{"meta":{"query_hash":"a7798cddc5c0","filters":{"venue":"Renewable Energy"},"cohort_total":362,"direct_labels_cover":3,"predictions_cover":362,"exported":362,"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/a7798cddc5c0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Renewable+Energy"},"results":[{"id":"W1139905439","doi":"10.1016/j.renene.2015.08.028","title":"Adaptive Neuro-Fuzzy Inference System modelling for performance prediction of solar thermal energy system","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Australian Government","keywords":"Adaptive neuro fuzzy inference system; Inference system; Neuro-fuzzy; Artificial neural network; Computer science; Range (aeronautics); Renewable energy; Flexibility (engineering); Solar energy; Machine learning; Fuzzy logic; Engineering; Artificial intelligence; Fuzzy control system; Statistics; Mathematics","score_opus":0.04017814854903167,"score_gpt":0.21155501547538524,"score_spread":0.17137686692635357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1139905439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15673661,0.0007619501,0.8320682,0.0002045169,0.00013077952,0.000082563456,0.00020537709,0.000689417,0.009120601],"genre_scores_gemma":[0.98747885,0.00010850121,0.010932822,0.000014855334,0.000012044566,0.000051763745,0.00006386802,0.0000132981,0.0013239348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997924,0.00006177289,0.000015138877,0.000045916877,0.00005948402,0.000025305431],"domain_scores_gemma":[0.9995938,0.00022351719,0.000041409385,0.000025246414,0.00010653422,0.0000095149435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056725973,0.00047681664,0.0007171278,0.00032109872,0.0004429241,0.0007810631,0.00081573357,0.00087360654,0.0015311919],"category_scores_gemma":[0.0014106439,0.00032504948,0.0005852267,0.0003868695,0.00022930787,0.0006052194,0.00032872308,0.0008683396,0.00032622143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041026506,0.000023431889,0.00029571896,0.000030851756,0.000020156098,0.000019731382,0.000021466636,0.9862185,0.00081093865,0.00047991387,0.00018841028,0.01184981],"study_design_scores_gemma":[0.000001357895,0.0000050774497,0.00010288829,0.0000015148499,0.0000024116837,0.0000014460343,0.000001374385,0.99957293,0.00014636769,0.00012878762,0.000034478486,0.0000013961841],"about_ca_topic_score_codex":0.019968648,"about_ca_topic_score_gemma":0.014218709,"teacher_disagreement_score":0.019968648,"about_ca_system_score_codex":0.00066552946,"about_ca_system_score_gemma":0.000545055,"threshold_uncertainty_score":0.03970486},"labels":[],"label_agreement":null},{"id":"W1899446485","doi":"10.1016/j.renene.2015.06.026","title":"The impact of land use constraints in multi-objective energy-noise wind farm layout optimization","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":96,"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; Hatch (Canada); University of Toronto","funders":"","keywords":"Wind power; Constraint (computer-aided design); Noise (video); Mathematical optimization; Computer science; Wind speed; Land use; Variable (mathematics); Environmental science; Civil engineering; Meteorology; Engineering; Geography; Mathematics","score_opus":0.025932678869761173,"score_gpt":0.25325733938437683,"score_spread":0.22732466051461567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1899446485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67638695,0.0012775903,0.29728198,0.0012580433,0.00020756162,0.00008856765,0.00045561616,0.00017649258,0.022867221],"genre_scores_gemma":[0.9889663,0.00013781137,0.008531456,0.00008329708,0.000024462477,0.000028157912,0.000058634658,0.00005246422,0.0021174822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995043,0.0002817364,0.000014917194,0.00003871285,0.00008386974,0.00007647737],"domain_scores_gemma":[0.9980318,0.001533998,0.00014998755,0.00004250636,0.00016701742,0.000074614356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013166537,0.00071962003,0.00086939277,0.00037153543,0.00037562512,0.0012107868,0.0005712258,0.0012770292,0.00218932],"category_scores_gemma":[0.006421616,0.00057629007,0.0003896228,0.0006185483,0.00048882794,0.0012493178,0.00057583133,0.00062867434,0.00013928195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027736449,0.000015201798,0.00032406556,0.000015004544,0.000009970666,0.000030392159,0.0000055657833,0.99733174,0.00020480568,0.0005521009,0.00012540516,0.0013580982],"study_design_scores_gemma":[0.0000067465107,0.000024566338,0.0003522842,0.0000029261785,0.0000049226755,0.0000049654122,0.000011180385,0.9990701,0.00012102612,0.0003397006,0.00005859891,0.0000030046003],"about_ca_topic_score_codex":0.012997103,"about_ca_topic_score_gemma":0.015458981,"teacher_disagreement_score":0.012997103,"about_ca_system_score_codex":0.00057744386,"about_ca_system_score_gemma":0.0007013415,"threshold_uncertainty_score":0.025842905},"labels":[],"label_agreement":null},{"id":"W1911450494","doi":"10.1016/j.renene.2015.06.020","title":"A new modeling approach for improved ground temperature profile determination","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"École de Technologie Supérieure; Natural Resources Canada","funders":"Australian Government","keywords":"Energy balance; Geothermal gradient; Geothermal energy; Environmental science; Sky; Energy (signal processing); Meteorology; Balance equation; Boundary value problem; Mathematics; Geology; Physics; Thermodynamics; Statistics; Geophysics; Mathematical analysis","score_opus":0.025922090143848706,"score_gpt":0.2385654212624997,"score_spread":0.21264333111865097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911450494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002785118,0.000048388745,0.99341077,0.00006282415,0.000049698367,0.00001989081,0.00007974288,0.0004988436,0.003044757],"genre_scores_gemma":[0.3781752,0.00052614324,0.60224736,0.00023398342,0.00014693421,0.0002763358,0.0006892827,0.0008705626,0.016834179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978906,0.00003249835,0.000012346963,0.00004454359,0.00010587909,0.000015727634],"domain_scores_gemma":[0.9997539,0.000046280034,0.000022108541,0.00005071629,0.000115268536,0.00001172561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026163846,0.0007904747,0.00073881255,0.00044901553,0.00047514882,0.0008857078,0.0015841472,0.000858056,0.0028536643],"category_scores_gemma":[0.00078927266,0.00047011877,0.00082641427,0.0005941344,0.0002108149,0.0015359517,0.0008130268,0.001122869,0.0010814251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019044932,0.000054382217,0.0005203075,0.00005894353,0.000038758913,0.00006753476,0.000056357596,0.931596,0.011342094,0.011024858,0.0015957414,0.043625902],"study_design_scores_gemma":[0.0000017422853,0.0000041184376,0.000039320956,0.000002072538,0.000004495494,0.000009486676,0.0000033126016,0.9969607,0.0007513878,0.00084068824,0.001378864,0.0000037215534],"about_ca_topic_score_codex":0.009976616,"about_ca_topic_score_gemma":0.014259778,"teacher_disagreement_score":0.009976616,"about_ca_system_score_codex":0.0005194172,"about_ca_system_score_gemma":0.0009983549,"threshold_uncertainty_score":0.019837081},"labels":[],"label_agreement":null},{"id":"W1918349052","doi":"10.1016/j.renene.2015.06.041","title":"Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":125,"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 Ottawa","funders":"Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Turbine; Kalman filter; Control theory (sociology); Fault (geology); Time–frequency analysis; Wind power; Filter (signal processing); Instantaneous phase; Energy (signal processing); SIGNAL (programming language); Computer science; Engineering; Acoustics; Geology; Mathematics; Artificial intelligence; Aerospace engineering","score_opus":0.014001307740947027,"score_gpt":0.2633798601467433,"score_spread":0.2493785524057963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1918349052","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":[0.10407347,0.0004307804,0.893981,0.00005148109,0.000048250477,0.000018134457,0.000036631493,0.0002934268,0.0010667542],"genre_scores_gemma":[0.9579179,0.00018685118,0.040819827,0.000014913514,0.0000133553895,0.000018395316,0.000060046237,0.000016105589,0.0009525739],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988556,0.000018138326,0.000013130998,0.000026812051,0.00004182557,0.0000145309605],"domain_scores_gemma":[0.99975175,0.00012485756,0.000031125302,0.000019465924,0.00006675526,0.000006100222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258255,0.000269603,0.00031659292,0.00040082383,0.00026152696,0.00035035893,0.00025028602,0.00033056785,0.00079084473],"category_scores_gemma":[0.000669472,0.00014655784,0.00031914518,0.00022564967,0.00014818326,0.00050805794,0.00021315302,0.00029719385,0.00014117181],"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":[0.0005984684,0.00014959136,0.0067324303,0.0004141787,0.00019505889,0.00026410876,0.0002858855,0.4187128,0.10527607,0.007835351,0.0010727841,0.45846328],"study_design_scores_gemma":[0.0000047952094,0.000031834585,0.0022634007,0.0000045390348,0.000014431627,0.000028927421,0.000013675193,0.9919391,0.0047986615,0.0006178553,0.00027648278,0.0000062259246],"about_ca_topic_score_codex":0.0039611147,"about_ca_topic_score_gemma":0.0045094136,"teacher_disagreement_score":0.0039611147,"about_ca_system_score_codex":0.0002212463,"about_ca_system_score_gemma":0.00030232995,"threshold_uncertainty_score":0.007876098},"labels":[],"label_agreement":null},{"id":"W1964354180","doi":"10.1016/j.renene.2014.11.017","title":"Biodiesel production and de-oiled seed cake nutritional values of a Mexican edible Jatropha curcas","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","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":"University of British Columbia","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Jatropha curcas; Biodiesel; Biodiesel production; Biofuel; Jatropha; Fossil fuel; Environmental science; Waste management; Bioenergy; Pulp and paper industry; Animal fat; Renewable energy; Biotechnology; Food science; Chemistry; Biology; Engineering; Organic chemistry; Ecology","score_opus":0.0070715304966919475,"score_gpt":0.19440697719056652,"score_spread":0.18733544669387456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964354180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994436,0.00024029078,0.00006684627,0.000016535105,0.0000023120308,0.0000021727662,0.000085156236,0.0000025062272,0.00014062833],"genre_scores_gemma":[0.99866366,0.00022381451,0.00017383994,0.000015427804,0.0000011064141,0.0000040605646,0.00015095758,0.0000044457033,0.00076275377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999443,0.0000076188444,0.000005838251,0.000017182205,0.0000118190155,0.000013183442],"domain_scores_gemma":[0.9998889,0.000011454442,0.00002399609,0.000009303908,0.00002717628,0.000039209262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396414,0.00038233327,0.00026189125,0.0006401202,0.0003218266,0.00035690446,0.00012851416,0.0002028844,0.0004985428],"category_scores_gemma":[0.0001362647,0.00013063857,0.00031056342,0.00038922744,0.00016639601,0.00026864954,0.00019740418,0.00029436266,0.00007754749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007274952,0.000047256173,0.0012185535,0.000047216803,0.000021974129,0.000079978956,0.00004532865,0.000086901084,0.9967565,0.00004248104,0.000010975288,0.0009153365],"study_design_scores_gemma":[0.00008350315,0.001030358,0.09505258,0.00002632517,0.00041044073,0.00030940206,0.00044921838,0.0012975306,0.89772093,0.00009356432,0.0034834,0.000042820775],"about_ca_topic_score_codex":0.007748348,"about_ca_topic_score_gemma":0.010042508,"teacher_disagreement_score":0.007748348,"about_ca_system_score_codex":0.00054898346,"about_ca_system_score_gemma":0.00023690367,"threshold_uncertainty_score":0.015406489},"labels":[],"label_agreement":null},{"id":"W1966450914","doi":"10.1016/j.renene.2010.06.044","title":"Numerical analysis of thermal response tests with a groundwater flow and heat transfer model","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":109,"is_retracted":false,"has_abstract":false,"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 Laval","funders":"IAMGOLD; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Line source; Heat transfer; Geothermal gradient; Mechanics; Groundwater flow; Piping; Groundwater; Heat exchanger; Thermal; Flow (mathematics); Heat equation; Heat pump; Environmental science; Geology; Geotechnical engineering; Thermodynamics; Mathematics; Physics; Aquifer; Geophysics; Acoustics; Environmental engineering","score_opus":0.008492689081586987,"score_gpt":0.2109945396671075,"score_spread":0.2025018505855205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966450914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9419124,0.00026850295,0.043283194,0.00036476477,0.00008925571,0.00012892229,0.00039005597,0.00039560418,0.013167329],"genre_scores_gemma":[0.99564064,0.000047479985,0.0031994344,0.000013965161,0.0000052003556,0.000042371088,0.0000722956,0.000021174646,0.0009574538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997106,0.00006996477,0.000019792877,0.000035645808,0.00009504053,0.000069016365],"domain_scores_gemma":[0.99899095,0.00062956905,0.00007081365,0.000087094304,0.0001770371,0.000044482316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896827,0.00055867614,0.0007977788,0.0007290853,0.00070750207,0.00061671523,0.00077931146,0.0010601034,0.0030477177],"category_scores_gemma":[0.0021210567,0.00030876667,0.00057031953,0.00056190277,0.0009154833,0.000545652,0.00045639358,0.00048075023,0.00024532643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048792825,0.00021439084,0.0018095898,0.00012791781,0.000016946315,0.0001887831,0.00008325676,0.9242222,0.06291946,0.0025939613,0.00050619605,0.0068294373],"study_design_scores_gemma":[0.000025470206,0.00010662357,0.00071340543,0.0000045800552,0.000007126452,0.000012195927,0.00003240711,0.9851961,0.013505708,0.00024484892,0.00014100078,0.000010459812],"about_ca_topic_score_codex":0.006322298,"about_ca_topic_score_gemma":0.003189568,"teacher_disagreement_score":0.006322298,"about_ca_system_score_codex":0.0006988948,"about_ca_system_score_gemma":0.0006655098,"threshold_uncertainty_score":0.012570977},"labels":[],"label_agreement":null},{"id":"W1968895664","doi":"10.1016/j.renene.2012.01.087","title":"Optimal planning and design of a renewable energy based supply system for microgrids","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":546,"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":"Lawrence Berkeley National Laboratory","keywords":"Microgrid; Renewable energy; Sizing; Environmental economics; Grid; Intermittent energy source; Engineering; Distributed generation; Economics; Electrical engineering","score_opus":0.009720182649826338,"score_gpt":0.1889641940989517,"score_spread":0.17924401144912538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968895664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09203268,0.0010081674,0.8669594,0.0009833473,0.0001332041,0.0003268037,0.00041927746,0.00055971864,0.03757737],"genre_scores_gemma":[0.95605195,0.00035607815,0.03896316,0.00006538124,0.000034631346,0.0002250862,0.00010114631,0.000050713872,0.0041518086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999728,0.0000962829,0.000010953521,0.00004713543,0.00007073653,0.00004678352],"domain_scores_gemma":[0.9997826,0.00007688316,0.000045511206,0.00000944007,0.000060142956,0.000025386402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004891686,0.0007065113,0.0010420558,0.0005559511,0.00062403537,0.001392522,0.0007579507,0.00084632775,0.0037383207],"category_scores_gemma":[0.0010904901,0.00091345573,0.0004934328,0.00069435773,0.0005643871,0.00074438786,0.0006963186,0.00064316066,0.00041157866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019868214,0.000009919513,0.000067356326,0.00002291039,0.000006953757,0.000023488881,0.000014331173,0.9939965,0.00039174073,0.002177715,0.00027329804,0.0029959052],"study_design_scores_gemma":[0.000008966332,0.000019597815,0.000060111022,0.000003640534,0.000004602075,0.0000046734235,0.000010912707,0.9981232,0.00012929218,0.0013503549,0.0002812924,0.0000032159023],"about_ca_topic_score_codex":0.013441666,"about_ca_topic_score_gemma":0.017453862,"teacher_disagreement_score":0.013441666,"about_ca_system_score_codex":0.0013487026,"about_ca_system_score_gemma":0.0018813816,"threshold_uncertainty_score":0.026726842},"labels":[],"label_agreement":null},{"id":"W1969004393","doi":"10.1016/j.renene.2012.02.030","title":"Opportunistic maintenance for wind farms considering multi-level imperfect maintenance thresholds","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":190,"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":"Corrective maintenance; Maintenance actions; Preventive maintenance; Wind power; Proactive maintenance; Imperfect; Reliability engineering; Turbine; Predictive maintenance; Optimal maintenance; Risk analysis (engineering); Component (thermodynamics); Planned maintenance; Computer science; Engineering; Business","score_opus":0.03896343840959492,"score_gpt":0.2386543358455003,"score_spread":0.1996908974359054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969004393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69497186,0.00062735484,0.29660082,0.00044301595,0.00007480908,0.000081545644,0.0002887933,0.00026315247,0.0066486057],"genre_scores_gemma":[0.997267,0.000032904372,0.0022393386,0.0000068747713,0.000006562324,0.000008998936,0.00002080526,0.000008084307,0.00040953496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995957,0.00012293429,0.00002138059,0.00006700492,0.00006711261,0.00012601184],"domain_scores_gemma":[0.9975924,0.0016523404,0.0003318284,0.00014020916,0.00018550993,0.000097711374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010679002,0.00053148664,0.0010269206,0.00037272295,0.00038786844,0.00082959794,0.0010927296,0.0008797638,0.0015626663],"category_scores_gemma":[0.0036638184,0.0005866921,0.00042857413,0.0006829434,0.00041289433,0.001036377,0.00045569363,0.00043320472,0.00010178219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001853626,0.00004384149,0.0013019079,0.000038744256,0.00003591167,0.00015186981,0.00001646607,0.98678,0.0006752123,0.0029251836,0.00035753215,0.007487863],"study_design_scores_gemma":[0.000009456486,0.00003163238,0.0007319961,0.0000025848774,0.000013029133,0.000029625744,0.000010697304,0.99726653,0.00011466856,0.0017420911,0.00004442167,0.0000031996171],"about_ca_topic_score_codex":0.0035800508,"about_ca_topic_score_gemma":0.006583176,"teacher_disagreement_score":0.0035800508,"about_ca_system_score_codex":0.0007453738,"about_ca_system_score_gemma":0.0006938633,"threshold_uncertainty_score":0.0071184635},"labels":[],"label_agreement":null},{"id":"W1969722181","doi":"10.1016/j.renene.2010.10.020","title":"Local wind-energy potential for the city of Guelph, Ontario (Canada)","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":true,"ca_institutions":"Natural Sciences and Engineering Research Council; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Wind power; Renewable energy; Turbine; Electricity generation; Environmental science; Electricity; Meteorology; Work (physics); Scale (ratio); Environmental economics; Environmental resource management; Power (physics); Geography; Engineering; Cartography; Electrical engineering; Economics; Aerospace engineering","score_opus":0.007094398070906137,"score_gpt":0.1837193488980923,"score_spread":0.17662495082718616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969722181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7073889,0.006548072,0.0016805257,0.0075445697,0.00020872288,0.0004914425,0.106992364,0.00040266858,0.16874276],"genre_scores_gemma":[0.84516346,0.0038034888,0.0030042727,0.00038248315,0.000033330038,0.00014328094,0.014142198,0.000083355655,0.13324419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996985,0.000016849393,0.000009249415,0.000026467702,0.000118459815,0.00013044481],"domain_scores_gemma":[0.99955624,0.000010667108,0.000018759638,0.00000639563,0.00026886055,0.00013918841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021661799,0.00038970934,0.0003321676,0.0009003429,0.0048113298,0.001894072,0.00081105786,0.0005110481,0.012313046],"category_scores_gemma":[0.0005427708,0.00031581995,0.00057474483,0.0028300593,0.00039254234,0.00047054418,0.00092384627,0.00047543467,0.0013973049],"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":[0.00080922415,0.00013606208,0.5703177,0.0021068775,0.00034211943,0.0031992192,0.0066423016,0.012643773,0.0035556832,0.013731703,0.26840198,0.118113436],"study_design_scores_gemma":[0.00009317283,0.000057100457,0.8703835,0.00031030315,0.000107861815,0.00033725245,0.0116189495,0.0035106686,0.00039321915,0.0006725118,0.112434,0.00008150476],"about_ca_topic_score_codex":0.99822825,"about_ca_topic_score_gemma":0.9997726,"teacher_disagreement_score":0.040252972,"about_ca_system_score_codex":0.040252972,"about_ca_system_score_gemma":0.059072666,"threshold_uncertainty_score":0.2920571},"labels":[],"label_agreement":null},{"id":"W1972351338","doi":"10.1016/j.renene.2010.08.022","title":"Development and commercialization of renewable energy technologies in Canada: An innovation system perspective","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Commercialization; Renewable energy; Greenhouse gas; Environmental economics; Business; Energy engineering; Renewable resource; Natural resource economics; Climate change; Industrial organization; Economics; Engineering; Marketing; Ecology","score_opus":0.010969403623017945,"score_gpt":0.20644542807561436,"score_spread":0.19547602445259643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972351338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70477015,0.0059980764,0.0024412733,0.043736387,0.00009651852,0.00019187768,0.0020068903,0.00009756584,0.2406612],"genre_scores_gemma":[0.97430915,0.0017177069,0.000926698,0.0008906996,0.00001442249,0.000018527904,0.00024039522,0.000011255472,0.021871189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99659985,0.00022018197,0.000074083175,0.00018378391,0.0012307989,0.0016912224],"domain_scores_gemma":[0.99509394,0.00082741806,0.0004229372,0.00009656947,0.002374595,0.0011846159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015268873,0.00023575586,0.00034175333,0.0030905923,0.007100539,0.008529797,0.0012571674,0.0017900596,0.005640127],"category_scores_gemma":[0.0046157744,0.00026868872,0.0005742892,0.0048757857,0.0037745994,0.0017797719,0.0018000174,0.0018345306,0.00016236673],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00016932108,0.0002448719,0.10119218,0.0003457676,0.00011428268,0.0009332841,0.005494629,0.01314652,0.0021400321,0.77891827,0.023994975,0.07330589],"study_design_scores_gemma":[0.00017815387,0.00019530246,0.5474733,0.0005947678,0.00022080283,0.00032157614,0.023440292,0.033181794,0.004601854,0.060100567,0.329371,0.00032065008],"about_ca_topic_score_codex":0.99631494,"about_ca_topic_score_gemma":0.9981766,"teacher_disagreement_score":0.81812066,"about_ca_system_score_codex":0.18187934,"about_ca_system_score_gemma":0.26634178,"threshold_uncertainty_score":0.948904},"labels":[],"label_agreement":null},{"id":"W1973134073","doi":"10.1016/j.renene.2010.03.007","title":"A numerical investigation into upstream boundary-layer interruption and its potential benefits for river and ocean kinetic hydropower","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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 Manitoba","funders":"","keywords":"Wake; Marine engineering; Hydropower; Turbine; Upstream (networking); Boundary layer; Environmental science; Storm; Geology; Meteorology; Flow (mathematics); Underwater; Computer simulation; Computer science; Simulation; Engineering; Mechanics; Aerospace engineering; Physics; Oceanography; Telecommunications","score_opus":0.010786876244007253,"score_gpt":0.22560021353843676,"score_spread":0.2148133372944295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973134073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97124094,0.00013480098,0.008032441,0.00031606219,0.00004021872,0.000018579318,0.00014137724,0.00006211644,0.02001354],"genre_scores_gemma":[0.99769384,0.000049177866,0.0012401179,0.000014545173,0.0000049885866,0.0000050511467,0.000030451769,0.000008933554,0.0009528743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999051,0.000032315715,0.000005738825,0.000010760852,0.00002006496,0.000026090647],"domain_scores_gemma":[0.9990459,0.00063383323,0.000078120116,0.00005885265,0.0000985538,0.00008460552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031881308,0.00018596901,0.00036127892,0.00030789713,0.0005659536,0.00088794495,0.00058246346,0.0009018063,0.0037607304],"category_scores_gemma":[0.0030132728,0.00020896537,0.00035489805,0.00048348273,0.0006420715,0.00057134015,0.0004476142,0.00073143054,0.00013623209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025503334,0.00016292758,0.011298194,0.000054671724,0.0000204004,0.00032331637,0.00010251282,0.9730373,0.0029260153,0.006050146,0.00049494655,0.0052744425],"study_design_scores_gemma":[0.000024568068,0.00007260719,0.0033944733,0.000008303058,0.0000154215,0.000032439966,0.00017606893,0.994453,0.0006672557,0.0008338932,0.00031246623,0.0000094909765],"about_ca_topic_score_codex":0.010873231,"about_ca_topic_score_gemma":0.00953175,"teacher_disagreement_score":0.010873231,"about_ca_system_score_codex":0.0005596973,"about_ca_system_score_gemma":0.00053643895,"threshold_uncertainty_score":0.021619856},"labels":[],"label_agreement":null},{"id":"W1974928082","doi":"10.1016/j.renene.2008.04.026","title":"Design and experimental investigation of portable solar thermoelectric refrigerator","year":2008,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":179,"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":"Refrigerator car; Refrigeration; Thermoelectric cooling; Thermoelectric effect; Absorption refrigerator; Environmental science; Electricity; Nuclear engineering; Coefficient of performance; Engineering; Mechanical engineering; Waste management; Automotive engineering; Materials science; Electrical engineering; Thermodynamics; Refrigerant; Physics; Heat exchanger","score_opus":0.01664258259625936,"score_gpt":0.21818619889866245,"score_spread":0.20154361630240308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974928082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89854795,0.00022202567,0.09049871,0.00016025589,0.00015282173,0.0013431433,0.00094612717,0.00077057333,0.0073583517],"genre_scores_gemma":[0.9589398,0.00013138914,0.0340304,0.000055256438,0.00002706475,0.0009859054,0.0002906124,0.000058710222,0.0054807873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959713,0.000061969615,0.000019831781,0.00013513715,0.00013129659,0.000054651395],"domain_scores_gemma":[0.99966395,0.00007512326,0.00004122284,0.0000865249,0.0001036436,0.00002949032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045682513,0.00053610624,0.0005379877,0.0002469106,0.0006018239,0.00037735127,0.0011225904,0.0005870616,0.005227143],"category_scores_gemma":[0.0004488897,0.00027654442,0.00035713112,0.00018283357,0.00034591166,0.00037668692,0.0003401656,0.00033254118,0.00063441263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016485775,0.00061863655,0.002740199,0.00097033905,0.00004689897,0.0002523594,0.00021705915,0.006320406,0.95229787,0.001126399,0.0008639655,0.03289733],"study_design_scores_gemma":[0.00045928045,0.0064549805,0.011111572,0.000025286745,0.000112273316,0.000301921,0.0001923374,0.024359122,0.94732445,0.00028670763,0.009318772,0.000053287193],"about_ca_topic_score_codex":0.0004993258,"about_ca_topic_score_gemma":0.0005870814,"teacher_disagreement_score":0.005227143,"about_ca_system_score_codex":0.0002990778,"about_ca_system_score_gemma":0.0005004255,"threshold_uncertainty_score":0.017486572},"labels":[],"label_agreement":null},{"id":"W1978076019","doi":"10.1016/j.renene.2003.12.006","title":"Electrolytic hydrogen based renewable energy system with oxygen recovery and re-utilization","year":2004,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":57,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"High-pressure electrolysis; Hydrogen fuel; Energy storage; Hydrogen storage; Hydrogen fuel enhancement; Renewable energy; Power to gas; Hydrogen; Electrolysis; Process engineering; Environmental science; Waste management; Chemistry; Electrolyte; Engineering; Electrical engineering; Power (physics); Electrode","score_opus":0.011050036652978592,"score_gpt":0.19633467297240886,"score_spread":0.18528463631943026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978076019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.879745,0.0010120992,0.08257545,0.00052430236,0.00043250882,0.00028394745,0.00073115557,0.0029015238,0.03179401],"genre_scores_gemma":[0.97621197,0.00021737769,0.010678563,0.00008761745,0.000039048788,0.00006574766,0.00030790796,0.0000305253,0.012361221],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988973,0.000008397408,0.000008762104,0.000029558822,0.000046362093,0.000017079621],"domain_scores_gemma":[0.9999256,0.000009343696,0.0000061305273,0.00001641666,0.000028649652,0.000013933568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015183788,0.00024200082,0.0005752285,0.00026798798,0.00059928757,0.00048644058,0.00093334354,0.0004146927,0.004803106],"category_scores_gemma":[0.000107688415,0.000174306,0.00022814247,0.00037079485,0.00016404962,0.00063994393,0.0003315592,0.0003445921,0.0011731895],"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":[0.0010938658,0.00091568305,0.0015657531,0.00045971744,0.000113943766,0.00061380625,0.0001345118,0.008915221,0.8693322,0.0046569235,0.0057155285,0.106482856],"study_design_scores_gemma":[0.00039282325,0.00084513694,0.0034482905,0.000013552588,0.00010948109,0.0006054998,0.000092637216,0.050619937,0.926201,0.0019755303,0.015647806,0.00004825166],"about_ca_topic_score_codex":0.0007666514,"about_ca_topic_score_gemma":0.001955291,"teacher_disagreement_score":0.004803106,"about_ca_system_score_codex":0.00023563384,"about_ca_system_score_gemma":0.00031205273,"threshold_uncertainty_score":0.016067922},"labels":[],"label_agreement":null},{"id":"W1980289102","doi":"10.1016/j.renene.2014.08.012","title":"Coordinated charging of plug-in hybrid electric vehicles in smart hybrid AC/DC distribution systems","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":72,"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":"Plug-in; Converters; Hybrid system; Automotive engineering; Scheme (mathematics); Computer science; Work (physics); Electric vehicle; Engineering; Order (exchange); Voltage; Electrical engineering; Power (physics)","score_opus":0.0033697285395764254,"score_gpt":0.16924891851689267,"score_spread":0.16587918997731624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980289102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4307021,0.00057799637,0.53391916,0.00045012188,0.00031739633,0.00014212039,0.0001730703,0.0007806259,0.032937482],"genre_scores_gemma":[0.99696964,0.000027546444,0.0018901555,0.00001259525,0.000008575006,0.000007810774,0.00001480967,0.000008748219,0.0010601194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997751,0.000073237796,0.000010027737,0.00003630592,0.000051652616,0.000053677806],"domain_scores_gemma":[0.9998043,0.00006320213,0.000019912995,0.00002584686,0.000062463245,0.000024336887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029297482,0.00029296448,0.0005468761,0.00021676281,0.0004089674,0.0010963206,0.0004983069,0.0002642623,0.002543302],"category_scores_gemma":[0.00051342865,0.0001920811,0.0001900462,0.00036398857,0.00027181645,0.0006108388,0.0004936772,0.0002918694,0.00022864921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090863643,0.00016210056,0.0030963148,0.00013654363,0.000103681756,0.00041461232,0.00015108383,0.87679285,0.011282785,0.023789354,0.0036657574,0.07949629],"study_design_scores_gemma":[0.000025694702,0.00009041206,0.0007871026,0.000004339804,0.000019123638,0.0000602512,0.000083361265,0.9886981,0.002387104,0.0063112197,0.0015272074,0.0000060269795],"about_ca_topic_score_codex":0.001740422,"about_ca_topic_score_gemma":0.0042593507,"teacher_disagreement_score":0.002543302,"about_ca_system_score_codex":0.00043174488,"about_ca_system_score_gemma":0.00041377914,"threshold_uncertainty_score":0.008508205},"labels":[],"label_agreement":null},{"id":"W1982010860","doi":"10.1016/j.renene.2015.01.037","title":"Experimental investigation of wind effects on a standalone photovoltaic (PV) module","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":163,"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":"Ontario Centres of Excellence","keywords":"Photovoltaic system; Terrain; Surface pressure; Environmental science; Wind tunnel; Wind direction; Wind speed; Meteorology; Marine engineering; Atmospheric sciences; Geology; Engineering; Electrical engineering; Physics; Aerospace engineering; Geography; Cartography","score_opus":0.02015621860886004,"score_gpt":0.241323023132749,"score_spread":0.22116680452388895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982010860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938465,0.00005502455,0.0038210475,0.000026240445,0.000027092234,0.00003181441,0.00027320805,0.000121744095,0.0017972528],"genre_scores_gemma":[0.9984059,0.000024143153,0.0006880132,0.000006177073,0.0000037088018,0.000012823469,0.00006480716,0.00001654531,0.0007779374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998265,0.00002994554,0.000009601513,0.000038881826,0.00006108692,0.00003392828],"domain_scores_gemma":[0.99938905,0.00028227136,0.000052513333,0.00008393335,0.0001507723,0.000041392377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020708503,0.00040656724,0.0004583559,0.00020206643,0.00047374459,0.00027414816,0.0005945179,0.0006606382,0.0042797383],"category_scores_gemma":[0.0005227993,0.00019800325,0.00035601342,0.00023645596,0.00026936922,0.00038359498,0.00019829326,0.00039946052,0.00038824463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022401025,0.0007946648,0.0043452005,0.0004426193,0.00006857844,0.00057330815,0.00018069289,0.017434318,0.9594818,0.00030301517,0.00048279157,0.01365293],"study_design_scores_gemma":[0.00025023377,0.0066499636,0.03567724,0.000041641957,0.0001462178,0.0004089189,0.00029650982,0.084770076,0.86972255,0.00028502604,0.001712683,0.00003892125],"about_ca_topic_score_codex":0.00059155666,"about_ca_topic_score_gemma":0.0011050865,"teacher_disagreement_score":0.0042797383,"about_ca_system_score_codex":0.00019311611,"about_ca_system_score_gemma":0.00014953267,"threshold_uncertainty_score":0.014317155},"labels":[],"label_agreement":null},{"id":"W1985089323","doi":"10.1016/j.renene.2014.02.004","title":"The role of public participation in identifying stakeholder synergies in wind power project development: The case study of Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wind power; Renewable energy; Stakeholder; Public participation; Business; Public consultation; Stakeholder engagement; Public engagement; Scope (computer science); Process (computing); Environmental economics; Greenhouse gas; Environmental resource management; Environmental planning; Marketing; Public relations; Economics; Engineering; Political science; Computer science; Civil engineering","score_opus":0.04372760106403541,"score_gpt":0.2860649468212669,"score_spread":0.24233734575723148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985089323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628775,0.00011635815,0.00058282365,0.002286089,0.000008143542,0.00012754154,0.000035981193,0.0000055981754,0.03395993],"genre_scores_gemma":[0.9982198,0.00005446457,0.00023414723,0.000036387566,0.0000010944159,0.000016258944,0.0000074361114,0.0000014682759,0.0014290554],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9938513,0.00269416,0.00011388486,0.00021697604,0.0011518231,0.0019718192],"domain_scores_gemma":[0.9889768,0.0060900557,0.00083220674,0.0002779643,0.0021824706,0.0016404518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069515463,0.00024899357,0.00028989042,0.0016413102,0.015321217,0.0050930027,0.0010317443,0.0013034914,0.0024368346],"category_scores_gemma":[0.012385873,0.0002489822,0.00029176896,0.00213639,0.0052791922,0.0014154877,0.0028386589,0.0012154209,0.000094234805],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003986638,0.0006029109,0.33020344,0.0003233588,0.000106965876,0.006025065,0.51932037,0.004757041,0.0027421247,0.04024778,0.0061950665,0.089077175],"study_design_scores_gemma":[0.00003566719,0.00012898185,0.17683955,0.00020102257,0.0000629545,0.0002499856,0.7884143,0.0036689548,0.00069125055,0.0033349951,0.026327351,0.000045032808],"about_ca_topic_score_codex":0.9482904,"about_ca_topic_score_gemma":0.9856155,"teacher_disagreement_score":0.053248707,"about_ca_system_score_codex":0.053248707,"about_ca_system_score_gemma":0.09855558,"threshold_uncertainty_score":0.3863482},"labels":[],"label_agreement":null},{"id":"W1988717371","doi":"10.1016/j.renene.2014.05.009","title":"Study of the influence of imposed turbulence on the asymptotic wake deficit in a very long line of wind turbines","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":26,"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 Supercomputer Centre, Linköpings Universitet; Energimyndigheten","keywords":"Turbulence; Turbulence kinetic energy; Mechanics; Wake; Turbine; Turbulence modeling; K-omega turbulence model; K-epsilon turbulence model; Physics; Wind power; Rotor (electric); Meteorology; Engineering; Thermodynamics","score_opus":0.009235751769811066,"score_gpt":0.2007904959595691,"score_spread":0.19155474418975804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988717371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937534,0.00014810466,0.0038540852,0.000048946044,0.000028701159,0.0000079440115,0.00003075018,0.00003559573,0.0020925233],"genre_scores_gemma":[0.999564,0.000025470734,0.00014043509,0.000004106364,0.0000073475926,0.000001927053,0.000016702541,0.0000059383233,0.00023403697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999213,0.000022176679,0.0000040212094,0.00001070662,0.000020486303,0.000021199066],"domain_scores_gemma":[0.99914575,0.0004919179,0.00008872654,0.000038294056,0.0001269068,0.000108422915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016430416,0.00021286766,0.00030190768,0.00028960753,0.00038534202,0.00035622463,0.0002730255,0.00033896088,0.0009252958],"category_scores_gemma":[0.0012351819,0.00010640381,0.00035121018,0.00015269595,0.0005234767,0.00023626619,0.00031382972,0.00043412097,0.00007217982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032082137,0.0009066407,0.054968335,0.00042103822,0.00025411995,0.0059220083,0.00048064426,0.51725143,0.38580537,0.0064453348,0.0015374172,0.022799369],"study_design_scores_gemma":[0.00007142433,0.0007167787,0.07436951,0.000021911432,0.00007619005,0.00037540132,0.00026095606,0.9051299,0.017629787,0.00080060266,0.00049405947,0.00005346263],"about_ca_topic_score_codex":0.0021931075,"about_ca_topic_score_gemma":0.0013986157,"teacher_disagreement_score":0.0021931075,"about_ca_system_score_codex":0.00020068858,"about_ca_system_score_gemma":0.00023229692,"threshold_uncertainty_score":0.004360676},"labels":[],"label_agreement":null},{"id":"W1989618028","doi":"10.1016/j.renene.2010.10.028","title":"Condition based maintenance optimization for wind power generation systems under continuous monitoring","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":357,"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":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Turbine; Wind power; Prognostics; Condition monitoring; Reliability engineering; Condition-based maintenance; Maintenance actions; Engineering; Maintenance engineering; Interval (graph theory); Computer science; Mechanical engineering","score_opus":0.007728710704583281,"score_gpt":0.20307393731428824,"score_spread":0.19534522660970496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989618028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4093872,0.0010611935,0.5831575,0.00047402698,0.00007483377,0.0001574666,0.00040285737,0.0004777471,0.0048072306],"genre_scores_gemma":[0.98639864,0.000108005384,0.012358648,0.000016189819,0.00002257982,0.00004938466,0.0001165029,0.00003235879,0.0008977398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996879,0.00012372428,0.000017446348,0.000055412977,0.000074629774,0.00004098471],"domain_scores_gemma":[0.9985114,0.0010720438,0.0001817506,0.000047189544,0.00014621101,0.000041436444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010478052,0.0010445039,0.0013664634,0.0007427729,0.0002878063,0.000844894,0.000708681,0.0010794459,0.0015442638],"category_scores_gemma":[0.0030286626,0.0007793709,0.00055062264,0.00053043774,0.0004749978,0.0011692708,0.0003711262,0.0006571972,0.00015073117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109707136,0.000037794245,0.0003532771,0.000030159426,0.000028262828,0.00002662715,0.000011210528,0.9922565,0.00064542756,0.00047727337,0.00021408733,0.0058095795],"study_design_scores_gemma":[0.0000085028905,0.000025973452,0.00025960366,0.0000012415477,0.0000056644867,0.0000044544036,0.000002171166,0.9992601,0.00009642995,0.0003168384,0.000017291888,0.0000017230411],"about_ca_topic_score_codex":0.0047857007,"about_ca_topic_score_gemma":0.003745221,"teacher_disagreement_score":0.0047857007,"about_ca_system_score_codex":0.00062677637,"about_ca_system_score_gemma":0.00054268725,"threshold_uncertainty_score":0.009515643},"labels":[],"label_agreement":null},{"id":"W1995220601","doi":"10.1016/j.renene.2013.12.035","title":"Hydrodynamics-based floating wind turbine support platform optimization: A basis function approach","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":41,"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":"Nacelle; Catenary; Turbine; Basis (linear algebra); Optimization problem; Set (abstract data type); Computer science; Engineering; Basis function; Simulation; Marine engineering; Mechanical engineering; Structural engineering; Mathematics; Algorithm; Geometry","score_opus":0.007503673946128181,"score_gpt":0.16616124940816782,"score_spread":0.15865757546203962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995220601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043843787,0.00027026693,0.94587064,0.00044578887,0.0001300154,0.0000759421,0.00011575914,0.00021342837,0.009034339],"genre_scores_gemma":[0.8483478,0.00054282596,0.1375084,0.00023750149,0.0001952902,0.00039330847,0.00032630772,0.00028634572,0.012162245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998305,0.00006594743,0.000007183464,0.00001890534,0.00005372083,0.000023769642],"domain_scores_gemma":[0.99961,0.00018109522,0.00003483839,0.000028093831,0.00010882207,0.0000372609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068723987,0.00097240676,0.0014567566,0.0005115504,0.0005030967,0.0010515488,0.0010158863,0.0016241457,0.0027213087],"category_scores_gemma":[0.0013636058,0.00059080275,0.00081301125,0.0005990726,0.0007287675,0.0009434799,0.0010619371,0.0011466356,0.00045111403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018712219,0.000024080595,0.00009971046,0.00001899515,0.000014481817,0.000018999317,0.000007386945,0.99145526,0.00039157819,0.002646153,0.00024164807,0.005062988],"study_design_scores_gemma":[0.00000284981,0.000005391269,0.000020997346,0.0000010755701,0.0000011718004,0.0000011653345,0.000002246078,0.9995442,0.000030878324,0.00033726633,0.00005154528,0.0000011045482],"about_ca_topic_score_codex":0.0048307916,"about_ca_topic_score_gemma":0.0035033505,"teacher_disagreement_score":0.0048307916,"about_ca_system_score_codex":0.00039262016,"about_ca_system_score_gemma":0.0013788313,"threshold_uncertainty_score":0.009605348},"labels":[],"label_agreement":null},{"id":"W1999657214","doi":"10.1016/j.renene.2014.01.034","title":"Managing solar-PV variability with geographical dispersion: An Ontario (Canada) case-study","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Photovoltaic system; Dispersion (optics); Environmental science; Software deployment; Meteorology; Production (economics); Solar energy; Geographic information system; Spatial dispersion; Atmospheric sciences; Geography; Cartography; Computer science; Engineering; Geology; Physics; Economics","score_opus":0.02896427888963808,"score_gpt":0.19921489456363697,"score_spread":0.1702506156739989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999657214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652805,0.0007923125,0.0035550017,0.0022188586,0.000026486718,0.00021054846,0.0012525073,0.00007326551,0.026590452],"genre_scores_gemma":[0.9895717,0.0005012621,0.0022855217,0.000086852386,0.000011845501,0.000031956664,0.00038786785,0.00001980608,0.0071032727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991555,0.00015404528,0.000025163201,0.0000823711,0.00024487328,0.00033806116],"domain_scores_gemma":[0.9977725,0.00084870553,0.00020278641,0.00011420222,0.0007417887,0.00031996137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009521215,0.0004673505,0.00041716223,0.0007758593,0.0030925132,0.0024183644,0.0016766614,0.0016112445,0.002359241],"category_scores_gemma":[0.0036462606,0.00028117225,0.0005503464,0.0031222575,0.0012469122,0.0009225778,0.0010095711,0.0008461685,0.00018569082],"study_design_candidate":"observational","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":[0.001023217,0.0014451678,0.2489353,0.0003814723,0.00040298727,0.0081770085,0.0042391187,0.57805127,0.0032708722,0.03029764,0.029945947,0.09382998],"study_design_scores_gemma":[0.000778003,0.0006419207,0.29354045,0.0002027095,0.000629855,0.0015386548,0.027744502,0.5930078,0.0031958167,0.010079909,0.068280116,0.00036023845],"about_ca_topic_score_codex":0.9879837,"about_ca_topic_score_gemma":0.9916112,"teacher_disagreement_score":0.029240375,"about_ca_system_score_codex":0.029240375,"about_ca_system_score_gemma":0.020339593,"threshold_uncertainty_score":0.2121548},"labels":[],"label_agreement":null},{"id":"W2000483531","doi":"10.1016/j.renene.2014.12.060","title":"Performance assessment of a magnesium chloride saturated solar pond","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar-Powered Water Purification Methods","field":"Energy","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":"Solar pond; Convection zone; Exergy; Thermal energy storage; Freezing point; Solar energy; Environmental science; Magnesium; Convection; Exergy efficiency; Energy storage; Mineralogy; Chemistry; Materials science; Thermodynamics; Metallurgy; Physics; Ecology","score_opus":0.03466160660303787,"score_gpt":0.28946158294947405,"score_spread":0.2547999763464362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000483531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493575,0.00008515103,0.00311048,0.000050956,0.000012551838,0.000039172333,0.00013000064,0.00016378798,0.0014720793],"genre_scores_gemma":[0.9978064,0.0000461206,0.0009208414,0.0000120835275,0.000002019189,0.000008502545,0.000043459793,0.000007058814,0.0011535303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965775,0.000052559724,0.000023578186,0.000058166435,0.0001616115,0.000046324818],"domain_scores_gemma":[0.9996189,0.00009336559,0.00003177756,0.00003705845,0.00016909985,0.000049697013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004186811,0.0003042331,0.000541374,0.00026088968,0.0007403729,0.0006023834,0.00083899853,0.0008825168,0.0017957396],"category_scores_gemma":[0.0006675314,0.00016902399,0.00035738965,0.000319234,0.000301257,0.0004616259,0.0005192516,0.0002467332,0.0004995139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003709582,0.00049260206,0.009857953,0.0004617924,0.000048612375,0.00038890104,0.00018110276,0.02945193,0.9247074,0.00023474377,0.00043758668,0.030027853],"study_design_scores_gemma":[0.0001644062,0.0041453377,0.013790798,0.0000145323165,0.00008845154,0.0001697812,0.0002328939,0.075483166,0.90407956,0.00013956698,0.0016602806,0.000031189727],"about_ca_topic_score_codex":0.0039846897,"about_ca_topic_score_gemma":0.004529659,"teacher_disagreement_score":0.0039846897,"about_ca_system_score_codex":0.00067103765,"about_ca_system_score_gemma":0.0007327323,"threshold_uncertainty_score":0.007923007},"labels":[],"label_agreement":null},{"id":"W2000539974","doi":"10.1016/j.renene.2014.02.002","title":"Woodland owners' attitudes towards energy from forest biomass in a carbon-intensive jurisdiction: Case study of Nova Scotia, Canada","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Woodland; Jurisdiction; Biomass (ecology); Forestry; Geography; Nova (rocket); Environmental protection; Archaeology; Political science; Engineering; Ecology; Law","score_opus":0.015281585622899245,"score_gpt":0.2625256926045533,"score_spread":0.24724410698165403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000539974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797374,0.000048920694,0.000019436346,0.00012299283,0.0000018027124,0.000015990432,0.00006851852,7.715471e-7,0.0017478538],"genre_scores_gemma":[0.99800366,0.00012370976,0.00007300742,0.00007285934,0.0000010097964,0.0000073920537,0.000049291946,0.0000013377157,0.001667689],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99920756,0.00012583024,0.000020067682,0.00006350755,0.00014370991,0.0004394448],"domain_scores_gemma":[0.99869186,0.00024896755,0.0001774553,0.000028682907,0.00040870046,0.00044424768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005169085,0.0002618034,0.00032574314,0.0010037477,0.008976804,0.0019873723,0.00096248573,0.0006348566,0.0021546409],"category_scores_gemma":[0.0013419017,0.00024584134,0.00026318812,0.0019133942,0.0021015652,0.0004210279,0.001237582,0.0008698741,0.00014345288],"study_design_candidate":"qualitative","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":[0.00019312705,0.0005406401,0.8073686,0.000122717,0.000065430846,0.0077084205,0.16310675,0.0006130919,0.0020183825,0.0018534053,0.0024092689,0.014000135],"study_design_scores_gemma":[0.000017413187,0.00011091864,0.53309524,0.00010561033,0.00003528574,0.0006573258,0.45973584,0.00082851,0.00035624017,0.000119726865,0.004899419,0.000038375256],"about_ca_topic_score_codex":0.9955843,"about_ca_topic_score_gemma":0.99892527,"teacher_disagreement_score":0.029069088,"about_ca_system_score_codex":0.029069088,"about_ca_system_score_gemma":0.026091687,"threshold_uncertainty_score":0.21091199},"labels":[],"label_agreement":null},{"id":"W2004117389","doi":"10.1016/j.renene.2009.06.023","title":"Power potential of a split tidal channel","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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 British Columbia","funders":"","keywords":"Channel (broadcasting); Tidal power; Kinetic energy; Environmental science; Renewable energy; Flow (mathematics); Extraction (chemistry); Marine energy; Flux (metallurgy); Mechanics; Computer science; Engineering; Physics; Marine engineering; Telecommunications; Chemistry; Electrical engineering","score_opus":0.004843838913708506,"score_gpt":0.18849125710438783,"score_spread":0.1836474181906793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004117389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89754766,0.00015703491,0.021919979,0.0006637302,0.00007979215,0.00002339089,0.00028076366,0.00012193462,0.07920572],"genre_scores_gemma":[0.9957326,0.00003306359,0.00041932013,0.00001265893,0.000009436467,0.0000044140647,0.000023757711,0.000008346528,0.0037564307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999409,0.000009068959,0.0000017114335,0.000012605829,0.000011891241,0.000023811386],"domain_scores_gemma":[0.9997801,0.00005819631,0.000014585948,0.000019963167,0.000047355108,0.00007983828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121313315,0.00014357836,0.0003031829,0.00029984865,0.0008057277,0.0010905095,0.00037704004,0.00059110945,0.0095537985],"category_scores_gemma":[0.0006036806,0.00020536061,0.00019914229,0.00035110756,0.0008859209,0.0010330525,0.0010664505,0.00036951725,0.00057785376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002050578,0.00025491868,0.01597655,0.00014326395,0.00007382604,0.0025635674,0.00039417623,0.536819,0.03458044,0.35760772,0.005349395,0.044186648],"study_design_scores_gemma":[0.00017968428,0.00029872035,0.006160582,0.000026282338,0.000058653473,0.00055228896,0.00067300786,0.8708179,0.004663115,0.11203614,0.0044816006,0.000052115964],"about_ca_topic_score_codex":0.0017901388,"about_ca_topic_score_gemma":0.0019252524,"teacher_disagreement_score":0.0095537985,"about_ca_system_score_codex":0.00042551794,"about_ca_system_score_gemma":0.00065361866,"threshold_uncertainty_score":0.031960607},"labels":[],"label_agreement":null},{"id":"W2006436736","doi":"10.1016/j.renene.2011.05.031","title":"Impact of active power curtailment on overvoltage prevention and energy production of PV inverters connected to low voltage residential feeders","year":2011,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":146,"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":"Overvoltage; Photovoltaic system; Electrical engineering; Sizing; Photovoltaics; Voltage; Low voltage; Engineering; Automotive engineering; Environmental science","score_opus":0.0066515729355990675,"score_gpt":0.1970462181343983,"score_spread":0.19039464519879923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006436736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932302,0.00012345938,0.003322511,0.00006129824,0.00002768969,0.000013497581,0.00011147777,0.00017895352,0.002930765],"genre_scores_gemma":[0.9994881,0.00002040275,0.00012787193,0.000008436529,0.000003526427,0.0000016032095,0.00004005693,0.0000070078563,0.00030296497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967575,0.000097959615,0.000018604516,0.000046248406,0.00007304449,0.00008839118],"domain_scores_gemma":[0.99804556,0.001224826,0.00017853272,0.00013505845,0.00030368828,0.00011220459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038776564,0.00039908162,0.00053816306,0.00030356293,0.00028144554,0.0006584975,0.00043791597,0.0005315426,0.002506516],"category_scores_gemma":[0.0024021466,0.00018600129,0.00036895194,0.00030877875,0.00027772153,0.00041875037,0.0003019221,0.00041410665,0.00033343481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011365382,0.0013260823,0.056513924,0.00069223804,0.00045292688,0.0021067385,0.00036333132,0.5198603,0.27323765,0.0020663985,0.0019689235,0.1300461],"study_design_scores_gemma":[0.00041969868,0.0050978707,0.2635322,0.00007730989,0.0007448985,0.0006592355,0.0006087613,0.54966986,0.17464711,0.0020384735,0.0024490298,0.00005560515],"about_ca_topic_score_codex":0.0041872673,"about_ca_topic_score_gemma":0.004221888,"teacher_disagreement_score":0.0041872673,"about_ca_system_score_codex":0.00054042944,"about_ca_system_score_gemma":0.000277035,"threshold_uncertainty_score":0.008385181},"labels":[],"label_agreement":null},{"id":"W2012358275","doi":"10.1016/j.renene.2010.02.017","title":"Integration of wave power in Haida Gwaii","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":27,"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":"Capital cost; Submarine pipeline; Wave power; Cost estimate; Environmental science; Resource (disambiguation); Marine engineering; Engineering; Meteorology; Energy (signal processing); Oceanography; Geography; Geology; Computer science; Systems engineering; Electrical engineering; Statistics","score_opus":0.008133102652866868,"score_gpt":0.1873075518306893,"score_spread":0.17917444917782244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012358275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74435776,0.00050504354,0.005109608,0.0013001225,0.00024745657,0.00011788173,0.0002505381,0.00012373744,0.24798787],"genre_scores_gemma":[0.93840164,0.00031523698,0.003324098,0.00010074954,0.000035404617,0.000036261983,0.00020502065,0.000021252932,0.05756026],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99990106,0.000008451541,0.0000046873233,0.000015197128,0.000042677326,0.000028014483],"domain_scores_gemma":[0.99994195,0.0000052870787,0.0000063575408,0.00000502967,0.000029209845,0.000012233066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001307415,0.00018203254,0.00017666056,0.000423709,0.0012488943,0.0011806716,0.0002527235,0.00038345443,0.005995741],"category_scores_gemma":[0.0001648748,0.00019003026,0.00016157815,0.0010694182,0.00034193302,0.0005808245,0.00064372923,0.00050480606,0.0006563231],"study_design_candidate":"observational","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":[0.0010095675,0.0006373592,0.15083513,0.00044379706,0.0001924762,0.010157739,0.010830727,0.018214876,0.057719808,0.16692348,0.02109576,0.5619393],"study_design_scores_gemma":[0.00014614836,0.00047748318,0.47961614,0.00015164408,0.00032940417,0.0031062837,0.020197408,0.05195537,0.017662497,0.018820237,0.40737644,0.0001608669],"about_ca_topic_score_codex":0.02629387,"about_ca_topic_score_gemma":0.0732284,"teacher_disagreement_score":0.9737061,"about_ca_system_score_codex":0.0011323829,"about_ca_system_score_gemma":0.0020695738,"threshold_uncertainty_score":0.052281678},"labels":[],"label_agreement":null},{"id":"W2012493925","doi":"10.1016/j.renene.2012.08.081","title":"An economic and functional tool for assessing the financial feasibility of farm-based anaerobic digesters","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","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":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"","keywords":"Investment (military); Business; Net present value; Renewable energy; Environmental economics; Finance; Private sector; Payback period; Production (economics); Economics; Engineering; Economic growth; Microeconomics","score_opus":0.01908529153127753,"score_gpt":0.24152434807537979,"score_spread":0.22243905654410226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012493925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8779544,0.00023686732,0.07873265,0.00028429148,0.000040648043,0.00044191003,0.0048851445,0.0003431593,0.03708088],"genre_scores_gemma":[0.9719089,0.00006223509,0.024358088,0.000017964758,0.000008871329,0.00017747412,0.000963564,0.000021020403,0.0024819043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831796,0.0006036546,0.000088188484,0.00007689824,0.0008018859,0.00011142659],"domain_scores_gemma":[0.99560875,0.0027194633,0.0005536053,0.0001696691,0.00082098163,0.0001276199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032480853,0.00068294205,0.00036853694,0.0041495725,0.0004688187,0.0016416033,0.0006136251,0.0008982987,0.0043373257],"category_scores_gemma":[0.0075035784,0.00024061442,0.00046804955,0.001774942,0.0004206895,0.002189574,0.0007046876,0.00038388564,0.00072454294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034567344,0.0019541078,0.29060546,0.00042480035,0.00028661394,0.0009993998,0.00028531853,0.3149591,0.050480362,0.03162301,0.0074790968,0.29744598],"study_design_scores_gemma":[0.00011877961,0.002665769,0.15572111,0.000100927,0.0001434057,0.0005895231,0.0010952645,0.75522536,0.056521725,0.011773513,0.015844837,0.00019984861],"about_ca_topic_score_codex":0.002276842,"about_ca_topic_score_gemma":0.0025517875,"teacher_disagreement_score":0.0043373257,"about_ca_system_score_codex":0.0015905133,"about_ca_system_score_gemma":0.0011463113,"threshold_uncertainty_score":0.017177701},"labels":[],"label_agreement":null},{"id":"W2013697650","doi":"10.1016/j.renene.2007.03.001","title":"Numerical study of solar-wind tower systems for ventilation of dwellings","year":2007,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Energy Systems and Technologies","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":"Polytechnique Montréal","funders":"","keywords":"Streamlines, streaklines, and pathlines; Nusselt number; Dimensionless quantity; Mechanics; Rayleigh number; Tower; Richardson number; Ventilation (architecture); Reynolds number; Mathematics; Physics; Meteorology; Geometry; Convection; Engineering; Natural convection; Structural engineering; Buoyancy; Turbulence","score_opus":0.012338355924663567,"score_gpt":0.21942281889361406,"score_spread":0.2070844629689505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013697650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981948,0.0003308917,0.0050984994,0.00027381806,0.000055425524,0.000032773183,0.00038681948,0.000066260814,0.01180756],"genre_scores_gemma":[0.9983069,0.000044568675,0.0006152557,0.000010455704,0.000005582543,0.000007793181,0.00004899231,0.0000061288033,0.0009543518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985075,0.00003940547,0.000007597323,0.000025675003,0.00002500368,0.000051525305],"domain_scores_gemma":[0.99912506,0.0005582181,0.00006163935,0.000037863163,0.00010282768,0.00011442205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030441847,0.0003855279,0.0007775153,0.0005009756,0.00078686955,0.0009577214,0.00090167695,0.0018164408,0.0041151536],"category_scores_gemma":[0.0016426563,0.00034773926,0.0007137351,0.00063370436,0.00065814116,0.0007140389,0.0005111936,0.0006642045,0.00017708016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011577178,0.00008680851,0.0026978382,0.000047358924,0.000023364304,0.0001619157,0.000033232907,0.9922916,0.0013931368,0.00088489894,0.00033825342,0.0019257887],"study_design_scores_gemma":[0.00002626571,0.000055262946,0.0013755983,0.000004444784,0.000010266494,0.000015751184,0.00006023047,0.9977869,0.00030566385,0.00022710612,0.00012590647,0.000006627282],"about_ca_topic_score_codex":0.02700995,"about_ca_topic_score_gemma":0.021241002,"teacher_disagreement_score":0.02700995,"about_ca_system_score_codex":0.0010428076,"about_ca_system_score_gemma":0.00070327544,"threshold_uncertainty_score":0.053705513},"labels":[],"label_agreement":null},{"id":"W2015404423","doi":"10.1016/j.renene.2010.03.021","title":"The impact of geometrical parameters on the thermal performance of a solar receiver of dish-type concentrated solar energy system","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Western University","funders":"","keywords":"Parabolic reflector; Aperture (computer memory); Thermal; Optics; Inlet; Solar energy; Working fluid; Materials science; Mechanics; Acoustics; Physics; Meteorology; Electrical engineering; Engineering; Mechanical engineering","score_opus":0.013447693810544205,"score_gpt":0.21754349584929303,"score_spread":0.20409580203874883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015404423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954331,0.00011878726,0.0027127687,0.000043736374,0.00001582423,0.00000484109,0.0000618874,0.0001027967,0.0015063414],"genre_scores_gemma":[0.9995689,0.000019427373,0.00013616515,0.00000636474,0.0000037868117,0.0000011383263,0.000023043043,0.000014109687,0.0002271657],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961746,0.000105992236,0.000014154634,0.000070227434,0.00010076216,0.00009128114],"domain_scores_gemma":[0.9986821,0.00066958484,0.00014530543,0.00010658973,0.000331629,0.00006465857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031110723,0.0004500081,0.000567841,0.00023014657,0.0005148572,0.00060587097,0.00055889395,0.0007824401,0.0022266305],"category_scores_gemma":[0.000961879,0.00026069052,0.00047337305,0.0003053932,0.0004605475,0.0005361862,0.00030892802,0.00037721262,0.0006226176],"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":[0.004946562,0.00012766545,0.019570833,0.00032936674,0.0002254378,0.0009859602,0.00037038393,0.12959647,0.8299765,0.00047836278,0.0006859361,0.012706458],"study_design_scores_gemma":[0.00015054799,0.0040251324,0.07267705,0.000029584327,0.0005690216,0.00113634,0.00076519017,0.15122738,0.7674032,0.00036046366,0.0015252517,0.00013074261],"about_ca_topic_score_codex":0.00083160825,"about_ca_topic_score_gemma":0.0009054857,"teacher_disagreement_score":0.0022266305,"about_ca_system_score_codex":0.00042934532,"about_ca_system_score_gemma":0.00018487427,"threshold_uncertainty_score":0.0074487925},"labels":[],"label_agreement":null},{"id":"W2015643076","doi":"10.1016/j.renene.2014.11.048","title":"Modeling pressure-retarded osmotic power in commercial length membranes","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":47,"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; Hydro-Québec; Rockwell Automation (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Pressure-retarded osmosis; Osmotic power; Concentration polarization; Membrane; Osmosis; Osmotic pressure; Scale (ratio); Pressure gradient; Mechanics; Forward osmosis; Work (physics); Polarization (electrochemistry); Salinity; Chemistry; Electric potential energy; Power (physics); Chemical engineering; Process engineering; Materials science; Thermodynamics; Engineering; Mechanical engineering; Reverse osmosis; Physics; Physical chemistry","score_opus":0.00981099682323807,"score_gpt":0.21028927760299462,"score_spread":0.20047828077975655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015643076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81959397,0.0011592722,0.12988533,0.001249291,0.000108171116,0.000113428316,0.00048600812,0.00030762583,0.047096938],"genre_scores_gemma":[0.98464453,0.00038525116,0.0070518837,0.00007339984,0.000017671959,0.00006034563,0.0001088539,0.000072815164,0.0075852284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998976,0.00002034051,0.0000039712886,0.000017369282,0.000028793364,0.000031902397],"domain_scores_gemma":[0.9996284,0.00024062028,0.000033173077,0.000016174668,0.000058337886,0.000023246075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000341129,0.00042331335,0.00047211605,0.00031043732,0.0004364521,0.00084446085,0.0011023565,0.0017062601,0.002392893],"category_scores_gemma":[0.0012300524,0.00039843618,0.0005773946,0.00039014147,0.0005213694,0.0011650926,0.00043695085,0.0007576199,0.00033402565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035280587,0.000045868797,0.00031706414,0.00003802301,0.0000074311624,0.0000475503,0.000021210657,0.98824185,0.0038261563,0.005634721,0.00015588586,0.0016290135],"study_design_scores_gemma":[0.000004931488,0.0000058521723,0.000058415862,0.0000016723844,0.0000016144064,0.000002574267,0.0000049257346,0.99869615,0.00074163114,0.0003556553,0.0001242967,0.000002413432],"about_ca_topic_score_codex":0.024796337,"about_ca_topic_score_gemma":0.011867018,"teacher_disagreement_score":0.024796337,"about_ca_system_score_codex":0.0017475846,"about_ca_system_score_gemma":0.0013175249,"threshold_uncertainty_score":0.04930401},"labels":[],"label_agreement":null},{"id":"W2018051971","doi":"10.1016/j.renene.2006.03.001","title":"Heuristic and probabilistic wind power availability estimation procedures: Improved tools for technology and site selection","year":2006,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"","keywords":"Wind power; Wind speed; Turbine; Interpolation (computer graphics); Grid; Probabilistic logic; Process (computing); Site selection; Heuristic; Computer science; Meteorology; Simulation; Marine engineering; Engineering; Mathematics","score_opus":0.005080697421410374,"score_gpt":0.19785983430861548,"score_spread":0.1927791368872051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018051971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046774508,0.00005413233,0.99442965,0.000026272273,0.0000089621635,0.000025844172,0.00003735368,0.00022033742,0.0005199954],"genre_scores_gemma":[0.3020446,0.00018743568,0.69557285,0.00009398944,0.000081413804,0.0003854817,0.00034561756,0.0001845104,0.0011041533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800485,0.0010435387,0.00009404176,0.00019651512,0.0005430621,0.00011806181],"domain_scores_gemma":[0.9884029,0.008962581,0.00077891507,0.00072769227,0.0010049692,0.00012292521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034557153,0.0012242601,0.0019010295,0.0026955649,0.0007264059,0.0012811896,0.0018954832,0.0016243777,0.0039764056],"category_scores_gemma":[0.020007972,0.001104343,0.0012395516,0.0021781009,0.0008630579,0.002048619,0.0012048176,0.0014937118,0.00081310974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008018337,0.00006267179,0.00058552204,0.000051049614,0.00004618925,0.00003169135,0.000031945878,0.91080034,0.00069508335,0.010439747,0.0005802246,0.076595284],"study_design_scores_gemma":[0.000015961123,0.000018592516,0.00014674231,0.000006782436,0.000009718615,0.00001762261,0.0000041851017,0.99259686,0.0002928557,0.006726174,0.00015473748,0.000009833972],"about_ca_topic_score_codex":0.0045708953,"about_ca_topic_score_gemma":0.0057098097,"teacher_disagreement_score":0.0045708953,"about_ca_system_score_codex":0.00073639874,"about_ca_system_score_gemma":0.0016361636,"threshold_uncertainty_score":0.018275797},"labels":[],"label_agreement":null},{"id":"W2018898476","doi":"10.1016/j.renene.2012.04.034","title":"Performance assessment of a novel system using parabolic trough solar collectors for combined cooling, heating, and power production","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":239,"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; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; King Fahd University of Petroleum and Minerals","keywords":"Parabolic trough; Thermal energy storage; Organic Rankine cycle; Cogeneration; Photovoltaic thermal hybrid solar collector; Solar air conditioning; Nuclear engineering; Chiller; Absorption refrigerator; Phase-change material; Heat exchanger; Solar energy; Environmental science; Thermal; Engineering; Waste heat; Electricity generation; Electrical engineering; Mechanical engineering; Power (physics); Meteorology; Thermodynamics; Refrigeration; Physics","score_opus":0.027197002870907636,"score_gpt":0.2605717835917236,"score_spread":0.23337478072081597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018898476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740858,0.0003886178,0.022761691,0.000079259844,0.000060350696,0.00009236831,0.00021718058,0.00065831817,0.0016562905],"genre_scores_gemma":[0.9934983,0.00010919437,0.0047730724,0.000018634406,0.000016628768,0.000029622763,0.00008747036,0.000020954063,0.0014462421],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99978,0.000032374937,0.000013329036,0.00006413919,0.000075684424,0.000034500626],"domain_scores_gemma":[0.9996985,0.000055386252,0.00003375303,0.00003522838,0.00013892468,0.000038233156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029267554,0.00044797084,0.00065594603,0.00022911097,0.0006548398,0.0005614916,0.0009304234,0.00066453696,0.0021618272],"category_scores_gemma":[0.00027014618,0.00024042478,0.00042559297,0.00034615904,0.00020484667,0.0005503687,0.0002677122,0.00028882723,0.0006207376],"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":[0.0026288296,0.00026150505,0.0033753295,0.00030027344,0.00011084073,0.0001297759,0.00011050193,0.007407417,0.95869255,0.00016174455,0.00056114944,0.026260119],"study_design_scores_gemma":[0.00020052721,0.004258445,0.011062,0.000013758533,0.00018730502,0.00028580008,0.00007843433,0.06925366,0.91153574,0.00007910938,0.003012582,0.000032658052],"about_ca_topic_score_codex":0.0024576446,"about_ca_topic_score_gemma":0.0026824167,"teacher_disagreement_score":0.0024576446,"about_ca_system_score_codex":0.0005122557,"about_ca_system_score_gemma":0.00061704946,"threshold_uncertainty_score":0.00723207},"labels":[],"label_agreement":null},{"id":"W2019614186","doi":"10.1016/j.renene.2008.04.034","title":"Electricity generation from wave power in Canada","year":2008,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":175,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Payback period; Electricity; Electricity generation; Environmental science; Cost of electricity by source; Engineering; Marine engineering; Meteorology; Operations management; Power (physics); Electrical engineering; Economics; Production (economics); Geography","score_opus":0.009199072569421004,"score_gpt":0.1475963566932817,"score_spread":0.13839728412386068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019614186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93616587,0.0010182826,0.00034825588,0.0030008112,0.000042344804,0.000026808886,0.0059178555,0.000038268696,0.053441502],"genre_scores_gemma":[0.98163956,0.0007813614,0.00013767839,0.00011244058,0.000006247667,0.00000384298,0.0008572081,0.000013996493,0.016447742],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996551,0.000020110781,0.000011473649,0.000028685476,0.00015914376,0.0001255017],"domain_scores_gemma":[0.99931073,0.00006631125,0.000041513933,0.00000967692,0.0004728562,0.000098968216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022228809,0.00015532057,0.00020444315,0.0010918212,0.0022324708,0.001975951,0.0005910157,0.00036678393,0.0048615867],"category_scores_gemma":[0.0011348267,0.00017549406,0.00032126988,0.0030488332,0.00044663055,0.00048764556,0.00057645707,0.0006380262,0.00026823388],"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":[0.00079424935,0.00018888408,0.70951,0.00045786056,0.00023308747,0.0033493757,0.0072358106,0.04763012,0.0033352247,0.045289807,0.056042694,0.12593281],"study_design_scores_gemma":[0.00008248181,0.000052572927,0.9049609,0.00015050672,0.0001023735,0.00022611149,0.011374411,0.01882844,0.0013182008,0.0022299853,0.06059817,0.00007583992],"about_ca_topic_score_codex":0.9982759,"about_ca_topic_score_gemma":0.9993789,"teacher_disagreement_score":0.04488028,"about_ca_system_score_codex":0.04488028,"about_ca_system_score_gemma":0.037342817,"threshold_uncertainty_score":0.32563072},"labels":[],"label_agreement":null},{"id":"W2021871536","doi":"10.1016/j.renene.2012.10.013","title":"Integrating renewable energy using a smart distribution system: Potential of self-regulating demand response","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":36,"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":"Pacific Northwest National Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Smart grid; Wind power; Automotive engineering; Demand response; Distributed generation; Grid; Engineering; Electrical engineering; Electricity","score_opus":0.0074591040309815535,"score_gpt":0.19440882252413563,"score_spread":0.1869497184931541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021871536","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38482845,0.00073888624,0.54281175,0.0014836207,0.00044839227,0.00013293137,0.00026281783,0.0033592016,0.06593392],"genre_scores_gemma":[0.9845471,0.00013467393,0.0120255845,0.00008441587,0.000058690377,0.000014863002,0.00006125329,0.000037873917,0.0030355752],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998654,0.00004271803,0.0000075689986,0.000028320219,0.000042848475,0.000013085942],"domain_scores_gemma":[0.99969196,0.00009362726,0.000033704688,0.00006427032,0.00009450541,0.00002191671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021588191,0.00035763247,0.0002837067,0.00017532079,0.00019478712,0.00073147024,0.00051557296,0.0003650058,0.0032265717],"category_scores_gemma":[0.00059392717,0.00013309788,0.00018248524,0.0003807652,0.00019316417,0.0007578813,0.00031565232,0.0003109305,0.0005333183],"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":[0.0012962933,0.0010193828,0.008869171,0.00027002842,0.00024938607,0.0004421003,0.00016992693,0.34717512,0.14291215,0.03481606,0.0064110924,0.45636934],"study_design_scores_gemma":[0.00016387763,0.0005206183,0.0038080073,0.000033168388,0.0001621483,0.00022017892,0.00011261844,0.91357386,0.03639808,0.02659375,0.018367691,0.000046047768],"about_ca_topic_score_codex":0.0006938954,"about_ca_topic_score_gemma":0.0011603715,"teacher_disagreement_score":0.0032265717,"about_ca_system_score_codex":0.00025372542,"about_ca_system_score_gemma":0.00022358472,"threshold_uncertainty_score":0.010793984},"labels":[],"label_agreement":null},{"id":"W2023408870","doi":"10.1016/j.renene.2010.06.019","title":"A practical eco-environmental distribution network planning model including fuel cells and non-renewable distributed energy resources","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Optimal Power Flow Distribution","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 Calgary","funders":"","keywords":"Sizing; Distributed generation; Renewable energy; Heuristic; Computer science; Mathematical optimization; Distributed element model; Term (time); Network planning and design; Operations research; Energy planning; Distributed computing; Engineering; Telecommunications; Artificial intelligence","score_opus":0.00982288556185299,"score_gpt":0.2189925409264293,"score_spread":0.20916965536457632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023408870","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1526528,0.0005042996,0.72702724,0.0018198468,0.00016478077,0.00031684875,0.002279505,0.0006913146,0.11454341],"genre_scores_gemma":[0.91247153,0.00031380102,0.055105817,0.00015448914,0.00004112454,0.0002800202,0.0005700032,0.000099284065,0.030963955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998186,0.00006360478,0.0000048444313,0.00003997083,0.000044839762,0.000028148615],"domain_scores_gemma":[0.99972004,0.000145647,0.000027513672,0.000014534501,0.000064369786,0.000027822443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040853312,0.0007139964,0.0008260061,0.00044363295,0.00060150103,0.0012345426,0.0011075996,0.001750631,0.009034228],"category_scores_gemma":[0.0010792038,0.00076140056,0.0005308593,0.0010251929,0.0005155415,0.0012255452,0.0007810564,0.0009110777,0.0006225473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006736035,0.000006343714,0.0000624445,0.0000067726096,0.0000022866946,0.000027493732,0.000004599359,0.9965823,0.00005053612,0.0018913492,0.00018764328,0.0011714622],"study_design_scores_gemma":[0.000008281942,0.0000068506592,0.000038592756,0.0000017347448,0.0000028708887,0.000006536409,0.0000068171275,0.9979062,0.000037244987,0.0016184882,0.00036445796,0.0000020027512],"about_ca_topic_score_codex":0.03214737,"about_ca_topic_score_gemma":0.03735183,"teacher_disagreement_score":0.03214737,"about_ca_system_score_codex":0.001706464,"about_ca_system_score_gemma":0.0016101634,"threshold_uncertainty_score":0.0639205},"labels":[],"label_agreement":null},{"id":"W2027309736","doi":"10.1016/j.renene.2015.03.048","title":"Regarding the influence of the Van der Hoven spectrum on wind energy applications in the meteorological mesoscale and microscale","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","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":"University of British Columbia","funders":"","keywords":"Microscale chemistry; Mesoscale meteorology; Spectral density; Wind power; Kinetic energy; Turbulence; Energy (signal processing); Physics; Meteorology; Turbulence kinetic energy; Frequency domain; Computational physics; Environmental science; Statistical physics; Mathematics; Statistics; Classical mechanics; Electrical engineering; Engineering; Mathematical analysis","score_opus":0.010813745877033347,"score_gpt":0.2013110226937498,"score_spread":0.19049727681671647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027309736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9202367,0.0036546038,0.014636473,0.00397505,0.0006253927,0.00003281229,0.001036597,0.00017314024,0.055629216],"genre_scores_gemma":[0.99718624,0.0006932069,0.00068183977,0.00013734301,0.00010568263,0.0000033217857,0.00020448855,0.00005376984,0.0009341579],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996661,0.00007741184,0.00001644461,0.00007551489,0.000098695244,0.000065817105],"domain_scores_gemma":[0.9960989,0.0024555197,0.00026484847,0.00022617189,0.00077176257,0.0001828524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453237,0.00022254087,0.00026747287,0.0005329821,0.00032170358,0.0014430679,0.0003681421,0.00062471075,0.0032799386],"category_scores_gemma":[0.007379428,0.000113636655,0.00026516078,0.00061157893,0.0003186648,0.0012067563,0.0003666191,0.0006921201,0.00033784367],"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":[0.00069930736,0.0002764025,0.41255307,0.0005110658,0.0006091341,0.0020430246,0.0005928818,0.35571852,0.040739223,0.032165073,0.014297939,0.13979436],"study_design_scores_gemma":[0.000024402036,0.00011442727,0.60305446,0.00022733696,0.0002060701,0.00032410808,0.001423498,0.3490048,0.012674216,0.013640606,0.01922213,0.00008399756],"about_ca_topic_score_codex":0.010066106,"about_ca_topic_score_gemma":0.013049752,"teacher_disagreement_score":0.010066106,"about_ca_system_score_codex":0.0003216404,"about_ca_system_score_gemma":0.0003348655,"threshold_uncertainty_score":0.020015001},"labels":[],"label_agreement":null},{"id":"W2027850947","doi":"10.1016/j.renene.2012.03.014","title":"Short-term simulation of ground heat exchanger with an improved TRCM","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Polytechnique Montréal","funders":"","keywords":"Heat exchanger; Borehole; Computation; Thermal; Term (time); Thermal resistance; Mechanics; Function (biology); Heat transfer; Engineering; Mechanical engineering; Geotechnical engineering; Thermodynamics; Computer science; Physics","score_opus":0.02163461021019118,"score_gpt":0.24931921362790802,"score_spread":0.22768460341771685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027850947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722248,0.00014727928,0.013062665,0.00033159845,0.00015538461,0.000056470064,0.00073229783,0.0006201334,0.012669285],"genre_scores_gemma":[0.996097,0.000025725443,0.0020832105,0.000030301344,0.000011491949,0.000026039586,0.00019361822,0.00004399462,0.001488531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997681,0.00006000767,0.000010299621,0.00004286102,0.00003960429,0.000079233476],"domain_scores_gemma":[0.99938715,0.00026647624,0.000049982,0.00006716211,0.00012351897,0.00010562799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038758788,0.0007257004,0.0012204342,0.00044152536,0.0009845035,0.0009015125,0.0015354779,0.0024857752,0.006333782],"category_scores_gemma":[0.0010523199,0.0005665862,0.0009387074,0.00058197655,0.001106983,0.00088615896,0.00065115216,0.001229803,0.00038266892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012839079,0.00010997662,0.0016443288,0.00003127997,0.000017603661,0.00008886444,0.000023067834,0.99446625,0.0014853962,0.0003958692,0.0003048812,0.0013040906],"study_design_scores_gemma":[0.000033751694,0.000042629086,0.0007484888,0.0000024115484,0.000006574076,0.000005388012,0.000020616379,0.99844897,0.0004996052,0.00006762662,0.00011737817,0.000006482124],"about_ca_topic_score_codex":0.040935744,"about_ca_topic_score_gemma":0.020774078,"teacher_disagreement_score":0.040935744,"about_ca_system_score_codex":0.0012001855,"about_ca_system_score_gemma":0.0013186786,"threshold_uncertainty_score":0.08139497},"labels":[],"label_agreement":null},{"id":"W2034876210","doi":"10.1016/j.renene.2010.03.002","title":"Three-dimensional effects and arm effects on modeling a vertical axis tidal current turbine","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":136,"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":"Towing; Turbine; RADIUS; Mechanics; Vortex; Power (physics); Marine engineering; Engineering; Simulation; Control theory (sociology); Physics; Aerospace engineering; Computer science","score_opus":0.007627902860377473,"score_gpt":0.2133781244896684,"score_spread":0.2057502216292909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034876210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8366251,0.00031499172,0.10981044,0.00047201267,0.00013087658,0.000056411252,0.0002766987,0.00065590243,0.051657617],"genre_scores_gemma":[0.9910517,0.00009241783,0.0030836675,0.00004466793,0.000017723878,0.000020043162,0.00004301687,0.00006777709,0.0055790525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998604,0.000057588513,0.000007923312,0.000013134438,0.000031368254,0.000029641085],"domain_scores_gemma":[0.9994854,0.00030590867,0.00006283124,0.000038046463,0.000069583,0.000038222486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003357756,0.000522608,0.0005119523,0.0003140353,0.000710256,0.00102911,0.0007167274,0.0015799241,0.0037514947],"category_scores_gemma":[0.0014118005,0.0005250768,0.0007236356,0.00040836335,0.0007257655,0.00082248665,0.0007136028,0.0007171083,0.00046792493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006514573,0.000027407987,0.0009827644,0.000021689919,0.000010319109,0.000117406664,0.000043512242,0.99334735,0.0023112306,0.00095256796,0.00015163588,0.0019690094],"study_design_scores_gemma":[0.0000075131957,0.000040501225,0.00060243177,0.00000437788,0.000012033793,0.000009859779,0.00001983793,0.9980464,0.000783927,0.00021694867,0.00025008243,0.0000061033634],"about_ca_topic_score_codex":0.013398887,"about_ca_topic_score_gemma":0.010859414,"teacher_disagreement_score":0.013398887,"about_ca_system_score_codex":0.00042733722,"about_ca_system_score_gemma":0.0004273415,"threshold_uncertainty_score":0.026641786},"labels":[],"label_agreement":null},{"id":"W2036168919","doi":"10.1016/j.renene.2009.11.014","title":"Meeting residential space heating demand with wind-generated electricity","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":63,"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":"Electricity; Renewable energy; Environmental economics; Wind power; Backup; Mains electricity; Electric heating; Business; Environmental science; Natural resource economics; Electricity retailing; Heating system; Supply and demand; Electricity market; Economics; Engineering; Electrical engineering; Microeconomics; Mechanical engineering","score_opus":0.003936769542469306,"score_gpt":0.1767787315792405,"score_spread":0.1728419620367712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036168919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7288641,0.00016768674,0.23328385,0.0005933819,0.00010421473,0.00012469577,0.00043657,0.00069191935,0.035733618],"genre_scores_gemma":[0.98973185,0.00002643742,0.0072086207,0.00002593834,0.000014831095,0.000024490006,0.0001127182,0.000056116274,0.002798912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997849,0.00006889629,0.0000073501624,0.000031931824,0.000046431385,0.000060396105],"domain_scores_gemma":[0.9997844,0.000118153956,0.000016583866,0.000014534758,0.00004677888,0.000019594874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036352008,0.0006864337,0.00082959357,0.0002410337,0.00041372902,0.00086876255,0.00066719524,0.00083662226,0.0037307031],"category_scores_gemma":[0.0011509456,0.0004685424,0.00037555097,0.0005810255,0.00016693445,0.0009893045,0.0004436714,0.0005260951,0.00065275305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016397196,0.00012461476,0.0017929933,0.00007247409,0.00004382678,0.00017376713,0.000048420494,0.9635841,0.008593315,0.0025089707,0.0017399772,0.021153444],"study_design_scores_gemma":[0.000018811435,0.00007320621,0.0008228041,0.0000027331184,0.000017920374,0.00003634371,0.000069365524,0.99411315,0.0025374722,0.0016782979,0.0006231739,0.0000067373126],"about_ca_topic_score_codex":0.0029885524,"about_ca_topic_score_gemma":0.00765875,"teacher_disagreement_score":0.0037307031,"about_ca_system_score_codex":0.00039719357,"about_ca_system_score_gemma":0.0006554442,"threshold_uncertainty_score":0.012480497},"labels":[],"label_agreement":null},{"id":"W2036698779","doi":"10.1016/j.renene.2004.10.003","title":"MEP-type distribution function: a better alternative to Weibull function for wind speed distributions","year":2004,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"Weibull distribution; Wind speed; Wind power; Probability density function; Wind profile power law; Exponential function; Probabilistic logic; Log wind profile; Probability distribution; Environmental science; Exponential distribution; Meteorology; Mathematics; Statistics; Engineering; Wind gradient; Physics; Mathematical analysis","score_opus":0.012651192645006897,"score_gpt":0.22068671255413397,"score_spread":0.20803551990912708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036698779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029935788,0.00022526243,0.9945147,0.00015225892,0.0000798772,0.000013181152,0.00011643797,0.00038049574,0.0015242934],"genre_scores_gemma":[0.47160727,0.0021310274,0.49871573,0.00074948557,0.0010496924,0.00039100164,0.00145822,0.0019035339,0.021994041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875057,0.0005288082,0.000088210545,0.00019010445,0.00036496413,0.00007738056],"domain_scores_gemma":[0.99523866,0.0024993403,0.00034053533,0.00078066,0.0010315307,0.00010926638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034921267,0.0011927782,0.0013093532,0.0015751176,0.0004158405,0.0017180494,0.0016669339,0.0017513086,0.004853754],"category_scores_gemma":[0.012210961,0.00031712247,0.0014647236,0.0022143521,0.0005967672,0.003658179,0.0010181953,0.0023065468,0.0024044458],"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":[0.00043793328,0.00014103932,0.004849489,0.00045475125,0.00021477896,0.0006269191,0.00020561795,0.28564984,0.014086003,0.39367592,0.012888542,0.28676906],"study_design_scores_gemma":[0.000015943278,0.00007381215,0.0014451118,0.000040233477,0.000037193175,0.00056449824,0.000027081715,0.9301608,0.0025083185,0.054269,0.010809193,0.000048766757],"about_ca_topic_score_codex":0.00079974515,"about_ca_topic_score_gemma":0.00047861968,"teacher_disagreement_score":0.004853754,"about_ca_system_score_codex":0.0006132498,"about_ca_system_score_gemma":0.0004896662,"threshold_uncertainty_score":0.01846838},"labels":[],"label_agreement":null},{"id":"W2038542321","doi":"10.1016/j.renene.2015.03.069","title":"Offshore wind power potential of the Gulf of Thailand","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"Université de Moncton","funders":"Electricity Generating Authority of Thailand; National Research Council of Thailand; Thailand Research Fund","keywords":"Offshore wind power; Wind power; Submarine pipeline; Environmental science; Renewable energy; Meteorology; Resource (disambiguation); Electricity; Electricity generation; Site selection; Mesoscale meteorology; Fossil fuel; Wind resource assessment; Wind speed; Oceanography; Geology; Engineering; Geography; Power (physics); Computer science","score_opus":0.01038156157568974,"score_gpt":0.19837384846291725,"score_spread":0.18799228688722752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038542321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96088755,0.0004895207,0.00024334448,0.00024247228,0.000013028352,0.000007835652,0.0004920477,0.0000072249186,0.03761689],"genre_scores_gemma":[0.99584633,0.0005137291,0.00009307943,0.000009513697,0.0000053042722,0.0000031972188,0.00012817979,0.0000026346245,0.0033979374],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999471,0.000009383599,0.0000045734014,0.000006054567,0.000018079823,0.000014866753],"domain_scores_gemma":[0.9998628,0.000024792414,0.000022071807,0.000003779157,0.000057945028,0.000028652827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106268235,0.0002124299,0.00009958491,0.0005159395,0.00047746045,0.0012102298,0.00011599907,0.0001997,0.002844593],"category_scores_gemma":[0.00025889522,0.00011896889,0.00013608954,0.0008204096,0.00021286968,0.0006122765,0.0005672121,0.00024616547,0.00036523852],"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":[0.0021141418,0.00015003224,0.65293694,0.0012839775,0.00023125716,0.030517798,0.006349113,0.09384651,0.036306404,0.039068643,0.006670173,0.13052508],"study_design_scores_gemma":[0.00014907251,0.0005120981,0.83917475,0.00060110044,0.00024128235,0.0057052034,0.04022053,0.04384361,0.007448606,0.011068267,0.050913043,0.00012250929],"about_ca_topic_score_codex":0.012418813,"about_ca_topic_score_gemma":0.023369113,"teacher_disagreement_score":0.012418813,"about_ca_system_score_codex":0.00049259706,"about_ca_system_score_gemma":0.00070857257,"threshold_uncertainty_score":0.024693072},"labels":[],"label_agreement":null},{"id":"W2039334245","doi":"10.1016/j.renene.2013.09.020","title":"On the definition of the power coefficient of tidal current turbines and efficiency of tidal current turbine farms","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":39,"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":"Tidal power; Turbine; Current (fluid); Power (physics); Marine engineering; Tidal current; Maximum power principle; Capital cost; Electricity generation; Computer science; Environmental science; Electrical engineering; Engineering; Mechanical engineering; Physics; Geology","score_opus":0.011290436022878162,"score_gpt":0.20685853902357001,"score_spread":0.19556810300069186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039334245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03334712,0.012985977,0.8496165,0.0028890702,0.0010771797,0.000058921232,0.0002908076,0.00010987442,0.09962455],"genre_scores_gemma":[0.82698375,0.013968198,0.13081808,0.0012471983,0.0023955572,0.00015368294,0.00040706684,0.00041830968,0.02360813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849856,0.00046345673,0.00011928234,0.00035792193,0.0004577049,0.000103142294],"domain_scores_gemma":[0.9960936,0.0025491698,0.00024455233,0.00029741146,0.00072400155,0.00009142951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022763903,0.0008959673,0.0009427471,0.0020746496,0.00065936794,0.002501911,0.002041005,0.0013643834,0.0037135473],"category_scores_gemma":[0.009726721,0.00051299646,0.0008447184,0.0023690083,0.003909682,0.0062694955,0.0016060476,0.004237523,0.0009761122],"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":[0.000023952234,0.000026632115,0.00047934265,0.00012605489,0.00001625621,0.000121902856,0.00018650861,0.014535769,0.0030751554,0.9645023,0.002906907,0.013999177],"study_design_scores_gemma":[0.000013654218,0.00006032527,0.0024638614,0.00023195606,0.000040214734,0.0008804886,0.00018081148,0.1257161,0.0045777294,0.8256079,0.040107332,0.000119625285],"about_ca_topic_score_codex":0.0010607191,"about_ca_topic_score_gemma":0.0010368273,"teacher_disagreement_score":0.0037135473,"about_ca_system_score_codex":0.0010297024,"about_ca_system_score_gemma":0.0006537181,"threshold_uncertainty_score":0.0124230385},"labels":[],"label_agreement":null},{"id":"W2043698021","doi":"10.1016/j.renene.2012.04.015","title":"Dark fermentative hydrogen production by mixed anaerobic cultures: Effect of inoculum treatment methods on hydrogen yield","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":54,"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; Canada Research Chairs","keywords":"Acetic acid; Linoleic acid; Yield (engineering); Lactic acid; Chemistry; Food science; Alkali metal; Hydrogen production; Hydrogen; Fermentative hydrogen production; Nuclear chemistry; Bacteria; Biochemistry; Biology; Organic chemistry; Materials science; Biohydrogen; Metallurgy; Fatty acid","score_opus":0.01194662771298972,"score_gpt":0.26733030274487535,"score_spread":0.25538367503188564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043698021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99742717,0.0009042091,0.0010480935,0.00002813015,0.00003967422,0.000012813929,0.00013632482,0.000019433966,0.0003842211],"genre_scores_gemma":[0.9961851,0.0005722183,0.0021031422,0.00002523118,0.000017107688,0.00001702293,0.00020915181,0.000019870262,0.0008510934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997501,0.00005588793,0.00004315675,0.00005426394,0.000053410735,0.000043260712],"domain_scores_gemma":[0.99965584,0.00014385243,0.000041363255,0.00003355498,0.00005292449,0.00007252176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039488776,0.0005600826,0.00055827235,0.00028132187,0.00019854128,0.0005045035,0.00028722791,0.00035104965,0.00097520824],"category_scores_gemma":[0.0005481312,0.00028986167,0.00028962852,0.00030196353,0.00018631795,0.00039871372,0.00037900137,0.0005648728,0.00018647808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012054087,0.000115421484,0.0004253526,0.000043830074,0.000012056351,0.00002566396,0.000029101884,0.000084770865,0.9957579,0.000018345649,0.000022390996,0.0022597257],"study_design_scores_gemma":[0.00001438614,0.00049428944,0.0013093759,0.0000045419,0.000027723901,0.000021577418,0.00002419132,0.0003851835,0.99752825,0.0000092484015,0.00017524569,0.0000059951194],"about_ca_topic_score_codex":0.0013015183,"about_ca_topic_score_gemma":0.0017850499,"teacher_disagreement_score":0.0013015183,"about_ca_system_score_codex":0.00024086276,"about_ca_system_score_gemma":0.00029013125,"threshold_uncertainty_score":0.0032624602},"labels":[],"label_agreement":null},{"id":"W2045752785","doi":"10.1016/j.renene.2009.05.024","title":"Numerical analysis of the characteristics of vertical axis tidal current turbines","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":57,"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":"Marine Mammal Commission","keywords":"Tidal power; Current (fluid); Turbine; Tidal current; Marine energy; Marine engineering; Wind power; Torque; Environmental science; Meteorology; Geology; Engineering; Renewable energy; Mechanical engineering; Physics; Electrical engineering; Oceanography","score_opus":0.008873872337306946,"score_gpt":0.2227513228055768,"score_spread":0.21387745046826986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045752785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9373446,0.00031358458,0.0320819,0.00036166102,0.00006419686,0.00004441463,0.00018850123,0.00016954509,0.029431555],"genre_scores_gemma":[0.99675083,0.000046507743,0.0015647045,0.000013540619,0.0000066135985,0.0000070479246,0.00004202979,0.0000123909695,0.0015563167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992216,0.000017600672,0.0000039506217,0.000008349845,0.000033301196,0.000014716043],"domain_scores_gemma":[0.99913776,0.0004724829,0.00009364534,0.000043247,0.00020741405,0.000045520166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021350307,0.00020231937,0.0002990145,0.00042565382,0.00040220312,0.00060720026,0.00037526738,0.00073744124,0.0021483635],"category_scores_gemma":[0.0019159566,0.00019827038,0.00023135134,0.0005993833,0.000517323,0.00050981867,0.00025232285,0.00031816057,0.00017933943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014084094,0.00006618916,0.0052938,0.000053581123,0.000015012162,0.0002032728,0.000104415754,0.96929395,0.009499397,0.0056630876,0.0008650813,0.008801348],"study_design_scores_gemma":[0.000008038715,0.000019709914,0.0017468721,0.0000033815845,0.0000026833063,0.000024683817,0.000036130725,0.996854,0.0006147949,0.00045003276,0.00023397231,0.0000056815243],"about_ca_topic_score_codex":0.00555869,"about_ca_topic_score_gemma":0.0041552056,"teacher_disagreement_score":0.00555869,"about_ca_system_score_codex":0.00047683576,"about_ca_system_score_gemma":0.00046424134,"threshold_uncertainty_score":0.011052668},"labels":[],"label_agreement":null},{"id":"W2046680121","doi":"10.1016/j.renene.2014.06.006","title":"Characterizing the near shore wave energy resource on the west coast of Vancouver Island, Canada","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Natural Resources Canada; Pacific Institute for Climate Solutions","keywords":"Mesoscale meteorology; Wave model; Significant wave height; Shore; Meteorology; Environmental science; Wave height; Wind wave model; Climatology; Oceanography; Marine energy; Renewable energy; West coast; Forcing (mathematics); Geology; Wind wave; Geography; Engineering","score_opus":0.0067998329320048565,"score_gpt":0.14998809788775322,"score_spread":0.14318826495574835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046680121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879517,0.00010441816,0.0003172865,0.00009698301,0.000008147212,0.000027821547,0.0023207786,0.00001942322,0.009153389],"genre_scores_gemma":[0.99397635,0.00012564688,0.00043333665,0.000024513285,0.0000026280075,0.0000112422285,0.0013111056,0.000012222285,0.004102951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998325,0.000007122187,0.000005725377,0.000024057243,0.0000656944,0.00006482788],"domain_scores_gemma":[0.9995701,0.000028431881,0.000022953127,0.0000095509,0.0002977362,0.000071207156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012138877,0.00023864499,0.0002648424,0.0013646972,0.0019900363,0.0015363165,0.00055643666,0.00044914585,0.0023900091],"category_scores_gemma":[0.00057495525,0.00021955025,0.00019276381,0.0023420926,0.00031843886,0.00032920105,0.00045671035,0.0003190162,0.0003590627],"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":[0.00019669367,0.0001328721,0.9145075,0.00011199233,0.00012877879,0.0008562908,0.0014838802,0.023830645,0.008530986,0.0012820647,0.0068573207,0.042081],"study_design_scores_gemma":[0.000009664193,0.000014983763,0.97153395,0.00003660889,0.000024306024,0.00006070161,0.004131498,0.01904156,0.000566759,0.00013832517,0.0044187373,0.000022873106],"about_ca_topic_score_codex":0.98602897,"about_ca_topic_score_gemma":0.9967732,"teacher_disagreement_score":0.013971031,"about_ca_system_score_codex":0.00701909,"about_ca_system_score_gemma":0.00793302,"threshold_uncertainty_score":0.05092728},"labels":[],"label_agreement":null},{"id":"W2049950965","doi":"10.1016/j.renene.2014.02.025","title":"Energy and exergy evaluation of a multiple-PCM thermal storage unit for free cooling applications","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials Research","field":"Engineering","cited_by":108,"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; Air conditioning; Environmental science; Free cooling; Work (physics); Phase-change material; Inlet; Thermal energy storage; Nuclear engineering; Process engineering; Thermal; Air cooling; Volumetric flow rate; Exergy efficiency; Energy consumption; Materials science; Waste management; Water cooling; Thermodynamics; Engineering; Mechanical engineering; Electrical engineering","score_opus":0.04455882161093055,"score_gpt":0.278947586154089,"score_spread":0.23438876454315843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049950965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775726,0.000108261505,0.0012511396,0.000019241177,0.000011716397,0.00001852454,0.00016212363,0.00003782049,0.0006338686],"genre_scores_gemma":[0.9986965,0.000028661521,0.00046044553,0.0000028596746,0.0000020311536,0.00000900565,0.0000542309,0.000008016088,0.00073826575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986804,0.000025116438,0.0000089198875,0.000022124083,0.000052516007,0.00002316758],"domain_scores_gemma":[0.9997873,0.00008164227,0.000013504967,0.00001748673,0.00007316287,0.000026922406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024063415,0.00046586228,0.0007187373,0.0005888307,0.00063487166,0.00038258848,0.0007445602,0.0003559483,0.0047619566],"category_scores_gemma":[0.00038133716,0.00018691403,0.0004271822,0.00046998635,0.00029504177,0.00075220905,0.00029272633,0.0002801215,0.00030829752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008996435,0.00087040616,0.0098394,0.0008160494,0.00010540867,0.0005936914,0.00016554038,0.08357965,0.81725556,0.00073910895,0.0009928991,0.076045744],"study_design_scores_gemma":[0.00016448897,0.0042875158,0.018174313,0.000018952409,0.000112386646,0.00016652937,0.00021056202,0.19551167,0.7796997,0.00023820245,0.0013708677,0.000044808465],"about_ca_topic_score_codex":0.0025770748,"about_ca_topic_score_gemma":0.0037317593,"teacher_disagreement_score":0.0047619566,"about_ca_system_score_codex":0.0006101016,"about_ca_system_score_gemma":0.0004847056,"threshold_uncertainty_score":0.015930355},"labels":[],"label_agreement":null},{"id":"W2050204197","doi":"10.1016/j.renene.2014.07.012","title":"Very short term forecasting of the Global Horizontal Irradiance using a spatio-temporal autoregressive model","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":112,"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":"Nowcasting; Autoregressive model; Solar irradiance; Irradiance; Context (archaeology); Environmental science; Satellite; Meteorology; Term (time); Computer science; Data set; Autoregressive integrated moving average; Solar energy; Set (abstract data type); Time series; Remote sensing; Geography; Mathematics; Econometrics; Engineering; Artificial intelligence","score_opus":0.028346020588318713,"score_gpt":0.2388671613410514,"score_spread":0.2105211407527327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050204197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7165718,0.00089247146,0.27692723,0.0005038873,0.00026782724,0.000015940854,0.000822987,0.00045461705,0.0035433446],"genre_scores_gemma":[0.9934616,0.00019314906,0.004937722,0.000016750184,0.000031637166,0.0000047854387,0.0003300443,0.000010371146,0.0010140354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990666,0.000020333171,0.000006744803,0.000028261815,0.000023610612,0.000014383905],"domain_scores_gemma":[0.99974567,0.00011541047,0.000041597603,0.000023189215,0.00005990283,0.000014171415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032887165,0.00023670228,0.0003332578,0.00026142327,0.0001484749,0.00047025835,0.00039202365,0.00043562372,0.00061213877],"category_scores_gemma":[0.00088224857,0.00021172683,0.00036388708,0.0005590549,0.00016100358,0.0005187065,0.00018059174,0.00047378519,0.00015423361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082840306,0.00004155902,0.0068615037,0.000039231585,0.00007966872,0.00009691019,0.00002247284,0.96191823,0.004704949,0.0029717737,0.00091638474,0.0222645],"study_design_scores_gemma":[0.0000015135005,0.0000049741384,0.0016141927,0.0000012262757,0.0000052530304,0.000004691301,0.000002124729,0.9978466,0.00017902663,0.0002694103,0.00006855208,0.0000024584258],"about_ca_topic_score_codex":0.014431377,"about_ca_topic_score_gemma":0.015356896,"teacher_disagreement_score":0.014431377,"about_ca_system_score_codex":0.00031629123,"about_ca_system_score_gemma":0.0002949397,"threshold_uncertainty_score":0.028694749},"labels":[],"label_agreement":null},{"id":"W2052426996","doi":"10.1016/j.renene.2012.12.045","title":"An analysis of the transient forces acting on Savonius rotors with different aspect ratios","year":2013,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":74,"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":"Mechanics; Lift (data mining); Torque; Drag; Rotor (electric); Computational fluid dynamics; Lift-to-drag ratio; Physics; Transient (computer programming); Tip-speed ratio; Turbine; Aerodynamics; Computer science; Thermodynamics","score_opus":0.007269785419362385,"score_gpt":0.19733949815216073,"score_spread":0.19006971273279835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052426996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9342581,0.00038141737,0.050038725,0.00007097082,0.00005145782,0.000033328834,0.000057294645,0.00014673891,0.014961938],"genre_scores_gemma":[0.9971494,0.00005121418,0.0015368013,0.000005097067,0.0000048140755,0.0000062814333,0.000027002006,0.000009419329,0.0012099436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999938,0.000009740055,0.0000026640785,0.000007318656,0.000026117645,0.000016142518],"domain_scores_gemma":[0.99982697,0.000083845225,0.000022285378,0.000012238543,0.00004195831,0.000012688334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012713573,0.00032253398,0.00026698725,0.0005260996,0.00032174346,0.0002872961,0.00018362606,0.00035921438,0.0019287788],"category_scores_gemma":[0.00039315186,0.00009628201,0.0003706492,0.00023132442,0.00026547417,0.00019522148,0.00010318002,0.00013209714,0.0002090973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016551559,0.0002053701,0.0087764105,0.00034974597,0.0000917816,0.0011595894,0.00034540176,0.35540086,0.5160511,0.013009023,0.0013631103,0.101592496],"study_design_scores_gemma":[0.000028743114,0.0005768883,0.025991982,0.000022306715,0.00003921927,0.00028821468,0.0001694351,0.9260633,0.044046517,0.0010076868,0.0017421681,0.000023582164],"about_ca_topic_score_codex":0.0009363827,"about_ca_topic_score_gemma":0.0012226455,"teacher_disagreement_score":0.0019287788,"about_ca_system_score_codex":0.00021001803,"about_ca_system_score_gemma":0.00014717094,"threshold_uncertainty_score":0.0064523816},"labels":[],"label_agreement":null},{"id":"W2054114216","doi":"10.1016/j.renene.2009.06.007","title":"Optimal mixed convection for maximal energy recovery with vertical porous channel (solar wall)","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Energy Systems and Technologies","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Combined forced and natural convection; Convection; Porosity; Materials science; Porous medium; Channel (broadcasting); Environmental science; Physics; Thermodynamics; Geology; Natural convection; Computer science; Composite material; Telecommunications","score_opus":0.007331300329304445,"score_gpt":0.17767698667649473,"score_spread":0.17034568634719027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054114216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.509626,0.0019430326,0.4732029,0.000995751,0.00025583967,0.00013475523,0.00029201608,0.00032630336,0.013223361],"genre_scores_gemma":[0.98414433,0.0001372165,0.013685854,0.000045400655,0.00002668916,0.000052764924,0.000045978428,0.000023365397,0.0018383665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998276,0.00004586606,0.000008241657,0.000033828353,0.000026237956,0.000058183814],"domain_scores_gemma":[0.9994773,0.0003440826,0.00005374264,0.000022616065,0.00004765731,0.000054576103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000511369,0.00056998717,0.000923712,0.0004720816,0.00042245793,0.0009817007,0.0005961887,0.0010178123,0.0013973676],"category_scores_gemma":[0.0015653259,0.0003801347,0.0004968868,0.0002926736,0.0011775504,0.0009731803,0.0019687582,0.0007395895,0.000115793395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012102847,0.00023242428,0.0019274614,0.00043979276,0.00007879623,0.00018111237,0.0001032458,0.8557404,0.053267498,0.06454442,0.0013960054,0.020878406],"study_design_scores_gemma":[0.000053489173,0.00006502543,0.00018281095,0.0000091654865,0.000009274172,0.000013447375,0.000016195465,0.9900059,0.004484034,0.004936572,0.00021305733,0.000011016682],"about_ca_topic_score_codex":0.002203999,"about_ca_topic_score_gemma":0.0014249613,"teacher_disagreement_score":0.002203999,"about_ca_system_score_codex":0.00062173523,"about_ca_system_score_gemma":0.0007760031,"threshold_uncertainty_score":0.004674673},"labels":[],"label_agreement":null},{"id":"W2056147382","doi":"10.1016/j.renene.2014.11.088","title":"Exploring impacts of process technology development and regional factors on life cycle greenhouse gas emissions of corn stover ethanol","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","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":"University of Toronto","funders":"Government of Canada; Government of Ontario","keywords":"Corn stover; Greenhouse gas; Cellulosic ethanol; Life-cycle assessment; Corn ethanol; Biofuel; Ethanol fuel; Environmental science; Renewable energy; Stover; Biorefinery; Environmental engineering; Fossil fuel; Gasoline; Waste management; Engineering; Production (economics); Economics; Agronomy","score_opus":0.03356838196806249,"score_gpt":0.21667465228369687,"score_spread":0.18310627031563437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056147382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935,0.000035009023,0.00011832065,0.000006946123,7.485519e-7,0.0000025548584,0.00007020369,0.0000015718815,0.00041469367],"genre_scores_gemma":[0.99924767,0.0000798668,0.000119755416,0.000004057951,4.3671415e-7,0.000002605563,0.00010380477,0.0000025426507,0.00043915177],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998859,0.000025991007,0.0000048426878,0.000024211362,0.00002178743,0.00003715028],"domain_scores_gemma":[0.9998337,0.00010819503,0.000016930377,0.0000057996667,0.00002647633,0.000008836244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600032,0.00028064704,0.00017418506,0.0002875885,0.00019377828,0.00046992788,0.00024411199,0.00022194226,0.0009455267],"category_scores_gemma":[0.00032777363,0.0001293889,0.0005145746,0.00038821728,0.00015391686,0.0004478863,0.00018556515,0.00021696855,0.00010338547],"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":[0.0065727374,0.0012624842,0.289628,0.00024875798,0.0005781331,0.0008727802,0.0002909013,0.1497742,0.50591594,0.002158033,0.00031847382,0.042379577],"study_design_scores_gemma":[0.00009417888,0.0022723882,0.5409055,0.000013492426,0.00060352165,0.000105305495,0.0011023914,0.08640805,0.3651852,0.0011343146,0.0021266907,0.000048975013],"about_ca_topic_score_codex":0.028518895,"about_ca_topic_score_gemma":0.037813157,"teacher_disagreement_score":0.028518895,"about_ca_system_score_codex":0.0009896825,"about_ca_system_score_gemma":0.0004814581,"threshold_uncertainty_score":0.056705773},"labels":[],"label_agreement":null},{"id":"W2059704824","doi":"10.1016/j.renene.2015.01.001","title":"Enhancing proton conduction of sulfonated poly (phenylene ether ether sulfone) membrane by charged surface modifying macromolecules for H2/O2 fuel cells","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":59,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University Grants Commission","keywords":"Membrane; Proton exchange membrane fuel cell; Ether; Polymer chemistry; Phenylene; Materials science; Conductivity; Nafion; Chemical engineering; Chemistry; Polymer; Electrochemistry; Composite material; Organic chemistry; Physical chemistry; Electrode","score_opus":0.01669693857563717,"score_gpt":0.21063052613485103,"score_spread":0.19393358755921386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059704824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967872,0.0005993381,0.0014813981,0.00006227391,0.00002809484,0.000008236074,0.000039836337,0.00003593964,0.00095779746],"genre_scores_gemma":[0.9975581,0.00043373098,0.0008464594,0.000023578554,0.000007824602,0.000008648318,0.000028827151,0.000009264833,0.001083611],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995255,0.000006101168,0.0000030298002,0.000009231494,0.000011542726,0.000017551743],"domain_scores_gemma":[0.99995375,0.000008882094,0.000012294285,0.0000030041049,0.000010845757,0.0000111811205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009559705,0.0003159859,0.00012503407,0.000112629496,0.00013087908,0.0003027427,0.0001531864,0.00034022948,0.0007910655],"category_scores_gemma":[0.00010731262,0.00012018322,0.00018005788,0.00011059589,0.00011743467,0.00040577236,0.00018238225,0.00030913838,0.00019663059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005270162,0.000013679286,0.000055314053,0.000044073386,0.0000037009827,0.000042075935,0.000019635543,0.00010438036,0.9980241,0.00016255984,0.000044295746,0.0014335283],"study_design_scores_gemma":[0.0000044342914,0.00006270866,0.00029383771,0.000002063335,0.000005508821,0.00002009959,0.000014267308,0.0005452239,0.9982855,0.000016725426,0.0007465333,0.0000031442514],"about_ca_topic_score_codex":0.00029069025,"about_ca_topic_score_gemma":0.0004617753,"teacher_disagreement_score":0.0007910655,"about_ca_system_score_codex":0.00020193236,"about_ca_system_score_gemma":0.00014000126,"threshold_uncertainty_score":0.0026463866},"labels":[],"label_agreement":null},{"id":"W2059813733","doi":"10.1016/j.renene.2013.12.047","title":"Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel time–frequency analysis","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":140,"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 Ottawa","funders":"Fundamental Research Funds for the Central Universities; Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Ontario Centres of Excellence","keywords":"Time–frequency analysis; Fault (geology); Turbine; Drivetrain; Demodulation; Vibration; Gear train; Control theory (sociology); Condition monitoring; Engineering; Computer science; Acoustics; Automotive engineering; Geology; Torque; Physics; Mechanical engineering; Aerospace engineering; Artificial intelligence; Electrical engineering","score_opus":0.005763243566138994,"score_gpt":0.22128869913826257,"score_spread":0.21552545557212358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059813733","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36480945,0.00022696561,0.6337664,0.00008454179,0.00003051168,0.000016475442,0.00002425422,0.00028838564,0.0007530422],"genre_scores_gemma":[0.9929201,0.000028974453,0.0068473425,0.0000039077036,0.0000035735143,0.0000047918384,0.000010776619,0.0000043325263,0.00017621095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987984,0.000024507824,0.000011791639,0.000029912831,0.00003894588,0.000014985305],"domain_scores_gemma":[0.999421,0.00033297352,0.00010457092,0.000042387976,0.00008712034,0.000012002014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026425195,0.00031036243,0.0004479474,0.00030941496,0.00021230135,0.00032586147,0.0002978522,0.00042075306,0.0004698777],"category_scores_gemma":[0.00140834,0.00015727691,0.00025242224,0.00016206266,0.00028706255,0.0005205659,0.00022684365,0.00030815497,0.00007232142],"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":[0.00083634525,0.00011996446,0.006218724,0.00024241995,0.0001080138,0.0004008141,0.0002422242,0.78189045,0.049036115,0.006370597,0.0005605951,0.15397371],"study_design_scores_gemma":[0.0000037128884,0.000017548073,0.0008978831,0.0000020478312,0.000005567081,0.000016696333,0.0000064947567,0.9966534,0.0018627455,0.0004880023,0.000043128526,0.0000028548368],"about_ca_topic_score_codex":0.0023706418,"about_ca_topic_score_gemma":0.0017987414,"teacher_disagreement_score":0.0023706418,"about_ca_system_score_codex":0.0002203587,"about_ca_system_score_gemma":0.00023137823,"threshold_uncertainty_score":0.004713714},"labels":[],"label_agreement":null},{"id":"W2061079172","doi":"10.1016/j.renene.2014.11.038","title":"Integrating ocean wave energy at large-scales: A study of the US Pacific Northwest","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","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 Victoria","funders":"","keywords":"Environmental science; Wave power; Wind wave; Meteorology; Marine energy; Diversification (marketing strategy); Pacific ocean; Scale (ratio); Wind power; Electricity generation; Energy (signal processing); Climatology; Geography; Geology; Power (physics); Oceanography; Engineering; Physics; Statistics; Cartography; Mathematics","score_opus":0.006137672228461557,"score_gpt":0.17248840478059937,"score_spread":0.1663507325521378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061079172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971432,0.00004443935,0.00022546438,0.00024290488,0.0000017483072,0.000006355644,0.00013513594,0.000006639589,0.0021939783],"genre_scores_gemma":[0.998254,0.0001555808,0.0005104851,0.00005341204,0.0000023921914,0.00000745711,0.0001574407,0.000008696289,0.0008505176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999212,0.000018885215,0.0000037668124,0.0000151105205,0.000020295089,0.00002074329],"domain_scores_gemma":[0.999634,0.00012510923,0.0000667395,0.00002821937,0.00008602438,0.00005983905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030148285,0.00016786692,0.00023395217,0.00038341625,0.000884608,0.0012204668,0.00047264554,0.00053117133,0.0014641575],"category_scores_gemma":[0.0012577957,0.00024669484,0.00030339308,0.0019855308,0.0005159407,0.0013911049,0.0006685832,0.0005596493,0.0000973784],"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":[0.00022186441,0.00065089914,0.893757,0.00006638227,0.0003029798,0.0014202782,0.0017213761,0.057885956,0.0026132446,0.00636703,0.0028939568,0.032099154],"study_design_scores_gemma":[0.000036760535,0.000086817934,0.9041545,0.00002705299,0.00013537698,0.00014065276,0.011071667,0.07635869,0.00074835995,0.0032283503,0.0039775926,0.000034141613],"about_ca_topic_score_codex":0.43598872,"about_ca_topic_score_gemma":0.567217,"teacher_disagreement_score":0.43598872,"about_ca_system_score_codex":0.0016024832,"about_ca_system_score_gemma":0.0020456607,"threshold_uncertainty_score":0.866902},"labels":[],"label_agreement":null},{"id":"W2061351764","doi":"10.1016/j.renene.2008.03.013","title":"Design and performance of a transportable hemispherical solar still","year":2008,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":214,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Distilled water; Solar still; Daytime; Environmental science; Meteorology; Atmospheric sciences; Materials science; Chemistry; Physics; Chromatography; Desalination","score_opus":0.028041120169689297,"score_gpt":0.23346925934481869,"score_spread":0.2054281391751294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061351764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59055966,0.0008461554,0.36139914,0.00071970094,0.00035580026,0.0003893584,0.002068885,0.004698246,0.038962975],"genre_scores_gemma":[0.9345802,0.0002613322,0.04579229,0.00010766125,0.000028038763,0.00009587579,0.0009332877,0.00019386326,0.018007297],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997874,0.000011443278,0.000006666306,0.0000713146,0.00009676122,0.000026355949],"domain_scores_gemma":[0.99973506,0.000020910822,0.00003145313,0.000058429807,0.000120039134,0.000034137105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022783922,0.00047550516,0.00038273277,0.00023974218,0.00046272107,0.00068423693,0.00172327,0.0005783127,0.004273115],"category_scores_gemma":[0.0002571496,0.00024079067,0.0002977117,0.00026562583,0.00023745453,0.00063246797,0.00039537236,0.00031102094,0.0012401149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005895835,0.000118180804,0.0017169495,0.00022717073,0.00006345666,0.00016004645,0.00015775596,0.023001939,0.9112558,0.0030687258,0.0039788024,0.055661593],"study_design_scores_gemma":[0.00011380347,0.0015416815,0.0058010803,0.000014068187,0.00009728484,0.00023453397,0.00009211324,0.15210819,0.79160404,0.0004125836,0.047922514,0.000058144757],"about_ca_topic_score_codex":0.0038291172,"about_ca_topic_score_gemma":0.0039548813,"teacher_disagreement_score":0.004273115,"about_ca_system_score_codex":0.0011481494,"about_ca_system_score_gemma":0.00085050374,"threshold_uncertainty_score":0.014294982},"labels":[],"label_agreement":null},{"id":"W2064108294","doi":"10.1016/j.renene.2013.12.044","title":"The feasibility and potential of geothermal heat in the deep Alberta foreland basin-Canada for CO2 savings","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Northwestern University","keywords":"Geothermal gradient; Foreland basin; Geothermal energy; Geothermal heating; Structural basin; Fossil fuel; Petroleum engineering; Geology; Environmental science; Range (aeronautics); Thermal energy; Sedimentary basin; Hydrology (agriculture); Waste management; Engineering; Geomorphology; Geotechnical engineering","score_opus":0.008023521056421987,"score_gpt":0.20228346721714235,"score_spread":0.19425994616072037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064108294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497385,0.0012514011,0.001611739,0.001937419,0.000051813662,0.00004472256,0.00056581135,0.000040227107,0.04475832],"genre_scores_gemma":[0.99505913,0.00034157414,0.00072810234,0.000042076746,0.0000032355258,0.00000499171,0.00007328195,0.0000046665878,0.003742935],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997615,0.000023308045,0.00000364523,0.000027481246,0.00008019139,0.00010375044],"domain_scores_gemma":[0.99979955,0.00003269098,0.000008960182,0.0000066512603,0.00011506588,0.000037217527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028084297,0.00023870029,0.00013671424,0.00035711276,0.001967722,0.001758592,0.0005546258,0.0004047424,0.0028862993],"category_scores_gemma":[0.0005841007,0.000119538374,0.00024288338,0.00054344453,0.0009061162,0.0005919374,0.0004883231,0.00047711696,0.000116869625],"study_design_candidate":"simulation_or_modeling","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":[0.0040444764,0.000377634,0.3793678,0.00073923013,0.00037888705,0.0024526455,0.0022538507,0.14969006,0.07092876,0.08439682,0.01732527,0.28804466],"study_design_scores_gemma":[0.00038829245,0.00049197103,0.6025041,0.0003323694,0.00046120767,0.00044202697,0.024993148,0.15504019,0.07151939,0.021667603,0.12193896,0.00022083745],"about_ca_topic_score_codex":0.968506,"about_ca_topic_score_gemma":0.9905657,"teacher_disagreement_score":0.03149402,"about_ca_system_score_codex":0.017592195,"about_ca_system_score_gemma":0.021337062,"threshold_uncertainty_score":0.1276409},"labels":[],"label_agreement":null},{"id":"W2069197775","doi":"10.1016/j.renene.2010.12.011","title":"Energy and reliability benefits of wind energy conversion systems","year":2011,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Power System Reliability and Maintenance","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 Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Reliability (semiconductor); Turbine; Reliability engineering; Renewable energy; Electric potential energy; Engineering; Energy (signal processing); Power (physics); Environmental science; Meteorology; Statistics; Electrical engineering; Mathematics; Mechanical engineering; Physics","score_opus":0.00953827965995236,"score_gpt":0.16516805353783653,"score_spread":0.15562977387788418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069197775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9333178,0.0020826147,0.016910687,0.001417535,0.00019498664,0.000018839593,0.00042943336,0.0001792827,0.04544876],"genre_scores_gemma":[0.99818593,0.00020911988,0.0004845135,0.000019114146,0.000032873002,0.0000018492501,0.00004805846,0.000010564294,0.0010079684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998702,0.000038741204,0.0000060405255,0.000012254536,0.00004831294,0.000024419005],"domain_scores_gemma":[0.9991991,0.0003980327,0.00007693639,0.00008528412,0.00020447906,0.000036105022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002968079,0.00028280792,0.00021755064,0.0003957483,0.00025664893,0.0003886394,0.0002512982,0.0003609966,0.0047249664],"category_scores_gemma":[0.001847797,0.00012760675,0.00020168627,0.00036943253,0.00025893474,0.00078608945,0.00026843883,0.00033517592,0.00032448783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035152147,0.0005361319,0.03772335,0.00055698707,0.00032139567,0.001887467,0.00023782703,0.46176344,0.06459459,0.07951314,0.0060553686,0.34329507],"study_design_scores_gemma":[0.00047409246,0.0026494411,0.2226509,0.00026456057,0.00091683905,0.0031283358,0.00093861803,0.49917784,0.038069468,0.20839913,0.023195062,0.00013580553],"about_ca_topic_score_codex":0.0008414949,"about_ca_topic_score_gemma":0.0014875153,"teacher_disagreement_score":0.0047249664,"about_ca_system_score_codex":0.00021797711,"about_ca_system_score_gemma":0.00015390453,"threshold_uncertainty_score":0.015806615},"labels":[],"label_agreement":null},{"id":"W2070154285","doi":"10.1016/j.renene.2012.10.027","title":"Modeling phase change materials behavior in building applications: Comments on material characterization and model validation","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials 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":"École de Technologie Supérieure","funders":"European Commission","keywords":"Context (archaeology); Computer science; Phase (matter); Point (geometry); Phase change; Confidence interval; Characterization (materials science); Model building; Operations research; Engineering; Statistics; Mathematics; Materials science; Physics; Engineering physics; Nanotechnology","score_opus":0.0770347453111707,"score_gpt":0.32300467725324117,"score_spread":0.24596993194207045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070154285","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":[0.030561129,0.006855599,0.24492578,0.63861436,0.038024254,0.00057109207,0.0034193024,0.003271408,0.033757124],"genre_scores_gemma":[0.39018556,0.008485186,0.20639007,0.32165897,0.016892279,0.0017879052,0.0026500951,0.0029950403,0.04895493],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9922069,0.0020241335,0.0004773391,0.0005800917,0.0043554795,0.00035613505],"domain_scores_gemma":[0.9240684,0.04186049,0.0019077103,0.0061195246,0.02536293,0.00068095524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012495499,0.0014260284,0.001294561,0.0009048454,0.002084992,0.0015739737,0.0061952616,0.007574097,0.0060905553],"category_scores_gemma":[0.062256545,0.0006804934,0.003184738,0.0006581753,0.002662723,0.004998849,0.0015881706,0.007884432,0.0035079096],"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":[0.0009370739,0.0006243627,0.005356374,0.0029589299,0.00036755638,0.0012187209,0.0012211052,0.27107683,0.03309272,0.096167594,0.5190812,0.06789756],"study_design_scores_gemma":[0.00037935443,0.0005470884,0.005254125,0.0018267471,0.00039382005,0.0006773403,0.00083227124,0.40277904,0.06389198,0.14131446,0.38147655,0.00062722794],"about_ca_topic_score_codex":0.022402542,"about_ca_topic_score_gemma":0.013999565,"teacher_disagreement_score":0.022402542,"about_ca_system_score_codex":0.0026368494,"about_ca_system_score_gemma":0.004029055,"threshold_uncertainty_score":0.06608331},"labels":[],"label_agreement":null},{"id":"W2071478111","doi":"10.1016/j.renene.2012.05.006","title":"A method for optimizing the location of wind farms","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":41,"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":"Smoothing; Electricity; Wind power; Maxima and minima; Resource (disambiguation); Sensitivity (control systems); Population; Computer science; Wind speed; Mathematical optimization; Environmental science; Engineering; Meteorology; Geography; Mathematics; Electrical engineering","score_opus":0.017887094803142545,"score_gpt":0.25671076110868646,"score_spread":0.2388236663055439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071478111","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":[0.002180268,0.00007850312,0.9964952,0.000028249644,0.000030390393,0.000019647372,0.000023560282,0.00016899315,0.000975244],"genre_scores_gemma":[0.12526189,0.00020987284,0.86993337,0.000044058917,0.000077925964,0.000149015,0.000120534554,0.00015678431,0.004046667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997762,0.000060488383,0.000011988854,0.000047229678,0.00008631102,0.000017723598],"domain_scores_gemma":[0.9996245,0.00018621696,0.000035314737,0.000032943808,0.00010732373,0.000013727078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005134759,0.0010429824,0.00095260236,0.00068733055,0.00048162884,0.0006725797,0.00091943715,0.0009846681,0.0031046798],"category_scores_gemma":[0.0017358854,0.0006266497,0.00075331656,0.00076050754,0.00034420498,0.0006548308,0.0005008514,0.00069039676,0.00069781765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008800781,0.00005301082,0.0004444714,0.00012386577,0.00006466949,0.00006798913,0.000060933617,0.76721245,0.009850853,0.0071252002,0.0023123967,0.2125962],"study_design_scores_gemma":[0.000022127786,0.000026631198,0.000119890756,0.000008475925,0.000013618837,0.000028567427,0.000008669639,0.9946995,0.0013313994,0.002170785,0.0015621105,0.000008192944],"about_ca_topic_score_codex":0.005943182,"about_ca_topic_score_gemma":0.009215603,"teacher_disagreement_score":0.005943182,"about_ca_system_score_codex":0.00046647395,"about_ca_system_score_gemma":0.00085112953,"threshold_uncertainty_score":0.011817157},"labels":[],"label_agreement":null},{"id":"W2076143894","doi":"10.1016/j.renene.2009.01.005","title":"Electric power generation by ‘Surfing’ water waves","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Harvesting in Wireless Networks","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":"Western University","funders":"","keywords":"Power (physics); Electric power; Wave power; Current (fluid); Electric power system; Electricity generation; Key (lock); Electrical engineering; Computer science; Engineering; Physics","score_opus":0.005136691506902808,"score_gpt":0.17411575577348207,"score_spread":0.16897906426657927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076143894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5683165,0.0020199271,0.31432602,0.0019969628,0.0007795441,0.00004869981,0.00020581536,0.00041220957,0.111894354],"genre_scores_gemma":[0.98219013,0.0005479877,0.0034627253,0.00010249915,0.00007194083,0.0000073113015,0.00004808572,0.00002242605,0.013546848],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99996173,0.000006001285,0.0000011560937,0.000009849727,0.000011596985,0.000009715145],"domain_scores_gemma":[0.9999472,0.00002205063,0.000006024824,0.000007422918,0.000012179559,0.0000051442407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006401579,0.00017699743,0.0001616862,0.00015753988,0.0001871621,0.00039508505,0.00023527263,0.0004098422,0.0036927583],"category_scores_gemma":[0.00033067595,0.00016120358,0.0001624733,0.00037893778,0.00054872397,0.0009973733,0.00046570066,0.00036533133,0.00050226157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004653262,0.00009219225,0.005948174,0.00036374142,0.000116580384,0.0018900364,0.0006071953,0.11750429,0.34251246,0.27575085,0.011363159,0.24338602],"study_design_scores_gemma":[0.0001181299,0.0002934495,0.008527864,0.000056175228,0.000077239536,0.0010280237,0.000975178,0.5002279,0.14237277,0.28963023,0.05658909,0.00010387662],"about_ca_topic_score_codex":0.00030655885,"about_ca_topic_score_gemma":0.00035945143,"teacher_disagreement_score":0.0036927583,"about_ca_system_score_codex":0.00012393536,"about_ca_system_score_gemma":0.000061056286,"threshold_uncertainty_score":0.01235348},"labels":[],"label_agreement":null},{"id":"W2076573698","doi":"10.1016/j.renene.2004.09.006","title":"Wind energy resource map of Labrador","year":2004,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Resource (disambiguation); Wind power; Meteorology; Environmental science; Geography; Cartography; Geology; Computer science; Engineering; Electrical engineering","score_opus":0.012202642863171126,"score_gpt":0.17708005888405512,"score_spread":0.164877416020884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076573698","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":[0.22961958,0.0022415386,0.0054597305,0.0007463644,0.0001674357,0.00023027638,0.39992884,0.0032307662,0.35837552],"genre_scores_gemma":[0.59711295,0.0033145994,0.016856948,0.00023539596,0.000071688395,0.00024523688,0.25174692,0.0005102224,0.12990607],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999918,0.000010818336,0.000005647211,0.000016934693,0.000029257712,0.000019488016],"domain_scores_gemma":[0.9998852,0.000009193832,0.0000147821265,0.000010412773,0.00006660295,0.000013770549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008116461,0.00024391632,0.00021473598,0.0027490414,0.00039065134,0.0005914211,0.00033765446,0.00016194077,0.011525123],"category_scores_gemma":[0.00023201425,0.00013010425,0.00013210923,0.0034918182,0.00009699712,0.00033092822,0.00026732983,0.0002398718,0.0044303713],"study_design_candidate":"observational","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":[0.00090164493,0.00021137533,0.0832736,0.0010533839,0.00018225986,0.00075433846,0.0015655364,0.02260454,0.0075689564,0.008489721,0.3984684,0.4749263],"study_design_scores_gemma":[0.00005576753,0.000059041664,0.23617767,0.00025616342,0.000051025258,0.00022678508,0.0010894454,0.0036694924,0.002003106,0.0006060986,0.75576985,0.0000354807],"about_ca_topic_score_codex":0.22385877,"about_ca_topic_score_gemma":0.32860997,"teacher_disagreement_score":0.7761412,"about_ca_system_score_codex":0.0006002663,"about_ca_system_score_gemma":0.0014025057,"threshold_uncertainty_score":0.4451115},"labels":[],"label_agreement":null},{"id":"W2077451186","doi":"10.1016/j.renene.2013.11.013","title":"An inexact optimization model for energy-environment systems management in the mixed fuzzy, dual-interval and stochastic environment","year":2013,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Water resources management and optimization","field":"Engineering","cited_by":16,"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 Regina","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Dual (grammatical number); Interval (graph theory); Fuzzy logic; Computer science; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.008522643886194258,"score_gpt":0.16871848643642565,"score_spread":0.1601958425502314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077451186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029338209,0.00037720136,0.9616174,0.0006966689,0.00008503676,0.000037306523,0.0001544146,0.000095155854,0.0075985827],"genre_scores_gemma":[0.9311388,0.00032460963,0.059338003,0.00013958917,0.00006369027,0.00015088468,0.00013900227,0.00004245625,0.0086629465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918145,0.00033509854,0.000035426197,0.00014904123,0.00022130964,0.00007766359],"domain_scores_gemma":[0.9987748,0.0007402258,0.00018303772,0.000046736503,0.00016737498,0.000087832006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001868109,0.000936417,0.0016960987,0.0006055546,0.00054737023,0.002187754,0.0014959216,0.0022116874,0.0024445504],"category_scores_gemma":[0.0036003976,0.00073459075,0.00075940747,0.0007181044,0.0015082253,0.0017826374,0.0016841671,0.0018495101,0.00020839869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024449533,0.000016209655,0.00011913928,0.000023221695,0.000015955942,0.000031807594,0.000018833249,0.97962636,0.00015634568,0.018160537,0.00021135501,0.0015958038],"study_design_scores_gemma":[0.0000031805273,0.0000074271834,0.000028368935,0.0000018308842,0.0000031125742,0.0000031232964,0.000003192945,0.9976539,0.000025809304,0.0021664333,0.000101130805,0.0000024121252],"about_ca_topic_score_codex":0.00818956,"about_ca_topic_score_gemma":0.00676125,"teacher_disagreement_score":0.00818956,"about_ca_system_score_codex":0.0014367452,"about_ca_system_score_gemma":0.0015892038,"threshold_uncertainty_score":0.01628381},"labels":[],"label_agreement":null},{"id":"W2078452670","doi":"10.1016/j.renene.2005.09.018","title":"Counter-rotating turbines for solar chimney power plants","year":2005,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Energy Systems and Technologies","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":"Polytechnique Montréal","funders":"","keywords":"Solar chimney; Turbine; Marine engineering; Chimney (locomotive); Engineering; Torque; Power (physics); Solar energy; Mechanical engineering; Automotive engineering; Environmental science; Inlet; Electrical engineering; Physics","score_opus":0.007884903879685445,"score_gpt":0.1973575261868772,"score_spread":0.18947262230719178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078452670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6129516,0.008787756,0.24559912,0.0029584947,0.0040743113,0.0007566775,0.0013165039,0.0031826461,0.12037297],"genre_scores_gemma":[0.9550847,0.00073864084,0.028280536,0.00015171593,0.00010051288,0.000053688265,0.00036549335,0.000090013105,0.0151347285],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998443,0.00002913019,0.0000075039243,0.000026802305,0.000072933384,0.000019330913],"domain_scores_gemma":[0.99972266,0.000059269678,0.00002225349,0.00004307206,0.00012169794,0.000031009797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030157514,0.0003545575,0.00037818588,0.00031965063,0.00097131653,0.0006695298,0.0005433389,0.00052899774,0.015574807],"category_scores_gemma":[0.0005749648,0.00015376518,0.00024031018,0.0003745126,0.00022685078,0.0007735485,0.00027401384,0.0005338758,0.002073267],"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":[0.0022763095,0.00034655954,0.011966041,0.0010785563,0.0000727377,0.0013196217,0.00018889805,0.032227572,0.3274067,0.037076607,0.039395798,0.5466445],"study_design_scores_gemma":[0.00047147722,0.0030154933,0.039733455,0.00028849585,0.0002473958,0.0026758604,0.0004137588,0.2356684,0.41892827,0.01343578,0.28495085,0.00017074388],"about_ca_topic_score_codex":0.0013049932,"about_ca_topic_score_gemma":0.0057413527,"teacher_disagreement_score":0.015574807,"about_ca_system_score_codex":0.00045114092,"about_ca_system_score_gemma":0.00080259045,"threshold_uncertainty_score":0.052102923},"labels":[],"label_agreement":null},{"id":"W2079486069","doi":"10.1016/j.renene.2012.02.009","title":"Social license and consultation criteria for community wind projects","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Renewable energy; License; Wind power; Social acceptance; Business; Scale (ratio); Environmental economics; Environmental planning; Electricity; Nova scotia; Environmental resource management; Political science; Engineering; Environmental science; Economics; Geography; Psychology","score_opus":0.06282785001557216,"score_gpt":0.35051130913785233,"score_spread":0.28768345912228016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079486069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7888688,0.00044444948,0.014713929,0.0041334587,0.0001788016,0.0014241263,0.0010778715,0.00013359998,0.18902493],"genre_scores_gemma":[0.9950411,0.000020252879,0.0018899267,0.00010344242,0.000029718403,0.00034706548,0.00013511084,0.000016741777,0.0024166447],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.95035017,0.024740146,0.004000165,0.001085266,0.012331893,0.0074922885],"domain_scores_gemma":[0.69167423,0.23982418,0.015002577,0.0057312874,0.029620463,0.018147243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0364307,0.00046170357,0.0009557333,0.007839482,0.004807733,0.005473159,0.0025035609,0.0030534777,0.02375661],"category_scores_gemma":[0.22418334,0.0003126611,0.0014925346,0.003560106,0.00372327,0.0034699915,0.006406865,0.0022239634,0.001191881],"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":[0.004626113,0.002466511,0.47830987,0.001596755,0.00045935015,0.004528322,0.03480264,0.020096945,0.0042432067,0.2878103,0.029765842,0.13129424],"study_design_scores_gemma":[0.0009933256,0.0018907278,0.58803374,0.0014260486,0.00042511304,0.0023021074,0.08707709,0.073054604,0.004308204,0.19470471,0.045224417,0.00055994856],"about_ca_topic_score_codex":0.016856968,"about_ca_topic_score_gemma":0.03482081,"teacher_disagreement_score":0.0364307,"about_ca_system_score_codex":0.0044080536,"about_ca_system_score_gemma":0.01155468,"threshold_uncertainty_score":0.19266629},"labels":[],"label_agreement":null},{"id":"W2080011247","doi":"10.1016/j.renene.2011.10.019","title":"Biogas prediction and design of a food waste to energy system for the urban environment","year":2011,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":295,"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":"Biogas; Anaerobic digestion; Garbage; Food waste; Waste management; Electricity; Bioenergy; Biodegradable waste; Environmental science; Digestion (alchemy); Municipal solid waste; Process (computing); Engineering; Process engineering; Biofuel; Computer science; Chemistry; Methane","score_opus":0.01779003015749896,"score_gpt":0.15620476492176788,"score_spread":0.1384147347642689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080011247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8003891,0.00014547023,0.1931657,0.00026619754,0.00003473349,0.00014276356,0.00019279747,0.00063447596,0.005028708],"genre_scores_gemma":[0.9874702,0.00004248109,0.010033821,0.00002009516,0.0000044825792,0.0000658024,0.00007305784,0.000021807247,0.002268288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990976,0.000018620463,0.000004625656,0.000025047302,0.000019912817,0.000021958773],"domain_scores_gemma":[0.99990535,0.0000405714,0.000010343561,0.0000043307127,0.000027085158,0.0000122918145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028278877,0.0005748653,0.0006199099,0.00036262083,0.0010751125,0.00082723727,0.0007334432,0.00073972164,0.0019412087],"category_scores_gemma":[0.00029355974,0.000544981,0.000452068,0.00029632583,0.00030180466,0.00051512965,0.0004078827,0.00033927333,0.0002837405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024420925,0.00017781807,0.0020858753,0.000041226667,0.000026168153,0.00007525228,0.00004699974,0.9635091,0.01823781,0.00051456876,0.00026245095,0.014778644],"study_design_scores_gemma":[0.00002197696,0.00009046485,0.0005424278,0.0000020653924,0.000014390484,0.000006128982,0.000023096369,0.9923349,0.00658411,0.00018414357,0.0001902168,0.000006106461],"about_ca_topic_score_codex":0.012987368,"about_ca_topic_score_gemma":0.01478447,"teacher_disagreement_score":0.012987368,"about_ca_system_score_codex":0.0008116114,"about_ca_system_score_gemma":0.0011287341,"threshold_uncertainty_score":0.025823534},"labels":[],"label_agreement":null},{"id":"W2084986489","doi":"10.1016/j.renene.2012.03.009","title":"A macroscopic PEM fuel cell model including water phenomena for vehicle simulation","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fuel Cells and Related Materials","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":"Centre de Recherche Industrielle du Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Proton exchange membrane fuel cell; Range (aeronautics); Electric vehicle; Fuel cells; Automotive engineering; Representation (politics); Computer science; Nuclear engineering; Simulation; Engineering; Aerospace engineering; Physics; Chemical engineering; Thermodynamics","score_opus":0.01909206340528999,"score_gpt":0.22811680588172462,"score_spread":0.20902474247643463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084986489","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23488835,0.0009445359,0.6585255,0.001805006,0.00041588125,0.0002649336,0.0025104769,0.0012127307,0.099432506],"genre_scores_gemma":[0.93260866,0.00067441806,0.045042664,0.00025465857,0.00010350351,0.00034383973,0.00076546014,0.00024970682,0.019957026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999182,0.00001917014,0.000003998169,0.000017488052,0.000027277201,0.000013818496],"domain_scores_gemma":[0.99983835,0.00005295914,0.000015195683,0.000026892474,0.000043619835,0.00002295112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014906132,0.00047797232,0.0008129931,0.00032191403,0.0006608193,0.0007203274,0.001518099,0.0016985008,0.0050311345],"category_scores_gemma":[0.00072111085,0.0005273771,0.0007044338,0.000488826,0.00054209353,0.0011306821,0.0008217527,0.00098892,0.0006519992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010122066,0.00002211535,0.00017014767,0.000015540443,0.000007574833,0.00004878119,0.000011837585,0.99077004,0.0011176897,0.0062719616,0.00030547997,0.0012487728],"study_design_scores_gemma":[0.0000065060144,0.00000611626,0.00006243383,0.0000015536303,0.0000029880196,0.0000063786188,0.000004625138,0.9983114,0.00019475074,0.0009116035,0.0004883626,0.0000033791405],"about_ca_topic_score_codex":0.015204198,"about_ca_topic_score_gemma":0.009121538,"teacher_disagreement_score":0.015204198,"about_ca_system_score_codex":0.00080005307,"about_ca_system_score_gemma":0.0008757714,"threshold_uncertainty_score":0.030231357},"labels":[],"label_agreement":null},{"id":"W2085366290","doi":"10.1016/j.renene.2014.06.020","title":"Wave energy resources near Hot Springs Cove, Canada","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Natural Resources Canada; National Oceanic and Atmospheric Administration","keywords":"Cove; Environmental science; Shore; Renewable energy; Sea state; Wave height; Latitude; Meteorology; Electricity generation; Geology; Geography; Oceanography; Engineering; Geodesy; Physics; Geomorphology","score_opus":0.0046793934754042685,"score_gpt":0.141617489923482,"score_spread":0.13693809644807772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085366290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61941844,0.0023888836,0.0018082593,0.00570389,0.0002774251,0.0003091591,0.013857288,0.00040401047,0.3558327],"genre_scores_gemma":[0.6567711,0.0018169838,0.0027145082,0.0005617253,0.000044133525,0.00008063281,0.003331987,0.00011159454,0.3345673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996283,0.000012788407,0.000006698854,0.000031329375,0.00020436937,0.00011657094],"domain_scores_gemma":[0.99927706,0.000051429535,0.000032728844,0.000017077198,0.0004649341,0.00015671628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019150908,0.0002455017,0.00025333214,0.0012853361,0.008178494,0.0026543126,0.0006898883,0.00045880617,0.018124806],"category_scores_gemma":[0.0005881122,0.0003034122,0.00021213743,0.0021768555,0.00064692204,0.0005601008,0.00095202436,0.0005564441,0.0014896387],"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":[0.0008039116,0.00040394315,0.3501745,0.0010889359,0.00020276486,0.005098719,0.00946921,0.009311478,0.012768168,0.028114647,0.2703338,0.31223],"study_design_scores_gemma":[0.0000748281,0.00007932086,0.61127007,0.00038594173,0.000049437607,0.0006510675,0.031694237,0.0051120985,0.002810721,0.0015964586,0.34617522,0.00010048061],"about_ca_topic_score_codex":0.98981863,"about_ca_topic_score_gemma":0.99856585,"teacher_disagreement_score":0.018124806,"about_ca_system_score_codex":0.017813198,"about_ca_system_score_gemma":0.056499857,"threshold_uncertainty_score":0.12924439},"labels":[],"label_agreement":null},{"id":"W2085814330","doi":"10.1016/j.renene.2014.03.063","title":"Implications of integrating electricity supply dynamics into life cycle assessment: A case study of renewable distributed generation","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"HEC Montréal; Polytechnique Montréal; Université de Sherbrooke","funders":"","keywords":"Life-cycle assessment; Electricity; Renewable energy; Electricity generation; Environmental economics; Mains electricity; Photovoltaic system; Environmental impact assessment; Environmental science; Production (economics); Computer science; Engineering; Economics; Power (physics); Microeconomics; Electrical engineering","score_opus":0.007708043049674333,"score_gpt":0.2539849442988336,"score_spread":0.24627690124915927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085814330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9365802,0.00031503898,0.029549103,0.0049848454,0.00008000869,0.00028742116,0.00042056324,0.00014770278,0.02763514],"genre_scores_gemma":[0.9868658,0.00014417896,0.011815933,0.0000852336,0.000009578689,0.000026902557,0.00006604892,0.000024327137,0.0009619913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977824,0.0016451267,0.00006684549,0.00008516101,0.00029144247,0.0001291098],"domain_scores_gemma":[0.99015886,0.007832114,0.00033680693,0.00040754187,0.0009420713,0.00032269052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045385784,0.00060094404,0.0004645964,0.0008454904,0.0017911224,0.003975733,0.0015503819,0.0032226602,0.0025336456],"category_scores_gemma":[0.01290687,0.00045514212,0.0005976696,0.0017165828,0.0011540387,0.0032421737,0.0014422986,0.0020181302,0.00021766477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009286063,0.0017864413,0.07494593,0.0003875519,0.00024731673,0.0073892507,0.004506273,0.7668987,0.006896649,0.03923325,0.0034415943,0.09333841],"study_design_scores_gemma":[0.00022382067,0.0005052976,0.016174808,0.00021090069,0.00017353479,0.0007057302,0.014166639,0.90757984,0.005264484,0.041986592,0.012854993,0.00015338422],"about_ca_topic_score_codex":0.050829865,"about_ca_topic_score_gemma":0.0886471,"teacher_disagreement_score":0.050829865,"about_ca_system_score_codex":0.0034227953,"about_ca_system_score_gemma":0.0032316456,"threshold_uncertainty_score":0.10106796},"labels":[],"label_agreement":null},{"id":"W2087758135","doi":"10.1016/j.renene.2004.11.006","title":"An integrated system framework for fuel cell-based distributed green energy applications","year":2004,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","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":"BC Innovation Council; National Research Council Canada","funders":"","keywords":"Renewable energy; Distributed generation; Computer science; Hydrogen fuel; Micro hydro; Process engineering; Engineering; Fuel cells; Electrical engineering","score_opus":0.006272522098280755,"score_gpt":0.21765235964392965,"score_spread":0.2113798375456489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087758135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071238573,0.00026045638,0.96779007,0.00018657911,0.00009454449,0.00023686296,0.00018525837,0.019159365,0.0049630054],"genre_scores_gemma":[0.25797516,0.0007670805,0.7216506,0.0003352191,0.00009842593,0.0008443854,0.002061319,0.00295513,0.013312648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920255,0.00014477236,0.00007026581,0.00012189952,0.00032939215,0.00013120333],"domain_scores_gemma":[0.9995784,0.00008906904,0.000025392399,0.00010042879,0.00013025064,0.000076517405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019020566,0.0010757328,0.0011141022,0.00083070376,0.0008482153,0.0027087787,0.002731085,0.0014359888,0.004883927],"category_scores_gemma":[0.0015037998,0.00071447593,0.0012954379,0.0005886711,0.0007865731,0.0022341786,0.0019601479,0.0019498197,0.0015816002],"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":[0.0008425933,0.0007517911,0.0026458858,0.0008401653,0.0005183009,0.0012013335,0.0011572177,0.27614984,0.06668324,0.31458423,0.038058393,0.29656702],"study_design_scores_gemma":[0.00018037588,0.00019051488,0.00054036774,0.00011085865,0.00023648718,0.00030130267,0.00008325567,0.8372458,0.022624798,0.0364143,0.10198129,0.000090668844],"about_ca_topic_score_codex":0.009013108,"about_ca_topic_score_gemma":0.009848763,"teacher_disagreement_score":0.009013108,"about_ca_system_score_codex":0.0012697527,"about_ca_system_score_gemma":0.0025379863,"threshold_uncertainty_score":0.017921329},"labels":[],"label_agreement":null},{"id":"W2089648195","doi":"10.1016/j.renene.2012.06.049","title":"Optimization of selected salts concentration for improved biohydrogen production from biodiesel-based glycerol using Enterobacter aerogenes","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","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":"McGill University","funders":"Thailand Institute of Scientific and Technological Research","keywords":"Biohydrogen; Enterobacter aerogenes; Glycerol; Biodiesel; Dark fermentation; Fermentation; Chemistry; Yield (engineering); Biodiesel production; Food science; Nuclear chemistry; Hydrogen production; Biochemistry; Catalysis; Materials science","score_opus":0.009788339779101629,"score_gpt":0.21558736895146008,"score_spread":0.20579902917235846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089648195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589515,0.0006389575,0.0024113823,0.00011893073,0.000026467778,0.000045880308,0.00023278379,0.0000607353,0.0005696783],"genre_scores_gemma":[0.9946278,0.0005246668,0.0038961454,0.000022815406,0.0000048583565,0.000032102424,0.00033512068,0.000029536031,0.00052708754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942774,0.00010977003,0.00012595668,0.00009391349,0.0001655243,0.00007709842],"domain_scores_gemma":[0.9997267,0.00005992387,0.00006847483,0.000022293856,0.00008176113,0.00004073659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004506398,0.00079716323,0.00061108253,0.00049441727,0.00033822458,0.001177681,0.0005967933,0.00047021845,0.00058868673],"category_scores_gemma":[0.00072280475,0.00040494368,0.00040911345,0.0006795731,0.00027406716,0.00054981525,0.00041605937,0.00041289668,0.0003331317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042190135,0.00017182984,0.00043498434,0.00006883043,0.00001662502,0.000042661883,0.000020819023,0.00087264815,0.99512684,0.000043806056,0.00003734691,0.0027417955],"study_design_scores_gemma":[0.000014527038,0.00012413098,0.00038087874,0.000004507177,0.000019239988,0.000013604929,0.000018973138,0.0007074231,0.9984275,0.000007763041,0.00027464988,0.000006783389],"about_ca_topic_score_codex":0.002834036,"about_ca_topic_score_gemma":0.004312376,"teacher_disagreement_score":0.002834036,"about_ca_system_score_codex":0.0007518629,"about_ca_system_score_gemma":0.0008407675,"threshold_uncertainty_score":0.005635023},"labels":[],"label_agreement":null},{"id":"W2089908746","doi":"10.1016/j.renene.2009.09.015","title":"The importance of axial effects for borehole design of geothermal heat-pump systems","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":108,"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; Golder Associates (Canada)","funders":"","keywords":"Borehole; Heat pump; Geothermal gradient; Thermal conduction; Geothermal energy; Mechanics; Geology; Environmental science; Geotechnical engineering; Petroleum engineering; Engineering; Thermodynamics; Mechanical engineering; Heat exchanger; Physics; Geophysics","score_opus":0.011990619936876137,"score_gpt":0.22501379180169295,"score_spread":0.2130231718648168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089908746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25009343,0.00048843824,0.7364884,0.00028846425,0.00007011974,0.000076677,0.00008825099,0.0005660231,0.01184017],"genre_scores_gemma":[0.97780365,0.00010912691,0.021390492,0.000019163632,0.000013340164,0.00001440366,0.000014090302,0.000035957386,0.00059966627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967456,0.00014082738,0.00002508142,0.0000290835,0.00009495773,0.00003548399],"domain_scores_gemma":[0.99864894,0.0006035778,0.0002838484,0.000081653125,0.00034181873,0.00004027171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063661457,0.0005621647,0.00034231824,0.00023675441,0.0005542202,0.0008319716,0.0005114119,0.00043103308,0.0016996315],"category_scores_gemma":[0.0027189688,0.0003445208,0.00017709097,0.00018857275,0.00035155154,0.0010560789,0.0005010978,0.00038968615,0.0002405894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012104462,0.00022237658,0.012628484,0.00044186795,0.000037101767,0.00019341815,0.0002250981,0.65306693,0.19172911,0.012429024,0.00092799467,0.12688817],"study_design_scores_gemma":[0.00008098804,0.0012716703,0.008161016,0.000037740814,0.00010749614,0.00023923186,0.00015439342,0.87273496,0.110010125,0.0033942903,0.003748815,0.00005922805],"about_ca_topic_score_codex":0.0011349779,"about_ca_topic_score_gemma":0.0033386804,"teacher_disagreement_score":0.0016996315,"about_ca_system_score_codex":0.00032577047,"about_ca_system_score_gemma":0.00062290725,"threshold_uncertainty_score":0.0056858063},"labels":[],"label_agreement":null},{"id":"W2091320199","doi":"10.1016/j.renene.2014.11.080","title":"Thermal resistance and capacity model for standing column wells operating under a bleed control","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":44,"is_retracted":false,"has_abstract":false,"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":"Superposition principle; Aquifer; Multiphysics; Mechanics; Heat transfer; Drawdown (hydrology); Environmental science; Engineering; Groundwater; Geotechnical engineering; Finite element method; Mathematics; Physics; Structural engineering","score_opus":0.01806618648428711,"score_gpt":0.21603670699147356,"score_spread":0.19797052050718644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091320199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41977626,0.0024441397,0.41868147,0.003965638,0.0005267257,0.000314894,0.0027446703,0.0018072161,0.14973892],"genre_scores_gemma":[0.9736292,0.00020013592,0.0016901606,0.000095555515,0.000024116895,0.00006944239,0.00014701008,0.000061632476,0.024082651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996947,0.000051654766,0.0000112322205,0.00009236127,0.00006578566,0.00008427678],"domain_scores_gemma":[0.9994904,0.00024322345,0.000054957414,0.000032389642,0.00014908816,0.000029943583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005219556,0.000825396,0.0014834448,0.00053663406,0.00075243344,0.0015832606,0.0017505601,0.0029572179,0.0070590847],"category_scores_gemma":[0.001261184,0.0007004774,0.0011754071,0.0004977958,0.0012907825,0.0017410915,0.00073583506,0.0013729086,0.0007553678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004921041,0.000027112734,0.00020619013,0.00004615688,0.000015844533,0.000083070176,0.00003775152,0.9905924,0.002572673,0.004555718,0.0005788141,0.001235099],"study_design_scores_gemma":[0.000002849408,0.0000051449633,0.00005281391,0.0000019223307,0.000003028196,0.000004036772,0.0000053461467,0.9993374,0.00016088718,0.0003339677,0.000089177425,0.0000034617633],"about_ca_topic_score_codex":0.03882187,"about_ca_topic_score_gemma":0.020075621,"teacher_disagreement_score":0.03882187,"about_ca_system_score_codex":0.0019746274,"about_ca_system_score_gemma":0.0013975757,"threshold_uncertainty_score":0.07719183},"labels":[],"label_agreement":null},{"id":"W2091813156","doi":"10.1016/j.renene.2014.07.026","title":"Generic ground response functions for ground exchangers in the presence of groundwater flow","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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 Laval","funders":"","keywords":"Borehole; Range (aeronautics); Finite element method; Groundwater flow; Transfer function; Function (biology); Groundwater; Flow (mathematics); Cylinder; Computer science; Mathematical optimization; Applied mathematics; Engineering; Mathematics; Mechanical engineering; Structural engineering; Geometry; Geotechnical engineering; Aquifer; Aerospace engineering","score_opus":0.021238388805548958,"score_gpt":0.22837059031703016,"score_spread":0.2071322015114812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091813156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05933822,0.00023521298,0.9299205,0.00015128829,0.00005565935,0.00005029612,0.00020208556,0.00078504434,0.009261691],"genre_scores_gemma":[0.9561208,0.00026894535,0.035118625,0.000070449634,0.00002896049,0.0000715407,0.0002484538,0.00015763567,0.007914636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968994,0.00010190763,0.000014992721,0.00004771352,0.000068114685,0.00007727273],"domain_scores_gemma":[0.9996921,0.00013146241,0.00003772472,0.00004395074,0.00007398888,0.000020692349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008943506,0.000883851,0.0005653067,0.00051193574,0.00035272515,0.0009068858,0.0007261214,0.0014535805,0.0042127306],"category_scores_gemma":[0.0012940206,0.00015682064,0.0007891181,0.00044297814,0.0006018511,0.000751355,0.0007656942,0.0005769248,0.0006338744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023396724,0.000074722964,0.0013257719,0.00022389316,0.000045705467,0.00043063535,0.00021185573,0.85361224,0.021002054,0.083391316,0.0020842368,0.03736371],"study_design_scores_gemma":[0.0000075169214,0.000015540038,0.00023339698,0.000009131274,0.000008216545,0.00004084785,0.000035677836,0.98933357,0.002053617,0.007488177,0.0007656822,0.000008505838],"about_ca_topic_score_codex":0.0014096824,"about_ca_topic_score_gemma":0.0013761446,"teacher_disagreement_score":0.0042127306,"about_ca_system_score_codex":0.0005486544,"about_ca_system_score_gemma":0.00041406343,"threshold_uncertainty_score":0.014092982},"labels":[],"label_agreement":null},{"id":"W2092513372","doi":"10.1016/j.renene.2005.04.009","title":"Pre-feasibility study of wind power generation in holyrood, newfoundland","year":2005,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Electricity generation; Wind power; Environmental science; Renewable energy; Thermal power station; Power station; Wind hybrid power systems; Nameplate capacity; Electricity; Meteorology; Marine engineering; Environmental engineering; Waste management; Engineering; Power (physics); Distributed generation; Pumped-storage hydroelectricity; Electrical engineering; Geography","score_opus":0.019217716214596028,"score_gpt":0.24748833201362977,"score_spread":0.22827061579903374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092513372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97769666,0.00004689849,0.0006185788,0.00015764427,0.000014281369,0.00012644129,0.00071738096,0.000022250932,0.020599866],"genre_scores_gemma":[0.99206984,0.00004853038,0.00051873317,0.000028592538,0.000003128718,0.000028197237,0.0005575716,0.0000046402765,0.006740755],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968624,0.000057224242,0.000010608372,0.00003069227,0.00008016395,0.0001350102],"domain_scores_gemma":[0.9994118,0.0001374756,0.00003113805,0.000021524724,0.00029407974,0.000104039675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052308245,0.00020370085,0.0001972986,0.000398349,0.0014852089,0.0008256685,0.00040646768,0.00036498043,0.0038930762],"category_scores_gemma":[0.00068480906,0.00015116239,0.00025937083,0.0003553082,0.00033955468,0.000565225,0.00027810203,0.00054919906,0.00033145174],"study_design_candidate":"simulation_or_modeling","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":[0.011505278,0.0062651793,0.632521,0.0007033354,0.0003072514,0.019148791,0.005730662,0.09552207,0.11001699,0.011288626,0.017689502,0.08930137],"study_design_scores_gemma":[0.0004131394,0.0046636877,0.8989426,0.00011245099,0.00015346603,0.00036910453,0.013778981,0.03019965,0.026682258,0.000672925,0.023936482,0.00007522142],"about_ca_topic_score_codex":0.6294327,"about_ca_topic_score_gemma":0.8343332,"teacher_disagreement_score":0.37056732,"about_ca_system_score_codex":0.004625497,"about_ca_system_score_gemma":0.004201438,"threshold_uncertainty_score":0.7454993},"labels":[],"label_agreement":null},{"id":"W2112642164","doi":"10.1016/j.renene.2007.09.018","title":"Solar collector systems to provide hot air in rural applications","year":2007,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":23,"is_retracted":false,"has_abstract":false,"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":"Glazing; Solar energy; Thermal; Photovoltaic thermal hybrid solar collector; Galvanization; Environmental science; Nuclear engineering; Engineering; Meteorology; Materials science; Composite material; Electrical engineering; Physics","score_opus":0.010347025237576952,"score_gpt":0.22657049660631615,"score_spread":0.2162234713687392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112642164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.529967,0.011126992,0.3203002,0.0009921015,0.0011647048,0.00054404786,0.0013887848,0.0058279107,0.12868828],"genre_scores_gemma":[0.921044,0.0028792615,0.02917469,0.0002837542,0.00017789581,0.00010100273,0.00049729797,0.00028586577,0.04555628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986374,0.000029230245,0.0000047521153,0.000025473562,0.000051637984,0.000025203597],"domain_scores_gemma":[0.9997539,0.00006033373,0.000018023518,0.000036533896,0.00010764999,0.000023567907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027811527,0.00031984024,0.00038456108,0.00053762627,0.0008973531,0.00063325424,0.000677072,0.00047706557,0.008955902],"category_scores_gemma":[0.00031672395,0.00022236907,0.00034846488,0.0010330928,0.00016386139,0.00056910125,0.00040878676,0.0006191603,0.001967136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007754422,0.00034537484,0.0063485396,0.0014968606,0.00013394363,0.0003303289,0.0007062364,0.006465723,0.6188447,0.0072228583,0.016747436,0.34058258],"study_design_scores_gemma":[0.00018015466,0.0009509967,0.013809684,0.00014770737,0.000264233,0.0014707295,0.0007269441,0.01996324,0.7548575,0.0034716302,0.20408808,0.00006920819],"about_ca_topic_score_codex":0.0008564681,"about_ca_topic_score_gemma":0.0033021164,"teacher_disagreement_score":0.008955902,"about_ca_system_score_codex":0.00024279841,"about_ca_system_score_gemma":0.00041681065,"threshold_uncertainty_score":0.029960454},"labels":[],"label_agreement":null},{"id":"W2116405029","doi":"10.1016/j.renene.2004.09.001","title":"Pre-feasibility study of stand-alone hybrid energy systems for applications in Newfoundland","year":2004,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":529,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sizing; Renewable energy; Automotive engineering; Hybrid system; Wind power; Energy storage; Battery (electricity); Hybrid power; Environmental science; Diesel fuel; Process engineering; Computer science; Engineering; Electrical engineering; Power (physics)","score_opus":0.01963176915764394,"score_gpt":0.2611503509284296,"score_spread":0.24151858177078564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116405029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801726,0.00010531983,0.0037814213,0.0001772603,0.000024331846,0.0001386048,0.000414372,0.000074544405,0.015111497],"genre_scores_gemma":[0.99222744,0.000041163854,0.0011362573,0.000022079805,0.000002636946,0.000035379828,0.00021542373,0.0000050222643,0.006314588],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971133,0.000042693282,0.0000069721127,0.000033109704,0.00009708587,0.000108640634],"domain_scores_gemma":[0.99953485,0.000101948586,0.000017020542,0.000020662239,0.0002757983,0.00004966275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000584979,0.00020805045,0.00027247865,0.00025823282,0.0011529109,0.000704315,0.00045534648,0.0004884618,0.0052359942],"category_scores_gemma":[0.00048610062,0.0001318373,0.00029962632,0.00021290581,0.00033470333,0.0007179148,0.00027288264,0.00032504267,0.00051589054],"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":[0.011863526,0.00270626,0.12205611,0.00093618257,0.00024539424,0.005565442,0.0019849022,0.10485665,0.6198418,0.007866891,0.011905833,0.11017098],"study_design_scores_gemma":[0.00072866736,0.018715011,0.28181222,0.00013288767,0.0004282248,0.0009741868,0.009230107,0.18955117,0.45296708,0.0017014863,0.043622255,0.00013670269],"about_ca_topic_score_codex":0.14070636,"about_ca_topic_score_gemma":0.26037204,"teacher_disagreement_score":0.85929364,"about_ca_system_score_codex":0.0024084866,"about_ca_system_score_gemma":0.0021088899,"threshold_uncertainty_score":0.27977473},"labels":[],"label_agreement":null},{"id":"W2118507876","doi":"10.1016/j.renene.2007.03.002","title":"A novel maximum power fuzzy logic controller for photovoltaic solar energy systems","year":2007,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":191,"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 New Brunswick","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Chopper; Control theory (sociology); Photovoltaic system; Maximum power point tracking; Maximum power principle; Controller (irrigation); Voltage; Computer science; Automotive engineering; Engineering; Electrical engineering; Inverter","score_opus":0.016413036791406013,"score_gpt":0.24078843672729708,"score_spread":0.22437539993589106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118507876","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":[0.02512582,0.0007192042,0.96089363,0.00017200364,0.0002481761,0.00007013158,0.000044493234,0.0008614991,0.0118651],"genre_scores_gemma":[0.83132696,0.00029660054,0.15995464,0.00019826343,0.00012971397,0.00012122895,0.000057804133,0.000037056543,0.007877674],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998424,0.000016651518,0.000010188036,0.000035082434,0.00007990076,0.00001587931],"domain_scores_gemma":[0.99990404,0.000026780577,0.00001182102,0.000009087222,0.000042049793,0.0000061621063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021786845,0.0004057921,0.0005012058,0.00022408475,0.00043148795,0.00073213415,0.0011196252,0.00065212284,0.003092913],"category_scores_gemma":[0.00027864423,0.0002058676,0.0002586813,0.00021207372,0.00015077932,0.00041982398,0.000274017,0.0006320369,0.0005168459],"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":[0.000609524,0.00035781204,0.000451411,0.00050251215,0.0001404285,0.00045914762,0.00013444427,0.18279807,0.14172873,0.013250992,0.0055382825,0.6540287],"study_design_scores_gemma":[0.00011633591,0.00024402398,0.00036732372,0.00002280136,0.00004435953,0.00018530175,0.0000133353515,0.97255725,0.018441042,0.0019640601,0.006025372,0.000018664137],"about_ca_topic_score_codex":0.0014664927,"about_ca_topic_score_gemma":0.0040865345,"teacher_disagreement_score":0.003092913,"about_ca_system_score_codex":0.00031467667,"about_ca_system_score_gemma":0.00029260942,"threshold_uncertainty_score":0.01034683},"labels":[],"label_agreement":null},{"id":"W2140640882","doi":"10.1016/j.renene.2009.03.017","title":"The role of taxation policy and incentives in wind-based distributed generation projects viability: Ontario case study","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Incentive; Wind power; Allowance (engineering); Turbine; Internal rate of return; Environmental economics; Net present value; Business; Revenue; Renewable energy; Economics; Engineering; Production (economics); Finance; Operations management; Microeconomics","score_opus":0.018670692898139593,"score_gpt":0.21742765072125075,"score_spread":0.19875695782311115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140640882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966892,0.0001991869,0.0010859467,0.00085055776,0.000005774761,0.00009314953,0.00030828375,0.0000113592405,0.030553821],"genre_scores_gemma":[0.9945615,0.00017999907,0.0003509785,0.000015588877,0.0000020401815,0.000012888555,0.000053880118,0.0000025730885,0.004820591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992501,0.00018785585,0.000025265932,0.00004174246,0.00020098484,0.0002941023],"domain_scores_gemma":[0.99664944,0.0015971242,0.00046590576,0.00012116809,0.00080857496,0.00035776442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010603176,0.0002051379,0.0003015257,0.00051727146,0.002043134,0.0018909321,0.00070589985,0.00089789147,0.0022495738],"category_scores_gemma":[0.0051925275,0.00021942762,0.00035780863,0.0011334022,0.0012833513,0.0008895382,0.0006364572,0.00058280997,0.00010585933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016866507,0.00077317876,0.40535793,0.0004075571,0.00020124057,0.008916153,0.006237776,0.3169179,0.0049271374,0.16017595,0.01188475,0.08251374],"study_design_scores_gemma":[0.00093864225,0.0007747788,0.5208209,0.00028587945,0.000564154,0.0016780035,0.03340051,0.33141574,0.0065067816,0.039407715,0.063924834,0.00028209624],"about_ca_topic_score_codex":0.9276002,"about_ca_topic_score_gemma":0.973704,"teacher_disagreement_score":0.97354937,"about_ca_system_score_codex":0.02645063,"about_ca_system_score_gemma":0.020723542,"threshold_uncertainty_score":0.19191366},"labels":[],"label_agreement":null},{"id":"W2152799325","doi":"10.1016/j.renene.2008.04.019","title":"Wind integration into various generation mixtures","year":2008,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":55,"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":"Tonne; Electricity generation; Environmental science; Wind power; Range (aeronautics); Natural gas; Operating cost; Thermal power station; Coal; Waste management; Process engineering; Engineering; Power (physics); Aerospace engineering; Electrical engineering","score_opus":0.009296695149433761,"score_gpt":0.18632173041144515,"score_spread":0.17702503526201138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152799325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6864096,0.00073664624,0.29221004,0.00014021674,0.00007579962,0.00006024197,0.00017603715,0.00025893486,0.019932477],"genre_scores_gemma":[0.9836549,0.0001419607,0.014396562,0.000013410064,0.000008018252,0.000017643259,0.000062991494,0.000059839458,0.0016447209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998834,0.000042805583,0.0000068585987,0.0000249293,0.000028485365,0.000013465265],"domain_scores_gemma":[0.9998543,0.000079501224,0.000016564762,0.000014692075,0.000022945183,0.000011873941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003688552,0.00033170273,0.0003823495,0.00024359698,0.00022893978,0.0007321129,0.0002724737,0.00023994478,0.0015896814],"category_scores_gemma":[0.00096747855,0.00026179565,0.00039029343,0.00041609508,0.00021734374,0.0009402301,0.00026234062,0.00038920573,0.00019790736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012248968,0.00013745505,0.0055829408,0.00013642022,0.00015589518,0.00021066242,0.000103417966,0.87147576,0.030046768,0.03495143,0.00033322148,0.055641033],"study_design_scores_gemma":[0.000028888877,0.000097490105,0.0015929386,0.000012610846,0.00008192737,0.00003212339,0.000020961137,0.978506,0.014191899,0.0046810494,0.00074313016,0.000010912789],"about_ca_topic_score_codex":0.00041147688,"about_ca_topic_score_gemma":0.0011504967,"teacher_disagreement_score":0.0015896814,"about_ca_system_score_codex":0.000164542,"about_ca_system_score_gemma":0.00016891057,"threshold_uncertainty_score":0.0053180456},"labels":[],"label_agreement":null},{"id":"W2153306465","doi":"10.1016/j.renene.2012.11.009","title":"High resolution wind atlas for Nakhon Si Thammarat and Songkhla provinces, Thailand","year":2012,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"Université de Moncton","funders":"Thaksin University; National Research Council of Thailand; European Commission","keywords":"Atlas (anatomy); Geography; Environmental science; Cartography; Medicine","score_opus":0.00974339618710357,"score_gpt":0.20201879318175828,"score_spread":0.1922753969946547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153306465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5840343,0.0009797391,0.005108167,0.0002859198,0.00008916591,0.00017873541,0.36192444,0.0016814363,0.04571806],"genre_scores_gemma":[0.84641594,0.00075773045,0.011064179,0.000036677342,0.000038444006,0.0001612569,0.12967268,0.00015928264,0.011693879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992335,0.000007750612,0.000004515394,0.000017740987,0.000024620449,0.000021942533],"domain_scores_gemma":[0.9998179,0.000009926375,0.000024903053,0.000020962974,0.000085759864,0.000040474377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013331612,0.00030118984,0.00016457323,0.0012566677,0.0006068838,0.000595289,0.00022799459,0.00022572433,0.004116127],"category_scores_gemma":[0.0002377647,0.00019418725,0.00017716408,0.0032814902,0.00011776885,0.0002812044,0.00030926455,0.00022609932,0.001017852],"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":[0.001814394,0.00021903153,0.5969152,0.0012543603,0.00069251645,0.0026776379,0.002195844,0.0711548,0.03006398,0.0032304751,0.13352937,0.1562524],"study_design_scores_gemma":[0.000107236636,0.000035480043,0.901067,0.000057141624,0.00007390241,0.00041594557,0.001045901,0.010637803,0.0023124358,0.00042387802,0.08377824,0.00004507631],"about_ca_topic_score_codex":0.27334592,"about_ca_topic_score_gemma":0.4085306,"teacher_disagreement_score":0.27334592,"about_ca_system_score_codex":0.000649385,"about_ca_system_score_gemma":0.0017869344,"threshold_uncertainty_score":0.5435097},"labels":[],"label_agreement":null},{"id":"W2166017874","doi":"10.1016/j.renene.2010.02.002","title":"Integrated solar pump design incorporating a brushless DC motor for use in a solar heating system","year":2010,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Motor Design and Analysis","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":"Dalhousie University","funders":"","keywords":"Photovoltaic system; Solar energy; Axial piston pump; Stator; Mechanical engineering; Hydraulic motor; Electrical engineering; Hydraulic pump; DC motor; Engineering; Automotive engineering; Variable displacement pump","score_opus":0.016441493903527758,"score_gpt":0.19876374528796836,"score_spread":0.1823222513844406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166017874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27019686,0.0006364943,0.71273357,0.0002121596,0.00017887488,0.00028717692,0.00019307,0.0017440484,0.013817858],"genre_scores_gemma":[0.9217884,0.0001983145,0.07077796,0.000035732628,0.000020062853,0.0001512147,0.00010211978,0.00009408064,0.0068321647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997304,0.00003710757,0.000017606297,0.000058745165,0.00012656566,0.00002946855],"domain_scores_gemma":[0.99974245,0.000035205077,0.00003355078,0.000028860974,0.00014190027,0.000017974786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029313407,0.00035169133,0.0006598278,0.000251239,0.00039497265,0.00071631325,0.0011708925,0.00064646045,0.0028742768],"category_scores_gemma":[0.00029499314,0.00037283456,0.0004600434,0.00025978513,0.00020640298,0.0005657662,0.00026082626,0.00041684663,0.00062491954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013657354,0.00050508947,0.0030900377,0.0010284062,0.0003578831,0.00023168896,0.00017440914,0.07472462,0.7622091,0.007946794,0.0027491858,0.145617],"study_design_scores_gemma":[0.00023665045,0.0027819253,0.006874561,0.00004982732,0.00035167014,0.0004917131,0.00007212806,0.5661074,0.39713898,0.000699846,0.025130218,0.00006510792],"about_ca_topic_score_codex":0.0009845378,"about_ca_topic_score_gemma":0.001230673,"teacher_disagreement_score":0.0028742768,"about_ca_system_score_codex":0.00045427954,"about_ca_system_score_gemma":0.0006289719,"threshold_uncertainty_score":0.009615421},"labels":[],"label_agreement":null},{"id":"W2181243274","doi":"10.1016/j.renene.2015.10.021","title":"Economic impact potential of solar photovoltaics in Illinois","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":20,"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":"Energy Foundation; Illinois Department of Commerce and Economic Opportunity","keywords":"Photovoltaics; Quarter (Canadian coin); Photovoltaic system; Economic impact analysis; Work (physics); Environmental science; Agricultural economics; Business; Engineering; Environmental economics; Economics; Geography; Civil engineering; Electrical engineering","score_opus":0.00875042978558733,"score_gpt":0.22620569070943136,"score_spread":0.21745526092384404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181243274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8925258,0.00047037128,0.00030491062,0.0012406036,0.000017850272,0.000014916795,0.0002782616,0.000025241336,0.10512209],"genre_scores_gemma":[0.98407227,0.00027200632,0.0001317178,0.000068385154,0.0000069978587,0.000006866861,0.00010352008,0.0000035751962,0.015334561],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999676,0.00008142046,0.0000075449802,0.000025298792,0.000102065525,0.00010781728],"domain_scores_gemma":[0.99956113,0.00019656814,0.00002671281,0.000011408133,0.00011705459,0.000087173365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040500137,0.00012867332,0.000085504864,0.0009982212,0.0009373178,0.0023315116,0.00031385603,0.0003656254,0.0056342734],"category_scores_gemma":[0.0006182633,0.000115945426,0.0002291457,0.00087378715,0.00063978264,0.0005491888,0.0007136845,0.00055530417,0.00024767383],"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":[0.0035700852,0.0015413378,0.4855413,0.00040773905,0.00019765459,0.0056215823,0.002276869,0.111123696,0.026024085,0.212059,0.02346342,0.12817329],"study_design_scores_gemma":[0.00026832696,0.0015486483,0.61121225,0.0004089161,0.0003573688,0.0007670534,0.018275071,0.113066025,0.03265827,0.03921987,0.18197653,0.00024168144],"about_ca_topic_score_codex":0.08050433,"about_ca_topic_score_gemma":0.2259469,"teacher_disagreement_score":0.08050433,"about_ca_system_score_codex":0.00506032,"about_ca_system_score_gemma":0.0019915134,"threshold_uncertainty_score":0.16007149},"labels":[],"label_agreement":null},{"id":"W2184801711","doi":"10.1016/j.renene.2015.09.002","title":"Aero-structural design and optimization of a small wind turbine blade","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":112,"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":"Blade (archaeology); Blade element momentum theory; Turbine blade; Structural engineering; Deflection (physics); Chord (peer-to-peer); Blade element theory; Turbine; Stress (linguistics); Inertia; Engineering; Blade pitch; Mechanical engineering; Computer science; Physics","score_opus":0.02255146527448093,"score_gpt":0.20573638612272285,"score_spread":0.18318492084824192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184801711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57948726,0.00047479302,0.38053957,0.000653847,0.00021291514,0.00025087726,0.0003766092,0.00044232624,0.03756182],"genre_scores_gemma":[0.9640496,0.0001023266,0.030287776,0.00004605716,0.000025895026,0.00013908256,0.00007942209,0.00006207511,0.0052077165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993753,0.000018438262,0.0000023354683,0.000010024259,0.000021477283,0.00001013696],"domain_scores_gemma":[0.9998394,0.00007766909,0.000019771353,0.000010182168,0.000031326068,0.000021570231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022027995,0.00038112784,0.00060162914,0.00026930965,0.0004948067,0.000541351,0.00048026835,0.0009111502,0.0037072299],"category_scores_gemma":[0.00044646283,0.00039497152,0.00042295337,0.00021046003,0.0003946104,0.00023629909,0.0003394419,0.000369723,0.00040594162],"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":[0.00007064266,0.00003905885,0.00041116236,0.00004955678,0.000008334402,0.000090356865,0.000018146948,0.9858807,0.007664854,0.0010657241,0.0002541212,0.004447443],"study_design_scores_gemma":[0.000019406654,0.00008521771,0.0003038257,0.0000020410446,0.000004241,0.000010590521,0.000014455812,0.9985134,0.0005218182,0.0002032903,0.00031824296,0.0000033935314],"about_ca_topic_score_codex":0.0030966632,"about_ca_topic_score_gemma":0.0042008474,"teacher_disagreement_score":0.0037072299,"about_ca_system_score_codex":0.000366072,"about_ca_system_score_gemma":0.00088863395,"threshold_uncertainty_score":0.012401938},"labels":[],"label_agreement":null},{"id":"W2189889869","doi":"10.1016/j.renene.2015.11.049","title":"Impacts of large-scale wave integration into a transmission-constrained grid","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":23,"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":"Pacific Institute for Climate Solutions","keywords":"Grid; Transmission (telecommunications); Wave power; Scale (ratio); Energy (signal processing); Environmental science; Computer science; Telecommunications; Physics; Geography; Mathematics; Statistics","score_opus":0.012110726733121104,"score_gpt":0.21191937928709584,"score_spread":0.19980865255397473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189889869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948004,0.00023459517,0.021288047,0.0021290742,0.00022031451,0.00009588804,0.00073770754,0.00044997982,0.026840474],"genre_scores_gemma":[0.9977064,0.000070125,0.0007306335,0.000076929966,0.000015778554,0.000011057675,0.00012530567,0.000029488709,0.0012342471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958676,0.00017213786,0.000019174351,0.000059689974,0.00007104426,0.00009121924],"domain_scores_gemma":[0.9985512,0.0006813511,0.00017816738,0.00011083594,0.00028638076,0.00019201958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075107475,0.00073088007,0.00069299195,0.00027602733,0.000706979,0.002000184,0.0009055341,0.0012228965,0.008806417],"category_scores_gemma":[0.002942347,0.0004320691,0.00055507926,0.00084133854,0.0009284083,0.0022784285,0.0012753098,0.0019940652,0.0005600287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015482215,0.0002788327,0.00681185,0.00009193717,0.00015575126,0.0014622662,0.0000848179,0.95637846,0.004860666,0.01298817,0.0033317227,0.012007253],"study_design_scores_gemma":[0.00026507967,0.00042332112,0.009161407,0.000029500581,0.00015122119,0.0001569479,0.0006326515,0.97553104,0.003077566,0.008212001,0.002317511,0.000041834755],"about_ca_topic_score_codex":0.017794887,"about_ca_topic_score_gemma":0.014381234,"teacher_disagreement_score":0.017794887,"about_ca_system_score_codex":0.001322812,"about_ca_system_score_gemma":0.0007452917,"threshold_uncertainty_score":0.03538263},"labels":[],"label_agreement":null},{"id":"W2254959147","doi":"10.1016/j.renene.2015.11.066","title":"Starting-up low temperature dry anaerobic digestion of cow feces and wheat straw","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Straw; Animal science; Anaerobic digestion; Chemistry; Feces; Digestion (alchemy); Anaerobic exercise; Methane; Food science; Agronomy; Biology; Chromatography","score_opus":0.00902383704098282,"score_gpt":0.19450014408438607,"score_spread":0.18547630704340326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254959147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994062,0.0005451679,0.0037154057,0.00004460558,0.000042571708,0.00004949187,0.00025572078,0.000036292655,0.0012487553],"genre_scores_gemma":[0.9880386,0.00046499496,0.007725329,0.00004300383,0.00001611586,0.000034246656,0.0005188383,0.000029018398,0.0031298597],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999902,0.00001323279,0.000006009013,0.000017794357,0.000021380209,0.000039712853],"domain_scores_gemma":[0.9999169,0.000017205904,0.000010067375,0.000010227796,0.000013406913,0.00003229142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017978459,0.00038143495,0.00042979003,0.00024036679,0.00032012153,0.00039343396,0.00019544273,0.00021906283,0.0013185241],"category_scores_gemma":[0.00019886091,0.0001206906,0.00045778957,0.00031321635,0.00012416602,0.0003003594,0.00033694188,0.0005380879,0.00039072303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004359533,0.00009680143,0.00086277886,0.00010569778,0.000010514006,0.000054194366,0.000025751935,0.0001545399,0.9930005,0.0000344067,0.000038498816,0.005180306],"study_design_scores_gemma":[0.000015508322,0.0004682715,0.006940406,0.000013657883,0.000022609192,0.00005572185,0.000080847654,0.00049847504,0.9904171,0.000040334584,0.0014410419,0.000006105818],"about_ca_topic_score_codex":0.0015361989,"about_ca_topic_score_gemma":0.0037310468,"teacher_disagreement_score":0.0015361989,"about_ca_system_score_codex":0.00019380896,"about_ca_system_score_gemma":0.00045838152,"threshold_uncertainty_score":0.004410863},"labels":[],"label_agreement":null},{"id":"W2283673116","doi":"10.1016/j.renene.2016.01.041","title":"Heterogeneous mixture distributions for modeling wind speed, application to the UAE","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":71,"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 de la Recherche Scientifique","funders":"Masdar Institute of Science and Technology; Utah Agricultural Experiment Station","keywords":"Weibull distribution; Wind speed; Environmental science; Mixture model; Meteorology; Wind power; Probability distribution; Mixture distribution; Statistics; Mathematics; Probability density function; Engineering; Physics","score_opus":0.011038988388557556,"score_gpt":0.21986471589591344,"score_spread":0.2088257275073559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283673116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015789535,0.00027345307,0.98250294,0.00009733017,0.000055746426,0.000030885734,0.00012693231,0.00031769584,0.0008054421],"genre_scores_gemma":[0.7202153,0.0013135953,0.26573664,0.00017297556,0.000250708,0.0003432198,0.0012296848,0.0004404517,0.0102974335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995684,0.00018359695,0.000023222698,0.000096561766,0.000081897306,0.000046322886],"domain_scores_gemma":[0.9984711,0.0010897333,0.000108025124,0.000105319836,0.00016568314,0.000060055805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020542822,0.0010375438,0.001339033,0.0009850552,0.0008975335,0.0013750598,0.0016529127,0.0016232227,0.0018203061],"category_scores_gemma":[0.005207478,0.0010446884,0.0017581668,0.0014205505,0.00070006703,0.0018278387,0.0010789803,0.001986698,0.00060787366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006967781,0.000047081485,0.0007047028,0.000030197454,0.000056114222,0.00004047912,0.000036688118,0.96604496,0.0008026184,0.012835068,0.0004902444,0.01884213],"study_design_scores_gemma":[0.0000023170062,0.0000034961035,0.00006941182,0.0000014768182,0.0000033392614,0.0000035710739,0.000002094111,0.99841285,0.00008650955,0.0012990574,0.00011237537,0.0000034797977],"about_ca_topic_score_codex":0.014481787,"about_ca_topic_score_gemma":0.011675934,"teacher_disagreement_score":0.014481787,"about_ca_system_score_codex":0.00071827683,"about_ca_system_score_gemma":0.00069309404,"threshold_uncertainty_score":0.028795004},"labels":[],"label_agreement":null},{"id":"W2295901159","doi":"10.1016/j.renene.2016.02.072","title":"Impact of furfural on biohydrogen production from glucose and xylose in continuous-flow systems","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GreenField Specialty Alcolhols (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Furfural; Biohydrogen; Xylose; Chemistry; Yield (engineering); Hydrogen production; Nuclear chemistry; Hydrogen; Food science; Fermentation; Biochemistry; Catalysis; Organic chemistry; Materials science","score_opus":0.007258461169398042,"score_gpt":0.19504655544847024,"score_spread":0.1877880942790722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295901159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899656,0.0002838243,0.00018628607,0.000039313607,0.00001278864,0.000004262874,0.000060117276,0.0000062085996,0.0004107048],"genre_scores_gemma":[0.99953353,0.00013981317,0.00009880957,0.0000067310043,0.000002667123,0.0000021944115,0.000040394425,0.0000022381855,0.00017374844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996908,0.000058081718,0.000015981324,0.00005030203,0.00008654803,0.000098414486],"domain_scores_gemma":[0.9995709,0.0002430594,0.00003992089,0.00001825179,0.00008149456,0.000046366495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003716438,0.0003663249,0.00038784716,0.00025440345,0.00048184098,0.0012848293,0.00034636716,0.00043715021,0.001759549],"category_scores_gemma":[0.0007918507,0.00017818957,0.00036459998,0.00023149101,0.00050780934,0.0008237561,0.0003668729,0.00052109687,0.00022239199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008476093,0.00067517656,0.004322917,0.00031762262,0.00007633419,0.00032064389,0.00017553003,0.008767124,0.95675075,0.00051439635,0.0002149915,0.019388396],"study_design_scores_gemma":[0.00007426744,0.0013540096,0.0053592306,0.000018925837,0.000047476475,0.00003175732,0.00017182948,0.009480624,0.982752,0.00009266588,0.0006005233,0.00001670011],"about_ca_topic_score_codex":0.005878008,"about_ca_topic_score_gemma":0.00534869,"teacher_disagreement_score":0.005878008,"about_ca_system_score_codex":0.00097602763,"about_ca_system_score_gemma":0.0006199459,"threshold_uncertainty_score":0.011687577},"labels":[],"label_agreement":null},{"id":"W2305950301","doi":"10.1016/j.renene.2016.03.031","title":"Power curve monitoring using weighted moving average control charts","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","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":"Desjardins; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"EWMA chart; Control chart; Moving average; Turbine; Wind power; Bin; Robustness (evolution); Statistics; Control theory (sociology); Computer science; Engineering; Mathematics; Process (computing); Algorithm; Control (management); Artificial intelligence","score_opus":0.043311968652652966,"score_gpt":0.2821480385190283,"score_spread":0.23883606986637534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305950301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029878687,0.00018154382,0.96797633,0.000040594026,0.000038484304,0.000022254511,0.00005094697,0.0006929233,0.0011181067],"genre_scores_gemma":[0.9081098,0.00015840991,0.09050566,0.00002923146,0.00003854147,0.00004936713,0.00009806186,0.000103885766,0.0009071138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855405,0.0004105597,0.00010358156,0.00032947486,0.00053427514,0.00006812196],"domain_scores_gemma":[0.99666554,0.0015997322,0.0005955074,0.00037263535,0.00070134166,0.000065238164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017259686,0.00087615364,0.0008539573,0.0012362335,0.0003052226,0.0015696208,0.0007381975,0.00046292163,0.0008704856],"category_scores_gemma":[0.008776715,0.00027208042,0.0003989386,0.0012298656,0.00038869237,0.0019236159,0.0006549072,0.0006871766,0.00018293453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053200463,0.00011126034,0.0028454862,0.00016250699,0.00014389785,0.00011642195,0.00013946978,0.6361882,0.0125215305,0.017019065,0.0014407589,0.3287794],"study_design_scores_gemma":[0.0000054273346,0.00004262555,0.00038963073,0.000005751804,0.0000126016985,0.000014313912,0.000003979712,0.99376464,0.0029009944,0.0025000705,0.00035053075,0.000009463247],"about_ca_topic_score_codex":0.0022624484,"about_ca_topic_score_gemma":0.0015602212,"teacher_disagreement_score":0.0022624484,"about_ca_system_score_codex":0.0004547622,"about_ca_system_score_gemma":0.00038572846,"threshold_uncertainty_score":0.009127915},"labels":[],"label_agreement":null},{"id":"W232825933","doi":"10.1016/j.renene.2015.04.055","title":"Enhanced biogas production from anaerobic co-digestion of municipal wastewater treatment sludge and fat, oil and grease (FOG) by a modified two-stage thermophilic digester system with selected thermo-chemical pre-treatment","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":65,"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":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Anaerobic digestion; Biogas; Chemistry; Pulp and paper industry; Sewage treatment; Digestion (alchemy); Hydraulic retention time; Hydrolysis; Waste management; Methane; Wastewater; Environmental science; Environmental engineering; Chromatography; Biochemistry","score_opus":0.012375451279807196,"score_gpt":0.20945653971786585,"score_spread":0.19708108843805866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W232825933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812037,0.00025692108,0.0012328824,0.00001303135,0.000019030063,0.00000974619,0.00006635902,0.000029063245,0.00025261557],"genre_scores_gemma":[0.99722606,0.00024826784,0.0015064743,0.000010217114,0.0000051084476,0.000010513109,0.00014410896,0.000009257529,0.00083991454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989665,0.000009998368,0.00001157112,0.000021111004,0.00002900713,0.000031658717],"domain_scores_gemma":[0.99996114,0.000006291875,0.0000083674695,0.0000035737955,0.000006820959,0.000013850081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015388516,0.00056085375,0.00053705595,0.00027036856,0.00015012042,0.00041734322,0.00028520398,0.00039691787,0.00036214272],"category_scores_gemma":[0.00009652921,0.000271442,0.0006059296,0.00022001777,0.00015821702,0.0002623276,0.0002704704,0.00036412306,0.00013218005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020668696,0.000034378347,0.00013659168,0.000025149891,0.000007907494,0.000026779759,0.000008161852,0.00014348335,0.9984261,0.000015470816,0.00000819314,0.0009612006],"study_design_scores_gemma":[0.000017377857,0.00020205426,0.0020281598,0.0000033485533,0.000027345932,0.000037688114,0.000009913566,0.0010000552,0.9964264,0.000009325634,0.000231986,0.000006435432],"about_ca_topic_score_codex":0.0016194753,"about_ca_topic_score_gemma":0.0029027024,"teacher_disagreement_score":0.0016194753,"about_ca_system_score_codex":0.00024320759,"about_ca_system_score_gemma":0.0003618918,"threshold_uncertainty_score":0.0032200813},"labels":[],"label_agreement":null},{"id":"W2340244231","doi":"10.1016/j.renene.2016.04.017","title":"Direct calculation of wind turbine tip loss","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":40,"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":"Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation","keywords":"Prandtl number; Rotor (electric); Bessel function; Mechanics; Turbine; Wake; Magnetic Prandtl number; Mathematics; Airfoil; Turbine blade; Mathematical analysis; Physics; Structural engineering; Engineering; Turbulence; Reynolds number; Convection; Thermodynamics; Nusselt number","score_opus":0.00797506464918504,"score_gpt":0.20082750816547895,"score_spread":0.1928524435162939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340244231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12190838,0.0013689258,0.6780367,0.0004761486,0.0006690022,0.0002499466,0.00079847715,0.0014146104,0.19507782],"genre_scores_gemma":[0.8518043,0.0006143043,0.08294587,0.00020520875,0.000121294834,0.00016599984,0.00029465498,0.0006806318,0.06316777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998517,0.000016036574,0.0000058308888,0.000014834109,0.00009719131,0.000014412774],"domain_scores_gemma":[0.9995672,0.00014316948,0.00002361489,0.00005705886,0.00018559712,0.000023289072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024000817,0.0005078713,0.0006398677,0.00041005734,0.00037219905,0.0007492301,0.0011670141,0.0007383895,0.010196664],"category_scores_gemma":[0.0015784926,0.00047676847,0.0004372842,0.00038074324,0.00034799543,0.000971571,0.00071017613,0.00067850534,0.0016468271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014704504,0.00011343369,0.0020911086,0.00067898916,0.00008198499,0.00064438,0.00015444338,0.8841138,0.010184187,0.027901331,0.005404749,0.068484604],"study_design_scores_gemma":[0.000029964727,0.000022997025,0.00082243746,0.00002453141,0.000016422431,0.000089397596,0.000026711994,0.99074626,0.002168674,0.002893513,0.0031523614,0.0000067346828],"about_ca_topic_score_codex":0.007817128,"about_ca_topic_score_gemma":0.0134989945,"teacher_disagreement_score":0.010196664,"about_ca_system_score_codex":0.0005369459,"about_ca_system_score_gemma":0.0007341582,"threshold_uncertainty_score":0.0341112},"labels":[],"label_agreement":null},{"id":"W2342534334","doi":"10.1016/j.renene.2016.03.097","title":"Surfactant mediated enhanced glycerol uptake and hydrogen production from biodiesel waste using co-culture of Enterobacter aerogenes and Clostridium butyricum","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","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":"Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glycerol; Clostridium butyricum; Pulmonary surfactant; Chemistry; Enterobacter aerogenes; Bioconversion; Fermentation; Food science; Hydrogen production; Biohydrogen; Chromatography; Central composite design; Nuclear chemistry; Biochemistry; Response surface methodology; Hydrogen; Organic chemistry","score_opus":0.00708811340269074,"score_gpt":0.20315581028220087,"score_spread":0.19606769687951012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342534334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985655,0.00014700736,0.0008326962,0.000028301045,0.000014638572,0.0000078823805,0.000052255928,0.000022074199,0.000329726],"genre_scores_gemma":[0.99782336,0.00012939135,0.0009784979,0.0000072309645,0.000002454648,0.0000072086564,0.00010932805,0.000011476459,0.00093100755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977535,0.000024436978,0.000023616587,0.000029232455,0.0000650202,0.00008226373],"domain_scores_gemma":[0.9998907,0.000017304978,0.000024341914,0.000009415267,0.000032353397,0.000026009877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022886362,0.00059303886,0.00034543773,0.00030147654,0.00018286897,0.0005992102,0.00038430435,0.0003482689,0.00063014287],"category_scores_gemma":[0.00022593878,0.00019735035,0.00041515945,0.0003841278,0.00014855845,0.00039739546,0.00047739767,0.0004131784,0.00024770075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013832003,0.00003179847,0.000112572176,0.000018254126,0.00000415178,0.000026969055,0.00001126661,0.00008776692,0.99873835,0.000028557539,0.000009462506,0.00079246017],"study_design_scores_gemma":[0.0000043136697,0.000049355283,0.00023871561,0.0000012071655,0.0000061042283,0.000011756741,0.000012227955,0.0004941936,0.99908304,0.000003526447,0.00009297266,0.0000026131959],"about_ca_topic_score_codex":0.0020706947,"about_ca_topic_score_gemma":0.003710479,"teacher_disagreement_score":0.0020706947,"about_ca_system_score_codex":0.0003438688,"about_ca_system_score_gemma":0.00042636186,"threshold_uncertainty_score":0.0041172504},"labels":[],"label_agreement":null},{"id":"W2350008254","doi":"10.1016/j.renene.2016.05.029","title":"Use of some advanced biofuels for overcoming smoke/NOx trade-off in a light-duty DI diesel engine","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":70,"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":"","keywords":"Diesel fuel; NOx; Cetane number; Exhaust gas recirculation; Diesel engine; Combustion; Smoke; Biofuel; Environmental science; Waste management; Automotive engineering; Biodiesel; Materials science; Exhaust gas; Chemistry; Engineering; Organic chemistry","score_opus":0.021000069934539897,"score_gpt":0.23754611011531135,"score_spread":0.21654604018077145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350008254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971205,0.0007474057,0.0013286344,0.000038578997,0.000029126399,0.000010419533,0.000037269474,0.000017446238,0.0006706033],"genre_scores_gemma":[0.9958156,0.0007039275,0.002437132,0.000019781719,0.000005878284,0.0000062376675,0.000037653197,0.0000063210555,0.0009675436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999372,0.000005287921,0.0000051486213,0.00001496901,0.000018380706,0.000019118927],"domain_scores_gemma":[0.999949,0.000010166488,0.000007955817,0.000005431582,0.0000153552,0.00001202254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014763139,0.0002009415,0.00025677303,0.0003288867,0.00031253955,0.0002658298,0.0003136562,0.00027256206,0.00059118186],"category_scores_gemma":[0.00013357645,0.00009043661,0.0003944536,0.00018229985,0.0001388265,0.0002371403,0.00020909193,0.0002457886,0.000093619856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007254592,0.00017093509,0.00085993385,0.00016047043,0.00001798076,0.00024838294,0.000036351343,0.0008843799,0.98361635,0.00018886212,0.000047617716,0.013043274],"study_design_scores_gemma":[0.00001292049,0.0004158814,0.000788857,0.0000044659682,0.000027619415,0.000041087984,0.000030551386,0.0019086326,0.9956917,0.000034538698,0.0010374908,0.0000061677106],"about_ca_topic_score_codex":0.0014394316,"about_ca_topic_score_gemma":0.0027973375,"teacher_disagreement_score":0.0014394316,"about_ca_system_score_codex":0.00018816504,"about_ca_system_score_gemma":0.0001803546,"threshold_uncertainty_score":0.0028621554},"labels":[],"label_agreement":null},{"id":"W2408095801","doi":"10.1016/j.renene.2016.05.060","title":"A wind tunnel study on the aerodynamic interaction of vertical axis wind turbines in array configurations","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":91,"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":"Turbine; Aerodynamics; Wind tunnel; Wind power; Hypersonic wind tunnel; Marine engineering; Wind direction; Vertical axis; Rotor (electric); Vertical axis wind turbine; Mechanics; Physics; Wind speed; Aerospace engineering; Meteorology; Engineering; Mechanical engineering; Electrical engineering; Engineering drawing","score_opus":0.01678742132832241,"score_gpt":0.23447331834940738,"score_spread":0.21768589702108496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408095801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99079925,0.000071434166,0.003486053,0.00004090466,0.000018281191,0.000025491196,0.00009051214,0.00003892819,0.0054290146],"genre_scores_gemma":[0.9979634,0.000030911215,0.0008283895,0.0000078017865,0.000004568518,0.000010609327,0.000047727062,0.000011280523,0.0010954574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998735,0.00004624529,0.0000055842165,0.000012594094,0.000029392098,0.000032525248],"domain_scores_gemma":[0.99949133,0.0002835825,0.000037762493,0.000043896507,0.000084855164,0.00005855277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002782142,0.00037497413,0.00043128565,0.000281876,0.00060442416,0.0004533957,0.00026682107,0.00052758126,0.0034962562],"category_scores_gemma":[0.00086481747,0.00028023717,0.00033246572,0.00030732233,0.00039665855,0.0006452728,0.00037122954,0.00040100675,0.0002494082],"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":[0.0023150586,0.0015715172,0.022521446,0.00029306626,0.00013198878,0.0028925983,0.00056024746,0.77582747,0.16630973,0.005783977,0.0022708897,0.019521981],"study_design_scores_gemma":[0.00021446035,0.0029125425,0.03302677,0.00003710495,0.000052203253,0.000734883,0.0007796045,0.9427672,0.016237276,0.001445767,0.0017123874,0.00007964838],"about_ca_topic_score_codex":0.001381958,"about_ca_topic_score_gemma":0.0014676054,"teacher_disagreement_score":0.0034962562,"about_ca_system_score_codex":0.00010159224,"about_ca_system_score_gemma":0.00024333467,"threshold_uncertainty_score":0.01169616},"labels":[],"label_agreement":null},{"id":"W2476430745","doi":"10.1016/j.renene.2016.07.005","title":"Extending thermal response test assessments with inverse numerical modeling of temperature profiles measured in ground heat exchangers","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal conductivity; Thermal transmittance; Thermal; Geothermal gradient; Heat transfer; Heat exchanger; Materials science; Thermal effusivity; Environmental science; Mechanics; Thermal resistance; Thermodynamics; Geology; Thermal contact conductance; Geophysics; Composite material; Physics","score_opus":0.02205799214131725,"score_gpt":0.24866388396349798,"score_spread":0.22660589182218072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476430745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.865752,0.000062827305,0.12635149,0.00011828967,0.000048011392,0.0002008906,0.00050879974,0.001134249,0.0058233743],"genre_scores_gemma":[0.9903488,0.000021282309,0.008870564,0.000016545226,0.0000034114328,0.000046577847,0.00015808348,0.00003744217,0.0004973106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990613,0.00027000438,0.000057982794,0.00014257258,0.00037113266,0.00009707549],"domain_scores_gemma":[0.997795,0.0006283217,0.00017020879,0.00057935016,0.00077008846,0.000057029007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015290945,0.0009635634,0.0007632327,0.0006343464,0.0005243969,0.0010120773,0.0010115341,0.0011226279,0.0023478009],"category_scores_gemma":[0.004058715,0.0003847076,0.00085105374,0.00038078212,0.0005446079,0.0015703008,0.0006957518,0.0007919155,0.0008796142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008534325,0.0015966082,0.052185845,0.0002959887,0.00008308463,0.00026252732,0.0003936213,0.674032,0.19212028,0.0013617799,0.001318103,0.07549673],"study_design_scores_gemma":[0.000037516602,0.0004594704,0.009368934,0.000013923903,0.000030304955,0.000051250467,0.00011488304,0.9288249,0.060004953,0.00045120137,0.00060776377,0.00003482355],"about_ca_topic_score_codex":0.004279519,"about_ca_topic_score_gemma":0.0044141556,"teacher_disagreement_score":0.004279519,"about_ca_system_score_codex":0.00068425713,"about_ca_system_score_gemma":0.0009558854,"threshold_uncertainty_score":0.008509219},"labels":[],"label_agreement":null},{"id":"W2530547283","doi":"10.1016/j.renene.2016.10.011","title":"Assessment of hydrokinetic energy resources downstream of hydropower plants","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Hydropower; Hydroelectricity; Rotor (electric); Turbine; Environmental science; Electricity generation; Marine engineering; Mechanics; Flow (mathematics); Flow velocity; Energy (signal processing); Power (physics); Engineering; Mathematics; Mechanical engineering; Physics; Statistics; Electrical engineering","score_opus":0.005291676831037693,"score_gpt":0.2074821701548206,"score_spread":0.2021904933237829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530547283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98837924,0.00004368369,0.004627739,0.00008686478,0.000009709824,0.000102697566,0.00042779758,0.000053500327,0.0062687336],"genre_scores_gemma":[0.9962054,0.000033561457,0.0013499116,0.000008140841,0.0000022951197,0.00002486604,0.00020828145,0.000009497134,0.0021580898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996513,0.000060691375,0.000018994982,0.000054015767,0.0001627758,0.000052271556],"domain_scores_gemma":[0.99947745,0.00017629586,0.000040355502,0.0000284529,0.00021313215,0.00006432158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004985675,0.0005528716,0.0005898637,0.0008581006,0.0009387227,0.0013515977,0.0007034681,0.0010446293,0.0017807448],"category_scores_gemma":[0.0010244908,0.00037065946,0.00058639917,0.000665402,0.0003926376,0.0014280486,0.0009160243,0.00073110056,0.000339782],"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":[0.0018772769,0.00097423285,0.10817319,0.0002692827,0.00016405372,0.0010778953,0.0002221324,0.7686127,0.07032138,0.0043994063,0.00079257734,0.0431159],"study_design_scores_gemma":[0.00013683848,0.0010874062,0.1292568,0.000045023877,0.0000992964,0.00009152028,0.0009065206,0.8155478,0.04832201,0.002893685,0.0015497635,0.000063374784],"about_ca_topic_score_codex":0.016654173,"about_ca_topic_score_gemma":0.0223258,"teacher_disagreement_score":0.016654173,"about_ca_system_score_codex":0.0013462701,"about_ca_system_score_gemma":0.0014920791,"threshold_uncertainty_score":0.033114433},"labels":[],"label_agreement":null},{"id":"W2533047142","doi":"10.1016/j.renene.2016.10.038","title":"Investigating the Power-COE trade-off for wind farm layout optimization considering commercial turbine selection and hub height variation","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":96,"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":"Turbine; Offshore wind power; Wind power; Thrust; Marine engineering; Solver; Power (physics); Flexibility (engineering); Selection (genetic algorithm); MATLAB; Engineering; Mathematical optimization; Computer science; Reliability engineering; Automotive engineering; Mathematics; Mechanical engineering; Statistics; Electrical engineering","score_opus":0.012208685706691107,"score_gpt":0.20951639160895316,"score_spread":0.19730770590226204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533047142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7816217,0.0015954099,0.18869813,0.00066477567,0.00007513456,0.000084899984,0.00017729183,0.00016803,0.02691465],"genre_scores_gemma":[0.9906109,0.00011439064,0.007756899,0.000026410778,0.000011483807,0.000012303888,0.000029460938,0.000036983532,0.0014011071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998331,0.000077016564,0.0000039603974,0.000019802139,0.000034004694,0.00003210764],"domain_scores_gemma":[0.99841356,0.001355055,0.000066500164,0.000033546567,0.000098398195,0.000032876364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007867672,0.0006129567,0.00056971156,0.00043268016,0.00027447354,0.0006917867,0.00046945823,0.0009865011,0.0030586554],"category_scores_gemma":[0.0032783132,0.00048782874,0.00045760046,0.00059659226,0.0002806136,0.00078311074,0.00033042324,0.0004934201,0.0001582754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047049034,0.00002835192,0.0004276269,0.000029860073,0.000015166561,0.000043940006,0.000007774267,0.9941018,0.0008215645,0.0005276661,0.00016152875,0.0037875692],"study_design_scores_gemma":[0.000005394316,0.000034945417,0.00031880356,0.0000026914497,0.000007390868,0.000008070442,0.000010107496,0.9991672,0.00019754775,0.00019594781,0.0000500813,0.0000018202855],"about_ca_topic_score_codex":0.0050906837,"about_ca_topic_score_gemma":0.008810888,"teacher_disagreement_score":0.0050906837,"about_ca_system_score_codex":0.0005664531,"about_ca_system_score_gemma":0.00047971046,"threshold_uncertainty_score":0.010232151},"labels":[],"label_agreement":null},{"id":"W2549498483","doi":"10.1016/j.renene.2016.11.022","title":"A guideline to select an estimation model of daily global solar radiation between geostatistical interpolation and stochastic simulation approaches","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kriging; Interpolation (computer graphics); Artificial neural network; Statistics; Stochastic simulation; Mathematics; Meteorology; Computer science; Environmental science; Geography; Machine learning; Artificial intelligence","score_opus":0.03754263256659029,"score_gpt":0.28005116858878093,"score_spread":0.24250853602219063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549498483","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":[0.0019659414,0.00018311104,0.99105424,0.0009741235,0.000114643924,0.00036507813,0.00049816933,0.0011128096,0.0037317495],"genre_scores_gemma":[0.01943831,0.00029315776,0.97635764,0.00042965382,0.000068907124,0.00045739682,0.00077805226,0.00029608494,0.0018808264],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737823,0.0014148541,0.0003574491,0.00021300136,0.0005500787,0.00008635309],"domain_scores_gemma":[0.9897759,0.0039554667,0.00046047044,0.00083565305,0.0047192187,0.00025317218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005786388,0.0015453862,0.0013426566,0.002303025,0.0010648734,0.0018198132,0.0025706626,0.0032787714,0.0074235224],"category_scores_gemma":[0.025003947,0.0009646721,0.0010351978,0.0014136779,0.00077935605,0.0017209551,0.0013548932,0.0030432614,0.0068980115],"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":[0.0004629268,0.00089424185,0.008689807,0.0019123881,0.00025694596,0.0025625383,0.001009491,0.13454,0.043667395,0.19529729,0.15543047,0.4552766],"study_design_scores_gemma":[0.00039189268,0.00033075977,0.005934281,0.001626517,0.00023686762,0.0013129803,0.0008250708,0.6792679,0.030178264,0.14610454,0.13343124,0.00035960996],"about_ca_topic_score_codex":0.0066207945,"about_ca_topic_score_gemma":0.009980008,"teacher_disagreement_score":0.0074235224,"about_ca_system_score_codex":0.0005834864,"about_ca_system_score_gemma":0.0023364772,"threshold_uncertainty_score":0.03060174},"labels":[],"label_agreement":null},{"id":"W2551571823","doi":"10.1016/j.renene.2016.08.071","title":"The effect of torrefaction on syngas quality metrics from fluidized bed gasification of SRC willow","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":39,"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":"SaskPower; Ministry of Agriculture - Saskatchewan; U.S. Department of Agriculture","keywords":"Torrefaction; Syngas; tar (computing); Pulp and paper industry; Fluidized bed; Waste management; Chemistry; Heat of combustion; Pyrolysis; Materials science; Combustion; Organic chemistry; Catalysis","score_opus":0.00850149472480413,"score_gpt":0.2178136373590551,"score_spread":0.20931214263425096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551571823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897003,0.00022346081,0.00034614743,0.000014483582,0.000011096997,0.000004457181,0.00015662122,0.000017563952,0.00025610602],"genre_scores_gemma":[0.9991702,0.00011386496,0.00023803144,0.000011489178,0.0000024402943,0.000002535226,0.00021142446,0.000008409919,0.00024177435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996551,0.000038100643,0.000032267515,0.00006119294,0.00014877254,0.00006455445],"domain_scores_gemma":[0.9996724,0.000090264206,0.00007129933,0.000020113697,0.00012166329,0.000024287217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004716563,0.00029563255,0.00030848273,0.00023150712,0.000250493,0.00053515966,0.000180687,0.000267764,0.00060819736],"category_scores_gemma":[0.000676321,0.00012733556,0.00037134773,0.00030559298,0.00019873561,0.000501866,0.00022699508,0.00037900155,0.00012106313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012636954,0.00006230763,0.0041562454,0.00006382799,0.000042567215,0.00007402475,0.000048360762,0.0012760237,0.985327,0.00003820266,0.000085347776,0.007562325],"study_design_scores_gemma":[0.0000056388335,0.0004851906,0.017787294,0.000003404596,0.000030298077,0.000026122185,0.00005818981,0.0021114748,0.97925204,0.00001155644,0.00022009478,0.000008631353],"about_ca_topic_score_codex":0.0037751014,"about_ca_topic_score_gemma":0.007974174,"teacher_disagreement_score":0.0037751014,"about_ca_system_score_codex":0.00034608596,"about_ca_system_score_gemma":0.00021069957,"threshold_uncertainty_score":0.0075062513},"labels":[],"label_agreement":null},{"id":"W2581618549","doi":"10.1016/j.renene.2017.01.058","title":"Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Interdependence; Bayesian network; Biodiesel; Risk analysis (engineering); Risk assessment; Computer science; Engineering; Business; Machine learning; Computer security","score_opus":0.01356348235845309,"score_gpt":0.22224777764176398,"score_spread":0.2086842952833109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581618549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009978354,0.00011633004,0.9884543,0.00009791003,0.000015360947,0.00002127046,0.000115423536,0.000296006,0.0009049577],"genre_scores_gemma":[0.7001161,0.00056235807,0.2954454,0.00009152489,0.000083158746,0.00024597943,0.0008712939,0.0002542979,0.0023298962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988317,0.0005976588,0.000067115834,0.0001918028,0.00024277544,0.00006895524],"domain_scores_gemma":[0.9959603,0.0030957388,0.00033471975,0.00021370927,0.00033822376,0.000057316356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002891883,0.001268519,0.001555575,0.001776586,0.00047910653,0.0014076378,0.0015498409,0.0013933921,0.0030077342],"category_scores_gemma":[0.010569761,0.0009842569,0.0014369135,0.0011931838,0.0005722108,0.0019324815,0.0012771288,0.0017782612,0.0005974982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003254297,0.00004732293,0.0006015512,0.00003796098,0.000076593824,0.000032016935,0.000033712036,0.9732491,0.0005266775,0.00747659,0.00014168712,0.017744213],"study_design_scores_gemma":[0.0000016310087,0.0000037496156,0.000066588385,0.0000031847471,0.0000062027407,0.0000030259914,0.0000019220324,0.99580437,0.00008613538,0.003937286,0.00008265046,0.0000032057303],"about_ca_topic_score_codex":0.01226422,"about_ca_topic_score_gemma":0.01472826,"teacher_disagreement_score":0.01226422,"about_ca_system_score_codex":0.001032061,"about_ca_system_score_gemma":0.0013286752,"threshold_uncertainty_score":0.02438569},"labels":[],"label_agreement":null},{"id":"W2588583407","doi":"10.1016/j.renene.2017.01.066","title":"Optimal design of electric vehicle charging stations considering various energy resources","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":207,"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":"Umm Al-Qura University","keywords":"Electric vehicle; Microgrid; Charging station; Renewable energy; Grid; Automotive engineering; Engineering; Electrical engineering; Power (physics)","score_opus":0.009650043034178015,"score_gpt":0.19887271615966173,"score_spread":0.18922267312548371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588583407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16444187,0.00074332574,0.773184,0.00076169125,0.00021354808,0.0003399246,0.00033614543,0.00031101578,0.05966845],"genre_scores_gemma":[0.97117203,0.00023698225,0.021170763,0.000050909428,0.000031302894,0.00011560127,0.000075217584,0.00003993176,0.007107343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995353,0.00016435476,0.000012773992,0.00007913038,0.000079581056,0.00012893023],"domain_scores_gemma":[0.9993812,0.00032308814,0.0000743065,0.000024740353,0.0001365144,0.000060048325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089799584,0.0012256217,0.0014756528,0.0009448814,0.00076815346,0.0027478612,0.0014880615,0.0020219213,0.006428355],"category_scores_gemma":[0.0024397378,0.0014299189,0.0009505579,0.0011084118,0.000824923,0.0010620801,0.0008590868,0.00094148726,0.000532294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006443547,0.000026306901,0.00016206,0.000040428036,0.000020437446,0.000044594428,0.000022358081,0.99084103,0.0007381852,0.00382422,0.0002758732,0.003940004],"study_design_scores_gemma":[0.000023637504,0.000047878202,0.00012749028,0.0000073964125,0.000018989644,0.0000107556425,0.000042498355,0.99660754,0.00042253718,0.002260179,0.00042387695,0.0000072203215],"about_ca_topic_score_codex":0.008388101,"about_ca_topic_score_gemma":0.00858075,"teacher_disagreement_score":0.008388101,"about_ca_system_score_codex":0.001767352,"about_ca_system_score_gemma":0.0019176806,"threshold_uncertainty_score":0.021504998},"labels":[],"label_agreement":null},{"id":"W2597556869","doi":"10.1016/j.renene.2017.03.062","title":"Turbulence dissipation rates from horizontal velocity profiles at mid-depth in fast tidal flows","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","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 Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Dissipation; Turbulence kinetic energy; Turbulence; Advection; Acoustic Doppler current profiler; Geology; Physics; Geodesy; Meteorology; Oceanography; Current (fluid)","score_opus":0.01976262892912126,"score_gpt":0.24860720695348013,"score_spread":0.22884457802435887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597556869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981944,0.0000583844,0.00080567284,0.000013882065,0.0000048433926,0.0000046041855,0.00019443192,0.000025585628,0.0006981274],"genre_scores_gemma":[0.99954766,0.000031356438,0.00016514915,0.0000020373038,0.000002084557,0.0000016123256,0.00012514305,0.0000065661634,0.00011842782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992645,0.000008248692,0.0000069115817,0.00001325925,0.000015649533,0.000029567658],"domain_scores_gemma":[0.9993186,0.00031983436,0.00012997485,0.000048706883,0.00009472362,0.00008821039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027802752,0.00033723176,0.00018708379,0.0010068029,0.0002645605,0.00063520274,0.00021553822,0.00034326137,0.0009800703],"category_scores_gemma":[0.0018845272,0.00031749727,0.00030571653,0.0005300069,0.00034057754,0.000785383,0.00040471,0.00039614766,0.00020385298],"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":[0.003099898,0.00048488483,0.6188966,0.00021958971,0.0001755604,0.0007764778,0.001074301,0.1778925,0.116919145,0.0036290316,0.0011683545,0.07566367],"study_design_scores_gemma":[0.000035311063,0.000111844056,0.8610843,0.000029678573,0.000029494438,0.00008253693,0.0001661072,0.12979135,0.008052296,0.00039122216,0.0001766156,0.000049264425],"about_ca_topic_score_codex":0.009698047,"about_ca_topic_score_gemma":0.007012762,"teacher_disagreement_score":0.009698047,"about_ca_system_score_codex":0.000328861,"about_ca_system_score_gemma":0.00021703477,"threshold_uncertainty_score":0.019283175},"labels":[],"label_agreement":null},{"id":"W2602886582","doi":"10.1016/j.renene.2017.03.031","title":"Quantifying economic risk in photovoltaic power projects","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","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":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Photovoltaic system; Tariff; Revenue; Electricity; Internal rate of return; Variable cost; Investment (military); Environmental economics; Economics; Business; Production (economics); Finance; Engineering; Microeconomics","score_opus":0.04608038569730613,"score_gpt":0.2458025682214041,"score_spread":0.19972218252409796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602886582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77465355,0.0012063184,0.21547565,0.0011073821,0.000035611138,0.000034883615,0.000121667676,0.000071489616,0.007293363],"genre_scores_gemma":[0.9961816,0.00021392277,0.0028907296,0.000011709637,0.000015252871,0.0000068118784,0.000028450959,0.000007687193,0.0006438772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989905,0.00057783636,0.000050941067,0.00009764836,0.00017656002,0.000106435094],"domain_scores_gemma":[0.9912839,0.0068657864,0.0010547749,0.00025732082,0.00034912658,0.00018910313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003382634,0.0006069315,0.00053637376,0.0008745281,0.00026351732,0.00214324,0.000640198,0.0012386221,0.0008059922],"category_scores_gemma":[0.017048577,0.00039035556,0.0004419155,0.00089470006,0.00092050125,0.0024306886,0.0011939189,0.0010061307,0.000059026508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005962779,0.000044532662,0.015271747,0.000041678464,0.00007370236,0.00017129074,0.000078010715,0.898561,0.000803877,0.07364191,0.00027060873,0.010982007],"study_design_scores_gemma":[0.0000063324146,0.00004185173,0.00562713,0.000020990456,0.00002875646,0.00006149594,0.00008206614,0.9099676,0.0007593627,0.08301196,0.00037240513,0.00002014905],"about_ca_topic_score_codex":0.0030144604,"about_ca_topic_score_gemma":0.0022732485,"teacher_disagreement_score":0.003382634,"about_ca_system_score_codex":0.0013561377,"about_ca_system_score_gemma":0.0005838719,"threshold_uncertainty_score":0.01788932},"labels":[],"label_agreement":null},{"id":"W2613544247","doi":"10.1016/j.renene.2017.05.005","title":"Understanding support and opposition to wind turbine development in Ontario, Canada and assessing possible steps for future development","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Opposition (politics); Wind power; Interview; Turbine; Political science; Environmental planning; Political economy; Engineering; Economic growth; Sociology; Economics; Law; Environmental science; Politics","score_opus":0.05595252132672219,"score_gpt":0.2851127859960297,"score_spread":0.2291602646693075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613544247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97917444,0.00051456125,0.00011764084,0.0058942023,0.00001953126,0.000028348846,0.00043739754,0.000004769018,0.01380917],"genre_scores_gemma":[0.9959508,0.00041492502,0.000099086785,0.000210058,0.000003895427,0.0000121985395,0.00010756107,0.00000287296,0.003198541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980901,0.00021109461,0.00007128226,0.000100695936,0.00064453663,0.0008823174],"domain_scores_gemma":[0.9932747,0.0009745306,0.0010579217,0.000097120406,0.0025393872,0.0020562732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013620926,0.00016734928,0.0003223028,0.0011479805,0.008432567,0.0030342776,0.0012432697,0.00072557945,0.0029074552],"category_scores_gemma":[0.0052726534,0.00026901092,0.00033843037,0.0029548935,0.0029934978,0.0010276341,0.0017107893,0.0015723425,0.000118015494],"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":[0.00015050752,0.00012655549,0.86458397,0.00017881276,0.00007796366,0.0007158866,0.080114245,0.000750154,0.0006116539,0.01192061,0.0070722387,0.033697437],"study_design_scores_gemma":[0.000015155086,0.000031614,0.83372074,0.0001811687,0.000032628548,0.000060692422,0.14603096,0.00071864144,0.00018651396,0.0006051678,0.018371457,0.00004531987],"about_ca_topic_score_codex":0.9985684,"about_ca_topic_score_gemma":0.9995859,"teacher_disagreement_score":0.07853323,"about_ca_system_score_codex":0.07853323,"about_ca_system_score_gemma":0.13630326,"threshold_uncertainty_score":0.56980115},"labels":[],"label_agreement":null},{"id":"W261494963","doi":"10.1016/j.renene.2015.03.073","title":"Integrating solar energy into an urban small-scale anaerobic digester for improved performance","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Building Energy and Comfort Optimization","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":"Concordia University","funders":"","keywords":"Environmental science; Daylight; Roof; Biogas; Meteorology; Environmental engineering; Greenhouse; Solar energy; Heat pump; Thermosiphon; Heat transfer; Waste management; Atmospheric sciences; Marine engineering; Engineering; Mechanical engineering; Mechanics; Civil engineering; Heat exchanger; Geography; Electrical engineering; Physics","score_opus":0.011338338045001395,"score_gpt":0.19225939016595367,"score_spread":0.18092105212095227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W261494963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98822916,0.00012422066,0.010163064,0.00004854777,0.00002626657,0.000026296724,0.00009567434,0.00013955894,0.0011472281],"genre_scores_gemma":[0.9915276,0.00009890974,0.007008656,0.00001238043,0.000004489633,0.000016411057,0.000069767724,0.000019236966,0.00124259],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999058,0.000013241866,0.000006532732,0.00002619108,0.000030342806,0.00001781983],"domain_scores_gemma":[0.99994695,0.000014575296,0.000007055873,0.0000062586137,0.00001461215,0.000010495169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017209142,0.0003190332,0.00045997676,0.00020021609,0.00041071934,0.0005622451,0.0005133861,0.00032748436,0.0011880187],"category_scores_gemma":[0.00013956046,0.00017836245,0.0003792627,0.00033952846,0.000113195085,0.0003151276,0.00025509493,0.00034828336,0.000284426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007829165,0.0007111001,0.0031694395,0.00014605583,0.000038606904,0.000097401484,0.000041937583,0.0118296435,0.957781,0.00014783641,0.00031522437,0.024938906],"study_design_scores_gemma":[0.00012737908,0.00094921316,0.0105747515,0.000007811536,0.00011277276,0.00009896123,0.00013244811,0.08544486,0.8991116,0.00012795768,0.0032825086,0.00002984165],"about_ca_topic_score_codex":0.0022068995,"about_ca_topic_score_gemma":0.0062828753,"teacher_disagreement_score":0.0022068995,"about_ca_system_score_codex":0.00032796396,"about_ca_system_score_gemma":0.00037713244,"threshold_uncertainty_score":0.0043881536},"labels":[],"label_agreement":null},{"id":"W2737792456","doi":"10.1016/j.renene.2017.07.080","title":"Utilization of by-product glycerol from bio-diesel plants as feedstock for 2,3-butanediol accumulation and biosynthesis genes response of Klebsiella variicola SW3","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","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; Western University; Lakehead University","funders":"BioFuelNet Canada","keywords":"Glycerol; 2,3-Butanediol; Bioconversion; Biodiesel; Biochemistry; Biodiesel production; Chemistry; Biosynthesis; Food science; Product inhibition; Dehydrogenase; Biotransformation; By-product; Enzyme; Fermentation; Catalysis; Non-competitive inhibition","score_opus":0.02363418006477334,"score_gpt":0.27132200467271766,"score_spread":0.24768782460794433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737792456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997592,0.00022601223,0.0008403478,0.000059822265,0.000013707374,0.000014471439,0.0006265121,0.00003384696,0.0005933001],"genre_scores_gemma":[0.9942503,0.00017166277,0.0012802214,0.000027439288,0.0000020416026,0.000019304734,0.0018502523,0.000029764022,0.002369004],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998369,0.000019627249,0.000017698072,0.000035295878,0.000043624597,0.000046828653],"domain_scores_gemma":[0.99989295,0.000022502854,0.000017280972,0.000012166663,0.000027159549,0.000027882137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013082592,0.0006192579,0.00031951506,0.00026142027,0.00020016856,0.00036441477,0.00030919467,0.0002541174,0.00075164327],"category_scores_gemma":[0.00014817661,0.00018605449,0.00039142973,0.0003443494,0.00017764195,0.00026919,0.0003124564,0.00039561535,0.00036274877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012443693,0.00002120084,0.0001701948,0.00001918651,0.000002405294,0.000025597228,0.00001515981,0.000043693843,0.99907744,0.000018146322,0.000010392579,0.00047204838],"study_design_scores_gemma":[0.0000051002685,0.00010628255,0.0027431864,0.000002737177,0.0000108949425,0.00004806501,0.000071665505,0.00038514193,0.99624854,0.000024071349,0.0003487482,0.0000054936395],"about_ca_topic_score_codex":0.004789768,"about_ca_topic_score_gemma":0.0060437396,"teacher_disagreement_score":0.004789768,"about_ca_system_score_codex":0.00046922197,"about_ca_system_score_gemma":0.00048379923,"threshold_uncertainty_score":0.009523809},"labels":[],"label_agreement":null},{"id":"W2747221121","doi":"10.1016/j.renene.2017.08.026","title":"Wind and tornado climatologies and wind resource modelling for a modern development situated in “Tornado Alley”","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind and Air Flow Studies","field":"Environmental Science","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":"Western University","funders":"","keywords":"Tornado; Wind speed; Meteorology; Environmental science; Maximum sustained wind; Wind power; Situated; Climatology; Wind direction; Geography; Engineering; Geology; Wind gradient; Computer science","score_opus":0.023345790823348804,"score_gpt":0.22292941774965613,"score_spread":0.19958362692630732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747221121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922856,0.00010812653,0.0026642298,0.000296318,0.000019457031,0.000015381565,0.0006367817,0.000041634325,0.0039325547],"genre_scores_gemma":[0.9962907,0.00010831869,0.0018328046,0.00001043426,0.0000067637675,0.000021328318,0.00036502027,0.000017097855,0.00134763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995315,0.000014362586,0.0000025300076,0.000009539866,0.0000046723667,0.000015829099],"domain_scores_gemma":[0.99986637,0.00005525478,0.000016333888,0.000010850128,0.000027960397,0.000023170061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014456418,0.00029875577,0.00021134804,0.0003112612,0.000502122,0.0007541821,0.00042840277,0.0006003438,0.0013950247],"category_scores_gemma":[0.0004696245,0.00020825528,0.00035936406,0.00063866714,0.00028340283,0.0006934045,0.00026938616,0.0005542987,0.00013841357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001513531,0.00017934278,0.09667922,0.000082131744,0.00005545807,0.0007878826,0.00051938347,0.8770113,0.0012761051,0.0073366705,0.0022696701,0.013651347],"study_design_scores_gemma":[0.0000185987,0.00004199268,0.054713912,0.000022567787,0.000026937845,0.00006951998,0.0014172633,0.93926716,0.00040651296,0.0010609664,0.0029204472,0.000034166318],"about_ca_topic_score_codex":0.19859432,"about_ca_topic_score_gemma":0.20742185,"teacher_disagreement_score":0.19859432,"about_ca_system_score_codex":0.0010370372,"about_ca_system_score_gemma":0.0011040054,"threshold_uncertainty_score":0.39487678},"labels":[],"label_agreement":null},{"id":"W2761201460","doi":"10.1016/j.renene.2017.09.090","title":"Comparison of heat sink and water type PV/T collector for polycrystalline photovoltaic panel cooling","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Western University","funders":"","keywords":"Heat sink; Fin; Materials science; Wind speed; Photovoltaic system; Halogen lamp; Meteorology; Electrical engineering; Composite material; Physics; Engineering","score_opus":0.05766784244250989,"score_gpt":0.2931595106480831,"score_spread":0.2354916682055732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761201460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742656,0.0015707749,0.0141365435,0.00009860919,0.00016338857,0.00009304168,0.000804473,0.00024549972,0.008621966],"genre_scores_gemma":[0.9926682,0.00046694218,0.0030898098,0.0000203016,0.000014214926,0.000033836113,0.00030763724,0.00006662081,0.0033325993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985313,0.000020310608,0.0000051961974,0.000036090845,0.000059396647,0.00002582048],"domain_scores_gemma":[0.9995863,0.00012241567,0.000023654042,0.00003248593,0.00021764633,0.00001734547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028339174,0.00020909013,0.00041115886,0.00024517023,0.00039228366,0.00041822955,0.0006749179,0.00034424962,0.004300364],"category_scores_gemma":[0.00066004,0.00014677826,0.00041151096,0.00041000225,0.00014232949,0.0007487715,0.0001621322,0.0002438689,0.0003905722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046369717,0.00020890325,0.009355762,0.0015825348,0.00017121031,0.00029727502,0.00033222255,0.015089789,0.8850635,0.0015797865,0.0041218665,0.07756022],"study_design_scores_gemma":[0.00016269344,0.00260986,0.041324116,0.00008059048,0.00035045462,0.00027025177,0.0004437432,0.040800147,0.90039575,0.00030601525,0.0132096885,0.000046637124],"about_ca_topic_score_codex":0.0022554477,"about_ca_topic_score_gemma":0.006991582,"teacher_disagreement_score":0.004300364,"about_ca_system_score_codex":0.00034344045,"about_ca_system_score_gemma":0.0004884637,"threshold_uncertainty_score":0.014386117},"labels":[],"label_agreement":null},{"id":"W2770959897","doi":"10.1016/j.renene.2017.11.022","title":"A novel process economics risk model applied to biodiesel production system","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":23,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiesel production; Economics; Biodiesel; Vector autoregression; Process (computing); Production (economics); Econometrics; Engineering; Computer science; Microeconomics","score_opus":0.01731865453637513,"score_gpt":0.21211144406945015,"score_spread":0.19479278953307502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770959897","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07360368,0.001068945,0.89447546,0.0013216349,0.00025267774,0.00016554723,0.00037031842,0.0003404508,0.028401263],"genre_scores_gemma":[0.9552642,0.0006640611,0.019917455,0.00015796664,0.00012101747,0.00017027814,0.00018652574,0.00009998915,0.02341845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960786,0.00012806238,0.000019145995,0.00007704358,0.00008591358,0.0000819385],"domain_scores_gemma":[0.9993414,0.00035082686,0.00008306111,0.000028141192,0.00014065175,0.000055891942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011352478,0.0010380608,0.0015610742,0.0006000881,0.00064742815,0.001924385,0.0017808719,0.0021326554,0.0048673665],"category_scores_gemma":[0.002084821,0.0005232103,0.0012753638,0.0005567998,0.00067599904,0.0017040905,0.0014138961,0.0018501494,0.00042545528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002469981,0.000030414827,0.00030797464,0.000033219036,0.000022859105,0.00010465247,0.00002377583,0.9746279,0.0006253631,0.020347226,0.00047861403,0.0033732124],"study_design_scores_gemma":[0.0000038607423,0.0000064866917,0.00004747031,0.0000019850781,0.0000056338063,0.000008338392,0.0000033507413,0.9974722,0.000043715183,0.0022411372,0.00016219376,0.0000035626128],"about_ca_topic_score_codex":0.012440024,"about_ca_topic_score_gemma":0.00533997,"teacher_disagreement_score":0.012440024,"about_ca_system_score_codex":0.0014958171,"about_ca_system_score_gemma":0.0017489984,"threshold_uncertainty_score":0.024735212},"labels":[],"label_agreement":null},{"id":"W2780441985","doi":"10.1016/j.renene.2017.12.079","title":"Design of pico-hydro turbine generator systems for self-powered electrochemical water disinfection devices","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":21,"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":"Turbine; Generator (circuit theory); Water turbine; Water disinfection; Environmental science; Electrochemistry; Environmental engineering; Electrical engineering; Engineering; Chemistry; Mechanical engineering; Physics; Power (physics); Electrode","score_opus":0.010755625990909247,"score_gpt":0.21276349914759607,"score_spread":0.20200787315668683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780441985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39624736,0.0016609413,0.57428396,0.000451363,0.0003262371,0.0005675291,0.00036309427,0.0014890556,0.024610458],"genre_scores_gemma":[0.97439504,0.00015677096,0.021500014,0.000039937862,0.000023912255,0.00012568006,0.0000768983,0.00002725282,0.0036543626],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998889,0.000020516374,0.0000072873463,0.000028861512,0.000039173985,0.000015200422],"domain_scores_gemma":[0.99988747,0.000022016198,0.00002172547,0.000011253441,0.00004637127,0.000011188763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015660007,0.00032504636,0.00039899393,0.00023504392,0.00037535393,0.0005219454,0.00092828396,0.00036286135,0.0025917115],"category_scores_gemma":[0.00022301605,0.00024433507,0.00021099168,0.00011372229,0.00016018892,0.0003336816,0.00028238734,0.00018621582,0.00049605087],"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":[0.000916705,0.00033522403,0.004317065,0.0012597977,0.00018363321,0.0006770607,0.0002777674,0.17185986,0.5945818,0.01029092,0.006080871,0.20921932],"study_design_scores_gemma":[0.0001713788,0.0015048234,0.0076001547,0.00004459148,0.00010026933,0.0005052884,0.00011546996,0.7291092,0.2349613,0.0018641747,0.023972515,0.00005079314],"about_ca_topic_score_codex":0.00043634293,"about_ca_topic_score_gemma":0.0013233874,"teacher_disagreement_score":0.0025917115,"about_ca_system_score_codex":0.00032511796,"about_ca_system_score_gemma":0.00033846582,"threshold_uncertainty_score":0.008670092},"labels":[],"label_agreement":null},{"id":"W2781103774","doi":"10.1016/j.renene.2017.12.092","title":"A block matrix formulation for efficient g-function construction","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":30,"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":"","keywords":"Matrix (chemical analysis); Block (permutation group theory); Laplace transform; Mathematical optimization; Function (biology); Mathematics; Applied mathematics; Algorithm; Computer science; Mathematical analysis; Geometry; Materials science","score_opus":0.013142074575599738,"score_gpt":0.24527138386709801,"score_spread":0.23212930929149828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781103774","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009081165,0.00006306221,0.99561864,0.00010076735,0.000042197644,0.00002647694,0.00012127039,0.00013809971,0.0029813047],"genre_scores_gemma":[0.06363066,0.0004216388,0.92110515,0.00022977311,0.00013714559,0.00033510092,0.00074766023,0.0005242285,0.012868649],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996351,0.00015265407,0.000014176919,0.000034621986,0.00012911315,0.000034372613],"domain_scores_gemma":[0.99937844,0.00031774593,0.000028841772,0.00010111142,0.00014210532,0.000031678665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005906761,0.0012762522,0.00081366854,0.0005995839,0.0004614864,0.00091752934,0.0012205202,0.0012920309,0.016145758],"category_scores_gemma":[0.0022809163,0.0004870858,0.00080153084,0.0010868809,0.0005226668,0.0010695757,0.0011167359,0.001817855,0.007912429],"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":[0.00009004913,0.0001328945,0.00025442665,0.00026739977,0.000045632107,0.00021924949,0.00010995866,0.3820395,0.0108749345,0.39681542,0.027611135,0.18153945],"study_design_scores_gemma":[0.000014061415,0.000028385475,0.000048506998,0.000015142213,0.000008650552,0.000043554894,0.00001755611,0.9162325,0.0013739606,0.0731085,0.009099071,0.0000100351235],"about_ca_topic_score_codex":0.0037864936,"about_ca_topic_score_gemma":0.006564992,"teacher_disagreement_score":0.016145758,"about_ca_system_score_codex":0.0004561511,"about_ca_system_score_gemma":0.0009999169,"threshold_uncertainty_score":0.054012954},"labels":[],"label_agreement":null},{"id":"W2789490445","doi":"10.1016/j.renene.2018.02.062","title":"Heat transfer network for a parabolic trough collector as a heat collecting element using nanofluid","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Toronto Metropolitan University; Concordia University","funders":"National Natural Science Foundation of China","keywords":"Parabolic trough; Nanofluid; Heat transfer; Mechanics; Materials science; Heat transfer coefficient; Convective heat transfer; Control volume; Thermodynamics; Nanofluids in solar collectors; Finite element method; Thermal; Physics; Photovoltaic thermal hybrid solar collector","score_opus":0.030397402273268488,"score_gpt":0.2628685365317756,"score_spread":0.23247113425850713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789490445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90094036,0.00022910349,0.08616426,0.00026804177,0.0001049968,0.00008267326,0.00019030896,0.00085340027,0.011166773],"genre_scores_gemma":[0.9898488,0.000039428167,0.006965531,0.00001320959,0.0000060763796,0.000025054132,0.00003465918,0.000009363046,0.0030579276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999248,0.000007340718,0.0000028027562,0.000026371335,0.000027220312,0.0000114849445],"domain_scores_gemma":[0.99992776,0.00001552808,0.000013533593,0.000007834488,0.000026810752,0.00000844628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009580349,0.00014158095,0.00021692264,0.00019949369,0.0005576531,0.00032822922,0.0005948047,0.00026226733,0.0018647522],"category_scores_gemma":[0.00015477001,0.00013462629,0.00017011636,0.0001837788,0.00018658035,0.00033739992,0.00024929646,0.00015300742,0.00027584264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043153745,0.00014321787,0.0019616592,0.0001441832,0.000027571747,0.00012419568,0.00014936052,0.041949905,0.9238433,0.004116356,0.0015434317,0.025565408],"study_design_scores_gemma":[0.000036126447,0.0006540263,0.002705844,0.000014701362,0.0000415361,0.000055441582,0.00008198909,0.5255165,0.46590808,0.00076840963,0.00418827,0.000029024428],"about_ca_topic_score_codex":0.0019224791,"about_ca_topic_score_gemma":0.0031364483,"teacher_disagreement_score":0.0019224791,"about_ca_system_score_codex":0.0006926024,"about_ca_system_score_gemma":0.0004544266,"threshold_uncertainty_score":0.006238222},"labels":[],"label_agreement":null},{"id":"W2789682467","doi":"10.1016/j.renene.2018.02.119","title":"Nano-PCM filled energy storage system for solar-thermal applications","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials Research","field":"Engineering","cited_by":159,"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":"Enclosure; Thermal energy storage; Phase-change material; Rayleigh number; Materials science; Nusselt number; Fourier number; Mechanics; Thermodynamics; Heat transfer; Heat flux; Thermal; Natural convection; Reynolds number; Physics; Engineering; Electrical engineering","score_opus":0.019054597386716214,"score_gpt":0.2448422106685347,"score_spread":0.22578761328181848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789682467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694272,0.0020484894,0.01842183,0.00035154296,0.00060766086,0.0000661703,0.0013972928,0.0007158971,0.006963941],"genre_scores_gemma":[0.98946756,0.00039540665,0.005047545,0.00007285911,0.00002934902,0.00003508858,0.00032589538,0.000022240425,0.0046040714],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999629,0.0000030306292,0.0000028833233,0.000009798902,0.000016140995,0.0000053085414],"domain_scores_gemma":[0.99996936,0.0000039640736,0.000002873731,0.000003723164,0.000014095028,0.000006065405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004598702,0.00015140891,0.00031890307,0.00013614314,0.0002940516,0.0002406596,0.00027370575,0.00020820227,0.0035335685],"category_scores_gemma":[0.00006499289,0.00007301751,0.00015826621,0.00018842806,0.00008139706,0.0005644783,0.00016917702,0.00023177722,0.0005234775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027845424,0.000099378856,0.00031540426,0.00031876413,0.0000116419615,0.00011839069,0.000026869435,0.0006875535,0.9733708,0.0008167158,0.0012802045,0.022675768],"study_design_scores_gemma":[0.000025290774,0.00022536112,0.0010863276,0.000010468114,0.000019846166,0.00011502924,0.000044195473,0.009803128,0.9816405,0.00031388176,0.006705528,0.000010377739],"about_ca_topic_score_codex":0.00026765984,"about_ca_topic_score_gemma":0.00089591055,"teacher_disagreement_score":0.0035335685,"about_ca_system_score_codex":0.00014827329,"about_ca_system_score_gemma":0.0001730702,"threshold_uncertainty_score":0.011820972},"labels":[],"label_agreement":null},{"id":"W2790762158","doi":"10.1016/j.renene.2018.02.128","title":"Coal-to-biomass retrofit in Alberta –value of forest residue bioenergy in the electricity system","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"British Columbia Institute of Technology; University of Victoria","funders":"Pacific Institute for Climate Solutions","keywords":"Cost of electricity by source; Renewable energy; Bioenergy; Coal; Environmental science; Greenhouse gas; Biomass (ecology); Electricity generation; Fossil fuel; Electricity; Waste management; Engineering; Ecology; Power (physics)","score_opus":0.005049887274014045,"score_gpt":0.19114819256803922,"score_spread":0.18609830529402518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790762158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901798,0.00022084487,0.0006422584,0.00027549223,0.000015735764,0.000015073523,0.00039772043,0.000026167578,0.008227091],"genre_scores_gemma":[0.99625385,0.00009960038,0.00024779694,0.000015463385,0.0000024034214,0.0000013225443,0.0001888928,0.0000072064936,0.0031834862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997824,0.000040779676,0.000006413154,0.000021306209,0.000080020414,0.000069182715],"domain_scores_gemma":[0.9997658,0.000047156682,0.000019361352,0.000010827268,0.00011708068,0.00003984423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047063956,0.00033076486,0.00025085124,0.0004722983,0.0007202111,0.0015517628,0.0008286099,0.00052369083,0.0024912602],"category_scores_gemma":[0.0005974652,0.0001669354,0.00039219018,0.0008077679,0.00039905956,0.00059391133,0.0003344587,0.0005837206,0.00013569446],"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":[0.0024966951,0.0005365383,0.1400297,0.00018372976,0.00027227038,0.0024245856,0.00019415986,0.7616881,0.016050667,0.016113548,0.00482111,0.05518893],"study_design_scores_gemma":[0.00017863551,0.00043809408,0.25382984,0.000065964414,0.0003111495,0.00027056632,0.0033271436,0.69960093,0.019614747,0.006049259,0.01620993,0.000103770166],"about_ca_topic_score_codex":0.84223294,"about_ca_topic_score_gemma":0.93168783,"teacher_disagreement_score":0.15776706,"about_ca_system_score_codex":0.010911098,"about_ca_system_score_gemma":0.007344964,"threshold_uncertainty_score":0.3173923},"labels":[],"label_agreement":null},{"id":"W2791807939","doi":"10.1016/j.renene.2018.02.106","title":"Multi-objective optimization of simultaneous saccharification and fermentation for cellulosic ethanol production","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":21,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellulosic ethanol; Ethanol fuel; Cellulose; Yield (engineering); Fermentation; Pulp and paper industry; Hydrolysis; Sorting; Chemistry; Cellulase; Multi-objective optimization; Enzymatic hydrolysis; Biotechnology; Mathematics; Biochemistry; Engineering; Materials science; Mathematical optimization; Algorithm; Biology","score_opus":0.012935777841071808,"score_gpt":0.22167218893530022,"score_spread":0.2087364110942284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791807939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8009414,0.0020202184,0.1862931,0.00040491277,0.00012317748,0.00018654436,0.0003066965,0.00022401809,0.009499905],"genre_scores_gemma":[0.9724185,0.000352431,0.025158444,0.000038621,0.000015724521,0.00012591062,0.00012991934,0.000025484454,0.001734952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996871,0.00011944038,0.000018808294,0.000046601526,0.000060760958,0.00006732722],"domain_scores_gemma":[0.99961346,0.00023828744,0.00004704372,0.00001194337,0.00005560609,0.00003360569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010393165,0.0015618162,0.0013544713,0.0009838162,0.0005010525,0.0014901835,0.00076681434,0.0012571968,0.0014411543],"category_scores_gemma":[0.0011745476,0.0006755444,0.0014070885,0.0007170543,0.000409662,0.0006335603,0.00081737374,0.00077560346,0.00016353391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006770971,0.00008800157,0.00025848084,0.000046147026,0.000044530087,0.000029982572,0.0000092520895,0.99352264,0.0014347207,0.0002268066,0.00007008092,0.0042015505],"study_design_scores_gemma":[0.000014115844,0.00008113206,0.0002185197,0.0000035293954,0.000017100758,0.000003749666,0.000010489615,0.99855083,0.00088964845,0.00011672536,0.00008988065,0.0000041596595],"about_ca_topic_score_codex":0.0108911805,"about_ca_topic_score_gemma":0.00917516,"teacher_disagreement_score":0.0108911805,"about_ca_system_score_codex":0.0009940085,"about_ca_system_score_gemma":0.001241694,"threshold_uncertainty_score":0.02165556},"labels":[],"label_agreement":null},{"id":"W2792211322","doi":"10.1016/j.renene.2018.02.059","title":"GHG-mitigation oriented and coal-consumption constrained inexact robust model for regional energy structure adjustment – A case study for Jiangsu Province, China","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Power System Optimization","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 Regina","funders":"National Natural Science Foundation of China","keywords":"Coal; Greenhouse gas; Stochastic programming; Renewable energy; Environmental economics; Consumption (sociology); Energy consumption; Wind power; Electricity; Environmental science; Electricity generation; Investment (military); Natural resource economics; Economics; Power (physics); Engineering; Mathematical optimization; Waste management; Mathematics","score_opus":0.012970330250265004,"score_gpt":0.22075631681819743,"score_spread":0.20778598656793243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792211322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8575065,0.0005183675,0.12046843,0.00069412024,0.00008075887,0.000111788926,0.000844466,0.00049927045,0.019276297],"genre_scores_gemma":[0.99244964,0.00007156666,0.003686553,0.000019321204,0.0000073335227,0.000029478828,0.00017062885,0.000023452818,0.003541924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997603,0.000073174575,0.0000092786295,0.000055429835,0.000037528924,0.00006418633],"domain_scores_gemma":[0.99959797,0.00019389299,0.00005192669,0.000029304914,0.00009191757,0.000035000947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008091346,0.0009315539,0.0010871994,0.0004169893,0.0007739655,0.001346515,0.0013108298,0.002009662,0.0023932946],"category_scores_gemma":[0.0011153856,0.00051395723,0.0009286556,0.0005704639,0.00084755645,0.0006405846,0.00084724685,0.0009595522,0.00016018037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024929197,0.000013999917,0.0003637772,0.000011933608,0.000009208668,0.000083080435,0.000009718031,0.99791104,0.0001617105,0.0004929132,0.00012418868,0.0007934864],"study_design_scores_gemma":[0.000010377587,0.000018225535,0.00037135868,0.0000013784664,0.0000081024555,0.0000061563032,0.000018077426,0.99910444,0.00008623032,0.00024645386,0.00012519916,0.0000039262304],"about_ca_topic_score_codex":0.19536683,"about_ca_topic_score_gemma":0.1158605,"teacher_disagreement_score":0.19536683,"about_ca_system_score_codex":0.001703732,"about_ca_system_score_gemma":0.0026600675,"threshold_uncertainty_score":0.38845932},"labels":[],"label_agreement":null},{"id":"W2792635424","doi":"10.1016/j.renene.2018.02.066","title":"Analyzing the performance of clean development mechanism for electric power systems under uncertain environment","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Water resources management and optimization","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 Toronto; University of Regina","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Renewable energy; Environmental economics; Clean Development Mechanism; Wind power; Sustainable development; Electricity generation; Electric power system; Greenhouse gas; Risk analysis (engineering); Engineering; Business; Power (physics); Economics","score_opus":0.008499562271113877,"score_gpt":0.1728106786569983,"score_spread":0.16431111638588444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792635424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8484589,0.00043775514,0.14288343,0.0006626698,0.000052118958,0.000045407618,0.000095714175,0.0001320484,0.0072319964],"genre_scores_gemma":[0.99806124,0.000048991747,0.0012216954,0.0000081198095,0.000004612739,0.0000071018517,0.000013835438,0.0000058715545,0.0006284058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968755,0.00010862479,0.000007879612,0.000039660816,0.00004704864,0.000109210414],"domain_scores_gemma":[0.99777126,0.0015384983,0.0002317322,0.000096832424,0.00025419515,0.00010751235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015903694,0.000504904,0.00061424973,0.00044124768,0.00045712787,0.0009628072,0.00073678896,0.00088261557,0.002221024],"category_scores_gemma":[0.004340364,0.00026838406,0.0004429513,0.00037669943,0.000582622,0.0010574285,0.0006242189,0.0006345804,0.00008780239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009643514,0.00002426962,0.00074997515,0.000020728401,0.000019640083,0.000037764832,0.00001191388,0.9903881,0.00084024196,0.0052343276,0.00015753861,0.0024191102],"study_design_scores_gemma":[0.000005335025,0.00002702544,0.0002773471,0.0000010632222,0.000006249744,0.000004402384,0.000009920726,0.9981756,0.0002958348,0.0011633622,0.000031275642,0.0000025522625],"about_ca_topic_score_codex":0.006477391,"about_ca_topic_score_gemma":0.0024371035,"teacher_disagreement_score":0.006477391,"about_ca_system_score_codex":0.0010693398,"about_ca_system_score_gemma":0.0011218057,"threshold_uncertainty_score":0.012879372},"labels":[],"label_agreement":null},{"id":"W2802210946","doi":"10.1016/j.renene.2018.04.056","title":"Experimental investigation on heat transfer augmentation of solar air heater using shot blasted V-corrugated absorber plate","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":108,"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":"Nusselt number; Heat transfer; Materials science; Reynolds number; Laminar flow; Friction factor; Thermal; Mechanics; Duct (anatomy); Optics; Composite material; Thermodynamics; Physics","score_opus":0.033369364272434886,"score_gpt":0.2338070482949771,"score_spread":0.2004376840225422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802210946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968195,0.00007404525,0.0014204106,0.000018933424,0.00002707103,0.000016798242,0.00005307889,0.000062894396,0.0015072708],"genre_scores_gemma":[0.99844956,0.000034218094,0.00059900334,0.000003994959,0.000004167504,0.000008602605,0.000017619377,0.000004665394,0.0008780692],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997861,0.000022178881,0.0000075916173,0.000050945768,0.00009017233,0.00004301797],"domain_scores_gemma":[0.99979275,0.00006426308,0.000025649873,0.000041292293,0.000058869125,0.000017238895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020189348,0.00033822842,0.00034648954,0.00018958088,0.00043846734,0.0002814831,0.0006371129,0.0004955258,0.0030065232],"category_scores_gemma":[0.00028123017,0.00022108246,0.0003544017,0.0001760636,0.00045320083,0.00039138214,0.00023062543,0.00035779498,0.00022451802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007311125,0.00017134493,0.0013894322,0.0002133128,0.0000143907555,0.0002310054,0.00017044319,0.0032810264,0.98784304,0.0003071798,0.00021291913,0.005434955],"study_design_scores_gemma":[0.00006393294,0.0019390485,0.012597688,0.000012306231,0.00004438627,0.00012734228,0.00027433186,0.012669646,0.9710225,0.00006757844,0.0011605113,0.000020866892],"about_ca_topic_score_codex":0.00049138075,"about_ca_topic_score_gemma":0.00062309013,"teacher_disagreement_score":0.0030065232,"about_ca_system_score_codex":0.00018072405,"about_ca_system_score_gemma":0.00019980417,"threshold_uncertainty_score":0.010057807},"labels":[],"label_agreement":null},{"id":"W2806367928","doi":"10.1016/j.renene.2018.06.002","title":"Evaluation of transcription profile of acetyl-CoA carboxylase (ACCase) and acyl-ACP synthetase (AAS) to reveal their roles in induced lipid accumulation of Synechococcus sp. HS01","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Algal biology and biofuel production","field":"Energy","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":"McGill University","funders":"National Institute for Genetic Engineering and Biotechnology","keywords":"Acetyl-CoA carboxylase; Biochemistry; Pyruvate carboxylase; Fatty acid synthesis; Gene expression; Autotroph; Fatty acid; Enzyme; Gene; Biology; Cyanobacteria; Lipid metabolism; Synechococcus; Acetyl-CoA; Chemistry; Bacteria; Genetics","score_opus":0.06001981000477571,"score_gpt":0.30258198020050636,"score_spread":0.24256217019573065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806367928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912812,0.0014886128,0.0025720543,0.00017642985,0.000074505384,0.00003440076,0.0023617484,0.00005276249,0.0019582727],"genre_scores_gemma":[0.98739517,0.0007247999,0.0025908847,0.00013125569,0.000020130363,0.00009057605,0.004545514,0.000037524565,0.004464098],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997594,0.000021013768,0.00002014649,0.00007650958,0.00006935427,0.00005357667],"domain_scores_gemma":[0.9998185,0.000044401586,0.000020305415,0.000017221775,0.00006081933,0.00003881046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017915707,0.0003217103,0.00032701797,0.00034386665,0.0002142374,0.00031305486,0.00013633721,0.00022536756,0.0007342576],"category_scores_gemma":[0.0002183201,0.0001728034,0.00034850492,0.00048642996,0.00023446398,0.00021581378,0.00019351128,0.0005273907,0.00032615673],"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":[0.00006403745,0.0000143585585,0.00043632323,0.00001482325,0.0000018403911,0.00001547283,0.000023397411,0.000021923186,0.998855,0.000029295172,0.000018485081,0.0005051365],"study_design_scores_gemma":[0.00002414453,0.00045278596,0.04584453,0.000011219921,0.00004034496,0.00015866967,0.00029673945,0.0019726243,0.94862646,0.00016147006,0.0023911512,0.000019763538],"about_ca_topic_score_codex":0.0031920339,"about_ca_topic_score_gemma":0.003996108,"teacher_disagreement_score":0.0031920339,"about_ca_system_score_codex":0.0003615928,"about_ca_system_score_gemma":0.0005307963,"threshold_uncertainty_score":0.006346941},"labels":[],"label_agreement":null},{"id":"W2809258127","doi":"10.1016/j.renene.2018.06.074","title":"Comparative study of solar-powered underfloor heating system performance in distinctive climates","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Ontario Tech University","funders":"","keywords":"Payback period; Renewable energy; Environmental science; Solar energy; Environmental engineering; Energy performance; Greenhouse gas; Meteorology; Passive solar building design; Energy consumption; Civil engineering; Engineering; Geography; Production (economics); Oceanography; Electrical engineering","score_opus":0.02778642659896616,"score_gpt":0.2563746233165349,"score_spread":0.22858819671756872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809258127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845684,0.000037088867,0.00030231974,0.000004749951,0.000004122168,0.0000049097644,0.00013495777,0.000020141171,0.0010347976],"genre_scores_gemma":[0.99950314,0.000017664868,0.000065785534,0.000001812806,0.0000016712061,0.000002401461,0.00010159421,0.0000067642104,0.0002992314],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998952,0.000021406096,0.0000066654993,0.000021461039,0.000025723695,0.000029489436],"domain_scores_gemma":[0.99968946,0.00012823808,0.000022754686,0.0000318358,0.0000963027,0.00003139003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002604525,0.00020160762,0.0004718645,0.00038423657,0.00043337734,0.0004154207,0.00022282772,0.00027314265,0.0021548632],"category_scores_gemma":[0.0004316099,0.000092783004,0.00035576866,0.0004156893,0.00018532679,0.00034644315,0.00022984832,0.00016240003,0.0004009177],"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":[0.010660359,0.0006693214,0.15508224,0.0005588223,0.00037499523,0.00061360194,0.0010835832,0.04822792,0.71185195,0.00072174903,0.0010952536,0.069060236],"study_design_scores_gemma":[0.00010784336,0.0045795897,0.635778,0.000019432411,0.0002064668,0.0003150204,0.0013749565,0.029197382,0.32558748,0.00023666852,0.002539378,0.000057657377],"about_ca_topic_score_codex":0.0019501463,"about_ca_topic_score_gemma":0.0025977336,"teacher_disagreement_score":0.0021548632,"about_ca_system_score_codex":0.00024281879,"about_ca_system_score_gemma":0.00013412017,"threshold_uncertainty_score":0.007208705},"labels":[],"label_agreement":null},{"id":"W2809294463","doi":"10.1016/j.renene.2018.06.068","title":"Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":89,"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":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Distributed generation; Electricity generation; Capital cost; Heat exchanger; Reduction (mathematics); Electricity; Engineering; Chiller; Power (physics); Process engineering; Computer science; Electrical engineering; Renewable energy; Mechanical engineering; Mathematics","score_opus":0.010133892454423619,"score_gpt":0.1955137304844484,"score_spread":0.18537983803002478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809294463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4154617,0.0009323339,0.5226896,0.00059501105,0.00011658481,0.00030526624,0.0004917217,0.0005735699,0.05883422],"genre_scores_gemma":[0.97570205,0.000117202195,0.0169666,0.000027470458,0.000012997291,0.00013288476,0.00009267646,0.000048711616,0.006899473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997844,0.000081507846,0.000004791615,0.000033396278,0.000043611115,0.000052363543],"domain_scores_gemma":[0.9998485,0.00007335311,0.000020811249,0.000008098126,0.00003306076,0.000016139395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035462022,0.0007057872,0.0010133538,0.0005069685,0.00053851405,0.0012414171,0.00073136465,0.00089936587,0.005013808],"category_scores_gemma":[0.0005978722,0.000755699,0.0006586378,0.0005151156,0.00046652267,0.0006810124,0.00057222194,0.0005983693,0.00031835475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002307407,0.000010571092,0.0001309536,0.000015799402,0.000008248517,0.000012135293,0.00000681149,0.99671966,0.00044454678,0.0004752938,0.00011161057,0.0020413066],"study_design_scores_gemma":[0.00000885046,0.000026725467,0.00020139907,0.0000015343011,0.0000068786017,0.0000035733224,0.000009884323,0.99887186,0.00029366228,0.0003465836,0.00022639264,0.0000026150067],"about_ca_topic_score_codex":0.010020824,"about_ca_topic_score_gemma":0.016031126,"teacher_disagreement_score":0.010020824,"about_ca_system_score_codex":0.0013777988,"about_ca_system_score_gemma":0.0016821008,"threshold_uncertainty_score":0.019924998},"labels":[],"label_agreement":null},{"id":"W2809574604","doi":"10.1016/j.renene.2018.06.066","title":"Oleaginous yeast biomass flocculation using bioflocculant produced in wastewater sludge and transesterification using petroleum diesel as a co-solvent","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flocculation; Chemistry; Biomass (ecology); Settling; Alum; Pulp and paper industry; Chromatography; Diesel fuel; Environmental engineering; Organic chemistry; Biology; Environmental science; Agronomy","score_opus":0.021584364179186473,"score_gpt":0.23743344137858757,"score_spread":0.2158490771994011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809574604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998973,0.00012735196,0.0004527655,0.000016522246,0.000016903485,0.000007790205,0.000041252613,0.000017763876,0.00034667357],"genre_scores_gemma":[0.99816847,0.00015187582,0.00060345547,0.0000071107074,0.0000039013057,0.0000068974305,0.00009480021,0.00000968773,0.0009537209],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989176,0.000013351761,0.000010883795,0.000024216768,0.000021553262,0.00003822202],"domain_scores_gemma":[0.9999269,0.000011766828,0.000014117219,0.000006539166,0.000016172895,0.000024437793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017193674,0.0007782191,0.00031167603,0.0002957746,0.00017861584,0.00042235103,0.00021188435,0.00024188272,0.00078164425],"category_scores_gemma":[0.00019428557,0.00014627108,0.00037456883,0.00020649728,0.00021452967,0.00033325652,0.00028820967,0.0002704593,0.00022100804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020961589,0.000058985144,0.00017862204,0.000026538126,0.000008260841,0.000042888096,0.000020881627,0.00016688893,0.99771297,0.000042726475,0.000012468062,0.0015192317],"study_design_scores_gemma":[0.000013531744,0.00019267322,0.00088815915,0.0000036874958,0.000012414242,0.000023135575,0.000024306439,0.00047246015,0.99817634,0.000011682159,0.00017839661,0.0000031233026],"about_ca_topic_score_codex":0.001653288,"about_ca_topic_score_gemma":0.0021044,"teacher_disagreement_score":0.001653288,"about_ca_system_score_codex":0.00026558456,"about_ca_system_score_gemma":0.00031054596,"threshold_uncertainty_score":0.003287375},"labels":[],"label_agreement":null},{"id":"W2886405660","doi":"10.1016/j.renene.2018.08.065","title":"Catalytic production of furfural by pressurized liquid water liquefaction of flax straw","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Catalysis for Biomass Conversion","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":"University of Regina","funders":"Ministry of Higher Education, Egypt; Ministry of Higher Education; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Saudi Arabia Cultural Bureau in London","keywords":"Furfural; Catalysis; Chemistry; Liquefaction; Yield (engineering); Straw; Lewis acids and bases; Activation energy; Nuclear chemistry; Chemical engineering; Organic chemistry; Materials science; Inorganic chemistry; Composite material","score_opus":0.004986273423598593,"score_gpt":0.18484344748360065,"score_spread":0.17985717406000207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886405660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964869,0.0004524399,0.0013201134,0.00007296239,0.000017938959,0.000010313539,0.00011516545,0.000031876036,0.00149235],"genre_scores_gemma":[0.99755716,0.00024672682,0.00059365126,0.000009969573,0.0000038563676,0.000004501685,0.00012707873,0.0000066672683,0.0014502836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993265,0.000008461614,0.0000043692794,0.000010509782,0.000015936894,0.000027987357],"domain_scores_gemma":[0.99997735,0.000004110272,0.0000050179756,0.0000040233604,0.000004736596,0.0000046870823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014876356,0.00038142115,0.0002197819,0.00021815927,0.00017611177,0.00026327447,0.00023331908,0.00024788006,0.0013864811],"category_scores_gemma":[0.00012637019,0.000114409595,0.00027867215,0.00021299618,0.00018826606,0.00035729408,0.00016634716,0.00029698937,0.00033997674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001276059,0.0000390316,0.00024519066,0.00006724564,0.0000092450455,0.00010652644,0.00003117761,0.0003275786,0.99471575,0.0002077351,0.00007450047,0.0040484313],"study_design_scores_gemma":[0.000004935169,0.000075528966,0.00068499777,0.0000027122742,0.0000039662723,0.000021714184,0.000017698969,0.0005212423,0.99804235,0.000019595946,0.00060290785,0.0000024118954],"about_ca_topic_score_codex":0.0017818883,"about_ca_topic_score_gemma":0.0027012995,"teacher_disagreement_score":0.0017818883,"about_ca_system_score_codex":0.00033812798,"about_ca_system_score_gemma":0.0002880127,"threshold_uncertainty_score":0.0046382546},"labels":[],"label_agreement":null},{"id":"W2889541646","doi":"10.1016/j.renene.2018.08.082","title":"A methodology for predicting hybrid solar panel performance in different operating modes","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":16,"is_retracted":false,"has_abstract":false,"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; Canada Research Chairs","keywords":"Thermal; Mode (computer interface); Power (physics); Panel data; Automotive engineering; Computer science; Engineering; Electronic engineering; Meteorology; Statistics; Physics; Mathematics","score_opus":0.07848949690549842,"score_gpt":0.2737933927023786,"score_spread":0.1953038957968802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889541646","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":[0.07256642,0.00014018397,0.923643,0.000032680167,0.00003826701,0.00009381174,0.0002743685,0.001256316,0.001954909],"genre_scores_gemma":[0.7849021,0.00014233627,0.2117861,0.00002956134,0.00002651315,0.00022118948,0.00037572742,0.00008931316,0.002427221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989915,0.000016628468,0.0000057096076,0.000027215436,0.000039034534,0.000012257194],"domain_scores_gemma":[0.9997719,0.00009323377,0.000023761293,0.000025348194,0.0000748122,0.000011009761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559722,0.00068609684,0.000518,0.0004677635,0.00046626639,0.0005483694,0.00068104325,0.0007602112,0.0012339484],"category_scores_gemma":[0.0007516895,0.0003132746,0.00061806565,0.0004385942,0.00016929708,0.0004975769,0.0002835758,0.0005055093,0.00034695893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037084676,0.00010101851,0.0023165802,0.00004868231,0.000063357846,0.000043415792,0.00002181285,0.91004163,0.013826766,0.0008925754,0.00040166642,0.07220547],"study_design_scores_gemma":[0.0000025478287,0.00002230929,0.0003836791,0.0000018280404,0.000006170684,0.000008656114,0.0000034929694,0.9972211,0.0018974247,0.00027606907,0.00017253979,0.00000411581],"about_ca_topic_score_codex":0.007672468,"about_ca_topic_score_gemma":0.0070958636,"teacher_disagreement_score":0.007672468,"about_ca_system_score_codex":0.00039467946,"about_ca_system_score_gemma":0.00062236993,"threshold_uncertainty_score":0.01525563},"labels":[],"label_agreement":null},{"id":"W2901651100","doi":"10.1016/j.renene.2018.11.080","title":"Investigation of photovoltaic coverage ratio for maximum overall thermal energy of photovoltaic thermal system","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","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":"Dalhousie University","funders":"","keywords":"Photovoltaic system; Renewable energy; Environmental science; Thermal; Work (physics); Grid; Automotive engineering; Meteorology; Engineering; Electrical engineering; Mathematics; Mechanical engineering; Physics","score_opus":0.015508013793435704,"score_gpt":0.22160040185542154,"score_spread":0.20609238806198585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901651100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.681898,0.0035800282,0.26871878,0.00023277232,0.00004779552,0.000058392714,0.00019390018,0.0003004027,0.044969965],"genre_scores_gemma":[0.99336994,0.00019510336,0.0058802026,0.0000075752077,0.000006887078,0.000011474814,0.000023281338,0.000019752417,0.0004857734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998517,0.000039291877,0.000004410311,0.000025749277,0.000058866703,0.000019961892],"domain_scores_gemma":[0.99977976,0.00014352656,0.000022270196,0.000010777044,0.000039048005,0.000004606865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023611463,0.00033233993,0.00026211934,0.00032952384,0.00016391343,0.00038574188,0.00034113938,0.00030399795,0.0016223622],"category_scores_gemma":[0.00096802757,0.000113666676,0.00034813813,0.00034710084,0.00008942222,0.00031331432,0.00015063648,0.00016336793,0.00013674109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065624644,0.00009069861,0.006348072,0.00060792424,0.0001024671,0.00033310562,0.00013580434,0.69764906,0.1822906,0.009018959,0.0011730641,0.10159401],"study_design_scores_gemma":[0.000011148799,0.00018337673,0.0044034477,0.000023135042,0.0000585155,0.00016359682,0.00006943979,0.951094,0.042218655,0.0007542677,0.0010126682,0.00000771991],"about_ca_topic_score_codex":0.00069645036,"about_ca_topic_score_gemma":0.001021491,"teacher_disagreement_score":0.0016223622,"about_ca_system_score_codex":0.000189608,"about_ca_system_score_gemma":0.00014219737,"threshold_uncertainty_score":0.005427301},"labels":[],"label_agreement":null},{"id":"W2901858358","doi":"10.1016/j.renene.2018.11.057","title":"Intensified transesterification of mixture of edible and nonedible oils in reverse flow helical coil reactor for biodiesel production","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":38,"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 Saskatchewan","funders":"","keywords":"Biodiesel; Transesterification; Residence time (fluid dynamics); Biodiesel production; Yield (engineering); Response surface methodology; Continuous reactor; Batch reactor; Mixing (physics); Materials science; Chemistry; Residence time distribution; Chemical engineering; Pulp and paper industry; Catalysis; Chromatography; Organic chemistry; Composite material; Mineralogy; Engineering","score_opus":0.01738944054489516,"score_gpt":0.22188440593799308,"score_spread":0.20449496539309792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901858358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925426,0.0004541671,0.0054549295,0.000038488994,0.000025293313,0.000020974152,0.00006745121,0.00007603818,0.0013199262],"genre_scores_gemma":[0.99535584,0.0003982638,0.0027273877,0.000018516155,0.000008163702,0.000011714087,0.00008053306,0.000016484511,0.0013832245],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998989,0.000016488428,0.0000072446373,0.000027179169,0.000019619072,0.000030513253],"domain_scores_gemma":[0.9999349,0.000016140173,0.000017307904,0.000007005969,0.000013081836,0.000011527978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022570883,0.00034008763,0.00028955317,0.0001764296,0.00011313325,0.00025423468,0.00020400599,0.0002111732,0.000947323],"category_scores_gemma":[0.00013778635,0.00017832418,0.00029634338,0.00015312579,0.0001626286,0.0003339868,0.00019370957,0.00048395654,0.0004195853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022817936,0.000025348258,0.000076955956,0.00005087492,0.000003383544,0.000044744018,0.00001874871,0.0002746794,0.99795973,0.00010909551,0.000021262967,0.0011870693],"study_design_scores_gemma":[0.000009732708,0.00010518024,0.00020090748,0.000002244746,0.000007330663,0.00002845892,0.000007647155,0.0007024381,0.99849224,0.000012747928,0.000427498,0.0000034648674],"about_ca_topic_score_codex":0.00026609146,"about_ca_topic_score_gemma":0.00049804355,"teacher_disagreement_score":0.000947323,"about_ca_system_score_codex":0.0001823819,"about_ca_system_score_gemma":0.00019833657,"threshold_uncertainty_score":0.0031691194},"labels":[],"label_agreement":null},{"id":"W2906115808","doi":"10.1016/j.renene.2018.12.084","title":"Evaluating the potential of a novel anaerobic baffled reactor for anaerobic digestion of thin stillage: Effect of organic loading rate, hydraulic retention time and recycle ratio","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":34,"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":"Digestate; Stillage; Struvite; Anaerobic digestion; Hydraulic retention time; Chemistry; Effluent; Chemical oxygen demand; Pulp and paper industry; Anaerobic exercise; Phosphorus; Biogas; Nitrogen; Kjeldahl method; Methane; Waste management; Environmental engineering; Wastewater; Environmental science; Food science; Fermentation","score_opus":0.012778713209278147,"score_gpt":0.24451211720840302,"score_spread":0.23173340399912487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906115808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977985,0.00024412596,0.0016643435,0.000029863093,0.000017221633,0.00001693266,0.000078090015,0.000023645785,0.00012719785],"genre_scores_gemma":[0.99428374,0.00046720591,0.0044855853,0.000013281371,0.000008926868,0.000025281202,0.00017612881,0.000010898838,0.0005290038],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965477,0.000057365818,0.000044984285,0.00008100214,0.00009839011,0.00006350968],"domain_scores_gemma":[0.99961424,0.00016285827,0.00006444534,0.000028209877,0.000068013665,0.000062160216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008625243,0.00068098324,0.0007801251,0.00031773318,0.00035086265,0.0008846459,0.00082836446,0.0009023632,0.000592947],"category_scores_gemma":[0.00082266814,0.00035714885,0.000589347,0.00026293733,0.0003303536,0.0008089245,0.00031572394,0.0005143564,0.00023837527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001296298,0.00025382158,0.0006737026,0.000120814606,0.000024062798,0.00004711141,0.00001864351,0.0015779595,0.9935401,0.000033807006,0.00001462704,0.0023990392],"study_design_scores_gemma":[0.00008438797,0.0030331702,0.002941728,0.000008061587,0.00012906588,0.00008003549,0.00004937949,0.012317185,0.9808905,0.000023159642,0.00041660157,0.000026623002],"about_ca_topic_score_codex":0.0033107148,"about_ca_topic_score_gemma":0.0031855968,"teacher_disagreement_score":0.0033107148,"about_ca_system_score_codex":0.00047976052,"about_ca_system_score_gemma":0.00062356243,"threshold_uncertainty_score":0.006582856},"labels":[],"label_agreement":null},{"id":"W2910014246","doi":"10.1016/j.renene.2019.01.049","title":"Prediction of wind power ramp events based on residual correction","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":59,"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":"Residual; Wind power forecasting; Wind power; Markov chain; Wind speed; Computer science; Numerical weather prediction; Power (physics); Stability (learning theory); Term (time); Electric power system; Control theory (sociology); Reliability engineering; Engineering; Meteorology; Algorithm; Artificial intelligence; Machine learning","score_opus":0.007826135737354257,"score_gpt":0.1790574217490179,"score_spread":0.17123128601166365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910014246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9264204,0.00034470388,0.067090206,0.00012229984,0.0002731556,0.000038421083,0.0007715197,0.0016322872,0.0033070513],"genre_scores_gemma":[0.99512804,0.000051924493,0.004087774,0.000005627984,0.00001893193,0.0000032574105,0.00037570312,0.00001499893,0.00031361426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987173,0.000015921492,0.0000103361635,0.000036324323,0.000040034716,0.000025560861],"domain_scores_gemma":[0.99952614,0.00016487947,0.000056661163,0.00005379516,0.0001576663,0.000040864517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002774357,0.0006381256,0.0005344371,0.00064254005,0.00016359569,0.0003835495,0.0003606607,0.00040634256,0.00082965207],"category_scores_gemma":[0.001022773,0.00018189893,0.00029345087,0.00041492915,0.00013262799,0.00043131498,0.00017534234,0.00065962435,0.00031955072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012523356,0.00026567117,0.03794541,0.00013731606,0.000115012546,0.000562071,0.000050373168,0.80479836,0.022128928,0.000936496,0.0031762675,0.12863173],"study_design_scores_gemma":[0.000006651662,0.00003051742,0.005653913,0.0000028710003,0.000010291553,0.00001376168,0.000003754596,0.99276793,0.0013345078,0.00009063578,0.00008011771,0.000005009211],"about_ca_topic_score_codex":0.005378945,"about_ca_topic_score_gemma":0.00572705,"teacher_disagreement_score":0.005378945,"about_ca_system_score_codex":0.00014144507,"about_ca_system_score_gemma":0.00020725671,"threshold_uncertainty_score":0.010695219},"labels":[],"label_agreement":null},{"id":"W2910857397","doi":"10.1016/j.renene.2019.01.060","title":"Effect of slope and number of blades on Archimedes screw generator power output","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Cavitation Phenomena in Pumps","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":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Inclination angle; Mechanics; Leakage (economics); Power (physics); Mechanical engineering; Structural engineering; Engineering; Physics; Thermodynamics","score_opus":0.003918232249001603,"score_gpt":0.20854006833317873,"score_spread":0.20462183608417714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910857397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99631363,0.00018591552,0.0016563588,0.00002680112,0.000026892803,0.0000058827777,0.00015604409,0.00006907023,0.0015595058],"genre_scores_gemma":[0.9992411,0.000055406013,0.00018071807,0.0000072824723,0.0000031207567,0.0000022631355,0.000045160992,0.000015656746,0.0004492692],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998036,0.0000433129,0.000012908227,0.00004722818,0.000033909837,0.00005899279],"domain_scores_gemma":[0.99705315,0.0022531494,0.00017863946,0.00010814158,0.00027841725,0.00012849605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032017098,0.000332167,0.00046333106,0.00023008426,0.00022324346,0.00054127385,0.00027141118,0.000593546,0.005128454],"category_scores_gemma":[0.0017884405,0.00027390936,0.00032828932,0.0003821354,0.0004605291,0.00036064952,0.00019299792,0.00049677456,0.00080821913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018763406,0.0004521814,0.03088177,0.0006103026,0.000112920265,0.0017970976,0.0005843192,0.069094926,0.84499216,0.00054095604,0.0010360319,0.031133896],"study_design_scores_gemma":[0.000273364,0.007569769,0.16611612,0.00010406116,0.0002472748,0.00055536587,0.0012050826,0.06658177,0.7542787,0.0003910236,0.0025678093,0.000109720095],"about_ca_topic_score_codex":0.0006220067,"about_ca_topic_score_gemma":0.00070154906,"teacher_disagreement_score":0.005128454,"about_ca_system_score_codex":0.00015777395,"about_ca_system_score_gemma":0.00019547592,"threshold_uncertainty_score":0.017156363},"labels":[],"label_agreement":null},{"id":"W2913381384","doi":"10.1016/j.renene.2019.01.125","title":"Autothermal dry reforming of methane with a nickel spinellized catalyst prepared from a negative value metallurgical residue","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Catalysts for Methane Reforming","field":"Chemical 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 de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Carbon dioxide reforming; Methane; Residue (chemistry); Nickel; Methane reformer; Catalysis; Metallurgy; Materials science; Waste management; Environmental science; Chemistry; Syngas; Engineering; Steam reforming; Organic chemistry; Hydrogen production","score_opus":0.007071236554291142,"score_gpt":0.214108322842008,"score_spread":0.20703708628771686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913381384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99556077,0.00041902598,0.0011373535,0.00008917715,0.000044244265,0.000010656198,0.00009647675,0.000061572006,0.002580722],"genre_scores_gemma":[0.9980605,0.00011029645,0.00033876346,0.000008700601,0.0000072421944,0.0000027090146,0.00007342803,0.0000106420575,0.0013877703],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999008,0.0000095117775,0.000004917704,0.000014512182,0.000036877158,0.000033371125],"domain_scores_gemma":[0.9999652,0.0000074402524,0.000008434208,0.0000063166285,0.0000053198855,0.0000072119315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012869405,0.00029096752,0.0003331552,0.00030039347,0.00026106558,0.00018358648,0.0003286137,0.00029118927,0.0010613181],"category_scores_gemma":[0.00016793545,0.000118664786,0.00019617852,0.00021630096,0.00025855802,0.00031890275,0.00021924253,0.00039696987,0.00023317964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031629708,0.000032897326,0.00037322714,0.00012841582,0.00001585537,0.00011981526,0.00008265507,0.0001979161,0.9941281,0.00037221162,0.00021032506,0.0040221466],"study_design_scores_gemma":[0.0000124410835,0.00020652666,0.0017779515,0.0000041892404,0.000011864393,0.00005674708,0.00002626839,0.0008190285,0.99566615,0.000031731874,0.001381635,0.0000053967724],"about_ca_topic_score_codex":0.0015185573,"about_ca_topic_score_gemma":0.0041699847,"teacher_disagreement_score":0.0015185573,"about_ca_system_score_codex":0.00028853602,"about_ca_system_score_gemma":0.00033032493,"threshold_uncertainty_score":0.0035504699},"labels":[],"label_agreement":null},{"id":"W2921189313","doi":"10.1016/j.renene.2019.03.059","title":"Heat transfer and pressure drop performance of solar glycol/activated carbon based nanofluids in shot peened double pipe heat exchanger","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Heat Transfer Mechanisms","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":"Concordia University","funders":"","keywords":"Nanofluid; Nusselt number; Materials science; Pressure drop; Heat exchanger; Heat transfer; Heat transfer coefficient; Chemistry; Thermodynamics; Reynolds number","score_opus":0.009018758745191476,"score_gpt":0.18564012296555968,"score_spread":0.1766213642203682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921189313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991997,0.00005710232,0.00032611427,0.0000140343955,0.000009215522,0.0000028067373,0.000057521705,0.000019806701,0.00031374546],"genre_scores_gemma":[0.99896574,0.000028206476,0.00020716703,0.000004616192,0.000001973044,0.0000033456924,0.000050497234,0.000003378986,0.0007349697],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998914,0.000009499559,0.0000062542445,0.000029023939,0.000040952724,0.000022815591],"domain_scores_gemma":[0.99988997,0.00003830453,0.00002136173,0.0000063038055,0.000032142372,0.000011941034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171011,0.00017635088,0.00016101786,0.00015207985,0.0002151684,0.00020141357,0.00026515042,0.00027521458,0.0020668535],"category_scores_gemma":[0.00021231227,0.00011117118,0.00020014471,0.000113813956,0.0002217225,0.00038745138,0.00015085394,0.00031527667,0.00017301741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051863113,0.00005682636,0.0007056707,0.00007458921,0.000005760936,0.000044889646,0.000065346634,0.0013183192,0.9950747,0.00012729963,0.00014234657,0.0018656189],"study_design_scores_gemma":[0.0000097698885,0.00026295474,0.0025481274,0.0000027937915,0.0000056785443,0.000008533387,0.00003182683,0.0077405865,0.9891963,0.000013203174,0.00017392551,0.0000063223806],"about_ca_topic_score_codex":0.001042039,"about_ca_topic_score_gemma":0.0010623999,"teacher_disagreement_score":0.0020668535,"about_ca_system_score_codex":0.0003163467,"about_ca_system_score_gemma":0.00010834226,"threshold_uncertainty_score":0.0069143176},"labels":[],"label_agreement":null},{"id":"W2922019876","doi":"10.1016/j.renene.2019.03.037","title":"Experimental investigation of multiple tube heat transfer enhancement in a vertical cylindrical latent heat thermal energy storage system","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials 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":"Concordia University","funders":"","keywords":"Thermal energy storage; Heat transfer; Shell and tube heat exchanger; Materials science; Phase-change material; Heat exchanger; Mechanics; Heat transfer enhancement; Thermodynamics; Nuclear engineering; Thermal; Heat transfer coefficient; Engineering; Physics","score_opus":0.021863550678673824,"score_gpt":0.23174556672515906,"score_spread":0.20988201604648524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922019876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99872595,0.000038274648,0.0006414772,0.000018308923,0.000008256714,0.000009016246,0.00007209656,0.000043369822,0.0004432381],"genre_scores_gemma":[0.99933666,0.000017939652,0.000310265,0.0000029265236,0.0000026604355,0.0000075465714,0.000024700472,0.000005683628,0.0002916797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986506,0.000022432121,0.0000066063176,0.000033935154,0.00004047223,0.000031455304],"domain_scores_gemma":[0.9997806,0.00008460478,0.000028450348,0.00002609332,0.00006105849,0.00001926088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023530917,0.00031173188,0.00044985994,0.00014860561,0.0005909008,0.00031920054,0.00042340762,0.00035896036,0.002693612],"category_scores_gemma":[0.00030384582,0.00020333233,0.00024846263,0.00025648333,0.00050345506,0.00055881724,0.00027404912,0.0003333776,0.00020456307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010153679,0.00012502841,0.000775273,0.00012564975,0.000007284929,0.00009088311,0.00010784715,0.0011784772,0.9937773,0.00017935115,0.00012549719,0.0024920874],"study_design_scores_gemma":[0.000052938503,0.0017360301,0.0057343575,0.000005477181,0.000018579476,0.00006592709,0.00013032579,0.011338755,0.9802316,0.00005227003,0.00061785727,0.000015988991],"about_ca_topic_score_codex":0.00064283225,"about_ca_topic_score_gemma":0.0006676497,"teacher_disagreement_score":0.002693612,"about_ca_system_score_codex":0.00029539218,"about_ca_system_score_gemma":0.0002460071,"threshold_uncertainty_score":0.00901109},"labels":[],"label_agreement":null},{"id":"W2923057701","doi":"10.1016/j.renene.2019.03.110","title":"A transient coupled model of a variable speed transcritical CO2 direct expansion ground source heat pump for space heating and cooling","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Research and Development","keywords":"Heat pump; Transient (computer programming); Transcritical cycle; Mechanics; Thermal; Control theory (sociology); Nuclear engineering; Environmental science; Engineering; Mechanical engineering; Thermodynamics; Heat exchanger; Computer science; Physics; Control (management)","score_opus":0.010697728444826462,"score_gpt":0.20396210584686747,"score_spread":0.193264377402041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923057701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50733525,0.00049018336,0.38209003,0.0012188818,0.00035481292,0.00027194255,0.0010327222,0.0014180753,0.10578804],"genre_scores_gemma":[0.97598606,0.0001090983,0.003070294,0.00007402497,0.000020516742,0.000116806536,0.0001485056,0.00007175341,0.02040289],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985826,0.000030439904,0.0000048525394,0.000046224966,0.000030746305,0.000029394454],"domain_scores_gemma":[0.99982184,0.00007884982,0.000021148093,0.000014773805,0.000037803668,0.0000256281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017178238,0.0005935701,0.0008608047,0.00030052266,0.0010320992,0.0011847962,0.0011453158,0.0021502145,0.0075570084],"category_scores_gemma":[0.0005455912,0.00055845117,0.00076221616,0.00034240523,0.0014231212,0.0011132774,0.0010829128,0.0008704931,0.00065146596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010604317,0.00005523248,0.00042623325,0.000050071278,0.000024654115,0.00022521454,0.00008408801,0.9832387,0.0065116147,0.007022926,0.00056981284,0.0016853841],"study_design_scores_gemma":[0.000022068782,0.000026870091,0.00017734955,0.000002565416,0.0000063729244,0.000012348218,0.000017179203,0.99803203,0.0007128188,0.0005581115,0.00042499823,0.0000072237426],"about_ca_topic_score_codex":0.015577818,"about_ca_topic_score_gemma":0.0062768734,"teacher_disagreement_score":0.015577818,"about_ca_system_score_codex":0.00092356204,"about_ca_system_score_gemma":0.0011374181,"threshold_uncertainty_score":0.030974329},"labels":[],"label_agreement":null},{"id":"W2938764123","doi":"10.1016/j.renene.2019.04.020","title":"Multiscale multiphase phenomena in bubble column reactors: A review","year":2019,"lang":"en","type":"review","venue":"Renewable Energy","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":false,"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; Total","keywords":"Microscale chemistry; Bubble; Coalescence (physics); Mesoscale meteorology; Mechanics; Swarm behaviour; Scale (ratio); Physics; Computer science; Meteorology; Mathematics; Artificial intelligence","score_opus":0.024934236284752942,"score_gpt":0.2648283706994163,"score_spread":0.23989413441466334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938764123","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":[0.00011919133,0.99897635,0.00034593412,0.000095368436,0.00010923809,0.0000031508716,0.000014988279,0.000006843952,0.00032901936],"genre_scores_gemma":[0.0006460291,0.99848723,0.0003508698,0.00007795552,0.00018961405,0.0000051441666,0.000019844761,0.0000016476544,0.00022162778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981576,0.000021302776,0.00002946719,0.00005186381,0.00006253458,0.000019101586],"domain_scores_gemma":[0.9995264,0.00023847309,0.000080204736,0.000014257591,0.000101258214,0.000039433355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065599976,0.0013675726,0.0021067855,0.002939218,0.0003034229,0.0015033745,0.0009956581,0.0015673215,0.002435788],"category_scores_gemma":[0.00085057784,0.00058459444,0.00073214323,0.0032892253,0.0005764076,0.0019959812,0.0010646436,0.0014251085,0.001395614],"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":[0.00008098181,0.00013825457,0.00022144231,0.03495695,0.00013668516,0.00015152353,0.000057865538,0.0014091734,0.004087754,0.0050416626,0.014829819,0.93888795],"study_design_scores_gemma":[0.000039441373,0.0002458449,0.0012750998,0.0073900823,0.00047903013,0.0013543731,0.000106468746,0.0013111338,0.003217745,0.0064126966,0.9780677,0.00010041515],"about_ca_topic_score_codex":0.0010039299,"about_ca_topic_score_gemma":0.0015467339,"teacher_disagreement_score":0.002939218,"about_ca_system_score_codex":0.00046590605,"about_ca_system_score_gemma":0.0010689965,"threshold_uncertainty_score":0.008148491},"labels":[],"label_agreement":null},{"id":"W2941350712","doi":"10.1016/j.renene.2019.04.117","title":"Understanding catalytic effects of bentonite/clinoptilolite on biomass pyrolysis","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Korea Institute of Science and Technology; Ministry of Higher Education, Egypt","keywords":"Clinoptilolite; Lignin; Bentonite; Catalysis; Pyrolysis; Chemistry; Thermal decomposition; Thermogravimetric analysis; Hemicellulose; Decomposition; Chemical engineering; Organic chemistry; Zeolite; Materials science; Nuclear chemistry","score_opus":0.01334595147198911,"score_gpt":0.19151041280708653,"score_spread":0.17816446133509742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941350712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885557,0.0032293126,0.0053139464,0.00016299039,0.000021650008,0.000020669362,0.00006536932,0.000028777496,0.0026015416],"genre_scores_gemma":[0.9969875,0.0014881279,0.0010033005,0.000024956316,0.000004025833,0.000003910308,0.000042376003,0.000003746217,0.0004420701],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993396,0.000005350047,0.0000035393807,0.00001197478,0.000024344106,0.00002084008],"domain_scores_gemma":[0.9999652,0.0000126639015,0.000006123991,0.0000033280644,0.000009101012,0.0000036815768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014640712,0.0002460118,0.00014434573,0.00010388354,0.00010462716,0.00030360807,0.00022229,0.00027847796,0.00046957904],"category_scores_gemma":[0.00013588581,0.000121934594,0.00015067024,0.00008000145,0.00020036066,0.00040015002,0.00012971763,0.00045880637,0.00010484428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050690516,0.00003161281,0.00056621514,0.00019703305,0.000009228639,0.00006401047,0.000028704593,0.0014280394,0.99127483,0.00074000546,0.000039302162,0.0055703423],"study_design_scores_gemma":[0.000006202638,0.000051317053,0.0042563914,0.000013541231,0.00001661174,0.00007839109,0.000078879886,0.011502656,0.9820957,0.00039351537,0.0015001069,0.000006703894],"about_ca_topic_score_codex":0.0024473846,"about_ca_topic_score_gemma":0.0036936023,"teacher_disagreement_score":0.0024473846,"about_ca_system_score_codex":0.00034166552,"about_ca_system_score_gemma":0.00025266854,"threshold_uncertainty_score":0.0048662424},"labels":[],"label_agreement":null},{"id":"W2947250983","doi":"10.1016/j.renene.2019.05.042","title":"Improved application of a solar chimney concept in a two-story building: An enhanced geometry through a numerical approach","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":49,"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":"Solar chimney; Natural ventilation; Chimney (locomotive); Ventilation (architecture); Computational fluid dynamics; Buoyancy; Marine engineering; Passive solar building design; Engineering; Geometry; Solar energy; Structural engineering; Mechanical engineering; Mechanics; Aerospace engineering; Mathematics; Physics","score_opus":0.006163861682229235,"score_gpt":0.21922705307112159,"score_spread":0.21306319138889235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947250983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3015617,0.00045541304,0.5955586,0.0005416727,0.00037194553,0.00025562904,0.00030600393,0.001015202,0.0999339],"genre_scores_gemma":[0.91620487,0.00016898672,0.077096164,0.00005079934,0.000027749706,0.00007794512,0.000080725644,0.00010319297,0.0061894744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983656,0.000032983746,0.0000054594652,0.000027134432,0.00007988185,0.000017977574],"domain_scores_gemma":[0.999821,0.0000530309,0.000017800672,0.00003503314,0.000055195764,0.00001804043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020919144,0.00053235306,0.0006574716,0.0003626784,0.00044447655,0.0008988407,0.0009130507,0.0012212767,0.0046236026],"category_scores_gemma":[0.0006132109,0.00030819845,0.00048274317,0.00031975916,0.0005602724,0.0004926585,0.00067783444,0.0005192195,0.0005485603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004963427,0.000096226526,0.0003887838,0.0001056498,0.000012329981,0.00029327357,0.00006817472,0.94795424,0.030983068,0.009238707,0.00052319025,0.010286735],"study_design_scores_gemma":[0.000012438099,0.000038174327,0.0001891525,0.000006725733,0.000005855456,0.00006921461,0.000027564958,0.9944983,0.0028426978,0.0008097107,0.0014889302,0.000011233596],"about_ca_topic_score_codex":0.0030314296,"about_ca_topic_score_gemma":0.00314806,"teacher_disagreement_score":0.0046236026,"about_ca_system_score_codex":0.0004224849,"about_ca_system_score_gemma":0.00070232566,"threshold_uncertainty_score":0.015467465},"labels":[],"label_agreement":null},{"id":"W2953503724","doi":"10.1016/j.renene.2019.06.134","title":"Acidic and thermal pre-treatments for anaerobic digestion inoculum to improve hydrogen and volatile fatty acid production using xylose as the substrate","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","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":"National Research Council Canada","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Xylose; Hydrogen production; Chemistry; Mesophile; Fermentative hydrogen production; Fermentation; Lignocellulosic biomass; Food science; Hydrogen; Anaerobic digestion; Biomass (ecology); Biofuel; Biochemistry; Biohydrogen; Organic chemistry; Bacteria; Biotechnology; Biology; Agronomy; Methane","score_opus":0.0072133437020483,"score_gpt":0.20786057888421564,"score_spread":0.20064723518216734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953503724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943375,0.0013409402,0.0024448617,0.000065590575,0.00008584797,0.00004136071,0.0002938144,0.00003406372,0.0013560432],"genre_scores_gemma":[0.9939937,0.0007605015,0.0028484939,0.000045883375,0.000018063527,0.000033725133,0.00040481612,0.00001444024,0.0018803467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998301,0.000021660979,0.000023275881,0.00002818531,0.00005173118,0.000044980377],"domain_scores_gemma":[0.9999007,0.000015233835,0.000018644034,0.0000064786227,0.000034345267,0.00002468631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016948508,0.0005251319,0.00035971604,0.0002860918,0.00022625396,0.00036912307,0.00024986803,0.00026535094,0.0012793842],"category_scores_gemma":[0.0002042002,0.00017617391,0.00039231562,0.0003341059,0.00015694882,0.0003036139,0.00021503326,0.00061056495,0.00020932371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018667929,0.00006317511,0.00017356256,0.0000776647,0.000006632319,0.000032316177,0.000017678494,0.0001320266,0.9975163,0.00003656717,0.000041210376,0.001716184],"study_design_scores_gemma":[0.000006417639,0.00021151929,0.0021792045,0.0000079275915,0.000021386722,0.00003026638,0.00003827405,0.00043837642,0.9963102,0.000017168646,0.00073207985,0.0000072070657],"about_ca_topic_score_codex":0.0015770083,"about_ca_topic_score_gemma":0.003949057,"teacher_disagreement_score":0.0015770083,"about_ca_system_score_codex":0.00017551432,"about_ca_system_score_gemma":0.00036943782,"threshold_uncertainty_score":0.004279971},"labels":[],"label_agreement":null},{"id":"W2953799619","doi":"10.1016/j.renene.2019.06.121","title":"How big a battery?","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Battery (electricity); Fossil fuel; Stand-alone power system; Wind power; Electricity; Electricity generation; Energy storage; Environmental economics; Intermittent energy source; Coal; Automotive engineering; Environmental science; Distributed generation; Engineering; Waste management; Electrical engineering; Economics; Power (physics)","score_opus":0.010884096222984467,"score_gpt":0.1908574502343949,"score_spread":0.17997335401141043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953799619","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":[0.0065686703,0.10036822,0.018803293,0.54333615,0.035192046,0.000051526327,0.00061022915,0.0006242465,0.29444554],"genre_scores_gemma":[0.3207542,0.15172084,0.0143357,0.17329541,0.028001994,0.00017791241,0.0007021255,0.0010530215,0.30995882],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987295,0.0003842131,0.00005654117,0.00015009411,0.000545534,0.0001340701],"domain_scores_gemma":[0.99588853,0.0015951773,0.0001734594,0.00032371547,0.0013682226,0.0006509099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283694,0.00062109146,0.00056327955,0.0008965625,0.001625853,0.0060569188,0.0011494369,0.0038794812,0.025704255],"category_scores_gemma":[0.010149748,0.00030766096,0.00039457882,0.00093118293,0.003915209,0.020957233,0.001966771,0.0043233125,0.0102161495],"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":[0.00009137231,0.00006101156,0.0010831681,0.0006599052,0.000050061546,0.00020817085,0.00032985318,0.00076186087,0.0012742049,0.34074318,0.42285588,0.23188135],"study_design_scores_gemma":[0.000010878541,0.000029224757,0.00031154972,0.00041729741,0.00002531016,0.00028877627,0.0011349763,0.00048582882,0.000980701,0.30917776,0.68711054,0.000027195589],"about_ca_topic_score_codex":0.0017557472,"about_ca_topic_score_gemma":0.0034812482,"teacher_disagreement_score":0.025704255,"about_ca_system_score_codex":0.0014785905,"about_ca_system_score_gemma":0.002353684,"threshold_uncertainty_score":0.085989356},"labels":[],"label_agreement":null},{"id":"W2955529518","doi":"10.1016/j.renene.2019.06.047","title":"Chaotic wind power time series prediction via switching data-driven modes","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","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":"University of Alberta","funders":"","keywords":"Intermittency; Wind power; Markov chain; Chaotic; Series (stratigraphy); Time series; Wind speed; Computer science; Power (physics); Hidden Markov model; Data mining; Engineering; Meteorology; Artificial intelligence; Machine learning","score_opus":0.0078985129955333,"score_gpt":0.18337380286114538,"score_spread":0.1754752898656121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955529518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29534718,0.00025000528,0.70075786,0.00020056807,0.000054425327,0.000042885917,0.00014670263,0.0004936659,0.002706661],"genre_scores_gemma":[0.98817796,0.000073551266,0.010782398,0.00001247435,0.0000084826015,0.000030430167,0.000074350806,0.000011816381,0.00082853204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985635,0.000029688917,0.000010144761,0.000043907847,0.000041977513,0.000017888211],"domain_scores_gemma":[0.99974364,0.00011326384,0.00004433429,0.000032926688,0.000051238385,0.000014535954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035153597,0.00040480145,0.00046380237,0.00027449575,0.00019460224,0.00042407878,0.00050625816,0.0003140413,0.00052681065],"category_scores_gemma":[0.0009822494,0.0002840515,0.00053972803,0.00026138886,0.00026485656,0.00059737096,0.0003770679,0.00058439694,0.00010539258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043936954,0.000029162085,0.0024473309,0.000020612464,0.00003579401,0.00004841004,0.000040596966,0.9756537,0.0016220956,0.0019746907,0.00017421508,0.017909514],"study_design_scores_gemma":[8.250347e-7,0.000004179037,0.00012595559,5.996573e-7,0.0000014540309,0.0000023554255,0.0000010472452,0.9994173,0.00010718674,0.0003103181,0.000027671174,0.0000010771199],"about_ca_topic_score_codex":0.0048356405,"about_ca_topic_score_gemma":0.0036430277,"teacher_disagreement_score":0.0048356405,"about_ca_system_score_codex":0.0002757622,"about_ca_system_score_gemma":0.00040150265,"threshold_uncertainty_score":0.009615004},"labels":[],"label_agreement":null},{"id":"W2966508766","doi":"10.1016/j.renene.2019.07.097","title":"Flexibility requirements and electricity system planning: Assessing inter-regional coordination with large penetrations of variable renewable supplies","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology; University of Victoria","funders":"","keywords":"Variable renewable energy; Renewable energy; Environmental economics; Flexibility (engineering); Software deployment; Electricity; Variable (mathematics); Capacity planning; Business; Electricity generation; Electric power system; Environmental resource management; Risk analysis (engineering); Computer science; Operations management; Environmental science; Engineering; Economics","score_opus":0.012315081535375185,"score_gpt":0.22710337397739028,"score_spread":0.21478829244201508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966508766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867132,0.000066308734,0.01034232,0.00010336759,0.000006232026,0.000042748496,0.00022616002,0.000032033055,0.0024676286],"genre_scores_gemma":[0.9986694,0.00001489,0.0011062967,0.0000030527171,0.000001779602,0.000009571497,0.000060952425,0.000005553818,0.00012843813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999278,0.00040833003,0.000026116166,0.00009842434,0.00009474498,0.00009449052],"domain_scores_gemma":[0.9940851,0.0045239725,0.00059555745,0.00020143326,0.00027539334,0.00031847137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021943715,0.00082315155,0.00059716945,0.0008230853,0.00037227178,0.0011720078,0.00081516086,0.0010081687,0.0013128102],"category_scores_gemma":[0.007966904,0.0006061271,0.00079139316,0.0011990286,0.00063943723,0.0017503051,0.0006807814,0.00075712305,0.0001242012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012786633,0.0000378226,0.0044383663,0.000009597459,0.000038730435,0.00005217095,0.000013441765,0.9932539,0.00022427355,0.0005253262,0.000055063585,0.0012235028],"study_design_scores_gemma":[0.000028799454,0.00018737491,0.011576234,0.0000039445113,0.000028152497,0.000030348623,0.000075943055,0.9866172,0.0004444907,0.00092645205,0.00006844467,0.000012675851],"about_ca_topic_score_codex":0.016847022,"about_ca_topic_score_gemma":0.014207324,"teacher_disagreement_score":0.016847022,"about_ca_system_score_codex":0.0015167132,"about_ca_system_score_gemma":0.00071436464,"threshold_uncertainty_score":0.03349793},"labels":[],"label_agreement":null},{"id":"W2966702713","doi":"10.1016/j.renene.2019.08.042","title":"CFD study of heat transfer and fluid flow in a parabolic trough solar receiver with internal annular porous structure and synthetic oil–Al2O3 nanofluid","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"University of Alberta","funders":"","keywords":"Nanofluid; Pressure drop; Parabolic trough; Heat transfer; Materials science; Heat transfer coefficient; Thermodynamics; Reynolds number; Porous medium; Heat transfer enhancement; Mechanics; Volume fraction; Porosity; Thermal; Turbulence; Composite material","score_opus":0.005410417189525035,"score_gpt":0.18629302220606986,"score_spread":0.18088260501654482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966702713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827763,0.0001721245,0.011026385,0.00028612133,0.0000725316,0.000031057716,0.00018571754,0.0002127338,0.0052371006],"genre_scores_gemma":[0.9959674,0.000049966977,0.0021904614,0.000017519564,0.000010135069,0.000010476744,0.000056915647,0.000017043572,0.0016801355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983275,0.000023113798,0.00001092529,0.000044577493,0.00004911434,0.0000394699],"domain_scores_gemma":[0.9996213,0.00020945615,0.000039714047,0.000025742951,0.000068287045,0.000035533434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002525349,0.000345282,0.00068499014,0.000375847,0.0009333698,0.0007631512,0.000557402,0.0009918819,0.0015837159],"category_scores_gemma":[0.0005494499,0.00033566295,0.0007048069,0.00034352788,0.0009456695,0.00065645226,0.00044118962,0.00049200596,0.00021706166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007299947,0.00039747136,0.0143823745,0.0002426564,0.00006606412,0.0013730427,0.00038743613,0.77794635,0.1884328,0.0029296314,0.001138516,0.011973648],"study_design_scores_gemma":[0.000048847785,0.000116250994,0.0030700334,0.000008133801,0.000018128665,0.00007070857,0.00010051958,0.97207534,0.023828017,0.00015750853,0.0004775957,0.00002877746],"about_ca_topic_score_codex":0.011488107,"about_ca_topic_score_gemma":0.004406493,"teacher_disagreement_score":0.011488107,"about_ca_system_score_codex":0.00096275134,"about_ca_system_score_gemma":0.0011469394,"threshold_uncertainty_score":0.022842467},"labels":[],"label_agreement":null},{"id":"W2971102074","doi":"10.1016/j.renene.2019.08.113","title":"Corrigendum to “Optimal design of electric vehicle charging stations considering various energy resources” [Int. J. Renew. Energy 107 (July 2017) 576–589]","year":2019,"lang":"en","type":"erratum","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","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":"Energy (signal processing); INT; Electric vehicle; Automotive engineering; Computer science; Environmental science; Operations research; Engineering; Mathematics; Physics; Statistics; Operating system; Power (physics)","score_opus":0.011374636524142083,"score_gpt":0.19708630692064824,"score_spread":0.18571167039650616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971102074","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":[0.0002742161,0.00544143,0.004574677,0.036711697,0.92311233,0.000089534,0.0019180997,0.0005932299,0.027284766],"genre_scores_gemma":[0.011786768,0.024920627,0.011410331,0.042401258,0.17242691,0.00029858894,0.006732995,0.0016105847,0.72841185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976145,0.00034076505,0.00029286472,0.00031383018,0.0012270825,0.00021089143],"domain_scores_gemma":[0.99127835,0.0014404764,0.00021794741,0.00042378937,0.0064296112,0.00020981675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016673648,0.0024814068,0.0022025588,0.0030482465,0.0022321842,0.0026022657,0.003496113,0.0045517194,0.11185426],"category_scores_gemma":[0.013822307,0.00091526535,0.0023776293,0.003013916,0.001246594,0.002507137,0.0017673833,0.0050907056,0.06308533],"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":[0.000022432989,0.000008877341,0.000034556695,0.00013942548,0.0000075572148,0.00008338141,0.000010342913,0.00023899601,0.00009200709,0.0014584177,0.99034715,0.007556837],"study_design_scores_gemma":[0.000024830539,0.000040877272,0.00062964647,0.00024698486,0.00003430783,0.00017017762,0.000050123206,0.0013212546,0.00060901244,0.0043956786,0.9924293,0.00004767266],"about_ca_topic_score_codex":0.035432585,"about_ca_topic_score_gemma":0.04901027,"teacher_disagreement_score":0.11185426,"about_ca_system_score_codex":0.0039272066,"about_ca_system_score_gemma":0.0032027906,"threshold_uncertainty_score":0.37418973},"labels":[],"label_agreement":null},{"id":"W2973224411","doi":"10.1016/j.renene.2019.09.039","title":"Alternative heating systems for northern remote communities: Techno-economic analysis of ground-coupled heat pumps in Kuujjuaq, Nunavik, Canada","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Heat pump; Environmental science; Subarctic climate; Geothermal gradient; Geothermal energy; Heating system; Work (physics); Geothermal heating; Borehole; Electricity; Renewable heat; Renewable energy; Heat exchanger; Environmental engineering; Geography; Engineering; Geology","score_opus":0.010830260925569938,"score_gpt":0.21782217056049835,"score_spread":0.20699190963492842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973224411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99391407,0.00022844579,0.000883634,0.00017636834,0.000010107232,0.00009567824,0.00055271096,0.000023871136,0.0041150684],"genre_scores_gemma":[0.9975078,0.00013343075,0.0004426386,0.000010223453,0.0000025245522,0.000026551248,0.00019255556,0.000007475095,0.0016768323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991798,0.00018400927,0.000023327739,0.00007375249,0.00015699392,0.00038211438],"domain_scores_gemma":[0.9991097,0.00038152846,0.00006329938,0.0000265825,0.0002608129,0.00015816434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009071148,0.00067130727,0.0008295094,0.0009456434,0.0024513449,0.0029487102,0.0016390083,0.0008375527,0.0029794911],"category_scores_gemma":[0.0017983082,0.00066099217,0.0010860277,0.0016513908,0.0013845875,0.00091549,0.0008966783,0.0010301739,0.00010469232],"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":[0.00081149,0.0003828374,0.045797758,0.00019662065,0.00021878043,0.0008193234,0.00029538866,0.9317228,0.0031337314,0.0066576614,0.0015713183,0.008392201],"study_design_scores_gemma":[0.00018408416,0.00032160498,0.07531333,0.000045483797,0.00018785961,0.00008445608,0.004052606,0.9148408,0.0015480979,0.0013096767,0.002016398,0.00009568284],"about_ca_topic_score_codex":0.9598984,"about_ca_topic_score_gemma":0.97574764,"teacher_disagreement_score":0.040101588,"about_ca_system_score_codex":0.034401365,"about_ca_system_score_gemma":0.018659795,"threshold_uncertainty_score":0.24960053},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2973544303","doi":"10.1016/j.renene.2019.09.098","title":"Optimisation and characterisation of hydrochar production from spent coffee grounds by hydrothermal carbonisation","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":156,"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":"Heat of combustion; Hydrothermal carbonization; Coal; Pulp and paper industry; Yield (engineering); Anthracite; Combustion; Electricity generation; Environmental science; Biomass (ecology); Chemistry; Waste management; Materials science; Geology; Metallurgy; Engineering","score_opus":0.004269586164381671,"score_gpt":0.16501225965795457,"score_spread":0.1607426734935729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973544303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99683136,0.00031741976,0.0015688676,0.00002767435,0.0000081262715,0.000027408256,0.00015671396,0.000017912364,0.0010447009],"genre_scores_gemma":[0.9971559,0.00027337563,0.0011038282,0.0000062800186,0.0000025145566,0.000011772318,0.00018863285,0.0000150298665,0.0012426348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997882,0.000025993078,0.000012639956,0.000032781147,0.000091099304,0.00004932596],"domain_scores_gemma":[0.99991286,0.000021570992,0.000012526264,0.000012591707,0.000027862063,0.00001255298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026860804,0.0002868076,0.00031032693,0.00028573824,0.00024114492,0.0005802919,0.00021640719,0.00028034058,0.0009122516],"category_scores_gemma":[0.00032683188,0.00015909187,0.00030685478,0.00034821496,0.0002773865,0.00024267692,0.0002319532,0.00034092966,0.00022944152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022130385,0.000035978843,0.0005095348,0.0000919141,0.000010504175,0.000059332153,0.00003711686,0.0008777848,0.9925793,0.00006424433,0.00003168135,0.0054812706],"study_design_scores_gemma":[0.000008351569,0.00019978861,0.004038228,0.0000067769943,0.000011558042,0.000041435967,0.00004308051,0.0012961212,0.9933113,0.0000258621,0.0010090506,0.000008336998],"about_ca_topic_score_codex":0.0018467868,"about_ca_topic_score_gemma":0.003410759,"teacher_disagreement_score":0.0018467868,"about_ca_system_score_codex":0.00038870072,"about_ca_system_score_gemma":0.0003489113,"threshold_uncertainty_score":0.0036720634},"labels":[],"label_agreement":null},{"id":"W2975362660","doi":"10.1016/j.renene.2019.09.102","title":"Forecasting the aggregated output of a large fleet of small behind-the-meter solar photovoltaic sites","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","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":"University of Calgary","funders":"","keywords":"Photovoltaic system; Metre; Electricity generation; Meteorology; Computer science; Solar power; Mean squared error; Power (physics); Environmental science; Electricity; Engineering; Electrical engineering; Statistics; Mathematics; Geography","score_opus":0.023840651252365064,"score_gpt":0.21922092548902067,"score_spread":0.1953802742366556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975362660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279445,0.000068413065,0.0032657618,0.00017880132,0.000048653947,0.000010355251,0.0023403168,0.00017187188,0.0011212227],"genre_scores_gemma":[0.99650156,0.000039829065,0.001058499,0.0000101659325,0.000016160373,0.0000051695615,0.0017304877,0.000011046218,0.000627049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998758,0.00001811901,0.000007433715,0.000041071846,0.00003075365,0.000026903692],"domain_scores_gemma":[0.99944896,0.00021391084,0.000061723,0.000058612186,0.000119285025,0.000097513155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035983266,0.0006379505,0.00046447729,0.00050363265,0.00023823214,0.0005214782,0.0004958875,0.00084906194,0.0010615162],"category_scores_gemma":[0.0009955391,0.00028905473,0.00047224335,0.0010146927,0.00021591505,0.000790419,0.00029912,0.000734499,0.00026660215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023884025,0.00012714406,0.03515515,0.00003378873,0.00009242828,0.00025787993,0.0000463065,0.9517858,0.0031135983,0.00037647694,0.0019944832,0.0067779515],"study_design_scores_gemma":[0.000008727714,0.00004453845,0.018456042,0.0000021684634,0.000011632731,0.00001682327,0.000049107937,0.98029065,0.00058806915,0.0002633126,0.00026231882,0.000006612081],"about_ca_topic_score_codex":0.026416553,"about_ca_topic_score_gemma":0.02707621,"teacher_disagreement_score":0.026416553,"about_ca_system_score_codex":0.00076024415,"about_ca_system_score_gemma":0.0003054957,"threshold_uncertainty_score":0.05252558},"labels":[],"label_agreement":null},{"id":"W2978017439","doi":"10.1016/j.renene.2019.09.141","title":"Numerical modeling of a coaxial borehole heat exchanger to exploit geothermal energy from abandoned petroleum wells in Hinton, Alberta","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":168,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Borehole; Geothermal energy; Petroleum engineering; Geothermal gradient; Coaxial; Petroleum; Exploit; Heat exchanger; Geology; Environmental science; Engineering; Geotechnical engineering; Mechanical engineering; Computer science; Geophysics","score_opus":0.010983705483633931,"score_gpt":0.20912683466332338,"score_spread":0.19814312917968946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978017439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96708274,0.00013917571,0.008292013,0.00029325747,0.00005393961,0.00006879008,0.00030359716,0.00012444913,0.023642141],"genre_scores_gemma":[0.9944272,0.000061392486,0.0011624007,0.000014906741,0.000003691613,0.000019483485,0.00006177689,0.000014330972,0.0042347894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998549,0.000019968278,0.000005817111,0.000024167102,0.000033885844,0.0000611956],"domain_scores_gemma":[0.9997676,0.00009220597,0.000023942985,0.0000115295015,0.00006107634,0.00004364529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024517818,0.0004982321,0.0005456533,0.0005080555,0.0016200237,0.001442892,0.0011520655,0.0014319903,0.002881629],"category_scores_gemma":[0.0005567523,0.0004191777,0.00048096952,0.0006258231,0.0013195411,0.000542627,0.0007375066,0.0006925403,0.00019396721],"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":[0.00008644972,0.00008302078,0.0037007406,0.000019351486,0.000008793811,0.00014819884,0.000041124105,0.9909725,0.0022915846,0.0010109446,0.00025520014,0.0013820267],"study_design_scores_gemma":[0.000025199311,0.000044227058,0.0022165289,0.0000043822965,0.0000061137926,0.000012809763,0.00014166416,0.9963852,0.0007585648,0.00013870424,0.0002573251,0.000009323229],"about_ca_topic_score_codex":0.4665955,"about_ca_topic_score_gemma":0.41847634,"teacher_disagreement_score":0.53340447,"about_ca_system_score_codex":0.0043526734,"about_ca_system_score_gemma":0.0049129087,"threshold_uncertainty_score":0.92775923},"labels":[],"label_agreement":null},{"id":"W2986150547","doi":"10.1016/j.renene.2019.11.055","title":"Numerical analysis and validation of a natural convection mix-mode solar dryer for drying red chilli under variable conditions","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":80,"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 New Brunswick","funders":"","keywords":"Solar dryer; Relative humidity; Sunshine duration; Environmental science; Moisture; Mass transfer; Convection; Water content; Meteorology; Humidity; Natural convection; Atmospheric sciences; Environmental engineering; Thermodynamics; Geography; Engineering; Geology; Physics; Geotechnical engineering","score_opus":0.012189199627945502,"score_gpt":0.22995577999680678,"score_spread":0.21776658036886126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986150547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780531,0.00014138006,0.017437458,0.00009345052,0.000027339378,0.0000563557,0.00013310768,0.00016132057,0.003896493],"genre_scores_gemma":[0.9929141,0.000045232002,0.005978787,0.000011393289,0.0000029531277,0.000021849106,0.00004319457,0.000013094949,0.00096923625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991465,0.000012702379,0.0000048378693,0.000018820618,0.000034853394,0.000014084703],"domain_scores_gemma":[0.999762,0.0001262579,0.000022141321,0.000026838949,0.000044516775,0.000018115634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002818604,0.00025256185,0.000544338,0.00020750999,0.00046654334,0.0004858458,0.0005826295,0.00065927336,0.0013506666],"category_scores_gemma":[0.00053106074,0.00019060622,0.0003714688,0.00019721585,0.00039142428,0.0002765626,0.0003357649,0.0003313974,0.0001398314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043233144,0.0002744055,0.0043022498,0.0002526545,0.0000398528,0.00022207385,0.00016721882,0.77757025,0.19772418,0.000878041,0.0005115252,0.017625254],"study_design_scores_gemma":[0.00004274211,0.0001506824,0.0018688075,0.0000041733783,0.000011136205,0.000022691245,0.000034776043,0.9741184,0.023269832,0.00008598276,0.00038027533,0.000010557584],"about_ca_topic_score_codex":0.0043792194,"about_ca_topic_score_gemma":0.0036773956,"teacher_disagreement_score":0.0043792194,"about_ca_system_score_codex":0.0004130325,"about_ca_system_score_gemma":0.00040873807,"threshold_uncertainty_score":0.008707464},"labels":[],"label_agreement":null},{"id":"W2986801881","doi":"10.1016/j.renene.2019.11.073","title":"Evaluation of technology, economics and emissions impacts of community-scale bioenergy systems for a forest-based community in Ontario","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Renewable energy; Environmental science; Biomass (ecology); Bioenergy; Natural gas; Fossil fuel; Greenhouse gas; Electricity; Electricity generation; Environmental engineering; Environmental economics; Waste management; Engineering; Power (physics); Economics; Ecology","score_opus":0.0332111416857882,"score_gpt":0.2878339102437089,"score_spread":0.2546227685579207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986801881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933816,0.00007098977,0.00027968525,0.00013283941,0.0000037899051,0.0002727323,0.0001879696,0.00001454129,0.005655849],"genre_scores_gemma":[0.9950204,0.00013711036,0.0008101837,0.000025347508,0.0000022770698,0.00007307553,0.00018158177,0.000004633374,0.0037454066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986505,0.00032536546,0.00003887137,0.00011101274,0.00044539076,0.00042889753],"domain_scores_gemma":[0.997787,0.0003593936,0.00013597532,0.00008401798,0.0011579769,0.00047570386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011869102,0.00035432418,0.00029385235,0.00061633124,0.0036182974,0.0016024946,0.001114459,0.00048280394,0.0025465558],"category_scores_gemma":[0.002288575,0.00022547932,0.00051085674,0.0009094805,0.0012116919,0.0006806753,0.0009647852,0.00045022997,0.00020259211],"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":[0.012624195,0.009268314,0.5538754,0.0020649019,0.0006660279,0.0042585353,0.011264298,0.08249802,0.059121106,0.012294362,0.0076738046,0.2443911],"study_design_scores_gemma":[0.0011341373,0.009299996,0.8314133,0.00024074121,0.0005127728,0.000447699,0.036840957,0.06522378,0.023663394,0.0022049868,0.028864965,0.0001532416],"about_ca_topic_score_codex":0.9357922,"about_ca_topic_score_gemma":0.9785795,"teacher_disagreement_score":0.06420779,"about_ca_system_score_codex":0.06046139,"about_ca_system_score_gemma":0.040354118,"threshold_uncertainty_score":0.4386801},"labels":[],"label_agreement":null},{"id":"W2989069434","doi":"10.1016/j.renene.2019.10.165","title":"Effect of fish steroids 17β-estradiol and 17,20β-dihydroxy-4-pregnen-3-one on growth, accumulation of pigments, and fatty acid profiles in the microalgae Scenedesmus quadricauda (CPCC-158)","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Algal biology and biofuel production","field":"Energy","cited_by":17,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Carotenoid; Algae; Aquaculture; Biomass (ecology); Chlorophyll; Scenedesmus; Steroid; Biology; Hormone; Chlorophyll a; Fish <Actinopterygii>; Food science; Chemistry; Botany; Biochemistry; Fishery; Agronomy","score_opus":0.01627061180699924,"score_gpt":0.24686061412839047,"score_spread":0.23059000232139124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989069434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985812,0.00052340195,0.000044339788,0.00005183644,0.000021702797,0.0000041836365,0.00016790969,0.000007512835,0.0005979636],"genre_scores_gemma":[0.9952976,0.00047954833,0.00014390518,0.000083004124,0.000008815034,0.000010469739,0.0003520612,0.0000075207736,0.0036171188],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989486,0.000020756277,0.000010461087,0.000021388701,0.000013965466,0.000038522656],"domain_scores_gemma":[0.99974996,0.000085808686,0.000030544663,0.000023338112,0.000033733206,0.00007670466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012667976,0.00030702245,0.00031215986,0.0001540352,0.00019814887,0.00026259184,0.00015263191,0.00026575808,0.0017774083],"category_scores_gemma":[0.00024391446,0.0002229595,0.00030308435,0.00019120675,0.0003189426,0.00025165183,0.00023371942,0.00039445751,0.0003134147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0125693055,0.00033837746,0.005418647,0.00013680228,0.000068443005,0.0003761918,0.0002792686,0.0003413809,0.97480243,0.00016711807,0.0002340158,0.005268043],"study_design_scores_gemma":[0.00034367474,0.0058258926,0.052098792,0.000020845911,0.00013035318,0.0002846057,0.00069992035,0.0011438073,0.93490684,0.00013304543,0.0043684198,0.000043700882],"about_ca_topic_score_codex":0.0067154216,"about_ca_topic_score_gemma":0.007968988,"teacher_disagreement_score":0.0067154216,"about_ca_system_score_codex":0.0003569526,"about_ca_system_score_gemma":0.00047931776,"threshold_uncertainty_score":0.0133526325},"labels":[],"label_agreement":null},{"id":"W2989604909","doi":"10.1016/j.renene.2019.11.088","title":"Numerical study on the application of biodiesel and bioethanol in a multiple injection diesel engine","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":73,"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":"Biodiesel; NOx; Diesel engine; Diesel fuel; Biofuel; Fuel injection; Combustion; Environmental science; Automotive engineering; Common rail; Combustion chamber; Dwell time; Waste management; Materials science; Engineering; Chemistry; Medicine","score_opus":0.01507796466884439,"score_gpt":0.21716968497398653,"score_spread":0.20209172030514214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989604909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96944964,0.00048721163,0.0072089178,0.0003834426,0.00009987628,0.000044518034,0.0001890971,0.00007468014,0.022062672],"genre_scores_gemma":[0.99633634,0.00012058565,0.0014386083,0.000027330922,0.000010707026,0.000013544917,0.000049407427,0.000009996801,0.0019934287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984646,0.000026461219,0.000009480515,0.000024064924,0.000043415497,0.00005009141],"domain_scores_gemma":[0.99931645,0.00038250833,0.00007658035,0.00003067893,0.00013307358,0.000060687707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003252271,0.00048406218,0.00086770393,0.0007918755,0.0009425994,0.0011806346,0.0008711129,0.0016828898,0.0028957247],"category_scores_gemma":[0.001350565,0.0003610687,0.00089286827,0.0007870942,0.00079873606,0.0006816802,0.00061128056,0.00064565014,0.0001735056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020594623,0.00019940654,0.0032843396,0.0001259939,0.000030927706,0.00047316457,0.000052852287,0.9854204,0.0055816704,0.0014673494,0.00030010386,0.0028577375],"study_design_scores_gemma":[0.000025649018,0.000068809364,0.001191984,0.00000792128,0.000015953245,0.000027818203,0.0000703132,0.996944,0.001228296,0.00018103281,0.00022669064,0.0000115501725],"about_ca_topic_score_codex":0.020867992,"about_ca_topic_score_gemma":0.011682197,"teacher_disagreement_score":0.020867992,"about_ca_system_score_codex":0.00084851723,"about_ca_system_score_gemma":0.0008140749,"threshold_uncertainty_score":0.04149306},"labels":[],"label_agreement":null},{"id":"W2999361847","doi":"10.1016/j.renene.2020.01.058","title":"Feasibility and performance of ground source heat pump systems for commercial applications in tropical and subtropical climates","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":59,"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 Science and Technology, Taiwan; Ministry of Science and Technology; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Heat pump; Environmental science; Humid subtropical climate; Subtropics; Tropical climate; Tropics; Engineering; Environmental engineering; Civil engineering; Geography; Mechanical engineering; Ecology","score_opus":0.027099222230052192,"score_gpt":0.24099637540050886,"score_spread":0.21389715317045666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999361847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686486,0.00010036105,0.0019434573,0.00005447676,0.00001081376,0.00002195894,0.00010657857,0.000061140614,0.0008364068],"genre_scores_gemma":[0.9989139,0.00004159436,0.00064977095,0.000004879497,0.0000037106677,0.000008699938,0.00006274071,0.000008086421,0.00030669366],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996412,0.00009588539,0.000018316128,0.000060239483,0.000108609594,0.000075770324],"domain_scores_gemma":[0.999338,0.0002547519,0.000046657995,0.000042878997,0.00027387118,0.000043829623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008114494,0.00026785262,0.00025320635,0.00027651436,0.00085650355,0.00067605573,0.00047973005,0.00040143757,0.0033424906],"category_scores_gemma":[0.0012062369,0.00019939081,0.00027707938,0.00028763953,0.0004465873,0.0010028081,0.0003077472,0.0003304982,0.0004612689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007332644,0.00067526096,0.051426075,0.00038652608,0.00008713104,0.00024268475,0.0004997777,0.018111894,0.8438615,0.0010560936,0.0011340413,0.075186335],"study_design_scores_gemma":[0.0003327157,0.0061820173,0.09550667,0.000025373753,0.00014276011,0.00018690323,0.00087563583,0.104402594,0.7881731,0.0004848902,0.0036188783,0.000068506],"about_ca_topic_score_codex":0.0044442383,"about_ca_topic_score_gemma":0.0036395951,"teacher_disagreement_score":0.0044442383,"about_ca_system_score_codex":0.0006074729,"about_ca_system_score_gemma":0.0006504373,"threshold_uncertainty_score":0.011181712},"labels":[],"label_agreement":null},{"id":"W3002963728","doi":"10.1016/j.renene.2020.01.083","title":"Influence of hard marine fouling on energy harvesting from Vortex-Induced Vibrations of a single-cylinder","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fluid Dynamics and Vibration Analysis","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 Windsor","funders":"Sharif University of Technology; University of Michigan","keywords":"Fouling; Towing; Vortex-induced vibration; Biofouling; Vibration; Cylinder; Vortex; Vortex shedding; Mechanics; Environmental science; Materials science; Marine engineering; Turbulence; Engineering; Physics; Chemistry; Acoustics; Reynolds number; Mechanical engineering","score_opus":0.020238104453248314,"score_gpt":0.197338676587561,"score_spread":0.17710057213431268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002963728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972236,0.000065583255,0.0014996282,0.000026152356,0.000016317492,0.0000031665136,0.000012461459,0.000015078927,0.0011379941],"genre_scores_gemma":[0.99970824,0.000019388192,0.00008746009,0.0000037150248,0.0000015299447,0.0000011481981,0.0000055168457,0.0000033118804,0.00016973735],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990654,0.000011906039,0.000003115342,0.00001241642,0.000023937248,0.000042129457],"domain_scores_gemma":[0.99968076,0.00020969486,0.000023556164,0.000015680509,0.00003142558,0.00003887675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016025385,0.00018776287,0.00030736305,0.00018553756,0.0003674356,0.00042312074,0.00016017472,0.00024588633,0.001362217],"category_scores_gemma":[0.00067934545,0.0000815554,0.00021611544,0.00010701403,0.00060802954,0.00021826496,0.00037663,0.00021860067,0.00012344966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015083307,0.000120336,0.0035693878,0.00013310483,0.000037745198,0.00073990115,0.0002459949,0.04522762,0.93231595,0.0010861108,0.0002535682,0.014761861],"study_design_scores_gemma":[0.00006681387,0.0009420536,0.039290402,0.00003284915,0.000066363566,0.00026228282,0.00066462567,0.50508034,0.45179752,0.0008723726,0.00085981097,0.00006461936],"about_ca_topic_score_codex":0.0007655377,"about_ca_topic_score_gemma":0.00058643776,"teacher_disagreement_score":0.001362217,"about_ca_system_score_codex":0.00016496285,"about_ca_system_score_gemma":0.00018136621,"threshold_uncertainty_score":0.0045570135},"labels":[],"label_agreement":null},{"id":"W3003293394","doi":"10.1016/j.renene.2020.01.140","title":"Estimating biofuel density via a soft computing approach based on intermolecular interactions","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Process Optimization and Integration","field":"Engineering","cited_by":65,"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":"Artificial neural network; Adaptive neuro fuzzy inference system; Mean squared error; Radial basis function; Multilayer perceptron; Soft computing; Perceptron; van der Waals force; Computer science; Mean absolute percentage error; Artificial intelligence; Fuzzy logic; Machine learning; Mathematics; Statistics; Fuzzy control system; Chemistry","score_opus":0.010772248536503819,"score_gpt":0.20606456419234992,"score_spread":0.1952923156558461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003293394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16836323,0.0003330996,0.82560784,0.00019599778,0.00005610859,0.000054605563,0.00010463097,0.00036290105,0.004921588],"genre_scores_gemma":[0.89752644,0.000236814,0.100223266,0.00007226339,0.000042424934,0.0000973041,0.00012260795,0.00007998798,0.0015987643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997911,0.000053143074,0.000008999902,0.000038551476,0.00008447208,0.000023638524],"domain_scores_gemma":[0.9992193,0.0005394939,0.00006728199,0.00005644382,0.00008121541,0.00003619325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005028076,0.0006435773,0.0007676182,0.00086865533,0.00061157666,0.0010231985,0.0009981162,0.0010326712,0.0012225622],"category_scores_gemma":[0.0018511413,0.0005220377,0.0006436804,0.0007992355,0.00056734757,0.0013567952,0.0007569726,0.0009345596,0.00020851774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046110243,0.00008005483,0.0007806502,0.000038506383,0.000035684076,0.000037462094,0.000012281385,0.97388893,0.003977521,0.00553358,0.00013885897,0.015430371],"study_design_scores_gemma":[7.7045996e-7,0.0000024267829,0.000039127244,6.540717e-7,0.0000013318551,0.0000016344349,0.0000013085458,0.9989864,0.00032110096,0.000622776,0.000021126374,0.0000012239636],"about_ca_topic_score_codex":0.0046602627,"about_ca_topic_score_gemma":0.004254233,"teacher_disagreement_score":0.0046602627,"about_ca_system_score_codex":0.00048583356,"about_ca_system_score_gemma":0.00070056587,"threshold_uncertainty_score":0.009266257},"labels":[],"label_agreement":null},{"id":"W3004049279","doi":"10.1016/j.renene.2020.01.115","title":"Transposition of the mechanical behavior from model to prototype of Francis turbines","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":26,"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":"Ministerio de Educación, Cultura y Deporte; BC Hydro; European Commission","keywords":"Francis turbine; Similitude; Flexibility (engineering); Transposition (logic); Engineering; Hydropower; Mechanical engineering; Work (physics); Computer science; Simulation; Marine engineering; Artificial intelligence; Electrical engineering","score_opus":0.015363362534429586,"score_gpt":0.2023985981541407,"score_spread":0.18703523561971114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004049279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67811465,0.00023584274,0.26148486,0.00067293335,0.00049205916,0.00025462505,0.002040357,0.00887152,0.047833145],"genre_scores_gemma":[0.9810801,0.000061858234,0.013377177,0.000028540626,0.000007950177,0.00007218717,0.00050830503,0.0002138268,0.004650027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998062,0.000024484014,0.000007569489,0.00003890055,0.000096785196,0.000025951538],"domain_scores_gemma":[0.9995869,0.00009354673,0.00002579891,0.00013523169,0.0001427389,0.000015774725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022103249,0.0004325989,0.0003750907,0.00026468717,0.00031146157,0.00054191577,0.00081395434,0.0008803672,0.009164867],"category_scores_gemma":[0.0010031587,0.00027086135,0.00054655096,0.0001245127,0.00030780234,0.0004945502,0.0002538653,0.00060780736,0.0013254856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089938706,0.0002713078,0.0057982663,0.0011755527,0.000127496,0.0010896504,0.00054292736,0.44132265,0.42507538,0.010566421,0.012335471,0.10079543],"study_design_scores_gemma":[0.000080325866,0.0009306343,0.008725347,0.00004828116,0.000061479535,0.00038956126,0.00014192922,0.8167367,0.15490216,0.001673186,0.016248483,0.00006183045],"about_ca_topic_score_codex":0.0034611053,"about_ca_topic_score_gemma":0.0022114632,"teacher_disagreement_score":0.009164867,"about_ca_system_score_codex":0.00035051847,"about_ca_system_score_gemma":0.00044807268,"threshold_uncertainty_score":0.030659556},"labels":[],"label_agreement":null},{"id":"W3005872214","doi":"10.1016/j.renene.2020.02.039","title":"Optimization of process variables for the production of biodiesel by transesterification of used cooking oil using lipase from Nile tilapia viscera","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":70,"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":"Thaksin University; National Research Council of Thailand","keywords":"Biodiesel; Transesterification; EN 14214; Nile tilapia; Lipase; Biodiesel production; Methanol; Pulp and paper industry; Chemistry; Raw material; Yield (engineering); Waste management; Biotechnology; Catalysis; Materials science; Organic chemistry; Oreochromis; Fishery; Biology; Engineering; Composite material","score_opus":0.02700649806059206,"score_gpt":0.22686519651746884,"score_spread":0.1998586984568768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005872214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927671,0.0006273217,0.0055002626,0.00005927505,0.000019612713,0.000033477118,0.00012764934,0.000036857404,0.00082839257],"genre_scores_gemma":[0.9954223,0.00045957102,0.0034153752,0.0000141778455,0.0000030384422,0.000040882052,0.00015652753,0.000014008286,0.00047408635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984026,0.000020942003,0.000020681879,0.000041136947,0.00004025931,0.000036608202],"domain_scores_gemma":[0.99990404,0.000036632544,0.00002420746,0.0000041249555,0.000018659252,0.000012262796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036307832,0.0006081055,0.00070108887,0.00039465853,0.00020221656,0.0011123959,0.00034147728,0.00035415028,0.0008070151],"category_scores_gemma":[0.00046139755,0.00020559611,0.00060965406,0.00054094044,0.00022940301,0.0004532129,0.0003645574,0.000659377,0.00018918778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011918873,0.00043172608,0.0015386755,0.00039932382,0.00006213885,0.00016752775,0.00006873672,0.02122021,0.9641748,0.00021689129,0.0000719454,0.010456125],"study_design_scores_gemma":[0.00013517703,0.0013025611,0.005369966,0.000030330122,0.00016061767,0.00005746673,0.00015833727,0.042815525,0.94862366,0.00014834914,0.0011611427,0.000036967183],"about_ca_topic_score_codex":0.0016133846,"about_ca_topic_score_gemma":0.0021980666,"teacher_disagreement_score":0.0016133846,"about_ca_system_score_codex":0.00050344184,"about_ca_system_score_gemma":0.0006200641,"threshold_uncertainty_score":0.0036526918},"labels":[],"label_agreement":null},{"id":"W3005976824","doi":"10.1016/j.renene.2020.02.055","title":"Effects of runner change on the Winter-Kennedy flow measurement method – A numerical study","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fluid Dynamics and Turbulent Flows","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":"Hydro-Québec","funders":"","keywords":"Turbine; Reynolds number; Mechanics; Casing; Flow (mathematics); Mathematics; Standard deviation; Spiral (railway); Specific speed; Environmental science; Physics; Statistics; Turbulence; Thermodynamics; Mathematical analysis","score_opus":0.024347639500338344,"score_gpt":0.2134334129482855,"score_spread":0.18908577344794714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005976824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928981,0.00015949084,0.005471934,0.000032230924,0.000017188646,0.000017253944,0.00004145208,0.0000630599,0.0012994279],"genre_scores_gemma":[0.9983205,0.000035359535,0.0013761817,0.0000061496667,0.0000026359387,0.00000609297,0.000022784765,0.000014423484,0.00021591458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991308,0.00037249303,0.00004071627,0.00013397695,0.00020599249,0.000116116025],"domain_scores_gemma":[0.99464345,0.004223377,0.0003064494,0.00030656022,0.00041400568,0.000106013606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014837254,0.00032364193,0.00054209115,0.00046866995,0.00063911406,0.0007724348,0.00073204073,0.0009911456,0.0010299128],"category_scores_gemma":[0.0051063714,0.00019299904,0.000558854,0.000536597,0.00069757627,0.00077202235,0.00054280285,0.0004821729,0.00013848089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004644301,0.0014427657,0.09797748,0.00037631157,0.00021175039,0.00111501,0.00083487784,0.6234292,0.18672098,0.0020289158,0.00049774966,0.08072066],"study_design_scores_gemma":[0.000044641103,0.00088845956,0.04658592,0.000018481662,0.000090824986,0.000106026906,0.00030795502,0.90040886,0.050837934,0.0001457211,0.00049553707,0.000069519956],"about_ca_topic_score_codex":0.0115070585,"about_ca_topic_score_gemma":0.008591503,"teacher_disagreement_score":0.0115070585,"about_ca_system_score_codex":0.000551066,"about_ca_system_score_gemma":0.00029697805,"threshold_uncertainty_score":0.022880197},"labels":[],"label_agreement":null},{"id":"W3006203999","doi":"10.1016/j.renene.2020.02.043","title":"Estimating parasitic loads related to brine production from a hot sedimentary aquifer geothermal project: A case study from the Clarke Lake gas field, British Columbia","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Geothermal gradient; Geothermal energy; Aquifer; Geology; Hydrogeology; Petroleum engineering; Hydrology (agriculture); Brine; Environmental science; Water well; Natural gas field; Geothermal power; Groundwater; Natural gas; Geotechnical engineering; Engineering; Waste management; Paleontology","score_opus":0.014090749588758911,"score_gpt":0.23511223100932174,"score_spread":0.22102148142056283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006203999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988041,0.000009805699,0.00017600782,0.000011185704,3.4370345e-7,0.000017503651,0.00015843174,0.0000062392087,0.000816286],"genre_scores_gemma":[0.9983234,0.000036956917,0.00036159164,0.000004655782,3.4528213e-7,0.000007962837,0.00019247881,0.0000032557634,0.001069262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997696,0.000032490618,0.000007577959,0.000030105733,0.000099414945,0.000060812472],"domain_scores_gemma":[0.99957913,0.00012475484,0.0000514234,0.000019950287,0.0001796079,0.000045063276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024541345,0.00041798965,0.00022168741,0.0008668875,0.0012546709,0.00083965954,0.0006520045,0.00043903905,0.0006706125],"category_scores_gemma":[0.0007344245,0.00028183838,0.00016889963,0.001825977,0.00043992995,0.0002512323,0.00045439583,0.0003647684,0.00009899448],"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":[0.00032543924,0.00032942888,0.9180606,0.00008252358,0.00010020363,0.001836232,0.0025871177,0.031375196,0.014026499,0.00031924818,0.0008549111,0.03010253],"study_design_scores_gemma":[0.000021478656,0.00012858846,0.9620451,0.000015653692,0.000045207253,0.00010665615,0.0057820296,0.027314901,0.0034171185,0.000114627954,0.0009875868,0.000021069407],"about_ca_topic_score_codex":0.8843317,"about_ca_topic_score_gemma":0.9614858,"teacher_disagreement_score":0.1156683,"about_ca_system_score_codex":0.0056474726,"about_ca_system_score_gemma":0.003244145,"threshold_uncertainty_score":0.23269892},"labels":[],"label_agreement":null},{"id":"W3008186900","doi":"10.1016/j.renene.2020.02.098","title":"Assessment of blade element actuator disk method for simulations of ducted tidal turbines","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":21,"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 New Brunswick","funders":"New Brunswick Innovation Foundation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Turbine; Thrust; Tidal power; Marine engineering; Computational fluid dynamics; Actuator; Solver; Mechanics; Power (physics); Tip clearance; Aerospace engineering; Engineering; Physics; Computer science; Electrical engineering","score_opus":0.018747449829234243,"score_gpt":0.2878269548718575,"score_spread":0.26907950504262323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008186900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6287233,0.0011222862,0.32543936,0.000955067,0.00035522185,0.0003882725,0.0010125904,0.002828549,0.039175287],"genre_scores_gemma":[0.92040235,0.00020983595,0.07586166,0.00009567803,0.000030269433,0.00012911859,0.00026221393,0.00036899498,0.0026399065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996675,0.000155637,0.0000193634,0.000029000012,0.00010468244,0.00002395715],"domain_scores_gemma":[0.99611074,0.0023799306,0.00019834447,0.00029709737,0.0008659588,0.00014788145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095256336,0.0006987899,0.00071485323,0.0003803507,0.0005282865,0.00079950213,0.0015654063,0.0016293584,0.0044885697],"category_scores_gemma":[0.005069429,0.0003526463,0.00034085978,0.00035776632,0.0003395783,0.00086066365,0.00069311087,0.00084660685,0.00054477557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003333246,0.00024821563,0.003771791,0.0002577411,0.000051632254,0.00015186741,0.00015353014,0.9625299,0.0075833797,0.0032873808,0.000982516,0.02064865],"study_design_scores_gemma":[0.000014623435,0.000038294533,0.0001825192,0.0000081511525,0.0000034097807,0.0000086062955,0.000021976864,0.9986266,0.0006498635,0.00013776378,0.00030472057,0.0000034809077],"about_ca_topic_score_codex":0.007979293,"about_ca_topic_score_gemma":0.007036217,"teacher_disagreement_score":0.007979293,"about_ca_system_score_codex":0.00045875701,"about_ca_system_score_gemma":0.000837214,"threshold_uncertainty_score":0.015865743},"labels":[],"label_agreement":null},{"id":"W3011606698","doi":"10.1016/j.renene.2020.03.029","title":"A hybrid Pt/NbO/CNTs catalyst with high activity and durability for oxygen reduction reaction in PEMFC","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":65,"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; University of Ontario Institute of Technology","keywords":"Oxygen reduction reaction; Catalysis; Durability; Proton exchange membrane fuel cell; Materials science; Fuel cells; Reduction (mathematics); Natural bond orbital; Oxygen; Chemical engineering; Chemistry; Composite material; Engineering; Electrochemistry; Organic chemistry; Electrode","score_opus":0.009849315611799749,"score_gpt":0.2028456706844621,"score_spread":0.19299635507266236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011606698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886658,0.0027922255,0.0045312354,0.00011790727,0.00012761625,0.000019837662,0.00013502198,0.00012085621,0.00348937],"genre_scores_gemma":[0.9949745,0.0006286896,0.0018486913,0.000020374186,0.000012733448,0.000008745864,0.000099924764,0.000018329501,0.0023880284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999261,0.000004526819,0.000007587722,0.000017342929,0.00003434932,0.0000100523575],"domain_scores_gemma":[0.9999665,0.0000031502132,0.00000547656,0.000004253808,0.000011133849,0.000009547894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009425432,0.00022965117,0.00022755828,0.00029513548,0.00019744804,0.00026063534,0.00032975167,0.00032833626,0.0006552328],"category_scores_gemma":[0.00012542275,0.00017954115,0.0001787525,0.00017687259,0.000113883005,0.00036384215,0.00018410344,0.00020465573,0.00032946447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010584106,0.000026621421,0.00018871449,0.00008548217,0.000008936665,0.00009286872,0.00001080513,0.00024061566,0.99321026,0.00016455795,0.00014810138,0.0057172165],"study_design_scores_gemma":[0.000009305413,0.00013382101,0.0013063955,0.000006515677,0.00003520508,0.00017515747,0.000012014707,0.0039999955,0.99139225,0.00004630971,0.00287482,0.000008089742],"about_ca_topic_score_codex":0.0010009878,"about_ca_topic_score_gemma":0.0023562696,"teacher_disagreement_score":0.0010009878,"about_ca_system_score_codex":0.0002256544,"about_ca_system_score_gemma":0.000119560944,"threshold_uncertainty_score":0.0021919608},"labels":[],"label_agreement":null},{"id":"W3011872312","doi":"10.1016/j.renene.2020.03.038","title":"Stability analysis of hydropower units under full operating conditions considering turbine nonlinearity","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":59,"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":"Ministry of Water Resources; National Natural Science Foundation of China","keywords":"Turbine; Control theory (sociology); Prime mover; Nonlinear system; Hydropower; Stability (learning theory); Engineering; Power (physics); Francis turbine; Control engineering; Computer science; Automotive engineering; Mechanical engineering; Control (management); Physics; Electrical engineering","score_opus":0.029565910825646576,"score_gpt":0.23207706185541802,"score_spread":0.20251115102977144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011872312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84876204,0.00047281073,0.12340636,0.0005678812,0.00004687295,0.00005674987,0.00031394968,0.00020400972,0.026169363],"genre_scores_gemma":[0.9977946,0.000048709004,0.00060733536,0.0000087383005,0.000008351777,0.000009703784,0.00002464491,0.000013145908,0.0014847816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998795,0.00004442827,0.0000038898706,0.000018952374,0.000029084746,0.000024129928],"domain_scores_gemma":[0.9993025,0.00045157113,0.00007792118,0.00003014127,0.00011257059,0.00002526167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044731842,0.00034528263,0.00060918764,0.00039801383,0.00038652946,0.0006460666,0.0003332845,0.00038748665,0.002493923],"category_scores_gemma":[0.0014875755,0.00023545664,0.00045565804,0.00022204957,0.0006982067,0.00055165857,0.000521686,0.0003840496,0.0002201164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020085812,0.000018897335,0.0011920776,0.000058870446,0.00003469612,0.00024997388,0.000078965706,0.9780041,0.007580119,0.007783701,0.00039624574,0.004401511],"study_design_scores_gemma":[0.0000025380673,0.000014433399,0.0004782483,0.0000025621484,0.0000035460544,0.000012459788,0.000013879564,0.99816304,0.00035502337,0.00090372446,0.00004730828,0.0000032408059],"about_ca_topic_score_codex":0.0057017994,"about_ca_topic_score_gemma":0.003483969,"teacher_disagreement_score":0.0057017994,"about_ca_system_score_codex":0.0005090444,"about_ca_system_score_gemma":0.00060474826,"threshold_uncertainty_score":0.011337221},"labels":[],"label_agreement":null},{"id":"W3014608855","doi":"10.1016/j.renene.2020.06.030","title":"Levelised cost of energy, A challenge for offshore wind","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Marine and Offshore Engineering Studies","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":"Interreg; Queen's University; Queen's University Belfast","keywords":"Offshore wind power; Environmental science; Submarine pipeline; Meteorology; Marine engineering; Wind power; Oceanography; Geology; Engineering; Geography","score_opus":0.021096361306224398,"score_gpt":0.2067165215885099,"score_spread":0.1856201602822855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014608855","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":[0.27308992,0.013002464,0.07248623,0.07690744,0.0016274601,0.0001056064,0.0017961899,0.00019664878,0.56078804],"genre_scores_gemma":[0.9535206,0.0049837288,0.009271835,0.0019073992,0.00031947996,0.000077007004,0.0003116313,0.00017638967,0.029431848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911696,0.00015703689,0.000036537236,0.000081563725,0.00049804803,0.000109803215],"domain_scores_gemma":[0.9979411,0.0006978204,0.0001753943,0.0002633395,0.0007602233,0.00016219231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011784054,0.00035209995,0.0006450702,0.000855665,0.00088745315,0.005291118,0.0012305346,0.001562197,0.010376874],"category_scores_gemma":[0.005242001,0.0002588471,0.0005329911,0.0014818049,0.0017051056,0.006628542,0.0015322063,0.0031536194,0.0008429869],"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":[0.00015827487,0.00007738413,0.003162507,0.00033055965,0.00007647048,0.00017043606,0.00036901186,0.020475583,0.0012675641,0.89488024,0.013497925,0.06553409],"study_design_scores_gemma":[0.00004673065,0.00025342294,0.020340301,0.00089793286,0.00006760062,0.0005161184,0.0038690341,0.02556932,0.001191114,0.79895246,0.14818113,0.0001147687],"about_ca_topic_score_codex":0.0057243896,"about_ca_topic_score_gemma":0.014617462,"teacher_disagreement_score":0.010376874,"about_ca_system_score_codex":0.0039272066,"about_ca_system_score_gemma":0.0025686498,"threshold_uncertainty_score":0.034714103},"labels":[],"label_agreement":null},{"id":"W3025879323","doi":"10.1016/j.renene.2020.05.074","title":"Modelling and experimental evaluation of an innovative Integrated Collector Storage Solar Water Heating (ICSSWH) prototype","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":29,"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":"European Commission; UK Research and Innovation","keywords":"Thermal energy storage; Solar energy; Phase-change material; Process engineering; Solar water heating; Energy storage; MATLAB; Energy performance; Thermal; Mechanical engineering; Engineering; Automotive engineering; Environmental science; Phase change; Simulation; Computer science; Efficient energy use; Electrical engineering; Engineering physics; Meteorology","score_opus":0.05100559094017655,"score_gpt":0.2624627606834206,"score_spread":0.21145716974324408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025879323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96164024,0.00018271743,0.028441837,0.00014829189,0.00009797355,0.00023809355,0.0006181068,0.0010512967,0.0075813113],"genre_scores_gemma":[0.9945445,0.000047096382,0.003151791,0.000007964678,0.0000042584797,0.000058871272,0.000116909345,0.00002912561,0.002039406],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979204,0.000030011952,0.0000067815595,0.00004425634,0.000093739465,0.00003317287],"domain_scores_gemma":[0.99974793,0.000076455464,0.000019893083,0.0000505875,0.00007839577,0.000026692336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036746552,0.00046144595,0.00059607736,0.00021577449,0.0004514373,0.0006448332,0.0013637254,0.0007431917,0.0042680134],"category_scores_gemma":[0.00039936422,0.0002522721,0.00046509842,0.00022560147,0.00041071422,0.0006107434,0.0002854118,0.0004901388,0.0006149389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031323344,0.001024209,0.0063236556,0.0014900446,0.0001256859,0.000533747,0.0007914368,0.21843557,0.70120937,0.0016413033,0.003912764,0.0613799],"study_design_scores_gemma":[0.00032546307,0.004429163,0.012303958,0.000045202818,0.0001569002,0.0001654474,0.0003589035,0.49594676,0.4743877,0.0005085242,0.011298617,0.000073366515],"about_ca_topic_score_codex":0.0024221153,"about_ca_topic_score_gemma":0.0029867725,"teacher_disagreement_score":0.0042680134,"about_ca_system_score_codex":0.0007139222,"about_ca_system_score_gemma":0.00057184766,"threshold_uncertainty_score":0.014277935},"labels":[],"label_agreement":null},{"id":"W3031537493","doi":"10.1016/j.renene.2020.05.101","title":"Increasing self-consumption of renewable energy through the Building to Vehicle to Building approach applied to multiple users connected in a virtual micro-grid","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":72,"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":"News aggregator; Renewable energy; Electric vehicle; Zero-energy building; Grid; Virtual power plant; Energy consumption; Environmental economics; Photovoltaic system; Smart grid; Automotive engineering; Engineering; Distributed generation; Computer science; Power (physics); Electrical engineering","score_opus":0.009794548255832501,"score_gpt":0.19935034435731286,"score_spread":0.18955579610148035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031537493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84849536,0.00008825192,0.13128477,0.0001733008,0.000064200656,0.00006569068,0.00005445616,0.0007206846,0.019053262],"genre_scores_gemma":[0.99404055,0.0000138480755,0.005087783,0.000010926599,0.0000024170283,0.0000062867593,0.0000089861405,0.000012339542,0.0008168931],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977773,0.000078401696,0.000007432263,0.00003972492,0.00005488505,0.00004180738],"domain_scores_gemma":[0.9994993,0.00019579529,0.000030958963,0.00009670438,0.00011589716,0.000061211125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030287434,0.00024409058,0.0002285132,0.00036342026,0.000346589,0.00081012904,0.00049977103,0.00028055717,0.0035608744],"category_scores_gemma":[0.00095949037,0.00010143919,0.00023982194,0.00043118862,0.00027226933,0.0006261727,0.00068480737,0.0002128155,0.00031157737],"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":[0.0012251863,0.0017750373,0.038638115,0.00028520141,0.00017896235,0.00081365806,0.0014810559,0.32912397,0.09072289,0.024001949,0.0037787084,0.50797534],"study_design_scores_gemma":[0.00003976041,0.00061397615,0.015216787,0.000020859696,0.00010127791,0.00031150304,0.0012847995,0.9492321,0.021994127,0.005694015,0.00545486,0.00003598558],"about_ca_topic_score_codex":0.0021729574,"about_ca_topic_score_gemma":0.0050205593,"teacher_disagreement_score":0.0035608744,"about_ca_system_score_codex":0.0002555353,"about_ca_system_score_gemma":0.00027900602,"threshold_uncertainty_score":0.011912286},"labels":[],"label_agreement":null},{"id":"W3038361061","doi":"10.1016/j.renene.2020.06.106","title":"Tuning electricity generation throughout the year with PV module technology","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","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":"Carleton University","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Kuwait Foundation for the Advancement of Sciences","keywords":"Photovoltaic system; Environmental science; Electricity; Latitude; Photovoltaics; Electricity generation; Meteorology; Yield (engineering); Atmospheric sciences; Engineering; Electrical engineering; Power (physics); Geography; Materials science","score_opus":0.01862343232769588,"score_gpt":0.22564289105507793,"score_spread":0.20701945872738203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038361061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940778,0.0003725269,0.044815395,0.00018554479,0.00010124578,0.000033576343,0.00049270067,0.0012750435,0.011945908],"genre_scores_gemma":[0.996414,0.000038798968,0.002326397,0.000020109912,0.000006259173,0.0000067465976,0.000107546664,0.000056295336,0.0010237992],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999012,0.000018302153,0.0000039991232,0.000031933345,0.000024568348,0.000019925486],"domain_scores_gemma":[0.9997483,0.00011191074,0.000025494388,0.00003361266,0.000057716257,0.000023041972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014115094,0.00019604148,0.0001759191,0.00034487047,0.00018873661,0.00037183767,0.00028653292,0.0002689799,0.0016374899],"category_scores_gemma":[0.00077755196,0.00009150298,0.000114919014,0.00043049082,0.00006752595,0.0004006588,0.00013297141,0.0002373803,0.00029327188],"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":[0.0014103921,0.0006718396,0.07571132,0.00022898108,0.00022613861,0.00027900806,0.00023902407,0.18525398,0.2406718,0.0019602487,0.008134169,0.485213],"study_design_scores_gemma":[0.00012180611,0.0010529519,0.20174538,0.00004090985,0.00018603705,0.0004534827,0.00024963048,0.5660526,0.20400807,0.003714101,0.0222676,0.00010734027],"about_ca_topic_score_codex":0.00093282573,"about_ca_topic_score_gemma":0.0037608587,"teacher_disagreement_score":0.0016374899,"about_ca_system_score_codex":0.00022788398,"about_ca_system_score_gemma":0.00012720814,"threshold_uncertainty_score":0.005477965},"labels":[],"label_agreement":null},{"id":"W3048675649","doi":"10.1016/j.renene.2020.08.008","title":"Development of a torrefied wood pellet binder from the cross-linking between specified risk materials-derived peptides and epoxidized poly (vinyl alcohol)","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","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 British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency; Alberta Innovates; Alberta Agriculture and Forestry","keywords":"Pellets; Vinyl alcohol; Materials science; Renewable energy; Pellet; Engineered wood; Durability; Biomass (ecology); Composite material; Pulp and paper industry; Polymer","score_opus":0.04847125922448889,"score_gpt":0.23667352135020933,"score_spread":0.18820226212572044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048675649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628439,0.004261955,0.0272975,0.00008166235,0.00006820692,0.00014921835,0.00020984441,0.00028350714,0.0048042634],"genre_scores_gemma":[0.969349,0.0025779386,0.022078047,0.00007572059,0.000019068724,0.00009612294,0.0003855647,0.000082067665,0.0053364295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998448,0.000013968829,0.000011550114,0.000030689556,0.000067962035,0.00003107795],"domain_scores_gemma":[0.9999082,0.000008996649,0.000042542477,0.000005542537,0.000017463712,0.000017110078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001820978,0.00054533535,0.00022538882,0.00032335817,0.00012400547,0.00028260148,0.00023622678,0.0003918671,0.00084744144],"category_scores_gemma":[0.00017463922,0.00019000725,0.00032520198,0.000254845,0.000099299956,0.00043269084,0.00022142862,0.00052360725,0.0004921289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025205401,0.000026128413,0.00007241596,0.00008969321,0.000007068541,0.000117486125,0.000014047676,0.00010005514,0.9953258,0.000110012916,0.000026858763,0.004085167],"study_design_scores_gemma":[0.0000042045385,0.00017880609,0.00068446575,0.00000865547,0.0000119095475,0.00015803076,0.00000914914,0.00038122074,0.99597883,0.000014138285,0.00256491,0.0000057434277],"about_ca_topic_score_codex":0.00018292478,"about_ca_topic_score_gemma":0.00043828116,"teacher_disagreement_score":0.00084744144,"about_ca_system_score_codex":0.00011480729,"about_ca_system_score_gemma":0.00014650279,"threshold_uncertainty_score":0.002834916},"labels":[],"label_agreement":null},{"id":"W3049057368","doi":"10.1016/j.renene.2020.08.018","title":"Optimum azimuth and inclination angle of BIPV panel owing to different factors influencing the shadow of adjacent building","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","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 Calgary","funders":"","keywords":"Building-integrated photovoltaics; Azimuth; Shadow (psychology); Sky; Shading; Latitude; Optics; Inclination angle; Photovoltaic system; Physics; Meteorology; Geodesy; Geometry; Geology; Engineering; Mathematics; Computer science; Computer graphics (images)","score_opus":0.032320887731476865,"score_gpt":0.23341066164615898,"score_spread":0.2010897739146821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049057368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584068,0.00027949948,0.026192974,0.00004795697,0.00004389165,0.00000833981,0.00023936744,0.00015386236,0.014627349],"genre_scores_gemma":[0.9987826,0.000046005087,0.00053231645,0.000004441241,0.0000036378945,0.0000014213074,0.000055525492,0.000008986264,0.0005650983],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986005,0.000018078612,0.0000023053085,0.000028668957,0.000035654975,0.00005531512],"domain_scores_gemma":[0.9998419,0.000044489225,0.000016379348,0.000012004893,0.000056551267,0.000028762943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008522687,0.00021248624,0.000191291,0.00022152683,0.00028339768,0.00038221627,0.0001449898,0.00025494516,0.004262011],"category_scores_gemma":[0.00030299564,0.00013235977,0.00015141224,0.00028248562,0.00017839254,0.00020980487,0.00017710835,0.00018165454,0.0004573268],"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":[0.0018860197,0.00010694745,0.06831356,0.00032583196,0.000058644964,0.0010509001,0.00052407157,0.10065449,0.7301382,0.003290226,0.0036502988,0.09000079],"study_design_scores_gemma":[0.00009726411,0.00048673112,0.56325555,0.00005071274,0.00017075134,0.0013799549,0.0024447704,0.15541998,0.267549,0.0026684215,0.006367306,0.00010949586],"about_ca_topic_score_codex":0.00092494185,"about_ca_topic_score_gemma":0.0016434322,"teacher_disagreement_score":0.004262011,"about_ca_system_score_codex":0.00014671976,"about_ca_system_score_gemma":0.00022871373,"threshold_uncertainty_score":0.014257789},"labels":[],"label_agreement":null},{"id":"W3059566728","doi":"10.1016/j.renene.2020.08.075","title":"Biomass upgrading to high-value chemicals via gasification and electrolysis: A thermodynamic analysis","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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 Calgary","funders":"Canada First Research Excellence Fund; University of Calgary","keywords":"Syngas; Environmental science; Waste management; Renewable energy; Biomass (ecology); Heat of combustion; Electricity generation; Pulp and paper industry; Process engineering; Chemistry; Engineering; Hydrogen; Organic chemistry","score_opus":0.004952139713259973,"score_gpt":0.18181585858408097,"score_spread":0.176863718870821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3059566728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96368235,0.0020408498,0.02455715,0.00021171517,0.00004211461,0.00004726537,0.00018568305,0.000049115974,0.00918371],"genre_scores_gemma":[0.99634415,0.0006123285,0.0012575459,0.000008840779,0.000005634357,0.000009893821,0.000065922926,0.00000779262,0.0016878323],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992836,0.0000073769847,0.000003576597,0.000009856004,0.000040064562,0.0000107874375],"domain_scores_gemma":[0.99995697,0.000021204574,0.0000037421446,0.0000031587508,0.0000121829535,0.0000028191291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020409918,0.00024942795,0.00027684437,0.00044778446,0.00032844397,0.00038017528,0.00033421168,0.00023725202,0.00211282],"category_scores_gemma":[0.0002732234,0.00019044729,0.00035593912,0.0003816552,0.0003454496,0.0005546628,0.00019337352,0.00029930144,0.00021227199],"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":[0.00076210767,0.00064179907,0.008200907,0.00069982937,0.0001899084,0.0005489975,0.00012465368,0.0755365,0.79685235,0.052650176,0.0006404686,0.06315229],"study_design_scores_gemma":[0.000062009334,0.0004445188,0.01689596,0.000022798822,0.00012726449,0.0003151808,0.00020265598,0.35664007,0.6086463,0.011984374,0.0046100453,0.000048818438],"about_ca_topic_score_codex":0.0026422536,"about_ca_topic_score_gemma":0.0056668334,"teacher_disagreement_score":0.0026422536,"about_ca_system_score_codex":0.00043460482,"about_ca_system_score_gemma":0.0004753182,"threshold_uncertainty_score":0.007068038},"labels":[],"label_agreement":null},{"id":"W3082070117","doi":"10.1016/j.renene.2020.08.133","title":"Study of hydrochar and process water from hydrothermal carbonization of sea lettuce","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","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 Prince Edward Island","funders":"Mitacs","keywords":"Hydrothermal carbonization; Raw material; Environmental science; Pulp and paper industry; Biofuel; Valorisation; Carbonization; Nutrient; Waste management; Environmental chemistry; Chemistry; Engineering","score_opus":0.009249366623151253,"score_gpt":0.18199043497416945,"score_spread":0.17274106835101818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082070117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983285,0.00027016064,0.0003552592,0.000022377535,0.000007857531,0.0000075539056,0.00013496334,0.0000034328452,0.0008699639],"genre_scores_gemma":[0.99758637,0.00025808284,0.00023393752,0.000012138989,0.0000033618353,0.00000459511,0.00018010523,0.0000046826585,0.0017167056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999442,0.0000040386726,0.0000023446876,0.000013641485,0.0000183414,0.000017385688],"domain_scores_gemma":[0.9999604,0.000008820962,0.00000556121,0.0000029325647,0.000015956073,0.0000062825106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008174321,0.00020179494,0.00016139583,0.0001498224,0.0002476698,0.00024710916,0.00015400803,0.00017095004,0.0009534432],"category_scores_gemma":[0.000087074244,0.00008099814,0.00029177786,0.00021196701,0.00020291169,0.0002565506,0.0001108516,0.0003184452,0.00013508677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018617755,0.000040254585,0.0017972104,0.00007678573,0.000013599241,0.000183437,0.00007990904,0.0006682747,0.9935913,0.00013387876,0.000043696273,0.0031854324],"study_design_scores_gemma":[0.00001388016,0.00027947992,0.029995212,0.00001492502,0.000024188852,0.00015478452,0.00047982438,0.0021497295,0.964721,0.00013027788,0.0020213309,0.000015393123],"about_ca_topic_score_codex":0.005811374,"about_ca_topic_score_gemma":0.0068125403,"teacher_disagreement_score":0.005811374,"about_ca_system_score_codex":0.00022356553,"about_ca_system_score_gemma":0.0003455204,"threshold_uncertainty_score":0.011555076},"labels":[],"label_agreement":null},{"id":"W3094015060","doi":"10.1016/j.renene.2020.10.085","title":"Review of air-based PV/T and BIPV/T systems - Performance and modelling","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":84,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Building-integrated photovoltaics; Photovoltaic system; Computer science; Thermal; Scale (ratio); Environmental science; Set (abstract data type); Engineering; Meteorology; Physics; Electrical engineering","score_opus":0.02744295372318905,"score_gpt":0.2084276452664124,"score_spread":0.18098469154322333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094015060","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":[0.008022239,0.9193672,0.046337083,0.0004811379,0.0007148715,0.0000691827,0.000648633,0.0002934062,0.024066316],"genre_scores_gemma":[0.07529057,0.8837224,0.020959891,0.00040195519,0.0008720175,0.000088281,0.0010405423,0.00014258384,0.017481718],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998368,0.000023929553,0.000017553528,0.00003859245,0.000070422204,0.000012721295],"domain_scores_gemma":[0.9998505,0.00006161015,0.000016180438,0.000010687367,0.000055029883,0.0000059045965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028487787,0.0006705432,0.0009746528,0.0006946152,0.00019984419,0.0008406963,0.0009701396,0.0006510371,0.0043319464],"category_scores_gemma":[0.00037645752,0.00027723104,0.0006076122,0.0020144514,0.00015453435,0.0009889991,0.0003691099,0.0004467059,0.0023257358],"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":[0.00016900487,0.00007920872,0.00041055868,0.015609346,0.00011792726,0.00013143574,0.000049032416,0.03196203,0.0127272345,0.012089297,0.026405478,0.90024954],"study_design_scores_gemma":[0.000025541154,0.00050991436,0.002250102,0.002072988,0.00025929828,0.00081337965,0.00008605626,0.0339976,0.015421426,0.008289972,0.9362083,0.000065520995],"about_ca_topic_score_codex":0.0016111786,"about_ca_topic_score_gemma":0.0016932606,"teacher_disagreement_score":0.0043319464,"about_ca_system_score_codex":0.0003961992,"about_ca_system_score_gemma":0.0005473801,"threshold_uncertainty_score":0.0144917965},"labels":[],"label_agreement":null},{"id":"W3096060094","doi":"10.1016/j.renene.2020.10.074","title":"A successive flux estimation method for rapid g-function construction of small to large-scale ground heat exchanger","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Polytechnique Montréal; Natural Resources Canada","funders":"Office of Energy Research and Development","keywords":"Convolution (computer science); Heat exchanger; Transfer function; Computation; Function (biology); Applied mathematics; Convergence (economics); Flux (metallurgy); Algorithm; Mathematical optimization; Heat flux; Mathematics; Computer science; Heat transfer; Mechanics; Physics; Engineering; Chemistry; Thermodynamics","score_opus":0.02008560527243032,"score_gpt":0.2501221927843553,"score_spread":0.23003658751192502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096060094","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036118592,0.000023224136,0.9954131,0.000015204827,0.000012399219,0.000017541484,0.000014832535,0.0005284143,0.00036341327],"genre_scores_gemma":[0.13356677,0.00007431208,0.863612,0.000034263143,0.00003037437,0.00017070495,0.00017729157,0.0003235118,0.0020108102],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999793,0.00006691251,0.000011786838,0.000038925493,0.000068030815,0.000021372904],"domain_scores_gemma":[0.99950063,0.00027996898,0.000027004546,0.000059393544,0.00011243281,0.00002051484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056487095,0.00087548606,0.00078605383,0.00065346423,0.00055633276,0.00045923935,0.0010296038,0.0007543295,0.0052721384],"category_scores_gemma":[0.0012433046,0.0005016634,0.0009054371,0.0005504314,0.00041478933,0.0006856103,0.0007960007,0.0012078247,0.0013117277],"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":[0.00032460893,0.00019864719,0.0011871821,0.00032463108,0.00007800806,0.00016221046,0.00019666083,0.31580642,0.10470768,0.022364486,0.004013586,0.5506359],"study_design_scores_gemma":[0.000013477124,0.000037555605,0.00017937123,0.0000038958187,0.0000074398654,0.000020377933,0.000009038005,0.98884076,0.007991019,0.0015764344,0.0013129126,0.000007698172],"about_ca_topic_score_codex":0.0039099846,"about_ca_topic_score_gemma":0.004068319,"teacher_disagreement_score":0.0052721384,"about_ca_system_score_codex":0.0003557612,"about_ca_system_score_gemma":0.0007738095,"threshold_uncertainty_score":0.017637074},"labels":[],"label_agreement":null},{"id":"W3097277994","doi":"10.1016/j.renene.2020.09.082","title":"Corrigendum to Optimal planning and design of a renewable energy based supply system for micro-grids [Int. J. Renew. Energy, Vol. 45, 2012, pp.7–15]","year":2020,"lang":"en","type":"erratum","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","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":"INT; Renewable energy; Energy (signal processing); Energy supply; Computer science; Engineering; Operations research; Electrical engineering; Physics; Operating system","score_opus":0.011020866652513426,"score_gpt":0.19676854285363965,"score_spread":0.18574767620112623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097277994","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":[0.00034082477,0.008872676,0.005270661,0.043544047,0.9162125,0.00007824606,0.0010807966,0.0005783901,0.024021883],"genre_scores_gemma":[0.012937437,0.036999777,0.011942772,0.04036119,0.21900512,0.00026592592,0.003691546,0.001520805,0.6732754],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975981,0.00033140782,0.0002677957,0.000324222,0.0012747546,0.00020374067],"domain_scores_gemma":[0.9895279,0.0015649056,0.0002983445,0.0005582677,0.007686038,0.0003646652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017265577,0.0023489995,0.0019526939,0.0027209476,0.001909974,0.0027549735,0.0029487873,0.004860378,0.07602712],"category_scores_gemma":[0.013567561,0.00078400044,0.001756039,0.0025095423,0.0014315377,0.0022126967,0.0015308742,0.0045485096,0.05163769],"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":[0.00003732672,0.00001263329,0.000062951636,0.00017347062,0.0000105073395,0.00016582447,0.000013892525,0.0003341002,0.00012113782,0.0018571372,0.98292196,0.014289001],"study_design_scores_gemma":[0.000025828784,0.0000577003,0.00075409963,0.00030972838,0.00003986296,0.00029686125,0.000056306675,0.0017153254,0.0006655699,0.005976825,0.99005073,0.00005117051],"about_ca_topic_score_codex":0.02907382,"about_ca_topic_score_gemma":0.039079323,"teacher_disagreement_score":0.07602712,"about_ca_system_score_codex":0.0035595396,"about_ca_system_score_gemma":0.0027722663,"threshold_uncertainty_score":0.25433606},"labels":[],"label_agreement":null},{"id":"W3098570202","doi":"10.1016/j.renene.2020.11.020","title":"Effects of temperature-dependent property variations on the output capacity prediction of a deep coaxial borehole heat exchanger","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":38,"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 Alberta","funders":"Alberta Innovates","keywords":"Borehole; Volumetric heat capacity; Heat exchanger; Thermal diffusivity; Heat capacity; Mechanics; Heat transfer; Thermal conduction; Coaxial; Thermal conductivity; Geothermal gradient; Heat transfer coefficient; Materials science; Thermodynamics; Geology; Geotechnical engineering; Engineering; Geophysics; Mechanical engineering","score_opus":0.016652016221676398,"score_gpt":0.19172548287155955,"score_spread":0.17507346664988316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098570202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962929,0.000033594762,0.0030149284,0.000029941702,0.000008172338,0.0000032697565,0.000056083863,0.000090846894,0.00047036837],"genre_scores_gemma":[0.9996013,0.0000072387456,0.00026661647,0.0000023672662,7.1410125e-7,0.0000013409003,0.000025845311,0.0000045689344,0.00009008408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988747,0.000020946607,0.000006517118,0.00003796559,0.00002664255,0.000020343952],"domain_scores_gemma":[0.9993741,0.0004071601,0.000057645266,0.000045655903,0.00008801605,0.000027419455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027141842,0.0004786402,0.00026250147,0.00016480971,0.00029508452,0.0004072216,0.0003753568,0.0006604953,0.0006462932],"category_scores_gemma":[0.00083475176,0.0002548064,0.0003458775,0.00018336692,0.00037265744,0.00054407865,0.00027809435,0.0005319501,0.00008803866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005907653,0.00016401644,0.0134801855,0.000045685145,0.00002303417,0.00015750038,0.0000730057,0.89372754,0.08470838,0.00017791969,0.00016444354,0.006687504],"study_design_scores_gemma":[0.000008459211,0.000104546154,0.0062912195,0.0000018049043,0.0000065079907,0.000008494328,0.00001383725,0.96946096,0.024027055,0.000022613984,0.00004415021,0.000010331874],"about_ca_topic_score_codex":0.011048742,"about_ca_topic_score_gemma":0.0069809104,"teacher_disagreement_score":0.011048742,"about_ca_system_score_codex":0.00039369715,"about_ca_system_score_gemma":0.00035116833,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3105050710","doi":"10.1016/j.renene.2020.11.086","title":"Operational Modal Analysis of hydroelectric turbines using an order based likelihood approach","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Andritz (Canada); Hydro-Québec; HEC Montréal","funders":"Mitacs","keywords":"Operational Modal Analysis; Modal; Modal analysis; Francis turbine; Hydroelectricity; Turbine; Harmonics; Field (mathematics); Hydropower; Asynchronous communication; Engineering; Bayesian probability; Computer science; Marine engineering; Aerospace engineering; Artificial intelligence; Finite element method; Structural engineering; Mathematics; Electrical engineering; Voltage; Telecommunications","score_opus":0.02565530199155164,"score_gpt":0.25380838002770634,"score_spread":0.2281530780361547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105050710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031791866,0.000056420904,0.967108,0.000056403045,0.000003695386,0.000011626335,0.00004396789,0.000120769444,0.0008072389],"genre_scores_gemma":[0.9086641,0.00018182336,0.08602757,0.000030216885,0.000024465082,0.000069924085,0.00019044787,0.00010801132,0.004703379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987733,0.000045741923,0.000004699064,0.000015222499,0.000045129065,0.0000118138505],"domain_scores_gemma":[0.9994417,0.00042223252,0.000057716552,0.000023587661,0.000041074378,0.000013728206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003658093,0.0003290749,0.00031581335,0.0002848279,0.00019097369,0.00041730644,0.000332649,0.0003588806,0.001811597],"category_scores_gemma":[0.001329491,0.0003120328,0.00041816858,0.00018764724,0.0002996569,0.0006762707,0.0004054468,0.00046886163,0.00030859097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072770476,0.00004612987,0.0009922002,0.00005610416,0.000026585974,0.000056308596,0.00006958558,0.94015783,0.009207002,0.0064592618,0.0003162053,0.042540025],"study_design_scores_gemma":[0.0000010254956,0.0000057268726,0.00024338465,0.0000012187008,0.0000014469022,0.0000057323587,0.0000032541116,0.9985079,0.00029338986,0.00087569654,0.000059121216,0.0000021506087],"about_ca_topic_score_codex":0.0015616035,"about_ca_topic_score_gemma":0.0029943006,"teacher_disagreement_score":0.001811597,"about_ca_system_score_codex":0.00020701023,"about_ca_system_score_gemma":0.00032625627,"threshold_uncertainty_score":0.006060362},"labels":[],"label_agreement":null},{"id":"W3108994128","doi":"10.1016/j.renene.2020.11.056","title":"Is higher economic growth possible through better institutional quality and a lower carbon footprint? Evidence from developing countries","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Canadian Patient Safety Institute","keywords":"Developing country; Economics; Natural resource economics; Greenhouse gas; Corporate governance; Fossil fuel; Business; Economic growth; Engineering","score_opus":0.06497002170884861,"score_gpt":0.24214872640620413,"score_spread":0.17717870469735553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108994128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90451485,0.018480236,0.0007195517,0.013283218,0.00009738189,0.00005249212,0.0016241649,0.000015323249,0.06121285],"genre_scores_gemma":[0.99262404,0.005582482,0.00013114324,0.00056198327,0.00003461201,0.00000799631,0.00030448765,0.0000045577335,0.00074869214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837744,0.0005767349,0.00013876094,0.00019036283,0.00024139552,0.0004753002],"domain_scores_gemma":[0.9751472,0.0094942115,0.010968683,0.0011816531,0.002112563,0.0010957167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034605036,0.0003844625,0.00059829454,0.0013525512,0.0008426174,0.0032754554,0.00053691905,0.00083315215,0.009130062],"category_scores_gemma":[0.011203992,0.00024234188,0.00060197903,0.0036662975,0.0030033821,0.0018158443,0.0017686051,0.0013878801,0.0004387991],"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":[0.0020540287,0.00047894768,0.875967,0.0018106299,0.0018712446,0.001484764,0.0018351268,0.002541548,0.0006231967,0.03687701,0.0043395506,0.07011696],"study_design_scores_gemma":[0.00027167925,0.00033632765,0.96590906,0.0010018244,0.0012874431,0.00034705614,0.0061441245,0.00028241792,0.00092963886,0.007606488,0.01584988,0.000034053486],"about_ca_topic_score_codex":0.023418542,"about_ca_topic_score_gemma":0.024187248,"teacher_disagreement_score":0.023418542,"about_ca_system_score_codex":0.0012870744,"about_ca_system_score_gemma":0.002066701,"threshold_uncertainty_score":0.04656446},"labels":[],"label_agreement":null},{"id":"W3110376490","doi":"10.1016/j.renene.2020.11.154","title":"Non-precious metal cathodes for anion exchange membrane fuel cells from ball-milled iron and nitrogen doped carbide-derived carbons","year":2020,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":73,"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":"European Regional Development Fund; Campus France; Haridus- ja Teadusministeerium; Eesti Teadusagentuur; European Commission","keywords":"Catalysis; Materials science; Chemical engineering; X-ray photoelectron spectroscopy; Cathode; Electrolyte; Rotating disk electrode; Inorganic chemistry; Chemistry; Electrochemistry; Electrode; Cyclic voltammetry; Organic chemistry","score_opus":0.012292759614122899,"score_gpt":0.2081996682551816,"score_spread":0.1959069086410587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110376490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97434175,0.0050261775,0.010727666,0.0002972457,0.00033441465,0.0000649587,0.0003583529,0.00038919138,0.008460251],"genre_scores_gemma":[0.98283666,0.0014868083,0.0055746567,0.00006759144,0.00003482031,0.000024200128,0.00039800286,0.00006987949,0.009507454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975795,0.000013539685,0.000010950517,0.00004379572,0.00014019334,0.00003365096],"domain_scores_gemma":[0.9999099,0.000015000539,0.000010111074,0.000008516026,0.000041591426,0.000014823036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017450507,0.0003238373,0.00038434556,0.00031005725,0.00036179574,0.00065915904,0.0008917871,0.00060755224,0.0011937864],"category_scores_gemma":[0.0002613774,0.00017102438,0.0001781165,0.00015454393,0.00020557888,0.0005366387,0.00030440456,0.00040517998,0.00051473675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025474327,0.000033949185,0.0001003104,0.0001638862,0.000008744378,0.00013000185,0.000037332178,0.00020152755,0.9898768,0.0008042028,0.00041248085,0.007975956],"study_design_scores_gemma":[0.000015964151,0.00008528512,0.00031279,0.0000066363673,0.000006108049,0.00009477675,0.00002107019,0.0014217753,0.99489874,0.00012827147,0.0030034054,0.0000050326307],"about_ca_topic_score_codex":0.0007768191,"about_ca_topic_score_gemma":0.0025352705,"teacher_disagreement_score":0.0011937864,"about_ca_system_score_codex":0.00046805158,"about_ca_system_score_gemma":0.00022014408,"threshold_uncertainty_score":0.0039936304},"labels":[],"label_agreement":null},{"id":"W3123186400","doi":"10.1016/j.renene.2021.01.087","title":"An economic evaluation of renewable energy-powered membrane distillation for desalination of brackish water","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":68,"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":"Petroleum Technology Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Membrane distillation; Waste heat; Desalination; Renewable energy; Process engineering; Brackish water; Multiple-effect distillation; Environmental science; Waste management; Geothermal desalination; Environmental engineering; Concentrated solar power; Thermal energy; Engineering; Mechanical engineering; Chemistry; Membrane; Electrical engineering","score_opus":0.0207580088683149,"score_gpt":0.26831535544211926,"score_spread":0.24755734657380435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123186400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98912513,0.0009751356,0.0014736323,0.00022427745,0.000048195616,0.00014828147,0.00035210984,0.000011498055,0.0076417252],"genre_scores_gemma":[0.9969849,0.0005065033,0.0006400747,0.00002049514,0.000011092333,0.000031108717,0.00014241433,0.0000037880498,0.0016596718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850047,0.000577386,0.000046889094,0.00008474007,0.0006458824,0.00014468735],"domain_scores_gemma":[0.9985682,0.00078720466,0.00007921729,0.00006368749,0.0004211753,0.000080640544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023612564,0.0007461904,0.0006415589,0.0015055888,0.00073411094,0.001804201,0.0007236352,0.0009690366,0.0024182608],"category_scores_gemma":[0.0034535578,0.00026382576,0.0010928598,0.0009143388,0.0006008739,0.0012762552,0.0006124215,0.0006557782,0.00024245512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04390146,0.0074464045,0.026108317,0.0026892798,0.0010962901,0.0018395077,0.00016755241,0.4508594,0.2579293,0.028539516,0.0031115776,0.1763114],"study_design_scores_gemma":[0.0024422756,0.029198814,0.0501641,0.00016614213,0.0017398649,0.00040926173,0.0010147241,0.52078664,0.36765513,0.007527565,0.018600052,0.00029541337],"about_ca_topic_score_codex":0.010179065,"about_ca_topic_score_gemma":0.011668409,"teacher_disagreement_score":0.010179065,"about_ca_system_score_codex":0.005090507,"about_ca_system_score_gemma":0.0021896241,"threshold_uncertainty_score":0.036934376},"labels":[],"label_agreement":null},{"id":"W3125483685","doi":"10.1016/j.renene.2021.01.075","title":"Enhanced enzymatic hydrolysis of sisal waste by sequential pretreatment with UV-catalyzed alkaline hydrogen peroxide and ionic liquid","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":16,"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 Saskatchewan","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China","keywords":"Chemistry; Hydrogen peroxide; SISAL; Bioconversion; Hydrolysis; Enzymatic hydrolysis; Ionic liquid; Nuclear chemistry; Cellulose; Catalysis; Reducing sugar; Cellulase; Sugar; Organic chemistry; Materials science; Fermentation","score_opus":0.004990803514659643,"score_gpt":0.18180680609263444,"score_spread":0.1768160025779748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125483685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993024,0.00073880854,0.004096319,0.00004152492,0.000028681132,0.000014027424,0.00009388554,0.000048146696,0.0019146128],"genre_scores_gemma":[0.996689,0.00033963562,0.0013657119,0.000016730592,0.0000050334575,0.0000064585465,0.00015010005,0.0000109668135,0.0014164048],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983466,0.000020166965,0.00001570708,0.00002280242,0.00004176544,0.00006487589],"domain_scores_gemma":[0.9999267,0.000012794079,0.000020222767,0.000008094837,0.000018489267,0.000013708487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002545949,0.000629427,0.00032903504,0.0002628496,0.00010297311,0.00038793884,0.00019046526,0.00027406716,0.00088172336],"category_scores_gemma":[0.00019299019,0.00020613277,0.00046321648,0.0002602177,0.00015916728,0.0003700386,0.0002456998,0.00043850456,0.00038653682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018384006,0.000033058514,0.00014938894,0.0000465572,0.000008463854,0.000062489395,0.00001578612,0.00017505842,0.99644804,0.00006309752,0.000019661531,0.002794486],"study_design_scores_gemma":[0.0000036563922,0.00007147112,0.0005688279,0.0000019613897,0.000008363708,0.000032256765,0.000011229533,0.00048430578,0.99848276,0.000011383671,0.0003211081,0.000002747515],"about_ca_topic_score_codex":0.0005081151,"about_ca_topic_score_gemma":0.0013573439,"teacher_disagreement_score":0.00088172336,"about_ca_system_score_codex":0.00018109095,"about_ca_system_score_gemma":0.00040031082,"threshold_uncertainty_score":0.0029497147},"labels":[],"label_agreement":null},{"id":"W3126845821","doi":"10.1016/j.renene.2021.02.025","title":"Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","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":"Impact","funders":"Hellenic Foundation for Research and Innovation; General Secretariat for Research and Technology","keywords":"AERONET; Environmental science; Aerosol; Irradiance; Atmospheric sciences; Calibration; Radiative transfer; Meteorology; Solar irradiance; Atmospheric radiative transfer codes; Remote sensing; Mathematics; Statistics; Geography; Geology","score_opus":0.014925363030974992,"score_gpt":0.23993142694494143,"score_spread":0.22500606391396644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126845821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775778,0.00016436173,0.0069144154,0.00009858059,0.00006184279,0.000057924528,0.01001165,0.0011762427,0.003937084],"genre_scores_gemma":[0.9875409,0.000037445734,0.0049337945,0.00003505949,0.000011106559,0.00003857011,0.0070764422,0.00009251411,0.00023432325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992224,0.00013300993,0.00004209401,0.00023345283,0.00028167898,0.000087392575],"domain_scores_gemma":[0.99844366,0.00036260334,0.00013936378,0.0003576295,0.0006226296,0.0000740906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014314464,0.0007456956,0.0004988936,0.000743963,0.0005483912,0.00067586574,0.0011361192,0.0010169907,0.0010946273],"category_scores_gemma":[0.0020975,0.00030568856,0.00074980076,0.0009850529,0.00045042226,0.0009596975,0.0005735529,0.0005626072,0.0005390777],"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":[0.0015690257,0.0011314779,0.2467007,0.0006449593,0.0009096494,0.00042406394,0.0004692143,0.55709773,0.08677789,0.0014383243,0.011547826,0.09128916],"study_design_scores_gemma":[0.00044873677,0.00019322745,0.33102036,0.00008969908,0.00021367618,0.000089714136,0.00014726685,0.6277499,0.035396896,0.00059105555,0.003966899,0.000092617694],"about_ca_topic_score_codex":0.043051325,"about_ca_topic_score_gemma":0.044178218,"teacher_disagreement_score":0.043051325,"about_ca_system_score_codex":0.00080973195,"about_ca_system_score_gemma":0.0010394591,"threshold_uncertainty_score":0.08560151},"labels":[],"label_agreement":null},{"id":"W3128410873","doi":"10.1016/j.renene.2021.02.030","title":"Effects of photovoltaic/thermal (PV/T) control strategies on the performance of liquid-based PV/T assisted heat pump for space heating","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Toronto Metropolitan University","funders":"","keywords":"Photovoltaic system; Heat pump; Coefficient of performance; TRNSYS; Automotive engineering; Environmental science; Thermal; Engineering; Thermodynamics; Mechanical engineering; Electrical engineering; Physics","score_opus":0.01132770044288546,"score_gpt":0.21609892003082998,"score_spread":0.20477121958794453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128410873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99691486,0.00046826003,0.0012848288,0.000028112298,0.000025959067,0.0000059390327,0.00003595974,0.000043659682,0.0011924643],"genre_scores_gemma":[0.99949765,0.000106332554,0.00021761957,0.0000061741043,0.000002169523,0.0000025354766,0.0000110543415,0.000004524051,0.00015207559],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999897,0.000013035934,0.0000089438,0.00002224884,0.000023629666,0.000035170415],"domain_scores_gemma":[0.99981576,0.00007167021,0.000036126134,0.000010572405,0.000048899823,0.00001705879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013243237,0.00030888178,0.0002765315,0.00017647201,0.00024261307,0.00048096039,0.00031424168,0.00026321498,0.0018961655],"category_scores_gemma":[0.0003439808,0.00010981623,0.00018942116,0.00019777495,0.00020154152,0.00043470526,0.00017020544,0.00028349145,0.00018991089],"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":[0.003417991,0.0003882953,0.00091260625,0.0003325798,0.00003445002,0.00017634181,0.0001001145,0.012846562,0.9525829,0.00032696303,0.0002624938,0.028618783],"study_design_scores_gemma":[0.00006533694,0.001841007,0.004943067,0.000021391787,0.000062157815,0.000065783854,0.00012672214,0.05075192,0.9413798,0.00006506477,0.0006524295,0.00002526166],"about_ca_topic_score_codex":0.00095456437,"about_ca_topic_score_gemma":0.0015351409,"teacher_disagreement_score":0.0018961655,"about_ca_system_score_codex":0.00017956873,"about_ca_system_score_gemma":0.00017663362,"threshold_uncertainty_score":0.006343305},"labels":[],"label_agreement":null},{"id":"W3135018947","doi":"10.1016/j.renene.2021.03.007","title":"Numerical evaluation of one-dimensional transparent photonic crystal heat mirror coatings for parabolic dish concentrator receivers","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Concentrated solar power; Optics; Radiation; Concentrator; Materials science; Solar mirror; Parabolic reflector; Optoelectronics; Reflector (photography); Nonimaging optics; Photonic crystal; Thermal; Solar energy; Photovoltaic thermal hybrid solar collector; Physics; Electrical engineering; Engineering; Meteorology","score_opus":0.052089529712583585,"score_gpt":0.2785833015301068,"score_spread":0.22649377181752323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135018947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86385506,0.0009238434,0.059043635,0.0005779404,0.00013731359,0.000097224045,0.00036811645,0.0004683898,0.07452845],"genre_scores_gemma":[0.98004156,0.00015878252,0.014398609,0.000049130536,0.00002067048,0.00002674533,0.00007049689,0.000053576965,0.005180507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998319,0.000023964285,0.00000483366,0.00001535144,0.00008382749,0.000040057184],"domain_scores_gemma":[0.99903154,0.0005520149,0.0001145784,0.00005386811,0.000211406,0.000036684167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027267614,0.0004464773,0.00042410323,0.0003028729,0.0004244134,0.00091638224,0.0008005683,0.0012521662,0.0032631115],"category_scores_gemma":[0.0017084342,0.00032712522,0.00036626906,0.00036463872,0.0006188812,0.00043069667,0.00036570625,0.00041355868,0.00026972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016978548,0.00009972952,0.0014000746,0.00018747516,0.000035921395,0.00026966675,0.00009999552,0.9525948,0.030787854,0.0082892915,0.0007669343,0.0052984194],"study_design_scores_gemma":[0.000013918412,0.000025408073,0.00029289603,0.0000054503207,0.0000049554415,0.000019654595,0.000019585028,0.997083,0.002164097,0.00018422915,0.00017872798,0.00000814534],"about_ca_topic_score_codex":0.008830887,"about_ca_topic_score_gemma":0.008046049,"teacher_disagreement_score":0.008830887,"about_ca_system_score_codex":0.0008393104,"about_ca_system_score_gemma":0.00075678574,"threshold_uncertainty_score":0.017558932},"labels":[],"label_agreement":null},{"id":"W3136612535","doi":"10.1016/j.renene.2021.03.036","title":"Rainflow-counting matrix interpolation over different operating conditions for hydroelectric turbine fatigue assessment","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":17,"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; École de Technologie Supérieure","funders":"Institut National des Sciences Appliquées de Lyon; Hydro-Québec; Mitacs; École de technologie supérieure; Indian National Science Academy","keywords":"Kriging; Interpolation (computer graphics); Turbine; Cycle count; Bivariate analysis; Matrix (chemical analysis); Engineering; Computer science; Structural engineering; Statistics; Mathematics; Mechanical engineering; Operations research; Materials science","score_opus":0.01086678024380415,"score_gpt":0.27083411138977925,"score_spread":0.2599673311459751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136612535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54529124,0.0001803291,0.44539276,0.0001035448,0.00006853142,0.000117566065,0.0022555084,0.0035349275,0.0030555916],"genre_scores_gemma":[0.8652225,0.000080167396,0.1313784,0.000016544931,0.000013315999,0.000054154352,0.0019301128,0.00013146405,0.0011733741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998963,0.000015690784,0.0000069201456,0.000029833609,0.000032563887,0.000018729743],"domain_scores_gemma":[0.99951744,0.00016101012,0.0000498037,0.000048839152,0.00019514695,0.000027760727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034466898,0.0003358161,0.00024264799,0.00072644494,0.00030529097,0.00031566975,0.0004007291,0.00039534824,0.002677026],"category_scores_gemma":[0.0013021879,0.00016513976,0.00040741113,0.0008280393,0.00012860807,0.0005063139,0.00026166587,0.0003648623,0.00034058501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007186089,0.000327289,0.022687262,0.00027810692,0.00009081487,0.00018758222,0.00019808795,0.59424585,0.033225194,0.0019603474,0.0043896656,0.34169117],"study_design_scores_gemma":[0.000008823405,0.000018414616,0.0054155733,0.000005321577,0.000006904506,0.000013625718,0.000017957773,0.99005044,0.0038657985,0.00020875083,0.00037992882,0.000008439433],"about_ca_topic_score_codex":0.013396498,"about_ca_topic_score_gemma":0.019856274,"teacher_disagreement_score":0.013396498,"about_ca_system_score_codex":0.00022849382,"about_ca_system_score_gemma":0.0006449786,"threshold_uncertainty_score":0.026637077},"labels":[],"label_agreement":null},{"id":"W3138159488","doi":"10.1016/j.renene.2021.03.032","title":"An insight into an electro-catalytic reactor concept for high value-added production from crude glycerol: Optimization, electrode passivation, product distribution, and reaction pathway identification","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Catalysis for Biomass Conversion","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":"Institut de Recherche et de Développement en Agroenvironnement; Centre de Recherche Industrielle du Québec; York University; Institut National de la Recherche Scientifique","funders":"","keywords":"Glycidol; Chemistry; Chronoamperometry; Catalysis; Product distribution; Glycerol; Passivation; Anode; Electrochemistry; Electrode; Inorganic chemistry; Chemical engineering; Cyclic voltammetry; Organic chemistry","score_opus":0.004916052165956262,"score_gpt":0.19360963744547702,"score_spread":0.18869358527952076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138159488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3307135,0.0043762997,0.6488993,0.00205362,0.00040029173,0.00039444075,0.00041798028,0.0009094313,0.011835248],"genre_scores_gemma":[0.7931721,0.0042501823,0.1914959,0.000330167,0.000056222,0.00018263243,0.00028323295,0.00010934171,0.010120116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998666,0.000010995126,0.000007371747,0.000027023427,0.000070628295,0.000017303504],"domain_scores_gemma":[0.99994814,0.000015840104,0.0000071386457,0.000007140021,0.000015244629,0.0000064126884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033645701,0.0005467046,0.0003181084,0.00018804865,0.00017551113,0.0007942092,0.0009585981,0.0006268319,0.00093458896],"category_scores_gemma":[0.00024416624,0.00033248318,0.00033211982,0.00013826635,0.00033846067,0.0010411696,0.00026914306,0.0010916907,0.0005172934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048376223,0.000057353318,0.00005755106,0.00009734139,0.000008839049,0.00007700419,0.000019780082,0.00089886924,0.98646486,0.0051064324,0.00013451675,0.0070292274],"study_design_scores_gemma":[0.00001599295,0.00024246098,0.00022712785,0.000006565853,0.000014310197,0.0002619976,0.000020850604,0.011984513,0.9804863,0.0010492895,0.0056742365,0.00001636403],"about_ca_topic_score_codex":0.00044760355,"about_ca_topic_score_gemma":0.0007311636,"teacher_disagreement_score":0.0009585981,"about_ca_system_score_codex":0.00036391258,"about_ca_system_score_gemma":0.000550241,"threshold_uncertainty_score":0.0031265616},"labels":[],"label_agreement":null},{"id":"W3138775569","doi":"10.1016/j.renene.2021.03.099","title":"Understanding the nature of bio-asphaltenes produced during hydrothermal liquefaction","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":20,"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 Ottawa; National Research Council Canada","funders":"Natural Resources Canada; National Research Council Canada; Office of Energy Research and Development; Government of Canada","keywords":"Asphaltene; Liquefaction; Chemistry; Asphalt; Residue (chemistry); Chemical engineering; Hydrothermal liquefaction; Organic chemistry; Materials science; Catalysis; Composite material","score_opus":0.018172119960841726,"score_gpt":0.2300550118773728,"score_spread":0.21188289191653106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138775569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988306,0.0023950248,0.0058401315,0.00021919726,0.000020349595,0.000018029772,0.00039569967,0.000017393568,0.0027880834],"genre_scores_gemma":[0.99279517,0.0024440906,0.0023706951,0.00006279875,0.000011938305,0.000012046519,0.0003363605,0.000009360372,0.0019575283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992704,0.0000049508913,0.0000043630084,0.00001607657,0.000024661147,0.000022872744],"domain_scores_gemma":[0.9999298,0.000018276496,0.000022066864,0.0000041311873,0.000017876464,0.00000786444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014308402,0.00022728463,0.00014408554,0.00022994324,0.00016512227,0.00047925249,0.0001686259,0.0003451622,0.0008920718],"category_scores_gemma":[0.00019249234,0.00014542359,0.00011807357,0.00018248297,0.0002744204,0.000982349,0.00017041035,0.00059947785,0.00025130177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099401754,0.000027700491,0.0022241273,0.00014435874,0.000009076282,0.00011956273,0.00006689109,0.0010310672,0.9881633,0.0010428774,0.00006995093,0.007001802],"study_design_scores_gemma":[0.0000055937044,0.0000752148,0.010687029,0.000021306694,0.000009447558,0.00016385267,0.0002262567,0.005150112,0.9781462,0.00083769014,0.0046669766,0.00001026888],"about_ca_topic_score_codex":0.0013061689,"about_ca_topic_score_gemma":0.0022222816,"teacher_disagreement_score":0.0013061689,"about_ca_system_score_codex":0.00033059777,"about_ca_system_score_gemma":0.00033578282,"threshold_uncertainty_score":0.0029842854},"labels":[],"label_agreement":null},{"id":"W3140628765","doi":"10.1016/j.renene.2021.04.013","title":"Analysis of photovoltaic module performance and life cycle degradation for a 23 year-old array in Quebec, Canada","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Photovoltaic system; Degradation (telecommunications); Statistical analysis; Environmental science; Reliability engineering; Moisture; Computer science; Electrical engineering; Engineering; Meteorology; Statistics; Geography; Mathematics","score_opus":0.008487208709548005,"score_gpt":0.20866627431485393,"score_spread":0.20017906560530593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140628765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938543,0.00027082412,0.0007084817,0.00004627858,0.0000040320742,0.000014008045,0.0014721609,0.000062014224,0.0035679713],"genre_scores_gemma":[0.9955094,0.00007292371,0.00047604274,0.000016761802,0.0000014813718,0.000004948867,0.0006218498,0.000012780475,0.0032839354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998419,0.0000072505004,0.0000046456867,0.00003550632,0.00006784741,0.000042814092],"domain_scores_gemma":[0.99952507,0.000026641988,0.000019120671,0.00000906135,0.00038932601,0.00003091017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023020165,0.0002715683,0.00034658998,0.0007754065,0.0011457851,0.0004939677,0.0006818891,0.00034435402,0.0011357643],"category_scores_gemma":[0.00033032306,0.00010056813,0.00030939197,0.0012274852,0.00021848107,0.00018528033,0.0001421922,0.00016518227,0.00032939317],"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":[0.00065978523,0.0003396486,0.71272486,0.00020088864,0.00027637157,0.0025779624,0.001089503,0.092620835,0.060431026,0.0009423219,0.007807222,0.12032959],"study_design_scores_gemma":[0.000012978783,0.00011531449,0.9447019,0.0000142502995,0.00007759219,0.00026131832,0.00051324035,0.041932363,0.008348492,0.000060484086,0.0039309976,0.00003105939],"about_ca_topic_score_codex":0.9650648,"about_ca_topic_score_gemma":0.9795576,"teacher_disagreement_score":0.034935176,"about_ca_system_score_codex":0.011023366,"about_ca_system_score_gemma":0.0027935824,"threshold_uncertainty_score":0.07998055},"labels":[],"label_agreement":null},{"id":"W3163969504","doi":"10.1016/j.renene.2021.05.061","title":"Retrofitting abandoned petroleum wells as doublet deep borehole heat exchangers for geothermal energy production—a numerical investigation","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":55,"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 Alberta","funders":"Canada First Research Excellence Fund; Alberta Innovates","keywords":"Borehole; Geothermal gradient; Geothermal energy; Heat exchanger; Thermosiphon; Inlet; Heat transfer; Retrofitting; Geology; Petroleum engineering; Mechanics; Engineering; Geotechnical engineering; Geomorphology; Mechanical engineering; Geophysics; Structural engineering","score_opus":0.014227413323315747,"score_gpt":0.22315117632749887,"score_spread":0.2089237630041831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163969504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909189,0.00006357132,0.004010401,0.00008673109,0.000030180528,0.000037902548,0.00010973,0.00004801284,0.0046945377],"genre_scores_gemma":[0.99693835,0.000042108997,0.001647291,0.000009825323,0.0000022119536,0.000015475265,0.000032460648,0.000006851009,0.001305359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999694,0.000085669795,0.000015130705,0.000067386085,0.000050871364,0.00008692965],"domain_scores_gemma":[0.9989209,0.0005460896,0.00013657847,0.00010778949,0.00012650974,0.00016212816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006407177,0.0006466814,0.00081055454,0.0006613006,0.0010358415,0.0020073021,0.0015640893,0.0026717973,0.002799469],"category_scores_gemma":[0.002141503,0.00083694916,0.0007972775,0.000902524,0.0014021805,0.0016028769,0.00083200657,0.0011660018,0.00023301765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003352139,0.00047054165,0.0073753432,0.000043692144,0.000029053077,0.00043283077,0.00005044291,0.98254955,0.0034181287,0.001539596,0.00026101206,0.0034946133],"study_design_scores_gemma":[0.00009272342,0.0004744558,0.0030413482,0.000011984806,0.000033461194,0.00005131008,0.0003521508,0.9924396,0.002728398,0.00041008953,0.00034417285,0.000020329644],"about_ca_topic_score_codex":0.02006425,"about_ca_topic_score_gemma":0.023629246,"teacher_disagreement_score":0.02006425,"about_ca_system_score_codex":0.0018125476,"about_ca_system_score_gemma":0.0017293773,"threshold_uncertainty_score":0.03989488},"labels":[],"label_agreement":null},{"id":"W3164646035","doi":"10.1016/j.renene.2021.05.055","title":"Microbial lipid accumulation through bioremediation of palm oil mill effluent using a yeast-bacteria co-culture","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"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":"Universiti Malaysia Pahang; Ministry of Higher Education, Malaysia","keywords":"Bioremediation; Pome; Yeast; Food science; Biomass (ecology); Bacteria; Microorganism; Biology; Chemical oxygen demand; Biofuel; Botany; Chemistry; Biotechnology; Wastewater; Agronomy; Environmental science; Biochemistry; Environmental engineering","score_opus":0.015822240790233238,"score_gpt":0.25835751492776005,"score_spread":0.24253527413752682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164646035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99509394,0.00045141386,0.0032022768,0.000060157,0.00003570526,0.000026531316,0.00012094656,0.00006605051,0.00094294484],"genre_scores_gemma":[0.9941455,0.000477995,0.0031536121,0.000015831065,0.000006519705,0.000014145799,0.00020158831,0.0000191058,0.0019657318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982375,0.000020465852,0.000020881866,0.00003888083,0.0000531553,0.000042871663],"domain_scores_gemma":[0.9999386,0.000007998167,0.000009919406,0.000006173813,0.000020042376,0.000017267923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023344014,0.0005970115,0.00037291646,0.00026094887,0.0001903048,0.0006741606,0.00026679973,0.0002446213,0.00038296927],"category_scores_gemma":[0.00014629577,0.00013374825,0.00041844932,0.00029356952,0.00015208681,0.0003056,0.00043879345,0.00045307298,0.0002752925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009077787,0.000034683726,0.00010173855,0.000019391273,0.0000028626414,0.00002195392,0.000007531849,0.000074198,0.99845207,0.000017338185,0.0000067553447,0.001170658],"study_design_scores_gemma":[0.0000032796297,0.00007084632,0.00021226419,0.0000019751924,0.0000075797916,0.000013205519,0.000009013518,0.0002449433,0.99927837,0.000004130008,0.00015282913,0.000001421556],"about_ca_topic_score_codex":0.0019435913,"about_ca_topic_score_gemma":0.0027862021,"teacher_disagreement_score":0.0019435913,"about_ca_system_score_codex":0.00026679033,"about_ca_system_score_gemma":0.00042634705,"threshold_uncertainty_score":0.0038645267},"labels":[],"label_agreement":null},{"id":"W3174981875","doi":"10.1016/j.renene.2021.06.057","title":"Generic EMT modeling method of Type-4 wind turbine generators based on detailed FRT studies","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Turbine Control Systems","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 Saskatchewan","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Transient (computer programming); Controller (irrigation); Parameterized complexity; Control theory (sociology); Control engineering; Process (computing); Fault (geology); Computer science; Turbine; Engineering; Control (management); Algorithm; Artificial intelligence","score_opus":0.02537133112234478,"score_gpt":0.24713748042416953,"score_spread":0.22176614930182476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174981875","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":[0.015595944,0.00022018097,0.9591332,0.000077753146,0.00006705311,0.000083446714,0.0002928223,0.00060577807,0.023923816],"genre_scores_gemma":[0.8709556,0.00069482543,0.100820005,0.00009970784,0.00008566833,0.00031941978,0.0007085387,0.0004010353,0.025915226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992573,0.00002352121,0.000004954744,0.000010425735,0.000028241822,0.000007093127],"domain_scores_gemma":[0.9999093,0.000024897872,0.000014626155,0.000015783697,0.000030012381,0.0000053007943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015159528,0.000505203,0.00053192425,0.00035196583,0.0002868259,0.00046518003,0.00078072486,0.00074920687,0.0061693923],"category_scores_gemma":[0.0003345384,0.00022566236,0.0006238754,0.00030879377,0.00018526142,0.0005780168,0.00028055554,0.00042355395,0.0013172231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003494903,0.000020487149,0.00026688128,0.00011272049,0.0000220339,0.0002790841,0.00005766057,0.95567364,0.0065642865,0.017459739,0.0009195264,0.01858894],"study_design_scores_gemma":[0.000005225056,0.000012614109,0.00013297152,0.0000089345385,0.00000558639,0.000043094424,0.0000071479444,0.99493223,0.00070619234,0.002046789,0.0020943293,0.0000048037195],"about_ca_topic_score_codex":0.0023327754,"about_ca_topic_score_gemma":0.0024718624,"teacher_disagreement_score":0.0061693923,"about_ca_system_score_codex":0.00020965587,"about_ca_system_score_gemma":0.00027582215,"threshold_uncertainty_score":0.020638645},"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":"W3181563154","doi":"10.1016/j.renene.2021.07.004","title":"Assessing the performance and the wake recovery rate of flapping-foil turbines with end-plates and detached end-plates","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":10,"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 Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wake; FOIL method; Flapping; End-to-end principle; Engineering; Environmental science; Aerospace engineering; Marine engineering; Materials science; Computer science; Composite material; Wing","score_opus":0.007214962762501249,"score_gpt":0.1880624762839975,"score_spread":0.18084751352149625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181563154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973591,0.00004348624,0.0020908301,0.000007710377,0.000007813811,0.000010465792,0.00007170298,0.00002433627,0.00038454545],"genre_scores_gemma":[0.998706,0.000019912986,0.0007886483,0.000002712579,0.0000014968105,0.0000060252582,0.000096797325,0.0000049029873,0.00037345005],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998091,0.000026556625,0.000014067136,0.000042034135,0.00006791471,0.000040319723],"domain_scores_gemma":[0.998992,0.00046349788,0.00013761905,0.000083392515,0.00024056711,0.00008285235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047724388,0.00038880095,0.00029867547,0.0003286701,0.00023239416,0.00024204375,0.00034074334,0.00061917235,0.0011728168],"category_scores_gemma":[0.001456864,0.00016224665,0.00030228152,0.00017164207,0.00026741883,0.000547226,0.00024759522,0.00027969372,0.00036155884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008477559,0.00094199774,0.05785366,0.0003171909,0.00012301987,0.0006788243,0.00020684264,0.2182151,0.6506744,0.00047607528,0.0005088112,0.061526563],"study_design_scores_gemma":[0.00014894443,0.011318994,0.18650341,0.000044089153,0.00012155956,0.00047615735,0.00034328137,0.3947737,0.40505394,0.0003358732,0.00076128094,0.000118794385],"about_ca_topic_score_codex":0.00069274765,"about_ca_topic_score_gemma":0.0006623833,"teacher_disagreement_score":0.0011728168,"about_ca_system_score_codex":0.00014477097,"about_ca_system_score_gemma":0.00016241506,"threshold_uncertainty_score":0.003923416},"labels":[],"label_agreement":null},{"id":"W3182951519","doi":"10.1016/j.renene.2021.07.030","title":"Determinants of renewable energy consumption: Importance of democratic institutions","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":244,"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 Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Edge Hill University","keywords":"Renewable energy; Economics; Consumption (sociology); Renewable energy credit; Democracy; Openness to experience; Energy consumption; Feed-in tariff; Energy policy; Political science; Engineering; Politics; Law","score_opus":0.03511248934244076,"score_gpt":0.22885326758930288,"score_spread":0.19374077824686212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182951519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838855,0.000722667,0.0013675276,0.0033682878,0.000031678817,0.000014487031,0.00027265016,0.000021631775,0.010315584],"genre_scores_gemma":[0.9992446,0.000092613685,0.000043917535,0.000036927006,0.000021613185,0.000001463302,0.00004621382,0.0000025218958,0.00051013415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989293,0.00044714025,0.00006579701,0.00012308406,0.00011052447,0.00032412625],"domain_scores_gemma":[0.963554,0.02387339,0.007606283,0.001750948,0.0013595371,0.001855721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017129432,0.00014004597,0.00038208277,0.000614957,0.00041766503,0.0020383785,0.00038488326,0.0009043636,0.0060155387],"category_scores_gemma":[0.01282911,0.00020884267,0.00055178296,0.0009844229,0.0012055311,0.0011309362,0.00093524274,0.0015797437,0.00037466007],"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":[0.00021062209,0.00023829627,0.96694684,0.000039748782,0.00025401876,0.00017620268,0.00025720944,0.00460963,0.0003114993,0.016246242,0.0011499198,0.009559859],"study_design_scores_gemma":[0.000032452135,0.00006846975,0.9680607,0.00003554977,0.00020593191,0.00011287624,0.0012591764,0.011212053,0.00054898835,0.015658893,0.0027828582,0.00002202436],"about_ca_topic_score_codex":0.009435634,"about_ca_topic_score_gemma":0.012689282,"teacher_disagreement_score":0.009435634,"about_ca_system_score_codex":0.0006342037,"about_ca_system_score_gemma":0.0008212059,"threshold_uncertainty_score":0.020123959},"labels":[],"label_agreement":null},{"id":"W3186176828","doi":"10.1016/j.renene.2021.07.028","title":"Branched alkylated polynorbornene and 3D flower-like MoS2 nanospheres reinforced phase change composites with high thermal energy storage capacity and photothermal conversion efficiency","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials 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":"University of Waterloo","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Soochow University; Nantong University; National Natural Science Foundation of China","keywords":"Materials science; Phase-change material; Thermal energy storage; Phase change; Composite material; Thermal; Photothermal therapy; Energy storage; Phase (matter); Nanotechnology; Chemistry; Engineering physics","score_opus":0.01441615225573882,"score_gpt":0.20718975318261895,"score_spread":0.19277360092688012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186176828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99736005,0.0002175903,0.0008979253,0.000021166214,0.000020604366,0.0000046741548,0.000097089105,0.00007944461,0.0013013734],"genre_scores_gemma":[0.99736255,0.00011184916,0.00076615065,0.000013179472,0.000004529468,0.000006695402,0.000088060835,0.000018708775,0.0016283046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999503,0.0000034621592,0.000003196165,0.000010919479,0.000016327644,0.000015722326],"domain_scores_gemma":[0.9999459,0.0000073543756,0.000012899468,0.000006209677,0.000012060467,0.000015639498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048828064,0.0002830658,0.00012613361,0.0002326205,0.00012736155,0.00017924591,0.00012730145,0.00022193803,0.001209978],"category_scores_gemma":[0.000090838854,0.00013262763,0.0001809606,0.00018723797,0.000120697274,0.00027267795,0.00016992456,0.00026478787,0.00022189721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044484645,0.000008585674,0.00008708625,0.000023319795,0.0000043773284,0.000055031935,0.000013329177,0.00013277546,0.9985623,0.00009938802,0.000054911776,0.00091437576],"study_design_scores_gemma":[0.0000042948636,0.000069634545,0.0017756089,0.0000018218456,0.000009187943,0.00006020273,0.000015967082,0.0012351861,0.99609727,0.00003188597,0.0006927184,0.0000064016044],"about_ca_topic_score_codex":0.00058129855,"about_ca_topic_score_gemma":0.0026323234,"teacher_disagreement_score":0.001209978,"about_ca_system_score_codex":0.00016314766,"about_ca_system_score_gemma":0.000106436484,"threshold_uncertainty_score":0.0040477514},"labels":[],"label_agreement":null},{"id":"W3190358310","doi":"10.1016/j.renene.2021.07.144","title":"Do FinTech trigger renewable energy use? Evidence from OECD countries","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":221,"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 TÉLUQ","funders":"","keywords":"Renewable energy; Renewable energy credit; Energy security; Natural resource economics; Economics; Business; Energy subsidies; Feed-in tariff; Environmental economics; Energy policy; Engineering","score_opus":0.03220501180656714,"score_gpt":0.2079970275248285,"score_spread":0.17579201571826136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190358310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8662105,0.014445715,0.00031276987,0.008354832,0.00027566042,0.000049673632,0.017183935,0.000071734285,0.09309512],"genre_scores_gemma":[0.981111,0.0068697785,0.00009180348,0.001408662,0.000105108156,0.000025358282,0.005109687,0.000016800552,0.0052618072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870634,0.00024993945,0.0000819435,0.0001724063,0.00034078845,0.00044870068],"domain_scores_gemma":[0.9902062,0.0034251409,0.004390188,0.00048092837,0.0009359846,0.0005615567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015018657,0.00036171539,0.00040810555,0.001892597,0.00067595235,0.0029331886,0.00044488668,0.0012547851,0.009162637],"category_scores_gemma":[0.00535355,0.00023083267,0.00067677326,0.0036655315,0.0008329823,0.0012319555,0.001548147,0.00077936455,0.0010912878],"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":[0.0016874236,0.00027290313,0.9284213,0.00068629364,0.0007443582,0.001202928,0.00074410706,0.0012491692,0.00042203817,0.008178414,0.019460034,0.036931083],"study_design_scores_gemma":[0.00010107583,0.00015931149,0.9717533,0.00036927988,0.00037541048,0.0001497284,0.0019800116,0.00014669214,0.0008012756,0.0009890249,0.023151435,0.000023467855],"about_ca_topic_score_codex":0.06729738,"about_ca_topic_score_gemma":0.07888785,"teacher_disagreement_score":0.06729738,"about_ca_system_score_codex":0.0013518455,"about_ca_system_score_gemma":0.0016204988,"threshold_uncertainty_score":0.1338113},"labels":[],"label_agreement":null},{"id":"W3201808684","doi":"10.1016/j.renene.2021.09.088","title":"Effects of length-to-diameter ratio, pinewood sawdust, and sodium lignosulfonate on quality of rice straw pellets produced via a flat die pellet mill","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":29,"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 Saskatchewan","funders":"Stockholm Environment Institute","keywords":"Pellets; Pellet; Sawdust; Heat of combustion; Materials science; Ultimate tensile strength; Straw; Pelletizing; Biomass (ecology); Bioenergy; Animal science; Chemistry; Biofuel; Pulp and paper industry; Composite material; Combustion; Waste management; Agronomy","score_opus":0.008085141116802471,"score_gpt":0.2082386026585696,"score_spread":0.20015346154176714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201808684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937457,0.00018774762,0.0001478328,0.000010559902,0.000007463452,0.0000035613389,0.00006873835,0.00000896461,0.00019045574],"genre_scores_gemma":[0.99880815,0.00015014432,0.00021849493,0.00001773784,0.000003029841,0.0000028986622,0.000090552014,0.000011782056,0.0006972045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997212,0.000043241358,0.000035194927,0.000059586633,0.00007125209,0.000069518894],"domain_scores_gemma":[0.999335,0.00018485138,0.0001864761,0.000025681396,0.0001223066,0.00014561856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098888,0.00042587446,0.0002939294,0.00025685775,0.00023275404,0.0006179172,0.00020413364,0.00032551403,0.0012191974],"category_scores_gemma":[0.00054099795,0.0003283234,0.0004303981,0.00031621644,0.00025841928,0.00047287066,0.0002115674,0.000572403,0.00020526274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036267429,0.00018273297,0.0023615921,0.00008864665,0.000044812852,0.00011320306,0.000063657055,0.0004103114,0.9907375,0.0000316083,0.000036977606,0.0023022387],"study_design_scores_gemma":[0.000038681537,0.001701006,0.02123259,0.000007209395,0.000106074425,0.00004392,0.000111570764,0.0012621601,0.97522616,0.000014901446,0.0002402262,0.000015451431],"about_ca_topic_score_codex":0.0023545385,"about_ca_topic_score_gemma":0.0053493087,"teacher_disagreement_score":0.0023545385,"about_ca_system_score_codex":0.00029664865,"about_ca_system_score_gemma":0.000260691,"threshold_uncertainty_score":0.0046817064},"labels":[],"label_agreement":null},{"id":"W3205526623","doi":"10.1016/j.renene.2021.10.021","title":"Technical performance evaluation and optimization of a run-of-river hydropower facility","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Water resources management and optimization","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":"Toronto Metropolitan University","funders":"","keywords":"Hydropower; Environmental science; Computer science; Engineering; Reliability engineering; Systems engineering; Electrical engineering","score_opus":0.009021385489222515,"score_gpt":0.19883226113069621,"score_spread":0.1898108756414737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205526623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97717184,0.000092251204,0.014117315,0.00012937892,0.000016162152,0.00010288363,0.00034329406,0.00029189317,0.0077348906],"genre_scores_gemma":[0.9966889,0.000022144508,0.0021163775,0.000006287688,0.0000018805821,0.000020847308,0.000105035644,0.00001854916,0.0010200175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994772,0.00018272764,0.000019454103,0.00007223597,0.00012043767,0.00012802758],"domain_scores_gemma":[0.99917513,0.0003507611,0.00008277504,0.00006643231,0.00021668797,0.00010822136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009843623,0.0007035033,0.0007207106,0.00077269215,0.0008501152,0.001102982,0.0006831859,0.00097446155,0.0026165422],"category_scores_gemma":[0.001522154,0.000402732,0.0006016945,0.00070804404,0.00041809582,0.0006486566,0.0005365164,0.0005105179,0.00034588506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041241632,0.00017793919,0.0022734713,0.000046011806,0.000023849152,0.000113367016,0.0000149697635,0.98001397,0.008745775,0.00042056394,0.00024237191,0.007515363],"study_design_scores_gemma":[0.00006635876,0.0014301448,0.0053609977,0.000005993989,0.000039225113,0.00003897308,0.00007890112,0.9803255,0.011987419,0.00021392638,0.00042435783,0.00002815942],"about_ca_topic_score_codex":0.0071636634,"about_ca_topic_score_gemma":0.008204131,"teacher_disagreement_score":0.0071636634,"about_ca_system_score_codex":0.0017637964,"about_ca_system_score_gemma":0.0012798327,"threshold_uncertainty_score":0.01424396},"labels":[],"label_agreement":null},{"id":"W3207595327","doi":"10.1016/j.renene.2021.10.038","title":"Field-scale experimental and numerical analysis of a downhole coaxial heat exchanger for geothermal energy production","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"Mitacs","keywords":"Borehole; Geothermal gradient; Geothermal energy; Mechanics; Coaxial; Heat exchanger; Heat transfer; Mass flow rate; Thermal conductivity; Heat pump; Inlet; Thermal; Volumetric flow rate; Volume (thermodynamics); Materials science; Geology; Thermodynamics; Geotechnical engineering; Engineering; Mechanical engineering; Geophysics; Physics; Geomorphology","score_opus":0.011437794653889125,"score_gpt":0.23860381771773195,"score_spread":0.22716602306384281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207595327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707806,0.000031768388,0.0013665401,0.00004808072,0.000011133252,0.000026214104,0.00022458163,0.000072534254,0.0011410288],"genre_scores_gemma":[0.9984738,0.000021132839,0.0009726786,0.0000050573717,0.000002636678,0.000013932764,0.00010160154,0.000006460117,0.0004028049],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998385,0.000021562313,0.000007024661,0.000036729307,0.000061606464,0.000034540702],"domain_scores_gemma":[0.999519,0.00018282837,0.00004611705,0.000058481724,0.00015096241,0.00004258062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036669688,0.00029442724,0.00036020592,0.00025094286,0.000673914,0.0004638833,0.0007060176,0.0005249475,0.002560218],"category_scores_gemma":[0.0006863104,0.00017863458,0.00023608762,0.000364483,0.0007576654,0.00067634607,0.00032716047,0.0005322306,0.00014498427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035678002,0.003645902,0.02259568,0.0004479027,0.00003786625,0.0003853083,0.0003358788,0.12482132,0.8179198,0.0018835291,0.0022569825,0.022102214],"study_design_scores_gemma":[0.00066867616,0.0032692938,0.08079229,0.0000237636,0.00005021709,0.00010464045,0.000524611,0.45402333,0.4571055,0.0006181749,0.0027344434,0.00008502244],"about_ca_topic_score_codex":0.0063115526,"about_ca_topic_score_gemma":0.006058326,"teacher_disagreement_score":0.0063115526,"about_ca_system_score_codex":0.00073880545,"about_ca_system_score_gemma":0.00069155433,"threshold_uncertainty_score":0.012549639},"labels":[],"label_agreement":null},{"id":"W3212523986","doi":"10.1016/j.renene.2021.11.041","title":"Electrochemical promotion of ethanol partial oxidation and reforming reactions for hydrogen production","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":22,"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 Ottawa","funders":"Ministerio de Ciencia e Innovación; Mitacs; Ministerio de Ciencia, Innovación y Universidades","keywords":"Partial oxidation; Catalysis; Hydrogen production; Steam reforming; Chemistry; Electrochemistry; Inorganic chemistry; Methane reformer; Dehydrogenation; Hydrogen; Chemical engineering; Electrode; Organic chemistry; Physical chemistry","score_opus":0.012505933673560224,"score_gpt":0.23058258936915496,"score_spread":0.21807665569559473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212523986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259497,0.015838802,0.026694674,0.0013760112,0.0008888476,0.00016363156,0.00051743,0.0005114998,0.028059551],"genre_scores_gemma":[0.9875826,0.003314772,0.0031641012,0.0001235034,0.000048292353,0.000022286766,0.00017788507,0.000038107093,0.005528465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984753,0.000016772796,0.000011429918,0.00002552059,0.000059696322,0.00003895406],"domain_scores_gemma":[0.99993885,0.000019556115,0.0000075782727,0.0000074807963,0.000018490231,0.000008017475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020333989,0.0003414944,0.00027164703,0.00022778101,0.00015371901,0.00031533797,0.00034792346,0.00031627342,0.0029387511],"category_scores_gemma":[0.00029230467,0.00022063329,0.00019807709,0.00026160627,0.00017132697,0.00047411275,0.00025139787,0.0008023599,0.00058065064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015112439,0.00007914596,0.00015144901,0.00026638748,0.000017247043,0.00007201471,0.000045092955,0.00014767724,0.9776579,0.0014785854,0.0007170557,0.019216316],"study_design_scores_gemma":[0.0000058911737,0.00004527238,0.00036056407,0.000004256263,0.000007284834,0.000038747527,0.000013599275,0.000450721,0.99574226,0.000059720227,0.003268341,0.0000033042486],"about_ca_topic_score_codex":0.0005903243,"about_ca_topic_score_gemma":0.002356319,"teacher_disagreement_score":0.0029387511,"about_ca_system_score_codex":0.00025701648,"about_ca_system_score_gemma":0.00022281073,"threshold_uncertainty_score":0.009831071},"labels":[],"label_agreement":null},{"id":"W3216138608","doi":"10.1016/j.renene.2021.11.063","title":"Periodic theory of greenhouse integrated semi-transparent photovoltaic thermal (GiSPVT) system integrated with earth air heat exchanger (EAHE)","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","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 Calgary","funders":"","keywords":"Photovoltaic system; Heat exchanger; Thermal; Greenhouse; Environmental science; Materials science; Nuclear engineering; Engineering physics; Aerospace engineering; Physics; Engineering; Meteorology; Mechanical engineering; Electrical engineering; Botany","score_opus":0.013008300895385898,"score_gpt":0.1848532821763129,"score_spread":0.17184498128092698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216138608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11952312,0.0033354159,0.645194,0.0011715157,0.0008540741,0.000087879336,0.00032612236,0.00027446914,0.22923337],"genre_scores_gemma":[0.95814747,0.0009781028,0.014082859,0.00016249745,0.00012755982,0.00007379274,0.000077494624,0.000067739275,0.026282452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998592,0.000025474492,0.0000039880397,0.000032616386,0.00005654081,0.000022262899],"domain_scores_gemma":[0.99991775,0.000021665688,0.000011548115,0.000010707613,0.000029064424,0.000009170733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016597657,0.00039696723,0.0003781244,0.0003915521,0.00059694774,0.00082865346,0.00085861626,0.0007194808,0.0059095616],"category_scores_gemma":[0.00029537783,0.00029450472,0.0004841591,0.00029368795,0.0008054099,0.00093042507,0.00046744494,0.0006411209,0.00045607283],"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":[0.0000702271,0.00006799806,0.0008342304,0.0002017146,0.000041427786,0.00033450208,0.00020033751,0.13584556,0.019898154,0.8278218,0.0036701835,0.011013842],"study_design_scores_gemma":[0.000017497767,0.000049366423,0.00095969887,0.000019729503,0.000021630096,0.00020011637,0.00006982446,0.8775032,0.002305908,0.11474976,0.00408258,0.000020628482],"about_ca_topic_score_codex":0.0019308819,"about_ca_topic_score_gemma":0.0013393156,"teacher_disagreement_score":0.0059095616,"about_ca_system_score_codex":0.00061753165,"about_ca_system_score_gemma":0.00035876775,"threshold_uncertainty_score":0.01976943},"labels":[],"label_agreement":null},{"id":"W3216170055","doi":"10.1016/j.renene.2021.11.081","title":"A resilient drop-in biofuel supply chain integrated with existing petroleum infrastructure: Toward more sustainable transport fuel solutions","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":49,"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":"Supply chain; CVAR; Greenhouse gas; Biofuel; Fossil fuel; Environmental economics; Sustainability; Petroleum; Business; Risk analysis (engineering); Natural resource economics; Expected shortfall; Engineering; Risk management; Waste management; Economics; Finance","score_opus":0.008038115729706393,"score_gpt":0.1961867040152091,"score_spread":0.1881485882855027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216170055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29987976,0.00081148365,0.5785986,0.013302097,0.0011778317,0.0008394287,0.0011322453,0.004067796,0.10019086],"genre_scores_gemma":[0.8933365,0.0006528683,0.08363667,0.00091617805,0.000110281275,0.000108494,0.0007238309,0.00018103892,0.020334162],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956995,0.0000582387,0.000014689115,0.000086689135,0.00012765857,0.00014280292],"domain_scores_gemma":[0.99920803,0.0000762997,0.00009231815,0.00014835344,0.00031828493,0.00015679261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008784135,0.00057288446,0.00027689952,0.00065522065,0.0009753807,0.0027366246,0.0015523694,0.0011680478,0.010305508],"category_scores_gemma":[0.001186071,0.0002878587,0.0004016554,0.00077516126,0.0006211204,0.005067338,0.0033025965,0.0012244893,0.0026200935],"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":[0.0011604473,0.0019281678,0.018874435,0.0006285376,0.00018941595,0.0019506435,0.00075479347,0.19446327,0.089514375,0.16584022,0.03605779,0.4886379],"study_design_scores_gemma":[0.00012842345,0.001112737,0.0049673095,0.00034192277,0.00015297974,0.0005550341,0.0028452547,0.659602,0.04409163,0.13512167,0.1509635,0.00011743187],"about_ca_topic_score_codex":0.002563047,"about_ca_topic_score_gemma":0.0041257883,"teacher_disagreement_score":0.010305508,"about_ca_system_score_codex":0.0011555309,"about_ca_system_score_gemma":0.002778769,"threshold_uncertainty_score":0.034475327},"labels":[],"label_agreement":null},{"id":"W4200414910","doi":"10.1016/j.renene.2021.12.091","title":"Experimental and numerical verifications of biochar gasification kinetics using TGA","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":14,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Char; Crucible (geodemography); Diffusion; Thermogravimetric analysis; Materials science; Particle (ecology); Porosity; Chemical engineering; Gaseous diffusion; Chemistry; Combustion; Thermodynamics; Composite material; Organic chemistry; Physics","score_opus":0.014275242650128719,"score_gpt":0.22108895135665502,"score_spread":0.2068137087065263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200414910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810004,0.00030091265,0.009451843,0.00007795339,0.000059320384,0.00005188835,0.001139981,0.0003789377,0.0075388],"genre_scores_gemma":[0.9929798,0.00013704361,0.0056406576,0.000007014447,0.000004485741,0.000021425125,0.0002521988,0.000037216854,0.00092028355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996816,0.000031526888,0.00003330913,0.000039841558,0.0001710528,0.000042635296],"domain_scores_gemma":[0.9995009,0.00020649825,0.000034072913,0.000089879984,0.00015625333,0.000012496575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069882185,0.0005461586,0.00037475364,0.0005198313,0.000782467,0.00047047288,0.0007542421,0.0006083446,0.0036055879],"category_scores_gemma":[0.0013939767,0.00026556785,0.0004284978,0.0006350635,0.0004606643,0.00050244207,0.00035038896,0.00048271994,0.0005075862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068876625,0.00029685258,0.0032397571,0.0004291146,0.000021247017,0.00021435104,0.00026056496,0.082252875,0.89249647,0.0030279108,0.00040085477,0.016671197],"study_design_scores_gemma":[0.0000411427,0.00015382271,0.00265888,0.000014752008,0.000009544818,0.00004859056,0.00007621663,0.11303035,0.8822335,0.0002344686,0.0014801621,0.00001861664],"about_ca_topic_score_codex":0.005251782,"about_ca_topic_score_gemma":0.004565858,"teacher_disagreement_score":0.005251782,"about_ca_system_score_codex":0.0005100238,"about_ca_system_score_gemma":0.00043113108,"threshold_uncertainty_score":0.012061834},"labels":[],"label_agreement":null},{"id":"W4206021539","doi":"10.1016/j.renene.2021.12.143","title":"Modeling and simulation of a multi-bed industrial reactor for renewable diesel hydroprocessing","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Catalysis and Hydrodesulfurization Studies","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":"Natural Resources Canada","funders":"Instituto Mexicano del Petróleo; Consejo Nacional de Ciencia y Tecnología","keywords":"Process engineering; Hydrodesulfurization; Diesel fuel; Trickle-bed reactor; Exothermic reaction; Renewable energy; Steam reforming; Mass transfer; Waste management; Nuclear engineering; Environmental science; Chemistry; Hydrogen; Engineering; Hydrogen production; Catalysis","score_opus":0.04050413852331955,"score_gpt":0.24877131898522067,"score_spread":0.20826718046190112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206021539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95317996,0.00031023833,0.023190971,0.0005764033,0.000095966854,0.00010776249,0.0006572244,0.00034621306,0.0215352],"genre_scores_gemma":[0.99231815,0.000100207704,0.0036956319,0.000036457186,0.000011252218,0.000054877986,0.00019647389,0.000029686498,0.0035573095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981195,0.00004110449,0.000010329397,0.000039885264,0.000043279073,0.0000534955],"domain_scores_gemma":[0.9994481,0.0003155184,0.00004370147,0.000032921416,0.000080931735,0.00007885741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034513324,0.0007827074,0.001351581,0.0005516717,0.0011836872,0.0014117239,0.0016293647,0.0023375524,0.004115341],"category_scores_gemma":[0.0008573944,0.00074012746,0.0010860536,0.00053099875,0.0008227524,0.0008368862,0.0007680609,0.0010274706,0.0003642423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005955687,0.000061355124,0.0005139762,0.00001530669,0.000008394032,0.00005390088,0.000013035844,0.99723417,0.000962376,0.00033599016,0.000081780345,0.0006602229],"study_design_scores_gemma":[0.000013582259,0.000025067346,0.00019805646,0.0000010997524,0.000003174328,0.00000465686,0.000011695203,0.9991165,0.00047564865,0.000068435256,0.000078419136,0.0000036840831],"about_ca_topic_score_codex":0.04496816,"about_ca_topic_score_gemma":0.021158896,"teacher_disagreement_score":0.04496816,"about_ca_system_score_codex":0.0017633314,"about_ca_system_score_gemma":0.0017978554,"threshold_uncertainty_score":0.08941281},"labels":[],"label_agreement":null},{"id":"W4210627111","doi":"10.1016/j.renene.2022.01.051","title":"Experimental study on the effects of multi-resonance plasmonic nanoparticles for improving the solar collector efficiency","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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 Calgary","funders":"Universiti Malaya","keywords":"Nanofluid; Materials science; Absorption (acoustics); Surface plasmon resonance; Nanofluids in solar collectors; Plasmon; Radiation; Nanoparticle; Solar cell; Volume fraction; Silver nanoparticle; Thermal; Irradiation; Optoelectronics; Nanotechnology; Chemical engineering; Composite material; Optics; Photovoltaic thermal hybrid solar collector; Meteorology","score_opus":0.017545372893823113,"score_gpt":0.2327470158296367,"score_spread":0.2152016429358136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210627111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885865,0.001001582,0.0041388236,0.000110255954,0.000051031333,0.000034633806,0.00013399549,0.00007011918,0.005873062],"genre_scores_gemma":[0.99482614,0.00035579214,0.003282691,0.0000325109,0.000015484165,0.000029212064,0.000069903625,0.000021177108,0.00136698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961686,0.000059048576,0.000020211643,0.00011651114,0.00012479143,0.00006252835],"domain_scores_gemma":[0.9995859,0.00016151392,0.00005590978,0.000069583555,0.00011145506,0.00001562579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050223235,0.00040346038,0.00023620382,0.00019480255,0.00046431329,0.00031323935,0.00048937247,0.0005503894,0.0021827663],"category_scores_gemma":[0.0005157929,0.0002459792,0.00036348472,0.00022438106,0.0003785076,0.00045531505,0.00023237754,0.00048196572,0.00031097734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092016715,0.00004035138,0.00008470641,0.00009255878,0.0000054659936,0.00003372561,0.00003919974,0.00017996696,0.9979067,0.00015497558,0.0000787575,0.0012914849],"study_design_scores_gemma":[0.0000069248076,0.00009363249,0.00043538312,0.0000027692006,0.000008885508,0.000028720053,0.000023804969,0.00088439445,0.9979797,0.000022076632,0.00050887826,0.000004814906],"about_ca_topic_score_codex":0.00051279186,"about_ca_topic_score_gemma":0.0006711688,"teacher_disagreement_score":0.0021827663,"about_ca_system_score_codex":0.00029804683,"about_ca_system_score_gemma":0.00013582532,"threshold_uncertainty_score":0.007302046},"labels":[],"label_agreement":null},{"id":"W4210876459","doi":"10.1016/j.renene.2022.02.031","title":"Ex-situ experimental study on dynamic behaviors and detachment characteristics of liquid water in a transparent channel of PEMFC","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":39,"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":"Anhui Provincial Key Research and Development Plan; National Natural Science Foundation of China","keywords":"Proton exchange membrane fuel cell; Contact angle; Materials science; Mechanics; Channel (broadcasting); Flow (mathematics); Deformation (meteorology); Diffusion; Membrane; Analytical Chemistry (journal); Chemistry; Composite material; Chromatography; Thermodynamics; Electrical engineering","score_opus":0.009598872673716554,"score_gpt":0.22092242140565876,"score_spread":0.2113235487319422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210876459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99734676,0.00017045763,0.0014875202,0.000038029524,0.000010357079,0.000004532775,0.0001538556,0.000024132749,0.00076431845],"genre_scores_gemma":[0.9985973,0.00009366907,0.0005501621,0.000012080266,0.000004741287,0.00000659662,0.00006524398,0.0000047091708,0.00066550385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990106,0.0000052712453,0.0000038475437,0.000032329674,0.000028814999,0.000028723332],"domain_scores_gemma":[0.9999076,0.000037010337,0.000021851265,0.00000929525,0.000015937983,0.000008290247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010033077,0.00020430032,0.0001734783,0.00012673571,0.00034337497,0.00023026003,0.00028716467,0.00033569254,0.0016913635],"category_scores_gemma":[0.00016058102,0.00013948981,0.00020700805,0.00017542078,0.00032634617,0.00052935834,0.0001977889,0.00045815433,0.00012692873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091529866,0.000026820879,0.00040319876,0.00003089276,0.0000032933708,0.00009505019,0.00007091988,0.00015229505,0.9981584,0.0000874445,0.000041515013,0.0008387391],"study_design_scores_gemma":[0.0000067704605,0.000079578764,0.0041661193,0.000002970785,0.000008736929,0.00007103409,0.00013572145,0.0030000964,0.9919335,0.000052584306,0.00053366617,0.000009201585],"about_ca_topic_score_codex":0.0008312585,"about_ca_topic_score_gemma":0.0008552888,"teacher_disagreement_score":0.0016913635,"about_ca_system_score_codex":0.00017543232,"about_ca_system_score_gemma":0.0001102111,"threshold_uncertainty_score":0.0056582093},"labels":[],"label_agreement":null},{"id":"W4214895245","doi":"10.1016/j.renene.2022.02.111","title":"CO2 behavior amidst the COVID-19 pandemic in the United Kingdom: The role of renewable and non-renewable energy development","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":115,"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":"Renewable energy; Cointegration; Context (archaeology); Fossil fuel; Causality (physics); Granger causality; Pandemic; Economics; Non-renewable resource; Natural resource economics; Coronavirus disease 2019 (COVID-19); Econometrics; Geography; Biology; Ecology; Medicine; Infectious disease (medical specialty)","score_opus":0.040694384710610196,"score_gpt":0.22692667852089224,"score_spread":0.18623229381028206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214895245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97087294,0.0011768372,0.000073230265,0.018400688,0.00016692017,0.000016727163,0.0037767084,0.000012507521,0.0055034277],"genre_scores_gemma":[0.9963811,0.00041181128,0.000018914812,0.0006109828,0.000046495814,0.0000059506974,0.0010308898,0.000009776977,0.0014842422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999281,0.00011872651,0.00006913055,0.00009797109,0.00008701572,0.00034624067],"domain_scores_gemma":[0.99702317,0.00045549238,0.0010321056,0.00009801736,0.0006642951,0.0007268991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074340065,0.00021795282,0.00046038424,0.00042864974,0.00060592353,0.0031190577,0.0006770442,0.0029853017,0.0048452965],"category_scores_gemma":[0.004716652,0.00023792911,0.00040023355,0.0009009646,0.00060075533,0.0015629855,0.0016942798,0.0020044968,0.000734301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015976347,0.0002109265,0.9311945,0.00018988791,0.0002736601,0.002770667,0.0029144608,0.0068570585,0.0010182844,0.0062151416,0.037840765,0.008916949],"study_design_scores_gemma":[0.00003086642,0.00009358654,0.97437483,0.000104284605,0.000041995587,0.0002016238,0.009331948,0.0060376893,0.0002751472,0.00069031666,0.008767345,0.00005037524],"about_ca_topic_score_codex":0.5485566,"about_ca_topic_score_gemma":0.5937953,"teacher_disagreement_score":0.5485566,"about_ca_system_score_codex":0.0047739875,"about_ca_system_score_gemma":0.0025090028,"threshold_uncertainty_score":0.908204},"labels":[],"label_agreement":null},{"id":"W4226019521","doi":"10.1016/j.renene.2022.04.037","title":"Sustainable production of oxygen-rich hierarchically porous carbon network from corn straw lignin and silk degumming wastewater for high-performance electrochemical energy storage","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":26,"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; University of Calgary","funders":"","keywords":"Sericin; Materials science; Chemical engineering; Lignin; Electrochemistry; Supercapacitor; Biomass (ecology); Porosity; Energy storage; Specific surface area; SILK; Chemical oxygen demand; Wastewater; Pulp and paper industry; Chemistry; Waste management; Electrode; Composite material; Organic chemistry; Catalysis","score_opus":0.0058784885541888305,"score_gpt":0.18316606137849364,"score_spread":0.17728757282430482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226019521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924455,0.0007846274,0.0035508885,0.000082049686,0.000041387968,0.000022017974,0.00031743897,0.00009451465,0.0026615313],"genre_scores_gemma":[0.9972379,0.00026210246,0.0014156923,0.000018530125,0.000003975745,0.000008572767,0.00016565569,0.000007823442,0.00087973656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999341,0.000004145342,0.0000048443812,0.000013227271,0.000022872402,0.000020762953],"domain_scores_gemma":[0.9999503,0.000006953836,0.000011035243,0.0000049323016,0.000011336533,0.000015454974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000848142,0.00026105836,0.00012582584,0.00031051753,0.00016359927,0.00025231854,0.00022911906,0.00030963868,0.0006401919],"category_scores_gemma":[0.00013450618,0.000108639804,0.00022723612,0.00024611433,0.00010822899,0.00034877012,0.00022786311,0.00035177465,0.00013427564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004929614,0.00004027814,0.00023935018,0.000100832134,0.000013798,0.00011544608,0.000019882918,0.0006644696,0.99315685,0.00035976648,0.00016585231,0.005074239],"study_design_scores_gemma":[0.000008791358,0.00010600856,0.0016973184,0.0000073599267,0.000015497633,0.000056997585,0.000029951862,0.0036999867,0.99252397,0.000097165714,0.0017482052,0.000008849457],"about_ca_topic_score_codex":0.0010873527,"about_ca_topic_score_gemma":0.0051989723,"teacher_disagreement_score":0.0010873527,"about_ca_system_score_codex":0.00027832855,"about_ca_system_score_gemma":0.00024186405,"threshold_uncertainty_score":0.002162099},"labels":[],"label_agreement":null},{"id":"W4226213863","doi":"10.1016/j.renene.2022.03.153","title":"Combining game theory concepts and system dynamics for evaluating renewable electricity development in fossil-fuel-rich countries in the Middle East and North Africa","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","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":"Alterra Power (Canada)","funders":"","keywords":"Renewable energy; Fossil fuel; Middle East; Electricity; Electricity system; Natural resource economics; System dynamics; Economics; Electricity generation; Environmental science; Environmental economics; Geography; Engineering; Waste management; Ecology; Biology; Electrical engineering","score_opus":0.026333572471788115,"score_gpt":0.21366328653124453,"score_spread":0.18732971405945642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226213863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92504054,0.00035153073,0.063208014,0.0005068467,0.000032594835,0.00020644604,0.00022672709,0.000033317174,0.0103939],"genre_scores_gemma":[0.9968899,0.00008836612,0.0026155899,0.000012672035,0.0000023995053,0.00003236439,0.000026819,0.0000027507344,0.00032917803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985367,0.0011544374,0.0000331977,0.000062503976,0.00008627252,0.00012685328],"domain_scores_gemma":[0.99710375,0.0024482755,0.00015978863,0.000031224485,0.00016239288,0.0000946506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029106736,0.00076554716,0.00066953385,0.0012253427,0.0004393627,0.0021116512,0.00059007766,0.0007308289,0.0009719506],"category_scores_gemma":[0.006644109,0.00040840445,0.00056997413,0.0010098077,0.00094230793,0.0020595824,0.0010273478,0.0008038032,0.00005039141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058322585,0.000038104128,0.0048281495,0.000028301869,0.000052720872,0.00006961684,0.000044697223,0.98234797,0.0002040601,0.0100699095,0.00007263362,0.0021855999],"study_design_scores_gemma":[0.000018050818,0.0000848671,0.0020380511,0.00001303157,0.000020476507,0.000010495085,0.00027393686,0.99194545,0.00019195024,0.005215072,0.0001786043,0.0000100248],"about_ca_topic_score_codex":0.043785125,"about_ca_topic_score_gemma":0.046120368,"teacher_disagreement_score":0.043785125,"about_ca_system_score_codex":0.003761922,"about_ca_system_score_gemma":0.0017857332,"threshold_uncertainty_score":0.08706051},"labels":[],"label_agreement":null},{"id":"W4233216203","doi":"10.1016/j.renene.2013.10.004","title":"Experimental study of the phase change and energy characteristics inside a cylindrical latent heat energy storage system: Part 2 simultaneous charging and discharging","year":2013,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials Research","field":"Engineering","cited_by":88,"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; Canada Foundation for Innovation","keywords":"Thermal energy storage; Energy storage; Latent heat; Process engineering; Phase-change material; Heat exchanger; Thermal energy; Energy recovery; Heat transfer; Nuclear engineering; Energy (signal processing); Environmental science; Materials science; Mechanical engineering; Thermal; Thermodynamics; Engineering; Power (physics); Physics","score_opus":0.03279099664584726,"score_gpt":0.25202887250213873,"score_spread":0.21923787585629148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233216203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748343,0.00006175896,0.0016240694,0.00002446679,0.000016241544,0.000026218011,0.00016435214,0.0000552019,0.00054420735],"genre_scores_gemma":[0.998796,0.000033561115,0.0005603971,0.000006853924,0.000005721143,0.000014574105,0.000066812645,0.000010844074,0.0005052085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997819,0.00003116117,0.000013301253,0.000056556717,0.00006777092,0.000049273833],"domain_scores_gemma":[0.99940825,0.00027825826,0.00006430897,0.000101404534,0.00010662696,0.00004116579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027773107,0.0004025894,0.00058727426,0.00022523008,0.00076438044,0.00037090087,0.00063772954,0.0005617932,0.0035426044],"category_scores_gemma":[0.0006492058,0.00028342954,0.0003793609,0.00035978775,0.0008079758,0.00081950205,0.000356766,0.0005051223,0.0003013395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016223707,0.00016998804,0.00089591247,0.00013799345,0.000009275639,0.0001397473,0.00021760241,0.000832084,0.99196106,0.0001910793,0.00011312484,0.003709762],"study_design_scores_gemma":[0.000105827894,0.002424515,0.008035547,0.000005796841,0.000019139568,0.00015844117,0.00024605112,0.007119824,0.9808301,0.000103049795,0.00092322123,0.00002852255],"about_ca_topic_score_codex":0.00079281855,"about_ca_topic_score_gemma":0.0006961464,"teacher_disagreement_score":0.0035426044,"about_ca_system_score_codex":0.0003145264,"about_ca_system_score_gemma":0.00030961886,"threshold_uncertainty_score":0.0118511915},"labels":[],"label_agreement":null},{"id":"W4250103660","doi":"10.4324/9781315793245-112","title":"Tidal Energy Update 2009","year":2018,"lang":"en","type":"book-chapter","venue":"Renewable Energy","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":5,"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":"Tidal power; Environmental science; Computer science; Meteorology; Marine engineering; Geography; Engineering","score_opus":0.010180441250056328,"score_gpt":0.18547579944829956,"score_spread":0.17529535819824324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250103660","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":[0.0008729009,0.025373466,0.0029153444,0.005796705,0.01193936,0.00010046812,0.015678037,0.0012531065,0.9360705],"genre_scores_gemma":[0.00280965,0.020550834,0.0023874762,0.0012597773,0.0008622067,0.00005545828,0.012021729,0.00041109815,0.9596417],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967027,0.000017703578,0.000023447168,0.00003397601,0.0002304669,0.000024153976],"domain_scores_gemma":[0.9995752,0.00004171751,0.000024689314,0.000034060206,0.0002820204,0.00004235786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034247266,0.00071231805,0.00042360905,0.0018876204,0.0006865701,0.002594579,0.00089135044,0.0011239172,0.22088547],"category_scores_gemma":[0.0011328263,0.0002642192,0.00029367284,0.003118886,0.00023293788,0.0028731686,0.0011836162,0.0012478253,0.1709219],"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":[0.000017105904,0.000016735446,0.0001368439,0.00018509099,0.000002374601,0.000034130026,0.000033402226,0.00013527065,0.0002829511,0.005282297,0.8337775,0.16009624],"study_design_scores_gemma":[5.1057543e-7,0.0000014755798,0.00008565246,0.00003871432,3.871413e-7,0.000018051247,0.000008093276,0.000011347609,0.000027100405,0.00025105223,0.9995565,0.0000011307902],"about_ca_topic_score_codex":0.0103147095,"about_ca_topic_score_gemma":0.025928874,"teacher_disagreement_score":0.22088547,"about_ca_system_score_codex":0.0014758356,"about_ca_system_score_gemma":0.0016605707,"threshold_uncertainty_score":0.7389355},"labels":[],"label_agreement":null},{"id":"W4254405956","doi":"10.1016/j.renene.2014.09.024","title":"Economic droop parameter selection for autonomous microgrids including wind turbines","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microgrid Control and Optimization","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":"Microgrid; Voltage droop; Control theory (sociology); Controller (irrigation); Wind power; Distributed generation; Engineering; Control engineering; Power (physics); Selection (genetic algorithm); Computer science; Voltage; Control (management); Voltage regulator; Renewable energy","score_opus":0.006843921382021361,"score_gpt":0.19481871002496648,"score_spread":0.18797478864294512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254405956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31544346,0.0010357501,0.6619437,0.00045523507,0.0000869283,0.00020734094,0.00022572359,0.00038851483,0.020213353],"genre_scores_gemma":[0.9918196,0.00007592123,0.007144969,0.000017086764,0.000008508562,0.000040905452,0.000032248958,0.000020446632,0.0008402869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999783,0.00010171069,0.000011192846,0.000025754853,0.00004414314,0.00003430218],"domain_scores_gemma":[0.99955136,0.0002596226,0.000057750472,0.000035739886,0.000068448586,0.00002708324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007618037,0.00079164235,0.00081514847,0.0006040098,0.0003006674,0.000958473,0.0005819918,0.00050006434,0.0018640326],"category_scores_gemma":[0.0018938549,0.00053280866,0.00036471747,0.00047779034,0.00038120194,0.0008667178,0.0006623343,0.0005086438,0.00022199137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082462,0.000023810466,0.00019337761,0.000022763179,0.000023105908,0.000031779717,0.000016327966,0.98648375,0.0004973351,0.0016528039,0.00026945426,0.010703119],"study_design_scores_gemma":[0.000014836674,0.000026650905,0.00012275105,0.0000031844813,0.000005620914,0.000006901188,0.000010193188,0.9981628,0.00015456454,0.0013869851,0.000102676735,0.000002862691],"about_ca_topic_score_codex":0.0023349216,"about_ca_topic_score_gemma":0.0033985726,"teacher_disagreement_score":0.0023349216,"about_ca_system_score_codex":0.00043696185,"about_ca_system_score_gemma":0.00040688715,"threshold_uncertainty_score":0.006235838},"labels":[],"label_agreement":null},{"id":"W4281259700","doi":"10.1016/j.renene.2022.05.095","title":"Renewable energy and CO2 emissions: New evidence with the panel threshold model","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":247,"is_retracted":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":"Per capita; Renewable energy; Economics; Panel data; Energy consumption; Consumption (sociology); Per capita income; Greenhouse gas; Natural resource economics; Gross domestic product; Econometrics; Macroeconomics; Engineering; Population","score_opus":0.04673725833008193,"score_gpt":0.2033263049453668,"score_spread":0.15658904661528486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281259700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7456651,0.037096143,0.120904475,0.017643081,0.001064467,0.00014105448,0.014755978,0.0007450987,0.061984688],"genre_scores_gemma":[0.98394793,0.005459416,0.002239079,0.00087711937,0.00035864607,0.000028982879,0.0044520376,0.00006794088,0.0025687548],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744725,0.0012714902,0.00014520797,0.0005240108,0.000335091,0.00027695793],"domain_scores_gemma":[0.94622403,0.038851287,0.006867568,0.0046810443,0.0023521006,0.0010240582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055380133,0.0007632425,0.0014878262,0.0012294803,0.00076728396,0.0032920514,0.0019181827,0.001603386,0.014014356],"category_scores_gemma":[0.021900445,0.00045781885,0.0024387504,0.0040970957,0.0012216996,0.0033008517,0.0021978542,0.0033443181,0.0020232159],"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":[0.0017627173,0.00071906386,0.5049782,0.001409257,0.0060446616,0.002215764,0.0008311635,0.24087569,0.00067897,0.106203355,0.04424439,0.09003677],"study_design_scores_gemma":[0.00048043867,0.0005922044,0.2343366,0.0006838003,0.005751258,0.00055200944,0.0025458508,0.46335128,0.0017448744,0.2506552,0.038987484,0.0003189954],"about_ca_topic_score_codex":0.043217264,"about_ca_topic_score_gemma":0.02045043,"teacher_disagreement_score":0.043217264,"about_ca_system_score_codex":0.0011840893,"about_ca_system_score_gemma":0.0012284027,"threshold_uncertainty_score":0.08593142},"labels":[],"label_agreement":null},{"id":"W4281723894","doi":"10.1016/j.renene.2022.05.143","title":"Energy pellets from whole-wheat straw processed with a deep eutectic solvent: A comprehensive thermal, molecular and environmental evaluation","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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":"","keywords":"Pellets; Straw; Lignin; Pellet; Pulp and paper industry; Materials science; Torrefaction; Biomass (ecology); Cellulose; Life-cycle assessment; Cellulosic ethanol; Eutectic system; Chemical engineering; Pelletizing; Environmental science; Pyrolysis; Waste management; Chemistry; Composite material; Organic chemistry; Agronomy","score_opus":0.006220931024688404,"score_gpt":0.17537035548833665,"score_spread":0.16914942446364825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281723894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974087,0.0005607259,0.000863888,0.0000073460487,0.0000065395766,0.0000172558,0.00028219738,0.00000962091,0.00084370543],"genre_scores_gemma":[0.9957671,0.0009775199,0.0011423348,0.0000100700945,0.0000020749308,0.00001610248,0.00043004847,0.000014222971,0.0016406365],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998789,0.000012647579,0.0000074900845,0.000020626285,0.000057923753,0.000022408996],"domain_scores_gemma":[0.99995136,0.000008891082,0.00000711788,0.000004371253,0.000021266062,0.0000069537905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023586558,0.0004173273,0.0003197424,0.00042063097,0.00028699441,0.0003034773,0.00013714956,0.00025449708,0.00078844733],"category_scores_gemma":[0.00013460459,0.00014112699,0.00035050907,0.0003982596,0.00019072494,0.00027369766,0.00020437824,0.0002551465,0.00019934481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048250458,0.000069179616,0.0009146994,0.00013196297,0.000026562351,0.00010191133,0.000027667033,0.00057893567,0.9928189,0.00009497061,0.000038133017,0.0047145216],"study_design_scores_gemma":[0.000010284951,0.00057374896,0.0066197943,0.000012835963,0.000045125485,0.00006718358,0.00006165806,0.0006940935,0.99099827,0.0000211487,0.00088954956,0.0000063648154],"about_ca_topic_score_codex":0.0009573851,"about_ca_topic_score_gemma":0.0027478714,"teacher_disagreement_score":0.0009573851,"about_ca_system_score_codex":0.0001613463,"about_ca_system_score_gemma":0.00022341273,"threshold_uncertainty_score":0.0026376247},"labels":[],"label_agreement":null},{"id":"W4283795804","doi":"10.1016/j.renene.2022.06.115","title":"Evaluating the opportunity for utilising anaerobic digestion and pyrolysis of livestock manure and grass silage to decarbonise gas infrastructure: A Northern Ireland case study","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":29,"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; Invest Northern Ireland","keywords":"Biogas; Anaerobic digestion; Manure; Environmental science; Greenhouse gas; Silage; Renewable energy; Digestate; Renewable resource; Waste management; Renewable natural gas; Manure management; Biofuel; Methane; Agronomy; Engineering; Fuel gas; Chemistry; Biology; Ecology","score_opus":0.024788334876580543,"score_gpt":0.26576397169740285,"score_spread":0.2409756368208223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283795804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920689,0.00009180343,0.0014837235,0.000081294165,0.000005503732,0.00012754241,0.00023596542,0.000022597387,0.005882683],"genre_scores_gemma":[0.9922577,0.0002398955,0.004995257,0.000019208219,0.0000022690374,0.00006909115,0.00020130818,0.000012315413,0.0022029127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989183,0.0004128906,0.000045659715,0.00011626195,0.00020164829,0.0003053921],"domain_scores_gemma":[0.99847776,0.0008889943,0.00016873777,0.000102627964,0.0002541031,0.00010769041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019593895,0.000757018,0.00055416924,0.00096755364,0.000672029,0.0020821572,0.0011095924,0.0011778201,0.0013702981],"category_scores_gemma":[0.001895173,0.000467529,0.0011217416,0.0011508552,0.00092023116,0.0011355598,0.00093165325,0.0005883407,0.000232802],"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":[0.002329832,0.001377953,0.048729442,0.0007913862,0.0002996113,0.007350043,0.0009043941,0.866943,0.031321835,0.0033245157,0.0010054449,0.035622537],"study_design_scores_gemma":[0.0005825986,0.008982432,0.086260654,0.00023642807,0.0006125154,0.0018768046,0.016568795,0.76625687,0.101033606,0.0037679754,0.013488673,0.00033255038],"about_ca_topic_score_codex":0.084749244,"about_ca_topic_score_gemma":0.12549229,"teacher_disagreement_score":0.084749244,"about_ca_system_score_codex":0.007275726,"about_ca_system_score_gemma":0.0020093971,"threshold_uncertainty_score":0.16851193},"labels":[],"label_agreement":null},{"id":"W4284970896","doi":"10.1016/j.renene.2022.06.147","title":"Design and performance simulation of a distributed aerobic composting system assisted by solar PV/T heat pump","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":14,"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; National Research Council Canada; Norges Forskningsråd; Ministry of Science and Technology of the People's Republic of China","keywords":"Photovoltaic system; Compost; Environmental science; Heat pump; Solar energy; Electricity; Waste management; Environmental engineering; Engineering; Mechanical engineering; Electrical engineering","score_opus":0.018374499233349127,"score_gpt":0.208564331685212,"score_spread":0.19018983245186286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284970896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92949235,0.00010861165,0.05330338,0.00013359947,0.000047625545,0.00013216368,0.00022233612,0.00073982956,0.015820011],"genre_scores_gemma":[0.995539,0.000023410004,0.0024246552,0.0000077502145,0.000001869737,0.000038428025,0.000029328356,0.0000105383615,0.0019249229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998921,0.000023840967,0.0000046412524,0.000023551123,0.000028074008,0.000027681495],"domain_scores_gemma":[0.99983776,0.00006405036,0.00002229057,0.000011817553,0.000042840053,0.000021296459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020542838,0.0004634722,0.0006437485,0.00027577113,0.0006510709,0.00065876276,0.0006078798,0.00059752696,0.0040752785],"category_scores_gemma":[0.00023382372,0.0003018248,0.0005158419,0.00019730463,0.00033720557,0.00032076886,0.00031942187,0.00031670823,0.00033956618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002853458,0.00015176731,0.0013657522,0.000087723914,0.000024250554,0.000099066274,0.000054000677,0.9746142,0.015594917,0.00032623744,0.00027431131,0.0071223713],"study_design_scores_gemma":[0.00003323262,0.0002133713,0.00066253816,0.0000028223253,0.000016483285,0.000008952921,0.000032309323,0.99406475,0.0046197795,0.000073453346,0.00026715023,0.0000052800283],"about_ca_topic_score_codex":0.009026616,"about_ca_topic_score_gemma":0.0058268253,"teacher_disagreement_score":0.009026616,"about_ca_system_score_codex":0.00052485865,"about_ca_system_score_gemma":0.0006996235,"threshold_uncertainty_score":0.01794815},"labels":[],"label_agreement":null},{"id":"W4285403516","doi":"10.1016/j.renene.2022.07.011","title":"Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"solar cell performance optimization","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":"Natural Resources Canada","funders":"National Renewable Energy Laboratory; Sandia National Laboratories; Joint Research Centre; National Research Foundation Singapore; National Institute of Standards and Technology; University of Oregon; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; Agência Nacional de Energia Elétrica; National University of Singapore; National Research Foundation; European Regional Development Fund; U.S. Department of Energy; European Commission; Energy Market Authority of Singapore","keywords":"Irradiance; Photovoltaic system; Environmental science; Solar irradiance; Solar energy; Broadband; Solar cell; Variation (astronomy); Seasonality; Atmospheric sciences; Remote sensing; Meteorology; Optics; Materials science; Physics; Statistics; Optoelectronics; Geography; Engineering; Mathematics; Astrophysics; Electrical engineering","score_opus":0.007474180195288788,"score_gpt":0.19346225863271502,"score_spread":0.18598807843742624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285403516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97764903,0.0006110446,0.010674,0.00016598361,0.000045015335,0.000013285876,0.00168275,0.0003148704,0.008843983],"genre_scores_gemma":[0.99837315,0.000060334867,0.0006417832,0.000029805582,0.0000051853194,0.000005198322,0.0005311365,0.00006127922,0.00029200493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986463,0.00035257364,0.00006566905,0.000363637,0.00045450573,0.00011729148],"domain_scores_gemma":[0.99772614,0.001191924,0.0001823981,0.00032478044,0.00054356374,0.00003116806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012063708,0.00043653575,0.00025426474,0.000587307,0.00029544544,0.00078600773,0.0005232101,0.00068848697,0.001331164],"category_scores_gemma":[0.0038361445,0.0002070124,0.0004022752,0.0013217397,0.00026092824,0.0009395642,0.00053737574,0.00034048874,0.00036819],"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":[0.0017391461,0.00042407872,0.41367486,0.0004713516,0.0010659334,0.0007532683,0.0003344609,0.26111495,0.17733143,0.0032685255,0.0044338205,0.13538818],"study_design_scores_gemma":[0.000047071713,0.00061258493,0.58732074,0.000076612,0.00037860195,0.000905654,0.00040498347,0.12435346,0.27410194,0.0013233613,0.010383117,0.00009190013],"about_ca_topic_score_codex":0.0032709686,"about_ca_topic_score_gemma":0.0057501267,"teacher_disagreement_score":0.0032709686,"about_ca_system_score_codex":0.00067117455,"about_ca_system_score_gemma":0.00021463995,"threshold_uncertainty_score":0.0065038204},"labels":[],"label_agreement":null},{"id":"W4285500067","doi":"10.1016/j.renene.2022.07.051","title":"Piezoelectric wave energy harvester","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Innovative Energy Harvesting Technologies","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":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy harvesting; Piezoelectricity; Acoustics; Enclosure; Energy transformation; Voltage; Energy (signal processing); Electrical engineering; Power (physics); Engineering; Physics","score_opus":0.012722529305048415,"score_gpt":0.1804384060459097,"score_spread":0.16771587674086127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285500067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24590024,0.005603246,0.60864854,0.0020645317,0.0013912743,0.00033019247,0.001032289,0.0033849778,0.13164479],"genre_scores_gemma":[0.7193522,0.0030795264,0.09754613,0.0006953437,0.0003088242,0.00019344495,0.0006072871,0.00020297311,0.17801435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998858,0.000003679884,0.0000043716836,0.000028578928,0.00006599387,0.000011524488],"domain_scores_gemma":[0.9999397,0.000013735505,0.00001036931,0.00000975848,0.000018729877,0.000007728978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009799795,0.00019741584,0.00022506456,0.00025931495,0.00029683564,0.0003776005,0.00045912206,0.0003402559,0.00799425],"category_scores_gemma":[0.00013609926,0.00019373708,0.00017465271,0.00040749018,0.00017993618,0.00075831806,0.00051105744,0.00042115073,0.0026115966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006000299,0.000054778902,0.0005104458,0.00018633025,0.00001984971,0.00015342933,0.0000760801,0.00094251055,0.85869056,0.010023362,0.006528832,0.12275396],"study_design_scores_gemma":[0.000042890068,0.00025445368,0.0045886324,0.000044417287,0.00005323744,0.0011087307,0.00010476544,0.031618763,0.85518324,0.0051580216,0.10179258,0.00005024007],"about_ca_topic_score_codex":0.00011468409,"about_ca_topic_score_gemma":0.0003526174,"teacher_disagreement_score":0.00799425,"about_ca_system_score_codex":0.00020124041,"about_ca_system_score_gemma":0.00020206218,"threshold_uncertainty_score":0.026743472},"labels":[],"label_agreement":null},{"id":"W4289836703","doi":"10.1016/j.renene.2022.07.055","title":"A genetic algorithm optimization approach for smart energy management of microgrids","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":150,"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":"Microgrid; Schedule; Demand response; Reservation; Genetic algorithm; Renewable energy; Computer science; Mathematical optimization; Energy management; Minification; Greenhouse gas; Environmental economics; Electricity generation; Reliability engineering; Operations research; Electricity; Engineering; Power (physics); Energy (signal processing); Economics","score_opus":0.006304266835687067,"score_gpt":0.17309282103603882,"score_spread":0.16678855420035174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289836703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009466471,0.00039775055,0.98052716,0.00027752164,0.00010106995,0.000058647063,0.000038524566,0.00015982053,0.008972992],"genre_scores_gemma":[0.5576666,0.0008848247,0.4300334,0.00027985225,0.00017131938,0.00033219333,0.00015181095,0.00013365659,0.010346326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999782,0.000089708454,0.0000070563447,0.00002640061,0.00007152659,0.000023365052],"domain_scores_gemma":[0.9997981,0.00011181444,0.000016740534,0.00001086729,0.00005188011,0.000010742374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051908585,0.00065943925,0.00075151946,0.00053762726,0.0004440452,0.0008366283,0.00090073585,0.0012178168,0.0027124677],"category_scores_gemma":[0.0011981626,0.000339262,0.0006181508,0.0008145704,0.00045903627,0.0005599676,0.00062430993,0.0008699019,0.00036057268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008572799,0.000013286246,0.00006966762,0.000011957811,0.000015202425,0.000013992955,0.000008767582,0.9819869,0.00021574112,0.004540197,0.0003950383,0.01272065],"study_design_scores_gemma":[0.0000038545472,0.0000072665657,0.00001997078,0.0000024987187,0.0000029984592,0.000003167125,0.0000024097892,0.9981888,0.00004302997,0.0014613667,0.00026332118,0.0000012687063],"about_ca_topic_score_codex":0.008703733,"about_ca_topic_score_gemma":0.007054891,"teacher_disagreement_score":0.008703733,"about_ca_system_score_codex":0.0006153924,"about_ca_system_score_gemma":0.0011006623,"threshold_uncertainty_score":0.017306149},"labels":[],"label_agreement":null},{"id":"W4291170809","doi":"10.1016/j.renene.2022.07.142","title":"Towards sustainable net-zero districts using the extended exergy accounting concept","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Building Energy and Comfort Optimization","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":"Ontario Tech University","funders":"","keywords":"Exergy; Renewable energy; Zero-energy building; Exergy efficiency; Environmental economics; Energy accounting; Computer science; Energy (signal processing); Engineering; Process engineering; Mathematics; Economics; Statistics","score_opus":0.007264184406693966,"score_gpt":0.1964671912842025,"score_spread":0.18920300687750854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291170809","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036969077,0.00024683934,0.9349615,0.00027133714,0.000054936394,0.000032581407,0.00010163408,0.00019346575,0.027168686],"genre_scores_gemma":[0.8645733,0.00030271715,0.122952536,0.000051191542,0.000022183163,0.000058103396,0.00011582337,0.00014243094,0.0117816655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996586,0.00014243773,0.000008366086,0.000040954437,0.00010186518,0.00004777012],"domain_scores_gemma":[0.9998271,0.00004496231,0.000018527102,0.000046003326,0.00004648181,0.000016966698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388337,0.00052575395,0.00048741902,0.00042526633,0.00031800682,0.001524607,0.0010032175,0.00032268345,0.004049454],"category_scores_gemma":[0.0008907604,0.00026166165,0.00039880152,0.0006505198,0.0006646123,0.0018955087,0.0016420628,0.0009098003,0.00040403905],"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":[0.000028255781,0.00003900439,0.0005137645,0.00005815153,0.000022969838,0.000032541873,0.000058150305,0.30427462,0.0022431496,0.6376254,0.001034964,0.054069072],"study_design_scores_gemma":[0.0000076148,0.000040043706,0.0005586163,0.000019986208,0.000011798881,0.00003403265,0.00009393447,0.60660577,0.0021722182,0.38182056,0.008617116,0.000018274466],"about_ca_topic_score_codex":0.0014428942,"about_ca_topic_score_gemma":0.0031901516,"teacher_disagreement_score":0.004049454,"about_ca_system_score_codex":0.00071832543,"about_ca_system_score_gemma":0.0009921385,"threshold_uncertainty_score":0.013546765},"labels":[],"label_agreement":null},{"id":"W4293876742","doi":"10.1016/j.renene.2022.07.038","title":"Effect of substrates and voltages on the performance of bio-electrochemical anaerobic digestion","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","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 Ottawa","funders":"","keywords":"Anaerobic digestion; Electrochemistry; Voltage; Anaerobic exercise; Digestion (alchemy); Biochemical engineering; Chemistry; Materials science; Biological system; Nanotechnology; Electrode; Engineering; Electrical engineering; Biology; Chromatography; Methane; Physiology; Physical chemistry; Organic chemistry","score_opus":0.0031169440388541846,"score_gpt":0.1723521265548143,"score_spread":0.16923518251596012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293876742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968335,0.0013707512,0.00042368745,0.00008416077,0.000055676333,0.000005654165,0.00018278179,0.000021725664,0.0010219011],"genre_scores_gemma":[0.99822277,0.00058774085,0.0003430237,0.000037415073,0.000010432823,0.0000038472194,0.00018963506,0.000011808347,0.00059336284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996582,0.00008676106,0.00005482053,0.00004810548,0.000077369376,0.00007479456],"domain_scores_gemma":[0.99890125,0.0007199904,0.0000810058,0.00005819674,0.00015755466,0.000082084334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040873923,0.0004018402,0.00029269926,0.00018594631,0.00023037686,0.00092922867,0.00042731623,0.0005920068,0.0015655786],"category_scores_gemma":[0.0016438077,0.00028736185,0.00019304117,0.0004189478,0.0002569474,0.0006138447,0.00025428267,0.00046459906,0.00038922112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004026091,0.00015138442,0.0014386313,0.00020398994,0.000041130563,0.00028301138,0.000124006,0.0010473154,0.98230714,0.00011303168,0.00017259139,0.010091766],"study_design_scores_gemma":[0.000015206897,0.00041791704,0.0020417639,0.000013672582,0.00001817932,0.00007038683,0.00006992505,0.00080415606,0.9959875,0.000037033573,0.00051582523,0.000008466982],"about_ca_topic_score_codex":0.0006269308,"about_ca_topic_score_gemma":0.0006994868,"teacher_disagreement_score":0.0015655786,"about_ca_system_score_codex":0.00021842067,"about_ca_system_score_gemma":0.00018135498,"threshold_uncertainty_score":0.0052374005},"labels":[],"label_agreement":null},{"id":"W4295007941","doi":"10.1016/j.renene.2022.08.145","title":"Fractional factorial experimental design for optimizing volatile fatty acids from anaerobic fermentation of municipal sludge: Microbial community and activity investigation","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","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":"Genome British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Response surface methodology; Clostridia; Factorial experiment; Microbial population biology; Food science; Fermentation; Fractional factorial design; Pulp and paper industry; Composition (language); Chemistry; Central composite design; Microbial consortium; Wastewater; Bacteria; Environmental science; Mathematics; Biology; Microorganism; Environmental engineering; Chromatography; Engineering","score_opus":0.03370626933681808,"score_gpt":0.23985385103531282,"score_spread":0.20614758169849473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295007941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95979464,0.0004449945,0.0375494,0.000033436456,0.000076036136,0.0008122053,0.0004398687,0.00009077797,0.0007585401],"genre_scores_gemma":[0.90070343,0.00036579475,0.09323711,0.000053822445,0.000022003263,0.003532278,0.00046405307,0.000029292018,0.0015922621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977683,0.0007452839,0.00026825216,0.0005009632,0.00044576355,0.00027150798],"domain_scores_gemma":[0.9990146,0.00040848157,0.00018946358,0.000113836926,0.00019880511,0.000074826145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020000308,0.0008555142,0.0017532603,0.0006667061,0.0007708843,0.0009517483,0.0009296843,0.0007535481,0.001265595],"category_scores_gemma":[0.0017655737,0.00039461232,0.0010688946,0.0007826545,0.00052217307,0.00040406318,0.00041346074,0.0006477905,0.00013283784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015058603,0.0032426808,0.0013373347,0.0004686542,0.0001475079,0.000045123492,0.00015562047,0.010218622,0.9434738,0.0007004574,0.00007718744,0.025074324],"study_design_scores_gemma":[0.0010166486,0.03605735,0.011690884,0.000031398682,0.0004489828,0.000089599336,0.00014201552,0.032206133,0.9140489,0.0004815318,0.0036511687,0.00013536272],"about_ca_topic_score_codex":0.002236679,"about_ca_topic_score_gemma":0.0025897166,"teacher_disagreement_score":0.002236679,"about_ca_system_score_codex":0.0012670995,"about_ca_system_score_gemma":0.001720181,"threshold_uncertainty_score":0.010577321},"labels":[],"label_agreement":null},{"id":"W4295959589","doi":"10.1016/j.renene.2022.09.031","title":"Impacts of snow cover on the pattern and velocity of air flow in air convection embankments of sub-Arctic regions","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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":"University of Calgary; Université de Montréal; Université Laval","funders":"","keywords":"Snow; Airflow; Snow cover; Arctic; Environmental science; Meteorology; Convection; Air velocity; Cover (algebra); Flow (mathematics); The arctic; Atmospheric sciences; Geology; Climatology; Geography; Engineering; Mechanics; Physics; Oceanography; Mechanical engineering","score_opus":0.02198093029646283,"score_gpt":0.2122716532023292,"score_spread":0.19029072290586638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295959589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999673,0.000016360333,0.000014147634,0.000009139087,0.000001738015,4.896022e-7,0.00006050418,0.0000011638185,0.00022341493],"genre_scores_gemma":[0.9997662,0.000016666261,0.000018323553,0.000002740021,0.0000018468035,0.00000113992,0.000074268035,0.0000010765427,0.00011782919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998473,0.00003524767,0.000009352449,0.000024407713,0.000017431132,0.000066385706],"domain_scores_gemma":[0.99962306,0.00009725762,0.000073871044,0.00001941194,0.00009637531,0.00008992613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024251593,0.0001824193,0.00023230445,0.0005933399,0.00069837313,0.0007071007,0.00020834764,0.0002368569,0.0011292073],"category_scores_gemma":[0.00067992555,0.00013170874,0.00034144183,0.0004657022,0.00038193967,0.00035031585,0.0005271032,0.00020386289,0.0001718553],"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":[0.00045144526,0.00005716937,0.9862678,0.000017185144,0.00008597917,0.00021827572,0.00084548374,0.0021129595,0.005778411,0.00012692643,0.00016509001,0.0038732348],"study_design_scores_gemma":[0.000001587738,0.000017903905,0.99788874,0.0000034735854,0.000008960824,0.000022125732,0.0008106299,0.00095529354,0.00016127675,0.000016682387,0.00011114928,0.0000023184639],"about_ca_topic_score_codex":0.1117653,"about_ca_topic_score_gemma":0.1881212,"teacher_disagreement_score":0.1117653,"about_ca_system_score_codex":0.0006610655,"about_ca_system_score_gemma":0.0006828646,"threshold_uncertainty_score":0.22222948},"labels":[],"label_agreement":null},{"id":"W4296201467","doi":"10.1016/j.renene.2022.09.051","title":"A granular multicriteria group decision making for renewable energy planning problems","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","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 Alberta","funders":"Canada First Research Excellence Fund; University of Alberta","keywords":"Pairwise comparison; Ranking (information retrieval); Computer science; Analytic hierarchy process; Group decision-making; Interpretability; Multiple-criteria decision analysis; Data mining; Relevance (law); Operations research; Management science; Machine learning; Artificial intelligence; Engineering","score_opus":0.09472860775902023,"score_gpt":0.36922949193059107,"score_spread":0.2745008841715708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296201467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030060187,0.000284961,0.964311,0.0005334107,0.00008804298,0.00018578078,0.000116060124,0.00012240472,0.0042980746],"genre_scores_gemma":[0.66685873,0.00028061686,0.32961157,0.00019083248,0.00011273396,0.00045694565,0.00020038629,0.000050202798,0.0022380368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99626523,0.0018890785,0.00023400634,0.00040779894,0.0008428475,0.0003610794],"domain_scores_gemma":[0.9949976,0.0034908748,0.00037528167,0.00035718273,0.000509435,0.00026958453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00632876,0.0011042504,0.0026527352,0.001778704,0.0011285637,0.0035490843,0.0020051198,0.002387492,0.004658633],"category_scores_gemma":[0.01069739,0.0008802816,0.0019908235,0.0024107997,0.001480702,0.0025837524,0.0032988943,0.002598297,0.00035315382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018641952,0.000114937706,0.00049740507,0.00021055594,0.000113308684,0.0001777235,0.00014057518,0.92516214,0.00078461936,0.040506627,0.0008864905,0.031219222],"study_design_scores_gemma":[0.000020976371,0.00005155831,0.00008597474,0.000025752359,0.000016403888,0.0000169237,0.00002252334,0.97992617,0.00013770403,0.019395571,0.00029151747,0.000008947016],"about_ca_topic_score_codex":0.003895607,"about_ca_topic_score_gemma":0.0029131088,"teacher_disagreement_score":0.00632876,"about_ca_system_score_codex":0.0015866425,"about_ca_system_score_gemma":0.0016089535,"threshold_uncertainty_score":0.033470094},"labels":[],"label_agreement":null},{"id":"W4313241406","doi":"10.1016/j.renene.2022.12.093","title":"Cold energy storage as a solution for year-round renewable artificial ground freezing: Case study of the Giant Mine Remediation Project","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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":"McGill University","funders":"","keywords":"Thermosiphon; Renewable energy; Cold storage; Permafrost; Environmental science; Energy storage; Engineering; Refrigeration; Work (physics); Mechanical engineering; Heat exchanger; Power (physics); Electrical engineering; Geology; Thermodynamics","score_opus":0.055114473439019915,"score_gpt":0.2548909718405144,"score_spread":0.19977649840149447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313241406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855642,0.00016871394,0.0035386533,0.0005292207,0.000026090996,0.0000970747,0.00013911488,0.00010874806,0.009828201],"genre_scores_gemma":[0.996099,0.00009521398,0.001628955,0.000018618335,0.0000036342112,0.000012517091,0.000043284967,0.000013886058,0.0020848375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999696,0.00011054074,0.000009741841,0.000029693612,0.00008231653,0.00007167578],"domain_scores_gemma":[0.9994955,0.0002246286,0.000044557444,0.00006278353,0.0000862742,0.00008619229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008499171,0.0003889676,0.00025895078,0.0004435663,0.001371865,0.0008513782,0.0007795696,0.0011254809,0.0023200347],"category_scores_gemma":[0.00086792227,0.00012875482,0.00036930366,0.00058420957,0.00082301465,0.0008506719,0.0008028387,0.0006870283,0.00019340467],"study_design_candidate":"observational","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":[0.0042932546,0.0049259714,0.08034963,0.0010558857,0.00041025731,0.021564111,0.004931012,0.40265065,0.10215219,0.030574039,0.01870816,0.32838473],"study_design_scores_gemma":[0.0011113447,0.007255549,0.06686678,0.000282198,0.00043804347,0.0042529046,0.020899195,0.6593823,0.16221857,0.01950955,0.05756161,0.0002219494],"about_ca_topic_score_codex":0.010225204,"about_ca_topic_score_gemma":0.023690982,"teacher_disagreement_score":0.9897748,"about_ca_system_score_codex":0.00076450285,"about_ca_system_score_gemma":0.000874364,"threshold_uncertainty_score":0.020331383},"labels":[],"label_agreement":null},{"id":"W4313397917","doi":"10.1016/j.renene.2022.12.073","title":"A novel spiral wound module design for harvesting salinity gradient energy using pressure retarded osmosis","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Membrane Separation Technologies","field":"Environmental Science","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":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pressure-retarded osmosis; Pressure drop; Renewable energy; Osmotic power; Spiral (railway); Salinity; Power density; Pressure gradient; Reverse osmosis; Limiting; Power (physics); Mechanical engineering; Process engineering; Environmental science; Mechanics; Materials science; Engineering; Chemistry; Electrical engineering; Forward osmosis; Membrane; Physics; Geology; Thermodynamics","score_opus":0.055607604568233646,"score_gpt":0.24955596381345255,"score_spread":0.19394835924521892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313397917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5505889,0.0014446353,0.437737,0.00038194444,0.00046710044,0.0001709671,0.00044045926,0.0019164252,0.0068525122],"genre_scores_gemma":[0.8840441,0.00049420143,0.109105065,0.000110814064,0.000050513117,0.000085018,0.00018427079,0.00005348331,0.0058725923],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990726,0.000007581482,0.000006061791,0.000027324313,0.000038358714,0.000013316159],"domain_scores_gemma":[0.99989533,0.000008202646,0.000030425272,0.000011869129,0.000042949538,0.000011297576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009747288,0.0002933166,0.00028671135,0.00019871362,0.00016138321,0.00030296043,0.0007575015,0.00038850863,0.0009850492],"category_scores_gemma":[0.00011092901,0.0001772533,0.0002871162,0.00021548048,0.00010409078,0.0004568299,0.00020931414,0.00021310363,0.00047236992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007338236,0.000026848307,0.00024246785,0.00011000617,0.000010432248,0.000059519072,0.000017612823,0.0007077046,0.98019916,0.00050735596,0.00037346085,0.017672075],"study_design_scores_gemma":[0.000018646175,0.0006493799,0.0014071718,0.000010400284,0.000034596043,0.00049724436,0.00002268414,0.024280412,0.96296746,0.00020735941,0.009877717,0.000026952754],"about_ca_topic_score_codex":0.00013997414,"about_ca_topic_score_gemma":0.00029000264,"teacher_disagreement_score":0.0009850492,"about_ca_system_score_codex":0.00020383258,"about_ca_system_score_gemma":0.00021541536,"threshold_uncertainty_score":0.003295362},"labels":[],"label_agreement":null},{"id":"W4313578038","doi":"10.1016/j.renene.2023.01.003","title":"Multi-objective deep reinforcement learning for optimal design of wind turbine blade","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Mathematical optimization; Computer science; Pareto principle; Artificial intelligence; Stochastic optimization; Multi-objective optimization; Computation; Artificial neural network; Turbine; Turbine blade; Mathematics; Algorithm; Engineering","score_opus":0.022309341782385514,"score_gpt":0.23896499180706918,"score_spread":0.21665565002468368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313578038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052684374,0.00072718743,0.94120824,0.00042914826,0.00009495277,0.00007480372,0.00008396912,0.000454707,0.0042426484],"genre_scores_gemma":[0.9189722,0.00016015451,0.07763082,0.00017711487,0.000047948128,0.00015067827,0.00012852943,0.00008498016,0.0026475228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997472,0.00009395113,0.000012096288,0.000046979352,0.000051658666,0.000048251564],"domain_scores_gemma":[0.99828464,0.0012100389,0.000115351766,0.000048510537,0.00025579805,0.00008570645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244461,0.0011558551,0.001326206,0.00048991735,0.00035692778,0.00070083403,0.0009201904,0.0017847228,0.0030571613],"category_scores_gemma":[0.003606275,0.0008526987,0.0005948027,0.00030394085,0.0007088103,0.000688259,0.0009789342,0.0016570891,0.0004083252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002916887,0.000025250101,0.00015849233,0.000028659633,0.000009709832,0.00001886541,0.00001243543,0.99053615,0.0002843236,0.0007984036,0.00031982912,0.0077787815],"study_design_scores_gemma":[0.0000033243828,0.000007633108,0.000014118005,0.0000020704967,0.0000010028666,0.0000011087327,0.0000012122102,0.9996842,0.000038466525,0.00022083434,0.00002542955,6.8495564e-7],"about_ca_topic_score_codex":0.0086594,"about_ca_topic_score_gemma":0.009665176,"teacher_disagreement_score":0.0086594,"about_ca_system_score_codex":0.00092291634,"about_ca_system_score_gemma":0.0014332803,"threshold_uncertainty_score":0.017217994},"labels":[],"label_agreement":null},{"id":"W4316494146","doi":"10.1016/j.renene.2023.01.036","title":"Optimal sizing of a reliability-constrained, stand-alone hybrid renewable energy system using robust satisficing","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":30,"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":"Mathematical optimization; Satisficing; Sizing; Reliability (semiconductor); Computer science; Photovoltaic system; Renewable energy; Robust optimization; Metric (unit); Optimization problem; Reliability engineering; Diesel generator; Engineering; Power (physics); Mathematics; Automotive engineering","score_opus":0.02100543925735277,"score_gpt":0.2275986591515128,"score_spread":0.20659321989416005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316494146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2500859,0.000570331,0.71414083,0.00047605316,0.00014344644,0.00032808204,0.00055377337,0.0013918013,0.032309797],"genre_scores_gemma":[0.96506983,0.000057659592,0.032070145,0.00005691951,0.000016038646,0.0000735769,0.00012209133,0.000053995354,0.0024797642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973387,0.000063807456,0.000016159445,0.000060089682,0.00007117082,0.000054871132],"domain_scores_gemma":[0.9995964,0.00019948244,0.000067341665,0.000025640044,0.00008313826,0.000027992732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005010759,0.0010749788,0.0012271905,0.00045168184,0.00041383674,0.0013720447,0.0008244896,0.0007087303,0.0038307346],"category_scores_gemma":[0.00082219945,0.00055756565,0.00056966866,0.0005002655,0.00043979386,0.00067945494,0.0005121244,0.00066309416,0.00038706872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006533383,0.000029304963,0.00012739879,0.000053630218,0.00002294214,0.00007168944,0.000019438905,0.9855129,0.0034440677,0.001282945,0.00035532788,0.009015083],"study_design_scores_gemma":[0.000012036108,0.000044305893,0.00006407444,0.000003646024,0.000009429086,0.000009143526,0.000008734146,0.9981699,0.0007426293,0.0008162774,0.00011696917,0.0000029108946],"about_ca_topic_score_codex":0.0066151926,"about_ca_topic_score_gemma":0.009551714,"teacher_disagreement_score":0.0066151926,"about_ca_system_score_codex":0.0007811423,"about_ca_system_score_gemma":0.0015975519,"threshold_uncertainty_score":0.013153374},"labels":[],"label_agreement":null},{"id":"W4317373184","doi":"10.1016/j.renene.2023.01.068","title":"Nexus between renewable energy certificates and electricity prices in India: Evidence from wavelet coherence analysis","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":13,"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":"Electricity market; Bivariate analysis; Economics; Electricity; Renewable energy; Nexus (standard); Scale (ratio); Econometrics; Monetary economics; Geography; Engineering","score_opus":0.023915787183922392,"score_gpt":0.2263638503169187,"score_spread":0.2024480631329963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317373184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99501157,0.0001764875,0.00032879732,0.0005325277,0.000011672061,0.0000025241854,0.00046405257,0.000010840397,0.0034616238],"genre_scores_gemma":[0.9994324,0.000086175496,0.000043547476,0.000017722792,0.000008850429,7.403021e-7,0.00022083198,0.000002486691,0.0001873058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961984,0.000093496485,0.000035776306,0.00007384326,0.000087597335,0.00008947159],"domain_scores_gemma":[0.9874206,0.006952955,0.0033209373,0.0007195855,0.001179805,0.00040610819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005217233,0.00013584411,0.0002210816,0.0009352286,0.00032692787,0.0015651807,0.000510078,0.0003919248,0.0030083964],"category_scores_gemma":[0.007158151,0.00021288898,0.00027342068,0.0028751886,0.0007851966,0.0009745312,0.0008944222,0.0009271243,0.00051215023],"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":[0.0003592371,0.00011111117,0.9763985,0.0000494615,0.00021897636,0.00050868874,0.0009768845,0.0022332573,0.00069058134,0.0040807654,0.0013888163,0.012983624],"study_design_scores_gemma":[0.000008809524,0.000028988057,0.9938601,0.000011895235,0.000075044954,0.000091598486,0.0014435699,0.0025036454,0.00019318434,0.0010827514,0.0006885806,0.000011838242],"about_ca_topic_score_codex":0.025714837,"about_ca_topic_score_gemma":0.024786424,"teacher_disagreement_score":0.025714837,"about_ca_system_score_codex":0.00038834586,"about_ca_system_score_gemma":0.00048435203,"threshold_uncertainty_score":0.051130354},"labels":[],"label_agreement":null},{"id":"W4318766781","doi":"10.1016/j.renene.2023.01.108","title":"Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","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 Prince Edward Island","funders":"","keywords":"Random forest; Radio frequency; Autocorrelation; Extreme learning machine; Term (time); Statistics; Mathematics; Linear regression; Computer science; Artificial intelligence; Artificial neural network; Physics","score_opus":0.026881355896111413,"score_gpt":0.21343348370222529,"score_spread":0.18655212780611388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318766781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116102286,0.0013173027,0.8779478,0.00019501799,0.00021371628,0.000032635686,0.0007254108,0.0021663005,0.001299564],"genre_scores_gemma":[0.84279734,0.0005233967,0.1512824,0.00008884088,0.00020024843,0.000087910346,0.002755302,0.00022075653,0.002043861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997106,0.0000939347,0.000015387537,0.000058468402,0.00006434745,0.00005720185],"domain_scores_gemma":[0.99930394,0.00033892327,0.000049863294,0.00006750519,0.00020749998,0.000032202115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010393442,0.0006766501,0.0012336986,0.00085582683,0.00035851492,0.0005558814,0.00074150483,0.00062937697,0.0012563361],"category_scores_gemma":[0.0018922691,0.00035931333,0.0010986709,0.001030088,0.0001385464,0.0008534119,0.00049185427,0.0010818847,0.0005528374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000259664,0.00014622952,0.002658692,0.000060898612,0.00020698055,0.000055839864,0.00002515033,0.75472134,0.0047255554,0.0013388909,0.004620731,0.23117994],"study_design_scores_gemma":[0.0000014252344,0.0000035184007,0.00016061106,9.338148e-7,0.0000048119878,0.0000015210309,0.0000011183134,0.99947923,0.00012565218,0.00016629724,0.000053096406,0.0000017863424],"about_ca_topic_score_codex":0.011190245,"about_ca_topic_score_gemma":0.012084829,"teacher_disagreement_score":0.011190245,"about_ca_system_score_codex":0.00023924552,"about_ca_system_score_gemma":0.00075880054,"threshold_uncertainty_score":0.022250175},"labels":[],"label_agreement":null},{"id":"W4321349151","doi":"10.1016/j.renene.2023.02.057","title":"Marine shell-based biorefinery: A sustainable solution for aquaculture waste valorization","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Henan Agricultural University","keywords":"Biorefinery; Waste management; Aquaculture; Environmental science; Shell (structure); Sustainable development; Engineering; Fishery; Biofuel; Fish <Actinopterygii>; Ecology; Civil engineering; Biology","score_opus":0.008583569051309048,"score_gpt":0.19769346894471748,"score_spread":0.18910989989340843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321349151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94570214,0.008497939,0.026991095,0.00049072853,0.00019106876,0.00003610835,0.00021404073,0.0002626176,0.017614236],"genre_scores_gemma":[0.9701359,0.0043693827,0.009523371,0.00009130894,0.00001727831,0.000011486313,0.00012909503,0.000032434076,0.01568982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992883,0.0000069071043,0.0000047483472,0.00001595414,0.000028751787,0.000014805981],"domain_scores_gemma":[0.9999759,0.0000023965142,0.0000065359327,0.0000025118272,0.0000067042706,0.000005989695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114109214,0.00038795904,0.00017459228,0.00029167996,0.00020585662,0.0005000605,0.00022810375,0.00030421567,0.001371411],"category_scores_gemma":[0.000075599484,0.00011865879,0.00027891985,0.00021588664,0.00019340191,0.00045218502,0.0005278257,0.00038941915,0.0004708444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004891071,0.00002504959,0.0004131778,0.00013790658,0.000008593536,0.00010305151,0.000030120056,0.0004263766,0.9794536,0.00095643004,0.00016321492,0.018233432],"study_design_scores_gemma":[0.0000040886525,0.00014591796,0.0014758366,0.000032205073,0.0000146760685,0.0002433104,0.000065787004,0.0020292443,0.98493236,0.00020798245,0.010841439,0.00000709026],"about_ca_topic_score_codex":0.0008174544,"about_ca_topic_score_gemma":0.0021700934,"teacher_disagreement_score":0.001371411,"about_ca_system_score_codex":0.00028892,"about_ca_system_score_gemma":0.00030046792,"threshold_uncertainty_score":0.004587829},"labels":[],"label_agreement":null},{"id":"W4321439145","doi":"10.1016/j.renene.2023.02.089","title":"The performance optimization of DX-PVT heat pump system for residential heating","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":52,"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 Research Council Canada; Norges Forskningsråd; Ministry of Science and Technology of the People's Republic of China","keywords":"Heat pump; Environmental science; Process engineering; Nuclear engineering; System optimization; Automotive engineering; Engineering; Mechanical engineering; Heat exchanger; Mathematics; Mathematical optimization","score_opus":0.014862581973215586,"score_gpt":0.22258289310211035,"score_spread":0.20772031112889477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321439145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9444918,0.0004994726,0.033884034,0.00018120503,0.000041485582,0.000045159213,0.0002443562,0.00037471094,0.020237828],"genre_scores_gemma":[0.9974577,0.000053148644,0.00077484216,0.0000051179345,0.0000028794782,0.00000806726,0.000036583053,0.000012444442,0.0016492837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990654,0.000016162696,0.0000040981536,0.000019032801,0.000031697673,0.000022450815],"domain_scores_gemma":[0.99995697,0.000013085418,0.0000061941196,0.0000036238127,0.000017006423,0.0000031010422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013559601,0.00028004913,0.0004124374,0.00014747508,0.00045724033,0.00062815956,0.00032852477,0.00027060093,0.0034189783],"category_scores_gemma":[0.00013753012,0.00014845775,0.0003581516,0.00023120051,0.00011941465,0.00035503492,0.00019503523,0.00019998752,0.00046161198],"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":[0.0015124059,0.00023786486,0.006439447,0.0006641244,0.00010806158,0.00027318936,0.0001569304,0.56898427,0.3406163,0.0029006265,0.0033457212,0.07476108],"study_design_scores_gemma":[0.00004096011,0.00083372043,0.010639768,0.000011813725,0.00006600997,0.00010068093,0.00011537987,0.884133,0.101246364,0.0003690413,0.0024232112,0.000019971867],"about_ca_topic_score_codex":0.0023716795,"about_ca_topic_score_gemma":0.003027301,"teacher_disagreement_score":0.0034189783,"about_ca_system_score_codex":0.00038775933,"about_ca_system_score_gemma":0.00033098884,"threshold_uncertainty_score":0.0114376545},"labels":[],"label_agreement":null},{"id":"W4323565247","doi":"10.1016/j.renene.2023.03.040","title":"Modeling of solar-assisted ground-coupled heat pumps with or without batteries in remote high north communities","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Cégep de Jonquière; Institut National de la Recherche Scientifique; Université Laval","funders":"","keywords":"Renewable energy; Environmental science; Context (archaeology); Fossil fuel; Electricity; Battery (electricity); Photovoltaic system; Gas compressor; Solar energy; Automotive engineering; Meteorology; Engineering; Power (physics); Waste management; Electrical engineering; Mechanical engineering; Geology; Thermodynamics","score_opus":0.028199129091678467,"score_gpt":0.23253312042840665,"score_spread":0.2043339913367282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323565247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574476,0.00021699478,0.014482534,0.00047430268,0.000055500015,0.00006342563,0.0005143156,0.00020083901,0.026544502],"genre_scores_gemma":[0.99506986,0.000050533683,0.0007868174,0.000020748319,0.000006823199,0.00002296875,0.00007343442,0.000021163072,0.0039476226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982184,0.00004400086,0.0000054805323,0.000043000724,0.00002462861,0.00006103196],"domain_scores_gemma":[0.9996631,0.00015930449,0.000030280726,0.000017544187,0.00007194866,0.000057821962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028597834,0.00056083186,0.0009422559,0.00035586345,0.0011094686,0.0012715674,0.001382168,0.001931414,0.0056596776],"category_scores_gemma":[0.00092462345,0.0005710046,0.00087593996,0.0004972104,0.000993672,0.0011766998,0.00092061836,0.00085957116,0.00036800417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008466984,0.000064179556,0.0011404438,0.000021699892,0.000013664197,0.000089667265,0.00003082518,0.9958353,0.0006941036,0.0007274306,0.00024263948,0.0010552517],"study_design_scores_gemma":[0.000020818126,0.000025610227,0.0004909083,0.0000022517545,0.000005486444,0.0000052668306,0.00005213024,0.9989435,0.0001660213,0.0001672266,0.00011592377,0.000004778662],"about_ca_topic_score_codex":0.12011766,"about_ca_topic_score_gemma":0.06857615,"teacher_disagreement_score":0.12011766,"about_ca_system_score_codex":0.0013291732,"about_ca_system_score_gemma":0.0015822176,"threshold_uncertainty_score":0.238837},"labels":[],"label_agreement":null},{"id":"W4323659817","doi":"10.1016/j.renene.2023.03.011","title":"Modeling and dynamic safety control of compressed air energy storage system","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","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 Alberta","funders":"SINOPEC Petroleum Exploration and Production Research Institute; Science Foundation of China University of Petroleum, Beijing; China National Petroleum Corporation; China University of Petroleum, Beijing","keywords":"Controller (irrigation); Process (computing); Model predictive control; Control engineering; Control theory (sociology); Energy (signal processing); Work (physics); State space; System dynamics; Computer science; System model; State-space representation; Engineering; Energy storage; Reliability engineering; Control (management); Mechanical engineering; Systems engineering; Algorithm; Mathematics; Power (physics)","score_opus":0.004382273796093968,"score_gpt":0.18427829743189017,"score_spread":0.1798960236357962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323659817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37454435,0.0011786943,0.54956704,0.0007707566,0.00026593384,0.00021391934,0.00046928946,0.0009854418,0.0720046],"genre_scores_gemma":[0.9960736,0.00007974083,0.0009210833,0.000012371124,0.000009141733,0.000027098387,0.000028054896,0.000010963115,0.0028380824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998272,0.000032380976,0.000007444442,0.000030760133,0.00006628814,0.000035968686],"domain_scores_gemma":[0.9997905,0.00007940416,0.000034927652,0.000011224827,0.00007258848,0.000011339435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028396945,0.0005643694,0.0006796758,0.00038247692,0.0005661284,0.00090978603,0.0007054869,0.0005344139,0.0026311183],"category_scores_gemma":[0.00042089308,0.0003027251,0.0004788561,0.00023224863,0.0005265112,0.0005219081,0.00045356384,0.00038746008,0.00019556166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005648913,0.00001894547,0.0002316885,0.000031754447,0.000011026559,0.00004357472,0.000026579497,0.99106556,0.0028155602,0.0023980935,0.00023887967,0.0030618105],"study_design_scores_gemma":[0.0000028117295,0.000010511551,0.000078411125,9.5270235e-7,0.000002350839,0.0000022700265,0.0000027352958,0.9993926,0.00023228284,0.00018111766,0.00009266655,0.0000012411583],"about_ca_topic_score_codex":0.026844213,"about_ca_topic_score_gemma":0.01303931,"teacher_disagreement_score":0.026844213,"about_ca_system_score_codex":0.0008729118,"about_ca_system_score_gemma":0.0009413312,"threshold_uncertainty_score":0.0533759},"labels":[],"label_agreement":null},{"id":"W4362580859","doi":"10.1016/j.renene.2023.03.033","title":"Corrigendum to “CO2 behavior amidst the COVID-19 pandemic in the United Kingdom: The role of renewable and non-renewable energy development” [Renew. Energy 189 (2022) 492–501]","year":2023,"lang":"en","type":"erratum","venue":"Renewable Energy","topic":"COVID-19 impact on air quality","field":"Environmental Science","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 Alberta","funders":"University of Alberta","keywords":"Renewable energy; Coronavirus disease 2019 (COVID-19); Pandemic; Energy (signal processing); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Kingdom; Natural resource economics; 2019-20 coronavirus outbreak; Environmental economics; Business; Environmental science; Economics; Engineering; Virology; Medicine; Electrical engineering; Biology; Physics","score_opus":0.05807284682787473,"score_gpt":0.30464990895142074,"score_spread":0.24657706212354602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362580859","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":[0.0001028301,0.002215332,0.0002690699,0.1425769,0.83475304,0.000060849743,0.0026636461,0.00035551918,0.01700275],"genre_scores_gemma":[0.0034599437,0.006744646,0.0011789785,0.28706875,0.12580277,0.00028746255,0.002990737,0.00063222466,0.57183456],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995895,0.00038285655,0.000599453,0.00058481406,0.00211156,0.00042636323],"domain_scores_gemma":[0.9830467,0.003332477,0.0006704425,0.0006058324,0.0116139585,0.00073061377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030444784,0.0021976805,0.0024490254,0.0026316263,0.0045697824,0.0048617963,0.003507106,0.013405513,0.0682336],"category_scores_gemma":[0.025852244,0.0012198251,0.0023705617,0.002121941,0.0020952388,0.0025059648,0.0024074742,0.013020747,0.065420456],"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":[0.000007242188,0.000003597075,0.000024202453,0.000028530705,0.0000020440705,0.000039712144,0.000007890532,0.00001503213,0.000014994761,0.00019315716,0.99846715,0.0011965109],"study_design_scores_gemma":[0.000017818802,0.000013030585,0.0009372926,0.00018776242,0.000015704956,0.000050273593,0.000078700956,0.00012855197,0.0001313263,0.0007787507,0.99762315,0.000037611764],"about_ca_topic_score_codex":0.17719153,"about_ca_topic_score_gemma":0.26884425,"teacher_disagreement_score":0.17719153,"about_ca_system_score_codex":0.0073809233,"about_ca_system_score_gemma":0.00894379,"threshold_uncertainty_score":0.3523203},"labels":[],"label_agreement":null},{"id":"W4362580991","doi":"10.1016/j.renene.2023.02.120","title":"Corrigendum to “Examining the agriculture induced Environmental Kuznets Curve hypothesis in BRICS economies: The role of renewable energy as a moderator” [Renew. Energy 198 (2022) 343–351]","year":2023,"lang":"en","type":"erratum","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"Kuznets curve; Moderation; Renewable energy; Agriculture; Economics; Energy (signal processing); Natural resource economics; Econometrics; Ecology; Computer science; Biology; Physics","score_opus":0.022970852526534538,"score_gpt":0.18391127940898927,"score_spread":0.16094042688245475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362580991","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":[0.00032659236,0.0031105953,0.0006961993,0.24533857,0.72924936,0.00010663202,0.007321775,0.0004987113,0.013351586],"genre_scores_gemma":[0.008989637,0.008816621,0.0028420524,0.3776354,0.16241214,0.0006784459,0.0067184344,0.0009796239,0.43092772],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99537563,0.0007637054,0.00071915623,0.0007341528,0.0019677475,0.0004396437],"domain_scores_gemma":[0.96869016,0.00865634,0.0012227447,0.0011357618,0.019538226,0.0007566751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037482188,0.00211407,0.003459821,0.0046704705,0.0043080924,0.0053837197,0.004109744,0.010415649,0.07486729],"category_scores_gemma":[0.046185955,0.0013210488,0.0030770851,0.004499398,0.0021642332,0.003581623,0.0028160883,0.0104992315,0.04406087],"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":[0.000006679081,0.0000053572144,0.000051009985,0.00002775611,0.0000043385908,0.000037729413,0.000008288804,0.000026321824,0.00000933848,0.00036724508,0.99865294,0.00080303795],"study_design_scores_gemma":[0.000081257705,0.00003085377,0.0069241314,0.0004371985,0.0000979344,0.00013359837,0.00023571971,0.0007738631,0.0003069276,0.006015007,0.98480636,0.00015708788],"about_ca_topic_score_codex":0.18520747,"about_ca_topic_score_gemma":0.24177584,"teacher_disagreement_score":0.18520747,"about_ca_system_score_codex":0.0079643,"about_ca_system_score_gemma":0.006735684,"threshold_uncertainty_score":0.3682589},"labels":[],"label_agreement":null},{"id":"W4362704818","doi":"10.1016/j.renene.2023.04.012","title":"Development and validation of a concise and anisotropic irradiance model for bifacial photovoltaic modules","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"solar cell performance optimization","field":"Engineering","cited_by":28,"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":"Environment and Conservation Fund; Edmonton Community Foundation","keywords":"Irradiance; Solar irradiance; Photovoltaic system; Optics; Anisotropy; Environmental science; Remote sensing; Meteorology; Geology; Engineering; Physics; Electrical engineering","score_opus":0.017354614343561264,"score_gpt":0.20662095485951143,"score_spread":0.18926634051595018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362704818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07104272,0.00037401915,0.9054114,0.00019504952,0.00007607055,0.00013976832,0.0008701942,0.0013524732,0.020538362],"genre_scores_gemma":[0.8913926,0.00048410925,0.09674627,0.000090083995,0.000035231104,0.00033249662,0.0009714844,0.00060863554,0.009339107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980074,0.000032052358,0.000011586893,0.00002650709,0.000105107465,0.000024058798],"domain_scores_gemma":[0.9997557,0.000065799584,0.000027329968,0.000042823467,0.0000970388,0.0000113812275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033330766,0.00060273486,0.0008279072,0.00028234103,0.00043317227,0.0008502622,0.001220021,0.0010151458,0.0017674967],"category_scores_gemma":[0.000755199,0.00038214578,0.00064631074,0.00044041165,0.000249094,0.000782417,0.00049095217,0.00077473297,0.0006466675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000979063,0.000025958441,0.0002981583,0.00003819368,0.0000114423465,0.00003965818,0.000023314935,0.9819888,0.006176373,0.0030272137,0.00042382054,0.00793738],"study_design_scores_gemma":[0.000003233046,0.000007541154,0.00011437275,0.0000029120413,0.0000032448393,0.000008706236,0.0000049807777,0.99701023,0.0015324336,0.00040862832,0.0009001199,0.0000035210644],"about_ca_topic_score_codex":0.009351971,"about_ca_topic_score_gemma":0.009276077,"teacher_disagreement_score":0.009351971,"about_ca_system_score_codex":0.0006727044,"about_ca_system_score_gemma":0.0010531659,"threshold_uncertainty_score":0.01859504},"labels":[],"label_agreement":null},{"id":"W4366085189","doi":"10.1016/j.renene.2023.04.052","title":"Evaluation of flexibility provided by cascading hydroelectric assets for variable renewable energy integration","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Power System Optimization","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 Victoria","funders":"Mitacs","keywords":"Flexibility (engineering); Renewable energy; Hydroelectricity; Environmental economics; Environmental resource management; Environmental science; Engineering; Business; Computer science; Economics; Electrical engineering","score_opus":0.019532308152459064,"score_gpt":0.2518749483247512,"score_spread":0.23234264017229214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366085189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97425985,0.00017953692,0.018980026,0.000076449076,0.000021369704,0.00003259688,0.00010168816,0.000090150534,0.006258421],"genre_scores_gemma":[0.9987496,0.000016438249,0.00096226705,0.0000020225975,0.0000013442371,0.000004376004,0.000016271952,0.0000041982885,0.0002435188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998016,0.00007412072,0.000008183407,0.000023863373,0.000049459075,0.00004279049],"domain_scores_gemma":[0.9991905,0.000534161,0.000052660762,0.00005011128,0.00010842488,0.000064165404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073324156,0.0008218638,0.00050132524,0.00048001803,0.00026285084,0.00068232045,0.0004499661,0.0005372715,0.0022698876],"category_scores_gemma":[0.0017295502,0.00022625417,0.000492451,0.00048093978,0.00033177232,0.0006249823,0.00044994723,0.0004968184,0.00010593901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029791534,0.00007020226,0.0017252915,0.00004336414,0.000035047826,0.00011082866,0.000013222553,0.98806584,0.002409544,0.000731748,0.00008532797,0.006411651],"study_design_scores_gemma":[0.000021017604,0.0003283852,0.0021008356,0.0000073761134,0.000045133358,0.000022631777,0.000038364724,0.9947126,0.002176077,0.00042508118,0.000115688905,0.0000068769205],"about_ca_topic_score_codex":0.003940444,"about_ca_topic_score_gemma":0.0043796143,"teacher_disagreement_score":0.003940444,"about_ca_system_score_codex":0.00053287955,"about_ca_system_score_gemma":0.00038705047,"threshold_uncertainty_score":0.007834971},"labels":[],"label_agreement":null},{"id":"W4366087130","doi":"10.1016/j.renene.2023.04.048","title":"Prioritization of heat transfer fluids in parabolic trough solar systems using CFD-assisted AHP-VIKOR approach","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":29,"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":"Parabolic trough; Process engineering; Analytic hierarchy process; Working fluid; Multiple-criteria decision analysis; Computational fluid dynamics; TOPSIS; Concentrated solar power; Environmental science; Mechanical engineering; Computer science; Solar energy; Engineering; Operations research; Aerospace engineering","score_opus":0.03514055664482046,"score_gpt":0.2439360377574062,"score_spread":0.20879548111258572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366087130","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2956469,0.0007119342,0.68520564,0.00045518007,0.00022240498,0.00047150246,0.00030481163,0.0007813417,0.016200285],"genre_scores_gemma":[0.9342569,0.00018273463,0.063135155,0.000048624064,0.000032286804,0.00015149955,0.00016276192,0.00007123791,0.0019587728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995797,0.00012553137,0.00002805234,0.000049867354,0.000119543794,0.00009734035],"domain_scores_gemma":[0.99905413,0.0004457971,0.000074551666,0.00004205831,0.00032035282,0.00006307639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000997541,0.0007627789,0.0012732368,0.0012619644,0.0011408487,0.0017551332,0.0009690482,0.0010053081,0.0023516975],"category_scores_gemma":[0.0016834385,0.0006138833,0.0010304276,0.0006204371,0.0004173273,0.001045566,0.0009016946,0.00092977466,0.00039500862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024155785,0.00023401741,0.0023508617,0.00023100442,0.00003691748,0.00020364326,0.000113837115,0.9372189,0.011592548,0.0026473552,0.0006529835,0.04447626],"study_design_scores_gemma":[0.000007385551,0.000025911795,0.00022396566,0.00000768784,0.000006269877,0.000009145353,0.000048149966,0.9971523,0.0017424144,0.0005600733,0.0002108267,0.000005766807],"about_ca_topic_score_codex":0.011372184,"about_ca_topic_score_gemma":0.0076876804,"teacher_disagreement_score":0.011372184,"about_ca_system_score_codex":0.00072027976,"about_ca_system_score_gemma":0.002276309,"threshold_uncertainty_score":0.022611976},"labels":[],"label_agreement":null},{"id":"W4366124142","doi":"10.1016/j.renene.2023.04.067","title":"Impacts of seasonal flow variation on riverine hydrokinetic energy resources and optimal turbine location – Case study on the Rivière Rouge, Québec, Canada","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Turbine; Software deployment; Environmental science; Calibration; Marine engineering; Acoustic Doppler current profiler; Flow (mathematics); Meteorology; Current (fluid); Engineering; Geology; Geography; Oceanography; Aerospace engineering; Statistics; Mathematics","score_opus":0.007702491725191236,"score_gpt":0.19635487405633958,"score_spread":0.18865238233114834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366124142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909304,0.00010269737,0.00047278916,0.00021399705,0.000011436584,0.00003660119,0.0010026178,0.000055390665,0.0071740625],"genre_scores_gemma":[0.99623185,0.000052526768,0.00032743305,0.000027116732,0.0000019108365,0.000009085827,0.00029180685,0.000014246801,0.0030440732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99947554,0.00010730795,0.000018454082,0.00007515811,0.00011121778,0.00021239884],"domain_scores_gemma":[0.9991493,0.00026312927,0.00006316561,0.000032593598,0.00035433623,0.00013742821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005648397,0.00039166113,0.0005164288,0.0007045624,0.001841389,0.002284212,0.0012890232,0.0009528084,0.0028337059],"category_scores_gemma":[0.0014779253,0.00034771455,0.00060689886,0.0016235366,0.0011360039,0.00050115085,0.00051589985,0.0005077271,0.00020151249],"study_design_candidate":"observational","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":[0.000787289,0.0006219105,0.21052082,0.00013538108,0.00030951912,0.0032863722,0.00048180617,0.7475471,0.006871574,0.0034858962,0.007752108,0.018200165],"study_design_scores_gemma":[0.00024892917,0.00028077525,0.4856705,0.000052544667,0.0001859755,0.00020001791,0.005150758,0.49929675,0.0018845604,0.0005807787,0.006295161,0.00015328244],"about_ca_topic_score_codex":0.9835881,"about_ca_topic_score_gemma":0.9918182,"teacher_disagreement_score":0.024697453,"about_ca_system_score_codex":0.024697453,"about_ca_system_score_gemma":0.011417338,"threshold_uncertainty_score":0.17919338},"labels":[],"label_agreement":null},{"id":"W4366490185","doi":"10.1016/j.renene.2023.04.038","title":"Multi-objective optimization for comparative energy and economic analyses of a novel evacuated solar collector prototype (ICSSWH) under different weather conditions","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Concordia University","funders":"","keywords":"Solar thermal collector; Range (aeronautics); Solar energy; Energy (signal processing); Set (abstract data type); Building energy simulation; Computer science; Simulation; Energy performance; Mathematical optimization; Engineering; Mathematics; Aerospace engineering","score_opus":0.0859554061600868,"score_gpt":0.32003063252877917,"score_spread":0.23407522636869238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366490185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8304118,0.0011638929,0.136128,0.0004446618,0.00010657694,0.00028134073,0.001146286,0.00029611116,0.030021396],"genre_scores_gemma":[0.979844,0.00014553838,0.016636768,0.000023083781,0.0000070709393,0.00017532893,0.00021764466,0.000028201528,0.0029223678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980134,0.00008826295,0.000006680107,0.0000212424,0.00004810842,0.000034354896],"domain_scores_gemma":[0.99947673,0.00037995394,0.000037434576,0.000022670014,0.000067565175,0.000015725043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010084041,0.00082378165,0.00083783484,0.00082350266,0.00046541996,0.00081388094,0.00060098554,0.00085843465,0.0035284762],"category_scores_gemma":[0.00095379166,0.00038468535,0.001022853,0.00072310545,0.0002724303,0.0005454217,0.0003891855,0.00064017816,0.00017544822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009229919,0.00006597452,0.00029619175,0.000092998795,0.000035160276,0.00003940905,0.00001032914,0.99216473,0.001297061,0.00058913307,0.00026022008,0.005056508],"study_design_scores_gemma":[0.000013906375,0.00012853663,0.00083338615,0.0000062372064,0.000019680923,0.000008155669,0.000025348529,0.99753076,0.0010204815,0.00018451131,0.00022324528,0.0000058203227],"about_ca_topic_score_codex":0.007184367,"about_ca_topic_score_gemma":0.008543026,"teacher_disagreement_score":0.007184367,"about_ca_system_score_codex":0.00090864423,"about_ca_system_score_gemma":0.0005817622,"threshold_uncertainty_score":0.014285088},"labels":[],"label_agreement":null},{"id":"W4366977557","doi":"10.1016/j.renene.2023.04.113","title":"Design of optimal operating rule curves for hydropower multi-reservoir systems by an influential optimization method","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Water resources management and optimization","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Particle swarm optimization; Hydropower; Differential evolution; Benchmark (surveying); Mathematical optimization; Renewable energy; Computer science; Convergence (economics); Engineering; Mathematics","score_opus":0.021319927314160315,"score_gpt":0.2541329518564404,"score_spread":0.2328130245422801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366977557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016941885,0.0002616414,0.97807056,0.000085119944,0.00002350832,0.000082660175,0.000026815182,0.00012471771,0.0043830606],"genre_scores_gemma":[0.8199008,0.0005124873,0.17580967,0.000060645263,0.000038188784,0.00035428305,0.00007874222,0.00014102423,0.0031041503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940646,0.0002818714,0.0000311047,0.00009280491,0.00012966078,0.000058161353],"domain_scores_gemma":[0.99835014,0.00109549,0.00013566234,0.000058710677,0.00031320142,0.000046700596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021627592,0.0009981603,0.0013251178,0.0011193117,0.0005560038,0.0014197837,0.0010230864,0.0012595784,0.0017833734],"category_scores_gemma":[0.0045573767,0.0009189305,0.0010918916,0.0008355595,0.0007596539,0.0010273287,0.0007837039,0.0011022409,0.00033487155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024876897,0.000015821786,0.00008548585,0.000043770087,0.000016204698,0.000019212122,0.000036590845,0.9835629,0.0009795931,0.0036403784,0.00020462662,0.011370558],"study_design_scores_gemma":[0.000003488085,0.000010449501,0.000026495858,0.000004987282,0.0000035774967,0.000003103314,0.0000030927426,0.9988188,0.00024410304,0.0007122605,0.00016630642,0.0000032045882],"about_ca_topic_score_codex":0.0032885177,"about_ca_topic_score_gemma":0.0023310392,"teacher_disagreement_score":0.0032885177,"about_ca_system_score_codex":0.0008056367,"about_ca_system_score_gemma":0.00097093306,"threshold_uncertainty_score":0.011437893},"labels":[],"label_agreement":null},{"id":"W4366977600","doi":"10.1016/j.renene.2023.04.112","title":"Modelling and analysis of a novel production process of high-pressure hydrogen with CO2 separation using electrochemical compressor and LFR solar collector","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","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 Alberta","funders":"Iran National Science Foundation","keywords":"Hydrogen production; Gas compressor; Nuclear engineering; Renewable energy; Hydrogen; Process engineering; Photovoltaic system; Solar energy; Materials science; Mechanical engineering; Electrical engineering; Chemistry; Engineering","score_opus":0.015560828192651284,"score_gpt":0.2543225008372302,"score_spread":0.2387616726445789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366977600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7595862,0.001273612,0.188895,0.0007362185,0.0001676324,0.0003019974,0.0010804912,0.0012183329,0.04674051],"genre_scores_gemma":[0.98880684,0.0002612862,0.0047129886,0.000021938293,0.000011668886,0.00008047456,0.00011294992,0.000029536912,0.005962363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998901,0.000013280736,0.0000051825664,0.000025318526,0.000042483036,0.000023691373],"domain_scores_gemma":[0.99984586,0.00007621833,0.00001762338,0.00001414927,0.000033378972,0.000012766744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021166101,0.000502022,0.0009068244,0.00034761347,0.0007789644,0.0010776222,0.0010995875,0.0018280622,0.0030904645],"category_scores_gemma":[0.00035059062,0.0004993939,0.0009434839,0.00035177177,0.00048689055,0.000625277,0.0003848422,0.0005370601,0.00039031557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111596884,0.00007755973,0.0009433569,0.00013866911,0.00003888632,0.00032487838,0.000049829978,0.9721614,0.020705113,0.0012599102,0.00022122182,0.0039675334],"study_design_scores_gemma":[0.00001536267,0.000040744595,0.000526334,0.000002893155,0.000011614944,0.00002652222,0.000013883421,0.9949805,0.0037882463,0.00015055409,0.00043622826,0.000007138985],"about_ca_topic_score_codex":0.028376514,"about_ca_topic_score_gemma":0.013364822,"teacher_disagreement_score":0.028376514,"about_ca_system_score_codex":0.00095606246,"about_ca_system_score_gemma":0.001230643,"threshold_uncertainty_score":0.05642271},"labels":[],"label_agreement":null},{"id":"W4367322618","doi":"10.1016/j.renene.2023.04.103","title":"An optimized scheduling strategy combining robust optimization and rolling optimization to solve the uncertainty of RES-CCHP MG","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":36,"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 Natural Science Foundation of China","keywords":"Microgrid; Robust optimization; Renewable energy; Scheduling (production processes); Demand response; Mathematical optimization; Optimization problem; Computer science; Automotive engineering; Engineering; Electricity; Mathematics","score_opus":0.01742498477894278,"score_gpt":0.22116670653569231,"score_spread":0.20374172175674954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367322618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03792483,0.00044854014,0.9489182,0.00023874459,0.000118933385,0.000077423916,0.00013352593,0.000599638,0.011540185],"genre_scores_gemma":[0.9342665,0.00012721577,0.06280595,0.000060385748,0.000041930307,0.00007038868,0.000110155306,0.00007555536,0.0024420246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997212,0.000069497546,0.0000128789325,0.000058900627,0.000084379135,0.000053142554],"domain_scores_gemma":[0.9997855,0.000088036664,0.000037068796,0.000018199804,0.000051866493,0.000019327234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005550645,0.00087825785,0.0014529825,0.00047680622,0.00040965533,0.0010620767,0.0007792068,0.0007127757,0.0026011483],"category_scores_gemma":[0.00089765026,0.0005224628,0.0005996467,0.0006675107,0.00037526092,0.00067003217,0.00063145015,0.0006244637,0.00029553164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041005696,0.000013303132,0.00007860155,0.000027325112,0.000016557215,0.00002717931,0.000009762713,0.9866013,0.0010849311,0.001784184,0.0005081925,0.009807754],"study_design_scores_gemma":[0.0000031981986,0.000009193142,0.000030834384,0.0000010393869,0.0000031960187,0.0000023910266,0.0000021372261,0.9993831,0.00012254005,0.00033255597,0.000108131935,0.0000016130429],"about_ca_topic_score_codex":0.010389217,"about_ca_topic_score_gemma":0.008290112,"teacher_disagreement_score":0.010389217,"about_ca_system_score_codex":0.00060955586,"about_ca_system_score_gemma":0.001369167,"threshold_uncertainty_score":0.02065748},"labels":[],"label_agreement":null},{"id":"W4367596319","doi":"10.1016/j.renene.2023.04.146","title":"A predictive model of velocity for local hydrokinetic power assessment based on remote sensing data","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Flood Risk Assessment and Management","field":"Environmental Science","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":"Carleton University","funders":"","keywords":"Software deployment; Remote sensing; Hydropower; STREAMS; Renewable energy; Environmental science; Elevation (ballistics); Random forest; Arctic; Computer science; Scale (ratio); Data stream mining; Meteorology; Data mining; Machine learning; Engineering; Geology; Geography; Cartography","score_opus":0.024827015694384134,"score_gpt":0.2688450476730125,"score_spread":0.24401803197862834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367596319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26682618,0.0003284379,0.72384775,0.0004513143,0.00015043451,0.000083921674,0.0010575304,0.0023286915,0.0049256594],"genre_scores_gemma":[0.97885096,0.00011808995,0.018697541,0.000028466493,0.00002687028,0.000070454094,0.00039389532,0.00004401217,0.0017696719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998882,0.000018540217,0.000007782594,0.000041911368,0.000028064047,0.00001558256],"domain_scores_gemma":[0.9995943,0.00021344387,0.000040562492,0.000031561165,0.000096199896,0.000024116145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046675015,0.00048977655,0.00063244964,0.00054195843,0.00043351576,0.0007498783,0.0010481806,0.00074335036,0.0013884136],"category_scores_gemma":[0.0015738641,0.0004894128,0.00047532775,0.00068818725,0.00040321334,0.00094106846,0.00040329926,0.00087687984,0.0004015312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012390844,0.000013227675,0.00044567752,0.0000046323594,0.00000600227,0.0000089099585,0.000004258508,0.9939083,0.0002413722,0.0003265591,0.00016968035,0.004858958],"study_design_scores_gemma":[0.0000016861696,0.0000021675369,0.000096677635,7.0717374e-7,0.0000014181745,9.777414e-7,6.879585e-7,0.99965084,0.00006211662,0.00015684249,0.000024211025,0.0000016082548],"about_ca_topic_score_codex":0.06052878,"about_ca_topic_score_gemma":0.035518203,"teacher_disagreement_score":0.06052878,"about_ca_system_score_codex":0.00084337534,"about_ca_system_score_gemma":0.001109382,"threshold_uncertainty_score":0.120352924},"labels":[],"label_agreement":null},{"id":"W4376606147","doi":"10.1016/j.renene.2023.05.059","title":"Model predictive control of air-based building integrated PV/T systems for optimal HVAC integration","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":46,"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":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Building-integrated photovoltaics; HVAC; Photovoltaic system; Model predictive control; Airflow; Automotive engineering; Thermal energy; Computer science; Environmental science; Engineering; Air conditioning; Mechanical engineering; Control (management); Electrical engineering","score_opus":0.011441073706632863,"score_gpt":0.20961787644322522,"score_spread":0.19817680273659236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376606147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2821485,0.0008908306,0.68945414,0.0004330993,0.00028396008,0.00007834607,0.00025003098,0.0012029877,0.025258088],"genre_scores_gemma":[0.9958644,0.00005253534,0.0029018957,0.000015779686,0.000008731799,0.000014690202,0.00002386639,0.000012481652,0.0011055991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989855,0.00002148376,0.000004210753,0.000021243066,0.00003279489,0.000021762497],"domain_scores_gemma":[0.99990475,0.000030901952,0.000016015261,0.0000085127585,0.000032286163,0.0000075005287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021936362,0.0003734026,0.00046272614,0.00016145495,0.00034489922,0.00082002074,0.00048398215,0.00034679603,0.0026552558],"category_scores_gemma":[0.00034488327,0.00023395776,0.0003024395,0.00027885204,0.0002305929,0.00038544834,0.00036692224,0.00063029904,0.00033816652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014036114,0.000059833175,0.00024265252,0.000059883354,0.000030094961,0.00003482617,0.000029020732,0.9673478,0.006739471,0.0011207194,0.00088379823,0.023311611],"study_design_scores_gemma":[0.0000074934437,0.00003206065,0.00016286212,0.000002715864,0.000005355522,0.0000034073535,0.0000049391615,0.9982603,0.0010186487,0.00031054177,0.00018916569,0.0000024072424],"about_ca_topic_score_codex":0.0081117265,"about_ca_topic_score_gemma":0.012435362,"teacher_disagreement_score":0.0081117265,"about_ca_system_score_codex":0.00033604013,"about_ca_system_score_gemma":0.0004954903,"threshold_uncertainty_score":0.016129017},"labels":[],"label_agreement":null},{"id":"W4378549525","doi":"10.1016/j.renene.2023.05.113","title":"Techno-economic assessment of an efficient liquid air energy storage with ejector refrigeration cycle for peak shaving of renewable energies","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":27,"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":"Refrigeration; Renewable energy; Process engineering; Energy storage; Exergy efficiency; Electricity generation; Exergy; Environmental science; Payback period; Organic Rankine cycle; Waste management; Electricity; Liquid air; Waste heat; Engineering; Power (physics); Mechanical engineering; Electrical engineering; Production (economics); Chemistry; Thermodynamics; Heat exchanger","score_opus":0.005338904396721029,"score_gpt":0.22301158191649176,"score_spread":0.21767267751977074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378549525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909486,0.00052481395,0.0032080577,0.00010949652,0.000029092573,0.0001393841,0.00044950974,0.0000377427,0.004553369],"genre_scores_gemma":[0.998872,0.00010504337,0.00042347825,0.000004705877,0.0000033787398,0.000030578027,0.00006939733,0.0000046617183,0.00048672815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994265,0.00016637775,0.000027245826,0.00005818593,0.00024012837,0.0000816582],"domain_scores_gemma":[0.99938893,0.00031187132,0.000035048968,0.000034418328,0.00019179253,0.000037980986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011856972,0.00083505886,0.0011095495,0.001641507,0.00086437265,0.0015549192,0.0009939801,0.0010926797,0.0030830957],"category_scores_gemma":[0.0010149161,0.00046781407,0.0011476672,0.0012138353,0.00073119457,0.0014409272,0.00056334556,0.0005759482,0.00023194039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061845365,0.0009250597,0.009886726,0.0006772581,0.00022475142,0.0004418801,0.000049235034,0.88402426,0.059880365,0.0032011934,0.0006376827,0.033866916],"study_design_scores_gemma":[0.00035936566,0.004501293,0.021848394,0.000032681775,0.00029483106,0.00009040592,0.00023552588,0.90777963,0.062143613,0.0013994353,0.0012242768,0.000090622765],"about_ca_topic_score_codex":0.01159899,"about_ca_topic_score_gemma":0.01619111,"teacher_disagreement_score":0.01159899,"about_ca_system_score_codex":0.0033790397,"about_ca_system_score_gemma":0.001614514,"threshold_uncertainty_score":0.02451682},"labels":[],"label_agreement":null},{"id":"W4381948346","doi":"10.1016/j.renene.2023.118956","title":"Development of a global kinetic model based on chemical compositions of lignocellulosic biomass for predicting product yields from hydrothermal liquefaction","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Lignin and Wood Chemistry","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":"Natural Resources Canada; Western University","funders":"","keywords":"Lignocellulosic biomass; Hemicellulose; Biomass (ecology); Lignin; Hydrothermal liquefaction; Cellulose; Pulp and paper industry; Chemistry; Biofuel; Environmental science; Waste management; Organic chemistry; Catalysis; Agronomy; Engineering","score_opus":0.012217090267937622,"score_gpt":0.21240676637787267,"score_spread":0.20018967610993504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381948346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44826674,0.00036723926,0.53840894,0.00031829893,0.00014443898,0.00015941287,0.0013300373,0.002270439,0.008734518],"genre_scores_gemma":[0.9512829,0.00022534981,0.04440284,0.000038403567,0.000019007244,0.00019081648,0.0010548957,0.00018378593,0.0026019188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993515,0.000010592864,0.000005769333,0.000020821471,0.000016208325,0.000011552479],"domain_scores_gemma":[0.99981326,0.00007968157,0.000017464383,0.000018659232,0.00005225894,0.000018670551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003068305,0.0010629208,0.0009339578,0.00033653964,0.0005328394,0.0007785514,0.00096314895,0.0010951703,0.0012978808],"category_scores_gemma":[0.00059094245,0.00061012694,0.0009871747,0.0003584409,0.00032404577,0.0008492157,0.0005583059,0.0007288088,0.00037350657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011372458,0.000017447259,0.00053852756,0.00001268462,0.00001198937,0.000020912326,0.000006435552,0.9943849,0.0023516489,0.00027492837,0.000059486472,0.0023096148],"study_design_scores_gemma":[0.000003674978,0.0000064796022,0.00009987059,7.3624085e-7,0.0000030996364,0.0000016031152,0.0000016691173,0.9991186,0.00058965787,0.000087978784,0.000084472114,0.0000021611106],"about_ca_topic_score_codex":0.024896175,"about_ca_topic_score_gemma":0.012760755,"teacher_disagreement_score":0.024896175,"about_ca_system_score_codex":0.0008021329,"about_ca_system_score_gemma":0.0017728378,"threshold_uncertainty_score":0.04950255},"labels":[],"label_agreement":null},{"id":"W4382364472","doi":"10.1016/j.renene.2023.118975","title":"Development of energy aggregators for virtual communities: The energy efficiency-flexibility nexus for demand response","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":40,"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; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Demand response; News aggregator; Flexibility (engineering); Renewable energy; Energy management; Load shifting; Computer science; Environmental economics; Energy consumption; Efficient energy use; Demand management; Photovoltaic system; Electricity; Engineering; Energy (signal processing); Economics","score_opus":0.024445302078330157,"score_gpt":0.23721278587503944,"score_spread":0.2127674837967093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382364472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16299394,0.00040509924,0.7609903,0.005565538,0.0003843106,0.0006239866,0.00021008044,0.0024700128,0.066356726],"genre_scores_gemma":[0.78110665,0.0003003717,0.20825386,0.00025464827,0.000046773985,0.00020991612,0.00029800576,0.00012515184,0.009404627],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874663,0.0007007976,0.000036035297,0.00016041897,0.00023515004,0.000120914265],"domain_scores_gemma":[0.9977915,0.0003895575,0.00014020131,0.0005648815,0.0006632404,0.0004505505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002740994,0.0004051825,0.00020104442,0.0003579166,0.0007470104,0.002076235,0.0016332865,0.00077255775,0.004381442],"category_scores_gemma":[0.004407459,0.00026164768,0.0003472599,0.00043881958,0.00070543145,0.0039314786,0.003394865,0.0012040569,0.0011802601],"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":[0.00034917472,0.0012537367,0.013544421,0.00033816329,0.000121060526,0.00054239936,0.0015809685,0.1518172,0.022114145,0.32298267,0.025819166,0.45953694],"study_design_scores_gemma":[0.00010956398,0.0006411132,0.0025670405,0.00014231031,0.000057781326,0.000287444,0.0018805172,0.7495367,0.020360114,0.110868126,0.11349334,0.000055848162],"about_ca_topic_score_codex":0.0016508263,"about_ca_topic_score_gemma":0.0031927044,"teacher_disagreement_score":0.004381442,"about_ca_system_score_codex":0.00074666267,"about_ca_system_score_gemma":0.0027878468,"threshold_uncertainty_score":0.014657378},"labels":[],"label_agreement":null},{"id":"W4383197370","doi":"10.1016/j.renene.2023.118996","title":"Design, thermodynamic, and economic analyses of a green hydrogen storage concept based on solid oxide electrolyzer/fuel cells and heliostat solar field","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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 Alberta","funders":"","keywords":"Hydrogen production; Heliostat; Environmental science; Process engineering; Hydrogen; Hydrogen storage; Payback period; Electricity; Waste management; Production (economics); Solar energy; Engineering; Chemistry; Economics; Electrical engineering; Microeconomics","score_opus":0.016119717347253332,"score_gpt":0.24601932631001486,"score_spread":0.22989960896276151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383197370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77668875,0.0012611584,0.1861959,0.0006738563,0.00013935243,0.00023972086,0.00017498758,0.00027451286,0.03435178],"genre_scores_gemma":[0.98866475,0.00015550242,0.008492643,0.00002149031,0.000009967062,0.000037634712,0.000019264706,0.000011059848,0.002587599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999486,0.000008008003,0.0000014063698,0.000008151614,0.000026946556,0.0000068204695],"domain_scores_gemma":[0.99995077,0.000019559371,0.0000068857225,0.0000027922424,0.000014277907,0.000005646928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017621995,0.00021722192,0.00027777447,0.00020764141,0.00035548315,0.00049118453,0.00043837432,0.0002770659,0.001969861],"category_scores_gemma":[0.00014913782,0.00018925652,0.00028146483,0.00012309056,0.000348537,0.0004172625,0.00021602705,0.00025158082,0.00013462166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066077535,0.00030763668,0.0011886178,0.00033766683,0.00007015678,0.00028309552,0.00013354338,0.63898593,0.2502977,0.043111518,0.0016671557,0.062956184],"study_design_scores_gemma":[0.000044043758,0.00036384683,0.0007017178,0.0000059803237,0.000027086637,0.000042957923,0.000044791686,0.95618975,0.03715495,0.0029524325,0.002457645,0.00001480136],"about_ca_topic_score_codex":0.0013277978,"about_ca_topic_score_gemma":0.0020175483,"teacher_disagreement_score":0.001969861,"about_ca_system_score_codex":0.0006363477,"about_ca_system_score_gemma":0.00048283546,"threshold_uncertainty_score":0.0065898895},"labels":[],"label_agreement":null},{"id":"W4384830492","doi":"10.1016/j.renene.2023.119044","title":"Performance analysis of phase change slurries for closed-loop geothermal system","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials 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 Toronto","funders":"","keywords":"Geothermal gradient; Geothermal energy; Renewable energy; Geothermal heating; Thermal energy; Brine; Slurry; Petroleum engineering; Process engineering; Geothermal power; Environmental science; Working fluid; Thermal fluids; Thermal; Electricity generation; Engineering; Mechanical engineering; Environmental engineering; Thermal resistance; Thermodynamics; Power (physics); Geology; Electrical engineering","score_opus":0.05614408614309126,"score_gpt":0.2923807673423561,"score_spread":0.23623668119926483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384830492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98140097,0.00017971091,0.01578676,0.00005768081,0.000031182946,0.000035341447,0.00011609252,0.00028666062,0.00210558],"genre_scores_gemma":[0.9984207,0.000022497146,0.00078958063,0.0000048098036,0.0000015846337,0.0000062339363,0.000037971375,0.000008528187,0.0007081864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975187,0.000036462465,0.000013343771,0.000059459257,0.0000975682,0.00004124542],"domain_scores_gemma":[0.99960726,0.00015782006,0.000045796955,0.000025934449,0.00014576371,0.000017472912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027977212,0.0002893139,0.0004763188,0.00022134061,0.00040887622,0.00058683276,0.00044455702,0.00043715828,0.0025015993],"category_scores_gemma":[0.0006921778,0.00012242755,0.00028586574,0.000200777,0.0002244797,0.0004887613,0.00019563216,0.00025451794,0.00035667483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005349709,0.00041125258,0.0047771037,0.0007064307,0.00007099172,0.00034547466,0.00023148075,0.1604601,0.7677831,0.0009158721,0.000810458,0.058137994],"study_design_scores_gemma":[0.00010550969,0.0037580084,0.0066516306,0.000010538956,0.000053042677,0.00008109166,0.00013131155,0.45499107,0.5323059,0.00023346122,0.001651627,0.000026738104],"about_ca_topic_score_codex":0.0027054327,"about_ca_topic_score_gemma":0.0030713973,"teacher_disagreement_score":0.0027054327,"about_ca_system_score_codex":0.0005476544,"about_ca_system_score_gemma":0.000333315,"threshold_uncertainty_score":0.008368731},"labels":[],"label_agreement":null},{"id":"W4385718825","doi":"10.1016/j.renene.2023.119147","title":"Microbial pretreatment of camelina straw and switchgrass by Trametes versicolor and Phanerochaete chrysosporium to improve physical quality and enhance enzymatic digestibility of solid biofuel pellets","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","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":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada","keywords":"Phanerochaete; Trametes versicolor; Pellets; Xylose; Chemistry; Biofuel; Camelina sativa; Food science; Straw; Panicum virgatum; Chrysosporium; Bioenergy; Fermentation; Agronomy; Lignin; Biotechnology; Biochemistry; Materials science; Biology; Laccase; Organic chemistry; Enzyme","score_opus":0.008988150979245907,"score_gpt":0.24528623221557308,"score_spread":0.23629808123632717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385718825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974166,0.00045382703,0.0011192838,0.00006080013,0.000030331765,0.000019468058,0.0002185012,0.000017846947,0.00066329405],"genre_scores_gemma":[0.9969964,0.0002917096,0.001011833,0.000028534525,0.0000064590167,0.000008196208,0.0003541143,0.000010763473,0.0012920898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998234,0.000022750206,0.000015123055,0.000037464884,0.000036863188,0.000064406406],"domain_scores_gemma":[0.99994206,0.000008029897,0.00001645921,0.000005084787,0.000012723701,0.000015633772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016591913,0.0006885244,0.00033027833,0.00021979322,0.0001853906,0.00041899894,0.00019383262,0.00029662432,0.0007776854],"category_scores_gemma":[0.00018202681,0.00013877408,0.0005356332,0.00027991808,0.00013927916,0.000343634,0.00021388795,0.0003923723,0.00016775445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012697736,0.0000240727,0.000169168,0.000021203987,0.00000914905,0.00003385251,0.000012236048,0.000084840045,0.99862075,0.000014400989,0.000013859971,0.00086945045],"study_design_scores_gemma":[0.0000066894836,0.00024099488,0.0032256506,0.0000042492406,0.00001664586,0.00003463094,0.00003737836,0.0003176912,0.99568766,0.000010517202,0.00041388895,0.000003972064],"about_ca_topic_score_codex":0.0047762515,"about_ca_topic_score_gemma":0.008400603,"teacher_disagreement_score":0.0047762515,"about_ca_system_score_codex":0.0003378631,"about_ca_system_score_gemma":0.0005194158,"threshold_uncertainty_score":0.009496868},"labels":[],"label_agreement":null},{"id":"W4386616257","doi":"10.1016/j.renene.2023.119291","title":"Drying characteristic, sustainability, and 4E (energy, exergy, and enviro-economic) analysis of dried date fruits using indirect solar-electric dryer: An experimental investigation","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":35,"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 Normal University; Innovation, Science and Economic Development Canada","keywords":"Exergy; Solar dryer; Payback period; Exergy efficiency; Thermal diffusivity; Environmental science; Mass fraction; Solar energy; Chemistry; Environmental engineering; Animal science; Thermodynamics; Physics","score_opus":0.03250940126202452,"score_gpt":0.24616673236750375,"score_spread":0.21365733110547924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386616257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839574,0.00014656554,0.0010204794,0.0000053772224,0.0000030564713,0.0000067594165,0.00015147046,0.0000083003915,0.00026220692],"genre_scores_gemma":[0.9966415,0.0002902734,0.0022217906,0.0000073676733,0.0000031501638,0.000014395834,0.00018083677,0.000010618053,0.000629894],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992454,0.0000050344006,0.0000057364855,0.00002284609,0.000031288637,0.000010590407],"domain_scores_gemma":[0.99990153,0.000030809686,0.000022786271,0.000009958544,0.000024145147,0.000010681614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018671097,0.00027527308,0.00031735082,0.00032641526,0.00017671935,0.00022683457,0.00021283804,0.00021276092,0.0006914697],"category_scores_gemma":[0.00018887199,0.00014725642,0.00036500546,0.0004401275,0.00017582688,0.0002930114,0.00013129582,0.00034505312,0.000101527454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108444765,0.00002262869,0.0014475369,0.000061959436,0.000008267366,0.00006159064,0.00004226838,0.0005110225,0.9959067,0.000039679002,0.000014126615,0.0017756916],"study_design_scores_gemma":[0.000007749618,0.00032388754,0.02935301,0.0000044993667,0.00002825074,0.000071773655,0.000063331216,0.0030703612,0.9666921,0.0000320549,0.00033979045,0.000013266995],"about_ca_topic_score_codex":0.00055287505,"about_ca_topic_score_gemma":0.0010021009,"teacher_disagreement_score":0.0006914697,"about_ca_system_score_codex":0.00014333516,"about_ca_system_score_gemma":0.00006879488,"threshold_uncertainty_score":0.0023131967},"labels":[],"label_agreement":null},{"id":"W4386888645","doi":"10.1016/j.renene.2023.119343","title":"Vertical free-swinging photovoltaic racking energy modeling: A novel approach to agrivoltaics","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":23,"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","funders":"","keywords":"Photovoltaic system; Cost of electricity by source; Tilt (camera); Python (programming language); Wind speed; Rack; Marine engineering; Solar energy; Automotive engineering; Environmental science; Engineering; Meteorology; Electrical engineering; Electricity generation; Computer science; Mechanical engineering; Power (physics); Physics","score_opus":0.020083829157117067,"score_gpt":0.2208275672476342,"score_spread":0.20074373809051713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386888645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13870962,0.00049622933,0.7382594,0.0008164707,0.00022103412,0.00012721571,0.0010155753,0.00047775276,0.11987673],"genre_scores_gemma":[0.9477033,0.00027667737,0.029853141,0.00017099132,0.000051919647,0.00011473115,0.0003159902,0.00013191906,0.021381268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999056,0.0000203896,0.0000038031346,0.00002115832,0.00002490286,0.00002414985],"domain_scores_gemma":[0.9998901,0.000042818607,0.000012700177,0.0000134113225,0.000027396407,0.000013554254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015188147,0.0005154651,0.0006368194,0.00033831727,0.00071315176,0.0012098126,0.0013631722,0.0014844673,0.0065949373],"category_scores_gemma":[0.0005219486,0.000438833,0.00068579195,0.0006375563,0.00043588417,0.00092727324,0.0009601855,0.0008104321,0.00066235237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007910112,0.000016417118,0.00023616999,0.000011404723,0.000006332339,0.000024809826,0.000011039509,0.9921406,0.0005814435,0.0036177319,0.00026383577,0.003082396],"study_design_scores_gemma":[0.0000015188342,0.00000388342,0.00005634875,0.0000014133215,0.0000013323541,0.0000027453323,0.000006839772,0.998588,0.00007529876,0.00086540496,0.00039575636,0.0000014768743],"about_ca_topic_score_codex":0.02155213,"about_ca_topic_score_gemma":0.019323021,"teacher_disagreement_score":0.02155213,"about_ca_system_score_codex":0.00061292894,"about_ca_system_score_gemma":0.0010040475,"threshold_uncertainty_score":0.042853415},"labels":[],"label_agreement":null},{"id":"W4387116469","doi":"10.1016/j.renene.2023.119348","title":"Recent advances in the production processes of hydrothermal liquefaction biocrude and aid-in investigation techniques","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":26,"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; Dalhousie University","funders":"Seed Industry Innovation and Industrialization Engineering Project of Fujian Province; Minjiang University; Natural Science Foundation of Fujian Province","keywords":"Hydrothermal liquefaction; Depolymerization; Yield (engineering); Pulp and paper industry; Newsprint; Raw material; Biomass (ecology); Liquefaction; Polyethylene; Materials science; Waste management; Environmental science; Process engineering; Chemistry; Biofuel; Organic chemistry; Composite material; Kraft paper; Engineering; Polymer chemistry","score_opus":0.009400961222200722,"score_gpt":0.21597767590573078,"score_spread":0.20657671468353006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387116469","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":[0.3253282,0.42710662,0.20437756,0.001999059,0.00083020044,0.00018823288,0.000494107,0.0006100534,0.039065998],"genre_scores_gemma":[0.5141976,0.31159872,0.15333736,0.00051336334,0.0005748738,0.00014817498,0.0008004314,0.00011884492,0.01871065],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997478,0.000039027065,0.000026523994,0.00005864638,0.000098055105,0.000029837172],"domain_scores_gemma":[0.9995358,0.00014111676,0.00010374116,0.00004972403,0.0001388524,0.000030730644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009165286,0.0006689596,0.00038691892,0.00068888115,0.00025056323,0.00067849655,0.0003827667,0.00041704593,0.0015119943],"category_scores_gemma":[0.0005293248,0.00026622112,0.00036310044,0.0007911632,0.0003943355,0.000869495,0.00055887294,0.00081420527,0.00063268415],"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":[0.00020238891,0.00014746716,0.0012453792,0.0033855888,0.000055907563,0.00016292722,0.00021345298,0.000832474,0.77621096,0.0052539213,0.0011288862,0.21116069],"study_design_scores_gemma":[0.000011506848,0.0002890305,0.0017172694,0.00010061545,0.00010448312,0.0005127941,0.00012359966,0.0033219159,0.91260713,0.00074114825,0.08044026,0.000030283216],"about_ca_topic_score_codex":0.0006520809,"about_ca_topic_score_gemma":0.0014431064,"teacher_disagreement_score":0.0015119943,"about_ca_system_score_codex":0.00042241684,"about_ca_system_score_gemma":0.00046540066,"threshold_uncertainty_score":0.0050581098},"labels":[],"label_agreement":null},{"id":"W4387345033","doi":"10.1016/j.renene.2023.119367","title":"Enhancing the performance of solar water heating systems: Application of double-layer phase change materials","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Phase Change Materials 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":"Concordia University","funders":"","keywords":"TRNSYS; Phase-change material; Thermal energy storage; Storage tank; Environmental science; Thermal; Solar water heating; Solar energy; Volume (thermodynamics); Materials science; Nuclear engineering; Process engineering; Waste management; Engineering; Meteorology; Thermodynamics; Electrical engineering","score_opus":0.04894068370281468,"score_gpt":0.2862583952723564,"score_spread":0.23731771156954173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387345033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750543,0.0030696995,0.016144294,0.00023062422,0.00009479324,0.000029044088,0.000088411805,0.00023330227,0.0050554713],"genre_scores_gemma":[0.9930594,0.0009399778,0.004548428,0.000027197964,0.00001849614,0.000007292626,0.000043090455,0.000021910524,0.0013341093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999603,0.0000041199423,0.0000017859413,0.000007940141,0.000013700897,0.00001208467],"domain_scores_gemma":[0.9999676,0.0000104989085,0.00000483067,0.0000032473245,0.0000092954615,0.0000044828034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009514915,0.00023957949,0.00020744391,0.00016107727,0.00012934585,0.00033699616,0.00016419563,0.00024162343,0.0012105763],"category_scores_gemma":[0.00013267632,0.00012431483,0.0001563597,0.0001793466,0.000098721386,0.00051555654,0.00017236714,0.00033368604,0.00019995017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006614032,0.000032565666,0.0001202633,0.00009858101,0.0000052349715,0.000018703331,0.000011844177,0.0004041089,0.98848116,0.00027876615,0.00012034281,0.0103624035],"study_design_scores_gemma":[0.0000051763814,0.000074180454,0.00027320778,0.0000023137097,0.000004961186,0.000020666957,0.000005930111,0.0030829704,0.9954932,0.000041013715,0.000994069,0.000002184093],"about_ca_topic_score_codex":0.00021602768,"about_ca_topic_score_gemma":0.00052985054,"teacher_disagreement_score":0.0012105763,"about_ca_system_score_codex":0.0001441577,"about_ca_system_score_gemma":0.000110817055,"threshold_uncertainty_score":0.004049778},"labels":[],"label_agreement":null},{"id":"W4387424122","doi":"10.1016/j.renene.2023.119375","title":"Tailoring hierarchically porous structure of biomass-derived carbon for high-performance supercapacitors","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":55,"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 Alberta","funders":"Science Fund for Distinguished Young Scholars of Heilongjiang Province; China Scholarship Council; Northeast Forestry University; National Natural Science Foundation of China; University of Alberta","keywords":"Supercapacitor; Materials science; Specific surface area; Carbonization; Capacitance; Porosity; Carbon fibers; Electrolyte; Chemical engineering; Current density; Power density; Biomass (ecology); Potassium hydroxide; Potassium permanganate; Nanotechnology; Composite material; Electrode; Chemistry; Inorganic chemistry; Organic chemistry; Power (physics); Scanning electron microscope","score_opus":0.014056041440360328,"score_gpt":0.2159797727115635,"score_spread":0.20192373127120317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387424122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857436,0.0007785808,0.006657491,0.0001238592,0.00007581708,0.000036179117,0.00035299934,0.00020485552,0.0060266024],"genre_scores_gemma":[0.9966911,0.00028716677,0.002133751,0.000023443534,0.00000875797,0.000018295807,0.0001543031,0.000015368298,0.0006677744],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991214,0.0000042363386,0.000005758284,0.000018271225,0.000024311257,0.000035314257],"domain_scores_gemma":[0.99991393,0.000014880062,0.000014826207,0.000010736838,0.000021460908,0.000024156916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007975929,0.00028292713,0.00014428435,0.00029628573,0.00018617605,0.00033140247,0.00033336872,0.0003479102,0.0011599865],"category_scores_gemma":[0.00025999203,0.00014023774,0.00017642423,0.0003634577,0.00019361243,0.0003650236,0.00032287606,0.0005088935,0.00030071093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093622846,0.00009724472,0.00037276786,0.0001842871,0.000020247495,0.00018310564,0.000052004754,0.002537736,0.9842754,0.0020969333,0.0005050061,0.00958166],"study_design_scores_gemma":[0.000027276612,0.00023037624,0.0018347711,0.000015122562,0.000015877567,0.000073144845,0.000056572,0.012386642,0.9805597,0.00034718844,0.0044320743,0.000021330909],"about_ca_topic_score_codex":0.0007388653,"about_ca_topic_score_gemma":0.002981326,"teacher_disagreement_score":0.0011599865,"about_ca_system_score_codex":0.0003109868,"about_ca_system_score_gemma":0.00023347641,"threshold_uncertainty_score":0.0038805604},"labels":[],"label_agreement":null},{"id":"W4387426223","doi":"10.1016/j.renene.2023.119418","title":"Prediction of multiple-wake velocity and wind power using a cosine-shaped wake model","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"Western University","funders":"China Scholarship Council","keywords":"Wake; Turbine; Wind power; Wind speed; Superposition principle; Mechanics; Physics; Meteorology; Marine engineering; Engineering; Aerospace engineering; Electrical engineering","score_opus":0.03574035829508061,"score_gpt":0.224376305164556,"score_spread":0.18863594686947538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387426223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77855307,0.00029139724,0.21403894,0.00031199906,0.0002551691,0.00007476703,0.00022903814,0.0006132594,0.0056324494],"genre_scores_gemma":[0.98817784,0.00007039191,0.010197927,0.000022296414,0.000021921704,0.000018798988,0.000110765046,0.000033532924,0.001346563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999397,0.000010956551,0.0000038409867,0.000016126989,0.000015206472,0.000014130801],"domain_scores_gemma":[0.9997029,0.00011396305,0.000032843494,0.000018984261,0.00008807566,0.00004320639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029406563,0.0005293286,0.0005512938,0.00025681537,0.00033517496,0.00040549823,0.0006285881,0.0007719951,0.00076081493],"category_scores_gemma":[0.0009076076,0.00041154807,0.00059478625,0.00025427903,0.0003048803,0.000678396,0.0003644634,0.0006978489,0.00016827366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036678906,0.00003564856,0.0010359271,0.000009675763,0.000007131345,0.000024964296,0.000005319135,0.99468565,0.0015456091,0.00038283752,0.00014747298,0.002083087],"study_design_scores_gemma":[0.0000035179544,0.000004715694,0.00012389773,3.2447744e-7,6.899631e-7,8.94992e-7,6.4107354e-7,0.99974614,0.00008493477,0.00002339967,0.000009733905,0.0000011512658],"about_ca_topic_score_codex":0.016568648,"about_ca_topic_score_gemma":0.010636527,"teacher_disagreement_score":0.016568648,"about_ca_system_score_codex":0.00047008018,"about_ca_system_score_gemma":0.0009223071,"threshold_uncertainty_score":0.03294444},"labels":[],"label_agreement":null},{"id":"W4387710730","doi":"10.1016/j.renene.2023.119439","title":"Optical characterization of accumulated dust particles and the sustainability of transmitted solar irradiance to photovoltaic cells","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"solar cell performance optimization","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":"Department of Mechanical Engineering, University of Alberta; American University of Sharjah","keywords":"Irradiance; Solar irradiance; Environmental science; Wavelength; Photovoltaic system; Dominance (genetics); Atmospheric sciences; Optics; Materials science; Optoelectronics; Physics; Chemistry; Ecology; Biology","score_opus":0.006688175122049725,"score_gpt":0.19719660183985757,"score_spread":0.19050842671780785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387710730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998041,0.00022503747,0.0010715703,0.0000054338116,0.000005239682,0.0000073037127,0.00014052461,0.000005918615,0.00049797446],"genre_scores_gemma":[0.99793506,0.00022234587,0.0010528332,0.000008540076,0.0000047032745,0.000009562745,0.00022345828,0.0000050049866,0.0005385126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977154,0.000026437343,0.000012770823,0.000045770204,0.00011989684,0.000023560415],"domain_scores_gemma":[0.9997812,0.00003177381,0.00006436384,0.00001155729,0.00010247578,0.000008650563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018599862,0.00019414574,0.00023784972,0.00038223743,0.00020528623,0.00038898835,0.00018469755,0.00018147,0.00040593583],"category_scores_gemma":[0.0002730734,0.00011329043,0.00021493918,0.00040589407,0.00012305687,0.00015006833,0.00012592248,0.00017925548,0.0001011663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029587324,0.00019631753,0.24755043,0.00024090333,0.00014843378,0.00034882373,0.0005246329,0.003372078,0.7222092,0.00009934467,0.00020170097,0.024812294],"study_design_scores_gemma":[0.0000046192804,0.00072831626,0.7656869,0.000018097222,0.00008487496,0.0003101703,0.00095419347,0.004644105,0.22601323,0.00006237838,0.0014736882,0.000019376643],"about_ca_topic_score_codex":0.0037474476,"about_ca_topic_score_gemma":0.0073535806,"teacher_disagreement_score":0.0037474476,"about_ca_system_score_codex":0.00026414238,"about_ca_system_score_gemma":0.00011319605,"threshold_uncertainty_score":0.0074512362},"labels":[],"label_agreement":null},{"id":"W4387866580","doi":"10.1016/j.renene.2023.119443","title":"A sustainable multi-objective optimization model for the design of hybrid power supply networks under uncertainty","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","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":"Université Laval","funders":"","keywords":"Greenhouse gas; Environmental economics; Scarcity; Fossil fuel; Renewable energy; Multi-objective optimization; Pareto principle; Profit (economics); Energy supply; Population; Engineering; Economics; Natural resource economics; Computer science; Operations management; Energy (signal processing); Microeconomics; Waste management; Ecology","score_opus":0.014057567141940761,"score_gpt":0.21382234089073024,"score_spread":0.19976477374878948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387866580","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020591557,0.00037250915,0.9681381,0.00037191407,0.000048690225,0.00007742644,0.00021908418,0.0001540772,0.010026694],"genre_scores_gemma":[0.8717846,0.000620024,0.11471082,0.00016046257,0.000055380813,0.0006223133,0.00039671184,0.000115231494,0.01153437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954116,0.00020674875,0.000014938387,0.00006586413,0.00012250125,0.000048811766],"domain_scores_gemma":[0.9994217,0.000370878,0.000059822803,0.000018709217,0.00009824361,0.000030649288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011700195,0.0010886389,0.0012941875,0.00067245757,0.000521307,0.0013266457,0.0012609,0.001842804,0.0033321336],"category_scores_gemma":[0.0020036718,0.00085496,0.0009126459,0.0010567165,0.00072563614,0.0010648216,0.0013166931,0.0011608911,0.0003705598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049647206,0.0000037328791,0.000028263361,0.000008826768,0.000006606349,0.000009498692,0.000004241953,0.9968374,0.00006936041,0.002092597,0.000077544515,0.0008569782],"study_design_scores_gemma":[0.0000033210877,0.0000068706795,0.00001585202,0.0000018662563,0.0000024335627,0.000001900562,0.0000020794116,0.99831533,0.000022742011,0.0014795872,0.00014671888,0.0000013689953],"about_ca_topic_score_codex":0.0057681007,"about_ca_topic_score_gemma":0.005894345,"teacher_disagreement_score":0.0057681007,"about_ca_system_score_codex":0.001059593,"about_ca_system_score_gemma":0.0014491327,"threshold_uncertainty_score":0.011469007},"labels":[],"label_agreement":null},{"id":"W4388326987","doi":"10.1016/j.renene.2023.119547","title":"Development of an integrated model on the basis of GCMs-RF-FA for predicting wind energy resources under climate change impact: A case study of Jing-Jin-Ji region in China","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","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 Regina","funders":"National Natural Science Foundation of China","keywords":"Environmental science; Wind power; Renewable energy; Wind speed; Climate change; Climatology; Meteorology; Precipitation; Atmospheric sciences; Geography; Engineering","score_opus":0.04452876954075573,"score_gpt":0.25561743399669956,"score_spread":0.21108866445594382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388326987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9241647,0.00032325802,0.0602775,0.0005644283,0.00030290458,0.00018789039,0.002423016,0.0028591533,0.008897228],"genre_scores_gemma":[0.9759233,0.000096623895,0.02112091,0.000047018617,0.000030106721,0.00009001838,0.001274557,0.00009306695,0.0013244458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999818,0.000035130324,0.000016771564,0.00005624903,0.000034458204,0.000039420003],"domain_scores_gemma":[0.9996947,0.00006416033,0.000021951686,0.00003696821,0.00013596208,0.000046343368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006505496,0.0011945689,0.001331722,0.0006664241,0.00096172764,0.0011854781,0.0019396353,0.0017481319,0.0019341791],"category_scores_gemma":[0.0009058577,0.0007361002,0.001357773,0.00076325046,0.00038435913,0.0015069613,0.0008722421,0.0009422007,0.00036143686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057584148,0.000129073,0.0058431868,0.000030764808,0.000081686994,0.00009672451,0.000036017234,0.98465526,0.0016712833,0.00038933594,0.00047651172,0.006532483],"study_design_scores_gemma":[0.000017331997,0.0000114208215,0.000650254,0.0000016238771,0.000016702961,0.0000026018668,0.0000131331935,0.9988165,0.0002452732,0.00007810173,0.0001413262,0.000005753598],"about_ca_topic_score_codex":0.1613511,"about_ca_topic_score_gemma":0.09662606,"teacher_disagreement_score":0.1613511,"about_ca_system_score_codex":0.0013385268,"about_ca_system_score_gemma":0.0031026215,"threshold_uncertainty_score":0.32082385},"labels":[],"label_agreement":null},{"id":"W4388724226","doi":"10.1016/j.renene.2023.119626","title":"Application of machine learning in evaluating and optimizing the hydrogen production performance of a solar-based electrolyzer system","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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":"Université Laval; University of Alberta","funders":"","keywords":"Hydrogen production; Photovoltaic system; Hyperparameter; Hydrogen; Convolutional neural network; Extreme learning machine; Computer science; Process engineering; Artificial intelligence; Environmental science; Machine learning; Artificial neural network; Simulation; Engineering; Chemistry; Electrical engineering","score_opus":0.012297449006733572,"score_gpt":0.23050051574177666,"score_spread":0.21820306673504308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388724226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734128,0.00024195346,0.0230015,0.00007551462,0.0000263312,0.000043656477,0.000065353444,0.00023177457,0.0029010861],"genre_scores_gemma":[0.9975898,0.000019295405,0.0021229908,0.0000049703353,0.0000015953648,0.0000059130402,0.00001710569,0.000003678468,0.00023465604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996001,0.00016750336,0.000032471977,0.000053599106,0.00011670791,0.00002956297],"domain_scores_gemma":[0.9990589,0.0005803026,0.00008176265,0.0000485427,0.00020875638,0.00002160719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095359446,0.0005281294,0.0005709806,0.00051901536,0.00038226004,0.00060451403,0.0003081265,0.0005264891,0.0005128014],"category_scores_gemma":[0.0016254978,0.00019909046,0.00026651827,0.00028502458,0.00021532972,0.00039888802,0.00021038961,0.00031833808,0.00010664881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008639673,0.0006435684,0.015230621,0.00016978964,0.00014408844,0.00009541173,0.000047709844,0.8514729,0.038100906,0.00039152824,0.00037700334,0.092462495],"study_design_scores_gemma":[0.000013514357,0.00033028136,0.0029161382,0.0000032505181,0.000018234408,0.000015407675,0.000012175369,0.9758386,0.020629432,0.000095529256,0.00011875493,0.000008726224],"about_ca_topic_score_codex":0.0043371036,"about_ca_topic_score_gemma":0.0042123585,"teacher_disagreement_score":0.0043371036,"about_ca_system_score_codex":0.00058242155,"about_ca_system_score_gemma":0.00030718613,"threshold_uncertainty_score":0.008623719},"labels":[],"label_agreement":null},{"id":"W4388792507","doi":"10.1016/j.renene.2023.119681","title":"Comparison of control strategies for efficient thermal energy storage to decarbonize residential buildings in cold climates: A focus on solar and biomass sources","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Ontario Tech University","funders":"","keywords":"Thermal energy storage; TRNSYS; Photovoltaic system; Process engineering; Environmental science; Automotive engineering; Boiler (water heating); Energy storage; Electricity; Thermal energy; Engineering; Waste management; Thermal; Electrical engineering; Meteorology; Power (physics)","score_opus":0.0187379711979234,"score_gpt":0.26383705179142614,"score_spread":0.24509908059350274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388792507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.779076,0.005980735,0.1584458,0.0007395226,0.00054998836,0.00051506684,0.00039649813,0.0005066641,0.053789657],"genre_scores_gemma":[0.9950482,0.00033303196,0.0035477434,0.000033627242,0.000012701728,0.000039939205,0.000042590986,0.000008218005,0.0009338804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997727,0.000046048146,0.000024176783,0.00003597908,0.000070317095,0.000050768205],"domain_scores_gemma":[0.9996137,0.0001664121,0.000046403515,0.00001885562,0.00013311216,0.00002154949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006371451,0.00066970685,0.0007240301,0.000519868,0.00034375078,0.00113034,0.0006137245,0.00054059917,0.00309938],"category_scores_gemma":[0.00085938774,0.00017542145,0.00044918247,0.0003363563,0.00024409035,0.0005646726,0.00031699915,0.00035457627,0.00019214029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006227166,0.0018632282,0.002849663,0.00208728,0.00054806506,0.00024751262,0.00024799368,0.64075214,0.05186119,0.015046349,0.0030996592,0.27516976],"study_design_scores_gemma":[0.0007364742,0.0033516926,0.008420957,0.00009993402,0.00047688905,0.00006663698,0.00056679983,0.94839513,0.030086685,0.0036006798,0.0041449955,0.000052977823],"about_ca_topic_score_codex":0.0041254726,"about_ca_topic_score_gemma":0.00626042,"teacher_disagreement_score":0.0041254726,"about_ca_system_score_codex":0.0005927379,"about_ca_system_score_gemma":0.0005229197,"threshold_uncertainty_score":0.010368466},"labels":[],"label_agreement":null},{"id":"W4388979433","doi":"10.1016/j.renene.2023.119698","title":"Flow and thermal behavior of solar air heater with grooved roughness","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":25,"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; National Institute of Technology Durgapur","keywords":"Pressure drop; Turbulence; Thermal; Surface finish; Materials science; Heat transfer; Range (aeronautics); Reynolds number; Thermal efficiency; Thermal conductivity; Exergy; Mechanics; Composite material; Meteorology; Thermodynamics; Chemistry; Physics; Combustion","score_opus":0.007927465184921153,"score_gpt":0.18189614787508432,"score_spread":0.17396868269016316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388979433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973901,0.00014143642,0.0010445098,0.000036905712,0.000016424738,0.000010881836,0.000071849296,0.00006612203,0.0012217421],"genre_scores_gemma":[0.99911445,0.000028929895,0.00019920323,0.000005144969,0.00000486388,0.0000028556103,0.0000407623,0.0000065086897,0.000597236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987054,0.000018108325,0.000005024622,0.00003383994,0.000037356116,0.000035176156],"domain_scores_gemma":[0.9996991,0.00015402342,0.000042812386,0.000019754332,0.000060919512,0.000023409684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019189439,0.00021809645,0.0003468311,0.00036065347,0.00042333113,0.00049614307,0.00027403526,0.0004331184,0.002371701],"category_scores_gemma":[0.00045268552,0.00016966068,0.0003309983,0.00020355133,0.0005359667,0.00055131584,0.00017134758,0.00026875458,0.00018407499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032216425,0.00048870145,0.01982468,0.00024776108,0.000058951377,0.0005528808,0.0005205808,0.105263874,0.84479326,0.0028427888,0.0013806385,0.020804362],"study_design_scores_gemma":[0.00012876563,0.0011512053,0.0509752,0.000022185111,0.00005581343,0.000126002,0.00037373882,0.56222874,0.38323164,0.00053392566,0.0011005809,0.00007212455],"about_ca_topic_score_codex":0.0027234748,"about_ca_topic_score_gemma":0.001272035,"teacher_disagreement_score":0.0027234748,"about_ca_system_score_codex":0.00037870483,"about_ca_system_score_gemma":0.0002184444,"threshold_uncertainty_score":0.0079340935},"labels":[],"label_agreement":null},{"id":"W4389159782","doi":"10.1016/j.renene.2023.119761","title":"Power generation mix and electricity price","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","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":"Polytechnique Montréal","funders":"","keywords":"Electricity; Electricity generation; Electricity market; Electricity retailing; Context (archaeology); Energy mix; Stand-alone power system; Renewable energy; Economics; Wind power; Natural resource economics; Business; Industrial organization; Power (physics); Engineering; Electrical engineering","score_opus":0.011703154669371777,"score_gpt":0.21741027478812242,"score_spread":0.20570712011875064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389159782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96011066,0.0003992826,0.0016395318,0.0010887963,0.00003557206,0.000011715059,0.0008063746,0.00003358132,0.03587445],"genre_scores_gemma":[0.99459547,0.000089422494,0.00010865693,0.000031067942,0.000021331885,0.000002977437,0.00018792022,0.0000105466725,0.0049527125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998155,0.00006250035,0.00000932241,0.000024860137,0.000035697958,0.00005202926],"domain_scores_gemma":[0.9974511,0.0017685704,0.000287983,0.000061875995,0.00015586687,0.00027452974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004613459,0.00012250638,0.00019068675,0.00037578092,0.00020546874,0.0018603916,0.0002631046,0.000480189,0.02352992],"category_scores_gemma":[0.0038329803,0.00025495587,0.00026233736,0.0005432304,0.00021930087,0.0015718994,0.0003882293,0.0007663928,0.0012479471],"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":[0.003040345,0.0009729122,0.70286745,0.00011367956,0.0007069024,0.0019271001,0.00031441922,0.1152873,0.0056117903,0.12274584,0.010477482,0.035934642],"study_design_scores_gemma":[0.0001875468,0.00048106813,0.6984834,0.000070599526,0.00038065456,0.0011586342,0.0027110775,0.18233941,0.0035303854,0.09381267,0.016761089,0.00008359511],"about_ca_topic_score_codex":0.003195518,"about_ca_topic_score_gemma":0.0061439825,"teacher_disagreement_score":0.02352992,"about_ca_system_score_codex":0.00062981556,"about_ca_system_score_gemma":0.00026647863,"threshold_uncertainty_score":0.07871544},"labels":[],"label_agreement":null},{"id":"W4389303341","doi":"10.1016/j.renene.2023.119766","title":"Green hydrogen production potential of Canada with solar energy","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen production; Renewable energy; Context (archaeology); Solar energy; Environmental science; Hydrogen; Geography; Chemistry; Engineering; Archaeology","score_opus":0.006327624715526506,"score_gpt":0.17594458671867153,"score_spread":0.16961696200314502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389303341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61579627,0.0048200716,0.0019793576,0.0047615278,0.0002889584,0.00008755667,0.0102536185,0.00021862872,0.36179402],"genre_scores_gemma":[0.96549034,0.0017638272,0.0010714453,0.00018891269,0.00001183719,0.000011678104,0.0014886714,0.000032959382,0.029940393],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996717,0.000012707058,0.0000032615662,0.000029147557,0.00017739678,0.00010585181],"domain_scores_gemma":[0.9996917,0.000014904561,0.000004971407,0.0000061803994,0.00023673046,0.00004558747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026790547,0.00030403415,0.00020433089,0.00075102935,0.0019999023,0.0017197587,0.00046910884,0.00038981135,0.007012168],"category_scores_gemma":[0.00037682088,0.00010922387,0.00041413883,0.0012830201,0.00041339768,0.0006692899,0.0004946091,0.00056559796,0.00048585204],"study_design_candidate":"simulation_or_modeling","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":[0.006711895,0.0007056406,0.116839334,0.0018312361,0.00048241674,0.0028656607,0.0016649386,0.07404927,0.09222306,0.15192339,0.1819468,0.36875632],"study_design_scores_gemma":[0.0004453462,0.0006090616,0.1767631,0.0004508963,0.00039179742,0.0003467791,0.008673339,0.044294544,0.11914239,0.018288232,0.6303055,0.0002890355],"about_ca_topic_score_codex":0.97477776,"about_ca_topic_score_gemma":0.9912798,"teacher_disagreement_score":0.028958794,"about_ca_system_score_codex":0.028958794,"about_ca_system_score_gemma":0.02689763,"threshold_uncertainty_score":0.21011174},"labels":[],"label_agreement":null},{"id":"W4389311454","doi":"10.1016/j.renene.2023.119773","title":"Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","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 Prince Edward Island","funders":"Department of Environment and Science, Queensland Government; Queensland Government","keywords":"Artificial neural network; Feed forward; Extreme learning machine; Feedforward neural network; Benchmark (surveying); Benchmarking; Mode (computer interface); Computer science; Renewable energy; Term (time); Artificial intelligence; Engineering; Control engineering","score_opus":0.018200331367084863,"score_gpt":0.2292037474475976,"score_spread":0.21100341608051276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389311454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12596396,0.0004235925,0.87004745,0.00016488001,0.00015408777,0.000027739514,0.0001996114,0.00045399705,0.0025646577],"genre_scores_gemma":[0.94681,0.00020934897,0.04987613,0.000038134734,0.000051750438,0.00004601845,0.00027801126,0.00004656067,0.0026439156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985456,0.000028701326,0.000009489294,0.00004306164,0.00004229856,0.000021758551],"domain_scores_gemma":[0.9997551,0.00011383507,0.000025786796,0.000024247749,0.00006680368,0.000014221982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043308287,0.0006023889,0.00071285316,0.00027900975,0.00025530273,0.0005306997,0.0010150259,0.00078252365,0.0013610785],"category_scores_gemma":[0.0009201058,0.0004960102,0.0007921869,0.00044160621,0.00020160417,0.0010225665,0.00047191713,0.0011100655,0.00027153103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007077532,0.00005114701,0.00080930267,0.00002895685,0.00005743943,0.000033918877,0.000020683774,0.9579281,0.0028239668,0.0016429089,0.00048815107,0.03604469],"study_design_scores_gemma":[5.87227e-7,0.0000017688822,0.00005614239,4.0869276e-7,0.0000012208948,7.220825e-7,3.335265e-7,0.99973327,0.00007764026,0.00011334598,0.00001377555,8.0719457e-7],"about_ca_topic_score_codex":0.009620031,"about_ca_topic_score_gemma":0.010744029,"teacher_disagreement_score":0.009620031,"about_ca_system_score_codex":0.00033804803,"about_ca_system_score_gemma":0.00047772704,"threshold_uncertainty_score":0.019128084},"labels":[],"label_agreement":null},{"id":"W4389504783","doi":"10.1016/j.renene.2023.119790","title":"Optimizing vertical ground heat exchanger modelling through GPU-accelerated computation strategies","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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 Laval","funders":"","keywords":"Fast Fourier transform; Computer science; Graphics processing unit; Central processing unit; Computational science; Parallel computing; Reduction (mathematics); Supercomputer; Computation; General-purpose computing on graphics processing units; Graphics; Computer hardware; Algorithm; Computer graphics (images)","score_opus":0.06064049465396107,"score_gpt":0.27455982355016084,"score_spread":0.21391932889619977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389504783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38238865,0.00037271198,0.5636165,0.0005978966,0.00023473718,0.000100266814,0.0006355341,0.0039820466,0.048071604],"genre_scores_gemma":[0.91084844,0.00007518631,0.08256749,0.00007714339,0.00002330014,0.000058886395,0.00036683108,0.000585362,0.0053974083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998859,0.000024914343,0.0000043996815,0.000016781725,0.00003587241,0.000032035252],"domain_scores_gemma":[0.99970764,0.00013742674,0.000020998837,0.000039302482,0.00006691529,0.000027732453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015468149,0.0006953832,0.0005682977,0.00027221118,0.00045496947,0.0008816654,0.0009159414,0.00070838083,0.00724368],"category_scores_gemma":[0.0010529185,0.00037625319,0.00045135623,0.000459859,0.0003516427,0.00071571517,0.00067981856,0.0007626663,0.00074053707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011214334,0.00006639408,0.001185068,0.000053898897,0.000022587317,0.00006579665,0.000053144806,0.9694857,0.0061705583,0.0037347297,0.0015201215,0.017529871],"study_design_scores_gemma":[0.000008153317,0.0000075787525,0.00008654592,0.0000018895184,0.0000017831892,0.0000036260058,0.000008768916,0.99838316,0.0007290397,0.00043782406,0.0003299961,0.0000015853223],"about_ca_topic_score_codex":0.013524997,"about_ca_topic_score_gemma":0.019991554,"teacher_disagreement_score":0.013524997,"about_ca_system_score_codex":0.00047211038,"about_ca_system_score_gemma":0.0013543107,"threshold_uncertainty_score":0.026892543},"labels":[],"label_agreement":null},{"id":"W4389888629","doi":"10.1016/j.renene.2023.119823","title":"Electrochemical corrosion study of carbon steel in bio-oil environments","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","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 Alberta","funders":"","keywords":"Corrosion; Dielectric spectroscopy; Electrochemistry; Materials science; Electrolyte; Carbon steel; Methanol; Polarization (electrochemistry); Metallurgy; Chemistry","score_opus":0.01404242035539124,"score_gpt":0.23553788660400196,"score_spread":0.22149546624861072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389888629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961377,0.00069781067,0.0008206215,0.000082542305,0.000029063882,0.000009178629,0.00022741398,0.000018401246,0.0019771762],"genre_scores_gemma":[0.9970239,0.00033484816,0.0005400854,0.000017413402,0.000011012059,0.0000036967303,0.0002365939,0.0000055172495,0.0018269419],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996519,0.000042319116,0.00001770295,0.000045381872,0.00017379304,0.00006885856],"domain_scores_gemma":[0.999676,0.000045617067,0.00002300265,0.000023195447,0.00020809734,0.000024183137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021057505,0.0002605034,0.0003162677,0.00026246242,0.00030000362,0.00025604476,0.000506071,0.00053700584,0.0014444737],"category_scores_gemma":[0.00038269648,0.00012215432,0.000286139,0.0004482002,0.00021853401,0.00023688514,0.0001497213,0.00046779646,0.00031194952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034783175,0.00007264305,0.0012995106,0.00010225435,0.000024267993,0.00021358719,0.00011636413,0.0003875445,0.9929395,0.0002049735,0.00018845803,0.004102951],"study_design_scores_gemma":[0.000012822548,0.0005264735,0.009049719,0.000008157709,0.000026652811,0.00022181266,0.00020239713,0.0038337104,0.98415273,0.000057599733,0.001896395,0.000011650727],"about_ca_topic_score_codex":0.006498938,"about_ca_topic_score_gemma":0.007395964,"teacher_disagreement_score":0.006498938,"about_ca_system_score_codex":0.00034498965,"about_ca_system_score_gemma":0.00026116043,"threshold_uncertainty_score":0.012922227},"labels":[],"label_agreement":null},{"id":"W4390032658","doi":"10.1016/j.renene.2023.119874","title":"A novel supercritical carbon dioxide combined cycle fueled by biomass: Thermodynamic assessment","year":2023,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":43,"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":"Biomass (ecology); Carbon dioxide; Supercritical carbon dioxide; Supercritical fluid; Turbine; Environmental science; Combustion; Electricity generation; Combined cycle; Renewable energy; Waste management; Rankine cycle; Chemistry; Thermodynamics; Power (physics); Engineering; Mechanical engineering; Ecology","score_opus":0.006297141944475842,"score_gpt":0.2098263861194661,"score_spread":0.20352924417499027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390032658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98773915,0.00068168546,0.0070087956,0.00006116316,0.00004075387,0.000054576794,0.0002600889,0.00006275613,0.0040910784],"genre_scores_gemma":[0.9959799,0.00027042287,0.0021882758,0.0000070974643,0.000004192267,0.00001656127,0.00012833202,0.000009245838,0.0013958967],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998702,0.0000072318935,0.000005379615,0.000016518203,0.00008944008,0.000011245877],"domain_scores_gemma":[0.99993014,0.00001870148,0.000005159029,0.000006336444,0.00003162143,0.0000081552735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021708403,0.00030047024,0.00036109178,0.0007334761,0.0006122347,0.00042459063,0.00042351396,0.00045523644,0.0014369129],"category_scores_gemma":[0.0003025742,0.0001266683,0.00025767946,0.00053386664,0.00033791838,0.0005673327,0.000217726,0.00026444503,0.00018542931],"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":[0.0012983211,0.0002550592,0.00449449,0.00037576177,0.000061662664,0.00033869073,0.000057154466,0.027669812,0.925941,0.0025506248,0.0003641442,0.036593247],"study_design_scores_gemma":[0.000042425352,0.0005663458,0.0037745137,0.00000793219,0.000045935434,0.00008568547,0.00005211703,0.09337098,0.8991596,0.00043021207,0.0024412207,0.000022942813],"about_ca_topic_score_codex":0.0067146514,"about_ca_topic_score_gemma":0.019441975,"teacher_disagreement_score":0.0067146514,"about_ca_system_score_codex":0.00067477836,"about_ca_system_score_gemma":0.0006939608,"threshold_uncertainty_score":0.013351142},"labels":[],"label_agreement":null},{"id":"W4390705117","doi":"10.1016/j.renene.2024.119990","title":"Assessment of annual performance of quonset GiPVT system combined with an earth-air heat exchanger (EAHE) for hot and dry climatic conditions","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Heat Transfer and Optimization","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":"Concordia University","funders":"","keywords":"Heat exchanger; Greenhouse; Environmental science; Energy balance; Thermal; Greenhouse gas; Atmospheric sciences; Air temperature; Meteorology; Nuclear engineering; Materials science; Botany; Thermodynamics; Physics; Engineering; Biology; Ecology","score_opus":0.007354412831253459,"score_gpt":0.22373303147057622,"score_spread":0.21637861863932276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390705117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773204,0.00007310953,0.0011150981,0.0000114675095,0.0000070223,0.000008076762,0.00017941832,0.000060294802,0.00081337884],"genre_scores_gemma":[0.99905735,0.000025215688,0.00032169605,0.0000026763832,0.0000014125113,0.000005214053,0.00011861088,0.000004091632,0.0004637391],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998981,0.000018078645,0.0000054985726,0.00002417066,0.000026540936,0.00002755894],"domain_scores_gemma":[0.9998592,0.00003773038,0.000015732112,0.000013216169,0.000053070824,0.000021049966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038618306,0.0002926959,0.00042280945,0.00023118618,0.0003395131,0.0003498898,0.0002721253,0.00032029246,0.0011067864],"category_scores_gemma":[0.000203702,0.00011444801,0.0003649296,0.00023196625,0.00014636107,0.00033020249,0.00019247088,0.00017795389,0.00021145951],"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":[0.0048787347,0.00085937453,0.046579413,0.0006670157,0.00023654694,0.0004082097,0.00023516318,0.3323013,0.54674405,0.00047944885,0.001560872,0.0650498],"study_design_scores_gemma":[0.00015045989,0.008295327,0.23423108,0.000018168252,0.00033087924,0.00017814785,0.00042493877,0.42735147,0.3253315,0.00029658663,0.0033169326,0.0000744485],"about_ca_topic_score_codex":0.0029036037,"about_ca_topic_score_gemma":0.0036477142,"teacher_disagreement_score":0.0029036037,"about_ca_system_score_codex":0.00030424877,"about_ca_system_score_gemma":0.00021183971,"threshold_uncertainty_score":0.0057733655},"labels":[],"label_agreement":null},{"id":"W4390755671","doi":"10.1016/j.renene.2024.120005","title":"Experimental evaluation of performance, drying and thermal parameters of guava slabs dried in a forced convection indirect solar dryer without and with thermal energy storage","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":26,"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; National Institute of Technology Warangal","keywords":"Thermal diffusivity; Solar dryer; Forced convection; Water content; Moisture; Thermal; Thermal energy storage; Materials science; Convection; Thermodynamics; Environmental science; Mathematics; Horticulture; Composite material; Physics; Engineering; Geotechnical engineering","score_opus":0.0256695054043244,"score_gpt":0.2287073283362249,"score_spread":0.2030378229319005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390755671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998884,0.000051841427,0.0006497441,0.0000049151354,0.000004486987,0.0000045255747,0.00010067316,0.000020753732,0.00027901924],"genre_scores_gemma":[0.9983834,0.000058111735,0.0008836101,0.000004726535,0.0000018535449,0.000009602791,0.00011107008,0.00001328978,0.000534435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988735,0.000009037919,0.000008402643,0.000033889268,0.000036540132,0.000024739857],"domain_scores_gemma":[0.999796,0.000057106932,0.000021124368,0.000035416826,0.000072743554,0.000017743008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019115316,0.00027680636,0.00044529972,0.00015997949,0.00039393854,0.00022967243,0.00028056785,0.0003081732,0.0013175714],"category_scores_gemma":[0.000356989,0.00016331593,0.0002962109,0.00024695136,0.00024409151,0.00025736075,0.00019545728,0.00030531164,0.00023747695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005869051,0.00006981972,0.001329594,0.00007974559,0.000011770273,0.00004396349,0.00010351289,0.0017546329,0.9931573,0.000050878014,0.000050343617,0.0027616024],"study_design_scores_gemma":[0.000020289517,0.0005252352,0.012043846,0.000005119495,0.000034654728,0.000046796493,0.00008341366,0.004366489,0.98238105,0.000025261646,0.00045609748,0.00001171501],"about_ca_topic_score_codex":0.0017309817,"about_ca_topic_score_gemma":0.0025326612,"teacher_disagreement_score":0.0017309817,"about_ca_system_score_codex":0.00020904347,"about_ca_system_score_gemma":0.00021402852,"threshold_uncertainty_score":0.004407704},"labels":[],"label_agreement":null},{"id":"W4392189984","doi":"10.1016/j.renene.2024.120237","title":"Development of a prediction-based scheduling control strategy with V2B mode for PV-building-EV integrated systems","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"National Key Research and Development Program of China","keywords":"Photovoltaic system; Renewable energy; Automotive engineering; Cost of electricity by source; Schedule; Scheduling (production processes); Energy consumption; Computer science; Reliability engineering; Engineering; Electricity generation; Power (physics); Electrical engineering; Operations management","score_opus":0.005684929917415801,"score_gpt":0.19917904654655091,"score_spread":0.19349411662913513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392189984","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03916635,0.00023695393,0.9498451,0.00014187378,0.00014624714,0.00011481512,0.000056119738,0.0009740492,0.009318474],"genre_scores_gemma":[0.93475896,0.000089133064,0.06275373,0.000048719467,0.000026661643,0.0000778143,0.0000615449,0.000028595501,0.0021549005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987435,0.000016632337,0.000006895829,0.000028474895,0.00005442005,0.000019133811],"domain_scores_gemma":[0.9998766,0.000018497652,0.000016678536,0.000012263348,0.00006415964,0.000011759999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020681335,0.00040893155,0.0003683434,0.00019747007,0.0003404261,0.00046473125,0.00058993284,0.0002516089,0.0016663333],"category_scores_gemma":[0.0002882671,0.00018049568,0.00022988756,0.00017162766,0.0001394962,0.00030121912,0.00032229637,0.00040249116,0.00033677442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024516514,0.00021840556,0.0015797863,0.00018950124,0.000066615656,0.00017792641,0.0001057844,0.589876,0.067375906,0.007804577,0.0032344826,0.32912594],"study_design_scores_gemma":[0.00001811092,0.00008802033,0.0003890371,0.000005901872,0.0000090711865,0.000024838924,0.000008321601,0.9933611,0.00433511,0.00049612235,0.0012584076,0.000005806821],"about_ca_topic_score_codex":0.008360157,"about_ca_topic_score_gemma":0.0086450605,"teacher_disagreement_score":0.008360157,"about_ca_system_score_codex":0.00027237993,"about_ca_system_score_gemma":0.00092073466,"threshold_uncertainty_score":0.01662296},"labels":[],"label_agreement":null},{"id":"W4392374398","doi":"10.1016/j.renene.2024.120257","title":"Potential way to plan China's power system (2021–2050) for climate change mitigation","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Water resources management and optimization","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 Toronto; University of Regina","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Renewable energy; Environmental science; Climate change; Climate change mitigation; Fossil fuel; Energy planning; Environmental economics; Environmental engineering; Waste management; Engineering; Economics; Ecology","score_opus":0.005918304026074622,"score_gpt":0.18021411517872366,"score_spread":0.17429581115264903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392374398","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":[0.32789928,0.034741078,0.12155968,0.14818399,0.00934679,0.0010693241,0.016708896,0.0027201038,0.3377709],"genre_scores_gemma":[0.9156798,0.007990262,0.038410153,0.0038647023,0.0002904836,0.00044025513,0.0043890714,0.00008108806,0.028854178],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999814,0.000043459324,0.0000076040747,0.000024284402,0.000064823034,0.000045881883],"domain_scores_gemma":[0.99973685,0.000015767646,0.00002339713,0.000013198001,0.00012535739,0.00008540076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067701354,0.000678983,0.0002493844,0.0006929847,0.00064872124,0.0013149544,0.0005820523,0.0010674231,0.011251848],"category_scores_gemma":[0.0007302858,0.0001989897,0.00043754396,0.000655812,0.0003264607,0.0011013246,0.00085357093,0.000793967,0.0006911831],"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":[0.00041553366,0.0003300527,0.023665505,0.0015961773,0.0005720387,0.00091302965,0.00047729438,0.15272157,0.0119208405,0.19582468,0.28714725,0.324416],"study_design_scores_gemma":[0.00034205636,0.000614257,0.04822155,0.0008919042,0.0007107087,0.0002794761,0.0027388441,0.20671034,0.0076031783,0.14210486,0.589587,0.00019587761],"about_ca_topic_score_codex":0.04322333,"about_ca_topic_score_gemma":0.09147721,"teacher_disagreement_score":0.04322333,"about_ca_system_score_codex":0.0018851712,"about_ca_system_score_gemma":0.015176529,"threshold_uncertainty_score":0.08594346},"labels":[],"label_agreement":null},{"id":"W4392516517","doi":"10.1016/j.renene.2024.120289","title":"Efficient ethanol production from masson pine sawdust by various organosolv pretreatment and modified pre-hydrolysis simultaneous saccharification and fermentation","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","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 Calgary","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Organosolv; Hydrolysis; Pulp and paper industry; Fermentation; Chemistry; Sawdust; Ethanol fuel; Ethanol; Food science; Biochemistry; Organic chemistry; Engineering","score_opus":0.005625748703816231,"score_gpt":0.19310428776504093,"score_spread":0.1874785390612247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392516517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964972,0.0006974756,0.0016950598,0.000017145048,0.000020044421,0.000006879633,0.000098799945,0.000023392817,0.0009438793],"genre_scores_gemma":[0.9974517,0.0003035594,0.00077208766,0.000006994332,0.0000029707771,0.000002756961,0.00010788345,0.000006289105,0.0013456674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999447,0.0000035569333,0.000004556977,0.000011883034,0.000015411688,0.000019988325],"domain_scores_gemma":[0.9999832,0.000001967348,0.000003547652,0.0000021590197,0.0000049470814,0.000004244352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068690126,0.00035063794,0.000191235,0.00015750022,0.0001377141,0.00027488993,0.00010631547,0.00013475188,0.00046363217],"category_scores_gemma":[0.000054732158,0.00010662635,0.00019353806,0.00019144683,0.000067322515,0.00021369164,0.00012803078,0.00026322302,0.00012799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006870947,0.000019248899,0.00020372862,0.0000218692,0.000003410839,0.000051152856,0.000009788545,0.00013379936,0.9966472,0.000039348684,0.00001570847,0.0027860997],"study_design_scores_gemma":[0.0000023157313,0.00006638802,0.001928255,0.0000018777363,0.0000075588746,0.000020437692,0.000013913336,0.00040687495,0.99708444,0.000012342507,0.00045298328,0.0000026079385],"about_ca_topic_score_codex":0.0009989908,"about_ca_topic_score_gemma":0.0035081194,"teacher_disagreement_score":0.0009989908,"about_ca_system_score_codex":0.00012798207,"about_ca_system_score_gemma":0.00019229752,"threshold_uncertainty_score":0.0019863248},"labels":[],"label_agreement":null},{"id":"W4392714493","doi":"10.1016/j.renene.2024.120315","title":"Field observations of the wake from a full-scale tidal turbine array","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":20,"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 Resources Canada; Agencia Nacional de Investigación y Desarrollo; Mitacs","keywords":"Wake; Turbulence; Turbulence kinetic energy; Tidal power; Geology; Turbine; Meteorology; Environmental science; Flood myth; Dissipation; Mechanics; Marine engineering; Physics; Aerospace engineering; Engineering; Geography","score_opus":0.011755706481421838,"score_gpt":0.1998079480449788,"score_spread":0.188052241563557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392714493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952063,0.00006273592,0.00152989,0.000070578346,0.000026483875,0.000020189358,0.0007546594,0.00015811175,0.0021710305],"genre_scores_gemma":[0.99725866,0.00004055124,0.001290082,0.0000329856,0.00002259687,0.000010889101,0.0008070948,0.000013885516,0.00052322145],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999373,0.0000057783764,0.0000029240298,0.00001466138,0.000021956026,0.0000173555],"domain_scores_gemma":[0.99973255,0.00005206912,0.000032548556,0.000031461663,0.00007000775,0.00008136716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016752491,0.00018257974,0.00027307705,0.00045483178,0.00037486156,0.0002023263,0.00022950431,0.00038294954,0.0008433886],"category_scores_gemma":[0.0003307292,0.00021794056,0.00017572816,0.00035643912,0.00023340787,0.00032787892,0.00031080274,0.00047392838,0.00026544332],"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":[0.0022700238,0.0009940482,0.2286467,0.0001669507,0.00017083321,0.0012554448,0.00066176977,0.025498321,0.6885398,0.0006521714,0.007734781,0.043409154],"study_design_scores_gemma":[0.0002621725,0.00064217055,0.93545526,0.000015536934,0.00006582376,0.00039133956,0.00026410382,0.045264136,0.014297558,0.0004645907,0.002827269,0.000050111048],"about_ca_topic_score_codex":0.0024713909,"about_ca_topic_score_gemma":0.006438899,"teacher_disagreement_score":0.0024713909,"about_ca_system_score_codex":0.00014858056,"about_ca_system_score_gemma":0.00025924126,"threshold_uncertainty_score":0.0049139857},"labels":[],"label_agreement":null},{"id":"W4392877103","doi":"10.1016/j.renene.2024.120339","title":"Pilot-scale pyrolysis and activation of typical biomass chips in an interconnected dual fluidized bed: Comparison and analysis of products","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexterra (Canada)","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Char; Pyrolysis; Biochar; Biomass (ecology); Fluidized bed; Pulp and paper industry; Heat of combustion; Materials science; Waste management; Activated carbon; Flue gas; Chemistry; Adsorption; Organic chemistry","score_opus":0.013502284358723663,"score_gpt":0.2287853916470688,"score_spread":0.21528310728834513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392877103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985567,0.000085158514,0.00086394785,0.00000769794,0.000008056562,0.000012249611,0.000104604915,0.000016850576,0.00034462666],"genre_scores_gemma":[0.9980673,0.00014949421,0.0012532243,0.0000063827547,0.00000373869,0.000016565207,0.0001302013,0.000007906207,0.00036528934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999021,0.000014649613,0.000006720233,0.000019003297,0.00003155788,0.000025951998],"domain_scores_gemma":[0.99990666,0.000040073057,0.000008575624,0.000010618454,0.00001962016,0.000014412164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018361029,0.00030125788,0.00035549622,0.00030996028,0.00036617462,0.00034190714,0.00027928522,0.00029652452,0.0009671841],"category_scores_gemma":[0.0002864679,0.00017489001,0.00035016492,0.00031884044,0.0002931145,0.00033748968,0.00021024822,0.0003815759,0.00017597698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011180168,0.00023771907,0.0014260893,0.00011595197,0.000023729133,0.00009043965,0.000048216265,0.0012162062,0.9914069,0.000088777124,0.000048050326,0.00417985],"study_design_scores_gemma":[0.00005077094,0.00092409365,0.006116029,0.0000040595005,0.00003778622,0.00007227362,0.00004804091,0.0027774705,0.9895504,0.000038616723,0.00037138173,0.000009192855],"about_ca_topic_score_codex":0.0018471974,"about_ca_topic_score_gemma":0.0024283645,"teacher_disagreement_score":0.0018471974,"about_ca_system_score_codex":0.0002132079,"about_ca_system_score_gemma":0.00025266205,"threshold_uncertainty_score":0.0036728978},"labels":[],"label_agreement":null},{"id":"W4393187641","doi":"10.1016/j.renene.2024.120391","title":"Energy, exergy, economic, and environmental (4E) analysis of SAHP water heaters in very cold climatic conditions","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":10,"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":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Exergy; Environmental science; Cold climate; Environmental analysis; Energy (signal processing); Environmental engineering; Waste management; Engineering; Meteorology; Chemistry; Physics","score_opus":0.007454141929547276,"score_gpt":0.20316229393149965,"score_spread":0.19570815200195238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393187641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887123,0.00036337893,0.0038561875,0.00007493744,0.000016002296,0.00002285236,0.0008971789,0.000020615149,0.006036546],"genre_scores_gemma":[0.99796534,0.000095746655,0.00037877978,0.000005177767,0.0000041058065,0.00001026458,0.0003060806,0.000010661398,0.0012237836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999145,0.00001857079,0.0000045872393,0.000010583729,0.000019734918,0.0000319679],"domain_scores_gemma":[0.9998721,0.000082108025,0.0000071379936,0.000004712844,0.000024109506,0.000009803021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024974658,0.0003784764,0.00046473485,0.0012321931,0.00055049674,0.00068386825,0.00035976374,0.000468743,0.00339017],"category_scores_gemma":[0.00039625302,0.00025433456,0.0008248306,0.0012219249,0.0003481574,0.00073361094,0.00037668314,0.00034692136,0.00022214402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046299904,0.000106401654,0.03577244,0.00018656308,0.00017149518,0.0005649777,0.00011150075,0.9205866,0.018354274,0.005524364,0.0006276507,0.017530752],"study_design_scores_gemma":[0.00003828928,0.00019843967,0.11682694,0.000022440861,0.00008956771,0.00011619078,0.00078058225,0.86251855,0.011377396,0.0054972647,0.0024893,0.000045043744],"about_ca_topic_score_codex":0.022839684,"about_ca_topic_score_gemma":0.020387959,"teacher_disagreement_score":0.022839684,"about_ca_system_score_codex":0.0009405406,"about_ca_system_score_gemma":0.00040143053,"threshold_uncertainty_score":0.045413494},"labels":[],"label_agreement":null},{"id":"W4396653188","doi":"10.1016/j.renene.2024.120613","title":"ZIF-8 derived iron-, sulphur-, and nitrogen-doped catalysts for anion-exchange membrane fuel cell application","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electrocatalysts for Energy Conversion","field":"Energy","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":"Simon Fraser University","funders":"European Regional Development Fund; Eesti Teadusagentuur; European Commission","keywords":"Thiourea; Pyrolysis; Catalysis; Inorganic chemistry; Sulfur; Chemistry; Carbon fibers; Ion exchange; Carbon black; Materials science; Chemical engineering; Organic chemistry; Ion; Composite number; Composite material","score_opus":0.007341405764447133,"score_gpt":0.21164891702432484,"score_spread":0.2043075112598777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396653188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982502,0.0038402267,0.006593919,0.00021837432,0.00014573011,0.000034566172,0.00029916485,0.00017841253,0.006187603],"genre_scores_gemma":[0.99172837,0.001190206,0.0029501838,0.00004324836,0.000015680049,0.0000132896785,0.0002476408,0.000016812004,0.0037944564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999368,0.0000041952694,0.0000039455776,0.000011244524,0.000029406412,0.0000143237785],"domain_scores_gemma":[0.99998176,0.000001963967,0.0000039067013,0.0000013682511,0.000007111698,0.000003815493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008471606,0.00028435225,0.00022231184,0.00026181413,0.00010910635,0.00025391518,0.0004381368,0.0004297704,0.0008552717],"category_scores_gemma":[0.00010208244,0.00011905638,0.00019204796,0.00016226893,0.00010577699,0.00030382903,0.000198378,0.0003549786,0.00031959458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005658595,0.0000122545625,0.000079805985,0.00008279727,0.000005907479,0.00005114455,0.000010543762,0.00010581582,0.9961319,0.000254625,0.00014415661,0.0030643553],"study_design_scores_gemma":[0.000011641791,0.000058785292,0.00039979813,0.000004318577,0.0000114711875,0.00005842469,0.000012515908,0.0015692719,0.99525756,0.000041482683,0.002570657,0.0000040165173],"about_ca_topic_score_codex":0.0005857467,"about_ca_topic_score_gemma":0.0019346137,"teacher_disagreement_score":0.0008552717,"about_ca_system_score_codex":0.00031285762,"about_ca_system_score_gemma":0.000103317456,"threshold_uncertainty_score":0.0028611422},"labels":[],"label_agreement":null},{"id":"W4396978902","doi":"10.1016/j.renene.2024.120663","title":"DC electric field assisted heat extraction evaluation via water circulation in abandoned production well patterns: Semi-analytical and numerical models","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","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 Calgary","funders":"Education Department of Shaanxi Province; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Circulation (fluid dynamics); Extraction (chemistry); Environmental science; Production (economics); Electric field; Field (mathematics); Petroleum engineering; Mechanics; Environmental engineering; Engineering; Chemistry; Physics; Chromatography; Mathematics; Economics","score_opus":0.02348978965660871,"score_gpt":0.26211336066961,"score_spread":0.2386235710130013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396978902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8350774,0.00034284103,0.15152691,0.00020170082,0.000040181552,0.00006812693,0.0003625131,0.00029917617,0.012081051],"genre_scores_gemma":[0.9958639,0.00007651895,0.0023179115,0.00000699986,0.000003964346,0.000013689294,0.000039583603,0.000013447878,0.0016640157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999342,0.000016879101,0.0000034438829,0.000016832259,0.0000141049795,0.000014557052],"domain_scores_gemma":[0.9996582,0.00019025108,0.00003280021,0.000023074,0.000077761724,0.00001790853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021229201,0.00031116148,0.00043164796,0.00035718238,0.00029007095,0.00067332946,0.0005482832,0.0007165912,0.0009821932],"category_scores_gemma":[0.0008414276,0.00027384225,0.00045201046,0.00056330126,0.0006689076,0.00075827684,0.00031809747,0.00032647312,0.00010951569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004343129,0.000026396829,0.0012344909,0.000021889166,0.0000058755213,0.000049182192,0.000020580625,0.9927539,0.0019265269,0.0007869688,0.00010042701,0.003030387],"study_design_scores_gemma":[0.0000028737093,0.0000037064285,0.00017293778,9.91371e-7,0.0000011360935,0.0000023595965,0.00000521353,0.999426,0.0002619306,0.00009365387,0.000027329295,0.0000018354681],"about_ca_topic_score_codex":0.027125036,"about_ca_topic_score_gemma":0.014336342,"teacher_disagreement_score":0.027125036,"about_ca_system_score_codex":0.0008430833,"about_ca_system_score_gemma":0.000614914,"threshold_uncertainty_score":0.053934276},"labels":[],"label_agreement":null},{"id":"W4399328302","doi":"10.1016/j.renene.2024.120759","title":"Ethanol production from the wood and fruit juice of paper mulberry via simultaneous saccharification and juice co-fermentation under normal and very high gravity conditions","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","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 Calgary","funders":"Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Fermentation; Chemistry; Food science; Sugar; Ethanol fuel; Hydrolysis; Raw material; Specific gravity; Ethanol fermentation; Ethanol; Reducing sugar; Yield (engineering); Phosphoric acid; Pulp and paper industry; Biochemistry; Materials science; Organic chemistry","score_opus":0.007991974265630048,"score_gpt":0.21249686368406073,"score_spread":0.20450488941843067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399328302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977391,0.00036528052,0.0008105443,0.000024876788,0.000014652984,0.000009717978,0.00009550044,0.000021283724,0.0009189945],"genre_scores_gemma":[0.99665207,0.0003600947,0.0012155719,0.00000972623,0.000005665755,0.0000057464217,0.00018632057,0.000014187728,0.0015506761],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999449,0.000007007503,0.000004276559,0.000013869564,0.000011239544,0.00001871701],"domain_scores_gemma":[0.9999759,0.000003548357,0.000003345628,0.0000027914662,0.0000053151452,0.000009058809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008840967,0.00041395176,0.00025491623,0.0001713814,0.00020551283,0.00034647735,0.00014825222,0.00017206122,0.00068085373],"category_scores_gemma":[0.000080236685,0.00009964693,0.0002547447,0.0001782407,0.00010092887,0.00039324182,0.00028564918,0.0002543748,0.00023294141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010348101,0.000034677236,0.00029328215,0.00004053778,0.0000065308336,0.000103369355,0.000025448124,0.00012242213,0.99586236,0.00003672394,0.00003381078,0.003337259],"study_design_scores_gemma":[0.000005154833,0.00016952795,0.0026781107,0.000003682258,0.000014606049,0.000049383787,0.000039524475,0.00067543355,0.9957837,0.0000144408,0.0005617751,0.0000047672684],"about_ca_topic_score_codex":0.00072095514,"about_ca_topic_score_gemma":0.0017205618,"teacher_disagreement_score":0.00072095514,"about_ca_system_score_codex":0.00011580974,"about_ca_system_score_gemma":0.00020244093,"threshold_uncertainty_score":0.002277732},"labels":[],"label_agreement":null},{"id":"W4399557621","doi":"10.1016/j.renene.2024.120790","title":"Influence of geometric design variables on the performance of a novel V-shaped cavity receiver","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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; Université de Sherbrooke","funders":"","keywords":"Mathematics","score_opus":0.027512401727117254,"score_gpt":0.2233293313600578,"score_spread":0.19581692963294056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399557621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90563637,0.0005589473,0.08589367,0.00020405088,0.00008783103,0.00002626158,0.00006263808,0.00063989265,0.0068902755],"genre_scores_gemma":[0.987723,0.00012948649,0.010819379,0.000045851226,0.000027405742,0.000009091204,0.000031737116,0.00006361606,0.0011504171],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956554,0.00010021272,0.00001541384,0.00010288656,0.00013034839,0.0000856596],"domain_scores_gemma":[0.9985405,0.00056972733,0.00041958046,0.00010999154,0.0003136037,0.00004656371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043289797,0.0006043337,0.00041170893,0.00017900458,0.00028102484,0.000844265,0.00073363056,0.00091987354,0.0014093475],"category_scores_gemma":[0.0015329111,0.00022959382,0.00032472707,0.00023501906,0.00031460318,0.00043930323,0.0003586067,0.00028610352,0.0007888062],"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":[0.00071149034,0.000058791316,0.001674594,0.00013962865,0.00006567214,0.00019133922,0.00007486409,0.02747359,0.952114,0.001280287,0.00030367996,0.01591196],"study_design_scores_gemma":[0.00006900069,0.0022539326,0.0037497021,0.000028113807,0.00021629088,0.0008979263,0.0000763468,0.13782443,0.85183215,0.00026786284,0.0027275681,0.000056780238],"about_ca_topic_score_codex":0.00029503193,"about_ca_topic_score_gemma":0.00036783214,"teacher_disagreement_score":0.0014093475,"about_ca_system_score_codex":0.0003294855,"about_ca_system_score_gemma":0.00038755036,"threshold_uncertainty_score":0.0047147274},"labels":[],"label_agreement":null},{"id":"W4399956625","doi":"10.1016/j.renene.2024.120861","title":"Improving municipal solid waste management in Algeria and exploring energy recovery options","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":18,"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":"University of Tlemcen; Department of Mechanical Engineering, University of Alberta; Universität zu Köln","keywords":"Municipal solid waste; Waste management; Solid waste management; Environmental science; Waste-to-energy; Business; Energy recovery; Environmental planning; Environmental economics; Energy (signal processing); Engineering; Economics","score_opus":0.020434428741825394,"score_gpt":0.2293227883755949,"score_spread":0.2088883596337695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399956625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624495,0.01220059,0.004623739,0.005844859,0.00009507575,0.000038015016,0.0005193627,0.00011852619,0.014110204],"genre_scores_gemma":[0.984221,0.00610961,0.00557063,0.00028803895,0.00001890129,0.0000119018905,0.00022941243,0.000017450238,0.0035331363],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995426,0.00010945564,0.00003772951,0.00003729884,0.00012548841,0.00014739759],"domain_scores_gemma":[0.99981564,0.000011591919,0.000054609052,0.000016664926,0.00008334084,0.000018277826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007755188,0.0004972078,0.0002800753,0.00083671836,0.0007171469,0.0018264392,0.0004148795,0.0006793471,0.0013448974],"category_scores_gemma":[0.0004205143,0.00009371282,0.0004642814,0.0017746312,0.000429124,0.00077721226,0.00071616715,0.00033170497,0.00025821905],"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":[0.0012885696,0.0007208429,0.06037481,0.0032725504,0.00047500173,0.0012777873,0.0012045155,0.0469904,0.3316415,0.023766123,0.0052649425,0.523723],"study_design_scores_gemma":[0.00008561701,0.00102104,0.30122432,0.00087680976,0.00069787336,0.001327518,0.013976534,0.027153635,0.35772407,0.011745191,0.2840236,0.00014379121],"about_ca_topic_score_codex":0.048183776,"about_ca_topic_score_gemma":0.07457741,"teacher_disagreement_score":0.048183776,"about_ca_system_score_codex":0.0031799416,"about_ca_system_score_gemma":0.003923161,"threshold_uncertainty_score":0.0958066},"labels":[],"label_agreement":null},{"id":"W4399980113","doi":"10.1016/j.renene.2024.120860","title":"Thermal performance of two-independent-circuit borehole heat exchanger in solar-assisted ground source heat pump system","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":10,"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 Science Foundation of Shandong Province; National Natural Science Foundation of China; Ministry of Natural Resources of the People's Republic of China; Ministry of Natural Resources","keywords":"Heat pump; Borehole; Heat exchanger; Thermal; Nuclear engineering; Environmental science; Thermodynamics; Petroleum engineering; Materials science; Mechanics; Engineering; Physics; Geotechnical engineering","score_opus":0.01619621281469436,"score_gpt":0.22003076119420717,"score_spread":0.20383454837951281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399980113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971156,0.00008363116,0.0017506239,0.000025891548,0.0000231083,0.0000094001025,0.000058852984,0.000110616136,0.0008223473],"genre_scores_gemma":[0.9989116,0.000019229134,0.00023587735,0.000004166789,0.0000022481809,0.0000057911743,0.00003220977,0.0000069791504,0.00078191975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997347,0.000043364387,0.000013871608,0.000069360096,0.00008073983,0.000058081554],"domain_scores_gemma":[0.9997681,0.000067424626,0.000028066914,0.000025154026,0.00008666441,0.000024724312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031179102,0.0004072993,0.0005589166,0.00024434974,0.00059850217,0.00042911028,0.00072040403,0.00037799863,0.004447248],"category_scores_gemma":[0.00034217042,0.00027489412,0.00039454005,0.000233342,0.00031919597,0.00081662484,0.00036610724,0.0003493212,0.00033857007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005228637,0.00050710974,0.008669575,0.00062443415,0.00010281936,0.00026141637,0.0005050701,0.03500344,0.9103544,0.0005733179,0.0018340575,0.036335893],"study_design_scores_gemma":[0.0002524783,0.0037238277,0.05240498,0.000029372479,0.00015536649,0.00014743862,0.00045645854,0.18200272,0.7584614,0.00015929392,0.0021178834,0.00008885307],"about_ca_topic_score_codex":0.0016587955,"about_ca_topic_score_gemma":0.0023775545,"teacher_disagreement_score":0.004447248,"about_ca_system_score_codex":0.00033118422,"about_ca_system_score_gemma":0.00035262175,"threshold_uncertainty_score":0.014877558},"labels":[],"label_agreement":null},{"id":"W4399998576","doi":"10.1016/j.renene.2024.120874","title":"Techno-economic and environmental study of a hybrid solar ground source heat pumps for a heating-dominated community in a cold climate; a case study in Toronto","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Environmental science; Heat pump; Cold climate; Meteorology; Environmental engineering; Climatology; Engineering; Geography; Heat exchanger; Geology; Mechanical engineering","score_opus":0.012103647106858392,"score_gpt":0.24473985762034256,"score_spread":0.23263621051348415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399998576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970795,0.000027524346,0.0002874321,0.00007513612,0.000002472971,0.000037082977,0.000086730666,0.0000062401186,0.0023979568],"genre_scores_gemma":[0.99834096,0.00004256184,0.00023777221,0.0000048541388,0.0000016514085,0.0000089894465,0.000035039375,0.0000023767834,0.0013257659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99964106,0.00010286372,0.000008185292,0.00003362996,0.000062844614,0.00015144824],"domain_scores_gemma":[0.9996088,0.00014597175,0.0000311836,0.0000143877,0.00006949237,0.00013021374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036633227,0.00035262146,0.0002180528,0.00055661675,0.0026782942,0.0012663872,0.000698645,0.0006982227,0.0023661398],"category_scores_gemma":[0.0006323948,0.00022827889,0.0004377682,0.0009237094,0.0011239402,0.00054837915,0.0006350402,0.00054474524,0.00011135473],"study_design_candidate":"observational","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":[0.003721244,0.0046012052,0.36063308,0.00076470146,0.0005639969,0.055401694,0.021962324,0.40226483,0.055598196,0.019549754,0.0071151424,0.06782381],"study_design_scores_gemma":[0.00035941703,0.0025476995,0.55984837,0.000093378585,0.0002675779,0.0017186012,0.12328655,0.2869607,0.011639361,0.001541678,0.011531173,0.00020544966],"about_ca_topic_score_codex":0.6196183,"about_ca_topic_score_gemma":0.7999755,"teacher_disagreement_score":0.3803817,"about_ca_system_score_codex":0.012858529,"about_ca_system_score_gemma":0.0037492446,"threshold_uncertainty_score":0.76524365},"labels":[],"label_agreement":null},{"id":"W4400310103","doi":"10.1016/j.renene.2024.120913","title":"Impacts of hard marine growth on 2DoF VIV-based piezoelectric energy harvesting","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fluid Dynamics and Vibration Analysis","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":"Université de Sherbrooke","funders":"","keywords":"Energy harvesting; Reynolds number; Vibration; Towing; Piezoelectricity; Marine energy; Mechanics; Oscillation (cell signaling); Vortex shedding; Vortex-induced vibration; Power (physics); Renewable energy; Materials science; Acoustics; Environmental science; Control theory (sociology); Engineering; Marine engineering; Turbulence; Physics; Computer science; Electrical engineering; Chemistry","score_opus":0.005833170362547381,"score_gpt":0.1893167533286157,"score_spread":0.18348358296606831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400310103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98146194,0.00013809501,0.0059315874,0.00013176678,0.00003320168,0.000006927169,0.0001034061,0.00010433715,0.012088742],"genre_scores_gemma":[0.9981654,0.00006156407,0.00029549593,0.000016621909,0.0000019145928,0.0000034468947,0.000029923574,0.000010569862,0.0014150185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999119,0.0000054827724,0.0000010656273,0.000012274417,0.00003769036,0.00003160608],"domain_scores_gemma":[0.9998679,0.00006542807,0.000011218867,0.000008875777,0.000029112685,0.000017429664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012724708,0.00020487403,0.00019712206,0.00011096234,0.00025442356,0.00043262838,0.00023775495,0.0003425244,0.0041393167],"category_scores_gemma":[0.00029234367,0.0000707673,0.000148463,0.000169325,0.00032748282,0.00040035433,0.0005687442,0.00029601413,0.0004956016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005776313,0.00008241806,0.0038954474,0.00012210329,0.000013502711,0.00041797507,0.00016997171,0.031904336,0.9334099,0.0021588623,0.0007308538,0.02651714],"study_design_scores_gemma":[0.00003620221,0.000818456,0.03964467,0.000037767073,0.000029639557,0.00041999808,0.0015136306,0.26362744,0.6850164,0.0022289439,0.006569706,0.000057164227],"about_ca_topic_score_codex":0.0010553468,"about_ca_topic_score_gemma":0.0017464925,"teacher_disagreement_score":0.0041393167,"about_ca_system_score_codex":0.00026492274,"about_ca_system_score_gemma":0.00013604193,"threshold_uncertainty_score":0.013847351},"labels":[],"label_agreement":null},{"id":"W4402041245","doi":"10.1016/j.renene.2024.121263","title":"Prediction of long-term photovoltaic power generation in the context of climate change","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","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 Prince Edward Island","funders":"Science and Technology Project of State Grid; National Key Research and Development Program of China; State Grid Corporation of China","keywords":"Term (time); Photovoltaic system; Context (archaeology); Climate change; Environmental science; Meteorology; Engineering; Electrical engineering; Geography; Geology; Physics","score_opus":0.027087508590089418,"score_gpt":0.22087884395901972,"score_spread":0.19379133536893028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402041245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98676664,0.00024996104,0.008459508,0.0005556202,0.000085507534,0.0000100810785,0.0013053794,0.00017930218,0.0023880168],"genre_scores_gemma":[0.9986866,0.000070031085,0.0005006311,0.000011401892,0.00001481531,0.0000028743834,0.00043221764,0.0000070940864,0.000274239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999168,0.00001912364,0.0000049991104,0.000022451173,0.000016456659,0.000020200941],"domain_scores_gemma":[0.9993255,0.00036547,0.00007803831,0.00003589915,0.00012283427,0.000072276816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004888801,0.00036202586,0.0002783142,0.00041333286,0.00026596492,0.0006263649,0.00033661214,0.0010013579,0.00085325993],"category_scores_gemma":[0.0015141735,0.0001868082,0.0003593483,0.00059174193,0.00022247533,0.0008252351,0.00027648036,0.0006744935,0.0002754847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018788622,0.00010349656,0.09861771,0.00003934214,0.00009216383,0.00026565455,0.00004975599,0.8835427,0.0032055075,0.001004663,0.0019670103,0.010924152],"study_design_scores_gemma":[0.0000057008842,0.00002261497,0.03588892,0.0000047786416,0.000010599696,0.000030625288,0.000040026913,0.96230257,0.0007076472,0.0006900423,0.00028714907,0.000009351255],"about_ca_topic_score_codex":0.012771716,"about_ca_topic_score_gemma":0.017193275,"teacher_disagreement_score":0.012771716,"about_ca_system_score_codex":0.00060905004,"about_ca_system_score_gemma":0.00032528883,"threshold_uncertainty_score":0.025394797},"labels":[],"label_agreement":null},{"id":"W4402082736","doi":"10.1016/j.renene.2024.121271","title":"Degradation assessment of wind turbine based on additional load measurements","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Machine Fault Diagnosis Techniques","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 Alberta","funders":"China Scholarship Council","keywords":"Degradation (telecommunications); Turbine; Environmental science; Wind power; Marine engineering; Meteorology; Engineering; Aerospace engineering; Electrical engineering; Geography","score_opus":0.016410119883640033,"score_gpt":0.27509973790535724,"score_spread":0.2586896180217172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402082736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94100827,0.0003748421,0.055260222,0.000065172775,0.00006624494,0.00003492502,0.0005385576,0.0006538675,0.0019978094],"genre_scores_gemma":[0.99820817,0.000041360032,0.0013577213,0.000006127882,0.0000049422206,0.0000044377384,0.0001435874,0.000008280988,0.00022535976],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99968624,0.00004591034,0.000024779763,0.000055512537,0.00015429962,0.000033249424],"domain_scores_gemma":[0.9992093,0.00026104547,0.00012313394,0.00008990108,0.00027024586,0.000046350782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000343567,0.00050965446,0.00047235817,0.0006618397,0.00016449619,0.00033925343,0.0002084122,0.0005330564,0.0007836266],"category_scores_gemma":[0.0012611744,0.00016789223,0.00023788713,0.00034187958,0.00014015591,0.00051955634,0.00018777594,0.0003443512,0.00029015783],"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":[0.0034756877,0.00041631507,0.12405814,0.00092451804,0.0002653095,0.0016966915,0.00047462454,0.21466213,0.39944595,0.0005858495,0.0024512596,0.25154346],"study_design_scores_gemma":[0.0000219453,0.00080356095,0.1806383,0.000038158043,0.0000831611,0.00054050604,0.00007796611,0.7454032,0.07141081,0.0002809079,0.0006695652,0.00003196956],"about_ca_topic_score_codex":0.0009622597,"about_ca_topic_score_gemma":0.00181056,"teacher_disagreement_score":0.0009622597,"about_ca_system_score_codex":0.00017413772,"about_ca_system_score_gemma":0.00010777985,"threshold_uncertainty_score":0.0026214719},"labels":[],"label_agreement":null},{"id":"W4402494679","doi":"10.1016/j.renene.2024.121354","title":"Development of a solar-ocean based integrated plant with a new hydrogen generation system","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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":"Ontario Tech University","funders":"","keywords":"Solar System; Environmental science; Astrobiology; Systems engineering; Meteorology; Aerospace engineering; Engineering; Physics","score_opus":0.016095608726350644,"score_gpt":0.2006375526744809,"score_spread":0.18454194394813028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402494679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.718348,0.0005492116,0.2645662,0.00025193236,0.00014899824,0.00057828065,0.0004320145,0.0026783808,0.012446895],"genre_scores_gemma":[0.8968548,0.0002081943,0.095810056,0.000057684047,0.00001990631,0.00016815511,0.00027100026,0.000035220615,0.006575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998148,0.000012103776,0.000008070814,0.000046372148,0.000097032695,0.000021670854],"domain_scores_gemma":[0.9999399,0.0000046854634,0.000006865289,0.00000874482,0.000026613752,0.00001320567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020270883,0.00024061142,0.00038881914,0.00026854096,0.00035384853,0.00039601664,0.0007771901,0.00046766805,0.0017246889],"category_scores_gemma":[0.00010049432,0.00020627669,0.00036974644,0.00031750454,0.00017112828,0.0005161387,0.00037062305,0.00044219953,0.0006585148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034360224,0.00031855126,0.0033753016,0.00041445787,0.000037238617,0.0004607831,0.00010369404,0.010881552,0.89417326,0.0014509994,0.00075857603,0.08768205],"study_design_scores_gemma":[0.00032280522,0.003022019,0.014104024,0.000034539684,0.00017125369,0.00074124394,0.00013673159,0.16646615,0.7901172,0.00063887495,0.024171375,0.0000738683],"about_ca_topic_score_codex":0.0015973047,"about_ca_topic_score_gemma":0.0020038902,"teacher_disagreement_score":0.0017246889,"about_ca_system_score_codex":0.00031787163,"about_ca_system_score_gemma":0.0005977175,"threshold_uncertainty_score":0.00576967},"labels":[],"label_agreement":null},{"id":"W4402512755","doi":"10.1016/j.renene.2024.121338","title":"A novel membrane-based absorber for sorption heat transformers: A comparative experimental study of a thin-film absorbent and salt-impregnated adsorbents","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Adsorption and Cooling Systems","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":"Pacific Institute for Climate Solutions; Simon Fraser University","funders":"Western Economic Diversification Canada; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Simon Fraser University; Pacific Institute for Climate Solutions","keywords":"Sorption; Adsorption; Materials science; Membrane; Transformer; Chemical engineering; Salt (chemistry); Composite material; Chemistry; Engineering; Organic chemistry; Electrical engineering; Voltage","score_opus":0.025233071879112733,"score_gpt":0.2624896886361506,"score_spread":0.23725661675703785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402512755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770972,0.0004773046,0.021060666,0.000072363095,0.000037929494,0.000084376945,0.00013333342,0.0001908713,0.0008460051],"genre_scores_gemma":[0.9791965,0.0006800808,0.017981233,0.00003100615,0.000018705388,0.00006041946,0.00011929707,0.00005510412,0.0018577132],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970335,0.00005376725,0.000014442774,0.000053292995,0.00012820025,0.000046885358],"domain_scores_gemma":[0.9998172,0.000059494683,0.000026143744,0.0000267032,0.000052056846,0.000018500717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039389348,0.00048825,0.00081127934,0.00034987312,0.00035644812,0.0004329502,0.0006624126,0.0005159392,0.0012381768],"category_scores_gemma":[0.0005227592,0.00024810873,0.00034566506,0.00030374707,0.00043588542,0.0009246846,0.00031911384,0.00056646875,0.0004980877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007146681,0.000039766044,0.00010393255,0.00006707817,0.0000041836865,0.000022399356,0.0000181624,0.00022062384,0.99786395,0.000043141063,0.000016375736,0.0015289878],"study_design_scores_gemma":[0.000005237298,0.00021214527,0.0005080912,0.0000018989194,0.0000059642875,0.000032356267,0.000016279033,0.001718707,0.99720144,0.0000096933645,0.00028299837,0.0000052095115],"about_ca_topic_score_codex":0.00089990796,"about_ca_topic_score_gemma":0.0014555604,"teacher_disagreement_score":0.0012381768,"about_ca_system_score_codex":0.00030155302,"about_ca_system_score_gemma":0.0002549544,"threshold_uncertainty_score":0.0041421056},"labels":[],"label_agreement":null},{"id":"W4402646114","doi":"10.1016/j.renene.2024.121370","title":"Novel bioaugmentation process to enhance anaerobic digestion of municipal sewage sludge","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":14,"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 Alberta; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioaugmentation; Anaerobic digestion; Waste management; Sewage sludge; Environmental science; Process (computing); Sewage sludge treatment; Anaerobic exercise; Sewage; Sewage treatment; Chemistry; Environmental engineering; Methane; Engineering; Computer science; Biology; Bioremediation; Contamination; Ecology","score_opus":0.009867907087953254,"score_gpt":0.2548076023568028,"score_spread":0.2449396952688495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402646114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99047124,0.0017971162,0.0060715266,0.00011696718,0.00009764646,0.000029224399,0.000069150374,0.000073288335,0.0012739014],"genre_scores_gemma":[0.9933355,0.0009124585,0.0036323625,0.000027430908,0.000010214106,0.000014549353,0.000059958737,0.000010033124,0.0019975593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990046,0.000013440117,0.000009281471,0.00002078936,0.000028388951,0.000027668846],"domain_scores_gemma":[0.9999683,0.0000036219742,0.000008248045,0.0000025403456,0.000007779189,0.00000952661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012035915,0.00054381427,0.00033752382,0.00031712308,0.0002493818,0.00053401623,0.00022676149,0.0003445888,0.0005040029],"category_scores_gemma":[0.00009530107,0.00018015559,0.00047574137,0.0003044118,0.00015066478,0.0003922152,0.00034544565,0.00045188985,0.00015785596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010733462,0.00010350314,0.00016366043,0.00009349213,0.000011272223,0.00010875956,0.000022833667,0.00032962285,0.99325705,0.00015061154,0.00004796105,0.005603874],"study_design_scores_gemma":[0.000014323247,0.00022043643,0.0011477873,0.000007970019,0.000031647975,0.00011525687,0.00003457993,0.0027935398,0.99401253,0.00003468863,0.0015785758,0.0000086561695],"about_ca_topic_score_codex":0.00085372553,"about_ca_topic_score_gemma":0.0020690844,"teacher_disagreement_score":0.00085372553,"about_ca_system_score_codex":0.00027778986,"about_ca_system_score_gemma":0.00035472453,"threshold_uncertainty_score":0.0020154715},"labels":[],"label_agreement":null},{"id":"W4402675553","doi":"10.1016/j.renene.2024.121438","title":"REMOVED: Exergy and thermoeconomic analysis of a novel polygeneration system based on gasification and power-to-x strategy","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","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":"Ministero dell'Istruzione e del Merito","keywords":"Exergy; Process engineering; Power (physics); Environmental science; Waste management; Exergy efficiency; Engineering; Thermodynamics; Physics","score_opus":0.0074698374146216955,"score_gpt":0.20483823607045437,"score_spread":0.19736839865583267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402675553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609485,0.0010943795,0.0219075,0.00021193683,0.00013376253,0.00009102493,0.0008893742,0.00038302832,0.014340322],"genre_scores_gemma":[0.99332434,0.00017245878,0.0016907846,0.0000103525,0.000003865231,0.000014730129,0.0001988099,0.000026891092,0.0045577623],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999609,0.0000034186307,0.0000027163737,0.00000845137,0.000016555772,0.000007940645],"domain_scores_gemma":[0.99997234,0.000008818367,0.0000031074608,0.0000034044326,0.00000730733,0.0000050892045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010833607,0.00027558426,0.00031887784,0.00039096223,0.00020569593,0.00045637134,0.0003271527,0.00031213637,0.0107996],"category_scores_gemma":[0.0001369466,0.0001015964,0.0003870857,0.00021196943,0.00018184517,0.00047646184,0.00021378297,0.0003368786,0.0008833905],"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":[0.00209221,0.00045300968,0.005518982,0.0009340412,0.000122401,0.0007876014,0.00008346737,0.36438268,0.5134681,0.008660709,0.0033372769,0.10015952],"study_design_scores_gemma":[0.00009977071,0.0012033847,0.015036419,0.00003420009,0.00006998496,0.00027784056,0.00008945222,0.7141133,0.25902864,0.0031674257,0.0068356856,0.000043958407],"about_ca_topic_score_codex":0.0025864486,"about_ca_topic_score_gemma":0.003408228,"teacher_disagreement_score":0.0107996,"about_ca_system_score_codex":0.00040882826,"about_ca_system_score_gemma":0.00026087125,"threshold_uncertainty_score":0.036128223},"labels":[],"label_agreement":null},{"id":"W4402955925","doi":"10.1016/j.renene.2024.121482","title":"Experimental investigation of ground-source heat pump system coupled to vertical and horizontal ground loops: A case study","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heat pump; Horizontal and vertical; Environmental science; Mechanics; Meteorology; Physics; Geology; Geodesy; Thermodynamics; Heat exchanger","score_opus":0.01584046723946895,"score_gpt":0.24330795722711226,"score_spread":0.22746748998764332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402955925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99615175,0.000022097729,0.0026489994,0.00002722418,0.000021769354,0.000053932516,0.00012580988,0.00010234974,0.0008460419],"genre_scores_gemma":[0.99869835,0.000012968135,0.00063002063,0.0000050887643,0.000002642049,0.000024767296,0.000032275853,0.0000056653803,0.0005881967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995577,0.00009000277,0.00002281903,0.00011814564,0.00011562318,0.00009571367],"domain_scores_gemma":[0.9992126,0.0003503445,0.00006978834,0.000108196524,0.0001734556,0.00008558919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046210623,0.00044269187,0.0005370094,0.00026407087,0.00071660447,0.0005058296,0.000770512,0.0011444183,0.003691166],"category_scores_gemma":[0.00081510615,0.00028715836,0.0005016752,0.0001998095,0.00085873576,0.00067960646,0.00057032413,0.00053108047,0.00040225874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006142917,0.0051568635,0.02910454,0.0015078988,0.00022648908,0.0036331767,0.001599812,0.15635969,0.76175004,0.0026400194,0.002220746,0.029657755],"study_design_scores_gemma":[0.0010626566,0.021701131,0.049444575,0.00007171065,0.00024678188,0.0006359373,0.002341448,0.4103948,0.5085101,0.0009968366,0.004456044,0.0001379116],"about_ca_topic_score_codex":0.0018531883,"about_ca_topic_score_gemma":0.0021038975,"teacher_disagreement_score":0.003691166,"about_ca_system_score_codex":0.0004026349,"about_ca_system_score_gemma":0.0005101346,"threshold_uncertainty_score":0.012348175},"labels":[],"label_agreement":null},{"id":"W4403140458","doi":"10.1016/j.renene.2024.121537","title":"Parametric and optimization analyses of a dynamic trombe wall incorporating PCM to save heating energy under cold climate zones","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Energy Systems and Technologies","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":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Parametric statistics; Cold climate; Environmental science; Structural engineering; Engineering; Geology; Climatology; Mathematics","score_opus":0.015704367135053503,"score_gpt":0.2465804229038713,"score_spread":0.2308760557688178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403140458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9439069,0.00025108075,0.024226613,0.00017864094,0.000055648077,0.00004628512,0.00025556868,0.0001062554,0.030972978],"genre_scores_gemma":[0.9964012,0.0000532728,0.0015011611,0.0000065253807,0.0000035097905,0.00002365818,0.00003370175,0.000009747605,0.0019671025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986875,0.00003211322,0.0000037816746,0.00001792151,0.000038117654,0.00003927625],"domain_scores_gemma":[0.99976987,0.00013889193,0.000025024674,0.000020761367,0.000031372714,0.0000140969605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029461453,0.00042812456,0.00070003065,0.00038821378,0.00053835544,0.00088244234,0.00064460374,0.0009305337,0.0039327894],"category_scores_gemma":[0.00054303446,0.0002988452,0.0006937033,0.00035027758,0.0005313891,0.0003689403,0.0004587992,0.00045904,0.00025385272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012508246,0.00004566357,0.00045399653,0.00006979876,0.000013619233,0.0001271607,0.000028213517,0.9862779,0.008418857,0.00085430674,0.00020185429,0.0033835405],"study_design_scores_gemma":[0.000015238717,0.00018715604,0.0011694643,0.000008947817,0.00001837318,0.00002143988,0.0000612096,0.99384284,0.003961574,0.00021126709,0.0004890641,0.000013449838],"about_ca_topic_score_codex":0.0024166945,"about_ca_topic_score_gemma":0.0023946306,"teacher_disagreement_score":0.0039327894,"about_ca_system_score_codex":0.00031045804,"about_ca_system_score_gemma":0.00037004406,"threshold_uncertainty_score":0.013156533},"labels":[],"label_agreement":null},{"id":"W4403348514","doi":"10.1016/j.renene.2024.121518","title":"Propulsion and energy extraction performance of wave-powered mechanism considering wave and current","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","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":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Propulsion; Current (fluid); Mechanism (biology); Extraction (chemistry); Aerospace engineering; Energy (signal processing); Engineering; Mechanical engineering; Physics; Chemistry; Electrical engineering; Chromatography","score_opus":0.015125908692561243,"score_gpt":0.20368603241655367,"score_spread":0.18856012372399242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403348514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973228,0.00041649453,0.013910505,0.00006945336,0.000045328492,0.000027412014,0.0001996275,0.0001357082,0.011967414],"genre_scores_gemma":[0.9971781,0.000111744244,0.00039032567,0.0000034642726,0.0000034696786,0.000008180184,0.00009788349,0.000007964944,0.0021989378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999193,0.0000070219,0.0000048275724,0.0000143780935,0.000028454728,0.000026093752],"domain_scores_gemma":[0.9998118,0.00007083819,0.000026008667,0.000026665442,0.00005258096,0.000012162764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020164435,0.00032252198,0.00040804973,0.00048535538,0.0003357439,0.0004810936,0.00040303965,0.00051583967,0.0046595046],"category_scores_gemma":[0.00041140607,0.00017958858,0.00054728414,0.00037892463,0.00026308754,0.00072557974,0.00032805844,0.00023299074,0.0007404739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003423143,0.00025756893,0.011910018,0.00080859475,0.00020127448,0.0014203506,0.00022131718,0.55441284,0.34893933,0.0066637606,0.0010960327,0.07064573],"study_design_scores_gemma":[0.00013769757,0.0013211763,0.035354678,0.000078010205,0.00022439627,0.00045814787,0.0003280985,0.80599135,0.15065703,0.0026521685,0.0027222123,0.00007505001],"about_ca_topic_score_codex":0.0005706599,"about_ca_topic_score_gemma":0.00028368423,"teacher_disagreement_score":0.0046595046,"about_ca_system_score_codex":0.000112002206,"about_ca_system_score_gemma":0.00021150468,"threshold_uncertainty_score":0.015587568},"labels":[],"label_agreement":null},{"id":"W4403524755","doi":"10.1016/j.renene.2024.121642","title":"Development of a novel renewable energy-based integrated system coupling biomass and H2S sources for clean hydrogen production","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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":"Renewable energy; Hydrogen production; Clean energy; Biomass (ecology); Production (economics); Waste management; Environmental science; Coupling (piping); Hydrogen; Engineering; Process engineering; Environmental engineering; Chemistry; Electrical engineering; Mechanical engineering; Economics; Ecology","score_opus":0.019846250100171298,"score_gpt":0.2275639411523312,"score_spread":0.2077176910521599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403524755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73558056,0.0015314651,0.2489925,0.00017757784,0.00018689125,0.00024505297,0.000480409,0.0023586403,0.010446873],"genre_scores_gemma":[0.92749244,0.000469835,0.06724472,0.000042704592,0.000016520158,0.000112197034,0.0003108374,0.000032264492,0.004278517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991286,0.0000043745295,0.000004332187,0.000023548155,0.000042440435,0.000012456824],"domain_scores_gemma":[0.99997866,0.0000015579742,0.0000037692714,0.0000026237178,0.0000087428825,0.000004667996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104247716,0.0003354302,0.0004419056,0.00023400459,0.00026335605,0.00036837044,0.0006350369,0.00038910576,0.0012931088],"category_scores_gemma":[0.000060372055,0.00021293039,0.00036112362,0.00027687708,0.00011596047,0.0004810427,0.000355083,0.00023607479,0.000508693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121490186,0.00012725568,0.00096843246,0.00028640562,0.00003380466,0.00018593592,0.000030815212,0.012443877,0.94926596,0.0007814828,0.00035833698,0.035396144],"study_design_scores_gemma":[0.0001019669,0.0012544405,0.0047239396,0.000021142596,0.00012780371,0.00033391392,0.00006965552,0.21315753,0.7623668,0.000464257,0.017335923,0.000042746175],"about_ca_topic_score_codex":0.0010460757,"about_ca_topic_score_gemma":0.0021738664,"teacher_disagreement_score":0.0012931088,"about_ca_system_score_codex":0.00026562178,"about_ca_system_score_gemma":0.00047803452,"threshold_uncertainty_score":0.0043259263},"labels":[],"label_agreement":null},{"id":"W4403558590","doi":"10.1016/j.renene.2024.121618","title":"Three-dimensional analysis of multiple inclined borehole heat exchangers","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Heat exchanger; Geology; Petroleum engineering; Environmental science; Geotechnical engineering; Engineering; Mechanical engineering","score_opus":0.016053629423962802,"score_gpt":0.23821813437381809,"score_spread":0.2221645049498553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403558590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.792069,0.0002889325,0.19639641,0.00014543916,0.00007683337,0.00010027519,0.00035947052,0.00040874156,0.010154864],"genre_scores_gemma":[0.9912649,0.000072137496,0.007465128,0.0000075947937,0.0000046041123,0.000020606787,0.00007863056,0.00001432201,0.001072194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984455,0.000017490933,0.00000733158,0.000027556018,0.00006329038,0.00003968498],"domain_scores_gemma":[0.99983907,0.000056973935,0.000031625572,0.000019998053,0.000032659926,0.000019684727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225162,0.0003090668,0.00032468248,0.00043201642,0.00032467814,0.0010493972,0.00040918676,0.0005922542,0.0017752977],"category_scores_gemma":[0.00045955795,0.00021278222,0.00048774088,0.0003381696,0.0005305166,0.0005626332,0.00048694163,0.00032552955,0.00014618352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007553893,0.000069663954,0.0060168514,0.000061275816,0.000021547448,0.00018659869,0.00008036776,0.9458329,0.03411175,0.0039990935,0.0002448395,0.009299567],"study_design_scores_gemma":[0.0000064021588,0.000035512796,0.0026408797,0.0000047111666,0.000004766082,0.00003441562,0.000047198617,0.9925392,0.003545924,0.0005667963,0.000563275,0.000010926589],"about_ca_topic_score_codex":0.0028048053,"about_ca_topic_score_gemma":0.0014793208,"teacher_disagreement_score":0.0028048053,"about_ca_system_score_codex":0.00039590322,"about_ca_system_score_gemma":0.0006257992,"threshold_uncertainty_score":0.005938947},"labels":[],"label_agreement":null},{"id":"W4403897222","doi":"10.1016/j.renene.2024.121750","title":"Hydrogen production from energetic poplar and waste sludge by electrohydrogenesis using membraneless microbial electrolysis cells","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","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":"Ontario Tech University","funders":"Mitacs","keywords":"Hydrogen production; Microbial electrolysis cell; Production (economics); Electrolysis; Waste management; Pulp and paper industry; Environmental science; Hydrogen; Biohydrogen; Fermentative hydrogen production; Chemistry; Engineering; Economics","score_opus":0.004170436379817833,"score_gpt":0.17349595274271,"score_spread":0.16932551636289217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403897222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905539,0.0011579508,0.007330507,0.00009011967,0.000025118123,0.000010216859,0.000105557585,0.0000714391,0.0006551261],"genre_scores_gemma":[0.9940865,0.00076691137,0.003976727,0.000028235028,0.0000068865206,0.0000069238263,0.0001301739,0.000008750868,0.0009889273],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998535,0.000035993206,0.0000119944125,0.0000247347,0.00005422356,0.00001949438],"domain_scores_gemma":[0.99994874,0.00001126459,0.000011627267,0.000004622366,0.000013377466,0.000010348293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017570301,0.0003646794,0.00026842704,0.00019140063,0.00011718431,0.0003884477,0.00027013666,0.00036049585,0.00032129683],"category_scores_gemma":[0.0001356806,0.000117002994,0.0002594742,0.00023802507,0.00015535818,0.00044269045,0.00034155088,0.00031647764,0.00015404106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025829311,0.000015894413,0.00008463623,0.000042299012,0.0000045962174,0.000031899144,0.000008778307,0.00018742857,0.99797326,0.000039986608,0.000019337202,0.0015660474],"study_design_scores_gemma":[0.000006189545,0.00014286276,0.0006020012,0.0000034260436,0.000009295232,0.0000542038,0.000025086576,0.0015141548,0.9968637,0.000031502725,0.00074260344,0.000004999041],"about_ca_topic_score_codex":0.00030549016,"about_ca_topic_score_gemma":0.0006811429,"teacher_disagreement_score":0.0003884477,"about_ca_system_score_codex":0.0001481328,"about_ca_system_score_gemma":0.00012234246,"threshold_uncertainty_score":0.0010748506},"labels":[],"label_agreement":null},{"id":"W4404136280","doi":"10.1016/j.renene.2024.121767","title":"Optimizing production well geometry in the Utah FORGE geothermal project using machine learning and fluid flow modeling","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Drilling and Well Engineering","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 Calgary","funders":"Society of Petroleum Engineers","keywords":"Geothermal gradient; Petroleum engineering; Flow (mathematics); Production (economics); Fluid dynamics; Engineering; Geology; Environmental science; Mining engineering; Mechanical engineering; Geometry; Mechanics; Mathematics; Physics; Geophysics; Economics","score_opus":0.012143132742044597,"score_gpt":0.2108325505438141,"score_spread":0.19868941780176952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404136280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97747827,0.00006563591,0.019742938,0.00015483178,0.000012099648,0.000044918324,0.00015005496,0.00027232405,0.0020788838],"genre_scores_gemma":[0.9903708,0.000018889066,0.008873579,0.00000745277,0.0000015543568,0.000016236361,0.00012017682,0.000023439028,0.00056789356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985266,0.000044302982,0.0000064209,0.00003606337,0.000031012052,0.00002949375],"domain_scores_gemma":[0.99955815,0.0002465641,0.00004497007,0.00003024081,0.0000775137,0.000042494947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006289677,0.00063653145,0.0005813936,0.0005253254,0.00070825324,0.0008420219,0.0003896139,0.0010603105,0.0008097953],"category_scores_gemma":[0.0013307997,0.000539329,0.00038922427,0.00046096256,0.00046418232,0.00076766836,0.00037621678,0.0005834803,0.00010924586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008100822,0.000084566855,0.0032437379,0.000011690816,0.00000685229,0.00006310059,0.000019777806,0.9875749,0.0015290285,0.00028159557,0.00024326201,0.0068605393],"study_design_scores_gemma":[0.000010539199,0.000047075926,0.0012703756,0.0000012395582,0.0000036355796,0.000004570819,0.000031566724,0.9971623,0.0012297212,0.00014208963,0.00009241946,0.000004522274],"about_ca_topic_score_codex":0.04106877,"about_ca_topic_score_gemma":0.06799313,"teacher_disagreement_score":0.04106877,"about_ca_system_score_codex":0.0011579285,"about_ca_system_score_gemma":0.0019772565,"threshold_uncertainty_score":0.081659436},"labels":[],"label_agreement":null},{"id":"W4404287752","doi":"10.1016/j.renene.2024.121894","title":"Experiment and prediction of enhanced gas storage capacity in depleted gas reservoirs for clean energy applications","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Enhanced Oil Recovery Techniques","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 Calgary","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Petroleum engineering; Environmental science; Waste management; Clean energy; Energy storage; Nuclear engineering; Process engineering; Engineering; Environmental engineering; Thermodynamics; Physics; Power (physics)","score_opus":0.015907783290043317,"score_gpt":0.2234602085704005,"score_spread":0.20755242528035717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404287752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99680054,0.000038174672,0.002059594,0.00005384488,0.000009727456,0.000014178276,0.00028487714,0.00008623413,0.000652808],"genre_scores_gemma":[0.9989236,0.00001777698,0.0007515028,0.000003285746,0.000001497318,0.000008639435,0.00008186041,0.0000041896874,0.0002075138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999256,0.000011237763,0.0000047846243,0.000025185525,0.00001865154,0.000014588933],"domain_scores_gemma":[0.99967,0.00019765226,0.000023337205,0.000034690554,0.000055389002,0.000018905263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003137549,0.00036702456,0.0002335303,0.00018236609,0.00033281455,0.0002701606,0.00047792858,0.0004508344,0.0012138775],"category_scores_gemma":[0.0005029217,0.00019932428,0.0002688189,0.00022316175,0.00030543774,0.00070491567,0.00024797887,0.00044401598,0.000121136225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039829686,0.0012514108,0.037316225,0.00025117968,0.00008296629,0.00034003137,0.00013475763,0.438457,0.49709168,0.0020110363,0.00089438824,0.018186431],"study_design_scores_gemma":[0.00014775405,0.0010176805,0.0072778156,0.0000043752575,0.000028426053,0.00002689798,0.00004072963,0.6161245,0.37452146,0.00035768092,0.00042292316,0.000029706554],"about_ca_topic_score_codex":0.004643408,"about_ca_topic_score_gemma":0.0035935463,"teacher_disagreement_score":0.004643408,"about_ca_system_score_codex":0.00052733213,"about_ca_system_score_gemma":0.00044390935,"threshold_uncertainty_score":0.0092327595},"labels":[],"label_agreement":null},{"id":"W4404344801","doi":"10.1016/j.renene.2024.120151","title":"Characterization of renewable diesel, petroleum diesel and renewable diesel/biodiesel/petroleum diesel blends","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","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":"Environment and Climate Change Canada","funders":"Government of Canada","keywords":"Diesel fuel; Biodiesel; Flash point; Vegetable oil refining; Petroleum; Pulp and paper industry; Environmental science; Renewable energy; Materials science; Chemistry; Organic chemistry; Engineering; Catalysis","score_opus":0.008916294791563122,"score_gpt":0.20056010612965397,"score_spread":0.19164381133809086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404344801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892859,0.0017354402,0.0051160785,0.000042550917,0.00003451871,0.00006482389,0.0013650059,0.000070383656,0.002285288],"genre_scores_gemma":[0.98467433,0.0018644722,0.008018005,0.000073772746,0.000009964031,0.00007113707,0.0012607182,0.00007262061,0.0039549097],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999627,0.000018138286,0.00003472143,0.000071512695,0.00020463688,0.000044043034],"domain_scores_gemma":[0.99983966,0.00002805637,0.000027402159,0.000007802512,0.00007581204,0.000021241147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023942077,0.0004107403,0.00031881977,0.0017684223,0.00022341593,0.00041568454,0.00024448652,0.00032082637,0.0013563347],"category_scores_gemma":[0.0005463554,0.000153096,0.00030374966,0.001064241,0.00017927258,0.0004471869,0.00033480485,0.00038081838,0.0004063222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015389525,0.000057556874,0.003320033,0.0002194118,0.000031266463,0.0003064258,0.000057106892,0.00068643555,0.984371,0.00014101858,0.000076646276,0.010579356],"study_design_scores_gemma":[0.00000774698,0.00020360603,0.012897108,0.00002609945,0.00003550151,0.00042531203,0.00021274516,0.0030180286,0.97865915,0.00010760773,0.004384274,0.000023002347],"about_ca_topic_score_codex":0.0013744857,"about_ca_topic_score_gemma":0.0033606088,"teacher_disagreement_score":0.0017684223,"about_ca_system_score_codex":0.0001934969,"about_ca_system_score_gemma":0.00018851989,"threshold_uncertainty_score":0.0045374036},"labels":[],"label_agreement":null},{"id":"W4404344825","doi":"10.1016/j.renene.2024.120155","title":"Anisotropically layered 2D-3D biocarbon-carbon functionality in sustainable high-performance composite for bipolar plates in fuel cell","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":7,"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":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Composite number; Carbon fibers; Materials science; Fuel cells; Composite material; Engineering; Chemical engineering","score_opus":0.004510743872076088,"score_gpt":0.17690697881398154,"score_spread":0.17239623494190545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404344825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807978,0.0014927407,0.003685275,0.00013118115,0.00014082169,0.000016645588,0.00027301678,0.00024335498,0.013219131],"genre_scores_gemma":[0.9959413,0.00033718898,0.002280813,0.000025307028,0.000007847987,0.000013276288,0.00010556388,0.000023127224,0.0012655728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999454,0.0000044970225,0.0000023818363,0.000010498767,0.000021220412,0.000016013073],"domain_scores_gemma":[0.9999701,0.000004549841,0.000004590404,0.000004239656,0.0000073300394,0.000009232704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050043738,0.00025238807,0.00012771448,0.00022585972,0.00020880584,0.00044230977,0.00026239463,0.00031855635,0.0013811443],"category_scores_gemma":[0.00008356741,0.00017307977,0.0001412883,0.00017137844,0.00015676247,0.00019119671,0.00022156844,0.00035155154,0.00041263073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009967171,0.00002783236,0.00019458111,0.00015218614,0.000012038668,0.00016226957,0.000034376346,0.0018698573,0.9899138,0.002393269,0.0006967397,0.0044434103],"study_design_scores_gemma":[0.0000177444,0.000117771175,0.0015446456,0.000015303443,0.000020636326,0.0001344307,0.000059954335,0.010049749,0.98181146,0.00035119164,0.005851528,0.000025584197],"about_ca_topic_score_codex":0.00062561285,"about_ca_topic_score_gemma":0.0022913346,"teacher_disagreement_score":0.0013811443,"about_ca_system_score_codex":0.00025618955,"about_ca_system_score_gemma":0.0001560301,"threshold_uncertainty_score":0.004620433},"labels":[],"label_agreement":null},{"id":"W4404442452","doi":"10.1016/j.renene.2024.121929","title":"Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"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 Regina","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Fujian Province","keywords":"China; Energy (signal processing); Greenhouse gas; Natural resource economics; Environmental science; Economics; Environmental economics; Geography; Mathematics; Geology; Statistics; Oceanography","score_opus":0.021420667453357793,"score_gpt":0.23579600454718724,"score_spread":0.21437533709382944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404442452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95605963,0.0005606013,0.02924998,0.0011427146,0.00008318906,0.000054863245,0.0028726184,0.00033519117,0.00964121],"genre_scores_gemma":[0.9950269,0.00013323464,0.0015367172,0.000039009457,0.000013578661,0.000034650257,0.0005327551,0.00003094631,0.0026522053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969435,0.000106262945,0.0000105474355,0.000081424594,0.000021395572,0.0000859788],"domain_scores_gemma":[0.9993979,0.0003230701,0.000046460445,0.000038422408,0.000117561234,0.000076618155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007662377,0.0012686024,0.0013824609,0.0006078989,0.00076302467,0.0014193247,0.0019005545,0.0018495717,0.003331985],"category_scores_gemma":[0.0013566252,0.0007682252,0.0015285552,0.001326285,0.0008349753,0.001404847,0.001056242,0.0010460065,0.00032195885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032635387,0.000025222784,0.0015192613,0.000017099825,0.00004071766,0.000063931664,0.000015473217,0.9959836,0.000111879475,0.0013559163,0.00023221663,0.00060203637],"study_design_scores_gemma":[0.000018852978,0.000009706078,0.00069674477,0.0000020699597,0.000025993226,0.0000032501496,0.000023628174,0.99840754,0.00005122235,0.0006321986,0.0001209567,0.000007774992],"about_ca_topic_score_codex":0.2920518,"about_ca_topic_score_gemma":0.16848963,"teacher_disagreement_score":0.2920518,"about_ca_system_score_codex":0.002704742,"about_ca_system_score_gemma":0.0038771788,"threshold_uncertainty_score":0.58070374},"labels":[],"label_agreement":null},{"id":"W4404446700","doi":"10.1016/j.renene.2024.121934","title":"How does the productivity of renewable energy respond to institutional pressures and higher education?","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"SAIT Polytechnic","funders":"","keywords":"Renewable energy; Productivity; Natural resource economics; Environmental economics; Economics; Business; Environmental science; Engineering; Economic growth; Electrical engineering","score_opus":0.014940900037912779,"score_gpt":0.2031876873745786,"score_spread":0.1882467873366658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404446700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.833833,0.004972592,0.0024514312,0.104723975,0.00035642865,0.000016681237,0.00062210095,0.000047959857,0.052975856],"genre_scores_gemma":[0.9967726,0.0008266745,0.00007694648,0.0009048195,0.00015019212,0.0000033784331,0.00005497345,0.000009171561,0.0012013656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851054,0.0005345696,0.000055811666,0.00014116587,0.00020708091,0.00055081956],"domain_scores_gemma":[0.98839194,0.0051589515,0.0036188983,0.00033041512,0.0012414856,0.001258272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024870643,0.00017604882,0.00045655368,0.0011242508,0.00058613904,0.006165321,0.0005129718,0.0020796184,0.008118163],"category_scores_gemma":[0.0144326305,0.00019524549,0.00039688646,0.0026101538,0.0020918576,0.0045092064,0.001379963,0.0018756693,0.00086878816],"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":[0.00049160543,0.0007412604,0.62829024,0.00039337325,0.0006284073,0.0006456857,0.0018457378,0.019862294,0.0012989788,0.21968666,0.018945409,0.10717042],"study_design_scores_gemma":[0.00007166404,0.0001813895,0.7124524,0.0002204143,0.00015861152,0.0002066005,0.018139275,0.011109393,0.0015683298,0.20791914,0.047863603,0.00010916805],"about_ca_topic_score_codex":0.007497761,"about_ca_topic_score_gemma":0.007926456,"teacher_disagreement_score":0.008118163,"about_ca_system_score_codex":0.0019437863,"about_ca_system_score_gemma":0.0018100197,"threshold_uncertainty_score":0.027157903},"labels":[],"label_agreement":null},{"id":"W4404845237","doi":"10.1016/j.renene.2024.121985","title":"Performance of a sedimentation tank for standing column wells coupled with geothermal heat pump systems","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geothermal gradient; Sedimentation; Geothermal heating; Petroleum engineering; Environmental science; Column (typography); Heat pump; Geothermal energy; Geology; Water column; Engineering; Oceanography; Geomorphology; Mechanical engineering; Sediment; Heat exchanger","score_opus":0.011029212473534743,"score_gpt":0.22286232012859983,"score_spread":0.21183310765506508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404845237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952028,0.000080556,0.003409985,0.00008554574,0.000028214916,0.000017963472,0.00009193863,0.00022893708,0.00085403747],"genre_scores_gemma":[0.9981552,0.000028405826,0.00077817345,0.000011769527,0.0000025410675,0.000008265259,0.00003385958,0.000008407003,0.0009734667],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996977,0.00004690468,0.000023654038,0.000073302406,0.000106870226,0.000051683255],"domain_scores_gemma":[0.99955064,0.00014396297,0.000048704533,0.00002345635,0.00016137288,0.00007186869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003354985,0.00054508436,0.000729454,0.00028564018,0.0010961102,0.0010107288,0.0008293806,0.0009732688,0.0033844654],"category_scores_gemma":[0.00054081826,0.00039524987,0.0004914362,0.0002816235,0.0004646274,0.00081856316,0.00058766484,0.0005017505,0.00050431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003327038,0.00039796025,0.006071049,0.00028502816,0.000074037824,0.00028907612,0.0002264095,0.031903986,0.93809384,0.00033892522,0.00073988165,0.01825271],"study_design_scores_gemma":[0.00022203675,0.0031483253,0.0113991415,0.000034380657,0.0001291658,0.00008657453,0.00033837373,0.29896763,0.6839342,0.00013569482,0.0015138502,0.000090715825],"about_ca_topic_score_codex":0.0109597165,"about_ca_topic_score_gemma":0.009747558,"teacher_disagreement_score":0.0109597165,"about_ca_system_score_codex":0.0009884312,"about_ca_system_score_gemma":0.001572412,"threshold_uncertainty_score":0.021791816},"labels":[],"label_agreement":null},{"id":"W4404905628","doi":"10.1016/j.renene.2024.121953","title":"Blue vs. Green: A comparative analysis of ammonia production and export in Western Canada and Australia","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical 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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Production (economics); Ammonia; Ammonia production; Environmental science; Agricultural economics; Economics; Chemistry; Macroeconomics","score_opus":0.01924273117823166,"score_gpt":0.2429347998943174,"score_spread":0.22369206871608574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404905628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99147636,0.0006655403,0.00011371602,0.00010126505,0.0000038221037,0.000010302363,0.0011101598,0.000009013844,0.0065098666],"genre_scores_gemma":[0.99086624,0.0006665172,0.00018936502,0.000050692626,0.0000028819884,0.000005237034,0.0009930992,0.000014032069,0.007211929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968505,0.000019697392,0.000011518263,0.000040838397,0.00012392727,0.00011899209],"domain_scores_gemma":[0.99882907,0.0001048518,0.00012719161,0.000016429649,0.0007090201,0.00021347014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035218924,0.00032205187,0.0003221274,0.0027136845,0.001701554,0.0017174534,0.00052521174,0.00024301218,0.0017262914],"category_scores_gemma":[0.00078907114,0.00018999747,0.00038392917,0.005959007,0.00075843185,0.00045840707,0.0008078149,0.00033643504,0.00020591923],"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":[0.00086448016,0.00006442287,0.94564193,0.00023415216,0.00023270585,0.0011167845,0.010296047,0.00087765,0.008356635,0.0018152357,0.0015413355,0.028958667],"study_design_scores_gemma":[0.000002158314,0.000018350549,0.99346817,0.000019244548,0.000023048726,0.00005587021,0.0032702505,0.00022798339,0.00035325545,0.000028885219,0.0025253806,0.000007344648],"about_ca_topic_score_codex":0.98379093,"about_ca_topic_score_gemma":0.991343,"teacher_disagreement_score":0.016209066,"about_ca_system_score_codex":0.012942567,"about_ca_system_score_gemma":0.009629859,"threshold_uncertainty_score":0.09390533},"labels":[],"label_agreement":null},{"id":"W4405092509","doi":"10.1016/j.renene.2024.122101","title":"Numerical investigation of fluid dynamics in aquifers for seasonal large-scale hydrogen storage using compositional simulations","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","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 Calgary","funders":"State Key Laboratory of Geomechanics and Geotechnical Engineering; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Aquifer; Scale (ratio); Environmental science; Computational fluid dynamics; Hydrogen storage; Dynamics (music); Mechanics; Petroleum engineering; Geology; Hydrogen; Groundwater; Physics; Geotechnical engineering","score_opus":0.011356541911439064,"score_gpt":0.23481942108236734,"score_spread":0.22346287917092827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405092509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855526,0.00009914443,0.0077508055,0.00019657631,0.00002136747,0.000038501705,0.00018714309,0.00009886985,0.0060550403],"genre_scores_gemma":[0.99760497,0.00003703846,0.0017010021,0.000012517307,0.000004194392,0.000015984479,0.00004958388,0.000010611849,0.00056413823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993515,0.00001538376,0.000004052881,0.000011327414,0.000014460569,0.000019658966],"domain_scores_gemma":[0.99961203,0.00022513069,0.000038879567,0.000027690374,0.000050623086,0.000045633293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021045159,0.0003291025,0.00044487286,0.00038167267,0.00076746935,0.0006773672,0.0006193896,0.00089271937,0.0018806378],"category_scores_gemma":[0.0011371515,0.00025654302,0.0003602509,0.0005230592,0.0007970417,0.0005174825,0.0006003166,0.00041865997,0.000088124754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101140446,0.0001065203,0.0038301332,0.00004043822,0.000013665033,0.00010761694,0.000049324408,0.9858512,0.006225585,0.0016331057,0.00013344568,0.0019078297],"study_design_scores_gemma":[0.000011312709,0.000016081716,0.00051824,0.000001717483,0.0000020453192,0.0000043085092,0.00002928702,0.99876094,0.000475037,0.00012187609,0.000056248326,0.0000029610878],"about_ca_topic_score_codex":0.022735946,"about_ca_topic_score_gemma":0.014007651,"teacher_disagreement_score":0.022735946,"about_ca_system_score_codex":0.00084728794,"about_ca_system_score_gemma":0.0010490897,"threshold_uncertainty_score":0.045207202},"labels":[],"label_agreement":null},{"id":"W4405999498","doi":"10.1016/j.renene.2024.122324","title":"A thermal power budget approach to evaluate the geothermal potential of a flooded open-pit mine: Case studies from the Carey Canadian and King-Beaver mines (Canada)","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Geothermal gradient; Beaver; Environmental science; Mining engineering; Geology","score_opus":0.014143604136975437,"score_gpt":0.2392279052977618,"score_spread":0.22508430116078637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405999498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95122683,0.00024645895,0.035935145,0.0001772386,0.000005333423,0.00027661573,0.0015531622,0.00009299326,0.010486156],"genre_scores_gemma":[0.98813707,0.00013955936,0.009492635,0.00000975696,0.0000016241762,0.000068945315,0.0003096446,0.000013375976,0.0018272995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99980956,0.000044936703,0.00000938886,0.000027059688,0.00006228416,0.00004671377],"domain_scores_gemma":[0.99973744,0.00010478725,0.000027574122,0.000011707674,0.00010503618,0.000013565709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004831073,0.0006383641,0.00035151886,0.0011568547,0.0006248263,0.0009214867,0.001127064,0.00055261824,0.0014441245],"category_scores_gemma":[0.0008755957,0.0003253043,0.00048039752,0.001548231,0.00044662203,0.00049580855,0.00035877767,0.00035716602,0.00009307366],"study_design_candidate":"observational","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":[0.00008456459,0.00007720848,0.031448618,0.00012613431,0.000073702926,0.00058911846,0.00027295804,0.93855757,0.004158822,0.0023885772,0.0005982213,0.021624444],"study_design_scores_gemma":[0.000019782821,0.00007263122,0.033586107,0.000025291662,0.000056592016,0.000099902616,0.0010597503,0.9602074,0.0025553966,0.00072008057,0.0015660735,0.00003107888],"about_ca_topic_score_codex":0.82103443,"about_ca_topic_score_gemma":0.8748542,"teacher_disagreement_score":0.17896557,"about_ca_system_score_codex":0.00863779,"about_ca_system_score_gemma":0.0038168286,"threshold_uncertainty_score":0.36003906},"labels":[],"label_agreement":null},{"id":"W4406011844","doi":"10.1016/j.renene.2025.122342","title":"Low-carbon advancement through cleaner production: A machine learning approach for enhanced hydrogen storage predictions in coal seams","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Coal Properties and Utilization","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":"McMaster University","funders":"","keywords":"Coal; Production (economics); Carbon fibers; Hydrogen production; Coal mining; Waste management; Environmental science; Carbon capture and storage (timeline); Cleaner production; Process engineering; Hydrogen; Engineering; Mining engineering; Computer science; Chemistry; Geology; Economics; Climate change; Municipal solid waste","score_opus":0.009056568398958272,"score_gpt":0.20628871736729004,"score_spread":0.19723214896833177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406011844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7609011,0.00053887104,0.2308376,0.00094109436,0.00010026876,0.000071497205,0.0005383411,0.000948347,0.0051229126],"genre_scores_gemma":[0.99153817,0.000042138872,0.007485635,0.00003335491,0.00002369636,0.000012328755,0.000120675395,0.000013584698,0.00073048944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999256,0.000016663866,0.0000054031693,0.000024245826,0.00001389535,0.0000141745895],"domain_scores_gemma":[0.9996275,0.00019811883,0.000038404196,0.000030013138,0.00008158346,0.000024362329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004622862,0.00044356866,0.0004634627,0.000469326,0.0003687726,0.00070368306,0.0007439623,0.00086284656,0.0011401153],"category_scores_gemma":[0.0010950483,0.00024767974,0.00040135626,0.00028875892,0.00022741385,0.0007188329,0.0003305984,0.0008555924,0.00023904532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012561184,0.00019042817,0.0058646803,0.00003070867,0.000046673595,0.00006423338,0.000023024006,0.9544279,0.002135398,0.0009949126,0.0005782612,0.035518087],"study_design_scores_gemma":[0.0000012279788,0.00000402278,0.00020967862,7.7314894e-7,0.0000013046996,0.0000011832592,0.0000015125444,0.9993536,0.00020829127,0.00019487002,0.000022253125,0.000001315764],"about_ca_topic_score_codex":0.009195397,"about_ca_topic_score_gemma":0.007764502,"teacher_disagreement_score":0.009195397,"about_ca_system_score_codex":0.0004471673,"about_ca_system_score_gemma":0.00060313224,"threshold_uncertainty_score":0.018283725},"labels":[],"label_agreement":null},{"id":"W4406518088","doi":"10.1016/j.renene.2025.122407","title":"Optimisation of the thermodynamic and environmental performances of a flat plate solar collector with multiple turbulators: An integrated experimental, numerical, and machine learning investigation","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Université de Sherbrooke","funders":"","keywords":"Turbulator; Mechanical engineering; Environmental science; Computer science; Engineering; Physics; Meteorology","score_opus":0.007973600238425492,"score_gpt":0.18782582643847628,"score_spread":0.17985222620005079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406518088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712294,0.00045065285,0.022631261,0.0001258902,0.00003371904,0.00006520729,0.00007524169,0.00015688475,0.0052318242],"genre_scores_gemma":[0.9948349,0.00006322282,0.0044476744,0.0000063176676,0.0000025535617,0.000017077038,0.000013678853,0.000009799638,0.00060467486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976176,0.000049590908,0.000013712815,0.000045975983,0.000095153315,0.000033845066],"domain_scores_gemma":[0.9995629,0.00019369934,0.00006058574,0.000068277914,0.000088737936,0.000025775373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008565415,0.0005008402,0.00073521264,0.0002884755,0.0006207896,0.0009826481,0.0008724486,0.0007954161,0.001059036],"category_scores_gemma":[0.0011868762,0.0004007805,0.0005642803,0.00043287137,0.00064748153,0.0007195707,0.0005202601,0.0005059931,0.00020633826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010296162,0.00043934496,0.003669057,0.00043751716,0.00010890622,0.00017897098,0.00009673746,0.7757982,0.18814972,0.0012476436,0.00027869863,0.028565729],"study_design_scores_gemma":[0.000073372095,0.0009957756,0.004051655,0.0000121482335,0.00006806153,0.00006497463,0.00007917761,0.8454143,0.1482874,0.0002956588,0.00062344834,0.00003402413],"about_ca_topic_score_codex":0.0025061057,"about_ca_topic_score_gemma":0.002704495,"teacher_disagreement_score":0.0025061057,"about_ca_system_score_codex":0.00066154014,"about_ca_system_score_gemma":0.0007284026,"threshold_uncertainty_score":0.004983008},"labels":[],"label_agreement":null},{"id":"W4406596071","doi":"10.1016/j.renene.2025.122468","title":"Role of carbo-catalyst on upgrading the pyrolysis vapors of spent Eucalyptus nicholii biomass: Towards sustainable phenolics production","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":5,"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":"Central Salt and Marine Chemicals Research Institute, Council of Scientific and Industrial Research; Indian Institute Of Petroleum, Council of Scientific and Industrial Research, India; University Grants Commission; Council of Scientific and Industrial Research, India; University of Alberta; RMIT University; Royal Melbourne Institute of Technology","keywords":"Biomass (ecology); Pyrolysis; Production (economics); Waste management; Pulp and paper industry; Environmental science; Sustainable production; Catalysis; Eucalyptus; Chemistry; Engineering; Botany; Organic chemistry; Biology; Agronomy; Economics","score_opus":0.0047283262045497805,"score_gpt":0.19715017307624946,"score_spread":0.1924218468716997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406596071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962599,0.0013167739,0.0010156201,0.000025328382,0.000014065554,0.000012821045,0.00007443346,0.000019117937,0.0012619836],"genre_scores_gemma":[0.9978896,0.00056590815,0.00085413933,0.000009381757,0.000002663544,0.0000040002533,0.000060983875,0.000007493155,0.00060589705],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999273,0.0000065894124,0.0000051226466,0.000014947664,0.00002690546,0.000019059842],"domain_scores_gemma":[0.9999523,0.0000093969375,0.00001050582,0.0000038134965,0.000012534539,0.000011439687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007744957,0.00026864468,0.00016954035,0.00021027609,0.000109697234,0.00025464126,0.0001953697,0.00017721951,0.0005456798],"category_scores_gemma":[0.00010399573,0.000098563076,0.00019718164,0.00012868179,0.00013662991,0.00023078381,0.00017489186,0.00024753125,0.00014076788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001369646,0.000025107784,0.00036656705,0.0001138315,0.000011358062,0.00005193189,0.0000131005445,0.00021712207,0.9958566,0.0000517935,0.000016936929,0.0031386153],"study_design_scores_gemma":[0.0000037283567,0.000089854,0.0021640447,0.0000056970975,0.000017981736,0.00005228372,0.000023088458,0.0009083093,0.9959383,0.000015656797,0.00077720865,0.0000040047826],"about_ca_topic_score_codex":0.0014338155,"about_ca_topic_score_gemma":0.0033610845,"teacher_disagreement_score":0.0014338155,"about_ca_system_score_codex":0.00017426314,"about_ca_system_score_gemma":0.00016198307,"threshold_uncertainty_score":0.0028508902},"labels":[],"label_agreement":null},{"id":"W4406607047","doi":"10.1016/j.renene.2025.122473","title":"Technical, economic and environmental potential of recycled polycarbonate solar photovoltaic frames","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","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":"Western University","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":"Photovoltaic system; Polycarbonate; Environmental science; Engineering physics; Waste management; Materials science; Engineering; Electrical engineering; Composite material","score_opus":0.002508575233729038,"score_gpt":0.1882455482676217,"score_spread":0.18573697303389264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406607047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820112,0.0013070164,0.0086358925,0.00007137799,0.000023322136,0.000020812173,0.00022192604,0.00003764557,0.0076708384],"genre_scores_gemma":[0.9929725,0.00059086113,0.0044252747,0.000008013236,0.000004313386,0.000011209228,0.00009858474,0.000010758139,0.0018784972],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996886,0.00003217052,0.000007935863,0.000030711817,0.00020134033,0.000039228937],"domain_scores_gemma":[0.99980515,0.00004469034,0.00003545108,0.000023207453,0.00007983144,0.000011739997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085201,0.00031829742,0.000140282,0.0007743011,0.0002500568,0.00069740973,0.00037269347,0.0004132637,0.0016688784],"category_scores_gemma":[0.00050328375,0.0001297316,0.00035035526,0.00054405426,0.00025859795,0.000652573,0.00019836362,0.00020512695,0.0003802057],"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":[0.0007379371,0.00026466532,0.013835108,0.0005845602,0.000060218998,0.0008154957,0.000096344644,0.10556169,0.73535585,0.0054411087,0.0005804942,0.13666654],"study_design_scores_gemma":[0.000041698677,0.0025932433,0.032356337,0.000098731325,0.00015162128,0.00051925244,0.00033742096,0.06165051,0.88671,0.0013209626,0.014133556,0.000086720895],"about_ca_topic_score_codex":0.0014841881,"about_ca_topic_score_gemma":0.004766748,"teacher_disagreement_score":0.0016688784,"about_ca_system_score_codex":0.0005231647,"about_ca_system_score_gemma":0.00034768257,"threshold_uncertainty_score":0.0055829287},"labels":[],"label_agreement":null},{"id":"W4406732690","doi":"10.1016/j.renene.2025.122456","title":"Techno-economic evaluation of electricity pricing structures on photovoltaic and photovoltaic-battery hybrid systems in Canada","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","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":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Battery (electricity); Electricity; Stand-alone power system; Photovoltaics; Automotive engineering; Rooftop photovoltaic power station; Environmental economics; Electricity pricing; Environmental science; Photovoltaic mounting system; Engineering; Electrical engineering; Business; Renewable energy; Economics; Electricity market; Distributed generation; Power (physics); Maximum power point tracking; Physics","score_opus":0.004700271945804,"score_gpt":0.1877356095034199,"score_spread":0.1830353375576159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406732690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97660214,0.0003533695,0.0015387926,0.0002683506,0.000012907254,0.00013812781,0.0023849022,0.000046821868,0.018654518],"genre_scores_gemma":[0.99639493,0.00016682573,0.00072557555,0.000015196762,0.000001920478,0.000012828409,0.00061273505,0.000008755643,0.0020612502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998825,0.00021864726,0.000038105474,0.00007925322,0.0005624153,0.00027657454],"domain_scores_gemma":[0.9980393,0.0006421633,0.00011837673,0.00006555227,0.000990169,0.00014453738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014525121,0.00044122012,0.00046501844,0.0011993479,0.0011084983,0.001925213,0.00090834085,0.0003998787,0.001839777],"category_scores_gemma":[0.0037546253,0.00024947812,0.0005980514,0.0022695756,0.0008222672,0.00063251774,0.00064826576,0.0005400803,0.00008324521],"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":[0.00076450675,0.00019338405,0.060212467,0.00022242666,0.00016686606,0.0004440977,0.00018144744,0.8938481,0.0026495133,0.011238861,0.003098032,0.026980303],"study_design_scores_gemma":[0.00013097716,0.00031412177,0.1604315,0.000062557825,0.00015655792,0.00009491814,0.0014586714,0.82437867,0.003902656,0.0018382289,0.007095833,0.000135343],"about_ca_topic_score_codex":0.97532845,"about_ca_topic_score_gemma":0.9820854,"teacher_disagreement_score":0.05697819,"about_ca_system_score_codex":0.05697819,"about_ca_system_score_gemma":0.01871836,"threshold_uncertainty_score":0.41340762},"labels":[],"label_agreement":null},{"id":"W4406788242","doi":"10.1016/j.renene.2025.122504","title":"A comparative techno-economic assessment between solar-based hydrogen production by methane pyrolysis and water electrolysis methods","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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 Alberta","funders":"Florida Engineering Society; Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen production; Methane; Waste management; Pyrolysis; Electrolysis of water; Environmental science; Production (economics); Electrolysis; Renewable energy; Steam reforming; Hydrogen; Process engineering; Chemistry; Engineering; Economics; Organic chemistry; Electrical engineering","score_opus":0.012891235501111532,"score_gpt":0.29916752223420434,"score_spread":0.2862762867330928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406788242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857943,0.0007440636,0.0024956258,0.00006553828,0.000010690651,0.00009865032,0.0005697463,0.000015034768,0.010206289],"genre_scores_gemma":[0.9960573,0.00064217026,0.0019105119,0.000005876622,0.0000036386818,0.000043184526,0.00031580272,0.000004274396,0.0010172484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992217,0.00016081856,0.000040696526,0.000052980668,0.00044228966,0.00008145754],"domain_scores_gemma":[0.99926203,0.0004183494,0.00006854157,0.000051325867,0.0001760326,0.000023766077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010859295,0.0005807509,0.00045134826,0.0024319792,0.0003821201,0.0012853354,0.0006191538,0.00060761883,0.0011837628],"category_scores_gemma":[0.0013772085,0.00026380035,0.00089420495,0.002367127,0.00044470347,0.0010585862,0.0004213931,0.00032370517,0.00014024321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004492491,0.0010200279,0.10229528,0.0018806354,0.00054595276,0.0023735887,0.00028912065,0.6108233,0.11704326,0.010093444,0.0016998545,0.147443],"study_design_scores_gemma":[0.00018384794,0.0063499897,0.25761616,0.0001296254,0.000441755,0.0007232587,0.0024577382,0.5103261,0.20843692,0.0026231455,0.01053418,0.00017721756],"about_ca_topic_score_codex":0.006018884,"about_ca_topic_score_gemma":0.0116369305,"teacher_disagreement_score":0.006018884,"about_ca_system_score_codex":0.002103417,"about_ca_system_score_gemma":0.0004385716,"threshold_uncertainty_score":0.015261412},"labels":[],"label_agreement":null},{"id":"W4406998650","doi":"10.1016/j.renene.2025.122556","title":"A multi-carrier energy system for electricity, desalinated water, and hydrogen production: Conceptual design and techno-economic optimization","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen production; Conceptual design; Production (economics); Energy carrier; Electricity; Environmental science; Environmental economics; Electricity generation; Process engineering; Environmental engineering; Engineering; Waste management; Hydrogen; Economics; Power (physics); Electrical engineering; Chemistry; Mechanical engineering; Thermodynamics; Microeconomics; Physics","score_opus":0.013248751417273354,"score_gpt":0.21829034659897542,"score_spread":0.20504159518170206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406998650","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29900467,0.002258296,0.64882284,0.00093006727,0.000117816715,0.00095862173,0.00026933366,0.00033934173,0.047299],"genre_scores_gemma":[0.93735677,0.0007271558,0.057248693,0.000032335778,0.000016780446,0.0004917148,0.00006593699,0.000021008387,0.0040396703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977654,0.000051003088,0.0000074119394,0.00004272911,0.00009284707,0.000029483095],"domain_scores_gemma":[0.99990547,0.00003470266,0.00001755306,0.000007000928,0.000021610407,0.000013747236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004602855,0.0005908979,0.0005977654,0.0005685938,0.0007118114,0.001331514,0.001166144,0.001078285,0.0029349574],"category_scores_gemma":[0.0004456458,0.0005424659,0.0005810675,0.00053074874,0.00062776817,0.0012979766,0.0007981951,0.00067687617,0.0003316743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008944286,0.00010783776,0.00057088904,0.00018721416,0.000025700112,0.00024449205,0.00004008679,0.95678765,0.011076079,0.013469763,0.000273921,0.01712695],"study_design_scores_gemma":[0.000028866949,0.00022004098,0.00023284575,0.000011249407,0.00001773,0.00003279372,0.000024946812,0.9945598,0.0020701594,0.0015559577,0.0012347484,0.0000108615795],"about_ca_topic_score_codex":0.003598901,"about_ca_topic_score_gemma":0.0053195423,"teacher_disagreement_score":0.003598901,"about_ca_system_score_codex":0.0012955779,"about_ca_system_score_gemma":0.0018254572,"threshold_uncertainty_score":0.009818435},"labels":[],"label_agreement":null},{"id":"W4407028916","doi":"10.1016/j.renene.2025.122551","title":"Multifunctional nanocomposite active layers synergistically enhance the performance of reversible proton ceramic cell","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","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":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Nanocomposite; Ceramic; Materials science; Proton; Composite material; Nanotechnology; Chemical engineering; Engineering; Physics","score_opus":0.005931865212785261,"score_gpt":0.2375164765307077,"score_spread":0.23158461131792243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407028916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98767555,0.0022883806,0.0040751323,0.000084585474,0.00008408321,0.000014177801,0.00008573702,0.00024365808,0.0054487893],"genre_scores_gemma":[0.99620146,0.000422964,0.0011639567,0.00002123836,0.000012195572,0.000005763952,0.00003946639,0.000017996937,0.0021148582],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999242,0.000005634072,0.0000042114916,0.000020543606,0.000024839946,0.00002064936],"domain_scores_gemma":[0.99995625,0.000010693015,0.000009610602,0.0000033332121,0.000011274079,0.000008798594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007645556,0.00034408047,0.00019003695,0.00022621556,0.00010951464,0.00039611387,0.00025139426,0.00032197943,0.0014809354],"category_scores_gemma":[0.00011551119,0.00018707487,0.00020310214,0.0001446334,0.00012666055,0.00038180785,0.0002904379,0.00031840848,0.00033296214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068939975,0.000019836752,0.000047322188,0.000050336654,0.00000766498,0.000021548984,0.000007707952,0.00013396928,0.996628,0.00010441183,0.000108698965,0.0028015953],"study_design_scores_gemma":[0.0000049475548,0.000052745185,0.00029030416,0.000002276764,0.000015470026,0.000026969012,0.000006802142,0.001515139,0.9968622,0.000011340001,0.0012084442,0.0000034659738],"about_ca_topic_score_codex":0.00023306673,"about_ca_topic_score_gemma":0.0009205561,"teacher_disagreement_score":0.0014809354,"about_ca_system_score_codex":0.00014717865,"about_ca_system_score_gemma":0.00007429448,"threshold_uncertainty_score":0.004954219},"labels":[],"label_agreement":null},{"id":"W4407278585","doi":"10.1016/j.renene.2025.122630","title":"Advanced exergy and exergoeconomic analyses and multi-objective optimization of geothermal-driven organic flash cycles","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","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":"Innovation Cluster (Canada)","funders":"","keywords":"Exergy; Geothermal gradient; Flash (photography); Process engineering; Environmental science; Waste management; Biochemical engineering; Engineering; Geology; Physics","score_opus":0.0065106169152820475,"score_gpt":0.22916550972433097,"score_spread":0.22265489280904893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407278585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6787574,0.0016696902,0.29164153,0.0003323704,0.000052812036,0.000119490396,0.0005996722,0.00011762867,0.02670937],"genre_scores_gemma":[0.98786175,0.00038045563,0.0079235565,0.000016890359,0.000014186452,0.000056367557,0.00013624976,0.000023111366,0.0035875419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999323,0.000021632866,0.0000026714079,0.000006332634,0.000022812084,0.000014302801],"domain_scores_gemma":[0.9999021,0.00006272629,0.0000081270555,0.000003950358,0.00001785605,0.000005251542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037425006,0.0005522449,0.0005615914,0.0005337646,0.00023342857,0.000694022,0.00031106835,0.000339702,0.0015069254],"category_scores_gemma":[0.000451159,0.00024202968,0.0006847512,0.00046985305,0.00035408343,0.0004377129,0.0004087622,0.0004470145,0.00009376834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000136828985,0.000013963672,0.00013110835,0.000018197357,0.000009554636,0.000010307828,0.0000041459593,0.9954585,0.0006556752,0.0011993756,0.00003887827,0.0024465467],"study_design_scores_gemma":[0.0000034531836,0.000015968519,0.00031161858,0.0000020471225,0.000003913492,0.000002470111,0.000009119217,0.9975368,0.0005423328,0.0014153159,0.0001545964,0.0000023794644],"about_ca_topic_score_codex":0.0072409515,"about_ca_topic_score_gemma":0.009011588,"teacher_disagreement_score":0.0072409515,"about_ca_system_score_codex":0.00069514435,"about_ca_system_score_gemma":0.00066304015,"threshold_uncertainty_score":0.014397621},"labels":[],"label_agreement":null},{"id":"W4407610776","doi":"10.1016/j.renene.2025.122682","title":"Influence of control strategy on the energetic performance of an air source heat pump coupled with a solar air collector for domestic hot water in a cold climate","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Energy Systems and Technologies","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Calgary","keywords":"Environmental science; Cold climate; Meteorology; Atmospheric sciences; Physics","score_opus":0.003917090808638925,"score_gpt":0.18346072775311117,"score_spread":0.17954363694447226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407610776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916803,0.00028648973,0.0055744704,0.000049070288,0.000038310667,0.000025422101,0.000023407034,0.00006280676,0.0022597404],"genre_scores_gemma":[0.99935013,0.000050907478,0.00041669313,0.0000065937975,0.0000020692125,0.000008815881,0.0000072381827,0.000002699529,0.00015484494],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997837,0.000032580592,0.000021165244,0.000047280413,0.00005100734,0.000064249994],"domain_scores_gemma":[0.999546,0.000191463,0.00008597342,0.000023864282,0.000118065305,0.000034525394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000362732,0.0005901654,0.00038427374,0.00029423082,0.00031189303,0.00077756896,0.0003305776,0.00043145072,0.0012547605],"category_scores_gemma":[0.00091287674,0.00019745651,0.00024239339,0.00012858758,0.00026100487,0.0003333026,0.00025951207,0.00026581358,0.0001703324],"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":[0.003866991,0.0008468005,0.006813115,0.0010084696,0.00020428306,0.0007133655,0.00045991575,0.095790625,0.84415025,0.0005554621,0.00051649247,0.045074265],"study_design_scores_gemma":[0.00028007536,0.007599176,0.0467894,0.0001038695,0.0004192549,0.00024354052,0.0008695999,0.46871024,0.47276744,0.000167288,0.001943845,0.000106240965],"about_ca_topic_score_codex":0.0021074424,"about_ca_topic_score_gemma":0.001967769,"teacher_disagreement_score":0.0021074424,"about_ca_system_score_codex":0.00021568993,"about_ca_system_score_gemma":0.00028003549,"threshold_uncertainty_score":0.0041975975},"labels":[],"label_agreement":null},{"id":"W4407626438","doi":"10.1016/j.renene.2025.122692","title":"A reinforcement learning-based ensemble forecasting framework for renewable energy forecasting","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy Load and Power Forecasting","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 Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Reinforcement learning; Renewable energy; Probabilistic forecasting; Ensemble learning; Computer science; Artificial intelligence; Demand forecasting; Technology forecasting; Machine learning; Engineering; Operations research","score_opus":0.019251033894858122,"score_gpt":0.22529882533696197,"score_spread":0.20604779144210383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407626438","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021257484,0.00038906877,0.9761574,0.0001428542,0.00006126465,0.000032611282,0.00007512131,0.00045400008,0.0014300304],"genre_scores_gemma":[0.8589362,0.0004045056,0.13804814,0.00010287453,0.0000932754,0.000144179,0.0002783871,0.00005021658,0.0019422325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996184,0.00011615996,0.00002336281,0.0000831301,0.00010493367,0.00005391312],"domain_scores_gemma":[0.99942976,0.00022691757,0.000064809,0.00004017832,0.00020079123,0.000037579895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011555842,0.0006919516,0.0009623061,0.0005002093,0.00033895523,0.0005471277,0.0010914152,0.00053451525,0.0011076438],"category_scores_gemma":[0.0019933083,0.00029031275,0.0005955904,0.0005155037,0.0002712472,0.0007730906,0.000654312,0.0010673247,0.00022528593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044593613,0.000045707533,0.001125942,0.000021278065,0.00005594439,0.000038427508,0.000030899195,0.93457043,0.00086860126,0.0031294182,0.0007413672,0.05932733],"study_design_scores_gemma":[0.0000017226889,0.0000068524846,0.00005706841,0.0000011152542,0.0000031712216,0.0000024254775,0.0000010094834,0.99925786,0.000068815854,0.00050710037,0.000091039255,0.0000017314183],"about_ca_topic_score_codex":0.016341193,"about_ca_topic_score_gemma":0.0132508315,"teacher_disagreement_score":0.016341193,"about_ca_system_score_codex":0.00061934086,"about_ca_system_score_gemma":0.00096416037,"threshold_uncertainty_score":0.0324921},"labels":[],"label_agreement":null},{"id":"W4407870615","doi":"10.1016/j.renene.2025.122729","title":"Optimization of hybrid renewable energy systems for remote communities in northern Canada","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":21,"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 Guelph","funders":"","keywords":"Renewable energy; Environmental science; Remote sensing; Geography; Engineering; Electrical engineering","score_opus":0.010065204484162465,"score_gpt":0.20846010732993317,"score_spread":0.19839490284577072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407870615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93985647,0.00066859147,0.030596778,0.00024701416,0.000026816113,0.00023587751,0.0006776917,0.00019608621,0.027494628],"genre_scores_gemma":[0.9913651,0.00013022487,0.0051914416,0.000020591973,0.0000017404935,0.000039486004,0.00017496602,0.000016098307,0.003060397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997942,0.000034629214,0.0000055217047,0.000030476062,0.000059313053,0.00007588498],"domain_scores_gemma":[0.9998677,0.00004335072,0.000013474661,0.000004568714,0.000046558012,0.00002436235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003183241,0.0008533453,0.00046218527,0.00047153473,0.0010642974,0.0012529506,0.00074033526,0.00046110497,0.0024128351],"category_scores_gemma":[0.00046484047,0.0003401706,0.00044484827,0.0006688948,0.00047753126,0.00031035003,0.0005670076,0.00038023363,0.0001488453],"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":[0.00005983277,0.000039252725,0.0016023032,0.000038132406,0.00002282852,0.00008683726,0.00001834281,0.99082047,0.0010082334,0.0006228448,0.00030579837,0.005375119],"study_design_scores_gemma":[0.000049451424,0.000092253686,0.0044095675,0.000010502251,0.000023016883,0.000022332973,0.00025448896,0.9925527,0.0008790337,0.00064511923,0.0010442811,0.000017213402],"about_ca_topic_score_codex":0.76225406,"about_ca_topic_score_gemma":0.8640724,"teacher_disagreement_score":0.23774594,"about_ca_system_score_codex":0.0076116407,"about_ca_system_score_gemma":0.0063867797,"threshold_uncertainty_score":0.4782921},"labels":[],"label_agreement":null},{"id":"W4408286457","doi":"10.1016/j.renene.2025.122852","title":"A comparative study on optimizing multi-generation systems for zero energy buildings in the USA, South Korea, Canada, and England using machine learning and response surface methodology","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":5,"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":"National Research Foundation of Korea","keywords":"Zero-point energy; Zero (linguistics); Energy (signal processing); New england; Architectural engineering; Engineering; Computer science; Mathematics; Statistics; Economics; Physics","score_opus":0.09810174741226516,"score_gpt":0.3401070013176767,"score_spread":0.24200525390541153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408286457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99443865,0.00020268114,0.0022309357,0.00006846137,0.000004136825,0.00005826316,0.00010287104,0.000049272705,0.0028447346],"genre_scores_gemma":[0.99814,0.000067782836,0.00094607164,0.0000059283875,6.438153e-7,0.000012637834,0.00010088563,0.000007632736,0.0007184225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994197,0.0002506311,0.000025454214,0.000059622766,0.0001269174,0.00011771121],"domain_scores_gemma":[0.99877065,0.0007101538,0.000054087923,0.000044852954,0.0003683595,0.00005186675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001060514,0.00053970906,0.0008128482,0.00055398355,0.00068928563,0.0011683962,0.0006492145,0.00047885973,0.0009667248],"category_scores_gemma":[0.002330079,0.00024816595,0.0004724987,0.000898994,0.00037713154,0.00060551707,0.00033825455,0.00043283735,0.00008264409],"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":[0.0008324719,0.0003878501,0.027720235,0.0002994773,0.00015132055,0.0002775323,0.0003012803,0.92655283,0.0044581858,0.002064653,0.0009530939,0.03600103],"study_design_scores_gemma":[0.00015600598,0.0013710589,0.120831035,0.000030162948,0.00022763989,0.00007863153,0.0025717148,0.8642429,0.007057724,0.000690181,0.0026795932,0.000063351516],"about_ca_topic_score_codex":0.47988924,"about_ca_topic_score_gemma":0.61978,"teacher_disagreement_score":0.5201107,"about_ca_system_score_codex":0.005710595,"about_ca_system_score_gemma":0.002646664,"threshold_uncertainty_score":0.954192},"labels":[],"label_agreement":null},{"id":"W4408392825","doi":"10.1016/j.renene.2025.122906","title":"Enabling fractured-vuggy reservoirs for large-scale gas storage: Green hydrogen, natural gas, and carbon dioxide","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hydraulic Fracturing and Reservoir Analysis","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Sichuan Province Science and Technology Support Program; Alberta Innovates; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China; Energi Simulation","keywords":"Carbon dioxide; Natural gas; Environmental science; Petroleum engineering; Scale (ratio); Hydrogen; Hydrogen storage; Hydrogen sulphide; Waste management; Chemistry; Geology; Engineering; Organic chemistry; Physics","score_opus":0.0043574023839448445,"score_gpt":0.20658048415049574,"score_spread":0.2022230817665509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408392825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83491176,0.0010527426,0.15212299,0.0011821046,0.00019083143,0.00004406301,0.0005334369,0.0014130983,0.00854892],"genre_scores_gemma":[0.9847615,0.00017528184,0.013820151,0.000027777765,0.0000049880264,0.000012614322,0.00007990888,0.000030896063,0.0010871054],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999052,0.000010345839,0.0000034732466,0.000011825814,0.00004194139,0.000027201928],"domain_scores_gemma":[0.99989843,0.000029947925,0.000010754994,0.000020019259,0.000027594006,0.000013317375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002598022,0.00017902815,0.00024827366,0.00020625818,0.00049441727,0.000893739,0.0005612029,0.0005075824,0.0018363249],"category_scores_gemma":[0.000556096,0.00018617498,0.00019729955,0.0002766784,0.0006108001,0.0013991032,0.0011101046,0.0006009165,0.00022119483],"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":[0.00091778865,0.00023613016,0.0095638465,0.00040671666,0.00008248818,0.00083664333,0.00041233585,0.30361253,0.4414096,0.10634678,0.005772795,0.13040219],"study_design_scores_gemma":[0.000048889102,0.00031588174,0.001862287,0.000045646124,0.00002117824,0.00017210837,0.00027820957,0.7348216,0.23154724,0.020233404,0.010583398,0.00007021063],"about_ca_topic_score_codex":0.0028357194,"about_ca_topic_score_gemma":0.00775433,"teacher_disagreement_score":0.0028357194,"about_ca_system_score_codex":0.00058636395,"about_ca_system_score_gemma":0.0011646182,"threshold_uncertainty_score":0.0061431527},"labels":[],"label_agreement":null},{"id":"W4408566406","doi":"10.1016/j.renene.2025.122913","title":"Impacts of type of partial transparency on strawberry agrivoltaics: Uniform illumination thin film cadmium-telluride and non-uniform crystalline silicon solar photovoltaic modules","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Weston Family Foundation","keywords":"Cadmium telluride photovoltaics; Photovoltaic system; Transparency (behavior); Materials science; Silicon; Optoelectronics; Thin film; Crystalline silicon; Telluride; Optics; Engineering physics; Nanotechnology; Metallurgy; Computer science; Electrical engineering; Engineering; Physics","score_opus":0.007958159792974848,"score_gpt":0.2284120915536417,"score_spread":0.22045393176066685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408566406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988532,0.000074366544,0.00030331584,0.0000109440725,0.0000033045762,0.0000071881414,0.00008858551,0.000015456815,0.0006435785],"genre_scores_gemma":[0.99865365,0.000064098465,0.00039535706,0.000025003577,0.0000014131502,0.000006339294,0.00014898836,0.000011754738,0.00069351064],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997937,0.000031866337,0.000011069867,0.000047114077,0.00008284557,0.0000333631],"domain_scores_gemma":[0.9997193,0.000087027736,0.000069031514,0.000020834414,0.000058340913,0.00004536191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001433331,0.00023725202,0.00019903143,0.0001929512,0.00021457858,0.00051374664,0.0002543096,0.0002285836,0.0014052772],"category_scores_gemma":[0.0002460505,0.000116794756,0.0002972627,0.00024711457,0.00018119959,0.00022997941,0.00027022502,0.00024713835,0.00012026324],"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":[0.000884633,0.00010446935,0.0194414,0.00014708184,0.000068333036,0.00023250973,0.00012169465,0.0013290588,0.96984226,0.000094714625,0.000090209316,0.0076436624],"study_design_scores_gemma":[0.000035135956,0.0020551167,0.40006676,0.00001657045,0.00014414056,0.00034414843,0.0004668865,0.0027999743,0.59189826,0.00006206542,0.0020885994,0.000022237624],"about_ca_topic_score_codex":0.0033944484,"about_ca_topic_score_gemma":0.008096303,"teacher_disagreement_score":0.0033944484,"about_ca_system_score_codex":0.00053736166,"about_ca_system_score_gemma":0.00020062736,"threshold_uncertainty_score":0.0067493916},"labels":[],"label_agreement":null},{"id":"W4408735500","doi":"10.1016/j.renene.2025.122948","title":"Comprehensive assessment of an integrated energy system with EVs in a PV-equipped station-city complex","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"Natural Science Foundation of Sichuan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Photovoltaic system; Systems engineering; Engineering; Computer science; Automotive engineering; Environmental science; Electrical engineering","score_opus":0.008036273415195342,"score_gpt":0.23102805324259204,"score_spread":0.2229917798273967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408735500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993001,0.000033555658,0.0037248025,0.000042115083,0.0000039040356,0.000042778873,0.00034993136,0.00008969166,0.0027123156],"genre_scores_gemma":[0.99836093,0.000019571286,0.0006087468,0.0000034734433,0.0000010607212,0.000010742595,0.000117970994,0.0000080659765,0.0008693639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997304,0.00006245731,0.000011812937,0.000047909383,0.00008966893,0.000057824698],"domain_scores_gemma":[0.999708,0.000078394434,0.00003011146,0.000023356683,0.00011101525,0.0000489455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036812504,0.0006995955,0.0006998062,0.0006205716,0.00062831555,0.001482179,0.0008149058,0.00093972986,0.0015125263],"category_scores_gemma":[0.00049757597,0.00042793117,0.00070527854,0.0010055332,0.000498809,0.0010324351,0.0007528856,0.0005011234,0.00023579765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004046502,0.00018841658,0.020872008,0.000051550036,0.00012789431,0.0005812302,0.000086466345,0.96198565,0.007567046,0.0007819831,0.00038511356,0.006968131],"study_design_scores_gemma":[0.00003923287,0.0003587254,0.030560777,0.00000792988,0.0001338715,0.000064549975,0.00031408947,0.9645532,0.0030515117,0.0003632746,0.0005286875,0.00002418854],"about_ca_topic_score_codex":0.048098996,"about_ca_topic_score_gemma":0.05524088,"teacher_disagreement_score":0.048098996,"about_ca_system_score_codex":0.0018453002,"about_ca_system_score_gemma":0.0012326785,"threshold_uncertainty_score":0.09563804},"labels":[],"label_agreement":null},{"id":"W4409290713","doi":"10.1016/j.renene.2025.123096","title":"Transformation of organic wastewater into biomethane using a bioelectrochemical system with varying applied voltages","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","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":"Lakehead University","funders":"Key Research and Development Projects of Shaanxi Province; Agriculture Research System of China","keywords":"Wastewater; Biogas; Transformation (genetics); Voltage; Environmental science; Waste management; Environmental engineering; Engineering; Chemistry; Electrical engineering","score_opus":0.004528098584722869,"score_gpt":0.18590030567387297,"score_spread":0.1813722070891501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409290713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983529,0.000083920895,0.00092625694,0.000024246392,0.0000069992357,0.000007964045,0.00006114342,0.000022455728,0.00051410124],"genre_scores_gemma":[0.9979,0.00010020243,0.0010698334,0.000009156409,0.00000150999,0.0000041563735,0.000082014725,0.000008532962,0.00082451984],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987376,0.000017524872,0.000014043782,0.000027093603,0.0000320602,0.000035481047],"domain_scores_gemma":[0.9999473,0.000015795484,0.0000090851545,0.0000052198325,0.000011693672,0.00001090391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013188456,0.0002604776,0.00015778432,0.00017934285,0.0001560554,0.00037205964,0.00016687698,0.0003060516,0.00072087033],"category_scores_gemma":[0.00023244954,0.00011007939,0.00017703288,0.00021341738,0.0001312067,0.00023737217,0.00017353025,0.00024153267,0.00015552212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010456332,0.00001682732,0.00014223362,0.000018569232,0.0000029847456,0.000026019277,0.00001602775,0.00014527343,0.99810433,0.000028058417,0.000009890602,0.0013851866],"study_design_scores_gemma":[0.0000050632852,0.000050485287,0.00027410302,9.018464e-7,0.0000023322573,0.0000109998655,0.000009837654,0.00042308727,0.99905425,0.000007060393,0.00016043105,0.0000014060315],"about_ca_topic_score_codex":0.0016093686,"about_ca_topic_score_gemma":0.002471411,"teacher_disagreement_score":0.0016093686,"about_ca_system_score_codex":0.00027012225,"about_ca_system_score_gemma":0.0003636977,"threshold_uncertainty_score":0.0032000542},"labels":[],"label_agreement":null},{"id":"W4409323712","doi":"10.1016/j.renene.2025.123100","title":"Credible capacity gain identification method of peak-shaving scheduling of cascade hydro-wind-solar complementary system","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","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":"United Nations University Institute for Water, Environment, and Health","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Cascade; Environmental science; Scheduling (production processes); Peaking power plant; Computer science; Meteorology; Engineering; Electrical engineering; Physics; Renewable energy; Operations management","score_opus":0.012562358150088127,"score_gpt":0.23672896523902986,"score_spread":0.22416660708894173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409323712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03760014,0.00028298897,0.9531821,0.00016709555,0.000053583106,0.000065034714,0.000059407208,0.00022001674,0.008369591],"genre_scores_gemma":[0.9746799,0.00013283394,0.022632198,0.000028671438,0.000026071531,0.00008379817,0.000060485767,0.000035308603,0.0023208302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996666,0.00011366682,0.000013733378,0.0000692339,0.00008114436,0.000055652177],"domain_scores_gemma":[0.9991818,0.00050231826,0.00006800778,0.000031928055,0.00018492814,0.000030950396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011174616,0.00085766445,0.0010802854,0.0006106552,0.00057619205,0.0010934408,0.0008680025,0.00075200445,0.0031671966],"category_scores_gemma":[0.002627758,0.00049741234,0.0005982427,0.00042848795,0.00058787543,0.00091368216,0.0007916043,0.0012326227,0.00025803273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005397343,0.000018032411,0.00021663145,0.000058532427,0.000019675528,0.000038982747,0.00004043333,0.9811654,0.0011176165,0.0054809065,0.0004708883,0.01131887],"study_design_scores_gemma":[0.0000025177515,0.0000066292496,0.000055871682,0.0000028941745,0.0000027526428,0.0000030466651,0.0000037105453,0.99892956,0.00014838736,0.00077757647,0.00006450772,0.00000258418],"about_ca_topic_score_codex":0.009682032,"about_ca_topic_score_gemma":0.0066029266,"teacher_disagreement_score":0.009682032,"about_ca_system_score_codex":0.00082998374,"about_ca_system_score_gemma":0.0013789461,"threshold_uncertainty_score":0.019251347},"labels":[],"label_agreement":null},{"id":"W4409545638","doi":"10.1016/j.renene.2025.123186","title":"Estimating the microbial lipid synthesis and environmental impacts of Yarrowia lipolytica under four cultivation modes","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","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":"123 Certification (Canada)","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program","keywords":"Yarrowia; Food science; Biotechnology; Chemistry; Biology; Biochemistry; Yeast","score_opus":0.004790942026179158,"score_gpt":0.19628495163942447,"score_spread":0.1914940096132453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409545638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985066,0.00018384233,0.0007742466,0.000012629522,0.000003636813,0.000010256983,0.00024878324,0.00001262857,0.00024724938],"genre_scores_gemma":[0.9963821,0.00032593924,0.0019521286,0.000016231828,0.000002649177,0.000044846765,0.00067754515,0.000008283721,0.0005903426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965954,0.000048785616,0.00003210736,0.000096972755,0.000096184536,0.00006645672],"domain_scores_gemma":[0.999718,0.000111520094,0.000054728214,0.000024714938,0.00006095088,0.00003007729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003291772,0.00060415146,0.0002905617,0.00031822186,0.00021469542,0.0004654646,0.00023646858,0.00040906802,0.00047897207],"category_scores_gemma":[0.00045603365,0.00018975596,0.00038107604,0.00044653472,0.00019130777,0.00051920535,0.00041040813,0.0005406355,0.00022611293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031069064,0.000052001502,0.0044552432,0.000037025016,0.0000141347655,0.000020779138,0.000014333674,0.0003519772,0.9931058,0.00001742108,0.000007682704,0.0016129023],"study_design_scores_gemma":[0.000011646708,0.000634645,0.033399884,0.0000050917884,0.00006521176,0.00003332638,0.0000930179,0.0021131977,0.96339625,0.00003244961,0.00020540535,0.000009967507],"about_ca_topic_score_codex":0.0018586232,"about_ca_topic_score_gemma":0.0019467794,"teacher_disagreement_score":0.0018586232,"about_ca_system_score_codex":0.00036032303,"about_ca_system_score_gemma":0.00028881014,"threshold_uncertainty_score":0.0036956668},"labels":[],"label_agreement":null},{"id":"W4410118314","doi":"10.1016/j.renene.2025.123379","title":"Enhancement of gasification performance of Sesamum indicum stalk residue and Oryza sativa husk through densification and co-gasification with Prosopis juliflora","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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":"Memorial University of Newfoundland","funders":"Thailand Science Research and Innovation; King Mongkut's University of Technology North Bangkok; Department of Science and Technology, Ministry of Science and Technology, India; Shastri Indo-Canadian Institute","keywords":"Sesamum; Husk; Prosopis juliflora; Oryza sativa; Stalk; Residue (chemistry); Agronomy; Pulp and paper industry; Botany; Chemistry; Environmental science; Waste management; Horticulture; Biology; Engineering; Organic chemistry","score_opus":0.0063985650591932815,"score_gpt":0.2036826874291312,"score_spread":0.19728412236993792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410118314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888605,0.0003299385,0.00034398286,0.000012385509,0.000008264356,0.000004058363,0.00004992879,0.000013382786,0.00035211636],"genre_scores_gemma":[0.99851245,0.0002569698,0.00033120072,0.000005602174,0.0000021694855,0.0000035406003,0.000082333005,0.00000485276,0.00080099766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999542,0.0000031895852,0.0000037561108,0.000008999448,0.000013467399,0.000016314245],"domain_scores_gemma":[0.9999771,0.0000030404337,0.000006763392,0.000001935823,0.0000050098265,0.0000060902144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008503025,0.00038203687,0.0001809175,0.00020779611,0.00011495683,0.00018257156,0.00015853187,0.00013156452,0.00045143822],"category_scores_gemma":[0.00005423674,0.00008955055,0.00031986463,0.00020031845,0.00008878945,0.00029254524,0.00017068225,0.00024273801,0.00010519839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015459032,0.000033323446,0.0002948109,0.00004065541,0.000006764893,0.00003980186,0.000014709606,0.00020991686,0.9973092,0.00005184867,0.000013581969,0.0018307501],"study_design_scores_gemma":[0.0000043076193,0.00013103826,0.002430493,0.0000023726582,0.000013851153,0.000024618823,0.000023347278,0.0011471029,0.99582916,0.000013731154,0.00037606608,0.0000039201464],"about_ca_topic_score_codex":0.0013160112,"about_ca_topic_score_gemma":0.0026176772,"teacher_disagreement_score":0.0013160112,"about_ca_system_score_codex":0.00018007144,"about_ca_system_score_gemma":0.00015963054,"threshold_uncertainty_score":0.0026167035},"labels":[],"label_agreement":null},{"id":"W4410246268","doi":"10.1016/j.renene.2025.123390","title":"Clustering-driven design and predictive control of hybrid PV-battery storage systems for demand response in energy communities","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Smart Grid Energy Management","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":true,"ca_institutions":"Hydro-Québec; Collège Shawinigan; University of Waterloo; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec","keywords":"Demand response; Cluster analysis; Battery (electricity); Battery storage; Model predictive control; Energy storage; Control (management); Computer science; Photovoltaic system; Automotive engineering; Environmental science; Engineering; Electrical engineering; Machine learning; Artificial intelligence; Power (physics); Electricity","score_opus":0.008960508546860778,"score_gpt":0.19488571828762424,"score_spread":0.18592520974076346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410246268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14391822,0.0002792862,0.8404557,0.00022740048,0.000049560545,0.00017299072,0.00012231705,0.0007952748,0.013979128],"genre_scores_gemma":[0.9920643,0.000032627064,0.006942812,0.0000130361395,0.0000039465776,0.000056069428,0.000026530724,0.000012169737,0.00084851653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975604,0.000052011084,0.0000100125335,0.000057238394,0.000084594154,0.000040041807],"domain_scores_gemma":[0.9997385,0.00008183714,0.000058398306,0.000017417737,0.00008745815,0.000016380014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042120292,0.0005211885,0.00043055977,0.00022291804,0.00042990642,0.0008498029,0.00083275966,0.00038088628,0.0012181597],"category_scores_gemma":[0.00068853225,0.0003368772,0.0003313184,0.00025133532,0.00038097435,0.0003603318,0.00059297495,0.00046491402,0.00022242568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057716356,0.000033047418,0.00026147408,0.000037008387,0.00001460661,0.000027848548,0.00003369395,0.9830036,0.0036434105,0.0011352848,0.00025281624,0.011499486],"study_design_scores_gemma":[0.000004043167,0.000028505501,0.00013991613,0.000001736346,0.000002865758,0.0000034052498,0.0000074801164,0.9987159,0.00065854506,0.0003058198,0.00012942521,0.00000226148],"about_ca_topic_score_codex":0.010121818,"about_ca_topic_score_gemma":0.013011057,"teacher_disagreement_score":0.010121818,"about_ca_system_score_codex":0.00075691025,"about_ca_system_score_gemma":0.0008363656,"threshold_uncertainty_score":0.020125806},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4410345623","doi":"10.1016/j.renene.2025.123453","title":"A novel microwave heating-assisted reactor for industrial-scale syngas production","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; OCP Group","keywords":"Syngas; Process engineering; Microwave; Production (economics); Microwave heating; Scale (ratio); Environmental science; Waste management; Chemistry; Engineering; Physics; Catalysis; Telecommunications","score_opus":0.024819960865969118,"score_gpt":0.24545769891142777,"score_spread":0.22063773804545866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410345623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.894553,0.0053635025,0.084874004,0.0007238982,0.00054707093,0.00023241778,0.0005480514,0.0019242889,0.0112337405],"genre_scores_gemma":[0.9672936,0.001135395,0.026866522,0.00009698891,0.000103838196,0.00008259193,0.00023294048,0.00006818805,0.004119967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998385,0.000017358618,0.000009409004,0.000048704762,0.000061209415,0.000024797842],"domain_scores_gemma":[0.9999616,0.000008186559,0.0000075701028,0.0000065650875,0.00000604923,0.000009928853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023484477,0.0003551827,0.0004806973,0.00026393245,0.00030095017,0.0003898435,0.0009563891,0.000564261,0.0014163206],"category_scores_gemma":[0.00014559549,0.00026114972,0.00032517593,0.00018013772,0.00020320869,0.0006644974,0.00043698688,0.0006576584,0.00077579974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012285814,0.000060971634,0.000119195785,0.0001522294,0.000016154981,0.00010213535,0.0000190108,0.00024146159,0.9886883,0.00063878496,0.00044381694,0.009395117],"study_design_scores_gemma":[0.00007361761,0.00043366532,0.00092222716,0.0000071629465,0.000034041004,0.00037165647,0.000016198963,0.011948862,0.9746372,0.00012244801,0.011408928,0.00002397049],"about_ca_topic_score_codex":0.0002528739,"about_ca_topic_score_gemma":0.00064021815,"teacher_disagreement_score":0.0014163206,"about_ca_system_score_codex":0.00025475345,"about_ca_system_score_gemma":0.0002851466,"threshold_uncertainty_score":0.0047380924},"labels":[],"label_agreement":null},{"id":"W4410452250","doi":"10.1016/j.renene.2025.123473","title":"Optimal adoption and cost-effectiveness of rooftop solar and wind turbines for community energy systems under climate change","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; China Scholarship Council; University of Alberta","keywords":"Climate change; Wind power; Environmental science; Renewable energy; Meteorology; Environmental economics; Natural resource economics; Engineering; Geography; Economics; Oceanography; Electrical engineering; Geology","score_opus":0.019828836769828655,"score_gpt":0.2377886537589498,"score_spread":0.21795981698912115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410452250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837159,0.0001437533,0.008911178,0.00017818158,0.000009004361,0.000090016016,0.00025685813,0.00003220984,0.006662867],"genre_scores_gemma":[0.9974778,0.000053820655,0.0020165923,0.000009835555,8.1966033e-7,0.000016483302,0.00005614585,0.000004881366,0.0003636616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996506,0.000093147275,0.000009387384,0.000045225624,0.0000595897,0.0001419706],"domain_scores_gemma":[0.9996276,0.00015380984,0.00004437707,0.000017961,0.00011288138,0.00004345031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075008126,0.0005729754,0.00043561126,0.0004126187,0.0005638524,0.0011422406,0.0007733919,0.0005629687,0.0012730198],"category_scores_gemma":[0.0018247248,0.00029432564,0.00045637813,0.00050862075,0.00043103244,0.00079477584,0.000504154,0.00047746618,0.000068387315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007331852,0.000061642895,0.010778919,0.00003622524,0.000047581496,0.00004365566,0.000023600036,0.9805791,0.0009714992,0.0014885366,0.00024347291,0.005652483],"study_design_scores_gemma":[0.000021920188,0.00012826559,0.01336787,0.0000099807485,0.000056240613,0.000011848545,0.00027371442,0.9838537,0.0008708565,0.00090933015,0.00048313095,0.000013099681],"about_ca_topic_score_codex":0.3220778,"about_ca_topic_score_gemma":0.48835883,"teacher_disagreement_score":0.3220778,"about_ca_system_score_codex":0.0051150005,"about_ca_system_score_gemma":0.004565602,"threshold_uncertainty_score":0.64040625},"labels":[],"label_agreement":null},{"id":"W4410525047","doi":"10.1016/j.renene.2025.123502","title":"Investigation on leakage characteristics and consequences of hydrogen-blended gas pipelines based on CFD with the full multicomponent diffusion model","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Combustion and Detonation Processes","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 Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computational fluid dynamics; Leakage (economics); Pipeline transport; Hydrogen; Petroleum engineering; Gaseous diffusion; Diffusion; Environmental science; Nuclear engineering; Mechanics; Materials science; Thermodynamics; Chemistry; Engineering; Mechanical engineering; Chemical engineering; Physics; Fuel cells; Organic chemistry","score_opus":0.014397594908907291,"score_gpt":0.20231512168858914,"score_spread":0.18791752677968185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410525047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686679,0.00022810623,0.028506171,0.00009152795,0.000022583312,0.000030196186,0.00015965119,0.00032660874,0.0019672213],"genre_scores_gemma":[0.99809295,0.00004437694,0.00131433,0.0000037863658,0.0000016309716,0.000003818276,0.000046953217,0.000012591368,0.000479444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983716,0.00002920372,0.000010381733,0.000034790126,0.000055726257,0.00003265136],"domain_scores_gemma":[0.99954623,0.00021824827,0.000056490455,0.000041548472,0.00010911648,0.000028364959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031131195,0.00040901205,0.0005093463,0.00046278816,0.00041298073,0.00056538294,0.0005074455,0.000656345,0.0008602352],"category_scores_gemma":[0.00087450433,0.00022431281,0.0004378692,0.00042578793,0.00047345678,0.0010295077,0.0003823032,0.000410615,0.00013037748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017560322,0.0003584098,0.02394372,0.00040806996,0.00006161117,0.0016470632,0.00038132846,0.51285106,0.42307216,0.0046992917,0.00060454465,0.030216742],"study_design_scores_gemma":[0.000019311108,0.00014391661,0.0037838803,0.000008431621,0.000016143285,0.00010451351,0.000066419714,0.9237609,0.07139027,0.00032194486,0.00036466034,0.000019484185],"about_ca_topic_score_codex":0.0035779218,"about_ca_topic_score_gemma":0.001586601,"teacher_disagreement_score":0.0035779218,"about_ca_system_score_codex":0.000538609,"about_ca_system_score_gemma":0.00043725353,"threshold_uncertainty_score":0.007114172},"labels":[],"label_agreement":null},{"id":"W4410557494","doi":"10.1016/j.renene.2025.123506","title":"Design optimization of standalone photovoltaic systems for enhanced energy density","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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; Center for Interuniversity Research and Analysis on Organizations","funders":"King Fahd University of Petroleum and Minerals","keywords":"Photovoltaic system; Computer science; Energy (signal processing); Environmental science; Process engineering; Automotive engineering; Engineering physics; Electrical engineering; Engineering; Mathematics; Statistics","score_opus":0.013271481493787042,"score_gpt":0.22882284256609234,"score_spread":0.2155513610723053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410557494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20802864,0.0016284311,0.6963287,0.0005331101,0.00018284122,0.0002190185,0.00046385507,0.0006364843,0.09197889],"genre_scores_gemma":[0.96618015,0.0002808093,0.023583772,0.000054134245,0.000033906304,0.00012729951,0.000102588165,0.000081964856,0.0095553985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998348,0.000033368575,0.000005236086,0.000025532192,0.00007696537,0.00002401299],"domain_scores_gemma":[0.9998596,0.000049350983,0.000020761761,0.000009210456,0.000053637465,0.000007444648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022383533,0.00062416686,0.00068883813,0.00025548314,0.00034956454,0.0010556178,0.00065414404,0.000655053,0.0057780985],"category_scores_gemma":[0.00046851806,0.00044726685,0.00043655408,0.00041538366,0.00016737978,0.00055865536,0.00034731269,0.0004304258,0.0008405977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014426743,0.00012916506,0.000583602,0.00025580294,0.00009487836,0.00012398344,0.00006128454,0.90779376,0.03929939,0.004804438,0.00191213,0.04479737],"study_design_scores_gemma":[0.000015730015,0.00016542657,0.0004601952,0.000012692559,0.00002372619,0.000039419116,0.000025524105,0.99138707,0.004493321,0.0014242993,0.0019461144,0.0000064271744],"about_ca_topic_score_codex":0.0010108732,"about_ca_topic_score_gemma":0.0034543378,"teacher_disagreement_score":0.0057780985,"about_ca_system_score_codex":0.00047151023,"about_ca_system_score_gemma":0.0004207288,"threshold_uncertainty_score":0.019329667},"labels":[],"label_agreement":null},{"id":"W4410632983","doi":"10.1016/j.renene.2025.123509","title":"Ecological environmental impact assessment of photovoltaic and \"photovoltaic +\" development in China","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","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":"Social Science Foundation of Jiangsu Province; Wuhan University; Shanghai Jiao Tong University; National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Photovoltaic system; China; Environmental impact assessment; Environmental science; Ecology; Geography; Biology","score_opus":0.004078701485286192,"score_gpt":0.23834643439239428,"score_spread":0.2342677329071081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410632983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954614,0.00019395823,0.00025612034,0.00007307439,0.0000032484306,0.000013955485,0.00033794527,0.00001000049,0.0036503156],"genre_scores_gemma":[0.998552,0.000118650525,0.00011470266,0.000013669797,0.0000018285731,0.00000589834,0.00020832934,0.0000014156635,0.0009835091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996012,0.00006660785,0.000025858002,0.00003988751,0.00014743349,0.000119085285],"domain_scores_gemma":[0.99979216,0.00002579518,0.000045204302,0.000012672425,0.00008012658,0.000044118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006563744,0.00051446893,0.00027763206,0.0018885498,0.00057139713,0.00076541014,0.00043530637,0.00030480998,0.0007071058],"category_scores_gemma":[0.0002667758,0.00018727298,0.0006562871,0.002161748,0.000385928,0.00042937868,0.00075237534,0.00015043022,0.000048687085],"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":[0.0006449253,0.00029610103,0.7814564,0.00029949396,0.0005533771,0.0015966971,0.00082143204,0.13588983,0.009669323,0.0079202475,0.0019154383,0.058936756],"study_design_scores_gemma":[0.000029200359,0.00016714702,0.9605811,0.000017343775,0.00020405863,0.000094726085,0.000819435,0.03241027,0.0015684956,0.0010269567,0.0030501126,0.00003120504],"about_ca_topic_score_codex":0.18168238,"about_ca_topic_score_gemma":0.27284104,"teacher_disagreement_score":0.18168238,"about_ca_system_score_codex":0.0053266594,"about_ca_system_score_gemma":0.0035436063,"threshold_uncertainty_score":0.36124974},"labels":[],"label_agreement":null},{"id":"W4410711954","doi":"10.1016/j.renene.2025.123545","title":"Accelerating geological gas storage simulations: A novel and efficient gases-brine phase equilibrium calculation algorithm","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","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":"Virtual Materials Group (Canada); University of Calgary","funders":"Energi Simulation","keywords":"Brine; Gas phase; Phase equilibrium; Algorithm; Petroleum engineering; Computer science; Environmental science; Process engineering; Thermodynamics; Computational science; Geology; Phase (matter); Chemistry; Physics; Engineering","score_opus":0.019564434850784122,"score_gpt":0.2853167156216898,"score_spread":0.2657522807709057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410711954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07598789,0.00015255099,0.9055855,0.00036610127,0.00017605007,0.00012126626,0.00033097574,0.0043281186,0.012951497],"genre_scores_gemma":[0.41026333,0.00011540369,0.58178353,0.00018978682,0.00006078077,0.0002620486,0.00053118943,0.00094418635,0.005849705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998355,0.00003268595,0.000008287104,0.000029474853,0.00006600854,0.000027897768],"domain_scores_gemma":[0.9995596,0.00019035717,0.000025849751,0.000060315157,0.00012443562,0.000039477334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038605975,0.00058263174,0.00063775165,0.00038339372,0.00061232084,0.00076781283,0.0020749914,0.0009377009,0.007717811],"category_scores_gemma":[0.0017225656,0.00041582325,0.00043110127,0.0005679073,0.00031904844,0.0011076744,0.0011073822,0.0009844168,0.0011609764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032213534,0.0002421497,0.0023706052,0.00012652013,0.000102856604,0.00013865085,0.0001538343,0.83553296,0.010757956,0.022938741,0.006790094,0.12052358],"study_design_scores_gemma":[0.000037086484,0.000009193416,0.00006756936,0.0000016857442,0.00000450463,0.000006775213,0.000007733832,0.99625635,0.0009827801,0.0015735831,0.0010495066,0.000003350163],"about_ca_topic_score_codex":0.009124801,"about_ca_topic_score_gemma":0.014358225,"teacher_disagreement_score":0.009124801,"about_ca_system_score_codex":0.0005119384,"about_ca_system_score_gemma":0.0016391666,"threshold_uncertainty_score":0.025818646},"labels":[],"label_agreement":null},{"id":"W4411040211","doi":"10.1016/j.renene.2025.123633","title":"Levelized cost of green hydrogen in Canada: Wind energy-driven water electrolysis","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Cost of electricity by source; Electrolysis of water; Environmental science; Hydrogen production; Electrolysis; Hydrogen; Wind power; Hydrogen fuel; Renewable energy; Waste management; Environmental engineering; Oceanography; Electricity generation; Chemistry; Engineering; Geology; Power (physics); Electrical engineering; Physics","score_opus":0.007051759230294304,"score_gpt":0.1958632120115154,"score_spread":0.1888114527812211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411040211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8142449,0.0027152197,0.0066426913,0.012604237,0.0007292765,0.00029328957,0.025356792,0.0008377423,0.13657579],"genre_scores_gemma":[0.97429556,0.0007644536,0.001938955,0.00025358403,0.000020673677,0.000018570403,0.0024004106,0.000059954342,0.020247754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990101,0.000049916278,0.000018128838,0.00006938561,0.0005496882,0.00030280504],"domain_scores_gemma":[0.99872845,0.000075320844,0.000029574765,0.00003932019,0.0009732473,0.00015402348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052975916,0.00042225097,0.00043610984,0.00081091264,0.0013937758,0.00267448,0.0013032536,0.0008807476,0.0077976654],"category_scores_gemma":[0.0017863782,0.0002502001,0.0006091476,0.0017721377,0.0005935059,0.0011674021,0.0006470516,0.0011330108,0.0004322075],"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":[0.004554066,0.00063203037,0.07819608,0.0010415273,0.0006722707,0.0014456616,0.00046964968,0.32840836,0.018656129,0.118239544,0.17844647,0.2692383],"study_design_scores_gemma":[0.00099616,0.0010056539,0.2585582,0.00039394177,0.0007291956,0.00050719926,0.005987375,0.37045425,0.034390476,0.020181352,0.30632406,0.0004721503],"about_ca_topic_score_codex":0.978555,"about_ca_topic_score_gemma":0.98804873,"teacher_disagreement_score":0.056894224,"about_ca_system_score_codex":0.056894224,"about_ca_system_score_gemma":0.06603901,"threshold_uncertainty_score":0.41279846},"labels":[],"label_agreement":null},{"id":"W4411148083","doi":"10.1016/j.renene.2025.123716","title":"Best tilt of PV system in Canada: Effect of the sky radiation model and climate conditions","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":7,"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":"Sky; Tilt (camera); Environmental science; Radiation; Meteorology; Photovoltaic system; Atmospheric sciences; Remote sensing; Climatology; Geography; Engineering; Physics; Optics; Geology; Electrical engineering","score_opus":0.004261354778809914,"score_gpt":0.2026243178195017,"score_spread":0.1983629630406918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411148083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99065334,0.00025704093,0.0014133727,0.00007012748,0.000010526111,0.000021394852,0.0017207192,0.00017081271,0.005682626],"genre_scores_gemma":[0.99755245,0.00009376723,0.00075233483,0.000014789724,7.594805e-7,0.000002806729,0.0008709099,0.000028602544,0.00068360916],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961495,0.000036897494,0.000010725564,0.000069342,0.00013105197,0.00013695899],"domain_scores_gemma":[0.99932575,0.00012979878,0.00004437416,0.000044063112,0.000393946,0.000062085994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040138196,0.00034999504,0.00030805188,0.00045251468,0.00075875316,0.0013115817,0.0003558738,0.00018506845,0.0011562769],"category_scores_gemma":[0.0015740568,0.00014157177,0.0003486091,0.0012705638,0.00030222101,0.00027651832,0.0002943652,0.00021799126,0.00019894606],"study_design_candidate":"simulation_or_modeling","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":[0.0008910968,0.00007161471,0.7441436,0.00018613959,0.00019108094,0.00040014833,0.00040767321,0.17558375,0.008814344,0.0009278568,0.00429627,0.06408636],"study_design_scores_gemma":[0.000019454383,0.00006832001,0.9037443,0.000030355268,0.00008411571,0.000100550984,0.0011206212,0.084606275,0.0062079607,0.00019152745,0.0037800795,0.000046366313],"about_ca_topic_score_codex":0.95325494,"about_ca_topic_score_gemma":0.9765138,"teacher_disagreement_score":0.046745062,"about_ca_system_score_codex":0.007553269,"about_ca_system_score_gemma":0.0058170385,"threshold_uncertainty_score":0.09404063},"labels":[],"label_agreement":null},{"id":"W4411225367","doi":"10.1016/j.renene.2025.123750","title":"Exploring the economic and non-economic determinants of investments in renewable energy","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"Impact","funders":"Universitas Indonesia; Linköpings Universitet","keywords":"Renewable energy; Natural resource economics; Economics; Business; Environmental economics; Engineering; Electrical engineering","score_opus":0.03085501451304957,"score_gpt":0.20892900619801896,"score_spread":0.1780739916849694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411225367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856902,0.0010317955,0.0011652932,0.0010273898,0.000023337776,0.000012587854,0.006982883,0.000018975921,0.0040475056],"genre_scores_gemma":[0.99534035,0.00026788106,0.00010881186,0.00003270491,0.000012367843,0.0000063237235,0.0035545838,0.000004127565,0.0006728636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950755,0.0001701611,0.000033252298,0.000073959214,0.00007243214,0.00014264823],"domain_scores_gemma":[0.9947385,0.0024760382,0.0018114011,0.00022138249,0.00036465825,0.00038794117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011980525,0.00018524306,0.00027113935,0.0010137849,0.00020491857,0.0012157537,0.00028054966,0.00039826563,0.004066409],"category_scores_gemma":[0.005375145,0.00013600754,0.00045110635,0.002191273,0.00033488654,0.0008208374,0.0008007472,0.00083357695,0.0006406252],"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":[0.000051058276,0.000049595095,0.9773482,0.00004596509,0.0001818683,0.00011333845,0.00008112218,0.010945477,0.00010349269,0.0026843336,0.002217219,0.006178499],"study_design_scores_gemma":[0.000008028865,0.00004671555,0.97916335,0.00005998911,0.000059398084,0.00004752567,0.00079182186,0.011692095,0.00029317703,0.0022222947,0.005599586,0.0000160918],"about_ca_topic_score_codex":0.018629458,"about_ca_topic_score_gemma":0.017650705,"teacher_disagreement_score":0.018629458,"about_ca_system_score_codex":0.0005670411,"about_ca_system_score_gemma":0.00046748374,"threshold_uncertainty_score":0.03704208},"labels":[],"label_agreement":null},{"id":"W4411272673","doi":"10.1016/j.renene.2025.123678","title":"Multi-agent systems in networked microgrids: Reinforcement learning and strategic pricing mechanisms","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Smart Grid Energy Management","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":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Reinforcement learning; Reinforcement; Computer science; Business; Distributed computing; Engineering; Artificial intelligence; Structural engineering","score_opus":0.009939780422572481,"score_gpt":0.20426047123902322,"score_spread":0.19432069081645073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411272673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04391057,0.00060034863,0.9480769,0.00063846866,0.00007886878,0.00005209827,0.00002112828,0.00017947018,0.0064421277],"genre_scores_gemma":[0.9637042,0.00032490722,0.03354032,0.00009522222,0.000047943016,0.00006886901,0.000015351696,0.000020760228,0.002182405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936193,0.00029974748,0.000026251586,0.00009375286,0.00014791147,0.000070366],"domain_scores_gemma":[0.9990576,0.00046708182,0.00017716274,0.00007595595,0.00013210166,0.00009002572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013455867,0.00065200636,0.0006880899,0.00028811817,0.00044751656,0.00117267,0.0012613805,0.0009639591,0.0012613246],"category_scores_gemma":[0.0030870333,0.00034762506,0.00044372812,0.0003217367,0.0011656126,0.0013500585,0.0012781639,0.001125253,0.00017787179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018319346,0.000030088268,0.000411181,0.000024462544,0.000027050803,0.000070007234,0.00003902313,0.96698403,0.0005345206,0.022844207,0.0002490755,0.008768022],"study_design_scores_gemma":[0.0000049579253,0.000011579264,0.000043825014,0.0000021207159,0.0000026582773,0.0000074411305,0.0000062880895,0.9929906,0.000068568275,0.006633343,0.00022582033,0.0000027678984],"about_ca_topic_score_codex":0.0040929476,"about_ca_topic_score_gemma":0.0029171284,"teacher_disagreement_score":0.0040929476,"about_ca_system_score_codex":0.00089951797,"about_ca_system_score_gemma":0.0009492854,"threshold_uncertainty_score":0.008138299},"labels":[],"label_agreement":null},{"id":"W4411341060","doi":"10.1016/j.renene.2025.123796","title":"Fabricating Ce(DS)2H4AlW12O40 as a single-cluster heterogeneous catalyst for highly efficient conversion of cellulose to 5-HMF in water and in biphase","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Polyoxometalates: Synthesis and Applications","field":"Materials Science","cited_by":4,"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":"Fundamental Research Funds for the Central Universities; Changchun Institute of Applied Chemistry; State Key Laboratory of Molecular Engineering of Polymers; Department of Science and Technology of Jilin Province; Fudan University; National Natural Science Foundation of China; Canadian Anesthesiologists' Society","keywords":"Cellulose; Catalysis; Cluster (spacecraft); Chemistry; Chemical engineering; Materials science; Nanotechnology; Organic chemistry; Computer science; Engineering; Computer network","score_opus":0.010753319231625952,"score_gpt":0.23357286166592828,"score_spread":0.22281954243430233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411341060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98951703,0.00039482766,0.0059994487,0.00008347504,0.000052494233,0.00004545268,0.00017445875,0.0002870321,0.0034458505],"genre_scores_gemma":[0.98900455,0.0002642133,0.005475661,0.000020174388,0.000008559628,0.00003045109,0.00019244233,0.000084396685,0.00491953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999013,0.000007067626,0.000006905992,0.000022941142,0.00002763261,0.000034130604],"domain_scores_gemma":[0.9999639,0.0000036136018,0.000006094038,0.0000053164754,0.000007860981,0.000013261037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013204424,0.00033338554,0.0003059253,0.0003417872,0.00020854599,0.00037660127,0.0005983437,0.00036750158,0.0014006404],"category_scores_gemma":[0.00013634944,0.00023493683,0.00020608363,0.00025275457,0.00017374083,0.0003958351,0.00034631995,0.0002508852,0.00058412243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006778718,0.000031863823,0.00007403164,0.00007518536,0.0000070621786,0.000048597092,0.000024423756,0.00014553755,0.9952819,0.0003640341,0.00014255595,0.0037370648],"study_design_scores_gemma":[0.000010595453,0.00006353878,0.00029420663,0.0000023219186,0.0000070498863,0.00003394952,0.000011186718,0.0012241711,0.9968201,0.000045534183,0.0014814449,0.000005957357],"about_ca_topic_score_codex":0.0012775017,"about_ca_topic_score_gemma":0.0027714216,"teacher_disagreement_score":0.0014006404,"about_ca_system_score_codex":0.00030504863,"about_ca_system_score_gemma":0.00028690713,"threshold_uncertainty_score":0.0046856403},"labels":[],"label_agreement":null},{"id":"W4411465572","doi":"10.1016/j.renene.2025.123816","title":"Enhancing industrial load hosting capacity in rural areas of developing countries through distributed energy resource integration","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy and Environment Impacts","field":"Environmental Science","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":"Concordia University","funders":"Universidade Federal de Itajubá; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Energia Elétrica; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Resource (disambiguation); Business; Distributed generation; Developing country; Environmental economics; Natural resource economics; Industrial organization; Computer science; Economic growth; Renewable energy; Economics; Engineering; Electrical engineering; Computer network","score_opus":0.020139287075235556,"score_gpt":0.21738325257378877,"score_spread":0.19724396549855322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411465572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96717346,0.00009816473,0.009066126,0.00022134572,0.000012159801,0.000052867188,0.00009922776,0.00015127166,0.02312537],"genre_scores_gemma":[0.9972512,0.00005041744,0.0013946752,0.0000102225285,0.0000034666057,0.000009170426,0.000034636992,0.000006096012,0.0012400016],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998908,0.000034380224,0.0000035263374,0.000011406107,0.000015127681,0.000044713608],"domain_scores_gemma":[0.99981314,0.000048521102,0.000025120233,0.000018956356,0.00005618228,0.000038079674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024888417,0.0002172671,0.0001441559,0.00036204036,0.00035656727,0.0007996948,0.00037500434,0.00015835995,0.004379525],"category_scores_gemma":[0.0004493289,0.00009415846,0.00012593796,0.00063413,0.0002360586,0.0006613201,0.0009451222,0.00016770183,0.00044248748],"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":[0.00086163235,0.0018975001,0.17875172,0.00045969235,0.000111255,0.0010994694,0.0019615346,0.20417014,0.08946133,0.02174758,0.006919889,0.49255827],"study_design_scores_gemma":[0.0003706694,0.002157638,0.331626,0.00020047477,0.00032817698,0.00064996834,0.021001384,0.4939715,0.057967413,0.02344213,0.06817243,0.00011228319],"about_ca_topic_score_codex":0.0032894523,"about_ca_topic_score_gemma":0.008577708,"teacher_disagreement_score":0.004379525,"about_ca_system_score_codex":0.00046305006,"about_ca_system_score_gemma":0.0006431469,"threshold_uncertainty_score":0.014650941},"labels":[],"label_agreement":null},{"id":"W4411718334","doi":"10.1016/j.renene.2025.123883","title":"Development of a 3D ray tracing-based direct solar shading model for urban building energy simulation","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":8,"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; Environment and Climate Change Canada","keywords":"Ray tracing (physics); Shading; Solar energy; Distributed ray tracing; Computer graphics (images); Building energy simulation; Tracing; Environmental science; Energy (signal processing); Computer science; Physics; Optics; Engineering; Energy performance; Electrical engineering","score_opus":0.01458979006018961,"score_gpt":0.23703678658027333,"score_spread":0.2224469965200837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411718334","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06488314,0.00020697103,0.91236216,0.00021666518,0.00007323453,0.00013800964,0.000962859,0.0022050985,0.018951831],"genre_scores_gemma":[0.7826327,0.00052767,0.20250079,0.00015200011,0.000040609488,0.0004458568,0.0013609289,0.00062324444,0.011716169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998964,0.000015636293,0.0000060205834,0.000016937609,0.000050112834,0.000014854025],"domain_scores_gemma":[0.9998398,0.00004613493,0.000016716136,0.000017999248,0.00006162524,0.00001779303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016655745,0.0005266894,0.00049058115,0.00036422705,0.00037703756,0.0007414769,0.0011383649,0.0008214051,0.0028897927],"category_scores_gemma":[0.0005186306,0.00046193227,0.0008619172,0.00058506685,0.0002941848,0.0004593276,0.00060445786,0.0006350006,0.00054680917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060067105,0.000009773993,0.0004990851,0.000013614398,0.0000050643507,0.000028968143,0.000022470871,0.9933128,0.0010969022,0.0013219245,0.00029024656,0.003393046],"study_design_scores_gemma":[0.000002410765,0.0000026620833,0.00008865453,0.0000018899569,0.000001434861,0.0000057665693,0.000004301577,0.9987472,0.00027108245,0.00024344557,0.00062794145,0.0000031142533],"about_ca_topic_score_codex":0.033403553,"about_ca_topic_score_gemma":0.023350317,"teacher_disagreement_score":0.033403553,"about_ca_system_score_codex":0.00082316285,"about_ca_system_score_gemma":0.0012414574,"threshold_uncertainty_score":0.06641823},"labels":[],"label_agreement":null},{"id":"W4412031014","doi":"10.1016/j.renene.2025.123925","title":"Dual functionality of ethylenediamine pretreatment: Release of fermentable sugars and modified fluorescent lignin","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","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 Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Lignin; Chemistry; Fluorescence; Ethylenediamine; Dual (grammatical number); Dual role; Organic chemistry; Pulp and paper industry; Biochemistry; Nuclear chemistry; Combinatorial chemistry","score_opus":0.00770850994817618,"score_gpt":0.19721350830808557,"score_spread":0.1895049983599094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412031014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588084,0.0003837652,0.0026682287,0.00003921799,0.000017779914,0.000009265589,0.000086011474,0.00003581292,0.0008789542],"genre_scores_gemma":[0.9970661,0.00016382169,0.0011851386,0.000017427647,0.0000027149988,0.0000054009697,0.00007316623,0.000009259081,0.0014771183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999105,0.000008249236,0.0000053725153,0.000025337882,0.000019353996,0.000031261563],"domain_scores_gemma":[0.99992573,0.000014934773,0.000024707984,0.000009748726,0.000010730659,0.000014195248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011758257,0.00034601436,0.00015271547,0.000104446226,0.00008624193,0.0002282974,0.00021026305,0.00036211457,0.0009819396],"category_scores_gemma":[0.0001346838,0.00011120299,0.00022190184,0.0001369871,0.0001350301,0.00025821757,0.00015439974,0.00039581922,0.00020657545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084095016,0.000011035369,0.000037982143,0.000015812926,0.000002483935,0.000032173295,0.000007300246,0.000037413116,0.9990734,0.000055736873,0.000011765297,0.00063080655],"study_design_scores_gemma":[0.0000030194951,0.000041918243,0.00027194034,7.87186e-7,0.0000024816097,0.000019667137,0.0000031835673,0.00018063035,0.99927336,0.0000046570804,0.00019650628,0.0000018472156],"about_ca_topic_score_codex":0.0004497645,"about_ca_topic_score_gemma":0.0009648399,"teacher_disagreement_score":0.0009819396,"about_ca_system_score_codex":0.00024828952,"about_ca_system_score_gemma":0.00016918089,"threshold_uncertainty_score":0.0032848716},"labels":[],"label_agreement":null},{"id":"W4412464667","doi":"10.1016/j.renene.2025.124010","title":"Development of sustainable microbe-enhanced bio-carbon for supercapacitor applications","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","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":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Supercapacitor; Biochemical engineering; Sustainable development; Nanotechnology; Carbon fibers; Business; Engineering; Biology; Chemistry; Materials science; Ecology; Capacitance; Composite number; Composite material","score_opus":0.00926587906216839,"score_gpt":0.2318231508187185,"score_spread":0.2225572717565501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412464667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9213903,0.01059241,0.05516302,0.00064264325,0.00017924442,0.00015038447,0.0006590259,0.00036540936,0.010857623],"genre_scores_gemma":[0.96396065,0.0030385405,0.029229915,0.00006728437,0.000016580803,0.00004020451,0.00037646358,0.000028672073,0.0032417171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991953,0.0000053683484,0.000004826519,0.000017121032,0.00004291541,0.000010285024],"domain_scores_gemma":[0.99995244,0.000007990837,0.0000057278226,0.0000050814406,0.000020197498,0.000008633483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011450958,0.00031246565,0.0001376906,0.00030023197,0.00016206621,0.00033260553,0.00030295117,0.0004066064,0.0009289175],"category_scores_gemma":[0.00015064309,0.00012369086,0.00015135623,0.00021502322,0.0001473709,0.0003832233,0.00017711478,0.00035577136,0.00038111839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000108381555,0.000023986775,0.00019698203,0.00011011525,0.00000773334,0.00007920389,0.000009942484,0.000752896,0.9909038,0.0007404258,0.00010973073,0.0070543564],"study_design_scores_gemma":[0.0000034765658,0.00008159458,0.0009875281,0.000009807241,0.0000069480975,0.00009084825,0.000021708385,0.006712082,0.9862953,0.00021777384,0.0055674016,0.0000055191204],"about_ca_topic_score_codex":0.00048608234,"about_ca_topic_score_gemma":0.0020989168,"teacher_disagreement_score":0.0009289175,"about_ca_system_score_codex":0.00033692774,"about_ca_system_score_gemma":0.0002525633,"threshold_uncertainty_score":0.0031074882},"labels":[],"label_agreement":null},{"id":"W4412529441","doi":"10.1016/j.renene.2025.123979","title":"Regenerative hydrogen energy storage modelling for northern microgrid energy design","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Yukon University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Energy storage; Hydrogen storage; Energy (signal processing); Environmental science; Hydrogen fuel; Nuclear engineering; Hydrogen; Computer science; Process engineering; Renewable energy; Engineering; Electrical engineering; Chemistry; Fuel cells; Chemical engineering; Thermodynamics; Physics; Power (physics)","score_opus":0.02034631314697058,"score_gpt":0.2259912382983366,"score_spread":0.205644925151366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412529441","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31781057,0.0009122535,0.5211179,0.0011100288,0.00012632171,0.00028082333,0.0021948619,0.0012718122,0.15517545],"genre_scores_gemma":[0.96836245,0.00028850933,0.016819498,0.000038689985,0.000010697608,0.00011409355,0.00036643795,0.00008007734,0.013919565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990714,0.000027085569,0.0000034084012,0.00001469906,0.00003100886,0.000016594604],"domain_scores_gemma":[0.9998944,0.000033529457,0.000011048874,0.0000111339805,0.000038057242,0.0000117985155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023453933,0.00046358246,0.0004562176,0.00021901332,0.0005172024,0.00097636256,0.0007233577,0.00051593606,0.0046259314],"category_scores_gemma":[0.0004267528,0.00024187099,0.0005664838,0.0002484882,0.0003607312,0.0006281889,0.00059742416,0.00049155456,0.00048052275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023639785,0.0000069210932,0.00034164407,0.00003647586,0.000006655271,0.000046970752,0.000036436362,0.99174106,0.001141998,0.0033955695,0.00041854676,0.0028040912],"study_design_scores_gemma":[0.000003725246,0.000010335469,0.00012204931,0.000005977354,0.0000036120443,0.000009017689,0.000043558335,0.99630475,0.00050877646,0.0013377585,0.0016466674,0.0000037860902],"about_ca_topic_score_codex":0.054595944,"about_ca_topic_score_gemma":0.060994033,"teacher_disagreement_score":0.054595944,"about_ca_system_score_codex":0.0015473386,"about_ca_system_score_gemma":0.0020916048,"threshold_uncertainty_score":0.10855633},"labels":[],"label_agreement":null},{"id":"W4412981072","doi":"10.1016/j.renene.2025.124047","title":"Tailored performance evaluation framework for PV systems based on type and application","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Power Systems and Renewable Energy","field":"Energy","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":"Polytechnique Montréal; Université du Québec à Rimouski","funders":"","keywords":"Computer science; Systems engineering; Reliability engineering; Engineering; Computer architecture","score_opus":0.013016598952420785,"score_gpt":0.262749881714406,"score_spread":0.2497332827619852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412981072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013286757,0.00025433226,0.968991,0.00022805328,0.0000695853,0.0003806273,0.00045643645,0.002300135,0.014033157],"genre_scores_gemma":[0.6472812,0.0004840388,0.33984238,0.00025394553,0.00017865836,0.0005782293,0.0012656029,0.0008121678,0.009303792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99612916,0.0011119358,0.00026583383,0.0004444396,0.001639928,0.0004086754],"domain_scores_gemma":[0.99625707,0.0011329125,0.00027432505,0.00061324856,0.0015783674,0.00014401972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00524079,0.001931609,0.0011770272,0.0021117167,0.0005059726,0.0035411252,0.0016990104,0.000826907,0.0068610706],"category_scores_gemma":[0.007878238,0.00034497256,0.0011679588,0.00084141316,0.0006327074,0.0027562864,0.0019147204,0.0014786582,0.0017732558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075775565,0.0006641711,0.0071832007,0.00072528486,0.00033874554,0.0004978223,0.00036466517,0.42431465,0.041179307,0.16756137,0.014397262,0.34201577],"study_design_scores_gemma":[0.000048361817,0.00035244875,0.0017975976,0.00013296843,0.0001184811,0.0002401874,0.00011793828,0.9138388,0.019614493,0.052231256,0.011436494,0.00007099358],"about_ca_topic_score_codex":0.002275105,"about_ca_topic_score_gemma":0.0025494047,"teacher_disagreement_score":0.0068610706,"about_ca_system_score_codex":0.001143741,"about_ca_system_score_gemma":0.0013309973,"threshold_uncertainty_score":0.02771622},"labels":[],"label_agreement":null},{"id":"W4412981399","doi":"10.1016/j.renene.2025.124112","title":"Design and analysis of an integrated renewable hydrogen production and storage system for hydrogen refueling station in a sustainable community","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","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 Ontario Institute of Technology","funders":"","keywords":"Hydrogen production; Hydrogen storage; Renewable energy; Production (economics); Environmental science; Hydrogen; Waste management; Environmental economics; Engineering; Electrical engineering; Chemistry; Economics","score_opus":0.014968395144046598,"score_gpt":0.24527672807233397,"score_spread":0.23030833292828737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412981399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5739689,0.0006226989,0.39703915,0.00044222362,0.00009356706,0.0005300482,0.000337367,0.000768221,0.026197905],"genre_scores_gemma":[0.9814511,0.00011883611,0.013911342,0.000023580937,0.000007412652,0.00012708963,0.00007344925,0.000017842212,0.0042693494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997993,0.000030081199,0.000007422443,0.000049980492,0.000075685886,0.000037537116],"domain_scores_gemma":[0.9999206,0.000015211432,0.000013407435,0.0000051289867,0.000034682642,0.000011052514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028108942,0.00043887296,0.00066542864,0.0002541644,0.0007967782,0.0011297588,0.0007809808,0.00066691136,0.0024407962],"category_scores_gemma":[0.000195185,0.00031323338,0.0005256662,0.00021569713,0.00032501848,0.00051945634,0.0005062666,0.00031747067,0.00037881066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032066114,0.00018044673,0.0021980156,0.00031621917,0.00006707496,0.00039472213,0.0001368342,0.88372856,0.081807606,0.0034001337,0.0006998091,0.026749875],"study_design_scores_gemma":[0.000035626777,0.0003752119,0.000762282,0.000006195955,0.000030467325,0.00003226091,0.000087381355,0.987733,0.009066328,0.00035466853,0.0015033833,0.000013067182],"about_ca_topic_score_codex":0.008481245,"about_ca_topic_score_gemma":0.0079368,"teacher_disagreement_score":0.008481245,"about_ca_system_score_codex":0.0009834451,"about_ca_system_score_gemma":0.0014214903,"threshold_uncertainty_score":0.016863763},"labels":[],"label_agreement":null},{"id":"W4413053433","doi":"10.1016/j.renene.2025.124104","title":"Prediction analysis of depressurization-induced blistering damage in type IV hydrogen storage tank plastic liners","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Spacecraft and Cryogenic Technologies","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 Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Cabin pressurization; Hydrogen storage; Hydrogen; Materials science; Storage tank; Forensic engineering; Composite material; Nuclear engineering; Waste management; Environmental science; Chemistry; Engineering; Organic chemistry","score_opus":0.010583195318264405,"score_gpt":0.21002961421734961,"score_spread":0.1994464188990852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413053433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98586756,0.00015096297,0.011772796,0.00004721581,0.000011604746,0.000025180274,0.000311346,0.00022309071,0.001590259],"genre_scores_gemma":[0.9986671,0.000036840298,0.0005587693,0.0000033918989,0.0000014818618,0.000006505205,0.00010555441,0.000007401117,0.00061304134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992967,0.000008327975,0.000002906531,0.00001896139,0.000021723463,0.000018499799],"domain_scores_gemma":[0.99972004,0.0001129852,0.00005384743,0.000017409579,0.00007579481,0.000019939707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331714,0.0005657832,0.00032967495,0.00046458002,0.00023695178,0.00042504218,0.00035039568,0.0005029991,0.00090504414],"category_scores_gemma":[0.00041239554,0.0002378039,0.0005000748,0.00028064195,0.00017411831,0.00033591184,0.0001644595,0.00030362373,0.00016820917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001299875,0.000057758174,0.0076701124,0.00004060181,0.000017330527,0.00009754816,0.000013804325,0.97969204,0.0070822737,0.0001292637,0.00023334533,0.004835934],"study_design_scores_gemma":[0.0000029603227,0.000052333042,0.0049989047,0.0000015428299,0.0000064680917,0.000007882158,0.000008447736,0.99187356,0.0029611643,0.000042982065,0.000040262286,0.0000034182854],"about_ca_topic_score_codex":0.011793671,"about_ca_topic_score_gemma":0.005816129,"teacher_disagreement_score":0.011793671,"about_ca_system_score_codex":0.0008321873,"about_ca_system_score_gemma":0.00038699698,"threshold_uncertainty_score":0.023450077},"labels":[],"label_agreement":null},{"id":"W4413121341","doi":"10.1016/j.renene.2025.124187","title":"Enhancing dimethyl ether production as a renewable fuel using a high-performance BEA zeolite membrane reactor","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","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":"Institute for Information and Communications Technology Promotion; European Commission; Consiglio Nazionale delle Ricerche; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; Information Technology Research Centre","keywords":"Zeolite; Dimethyl ether; Waste management; Production (economics); Renewable energy; Pulp and paper industry; Chemistry; Chemical engineering; Environmental science; Organic chemistry; Catalysis; Engineering; Economics; Electrical engineering","score_opus":0.010272368709586708,"score_gpt":0.22775105846549926,"score_spread":0.21747868975591256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413121341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851044,0.0013410526,0.0120520415,0.00010521761,0.000037595935,0.00003520781,0.00017165158,0.00011215309,0.0010408595],"genre_scores_gemma":[0.99147207,0.0006986809,0.006669187,0.000021991047,0.0000070826927,0.000015325062,0.00012209205,0.000015412226,0.0009782382],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998186,0.000023300709,0.00001553065,0.000031754036,0.00007278976,0.0000380413],"domain_scores_gemma":[0.99994457,0.000009971374,0.000015527128,0.0000057192296,0.000013891983,0.000010292091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027515108,0.0003540858,0.0004203053,0.00028673705,0.00016458938,0.00046961103,0.00034495644,0.00057384354,0.00043357819],"category_scores_gemma":[0.00021216797,0.00015636283,0.0005755822,0.00019967771,0.0001374107,0.00051606906,0.00031826796,0.00049283606,0.00043000255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028626278,0.000013957429,0.00011754113,0.000037216938,0.0000064888577,0.000045607143,0.000005125185,0.000109042834,0.99856395,0.000044164728,0.000009662599,0.0010185903],"study_design_scores_gemma":[0.0000048269603,0.00007788277,0.000551633,0.0000021612798,0.000009767947,0.0000881302,0.000011764227,0.0010408304,0.99727565,0.000013057252,0.0009200958,0.0000042167476],"about_ca_topic_score_codex":0.00068487425,"about_ca_topic_score_gemma":0.0012338161,"teacher_disagreement_score":0.00068487425,"about_ca_system_score_codex":0.00028139562,"about_ca_system_score_gemma":0.00018689586,"threshold_uncertainty_score":0.002041638},"labels":[],"label_agreement":null},{"id":"W4413325581","doi":"10.1016/j.renene.2025.124263","title":"Hydrogen peroxide pretreatment of aqueous phase product of hydrothermal sludge liquefaction for enhanced anaerobic and aerobic biodegradability","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Hydrogen peroxide; Hydrothermal liquefaction; Biodegradation; Anaerobic exercise; Liquefaction; Chemistry; Hydrothermal circulation; Aqueous solution; Aqueous two-phase system; Waste management; Pulp and paper industry; Chemical engineering; Environmental chemistry; Environmental science; Organic chemistry; Catalysis; Engineering; Biology","score_opus":0.006471148215335933,"score_gpt":0.2243990840320477,"score_spread":0.21792793581671177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413325581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388313,0.0009956451,0.0044322736,0.00004799078,0.00002173909,0.000028040386,0.00009853438,0.000031694326,0.00046094856],"genre_scores_gemma":[0.9966664,0.00042474546,0.0021284265,0.000013843958,0.0000036133656,0.000012215968,0.00007976668,0.0000062187523,0.00066478725],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999926,0.000010352311,0.000008260157,0.000015465273,0.000022265065,0.000017642502],"domain_scores_gemma":[0.99995387,0.0000071203153,0.000016660824,0.0000031262844,0.00001124447,0.000008027856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172913,0.00034072675,0.00019635668,0.000112021226,0.00008850626,0.00019696067,0.00011109722,0.00024288523,0.0005543869],"category_scores_gemma":[0.00011625841,0.00013271782,0.00029555758,0.00011572783,0.00012549848,0.00019288882,0.00012661068,0.00030032787,0.000112772315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000241589,0.000008845857,0.00007531531,0.000031097392,0.000002797284,0.000017930577,0.0000050732083,0.00008469818,0.9990514,0.000012092296,0.000008587979,0.0006780101],"study_design_scores_gemma":[0.000003676243,0.00013133537,0.0008760027,0.0000016076898,0.000008112807,0.000020805956,0.000008954856,0.0004481027,0.99820423,0.000010058435,0.00028415312,0.0000029923808],"about_ca_topic_score_codex":0.0007556288,"about_ca_topic_score_gemma":0.0014664779,"teacher_disagreement_score":0.0007556288,"about_ca_system_score_codex":0.00018441281,"about_ca_system_score_gemma":0.00021346114,"threshold_uncertainty_score":0.0018545985},"labels":[],"label_agreement":null},{"id":"W4413428558","doi":"10.1016/j.renene.2025.124088","title":"Active learning-based optimization of hydroelectric turbine startup to minimize fatigue damage","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Cavitation Phenomena in Pumps","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":"Hydro-Québec","funders":"","keywords":"Hydroelectricity; Turbine; Engineering; Automotive engineering; Computer science; Environmental science; Mechanical engineering; Electrical engineering","score_opus":0.00650171867918605,"score_gpt":0.21425381440576186,"score_spread":0.2077520957265758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413428558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24383368,0.0009166692,0.74396837,0.0004562128,0.00012143042,0.0001036605,0.00011975093,0.0006132557,0.009866896],"genre_scores_gemma":[0.99053603,0.000060767925,0.0074946545,0.00003097297,0.000014951532,0.000044807846,0.000033518452,0.000026765172,0.0017575744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998671,0.00003796815,0.000006183152,0.000027422151,0.000028001808,0.000033324777],"domain_scores_gemma":[0.99934655,0.0004134438,0.000078090954,0.000014807452,0.00011271993,0.000034322733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057573116,0.0007733462,0.001041262,0.0004375329,0.0003145444,0.0006346276,0.00059765513,0.0011411003,0.0023020655],"category_scores_gemma":[0.0015089228,0.0005441892,0.00039533825,0.00028886797,0.00047225715,0.00052697386,0.00049177883,0.0006518376,0.000226128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003815989,0.00002172828,0.00011054797,0.000020674293,0.000009315764,0.000012407847,0.000007889126,0.99382097,0.00050759374,0.000192078,0.00015007461,0.0051085893],"study_design_scores_gemma":[0.0000043992386,0.00001707849,0.0000634449,0.0000017796956,0.000002150526,0.0000011969412,0.0000016575841,0.9996481,0.00013873602,0.000086817214,0.00003360852,9.742223e-7],"about_ca_topic_score_codex":0.005760957,"about_ca_topic_score_gemma":0.005652121,"teacher_disagreement_score":0.005760957,"about_ca_system_score_codex":0.00048091938,"about_ca_system_score_gemma":0.000782844,"threshold_uncertainty_score":0.01145488},"labels":[],"label_agreement":null},{"id":"W4413770936","doi":"10.1016/j.renene.2025.124314","title":"Advanced modelling of green roof-enabled Plus-ZEB energy systems: A synergistic approach using Taguchi design and neural networks","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Building Energy and Comfort Optimization","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":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Taguchi methods; Green roof; Artificial neural network; Roof; Architectural engineering; Engineering; Environmental science; Computer science; Civil engineering; Artificial intelligence; Machine learning","score_opus":0.016774706131039815,"score_gpt":0.19160138787333952,"score_spread":0.1748266817422997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413770936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27846354,0.00096582604,0.6953614,0.00017976246,0.000076593686,0.00013582635,0.0003390866,0.00034603628,0.024131915],"genre_scores_gemma":[0.96983284,0.00036776921,0.024793489,0.000024009803,0.000007040858,0.00014838587,0.00009428238,0.00003286709,0.004699278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984133,0.00004534556,0.000007698955,0.000025129999,0.00005366094,0.00002678214],"domain_scores_gemma":[0.9998715,0.00006758631,0.000018829052,0.000009202549,0.000027174796,0.0000056793638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032811376,0.00059284834,0.0010104799,0.0003980057,0.00040874621,0.0012355226,0.00074009574,0.0009738155,0.0018762489],"category_scores_gemma":[0.0003686035,0.00057270046,0.0009315352,0.000574136,0.0003570241,0.00079487317,0.00044291458,0.0005752915,0.00029127812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013278592,0.000011230492,0.00012582143,0.000021833379,0.000008726436,0.000010810264,0.000008298664,0.9956487,0.0012870777,0.00044713926,0.000030348827,0.0023867139],"study_design_scores_gemma":[0.0000012487233,0.000010033271,0.00006290171,0.000002017109,0.0000029694406,0.0000020881369,0.000003858609,0.99917895,0.0004598484,0.0001681646,0.00010606544,0.0000018478937],"about_ca_topic_score_codex":0.005701396,"about_ca_topic_score_gemma":0.008356628,"teacher_disagreement_score":0.005701396,"about_ca_system_score_codex":0.00067026936,"about_ca_system_score_gemma":0.0007528304,"threshold_uncertainty_score":0.011336386},"labels":[],"label_agreement":null},{"id":"W4413810955","doi":"10.1016/j.renene.2025.124308","title":"Sustainable wastewater-to-hydrogen systems in Canada: A scenario-based decision support analysis","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Instituto Tecnológico y de Estudios Superiores de Monterrey","keywords":"Wastewater; Decision support system; Environmental science; Waste management; Engineering; Environmental economics; Business; Environmental engineering; Computer science; Economics; Data mining","score_opus":0.004903578312680902,"score_gpt":0.19424199804533895,"score_spread":0.18933841973265805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413810955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783246,0.00053808105,0.0016808483,0.0016419013,0.000025514253,0.0003019527,0.0068012583,0.00006426639,0.010621571],"genre_scores_gemma":[0.99315464,0.00045880905,0.002251181,0.00009513655,0.0000043396785,0.00006561558,0.0018160299,0.000012976884,0.0021413064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987451,0.0003500477,0.000045363366,0.00009139738,0.0002987377,0.00046937296],"domain_scores_gemma":[0.99773765,0.00096861814,0.00010462752,0.000049609538,0.0008560172,0.00028340422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021870981,0.0009608498,0.0008593001,0.0014594105,0.0018635119,0.0027560783,0.0020204643,0.0014157655,0.002951862],"category_scores_gemma":[0.003751867,0.00052966777,0.0013801215,0.003105636,0.0009964762,0.0011564812,0.0007964392,0.0012397033,0.0001705913],"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":[0.0010832645,0.00061180687,0.023478176,0.00028159987,0.00038416946,0.0004566417,0.00013840101,0.9477809,0.00072460296,0.0070939716,0.0045969333,0.013369453],"study_design_scores_gemma":[0.00041925366,0.00029486394,0.027167678,0.00007304069,0.00042925062,0.000030727228,0.0021779516,0.96028334,0.0014505694,0.0025653725,0.004988587,0.00011939786],"about_ca_topic_score_codex":0.9886397,"about_ca_topic_score_gemma":0.9893869,"teacher_disagreement_score":0.07544418,"about_ca_system_score_codex":0.07544418,"about_ca_system_score_gemma":0.054400407,"threshold_uncertainty_score":0.5473884},"labels":[],"label_agreement":null},{"id":"W4414093432","doi":"10.1016/j.renene.2025.124347","title":"Advanced modeling and performance analysis of a photovoltaic-thermal double compression heat pump for industrial thermal applications","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Polytechnique Montréal","funders":"EduCanada; Ivey Business School, Western University; Global Affairs Canada; Western University","keywords":"Heat pump; Coefficient of performance; Heat sink; Solver; Thermal; Sink (geography); Air source heat pumps; Compression (physics)","score_opus":0.026117990141681167,"score_gpt":0.2555308310236311,"score_spread":0.22941284088194994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414093432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6026759,0.0007954665,0.37469283,0.00033259898,0.0000673328,0.0001982302,0.0006001584,0.00089924666,0.019738298],"genre_scores_gemma":[0.988806,0.0002114284,0.007710778,0.000013109115,0.0000063981524,0.00008837626,0.00011348007,0.00002925643,0.0030211424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999826,0.000024018897,0.0000073883607,0.000034347584,0.00008570186,0.000022528124],"domain_scores_gemma":[0.99985504,0.000073107,0.000017141198,0.000010009399,0.00003838474,0.0000062377317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030443998,0.0004897794,0.000544483,0.00025349428,0.0003892072,0.0009263901,0.000537759,0.00072155043,0.0016316776],"category_scores_gemma":[0.00048691957,0.00027119467,0.0006561883,0.000287088,0.0002933513,0.00046052164,0.0004119759,0.000436465,0.0003138031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051687035,0.0000370503,0.001112106,0.00009080878,0.000015023922,0.00007512391,0.000037679005,0.9772456,0.014142321,0.0007641964,0.0001743355,0.0062539233],"study_design_scores_gemma":[0.000002807774,0.000030079427,0.00032537838,0.0000027625726,0.0000038457006,0.000011255951,0.000006615146,0.9969422,0.0023328548,0.000085152125,0.00025381419,0.0000031320862],"about_ca_topic_score_codex":0.00878018,"about_ca_topic_score_gemma":0.0035981452,"teacher_disagreement_score":0.00878018,"about_ca_system_score_codex":0.0005339712,"about_ca_system_score_gemma":0.0010563713,"threshold_uncertainty_score":0.01745814},"labels":[],"label_agreement":null},{"id":"W4414675275","doi":"10.1016/j.renene.2025.124532","title":"Cyclic in-situ co-pyrolysis of Phoenix Tree's Leaves and Purified Terephthalic Acid Sludge Ash based biochar for producing high-quality syngas","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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":"Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions; Natural Science Research of Jiangsu Higher Education Institutions of China; China Scholarship Council","keywords":"Biochar; tar (computing); Terephthalic acid; Pyrolysis; Syngas; Yield (engineering); Carbon fibers","score_opus":0.010865000270407675,"score_gpt":0.23863786186977295,"score_spread":0.22777286159936527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414675275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980489,0.0001799799,0.0009865494,0.000016487895,0.000012976595,0.0000064050028,0.00009902383,0.000013663887,0.0006360871],"genre_scores_gemma":[0.9988411,0.0000985948,0.00052040356,0.0000071537374,0.0000026270188,0.0000031654913,0.000052984942,0.000005184249,0.00046880363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994516,0.0000046131845,0.0000034579243,0.00001523104,0.000015327518,0.000016191525],"domain_scores_gemma":[0.99996674,0.000009869899,0.00000883501,0.0000036321312,0.0000050094022,0.000005957231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097416196,0.00020108679,0.00013235536,0.00012085967,0.00011747936,0.00018093627,0.00016016266,0.00013566701,0.00060832954],"category_scores_gemma":[0.00007668651,0.000106149026,0.00017722626,0.00015177969,0.00011466035,0.00022457862,0.00012247892,0.0003189742,0.00010930681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000722029,0.000013401014,0.00011498018,0.00002190291,0.0000036640843,0.000021892762,0.000008044701,0.00008303832,0.99880624,0.000030122796,0.000009621463,0.00081489043],"study_design_scores_gemma":[0.0000028153604,0.000056208646,0.00093280355,9.813821e-7,0.000004734469,0.00002035222,0.000009109153,0.0005287358,0.99827635,0.000010120765,0.00015630438,0.0000015123902],"about_ca_topic_score_codex":0.00051521685,"about_ca_topic_score_gemma":0.0021328533,"teacher_disagreement_score":0.00060832954,"about_ca_system_score_codex":0.0001357901,"about_ca_system_score_gemma":0.00015493759,"threshold_uncertainty_score":0.0020350218},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W4415503091","doi":"10.1016/j.renene.2025.124654","title":"Knowledge-Fusion Graph Transformer network for wind farm assessment with sparse data","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"Artificial Intelligence in Medicine (Canada)","funders":"NIHR Sheffield Clinical Research Facility; Science, Technology and Innovation Commission of Shenzhen Municipality; Guangdong Science and Technology Department; National Key Research and Development Program of China; Research Grants Council, University Grants Committee","keywords":"Transformer; Wind power; Turbine; Graph; Baseline (sea); Sparse matrix; Data-driven","score_opus":0.021596462768405787,"score_gpt":0.27034486547528175,"score_spread":0.24874840270687595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415503091","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045676794,0.00035673034,0.9494009,0.00035532398,0.0000482131,0.000075443044,0.0010541505,0.0008247128,0.0022077619],"genre_scores_gemma":[0.8979581,0.000286122,0.09743814,0.000118733195,0.000050920902,0.000099082186,0.0020401266,0.00005387673,0.0019548035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962366,0.00010332362,0.000019717496,0.00010885458,0.00009841379,0.00004603074],"domain_scores_gemma":[0.99882144,0.0006888548,0.00009013776,0.00011725936,0.00024146373,0.00004085818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075141626,0.00072703086,0.0008021955,0.0014225404,0.00038044137,0.0007465425,0.0009875341,0.00094617467,0.0021729781],"category_scores_gemma":[0.0037855096,0.00029577856,0.0006186403,0.0013038688,0.00040548854,0.0015186121,0.0009013157,0.00089251524,0.0004631964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022825811,0.000105122,0.0022280812,0.00011010254,0.00009519552,0.0001663885,0.000054911714,0.8083549,0.0017249417,0.0063414676,0.0032590728,0.17733152],"study_design_scores_gemma":[0.00000395688,0.000011695037,0.00022110078,0.0000058140567,0.000011243596,0.000013905084,0.000009338504,0.9930502,0.00028171763,0.006205684,0.00018232511,0.0000029030984],"about_ca_topic_score_codex":0.013350468,"about_ca_topic_score_gemma":0.015822481,"teacher_disagreement_score":0.013350468,"about_ca_system_score_codex":0.0007008323,"about_ca_system_score_gemma":0.0009754875,"threshold_uncertainty_score":0.026545525},"labels":[],"label_agreement":null},{"id":"W4415679765","doi":"10.1016/j.renene.2025.124668","title":"Tidal and wave driven hydrokinetic power in atolls of an amphidromic region in the Pacific Ocean","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"Canadian Nautical Research Society; H2020 Marie Skłodowska-Curie Actions; Horizon 2020 Framework Programme; Conseil Régional de Haute Normandie","keywords":"Atoll; Tidal power; Current (fluid); Kinetic energy; Flow (mathematics); Energy flux; Tidal current; Flux (metallurgy); Flood myth","score_opus":0.006505381951565136,"score_gpt":0.19561424757121082,"score_spread":0.18910886561964568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415679765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997317,0.000009987609,0.000025965694,0.0000036258514,4.951938e-7,0.0000021824608,0.00004295877,8.9347304e-7,0.00018220682],"genre_scores_gemma":[0.9996339,0.000022620277,0.00008367679,0.0000033383176,8.427695e-7,0.0000031236034,0.00007213714,7.011756e-7,0.0001795513],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999286,0.0000074685227,0.000004169552,0.000021219468,0.000016573102,0.000021932688],"domain_scores_gemma":[0.99982697,0.00001741099,0.00004302954,0.0000061260594,0.00005540008,0.000051051837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007868219,0.00015051487,0.0001601257,0.00058049767,0.00065030006,0.00044530266,0.00014696857,0.0001947563,0.00051092],"category_scores_gemma":[0.00023892523,0.000095149975,0.00011325424,0.00063103595,0.00032213877,0.0002053849,0.00027544794,0.00014336222,0.00009360789],"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":[0.000136393,0.000047987927,0.9729469,0.000023053974,0.000035043355,0.00055583206,0.0014903918,0.00035805957,0.018325424,0.000029152874,0.00009636339,0.0059553934],"study_design_scores_gemma":[0.0000018311204,0.000029454475,0.9980909,0.000002604948,0.0000072809326,0.000054682878,0.0010113281,0.00037304425,0.00027689757,0.0000048151487,0.0001439842,0.0000030804545],"about_ca_topic_score_codex":0.13937321,"about_ca_topic_score_gemma":0.30701253,"teacher_disagreement_score":0.13937321,"about_ca_system_score_codex":0.0006182639,"about_ca_system_score_gemma":0.00046061008,"threshold_uncertainty_score":0.27712393},"labels":[],"label_agreement":null},{"id":"W4416040588","doi":"10.1016/j.renene.2025.124736","title":"In-situ lignin modification in acid-alkaline combinational pretreatment on masson pine for efficient biomass saccharification","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biofuel production and bioconversion","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 Calgary","funders":"Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Lignin; Enzymatic hydrolysis; Cellulose; Hydrolysis; Lignocellulosic biomass; Softwood","score_opus":0.012902809828588883,"score_gpt":0.2376616754060109,"score_spread":0.22475886557742203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416040588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99507904,0.00081443536,0.002160752,0.000025331023,0.000039104547,0.000011883649,0.000079847254,0.000032399086,0.0017571859],"genre_scores_gemma":[0.99741566,0.00024844392,0.0005408024,0.000009469173,0.0000038453477,0.000003921542,0.000039297054,0.0000069061048,0.00173163],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999361,0.0000049927276,0.000003329231,0.000013746543,0.000016736873,0.000025178248],"domain_scores_gemma":[0.9999796,0.0000027793155,0.00000546421,0.0000021741657,0.0000044916387,0.0000053919507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000724172,0.00033056785,0.00018018583,0.0001266113,0.00019915312,0.00025447647,0.00015644486,0.00015134757,0.0010083205],"category_scores_gemma":[0.000049841277,0.00012241668,0.00017108781,0.00013845184,0.000104606006,0.00021006368,0.00014824813,0.00033569272,0.00020556748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049556857,0.000013440723,0.00007211779,0.000024763627,0.0000028031216,0.00002977303,0.0000118684,0.00006784105,0.9983,0.000037527214,0.000013759015,0.0013766517],"study_design_scores_gemma":[0.0000021516626,0.000055453336,0.00082697364,0.0000015186369,0.0000065015,0.000019875419,0.000015029016,0.00030302882,0.9982488,0.000011343242,0.0005070156,0.0000023275518],"about_ca_topic_score_codex":0.0009681853,"about_ca_topic_score_gemma":0.0037973714,"teacher_disagreement_score":0.0010083205,"about_ca_system_score_codex":0.00012803932,"about_ca_system_score_gemma":0.00017823765,"threshold_uncertainty_score":0.0033732057},"labels":[],"label_agreement":null},{"id":"W4416091520","doi":"10.1016/j.renene.2025.124738","title":"Multi-step short-term solar energy forecasting using Fourier-enhanced BiLSTM and neural additive models","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","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 Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Robustness (evolution); Artificial neural network; Data pre-processing; Mean squared error; Benchmark (surveying); Generalization; Preprocessor; Mean absolute percentage error","score_opus":0.043388137088090806,"score_gpt":0.25947353736161416,"score_spread":0.21608540027352335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416091520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12576497,0.000929745,0.8660721,0.000399293,0.00021853157,0.000035179513,0.00030097077,0.0019035023,0.004375713],"genre_scores_gemma":[0.9438735,0.00027910623,0.05335054,0.0000885107,0.00004426508,0.000033654134,0.00034337497,0.00006264174,0.0019243589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987113,0.000017203034,0.000009882772,0.000038177048,0.000043670047,0.000019938727],"domain_scores_gemma":[0.99979943,0.00006650438,0.000024806168,0.000021708458,0.00007381815,0.000013845504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044864218,0.0007650123,0.00045658674,0.0003482176,0.00021815511,0.000590337,0.00084568927,0.0005303685,0.0010215567],"category_scores_gemma":[0.0011280301,0.00025563277,0.0005580686,0.00038622392,0.0002084293,0.0009413958,0.0005420798,0.0009998231,0.00035492345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095143216,0.00007591008,0.0019943502,0.00007603209,0.00006965136,0.00014077398,0.00005938158,0.86208016,0.008981024,0.0034369323,0.001350641,0.121640004],"study_design_scores_gemma":[8.360618e-7,0.0000063121147,0.00009896623,0.0000016338198,0.0000024358403,0.000005538089,0.0000016766738,0.9990019,0.00038336866,0.00037845864,0.00011678734,0.000002142097],"about_ca_topic_score_codex":0.008983344,"about_ca_topic_score_gemma":0.011637606,"teacher_disagreement_score":0.008983344,"about_ca_system_score_codex":0.00036953946,"about_ca_system_score_gemma":0.0005941528,"threshold_uncertainty_score":0.017862082},"labels":[],"label_agreement":null},{"id":"W4416585357","doi":"10.1016/j.renene.2025.124663","title":"Removal notice to “Exergy and thermoeconomic analysis of a novel polygeneration system based on gasification and power-to-X strategy” [RENE 236 (2024) 121438]","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","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":"Notice; Economic analysis; Production (economics); Absorption refrigerator","score_opus":0.0060272513563161875,"score_gpt":0.20881563017393812,"score_spread":0.20278837881762193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416585357","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":[0.010415611,0.010787115,0.030434819,0.13037185,0.31809014,0.00066533836,0.010651588,0.004569277,0.48401427],"genre_scores_gemma":[0.01849948,0.0015949961,0.0027840673,0.011854829,0.016267933,0.00010410043,0.0031811711,0.0010320656,0.94468147],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890256,0.00010277724,0.000051274626,0.00012185513,0.000695822,0.00012567863],"domain_scores_gemma":[0.9982843,0.0004278098,0.00009066658,0.00014469949,0.0009228529,0.00012967549],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010889885,0.00089111016,0.0010159957,0.0009850876,0.0016886813,0.0020286234,0.0019216018,0.0032225824,0.15505166],"category_scores_gemma":[0.0047314265,0.00039536538,0.0011916233,0.0009391986,0.000666554,0.0014328695,0.0009865791,0.0029439488,0.03723136],"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":[0.00020574473,0.00008297054,0.00016518122,0.00014995351,0.000016511216,0.00012907473,0.000027756156,0.00039147027,0.0042392565,0.008499634,0.96156794,0.024524523],"study_design_scores_gemma":[0.00006162641,0.00015994662,0.002185573,0.000057403413,0.00001787412,0.00008978596,0.000027814549,0.0014637319,0.0032271338,0.0053526233,0.987318,0.000038594884],"about_ca_topic_score_codex":0.0134096835,"about_ca_topic_score_gemma":0.022102125,"teacher_disagreement_score":0.9967774,"about_ca_system_score_codex":0.0018129704,"about_ca_system_score_gemma":0.0031806508,"threshold_uncertainty_score":0.5186995},"labels":[],"label_agreement":null},{"id":"W4416957512","doi":"10.1016/j.renene.2025.124932","title":"Intensified steam reforming of a simulated bio-oil for renewable hydrogen production over CeO2-promoted Ni/CaO bifunctional material: Experimental kinetics and reactor modeling","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Catalysts for Methane Reforming","field":"Chemical 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 Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Steam reforming; Hydrogen production; Bifunctional; Renewable energy; Production (economics); Kinetics","score_opus":0.01480290211388058,"score_gpt":0.24272740742088328,"score_spread":0.2279245053070027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416957512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978229,0.00018060568,0.0011289734,0.00002083217,0.0000044455123,0.00001809616,0.0003266668,0.000031680313,0.00046589502],"genre_scores_gemma":[0.997964,0.0002444241,0.0012285166,0.0000039003803,0.0000014823048,0.000013925,0.00015568892,0.000006974159,0.00038113914],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992704,0.000007725136,0.000007710181,0.000015635402,0.000025184241,0.000016684928],"domain_scores_gemma":[0.9999341,0.0000236748,0.000015652402,0.0000049290143,0.000013316453,0.000008327637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002198391,0.00042698032,0.00040712036,0.00018882302,0.00012671902,0.0001839215,0.00032270805,0.00032061143,0.0009309696],"category_scores_gemma":[0.00022314962,0.00016696515,0.0003069455,0.00024808646,0.0001524543,0.00026532565,0.00011139605,0.00036538288,0.0001608854],"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":[0.00037292912,0.00008102563,0.0007392448,0.00018495481,0.000012376319,0.00006589662,0.000039453473,0.0062565263,0.99022806,0.00016820394,0.000040017447,0.0018112898],"study_design_scores_gemma":[0.00002162016,0.00032725767,0.0019120191,0.0000064631836,0.000014026923,0.000020850883,0.00003054869,0.029220426,0.9679253,0.000033676642,0.0004768167,0.000010995232],"about_ca_topic_score_codex":0.004264643,"about_ca_topic_score_gemma":0.0052098176,"teacher_disagreement_score":0.004264643,"about_ca_system_score_codex":0.00045192,"about_ca_system_score_gemma":0.0002737676,"threshold_uncertainty_score":0.008479655},"labels":[],"label_agreement":null},{"id":"W4416998988","doi":"10.1016/j.renene.2025.124953","title":"Sustained performance and structural optimization of a solar radiation shielding technique for cooling permafrost foundations under climate warming","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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":"Science and Technology Program of Gansu Province; National Natural Science Foundation of China; State Key Laboratory of Cryospheric Science; Key Science and Technology Foundation of Gansu Province; West Light Foundation of the Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Permafrost; Renewable energy; Passive cooling; Electromagnetic shielding; Albedo (alchemy); Convection; Climate change; Solar gain","score_opus":0.015976359460595294,"score_gpt":0.2473240365590801,"score_spread":0.2313476770984848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416998988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889213,0.000104316896,0.008739812,0.00003089459,0.000015564494,0.000009060162,0.00002589348,0.000055986857,0.0020971738],"genre_scores_gemma":[0.99710506,0.000024982668,0.0021894341,0.0000040363957,0.000002224486,0.0000041253675,0.00001680448,0.000008515543,0.0006448921],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990726,0.0000104736755,0.0000035634646,0.000019700905,0.000038105638,0.000020891659],"domain_scores_gemma":[0.9998503,0.000035690246,0.000028333407,0.000021976111,0.00004607232,0.000017507587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019603717,0.00027496644,0.00024081157,0.00024985208,0.00039948281,0.00026445714,0.00038011963,0.00029597827,0.0020200259],"category_scores_gemma":[0.00027655312,0.00012991458,0.00027102436,0.00016947003,0.00018951547,0.00020818977,0.00021739036,0.00023521319,0.00022719799],"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":[0.00062379893,0.00036324296,0.004689725,0.00016047516,0.000037664973,0.00016647723,0.00019038515,0.16153356,0.77168345,0.0006976489,0.00037368035,0.059479967],"study_design_scores_gemma":[0.00009301006,0.005296923,0.02403132,0.00002978467,0.00015637948,0.0002661447,0.00036709756,0.47244278,0.49352452,0.00045113268,0.0032909159,0.000050058494],"about_ca_topic_score_codex":0.0006514551,"about_ca_topic_score_gemma":0.0021945636,"teacher_disagreement_score":0.0020200259,"about_ca_system_score_codex":0.00021931551,"about_ca_system_score_gemma":0.00032775174,"threshold_uncertainty_score":0.0067576766},"labels":[],"label_agreement":null},{"id":"W4417207554","doi":"10.1016/j.renene.2025.124993","title":"Comparative life cycle assessment of wood pellet supply chains: Evaluating torrefaction, hydrothermal carbonization and steam explosion pre-treatment pathways","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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":"University of British Columbia","funders":"Beijing University of Chemical Technology; University of British Columbia; Ministry of Science and Technology of the People's Republic of China","keywords":"Pellet; Hydrothermal carbonization; Biomass (ecology); Life-cycle assessment; Combustion; Coal; Carbonization; Bioenergy; Solid fuel","score_opus":0.014829047194279065,"score_gpt":0.26115725344697616,"score_spread":0.24632820625269708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417207554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99621236,0.00039176366,0.001495759,0.000022579881,0.000007448199,0.000056996247,0.00082210987,0.00002095931,0.00096997956],"genre_scores_gemma":[0.9962185,0.0003477465,0.0014549915,0.000007701661,0.0000020735622,0.000048116024,0.0007336779,0.0000076062097,0.001179684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968195,0.000072514806,0.000021522967,0.00004889804,0.00011508055,0.000059946222],"domain_scores_gemma":[0.9989312,0.00047604187,0.00012575753,0.000042219617,0.0003550439,0.00006967493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010870761,0.0007206028,0.0005860187,0.0016691191,0.00044526914,0.000778534,0.00055587426,0.00071675,0.0031023102],"category_scores_gemma":[0.0010242307,0.0002585245,0.0010308989,0.001230404,0.0002328626,0.0010007842,0.00037949468,0.00043574147,0.00035168542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0093236985,0.0017456472,0.04344253,0.001256401,0.0004210931,0.0005676347,0.00024068217,0.5818281,0.27179763,0.0011143475,0.0006465372,0.08761578],"study_design_scores_gemma":[0.00019906028,0.017795302,0.043240793,0.00009099244,0.00060636125,0.00018587614,0.0007236816,0.59235626,0.34138894,0.0010571972,0.0022447964,0.00011085048],"about_ca_topic_score_codex":0.00856447,"about_ca_topic_score_gemma":0.01172144,"teacher_disagreement_score":0.00856447,"about_ca_system_score_codex":0.0014670165,"about_ca_system_score_gemma":0.0007067514,"threshold_uncertainty_score":0.017029226},"labels":[],"label_agreement":null},{"id":"W613399515","doi":"10.1016/j.renene.2015.05.022","title":"Optimal design of hybrid renewable energy systems in buildings with low to high renewable energy ratio","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":112,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Renewable energy; Photovoltaic system; Automotive engineering; Particle swarm optimization; Wind power; Engineering; Multi-objective optimization; Hybrid system; Environmental science; Process engineering; Computer science; Electrical engineering","score_opus":0.015310695451762881,"score_gpt":0.21192878825399394,"score_spread":0.19661809280223105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W613399515","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1828679,0.0017187393,0.75661796,0.00070906477,0.0001890651,0.00018570569,0.00022602355,0.00022245233,0.057263162],"genre_scores_gemma":[0.98080367,0.0002713162,0.014278632,0.000052901447,0.000028362643,0.00011876859,0.00004494627,0.000034369274,0.004366864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969697,0.000120817356,0.000008384267,0.00004428933,0.00006988239,0.00005972628],"domain_scores_gemma":[0.99962497,0.00021839372,0.000045632532,0.00001245034,0.00007202829,0.000026608617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005840423,0.00079975545,0.0013564476,0.00063234114,0.0005721402,0.0017427224,0.0007321659,0.0012102056,0.0043971995],"category_scores_gemma":[0.0012279681,0.0009571868,0.000686591,0.00050393015,0.00072481507,0.0007703042,0.0008805181,0.00062723143,0.0004689423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048873666,0.00002683023,0.0001303846,0.00004623763,0.000020827461,0.000027484963,0.000013651638,0.99134934,0.001165108,0.0034669628,0.0002136388,0.003490674],"study_design_scores_gemma":[0.000015887244,0.000038135116,0.00012005464,0.0000059695403,0.000010496542,0.000005730311,0.000019555944,0.99736613,0.0003029879,0.0018403954,0.0002686183,0.0000059879117],"about_ca_topic_score_codex":0.003718061,"about_ca_topic_score_gemma":0.0047603976,"teacher_disagreement_score":0.0043971995,"about_ca_system_score_codex":0.0010794783,"about_ca_system_score_gemma":0.0008577789,"threshold_uncertainty_score":0.014710128},"labels":[],"label_agreement":null},{"id":"W6921756420","doi":"10.1016/j.renene.2025.123970","title":"High-resolution mapping of river hydrokinetic energy resources in Canada using remote sensing","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","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":"National Research Council Canada; University of Ottawa","funders":"Natural Resources Canada; National Research Council Canada; Office of Energy Research and Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Electricity; Field (mathematics); Electricity generation; Water resources; Energy (signal processing); Reliability (semiconductor)","score_opus":0.007660996475575242,"score_gpt":0.18188048127152745,"score_spread":0.1742194847959522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921756420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90443486,0.00093061663,0.0056541567,0.0006020816,0.000029658057,0.00019087666,0.06329892,0.0008340052,0.024024917],"genre_scores_gemma":[0.9523743,0.00060099486,0.011239023,0.00013191358,0.0000072844905,0.00007127064,0.028216252,0.00008262494,0.0072764126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963486,0.000010656568,0.000011980518,0.00006381903,0.0001728908,0.000105729574],"domain_scores_gemma":[0.99947435,0.000024783585,0.000030077044,0.000023323671,0.0003799222,0.00006759427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002283784,0.00034919148,0.0002755128,0.0021803912,0.0013434445,0.0011060039,0.0006195496,0.00030312105,0.0017744884],"category_scores_gemma":[0.00070362096,0.0002290057,0.00033624377,0.0038897458,0.00045282496,0.00027863786,0.0006491022,0.00035378092,0.0003935694],"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":[0.00042221154,0.00042690293,0.6252354,0.0006251748,0.0003716149,0.00091326813,0.0030298668,0.04667098,0.02984631,0.004668231,0.052031152,0.23575895],"study_design_scores_gemma":[0.000053382024,0.000024567265,0.9034352,0.0001251213,0.00006617745,0.00011114602,0.0026420678,0.044528626,0.003240233,0.0004296246,0.045227896,0.00011598842],"about_ca_topic_score_codex":0.9945311,"about_ca_topic_score_gemma":0.9977986,"teacher_disagreement_score":0.0129634775,"about_ca_system_score_codex":0.0129634775,"about_ca_system_score_gemma":0.022091378,"threshold_uncertainty_score":0.09405702},"labels":[],"label_agreement":null},{"id":"W7077072801","doi":"10.1016/j.renene.2025.124250","title":"Towards an equitable transition: Renewable energy effect on educational outcomes in Canadian communities","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","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":"University of Saskatchewan","funders":"","keywords":"Renewable energy; Human capital; Population; Equity (law); Spatial econometrics; Indigenous; Educational attainment; Panel data; Weighting","score_opus":0.011901268593562058,"score_gpt":0.24402373214035872,"score_spread":0.23212246354679666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7077072801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731418,0.0010998052,0.0016593962,0.0028379422,0.000026597538,0.000046090954,0.0036735982,0.000044287797,0.017470546],"genre_scores_gemma":[0.9971921,0.00023170839,0.00048064147,0.000073159135,0.0000035838718,0.0000075469334,0.00056197745,0.000007926659,0.0014413324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989465,0.00019683734,0.00003251217,0.0001809448,0.00029211355,0.00035110803],"domain_scores_gemma":[0.99684036,0.0004966095,0.00038651764,0.00023872984,0.0015128434,0.00052491546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017363118,0.00033684666,0.00040671727,0.0015727167,0.0025142627,0.0018207766,0.0009265918,0.00035670478,0.0045357635],"category_scores_gemma":[0.0073251114,0.00012839535,0.0007308003,0.003063331,0.0012312997,0.0007376942,0.0020967447,0.00090154377,0.000215096],"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":[0.0001625805,0.000085981424,0.92848575,0.00010241784,0.0002485126,0.00015854677,0.0027069864,0.0071674767,0.00046534563,0.010811652,0.00403017,0.04557466],"study_design_scores_gemma":[0.000011383328,0.00003396312,0.9773142,0.00011286456,0.00014474722,0.000027719861,0.0048515513,0.006494672,0.00039778865,0.0023852417,0.008191652,0.000034336605],"about_ca_topic_score_codex":0.9956175,"about_ca_topic_score_gemma":0.9967714,"teacher_disagreement_score":0.019451573,"about_ca_system_score_codex":0.019451573,"about_ca_system_score_gemma":0.03836556,"threshold_uncertainty_score":0.1411317},"labels":[],"label_agreement":null},{"id":"W7117566861","doi":"10.1016/j.renene.2025.125166","title":"Modular solvent-enabled targeted cleavage of lignin-carbohydrate ester linkages for sustainable straw refining","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Lignin and Wood Chemistry","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 Calgary","funders":"National Key Research and Development Program of China; Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Biorefinery; Fractionation; Lignin; Xylose; Biomass (ecology); Monosaccharide; Solvent; Extraction (chemistry); Biofuel","score_opus":0.004920532264819393,"score_gpt":0.20196286035805944,"score_spread":0.19704232809324004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117566861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96231824,0.0012472415,0.026625855,0.00014971773,0.00008285327,0.000073608484,0.00043964386,0.00036417146,0.008698671],"genre_scores_gemma":[0.98797256,0.0007215553,0.007185394,0.000051971358,0.000009987391,0.00002471611,0.00025730522,0.000033647357,0.0037429265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998914,0.000007966595,0.000004568038,0.000021130332,0.000027130278,0.000047783433],"domain_scores_gemma":[0.99996126,0.0000059115105,0.000010692669,0.000005561915,0.0000066345588,0.00000983673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019736428,0.0003735399,0.00018033691,0.00018169403,0.00011987912,0.0002586929,0.00034302226,0.00029521453,0.0015302567],"category_scores_gemma":[0.0001402689,0.00014538989,0.000290995,0.00021667707,0.00016480547,0.00040507686,0.0004701275,0.0006121525,0.0006710034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000998241,0.00006478406,0.00014499921,0.00009204966,0.00001698939,0.00010454025,0.00004097492,0.0007646101,0.9879672,0.0011631802,0.00022663713,0.009314307],"study_design_scores_gemma":[0.000013076594,0.00018605565,0.0004441736,0.000004878134,0.000007820821,0.0000621633,0.00001683763,0.0015094731,0.99441904,0.0001225801,0.0032048568,0.000009054014],"about_ca_topic_score_codex":0.0004296424,"about_ca_topic_score_gemma":0.0015218076,"teacher_disagreement_score":0.0015302567,"about_ca_system_score_codex":0.00028767134,"about_ca_system_score_gemma":0.00034028545,"threshold_uncertainty_score":0.0051192045},"labels":[],"label_agreement":null},{"id":"W7117574827","doi":"10.1016/j.renene.2025.125148","title":"A socio-eco-efficiency analysis of waste-to-energy strategies","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Municipal Solid Waste Management","field":"Environmental Science","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 Ottawa","funders":"","keywords":"Digestate; Sustainability; Incineration; Anaerobic digestion; Environmental impact assessment; Sustainable development","score_opus":0.007072680923459786,"score_gpt":0.23659897006812267,"score_spread":0.2295262891446629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117574827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57608855,0.0013704267,0.055711467,0.0051228865,0.000045487155,0.00034249673,0.0006387326,0.00006029219,0.36061975],"genre_scores_gemma":[0.99571604,0.00021330852,0.0013188137,0.00005835102,0.00000799237,0.000043393946,0.000034179786,0.0000065703143,0.0026012778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988751,0.0005697894,0.00002236456,0.000046128756,0.0002205626,0.00026601783],"domain_scores_gemma":[0.9980381,0.0012919913,0.00014973039,0.000087222594,0.00031960246,0.000113436865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015669717,0.0005105537,0.00043530593,0.0027106972,0.0009808303,0.0031075943,0.00074043643,0.0010560568,0.011163588],"category_scores_gemma":[0.0032663546,0.00021616428,0.00079053914,0.0020888806,0.001730892,0.0023511571,0.0014511283,0.00067863107,0.00044283585],"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":[0.000085487474,0.0002703419,0.008584724,0.00009079671,0.00009371108,0.00018945291,0.00033487915,0.060861792,0.0006541947,0.9073354,0.0013232934,0.020175865],"study_design_scores_gemma":[0.000076051714,0.00042398946,0.0308951,0.00016930612,0.00019531761,0.00015718865,0.00956597,0.2152682,0.0018736396,0.71829504,0.023035612,0.000044534572],"about_ca_topic_score_codex":0.0054948092,"about_ca_topic_score_gemma":0.008174426,"teacher_disagreement_score":0.011163588,"about_ca_system_score_codex":0.004390923,"about_ca_system_score_gemma":0.0022378052,"threshold_uncertainty_score":0.037345946},"labels":[],"label_agreement":null},{"id":"W7117721769","doi":"10.1016/j.renene.2025.125131","title":"Interaction effects of feedstock and temperature on biogas production during torrefaction-coupled catalytic stepwise pyrolysis of phytoremediation biomass","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Thermochemical Biomass Conversion Processes","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":"Basic and Applied Basic Research Foundation of Guangdong Province; Guangdong Science and Technology Department; National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Torrefaction; Deoxygenation; Pyrolysis; Biomass (ecology); Catalysis; Raw material; Biogas","score_opus":0.002559123170990676,"score_gpt":0.1841948581135139,"score_spread":0.18163573494252325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117721769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99887544,0.00029990688,0.0003494696,0.000017663104,0.000014253783,0.0000048522697,0.000069930386,0.000014288311,0.00035417388],"genre_scores_gemma":[0.99932957,0.00015295434,0.00016847119,0.000009408835,0.0000024850035,0.0000031574343,0.000042961357,0.000008692924,0.00028234502],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998068,0.000033235236,0.000016954837,0.00003735477,0.000042668096,0.00006297889],"domain_scores_gemma":[0.99979264,0.00011352082,0.000029736271,0.000011936992,0.000033968925,0.000018302837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021338298,0.00029584707,0.00037040832,0.00015002083,0.00016318345,0.00042492087,0.00022326666,0.0002452813,0.001197527],"category_scores_gemma":[0.00042157326,0.00020525746,0.00031629243,0.00019645349,0.00024763346,0.00035036425,0.00016603198,0.00035000223,0.0002361162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001160183,0.00005682284,0.00043369993,0.000073442134,0.000021089234,0.00007059466,0.000044502827,0.00043821128,0.99531674,0.000036206944,0.000039072802,0.0023093608],"study_design_scores_gemma":[0.000008844982,0.0002132635,0.0029766476,0.000003749797,0.000023217799,0.000021269205,0.000032675212,0.001311144,0.9952107,0.000011187697,0.00017838964,0.00000890263],"about_ca_topic_score_codex":0.0013276215,"about_ca_topic_score_gemma":0.0033337323,"teacher_disagreement_score":0.0013276215,"about_ca_system_score_codex":0.00026499497,"about_ca_system_score_gemma":0.00021481092,"threshold_uncertainty_score":0.004006088},"labels":[],"label_agreement":null}]}