{"meta":{"query_hash":"2cdbc549b26c","filters":{"venue":"Energies"},"cohort_total":1612,"direct_labels_cover":4,"predictions_cover":1612,"exported":1612,"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/2cdbc549b26c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Energies"},"results":[{"id":"W1490375961","doi":"10.3390/en8064983","title":"DC Flashover Performance of Ice-Covered Composite Insulators with Parallel Air Gaps","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université du Québec à Chicoutimi","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Arc flash; Icing; Insulator (electricity); Materials science; Low-pressure area; Air gap (plumbing); Environmental science; Composite material; Composite number; Atmospheric pressure; Atmospheric sciences; Meteorology; Physics","score_opus":0.00953522072253355,"score_gpt":0.18576552772816574,"score_spread":0.1762303070056322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490375961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999172,0.00016123809,0.00038008846,0.0000066775387,0.000012749916,0.0000025693605,0.00004088343,0.000013894018,0.00021000628],"genre_scores_gemma":[0.9993411,0.000093576724,0.00023072016,0.000005923454,0.0000044228173,0.0000019678853,0.00006517984,0.0000045112665,0.00025259884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997981,0.0000134966285,0.000017614628,0.00003938619,0.000073113646,0.000058265327],"domain_scores_gemma":[0.99950373,0.00010648664,0.00008415411,0.00004086153,0.00017149847,0.00009331709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018169248,0.00027744655,0.00028750024,0.0004321647,0.00017968808,0.00025243932,0.00022135391,0.00030386032,0.0008533347],"category_scores_gemma":[0.00047786362,0.0001383551,0.00024347904,0.00037238433,0.00016441324,0.00030431084,0.00028171722,0.0003016968,0.00013635894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008443773,0.00005179966,0.0037997903,0.0001266308,0.000034642748,0.00023188267,0.00008064549,0.0011794113,0.98826665,0.000047452737,0.00009512526,0.005241621],"study_design_scores_gemma":[0.000016584878,0.0015561609,0.024281178,0.0000105401095,0.000060175007,0.00022662085,0.00015459064,0.005513595,0.9673963,0.000026476991,0.00074628356,0.000011408081],"about_ca_topic_score_codex":0.0006722714,"about_ca_topic_score_gemma":0.0007918238,"teacher_disagreement_score":0.0008533347,"about_ca_system_score_codex":0.00016256225,"about_ca_system_score_gemma":0.000091747104,"threshold_uncertainty_score":0.0028546453},"labels":[],"label_agreement":null},{"id":"W1886883945","doi":"10.3390/en8099266","title":"An Approach to Identify the Suitable Plant Location for Miscanthus-Based Ethanol Industry: A Case Study in Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Miscanthus; Greenhouse gas; Energy crop; Bioenergy; Ethanol fuel; Biofuel; Renewable energy; Biomass (ecology); Environmental science; Raw material; Life-cycle assessment; Corn ethanol; Biorefinery; Renewable resource; Land use; Agricultural economics; Production (economics); Waste management; Agronomy; Economics; Engineering; Chemistry; Ecology","score_opus":0.04534540645268805,"score_gpt":0.2614906796624883,"score_spread":0.21614527320980023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1886883945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97640526,0.00039617522,0.0033914289,0.0003171261,0.000009192403,0.0003031281,0.0016630869,0.000038156068,0.017476507],"genre_scores_gemma":[0.9879089,0.00041515034,0.004821327,0.000036054254,0.0000016141406,0.000040739964,0.0007790924,0.000009915572,0.005987231],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968755,0.000039784918,0.000010992152,0.000037412843,0.000106422456,0.000117907264],"domain_scores_gemma":[0.9996018,0.000092727234,0.000038399325,0.000015246574,0.00020681434,0.00004507272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003111449,0.00052418397,0.0002085253,0.00089039723,0.002131083,0.0011093746,0.00082374277,0.0005623855,0.0018929833],"category_scores_gemma":[0.00070264935,0.00023690547,0.0005903685,0.0021004654,0.0005995024,0.000411016,0.0004093192,0.0002769592,0.00011871357],"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":[0.0011247168,0.00066845684,0.43749455,0.0012802337,0.00024618983,0.016420687,0.0047812406,0.3796956,0.033842325,0.015334415,0.01047165,0.098639905],"study_design_scores_gemma":[0.00021214472,0.00088450045,0.47084665,0.0002873222,0.00044752628,0.0012882564,0.055397075,0.3943406,0.01919559,0.0031416786,0.05370313,0.0002555369],"about_ca_topic_score_codex":0.98370725,"about_ca_topic_score_gemma":0.99348044,"teacher_disagreement_score":0.031855974,"about_ca_system_score_codex":0.031855974,"about_ca_system_score_gemma":0.019228188,"threshold_uncertainty_score":0.23113233},"labels":[],"label_agreement":null},{"id":"W1936333376","doi":"10.3390/en81010684","title":"A New Approach for Modeling Darrieus-Type Vertical Axis Wind Turbine Rotors Using Electrical Equivalent Circuit Analogy: Basis of Theoretical Formulations and Model Development","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Chicoutimi","funders":"","keywords":"Aerodynamics; Turbine; Engineering; Electrical network; Development (topology); Analogy; Wind tunnel; Engineering design process; Wind power; Mechanical engineering; Process (computing); Equivalent circuit; Underpinning; Control engineering; Computer science; Aerospace engineering; Electrical engineering; Mathematics; Voltage","score_opus":0.07059699010727181,"score_gpt":0.2812377562736481,"score_spread":0.21064076616637628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1936333376","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":[0.0055795293,0.00018921134,0.9875293,0.00007952428,0.00004887644,0.000032887558,0.00004722382,0.000121037636,0.006372502],"genre_scores_gemma":[0.61225945,0.0018068457,0.36394823,0.00016976333,0.00010685225,0.0003555765,0.00028573064,0.00013281057,0.020934751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989367,0.000026291642,0.0000055354785,0.000018761159,0.00004972713,0.0000060977372],"domain_scores_gemma":[0.9999261,0.000028248109,0.000010216853,0.000011693881,0.000020087113,0.0000035417502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690361,0.0005068308,0.00033796075,0.00038461774,0.00022245834,0.00056167174,0.000848202,0.00082713284,0.0017572416],"category_scores_gemma":[0.00040152832,0.00022687975,0.00050948735,0.00026304915,0.00042461976,0.0010715149,0.00035346925,0.00072928786,0.00048537672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026539832,0.00005124906,0.0004593062,0.00021144524,0.000020858268,0.00028687099,0.00014787096,0.67881685,0.028650612,0.2397504,0.0012402498,0.050337847],"study_design_scores_gemma":[0.000004798612,0.000039806386,0.000107799155,0.0000142011895,0.000006386155,0.00009206272,0.00001565564,0.9734471,0.0020863917,0.014638527,0.009540258,0.0000069942143],"about_ca_topic_score_codex":0.0006297685,"about_ca_topic_score_gemma":0.0007960014,"teacher_disagreement_score":0.0017572416,"about_ca_system_score_codex":0.00028281737,"about_ca_system_score_gemma":0.00030593463,"threshold_uncertainty_score":0.005878508},"labels":[],"label_agreement":null},{"id":"W1949602074","doi":"10.3390/en80910389","title":"Real-Time Control of Active and Reactive Power for Doubly Fed Induction Generator (DFIG)-Based Wind Energy Conversion System","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Saint Mary's University","funders":"","keywords":"AC power; Wind power; Control theory (sociology); Induction generator; Stator; Turbine; Engineering; Power control; Variable speed wind turbine; Voltage; Computer science; Power (physics); Permanent magnet synchronous generator; Electrical engineering; Physics; Control (management)","score_opus":0.008286150619551815,"score_gpt":0.18953229727820636,"score_spread":0.18124614665865454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1949602074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2818037,0.00030385444,0.701208,0.00015637507,0.0001400015,0.00014587218,0.00014780324,0.0028083646,0.013286002],"genre_scores_gemma":[0.989749,0.000050378116,0.009425211,0.0000109597895,0.0000059913564,0.000028170416,0.000029771403,0.000027214666,0.0006732503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987495,0.000033327204,0.0000070815877,0.000025693114,0.00004796326,0.000011093489],"domain_scores_gemma":[0.9998387,0.00005890148,0.00003285375,0.000019082927,0.000041981333,0.00000845203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023838619,0.00046460217,0.0002415778,0.00013000368,0.00022660584,0.000521689,0.00041663586,0.00021098503,0.0013669397],"category_scores_gemma":[0.00040257312,0.00012328743,0.00015723388,0.000082863786,0.00019347697,0.00026812038,0.0001323714,0.00034374572,0.00021970207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061795145,0.00034493644,0.0022466292,0.00039722014,0.00007120678,0.00037497567,0.0002941287,0.6756167,0.1802826,0.007911348,0.0022868535,0.12955551],"study_design_scores_gemma":[0.00005888696,0.0002638821,0.00057453575,0.000008479071,0.000021963,0.00004668353,0.000010077013,0.978647,0.018108582,0.00052164966,0.0017298913,0.000008479386],"about_ca_topic_score_codex":0.0008044546,"about_ca_topic_score_gemma":0.0011460416,"teacher_disagreement_score":0.0013669397,"about_ca_system_score_codex":0.00017817275,"about_ca_system_score_gemma":0.00018485489,"threshold_uncertainty_score":0.0045728683},"labels":[],"label_agreement":null},{"id":"W1965083124","doi":"10.3390/en4010026","title":"Spatial Variation and Distribution of Urban Energy Consumptions from Cities in China","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Theil index; Per capita; Geography; Energy consumption; Beijing; Mainland China; Index (typography); China; Distribution (mathematics); Economic geography; Population; Demography","score_opus":0.007885585612361828,"score_gpt":0.24242382531564713,"score_spread":0.2345382397032853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965083124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882966,0.000057359484,0.00015507752,0.000013895697,8.5539654e-7,0.0000032481144,0.00043720414,0.0000087205435,0.0004940503],"genre_scores_gemma":[0.99936193,0.00002490846,0.00006545011,0.0000016022337,0.0000010319533,0.0000040112213,0.00043896458,0.0000013909354,0.00010066054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995433,0.00007753627,0.00005463595,0.000112391725,0.00013702153,0.00007513175],"domain_scores_gemma":[0.9991167,0.0002060853,0.00025906463,0.000105941566,0.00021900602,0.00009313376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057491055,0.00020041512,0.00020489159,0.0025838444,0.00031436843,0.0005891358,0.00026870615,0.00012765347,0.00065450853],"category_scores_gemma":[0.0012551873,0.00013358575,0.00038497976,0.0046076407,0.00038759212,0.0003290953,0.00062092335,0.000103863626,0.000106787214],"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":[0.000045902554,0.000007898306,0.9908573,0.000025857222,0.00006800066,0.00007535269,0.00059501285,0.0012770351,0.0005907781,0.0003181893,0.00014561185,0.0059929998],"study_design_scores_gemma":[9.337039e-7,0.0000073705887,0.9980405,0.0000019133965,0.000008391043,0.00002900662,0.00036545462,0.0011992616,0.00008328758,0.000052092357,0.00020761369,0.000004251972],"about_ca_topic_score_codex":0.035924863,"about_ca_topic_score_gemma":0.041270867,"teacher_disagreement_score":0.035924863,"about_ca_system_score_codex":0.0010522096,"about_ca_system_score_gemma":0.0005805818,"threshold_uncertainty_score":0.07143152},"labels":[],"label_agreement":null},{"id":"W1965343162","doi":"10.3390/en4010001","title":"A Review of Recent Advances on the Effects of Microstructural Refinement and Nano-Catalytic Additives on the Hydrogen Storage Properties of Metal and Complex Hydrides","year":2010,"lang":"en","type":"review","venue":"Energies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Wojskowa Akademia Techniczna; University of Waterloo","keywords":"Hydrogen storage; Hydride; Catalysis; Hydrogen; Materials science; Ball mill; Metal; Chemical engineering; Desorption; Inorganic chemistry; Metal halides; Magnesium hydride; Dehydrogenation; Chemistry; Metallurgy; Physical chemistry; Adsorption; Organic chemistry","score_opus":0.03995431861055789,"score_gpt":0.2848519483325875,"score_spread":0.24489762972202958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965343162","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":[0.0014829957,0.9962542,0.0006881788,0.0001495717,0.00024639704,0.000006565658,0.000033352608,0.00002342774,0.0011153005],"genre_scores_gemma":[0.0037494106,0.99392104,0.00074904866,0.00021379649,0.00038522546,0.000011567652,0.00007801582,0.0000066334255,0.00088533317],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980825,0.000023636854,0.000035693138,0.000052113654,0.000056726043,0.000023639945],"domain_scores_gemma":[0.99964476,0.00014451772,0.00008030869,0.000015141363,0.00008346928,0.000031785803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045233613,0.0008909548,0.0011395382,0.0020081534,0.00030256785,0.0007996316,0.0007057828,0.0006081669,0.0019805839],"category_scores_gemma":[0.00044379215,0.00048148056,0.00059673213,0.0026176237,0.00032313075,0.0014781794,0.0005270038,0.0008661737,0.00095101394],"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":[0.0003236544,0.00030901708,0.0007694809,0.0769215,0.0002798095,0.0006913342,0.00029523546,0.0020907884,0.07438085,0.0052313274,0.023268532,0.81543845],"study_design_scores_gemma":[0.000019535019,0.000673328,0.002432014,0.002460295,0.0003294093,0.0015353339,0.00017488207,0.00053175294,0.022195071,0.001518786,0.96805173,0.000077864985],"about_ca_topic_score_codex":0.0006111024,"about_ca_topic_score_gemma":0.0008747656,"teacher_disagreement_score":0.0020081534,"about_ca_system_score_codex":0.0004124746,"about_ca_system_score_gemma":0.00055989076,"threshold_uncertainty_score":0.0066256523},"labels":[],"label_agreement":null},{"id":"W1974656945","doi":"10.3390/en5103788","title":"Study of Pea Accessions for Development of an Oilseed Pea","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":18,"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; McGill University","funders":"","keywords":"Sativum; Field pea; Canola; Pisum; Biology; Agronomy; Starch; Vegetable oil; Crop; Horticulture; Biotechnology; Food science","score_opus":0.06489290820693965,"score_gpt":0.2737485462489456,"score_spread":0.20885563804200596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974656945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967719,0.00016804112,0.0011663137,0.000027732882,0.000010309475,0.00008745221,0.0009020283,0.000020970583,0.00084515446],"genre_scores_gemma":[0.9852939,0.0003338474,0.005104135,0.00013190549,0.000008179609,0.00014885566,0.0061059548,0.000052277275,0.0028208122],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983335,0.00002115915,0.000028840457,0.00006295348,0.00003034755,0.000023306273],"domain_scores_gemma":[0.99959475,0.00010885653,0.0000498769,0.00005049223,0.00011730002,0.000078786434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002659312,0.00027647824,0.0003219837,0.0007973608,0.0004908312,0.00029095061,0.00028164577,0.00027626086,0.00102264],"category_scores_gemma":[0.00045122055,0.00014855235,0.000357173,0.00065386103,0.00015521263,0.00024471484,0.00033019867,0.00041893084,0.00041117475],"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":[0.00017090919,0.000074124495,0.007883118,0.00003993591,0.000023198483,0.00047384854,0.000227184,0.00003663282,0.9883377,0.000052532276,0.000043926902,0.0026368138],"study_design_scores_gemma":[0.00008815741,0.0021638072,0.70835406,0.000029864665,0.00019687893,0.003769098,0.0017588742,0.00079051877,0.27284747,0.00011642263,0.009823525,0.00006132081],"about_ca_topic_score_codex":0.0057586357,"about_ca_topic_score_gemma":0.013217341,"teacher_disagreement_score":0.0057586357,"about_ca_system_score_codex":0.00047484273,"about_ca_system_score_gemma":0.00039153793,"threshold_uncertainty_score":0.011450231},"labels":[],"label_agreement":null},{"id":"W1975340665","doi":"10.3390/en7010314","title":"The Oil and Gas Discourse from the Perspective of the Canadian and Albertan Governments, Non-Governmental Organizations and the Oil and Gas Industry","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Genome Alberta; Genome Canada","keywords":"Government (linguistics); Petroleum industry; Production (economics); Order (exchange); Fossil fuel; Perspective (graphical); Consumption (sociology); Business; Economics; Finance; Sociology; Computer science; Microeconomics; Engineering; Waste management; Social science","score_opus":0.0018324409379326563,"score_gpt":0.16779992613526357,"score_spread":0.1659674851973309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975340665","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":[0.37125155,0.008251145,0.0028910264,0.09222723,0.00083549577,0.00015511346,0.001671692,0.00008288101,0.52263385],"genre_scores_gemma":[0.933158,0.0036260646,0.0021503605,0.003226573,0.00008164086,0.000060311857,0.00029932955,0.00006723951,0.057330575],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9958217,0.0011176432,0.00007538593,0.0002616821,0.0018124296,0.00091114093],"domain_scores_gemma":[0.9941618,0.0028411937,0.00020150184,0.00013400508,0.0019055909,0.00075591693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004812191,0.00080384576,0.00044108662,0.0051258323,0.025383607,0.016735371,0.0017848068,0.0029270966,0.006973487],"category_scores_gemma":[0.007411421,0.0003347292,0.00039874908,0.009120805,0.014732801,0.0042666947,0.0036408682,0.0033460143,0.000425184],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011762915,0.00001832195,0.0043457886,0.0002680657,0.000012274925,0.0007559867,0.80527705,0.00028937074,0.0012664375,0.14680703,0.021818586,0.01902354],"study_design_scores_gemma":[0.000006812295,0.000008237887,0.008047863,0.00045080337,0.000024654917,0.00012264501,0.69130945,0.0002505549,0.0006399926,0.0076662055,0.29142803,0.0000447538],"about_ca_topic_score_codex":0.9834827,"about_ca_topic_score_gemma":0.99070954,"teacher_disagreement_score":0.13940376,"about_ca_system_score_codex":0.13940376,"about_ca_system_score_gemma":0.13265274,"threshold_uncertainty_score":0.99816966},"labels":[],"label_agreement":null},{"id":"W1977281769","doi":"10.3390/en3020155","title":"Recent Advances in Direct Coal Liquefaction","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National High-tech Research and Development Program; Natural Sciences and Engineering Research Council of Canada","keywords":"Coal; Coal liquefaction; Liquefaction; Petroleum; Environmental science; Waste management; Energy security; Petroleum engineering; Natural resource economics; Chemistry; Engineering; Renewable energy; Economics","score_opus":0.004592409445019359,"score_gpt":0.2097448689379377,"score_spread":0.20515245949291835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977281769","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":[0.017449481,0.9531639,0.0073568197,0.001694855,0.0007139204,0.000024249586,0.00012230709,0.00008382475,0.019390592],"genre_scores_gemma":[0.049765583,0.9360108,0.0058054323,0.00054787577,0.0011929345,0.000021287437,0.00023839333,0.000018399125,0.0063993484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971586,0.000027160022,0.000038464037,0.00007454451,0.00011055791,0.000033363805],"domain_scores_gemma":[0.9993974,0.00022371615,0.00009272684,0.000029188426,0.00019953195,0.00005746109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009201808,0.00056616106,0.0005075681,0.0012770729,0.00022334415,0.0009616439,0.0004642856,0.00058999326,0.0040835585],"category_scores_gemma":[0.00079588045,0.0003285899,0.00038703752,0.0018433592,0.00035090547,0.0014832619,0.0006633979,0.00080039963,0.0017973558],"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":[0.00027862363,0.00019936387,0.0014053024,0.008622304,0.000062158186,0.00032186304,0.00016365666,0.0016795185,0.05312833,0.0083261775,0.006777971,0.9190347],"study_design_scores_gemma":[0.000022409326,0.0007629972,0.004265589,0.00075467065,0.00020020816,0.0018751347,0.00021564789,0.002551201,0.07851252,0.0036680056,0.9071115,0.000060270788],"about_ca_topic_score_codex":0.0006872686,"about_ca_topic_score_gemma":0.00086865405,"teacher_disagreement_score":0.0040835585,"about_ca_system_score_codex":0.00047920516,"about_ca_system_score_gemma":0.00062379125,"threshold_uncertainty_score":0.013660789},"labels":[],"label_agreement":null},{"id":"W1980817633","doi":"10.3390/en5114288","title":"A Comparison of Wind Flow Models for Wind Resource Assessment in Wind Energy Applications","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Moncton; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Mesoscale meteorology; Downscaling; Microscale chemistry; Environmental science; Wind power; Meteorology; Wind speed; Wind resource assessment; Computer science; Wind direction; Geography; Engineering; Mathematics","score_opus":0.03107774998369643,"score_gpt":0.3044858777163668,"score_spread":0.27340812773267037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980817633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77246904,0.0017084847,0.20259891,0.0008943657,0.00026308539,0.0004239626,0.0023488505,0.00216414,0.017129196],"genre_scores_gemma":[0.9385332,0.0007043866,0.05734918,0.00010667884,0.000040359257,0.00022130038,0.0010727153,0.00024259934,0.0017294206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937505,0.00030261913,0.00005254155,0.000086775704,0.00013932386,0.00004381955],"domain_scores_gemma":[0.998319,0.0009542223,0.00009513078,0.00016571542,0.00040080652,0.00006520851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002124098,0.00092183665,0.00066730333,0.0008328981,0.00039961768,0.0010922421,0.00096145924,0.0008746581,0.001264697],"category_scores_gemma":[0.0036727884,0.0003861464,0.00078673573,0.0009129564,0.00020182421,0.001247467,0.0005876046,0.00074095384,0.00026559772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013732197,0.00011951238,0.00610606,0.00007075737,0.00008228383,0.00003513168,0.000042215634,0.96472156,0.0011130533,0.0017471072,0.00053912704,0.025285954],"study_design_scores_gemma":[0.000017581362,0.000049577866,0.0014258857,0.000012392374,0.000011292664,0.0000062676204,0.000024680647,0.997092,0.0004273011,0.00039067867,0.0005328679,0.000009349135],"about_ca_topic_score_codex":0.026594799,"about_ca_topic_score_gemma":0.020908782,"teacher_disagreement_score":0.026594799,"about_ca_system_score_codex":0.0008317553,"about_ca_system_score_gemma":0.001167643,"threshold_uncertainty_score":0.05287999},"labels":[],"label_agreement":null},{"id":"W1983628280","doi":"10.3390/en6126225","title":"Formation and Dissociation of Methane Hydrates from Seawater in Consolidated Sand: Mimicking Methane Hydrate Dynamics beneath the Seafloor","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":21,"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":"Methane; Dissociation (chemistry); Clathrate hydrate; Hydrate; Seawater; Pore water pressure; Chemistry; Artificial seawater; Geology; Mineralogy; Geotechnical engineering; Organic chemistry","score_opus":0.005966653794625432,"score_gpt":0.19672960679185544,"score_spread":0.19076295299723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983628280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954337,0.00003712038,0.00019561988,0.00000469762,0.0000015077401,0.0000038212547,0.000057333116,0.0000046434134,0.0001517861],"genre_scores_gemma":[0.99899715,0.000084934705,0.00052815746,0.0000046671557,9.2776105e-7,0.0000060941934,0.000109229535,0.0000030653148,0.00026581142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999343,0.000004023732,0.00000445531,0.000017687562,0.000019466768,0.000020156725],"domain_scores_gemma":[0.9999491,0.0000091117045,0.0000105673935,0.000004112752,0.000011785721,0.00001522188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083165476,0.00025081323,0.00021844068,0.00011500354,0.00018688301,0.000276175,0.00022929345,0.00016183658,0.0006065862],"category_scores_gemma":[0.00014602205,0.00014097501,0.00018233356,0.00013389591,0.00025673263,0.00024779997,0.00027706483,0.0002975125,0.00007726199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012522467,0.000015651525,0.003259048,0.000057668236,0.0000070777146,0.00009451012,0.00007207829,0.0008221274,0.9946464,0.000056538807,0.000013070032,0.00083055213],"study_design_scores_gemma":[0.00001736015,0.00041598908,0.027312752,0.000008242292,0.00002039384,0.0000870624,0.0003272245,0.01059277,0.960392,0.0000567563,0.0007521718,0.000017260505],"about_ca_topic_score_codex":0.0060904054,"about_ca_topic_score_gemma":0.010889854,"teacher_disagreement_score":0.0060904054,"about_ca_system_score_codex":0.00033168725,"about_ca_system_score_gemma":0.0002679964,"threshold_uncertainty_score":0.012109876},"labels":[],"label_agreement":null},{"id":"W1988395137","doi":"10.3390/en6115775","title":"Methane Gas Hydrate Stability Models on Continental Shelves in Response to Glacio-Eustatic Sea Level Variations: Examples from Canadian Oceanic Margins","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","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":"Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Geology; Interglacial; Continental shelf; Continental margin; Oceanography; Clathrate hydrate; Seabed; Glacial period; Paleontology; Geomorphology; Hydrate","score_opus":0.027869347074553453,"score_gpt":0.22095255117701063,"score_spread":0.19308320410245716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988395137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889791,0.0002098694,0.002346944,0.00021384141,0.00001050801,0.000020924916,0.0015292813,0.00012060523,0.0065690074],"genre_scores_gemma":[0.99638236,0.00011751408,0.0012693191,0.000026337924,0.0000024132496,0.000015215219,0.00066547625,0.00002299944,0.0014983616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999025,0.000015811971,0.0000041215753,0.000019209128,0.00001527745,0.000043042106],"domain_scores_gemma":[0.99972695,0.000084200045,0.000030476396,0.00001651423,0.000091564136,0.00005024938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026070964,0.00074169604,0.00040703418,0.00068646285,0.001252421,0.0009512664,0.0014254582,0.0008749765,0.0018119272],"category_scores_gemma":[0.0009504112,0.00040600332,0.0008053569,0.0007909535,0.0008036064,0.00030058052,0.0006908854,0.0005088312,0.0001151429],"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":[0.00003906125,0.000011230623,0.009826557,0.000012946898,0.000024802574,0.00006271315,0.00006008778,0.98708713,0.00050151936,0.0010803436,0.0003175205,0.0009760193],"study_design_scores_gemma":[0.000028220575,0.000017320508,0.007193578,0.000009064221,0.00002467659,0.000014948536,0.00013372341,0.99100554,0.00027288785,0.00043190285,0.00085179723,0.000016369757],"about_ca_topic_score_codex":0.94549006,"about_ca_topic_score_gemma":0.92161995,"teacher_disagreement_score":0.054509938,"about_ca_system_score_codex":0.008295653,"about_ca_system_score_gemma":0.0045439545,"threshold_uncertainty_score":0.10966188},"labels":[],"label_agreement":null},{"id":"W1992349408","doi":"10.3390/en8053503","title":"Sustainability Assessment of the Agricultural and Energy Systems of Senegal","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Northern British Columbia","funders":"","keywords":"Sustainability; Scope (computer science); Context (archaeology); Agriculture; Judgement; Environmental economics; Business; Suite; Environmental resource management; Environmental planning; Risk analysis (engineering); Computer science; Economics; Political science; Environmental science","score_opus":0.008691258511123425,"score_gpt":0.2525539811509048,"score_spread":0.2438627226397814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992349408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90767384,0.002085346,0.006418882,0.0017177237,0.00002214022,0.0002827035,0.0010636871,0.000057837708,0.080677755],"genre_scores_gemma":[0.99371296,0.0008275098,0.0031136589,0.000052283,0.000002452284,0.00006848074,0.00016211097,0.000007829368,0.0020526468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989015,0.0006338933,0.00004606316,0.00007220847,0.00015411968,0.00019223025],"domain_scores_gemma":[0.9995509,0.0001297598,0.000078233505,0.000043403863,0.00016261826,0.000034977613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015912531,0.0007434049,0.00024849366,0.0023075764,0.0016210551,0.0027140677,0.0005674841,0.00056118367,0.0025793996],"category_scores_gemma":[0.0017354079,0.0002854311,0.00040659655,0.0031193234,0.0017145617,0.0017658805,0.0024239444,0.0004168941,0.00019271382],"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":[0.0006983694,0.00017166487,0.2840202,0.0016039443,0.00086036505,0.012171077,0.010611383,0.2354705,0.032867078,0.17308338,0.0033896775,0.24505237],"study_design_scores_gemma":[0.00006548007,0.00069381355,0.5646249,0.0013896076,0.0004557119,0.0027959382,0.09704181,0.07222522,0.021500366,0.09578659,0.14304371,0.000376879],"about_ca_topic_score_codex":0.061282273,"about_ca_topic_score_gemma":0.117968924,"teacher_disagreement_score":0.061282273,"about_ca_system_score_codex":0.005504751,"about_ca_system_score_gemma":0.003981493,"threshold_uncertainty_score":0.121851146},"labels":[],"label_agreement":null},{"id":"W1997690159","doi":"10.3390/en8053762","title":"Co-Production of Olefins, Fuels, and Electricity from Conventional Pipeline Gas and Shale Gas with Near-Zero CO2 Emissions. Part II: Economic Performance","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Petrochemical; Shale gas; Production (economics); Naphtha; Electricity; Cracking; Pipeline (software); Waste management; Environmental science; Petroleum engineering; Process engineering; Oil shale; Engineering; Economics; Chemistry; Mechanical engineering; Microeconomics","score_opus":0.011507213752768511,"score_gpt":0.19538499655398514,"score_spread":0.18387778280121664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997690159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97184193,0.00029253328,0.021743834,0.00005479549,0.0000097185975,0.000054463362,0.00017094392,0.00004938708,0.005782405],"genre_scores_gemma":[0.9963152,0.00007038079,0.0027917374,0.0000030857702,7.1045986e-7,0.000010197166,0.000056962785,0.000004958875,0.00074677606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998803,0.000023960716,0.0000047599315,0.000022010416,0.000049924656,0.000018990275],"domain_scores_gemma":[0.9998752,0.00006168199,0.000019586863,0.000014421347,0.000021138716,0.00000800294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040456766,0.00035641808,0.00027958545,0.000354652,0.00027586502,0.0005421315,0.00026044156,0.0003818874,0.0014500031],"category_scores_gemma":[0.00045649952,0.0001352791,0.00033290597,0.00040851053,0.00021676054,0.000655334,0.00026312566,0.00028360123,0.00017352958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011776283,0.0004778561,0.0144901415,0.0007336419,0.00012255138,0.0005070727,0.00005198489,0.6450613,0.25857368,0.0059486525,0.0004878546,0.072367534],"study_design_scores_gemma":[0.000089787856,0.0014413168,0.014475294,0.000014891523,0.00008012368,0.00018539402,0.00008141371,0.66331446,0.31541893,0.002228198,0.002648593,0.000021532076],"about_ca_topic_score_codex":0.0020253593,"about_ca_topic_score_gemma":0.0055210427,"teacher_disagreement_score":0.0020253593,"about_ca_system_score_codex":0.0007915089,"about_ca_system_score_gemma":0.000492509,"threshold_uncertainty_score":0.0057427883},"labels":[],"label_agreement":null},{"id":"W1998374731","doi":"10.3390/en6020619","title":"Use of Isomerization and Hydroisomerization Reactions to Improve the Cold Flow Properties of Vegetable Oil Based Biodiesel","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiesel; Cloud point; Pour point; Isomerization; Catalysis; Chemistry; Diesel fuel; Organic chemistry; Chemical engineering; Materials science; Pulp and paper industry; Engineering","score_opus":0.016914897037854523,"score_gpt":0.17786663125915045,"score_spread":0.16095173422129594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998374731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98977983,0.0011029203,0.0061722333,0.000043821252,0.00001497151,0.00003856873,0.00011403902,0.000055307046,0.0026781852],"genre_scores_gemma":[0.99484044,0.0009444238,0.002683621,0.00002540519,0.0000062327363,0.000011695278,0.0001557422,0.000023514072,0.0013087839],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998908,0.000009440514,0.00000879176,0.000024519128,0.00002676184,0.000039624152],"domain_scores_gemma":[0.99992824,0.0000108046615,0.000025102745,0.000009042271,0.000015906515,0.000010929918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115903764,0.00042475623,0.00021051441,0.00024236104,0.00013308089,0.00018846021,0.00021342572,0.00016317956,0.0010075152],"category_scores_gemma":[0.00013929444,0.00012925043,0.00034835725,0.00026169384,0.00015584394,0.00033678132,0.00021716126,0.00048164465,0.00031160176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063648,0.000028873315,0.00039916107,0.000046782334,0.000008477275,0.00005694172,0.000019558027,0.00012663483,0.9946833,0.00007614929,0.0000136161225,0.0044768476],"study_design_scores_gemma":[0.00000273888,0.00010196803,0.0008196531,0.0000014069723,0.000007072802,0.000045791847,0.000008923567,0.00015038917,0.99838495,0.000012033445,0.00046276563,0.0000024067094],"about_ca_topic_score_codex":0.00066324935,"about_ca_topic_score_gemma":0.0018119342,"teacher_disagreement_score":0.0010075152,"about_ca_system_score_codex":0.00016158663,"about_ca_system_score_gemma":0.00020599877,"threshold_uncertainty_score":0.0033705235},"labels":[],"label_agreement":null},{"id":"W1999582577","doi":"10.3390/en7042027","title":"Stochastic Modeling and Optimization in a Microgrid: A Survey","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microgrid; Renewable energy; Smart grid; Energy storage; Grid; Computer science; Distributed generation; Electricity generation; Distributed computing; Engineering; Power (physics); Electrical engineering","score_opus":0.006222256760098937,"score_gpt":0.176344963375348,"score_spread":0.17012270661524906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999582577","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012033068,0.27307132,0.68356997,0.004407822,0.0007264966,0.00005180268,0.00051454164,0.00027681966,0.025348194],"genre_scores_gemma":[0.28327242,0.5953125,0.10603027,0.00085699145,0.003764369,0.00021559294,0.0009904115,0.00023906832,0.009318351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950695,0.00019287967,0.0000464477,0.000075214615,0.00014475227,0.000033669538],"domain_scores_gemma":[0.99910575,0.000596443,0.00007330737,0.0000626602,0.00012943055,0.0000324209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011801567,0.0013209557,0.0017719133,0.0009759612,0.00034338428,0.0016510456,0.0010229874,0.0010355203,0.0016404118],"category_scores_gemma":[0.0017979513,0.000614996,0.0014241352,0.002773581,0.00072919304,0.0015375321,0.0008590926,0.0013726687,0.0005512825],"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":[0.000044665914,0.00012539713,0.0025108708,0.0015926638,0.0002043351,0.0002078096,0.00015418653,0.6764637,0.0005938599,0.1964586,0.010938486,0.11070545],"study_design_scores_gemma":[0.000012455531,0.000074248695,0.0013017675,0.00038797496,0.000057857706,0.00016783392,0.000109248474,0.756717,0.0003410953,0.17868869,0.06209777,0.000044057906],"about_ca_topic_score_codex":0.0052688583,"about_ca_topic_score_gemma":0.0026115594,"teacher_disagreement_score":0.0052688583,"about_ca_system_score_codex":0.00090797094,"about_ca_system_score_gemma":0.0011929441,"threshold_uncertainty_score":0.01047641},"labels":[],"label_agreement":null},{"id":"W2003731584","doi":"10.3390/en5103856","title":"Ash Management Review—Applications of Biomass Bottom Ash","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":268,"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 Northern British Columbia","funders":"University of Northern British Columbia","keywords":"Bottom ash; Bioenergy; Environmental science; Combustion; Fly ash; Waste management; Biomass (ecology); Wood ash; Leaching (pedology); Coal; Biofuel; Soil water; Chemistry; Engineering; Agronomy; Soil science","score_opus":0.006517090703420398,"score_gpt":0.21495632513294838,"score_spread":0.20843923442952797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003731584","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":[0.00043073992,0.99582565,0.00027543123,0.0002250866,0.00037229044,0.000011391935,0.00005600573,0.000012469163,0.0027910285],"genre_scores_gemma":[0.0026007227,0.9946466,0.00042771111,0.00022036975,0.00025586042,0.000008864704,0.00013538972,0.0000052154373,0.0016991381],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996902,0.000041678006,0.000058982776,0.000057847574,0.00012170316,0.000029598332],"domain_scores_gemma":[0.9995851,0.00014868795,0.000068731395,0.000012861666,0.000156526,0.000028020191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050039095,0.0007167749,0.0008975142,0.002680236,0.00031931713,0.0014429181,0.0008037519,0.0011020111,0.0062704403],"category_scores_gemma":[0.0007168722,0.00029069607,0.0007596988,0.002663522,0.0002698674,0.0012675879,0.00055213226,0.0009407691,0.002520526],"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":[0.00008165033,0.00014128916,0.0003133748,0.05387634,0.00014052389,0.00027683793,0.00010632082,0.0011235394,0.0049317493,0.004200186,0.032683223,0.902125],"study_design_scores_gemma":[0.000004873277,0.00011752295,0.0007889813,0.0061827977,0.00011315477,0.0006249087,0.00008179433,0.00012359164,0.0012228253,0.00078732544,0.9899372,0.000015095492],"about_ca_topic_score_codex":0.002277024,"about_ca_topic_score_gemma":0.0028970386,"teacher_disagreement_score":0.0062704403,"about_ca_system_score_codex":0.0005248157,"about_ca_system_score_gemma":0.0013119496,"threshold_uncertainty_score":0.020976722},"labels":[],"label_agreement":null},{"id":"W2013223492","doi":"10.3390/en5114726","title":"Concept Development of Optimal Mine Site Energy Supply","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Work (physics); Production (economics); Energy supply; Environmental economics; Energy (signal processing); Variety (cybernetics); Supply and demand; Risk analysis (engineering); Business; Engineering; Computer science; Economics","score_opus":0.009470095859103408,"score_gpt":0.1924839361730735,"score_spread":0.18301384031397008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013223492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034651358,0.0002946403,0.98389935,0.0002589669,0.000053309617,0.000096606855,0.00003847783,0.00007092933,0.011822553],"genre_scores_gemma":[0.27658945,0.0021881603,0.707497,0.00022593308,0.00013609816,0.0007173131,0.00022121542,0.00018589519,0.012238996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990243,0.000262408,0.000049088198,0.0001592809,0.0004417841,0.00006315264],"domain_scores_gemma":[0.99948055,0.00018859249,0.000055907825,0.000051821014,0.00019035391,0.00003275328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001980661,0.000729487,0.00072639826,0.0007266596,0.00053078495,0.0017213968,0.0017858018,0.0010613868,0.0052780183],"category_scores_gemma":[0.002145739,0.00072617194,0.00085364777,0.0007979768,0.0013233968,0.0029337562,0.0022162695,0.0014066135,0.0008028085],"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":[0.000053306754,0.000064451735,0.0003984796,0.00042340963,0.000025752326,0.00016491339,0.00023580954,0.30767083,0.0058035506,0.60512644,0.002825699,0.07720747],"study_design_scores_gemma":[0.00003964777,0.00021179274,0.00021500717,0.00014762141,0.000019595143,0.00018537993,0.0002493872,0.7262811,0.0054610735,0.21783946,0.049312048,0.000037829028],"about_ca_topic_score_codex":0.0008785358,"about_ca_topic_score_gemma":0.00092530594,"teacher_disagreement_score":0.0052780183,"about_ca_system_score_codex":0.0012422996,"about_ca_system_score_gemma":0.0023951945,"threshold_uncertainty_score":0.017656744},"labels":[],"label_agreement":null},{"id":"W2014117944","doi":"10.3390/en20200445","title":"Biological Hydrogen Production from Corn-Syrup Waste Using a Novel System","year":2009,"lang":"en","type":"article","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Biohydrogen; Chemistry; Hydrogen production; Pulp and paper industry; Food waste; Wastewater; Hydrogen; Biofuel; Food science; Animal science; Waste management; Environmental science; Biotechnology; Environmental engineering; Biology; Organic chemistry","score_opus":0.02535310553245657,"score_gpt":0.2082051876552034,"score_spread":0.18285208212274684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014117944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642789,0.00212103,0.03032726,0.000213418,0.00012594111,0.00013371096,0.0003229647,0.00047724787,0.0019996057],"genre_scores_gemma":[0.9676569,0.0016677862,0.026819387,0.00008028348,0.000048441027,0.00012448798,0.0007619761,0.000031913583,0.0028087397],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979216,0.000029889105,0.00002590582,0.00005416111,0.000065158034,0.000032716558],"domain_scores_gemma":[0.99993944,0.000007326376,0.00001341022,0.0000074797376,0.000013169568,0.000019243374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027117349,0.0005743024,0.0005439241,0.00033651124,0.00032447453,0.0006840865,0.000597993,0.0006375396,0.00054423505],"category_scores_gemma":[0.00012492384,0.00023257815,0.00038331168,0.0004014745,0.00017675558,0.0005828981,0.00054730923,0.00061095355,0.00047394488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046426554,0.00006998857,0.00009942621,0.00009000889,0.000008919936,0.000050152896,0.000010618273,0.00012799299,0.99621564,0.000084776286,0.000040605217,0.0031553637],"study_design_scores_gemma":[0.0000166563,0.0003104232,0.0006026992,0.0000048725146,0.000019516097,0.00017089755,0.000013481109,0.0015639724,0.99472094,0.000019688981,0.002544851,0.000012006972],"about_ca_topic_score_codex":0.0006675695,"about_ca_topic_score_gemma":0.0010494981,"teacher_disagreement_score":0.0006840865,"about_ca_system_score_codex":0.00039710558,"about_ca_system_score_gemma":0.00037195376,"threshold_uncertainty_score":0.0028811693},"labels":[],"label_agreement":null},{"id":"W2015875811","doi":"10.3390/en5072197","title":"The Characteristics of the Exergy Reference Environment and Its Implications for Sustainability-Based Decision-Making","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exergy; Sustainability; Computer science; Process (computing); Risk analysis (engineering); Scarcity; Environmental economics; Reference model; Relevance (law); Management science; Process management; Engineering; Process engineering; Business; Economics; Ecology","score_opus":0.013731248721167337,"score_gpt":0.25407317271414226,"score_spread":0.2403419239929749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015875811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09876869,0.0065326504,0.78468525,0.012007989,0.00028012542,0.00019837345,0.00014080487,0.00009949667,0.0972867],"genre_scores_gemma":[0.91252315,0.0018477464,0.08307873,0.0003340727,0.00008906646,0.00018694672,0.000041901403,0.00004514732,0.0018532065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99451536,0.0030624256,0.00028160587,0.0005774971,0.0012363971,0.00032664952],"domain_scores_gemma":[0.98528165,0.01046585,0.0013786717,0.0012957278,0.00126272,0.00031533756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010477092,0.00065711583,0.0009854077,0.001928284,0.0014585332,0.0062087397,0.0017161376,0.001689623,0.0014896784],"category_scores_gemma":[0.020689212,0.0004931636,0.0007776157,0.0019420758,0.018692313,0.011428618,0.003923839,0.0027765501,0.00017316957],"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":[0.000011649959,0.000012274687,0.000782624,0.000067051944,0.000015800213,0.00007558822,0.00049891917,0.0088450145,0.00020549264,0.9832107,0.00015543724,0.0061194017],"study_design_scores_gemma":[0.0000039213987,0.000023922536,0.0007741923,0.000089204164,0.000011503823,0.000090025635,0.00079608854,0.010349637,0.00045901295,0.9799929,0.0073857075,0.000023773864],"about_ca_topic_score_codex":0.0019488501,"about_ca_topic_score_gemma":0.002344351,"teacher_disagreement_score":0.010477092,"about_ca_system_score_codex":0.002972694,"about_ca_system_score_gemma":0.0026731458,"threshold_uncertainty_score":0.055408835},"labels":[],"label_agreement":null},{"id":"W2015931261","doi":"10.3390/en5020459","title":"Thermodynamic Stability of Structure H Hydrates Based on the Molecular Properties of Large Guest Molecules","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Clathrate hydrate; Molecule; Methane; Chemistry; Hydrate; Chemical stability; Molar mass; Thermodynamics; Phase (matter); Stability (learning theory); Gas phase; Molecular dynamics; Chemical physics; Computational chemistry; Physical chemistry; Organic chemistry; Polymer; Physics","score_opus":0.008745929701344165,"score_gpt":0.1940898889403828,"score_spread":0.18534395923903862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015931261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971636,0.0003625796,0.0018981252,0.000017667002,0.0000046920345,0.0000049381224,0.000083874416,0.000019030815,0.00044549233],"genre_scores_gemma":[0.9994259,0.00006361891,0.00033178233,0.0000019404845,0.0000024554458,0.0000027712517,0.00007787218,0.000004793964,0.00008891942],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988914,0.00001807593,0.0000058038113,0.000022761535,0.000041409734,0.0000227705],"domain_scores_gemma":[0.99968743,0.0001538848,0.000067811445,0.000018190383,0.00004452509,0.000028134404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002716732,0.00017286092,0.00020318214,0.00037936485,0.00023722395,0.0003034356,0.00015905395,0.00016551699,0.00086628227],"category_scores_gemma":[0.0008684343,0.000113068214,0.00018030767,0.00017166989,0.0004580371,0.0004029436,0.00021818069,0.00023440542,0.00010264968],"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":[0.00033333257,0.000019692257,0.010330924,0.000060762835,0.00004702047,0.00007025299,0.00006880828,0.003436376,0.9816297,0.0011566053,0.000032198444,0.0028142028],"study_design_scores_gemma":[0.000005796393,0.00019257028,0.016235137,0.0000032750213,0.000020297182,0.00013899553,0.000048279075,0.012863682,0.9696646,0.00035615414,0.0004567953,0.000014413351],"about_ca_topic_score_codex":0.00043467546,"about_ca_topic_score_gemma":0.00048622157,"teacher_disagreement_score":0.00086628227,"about_ca_system_score_codex":0.00025559985,"about_ca_system_score_gemma":0.00012338799,"threshold_uncertainty_score":0.0028980374},"labels":[],"label_agreement":null},{"id":"W2019059300","doi":"10.3390/en6031764","title":"Efficiency of Edible Agriculture in Canada and the U.S. Over the Past Three and Four Decades","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":43,"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":"Agriculture; Hectare; Livestock; Agricultural economics; Agricultural science; Crop; Efficient energy use; Fertilizer; Production (economics); Energy consumption; Consumption (sociology); Environmental science; Agronomy; Geography; Economics; Biology; Forestry; Ecology","score_opus":0.002673932604940066,"score_gpt":0.1563570959076642,"score_spread":0.15368316330272414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019059300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82651067,0.03556323,0.001752464,0.008983348,0.00020666496,0.00007531214,0.040183757,0.00017912299,0.08654527],"genre_scores_gemma":[0.96076715,0.01762959,0.0017081229,0.00071253895,0.000030228934,0.000015712594,0.0077849487,0.00002950616,0.011322221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991786,0.000033917353,0.000046361645,0.00011495363,0.00041157016,0.00021468589],"domain_scores_gemma":[0.99746585,0.000083091545,0.00033015697,0.000053192685,0.0018440442,0.00022367232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066900416,0.00033615262,0.0002470842,0.0031620297,0.0016611646,0.0021828588,0.00072856824,0.00027644058,0.0017704624],"category_scores_gemma":[0.0024301799,0.00015386564,0.00048450168,0.010112119,0.0007942867,0.0007406383,0.000692354,0.0005299298,0.00016284878],"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":[0.00016489413,0.00005683175,0.7970195,0.0005275253,0.00034719968,0.00031631437,0.0031295628,0.0032550779,0.0009488667,0.016348556,0.016800648,0.16108496],"study_design_scores_gemma":[0.0000046914824,0.000013520203,0.9343018,0.00019048339,0.00006555203,0.00010129877,0.0015468014,0.00094620517,0.0005770234,0.00036365437,0.061856512,0.00003259853],"about_ca_topic_score_codex":0.99609417,"about_ca_topic_score_gemma":0.9976451,"teacher_disagreement_score":0.051276628,"about_ca_system_score_codex":0.051276628,"about_ca_system_score_gemma":0.0443578,"threshold_uncertainty_score":0.37203968},"labels":[],"label_agreement":null},{"id":"W2019833823","doi":"10.3390/en7042148","title":"Sensitivity Analysis of Parameters Governing the Recovery of Methane from Natural Gas Hydrate Reservoirs","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Shell (Canada)","funders":"","keywords":"Methane; Natural gas; Hydrate; Cabin pressurization; Clathrate hydrate; Petroleum engineering; Permeability (electromagnetism); Porosity; Chemistry; Environmental science; Thermodynamics; Geology; Materials science","score_opus":0.008281013208946402,"score_gpt":0.20570507507749466,"score_spread":0.19742406186854827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019833823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845478,0.00037793038,0.01024592,0.00035281247,0.000025688676,0.00006792643,0.00088217383,0.00016788272,0.0033319746],"genre_scores_gemma":[0.99870396,0.000076614546,0.00065602583,0.000017218268,0.0000022968727,0.000021265456,0.00018482101,0.000013672283,0.0003241245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996137,0.00013120889,0.000020376745,0.000057354653,0.000064694206,0.00011263088],"domain_scores_gemma":[0.99175805,0.007321176,0.00029269725,0.00020422008,0.0003219197,0.00010186091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018549786,0.00081712333,0.00089333754,0.00094884273,0.0004993939,0.00082825794,0.0006882472,0.001377328,0.0013509182],"category_scores_gemma":[0.006788749,0.0004879915,0.0012054358,0.0005594555,0.00080090057,0.0007967782,0.00081182376,0.0010316239,0.00009962271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007912952,0.00002824584,0.002414203,0.000038783586,0.00003901005,0.00008972657,0.000016181488,0.99373144,0.002572603,0.0003527205,0.00010323891,0.00053472345],"study_design_scores_gemma":[0.000013219089,0.000107616535,0.0028579293,0.000009040947,0.000029393465,0.000023315652,0.000050051684,0.99285406,0.0033553573,0.0005275142,0.00014831705,0.000024196443],"about_ca_topic_score_codex":0.017978573,"about_ca_topic_score_gemma":0.0058382223,"teacher_disagreement_score":0.017978573,"about_ca_system_score_codex":0.0011108869,"about_ca_system_score_gemma":0.0006154839,"threshold_uncertainty_score":0.035747886},"labels":[],"label_agreement":null},{"id":"W2021168283","doi":"10.3390/en4091258","title":"Tools for Small Hydropower Plant Resource Planning and Development: A Review of Technology and Applications","year":2011,"lang":"en","type":"review","venue":"Energies","topic":"Water resources management and optimization","field":"Engineering","cited_by":81,"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":"Hydropower; Small hydro; Geographic information system; Resource (disambiguation); Identification (biology); Software; Spatial analysis; Scale (ratio); Computer science; Environmental resource management; Environmental science; Engineering; Remote sensing; Geography; Cartography","score_opus":0.04684006184522337,"score_gpt":0.24935767702674455,"score_spread":0.20251761518152117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021168283","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":[0.0006418143,0.968123,0.021429874,0.00040126024,0.00023850061,0.00006528121,0.00013476981,0.00023504945,0.00873032],"genre_scores_gemma":[0.0033939264,0.9682368,0.025177078,0.0001813004,0.00018799225,0.000085560416,0.00026903235,0.00006874526,0.002399663],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987509,0.0001968675,0.0001736432,0.00019023565,0.0006392349,0.00004916222],"domain_scores_gemma":[0.996534,0.0023054609,0.0002354917,0.00016793887,0.000681145,0.0000759469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019543597,0.0016140253,0.0017820107,0.0060014958,0.0004096565,0.0019062028,0.0019985095,0.0015497287,0.005408026],"category_scores_gemma":[0.0035820466,0.0008651649,0.000948309,0.009154741,0.0009648476,0.0030461561,0.0010090868,0.0013575061,0.0041081985],"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":[0.000014403045,0.000064091626,0.00023656226,0.009811823,0.000040966253,0.00008463363,0.000101845806,0.002249476,0.0009985274,0.00757611,0.01095506,0.9678666],"study_design_scores_gemma":[0.000012952166,0.00007082634,0.0008671434,0.0066522122,0.00007514567,0.0006703801,0.0001632853,0.001453965,0.0016399428,0.009859214,0.9784799,0.000055047934],"about_ca_topic_score_codex":0.0028437236,"about_ca_topic_score_gemma":0.0024066416,"teacher_disagreement_score":0.0060014958,"about_ca_system_score_codex":0.00087270053,"about_ca_system_score_gemma":0.0020798272,"threshold_uncertainty_score":0.018091619},"labels":[],"label_agreement":null},{"id":"W2028882421","doi":"10.3390/en5103972","title":"Residential Solar-Based Seasonal Thermal Storage Systems in Cold Climates: Building Envelope and Thermal Storage","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Halsall (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRNSYS; Thermal energy storage; Environmental science; Solar energy; Passive solar building design; Building envelope; Cold storage; Solar air conditioning; Energy storage; Nuclear engineering; Photovoltaic thermal hybrid solar collector; Thermal mass; Thermal; Engineering; Meteorology; Electrical engineering; Thermodynamics","score_opus":0.008503027698099588,"score_gpt":0.2011018343470666,"score_spread":0.192598806648967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028882421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945281,0.0006741982,0.043812364,0.00012921148,0.000014111175,0.000036155936,0.00024008968,0.0003194951,0.009493404],"genre_scores_gemma":[0.9941772,0.00016463806,0.003070173,0.000005630989,0.0000029195917,0.000009227202,0.00007646559,0.000010067487,0.0024836478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999486,0.000011564805,0.0000021954797,0.0000068440113,0.000016313406,0.000014462749],"domain_scores_gemma":[0.9999622,0.000008368795,0.0000050313456,0.0000059565396,0.000012650417,0.000005781034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001372948,0.00019854205,0.00028587502,0.00015748342,0.0003710742,0.00043887272,0.0004646079,0.00021274877,0.0027276548],"category_scores_gemma":[0.00014097407,0.0001239109,0.000221496,0.0004662737,0.0001975763,0.0003852375,0.00018363375,0.00012903221,0.0002825077],"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":[0.0008923413,0.00024549896,0.01186761,0.0002596663,0.00009335078,0.00037116726,0.00013994568,0.7780376,0.09263323,0.0058534876,0.001982071,0.107623935],"study_design_scores_gemma":[0.000102617676,0.00049283315,0.02631181,0.00002242209,0.00011735949,0.0003077152,0.00020144327,0.8895282,0.07177339,0.0031080358,0.007991583,0.00004249267],"about_ca_topic_score_codex":0.014450243,"about_ca_topic_score_gemma":0.03975043,"teacher_disagreement_score":0.014450243,"about_ca_system_score_codex":0.00065699307,"about_ca_system_score_gemma":0.00053809973,"threshold_uncertainty_score":0.0287323},"labels":[],"label_agreement":null},{"id":"W2031697997","doi":"10.3390/en7117223","title":"Naturally-Forced Slug Flow Expander for Application in a Waste-Heat Recovery Cycle","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Slug flow; Thrust; Mechanics; Multiphase flow; Flow (mathematics); Kinetic energy; Volumetric flow rate; Thermodynamics; Heat transfer; Materials science; Chemistry; Two-phase flow; Physics; Classical mechanics","score_opus":0.0035537281079914525,"score_gpt":0.22792643294770967,"score_spread":0.22437270483971822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031697997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960048,0.0007950773,0.03739896,0.00008849015,0.000025046971,0.000058719015,0.00011752325,0.00048191738,0.0009861566],"genre_scores_gemma":[0.97919023,0.00024408638,0.019312091,0.000024597648,0.000010093738,0.000033945078,0.00006300782,0.00003565599,0.0010864476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998869,0.000017886234,0.000007474381,0.000018296534,0.000054929325,0.000014490683],"domain_scores_gemma":[0.9998841,0.000043504508,0.000025363468,0.000012846987,0.000024767705,0.000009295165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003130823,0.00019263335,0.00033737067,0.0003132226,0.00020127554,0.00019883474,0.00034053548,0.000273947,0.0007685159],"category_scores_gemma":[0.0003455881,0.00010652665,0.0002739501,0.0002585733,0.00020998277,0.0004317364,0.00020125596,0.00023944292,0.00022870416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036086657,0.00006848328,0.0014887159,0.00016862836,0.000008342533,0.00018653325,0.000077399716,0.003686818,0.9544849,0.0003115478,0.00015124575,0.039006505],"study_design_scores_gemma":[0.00002735382,0.0007219312,0.0042869756,0.000011633348,0.000018437595,0.00023032833,0.000038178707,0.021875957,0.9694223,0.00013443161,0.0032135688,0.000018827403],"about_ca_topic_score_codex":0.00036249743,"about_ca_topic_score_gemma":0.00084238383,"teacher_disagreement_score":0.0007685159,"about_ca_system_score_codex":0.00019259259,"about_ca_system_score_gemma":0.00018111044,"threshold_uncertainty_score":0.0025709271},"labels":[],"label_agreement":null},{"id":"W2034067685","doi":"10.3390/en8031990","title":"Impact of Organic Loading Rate on Psychrophilic Anaerobic Digestion of Solid Dairy Manure","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Anaerobic digestion; Chemistry; Total dissolved solids; Effluent; Chemical oxygen demand; Manure; Bioreactor; Volatile suspended solids; Anaerobic exercise; Volume (thermodynamics); Food science; Hydrolysis; Digestion (alchemy); Biogas; Dilution; Pulp and paper industry; Animal science; Chromatography; Methane; Waste management; Biology; Biochemistry; Agronomy; Environmental engineering; Sewage treatment; Environmental science","score_opus":0.017916553302183016,"score_gpt":0.25932670073087494,"score_spread":0.24141014742869193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034067685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940705,0.00019125498,0.00016703238,0.00000875967,0.0000056809554,0.000005666125,0.000035509835,0.000005879444,0.00017313946],"genre_scores_gemma":[0.99884355,0.00025869263,0.0005882381,0.000015613025,0.0000037793752,0.000008743108,0.00007908044,0.0000054434836,0.00019687694],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963534,0.000087789966,0.000044160242,0.00006831804,0.00010536966,0.000059006208],"domain_scores_gemma":[0.9996561,0.000107021006,0.000110284986,0.000020576603,0.00005686966,0.000049274542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032921953,0.00038002635,0.00032022654,0.00021133697,0.00015434704,0.0006878662,0.00018812325,0.0002688663,0.00047046435],"category_scores_gemma":[0.0005758269,0.00016556102,0.0002589298,0.00018636377,0.00017031566,0.00027314763,0.00031891005,0.00029702563,0.0001481153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080908474,0.00016052055,0.0028145085,0.0000952814,0.00002270053,0.00009476594,0.000035553432,0.00047675174,0.99120283,0.000012514444,0.00001880695,0.0042567737],"study_design_scores_gemma":[0.000021843533,0.0020809362,0.03258827,0.000021774398,0.0000696778,0.00011166937,0.00013473135,0.0016854595,0.9626852,0.000014497795,0.0005659455,0.000019977577],"about_ca_topic_score_codex":0.0009876894,"about_ca_topic_score_gemma":0.0011872239,"teacher_disagreement_score":0.0009876894,"about_ca_system_score_codex":0.00028776185,"about_ca_system_score_gemma":0.0002382258,"threshold_uncertainty_score":0.0020878315},"labels":[],"label_agreement":null},{"id":"W2041229637","doi":"10.3390/en7117602","title":"Exergy Destruction in Pipeline Flow of Surfactant-Stabilized Oil-in-Water Emulsions","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Laminar flow; Exergy; Emulsion; Turbulence; Pulmonary surfactant; Volumetric flow rate; Thermodynamics; Materials science; Reynolds number; Chemical engineering; Chemistry; Mechanics; Petroleum engineering; Geology; Physics; Engineering","score_opus":0.0036736613942787016,"score_gpt":0.17566429238390613,"score_spread":0.1719906309896274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041229637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492514,0.00008982605,0.0047308397,0.000010377257,0.0000020404118,0.0000067277983,0.00003644749,0.000021231592,0.00017726443],"genre_scores_gemma":[0.99875844,0.00010639678,0.00077953056,0.0000015812109,6.648102e-7,0.0000061421338,0.000053633605,0.0000048370057,0.00028869286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999293,0.0000089079285,0.000004466749,0.000014219985,0.000027398866,0.000015706082],"domain_scores_gemma":[0.99987686,0.000052897834,0.00003728421,0.0000060646134,0.000016765338,0.000010040959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023359554,0.00034603465,0.000347552,0.00034987545,0.00014069313,0.0002314228,0.0002868147,0.00023464693,0.0004837098],"category_scores_gemma":[0.00041851212,0.00017741023,0.00032062887,0.00025046433,0.00030707105,0.000474325,0.00023066129,0.00028926483,0.00008150922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048020534,0.00007050599,0.0061626695,0.000089867484,0.000012843033,0.00016937767,0.000062693056,0.0699705,0.9166979,0.00042842622,0.00003704405,0.0058179568],"study_design_scores_gemma":[0.00003667985,0.00058712665,0.011188109,0.0000064264686,0.000017484404,0.00006324782,0.000043212498,0.27727768,0.7102395,0.00027198903,0.0002557458,0.000012708546],"about_ca_topic_score_codex":0.002018208,"about_ca_topic_score_gemma":0.0010553533,"teacher_disagreement_score":0.002018208,"about_ca_system_score_codex":0.0005401153,"about_ca_system_score_gemma":0.00031195456,"threshold_uncertainty_score":0.0040129423},"labels":[],"label_agreement":null},{"id":"W2042174703","doi":"10.3390/en5125019","title":"Impact of PHEVs Penetration on Ontario’s Electricity Grid and Environmental Considerations","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"","keywords":"Electricity; Environmental science; Automotive engineering; Environmental economics; Greenhouse gas; Grid; National Grid; Market penetration; Engineering; Economics; Electrical engineering","score_opus":0.012569062909775525,"score_gpt":0.23290027270877434,"score_spread":0.2203312097989988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042174703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814668,0.00024152677,0.0006773702,0.000461466,0.000009221718,0.000022182572,0.0012412173,0.000037792855,0.015842373],"genre_scores_gemma":[0.996838,0.0002155302,0.00024333684,0.000027603894,0.000002475793,0.00000435525,0.00040811882,0.0000046800287,0.0022559678],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993488,0.00010832939,0.000017923485,0.00005594398,0.00029159093,0.00017733814],"domain_scores_gemma":[0.9984036,0.00053497945,0.0001805437,0.000050905703,0.0007336565,0.00009637844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004536793,0.00022466942,0.00017556486,0.00034492914,0.00076676207,0.000978765,0.00042604885,0.00024143758,0.001618025],"category_scores_gemma":[0.0024921645,0.00015251043,0.0003368852,0.0013017074,0.0003576018,0.0006188541,0.00034186002,0.00028408426,0.00012279794],"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":[0.0006547174,0.000115564486,0.71033376,0.00018290023,0.00016806294,0.0019549085,0.0015052326,0.21375619,0.0083275065,0.0037484127,0.0047771344,0.054475617],"study_design_scores_gemma":[0.0000280646,0.0001821894,0.8766557,0.000042678108,0.000097131546,0.00023049046,0.0048365844,0.102918245,0.0038670339,0.00052494946,0.010567166,0.000049674323],"about_ca_topic_score_codex":0.9601402,"about_ca_topic_score_gemma":0.97630876,"teacher_disagreement_score":0.03985977,"about_ca_system_score_codex":0.01229339,"about_ca_system_score_gemma":0.0067066518,"threshold_uncertainty_score":0.08919513},"labels":[],"label_agreement":null},{"id":"W2044240731","doi":"10.3390/en5093550","title":"Energy Efficiency in the Brazilian Pulp and Paper Industry","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficiency and Management","field":"Energy","cited_by":53,"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":"Lappeenranta University of Technology; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Efficient energy use; Greenhouse gas; Electricity; Energy consumption; Agricultural economics; Energy conservation; Consumption (sociology); Energy security; Natural resource economics; Business; Economics; Renewable energy; Engineering","score_opus":0.01049380268665304,"score_gpt":0.23066696349088475,"score_spread":0.22017316080423172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044240731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693989,0.0034001702,0.0022125286,0.00015409892,0.000008805746,0.000025700523,0.0004966673,0.000016306827,0.024286868],"genre_scores_gemma":[0.99521905,0.0015854925,0.0011278765,0.000012623235,0.000002598689,0.000008755842,0.0003116827,0.000007708206,0.0017242444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950016,0.000068503075,0.00003115839,0.00006941886,0.0002432133,0.00008749811],"domain_scores_gemma":[0.9996238,0.000059082446,0.000081535945,0.000030688774,0.00018686989,0.000018116274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076779927,0.0002924192,0.0003379701,0.0023232775,0.0003174858,0.0010051645,0.00024842378,0.00021226106,0.000758361],"category_scores_gemma":[0.0012931519,0.0001307122,0.0004880027,0.003553814,0.00030390144,0.0003939457,0.00042799953,0.00014603736,0.00016518605],"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":[0.00036362535,0.00018690467,0.5869328,0.00086185726,0.00037028233,0.0008694693,0.0033548821,0.02826503,0.0500377,0.020273376,0.0013683911,0.30711576],"study_design_scores_gemma":[0.000008867528,0.00015238863,0.9129323,0.00020493816,0.00020072318,0.0004857499,0.0035158594,0.0115609225,0.023673872,0.0025037192,0.044713717,0.000046894238],"about_ca_topic_score_codex":0.053995736,"about_ca_topic_score_gemma":0.08778061,"teacher_disagreement_score":0.053995736,"about_ca_system_score_codex":0.0021784417,"about_ca_system_score_gemma":0.0011262761,"threshold_uncertainty_score":0.10736287},"labels":[],"label_agreement":null},{"id":"W2047670198","doi":"10.3390/en7042573","title":"Implications of Spatial Variability in Heat Flow for Geothermal Resource Evaluation in Large Foreland Basins: The Case of the Western Canada Sedimentary Basin","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":71,"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":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Helmholtz-Alberta Initiative; University of Alberta","keywords":"Geothermal gradient; Aquifer; Foreland basin; Structural basin; Geology; Sedimentary basin; Sedimentary rock; Geothermal heating; Geothermal exploration; Hydrology (agriculture); Geothermal energy; Petrology; Geomorphology; Earth science; Geochemistry; Groundwater; Geophysics; Geotechnical engineering","score_opus":0.009513731161765576,"score_gpt":0.23210239885627548,"score_spread":0.2225886676945099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047670198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964211,0.00023079095,0.0005993448,0.0002214991,0.0000041014205,0.000019863259,0.0007856248,0.00002512331,0.0016925469],"genre_scores_gemma":[0.99879456,0.0001018286,0.00062614155,0.000012627827,0.000001608432,0.0000048625916,0.00027291136,0.000004922111,0.00018050024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967694,0.00007345568,0.000019437626,0.000058635844,0.00007449399,0.000097127624],"domain_scores_gemma":[0.9989359,0.0003461985,0.00013409767,0.00008173925,0.00040024397,0.00010182601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067542854,0.00023913126,0.000281775,0.0011593451,0.0010154872,0.001654443,0.0008215409,0.0003037117,0.0005853786],"category_scores_gemma":[0.0034593707,0.00015543643,0.0003691352,0.0032634172,0.0009248185,0.0003949994,0.0004748357,0.000246804,0.00003672335],"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":[0.00015602943,0.000050262723,0.8936091,0.00007410723,0.00015053709,0.00060169,0.0006992228,0.081019826,0.0012319703,0.0019190989,0.00075414585,0.019734036],"study_design_scores_gemma":[0.00001519003,0.000015906267,0.90147656,0.000047770962,0.000068035784,0.00010698367,0.003079605,0.092059635,0.0007661179,0.00065785163,0.0016761814,0.000030223046],"about_ca_topic_score_codex":0.9694326,"about_ca_topic_score_gemma":0.9795965,"teacher_disagreement_score":0.030567408,"about_ca_system_score_codex":0.010357486,"about_ca_system_score_gemma":0.00797076,"threshold_uncertainty_score":0.07514918},"labels":[],"label_agreement":null},{"id":"W2049450242","doi":"10.3390/en5125171","title":"Ash Deposition in Biomass Combustion or Co-Firing for Power/Heat Generation","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Arizona Biomedical Research Commission","keywords":"Biomass (ecology); Combustion; Deposition (geology); Fly ash; Environmental science; Waste management; Bottom ash; Environmental engineering; Chemistry; Engineering; Agronomy; Geology","score_opus":0.0200215057014683,"score_gpt":0.24591878684784974,"score_spread":0.22589728114638144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049450242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57658666,0.2795302,0.10216956,0.00043977614,0.0007787137,0.000114322116,0.00020304702,0.00016415775,0.040013622],"genre_scores_gemma":[0.8819099,0.08581198,0.020395571,0.000117641066,0.000236569,0.000026811189,0.00014375248,0.000047178895,0.011310578],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976474,0.0000308187,0.000014043738,0.00003806556,0.00013105299,0.000021225018],"domain_scores_gemma":[0.99994683,0.000021627962,0.000010090919,0.0000036952133,0.000013915604,0.0000037346804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002905193,0.00033208088,0.00040061606,0.0003474531,0.0002370546,0.00060881645,0.0003222343,0.00045989163,0.00063076],"category_scores_gemma":[0.00014863638,0.00017253569,0.00023247815,0.00027549206,0.0002498516,0.00037464005,0.00036034934,0.00032874563,0.0002816439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027869493,0.00007258595,0.003898777,0.004078368,0.00009049092,0.0011512169,0.0002865089,0.0108897155,0.8168145,0.011748847,0.000798557,0.14989175],"study_design_scores_gemma":[0.00001121192,0.00028024212,0.0081355525,0.00026811037,0.00009792449,0.0017508663,0.00032710814,0.0133636715,0.9201086,0.0060147704,0.04961163,0.00003029367],"about_ca_topic_score_codex":0.0005960893,"about_ca_topic_score_gemma":0.0015233546,"teacher_disagreement_score":0.00063076,"about_ca_system_score_codex":0.000341243,"about_ca_system_score_gemma":0.0002301944,"threshold_uncertainty_score":0.0024758577},"labels":[],"label_agreement":null},{"id":"W2051497978","doi":"10.3390/en6083734","title":"A Literature Review on Heating of Ventilation Air with Large Diameter Earth Tubes in Cold Climates","year":2013,"lang":"en","type":"review","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Heat exchanger; Environmental science; Ventilation (architecture); Atmospheric sciences; Meteorology; Thermodynamics; Geology; Physics","score_opus":0.019992272214145686,"score_gpt":0.2745795043643127,"score_spread":0.25458723215016704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051497978","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":[0.000161448,0.9991093,0.000064030544,0.00008808291,0.000071657894,0.000008052323,0.000034647368,0.0000036702504,0.00045907372],"genre_scores_gemma":[0.00056929636,0.9990422,0.00012321062,0.000058942805,0.00003743554,0.000006523748,0.000029291667,9.55169e-7,0.0001320962],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995652,0.000075730175,0.00012646572,0.000074383446,0.00012976104,0.000028445682],"domain_scores_gemma":[0.99870527,0.00078769913,0.00023816133,0.000021676078,0.00021504615,0.000032238764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080122345,0.0011460182,0.0019960753,0.006044648,0.00037856353,0.0012080496,0.0010915721,0.0010649124,0.0069241016],"category_scores_gemma":[0.0019027991,0.00050615374,0.0017674319,0.0067600626,0.00037249332,0.0015148866,0.0006848765,0.0008011719,0.0011334055],"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":[0.000100219,0.0000795122,0.00035346657,0.41123012,0.00049952616,0.00036319578,0.00024351774,0.00038699797,0.0017418222,0.0015839067,0.017814519,0.56560326],"study_design_scores_gemma":[0.00003360025,0.00020432251,0.0031298469,0.13874532,0.003018482,0.0022602156,0.00033753575,0.00012801684,0.0015160274,0.001406629,0.8491672,0.000052715226],"about_ca_topic_score_codex":0.0022736597,"about_ca_topic_score_gemma":0.003988395,"teacher_disagreement_score":0.0069241016,"about_ca_system_score_codex":0.0005714058,"about_ca_system_score_gemma":0.0022239804,"threshold_uncertainty_score":0.023163378},"labels":[],"label_agreement":null},{"id":"W2051951728","doi":"10.3390/en4071102","title":"Combustion of Corn Stover Bales in a Small 146-kW Boiler","year":2011,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Corn stover; Stover; Combustion; Heat of combustion; Pulp and paper industry; Boiler (water heating); Environmental science; Waste management; Airflow; Chemistry; Animal science; Agronomy; Biofuel; Engineering; Crop","score_opus":0.02037095941004507,"score_gpt":0.1794894446925778,"score_spread":0.15911848528253272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051951728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880123,0.000026167938,0.0007372648,0.0000033673095,0.000004639851,0.00004648042,0.0000910559,0.000012046156,0.0002776745],"genre_scores_gemma":[0.9950251,0.00008247717,0.003377844,0.000008956992,0.0000031869956,0.00007009666,0.00027900896,0.000025205094,0.0011281993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980026,0.000020145875,0.000018627767,0.00006355565,0.00006225752,0.000035221216],"domain_scores_gemma":[0.99987674,0.000026559155,0.000012240413,0.000018458639,0.000035214707,0.000030792537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032523487,0.0005129872,0.00067624205,0.00034646544,0.0007446042,0.00035958644,0.00039542472,0.00029713125,0.0014706833],"category_scores_gemma":[0.00023179711,0.00026851738,0.00025619834,0.00042215257,0.00029318914,0.0002238964,0.00030574715,0.00039317767,0.00025930308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015665416,0.00034382514,0.0025001508,0.00010075967,0.000015977685,0.000089732275,0.000052391013,0.002214641,0.9893907,0.000043737356,0.000031958527,0.0036496394],"study_design_scores_gemma":[0.00020275543,0.0020968923,0.021212349,0.00000914092,0.000040899347,0.00008828321,0.00006138361,0.0076315734,0.96789247,0.00003395328,0.00071452797,0.000015781008],"about_ca_topic_score_codex":0.0072438484,"about_ca_topic_score_gemma":0.014429226,"teacher_disagreement_score":0.0072438484,"about_ca_system_score_codex":0.0005274824,"about_ca_system_score_gemma":0.0005039527,"threshold_uncertainty_score":0.014403343},"labels":[],"label_agreement":null},{"id":"W2052447213","doi":"10.3390/en7042658","title":"Fault Detection and Location by Static Switches in Microgrids Using Wavelet Transform and Adaptive Network-Based Fuzzy Inference System","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":52,"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":"Institute of Nuclear Energy Research","keywords":"Microgrid; Adaptive neuro fuzzy inference system; Transformer; Wavelet; Discrete wavelet transform; Fault (geology); Computer science; Engineering; Fuzzy logic; Wavelet transform; Electronic engineering; Control engineering; Fuzzy control system; Voltage; Artificial intelligence; Electrical engineering","score_opus":0.004765687307559008,"score_gpt":0.17600618651099526,"score_spread":0.17124049920343626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052447213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21564102,0.00019687485,0.78137153,0.00008383435,0.00003656871,0.00004052654,0.000030106112,0.00057113793,0.0020284113],"genre_scores_gemma":[0.96282697,0.000086546584,0.036515836,0.000011785874,0.000006659591,0.000019870682,0.000024738642,0.0000078146695,0.00049968855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998832,0.000017139291,0.000010733271,0.00003559115,0.000042286218,0.000011091602],"domain_scores_gemma":[0.9998857,0.0000449343,0.000025875626,0.00000830697,0.000029762958,0.000005443242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024432666,0.00035980422,0.00035063224,0.00028199912,0.00022268882,0.0003502614,0.00035429242,0.0002942914,0.00038649552],"category_scores_gemma":[0.0005695226,0.0001467809,0.0003002901,0.00022374828,0.00020243746,0.00041249997,0.0001934423,0.00028604787,0.000058494737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028508136,0.00010011716,0.0033249257,0.000105381565,0.000065527325,0.00026528293,0.00017070373,0.7325372,0.03346625,0.0025270744,0.0005246439,0.22662777],"study_design_scores_gemma":[0.000004635363,0.000027538694,0.00040764542,0.0000028027039,0.000009247401,0.00001737311,0.000010264583,0.9971788,0.0019623938,0.00027925096,0.00009682311,0.00000329781],"about_ca_topic_score_codex":0.0060025086,"about_ca_topic_score_gemma":0.0042861463,"teacher_disagreement_score":0.0060025086,"about_ca_system_score_codex":0.00034624603,"about_ca_system_score_gemma":0.00029998794,"threshold_uncertainty_score":0.011935174},"labels":[],"label_agreement":null},{"id":"W2056366834","doi":"10.3390/en5061713","title":"A High Performance Real-Time Simulator for Controllers Hardware-in-the-Loop Testing","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer architecture simulator; Hardware-in-the-loop simulation; Field-programmable gate array; Controller (irrigation); Range (aeronautics); Simulation; Overhead (engineering); Computer hardware; Embedded system; Engineering","score_opus":0.01466245105879749,"score_gpt":0.21897597124967827,"score_spread":0.20431352019088078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056366834","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07366914,0.0001696878,0.9086513,0.00013487802,0.00015293962,0.00024191097,0.0004439768,0.0069867745,0.009549446],"genre_scores_gemma":[0.7719684,0.00019382771,0.22024263,0.000072336254,0.00002057217,0.0004378391,0.00072122883,0.0005579686,0.005785195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960834,0.00009037151,0.000021938338,0.000029813928,0.00021783575,0.000031719785],"domain_scores_gemma":[0.9993637,0.00026756115,0.000053407966,0.00012882626,0.00015187259,0.000034663262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004519084,0.00043362592,0.00037007584,0.00030292373,0.00020303224,0.00039341653,0.0010815307,0.00042452326,0.0044004363],"category_scores_gemma":[0.0013795326,0.0002170745,0.00026625668,0.00021646603,0.00027773637,0.00048014987,0.00031822003,0.0007422259,0.0005677422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030371326,0.00014914239,0.0022861236,0.00023950728,0.000062570136,0.00026425367,0.00017483084,0.8418843,0.07927382,0.015454856,0.0040149093,0.055891845],"study_design_scores_gemma":[0.00003984901,0.00009776225,0.00023551345,0.000007167956,0.000010010834,0.00004929244,0.000011145909,0.96423274,0.026839912,0.0009019539,0.007563828,0.000010917005],"about_ca_topic_score_codex":0.0011002886,"about_ca_topic_score_gemma":0.0010030608,"teacher_disagreement_score":0.0044004363,"about_ca_system_score_codex":0.00036614144,"about_ca_system_score_gemma":0.00084334635,"threshold_uncertainty_score":0.014720917},"labels":[],"label_agreement":null},{"id":"W2067193909","doi":"10.3390/en7042476","title":"Design of a Control Scheme for Distribution Static Synchronous Compensators with Power-Quality Improvement Capability","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":16,"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":"Ministerio de Economía y Competitividad","keywords":"Electric power system; Engineering; Power electronics; Converters; Smart grid; Power control; Smart power; Context (archaeology); Distributed generation; Control engineering; AC power; Voltage; Power (physics); Electrical engineering; Renewable energy","score_opus":0.005260937413102723,"score_gpt":0.19846873307480717,"score_spread":0.19320779566170446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067193909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015042474,0.00018679972,0.9794652,0.00008269692,0.00006969572,0.00020981456,0.000036672536,0.00054893014,0.0043577324],"genre_scores_gemma":[0.86043596,0.00022842467,0.13613851,0.00007971828,0.000101981845,0.00029524724,0.00007934647,0.000045049463,0.0025958354],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979526,0.000032006483,0.000017771446,0.00006158478,0.00007102399,0.000022337354],"domain_scores_gemma":[0.99982375,0.000031127485,0.000042463613,0.000022097543,0.0000694416,0.0000111929385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003338954,0.00058576907,0.00032287516,0.00036841925,0.0003978454,0.00065169943,0.0008165956,0.00047776368,0.0026421028],"category_scores_gemma":[0.00051810296,0.00015112606,0.00026932659,0.00026645095,0.00028198754,0.00034907518,0.00022204766,0.0003800921,0.000508296],"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":[0.0004185702,0.00019560983,0.0009413695,0.0006149234,0.00011688051,0.00027532552,0.0003146182,0.19762395,0.25561905,0.039114133,0.0041010277,0.50066453],"study_design_scores_gemma":[0.00018301808,0.00087643706,0.0011372634,0.000054530752,0.00009801028,0.0002607065,0.000030868814,0.9259697,0.05335331,0.0030928678,0.014915473,0.000027711796],"about_ca_topic_score_codex":0.0012145449,"about_ca_topic_score_gemma":0.0014117816,"teacher_disagreement_score":0.0026421028,"about_ca_system_score_codex":0.0003904168,"about_ca_system_score_gemma":0.00045287044,"threshold_uncertainty_score":0.008838713},"labels":[],"label_agreement":null},{"id":"W2071119300","doi":"10.3390/en7042631","title":"A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Islanding; Electric power system; Tracing; Heuristic; Computer science; Partition (number theory); Graph partition; Fault (geology); Graph; Control theory (sociology); Engineering; Power (physics); Mathematics; Artificial intelligence","score_opus":0.02715428513212014,"score_gpt":0.21529613155001504,"score_spread":0.1881418464178949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071119300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04281515,0.000083783394,0.95492494,0.00005967685,0.000018479957,0.00004374358,0.000009549006,0.00036948762,0.0016752245],"genre_scores_gemma":[0.9262827,0.000036771467,0.07261509,0.00003735741,0.000013479598,0.00007445764,0.000023236058,0.000018256307,0.00089861685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981564,0.000046637757,0.000009121355,0.000058238238,0.000050044408,0.000020229973],"domain_scores_gemma":[0.99979943,0.000067847504,0.00004247202,0.000024477216,0.000050300492,0.000015527658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023726422,0.00054130895,0.00036654953,0.0003122858,0.0003155789,0.00033296563,0.00062267424,0.00025924054,0.00074788893],"category_scores_gemma":[0.0006742943,0.00016261527,0.00022552362,0.00029440198,0.00033080683,0.0005908467,0.0005468352,0.00039538572,0.00011841578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019495563,0.00015182942,0.0017288798,0.000110337816,0.00009264123,0.00021975776,0.0003184845,0.543514,0.06535517,0.01661929,0.0016853533,0.37000915],"study_design_scores_gemma":[0.000017216556,0.0001288356,0.00041502112,0.000003881933,0.000011977591,0.000029095767,0.000020324364,0.9942316,0.0026220551,0.00196166,0.00055054616,0.000007692717],"about_ca_topic_score_codex":0.00200072,"about_ca_topic_score_gemma":0.0028173982,"teacher_disagreement_score":0.00200072,"about_ca_system_score_codex":0.00026770247,"about_ca_system_score_gemma":0.00028588512,"threshold_uncertainty_score":0.003978193},"labels":[],"label_agreement":null},{"id":"W2073558780","doi":"10.3390/en6042204","title":"On the Feasibility of Using Poles Computed from Frequency Domain Spectroscopy to Assess Oil Impregnated Paper Insulation Conditions","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Canada Research Chairs","keywords":"Dissipation factor; Dielectric; Materials science; Permittivity; Water content; Moisture; Composite material; Frequency domain; Electrical insulation paper; Insulation system; Volume (thermodynamics); Dielectric loss; Dissipation; Electrical engineering; Engineering; Voltage; Geotechnical engineering; Mathematics; Thermodynamics; Optoelectronics; Physics","score_opus":0.028603392260608825,"score_gpt":0.2625742128971325,"score_spread":0.2339708206365237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073558780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81746227,0.0011690976,0.17845444,0.00010782436,0.000111204325,0.00014980124,0.00029564265,0.00035096414,0.0018987778],"genre_scores_gemma":[0.9218033,0.00065737683,0.07671941,0.000027990665,0.000022035467,0.00004104975,0.0001165286,0.00003166149,0.00058057054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936074,0.00021020429,0.000029589988,0.0001603883,0.0002024903,0.000036575995],"domain_scores_gemma":[0.9968831,0.0019789787,0.00018664212,0.0003072751,0.0005919872,0.000052038988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017032608,0.00053484575,0.0003443732,0.0008021031,0.00017148927,0.00065469946,0.0005349518,0.000811434,0.0009780504],"category_scores_gemma":[0.0043848567,0.000203337,0.00022678873,0.0005040291,0.0004885186,0.00090965943,0.00036110106,0.00037630074,0.00041254004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013448158,0.00018338213,0.011419995,0.00019359741,0.00004030615,0.00021860961,0.000121181016,0.0077162525,0.90158087,0.00043089257,0.000108657674,0.07664142],"study_design_scores_gemma":[0.000058126385,0.0027421846,0.029790916,0.00006033551,0.00013261127,0.0004958815,0.00027403087,0.10600443,0.8580225,0.0006883369,0.0016555793,0.00007514872],"about_ca_topic_score_codex":0.00063139753,"about_ca_topic_score_gemma":0.00086812204,"teacher_disagreement_score":0.0017032608,"about_ca_system_score_codex":0.00010867834,"about_ca_system_score_gemma":0.00019801383,"threshold_uncertainty_score":0.009007812},"labels":[],"label_agreement":null},{"id":"W2077202413","doi":"10.3390/en20200180","title":"Optimal Fixed Bed Reactor Network Configuration for the Efficient Recycling of CO2 into Methanol","year":2009,"lang":"en","type":"article","venue":"Energies","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Methanol; Production (economics); Process engineering; Profit (economics); Environmental science; Computer science; Mathematical optimization; Mathematics; Engineering; Chemistry","score_opus":0.01354877003916303,"score_gpt":0.25863114660845365,"score_spread":0.24508237656929063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077202413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5322279,0.0011612596,0.45551404,0.00019316451,0.00006171854,0.00019661195,0.00019583739,0.0002955864,0.010153981],"genre_scores_gemma":[0.9547226,0.0002545681,0.04362916,0.000010513124,0.0000061743262,0.000070214846,0.000062778316,0.000016503416,0.0012275532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998173,0.000062141655,0.0000067760416,0.000046619603,0.000033209417,0.00003391639],"domain_scores_gemma":[0.99981314,0.00008045905,0.000043658936,0.00001159398,0.000034182383,0.000017027814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038156917,0.00084404816,0.00057799503,0.00065250957,0.00040835736,0.0008425038,0.0009517496,0.0006700264,0.0015210754],"category_scores_gemma":[0.00067964336,0.0005110019,0.00047379604,0.00045573735,0.0005074249,0.00089180836,0.00034513522,0.0003176193,0.00016590269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008885738,0.00004761194,0.00045573164,0.00006936355,0.000021873198,0.00006853328,0.00001592112,0.9829607,0.005480914,0.0013547479,0.00010743441,0.009328342],"study_design_scores_gemma":[0.00002572504,0.000174988,0.00039742753,0.000007184236,0.000028140728,0.00003053101,0.00003166746,0.99458164,0.0032629145,0.0010691636,0.00037884776,0.0000117433265],"about_ca_topic_score_codex":0.0047526797,"about_ca_topic_score_gemma":0.007941833,"teacher_disagreement_score":0.0047526797,"about_ca_system_score_codex":0.0013060787,"about_ca_system_score_gemma":0.0009052253,"threshold_uncertainty_score":0.009476244},"labels":[],"label_agreement":null},{"id":"W2077334917","doi":"10.3390/en5114323","title":"Investigation on Electrostatical Breakup of Bio-Oil Droplets","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Breakup; Surface tension; Mechanics; Instability; Electric potential energy; Electric field; Chemistry; Weber number; Materials science; Physics; Thermodynamics; Reynolds number; Turbulence","score_opus":0.008093805047671807,"score_gpt":0.1907386489160482,"score_spread":0.18264484386837637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077334917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99162173,0.0006893837,0.0065303072,0.000030829793,0.000008640993,0.000021695234,0.00005911735,0.000020239506,0.0010182053],"genre_scores_gemma":[0.9972583,0.00035864968,0.0016666969,0.000011433265,0.0000034392426,0.000008316949,0.000050599923,0.0000041433746,0.0006384098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998771,0.0000074120208,0.0000054696825,0.000022969527,0.000067828965,0.000019198276],"domain_scores_gemma":[0.9998661,0.000048090347,0.000028758428,0.000009993659,0.00003531933,0.000011761065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001233468,0.0001236187,0.00015815758,0.00026877123,0.00021912466,0.00019133587,0.0002442584,0.00020435097,0.0011305097],"category_scores_gemma":[0.00028360527,0.000081317,0.00015716044,0.0002041132,0.00020840426,0.00047564277,0.00022894435,0.00028154242,0.0001765075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061839935,0.00002122768,0.0018869122,0.000074107294,0.0000065099985,0.00023403476,0.00009743997,0.00059367897,0.9916653,0.00041375888,0.000022942615,0.0049222526],"study_design_scores_gemma":[0.0000048171805,0.00015955673,0.008248024,0.000004365978,0.000006514252,0.00022292833,0.00014114486,0.007318763,0.9828986,0.00020527701,0.00078230695,0.000007640878],"about_ca_topic_score_codex":0.0003213578,"about_ca_topic_score_gemma":0.00026224533,"teacher_disagreement_score":0.0011305097,"about_ca_system_score_codex":0.00018202454,"about_ca_system_score_gemma":0.00008828246,"threshold_uncertainty_score":0.0037819743},"labels":[],"label_agreement":null},{"id":"W2078465609","doi":"10.3390/en3050974","title":"Simulation of the Impact of SRT on Anaerobic Digestability of Ultrasonicated Hog Manure","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","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":"Western University","funders":"","keywords":"Anaerobic digestion; Sonication; Manure; Chemistry; Pulp and paper industry; Anaerobic exercise; Methane; Total dissolved solids; Digestion (alchemy); Waste management; Environmental science; Environmental engineering; Chromatography; Agronomy; Biology; Engineering","score_opus":0.007296383270379747,"score_gpt":0.2391920152464002,"score_spread":0.23189563197602048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078465609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976399,0.000020581334,0.0012660049,0.000024774597,0.0000039493443,0.000015318223,0.00009712894,0.00001563279,0.00091664237],"genre_scores_gemma":[0.99899596,0.00001998258,0.00057587336,0.0000050582603,5.348508e-7,0.000016374748,0.000045085457,0.0000027408569,0.00033847828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998933,0.000026237129,0.000005974869,0.00001898498,0.00001789988,0.00003767083],"domain_scores_gemma":[0.9995223,0.00031558366,0.00005748291,0.000017706396,0.000053324162,0.000033522607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003674911,0.0004127865,0.0004188117,0.00026030876,0.00029151872,0.00054650276,0.0005332932,0.0009496771,0.001429005],"category_scores_gemma":[0.0009786232,0.00026083944,0.00048951706,0.00029794994,0.00042401775,0.0003647208,0.00033255483,0.00041416372,0.00009562031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027872447,0.000086939406,0.0025951795,0.000030338973,0.000014346295,0.000091286965,0.000024057781,0.9891896,0.0063295867,0.0002047503,0.00004268264,0.0011124328],"study_design_scores_gemma":[0.000047194604,0.0002738975,0.0017985186,0.0000032430205,0.000016072046,0.000010043042,0.000039419407,0.99326915,0.00435592,0.00008455779,0.00009369741,0.00000829519],"about_ca_topic_score_codex":0.021435,"about_ca_topic_score_gemma":0.0098764505,"teacher_disagreement_score":0.021435,"about_ca_system_score_codex":0.0010346255,"about_ca_system_score_gemma":0.0006992442,"threshold_uncertainty_score":0.04262048},"labels":[],"label_agreement":null},{"id":"W2080739960","doi":"10.3390/en6115940","title":"Time Series EROI for Canadian Oil and Gas","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":50,"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":"Department for International Development; European Social Fund; State University of New York; Edna Bailey Sussman Foundation","keywords":"Oil sands; Fossil fuel; tar (computing); Environmental science; Energy (signal processing); Unconventional oil; Fraction (chemistry); Energy resources; Energy flow; Return on investment; Natural resource economics; Production (economics); Petroleum engineering; Waste management; Environmental protection; Economics; Chemistry; Engineering; Statistics; Geography; Mathematics; Computer science; Archaeology","score_opus":0.006967662987873213,"score_gpt":0.22381055849547182,"score_spread":0.2168428955075986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080739960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5300682,0.0015149892,0.0076747546,0.0013585729,0.00015771907,0.0001018951,0.42266855,0.0012527576,0.035202518],"genre_scores_gemma":[0.7391017,0.0015003149,0.0050746603,0.00013416742,0.000031406635,0.000104969804,0.22886926,0.00012892655,0.025054595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994931,0.000024149975,0.000023350907,0.0000923312,0.0002558304,0.00011123926],"domain_scores_gemma":[0.99863666,0.00019027737,0.0001747391,0.000059621467,0.00088224007,0.000056397945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005256422,0.0004612096,0.0002709112,0.0025649886,0.0004075492,0.00092618796,0.00087343255,0.00036045996,0.0047221864],"category_scores_gemma":[0.003010471,0.000166679,0.0006148378,0.0042411806,0.00023708511,0.0005048552,0.00025913626,0.0007425114,0.00068333466],"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":[0.0003945341,0.000091486465,0.5108591,0.000744869,0.00088628446,0.00043960643,0.0006330586,0.23146178,0.002009351,0.031704146,0.14333265,0.077443175],"study_design_scores_gemma":[0.000030971692,0.000039301824,0.75179344,0.00009631625,0.00016222837,0.00020879266,0.0007915664,0.11065725,0.0026001472,0.001602336,0.13184425,0.00017337901],"about_ca_topic_score_codex":0.9736422,"about_ca_topic_score_gemma":0.9757352,"teacher_disagreement_score":0.02635783,"about_ca_system_score_codex":0.013789786,"about_ca_system_score_gemma":0.0072978986,"threshold_uncertainty_score":0.10005236},"labels":[],"label_agreement":null},{"id":"W2082160126","doi":"10.3390/en7042298","title":"Spatiotemporal Variability of Carbon Flux from Different Land Use and Land Cover Changes: A Case Study in Hubei Province, China","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université de Sherbrooke","funders":"Ministry of Land and Resources of the People's Republic of China; National Natural Science Foundation of China","keywords":"Greenhouse gas; Environmental science; Carbon sink; Urbanization; Land use; Carbon fibers; Land cover; Emission intensity; Climate change; Atmospheric sciences; Physical geography; Geography; Ecology","score_opus":0.007113308884040565,"score_gpt":0.1914529784832285,"score_spread":0.18433966959918793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082160126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993181,0.000026788171,0.00010046299,0.000026014748,0.0000010634184,0.000006111723,0.00035579925,0.000008114899,0.00015743532],"genre_scores_gemma":[0.9992525,0.000030567397,0.000116221134,0.0000041132826,0.0000013327511,0.0000041924422,0.00045576764,0.0000016052516,0.00013369598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998104,0.000025787065,0.000011551654,0.000051158262,0.00003661109,0.0000645518],"domain_scores_gemma":[0.9995647,0.00011464479,0.000086366286,0.00003993664,0.00012755433,0.00006677498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047253474,0.00037977588,0.0002954891,0.0016738797,0.0006169686,0.0006613277,0.0005485153,0.00046214234,0.0005491012],"category_scores_gemma":[0.00076176744,0.00021303557,0.00057771994,0.0029080634,0.00046861745,0.00036126634,0.00037488798,0.0002197599,0.000065555156],"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":[0.00016297163,0.00015909287,0.9588507,0.000051881034,0.00017875714,0.002628081,0.0006004824,0.027166162,0.0028432694,0.00040680825,0.00068393094,0.0062680375],"study_design_scores_gemma":[0.000013196179,0.000029265671,0.9495164,0.0000046158452,0.00006235547,0.00012510817,0.0007181981,0.04860143,0.0005409732,0.00008526064,0.00028009526,0.000023076787],"about_ca_topic_score_codex":0.48933995,"about_ca_topic_score_gemma":0.41201162,"teacher_disagreement_score":0.48933995,"about_ca_system_score_codex":0.0038597246,"about_ca_system_score_gemma":0.0012162785,"threshold_uncertainty_score":0.97298336},"labels":[],"label_agreement":null},{"id":"W2083578781","doi":"10.3390/en3111721","title":"A Photovoltaic Device Using an Electrolyte Containing Photosynthetic Reaction Centers","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Photocurrent; Electrolyte; Electrode; Photovoltaic system; Light intensity; Monolayer; Absorption (acoustics); Materials science; Optoelectronics; Electrochemistry; Photosynthetic reaction centre; Analytical Chemistry (journal); Chemistry; Photochemistry; Optics; Nanotechnology; Physics; Electron transfer; Electrical engineering; Chromatography","score_opus":0.01312196069424601,"score_gpt":0.26111720398520527,"score_spread":0.24799524329095926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083578781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6887618,0.024445577,0.26227787,0.002553693,0.002280415,0.00037361158,0.0019476482,0.0023356937,0.0150237],"genre_scores_gemma":[0.82741016,0.008324494,0.14848807,0.0012283103,0.00031748644,0.00020264927,0.00069092057,0.00008083194,0.0132570695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998186,0.00001759348,0.000013708705,0.0000630411,0.0000693843,0.000017667984],"domain_scores_gemma":[0.9998467,0.00005884076,0.000020705853,0.000016324162,0.000031785705,0.000025606554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003060802,0.00032645444,0.00054812303,0.0002600508,0.0003748203,0.00095683476,0.001159136,0.0016080813,0.0009852186],"category_scores_gemma":[0.000334437,0.00030858745,0.00036462414,0.00040030072,0.00031330207,0.001016565,0.00037995985,0.0008962158,0.0007297039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027376223,0.000024547471,0.00010225841,0.00015488254,0.000014746199,0.000106160485,0.0000140669235,0.00007746029,0.9927006,0.001018598,0.00018314115,0.0055761253],"study_design_scores_gemma":[0.000018865656,0.00017850482,0.0004040433,0.000018065522,0.00003670288,0.000604543,0.000011231803,0.0011150686,0.9862601,0.00031568625,0.011021602,0.000015668813],"about_ca_topic_score_codex":0.000106518724,"about_ca_topic_score_gemma":0.00018059382,"teacher_disagreement_score":0.0016080813,"about_ca_system_score_codex":0.00033534117,"about_ca_system_score_gemma":0.00021682795,"threshold_uncertainty_score":0.0032958388},"labels":[],"label_agreement":null},{"id":"W2085761776","doi":"10.3390/en3111790","title":"Scale Effects on Quasi-Steady Solid Rocket Internal Ballistic Behaviour","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Internal ballistics; Propellant; Solid-fuel rocket; Ballistics; Deflection (physics); Aerospace engineering; Engineering; Mechanics; Simulation; Mechanical engineering; Materials science; Physics; Classical mechanics","score_opus":0.008723345265399399,"score_gpt":0.2665378135226148,"score_spread":0.2578144682572154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085761776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811866,0.00013134473,0.013891024,0.000028517848,0.000007921681,0.0000140487555,0.0000486596,0.00023715328,0.0044546314],"genre_scores_gemma":[0.99929976,0.000025784984,0.0004337416,0.0000020629077,5.4788273e-7,0.000002382733,0.000014886531,0.000016753856,0.00020401462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998456,0.000020198386,0.00000792587,0.000023392178,0.00007384543,0.000029040799],"domain_scores_gemma":[0.9992536,0.00042149975,0.000085566084,0.00011547683,0.00009731035,0.000026563976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028894923,0.00025369422,0.00021867322,0.00016728976,0.00020096563,0.00031620078,0.00021021214,0.00019058915,0.0017637267],"category_scores_gemma":[0.0020817104,0.00018356985,0.0002594084,0.000121183606,0.0005239562,0.0003882452,0.0003935371,0.0002484408,0.000289907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007700477,0.00009928006,0.018261684,0.0002094963,0.000044060973,0.0006101288,0.00044388007,0.57878864,0.3629592,0.0027040823,0.00030397234,0.034805503],"study_design_scores_gemma":[0.000032148175,0.0008737737,0.05006801,0.00002157034,0.000038152586,0.0002546599,0.0001857318,0.70554376,0.2408602,0.0010577912,0.0010130865,0.000051221075],"about_ca_topic_score_codex":0.0011938057,"about_ca_topic_score_gemma":0.0013615673,"teacher_disagreement_score":0.0017637267,"about_ca_system_score_codex":0.00027312472,"about_ca_system_score_gemma":0.00015046392,"threshold_uncertainty_score":0.005900264},"labels":[],"label_agreement":null},{"id":"W2087116765","doi":"10.3390/en6083669","title":"Contribution of Small Wind Turbine Structural Vibration to Noise Emission","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Noise Effects and Management","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Tower; Turbine; Deflection (physics); Acoustics; Accelerometer; Noise (video); Wind power; Structural engineering; Finite element method; Engineering; Physics; Electrical engineering; Computer science; Aerospace engineering; Optics","score_opus":0.01752367442548049,"score_gpt":0.32358127100080825,"score_spread":0.3060575965753278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087116765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604607,0.00049427146,0.034586485,0.00018991817,0.000058154736,0.000033751367,0.000063480504,0.000103017905,0.0040101805],"genre_scores_gemma":[0.9986051,0.00009173156,0.00082848145,0.000018799463,0.000013481216,0.000004325881,0.0000232124,0.000011028587,0.0004038784],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995915,0.00013301415,0.000014478834,0.000051891555,0.00017039137,0.00003864448],"domain_scores_gemma":[0.9984555,0.0012048334,0.000074691685,0.00004695706,0.00017687085,0.00004100201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043877738,0.0003095669,0.00032064292,0.00046350114,0.000253693,0.00032567699,0.00021157789,0.0004748724,0.0021579764],"category_scores_gemma":[0.0022041562,0.00019790398,0.00018855333,0.00017567354,0.00028849312,0.00021753633,0.00030495677,0.00021359001,0.0004164625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001718625,0.0005047099,0.2583796,0.0009053499,0.0002618408,0.0040858877,0.0019147797,0.1147666,0.35962814,0.0019444305,0.0017843029,0.25410566],"study_design_scores_gemma":[0.00007787164,0.0025140163,0.6567734,0.00021116514,0.00027603368,0.0044954186,0.0019714532,0.25489715,0.06856423,0.004147953,0.005967219,0.00010412768],"about_ca_topic_score_codex":0.0008910558,"about_ca_topic_score_gemma":0.0013065004,"teacher_disagreement_score":0.0021579764,"about_ca_system_score_codex":0.00016365388,"about_ca_system_score_gemma":0.00015482609,"threshold_uncertainty_score":0.0072191954},"labels":[],"label_agreement":null},{"id":"W2088109569","doi":"10.3390/en20200269","title":"North American Natural Gas Supply Forecast: The Hubbert Method Including the Effects of Institutions","year":2009,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":36,"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":"Natural gas; Natural resource economics; Unconventional oil; Supply and demand; Natural gas industry; Economics; Inflection point; Petroleum engineering; Fossil fuel; Oil shale; Environmental science; Engineering; Waste management; Microeconomics; Mathematics","score_opus":0.016703995160459215,"score_gpt":0.3185005497268481,"score_spread":0.3017965545663889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088109569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3081465,0.00087618164,0.6618156,0.0015786162,0.0001974957,0.000107147,0.003989648,0.0017386808,0.021550173],"genre_scores_gemma":[0.9452384,0.00040466164,0.046512395,0.000088051456,0.00011319851,0.000063083884,0.001899594,0.00016455638,0.0055160006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944466,0.00025107467,0.000019243193,0.00013698071,0.00009333828,0.000054687636],"domain_scores_gemma":[0.99668854,0.0020690057,0.0003788033,0.0003428233,0.00040901842,0.00011190455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019166588,0.00048094158,0.0007549878,0.001667498,0.00062962656,0.0014738763,0.000838189,0.0009327244,0.003621625],"category_scores_gemma":[0.010300262,0.00049709855,0.00073129946,0.0019941137,0.0003958528,0.0015734162,0.00050126936,0.0011238123,0.0005570204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006073159,0.000010349028,0.00849147,0.000010178277,0.00006137907,0.000040004466,0.000026461517,0.9591067,0.00008593203,0.007717942,0.0019488573,0.02243995],"study_design_scores_gemma":[0.0000028856145,0.000003204045,0.0009949751,0.0000028531222,0.000005232179,0.000004388817,0.00000814956,0.9949753,0.000056608882,0.0032592071,0.0006805169,0.0000067141127],"about_ca_topic_score_codex":0.1529924,"about_ca_topic_score_gemma":0.089895844,"teacher_disagreement_score":0.1529924,"about_ca_system_score_codex":0.0017127824,"about_ca_system_score_gemma":0.0024128798,"threshold_uncertainty_score":0.30420375},"labels":[],"label_agreement":null},{"id":"W2090102308","doi":"10.3390/en8042438","title":"Forces and Moments on Flat Plates of Small Aspect Ratio with Application to PV Wind Loads and Small Wind Turbine Blades","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind tunnel; Mechanics; Drag; Aspect ratio (aeronautics); Lift-to-drag ratio; Turbulence; Angle of attack; Relative wind; Turbulence kinetic energy; Aerodynamic force; Reynolds number; Lift (data mining); Structural engineering; Physics; Materials science; Engineering; Aerodynamics","score_opus":0.01437690769465098,"score_gpt":0.21073851533019833,"score_spread":0.19636160763554736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090102308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967631,0.0001035759,0.002199583,0.000019679905,0.000011856392,0.000021529533,0.00012011061,0.000030150497,0.000730378],"genre_scores_gemma":[0.997903,0.00006942336,0.0016664118,0.000004844404,0.00000447197,0.000006963611,0.000052074447,0.000004342375,0.00028843925],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998306,0.000017370206,0.000009429672,0.000026249923,0.00008479335,0.00003156387],"domain_scores_gemma":[0.99937904,0.0002764378,0.000105550505,0.000064897984,0.00011383523,0.000060202496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002116485,0.00042037238,0.00024400612,0.00068522256,0.00024572184,0.00021921536,0.00035753057,0.0002539602,0.0017357325],"category_scores_gemma":[0.0006995278,0.00026623486,0.00024231829,0.0003958258,0.0005772994,0.00018207662,0.00023952535,0.00020420586,0.00016059328],"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":[0.00092165876,0.00012245926,0.013931545,0.0002409516,0.000026945194,0.0008545875,0.0002078843,0.023916837,0.9326771,0.00025304957,0.00019853227,0.026648413],"study_design_scores_gemma":[0.00006731182,0.0037789077,0.3022131,0.000036281333,0.00003925882,0.0007484354,0.00063532026,0.091141455,0.5998726,0.00037241337,0.0010150748,0.00007988415],"about_ca_topic_score_codex":0.0016922253,"about_ca_topic_score_gemma":0.002229309,"teacher_disagreement_score":0.0017357325,"about_ca_system_score_codex":0.00019298634,"about_ca_system_score_gemma":0.00016569969,"threshold_uncertainty_score":0.005806625},"labels":[],"label_agreement":null},{"id":"W2095116039","doi":"10.3390/en20200377","title":"Direct Utilization of Liquid Fuels in SOFC for Portable Applications: Challenges for the Selection of Alternative Anodes","year":2009,"lang":"en","type":"article","venue":"Energies","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":148,"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","keywords":"Anode; Materials science; Carbon fibers; Electricity generation; Yttria-stabilized zirconia; Solid oxide fuel cell; Hydrogen; Waste management; Process engineering; Chemical engineering; Cubic zirconia; Metallurgy; Chemistry; Electrode; Power (physics); Engineering; Composite material; Organic chemistry","score_opus":0.0490863450884216,"score_gpt":0.3266995307715299,"score_spread":0.27761318568310833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095116039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5223189,0.38679957,0.059065968,0.003963122,0.00039026674,0.00019160476,0.00029511322,0.00026415827,0.026711276],"genre_scores_gemma":[0.6875152,0.22760245,0.071092084,0.00056178105,0.00023489648,0.00021205167,0.0004788932,0.00009802286,0.012204658],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997049,0.00003532078,0.00002434728,0.000039126975,0.00015653239,0.000039899747],"domain_scores_gemma":[0.9998797,0.00004141949,0.000015683436,0.000009145222,0.000043134733,0.000010850231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492968,0.00044336868,0.00086516654,0.00045453248,0.00039993244,0.001320518,0.00052288105,0.0010183128,0.0009951992],"category_scores_gemma":[0.0003574469,0.00026680226,0.0003627313,0.00053231453,0.00032040974,0.0016487554,0.00048985874,0.0008539203,0.0009596088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019464883,0.0001542571,0.0011159645,0.0020943051,0.000024126071,0.0008501243,0.00014880329,0.0020541719,0.7254419,0.006811444,0.0012572597,0.259853],"study_design_scores_gemma":[0.000048942842,0.0008445382,0.0015155381,0.00038181155,0.00006506867,0.0025571608,0.00038949345,0.005387848,0.8648196,0.0051071304,0.11882494,0.000057931138],"about_ca_topic_score_codex":0.00027167838,"about_ca_topic_score_gemma":0.000616375,"teacher_disagreement_score":0.001320518,"about_ca_system_score_codex":0.00039334717,"about_ca_system_score_gemma":0.00039318335,"threshold_uncertainty_score":0.0039626956},"labels":[],"label_agreement":null},{"id":"W2100488426","doi":"10.3390/en20400851","title":"A Novel Technique to Determine Concentration-Dependent Solvent Dispersion in Vapex","year":2009,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dispersion (optics); Solvent; Propane; Petroleum engineering; Asphalt; Materials science; Oil spill; Soil vapor extraction; Extraction (chemistry); Work (physics); Process (computing); Process engineering; Chromatography; Chemistry; Computer science; Mechanical engineering; Engineering; Organic chemistry; Composite material; Physics; Contamination","score_opus":0.010494539618710712,"score_gpt":0.2448089352075716,"score_spread":0.23431439558886089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100488426","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":[0.07646967,0.00012230803,0.921873,0.00006884284,0.00003829182,0.000076350545,0.00006331155,0.00047085015,0.0008173524],"genre_scores_gemma":[0.3397028,0.00020965075,0.65842026,0.00003486939,0.000012909811,0.00014362084,0.00007740223,0.0000630883,0.0013354203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974483,0.00002116947,0.000010188937,0.000062453924,0.00014765632,0.000013750455],"domain_scores_gemma":[0.9995788,0.00020926056,0.00005692326,0.000061735955,0.00008116137,0.000012076431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034976238,0.0003373419,0.00036546073,0.00038565384,0.00028776677,0.00039096,0.00060578954,0.00059691194,0.0007823913],"category_scores_gemma":[0.0010559296,0.00025175358,0.00022561071,0.00040444385,0.0003888751,0.00067317893,0.00051205576,0.00078088517,0.00015473622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008802276,0.00008993176,0.0011281804,0.0001575945,0.00001939987,0.00010507953,0.00009250818,0.035138495,0.8765018,0.00584651,0.00022349917,0.080608934],"study_design_scores_gemma":[0.000023854696,0.00016252609,0.0011627092,0.000008137713,0.000010603279,0.00020752545,0.00002190943,0.49985698,0.49521652,0.0010058127,0.0022923243,0.000031052514],"about_ca_topic_score_codex":0.0009197964,"about_ca_topic_score_gemma":0.0013024359,"teacher_disagreement_score":0.0009197964,"about_ca_system_score_codex":0.00033597765,"about_ca_system_score_gemma":0.00068452844,"threshold_uncertainty_score":0.0026174188},"labels":[],"label_agreement":null},{"id":"W2100512658","doi":"10.3390/en3010001","title":"The Effect of Wind Power Installations on Coastal Tourism","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Offshore wind power; Shore; Wind power; Turbine; Submarine pipeline; Environmental science; Quarter (Canadian coin); Tourism; Marine engineering; Plage; Meteorology; Geography; Oceanography; Engineering; Geology; Archaeology","score_opus":0.004971760310411507,"score_gpt":0.2671488412848943,"score_spread":0.2621770809744828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100512658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986167,0.00003429482,0.00001979994,0.00007244119,0.0000028643424,0.0000033567621,0.00007743374,9.983327e-7,0.0011721521],"genre_scores_gemma":[0.9996431,0.00004172906,0.000027845304,0.000013384554,0.0000044908898,0.0000031850916,0.000057603564,6.663999e-7,0.00020793416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991922,0.00034262805,0.00006790544,0.00007824459,0.00017077742,0.00014829662],"domain_scores_gemma":[0.9947765,0.0014076686,0.002354905,0.00017955803,0.00047732826,0.0008040505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058625557,0.00012724163,0.00012222609,0.0005380712,0.00045218976,0.0006081953,0.00022771914,0.00033323746,0.003048329],"category_scores_gemma":[0.0035251381,0.0001460013,0.00034658966,0.00067033165,0.0004835148,0.0003339295,0.0006042263,0.00054947945,0.00024479325],"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":[0.000077392375,0.00008056042,0.99662507,0.000010236911,0.000031879266,0.00008974077,0.0002809334,0.00010829595,0.00017536391,0.000033504904,0.00011890853,0.0023680609],"study_design_scores_gemma":[0.0000011721794,0.000072456154,0.9989525,0.0000030191304,0.0000056417693,0.000033911136,0.00068759435,0.00006070832,0.000023114426,0.0000073375472,0.00015055216,0.0000020333023],"about_ca_topic_score_codex":0.013068214,"about_ca_topic_score_gemma":0.0434368,"teacher_disagreement_score":0.013068214,"about_ca_system_score_codex":0.0005723062,"about_ca_system_score_gemma":0.00030875872,"threshold_uncertainty_score":0.025984287},"labels":[],"label_agreement":null},{"id":"W2101972823","doi":"10.3390/en4111950","title":"Analysis of Injection and Production Data for Open and Large Reservoirs","year":2011,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Computer science; Decoupling (probability); Reservoir engineering; Production (economics); Reservoir modeling; Scheduling (production processes); Data mining; Petroleum engineering; Mathematical optimization; Geology; Petroleum; Mathematics; Engineering","score_opus":0.08780355781228567,"score_gpt":0.32418138856458983,"score_spread":0.23637783075230417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101972823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9231035,0.00017794878,0.0651316,0.0001780559,0.00003485083,0.00009812571,0.0071920813,0.001925999,0.002157825],"genre_scores_gemma":[0.97013164,0.00007840122,0.024092846,0.000011241359,0.000007763986,0.000069524045,0.0051024095,0.000092690905,0.00041342032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99943525,0.00009115125,0.00007087475,0.000091845395,0.00025100814,0.00005984473],"domain_scores_gemma":[0.9968773,0.0019292576,0.0002860922,0.00033191612,0.00049823994,0.00007722857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009480642,0.00045632265,0.00040565076,0.0017973584,0.00031290832,0.00056919025,0.0006087541,0.00048251433,0.0014697857],"category_scores_gemma":[0.0043255095,0.00029135897,0.00059913745,0.0031659428,0.00033661793,0.0010276213,0.00038857196,0.0004666029,0.00019563234],"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":[0.00060656905,0.00035548548,0.14331697,0.0003510502,0.00018009485,0.0012787351,0.00029208217,0.73494124,0.026549043,0.0057000504,0.0025292567,0.083899505],"study_design_scores_gemma":[0.00003166504,0.00005879777,0.042317417,0.000009209579,0.00002442781,0.00010465426,0.000089340785,0.93323296,0.019973593,0.0017621359,0.0023562158,0.00003946811],"about_ca_topic_score_codex":0.0053064083,"about_ca_topic_score_gemma":0.0060197627,"teacher_disagreement_score":0.0053064083,"about_ca_system_score_codex":0.0006291002,"about_ca_system_score_gemma":0.0006753622,"threshold_uncertainty_score":0.010551095},"labels":[],"label_agreement":null},{"id":"W2102839610","doi":"10.3390/en1010003","title":"Waste Cooking Oil as an Alternate Feedstock for Biodiesel Production","year":2008,"lang":"en","type":"article","venue":"Energies","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":559,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiesel; Flash point; Cetane number; Acid value; Pulp and paper industry; Raw material; Diesel fuel; Chemistry; Biodiesel production; Waste management; Pour point; Waste oil; Environmental science; Transesterification; Organic chemistry; Methanol; Catalysis; Engineering; Biochemistry","score_opus":0.026001738502561492,"score_gpt":0.2392010515302276,"score_spread":0.21319931302766612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102839610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631331,0.0047340263,0.022060256,0.00016517215,0.000115234434,0.000103301485,0.00072822697,0.00021288628,0.008747808],"genre_scores_gemma":[0.97111446,0.0042153667,0.0147068035,0.00004235805,0.000011883512,0.00003420401,0.0009107887,0.00006281254,0.00890124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983835,0.00001174453,0.000011447835,0.000020641406,0.000078070465,0.00003967414],"domain_scores_gemma":[0.99992716,0.000005607079,0.0000089504865,0.000007671514,0.00003216006,0.000018455381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015680687,0.0004342766,0.00022665663,0.0008387019,0.00023798423,0.00047570965,0.00029035815,0.00025332224,0.001132918],"category_scores_gemma":[0.0001169655,0.0001671976,0.00032254655,0.0007219906,0.000120883415,0.0004019488,0.00042743012,0.00038657954,0.0007108397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008719094,0.000033432967,0.00045809412,0.00013727018,0.000007292997,0.00026686612,0.000022421205,0.00024333615,0.9879418,0.00016516815,0.000060333285,0.010576832],"study_design_scores_gemma":[0.000004400887,0.000092290196,0.00093393767,0.000017132792,0.00001242126,0.0001351114,0.00003597177,0.0005130633,0.99496365,0.000049873033,0.003237052,0.0000050776653],"about_ca_topic_score_codex":0.0028355643,"about_ca_topic_score_gemma":0.009276507,"teacher_disagreement_score":0.0028355643,"about_ca_system_score_codex":0.0005278093,"about_ca_system_score_gemma":0.00035991278,"threshold_uncertainty_score":0.0056381226},"labels":[],"label_agreement":null},{"id":"W2102879186","doi":"10.3390/en8064827","title":"Ash Content and Calorific Energy of Corn Stover Components in Eastern Canada","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Stover; Corn stover; Crop residue; Agronomy; Heat of combustion; Husk; Biomass (ecology); Crop; Environmental science; Water content; Chemistry; Animal science; Combustion; Botany; Agriculture; Biology; Food science; Ecology","score_opus":0.08097280261504206,"score_gpt":0.19412165081297808,"score_spread":0.11314884819793602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102879186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995237,0.00024589302,0.000073337425,0.000017553139,0.0000015052641,0.0000066075604,0.0015284118,0.000007945938,0.0028817293],"genre_scores_gemma":[0.9932514,0.00029744144,0.00023973736,0.000018115932,7.509682e-7,0.0000035241258,0.0013797814,0.000008413056,0.0048008948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998073,0.0000041397752,0.000008759468,0.00003568953,0.00008734697,0.000056803674],"domain_scores_gemma":[0.99963343,0.000017451204,0.000026937754,0.000007606792,0.00024695403,0.00006762116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012716447,0.00022719712,0.00019601734,0.00152314,0.0020170491,0.000840826,0.0003884179,0.00014752345,0.0021492017],"category_scores_gemma":[0.00027061097,0.00017056853,0.0001695224,0.0027395282,0.00035296852,0.0001980631,0.0002410006,0.00018314293,0.00028063392],"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":[0.00045717726,0.00006730958,0.94466954,0.00007717125,0.000111418216,0.00050121156,0.0015642061,0.00065513916,0.021344643,0.0003667993,0.0009119557,0.029273475],"study_design_scores_gemma":[0.000001850937,0.00001037788,0.9969901,0.000006114792,0.000007339388,0.000046421585,0.00064737484,0.00021308665,0.00077824795,0.000014943763,0.0012790792,0.0000051432426],"about_ca_topic_score_codex":0.98549324,"about_ca_topic_score_gemma":0.99617416,"teacher_disagreement_score":0.014506757,"about_ca_system_score_codex":0.012448428,"about_ca_system_score_gemma":0.0057658367,"threshold_uncertainty_score":0.09032011},"labels":[],"label_agreement":null},{"id":"W2111312801","doi":"10.3390/en6115760","title":"Corn Stover and Wheat Straw Combustion in a 176-kW Boiler Adapted for Round Bales","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Natural Resources Canada; Agriculture and Agri-Food Canada","keywords":"Corn stover; Straw; Combustion; Heat of combustion; Animal science; Boiler (water heating); NOx; Stover; Environmental science; Barn; Thermal efficiency; Chemistry; Pulp and paper industry; Waste management; Biofuel; Agronomy; Engineering; Crop","score_opus":0.009407689207081986,"score_gpt":0.19512091398416828,"score_spread":0.1857132247770863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111312801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992957,0.0000118342705,0.00028631947,0.0000025817492,0.000003623247,0.000052379193,0.000102600534,0.000011605697,0.00023338315],"genre_scores_gemma":[0.99473614,0.000059055656,0.0030390278,0.000011694475,0.000003770358,0.00012838193,0.0004476824,0.000020178972,0.0015541468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997031,0.000036874295,0.000023891374,0.00009049651,0.00009253838,0.000053208372],"domain_scores_gemma":[0.99977,0.000046503545,0.000024283032,0.00003567149,0.00006282145,0.0000607262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006272882,0.0007766863,0.00071181415,0.0004860603,0.0008955926,0.00034608215,0.0007615729,0.00042747456,0.0020051817],"category_scores_gemma":[0.0004629927,0.0004244848,0.00035573996,0.00056239543,0.00041204997,0.00037351047,0.000406937,0.00048158842,0.00038107045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009014949,0.0017591186,0.011416364,0.000261418,0.000056630317,0.00020620394,0.00014297951,0.014191321,0.9558688,0.00013976933,0.00013012797,0.0068123564],"study_design_scores_gemma":[0.0009948941,0.011048255,0.064406715,0.000016701253,0.00011010881,0.0001480364,0.00013426677,0.016770387,0.9045437,0.00009165922,0.0016776042,0.00005763968],"about_ca_topic_score_codex":0.010053384,"about_ca_topic_score_gemma":0.017067052,"teacher_disagreement_score":0.010053384,"about_ca_system_score_codex":0.00083699345,"about_ca_system_score_gemma":0.0007388861,"threshold_uncertainty_score":0.019989729},"labels":[],"label_agreement":null},{"id":"W2111952307","doi":"10.3390/en8053739","title":"Co-Production of Olefins, Fuels, and Electricity from Conventional Pipeline Gas and Shale Gas with Near-Zero CO2 Emissions. Part I: Process Development and Technical Performance","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Natural gas; Dimethyl ether; Naphtha; Electricity; Olefin fiber; Process engineering; Petroleum engineering; Electricity generation; Zero emission; Methanol; Shale gas; Process (computing); Waste management; Natural-gas processing; Cracking; Pipeline (software); Environmental science; Engineering; Oil shale; Chemistry; Power (physics); Computer science; Organic chemistry; Mechanical engineering; Electrical engineering","score_opus":0.013545383363254527,"score_gpt":0.21603152117688787,"score_spread":0.20248613781363334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111952307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829978,0.0012248504,0.012450257,0.000025816704,0.000011789734,0.000043213073,0.00014867229,0.000071775394,0.003025942],"genre_scores_gemma":[0.9917755,0.000598782,0.0058976864,0.000007106312,0.0000044845797,0.000014762316,0.00028245314,0.000016253593,0.0014028668],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998154,0.000017321836,0.000008392229,0.00004068049,0.00009302404,0.000025358244],"domain_scores_gemma":[0.9999151,0.000015602936,0.000028126697,0.000015362295,0.000015560216,0.000010112516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002214831,0.00035434734,0.00022675305,0.0003843395,0.00018188906,0.00033851716,0.00025922348,0.00025187674,0.0008863056],"category_scores_gemma":[0.0002316778,0.00008653512,0.00024232431,0.00035852208,0.00016613286,0.000621817,0.00043496414,0.00025346794,0.00026596972],"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":[0.00016350686,0.00007933611,0.0015276655,0.00012253576,0.000014726708,0.00009206036,0.0000141691835,0.0008280232,0.9804685,0.0002432519,0.000052882966,0.016393328],"study_design_scores_gemma":[0.000005320122,0.0004105818,0.004328278,0.000003282274,0.000015128902,0.00015456282,0.000011958067,0.0017317637,0.99183965,0.0000690905,0.0014269553,0.0000034091472],"about_ca_topic_score_codex":0.00037812642,"about_ca_topic_score_gemma":0.0012584319,"teacher_disagreement_score":0.0008863056,"about_ca_system_score_codex":0.0003301008,"about_ca_system_score_gemma":0.00027271462,"threshold_uncertainty_score":0.0029649138},"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":"high"}],"label_agreement":"agree"},{"id":"W2112035189","doi":"10.3390/en8053978","title":"Multi-Period Optimization Model for Electricity Generation Planning Considering Plug-in Hybrid Electric Vehicle Penetration","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"Natural Resources Canada","keywords":"Electricity; Electricity generation; Capital cost; Penetration (warfare); Automotive engineering; Environmental economics; Coal; Environmental science; Engineering; Waste management; Operations research; Power (physics); Electrical engineering; Economics","score_opus":0.03284576728594308,"score_gpt":0.23975108550734175,"score_spread":0.20690531822139868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112035189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2065685,0.0036337443,0.68850696,0.0025479202,0.00044516407,0.00059075304,0.0056494395,0.00064020103,0.09141737],"genre_scores_gemma":[0.93100995,0.001099731,0.034665864,0.0001687694,0.000060935825,0.00065511686,0.0013911146,0.000078135694,0.030870453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949205,0.00021197517,0.000018066235,0.00008429554,0.0000765329,0.00011709016],"domain_scores_gemma":[0.9990982,0.0005859919,0.0000928139,0.00001841323,0.00013825511,0.00006632427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010330825,0.0012795043,0.0013023857,0.00071656215,0.0006886803,0.0018463755,0.0017951508,0.0021140259,0.006984108],"category_scores_gemma":[0.0018758427,0.0012064294,0.0011639865,0.0012476548,0.00068407453,0.00076253474,0.00090358837,0.0017645311,0.0005091361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024466906,0.000009002349,0.00020894044,0.00002071841,0.000015097219,0.00005787703,0.0000124599765,0.996795,0.000064966865,0.0017021814,0.00026364805,0.0008255307],"study_design_scores_gemma":[0.000011547308,0.000012663079,0.00019369653,0.000006533388,0.000010483755,0.0000069895364,0.000018606246,0.99851185,0.00003123064,0.0007357064,0.00045592504,0.000004794703],"about_ca_topic_score_codex":0.075523876,"about_ca_topic_score_gemma":0.06605478,"teacher_disagreement_score":0.075523876,"about_ca_system_score_codex":0.0027287158,"about_ca_system_score_gemma":0.0030651458,"threshold_uncertainty_score":0.1501686},"labels":[],"label_agreement":null},{"id":"W2112625730","doi":"10.3390/en6126211","title":"Rapid Biogas Production by Compact Multi-Layer Membrane Bioreactor: Efficiency of Synthetic Polymeric Membranes","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Vetenskapsrådet; European Commission","keywords":"Membrane; Bioreactor; Biogas; Chemical engineering; Polyvinylidene fluoride; Membrane bioreactor; Polyamide; Chemistry; Chromatography; Membrane reactor; Hydraulic retention time; Materials science; Waste management; Wastewater; Biochemistry; Organic chemistry","score_opus":0.015337479769753208,"score_gpt":0.21777737261054222,"score_spread":0.202439892840789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112625730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912683,0.000970644,0.007307118,0.000036336325,0.000016709058,0.000017837594,0.00007557887,0.00009050681,0.00021707853],"genre_scores_gemma":[0.9864015,0.0006654978,0.01205293,0.0000150022515,0.000010920533,0.00003387994,0.00014291576,0.000018739676,0.0006585152],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968076,0.00005931944,0.000040105406,0.00007925036,0.00009324323,0.000047340513],"domain_scores_gemma":[0.99982005,0.00004250251,0.00006487303,0.000019458475,0.00002711112,0.000026102438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591676,0.00067841157,0.0008042568,0.00032124325,0.00017293083,0.00045681966,0.00042311146,0.0006974669,0.00031566524],"category_scores_gemma":[0.00030299622,0.00019703485,0.00053444825,0.00029068196,0.00017041816,0.0007403966,0.00051582983,0.000504661,0.00018806657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000473059,0.000016394211,0.00003567096,0.000026526212,0.0000027535125,0.000011148366,0.000004782426,0.00010093696,0.99904794,0.000014080415,0.0000041852645,0.0006882571],"study_design_scores_gemma":[0.0000061640094,0.00021156095,0.0003822387,0.0000035823125,0.000010235039,0.00005574683,0.0000058847127,0.0013247887,0.9977816,0.0000067558053,0.00020760714,0.00000390062],"about_ca_topic_score_codex":0.0005229586,"about_ca_topic_score_gemma":0.00054192246,"teacher_disagreement_score":0.0008042568,"about_ca_system_score_codex":0.00037240578,"about_ca_system_score_gemma":0.00021307296,"threshold_uncertainty_score":0.0029571652},"labels":[],"label_agreement":null},{"id":"W2119482414","doi":"10.3390/en3121934","title":"Perspectives on Hydrate Thermal Conductivity","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"European Social Fund; Science Foundation Ireland; Royal Irish Academy","keywords":"Clathrate hydrate; Thermal conductivity; Thermal conduction; Hydrate; Thermal; Materials science; Thermodynamics; Chemistry; Physics","score_opus":0.007180824843740179,"score_gpt":0.21351712168280323,"score_spread":0.20633629683906304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119482414","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":[0.0067721345,0.9226526,0.011145241,0.031298015,0.002468063,0.000011687342,0.00011952394,0.000119617194,0.025413182],"genre_scores_gemma":[0.06371463,0.91727346,0.0035811176,0.005910623,0.004102674,0.000048519658,0.00013873825,0.00004457882,0.005185657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961805,0.00009488737,0.00001803952,0.00008252115,0.00010672076,0.000079690246],"domain_scores_gemma":[0.99935406,0.00039572263,0.000033800916,0.00003698269,0.000112817135,0.00006657297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001717101,0.00095712935,0.0016519711,0.00078081636,0.0007537607,0.0020031235,0.0018429164,0.0028980414,0.0065011675],"category_scores_gemma":[0.0010292738,0.00034584486,0.00088189763,0.0007047266,0.0026828847,0.006820908,0.0018833803,0.004291581,0.0017625098],"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":[0.0003233028,0.00019324273,0.00081801694,0.009716749,0.00014625507,0.0013724798,0.00066391006,0.008399123,0.047753114,0.74054396,0.026118012,0.16395192],"study_design_scores_gemma":[0.000021097516,0.00033956306,0.0005778366,0.0010309808,0.00004657858,0.00080073025,0.00063161406,0.0032225389,0.012897543,0.53147924,0.44887096,0.00008139176],"about_ca_topic_score_codex":0.0007307614,"about_ca_topic_score_gemma":0.0008160033,"teacher_disagreement_score":0.0065011675,"about_ca_system_score_codex":0.0010701341,"about_ca_system_score_gemma":0.0009407704,"threshold_uncertainty_score":0.021748602},"labels":[],"label_agreement":null},{"id":"W2120674393","doi":"10.3390/en7042595","title":"Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":588,"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; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind power; Turbine; Reliability (semiconductor); Risk analysis (engineering); Work (physics); Condition monitoring; Computer science; Strengths and weaknesses; Condition-based maintenance; Engineering; Operations research; Systems engineering; Reliability engineering; Business; Mechanical engineering","score_opus":0.008611066938711292,"score_gpt":0.2551739368925926,"score_spread":0.2465628699538813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120674393","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":[0.0007897164,0.9958211,0.0015496241,0.00071061874,0.0001828914,0.000008652531,0.000023389299,0.000020345911,0.00089352496],"genre_scores_gemma":[0.006717511,0.9891794,0.0027355503,0.00032866935,0.00055160886,0.000012921071,0.000069753994,0.0000065069453,0.00039811057],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998993,0.00016798663,0.00020298432,0.00019731469,0.0003930633,0.00004573155],"domain_scores_gemma":[0.99393976,0.0039142543,0.00063168374,0.00011549842,0.001290925,0.00010794689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024304746,0.0005952133,0.0011765939,0.0032463663,0.00028794326,0.0018684275,0.0012497499,0.0013093855,0.0014518644],"category_scores_gemma":[0.0036548006,0.0003306069,0.0006477748,0.0042533204,0.000661219,0.0031012902,0.0005264613,0.00097518874,0.0008097076],"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":[0.00007137856,0.000077689045,0.0015392948,0.012167799,0.000081293285,0.00016163079,0.00013985563,0.0007040318,0.0018782581,0.002509185,0.008539792,0.9721299],"study_design_scores_gemma":[0.000031746516,0.00067296566,0.010103659,0.021143923,0.000726267,0.0046549556,0.0011137032,0.0040516285,0.0061695613,0.0078120055,0.9433405,0.00017908965],"about_ca_topic_score_codex":0.0011502156,"about_ca_topic_score_gemma":0.002048782,"teacher_disagreement_score":0.0032463663,"about_ca_system_score_codex":0.00061697717,"about_ca_system_score_gemma":0.0012884346,"threshold_uncertainty_score":0.012853682},"labels":[],"label_agreement":null},{"id":"W2121166398","doi":"10.3390/en8076738","title":"Models of Talik, Permafrost and Gas Hydrate Histories—Beaufort Mackenzie Basin, Canada","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"CMC Research Institutes","funders":"","keywords":"Permafrost; Lithology; Beaufort scale; Geology; Clathrate hydrate; Beaufort sea; Geomorphology; Thermokarst; Structural basin; Geochemistry; Hydrate; Oceanography; Arctic","score_opus":0.014120350971007665,"score_gpt":0.1896650601803433,"score_spread":0.17554470920933563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121166398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711049,0.00035926714,0.0032570122,0.0007282421,0.000020394731,0.000054786058,0.0038181292,0.00015783132,0.020499345],"genre_scores_gemma":[0.9906301,0.0002266141,0.0012622059,0.00005356446,0.000005252259,0.000038179947,0.0012537069,0.00003238455,0.0064979955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998838,0.000016874195,0.000004682864,0.000032317956,0.000017383625,0.00004497468],"domain_scores_gemma":[0.99957424,0.00010578639,0.000044267126,0.00002018886,0.00015507727,0.000100487676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022481834,0.0005630801,0.00044143153,0.0006633464,0.0016679268,0.001445225,0.0025332358,0.0012318833,0.0034082686],"category_scores_gemma":[0.0011750355,0.0005212898,0.0007127173,0.0009827482,0.0012017196,0.0006661679,0.0006543342,0.00065666565,0.00027587],"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":[0.00008288838,0.000023698802,0.012356559,0.00001992902,0.000031174073,0.000087807704,0.000072883566,0.9828804,0.00041519292,0.0020362313,0.0009031161,0.001090122],"study_design_scores_gemma":[0.00005366198,0.00001672422,0.00830415,0.0000126941495,0.000021681379,0.000027043712,0.0001608341,0.9890577,0.0001512631,0.0007241771,0.001448053,0.00002195713],"about_ca_topic_score_codex":0.96892583,"about_ca_topic_score_gemma":0.9468748,"teacher_disagreement_score":0.031074166,"about_ca_system_score_codex":0.014155041,"about_ca_system_score_gemma":0.009561137,"threshold_uncertainty_score":0.1027025},"labels":[],"label_agreement":null},{"id":"W2122108211","doi":"10.3390/en3050989","title":"CFD in Wind Energy: The Virtual, Multiscale Wind Tunnel","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Wind power; Reynolds-averaged Navier–Stokes equations; Wind tunnel; Marine engineering; Airfoil; Flow (mathematics); Environmental science; Scale (ratio); Aerospace engineering; Meteorology; Computer science; Engineering; Mechanics; Physics; Electrical engineering","score_opus":0.005802531914514443,"score_gpt":0.19806668544241743,"score_spread":0.192264153527903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122108211","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023738094,0.020388052,0.9042125,0.002890659,0.0023037808,0.00013998973,0.0006573383,0.0025668992,0.043102715],"genre_scores_gemma":[0.48125854,0.021357646,0.46972242,0.0008200501,0.0012167105,0.00030318208,0.0010064173,0.00090542965,0.023409542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995585,0.00013274669,0.00002117493,0.000045230478,0.00021926653,0.000022982626],"domain_scores_gemma":[0.9997129,0.0000813568,0.000018139604,0.00006204031,0.0000731718,0.00005245811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010399078,0.0003701072,0.0005013941,0.0006475748,0.00043525695,0.0014841874,0.00056467147,0.0008195193,0.0032310516],"category_scores_gemma":[0.001377768,0.00034925842,0.0003173974,0.0007920253,0.0011058932,0.0016858235,0.0016756506,0.0008763711,0.0009211992],"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":[0.00020166027,0.00013138719,0.0028419446,0.00058943126,0.00005196419,0.000613429,0.0003178924,0.19212393,0.020595737,0.38378537,0.03595696,0.3627903],"study_design_scores_gemma":[0.00009569242,0.00016189675,0.00225007,0.00037917172,0.000028253737,0.0009996793,0.00014613594,0.59856594,0.0075770733,0.12540874,0.26426846,0.00011895823],"about_ca_topic_score_codex":0.0008154989,"about_ca_topic_score_gemma":0.00082875486,"teacher_disagreement_score":0.0032310516,"about_ca_system_score_codex":0.00027557716,"about_ca_system_score_gemma":0.00068999914,"threshold_uncertainty_score":0.010808945},"labels":[],"label_agreement":null},{"id":"W2122127672","doi":"10.3390/en4101624","title":"A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty","year":2011,"lang":"en","type":"review","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Greenhouse gas; Risk analysis (engineering); Reliability (semiconductor); Uncertainty analysis; Energy (signal processing); Computer science; Management science; Systems engineering; Operations research; Engineering; Business; Simulation","score_opus":0.052725972291663384,"score_gpt":0.2816286367732096,"score_spread":0.22890266448154623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122127672","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":[0.00045124645,0.9735865,0.01695763,0.0006451668,0.0003476954,0.000019227298,0.00008795074,0.00004751011,0.007857125],"genre_scores_gemma":[0.0031598164,0.9903258,0.0050122067,0.00011022213,0.00021712834,0.000019451336,0.000079577476,0.000009915234,0.0010657823],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99949896,0.00013244478,0.000056295685,0.00007215589,0.00021651729,0.000023640474],"domain_scores_gemma":[0.9991441,0.00053732994,0.000085725864,0.000032811957,0.0001832399,0.00001679823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007553264,0.0015537706,0.0016705387,0.0020124833,0.00035412645,0.0012721355,0.001312804,0.0013429999,0.0036270372],"category_scores_gemma":[0.0014966974,0.0006084986,0.00097124936,0.005597975,0.00045546243,0.0016766567,0.0005174557,0.0011086653,0.0017019657],"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":[0.000042052663,0.00008838771,0.00042834523,0.024814345,0.00026796444,0.00033279927,0.00014503278,0.040380377,0.0016710622,0.058068965,0.04328749,0.8304732],"study_design_scores_gemma":[0.000013484383,0.00008794005,0.00095235964,0.008134839,0.0002556836,0.00071326265,0.000111645044,0.009989103,0.0010260829,0.030942263,0.94770557,0.000067806744],"about_ca_topic_score_codex":0.003947557,"about_ca_topic_score_gemma":0.0044145207,"teacher_disagreement_score":0.003947557,"about_ca_system_score_codex":0.0008481588,"about_ca_system_score_gemma":0.002378978,"threshold_uncertainty_score":0.012133658},"labels":[],"label_agreement":null},{"id":"W2123686872","doi":"10.3390/en4010090","title":"Scale Effects on Solid Rocket Combustion Instability Behaviour","year":2011,"lang":"en","type":"article","venue":"Energies","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Propellant; Solid-fuel rocket; Combustion; Mechanics; Instability; Transient (computer programming); Rocket (weapon); Internal flow; Aerospace engineering; Internal pressure; Materials science; Flow (mathematics); Engineering; Physics; Chemistry; Computer science; Composite material","score_opus":0.025057025763180273,"score_gpt":0.2533255454654947,"score_spread":0.2282685197023144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123686872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99203694,0.000141995,0.0059705954,0.000023520415,0.000005593615,0.00000812385,0.00003838945,0.00014151535,0.0016332478],"genre_scores_gemma":[0.99956506,0.000030877996,0.00022770034,0.0000022650459,9.697718e-7,0.0000017426968,0.000013859483,0.0000116098,0.00014593822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999212,0.000009973757,0.0000045078928,0.000013790259,0.000036365876,0.000014107757],"domain_scores_gemma":[0.99934834,0.00039198215,0.00011435641,0.00004608684,0.000071246104,0.000028028973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013193702,0.00019087485,0.00016532725,0.00019192017,0.0001301627,0.00029705281,0.0001186183,0.00017481281,0.001324659],"category_scores_gemma":[0.0016665458,0.00012238878,0.00016376487,0.00010258011,0.0002251118,0.00032354073,0.00025111806,0.00017049976,0.00019037702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082830933,0.00007245124,0.018738959,0.00016433145,0.00003356989,0.0006889441,0.00021971343,0.11795427,0.83972824,0.00090776983,0.00022912804,0.020434273],"study_design_scores_gemma":[0.000042545213,0.0009884165,0.083523914,0.000017494991,0.000060034195,0.0003830859,0.00017306948,0.41463488,0.4983432,0.00078206894,0.0009923726,0.00005889375],"about_ca_topic_score_codex":0.0008283704,"about_ca_topic_score_gemma":0.0008450075,"teacher_disagreement_score":0.001324659,"about_ca_system_score_codex":0.00015404841,"about_ca_system_score_gemma":0.00010257003,"threshold_uncertainty_score":0.0044314265},"labels":[],"label_agreement":null},{"id":"W2132095554","doi":"10.3390/en7042535","title":"Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks","year":2014,"lang":"en","type":"article","venue":"Energies","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Subcarrier; Transmitter; Computer science; Interference (communication); Fractional programming; Orthogonal frequency-division multiplexing; Mathematical optimization; Channel (broadcasting); Channel state information; Telecommunications; Electronic engineering; Mathematics; Nonlinear programming; Wireless; Engineering; Physics","score_opus":0.019934196366479785,"score_gpt":0.2337977771780427,"score_spread":0.21386358081156293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132095554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021828631,0.00026768562,0.9728089,0.0001979279,0.00002272931,0.000017989712,0.000025756959,0.00007801545,0.0047524036],"genre_scores_gemma":[0.9557338,0.0006585411,0.037821453,0.000105395724,0.00003607353,0.000088643654,0.000035697627,0.000046177265,0.005474216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996014,0.00014314517,0.000008720527,0.00004825336,0.00011216675,0.00008630894],"domain_scores_gemma":[0.99934286,0.0004305588,0.000095494455,0.000028458835,0.00007915409,0.000023497816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086205645,0.00082732906,0.000942863,0.00048254282,0.00043861987,0.0010041728,0.0011212074,0.0007888727,0.0014763437],"category_scores_gemma":[0.0018965104,0.00045071176,0.0006006692,0.0008084017,0.0011454626,0.0010219392,0.0007221476,0.0008678429,0.00021445913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001850111,0.00002091165,0.0001105218,0.000020598423,0.000010265063,0.000044832144,0.000029528343,0.9753034,0.00071955443,0.020549774,0.00024267045,0.002929379],"study_design_scores_gemma":[0.0000016550424,0.000006151557,0.00001788421,0.0000014480637,0.0000021653095,0.000006790075,0.0000041502503,0.99692035,0.00008770806,0.0028770452,0.00007265722,0.000001974476],"about_ca_topic_score_codex":0.0037073905,"about_ca_topic_score_gemma":0.003155836,"teacher_disagreement_score":0.0037073905,"about_ca_system_score_codex":0.0012171796,"about_ca_system_score_gemma":0.0008541454,"threshold_uncertainty_score":0.008831322},"labels":[],"label_agreement":null},{"id":"W2133056170","doi":"10.3390/en4111973","title":"A Computer Program for Modeling the Conversion of Organic Waste to Energy","year":2011,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Digestate; Waste management; Anaerobic digestion; Effluent; Biodegradable waste; Environmental science; Waste treatment; Municipal solid waste; Energy recovery; Process engineering; Engineering; Chemistry; Methane; Energy (signal processing)","score_opus":0.014592562261425444,"score_gpt":0.198054745418471,"score_spread":0.18346218315704557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133056170","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012836924,0.00019251097,0.95714015,0.00013936972,0.00009328285,0.00021423682,0.0020058725,0.012961093,0.014416578],"genre_scores_gemma":[0.18396662,0.0006933901,0.7889822,0.00012242122,0.00005516109,0.0016589641,0.0038059487,0.001570979,0.019144265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998461,0.00004023863,0.000011714866,0.000029922778,0.000055893935,0.000016104732],"domain_scores_gemma":[0.9996062,0.00022208848,0.000022090124,0.000039214294,0.00009228627,0.00001823646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045745567,0.00079764385,0.0005260108,0.000428577,0.00059910945,0.0006871484,0.0013636189,0.00094748766,0.0152132055],"category_scores_gemma":[0.0011757128,0.0004486587,0.000733164,0.00069124764,0.00030188178,0.0009089833,0.00046646263,0.0010302219,0.0023376246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016969146,0.00012029083,0.0013512523,0.0003347105,0.00008588185,0.0001942278,0.00015061123,0.85927916,0.0062837875,0.036984608,0.014236407,0.08080931],"study_design_scores_gemma":[0.000038078615,0.000030946274,0.00016070348,0.000021541662,0.000018431712,0.000040833034,0.000009864457,0.9682723,0.0019673444,0.0050669066,0.024362955,0.000010092225],"about_ca_topic_score_codex":0.007594045,"about_ca_topic_score_gemma":0.005427399,"teacher_disagreement_score":0.0152132055,"about_ca_system_score_codex":0.0004989447,"about_ca_system_score_gemma":0.0008959805,"threshold_uncertainty_score":0.050893188},"labels":[],"label_agreement":null},{"id":"W2141969363","doi":"10.3390/en81112330","title":"Effect of Magnesium Fluoride on Hydrogenation Properties of Magnesium Hydride","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Hydrogen storage; Magnesium hydride; Magnesium; Hydride; Desorption; Catalysis; Ball mill; Materials science; Hydrogen; Sorption; Inorganic chemistry; Fluoride; Absorption (acoustics); Metal; Chemical engineering; Chemistry; Adsorption; Metallurgy; Physical chemistry; Organic chemistry; Composite material","score_opus":0.01829949407668693,"score_gpt":0.23953472003894255,"score_spread":0.22123522596225562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141969363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985489,0.0005804648,0.0001625081,0.000023748935,0.0000090739895,0.0000043433547,0.00007664255,0.000012225138,0.00058208796],"genre_scores_gemma":[0.9992613,0.00020738629,0.00018510802,0.000008789989,0.000004338068,0.0000027318056,0.000063861466,0.0000050971325,0.00026149288],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989486,0.000014094717,0.000009577048,0.000020318508,0.000030558822,0.000030657306],"domain_scores_gemma":[0.99989545,0.000038016657,0.000024793957,0.000008873695,0.000021006408,0.000011834701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015283258,0.00023192489,0.00019547199,0.00015828312,0.00014299102,0.00022040578,0.00023511318,0.0002138537,0.00102331],"category_scores_gemma":[0.00035056355,0.00012539729,0.00016163965,0.0001498014,0.00012561462,0.00018273667,0.000106864834,0.00018493616,0.00015473887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003731586,0.000015766269,0.00058012985,0.00007740813,0.000013495101,0.000079963866,0.000029051063,0.00011612648,0.9962121,0.000045806104,0.000043070886,0.0024138882],"study_design_scores_gemma":[0.000005030123,0.0001585887,0.0016434214,0.0000025306026,0.000008879749,0.000035218258,0.000010832806,0.0002790409,0.9974089,0.000006255016,0.00043818486,0.0000031613988],"about_ca_topic_score_codex":0.0012342563,"about_ca_topic_score_gemma":0.0017847602,"teacher_disagreement_score":0.0012342563,"about_ca_system_score_codex":0.00016875507,"about_ca_system_score_gemma":0.00010287291,"threshold_uncertainty_score":0.0034233332},"labels":[],"label_agreement":null},{"id":"W2145181434","doi":"10.3390/en81112331","title":"Modelling Underground Coal Gasification—A Review","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Underground coal gasification; Process (computing); Engineering; Coal; Computer science; Coal gasification; Waste management","score_opus":0.07939670708444548,"score_gpt":0.2507886951819649,"score_spread":0.17139198809751943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145181434","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":[0.0060650497,0.8988731,0.08045582,0.00055558473,0.00046654156,0.000053141797,0.0003902711,0.00022891897,0.012911648],"genre_scores_gemma":[0.039221264,0.9358396,0.02014498,0.00010536726,0.00031371738,0.00007598241,0.00055513316,0.00006817674,0.003675747],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997588,0.000053681797,0.00003383267,0.000047366702,0.000086280954,0.000019988269],"domain_scores_gemma":[0.99972683,0.0001377644,0.000029848927,0.000016797021,0.00007843884,0.00001040743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044846992,0.0013910652,0.0014667286,0.0013627931,0.00028641056,0.0014107923,0.0016784007,0.0013265819,0.0020536566],"category_scores_gemma":[0.0007087725,0.0005281073,0.0013084374,0.0025252863,0.00035936318,0.0015874986,0.0006955638,0.0006619236,0.0014087585],"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":[0.00007029293,0.00017598366,0.001973139,0.017710045,0.00029639137,0.0005275742,0.0001927977,0.35995162,0.005010834,0.03947147,0.013513331,0.5611066],"study_design_scores_gemma":[0.000028453169,0.0002584064,0.002295297,0.0068309233,0.00042507,0.0011681067,0.00038821963,0.31877357,0.006954722,0.03770186,0.62502706,0.00014832849],"about_ca_topic_score_codex":0.0042134267,"about_ca_topic_score_gemma":0.0028522995,"teacher_disagreement_score":0.0042134267,"about_ca_system_score_codex":0.00053089345,"about_ca_system_score_gemma":0.001114349,"threshold_uncertainty_score":0.00837779},"labels":[],"label_agreement":null},{"id":"W2148726453","doi":"10.3390/en8087729","title":"Stability Analysis for Li-Ion Battery Model Parameters and State of Charge Estimation by Measurement Uncertainty Consideration","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National High-tech Research and Development Program; Canada Excellence Research Chairs, Government of Canada","keywords":"Control theory (sociology); Parametric statistics; Voltage; Sampling (signal processing); Battery (electricity); Kalman filter; State of charge; Stability (learning theory); Estimation theory; Observational error; Statistics; Algorithm; Mathematics; Computer science; Engineering; Filter (signal processing); Electrical engineering; Physics","score_opus":0.0765553370571879,"score_gpt":0.2787191783751227,"score_spread":0.20216384131793483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148726453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09936307,0.00071783713,0.89414155,0.00025922677,0.00004657624,0.000045128556,0.00010661468,0.00043379518,0.004886229],"genre_scores_gemma":[0.9899266,0.0002776087,0.008550639,0.000026731874,0.0000147376195,0.00005845012,0.00011360716,0.000043686243,0.0009879218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991918,0.00017704364,0.000043560372,0.00019031361,0.0003252287,0.00007210888],"domain_scores_gemma":[0.99834394,0.00079543644,0.00019125846,0.00014936319,0.00050317333,0.000016794867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012524406,0.0006874783,0.0005350291,0.0006216194,0.00048401539,0.00076492847,0.00056714,0.0005480183,0.00097419234],"category_scores_gemma":[0.006141342,0.00027422004,0.0008274604,0.00044870982,0.0005769138,0.001118443,0.00086076406,0.00075187464,0.00017396962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015835204,0.000027637938,0.004652071,0.00018947774,0.00008192889,0.00019265166,0.00026831572,0.9362216,0.0117931655,0.009999584,0.0005022519,0.035912935],"study_design_scores_gemma":[0.0000027885446,0.000020959409,0.001076776,0.000008617374,0.00001445487,0.000029465475,0.000025363935,0.9946061,0.0025374861,0.0013319316,0.00033401354,0.000012020961],"about_ca_topic_score_codex":0.009613996,"about_ca_topic_score_gemma":0.0037959935,"teacher_disagreement_score":0.009613996,"about_ca_system_score_codex":0.00071412296,"about_ca_system_score_gemma":0.0009651608,"threshold_uncertainty_score":0.019116044},"labels":[],"label_agreement":null},{"id":"W2149073930","doi":"10.3390/en8087690","title":"Measurement of the Relative Free Radical Content of Insulating Oils of Petroleum Origin","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Radical; Chemistry; Reagent; Transformer oil; Degradation (telecommunications); Organic chemistry; Petroleum; Petroleum product; Chemical reaction; Chemical engineering; Transformer; Voltage","score_opus":0.05086424191132825,"score_gpt":0.222852786863407,"score_spread":0.17198854495207877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149073930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600486,0.0073240413,0.030479327,0.000056144207,0.0001343139,0.000064129206,0.00021012746,0.00011749977,0.001565695],"genre_scores_gemma":[0.96842223,0.0041553,0.02416488,0.00004245892,0.000031907464,0.000049941555,0.00022939268,0.000027554632,0.0028763262],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966204,0.00005885144,0.000021391757,0.000076516735,0.00014698155,0.00003416229],"domain_scores_gemma":[0.9995945,0.00010214133,0.000115901785,0.000036623085,0.00012014857,0.00003068969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038812438,0.0003329215,0.00023408227,0.0010079334,0.00020925248,0.00032762086,0.00029387142,0.00041254263,0.00077764643],"category_scores_gemma":[0.0006215166,0.00009910773,0.00015849757,0.00034629158,0.00022786335,0.00047171902,0.00023783883,0.00040960885,0.0002356972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000619729,0.000021779219,0.0011411717,0.00007327739,0.000009336517,0.0000409891,0.00004613854,0.000031908676,0.99210256,0.000060547987,0.000014067918,0.0063962955],"study_design_scores_gemma":[0.0000015302165,0.00016228366,0.0027598408,0.000005748426,0.000014677804,0.00010420611,0.000043392905,0.00018099407,0.9959733,0.00003856958,0.00071008096,0.0000053229187],"about_ca_topic_score_codex":0.00028332122,"about_ca_topic_score_gemma":0.00055133185,"teacher_disagreement_score":0.0010079334,"about_ca_system_score_codex":0.00017882511,"about_ca_system_score_gemma":0.00016577334,"threshold_uncertainty_score":0.0026014447},"labels":[],"label_agreement":null},{"id":"W2149635139","doi":"10.3390/en3010057","title":"Single-Chamber Solid Oxide Fuel Cell Technology—From Its Origins to Today’s State of the Art","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Anode; Cathode; Open-circuit voltage; Solid oxide fuel cell; Materials science; Oxide; Electrode; Cathodic protection; Electrical engineering; Fuel cells; Partial pressure; Voltage; Oxygen; Optoelectronics; Chemical engineering; Nanotechnology; Chemistry; Engineering; Metallurgy","score_opus":0.01085575094241429,"score_gpt":0.24744029463725362,"score_spread":0.23658454369483933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149635139","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":[0.061697043,0.8456902,0.046717986,0.0028564436,0.0013324183,0.00005550345,0.00035897104,0.00030318034,0.040988266],"genre_scores_gemma":[0.30481336,0.63791454,0.037017122,0.00062211906,0.000978177,0.00004454775,0.00047686632,0.000061669314,0.018071562],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999718,0.000018873276,0.000013368998,0.000056920497,0.00017002918,0.0000227395],"domain_scores_gemma":[0.9998783,0.000029984385,0.000011081894,0.000011245807,0.000059781967,0.0000094962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039322063,0.00026765603,0.00050012156,0.00057919504,0.0003482236,0.0016101443,0.0008202298,0.0007880868,0.0015052597],"category_scores_gemma":[0.00026411292,0.00017056365,0.00023179779,0.0010493906,0.00051788497,0.0020781653,0.0004350676,0.00059462956,0.0009387048],"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":[0.00022588625,0.00011058346,0.0014200611,0.0033489002,0.000056450717,0.00027161933,0.00018420936,0.0028809726,0.116407014,0.06272087,0.00952012,0.8028533],"study_design_scores_gemma":[0.000013062718,0.00029095434,0.0011706187,0.00047328896,0.000054388565,0.0015289091,0.00021017299,0.0075204824,0.17458822,0.017337024,0.7967453,0.00006747575],"about_ca_topic_score_codex":0.00064091134,"about_ca_topic_score_gemma":0.0008280421,"teacher_disagreement_score":0.0016101443,"about_ca_system_score_codex":0.00063782494,"about_ca_system_score_gemma":0.0005086108,"threshold_uncertainty_score":0.005035579},"labels":[],"label_agreement":null},{"id":"W2155611933","doi":"10.3390/en8021195","title":"Numerical Evaluation of the Use of Aluminum Particles for Enhancing Solid Rocket Motor Combustion Stability","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Propellant; Solid-fuel rocket; Combustion; Mechanics; Rocket (weapon); Materials science; Internal flow; Transient (computer programming); Instability; Solid fuel; Particle (ecology); Chamber pressure; Flow (mathematics); Aerospace engineering; Chemistry; Physics; Engineering; Geology","score_opus":0.20694164994955488,"score_gpt":0.3360258584657945,"score_spread":0.12908420851623964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155611933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97836053,0.00009447777,0.017560242,0.00003752719,0.000015124459,0.000033054996,0.000037081674,0.0000961256,0.0037658392],"genre_scores_gemma":[0.9953237,0.000032433367,0.004265541,0.0000022226964,8.094369e-7,0.000006633987,0.000012560649,0.000005123415,0.00035092368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999074,0.000017770168,0.0000057721004,0.000008822681,0.000043864467,0.000016423252],"domain_scores_gemma":[0.9995728,0.00019808496,0.00007830128,0.00003328639,0.00009585653,0.00002176738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032210682,0.00024823696,0.00023123313,0.00029200187,0.00017064466,0.000349937,0.00030172442,0.00029720546,0.00081505603],"category_scores_gemma":[0.001080255,0.00008869864,0.00016341172,0.00019060932,0.00031829224,0.00017584817,0.00022293313,0.0001428832,0.00009194399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072280236,0.00020529448,0.005702375,0.00023907125,0.000024316269,0.00026713038,0.0001497397,0.7270695,0.23584434,0.002704213,0.00020176444,0.026869392],"study_design_scores_gemma":[0.000032794247,0.00053931103,0.0012695511,0.000005914677,0.000013853868,0.000027889959,0.000038187423,0.9194473,0.07807231,0.00014632817,0.0003978978,0.000008678223],"about_ca_topic_score_codex":0.0017064802,"about_ca_topic_score_gemma":0.0015579462,"teacher_disagreement_score":0.0017064802,"about_ca_system_score_codex":0.00024580382,"about_ca_system_score_gemma":0.00027044743,"threshold_uncertainty_score":0.0033931136},"labels":[],"label_agreement":null},{"id":"W2161188483","doi":"10.3390/en5125065","title":"Modeling Woody Biomass Procurement for Bioenergy Production at the Atikokan Generating Station in Northwestern Ontario, Canada","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence; Ministry of Natural Resources","keywords":"Biomass (ecology); Bioenergy; Environmental science; Agricultural engineering; Procurement; Raw material; Production (economics); Time horizon; Supply chain optimization; Agroforestry; Forestry; Environmental engineering; Biofuel; Supply chain; Waste management; Business; Agronomy; Engineering; Ecology; Economics; Geography","score_opus":0.01657522109207198,"score_gpt":0.20427190110596596,"score_spread":0.18769668001389397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161188483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98730844,0.00009785894,0.004867478,0.0001436973,0.000005652415,0.00006181818,0.00094006374,0.000033883,0.006541187],"genre_scores_gemma":[0.9946508,0.00008919665,0.0017138016,0.000009654133,0.0000016380211,0.000027962291,0.00042591625,0.000008701419,0.003072352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998504,0.000019894285,0.0000052106625,0.000026327561,0.000026106838,0.00007195842],"domain_scores_gemma":[0.99979514,0.00007716274,0.000028597766,0.0000059045333,0.000056330577,0.000036818652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000239429,0.00054444984,0.0003245828,0.00045903082,0.0009440301,0.0011090196,0.00089766685,0.0006425336,0.0026242626],"category_scores_gemma":[0.00051925785,0.00051491783,0.0004640491,0.0008449012,0.0005125456,0.0005147546,0.00028583198,0.00039459235,0.00013505998],"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":[0.000034972127,0.00001891795,0.0074798516,0.000012975696,0.000010408124,0.000071037335,0.000031315612,0.9901945,0.00042924163,0.00037103455,0.00015592284,0.001189899],"study_design_scores_gemma":[0.000017824077,0.000025875353,0.00851355,0.0000048618303,0.000013525513,0.000009354886,0.00021640782,0.99019605,0.00030769402,0.0002301629,0.00045360852,0.000011158139],"about_ca_topic_score_codex":0.9377715,"about_ca_topic_score_gemma":0.95671487,"teacher_disagreement_score":0.0622285,"about_ca_system_score_codex":0.01719238,"about_ca_system_score_gemma":0.010420482,"threshold_uncertainty_score":0.1251899},"labels":[],"label_agreement":null},{"id":"W2163612233","doi":"10.3390/en4101657","title":"An Inexact Mix-Integer Two-Stage Linear Programming Model for Supporting the Management of a Low-Carbon Energy System in China","year":2011,"lang":"en","type":"article","venue":"Energies","topic":"Water resources management and optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Upgrade; Context (archaeology); Integer programming; Coal; Stochastic programming; Environmental economics; Greenhouse gas; Electric power system; Computer science; Energy mix; Reliability (semiconductor); Programming paradigm; Linear programming; Electricity generation; Mathematical optimization; Reliability engineering; Environmental science; Engineering; Power (physics); Economics; Waste management; Mathematics","score_opus":0.013596333977843584,"score_gpt":0.21684363582937158,"score_spread":0.203247301851528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163612233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27228525,0.00078665797,0.69599396,0.0011880961,0.00011818993,0.00028694706,0.0009516969,0.0004160567,0.027973095],"genre_scores_gemma":[0.97132194,0.00033042312,0.01928514,0.00007555923,0.000020091495,0.000339678,0.0002592606,0.000033201526,0.008334708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994282,0.00021803133,0.000023415036,0.00010906345,0.00011092027,0.00011028287],"domain_scores_gemma":[0.99929786,0.0003961835,0.000102586164,0.000021744465,0.00012411554,0.00005749719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010860815,0.0010615546,0.0011432639,0.0005786008,0.00067717617,0.0019090727,0.0016347427,0.0018960933,0.0031508638],"category_scores_gemma":[0.0017686564,0.0008601324,0.0010062414,0.0008469135,0.0009841879,0.0010398964,0.0012397846,0.0013353945,0.00021391283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012059658,0.0000065203253,0.00015124909,0.000014200225,0.0000057449106,0.000038579936,0.000011910671,0.99773645,0.0001089639,0.001287293,0.000057168763,0.0005698709],"study_design_scores_gemma":[0.0000038572366,0.0000070939222,0.000053021413,0.0000016970605,0.000003029576,0.0000021139806,0.000006598599,0.9994553,0.00003316448,0.00036714217,0.00006503857,0.000001988577],"about_ca_topic_score_codex":0.03466068,"about_ca_topic_score_gemma":0.019657802,"teacher_disagreement_score":0.03466068,"about_ca_system_score_codex":0.0019962757,"about_ca_system_score_gemma":0.0027550994,"threshold_uncertainty_score":0.06891781},"labels":[],"label_agreement":null},{"id":"W2169670723","doi":"10.3390/en20400944","title":"Synthesis and Evaluation of Highly Tolerant Pd Electrocatalysts as Cathodes in Direct Ethylene Glycol Fuel Cells (DEGFC)","year":2009,"lang":"en","type":"article","venue":"Energies","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Ethylene glycol; Cathode; Formic acid; Electrochemistry; Catalysis; Selectivity; Chemistry; Electrocatalyst; Ethylene; Current density; Methanol; Inorganic chemistry; Chemical engineering; Materials science; Electrode; Organic chemistry; Physical chemistry","score_opus":0.01127428092293081,"score_gpt":0.24894142901795457,"score_spread":0.23766714809502376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169670723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98883736,0.0025729737,0.0067543313,0.00008331388,0.000052524556,0.000102328,0.00025056535,0.00011319658,0.0012333189],"genre_scores_gemma":[0.98355687,0.0018129373,0.011990913,0.00003077093,0.000010340257,0.00003681004,0.0002941773,0.00004835253,0.002218774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997017,0.000028624941,0.000023898108,0.00006584926,0.0001420789,0.00003784284],"domain_scores_gemma":[0.99988794,0.000015672125,0.000017280208,0.000012729153,0.000040931773,0.000025517826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028260957,0.00043917407,0.00046929467,0.00042711545,0.00020965889,0.0005517172,0.00038497575,0.0005308059,0.0002734916],"category_scores_gemma":[0.00038418677,0.00025458154,0.00018899071,0.00031007436,0.00021012897,0.00030936926,0.00028243824,0.00042502215,0.00017502382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029193658,0.000017978884,0.000059150912,0.000029290875,0.0000028767474,0.000038891838,0.000007615382,0.0001353104,0.9975491,0.000037780377,0.000018003435,0.002074889],"study_design_scores_gemma":[0.000004305101,0.000072466115,0.00018994136,0.0000013901046,0.0000052086457,0.000040951283,0.0000035326912,0.00031740466,0.9989126,0.0000066017683,0.00044387404,0.0000017490643],"about_ca_topic_score_codex":0.00086743326,"about_ca_topic_score_gemma":0.0018219729,"teacher_disagreement_score":0.00086743326,"about_ca_system_score_codex":0.0003517562,"about_ca_system_score_gemma":0.0002442645,"threshold_uncertainty_score":0.0025522113},"labels":[],"label_agreement":null},{"id":"W2170929820","doi":"10.3390/en8031745","title":"Analysis on Storage Off-Gas Emissions from Woody, Herbaceous, and Torrefied Biomass","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Oak Ridge National Laboratory; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Idaho Operations Office, U.S. Department of Energy; U.S. Department of Energy","keywords":"Pellets; Torrefaction; Biomass (ecology); Carbon dioxide; Pulp and paper industry; Environmental science; Heat of combustion; Tonne; Waste management; Herbaceous plant; Bioenergy; Chemistry; Biofuel; Materials science; Pyrolysis; Botany; Agronomy; Combustion; Composite material; Engineering","score_opus":0.011588733227096863,"score_gpt":0.2098364585954972,"score_spread":0.19824772536840035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170929820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984345,0.00024962417,0.00035326075,0.0000035922644,0.0000067834244,0.00000789141,0.00055624795,0.000011361019,0.0003768429],"genre_scores_gemma":[0.9953707,0.00043752012,0.00058858265,0.000015170575,0.000004750218,0.000030106714,0.0019472254,0.000021592334,0.0015843684],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998895,0.0000069562916,0.000007740953,0.000033042354,0.000034168403,0.000028492983],"domain_scores_gemma":[0.9998543,0.000020564205,0.000023062841,0.0000098585915,0.000072892384,0.00001928103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013303774,0.00056339067,0.0003306006,0.00050238986,0.00029409255,0.00037785975,0.00020569436,0.00021300369,0.0010877262],"category_scores_gemma":[0.00014837949,0.00010787989,0.00033646746,0.0006040438,0.00015520124,0.00035191837,0.00018406974,0.00026016188,0.00020633059],"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":[0.0007403135,0.000057890215,0.01840201,0.00014986352,0.0000397036,0.00021836688,0.00014867829,0.00021369608,0.97063994,0.000025866366,0.000053590014,0.009310062],"study_design_scores_gemma":[0.000006690843,0.0007155125,0.18413025,0.000021669215,0.00010472339,0.00018944031,0.00041926283,0.00075739634,0.8121793,0.000027431066,0.0014239073,0.000024446721],"about_ca_topic_score_codex":0.0039327373,"about_ca_topic_score_gemma":0.00627373,"teacher_disagreement_score":0.0039327373,"about_ca_system_score_codex":0.00026220334,"about_ca_system_score_gemma":0.00022091641,"threshold_uncertainty_score":0.007819712},"labels":[],"label_agreement":null},{"id":"W2257836161","doi":"10.3390/en9020078","title":"A Systematic Study of Separators in Air-Breathing Flat-Plate Microbial Fuel Cells—Part 1: Structure, Properties, and Performance Correlations","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","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":"National Research Council Canada; University of British Columbia","funders":"National Research Council Canada; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Microbial fuel cell; Separator (oil production); Electrode; Cathode; Anode; Power density; Materials science; Nafion; Analytical Chemistry (journal); Composite material; Chemistry; Chemical engineering; Power (physics); Chromatography; Thermodynamics; Engineering","score_opus":0.0090766456184824,"score_gpt":0.17701189746261886,"score_spread":0.16793525184413646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257836161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808863,0.0023874172,0.015376285,0.00006117797,0.000009414813,0.0000726462,0.00031390297,0.000089911984,0.00080283557],"genre_scores_gemma":[0.9825859,0.0018504122,0.013968596,0.000020362493,0.000008894526,0.000049365688,0.00066038466,0.000029862926,0.0008261152],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934775,0.000092342074,0.000053193522,0.00017469018,0.00029978785,0.000032269225],"domain_scores_gemma":[0.99888164,0.0003704283,0.00019035074,0.000117292715,0.00041105016,0.000029210501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087542104,0.0006562837,0.00061489054,0.000506789,0.00038228373,0.00082767016,0.00073867844,0.000738227,0.00042577786],"category_scores_gemma":[0.0015208654,0.00031066855,0.0005006877,0.0007160304,0.00043906018,0.0012017597,0.00030984243,0.00051452854,0.00021940126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011283841,0.00010877156,0.0032881005,0.0003929144,0.000029135483,0.00010673275,0.00009391497,0.003967201,0.9788383,0.00015894265,0.00006224622,0.012840903],"study_design_scores_gemma":[0.0000042497695,0.00049459573,0.0071214484,0.00001301885,0.000028165081,0.00010769218,0.000052505708,0.0068258867,0.984272,0.000053261392,0.001013634,0.000013492068],"about_ca_topic_score_codex":0.0011098483,"about_ca_topic_score_gemma":0.0012907315,"teacher_disagreement_score":0.0011098483,"about_ca_system_score_codex":0.00043208685,"about_ca_system_score_gemma":0.00052878296,"threshold_uncertainty_score":0.004629791},"labels":[],"label_agreement":null},{"id":"W2267845806","doi":"10.3390/en9020072","title":"Visualization of International Energy Policy Research","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Visualization; Context (archaeology); Management science; Data science; Scale (ratio); Energy policy; Computer science; Engineering; Renewable energy; Artificial intelligence","score_opus":0.019851711989232957,"score_gpt":0.3432789212808202,"score_spread":0.32342720929158725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267845806","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":[0.07068143,0.017855586,0.27247292,0.022953378,0.0027675643,0.00054568966,0.022950018,0.009667033,0.58010644],"genre_scores_gemma":[0.6516805,0.014755055,0.2873441,0.0009458507,0.00084515306,0.0011943931,0.012584833,0.0023672679,0.028282847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99763227,0.0013220102,0.00017199569,0.00019401414,0.00049827975,0.00018146005],"domain_scores_gemma":[0.99174553,0.00428351,0.00075866014,0.0012060904,0.0016278495,0.0003784127],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0054545673,0.0008604828,0.00045497835,0.012235332,0.0012669234,0.008686306,0.00059871306,0.0010094547,0.01812281],"category_scores_gemma":[0.015822668,0.00031262983,0.0008879234,0.014822552,0.0013301071,0.0047063506,0.004638474,0.0012624977,0.002051531],"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":[0.000239479,0.00006298615,0.005544482,0.0016306445,0.00012015302,0.00045202728,0.016994432,0.0160711,0.0037801086,0.65775174,0.0758222,0.22153062],"study_design_scores_gemma":[0.000058644728,0.00004763905,0.0067626666,0.0014674414,0.00008274911,0.00033052545,0.010467089,0.020689936,0.0030118043,0.18435217,0.77265096,0.000078421974],"about_ca_topic_score_codex":0.003911846,"about_ca_topic_score_gemma":0.0034300555,"teacher_disagreement_score":0.98776466,"about_ca_system_score_codex":0.0022548833,"about_ca_system_score_gemma":0.0039602215,"threshold_uncertainty_score":0.060626864},"labels":[],"label_agreement":null},{"id":"W2270301134","doi":"10.3390/en9020079","title":"Systematic Study of Separators in Air-Breathing Flat-Plate Microbial Fuel Cells—Part 2: Numerical Modeling","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of British Columbia","funders":"National Research Council Canada; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Separator (oil production); Anode; Electrolyte; Cathode; Microbial fuel cell; Oxygen; Chemistry; Oxygen transport; Internal resistance; Electrode; Mechanics; Materials science; Mass transfer; Analytical Chemistry (journal); Thermodynamics; Power (physics); Chromatography; Physics","score_opus":0.008688553016781227,"score_gpt":0.2050524103350164,"score_spread":0.19636385731823516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270301134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7090378,0.0022429123,0.27704114,0.00035710284,0.00006451602,0.00030656246,0.00078955333,0.0003716541,0.009788827],"genre_scores_gemma":[0.9513764,0.0011519664,0.043851845,0.00005101493,0.0000151931135,0.00028129347,0.0003713472,0.00005281196,0.0028481046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998584,0.00003317014,0.000011649412,0.000029070015,0.00005586297,0.000011822971],"domain_scores_gemma":[0.9996057,0.00022868523,0.00005078544,0.000038697544,0.000067461086,0.000008707559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036211422,0.0004824658,0.0005018442,0.00029757209,0.00038161338,0.000661408,0.00081949116,0.0009136386,0.00078543276],"category_scores_gemma":[0.0010917172,0.0002707924,0.0005782025,0.00037526488,0.00037743044,0.0007224091,0.00027313537,0.00044915124,0.00017881607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005739425,0.00008619629,0.0020821663,0.00021177398,0.000021948308,0.00011094009,0.00005461785,0.9401942,0.04601196,0.003107279,0.00013816412,0.007923327],"study_design_scores_gemma":[0.000007579521,0.000045396057,0.0006037162,0.000008737864,0.0000075357652,0.000018286857,0.000012366475,0.9860869,0.012204937,0.00045562693,0.00054192217,0.0000068416457],"about_ca_topic_score_codex":0.004189785,"about_ca_topic_score_gemma":0.0024379382,"teacher_disagreement_score":0.004189785,"about_ca_system_score_codex":0.000532466,"about_ca_system_score_gemma":0.000741912,"threshold_uncertainty_score":0.008330822},"labels":[],"label_agreement":null},{"id":"W2275415360","doi":"10.3390/en9020087","title":"Influence of Fine Metal Particles on Surface Discharge Characteristics of Outdoor Insulators","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Materials science; Arc flash; Electric field; Insulator (electricity); Composite material; Particle (ecology)","score_opus":0.010653993595579883,"score_gpt":0.22886125100125904,"score_spread":0.21820725740567914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275415360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875176,0.00012391504,0.000754591,0.000005657827,0.0000037015975,0.000005127899,0.000027918762,0.000010355717,0.00031708312],"genre_scores_gemma":[0.99921644,0.00007856458,0.00039458892,0.0000059329814,0.0000019811139,0.000003085299,0.00003826975,0.000005032947,0.00025602535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998945,0.0000119685665,0.000007412036,0.00002855531,0.000030576535,0.000026979373],"domain_scores_gemma":[0.99979717,0.00008278954,0.00004510557,0.000016531683,0.000037357902,0.000021159958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012000961,0.00015177448,0.0001607448,0.00016134167,0.00014654038,0.00025349934,0.000084142106,0.00020259715,0.00063155213],"category_scores_gemma":[0.0003188058,0.000099275436,0.00017211685,0.00009644117,0.0001711048,0.00017034392,0.00011919758,0.00018023874,0.00008094996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115236726,0.000013199255,0.0016614903,0.000031560474,0.0000065354757,0.00008265875,0.00003729643,0.00025575067,0.9957229,0.000019399204,0.000014962194,0.0020389669],"study_design_scores_gemma":[0.0000071131235,0.00035650196,0.027728472,0.0000033553013,0.0000168316,0.00015621974,0.00009304114,0.001289681,0.9697936,0.000024855504,0.00052398496,0.0000062881545],"about_ca_topic_score_codex":0.00066063285,"about_ca_topic_score_gemma":0.0008431925,"teacher_disagreement_score":0.00066063285,"about_ca_system_score_codex":0.00012916233,"about_ca_system_score_gemma":0.00004970216,"threshold_uncertainty_score":0.0021126866},"labels":[],"label_agreement":null},{"id":"W2287298492","doi":"10.3390/en9020107","title":"Coordinated Voltage Control in Distribution Network with the Presence of DGs and Variable Loads Using Pareto and Fuzzy Logic","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Fuzzy logic; Voltage; Control theory (sociology); Pareto principle; AC power; Variable (mathematics); Mathematical optimization; Generator (circuit theory); Control variable; Power (physics); Node (physics); Voltage regulation; Computer science; Engineering; Control (management); Mathematics; Electrical engineering","score_opus":0.0049339804114261155,"score_gpt":0.18312381943500078,"score_spread":0.17818983902357466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287298492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021818362,0.000070000824,0.9757781,0.000062097126,0.000012218069,0.000029783507,0.000011334015,0.00013254212,0.0020857016],"genre_scores_gemma":[0.8982262,0.000075890384,0.10022596,0.00003837639,0.000015223059,0.0000727924,0.000021671702,0.000022608796,0.0013012693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997003,0.000077199504,0.000010626879,0.000068716574,0.00008637619,0.000056799217],"domain_scores_gemma":[0.9996779,0.00017181029,0.000058524503,0.000015891708,0.000056462344,0.000019362767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007404774,0.00077744457,0.0006866284,0.0004626779,0.00048660848,0.00090282207,0.00071883353,0.0005503758,0.00074833736],"category_scores_gemma":[0.0009065735,0.00033754006,0.0004018716,0.00039084037,0.00061449216,0.0006438813,0.0004570631,0.0005777973,0.00010544425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027714477,0.00002195354,0.00017882357,0.000012593748,0.000010542016,0.000023459947,0.000026505053,0.9739258,0.0010187132,0.0025508653,0.00015268235,0.022050373],"study_design_scores_gemma":[0.000008578364,0.000019577845,0.000032035005,0.0000019074898,0.0000029296314,0.000004148713,0.0000038907706,0.99839836,0.00027449656,0.0011408145,0.00011156583,0.0000016431237],"about_ca_topic_score_codex":0.0077962857,"about_ca_topic_score_gemma":0.006789074,"teacher_disagreement_score":0.0077962857,"about_ca_system_score_codex":0.0010719702,"about_ca_system_score_gemma":0.0009307563,"threshold_uncertainty_score":0.015501797},"labels":[],"label_agreement":null},{"id":"W2297628442","doi":"10.3390/en9030212","title":"Exergy Flows inside a One Phase Ejector for Refrigeration Systems","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Injector; Refrigeration; Exergy; Environmental science; Process engineering; Phase (matter); Waste management; Thermodynamics; Engineering; Mechanical engineering; Chemistry; Physics","score_opus":0.021124619046139947,"score_gpt":0.2397475616919184,"score_spread":0.21862294264577847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297628442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91836846,0.0008722547,0.07784432,0.000035038738,0.000014466057,0.000062954954,0.00017195019,0.00014606187,0.0024844552],"genre_scores_gemma":[0.99356985,0.00030756037,0.004943589,0.0000039203196,0.000004388172,0.000019985977,0.00015070956,0.000032257834,0.00096771255],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997708,0.00004951258,0.000011366811,0.000026096646,0.000122053556,0.000020191095],"domain_scores_gemma":[0.9997873,0.00012762204,0.000026395435,0.00001274754,0.00003614954,0.000009897477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004752093,0.00038613242,0.0005112935,0.000830973,0.00030953033,0.00077173585,0.00033666205,0.00028828604,0.001075153],"category_scores_gemma":[0.0007041201,0.0001796134,0.0004101811,0.00057201425,0.00043136624,0.0008049971,0.0003911371,0.00024108494,0.00020139803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001031232,0.00022470517,0.014013334,0.000681154,0.00006613683,0.00037842972,0.00045870335,0.25108966,0.62728035,0.008142172,0.00024336542,0.09639066],"study_design_scores_gemma":[0.00002793605,0.0007907888,0.031091638,0.00003272022,0.000057716108,0.00035528053,0.00020596819,0.4785219,0.48391873,0.0023579183,0.002576119,0.00006340864],"about_ca_topic_score_codex":0.0009186263,"about_ca_topic_score_gemma":0.00085180055,"teacher_disagreement_score":0.001075153,"about_ca_system_score_codex":0.0004680819,"about_ca_system_score_gemma":0.00028098922,"threshold_uncertainty_score":0.003596723},"labels":[],"label_agreement":null},{"id":"W2298696558","doi":"10.3390/en9030202","title":"Realistic Scheduling Mechanism for Smart Homes","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"","keywords":"Computer science; Scheduling (production processes); Electricity; Particle swarm optimization; Heuristic; Power consumption; Reliability engineering; Mathematical optimization; Real-time computing; Power (physics); Operations research; Engineering; Artificial intelligence; Algorithm","score_opus":0.011368437378436277,"score_gpt":0.2047085946835614,"score_spread":0.1933401573051251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298696558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033148587,0.00012964093,0.96212256,0.0001930834,0.00011033017,0.00011332442,0.000065632325,0.00069656444,0.0034203266],"genre_scores_gemma":[0.7999849,0.00013196362,0.1966823,0.000114307,0.00008110821,0.00020510508,0.00017816864,0.00009407551,0.002528044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877614,0.00050274533,0.000073532974,0.00023169543,0.0002913885,0.00012443891],"domain_scores_gemma":[0.99875915,0.00042673678,0.00024053948,0.0003046291,0.0001680037,0.00010094821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016243762,0.0005070949,0.0006008052,0.0003164357,0.0005107231,0.00076727045,0.0014272314,0.00063509715,0.003149431],"category_scores_gemma":[0.0032678607,0.00035973475,0.00040381402,0.0004448826,0.00047906107,0.0012632591,0.00067094207,0.0006357597,0.0004601486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029839028,0.00019109913,0.0010049393,0.00015363375,0.000049982333,0.00016456484,0.00019949318,0.86343795,0.01013067,0.06310513,0.0037059842,0.057558198],"study_design_scores_gemma":[0.000026879017,0.00008574798,0.00023293163,0.000005050673,0.000007954687,0.00005066214,0.000026570959,0.9850831,0.001107708,0.009908587,0.0034526791,0.000012150427],"about_ca_topic_score_codex":0.0014706104,"about_ca_topic_score_gemma":0.0017898106,"teacher_disagreement_score":0.003149431,"about_ca_system_score_codex":0.000857289,"about_ca_system_score_gemma":0.0010492397,"threshold_uncertainty_score":0.010535836},"labels":[],"label_agreement":null},{"id":"W2304952175","doi":"10.3390/en9040227","title":"A Methodology for Constructing Marginal Abatement Cost Curves for Climate Action in Cities","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":50,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Marginal abatement cost; Greenhouse gas; Climate change; Climate change mitigation; Natural resource economics; Incentive; Environmental economics; Stock (firearms); Marginal cost; Business; Climate policy; Climate Finance; Economics; Environmental science; Geography; Microeconomics","score_opus":0.43194780333221955,"score_gpt":0.3715546715999371,"score_spread":0.060393131732282446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304952175","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":[0.0031116016,0.0000695548,0.99173564,0.00008966456,0.00001970595,0.00012031856,0.00035074705,0.000320455,0.004182235],"genre_scores_gemma":[0.08702844,0.0002654354,0.90747064,0.00004611001,0.000034007953,0.0007720026,0.0006989231,0.00039008106,0.003294324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978709,0.00096297584,0.00014561712,0.00032229483,0.00048630874,0.00021194664],"domain_scores_gemma":[0.9928059,0.0048075635,0.00047136864,0.00068087823,0.0010678818,0.00016643261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003736968,0.0014916266,0.0010862708,0.0050885514,0.0011294376,0.0036718755,0.0022789878,0.0015056388,0.012811766],"category_scores_gemma":[0.018613124,0.0011640382,0.0029168024,0.00558447,0.0012585495,0.0029130424,0.0027565248,0.00325424,0.001894127],"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":[0.000030736748,0.000058623056,0.0021867796,0.00016398243,0.000045891797,0.00010930868,0.0003860661,0.6279885,0.000844695,0.29550624,0.003992824,0.06868632],"study_design_scores_gemma":[0.000010624669,0.000035247056,0.0008582051,0.000052585674,0.000019390995,0.00007372612,0.00015209451,0.8235985,0.00086730166,0.15965137,0.014629312,0.000051550775],"about_ca_topic_score_codex":0.012837677,"about_ca_topic_score_gemma":0.008614086,"teacher_disagreement_score":0.012837677,"about_ca_system_score_codex":0.004012812,"about_ca_system_score_gemma":0.0028204713,"threshold_uncertainty_score":0.042859674},"labels":[],"label_agreement":null},{"id":"W2306824538","doi":"10.3390/en9040237","title":"Cavitation Inception in Crossflow Hydro Turbines","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Federal do Pará; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Pró-Reitoria de Pesquisa e Pós-Graduação, Universidade Federal do Pará; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Calgary","keywords":"Cavitation; Impeller; Reynolds-averaged Navier–Stokes equations; Turbine; Mechanics; Detached eddy simulation; Suction; Marine engineering; Specific speed; Draft tube; Turbine blade; Flow (mathematics); Materials science; Computational fluid dynamics; Mechanical engineering; Engineering; Centrifugal pump; Physics","score_opus":0.005037274970454112,"score_gpt":0.19419658057467895,"score_spread":0.18915930560422484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306824538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755887,0.00026157795,0.022688055,0.000046410878,0.000011580247,0.000026664238,0.000032648186,0.00014041696,0.00120396],"genre_scores_gemma":[0.9969637,0.000102037804,0.0025336922,0.000008046902,0.0000050913427,0.000010870723,0.000037850754,0.00001228322,0.00032644064],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998209,0.000031257154,0.000014339829,0.00003722045,0.00006567511,0.000030738178],"domain_scores_gemma":[0.9993932,0.00029389653,0.00015583649,0.000034468638,0.00009489625,0.000027591059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004009211,0.00026206335,0.00042475338,0.0005083515,0.0003613659,0.00052665675,0.0002478224,0.00053094485,0.00055416685],"category_scores_gemma":[0.0013079615,0.000291725,0.0003111885,0.00027446932,0.00057753385,0.0006960014,0.00055257505,0.0003374358,0.00009578859],"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":[0.0006150125,0.00028051453,0.066779345,0.00039502082,0.00007087272,0.0028233435,0.00060441723,0.4256634,0.44859868,0.0031676795,0.00074613537,0.050255567],"study_design_scores_gemma":[0.000050046292,0.00065628614,0.060266938,0.000028291017,0.00002903637,0.00055900816,0.0001564037,0.8373844,0.09871803,0.0008566069,0.0012458612,0.00004903218],"about_ca_topic_score_codex":0.0021908612,"about_ca_topic_score_gemma":0.001287655,"teacher_disagreement_score":0.0021908612,"about_ca_system_score_codex":0.0003720609,"about_ca_system_score_gemma":0.0002936031,"threshold_uncertainty_score":0.004356265},"labels":[],"label_agreement":null},{"id":"W2340339999","doi":"10.3390/en9040293","title":"Influence of Droplet Size on Exergy Destruction in Flow of Concentrated Non-Newtonian Emulsions","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Emulsion; Laminar flow; Mechanics; Materials science; Shear rate; Newtonian fluid; Volumetric flow rate; Turbulence; Non-Newtonian fluid; Volume (thermodynamics); Rheology; Thermodynamics; Chemistry; Composite material; Physics","score_opus":0.002478100643657371,"score_gpt":0.17702274449712832,"score_spread":0.17454464385347096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340339999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99785197,0.00016458087,0.0015515054,0.000015046513,0.0000051215106,0.00001373652,0.0000386837,0.00001709029,0.00034237525],"genre_scores_gemma":[0.9986406,0.000111591515,0.00093660987,0.000008784587,0.0000026820107,0.0000072604043,0.000042218006,0.000009883466,0.00024030296],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971575,0.000033936136,0.000021128515,0.00005792949,0.00012180486,0.000049464452],"domain_scores_gemma":[0.9991559,0.0005265437,0.00011949117,0.000039706993,0.000099953686,0.000058433838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052619586,0.00030473818,0.00039832733,0.00031129207,0.00016541207,0.00053407706,0.00026163223,0.000240475,0.0007024799],"category_scores_gemma":[0.0013912804,0.00016384578,0.000256107,0.00019065221,0.0003949555,0.0004484327,0.00021437142,0.00037542213,0.00011043233],"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":[0.00040858885,0.00005179957,0.0013292171,0.000035533685,0.0000061055152,0.00008578712,0.000049021197,0.0026948897,0.9930132,0.00008492476,0.000012153643,0.002228657],"study_design_scores_gemma":[0.000028211904,0.0004985533,0.0052787964,0.000003387248,0.000010936465,0.00003752638,0.000023280649,0.008627201,0.9853199,0.000043100474,0.000120054996,0.0000089696705],"about_ca_topic_score_codex":0.0017422687,"about_ca_topic_score_gemma":0.001374976,"teacher_disagreement_score":0.0017422687,"about_ca_system_score_codex":0.0005488968,"about_ca_system_score_gemma":0.00029459852,"threshold_uncertainty_score":0.003982544},"labels":[],"label_agreement":null},{"id":"W2342188981","doi":"10.3390/en9040291","title":"Study on the System Design of a Solar Assisted Ground Heat Pump System Using Dynamic Simulation","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":15,"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":"TRNSYS; Heat pump; Thermal energy storage; Coefficient of performance; Environmental science; Storage tank; Thermal; Nuclear engineering; Systems design; Dynamic simulation; Solar energy; Process engineering; Engineering; Meteorology; Mechanical engineering; Simulation; Thermodynamics; Heat exchanger; Electrical engineering","score_opus":0.05022036959801823,"score_gpt":0.2711319941786728,"score_spread":0.22091162458065455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342188981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5530208,0.0006710495,0.4147867,0.00036470193,0.00006660963,0.00034723355,0.00030451838,0.0009360685,0.029502299],"genre_scores_gemma":[0.9851264,0.00015750922,0.012245948,0.0000130323115,0.000004904271,0.00010604713,0.00007100559,0.000025112968,0.002250101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977165,0.000067050656,0.000010810627,0.00003861033,0.000074087126,0.000037726284],"domain_scores_gemma":[0.9997824,0.00009868291,0.000022802096,0.000010826539,0.00007064869,0.000014685513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038260382,0.00046668228,0.0006247033,0.00039089235,0.0006173739,0.001088527,0.0004020787,0.00055389013,0.0027421021],"category_scores_gemma":[0.000552283,0.00040783157,0.0006114804,0.00027445075,0.0002630928,0.00058074057,0.00035702545,0.0004033923,0.00026584853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006962395,0.00003773537,0.0013534742,0.00010937665,0.000024643392,0.000083842875,0.000057884008,0.98103917,0.0069920993,0.00093137834,0.00021251864,0.0090881735],"study_design_scores_gemma":[0.000008382748,0.000062427775,0.00044711595,0.00000419156,0.000012128693,0.000011644988,0.00002257272,0.9975085,0.001310778,0.00011153105,0.00049608765,0.0000046296846],"about_ca_topic_score_codex":0.009417767,"about_ca_topic_score_gemma":0.0065463623,"teacher_disagreement_score":0.009417767,"about_ca_system_score_codex":0.0006480554,"about_ca_system_score_gemma":0.0010294484,"threshold_uncertainty_score":0.018725932},"labels":[],"label_agreement":null},{"id":"W2344878300","doi":"10.3390/en9050316","title":"Solar Hydrogen Production via a Samarium Oxide-Based Thermochemical Water Splitting Cycle","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Division of Chemistry; Qatar National Research Fund; Qatar University; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Thermochemical cycle; Water splitting; Thermal efficiency; Thermodynamics; Chemistry; Solar energy; Partial pressure; Hydrogen production; Hydrogen; Nuclear engineering; Solar fuel; Thermodynamic cycle; Oxygen; Combustion; Physical chemistry; Physics; Organic chemistry; Engineering","score_opus":0.0045953596401816735,"score_gpt":0.17428199622058863,"score_spread":0.16968663658040695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344878300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97978026,0.00024185998,0.007951557,0.0001340876,0.000024521916,0.000047835125,0.00053480634,0.00008145779,0.011203578],"genre_scores_gemma":[0.994418,0.00015603904,0.0037115524,0.00003129068,0.0000049490072,0.0000657475,0.0002703136,0.000016037811,0.0013260371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994373,0.000008947059,0.0000018386883,0.000010355743,0.000019638896,0.000015487907],"domain_scores_gemma":[0.9999176,0.000046894645,0.00000619654,0.000007103088,0.0000114381455,0.000010692835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019323234,0.0003107835,0.0007868378,0.00033521236,0.0005050407,0.0005769897,0.00068472873,0.00068968645,0.0026801722],"category_scores_gemma":[0.00039077108,0.00026808484,0.00056134094,0.00046868803,0.00033482653,0.0004701577,0.00042020794,0.00041804402,0.00016813829],"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":[0.00021153921,0.00013042027,0.0024408975,0.0002167855,0.000060958744,0.00027860957,0.000047653255,0.9664453,0.018076472,0.005046859,0.00037039962,0.0066741146],"study_design_scores_gemma":[0.00004873318,0.00011240472,0.00080286653,0.0000057443103,0.000015452915,0.000024927696,0.000025185891,0.9923355,0.005270329,0.00085969974,0.0004893971,0.000009713443],"about_ca_topic_score_codex":0.0072183637,"about_ca_topic_score_gemma":0.007397749,"teacher_disagreement_score":0.0072183637,"about_ca_system_score_codex":0.0008268223,"about_ca_system_score_gemma":0.00093705166,"threshold_uncertainty_score":0.014352679},"labels":[],"label_agreement":null},{"id":"W2355911960","doi":"10.3390/en9050367","title":"Review of Physicochemical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Reliability engineering; Transformer oil; Dissolved gas analysis; Condition monitoring; Engineering; Insulation system; Electric power system; Condition-based maintenance; Electrical engineering; Forensic engineering; Computer science; Voltage; Power (physics)","score_opus":0.010481455385112125,"score_gpt":0.26033180936429584,"score_spread":0.2498503539791837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355911960","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":[0.0007825131,0.99485874,0.0029777966,0.00014460081,0.00020834673,0.000017892338,0.000060422644,0.000021903466,0.0009277502],"genre_scores_gemma":[0.005050741,0.9894627,0.004182476,0.00016324091,0.00032774918,0.000029631154,0.00010092829,0.0000076598435,0.0006748781],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991203,0.0001594485,0.00016095812,0.00018548848,0.00033634136,0.000037519814],"domain_scores_gemma":[0.9980565,0.0010166329,0.00025109705,0.00005973345,0.0005683741,0.0000477377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013233376,0.0012896531,0.0015529328,0.0052349092,0.00028896244,0.0009666898,0.0014940632,0.0011538838,0.0014728724],"category_scores_gemma":[0.0017446695,0.0005373309,0.0009855861,0.0034661042,0.0006082809,0.0015897283,0.00046708377,0.00077661,0.0011098032],"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":[0.00018488376,0.00020040521,0.0012788528,0.045325417,0.00031959492,0.0006164902,0.00014727277,0.001424332,0.0249276,0.002377021,0.012486261,0.9107119],"study_design_scores_gemma":[0.0000318345,0.0007236832,0.0114227105,0.011124502,0.0009840777,0.008260781,0.00027925658,0.0027667028,0.038858686,0.0034259341,0.9218976,0.00022429223],"about_ca_topic_score_codex":0.0016161989,"about_ca_topic_score_gemma":0.001536125,"teacher_disagreement_score":0.0052349092,"about_ca_system_score_codex":0.0005192571,"about_ca_system_score_gemma":0.000790925,"threshold_uncertainty_score":0.0069985986},"labels":[],"label_agreement":null},{"id":"W2401351154","doi":"10.3390/en9060412","title":"Analytical Model for Voltage-Dependent Photo and Dark Currents in Bulk Heterojunction Organic Solar Cells","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Photocurrent; Charge carrier; Theory of solar cells; Organic solar cell; Polymer solar cell; Optoelectronics; Materials science; Electron mobility; Electron; Energy conversion efficiency; Acceptor; Solar cell; Molecular physics; Physics; Condensed matter physics; Polymer","score_opus":0.009503131545579814,"score_gpt":0.20936367027036376,"score_spread":0.19986053872478396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401351154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069954626,0.0025127537,0.8736914,0.0006786855,0.00022456152,0.00027967265,0.0010286963,0.001000144,0.050629463],"genre_scores_gemma":[0.919132,0.0030242114,0.040959787,0.00027181755,0.0001195715,0.00046721526,0.0005498999,0.0002027724,0.035272848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975926,0.000028278835,0.0000138711675,0.00004373409,0.00011711476,0.00003779488],"domain_scores_gemma":[0.9998129,0.00006885513,0.000020903239,0.000018040644,0.00007303187,0.000006311199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034641984,0.00063182425,0.00078304316,0.00059245835,0.0005109252,0.0010526573,0.0021795202,0.0014237806,0.0024042148],"category_scores_gemma":[0.0007445354,0.0003794048,0.00093813305,0.00065482483,0.00045703788,0.0014013054,0.00038336343,0.00082252704,0.00095351855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041212657,0.000090238216,0.00047218543,0.00022161743,0.000031229778,0.0004306967,0.00020751811,0.8890118,0.040505905,0.056242805,0.0016680984,0.011076635],"study_design_scores_gemma":[0.0000031906352,0.000012313172,0.00007422091,0.0000058530945,0.000004856766,0.00003716512,0.000008525174,0.99611866,0.00090805977,0.0021357487,0.00068720867,0.0000042185166],"about_ca_topic_score_codex":0.0040218844,"about_ca_topic_score_gemma":0.003258645,"teacher_disagreement_score":0.0040218844,"about_ca_system_score_codex":0.0013540193,"about_ca_system_score_gemma":0.0009276373,"threshold_uncertainty_score":0.009824157},"labels":[],"label_agreement":null},{"id":"W2409245633","doi":"10.3390/en9060435","title":"Hydrothermal Conversion of Neutral Sulfite Semi-Chemical Red Liquor into Hydrochar","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sheridan College; University of Guelph","funders":"University of Guelph","keywords":"Chemistry; Hydrothermal carbonization; Thermogravimetric analysis; Chemical engineering; Sulfite; Fourier transform infrared spectroscopy; Inorganic chemistry; Organic chemistry; Adsorption","score_opus":0.004555799530816485,"score_gpt":0.18212293305667462,"score_spread":0.17756713352585815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409245633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422497,0.0004958728,0.0031037407,0.000030466088,0.0000161995,0.000040453724,0.00030975873,0.00005064568,0.0017277497],"genre_scores_gemma":[0.993389,0.0006627302,0.0037275378,0.000015707623,0.000005209469,0.000020155028,0.00040494002,0.000016659875,0.001758108],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991727,0.000009443251,0.000007877679,0.000014733762,0.000030106075,0.000020506743],"domain_scores_gemma":[0.9999447,0.0000054608995,0.000016899588,0.0000050674744,0.0000144848045,0.000013364711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017497758,0.00032013404,0.00026277016,0.00024959896,0.00007946806,0.00019349248,0.00016271902,0.00016077775,0.0008856829],"category_scores_gemma":[0.00011123164,0.00014063506,0.00032430072,0.00031600127,0.00014471092,0.0002165705,0.00021171875,0.00034464925,0.00024128065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080124366,0.000025740626,0.0001969294,0.0001083042,0.0000067035244,0.00010429846,0.000015619284,0.00034712005,0.9968322,0.000100943675,0.000025074733,0.002157055],"study_design_scores_gemma":[0.0000092788605,0.00019301173,0.0015027527,0.000010495772,0.000010869771,0.0000858831,0.00002539627,0.0007667422,0.99610955,0.000027193368,0.001252347,0.00000635195],"about_ca_topic_score_codex":0.00069038227,"about_ca_topic_score_gemma":0.0018871893,"teacher_disagreement_score":0.0008856829,"about_ca_system_score_codex":0.00021909896,"about_ca_system_score_gemma":0.00024461336,"threshold_uncertainty_score":0.002962947},"labels":[],"label_agreement":null},{"id":"W2467071607","doi":"10.3390/en9070494","title":"Super-Twisting Differentiator-Based High Order Sliding Mode Voltage Control Design for DC-DC Buck Converters","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Key Science and Technology Program of Shaanxi Province; Aeronautical Science Foundation of China","keywords":"Differentiator; Control theory (sociology); Robustness (evolution); Converters; Sliding mode control; Buck converter; Voltage; Engineering; Computer science; Nonlinear system; Physics; Control (management); Bandwidth (computing); Electrical engineering; Telecommunications","score_opus":0.012997600189983418,"score_gpt":0.2025108698101535,"score_spread":0.1895132696201701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467071607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031715207,0.00022273939,0.9650962,0.000053683467,0.000049489874,0.000035869343,0.000012034219,0.00017604935,0.0026387216],"genre_scores_gemma":[0.94880736,0.00023296433,0.048561417,0.00003604107,0.000022668342,0.00007669384,0.000029655654,0.000015114823,0.002218082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998723,0.000024997064,0.000011136029,0.000023748817,0.000054167573,0.000013665464],"domain_scores_gemma":[0.9998524,0.000040518833,0.000025291438,0.000014185492,0.000059357815,0.000008229671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033000638,0.0003150645,0.00025297276,0.00019218902,0.00016836723,0.000328615,0.0004192247,0.00022930371,0.00092597405],"category_scores_gemma":[0.00045910347,0.00013485768,0.00019915559,0.00017364544,0.00025560352,0.0002768689,0.00027948446,0.00037996384,0.0001331319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024803408,0.000064983185,0.0010799575,0.00053996197,0.00004521402,0.00023188387,0.00036485674,0.5072015,0.20360504,0.017011298,0.0010057526,0.26860148],"study_design_scores_gemma":[0.00001142654,0.0001976067,0.00024755337,0.000009531021,0.000006167102,0.000038601298,0.00001665397,0.986634,0.010547259,0.0010671286,0.0012163433,0.00000772252],"about_ca_topic_score_codex":0.0010354705,"about_ca_topic_score_gemma":0.0007863561,"teacher_disagreement_score":0.0010354705,"about_ca_system_score_codex":0.00020239654,"about_ca_system_score_gemma":0.00033430028,"threshold_uncertainty_score":0.003097713},"labels":[],"label_agreement":null},{"id":"W2467667935","doi":"10.3390/en9070542","title":"Real Time Information Based Energy Management Using Customer Preferences and Dynamic Pricing in Smart Homes","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"King Saud University","keywords":"Thermostat; Demand response; Schedule; Electricity; Computer science; Energy management; Optimization problem; Home automation; Real-time computing; Automotive engineering; Engineering; Energy (signal processing); Algorithm; Telecommunications; Electrical engineering","score_opus":0.0044533730095101046,"score_gpt":0.18156891882136658,"score_spread":0.17711554581185648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467667935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22993496,0.00093764294,0.76237154,0.00047323605,0.00008526648,0.0000607517,0.00006289177,0.00051616516,0.005557587],"genre_scores_gemma":[0.97764856,0.00019513987,0.021357143,0.000042790205,0.000019747222,0.0000181619,0.000023236556,0.000015335829,0.0006799619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996877,0.000106289895,0.000014875786,0.000074160074,0.000072267445,0.000044796536],"domain_scores_gemma":[0.9997358,0.00012624747,0.00005593768,0.000022889204,0.000040730552,0.000018483655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048488073,0.0004670081,0.0006991019,0.00022280203,0.0002503934,0.0007198495,0.00076480635,0.0005332568,0.00054058654],"category_scores_gemma":[0.00082504837,0.00029817928,0.00026257607,0.00050278916,0.00040263357,0.0013698289,0.0004195681,0.00045736015,0.00009995043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013377547,0.00012642653,0.0017803165,0.000051266292,0.000045802197,0.00010697516,0.000071303715,0.9215824,0.003913823,0.007270802,0.0008347538,0.06408236],"study_design_scores_gemma":[0.0000066408456,0.000027983733,0.00031404576,0.0000017501645,0.00000744185,0.000018760085,0.000016578137,0.9964373,0.000727556,0.0021451965,0.0002910671,0.0000057873285],"about_ca_topic_score_codex":0.0028048053,"about_ca_topic_score_gemma":0.0030150427,"teacher_disagreement_score":0.0028048053,"about_ca_system_score_codex":0.00053536013,"about_ca_system_score_gemma":0.00039003533,"threshold_uncertainty_score":0.005576968},"labels":[],"label_agreement":null},{"id":"W2469249099","doi":"10.3390/en9070532","title":"Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Controller (irrigation); Control theory (sociology); Overshoot (microwave communication); PID controller; Settling time; Grid; Engineering; Fuzzy logic; Computer science; Electrical engineering; Control engineering; Control (management); Mathematics; Step response; Temperature control","score_opus":0.02749381460530256,"score_gpt":0.2776844898376477,"score_spread":0.25019067523234517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469249099","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15251562,0.0003897677,0.8004661,0.00020449623,0.00016244945,0.00035994613,0.00026370035,0.0033745389,0.042263437],"genre_scores_gemma":[0.94825685,0.00024809697,0.045627397,0.00003886015,0.000009416937,0.0001601567,0.00015658596,0.000038033588,0.005464618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987483,0.000023891675,0.000007319185,0.000021113223,0.00005823602,0.000014550829],"domain_scores_gemma":[0.999907,0.00002733129,0.000008104077,0.0000121407775,0.000038782855,0.000006703796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017656677,0.0004559322,0.00041392373,0.00019822463,0.0003740373,0.00069982756,0.0005305325,0.0004808128,0.0031209711],"category_scores_gemma":[0.0003115756,0.00017942359,0.0004448258,0.0002471433,0.00020483378,0.00036552447,0.00029040576,0.00061132055,0.00044439815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015012089,0.00014915563,0.0009764571,0.00017628612,0.000052030326,0.00023338775,0.000079973055,0.94029146,0.010357301,0.0042939847,0.0008756495,0.042364147],"study_design_scores_gemma":[0.000027683374,0.00009663148,0.0003908838,0.0000072657413,0.000017090159,0.00004636336,0.000013837933,0.9922483,0.004057635,0.00088485103,0.0022019877,0.000007438625],"about_ca_topic_score_codex":0.010141545,"about_ca_topic_score_gemma":0.0064917,"teacher_disagreement_score":0.010141545,"about_ca_system_score_codex":0.00036980023,"about_ca_system_score_gemma":0.0005766689,"threshold_uncertainty_score":0.020165026},"labels":[],"label_agreement":null},{"id":"W2472397582","doi":"10.3390/en9070504","title":"Application of Scaling-Law and CFD Modeling to Hydrodynamics of Circulating Biomass Fluidized Bed Gasifier","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Fluidized bed; Wood gas generator; Scaling; Scaling law; SCALE-UP; Mechanics; Fluidization; Column (typography); Environmental science; Engineering; Mechanical engineering; Physics; Waste management; Mathematics; Classical mechanics","score_opus":0.006542137904553307,"score_gpt":0.19802685612068976,"score_spread":0.19148471821613647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472397582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20908561,0.0014554108,0.7762603,0.00043923728,0.00015867407,0.00017633621,0.00014445317,0.00057268114,0.011707248],"genre_scores_gemma":[0.9311583,0.00088552566,0.065619394,0.000041581225,0.000041248233,0.00009572884,0.0000827234,0.000043950495,0.0020315412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998254,0.000049958922,0.000012523163,0.00002761326,0.00007039528,0.000014046051],"domain_scores_gemma":[0.99975735,0.00011563459,0.000030983854,0.00002264014,0.000061652194,0.000011810992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031870458,0.0004600572,0.000400596,0.0003385885,0.00030627052,0.00045460442,0.00040228153,0.00062638277,0.0006177974],"category_scores_gemma":[0.0007840911,0.0001977163,0.0005013688,0.00030852598,0.00043902922,0.00060109614,0.00033422408,0.0003427545,0.000093897004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027759592,0.000035237495,0.0013818322,0.000059001963,0.0000086470955,0.00014213135,0.000065924345,0.9574518,0.0109018665,0.0071261777,0.00025874135,0.022540886],"study_design_scores_gemma":[0.0000024619846,0.000009475802,0.00016992741,0.0000021019785,0.0000011362912,0.000012155583,0.0000051787306,0.9976695,0.0013304839,0.00037900207,0.00041444786,0.000004056831],"about_ca_topic_score_codex":0.0098367045,"about_ca_topic_score_gemma":0.003311722,"teacher_disagreement_score":0.0098367045,"about_ca_system_score_codex":0.0006618706,"about_ca_system_score_gemma":0.00067693,"threshold_uncertainty_score":0.019558907},"labels":[],"label_agreement":null},{"id":"W2502311290","doi":"10.3390/en9080593","title":"Energy Optimization in Smart Homes Using Customer Preference and Dynamic Pricing","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"King Saud University","keywords":"Knapsack problem; Schedule; Computer science; Electricity; Mathematical optimization; Energy consumption; Dynamic pricing; Optimization problem; Energy (signal processing); Control (management); Preference; Operations research; Simulation; Real-time computing; Engineering; Economics; Artificial intelligence; Microeconomics; Mathematics; Algorithm; Electrical engineering","score_opus":0.010393398924438954,"score_gpt":0.19309263126187567,"score_spread":0.18269923233743673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2502311290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13405688,0.00034454223,0.8565791,0.0003006663,0.000047734487,0.0000616753,0.00006893013,0.00020088423,0.008339545],"genre_scores_gemma":[0.9503408,0.00014217543,0.04711311,0.000058266596,0.000013579592,0.000034357137,0.000037765036,0.00003904455,0.0022209806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994917,0.00023208508,0.000012470533,0.00007413323,0.00011575279,0.00007385661],"domain_scores_gemma":[0.9997594,0.00014410599,0.000028840139,0.000019598177,0.000032979027,0.000015095315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063091656,0.00043796792,0.0006426197,0.0002132258,0.0002447468,0.00063406804,0.0005441736,0.00044756173,0.002199461],"category_scores_gemma":[0.0010564774,0.0003574447,0.00034431246,0.00074404635,0.00029818696,0.0010143371,0.00042312377,0.00046251473,0.00017012414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008536847,0.000068731046,0.0008317866,0.00003461285,0.000031069394,0.000058477322,0.000028114511,0.9580807,0.0019461857,0.010761346,0.00065516576,0.02741848],"study_design_scores_gemma":[0.000005656757,0.00002860548,0.00021886104,0.0000012707128,0.0000044439025,0.0000156557,0.000014715616,0.9953939,0.00043343456,0.003537524,0.0003419182,0.0000040918967],"about_ca_topic_score_codex":0.0026170039,"about_ca_topic_score_gemma":0.004657335,"teacher_disagreement_score":0.0026170039,"about_ca_system_score_codex":0.000566547,"about_ca_system_score_gemma":0.000552829,"threshold_uncertainty_score":0.007357955},"labels":[],"label_agreement":null},{"id":"W2504724541","doi":"10.3390/en9080616","title":"DG Mix and Energy Storage Units for Optimal Planning of Self-Sufficient Micro Energy Grids","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Sizing; Energy storage; Photovoltaic system; Thermal energy storage; Distributed generation; Grid; Smart grid; Computer science; Intermittent energy source; Wind power; Automotive engineering; Process engineering; Engineering; Reliability engineering; Power (physics); Electrical engineering","score_opus":0.005756417736058999,"score_gpt":0.17808584730712365,"score_spread":0.17232942957106465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504724541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17592625,0.0006360306,0.81307423,0.0002503912,0.000031874373,0.00019752566,0.00024006832,0.00043732303,0.0092062615],"genre_scores_gemma":[0.93905264,0.00014886171,0.058569927,0.000019040019,0.0000058922733,0.00014763424,0.000066206456,0.000030889147,0.0019587919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998697,0.000043615128,0.000006188655,0.000025833173,0.000034771285,0.000019790761],"domain_scores_gemma":[0.9998367,0.00008515399,0.000027753416,0.0000074822146,0.00003093688,0.000011916884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003034151,0.00048713613,0.00048617032,0.0005447208,0.00024841737,0.00068690785,0.00037243738,0.00041439076,0.0015576094],"category_scores_gemma":[0.0005859475,0.00047109197,0.00028906413,0.00051168207,0.0003392253,0.0006367092,0.00026421467,0.00035178504,0.00014710556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017489387,0.0000073150086,0.00019251769,0.000012755837,0.000005676656,0.000017168963,0.000010629733,0.99335337,0.00049612694,0.0013629739,0.00011122991,0.0044127563],"study_design_scores_gemma":[0.000004636136,0.000011731052,0.00009484331,0.000002970513,0.0000035767112,0.0000033621247,0.000010484965,0.9983138,0.00026913598,0.0010922203,0.00019116569,0.0000020769469],"about_ca_topic_score_codex":0.0056217657,"about_ca_topic_score_gemma":0.010010631,"teacher_disagreement_score":0.0056217657,"about_ca_system_score_codex":0.00076175947,"about_ca_system_score_gemma":0.0009675559,"threshold_uncertainty_score":0.011178076},"labels":[],"label_agreement":null},{"id":"W2510643164","doi":"10.3390/en9090679","title":"Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Accelerated aging; Electrical insulation paper; Moisture; Electrical engineering; Capacitance; Reliability engineering; Engineering; Materials science; Voltage; Composite material; Electrode","score_opus":0.008919644118866551,"score_gpt":0.24311963881730736,"score_spread":0.2341999946984408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510643164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09333179,0.014985843,0.87694716,0.00023687097,0.00026586215,0.0002746675,0.0007123782,0.0022205112,0.0110249575],"genre_scores_gemma":[0.6294902,0.008479537,0.35614565,0.00021981423,0.00016608278,0.00016097403,0.00032842433,0.00009810929,0.0049112854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942267,0.00010642896,0.000036193436,0.000085093816,0.00031630756,0.00003325496],"domain_scores_gemma":[0.999356,0.00021713765,0.00012629415,0.000058060825,0.0002238757,0.000018713947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000599817,0.0005835629,0.00039709988,0.002398857,0.00023209654,0.0005846318,0.0007012719,0.00076736,0.0012978961],"category_scores_gemma":[0.0014912459,0.00019509699,0.00023507328,0.0011658825,0.00031773438,0.0009087191,0.0005049779,0.0005263456,0.00062837574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038023174,0.00013945022,0.00847018,0.0012398702,0.00005604507,0.00073021685,0.00034181977,0.0071486062,0.5437819,0.004905524,0.0022008705,0.4306052],"study_design_scores_gemma":[0.000066364184,0.00088351936,0.029825542,0.00044517114,0.0002173768,0.0070813783,0.0006514678,0.13670482,0.7727193,0.009099155,0.042127784,0.00017812272],"about_ca_topic_score_codex":0.0002792051,"about_ca_topic_score_gemma":0.00053767825,"teacher_disagreement_score":0.002398857,"about_ca_system_score_codex":0.00023058013,"about_ca_system_score_gemma":0.00016887627,"threshold_uncertainty_score":0.0043419003},"labels":[],"label_agreement":null},{"id":"W2511033794","doi":"10.3390/en10050607","title":"Harvesting-Aware Energy Management for Environmental Monitoring WSN","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":99,"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":"Energy management; Controller (irrigation); Computer science; Fuzzy logic; Node (physics); Energy (signal processing); Wireless sensor network; Energy consumption; Real-time computing; Duty cycle; Software; Work (physics); Environmental science; Engineering; Computer network; Electrical engineering; Artificial intelligence; Voltage; Mathematics","score_opus":0.012289048394904162,"score_gpt":0.21459840579417364,"score_spread":0.20230935739926947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511033794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1734429,0.00053833233,0.8214027,0.0001737086,0.00004956373,0.0000694901,0.00003988677,0.00059838686,0.0036851403],"genre_scores_gemma":[0.9623135,0.00019121465,0.0365327,0.000024838202,0.000006506424,0.000026491316,0.000023342323,0.000016573953,0.0008647342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994767,0.0000121090325,0.0000034427571,0.000011523069,0.00002099717,0.000004242344],"domain_scores_gemma":[0.99994004,0.000024948838,0.0000087628105,0.000010113346,0.00001303356,0.000003141753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020807664,0.00018297257,0.00015627428,0.00014420458,0.0001761934,0.00024501345,0.0003355689,0.0001808866,0.00042414223],"category_scores_gemma":[0.00034321347,0.000097511926,0.000105676176,0.00014446276,0.00013658666,0.00037057663,0.00019762716,0.00018910176,0.00007202931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011294748,0.00012831709,0.0018456606,0.00011994141,0.000035069337,0.00014918041,0.00013685231,0.53873575,0.24940081,0.003984238,0.0009097631,0.20444143],"study_design_scores_gemma":[0.0000073039423,0.00007063528,0.0008904127,0.0000068970426,0.000011015705,0.00004005119,0.000026764808,0.9652343,0.02923527,0.0023201546,0.0021483959,0.000008802912],"about_ca_topic_score_codex":0.0005747251,"about_ca_topic_score_gemma":0.0011314534,"teacher_disagreement_score":0.0005747251,"about_ca_system_score_codex":0.0001813567,"about_ca_system_score_gemma":0.00014618045,"threshold_uncertainty_score":0.0014188886},"labels":[],"label_agreement":null},{"id":"W2513242647","doi":"10.3390/en9090683","title":"Flashover Characteristics of Silicone Rubber Sheets under Various Environmental Conditions","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Silicone rubber; Arc flash; Materials science; Composite material; Insulator (electricity); Vulcanization; Natural rubber; Humidity; Relative humidity; Silicone; Ceramic","score_opus":0.006824716800330031,"score_gpt":0.20834775193690172,"score_spread":0.2015230351365717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513242647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988067,0.00021696594,0.00043493888,0.0000072781195,0.000005458952,0.0000028640434,0.00013931848,0.000030767413,0.00035559785],"genre_scores_gemma":[0.9990977,0.00012998778,0.0001682186,0.000008088434,0.0000028966003,0.0000023795967,0.00013459336,0.0000072015328,0.00044897903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998776,0.000013679553,0.000008932272,0.000022685357,0.00004480415,0.000032254266],"domain_scores_gemma":[0.9995442,0.00019743334,0.000063829924,0.00003789368,0.00012248759,0.000034033597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015882161,0.00023905172,0.00019791038,0.00034383978,0.00014179428,0.00016059651,0.00014797767,0.0003170596,0.0015151672],"category_scores_gemma":[0.0003732193,0.00008258343,0.00018920112,0.00031665602,0.00013244778,0.00022582443,0.0001087312,0.00019829723,0.00022159293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080072944,0.0000547894,0.0075708046,0.00013789523,0.00003060718,0.0005151464,0.00025734815,0.0015727741,0.9778602,0.000049967548,0.00014379411,0.011005822],"study_design_scores_gemma":[0.000009013814,0.0017145687,0.068838984,0.000016114933,0.000044531513,0.00054919545,0.0003635191,0.0038532608,0.92361706,0.000060126404,0.00091278285,0.000020934276],"about_ca_topic_score_codex":0.0005363679,"about_ca_topic_score_gemma":0.000594504,"teacher_disagreement_score":0.0015151672,"about_ca_system_score_codex":0.00012479644,"about_ca_system_score_gemma":0.000056706984,"threshold_uncertainty_score":0.005068779},"labels":[],"label_agreement":null},{"id":"W2513886830","doi":"10.3390/en9080642","title":"Capacitor Current Feedback-Based Active Resonance Damping Strategies for Digitally-Controlled Inductive-Capacitive-Inductive-Filtered Grid-Connected Inverters","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Energiteknologisk udviklings- og demonstrationsprogram; Deutsche Forschungsgemeinschaft","keywords":"Control theory (sociology); Capacitor; Capacitive sensing; Harmonics; Inverter; Pulse-width modulation; Engineering; Voltage source; Filter (signal processing); Electronic engineering; Voltage; Computer science; Electrical engineering; Control (management)","score_opus":0.014664253020084306,"score_gpt":0.2145707962982969,"score_spread":0.19990654327821258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513886830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03927276,0.005124925,0.9420193,0.00010314255,0.00009651773,0.00010144474,0.00003644214,0.0008104345,0.012434956],"genre_scores_gemma":[0.9397076,0.0018089832,0.05504701,0.00006436084,0.000059428472,0.000066430606,0.00003662372,0.00003581848,0.0031736714],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999001,0.0000138357045,0.0000072496637,0.000022769533,0.00004701868,0.000009105715],"domain_scores_gemma":[0.99987876,0.000043905904,0.000029653589,0.000007909821,0.000035125722,0.0000045987435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016127908,0.000536689,0.00028835176,0.00043604642,0.00027612603,0.00045319003,0.0006655577,0.00030772225,0.0020538394],"category_scores_gemma":[0.00028767518,0.00012264359,0.0002315367,0.00029656326,0.00022107591,0.00040006955,0.0002336635,0.0002773627,0.00028550843],"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":[0.0002918162,0.00025071585,0.00042596212,0.0017961087,0.00008100994,0.00018613964,0.00037085745,0.10606035,0.1761089,0.018716644,0.0024456878,0.69326586],"study_design_scores_gemma":[0.00013654015,0.0012655914,0.0013607219,0.00021382043,0.00016046653,0.00041886012,0.00010552525,0.8666665,0.090624414,0.006644309,0.03233713,0.00006613288],"about_ca_topic_score_codex":0.0009103913,"about_ca_topic_score_gemma":0.0015497827,"teacher_disagreement_score":0.0020538394,"about_ca_system_score_codex":0.00036588046,"about_ca_system_score_gemma":0.00016937764,"threshold_uncertainty_score":0.0068707466},"labels":[],"label_agreement":null},{"id":"W2518285773","doi":"10.3390/en9090711","title":"Chemical Flooding in Heavy-Oil Reservoirs: From Technical Investigation to Optimization Using Response Surface Methodology","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":51,"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":"Petroleum engineering; Flooding (psychology); Water flooding; Response surface methodology; Environmental science; Geology; Computer science","score_opus":0.05095097177731975,"score_gpt":0.2911049913215232,"score_spread":0.24015401954420343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518285773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39875528,0.002857418,0.5842471,0.00066903234,0.00006583478,0.00041606522,0.00023495065,0.00055784255,0.012196504],"genre_scores_gemma":[0.91213965,0.0017264829,0.08327763,0.0000620329,0.000023075809,0.00048221793,0.00015938198,0.00006252128,0.0020671082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975795,0.00009274437,0.000012832192,0.000030472575,0.000069842485,0.00003613759],"domain_scores_gemma":[0.9994456,0.0004164912,0.000052805175,0.000019473015,0.00005209937,0.000013604887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009782596,0.0007204016,0.00091282075,0.0005781802,0.00029268363,0.00092539156,0.0007610179,0.0011404397,0.0010468045],"category_scores_gemma":[0.0011866784,0.0004430723,0.0010560945,0.0006659492,0.0004950605,0.0004559713,0.00066303037,0.0006891483,0.00017090733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003484849,0.00006507824,0.0006268372,0.00020612981,0.000018371185,0.00007098618,0.000020676227,0.9852036,0.0052915323,0.00085101323,0.00009413329,0.0075167143],"study_design_scores_gemma":[0.0000050133262,0.00005353982,0.0001634403,0.000005374642,0.0000055937403,0.000006672362,0.00001488992,0.9982108,0.001093059,0.0002584844,0.0001789781,0.0000041845983],"about_ca_topic_score_codex":0.0025633958,"about_ca_topic_score_gemma":0.0017400351,"teacher_disagreement_score":0.0025633958,"about_ca_system_score_codex":0.0004443086,"about_ca_system_score_gemma":0.00069784187,"threshold_uncertainty_score":0.0051736236},"labels":[],"label_agreement":null},{"id":"W2523094825","doi":"10.3390/en9100762","title":"Energy-Efficient Speed Profile Approximation: An Optimal Switching Region-Based Approach with Adaptive Resolution","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Regenerative brake; Mode (computer interface); Control theory (sociology); Brake; Point (geometry); Computer science; Energy (signal processing); Optimal control; Energy consumption; Automotive engineering; Mathematical optimization; Engineering; Control (management); Mathematics; Electrical engineering","score_opus":0.013353291720572716,"score_gpt":0.18535483076409792,"score_spread":0.17200153904352522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523094825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031024546,0.0000638711,0.99559444,0.000034503322,0.000010418163,0.000012032333,0.000007739536,0.00010100331,0.0010735876],"genre_scores_gemma":[0.5530172,0.0002635918,0.44306025,0.00010112193,0.00006265585,0.00015457209,0.00008765816,0.00015290173,0.0031000907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997199,0.00008737683,0.000015509906,0.000049757666,0.000092838,0.00003459855],"domain_scores_gemma":[0.9995165,0.0002821461,0.000052082003,0.000051910723,0.0000781669,0.000019191022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007113141,0.00057646696,0.0008566558,0.0005078788,0.0003102997,0.0008275865,0.0012693511,0.00076482823,0.0021415479],"category_scores_gemma":[0.0022385493,0.00040407412,0.0006446707,0.0005574628,0.00044962243,0.0010235923,0.00094422,0.001216315,0.0004129961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078336205,0.000036354337,0.00032062695,0.000058303867,0.00002278583,0.00004464782,0.00008101069,0.90509737,0.003524373,0.016890978,0.00078378356,0.073061556],"study_design_scores_gemma":[0.0000019140964,0.0000053710737,0.00001304991,0.0000016638332,0.0000013271664,0.000004876144,0.000002243269,0.9986626,0.0002211981,0.00089123205,0.00019275918,0.0000017953924],"about_ca_topic_score_codex":0.0032173512,"about_ca_topic_score_gemma":0.0018167063,"teacher_disagreement_score":0.0032173512,"about_ca_system_score_codex":0.00057805784,"about_ca_system_score_gemma":0.0006520759,"threshold_uncertainty_score":0.0071641207},"labels":[],"label_agreement":null},{"id":"W2523107619","doi":"10.3390/en9090760","title":"Investigation of Energy and Environmental Potentials of a Renewable Trigeneration System in a Residential Application","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Ministry of Land, Infrastructure and Transport","keywords":"TRNSYS; Renewable energy; Chiller; Environmental science; Photovoltaic system; Electricity; Heat pump; Boiler (water heating); Chilled water; Waste management; Environmental engineering; Automotive engineering; Engineering; Heat exchanger; Water cooling; Thermal; Meteorology; Electrical engineering; Mechanical engineering","score_opus":0.004277273286164283,"score_gpt":0.1539934495751618,"score_spread":0.14971617628899753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523107619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944405,0.000045937806,0.0020916986,0.000018441719,0.0000034607835,0.000012938375,0.00009173234,0.000045300112,0.0032500685],"genre_scores_gemma":[0.9986745,0.000040864597,0.00057334686,0.0000024052847,4.809308e-7,0.000004352124,0.00003960748,0.000004289838,0.00066013884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999094,0.00001965546,0.0000035523665,0.000015576294,0.00002821697,0.000023562112],"domain_scores_gemma":[0.99989486,0.00004356551,0.00001132024,0.000011890694,0.000030581385,0.000007765647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119006225,0.00026612318,0.00031227744,0.00027385034,0.0003368478,0.00043058934,0.00029152038,0.0003154856,0.001463441],"category_scores_gemma":[0.00020434435,0.00010424634,0.0003291778,0.00056254125,0.00020976186,0.0003795917,0.0001768087,0.00016359724,0.00016504688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000900183,0.00033039573,0.03253749,0.0003328791,0.00008976211,0.0014590039,0.00020813767,0.7825773,0.13604727,0.0019402914,0.0007762527,0.042801134],"study_design_scores_gemma":[0.000052761316,0.0010831305,0.05285769,0.000017254382,0.00013380393,0.00031762267,0.0008817889,0.82969284,0.111336425,0.000588561,0.00299626,0.000041907708],"about_ca_topic_score_codex":0.012059935,"about_ca_topic_score_gemma":0.023794163,"teacher_disagreement_score":0.012059935,"about_ca_system_score_codex":0.00058713404,"about_ca_system_score_gemma":0.0003359352,"threshold_uncertainty_score":0.023979485},"labels":[],"label_agreement":null},{"id":"W2527209545","doi":"10.3390/en9100790","title":"Sustainability Enhancement of a Turbine Vane Manufacturing Cell through Digital Simulation-Based Design","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Ministero dell’Istruzione, dell’Università e della Ricerca; Queen's University Belfast; Università degli Studi di Napoli Federico II","keywords":"Digital manufacturing; Manufacturing engineering; Energy consumption; Workcell; Engineering; Efficient energy use; Sustainability; Systems engineering; Industrial engineering; Computer science; Robot; Artificial intelligence","score_opus":0.01168223608806864,"score_gpt":0.21078055622678485,"score_spread":0.1990983201387162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527209545","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2127393,0.00027600522,0.7618784,0.0002033891,0.000071954135,0.00018387279,0.00019186578,0.0011167359,0.023338461],"genre_scores_gemma":[0.92692536,0.00021030399,0.06982919,0.000029921097,0.000004837893,0.00014486494,0.00010707332,0.000035806526,0.002712657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998441,0.000053915264,0.000007480672,0.00001945137,0.00005739737,0.000017634193],"domain_scores_gemma":[0.999846,0.00006373676,0.000018650946,0.00002874562,0.000029293853,0.000013546936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002722963,0.00040049484,0.00034941063,0.00037642897,0.00024784793,0.00077565445,0.0005613968,0.0005394372,0.0018965771],"category_scores_gemma":[0.00045560027,0.0001745425,0.00053491356,0.00019392006,0.00039694397,0.0003274107,0.00054116733,0.00019876556,0.00017481332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003560692,0.000029416547,0.00077929854,0.00004381047,0.000013393281,0.00006132765,0.00005518465,0.9784267,0.00704705,0.002636695,0.0001007058,0.01077082],"study_design_scores_gemma":[0.000009460804,0.00005267546,0.00031114096,0.000008479502,0.000011433161,0.000022391061,0.00002374038,0.9926415,0.003549741,0.0009791947,0.002382063,0.000008147956],"about_ca_topic_score_codex":0.0028411653,"about_ca_topic_score_gemma":0.002591158,"teacher_disagreement_score":0.0028411653,"about_ca_system_score_codex":0.0005177263,"about_ca_system_score_gemma":0.00065465795,"threshold_uncertainty_score":0.0063447356},"labels":[],"label_agreement":null},{"id":"W2529914423","doi":"10.3390/en9100820","title":"Electric Circuit Model for the Aerodynamic Performance Analysis of a Three-Blade Darrieus-Type Vertical Axis Wind Turbine: The Tchakoua Model","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aerodynamics; Vertical axis wind turbine; Rotor (electric); Computational fluid dynamics; Turbine; Wind power; Wind tunnel; MATLAB; Aerospace engineering; Vertical axis; Engineering; Marine engineering; Mechanical engineering; Computer science; Electrical engineering; Engineering drawing","score_opus":0.02177061126329678,"score_gpt":0.2246316332915866,"score_spread":0.20286102202828984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529914423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03937228,0.0007033219,0.9111003,0.00030351937,0.00015588773,0.00012395735,0.00036406037,0.0007012938,0.04717539],"genre_scores_gemma":[0.905319,0.0011278836,0.045886636,0.00015883551,0.00009236131,0.0003481261,0.00043407793,0.00019142492,0.046441592],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999125,0.00001523259,0.0000031005554,0.000015044906,0.000044482098,0.000009607074],"domain_scores_gemma":[0.99989593,0.000036851383,0.0000151569575,0.000010792511,0.00003580448,0.0000055508485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012868203,0.00052075024,0.0003612247,0.00035917174,0.0003105569,0.0005588074,0.0009463937,0.0009565149,0.0035391673],"category_scores_gemma":[0.00036413936,0.00017038338,0.0004541189,0.00029968176,0.00029009697,0.00068779016,0.00022851257,0.0005387343,0.0010556987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023742186,0.000032877433,0.0004282114,0.0000722234,0.000012268282,0.00018906759,0.00007239056,0.9370485,0.0152036315,0.026812868,0.0013155,0.018788712],"study_design_scores_gemma":[0.0000038142423,0.000019412984,0.00014508219,0.000004871322,0.000003711402,0.000040511564,0.000008519361,0.99419194,0.00065437023,0.0016288286,0.0032953327,0.000003498587],"about_ca_topic_score_codex":0.002616506,"about_ca_topic_score_gemma":0.0025579846,"teacher_disagreement_score":0.0035391673,"about_ca_system_score_codex":0.0003800818,"about_ca_system_score_gemma":0.0005543264,"threshold_uncertainty_score":0.011839747},"labels":[],"label_agreement":null},{"id":"W2536181754","doi":"10.3390/en9100828","title":"A Novel Data Hierarchical Fusion Method for Gas Turbine Engine Performance Fault Diagnosis","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; University of Toronto; National Natural Science Foundation of China","keywords":"Data mining; Sensor fusion; Robustness (evolution); Fault (geology); Computer science; Machine learning; Artificial intelligence; Engineering","score_opus":0.02110362879282475,"score_gpt":0.2581878254553522,"score_spread":0.23708419666252745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536181754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004927869,0.00020238587,0.9939516,0.00006533098,0.000030737137,0.000038342903,0.00005169334,0.00029519093,0.00043688528],"genre_scores_gemma":[0.39359725,0.0004151929,0.60335684,0.00011354119,0.00008452693,0.00016317655,0.00045034685,0.00007046625,0.0017485642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998558,0.00016485085,0.0001611092,0.00034599658,0.00066442555,0.00010558828],"domain_scores_gemma":[0.99894816,0.00024131502,0.0001418887,0.000110637375,0.0005157051,0.00004221389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014903239,0.0008688825,0.000974294,0.0025287576,0.0005868065,0.0010818631,0.0013488078,0.001010882,0.0014391354],"category_scores_gemma":[0.003657689,0.00039476505,0.0015655347,0.0018221169,0.00048185678,0.0020213865,0.0016245787,0.0011545505,0.00039941008],"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":[0.00025525325,0.00011167535,0.0028494045,0.00028894193,0.00018977986,0.00028643524,0.00030083986,0.16046163,0.02859365,0.013979584,0.0019683058,0.7907145],"study_design_scores_gemma":[0.000013361698,0.0000613023,0.0011017018,0.00001548762,0.000043916196,0.000104951454,0.000036475987,0.984959,0.0069694533,0.0046989513,0.0019690262,0.000026320746],"about_ca_topic_score_codex":0.004269104,"about_ca_topic_score_gemma":0.0036479225,"teacher_disagreement_score":0.004269104,"about_ca_system_score_codex":0.000815992,"about_ca_system_score_gemma":0.0011882638,"threshold_uncertainty_score":0.008488476},"labels":[],"label_agreement":null},{"id":"W2553598124","doi":"10.3390/en9110934","title":"Analysis and Design of an Active Stabilizer for a Boost Power Converter System","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Key Science and Technology Program of Shaanxi Province; Aeronautical Science Foundation of China","keywords":"Control theory (sociology); Stabilizer (aeronautics); Electronic engineering; Electromagnetic interference; Filter (signal processing); EMI; LC circuit; Digital filter; Electric power system; Computer science; Engineering; Power (physics); Voltage; Capacitor; Electrical engineering","score_opus":0.005114252632965754,"score_gpt":0.18069532385761253,"score_spread":0.17558107122464678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553598124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028125113,0.00046354707,0.96166843,0.00012921299,0.000038959544,0.000103211794,0.000038158443,0.0005502936,0.008883034],"genre_scores_gemma":[0.9619775,0.00039151846,0.03323893,0.00004001919,0.000031498355,0.00011401897,0.000035711622,0.000045169,0.00412563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977976,0.000043972115,0.000010579428,0.000043066506,0.00010214857,0.000020485199],"domain_scores_gemma":[0.9998031,0.000071579,0.000034460714,0.000012741846,0.0000706881,0.000007415375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003534258,0.0006499032,0.0005847048,0.00044251178,0.0004984489,0.0010049633,0.00045506575,0.00053628,0.0037459203],"category_scores_gemma":[0.0005219797,0.00026416482,0.00051178696,0.00021834133,0.0004155752,0.00040831335,0.000308855,0.0004982371,0.00053190725],"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":[0.00024752558,0.0000727042,0.0012143465,0.0006979766,0.000106655556,0.0005174182,0.00032799368,0.76162994,0.11565726,0.02505536,0.0014279505,0.09304489],"study_design_scores_gemma":[0.000012386718,0.00011541105,0.00022161301,0.000013067569,0.000020800664,0.00004344261,0.000018195857,0.99152136,0.005934728,0.0009845615,0.0011063555,0.000007925851],"about_ca_topic_score_codex":0.0028001734,"about_ca_topic_score_gemma":0.0019956555,"teacher_disagreement_score":0.0037459203,"about_ca_system_score_codex":0.0006106558,"about_ca_system_score_gemma":0.0006306622,"threshold_uncertainty_score":0.01253134},"labels":[],"label_agreement":null},{"id":"W2555668771","doi":"10.3390/en9110962","title":"Linearization and Control of Series-Series Compensated Inductive Power Transfer System Based on Extended Describing Function Concept","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Linearization; Transfer function; Small-signal model; Robustness (evolution); Maximum power transfer theorem; Series (stratigraphy); Converters; Describing function; Voltage; Inverter; Engineering; Power (physics); Control engineering; Computer science; Electronic engineering; Nonlinear system; Control (management)","score_opus":0.008319866055536326,"score_gpt":0.1669756124668402,"score_spread":0.15865574641130387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555668771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025151294,0.0002041957,0.96517533,0.00009503456,0.000037133465,0.00006140692,0.00005167708,0.00043308156,0.0087909745],"genre_scores_gemma":[0.9591456,0.00032347703,0.033322994,0.000049700146,0.000026889933,0.00018371185,0.00008535772,0.00004515679,0.006817104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998436,0.00004143364,0.000008495126,0.000031370535,0.00006151984,0.000013621978],"domain_scores_gemma":[0.99990344,0.000032847765,0.000022587203,0.000013383776,0.000024886973,0.0000028935447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033086608,0.00045153312,0.0004122466,0.00017612184,0.00021729132,0.00056427956,0.0005860374,0.00029334877,0.0015128857],"category_scores_gemma":[0.00028823357,0.00017465271,0.0004788641,0.0001839813,0.00039843423,0.00045635854,0.00029705194,0.00045236005,0.00028150162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011519805,0.00006999467,0.00048273115,0.0003881914,0.000058705136,0.00032063338,0.00039821316,0.78718907,0.08432436,0.068367444,0.001721111,0.056564305],"study_design_scores_gemma":[0.000012806177,0.00010792994,0.00016291198,0.000010651377,0.000011593163,0.00006186067,0.00001726757,0.9871121,0.0068471627,0.0032390917,0.0024059126,0.000010787462],"about_ca_topic_score_codex":0.0012271964,"about_ca_topic_score_gemma":0.00073124404,"teacher_disagreement_score":0.0015128857,"about_ca_system_score_codex":0.00032531703,"about_ca_system_score_gemma":0.00032109566,"threshold_uncertainty_score":0.00506109},"labels":[],"label_agreement":null},{"id":"W2560102565","doi":"10.3390/en9121037","title":"Shear Resistance Properties of Modified Nano-SiO2/AA/AM Copolymer Oil Displacement Agent","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Materials science; Rheology; Polyacrylamide; Shearing (physics); Composite material; Shear rate; Copolymer; Polymer; Apparent viscosity; Chemical engineering; Polymer chemistry","score_opus":0.011906266250397098,"score_gpt":0.2037400372293746,"score_spread":0.1918337709789775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560102565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953157,0.0008289041,0.0029292544,0.00001965545,0.00001826683,0.000012647995,0.00008260699,0.000045091518,0.00074791675],"genre_scores_gemma":[0.9942994,0.00053074595,0.003741376,0.000018581206,0.000007785762,0.000015918513,0.00012798213,0.000013563106,0.0012445779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999335,0.000006481925,0.0000065071335,0.000016377726,0.000026658034,0.000010424473],"domain_scores_gemma":[0.9998915,0.00001946046,0.00004891104,0.0000057824113,0.000018872284,0.000015518575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011080046,0.00031925016,0.00010446785,0.00018904982,0.000059148104,0.00009980109,0.00008699017,0.00013537084,0.00068361673],"category_scores_gemma":[0.00017034278,0.000108461754,0.0001273006,0.00011634802,0.00008847511,0.00021901773,0.00008084373,0.0002051958,0.00018193951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018769693,0.000004431952,0.000078462996,0.00001824945,0.0000015045563,0.000013627246,0.000005645415,0.000054659267,0.99923587,0.000019575551,0.0000062795452,0.0005428451],"study_design_scores_gemma":[0.0000026960354,0.000090075446,0.0012190562,0.0000020975826,0.00000475631,0.000028235392,0.00000659183,0.00081319636,0.9973003,0.0000070075703,0.000523151,0.0000027872302],"about_ca_topic_score_codex":0.0002815494,"about_ca_topic_score_gemma":0.0006724329,"teacher_disagreement_score":0.00068361673,"about_ca_system_score_codex":0.00010147876,"about_ca_system_score_gemma":0.000074139134,"threshold_uncertainty_score":0.002286911},"labels":[],"label_agreement":null},{"id":"W2561870604","doi":"10.3390/en9121070","title":"A Decentralized Control Method for Distributed Generations in an Islanded DC Microgrid Considering Voltage Drop Compensation and Durable State of Charge","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":23,"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":"Microgrid; Voltage droop; Voltage drop; Voltage; State of charge; Engineering; Distributed generation; Control theory (sociology); Voltage compensation; Grid; Electrical impedance; Electronic engineering; Compensation (psychology); Node (physics); Computer science; Voltage source; Power (physics); Electrical engineering; Control (management); Battery (electricity); Renewable energy","score_opus":0.00839248090907615,"score_gpt":0.22606996549268987,"score_spread":0.21767748458361372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561870604","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016130676,0.00010752563,0.97997564,0.00008236448,0.000050325165,0.000055861925,0.000017544875,0.00028286898,0.0032971948],"genre_scores_gemma":[0.92662495,0.00012631659,0.06954491,0.000054865213,0.00007045357,0.00012996439,0.000048013324,0.000037774862,0.0033626955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975306,0.000041154788,0.000013420999,0.00007936273,0.00008910704,0.000023767056],"domain_scores_gemma":[0.9997733,0.0000422819,0.000044484732,0.000029479543,0.000091562964,0.000018885052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034493522,0.0006508543,0.0006209885,0.0002847285,0.0005643906,0.0005700459,0.0007450897,0.0004050319,0.0015203651],"category_scores_gemma":[0.00048518315,0.00020410542,0.00042139593,0.0002642041,0.0003472273,0.00049525755,0.00058631145,0.00050471275,0.00021370592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015783453,0.00012532789,0.00050270476,0.00017050299,0.00006315094,0.00023421212,0.00021888338,0.77219653,0.034483574,0.016392859,0.0022752394,0.17317922],"study_design_scores_gemma":[0.000022552129,0.000101406564,0.00013828419,0.000004834156,0.000011652277,0.000035864436,0.000010403657,0.9951683,0.0016901166,0.0017067188,0.0011017976,0.000007976898],"about_ca_topic_score_codex":0.0026985302,"about_ca_topic_score_gemma":0.0030785876,"teacher_disagreement_score":0.0026985302,"about_ca_system_score_codex":0.0004304018,"about_ca_system_score_gemma":0.00062054174,"threshold_uncertainty_score":0.0053656697},"labels":[],"label_agreement":null},{"id":"W2562782115","doi":"10.3390/en10010004","title":"Modeling of a Photovoltaic-Powered Electric Vehicle Charging Station with Vehicle-to-Grid Implementation","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":65,"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":"Università degli Studi dell'Aquila; University of Waterloo","keywords":"Charging station; Electric vehicle; Grid; Photovoltaic system; Flexibility (engineering); Automotive engineering; Software deployment; Smart grid; Vehicle-to-grid; Electrical engineering; Power (physics); Computer science; Engineering","score_opus":0.00549638254945095,"score_gpt":0.21056325670267392,"score_spread":0.20506687415322297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562782115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072763614,0.00051060814,0.80395937,0.0006261679,0.00025507068,0.00032544517,0.0013389593,0.0015123937,0.11870835],"genre_scores_gemma":[0.91169167,0.0007377605,0.029215043,0.00011921367,0.000052171417,0.00047880205,0.00069029775,0.00016621046,0.056848947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976,0.000055408622,0.0000148791605,0.000053351847,0.000074284646,0.000042113],"domain_scores_gemma":[0.9998784,0.000035197507,0.000018331204,0.000013730092,0.000041622814,0.000012713141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021129365,0.000738872,0.0007428087,0.00038178838,0.00062540954,0.0018584667,0.00227422,0.0020431955,0.010217606],"category_scores_gemma":[0.00039172647,0.00048501435,0.0010169981,0.00054938305,0.0005206771,0.00093866774,0.00091398257,0.0010526698,0.001982515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037787417,0.00002458921,0.00037713852,0.000060059174,0.000015284484,0.00018121656,0.00005205243,0.98391485,0.0020069724,0.009417172,0.0004226392,0.0034902503],"study_design_scores_gemma":[0.000014519535,0.000032254684,0.0001490274,0.000011191785,0.000012401191,0.00003968574,0.00002424033,0.9941797,0.0007289781,0.0019020349,0.0028982537,0.0000076158044],"about_ca_topic_score_codex":0.012317198,"about_ca_topic_score_gemma":0.005859522,"teacher_disagreement_score":0.012317198,"about_ca_system_score_codex":0.00090703793,"about_ca_system_score_gemma":0.0010824606,"threshold_uncertainty_score":0.034181297},"labels":[],"label_agreement":null},{"id":"W2566917986","doi":"10.3390/en9121062","title":"An Analysis Based on SD Model for Energy-Related CO2 Mitigation in the Chinese Household Sector","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Divisia index; Greenhouse gas; Natural resource economics; Energy consumption; Environmental science; Urbanization; Energy intensity; China; Consumption (sociology); Global warming; Climate change; Climate change mitigation; Emission intensity; Economics; Economic growth; Engineering; Geography","score_opus":0.007689259749911066,"score_gpt":0.22920762107647313,"score_spread":0.22151836132656208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566917986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63918287,0.0010994145,0.2907664,0.0014276662,0.00021749761,0.00020912972,0.0013788319,0.00051894196,0.06519933],"genre_scores_gemma":[0.99009764,0.000264026,0.0028603568,0.000044206903,0.00001854114,0.00009109608,0.00021024526,0.000027615366,0.0063863313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978775,0.000048305457,0.000010413485,0.000047386373,0.000041980435,0.00006423683],"domain_scores_gemma":[0.99971765,0.000095802505,0.00003050231,0.0000117416685,0.00012241483,0.000021856367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005528571,0.00073987956,0.00078840187,0.00069407723,0.0007462686,0.0012035932,0.0009938229,0.000909214,0.0044034584],"category_scores_gemma":[0.0008145882,0.0002889076,0.0013486075,0.0004426866,0.0005427333,0.0008741007,0.0010374379,0.0005216276,0.00023111829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025829024,0.000017790262,0.0017199902,0.00003686981,0.000021331078,0.0001062562,0.000042209565,0.98960495,0.00070062047,0.00510031,0.00035950498,0.0022643455],"study_design_scores_gemma":[0.0000045834154,0.00000900503,0.0003057686,0.0000026860562,0.000009723118,0.0000049196133,0.00001629616,0.99881244,0.00007576514,0.0005443024,0.00021127521,0.0000033229664],"about_ca_topic_score_codex":0.12958443,"about_ca_topic_score_gemma":0.033492118,"teacher_disagreement_score":0.12958443,"about_ca_system_score_codex":0.0018569044,"about_ca_system_score_gemma":0.0024004173,"threshold_uncertainty_score":0.25766033},"labels":[],"label_agreement":null},{"id":"W2580466148","doi":"10.3390/en10010142","title":"Study on the Adsorption, Diffusion and Permeation Selectivity of Shale Gas in Organics","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Adsorption; Kerogen; Permeation; Chemistry; Oil shale; Nanoporous; Diffusion; Chemical engineering; Thermal diffusivity; Thermodynamics; Organic chemistry; Membrane; Source rock; Geology","score_opus":0.01772334169760382,"score_gpt":0.23621745087682017,"score_spread":0.21849410917921636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580466148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997581,0.00090714544,0.001117,0.00001817551,0.0000031338511,0.0000031343411,0.000046868037,0.000008683625,0.00031492565],"genre_scores_gemma":[0.99729806,0.0008956301,0.0012915881,0.000012386557,0.0000025198892,0.0000051137204,0.00006022853,0.0000032820262,0.00043118309],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999063,0.000008588937,0.0000027156402,0.000021228407,0.000027668506,0.000033519278],"domain_scores_gemma":[0.9999217,0.000034693596,0.000014280856,0.0000035285557,0.000017255876,0.00000850517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014590083,0.00019173582,0.00020369171,0.00021021775,0.00017720836,0.0001568625,0.00017740446,0.00019527249,0.00054913387],"category_scores_gemma":[0.0001753176,0.000102679835,0.00025771436,0.00021780883,0.00015097384,0.00040630478,0.00015369555,0.00024861025,0.000103262115],"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":[0.00012323399,0.000026639349,0.0011930552,0.00018226179,0.000016736316,0.00009200552,0.000047371672,0.001372296,0.9939275,0.00033236956,0.000030110807,0.0026565131],"study_design_scores_gemma":[0.000010322538,0.00023579398,0.0062323064,0.000008689945,0.000029836228,0.00011619958,0.00010604669,0.022728747,0.9692031,0.000100462275,0.0012101493,0.000018405757],"about_ca_topic_score_codex":0.002490501,"about_ca_topic_score_gemma":0.0020247754,"teacher_disagreement_score":0.002490501,"about_ca_system_score_codex":0.00023889654,"about_ca_system_score_gemma":0.0001804358,"threshold_uncertainty_score":0.004952073},"labels":[],"label_agreement":null},{"id":"W2586498572","doi":"10.3390/en10020179","title":"Comparing Non-Steady State Emissions under Start-Up and Shut-Down Operating Conditions with Steady State Emissions for Several Industrial Sectors: A Literature Review","year":2017,"lang":"en","type":"review","venue":"Energies","topic":"Oil, Gas, and Environmental Issues","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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Shut down; Greenhouse gas; Waste management; Incineration; Production (economics); Environmental science; Electricity generation; Petrochemical; Hazardous waste; Engineering; Fugitive emissions; Environmental engineering; Power (physics); Process engineering","score_opus":0.10189514442827215,"score_gpt":0.3419011575760448,"score_spread":0.24000601314777265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586498572","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":[0.0020064162,0.99361163,0.0009695902,0.00033416075,0.00015213777,0.000027594064,0.00032234544,0.00002094976,0.002555144],"genre_scores_gemma":[0.011480335,0.98648757,0.00088112685,0.00019000267,0.000114100745,0.000029285839,0.0003744716,0.000010602694,0.0004325074],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984138,0.00024483784,0.00036599283,0.00031773033,0.0005704852,0.00008717159],"domain_scores_gemma":[0.9890426,0.0070670024,0.0015113822,0.0001911964,0.0020794887,0.000108401735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002473742,0.0012408993,0.001557479,0.010953692,0.0005457862,0.0025997914,0.0015226324,0.0015836797,0.0035431667],"category_scores_gemma":[0.0053335433,0.0006650977,0.002597457,0.012858741,0.00061495823,0.0028919505,0.00076888106,0.0008823941,0.0008055335],"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":[0.00015248274,0.00015795013,0.0047037723,0.20753169,0.00076727086,0.00042769147,0.00068837235,0.0034036746,0.0021429304,0.0057587647,0.014703937,0.7595614],"study_design_scores_gemma":[0.00002357124,0.0004997201,0.02995987,0.14051893,0.00544681,0.0022074175,0.0031640793,0.0025402545,0.0069587147,0.005080252,0.80335945,0.00024093415],"about_ca_topic_score_codex":0.0075653316,"about_ca_topic_score_gemma":0.010416402,"teacher_disagreement_score":0.010953692,"about_ca_system_score_codex":0.001399387,"about_ca_system_score_gemma":0.004408573,"threshold_uncertainty_score":0.015042543},"labels":[],"label_agreement":null},{"id":"W2588767407","doi":"10.3390/en10020223","title":"Alkaline Earth Element Adsorption onto PAA-Coated Magnetic Nanoparticles","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Maersk Oil","keywords":"Adsorption; Polyacrylic acid; Electrolyte; Nanoparticle; Chemistry; Inorganic chemistry; Aqueous solution; Magnetic nanoparticles; Chemical engineering; Iron oxide nanoparticles; Surface charge; Polymer; Organic chemistry","score_opus":0.013356175188192407,"score_gpt":0.22829189283004958,"score_spread":0.21493571764185718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588767407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198216,0.0005662464,0.0061683594,0.000053613483,0.000020684036,0.000021227557,0.000047140915,0.000054550448,0.0010859475],"genre_scores_gemma":[0.9928861,0.0003261091,0.005012665,0.000041386404,0.000014928447,0.000016392174,0.000102896025,0.000019901132,0.0015796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979204,0.000022600025,0.000009732189,0.000053134307,0.00008366106,0.000038848688],"domain_scores_gemma":[0.9998435,0.000057483063,0.000026126036,0.0000145377235,0.000047330792,0.000011109835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015147246,0.00026513194,0.00028472443,0.00020090242,0.00021243782,0.00025224686,0.00031262537,0.0003455181,0.00065075455],"category_scores_gemma":[0.00035952768,0.00015902164,0.0002691292,0.00010001564,0.00018417998,0.00025705816,0.00016671969,0.00031650538,0.00039475283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017221537,0.000007630432,0.00007709963,0.000024750698,0.0000033375827,0.000015679221,0.000012070121,0.00007793112,0.9989679,0.000024303266,0.000010240175,0.0007617607],"study_design_scores_gemma":[0.0000017975345,0.0000582906,0.0006417794,0.000001328114,0.000004970911,0.000032340307,0.000010308153,0.0010923153,0.99768245,0.000013554516,0.00045815087,0.0000026630241],"about_ca_topic_score_codex":0.0009761457,"about_ca_topic_score_gemma":0.0009988287,"teacher_disagreement_score":0.0009761457,"about_ca_system_score_codex":0.00022933303,"about_ca_system_score_gemma":0.00011171773,"threshold_uncertainty_score":0.002177},"labels":[],"label_agreement":null},{"id":"W2593016058","doi":"10.3390/en10030331","title":"Signal-Based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Energiteknologisk udviklings- og demonstrationsprogram; Energistyrelsen","keywords":"Hydraulic accumulator; Leakage (economics); Wind power; Environmental science; Petroleum engineering; Marine engineering; Electrical engineering; Nuclear engineering; Engineering; Mechanical engineering","score_opus":0.01445646540986445,"score_gpt":0.24883967085333275,"score_spread":0.2343832054434683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593016058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17672274,0.0014554112,0.81715226,0.00022633326,0.00016654171,0.00009693663,0.00014089636,0.0020644327,0.001974479],"genre_scores_gemma":[0.787722,0.0007065822,0.20916194,0.00014784512,0.000080619066,0.000047521542,0.0001474524,0.000059645623,0.0019264441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997869,0.00003931632,0.00001256745,0.00003157351,0.000115625546,0.000014059621],"domain_scores_gemma":[0.99960274,0.00015182362,0.000054322627,0.000021893406,0.00015622827,0.000013056305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688599,0.00036134385,0.0002737723,0.00068218686,0.00021645488,0.00041618056,0.0004379366,0.0005462002,0.0005379633],"category_scores_gemma":[0.00086745067,0.00014273231,0.00019374503,0.00034811592,0.00025179752,0.0005473765,0.00023835391,0.00027322888,0.0003040023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045629943,0.00010540822,0.00408977,0.0005257487,0.000045298173,0.00028958762,0.00016557757,0.0220227,0.6204147,0.0015979795,0.00093412027,0.34935287],"study_design_scores_gemma":[0.000027011618,0.00052249257,0.004356406,0.000045423134,0.000043255433,0.0006143608,0.000057619236,0.27162436,0.7174306,0.00048188676,0.0047523887,0.000044200784],"about_ca_topic_score_codex":0.00035395703,"about_ca_topic_score_gemma":0.00069015624,"teacher_disagreement_score":0.00068218686,"about_ca_system_score_codex":0.00018213183,"about_ca_system_score_gemma":0.0002039852,"threshold_uncertainty_score":0.001799643},"labels":[],"label_agreement":null},{"id":"W2593673232","doi":"10.3390/en10030286","title":"Reduction of Furfural to Furfuryl Alcohol in Liquid Phase over a Biochar-Supported Platinum Catalyst","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Furfural; Furfuryl alcohol; Biochar; Chemistry; Catalysis; Furan; Platinum; Tetrahydrofuran; Selectivity; Toluene; Hydrogenolysis; Solvent; Pyrolysis; Organic chemistry","score_opus":0.014836636114466189,"score_gpt":0.27074482526072025,"score_spread":0.2559081891462541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593673232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903115,0.0010190872,0.0069424626,0.000066301596,0.000034348494,0.000018695178,0.0001416745,0.00006688357,0.0013990523],"genre_scores_gemma":[0.9956138,0.00048378654,0.0026017686,0.000011317401,0.0000061935034,0.0000058005735,0.00013723465,0.00001454464,0.001125558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998474,0.00001592575,0.0000117289555,0.000035833316,0.000058775964,0.000030346415],"domain_scores_gemma":[0.99994683,0.000013785774,0.000011681437,0.00000819711,0.000013271563,0.0000063075313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011932462,0.0002472296,0.00026318865,0.00018368455,0.00012834136,0.00026850385,0.0004075234,0.00032460663,0.00086963666],"category_scores_gemma":[0.00019182285,0.00012268148,0.00027020054,0.00018434128,0.00014105125,0.00033460732,0.00020201154,0.00034657132,0.000588408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059456546,0.000016029517,0.00018009901,0.00006911494,0.000009078885,0.00009845074,0.000012433601,0.00019840957,0.99672085,0.000048591806,0.000020683014,0.0025669802],"study_design_scores_gemma":[0.0000025888912,0.00008177116,0.00036058217,0.0000018517931,0.000006997037,0.00006546205,0.000009255717,0.0006637021,0.9983058,0.000011766095,0.00048817904,0.0000019966749],"about_ca_topic_score_codex":0.0006800963,"about_ca_topic_score_gemma":0.001269977,"teacher_disagreement_score":0.00086963666,"about_ca_system_score_codex":0.00025167462,"about_ca_system_score_gemma":0.00014731134,"threshold_uncertainty_score":0.0029091835},"labels":[],"label_agreement":null},{"id":"W2593966153","doi":"10.3390/en10030288","title":"The Production of Engineered Biochars in a Vertical Auger Pyrolysis Reactor for Carbon Sequestration","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Institut de Recherche et de Développement en Agroenvironnement","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; McGill University","keywords":"Biochar; Pyrolysis; Carbon sequestration; Biomass (ecology); Environmental science; Raw material; Carbon fibers; Syngas; Torrefaction; Pulp and paper industry; Waste management; Chemistry; Materials science; Carbon dioxide; Agronomy","score_opus":0.011217038250415815,"score_gpt":0.22219209478202342,"score_spread":0.2109750565316076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593966153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98594856,0.00016084431,0.0134092495,0.00001953363,0.000011877737,0.000022410693,0.0000807261,0.00005680717,0.00028993757],"genre_scores_gemma":[0.9818711,0.00019443288,0.017361898,0.00000589104,0.0000022594004,0.000020596292,0.000093117305,0.000009967469,0.00044064748],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987185,0.00001752417,0.000008311165,0.00003049983,0.00004593244,0.000025884621],"domain_scores_gemma":[0.9999522,0.000013321851,0.0000150134265,0.000005285217,0.000007571764,0.0000065295226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001796398,0.00033380472,0.00023226567,0.00013760476,0.0001345285,0.00032059063,0.00023122915,0.00030714716,0.00019258047],"category_scores_gemma":[0.00016398254,0.00013798081,0.0003604012,0.00019081135,0.00017596976,0.0001832708,0.00018871234,0.00034703253,0.000098315824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004333077,0.000037051534,0.0002268446,0.000036909125,0.000005918941,0.000025189958,0.000006174396,0.0038100367,0.99362564,0.00011259799,0.0000081087255,0.002062078],"study_design_scores_gemma":[0.000011405281,0.00031608556,0.0013161005,0.0000028423092,0.000014528196,0.000036103767,0.000011396951,0.020121427,0.97774225,0.0000593181,0.00036181306,0.0000066096254],"about_ca_topic_score_codex":0.001217735,"about_ca_topic_score_gemma":0.002337818,"teacher_disagreement_score":0.001217735,"about_ca_system_score_codex":0.00031274313,"about_ca_system_score_gemma":0.0003765562,"threshold_uncertainty_score":0.0024212599},"labels":[],"label_agreement":null},{"id":"W2596049287","doi":"10.3390/en11030489","title":"A Comparison of Thermal Models for Temperature Profiles in Gas-Lift Wells","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Gas lift; Artificial lift; Lift (data mining); Heat transfer; Mechanics; Thermodynamics; Mass transfer; Annulus (botany); Thermal; Petroleum engineering; Chemistry; Materials science; Engineering; Physics; Computer science","score_opus":0.017336973479142755,"score_gpt":0.27146156456712955,"score_spread":0.2541245910879868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596049287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38924843,0.0007005152,0.5955723,0.0003236694,0.00011827413,0.0001584134,0.0003852716,0.00065352104,0.012839607],"genre_scores_gemma":[0.975047,0.0002986077,0.021863393,0.000026943237,0.000011566501,0.00010994218,0.00015653289,0.00006311359,0.0024227567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998054,0.00006367785,0.000012919002,0.00003943353,0.00005446728,0.000024128025],"domain_scores_gemma":[0.9995353,0.00025904118,0.000035603513,0.00004037678,0.00010616208,0.000023460421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005416062,0.0006324659,0.0006181252,0.00031629635,0.00036115735,0.00066729385,0.0011640808,0.0010294925,0.0011496515],"category_scores_gemma":[0.0013819457,0.00035326008,0.00091754517,0.00037513647,0.00037859587,0.0011045719,0.0003857934,0.00083359,0.00029261052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042388532,0.00002346102,0.00059623946,0.000023612964,0.000006788066,0.000026016676,0.000028493725,0.9922042,0.0018080866,0.0018642321,0.000085785505,0.0032908383],"study_design_scores_gemma":[0.0000021732692,0.0000066517455,0.00008835538,0.0000016115919,0.0000013204154,0.0000035725175,0.0000051512443,0.9992919,0.0003073946,0.00020769208,0.00008121179,0.0000030536416],"about_ca_topic_score_codex":0.010507959,"about_ca_topic_score_gemma":0.005217029,"teacher_disagreement_score":0.010507959,"about_ca_system_score_codex":0.0009198126,"about_ca_system_score_gemma":0.00081535,"threshold_uncertainty_score":0.020893633},"labels":[],"label_agreement":null},{"id":"W2596274594","doi":"10.3390/en10030380","title":"A New Method to Monitor the Primary Neutral Integrity in Multi-Grounded Neutral Systems","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Alberta; Shandong University","keywords":"Ground; Neutral network; Transformer; Computer science; Electrical impedance; Voltage; Control theory (sociology); Electrical engineering; Engineering","score_opus":0.02731519237903766,"score_gpt":0.3104394038530603,"score_spread":0.2831242114740226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596274594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020525977,0.00035870165,0.97497284,0.00006670602,0.000084286774,0.00007181501,0.000077359466,0.001310263,0.0025320891],"genre_scores_gemma":[0.7758922,0.0005306165,0.21909796,0.00011161822,0.00009904258,0.00011379722,0.00015431279,0.00010284213,0.0038976015],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936444,0.000099828394,0.000030250236,0.00017870864,0.0003000757,0.000026698031],"domain_scores_gemma":[0.9995478,0.000094674535,0.00008592168,0.000072129,0.0001825371,0.000016901986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003238867,0.00082114176,0.000489602,0.0011732102,0.00027123606,0.00074044213,0.00082135847,0.0007478751,0.0014112681],"category_scores_gemma":[0.0011448784,0.00025305213,0.0003542634,0.0005843416,0.00034881837,0.001755948,0.0004760884,0.00047529128,0.00047550333],"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":[0.0004109969,0.000113377064,0.0068309912,0.00061727554,0.000108338165,0.00060874724,0.00040152826,0.032910503,0.37129363,0.012957097,0.0025540146,0.57119346],"study_design_scores_gemma":[0.00011386687,0.00088705326,0.007993399,0.00008021305,0.00021816212,0.0029559548,0.00018728642,0.73339355,0.22439191,0.008204574,0.021385783,0.0001882428],"about_ca_topic_score_codex":0.00049705926,"about_ca_topic_score_gemma":0.00048781876,"teacher_disagreement_score":0.0014112681,"about_ca_system_score_codex":0.00050048804,"about_ca_system_score_gemma":0.00022691784,"threshold_uncertainty_score":0.004721105},"labels":[],"label_agreement":null},{"id":"W2597567128","doi":"10.3390/en10030393","title":"International Electronical Committee (IEC) 61850 Mapping with Constrained Application Protocol (CoAP) in Smart Grids Based European Telecommunications Standard Institute Machine-to-Machine (M2M) Environment","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":25,"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":"Provincial Health Services Authority","keywords":"IEC 61850; Smart grid; Default gateway; Internetworking; MQTT; Computer science; Machine to machine; Communications protocol; Computer network; Automation; Home automation; Protocol (science); Embedded system; Engineering; Telecommunications; The Internet; Operating system; Internet of Things","score_opus":0.010645331144067084,"score_gpt":0.23873699598793352,"score_spread":0.22809166484386645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597567128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020340664,0.0043430836,0.6909573,0.0051687267,0.0036643131,0.003556899,0.0012959298,0.005654276,0.26501876],"genre_scores_gemma":[0.25466713,0.01311562,0.52590126,0.007053538,0.0018754178,0.008366018,0.011389427,0.0017619532,0.17586972],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931318,0.0020769977,0.0010551269,0.0005906844,0.0027580557,0.00038738622],"domain_scores_gemma":[0.99495345,0.0010277061,0.00041477423,0.0010735478,0.0023389,0.00019156291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062221503,0.001084854,0.0007315696,0.0019117693,0.00093762716,0.0038985743,0.0016327136,0.003980421,0.004708453],"category_scores_gemma":[0.0064564296,0.0004090881,0.0005437194,0.0023157222,0.0017345275,0.0026065377,0.0015808617,0.0026644012,0.0046938458],"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":[0.0005697905,0.00068512553,0.0026149855,0.0013336038,0.00007697801,0.0016128329,0.00085658213,0.019085074,0.029539984,0.37284395,0.1645842,0.40619692],"study_design_scores_gemma":[0.0001473022,0.0005623766,0.0023305626,0.0009060527,0.000096913274,0.001164713,0.0002211987,0.043014094,0.028052127,0.041694917,0.8816923,0.00011752134],"about_ca_topic_score_codex":0.002791771,"about_ca_topic_score_gemma":0.0015552678,"teacher_disagreement_score":0.0062221503,"about_ca_system_score_codex":0.0017953602,"about_ca_system_score_gemma":0.0049728067,"threshold_uncertainty_score":0.032906234},"labels":[],"label_agreement":null},{"id":"W2602129352","doi":"10.3390/en10030409","title":"Doping-Induced Isotopic Mg11B2 Bulk Superconductor for Fusion Application","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Superconductivity in MgB2 and Alloys","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; Board of Research in Nuclear Sciences; Department of Industry, Innovation and Science, Australian Government; Australian Research Council; King Saud University; Australian Academy of Science; Australian Government","keywords":"Superconductivity; Fusion power; Boron; Materials science; Doping; Magnet; Fusion; Nuclear engineering; Superconducting magnet; Flux pinning; Condensed matter physics; Critical current; Nuclear physics; Optoelectronics; Plasma; Physics","score_opus":0.030948067905499612,"score_gpt":0.3005059085761947,"score_spread":0.2695578406706951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602129352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885926,0.0017006714,0.0039782203,0.0000896204,0.00005912192,0.000058977133,0.00034468723,0.00010816987,0.005067795],"genre_scores_gemma":[0.99233925,0.0006073225,0.005004196,0.000024555744,0.000013536885,0.000031208456,0.0002789107,0.000029102435,0.0016719807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994266,0.0000075756716,0.0000045479983,0.000012900571,0.00002127117,0.000011067989],"domain_scores_gemma":[0.99995875,0.0000022960132,0.000011225795,0.0000052498913,0.000013282967,0.000009299316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008870702,0.000281883,0.00019434153,0.00027707568,0.00021362565,0.00019225609,0.00013505573,0.0002318369,0.00084326684],"category_scores_gemma":[0.000083760955,0.00014069903,0.00010194849,0.00027280668,0.0001271486,0.00014909686,0.00017600198,0.00018011729,0.00034652243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025235466,0.000005085577,0.00016154263,0.000051204926,0.0000027242584,0.000047584166,0.000011875695,0.00003290509,0.9986945,0.00013985204,0.00005727465,0.0007701603],"study_design_scores_gemma":[0.000011504963,0.00016605147,0.0014207105,0.0000108286495,0.000010448887,0.00017524738,0.000025258869,0.00045107648,0.9913952,0.000040985156,0.006288117,0.0000046971095],"about_ca_topic_score_codex":0.00052182854,"about_ca_topic_score_gemma":0.0016052229,"teacher_disagreement_score":0.00084326684,"about_ca_system_score_codex":0.0002273163,"about_ca_system_score_gemma":0.00019838271,"threshold_uncertainty_score":0.0028209686},"labels":[],"label_agreement":null},{"id":"W2604577833","doi":"10.3390/en10040447","title":"Hybridising Human Judgment, AHP, Grey Theory, and Fuzzy Expert Systems for Candidate Well Selection in Fractured Reservoirs","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Southwest Petroleum University; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation; National Natural Science Foundation of China","keywords":"Analytic hierarchy process; Fuzzy logic; Hydraulic fracturing; Selection (genetic algorithm); Hierarchy; Process (computing); Computer science; Data mining; Engineering; Operations research; Artificial intelligence; Petroleum engineering; Economics","score_opus":0.12031973385185718,"score_gpt":0.4335901784563225,"score_spread":0.3132704446044653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604577833","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":[0.19692913,0.0002204529,0.79966515,0.00026139186,0.00003861127,0.0002682304,0.00005264515,0.00019196069,0.0023725082],"genre_scores_gemma":[0.75906706,0.00010378312,0.24003503,0.00005134301,0.000016916683,0.0001401499,0.000046608115,0.000012658163,0.00052645383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99707437,0.0017915793,0.00015979673,0.00022071536,0.000619318,0.00013432566],"domain_scores_gemma":[0.9942854,0.004226385,0.00032629725,0.00018155704,0.00080008997,0.00018022835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005610254,0.00065211754,0.0009129851,0.002313849,0.0010825183,0.0013928136,0.00076402,0.00091047806,0.0010135445],"category_scores_gemma":[0.0107489,0.00041287858,0.0007411096,0.0014065866,0.0006988059,0.0013505914,0.0012259837,0.0007006226,0.00012875347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047084733,0.0004180772,0.0069760215,0.0004166592,0.00023381457,0.00032517774,0.0021740068,0.76467234,0.008775969,0.0088505,0.00073876086,0.20594785],"study_design_scores_gemma":[0.000026094109,0.00010092257,0.0008950872,0.000021351832,0.000027041822,0.00002148491,0.00026781697,0.9921874,0.0014149302,0.004668226,0.00034217827,0.000027495766],"about_ca_topic_score_codex":0.011260137,"about_ca_topic_score_gemma":0.015807327,"teacher_disagreement_score":0.011260137,"about_ca_system_score_codex":0.001425199,"about_ca_system_score_gemma":0.0023585677,"threshold_uncertainty_score":0.029670238},"labels":[],"label_agreement":null},{"id":"W2604720259","doi":"10.3390/en10040471","title":"Effects of Lean Zones on Steam-Assisted Gravity Drainage Performance","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation","keywords":"Injector; Petroleum engineering; Steam-assisted gravity drainage; Saturation (graph theory); Environmental science; Geology; Water injection (oil production); Oil sands; Steam injection; Drainage; Materials science; Engineering; Mechanical engineering; Mathematics","score_opus":0.00604043266006244,"score_gpt":0.20866440248489657,"score_spread":0.20262396982483413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604720259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954992,0.000091064205,0.003762512,0.000009881283,0.0000036161866,0.000004590195,0.000021692194,0.000058912836,0.00054855173],"genre_scores_gemma":[0.9994185,0.000029191326,0.0004358975,0.000001920363,4.331418e-7,0.0000013661039,0.000009378979,0.0000027257809,0.000100643585],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991035,0.000014219458,0.000007721487,0.000012964299,0.000028030645,0.000026725611],"domain_scores_gemma":[0.9997193,0.00013223352,0.00005105262,0.000020537987,0.000047282374,0.000029589712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016642538,0.00021185547,0.00021738186,0.000281536,0.0001614745,0.00035213318,0.00017094058,0.00014712155,0.00061794464],"category_scores_gemma":[0.0005191584,0.00010008395,0.00015849878,0.00022194585,0.0003145519,0.00035814938,0.00036443197,0.0001399181,0.000090314585],"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":[0.0015309763,0.00017842096,0.02799181,0.00034495935,0.000048147867,0.00034135216,0.00025596604,0.14974579,0.76420087,0.00067225005,0.00017022774,0.05451912],"study_design_scores_gemma":[0.000036515616,0.0013536485,0.035569172,0.000019123869,0.0000667593,0.00011592296,0.00045306186,0.23404151,0.7268332,0.00035515378,0.0011111842,0.000044891898],"about_ca_topic_score_codex":0.0010214949,"about_ca_topic_score_gemma":0.0016124876,"teacher_disagreement_score":0.0010214949,"about_ca_system_score_codex":0.00018115882,"about_ca_system_score_gemma":0.00016277272,"threshold_uncertainty_score":0.002067268},"labels":[],"label_agreement":null},{"id":"W2606352188","doi":"10.3390/en10040532","title":"Exergoeconomic Performance Comparison and Optimization of Single-Stage Absorption Heat Transformers","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Coefficient of performance; Heat exchanger; Exergy; Solver; Absorption refrigerator; Condenser (optics); Exergy efficiency; Second law of thermodynamics; Thermodynamics; Transformer; Evaporator; Mathematics; Process engineering; Mathematical optimization; Materials science; Engineering; Refrigerant; Physics; Electrical engineering","score_opus":0.012727003995658466,"score_gpt":0.219732504338631,"score_spread":0.20700550034297255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606352188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94913834,0.0004700459,0.036405727,0.00009906063,0.000022934406,0.000082189414,0.00039739616,0.00017443491,0.01320981],"genre_scores_gemma":[0.99625933,0.00008481316,0.0027873963,0.0000030580945,0.000001672361,0.00003135251,0.00006189572,0.000011594446,0.00075890165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980015,0.00005187082,0.0000128615375,0.000030044728,0.000057838603,0.000047237067],"domain_scores_gemma":[0.99972504,0.00016209966,0.000036004854,0.00001936418,0.00003948477,0.000018069448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045877515,0.00058952783,0.0007885785,0.0008426074,0.00036776534,0.0009253007,0.000725965,0.0006477908,0.0031977135],"category_scores_gemma":[0.00070146174,0.00031475318,0.00082470995,0.0008259951,0.0004357828,0.0005504726,0.00037607746,0.00029700663,0.00027289928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000257739,0.00008283937,0.0017715478,0.00019053645,0.000031697862,0.00012811142,0.000028273598,0.97329235,0.01207501,0.0011628326,0.00021546242,0.010763657],"study_design_scores_gemma":[0.000047183425,0.000519548,0.0029858816,0.000018481416,0.00005069874,0.00007394337,0.00008307986,0.9781083,0.016601717,0.00082660915,0.0006608441,0.000023711586],"about_ca_topic_score_codex":0.0029646226,"about_ca_topic_score_gemma":0.003844154,"teacher_disagreement_score":0.0031977135,"about_ca_system_score_codex":0.0008286554,"about_ca_system_score_gemma":0.0006099886,"threshold_uncertainty_score":0.010697365},"labels":[],"label_agreement":null},{"id":"W2606967503","doi":"10.3390/en10040511","title":"Comparative Study of Breakdown Voltage of Mineral, Synthetic and Natural Oils and Based Mineral Oil Mixtures under AC and DC Voltages","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":90,"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 of Population and Public Health; King Saud University","keywords":"Mineral oil; Weibull distribution; Voltage; Breakdown voltage; Transformer; Dielectric withstand test; Waveform; Dielectric strength; Dielectric; Materials science; Analytical Chemistry (journal); Chemistry; Mathematics; Electrical engineering; Engineering; Chromatography; Statistics; Optoelectronics; Metallurgy","score_opus":0.012215000639888394,"score_gpt":0.24592455759400905,"score_spread":0.23370955695412066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606967503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98846555,0.003922875,0.004989793,0.00003469482,0.000034468914,0.000016406468,0.00020045164,0.000061588464,0.0022740578],"genre_scores_gemma":[0.9967589,0.0009549515,0.0012928857,0.000015313894,0.000012442936,0.0000070805145,0.00013762762,0.000014549708,0.00080618967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999635,0.00004051095,0.000026078573,0.00005652959,0.0001922005,0.000049647744],"domain_scores_gemma":[0.9995079,0.00017029492,0.000055368982,0.000022141394,0.00020627513,0.000038011527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028890322,0.00025707434,0.0002895065,0.0008176608,0.00018386642,0.000294612,0.0002193818,0.0002906972,0.0010670328],"category_scores_gemma":[0.0007135502,0.00010771913,0.00020710599,0.00062599755,0.00019433764,0.0004774914,0.00018204085,0.00029164075,0.00022300157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008675045,0.000042573727,0.0032659196,0.00032103242,0.00003687374,0.00034231422,0.00014271986,0.0007557524,0.9745914,0.00020268493,0.000117055824,0.019314174],"study_design_scores_gemma":[0.00001211198,0.0012889804,0.016118042,0.000027172284,0.000065965614,0.0010398312,0.0003636494,0.004528086,0.97272825,0.00020301505,0.0036078042,0.000017097906],"about_ca_topic_score_codex":0.00033324127,"about_ca_topic_score_gemma":0.0003849543,"teacher_disagreement_score":0.0010670328,"about_ca_system_score_codex":0.00014354414,"about_ca_system_score_gemma":0.00008817696,"threshold_uncertainty_score":0.003569603},"labels":[],"label_agreement":null},{"id":"W2610637117","doi":"10.3390/en10050614","title":"Energy Return on Investment of Canadian Oil Sands Extraction from 2009 to 2015","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":18,"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 Calgary","funders":"China University of Petroleum, Beijing; National Natural Science Foundation of China; University of Calgary","keywords":"Oil sands; Extraction (chemistry); Environmental science; Fossil fuel; Petroleum engineering; Range (aeronautics); Investment (military); Unconventional oil; Mining engineering; Geology; Engineering; Waste management; Asphalt; Geography; Archaeology; Chemistry","score_opus":0.022921068161825903,"score_gpt":0.2944867325802703,"score_spread":0.27156566441844443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610637117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9323492,0.0014867547,0.0015918564,0.0007293347,0.000031439322,0.000044171615,0.033917096,0.00012606672,0.029724112],"genre_scores_gemma":[0.972008,0.0013108391,0.0007345155,0.00004713214,0.0000067232027,0.000010177033,0.013514112,0.000019725927,0.012348704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993418,0.000020607264,0.00002238372,0.00005370794,0.00040527678,0.00015621],"domain_scores_gemma":[0.9993036,0.00005700509,0.00012135124,0.000024226169,0.00044107798,0.000052640557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036541614,0.00035591383,0.00020689123,0.0014912368,0.0004597104,0.0012107557,0.00043211586,0.0002166535,0.0021241657],"category_scores_gemma":[0.0015583016,0.00017240347,0.00063566543,0.0025908821,0.00033376494,0.00047360733,0.00046200823,0.00037125006,0.00026439156],"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":[0.0009520551,0.000098739045,0.6703127,0.0005093202,0.0006530172,0.0012492932,0.0005250639,0.1574654,0.00667304,0.016200239,0.018788725,0.1265725],"study_design_scores_gemma":[0.000017317976,0.000062233536,0.9072138,0.00010780489,0.00018629768,0.00022672502,0.0014136104,0.03731153,0.0060458416,0.00083323795,0.046478298,0.0001032945],"about_ca_topic_score_codex":0.97096026,"about_ca_topic_score_gemma":0.9816011,"teacher_disagreement_score":0.02903974,"about_ca_system_score_codex":0.026749723,"about_ca_system_score_gemma":0.017624324,"threshold_uncertainty_score":0.19408375},"labels":[],"label_agreement":null},{"id":"W2619425639","doi":"10.3390/en10060767","title":"Modeling and Scaling of the Viscosity of Suspensions of Asphaltene Nanoaggregates","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asphaltene; Viscosity; Solvation; Suspension (topology); Relative viscosity; Intrinsic viscosity; Volume fraction; Chemistry; Neutron scattering; Chemical physics; Small-angle neutron scattering; Thermodynamics; Chemical engineering; Materials science; Scattering; Organic chemistry; Physical chemistry; Molecule; Composite material","score_opus":0.01573523390484752,"score_gpt":0.24902337650863943,"score_spread":0.2332881426037919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619425639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3725824,0.0008323062,0.620054,0.00021576874,0.000066583954,0.0001160452,0.00016833543,0.00039953133,0.005565047],"genre_scores_gemma":[0.9587306,0.00074410765,0.03766661,0.00002552788,0.000031871376,0.00013685563,0.00015357303,0.00006803825,0.0024428372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984777,0.000021456828,0.000012309452,0.00004565446,0.00005387912,0.000018958315],"domain_scores_gemma":[0.999775,0.00008171269,0.00005996472,0.000020516678,0.00004817483,0.0000147382425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025014262,0.0006285237,0.00043881522,0.0005099905,0.00021462176,0.00071035617,0.0005879049,0.0007617624,0.00023714142],"category_scores_gemma":[0.0006785978,0.00028993186,0.0006887705,0.000258614,0.00042942743,0.000785597,0.00031847073,0.00054188946,0.00013958309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001719824,0.00004233255,0.0008788255,0.000046681944,0.000012731549,0.00009647233,0.000055418208,0.9397981,0.049033605,0.004939819,0.00008947352,0.004989264],"study_design_scores_gemma":[7.3627007e-7,0.0000063814123,0.00014133425,8.226606e-7,0.0000013050891,0.000004962669,0.0000015730088,0.99792033,0.0016139364,0.00020784562,0.00009842024,0.0000023062892],"about_ca_topic_score_codex":0.0032184096,"about_ca_topic_score_gemma":0.0013203908,"teacher_disagreement_score":0.0032184096,"about_ca_system_score_codex":0.0007896921,"about_ca_system_score_gemma":0.00049545587,"threshold_uncertainty_score":0.0063993335},"labels":[],"label_agreement":null},{"id":"W2621706449","doi":"10.3390/en10060784","title":"DC Thermal Plasma Design and Utilization for the Low Density Polyethylene to Diesel Oil Pyrolysis Reaction","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Low-density polyethylene; Diesel fuel; Materials science; Pyrolysis; Analytical Chemistry (journal); Polyethylene; Chemistry; Waste management; Composite material; Organic chemistry","score_opus":0.025172738925672695,"score_gpt":0.23512240049808583,"score_spread":0.20994966157241313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621706449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7872447,0.0033934382,0.1943435,0.00037778367,0.00017500347,0.0004977449,0.0005563471,0.0012331557,0.01217819],"genre_scores_gemma":[0.9603371,0.00070220465,0.034604196,0.000058600457,0.000026190204,0.00016864568,0.00021310171,0.000067800385,0.0038221448],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997453,0.000017492433,0.000010012207,0.000083097446,0.00011609418,0.00002795624],"domain_scores_gemma":[0.9998698,0.000014164824,0.000032288266,0.000015469228,0.00005598494,0.000012160662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014959242,0.0002599883,0.00022249462,0.00021325487,0.0002008871,0.00035140294,0.0006391089,0.00024665415,0.0008395543],"category_scores_gemma":[0.00022821818,0.00017644609,0.0002056918,0.00028818796,0.00018245792,0.00031745763,0.00021514522,0.00030369032,0.0004203247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093057584,0.00003172433,0.00037368454,0.00022063278,0.0000072087328,0.00008366046,0.00004468679,0.00068905513,0.9841382,0.0005820477,0.0003300597,0.013406146],"study_design_scores_gemma":[0.000017109167,0.00024488554,0.0010460324,0.000004969625,0.00001178652,0.0003015777,0.000019433484,0.0046777567,0.9847206,0.000076741606,0.008869861,0.000009285766],"about_ca_topic_score_codex":0.0006291278,"about_ca_topic_score_gemma":0.0005254659,"teacher_disagreement_score":0.0008395543,"about_ca_system_score_codex":0.0005455194,"about_ca_system_score_gemma":0.00030909653,"threshold_uncertainty_score":0.0039580464},"labels":[],"label_agreement":null},{"id":"W2621969925","doi":"10.3390/en10060776","title":"Enhanced Microgrid Dynamic Performance Using a Modulated Power Filter Based on Enhanced Bacterial Foraging Optimization","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Power (physics); Power electronics; Dynamic demand; Distributed generation; Computer science; Energy storage; Engineering; Electronic engineering; Voltage; Electrical engineering; Renewable energy","score_opus":0.005516086155712394,"score_gpt":0.20177899482007022,"score_spread":0.19626290866435783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621969925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20009066,0.00037533854,0.78526974,0.00019732452,0.00004444057,0.00005265709,0.00002500607,0.00039491503,0.013549906],"genre_scores_gemma":[0.9707291,0.000080735466,0.027684962,0.00002007213,0.0000096432295,0.000028881272,0.000013369824,0.000013958122,0.0014193136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992824,0.00001635518,0.0000032142907,0.000012728175,0.000029321642,0.000010187687],"domain_scores_gemma":[0.9999434,0.000016107191,0.000013569681,0.0000049813493,0.000017647924,0.000004276683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013562628,0.0004382787,0.00029488036,0.00017191231,0.00019749926,0.00031496843,0.00032846964,0.0002811934,0.0009049071],"category_scores_gemma":[0.00026140682,0.00008780123,0.00021934396,0.00013044935,0.00015003556,0.0002612384,0.00021359268,0.00018820057,0.00015820644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021698639,0.00011836134,0.0013350276,0.00014609612,0.00006138498,0.00014780615,0.00012346439,0.7456413,0.11382393,0.0071463687,0.000939733,0.1302996],"study_design_scores_gemma":[0.00000978211,0.00010666902,0.00024142377,0.0000039054125,0.000007859974,0.000023090757,0.000007309803,0.9935557,0.004757676,0.00045850652,0.0008242754,0.0000036982824],"about_ca_topic_score_codex":0.0008598955,"about_ca_topic_score_gemma":0.00095566316,"teacher_disagreement_score":0.0009049071,"about_ca_system_score_codex":0.00025079792,"about_ca_system_score_gemma":0.00015934373,"threshold_uncertainty_score":0.0030272603},"labels":[],"label_agreement":null},{"id":"W2625803859","doi":"10.3390/en10060815","title":"A Non-Ventilated Solar Façade Concept Based on Selective and Transparent Insulation Material Integration: An Experimental Study","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University; Grantová Agentura České Republiky","keywords":"Overheating (electricity); Thermal; Thermal insulation; Low emissivity; Emissivity; Materials science; Passive solar building design; Selective surface; Radiation; Nuclear engineering; Optics; Environmental science; Composite material; Optoelectronics; Engineering; Electrical engineering; Meteorology; Physics; Layer (electronics)","score_opus":0.015300794007732809,"score_gpt":0.2532251273282088,"score_spread":0.23792433332047597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625803859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704546,0.000072732335,0.0023756775,0.000006103496,0.000012282376,0.00002613345,0.00006553484,0.000043358003,0.00035281436],"genre_scores_gemma":[0.99644095,0.000072375384,0.0027676933,0.000005406006,0.0000040074883,0.00002677187,0.00005653219,0.00001069479,0.00061558187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999711,0.00003905556,0.000011753253,0.000081575425,0.00010485716,0.000051665756],"domain_scores_gemma":[0.9997044,0.00004817336,0.00004818503,0.00006843662,0.00008670692,0.000044052624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024863065,0.00054154143,0.00039982476,0.00035597425,0.00021380212,0.0002849841,0.00056410825,0.00043017312,0.0016135557],"category_scores_gemma":[0.00028294843,0.00016542312,0.00029152093,0.00021761641,0.0004097211,0.0002896542,0.00031317244,0.00034707555,0.0002900079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004553419,0.0003171167,0.0013657815,0.00020260987,0.000020547288,0.00019264022,0.00013995987,0.0026832821,0.9881295,0.0001911872,0.000075075906,0.0062269145],"study_design_scores_gemma":[0.00008524735,0.007156704,0.020090768,0.000023962139,0.00007944722,0.00036644732,0.00030609613,0.007970601,0.9607709,0.00009867651,0.0030169939,0.0000342252],"about_ca_topic_score_codex":0.0004229971,"about_ca_topic_score_gemma":0.00060738146,"teacher_disagreement_score":0.0016135557,"about_ca_system_score_codex":0.00018170098,"about_ca_system_score_gemma":0.00014946026,"threshold_uncertainty_score":0.005397916},"labels":[],"label_agreement":null},{"id":"W2657873105","doi":"10.3390/en10070835","title":"Economic Optimization of Component Sizing for Residential Battery Storage Systems","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Technische Universität München; Nanyang Technological University","keywords":"Photovoltaic system; Sizing; Battery (electricity); Energy storage; Automotive engineering; State of charge; Dimensioning; Reliability engineering; Engineering; Computer science; Process engineering; Electrical engineering; Power (physics)","score_opus":0.020412323915217093,"score_gpt":0.26939438080043115,"score_spread":0.24898205688521408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2657873105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22270486,0.0016888425,0.73355407,0.0003781308,0.00006712232,0.00030363875,0.00041105677,0.0003967287,0.04049558],"genre_scores_gemma":[0.9374331,0.0004708459,0.05637779,0.000039663744,0.000014670686,0.00017979933,0.00016844788,0.000071427494,0.005244367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997254,0.00011293249,0.000009985545,0.000033644348,0.00008310618,0.00003489036],"domain_scores_gemma":[0.99966395,0.00023474821,0.00003276226,0.000014629582,0.000043881064,0.000010019071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665797,0.00085201,0.0006752937,0.0007312009,0.00027250772,0.001127174,0.00049232173,0.00050171296,0.0033299192],"category_scores_gemma":[0.0014418873,0.00053746946,0.0005899854,0.0008089365,0.0003821276,0.00058477256,0.00037734408,0.00048193033,0.00033087807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004046372,0.000023932684,0.00016038118,0.000046273155,0.000010743262,0.000020119636,0.00000941847,0.9866328,0.0014300825,0.001958464,0.00025051343,0.009416687],"study_design_scores_gemma":[0.000007071152,0.000036622245,0.00022078754,0.000004993097,0.000009105458,0.0000083747445,0.000014129155,0.99735284,0.00070791756,0.0012274113,0.00040674506,0.0000040596224],"about_ca_topic_score_codex":0.0031688695,"about_ca_topic_score_gemma":0.0051954943,"teacher_disagreement_score":0.0033299192,"about_ca_system_score_codex":0.0012179913,"about_ca_system_score_gemma":0.0010204639,"threshold_uncertainty_score":0.0111397505},"labels":[],"label_agreement":null},{"id":"W2697490839","doi":"10.3390/en10070845","title":"Performance Evaluation of a Modular Design of Wind Tower with Wetted Surfaces","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Concordia University","funders":"","keywords":"Tower; Relative humidity; Wind speed; Natural ventilation; Airflow; Environmental science; Modular design; Cooling tower; Meteorology; Wind direction; Marine engineering; Apparent temperature; Ventilation (architecture); Atmospheric sciences; Engineering; Structural engineering; Aerospace engineering; Computer science; Mechanical engineering; Geology; Water cooling; Geography","score_opus":0.0289944210359371,"score_gpt":0.24217001863419885,"score_spread":0.21317559759826174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2697490839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93033403,0.00029480664,0.06628041,0.000040325063,0.00011527641,0.00009691227,0.00023281501,0.0005192025,0.002086284],"genre_scores_gemma":[0.98249775,0.00008736747,0.016563425,0.000008733128,0.000009197511,0.000035008983,0.000115043855,0.00001914036,0.0006642996],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960476,0.000074223826,0.000028563267,0.00008590856,0.00014104255,0.000065485176],"domain_scores_gemma":[0.99903,0.00013248937,0.0002528767,0.00017263497,0.00031519876,0.00009686512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005344959,0.00087070797,0.0005208493,0.00061549444,0.00021647285,0.00039053368,0.0007280275,0.0005832732,0.0013833815],"category_scores_gemma":[0.0010263171,0.0002538118,0.0005829411,0.0002535883,0.0002180898,0.0004345379,0.00022851366,0.0001958563,0.00036810612],"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":[0.0013433961,0.00042207903,0.00835497,0.0008173399,0.000207875,0.0007751928,0.00017543786,0.19147593,0.70765114,0.0006728139,0.0013208041,0.08678301],"study_design_scores_gemma":[0.00037695954,0.019215029,0.042545125,0.00007862357,0.0004773363,0.001056559,0.00016779124,0.5846566,0.34352776,0.00034679548,0.0073992736,0.00015212271],"about_ca_topic_score_codex":0.0006171189,"about_ca_topic_score_gemma":0.0006970307,"teacher_disagreement_score":0.0013833815,"about_ca_system_score_codex":0.00027799545,"about_ca_system_score_gemma":0.00025390307,"threshold_uncertainty_score":0.004627943},"labels":[],"label_agreement":null},{"id":"W2726883673","doi":"10.3390/en10070868","title":"A Stochastic Programming Approach for the Planning and Operation of a Power to Gas Energy Hub with Multiple Energy Recovery Pathways","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power to gas; Energy storage; Renewable energy; Electricity; Energy accounting; Energy carrier; Process engineering; Electric power system; Computer science; Grid energy storage; Distributed generation; Stochastic programming; Energy recovery; Energy (signal processing); Energy engineering; Hydrogen technologies; Automotive engineering; Power (physics); Hydrogen fuel; Efficient energy use; Engineering; Hydrogen economy; Fuel cells; Mathematical optimization; Electrical engineering; Chemistry","score_opus":0.022106163052949997,"score_gpt":0.2316868804714421,"score_spread":0.2095807174184921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726883673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035395246,0.00070532825,0.95070165,0.0009885245,0.000121344725,0.00026489721,0.00047795268,0.00024476147,0.011100388],"genre_scores_gemma":[0.7893981,0.0013577032,0.19349518,0.00031360684,0.00015816011,0.0011820176,0.00070903875,0.00016795083,0.013218238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987924,0.00060824916,0.00004215176,0.00017212052,0.00018338952,0.00020166539],"domain_scores_gemma":[0.99662554,0.0026443705,0.00025442877,0.00003083141,0.00029129785,0.00015348343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029608335,0.0018748064,0.002171158,0.001209099,0.000803696,0.0022947895,0.0017198356,0.0020153767,0.0059960824],"category_scores_gemma":[0.0044965395,0.0020126125,0.0020477313,0.0015517259,0.0014666757,0.0011571606,0.0012536771,0.002502406,0.00044442868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010736355,0.0000065945987,0.000059746304,0.000010719761,0.000009510686,0.000017888953,0.0000052738174,0.99720937,0.000037083177,0.0019968182,0.000075272,0.00056107994],"study_design_scores_gemma":[0.000006766164,0.000013333111,0.000039851122,0.000003876428,0.000005296297,0.0000023333341,0.000007588904,0.9983113,0.0000226357,0.0014681803,0.00011497889,0.000004019757],"about_ca_topic_score_codex":0.051541544,"about_ca_topic_score_gemma":0.033910763,"teacher_disagreement_score":0.051541544,"about_ca_system_score_codex":0.0036686866,"about_ca_system_score_gemma":0.005184607,"threshold_uncertainty_score":0.102483034},"labels":[],"label_agreement":null},{"id":"W2732207723","doi":"10.3390/en10070854","title":"Influence of High Pressure and Temperature on the Mechanical Behavior and Permeability of a Fractured Coal","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Canadian Centre for Clean Coal/Carbon and Mineral Processing Technologies","keywords":"Coal; Thermal expansion; Permeability (electromagnetism); Materials science; Overburden pressure; Shear (geology); Shearing (physics); Brittleness; Composite material; Pyrolysis; Shear stress; Geotechnical engineering; Geology; Chemistry","score_opus":0.008682274590960527,"score_gpt":0.22151401123374503,"score_spread":0.2128317366427845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732207723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99942386,0.000050490093,0.00028570043,0.000006284435,0.000001081186,0.0000024798305,0.000041077958,0.0000052189957,0.00018379638],"genre_scores_gemma":[0.9995623,0.00003415123,0.00022695374,0.000002963274,5.281793e-7,0.0000021872686,0.000035203735,0.0000024234719,0.00013328073],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998253,0.000010920207,0.000006765861,0.000025930432,0.0001002314,0.00003087122],"domain_scores_gemma":[0.9997819,0.00005255081,0.000041303774,0.00001302961,0.00009040789,0.000020717507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690314,0.00016577855,0.00016251497,0.0002261002,0.00034560837,0.0003561083,0.00023010158,0.00022054411,0.00063595356],"category_scores_gemma":[0.00031978506,0.00020295929,0.000114105846,0.00023196802,0.0005001053,0.000182617,0.0001234579,0.00020901658,0.00007231996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022994338,0.000031328727,0.016792834,0.00004912745,0.000016190646,0.00018717366,0.00015932483,0.0019553464,0.9772884,0.00004336347,0.000034184093,0.0032127476],"study_design_scores_gemma":[0.000006683961,0.0003017413,0.378101,0.0000073826823,0.000025158815,0.00025772874,0.00055992015,0.0069338973,0.61325926,0.000048019123,0.0004793217,0.00002000376],"about_ca_topic_score_codex":0.016502153,"about_ca_topic_score_gemma":0.044513263,"teacher_disagreement_score":0.016502153,"about_ca_system_score_codex":0.00048212789,"about_ca_system_score_gemma":0.00041251077,"threshold_uncertainty_score":0.032812178},"labels":[],"label_agreement":null},{"id":"W2735538957","doi":"10.3390/en10071007","title":"An Open-Access Web-Based Tool to Access Global, Hourly Wind and Solar PV Generation Time-Series Derived from the MERRA Reanalysis Dataset","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Renewable energy; Meteorology; Photovoltaic system; Solar Resource; Wind power; Solar irradiance; Environmental science; Electricity generation; Computer science; Time series; Solar wind; Electricity; Engineering; Power (physics); Geography; Machine learning; Electrical engineering; Physics","score_opus":0.05322812620147447,"score_gpt":0.3460215986694662,"score_spread":0.2927934724679917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735538957","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033946026,0.00014196259,0.015461165,0.00018932237,0.00013518949,0.00016630524,0.93554395,0.041694723,0.0032728508],"genre_scores_gemma":[0.008389803,0.00015050375,0.018813172,0.00012309499,0.00004024938,0.00039438246,0.9683433,0.0023456444,0.0013996868],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939346,0.00008319451,0.000111424895,0.00014532491,0.00019802504,0.00006865972],"domain_scores_gemma":[0.99801147,0.00066939666,0.00019929536,0.0005067232,0.00043883064,0.00017424175],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0014056835,0.0014834986,0.0007138103,0.0034398278,0.0003684593,0.001461041,0.00165616,0.0010400608,0.022514837],"category_scores_gemma":[0.005470963,0.0004977973,0.0012427653,0.0053048604,0.00022626022,0.0021540064,0.0018661914,0.0014888934,0.021007495],"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":[0.00034197068,0.00020830477,0.0089352755,0.0010210956,0.0002875697,0.00020485814,0.00014999065,0.009925915,0.002387107,0.0038963004,0.91991216,0.052729364],"study_design_scores_gemma":[0.0004383628,0.000078757876,0.022874909,0.0002567277,0.00006934018,0.00022757398,0.00018398963,0.049899563,0.006327559,0.0100385845,0.90943664,0.00016807913],"about_ca_topic_score_codex":0.007025238,"about_ca_topic_score_gemma":0.012273315,"teacher_disagreement_score":0.9983438,"about_ca_system_score_codex":0.0006008123,"about_ca_system_score_gemma":0.0010962825,"threshold_uncertainty_score":0.07531965},"labels":[],"label_agreement":null},{"id":"W2736160599","doi":"10.3390/en10070973","title":"Power Take-Off Simulation for Scale Model Testing of Wave Energy Converters","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Damper; Engineering; Power (physics); Converters; Wave tank; Extrapolation; Simulation; Controller (irrigation); Energy (signal processing); Control engineering; Control theory (sociology); Automotive engineering; Computer science; Voltage; Electrical engineering; Control (management)","score_opus":0.03480608758552665,"score_gpt":0.23425822458686113,"score_spread":0.1994521370013345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736160599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43857518,0.00011389416,0.5346366,0.00025800758,0.000101481244,0.00041727792,0.0009683021,0.0050232555,0.019905996],"genre_scores_gemma":[0.9481157,0.000070987146,0.04783202,0.000028761351,0.0000054023717,0.00037376804,0.00034869777,0.00016672192,0.0030579097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999808,0.000042320073,0.0000102019785,0.000024145422,0.00009093618,0.000024331966],"domain_scores_gemma":[0.99957365,0.00023624739,0.00002906515,0.000069498084,0.000066997556,0.000024602803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035200312,0.0005299824,0.00043181752,0.00023666593,0.00025687268,0.0004958471,0.0008755957,0.0005127427,0.005941103],"category_scores_gemma":[0.00084436353,0.00021067185,0.00045337708,0.0002034454,0.00036490354,0.00050838594,0.00042903255,0.0007687517,0.00042387162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011910756,0.00014861052,0.0014903077,0.000130382,0.000018688823,0.00010172732,0.00011089464,0.9582171,0.023414165,0.0028441274,0.0009885326,0.012416389],"study_design_scores_gemma":[0.000021178777,0.00006834579,0.0003113294,0.0000043616105,0.0000043326695,0.000009302471,0.000014771513,0.99065256,0.0073593766,0.0004893671,0.0010598846,0.0000051961247],"about_ca_topic_score_codex":0.0038334813,"about_ca_topic_score_gemma":0.0026863485,"teacher_disagreement_score":0.005941103,"about_ca_system_score_codex":0.00044348088,"about_ca_system_score_gemma":0.00056415366,"threshold_uncertainty_score":0.01987493},"labels":[],"label_agreement":null},{"id":"W2736336048","doi":"10.3390/en10070957","title":"Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":153,"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":"Computer science; Renewable energy; Energy sector; Environmental economics; Grid; Resource (disambiguation); Operations research; Pipeline (software); Risk analysis (engineering); Industrial organization; Systems engineering; Management science; Economics; Business; Engineering","score_opus":0.01564606321082818,"score_gpt":0.2068008560931241,"score_spread":0.19115479288229592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736336048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433567,0.0006626849,0.01822889,0.001172098,0.00004358591,0.0001327469,0.0044941735,0.00013940522,0.031769767],"genre_scores_gemma":[0.99366754,0.000321469,0.0023716856,0.000045865476,0.0000059144677,0.00006621373,0.0006132784,0.000016301909,0.0028917508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998072,0.00008550978,0.000008390552,0.000028469776,0.000015383637,0.000055148223],"domain_scores_gemma":[0.9997868,0.000117786236,0.000030156223,0.00001704792,0.000020151943,0.000028129041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036387512,0.00076939707,0.00049565145,0.0006100031,0.00051705947,0.0016704513,0.0008560446,0.0020890187,0.0032862863],"category_scores_gemma":[0.0006123774,0.0003508081,0.0010295474,0.0012604953,0.00054939935,0.0014621107,0.00086658687,0.00082415575,0.00030088474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059656984,0.00003381357,0.002121837,0.000041031723,0.000026770376,0.00025087153,0.000049484835,0.9847996,0.00038102645,0.01038076,0.00049720984,0.0013579193],"study_design_scores_gemma":[0.00006588505,0.00007243977,0.0026907646,0.000046546007,0.00005098777,0.00004723533,0.00039857798,0.98726046,0.00060885056,0.0056682155,0.0030568223,0.000033219916],"about_ca_topic_score_codex":0.069871195,"about_ca_topic_score_gemma":0.041076746,"teacher_disagreement_score":0.069871195,"about_ca_system_score_codex":0.0031444305,"about_ca_system_score_gemma":0.0011356474,"threshold_uncertainty_score":0.13892901},"labels":[],"label_agreement":null},{"id":"W2736676561","doi":"10.3390/en10071013","title":"Optimal Power Flow Using Particle Swarm Optimization of Renewable Hybrid Distributed Generation","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":76,"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 of Population and Public Health; King Saud University","keywords":"Renewable energy; Particle swarm optimization; Photovoltaic system; Wind power; Automotive engineering; Distributed generation; Sensitivity (control systems); Electric power system; Computer science; Engineering; Power (physics); Electrical engineering; Electronic engineering","score_opus":0.018266682832965876,"score_gpt":0.23441313318764884,"score_spread":0.21614645035468297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736676561","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07632299,0.00027392252,0.9171434,0.00016955861,0.00007307941,0.00008444833,0.000057670823,0.00021968457,0.005655261],"genre_scores_gemma":[0.9193069,0.00014452012,0.07781824,0.00003866281,0.000030458616,0.00013322783,0.00009087645,0.000031224576,0.0024059012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998543,0.00006093315,0.0000069529165,0.000022601907,0.000037922106,0.000017291826],"domain_scores_gemma":[0.99971944,0.00017384456,0.00003784059,0.000011089352,0.000046002806,0.0000117497875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005992705,0.0005639317,0.00078179175,0.00043310435,0.00024890172,0.0007861943,0.00032882084,0.0006082991,0.0010255333],"category_scores_gemma":[0.00090758037,0.000398861,0.00047507745,0.00035105436,0.00042502416,0.00044262357,0.00031916497,0.00040430494,0.000114706185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001941382,0.000014421114,0.00014728204,0.000011060584,0.000011198831,0.0000127028225,0.000007186896,0.9950865,0.0002899128,0.0007378464,0.00008411637,0.0035783465],"study_design_scores_gemma":[0.0000042762304,0.000007242424,0.000028112714,7.199545e-7,0.0000011740797,7.603437e-7,0.0000011666784,0.9996735,0.000050009483,0.0001999685,0.0000323919,6.5893073e-7],"about_ca_topic_score_codex":0.007069841,"about_ca_topic_score_gemma":0.0051320167,"teacher_disagreement_score":0.007069841,"about_ca_system_score_codex":0.00053907436,"about_ca_system_score_gemma":0.0005328511,"threshold_uncertainty_score":0.014057338},"labels":[],"label_agreement":null},{"id":"W2736740475","doi":"10.3390/en10081089","title":"Transition of Future Energy System Infrastructure; through Power-to-Gas Pathways","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":172,"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 Waterloo","funders":"National Renewable Energy Laboratory","keywords":"Renewable energy; Power to gas; Base load power plant; Intermittent energy source; Pumped-storage hydroelectricity; Grid energy storage; Environmental science; Electricity generation; Wind power; Energy transition; Energy development; Energy storage; Natural gas; Electric power system; Nuclear power; Power station; Distributed generation; Power (physics); Engineering; Electrical engineering; Waste management; Chemistry","score_opus":0.008536516664938251,"score_gpt":0.21268062775544885,"score_spread":0.20414411109051062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736740475","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":[0.048169598,0.024865542,0.058055934,0.022450574,0.00092789414,0.00030678633,0.0007047686,0.00054926414,0.8439696],"genre_scores_gemma":[0.86824644,0.039935093,0.016252626,0.0014125893,0.00014753881,0.00013526958,0.00043748334,0.000110732486,0.07332226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972945,0.00005230247,0.00000880259,0.000033095683,0.00010189631,0.00007437985],"domain_scores_gemma":[0.99981064,0.000035554745,0.000024555677,0.000020024032,0.000073582465,0.00003569043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040501298,0.00027497983,0.00009797423,0.0006036493,0.00084448064,0.0022406485,0.00051620905,0.00081425067,0.0065952926],"category_scores_gemma":[0.0006426466,0.00013527548,0.00027256334,0.000998169,0.0016727494,0.0030779717,0.0010978741,0.00074663426,0.0007324224],"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":[0.000048002235,0.000036238067,0.0010753038,0.0007201177,0.000017215452,0.00040252195,0.00083192065,0.005531115,0.0021048686,0.86820924,0.018711336,0.102312155],"study_design_scores_gemma":[0.000012442641,0.00006955624,0.0017355108,0.00039402614,0.000016947588,0.00025093282,0.0015926162,0.002686237,0.0030345507,0.10136015,0.888824,0.000023025143],"about_ca_topic_score_codex":0.045241125,"about_ca_topic_score_gemma":0.07124845,"teacher_disagreement_score":0.045241125,"about_ca_system_score_codex":0.0060222144,"about_ca_system_score_gemma":0.0064626136,"threshold_uncertainty_score":0.08995557},"labels":[],"label_agreement":null},{"id":"W2741591995","doi":"10.3390/en10081137","title":"Development of the IBSAL-SimMOpt Method for the Optimization of Quality in a Corn Stover Supply Chain","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","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":"Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; National Institute of Food and Agriculture; Consejo Nacional de Ciencia y Tecnología; U.S. Department of Agriculture","keywords":"Supply chain; Biomass (ecology); Corn stover; Reliability (semiconductor); Raw material; Biorefinery; Quality (philosophy); Agricultural engineering; Process engineering; Reliability engineering; Computer science; Engineering; Waste management; Biofuel; Power (physics)","score_opus":0.02756535285904286,"score_gpt":0.29379800492648506,"score_spread":0.2662326520674422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741591995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02388674,0.000083524465,0.9715343,0.00007014227,0.000019008901,0.000097226635,0.00013093546,0.00064893987,0.0035290157],"genre_scores_gemma":[0.29330108,0.00009609942,0.7030061,0.00008400362,0.000017171018,0.00038512846,0.00034561017,0.00022236984,0.002542472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997925,0.00007475612,0.000009531422,0.000031335774,0.00006468295,0.000027114198],"domain_scores_gemma":[0.999501,0.0002973198,0.00004525907,0.00003023343,0.000102136844,0.000024068082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007380191,0.0008175,0.0006868849,0.0004955208,0.0002982563,0.0004801015,0.0009045813,0.00068437867,0.0031243924],"category_scores_gemma":[0.0015520916,0.00043541117,0.0008543741,0.00042471086,0.0002568548,0.00033156393,0.000691848,0.0007207093,0.00035780878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029711635,0.000030857198,0.00042361693,0.00004918051,0.000018516888,0.00003381752,0.0000150841015,0.9724037,0.0013196762,0.0011973693,0.0003215918,0.02415695],"study_design_scores_gemma":[0.0000048706324,0.000010170048,0.000038997867,0.000001947466,0.0000015646405,0.0000035522,0.000002977426,0.9993591,0.00019424359,0.00019717551,0.00018433563,0.0000011278102],"about_ca_topic_score_codex":0.008503893,"about_ca_topic_score_gemma":0.00979059,"teacher_disagreement_score":0.008503893,"about_ca_system_score_codex":0.0005987133,"about_ca_system_score_gemma":0.0013504783,"threshold_uncertainty_score":0.016908765},"labels":[],"label_agreement":null},{"id":"W2742561751","doi":"10.3390/en10081157","title":"Analysis of Cooling Effectiveness and Temperature Uniformity in a Battery Pack for Cylindrical Batteries","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plenum space; Battery pack; Inlet; Battery (electricity); Jet (fluid); Materials science; Vortex; Mechanics; Vortex generator; Electrical engineering; Physics; Mechanical engineering; Power (physics); Thermodynamics; Engineering","score_opus":0.013913394431559787,"score_gpt":0.2862653768500825,"score_spread":0.2723519824185227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742561751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96637607,0.00075716164,0.030918153,0.000025885085,0.000028958917,0.000036536632,0.00009599772,0.00018703748,0.0015742072],"genre_scores_gemma":[0.99231625,0.00028927313,0.006544267,0.0000071543227,0.0000044035455,0.00001832658,0.00008950647,0.00004175096,0.0006891169],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982613,0.000016882508,0.00000888668,0.000026948832,0.0000939426,0.000027174392],"domain_scores_gemma":[0.99972254,0.000078006946,0.000049658865,0.000029379982,0.00010962235,0.000010660084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024704201,0.00021864945,0.00034621762,0.00041320248,0.0001850808,0.00028051168,0.00031778894,0.00017106337,0.0010025635],"category_scores_gemma":[0.0008383784,0.00018283827,0.00024999076,0.00047616102,0.00023958908,0.0005694016,0.00015792988,0.00012944505,0.00020424344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045759176,0.000035523655,0.0036035827,0.00024824747,0.000020942995,0.0001370166,0.00011562363,0.012105027,0.955059,0.0003961269,0.00018521256,0.027636085],"study_design_scores_gemma":[0.00002135744,0.0010432239,0.023190593,0.000019302754,0.00005699789,0.00017768942,0.00013090545,0.06451374,0.9078191,0.0001312288,0.0028633173,0.000032513824],"about_ca_topic_score_codex":0.0008599423,"about_ca_topic_score_gemma":0.0011265218,"teacher_disagreement_score":0.0010025635,"about_ca_system_score_codex":0.00023038566,"about_ca_system_score_gemma":0.00020027261,"threshold_uncertainty_score":0.0033538938},"labels":[],"label_agreement":null},{"id":"W2743349201","doi":"10.3390/en10081176","title":"Risk Assessment of Micro Energy Grid Protection Layers","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Fault tree analysis; Hazard analysis; Grid; Electricity; Hazard; Energy (signal processing); Computer science; Risk assessment; Risk analysis (engineering); Environmental science; Engineering; Mathematics; Medicine","score_opus":0.005783999027681707,"score_gpt":0.20739624644665056,"score_spread":0.20161224741896885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743349201","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1948394,0.0004931409,0.7922966,0.0003115289,0.000026091056,0.00011574851,0.00026086692,0.00026843805,0.011388235],"genre_scores_gemma":[0.97580725,0.00017072607,0.022250181,0.000015739359,0.000009924664,0.000037548594,0.00008529097,0.000017265016,0.0016060999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929357,0.0002174034,0.000026182086,0.00009359315,0.00028889134,0.00008034558],"domain_scores_gemma":[0.9988927,0.00050449,0.00025501923,0.0001002236,0.00020689363,0.000040698495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010344929,0.000942523,0.0003719568,0.0009477685,0.00028936466,0.0010000436,0.00075854996,0.00050206314,0.0017108774],"category_scores_gemma":[0.002245249,0.000292514,0.0007547123,0.00037360878,0.00042931383,0.0013584185,0.0010116373,0.00049700664,0.00014701189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005299038,0.00001892846,0.003555186,0.000043540338,0.000042696807,0.0001117177,0.000063436244,0.95959973,0.0030555746,0.013678218,0.00036985503,0.019408122],"study_design_scores_gemma":[0.0000037462453,0.000048389647,0.0010163923,0.000012342413,0.000021005526,0.000065868815,0.000049468435,0.98748696,0.0018191586,0.008764941,0.00070302456,0.000008764192],"about_ca_topic_score_codex":0.0023068946,"about_ca_topic_score_gemma":0.001455406,"teacher_disagreement_score":0.0023068946,"about_ca_system_score_codex":0.0008630464,"about_ca_system_score_gemma":0.0007713256,"threshold_uncertainty_score":0.006261885},"labels":[],"label_agreement":null},{"id":"W2744308548","doi":"10.3390/en10081171","title":"A Techno-Economic Study of an Entirely Renewable Energy-Based Power Supply for North America for 2030 Conditions","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":111,"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":"Tekes","keywords":"Renewable energy; Environmental economics; Grid; Wind power; Photovoltaic system; Electricity; Cost of electricity by source; Fossil fuel; Electric power system; Population; Distributed generation; Electricity generation; Business; Engineering; Power (physics); Economics; Electrical engineering; Geography; Waste management","score_opus":0.01624356905433945,"score_gpt":0.27082758914959265,"score_spread":0.2545840200952532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744308548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9119657,0.001230041,0.020378785,0.0012845743,0.00007598582,0.00017480881,0.0016903357,0.0000906718,0.0631091],"genre_scores_gemma":[0.99218607,0.00045719443,0.0027852375,0.000055987868,0.000011891063,0.000066681736,0.00040561293,0.000015390191,0.004015748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969923,0.00013281792,0.000007423647,0.000039643506,0.00007432244,0.0000466069],"domain_scores_gemma":[0.9995993,0.00023232953,0.000048571736,0.00002170109,0.000073895,0.000024179504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005564049,0.00035638714,0.0003419741,0.0005697471,0.0004243153,0.0013599679,0.00045262036,0.00069243443,0.003347218],"category_scores_gemma":[0.0013049447,0.00023752655,0.00071287964,0.0012157492,0.0003624247,0.0010262267,0.00037815433,0.0005520762,0.00020636836],"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":[0.00019486915,0.00016665149,0.014145506,0.00018938843,0.00013069552,0.0006922779,0.000077923614,0.9399904,0.0017136135,0.02627346,0.0024135928,0.014011625],"study_design_scores_gemma":[0.000041312698,0.00043125826,0.028057847,0.000055580753,0.00010772668,0.00029146124,0.00077637925,0.95155746,0.0010738773,0.008519079,0.009041475,0.000046461297],"about_ca_topic_score_codex":0.037944026,"about_ca_topic_score_gemma":0.050071184,"teacher_disagreement_score":0.962056,"about_ca_system_score_codex":0.0031220957,"about_ca_system_score_gemma":0.0015672641,"threshold_uncertainty_score":0.07544631},"labels":[],"label_agreement":null},{"id":"W2746163771","doi":"10.3390/en10091268","title":"Modelling and Simulation of Electric Vehicle Fast Charging Stations Driven by High Speed Railway Systems","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Charging station; Work (physics); Transport engineering; Service (business); Automotive engineering; Power (physics); Electric vehicle; Electric power; Engineering; Computer science; Electrical engineering; Business","score_opus":0.019018235171422766,"score_gpt":0.2619033727854109,"score_spread":0.24288513761398817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746163771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4088059,0.0011586357,0.4766112,0.0008142149,0.000345723,0.0003241895,0.0019000581,0.0020886792,0.107951395],"genre_scores_gemma":[0.9760913,0.00044296792,0.007906051,0.000043892946,0.00001982987,0.00015893856,0.00046450828,0.000072788964,0.014799708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997279,0.000071858754,0.00001826866,0.000041438252,0.00007975581,0.00006079277],"domain_scores_gemma":[0.9996475,0.00015123979,0.00005308246,0.000022625265,0.00009920628,0.000026429576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032371227,0.00072668697,0.000900847,0.0006014001,0.00061826623,0.0014654108,0.0011026033,0.0017622598,0.005929332],"category_scores_gemma":[0.00078608154,0.000382689,0.0012312639,0.0006945868,0.0005300107,0.0007554448,0.00075394206,0.00089649676,0.0007557451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018584036,0.000013644274,0.00046983498,0.000028032355,0.000011393024,0.00011160133,0.000032492866,0.9964091,0.0005971046,0.0012021055,0.0001467067,0.00095941854],"study_design_scores_gemma":[0.000006580017,0.000022183787,0.00020250656,0.0000055669257,0.0000062111835,0.000017062694,0.000021774287,0.9986292,0.00021097895,0.000295941,0.00057794206,0.0000040343853],"about_ca_topic_score_codex":0.024349557,"about_ca_topic_score_gemma":0.009879062,"teacher_disagreement_score":0.024349557,"about_ca_system_score_codex":0.0008238393,"about_ca_system_score_gemma":0.0010596804,"threshold_uncertainty_score":0.04841566},"labels":[],"label_agreement":null},{"id":"W2748659289","doi":"10.3390/en10081222","title":"Quantifying Cathode Water Transport via Anode Relative Humidity Measurements in a Polymer Electrolyte Membrane Fuel Cell","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Montana State University; National Science Foundation","keywords":"Anode; Cathode; Relative humidity; Electrolyte; Water transport; Proton exchange membrane fuel cell; Pressure drop; Chemistry; Analytical Chemistry (journal); Drop (telecommunication); Humidity; Materials science; Chemical engineering; Water flow; Membrane; Chromatography; Thermodynamics; Environmental engineering; Electrode; Environmental science; Electrical engineering","score_opus":0.03389747825717843,"score_gpt":0.23745962379617536,"score_spread":0.20356214553899693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748659289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586185,0.0014076715,0.037582878,0.00010600843,0.00004787566,0.000066812274,0.0005408531,0.00034253637,0.0012868503],"genre_scores_gemma":[0.9787183,0.0018218101,0.01744357,0.000051070834,0.000016720993,0.000082226805,0.0002448225,0.00005333681,0.0015683358],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960524,0.000042410873,0.000014660748,0.00010810307,0.00018747046,0.000042140466],"domain_scores_gemma":[0.9998387,0.00006808073,0.000023864193,0.000013685468,0.000045140365,0.00001048227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035120765,0.0005029893,0.00043874787,0.0003756384,0.00028241452,0.0004943105,0.00053419033,0.0005324462,0.00055189105],"category_scores_gemma":[0.00045095952,0.0002121609,0.00018865116,0.000350963,0.0002722823,0.0005422121,0.00048062718,0.0006070793,0.00027930838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003278398,0.000014970203,0.00018797221,0.000053799653,0.000003590557,0.000032152828,0.000027842329,0.00025642672,0.9955379,0.00003938282,0.000021755028,0.0037914729],"study_design_scores_gemma":[0.0000016771678,0.0000580671,0.00035686258,0.0000019786212,0.0000035032167,0.000017268154,0.0000131503575,0.0012836056,0.99792105,0.000019159696,0.00031952016,0.000004308003],"about_ca_topic_score_codex":0.00077635737,"about_ca_topic_score_gemma":0.00076222233,"teacher_disagreement_score":0.00077635737,"about_ca_system_score_codex":0.00044057515,"about_ca_system_score_gemma":0.00022229,"threshold_uncertainty_score":0.0031965375},"labels":[],"label_agreement":null},{"id":"W2750428330","doi":"10.3390/en10081226","title":"A Sensitivity Analysis of a Computer Model-Based Leak Detection System for Oil Pipelines","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Water Systems and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline transport; Leak; Pipeline (software); Leak detection; Computer science; Sensitivity (control systems); Reliability engineering; Transient (computer programming); Engineering; Real-time computing; Mechanical engineering","score_opus":0.011918952284187873,"score_gpt":0.2074552469541271,"score_spread":0.19553629466993921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750428330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82846165,0.00031688606,0.1658674,0.00025103815,0.00002983579,0.0001798572,0.00032112497,0.0008356614,0.003736623],"genre_scores_gemma":[0.9973013,0.000029011906,0.0023346508,0.00001099944,0.0000012560143,0.000021059843,0.000042769865,0.00001112983,0.00024787468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989858,0.0004131395,0.00005209428,0.00015198757,0.00026108394,0.00013588666],"domain_scores_gemma":[0.9947643,0.0039048865,0.00031655564,0.00034511235,0.0006283188,0.000040898183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001958669,0.0007587712,0.0007022584,0.0008666852,0.00047678075,0.00085321884,0.000502846,0.00093099574,0.0012531196],"category_scores_gemma":[0.0076041743,0.0003958383,0.0008835134,0.00035003974,0.0005449218,0.00079625216,0.00072816387,0.000676426,0.000101673744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024811042,0.000050245424,0.0017617429,0.00008593852,0.000041501822,0.000076808334,0.0000465636,0.9859049,0.0065725166,0.0004890735,0.00010316498,0.0046195933],"study_design_scores_gemma":[0.00000842981,0.0001513394,0.0014368866,0.000006703541,0.00002506602,0.000021258835,0.00001904249,0.991703,0.0063219545,0.00018903466,0.00010335234,0.000014018519],"about_ca_topic_score_codex":0.018511187,"about_ca_topic_score_gemma":0.005075323,"teacher_disagreement_score":0.018511187,"about_ca_system_score_codex":0.0015737414,"about_ca_system_score_gemma":0.0007799745,"threshold_uncertainty_score":0.03680688},"labels":[],"label_agreement":null},{"id":"W2752264151","doi":"10.3390/en10091285","title":"A Novel Hybrid Approach for Numerical Modeling of the Nucleating Flow in Laval Nozzle and Transonic Steam Turbine Blades","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":13,"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":"Transonic; Inviscid flow; Nozzle; Cusp (singularity); Adiabatic process; Mechanics; Mathematics; Mechanical engineering; Engineering; Physics; Geometry; Thermodynamics; Aerodynamics","score_opus":0.01140167682778138,"score_gpt":0.20956602946538888,"score_spread":0.1981643526376075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752264151","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031512566,0.0002829667,0.9641885,0.00008117568,0.00006308147,0.000052350268,0.00005276901,0.00024376721,0.0035228473],"genre_scores_gemma":[0.65814275,0.00036506983,0.33447316,0.000093278664,0.000053972475,0.00027105378,0.00016321095,0.000106230735,0.00633121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998568,0.000037969032,0.000008547754,0.00003057442,0.000048711558,0.000017246333],"domain_scores_gemma":[0.99983466,0.00006386789,0.000020309808,0.00001408637,0.000053350395,0.000013715411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037540888,0.0005658654,0.0005528927,0.00042075885,0.00031172772,0.00082117296,0.0010754992,0.001238336,0.0010755172],"category_scores_gemma":[0.00057583186,0.0003292707,0.0008697154,0.0002518616,0.00048862526,0.00053215877,0.00079672044,0.0007672288,0.00024478856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047334965,0.000047468595,0.0012121317,0.00010564483,0.000040481485,0.00018217895,0.00013092045,0.9491118,0.016469182,0.011671157,0.00030322373,0.020678442],"study_design_scores_gemma":[0.0000027138194,0.000013214103,0.000057026133,0.0000028385332,0.0000016909405,0.000014312658,0.0000053670988,0.9987614,0.00039460638,0.000354383,0.0003890866,0.000003318265],"about_ca_topic_score_codex":0.004182826,"about_ca_topic_score_gemma":0.003088097,"teacher_disagreement_score":0.004182826,"about_ca_system_score_codex":0.00032947984,"about_ca_system_score_gemma":0.00064209406,"threshold_uncertainty_score":0.008316934},"labels":[],"label_agreement":null},{"id":"W2758457674","doi":"10.3390/en10101474","title":"Global Gust Climate Evaluation and Its Influence on Wind Turbines","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":27,"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":"Wind power; Environmental science; Wind speed; Turbine; Meteorology; Maximum sustained wind; Renewable energy; Climatology; Wind profile power law; Engineering; Geography; Wind gradient; Geology","score_opus":0.019921342036688935,"score_gpt":0.29068578973398,"score_spread":0.2707644476972911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758457674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641514,0.000105784864,0.0014768145,0.000028439721,0.000008117178,0.0000073476317,0.000382737,0.000038238675,0.0015373849],"genre_scores_gemma":[0.99920136,0.00005879011,0.00030432804,0.0000061382216,0.0000040507452,0.0000021207118,0.00029879063,0.000007187171,0.000117284275],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998776,0.000028642922,0.000008198731,0.000025427726,0.00003526851,0.000024861798],"domain_scores_gemma":[0.9997228,0.00007637192,0.00007247352,0.00003081117,0.00007716392,0.000020451336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003903217,0.00023533184,0.00018499454,0.00047934728,0.000121112214,0.0003287209,0.000068865775,0.00020111822,0.00045107235],"category_scores_gemma":[0.00056030235,0.000074250216,0.0003274157,0.00060654926,0.00015279456,0.0003158814,0.0003169949,0.00013059322,0.00008198591],"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":[0.00021980942,0.000056863893,0.7823464,0.0000912721,0.00015948848,0.00065978064,0.00019003954,0.16391556,0.012374774,0.00045030838,0.00088958157,0.03864614],"study_design_scores_gemma":[0.0000059063213,0.00016245792,0.9251157,0.000014663775,0.00008546436,0.00021972906,0.00032308494,0.06998027,0.0027456013,0.00019695955,0.0011302865,0.000019737086],"about_ca_topic_score_codex":0.0033533163,"about_ca_topic_score_gemma":0.005489834,"teacher_disagreement_score":0.0033533163,"about_ca_system_score_codex":0.00021415834,"about_ca_system_score_gemma":0.00011968871,"threshold_uncertainty_score":0.006667614},"labels":[],"label_agreement":null},{"id":"W2762162155","doi":"10.3390/en10101578","title":"The Impact of Environmental Regulation on Total Factor Energy Efficiency: A Cross-Region Analysis in China","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Tsinghua University; National Natural Science Foundation of China","keywords":"Tobit model; Natural resource economics; Economics; Sustainable development; Foreign direct investment; Efficient energy use; Energy consumption; Endowment; Factor endowment; Resource (disambiguation); Environmental impact assessment; Environmental economics; China; Econometrics; International trade; Comparative advantage; Geography; Ecology; Macroeconomics","score_opus":0.013706861734097926,"score_gpt":0.22746153636798863,"score_spread":0.2137546746338907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762162155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991591,0.00014402988,0.00013616995,0.000028909953,0.000002472147,0.000004453614,0.00013458956,0.000005352457,0.00038498384],"genre_scores_gemma":[0.99945647,0.00007341791,0.00006094528,0.000007428132,0.0000019013958,0.00000370173,0.00018896008,0.0000023169052,0.00020496659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992078,0.00017161832,0.00005437366,0.00017715339,0.00013289538,0.00025624273],"domain_scores_gemma":[0.99857736,0.00039808048,0.00030590835,0.00017221595,0.00037372153,0.00017272767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001617633,0.00046024623,0.0005817331,0.0015704967,0.0004490697,0.0009243451,0.00051888725,0.0003251818,0.0010382328],"category_scores_gemma":[0.0016614943,0.0002670784,0.0017963039,0.0020618073,0.0005795189,0.00060271646,0.0009549651,0.0003140892,0.00012808279],"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":[0.0001241166,0.00006454818,0.9792119,0.00004589105,0.00075949106,0.0004998468,0.00039337337,0.0115392655,0.00096313865,0.0005657409,0.00023942863,0.0055931285],"study_design_scores_gemma":[0.000005825633,0.000048268543,0.99246675,0.0000071689456,0.00019308321,0.00004785064,0.0003573435,0.006170398,0.0002603884,0.0000717295,0.00035807988,0.000013142572],"about_ca_topic_score_codex":0.15133588,"about_ca_topic_score_gemma":0.13107538,"teacher_disagreement_score":0.15133588,"about_ca_system_score_codex":0.0023264051,"about_ca_system_score_gemma":0.001756269,"threshold_uncertainty_score":0.30091006},"labels":[],"label_agreement":null},{"id":"W2762260736","doi":"10.3390/en10101575","title":"Determination of Klinkenberg Permeability Conditioned to Pore-Throat Structures in Tight Formations","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"PetroChina Innovation Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; China University of Petroleum, Beijing; Science Foundation of China University of Petroleum, Beijing; PetroChina Company Limited; China Scholarship Council","keywords":"Permeability (electromagnetism); Throat; Mechanics; Tight gas; Capillary pressure; Materials science; Chemistry; Porosity; Composite material; Geology; Geotechnical engineering; Porous medium; Membrane; Physics","score_opus":0.013728280121839187,"score_gpt":0.25972885924096034,"score_spread":0.24600057911912115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762260736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7963191,0.0006511827,0.2011085,0.00002638938,0.00001878785,0.00007920699,0.00019058371,0.00029800495,0.0013082136],"genre_scores_gemma":[0.9533078,0.00025607948,0.0458213,0.000012824566,0.0000037037494,0.000040714036,0.00010777221,0.000025917083,0.00042379796],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991314,0.00010499283,0.00007557966,0.0002485058,0.0003457017,0.00009381467],"domain_scores_gemma":[0.998187,0.0006697953,0.00050853885,0.00014540633,0.0004152687,0.00007393148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009931684,0.0004091776,0.00047599446,0.0012942096,0.0004968565,0.00061113783,0.00063410855,0.00045582594,0.00036617494],"category_scores_gemma":[0.0030701463,0.0004292764,0.00023359398,0.00058690464,0.00081306783,0.0013896333,0.000675026,0.00050968945,0.00015047526],"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":[0.0001607924,0.00004641791,0.030863944,0.00027877267,0.000030828713,0.00033811128,0.0005810065,0.008567397,0.92838186,0.0014256814,0.000099624,0.029225498],"study_design_scores_gemma":[0.000011538901,0.00024009962,0.09410147,0.00003328775,0.00005048976,0.00070692,0.00056952867,0.065569185,0.83572,0.00092461077,0.001982224,0.00009053719],"about_ca_topic_score_codex":0.0021248742,"about_ca_topic_score_gemma":0.0055297394,"teacher_disagreement_score":0.0021248742,"about_ca_system_score_codex":0.0005503197,"about_ca_system_score_gemma":0.0005132635,"threshold_uncertainty_score":0.005252421},"labels":[],"label_agreement":null},{"id":"W2765117811","doi":"10.3390/en10101640","title":"Transactive Demand Side Management Programs in Smart Grids with High Penetration of EVs","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science, ICT and Future Planning","keywords":"Transactive memory; Computer science; Smart grid; Heuristic; Electricity; Demand response; Electric power system; Dynamic pricing; Electricity pricing; Distributed computing; Electricity market; Power (physics); Business; Engineering","score_opus":0.011144444121799484,"score_gpt":0.19161135166713197,"score_spread":0.18046690754533248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765117811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17145032,0.0003364491,0.8185342,0.000296716,0.000038201815,0.000108487264,0.00003487908,0.00045282982,0.008747941],"genre_scores_gemma":[0.9669253,0.000079429454,0.031490505,0.000039201404,0.000009263825,0.00004219657,0.000018094255,0.000019584231,0.0013765278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999613,0.00016523415,0.000013408884,0.00005731825,0.0000823576,0.00006873273],"domain_scores_gemma":[0.9995801,0.00022325359,0.00007712289,0.000024577494,0.000059056543,0.000035914287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077497994,0.0005344435,0.0006699941,0.00028754192,0.00036520543,0.0006687581,0.00081515155,0.0005482636,0.0015770061],"category_scores_gemma":[0.00081499276,0.00035031067,0.00040716652,0.0003584416,0.0004920939,0.0008057868,0.0006888158,0.000661426,0.00012956126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012394121,0.00011027881,0.00090877485,0.00007051721,0.000027930646,0.00020230195,0.00008340572,0.9411694,0.0037618203,0.0076558846,0.0006094064,0.04527638],"study_design_scores_gemma":[0.000011082015,0.000037463236,0.000086316155,0.00000193786,0.000004600383,0.000016501212,0.000015472622,0.99789906,0.00049978046,0.0012098737,0.00021491988,0.0000030634171],"about_ca_topic_score_codex":0.004116727,"about_ca_topic_score_gemma":0.00681406,"teacher_disagreement_score":0.004116727,"about_ca_system_score_codex":0.0005431903,"about_ca_system_score_gemma":0.0008097856,"threshold_uncertainty_score":0.008185506},"labels":[],"label_agreement":null},{"id":"W2766188963","doi":"10.3390/en10111726","title":"Implementation, Comparison and Application of an Average Simulation Model of a Wind Turbine Driven Doubly Fed Induction Generator","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control 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":"Research Manitoba; University of Manitoba","funders":"","keywords":"Induction generator; Turbine; Doubly fed electric machine; Wind power; Converters; Transient (computer programming); Control theory (sociology); Engineering; Power electronics; Power (physics); Control engineering; Computer science; AC power; Electrical engineering; Voltage; Physics; Mechanical engineering","score_opus":0.019891926738805934,"score_gpt":0.28411202009881387,"score_spread":0.26422009336000796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766188963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29239476,0.00019079434,0.668229,0.0002387232,0.00013878624,0.00019506666,0.0016729955,0.005240861,0.031698972],"genre_scores_gemma":[0.95258224,0.0001490324,0.04196791,0.000023600194,0.000012248034,0.00011789727,0.0009968913,0.00018493336,0.00396518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998884,0.000027131338,0.000009259804,0.000019913416,0.000042845742,0.000012416017],"domain_scores_gemma":[0.9997358,0.00008198691,0.000021743583,0.000056038007,0.000089481975,0.000015039996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002453215,0.00041918992,0.00045175676,0.0002856685,0.00027325883,0.0006553543,0.000589704,0.0005062135,0.0027327077],"category_scores_gemma":[0.0004898917,0.00020209572,0.00045756207,0.00025981534,0.00017056172,0.00054308877,0.00022145692,0.00042262187,0.00044012078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009268566,0.000042181524,0.0013683874,0.00007597245,0.000025395653,0.00008092163,0.00006444839,0.9705931,0.0076748705,0.0024731006,0.000801128,0.016707852],"study_design_scores_gemma":[0.000010264638,0.000049548038,0.00045110108,0.0000041195963,0.000011459761,0.00002098466,0.000012192163,0.9938291,0.0032512746,0.00033852883,0.0020153634,0.000006089513],"about_ca_topic_score_codex":0.005311606,"about_ca_topic_score_gemma":0.0036038752,"teacher_disagreement_score":0.005311606,"about_ca_system_score_codex":0.00035338636,"about_ca_system_score_gemma":0.00048353392,"threshold_uncertainty_score":0.010561407},"labels":[],"label_agreement":null},{"id":"W2766330528","doi":"10.3390/en10111740","title":"Approximate Analysis of Multi-State Weighted k-Out-of-n Systems Applied to Transmission Lines","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Reliability (semiconductor); State (computer science); Computer science; Fuzzy logic; Stochastic ordering; Transmission (telecommunications); Electric power transmission; Electric power system; Reliability engineering; Mathematics; Mathematical optimization; Algorithm; Power (physics); Engineering; Applied mathematics; Artificial intelligence","score_opus":0.01614770592882449,"score_gpt":0.24361648103471584,"score_spread":0.22746877510589134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766330528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10394907,0.00030961592,0.8931647,0.00012154082,0.00001804062,0.000030625564,0.000058280173,0.00013219466,0.0022159372],"genre_scores_gemma":[0.9792387,0.00016297007,0.01938591,0.000023265475,0.000009870858,0.000041367985,0.000069430265,0.000026638816,0.0010418777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964905,0.00011805067,0.000014154366,0.00006746015,0.00009104103,0.000060197573],"domain_scores_gemma":[0.99875176,0.000843765,0.00014850563,0.000059141683,0.00016434107,0.000032601078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009307049,0.00071425404,0.0007864397,0.0005075444,0.0003703474,0.0005911554,0.0007958592,0.00073376024,0.001278883],"category_scores_gemma":[0.0030626608,0.00037675677,0.0008604418,0.00044384485,0.00064230344,0.00086313556,0.00052120315,0.0006273994,0.00011629999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011488513,0.0000047903904,0.0003091561,0.000013786362,0.000011912683,0.000024421151,0.000016176204,0.99445266,0.00032825838,0.002567868,0.000042009055,0.0022174795],"study_design_scores_gemma":[3.0770255e-7,0.000002279,0.00003720252,6.40032e-7,9.1167084e-7,0.0000021967903,0.0000015574918,0.9993735,0.0000426033,0.0005250984,0.000013130045,6.2043085e-7],"about_ca_topic_score_codex":0.009454358,"about_ca_topic_score_gemma":0.0063184584,"teacher_disagreement_score":0.009454358,"about_ca_system_score_codex":0.0009527779,"about_ca_system_score_gemma":0.0007117562,"threshold_uncertainty_score":0.01879865},"labels":[],"label_agreement":null},{"id":"W2766397502","doi":"10.3390/en10111698","title":"Non-Newtonian Flow Characteristics of Heavy Oil in the Bohai Bay Oilfield: Experimental and Simulation Studies","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Science and Technology Major Project; China Scholarship Council","keywords":"Rheology; Viscosity; Volumetric flow rate; Materials science; Permeability (electromagnetism); Newtonian fluid; Mechanics; Simulation; Petroleum engineering; Chemistry; Geology; Composite material; Engineering; Physics","score_opus":0.016808904503777033,"score_gpt":0.29356876865989034,"score_spread":0.2767598641561133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766397502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99282527,0.00012526533,0.004905513,0.000039020444,0.0000089989135,0.000033603865,0.00019512938,0.00007577242,0.0017915715],"genre_scores_gemma":[0.995786,0.00016759337,0.0033250256,0.0000065547038,0.0000027453677,0.000024636005,0.00015803165,0.000007894622,0.00052142865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989057,0.000014828236,0.000009658713,0.000021192029,0.000038496233,0.000025279016],"domain_scores_gemma":[0.9997271,0.0001337614,0.0000427111,0.000021126698,0.00005500614,0.00002035773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034826295,0.00036715897,0.0003333026,0.0006589037,0.00035913888,0.0003731398,0.00042189533,0.0006046336,0.0008582924],"category_scores_gemma":[0.0005939849,0.0001776555,0.0003538504,0.0005318624,0.0004787484,0.0004918651,0.00027866336,0.00030553268,0.00008649544],"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":[0.00027611357,0.00040208705,0.029875705,0.00026911974,0.000029723758,0.00041386753,0.0002351927,0.9005595,0.049820796,0.0013396335,0.00028466652,0.01649366],"study_design_scores_gemma":[0.000031471147,0.00013798768,0.0066565233,0.000011537237,0.00001440126,0.00003677256,0.00008096528,0.9775354,0.014724674,0.00016816617,0.00057941134,0.000022656104],"about_ca_topic_score_codex":0.020212106,"about_ca_topic_score_gemma":0.014159427,"teacher_disagreement_score":0.020212106,"about_ca_system_score_codex":0.00051852583,"about_ca_system_score_gemma":0.0005629875,"threshold_uncertainty_score":0.04018891},"labels":[],"label_agreement":null},{"id":"W2766449972","doi":"10.3390/en10111741","title":"The Effects of Additives on the Dehydrogenation of Amorphous Manganese Borohydride and Its Crystalline Form after Solvent Filtration/Extraction","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydride; Dehydrogenation; Differential scanning calorimetry; Borohydride; Thermal decomposition; Amorphous solid; Inorganic chemistry; Materials science; Manganese; Extraction (chemistry); Chemistry; Nuclear chemistry; Organic chemistry; Metal; Catalysis","score_opus":0.008354903812140112,"score_gpt":0.24478602921776424,"score_spread":0.23643112540562414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766449972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99759895,0.000591658,0.0006607486,0.000020411142,0.000013476049,0.000011918254,0.00014578458,0.000039542792,0.00091757375],"genre_scores_gemma":[0.99703586,0.00050032773,0.0010859827,0.00002311163,0.00000859653,0.000012101714,0.00018273559,0.00002719844,0.0011240948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998455,0.000018704979,0.000012885609,0.000035099612,0.000042054347,0.00004573332],"domain_scores_gemma":[0.99986124,0.000032997585,0.000039909075,0.000011587684,0.00003091063,0.000023353003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013173286,0.00035918527,0.00022410312,0.00019918445,0.0001613143,0.00024342867,0.0001972561,0.00019406136,0.0009450309],"category_scores_gemma":[0.00023820627,0.00017185905,0.0001773451,0.000259074,0.00018379508,0.00024120358,0.00017259033,0.00033378752,0.00021011535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001413832,0.0000117688,0.00017425956,0.000049260478,0.000006526423,0.00003063437,0.000023799354,0.00004905823,0.99864763,0.000018519651,0.00001123473,0.0008358679],"study_design_scores_gemma":[0.0000037252216,0.00007654006,0.0012784506,0.000002957267,0.000007691496,0.000021730404,0.000016966464,0.00019525833,0.9979652,0.000004003232,0.00042467285,0.0000027450203],"about_ca_topic_score_codex":0.0013836775,"about_ca_topic_score_gemma":0.0030919032,"teacher_disagreement_score":0.0013836775,"about_ca_system_score_codex":0.00018488907,"about_ca_system_score_gemma":0.00015755084,"threshold_uncertainty_score":0.0031614304},"labels":[],"label_agreement":null},{"id":"W2766914404","doi":"10.3390/en10101650","title":"A Survey on PEV Charging Infrastructure: Impact Assessment and Planning","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Environmental economics; Economics","score_opus":0.013105390997897913,"score_gpt":0.2843239052473683,"score_spread":0.27121851424947035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766914404","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05501032,0.55073124,0.24219511,0.0036579561,0.00076537865,0.00039797171,0.0044382624,0.0012974709,0.14150633],"genre_scores_gemma":[0.2346457,0.701942,0.049367957,0.0003451942,0.00030901958,0.00017321926,0.0036437667,0.00019164228,0.009381464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992817,0.0001633506,0.00006991321,0.00008945414,0.00032684288,0.00006874527],"domain_scores_gemma":[0.9981192,0.0011995465,0.00012406803,0.00010239415,0.00041275748,0.00004201266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010047144,0.0012689432,0.0007573813,0.0037866554,0.000366574,0.0017168762,0.0013592817,0.00097571575,0.005176461],"category_scores_gemma":[0.0023209741,0.00058710435,0.0010214205,0.007281649,0.00031076098,0.0028181148,0.0007048163,0.00059811695,0.0012932954],"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":[0.00006257136,0.0001072332,0.0060070166,0.006054116,0.00008117949,0.00024907535,0.00014599062,0.10089537,0.0013648008,0.03162755,0.019141221,0.83426386],"study_design_scores_gemma":[0.000017478636,0.0004578058,0.0125687225,0.007550166,0.0003767363,0.0018593852,0.0020587093,0.18548894,0.006850444,0.06620072,0.7163721,0.00019880688],"about_ca_topic_score_codex":0.0038283805,"about_ca_topic_score_gemma":0.0035478484,"teacher_disagreement_score":0.005176461,"about_ca_system_score_codex":0.0010236757,"about_ca_system_score_gemma":0.0011498218,"threshold_uncertainty_score":0.017316937},"labels":[],"label_agreement":null},{"id":"W2766964510","doi":"10.3390/en10101661","title":"Risk Assessment of Failure of Outdoor High Voltage Polluted Insulators under Combined Stresses Near Shoreline","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Silicone rubber; Contamination; Materials science; Environmental science; Insulator (electricity); Polyethylene; High-density polyethylene; Composite material; Environmental chemistry; Chemistry","score_opus":0.010297217858648792,"score_gpt":0.26943963521616404,"score_spread":0.25914241735751525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766964510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970126,0.00021360298,0.002022554,0.000019977402,0.000005900569,0.000017954566,0.0001397172,0.00003592892,0.0005316426],"genre_scores_gemma":[0.9990351,0.0000939823,0.00051781326,0.000003414046,0.000003363165,0.0000070153164,0.00010776964,0.0000029151795,0.00022870515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967813,0.00006199864,0.000022230694,0.00005508876,0.00014290653,0.00003965197],"domain_scores_gemma":[0.9989749,0.00020265394,0.0003909779,0.00006665995,0.00029800902,0.00006686975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046800496,0.00050853105,0.00040214544,0.00090705045,0.00025223338,0.00054780813,0.00032837162,0.000686024,0.00091386633],"category_scores_gemma":[0.0008535502,0.00016237107,0.0003910506,0.00032936237,0.00019878242,0.00034625723,0.0004999542,0.00015048013,0.00020696603],"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":[0.00078156753,0.00017096265,0.8590954,0.00033332442,0.00031520895,0.001970273,0.0004293797,0.031561445,0.06632549,0.00013081709,0.00046098875,0.038425203],"study_design_scores_gemma":[0.000012089541,0.0015863709,0.94178116,0.00004726814,0.0002410074,0.0008109695,0.0009659719,0.036396746,0.017057583,0.00024907172,0.0008105767,0.000041125946],"about_ca_topic_score_codex":0.0030865122,"about_ca_topic_score_gemma":0.004288676,"teacher_disagreement_score":0.0030865122,"about_ca_system_score_codex":0.00026390122,"about_ca_system_score_gemma":0.00019695633,"threshold_uncertainty_score":0.006137073},"labels":[],"label_agreement":null},{"id":"W2767595407","doi":"10.3390/en10111844","title":"Novel Carbon Materials in the Cathode Formulation for High Rate Rechargeable Hybrid Aqueous Batteries","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Cathode; Graphene; Battery (electricity); Materials science; Aqueous solution; Carbon nanotube; Conductivity; Carbon fibers; Chemical engineering; Porosity; Electrical conductor; Nanotechnology; Composite material; Composite number; Chemistry; Organic chemistry","score_opus":0.021679921296189134,"score_gpt":0.23914581487998768,"score_spread":0.21746589358379853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767595407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96028435,0.0049872654,0.027863037,0.00031145447,0.00017086424,0.00017972697,0.00030540067,0.00027234567,0.005625544],"genre_scores_gemma":[0.976263,0.002165635,0.017599583,0.000079479134,0.000036975824,0.000090869704,0.00019091634,0.00005251707,0.0035210678],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990475,0.000012462843,0.000009294205,0.0000210924,0.000036149235,0.00001629843],"domain_scores_gemma":[0.9999498,0.000006882348,0.000011133238,0.0000025621544,0.000018884748,0.000010816359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015559181,0.00047896244,0.00017634181,0.00039445603,0.00012351759,0.0002939563,0.00023058892,0.00041491335,0.0007967303],"category_scores_gemma":[0.00015984394,0.00014240116,0.00015793456,0.00021421368,0.00010991461,0.00048168434,0.0001818835,0.00030984034,0.00027789688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032632102,0.00003311919,0.00003284688,0.00007119524,0.000005242801,0.000054612854,0.000008820576,0.00019848238,0.9952815,0.00021634044,0.000056509558,0.004008701],"study_design_scores_gemma":[0.00001074533,0.0001184422,0.00020421189,0.000006274699,0.000011975261,0.00005016517,0.000007831997,0.0013712106,0.9960813,0.000052451953,0.0020790289,0.000006399927],"about_ca_topic_score_codex":0.00029539387,"about_ca_topic_score_gemma":0.00083056564,"teacher_disagreement_score":0.0007967303,"about_ca_system_score_codex":0.00018841334,"about_ca_system_score_gemma":0.00015742367,"threshold_uncertainty_score":0.002665341},"labels":[],"label_agreement":null},{"id":"W2767637763","doi":"10.3390/en10111853","title":"Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbine; Nacelle; Vibration; Fault (geology); Tower; Engineering; Noise (video); Wind power; Condition monitoring; Bearing (navigation); Steam turbine; Accelerometer; Marine engineering; Structural engineering; Acoustics; Computer science; Electrical engineering; Geology; Mechanical engineering; Seismology","score_opus":0.016754027977456263,"score_gpt":0.2825749291951246,"score_spread":0.2658209012176683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767637763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64006096,0.00044005777,0.35796303,0.00008823123,0.000063521795,0.000051988605,0.000077861936,0.00058622163,0.00066815177],"genre_scores_gemma":[0.96955025,0.0000999339,0.030093148,0.000010733512,0.000010690973,0.000008384376,0.00003060184,0.0000053819244,0.0001907975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998165,0.000040624782,0.000012395579,0.00003899886,0.00007427694,0.000017217242],"domain_scores_gemma":[0.999635,0.00016188178,0.000084561165,0.000020655127,0.00007174095,0.000026139627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023856673,0.00045856656,0.0002958928,0.0006987636,0.00010906776,0.0002972633,0.00027285636,0.00054402446,0.00041343493],"category_scores_gemma":[0.0011082665,0.00016755733,0.00011133881,0.00025964595,0.00023339008,0.00045198764,0.00020835239,0.00027383678,0.00012701494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011374094,0.00016421799,0.0231971,0.0003474503,0.000034636134,0.00094936235,0.0003453537,0.017412769,0.7485239,0.00069622026,0.0004427438,0.20674881],"study_design_scores_gemma":[0.0001285799,0.0020970905,0.13338558,0.000101838334,0.000117366326,0.0028936092,0.0005877317,0.5030923,0.35313082,0.002379105,0.0019682501,0.00011781097],"about_ca_topic_score_codex":0.00028589,"about_ca_topic_score_gemma":0.0005695609,"teacher_disagreement_score":0.0006987636,"about_ca_system_score_codex":0.000112628964,"about_ca_system_score_gemma":0.00011449866,"threshold_uncertainty_score":0.0013831258},"labels":[],"label_agreement":null},{"id":"W2768390055","doi":"10.3390/en10111868","title":"An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Autoregressive integrated moving average; Demand forecasting; Fossil fuel; Economics; Renewable energy; Coal; Natural resource economics; Energy policy; Energy planning; Environmental economics; Time series; Engineering; Operations management; Computer science","score_opus":0.03449239613601321,"score_gpt":0.273608796486045,"score_spread":0.23911640035003182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768390055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6824588,0.0009574943,0.2977386,0.0011115139,0.00017805894,0.00015785292,0.0029599636,0.0005570836,0.013880502],"genre_scores_gemma":[0.980645,0.00040448032,0.016065191,0.00003211719,0.00003078135,0.00006262518,0.00080328825,0.00001358442,0.001942878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997719,0.000053729567,0.000020223262,0.00006238251,0.00004872117,0.000042993783],"domain_scores_gemma":[0.99972683,0.00010726545,0.00004199974,0.000010348107,0.00009597211,0.00001768396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051250285,0.0006014486,0.00046579144,0.0005821355,0.0004854824,0.0011961773,0.0008328072,0.0007263401,0.0014813098],"category_scores_gemma":[0.0008663693,0.00040343462,0.00069324,0.0007719991,0.00015733391,0.00071129,0.0005929563,0.0008632212,0.00020821675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007681896,0.000069782014,0.012823536,0.000045518413,0.00010254133,0.00023133801,0.00013392277,0.96216494,0.0008185126,0.0027519767,0.0009725766,0.019808488],"study_design_scores_gemma":[0.0000036096937,0.000015724312,0.0013943459,0.000003390308,0.000014043272,0.000009764259,0.000047495818,0.99762386,0.00008517021,0.00051590585,0.00028072193,0.0000060245416],"about_ca_topic_score_codex":0.08636435,"about_ca_topic_score_gemma":0.05740181,"teacher_disagreement_score":0.08636435,"about_ca_system_score_codex":0.0010023329,"about_ca_system_score_gemma":0.0015655952,"threshold_uncertainty_score":0.1717233},"labels":[],"label_agreement":null},{"id":"W2768460303","doi":"10.3390/en10111914","title":"An Interval Fuzzy-Stochastic Chance-Constrained Programming Based Energy-Water Nexus Model for Planning Electric Power Systems","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Beijing Normal University","keywords":"Water supply; Electricity; Electricity generation; Interval (graph theory); Time horizon; Renewable energy; Stochastic programming; Water-energy nexus; Energy supply; Environmental science; Mains electricity; Electric power; Environmental economics; Environmental engineering; Mathematical optimization; Power (physics); Computer science; Nexus (standard); Energy (signal processing); Mathematics; Economics; Engineering; Statistics; Electrical engineering; Physics","score_opus":0.02441538131296798,"score_gpt":0.25640297827857533,"score_spread":0.23198759696560736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768460303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034154575,0.0007482906,0.9404794,0.00086672744,0.00012037702,0.00014962687,0.00068689475,0.00020995227,0.022584168],"genre_scores_gemma":[0.9055202,0.00095349865,0.07868818,0.00019765629,0.00007338708,0.00061619154,0.00061692885,0.000059022408,0.0132749155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937755,0.00021434583,0.000026085187,0.00012949466,0.00014360489,0.00010894181],"domain_scores_gemma":[0.999469,0.0002764719,0.00008076726,0.000014276309,0.000108004664,0.000051501163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008685937,0.0011637022,0.0010012483,0.0007202977,0.0005211875,0.0016337002,0.0016047277,0.0014510232,0.0044456352],"category_scores_gemma":[0.0014980508,0.000646985,0.0010311602,0.0012332357,0.0006678543,0.0012761464,0.00091710244,0.0015995519,0.0002915604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106071975,0.000008192138,0.00017782774,0.000024394983,0.000010786965,0.00004611025,0.000013455138,0.98799616,0.00009436212,0.009560255,0.00026998163,0.0017878826],"study_design_scores_gemma":[0.000004250265,0.000009493357,0.000055147833,0.000005821986,0.0000045598645,0.000007748819,0.000009021414,0.9954483,0.00004054025,0.004049817,0.0003613735,0.000003904077],"about_ca_topic_score_codex":0.018233545,"about_ca_topic_score_gemma":0.013433291,"teacher_disagreement_score":0.018233545,"about_ca_system_score_codex":0.0016118484,"about_ca_system_score_gemma":0.002380323,"threshold_uncertainty_score":0.036254823},"labels":[],"label_agreement":null},{"id":"W2770568161","doi":"10.3390/en10111858","title":"The Future of Sustainable Energy Production in Pakistan: A System Dynamics-Based Approach for Estimating Hubbert Peaks","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Coal; Production (economics); Context (archaeology); Energy security; Natural resource; Fossil fuel; Natural resource economics; Resource (disambiguation); Primary energy; Environmental science; Energy (signal processing); Engineering; Waste management; Economics; Computer science; Renewable energy; Mathematics; Geography; Statistics","score_opus":0.008988717184767748,"score_gpt":0.2822392334457713,"score_spread":0.27325051626100355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770568161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80861753,0.00024369045,0.17614284,0.00042306504,0.000043766267,0.00014331425,0.0009968703,0.0003054127,0.013083428],"genre_scores_gemma":[0.9909416,0.0000773791,0.0084401015,0.00000996232,0.000004053401,0.000026719272,0.00014781652,0.000008644706,0.00034372153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998777,0.000037232006,0.000005959616,0.000027558297,0.000023734909,0.000027880433],"domain_scores_gemma":[0.99953127,0.00028315038,0.00006136593,0.000018654699,0.00006902242,0.000036636873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000492482,0.00046952916,0.0003330415,0.0009071023,0.0005988905,0.0011076159,0.0005279573,0.0007045413,0.0015592077],"category_scores_gemma":[0.0014169499,0.00027697952,0.00055651204,0.0006443832,0.00036434666,0.0008554604,0.000564336,0.0006698077,0.00010136802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016923586,0.000012104862,0.00652437,0.00002137323,0.000020492369,0.0000757499,0.000056216366,0.98742825,0.0002451616,0.0025581336,0.00014458866,0.0028965662],"study_design_scores_gemma":[0.000002269814,0.000013980925,0.0013806492,0.0000041279322,0.000005947347,0.000008630962,0.00007546422,0.9969689,0.00014473061,0.0011829529,0.00020728301,0.0000049707537],"about_ca_topic_score_codex":0.047543243,"about_ca_topic_score_gemma":0.024567459,"teacher_disagreement_score":0.047543243,"about_ca_system_score_codex":0.0012528033,"about_ca_system_score_gemma":0.001504523,"threshold_uncertainty_score":0.09453297},"labels":[],"label_agreement":null},{"id":"W2771595160","doi":"10.3390/en10121999","title":"Numerical Simulation Study on Steam-Assisted Gravity Drainage Performance in a Heavy Oil Reservoir with a Bottom Water Zone","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Regina","funders":"","keywords":"Bottom water; Petroleum engineering; Geology; Saturation (graph theory); Steam-assisted gravity drainage; Computer simulation; Environmental science; Sink (geography); Oil field; Oil production; Steam injection; Oil in place; Oil sands; Petroleum; Materials science; Engineering; Oceanography; Asphalt","score_opus":0.016491467756253896,"score_gpt":0.26288082017157144,"score_spread":0.24638935241531754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771595160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97976595,0.00021586085,0.010843478,0.00026060193,0.00005307189,0.000069438094,0.00020371114,0.00011613521,0.008471912],"genre_scores_gemma":[0.994762,0.00009725506,0.003865414,0.000026505599,0.0000047101717,0.000046469428,0.00010260581,0.000009323037,0.0010857703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977404,0.00005371785,0.000017470378,0.00002973158,0.000050906252,0.00007412526],"domain_scores_gemma":[0.9990069,0.00057547475,0.00012348691,0.000041480303,0.00017861353,0.00007405009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005643234,0.00058403116,0.0009354424,0.0006324596,0.0010035,0.0011013682,0.0007563405,0.0018220164,0.0013518751],"category_scores_gemma":[0.001321198,0.00036297154,0.0009783268,0.00073264434,0.0010152531,0.0005575542,0.0006984873,0.0007816036,0.00013008167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012385505,0.000103821454,0.0052842647,0.000063979256,0.00001969748,0.00029138336,0.00008346314,0.9885894,0.003098082,0.00065949076,0.00014594331,0.0015365422],"study_design_scores_gemma":[0.00001987249,0.000047021746,0.00063802185,0.000005699551,0.000007912613,0.000009981792,0.000061510196,0.9982589,0.0007566212,0.000078199984,0.00010774127,0.000008531041],"about_ca_topic_score_codex":0.033095803,"about_ca_topic_score_gemma":0.01366337,"teacher_disagreement_score":0.033095803,"about_ca_system_score_codex":0.00097082707,"about_ca_system_score_gemma":0.0011777035,"threshold_uncertainty_score":0.06580633},"labels":[],"label_agreement":null},{"id":"W2772543410","doi":"10.3390/en10122148","title":"Estimation of Conservation Voltage Reduction Factors Using Measurement Data of KEPCO System","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":11,"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":"Independent Electricity System Operator; Korea Electric Power Corporation; U.S. Department of Energy","keywords":"AC power; Power factor; Voltage; Electric power system; Transformer; Power (physics); Standard deviation; Environmental science; Computer science; Statistics; Control theory (sociology); Engineering; Mathematics; Electrical engineering; Physics","score_opus":0.11497206632814855,"score_gpt":0.2712054122916212,"score_spread":0.15623334596347266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772543410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6980831,0.00040348864,0.2856394,0.000108524095,0.000063702566,0.00027666744,0.0037946512,0.0020533763,0.00957709],"genre_scores_gemma":[0.96248794,0.00013048926,0.034554128,0.000012694828,0.00001404983,0.000084164996,0.001952404,0.000053312317,0.00071087974],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999201,0.00012281076,0.000065174245,0.00017953277,0.0003835175,0.0000479217],"domain_scores_gemma":[0.99857795,0.0004269388,0.00022904325,0.00020290115,0.0005422728,0.000020935518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004782143,0.0007990817,0.00045683837,0.001847114,0.00024092755,0.0005809773,0.00041891966,0.0002783288,0.00062825717],"category_scores_gemma":[0.003350995,0.0002824926,0.00025853535,0.0018225941,0.00012272454,0.00078550086,0.00027601104,0.0004993265,0.0003647891],"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":[0.00040882864,0.00020608507,0.22672161,0.0005269897,0.00019145723,0.00040863964,0.00045500675,0.15167813,0.044928867,0.0012514297,0.0036181014,0.5696048],"study_design_scores_gemma":[0.000055876084,0.00017202219,0.30130655,0.000059469123,0.00009215968,0.00030441352,0.00020274425,0.6480307,0.039679002,0.0009877075,0.009019127,0.00009021379],"about_ca_topic_score_codex":0.008623942,"about_ca_topic_score_gemma":0.007755717,"teacher_disagreement_score":0.008623942,"about_ca_system_score_codex":0.0004393847,"about_ca_system_score_gemma":0.00037785704,"threshold_uncertainty_score":0.017147481},"labels":[],"label_agreement":null},{"id":"W2772869131","doi":"10.3390/en10122081","title":"Large Eddy Simulation Analysis on Confined Swirling Flows in a Gas Turbine Swirl Burner","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Combustor; Mechanics; Turbulence; Vortex; Combustion; Combustion chamber; Large eddy simulation; Instability; Flow (mathematics); Physics; Environmental science; Materials science; Chemistry","score_opus":0.01041995606868889,"score_gpt":0.2492648727936602,"score_spread":0.2388449167249713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772869131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917824,0.000036905854,0.006945809,0.0000455806,0.0000065416316,0.000015338488,0.000049932856,0.00008470939,0.001032782],"genre_scores_gemma":[0.99731463,0.000021499844,0.0021948211,0.000006431514,0.000001970683,0.000011149294,0.00004686826,0.00001122242,0.0003913955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999472,0.000012199379,0.000003717178,0.000010018422,0.000013809201,0.000013012614],"domain_scores_gemma":[0.9998123,0.000089850386,0.000023374765,0.000014900644,0.000034170393,0.000025378875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021608823,0.00030851332,0.00044451724,0.000264223,0.00050620025,0.00038953067,0.00030284663,0.0004534962,0.0006321845],"category_scores_gemma":[0.00042999804,0.00019793605,0.00045446446,0.00017692454,0.0004225669,0.00036792032,0.00023427428,0.00028679665,0.000060304672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024132496,0.00016886818,0.0067331074,0.000048192735,0.000030629428,0.0002799042,0.000116605464,0.96724397,0.02079544,0.00069607556,0.00013774235,0.0035081767],"study_design_scores_gemma":[0.000010593933,0.000033593908,0.0011413229,0.0000010238379,0.0000026600185,0.000005532609,0.00001351446,0.9973122,0.0013960381,0.000043902008,0.000035846777,0.0000037985596],"about_ca_topic_score_codex":0.012977172,"about_ca_topic_score_gemma":0.0061831046,"teacher_disagreement_score":0.012977172,"about_ca_system_score_codex":0.0003946279,"about_ca_system_score_gemma":0.00047885106,"threshold_uncertainty_score":0.025803268},"labels":[],"label_agreement":null},{"id":"W2774290186","doi":"10.3390/en10122031","title":"South Korean Household’s Willingness to Pay for Replacing Coal with Natural Gas? A View from CO2 Emissions Reduction","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National University of Science and Technology; Seoul National University of Science and Technology; Seoul National University","keywords":"Willingness to pay; Contingent valuation; Coal; Agricultural economics; Electricity; Electricity generation; Quarter (Canadian coin); Natural gas; Coal fired; Economics; Electricity demand; Natural resource economics; Environmental science; Waste management; Power (physics); Engineering; Geography; Microeconomics","score_opus":0.08330784685957675,"score_gpt":0.2276098943119054,"score_spread":0.14430204745232866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774290186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923098,0.00030748895,0.00044912982,0.0017240106,0.000016351707,0.0000093682065,0.000096658936,0.0000016418641,0.005085463],"genre_scores_gemma":[0.99928254,0.00013711308,0.00007369335,0.00011225766,0.000004452215,0.0000029714624,0.000026104008,5.937837e-7,0.00036031211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997631,0.00010874711,0.000013075197,0.000033070268,0.00002929919,0.000052691135],"domain_scores_gemma":[0.9994611,0.00018538725,0.0001876475,0.000023319804,0.000074236945,0.00006830086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007685302,0.00018879223,0.00016785845,0.0002849849,0.0003451232,0.00094701065,0.00019676321,0.0006195729,0.0037898766],"category_scores_gemma":[0.0012758548,0.00013536452,0.0005227473,0.00035748607,0.0004998084,0.0011511479,0.0003529492,0.0006403649,0.00015790218],"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":[0.000856744,0.0006697943,0.83130884,0.0006070832,0.0004186887,0.0030369768,0.021520706,0.006253517,0.00830824,0.044639554,0.0084021315,0.07397774],"study_design_scores_gemma":[0.0000322521,0.00040372496,0.8694104,0.00020890405,0.00020320022,0.0010971713,0.09085788,0.012939014,0.0012283677,0.010348481,0.013159717,0.00011085926],"about_ca_topic_score_codex":0.004138737,"about_ca_topic_score_gemma":0.0046370104,"teacher_disagreement_score":0.004138737,"about_ca_system_score_codex":0.0009906867,"about_ca_system_score_gemma":0.00023959501,"threshold_uncertainty_score":0.012678385},"labels":[],"label_agreement":null},{"id":"W2779067928","doi":"10.3390/en11010034","title":"Research on a Novel Hydraulic/Electric Synergy Bus","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Powertrain; Automotive engineering; Fuel efficiency; MATLAB; Hydraulic accumulator; Driving cycle; Electric vehicle; Accumulator (cryptography); Battery (electricity); Hybrid vehicle; Regenerative brake; Computer science; Engineering; Torque; Power (physics); Mechanical engineering","score_opus":0.04997138662135853,"score_gpt":0.30796438448766145,"score_spread":0.2579929978663029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779067928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57903534,0.0019371756,0.30188245,0.0008113205,0.00019436615,0.00023483335,0.00026227438,0.0009565154,0.114685796],"genre_scores_gemma":[0.9603008,0.0009118458,0.022217657,0.000041271225,0.00002701009,0.00005184417,0.00020461147,0.000020483178,0.016224504],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998981,0.000012106376,0.0000032055095,0.00002016357,0.000052601245,0.000013823675],"domain_scores_gemma":[0.9999548,0.0000048658917,0.0000049809596,0.0000045318307,0.000020032496,0.000010705927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016444601,0.00025192767,0.00017464589,0.00034182452,0.00030722772,0.0005735551,0.00046344104,0.00022593512,0.0036165905],"category_scores_gemma":[0.00010967349,0.00013722661,0.00021142725,0.00035969395,0.00022112715,0.00093308574,0.00042399202,0.00026740198,0.00055381964],"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":[0.00039871622,0.0003992931,0.008253759,0.00083500694,0.00011250598,0.0007283845,0.00041974577,0.30369097,0.16825908,0.1767078,0.0047298833,0.3354649],"study_design_scores_gemma":[0.000105970656,0.0022015346,0.0060517844,0.00006914185,0.000092961694,0.0006973673,0.0007938294,0.78035784,0.077100776,0.021050036,0.111402035,0.0000767047],"about_ca_topic_score_codex":0.0017138785,"about_ca_topic_score_gemma":0.0023067521,"teacher_disagreement_score":0.0036165905,"about_ca_system_score_codex":0.00032218976,"about_ca_system_score_gemma":0.00057248736,"threshold_uncertainty_score":0.01209873},"labels":[],"label_agreement":null},{"id":"W2779169608","doi":"10.3390/en11010027","title":"Improving Transient Response of Power Converter in a Stand-Alone Microgrid Using Virtual Synchronous Generator","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":25,"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":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Microgrid; Overshoot (microwave communication); Control theory (sociology); Converters; Transient (computer programming); Controller (irrigation); Voltage droop; Transient response; Permanent magnet synchronous generator; Electric power system; Computer science; Power (physics); Engineering; Control engineering; Voltage; Voltage source; Control (management); Telecommunications; Electrical engineering; Physics","score_opus":0.005879875629935611,"score_gpt":0.19900978810997405,"score_spread":0.19312991248003844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779169608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7000811,0.00031948753,0.29128206,0.000110537425,0.000053909564,0.000047619877,0.00003223136,0.0009010688,0.0071719573],"genre_scores_gemma":[0.99741614,0.000037061873,0.00226089,0.000005717437,0.0000020648083,0.000005490388,0.0000068789477,0.0000061010446,0.00025962942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999928,0.000017168019,0.0000058558044,0.000016209879,0.00002229628,0.000010528091],"domain_scores_gemma":[0.9999181,0.000024518979,0.000019424597,0.000011689215,0.000020176669,0.000006127974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015602102,0.0004168162,0.0002486579,0.0001789271,0.00016517377,0.0003406847,0.00022977493,0.00016594809,0.00057633314],"category_scores_gemma":[0.00030227174,0.00008345966,0.00013588724,0.00017041898,0.0001660152,0.00025704002,0.00018838746,0.00014010756,0.00009233049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071579433,0.00022313712,0.0043629217,0.0003658761,0.000102837905,0.00061733054,0.00028818124,0.5326016,0.2973589,0.0039835456,0.0013575478,0.1580223],"study_design_scores_gemma":[0.000043525222,0.00045028032,0.00201098,0.000007796924,0.000035725825,0.000107045336,0.000057979334,0.9680607,0.027639741,0.00078612973,0.000789006,0.000011016503],"about_ca_topic_score_codex":0.0008769321,"about_ca_topic_score_gemma":0.0011033593,"teacher_disagreement_score":0.0008769321,"about_ca_system_score_codex":0.0001514482,"about_ca_system_score_gemma":0.00015906715,"threshold_uncertainty_score":0.001928091},"labels":[],"label_agreement":null},{"id":"W2779977002","doi":"10.3390/en11010038","title":"Evaluation of the Internal and Borehole Resistances during Thermal Response Tests and Impact on Ground Heat Exchanger Design","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure","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":"Borehole; Heat exchanger; Thermal resistance; Thermal; Mechanics; Work (physics); Volumetric flow rate; Geothermal gradient; Flow (mathematics); Geotechnical engineering; Materials science; Geology; Heat transfer; Engineering; Mechanical engineering; Geophysics; Thermodynamics; Physics","score_opus":0.04291047762264537,"score_gpt":0.3039477859443317,"score_spread":0.2610373083216863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779977002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708372,0.00009035967,0.027878497,0.000019949015,0.00001712381,0.000047516627,0.00012809623,0.0003057601,0.0006753909],"genre_scores_gemma":[0.9952053,0.000022118948,0.004503263,0.0000033420679,0.0000023063642,0.000015937576,0.000033797816,0.000024626876,0.000189307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989945,0.00032985167,0.000051687257,0.00016910821,0.00035092974,0.00010383451],"domain_scores_gemma":[0.99671245,0.0019560545,0.00038201985,0.00040106164,0.000474682,0.00007373614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011078017,0.00069962686,0.0004012245,0.0005286134,0.00018350844,0.00040649946,0.00048336943,0.0004948602,0.0009266289],"category_scores_gemma":[0.0037368329,0.0002138586,0.00023085467,0.00034961922,0.00043187803,0.00059793657,0.00028974895,0.0003197055,0.00014841784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009591542,0.00032461993,0.012714664,0.00039216693,0.00002925834,0.0003360364,0.0004929528,0.059165463,0.8827499,0.00037917943,0.00025426428,0.042202316],"study_design_scores_gemma":[0.00004179046,0.0028622523,0.03519526,0.000020263122,0.00004514461,0.00020601632,0.00027372388,0.12000594,0.8401909,0.0002123708,0.00089053775,0.00005571358],"about_ca_topic_score_codex":0.00058839616,"about_ca_topic_score_gemma":0.0009807948,"teacher_disagreement_score":0.0011078017,"about_ca_system_score_codex":0.0002551229,"about_ca_system_score_gemma":0.0001638514,"threshold_uncertainty_score":0.0058586597},"labels":[],"label_agreement":null},{"id":"W2781577465","doi":"10.3390/en11010099","title":"Renewable Energy Assisted Traffic Aware Cellular Base Station Energy Cooperation","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Renewable energy; Environmental science; Wind power; Grid; Intermittent energy source; Base station; Computer science; Solar energy; Engineering; Distributed generation; Telecommunications; Electrical engineering; Mathematics","score_opus":0.010190672557155717,"score_gpt":0.19463604709001997,"score_spread":0.18444537453286425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781577465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27743924,0.00049813045,0.69445646,0.00027727464,0.000099971,0.00008044525,0.0001417568,0.00039696245,0.026609804],"genre_scores_gemma":[0.98804104,0.00012872259,0.009674613,0.000021013384,0.000012227064,0.000025333495,0.000037497583,0.000008150785,0.0020512873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972886,0.00007418634,0.0000070085744,0.000042800024,0.00007495309,0.000072105264],"domain_scores_gemma":[0.9996388,0.00016037466,0.000048305996,0.00004005647,0.00008599263,0.000026447777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031027576,0.0005596341,0.0005822906,0.0002663562,0.00040447726,0.00071763335,0.0009732789,0.0005488741,0.0020226692],"category_scores_gemma":[0.00060674007,0.0001621353,0.00039388202,0.00068163703,0.0003475008,0.000560159,0.0008027618,0.0003843835,0.00037026234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006259802,0.000033871016,0.00048173213,0.00002839291,0.000018644603,0.00015576597,0.000028101489,0.97787786,0.0040597804,0.0052130776,0.00042843915,0.011611699],"study_design_scores_gemma":[0.0000037243192,0.000035399476,0.00013170815,0.0000019729694,0.000008217711,0.000047722777,0.00002158374,0.99664885,0.0010209567,0.0016517437,0.00042413408,0.000003986533],"about_ca_topic_score_codex":0.0025003739,"about_ca_topic_score_gemma":0.0029100815,"teacher_disagreement_score":0.0025003739,"about_ca_system_score_codex":0.0004638446,"about_ca_system_score_gemma":0.0005270487,"threshold_uncertainty_score":0.0067665577},"labels":[],"label_agreement":null},{"id":"W2781825008","doi":"10.3390/en11010088","title":"Power Estimation of Multiple Two-State Loads Using A Probabilistic Non-Intrusive Approach","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"Hydro-Québec; Université du Québec à Trois-Rivières","keywords":"Thermostat; Computer science; Inference; Kronecker delta; Task (project management); Probabilistic logic; Markov chain; Hidden Markov model; State (computer science); Markov model; Event (particle physics); State space; Electrical load; Power (physics); Data mining; Machine learning; Artificial intelligence; Engineering; Algorithm; Mathematics; Statistics","score_opus":0.009132344461649042,"score_gpt":0.21845196136356887,"score_spread":0.20931961690191983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781825008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034853425,0.00007982019,0.9642067,0.00004878915,0.000010795938,0.000018804136,0.000030520958,0.00018955587,0.0005615463],"genre_scores_gemma":[0.91428083,0.00011741444,0.083774745,0.000047911435,0.000044179353,0.000045732846,0.00012108278,0.00003578026,0.0015322567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994236,0.00014717595,0.000026826052,0.00020282039,0.00015510448,0.000044534103],"domain_scores_gemma":[0.99930155,0.00038929223,0.00011354658,0.000099120516,0.00006830102,0.000028263465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000555337,0.0007955669,0.00067177194,0.0004494735,0.00024271462,0.00064579665,0.00082083856,0.0004945759,0.000698991],"category_scores_gemma":[0.002086667,0.00054650847,0.00055293617,0.0004494958,0.0003760827,0.0010218925,0.0008849744,0.000717082,0.0002051289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036685047,0.00016696438,0.0054593612,0.00013644467,0.00016473727,0.00033540872,0.00026720023,0.7513055,0.027486145,0.009515404,0.0005518315,0.20424417],"study_design_scores_gemma":[0.0000027843462,0.000017968117,0.00051809556,0.0000017474532,0.0000058093165,0.00002444025,0.0000048468346,0.9970726,0.0011332481,0.0010987237,0.00011528205,0.0000044461704],"about_ca_topic_score_codex":0.0011976698,"about_ca_topic_score_gemma":0.0018164539,"teacher_disagreement_score":0.0011976698,"about_ca_system_score_codex":0.00022268054,"about_ca_system_score_gemma":0.0002986359,"threshold_uncertainty_score":0.0029369593},"labels":[],"label_agreement":null},{"id":"W2782012676","doi":"10.3390/en11010085","title":"Application and Comparison of Metaheuristic and New Metamodel Based Global Optimization Methods to the Optimal Operation of Active Distribution Networks","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Renewable energy; Mathematical optimization; Computer science; Metaheuristic; Scheduling (production processes); Metamodeling; Smart grid; Computation; Distributed generation; Optimization problem; Engineering; Algorithm; Mathematics","score_opus":0.01475990436778412,"score_gpt":0.3040657101917694,"score_spread":0.2893058058239853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782012676","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":[0.039148953,0.0013525205,0.9524476,0.00024234077,0.00009513907,0.00005969604,0.00007800473,0.00032913365,0.0062465975],"genre_scores_gemma":[0.6440965,0.0015679301,0.35139528,0.00016034883,0.00006202064,0.00020225195,0.00019819273,0.00015211609,0.0021653103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997036,0.00015551917,0.000011495716,0.000027877759,0.000081832884,0.000019703602],"domain_scores_gemma":[0.9994343,0.0003585026,0.000058672616,0.00004511707,0.00008427838,0.000019255145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009378573,0.0007987174,0.0006120408,0.00072834565,0.00021436387,0.0006599947,0.00058091833,0.00069257343,0.0008273634],"category_scores_gemma":[0.0014382929,0.00026156162,0.00092709303,0.0006772104,0.00036452423,0.00054283085,0.00049600546,0.0006401232,0.00011821169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026030453,0.000026561913,0.00024289133,0.000048216956,0.00003035622,0.000014524098,0.000016831771,0.9791412,0.00080484385,0.0034816659,0.00016558095,0.016001295],"study_design_scores_gemma":[0.000003998636,0.000015848778,0.00006355771,0.0000056942313,0.0000042505185,0.000004332926,0.0000055846813,0.9987864,0.00021732372,0.0006086355,0.00028224484,0.0000021578267],"about_ca_topic_score_codex":0.0028828406,"about_ca_topic_score_gemma":0.0029085309,"teacher_disagreement_score":0.0028828406,"about_ca_system_score_codex":0.00050061516,"about_ca_system_score_gemma":0.00060854614,"threshold_uncertainty_score":0.005732119},"labels":[],"label_agreement":null},{"id":"W2783209882","doi":"10.3390/en11010129","title":"Control and EMS of a Grid-Connected Microgrid with Economical Analysis","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Renewable energy; Energy management system; Photovoltaic system; Grid; Energy storage; Scheduling (production processes); Engineering; Supervisory control; Automotive engineering; Control engineering; Energy management; Computer science; Power (physics); Control (management); Electrical engineering; Energy (signal processing); Operations management","score_opus":0.0012721827584565245,"score_gpt":0.14229517849840959,"score_spread":0.14102299573995306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783209882","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21305324,0.00043442147,0.73883533,0.00049789186,0.00005372173,0.00019964897,0.00020464235,0.00046948827,0.046251576],"genre_scores_gemma":[0.99262285,0.000094413605,0.0054240627,0.000010784701,0.000009146958,0.00005341292,0.00002379767,0.000008120296,0.0017533569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998105,0.000062073,0.000007721983,0.00004249984,0.00005155572,0.000025536832],"domain_scores_gemma":[0.9998729,0.000044028,0.00002823543,0.000009977462,0.000037158443,0.000007644589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647759,0.0004993822,0.00034410524,0.0002111269,0.00031515886,0.00081163814,0.00041982473,0.0002991431,0.0018719531],"category_scores_gemma":[0.00048316884,0.00015929072,0.00027874042,0.00021307194,0.00049571146,0.0003280293,0.000471957,0.00037082683,0.00015694315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044497963,0.000016083452,0.00039375256,0.000037067246,0.00001580759,0.00007635415,0.000036034693,0.98222244,0.0016705638,0.007066132,0.00028046736,0.008140867],"study_design_scores_gemma":[0.000007821043,0.000028210361,0.00026584248,0.0000036972192,0.0000076117904,0.000008542957,0.000016432468,0.9976199,0.00034612181,0.0013500304,0.00034332304,0.000002387965],"about_ca_topic_score_codex":0.014451615,"about_ca_topic_score_gemma":0.010892537,"teacher_disagreement_score":0.014451615,"about_ca_system_score_codex":0.0008363226,"about_ca_system_score_gemma":0.0009317518,"threshold_uncertainty_score":0.028734982},"labels":[],"label_agreement":null},{"id":"W2785778026","doi":"10.3390/en11010248","title":"CFD-Driven Valve Shape Optimization for Performance Improvement of a Micro Cross-Flow Turbine","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","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":"Simon Fraser University","funders":"Utdannings- og forskningsdepartementet; Simon Fraser University; Universitetet i Stavanger","keywords":"Turbine; Computational fluid dynamics; Nozzle; Shape optimization; Mechanical engineering; Draft tube; Flow (mathematics); Engineering; Computer science; Aerospace engineering; Structural engineering; Mathematics; Finite element method","score_opus":0.00841752030433071,"score_gpt":0.23029072401066594,"score_spread":0.22187320370633523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785778026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38612825,0.00068094576,0.59966147,0.0002081524,0.00010061831,0.00008134863,0.00011032731,0.0007125024,0.0123163825],"genre_scores_gemma":[0.9635485,0.00011162964,0.034647636,0.000021955055,0.0000079676865,0.00004949347,0.000057909103,0.000041278632,0.0015137312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991024,0.000019567497,0.0000041086955,0.00001599586,0.00003446993,0.000015640147],"domain_scores_gemma":[0.9998281,0.00008183192,0.000025454514,0.000013735374,0.000039296385,0.000011417429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003818694,0.00043370033,0.00051808736,0.00033674392,0.00020730849,0.00052468036,0.00029654233,0.0005351377,0.001193957],"category_scores_gemma":[0.00054587517,0.00028475974,0.0004136559,0.00022182972,0.00030096737,0.00023980299,0.0003666813,0.00032872433,0.00022751099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005099531,0.000030427174,0.00036250157,0.000036225327,0.0000057934044,0.000043546734,0.000014043263,0.97783774,0.011625151,0.0007791761,0.00013817681,0.00907617],"study_design_scores_gemma":[0.0000052850746,0.000042886357,0.00014466654,0.0000019904573,0.0000032750338,0.0000070718943,0.0000034723591,0.9972083,0.0022120536,0.00011710404,0.0002513509,0.0000024930164],"about_ca_topic_score_codex":0.0012463998,"about_ca_topic_score_gemma":0.0010088283,"teacher_disagreement_score":0.0012463998,"about_ca_system_score_codex":0.0003319818,"about_ca_system_score_gemma":0.0006363067,"threshold_uncertainty_score":0.0039942265},"labels":[],"label_agreement":null},{"id":"W2785801672","doi":"10.3390/en11020292","title":"Data Analytics Techniques for Performance Prediction of Steamflooding in Naturally Fractured Carbonate Reservoirs","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Memorial University of Newfoundland","funders":"","keywords":"Petroleum engineering; Environmental science; Oil field; Asphalt; Computer science; Oil viscosity; Field trial; Carbonate; Process engineering; Viscosity; Biological system; Materials science; Geology; Chemistry; Engineering","score_opus":0.02971799845404018,"score_gpt":0.2638415218839823,"score_spread":0.2341235234299421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785801672","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35590312,0.00023829388,0.63743734,0.00019822591,0.000025293239,0.00014204894,0.0013362219,0.0039117294,0.00080766255],"genre_scores_gemma":[0.9180994,0.00015234652,0.080085464,0.000018139166,0.000008854279,0.00014632437,0.00114858,0.000051718587,0.00028917237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995646,0.00010512914,0.000065226515,0.00008550445,0.00014639691,0.00003316134],"domain_scores_gemma":[0.9979001,0.0012930866,0.0002900571,0.000121782665,0.00036280934,0.000032153785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011896521,0.0009615284,0.00058930594,0.0014903345,0.00025430982,0.00064430153,0.00056851143,0.00048511563,0.00054575136],"category_scores_gemma":[0.00465287,0.00028034297,0.00073140056,0.0010254048,0.00020092636,0.00072075287,0.00037550196,0.0006649846,0.00021001762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018882132,0.00032679862,0.02589172,0.00017556043,0.000110944005,0.0001418572,0.00014688935,0.8205237,0.019521777,0.0012566616,0.000598687,0.13111661],"study_design_scores_gemma":[0.000002119195,0.000047079462,0.0022304885,0.000004112597,0.0000063561456,0.000011450493,0.000019532077,0.99351704,0.0037582805,0.00024924756,0.00014694208,0.0000073904844],"about_ca_topic_score_codex":0.008022685,"about_ca_topic_score_gemma":0.0058121653,"teacher_disagreement_score":0.008022685,"about_ca_system_score_codex":0.000551534,"about_ca_system_score_gemma":0.0007104198,"threshold_uncertainty_score":0.015951991},"labels":[],"label_agreement":null},{"id":"W2786840388","doi":"10.3390/en11020267","title":"The Design of High Efficiency Crossflow Hydro Turbines: A Review and Extension","year":2018,"lang":"en","type":"review","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Turbine; Nozzle; Efficient energy use; Optimal design; Engineering; Computer science; Marine engineering; Mechanical engineering; Process engineering; Environmental science; Electrical engineering","score_opus":0.027297071351436174,"score_gpt":0.273678104601537,"score_spread":0.24638103325010086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786840388","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":[0.00043327152,0.9970632,0.0009407689,0.0001491912,0.00011851329,0.0000074964805,0.000018805753,0.000009366159,0.0012593538],"genre_scores_gemma":[0.0020453124,0.99617815,0.00093867164,0.000078911246,0.00012302844,0.000009724665,0.000030295896,0.0000038634116,0.0005920416],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996729,0.000040593393,0.000058332967,0.00007044229,0.00013435425,0.00002353375],"domain_scores_gemma":[0.99943,0.00027783395,0.0001079043,0.00001645877,0.00014404532,0.000023701305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006529898,0.00093279727,0.0012514121,0.0020559516,0.00028997308,0.0010545609,0.0008874371,0.0010118479,0.0027088572],"category_scores_gemma":[0.00091384887,0.00057609315,0.0007359845,0.0025543373,0.00039828388,0.001625466,0.0005539667,0.0010246768,0.0012977541],"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":[0.000056779325,0.00016611646,0.0003660675,0.05983997,0.00013892102,0.00025904956,0.00013528064,0.003964365,0.0061259596,0.013204259,0.013750646,0.9019925],"study_design_scores_gemma":[0.000012600876,0.00024210462,0.0011020304,0.006770213,0.00017590304,0.0009992414,0.00010452877,0.00090629415,0.0029898826,0.004170094,0.98247886,0.00004832423],"about_ca_topic_score_codex":0.00067907036,"about_ca_topic_score_gemma":0.000847269,"teacher_disagreement_score":0.0027088572,"about_ca_system_score_codex":0.00035523978,"about_ca_system_score_gemma":0.0010105242,"threshold_uncertainty_score":0.009061992},"labels":[],"label_agreement":null},{"id":"W2787090555","doi":"10.3390/en11020362","title":"Simulation-Optimization Framework for Synthesis and Design of Natural Gas Downstream Utilization Networks","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Catalysts for Methane Reforming","field":"Chemical 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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Qatar University","keywords":"Natural gas; Upgrade; Syngas; Liquefied natural gas; Downstream (manufacturing); Process engineering; Operating cost; Renewable natural gas; Computer science; Environmental science; Engineering; Waste management; Fuel gas; Hydrogen; Operations management; Chemistry","score_opus":0.025282840120351906,"score_gpt":0.2730043328007253,"score_spread":0.24772149268037338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787090555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0098608965,0.00043104298,0.9728942,0.00024072584,0.000055473913,0.00015937051,0.00028533707,0.00040815427,0.015664814],"genre_scores_gemma":[0.62695783,0.0015391421,0.35458395,0.00019547461,0.000085564294,0.0017594744,0.001024243,0.0003063632,0.01354798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995301,0.00020703136,0.00001988192,0.00005265078,0.00011732745,0.00007296235],"domain_scores_gemma":[0.99940515,0.00035734664,0.000051304047,0.000022314247,0.00012939073,0.000034508153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011869435,0.0015506137,0.0014016886,0.00077715196,0.0007159253,0.0012214872,0.001460559,0.0013967801,0.0050913044],"category_scores_gemma":[0.0017027599,0.0007615903,0.0015635169,0.00071908196,0.0008289816,0.000703123,0.0011334199,0.0012823036,0.0005948786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005461854,0.0000052701207,0.000040763054,0.0000109854245,0.0000043478185,0.0000072727307,0.0000042071756,0.99638677,0.00010017421,0.0027630555,0.000057843066,0.00061381],"study_design_scores_gemma":[0.000004314675,0.000004142515,0.000011696546,0.000003189891,0.0000021313224,0.0000013971064,0.0000026716284,0.9983625,0.00006634671,0.0011665612,0.00037362025,0.0000014760299],"about_ca_topic_score_codex":0.017929666,"about_ca_topic_score_gemma":0.01093642,"teacher_disagreement_score":0.017929666,"about_ca_system_score_codex":0.0017162134,"about_ca_system_score_gemma":0.0029521359,"threshold_uncertainty_score":0.03565061},"labels":[],"label_agreement":null},{"id":"W2787727018","doi":"10.3390/en11020387","title":"Detailed Theoretical Characterization of a Transcritical CO2 Direct Expansion Ground Source Heat Pump Water Heater","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Transcritical cycle; Heat pump; Refrigerant; Air source heat pumps; Heat exchanger; Process engineering; Engineering; Coefficient of performance; Mechanical engineering; Environmental science; Petroleum engineering","score_opus":0.007997251593372565,"score_gpt":0.21454586080761898,"score_spread":0.20654860921424642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787727018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87883735,0.0008408959,0.104112275,0.00035811734,0.000056114794,0.00035209837,0.0012596364,0.0012319123,0.012951649],"genre_scores_gemma":[0.99290174,0.00019697942,0.004452527,0.000015263058,0.0000052896116,0.00010018654,0.00026123345,0.000031020125,0.0020355838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957913,0.00004352941,0.000015531728,0.00009841175,0.00021354265,0.00004989006],"domain_scores_gemma":[0.9997483,0.00011686299,0.000025996478,0.00003435985,0.00006610516,0.000008387577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042217592,0.000447834,0.0007639767,0.00045643686,0.00055935973,0.000730761,0.0010327996,0.0008406787,0.0021675217],"category_scores_gemma":[0.0007291437,0.00041278102,0.0006402212,0.00028152525,0.0007387344,0.00082096056,0.0003039258,0.00043579566,0.00053965964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029644932,0.00011652671,0.0040962496,0.00052374124,0.000033930744,0.0003575623,0.00025103678,0.7500506,0.22133315,0.006528513,0.0008938324,0.01551845],"study_design_scores_gemma":[0.000024350935,0.00030355426,0.0026830744,0.000012947937,0.000018213288,0.000052347554,0.00005801894,0.9194945,0.074791215,0.0006783829,0.0018585646,0.00002491504],"about_ca_topic_score_codex":0.004728825,"about_ca_topic_score_gemma":0.0028129113,"teacher_disagreement_score":0.004728825,"about_ca_system_score_codex":0.0015316622,"about_ca_system_score_gemma":0.0010584939,"threshold_uncertainty_score":0.011113048},"labels":[],"label_agreement":null},{"id":"W2787732265","doi":"10.3390/en11020312","title":"Natural Fractures Characterization and In Situ Stresses Inference in a Carbonate Reservoir—An Integrated Approach","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Carbonate; In situ; Reservoir modeling; Characterization (materials science); Geology; Inference; Petroleum engineering; Mineralogy; Computer science; Materials science; Chemistry; Artificial intelligence; Metallurgy; Nanotechnology","score_opus":0.0075426027458876665,"score_gpt":0.23359143647070393,"score_spread":0.22604883372481627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787732265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9304939,0.00013146251,0.06807982,0.000020578045,0.000004576029,0.000024006718,0.0002968249,0.00014092709,0.0008078616],"genre_scores_gemma":[0.97593737,0.000070751186,0.0234592,0.0000053403014,0.000006807382,0.000012133873,0.00018438685,0.000011140998,0.00031281376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998122,0.000016445007,0.000013256269,0.0000721997,0.000055307348,0.000030630104],"domain_scores_gemma":[0.9997726,0.000032269338,0.000058640562,0.00002348063,0.000080974,0.000032106338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020274207,0.00041559676,0.00033505165,0.0022525298,0.000255256,0.00050392485,0.00045224733,0.0004430917,0.0006000209],"category_scores_gemma":[0.0003252485,0.00032052892,0.00034233896,0.00087231066,0.00021125276,0.00063913997,0.00043264058,0.00023878155,0.000121405326],"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":[0.00030694707,0.00034859675,0.34606624,0.00023976559,0.0002151917,0.0006787257,0.00076271314,0.05282972,0.43653697,0.00056333333,0.00020775702,0.16124406],"study_design_scores_gemma":[0.000014738915,0.00035889866,0.4724323,0.000029710518,0.00020512566,0.0006322514,0.001282351,0.45545825,0.067257255,0.0012819114,0.0009686364,0.00007857341],"about_ca_topic_score_codex":0.0039876923,"about_ca_topic_score_gemma":0.01640058,"teacher_disagreement_score":0.0039876923,"about_ca_system_score_codex":0.00022529643,"about_ca_system_score_gemma":0.00031534702,"threshold_uncertainty_score":0.0079289675},"labels":[],"label_agreement":null},{"id":"W2787940013","doi":"10.3390/en11020286","title":"Numerical Simulation of Fluid Flow through Fractal-Based Discrete Fractured Network","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Science and Technology Major Project; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Shandong Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Fracture (geology); Fractal; Geology; Hydraulic fracturing; Flow (mathematics); Network model; Petroleum engineering; Fluid dynamics; Tight gas; Mechanics; Geotechnical engineering; Workflow; Oil shale; Computer simulation; Computer science; Geometry; Mathematics; Simulation; Artificial intelligence","score_opus":0.007630484193345674,"score_gpt":0.2389137557846104,"score_spread":0.23128327159126474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787940013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79945296,0.0004334485,0.18505475,0.0005266641,0.000085879255,0.000065358545,0.0006858655,0.0004703076,0.013224843],"genre_scores_gemma":[0.98568743,0.00009532621,0.013046292,0.000018793522,0.000006543835,0.00004197036,0.00012787383,0.00001491817,0.0009608289],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999889,0.000024601908,0.0000071650547,0.000023727842,0.0000325688,0.000022956356],"domain_scores_gemma":[0.9996482,0.00019227712,0.000049923354,0.00002619947,0.000057848127,0.00002552341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021753467,0.00033765368,0.00036135348,0.00059607706,0.00049436616,0.00053676683,0.0005878037,0.0010665323,0.0011482363],"category_scores_gemma":[0.0007529025,0.00023092337,0.0004992076,0.00053707644,0.00071458315,0.0005366435,0.00041225483,0.00040736026,0.00008257775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013375359,0.00001611571,0.0010742367,0.000015660484,0.000007077053,0.000044644865,0.000022539722,0.99401385,0.0011611099,0.0024465574,0.00009362245,0.001091165],"study_design_scores_gemma":[0.0000014231265,0.0000020161324,0.000091773865,0.0000010250689,5.9585904e-7,0.0000028323473,0.000002770472,0.99956125,0.00009612675,0.00019295324,0.000045836925,0.0000014096943],"about_ca_topic_score_codex":0.015013894,"about_ca_topic_score_gemma":0.006148363,"teacher_disagreement_score":0.015013894,"about_ca_system_score_codex":0.00085794687,"about_ca_system_score_gemma":0.0006118967,"threshold_uncertainty_score":0.029853046},"labels":[],"label_agreement":null},{"id":"W2790515006","doi":"10.3390/en11040704","title":"Methodology for the Study of the Envelope Airtightness of Residential Buildings in Spain: A Case Study","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":44,"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":"European Social Fund; Ministerio de Economía y Competitividad","keywords":"Building envelope; Cabin pressurization; Engineering; Energy performance; Architectural engineering; Indoor air quality; Natural ventilation; Environmental science; Envelope (radar); Civil engineering; Ventilation (architecture); Efficient energy use; Environmental engineering; Meteorology; Geography; Mechanical engineering; Telecommunications","score_opus":0.04346404525244577,"score_gpt":0.2907049519208016,"score_spread":0.24724090666835583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790515006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31830576,0.0004830499,0.665923,0.000075371056,0.000024239438,0.003143652,0.0022687935,0.00028245838,0.009493705],"genre_scores_gemma":[0.5470206,0.0004899746,0.44333673,0.000030706615,0.000012251088,0.0042713284,0.002103319,0.00004079699,0.0026942566],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99867153,0.00059261743,0.00011614769,0.0002267422,0.0003063664,0.00008659181],"domain_scores_gemma":[0.99844545,0.00085240725,0.00017228846,0.00015984962,0.00033058497,0.000039421597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019595844,0.0006438129,0.00050641573,0.0024755523,0.00038795147,0.00088255375,0.0008913641,0.00067258225,0.0033938906],"category_scores_gemma":[0.0032524464,0.0002171362,0.0007872705,0.0019377734,0.00037803035,0.0003172383,0.00085034367,0.00028714276,0.00046336136],"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":[0.00065112225,0.001779548,0.14723077,0.0022218486,0.00022449784,0.0024205155,0.0039019953,0.20871441,0.037589237,0.017499208,0.002793869,0.57497305],"study_design_scores_gemma":[0.00028026942,0.0027243514,0.20874877,0.0010275517,0.0003915441,0.0031305177,0.016511394,0.6370575,0.049389977,0.015008724,0.06553051,0.00019895184],"about_ca_topic_score_codex":0.0041661966,"about_ca_topic_score_gemma":0.0049662655,"teacher_disagreement_score":0.0041661966,"about_ca_system_score_codex":0.0006832106,"about_ca_system_score_gemma":0.0011199377,"threshold_uncertainty_score":0.011353672},"labels":[],"label_agreement":null},{"id":"W2791838709","doi":"10.3390/en11020452","title":"Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Energy consumption; Data mining; Cluster analysis; Context (archaeology); Time series; Support vector machine; Data stream mining; Energy (signal processing); Multilayer perceptron; Naive Bayes classifier; Machine learning; Big data; Perceptron; Artificial intelligence; Artificial neural network; Statistics; Engineering","score_opus":0.0881932956125111,"score_gpt":0.2560202266840608,"score_spread":0.16782693107154972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791838709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13270515,0.006723813,0.817648,0.003819126,0.0009034488,0.00045026705,0.020250086,0.0086892275,0.008810883],"genre_scores_gemma":[0.7722924,0.003572244,0.19986443,0.00045714248,0.00035408884,0.00039678236,0.021029528,0.00022039533,0.0018130359],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989925,0.00019681505,0.00015316589,0.00024660397,0.00034858298,0.00006233983],"domain_scores_gemma":[0.9976871,0.000940502,0.0003506371,0.0004596898,0.0004860416,0.00007595903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011948592,0.0014105546,0.0010499981,0.0036027352,0.00047297546,0.001297641,0.0012547676,0.000730383,0.001189058],"category_scores_gemma":[0.0049380814,0.00036012713,0.0010632763,0.0049226973,0.00028308472,0.0020199472,0.0007327473,0.0013078108,0.0007929799],"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":[0.00036671408,0.0010374865,0.07090248,0.0013118528,0.00075298396,0.0007183701,0.00037615263,0.21259226,0.012034354,0.015730724,0.033811152,0.6503655],"study_design_scores_gemma":[0.000015241303,0.000072461175,0.016021334,0.00012049051,0.00007068885,0.00016943393,0.00034415122,0.94346565,0.0061477367,0.022788335,0.010744311,0.000040085884],"about_ca_topic_score_codex":0.0050941505,"about_ca_topic_score_gemma":0.0065963464,"teacher_disagreement_score":0.0050941505,"about_ca_system_score_codex":0.0005936408,"about_ca_system_score_gemma":0.0007695379,"threshold_uncertainty_score":0.010128975},"labels":[],"label_agreement":null},{"id":"W2792194565","doi":"10.3390/en11030670","title":"Comparison of the Net Work Output between Stirling and Ericsson Cycles","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Transport Canada","keywords":"Stirling engine; Work output; Work (physics); Stirling cycle; Volume (thermodynamics); Net (polyhedron); Constant (computer programming); Heat engine; Mathematics; Thermodynamics; Mechanics; Control theory (sociology); Computer science; Physics","score_opus":0.019675906550755407,"score_gpt":0.2578246745996544,"score_spread":0.238148768048899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792194565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95408446,0.0015059527,0.016210787,0.00008616063,0.000064882086,0.00007982871,0.0007723014,0.00024303893,0.02695264],"genre_scores_gemma":[0.98639804,0.0005344564,0.004914472,0.000027462738,0.000009364993,0.000064328175,0.00079937134,0.00011726976,0.0071351775],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992944,0.000058519905,0.000044559696,0.000072936244,0.0004465139,0.00008311329],"domain_scores_gemma":[0.9992512,0.00027529543,0.00006772331,0.000057322533,0.00031892158,0.000029561024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009160436,0.00039945485,0.0006040789,0.0016685757,0.00029838659,0.00073148694,0.00064416556,0.00037176395,0.0021433635],"category_scores_gemma":[0.0020019077,0.00016459834,0.00038139676,0.001357828,0.00030624805,0.0008544283,0.0004474971,0.0002194251,0.0006721603],"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":[0.0049174856,0.0003253688,0.05689223,0.0020352567,0.00027581988,0.0009814247,0.00076626247,0.1537212,0.34231475,0.016314896,0.0033152457,0.41814002],"study_design_scores_gemma":[0.00009826353,0.0028868932,0.093166694,0.0001367011,0.00017647301,0.0004975291,0.0009307526,0.06689839,0.80177885,0.0067241993,0.026540868,0.00016445579],"about_ca_topic_score_codex":0.0009861289,"about_ca_topic_score_gemma":0.0027423475,"teacher_disagreement_score":0.0021433635,"about_ca_system_score_codex":0.0005208548,"about_ca_system_score_gemma":0.00045350962,"threshold_uncertainty_score":0.00717026},"labels":[],"label_agreement":null},{"id":"W2792527032","doi":"10.3390/en11030517","title":"Modeling the Insulation Paper Drying Process from Thermogravimetric Analyses","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Moisture; Residual; Process engineering; Materials science; Process (computing); Water content; Transformer; Pulp and paper industry; Gravimetric analysis; Environmental science; Composite material; Computer science; Chemistry; Engineering; Geotechnical engineering; Electrical engineering","score_opus":0.029099855317879814,"score_gpt":0.27859344920179735,"score_spread":0.24949359388391754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792527032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06270781,0.0015027623,0.9216552,0.00030188277,0.00009006071,0.00023310143,0.0006130732,0.0004898247,0.012406293],"genre_scores_gemma":[0.7859183,0.005622899,0.17307633,0.00014136842,0.00005458936,0.0007925797,0.0009520614,0.00026549993,0.03317643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983454,0.000025959995,0.000014436545,0.000050521103,0.000055429035,0.000019059982],"domain_scores_gemma":[0.9997409,0.00014891391,0.00004182223,0.000014879019,0.000048163034,0.0000053076865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005917092,0.00072790444,0.00049938867,0.000664695,0.0002429779,0.0009948617,0.0010504979,0.0012448321,0.0017210975],"category_scores_gemma":[0.0010364505,0.0005628995,0.000953818,0.0005995367,0.0003696788,0.0012032796,0.00035894907,0.0007745646,0.00083441293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027229864,0.00006075593,0.0008261115,0.00026282016,0.00001903066,0.00014232015,0.00007549979,0.94962764,0.022334931,0.014066919,0.0003787858,0.012177996],"study_design_scores_gemma":[0.0000028216512,0.0000151772765,0.00019290883,0.000008450914,0.000007757214,0.000032477205,0.0000066914363,0.99431944,0.0027949272,0.0015529448,0.0010586437,0.000007698403],"about_ca_topic_score_codex":0.0059810956,"about_ca_topic_score_gemma":0.0044120024,"teacher_disagreement_score":0.0059810956,"about_ca_system_score_codex":0.0008209125,"about_ca_system_score_gemma":0.0009100847,"threshold_uncertainty_score":0.011892557},"labels":[],"label_agreement":null},{"id":"W2793229896","doi":"10.3390/en11030516","title":"Mechanical and Alkaline Hydrothermal Treated Corn Residue Conversion in to Bioenergy and Biofertilizer: A Resource Recovery Concept","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Bioenergy; Biogas; Anaerobic digestion; Chemistry; Biofertilizer; Raw material; Pulp and paper industry; Waste management; Agronomy; Methane; Biotechnology; Biofuel; Biology","score_opus":0.00654874029014186,"score_gpt":0.19872485718558708,"score_spread":0.19217611689544523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793229896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94502056,0.0051853615,0.041064087,0.00024862427,0.000068966496,0.00007268499,0.000097357835,0.00008001063,0.008162434],"genre_scores_gemma":[0.9807442,0.0016420448,0.012337918,0.0000438666,0.000019341373,0.00002663104,0.00007190552,0.000013943642,0.0051002027],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992704,0.000005160273,0.0000035480482,0.00001829987,0.00003098391,0.000014953805],"domain_scores_gemma":[0.9999734,0.0000031569416,0.000009689572,0.0000034223337,0.0000063994466,0.000003962003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009106522,0.00026137914,0.0001732059,0.00020696661,0.00013519231,0.00042201296,0.0002913809,0.00034608084,0.00094102544],"category_scores_gemma":[0.000060627575,0.00013597825,0.00029977804,0.00018325349,0.00018721155,0.0004908185,0.0002396069,0.00034540184,0.00025749477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039977633,0.000043523833,0.00021065718,0.000116632546,0.000006667159,0.000074552554,0.000016873697,0.0004618975,0.99215853,0.00086107693,0.00003099534,0.0059785983],"study_design_scores_gemma":[0.000009273607,0.000367546,0.0014979116,0.000008094626,0.00002129248,0.00026766048,0.00006464092,0.0036767256,0.9889227,0.00027203528,0.0048813727,0.0000106638345],"about_ca_topic_score_codex":0.00034242857,"about_ca_topic_score_gemma":0.0007999166,"teacher_disagreement_score":0.00094102544,"about_ca_system_score_codex":0.0001934958,"about_ca_system_score_gemma":0.00017061636,"threshold_uncertainty_score":0.003148079},"labels":[],"label_agreement":null},{"id":"W2793855145","doi":"10.3390/en11040709","title":"Energy Non-Availability in Distribution Grids with Heavy Penetration of Solar Power: Assessment and Mitigation through Solar Smoother","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":12,"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":"Department of Science and Technology, Ministry of Science and Technology, India; Ministry of New and Renewable Energy India; Indian Institute of Engineering Science and Technology, Shibpur","keywords":"Solar irradiance; Photovoltaic system; Environmental science; Grid-connected photovoltaic power system; Irradiance; Solar power; Solar energy; Grid parity; Grid; Renewable energy; Distributed generation; Power (physics); Electrical engineering; Engineering; Maximum power point tracking; Voltage; Meteorology; Photovoltaics; Physics; Mathematics","score_opus":0.007373491272523065,"score_gpt":0.2520808120363421,"score_spread":0.24470732076381901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793855145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97605306,0.00013664848,0.021672733,0.00009331672,0.000006642433,0.000035095738,0.00010550588,0.00010244057,0.0017947115],"genre_scores_gemma":[0.998569,0.000039056362,0.0012180719,0.0000026345165,0.0000013411708,0.0000033530696,0.000026060929,0.000002883368,0.00013764054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981886,0.00007471675,0.000008699587,0.0000208046,0.000052838805,0.000024093606],"domain_scores_gemma":[0.99934715,0.00035200032,0.00015056842,0.000039882165,0.000080715305,0.000029551515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006029857,0.0003565445,0.00039500804,0.0004500051,0.0001846831,0.0004485013,0.00028834157,0.0002973747,0.0004440973],"category_scores_gemma":[0.00082908734,0.00017325644,0.00027296253,0.00041605023,0.00019048595,0.0005317055,0.0003525216,0.00026291775,0.00004724126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036893834,0.00014646426,0.042367768,0.00010364479,0.00007051008,0.00043117304,0.00008951182,0.9230835,0.007180884,0.00074342533,0.00029595764,0.025118163],"study_design_scores_gemma":[0.000019202029,0.00025586132,0.037648655,0.000010261984,0.000033466968,0.00007686278,0.00015920796,0.95793873,0.0029797596,0.00057726615,0.00028925913,0.000011456142],"about_ca_topic_score_codex":0.00514334,"about_ca_topic_score_gemma":0.009916108,"teacher_disagreement_score":0.00514334,"about_ca_system_score_codex":0.00039563535,"about_ca_system_score_gemma":0.0002810007,"threshold_uncertainty_score":0.010226786},"labels":[],"label_agreement":null},{"id":"W2794366271","doi":"10.3390/en11030648","title":"Small Landowner Production of Pellets from Green, Beetle-Killed, and Burned Lodgepole Pine","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Pellets; Raw material; Bioenergy; Environmental science; Pinus contorta; Pellet; Bark beetle; Pulp and paper industry; Mountain pine beetle; Bark (sound); Agroforestry; Biofuel; Forestry; Waste management; Geography; Materials science; Engineering; Ecology","score_opus":0.011942408526321757,"score_gpt":0.1892129790058652,"score_spread":0.17727057047954345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794366271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995259,0.000024625126,0.00022390758,0.0000014928011,8.6273116e-7,0.000013663687,0.00003361012,0.000003886026,0.00017217861],"genre_scores_gemma":[0.9968226,0.000059022273,0.0020038828,0.000008396468,9.4684384e-7,0.000012795614,0.00016532947,0.0000071824547,0.0009198173],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99977523,0.000028081598,0.0000144662545,0.00006653608,0.00008508187,0.000030653173],"domain_scores_gemma":[0.99966097,0.000067094916,0.0000897319,0.00003373136,0.000076166165,0.000072343704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039883482,0.0002620691,0.00015557387,0.0003539474,0.00035904456,0.00047152754,0.00024521115,0.00012255182,0.0012582301],"category_scores_gemma":[0.0004068988,0.00011032276,0.00019533487,0.00028182523,0.00020590372,0.00029080058,0.0002329792,0.00019471509,0.00012796572],"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":[0.0015236639,0.0006560503,0.07856134,0.0001552643,0.0000655539,0.0005008605,0.0005529856,0.00064891746,0.8861649,0.000059072514,0.000093173636,0.031018142],"study_design_scores_gemma":[0.000053040578,0.005703941,0.59909606,0.000029884675,0.0001114962,0.0004255357,0.0011343539,0.0018836411,0.38935602,0.000037019352,0.0021494357,0.00001960242],"about_ca_topic_score_codex":0.0052007483,"about_ca_topic_score_gemma":0.035687607,"teacher_disagreement_score":0.0052007483,"about_ca_system_score_codex":0.0003836215,"about_ca_system_score_gemma":0.00020200362,"threshold_uncertainty_score":0.010340929},"labels":[],"label_agreement":null},{"id":"W2797796138","doi":"10.3390/en11040872","title":"On the Effects of Variation of Thermal Conductivity in Buildings in the Italian Construction Sector","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Thermal conductivity; Thermal insulation; Thermal; Materials science; Heat transfer; Nonlinear system; Conductivity; Composite material; Thermal conduction; Layer (electronics); Mechanics; Thermodynamics; Physics","score_opus":0.009231672761706949,"score_gpt":0.19654884020388658,"score_spread":0.18731716744217963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797796138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989749,0.000060882925,0.00015790685,0.000009070547,7.5208123e-7,0.0000021763667,0.000063679654,0.000007882553,0.0007227531],"genre_scores_gemma":[0.9997844,0.0000227352,0.000049526992,0.0000015338438,8.716082e-7,0.0000019230934,0.00007102769,0.0000027571589,0.00006518514],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949634,0.00018994366,0.000018569717,0.000097067765,0.00008197251,0.000116105904],"domain_scores_gemma":[0.9991774,0.00042816764,0.00017795636,0.00011203067,0.00007544272,0.000028997518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004789501,0.00031591213,0.00022095053,0.00046026113,0.00028588268,0.00050508406,0.0002455862,0.00043563326,0.00064210146],"category_scores_gemma":[0.0010663484,0.00011535939,0.00038052048,0.0007732242,0.00055353413,0.00027228257,0.00032668017,0.00015911934,0.00024660313],"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":[0.0013259954,0.0003910519,0.7927039,0.00018572636,0.0001666219,0.0011725122,0.0019024201,0.10668309,0.062783815,0.00082866265,0.00062698644,0.031229142],"study_design_scores_gemma":[0.000005463171,0.00016374984,0.9819302,0.0000068860563,0.000033321616,0.00016802213,0.00036064154,0.011052578,0.0057331487,0.000079645026,0.00045034452,0.000015990418],"about_ca_topic_score_codex":0.009673331,"about_ca_topic_score_gemma":0.011231718,"teacher_disagreement_score":0.009673331,"about_ca_system_score_codex":0.0007983453,"about_ca_system_score_gemma":0.00020184324,"threshold_uncertainty_score":0.019234061},"labels":[],"label_agreement":null},{"id":"W2800662092","doi":"10.3390/en11040988","title":"X-Pinch Plasma Generation Testing for Neutron Source Development and Nuclear Fusion","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Nuclear fusion; Nuclear engineering; Plasma; Fusion power; Z-pinch; Pinch; Nuclear physics; Fusion; Neutron; Nuclear data; Physics; Electrical engineering; Engineering","score_opus":0.02416306978058091,"score_gpt":0.21480646595433509,"score_spread":0.19064339617375417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800662092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8469773,0.001185354,0.11354826,0.0007974789,0.00052579027,0.0009205106,0.0015818916,0.0021986384,0.032264654],"genre_scores_gemma":[0.9321148,0.0005225646,0.057092153,0.00012627804,0.000021730188,0.0003953382,0.00073958735,0.00023217032,0.008755367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886346,0.00009528802,0.000048489346,0.00012694356,0.0007435987,0.00012226417],"domain_scores_gemma":[0.9989065,0.00016595959,0.00010581125,0.00017129093,0.00058905385,0.000061328385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012991484,0.000564956,0.00041179606,0.000596397,0.0007287876,0.000730777,0.000939729,0.0008910185,0.0054636206],"category_scores_gemma":[0.0017113888,0.0002989689,0.0003802271,0.0005295691,0.00044477408,0.0010928728,0.0008422843,0.00063522515,0.00102804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057005044,0.00029928284,0.0076360763,0.0005550611,0.00003177579,0.0006186641,0.0006336827,0.0075560873,0.9212151,0.0063529713,0.0029254493,0.05160573],"study_design_scores_gemma":[0.00004398131,0.0011406938,0.0053102784,0.000046276076,0.000019111105,0.0003043025,0.00025640067,0.015421212,0.9594674,0.001050139,0.016898265,0.00004191738],"about_ca_topic_score_codex":0.0012024525,"about_ca_topic_score_gemma":0.0020022907,"teacher_disagreement_score":0.0054636206,"about_ca_system_score_codex":0.0010965947,"about_ca_system_score_gemma":0.0007908217,"threshold_uncertainty_score":0.018277645},"labels":[],"label_agreement":null},{"id":"W2800733549","doi":"10.3390/en11051036","title":"Microbial Biodiesel Production by Direct Transesterification of Rhodotorula glutinis Biomass","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","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":"Beef Cattle Research Council; Tunghai University","keywords":"Transesterification; Biodiesel; Biodiesel production; Fatty acid methyl ester; Methanol; Rhodotorula; Chemistry; Biomass (ecology); Yield (engineering); Sodium hydroxide; Organic chemistry; Catalysis; Materials science; Yeast; Biology; Biochemistry; Agronomy","score_opus":0.006023588992966536,"score_gpt":0.2164794034485202,"score_spread":0.21045581445555367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800733549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279153,0.001018045,0.0042651296,0.00006125201,0.000020745636,0.00004063953,0.00018345738,0.000061849554,0.0015573755],"genre_scores_gemma":[0.99194807,0.0010120816,0.0051021674,0.000019968336,0.0000064031865,0.00002487124,0.00036440045,0.000019968375,0.0015021381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998627,0.000020701526,0.000014892332,0.00004556988,0.000032574902,0.00002357279],"domain_scores_gemma":[0.9999565,0.0000073085243,0.000013182484,0.000006727909,0.000009763718,0.00000650531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019930888,0.0009626105,0.0002454516,0.00024053942,0.00008512793,0.00027968516,0.0002051381,0.0003002397,0.0005829503],"category_scores_gemma":[0.00012943505,0.000104414066,0.00041416785,0.00022029823,0.00013418424,0.00032786798,0.00035976633,0.00037199102,0.0003962817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027313883,0.00002003467,0.0001301664,0.00004151122,0.0000048403704,0.000034637316,0.000007629401,0.00007605838,0.99827385,0.000020526197,0.000006735851,0.0013565578],"study_design_scores_gemma":[0.0000051976926,0.00011355365,0.0007022157,0.000005116636,0.000011705699,0.00005184645,0.000012061716,0.00029758678,0.998357,0.000009372967,0.0004318266,0.0000025413485],"about_ca_topic_score_codex":0.00043068844,"about_ca_topic_score_gemma":0.00064040604,"teacher_disagreement_score":0.0009626105,"about_ca_system_score_codex":0.00017279516,"about_ca_system_score_gemma":0.00011483303,"threshold_uncertainty_score":0.0019502044},"labels":[],"label_agreement":null},{"id":"W2801138230","doi":"10.3390/en11051100","title":"Investigation of Airflow Patterns in a New Design of Wind Tower with a Wetted Surface","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Airflow; Tower; Environmental science; Marine engineering; Meteorology; Atmospheric sciences; Engineering; Structural engineering; Geology; Mechanical engineering; Geography","score_opus":0.01739929708761013,"score_gpt":0.2025167877714479,"score_spread":0.1851174906838378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801138230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.926884,0.00027069013,0.06991947,0.000049642047,0.00011268342,0.00007155091,0.00018431756,0.0002585664,0.0022489654],"genre_scores_gemma":[0.9622708,0.00013854,0.036438875,0.000010636204,0.000008592744,0.000038634338,0.000110242836,0.000014247495,0.0009695066],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998611,0.000020475927,0.000010898293,0.000040702456,0.000047068974,0.000019719884],"domain_scores_gemma":[0.99980694,0.000038296967,0.000046093875,0.00003346676,0.000057941463,0.00001732278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021980725,0.0003702985,0.00033610692,0.0003099278,0.00019166546,0.00038860235,0.00034293626,0.00041932383,0.00067896396],"category_scores_gemma":[0.0003359165,0.00020076723,0.00037299294,0.00015421273,0.00028023662,0.00035805893,0.00011363449,0.00021837819,0.00015620413],"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":[0.00034772386,0.0003285202,0.014104545,0.00049447693,0.00007415636,0.0006814806,0.00019270464,0.1254684,0.7979328,0.001385027,0.00076763955,0.058222353],"study_design_scores_gemma":[0.000121822115,0.003589543,0.047785662,0.000055173976,0.0001683611,0.000819744,0.00019517922,0.72774684,0.20994675,0.00038099577,0.009097503,0.00009240501],"about_ca_topic_score_codex":0.00058355986,"about_ca_topic_score_gemma":0.0014344825,"teacher_disagreement_score":0.00067896396,"about_ca_system_score_codex":0.00017492354,"about_ca_system_score_gemma":0.00023661833,"threshold_uncertainty_score":0.0022713542},"labels":[],"label_agreement":null},{"id":"W2801415660","doi":"10.3390/en11051139","title":"A Novel Busbar Protection Based on the Average Product of Fault Components","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Busbar; Fault (geology); Engineering; Circuit breaker; Line (geometry); Electronic engineering; Electrical engineering; Reliability engineering; Mathematics","score_opus":0.01954781859125523,"score_gpt":0.20645295829418553,"score_spread":0.1869051397029303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801415660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028216721,0.0006373387,0.9651769,0.00006511831,0.00011575141,0.00007335615,0.00006960219,0.002689786,0.0029554975],"genre_scores_gemma":[0.75239635,0.000798488,0.23973547,0.00008758541,0.00013764056,0.00009253757,0.00029128612,0.00012169091,0.0063390695],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997639,0.000029233794,0.000013331173,0.00007231473,0.000100492274,0.000020765103],"domain_scores_gemma":[0.9998385,0.000026219306,0.000032414584,0.000030690273,0.000060001992,0.000012170316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013567452,0.0009015494,0.000489143,0.00071707554,0.00027446984,0.0005181076,0.0008818326,0.00044360754,0.0019183316],"category_scores_gemma":[0.00030350217,0.00021747743,0.0002931019,0.0004116575,0.00024229243,0.000958373,0.00034089945,0.0003654137,0.0005856195],"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":[0.00046618716,0.00010937486,0.0019385621,0.0006303615,0.00011826128,0.0006007063,0.00023567135,0.028973695,0.38687864,0.011213306,0.0036623448,0.565173],"study_design_scores_gemma":[0.0002862068,0.0019643083,0.00692569,0.00010751082,0.000309203,0.0036575438,0.00008989567,0.63728327,0.28209406,0.007456246,0.059710752,0.00011533457],"about_ca_topic_score_codex":0.0005346926,"about_ca_topic_score_gemma":0.0006457923,"teacher_disagreement_score":0.0019183316,"about_ca_system_score_codex":0.00023051948,"about_ca_system_score_gemma":0.00023448387,"threshold_uncertainty_score":0.006417513},"labels":[],"label_agreement":null},{"id":"W2801683423","doi":"10.3390/en11041012","title":"Simulation and Experimental Studies of a Multi-Tubular Floating Sea Wave Damper","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":19,"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":"Independent Electricity System Operator; Narodowe Centrum Badań i Rozwoju; Ministerstwo Edukacji i Nauki; Uniwersytet Szczeciński","keywords":"Buoyancy; Damper; Wave height; Compensation (psychology); Engineering; Marine engineering; Simulation software; Software; Structural engineering; Mechanics; Geology; Physics; Computer science","score_opus":0.05150140136361007,"score_gpt":0.29604941230660564,"score_spread":0.24454801094299558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801683423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98269546,0.00008497149,0.015323565,0.000051477542,0.000037546906,0.000076704244,0.00012256029,0.00014660365,0.0014610266],"genre_scores_gemma":[0.9923465,0.00007207015,0.006352476,0.000007006759,0.000002790681,0.00004718639,0.000069920374,0.00000681723,0.001095169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997342,0.00004759629,0.000024398201,0.000050965482,0.000096012816,0.000046672667],"domain_scores_gemma":[0.999456,0.00024181514,0.00006240403,0.00008682346,0.00009907072,0.000053790147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006029417,0.00039380806,0.0005085953,0.00042702875,0.00031170424,0.00039569606,0.00080340885,0.00077701197,0.0022209848],"category_scores_gemma":[0.00087527715,0.00017401457,0.0004431671,0.00023067424,0.00046879976,0.00032584998,0.00040723057,0.00032083679,0.000228174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016848578,0.001228424,0.010984169,0.0009755757,0.00008442015,0.0016504396,0.001153215,0.59316164,0.35036367,0.0017635901,0.00066133274,0.03628867],"study_design_scores_gemma":[0.0002272138,0.0057404777,0.011576107,0.000054923265,0.00008880475,0.00021940056,0.00049921504,0.88033384,0.09796672,0.0003566885,0.0028794452,0.00005713731],"about_ca_topic_score_codex":0.0010153421,"about_ca_topic_score_gemma":0.00087650097,"teacher_disagreement_score":0.0022209848,"about_ca_system_score_codex":0.00019350411,"about_ca_system_score_gemma":0.0002608056,"threshold_uncertainty_score":0.0074299574},"labels":[],"label_agreement":null},{"id":"W2802825403","doi":"10.3390/en11051198","title":"Technology and Instrument Constituencies as Agents of Innovation: Sustainability Transitions and the Governance of Urban Transport","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Lee Kuan Yew School of Public Policy, National University of Singapore; National University of Singapore","keywords":"Conceptualization; Agency (philosophy); Corporate governance; Sustainability; Mobilities; Business; Perspective (graphical); Economic system; Sociology; Political science; Economics; Social science","score_opus":0.00927504335046702,"score_gpt":0.22518252735873734,"score_spread":0.2159074840082703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802825403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7831736,0.001805344,0.06316115,0.013765042,0.000103897684,0.00013010146,0.000076300494,0.00004743374,0.13773711],"genre_scores_gemma":[0.99741495,0.00018904354,0.0009880341,0.00009746312,0.00001267935,0.000023943136,0.000010975721,0.0000047086123,0.0012581375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99623305,0.002197163,0.00014821163,0.00041880936,0.00034467637,0.0006581599],"domain_scores_gemma":[0.9959259,0.0019530015,0.0008080238,0.00042805442,0.00036157243,0.0005235181],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0039221323,0.0001837646,0.00033047897,0.0014110726,0.0030639758,0.008341342,0.0005638046,0.001722213,0.0035205248],"category_scores_gemma":[0.005979049,0.00022768896,0.000552747,0.0012574131,0.01306078,0.007325611,0.0067579783,0.0014908272,0.00023150469],"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":[0.00008195439,0.00006666334,0.02569867,0.000066829925,0.000022892633,0.00020222369,0.012591034,0.0035040178,0.0007155985,0.94193655,0.0005656784,0.0145478435],"study_design_scores_gemma":[0.000052302326,0.00019695725,0.061839376,0.0004328312,0.00011925265,0.00031637299,0.054830175,0.015890418,0.0024170943,0.7782145,0.08560328,0.000087506334],"about_ca_topic_score_codex":0.0031208522,"about_ca_topic_score_gemma":0.0035967985,"teacher_disagreement_score":0.996936,"about_ca_system_score_codex":0.0035209134,"about_ca_system_score_gemma":0.002468772,"threshold_uncertainty_score":0.025546193},"labels":[],"label_agreement":null},{"id":"W2804835711","doi":"10.3390/en11051285","title":"Simulation of Ground Stress Field and Advanced Prediction of Gas Outburst Risks in the Non-Mining Area of Xinjing Mine, China","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"National Natural Science Foundation of China","keywords":"Coal; Coal mining; Lithology; Borehole; Mining engineering; Geology; Stress (linguistics); Stress field; Geotechnical engineering; Finite element method; Engineering; Petrology; Structural engineering","score_opus":0.02058277958679744,"score_gpt":0.2411477950612696,"score_spread":0.22056501547447216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804835711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653566,0.00002645108,0.0025691465,0.000041843123,0.000007323712,0.000011164538,0.000096056945,0.000051963638,0.00066041545],"genre_scores_gemma":[0.9989773,0.000025067608,0.0006245328,0.0000045223815,0.0000013851605,0.000009021009,0.000068741836,0.000003452443,0.00028596362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998859,0.00002051101,0.000008827063,0.000025805102,0.000018768134,0.000040228868],"domain_scores_gemma":[0.999703,0.00010811261,0.000046956444,0.000019909536,0.00005700721,0.000064983076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031911233,0.0005948047,0.00048140876,0.000635368,0.00041016,0.0004967412,0.0008724328,0.0010648677,0.000845819],"category_scores_gemma":[0.0005943754,0.00044921564,0.0007144347,0.00043644547,0.0004853073,0.0004806036,0.0004743987,0.00031110513,0.000068731926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048838963,0.000049637783,0.01657339,0.000016057516,0.000014440239,0.00019636992,0.000049584607,0.9804346,0.0009196755,0.00013341845,0.00006623128,0.0014978026],"study_design_scores_gemma":[0.000009758111,0.000024891799,0.004804715,0.0000022054437,0.000005332201,0.000009516761,0.00004257001,0.9948256,0.00017254293,0.0000706638,0.00002798292,0.0000041955873],"about_ca_topic_score_codex":0.058538217,"about_ca_topic_score_gemma":0.03228863,"teacher_disagreement_score":0.058538217,"about_ca_system_score_codex":0.0007343748,"about_ca_system_score_gemma":0.0009692268,"threshold_uncertainty_score":0.116395},"labels":[],"label_agreement":null},{"id":"W2805220224","doi":"10.3390/en11061419","title":"A Simple Fractal-Based Model for Soil-Water Characteristic Curves Incorporating Effects of Initial Void Ratios","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Void ratio; Fractal dimension; Fractal; Soil water; Expansive clay; Gravimetric analysis; Void (composites); Silt; Soil science; Geotechnical engineering; Loess; Mathematics; Materials science; Environmental science; Geology; Mathematical analysis; Chemistry","score_opus":0.010515558896893021,"score_gpt":0.24021251693363216,"score_spread":0.22969695803673915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805220224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031513702,0.00033914656,0.96481246,0.000067715424,0.000050065737,0.0000715577,0.00017160102,0.00036869207,0.0026051535],"genre_scores_gemma":[0.8651187,0.0009820131,0.12770355,0.00008106894,0.00006787505,0.0003206871,0.0003866895,0.00012783514,0.005211628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998061,0.000025016825,0.000012950343,0.000053557516,0.00007714431,0.000025269845],"domain_scores_gemma":[0.99970156,0.00011891441,0.000046123532,0.00004784686,0.000072723786,0.0000128168285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029183907,0.0007672766,0.0005599508,0.0011223471,0.00025097205,0.00048562014,0.0012659108,0.0010105266,0.0006877076],"category_scores_gemma":[0.001000698,0.00028014553,0.0008376301,0.00053317245,0.00043567832,0.0012755266,0.00031299336,0.00048877386,0.0003367221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024397144,0.00005702968,0.0013247683,0.0001264699,0.000022317263,0.00016738713,0.00010230609,0.9260197,0.026422609,0.017367566,0.00054733333,0.027818149],"study_design_scores_gemma":[0.0000012307958,0.000009174466,0.00020272798,0.000004156143,0.0000042493507,0.000049143524,0.0000047922754,0.99637645,0.0013688037,0.0013803433,0.0005897274,0.000009231946],"about_ca_topic_score_codex":0.0033067602,"about_ca_topic_score_gemma":0.0027602566,"teacher_disagreement_score":0.0033067602,"about_ca_system_score_codex":0.0007342789,"about_ca_system_score_gemma":0.00051921356,"threshold_uncertainty_score":0.0065749884},"labels":[],"label_agreement":null},{"id":"W2805633491","doi":"10.3390/en11061432","title":"Sealing Failure Analysis on V-Shaped Sealing Rings of an Inserted Sealing Tool Used for Multistage Fracturing Processes","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Petroleum engineering; Materials science; Hydraulic fracturing; Forensic engineering; Engineering; Composite material","score_opus":0.008773122215797815,"score_gpt":0.23252052395847259,"score_spread":0.22374740174267477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805633491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939959,0.00013765601,0.0054629715,0.000007242228,0.0000054359703,0.000007649645,0.000052084506,0.00005474398,0.00027631852],"genre_scores_gemma":[0.99854314,0.000044799304,0.0011908932,0.000001073912,6.262754e-7,0.0000029137384,0.000025192476,0.000004155785,0.0001872884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997658,0.000029049866,0.000019445955,0.000052223626,0.00009346449,0.000040047198],"domain_scores_gemma":[0.9992256,0.0002366887,0.00022135046,0.0001139446,0.00017468599,0.000027708775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046918914,0.00039641059,0.00038126626,0.00055476854,0.0002134239,0.00021805674,0.0005023173,0.000491585,0.00074229384],"category_scores_gemma":[0.00075107225,0.00020669465,0.0005725125,0.00026964775,0.0003654778,0.00030879639,0.00015816739,0.00014521864,0.00016415071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008754885,0.00010605598,0.014869445,0.0004567821,0.000059607068,0.0011682129,0.0004640072,0.12638593,0.82843256,0.00069617154,0.00028758403,0.026198065],"study_design_scores_gemma":[0.000023068469,0.0031305898,0.05499208,0.000037429076,0.00010693834,0.0005960738,0.00034450498,0.48058426,0.45858237,0.00021117511,0.001318377,0.00007313832],"about_ca_topic_score_codex":0.00083028356,"about_ca_topic_score_gemma":0.0006901701,"teacher_disagreement_score":0.00083028356,"about_ca_system_score_codex":0.00018421124,"about_ca_system_score_gemma":0.00015739679,"threshold_uncertainty_score":0.002483189},"labels":[],"label_agreement":null},{"id":"W2805742696","doi":"10.3390/en11061465","title":"Impact of Low Molecular Weight Acids on Oil Impregnated Paper Insulation Degradation","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formic acid; Degradation (telecommunications); Transformer oil; Polymerization; Transformer; Materials science; Chemistry; Chemical engineering; Composite material; Organic chemistry; Polymer; Electrical engineering; Engineering","score_opus":0.004922830752197761,"score_gpt":0.21838340718015847,"score_spread":0.2134605764279607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805742696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975424,0.0010299376,0.00087159156,0.000012192169,0.000020518062,0.0000113591295,0.000070384,0.0000149863745,0.00042662438],"genre_scores_gemma":[0.99696845,0.0007418235,0.0014558611,0.000019231062,0.000007467969,0.000008176779,0.00007165836,0.000010553704,0.0007168129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997135,0.000057728503,0.000026483978,0.00006873072,0.00008149794,0.000052092164],"domain_scores_gemma":[0.9994886,0.0001729608,0.0001283639,0.000035529807,0.00012283135,0.000051723866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024443757,0.00030657407,0.00026837894,0.00021252109,0.00015412056,0.00029176867,0.00013602739,0.00026900068,0.0007435055],"category_scores_gemma":[0.0006636287,0.00010767476,0.00021979236,0.00017414553,0.00017067038,0.00025475514,0.00017251908,0.00036799032,0.00017254129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035262952,0.00003968416,0.000771481,0.00008054991,0.000012732612,0.00008353815,0.00003577644,0.00022369961,0.9951873,0.000014803594,0.000013908017,0.0031839078],"study_design_scores_gemma":[0.0000018269684,0.00045629503,0.0018217647,0.0000044404883,0.000013846538,0.000041721036,0.000025600666,0.00022563666,0.9971022,0.000005353698,0.00029884704,0.0000025821575],"about_ca_topic_score_codex":0.0005279497,"about_ca_topic_score_gemma":0.0008205394,"teacher_disagreement_score":0.0007435055,"about_ca_system_score_codex":0.00014172588,"about_ca_system_score_gemma":0.00015717377,"threshold_uncertainty_score":0.0024873018},"labels":[],"label_agreement":null},{"id":"W2805860466","doi":"10.3390/en11061436","title":"An Adaptive Frequency Strategy for Variable Speed Wind Turbines: Application to High Wind Integration Into Power Systems","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"Ministerio de Educación, Cultura y Deporte","keywords":"Wind power; Control theory (sociology); Controller (irrigation); Power (physics); Emulation; AC power; Engineering; Rotational speed; Power optimizer; Wind speed; MATLAB; Automotive engineering; Computer science; Electrical engineering; Maximum power point tracking; Control (management); Voltage; Mechanical engineering; Inverter; Physics","score_opus":0.009257149655602152,"score_gpt":0.22900757062701507,"score_spread":0.21975042097141292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805860466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06383024,0.0005473932,0.9306826,0.000079831276,0.000099115605,0.000060998285,0.0000142866675,0.000430193,0.0042552995],"genre_scores_gemma":[0.9554958,0.00018491014,0.042686403,0.000031612744,0.00004132692,0.000036886428,0.000012249346,0.000018090346,0.0014926872],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992096,0.000017428594,0.000006736466,0.00001740534,0.000029777892,0.0000075634302],"domain_scores_gemma":[0.9998914,0.000044674634,0.00002023803,0.000010330937,0.000026938233,0.0000063693446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017032493,0.0003403046,0.00022296075,0.00017325446,0.00015838683,0.0002970978,0.000361004,0.00026145417,0.0010437946],"category_scores_gemma":[0.00031762657,0.00007746775,0.00014435343,0.00013647054,0.00016688478,0.00017891345,0.00016675562,0.00024582705,0.0001372219],"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":[0.0002501475,0.0001807601,0.001075765,0.0003425691,0.00008782231,0.00041452426,0.00019064562,0.40246037,0.09208751,0.0077261454,0.0012859366,0.4938979],"study_design_scores_gemma":[0.00004030323,0.00036281245,0.00067193544,0.00001598791,0.000023987059,0.000107425985,0.000015114618,0.9841892,0.009761181,0.0011104591,0.00368937,0.000012127634],"about_ca_topic_score_codex":0.00098427,"about_ca_topic_score_gemma":0.0013049397,"teacher_disagreement_score":0.0010437946,"about_ca_system_score_codex":0.00013433378,"about_ca_system_score_gemma":0.00012234644,"threshold_uncertainty_score":0.003491819},"labels":[],"label_agreement":null},{"id":"W2805966418","doi":"10.3390/en11061459","title":"Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Project of Shandong Province Higher Educational Science and Technology Program; Shandong Jiaotong University; National Natural Science Foundation of China","keywords":"Islanding; Microgrid; Control theory (sociology); Robustness (evolution); Sliding mode control; Grid; Lyapunov stability; Lyapunov function; Adaptive control; Mode (computer interface); Computer science; Voltage; Engineering; Distributed generation; Control (management); Mathematics; Nonlinear system; Physics","score_opus":0.0068934018332891004,"score_gpt":0.20597784464312224,"score_spread":0.19908444280983315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805966418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07848986,0.00035471976,0.91614753,0.000092263566,0.000056997236,0.00003816584,0.000020590554,0.00042592315,0.0043738573],"genre_scores_gemma":[0.990549,0.000088525296,0.008503166,0.000014581683,0.0000109860885,0.000026563997,0.000019048486,0.000006529503,0.000781647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.000031776843,0.000012701341,0.0000443142,0.00005465168,0.00001964723],"domain_scores_gemma":[0.9998735,0.000034580145,0.000027441689,0.000018506364,0.00003815064,0.000007777421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029807666,0.0005255345,0.00027978251,0.00023445438,0.00024240057,0.00033702652,0.00048658365,0.0002283357,0.0009890076],"category_scores_gemma":[0.0003895086,0.00013599457,0.0003961981,0.00019798816,0.00027994075,0.00035889586,0.0004081425,0.0003883809,0.00008743593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015424629,0.00008224875,0.0012908541,0.00018736295,0.00007053314,0.0001709221,0.0002487497,0.81887496,0.03247801,0.011289012,0.0010545376,0.13409862],"study_design_scores_gemma":[0.000008380218,0.00008243598,0.00033541836,0.0000035173302,0.0000084114445,0.000013235168,0.000008967199,0.9966066,0.0016195498,0.00084614084,0.00046245835,0.000004893614],"about_ca_topic_score_codex":0.003748473,"about_ca_topic_score_gemma":0.0029987795,"teacher_disagreement_score":0.003748473,"about_ca_system_score_codex":0.0002897926,"about_ca_system_score_gemma":0.00036642063,"threshold_uncertainty_score":0.0074533224},"labels":[],"label_agreement":null},{"id":"W2806116429","doi":"10.3390/en11061490","title":"Comparative Analysis of Lithium-Ion Battery Resistance Estimation Techniques for Battery Management Systems","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nuvation (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Battery pack; Internal resistance; Lithium-ion battery; Extended Kalman filter; Computer science; Kalman filter; Identification (biology); State of health; Engineering; Artificial intelligence; Power (physics)","score_opus":0.022871843837011154,"score_gpt":0.30411467750606386,"score_spread":0.2812428336690527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806116429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42601007,0.0053749955,0.55432904,0.00028034844,0.00011310025,0.00026070265,0.00015891326,0.0023905593,0.011082215],"genre_scores_gemma":[0.954964,0.00076104375,0.042188093,0.000031202104,0.00002128643,0.00005885673,0.00015228584,0.000053831845,0.0017694788],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993175,0.00014879878,0.000067230045,0.00009852646,0.00031546873,0.00005249956],"domain_scores_gemma":[0.99677086,0.0018744392,0.0002348353,0.00017285625,0.0009184429,0.00002862681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011018588,0.00068861723,0.0006088008,0.0013496599,0.00032551217,0.0007227841,0.00055070716,0.00059303996,0.0019117484],"category_scores_gemma":[0.0057844925,0.00017321036,0.0004959688,0.0005982213,0.00016335564,0.0010919559,0.00040957547,0.00028934426,0.00045657068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010722004,0.0002048523,0.00813292,0.00082491105,0.00019133526,0.00014477619,0.00029033478,0.2596377,0.028391335,0.0021775877,0.0010184869,0.6979135],"study_design_scores_gemma":[0.000030251875,0.0008231854,0.01242411,0.000051519935,0.00012885321,0.00018953133,0.00014609647,0.9530864,0.029645791,0.00069070054,0.002742979,0.00004049322],"about_ca_topic_score_codex":0.0023406302,"about_ca_topic_score_gemma":0.0018932933,"teacher_disagreement_score":0.0023406302,"about_ca_system_score_codex":0.00047602417,"about_ca_system_score_gemma":0.00037001056,"threshold_uncertainty_score":0.006395459},"labels":[],"label_agreement":null},{"id":"W2807889224","doi":"10.3390/en11061553","title":"Thermal Conductance along Hexagonal Boron Nitride and Graphene Grain Boundaries","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Graphene research and applications","field":"Materials 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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Graphene; Grain boundary; Thermal conductivity; Materials science; Boron nitride; Conductance; Condensed matter physics; Thermal; Grain size; Hexagonal boron nitride; Interfacial thermal resistance; Thermal resistance; Nanotechnology; Composite material; Thermodynamics; Microstructure; Physics","score_opus":0.016281403452107726,"score_gpt":0.2710139982034115,"score_spread":0.2547325947513038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807889224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993309,0.0001115167,0.0021658484,0.00008853244,0.0000171297,0.000010809502,0.00019196021,0.000032228985,0.0040728766],"genre_scores_gemma":[0.9978059,0.00009569849,0.0013170614,0.000017168597,0.0000026570342,0.000021816111,0.0001571205,0.0000152071825,0.00056737504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989045,0.000013551892,0.0000032052008,0.00001998705,0.000028164066,0.00004469931],"domain_scores_gemma":[0.99984765,0.000059911803,0.000023668259,0.00001591364,0.000030115865,0.000022668804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015183874,0.00038271747,0.0005013797,0.000352205,0.0006416552,0.00048340604,0.0006203505,0.00065848965,0.0021580555],"category_scores_gemma":[0.0004923792,0.00039239269,0.0005386855,0.00038473782,0.00072339113,0.00084327935,0.00029128202,0.00047275802,0.00013362104],"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":[0.00013339087,0.000066071574,0.0025211328,0.00007866475,0.000042696865,0.00014227688,0.000068565256,0.96700925,0.023664108,0.0048534116,0.00022013002,0.0012003061],"study_design_scores_gemma":[0.000038588627,0.00006779101,0.001186115,0.000010827379,0.000013715836,0.000014645266,0.000042018233,0.9907968,0.006592888,0.0009638468,0.00025584592,0.00001687635],"about_ca_topic_score_codex":0.015571517,"about_ca_topic_score_gemma":0.011349766,"teacher_disagreement_score":0.015571517,"about_ca_system_score_codex":0.0012635684,"about_ca_system_score_gemma":0.001051374,"threshold_uncertainty_score":0.030961752},"labels":[],"label_agreement":null},{"id":"W2809317444","doi":"10.3390/en11071636","title":"Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":902,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"United Arab Emirates University","keywords":"Computer science; Machine learning; Artificial intelligence; Hyperparameter; Mean absolute percentage error; Mean squared error; Feature selection; Artificial neural network; Time series; Scheduling (production processes); Feature engineering; Feature (linguistics); Genetic algorithm; Model selection; Deep learning; Algorithm; Mathematical optimization; Mathematics; Statistics","score_opus":0.029822445641775386,"score_gpt":0.21862465280303991,"score_spread":0.18880220716126453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809317444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16740157,0.0024900916,0.82203335,0.0008966895,0.00015130467,0.00011451373,0.00020604767,0.0013901303,0.0053161657],"genre_scores_gemma":[0.9078747,0.0005978809,0.08864369,0.00014159306,0.000041897518,0.00014989146,0.00031559035,0.00006031695,0.0021744047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998349,0.000047539652,0.000013080302,0.000036729176,0.000035849655,0.000031867225],"domain_scores_gemma":[0.9995926,0.00024739862,0.000034065706,0.000013812048,0.00009806999,0.000014020779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006866699,0.000830807,0.00075290067,0.00062006345,0.00032380424,0.0007099765,0.00079558435,0.0010349099,0.0016790391],"category_scores_gemma":[0.0014286375,0.0003161233,0.0007182381,0.0006577862,0.00028533206,0.0008235764,0.00034967504,0.00093825907,0.00023642168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007754432,0.000062372404,0.00079676264,0.000049951675,0.000046328387,0.000057412657,0.000028090586,0.93140566,0.0009626583,0.0011230846,0.00069061,0.064699456],"study_design_scores_gemma":[0.0000027214746,0.000011785953,0.000072697796,0.0000027685792,0.00000411786,0.0000038376747,0.0000028492427,0.9993919,0.0001654939,0.0002862493,0.00005421512,0.0000013412971],"about_ca_topic_score_codex":0.014253753,"about_ca_topic_score_gemma":0.01031377,"teacher_disagreement_score":0.014253753,"about_ca_system_score_codex":0.0008707681,"about_ca_system_score_gemma":0.0012152976,"threshold_uncertainty_score":0.028341591},"labels":[],"label_agreement":null},{"id":"W2809347052","doi":"10.3390/en11061607","title":"The Effect of a Vertical Electric Field on the Surface Flashover Characteristics of a Bushing Model","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","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":"Université du Québec à Chicoutimi","funders":"National Key Research and Development Program of China","keywords":"Bushing; Arc flash; Electric field; Voltage; Materials science; Composite material; Dielectric; Leakage (economics); Electrical engineering; Forensic engineering; Mechanics; Engineering; Physics","score_opus":0.008696356598409444,"score_gpt":0.23586174649996083,"score_spread":0.22716538990155138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809347052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589705,0.000058738584,0.0035450177,0.000010771802,0.000005408716,0.0000034547877,0.000048022215,0.000036430738,0.00039510796],"genre_scores_gemma":[0.9993832,0.000030747382,0.0003820333,0.0000016843251,5.994219e-7,0.0000012949662,0.00003057454,0.0000031970462,0.00016671297],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999343,0.0000052282544,0.000003745212,0.000015101772,0.000024689047,0.00001700748],"domain_scores_gemma":[0.9997582,0.00008322915,0.000032673546,0.000037448794,0.00006610669,0.000022300299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012535951,0.00020634121,0.00016630243,0.00017981441,0.00011542134,0.0001898041,0.00020328096,0.00023546044,0.0011586463],"category_scores_gemma":[0.0004908295,0.00011296411,0.0002058523,0.0001735132,0.00020730829,0.00023954545,0.00014225404,0.00017592832,0.000091018774],"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":[0.0005515379,0.00006955645,0.0056860377,0.00009747615,0.000031238942,0.00029541552,0.00013204708,0.040967483,0.93729943,0.00036232884,0.00016096717,0.0143464785],"study_design_scores_gemma":[0.000036857364,0.0018916123,0.03545784,0.000022471464,0.000097104545,0.00028011942,0.00026443272,0.2462544,0.7140308,0.00034493496,0.0012840441,0.000035395722],"about_ca_topic_score_codex":0.0012990179,"about_ca_topic_score_gemma":0.0012641232,"teacher_disagreement_score":0.0012990179,"about_ca_system_score_codex":0.00016356683,"about_ca_system_score_gemma":0.00009664591,"threshold_uncertainty_score":0.00387609},"labels":[],"label_agreement":null},{"id":"W2811255638","doi":"10.3390/en11071714","title":"Integrated Full-Frequency Impedance Modeling and Stability Analysis of the Train-Network Power Supply System for High-Speed Railways","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Beijing Jiaotong University","keywords":"Electrical impedance; Equivalent impedance transforms; Admittance; Control theory (sociology); Electric power system; Traction (geology); Harmonic; Engineering; Grid; Network model; Power (physics); Computer science; Electronic engineering; Electrical engineering; Acoustics; Physics; Control (management); Mathematics","score_opus":0.007080572525055117,"score_gpt":0.18394020973285843,"score_spread":0.17685963720780332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811255638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07229036,0.0001920687,0.9150787,0.000120563294,0.000029455026,0.000034866338,0.00013567686,0.0004344513,0.011683803],"genre_scores_gemma":[0.9797789,0.00022658832,0.014514472,0.000018184333,0.000014433803,0.000045030483,0.0001289324,0.00004918881,0.005224258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998983,0.00003314629,0.000004633091,0.000016398591,0.00003728622,0.000010163336],"domain_scores_gemma":[0.99994063,0.000013655976,0.0000120917875,0.000009590574,0.000020091331,0.0000038737303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012710811,0.00047171387,0.0003289303,0.0002365527,0.00025995856,0.00044788673,0.0004430757,0.0004644782,0.0023126572],"category_scores_gemma":[0.00027105666,0.00015499478,0.0004896293,0.00024807063,0.00023362962,0.0010355746,0.00035582038,0.00031102952,0.00045519613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035277506,0.000018552853,0.0006886421,0.000039768638,0.000014584859,0.000107730215,0.000059378526,0.9736441,0.008256942,0.00659959,0.00039078834,0.0101446975],"study_design_scores_gemma":[0.0000022665383,0.000011968247,0.00021520228,0.0000018463836,0.000002630018,0.000014185115,0.000010230397,0.99794453,0.0003676258,0.0009948123,0.0004325061,0.0000022359745],"about_ca_topic_score_codex":0.0050756237,"about_ca_topic_score_gemma":0.0032894302,"teacher_disagreement_score":0.0050756237,"about_ca_system_score_codex":0.0004177795,"about_ca_system_score_gemma":0.00039838106,"threshold_uncertainty_score":0.010092199},"labels":[],"label_agreement":null},{"id":"W2885134491","doi":"10.3390/en11081967","title":"Dry Fuel Jet Half-Angle Measurements and Correlation for an Entrained Flow Gasifier","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Ottawa","funders":"Government of Canada","keywords":"Jet (fluid); Mechanics; Computational fluid dynamics; Wood gas generator; Range (aeronautics); Materials science; Flow (mathematics); Jet fuel; Environmental science; Thermodynamics; Chemistry; Physics; Waste management; Engineering; Composite material; Coal","score_opus":0.025854114032282455,"score_gpt":0.23284256755425947,"score_spread":0.206988453521977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885134491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97276556,0.00016141086,0.025625953,0.000018553268,0.000008156088,0.000027163738,0.00027180495,0.00027001862,0.00085136073],"genre_scores_gemma":[0.98983896,0.00013361032,0.0094724,0.0000054219786,0.0000022804088,0.000011741949,0.0002756904,0.000027479779,0.0002324621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997899,0.00002518105,0.000013252863,0.00005586154,0.00009674236,0.00001901701],"domain_scores_gemma":[0.9996051,0.00017845699,0.00006507941,0.000055092667,0.00007709916,0.000019234429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053716294,0.00037523752,0.00030683665,0.0006327641,0.0002142094,0.000533145,0.00042189713,0.00043479688,0.00076061155],"category_scores_gemma":[0.0009628609,0.00032760523,0.00038177238,0.00063046813,0.000226715,0.000533007,0.00029855987,0.0005799098,0.00021858817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014527339,0.00039616518,0.09236568,0.0003273599,0.00005559055,0.000491301,0.0005409424,0.310195,0.52690345,0.0012869417,0.00045014094,0.065534696],"study_design_scores_gemma":[0.00003240242,0.00029366472,0.030306334,0.000013100779,0.000013896134,0.00007662542,0.00009298987,0.7409524,0.22737624,0.00015991478,0.0006388355,0.000043631757],"about_ca_topic_score_codex":0.0034117298,"about_ca_topic_score_gemma":0.0031347284,"teacher_disagreement_score":0.0034117298,"about_ca_system_score_codex":0.00032745255,"about_ca_system_score_gemma":0.0002905196,"threshold_uncertainty_score":0.0067837834},"labels":[],"label_agreement":null},{"id":"W2885357312","doi":"10.3390/en11082145","title":"Flow Simulation of Artificially Induced Microfractures Using Digital Rock and Lattice Boltzmann Methods","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Fundamental Research Funds for the Central Universities; National Science and Technology Major Project; Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China","keywords":"Geology; Fractal dimension; Lattice Boltzmann methods; Permeability (electromagnetism); Fractal; Dimensionless quantity; Porosity; Mineralogy; Petrology; Mechanics; Geotechnical engineering; Mathematics; Chemistry; Physics","score_opus":0.04113996062190317,"score_gpt":0.33463983667506464,"score_spread":0.29349987605316147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885357312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64394665,0.0004545919,0.34102452,0.0004952853,0.00014125172,0.00015886022,0.00089843676,0.0009414756,0.011938975],"genre_scores_gemma":[0.9403645,0.00018251529,0.056501772,0.000051418636,0.000015630227,0.00018445658,0.00040351428,0.00005807057,0.002238201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998317,0.000033496934,0.000013805183,0.000028586484,0.000053200405,0.00003920878],"domain_scores_gemma":[0.99954754,0.00024389566,0.000056408917,0.000026720398,0.000081198166,0.000044364202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030800138,0.00040711218,0.00074668374,0.0007079971,0.0005212633,0.00074448535,0.000991026,0.001255207,0.0015441374],"category_scores_gemma":[0.00094457984,0.00041001357,0.0007993665,0.0006681873,0.00072596257,0.000632305,0.00061627926,0.0006198032,0.00016518935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015600997,0.000021067264,0.0010071318,0.000019353456,0.000008411927,0.00003950414,0.000021822372,0.9952845,0.00096434756,0.0014048916,0.000064613916,0.001148832],"study_design_scores_gemma":[0.000002970324,0.0000018516989,0.0000710272,9.4456993e-7,8.0501314e-7,0.0000025830186,0.000003486505,0.99962974,0.000097199765,0.00014222594,0.000045354387,0.000001833494],"about_ca_topic_score_codex":0.03037109,"about_ca_topic_score_gemma":0.011423971,"teacher_disagreement_score":0.03037109,"about_ca_system_score_codex":0.00096095825,"about_ca_system_score_gemma":0.0013860164,"threshold_uncertainty_score":0.060388625},"labels":[],"label_agreement":null},{"id":"W2885449585","doi":"10.3390/en11082108","title":"A Stochastic Inexact Robust Model for Regional Energy System Management and Emission Reduction Potential Analysis—A Case Study of Zibo City, China","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Stochastic programming; Robust optimization; Mathematical optimization; Computer science; Electricity generation; Electricity; Reduction (mathematics); Electric power; Electric power system; Power (physics); Operations research; Engineering; Mathematics","score_opus":0.016110668153099954,"score_gpt":0.20903958706139497,"score_spread":0.19292891890829503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885449585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4373129,0.000530242,0.5498365,0.0007605952,0.000051739906,0.00012171009,0.000549068,0.00027397778,0.010563246],"genre_scores_gemma":[0.9900399,0.00013251543,0.007730494,0.000019343215,0.000007089013,0.000058656005,0.000108773376,0.000011001877,0.0018922442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966264,0.00011083049,0.000015029963,0.00007724748,0.000065322056,0.00006891428],"domain_scores_gemma":[0.999699,0.00014492527,0.00005654577,0.000015542673,0.0000647017,0.000019322319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006922002,0.00081380893,0.00072780316,0.00039589827,0.00045938426,0.0010287964,0.0009120944,0.0010402849,0.0013107324],"category_scores_gemma":[0.0008914177,0.0004607214,0.0008099044,0.0004795774,0.0006211874,0.00057930825,0.00068446127,0.0007053834,0.00007790282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010039374,0.000004967401,0.00030221557,0.000010037497,0.0000075288945,0.000060626353,0.000007205598,0.99765885,0.00016304708,0.0009522236,0.000056168683,0.00076701405],"study_design_scores_gemma":[0.00000397166,0.0000076290535,0.00018126295,8.633286e-7,0.000004310682,0.000004017607,0.0000063497096,0.99939907,0.000062698855,0.00025056806,0.00007702095,0.000002198536],"about_ca_topic_score_codex":0.056948617,"about_ca_topic_score_gemma":0.030958422,"teacher_disagreement_score":0.056948617,"about_ca_system_score_codex":0.0014563751,"about_ca_system_score_gemma":0.0015703533,"threshold_uncertainty_score":0.11323422},"labels":[],"label_agreement":null},{"id":"W2886075502","doi":"10.3390/en11082048","title":"Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Peaking power plant; Sizing; Payback period; Battery (electricity); Energy storage; Automotive engineering; Load profile; Computer science; Peak demand; Reliability engineering; Power (physics); Electricity; Engineering; Electrical engineering; Distributed generation; Production (economics); Renewable energy; Economics","score_opus":0.033738091209284546,"score_gpt":0.27236835488245353,"score_spread":0.23863026367316897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886075502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2041635,0.0011248445,0.77820885,0.00029171878,0.000055508237,0.00022553011,0.00022326683,0.000608985,0.015097783],"genre_scores_gemma":[0.97159475,0.00021807052,0.026594909,0.000024661693,0.000008554522,0.000045505763,0.00006468007,0.000037985177,0.0014108354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982446,0.000044008397,0.0000113930455,0.000028465493,0.000056454042,0.000035113735],"domain_scores_gemma":[0.9998616,0.000056368015,0.000026171496,0.000010962927,0.000035987152,0.000008799103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003800459,0.0006496691,0.00068513345,0.00042234882,0.0002965494,0.00095313886,0.00048235772,0.0003532008,0.0023403594],"category_scores_gemma":[0.00059593475,0.00035432653,0.0004369729,0.0004830035,0.00025932683,0.0006545971,0.00028694683,0.00043833276,0.0002853432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000127119,0.00005669201,0.00059392327,0.00015704632,0.000022635159,0.00005962751,0.00005508178,0.9343993,0.014065398,0.0037565753,0.00083355664,0.045873065],"study_design_scores_gemma":[0.000011252085,0.00008995588,0.0004972682,0.000010708805,0.000019394802,0.000026578102,0.000042942505,0.9921389,0.003972756,0.0024733008,0.0007097955,0.000007175749],"about_ca_topic_score_codex":0.0034569814,"about_ca_topic_score_gemma":0.006708723,"teacher_disagreement_score":0.0034569814,"about_ca_system_score_codex":0.00083432515,"about_ca_system_score_gemma":0.0011334335,"threshold_uncertainty_score":0.007829249},"labels":[],"label_agreement":null},{"id":"W2886437980","doi":"10.3390/en11082022","title":"Hydrothermal Carbonization of Fruit Wastes: A Promising Technique for Generating Hydrochar","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Hydrothermal carbonization; Pomace; Carbonization; Raw material; Heat of combustion; Biomass (ecology); Pulp and paper industry; Thermogravimetric analysis; Carbon fibers; Chemistry; Porosity; Pyrolysis; Valorisation; Waste management; Food science; Materials science; Organic chemistry; Combustion; Adsorption; Agronomy; Composite material","score_opus":0.008058845475908202,"score_gpt":0.2108157129657773,"score_spread":0.2027568674898691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886437980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9086348,0.019144395,0.06186886,0.0003355814,0.00014482021,0.00013870874,0.00067160977,0.00027869284,0.008782471],"genre_scores_gemma":[0.9782698,0.0045909313,0.013897791,0.000077162425,0.0000363417,0.00003262935,0.0002695335,0.000039284405,0.0027865064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999156,0.000009989999,0.0000048023867,0.000020440324,0.000035295827,0.000013874965],"domain_scores_gemma":[0.99995255,0.000010138416,0.000012256259,0.0000071166533,0.000009958273,0.000007896755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010212304,0.0003134637,0.00021633376,0.00036184315,0.0001551005,0.00023727099,0.00020524139,0.000267617,0.0009782284],"category_scores_gemma":[0.000113506045,0.00012586186,0.0002737509,0.00031790862,0.00018546733,0.0003607912,0.00018238174,0.0004255727,0.00030888297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003329075,0.000021731566,0.0003300084,0.0002817056,0.000016795304,0.00014201635,0.000023504532,0.00031015582,0.9871301,0.00024055375,0.00009682633,0.0113732],"study_design_scores_gemma":[0.000006945603,0.00011762238,0.0021355846,0.000012458951,0.000014762208,0.00030666092,0.000021716203,0.0009833915,0.99143255,0.00015162413,0.0048070317,0.000009565619],"about_ca_topic_score_codex":0.00026678573,"about_ca_topic_score_gemma":0.00096775277,"teacher_disagreement_score":0.0009782284,"about_ca_system_score_codex":0.0001709251,"about_ca_system_score_gemma":0.00013185941,"threshold_uncertainty_score":0.0032725334},"labels":[],"label_agreement":null},{"id":"W2887753853","doi":"10.3390/en11082028","title":"Temperature and Velocity Effects on Mass and Momentum Transport in Spacer-Filled Channels for Reverse Electrodialysis: A Numerical Study","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Norges Forskningsråd; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Pressure drop; Concentration polarization; Mass transfer; Mechanics; Materials science; Reynolds number; Heat transfer; Drop (telecommunication); Turbulence; Computational fluid dynamics; Electrodialysis; Chemistry; Membrane; Mechanical engineering; Physics; Engineering","score_opus":0.006306179290137017,"score_gpt":0.23446575488870683,"score_spread":0.2281595755985698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887753853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93303365,0.0008301065,0.052304927,0.00049960474,0.00008664484,0.00011220174,0.00035295862,0.00017767196,0.012602272],"genre_scores_gemma":[0.9819369,0.00034961998,0.015110154,0.000040468825,0.000010952724,0.00008844778,0.000092106224,0.000023110508,0.0023481064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990463,0.000024198425,0.0000060103007,0.000014636691,0.000023478806,0.000027079974],"domain_scores_gemma":[0.9993012,0.0004446701,0.00010119225,0.00003538141,0.00008720814,0.00003036005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039053537,0.00038046495,0.00052969577,0.0004294962,0.0005698791,0.0008087218,0.0007066564,0.0015623218,0.0017410129],"category_scores_gemma":[0.0012853686,0.0002532353,0.0005652695,0.00050960004,0.00060886523,0.0005209327,0.00043471318,0.00050570816,0.00016123925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000986255,0.00014013526,0.00252958,0.00011342809,0.000016751157,0.00023516882,0.00007338562,0.9766064,0.013077712,0.0036348184,0.0002824069,0.0031915572],"study_design_scores_gemma":[0.000010103605,0.000025806932,0.00020128583,0.0000053599288,0.00000366187,0.0000128638585,0.0000127442545,0.9982893,0.0011619373,0.00012270806,0.00014950363,0.000004706928],"about_ca_topic_score_codex":0.010079624,"about_ca_topic_score_gemma":0.005186398,"teacher_disagreement_score":0.010079624,"about_ca_system_score_codex":0.00086470874,"about_ca_system_score_gemma":0.0007966966,"threshold_uncertainty_score":0.020041883},"labels":[],"label_agreement":null},{"id":"W2888675469","doi":"10.3390/en11092198","title":"Comparing the Biomass Yield and Biogas Potential of Phragmites australis with Miscanthus x giganteus and Panicum virgatum Grown in Canada","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":25,"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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Agricultural Adaptation Council; University of Guelph","keywords":"Panicum virgatum; Biogas; Phragmites; Miscanthus; Bioenergy; Panicum; Biomass (ecology); Agronomy; Perennial plant; Environmental science; Raw material; Energy crop; Biofuel; Biology; Wetland; Ecology","score_opus":0.013744575823518705,"score_gpt":0.17129296838744115,"score_spread":0.15754839256392245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888675469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996383,0.000036077996,0.000027457325,0.0000032568475,3.391112e-7,0.0000026086134,0.00007829461,0.0000014466626,0.00021220747],"genre_scores_gemma":[0.99851483,0.000109351335,0.00024950717,0.000010316792,4.7240584e-7,0.0000051423226,0.00043363962,0.0000022675786,0.00067443814],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998981,0.000005235239,0.0000068226364,0.000026620532,0.000030260933,0.000032957476],"domain_scores_gemma":[0.99978906,0.000023791654,0.000025748277,0.000007724454,0.00007740106,0.00007634574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014524261,0.0003027447,0.0001814309,0.00050989084,0.00048855145,0.00037752828,0.00031536986,0.0001296233,0.00032758244],"category_scores_gemma":[0.00018653783,0.00015317589,0.00023602483,0.0005519197,0.000212453,0.00024925132,0.00022596269,0.00023670813,0.00007677695],"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":[0.00076468533,0.00018139865,0.19538714,0.00010551494,0.00008777162,0.00036271737,0.0007016572,0.0009111051,0.7893344,0.000103312406,0.000118174416,0.011942048],"study_design_scores_gemma":[0.0000071617246,0.0002598946,0.9851541,0.0000035269456,0.000020736503,0.00007290073,0.00063191465,0.00081030524,0.012592052,0.000014626174,0.00042493697,0.000007866545],"about_ca_topic_score_codex":0.6831056,"about_ca_topic_score_gemma":0.8385926,"teacher_disagreement_score":0.3168944,"about_ca_system_score_codex":0.003504446,"about_ca_system_score_gemma":0.0013382388,"threshold_uncertainty_score":0.6375213},"labels":[],"label_agreement":null},{"id":"W2888982173","doi":"10.3390/en11092286","title":"Hydrothermal Carbonization of Biosolids from Waste Water Treatment Plant","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health PEI; University of Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrothermal carbonization; Biosolids; Carbonization; Heat of combustion; Nitrogen; Carbon fibers; Sewage sludge; Phosphorus; Moisture; Hydrothermal circulation; Wastewater; Pulp and paper industry; Sewage treatment; Dewatering; Chemistry; Environmental chemistry; Waste management; Environmental science; Materials science; Chemical engineering; Environmental engineering; Combustion; Adsorption; Organic chemistry","score_opus":0.0061133359808981345,"score_gpt":0.17710509417255926,"score_spread":0.17099175819166113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888982173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966372,0.0003719722,0.0014311841,0.000021737962,0.0000144312235,0.000024603838,0.00021223522,0.000022067656,0.0012644533],"genre_scores_gemma":[0.9961033,0.00037622917,0.0017403945,0.000013744864,0.0000057047837,0.000018313829,0.00032638918,0.000015319736,0.001400766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991643,0.000009004002,0.0000058949645,0.000015822827,0.000032873075,0.000019966614],"domain_scores_gemma":[0.9999505,0.0000105565205,0.000012397881,0.000004181606,0.000012738172,0.000009522534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007118647,0.00028833086,0.0001476739,0.00023657276,0.00016852497,0.00017322986,0.00015042577,0.00017707492,0.00092647446],"category_scores_gemma":[0.00013932672,0.00009104248,0.00022286363,0.00026345826,0.00013153028,0.00018934712,0.00012519812,0.0003120551,0.00015549824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004688686,0.000010756789,0.00011419816,0.000045274777,0.000003906916,0.000051986404,0.000014695863,0.00015999371,0.99802446,0.00003382181,0.00001644859,0.0014774826],"study_design_scores_gemma":[0.0000040490204,0.00007261183,0.0019038059,0.000004666656,0.0000045656707,0.000036247846,0.000017619468,0.00045396836,0.9969496,0.000021167858,0.00052828854,0.000003433273],"about_ca_topic_score_codex":0.0016290195,"about_ca_topic_score_gemma":0.004529208,"teacher_disagreement_score":0.0016290195,"about_ca_system_score_codex":0.0002112008,"about_ca_system_score_gemma":0.00023914609,"threshold_uncertainty_score":0.0032390356},"labels":[],"label_agreement":null},{"id":"W2889217895","doi":"10.3390/en11092238","title":"Adaptive Sliding Mode Speed Control for Wind Energy Experimental System","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control 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":"Saint Mary's University","funders":"","keywords":"Control theory (sociology); Sliding mode control; Robustness (evolution); Electronic speed control; Wind speed; Parametric statistics; Variable speed wind turbine; Estimator; Lyapunov stability; Lyapunov function; Turbine; Variable structure control; Wind power; Torque; Robust control; Computer science; Engineering; Control system; Permanent magnet synchronous generator; Mathematics; Voltage; Control (management); Physics; Nonlinear system","score_opus":0.010643840999747193,"score_gpt":0.21500737719094815,"score_spread":0.20436353619120096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889217895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078148946,0.00047714481,0.9158876,0.00012698314,0.00016479293,0.0001136263,0.000038347946,0.0008160865,0.004226602],"genre_scores_gemma":[0.9653805,0.0001408005,0.032900754,0.000025474375,0.00002361659,0.000111374306,0.000045593162,0.0000141750015,0.0013577669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975187,0.000048181988,0.000023631601,0.0000591403,0.00009911951,0.000018080656],"domain_scores_gemma":[0.99978036,0.00006567307,0.00003520547,0.00003005597,0.00007970851,0.000009058342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004274933,0.00038922057,0.0003088385,0.00022839014,0.00029075233,0.0004932802,0.00043739282,0.00038306642,0.0012209906],"category_scores_gemma":[0.0006725403,0.0001343074,0.00023001188,0.00018378632,0.0003247586,0.0003700312,0.00028978128,0.00039438685,0.00015197476],"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":[0.0008170521,0.00023767258,0.0031219015,0.0007712682,0.00010511382,0.00036661536,0.0005326459,0.42932725,0.18009217,0.016471272,0.002460371,0.36569667],"study_design_scores_gemma":[0.000051300703,0.0003493195,0.0011386754,0.00001401979,0.00001527378,0.00005310562,0.000023624658,0.9799764,0.014606498,0.0008755111,0.0028819877,0.000014198762],"about_ca_topic_score_codex":0.0014528331,"about_ca_topic_score_gemma":0.0012356226,"teacher_disagreement_score":0.0014528331,"about_ca_system_score_codex":0.00022435776,"about_ca_system_score_gemma":0.00029607507,"threshold_uncertainty_score":0.0040846467},"labels":[],"label_agreement":null},{"id":"W2889617750","doi":"10.3390/en11092381","title":"Optimal Scheduling of Microgrid with Distributed Power Based on Water Cycle Algorithm","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Jiangxi Provincial Department of Science and Technology; Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Microgrid; Mathematical optimization; Computer science; Operating cost; Distributed generation; Renewable energy; Convergence (economics); Scheduling (production processes); Algorithm; Engineering; Mathematics","score_opus":0.002187710904616886,"score_gpt":0.16708145732720786,"score_spread":0.16489374642259097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889617750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09326669,0.00044544006,0.89872044,0.00021374742,0.00007213477,0.00012446215,0.00008360282,0.000410067,0.0066635073],"genre_scores_gemma":[0.9002696,0.00022123435,0.09667289,0.000042723725,0.000020680796,0.00016040484,0.00012097201,0.000051095336,0.0024403145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997768,0.00006274493,0.000011707666,0.00005026598,0.000050571496,0.000048000187],"domain_scores_gemma":[0.99972254,0.00012562046,0.000038130765,0.000015246568,0.000071160655,0.000027330027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048799178,0.0007462402,0.0010314343,0.0006094281,0.0006033746,0.00080742285,0.0007583509,0.0005267085,0.0018672646],"category_scores_gemma":[0.0010176847,0.0003899526,0.0004442925,0.0008039905,0.00046268516,0.00069518475,0.00053638424,0.00046150314,0.00014576038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000380701,0.00002082984,0.00027274148,0.000026810709,0.000013016373,0.000020322419,0.000022935323,0.981292,0.00056356355,0.0026430753,0.00037409246,0.0147126],"study_design_scores_gemma":[0.000008465813,0.000012553601,0.000035698704,0.0000011085292,0.0000022256438,0.000002275019,0.0000042899505,0.9989367,0.000117656804,0.0007454582,0.0001321624,0.000001448004],"about_ca_topic_score_codex":0.014420095,"about_ca_topic_score_gemma":0.010034751,"teacher_disagreement_score":0.014420095,"about_ca_system_score_codex":0.000928522,"about_ca_system_score_gemma":0.001770851,"threshold_uncertainty_score":0.028672338},"labels":[],"label_agreement":null},{"id":"W2889739509","doi":"10.3390/en11102494","title":"Energy Production Systems","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Production (economics); Sustainability; Energy (signal processing); Environmental economics; Computer science; Environmental science; Natural resource economics; Economics; Mathematics; Microeconomics","score_opus":0.005075370978120538,"score_gpt":0.1738312345753168,"score_spread":0.16875586359719627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889739509","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":[0.014236217,0.022760803,0.25618675,0.014701597,0.021975884,0.00025191857,0.0023162887,0.0020606667,0.66550994],"genre_scores_gemma":[0.298118,0.030732935,0.0674565,0.0027203937,0.00862604,0.00030856088,0.0055041322,0.0012411763,0.5852923],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996296,0.00008114585,0.000017217175,0.00009115689,0.0001456369,0.000035283545],"domain_scores_gemma":[0.999796,0.000053944863,0.000016462283,0.000049249815,0.00006615939,0.000018254697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045820302,0.00096749695,0.0007128049,0.0005994807,0.00066158554,0.002513243,0.00081324414,0.0010284455,0.044586405],"category_scores_gemma":[0.0008268483,0.00030535943,0.00066216616,0.0011572608,0.00039602662,0.0017681371,0.0013582018,0.0011930645,0.008999048],"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":[0.00007716242,0.00011864218,0.0007841822,0.0005031559,0.00011298482,0.00022133974,0.000078882964,0.045086082,0.004030174,0.25838628,0.28850698,0.40209413],"study_design_scores_gemma":[0.000012411122,0.000057078752,0.0007391014,0.00008618355,0.00002544349,0.00013010958,0.00008148458,0.026312277,0.0017675454,0.1035696,0.8672021,0.000016782002],"about_ca_topic_score_codex":0.0012142031,"about_ca_topic_score_gemma":0.0016967625,"teacher_disagreement_score":0.044586405,"about_ca_system_score_codex":0.0010352288,"about_ca_system_score_gemma":0.0010832213,"threshold_uncertainty_score":0.14915633},"labels":[],"label_agreement":null},{"id":"W2890189915","doi":"10.3390/en11092458","title":"THD Reduction in Wind Energy System Using Type-4 Wind Turbine/PMSG Applying the Active Front-End Converter Parallel Operation","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología","keywords":"Total harmonic distortion; Wind power; Converters; Topology (electrical circuits); Pulse-width modulation; Turbine; Control theory (sociology); Boost converter; Electronic engineering; MATLAB; Electrical engineering; Power (physics); Voltage; Computer science; Engineering; Physics; Mechanical engineering","score_opus":0.018068799765407324,"score_gpt":0.2183806509979733,"score_spread":0.20031185123256598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890189915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49913183,0.0019225873,0.47584608,0.00016146919,0.0001283406,0.00012572751,0.00014539414,0.0011495247,0.021389047],"genre_scores_gemma":[0.9813772,0.00024342812,0.016983775,0.000013437436,0.0000146236935,0.000016131215,0.00005381704,0.000023586088,0.0012740443],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980897,0.000039374183,0.000012471588,0.000028847786,0.000099188816,0.000011167802],"domain_scores_gemma":[0.99989295,0.000034460358,0.000018015182,0.000015071323,0.00003650091,0.000002974531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441937,0.00042294772,0.00024083637,0.0003654447,0.00019360504,0.00034590074,0.00028340146,0.00025157913,0.00088822964],"category_scores_gemma":[0.00024173241,0.00008931254,0.0003031479,0.00026959326,0.0001224767,0.00024963348,0.00014818467,0.000186453,0.00019514331],"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":[0.00086128485,0.00018256341,0.0046298485,0.0010831177,0.00020717946,0.00060004357,0.0003025116,0.120674096,0.45156047,0.0025132436,0.0012419013,0.4161437],"study_design_scores_gemma":[0.00012855139,0.0018826607,0.022336105,0.00009750172,0.00030808654,0.0010736661,0.00016710647,0.5428368,0.41324264,0.0029086939,0.014969574,0.00004854471],"about_ca_topic_score_codex":0.00045208848,"about_ca_topic_score_gemma":0.00067474844,"teacher_disagreement_score":0.00088822964,"about_ca_system_score_codex":0.00019592245,"about_ca_system_score_gemma":0.000092445276,"threshold_uncertainty_score":0.0029714108},"labels":[],"label_agreement":null},{"id":"W2890573085","doi":"10.3390/en11092433","title":"Optimization of Solar Energy System for the Electric Vehicle at University Campus in Dhaka, Bangladesh","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Renewable energy; Photovoltaic system; Greenhouse gas; Environmental science; Automotive engineering; Solar energy; Environmental engineering; Environmental pollution; Energy storage; Electric vehicle; Natural gas; Environmental economics; Engineering; Waste management; Power (physics); Electrical engineering; Environmental protection","score_opus":0.0029390874311556615,"score_gpt":0.15680880721549856,"score_spread":0.15386971978434288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890573085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8602133,0.0012337804,0.038906246,0.000841781,0.000089312474,0.00017507626,0.0015480816,0.0002227598,0.096769646],"genre_scores_gemma":[0.9937303,0.00017598596,0.0018996301,0.00002151479,0.0000024605447,0.000042841697,0.00020300338,0.00001717597,0.003907161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987996,0.00003579828,0.0000045682905,0.000020102034,0.000024477999,0.00003519508],"domain_scores_gemma":[0.9998938,0.000050899096,0.000009308783,0.000003836022,0.00003067061,0.000011527614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021424003,0.0005837915,0.0006023607,0.00040026178,0.00061146385,0.0013593781,0.00047449794,0.0009151851,0.007294773],"category_scores_gemma":[0.00040200818,0.00033010458,0.00065251795,0.00058722275,0.00022528593,0.00043895954,0.00044560203,0.000496624,0.0005071809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007214917,0.0000328431,0.0015155397,0.00007399198,0.000020423613,0.00017268924,0.000024440555,0.9904896,0.0014679873,0.00088847417,0.0008358415,0.0044060033],"study_design_scores_gemma":[0.00003836345,0.00017964211,0.0035597885,0.000017433866,0.000038715698,0.00004211898,0.0002702777,0.99185866,0.0012231568,0.00085262273,0.0019017012,0.000017395087],"about_ca_topic_score_codex":0.032132924,"about_ca_topic_score_gemma":0.043102264,"teacher_disagreement_score":0.032132924,"about_ca_system_score_codex":0.0014776567,"about_ca_system_score_gemma":0.00081861933,"threshold_uncertainty_score":0.06389177},"labels":[],"label_agreement":null},{"id":"W2891450798","doi":"10.3390/en11092424","title":"A Stochastic Approach to Energy Policy and Management: A Case Study of the Pakistan Energy Crisis","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Energy consumption; Energy policy; Energy management; Energy (signal processing); Environmental economics; Consumption (sociology); Production (economics); Energy engineering; Government (linguistics); Energy accounting; Energy intensity; Energy current; Business; Economics; Public economics; Renewable energy; Engineering; Microeconomics; Statistics; Mathematics","score_opus":0.007496388673588537,"score_gpt":0.23843453046978366,"score_spread":0.23093814179619512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891450798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95775783,0.00025790892,0.022480486,0.0043553794,0.000033140343,0.00016873624,0.00052811025,0.000042364958,0.01437611],"genre_scores_gemma":[0.9952684,0.00023948672,0.0036889848,0.000060881193,0.00001067575,0.000030148842,0.00009306339,0.00000516987,0.0006031903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815756,0.0010966968,0.000077471916,0.000118194796,0.0002711276,0.00027892218],"domain_scores_gemma":[0.9953253,0.0036014512,0.00038815872,0.00009828046,0.00039256943,0.00019417692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028241875,0.00033033724,0.0003406587,0.0009803697,0.0016705347,0.0020743713,0.0007539831,0.0015722077,0.0011755225],"category_scores_gemma":[0.00548437,0.0002348692,0.00041475872,0.001955398,0.0013580706,0.0013893606,0.0012207249,0.0013462784,0.000084694824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040569212,0.0008126848,0.066142984,0.00022132364,0.0001538759,0.011974637,0.003841027,0.76274645,0.0012666356,0.11234728,0.006077801,0.03400945],"study_design_scores_gemma":[0.00009024132,0.00032254434,0.03646253,0.00009041068,0.0000682798,0.00084707246,0.027790906,0.881953,0.0013279874,0.038623463,0.012303588,0.00011993677],"about_ca_topic_score_codex":0.044739004,"about_ca_topic_score_gemma":0.050103776,"teacher_disagreement_score":0.044739004,"about_ca_system_score_codex":0.0045511466,"about_ca_system_score_gemma":0.002933296,"threshold_uncertainty_score":0.08895719},"labels":[],"label_agreement":null},{"id":"W2892555879","doi":"10.3390/en11102550","title":"Cooling Performance Characteristics of 20 Ah Lithium-Ion Pouch Cell with Cold Plates along Both Surfaces","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Coolant; Pouch; Materials science; Pressure drop; Lithium (medication); Volumetric flow rate; Inlet; Water cooling; Mass flow rate; Chemistry; Mass flow; Thermodynamics; Nuclear engineering; Analytical Chemistry (journal); Mechanical engineering; Chromatography","score_opus":0.009022195420193458,"score_gpt":0.21575628751114392,"score_spread":0.20673409209095048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892555879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770916,0.00023712325,0.001090613,0.000036722915,0.00003034969,0.000008238465,0.00012656853,0.00006821983,0.0006930917],"genre_scores_gemma":[0.9969441,0.00016962712,0.0013321482,0.000020534504,0.0000098670525,0.000021285861,0.00020198215,0.00001609899,0.0012842062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996742,0.00002065909,0.000023991923,0.00006357406,0.00015053412,0.000067107896],"domain_scores_gemma":[0.99940455,0.000112287315,0.0000911435,0.00005409996,0.0002957062,0.000042208696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683055,0.00042836706,0.0005079795,0.0004133021,0.00038797178,0.00041875517,0.00063114293,0.00052496,0.0017647309],"category_scores_gemma":[0.0006185038,0.0001654168,0.00031057824,0.0005298667,0.00043770127,0.00053829,0.00030933385,0.00033231615,0.00032836568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009365531,0.000052147392,0.004097967,0.00016307246,0.000018613933,0.00023342908,0.00017897577,0.004085191,0.9822556,0.00022669083,0.0004415656,0.007310227],"study_design_scores_gemma":[0.000048973776,0.0014634889,0.0137169715,0.000018695695,0.000058699185,0.00021302086,0.00030651814,0.021186842,0.9602548,0.00006538208,0.0026018955,0.00006468466],"about_ca_topic_score_codex":0.001702969,"about_ca_topic_score_gemma":0.0017642515,"teacher_disagreement_score":0.0017647309,"about_ca_system_score_codex":0.00027948312,"about_ca_system_score_gemma":0.0003162798,"threshold_uncertainty_score":0.0059036613},"labels":[],"label_agreement":null},{"id":"W2892753290","doi":"10.3390/en11102590","title":"Real-Time Implementation of Robust Control Strategies Based on Sliding Mode Control for Standalone Microgrids Supplying Non-Linear Loads","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Control theory (sociology); Maximum power point tracking; Sliding mode control; Controller (irrigation); Diesel generator; Photovoltaic system; Buck converter; Microgrid; MATLAB; Computer science; Engineering; Voltage; Automotive engineering; Diesel fuel; Control (management); Inverter; Nonlinear system","score_opus":0.007156329401016637,"score_gpt":0.24638065048194294,"score_spread":0.2392243210809263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892753290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075315915,0.00044974583,0.9149786,0.00009668486,0.00012495709,0.00008530115,0.000033141736,0.0015455539,0.007369984],"genre_scores_gemma":[0.976833,0.00010849894,0.021306055,0.000020744703,0.000013804371,0.000057951533,0.000031600266,0.000021201498,0.001607099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986744,0.000023156323,0.000012023062,0.00003079078,0.00005015226,0.000016377144],"domain_scores_gemma":[0.9997987,0.00006082456,0.0000365494,0.00002945337,0.00006503617,0.000009415192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028190477,0.00060880836,0.00032069487,0.00019877276,0.00018124554,0.00048879156,0.00046221478,0.00025018747,0.0019769273],"category_scores_gemma":[0.00051184255,0.00014409296,0.00023481254,0.00011893656,0.00022043164,0.00033506603,0.00026132507,0.00035620068,0.00027392898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054841855,0.0002229316,0.0014412428,0.00065398915,0.00015380967,0.0004356343,0.00041758042,0.50360674,0.10448912,0.010986692,0.0025646868,0.37447917],"study_design_scores_gemma":[0.000040189578,0.0004446611,0.0007686525,0.000020719393,0.000023459663,0.00006165585,0.000032702108,0.9812764,0.014307185,0.0011031117,0.0019089842,0.000012335005],"about_ca_topic_score_codex":0.0011354624,"about_ca_topic_score_gemma":0.0013137946,"teacher_disagreement_score":0.0019769273,"about_ca_system_score_codex":0.00015387475,"about_ca_system_score_gemma":0.00023465967,"threshold_uncertainty_score":0.006613493},"labels":[],"label_agreement":null},{"id":"W2895252719","doi":"10.3390/en11102607","title":"The Effect of Electronic Scavenger Additives on the AC Dielectric Strength of Transformer Mineral Oil","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; King Saud University","keywords":"Weibull distribution; Mineral oil; Dielectric strength; Dielectric; Transformer oil; Scavenger; Materials science; Chemistry; Transformer; Analytical Chemistry (journal); Breakdown voltage; Composite material; Voltage; Metallurgy; Chromatography; Mathematics; Electrical engineering; Engineering; Organic chemistry; Statistics; Radical; Optoelectronics","score_opus":0.003394144373274174,"score_gpt":0.19473697793668493,"score_spread":0.19134283356341075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895252719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710184,0.0011600767,0.00080193445,0.000029062232,0.000016433023,0.0000074582063,0.00004260666,0.000021448652,0.0008191925],"genre_scores_gemma":[0.9975604,0.00081453746,0.0010724623,0.000019486988,0.000009096424,0.000004515459,0.000037573907,0.000008220301,0.00047377215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997212,0.00006153666,0.000031897955,0.000042835552,0.00009905647,0.000043347758],"domain_scores_gemma":[0.99916434,0.00033824603,0.00018444318,0.000050994753,0.00019595752,0.00006594443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002455724,0.00036815382,0.0002594025,0.00028703464,0.00014946611,0.00031658867,0.00018557224,0.00020103484,0.0008694088],"category_scores_gemma":[0.0010093979,0.00013576912,0.00017604344,0.0002131008,0.00023046562,0.00024961968,0.00021706849,0.00029832483,0.00017470036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005403191,0.000032968353,0.0009994031,0.00015887912,0.000025239679,0.00008818339,0.000037511512,0.00041994924,0.9918898,0.000031341115,0.000022792603,0.005753664],"study_design_scores_gemma":[0.000003162759,0.00039611274,0.0015630305,0.0000070452716,0.000033699213,0.000051319883,0.000030855437,0.0003859997,0.9971199,0.000007315939,0.00039740454,0.0000040825093],"about_ca_topic_score_codex":0.00070293003,"about_ca_topic_score_gemma":0.0010418062,"teacher_disagreement_score":0.0008694088,"about_ca_system_score_codex":0.00013703125,"about_ca_system_score_gemma":0.0001954394,"threshold_uncertainty_score":0.0029085279},"labels":[],"label_agreement":null},{"id":"W2896438889","doi":"10.3390/en11102699","title":"Optimization of Hybrid Energy Storage Systems for Vehicles with Dynamic On-Off Power Loads Using a Nested Formulation","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Optimization problem; Computer science; Energy storage; Power (physics); Computation; Battery (electricity); Energy management; Minification; Mathematical optimization; Engineering; Energy (signal processing); Mathematics; Algorithm","score_opus":0.011791990320029403,"score_gpt":0.25036319057752743,"score_spread":0.23857120025749803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896438889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02177043,0.00032466953,0.9694392,0.00015212457,0.000032943703,0.000056656078,0.00009146256,0.000103501094,0.008029022],"genre_scores_gemma":[0.8435109,0.00052642,0.14457317,0.00011235956,0.000038112325,0.0003377517,0.00024958074,0.00011292698,0.010538718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999795,0.00007347852,0.000007969884,0.00003517947,0.00006571325,0.000022686816],"domain_scores_gemma":[0.9997948,0.0001188434,0.000022807468,0.0000116556275,0.00003889617,0.000013160645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005656904,0.0008190126,0.000755753,0.0002564535,0.00021640184,0.0008876641,0.0005073311,0.00067226053,0.0020881074],"category_scores_gemma":[0.00080656,0.0005195304,0.00068662217,0.00026716854,0.00056612166,0.0008440402,0.00087917683,0.00070842274,0.00024764455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011709898,0.000008551088,0.00008870987,0.000031903193,0.0000107320775,0.000020884667,0.000015059758,0.99059814,0.000880006,0.0051720724,0.00013569082,0.0030264868],"study_design_scores_gemma":[0.0000031306477,0.000014647263,0.000040555013,0.0000029321807,0.0000030898016,0.000003649363,0.0000076254987,0.9976406,0.00019013762,0.0017431902,0.00034861692,0.0000017940375],"about_ca_topic_score_codex":0.003174502,"about_ca_topic_score_gemma":0.0036236423,"teacher_disagreement_score":0.003174502,"about_ca_system_score_codex":0.00058372563,"about_ca_system_score_gemma":0.0008549434,"threshold_uncertainty_score":0.0069853663},"labels":[],"label_agreement":null},{"id":"W2896460727","doi":"10.3390/en11102792","title":"Development of a New Bi-Arc Dynamic Numerical Model for Modeling AC Flashover Processes of EHV Ice-Covered Insulators","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","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":"Arc flash; Arc (geometry); Voltage; Electric arc; Process (computing); Finite element method; Computer science; Mechanics; Insulator (electricity); High voltage; Algorithm; Mechanical engineering; Engineering; Electrical engineering; Structural engineering; Electrode; Physics","score_opus":0.03246506147324402,"score_gpt":0.28002783509748697,"score_spread":0.24756277362424295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896460727","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":[0.03990713,0.00016497436,0.95221335,0.0001060303,0.00006286175,0.000081499325,0.00014689911,0.000544559,0.0067727333],"genre_scores_gemma":[0.7056886,0.00051122316,0.28352335,0.00006600336,0.000032238197,0.00035757586,0.00039068464,0.00019945532,0.0092309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998598,0.00002368397,0.000011553317,0.000027739454,0.00006288577,0.000014212544],"domain_scores_gemma":[0.99985886,0.000037856295,0.000015907535,0.000024533969,0.00005158369,0.000011249203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021600461,0.0004310871,0.000515139,0.00035468972,0.00030451978,0.00053301087,0.0011508304,0.0008902237,0.0011776452],"category_scores_gemma":[0.0005145329,0.0002805855,0.00063546066,0.00028957883,0.00031445955,0.00079666654,0.00054054713,0.000652805,0.00034464154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021832775,0.000024988969,0.00066908594,0.000054293785,0.000014857398,0.0000577978,0.00006105527,0.97146016,0.010574677,0.0045868503,0.00022531571,0.0122490935],"study_design_scores_gemma":[0.0000015817585,0.0000056700346,0.000057947644,0.0000017921911,0.0000020551315,0.0000091912625,0.000003727159,0.99829096,0.0008073072,0.00017492767,0.0006426726,0.0000021646729],"about_ca_topic_score_codex":0.0066017793,"about_ca_topic_score_gemma":0.0039699934,"teacher_disagreement_score":0.0066017793,"about_ca_system_score_codex":0.0005129889,"about_ca_system_score_gemma":0.0008683479,"threshold_uncertainty_score":0.013126731},"labels":[],"label_agreement":null},{"id":"W2896894107","doi":"10.3390/en11102794","title":"Hydrothermal Carbonization of Peat Moss and Herbaceous Biomass (Miscanthus): A Potential Route for Bioenergy","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Miscanthus; Peat; Biomass (ecology); Bioenergy; Environmental science; Hydrothermal carbonization; Phalaris arundinacea; Moss; Coal; Carbonization; Waste management; Agronomy; Biofuel; Wetland; Chemistry; Botany; Ecology; Engineering","score_opus":0.004533769694388344,"score_gpt":0.19080333067910485,"score_spread":0.1862695609847165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896894107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977628,0.00036183812,0.00084300677,0.000015554479,0.000007645119,0.000014072713,0.00007011185,0.00001066553,0.0009143345],"genre_scores_gemma":[0.99712795,0.00022889505,0.0014438874,0.000009287718,0.0000022239922,0.000006839333,0.0000817987,0.0000059226704,0.0010932507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99996567,0.000003337665,0.0000019949086,0.0000067681535,0.000011663046,0.000010473528],"domain_scores_gemma":[0.99996614,0.0000032076573,0.00000915625,0.0000034838024,0.0000063535613,0.000011678856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057262136,0.00023130281,0.00010530638,0.00019833467,0.00013654317,0.00015260179,0.00009590815,0.00010684109,0.00079657394],"category_scores_gemma":[0.000057116908,0.00007245761,0.00020408537,0.00017419933,0.000107609485,0.00019154031,0.00013126891,0.00021502322,0.00011727016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003464681,0.000013088476,0.0004936946,0.000041864954,0.000005556796,0.00009045358,0.000013792646,0.00014954217,0.99727803,0.00004852364,0.000009640553,0.0018211297],"study_design_scores_gemma":[0.0000062943186,0.00022907702,0.01578421,0.000010938956,0.000018813404,0.00024774828,0.00010976362,0.0010498234,0.9807756,0.000066117536,0.0016938669,0.000007733805],"about_ca_topic_score_codex":0.0015815678,"about_ca_topic_score_gemma":0.007823721,"teacher_disagreement_score":0.0015815678,"about_ca_system_score_codex":0.00015602371,"about_ca_system_score_gemma":0.00018507586,"threshold_uncertainty_score":0.0031446815},"labels":[],"label_agreement":null},{"id":"W2896945173","doi":"10.3390/en11102696","title":"Microgrid Islanding Detection Based on Mathematical Morphology","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Ontario Tech University","funders":"","keywords":"Islanding; Microgrid; Mathematical morphology; Grid; Dilation (metric space); Control theory (sociology); Computer science; Voltage; Capacitor; Electronic engineering; Filter (signal processing); Distributed generation; Engineering; Electrical engineering; Mathematics; Control (management)","score_opus":0.006674668022074297,"score_gpt":0.2054424961957768,"score_spread":0.1987678281737025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896945173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057524998,0.00018018988,0.93973535,0.000070939124,0.000025389321,0.000037212696,0.000026073363,0.00032402886,0.0020758167],"genre_scores_gemma":[0.5454131,0.0006375888,0.4509359,0.000046331836,0.000038140977,0.0000540161,0.00010034243,0.000066849105,0.0027077117],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998803,0.000021042943,0.000008748211,0.000028861321,0.000051574025,0.00000940519],"domain_scores_gemma":[0.99957937,0.00014973198,0.00008612852,0.000051298997,0.00011692206,0.000016519825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002486828,0.00030473064,0.00027443087,0.00077437976,0.00016110139,0.0007546825,0.0003209861,0.00033403616,0.00090125436],"category_scores_gemma":[0.0010493421,0.00014787936,0.0004231972,0.0005501655,0.0003742866,0.0009167609,0.0003394516,0.0002949332,0.00026052378],"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":[0.00019036786,0.000073348696,0.003285905,0.0002632457,0.00006501819,0.0004815294,0.0003820034,0.07975838,0.2557105,0.017253963,0.00092423183,0.64161146],"study_design_scores_gemma":[0.00001495414,0.0001713761,0.005224964,0.000023685145,0.00003697037,0.0010012131,0.00014025324,0.91711,0.065164775,0.0058079185,0.0052697244,0.00003409783],"about_ca_topic_score_codex":0.00036964405,"about_ca_topic_score_gemma":0.00036271833,"teacher_disagreement_score":0.00090125436,"about_ca_system_score_codex":0.00018930614,"about_ca_system_score_gemma":0.00024326741,"threshold_uncertainty_score":0.0030149817},"labels":[],"label_agreement":null},{"id":"W2897206375","doi":"10.3390/en11102801","title":"A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Smart grid; Computer science; Demand response; Compendium; Renewable energy; Grid; Electric power system; Key (lock); Distributed generation; Operations research; Risk analysis (engineering); Electricity; Power (physics); Engineering; Business; Computer security","score_opus":0.023792829445537775,"score_gpt":0.24602890781100728,"score_spread":0.2222360783654695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897206375","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":[0.004353766,0.47699443,0.43543568,0.006386263,0.007943479,0.00045651902,0.0025705253,0.0017753555,0.064083986],"genre_scores_gemma":[0.027687507,0.628358,0.30105674,0.0029991507,0.007402319,0.00062209927,0.005079061,0.0009738014,0.025821349],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979395,0.00032793678,0.00033966114,0.00024873257,0.0010558182,0.000088376946],"domain_scores_gemma":[0.9960342,0.0018546472,0.00031455912,0.0005200621,0.0011949941,0.000081641985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025126932,0.002592107,0.001582266,0.004619516,0.00048876595,0.0031163918,0.0020814203,0.0017803159,0.0068236445],"category_scores_gemma":[0.0062341355,0.0011260321,0.0013398239,0.0066903885,0.0008084171,0.004253125,0.0015413095,0.004206558,0.0044858307],"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":[0.00006631007,0.0001780184,0.00070239237,0.0065339897,0.00008195428,0.00018891983,0.0001756115,0.015289119,0.004413991,0.07555997,0.106722824,0.79008687],"study_design_scores_gemma":[0.000013817623,0.00021785087,0.0015231485,0.0042463895,0.000098789526,0.0011150433,0.00012477904,0.030158242,0.002647633,0.04368899,0.9160305,0.00013483549],"about_ca_topic_score_codex":0.0015387301,"about_ca_topic_score_gemma":0.0017129529,"teacher_disagreement_score":0.0068236445,"about_ca_system_score_codex":0.0012329415,"about_ca_system_score_gemma":0.001737036,"threshold_uncertainty_score":0.022827387},"labels":[],"label_agreement":null},{"id":"W2897308701","doi":"10.3390/en11102807","title":"Numerical Modelling of Ice-Covered Insulator Flashover: The Influence of Arc Velocity and Arc Propagation Criteria","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arc flash; Arc (geometry); Insulator (electricity); Mechanics; Voltage; Arc length; Finite element method; Electric arc; Engineering; Mechanical engineering; Structural engineering; Electrode; Electrical engineering; Physics","score_opus":0.01986653403693079,"score_gpt":0.24711305227056798,"score_spread":0.2272465182336372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897308701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31705797,0.00058781117,0.674225,0.00011054044,0.000043236105,0.00004939852,0.00006728079,0.00036102044,0.0074977768],"genre_scores_gemma":[0.97912097,0.0002642749,0.01941056,0.000008711781,0.000007693812,0.000022375061,0.000030257148,0.000035014593,0.0011001609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986684,0.000033565615,0.000008346756,0.000019006542,0.000056467474,0.000015733538],"domain_scores_gemma":[0.9995828,0.00022641146,0.00007072626,0.000037868085,0.00006538371,0.00001670384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028111946,0.0003813321,0.00037868862,0.0003685336,0.00018927979,0.0005164903,0.0005133156,0.0004867421,0.0005832326],"category_scores_gemma":[0.0012876838,0.00015742051,0.00031727942,0.0002683838,0.00044434753,0.00055097707,0.0003442375,0.00028699578,0.00011243023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024778157,0.000018195688,0.0009296073,0.000039029015,0.0000082919205,0.0000640743,0.00004569983,0.9820939,0.007616915,0.0024131604,0.00005178963,0.0066945516],"study_design_scores_gemma":[0.0000016623719,0.000012083539,0.00016578409,0.0000039309575,0.0000027533838,0.00002060417,0.00000772571,0.99743336,0.0019005499,0.00027449627,0.00017472473,0.0000023562488],"about_ca_topic_score_codex":0.0021819014,"about_ca_topic_score_gemma":0.0012121393,"teacher_disagreement_score":0.0021819014,"about_ca_system_score_codex":0.00033147322,"about_ca_system_score_gemma":0.0003511034,"threshold_uncertainty_score":0.0043383837},"labels":[],"label_agreement":null},{"id":"W2897437642","doi":"10.3390/en11102683","title":"Schedule-Based Operation Method Using Market Data for an Energy Storage System of a Customer in the Ontario Electricity Market","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"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":"Chosun University","keywords":"Electricity market; Schedule; Electricity; Computer science; Energy storage; Electricity retailing; Environmental economics; Order (exchange); Operations research; Electric power system; Reliability engineering; Business; Power (physics); Economics; Electrical engineering; Engineering; Finance","score_opus":0.038120063518389084,"score_gpt":0.27459596294455274,"score_spread":0.23647589942616365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897437642","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6387427,0.0005552946,0.34646317,0.0001746714,0.000058052276,0.00040083964,0.0022664112,0.0011170219,0.010221903],"genre_scores_gemma":[0.95787877,0.00014220097,0.03863061,0.000009243019,0.0000146221055,0.00010102077,0.001432812,0.000028167487,0.0017625318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996774,0.000052889907,0.000020824125,0.000058018162,0.00015539472,0.000035395373],"domain_scores_gemma":[0.99940217,0.0001282093,0.00006492462,0.000027399888,0.00035838052,0.000018898432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047194524,0.0006445466,0.00044482836,0.0010109503,0.000369516,0.0005997333,0.0005557744,0.00025647331,0.0013755535],"category_scores_gemma":[0.0017192649,0.00018751311,0.0003273954,0.0009985403,0.00015864983,0.00042494922,0.00022432566,0.00023177701,0.00019545206],"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":[0.00037041903,0.000112018315,0.02703939,0.0003699202,0.000086262815,0.00033838412,0.00031367785,0.7713923,0.012232873,0.003571999,0.0032787623,0.18089402],"study_design_scores_gemma":[0.000012272471,0.00003037515,0.005572239,0.0000034697896,0.000013564697,0.000018621742,0.00006962237,0.99160343,0.0017437394,0.00020791289,0.0007142056,0.000010640465],"about_ca_topic_score_codex":0.23508316,"about_ca_topic_score_gemma":0.18231702,"teacher_disagreement_score":0.76491684,"about_ca_system_score_codex":0.0018021762,"about_ca_system_score_gemma":0.0020012436,"threshold_uncertainty_score":0.46742964},"labels":[],"label_agreement":null},{"id":"W2897711960","doi":"10.3390/en11102723","title":"A Multi-Objective Energy and Environmental Systems Planning Model: Management of Uncertainties and Risks for Shanxi Province, China","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Water resources management and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Computer science; Electricity; Fuzzy logic; Electricity generation; Goal programming; Operations research; Mathematical optimization; Coal; Environmental economics; Risk analysis (engineering); Power (physics); Engineering; Business; Economics; Mathematics; Waste management","score_opus":0.014437173118734098,"score_gpt":0.2132495152634242,"score_spread":0.1988123421446901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897711960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60811615,0.0013136992,0.35688967,0.0019148292,0.00009815688,0.00032882686,0.0017252003,0.00031585913,0.029297577],"genre_scores_gemma":[0.9739473,0.00042739089,0.017767971,0.000050000137,0.000017211758,0.00023451238,0.00036033965,0.000024482726,0.0071709445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996246,0.00012808444,0.000014643035,0.00008049507,0.0000705838,0.00008157933],"domain_scores_gemma":[0.9995552,0.00022637194,0.00005921416,0.000012983247,0.00009513038,0.000051110193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010287336,0.0011922773,0.0009290728,0.0010328365,0.0008984725,0.0016666467,0.0017007961,0.0016597228,0.0024629156],"category_scores_gemma":[0.0012446227,0.00067916844,0.0009033,0.0012315148,0.00076509285,0.00090749125,0.0010919679,0.00086443353,0.00014956575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012976314,0.000008687932,0.0005076338,0.000014352503,0.0000123041245,0.00006864058,0.000019593837,0.99627656,0.000076977536,0.0014561355,0.00011761124,0.0014283983],"study_design_scores_gemma":[0.000005769373,0.000008033989,0.00018474701,0.0000023055943,0.0000061671667,0.000004794592,0.000014492173,0.99894124,0.000025801704,0.0006812592,0.00012242935,0.0000029529358],"about_ca_topic_score_codex":0.11416641,"about_ca_topic_score_gemma":0.07750179,"teacher_disagreement_score":0.11416641,"about_ca_system_score_codex":0.0032190646,"about_ca_system_score_gemma":0.0057314313,"threshold_uncertainty_score":0.22700375},"labels":[],"label_agreement":null},{"id":"W2897879628","doi":"10.3390/en11102756","title":"Engineering Dielectric Liquid Applications","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Dielectric; Liquid dielectric; Materials science; Process engineering; Engineering; Optoelectronics","score_opus":0.0044185484330402655,"score_gpt":0.18951560634364498,"score_spread":0.1850970579106047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897879628","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":[0.010316245,0.0054409862,0.016138455,0.0022789522,0.0029636074,0.00005210741,0.00031387323,0.00059214036,0.9619037],"genre_scores_gemma":[0.1475851,0.012029325,0.016221026,0.0016227729,0.0012772469,0.00011847197,0.0007760863,0.00042758146,0.8199424],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997664,0.000021271437,0.000009121306,0.00004310435,0.00012265383,0.000037356607],"domain_scores_gemma":[0.9997271,0.00003275008,0.000024284884,0.000054542284,0.00011999285,0.000041337964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036331237,0.00060992053,0.00027093315,0.00072788185,0.0007931912,0.0015336447,0.0005021409,0.00092422706,0.067258105],"category_scores_gemma":[0.00050129276,0.00016779108,0.000238726,0.0005927331,0.0005050424,0.001320545,0.0011770424,0.0007438368,0.038728546],"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":[0.00037942696,0.00021317074,0.00076841546,0.00072299456,0.000017847173,0.00046469126,0.00009354558,0.00228506,0.11415521,0.121709436,0.23738776,0.5218025],"study_design_scores_gemma":[0.000012942993,0.00011795563,0.0006934231,0.00017710158,0.000006949543,0.00038839722,0.00005758888,0.003757907,0.0303559,0.009109079,0.9553096,0.00001307704],"about_ca_topic_score_codex":0.0010096957,"about_ca_topic_score_gemma":0.0015151283,"teacher_disagreement_score":0.067258105,"about_ca_system_score_codex":0.000882357,"about_ca_system_score_gemma":0.00082702405,"threshold_uncertainty_score":0.2250008},"labels":[],"label_agreement":null},{"id":"W2898097850","doi":"10.3390/en11112887","title":"Efficiency Reduction in Stirling Engines Resulting from Sinusoidal Motion","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Stirling engine; Carnot cycle; Stirling cycle; Thermal efficiency; Heat engine; Work output; Reciprocating motion; Reduction (mathematics); Work (physics); Mechanics; Control theory (sociology); Automotive engineering; Physics; Thermodynamics; Mathematics; Computer science; Engineering; Combustion; Chemistry; Geometry","score_opus":0.006268968494827765,"score_gpt":0.20120524676952042,"score_spread":0.19493627827469265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898097850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92834324,0.00056866277,0.05960271,0.00005759443,0.0000213817,0.000033968143,0.00009794901,0.00023148242,0.011042934],"genre_scores_gemma":[0.99780005,0.000110251574,0.0010331188,0.000004262323,8.689513e-7,0.000008527471,0.00004578593,0.000013954934,0.0009832485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998288,0.000015697764,0.000009008366,0.00002321369,0.00008697023,0.000036145146],"domain_scores_gemma":[0.9998684,0.00005416705,0.00002455171,0.000017698309,0.000030601757,0.000004553806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031573296,0.00031104463,0.0003461739,0.00035680187,0.00016921235,0.0004640531,0.0003347726,0.0003015142,0.0009864165],"category_scores_gemma":[0.0006394403,0.00018729617,0.0004518672,0.00024511275,0.00042367447,0.0004350127,0.00026766956,0.00021465818,0.00031913363],"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":[0.000575964,0.00015398514,0.011925041,0.00042738277,0.000047905607,0.00063363893,0.00020301472,0.6421212,0.29009873,0.010073656,0.00037144637,0.043368146],"study_design_scores_gemma":[0.000020497228,0.00030193388,0.007000802,0.00001698664,0.000024912633,0.000107275155,0.000056196877,0.8357006,0.15291685,0.00201675,0.0018134019,0.000023846254],"about_ca_topic_score_codex":0.0015729151,"about_ca_topic_score_gemma":0.0015489992,"teacher_disagreement_score":0.0015729151,"about_ca_system_score_codex":0.00043653973,"about_ca_system_score_gemma":0.00025722806,"threshold_uncertainty_score":0.0032999516},"labels":[],"label_agreement":null},{"id":"W2899607261","doi":"10.3390/en11113020","title":"Brine-Dependent Recovery Processes in Carbonate and Sandstone Petroleum Reservoirs: Review of Laboratory-Field Studies, Interfacial Mechanisms and Modeling Attempts","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Virtual Materials Group (Canada); University of Calgary","funders":"","keywords":"Brine; Carbonate; Geology; Carbonate rock; Petroleum engineering; Wetting; Oil field; Petroleum; Enhanced oil recovery; Geochemistry; Dolomite; Mineralogy; Chemical engineering; Sedimentary rock; Chemistry","score_opus":0.015990046564440273,"score_gpt":0.27239215115879706,"score_spread":0.2564021045943568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899607261","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":[0.009993882,0.97876954,0.008703238,0.00020753275,0.000080588645,0.00003025991,0.00016570034,0.000053148982,0.0019961686],"genre_scores_gemma":[0.023533663,0.97253203,0.0028991012,0.000052997,0.00008815797,0.000032807322,0.0001229228,0.000010856306,0.00072740973],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968827,0.000031251067,0.000045912493,0.00010239114,0.00010672897,0.000025455614],"domain_scores_gemma":[0.9995034,0.00027379429,0.0000931922,0.000019635041,0.00009932754,0.00001064241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007909611,0.0011654211,0.0015743378,0.002030961,0.00031930493,0.0012122483,0.0010942594,0.0010134629,0.00091998087],"category_scores_gemma":[0.00082338764,0.0006807204,0.0010392423,0.0022477326,0.00053516444,0.0023399799,0.0006377472,0.000673537,0.00040750008],"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":[0.0002961203,0.00037853455,0.0049243416,0.094423614,0.0005660193,0.0009374861,0.00050253194,0.044527154,0.051074483,0.024084365,0.0057894024,0.772496],"study_design_scores_gemma":[0.000064661974,0.0018328199,0.018087696,0.012778371,0.002340647,0.0037918587,0.0013560831,0.08825428,0.13883841,0.028888004,0.7031682,0.00059894705],"about_ca_topic_score_codex":0.0035746354,"about_ca_topic_score_gemma":0.0026274584,"teacher_disagreement_score":0.0035746354,"about_ca_system_score_codex":0.000631257,"about_ca_system_score_gemma":0.0010719197,"threshold_uncertainty_score":0.007107675},"labels":[],"label_agreement":null},{"id":"W2899678744","doi":"10.3390/en11113093","title":"Performance of Wood-Based Panels Integrated with a Bio-Based Phase Change Material: A Full-Scale Experiment in a Cold Climate with Timber-Frame Huts","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overheating (electricity); Environmental science; Phase-change material; TRNSYS; Thermal mass; Cold climate; Energy consumption; Limiting; Full scale; Thermal energy storage; Engineering; Meteorology; Thermal; Geography; Structural engineering; Mechanical engineering; Ecology","score_opus":0.030104553507028384,"score_gpt":0.2770064237637752,"score_spread":0.2469018702567468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899678744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993204,0.00003872736,0.00022732484,0.0000031876273,0.000006806701,0.00003570656,0.00021082598,0.000012245882,0.00014485407],"genre_scores_gemma":[0.99614716,0.00011395868,0.0015283958,0.000016712553,0.0000049956484,0.000077791374,0.0004107044,0.000021532836,0.0016787664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996147,0.00002961815,0.000015020043,0.00010712553,0.00013211294,0.00010132734],"domain_scores_gemma":[0.9995517,0.00006315604,0.000037866255,0.00004263122,0.00020730752,0.00009721934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004538011,0.00077491935,0.00074733543,0.0002912437,0.0006861328,0.0004942295,0.0007842862,0.00053591176,0.0014057565],"category_scores_gemma":[0.0003749477,0.00026617447,0.0006415576,0.00036258472,0.00033279616,0.00025034903,0.0003546804,0.0004981654,0.00041236845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010411799,0.0007715415,0.0035301484,0.00018408604,0.000030509877,0.0001825744,0.00022978081,0.0025280423,0.9879821,0.000015437121,0.00011894072,0.0033857329],"study_design_scores_gemma":[0.00009689656,0.012774335,0.09947017,0.00002743756,0.00016077656,0.00012211806,0.0007192049,0.0068519996,0.87811095,0.000018909965,0.0015794745,0.00006765173],"about_ca_topic_score_codex":0.03725853,"about_ca_topic_score_gemma":0.07562917,"teacher_disagreement_score":0.03725853,"about_ca_system_score_codex":0.0008085754,"about_ca_system_score_gemma":0.0005191873,"threshold_uncertainty_score":0.07408333},"labels":[],"label_agreement":null},{"id":"W2899950325","doi":"10.3390/en11113059","title":"Distributed Thermal Response Tests Using a Heating Cable and Fiber Optic Temperature Sensing","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Bureau de Recherches Géologiques et Minières; Agence Nationale de la Recherche; Equipex; United Nations Educational, Scientific and Cultural Organization","keywords":"Thermal conductivity; Materials science; Heat exchanger; Thermal; Heat transfer; Natural convection; Mechanics; Nuclear engineering; Environmental science; Engineering; Mechanical engineering; Composite material; Thermodynamics; Physics","score_opus":0.013432883845900554,"score_gpt":0.24684675455995891,"score_spread":0.23341387071405836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899950325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692768,0.00007616375,0.029678,0.000022916644,0.0000147878445,0.00008026739,0.0001522381,0.00016684961,0.0005320081],"genre_scores_gemma":[0.9857013,0.0000420229,0.012842384,0.00001531951,0.0000059446857,0.00006552029,0.000085911764,0.000032251402,0.0012092108],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992797,0.00011787681,0.000041367563,0.00019575375,0.0002977113,0.00006768882],"domain_scores_gemma":[0.9987004,0.00037497145,0.0002607036,0.00019634848,0.00040329766,0.00006424743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063659914,0.00068627996,0.0002990325,0.0005293677,0.00027600443,0.00023838096,0.0005591897,0.00041192645,0.0012898097],"category_scores_gemma":[0.0012258558,0.00023329104,0.00041066902,0.00045699062,0.00044941183,0.00054581376,0.0003849552,0.0003573716,0.00025306226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004980212,0.00013760095,0.003942632,0.00010577239,0.000022861754,0.0000849854,0.00014634029,0.0033535438,0.9807664,0.00013812842,0.00007866209,0.010724925],"study_design_scores_gemma":[0.000048048147,0.0017439442,0.013527218,0.000007386152,0.0000291292,0.00015319072,0.000094385185,0.008718154,0.97505647,0.00008957335,0.0005088694,0.000023686389],"about_ca_topic_score_codex":0.0009816707,"about_ca_topic_score_gemma":0.00193305,"teacher_disagreement_score":0.0012898097,"about_ca_system_score_codex":0.00042050768,"about_ca_system_score_gemma":0.00025159903,"threshold_uncertainty_score":0.00431484},"labels":[],"label_agreement":null},{"id":"W2900112979","doi":"10.3390/en11123505","title":"AC Dielectric Strength of Mineral Oil-Based Fe3O4 and Al2O3 Nanofluids","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":58,"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 of Population and Public Health; King Saud University","keywords":"Nanofluid; Nanoparticle; Materials science; Dielectric; Mineral oil; Zeta potential; Transformer oil; Dielectric strength; Scanning electron microscope; Dielectric spectroscopy; Composite material; Particle size; Permittivity; Breakdown voltage; Chemical engineering; Nanotechnology; Transformer; Voltage; Optoelectronics; Electrochemistry; Chemistry; Metallurgy; Electrical engineering; Electrode","score_opus":0.005389471199627348,"score_gpt":0.19696174916262965,"score_spread":0.1915722779630023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900112979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756795,0.000496823,0.0012594843,0.000024418,0.000011282765,0.0000067267306,0.000063174644,0.000011228236,0.00055890507],"genre_scores_gemma":[0.9977907,0.0002739948,0.0013798963,0.000012658654,0.000004620764,0.000007225041,0.00006734778,0.000007765004,0.0004557674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999826,0.000030675903,0.000015838501,0.00002748061,0.00007037841,0.00002972241],"domain_scores_gemma":[0.9995919,0.0001738111,0.000077730474,0.000019896275,0.00010145199,0.000035351026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026088097,0.00018325506,0.00015767454,0.00020524295,0.00014557301,0.00019397607,0.00013889957,0.00018804219,0.00048019466],"category_scores_gemma":[0.0006827332,0.00012774931,0.00011910033,0.00014515566,0.00022440526,0.00025387402,0.00015624777,0.00025209802,0.00010577962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016097262,0.000012126811,0.00023903581,0.000045716773,0.0000032215144,0.000022505277,0.00002519671,0.00012228597,0.99832445,0.00002844136,0.0000074732925,0.0010085314],"study_design_scores_gemma":[0.000003198418,0.00009519349,0.0007271605,0.0000022223655,0.0000051817024,0.000024305136,0.000017028591,0.0005213704,0.99842846,0.00001031289,0.00016409965,0.0000014665031],"about_ca_topic_score_codex":0.0005983981,"about_ca_topic_score_gemma":0.0007036133,"teacher_disagreement_score":0.0005983981,"about_ca_system_score_codex":0.00025855235,"about_ca_system_score_gemma":0.00010207884,"threshold_uncertainty_score":0.001875937},"labels":[],"label_agreement":null},{"id":"W2900588403","doi":"10.3390/en11113129","title":"Mild Hydrothermal Liquefaction of High Water Content Agricultural Residue for Bio-Crude Oil Production: A Parametric Study","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Guelph","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Hydrothermal liquefaction; Raw material; Pulp and paper industry; Chemistry; Supercritical fluid; Liquefaction; Petroleum; Waste management; Residue (chemistry); Autoclave; Environmental science; Catalysis; Ethanol fuel; Ethanol; Organic chemistry","score_opus":0.0195204094601749,"score_gpt":0.21742411345542342,"score_spread":0.19790370399524854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900588403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987344,0.000098704964,0.0006886641,0.0000092764485,0.0000017689122,0.000009289126,0.00007055761,0.000006036105,0.00038118352],"genre_scores_gemma":[0.99894434,0.00014951087,0.00061972317,0.0000015453514,0.0000014927907,0.000006995372,0.000037015823,0.000002572531,0.00023677964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991596,0.0000091500815,0.0000064222863,0.00001562448,0.00003323132,0.00001952522],"domain_scores_gemma":[0.9999399,0.000019209188,0.000015391994,0.0000068811582,0.000010774371,0.000007896113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017050674,0.00026886247,0.00027786347,0.00018092473,0.00015893132,0.00031607028,0.00023712491,0.00025668173,0.0008185605],"category_scores_gemma":[0.00019129628,0.000116903735,0.00031359014,0.00028945794,0.00020957075,0.00025852796,0.00023396243,0.00029400818,0.00015303207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015773941,0.00008140167,0.00064908847,0.00008219422,0.000007452528,0.00012893214,0.000038546885,0.0026950105,0.9937635,0.000094299525,0.000017076456,0.00228469],"study_design_scores_gemma":[0.00001789451,0.0007197235,0.002389208,0.000003942759,0.000014403842,0.000056625053,0.00006785325,0.01155917,0.98461145,0.000041545678,0.00050863985,0.000009579777],"about_ca_topic_score_codex":0.001195528,"about_ca_topic_score_gemma":0.0016179073,"teacher_disagreement_score":0.001195528,"about_ca_system_score_codex":0.0002546223,"about_ca_system_score_gemma":0.00017517674,"threshold_uncertainty_score":0.002738297},"labels":[],"label_agreement":null},{"id":"W2901295712","doi":"10.3390/en11113127","title":"A Comparative Study of MPC and Economic MPC of Wind Energy Conversion Systems","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Model predictive control; Turbine; Maximum power point tracking; Wind power; Operating point; Tracking (education); Computer science; Wind speed; Operating cost; Work (physics); Maximum power principle; Power (physics); Function (biology); Energy (signal processing); Control (management); Engineering; Mathematics; Statistics; Artificial intelligence","score_opus":0.007149343558080487,"score_gpt":0.1937033782936852,"score_spread":0.18655403473560472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901295712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39248797,0.014952348,0.5322865,0.0008997269,0.00025990984,0.00018171628,0.00022488946,0.00062466617,0.05808222],"genre_scores_gemma":[0.9852925,0.001330522,0.012301599,0.000030808773,0.000052800144,0.000024658868,0.000059676426,0.000016901273,0.0008904669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895656,0.00032247687,0.000045057248,0.00010669958,0.00047031036,0.000098956545],"domain_scores_gemma":[0.998047,0.0012495632,0.00016264357,0.00014914769,0.00035384524,0.000037781967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018313018,0.00061971816,0.00071401306,0.00069771486,0.00033934027,0.0010289551,0.00056243216,0.0005834047,0.0011118631],"category_scores_gemma":[0.0040033017,0.00022581236,0.00039006595,0.0008697133,0.00053019787,0.0012608459,0.00049334037,0.0006774408,0.00008855581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092939335,0.000032032895,0.0009895172,0.00014971544,0.000053969572,0.00004963718,0.000015501224,0.9612066,0.0006340143,0.0087621305,0.00020523832,0.027808703],"study_design_scores_gemma":[0.000007654966,0.00009350361,0.0012749642,0.000011349811,0.000016154734,0.000017780481,0.000017299712,0.9951929,0.0009281539,0.0015975848,0.0008361865,0.0000066228245],"about_ca_topic_score_codex":0.0038791038,"about_ca_topic_score_gemma":0.0021384484,"teacher_disagreement_score":0.0038791038,"about_ca_system_score_codex":0.00061312935,"about_ca_system_score_gemma":0.00063016056,"threshold_uncertainty_score":0.00968498},"labels":[],"label_agreement":null},{"id":"W2901326947","doi":"10.3390/en11123248","title":"Power Transformer Diagnostics, Monitoring and Design Features","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Reliability engineering; Power quality; Transformer; Reliability (semiconductor); Power grid; Computer science; Power (physics); Engineering; Electrical engineering; Voltage","score_opus":0.009550732213927712,"score_gpt":0.21582377341486558,"score_spread":0.20627304120093787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901326947","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":[0.13965732,0.003454841,0.7345443,0.0028912304,0.00052880414,0.00049007474,0.0014380668,0.011925148,0.10507023],"genre_scores_gemma":[0.91098946,0.0014131151,0.061208066,0.00043056678,0.00020510948,0.00008556222,0.00063712493,0.00036034535,0.024670625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995117,0.000046076708,0.000020078807,0.00005651577,0.00033619694,0.00002926033],"domain_scores_gemma":[0.999388,0.00012167298,0.00007454166,0.000093182236,0.0002968697,0.000025687314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040362636,0.0005746407,0.00029701853,0.00092852995,0.00028448593,0.001090793,0.00057835266,0.0007101663,0.004215504],"category_scores_gemma":[0.0015039744,0.0002942078,0.0001929041,0.0006060994,0.00033125715,0.0011328285,0.00029599378,0.00042984966,0.0023278864],"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":[0.00066401967,0.00015569752,0.011693407,0.0005697428,0.000025768428,0.0008013869,0.00034524262,0.0137521885,0.28457794,0.010099597,0.020568373,0.6567467],"study_design_scores_gemma":[0.00013196972,0.00093240995,0.030027913,0.00022948551,0.00014368426,0.015378803,0.00041178265,0.10722365,0.54743224,0.023465713,0.27448004,0.00014234682],"about_ca_topic_score_codex":0.0006782367,"about_ca_topic_score_gemma":0.0006858642,"teacher_disagreement_score":0.004215504,"about_ca_system_score_codex":0.00037600633,"about_ca_system_score_gemma":0.0003390019,"threshold_uncertainty_score":0.01410228},"labels":[],"label_agreement":null},{"id":"W2901418499","doi":"10.3390/en11123263","title":"Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Control theory (sociology); Maximum power point tracking; Fuzzy logic; Photovoltaic system; Robustness (evolution); MATLAB; Maximum power principle; Computer science; Controller (irrigation); Fuzzy control system; Control engineering; Voltage; Engineering; Control (management); Artificial intelligence","score_opus":0.02486796416811855,"score_gpt":0.2683908695185523,"score_spread":0.24352290535043375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901418499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54425734,0.0003712572,0.4409095,0.00015721744,0.000028179795,0.00005455236,0.000026392026,0.0003199174,0.013875688],"genre_scores_gemma":[0.99237776,0.000031779942,0.006847262,0.000009098698,0.000001937953,0.0000097371185,0.0000057144484,0.000003830945,0.00071302144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999167,0.000017158349,0.000003253284,0.00001989919,0.0000308175,0.000012146871],"domain_scores_gemma":[0.9997619,0.00013827073,0.000026597114,0.000015537826,0.000049293198,0.000008418672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023697708,0.00023845007,0.00023107334,0.00017875164,0.00024748995,0.00031191888,0.00020238516,0.00037653826,0.0007652463],"category_scores_gemma":[0.0008132232,0.000076388074,0.00018811015,0.000096535936,0.00022582959,0.00019362739,0.000097603646,0.00023758544,0.000088358174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002530639,0.00012628608,0.003379676,0.00017411065,0.0000858491,0.0005003665,0.00035258252,0.7837178,0.1349031,0.0072238166,0.00032578307,0.06895766],"study_design_scores_gemma":[0.0000070530564,0.00009912262,0.00094027526,0.000005985326,0.000010334371,0.00004716708,0.000019439321,0.98630327,0.011817377,0.00046768325,0.00027693674,0.0000052841633],"about_ca_topic_score_codex":0.0019325607,"about_ca_topic_score_gemma":0.00096035196,"teacher_disagreement_score":0.0019325607,"about_ca_system_score_codex":0.0002226245,"about_ca_system_score_gemma":0.00021739014,"threshold_uncertainty_score":0.0038426518},"labels":[],"label_agreement":null},{"id":"W2901543613","doi":"10.3390/en11113218","title":"Energy and Economic Analysis for Greenhouse Ground Insulation Design","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse; Energy consumption; Building envelope; Environmental science; Envelope (radar); TRNSYS; Thermal insulation; Engineering; Meteorology; Telecommunications; Thermal; Materials science; Electrical engineering","score_opus":0.024451042362665196,"score_gpt":0.21737471388293325,"score_spread":0.19292367152026807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901543613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6647433,0.0023496177,0.21294367,0.0006174419,0.00009389555,0.0007499387,0.0020323223,0.00021160941,0.11625818],"genre_scores_gemma":[0.9651478,0.00060470623,0.028393412,0.00003572845,0.000010731372,0.00018666656,0.0006057318,0.000039596132,0.004975596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995433,0.00013557766,0.000009774429,0.00002403685,0.00020948137,0.000077806944],"domain_scores_gemma":[0.9993481,0.0004184447,0.000035993373,0.000026404481,0.00015641609,0.000014648438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030917,0.0007278478,0.0005201443,0.0016836133,0.00048614142,0.0011113664,0.00048121353,0.00052803225,0.006742441],"category_scores_gemma":[0.002188971,0.00041761223,0.0011628683,0.0011225123,0.00033113622,0.0008387335,0.0002946311,0.0004787826,0.00032462427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008909326,0.00006035404,0.0017785411,0.00009679729,0.000016430848,0.00006725388,0.000014827778,0.96855855,0.0016669444,0.005768164,0.0006512278,0.021231791],"study_design_scores_gemma":[0.000013509424,0.00016139015,0.003062101,0.000033091794,0.00004478567,0.00003513672,0.000093752446,0.9898268,0.0014416665,0.0030549038,0.0022173657,0.00001550168],"about_ca_topic_score_codex":0.019893536,"about_ca_topic_score_gemma":0.030776452,"teacher_disagreement_score":0.019893536,"about_ca_system_score_codex":0.0031518075,"about_ca_system_score_gemma":0.0024916586,"threshold_uncertainty_score":0.03955549},"labels":[],"label_agreement":null},{"id":"W2902030180","doi":"10.3390/en11123380","title":"Computational Analysis of a Double-Nozzle Crossflow Hydroturbine","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Nozzle; Turbine; Power (physics); Mechanical engineering; Mechanics; Marine engineering; Flow (mathematics); Engineering; Physics; Thermodynamics","score_opus":0.009677775745845043,"score_gpt":0.2405546885245702,"score_spread":0.23087691277872516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902030180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9649285,0.00015983525,0.01896276,0.00043555922,0.0000681885,0.000090070396,0.00062048365,0.00012667036,0.014607869],"genre_scores_gemma":[0.99068743,0.000046085912,0.006548571,0.00005352589,0.000009421922,0.00007672035,0.0002465925,0.000025615447,0.002305984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999039,0.0000140791535,0.0000043054215,0.000020299634,0.000026936617,0.000030501857],"domain_scores_gemma":[0.99966884,0.0001912179,0.000027692317,0.000014799816,0.00005383086,0.000043604203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019187518,0.0003426769,0.0006956606,0.0003164496,0.00065002183,0.00076796685,0.0006822798,0.0012461061,0.003257945],"category_scores_gemma":[0.000884442,0.00026872024,0.00044081657,0.00033483194,0.00069962844,0.00044689627,0.0006059501,0.0005147993,0.00019561072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012980087,0.000084855914,0.0018807704,0.000059617734,0.000018903998,0.00029605706,0.000045183475,0.9891396,0.0036415157,0.001997003,0.00046030345,0.0022464443],"study_design_scores_gemma":[0.000018687258,0.000026301712,0.0005555078,0.000003185624,0.0000027799979,0.000016582097,0.000019923544,0.9986058,0.00044225063,0.00013789261,0.00016633373,0.0000047760673],"about_ca_topic_score_codex":0.010676569,"about_ca_topic_score_gemma":0.005969401,"teacher_disagreement_score":0.010676569,"about_ca_system_score_codex":0.00058013597,"about_ca_system_score_gemma":0.0011684719,"threshold_uncertainty_score":0.02122885},"labels":[],"label_agreement":null},{"id":"W2902089798","doi":"10.3390/en11123362","title":"The Role of Charging Infrastructure in Electric Vehicle Implementation within Smart Grids","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Resources Canada","keywords":"Microgrid; Electric vehicle; Context (archaeology); Smart grid; Energy storage; Electricity; Grid; Queueing theory; Computer science; Charging station; Duration (music); Resilience (materials science); Automotive engineering; Power (physics); Electrical engineering; Renewable energy; Engineering; Computer network","score_opus":0.0022977170647125946,"score_gpt":0.2010985350442223,"score_spread":0.1988008179795097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902089798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9215944,0.00021628207,0.06337328,0.0003290649,0.000032860204,0.0000848975,0.000067907844,0.00018813883,0.0141132865],"genre_scores_gemma":[0.9981723,0.00006234659,0.0014080208,0.0000072877506,0.000001578379,0.0000062919257,0.000010961494,0.000007834305,0.00032347746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999355,0.00028512333,0.000023266639,0.00005668546,0.000097818884,0.00018209891],"domain_scores_gemma":[0.99867225,0.00070854893,0.00021407672,0.00010642981,0.0002287381,0.000070007576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010667853,0.00036307,0.00027560713,0.00039115778,0.00040124726,0.0013218146,0.00060695497,0.0004877232,0.0014498167],"category_scores_gemma":[0.0039409194,0.0002936188,0.00028929266,0.0004905103,0.0005497309,0.0017912571,0.00079511973,0.00059740857,0.0001710552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012249906,0.00010863854,0.016055673,0.000060612583,0.000033219258,0.00019870557,0.0001877145,0.9477793,0.003402903,0.013969827,0.00022710727,0.0178538],"study_design_scores_gemma":[0.000020245297,0.00028310614,0.009511395,0.000027995398,0.000044782617,0.00005952745,0.00066644984,0.97759426,0.0044135745,0.0056017935,0.0017464509,0.00003053036],"about_ca_topic_score_codex":0.00914921,"about_ca_topic_score_gemma":0.007448626,"teacher_disagreement_score":0.00914921,"about_ca_system_score_codex":0.001339126,"about_ca_system_score_gemma":0.0012821356,"threshold_uncertainty_score":0.018191934},"labels":[],"label_agreement":null},{"id":"W2902357042","doi":"10.3390/en11123368","title":"A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Compartmentalization (fire protection); Reservoir modeling; Petroleum engineering; Flow (mathematics); Field (mathematics); Characterization (materials science); Capacitance; Environmental science; Geology; Mechanics; Mathematics; Materials science; Chemistry; Nanotechnology","score_opus":0.025290366684340124,"score_gpt":0.245939724523784,"score_spread":0.22064935783944387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902357042","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":[0.013318048,0.6690506,0.2846973,0.002209556,0.0013003482,0.00011563352,0.001581665,0.001157305,0.026569607],"genre_scores_gemma":[0.09861932,0.82814586,0.06320701,0.00041859914,0.0016394877,0.00014463888,0.0019293557,0.00027766707,0.005618106],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947697,0.00011350738,0.00008634899,0.00012307265,0.00016654046,0.000033557422],"domain_scores_gemma":[0.9972932,0.0019731692,0.00014823698,0.00013056168,0.00041730914,0.000037566817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010941076,0.0016192541,0.0013205952,0.002253145,0.00036167967,0.0019111689,0.0017639592,0.0011819635,0.005372923],"category_scores_gemma":[0.003587514,0.00061389385,0.0012657589,0.003877116,0.0003727329,0.002145141,0.0007110396,0.0007274366,0.0018470127],"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":[0.000084572624,0.00014392353,0.002654803,0.014338623,0.0002874396,0.00026137973,0.0001587221,0.14577769,0.0029688212,0.026839217,0.030528435,0.7759564],"study_design_scores_gemma":[0.000025125773,0.0002545277,0.0035636744,0.008545827,0.000803868,0.0008577744,0.00039245305,0.43110815,0.006153644,0.03304433,0.5150212,0.00022941106],"about_ca_topic_score_codex":0.002903645,"about_ca_topic_score_gemma":0.0022037902,"teacher_disagreement_score":0.005372923,"about_ca_system_score_codex":0.00047854695,"about_ca_system_score_gemma":0.0012983826,"threshold_uncertainty_score":0.017974198},"labels":[],"label_agreement":null},{"id":"W2902372910","doi":"10.3390/en11123318","title":"Prediction of Remaining Useful Life of Wind Turbine Bearings under Non-Stationary Operating Conditions","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Turbine; Wind power; Computer science; Drivetrain; Support vector machine; Reliability (semiconductor); Vibration; Condition monitoring; Artificial neural network; Interval (graph theory); Process (computing); Noise (video); Bearing (navigation); Reliability engineering; Automotive engineering; Engineering; Power (physics); Artificial intelligence; Torque; Mathematics","score_opus":0.017275733904174802,"score_gpt":0.26306675656563555,"score_spread":0.24579102266146075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902372910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8498836,0.00029193854,0.148688,0.000064358894,0.00002919057,0.000015768184,0.00014728849,0.00034777756,0.0005320944],"genre_scores_gemma":[0.9966304,0.000064169864,0.0030684746,0.0000028816098,0.00000454189,0.0000041082676,0.00009324114,0.000004382865,0.0001278481],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989784,0.000017211712,0.000008872616,0.000025095684,0.000037436133,0.000013621717],"domain_scores_gemma":[0.9994734,0.00026638765,0.0000986829,0.000035016084,0.00010143203,0.00002519527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035158588,0.0005489599,0.00033699122,0.0006932938,0.00011688066,0.00027093623,0.000273777,0.00043952983,0.00021001161],"category_scores_gemma":[0.0015195836,0.00012570809,0.00024969157,0.00033317044,0.00016391187,0.0004961237,0.00013893058,0.00030110052,0.00010013043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002109966,0.00014244906,0.027761737,0.00007316339,0.00003237093,0.0003220903,0.00006841465,0.85061216,0.013537417,0.0003497336,0.0004886422,0.10640078],"study_design_scores_gemma":[0.0000017794287,0.000026031374,0.0049981023,0.0000015151238,0.000003235493,0.000013577047,0.0000074898885,0.9935489,0.0012682753,0.000098836324,0.000029075622,0.000003067203],"about_ca_topic_score_codex":0.0023488642,"about_ca_topic_score_gemma":0.0020749408,"teacher_disagreement_score":0.0023488642,"about_ca_system_score_codex":0.00015754183,"about_ca_system_score_gemma":0.0001942965,"threshold_uncertainty_score":0.004670322},"labels":[],"label_agreement":null},{"id":"W2902407880","doi":"10.3390/en11123322","title":"A Simplified Methodology to Estimate Energy Savings in Commercial Buildings from Improvements in Airtightness","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"UT-Battelle; Battelle; U.S. Department of Energy","keywords":"Calculator; Energy modeling; Airflow; Oak Ridge National Laboratory; Building envelope; Building energy simulation; Engineering; Efficient energy use; Infiltration (HVAC); Energy (signal processing); Simulation; Civil engineering; Architectural engineering; Computer science; Energy performance; Mechanical engineering; Meteorology; Thermal; Electrical engineering","score_opus":0.02613741022082308,"score_gpt":0.30747969083434756,"score_spread":0.2813422806135245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902407880","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":[0.097491555,0.0005402173,0.8835328,0.0000997337,0.000068707945,0.00053527695,0.0027356788,0.0032953862,0.011700515],"genre_scores_gemma":[0.6113894,0.0006748666,0.37783098,0.000077966295,0.000026371164,0.0009633301,0.0023458246,0.00022847213,0.006462764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869007,0.00022416371,0.000060306094,0.00020261142,0.00077395764,0.000048828748],"domain_scores_gemma":[0.9991941,0.00020552674,0.00014050702,0.00015540032,0.00029177996,0.000012594205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006637874,0.0012834864,0.00065782666,0.0022876693,0.0003071085,0.0009786591,0.001098907,0.0005506927,0.0034644373],"category_scores_gemma":[0.0028093634,0.00052497827,0.0009979698,0.0021747933,0.00024902113,0.0013432698,0.0007782443,0.0005195296,0.0012505839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023662602,0.0003348968,0.021608092,0.00091842574,0.00020294327,0.0002050143,0.00032919273,0.46977302,0.06401471,0.008274441,0.006014077,0.42808855],"study_design_scores_gemma":[0.0000767966,0.00054436765,0.032191224,0.00008734954,0.00010643286,0.0003416072,0.000158156,0.8891553,0.053219274,0.0034455662,0.020520955,0.00015298542],"about_ca_topic_score_codex":0.013165294,"about_ca_topic_score_gemma":0.015287299,"teacher_disagreement_score":0.013165294,"about_ca_system_score_codex":0.0010395689,"about_ca_system_score_gemma":0.0009263702,"threshold_uncertainty_score":0.026177347},"labels":[],"label_agreement":null},{"id":"W2902553559","doi":"10.3390/en11123344","title":"A PLC Channel Model for Home Area Networks","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Mobile Communications Research Laboratory, Southeast University; Natural Sciences and Engineering Research Council of Canada; Southeast University","keywords":"Circuit breaker; Power-line communication; Interrupter; Electrical engineering; Engineering; Transformer; Network topology; Channel (broadcasting); Smart grid; Fault (geology); Power network; Electronic engineering; Computer science; Electric power system; Power (physics); Computer network; Voltage","score_opus":0.025739183095944196,"score_gpt":0.23286789598200686,"score_spread":0.20712871288606266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902553559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074456865,0.00045279867,0.9671234,0.00017865795,0.000083904524,0.00004018878,0.00027294565,0.00041129792,0.023991195],"genre_scores_gemma":[0.8669875,0.0019544784,0.07749764,0.00024071524,0.00021832612,0.00028432626,0.00067630375,0.00022364238,0.0519171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997216,0.00005773591,0.000008007665,0.000053786338,0.00010824069,0.000050728395],"domain_scores_gemma":[0.9997162,0.00011701114,0.000029640625,0.00002553406,0.00009826327,0.000013241174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021994625,0.0006078685,0.00044197697,0.00041004134,0.00046058898,0.0009199353,0.0009552858,0.00088729116,0.0066411127],"category_scores_gemma":[0.000602765,0.00021654117,0.0005036982,0.0005798493,0.00055066857,0.0012327466,0.0003905549,0.0010918805,0.0016626408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004584159,0.000047354843,0.00026043924,0.000082716004,0.000015938325,0.00022273489,0.00009192714,0.81220806,0.004430366,0.16227494,0.0035183064,0.016801436],"study_design_scores_gemma":[0.000003674219,0.000012192857,0.000039155657,0.0000047248864,0.000004587158,0.000030058496,0.000009573979,0.98561794,0.00030802892,0.011516657,0.0024480259,0.0000053354347],"about_ca_topic_score_codex":0.006541725,"about_ca_topic_score_gemma":0.0035720193,"teacher_disagreement_score":0.0066411127,"about_ca_system_score_codex":0.0009368276,"about_ca_system_score_gemma":0.00071687804,"threshold_uncertainty_score":0.022216737},"labels":[],"label_agreement":null},{"id":"W2904097288","doi":"10.3390/en11123434","title":"Impacts of Heat-Conducting Solid Wall and Heat-Generating Element on Free Convection of Al2O3/H2O Nanofluid in a Cavity with Open Border","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; Ministry of Education and Science of the Russian Federation; King Saud University","keywords":"Materials science; Heat transfer; Mechanics; Internal heating; Heat generation; Convection; Natural convection; Thermodynamics; Rayleigh number; Physics","score_opus":0.018943752244831934,"score_gpt":0.26936573676078124,"score_spread":0.2504219845159493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904097288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977627,0.00011868796,0.0012050146,0.000026941783,0.000011850411,0.0000047515223,0.000022052287,0.000024729701,0.0008233633],"genre_scores_gemma":[0.9993081,0.00004437939,0.00041520456,0.000003790824,0.0000023504315,0.0000031509803,0.000009632726,0.0000037974817,0.00020949478],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993825,0.0000073381148,0.000003242516,0.000013712646,0.000017252245,0.00002021282],"domain_scores_gemma":[0.99982774,0.000079701036,0.00004454111,0.000008845347,0.000018545605,0.000020497675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013508381,0.00016249095,0.00020460071,0.00013437479,0.000224786,0.00033924892,0.00017225182,0.00021441742,0.00085598096],"category_scores_gemma":[0.00028041354,0.000110098175,0.00017894793,0.00009161657,0.00051020493,0.00023346907,0.00029191282,0.00018975124,0.000079227146],"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":[0.0005883929,0.00009755896,0.0018445476,0.00021004699,0.000018578909,0.00033253283,0.00020029965,0.05829167,0.9321963,0.0016088813,0.00017824264,0.004432972],"study_design_scores_gemma":[0.00008201647,0.0007929974,0.005729357,0.000032900036,0.00005033333,0.00007963133,0.00019252462,0.37025908,0.62138206,0.00046210337,0.0008990699,0.00003795448],"about_ca_topic_score_codex":0.0012140505,"about_ca_topic_score_gemma":0.00091815036,"teacher_disagreement_score":0.0012140505,"about_ca_system_score_codex":0.00026157187,"about_ca_system_score_gemma":0.000254846,"threshold_uncertainty_score":0.0028635263},"labels":[],"label_agreement":null},{"id":"W2904202855","doi":"10.3390/en11102668","title":"Carbon Dioxide Emissions, Energy Consumption and Economic Growth: A Comparative Empirical Study of Selected Developed and Developing Countries. “The Role of Exergy”","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Exergy; Kuznets curve; Openness to experience; Energy consumption; Gross domestic product; Consumption (sociology); Exergy efficiency; Greenhouse gas; Economics; Panel data; Energy intensity; Environmental science; Econometrics; Environmental economics; Macroeconomics; Engineering; Process engineering; Ecology; Biology","score_opus":0.03357149332227464,"score_gpt":0.24972136773161893,"score_spread":0.2161498744093443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904202855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995587,0.0018867485,0.00018660471,0.00006182458,0.0000048139177,0.000009960991,0.0006455421,0.000002208793,0.0016153143],"genre_scores_gemma":[0.996727,0.0017595832,0.00017547554,0.0000141854525,0.0000066870084,0.00001025774,0.0011049302,0.0000015587779,0.00020029904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997502,0.00008797414,0.000020534666,0.00003846169,0.000043921696,0.000058932226],"domain_scores_gemma":[0.9986975,0.0007261019,0.0003096041,0.000054885284,0.00012234942,0.00008944567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083359046,0.000336335,0.00031165642,0.0029079707,0.00040908653,0.00086658815,0.00016294618,0.00026383204,0.0010814515],"category_scores_gemma":[0.0014665269,0.00016041576,0.00063694204,0.0063166595,0.0005296125,0.0007604934,0.00054136984,0.00033701546,0.00021348456],"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":[0.00012078826,0.00011683821,0.98657507,0.0001188103,0.00018638866,0.0004019822,0.0005969834,0.001221276,0.00016512553,0.000997561,0.00033962567,0.0091595575],"study_design_scores_gemma":[0.0000063794146,0.00009874937,0.99441445,0.00004319421,0.000071578404,0.00019483412,0.0025188425,0.00063183834,0.00018556378,0.00015030436,0.0016772406,0.0000070544893],"about_ca_topic_score_codex":0.011813989,"about_ca_topic_score_gemma":0.014026155,"teacher_disagreement_score":0.011813989,"about_ca_system_score_codex":0.00065048854,"about_ca_system_score_gemma":0.0004712465,"threshold_uncertainty_score":0.023490489},"labels":[],"label_agreement":null},{"id":"W2904919115","doi":"10.3390/en11123470","title":"Initial Comparison of Lithium Battery and High-Temperature Thermal-Turbine Electricity Storage for 100% Wind and Solar Electricity Supply on Prince Edward Island","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Renewable energy; Stand-alone power system; Battery (electricity); Turbine; Energy storage; Thermal energy storage; Electricity; Automotive engineering; Wind power; Environmental science; Process engineering; Distributed generation; Electricity generation; Engineering; Electrical engineering; Power (physics); Mechanical engineering","score_opus":0.010427329644311992,"score_gpt":0.25024773658373156,"score_spread":0.23982040693941958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904919115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98128635,0.00032400314,0.0013701041,0.00013354185,0.000015217506,0.00004251837,0.0003506856,0.00009557569,0.016381972],"genre_scores_gemma":[0.99533373,0.00021241841,0.00051721325,0.000013624442,0.0000019558452,0.000013757645,0.00015846155,0.000012582116,0.0037362387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986565,0.000023245295,0.000009581874,0.000016455251,0.0000612394,0.000023882116],"domain_scores_gemma":[0.9998141,0.000062743144,0.000007706355,0.000015469177,0.00008546334,0.000014554275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027658188,0.00030974436,0.000415703,0.00044014156,0.0004933437,0.0007846484,0.0006790613,0.0004026205,0.0041012787],"category_scores_gemma":[0.00044325396,0.00013124764,0.00031928485,0.0006228809,0.00025469466,0.0008009158,0.00039580662,0.00031486634,0.0004721399],"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":[0.008873656,0.00088521326,0.042286284,0.0031676048,0.00034091578,0.004463385,0.0017057188,0.46942878,0.20390908,0.01588743,0.011477291,0.2375746],"study_design_scores_gemma":[0.00038018904,0.005879062,0.087901026,0.00016389252,0.00032538854,0.0005785049,0.0043636723,0.6149043,0.25414252,0.0026278745,0.028591085,0.00014244391],"about_ca_topic_score_codex":0.01702664,"about_ca_topic_score_gemma":0.039779384,"teacher_disagreement_score":0.98297334,"about_ca_system_score_codex":0.0011157772,"about_ca_system_score_gemma":0.00053962,"threshold_uncertainty_score":0.03385508},"labels":[],"label_agreement":null},{"id":"W2905916867","doi":"10.3390/en12010042","title":"Performance Evaluation of CO2 Huff-n-Puff Gas Injection in Shale Gas Condensate Reservoirs","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"China University of Petroleum, Beijing; China Postdoctoral Science Foundation","keywords":"Oil shale; Dew point; Petroleum engineering; Shale gas; Enhanced oil recovery; Dew; Environmental science; Chemistry; Geology; Waste management; Thermodynamics; Condensation; Engineering","score_opus":0.024975875547833922,"score_gpt":0.2576034757009843,"score_spread":0.23262760015315037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905916867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945791,0.00035253583,0.0039232564,0.00003506523,0.000012283372,0.00001848779,0.00007044144,0.00016884154,0.0008400756],"genre_scores_gemma":[0.9983588,0.0001252399,0.001221727,0.000006049795,0.0000014525796,0.0000073396996,0.000028967128,0.000008802921,0.00024161628],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978393,0.00003106711,0.000015548754,0.000039829378,0.000085115396,0.000044570814],"domain_scores_gemma":[0.9996505,0.00014912356,0.000054665627,0.000028625496,0.00009269824,0.000024328456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053815666,0.00034422122,0.0004153047,0.00036602054,0.0003410924,0.00033467208,0.00046396753,0.00034876913,0.00074849353],"category_scores_gemma":[0.00081063603,0.00019314539,0.00029414103,0.0003119751,0.00030301503,0.0008316094,0.00034960604,0.00024154279,0.00011383143],"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":[0.002774989,0.00030413456,0.014905097,0.00070533104,0.000051665043,0.00046704934,0.0002501726,0.075123504,0.8534634,0.0008043887,0.00037517984,0.050775148],"study_design_scores_gemma":[0.00004032376,0.0013463764,0.006483664,0.000014087394,0.00003211786,0.000061089646,0.00007843617,0.23680978,0.75436234,0.000100611505,0.0006324521,0.000038800215],"about_ca_topic_score_codex":0.002746436,"about_ca_topic_score_gemma":0.002610052,"teacher_disagreement_score":0.002746436,"about_ca_system_score_codex":0.0005124877,"about_ca_system_score_gemma":0.0002893379,"threshold_uncertainty_score":0.0054609776},"labels":[],"label_agreement":null},{"id":"W2906748631","doi":"10.3390/en12010170","title":"Current Control of a Six-Phase Induction Machine Drive Based on Discrete-Time Sliding Mode with Time Delay Estimation","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Control theory (sociology); Stator; Robustness (evolution); Induction motor; Sliding mode control; Controller (irrigation); Robust control; Inner loop; Engineering; Control system; Nonlinear system; Computer science; Control (management); Voltage; Physics","score_opus":0.005192585611863258,"score_gpt":0.22122822529624636,"score_spread":0.2160356396843831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906748631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018804645,0.00032119837,0.97826207,0.00008570776,0.00007640773,0.000041026986,0.000019363277,0.00036397518,0.0020255728],"genre_scores_gemma":[0.9071483,0.00037007176,0.089617506,0.000041112653,0.000054166223,0.00008577753,0.00006763182,0.000024857776,0.0025906416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997793,0.000028378068,0.000019714322,0.000055741795,0.000103447084,0.000013470039],"domain_scores_gemma":[0.9997669,0.00006268449,0.000053400476,0.00003133784,0.00007447561,0.000011255776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038452676,0.00043719518,0.00037028402,0.00021597618,0.00018302265,0.00057735195,0.00064079225,0.00034098624,0.00096611294],"category_scores_gemma":[0.0005558515,0.00013278567,0.00032114403,0.00016393376,0.0003461635,0.00040577218,0.00026417387,0.0005249528,0.0002233235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003821148,0.00017984086,0.0012071336,0.0007492862,0.00012377149,0.000302197,0.00038602957,0.49943683,0.1390792,0.020561803,0.0016722153,0.33591965],"study_design_scores_gemma":[0.000022663442,0.00018443698,0.00032361582,0.000007911272,0.0000171632,0.000045978744,0.000007685079,0.9880557,0.0083976025,0.00072824705,0.0022012906,0.000007674914],"about_ca_topic_score_codex":0.001094896,"about_ca_topic_score_gemma":0.0008490951,"teacher_disagreement_score":0.001094896,"about_ca_system_score_codex":0.0002463533,"about_ca_system_score_gemma":0.00030052094,"threshold_uncertainty_score":0.0032319427},"labels":[],"label_agreement":null},{"id":"W2906865296","doi":"10.3390/en12010149","title":"Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"United Arab Emirates University","keywords":"Computer science; Deep learning; Artificial intelligence; Autocorrelation; Benchmark (surveying); Recurrent neural network; Artificial neural network; Time series; Boosting (machine learning); Autoregressive integrated moving average; Machine learning; Sequence (biology); Autoregressive model; Sequence learning; Term (time); Econometrics; Mathematics; Statistics","score_opus":0.03839637829722571,"score_gpt":0.22422530752158232,"score_spread":0.18582892922435662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906865296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16207561,0.002480719,0.8279461,0.00069317746,0.00020440292,0.000028636741,0.00052815065,0.0014388929,0.004604227],"genre_scores_gemma":[0.9570659,0.00069378817,0.037574314,0.00008596657,0.000049326918,0.000037705846,0.0004046545,0.00003875955,0.0040495447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998777,0.000022937145,0.0000102013655,0.00003566234,0.000029535331,0.00002386881],"domain_scores_gemma":[0.9997968,0.00009605694,0.000030947333,0.000018513489,0.00004613299,0.000011486607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046260047,0.0005936986,0.00046021023,0.0004324179,0.0001793661,0.0005173647,0.00079967466,0.0007086057,0.001661545],"category_scores_gemma":[0.0009493772,0.00031191146,0.00045476458,0.00064113736,0.00022176522,0.0011982813,0.00047754875,0.0011834792,0.00032459025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005462938,0.00005488092,0.0010987538,0.000049575818,0.000039167386,0.000052133637,0.000023865672,0.9311953,0.0022172374,0.0037814102,0.0010154318,0.060417548],"study_design_scores_gemma":[7.082981e-7,0.0000048974234,0.00008793737,0.0000017206877,0.000002202416,0.0000028830693,0.0000014740044,0.99866736,0.00021365553,0.0009130603,0.00010252966,0.0000015929278],"about_ca_topic_score_codex":0.007740529,"about_ca_topic_score_gemma":0.010007867,"teacher_disagreement_score":0.007740529,"about_ca_system_score_codex":0.00057405635,"about_ca_system_score_gemma":0.0005481693,"threshold_uncertainty_score":0.015390933},"labels":[],"label_agreement":null},{"id":"W2908642146","doi":"10.3390/en12020285","title":"Trombe Wall Utilization for Cold and Hot Climate Conditions","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Cold winter; Meteorology; Cold climate; Cooling load; Winter season; Passive solar building design; Heat transfer; Thermal energy storage; Heat load; Environmental engineering; Marine engineering; Nuclear engineering; Engineering; Mechanical engineering; Mechanics; Climatology; Thermodynamics; Thermal; Air conditioning; Geography; Geology; Physics","score_opus":0.014459706596775273,"score_gpt":0.2221624288982971,"score_spread":0.2077027223015218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908642146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8323096,0.0019510242,0.13737102,0.00016559522,0.00028990646,0.00014603027,0.0002558379,0.001452103,0.026058936],"genre_scores_gemma":[0.97607046,0.0003557744,0.015721437,0.000034137844,0.00002605259,0.000061739236,0.00018015038,0.00006634344,0.0074839154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988294,0.0000139224,0.000006422013,0.000026921078,0.000032896685,0.00003683242],"domain_scores_gemma":[0.99990106,0.000012897094,0.000021835875,0.000023283457,0.000029822999,0.000011129723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093156676,0.0005161591,0.0004459471,0.0004532039,0.00038490366,0.00058693095,0.00059349823,0.0003907776,0.0048253345],"category_scores_gemma":[0.00018897178,0.00020424307,0.0006278923,0.00036642535,0.00012700816,0.0006347168,0.0004730057,0.0002488716,0.0013454951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072970596,0.00013602489,0.007489054,0.0007339882,0.0000729604,0.00091275765,0.00024120678,0.018274292,0.83671707,0.0028876276,0.0024329703,0.12937237],"study_design_scores_gemma":[0.0001042228,0.0018402219,0.048009925,0.00015481524,0.00037411466,0.0022190572,0.00060304493,0.14594945,0.7191742,0.0013499408,0.08004161,0.00017937057],"about_ca_topic_score_codex":0.0005266997,"about_ca_topic_score_gemma":0.0017129969,"teacher_disagreement_score":0.0048253345,"about_ca_system_score_codex":0.00015401405,"about_ca_system_score_gemma":0.00021686038,"threshold_uncertainty_score":0.016142309},"labels":[],"label_agreement":null},{"id":"W2909261647","doi":"10.3390/en12020284","title":"Liquid-Phase Hydrogenation of Maleic Acid over Pd/Al2O3 Catalysts Prepared via Deposition–Precipitation Method","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Korea Institute of Industrial Technology","keywords":"Catalysis; Selectivity; Dispersion (optics); Maleic acid; Chemistry; Fumaric acid; Succinic acid; Phase (matter); Precipitation; Hydrogen; Maleic anhydride; Inorganic chemistry; Succinic anhydride; Chemical engineering; Materials science; Organic chemistry; Polymer; Copolymer","score_opus":0.004223093978233857,"score_gpt":0.2420331305884995,"score_spread":0.23781003661026565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909261647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852223,0.0014672489,0.010155512,0.000077593875,0.000041524934,0.00004039859,0.00020214383,0.0001432906,0.0026499222],"genre_scores_gemma":[0.9952604,0.0005520875,0.0030266948,0.000016992652,0.0000069109456,0.000012013484,0.00011232993,0.000014784139,0.0009978785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988973,0.000009722213,0.000010909982,0.000025083827,0.00004500172,0.000019480218],"domain_scores_gemma":[0.99996233,0.0000061392125,0.000012638638,0.0000044638045,0.000009461579,0.0000050158665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009877139,0.0002577394,0.00024278638,0.0002198781,0.00011848174,0.00016957965,0.00026612345,0.0002156147,0.0006543274],"category_scores_gemma":[0.00011257376,0.00014812773,0.00021411241,0.00022106139,0.000116656294,0.0001902654,0.00016781763,0.0003896893,0.00027001795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044105785,0.000013770801,0.00009846237,0.00005113088,0.0000051601564,0.000033316235,0.000007874566,0.00008743547,0.9979286,0.00004453038,0.000023236888,0.0016623482],"study_design_scores_gemma":[0.00000349017,0.000031442105,0.00031267965,0.0000010226878,0.0000040744685,0.00002687209,0.000004089156,0.0006111375,0.9985318,0.000008089999,0.0004640398,0.0000012784927],"about_ca_topic_score_codex":0.00057767367,"about_ca_topic_score_gemma":0.0012969262,"teacher_disagreement_score":0.0006543274,"about_ca_system_score_codex":0.00018466568,"about_ca_system_score_gemma":0.00013171088,"threshold_uncertainty_score":0.0021889806},"labels":[],"label_agreement":null},{"id":"W2909522645","doi":"10.3390/en12020282","title":"Emerging Advances in Petrophysics: Porous Media Characterization and Modeling of Multiphase Flow","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"King Abdullah University of Science and Technology; National Natural Science Foundation of China","keywords":"Petrophysics; Porous medium; Multiphase flow; Petroleum engineering; Characterization (materials science); Flow (mathematics); Reservoir modeling; Enhanced oil recovery; Fractal; Porosity; Geology; Computer science; Materials science; Nanotechnology; Geotechnical engineering; Mechanics; Mathematics; Physics","score_opus":0.004309493844180718,"score_gpt":0.20215220443627693,"score_spread":0.1978427105920962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909522645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034388185,0.049139947,0.9032344,0.0027650765,0.00053523,0.00005121855,0.0006013206,0.00077674945,0.008507829],"genre_scores_gemma":[0.50862414,0.10311861,0.3778047,0.00049883086,0.0014448196,0.00017724995,0.0014864746,0.00037469354,0.006470559],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996543,0.000075013006,0.00002527078,0.00007400584,0.0001454893,0.000025913962],"domain_scores_gemma":[0.99904746,0.00049836835,0.00009446547,0.00014152938,0.00016885946,0.000049322563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081570557,0.0007368189,0.0009228715,0.0012891018,0.00027753305,0.0019335818,0.0010155927,0.0012988811,0.0014588278],"category_scores_gemma":[0.0014596983,0.00036345545,0.0007379776,0.0019242046,0.0011126868,0.0027099508,0.0012865989,0.0012402902,0.0005403818],"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":[0.00011983354,0.00031342136,0.009181186,0.0029594512,0.0002547201,0.0003929936,0.00033016497,0.25676584,0.069723494,0.15345576,0.00951373,0.49698937],"study_design_scores_gemma":[0.00001179457,0.00007444786,0.0039112153,0.00017077482,0.000035675122,0.0003497458,0.00010606705,0.8565098,0.019036707,0.07157635,0.04814388,0.00007352306],"about_ca_topic_score_codex":0.0012006338,"about_ca_topic_score_gemma":0.0010868313,"teacher_disagreement_score":0.0019335818,"about_ca_system_score_codex":0.0004952,"about_ca_system_score_gemma":0.0007405127,"threshold_uncertainty_score":0.0048802495},"labels":[],"label_agreement":null},{"id":"W2910062001","doi":"10.3390/en12020218","title":"Daily Natural Gas Load Forecasting Based on a Hybrid Deep Learning Model","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Science and Technology Major Project; China Scholarship Council; National Natural Science Foundation of China","keywords":"Principal component analysis; Support vector machine; Natural gas; Artificial neural network; Computer science; Artificial intelligence; Principal component regression; Component (thermodynamics); Extreme learning machine; Machine learning; Regression; Data mining; Statistics; Mathematics; Engineering","score_opus":0.00860401458586983,"score_gpt":0.1847411509908789,"score_spread":0.17613713640500908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910062001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42165962,0.0010618974,0.5622685,0.0008872781,0.00021505698,0.0000700595,0.000657749,0.002276251,0.010903653],"genre_scores_gemma":[0.9800685,0.0001668078,0.015932994,0.00010419181,0.00002621152,0.000048674283,0.00027383087,0.00001800047,0.0033608838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998473,0.000022280283,0.00001051137,0.00005441671,0.000035527577,0.000029921273],"domain_scores_gemma":[0.9997949,0.00007797467,0.000020750285,0.000013180303,0.00008061373,0.000012714528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000394425,0.00057919807,0.00053469103,0.000427553,0.00022410013,0.0006681083,0.00083160744,0.0006762033,0.001250369],"category_scores_gemma":[0.00062163983,0.00029226116,0.0005341055,0.00047238747,0.00024629646,0.00079337903,0.00046165907,0.00078794634,0.00022513219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007192751,0.00007440647,0.0018724239,0.000028153094,0.000043496544,0.0000488669,0.000021671676,0.9570269,0.0017469071,0.00084363087,0.00066193007,0.03755973],"study_design_scores_gemma":[0.0000010620117,0.000004628518,0.00008711013,7.803231e-7,0.0000018479064,0.0000016312897,9.140981e-7,0.99966526,0.0000979257,0.00010405951,0.000033466324,0.0000012814023],"about_ca_topic_score_codex":0.021502677,"about_ca_topic_score_gemma":0.018288262,"teacher_disagreement_score":0.021502677,"about_ca_system_score_codex":0.0007382122,"about_ca_system_score_gemma":0.0008228488,"threshold_uncertainty_score":0.042755008},"labels":[],"label_agreement":null},{"id":"W2911842319","doi":"10.3390/en12040645","title":"Effect of Hydrogen Refueling Parameters on Final State of Charge","year":2019,"lang":"en","type":"article","venue":"Energies","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":"Université du Québec à Trois-Rivières","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Hydrogen; Hydrogen storage; Equation of state; Thermodynamics; Compressed hydrogen; Differential equation; Chemistry; Analytical Chemistry (journal); Materials science; Physics; Mathematics; Mathematical analysis; Chromatography","score_opus":0.010398397440165586,"score_gpt":0.23331095963446616,"score_spread":0.22291256219430058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911842319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907246,0.0022595646,0.0022868626,0.00014219704,0.000141573,0.00003242145,0.00051292457,0.00023016192,0.0036696997],"genre_scores_gemma":[0.99659985,0.00074097596,0.0009711558,0.00008096674,0.000010480107,0.000016152968,0.00030863576,0.00006769859,0.0012041572],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996043,0.000028327624,0.000033332006,0.00008206185,0.00011926853,0.0001327163],"domain_scores_gemma":[0.99916863,0.00038499193,0.000084999934,0.00007219755,0.00022026437,0.00006896488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057893095,0.0005164923,0.0004852529,0.00037263022,0.0002873498,0.00094416464,0.00052582286,0.00040923926,0.004094312],"category_scores_gemma":[0.0023079123,0.00020013517,0.0003319536,0.0005599521,0.00031020184,0.001438549,0.0003970435,0.000838227,0.00076714583],"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":[0.004260422,0.00044079954,0.0030851448,0.00069419463,0.0000650805,0.0007174794,0.00041702273,0.009511556,0.9299639,0.00086823496,0.0014005555,0.04857564],"study_design_scores_gemma":[0.000020986847,0.00061118614,0.0025936053,0.0000236529,0.000022803742,0.00005187616,0.0002214167,0.005787878,0.9874334,0.00014183027,0.0030534999,0.00003791011],"about_ca_topic_score_codex":0.0012263072,"about_ca_topic_score_gemma":0.0010178161,"teacher_disagreement_score":0.004094312,"about_ca_system_score_codex":0.00038905288,"about_ca_system_score_gemma":0.0002993528,"threshold_uncertainty_score":0.01369679},"labels":[],"label_agreement":null},{"id":"W2912629316","doi":"10.3390/en12030368","title":"Regeneration of Transformer Insulating Fluids Using Membrane Separation Technology","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Membrane; Transformer oil; Materials science; Filtration (mathematics); Membrane technology; Chromatography; Fourier transform infrared spectroscopy; Chemical engineering; Chemistry; Transformer","score_opus":0.008559501827966696,"score_gpt":0.23086771585056384,"score_spread":0.22230821402259715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912629316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.787662,0.00986634,0.19671315,0.00039353964,0.00019623376,0.00012884378,0.0001665824,0.0006329119,0.0042402763],"genre_scores_gemma":[0.95182824,0.0029900258,0.041644756,0.00009584164,0.000029828938,0.000030408502,0.000111993504,0.000033419063,0.0032353357],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998041,0.000030129633,0.000016026668,0.00003660227,0.000083647865,0.000029547156],"domain_scores_gemma":[0.999902,0.00001576625,0.00002762968,0.000009650849,0.000036488225,0.000008429292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024244355,0.00033559784,0.00029325063,0.00049924065,0.0003132528,0.0004493463,0.00034897085,0.0004212959,0.0005616741],"category_scores_gemma":[0.00022599306,0.00011359288,0.00039171957,0.00029096476,0.00023110196,0.0009354276,0.0003510823,0.00044843784,0.00046762908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036895053,0.000019051648,0.00019197052,0.00012043779,0.000005403606,0.00008722526,0.000029421193,0.00016045963,0.9864689,0.00024381246,0.000063253916,0.012573093],"study_design_scores_gemma":[0.0000036681213,0.000085575,0.00035584727,0.0000064450387,0.000009109128,0.00022418865,0.000021546228,0.0015713397,0.9945695,0.000074782554,0.003072757,0.000005256642],"about_ca_topic_score_codex":0.0005587432,"about_ca_topic_score_gemma":0.0007378918,"teacher_disagreement_score":0.0005616741,"about_ca_system_score_codex":0.0003470074,"about_ca_system_score_gemma":0.00028898337,"threshold_uncertainty_score":0.0025177002},"labels":[],"label_agreement":null},{"id":"W2913095358","doi":"10.3390/en12030404","title":"Hydrogeochemical and Isotopic Constraints on the Pattern of a Deep Circulation Groundwater Flow System","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Groundwater recharge; Groundwater; Geology; Groundwater flow; Groundwater discharge; Depression-focused recharge; Aquifer; Hydrology (agriculture); Geothermal gradient; Hydrogeology; Geochemistry; Groundwater model; Subsurface flow; Geophysics; Geotechnical engineering","score_opus":0.006004555841788514,"score_gpt":0.16418592610438967,"score_spread":0.15818137026260115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913095358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990103,0.000052674062,0.00047494133,0.000009014977,9.911024e-7,0.0000028266534,0.00008967717,0.0000072321686,0.00035233184],"genre_scores_gemma":[0.99927264,0.000030247284,0.0005014229,0.000004695927,0.0000013991017,0.0000025713182,0.000091228154,0.0000013587305,0.000094486764],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994576,0.0000048940874,0.000002988573,0.000019926016,0.000010739207,0.000015707074],"domain_scores_gemma":[0.9999052,0.000010812195,0.000028999384,0.0000051434213,0.000027162085,0.000022723661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000075797354,0.00011253502,0.00014101816,0.00074700644,0.00015198055,0.00026205712,0.00014132251,0.0001803553,0.00039595377],"category_scores_gemma":[0.00013959574,0.00016162006,0.00008238804,0.0004766431,0.00029971774,0.0002265672,0.00018528421,0.00010095245,0.000057670288],"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":[0.00019292043,0.000045273136,0.24536389,0.000034374192,0.000020809452,0.00014273166,0.00016536175,0.00092872087,0.7416413,0.00047519742,0.000067877656,0.010921623],"study_design_scores_gemma":[0.0000136814515,0.000109193104,0.9654298,0.000004487984,0.000018455989,0.00013376781,0.00021608795,0.009223697,0.023772398,0.0004148202,0.00064601895,0.000017580905],"about_ca_topic_score_codex":0.0071213883,"about_ca_topic_score_gemma":0.009961819,"teacher_disagreement_score":0.0071213883,"about_ca_system_score_codex":0.0002994884,"about_ca_system_score_gemma":0.00025230096,"threshold_uncertainty_score":0.014159858},"labels":[],"label_agreement":null},{"id":"W2913218457","doi":"10.3390/en12040656","title":"Application of Borehole Thermal Energy Storage in Waste Heat Recovery from Diesel Generators in Remote Cold Climate Locations","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":20,"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 British Columbia","funders":"","keywords":"Waste heat; Environmental science; Thermal energy storage; Thermal energy; Waste heat recovery unit; Diesel fuel; Heat recovery ventilation; Energy recovery; Waste management; Engineering; Heat exchanger; Mechanical engineering; Energy (signal processing)","score_opus":0.006558255987942348,"score_gpt":0.2054831869819803,"score_spread":0.19892493099403794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913218457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976597,0.00014706062,0.02003576,0.000112446134,0.00001807989,0.00003994148,0.000051117604,0.00016398633,0.0028346342],"genre_scores_gemma":[0.9980902,0.000031747393,0.0016320526,0.0000025077168,8.1300533e-7,0.00000400515,0.0000089550285,0.0000020758323,0.00022758718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999367,0.000014789911,0.00000390733,0.000011641373,0.00001513536,0.000017845687],"domain_scores_gemma":[0.99990153,0.00003502587,0.000016377702,0.000013727636,0.000019898018,0.000013506395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014962182,0.00026831395,0.00024045848,0.00018164433,0.00038263644,0.00035156475,0.0005126836,0.00034131735,0.0009141484],"category_scores_gemma":[0.00025725257,0.00013784732,0.00029700776,0.00020754503,0.00036952956,0.00046756087,0.0004447705,0.00017815967,0.00007520811],"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":[0.001002672,0.00045553772,0.015744941,0.00030251747,0.000053424785,0.0011700789,0.00038652282,0.58927053,0.32162708,0.0030799496,0.0006776064,0.06622929],"study_design_scores_gemma":[0.00008361491,0.00092450326,0.0086220205,0.00002315443,0.00004060665,0.00020448462,0.0004961559,0.8824366,0.10468889,0.0008282536,0.0016051184,0.000046613863],"about_ca_topic_score_codex":0.011947142,"about_ca_topic_score_gemma":0.018844875,"teacher_disagreement_score":0.011947142,"about_ca_system_score_codex":0.0005648405,"about_ca_system_score_gemma":0.0006662799,"threshold_uncertainty_score":0.023755252},"labels":[],"label_agreement":null},{"id":"W2913436408","doi":"10.3390/en12030530","title":"Seed Pretreatment for Increased Hydrogen Production Using Mixed-Culture Systems with Advantages over Pure-Culture Systems","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre de Recherche Industrielle du Québec; York University; Institut National de la Recherche Scientifique","funders":"Mitacs","keywords":"Hydrogen production; Energy carrier; Bioconversion; Sterilization (economics); Pulp and paper industry; Hydrogen; Process engineering; Biohydrogen; Fermentative hydrogen production; Chemistry; Aeration; Biochemical engineering; Environmental science; Waste management; Biotechnology; Food science; Fermentation; Business; Engineering; Organic chemistry; Biology","score_opus":0.005630060436214008,"score_gpt":0.19874763185564423,"score_spread":0.19311757141943023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913436408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6775011,0.14335409,0.15522368,0.00075131253,0.0010047337,0.0005245364,0.0020052136,0.0013632766,0.018272102],"genre_scores_gemma":[0.8529984,0.051969122,0.081216894,0.000333407,0.00016125337,0.00024833548,0.002303285,0.0002427346,0.01052654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974614,0.00003626566,0.000024441113,0.00006892707,0.0001009116,0.00002334036],"domain_scores_gemma":[0.9998996,0.000023901155,0.000021940003,0.000011744108,0.000030242545,0.000012523208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027526706,0.00053098606,0.0005781275,0.00045878495,0.00018140115,0.0006420699,0.00031699552,0.00038711855,0.0016084741],"category_scores_gemma":[0.0002470453,0.00027110628,0.0006965871,0.0005091065,0.00011252611,0.0005513962,0.0004732113,0.0006717767,0.0012035307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006143777,0.000042350057,0.0002243615,0.00081904384,0.000027093698,0.00011712132,0.000023048462,0.00015992245,0.98247176,0.00017139886,0.00017000941,0.015712433],"study_design_scores_gemma":[0.000014116318,0.00041659508,0.0026370806,0.000069392365,0.00014063195,0.00035225094,0.000052372212,0.001230706,0.97077763,0.00016075582,0.024128212,0.000020209973],"about_ca_topic_score_codex":0.0004422244,"about_ca_topic_score_gemma":0.0012554216,"teacher_disagreement_score":0.0016084741,"about_ca_system_score_codex":0.00022291571,"about_ca_system_score_gemma":0.00024738003,"threshold_uncertainty_score":0.0053808093},"labels":[],"label_agreement":null},{"id":"W2913570509","doi":"10.3390/en12030336","title":"Decaying Swirl Flow and Particle Behavior through the Hole Cleaning Device for Horizontal Drilling of Fossil Fuel","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Mechanics; Annulus (botany); Laminar flow; Flow (mathematics); Materials science; Particle (ecology); Drilling; Intensity (physics); Multiphase flow; Volumetric flow rate; Flow conditioning; Flow velocity; Mass flow; Particle deposition; Geology; Physics; Turbulence; Composite material; Reynolds number; Optics","score_opus":0.012543251082072519,"score_gpt":0.22260863552284516,"score_spread":0.21006538444077263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913570509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624186,0.00033760327,0.036566675,0.00005504065,0.00001666629,0.000013581927,0.000021666716,0.00010267123,0.00046751194],"genre_scores_gemma":[0.99342346,0.00011616987,0.006106023,0.000007897373,0.0000019589993,0.000005023142,0.000018556839,0.000005741879,0.0003150151],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992955,0.000009876405,0.0000035755131,0.000013102192,0.000032597563,0.000011319068],"domain_scores_gemma":[0.9998523,0.00006331701,0.000032499345,0.000016005964,0.000027172797,0.000008605822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018621121,0.00015950807,0.00016449385,0.000180516,0.00017413174,0.00019991335,0.00019538535,0.00027013847,0.0002992207],"category_scores_gemma":[0.0004204135,0.000103166734,0.00017514835,0.0001129346,0.00024920068,0.00040220984,0.00014634404,0.00018897053,0.000055235465],"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":[0.00032929447,0.00009751338,0.0070529515,0.00020194128,0.000009061771,0.00020551847,0.0002522485,0.018776005,0.92717534,0.0015448544,0.00021310338,0.044142116],"study_design_scores_gemma":[0.000026179077,0.00058728404,0.012082922,0.000014967574,0.000016033624,0.00014490084,0.00015421998,0.31893334,0.66626406,0.00054371124,0.0011916428,0.000040770567],"about_ca_topic_score_codex":0.0008578872,"about_ca_topic_score_gemma":0.00093853934,"teacher_disagreement_score":0.0008578872,"about_ca_system_score_codex":0.00023967314,"about_ca_system_score_gemma":0.00016756245,"threshold_uncertainty_score":0.0017389655},"labels":[],"label_agreement":null},{"id":"W2913972801","doi":"10.3390/en12030372","title":"Mechanisms and Influence of Casing Shear Deformation near the Casing Shoe, Based on MFC Surveys during Multistage Fracturing in Shale Gas Wells in Canada","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Casing; Slipping; Slip (aerodynamics); Geology; Finite element method; Shear (geology); Deformation (meteorology); Geotechnical engineering; Mechanics; Petroleum engineering; Materials science; Structural engineering; Engineering; Composite material; Petrology","score_opus":0.0025247519727348254,"score_gpt":0.15455448778411715,"score_spread":0.15202973581138232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913972801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994593,0.00003244478,0.00013532872,0.000012548627,0.0000017383164,0.000006504904,0.00006958669,0.000012334606,0.00027005863],"genre_scores_gemma":[0.99969697,0.000024724557,0.00010492901,0.0000026395808,7.306743e-7,0.0000023408618,0.00003857668,0.0000015742188,0.00012769013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975115,0.000011561992,0.000016556893,0.00006440698,0.00010325337,0.00005315438],"domain_scores_gemma":[0.99968064,0.000062873245,0.00007066474,0.00001636453,0.00012371571,0.00004582719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002353184,0.00046975698,0.00047309903,0.0018203373,0.0010595956,0.0006412465,0.0005957244,0.0006412153,0.0005431059],"category_scores_gemma":[0.00069123413,0.000376009,0.0005241358,0.0008735475,0.0006611642,0.00036029075,0.00042270264,0.00022678873,0.00009230259],"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":[0.0004118973,0.00015404663,0.88482827,0.00014314264,0.00011729168,0.0026422876,0.0021531088,0.027803237,0.064197466,0.00027471108,0.00041847193,0.016856067],"study_design_scores_gemma":[0.000008078589,0.00005770626,0.97215706,0.000011911881,0.000041657397,0.000098672805,0.0010244881,0.022560373,0.0037612421,0.000043724493,0.00020348976,0.000031661824],"about_ca_topic_score_codex":0.30863205,"about_ca_topic_score_gemma":0.42238837,"teacher_disagreement_score":0.691368,"about_ca_system_score_codex":0.0018201381,"about_ca_system_score_gemma":0.0013962374,"threshold_uncertainty_score":0.6136712},"labels":[],"label_agreement":null},{"id":"W2915009767","doi":"10.3390/en12040601","title":"Integrated Planning for Regional Electric Power System Management with Risk Measure and Carbon Emission Constraints: A Case Study of the Xinjiang Uygur Autonomous Region, China","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Hydropower; Greenhouse gas; Environmental economics; Electric power; Electricity generation; Electric power system; Reduction (mathematics); Electric power industry; Electricity; Synchronism; Environmental science; Carbon fibers; Natural resource economics; Computer science; Power (physics); Engineering; Economics; Electrical engineering; Mathematics","score_opus":0.00537039959878171,"score_gpt":0.17991409809949468,"score_spread":0.17454369850071297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915009767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9617342,0.00027755302,0.026734026,0.00039599938,0.000014339493,0.00024927832,0.00021145894,0.000100498895,0.010282674],"genre_scores_gemma":[0.9931258,0.0001197351,0.004710801,0.000010532373,0.0000033252295,0.000053761254,0.00006663537,0.000009395485,0.0019000485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943525,0.000272091,0.000017737013,0.0000661388,0.00006364462,0.00014512904],"domain_scores_gemma":[0.9995105,0.00025202395,0.000053372427,0.000027570886,0.00006629687,0.00009023952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010121719,0.000821892,0.00050544785,0.0006742518,0.0012064714,0.0013843469,0.0009837197,0.0010878687,0.0020473816],"category_scores_gemma":[0.001034349,0.00043515448,0.0007331528,0.0011395459,0.00082138815,0.00078420027,0.00077663816,0.0005340376,0.00008691455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007706952,0.000121263896,0.00490672,0.000041967356,0.00004344622,0.0013202563,0.00019021246,0.9802643,0.00067915383,0.004173879,0.00031689217,0.007864773],"study_design_scores_gemma":[0.00005832006,0.0002017346,0.0049240906,0.000012582359,0.000057479334,0.00010413821,0.0008969125,0.98859173,0.00078562426,0.0030952585,0.0012476224,0.000024554189],"about_ca_topic_score_codex":0.11422948,"about_ca_topic_score_gemma":0.11148536,"teacher_disagreement_score":0.11422948,"about_ca_system_score_codex":0.0042831455,"about_ca_system_score_gemma":0.0046211933,"threshold_uncertainty_score":0.22712916},"labels":[],"label_agreement":null},{"id":"W2916569676","doi":"10.3390/en12050811","title":"Designing a Large-Scale Lake Cooling System for an Ultra-Deep Mine: A Canadian Case Study","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"British Columbia Institute of Technology; McGill University; University of British Columbia","funders":"","keywords":"Carbon footprint; Mining engineering; Underground mining (soft rock); Exploit; Footprint; Environmental science; Engineering; Greenhouse gas; Geology; Coal mining; Waste management; Computer science; Coal","score_opus":0.01477925194632622,"score_gpt":0.2398148435425152,"score_spread":0.22503559159618897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916569676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415108,0.00022070613,0.027520064,0.00034935324,0.000034862183,0.00069770997,0.0006351134,0.00033049486,0.028700873],"genre_scores_gemma":[0.9699662,0.00012733071,0.015442014,0.0000339968,0.0000030397193,0.00008789461,0.00016475948,0.000047328933,0.014127466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996331,0.0000445833,0.000008791876,0.000045570887,0.00014047803,0.00012742286],"domain_scores_gemma":[0.9997936,0.00003180837,0.000011457796,0.000012593304,0.000104184786,0.00004642023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028263137,0.00055287586,0.000336385,0.00036406558,0.0018712459,0.0010524978,0.0011646765,0.00079174765,0.004359469],"category_scores_gemma":[0.00044393458,0.00027628406,0.00041929338,0.000518797,0.0009461038,0.00049970386,0.00059362553,0.00044159815,0.0004217101],"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":[0.001370104,0.00071193976,0.024205506,0.001624518,0.000099915655,0.006732666,0.0041605346,0.62277114,0.20272267,0.0112639,0.011624344,0.1127128],"study_design_scores_gemma":[0.0005841728,0.0030755058,0.07019767,0.00018612383,0.00025812953,0.0013422883,0.010212635,0.6796636,0.113676235,0.002388778,0.11812525,0.00028952508],"about_ca_topic_score_codex":0.5102255,"about_ca_topic_score_gemma":0.7113434,"teacher_disagreement_score":0.48977453,"about_ca_system_score_codex":0.0062678736,"about_ca_system_score_gemma":0.005781957,"threshold_uncertainty_score":0.9853178},"labels":[],"label_agreement":null},{"id":"W2917937200","doi":"10.3390/en12050796","title":"Heat Transfer at the Interface of Graphene Nanoribbons with Different Relative Orientations and Gaps","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Thermal properties of materials","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Horizon 2020 Framework Programme; European Commission; Politecnico di Torino","keywords":"Materials science; Thermal conductivity; Graphene; Percolation (cognitive psychology); Heat transfer; Thermal resistance; Thermal; Composite number; Composite material; Graphene nanoribbons; Molecular dynamics; Carbon nanotube; Electrical conductor; Thermal conduction; Percolation threshold; Interfacial thermal resistance; Thermal transfer; Displacement (psychology); Heat transfer enhancement; Nanotechnology; Mechanics; Heat transfer coefficient; Electrical resistivity and conductivity; Thermodynamics; Layer (electronics); Chemistry; Physics","score_opus":0.00908862070106694,"score_gpt":0.23051386146462555,"score_spread":0.2214252407635586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917937200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919646,0.0002603686,0.0031669578,0.000057889578,0.000025347166,0.000008108258,0.00007325623,0.000118120755,0.0043254127],"genre_scores_gemma":[0.99859244,0.000062603576,0.0008977419,0.0000069991324,0.0000020290292,0.000006582072,0.00003078191,0.000015699301,0.0003851001],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999269,0.000008670202,0.0000022785339,0.000014001227,0.000018453231,0.000029659202],"domain_scores_gemma":[0.99992085,0.000036452253,0.000013188628,0.00000884256,0.000009554781,0.0000110435185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100782876,0.0003515095,0.00021149218,0.0003249525,0.00030809504,0.0003880635,0.0002756978,0.00031865353,0.0019720402],"category_scores_gemma":[0.00034150042,0.000153109,0.00024534983,0.00021521971,0.0003251096,0.00042591908,0.00025292547,0.00022294182,0.00020037155],"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":[0.00043386203,0.0001417524,0.0012543037,0.0002729833,0.00004756949,0.00047648646,0.00027008873,0.08120143,0.895677,0.011234003,0.00061011413,0.0083804075],"study_design_scores_gemma":[0.00009009545,0.00040149738,0.0027297763,0.000031201966,0.000034601384,0.0001133718,0.00017031317,0.44637808,0.5439038,0.00443319,0.0016635559,0.000050478902],"about_ca_topic_score_codex":0.0010032973,"about_ca_topic_score_gemma":0.00092137215,"teacher_disagreement_score":0.0019720402,"about_ca_system_score_codex":0.00041535022,"about_ca_system_score_gemma":0.00015249633,"threshold_uncertainty_score":0.0065971613},"labels":[],"label_agreement":null},{"id":"W2918996554","doi":"10.3390/en12050888","title":"Numerical Investigation of the Impacts of Borehole Breakouts on Breakdown Pressure","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Borehole; Breakout; Geology; Geotechnical engineering; Drilling; Stress (linguistics); Seismology; Materials science","score_opus":0.00596889255581972,"score_gpt":0.18771648686456208,"score_spread":0.18174759430874235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918996554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895163,0.00013620063,0.0054652942,0.0001223551,0.000024948313,0.000020383513,0.00018333043,0.00010045026,0.004430825],"genre_scores_gemma":[0.99869615,0.000029908892,0.0010282918,0.000006061208,0.0000020416828,0.000006940996,0.000033548,0.0000046904433,0.00019237393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997857,0.00004586528,0.00001531178,0.00003031371,0.000052237025,0.00007068377],"domain_scores_gemma":[0.997835,0.0014912034,0.00025752775,0.00008974652,0.00021237075,0.00011426962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046814574,0.00041234013,0.00045468615,0.0006123964,0.00050184043,0.0006304901,0.00048779717,0.0011010398,0.0017011475],"category_scores_gemma":[0.002916829,0.00026669164,0.00042819153,0.00049437035,0.0008273634,0.00056553545,0.00045076548,0.0006415359,0.00008622639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023143199,0.00015828761,0.013883344,0.00010578908,0.000030709285,0.0003970421,0.000094728566,0.97170156,0.007526661,0.0014028737,0.0003301156,0.004137556],"study_design_scores_gemma":[0.000011354867,0.00008571034,0.0032370968,0.000007910579,0.000009580222,0.000030501447,0.00008718238,0.99480575,0.0014770342,0.00015134351,0.000087155946,0.0000094140805],"about_ca_topic_score_codex":0.010428824,"about_ca_topic_score_gemma":0.0059375535,"teacher_disagreement_score":0.010428824,"about_ca_system_score_codex":0.00048963,"about_ca_system_score_gemma":0.00043571382,"threshold_uncertainty_score":0.020736217},"labels":[],"label_agreement":null},{"id":"W2919005432","doi":"10.3390/en12183575","title":"Economic Impact of Energy Consumption Change Caused by Global Warming","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Association of Professional Engineers and Geoscientists of Manitoba","funders":"University of Warwick","keywords":"Global warming; Energy consumption; Economics; Natural resource economics; Climate change; Economic impact analysis; Consumption (sociology); Greenhouse gas; Empirical research; Environmental science; Econometrics; Statistics; Mathematics; Engineering; Microeconomics; Ecology","score_opus":0.015618187368666568,"score_gpt":0.25798927528533194,"score_spread":0.24237108791666537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919005432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9385166,0.00094470405,0.0047564693,0.0031730623,0.00021658452,0.000039362327,0.0016328798,0.000062714484,0.05065752],"genre_scores_gemma":[0.99772316,0.0004827117,0.0003667375,0.000105267645,0.000029191291,0.00001222498,0.00047338288,0.000010563223,0.0007967125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99874014,0.0005179905,0.000038449223,0.000085150285,0.00037991293,0.00023835825],"domain_scores_gemma":[0.99758494,0.0013250391,0.000370909,0.00016281405,0.00047342226,0.0000828285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701406,0.00052541075,0.00034695942,0.0011249547,0.000343328,0.001682779,0.00048418515,0.000603115,0.0029687847],"category_scores_gemma":[0.0064763054,0.00013632709,0.0010935054,0.0013971473,0.00080889906,0.0017042187,0.0011510842,0.00072888524,0.00028523552],"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":[0.0011289612,0.000272294,0.41799197,0.0003450115,0.0009918768,0.00089216325,0.00028971012,0.456211,0.001608758,0.07549315,0.0054567303,0.039318353],"study_design_scores_gemma":[0.00010200127,0.00078386784,0.6399663,0.00023011587,0.000736151,0.00043662987,0.0031435823,0.26314273,0.0060736546,0.04890037,0.03632724,0.00015737694],"about_ca_topic_score_codex":0.016232504,"about_ca_topic_score_gemma":0.009741628,"teacher_disagreement_score":0.016232504,"about_ca_system_score_codex":0.002307842,"about_ca_system_score_gemma":0.0010190464,"threshold_uncertainty_score":0.032276034},"labels":[],"label_agreement":null},{"id":"W2921187386","doi":"10.3390/en12061031","title":"Is the Fischer-Tropsch Conversion of Biogas-Derived Syngas to Liquid Fuels Feasible at Atmospheric Pressure?","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":11,"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":"Seventh Framework Programme; Queen's University; Queen's University Belfast; European Commission","keywords":"Fischer–Tropsch process; Syngas; Biogas; Gas to liquids; Methane; Waste management; Liquid fuel; Atmospheric pressure; Renewable fuels; Environmental science; Synthetic fuel; Renewable energy; Fossil fuel; Chemistry; Catalysis; Engineering; Selectivity; Organic chemistry","score_opus":0.009602550122427193,"score_gpt":0.22430799526721007,"score_spread":0.21470544514478287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921187386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524319,0.015168201,0.015312133,0.0029005092,0.00015180183,0.000027054726,0.00017184316,0.00010195732,0.0137345],"genre_scores_gemma":[0.99571264,0.0029249445,0.0007543459,0.000047480295,0.000036074078,0.000006795244,0.00005304195,0.000005351828,0.00045934287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958986,0.0000537037,0.000011670009,0.00009123258,0.00015280112,0.00010074699],"domain_scores_gemma":[0.9998344,0.00005656643,0.00005944682,0.000016340004,0.000021626312,0.0000115634175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043805144,0.00024813449,0.00031478168,0.00019556709,0.00025112933,0.00055950606,0.00045473228,0.00074201025,0.0011905318],"category_scores_gemma":[0.000667483,0.00016504593,0.00023131493,0.00022622052,0.00088856794,0.00133188,0.00028153785,0.00047428656,0.0005029989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041724142,0.00011976807,0.00862141,0.0011325303,0.00009871471,0.0012836097,0.0001895495,0.0019366646,0.91802585,0.01394745,0.00073610793,0.05349106],"study_design_scores_gemma":[0.000035942605,0.00097208115,0.023600146,0.0001066543,0.00006533745,0.0015631417,0.001182753,0.0079747485,0.92568374,0.010001216,0.028768664,0.000045500146],"about_ca_topic_score_codex":0.00087981165,"about_ca_topic_score_gemma":0.001280879,"teacher_disagreement_score":0.0011905318,"about_ca_system_score_codex":0.00028951175,"about_ca_system_score_gemma":0.0002736254,"threshold_uncertainty_score":0.0039827824},"labels":[],"label_agreement":null},{"id":"W2921583152","doi":"10.3390/en12061034","title":"Comparative Evaluation of Coated and Non-Coated Carbon Electrodes in a Microbial Fuel Cell for Treatment of Municipal Sludge","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Mitacs; Genome Canada","keywords":"Microbial fuel cell; Dielectric spectroscopy; Anode; Materials science; Carbon fibers; Cyclic voltammetry; Chemical engineering; Cathode; Catalysis; Electrochemistry; Linear sweep voltammetry; Internal resistance; Electrode; Power density; Chemistry; Composite material; Organic chemistry; Battery (electricity); Composite number","score_opus":0.019755891193914136,"score_gpt":0.25527382727140313,"score_spread":0.235517936077489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921583152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993475,0.0030798072,0.002337859,0.000069132715,0.0000751406,0.000041837084,0.00014008851,0.000031153395,0.00075008476],"genre_scores_gemma":[0.9910835,0.0021074885,0.0055738287,0.000047930316,0.000019753088,0.000020425183,0.00020766897,0.000018894458,0.0009205799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993622,0.000094747986,0.00005748669,0.000091413385,0.00034739074,0.000046757257],"domain_scores_gemma":[0.9996339,0.000088186236,0.000034808636,0.000020425994,0.00018214989,0.00004042939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031702302,0.00052721077,0.0005352076,0.0005339729,0.00030713255,0.0006614648,0.0005458856,0.00094698084,0.0005164785],"category_scores_gemma":[0.00077061955,0.00023099755,0.000580716,0.00042489474,0.00022608231,0.0004821642,0.0002463862,0.00031378274,0.00021054775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036508433,0.000060617625,0.00054629793,0.00027098312,0.000045166522,0.00012378443,0.000022919161,0.00046324037,0.99104846,0.000036675396,0.00003838186,0.006978424],"study_design_scores_gemma":[0.000014548176,0.0006887465,0.004198455,0.000016349344,0.00007195242,0.00012572453,0.000057755762,0.0025763747,0.9913133,0.000022002881,0.00090311794,0.000011690736],"about_ca_topic_score_codex":0.0013544358,"about_ca_topic_score_gemma":0.003054455,"teacher_disagreement_score":0.0013544358,"about_ca_system_score_codex":0.00027300077,"about_ca_system_score_gemma":0.0002306252,"threshold_uncertainty_score":0.0026931167},"labels":[],"label_agreement":null},{"id":"W2922432386","doi":"10.3390/en12060980","title":"The Influence of Surface Radiation on the Passive Cooling of a Heat-Generating Element","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Nusselt number; Mechanics; Emissivity; Heat transfer; Thermal radiation; Passive cooling; Rayleigh number; Convection; Convective heat transfer; Stream function; Reynolds number; Natural convection; Thermodynamics; Physics; Vorticity; Optics; Turbulence","score_opus":0.006431164351118049,"score_gpt":0.20404053863415028,"score_spread":0.19760937428303224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922432386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856194,0.0002627511,0.011915149,0.000026991136,0.000014978182,0.0000105267745,0.000019532252,0.000045538225,0.0020852392],"genre_scores_gemma":[0.99820125,0.0000957955,0.0012800555,0.0000044194203,0.000004567995,0.0000051448865,0.000013123677,0.000012452033,0.0003831988],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989367,0.000035913046,0.000004158272,0.000020330814,0.000033435495,0.000012439906],"domain_scores_gemma":[0.9994795,0.00037797264,0.000049431685,0.000034548524,0.000048484468,0.000010059967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023151461,0.00022091788,0.00030530905,0.00008864368,0.00016590474,0.00034773743,0.00017121267,0.00018135602,0.00079742],"category_scores_gemma":[0.0009632178,0.00008518226,0.00017949408,0.000086385975,0.00053962617,0.0002954074,0.00020092388,0.00019086685,0.00010404464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024401034,0.000041973995,0.0029970454,0.00024204908,0.000015277403,0.0001504156,0.00020991001,0.051693708,0.9292768,0.0013683002,0.00006878553,0.01369169],"study_design_scores_gemma":[0.000029398545,0.00080368965,0.011947377,0.000021678037,0.000048058464,0.00016975975,0.00010663487,0.16015172,0.82456565,0.00047957723,0.0016588095,0.000017595285],"about_ca_topic_score_codex":0.00025855753,"about_ca_topic_score_gemma":0.00019049359,"teacher_disagreement_score":0.00079742,"about_ca_system_score_codex":0.000121032666,"about_ca_system_score_gemma":0.0001386524,"threshold_uncertainty_score":0.0026676655},"labels":[],"label_agreement":null},{"id":"W2923095658","doi":"10.3390/en12061106","title":"A Review on Anaerobic Co-Digestion with a Focus on the Microbial Populations and the Effect of Multi-Stage Digester Configuration","year":2019,"lang":"en","type":"review","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":344,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anaerobic digestion; Biogas; Bioenergy; Digestion (alchemy); Biofuel; Pulp and paper industry; Population; Waste management; Bioreactor; Methanosaeta; Methane; Environmental science; Biotechnology; Chemistry; Biology; Engineering; Medicine","score_opus":0.04775146957602548,"score_gpt":0.30040121172875345,"score_spread":0.25264974215272795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923095658","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":[0.00024526517,0.9978041,0.00035089487,0.00009521801,0.00017200499,0.00000905685,0.000060384096,0.000011213417,0.0012517844],"genre_scores_gemma":[0.00092236866,0.9975206,0.00052021025,0.000102440645,0.00009015964,0.000011673294,0.000078926016,0.0000031956013,0.00075044704],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997086,0.00004070766,0.000057168138,0.000071846334,0.00009809502,0.00002357952],"domain_scores_gemma":[0.9995049,0.00024359654,0.00010056316,0.00001821567,0.00010600558,0.000026612248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049380126,0.0013551003,0.0016477337,0.0030698865,0.00028109667,0.0010514115,0.0008007201,0.0010335388,0.0051103244],"category_scores_gemma":[0.0007437624,0.00047806549,0.001042039,0.0038261646,0.00031372262,0.0014446677,0.00055758265,0.0010270508,0.0021609222],"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":[0.00013631764,0.00018364936,0.0002547755,0.10695588,0.00025635384,0.0002793354,0.000085047584,0.0009825589,0.010276342,0.0036256635,0.023214824,0.85374933],"study_design_scores_gemma":[0.000012357277,0.00021859432,0.0011223486,0.0066544525,0.00035516568,0.0010152055,0.000049132832,0.0001360297,0.0024787704,0.0010310054,0.98689574,0.000031176623],"about_ca_topic_score_codex":0.001114133,"about_ca_topic_score_gemma":0.0017092566,"teacher_disagreement_score":0.0051103244,"about_ca_system_score_codex":0.00049578876,"about_ca_system_score_gemma":0.0012834076,"threshold_uncertainty_score":0.017095745},"labels":[],"label_agreement":null},{"id":"W2923923752","doi":"10.3390/en12061072","title":"A New Method Based on Thermal Response Tests for Determining Effective Thermal Conductivity and Borehole Resistivity for Borehole Heat Exchangers","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Akademia Górniczo-Hutnicza im. Stanislawa Staszica","keywords":"Borehole; Thermal conductivity; Heat exchanger; Thermal; Thermal transmittance; Materials science; Geology; Thermal resistance; Geotechnical engineering; Thermodynamics; Physics; Composite material","score_opus":0.02205539639965487,"score_gpt":0.2998048715961235,"score_spread":0.27774947519646864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923923752","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009127568,0.0007522818,0.98381835,0.00012995815,0.00032437698,0.00016448474,0.00018034197,0.0013947216,0.004107835],"genre_scores_gemma":[0.28450236,0.0012871558,0.70474356,0.00036858922,0.00020098455,0.00065973937,0.00039263334,0.00052846083,0.007316427],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953858,0.0008743782,0.00026198395,0.0007368714,0.0025592633,0.00018163945],"domain_scores_gemma":[0.9959188,0.0016927782,0.000492949,0.00046634898,0.0013562717,0.00007291773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001964625,0.001339815,0.0010056711,0.003986929,0.000537799,0.0012674901,0.0018432813,0.0016576761,0.0027049182],"category_scores_gemma":[0.0077133863,0.0005633343,0.0009141502,0.0018926717,0.0015380995,0.0034633446,0.0010628403,0.001991192,0.0015318255],"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":[0.00032008003,0.00028578017,0.00858685,0.0012311655,0.000119495715,0.0005797404,0.00061793195,0.015354422,0.35617992,0.058095206,0.006208249,0.5524212],"study_design_scores_gemma":[0.000113063084,0.0014965496,0.011095701,0.0002585622,0.0001872921,0.005055168,0.00055473554,0.34489202,0.5333724,0.024533207,0.07792269,0.0005186107],"about_ca_topic_score_codex":0.0007045537,"about_ca_topic_score_gemma":0.0009625949,"teacher_disagreement_score":0.003986929,"about_ca_system_score_codex":0.00064326334,"about_ca_system_score_gemma":0.0008107863,"threshold_uncertainty_score":0.010390103},"labels":[],"label_agreement":null},{"id":"W2936017016","doi":"10.3390/en12081408","title":"A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Offshore wind power; Turbine; Wind power; Resource (disambiguation); Submarine pipeline; Optimal maintenance; Decision-making models; Marine engineering; Corrective maintenance; Operations research; Engineering; Computer science; Risk analysis (engineering); Reliability engineering; Business; Preventive maintenance","score_opus":0.00913720074374469,"score_gpt":0.2661389832842588,"score_spread":0.2570017825405141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936017016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055101912,0.000569404,0.92703193,0.001316858,0.00014052079,0.0001639691,0.00060011673,0.00029192847,0.014783378],"genre_scores_gemma":[0.9650092,0.0005385906,0.02423093,0.0001221752,0.00006151663,0.00040883798,0.00024577312,0.000029911838,0.009353006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994066,0.00017615462,0.00003335686,0.00016604507,0.00010871819,0.000109070024],"domain_scores_gemma":[0.9986419,0.0008699379,0.00019937086,0.000026668782,0.00020752077,0.00005456846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013936164,0.0009770744,0.0015867589,0.0006046091,0.0009042839,0.002289953,0.002031023,0.0031559963,0.0047463304],"category_scores_gemma":[0.002425498,0.0007345305,0.0009885714,0.0007367231,0.0010207639,0.0012803522,0.001263909,0.0021782303,0.00052681443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003164615,0.000015621536,0.00019150887,0.0000364452,0.000013869073,0.00011031705,0.000044741017,0.9896938,0.00033870235,0.0070741684,0.00023250183,0.0022166637],"study_design_scores_gemma":[0.000009816883,0.000017510722,0.00007099631,0.000005931656,0.000008342406,0.000010098557,0.000010953144,0.99796,0.00009275539,0.0016200588,0.00018832336,0.0000052189807],"about_ca_topic_score_codex":0.01512567,"about_ca_topic_score_gemma":0.008654473,"teacher_disagreement_score":0.01512567,"about_ca_system_score_codex":0.0018182746,"about_ca_system_score_gemma":0.0020092116,"threshold_uncertainty_score":0.030075252},"labels":[],"label_agreement":null},{"id":"W2936675120","doi":"10.3390/en12071370","title":"Evaluation of Cyclic Gas Injection in Enhanced Recovery from Unconventional Light Oil Reservoirs: Effect of Gas Type and Fracture Spacing","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Unconventional oil; Fracture (geology); Fossil fuel; Shale gas; Geology; Materials science; Environmental science; Chemistry; Geotechnical engineering; Oil shale","score_opus":0.005496920027772463,"score_gpt":0.2254951859158632,"score_spread":0.21999826588809074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936675120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975948,0.00016212057,0.001664071,0.000017496886,0.0000040364143,0.00001370106,0.00003676664,0.000019268855,0.00048767455],"genre_scores_gemma":[0.99847144,0.00009072934,0.0012925799,0.0000028547388,5.846658e-7,0.0000058303744,0.000018603523,0.0000025181046,0.00011484784],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986637,0.00002100846,0.000009645463,0.00002111965,0.000050853647,0.000030942876],"domain_scores_gemma":[0.99964714,0.00017343838,0.000079584875,0.00002116308,0.000053947537,0.00002469778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040446853,0.00026865568,0.00027378168,0.00037118563,0.00014043658,0.00038192983,0.00039469753,0.00035459636,0.0005402945],"category_scores_gemma":[0.00064248766,0.00014662815,0.000320236,0.00026486564,0.00025826212,0.00045201156,0.00026494646,0.00026681626,0.000060656377],"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":[0.0023172402,0.0008409834,0.02266964,0.0006542562,0.00007982787,0.0007673835,0.000109966175,0.3906193,0.5213642,0.0011829059,0.00018736532,0.059206925],"study_design_scores_gemma":[0.00006104977,0.0041268193,0.013659103,0.000022540404,0.00010163531,0.00013300496,0.00018080825,0.55932045,0.42131898,0.00027082028,0.0007592417,0.00004546505],"about_ca_topic_score_codex":0.0022789326,"about_ca_topic_score_gemma":0.003567016,"teacher_disagreement_score":0.0022789326,"about_ca_system_score_codex":0.0004989488,"about_ca_system_score_gemma":0.00037526913,"threshold_uncertainty_score":0.004531324},"labels":[],"label_agreement":null},{"id":"W2937016105","doi":"10.3390/en12071376","title":"A Single-Phase Buck and Boost AC-to-AC Converter with Bipolar Voltage Gain: Analysis, Design, and Implementation","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Snubber; Boost converter; Ripple; Buck converter; Buck–boost converter; Voltage; Flyback converter; Pulse-width modulation; Inductor; Control theory (sociology); Electronic engineering; Computer science; Electrical engineering; Engineering; Capacitor; Control (management)","score_opus":0.011050801684925176,"score_gpt":0.2328183718366191,"score_spread":0.22176757015169393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937016105","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":[0.060903445,0.0030620603,0.90787405,0.00024092643,0.00017631329,0.00025169534,0.00018055348,0.0011342716,0.02617672],"genre_scores_gemma":[0.8599041,0.0020376015,0.12511916,0.00009140266,0.00007661517,0.00011516733,0.00017330427,0.00004657216,0.0124361385],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985313,0.000010431381,0.0000060987,0.000020139487,0.00010057603,0.000009596404],"domain_scores_gemma":[0.99993384,0.000009193272,0.0000067628152,0.000005570489,0.000038717855,0.0000058819596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000985037,0.00027762356,0.0003252029,0.00030861038,0.00022895483,0.00064870884,0.00052542303,0.00031592385,0.0026509522],"category_scores_gemma":[0.000115516144,0.00019016856,0.00021539256,0.0003604366,0.00012507306,0.00049988064,0.00012597327,0.00036616012,0.000724641],"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":[0.00028042236,0.0001569989,0.001390276,0.0014868513,0.00009666345,0.00047068577,0.00016502845,0.024089063,0.5621139,0.015444882,0.0028281494,0.39147693],"study_design_scores_gemma":[0.00015443978,0.0019076198,0.0060204472,0.00020756335,0.00022910711,0.0044257217,0.00016634882,0.5939366,0.33481643,0.0067573227,0.051286213,0.00009214416],"about_ca_topic_score_codex":0.0006634279,"about_ca_topic_score_gemma":0.0014229504,"teacher_disagreement_score":0.0026509522,"about_ca_system_score_codex":0.00027594552,"about_ca_system_score_gemma":0.00035888987,"threshold_uncertainty_score":0.008868277},"labels":[],"label_agreement":null},{"id":"W2938066919","doi":"10.3390/en12081519","title":"Visual Experimental Study on Gradation Optimization of Two-Stage Gravel Packing Operation in Unconventional Reservoirs","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Science and Technology Major Project; China University of Petroleum, Beijing","keywords":"Silt; Geology; Geotechnical engineering; Gradation; Geomorphology","score_opus":0.01278910071982676,"score_gpt":0.2761713058060543,"score_spread":0.26338220508622756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938066919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995349,0.00008808702,0.0037927495,0.000018695344,0.000010887201,0.000017634498,0.000056381286,0.00010463048,0.0005620013],"genre_scores_gemma":[0.99618065,0.000050808154,0.0032654344,0.0000045557144,0.0000018522319,0.000010840669,0.000030747044,0.0000104652945,0.00044465376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998348,0.000016706425,0.0000104788405,0.000036910467,0.00005121223,0.00004981647],"domain_scores_gemma":[0.99960583,0.00014412041,0.00005940189,0.000055584245,0.00008842141,0.00004668421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028268338,0.00036711554,0.00031435644,0.00032746844,0.00027133254,0.00029532376,0.0004628248,0.00031496963,0.0014291607],"category_scores_gemma":[0.00048990664,0.00016179646,0.00019855378,0.00025231155,0.00030220774,0.00035185396,0.00027404467,0.00025385054,0.000082144616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071199844,0.0003117276,0.0021488613,0.00026762066,0.000010755346,0.0002778585,0.00032268965,0.013563566,0.9621051,0.00031611617,0.00022190447,0.01974182],"study_design_scores_gemma":[0.00006616983,0.003153225,0.016160624,0.00001557116,0.000032094576,0.000117907264,0.00028870167,0.13605973,0.8427893,0.00022734048,0.0010269751,0.00006238867],"about_ca_topic_score_codex":0.0009145153,"about_ca_topic_score_gemma":0.0013696222,"teacher_disagreement_score":0.0014291607,"about_ca_system_score_codex":0.00019595868,"about_ca_system_score_gemma":0.00015897282,"threshold_uncertainty_score":0.0047810674},"labels":[],"label_agreement":null},{"id":"W2940482474","doi":"10.3390/en12091595","title":"Feasibility Studies of Micro Photosynthetic Power Cells as a Competitor of Photovoltaic Cells for Low and Ultra-Low Power IoT Applications","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Photovoltaic system; Computer science; Battery (electricity); Electrical engineering; Power (physics); Automotive engineering; Engineering","score_opus":0.009421216379808424,"score_gpt":0.23832326204641305,"score_spread":0.22890204566660463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940482474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8991656,0.0050940677,0.05298662,0.0012347364,0.00038399253,0.0003839418,0.0002870488,0.00015115278,0.040312935],"genre_scores_gemma":[0.9732519,0.0010686754,0.0192776,0.00006709575,0.000030182726,0.00009190497,0.00011170672,0.000021462647,0.0060794367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995753,0.000050912688,0.0000117406125,0.00006721128,0.00024093677,0.00005379606],"domain_scores_gemma":[0.9993969,0.00021972004,0.0000479353,0.000048164424,0.00024859014,0.00003868592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061571563,0.00022322005,0.0002425691,0.0003477542,0.00037200557,0.00085906714,0.0006722676,0.0005619791,0.0039541656],"category_scores_gemma":[0.0008844193,0.00015500911,0.00043266284,0.00030363473,0.00025379052,0.0012224359,0.00033804725,0.0005186262,0.0006609584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009261627,0.000546804,0.008258716,0.0011429642,0.000060325692,0.00096256286,0.00022733593,0.011710317,0.8505033,0.019089036,0.0024698765,0.104102455],"study_design_scores_gemma":[0.00008482606,0.0032119087,0.008514369,0.00009593433,0.00012185934,0.0008674135,0.0007345257,0.051232718,0.8904358,0.0033122972,0.041339908,0.000048444475],"about_ca_topic_score_codex":0.00064972206,"about_ca_topic_score_gemma":0.0010070835,"teacher_disagreement_score":0.0039541656,"about_ca_system_score_codex":0.00060509075,"about_ca_system_score_gemma":0.0003389796,"threshold_uncertainty_score":0.013227999},"labels":[],"label_agreement":null},{"id":"W2940732855","doi":"10.3390/en12081525","title":"Electric Vehicle Battery Lifetime Extension through an Intelligent Double-Layer Control Scheme","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Vlaamse regering; Flanders Make","keywords":"Automotive engineering; Renewable energy; Electric vehicle; Electric power system; Grid; Computer science; Electricity; Flexibility (engineering); Reliability engineering; Engineering; Power (physics); Electrical engineering","score_opus":0.02120467446010664,"score_gpt":0.2717826678093947,"score_spread":0.25057799334928804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940732855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1488291,0.000744115,0.83859575,0.00024111336,0.0002414265,0.00010814172,0.000079225014,0.0010768726,0.010084234],"genre_scores_gemma":[0.9904869,0.00009445442,0.00833842,0.000028740977,0.00001774025,0.000033422373,0.000019788076,0.000007758469,0.00097287854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997913,0.000022546235,0.000018311508,0.00006997008,0.000055447257,0.000042457053],"domain_scores_gemma":[0.99975234,0.000042621727,0.000070438815,0.000024954934,0.00009255274,0.000017054292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003385985,0.00064343814,0.00045433088,0.00024803018,0.0003315418,0.000815872,0.00077080575,0.00038880302,0.0011982026],"category_scores_gemma":[0.00045110227,0.00017974054,0.00040488984,0.0002021462,0.00030355688,0.00059095677,0.00049963075,0.00048404856,0.00017737334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068404834,0.00040876647,0.0010691242,0.00027337586,0.00010051403,0.0002715045,0.00015050756,0.75222695,0.05722486,0.0069515924,0.0019572864,0.17868139],"study_design_scores_gemma":[0.0000170468,0.00014698769,0.00019792622,0.0000076845545,0.00001896687,0.000021509957,0.0000065231275,0.994822,0.0038322175,0.0004489103,0.00047209012,0.000008102168],"about_ca_topic_score_codex":0.0020433753,"about_ca_topic_score_gemma":0.0023204463,"teacher_disagreement_score":0.0020433753,"about_ca_system_score_codex":0.0003672055,"about_ca_system_score_gemma":0.00043149616,"threshold_uncertainty_score":0.0040629506},"labels":[],"label_agreement":null},{"id":"W2942184094","doi":"10.3390/en12081557","title":"Economies of Scale in the South Korean Natural Gas Industry","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diseconomies of scale; Monopolistic competition; Quarter (Canadian coin); Economies of scale; Natural gas; Economics; Scale (ratio); Agricultural economics; Business; Production (economics); Corporation; Economy; Monopoly; Market economy; Finance; Geography; Microeconomics; Engineering","score_opus":0.0067892368047896496,"score_gpt":0.20414629146094967,"score_spread":0.19735705465616002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942184094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912145,0.0002671016,0.0014545319,0.000231323,0.0000027610854,0.000013503615,0.000099137214,0.0000054114566,0.0067117037],"genre_scores_gemma":[0.999348,0.00008632467,0.0001425179,0.0000093540475,0.0000017204898,0.000004029073,0.000044812587,0.0000011222293,0.00036231746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958843,0.00007426396,0.000033359047,0.00010601332,0.00010986624,0.00008808885],"domain_scores_gemma":[0.9983132,0.000424249,0.00083602755,0.000116121184,0.0001789874,0.00013145349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007251187,0.0002074374,0.00015668028,0.0010247105,0.00030030098,0.0015343473,0.00016737929,0.00017829835,0.0019620452],"category_scores_gemma":[0.0021459584,0.00016364749,0.00039831712,0.0010217383,0.0011333461,0.0021110724,0.0010931231,0.0004209376,0.00013859106],"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":[0.00016724231,0.00021605828,0.8110003,0.00016568338,0.00018482699,0.0018754746,0.0033010368,0.042337596,0.0056202407,0.08654204,0.0017758517,0.04681372],"study_design_scores_gemma":[0.000015043841,0.00012276066,0.9468387,0.000071232,0.000042940927,0.00025306616,0.0071699377,0.017498808,0.0009978072,0.019741217,0.0072004,0.000048066333],"about_ca_topic_score_codex":0.0056081,"about_ca_topic_score_gemma":0.009898685,"teacher_disagreement_score":0.0056081,"about_ca_system_score_codex":0.0011788219,"about_ca_system_score_gemma":0.0005464189,"threshold_uncertainty_score":0.011150956},"labels":[],"label_agreement":null},{"id":"W2942254729","doi":"10.3390/en12081548","title":"Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":53,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Universitatea Politehnica Timisoara","keywords":"Control theory (sociology); Active disturbance rejection control; Fuzzy logic; Controller (irrigation); Position (finance); Nonlinear system; Computer science; Fuzzy control system; Control engineering; Engineering; Control (management); Artificial intelligence; State observer","score_opus":0.013307194877703848,"score_gpt":0.2279878933523647,"score_spread":0.21468069847466084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942254729","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8625318,0.00024423935,0.13258535,0.00008711081,0.000071396804,0.00017933825,0.00007751411,0.00043737888,0.0037860333],"genre_scores_gemma":[0.9913578,0.000025504494,0.008204015,0.0000053899507,0.0000019463205,0.000030183417,0.00002649439,0.000005033535,0.00034382145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994166,0.00015895882,0.00004493361,0.00008483182,0.00023252999,0.00006212078],"domain_scores_gemma":[0.99884796,0.00045382665,0.00008461377,0.00018126893,0.00038742388,0.000044761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010448373,0.00069691974,0.0005749508,0.00040041519,0.0004703832,0.0005574517,0.0008147726,0.00064980536,0.0010609274],"category_scores_gemma":[0.0017849366,0.0002884565,0.00045081464,0.00028838558,0.0004895059,0.00041372704,0.00039330215,0.00070004066,0.00013514861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001394783,0.0010935604,0.003658533,0.0011831985,0.00018016229,0.00040206176,0.0004913561,0.7349865,0.17102702,0.0013580169,0.0003563337,0.083868526],"study_design_scores_gemma":[0.00015507969,0.002286877,0.0042029186,0.000027456173,0.000057918984,0.00006407624,0.00010582991,0.8568825,0.134864,0.0003098284,0.0009964083,0.00004709719],"about_ca_topic_score_codex":0.0061809192,"about_ca_topic_score_gemma":0.0065281624,"teacher_disagreement_score":0.0061809192,"about_ca_system_score_codex":0.00042714804,"about_ca_system_score_gemma":0.00042179014,"threshold_uncertainty_score":0.012289882},"labels":[],"label_agreement":null},{"id":"W2943240966","doi":"10.3390/en12091703","title":"Sugarcane Bagasse Hydrolysis Enhancement by Microwave-Assisted Sulfolane Pretreatment","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pontificia Universidad Católica del Ecuador; CNIB","keywords":"Sulfolane; Bagasse; Bioconversion; Chemistry; Hydrolysis; Yield (engineering); Lignin; Biofuel; Enzymatic hydrolysis; Nuclear chemistry; Pulp and paper industry; Solvent; Organic chemistry; Biotechnology; Materials science; Fermentation","score_opus":0.0043193655066201715,"score_gpt":0.1771222460660244,"score_spread":0.1728028805594042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943240966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915577,0.0016127164,0.0048553552,0.00006366213,0.000027055401,0.000031235333,0.00018068707,0.00007838302,0.001593176],"genre_scores_gemma":[0.9920562,0.0017200657,0.0039261184,0.00002687039,0.000012343587,0.00002658917,0.00016675114,0.000015982427,0.0020491013],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991643,0.000007311871,0.000007440699,0.000014876835,0.000032358425,0.000021636422],"domain_scores_gemma":[0.9999635,0.0000050083827,0.000011113978,0.0000034428513,0.000011495219,0.000005448392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012858538,0.0004871285,0.00026688827,0.00020195123,0.00009997397,0.00029763507,0.00024827695,0.00024351386,0.0009599326],"category_scores_gemma":[0.000096343734,0.00013363353,0.00031291964,0.00027922477,0.0001112815,0.00023393499,0.00014588913,0.00032119485,0.00024873402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003611405,0.000013581012,0.000068762674,0.00006207203,0.0000059580025,0.000029544492,0.0000094882025,0.00020178637,0.99798775,0.00002266871,0.000016527058,0.0015456551],"study_design_scores_gemma":[0.0000030290637,0.00008435386,0.0011668841,0.000002455412,0.000010654783,0.000022558239,0.000015040447,0.000836552,0.99671656,0.000008015317,0.0011291308,0.000004826965],"about_ca_topic_score_codex":0.0017234301,"about_ca_topic_score_gemma":0.0038123294,"teacher_disagreement_score":0.0017234301,"about_ca_system_score_codex":0.0002015711,"about_ca_system_score_gemma":0.00020683522,"threshold_uncertainty_score":0.0034267306},"labels":[],"label_agreement":null},{"id":"W2943443484","doi":"10.3390/en12091686","title":"Analysis and Optimization of Exergy Flows inside a Transcritical CO2 Ejector for Refrigeration, Air Conditioning and Heat Pump Cycles","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Exergy; Exergy efficiency; Injector; Refrigeration; Condenser (optics); Evaporator; Environmental science; Air conditioning; Transcritical cycle; Thermodynamics; Process engineering; Engineering; Refrigerant; Heat exchanger; Physics","score_opus":0.006074501062882889,"score_gpt":0.21274632466719073,"score_spread":0.20667182360430786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943443484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9264495,0.0003022761,0.069686174,0.000028516988,0.00000868186,0.00007145505,0.0001412238,0.0001319104,0.0031801309],"genre_scores_gemma":[0.9904178,0.00013858882,0.008137201,0.0000031417044,0.0000014177541,0.000036082994,0.00011318488,0.000032947508,0.0011195807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998605,0.000027272845,0.000004576312,0.000020654074,0.000068151,0.00001885686],"domain_scores_gemma":[0.99985504,0.000085613916,0.0000129564005,0.000010128065,0.000029549594,0.0000066424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032926787,0.00047152463,0.0005783116,0.00048617102,0.00032074077,0.00063070195,0.00031378152,0.00037121537,0.0010638316],"category_scores_gemma":[0.0004554802,0.00024998622,0.00052152836,0.0003824098,0.00027786242,0.00043028424,0.0002829177,0.00031683056,0.00020620039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035162087,0.00019879542,0.00408194,0.00032187617,0.000043482756,0.00019160588,0.000104720166,0.84736437,0.11624229,0.0010817142,0.00013749514,0.029880106],"study_design_scores_gemma":[0.000027973994,0.00060408335,0.0074108383,0.000012154809,0.000037206984,0.00008747358,0.00013675858,0.9013298,0.08838941,0.00053384213,0.0014041602,0.00002635697],"about_ca_topic_score_codex":0.0024207262,"about_ca_topic_score_gemma":0.0035524634,"teacher_disagreement_score":0.0024207262,"about_ca_system_score_codex":0.0004039771,"about_ca_system_score_gemma":0.00058949867,"threshold_uncertainty_score":0.004813254},"labels":[],"label_agreement":null},{"id":"W2943595795","doi":"10.3390/en12091692","title":"A Multi-Objective Optimization Model for a Non-Traditional Energy System in Beijing under Climate Change Conditions","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Renewable energy; Beijing; Climate change; Context (archaeology); Environmental science; Energy supply; Environmental economics; Electricity generation; Wind power; Natural resource economics; Environmental resource management; Power (physics); Energy (signal processing); Economics; China; Engineering; Geography; Mathematics; Statistics; Ecology","score_opus":0.022866409200661304,"score_gpt":0.2216250387439895,"score_spread":0.1987586295433282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943595795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44296348,0.0019513513,0.4902716,0.0021412515,0.00033147007,0.00045228063,0.0017262833,0.00072136166,0.059440967],"genre_scores_gemma":[0.9712126,0.00043503314,0.014721468,0.000086493026,0.000026323447,0.00043224645,0.0004249228,0.000039895363,0.01262105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951494,0.00016276602,0.000025104024,0.00012761587,0.00007275814,0.000096714924],"domain_scores_gemma":[0.9995846,0.00020361516,0.000050839702,0.000011884625,0.00010789424,0.000041127056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009923554,0.0013840365,0.0013010144,0.00067063107,0.001120277,0.0020415238,0.0016060307,0.0023779494,0.0046753897],"category_scores_gemma":[0.0011497359,0.00071420905,0.0011799308,0.0009249296,0.0008967483,0.0010061964,0.0013050068,0.0012112787,0.0003627562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014432742,0.000009609174,0.0002140991,0.000018745774,0.0000107919805,0.00005957696,0.000012415217,0.99787116,0.00014732548,0.0006810881,0.00011297572,0.00084790075],"study_design_scores_gemma":[0.000009027252,0.000011722432,0.00016483004,0.000002363733,0.000006041959,0.0000035601456,0.000009360022,0.9993199,0.000033074844,0.00027854933,0.00015796711,0.000003617424],"about_ca_topic_score_codex":0.051496204,"about_ca_topic_score_gemma":0.026624545,"teacher_disagreement_score":0.051496204,"about_ca_system_score_codex":0.002139182,"about_ca_system_score_gemma":0.0026881157,"threshold_uncertainty_score":0.10239291},"labels":[],"label_agreement":null},{"id":"W2943704554","doi":"10.3390/en12091634","title":"History Matching and Forecast of Shale Gas Production Considering Hydraulic Fracture Closure","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Hydraulic fracturing; Petroleum engineering; Geology; Shale gas; Oil shale; Permeability (electromagnetism); Unconventional oil; Fluid dynamics; Microseism; Reservoir simulation; Natural gas; Petrology; Geotechnical engineering; Mechanics; Engineering; Seismology","score_opus":0.006468537756018175,"score_gpt":0.17833334130070466,"score_spread":0.17186480354468647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943704554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98439294,0.000031352047,0.014993988,0.000031175452,0.0000047712265,0.000008671256,0.00008812089,0.00008608623,0.00036279345],"genre_scores_gemma":[0.998511,0.00001218604,0.001367984,0.0000011759735,0.0000011616833,0.000002628822,0.00003678806,0.000002208115,0.000064702515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999374,0.000009558685,0.0000042924876,0.000018741128,0.000014133599,0.000015805032],"domain_scores_gemma":[0.9997967,0.00008072451,0.0000417786,0.000016098467,0.000036744765,0.00002800683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002691397,0.00025921286,0.0003041223,0.0006318237,0.00018496366,0.00036784826,0.00033888427,0.00045412994,0.00039475775],"category_scores_gemma":[0.0010158075,0.00022359367,0.00023812153,0.00035267218,0.00020811472,0.00059195515,0.00026555342,0.00021106952,0.00004946093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093065515,0.00003519265,0.026090441,0.000010968176,0.00001178489,0.00009938966,0.000023137134,0.9573073,0.0048869476,0.00036325734,0.00005931631,0.011019341],"study_design_scores_gemma":[0.000001568289,0.0000048941897,0.002645816,4.4982397e-7,0.0000012073682,0.000002569134,0.0000047094754,0.99654704,0.0007140872,0.00006166622,0.000013783786,0.0000021068265],"about_ca_topic_score_codex":0.018876772,"about_ca_topic_score_gemma":0.013546695,"teacher_disagreement_score":0.018876772,"about_ca_system_score_codex":0.0006098839,"about_ca_system_score_gemma":0.00061440666,"threshold_uncertainty_score":0.03753376},"labels":[],"label_agreement":null},{"id":"W2943931557","doi":"10.3390/en12091769","title":"Facies and the Architecture of Estuarine Tidal Bar in the Lower Cretaceous Mcmurray Formation, Central Athabasca Oil Sands, Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Fluvial; Facies; Geology; Point bar; Cretaceous; Tidal flat; Estuary; Geomorphology; Paleontology; Oceanography; Sediment; Structural basin","score_opus":0.003622098317311189,"score_gpt":0.15859082606082103,"score_spread":0.15496872774350984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943931557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520457,0.00028885787,0.0003627117,0.000020200954,0.0000018749647,0.000012504576,0.0009761611,0.000021432515,0.0031117033],"genre_scores_gemma":[0.99718225,0.000118371325,0.0004848265,0.000006711758,8.179551e-7,0.000004023602,0.0007773327,0.00000522648,0.0014204248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998455,0.0000068848603,0.000007026593,0.000027355007,0.000071114926,0.00004203386],"domain_scores_gemma":[0.9997118,0.00001620353,0.000050422972,0.000011593467,0.00016429319,0.0000456157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013258285,0.00029106962,0.00018033675,0.00339124,0.0009556044,0.0010181604,0.00048729707,0.00016398706,0.0013229406],"category_scores_gemma":[0.00033348918,0.0001812661,0.00022599955,0.0037511897,0.00063889846,0.00017096681,0.00042955574,0.0001328234,0.00020922374],"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":[0.000058458656,0.000015157375,0.969736,0.000034185374,0.00005855809,0.00027097677,0.0012192862,0.0017656833,0.0036675169,0.00025950163,0.00038195704,0.022532744],"study_design_scores_gemma":[8.501238e-7,0.0000021325811,0.9981806,0.000005727726,0.0000058207274,0.000028848552,0.00047129305,0.00064018666,0.0001018834,0.000015779446,0.00054318074,0.0000036889678],"about_ca_topic_score_codex":0.9701075,"about_ca_topic_score_gemma":0.99344313,"teacher_disagreement_score":0.029892504,"about_ca_system_score_codex":0.007379246,"about_ca_system_score_gemma":0.004027691,"threshold_uncertainty_score":0.060137033},"labels":[],"label_agreement":null},{"id":"W2943984451","doi":"10.3390/en12091735","title":"Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":146,"is_retracted":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":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Convolutional neural network; Transfer of learning; Computer science; Workflow; Coal; Artificial intelligence; Gangue; Deep learning; Process (computing); Pattern recognition (psychology); Computer vision; Engineering; Database; Waste management","score_opus":0.013419898509178496,"score_gpt":0.20944689813237835,"score_spread":0.19602699962319986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943984451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38649234,0.00037762278,0.60426825,0.00015733935,0.000106874766,0.00012947964,0.00026691338,0.0021007513,0.0061005293],"genre_scores_gemma":[0.8396731,0.00019147855,0.1547559,0.000068304515,0.000017453676,0.000044530225,0.00040474627,0.000054857905,0.0047896923],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998031,0.000014847965,0.00000799822,0.000066009125,0.00007560877,0.000032476713],"domain_scores_gemma":[0.99988115,0.000019529234,0.000016545391,0.000034232926,0.00003756354,0.000010939789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027337347,0.00044779794,0.00027664463,0.0009156072,0.00023172685,0.00042249923,0.00056268525,0.00055737677,0.0011176096],"category_scores_gemma":[0.00046720688,0.00021146737,0.00046902188,0.00068884203,0.0002941405,0.00083008735,0.000494492,0.00039694906,0.00040565556],"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":[0.00025857284,0.00022280934,0.009487385,0.00014434176,0.00008357645,0.00043645967,0.000104016544,0.08418183,0.31601208,0.0028547635,0.0019411726,0.584273],"study_design_scores_gemma":[0.0000064555243,0.00009690424,0.011300361,0.0000095856085,0.000027309252,0.00029834846,0.00007031488,0.8602034,0.123175085,0.0012574033,0.0035243784,0.000030440116],"about_ca_topic_score_codex":0.0059438525,"about_ca_topic_score_gemma":0.008648707,"teacher_disagreement_score":0.0059438525,"about_ca_system_score_codex":0.0004687365,"about_ca_system_score_gemma":0.0004306433,"threshold_uncertainty_score":0.011818528},"labels":[],"label_agreement":null},{"id":"W2944595299","doi":"10.3390/en12091788","title":"Comparative Study on the Effects of Ethanol Proportion on the Particle Numbers Emissions in a Combined Injection Engine","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"State Key Laboratory of Automotive Simulation and Control; Jilin University; National Natural Science Foundation of China","keywords":"Gasoline; Particle number; Ignition timing; Combustion; Ignition system; Cylinder; Ethanol; Particle size; Automotive engineering; Particle (ecology); Ethanol fuel; Petrol engine; Environmental science; Chemistry; Materials science; Mechanics; Waste management; Physics; Volume (thermodynamics); Engineering; Thermodynamics; Mechanical engineering; Organic chemistry","score_opus":0.015032330634556652,"score_gpt":0.263355142095634,"score_spread":0.24832281146107735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944595299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724555,0.0007427848,0.0013359981,0.000009178871,0.000012662154,0.000009265465,0.00006553649,0.000033385193,0.0005456829],"genre_scores_gemma":[0.99702924,0.00051369343,0.0014277874,0.000012820622,0.0000062767726,0.000010613527,0.00010899233,0.000016004868,0.0008745011],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971074,0.000031130498,0.000028564878,0.00006077903,0.00012578932,0.00004285647],"domain_scores_gemma":[0.9996557,0.000112250105,0.000056739947,0.000026820106,0.00012473203,0.00002371118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028887292,0.00036096098,0.00039808612,0.00036441942,0.0001467059,0.0003208319,0.0003323662,0.00029813917,0.0007087455],"category_scores_gemma":[0.00048203274,0.00017646122,0.00037553758,0.0002792844,0.00017676807,0.00045940158,0.00021905573,0.00024853702,0.00016619686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025643937,0.0002919693,0.005696824,0.0003461509,0.00006292848,0.0002087538,0.000074161595,0.0021072833,0.9670929,0.000060823175,0.00006941966,0.0214244],"study_design_scores_gemma":[0.000022378377,0.0021329704,0.01776186,0.000007972928,0.00011939798,0.00007304236,0.00006058896,0.0045914957,0.9745343,0.000020021358,0.00065871136,0.00001717958],"about_ca_topic_score_codex":0.0010165811,"about_ca_topic_score_gemma":0.0019067852,"teacher_disagreement_score":0.0010165811,"about_ca_system_score_codex":0.00017948485,"about_ca_system_score_gemma":0.00011849043,"threshold_uncertainty_score":0.0023710132},"labels":[],"label_agreement":null},{"id":"W2944842075","doi":"10.3390/en12101890","title":"A Modified Wireless Power Transfer System for Medical Implants","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"King Abdulaziz University; École de technologie supérieure","keywords":"Wireless power transfer; Transmitter; Electromagnetic coil; Maximum power transfer theorem; Electrical engineering; Amplifier; CMOS; Wireless; Electronic circuit; Power (physics); Electrical efficiency; Electronic engineering; Computer science; Engineering; Telecommunications; Channel (broadcasting); Physics","score_opus":0.005820065146698761,"score_gpt":0.19645998259417702,"score_spread":0.19063991744747827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944842075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11126904,0.0013830459,0.8703282,0.00060443854,0.00035309012,0.00026562536,0.0002444007,0.0031514026,0.012400684],"genre_scores_gemma":[0.742627,0.0008589991,0.24122557,0.0005113995,0.00014911812,0.0002534812,0.00022188004,0.00014141142,0.014011142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997825,0.000034891487,0.000014237762,0.00005885673,0.000094869494,0.000014687028],"domain_scores_gemma":[0.9998685,0.00002938999,0.0000323441,0.000021863689,0.00003939377,0.000008516381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017067787,0.00033301229,0.00027784097,0.00025616953,0.00015397543,0.00032978374,0.0005899784,0.00058007654,0.0023643102],"category_scores_gemma":[0.00038047275,0.000164855,0.00023879544,0.00027047298,0.00020501667,0.0005354311,0.00030467892,0.00025872226,0.0012342798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020745589,0.000046560894,0.00053491304,0.00036442332,0.0000307482,0.00036034087,0.000118215394,0.006579496,0.8674879,0.0038686628,0.0023540608,0.11804724],"study_design_scores_gemma":[0.00009236924,0.0016850255,0.0043520876,0.00004841356,0.00016960409,0.003867128,0.00005613747,0.07795653,0.829288,0.0017318509,0.08064498,0.000107946005],"about_ca_topic_score_codex":0.00014578582,"about_ca_topic_score_gemma":0.00014355044,"teacher_disagreement_score":0.0023643102,"about_ca_system_score_codex":0.0002729987,"about_ca_system_score_gemma":0.00022254807,"threshold_uncertainty_score":0.007909417},"labels":[],"label_agreement":null},{"id":"W2945129895","doi":"10.3390/en12101834","title":"Experimental Study of a Moored Floating Oscillating Water Column Wave-Energy Converter and of a Moored Cubic Box","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Oscillating Water Column; Mooring; Marine engineering; Body orifice; Engineering; Amplitude; Mechanics; Energy (signal processing); Wave energy converter; Physics; Mechanical engineering","score_opus":0.00805118310595835,"score_gpt":0.18482050499907177,"score_spread":0.17676932189311342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945129895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952305,0.000027303373,0.0034431193,0.000024627217,0.000018957855,0.000044750865,0.00014255254,0.000065085864,0.0010030307],"genre_scores_gemma":[0.99127156,0.00005316819,0.006307136,0.000025488125,0.0000054927254,0.000060877752,0.00017631863,0.00001613515,0.0020839619],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969745,0.000020255591,0.000013610885,0.00009057682,0.0001308546,0.000047251368],"domain_scores_gemma":[0.99968123,0.00006971215,0.000029847566,0.00006962532,0.00008135817,0.000068288406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024077207,0.00033650434,0.00026740404,0.00022854567,0.00033270798,0.00023396958,0.0005363748,0.00049550546,0.003223443],"category_scores_gemma":[0.0004769046,0.00014431504,0.00023729767,0.00021913616,0.0004037093,0.00035004792,0.0005527336,0.0004092603,0.0003515762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006105836,0.0006038489,0.0053429366,0.00012929476,0.000015094473,0.00034117463,0.00022713652,0.0077597504,0.97060883,0.00050756685,0.00026436747,0.013589511],"study_design_scores_gemma":[0.00015533378,0.006080555,0.035545852,0.000031871466,0.00004037,0.00029811563,0.000627625,0.060337164,0.891911,0.000320657,0.0045820125,0.00006945745],"about_ca_topic_score_codex":0.0011240045,"about_ca_topic_score_gemma":0.0012576478,"teacher_disagreement_score":0.003223443,"about_ca_system_score_codex":0.0001467052,"about_ca_system_score_gemma":0.00031155453,"threshold_uncertainty_score":0.0107834935},"labels":[],"label_agreement":null},{"id":"W2945135018","doi":"10.3390/en12101899","title":"Wind Resource Assessment of the Southernmost Region of Thailand Using Atmospheric and Computational Fluid Dynamics Wind Flow Modeling","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"National Renewable Energy Laboratory","keywords":"Wind power; Environmental science; Wind resource assessment; Meteorology; Weather Research and Forecasting Model; Computational fluid dynamics; Wind speed; Wind direction; Maximum sustained wind; Wind gradient; Geography; Engineering","score_opus":0.010899044292001467,"score_gpt":0.21774830125374142,"score_spread":0.20684925696173995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945135018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98106647,0.00027328957,0.01191729,0.0000832474,0.000006869942,0.00004313126,0.00096107234,0.0001048707,0.005543725],"genre_scores_gemma":[0.9961577,0.00015195065,0.0028191777,0.0000050935473,0.0000027687615,0.000019878815,0.0003676287,0.000006522784,0.00046933047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991167,0.000019982825,0.000008626704,0.000013777613,0.000028913164,0.000017019443],"domain_scores_gemma":[0.9998679,0.000034574216,0.00002717532,0.000006549964,0.000041784882,0.000021965916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017626096,0.0004473647,0.00021646376,0.0009101142,0.00045434016,0.0008848293,0.00015591961,0.0002664662,0.00063024677],"category_scores_gemma":[0.0002856113,0.00016342106,0.00040203752,0.00096744805,0.00019121166,0.0005410933,0.00040040968,0.00016842809,0.00010687177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019165146,0.00007380047,0.13278222,0.00018618186,0.00007446774,0.0016426207,0.00033059483,0.80549556,0.011813077,0.0014448095,0.0004977109,0.04546722],"study_design_scores_gemma":[0.000033058273,0.00010626809,0.091777876,0.000059805854,0.000046613903,0.00024547888,0.0008210685,0.9013148,0.0028120684,0.0008934838,0.0018473302,0.000042181124],"about_ca_topic_score_codex":0.034488853,"about_ca_topic_score_gemma":0.028298631,"teacher_disagreement_score":0.034488853,"about_ca_system_score_codex":0.00027026443,"about_ca_system_score_gemma":0.0007503179,"threshold_uncertainty_score":0.06857622},"labels":[],"label_agreement":null},{"id":"W2945864667","doi":"10.3390/en12101998","title":"Estimation of the Daily Variability of Aggregate Wind Power Generation in Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind power; Kriging; Covariance; Meteorology; Aggregate (composite); Gaussian; Econometrics; Variogram; Covariance function; Wind speed; Environmental science; Statistics; Computer science; Mathematics; Geography; Engineering","score_opus":0.005954374405496287,"score_gpt":0.17385598740978445,"score_spread":0.16790161300428816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945864667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98796535,0.00019602141,0.0058166645,0.000228949,0.000008895452,0.000025124285,0.0028113911,0.00017777522,0.0027698353],"genre_scores_gemma":[0.995048,0.00011241268,0.002243823,0.000017585742,0.0000025410015,0.000005203177,0.0015954796,0.000012206721,0.000962676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976486,0.00003513549,0.000009787957,0.00005149686,0.00008253453,0.000056173885],"domain_scores_gemma":[0.9995327,0.000117672105,0.000045993027,0.000028718421,0.00022623864,0.000048643506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005891908,0.00040729254,0.00029518473,0.00080710393,0.0006693055,0.001025186,0.0008961227,0.00030801634,0.0008933196],"category_scores_gemma":[0.0016942985,0.00027904514,0.00035216453,0.0015912494,0.0004585526,0.00029056252,0.00037595525,0.0003916891,0.00013084564],"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":[0.00019852504,0.000060192528,0.2352506,0.000041234223,0.00014139102,0.0002026007,0.00023326783,0.7238849,0.0014143115,0.00275186,0.003079867,0.032741264],"study_design_scores_gemma":[0.000022263552,0.00001434931,0.18304081,0.000014092719,0.000023743178,0.000021350132,0.0003398374,0.8134868,0.0004411655,0.0006368412,0.0019270568,0.000031661482],"about_ca_topic_score_codex":0.9907594,"about_ca_topic_score_gemma":0.99020785,"teacher_disagreement_score":0.013013335,"about_ca_system_score_codex":0.013013335,"about_ca_system_score_gemma":0.012539705,"threshold_uncertainty_score":0.094418764},"labels":[],"label_agreement":null},{"id":"W2946903329","doi":"10.3390/en12112061","title":"Investigation of Two-Phase Flow in a Hydrophobic Fuel-Cell Micro-Channel","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microchannel; Proton exchange membrane fuel cell; Flow (mathematics); Materials science; Flow visualization; Two-phase flow; Mechanics; Cathode; Open-channel flow; Electrolyte; Fuel cells; Chemistry; Chemical engineering; Nanotechnology; Engineering; Electrical engineering; Physics","score_opus":0.010016617813826323,"score_gpt":0.22538013517954583,"score_spread":0.21536351736571951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946903329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885859,0.00017107395,0.010298446,0.000032646232,0.000005406863,0.000025822907,0.00005106382,0.00005343344,0.0007763017],"genre_scores_gemma":[0.99197114,0.00011121123,0.007470055,0.0000073528677,0.000003035228,0.000014954356,0.00003538749,0.000004484955,0.00038233676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999653,0.0000035072444,9.957464e-7,0.00000945193,0.000010548635,0.0000102596505],"domain_scores_gemma":[0.9999014,0.000054963868,0.000015098439,0.0000063372954,0.000012407975,0.000009782827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007841837,0.00013034166,0.00015955705,0.00019286125,0.00024396842,0.00020222427,0.00014990114,0.0002495973,0.00059331674],"category_scores_gemma":[0.00016393812,0.00007251852,0.00008627508,0.000102430364,0.00028510203,0.0002941304,0.00011688156,0.00020325113,0.000059509683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091826965,0.00008423206,0.0015093972,0.000087487635,0.000005115209,0.00018862812,0.000105558414,0.011711428,0.9764515,0.0017991661,0.000055774326,0.007909886],"study_design_scores_gemma":[0.00003663195,0.00032635822,0.00836286,0.0000096097165,0.00000803944,0.0002488731,0.00015023339,0.28346673,0.7053161,0.0008274654,0.0012227601,0.000024367306],"about_ca_topic_score_codex":0.0008881556,"about_ca_topic_score_gemma":0.00063730875,"teacher_disagreement_score":0.0008881556,"about_ca_system_score_codex":0.0002789837,"about_ca_system_score_gemma":0.00026779898,"threshold_uncertainty_score":0.0020241737},"labels":[],"label_agreement":null},{"id":"W2948259384","doi":"10.3390/en12112183","title":"Derivative-Free Direct Search Optimization Method for Enhancing Performance of Analytical Design Approach-Based Digital Controller for Switching Regulator","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Control theory (sociology); Settling time; Digital control; Robustness (evolution); Controller (irrigation); Open-loop controller; Sampling (signal processing); Computer science; Control engineering; Engineering; Step response; Electronic engineering; Control (management); Closed loop","score_opus":0.01462074700144838,"score_gpt":0.24141946699920608,"score_spread":0.2267987199977577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948259384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01563682,0.00023895365,0.97846675,0.00005607068,0.000023852457,0.000040247356,0.000010647659,0.00023118804,0.0052955393],"genre_scores_gemma":[0.61783504,0.00029416676,0.376888,0.000070068585,0.000022308612,0.0002921148,0.000051390587,0.00009118808,0.0044557205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983525,0.000048406488,0.0000073939336,0.000020768764,0.00007663056,0.000011468648],"domain_scores_gemma":[0.9997936,0.00010090773,0.000026697833,0.000012259044,0.00006024907,0.0000062633317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004887072,0.00056318723,0.00038478035,0.0004232347,0.0003077199,0.0004903666,0.00040374856,0.0004543025,0.0014681505],"category_scores_gemma":[0.00083835394,0.00026461904,0.00033052466,0.00031758114,0.0003450155,0.00024509357,0.00034665279,0.0004206869,0.00021659443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006965228,0.00006226869,0.00041844253,0.00021204441,0.00003682338,0.00006130494,0.00011658179,0.8930611,0.015447311,0.009793466,0.0008622842,0.079858705],"study_design_scores_gemma":[0.0000070150213,0.000028226597,0.00005729708,0.0000040827085,0.000003853954,0.000009155807,0.000004863243,0.99789715,0.0009863167,0.00037424278,0.0006249481,0.000002779268],"about_ca_topic_score_codex":0.0025031976,"about_ca_topic_score_gemma":0.0027992947,"teacher_disagreement_score":0.0025031976,"about_ca_system_score_codex":0.00041135802,"about_ca_system_score_gemma":0.00076776894,"threshold_uncertainty_score":0.004977286},"labels":[],"label_agreement":null},{"id":"W2948640320","doi":"10.3390/en12112170","title":"Domestic Hot Water Storage Tank Utilizing Phase Change Materials (PCMs): Numerical Approach","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal energy storage; Storage water heater; Storage tank; Phase-change material; Environmental science; Photovoltaic system; Thermal; Energy storage; Nuclear engineering; Water storage; Phase change; Environmental engineering; Waste management; Materials science; Process engineering; Meteorology; Engineering; Water heater; Electrical engineering; Thermodynamics; Mechanical engineering; Engineering physics","score_opus":0.051331103903122365,"score_gpt":0.2974912780668306,"score_spread":0.24616017416370825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948640320","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4283722,0.0009525831,0.5286676,0.0005245201,0.00015408457,0.00032233066,0.00064703467,0.00075097365,0.039608724],"genre_scores_gemma":[0.9043505,0.00051832496,0.08803508,0.00004128754,0.0000179481,0.00027177215,0.00015795874,0.00005471829,0.0065525607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999366,0.000014338426,0.0000034985085,0.000011017458,0.000024583142,0.000010037634],"domain_scores_gemma":[0.9998447,0.000077072415,0.000024641202,0.0000097598795,0.000036752102,0.0000070518554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001654433,0.00035964287,0.0005254401,0.00030663048,0.00046473372,0.00056734105,0.0006512713,0.0009428693,0.002480983],"category_scores_gemma":[0.0003850042,0.00030711995,0.0006151367,0.00043175704,0.00041020045,0.0004028055,0.00032929832,0.0004131979,0.00020956494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031553474,0.000037513764,0.0005728057,0.00009165546,0.000008871365,0.00007614035,0.000032870994,0.98444104,0.0077874945,0.0026037279,0.0001447752,0.0041716304],"study_design_scores_gemma":[0.0000059946965,0.000014002544,0.000069473776,0.0000032923122,0.0000023868326,0.000009306389,0.000010310247,0.99852103,0.000864943,0.00021114167,0.00028453866,0.000003465648],"about_ca_topic_score_codex":0.010261001,"about_ca_topic_score_gemma":0.0074031013,"teacher_disagreement_score":0.010261001,"about_ca_system_score_codex":0.0006449082,"about_ca_system_score_gemma":0.0009138388,"threshold_uncertainty_score":0.02040255},"labels":[],"label_agreement":null},{"id":"W2948785366","doi":"10.3390/en12112132","title":"Design and Analysis of Flexible Multi-Microgrid Interconnection Scheme for Mitigating Power Fluctuation and Optimizing Storage Capacity","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Microgrid; Interconnection; Energy storage; Renewable energy; Converters; Power (physics); Computer science; Scheme (mathematics); Sizing; Reliability engineering; Electronic engineering; Engineering; Electrical engineering; Telecommunications; Voltage; Mathematics","score_opus":0.012933173224515166,"score_gpt":0.20944181514094576,"score_spread":0.19650864191643058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948785366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065369464,0.00070416456,0.91852605,0.00016403424,0.000044561944,0.00016029799,0.00007204162,0.00030126295,0.014658152],"genre_scores_gemma":[0.96555305,0.0003774602,0.03182083,0.00001791284,0.000012867127,0.0001079261,0.000046899044,0.000019444298,0.0020434966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999841,0.000036766305,0.000008532861,0.00003789181,0.00005441569,0.000021277589],"domain_scores_gemma":[0.99989057,0.000019559426,0.000028755567,0.0000130232875,0.000039621194,0.000008572305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000297754,0.0005952479,0.0004727206,0.00033243943,0.0003958164,0.00071174325,0.0006362,0.00036123622,0.0019187388],"category_scores_gemma":[0.00035209255,0.0002561202,0.00044352593,0.0003561735,0.000332701,0.00054046727,0.0003693151,0.00026172827,0.00022225482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005547357,0.00002346729,0.0005524149,0.0001444494,0.000027617201,0.00012117246,0.00006301957,0.94692963,0.014354882,0.008892051,0.00078051124,0.028055238],"study_design_scores_gemma":[0.0000046185987,0.00005511429,0.0001761425,0.0000049784226,0.000008832594,0.000021354575,0.0000151952445,0.9973374,0.0010130677,0.0008042579,0.00055474485,0.0000042601146],"about_ca_topic_score_codex":0.0034473978,"about_ca_topic_score_gemma":0.0033635998,"teacher_disagreement_score":0.0034473978,"about_ca_system_score_codex":0.00070953043,"about_ca_system_score_gemma":0.00056108367,"threshold_uncertainty_score":0.0068546534},"labels":[],"label_agreement":null},{"id":"W2949136441","doi":"10.3390/en12122237","title":"Opportunity for Improving Lead-Acid Battery Management of Photovoltaic-Genset-Battery Hybrid Power Systems Based on Measured Field Data","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Battery (electricity); Lead–acid battery; Photovoltaic system; Automotive engineering; Automotive battery; State of charge; Computer science; Electrical engineering; Power (physics); Engineering","score_opus":0.03985263439946353,"score_gpt":0.265490645444344,"score_spread":0.22563801104488046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949136441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82821584,0.00072396983,0.16060385,0.00048098914,0.00006275899,0.00021293446,0.0003834864,0.0022547701,0.0070613497],"genre_scores_gemma":[0.98844415,0.00014212988,0.010657464,0.000026026277,0.000007564476,0.000022697035,0.00010346245,0.000020081361,0.0005764377],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983895,0.000028701807,0.0000113095075,0.00002235862,0.000085544714,0.000013033748],"domain_scores_gemma":[0.99963224,0.00010849641,0.000034443787,0.000037231603,0.00017101094,0.000016632466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037418245,0.00033565736,0.00036462257,0.00037087454,0.00027997757,0.00068764435,0.0005473955,0.00026469602,0.0012073789],"category_scores_gemma":[0.0007546933,0.00011851801,0.00010818534,0.00035047735,0.0002101418,0.00058660633,0.00025948609,0.0003026772,0.00021452436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009324195,0.00035548743,0.05879722,0.0005140973,0.000072608804,0.000345415,0.00059649895,0.04878438,0.60606045,0.0010169972,0.0013955082,0.28112897],"study_design_scores_gemma":[0.00014997958,0.0020265307,0.108787626,0.00012784552,0.00011868968,0.00044538375,0.0010155925,0.29887855,0.5691862,0.0024420535,0.016705766,0.00011582685],"about_ca_topic_score_codex":0.0055209277,"about_ca_topic_score_gemma":0.012405702,"teacher_disagreement_score":0.0055209277,"about_ca_system_score_codex":0.00039607988,"about_ca_system_score_gemma":0.0004616092,"threshold_uncertainty_score":0.010977626},"labels":[],"label_agreement":null},{"id":"W2949681747","doi":"10.3390/en12122419","title":"Enhanced Tight Oil Recovery by Volume Fracturing in Chang 7 Reservoir: Experimental Study and Field Practice","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; China University of Geosciences; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Petroleum engineering; Tight oil; Hydraulic fracturing; Tight gas; Geology; Volume (thermodynamics); Enhanced oil recovery; Imbibition; Permeability (electromagnetism); Water flooding; Well stimulation; Oil field; Oil in place; Fracturing fluid; Geotechnical engineering; Reservoir engineering; Oil shale; Petroleum; Chemistry","score_opus":0.0042368162977179605,"score_gpt":0.22471934339943214,"score_spread":0.22048252710171418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949681747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981469,0.00003691949,0.001359074,0.000013857622,0.000003521067,0.00003262524,0.000086863016,0.00003019224,0.00029001982],"genre_scores_gemma":[0.9972696,0.00007808026,0.0020257444,0.000006549024,0.0000023320265,0.000027857426,0.000066603985,0.000008136956,0.00051501335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982446,0.000017918239,0.0000136077715,0.000036059362,0.00006548584,0.000042557618],"domain_scores_gemma":[0.9997538,0.0000679015,0.000047721758,0.00002759433,0.00007368832,0.000029364879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037425128,0.00035992154,0.00033206787,0.0005083816,0.00036941684,0.00019262655,0.00032656093,0.00037928837,0.0010312742],"category_scores_gemma":[0.00033825584,0.00012265972,0.00032778207,0.0004020151,0.00034933834,0.00044906943,0.00026308803,0.0003760212,0.000118830336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004894143,0.00054635305,0.002959379,0.00016664446,0.0000100278685,0.00022609072,0.00015511035,0.0030723114,0.9847669,0.00019127139,0.00009115754,0.0073253014],"study_design_scores_gemma":[0.000049267626,0.0043947785,0.008568018,0.000010134936,0.0000329988,0.00008102588,0.00023542698,0.010504785,0.975116,0.00010626433,0.0008653849,0.000035888694],"about_ca_topic_score_codex":0.0026370313,"about_ca_topic_score_gemma":0.004389885,"teacher_disagreement_score":0.0026370313,"about_ca_system_score_codex":0.00030557316,"about_ca_system_score_gemma":0.00032414615,"threshold_uncertainty_score":0.005243361},"labels":[],"label_agreement":null},{"id":"W2950568013","doi":"10.3390/en12122228","title":"Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sizing; Renewable energy; Scheduling (production processes); Grid; Probabilistic logic; Computer science; Reliability engineering; Energy storage; Energy management; Mathematical optimization; Engineering; Energy (signal processing); Electrical engineering; Operations management; Power (physics); Artificial intelligence","score_opus":0.013826301473096323,"score_gpt":0.21414906321322172,"score_spread":0.2003227617401254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950568013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635983,0.00011552926,0.033014625,0.0002469836,0.0000176202,0.000055331777,0.00029352526,0.00012520004,0.0025330137],"genre_scores_gemma":[0.9967957,0.000025544614,0.0029181587,0.000008022392,0.0000030658257,0.000006939161,0.000049315884,0.0000039002307,0.0001893244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996014,0.00014466245,0.00002232378,0.00005487799,0.00011319752,0.00006362656],"domain_scores_gemma":[0.9979001,0.0012404536,0.00021763486,0.00029252644,0.0002790564,0.000070247865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092037144,0.00046121658,0.00047302598,0.00028927668,0.00028460694,0.0005060847,0.00062378054,0.000488703,0.000618251],"category_scores_gemma":[0.004092893,0.00020558045,0.0002637762,0.0005724552,0.00048335374,0.00052350864,0.0003992502,0.0005023568,0.000050057773],"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":[0.0001464246,0.00006370402,0.006570076,0.0000338385,0.000017928267,0.00030078608,0.00003738939,0.9841291,0.00078974443,0.00096861826,0.00025631225,0.006686137],"study_design_scores_gemma":[0.000021348118,0.00012206968,0.0041502584,0.00000458775,0.000012858174,0.00007064266,0.000109867695,0.9919504,0.00242157,0.0008111008,0.00031567074,0.000009654384],"about_ca_topic_score_codex":0.029705137,"about_ca_topic_score_gemma":0.026136952,"teacher_disagreement_score":0.97029483,"about_ca_system_score_codex":0.00077218085,"about_ca_system_score_gemma":0.0008285393,"threshold_uncertainty_score":0.059064448},"labels":[],"label_agreement":null},{"id":"W2950902128","doi":"10.3390/en12122259","title":"Selected Papers from the XI International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2018)","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Momentum (technical analysis); Momentum transfer; Heat transfer; Mass transfer; Engineering physics; Physics; Political science; Mechanics; Economics; Optics","score_opus":0.009114775084156947,"score_gpt":0.19026496774147653,"score_spread":0.18115019265731958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950902128","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":[0.005706181,0.2592397,0.078918904,0.028828176,0.36579812,0.00072622305,0.00964669,0.003779284,0.24735685],"genre_scores_gemma":[0.01663532,0.1675412,0.026896417,0.0035893996,0.09156092,0.0004562644,0.019277295,0.004762139,0.66928107],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99819356,0.00015783015,0.00011419987,0.00031309912,0.0010779543,0.00014336391],"domain_scores_gemma":[0.99419373,0.0006114217,0.00017998708,0.00030575573,0.003597312,0.0011117075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022712692,0.0018270377,0.0017335215,0.004536347,0.0010103874,0.0042842007,0.0013174696,0.001044284,0.14890377],"category_scores_gemma":[0.0043813027,0.00047421694,0.0013262742,0.00518817,0.00043027173,0.002596149,0.0021728799,0.0025930011,0.06479042],"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":[0.00008188865,0.000055191136,0.0002570993,0.00058011926,0.000037136924,0.000059686885,0.00004326519,0.000732363,0.0012798269,0.0017850613,0.8565995,0.13848877],"study_design_scores_gemma":[0.000016551183,0.00007519134,0.0008198233,0.00043789964,0.00004303105,0.00013278674,0.000057961566,0.0010672783,0.0015245193,0.0021362011,0.9936614,0.00002740387],"about_ca_topic_score_codex":0.0019129888,"about_ca_topic_score_gemma":0.0033770055,"teacher_disagreement_score":0.14890377,"about_ca_system_score_codex":0.0012031433,"about_ca_system_score_gemma":0.0022045034,"threshold_uncertainty_score":0.49813277},"labels":[],"label_agreement":null},{"id":"W2951030355","doi":"10.3390/en12122390","title":"Viscosity–Temperature–Pressure Relationship of Extra-Heavy Oil (Bitumen): Empirical Modelling versus Artificial Neural Network (ANN)","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":20,"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":"Viscosity; Asphalt; Atmospheric pressure; Analytical Chemistry (journal); Empirical modelling; Asphaltene; Chemistry; Thermodynamics; Materials science; Mineralogy; Chromatography; Composite material; Physics; Meteorology; Organic chemistry; Simulation","score_opus":0.03710321887437994,"score_gpt":0.271602541518033,"score_spread":0.23449932264365303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951030355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97377646,0.0003137126,0.025076339,0.00004165836,0.000009960927,0.000011901165,0.000061362254,0.00010848144,0.000600176],"genre_scores_gemma":[0.99410194,0.00022901034,0.005176246,0.0000056538347,0.0000028872334,0.000011626167,0.00009473924,0.000008331541,0.00036952444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998388,0.000027654161,0.000016014896,0.00003746807,0.00005855955,0.000021565485],"domain_scores_gemma":[0.9995988,0.00017868647,0.00010087288,0.000024769091,0.00008796359,0.000008946216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055690226,0.00052423746,0.00033733787,0.0005635123,0.00011404634,0.00040934223,0.00038075433,0.00046333438,0.00034945275],"category_scores_gemma":[0.0013602168,0.00025810138,0.0003892718,0.000642952,0.00019999249,0.00063861936,0.00020146543,0.000491031,0.00010336319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006554238,0.00036007853,0.03768432,0.00031239176,0.00019201881,0.00032916246,0.00018180686,0.7447072,0.1445651,0.00063492416,0.00020882241,0.07016867],"study_design_scores_gemma":[0.0000040146533,0.00008990879,0.009484563,0.000006662616,0.00002429389,0.000037390913,0.000017515862,0.96619004,0.023881905,0.00009043112,0.00015530639,0.000017940853],"about_ca_topic_score_codex":0.0060178344,"about_ca_topic_score_gemma":0.0055073076,"teacher_disagreement_score":0.0060178344,"about_ca_system_score_codex":0.00051313854,"about_ca_system_score_gemma":0.00021616551,"threshold_uncertainty_score":0.011965632},"labels":[],"label_agreement":null},{"id":"W2952068422","doi":"10.3390/en12122299","title":"Alkaline Mineral Soil Amendment: A Climate Change ‘Stabilization Wedge’?","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Weathering; Soil production function; Carbon sequestration; Alkali soil; Amendment; Soil water; Pedogenesis; Carbon dioxide; Environmental science; Chemistry; Soil science; Environmental chemistry; Geochemistry; Geology","score_opus":0.016378124328248186,"score_gpt":0.244963418444363,"score_spread":0.22858529411611483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952068422","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2837731,0.6200914,0.027748639,0.0065796697,0.0022597392,0.00020074313,0.0012754523,0.0003323853,0.057738952],"genre_scores_gemma":[0.727111,0.25314367,0.0066613643,0.0012845241,0.00034991372,0.00009293603,0.00043628024,0.000048123897,0.010872232],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997942,0.00003688993,0.000013463062,0.00004885477,0.000067985755,0.000038703663],"domain_scores_gemma":[0.9998729,0.00005347076,0.000028069026,0.000007930517,0.000029312807,0.000008334716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032626372,0.00036674493,0.000490822,0.00039868255,0.00020895203,0.00087179086,0.00040564823,0.00083694886,0.0024997257],"category_scores_gemma":[0.000379371,0.00014206143,0.0004738934,0.0004992618,0.00041790676,0.0010335353,0.00046731802,0.0005322001,0.00039299595],"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":[0.0006942756,0.00025733022,0.0059936466,0.030273108,0.00059610285,0.0019581506,0.00031017576,0.0115923565,0.4048828,0.08536584,0.009585167,0.44849116],"study_design_scores_gemma":[0.000052520158,0.0011064345,0.0076672575,0.0019622506,0.0006181365,0.0014828903,0.0007685647,0.005611077,0.22818103,0.027855095,0.72460485,0.00008989326],"about_ca_topic_score_codex":0.0008848769,"about_ca_topic_score_gemma":0.0024299452,"teacher_disagreement_score":0.0024997257,"about_ca_system_score_codex":0.0005171164,"about_ca_system_score_gemma":0.00058622763,"threshold_uncertainty_score":0.008362412},"labels":[],"label_agreement":null},{"id":"W2953593042","doi":"10.3390/en12122450","title":"Tip-Bed Velocity and Scour Depth of Horizontal-Axis Tidal Turbine with Consideration of Tip Clearance","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":16,"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":"Universiti Teknologi Malaysia; Tianjin University; Universiti Malaya; Science Fund for Creative Research Groups; Dalian University of Technology; Queen's University; University of Oxford; National Natural Science Foundation of China; Natural Science Foundation of Tianjin City; Queen's University Belfast","keywords":"Turbine; Tidal power; Mechanics; Flow velocity; Flow (mathematics); Geology; Geotechnical engineering; RADIUS; Marine engineering; Engineering; Physics","score_opus":0.005043676378967773,"score_gpt":0.19206465332943998,"score_spread":0.1870209769504722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953593042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99084103,0.00008292519,0.008389105,0.000014404548,0.0000051654647,0.000006509179,0.000033960776,0.000031184434,0.0005956733],"genre_scores_gemma":[0.9992768,0.000033199187,0.0005833434,0.0000016304522,8.364554e-7,0.000001296656,0.000019116796,0.0000018323749,0.00008198249],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991405,0.000009277694,0.0000055354435,0.000017434906,0.000036384277,0.000017403625],"domain_scores_gemma":[0.99965525,0.00011586783,0.000084678766,0.000028035256,0.00009661621,0.000019458497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019535293,0.00022272195,0.00018310451,0.00027757752,0.00014589344,0.00024628144,0.0001696005,0.00023969487,0.00032797805],"category_scores_gemma":[0.0006346699,0.00011447421,0.00016871934,0.0002464393,0.00025262882,0.00032698398,0.0001832818,0.00026064503,0.000080371465],"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":[0.00042763332,0.00015979841,0.06219392,0.00023521058,0.000026528829,0.00076417025,0.00021401141,0.11870345,0.78757745,0.0015135782,0.00016917461,0.028015016],"study_design_scores_gemma":[0.000033393822,0.000778152,0.11856127,0.00001861486,0.000027679884,0.0002152401,0.0001961369,0.64557946,0.23378757,0.0003749271,0.0003847678,0.000042782733],"about_ca_topic_score_codex":0.0026540842,"about_ca_topic_score_gemma":0.0025362752,"teacher_disagreement_score":0.0026540842,"about_ca_system_score_codex":0.00024427846,"about_ca_system_score_gemma":0.00027192483,"threshold_uncertainty_score":0.005277276},"labels":[],"label_agreement":null},{"id":"W2954166008","doi":"10.3390/en12132465","title":"Wind Farm Layout Upgrade Optimization","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Al-Azhar University","keywords":"Upgrade; Wind power; Offshore wind power; Grid; Range (aeronautics); Production (economics); Cost of electricity by source; Energy (signal processing); Electricity generation; Marine engineering; Engineering; Computer science; Power (physics); Electrical engineering; Mathematics; Aerospace engineering; Statistics","score_opus":0.005574525527387297,"score_gpt":0.19034692488181265,"score_spread":0.18477239935442535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954166008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38942873,0.0010594056,0.58250487,0.00024904296,0.00022309895,0.00025384084,0.0007719301,0.0012958137,0.024213165],"genre_scores_gemma":[0.89211166,0.0003354173,0.10108115,0.000059747603,0.000027361433,0.00010539909,0.00054617814,0.00014436012,0.0055888463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996921,0.000090763286,0.000010569041,0.00006725531,0.00006474075,0.0000745497],"domain_scores_gemma":[0.9995844,0.0001814851,0.000059166046,0.000054304015,0.00008943473,0.000031153642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005328584,0.0009356069,0.00089975115,0.00046374113,0.0002684936,0.0006418117,0.00065596134,0.0008619768,0.0047524767],"category_scores_gemma":[0.0012837615,0.000506592,0.0006517522,0.00059680897,0.0002871707,0.00085406844,0.00045131365,0.0005931567,0.000544968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055139808,0.00003769975,0.0008991083,0.00010055319,0.000021440452,0.00010039843,0.000015583124,0.95773375,0.0046525216,0.0008857883,0.0010872935,0.03441072],"study_design_scores_gemma":[0.000029553952,0.00025787484,0.0021824911,0.000016954453,0.000041529995,0.00012506325,0.00006759653,0.9897283,0.0022635448,0.0014979935,0.0037757584,0.000013415479],"about_ca_topic_score_codex":0.0015980508,"about_ca_topic_score_gemma":0.0027475671,"teacher_disagreement_score":0.0047524767,"about_ca_system_score_codex":0.00065975764,"about_ca_system_score_gemma":0.0005708337,"threshold_uncertainty_score":0.015898645},"labels":[],"label_agreement":null},{"id":"W2954199286","doi":"10.3390/en12132537","title":"On the Use of Infrared Thermography and Acousto—Ultrasonics NDT Techniques for Ceramic-Coated Sandwich Structures","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Thermography; Nondestructive testing; Aerospace; Coating; Ceramic; Materials science; Structural material; Aerospace materials; Fabrication; Infrared; Forensic engineering; Composite material; Engineering; Optics; Aerospace engineering; Radiology","score_opus":0.01301344297593927,"score_gpt":0.20200254023118677,"score_spread":0.1889890972552475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954199286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49327657,0.024230897,0.46489117,0.00042966462,0.0002958073,0.0003282439,0.00017180332,0.0006740953,0.015701842],"genre_scores_gemma":[0.66584384,0.010623251,0.30911797,0.00024283165,0.00012849219,0.00011392139,0.000108514694,0.000112215115,0.013708941],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989711,0.00016225401,0.000029201141,0.00018199006,0.0006192092,0.00003622262],"domain_scores_gemma":[0.9985304,0.00070268806,0.00026281312,0.00016753998,0.00029772674,0.00003882224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082458154,0.0006857191,0.00036211667,0.0014630076,0.00020488848,0.00060929765,0.0007313005,0.00070272904,0.0016691221],"category_scores_gemma":[0.0009772517,0.00032615455,0.0003697461,0.00063070224,0.0010259936,0.00082521664,0.0006406631,0.00067284674,0.0006325551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008074903,0.000050368686,0.00087263196,0.00024863964,0.000015767542,0.00009903726,0.000115365896,0.00042712403,0.93235606,0.00075568917,0.00008611714,0.06489233],"study_design_scores_gemma":[0.0000071741915,0.0005263373,0.004009576,0.00003881051,0.000043788237,0.00083434506,0.000080792226,0.005185554,0.9849556,0.0002402877,0.0040384033,0.000039239916],"about_ca_topic_score_codex":0.00045916362,"about_ca_topic_score_gemma":0.0012950272,"teacher_disagreement_score":0.0016691221,"about_ca_system_score_codex":0.00035906662,"about_ca_system_score_gemma":0.00033304945,"threshold_uncertainty_score":0.0055837035},"labels":[],"label_agreement":null},{"id":"W2955828478","doi":"10.3390/en12132545","title":"Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Land cover; Air quality index; Land use; Pollutant; Visibility; Air pollutants; Air pollution; Hydrology (agriculture); Physical geography; Land use, land-use change and forestry; Geography; Ecology; Meteorology; Biology","score_opus":0.08928206567916133,"score_gpt":0.31878404246883374,"score_spread":0.2295019767896724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955828478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911183,0.000058822243,0.00015277888,0.00005140554,0.000002165701,0.000014270719,0.0003306955,0.0000045475444,0.00027357534],"genre_scores_gemma":[0.9985226,0.00009972709,0.0003751667,0.000017288718,0.000006300097,0.000017028182,0.0006646194,0.0000028745471,0.00029448015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960405,0.00007419525,0.0000289639,0.000089604255,0.00008730365,0.000115841554],"domain_scores_gemma":[0.99954754,0.000115548144,0.0000887784,0.000040841893,0.00013794962,0.000069277834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042169128,0.0003353631,0.00036588937,0.001855405,0.0007748957,0.000718536,0.00048368788,0.00046405132,0.00095636223],"category_scores_gemma":[0.000668725,0.00027062668,0.0008480671,0.0039423443,0.00045397482,0.00040877215,0.00072936673,0.00046763106,0.00013346875],"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":[0.00004569955,0.00014428321,0.98533577,0.00004455034,0.00011650929,0.0041482933,0.0007596712,0.0026882451,0.0006766661,0.00018991879,0.0005241934,0.0053262035],"study_design_scores_gemma":[0.000006454886,0.000058281035,0.98148245,0.000014002142,0.00006041987,0.00047328067,0.0041696727,0.012458154,0.0002992015,0.000107032494,0.0008509,0.000020041942],"about_ca_topic_score_codex":0.17221297,"about_ca_topic_score_gemma":0.21419284,"teacher_disagreement_score":0.17221297,"about_ca_system_score_codex":0.0017454197,"about_ca_system_score_gemma":0.0011917595,"threshold_uncertainty_score":0.3424211},"labels":[],"label_agreement":null},{"id":"W2956025531","doi":"10.3390/en12132472","title":"A Type-2 Fuzzy Chance-Constrained Fractional Integrated Modeling Method for Energy System Management of Uncertainties and Risks","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Water resources management and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities","keywords":"Mathematical optimization; Renewable energy; Stochastic programming; Fuzzy logic; Electricity generation; Robustness (evolution); Computer science; Linear programming; Electricity; Robust optimization; Engineering; Power (physics); Mathematics; Artificial intelligence","score_opus":0.01755663701878073,"score_gpt":0.2350386641728025,"score_spread":0.21748202715402176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956025531","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":[0.0025777132,0.00015036039,0.99486864,0.000083502244,0.000027673805,0.000020073285,0.00002484997,0.000042151176,0.0022049083],"genre_scores_gemma":[0.5948109,0.00082875066,0.3980884,0.00018637424,0.00012783991,0.000410304,0.0001608397,0.00009963904,0.0052869627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999529,0.00015396152,0.000023239729,0.00008092864,0.00015215071,0.000060692284],"domain_scores_gemma":[0.99963963,0.00018578624,0.000055374272,0.000015431486,0.00008002288,0.000023702973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011849231,0.0011419648,0.0008974809,0.000824609,0.0006764347,0.0013723903,0.0012683047,0.0012308588,0.0023838743],"category_scores_gemma":[0.0013464926,0.00050577754,0.0016280907,0.0008866878,0.000566171,0.0011808072,0.00090206234,0.0012282132,0.00018493492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014632235,0.000014235316,0.0001880904,0.000048582715,0.000029184885,0.000044330125,0.00003617978,0.96476674,0.0007870937,0.020904714,0.0003428479,0.012823397],"study_design_scores_gemma":[0.0000015357042,0.000007898818,0.000021143733,0.0000053344734,0.000005271435,0.0000068572335,0.0000042220813,0.9963664,0.00011618867,0.0030433624,0.00041794067,0.0000037754678],"about_ca_topic_score_codex":0.008575981,"about_ca_topic_score_gemma":0.0064080553,"teacher_disagreement_score":0.008575981,"about_ca_system_score_codex":0.0011387195,"about_ca_system_score_gemma":0.0019509809,"threshold_uncertainty_score":0.017052114},"labels":[],"label_agreement":null},{"id":"W2957072925","doi":"10.3390/en12142675","title":"Allocation of Ontario’s Surplus Electricity to Different Power-to-Gas Applications","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":14,"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 Waterloo","funders":"","keywords":"Power to gas; Natural gas; Renewable energy; Natural gas prices; Renewable natural gas; Environmental science; Electricity; Electricity generation; Base load power plant; Waste management; Environmental economics; Power (physics); Fuel gas; Engineering; Economics; Distributed generation; Chemistry; Electrical engineering","score_opus":0.006406196409235593,"score_gpt":0.2111593048556787,"score_spread":0.2047531084464431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957072925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9101746,0.00031593337,0.002206071,0.0004959541,0.00001824673,0.00010997001,0.0015041272,0.000058142596,0.085117],"genre_scores_gemma":[0.9875628,0.00017396649,0.00071378413,0.0000404592,0.0000022352228,0.000014838188,0.00029338498,0.000012161953,0.011186394],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999526,0.000032196065,0.000006114032,0.00003576626,0.00021831735,0.0001816818],"domain_scores_gemma":[0.9996306,0.000043712116,0.000028231492,0.000016060741,0.00021272816,0.00006869789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020914954,0.00017533182,0.00012466976,0.00069499,0.001297759,0.0012256625,0.00042682365,0.00021916645,0.00420838],"category_scores_gemma":[0.0006564107,0.00010237285,0.00021107597,0.0011949525,0.00054994103,0.00037762334,0.00045543726,0.00020569572,0.00018631546],"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":[0.002832982,0.00035759347,0.31469586,0.00073677243,0.00028353618,0.0020732281,0.0037915525,0.14336686,0.0751891,0.09484774,0.035694204,0.32613057],"study_design_scores_gemma":[0.00015135581,0.00056634523,0.67283946,0.00016286448,0.00016378095,0.00034727526,0.014312618,0.08142413,0.03429748,0.008708999,0.18686935,0.00015629384],"about_ca_topic_score_codex":0.9336245,"about_ca_topic_score_gemma":0.9800933,"teacher_disagreement_score":0.066375494,"about_ca_system_score_codex":0.025983557,"about_ca_system_score_gemma":0.015968785,"threshold_uncertainty_score":0.18852478},"labels":[],"label_agreement":null},{"id":"W2957619766","doi":"10.3390/en12142716","title":"Wind Farm Modeling with Interpretable Physics-Informed Machine Learning","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Turbine; Wind power; Wake; Context (archaeology); Artificial neural network; Scale (ratio); Suite; Production (economics); Statistical model; Meteorology; Engineering; Machine learning; Computer science; Industrial engineering; Physics; Aerospace engineering; Electrical engineering; Geography","score_opus":0.007294411275338052,"score_gpt":0.19662834466051157,"score_spread":0.18933393338517351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957619766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16978782,0.0002832076,0.8237303,0.00051259587,0.00006840656,0.00008227833,0.0004237723,0.0014887687,0.003622849],"genre_scores_gemma":[0.9407724,0.00011003694,0.05705887,0.0000812251,0.000031738546,0.0001264485,0.0003481618,0.000051969047,0.00141911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998716,0.00003865269,0.00000928905,0.000036064608,0.000027342941,0.000017005555],"domain_scores_gemma":[0.99930537,0.00040835154,0.00009251956,0.00005184149,0.00012324906,0.000018628278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004924651,0.000606996,0.00039930447,0.00049157866,0.00033082857,0.00063953566,0.0008938139,0.0007757801,0.0010225138],"category_scores_gemma":[0.0020256476,0.00058527937,0.0005852858,0.0003472713,0.00049218704,0.0008158505,0.00048367915,0.0009221389,0.00020666292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031453364,0.00000702257,0.00022344355,0.0000027907652,0.000003536906,0.0000071182567,0.0000035036633,0.9971482,0.00010102519,0.00033886643,0.00006851547,0.0020927049],"study_design_scores_gemma":[6.6479055e-7,0.0000011641764,0.000034798722,3.21595e-7,3.2038247e-7,5.8220894e-7,5.4368854e-7,0.999597,0.000021080461,0.0003292643,0.000013678768,5.0257756e-7],"about_ca_topic_score_codex":0.013789936,"about_ca_topic_score_gemma":0.015391486,"teacher_disagreement_score":0.013789936,"about_ca_system_score_codex":0.0007291409,"about_ca_system_score_gemma":0.0008950164,"threshold_uncertainty_score":0.027419329},"labels":[],"label_agreement":null},{"id":"W2959686891","doi":"10.3390/en12142706","title":"Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"Zayed University; Thompson Rivers University","keywords":"Internet of Things; Computer science; Key (lock); Architecture; Emergency management; Drone; Wireless sensor network; Robustness (evolution); Computer security; Computer network","score_opus":0.005710713690112929,"score_gpt":0.18981570598393765,"score_spread":0.18410499229382474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959686891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14228565,0.0020741918,0.80506736,0.00059243705,0.00025790097,0.00009714835,0.00021160368,0.00039207283,0.049021613],"genre_scores_gemma":[0.93059206,0.0012482201,0.06017984,0.000076642194,0.000032386673,0.00006812609,0.0001923788,0.000026471882,0.0075840005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993455,0.0000143084135,0.0000025719469,0.000011426074,0.000024619878,0.000012356676],"domain_scores_gemma":[0.99995184,0.000011886475,0.000010463699,0.000009041943,0.000010339406,0.0000063987227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009763055,0.00032442657,0.00014224184,0.00014628084,0.00015532441,0.00034534588,0.0002412282,0.00020233306,0.0014723858],"category_scores_gemma":[0.00016908073,0.00007482325,0.0001697228,0.00017027782,0.00014822847,0.0004703095,0.00041242957,0.00026557897,0.0002423137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086774206,0.00009504386,0.002798992,0.0002682471,0.00005897734,0.00054344314,0.00006958115,0.67850024,0.076900676,0.07165292,0.0060898885,0.16293511],"study_design_scores_gemma":[0.000010071474,0.00026289278,0.0022575422,0.00003509465,0.000021045655,0.0001448977,0.00013656075,0.9254715,0.011024808,0.027580852,0.033036977,0.000017738894],"about_ca_topic_score_codex":0.00053216587,"about_ca_topic_score_gemma":0.00089817896,"teacher_disagreement_score":0.0014723858,"about_ca_system_score_codex":0.00019549511,"about_ca_system_score_gemma":0.00021140045,"threshold_uncertainty_score":0.0049256086},"labels":[],"label_agreement":null},{"id":"W2960562247","doi":"10.3390/en12142660","title":"Isolation and Characterization of Microalgae from Diverse Pakistani Habitats: Exploring Third-Generation Biofuel Potential","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Algal biology and biofuel production","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":"Université de Montréal","funders":"U.S. Air Force; U.S. Air Force Academy; Higher Education Commission, Pakistan; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense","keywords":"Biofuel; Biomass (ecology); Biodiesel; Oleic acid; Stearic acid; Raw material; Fatty acid; Productivity; Biodiesel production; Biology; Food science; Botany; Linoleic acid; Chemistry; Biotechnology; Ecology; Biochemistry","score_opus":0.021426121411109555,"score_gpt":0.21276654735933012,"score_spread":0.19134042594822057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960562247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937636,0.00081092946,0.002354432,0.00012160247,0.000019224935,0.00008534809,0.0011369566,0.000015209786,0.0016926861],"genre_scores_gemma":[0.9794574,0.0025686116,0.012696502,0.00011451123,0.000018256478,0.00013279749,0.0031670984,0.000016763266,0.0018279676],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999819,0.000011275896,0.000023182512,0.00004617517,0.000064140535,0.00003622651],"domain_scores_gemma":[0.99988735,0.000015080022,0.000029068366,0.0000073311803,0.0000383765,0.00002277806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016893828,0.00055136497,0.0004524243,0.0006455105,0.00056692486,0.00059148733,0.00019783512,0.0003106872,0.0004006458],"category_scores_gemma":[0.00017646847,0.0001643305,0.00037794354,0.001077229,0.00018618652,0.00035666552,0.00052808056,0.00046247875,0.0002839291],"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":[0.00003724459,0.000041290496,0.006129596,0.000099733115,0.0000074624063,0.00032141755,0.00016131862,0.00010813442,0.9873351,0.00003372694,0.00003407358,0.00569114],"study_design_scores_gemma":[0.000018577715,0.0008351302,0.23099071,0.00007468521,0.00008078554,0.0032886858,0.002731521,0.00070093083,0.75270987,0.00016536028,0.008359451,0.000044302218],"about_ca_topic_score_codex":0.0022269292,"about_ca_topic_score_gemma":0.00447362,"teacher_disagreement_score":0.0022269292,"about_ca_system_score_codex":0.00014630819,"about_ca_system_score_gemma":0.00040126525,"threshold_uncertainty_score":0.0044279695},"labels":[],"label_agreement":null},{"id":"W2960944079","doi":"10.3390/en12142694","title":"Application of Machine Learning in Transformer Health Index Prediction","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; École de Technologie Supérieure","funders":"","keywords":"Transformer; Reliability engineering; Test set; Computer science; Transformer oil; Machine learning; Engineering; Voltage; Artificial intelligence; Data mining; Electrical engineering","score_opus":0.003880417165315889,"score_gpt":0.1988577170019985,"score_spread":0.1949772998366826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960944079","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18785162,0.0009677339,0.805895,0.00033277532,0.00007513213,0.000089571244,0.00024840122,0.001493754,0.003046006],"genre_scores_gemma":[0.9493304,0.00018236884,0.04962705,0.000043404227,0.000033857836,0.000034115674,0.0001790253,0.000017422057,0.00055233383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992236,0.0003056338,0.000062675,0.00015799196,0.00017992042,0.00007027116],"domain_scores_gemma":[0.99771786,0.0017078512,0.00011200259,0.00016394189,0.000263376,0.000034963345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013290828,0.0007204971,0.0006359699,0.0010961718,0.0001849261,0.0007201229,0.00061893073,0.00066571624,0.0008141723],"category_scores_gemma":[0.0042951484,0.00017160345,0.000454788,0.00074092316,0.00026253102,0.0005791255,0.0004787648,0.00063842826,0.0003039994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016194215,0.00024758477,0.010129657,0.00008273571,0.00010569139,0.00011243388,0.000044005184,0.7053415,0.004244947,0.0011133652,0.0005492068,0.27786696],"study_design_scores_gemma":[0.000002560548,0.000038022692,0.0009664887,0.0000058183477,0.0000068844383,0.000020577514,0.0000081584385,0.9963225,0.0016942658,0.00073291635,0.00019711611,0.0000047710128],"about_ca_topic_score_codex":0.002744898,"about_ca_topic_score_gemma":0.0014493191,"teacher_disagreement_score":0.002744898,"about_ca_system_score_codex":0.00038653665,"about_ca_system_score_gemma":0.00050867215,"threshold_uncertainty_score":0.0070289373},"labels":[],"label_agreement":null},{"id":"W2962947610","doi":"10.3390/en12152867","title":"Multi-Agent Optimization for Residential Demand Response under Real-Time Pricing","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"SaskPower","keywords":"Demand response; Electricity; Flexibility (engineering); Computer science; Electricity market; Heuristic; Electricity pricing; Renewable energy; Consumption (sociology); Electric power system; Mathematical optimization; Dynamic pricing; Electricity retailing; Environmental economics; Power (physics); Engineering; Microeconomics; Economics; Artificial intelligence","score_opus":0.008922518446154899,"score_gpt":0.21734951173443953,"score_spread":0.20842699328828462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962947610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060408372,0.00049735693,0.92797333,0.000692713,0.000079784026,0.000105038176,0.00010147101,0.0001846206,0.009957361],"genre_scores_gemma":[0.9416927,0.00027624532,0.05190821,0.00009241728,0.000031420375,0.00019205142,0.000075814474,0.000040270716,0.0056908624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994134,0.00031855472,0.000016516167,0.00008218079,0.00008571766,0.00008373568],"domain_scores_gemma":[0.9987909,0.00080614357,0.00016572484,0.000029715036,0.00014185232,0.000065651635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011559201,0.0009938495,0.0011278415,0.00049427967,0.0005311169,0.0012360216,0.00097483344,0.0012685644,0.002624777],"category_scores_gemma":[0.0024731476,0.00056250696,0.0006455265,0.0005661316,0.00074661925,0.0008459195,0.00089194137,0.001239702,0.00025305356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002553919,0.000023784627,0.00016621324,0.000015553154,0.000013204096,0.000040083676,0.000011931227,0.99413884,0.00013706453,0.003366664,0.00021752971,0.0018436234],"study_design_scores_gemma":[0.0000034863808,0.0000053242547,0.000020353351,7.20363e-7,0.0000017553493,0.0000015774725,0.0000035357998,0.9994006,0.00001983246,0.00048270525,0.000059264603,8.816406e-7],"about_ca_topic_score_codex":0.01106093,"about_ca_topic_score_gemma":0.008236873,"teacher_disagreement_score":0.01106093,"about_ca_system_score_codex":0.0013053102,"about_ca_system_score_gemma":0.0012709354,"threshold_uncertainty_score":0.0219931},"labels":[],"label_agreement":null},{"id":"W2963096576","doi":"10.3390/en12142778","title":"Developing Interventions for Scaling Up UK Upcycling","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":42,"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":"Engineering and Physical Sciences Research Council; Research Councils UK; De Montfort University; Trent University; Nottingham Trent University","keywords":"Psychological intervention; Context (archaeology); Delphi method; Intervention (counseling); Behaviour change; Psychology; Medicine; Computer science; Nursing; Geography","score_opus":0.032008563061468834,"score_gpt":0.2759319724062093,"score_spread":0.2439234093447405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963096576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5875629,0.013842462,0.17186569,0.04276945,0.0031935123,0.038307037,0.0004608527,0.0023832223,0.13961476],"genre_scores_gemma":[0.66856843,0.012404449,0.28973067,0.0039824652,0.00025757545,0.01736813,0.000279026,0.000093490744,0.0073156944],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9911884,0.006218544,0.00043726226,0.00043354594,0.0007998827,0.00092229695],"domain_scores_gemma":[0.988395,0.00680701,0.0010255586,0.00066497974,0.0017458156,0.00136162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0082779685,0.0009422523,0.0007388537,0.0021827207,0.0020965063,0.0016897107,0.0014816406,0.001825803,0.0064590084],"category_scores_gemma":[0.023477947,0.00040189555,0.0006577176,0.0012258767,0.0012902502,0.002137908,0.0050342716,0.0019336094,0.0007655581],"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":[0.00025855243,0.004654133,0.008144533,0.009518865,0.00010862251,0.0005179669,0.029384417,0.0046895486,0.0061831125,0.011754463,0.015999751,0.90878606],"study_design_scores_gemma":[0.002040438,0.015152247,0.113785245,0.042719804,0.0009944674,0.0006384945,0.21681027,0.011449779,0.020046864,0.029251054,0.54667014,0.00044118142],"about_ca_topic_score_codex":0.007946831,"about_ca_topic_score_gemma":0.013862631,"teacher_disagreement_score":0.0082779685,"about_ca_system_score_codex":0.004006941,"about_ca_system_score_gemma":0.01318838,"threshold_uncertainty_score":0.0437786},"labels":[],"label_agreement":null},{"id":"W2963185495","doi":"10.3390/en12152848","title":"Catalytic Effect of Cobalt Additive on the Low Temperature Oxidation Characteristics of Changqing Tight Oil and Its SARA Fractions","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Shandong Province; China Scholarship Council","keywords":"Catalysis; Asphaltene; Thermogravimetric analysis; Cobalt; Chemistry; Fourier transform infrared spectroscopy; Chemical engineering; Fraction (chemistry); Secondary air injection; Inorganic chemistry; Organic chemistry; Waste management","score_opus":0.004040659352879372,"score_gpt":0.21028717715166542,"score_spread":0.20624651779878606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963185495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99774903,0.00059130567,0.00069263176,0.000026842523,0.000016328426,0.000010175493,0.00006949392,0.000023548702,0.00082059234],"genre_scores_gemma":[0.99797255,0.00038495284,0.0007312701,0.00001396339,0.0000032786786,0.000007791879,0.00007702383,0.000009524748,0.00079956994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986935,0.000008484998,0.00001161308,0.000032974767,0.000043911477,0.00003380764],"domain_scores_gemma":[0.9998925,0.00001921975,0.00003024406,0.000007876403,0.000031555857,0.000018583241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012823995,0.0003287375,0.00021593212,0.00031758813,0.00012723907,0.00018427765,0.0001897118,0.00018693437,0.00074032956],"category_scores_gemma":[0.00026852763,0.000119179174,0.00021594694,0.00023798288,0.00016295379,0.00022713908,0.00016651904,0.00028379704,0.00013511318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019704548,0.000027028218,0.00051194767,0.00010083889,0.000006582593,0.00004594271,0.000025843,0.00020710856,0.9962914,0.000048031838,0.000040697396,0.0024976095],"study_design_scores_gemma":[0.0000048998904,0.00016964975,0.002148739,0.000004860378,0.000015429569,0.000025658832,0.000023746114,0.0009844656,0.995972,0.00000780954,0.00063769706,0.000005023403],"about_ca_topic_score_codex":0.0025066468,"about_ca_topic_score_gemma":0.0058932276,"teacher_disagreement_score":0.0025066468,"about_ca_system_score_codex":0.0001940203,"about_ca_system_score_gemma":0.00019707921,"threshold_uncertainty_score":0.0049841404},"labels":[],"label_agreement":null},{"id":"W2964471150","doi":"10.3390/en12153017","title":"Special Issue “Intelligent Control in Energy Systems”","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"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":"Microgrid; Energy management; HVAC; Computer science; Intelligent control; Control engineering; Operations research; Engineering; Control (management); Artificial intelligence; Energy (signal processing); Air conditioning","score_opus":0.0036594475874315428,"score_gpt":0.1703048158611204,"score_spread":0.16664536827368887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964471150","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018056015,0.026814628,0.0023135857,0.01958073,0.91745836,0.000047214766,0.00014508898,0.00022379111,0.033236153],"genre_scores_gemma":[0.0024312234,0.023963908,0.0010316998,0.010206356,0.86119634,0.00005414832,0.0002464503,0.00022449637,0.100645326],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99753666,0.0002989624,0.00022603504,0.0004227964,0.0013095293,0.00020604784],"domain_scores_gemma":[0.9941281,0.0016446117,0.00036399663,0.00036291732,0.002729047,0.00077138864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021041397,0.0025865077,0.0029312465,0.0029916938,0.0015228449,0.0072164703,0.0018816547,0.004436732,0.052933346],"category_scores_gemma":[0.0047406573,0.00065770635,0.0019092616,0.0019561779,0.0014304365,0.003626975,0.0012108826,0.0069903876,0.026768763],"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":[0.000025304438,0.000019211151,0.000049459228,0.00023191787,0.000020618834,0.000054953463,0.000011990636,0.00015290116,0.00014382953,0.002840806,0.9763965,0.020052573],"study_design_scores_gemma":[0.000011256988,0.000042349053,0.00018893836,0.00019147058,0.000018943514,0.00016730488,0.00001814361,0.00045847465,0.00012625837,0.002725562,0.99604094,0.000010318099],"about_ca_topic_score_codex":0.00084353366,"about_ca_topic_score_gemma":0.0015210848,"teacher_disagreement_score":0.052933346,"about_ca_system_score_codex":0.0018853488,"about_ca_system_score_gemma":0.0018750312,"threshold_uncertainty_score":0.17707968},"labels":[],"label_agreement":null},{"id":"W2964941920","doi":"10.3390/en12152921","title":"A 3-In-1 Approach to Evaluate Gas Hydrate Inhibitors","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrate; Clathrate hydrate; Methane; Chemistry; Thermodynamics; Kinetic energy; Kinetics; Organic chemistry","score_opus":0.008476543314509496,"score_gpt":0.2180600475016482,"score_spread":0.2095835041871387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964941920","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7168869,0.0016563097,0.26960292,0.0002746131,0.00026180723,0.0015245957,0.0024451723,0.0025171922,0.0048305434],"genre_scores_gemma":[0.66597,0.0022580323,0.31483105,0.0002454728,0.000092470196,0.0036660305,0.0021928728,0.0010082729,0.009735721],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986553,0.00016242579,0.00010235315,0.00042399653,0.00044104393,0.00021471981],"domain_scores_gemma":[0.99918824,0.00022359555,0.00018629782,0.00021283633,0.00012993658,0.000059020105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088347966,0.0017644782,0.0013874454,0.00078400335,0.0010038242,0.0007447483,0.0016166314,0.0013521834,0.0038162048],"category_scores_gemma":[0.00069002376,0.00066154834,0.0008915424,0.0005936626,0.00077104114,0.0006322348,0.001383699,0.0014514538,0.0015066479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010408259,0.000093713235,0.00032925617,0.00007844841,0.000013455094,0.000036783145,0.000039557548,0.00034719965,0.99543804,0.00016849059,0.000048632814,0.0033023953],"study_design_scores_gemma":[0.000007699304,0.00028886495,0.0010685421,0.0000034277987,0.00001990816,0.000048440055,0.000017046763,0.002324902,0.99449265,0.00012293817,0.0015900342,0.000015560188],"about_ca_topic_score_codex":0.0014485291,"about_ca_topic_score_gemma":0.003337294,"teacher_disagreement_score":0.0038162048,"about_ca_system_score_codex":0.0006469215,"about_ca_system_score_gemma":0.0009387888,"threshold_uncertainty_score":0.01276654},"labels":[],"label_agreement":null},{"id":"W2966974655","doi":"10.3390/en12163105","title":"Mathematical Modeling of the Working Conditions of the Ship’s Utilization Boiler in Order to Evaluate Its Performance","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Technical Engine Diagnostics and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Independent Electricity System Operator; Uniwersytet Szczeciński","keywords":"Boiler (water heating); Exhaust gas; Flash boiler; Waste management; Environmental science; Engineering; Nuclear engineering; Process engineering; Petroleum engineering; Steam drum; Superheated steam","score_opus":0.03334458559736807,"score_gpt":0.261971245698542,"score_spread":0.22862666010117394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966974655","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047005378,0.001055258,0.91771734,0.00036465522,0.00018138008,0.00014929654,0.0005915304,0.0004833874,0.032451842],"genre_scores_gemma":[0.9283492,0.0018301111,0.042811844,0.00010291411,0.000085527514,0.00063557894,0.0005842098,0.00018328973,0.02541728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996532,0.00008467278,0.000021270165,0.0000758627,0.00012167534,0.000043346463],"domain_scores_gemma":[0.99967086,0.00014729211,0.000046778077,0.000034110504,0.000089639645,0.000011259355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000522669,0.0012231393,0.0006601832,0.0007114321,0.0004770383,0.0012520434,0.0011216267,0.0014655992,0.0035419313],"category_scores_gemma":[0.0012794909,0.00039213803,0.0011591861,0.000491911,0.0006516212,0.0010711816,0.00061793637,0.0010404701,0.0012990995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038423426,0.000035277986,0.0007415225,0.00018750735,0.000023148976,0.00015406116,0.00010204364,0.96668476,0.010581574,0.013965075,0.0004964088,0.0069902064],"study_design_scores_gemma":[0.000005415247,0.000034278037,0.00037916956,0.0000116383935,0.000013505228,0.00005697437,0.000021345899,0.99345,0.0023610017,0.0018351895,0.0018210651,0.000010427575],"about_ca_topic_score_codex":0.004094384,"about_ca_topic_score_gemma":0.001741951,"teacher_disagreement_score":0.004094384,"about_ca_system_score_codex":0.00066886237,"about_ca_system_score_gemma":0.00093526015,"threshold_uncertainty_score":0.011848867},"labels":[],"label_agreement":null},{"id":"W2968093915","doi":"10.3390/en12163172","title":"Pipeline Leak Detection and Location Based on Model-Free Isolation of Abnormal Acoustic Signals","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Water Systems and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China","keywords":"Leak; SIGNAL (programming language); Pipeline (software); False alarm; Acoustics; Isolation (microbiology); Computer science; Detection theory; Pipeline transport; Constant false alarm rate; ALARM; Real-time computing; Engineering; Algorithm; Artificial intelligence; Physics; Telecommunications; Electrical engineering; Detector","score_opus":0.005400928142259878,"score_gpt":0.17222080629682357,"score_spread":0.1668198781545637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968093915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02185483,0.00007698677,0.97669923,0.000038310398,0.0000129801865,0.000015147657,0.000017999424,0.0006292817,0.0006552025],"genre_scores_gemma":[0.79538935,0.00019117752,0.20142819,0.00006114679,0.00003009152,0.000079479316,0.00018467092,0.00012982373,0.0025060754],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968874,0.000046667385,0.00001605154,0.00008337255,0.00012298103,0.00004211952],"domain_scores_gemma":[0.99964476,0.00011121614,0.000080083904,0.000050237202,0.00009247317,0.000021187749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002796804,0.0010113679,0.0009438921,0.00072070473,0.00035380488,0.000729184,0.00064950227,0.00067675975,0.0011300854],"category_scores_gemma":[0.0014400095,0.00039257415,0.00075297203,0.00035904456,0.0004228901,0.0013102344,0.0008335102,0.0006248558,0.00046835645],"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":[0.00058853975,0.00022729015,0.0050599664,0.0003761198,0.000114378854,0.00034456482,0.0002896785,0.39926153,0.12999299,0.005486513,0.0018591788,0.4563992],"study_design_scores_gemma":[0.000010524113,0.000066012,0.0007720113,0.000005441769,0.000018185197,0.00010179588,0.000018947345,0.9850273,0.012291089,0.0010319944,0.00064093055,0.000015683321],"about_ca_topic_score_codex":0.0026364017,"about_ca_topic_score_gemma":0.0021015222,"teacher_disagreement_score":0.0026364017,"about_ca_system_score_codex":0.00029697522,"about_ca_system_score_gemma":0.0008567301,"threshold_uncertainty_score":0.0052420497},"labels":[],"label_agreement":null},{"id":"W2968627330","doi":"10.3390/en12163137","title":"Research on an Asymmetric Fault Control Strategy for an AC/AC System Based on a Modular Multilevel Matrix Converter","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modular design; Fault (geology); Control theory (sociology); Controller (irrigation); Voltage; Capacitor; Engineering; AC power; Control (management); Computer science; Electrical engineering","score_opus":0.041155807050163834,"score_gpt":0.32250126635499715,"score_spread":0.28134545930483335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968627330","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13499248,0.0010318777,0.8486086,0.00018331288,0.00009263127,0.00010169016,0.000027535623,0.00038883355,0.014573134],"genre_scores_gemma":[0.9754043,0.00033239048,0.022747036,0.000027177955,0.000033538025,0.000026841195,0.000020322916,0.000008118131,0.0014003848],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998851,0.000016290403,0.0000068526742,0.000030577998,0.00004995485,0.000011356722],"domain_scores_gemma":[0.9999125,0.000015120162,0.000022510936,0.000009215028,0.000033707074,0.000006937306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014609545,0.0003489105,0.00023001208,0.0002508137,0.000254249,0.0003727498,0.00037399842,0.00019899804,0.0009905739],"category_scores_gemma":[0.00021049795,0.00006964585,0.00020080263,0.00022477593,0.00016985022,0.00043143032,0.00015298963,0.0002434268,0.00012837943],"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":[0.00029054013,0.00022594596,0.0023034336,0.00067249493,0.00009732144,0.000471387,0.000447672,0.22447108,0.29105064,0.04753607,0.0018534398,0.43057993],"study_design_scores_gemma":[0.000058914444,0.0005889543,0.0017876604,0.000027947275,0.000056475186,0.0002924173,0.00006944076,0.94838464,0.037150472,0.0044486295,0.0071141287,0.000020272073],"about_ca_topic_score_codex":0.0010870704,"about_ca_topic_score_gemma":0.0008581451,"teacher_disagreement_score":0.0010870704,"about_ca_system_score_codex":0.00021920011,"about_ca_system_score_gemma":0.00024890387,"threshold_uncertainty_score":0.0033137798},"labels":[],"label_agreement":null},{"id":"W2968765286","doi":"10.3390/en12163052","title":"An Improved Hybrid Particle Swarm Optimization and Tabu Search Algorithm for Expansion Planning of Large Dimension Electric Distribution Network","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tabu search; Particle swarm optimization; Mathematical optimization; Dimension (graph theory); Multi-swarm optimization; Algorithm; Computer science; Metaheuristic; Hybrid algorithm (constraint satisfaction); Mathematics","score_opus":0.005108061115477131,"score_gpt":0.22954621606959835,"score_spread":0.22443815495412123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968765286","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009996431,0.00035297408,0.98574775,0.00009140754,0.00006684235,0.000050080896,0.00003261046,0.00037742726,0.0032843952],"genre_scores_gemma":[0.38375416,0.0005199638,0.6099095,0.00016388042,0.00008894692,0.0003386923,0.00019569565,0.00013699803,0.004892219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965405,0.00012434096,0.000013833012,0.00003271204,0.0001443688,0.00003072707],"domain_scores_gemma":[0.9997383,0.00012677732,0.000027445618,0.000019120336,0.00007718529,0.000011234403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074155536,0.00067750603,0.00089986983,0.0007508379,0.00046943384,0.0006922636,0.0009725264,0.0009084321,0.0016190915],"category_scores_gemma":[0.0012081538,0.00043125785,0.0005518829,0.0011220622,0.0004050284,0.00082258426,0.0004956928,0.0006478186,0.00035277207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006249502,0.000043826007,0.0003500356,0.000059574948,0.000055431065,0.00004563516,0.00004322282,0.88865113,0.0020478764,0.005679534,0.0023884517,0.100572795],"study_design_scores_gemma":[0.000011401981,0.000016397602,0.000058214,0.000002423516,0.000004617831,0.000011814029,0.0000026317055,0.99866486,0.00023626616,0.0004304645,0.00055799936,0.0000028995953],"about_ca_topic_score_codex":0.0051268903,"about_ca_topic_score_gemma":0.005178148,"teacher_disagreement_score":0.0051268903,"about_ca_system_score_codex":0.00049581804,"about_ca_system_score_gemma":0.0008498252,"threshold_uncertainty_score":0.010194123},"labels":[],"label_agreement":null},{"id":"W2969326186","doi":"10.3390/en12173254","title":"Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review","year":2019,"lang":"en","type":"review","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":261,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial neural network; Energy consumption; Variety (cybernetics); Robustness (evolution); Computer science; Software deployment; Sustainability; Artificial intelligence; Engineering; Ecology","score_opus":0.1058941403060923,"score_gpt":0.2814431036769987,"score_spread":0.17554896337090642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969326186","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":[0.001214049,0.99302554,0.0027235155,0.00035856554,0.00026375573,0.000013317142,0.00011486769,0.00002580244,0.002260656],"genre_scores_gemma":[0.0060719233,0.99193645,0.0012244375,0.00006296766,0.0001567572,0.000009477944,0.00010826366,0.000004286572,0.00042549465],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974626,0.000043486398,0.000047218356,0.00005420792,0.00009604823,0.000012765716],"domain_scores_gemma":[0.99931693,0.00042049377,0.0000726394,0.000014381044,0.00016222011,0.000013259309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006273369,0.0010101998,0.0008068109,0.0017325017,0.00018495697,0.0009270011,0.0008880384,0.0008075247,0.001814324],"category_scores_gemma":[0.001512172,0.0003108659,0.0007404305,0.0031357286,0.00021183082,0.0010591818,0.0004195377,0.0005592995,0.0006442171],"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":[0.000045573433,0.00007823057,0.0013653436,0.023867263,0.00021648762,0.00010645924,0.00006722495,0.013235176,0.000854768,0.004072157,0.010808382,0.94528306],"study_design_scores_gemma":[0.000021104917,0.00036335574,0.009480985,0.028744752,0.0015089754,0.0011470388,0.0003837179,0.031182231,0.003919531,0.010867876,0.91217405,0.00020629879],"about_ca_topic_score_codex":0.0041073556,"about_ca_topic_score_gemma":0.004049579,"teacher_disagreement_score":0.0041073556,"about_ca_system_score_codex":0.00039486538,"about_ca_system_score_gemma":0.00084258494,"threshold_uncertainty_score":0.008166909},"labels":[],"label_agreement":null},{"id":"W2969888551","doi":"10.3390/en12173237","title":"A Workflow for Optimization of Flow Control Devices in SAGD","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; RGL Reservoir Management","keywords":"Petroleum engineering; Steam-assisted gravity drainage; Steam injection; Completion (oil and gas wells); Workflow; Oil sands; Wellbore; Engineering; Dual (grammatical number); Enhanced oil recovery; Asphalt; Computer science; Materials science","score_opus":0.007961912525515485,"score_gpt":0.23461822807591515,"score_spread":0.22665631555039967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969888551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053455085,0.00020549774,0.9204235,0.00033696563,0.0000697603,0.000569559,0.001541017,0.0052775024,0.018121164],"genre_scores_gemma":[0.42147017,0.00021811009,0.5699722,0.00008728339,0.0000127838985,0.00073675613,0.0019888992,0.000617978,0.004895758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964225,0.00007047077,0.000021314361,0.00006662202,0.00011523797,0.000084061736],"domain_scores_gemma":[0.99950886,0.00019477916,0.000046240948,0.00007123608,0.00013454683,0.000044422693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008675225,0.0011857592,0.00084258814,0.0006228004,0.0008828818,0.0014075522,0.0010497005,0.0009513788,0.009189716],"category_scores_gemma":[0.0013228611,0.00067736336,0.0010638153,0.000565853,0.00046003237,0.00061962043,0.0010515914,0.0009967567,0.0013153264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000995703,0.000122711,0.0017078383,0.00013506158,0.000029312976,0.00016757466,0.00008725521,0.94235873,0.008475038,0.0058420817,0.0019476077,0.03902722],"study_design_scores_gemma":[0.000042621694,0.00005197025,0.00050337,0.000018028257,0.000009726183,0.000029197909,0.000066226785,0.9855058,0.00467689,0.0034674979,0.0056076855,0.00002093801],"about_ca_topic_score_codex":0.01339348,"about_ca_topic_score_gemma":0.01096287,"teacher_disagreement_score":0.01339348,"about_ca_system_score_codex":0.0012478657,"about_ca_system_score_gemma":0.0030521238,"threshold_uncertainty_score":0.030742705},"labels":[],"label_agreement":null},{"id":"W2970820151","doi":"10.3390/en12173304","title":"Economic Solution of the Tri-Generation System Using Photovoltaic-Thermal and Ground Source Heat Pump for Zero Energy Building (ZEB) Realization","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Korea Institute for Advancement of Technology; Ministry of Trade, Industry and Energy; Government of Canada","keywords":"Renewable energy; Payback period; Realization (probability); Photovoltaic system; Zero-energy building; Heat pump; Investment (military); Architectural engineering; Electricity generation; Energy (signal processing); Computer science; Environmental economics; Engineering; Civil engineering; Process engineering; Mechanical engineering; Electrical engineering; Mathematics; Economics; Physics; Power (physics); Production (economics)","score_opus":0.019862399280268013,"score_gpt":0.22530044422554077,"score_spread":0.20543804494527276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970820151","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35830787,0.00026952827,0.61075777,0.00031726708,0.0000456381,0.00018243892,0.00011277433,0.00016460697,0.029842177],"genre_scores_gemma":[0.98142093,0.00009072816,0.01655212,0.000009938671,0.0000022824372,0.000069716705,0.000021542057,0.000007286594,0.0018253763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977225,0.00008416725,0.00000959486,0.00003191066,0.0000618691,0.00004011787],"domain_scores_gemma":[0.99986243,0.000056260167,0.000027410415,0.000010370516,0.000033464177,0.000009969995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004487303,0.00027869153,0.00029298934,0.0003172552,0.0003272101,0.0007757994,0.00039626795,0.00040929214,0.0029645364],"category_scores_gemma":[0.00047349356,0.000228825,0.0005216552,0.00025181336,0.00028771028,0.0005371297,0.00056525815,0.00041029273,0.00015735973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013285333,0.000068996655,0.001539164,0.00015226654,0.000029636656,0.00023496107,0.000070088616,0.93384457,0.011186342,0.028171767,0.00054218445,0.024027202],"study_design_scores_gemma":[0.000026877538,0.0001741539,0.0006561815,0.000008049216,0.000023463761,0.000055181426,0.000065567954,0.99207217,0.002544815,0.0031554785,0.0012090084,0.000008939945],"about_ca_topic_score_codex":0.0021311925,"about_ca_topic_score_gemma":0.0027783804,"teacher_disagreement_score":0.0029645364,"about_ca_system_score_codex":0.00061643583,"about_ca_system_score_gemma":0.0008872371,"threshold_uncertainty_score":0.009917319},"labels":[],"label_agreement":null},{"id":"W2971097865","doi":"10.3390/en12173296","title":"Impact of Price–Quantity Uncertainties and Risk Aversion on Energy Retailer’s Pricing and Hedging Behaviors","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Development and Reform Commission of Shenzhen Municipality; Tsinghua-Berkeley Shenzhen institute; Stanford Diabetes Research Center","keywords":"Volatility (finance); Economics; Microeconomics; Profit (economics); Forward contract; Spot contract; Econometrics; Imperfect; Financial economics; Futures contract","score_opus":0.008173478697436431,"score_gpt":0.23768550688668416,"score_spread":0.22951202818924774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971097865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9538051,0.00018406332,0.038845688,0.00032329178,0.000015594956,0.000030114355,0.00009969399,0.000045281085,0.0066512506],"genre_scores_gemma":[0.9986488,0.0000323244,0.0009801608,0.000011061577,0.0000025787301,0.000003166192,0.0000128904785,0.0000027701533,0.00030623385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900025,0.00039054287,0.000046454137,0.000173427,0.00019927944,0.00019011318],"domain_scores_gemma":[0.99159825,0.0062857503,0.0011376315,0.0004663788,0.0003198367,0.00019206778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024603854,0.0005426177,0.0006332678,0.0003892269,0.0003320182,0.0019226978,0.0008325827,0.0010392403,0.002031572],"category_scores_gemma":[0.01018814,0.00057310157,0.00091052835,0.00038124522,0.00096013787,0.0028153115,0.0009604105,0.0014031155,0.0000966837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003227861,0.00016445653,0.019801456,0.00005048495,0.00013068001,0.0004892905,0.00018157298,0.9254839,0.0028918763,0.042357307,0.00028694942,0.007839309],"study_design_scores_gemma":[0.000014974667,0.00010642742,0.0064800964,0.000007365346,0.000047100668,0.00009622567,0.00013989526,0.97883177,0.0010728741,0.013006035,0.00015582277,0.000041434876],"about_ca_topic_score_codex":0.0037852346,"about_ca_topic_score_gemma":0.0029133153,"teacher_disagreement_score":0.0037852346,"about_ca_system_score_codex":0.0011849835,"about_ca_system_score_gemma":0.0008143608,"threshold_uncertainty_score":0.013011932},"labels":[],"label_agreement":null},{"id":"W2971180536","doi":"10.3390/en12173290","title":"Performance of Turbulence Models in Simulating Wind Loads on Photovoltaics Modules","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wind and Air Flow Studies","field":"Environmental Science","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 Alberta","funders":"Canada First Research Excellence Fund","keywords":"Turbulence; Reynolds-averaged Navier–Stokes equations; Reynolds stress equation model; Turbulence modeling; Mechanics; Turbulence kinetic energy; K-epsilon turbulence model; Reynolds stress; Wake; K-omega turbulence model; Physics; Drag; Meteorology; Reynolds number; Statistical physics","score_opus":0.009945308272784748,"score_gpt":0.20417441663344443,"score_spread":0.19422910836065968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971180536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97972304,0.00018239909,0.016907698,0.000083666935,0.000040240197,0.000041520056,0.00014323127,0.00033010507,0.0025480366],"genre_scores_gemma":[0.99589646,0.00007237357,0.003575983,0.000008319973,0.0000048810602,0.0000145432205,0.000093748626,0.000015532523,0.00031814506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998388,0.000049940536,0.000016248612,0.0000215894,0.00004055919,0.00003290424],"domain_scores_gemma":[0.99956614,0.00024024348,0.00005153339,0.000029513936,0.00007785711,0.000034752247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047597362,0.0007074357,0.00047392954,0.00044083,0.00033647547,0.00082537904,0.00043376294,0.00060941617,0.00035975192],"category_scores_gemma":[0.0009896726,0.00026042692,0.000658495,0.00039913738,0.00031217086,0.0005441453,0.00032229975,0.00038391456,0.00013000317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006746709,0.00006705643,0.0055476595,0.000017050626,0.000013663363,0.000045460445,0.000023915132,0.9880328,0.0018774257,0.00023640471,0.00008097178,0.0039901137],"study_design_scores_gemma":[0.0000043979157,0.000054476553,0.00094750425,0.0000026918015,0.0000029277664,0.000005172502,0.000013358179,0.9980749,0.00080215186,0.000053578347,0.00003468091,0.0000041297812],"about_ca_topic_score_codex":0.016511427,"about_ca_topic_score_gemma":0.009414314,"teacher_disagreement_score":0.016511427,"about_ca_system_score_codex":0.00066199986,"about_ca_system_score_gemma":0.0007229845,"threshold_uncertainty_score":0.032830656},"labels":[],"label_agreement":null},{"id":"W2971810413","doi":"10.3390/en12183405","title":"Numerical Simulation of Gas Production from Gas Shale Reservoirs—Influence of Gas Sorption Hysteresis","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":20,"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":"Curtin University of Technology; Australian Government","keywords":"Sorption; Desorption; Langmuir; Adsorption; Methane; Chemistry; Oil shale; Langmuir adsorption model; Volume (thermodynamics); Hysteresis; Analytical Chemistry (journal); Thermodynamics; Chromatography; Geology; Organic chemistry","score_opus":0.010403688960030194,"score_gpt":0.22214180824626434,"score_spread":0.21173811928623415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971810413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97231185,0.00019264389,0.02013117,0.00015631218,0.000024445484,0.000049314596,0.0003523386,0.0001626081,0.006619309],"genre_scores_gemma":[0.9955928,0.00006506132,0.0033713675,0.0000100469515,0.000002084925,0.0000432647,0.00008652581,0.00001052275,0.00081826904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987435,0.000029873638,0.000007804733,0.000018700453,0.000031776493,0.00003752132],"domain_scores_gemma":[0.99927527,0.00048392874,0.00006946932,0.000034923178,0.000095431555,0.000041036536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034442064,0.00041329995,0.00062975165,0.00035717557,0.00043766116,0.00067989057,0.00062003895,0.001096987,0.0012745175],"category_scores_gemma":[0.0012813171,0.0002848086,0.0004600918,0.000479411,0.0006731344,0.00042272423,0.0005007428,0.00052633707,0.000093145936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006376349,0.000035768622,0.001720093,0.000035404337,0.000007262762,0.0000580375,0.000025974696,0.9939626,0.00256522,0.000556459,0.000051693023,0.0009177417],"study_design_scores_gemma":[0.0000053980057,0.000014244696,0.00019759015,0.0000019684214,0.0000015293663,0.0000032928597,0.000010316841,0.99885094,0.0007841572,0.00008104901,0.00004752495,0.00000192432],"about_ca_topic_score_codex":0.014312523,"about_ca_topic_score_gemma":0.0061340206,"teacher_disagreement_score":0.014312523,"about_ca_system_score_codex":0.00074453396,"about_ca_system_score_gemma":0.0006882269,"threshold_uncertainty_score":0.028458476},"labels":[],"label_agreement":null},{"id":"W2972250793","doi":"10.3390/en12183477","title":"Effect of Hafnium Addition on the Hydrogenation Process of TiFe Alloy","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Hafnium; Alloy; Materials science; Hydrogen; Microstructure; Laves phase; Hydrogen storage; Electron microprobe; Metallurgy; Chemical engineering; Intermetallic; Chemistry; Organic chemistry","score_opus":0.005345095275661336,"score_gpt":0.23957049921472806,"score_spread":0.2342254039390667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972250793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780756,0.0006874426,0.000372054,0.000027213782,0.000028336637,0.000016221524,0.000052626103,0.000025553283,0.0009830843],"genre_scores_gemma":[0.9975304,0.0004382144,0.0011005703,0.00002239129,0.00001091255,0.0000093211265,0.000052985553,0.000019635194,0.00081555225],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998203,0.000026513775,0.00001981405,0.000041210576,0.000040535735,0.000051722534],"domain_scores_gemma":[0.9997261,0.00010023388,0.000055280918,0.000019827683,0.000058979276,0.000039464714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019824675,0.00050634024,0.00037850149,0.0002467033,0.00017716663,0.00036403385,0.00042074447,0.00034598535,0.0014606356],"category_scores_gemma":[0.0005529952,0.0002793707,0.0002083387,0.00022045644,0.00019047088,0.0003492048,0.0001926552,0.00037778736,0.00026908788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068037235,0.00008224976,0.00030578938,0.00015363494,0.000025881307,0.00009202036,0.000043451055,0.00042487096,0.99514836,0.000055988137,0.00003613084,0.0029513342],"study_design_scores_gemma":[0.000009333654,0.00022864774,0.0006357398,0.000004719472,0.000016424732,0.00001822046,0.000009216464,0.0004153005,0.99822444,0.000004408809,0.00042987068,0.000003741897],"about_ca_topic_score_codex":0.0014969719,"about_ca_topic_score_gemma":0.0024054241,"teacher_disagreement_score":0.0014969719,"about_ca_system_score_codex":0.0002905196,"about_ca_system_score_gemma":0.00018880088,"threshold_uncertainty_score":0.004886329},"labels":[],"label_agreement":null},{"id":"W2972363742","doi":"10.3390/en12183485","title":"Denoising of Radio Frequency Partial Discharge Signals Using Artificial Neural Network","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Noise reduction; Partial discharge; Radio frequency; Artificial neural network; Thresholding; Computer science; Artificial intelligence; Noise (video); Wavelet; Energy (signal processing); Pattern recognition (psychology); Electronic engineering; Voltage; Engineering; Mathematics; Electrical engineering; Telecommunications","score_opus":0.023876796768029968,"score_gpt":0.254519164083269,"score_spread":0.23064236731523904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972363742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10224714,0.00042750285,0.89492744,0.000106647036,0.00006580173,0.00002705284,0.000035552282,0.0005007142,0.001662124],"genre_scores_gemma":[0.78725666,0.0005946047,0.20828527,0.000071820934,0.000042946893,0.000064418375,0.0001820102,0.00004538731,0.0034569174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997805,0.000038156948,0.00001645531,0.000054935055,0.00008823097,0.000021755444],"domain_scores_gemma":[0.99972266,0.0001143554,0.000033339802,0.00001923614,0.000103994746,0.000006307621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006632689,0.0004266945,0.00046135427,0.0004671864,0.00014016019,0.00043608845,0.0003828461,0.00075455126,0.00045016172],"category_scores_gemma":[0.001113463,0.00017736031,0.0004494418,0.000423832,0.00023427383,0.0004896554,0.00024770806,0.0005186141,0.00016453087],"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":[0.0003459926,0.00012479289,0.0017789999,0.0001876308,0.00008705958,0.00015498306,0.00013319678,0.48400316,0.096708514,0.0023536787,0.0008777886,0.4132442],"study_design_scores_gemma":[0.000002157776,0.00002276653,0.00039807337,0.0000039273405,0.0000065474815,0.000016219752,0.0000049155515,0.99276876,0.0063250503,0.00020899625,0.00023898618,0.0000036576969],"about_ca_topic_score_codex":0.0014412778,"about_ca_topic_score_gemma":0.001159344,"teacher_disagreement_score":0.0014412778,"about_ca_system_score_codex":0.00028390446,"about_ca_system_score_gemma":0.00019231805,"threshold_uncertainty_score":0.0035077333},"labels":[],"label_agreement":null},{"id":"W2972849841","doi":"10.3390/en12183486","title":"Transient Stress Distribution and Failure Response of a Wellbore Drilled by a Periodic Load","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Poromechanics; Mechanics; Laplace transform; Pore water pressure; Stress (linguistics); Hydrostatic equilibrium; Geology; Geotechnical engineering; Stress field; Amplitude; Shear stress; Cylinder stress; Engineering; Structural engineering; Finite element method; Porous medium; Porosity; Mathematics; Physics; Mathematical analysis","score_opus":0.0016602166154920943,"score_gpt":0.15609705738448149,"score_spread":0.1544368407689894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972849841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816066,0.000013618361,0.0016463149,0.000006634452,0.0000012067022,0.0000016004054,0.000018444753,0.000023221528,0.00012833011],"genre_scores_gemma":[0.99978954,0.000005895048,0.00012049645,8.28419e-7,2.5196584e-7,0.0000011523185,0.000009513495,0.0000013821324,0.000070960006],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999378,0.0000073290753,0.000003828896,0.000016593149,0.000016410724,0.00001803323],"domain_scores_gemma":[0.99982387,0.00006376782,0.00003908691,0.000021151405,0.000029774716,0.000022302658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001327825,0.0002006392,0.0001989893,0.00025543105,0.00015328752,0.00022022471,0.00021874497,0.00036714092,0.0006804882],"category_scores_gemma":[0.00041225384,0.00014703894,0.00014265273,0.00012274443,0.00042357598,0.00033874944,0.00018472009,0.00016530612,0.00007292816],"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":[0.0010079603,0.00016417727,0.04256374,0.00009885819,0.00005120783,0.0017471438,0.0005539287,0.22494005,0.71184057,0.0008082988,0.00024406928,0.015980076],"study_design_scores_gemma":[0.000030245446,0.0010701095,0.09945304,0.0000117114,0.00003609354,0.00033855418,0.0005235238,0.7594046,0.13825977,0.0005298629,0.00028763482,0.00005483574],"about_ca_topic_score_codex":0.0012758395,"about_ca_topic_score_gemma":0.00085671217,"teacher_disagreement_score":0.0012758395,"about_ca_system_score_codex":0.00016670332,"about_ca_system_score_gemma":0.00011273511,"threshold_uncertainty_score":0.0025368333},"labels":[],"label_agreement":null},{"id":"W2973200315","doi":"10.3390/en12183500","title":"Investigation of Hydraulic Fracturing Behavior in Heterogeneous Laminated Rock Using a Micromechanics-Based Numerical Approach","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"China Scholarship Council; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Micromechanics; Hydraulic fracturing; Geology; Geotechnical engineering; Shear (geology); Fracture (geology); Ultimate tensile strength; Matrix (chemical analysis); Petrology; Materials science; Composite material","score_opus":0.01712132925959445,"score_gpt":0.21025921073671355,"score_spread":0.1931378814771191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973200315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91594017,0.000112744885,0.08073267,0.00007455663,0.000012766965,0.00006728196,0.00016658529,0.00023805349,0.0026550973],"genre_scores_gemma":[0.97437865,0.000070111135,0.025070563,0.000009659806,0.0000022880376,0.000049623726,0.0000524195,0.00000889881,0.0003577938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999176,0.000011442804,0.000008320238,0.000019302672,0.000029747762,0.0000134704005],"domain_scores_gemma":[0.9997141,0.00012505782,0.000061026716,0.000046297348,0.000037885195,0.000015674095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021067064,0.00034937833,0.00029238604,0.00053444115,0.0002792642,0.0003683694,0.00046347687,0.00064390956,0.00078652706],"category_scores_gemma":[0.0006733422,0.00021348923,0.0002710949,0.00034558796,0.0005349383,0.00036085068,0.0002533034,0.00025724425,0.00010260937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002667181,0.000087120105,0.004227733,0.00006278456,0.000018979257,0.00013014996,0.000086030675,0.9133359,0.07370663,0.0009978749,0.000034463785,0.0072856657],"study_design_scores_gemma":[0.0000037732677,0.00002040167,0.0011997488,0.0000025789648,0.0000025908394,0.00001805858,0.000018458324,0.99478817,0.003749707,0.00012073253,0.000071325056,0.000004483952],"about_ca_topic_score_codex":0.0039461637,"about_ca_topic_score_gemma":0.0050978516,"teacher_disagreement_score":0.0039461637,"about_ca_system_score_codex":0.00047669123,"about_ca_system_score_gemma":0.00057425915,"threshold_uncertainty_score":0.007846355},"labels":[],"label_agreement":null},{"id":"W2973311037","doi":"10.3390/en12183542","title":"Computer Model for a Wind–Diesel Hybrid System with Compressed Air Energy Storage","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","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":"École de Technologie Supérieure; Cegep de Sept Iles; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère de l'Énergie et des Ressources Naturelles","keywords":"Compressed air energy storage; Renewable energy; Wind power; Energy storage; Intermittent energy source; Pumped-storage hydroelectricity; Automotive engineering; Grid energy storage; Distributed generation; Engineering; Process engineering; Computer science; Electrical engineering; Power (physics)","score_opus":0.009284720076971936,"score_gpt":0.19371588446159918,"score_spread":0.18443116438462726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973311037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31561628,0.001666888,0.43415818,0.0017066547,0.00038452592,0.0007054414,0.006905083,0.0035103664,0.2353466],"genre_scores_gemma":[0.9501127,0.00046701377,0.013651123,0.00014046922,0.000033104407,0.0006272127,0.0014465101,0.000114912764,0.033406872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998754,0.00003536962,0.0000059165523,0.000024030622,0.00003698646,0.000022245475],"domain_scores_gemma":[0.9996573,0.00020109683,0.000027555663,0.000013753434,0.00008584674,0.00001459004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015381137,0.00068461354,0.0007950205,0.00044650538,0.000857459,0.00094392453,0.0011648285,0.0014830945,0.017426768],"category_scores_gemma":[0.00053648936,0.00030778386,0.00070626056,0.0005050005,0.00050658715,0.0006265473,0.0004366167,0.000852849,0.0014672796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047960773,0.00001673701,0.000358718,0.000053213138,0.000011213712,0.00010111214,0.000038714385,0.99453187,0.0007081117,0.0020196834,0.00065155746,0.0014609505],"study_design_scores_gemma":[0.00001731087,0.00002068363,0.00015742173,0.0000064975648,0.000007848674,0.000015838346,0.000016813861,0.99832886,0.00016713756,0.0004723756,0.00078545563,0.0000037962577],"about_ca_topic_score_codex":0.031270795,"about_ca_topic_score_gemma":0.021597063,"teacher_disagreement_score":0.031270795,"about_ca_system_score_codex":0.0009882903,"about_ca_system_score_gemma":0.0011262199,"threshold_uncertainty_score":0.0621776},"labels":[],"label_agreement":null},{"id":"W2973600361","doi":"10.3390/en12183540","title":"Kick Risk Forecasting and Evaluating During Drilling Based on Autoregressive Integrated Moving Average Model","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"China Scholarship Council","keywords":"Casing; Autoregressive model; Time series; Engineering; Petroleum engineering; Drilling; Autoregressive integrated moving average; Marine engineering; Computer science; Statistics; Mathematics; Mechanical engineering; Machine learning","score_opus":0.009934165741355432,"score_gpt":0.19721217522317683,"score_spread":0.18727800948182138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973600361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31723124,0.00050661317,0.6785194,0.00019394471,0.000063432446,0.000042212505,0.00017007423,0.0007289102,0.0025441006],"genre_scores_gemma":[0.9827764,0.00024462474,0.015616647,0.000014482366,0.00001641889,0.000025319629,0.00017785071,0.000017094253,0.001111123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995018,0.000093205206,0.00004637709,0.00011636049,0.00017361985,0.0000687011],"domain_scores_gemma":[0.9993369,0.00029252493,0.00010761473,0.000032727436,0.00019860882,0.000031695177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009243429,0.00057750085,0.0007789046,0.00085814233,0.00025323316,0.00085764326,0.0006229242,0.00052967155,0.00072250096],"category_scores_gemma":[0.0019584731,0.0003302182,0.00067195506,0.0005747426,0.0002031866,0.0009815104,0.00033175776,0.0006177665,0.0001902342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113378825,0.000055753684,0.009092568,0.00005352379,0.000062318555,0.0001251745,0.000050845658,0.93661857,0.0031905456,0.0015560767,0.0005771665,0.048504084],"study_design_scores_gemma":[0.0000011271123,0.000013399855,0.0009943114,0.0000014089079,0.000007189896,0.0000060718176,0.0000053338163,0.9983827,0.00031604563,0.00022297127,0.00004486504,0.0000045237603],"about_ca_topic_score_codex":0.016537247,"about_ca_topic_score_gemma":0.009506689,"teacher_disagreement_score":0.016537247,"about_ca_system_score_codex":0.00036510587,"about_ca_system_score_gemma":0.0007383307,"threshold_uncertainty_score":0.032881975},"labels":[],"label_agreement":null},{"id":"W2973715924","doi":"10.3390/en13102452","title":"Low Frequency Injection as a Method of Low-Level DC Microgrid Communication","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Emera","keywords":"Microgrid; Interfacing; Converters; Low voltage; Electronic engineering; Power (physics); Computer science; Low frequency; Voltage; Electrical engineering; Engineering; Telecommunications; Computer hardware; Physics","score_opus":0.011355420204329994,"score_gpt":0.2206534621349183,"score_spread":0.2092980419305883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973715924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021449873,0.00016203032,0.96478546,0.0001568696,0.00008044824,0.00010611909,0.000030919222,0.0016202192,0.01160797],"genre_scores_gemma":[0.7947715,0.00026123945,0.19589345,0.00026924897,0.00009700111,0.00019326697,0.00008066707,0.00019108897,0.008242504],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999493,0.00012611816,0.000034535882,0.000075649856,0.0002256535,0.000045024557],"domain_scores_gemma":[0.9992725,0.00020060386,0.0001081243,0.00018776926,0.00019790858,0.000033071254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031946786,0.00044671676,0.00033805243,0.00060498464,0.0004500212,0.00086942833,0.00077335397,0.00033964144,0.0029573967],"category_scores_gemma":[0.0008621369,0.00016913265,0.00015320831,0.00035431172,0.00055121153,0.00093925686,0.0009517351,0.00087829924,0.00087748625],"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":[0.00046681205,0.00022678466,0.0022437535,0.0005159496,0.00003719559,0.00037079086,0.0008119419,0.042865925,0.3162997,0.10827468,0.004303123,0.5235834],"study_design_scores_gemma":[0.00012557364,0.0012452699,0.001203448,0.00016002617,0.0000885657,0.0012309265,0.00022183919,0.42040914,0.47563857,0.025142943,0.074422725,0.00011093403],"about_ca_topic_score_codex":0.00035288124,"about_ca_topic_score_gemma":0.0004138827,"teacher_disagreement_score":0.0029573967,"about_ca_system_score_codex":0.00033956036,"about_ca_system_score_gemma":0.0003798889,"threshold_uncertainty_score":0.009893477},"labels":[],"label_agreement":null},{"id":"W2975314151","doi":"10.3390/en12193751","title":"The Effect of Temperature on Flowback Data Analysis in Shale Gas Reservoirs: A Simulation-Based Study","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Major Science and Technology Projects of China; National Science and Technology Major Project","keywords":"Petroleum engineering; Oil shale; Hydraulic fracturing; Shale gas; Permeability (electromagnetism); Fracture (geology); Geology; Environmental science; Geotechnical engineering; Chemistry","score_opus":0.008227657635110575,"score_gpt":0.2561936922787831,"score_spread":0.2479660346436725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975314151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976852,0.000032006566,0.0018635903,0.000022508526,0.0000033317303,0.000014439015,0.00009201243,0.00005026272,0.00023665355],"genre_scores_gemma":[0.9977576,0.00002561207,0.0020378996,0.0000049822493,0.0000012244999,0.000010850119,0.00008595408,0.000009183075,0.000066737004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959487,0.00014356163,0.000039123264,0.00007532668,0.000079543526,0.000067607],"domain_scores_gemma":[0.9969868,0.0022077207,0.00025057743,0.00019641203,0.00027880076,0.00007970517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010444442,0.000601491,0.0006059992,0.00068160455,0.00054675573,0.0006850133,0.0007275999,0.0009790517,0.00057657604],"category_scores_gemma":[0.003158106,0.00040852537,0.000825641,0.0005245879,0.00065085903,0.0008408749,0.0003694743,0.0006541658,0.000059240116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036884652,0.00040264288,0.023918346,0.0000761616,0.000064604734,0.00018844371,0.00011256438,0.95765233,0.012142233,0.00031480982,0.00009271461,0.0046663494],"study_design_scores_gemma":[0.000016938639,0.00012015963,0.0058660903,0.0000050982703,0.000014502016,0.000017318893,0.00004397582,0.986347,0.007432645,0.00006451949,0.000055832646,0.000015951277],"about_ca_topic_score_codex":0.021801079,"about_ca_topic_score_gemma":0.01426315,"teacher_disagreement_score":0.021801079,"about_ca_system_score_codex":0.0009992727,"about_ca_system_score_gemma":0.00074094685,"threshold_uncertainty_score":0.043348372},"labels":[],"label_agreement":null},{"id":"W2976098016","doi":"10.3390/en12193721","title":"Extreme Fast Charging Technology—Prospects to Enhance Sustainable Electric Transportation","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Transformer; Electrical engineering; Automotive engineering; Electronics; Battery (electricity); Engineering; Computer science; Voltage; Power (physics)","score_opus":0.005450559984591672,"score_gpt":0.23342586263788134,"score_spread":0.22797530265328966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976098016","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12741634,0.23327,0.36486664,0.015438245,0.0029457554,0.0001445658,0.00034571174,0.0011503224,0.25442243],"genre_scores_gemma":[0.71904343,0.18030114,0.05501352,0.0010796986,0.00077494874,0.00007304794,0.000336159,0.00012741341,0.04325067],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999057,0.000011936224,0.000003658622,0.000015459798,0.000044665518,0.000018441138],"domain_scores_gemma":[0.9999281,0.00001596344,0.000006934801,0.00000713495,0.000033408913,0.000008449352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024781554,0.00021758716,0.00019879019,0.00037653142,0.00019235695,0.0010078158,0.00044172574,0.0006750392,0.0031325493],"category_scores_gemma":[0.00020472815,0.00011860529,0.00024721568,0.0004695473,0.00030622527,0.0023634734,0.000596068,0.000618604,0.0011328505],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014126502,0.00014034504,0.0011573465,0.0014414351,0.00003883821,0.00056425284,0.00019667867,0.01196962,0.10378883,0.30753127,0.016898831,0.5561313],"study_design_scores_gemma":[0.000026302636,0.0005842409,0.0009852904,0.00036828517,0.00004140567,0.0014542177,0.00049555115,0.030791854,0.089713596,0.12614298,0.7493226,0.00007360531],"about_ca_topic_score_codex":0.00018519854,"about_ca_topic_score_gemma":0.0002618271,"teacher_disagreement_score":0.0031325493,"about_ca_system_score_codex":0.0003555208,"about_ca_system_score_gemma":0.00027079164,"threshold_uncertainty_score":0.01047945},"labels":[],"label_agreement":null},{"id":"W2979812032","doi":"10.3390/en12193803","title":"Biogas Upgrading: A Review of National Biomethane Strategies and Support Policies in Selected Countries","year":2019,"lang":"en","type":"review","venue":"Energies","topic":"Energy Efficiency and Management","field":"Energy","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biogas; Renewable energy; Sustainability; Business; Legislature; Bioenergy; Promotion (chess); European union; Biofuel; Incentive; Agricultural economics; Natural resource economics; Environmental economics; Waste management; Economics; Engineering; International trade; Political science","score_opus":0.04470997289379787,"score_gpt":0.3398345408165032,"score_spread":0.29512456792270536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979812032","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":[0.0025872951,0.99338645,0.00023122354,0.0005452278,0.000086645596,0.000020052115,0.0001370626,0.000006927256,0.0029991532],"genre_scores_gemma":[0.012094836,0.9868808,0.00042150353,0.00024565365,0.000021034315,0.00001936608,0.000111206704,0.000003286165,0.00020229787],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884856,0.00034997915,0.00028888445,0.00014380617,0.0002524604,0.000116341675],"domain_scores_gemma":[0.99678195,0.002096786,0.0005313032,0.00004939663,0.00045026638,0.00009039745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029810965,0.00067586056,0.0010157963,0.008551071,0.00049862714,0.0026932838,0.0008722117,0.00089599757,0.0017866904],"category_scores_gemma":[0.0043074097,0.00038708406,0.0010916168,0.015262955,0.00064383657,0.00222175,0.0010011275,0.0007558463,0.00023155702],"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":[0.00016123873,0.00008935787,0.0023752723,0.18667561,0.0005162735,0.0003705074,0.0018231752,0.002144006,0.0011044863,0.030845994,0.012812296,0.76108176],"study_design_scores_gemma":[0.000020511507,0.00020419726,0.015195314,0.19592743,0.0016100387,0.0006643368,0.0037720662,0.00036176763,0.0012623759,0.0038193648,0.77711123,0.000051398994],"about_ca_topic_score_codex":0.0074267136,"about_ca_topic_score_gemma":0.014217259,"teacher_disagreement_score":0.008551071,"about_ca_system_score_codex":0.0032198569,"about_ca_system_score_gemma":0.007869775,"threshold_uncertainty_score":0.023361802},"labels":[],"label_agreement":null},{"id":"W2979942992","doi":"10.3390/en12203860","title":"Reducing the Energy and Steam Consumption of SAGD Through Cyclic Solvent Co-Injection","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Oil sands; Solvent; Steam injection; Hexane; Petroleum engineering; Steam-assisted gravity drainage; Pentane; Oil viscosity; Pulp and paper industry; Propane; Chemistry; Environmental science; Light crude oil; Synthetic crude; Petroleum; Waste management; Shale oil; Viscosity; Materials science; Chromatography; Organic chemistry; Geology; Engineering; Asphalt; Composite material","score_opus":0.009381136961491138,"score_gpt":0.234521301500286,"score_spread":0.22514016453879485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979942992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881654,0.0005914077,0.008086742,0.00005599562,0.00002412146,0.00002838099,0.00014720137,0.00014927011,0.0027514081],"genre_scores_gemma":[0.99615014,0.00024954474,0.0029196471,0.000008973809,0.0000017045716,0.000011324814,0.00007731523,0.0000135919545,0.0005677588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991465,0.000006767705,0.0000038001563,0.000010859803,0.000041254694,0.000022719021],"domain_scores_gemma":[0.9998933,0.00003661161,0.000023138136,0.0000086774635,0.000025579726,0.000012691646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143898,0.0002145471,0.00028486564,0.00033816122,0.00017770634,0.00029540714,0.00031902714,0.00021149257,0.0013973076],"category_scores_gemma":[0.00031365504,0.00014434902,0.00040096467,0.00028888506,0.0002549347,0.00033783703,0.0002683989,0.0002740021,0.00017742712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010230881,0.0004307507,0.007855799,0.0008415208,0.00008251285,0.00044797442,0.000091487964,0.2084665,0.7192681,0.0011738435,0.00057903683,0.059739377],"study_design_scores_gemma":[0.00012504452,0.0017621311,0.009554774,0.000035402325,0.00012517757,0.00013499561,0.00012220624,0.39807236,0.584216,0.00031102408,0.005493138,0.00004776888],"about_ca_topic_score_codex":0.009048968,"about_ca_topic_score_gemma":0.01722079,"teacher_disagreement_score":0.009048968,"about_ca_system_score_codex":0.00056471454,"about_ca_system_score_gemma":0.0005400862,"threshold_uncertainty_score":0.017992616},"labels":[],"label_agreement":null},{"id":"W2980064011","doi":"10.3390/en12203881","title":"Experimental Study on Water Shutoff Technology Using In-Situ Ion Precipitation for Gas Reservoirs","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Chongqing Municipal Education Commission","keywords":"Precipitation; Ion; Volumetric flow rate; Environmental science; Permeability (electromagnetism); Formation water; Water injection (oil production); Petroleum engineering; Chemistry; Materials science; Geology; Meteorology; Mechanics; Membrane","score_opus":0.012999575444137122,"score_gpt":0.2578177384652494,"score_spread":0.24481816302111228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980064011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993109,0.0001466122,0.0058131153,0.00004479127,0.000017589295,0.000040801824,0.00008958105,0.000080885366,0.00065755297],"genre_scores_gemma":[0.99519944,0.00017728812,0.003907351,0.000015296291,0.0000058119444,0.000026887874,0.000057559715,0.000011940072,0.0005983371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970275,0.000034172157,0.000020782692,0.00006399292,0.00011846123,0.00005981281],"domain_scores_gemma":[0.9997032,0.00006050578,0.00007208217,0.000039025028,0.00010351037,0.000021503134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035290056,0.0003959119,0.00028904318,0.00022680039,0.0003189207,0.0002270767,0.000499214,0.0003405647,0.00084547256],"category_scores_gemma":[0.0004195371,0.00019185506,0.00029909093,0.00029168912,0.00030356005,0.0006277047,0.00028755452,0.00029715704,0.00013781566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012115591,0.00007786627,0.002217564,0.0001937379,0.000007289187,0.0001776605,0.00015959487,0.0008339874,0.9922012,0.00010450449,0.00009041661,0.0038149892],"study_design_scores_gemma":[0.000016259546,0.0007268894,0.0037702112,0.000004203414,0.000020221154,0.000079431295,0.00011411086,0.0038004955,0.99047124,0.000033118333,0.0009513524,0.000012391206],"about_ca_topic_score_codex":0.001231942,"about_ca_topic_score_gemma":0.0013046912,"teacher_disagreement_score":0.001231942,"about_ca_system_score_codex":0.0002762585,"about_ca_system_score_gemma":0.00022797288,"threshold_uncertainty_score":0.0028283596},"labels":[],"label_agreement":null},{"id":"W2980221931","doi":"10.3390/en12203855","title":"Intelligent Estimation of Vitrinite Reflectance of Coal from Photomicrographs Based on Machine Learning","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Geochemistry and Geologic Mapping","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":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Maceral; Vitrinite; Artificial intelligence; Coal; Computer science; Pattern recognition (psychology); Mean squared error; Cluster analysis; Support vector machine; Random forest; Data mining; Statistics; Mathematics; Engineering","score_opus":0.009777238484374255,"score_gpt":0.22498033378749066,"score_spread":0.2152030953031164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980221931","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":[0.20277312,0.00029846508,0.79227,0.00007563086,0.000021812057,0.000055094664,0.00013384207,0.0029443372,0.0014277385],"genre_scores_gemma":[0.75527835,0.00018283215,0.2431828,0.000034258854,0.000014813368,0.000045445122,0.00019797038,0.00010159153,0.00096182135],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969697,0.000045924844,0.000013361783,0.000120175675,0.00009731306,0.000026242511],"domain_scores_gemma":[0.99952805,0.00016168303,0.00008851341,0.00005906552,0.00014473614,0.000017918343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055970345,0.0004575257,0.00044376825,0.0012118708,0.00017816662,0.0005378041,0.000620719,0.00046503084,0.0005283333],"category_scores_gemma":[0.0011599759,0.000280551,0.00047912227,0.00048417752,0.00023220855,0.0006328368,0.00030379224,0.00033425595,0.0003728276],"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":[0.00029315028,0.00019083459,0.024211671,0.0002493338,0.00010663412,0.0001688252,0.00014704131,0.20156041,0.2007179,0.00084992097,0.0013302654,0.57017404],"study_design_scores_gemma":[0.0000041093836,0.000028265651,0.00855541,0.000005456539,0.000012092291,0.00006374448,0.000016010275,0.9621424,0.028495029,0.00033191088,0.00033110738,0.000014506295],"about_ca_topic_score_codex":0.002604991,"about_ca_topic_score_gemma":0.0051571783,"teacher_disagreement_score":0.002604991,"about_ca_system_score_codex":0.0004162105,"about_ca_system_score_gemma":0.0003652622,"threshold_uncertainty_score":0.005179584},"labels":[],"label_agreement":null},{"id":"W2980809399","doi":"10.3390/en12203932","title":"The Effect of Hydration on Pores of Shale Oil Reservoirs in the Third Submember of the Triassic Chang 7 Member in Southern Ordos Basin","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Key Research and Development Program of China; National Science and Technology Major Project; China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Oil shale; Geology; Porosity; Shale oil; Permeability (electromagnetism); Dissolution; Bedding; Quartz; Mineralogy; Geochemistry; Petroleum engineering; Petrology; Geotechnical engineering; Chemical engineering; Chemistry","score_opus":0.007961315984987864,"score_gpt":0.2133757821668818,"score_spread":0.20541446618189393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980809399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99979514,0.000025840733,0.000019080966,0.0000027685371,3.819275e-7,0.0000011927286,0.000010724837,0.0000021961355,0.0001428366],"genre_scores_gemma":[0.9998615,0.000013748269,0.000016633012,0.0000017565305,2.9749467e-7,7.046236e-7,0.000015805459,8.723024e-7,0.00008875945],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987996,0.000009967545,0.000008590809,0.000024862215,0.00003532147,0.000041381758],"domain_scores_gemma":[0.9997737,0.000032156902,0.000067212255,0.000010650071,0.000047054808,0.000069234455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012771363,0.00014112012,0.00016030933,0.00036182348,0.00034766435,0.00048773715,0.00018191265,0.00017940407,0.00070461107],"category_scores_gemma":[0.00033132156,0.00016122249,0.00017711562,0.0001946631,0.0005090223,0.0003930098,0.00040955888,0.00019637542,0.00006321551],"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":[0.0009045244,0.00019220107,0.33610168,0.00013906445,0.000051836592,0.0011966226,0.0016385703,0.002867815,0.64646447,0.00023145392,0.00009779639,0.0101140635],"study_design_scores_gemma":[0.000006551619,0.00019205322,0.96411526,0.000004625731,0.000015577696,0.0001438216,0.0010091094,0.001468871,0.03262943,0.00003456178,0.00036882993,0.000011302039],"about_ca_topic_score_codex":0.0117819505,"about_ca_topic_score_gemma":0.019580118,"teacher_disagreement_score":0.0117819505,"about_ca_system_score_codex":0.00041681007,"about_ca_system_score_gemma":0.00030264977,"threshold_uncertainty_score":0.023426771},"labels":[],"label_agreement":null},{"id":"W2980810818","doi":"10.3390/en12203942","title":"Human Body Heat Based Thermoelectric Harvester with Ultra-Low Input Power Management System for Wireless Sensors Powering","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Loughborough University","keywords":"Energy harvesting; Thermoelectric generator; Electrical engineering; Wireless sensor network; Power management; Electricity; Microcontroller; Sensor node; Energy storage; Electric potential energy; Voltage; Power (physics); Thermoelectric effect; Wireless; Automotive engineering; Engineering; Computer science; Telecommunications; Wireless network; Key distribution in wireless sensor networks; Physics","score_opus":0.0046338530805906195,"score_gpt":0.21358852223542643,"score_spread":0.20895466915483582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980810818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33201545,0.004827983,0.63971806,0.0007924116,0.00061962655,0.0002296682,0.00039704912,0.003614107,0.017785711],"genre_scores_gemma":[0.9419587,0.0010803147,0.038232647,0.00041558445,0.00009596515,0.00011201705,0.00020104469,0.00007426221,0.01782935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991155,0.000014078805,0.0000065276004,0.000025276462,0.000033013188,0.000009536303],"domain_scores_gemma":[0.99993384,0.000016188622,0.0000125834,0.000010580078,0.000022007267,0.0000046986843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105173924,0.0001857011,0.00024604064,0.00020523377,0.00013250702,0.0002468,0.000626267,0.0003021752,0.0027996488],"category_scores_gemma":[0.00015336002,0.00011215739,0.00020457458,0.00021429254,0.00013299944,0.0004279791,0.00022280203,0.00021912614,0.0006484495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028734017,0.00010667275,0.0015108507,0.0005307582,0.00005782752,0.0004676917,0.00017828513,0.002087417,0.7940049,0.0027471727,0.005512989,0.19250809],"study_design_scores_gemma":[0.00009138816,0.0016112304,0.00894755,0.00011880835,0.0001651033,0.0030083808,0.00015864917,0.09271321,0.8220674,0.0025840914,0.06844978,0.00008439522],"about_ca_topic_score_codex":0.00010916494,"about_ca_topic_score_gemma":0.00021888288,"teacher_disagreement_score":0.0027996488,"about_ca_system_score_codex":0.00013076693,"about_ca_system_score_gemma":0.0001020335,"threshold_uncertainty_score":0.009365797},"labels":[],"label_agreement":null},{"id":"W2980816372","doi":"10.3390/en12203969","title":"Methanol Marker for the Detection of Insulating Paper Degradation in Transformer Insulating Oil","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Hydro-Québec","funders":"Hydro-Québec","keywords":"Methanol; Electrical insulation paper; Materials science; Transformer; Cellulose; Cellulosic ethanol; Transformer oil; Forensic engineering; Analytical Chemistry (journal); Composite material; Chromatography; Chemistry; Electrical engineering; Engineering; Organic chemistry; Voltage","score_opus":0.00820220388146324,"score_gpt":0.2074694963955143,"score_spread":0.19926729251405106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980816372","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028495241,0.9905687,0.0045184977,0.00014487267,0.00020700818,0.00004195223,0.00011328928,0.000048165854,0.0015079941],"genre_scores_gemma":[0.019335572,0.97006154,0.007746169,0.00029615223,0.0002974035,0.00008005216,0.00027970356,0.000016351889,0.0018871379],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891734,0.00021038672,0.00017152326,0.00023986965,0.00040440098,0.000056579906],"domain_scores_gemma":[0.999044,0.00034660185,0.00022242573,0.00002489092,0.0003355554,0.00002643794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011164013,0.0012175094,0.0013677491,0.006784506,0.00025514723,0.0009503985,0.00089648226,0.001167345,0.0018435409],"category_scores_gemma":[0.0013168674,0.00047003408,0.0008699487,0.0036349902,0.00033520247,0.001896354,0.0005073294,0.0005302133,0.0014583124],"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":[0.00021390217,0.00014526267,0.0024903708,0.061179303,0.0003759159,0.00087940803,0.00020038238,0.00095350103,0.082936555,0.001613001,0.008049456,0.84096295],"study_design_scores_gemma":[0.000036702946,0.0011716577,0.015092841,0.010593762,0.0019823457,0.010348465,0.00062703615,0.0029078412,0.18275772,0.0018619121,0.7723398,0.00027994],"about_ca_topic_score_codex":0.0008736681,"about_ca_topic_score_gemma":0.0011429033,"teacher_disagreement_score":0.006784506,"about_ca_system_score_codex":0.0004503624,"about_ca_system_score_gemma":0.00073997764,"threshold_uncertainty_score":0.006167233},"labels":[],"label_agreement":null},{"id":"W2981126078","doi":"10.3390/en12203903","title":"Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministry of Water Resources; National Natural Science Foundation of China","keywords":"Particle swarm optimization; Estimation theory; Heuristic; System identification; Nonlinear system; Mathematical optimization; Computer science; Algorithm; Fuzzy logic; Control theory (sociology); Mathematics; Artificial intelligence; Data modeling","score_opus":0.01490654175149284,"score_gpt":0.22068029321715626,"score_spread":0.20577375146566343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981126078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084121086,0.0002542077,0.91252196,0.00010895323,0.000035644058,0.000059008267,0.000029657358,0.00032273156,0.0025467516],"genre_scores_gemma":[0.96090174,0.00012280932,0.038149282,0.000020301304,0.000008316587,0.000060722825,0.000037374375,0.000012915992,0.00068646576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998248,0.000044176108,0.000014703878,0.000042082123,0.000057694535,0.000016631227],"domain_scores_gemma":[0.9996445,0.0001699499,0.000060948725,0.000023693508,0.000092162896,0.000008833183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060534256,0.00062324543,0.00062514766,0.0003633153,0.000398997,0.0006892341,0.00039909818,0.00066559797,0.0004590317],"category_scores_gemma":[0.0012061944,0.00029597743,0.00045367004,0.00028078674,0.00037936415,0.000505228,0.00033511492,0.0004885319,0.00009418783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043292046,0.000016224703,0.0007754663,0.00004677416,0.000021128797,0.000049534465,0.000052415005,0.972357,0.0035981426,0.00086183427,0.0002185659,0.021959735],"study_design_scores_gemma":[0.000002970685,0.000009666267,0.00015649365,0.0000022430966,0.0000036372887,0.000004565581,0.000004418206,0.9991259,0.00047036767,0.00013858435,0.00007864059,0.0000024912492],"about_ca_topic_score_codex":0.008512506,"about_ca_topic_score_gemma":0.0037553227,"teacher_disagreement_score":0.008512506,"about_ca_system_score_codex":0.00032491036,"about_ca_system_score_gemma":0.0006222255,"threshold_uncertainty_score":0.016925871},"labels":[],"label_agreement":null},{"id":"W2981150582","doi":"10.3390/en12203897","title":"Challenges of Fast Charging for Electric Vehicles and the Role of Red Phosphorous as Anode Material: Review","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Argonne National Laboratory; Tsinghua University; National Natural Science Foundation of China; Department of Education of Guangdong Province; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Battery (electricity); Driving range; Anode; Automotive engineering; Range (aeronautics); Computer science; Electric vehicle; Electrical engineering; Power (physics); Engineering; Electrode; Aerospace engineering; Physics","score_opus":0.008106747120820502,"score_gpt":0.22518044594515138,"score_spread":0.2170736988243309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981150582","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":[0.00037694228,0.99706525,0.00023667775,0.0004892627,0.00030068096,0.0000040804293,0.000013496125,0.0000054351813,0.0015082042],"genre_scores_gemma":[0.002009482,0.9968927,0.00017891469,0.00019968704,0.00016755289,0.000004492478,0.00001769258,0.0000018468314,0.0005276146],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997751,0.00003272262,0.00002969503,0.0000462358,0.00008835697,0.000027955608],"domain_scores_gemma":[0.9995053,0.00024602,0.00007672642,0.000011241869,0.00013473778,0.000026016967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006227345,0.0006022192,0.0006573278,0.001302442,0.0002946859,0.0010809529,0.0007809374,0.001183588,0.0021423989],"category_scores_gemma":[0.0007240539,0.00028365772,0.00045853772,0.0017425756,0.0004110454,0.0017361376,0.0005724574,0.0010661975,0.0007981517],"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":[0.00007901893,0.00010453493,0.00052661233,0.049018815,0.00010915069,0.00044515965,0.0002119799,0.0016381522,0.005953089,0.028056704,0.03935777,0.874499],"study_design_scores_gemma":[0.000005318737,0.00011555373,0.00053803914,0.0029977832,0.00010474254,0.00078325975,0.0001465754,0.00030921836,0.001724846,0.003293853,0.98995906,0.000021840578],"about_ca_topic_score_codex":0.001424336,"about_ca_topic_score_gemma":0.0020388132,"teacher_disagreement_score":0.0021423989,"about_ca_system_score_codex":0.0004949801,"about_ca_system_score_gemma":0.0014701288,"threshold_uncertainty_score":0.0071670413},"labels":[],"label_agreement":null},{"id":"W2981562797","doi":"10.3390/en12214058","title":"Geothermal Energy for Sustainable Food Production in Canada’s Remote Northern Communities","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":42,"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 Waterloo","funders":"","keywords":"Renewable energy; Environmental science; Geothermal energy; Energy supply; Greenhouse gas; Geothermal gradient; Fossil fuel; Resource (disambiguation); Environmental protection; Energy source; Energy security; Environmental engineering; Waste management; Engineering; Energy (signal processing); Ecology; Geology","score_opus":0.018058780530442763,"score_gpt":0.19119288345398017,"score_spread":0.1731341029235374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981562797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85951185,0.0030884843,0.012835188,0.0025405204,0.00013553441,0.0005498525,0.0019245283,0.00043037062,0.11898367],"genre_scores_gemma":[0.98273027,0.0013465849,0.00732247,0.00017109916,0.000005598944,0.00009249308,0.00039676833,0.000024696466,0.0079099685],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997192,0.000017596347,0.0000033682452,0.000021951362,0.00013572352,0.00010209778],"domain_scores_gemma":[0.99979526,0.000010537681,0.0000094578145,0.000007541384,0.00012320238,0.000054028646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002771457,0.0002977568,0.00017852186,0.00031442507,0.0032952465,0.0012828778,0.0005250028,0.00027559375,0.0032856145],"category_scores_gemma":[0.00023415659,0.00013019683,0.0002842059,0.0007522308,0.00052315695,0.00036956216,0.00071944937,0.00042140434,0.0003164336],"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":[0.0016640822,0.00089172146,0.08557192,0.002921288,0.00014744411,0.0041831094,0.0037379344,0.054965485,0.44089717,0.034098417,0.05898886,0.31193265],"study_design_scores_gemma":[0.00045615018,0.0013921815,0.19556993,0.0008480966,0.00029419505,0.0010252672,0.023149814,0.07936847,0.18078667,0.0068271705,0.50995624,0.0003257663],"about_ca_topic_score_codex":0.9361005,"about_ca_topic_score_gemma":0.98429084,"teacher_disagreement_score":0.06389952,"about_ca_system_score_codex":0.014104547,"about_ca_system_score_gemma":0.022187622,"threshold_uncertainty_score":0.1285516},"labels":[],"label_agreement":null},{"id":"W2982008754","doi":"10.3390/en12214107","title":"Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Emissivity; Building energy simulation; HVAC; Roof; Glazing; Environmental science; Simulation; Dynamic simulation; Computer science; Coating; Energy (signal processing); Mechanical engineering; Efficient energy use; Materials science; Structural engineering; Engineering; Energy performance; Air conditioning; Optics; Composite material","score_opus":0.006464664932446986,"score_gpt":0.24069481757140407,"score_spread":0.23423015263895708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982008754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8894498,0.00008610784,0.10044355,0.00006657745,0.00006707198,0.00023260959,0.0011183969,0.0018123646,0.0067235357],"genre_scores_gemma":[0.9788264,0.000067217305,0.018580075,0.000012564321,0.0000045188517,0.00018799836,0.00042480478,0.0001045708,0.0017917599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961334,0.00009963676,0.00002273944,0.00006608912,0.00014706385,0.000051196053],"domain_scores_gemma":[0.99945205,0.00022150707,0.000040858835,0.00014458263,0.00011062111,0.000030474845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055200496,0.00094431493,0.00063151424,0.00048999954,0.00024514992,0.00061526307,0.0011988579,0.00055746414,0.0045344825],"category_scores_gemma":[0.0009072471,0.0002071285,0.0004332557,0.00040805282,0.00033793465,0.0004319598,0.00047240185,0.0004108936,0.0006064738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068568514,0.001218216,0.0053179786,0.0005861196,0.00007898508,0.00028431555,0.00032127762,0.807466,0.13730222,0.0015778001,0.001348819,0.043812655],"study_design_scores_gemma":[0.00012483246,0.0011657061,0.005057523,0.000026094434,0.000060685496,0.00011917324,0.00016985326,0.81158805,0.17697787,0.00038350504,0.004279479,0.00004729537],"about_ca_topic_score_codex":0.0014887566,"about_ca_topic_score_gemma":0.001405551,"teacher_disagreement_score":0.0045344825,"about_ca_system_score_codex":0.00045725447,"about_ca_system_score_gemma":0.00037692147,"threshold_uncertainty_score":0.015169382},"labels":[],"label_agreement":null},{"id":"W2982244497","doi":"10.3390/en12214054","title":"Computer Model for Financial, Environmental and Risk Analysis of a Wind–Diesel Hybrid System with Compressed Air Energy Storage","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Cegep de Sept Iles; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère de l'Énergie et des Ressources Naturelles","keywords":"Renewable energy; Wind power; Environmental economics; Diesel generator; Diesel fuel; Internal rate of return; Hybrid system; Net present value; Fossil fuel; Engineering; Electricity; Environmental science; Automotive engineering; Waste management; Computer science; Production (economics); Economics; Electrical engineering","score_opus":0.004881362544894312,"score_gpt":0.17276759166294195,"score_spread":0.16788622911804763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982244497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51889986,0.0007963712,0.36421755,0.0012985058,0.00016209905,0.00044531884,0.0038455043,0.0010337122,0.10930101],"genre_scores_gemma":[0.9734934,0.0002542379,0.007429428,0.00005515243,0.000018691924,0.00026742983,0.0006095897,0.00004865208,0.017823504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979824,0.000063616644,0.000008784804,0.000028922595,0.000055817967,0.000044653563],"domain_scores_gemma":[0.99928457,0.00045537777,0.000061432045,0.000019770901,0.00014801093,0.000030908064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040311093,0.0007440399,0.0008266179,0.000602322,0.0008615646,0.001381562,0.0012042932,0.0015471773,0.007597571],"category_scores_gemma":[0.001144819,0.00037689827,0.00085194706,0.0005923488,0.0006520002,0.0006652628,0.0006146872,0.0010986797,0.0005700934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021664462,0.000011228532,0.00034013542,0.000010941971,0.0000055519095,0.00004030456,0.000012137107,0.99705976,0.00018409877,0.0014253155,0.00018333556,0.00070552283],"study_design_scores_gemma":[0.000008053073,0.0000093245235,0.0001336476,0.000002393044,0.000004954607,0.00000823366,0.000009695055,0.99910706,0.00009098237,0.0004042894,0.00021843759,0.0000028746092],"about_ca_topic_score_codex":0.09976915,"about_ca_topic_score_gemma":0.05778392,"teacher_disagreement_score":0.09976915,"about_ca_system_score_codex":0.0026333241,"about_ca_system_score_gemma":0.0024612867,"threshold_uncertainty_score":0.19837683},"labels":[],"label_agreement":null},{"id":"W2982606892","doi":"10.3390/en12214139","title":"Design and Performance Analysis of Pads for Dynamic Wireless Charging of EVs using the Finite Element Method","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Converters; Wireless power transfer; Finite element method; Automotive engineering; Wireless; Coupling (piping); Battery (electricity); Power (physics); Inductive charging; Computer science; Engineering; Electronic engineering; Electrical engineering; Mechanical engineering; Telecommunications; Voltage","score_opus":0.015049469446463997,"score_gpt":0.24945337991873068,"score_spread":0.2344039104722667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982606892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12414345,0.0009574276,0.8528733,0.00031236414,0.00011148924,0.00019706713,0.00015576853,0.00073751586,0.020511542],"genre_scores_gemma":[0.8180581,0.0006182143,0.17392239,0.00006002542,0.00001432344,0.00029561177,0.00011728066,0.00006903786,0.0068450584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967813,0.00007916691,0.000014874439,0.000030348281,0.00017332322,0.000024192206],"domain_scores_gemma":[0.9996892,0.00012539267,0.000046446956,0.00003095758,0.00009589238,0.000012062974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004906326,0.0004998627,0.0004780044,0.00049830164,0.00027309553,0.0006596731,0.0007928156,0.00081712456,0.0027143375],"category_scores_gemma":[0.00079419784,0.00035511024,0.000730628,0.00029377785,0.00032444388,0.0003937527,0.0004255025,0.00032459828,0.0005523294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013166475,0.00009310305,0.0021364088,0.00051881565,0.00007624336,0.00025107854,0.00022605811,0.88393867,0.05537504,0.0047625825,0.0009775591,0.051512767],"study_design_scores_gemma":[0.00001242904,0.00022511526,0.0005325174,0.000041154046,0.000030704137,0.00011140241,0.00007720286,0.9797031,0.014335122,0.00047619172,0.004437924,0.000017083625],"about_ca_topic_score_codex":0.0007447397,"about_ca_topic_score_gemma":0.0007515978,"teacher_disagreement_score":0.0027143375,"about_ca_system_score_codex":0.00029556657,"about_ca_system_score_gemma":0.00044933322,"threshold_uncertainty_score":0.00908035},"labels":[],"label_agreement":null},{"id":"W2982656730","doi":"10.3390/en12214152","title":"A Research on Driving Factors of Carbon Emissions of Road Transportation Industry in Six Asia-Pacific Countries Based on the LMDI Decomposition Method","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Divisia index; Greenhouse gas; Transportation industry; China; Driving factors; Asia pacific; Agricultural economics; Business; Natural resource economics; Environmental science; Environmental engineering; Energy intensity; Economy; Transport engineering; Engineering; Geography; Energy consumption; Economics; International trade","score_opus":0.0196942820528509,"score_gpt":0.33080764864960666,"score_spread":0.31111336659675576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982656730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96250707,0.0013864322,0.02466298,0.0002743334,0.00009254043,0.00014732823,0.0019557124,0.00006732993,0.0089061875],"genre_scores_gemma":[0.9838268,0.0013390312,0.009496496,0.000035524346,0.000027958311,0.00013735484,0.002919411,0.000016895265,0.0022006608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958724,0.00007524741,0.00004107296,0.000094786235,0.0001246902,0.00007692834],"domain_scores_gemma":[0.99949384,0.00011587697,0.000080655576,0.000024406858,0.00023199861,0.000053181917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008530416,0.00071980903,0.00037090655,0.002600589,0.00042045474,0.0009757292,0.00031242424,0.00023265599,0.001841168],"category_scores_gemma":[0.0012596229,0.00026744863,0.0017500736,0.003136714,0.00021824124,0.00076800416,0.00057787687,0.0007132354,0.00023140803],"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":[0.00008535615,0.00017052054,0.882747,0.00038938774,0.0005973474,0.00043916577,0.0008951994,0.015395708,0.0024613559,0.0059657255,0.0020113178,0.08884186],"study_design_scores_gemma":[0.000026668313,0.00014085611,0.90560496,0.00016470307,0.00049463415,0.00019232708,0.0034685845,0.07545534,0.0029095535,0.002382739,0.009096015,0.000063647414],"about_ca_topic_score_codex":0.03371136,"about_ca_topic_score_gemma":0.02142342,"teacher_disagreement_score":0.03371136,"about_ca_system_score_codex":0.0008500986,"about_ca_system_score_gemma":0.0017528773,"threshold_uncertainty_score":0.06703031},"labels":[],"label_agreement":null},{"id":"W2984883725","doi":"10.3390/en12224351","title":"Supply Side Management vs. Demand Side Management of a Residential Microgrid Equipped with an Electric Vehicle in a Dual Tariff Scheme","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Rimouski","funders":"","keywords":"Microgrid; Energy management; Renewable energy; Demand side; Prosumer; Photovoltaic system; Electric vehicle; Environmental economics; Tariff; Cost of electricity by source; Energy management system; Engineering; Automotive engineering; Electricity generation; Business; Power (physics); Energy (signal processing); Electrical engineering; Economics","score_opus":0.0039105886877790165,"score_gpt":0.1881049497228608,"score_spread":0.18419436103508177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984883725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70033085,0.000287606,0.25427887,0.00038526455,0.000079037774,0.00018952186,0.00024069256,0.0003487051,0.043859363],"genre_scores_gemma":[0.99580413,0.000030398674,0.0024104433,0.0000074801624,0.0000060782736,0.000009694499,0.000019531575,0.000005167067,0.001707197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998516,0.0000434724,0.000008019842,0.000026761632,0.000031889736,0.00003818194],"domain_scores_gemma":[0.9999112,0.000014187246,0.000017124463,0.000012798347,0.00002908736,0.000015559217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023376578,0.00034783327,0.00036239708,0.00021449165,0.00028770752,0.00079066114,0.00046885427,0.0003121048,0.003602379],"category_scores_gemma":[0.00019744012,0.000116258736,0.00025954645,0.00026106485,0.00019566967,0.00049310556,0.00043062808,0.00024712848,0.00030888623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008786562,0.00032274504,0.0032643941,0.00018041032,0.00008595555,0.0004672052,0.00011625627,0.86082065,0.028282173,0.019984331,0.0018122417,0.083785005],"study_design_scores_gemma":[0.000019825733,0.00028884085,0.0014179912,0.000008655756,0.000038566024,0.000094906034,0.00009521245,0.9895962,0.003460337,0.003675882,0.0012930222,0.000010528584],"about_ca_topic_score_codex":0.0017016246,"about_ca_topic_score_gemma":0.0028550013,"teacher_disagreement_score":0.003602379,"about_ca_system_score_codex":0.00051086233,"about_ca_system_score_gemma":0.00038881818,"threshold_uncertainty_score":0.012051165},"labels":[],"label_agreement":null},{"id":"W2985562100","doi":"10.3390/en12224249","title":"Nonlinear Analysis and Performance of Electret-Based Microcantilever Energy Harvesters","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electret; Capacitor; Materials science; Voltage; Energy harvesting; Electrical engineering; Acoustics; Power (physics); Engineering; Physics; Composite material","score_opus":0.0037289185638436804,"score_gpt":0.17313721215008285,"score_spread":0.16940829358623916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985562100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766699,0.0006319884,0.019776035,0.0001470796,0.000015958116,0.000016508735,0.00010824366,0.00008822853,0.0025460878],"genre_scores_gemma":[0.9923505,0.00037532538,0.0039177933,0.000030777366,0.0000044750427,0.000022018972,0.00006769178,0.000017264638,0.0032141667],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998599,0.000009286053,0.0000064477995,0.000038796454,0.00006441976,0.00002111726],"domain_scores_gemma":[0.9997774,0.00012017893,0.00003544178,0.000019266385,0.000038205224,0.000009584035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022654017,0.00020625997,0.00029509157,0.00018756835,0.00013741359,0.0002907981,0.00047021866,0.00058793684,0.0015484381],"category_scores_gemma":[0.0005208446,0.00017704487,0.00021792766,0.00024205205,0.00037793882,0.00054465176,0.00029238965,0.00035430712,0.00038424044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104463754,0.000026712018,0.000338629,0.00011930169,0.00001627978,0.00017559825,0.00011216637,0.020620484,0.9727748,0.00074989296,0.00011318225,0.0048485696],"study_design_scores_gemma":[0.000015638692,0.0002604826,0.0025473107,0.0000171921,0.000014841676,0.00010537988,0.00008271819,0.28492212,0.7103971,0.00051567494,0.0011002955,0.000021151887],"about_ca_topic_score_codex":0.00036442917,"about_ca_topic_score_gemma":0.00046737574,"teacher_disagreement_score":0.0015484381,"about_ca_system_score_codex":0.00030527762,"about_ca_system_score_gemma":0.000094550756,"threshold_uncertainty_score":0.005180061},"labels":[],"label_agreement":null},{"id":"W2990859967","doi":"10.3390/en12234492","title":"Factors Affecting Fuelwood Consumption and CO2 Emissions: An Example from a Community-Managed Forest of Nepal","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","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":"Carleton University","funders":"Universität für Bodenkultur Wien; OeAD-GmbH; Österreichische Agentur für Internationale Mobilität und Kooperation in Bildung, Wissenschaft und Forschung","keywords":"Livelihood; Greenhouse gas; Per capita; Consumption (sociology); Carbon sequestration; Agricultural economics; Energy consumption; Carbon fibers; Deforestation (computer science); Natural resource economics; Environmental science; Livestock; Geography; Agroforestry; Environmental protection; Business; Forestry; Carbon dioxide; Agriculture; Economics; Population; Ecology","score_opus":0.04749188813273666,"score_gpt":0.24164455893841683,"score_spread":0.19415267080568016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990859967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986941,0.000067074594,0.000032529697,0.00006437018,4.907558e-7,0.000006403193,0.000034517132,6.452728e-7,0.0010999766],"genre_scores_gemma":[0.9993268,0.00018274631,0.00007914587,0.000032103042,0.0000013957432,0.000007716629,0.000047865065,8.8924423e-7,0.0003212759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982905,0.00007166597,0.0000054855295,0.000017919414,0.000021011685,0.000054877033],"domain_scores_gemma":[0.99958175,0.00020848172,0.00006172826,0.000016701082,0.00007886946,0.000052458436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025980617,0.00019660735,0.00015464994,0.00068851945,0.0015268901,0.00081670424,0.00041454032,0.0004660313,0.0011816961],"category_scores_gemma":[0.00055696093,0.000087789005,0.0002176573,0.0012206296,0.00064700656,0.00041726526,0.000771673,0.0004348402,0.00012064987],"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":[0.00021058726,0.00062621024,0.86112875,0.00022693083,0.00011611934,0.025118222,0.07979701,0.00054059795,0.0031478489,0.0012928965,0.00090882945,0.026886106],"study_design_scores_gemma":[0.00001281869,0.00021517205,0.8615125,0.00010973376,0.00006709215,0.0033272118,0.12887831,0.001051372,0.00062166573,0.00052066945,0.0036552434,0.000028323742],"about_ca_topic_score_codex":0.04941256,"about_ca_topic_score_gemma":0.12320806,"teacher_disagreement_score":0.04941256,"about_ca_system_score_codex":0.00083230226,"about_ca_system_score_gemma":0.0005964621,"threshold_uncertainty_score":0.09824985},"labels":[],"label_agreement":null},{"id":"W2995009288","doi":"10.3390/en13010063","title":"Cantilevered Piezoelectric Micro Generator Design Issues and Application to the Mining Locomotive","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Energy harvesting; Wireless; Cantilever; Vibration; Node (physics); Electronics; Wireless sensor network; Generator (circuit theory); Engineering; Energy (signal processing); Piezoelectricity; Mechanical engineering; Work (physics); Transmission (telecommunications); Automotive engineering; Electrical engineering; Computer science; Telecommunications; Power (physics); Acoustics; Structural engineering; Physics","score_opus":0.00939690218651936,"score_gpt":0.2121090714291248,"score_spread":0.20271216924260543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995009288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055924032,0.0112657,0.9121503,0.0014851781,0.0002492939,0.00019384096,0.000065229535,0.00016359294,0.018502804],"genre_scores_gemma":[0.68219304,0.018524908,0.26209715,0.00041970547,0.00025060825,0.0003214782,0.00012733087,0.000073432544,0.03599233],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977404,0.000047726728,0.000010795457,0.000053521286,0.00009955352,0.000014314906],"domain_scores_gemma":[0.99979633,0.00011218734,0.000027107659,0.000011857975,0.00004549443,0.00000705833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050297467,0.00041287288,0.00026197667,0.00026796627,0.00019592505,0.0005870714,0.00055958424,0.0011107574,0.0024326225],"category_scores_gemma":[0.00064145157,0.0002738788,0.00029818324,0.00026049098,0.0003614913,0.0005732455,0.00029715788,0.0004792586,0.0005401179],"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":[0.00016394354,0.00013960947,0.0032815614,0.0022763228,0.000060939463,0.0013069417,0.00058808224,0.11613343,0.50799996,0.0574648,0.0028654977,0.30771905],"study_design_scores_gemma":[0.000068654066,0.0029728233,0.006955227,0.0003882906,0.00013790635,0.003917977,0.00069787534,0.5281541,0.20813543,0.02187737,0.22655207,0.00014234614],"about_ca_topic_score_codex":0.0003544791,"about_ca_topic_score_gemma":0.0008658503,"teacher_disagreement_score":0.0024326225,"about_ca_system_score_codex":0.00032686428,"about_ca_system_score_gemma":0.00026233235,"threshold_uncertainty_score":0.008137882},"labels":[],"label_agreement":null},{"id":"W2995317850","doi":"10.3390/en12244763","title":"Effects of Intercooling and Inter-Stage Heat Recovery on the Performance of Two-Stage Transcritical CO2 Cycles for Residential Heating Applications","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcritical cycle; Intercooler; Refrigerant; Superheating; Heat recovery ventilation; Thermodynamics; Overall pressure ratio; Process engineering; Nuclear engineering; Environmental science; Heat exchanger; Engineering; Gas compressor","score_opus":0.007100729857168907,"score_gpt":0.23078282059400923,"score_spread":0.2236820907368403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995317850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950145,0.00041784777,0.00253699,0.000027886432,0.000014686541,0.000022448956,0.00014037412,0.0000820398,0.001743183],"genre_scores_gemma":[0.9981415,0.0001554934,0.0010926496,0.000007654216,0.0000015903394,0.000024819059,0.000079329315,0.000029333352,0.0004676038],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982446,0.00001605277,0.000009556767,0.000036341175,0.000065930944,0.00004768046],"domain_scores_gemma":[0.9997732,0.000119582786,0.000025001573,0.000017733637,0.000050859482,0.000013567722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028184135,0.00046907688,0.00047835082,0.00037891936,0.00029466706,0.0003774923,0.00044216454,0.00039867626,0.001808319],"category_scores_gemma":[0.00066301896,0.00026484646,0.00049299205,0.00041350882,0.00023739184,0.00041566134,0.00025226898,0.0004579369,0.00025359023],"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":[0.0025455842,0.0005141787,0.009273409,0.0010559493,0.00010609969,0.00058267615,0.00040148845,0.37430865,0.55231637,0.0009077006,0.0008042184,0.057183795],"study_design_scores_gemma":[0.0000751317,0.0025247028,0.01737307,0.00004206953,0.000110638,0.000095330455,0.00019643502,0.4103304,0.56668764,0.00024056408,0.0022374985,0.00008644101],"about_ca_topic_score_codex":0.0026371817,"about_ca_topic_score_gemma":0.003753077,"teacher_disagreement_score":0.0026371817,"about_ca_system_score_codex":0.00037801178,"about_ca_system_score_gemma":0.0003600372,"threshold_uncertainty_score":0.0060493946},"labels":[],"label_agreement":null},{"id":"W2995937686","doi":"10.3390/en12244775","title":"Assessing the Energy and Indoor Air Quality Performance for a Three-Story Building Using an Integrated Model, Part One: The Need for Integration","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Indoor air quality; Engineering; Simulation; Energy consumption; Automotive engineering; Environmental science; Environmental engineering","score_opus":0.04364478154501817,"score_gpt":0.2783905620676536,"score_spread":0.23474578052263545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995937686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612353,0.000074451746,0.03483671,0.00007657716,0.000014688225,0.00006242796,0.00032781815,0.0001434664,0.0032286376],"genre_scores_gemma":[0.9933153,0.000045396333,0.0058734287,0.000010177979,0.0000026080718,0.000042434865,0.00016917352,0.000013056562,0.0005284654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999819,0.00004862079,0.000009242487,0.000042861644,0.000045166475,0.0000350465],"domain_scores_gemma":[0.99977297,0.00009802709,0.000024233204,0.00002740522,0.000058005724,0.000019323195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041447513,0.00083088665,0.0006335615,0.00028456244,0.00042999804,0.00088601845,0.00084327324,0.00097105553,0.00091057125],"category_scores_gemma":[0.0006145718,0.00032987053,0.0010468389,0.00040950556,0.00031082082,0.00062842574,0.00047951838,0.00056952535,0.000114727634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005309588,0.0000622331,0.0027412197,0.000017483482,0.000018405372,0.000036797985,0.00001947238,0.99134994,0.0038405734,0.00023956885,0.000037007063,0.0015842412],"study_design_scores_gemma":[0.000011333819,0.00006587135,0.0013910279,0.0000018292659,0.000016972961,0.0000056281874,0.000013946646,0.9969432,0.0013976459,0.000054722972,0.000091029295,0.0000068427557],"about_ca_topic_score_codex":0.059707,"about_ca_topic_score_gemma":0.036010895,"teacher_disagreement_score":0.059707,"about_ca_system_score_codex":0.0012020459,"about_ca_system_score_gemma":0.0011946396,"threshold_uncertainty_score":0.11871892},"labels":[],"label_agreement":null},{"id":"W2996078113","doi":"10.3390/en13010096","title":"Long-Term Temperature Evaluation of a Ground-Coupled Heat Pump System Subject to Groundwater Flow","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heat pump; Groundwater; Groundwater flow; Dewatering; Environmental science; Advection; Flow conditions; Borehole; Heat transfer; Flow (mathematics); Hydrology (agriculture); Heat exchanger; Geotechnical engineering; Aquifer; Engineering; Mechanics; Mechanical engineering","score_opus":0.01351020383717857,"score_gpt":0.24366781750708294,"score_spread":0.23015761366990437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996078113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853563,0.000023462495,0.0010349182,0.000016141277,0.000005855117,0.000015127289,0.00007454787,0.00005478263,0.00023949417],"genre_scores_gemma":[0.9995283,0.000009824241,0.0002824763,0.0000019646402,7.3866846e-7,0.000007691187,0.000050367194,0.000003313502,0.00011544052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997161,0.00006458844,0.000018390052,0.00007063687,0.0000721238,0.000058243608],"domain_scores_gemma":[0.9993088,0.000318321,0.00007434259,0.00005590217,0.000171423,0.00007123371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000648436,0.00056322664,0.0008373927,0.0002803446,0.0005999111,0.00055466016,0.00053951173,0.00061501743,0.0009894487],"category_scores_gemma":[0.0011131633,0.00035767254,0.0004604799,0.00027528778,0.00073093234,0.0006886425,0.00040636986,0.0005362598,0.00015979106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013096932,0.0007184134,0.019063154,0.00020637453,0.00008503318,0.00027898807,0.0002435072,0.843874,0.12234665,0.0002447556,0.000329669,0.011299805],"study_design_scores_gemma":[0.00008425331,0.0018882927,0.0150043275,0.000006353514,0.000050263527,0.000031207368,0.00012816185,0.94100976,0.041501645,0.00007278135,0.00018858074,0.00003439781],"about_ca_topic_score_codex":0.012710567,"about_ca_topic_score_gemma":0.010069319,"teacher_disagreement_score":0.012710567,"about_ca_system_score_codex":0.0010954494,"about_ca_system_score_gemma":0.00068475,"threshold_uncertainty_score":0.025273204},"labels":[],"label_agreement":null},{"id":"W2996813151","doi":"10.3390/en13010130","title":"Generating Energy Data for Machine Learning with Recurrent Generative Adversarial Networks","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":154,"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","keywords":"Computer science; Recurrent neural network; Artificial intelligence; Deep learning; Smart grid; Machine learning; Convolutional neural network; Autoregressive integrated moving average; Stability (learning theory); Grid; Energy consumption; Anomaly detection; Data mining; Time series; Artificial neural network","score_opus":0.02720047849271696,"score_gpt":0.27383272449302537,"score_spread":0.24663224600030842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996813151","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":[0.024044707,0.00019095339,0.97297215,0.00029455582,0.00004640592,0.0000515901,0.0002065567,0.00067132374,0.0015217012],"genre_scores_gemma":[0.8012077,0.00033598667,0.19277512,0.00030568778,0.00006573279,0.00024367883,0.0012329333,0.00019953802,0.0036336493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996847,0.0001296322,0.000014606283,0.00007396844,0.0000673071,0.00002974313],"domain_scores_gemma":[0.99886876,0.00079540996,0.00007761989,0.00012429591,0.00010759181,0.000026242158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010290806,0.0007526166,0.0005311225,0.00034085088,0.00019646568,0.0005348106,0.0008950782,0.00078488095,0.0014387175],"category_scores_gemma":[0.0036021925,0.0004224239,0.00066794374,0.0004100855,0.0006063631,0.0008734634,0.000845102,0.0019211767,0.00042724152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040553477,0.000020721858,0.0004021735,0.000020878786,0.00001638907,0.000037864695,0.000020774216,0.97544837,0.00087879796,0.006859105,0.000734,0.015520379],"study_design_scores_gemma":[0.0000013516734,0.000003685108,0.000029285173,0.0000013885365,9.2328315e-7,0.000004099356,0.0000012762334,0.9975889,0.0002844751,0.0019672352,0.000115811294,0.0000015525827],"about_ca_topic_score_codex":0.002997592,"about_ca_topic_score_gemma":0.0040570325,"teacher_disagreement_score":0.002997592,"about_ca_system_score_codex":0.0007239004,"about_ca_system_score_gemma":0.00038165323,"threshold_uncertainty_score":0.0059602857},"labels":[],"label_agreement":null},{"id":"W2997151497","doi":"10.3390/en13010098","title":"Flexibility from Electric Boiler and Thermal Storage for Multi Energy System Interaction","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Aalborg Universitet","keywords":"Thermal energy storage; Flexibility (engineering); Electricity; Demand response; Peak demand; Process engineering; Computer science; Automotive engineering; Environmental science; Engineering; Electrical engineering","score_opus":0.01079440683326225,"score_gpt":0.2108854239562747,"score_spread":0.20009101712301244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997151497","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":[0.36298442,0.00042530423,0.6163437,0.00023706943,0.000046198067,0.00005092553,0.00013595977,0.0005431774,0.019233324],"genre_scores_gemma":[0.99292326,0.000031795254,0.0060205166,0.000008012777,0.000003881986,0.000013376049,0.000017276183,0.000013714397,0.00096815784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998776,0.00004661245,0.0000050008316,0.000021015048,0.00003119225,0.000018595802],"domain_scores_gemma":[0.9998771,0.0000695341,0.000013749429,0.000017395814,0.000012679764,0.000009573946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024677694,0.00048767554,0.0003498596,0.00018034929,0.00027486318,0.00052312156,0.00039242618,0.00031202237,0.002667216],"category_scores_gemma":[0.00047971524,0.00019438322,0.0003937317,0.00029348224,0.00028675483,0.00070786296,0.0005828008,0.000422289,0.00016561756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013666823,0.00003306983,0.001181907,0.00003989117,0.000034340224,0.00010134396,0.000043547192,0.9677027,0.0062869755,0.004963353,0.00020531286,0.019271033],"study_design_scores_gemma":[0.0000038270873,0.000034807817,0.0007030756,0.0000025562579,0.0000068119566,0.000017601882,0.000015601885,0.9959422,0.0009896245,0.0018510241,0.0004267418,0.000006070414],"about_ca_topic_score_codex":0.0025068757,"about_ca_topic_score_gemma":0.0038375151,"teacher_disagreement_score":0.002667216,"about_ca_system_score_codex":0.0002839375,"about_ca_system_score_gemma":0.0002607504,"threshold_uncertainty_score":0.008922756},"labels":[],"label_agreement":null},{"id":"W2997476734","doi":"10.3390/en13010268","title":"Effect of Slot Width and Density on Slotted Liner Performance in SAGD Operations","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Steam-assisted gravity drainage; Oil sands; Geotechnical engineering; Geology; Stress (linguistics); Petroleum engineering; Asphalt; Materials science; Composite material","score_opus":0.004591282184560545,"score_gpt":0.19592274124586131,"score_spread":0.19133145906130078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997476734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992409,0.00003858479,0.00052558526,0.0000040316663,0.0000039893152,0.0000051440447,0.000040247494,0.00003586774,0.00010580811],"genre_scores_gemma":[0.9988255,0.0000344936,0.00081094075,0.0000028211755,0.0000014178565,0.000004510849,0.00006756947,0.000013989139,0.00023867773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996971,0.000033070668,0.000035059777,0.000066941575,0.00010748415,0.00006035188],"domain_scores_gemma":[0.9987765,0.00034523997,0.00033961842,0.00014363327,0.00025531073,0.00013981818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003698762,0.00034818292,0.00031422876,0.00034825847,0.00018939677,0.0004364621,0.000386385,0.00027931636,0.0012544045],"category_scores_gemma":[0.0014139485,0.00026334525,0.0002165866,0.00031553948,0.0003137968,0.0003372755,0.00025124787,0.0002315283,0.00023791731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015004495,0.0001514394,0.008356346,0.000109443245,0.000018732497,0.00030002906,0.00021167802,0.005089445,0.9718965,0.00005371587,0.000087046144,0.012225075],"study_design_scores_gemma":[0.00005839037,0.006796807,0.10030317,0.0000152585,0.00005923561,0.00029131054,0.00057466945,0.013078044,0.87764764,0.00003390545,0.0010911423,0.000050428476],"about_ca_topic_score_codex":0.0010326407,"about_ca_topic_score_gemma":0.0019901462,"teacher_disagreement_score":0.0012544045,"about_ca_system_score_codex":0.00017364329,"about_ca_system_score_gemma":0.00013794714,"threshold_uncertainty_score":0.0041964054},"labels":[],"label_agreement":null},{"id":"W2997697343","doi":"10.3390/en13010208","title":"Planning an Energy–Water–Environment Nexus System in Coal-Dependent Regions under Uncertainties","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Beijing Municipal Social Science Foundation","keywords":"Water-energy nexus; Nexus (standard); Coal; Stochastic programming; Autoregressive integrated moving average; Environmental science; Range (aeronautics); Energy planning; Fuzzy logic; Environmental engineering; Electricity; Monte Carlo method; Engineering; Computer science; Mathematical optimization; Renewable energy; Waste management; Mathematics","score_opus":0.028446387964537443,"score_gpt":0.21420330598532797,"score_spread":0.18575691802079053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997697343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46912825,0.00059251505,0.515659,0.0009894369,0.000056288467,0.00016301578,0.0005252976,0.00023080052,0.0126554435],"genre_scores_gemma":[0.97634286,0.00019691522,0.020728484,0.000044765922,0.000009151275,0.00010233369,0.00013942848,0.000019707724,0.0024163916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960345,0.00015648978,0.000015478916,0.000091696034,0.00005022559,0.000082736726],"domain_scores_gemma":[0.99953556,0.00025635856,0.00007907035,0.000014802346,0.00006150669,0.00005275335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085341407,0.0007094144,0.0007774101,0.00051170494,0.0005542295,0.0011724243,0.0008214978,0.0011702429,0.0016176207],"category_scores_gemma":[0.00122532,0.0005881859,0.00068419677,0.0007531985,0.00072534406,0.0011461928,0.0010349423,0.00070367096,0.000085347965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001136432,0.0000063079074,0.0003290861,0.0000106455955,0.00000989355,0.000050239803,0.000015204341,0.99625224,0.00011137124,0.0018276077,0.00007411336,0.0013019395],"study_design_scores_gemma":[0.0000035050107,0.00000942356,0.00014295752,0.0000021768692,0.0000058140818,0.000004406086,0.000033742403,0.9979456,0.00007331847,0.0016459483,0.00012982698,0.000003244998],"about_ca_topic_score_codex":0.031730425,"about_ca_topic_score_gemma":0.02660072,"teacher_disagreement_score":0.031730425,"about_ca_system_score_codex":0.0015985128,"about_ca_system_score_gemma":0.0027525537,"threshold_uncertainty_score":0.06309146},"labels":[],"label_agreement":null},{"id":"W2998451856","doi":"10.3390/en13010128","title":"Effect of Moisture on Gas Emissions from Stored Woody Biomass","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province","keywords":"Moisture; Water content; Environmental science; Biomass (ecology); Environmental chemistry; Pulp and paper industry; Chemistry; Agronomy","score_opus":0.0029394953617263527,"score_gpt":0.19766591519986418,"score_spread":0.19472641983813782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998451856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990496,0.00030620774,0.00027492666,0.000005478237,0.0000054766338,0.000005649597,0.00014508438,0.0000073732012,0.00020017885],"genre_scores_gemma":[0.99857306,0.0002531764,0.00052984344,0.000017893251,0.000003391489,0.000009689429,0.00020362357,0.0000075016196,0.00040180326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998079,0.000025753061,0.000016584698,0.00005528855,0.00005510479,0.000039469443],"domain_scores_gemma":[0.99975795,0.00008980696,0.000058142872,0.000016358714,0.000055652432,0.00002202746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022804156,0.00033320763,0.00023498297,0.0001944659,0.00015693088,0.00037271602,0.00018422514,0.00020298308,0.0008151489],"category_scores_gemma":[0.00027477095,0.00013264621,0.00027050468,0.0001755235,0.00015766597,0.00032417057,0.00018933015,0.0002849542,0.00012556935],"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":[0.0002934846,0.000033888202,0.0025404512,0.00005947497,0.0000148003255,0.00006011266,0.000031271873,0.0001490899,0.99455774,0.000009106198,0.000014735134,0.00223581],"study_design_scores_gemma":[0.0000033540193,0.00045873158,0.02190025,0.000007818285,0.000023546105,0.00005000256,0.00007713751,0.0004002227,0.9768093,0.000008849237,0.0002534897,0.0000072719267],"about_ca_topic_score_codex":0.0013297251,"about_ca_topic_score_gemma":0.0023201916,"teacher_disagreement_score":0.0013297251,"about_ca_system_score_codex":0.00019064642,"about_ca_system_score_gemma":0.00011831228,"threshold_uncertainty_score":0.002726972},"labels":[],"label_agreement":null},{"id":"W2999570176","doi":"10.3390/en13020506","title":"Growth and Production of Lipids in Raphidocelis subcapitata Immobilized in Sodium Alginate Beads","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Algal biology and biofuel production","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Biomass (ecology); Chemistry; Phosphate; Chromatography; Sodium; Biodiesel; Dry weight; Food science; Biochemistry; Biology; Botany; Agronomy; Organic chemistry; Catalysis","score_opus":0.012681881297836591,"score_gpt":0.21791262393562766,"score_spread":0.20523074263779106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999570176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789894,0.0006196523,0.0005226915,0.00003217132,0.000008359152,0.000008467792,0.00020299264,0.000020365394,0.0006864111],"genre_scores_gemma":[0.993367,0.00067049544,0.0027341633,0.00002862905,0.000006741083,0.000030926818,0.00065503654,0.000016574628,0.0024903042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985456,0.00001453783,0.000018845474,0.000040625793,0.000040854793,0.00003053778],"domain_scores_gemma":[0.9998791,0.00001979852,0.000039097315,0.000018896273,0.000025046056,0.000018031742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014392805,0.00063633884,0.00041018048,0.0002512038,0.00013573043,0.00035518085,0.00025828232,0.00027889965,0.0003084089],"category_scores_gemma":[0.00016165413,0.00017924301,0.00037482296,0.00026000838,0.00014438646,0.00021207656,0.00038569095,0.00031442507,0.00031140455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003167369,0.000008536297,0.00020555416,0.000021316851,0.0000028277716,0.000036031535,0.000013647235,0.000053260654,0.99878997,0.0000073440465,0.000005351796,0.0008245338],"study_design_scores_gemma":[0.000009765805,0.0003028992,0.013800873,0.000011044852,0.000032707714,0.00013354367,0.0000754298,0.0009892511,0.98364013,0.00001558938,0.0009759397,0.000012817728],"about_ca_topic_score_codex":0.0032921436,"about_ca_topic_score_gemma":0.0033543203,"teacher_disagreement_score":0.0032921436,"about_ca_system_score_codex":0.00026354069,"about_ca_system_score_gemma":0.00025003916,"threshold_uncertainty_score":0.006545961},"labels":[],"label_agreement":null},{"id":"W2999768210","doi":"10.3390/en13020434","title":"A Topology Synthetization Method for Single-Phase, Full-Bridge, Transformerless Inverter with Leakage Current Suppression Part I","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Network topology; Inverter; Topology (electrical circuits); Decoupling (probability); Pulse-width modulation; Computer science; Electronic engineering; Photovoltaic system; Engineering; Voltage; Electrical engineering; Control engineering","score_opus":0.04084517964556467,"score_gpt":0.2795691570080574,"score_spread":0.23872397736249273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999768210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019483644,0.00022659078,0.99182034,0.000027692133,0.000058583446,0.000060298345,0.000029819143,0.00015010727,0.0056782975],"genre_scores_gemma":[0.13709515,0.0008824723,0.8536556,0.000059540667,0.00005830069,0.0002944809,0.00024232421,0.000110003275,0.007602143],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982685,0.00003865225,0.000016628439,0.000035604116,0.00007591388,0.0000063017364],"domain_scores_gemma":[0.9998995,0.000024485691,0.000014711597,0.000018654291,0.000039093673,0.0000035610353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025846338,0.0004912101,0.00025995064,0.0007450492,0.00034848298,0.0005177554,0.0005535933,0.00033693353,0.0059842234],"category_scores_gemma":[0.0004417279,0.00024132687,0.00040287926,0.000573422,0.0003514401,0.0007833585,0.00034654734,0.00046564985,0.0011789959],"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":[0.000042267773,0.000057085097,0.00034293943,0.0010384365,0.00003854115,0.00035869342,0.00031510522,0.054783024,0.1498591,0.20283137,0.005890313,0.58444303],"study_design_scores_gemma":[0.0000393856,0.0003217272,0.00090991094,0.0001804048,0.00006401077,0.0018858559,0.00016943213,0.6737618,0.08980829,0.09245635,0.14032921,0.00007363386],"about_ca_topic_score_codex":0.00024197315,"about_ca_topic_score_gemma":0.00038152243,"teacher_disagreement_score":0.0059842234,"about_ca_system_score_codex":0.00029344697,"about_ca_system_score_gemma":0.00037304926,"threshold_uncertainty_score":0.020019174},"labels":[],"label_agreement":null},{"id":"W2999869395","doi":"10.3390/en13020391","title":"Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":246,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"United Arab Emirates University","keywords":"Computer science; Hyperparameter; Artificial intelligence; Machine learning; Smart grid; Metaheuristic; Energy consumption; Domain knowledge; Mathematical optimization; Engineering","score_opus":0.03967173078159233,"score_gpt":0.23798460567370353,"score_spread":0.1983128748921112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999869395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05075171,0.002501598,0.9389775,0.00091721374,0.00018828045,0.00006813462,0.00015984915,0.0008978272,0.0055378247],"genre_scores_gemma":[0.7581307,0.0009297726,0.2353645,0.00052875845,0.000117738105,0.0002763556,0.0003513541,0.00014247671,0.0041583134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974376,0.000098313416,0.000019982974,0.000050255785,0.000042335236,0.00004534723],"domain_scores_gemma":[0.99898773,0.00073622767,0.00010769743,0.000037005182,0.00009485205,0.00003652011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996199,0.0011921092,0.0009768659,0.0008364736,0.00032369653,0.0008605762,0.0011874173,0.0021661671,0.0016958686],"category_scores_gemma":[0.003282696,0.00054613146,0.00088255253,0.0010890705,0.00080777565,0.0011537662,0.000797722,0.0016581528,0.00028844277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018119339,0.00002320387,0.00013967778,0.000028546337,0.000021534881,0.000023678298,0.000011443232,0.98537076,0.00028549592,0.0028498236,0.0003731505,0.010854573],"study_design_scores_gemma":[0.0000020896532,0.0000041418007,0.000011121707,0.0000028901914,0.0000017235421,0.0000016434176,0.000001735171,0.99844176,0.00006503287,0.0014075482,0.000059248356,0.000001119233],"about_ca_topic_score_codex":0.008794682,"about_ca_topic_score_gemma":0.009822706,"teacher_disagreement_score":0.008794682,"about_ca_system_score_codex":0.0013167822,"about_ca_system_score_gemma":0.0011611268,"threshold_uncertainty_score":0.01748699},"labels":[],"label_agreement":null},{"id":"W3000089275","doi":"10.3390/en13020424","title":"Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"Ministry of Trade, Industry and Energy","keywords":"Production (economics); Shale gas; Oil shale; Petroleum engineering; Hydraulic fracturing; Natural gas field; Environmental science; Reservoir simulation; Term (time); Natural gas; Geology; Engineering; Economics; Waste management","score_opus":0.051398838454052256,"score_gpt":0.23476301841176894,"score_spread":0.1833641799577167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000089275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8281012,0.0004805251,0.16686012,0.00027465587,0.00003722679,0.00009022705,0.000687991,0.00071939087,0.0027486999],"genre_scores_gemma":[0.98406917,0.00015922339,0.014436378,0.000017538536,0.000007792985,0.00007810371,0.00046727675,0.00002254657,0.00074196176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.00003730256,0.000012260825,0.000050853258,0.00003608172,0.000026569443],"domain_scores_gemma":[0.9995123,0.00023549354,0.00006420701,0.00001877888,0.00014060528,0.000028569886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063423277,0.0007401772,0.0005375174,0.00043450293,0.0003124415,0.0007556727,0.0010815206,0.0007793078,0.00044201725],"category_scores_gemma":[0.0013592733,0.000598913,0.0005096243,0.00037732127,0.00022935445,0.0008739025,0.000479398,0.00081186014,0.00014059817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015941381,0.00003167983,0.0029956729,0.000010774594,0.000012750587,0.00003093375,0.000010306281,0.99252325,0.00048762743,0.00021134404,0.00006823814,0.0036015762],"study_design_scores_gemma":[0.0000010987925,0.00000356497,0.0003205236,0.0000012134857,0.0000016729073,0.0000012138377,0.000002881857,0.99946004,0.00013172353,0.000047887796,0.0000263151,0.000001919696],"about_ca_topic_score_codex":0.053165365,"about_ca_topic_score_gemma":0.03969693,"teacher_disagreement_score":0.053165365,"about_ca_system_score_codex":0.000992035,"about_ca_system_score_gemma":0.001888105,"threshold_uncertainty_score":0.10571182},"labels":[],"label_agreement":null},{"id":"W3000424131","doi":"10.3390/en13020494","title":"Internet of Things (IoT) and the Energy Sector","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":757,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"International Institute for Applied Systems Analysis","keywords":"Renewable energy; Cloud computing; Efficient energy use; Context (archaeology); Internet of Things; Environmental economics; Computer science; Energy engineering; Energy security; Smart grid; Key (lock); Energy supply; Energy (signal processing); Computer security; Engineering; Economics","score_opus":0.010598493786982962,"score_gpt":0.19074862767828185,"score_spread":0.18015013389129889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000424131","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022490567,0.39898467,0.034128662,0.0810037,0.0049824095,0.000100334764,0.00041484693,0.0002322634,0.45766252],"genre_scores_gemma":[0.31599703,0.61806583,0.012156903,0.010606769,0.003942458,0.00012764808,0.0004804248,0.000060522398,0.038562436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991904,0.00027997044,0.00003991978,0.00007601807,0.00031638306,0.000097379125],"domain_scores_gemma":[0.9992551,0.00043214788,0.00009278839,0.00005628426,0.00010217036,0.000061401304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000757565,0.00032253732,0.00021225054,0.0011099735,0.00074981904,0.0025590847,0.00035701267,0.0019892969,0.004296823],"category_scores_gemma":[0.0013785319,0.00015058463,0.00018304567,0.0034509497,0.0012322284,0.0044207554,0.0012819659,0.0014892657,0.0010308926],"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":[0.000033701235,0.000033521766,0.0015136038,0.0006794039,0.000013555325,0.0003417924,0.00034558593,0.0035281163,0.0006866177,0.75249904,0.03931417,0.20101091],"study_design_scores_gemma":[0.000003637355,0.000029041299,0.0011227053,0.00091871497,0.000007470296,0.00037740002,0.00085689203,0.0020648402,0.00037837552,0.27939844,0.71482396,0.000018432806],"about_ca_topic_score_codex":0.00105648,"about_ca_topic_score_gemma":0.0010798604,"teacher_disagreement_score":0.004296823,"about_ca_system_score_codex":0.0009047959,"about_ca_system_score_gemma":0.0013430978,"threshold_uncertainty_score":0.014374256},"labels":[],"label_agreement":null},{"id":"W3000462748","doi":"10.3390/en13020456","title":"Life Cycle Assessment of Electricity Generation from an Array of Subsea Tidal Kite Prototypes","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Life-cycle assessment; Renewable energy; Tidal power; Environmental science; Electricity generation; Wind power; Environmental impact assessment; Engineering; Marine engineering; Production (economics); Power (physics)","score_opus":0.014467951310572899,"score_gpt":0.2304748769891742,"score_spread":0.2160069256786013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000462748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99237484,0.00010299666,0.0046955384,0.000018721521,0.000004648574,0.00007003194,0.0005887281,0.000060992195,0.0020836466],"genre_scores_gemma":[0.9959805,0.000057919427,0.0026422658,0.0000057208595,8.5040534e-7,0.000039499126,0.00050868,0.0000090236645,0.00075545826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99981683,0.0000529626,0.000011485917,0.000031312968,0.000063493506,0.00002400274],"domain_scores_gemma":[0.9994797,0.00021150307,0.00004387248,0.000058791065,0.00018283425,0.000023230961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051487464,0.0003973097,0.00020562357,0.0008300807,0.00024292181,0.00038214668,0.00035443128,0.00031269868,0.0016558912],"category_scores_gemma":[0.0008040584,0.00013991409,0.00037607516,0.0005931256,0.00016268474,0.00046177374,0.00025500302,0.00020695497,0.0002678148],"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":[0.0016587119,0.00045068774,0.08416549,0.00044720198,0.00021186922,0.0007804713,0.0002400171,0.5920003,0.18099217,0.0008246758,0.0010295862,0.13719875],"study_design_scores_gemma":[0.00011391099,0.0081443265,0.14545318,0.000043002532,0.0002385948,0.0006622481,0.00055315776,0.58049864,0.25628695,0.00138112,0.006523528,0.00010134768],"about_ca_topic_score_codex":0.0021060149,"about_ca_topic_score_gemma":0.00391574,"teacher_disagreement_score":0.0021060149,"about_ca_system_score_codex":0.00066086336,"about_ca_system_score_gemma":0.00017610153,"threshold_uncertainty_score":0.005539477},"labels":[],"label_agreement":null},{"id":"W3003070875","doi":"10.3390/en13030534","title":"Experimental Investigation of the Spatial and Temporal Evolution of the Tangential and Normal E-Field Components along the Stress Grading System of a Real Stator Bar","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"","keywords":"Waveform; Amplitude; Stator; Voltage; Harmonics; Bar (unit); Geometry; Acoustics; Physics; Mechanics; Optics; Mathematics","score_opus":0.014544381144787217,"score_gpt":0.21224165216182755,"score_spread":0.19769727101704035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003070875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924475,0.0001124944,0.0067014545,0.000017462693,0.000017312623,0.000019207293,0.00008197398,0.00006390584,0.00053869525],"genre_scores_gemma":[0.9958007,0.00009949395,0.0034434185,0.000011672753,0.000012372489,0.00001568769,0.0000661234,0.00001612214,0.00053455326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997799,0.00002790867,0.00001206164,0.000062253814,0.000076337696,0.000041577056],"domain_scores_gemma":[0.99936265,0.00020571712,0.00010241267,0.00007664029,0.00019006137,0.00006249641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002954891,0.00036666662,0.00027971077,0.00031536384,0.00025140579,0.00020923112,0.00028023796,0.00047900176,0.0013603728],"category_scores_gemma":[0.0005771368,0.00016535436,0.00012844923,0.00025917627,0.00059147325,0.0002671008,0.00027987402,0.00036216687,0.00017275693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016712409,0.00004536157,0.0008283159,0.000063806714,0.000004933759,0.000052368927,0.0001221154,0.00022208547,0.9948489,0.00004412952,0.000026587944,0.0035742354],"study_design_scores_gemma":[0.000032463748,0.002027409,0.029499542,0.000013448069,0.0000288876,0.00025499696,0.00021676447,0.003048681,0.963679,0.00010370492,0.0010723626,0.000022819371],"about_ca_topic_score_codex":0.00024486653,"about_ca_topic_score_gemma":0.00041485144,"teacher_disagreement_score":0.0013603728,"about_ca_system_score_codex":0.00014144978,"about_ca_system_score_gemma":0.00008699838,"threshold_uncertainty_score":0.004550934},"labels":[],"label_agreement":null},{"id":"W3004395199","doi":"10.3390/en13030595","title":"Influence of Aging on Oil Degradation and Gassing Tendency for Mineral oil and Synthetic Ester under Low Energy Discharge Electrical Faults","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Mineral oil; Chemistry; Degradation (telecommunications); Dissolved gas analysis; Partial discharge; Fault (geology); Electric discharge; Turbidity; Chemical engineering; Analytical Chemistry (journal); Environmental chemistry; Organic chemistry; Transformer oil; Voltage; Geology; Electrode","score_opus":0.008142714459575762,"score_gpt":0.20650205354218654,"score_spread":0.19835933908261077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004395199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875677,0.00030157078,0.00062690035,0.00000986105,0.0000047545195,0.000003629622,0.00007385271,0.000010320572,0.00021225661],"genre_scores_gemma":[0.9990965,0.00017431795,0.0003848483,0.00000798118,0.0000021449325,0.0000032705227,0.00008438885,0.00000566565,0.0002408728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998648,0.000020005818,0.000012360257,0.000029396273,0.000045802684,0.000027572034],"domain_scores_gemma":[0.9997558,0.00008130057,0.00007539768,0.000019993357,0.00004753345,0.000019941714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014508453,0.00019424019,0.00015643188,0.00016885839,0.0000922951,0.00019993015,0.000099689045,0.00017953996,0.0008089885],"category_scores_gemma":[0.00041697954,0.0000566719,0.00014698287,0.00015705812,0.00019981903,0.0002237933,0.00014265871,0.00021443807,0.000089240006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035071463,0.000016544433,0.0026158816,0.000056048895,0.000007024614,0.000104702245,0.00005753971,0.00020585081,0.99303645,0.000025486162,0.000015398255,0.0035083103],"study_design_scores_gemma":[0.0000023304892,0.00028360766,0.008626677,0.0000025931824,0.000008294346,0.00008213988,0.00006291784,0.00050270447,0.990103,0.000013097375,0.0003094622,0.000003261345],"about_ca_topic_score_codex":0.00044203323,"about_ca_topic_score_gemma":0.0005791578,"teacher_disagreement_score":0.0008089885,"about_ca_system_score_codex":0.0001476732,"about_ca_system_score_gemma":0.00007811252,"threshold_uncertainty_score":0.002706349},"labels":[],"label_agreement":null},{"id":"W3005015058","doi":"10.3390/en13030747","title":"A Novel Control Scheme for Multi-Terminal Low-Frequency AC Electrical Energy Transmission Systems Using Modular Multilevel Matrix Converters and Virtual Synchronous Generator Concept","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modular design; Converters; Transmission system; Automatic frequency control; Electric power system; Frequency deviation; Electronic engineering; Computer science; Engineering; Control theory (sociology); Transmission (telecommunications); Power (physics); Electrical engineering; Voltage; Control (management)","score_opus":0.018749418948393395,"score_gpt":0.23660234854211742,"score_spread":0.21785292959372404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005015058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019677876,0.00034134596,0.9734765,0.00007952453,0.0001513938,0.00006612562,0.000030359404,0.00046582616,0.005710947],"genre_scores_gemma":[0.8920762,0.00033403136,0.103192456,0.00007543053,0.00013262163,0.00013770307,0.00005973103,0.000028987359,0.003962809],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985456,0.00002495765,0.000011541781,0.00004059922,0.00005599343,0.000012301075],"domain_scores_gemma":[0.999907,0.000014018746,0.000025393021,0.000012702814,0.00003133067,0.000009531532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001849596,0.00036469332,0.0002530753,0.00028493628,0.00030115133,0.0005027187,0.0007453227,0.00030199953,0.0016965921],"category_scores_gemma":[0.00019016076,0.000091451606,0.00026957475,0.00022336484,0.00024454203,0.0005235346,0.0003304358,0.00040553842,0.00026568054],"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":[0.00030860087,0.00015483036,0.001050205,0.00071721646,0.00012564915,0.0006571707,0.00055324973,0.13924403,0.26650786,0.13522352,0.0049224393,0.45053527],"study_design_scores_gemma":[0.000120527264,0.0007881409,0.0009665879,0.000054034106,0.00007841355,0.00052657945,0.00005484484,0.9180826,0.03521229,0.012076319,0.0319944,0.000045246066],"about_ca_topic_score_codex":0.00038889417,"about_ca_topic_score_gemma":0.0007315337,"teacher_disagreement_score":0.0016965921,"about_ca_system_score_codex":0.0002342555,"about_ca_system_score_gemma":0.00019352383,"threshold_uncertainty_score":0.0056756735},"labels":[],"label_agreement":null},{"id":"W3005942841","doi":"10.3390/en13040888","title":"A New Method of Lithology Classification Based on Convolutional Neural Network Algorithm by Utilizing Drilling String Vibration Data","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China University of Petroleum, Beijing","keywords":"Convolutional neural network; Computer science; Algorithm; Drill string; Vibration; Lithology; Well logging; Geology; String (physics); Pattern recognition (psychology); Artificial intelligence; Drilling; Geophysics; Engineering; Acoustics; Petrology; Mathematics","score_opus":0.041986208120354314,"score_gpt":0.2643785636278589,"score_spread":0.22239235550750458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005942841","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":[0.025973765,0.0004331199,0.9685725,0.00013554521,0.00015036046,0.00010285306,0.00021043484,0.0021645497,0.0022567785],"genre_scores_gemma":[0.5006525,0.0009255902,0.48123544,0.0002381268,0.00011838102,0.00025735467,0.0014407195,0.00019498334,0.0149367945],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965084,0.000020149859,0.000026334887,0.00011809908,0.00013304234,0.000051576895],"domain_scores_gemma":[0.99977,0.000025973475,0.000027662914,0.000030813626,0.00012957862,0.000016084688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040483425,0.00093249336,0.00068950676,0.0015782958,0.00036900415,0.000731655,0.0012618017,0.0006944428,0.0017510251],"category_scores_gemma":[0.00063078216,0.0003667014,0.00073248416,0.0010403492,0.00032384408,0.0011641685,0.0005884781,0.0007491808,0.0007021309],"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":[0.00015506997,0.00011771388,0.005727361,0.0001354593,0.00015880079,0.00014694167,0.000069853064,0.09931304,0.02829008,0.0034817467,0.0048696403,0.8575343],"study_design_scores_gemma":[0.000010636143,0.000039754013,0.0019844787,0.000011094447,0.000032480675,0.00007690342,0.0000152246785,0.98397684,0.0103979455,0.0009235054,0.0025125744,0.000018595496],"about_ca_topic_score_codex":0.012396352,"about_ca_topic_score_gemma":0.013798842,"teacher_disagreement_score":0.012396352,"about_ca_system_score_codex":0.0007718914,"about_ca_system_score_gemma":0.0010568791,"threshold_uncertainty_score":0.024648428},"labels":[],"label_agreement":null},{"id":"W3007459011","doi":"10.3390/en13040991","title":"Simulation-Based Methodology for Determining the Dynamic Strength of Tire Inflation Restraining Devices","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":6,"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":"Independent Electricity System Operator; Narodowe Centrum Badań i Rozwoju; Politechnika Wrocławska; Ministerstwo Edukacji i Nauki; Uniwersytet Szczeciński","keywords":"Structural engineering; Deformation (meteorology); Displacement (psychology); Shield; Engineering; Materials science; Composite material","score_opus":0.0623888916986722,"score_gpt":0.31467227250636676,"score_spread":0.2522833808076946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007459011","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":[0.015213357,0.00014037198,0.97972655,0.000047153888,0.000029632965,0.00014238182,0.00010679772,0.0003672084,0.004226521],"genre_scores_gemma":[0.5469374,0.0006281078,0.4467333,0.000058331658,0.000040235005,0.001203708,0.00047561148,0.0002251011,0.0036981716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960786,0.00013416882,0.000023482853,0.00004762233,0.00014126509,0.000045654386],"domain_scores_gemma":[0.9991879,0.00044917138,0.00009746184,0.00006689345,0.00016420678,0.000034349043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008377774,0.00088241126,0.00083247124,0.0010318407,0.00049308396,0.000817872,0.0013670666,0.0011384608,0.0024480764],"category_scores_gemma":[0.0017784178,0.00053335493,0.0009987106,0.0006421987,0.00062920153,0.0005674022,0.0008771924,0.00076404185,0.00035088506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001219339,0.000019984716,0.00045714315,0.000044712895,0.000016514783,0.00003170295,0.00002646399,0.9885445,0.001658452,0.0045388704,0.000100207115,0.004549214],"study_design_scores_gemma":[0.0000029659966,0.0000093117515,0.00005851656,0.0000059955764,0.0000033950462,0.0000069511707,0.000005579327,0.9982724,0.00037164774,0.0008375475,0.0004221049,0.000003566039],"about_ca_topic_score_codex":0.0055455947,"about_ca_topic_score_gemma":0.0030666061,"teacher_disagreement_score":0.0055455947,"about_ca_system_score_codex":0.00077230344,"about_ca_system_score_gemma":0.001311779,"threshold_uncertainty_score":0.011026621},"labels":[],"label_agreement":null},{"id":"W3008261696","doi":"10.3390/en13040956","title":"Energy Harvesting by a Novel Substitution for Expansion Valves: Special Focus on City Gate Stations of High-Pressure Natural Gas Pipelines","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":16,"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":"Fundação para a Ciência e a Tecnologia","keywords":"Bandwidth throttling; Natural gas; Pipeline transport; Mechanical engineering; Renewable energy; Engineering; Petroleum engineering; Electrical engineering; Environmental science; Gas compressor; Waste management","score_opus":0.02255642958032376,"score_gpt":0.23740649536631625,"score_spread":0.2148500657859925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008261696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96607244,0.0014924348,0.026047759,0.0002996878,0.00013202475,0.00004402792,0.00007760995,0.00012670388,0.005707311],"genre_scores_gemma":[0.99254614,0.0004962995,0.0054044495,0.000024680563,0.000014312473,0.000014118086,0.000032063293,0.0000082536635,0.0014597045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999423,0.000005526132,0.0000027908452,0.000015302528,0.000021508398,0.000012662478],"domain_scores_gemma":[0.9999695,0.000006181309,0.0000081039725,0.0000039963993,0.0000065228387,0.000005660939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007217783,0.00015888675,0.00018842015,0.00014109294,0.00019786776,0.00030959025,0.0002425446,0.00022734511,0.0007494164],"category_scores_gemma":[0.000092389935,0.00008010489,0.00026656198,0.00020770796,0.0002228681,0.00045047377,0.00020032973,0.00019907282,0.00014897904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018489739,0.000076793855,0.0019825504,0.00030735385,0.000016346145,0.00076363666,0.000101759775,0.010240963,0.9614158,0.004330887,0.0008281833,0.019750826],"study_design_scores_gemma":[0.00006145462,0.0013929687,0.006864807,0.000032541553,0.000054475327,0.0007697371,0.000304746,0.19029328,0.76660365,0.0010267552,0.03252319,0.00007242492],"about_ca_topic_score_codex":0.00047348993,"about_ca_topic_score_gemma":0.00075465156,"teacher_disagreement_score":0.0007494164,"about_ca_system_score_codex":0.00017080648,"about_ca_system_score_gemma":0.00014174251,"threshold_uncertainty_score":0.002507031},"labels":[],"label_agreement":null},{"id":"W3008667947","doi":"10.3390/en13041003","title":"Biocomposite Fabrication from Enzymatically Treated Nanocellulosic Fibers and Recycled Polylactic Acid","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Natural Fiber Reinforced Composites","field":"Materials 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":false,"ca_institutions":"Université Laval; Ozymes (Canada); York University; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biocomposite; Polylactic acid; Materials science; Ultimate tensile strength; Thermal stability; Composite material; Fourier transform infrared spectroscopy; Scanning electron microscope; Fabrication; Nuclear chemistry; Composite number; Chemical engineering; Chemistry; Polymer","score_opus":0.011462143023099553,"score_gpt":0.21042486254616352,"score_spread":0.19896271952306396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008667947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98979706,0.00082965853,0.0077359458,0.000019423715,0.00002656695,0.00003261698,0.00016382597,0.00007796481,0.001317026],"genre_scores_gemma":[0.979359,0.0006542643,0.016960457,0.000025884578,0.0000067813066,0.00006784221,0.0003017699,0.000040648047,0.0025833608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983215,0.000013233569,0.000016351705,0.000051265895,0.000058046513,0.000028923],"domain_scores_gemma":[0.99988365,0.000013249101,0.000045323268,0.000018512645,0.000023475759,0.00001583724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022590689,0.00047587315,0.00026062268,0.00030200183,0.00013313953,0.0002622418,0.00019294603,0.00028042827,0.00059372257],"category_scores_gemma":[0.00013316885,0.00018098995,0.00035042307,0.00020656029,0.00016230761,0.00023482037,0.00014191764,0.00036767684,0.00021966833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011197535,0.000005925126,0.00003337621,0.000010245982,0.000001627785,0.000019517303,0.0000036671508,0.000030669675,0.9994105,0.000013105435,0.0000033296144,0.00045679318],"study_design_scores_gemma":[9.4937974e-7,0.00004727921,0.00055964285,0.0000018463626,0.0000043196196,0.000034426615,0.0000046556447,0.00016227443,0.9988262,0.0000043654227,0.00035202864,0.000001946632],"about_ca_topic_score_codex":0.0006860907,"about_ca_topic_score_gemma":0.0020441057,"teacher_disagreement_score":0.0006860907,"about_ca_system_score_codex":0.000269959,"about_ca_system_score_gemma":0.00018778203,"threshold_uncertainty_score":0.0019862056},"labels":[],"label_agreement":null},{"id":"W3009146385","doi":"10.3390/en13051083","title":"A Review and Evaluation of Predictive Models for Thermal Conductivity of Sands at Full Water Content Range","year":2020,"lang":"en","type":"review","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Thermal conductivity; Range (aeronautics); Geothermal gradient; Soil science; Predictive modelling; Saturation (graph theory); Thermal; Environmental science; Mineralogy; Geology; Statistics; Materials science; Mathematics; Thermodynamics; Physics; Composite material; Geophysics","score_opus":0.16506113317187876,"score_gpt":0.3316743000246179,"score_spread":0.16661316685273914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009146385","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":[0.0036985283,0.9681842,0.023086965,0.00059363036,0.00027736143,0.000042035645,0.0009467821,0.00023752371,0.002933102],"genre_scores_gemma":[0.026674094,0.95900846,0.011108512,0.00024717738,0.00029503411,0.00009453836,0.0014037488,0.000068257,0.0011002033],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9994598,0.00012782124,0.00007400033,0.00016246643,0.0001510481,0.000024829877],"domain_scores_gemma":[0.99681854,0.0024658402,0.00018846136,0.0000995757,0.00039734712,0.000030156778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017445758,0.0018482966,0.0017380294,0.0028904467,0.000274585,0.0013218403,0.0018083183,0.0010537399,0.0020993352],"category_scores_gemma":[0.0051079104,0.0007747059,0.0024595242,0.0036306097,0.0003380144,0.0016902585,0.00047875842,0.0009817063,0.0011499192],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010660938,0.000120741715,0.004301891,0.03911657,0.0009653669,0.00016854925,0.00015083577,0.07041311,0.0017889709,0.008989468,0.021909121,0.85196877],"study_design_scores_gemma":[0.000047258913,0.00057893136,0.013777809,0.025522985,0.0038668835,0.0010092806,0.00033938527,0.14889857,0.007324426,0.019869478,0.7783643,0.0004006033],"about_ca_topic_score_codex":0.0067226104,"about_ca_topic_score_gemma":0.005293826,"teacher_disagreement_score":0.0067226104,"about_ca_system_score_codex":0.0007703181,"about_ca_system_score_gemma":0.0013703946,"threshold_uncertainty_score":0.013366938},"labels":[],"label_agreement":null},{"id":"W3009175844","doi":"10.3390/en13051067","title":"Optimal Inertia Reserve and Inertia Control Strategy for Wind Farms","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Inertia; Wind power; Turbine; Control theory (sociology); Grid; Engineering; Computer science; Automotive engineering; Control (management); Electrical engineering; Mathematics; Mechanical engineering; Physics","score_opus":0.017860504625597316,"score_gpt":0.2098420503267809,"score_spread":0.1919815457011836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009175844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14409944,0.00032727484,0.8450196,0.0001447612,0.000082318365,0.00009452376,0.00003149733,0.00042070643,0.009779902],"genre_scores_gemma":[0.9893751,0.000050609924,0.009475685,0.000020589798,0.000016586073,0.00004109981,0.0000138697915,0.000008366864,0.0009980856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983287,0.000028612267,0.000014019791,0.000040630526,0.000043200558,0.00004067488],"domain_scores_gemma":[0.999863,0.00002719676,0.00004721473,0.000009008502,0.000034525612,0.00001897865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024870387,0.0005915178,0.00049513014,0.00038668702,0.00037408667,0.00059274497,0.0004993306,0.00037379886,0.0009790224],"category_scores_gemma":[0.00034228727,0.00018055817,0.00022263256,0.00020824555,0.0003876976,0.00034547446,0.00038328356,0.00026978325,0.00015612402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052859104,0.0002411774,0.0009905742,0.00020777213,0.000058533555,0.00053689466,0.00032665144,0.8132426,0.05923401,0.019548016,0.002325142,0.10276002],"study_design_scores_gemma":[0.000035959303,0.0001616957,0.00037881426,0.000006316802,0.000009280006,0.000019052182,0.000017258746,0.9964265,0.0012194804,0.0012649922,0.00045299297,0.0000077554005],"about_ca_topic_score_codex":0.0023291048,"about_ca_topic_score_gemma":0.0022125314,"teacher_disagreement_score":0.0023291048,"about_ca_system_score_codex":0.00026800894,"about_ca_system_score_gemma":0.00030574104,"threshold_uncertainty_score":0.004631102},"labels":[],"label_agreement":null},{"id":"W3009355441","doi":"10.3390/en13051158","title":"Machine Learning for Benchmarking Models of Heating Energy Demand of Houses in Northern Canada","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; Aurora Research Institute","keywords":"Benchmarking; Retraining; Automation; Computer science; Energy (signal processing); Industrial engineering; Energy management; Engineering; Machine learning; Reliability engineering; Simulation; Mechanical engineering; Business","score_opus":0.009286693614840804,"score_gpt":0.16858549215086585,"score_spread":0.15929879853602505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009355441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9237795,0.00044320396,0.06828357,0.0003593552,0.00003170565,0.00008311425,0.0014223629,0.00071210845,0.00488508],"genre_scores_gemma":[0.990099,0.00007113041,0.007710059,0.000017529897,0.0000030835645,0.000024171448,0.0008535116,0.000023476483,0.0011979769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995976,0.00011073349,0.000020557785,0.000086517844,0.00010351365,0.000081001446],"domain_scores_gemma":[0.9993771,0.00026063208,0.000051473646,0.000049915,0.00022753599,0.000033415414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010743574,0.0006405599,0.0004964207,0.00040746687,0.00065900356,0.00083968154,0.0014115114,0.0005205004,0.0007931118],"category_scores_gemma":[0.0030018387,0.00030829984,0.00045899823,0.0009768184,0.00042703672,0.00044885182,0.00040848664,0.0008085238,0.0001641097],"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":[0.000045080546,0.0000261517,0.0062086596,0.000018758237,0.000018428467,0.000022656379,0.000031944495,0.98338854,0.0003095486,0.00046652267,0.00041720193,0.009046526],"study_design_scores_gemma":[0.0000025094614,0.0000063084726,0.003052719,0.000002000778,0.0000022173308,0.0000026900545,0.000023145609,0.99632436,0.00022252092,0.00016660406,0.00018983336,0.0000051117395],"about_ca_topic_score_codex":0.8962273,"about_ca_topic_score_gemma":0.85115135,"teacher_disagreement_score":0.1037727,"about_ca_system_score_codex":0.008506833,"about_ca_system_score_gemma":0.004913011,"threshold_uncertainty_score":0.20876765},"labels":[],"label_agreement":null},{"id":"W3009458659","doi":"10.3390/en13051194","title":"Impacts of a LVRT Control Strategy of Offshore Wind Farms on the HTS Power Cable","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Korea Electric Power Corporation; Incheon National University","keywords":"Offshore wind power; Low voltage ride through; Transient (computer programming); Turbine; Controller (irrigation); Fault (geology); Marine engineering; Power cable; Automotive engineering; Wind power; Overvoltage; Permanent magnet synchronous generator; Electrical engineering; Grid; Environmental science; Engineering; AC power; Voltage; Computer science; Mechanical engineering; Materials science; Geology","score_opus":0.011546286305567834,"score_gpt":0.20072406174161944,"score_spread":0.1891777754360516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009458659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9465819,0.00022171339,0.045703325,0.00009403374,0.000039665098,0.00005073572,0.000041295552,0.00023870818,0.0070285713],"genre_scores_gemma":[0.99919444,0.00002834408,0.00055918883,0.0000065369372,0.000002132458,0.000004081962,0.0000063979014,0.0000022945057,0.00019665499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987173,0.000031378986,0.000009747698,0.000023826502,0.000039955,0.000023296436],"domain_scores_gemma":[0.9996222,0.000119247125,0.00010257779,0.000025916022,0.0001070909,0.000022851818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712218,0.0003458661,0.00018512688,0.00016795915,0.00019181243,0.000333465,0.00022198881,0.00024058415,0.0010873419],"category_scores_gemma":[0.0005574511,0.00007561758,0.00014438923,0.00009246089,0.0001839934,0.00024679388,0.00015687791,0.00022148754,0.00010036101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018822153,0.00045266596,0.0076766997,0.00054751884,0.00014450541,0.0014638186,0.00029758588,0.60544074,0.26878178,0.0027757238,0.0013452612,0.1091915],"study_design_scores_gemma":[0.00014783011,0.0034430178,0.018166803,0.000041615087,0.00019507567,0.00029126374,0.00035654218,0.90713525,0.06777734,0.0007484207,0.0016716581,0.000025169436],"about_ca_topic_score_codex":0.0023539392,"about_ca_topic_score_gemma":0.00213143,"teacher_disagreement_score":0.0023539392,"about_ca_system_score_codex":0.00022441937,"about_ca_system_score_gemma":0.00017709433,"threshold_uncertainty_score":0.0046805143},"labels":[],"label_agreement":null},{"id":"W3009624820","doi":"10.3390/en13051245","title":"Wave-Turbulence Decomposition Methods Applied to Tidal Energy Site Assessment","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":20,"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":"Australian Renewable Energy Agency; Dalhousie University","keywords":"Turbulence; Turbulence kinetic energy; Tidal power; Kinetic energy; Geology; Filter (signal processing); Meteorology; Environmental science; Mechanics; Physics; Marine engineering; Computer science; Engineering; Classical mechanics","score_opus":0.019894433938613874,"score_gpt":0.3043321792035348,"score_spread":0.2844377452649209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009624820","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":[0.12041143,0.0005859645,0.8749255,0.000086809836,0.00007658808,0.0002679956,0.0006987894,0.0006142097,0.0023326727],"genre_scores_gemma":[0.37390214,0.00068436615,0.62305427,0.000034255743,0.000023747774,0.00029030995,0.0007795611,0.00015073146,0.001080567],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992568,0.00022096865,0.00007908465,0.00011731908,0.00027669434,0.000049099814],"domain_scores_gemma":[0.99844056,0.0005460314,0.00027569663,0.0001341661,0.00055014784,0.00005350166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020537446,0.0006044742,0.00039885307,0.0020060102,0.00031820548,0.0010573036,0.00037137343,0.00031371514,0.0015307071],"category_scores_gemma":[0.0045253914,0.00021864864,0.00048012487,0.0024632988,0.00027292894,0.00065896363,0.00068370136,0.00061101204,0.000581311],"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":[0.00017210541,0.00014147152,0.050515898,0.00048838335,0.00015465567,0.00020241103,0.0006502866,0.046214446,0.04667026,0.004614892,0.00192979,0.84824544],"study_design_scores_gemma":[0.00004247784,0.0003646711,0.25338924,0.0002761626,0.000117473144,0.0004434824,0.0012534795,0.68407035,0.034210958,0.008273636,0.017400997,0.0001570794],"about_ca_topic_score_codex":0.0059576225,"about_ca_topic_score_gemma":0.01024971,"teacher_disagreement_score":0.0059576225,"about_ca_system_score_codex":0.00035154115,"about_ca_system_score_gemma":0.00091957214,"threshold_uncertainty_score":0.011845887},"labels":[],"label_agreement":null},{"id":"W3009715914","doi":"10.3390/en13051258","title":"The Nexus Between Electricity Consumption, Economic Growth, and CO2 Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Social Science Fund of China; China University of Geosciences","keywords":"Cointegration; Economics; Nexus (standard); Econometrics; Consumption (sociology); Distributed lag; Granger causality; Short run; Macroeconomics","score_opus":0.043635116072076194,"score_gpt":0.23983483974689776,"score_spread":0.19619972367482158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009715914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95965356,0.0002667807,0.034243416,0.0004209167,0.000019961857,0.00003445881,0.0009134987,0.000047909027,0.004399611],"genre_scores_gemma":[0.9968641,0.00009349882,0.0017577027,0.000013429188,0.00001227382,0.000017657992,0.0004800906,0.000007460332,0.0007539413],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987388,0.0005699551,0.000091975824,0.0001960776,0.00025196126,0.00015115361],"domain_scores_gemma":[0.99415106,0.0037235888,0.001206921,0.00038724794,0.0004157441,0.00011543047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026385428,0.00033902112,0.0004992069,0.002190928,0.00036244665,0.0011308823,0.0004308063,0.0003999984,0.002770814],"category_scores_gemma":[0.008051626,0.00017123634,0.0009901535,0.0022061246,0.00061916147,0.0014446548,0.0011627671,0.0010762623,0.00026019115],"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":[0.00031080688,0.0001971895,0.74551,0.00013128815,0.0007360378,0.0013877978,0.00057520345,0.1477887,0.0016472588,0.050451797,0.0012121685,0.05005179],"study_design_scores_gemma":[0.000024827543,0.00012499209,0.25007224,0.000047994236,0.00022745662,0.00037385203,0.0010588483,0.71256673,0.0015409812,0.030878635,0.003029582,0.000053751402],"about_ca_topic_score_codex":0.010665374,"about_ca_topic_score_gemma":0.0065439534,"teacher_disagreement_score":0.010665374,"about_ca_system_score_codex":0.00078933366,"about_ca_system_score_gemma":0.001030866,"threshold_uncertainty_score":0.021206617},"labels":[],"label_agreement":null},{"id":"W3009919970","doi":"10.3390/en13051200","title":"Novel Simulation Algorithm for Modeling the Hysteresis of Phase Change Materials","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phase-change material; Hysteresis; Latent heat; Phase change; Thermal energy storage; Consistency (knowledge bases); Phase (matter); Computer science; Thermal; Transformation (genetics); Algorithm; Energy (signal processing); Simulation; Materials science; Thermodynamics; Mathematics; Chemistry; Physics; Artificial intelligence","score_opus":0.1954603264793698,"score_gpt":0.34759744904963363,"score_spread":0.15213712257026382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009919970","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":[0.0056291386,0.000082332204,0.991029,0.000053923402,0.000043946493,0.000044319353,0.000093539515,0.0010069257,0.0020167583],"genre_scores_gemma":[0.22087751,0.00040046335,0.7707134,0.00009593603,0.00005386021,0.00061101705,0.0006919011,0.0005249556,0.006030936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997876,0.00004759529,0.00001600171,0.0000426884,0.000082247876,0.00002384257],"domain_scores_gemma":[0.9996594,0.0001678986,0.000026269068,0.000034819284,0.000094773546,0.000016894091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042948252,0.00082088,0.0007308644,0.00045965763,0.00042867608,0.00077869085,0.0013945611,0.0013152362,0.004073129],"category_scores_gemma":[0.0011830081,0.00046020036,0.0008716896,0.00048396483,0.000364527,0.00090036256,0.00069130264,0.00085613923,0.0010303825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065064654,0.00004874675,0.00057249947,0.00008541153,0.000041120504,0.00006348044,0.00005988158,0.94290924,0.0063751703,0.0148995025,0.0012263778,0.033653487],"study_design_scores_gemma":[0.000006281213,0.0000057310885,0.000014927279,0.0000021664912,0.0000024206117,0.000008053239,0.0000014368729,0.9974843,0.0005403506,0.00081388874,0.0011184106,0.0000018281218],"about_ca_topic_score_codex":0.003514802,"about_ca_topic_score_gemma":0.0023508084,"teacher_disagreement_score":0.004073129,"about_ca_system_score_codex":0.0004891458,"about_ca_system_score_gemma":0.0009187948,"threshold_uncertainty_score":0.013626039},"labels":[],"label_agreement":null},{"id":"W3010333783","doi":"10.3390/en13051150","title":"Experimentally Measured Thermal Masses of Adsorption Heat Exchangers","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; UT-Battelle; Bundesministerium für Wirtschaft und Energie; Battelle; U.S. Department of Energy","keywords":"Thermal; Work (physics); Heat exchanger; Thermal mass; Adsorption; Heat transfer; Thermodynamics; Mass transfer; Nuclear engineering; Materials science; Mechanical engineering; Process engineering; Chemistry; Engineering; Physics; Organic chemistry","score_opus":0.023252782626871124,"score_gpt":0.2079064275168627,"score_spread":0.18465364488999159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010333783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959959,0.0010827773,0.027074805,0.00013200025,0.00015325796,0.0001373468,0.0017369185,0.0007955762,0.008928361],"genre_scores_gemma":[0.99076194,0.0003353299,0.00610434,0.00003608177,0.000029361025,0.00008754939,0.00051534205,0.00011257217,0.002017367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866617,0.00013946768,0.00007769975,0.00024275557,0.00070590584,0.00016797333],"domain_scores_gemma":[0.9987054,0.0005105924,0.00012948003,0.00018143363,0.00042482407,0.00004829008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012900223,0.0006629163,0.00041779602,0.0007365938,0.000676261,0.0008582597,0.0008221411,0.0006170803,0.00628247],"category_scores_gemma":[0.0038331118,0.00036166125,0.00031155453,0.00057405775,0.00084017817,0.0014259606,0.000579472,0.0008263379,0.0014446161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006781569,0.000105588224,0.005325535,0.0003621783,0.000027654462,0.000064719716,0.00032302758,0.0033113468,0.96879,0.001656324,0.0009752784,0.018380286],"study_design_scores_gemma":[0.000013688076,0.00025467642,0.006441187,0.000018926006,0.000025661644,0.000053676715,0.00008697365,0.004765104,0.98500896,0.00021063878,0.0031011351,0.000019238243],"about_ca_topic_score_codex":0.00044032035,"about_ca_topic_score_gemma":0.00087504904,"teacher_disagreement_score":0.00628247,"about_ca_system_score_codex":0.000522029,"about_ca_system_score_gemma":0.0003394527,"threshold_uncertainty_score":0.021016955},"labels":[],"label_agreement":null},{"id":"W3010809490","doi":"10.3390/en13061464","title":"Transparent Photonic Crystal Heat Mirrors for Solar Thermal Applications","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transmittance; Materials science; Optoelectronics; Cover (algebra); Optics; Radiation; Operating temperature; Photonic crystal; Thermal; Engineering physics; Mechanical engineering; Electrical engineering; Physics; Meteorology; Engineering","score_opus":0.03137732344158776,"score_gpt":0.23618614687776399,"score_spread":0.20480882343617623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010809490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.857197,0.00068426173,0.0888187,0.0003403964,0.00012611433,0.00011665916,0.0005208074,0.0002714213,0.051924616],"genre_scores_gemma":[0.96849996,0.0003208165,0.028234588,0.000032459124,0.000009835661,0.00008651045,0.00012357825,0.000044449534,0.002647852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999026,0.000011473611,0.0000022657932,0.000008086479,0.000052548938,0.000023021781],"domain_scores_gemma":[0.9997696,0.00010506451,0.00004221437,0.000025389896,0.000045948073,0.000011685741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002090668,0.00036011648,0.00033348028,0.0002549634,0.00040365444,0.00059007964,0.00046076707,0.0006366125,0.0025822548],"category_scores_gemma":[0.00086394575,0.00023651369,0.00045666075,0.00033124926,0.00034690564,0.0004714372,0.0002574032,0.00033236874,0.00025398296],"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":[0.00010045302,0.000056438257,0.0014277723,0.000292489,0.000039845007,0.00020008147,0.00006926484,0.9191342,0.04787012,0.021993369,0.00088817417,0.007927713],"study_design_scores_gemma":[0.000023189821,0.000041404524,0.0004797449,0.000012271423,0.000010353964,0.000025651076,0.000029324749,0.98956233,0.0072849765,0.001506363,0.0010138665,0.000010502212],"about_ca_topic_score_codex":0.0033148432,"about_ca_topic_score_gemma":0.004037301,"teacher_disagreement_score":0.0033148432,"about_ca_system_score_codex":0.00056253746,"about_ca_system_score_gemma":0.00092869677,"threshold_uncertainty_score":0.008638501},"labels":[],"label_agreement":null},{"id":"W3011159548","doi":"10.3390/en13061367","title":"Reviewing Municipal Energy System Planning in a Bibliometric Analysis: Evolution of the Research Field between 1991 and 2019","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":28,"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":"Karlsruhe Institute of Technology","keywords":"Renewable energy; Context (archaeology); Energy planning; China; Regional science; Environmental economics; Political science; Geography; Engineering; Economics","score_opus":0.04498089712350362,"score_gpt":0.28476091138642456,"score_spread":0.23978001426292095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011159548","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3263921,0.501011,0.007955904,0.016633749,0.0020887554,0.00062843756,0.04432172,0.0005584266,0.10040987],"genre_scores_gemma":[0.7035162,0.26016927,0.0069954745,0.0006965221,0.0017012259,0.00038437918,0.022255149,0.00010431757,0.0041776346],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98219323,0.004267154,0.003956685,0.001189689,0.0077322945,0.0006609286],"domain_scores_gemma":[0.91940904,0.040944867,0.015280067,0.0023005102,0.021027945,0.0010375477],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.014208561,0.0006896356,0.0015447909,0.13118519,0.0014691666,0.008013415,0.0008088104,0.00084152457,0.002747732],"category_scores_gemma":[0.07191578,0.0003364872,0.0011313602,0.29936984,0.0012007544,0.0043599037,0.0018773574,0.00054183905,0.0007632054],"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":[0.00025121737,0.00011802293,0.15967762,0.03733418,0.0013792858,0.0010100501,0.006629708,0.0041524046,0.001725903,0.015140273,0.052735183,0.7198461],"study_design_scores_gemma":[0.000029055736,0.000120530116,0.5711997,0.01889133,0.001462259,0.0011151994,0.011410276,0.0039251647,0.0028904038,0.004011872,0.38480914,0.00013498914],"about_ca_topic_score_codex":0.02042665,"about_ca_topic_score_gemma":0.020886395,"teacher_disagreement_score":0.8688148,"about_ca_system_score_codex":0.0065737683,"about_ca_system_score_gemma":0.011952282,"threshold_uncertainty_score":0.07514292},"labels":[],"label_agreement":null},{"id":"W3011584958","doi":"10.3390/en13051292","title":"An Extremely High Power Density Asymmetrical Back-to-Back Converter for Aerospace Motor Drive Applications","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Aerospace; Power density; Rectifier (neural networks); Automotive engineering; Voltage; Power (physics); Electrical engineering; Engineering; Heat sink; Topology (electrical circuits); Electronic engineering; Computer science; Aerospace engineering","score_opus":0.017634757544883948,"score_gpt":0.22054110838569413,"score_spread":0.20290635084081018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011584958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.142272,0.0011477313,0.81642383,0.0004391067,0.00021698026,0.00012892585,0.0002887812,0.001508332,0.037574306],"genre_scores_gemma":[0.8921985,0.0004942678,0.09757143,0.00014775354,0.000054676733,0.000050063256,0.0002266787,0.00007542052,0.009181271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987066,0.000011437019,0.0000065322906,0.000017568746,0.00008448871,0.000009208142],"domain_scores_gemma":[0.9999161,0.000007890634,0.000012894521,0.0000128891725,0.000043238153,0.000007000574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001079788,0.00019663472,0.00031719415,0.00032101944,0.0002278249,0.00042469005,0.000593582,0.0002643331,0.0028694212],"category_scores_gemma":[0.00016691438,0.00011490576,0.00019339638,0.00035199136,0.00011443556,0.00056697783,0.0002279633,0.00045151394,0.001140927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018858933,0.00017326226,0.0011876136,0.00060650334,0.00004601934,0.00038362655,0.00011266576,0.0066094133,0.71652234,0.012907514,0.0050076847,0.25625473],"study_design_scores_gemma":[0.00017435895,0.0013291027,0.010306706,0.00016754957,0.00015676548,0.0032860225,0.00015723788,0.24020962,0.6404248,0.008043369,0.09566836,0.00007608553],"about_ca_topic_score_codex":0.00022189699,"about_ca_topic_score_gemma":0.00055671623,"teacher_disagreement_score":0.0028694212,"about_ca_system_score_codex":0.00018176838,"about_ca_system_score_gemma":0.0001419623,"threshold_uncertainty_score":0.009599209},"labels":[],"label_agreement":null},{"id":"W3011936996","doi":"10.3390/en13051291","title":"Transient Natural Convection in a Thermally Insulated Annular Cylinder Exposed to a High Temperature from the Inner Radius","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural convection; Mechanics; Heat transfer; Convection; Thermal energy storage; Rayleigh number; Materials science; Thermodynamics; Cylinder; Convective heat transfer; Thermal; Mechanical engineering; Physics; Engineering","score_opus":0.012757936160176984,"score_gpt":0.19738609555464134,"score_spread":0.18462815939446436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011936996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98872185,0.00016718803,0.008404175,0.00008063941,0.0000206766,0.000016994067,0.00008195446,0.00007195065,0.0024346595],"genre_scores_gemma":[0.9974056,0.00005178973,0.0017137978,0.00000780823,0.0000022781048,0.000015937603,0.000040314964,0.000006013323,0.000756383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999037,0.000011458413,0.0000053589747,0.000018753582,0.000028069782,0.00003275243],"domain_scores_gemma":[0.9997309,0.00014767905,0.000036710477,0.000019811674,0.00004147261,0.00002338151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029641145,0.00024079597,0.00054345775,0.00022440395,0.000560761,0.0006279249,0.00036400833,0.0005510046,0.0008733394],"category_scores_gemma":[0.00061057776,0.00016742173,0.0003782095,0.00026904015,0.00074017927,0.00038533245,0.00035556502,0.0003111333,0.00009981822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005902511,0.0001323731,0.003548652,0.00018127334,0.000029458453,0.0006338766,0.00040927497,0.8113629,0.17395791,0.0036977557,0.0003186192,0.005137675],"study_design_scores_gemma":[0.000032872267,0.00018507738,0.0014224926,0.000008416115,0.000010299285,0.000058389505,0.00008949339,0.9665072,0.030964222,0.00035103416,0.00035372985,0.000016660793],"about_ca_topic_score_codex":0.005688965,"about_ca_topic_score_gemma":0.0021528422,"teacher_disagreement_score":0.005688965,"about_ca_system_score_codex":0.0006952875,"about_ca_system_score_gemma":0.00090480485,"threshold_uncertainty_score":0.01131171},"labels":[],"label_agreement":null},{"id":"W3012436707","doi":"10.3390/en13061310","title":"Numerical Study of the Winter–Kennedy Flow Measurement Method in Transient Flows","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Mechanics; Transient (computer programming); Casing; Flow (mathematics); Turbine; Computational fluid dynamics; Inlet; Volumetric flow rate; Instability; Plane (geometry); Physics; Mathematics; Thermodynamics; Engineering; Geometry; Mechanical engineering; Computer science","score_opus":0.029396198271742075,"score_gpt":0.23770481243246458,"score_spread":0.2083086141607225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012436707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3026474,0.00028784559,0.6931789,0.00012466192,0.00005317189,0.000075260854,0.000048352696,0.0003622159,0.0032222087],"genre_scores_gemma":[0.90242714,0.00007606382,0.096707396,0.000012586099,0.000007977751,0.000058693764,0.000027967828,0.000026115214,0.00065613433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995683,0.00020070131,0.000025852592,0.00005624678,0.00010870623,0.00004017722],"domain_scores_gemma":[0.9984659,0.00093978626,0.0001887827,0.00014353794,0.00021876716,0.000043245294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001309398,0.0003113042,0.00040799624,0.0005001337,0.00031087032,0.00043417813,0.00064444676,0.00053818536,0.00050707825],"category_scores_gemma":[0.0033763235,0.00022299627,0.00025481175,0.0004638521,0.00082982203,0.0007057408,0.00044087265,0.00041455732,0.0000921442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006580481,0.00016696531,0.016357599,0.00022002019,0.00006383406,0.0004033865,0.000638406,0.69629663,0.12268443,0.031951424,0.0008457974,0.12971349],"study_design_scores_gemma":[0.0000047579424,0.000035994854,0.00065835647,0.0000034566872,0.0000024040808,0.000027349903,0.000015696669,0.99396557,0.0048285765,0.00023130538,0.00021860618,0.000007921421],"about_ca_topic_score_codex":0.0038305433,"about_ca_topic_score_gemma":0.0018739792,"teacher_disagreement_score":0.0038305433,"about_ca_system_score_codex":0.0004268216,"about_ca_system_score_gemma":0.00047765666,"threshold_uncertainty_score":0.00761652},"labels":[],"label_agreement":null},{"id":"W3012526415","doi":"10.3390/en13061377","title":"Performance Evaluation of Bus Rapid Transit System: A Comparative Analysis of Alternative Approaches for Energy Efficient Eco-Friendly Public Transport System","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Bus rapid transit; Public transport; Environmentally friendly; Transport engineering; Efficient energy use; Computer science; Hybrid system; Automotive engineering; Environmental economics; Engineering; Economics; Electrical engineering","score_opus":0.10003333265200653,"score_gpt":0.293566707958812,"score_spread":0.19353337530680548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012526415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9531573,0.0016039095,0.020280741,0.00024645234,0.00005973312,0.00020605618,0.0005041292,0.00011418551,0.023827452],"genre_scores_gemma":[0.9970433,0.0002931521,0.0017019586,0.0000049598166,0.00000708544,0.000022635166,0.00015495584,0.000008832929,0.0007630057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986003,0.00063069724,0.00005280471,0.00009746845,0.00046275137,0.00015602175],"domain_scores_gemma":[0.9989281,0.00041730146,0.00009264998,0.000053553675,0.00045569096,0.000052654963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001688523,0.0008827005,0.00064404245,0.0024387317,0.00044891195,0.0014737935,0.00042909718,0.0005209764,0.0030217206],"category_scores_gemma":[0.0019105478,0.00017514636,0.0009648417,0.0014834484,0.00025783994,0.0012129135,0.00049848814,0.00035268112,0.00021886616],"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":[0.0017188592,0.0005814928,0.025768269,0.0013260811,0.000531342,0.00040651576,0.00034743638,0.82477564,0.011811147,0.010900933,0.002199824,0.11963245],"study_design_scores_gemma":[0.00010042819,0.006672464,0.057205692,0.00013762744,0.0006200383,0.00020957619,0.0026677803,0.9112718,0.011221915,0.0031325591,0.006666418,0.0000936274],"about_ca_topic_score_codex":0.0065687383,"about_ca_topic_score_gemma":0.0074486583,"teacher_disagreement_score":0.0065687383,"about_ca_system_score_codex":0.0018114488,"about_ca_system_score_gemma":0.0007040446,"threshold_uncertainty_score":0.013143003},"labels":[],"label_agreement":null},{"id":"W3013063464","doi":"10.3390/en13071535","title":"Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy Security and Policy","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation Singapore","keywords":"Robustness (evolution); Data envelopment analysis; Mains electricity; Electricity; Resilience (materials science); Psychological resilience; Environmental economics; Energy supply; Computer science; Electric power distribution; Economics; Econometrics; Business; Energy (signal processing); Engineering; Mathematical optimization; Mathematics; Statistics","score_opus":0.021174610218149034,"score_gpt":0.24340616797579562,"score_spread":0.22223155775764658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013063464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6852917,0.0005479659,0.30174163,0.0003767756,0.000022487413,0.00014680454,0.00092220417,0.00017516098,0.01077527],"genre_scores_gemma":[0.9901074,0.00012601053,0.009280946,0.000011919663,0.000004743119,0.000032575685,0.00021777052,0.000013213205,0.00020535757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982539,0.0009944795,0.000100754834,0.00020204626,0.0002883308,0.00016047154],"domain_scores_gemma":[0.99685884,0.0018424914,0.0005896571,0.00036608594,0.00029328128,0.000049644896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033538565,0.00077875506,0.00079667004,0.0026534256,0.00019017563,0.0016421535,0.0005169432,0.00060760847,0.0010341584],"category_scores_gemma":[0.009963437,0.00028968818,0.0012961106,0.0030199443,0.00068310805,0.0020742717,0.0015759119,0.0006207698,0.00013011269],"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":[0.0000308593,0.000019379853,0.0056061186,0.000027248776,0.000100237914,0.00004484268,0.000026710193,0.9800673,0.00031308684,0.007366107,0.00014357541,0.0062545273],"study_design_scores_gemma":[0.0000067751466,0.00006350265,0.005133566,0.000021772319,0.000046541973,0.00002749716,0.000119939315,0.9855334,0.00079299975,0.0077105784,0.0005243493,0.00001913698],"about_ca_topic_score_codex":0.0068727382,"about_ca_topic_score_gemma":0.0026182486,"teacher_disagreement_score":0.0068727382,"about_ca_system_score_codex":0.0014673616,"about_ca_system_score_gemma":0.000804212,"threshold_uncertainty_score":0.01773709},"labels":[],"label_agreement":null},{"id":"W3014109832","doi":"10.3390/en13071743","title":"Artificial Neural Network and Kalman Filter for Estimation and Control in Standalone Induction Generator Wind Energy DC Microgrid","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Canada Foundation for Innovation","keywords":"Control theory (sociology); Microgrid; Induction generator; Engineering; Variable speed wind turbine; Wind power; Kalman filter; Vector control; Computer science; Induction motor; Control engineering; Voltage; Permanent magnet synchronous generator; Electrical engineering","score_opus":0.011532479064377944,"score_gpt":0.19432876514906675,"score_spread":0.1827962860846888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014109832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032441735,0.0013238341,0.96070975,0.00014786018,0.0000992353,0.000050963183,0.000053267548,0.001034243,0.004139154],"genre_scores_gemma":[0.9444358,0.0006774395,0.05132093,0.000053308224,0.00004562739,0.0001309156,0.000083623534,0.00004149491,0.0032109264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997451,0.000063971835,0.000025114929,0.00005976203,0.0000809192,0.000025112198],"domain_scores_gemma":[0.9996847,0.0001371574,0.000043272325,0.000021044363,0.00010569099,0.000008144443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068116817,0.00061374437,0.0004772191,0.0002525019,0.0003074208,0.00062248885,0.0004872883,0.0005079446,0.0011516195],"category_scores_gemma":[0.0010447373,0.00024076749,0.00028645262,0.0002745596,0.00025474664,0.0006320414,0.00028933072,0.0006019105,0.00024404915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019495087,0.000053923457,0.0010810595,0.00016781743,0.00007676291,0.00008844403,0.00008364542,0.8448909,0.004436001,0.0049873283,0.00075360795,0.14318562],"study_design_scores_gemma":[0.0000055295595,0.000024060006,0.0002248298,0.0000061627543,0.000007774242,0.000006321469,0.0000048901056,0.9981875,0.0007043163,0.00044780018,0.0003769017,0.000003867979],"about_ca_topic_score_codex":0.01466415,"about_ca_topic_score_gemma":0.009828074,"teacher_disagreement_score":0.01466415,"about_ca_system_score_codex":0.0005154246,"about_ca_system_score_gemma":0.00060876133,"threshold_uncertainty_score":0.029157579},"labels":[],"label_agreement":null},{"id":"W3014222746","doi":"10.3390/en13071735","title":"Two-Layer Ensemble-Based Soft Voting Classifier for Transformer Oil Interfacial Tension Prediction","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Voting; Transformer; Classifier (UML); Transformer oil; Computer science; Test data; Voltage; Artificial intelligence; Pattern recognition (psychology); Engineering","score_opus":0.02619995406865444,"score_gpt":0.22918668419237484,"score_spread":0.2029867301237204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014222746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23038651,0.0012764101,0.7639452,0.00026810347,0.00023763673,0.00008831056,0.00020859906,0.0010814357,0.0025077884],"genre_scores_gemma":[0.95510197,0.00023138353,0.041663885,0.00009145877,0.00006293805,0.000063250285,0.0002820672,0.000028761386,0.00247419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993249,0.0001732795,0.00005363742,0.0001467827,0.00018257421,0.00011883628],"domain_scores_gemma":[0.9988426,0.00047678695,0.000066143475,0.00009261705,0.0004714826,0.000050388357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020483024,0.0010245114,0.001763009,0.0009410478,0.00043892252,0.00077716826,0.0014052571,0.0009897513,0.00083396985],"category_scores_gemma":[0.0023500244,0.00036029748,0.0010843911,0.00062509876,0.00025547587,0.001180553,0.00082833524,0.0011941919,0.00043725834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059058866,0.0003546803,0.008447589,0.00006968574,0.000308574,0.00015044253,0.00008447903,0.5818094,0.011638295,0.0010534105,0.001986281,0.39350647],"study_design_scores_gemma":[0.0000023374719,0.000035526216,0.00026748204,0.0000027163524,0.00001428295,0.000009587511,0.00000507269,0.9984207,0.0010117791,0.00015981271,0.00006638203,0.0000042703177],"about_ca_topic_score_codex":0.006824731,"about_ca_topic_score_gemma":0.0057845064,"teacher_disagreement_score":0.006824731,"about_ca_system_score_codex":0.00048098952,"about_ca_system_score_gemma":0.00063839694,"threshold_uncertainty_score":0.013570011},"labels":[],"label_agreement":null},{"id":"W3014375872","doi":"10.3390/en13071638","title":"High Reynold’s Number Turbulent Model for Micro-Channel Cold Plate Using Reverse Engineering Approach for Water-Cooled Battery in Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Coolant; Battery (electricity); Turbulence; Water cooling; Materials science; Mechanical engineering; Heat flux; Thermal; Mass flow rate; Nuclear engineering; Air cooling; Lithium-ion battery; Mechanics; Heat transfer; Engineering; Thermodynamics; Power (physics); Physics","score_opus":0.028258818695149086,"score_gpt":0.2360504708844639,"score_spread":0.2077916521893148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014375872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11707428,0.0025210816,0.8264473,0.00090753834,0.0004947425,0.00030818084,0.0005505464,0.0005414652,0.051154945],"genre_scores_gemma":[0.90832424,0.0014021017,0.041772418,0.00017795624,0.000101774625,0.00055488024,0.00039502297,0.00021520964,0.04705646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981457,0.00004391707,0.000009266894,0.00003110773,0.000058340684,0.000042812062],"domain_scores_gemma":[0.9997613,0.00008037658,0.0000344861,0.000011932656,0.000086475746,0.000025432093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038201432,0.00092623656,0.0008233845,0.00066885597,0.00081406866,0.0012326791,0.0012925903,0.0017111388,0.0028349592],"category_scores_gemma":[0.00069553265,0.0004869328,0.0011567941,0.00039485763,0.0011590006,0.00094004686,0.0007745303,0.0012592587,0.0005603747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035877332,0.00003287655,0.00063340244,0.000073580704,0.000012361459,0.00013259589,0.000059981605,0.97851074,0.0036344777,0.014045567,0.0005197544,0.0023088676],"study_design_scores_gemma":[0.0000032009152,0.000005326732,0.00005352154,0.000003559835,0.0000015484121,0.000006098067,0.000008168991,0.99890876,0.0002076198,0.00040693732,0.00039115993,0.0000041660387],"about_ca_topic_score_codex":0.026781801,"about_ca_topic_score_gemma":0.013919104,"teacher_disagreement_score":0.026781801,"about_ca_system_score_codex":0.0014077881,"about_ca_system_score_gemma":0.001843677,"threshold_uncertainty_score":0.053251803},"labels":[],"label_agreement":null},{"id":"W3014497348","doi":"10.3390/en13071739","title":"Energy Implications of Lot Sizing Decisions in Refrigerated Warehouses","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Università degli Studi di Brescia","keywords":"Warehouse; Sizing; Work (physics); Energy consumption; Sustainability; Quality (philosophy); Energy (signal processing); Order picking; Order (exchange); Supply chain; Environmental economics; Consumption (sociology); Operations research; Computer science; Operations management; Business; Engineering; Economics; Mathematics; Marketing","score_opus":0.050783635265004234,"score_gpt":0.23863577991482451,"score_spread":0.18785214464982028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014497348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8752803,0.0012123279,0.106512316,0.0017499671,0.00010058141,0.00017809065,0.00058332674,0.00010178285,0.014281186],"genre_scores_gemma":[0.9947232,0.00023247859,0.003468089,0.00003997321,0.000009381976,0.000021460632,0.000077384335,0.000014729196,0.0014133807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938726,0.00030526752,0.00002638583,0.00006851357,0.00006828252,0.00014431827],"domain_scores_gemma":[0.9942365,0.004570542,0.00057900895,0.00009045238,0.000290345,0.00023313618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025826688,0.00058290694,0.0010250659,0.00080086617,0.000693278,0.0021355322,0.0011426155,0.0013781375,0.005099257],"category_scores_gemma":[0.00650427,0.0007890471,0.0008780587,0.0008115275,0.0011187162,0.001801473,0.00076300756,0.0010400574,0.00015403755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001547381,0.000043855376,0.0009516133,0.00005759109,0.0000217477,0.00012704724,0.000031291165,0.98835015,0.0006143225,0.0071827024,0.00028739826,0.0021774308],"study_design_scores_gemma":[0.00002057592,0.000079843616,0.001050519,0.000016512591,0.000020701336,0.000019417994,0.000102400365,0.99191475,0.00032522168,0.0062687853,0.00016621363,0.000015134666],"about_ca_topic_score_codex":0.0106858555,"about_ca_topic_score_gemma":0.011232607,"teacher_disagreement_score":0.0106858555,"about_ca_system_score_codex":0.0024527805,"about_ca_system_score_gemma":0.0014684225,"threshold_uncertainty_score":0.021247327},"labels":[],"label_agreement":null},{"id":"W3015012245","doi":"10.3390/en13071629","title":"Li-Ion Battery Performance Degradation Modeling for the Optimal Design and Energy Management of Electrified Propulsion Systems","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Transport Canada","keywords":"Battery (electricity); Sizing; Automotive engineering; Powertrain; Energy storage; Driving cycle; Propulsion; Engineering; Reliability engineering; Electric vehicle; Electrically powered spacecraft propulsion; Power (physics); Computer science","score_opus":0.037085579441156445,"score_gpt":0.23289231953158887,"score_spread":0.19580674009043242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015012245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3516556,0.000989068,0.6286285,0.00028637933,0.000038438793,0.00015397924,0.00050450664,0.0010827197,0.016660783],"genre_scores_gemma":[0.9836304,0.00032033128,0.011890458,0.000023477958,0.0000062972354,0.00011535038,0.00015998466,0.000046170015,0.0038073328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999877,0.000025316407,0.000008994377,0.000020248895,0.00005348633,0.000015040556],"domain_scores_gemma":[0.9998448,0.00006510805,0.000023525092,0.000015388985,0.00004747751,0.0000037971631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026471063,0.00054226146,0.0004197045,0.00033983172,0.00018207019,0.00044155816,0.0005707301,0.0004934834,0.00096287095],"category_scores_gemma":[0.0006695837,0.00021941925,0.00057329604,0.00026287365,0.00019388826,0.00057661615,0.00026325916,0.00040306328,0.00027588633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002129928,0.000018119059,0.00042232827,0.000027007543,0.000006451591,0.000020338959,0.00002095567,0.98989534,0.003992145,0.0003276999,0.00013780501,0.005110426],"study_design_scores_gemma":[0.0000011387014,0.000013989041,0.00013485788,0.0000013098726,0.0000023728728,0.0000041537724,0.0000035330859,0.9988136,0.0007715792,0.0000947781,0.00015734699,0.0000013845914],"about_ca_topic_score_codex":0.0048323283,"about_ca_topic_score_gemma":0.0033612333,"teacher_disagreement_score":0.0048323283,"about_ca_system_score_codex":0.00066670007,"about_ca_system_score_gemma":0.00044836904,"threshold_uncertainty_score":0.009608388},"labels":[],"label_agreement":null},{"id":"W3015023418","doi":"10.3390/en13071642","title":"Techno-Economic Evaluation of Interconnected Nuclear-Renewable Micro Hybrid Energy Systems with Combined Heat and Power","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Fossil fuel; Base load power plant; Nuclear power; Greenhouse gas; Energy development; Environmental science; Electric power system; Engineering; Process engineering; Waste management; Distributed generation; Power (physics); Electrical engineering; Physics","score_opus":0.01255878219145011,"score_gpt":0.2044276421706802,"score_spread":0.1918688599792301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015023418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842636,0.00036589566,0.0073339823,0.0001352379,0.000027898766,0.00012111496,0.00030356477,0.000035790526,0.0074128686],"genre_scores_gemma":[0.9989562,0.00007010579,0.00048724384,0.0000048684738,0.0000025483337,0.000023783923,0.00005656436,0.0000028075012,0.00039587074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992816,0.0004011595,0.000030097124,0.0000622102,0.00013783154,0.00008710021],"domain_scores_gemma":[0.998323,0.0012575494,0.00012022554,0.000052130956,0.00019040001,0.000056613746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016858203,0.0009509284,0.000761787,0.0012249273,0.0004581017,0.0013399126,0.00068412634,0.00077632925,0.0022834006],"category_scores_gemma":[0.002026636,0.00043974505,0.0013066261,0.00089003844,0.00068386726,0.00116831,0.00066892576,0.00065476215,0.00012143681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028636746,0.00010150725,0.0029095437,0.00007606617,0.000088183544,0.00014475477,0.00001444305,0.9905832,0.0014595807,0.0011225091,0.00010711634,0.0031067631],"study_design_scores_gemma":[0.000034535173,0.00047972676,0.0044875247,0.000009844278,0.00007936762,0.000026247402,0.00010853245,0.9921192,0.0018117246,0.0005882973,0.00023841384,0.000016688065],"about_ca_topic_score_codex":0.009986766,"about_ca_topic_score_gemma":0.007935223,"teacher_disagreement_score":0.009986766,"about_ca_system_score_codex":0.0024130004,"about_ca_system_score_gemma":0.0006384304,"threshold_uncertainty_score":0.019857287},"labels":[],"label_agreement":null},{"id":"W3015177395","doi":"10.3390/en13071761","title":"The Potential Contribution of Imported Biomass to Renewable Energy Targets in the EU–the Trade-off between Ambitious Greenhouse Gas Emission Reduction Targets and Cost Thresholds","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":13,"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":"Rijksdienst voor Ondernemend Nederland","keywords":"Pellets; Greenhouse gas; Bioenergy; Renewable energy; Environmental science; Biomass (ecology); European union; Torrefaction; Raw material; Natural resource economics; Agricultural economics; European commission; Environmental engineering; Economics; Waste management; International economics; Engineering; Agronomy; Chemistry; Ecology; Materials science","score_opus":0.008910812009129195,"score_gpt":0.2096785751007994,"score_spread":0.20076776309167021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015177395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97846794,0.00047852146,0.004528317,0.00009900262,0.00000871378,0.000012740034,0.00030096478,0.00002697127,0.016076863],"genre_scores_gemma":[0.9969753,0.00019090755,0.0016499605,0.00001655766,0.0000014679201,0.000008006952,0.0003102414,0.000021367414,0.0008262948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992514,0.0001924319,0.000047124464,0.00011995509,0.00027017944,0.000118877295],"domain_scores_gemma":[0.99938524,0.00021997179,0.00010827478,0.000103693885,0.00015956364,0.000023286899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011783324,0.00044293253,0.00043892756,0.00077384495,0.00030619695,0.0024691185,0.00045361012,0.00054730056,0.001992707],"category_scores_gemma":[0.0014061641,0.00018985149,0.00064117345,0.0015691447,0.00038509685,0.0013046532,0.0011813573,0.00041662256,0.0003301203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002343576,0.00034819313,0.17182477,0.0010920983,0.0005325026,0.002545739,0.0007645146,0.47132942,0.10644897,0.039638165,0.0010741636,0.20205788],"study_design_scores_gemma":[0.00009241963,0.0017794492,0.6075247,0.000670916,0.00071102753,0.0016418619,0.007663321,0.15810794,0.15543522,0.029180055,0.03698582,0.00020720341],"about_ca_topic_score_codex":0.0034374506,"about_ca_topic_score_gemma":0.006894648,"teacher_disagreement_score":0.0034374506,"about_ca_system_score_codex":0.001361933,"about_ca_system_score_gemma":0.00049468176,"threshold_uncertainty_score":0.009881616},"labels":[],"label_agreement":null},{"id":"W3015631154","doi":"10.3390/en13071771","title":"Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"News aggregator; Electric vehicle; Operations research; Profit (economics); Computer science; Scheduling (production processes); Economics; Microeconomics; Business; Operations management; Engineering","score_opus":0.004817438373616579,"score_gpt":0.19860723372939118,"score_spread":0.1937897953557746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015631154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046601195,0.0002694394,0.9390653,0.00046014084,0.000080005535,0.00015039612,0.00008832559,0.00017238052,0.013112857],"genre_scores_gemma":[0.74641865,0.00042811225,0.24812695,0.00012480502,0.000044100012,0.0002936924,0.000115922645,0.00007842896,0.0043692794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939656,0.0003469554,0.00001925846,0.000060869254,0.00008684463,0.00008946049],"domain_scores_gemma":[0.9991159,0.00062370306,0.00005536812,0.000019553909,0.00012690591,0.00005849266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017745221,0.0008208675,0.00071907236,0.0005179652,0.0005840033,0.0016658978,0.00076921046,0.0010674929,0.0028623857],"category_scores_gemma":[0.0020335317,0.00036653414,0.0008881476,0.0006893405,0.0004214409,0.0006414509,0.00094832893,0.0012303349,0.00021018449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050188395,0.000079189995,0.0005119455,0.00008614836,0.000024494302,0.00012886306,0.00007744894,0.96119386,0.000599523,0.022797221,0.0008962113,0.013554952],"study_design_scores_gemma":[0.000004668644,0.00001549181,0.00005118999,0.000004697845,0.00000386825,0.000006941177,0.000024847213,0.9960437,0.00011486157,0.0034096309,0.00031745707,0.0000026877967],"about_ca_topic_score_codex":0.0073620025,"about_ca_topic_score_gemma":0.006624828,"teacher_disagreement_score":0.0073620025,"about_ca_system_score_codex":0.0010904154,"about_ca_system_score_gemma":0.0018194201,"threshold_uncertainty_score":0.014638305},"labels":[],"label_agreement":null},{"id":"W3015731235","doi":"10.3390/en13071813","title":"Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Photovoltaic system; Renewable energy; Net present value; Energy storage; Prosumer; Computer science; Mathematical optimization; Grid; Electricity; Reliability engineering; Environmental economics; Engineering; Power (physics); Production (economics); Electrical engineering; Economics; Mathematics; Microeconomics","score_opus":0.027369907741307327,"score_gpt":0.20839596379554706,"score_spread":0.18102605605423974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015731235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07428416,0.00059163495,0.9162222,0.0005153393,0.000044736298,0.00012250869,0.0002583383,0.00012474875,0.0078363735],"genre_scores_gemma":[0.90988874,0.0006013575,0.085750416,0.00010522168,0.000042084357,0.00025527366,0.00020416379,0.000049614217,0.0031031547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939394,0.00028333155,0.000023462382,0.000070377515,0.00012263714,0.00010633237],"domain_scores_gemma":[0.9988865,0.0007857884,0.00012554052,0.000025847032,0.000120689365,0.000055597775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011613478,0.001027383,0.0012683572,0.0007322166,0.00042475606,0.0014969519,0.0009169835,0.0010780395,0.0021134927],"category_scores_gemma":[0.0021942589,0.0011845134,0.0009259966,0.0008773985,0.0006463419,0.0009212664,0.00075147,0.0011206692,0.00016483503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007956442,0.0000052109954,0.00007668873,0.000009179476,0.0000069503426,0.000016543729,0.000004689755,0.9973713,0.00008949385,0.0014387505,0.000044352975,0.00092883594],"study_design_scores_gemma":[0.0000032490743,0.000008881176,0.000035196485,0.0000034103596,0.0000037905227,0.0000042207007,0.0000065719546,0.99864477,0.000061320854,0.0011428914,0.000083808714,0.0000018978398],"about_ca_topic_score_codex":0.009523718,"about_ca_topic_score_gemma":0.011063747,"teacher_disagreement_score":0.009523718,"about_ca_system_score_codex":0.0013113855,"about_ca_system_score_gemma":0.0020660344,"threshold_uncertainty_score":0.018936574},"labels":[],"label_agreement":null},{"id":"W3016120337","doi":"10.3390/en13071797","title":"Study on the Tri-axial Time-Dependent Deformation and Constitutive Model of Glauberite Salt Rock under the Coupled Effects of Compression and Dissolution","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Fund for Distinguished Young Scholars; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; National Natural Science Foundation of China","keywords":"Geotechnical engineering; Deformation (meteorology); Geology; Overburden pressure; Materials science; Composite material","score_opus":0.01630991830657606,"score_gpt":0.21078406671860497,"score_spread":0.19447414841202892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016120337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93030816,0.0005340763,0.06261532,0.00036395164,0.000025414487,0.000047979942,0.00017105533,0.00015274934,0.0057812496],"genre_scores_gemma":[0.99562484,0.00016969029,0.0021244145,0.000026282334,0.0000043453474,0.000019298725,0.00006975968,0.000015736521,0.0019456405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979,0.000020372217,0.0000119479055,0.00005818656,0.00008615299,0.00003330423],"domain_scores_gemma":[0.9998404,0.00003747835,0.00004606628,0.000021907008,0.000038306178,0.000015942749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000291121,0.0003762331,0.00035314137,0.00058974675,0.00025761657,0.00052635616,0.0008357733,0.0011970361,0.0008451303],"category_scores_gemma":[0.0004309946,0.00023214503,0.0005775876,0.0003701942,0.00085114577,0.0005170344,0.000302816,0.00040436428,0.00013759374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010691268,0.00015338593,0.015318396,0.00014257655,0.000039052673,0.0012961943,0.0004878174,0.83572847,0.12785007,0.0060345586,0.00050074,0.012341821],"study_design_scores_gemma":[0.000002858044,0.000023446099,0.0026856,0.0000034007537,0.0000042126753,0.00009512393,0.00004315977,0.9931043,0.003513653,0.00027188446,0.00024228371,0.000010114611],"about_ca_topic_score_codex":0.01372669,"about_ca_topic_score_gemma":0.007269963,"teacher_disagreement_score":0.01372669,"about_ca_system_score_codex":0.00063726807,"about_ca_system_score_gemma":0.0007217378,"threshold_uncertainty_score":0.027293563},"labels":[],"label_agreement":null},{"id":"W3016216629","doi":"10.3390/en13071789","title":"Review of Fiber Optic Diagnostic Techniques for Power Transformers","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Unavailability; Transformer; Optical fiber; Engineering; Reliability engineering; Condition monitoring; Automotive engineering; Computer science; Electrical engineering; Electronic engineering; Telecommunications; Voltage","score_opus":0.011285255653933124,"score_gpt":0.23921999461750537,"score_spread":0.22793473896357225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016216629","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":[0.0009845273,0.97705954,0.009555083,0.00044536975,0.0012252254,0.0000322231,0.00009370265,0.00007599577,0.010528362],"genre_scores_gemma":[0.0059601525,0.972249,0.010036347,0.00045851365,0.0011079852,0.00004137455,0.0002040814,0.00003383201,0.009908765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996933,0.000029472123,0.000038433984,0.00005858437,0.00015925581,0.000020960082],"domain_scores_gemma":[0.9995528,0.00017273982,0.000052491792,0.00002456834,0.00017896814,0.000018377355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041302032,0.0007448005,0.0005886262,0.0022634498,0.00031000964,0.00078161445,0.0008148475,0.0008241746,0.0062663467],"category_scores_gemma":[0.00060951407,0.00036165572,0.00045536752,0.0022568828,0.00030096105,0.0017584665,0.00041117985,0.00089438213,0.0039298483],"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":[0.00005996668,0.000071168,0.00021976254,0.009854828,0.000038120448,0.00024365359,0.000059655642,0.00084640435,0.014281517,0.0079777725,0.0297418,0.9366053],"study_design_scores_gemma":[0.0000036999218,0.000100342695,0.0007385683,0.0013524927,0.000040204985,0.0013147063,0.000036967704,0.00053264445,0.0052403794,0.002292496,0.98831904,0.000028349557],"about_ca_topic_score_codex":0.00075872283,"about_ca_topic_score_gemma":0.0008359759,"teacher_disagreement_score":0.0062663467,"about_ca_system_score_codex":0.00044276664,"about_ca_system_score_gemma":0.0005579229,"threshold_uncertainty_score":0.020963073},"labels":[],"label_agreement":null},{"id":"W3016258751","doi":"10.3390/en13081884","title":"Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia","keywords":"Microgrid; Renewable energy; Dispatchable generation; Demand response; Environmental economics; Energy storage; Vehicle-to-grid; Photovoltaic system; Energy management system; Sustainability; Energy management; Computer science; Distributed generation; Business; Electric vehicle; Electricity; Engineering; Economics; Energy (signal processing); Electrical engineering","score_opus":0.004303975382115653,"score_gpt":0.19235823670521304,"score_spread":0.18805426132309738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016258751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42790362,0.0015956819,0.54146117,0.001046334,0.00012466562,0.00022014101,0.0005428586,0.0003627954,0.026742723],"genre_scores_gemma":[0.9919412,0.00018005946,0.0051752953,0.000031136402,0.00000913415,0.00006070128,0.000063664476,0.000024623265,0.0025141384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996971,0.0001432016,0.000008261331,0.000038733724,0.000043322787,0.0000694122],"domain_scores_gemma":[0.9996232,0.00020887707,0.00006114992,0.000014816963,0.00006072834,0.00003118012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007965045,0.0010763489,0.0010818945,0.0003968212,0.00039285605,0.001656041,0.0008621961,0.0011121379,0.0022224477],"category_scores_gemma":[0.0010998903,0.00058146706,0.00092876796,0.00049200247,0.00057113246,0.000988855,0.00086571614,0.0008166879,0.00018887073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022961278,0.0000138666965,0.00016517323,0.000018903542,0.000008721703,0.000030077927,0.0000066131947,0.9969248,0.0002118382,0.0014167663,0.00012019405,0.0010600879],"study_design_scores_gemma":[0.0000040435675,0.00001536296,0.000074221345,0.0000022844238,0.0000042712454,0.0000042167317,0.000011767479,0.99911004,0.00008778602,0.00059029134,0.00009314682,0.0000025038382],"about_ca_topic_score_codex":0.013356349,"about_ca_topic_score_gemma":0.010768398,"teacher_disagreement_score":0.013356349,"about_ca_system_score_codex":0.0014785497,"about_ca_system_score_gemma":0.0015387352,"threshold_uncertainty_score":0.026557207},"labels":[],"label_agreement":null},{"id":"W3016384204","doi":"10.3390/en13081990","title":"Validation and Numerical Sensitivity Study of Air Baffle Photovoltaic-Thermal Module","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic 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":false,"ca_institutions":"Natural Resources Canada","funders":"Korea Institute of Energy Technology Evaluation and Planning","keywords":"Baffle; Pressure drop; Computational fluid dynamics; Heat transfer; Mechanics; Thermal; Environmental science; Sensitivity (control systems); Engineering; Mechanical engineering; Meteorology; Physics","score_opus":0.021219751757044113,"score_gpt":0.2315582954663109,"score_spread":0.2103385437092668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016384204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647821,0.00021593043,0.030836746,0.00012197696,0.00004690855,0.000119386255,0.00048427255,0.00029076572,0.003101807],"genre_scores_gemma":[0.994066,0.000049939266,0.0052713994,0.000016139273,0.0000026738578,0.00004891832,0.00014569853,0.000011907938,0.0003872901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992217,0.00025943527,0.00005555356,0.00012674976,0.00023962831,0.00009700621],"domain_scores_gemma":[0.99777836,0.0013358842,0.00015456691,0.00030111705,0.00040177957,0.000028397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013576858,0.0006621905,0.0006179635,0.00046921687,0.00042776865,0.0006401943,0.0008535315,0.0011093725,0.00120226],"category_scores_gemma":[0.0032534096,0.00030455174,0.0009002974,0.0004225945,0.0004971623,0.0005471034,0.0006866267,0.00067498867,0.00016532755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022631555,0.00019091516,0.0069764173,0.00018949775,0.000044900935,0.00016082326,0.0000701448,0.9416934,0.04222356,0.0005716901,0.0002268772,0.0074255043],"study_design_scores_gemma":[0.000031813215,0.0005000199,0.003628938,0.000016529351,0.000027235277,0.000055994064,0.00005219848,0.94916165,0.04571587,0.00021829641,0.0005649058,0.000026525253],"about_ca_topic_score_codex":0.004759026,"about_ca_topic_score_gemma":0.0023969223,"teacher_disagreement_score":0.004759026,"about_ca_system_score_codex":0.00066684716,"about_ca_system_score_gemma":0.00033568073,"threshold_uncertainty_score":0.009462655},"labels":[],"label_agreement":null},{"id":"W3016782578","doi":"10.3390/en13081940","title":"Public Preferences in a Shifting Energy Future: Comparing Public Views of Eight Energy Sources in North America’s Pacific Northwest","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":49,"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":"Oregon Sea Grant, Oregon State University","keywords":"Renewable energy; Hydropower; Fossil fuel; Natural resource economics; Energy policy; Environmental impact of the energy industry; Energy source; Energy subsidies; Energy development; Wind power; Business; Economy; Economics; Engineering; Waste management","score_opus":0.06106862578505394,"score_gpt":0.2577227047539195,"score_spread":0.19665407896886555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016782578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804074,0.000028934104,0.00001989217,0.00015882617,0.0000023628675,0.0000038503267,0.00010455346,6.6329363e-7,0.0016402194],"genre_scores_gemma":[0.9991948,0.0000868478,0.000032294087,0.00006647171,0.0000024613223,0.00000888772,0.00019576456,0.0000011697899,0.00041117962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993629,0.00017730308,0.000035327084,0.00004688513,0.00021563395,0.00016194269],"domain_scores_gemma":[0.9958567,0.0011817644,0.001112547,0.0001446632,0.0011222608,0.00058204273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013019094,0.00014105004,0.00016507646,0.00083969586,0.0013926274,0.0013761163,0.00033705175,0.00042825844,0.0019593635],"category_scores_gemma":[0.0042151758,0.00013781867,0.00020262749,0.0012566497,0.00098623,0.0007307237,0.0009866524,0.00085836387,0.0001451403],"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":[0.0001148862,0.00015181447,0.96067417,0.000026403348,0.00006715565,0.00010913949,0.026633956,0.0001513165,0.00024448638,0.00027675604,0.0009227458,0.010627224],"study_design_scores_gemma":[0.000005914568,0.000031245632,0.9172488,0.000041300325,0.000018733752,0.000022026903,0.08022982,0.0002821474,0.0001214141,0.000094834555,0.0018916505,0.0000120285395],"about_ca_topic_score_codex":0.6083042,"about_ca_topic_score_gemma":0.73489493,"teacher_disagreement_score":0.6083042,"about_ca_system_score_codex":0.0038048194,"about_ca_system_score_gemma":0.0029441295,"threshold_uncertainty_score":0.7880051},"labels":[],"label_agreement":null},{"id":"W3017267543","doi":"10.3390/en13082028","title":"Analyzing Actors’ Engagement in Sustainable Energy Planning at the Local Level in Ghana: An Empirical Study","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","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":"York University","funders":"African Union Commission; King Fahd University of Petroleum and Minerals; African Union; York University","keywords":"Local government; Devolution (biology); Sustainable development; Business; Energy planning; Government (linguistics); Environmental planning; Environmental resource management; Environmental economics; Public administration; Economic growth; Political science; Economics; Sociology; Geography; Engineering; Renewable energy","score_opus":0.05584207244976368,"score_gpt":0.29161184837542303,"score_spread":0.23576977592565934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017267543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959531,0.00013193376,0.0003969508,0.00025284733,0.000002812094,0.00007351025,0.00006195298,0.0000032920195,0.0031235483],"genre_scores_gemma":[0.9984779,0.00018426198,0.00036449966,0.000047274487,0.000003080553,0.00009280069,0.000050173774,0.000003019786,0.00077700143],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9980464,0.0012770563,0.00006712474,0.00013343494,0.00013202384,0.00034394243],"domain_scores_gemma":[0.99104756,0.0063232644,0.0013746785,0.00018115902,0.00044964597,0.0006237277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031667722,0.00023823782,0.00033811398,0.0013544287,0.0026239306,0.001698521,0.00048644474,0.0007349622,0.005729839],"category_scores_gemma":[0.005782664,0.00033310437,0.00014438701,0.0032189023,0.0022691241,0.0024413653,0.0018557506,0.00093198003,0.0005764939],"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":[0.0002471666,0.00067520095,0.27804995,0.00059033657,0.000019918863,0.003508488,0.67648655,0.00068558624,0.0014428716,0.0040516383,0.001186023,0.033056248],"study_design_scores_gemma":[0.000013486159,0.00015239535,0.11353679,0.00023816773,0.000015207617,0.00021379493,0.8774697,0.000643427,0.00024040545,0.00055022165,0.006914066,0.000012242409],"about_ca_topic_score_codex":0.014729561,"about_ca_topic_score_gemma":0.0319565,"teacher_disagreement_score":0.014729561,"about_ca_system_score_codex":0.003438962,"about_ca_system_score_gemma":0.001650843,"threshold_uncertainty_score":0.029287636},"labels":[],"label_agreement":null},{"id":"W3017375241","doi":"10.3390/en13082055","title":"An Algorithm for Optimization of Recharging Stops: A Case Study of Electric Vehicle Charging Stations on Canadian’s Ontario Highway 401","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Groundwater recharge; Automotive industry; Electric vehicle; State of charge; Engineering; Transport engineering; Algorithm; Automotive engineering; Computer science; Power (physics); Battery (electricity)","score_opus":0.012581659044961982,"score_gpt":0.21659239702536384,"score_spread":0.20401073798040187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017375241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48634946,0.00069325377,0.4692619,0.0006424084,0.000074381394,0.0007494205,0.0007435644,0.0008453315,0.040640246],"genre_scores_gemma":[0.8872177,0.00016497719,0.10592224,0.00005973899,0.000009233643,0.00021805817,0.0003422566,0.00006636985,0.005999397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.000043443128,0.000009447527,0.00003782126,0.00003928714,0.00008735073],"domain_scores_gemma":[0.99940836,0.0003588369,0.000039980157,0.0000148833215,0.00014036061,0.00003758257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056267314,0.0010863474,0.0007782725,0.00066597416,0.00082895503,0.0010009997,0.0009890613,0.0014299238,0.003322164],"category_scores_gemma":[0.0014025191,0.00042459756,0.0006330868,0.00057227735,0.0005044886,0.00031239714,0.0005972781,0.00056178763,0.00019628032],"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":[0.00003517559,0.000020485912,0.0007578226,0.000031627962,0.000010638465,0.00006882687,0.000044691733,0.9900254,0.00037725794,0.0007268034,0.00032331792,0.007577981],"study_design_scores_gemma":[0.000018416875,0.000042642878,0.00037337057,0.0000075764133,0.000010672805,0.000014600855,0.00006862252,0.9984101,0.00024188207,0.0002732883,0.00053457165,0.000004196005],"about_ca_topic_score_codex":0.20510787,"about_ca_topic_score_gemma":0.23570338,"teacher_disagreement_score":0.79489213,"about_ca_system_score_codex":0.0025603424,"about_ca_system_score_gemma":0.0038549935,"threshold_uncertainty_score":0.40782803},"labels":[],"label_agreement":null},{"id":"W3020826795","doi":"10.3390/en13092150","title":"Overview and Comparative Assessment of Single-Phase Power Converter Topologies of Inductive Wireless Charging Systems","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical engineering; Converters; Electronic engineering; Capacitor; Maximum power transfer theorem; Network topology; Wireless power transfer; Engineering; Power (physics); Boost converter; Computer science; Voltage; Electromagnetic coil; Computer network","score_opus":0.07757768064086944,"score_gpt":0.2960087656896351,"score_spread":0.21843108504876563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020826795","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":[0.08214159,0.3707594,0.3618584,0.00050913816,0.0009806991,0.00047664746,0.0007579899,0.0011291378,0.18138708],"genre_scores_gemma":[0.627011,0.24227242,0.10127085,0.0002151757,0.00073313003,0.00024789845,0.0015699329,0.0002245074,0.026455026],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995436,0.00007304298,0.000055253488,0.00007865028,0.00022043548,0.000028963585],"domain_scores_gemma":[0.99955803,0.00014134565,0.000040409366,0.000033884124,0.00021019165,0.000016079866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045829848,0.00060557626,0.0006555895,0.0023098323,0.0002856794,0.0014147143,0.000717341,0.0005352158,0.004221978],"category_scores_gemma":[0.00075263344,0.0003055353,0.00063293776,0.0025864253,0.00017978527,0.0017202769,0.00028151128,0.00046788788,0.0013980817],"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":[0.00033285058,0.00014342024,0.0016656417,0.0045325523,0.00014037007,0.00027115882,0.00015255593,0.031388126,0.0179762,0.02282569,0.0055947,0.9149767],"study_design_scores_gemma":[0.00009637707,0.004499945,0.014194816,0.0028667692,0.0007816292,0.0068200203,0.00088166253,0.21743408,0.059875462,0.03453751,0.65776455,0.0002472442],"about_ca_topic_score_codex":0.000594765,"about_ca_topic_score_gemma":0.0004998794,"teacher_disagreement_score":0.004221978,"about_ca_system_score_codex":0.00044313038,"about_ca_system_score_gemma":0.0004067836,"threshold_uncertainty_score":0.014123917},"labels":[],"label_agreement":null},{"id":"W3021667500","doi":"10.3390/en13092250","title":"Adaptive Machine Learning for Automated Modeling of Residential Prosumer Agents","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Data Stream Mining Techniques","field":"Computer Science","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":"Polytechnique Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Prosumer; Forgetting; Computer science; Adaptation (eye); Concept drift; Quality (philosophy); Artificial intelligence; Machine learning; Data stream mining; Engineering","score_opus":0.052126510955893324,"score_gpt":0.28557286948455574,"score_spread":0.2334463585286624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021667500","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04863587,0.00015529864,0.9497601,0.00011206884,0.000018236415,0.000046439793,0.00004761767,0.0002612581,0.0009630572],"genre_scores_gemma":[0.9106714,0.00016176961,0.087057285,0.00004299721,0.000022885135,0.00018976796,0.00009133066,0.000025918709,0.001736678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997428,0.0000843837,0.000019792118,0.000067987385,0.00005037743,0.00003462136],"domain_scores_gemma":[0.9992526,0.00047246806,0.00009090994,0.00004814355,0.00011301544,0.000022792448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081635953,0.0005344761,0.0006614638,0.0004720877,0.00033882292,0.0007656074,0.00088399457,0.00069069775,0.00089500827],"category_scores_gemma":[0.002555709,0.0003703091,0.00054355926,0.00037724408,0.00038015388,0.000669747,0.00060783053,0.0011275175,0.00021616202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019090137,0.00002029965,0.00058309763,0.000012597622,0.000014014676,0.0000318418,0.000040448365,0.9835543,0.0004974013,0.0019691945,0.00010501589,0.013152651],"study_design_scores_gemma":[3.401253e-7,0.0000015013559,0.000021782866,3.5056277e-7,5.311149e-7,0.0000012118066,0.0000010559198,0.9996202,0.000041178013,0.0002870734,0.000024285275,4.5417102e-7],"about_ca_topic_score_codex":0.006262034,"about_ca_topic_score_gemma":0.004345964,"teacher_disagreement_score":0.006262034,"about_ca_system_score_codex":0.0006355252,"about_ca_system_score_gemma":0.0006698201,"threshold_uncertainty_score":0.012451172},"labels":[],"label_agreement":null},{"id":"W3022211274","doi":"10.3390/en13092307","title":"Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":33,"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":"University of Waterloo; University of Southern Queensland; McGill University","keywords":"Mean absolute percentage error; Discrete wavelet transform; Extreme learning machine; Benchmark (surveying); Algorithm; Wavelet; Statistics; Energy (signal processing); Wavelet transform; Partial autocorrelation function; Computer science; Autocorrelation; Data mining; Mean squared error; Time series; Mathematics; Artificial intelligence; Autoregressive integrated moving average; Artificial neural network; Geography","score_opus":0.04721880523567025,"score_gpt":0.2555364367465594,"score_spread":0.20831763151088917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022211274","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37375626,0.00066868664,0.6166967,0.00062865054,0.00011205529,0.00017217809,0.00038047147,0.0017881343,0.0057968767],"genre_scores_gemma":[0.8972173,0.00017209843,0.099931404,0.00008413829,0.000025729883,0.00014739155,0.00076017505,0.00006691203,0.001594899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946386,0.00019978762,0.000052497733,0.00008653151,0.00013833065,0.00005901781],"domain_scores_gemma":[0.9987645,0.0007133998,0.00008322378,0.00008429276,0.0003061268,0.00004844886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023047249,0.00078822457,0.0010362866,0.0007405113,0.00029301504,0.0008608485,0.0009820575,0.00083679135,0.0012032556],"category_scores_gemma":[0.004263033,0.00034714982,0.00079925836,0.0005135652,0.00030419626,0.0009311825,0.00080934895,0.0012044986,0.00031814814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057516776,0.00006792772,0.000911852,0.00003216454,0.000023424873,0.000030246638,0.000015553593,0.974082,0.00040439656,0.00076031307,0.00034809118,0.023266505],"study_design_scores_gemma":[0.0000018857597,0.000008120997,0.000066190965,0.0000011650804,0.0000010558883,0.0000017456468,0.0000026148693,0.9996123,0.00013573891,0.00012540264,0.000042928004,9.65636e-7],"about_ca_topic_score_codex":0.008716574,"about_ca_topic_score_gemma":0.0048813387,"teacher_disagreement_score":0.008716574,"about_ca_system_score_codex":0.0006179918,"about_ca_system_score_gemma":0.0011017952,"threshold_uncertainty_score":0.01733172},"labels":[],"label_agreement":null},{"id":"W3022572184","doi":"10.3390/en13092224","title":"Advanced Control of a Compensator Motor Driving a Variable Speed Diesel Generator with Rotating Stator","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Stator; Control theory (sociology); Rotor (electric); Electronic speed control; Automotive engineering; Generator (circuit theory); Diesel generator; Engineering; Diesel fuel; Computer science; Power (physics); Electrical engineering; Control (management); Physics","score_opus":0.005658043281821251,"score_gpt":0.17745823218205936,"score_spread":0.1718001889002381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022572184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60113174,0.00033332215,0.38910097,0.00012749352,0.0001520117,0.00020183875,0.00007128281,0.000966818,0.007914495],"genre_scores_gemma":[0.9801926,0.00004739973,0.01809035,0.000011963243,0.000007312963,0.000029058941,0.000023477727,0.000008591061,0.0015892994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999032,0.00001453984,0.000007102762,0.000029945382,0.000035183883,0.000010018593],"domain_scores_gemma":[0.9998431,0.00003699638,0.000037648322,0.000014706574,0.000059042235,0.000008463908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024587297,0.00027125157,0.00017192659,0.0001821235,0.00015435308,0.00025642928,0.0004048823,0.00020788232,0.00085866573],"category_scores_gemma":[0.00026348213,0.000074863354,0.000112161884,0.00011372674,0.00014989913,0.00009616998,0.00008486848,0.0001653673,0.00017749786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006419338,0.0001801972,0.0022231275,0.0004613541,0.000034214157,0.00027943045,0.00017401071,0.034135576,0.79300284,0.0031206526,0.00092187215,0.16482477],"study_design_scores_gemma":[0.00026099663,0.0039279475,0.01124471,0.00004429326,0.00008729687,0.0006010699,0.00005410976,0.5425797,0.42536187,0.0005982597,0.015186714,0.000052957876],"about_ca_topic_score_codex":0.0006963989,"about_ca_topic_score_gemma":0.0013085913,"teacher_disagreement_score":0.00085866573,"about_ca_system_score_codex":0.00017667472,"about_ca_system_score_gemma":0.00023489921,"threshold_uncertainty_score":0.0028725266},"labels":[],"label_agreement":null},{"id":"W3023206490","doi":"10.3390/en13092279","title":"A Smart Hybrid Energy System Grid for Energy Efficiency in Remote Areas for the Army","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Microgrid; Renewable energy; Energy storage; Scalability; Smart grid; Electricity; Automotive engineering; Computer science; Energy management; Environmental economics; Power (physics); Engineering; Energy (signal processing); Electrical engineering; Database","score_opus":0.017206910743462624,"score_gpt":0.22082424413614435,"score_spread":0.20361733339268173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023206490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16861877,0.0015148575,0.67258054,0.0015043077,0.0005763206,0.00027446475,0.0006441307,0.006640622,0.14764592],"genre_scores_gemma":[0.9309876,0.00038633132,0.04542188,0.00020950912,0.000056629568,0.000107820146,0.00031462655,0.00013332206,0.02238228],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999248,0.000017645541,0.000003324098,0.00001484425,0.00003016467,0.000009226802],"domain_scores_gemma":[0.9999604,0.000004827269,0.000004139375,0.000008751524,0.000014409832,0.0000074536965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011382329,0.00023246664,0.00018213253,0.00016257558,0.00030600347,0.00060009095,0.0003629368,0.00024185785,0.0075175688],"category_scores_gemma":[0.00011193836,0.00008822607,0.00013112629,0.0002956348,0.00015588036,0.00060921785,0.0005492674,0.00025229616,0.0016105705],"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":[0.0007268873,0.00024337706,0.0037384478,0.0004705354,0.0000876742,0.0008471492,0.0003132568,0.19331008,0.09460877,0.073280044,0.063575864,0.56879795],"study_design_scores_gemma":[0.00020947488,0.0007417367,0.0047048386,0.00010810292,0.00006326362,0.0007098064,0.00037985478,0.7010538,0.03163691,0.035758562,0.22458266,0.00005105174],"about_ca_topic_score_codex":0.0007328856,"about_ca_topic_score_gemma":0.0020551935,"teacher_disagreement_score":0.0075175688,"about_ca_system_score_codex":0.00027137576,"about_ca_system_score_gemma":0.00026531503,"threshold_uncertainty_score":0.025148809},"labels":[],"label_agreement":null},{"id":"W3025639719","doi":"10.3390/en13102519","title":"Parametric Process Design and Economic Analysis of Post-Combustion CO2 Capture and Compression for Coal- and Natural Gas-Fired Power Plants","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; National Research Council Canada","funders":"PetroChina Company Limited; National Natural Science Foundation of China","keywords":"Flue gas; Natural gas; Coal; Power station; Waste management; Process engineering; Carbon capture and storage (timeline); Engineering; Plant efficiency; Combustion; Environmental science; Environmental engineering; Chemistry","score_opus":0.009852152240394705,"score_gpt":0.21260235959434018,"score_spread":0.20275020735394547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025639719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7469935,0.00066946994,0.23032853,0.00018099725,0.000037599173,0.00035405823,0.00019465914,0.00018947938,0.021051815],"genre_scores_gemma":[0.98992425,0.000095602845,0.00909698,0.000005920215,0.000002790227,0.00009949212,0.00002987868,0.0000067061856,0.0007383435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994222,0.00018344584,0.000017976194,0.00006301689,0.0002103919,0.000102976934],"domain_scores_gemma":[0.99897695,0.00068793,0.00012331962,0.00005388695,0.00013520228,0.000022720455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015552546,0.0008082137,0.00077080575,0.00058538426,0.00045805261,0.0010143211,0.0006744935,0.0007368069,0.0013605788],"category_scores_gemma":[0.0023011817,0.00052394695,0.0008875051,0.00041366593,0.0005848932,0.00040105815,0.00048433634,0.0007731627,0.00011382026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072625066,0.0000435007,0.0003479513,0.00006114238,0.0000087615035,0.000029190005,0.000016311424,0.99018997,0.0035940295,0.0008128957,0.000039347084,0.0047843833],"study_design_scores_gemma":[0.0000131014485,0.00034869908,0.00057251495,0.0000040446175,0.0000134646725,0.000009582108,0.000021336708,0.99275714,0.0055692126,0.0004121414,0.00027047767,0.000008300219],"about_ca_topic_score_codex":0.0034828351,"about_ca_topic_score_gemma":0.0026483336,"teacher_disagreement_score":0.0034828351,"about_ca_system_score_codex":0.0013381675,"about_ca_system_score_gemma":0.0014228853,"threshold_uncertainty_score":0.00970912},"labels":[],"label_agreement":null},{"id":"W3025753718","doi":"10.3390/en13102467","title":"Production of Biodiesel from Castor Oil: A Review","year":2020,"lang":"en","type":"review","venue":"Energies","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales; York University","funders":"York University","keywords":"Biodiesel; Ricinoleic acid; Castor oil; Biodiesel production; Transesterification; Raw material; Diesel fuel; Pulp and paper industry; Vegetable oil; Renewable fuels; Biofuel; Vegetable oil refining; Waste management; Environmental science; Biotechnology; Chemistry; Methanol; Engineering; Food science; Organic chemistry; Catalysis; Biology","score_opus":0.04616593642313344,"score_gpt":0.28229922297022114,"score_spread":0.2361332865470877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025753718","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":[0.0011143106,0.99406695,0.00065963384,0.00015745897,0.00019841302,0.000012444435,0.00009453879,0.00002375344,0.0036725095],"genre_scores_gemma":[0.0024479034,0.995436,0.000583979,0.000073282725,0.000067966124,0.0000104697665,0.00009846618,0.0000041825197,0.0012776951],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998599,0.000012769126,0.00001829763,0.00003212078,0.00006099931,0.000015748335],"domain_scores_gemma":[0.99983585,0.00005725148,0.00003987234,0.0000070385436,0.0000455359,0.000014340346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026007433,0.0008592288,0.0009237116,0.0020883062,0.0002676119,0.0009280961,0.0005155995,0.0005665403,0.0040990533],"category_scores_gemma":[0.00030024198,0.00037667522,0.0005454084,0.0028349631,0.00021638245,0.0011607248,0.00040819487,0.0007516787,0.0023298785],"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":[0.000083103805,0.00015682144,0.00034599385,0.0714871,0.00016492541,0.0004152508,0.00011478357,0.0014508587,0.023109017,0.0049651857,0.01655726,0.8811497],"study_design_scores_gemma":[0.000006074254,0.0001148053,0.00077739253,0.002375935,0.00012253055,0.0006180062,0.000050747574,0.00018981466,0.005012689,0.0009214169,0.9897876,0.000022998314],"about_ca_topic_score_codex":0.0010639679,"about_ca_topic_score_gemma":0.0014426578,"teacher_disagreement_score":0.0040990533,"about_ca_system_score_codex":0.00035563504,"about_ca_system_score_gemma":0.00084448786,"threshold_uncertainty_score":0.013712645},"labels":[],"label_agreement":null},{"id":"W3025787400","doi":"10.3390/en13102544","title":"Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Pellets; Sorption; Moisture; Bioenergy; Humidity; Equilibrium moisture content; Water content; Thermodynamics; Chemistry; Biomass (ecology); Relative humidity; Environmental science; Materials science; Waste management; Adsorption; Agronomy; Biofuel; Composite material; Physics; Geotechnical engineering; Geology; Engineering","score_opus":0.03102528300770983,"score_gpt":0.22358938456867505,"score_spread":0.19256410156096523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025787400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98759824,0.00014866705,0.010117205,0.00004613275,0.000013376422,0.000032329805,0.0003782981,0.00007894104,0.0015868286],"genre_scores_gemma":[0.9977106,0.00007902262,0.0014770235,0.000003896892,0.0000013360532,0.00003917862,0.00014437544,0.000010092222,0.0005346415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993396,0.000012327596,0.000004370193,0.000012502586,0.00001827931,0.00001857319],"domain_scores_gemma":[0.999793,0.00011859796,0.000023044298,0.000016973467,0.000036952915,0.000011490212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002523438,0.00044853808,0.00050906115,0.00025539647,0.00026672037,0.0004499841,0.0003961084,0.0005017749,0.0012092832],"category_scores_gemma":[0.0005371768,0.00018055127,0.0004262286,0.00026496212,0.00022815725,0.000461715,0.00020815207,0.00028707105,0.00015447292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003538963,0.00012856163,0.0052224705,0.00014456267,0.000030193432,0.00017625897,0.00007301638,0.950023,0.037499037,0.0006106682,0.00020362566,0.0055346605],"study_design_scores_gemma":[0.0000112549915,0.00010173882,0.0017126653,0.0000046696646,0.000009346034,0.000015209832,0.000033937707,0.98431844,0.013508214,0.000112834125,0.0001647618,0.0000069973194],"about_ca_topic_score_codex":0.004407857,"about_ca_topic_score_gemma":0.0027306564,"teacher_disagreement_score":0.004407857,"about_ca_system_score_codex":0.0004530328,"about_ca_system_score_gemma":0.00047420405,"threshold_uncertainty_score":0.008764386},"labels":[],"label_agreement":null},{"id":"W3025810612","doi":"10.3390/en13102426","title":"Application of a GIS-Based Fuzzy Multi-Criteria Evaluation Approach for Wind Farm Site Selection in China","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Site selection; Wind power; Analytic hierarchy process; Ranking (information retrieval); Fuzzy logic; Geographic information system; Renewable energy; Computer science; Environmental resource management; Beijing; Environmental science; Operations research; Environmental economics; China; Geography; Engineering; Cartography","score_opus":0.03737363718441361,"score_gpt":0.33436291889893005,"score_spread":0.29698928171451644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025810612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6527801,0.0006173049,0.3382706,0.0002904742,0.00004526222,0.0005559806,0.00035437255,0.00024505268,0.0068408414],"genre_scores_gemma":[0.93481445,0.00018016456,0.06397716,0.0000184658,0.000007849806,0.00018985792,0.00013279573,0.000011224539,0.00066808326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980088,0.00084445626,0.00016900581,0.00019621721,0.0006200155,0.00016158512],"domain_scores_gemma":[0.9989027,0.00043386084,0.00011728266,0.000055206634,0.00040572314,0.000085222884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029583278,0.00094978476,0.0008310961,0.0044712913,0.0008609076,0.001458234,0.00084685936,0.0005447169,0.0011889504],"category_scores_gemma":[0.0032374167,0.0004779873,0.0010634328,0.0029615134,0.00056767976,0.0009080985,0.00096869515,0.00029621285,0.00008232985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025775647,0.00022169789,0.033157688,0.00063381175,0.000381281,0.0007797104,0.00085195823,0.724492,0.007717426,0.0059924517,0.0012865921,0.2242277],"study_design_scores_gemma":[0.000039532955,0.00021421348,0.011615051,0.00003710121,0.00008003085,0.00007763523,0.0006218835,0.981468,0.0018284825,0.003019591,0.0009548965,0.00004346979],"about_ca_topic_score_codex":0.028061528,"about_ca_topic_score_gemma":0.027809426,"teacher_disagreement_score":0.028061528,"about_ca_system_score_codex":0.0023198724,"about_ca_system_score_gemma":0.0031219742,"threshold_uncertainty_score":0.055796385},"labels":[],"label_agreement":null},{"id":"W3026699804","doi":"10.3390/en13102665","title":"Forced Convection in Porous Media Using Al2O3 and TiO2 Nanofluids in Differing Base Fluids","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation","keywords":"Nanofluid; Nusselt number; Ethylene glycol; Materials science; Mechanics; Heat transfer; Forced convection; Work (physics); Thermodynamics; Porous medium; Base (topology); Porosity; Chemical engineering; Composite material; Reynolds number; Mathematics; Engineering; Physics; Turbulence","score_opus":0.019029582010176998,"score_gpt":0.19816959349710303,"score_spread":0.17914001148692604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026699804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939079,0.00010431153,0.005299158,0.000028249186,0.00001298804,0.000025194593,0.000048585855,0.000052062664,0.0005214058],"genre_scores_gemma":[0.99283093,0.00006929351,0.006734266,0.000005980202,0.0000029090113,0.000018663919,0.00003158185,0.000005882302,0.0003005042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998901,0.00001679986,0.000013903461,0.000018972936,0.00003565802,0.000024588187],"domain_scores_gemma":[0.9996201,0.00020863612,0.00006611055,0.000023406224,0.000056493227,0.000025256326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040046158,0.0002680005,0.00031443857,0.00026965752,0.0003243363,0.0004841785,0.0002833785,0.00027860916,0.0003040426],"category_scores_gemma":[0.00087684643,0.00012421481,0.00034524777,0.0002226383,0.0005550621,0.00037175915,0.0003199403,0.00024230375,0.000054437067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048258342,0.00010406901,0.00310766,0.00018082214,0.000015482927,0.00010073477,0.00018813057,0.03569066,0.9526815,0.0007560362,0.00004723469,0.006645205],"study_design_scores_gemma":[0.00010209249,0.0005288176,0.0029218234,0.000011672895,0.00002431743,0.000050863557,0.000093238246,0.18449813,0.8108835,0.00025103602,0.0006079172,0.000026466776],"about_ca_topic_score_codex":0.0034344508,"about_ca_topic_score_gemma":0.0029180604,"teacher_disagreement_score":0.0034344508,"about_ca_system_score_codex":0.00056224805,"about_ca_system_score_gemma":0.00044757625,"threshold_uncertainty_score":0.006828904},"labels":[],"label_agreement":null},{"id":"W3027610032","doi":"10.3390/en13102577","title":"Impact of an Energy Monitoring System on the Energy Efficiency of an Automobile Factory: A Case Study","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"SCADA; Energy consumption; Modbus; Efficient energy use; Factory (object-oriented programming); Energy conservation; Energy management; Energy accounting; Ethernet; Engineering; Embedded system; Energy (signal processing); Automotive engineering; Software; Reliability engineering; Computer science; Operating system; Electrical engineering","score_opus":0.020391068840562028,"score_gpt":0.24411768990964192,"score_spread":0.2237266210690799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027610032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921227,0.0000826876,0.004621653,0.00011136174,0.000008601902,0.000116252224,0.00009452492,0.000112557806,0.00272971],"genre_scores_gemma":[0.9965281,0.00008536804,0.0024119564,0.000010060803,0.000003397194,0.000023367631,0.000043258082,0.000007586084,0.0008868397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988103,0.00047885993,0.000070649425,0.00013253881,0.00033097927,0.00017670351],"domain_scores_gemma":[0.9978828,0.0010907613,0.00021609527,0.00026348987,0.00041555648,0.00013129333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013005016,0.00048000863,0.00036450196,0.00068493496,0.00093014777,0.0010787377,0.00081699295,0.001064814,0.0017447352],"category_scores_gemma":[0.0018086762,0.00022809047,0.00043694544,0.00091783976,0.0004987973,0.00086305337,0.0006842816,0.00048574858,0.00029925178],"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":[0.0039608716,0.00922461,0.3266204,0.0017518877,0.00034488263,0.040572166,0.005635174,0.23431948,0.10417634,0.0060009887,0.0042977454,0.26309553],"study_design_scores_gemma":[0.0006068903,0.013348584,0.28332287,0.0002656162,0.0006281833,0.007533511,0.017554317,0.43858224,0.21084455,0.001992794,0.025003813,0.00031663015],"about_ca_topic_score_codex":0.0078936275,"about_ca_topic_score_gemma":0.0062437765,"teacher_disagreement_score":0.0078936275,"about_ca_system_score_codex":0.0012957853,"about_ca_system_score_gemma":0.0007323051,"threshold_uncertainty_score":0.015695333},"labels":[],"label_agreement":null},{"id":"W3028410222","doi":"10.3390/en13102591","title":"Modeling and Control of a Multifunctional Three-Phase Converter for Bidirectional Power Flow in Plug-In Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Controller (irrigation); Rectifier (neural networks); Control theory (sociology); Testbed; Engineering; Power factor; Boost converter; Three-phase; Computer science; Voltage; Electrical engineering; Control (management)","score_opus":0.017867213939655957,"score_gpt":0.2534887887956255,"score_spread":0.23562157485596952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028410222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036696672,0.0003754855,0.9449006,0.00015937342,0.00009700628,0.000104632236,0.000093919465,0.00039010373,0.017182212],"genre_scores_gemma":[0.97859335,0.00032518266,0.015312037,0.000023907973,0.000018355753,0.00014878069,0.000057569574,0.000019261006,0.005501601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998697,0.00002571411,0.0000070217725,0.00002861343,0.000053879583,0.000015002283],"domain_scores_gemma":[0.99990225,0.000027636617,0.000019307787,0.000009205851,0.000036005982,0.000005604047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277609,0.00053343375,0.00043819053,0.00023858697,0.00039691958,0.00093670347,0.00077268394,0.0005727529,0.0018518796],"category_scores_gemma":[0.00027693808,0.00021793306,0.0004364124,0.0001985924,0.0005035498,0.0003948697,0.00045430317,0.0006328953,0.0003412106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008689331,0.000049072765,0.000692039,0.00017079276,0.00002917979,0.00020057187,0.00011790967,0.95156556,0.017145745,0.009584335,0.0005785285,0.019779496],"study_design_scores_gemma":[0.0000060588814,0.000033187287,0.00012468951,0.000004464813,0.0000056598133,0.000014633515,0.000009323031,0.9977151,0.0009852352,0.00040950844,0.00068918464,0.0000030056347],"about_ca_topic_score_codex":0.005503545,"about_ca_topic_score_gemma":0.004569433,"teacher_disagreement_score":0.005503545,"about_ca_system_score_codex":0.00041503896,"about_ca_system_score_gemma":0.00069390493,"threshold_uncertainty_score":0.010942996},"labels":[],"label_agreement":null},{"id":"W3028600342","doi":"10.3390/en13112749","title":"Real Time Design and Implementation of State of Charge Estimators for a Rechargeable Lithium-Ion Cobalt Battery with Applicability in HEVs/EVs—A Comparative Study","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; John Abbott College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; MATLAB; Estimator; Battery (electricity); Computer science; Robustness (evolution); Lithium-ion battery; Co-simulation; Simulation; Automotive engineering; Engineering","score_opus":0.03596419724300341,"score_gpt":0.31800107220071067,"score_spread":0.28203687495770724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028600342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1991212,0.00088303693,0.7888142,0.00018203547,0.00008770365,0.00030101003,0.000117582844,0.0023327754,0.008160539],"genre_scores_gemma":[0.9724362,0.00016591967,0.025735673,0.000021714935,0.00000819015,0.00009066788,0.00005514563,0.00002899277,0.0014573421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961275,0.00008140499,0.0000290135,0.0000702332,0.00016132735,0.00004528023],"domain_scores_gemma":[0.99942255,0.00016568073,0.000095106705,0.00007668575,0.00021710242,0.000022916582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062247936,0.00049490033,0.00042677706,0.0004068982,0.00020261067,0.00079521973,0.00086986006,0.0005144111,0.00130675],"category_scores_gemma":[0.001364883,0.00017783193,0.00037874747,0.00017476216,0.00023038499,0.00041187913,0.00032185542,0.00030881053,0.00036199478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095233,0.00027208214,0.0082341675,0.0007942717,0.00016765404,0.00044433033,0.0003993283,0.68960524,0.07894631,0.004857191,0.0010737132,0.21425338],"study_design_scores_gemma":[0.00007354422,0.00064911705,0.0024336483,0.000030909207,0.0000628494,0.00012764338,0.000063518055,0.939761,0.05155935,0.00033599546,0.0048805834,0.000021880274],"about_ca_topic_score_codex":0.0035745336,"about_ca_topic_score_gemma":0.0016468993,"teacher_disagreement_score":0.0035745336,"about_ca_system_score_codex":0.0004398398,"about_ca_system_score_gemma":0.0006454176,"threshold_uncertainty_score":0.0071074367},"labels":[],"label_agreement":null},{"id":"W3032055538","doi":"10.3390/en13112716","title":"Influence of Rotation Speed and Air Pressure on the Down the Hole Drilling Velocity for Borehole Heat Exchanger Installation","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Drilling; Borehole; Heat exchanger; Geology; Lithology; Marl; Rotational speed; Rotation (mathematics); Drill bit; Drill; Petroleum engineering; Geotechnical engineering; Mechanical engineering; Engineering; Petrology; Geomorphology; Geometry","score_opus":0.01981311423852224,"score_gpt":0.22869483591360554,"score_spread":0.2088817216750833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032055538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630475,0.00024433533,0.002560112,0.000012005463,0.000015217284,0.000017099483,0.00008402985,0.00007893476,0.00068355736],"genre_scores_gemma":[0.9982457,0.00012525532,0.0012609046,0.000002832161,0.0000032400267,0.000006927406,0.000068949164,0.000020846184,0.0002653783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941564,0.00013359953,0.00005179739,0.00011912485,0.0001489295,0.00013085526],"domain_scores_gemma":[0.9953401,0.0032222422,0.0006415525,0.00023518445,0.00040721573,0.00015370002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453255,0.00059173966,0.0003715271,0.0006143425,0.00023065928,0.00068054075,0.00031706414,0.00043616846,0.0017004609],"category_scores_gemma":[0.0045150793,0.0003445962,0.00025415423,0.00048867066,0.00032301093,0.0007057381,0.00027486868,0.00028571265,0.0003254504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0066332784,0.0004373582,0.121472955,0.0008983589,0.00007317791,0.0010809489,0.0004923812,0.035891496,0.72141033,0.00025923862,0.0004740018,0.11087644],"study_design_scores_gemma":[0.00010758948,0.006950999,0.4212927,0.000083633815,0.00020039095,0.00067789765,0.0008284791,0.030058028,0.537187,0.00012736821,0.00238027,0.000105739884],"about_ca_topic_score_codex":0.0007574008,"about_ca_topic_score_gemma":0.001298065,"teacher_disagreement_score":0.0017004609,"about_ca_system_score_codex":0.00014884814,"about_ca_system_score_gemma":0.00025364876,"threshold_uncertainty_score":0.0056886077},"labels":[],"label_agreement":null},{"id":"W3032733342","doi":"10.3390/en13112764","title":"Economic Assessment of Distributed Generation Technologies: A Feasibility Study and Comparison with the Literature","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Khalifa University of Science, Technology and Research","keywords":"Internal rate of return; Environmental economics; Return on investment; Renewable energy; Depreciation (economics); Investment (military); Economics; Electricity generation; Rate of return; Capital cost; Cash flow; Business; Production (economics); Finance; Engineering; Power (physics); Microeconomics; Profit (economics)","score_opus":0.024093017603624246,"score_gpt":0.2722356965451594,"score_spread":0.24814267894153513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032733342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6576604,0.09189428,0.096842445,0.0033914042,0.00033031698,0.001110438,0.0010662406,0.00007672128,0.14762768],"genre_scores_gemma":[0.9377497,0.03918977,0.019275941,0.000097099706,0.00011932071,0.0002267594,0.0003494471,0.000016156468,0.0029759214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986796,0.0005950488,0.000060600585,0.000077170786,0.0005105079,0.000077103985],"domain_scores_gemma":[0.99563676,0.0031464074,0.00018994638,0.00011067667,0.00086385553,0.000052500145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00308999,0.0007901219,0.0007725279,0.0030893453,0.00040976115,0.0023023204,0.0007131433,0.00075574947,0.0028196014],"category_scores_gemma":[0.005407721,0.00023050606,0.0010926786,0.0029607657,0.00048532675,0.001444709,0.000621836,0.000653939,0.00024442267],"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":[0.00084960496,0.0013261033,0.01561965,0.0082383305,0.00032496863,0.0037132285,0.0003720727,0.5235104,0.00580565,0.0993165,0.005018359,0.33590516],"study_design_scores_gemma":[0.00021978503,0.0047787996,0.03618713,0.004984282,0.0009712633,0.0018986874,0.0039578537,0.80505633,0.009469539,0.067202464,0.06504578,0.00022801019],"about_ca_topic_score_codex":0.0025470303,"about_ca_topic_score_gemma":0.0024477595,"teacher_disagreement_score":0.00308999,"about_ca_system_score_codex":0.0013515056,"about_ca_system_score_gemma":0.001446345,"threshold_uncertainty_score":0.016341627},"labels":[],"label_agreement":null},{"id":"W3032752407","doi":"10.3390/en13112794","title":"Differential Flatness Based-Control Strategy of a Two-Port Bidirectional Supercapacitor Converter for Hydrogen Mobility Applications","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"King Mongkut's University of Technology North Bangkok; Université de Lorraine","keywords":"Backup; Flatness (cosmology); Energy storage; Supercapacitor; Automotive engineering; Engineering; Control theory (sociology); Renewable energy; Computer science; Control engineering; Power (physics); Electrical engineering; Control (management); Mechanical engineering","score_opus":0.02240051750105756,"score_gpt":0.2485948469823633,"score_spread":0.22619432948130574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032752407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17776673,0.00045799933,0.79061955,0.00026660744,0.00020146223,0.0002832932,0.00008179099,0.0011223082,0.02920023],"genre_scores_gemma":[0.989347,0.00007843144,0.0077920007,0.000024887846,0.000009897993,0.000055930886,0.000019663194,0.000007948817,0.0026641688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998754,0.000017005164,0.000009195321,0.000034150886,0.000042389536,0.000021792],"domain_scores_gemma":[0.9998981,0.000016725866,0.000014599123,0.000010094132,0.00005118105,0.000009448637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020829878,0.00056138803,0.00031460408,0.000282019,0.00040435212,0.0007052863,0.0008008609,0.00030608752,0.0020003933],"category_scores_gemma":[0.00019133733,0.00017929873,0.00026951256,0.00022007545,0.00033569976,0.00030778238,0.0003712787,0.00035600294,0.00026704094],"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":[0.0006978146,0.0002767926,0.0015831783,0.00061171077,0.00013645962,0.001131117,0.0005323728,0.51848114,0.23063815,0.020747492,0.0038759622,0.22128779],"study_design_scores_gemma":[0.000024150717,0.00022986904,0.00042402424,0.0000089640935,0.000019282468,0.00006134733,0.000035277386,0.98231643,0.014281786,0.00073184585,0.0018515991,0.000015405056],"about_ca_topic_score_codex":0.0047189314,"about_ca_topic_score_gemma":0.004477463,"teacher_disagreement_score":0.0047189314,"about_ca_system_score_codex":0.0003989211,"about_ca_system_score_gemma":0.00041059696,"threshold_uncertainty_score":0.009382904},"labels":[],"label_agreement":null},{"id":"W3032921815","doi":"10.3390/en13112902","title":"Forced Convection of Al2O3–Cu, TiO2–SiO2, FWCNT–Fe3O4, and ND–Fe3O4 Hybrid Nanofluid in Porous Media","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Sultan Qaboos University; Qatar Foundation","keywords":"Nanofluid; Ethylene glycol; Materials science; Nusselt number; Pressure drop; Forced convection; Porous medium; Chemical engineering; Nanoparticle; Thermodynamics; Porosity; Convection; Composite material; Nanotechnology; Reynolds number","score_opus":0.009781253037391217,"score_gpt":0.1806498278752917,"score_spread":0.1708685748379005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032921815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842936,0.00008575861,0.0012292723,0.000018898536,0.000009371751,0.000006341292,0.000028636372,0.00001828672,0.00017396016],"genre_scores_gemma":[0.99820995,0.00004960383,0.001396409,0.0000037817751,0.0000041326375,0.000009583055,0.000026286622,0.0000038713397,0.0002963171],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999031,0.000015572481,0.00000956692,0.000022983555,0.00002502536,0.000023765953],"domain_scores_gemma":[0.999811,0.00008805427,0.000044065342,0.00001234834,0.000029310657,0.00001526644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027113213,0.00021574607,0.00016413834,0.00022577877,0.00023945478,0.00024984087,0.00019989508,0.00018687929,0.0002796164],"category_scores_gemma":[0.00039294802,0.00011876249,0.00026445888,0.00015318305,0.00038732582,0.0003382394,0.00020812567,0.00022645576,0.00004905302],"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":[0.00014313891,0.000036081245,0.0008890142,0.000064388485,0.000005960254,0.000043801232,0.00011149475,0.0026670084,0.99365354,0.00032493475,0.000048080004,0.0020126442],"study_design_scores_gemma":[0.00002042782,0.00015737125,0.0014630076,0.0000049320993,0.0000065975814,0.000016244736,0.000027342512,0.04989624,0.9480503,0.00007231325,0.00027729254,0.000007922369],"about_ca_topic_score_codex":0.002023273,"about_ca_topic_score_gemma":0.0015344006,"teacher_disagreement_score":0.002023273,"about_ca_system_score_codex":0.0003781812,"about_ca_system_score_gemma":0.00026386275,"threshold_uncertainty_score":0.0040230155},"labels":[],"label_agreement":null},{"id":"W3033011650","doi":"10.3390/en13112895","title":"The Energy Performances of a Ground-to-Air Heat Exchanger: A Comparison Among Köppen Climatic Areas","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":32,"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":"HVAC; Heat exchanger; Airflow; Environmental science; Ventilation (architecture); Air conditioning; Geothermal energy; Meteorology; Geothermal gradient; Engineering; Mechanical engineering; Geography; Geology","score_opus":0.02196374172388856,"score_gpt":0.24091323194496037,"score_spread":0.2189494902210718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033011650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854904,0.000080446276,0.0005607089,0.0000029525504,0.0000015356494,0.0000030688525,0.0000781299,0.000008085333,0.0007160337],"genre_scores_gemma":[0.99919826,0.00007108285,0.00034500434,0.0000010396229,9.191052e-7,0.000005274779,0.00013318607,0.0000048310576,0.00024038031],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984777,0.00002384755,0.000008885939,0.00003781301,0.00004620469,0.000035347162],"domain_scores_gemma":[0.99989855,0.00004238288,0.000015923863,0.000015743643,0.000020750735,0.0000066246776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001383778,0.00026274385,0.00035293656,0.00063714385,0.00032927637,0.00038411882,0.00019083045,0.00024027834,0.0008955085],"category_scores_gemma":[0.00029945554,0.00009583647,0.00032022197,0.00060472236,0.00023398543,0.00030579465,0.00023844303,0.000091450034,0.00018935362],"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":[0.002530607,0.00031827824,0.2924224,0.00072595605,0.000488732,0.0018995515,0.0016778781,0.2555751,0.35638428,0.0030103405,0.00061222736,0.08435467],"study_design_scores_gemma":[0.000056748595,0.0007585221,0.77591604,0.000036647198,0.00026976672,0.00081412785,0.0025291524,0.07167816,0.14260459,0.0006080568,0.004655191,0.00007307862],"about_ca_topic_score_codex":0.005199994,"about_ca_topic_score_gemma":0.007775304,"teacher_disagreement_score":0.005199994,"about_ca_system_score_codex":0.00025755074,"about_ca_system_score_gemma":0.0001686854,"threshold_uncertainty_score":0.010339439},"labels":[],"label_agreement":null},{"id":"W3033024562","doi":"10.3390/en13112822","title":"Coupled Hydraulic Fracture and Proppant Transport Simulation","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fracture (geology); Hydraulic fracturing; Settling; Geology; Drag; Geotechnical engineering; Comminution; Inertia; Petroleum engineering; Flow (mathematics); Mechanics; Materials science; Engineering; Physics","score_opus":0.00943930824956254,"score_gpt":0.20623416260553393,"score_spread":0.19679485435597138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033024562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4523415,0.00032297132,0.52545357,0.0003331628,0.00012227299,0.00028555593,0.0016474443,0.0013061834,0.018187324],"genre_scores_gemma":[0.958334,0.00020964559,0.034516264,0.000058649082,0.00001722337,0.00026021388,0.0005217031,0.000091280956,0.0059910235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997229,0.000032684296,0.000016495731,0.000055996526,0.00011913693,0.00005279364],"domain_scores_gemma":[0.9995968,0.00018774923,0.000048673257,0.000039418006,0.00009401039,0.00003348785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038344564,0.0004924402,0.0007979893,0.0007187897,0.00053572975,0.00084084045,0.001607452,0.0017338656,0.0026936696],"category_scores_gemma":[0.0011793767,0.00040122887,0.00080333464,0.0006338439,0.00067741016,0.0007967212,0.0011178566,0.0007815519,0.00028403092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002681304,0.000024558563,0.00072956335,0.000028676843,0.000009751838,0.0000838681,0.000025104177,0.99219584,0.0026314864,0.0018361785,0.00010792195,0.0023001875],"study_design_scores_gemma":[0.000006423868,0.000016196213,0.0002821572,0.0000027031479,0.0000038442236,0.000020962752,0.000010616023,0.99809355,0.0008129678,0.00047728233,0.00026687703,0.000006298622],"about_ca_topic_score_codex":0.01827481,"about_ca_topic_score_gemma":0.0072625303,"teacher_disagreement_score":0.01827481,"about_ca_system_score_codex":0.001057565,"about_ca_system_score_gemma":0.0017277219,"threshold_uncertainty_score":0.0363369},"labels":[],"label_agreement":null},{"id":"W3033105170","doi":"10.3390/en13112880","title":"Thermal-Aware Virtual Machine Allocation for Heterogeneous Cloud Data Centers","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":25,"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":"University of Waterloo","keywords":"Data center; Heuristics; Computer science; Virtual machine; Energy consumption; Cloud computing; Resource allocation; Mathematical optimization; Heuristic; Optimization problem; Distributed computing; Greedy algorithm; Algorithm; Engineering; Artificial intelligence; Computer network; Mathematics; Operating system","score_opus":0.03337969882618743,"score_gpt":0.24674461074397253,"score_spread":0.2133649119177851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033105170","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19845547,0.0009977915,0.7956891,0.00022310328,0.000051251198,0.00007720212,0.00005898476,0.00031253643,0.004134548],"genre_scores_gemma":[0.96567076,0.0001545759,0.033619437,0.000029817838,0.000009911502,0.000023033837,0.000022075463,0.000023039329,0.00044732477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963784,0.00012542748,0.000009591566,0.00006580506,0.00007919256,0.00008210195],"domain_scores_gemma":[0.9998192,0.00007233653,0.000034176657,0.00001819568,0.000033288594,0.000022833075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044303617,0.00038722187,0.0004858185,0.0002926691,0.00035415383,0.0006444913,0.0006867157,0.00028660067,0.00069009676],"category_scores_gemma":[0.0006210577,0.00017868193,0.0002637468,0.00047513543,0.0003746754,0.00050549343,0.0004480311,0.00029106077,0.00006527053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050499413,0.000037528946,0.00045671113,0.000029603616,0.000015956586,0.000031820495,0.000015877848,0.96902275,0.0057429005,0.0028289664,0.00030847912,0.021458872],"study_design_scores_gemma":[0.000004740912,0.000021710064,0.00021611562,0.0000017516419,0.000005397125,0.000012010504,0.000013932349,0.99678016,0.0012961874,0.001387577,0.00025772478,0.0000026268715],"about_ca_topic_score_codex":0.0026103337,"about_ca_topic_score_gemma":0.0044451645,"teacher_disagreement_score":0.0026103337,"about_ca_system_score_codex":0.0008493646,"about_ca_system_score_gemma":0.0007799765,"threshold_uncertainty_score":0.006162584},"labels":[],"label_agreement":null},{"id":"W3033218710","doi":"10.3390/en13112898","title":"Integral PWR-Type Small Modular Reactor Developmental Status, Design Characteristics and Passive Features: A Review","year":2020,"lang":"en","type":"review","venue":"Energies","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"International Atomic Energy Agency","keywords":"Modular design; Pressurizer; Loss-of-coolant accident; Pressurized water reactor; Reliability engineering; Engineering; Conceptual design; Nuclear reactor; Reactor pressure vessel; Process (computing); Nuclear power; Coolant; Systems engineering; Nuclear engineering; Computer science; Mechanical engineering","score_opus":0.03174016782073653,"score_gpt":0.23248693906518422,"score_spread":0.2007467712444477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033218710","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":[0.0011801572,0.99397415,0.001614117,0.0001707567,0.00015436884,0.000017309714,0.00005430558,0.0000201734,0.0028146983],"genre_scores_gemma":[0.004785271,0.9916779,0.0017886708,0.0001906073,0.00013402691,0.00002451,0.0001248874,0.000010985851,0.0012632549],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993789,0.00006407171,0.000117738855,0.00015613163,0.00024247725,0.00004070677],"domain_scores_gemma":[0.9985989,0.00069192454,0.000277434,0.000052590545,0.00032290668,0.00005621678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157937,0.0008672766,0.0010098799,0.002638755,0.00026874972,0.0014048056,0.0013029185,0.0010643506,0.0025700391],"category_scores_gemma":[0.0018553733,0.0005383449,0.0008982611,0.0027762717,0.0005683825,0.0024539616,0.00058231835,0.0008875343,0.0012750566],"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":[0.00009876125,0.00009225291,0.0008124805,0.040053047,0.00009594998,0.00026415766,0.0001394047,0.0014586997,0.0071224733,0.007427682,0.00936955,0.93306553],"study_design_scores_gemma":[0.000012756844,0.00034459203,0.0010995577,0.0036880516,0.00024804697,0.0013845403,0.00010502609,0.00038368182,0.0052824942,0.0014615825,0.9859424,0.00004721345],"about_ca_topic_score_codex":0.0008620063,"about_ca_topic_score_gemma":0.0010335812,"teacher_disagreement_score":0.002638755,"about_ca_system_score_codex":0.00055443286,"about_ca_system_score_gemma":0.001496942,"threshold_uncertainty_score":0.008597612},"labels":[],"label_agreement":null},{"id":"W3033387172","doi":"10.3390/en13112859","title":"Combined Duval Pentagons: A Simplified Approach","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Pentagon; Centroid; Computer science; Identification (biology); Geometry; Transformer; Algorithm; Artificial intelligence; Theoretical computer science; Mathematics; Engineering; Electrical engineering","score_opus":0.01580218916663185,"score_gpt":0.19403080386694896,"score_spread":0.17822861470031712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033387172","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":[0.0058291242,0.00009708741,0.9853699,0.00004195444,0.00006143927,0.000077859855,0.00013984012,0.00074898946,0.007633786],"genre_scores_gemma":[0.09520769,0.00019997839,0.89412516,0.000081857324,0.000048702426,0.000119862765,0.0006081036,0.00035916126,0.009249522],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99894446,0.000252462,0.00005513549,0.00023195137,0.0003973033,0.0001187754],"domain_scores_gemma":[0.9993759,0.00011179856,0.00003515359,0.00021472009,0.00022541391,0.00003709519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051251723,0.0008401918,0.0010566838,0.002197736,0.00068489515,0.0021941783,0.0019654394,0.0009241429,0.010677809],"category_scores_gemma":[0.0014856884,0.0006840038,0.0015290144,0.0014366399,0.00073020236,0.0015584476,0.0019202224,0.0012288545,0.0060051354],"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":[0.00054618315,0.00012279462,0.0031744395,0.00045227955,0.00014362118,0.0012367743,0.0004894484,0.16065511,0.033221398,0.11950459,0.008819944,0.67163336],"study_design_scores_gemma":[0.000028498098,0.00012471055,0.0010139607,0.00006063873,0.000048263963,0.001132122,0.00031001095,0.89332056,0.01570969,0.031489745,0.056683306,0.000078542274],"about_ca_topic_score_codex":0.0025100138,"about_ca_topic_score_gemma":0.0037877006,"teacher_disagreement_score":0.010677809,"about_ca_system_score_codex":0.00043755962,"about_ca_system_score_gemma":0.0008494597,"threshold_uncertainty_score":0.035720825},"labels":[],"label_agreement":null},{"id":"W3033549246","doi":"10.3390/en13112825","title":"Battery Management Systems—Challenges and Some Solutions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); State of health; Automotive engineering; State of charge; Automotive battery; Reliability (semiconductor); Battery pack; Voltage; Computer science; Trickle charging; Reliability engineering; Engineering; Power (physics); Electrical engineering","score_opus":0.04486042404347749,"score_gpt":0.23657076039400218,"score_spread":0.1917103363505247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033549246","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008361766,0.6168156,0.23797473,0.06982682,0.005375678,0.00023152916,0.00019219253,0.00085259427,0.06036906],"genre_scores_gemma":[0.19085084,0.5634751,0.16444176,0.009238309,0.012994614,0.00047116904,0.0007470361,0.00020665409,0.057574596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992526,0.00015567051,0.00006674159,0.00014826939,0.0003002056,0.00007652946],"domain_scores_gemma":[0.99892277,0.00027472168,0.00006815712,0.00009152747,0.0005476492,0.000095152194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015000713,0.0007910866,0.0006930081,0.00092095876,0.00086093723,0.0034856945,0.0020759788,0.0035794417,0.005810317],"category_scores_gemma":[0.0017220393,0.00040280458,0.000599785,0.001243236,0.0009567518,0.0053526205,0.0021000337,0.0025980982,0.0023826156],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009769566,0.00031031837,0.0010481069,0.0023062709,0.00008984418,0.0003179177,0.0002974256,0.022718675,0.0033411533,0.16198577,0.059592944,0.7478938],"study_design_scores_gemma":[0.0000510765,0.00044331132,0.001329236,0.002513913,0.00006881319,0.0012424985,0.0016471602,0.11274772,0.0022939895,0.2198475,0.6576818,0.0001330123],"about_ca_topic_score_codex":0.0010691126,"about_ca_topic_score_gemma":0.00090508815,"teacher_disagreement_score":0.005810317,"about_ca_system_score_codex":0.000763421,"about_ca_system_score_gemma":0.0011047771,"threshold_uncertainty_score":0.019437432},"labels":[],"label_agreement":null},{"id":"W3034578284","doi":"10.3390/en13123118","title":"Digging Trajectory Optimization for Cable Shovel Robotic Excavation Based on a Multi-Objective Genetic Algorithm","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"ShanXi Science and Technology Department; National Natural Science Foundation of China","keywords":"Digging; Shovel; Payload (computing); Trajectory; Excavator; Engineering; Energy consumption; Genetic algorithm; Excavation; Rope; Trajectory optimization; Computer science; Simulation; Structural engineering; Mechanical engineering; Geotechnical engineering","score_opus":0.017553786312365732,"score_gpt":0.20125970297130089,"score_spread":0.18370591665893515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034578284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1627736,0.0003530501,0.8317202,0.00017095155,0.00003772656,0.00008636272,0.000053870273,0.00036677823,0.0044375705],"genre_scores_gemma":[0.86848974,0.00021563096,0.12758513,0.000068842615,0.000011616084,0.00022026402,0.00012581999,0.000037261547,0.0032457775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998518,0.0000349292,0.000008343241,0.000034753957,0.00003879762,0.00003125496],"domain_scores_gemma":[0.99981767,0.00009126799,0.00002290866,0.000008639947,0.000048669062,0.000010943196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043817193,0.0006590029,0.000597832,0.00053146307,0.00032180143,0.00056783255,0.00056406524,0.00080221886,0.0009414694],"category_scores_gemma":[0.0007146574,0.00034383734,0.0005236364,0.0004626481,0.00033392917,0.0003537887,0.00044008283,0.00048988,0.00009075496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019099027,0.000021204036,0.0004747441,0.000020557849,0.000014447765,0.000027375343,0.00002558866,0.98438305,0.0011615575,0.00065930176,0.00016206296,0.013031034],"study_design_scores_gemma":[0.000006236418,0.000018056327,0.000107532825,0.0000018761444,0.0000037957902,0.000004204944,0.0000066197986,0.9993899,0.00021390963,0.00014253272,0.000103440136,0.000001970532],"about_ca_topic_score_codex":0.012663859,"about_ca_topic_score_gemma":0.00763704,"teacher_disagreement_score":0.012663859,"about_ca_system_score_codex":0.00059805886,"about_ca_system_score_gemma":0.0012539583,"threshold_uncertainty_score":0.02518034},"labels":[],"label_agreement":null},{"id":"W3034664140","doi":"10.3390/en13123093","title":"Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":13,"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":"Lawrence Berkeley National Laboratory; Office of Science; Canada Excellence Research Chairs, Government of Canada; California Energy Commission; U.S. Department of Energy","keywords":"Grid; Distributed generation; HVAC; Flexibility (engineering); Photovoltaic system; Computer science; Reliability engineering; Model predictive control; Energy storage; Microgrid; Software; Demand response; Automotive engineering; Engineering; Control (management); Renewable energy; Operating system; Air conditioning; Electrical engineering; Electricity","score_opus":0.009708172812006578,"score_gpt":0.1971296790752176,"score_spread":0.18742150626321102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034664140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0433974,0.00042168735,0.8649478,0.00034638165,0.0001771862,0.0002708141,0.0013033313,0.06975645,0.01937905],"genre_scores_gemma":[0.707744,0.0005206757,0.27399135,0.00023810212,0.00008192093,0.0006264313,0.002742867,0.0043016523,0.009752946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998068,0.00004129204,0.000010602257,0.000038023732,0.000079897836,0.000023414437],"domain_scores_gemma":[0.9997428,0.00011926208,0.000032466487,0.000035443667,0.00004779944,0.000022319657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046231615,0.0011288916,0.00049584,0.00031752454,0.00027099438,0.0005720273,0.000997627,0.00047716565,0.007591576],"category_scores_gemma":[0.0010236874,0.00046051765,0.00059250154,0.00021529935,0.00036546544,0.0005024337,0.0008637065,0.0012348131,0.0012148301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021479491,0.00016296664,0.0012650103,0.00021650271,0.000108965156,0.00013301264,0.000082717284,0.90902567,0.008109036,0.006427252,0.012476944,0.061777122],"study_design_scores_gemma":[0.000035412675,0.000036427926,0.0001695429,0.0000055713413,0.0000069428706,0.000011151895,0.0000050121544,0.99369806,0.0017617226,0.0012651543,0.0029970985,0.000007906988],"about_ca_topic_score_codex":0.006158167,"about_ca_topic_score_gemma":0.005926064,"teacher_disagreement_score":0.007591576,"about_ca_system_score_codex":0.0003544556,"about_ca_system_score_gemma":0.00078146183,"threshold_uncertainty_score":0.025396347},"labels":[],"label_agreement":null},{"id":"W3034829897","doi":"10.3390/en13123043","title":"Management and Performance Control Analysis of Hybrid Photovoltaic Energy Storage System under Variable Solar Irradiation","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":17,"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":"Agence Universitaire de la Francophonie","keywords":"Photovoltaic system; Maximum power point tracking; Supercapacitor; Energy storage; Microgrid; Battery (electricity); Control theory (sociology); Maximum power principle; Energy management; Automotive engineering; Power (physics); Computer science; Engineering; Renewable energy; Electrical engineering; Energy (signal processing); Control (management); Physics; Voltage; Capacitance","score_opus":0.007531630733349748,"score_gpt":0.1899275592712461,"score_spread":0.18239592853789635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034829897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6012003,0.0014527611,0.36807314,0.00055993063,0.00008186097,0.000119084085,0.00015363314,0.00066614256,0.0276931],"genre_scores_gemma":[0.99858934,0.00006720931,0.00069237466,0.000005987039,0.0000044334165,0.000014299389,0.000010971483,0.000005041852,0.0006104308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998117,0.000054067572,0.000010842521,0.00003604044,0.00005391768,0.00003350393],"domain_scores_gemma":[0.9997931,0.00007846903,0.000043343272,0.000012850573,0.00006345157,0.000008750401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038878652,0.00042016344,0.0004908988,0.00020967647,0.0003631633,0.0008247611,0.00032636328,0.00029777669,0.0013877407],"category_scores_gemma":[0.00046045118,0.00013563714,0.00029947498,0.00021262931,0.00031143482,0.00034389223,0.0003149216,0.00029806612,0.00012465313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021756707,0.000042525822,0.0014664885,0.00012871627,0.000057728263,0.00013827441,0.00009442327,0.96589494,0.013111018,0.0023730935,0.00049030135,0.01598497],"study_design_scores_gemma":[0.00000499964,0.00007568497,0.0006075433,0.0000030567026,0.000010058527,0.000012693724,0.000017021692,0.99769175,0.0012184592,0.00024810346,0.000107621134,0.0000029704352],"about_ca_topic_score_codex":0.0047946777,"about_ca_topic_score_gemma":0.0030238647,"teacher_disagreement_score":0.0047946777,"about_ca_system_score_codex":0.00055410643,"about_ca_system_score_gemma":0.0003412251,"threshold_uncertainty_score":0.009533584},"labels":[],"label_agreement":null},{"id":"W3035021481","doi":"10.3390/en13123083","title":"Connecting Parking Facilities to the Electric Grid: A Vehicle-to-Grid Feasibility Study in a Railway Station’s Car Park","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Grid; Charging station; Electric vehicle; Parking lot; Automotive engineering; Vehicle-to-grid; Photovoltaic system; Electricity; Parking guidance and information; Engineering; Grid connection; Smart grid; Energy (signal processing); Transport engineering; Computer science; Electrical engineering; Civil engineering; Power (physics)","score_opus":0.01757915505890308,"score_gpt":0.22965657030793857,"score_spread":0.21207741524903548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035021481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979645,0.000005165743,0.0010008733,0.000026508615,0.000002650668,0.000049956474,0.000033236192,0.000016311871,0.00090091093],"genre_scores_gemma":[0.9987148,0.000010080399,0.0008436344,0.0000049476866,0.0000014745847,0.000017388522,0.000048267837,0.000002371247,0.00035711305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921834,0.00041322858,0.000026597692,0.0000924555,0.00010011716,0.00014927077],"domain_scores_gemma":[0.9982864,0.0009009107,0.000110747606,0.000098997545,0.00033278903,0.00027015054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011208213,0.00058640086,0.000498012,0.0005781309,0.0008732387,0.00087781035,0.0010498835,0.0014835699,0.0022625423],"category_scores_gemma":[0.0015883452,0.0003796443,0.0005993462,0.00047390512,0.0006378855,0.0012988262,0.000612528,0.0005752454,0.0002681403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048012612,0.0083421795,0.120271035,0.00045703654,0.0002725146,0.01143843,0.0017715233,0.7876134,0.033476453,0.0052669016,0.0014009112,0.02488835],"study_design_scores_gemma":[0.0007455896,0.011284623,0.03595024,0.000027990092,0.00016889976,0.00075726595,0.007654244,0.92688125,0.014045006,0.0011455489,0.0012598786,0.000079549805],"about_ca_topic_score_codex":0.015355686,"about_ca_topic_score_gemma":0.015422547,"teacher_disagreement_score":0.015355686,"about_ca_system_score_codex":0.0011718911,"about_ca_system_score_gemma":0.0011018693,"threshold_uncertainty_score":0.030532598},"labels":[],"label_agreement":null},{"id":"W3035562509","doi":"10.3390/en13123104","title":"Testing the Environmental Kuznets Curve Hypothesis in North America’s Free Trade Agreement (NAFTA) Countries","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":36,"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; Université du Québec à Montréal","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Kuznets curve; Granger causality; Economics; Greenhouse gas; Exergy; Ordinary least squares; Gross domestic product; Renewable energy; Econometrics; Macroeconomics; Engineering; Ecology; Biology","score_opus":0.03409766404190424,"score_gpt":0.17397557528305096,"score_spread":0.13987791124114674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035562509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809006,0.00043498725,0.001633225,0.0006409283,0.00004303206,0.000043868997,0.0006866403,0.00002512069,0.015591665],"genre_scores_gemma":[0.9974776,0.00020299945,0.000552024,0.00009782012,0.00002748043,0.00005737478,0.0010013786,0.0000123502705,0.0005709746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958294,0.0018726822,0.00023843498,0.0008899258,0.0007158752,0.00045362496],"domain_scores_gemma":[0.95206624,0.032759026,0.008354207,0.0020708223,0.003757636,0.0009922105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008186454,0.0004094638,0.0005987227,0.0025384196,0.0010857271,0.00296778,0.0006945649,0.0008849078,0.0061973],"category_scores_gemma":[0.029481372,0.00023286548,0.001380262,0.0048209266,0.0021360372,0.0020000355,0.0016847396,0.0010787761,0.00053951173],"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":[0.00048774367,0.00034738315,0.9477318,0.000136458,0.0005617483,0.00045435707,0.0016676952,0.0066171256,0.00022109514,0.021136684,0.0033921616,0.01724586],"study_design_scores_gemma":[0.00014558641,0.0005093822,0.9379511,0.00025256755,0.0004055961,0.00013907075,0.016479915,0.01708987,0.00057105755,0.015471226,0.010929607,0.000054969805],"about_ca_topic_score_codex":0.033607945,"about_ca_topic_score_gemma":0.012544725,"teacher_disagreement_score":0.033607945,"about_ca_system_score_codex":0.0015992518,"about_ca_system_score_gemma":0.0023938527,"threshold_uncertainty_score":0.066824675},"labels":[],"label_agreement":null},{"id":"W3035882617","doi":"10.3390/en13123158","title":"Investigating the Interrelationships among Occupant Attitude, Knowledge and Behaviour in LEED-Certified Buildings Using Structural Equation Modelling","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"George Brown College","funders":"","keywords":"Structural equation modeling; Certification; Energy consumption; Consumption (sociology); Environmental economics; Environmental design; Psychology; Architectural engineering; Business; Engineering; Mathematics; Economics; Civil engineering; Statistics; Sociology","score_opus":0.07884624855730261,"score_gpt":0.28078889075940927,"score_spread":0.20194264220210667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035882617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861073,0.000030404099,0.00078192394,0.000084930834,0.0000031078202,0.000023621515,0.00012237414,0.0000050007866,0.00033793465],"genre_scores_gemma":[0.99822754,0.00004665818,0.0011110952,0.000017273327,0.0000021583228,0.000044592256,0.00025642457,0.0000018206559,0.00029248683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984091,0.0008744583,0.00011835228,0.00019431359,0.00020204086,0.00020181785],"domain_scores_gemma":[0.99467176,0.003876531,0.0007166425,0.00020709493,0.0003525287,0.00017545221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027217062,0.00056528323,0.00048281287,0.0015571904,0.0005710998,0.0012943606,0.00083783484,0.0008126698,0.0023482721],"category_scores_gemma":[0.005773862,0.0004316846,0.001435405,0.0013071545,0.0005393593,0.00083943276,0.0014178657,0.0009638729,0.00024131467],"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":[0.000070904774,0.0005493038,0.98375493,0.000065516564,0.00026265226,0.00013336832,0.0032214082,0.0045504672,0.00042874942,0.0005274032,0.00013157792,0.0063037807],"study_design_scores_gemma":[0.000022116543,0.0004966633,0.90971553,0.00013030748,0.00024129909,0.00010805547,0.0086052045,0.07866013,0.00047307007,0.0007492176,0.0007597061,0.00003875752],"about_ca_topic_score_codex":0.03380741,"about_ca_topic_score_gemma":0.03898444,"teacher_disagreement_score":0.03380741,"about_ca_system_score_codex":0.0014399814,"about_ca_system_score_gemma":0.0016951236,"threshold_uncertainty_score":0.067221224},"labels":[],"label_agreement":null},{"id":"W3036398668","doi":"10.3390/en13123151","title":"Multi-Criteria Examination of Power-to-Gas Pathways under Stochastic Preferences","year":2020,"lang":"en","type":"article","venue":"Energies","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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Power to gas; Renewable energy; Base load power plant; Computer science; Reliability engineering; Analytic hierarchy process; Electricity generation; Power (physics); Electric power system; Environmental economics; Process engineering; Operations research; Engineering; Distributed generation; Economics; Electrical engineering; Chemistry","score_opus":0.04881273873394401,"score_gpt":0.25351119839621905,"score_spread":0.20469845966227504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036398668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77329946,0.0005338661,0.2050879,0.0009011844,0.00006018402,0.0009014736,0.00062073057,0.00006085008,0.018534359],"genre_scores_gemma":[0.9689859,0.00017740554,0.029316617,0.000035391586,0.000012549434,0.0002047676,0.00012435096,0.000008867384,0.0011340883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935935,0.0040182048,0.00020865347,0.0003858389,0.0011396161,0.0006542206],"domain_scores_gemma":[0.9857523,0.011326385,0.0009333764,0.00020610933,0.0012850901,0.00049670454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010753465,0.0013507812,0.0012899825,0.0040582907,0.0011041105,0.0036813759,0.0009920247,0.0013420851,0.0026569888],"category_scores_gemma":[0.015882926,0.0004890898,0.0023039214,0.0025384726,0.0011833891,0.0015707308,0.0013846615,0.0012110515,0.00010205997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002992783,0.000195919,0.005602261,0.0002783349,0.0003138717,0.00062710344,0.0003013734,0.9582375,0.0013685551,0.020324033,0.000501698,0.011949952],"study_design_scores_gemma":[0.000022895692,0.00033388563,0.002824919,0.00004729385,0.00006846685,0.0000665093,0.0005117328,0.98541427,0.00047640948,0.009763958,0.00043351686,0.00003609949],"about_ca_topic_score_codex":0.011091595,"about_ca_topic_score_gemma":0.0072476557,"teacher_disagreement_score":0.011091595,"about_ca_system_score_codex":0.004247494,"about_ca_system_score_gemma":0.0025966973,"threshold_uncertainty_score":0.05687046},"labels":[],"label_agreement":null},{"id":"W3036469720","doi":"10.3390/en13123257","title":"Assessing and Mitigating Impacts of Electric Vehicle Harmonic Currents on Distribution Systems","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Distribution transformer; Photovoltaic system; Transformer; Electrical engineering; Interfacing; Voltage; Electric vehicle; Engineering; Power quality; Electronic engineering; State of charge; Automotive engineering; Computer science; Power (physics); Battery (electricity); Physics","score_opus":0.026418209888058847,"score_gpt":0.2854000511055599,"score_spread":0.258981841217501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036469720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6174702,0.00030779222,0.37731114,0.000089589055,0.000026196218,0.000118561205,0.000052533305,0.00025559886,0.004368325],"genre_scores_gemma":[0.97227377,0.00012144603,0.027086977,0.000008722301,0.000008042398,0.000009701632,0.000029988674,0.00001300993,0.0004483797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997391,0.000071664304,0.000011035491,0.000028696697,0.00012414453,0.000025311805],"domain_scores_gemma":[0.99942505,0.00023333078,0.000112487476,0.000036430876,0.00017504123,0.000017730052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006210192,0.00058504957,0.00024288129,0.000687821,0.00015536456,0.00056774117,0.00023088572,0.0002731135,0.00035117168],"category_scores_gemma":[0.0016440941,0.00017258571,0.0001760708,0.00025947273,0.00018594986,0.0006657518,0.00034930618,0.00027152122,0.000061153245],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021004965,0.00014221104,0.02046855,0.00016188403,0.00008779485,0.00010627838,0.00010419872,0.68654364,0.055322748,0.001985535,0.0004003721,0.23446667],"study_design_scores_gemma":[0.000020724485,0.00043257454,0.021011028,0.000018128061,0.0000752633,0.000059666458,0.00012349956,0.9389853,0.036946554,0.0013415944,0.0009657757,0.00001992374],"about_ca_topic_score_codex":0.002467369,"about_ca_topic_score_gemma":0.0039055527,"teacher_disagreement_score":0.002467369,"about_ca_system_score_codex":0.00036375094,"about_ca_system_score_gemma":0.00055134343,"threshold_uncertainty_score":0.0049060583},"labels":[],"label_agreement":null},{"id":"W3036710076","doi":"10.3390/en13123172","title":"Effect of the Particle Size on the Near-Wall Turbulence Characteristics of the Polymer Fluid Flow and the Critical Velocity Required for Particle Removal from the Sand Bed Deposited in Horizontal Wells","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Mechanics; Drilling fluid; Particle image velocimetry; Particle (ecology); Critical ionization velocity; Reynolds number; Particle size; Flow velocity; Geotechnical engineering; Flow (mathematics); Particle velocity; Materials science; Geology; Drilling; Physics","score_opus":0.006588882545599269,"score_gpt":0.19334892664273673,"score_spread":0.18676004409713745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036710076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99917656,0.0001423146,0.00043662876,0.0000071938703,0.000007739846,0.000008074259,0.00002255034,0.000009946143,0.00018903962],"genre_scores_gemma":[0.9988009,0.00014683575,0.0007485871,0.000010891077,0.0000035306732,0.000008891106,0.000037719892,0.0000069398307,0.00023564952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997454,0.000032168722,0.000027360722,0.00005080969,0.00008981568,0.00005436039],"domain_scores_gemma":[0.9988123,0.00057449884,0.0002673602,0.000051617448,0.00019163196,0.00010274012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030151018,0.00027621427,0.00029543473,0.0002652652,0.00018313088,0.0003678777,0.00014729013,0.00024909092,0.0006585107],"category_scores_gemma":[0.0010598206,0.00019049885,0.00026267022,0.000138969,0.00030548288,0.0003079171,0.00018545761,0.00028816817,0.000106900916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003538908,0.000073549294,0.0016857153,0.00006006308,0.000007986421,0.00006444547,0.00003504481,0.0005477076,0.9946372,0.000028619384,0.000021121052,0.0024846736],"study_design_scores_gemma":[0.000015234569,0.0013850984,0.020248227,0.0000058652554,0.000025677722,0.000039935385,0.00007096421,0.0015333182,0.9763847,0.000017132968,0.00026166037,0.000012187016],"about_ca_topic_score_codex":0.0013500764,"about_ca_topic_score_gemma":0.0016384559,"teacher_disagreement_score":0.0013500764,"about_ca_system_score_codex":0.0002562531,"about_ca_system_score_gemma":0.00027140343,"threshold_uncertainty_score":0.002684474},"labels":[],"label_agreement":null},{"id":"W3036876777","doi":"10.3390/en13123184","title":"A Laboratory Workflow for Characterization of Scaling Deposits in Thermal Wells","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Energy; University of Alberta","funders":"RGL Reservoir Management; Mitacs","keywords":"Scaling; Calcite; Mineralogy; Characterization (materials science); Corrosion; Chemistry; Aragonite; Scanning electron microscope; Materials science; Metallurgy; Nanotechnology; Composite material","score_opus":0.014898613436965934,"score_gpt":0.22201280490608175,"score_spread":0.2071141914691158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036876777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15524109,0.00037892268,0.78220713,0.0003419982,0.00015634928,0.002626605,0.011448423,0.040415067,0.0071844687],"genre_scores_gemma":[0.30766046,0.0005495725,0.6754552,0.00026174381,0.00006029697,0.0029415574,0.0077390997,0.0017923802,0.0035396363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981529,0.00012930366,0.0001744359,0.0006043586,0.0007738402,0.00016521954],"domain_scores_gemma":[0.99770445,0.00041798997,0.0002828796,0.000485299,0.0009501272,0.0001592722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026291283,0.0013905884,0.001128902,0.0026608682,0.00091559545,0.0013394208,0.0014747004,0.000706201,0.0065321317],"category_scores_gemma":[0.0026421454,0.00061664113,0.0010650718,0.0013109666,0.00060525775,0.0011006345,0.001681181,0.000990908,0.0032465698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006151232,0.00037804898,0.02301257,0.00096678094,0.000082870036,0.0009613794,0.001027261,0.008600122,0.8130208,0.0017214513,0.006264639,0.14334893],"study_design_scores_gemma":[0.00009910329,0.0007097614,0.035921328,0.0001967952,0.00015004164,0.00071727776,0.0011325612,0.12099208,0.79437953,0.003390307,0.04204157,0.00026967126],"about_ca_topic_score_codex":0.0035151995,"about_ca_topic_score_gemma":0.0048420886,"teacher_disagreement_score":0.0065321317,"about_ca_system_score_codex":0.00071824907,"about_ca_system_score_gemma":0.0020955997,"threshold_uncertainty_score":0.021852136},"labels":[],"label_agreement":null},{"id":"W3037019975","doi":"10.3390/en13123264","title":"Rapid Wear Modelling in a Slurry Pump Using Soft 3D Impeller Material","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Impeller; Rotational speed; Materials science; Slurry; Abrasive; Mechanical engineering; Head (geology); Hydraulic pump; Parametric statistics; Mechanics; Engineering; Composite material; Physics","score_opus":0.03608727893344992,"score_gpt":0.2310635318856239,"score_spread":0.19497625295217397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037019975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77970165,0.0004131916,0.21411557,0.00009782305,0.000047831312,0.00015595614,0.0005362713,0.00070727686,0.004224502],"genre_scores_gemma":[0.9693954,0.00025778307,0.028580025,0.000014484175,0.0000055484743,0.000072611336,0.0001386242,0.000036388705,0.0014992295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998221,0.00002853027,0.000019411622,0.000027057396,0.00008096519,0.000021971406],"domain_scores_gemma":[0.99959344,0.00020635672,0.000058647667,0.00006724867,0.000060330833,0.000014080286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039893744,0.00046320012,0.00042540522,0.0005962498,0.00024580923,0.0009631013,0.00092080294,0.001020795,0.001246781],"category_scores_gemma":[0.00077959563,0.0004148993,0.0010197681,0.0003720912,0.0004142241,0.00043182186,0.00040289693,0.00043522482,0.00026005277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001148421,0.000068503905,0.0035185379,0.00011200529,0.000022052203,0.0002091804,0.00015902925,0.95996565,0.023150276,0.0006106257,0.00011756652,0.011951864],"study_design_scores_gemma":[0.0000054560746,0.000058931288,0.0012352276,0.000004672404,0.0000055679543,0.000045046632,0.00002174695,0.99547774,0.0027066225,0.00008762759,0.00034192728,0.00000944607],"about_ca_topic_score_codex":0.0053275866,"about_ca_topic_score_gemma":0.0038732009,"teacher_disagreement_score":0.0053275866,"about_ca_system_score_codex":0.0003711044,"about_ca_system_score_gemma":0.0004473325,"threshold_uncertainty_score":0.010593116},"labels":[],"label_agreement":null},{"id":"W3037025244","doi":"10.3390/en13133300","title":"Analysis of Inter-Temporal Change in the Energy and CO2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Data envelopment analysis; Economics; Restructuring; Consumption (sociology); China; Sample (material); Population; Distribution (mathematics); Economy; Income distribution; Production (economics); Macroeconomics; Inequality; Geography; Statistics","score_opus":0.09117447753080306,"score_gpt":0.34667506831303574,"score_spread":0.2555005907822327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037025244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59173,0.0005176337,0.39960125,0.00028781916,0.000027411079,0.00020828356,0.0009595852,0.00009090812,0.006577028],"genre_scores_gemma":[0.92842144,0.0003462569,0.06911753,0.000022216245,0.0000074807735,0.00019541975,0.0005411528,0.0000183955,0.0013300872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866104,0.00068609504,0.00008195214,0.00024665784,0.00021120088,0.00011310742],"domain_scores_gemma":[0.9974195,0.0017481806,0.00034437768,0.00019028828,0.00025282826,0.00004489054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028165341,0.00073632924,0.00087997015,0.002524536,0.0004198888,0.0016019423,0.0004926606,0.00054867845,0.0011490209],"category_scores_gemma":[0.0054514483,0.00033394253,0.0016341452,0.0030076928,0.00043039952,0.0015377443,0.0009867653,0.00075817347,0.00012577896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010637188,0.00012396419,0.022446591,0.000094206654,0.00045361038,0.00010783617,0.00019179707,0.9246441,0.0019855218,0.02071162,0.0002433646,0.028891014],"study_design_scores_gemma":[0.000005134139,0.000039348917,0.011014607,0.000009510794,0.000035512963,0.000022266067,0.00015123693,0.98119855,0.0008790793,0.005766336,0.00086022564,0.000018155884],"about_ca_topic_score_codex":0.013110027,"about_ca_topic_score_gemma":0.009255154,"teacher_disagreement_score":0.013110027,"about_ca_system_score_codex":0.002374355,"about_ca_system_score_gemma":0.000876415,"threshold_uncertainty_score":0.026067436},"labels":[],"label_agreement":null},{"id":"W3038079835","doi":"10.3390/en13123267","title":"Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Opal-Rt Technologies (Canada); Natural Resources Canada","funders":"Bundesministerium für Wirtschaft und Energie","keywords":"Hardware-in-the-loop simulation; Interoperability; Smart grid; Electric power system; Reliability (semiconductor); Systems engineering; Embedded system; Computer science; Power electronics; Engineering; Power (physics); Electrical engineering; Operating system","score_opus":0.10312518968383998,"score_gpt":0.37998563327584123,"score_spread":0.27686044359200124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038079835","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017933145,0.27576688,0.66633016,0.0017742461,0.00063235854,0.00062876847,0.00047460667,0.0016705485,0.03478929],"genre_scores_gemma":[0.19231993,0.2953656,0.4968709,0.0009922397,0.0006441399,0.0011650353,0.0014614484,0.00079254096,0.010388267],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928266,0.0020672702,0.0005712986,0.00058658404,0.0038017954,0.00014657024],"domain_scores_gemma":[0.985647,0.00773247,0.0011067957,0.0013942072,0.0039345007,0.00018492444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007037533,0.0011617584,0.0012640336,0.006126755,0.00044045385,0.0023734956,0.0016566301,0.0010270062,0.002314179],"category_scores_gemma":[0.009805807,0.00059527595,0.0008260214,0.005196645,0.0014066303,0.0031851896,0.0008745881,0.0010847739,0.0012376067],"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":[0.00011731315,0.0002060666,0.0027440223,0.0042293235,0.00006223067,0.00008000137,0.00042711248,0.007166714,0.010426205,0.014328181,0.0051746774,0.95503813],"study_design_scores_gemma":[0.000117035604,0.0019023623,0.010013752,0.0075748004,0.00024746917,0.0025339455,0.0015324948,0.062449943,0.0809917,0.025833098,0.80633724,0.00046608923],"about_ca_topic_score_codex":0.001185395,"about_ca_topic_score_gemma":0.0011370898,"teacher_disagreement_score":0.007037533,"about_ca_system_score_codex":0.0009709686,"about_ca_system_score_gemma":0.0015774088,"threshold_uncertainty_score":0.03721851},"labels":[],"label_agreement":null},{"id":"W3038300074","doi":"10.3390/en13133472","title":"Gassing Tendency of Fresh and Aged Mineral Oil and Ester Fluids under Electrical and Thermal Fault Conditions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Dissolved gas analysis; Mineral oil; Fault (geology); Degradation (telecommunications); Transformer oil; Electric arc; Partial discharge; Materials science; Environmental science; Petroleum engineering; Chemistry; Transformer; Geology; Metallurgy; Electrical engineering; Engineering; Voltage","score_opus":0.009955982285655751,"score_gpt":0.20949564993080536,"score_spread":0.1995396676451496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038300074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987919,0.00019289962,0.00067874964,0.000010466143,0.0000036067447,0.0000033080528,0.0001036685,0.000015742424,0.00019981901],"genre_scores_gemma":[0.99910057,0.00013492635,0.00044464698,0.000004383771,0.0000014085474,0.0000032271073,0.00008651797,0.0000031972427,0.00022105171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988747,0.000017741706,0.000011356251,0.000026065267,0.00003567524,0.000021744972],"domain_scores_gemma":[0.9998017,0.00005991522,0.00006452822,0.000016405767,0.000040800576,0.000016802285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013771227,0.00018946758,0.00013455583,0.00032518958,0.000107058324,0.00020600838,0.00014409667,0.00022028752,0.000603718],"category_scores_gemma":[0.00038992695,0.0000700531,0.00016061809,0.00023430532,0.00023761352,0.00034924125,0.00014728283,0.00017696066,0.00008987565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035290234,0.000027009542,0.00748076,0.000057628215,0.0000118922435,0.00016752488,0.00012692198,0.0009822495,0.98521334,0.000071886694,0.00003321274,0.0054747458],"study_design_scores_gemma":[0.0000033884542,0.00039453318,0.014194868,0.0000041845096,0.00001179011,0.00018372947,0.00020116403,0.0033226162,0.98129624,0.00004061163,0.00033830153,0.000008609368],"about_ca_topic_score_codex":0.0008240211,"about_ca_topic_score_gemma":0.00068788655,"teacher_disagreement_score":0.0008240211,"about_ca_system_score_codex":0.00015357308,"about_ca_system_score_gemma":0.0000859877,"threshold_uncertainty_score":0.0020195842},"labels":[],"label_agreement":null},{"id":"W3038532416","doi":"10.3390/en13133444","title":"Can Effects of Temperature on Two-Phase Gas/Oil-Relative Permeabilities in Porous Media Be Ignored? A Critical Analysis","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","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; China National Offshore Oil Corporation","keywords":"Relative permeability; Petroleum engineering; Porous medium; Multiphase flow; Fluid dynamics; Thermodynamics; Environmental science; Chemistry; Geology; Porosity; Geotechnical engineering; Physics","score_opus":0.007007471983540159,"score_gpt":0.2518251064088227,"score_spread":0.24481763442528257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038532416","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07131104,0.8624105,0.03912777,0.008391571,0.0010271928,0.00005591505,0.00015522113,0.00011905564,0.017401822],"genre_scores_gemma":[0.42726684,0.5616657,0.005443915,0.0013645214,0.0010518944,0.00007118621,0.00009045768,0.00007072687,0.0029747619],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917245,0.00021359914,0.000053767093,0.0001678765,0.00029783894,0.000094433686],"domain_scores_gemma":[0.9973636,0.0019729764,0.00024289069,0.00008666929,0.0003069097,0.000026928568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016457598,0.00055641145,0.0010727865,0.001204268,0.00034093473,0.0015634699,0.0008600832,0.0011955058,0.0010497986],"category_scores_gemma":[0.0047205687,0.00049736706,0.000780366,0.0007893528,0.0017290455,0.00404127,0.0006670868,0.0017510634,0.00042873513],"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":[0.0010660677,0.00025976112,0.008798789,0.031920657,0.0009855673,0.002587779,0.0017893254,0.0512313,0.13975304,0.19805504,0.009546449,0.5540063],"study_design_scores_gemma":[0.00008145201,0.0021270828,0.033679355,0.00687203,0.0017405803,0.0024510035,0.002809149,0.08809485,0.2857919,0.29716715,0.27852294,0.0006625581],"about_ca_topic_score_codex":0.0019052213,"about_ca_topic_score_gemma":0.0010162203,"teacher_disagreement_score":0.0019052213,"about_ca_system_score_codex":0.0008226705,"about_ca_system_score_gemma":0.00070317386,"threshold_uncertainty_score":0.008703709},"labels":[],"label_agreement":null},{"id":"W3038794706","doi":"10.3390/en13133463","title":"Techno-Economic Analysis of Pressurized Oxy-Fuel Combustion of Petroleum Coke","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"King Abdullah University of Science and Technology","keywords":"Petroleum coke; Cost of electricity by source; Waste management; Coal; Flue gas; Capital cost; Combustion; Environmental science; Tonne; Petroleum; Electricity generation; Operating cost; Fossil fuel; Unit cost; Engineering; Process engineering; Chemistry; Power (physics)","score_opus":0.008453304970180245,"score_gpt":0.18876375328782735,"score_spread":0.18031044831764712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038794706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98896325,0.00021643499,0.001957847,0.00012405937,0.000015935608,0.00006491081,0.0009289602,0.000023931332,0.007704543],"genre_scores_gemma":[0.9983071,0.00011802371,0.00043995626,0.000009436122,0.0000024592694,0.000026643092,0.00026139448,0.000007668294,0.0008273513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996543,0.0000767642,0.000015998903,0.00004225469,0.00012514651,0.00008565218],"domain_scores_gemma":[0.99903846,0.00065755204,0.00006885614,0.000026249721,0.00016174551,0.000047237918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007106216,0.00075470906,0.0006674935,0.0011665873,0.0005558202,0.0013290953,0.0008214641,0.0011247295,0.0029045537],"category_scores_gemma":[0.0011108974,0.00038783584,0.0012645706,0.0012412646,0.0005825018,0.000973906,0.00031864413,0.0009215412,0.00029766117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029086747,0.0001597508,0.0040179943,0.00011847331,0.000028730894,0.0002591817,0.000014511964,0.98539275,0.0059091,0.0011309289,0.00021574285,0.00246199],"study_design_scores_gemma":[0.000036177724,0.0005064917,0.013962896,0.0000135790215,0.00003547105,0.000056059293,0.00011455601,0.97726655,0.0069931992,0.0004715017,0.00051084085,0.00003268513],"about_ca_topic_score_codex":0.024461804,"about_ca_topic_score_gemma":0.016105836,"teacher_disagreement_score":0.024461804,"about_ca_system_score_codex":0.0036816976,"about_ca_system_score_gemma":0.0010375639,"threshold_uncertainty_score":0.04863882},"labels":[],"label_agreement":null},{"id":"W3039740049","doi":"10.3390/en13133417","title":"Nanomaterial-Based Drilling Fluids for Exploitation of Unconventional Reservoirs: A Review","year":2020,"lang":"en","type":"review","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Universiti Teknologi Malaysia; Ministry of Higher Education, Malaysia","keywords":"Oil shale; Petroleum engineering; Drilling fluid; Drilling; Unconventional oil; Fossil fuel; Tight gas; Petroleum; Environmental science; Hydraulic fracturing; Geology; Waste management; Materials science; Engineering","score_opus":0.03941903887200962,"score_gpt":0.2835878718866283,"score_spread":0.2441688330146187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039740049","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":[0.0015195088,0.99646324,0.0004482923,0.00013415322,0.00014585086,0.000014607629,0.00004803018,0.000012475456,0.0012138485],"genre_scores_gemma":[0.0047303466,0.9938427,0.00054594816,0.00012270187,0.00008041998,0.000017058805,0.00004848694,0.0000027641695,0.00060960086],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976236,0.000030934498,0.000038287006,0.000047150086,0.00009366386,0.00002758962],"domain_scores_gemma":[0.9995921,0.00019918846,0.00009729358,0.000009684289,0.00007889097,0.000022948794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045827837,0.000948751,0.0010230478,0.002210039,0.00031576125,0.00091940037,0.0006135824,0.0009837905,0.00242537],"category_scores_gemma":[0.00066435547,0.00040158938,0.0008127193,0.0016831261,0.00030923123,0.0012382511,0.00044548608,0.0007760052,0.0006403472],"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":[0.00011852865,0.00031856683,0.00080913474,0.1348434,0.00034290963,0.0007962508,0.00033579994,0.0021643348,0.04700006,0.007085463,0.021220585,0.7849651],"study_design_scores_gemma":[0.000016288821,0.00058524334,0.0017189934,0.008498905,0.00046688155,0.00176553,0.00020020056,0.00072927505,0.016493969,0.0015096382,0.96794987,0.000065267224],"about_ca_topic_score_codex":0.0009056256,"about_ca_topic_score_gemma":0.0014361502,"teacher_disagreement_score":0.00242537,"about_ca_system_score_codex":0.0002892709,"about_ca_system_score_gemma":0.000952675,"threshold_uncertainty_score":0.008113682},"labels":[],"label_agreement":null},{"id":"W3041542083","doi":"10.3390/en13143527","title":"Optimal Configuration and Sizing of an Integrated Renewable Energy System for Isolated and Grid-Connected Microgrids: The Case of an Urban University Campus","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; Canada Excellence Research Chairs, Government of Canada","keywords":"Cost of electricity by source; Renewable energy; Photovoltaic system; Grid parity; Sizing; Capital cost; Grid; Grid connection; Environmental economics; Net present value; Electricity; Reliability engineering; Wind power; Distributed generation; Computer science; Automotive engineering; Engineering; Electricity generation; Electrical engineering; Power (physics); Economics; Production (economics)","score_opus":0.00914417091980207,"score_gpt":0.19703069846071677,"score_spread":0.1878865275409147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041542083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294834,0.00029053487,0.050698556,0.00031819323,0.000037219503,0.00022500672,0.00031695163,0.00023332957,0.018396838],"genre_scores_gemma":[0.994396,0.000042718653,0.004625808,0.0000065454665,0.000002199237,0.000020240597,0.00003399646,0.000007760742,0.0008646549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997737,0.000088148285,0.000007906472,0.000033790802,0.000033208096,0.00006328976],"domain_scores_gemma":[0.99970007,0.00013271194,0.00004066645,0.000021135658,0.00005807101,0.000047405494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042154477,0.0007694249,0.0006521993,0.00063068175,0.0007929833,0.0014154441,0.0007540427,0.0009138136,0.003172381],"category_scores_gemma":[0.0008980412,0.00041943535,0.00055768096,0.00060107093,0.00051135855,0.0007796279,0.00067380606,0.00046916876,0.0002346995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119296,0.00005959572,0.0013460306,0.000051573094,0.00002499686,0.0005549584,0.00004589907,0.98848116,0.0018489953,0.001930349,0.00035803294,0.0051791067],"study_design_scores_gemma":[0.000028859857,0.00010612561,0.0010685708,0.0000070200585,0.000034686633,0.000067235436,0.00024188042,0.9959811,0.00090417906,0.0011944666,0.0003543365,0.000011671762],"about_ca_topic_score_codex":0.014699973,"about_ca_topic_score_gemma":0.019892748,"teacher_disagreement_score":0.014699973,"about_ca_system_score_codex":0.0016153374,"about_ca_system_score_gemma":0.0010105299,"threshold_uncertainty_score":0.029228806},"labels":[],"label_agreement":null},{"id":"W3041561299","doi":"10.3390/en13143545","title":"Evaluating Patterns of Building Envelope Air Leakage with Infrared Thermography","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Building envelope; Leakage (economics); Thermography; Retrofitting; Environmental science; Classification of discontinuities; Infrared; Thermal; Roof; Structural engineering; Engineering; Acoustics; Meteorology; Optics; Mathematics","score_opus":0.019543497515225668,"score_gpt":0.24074543656924993,"score_spread":0.22120193905402427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041561299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580739,0.00032462642,0.039815612,0.000021384161,0.000012404752,0.000044140772,0.00013752282,0.0002567391,0.0013135691],"genre_scores_gemma":[0.9848045,0.00014912264,0.0143488655,0.000015553034,0.0000054417887,0.000018290895,0.00006508445,0.000029998764,0.0005631567],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99972004,0.000041768184,0.000013998972,0.00004751416,0.00014709245,0.00002963489],"domain_scores_gemma":[0.9994795,0.0001686852,0.00013852502,0.00003894796,0.00015019436,0.000024142415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041602505,0.00029649425,0.00022054768,0.0013199244,0.00013606163,0.00042305377,0.00027879994,0.0003756885,0.00067213725],"category_scores_gemma":[0.0008733939,0.00020029591,0.0001848309,0.0007462128,0.00032091784,0.00047461147,0.00029477468,0.0003291342,0.00018918056],"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":[0.0004524327,0.0001024708,0.03692527,0.00021775854,0.000027570204,0.00026918532,0.0006315663,0.004469049,0.89794505,0.00015259864,0.000159675,0.05864731],"study_design_scores_gemma":[0.0000147829205,0.00079176796,0.3041684,0.00004185653,0.00010661278,0.00084601674,0.00096714013,0.057024766,0.6345859,0.00021118694,0.0011657596,0.00007588459],"about_ca_topic_score_codex":0.00078336784,"about_ca_topic_score_gemma":0.0013752464,"teacher_disagreement_score":0.0013199244,"about_ca_system_score_codex":0.0001442153,"about_ca_system_score_gemma":0.000116480114,"threshold_uncertainty_score":0.0022485256},"labels":[],"label_agreement":null},{"id":"W3041991098","doi":"10.3390/en13143554","title":"A Selective Fault Clearing Scheme for a Hybrid VSC-LCC Multi-Terminal HVdc System","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"Manitoba Hydro","keywords":"Fault (geology); Engineering; Rectifier (neural networks); Terminal (telecommunication); Electrical engineering; Voltage; Circuit breaker; Voltage source; Transmission line; Line (geometry); Control theory (sociology); Electronic engineering; Computer science; Telecommunications; Mathematics","score_opus":0.021028487915017827,"score_gpt":0.22409239669081402,"score_spread":0.2030639087757962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041991098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28246072,0.0004180792,0.7052404,0.0001065262,0.00008651207,0.00029575828,0.00016011772,0.0024898527,0.008741936],"genre_scores_gemma":[0.97123444,0.000046500438,0.02716468,0.000023707851,0.00001177787,0.00003548975,0.00004732831,0.000010220015,0.001425868],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998282,0.000022459035,0.000013658517,0.00004718014,0.00006697233,0.000021402375],"domain_scores_gemma":[0.9998274,0.000019636218,0.00003447904,0.00004485213,0.000057121684,0.000016604772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011472653,0.00030007804,0.0003049312,0.00039694397,0.00041857795,0.00038095872,0.00070341787,0.0002711577,0.0018448374],"category_scores_gemma":[0.00015148228,0.00011720778,0.0001382699,0.00025780182,0.00022116046,0.00031805655,0.00025412827,0.0002082392,0.00042161168],"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":[0.0009179078,0.00017109448,0.0026177082,0.000332133,0.000056233122,0.0008521502,0.0003252499,0.065169126,0.4520808,0.0074400725,0.002899721,0.46713787],"study_design_scores_gemma":[0.00020864268,0.0018134158,0.0068252524,0.000047966492,0.00010836562,0.0016452937,0.00012178902,0.7571969,0.21372668,0.0028332772,0.015402665,0.00006972603],"about_ca_topic_score_codex":0.0012004268,"about_ca_topic_score_gemma":0.002444983,"teacher_disagreement_score":0.0018448374,"about_ca_system_score_codex":0.0003443041,"about_ca_system_score_gemma":0.00026887195,"threshold_uncertainty_score":0.0061715245},"labels":[],"label_agreement":null},{"id":"W3042158636","doi":"10.3390/en13143601","title":"A New Data-Based Dust Estimation Unit for PV Panels","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"American University of Sharjah","keywords":"Photovoltaic system; Environmental science; Solar irradiance; Solar power; Solar energy; Meteorology; Irradiance; Renewable energy; Engineering; Power (physics); Electrical engineering; Geography","score_opus":0.11388728911798122,"score_gpt":0.30251736738517215,"score_spread":0.18863007826719091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042158636","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061415624,0.00031483412,0.9271569,0.00010134066,0.00010725911,0.00023783043,0.0005685916,0.008329222,0.0017684419],"genre_scores_gemma":[0.72270995,0.0001618371,0.2720578,0.0001187137,0.00009575846,0.00036676967,0.0010626793,0.00014393513,0.0032825924],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995857,0.000038063783,0.000035718967,0.00015957313,0.00015247746,0.000028376793],"domain_scores_gemma":[0.9994448,0.00011269489,0.000076426455,0.0000895945,0.00024633872,0.000030145302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034536002,0.0007268189,0.0009226658,0.00072445907,0.00036761776,0.00059778616,0.0015603416,0.0006343969,0.0021490555],"category_scores_gemma":[0.0012257968,0.0003826985,0.00042428114,0.00072010513,0.00013979447,0.000741726,0.00046819996,0.00056016806,0.0013232196],"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":[0.00048688982,0.0006078489,0.019190034,0.00047713818,0.0002634099,0.00049990276,0.00014882602,0.17817281,0.103160016,0.0012974222,0.0064745033,0.68922114],"study_design_scores_gemma":[0.000019246458,0.00013110113,0.0042378427,0.000010697403,0.000032620457,0.00011073649,0.000013044457,0.9691994,0.023119899,0.0002551207,0.0028517498,0.000018575483],"about_ca_topic_score_codex":0.0030207497,"about_ca_topic_score_gemma":0.0033336955,"teacher_disagreement_score":0.0030207497,"about_ca_system_score_codex":0.00048051155,"about_ca_system_score_gemma":0.0004054584,"threshold_uncertainty_score":0.007189274},"labels":[],"label_agreement":null},{"id":"W3042318382","doi":"10.3390/en13143662","title":"Anaerobic-Based Water Resources Recovery Facilities: A Review","year":2020,"lang":"en","type":"review","venue":"Energies","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sewage treatment; Biogas; Environmental science; Waste management; Wastewater; Anaerobic exercise; Energy recovery; Anaerobic digestion; Biogas production; Activated sludge; Resource recovery; Environmental engineering; Methane; Engineering; Chemistry; Energy (signal processing)","score_opus":0.03060479450255634,"score_gpt":0.2691603386378815,"score_spread":0.23855554413532518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042318382","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":[0.0002715012,0.99704534,0.00027991555,0.00013626562,0.00014560812,0.000010083801,0.000042671752,0.000011565501,0.0020570443],"genre_scores_gemma":[0.00121142,0.99763525,0.0003382812,0.00007339625,0.00007022426,0.000008408106,0.000055618435,0.0000020463053,0.00060531445],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997602,0.00002796471,0.000035656583,0.000055791366,0.00009131376,0.000029131546],"domain_scores_gemma":[0.9996557,0.00014916004,0.00006944118,0.0000125130155,0.00008388045,0.000029261531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005588146,0.0011005113,0.0012242397,0.0034333922,0.00039725684,0.0013312617,0.00087617664,0.0010380518,0.005257165],"category_scores_gemma":[0.00053086283,0.00043775004,0.0007560758,0.0038579337,0.00037102625,0.0016076885,0.00072491175,0.0011028626,0.0022742536],"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":[0.000057829035,0.00014937583,0.00021181646,0.05233911,0.00011426674,0.00025323685,0.00007842069,0.00077245035,0.004492315,0.008038321,0.017311186,0.91618156],"study_design_scores_gemma":[0.000005657216,0.00011317067,0.0004547878,0.003404427,0.00010627335,0.0005349422,0.00004796172,0.00011146437,0.001023519,0.00090666354,0.99327374,0.000017411518],"about_ca_topic_score_codex":0.0016794365,"about_ca_topic_score_gemma":0.0023682623,"teacher_disagreement_score":0.005257165,"about_ca_system_score_codex":0.0005883555,"about_ca_system_score_gemma":0.0013929835,"threshold_uncertainty_score":0.017586946},"labels":[],"label_agreement":null},{"id":"W3042747385","doi":"10.3390/en13143642","title":"Energy Strategies, the Urban Dimension, and Spatial Planning","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"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":"Technische Universiteit Delft","keywords":"Urbanization; Urban planning; Urban metabolism; Urban density; Spatial planning; Environmental planning; Energy consumption; Efficient energy use; Dimension (graph theory); Urban climate; Urban agglomeration; Energy (signal processing); Energy transition; Energy planning; Environmental economics; Economic geography; Geography; Business; Environmental resource management; Civil engineering; Economic growth; Renewable energy; Environmental science; Economics; Engineering","score_opus":0.024075720491634357,"score_gpt":0.26959682009327457,"score_spread":0.2455210996016402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042747385","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":[0.19323899,0.014072138,0.032205682,0.030183176,0.00012773652,0.00013480296,0.00028733182,0.0000666795,0.7296835],"genre_scores_gemma":[0.98630863,0.0023844924,0.0029393965,0.00027986703,0.000016673981,0.000043377688,0.000045560035,0.000010268292,0.007971757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984048,0.00095049676,0.00005188757,0.000119865916,0.00019544923,0.0002775402],"domain_scores_gemma":[0.9992632,0.0002976766,0.00011315707,0.00007264006,0.00014185025,0.00011137287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014176241,0.000385149,0.0002288409,0.0020283281,0.001963221,0.007098549,0.0005693978,0.0009552321,0.0036674107],"category_scores_gemma":[0.0019204043,0.00020264274,0.00026365125,0.0037480583,0.016167164,0.0032056328,0.0027854603,0.00070312934,0.00023412598],"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":[0.0000036072358,0.000006351427,0.0025036877,0.00003386373,0.0000074371724,0.000031798107,0.0020277405,0.0025067374,0.000032767184,0.98289907,0.00083624525,0.009110708],"study_design_scores_gemma":[0.000007931057,0.000038934188,0.011266803,0.00025585963,0.000021848287,0.000112551876,0.030193971,0.0037928433,0.00027819796,0.78921753,0.16478689,0.000026648015],"about_ca_topic_score_codex":0.06412858,"about_ca_topic_score_gemma":0.087428324,"teacher_disagreement_score":0.06412858,"about_ca_system_score_codex":0.009607592,"about_ca_system_score_gemma":0.005214837,"threshold_uncertainty_score":0.1275106},"labels":[],"label_agreement":null},{"id":"W3042845732","doi":"10.3390/en13143713","title":"Online Modeling of a Fuel Cell System for an Energy Management Strategy Design","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Proton exchange membrane fuel cell; Initialization; Energy management; Computer science; Energy management system; Convergence (economics); Fuel cells; Kalman filter; Covariance; Process (computing); Extended Kalman filter; Control theory (sociology); Energy (signal processing); Algorithm; Control engineering; Engineering; Artificial intelligence; Mathematics","score_opus":0.03417034102698428,"score_gpt":0.20709339636305793,"score_spread":0.17292305533607366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042845732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023100408,0.00044412835,0.9590115,0.00025142694,0.000073755524,0.00009069005,0.00023900504,0.0007049722,0.016084075],"genre_scores_gemma":[0.93873876,0.0005177564,0.048142157,0.00006742034,0.00003521344,0.00033750368,0.00033919694,0.0000713855,0.011750662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998766,0.000027380342,0.00000518621,0.00002944881,0.000042675267,0.000018673052],"domain_scores_gemma":[0.99988985,0.000042036805,0.00001511548,0.000010780368,0.000034589255,0.0000076115884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002550852,0.00078252406,0.00069192256,0.00033593795,0.0004930142,0.0010388473,0.0008405361,0.0011104451,0.0043534297],"category_scores_gemma":[0.0004808167,0.00031114073,0.00065401563,0.00026260587,0.00029399892,0.00083379383,0.00056135753,0.0009735706,0.00082039984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030433775,0.000022123862,0.0002760191,0.000049932503,0.000014388352,0.00006911278,0.00003222855,0.98068935,0.0036057332,0.003912348,0.000435261,0.010863064],"study_design_scores_gemma":[0.0000016770364,0.000011221266,0.000059154,0.000002796742,0.0000029045232,0.0000056845515,0.0000039694974,0.9983064,0.00042105743,0.00048264003,0.00070052204,0.0000020032105],"about_ca_topic_score_codex":0.010865039,"about_ca_topic_score_gemma":0.0080731455,"teacher_disagreement_score":0.010865039,"about_ca_system_score_codex":0.0005730024,"about_ca_system_score_gemma":0.0010392432,"threshold_uncertainty_score":0.021603584},"labels":[],"label_agreement":null},{"id":"W3042993761","doi":"10.3390/en13143719","title":"Passenger Transport Energy Use in Ten Swedish Cities: Understanding the Differences through a Comparative Review","year":2020,"lang":"en","type":"review","venue":"Energies","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Per capita; Kilometer; Private transport; Context (archaeology); Energy consumption; Geography; Business; Sustainable transport; Sustainability; Regional science; Transport engineering; Economic growth; Economics; Engineering; Sociology; Demography; Population","score_opus":0.16511732143104138,"score_gpt":0.3104329106165961,"score_spread":0.14531558918555473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042993761","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":[0.0059906566,0.99147826,0.00010210484,0.0002200093,0.00010119496,0.000010949618,0.00074776623,0.0000063062066,0.0013426434],"genre_scores_gemma":[0.021805186,0.9768122,0.0002173554,0.00010148717,0.00005420485,0.00001684007,0.00083204114,0.000005254308,0.00015531779],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989309,0.00018866971,0.00034547003,0.00018734792,0.0002560591,0.00009163591],"domain_scores_gemma":[0.9963671,0.0022645069,0.00062983105,0.00007279128,0.00057373766,0.0000920901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017501776,0.00069039577,0.0013651061,0.022335343,0.0003919695,0.002733039,0.0006414662,0.0006249168,0.0019173851],"category_scores_gemma":[0.0040387525,0.00044810155,0.0019592189,0.03064512,0.0005723117,0.0016953746,0.00093632424,0.0006646006,0.00031187697],"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":[0.0004163479,0.000101039426,0.023575975,0.22845362,0.0032102657,0.0007774528,0.00265662,0.001011942,0.00066737685,0.006864852,0.017193072,0.7150715],"study_design_scores_gemma":[0.0000416401,0.00038743907,0.13458994,0.18333954,0.0094227735,0.0025816394,0.0097671,0.0003542132,0.00085129973,0.0017949094,0.65672475,0.00014474042],"about_ca_topic_score_codex":0.024473637,"about_ca_topic_score_gemma":0.038956106,"teacher_disagreement_score":0.024473637,"about_ca_system_score_codex":0.0020625002,"about_ca_system_score_gemma":0.0045407997,"threshold_uncertainty_score":0.048662364},"labels":[],"label_agreement":null},{"id":"W3043534803","doi":"10.3390/en13143617","title":"Consumers’ Perceptions of the Supply of Tap Water in Crisis Situations","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":51,"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":"Business; Quarter (Canadian coin); Quality (philosophy); Polling; Water supply; Control (management); Work (physics); Service quality; Tap water; Water quality; Service (business); Environmental economics; Water industry; Potable water; Process (computing); Operations management; Marketing; Economics; Engineering; Computer science; Environmental engineering; Geography","score_opus":0.13085066347327215,"score_gpt":0.3828615819308336,"score_spread":0.2520109184575614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043534803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980513,0.000018399234,0.00008691187,0.00011769093,0.000002171178,0.00000564082,0.000016909287,0.0000011715642,0.0016998126],"genre_scores_gemma":[0.9996056,0.000027727032,0.00004310198,0.000027974653,0.0000023629573,0.0000035410505,0.000020604195,9.302368e-7,0.000268154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928755,0.0003190862,0.000046618945,0.00004429378,0.00019203586,0.00011053025],"domain_scores_gemma":[0.9975152,0.0012935181,0.0004942432,0.00007687474,0.0003793457,0.0002408487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233959,0.000119917866,0.00016796187,0.00048664652,0.00064140576,0.0015822238,0.00014612262,0.00067407644,0.0041672853],"category_scores_gemma":[0.0040130313,0.00016978351,0.00028489743,0.00045357144,0.0006280644,0.00091467466,0.0006603697,0.00062517537,0.00025853238],"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":[0.0016732918,0.00066182273,0.6245779,0.00033911713,0.00012846608,0.0027226608,0.3210933,0.0008262945,0.016205445,0.0015267757,0.0014747157,0.028770197],"study_design_scores_gemma":[0.00003114727,0.0008950555,0.5271336,0.00006546082,0.000047037207,0.0005946948,0.4630976,0.001164383,0.0014804592,0.0006384587,0.0047910763,0.000061033195],"about_ca_topic_score_codex":0.003923051,"about_ca_topic_score_gemma":0.003586631,"teacher_disagreement_score":0.0041672853,"about_ca_system_score_codex":0.00044445915,"about_ca_system_score_gemma":0.00020667318,"threshold_uncertainty_score":0.01394099},"labels":[],"label_agreement":null},{"id":"W3043690556","doi":"10.3390/en13143708","title":"Exploring Solar and Wind Energy as a Power Generation Source for Solving the Electricity Crisis in Libya","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":61,"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":"Wind power; Photovoltaic system; Environmental science; Meteorology; Renewable energy; Electricity; Wind speed; Electricity generation; Engineering; Power (physics); Electrical engineering; Geography","score_opus":0.050811976756242855,"score_gpt":0.21623902378416016,"score_spread":0.1654270470279173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043690556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749774,0.0028580122,0.0013853422,0.0008753469,0.000024491843,0.000054614644,0.00036605343,0.000029425913,0.019429173],"genre_scores_gemma":[0.99563605,0.0017950481,0.0009695655,0.000051682666,0.00001448221,0.000017228434,0.0001916788,0.0000069499456,0.0013172803],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998319,0.000062647756,0.000009608536,0.00000962565,0.0000418961,0.000044168082],"domain_scores_gemma":[0.9998677,0.000048716218,0.000023642611,0.0000037837772,0.00003996734,0.000016314234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044073546,0.00029123173,0.00023480918,0.0013889618,0.00042479046,0.0014808556,0.00025038386,0.00039449157,0.001601578],"category_scores_gemma":[0.00040224282,0.00012054063,0.0001915436,0.0016163844,0.00021931005,0.00085403916,0.00061141985,0.00031225898,0.00013619728],"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":[0.00092205947,0.0006731311,0.5688161,0.0026998345,0.00038567474,0.0058512553,0.003725921,0.09761477,0.013607152,0.014385007,0.008249589,0.28306955],"study_design_scores_gemma":[0.0001317539,0.0006852112,0.7092066,0.0011464654,0.00029989466,0.0010056624,0.0466855,0.18232623,0.010968357,0.008036063,0.03938896,0.000119375545],"about_ca_topic_score_codex":0.008978519,"about_ca_topic_score_gemma":0.01683098,"teacher_disagreement_score":0.008978519,"about_ca_system_score_codex":0.00062333693,"about_ca_system_score_gemma":0.00093282305,"threshold_uncertainty_score":0.017852485},"labels":[],"label_agreement":null},{"id":"W3045848558","doi":"10.3390/en13153886","title":"Identification of Stray Gassing of Inhibited and Uninhibited Mineral Oils in Transformers","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Transformer; Pentagon; Engineering; Mineral oil; Forensic engineering; Petroleum engineering; Electrical engineering; Materials science; Metallurgy; Mathematics; Voltage","score_opus":0.008452122460907619,"score_gpt":0.19745202190836017,"score_spread":0.18899989944745255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045848558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992385,0.0003428006,0.0051409695,0.000012700648,0.0000070218543,0.000010347131,0.00012298829,0.000081352344,0.0018968422],"genre_scores_gemma":[0.9971624,0.00014765491,0.0019851935,0.000005933861,0.0000035082269,0.0000031385496,0.00010827852,0.000016245705,0.0005675542],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99976856,0.000037145313,0.000017649585,0.00005486409,0.00008874773,0.00003300938],"domain_scores_gemma":[0.9996136,0.00008689978,0.00013391137,0.000041466006,0.0000872657,0.000036942587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008537133,0.00017145429,0.00016617769,0.0013641294,0.00015098967,0.0003099724,0.00024813876,0.0002509266,0.00072966324],"category_scores_gemma":[0.00046717725,0.00009956088,0.00010220937,0.0005466192,0.0004041088,0.0002917609,0.00027078984,0.00015255973,0.0002877646],"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":[0.001859734,0.00007358365,0.17233592,0.00021536832,0.000036346562,0.0015003929,0.0011167963,0.0015398192,0.73198295,0.00055170053,0.00022471568,0.08856263],"study_design_scores_gemma":[0.000014776405,0.00065935665,0.33512864,0.00002620533,0.000050636052,0.0074724844,0.0015226395,0.006507254,0.6437239,0.00047184943,0.004390376,0.00003185503],"about_ca_topic_score_codex":0.0012590141,"about_ca_topic_score_gemma":0.0020343203,"teacher_disagreement_score":0.0013641294,"about_ca_system_score_codex":0.0001084509,"about_ca_system_score_gemma":0.00013603867,"threshold_uncertainty_score":0.002503395},"labels":[],"label_agreement":null},{"id":"W3046635960","doi":"10.3390/en13153925","title":"Wastewater Treatment Plant: Modelling and Validation of an Activated Sludge Process","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Activated sludge model; Activated sludge; Nitrification; Sewage treatment; Autotroph; Biomass (ecology); Heterotroph; Wastewater; Anoxic waters; Denitrification; Process (computing); Environmental science; Chemistry; Environmental engineering; Nitrogen; Environmental chemistry; Ecology; Computer science","score_opus":0.025701693579564994,"score_gpt":0.22350976720956772,"score_spread":0.19780807363000272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046635960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9011566,0.00069987064,0.08612031,0.00020677822,0.000076396536,0.00026605977,0.001569128,0.00081514317,0.009089799],"genre_scores_gemma":[0.98549104,0.00023513207,0.011810168,0.000014940168,0.0000070184815,0.00016780799,0.00055107666,0.000026821765,0.0016960812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957305,0.00012857483,0.000040171282,0.0000718943,0.00013720148,0.000049157712],"domain_scores_gemma":[0.999468,0.00024229892,0.00006068291,0.00006523141,0.00014042671,0.000023379107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062341563,0.001049489,0.0010395027,0.0005681593,0.0005620469,0.001086953,0.0010250625,0.0020074837,0.0016210536],"category_scores_gemma":[0.0010502917,0.00025719445,0.0010949981,0.0007824905,0.00035996013,0.0004976575,0.00057759084,0.0007576412,0.00050268305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006162749,0.00007815761,0.0010192381,0.00010382363,0.000013025461,0.000077458106,0.000030054698,0.9888657,0.006344505,0.0003114339,0.0000733318,0.0030217196],"study_design_scores_gemma":[0.000022739663,0.00010704054,0.00079149636,0.00001071605,0.000008373795,0.000018038785,0.000020886398,0.99286604,0.0053604017,0.00021801228,0.0005671321,0.000009083099],"about_ca_topic_score_codex":0.012599042,"about_ca_topic_score_gemma":0.0038755527,"teacher_disagreement_score":0.012599042,"about_ca_system_score_codex":0.00077219005,"about_ca_system_score_gemma":0.0010837405,"threshold_uncertainty_score":0.025051415},"labels":[],"label_agreement":null},{"id":"W3046936522","doi":"10.3390/en13164049","title":"A Modular Simulation Testbed for Energy Management in AC/DC Microgrids","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Testbed; Microgrid; Modular design; Converters; Computer science; Energy management; MATLAB; Photovoltaic system; Voltage; Control engineering; Electrical engineering; Engineering; Energy (signal processing)","score_opus":0.008687881791691401,"score_gpt":0.19335802546265832,"score_spread":0.1846701436709669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046936522","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":[0.19951291,0.00042459086,0.74716145,0.0005428562,0.00038859472,0.00090790703,0.00372255,0.016152952,0.031186266],"genre_scores_gemma":[0.8250033,0.00037423795,0.16663481,0.00008330318,0.000026802505,0.00087953603,0.0030586577,0.00042127253,0.003517983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996977,0.00013013431,0.000024994559,0.00003970845,0.00006797569,0.000039592138],"domain_scores_gemma":[0.99945384,0.00018181808,0.00004017017,0.0001261291,0.000119808916,0.000078195175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007294863,0.0006703371,0.0005187997,0.00044178343,0.00038508239,0.00060570124,0.0010656056,0.000394428,0.005000348],"category_scores_gemma":[0.0011438107,0.00021799315,0.00046694177,0.0004580242,0.00034796793,0.0007107303,0.00073739205,0.00072557566,0.0006516473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002983732,0.00027044324,0.0029500015,0.00022685966,0.000061783314,0.0002118454,0.00013594032,0.93081105,0.014006321,0.021074003,0.005426349,0.024527015],"study_design_scores_gemma":[0.000105661056,0.00014408272,0.0005674606,0.000020914975,0.00001748912,0.000038502218,0.00004016715,0.97725654,0.0076794117,0.0033215245,0.010792265,0.000015884332],"about_ca_topic_score_codex":0.0034695365,"about_ca_topic_score_gemma":0.001967974,"teacher_disagreement_score":0.005000348,"about_ca_system_score_codex":0.0005339615,"about_ca_system_score_gemma":0.0008997379,"threshold_uncertainty_score":0.016727865},"labels":[],"label_agreement":null},{"id":"W3047191584","doi":"10.3390/en13164046","title":"A Numerical and Experimental Study of a Novel Heat Sink Design for Natural Convection Cooling of LED Grow Lights","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Light effects on plants","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Calgary","funders":"","keywords":"Heat sink; Thermal management of high-power LEDs; Passive cooling; Natural convection; Heat transfer; Active cooling; Air cooling; Mechanical engineering; Forced convection; LED lamp; Fin; Environmental science; Materials science; Nuclear engineering; Thermal resistance; Mechanics; Engineering; Electrical engineering; Physics","score_opus":0.03583528938370288,"score_gpt":0.24620576965629803,"score_spread":0.21037048027259514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047191584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86962223,0.0004762435,0.11206027,0.0002632553,0.00015968794,0.00015528954,0.00033190733,0.00043384635,0.016497377],"genre_scores_gemma":[0.9590772,0.00015027827,0.03858853,0.000013533998,0.0000070824503,0.00009076402,0.00008260147,0.000036920177,0.0019530504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998814,0.00001554778,0.000003963366,0.000029045357,0.000049376635,0.000020684269],"domain_scores_gemma":[0.99966395,0.00014671407,0.000037466158,0.000033723485,0.00010179872,0.000016454835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035855884,0.00030573286,0.00034065061,0.00021197063,0.00038061407,0.00051026157,0.00041919388,0.00048514124,0.0015893542],"category_scores_gemma":[0.0009233082,0.00020519385,0.00028112857,0.0001966696,0.000506592,0.00044385096,0.0001634262,0.0003301112,0.0001860953],"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":[0.00029757552,0.0002125709,0.0040583895,0.00059945375,0.000019898971,0.00021626957,0.0002634068,0.55239207,0.41344357,0.004916901,0.001247246,0.022332689],"study_design_scores_gemma":[0.000057063597,0.0004304929,0.0021838995,0.000021958202,0.000021356831,0.000053192016,0.0000800851,0.8951317,0.09791007,0.0003607122,0.0037194458,0.000029993387],"about_ca_topic_score_codex":0.0019000228,"about_ca_topic_score_gemma":0.0025208162,"teacher_disagreement_score":0.0019000228,"about_ca_system_score_codex":0.00054163823,"about_ca_system_score_gemma":0.00060594635,"threshold_uncertainty_score":0.005316913},"labels":[],"label_agreement":null},{"id":"W3047455651","doi":"10.3390/en13164064","title":"Lessons to Learn from Post-Installation Pollution Levels Assessment of Some Distribution Insulators","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pollution; Environmental science; Leakage (economics); Humidity; Reliability (semiconductor); Environmental engineering; Engineering; Meteorology; Geography","score_opus":0.02904731891260896,"score_gpt":0.2863832370222684,"score_spread":0.25733591810965945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047455651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72857773,0.05227322,0.05617963,0.11849684,0.004899679,0.00017741222,0.0013030564,0.0010008751,0.037091527],"genre_scores_gemma":[0.91708934,0.0264632,0.027107896,0.007942382,0.002123165,0.000027468997,0.00044912827,0.00017329295,0.018624024],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99936014,0.000106494495,0.00004350311,0.00013014088,0.00028932057,0.000070393326],"domain_scores_gemma":[0.99866474,0.00026538334,0.000124802,0.00009844389,0.00073081243,0.000115799834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007501899,0.0006972127,0.00056757097,0.0006339992,0.00080474815,0.0012741558,0.0013469773,0.001340159,0.0018596222],"category_scores_gemma":[0.0016664205,0.00014090486,0.0005231246,0.00049426436,0.0012136191,0.0024551912,0.00079928496,0.0015545549,0.0007682132],"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":[0.0002673544,0.00050126226,0.17100768,0.0022698883,0.00020290217,0.0077578733,0.015268258,0.0072817653,0.040797018,0.0034178603,0.07396156,0.67726654],"study_design_scores_gemma":[0.000032381908,0.001555856,0.3891782,0.0021427684,0.00026709418,0.013285169,0.10688942,0.009689193,0.060507596,0.05110328,0.3648858,0.00046332617],"about_ca_topic_score_codex":0.019601518,"about_ca_topic_score_gemma":0.047103435,"teacher_disagreement_score":0.019601518,"about_ca_system_score_codex":0.0010582957,"about_ca_system_score_gemma":0.000958975,"threshold_uncertainty_score":0.03897488},"labels":[],"label_agreement":null},{"id":"W3047918162","doi":"10.3390/en13164036","title":"Advancements in Real-Time Simulation for the Validation of Grid Modernization Technologies","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Interfacing; Software portability; Systems engineering; Computer science; Automation; Smart grid; Electric power system; Grid; Electric power industry; Real-time simulation; Emerging technologies; Popularity; Embedded system; Engineering; Operating system; Power (physics); Electrical engineering; Electricity; Computer hardware","score_opus":0.018703024742811502,"score_gpt":0.24515224139343136,"score_spread":0.22644921665061987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047918162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075477354,0.002311858,0.8598141,0.002098244,0.00080829184,0.00031513316,0.00108148,0.0036316137,0.05446196],"genre_scores_gemma":[0.64900446,0.0049333284,0.33547187,0.00040911758,0.00015484255,0.00039074552,0.0019988471,0.0009130359,0.006723761],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830544,0.00065568835,0.00012618798,0.00011773954,0.000720047,0.00007497282],"domain_scores_gemma":[0.9962451,0.001739245,0.00020352469,0.00084548193,0.0008402711,0.00012638353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022196833,0.00056936714,0.00043377763,0.00078585726,0.00036281222,0.001518399,0.0009333969,0.0007189887,0.0051249713],"category_scores_gemma":[0.0069437595,0.00031290654,0.00064136746,0.001052577,0.00056625844,0.001658474,0.0009128364,0.0016574425,0.0010694752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002931965,0.00027561578,0.00693292,0.0005366237,0.000098765966,0.0001575169,0.00028669156,0.7257636,0.026598625,0.07870135,0.0078017963,0.15255332],"study_design_scores_gemma":[0.00007772754,0.00017824753,0.0014050171,0.00014875211,0.00003320321,0.00011163832,0.000088185094,0.9015677,0.020453077,0.008530495,0.06735817,0.00004783648],"about_ca_topic_score_codex":0.0030326264,"about_ca_topic_score_gemma":0.0021911624,"teacher_disagreement_score":0.0051249713,"about_ca_system_score_codex":0.00077883154,"about_ca_system_score_gemma":0.0013598753,"threshold_uncertainty_score":0.01714468},"labels":[],"label_agreement":null},{"id":"W3048102689","doi":"10.3390/en13164131","title":"Emerging Photovoltaic (PV) Materials for a Low Carbon Economy","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Chemistry; Division of Electrical, Communications and Cyber Systems; McMaster University; National Science Foundation","keywords":"PEDOT:PSS; Photovoltaic system; Materials science; Fossil fuel; Polystyrene sulfonate; Carbon fibers; Layer (electronics); Polystyrene; Nanotechnology; Carbon nanotube; Polymer; Waste management; Composite material; Electrical engineering","score_opus":0.008761447224804675,"score_gpt":0.2138473064259528,"score_spread":0.2050858592011481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048102689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67221016,0.050023526,0.15821071,0.004036785,0.0014244686,0.00032868647,0.0063035144,0.0015256935,0.10593653],"genre_scores_gemma":[0.8290057,0.027580975,0.12048995,0.00077419897,0.0002611478,0.00013851542,0.0018075944,0.00019366549,0.019748174],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998202,0.000014727401,0.0000065720137,0.000032377626,0.00010619152,0.000020022657],"domain_scores_gemma":[0.99987054,0.000021633283,0.000021889478,0.000013762366,0.00005954662,0.000012535389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020843944,0.0002985001,0.00022826562,0.00043500084,0.00032427537,0.00089090347,0.00041381424,0.000569714,0.0064606336],"category_scores_gemma":[0.0002684547,0.00013365214,0.0003285144,0.00061320356,0.00014434243,0.0016091021,0.00030378124,0.00075812504,0.0016049119],"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":[0.0001565164,0.00028086448,0.0042223977,0.0010150908,0.000044435128,0.00035177896,0.000054278094,0.0069143516,0.7169016,0.037522923,0.0084993895,0.2240365],"study_design_scores_gemma":[0.00004539311,0.00068831176,0.00659785,0.00019278747,0.00012953758,0.0008128236,0.00016761091,0.017327152,0.6975991,0.01650796,0.25988728,0.00004409148],"about_ca_topic_score_codex":0.0002601373,"about_ca_topic_score_gemma":0.0005650451,"teacher_disagreement_score":0.0064606336,"about_ca_system_score_codex":0.0007148747,"about_ca_system_score_gemma":0.00033399285,"threshold_uncertainty_score":0.021613002},"labels":[],"label_agreement":null},{"id":"W3048522717","doi":"10.3390/en13164187","title":"Adaptive Control of Four-Quadrant DC-DC Converters in Both Discontinuous and Continuous Conduction Modes","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Inductor; Converters; PID controller; Buck converter; Computer science; Voltage; Controller (irrigation); Engineering; Control engineering; Electrical engineering; Temperature control; Control (management)","score_opus":0.013955057948852179,"score_gpt":0.19210023384371525,"score_spread":0.17814517589486306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048522717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22731593,0.0008366845,0.7522847,0.0002353046,0.00015019349,0.00012657793,0.000058751863,0.00073832675,0.018253567],"genre_scores_gemma":[0.99093586,0.0000930723,0.007855485,0.000018187853,0.0000072698454,0.00002650267,0.000009808971,0.000005407099,0.001048337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998566,0.000027874128,0.000009039658,0.00003847672,0.000050443934,0.000017607326],"domain_scores_gemma":[0.9997757,0.000077718374,0.000042742722,0.000023796012,0.00006377934,0.00001622402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003076568,0.00039950892,0.00027166153,0.0002449784,0.00038599846,0.000711805,0.0006528134,0.00030316843,0.0011666667],"category_scores_gemma":[0.0005373903,0.00014782112,0.00020685139,0.0002901863,0.00041084993,0.00024618566,0.00043100613,0.00045771713,0.00016779076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005281038,0.00021314096,0.0019530638,0.00043772865,0.00008007358,0.00060812174,0.00057930755,0.64427644,0.14455442,0.013331612,0.001483042,0.19195494],"study_design_scores_gemma":[0.000027984106,0.00017608174,0.00050193374,0.000013714391,0.00001217279,0.0000770338,0.000038669215,0.9879921,0.0071999277,0.0024544036,0.0014935159,0.000012523994],"about_ca_topic_score_codex":0.001566738,"about_ca_topic_score_gemma":0.0017377391,"teacher_disagreement_score":0.001566738,"about_ca_system_score_codex":0.000281901,"about_ca_system_score_gemma":0.00026814695,"threshold_uncertainty_score":0.0039029121},"labels":[],"label_agreement":null},{"id":"W3048824607","doi":"10.3390/en13164199","title":"Sliding Mode Self-Sensing Control of Synchronous Machine Using Super Twisting Interconnected Observers","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Agence Nationale de la Recherche","keywords":"Control theory (sociology); Observer (physics); Stator; Backstepping; State observer; Convergence (economics); Computer science; Parametric statistics; Rotor (electric); Sliding mode control; Torque; Control engineering; Engineering; Mathematics; Control (management); Adaptive control; Nonlinear system; Artificial intelligence; Physics","score_opus":0.014406047947830958,"score_gpt":0.2036941610533112,"score_spread":0.18928811310548024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048824607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041930687,0.000110475376,0.9562335,0.000035956895,0.000041037674,0.000024664896,0.000008395082,0.00018280385,0.0014323673],"genre_scores_gemma":[0.959579,0.00013470645,0.038927604,0.000018437499,0.000020419566,0.00005817598,0.000022241524,0.00001035686,0.0012290212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998202,0.00004486122,0.000014186819,0.00003625593,0.00006958401,0.000014909475],"domain_scores_gemma":[0.9997303,0.00008981972,0.00006777478,0.000033423334,0.000067086956,0.000011597542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032886065,0.0003714759,0.00030393797,0.00015094086,0.00013161935,0.00033623914,0.00038658176,0.00023768307,0.0006941057],"category_scores_gemma":[0.00054908654,0.00014276335,0.00026000192,0.00012957757,0.00037307775,0.0004349198,0.00030312393,0.00038355112,0.00009261461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003973908,0.0001046267,0.0019306139,0.0006387124,0.000098288634,0.000347318,0.0006466235,0.5438274,0.20178008,0.04296581,0.0012200429,0.2060431],"study_design_scores_gemma":[0.000016878545,0.00021890267,0.00034163086,0.0000073967353,0.000009096474,0.000030251656,0.000012093953,0.9910533,0.006372239,0.0010897848,0.00084211596,0.000006288769],"about_ca_topic_score_codex":0.000672874,"about_ca_topic_score_gemma":0.00073021237,"teacher_disagreement_score":0.0006941057,"about_ca_system_score_codex":0.00014136484,"about_ca_system_score_gemma":0.00022141215,"threshold_uncertainty_score":0.0023219585},"labels":[],"label_agreement":null},{"id":"W3049345888","doi":"10.3390/en13164227","title":"Real-Time Control of Plug-in Electric Vehicles for Congestion Management of Radial LV Networks: A Comparison of Implementations","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Kungliga Tekniska Högskolan; Bundesministerium für Verkehr und Digitale Infrastruktur","keywords":"Plug-in; Implementation; Computer science; Overheating (electricity); Grid; Load profile; Heuristic; Automotive engineering; Fuel efficiency; Linear programming; Engineering; Reliability engineering; Electricity; Electrical engineering; Algorithm; Mathematics","score_opus":0.00863698616322569,"score_gpt":0.23954721166716286,"score_spread":0.23091022550393717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049345888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2827333,0.00063347595,0.69922715,0.0001513807,0.000062295665,0.00016343933,0.00003929107,0.00091859174,0.016071076],"genre_scores_gemma":[0.983214,0.00007472011,0.015845122,0.000011436559,0.000005216948,0.000025488363,0.000014385923,0.0000134899365,0.0007959609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997259,0.000113383736,0.000008846944,0.000034886652,0.000073576644,0.000043431384],"domain_scores_gemma":[0.9996388,0.00015974848,0.00006765977,0.00003248888,0.00007682175,0.000024433826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006422008,0.00046500997,0.00032041981,0.00021014843,0.00016690801,0.00079529325,0.0007656578,0.00034370786,0.0014032071],"category_scores_gemma":[0.00091912755,0.00011211119,0.00019752806,0.00015616987,0.00035495032,0.00029801158,0.000253724,0.0003833168,0.00015389557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013846988,0.00013112216,0.00041823974,0.00008122288,0.000014818668,0.000033335487,0.00004612149,0.9451495,0.00305342,0.0026287846,0.0002459052,0.048059136],"study_design_scores_gemma":[0.00002399356,0.00013911189,0.00016998843,0.0000060876177,0.000008328695,0.000010295792,0.000018878183,0.9969994,0.0019050705,0.00032814662,0.00038693743,0.0000038063674],"about_ca_topic_score_codex":0.0044346955,"about_ca_topic_score_gemma":0.0041305753,"teacher_disagreement_score":0.0044346955,"about_ca_system_score_codex":0.0005394647,"about_ca_system_score_gemma":0.0006596725,"threshold_uncertainty_score":0.008817792},"labels":[],"label_agreement":null},{"id":"W3049360147","doi":"10.3390/en13164221","title":"Uncertainty and Risk Evaluation of Deep Geothermal Energy Source for Heat Production and Electricity Generation in Remote Northern Regions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"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":"Geothermal gradient; Geothermal energy; Environmental science; Earth science; Electricity; Geothermal exploration; Geothermal heating; Geology; Engineering; Geophysics","score_opus":0.018843787899250612,"score_gpt":0.22558970236785233,"score_spread":0.20674591446860172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049360147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897856,0.0002002933,0.007356566,0.0001718888,0.000004406627,0.000023272118,0.000454188,0.000028457469,0.0019752863],"genre_scores_gemma":[0.9989392,0.00004421083,0.00070650567,0.000005362221,0.0000014214354,0.00000428284,0.00012519433,0.0000022682393,0.00017154323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994673,0.00014254784,0.0000189854,0.0000875141,0.00018143687,0.00010221175],"domain_scores_gemma":[0.99881834,0.0007844174,0.00011747894,0.000054744447,0.00015740433,0.00006753052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015081716,0.0005369175,0.0003674459,0.00085361244,0.00057501276,0.0012442162,0.000737436,0.0005573882,0.00055669557],"category_scores_gemma":[0.0029522004,0.00027021058,0.0005747487,0.0006425985,0.00082351564,0.0005660418,0.0007074609,0.00036629123,0.00003143337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010226026,0.000015450963,0.025673982,0.000029431101,0.00006448483,0.00019727486,0.00007123744,0.9663885,0.0013369306,0.0023100718,0.00012607832,0.0036842811],"study_design_scores_gemma":[0.00001671441,0.000056696226,0.042030454,0.000027124266,0.00005811346,0.00005983189,0.0004890183,0.95112103,0.0016961636,0.0038002392,0.00059420685,0.00005033476],"about_ca_topic_score_codex":0.42555314,"about_ca_topic_score_gemma":0.3651058,"teacher_disagreement_score":0.42555314,"about_ca_system_score_codex":0.0059332033,"about_ca_system_score_gemma":0.0031319908,"threshold_uncertainty_score":0.8461523},"labels":[],"label_agreement":null},{"id":"W3049570183","doi":"10.3390/en13164243","title":"Analytical Modeling of the Cyclic ES-SAGD Process","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Steam injection; Solvent; Hexane; Steam-assisted gravity drainage; Process (computing); Pentane; Butane; Chemistry; Engineering; Oil sands; Materials science; Chromatography; Organic chemistry; Computer science","score_opus":0.0159343016714657,"score_gpt":0.2321228750064899,"score_spread":0.2161885733350242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049570183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22614314,0.0028015925,0.672441,0.0010802698,0.00025356098,0.00037781987,0.0015379096,0.0010553305,0.09430944],"genre_scores_gemma":[0.93988615,0.0016123317,0.03847833,0.00008246345,0.00004775573,0.00027669026,0.0004148144,0.00008348269,0.019118039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975866,0.000026288066,0.000012696533,0.000048030182,0.00011428297,0.000039924853],"domain_scores_gemma":[0.9997428,0.00009516276,0.000040579314,0.000017280288,0.00009119495,0.000012996934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033367905,0.00057278376,0.00067883194,0.00066863606,0.0006156775,0.0012823043,0.0013440934,0.0014886772,0.0022967851],"category_scores_gemma":[0.0007553063,0.0004244118,0.0008445546,0.0005854401,0.0006280057,0.00065778504,0.00064751116,0.0006204711,0.0006055641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002731567,0.000034880843,0.0005740618,0.00010820384,0.000007686963,0.00022178899,0.000091550195,0.9748072,0.010101624,0.008254981,0.00043494944,0.0053357515],"study_design_scores_gemma":[0.0000026353825,0.000009298051,0.000060416765,0.0000039485935,0.0000024418882,0.000019314813,0.0000099841845,0.9978861,0.0007204361,0.00047972493,0.00080145424,0.0000042495594],"about_ca_topic_score_codex":0.0131123215,"about_ca_topic_score_gemma":0.004958924,"teacher_disagreement_score":0.0131123215,"about_ca_system_score_codex":0.0013885974,"about_ca_system_score_gemma":0.0016108888,"threshold_uncertainty_score":0.026071966},"labels":[],"label_agreement":null},{"id":"W3079144952","doi":"10.3390/en13174327","title":"Application of Phase Change Material-Based Thermal Capacitor in Double Tube Heat Exchanger—A Numerical Investigation","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; McGill University","keywords":"Materials science; Phase-change material; Mechanics; Heat exchanger; Heat transfer; Shell and tube heat exchanger; Thermodynamics; Concentric tube heat exchanger; Plate fin heat exchanger; Plate heat exchanger; Mechanical engineering; Thermal; Engineering; Physics","score_opus":0.06876462648285356,"score_gpt":0.28817083702522245,"score_spread":0.2194062105423689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3079144952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96657103,0.00031425434,0.028838387,0.000113549766,0.00003928781,0.000062113184,0.00006478985,0.00009301593,0.0039036053],"genre_scores_gemma":[0.9826638,0.00014313211,0.016151117,0.00000700495,0.0000034844495,0.00002433423,0.000018547142,0.000004033695,0.0009844956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999928,0.000014190785,0.00000402429,0.000014329964,0.000027547989,0.0000118567095],"domain_scores_gemma":[0.99982256,0.00009642102,0.000027496242,0.000019133915,0.000024524517,0.00000982942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022830896,0.00017855811,0.00026197993,0.00024838682,0.00026969376,0.00040930498,0.000359113,0.0005763373,0.0010774995],"category_scores_gemma":[0.00052272255,0.00012912933,0.0002269622,0.00028616353,0.00033118832,0.00030518594,0.00023193374,0.00021929752,0.00007419253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049357384,0.0003217375,0.0050218753,0.0004977739,0.00003691693,0.0005683252,0.00014948263,0.67683536,0.28786913,0.006712377,0.00041944353,0.021073908],"study_design_scores_gemma":[0.000022065617,0.00024312433,0.0008710906,0.000006825122,0.000009109205,0.000062050676,0.000025092671,0.96676934,0.031280223,0.00014599672,0.00055638445,0.000008700839],"about_ca_topic_score_codex":0.0015092044,"about_ca_topic_score_gemma":0.0012422061,"teacher_disagreement_score":0.0015092044,"about_ca_system_score_codex":0.00025085628,"about_ca_system_score_gemma":0.00029591366,"threshold_uncertainty_score":0.003604591},"labels":[],"label_agreement":null},{"id":"W3080646189","doi":"10.3390/en13174356","title":"Effect of Principal Stress Field on the Development of Plastic Zone ahead of the Gateroad","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Principal stress; Stress (linguistics); Stress field; Lagrangian analysis; Principal (computer security); Volume (thermodynamics); Geotechnical engineering; Materials science; Geology; Mathematics; Structural engineering; Engineering; Lagrangian; Composite material; Finite element method; Physics; Mathematical analysis; Computer science; Thermodynamics; Shear stress","score_opus":0.012001329005604593,"score_gpt":0.20627860837280812,"score_spread":0.19427727936720351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080646189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857173,0.00040386347,0.0083981585,0.00011339336,0.00004641195,0.000021426038,0.00019216062,0.0001454111,0.004961785],"genre_scores_gemma":[0.9986009,0.00017979475,0.000615245,0.000011564493,0.000003537569,0.0000070608653,0.00006042811,0.000015571808,0.0005057753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998455,0.000018384313,0.000008253146,0.000033465974,0.00003951417,0.00005486219],"domain_scores_gemma":[0.9994622,0.00021729643,0.0001021506,0.000035274843,0.00009491728,0.00008821937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031152542,0.00046460106,0.00028321886,0.0006626368,0.0003750469,0.0008853919,0.0003053431,0.00050316047,0.0017109701],"category_scores_gemma":[0.0010067712,0.00027089802,0.0004751889,0.00030602125,0.00066082145,0.00053207536,0.0005234852,0.0005020179,0.00018395219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067321834,0.00020724455,0.03454372,0.00036632526,0.000059243972,0.001564799,0.0002659345,0.7277933,0.20760302,0.0030877567,0.0009487099,0.02288676],"study_design_scores_gemma":[0.000034293025,0.0005461512,0.0448746,0.000058756777,0.00006731604,0.00032099773,0.0006096723,0.8686871,0.080786034,0.0015342466,0.0023833662,0.000097461234],"about_ca_topic_score_codex":0.004429503,"about_ca_topic_score_gemma":0.00328352,"teacher_disagreement_score":0.004429503,"about_ca_system_score_codex":0.0003482404,"about_ca_system_score_gemma":0.0005824227,"threshold_uncertainty_score":0.008807421},"labels":[],"label_agreement":null},{"id":"W3081880800","doi":"10.3390/en13174581","title":"Experimental Investigations of Forward and Reverse Combustion for Increasing Oil Recovery of a Real Oil Field","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Combustion; Enhanced oil recovery; Petroleum engineering; Process engineering; Environmental science; Engineering; Chemistry","score_opus":0.01810880112202259,"score_gpt":0.24969326085220028,"score_spread":0.2315844597301777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081880800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98070884,0.0004327164,0.015919697,0.00006948431,0.000052937765,0.00008005082,0.00045418812,0.00017525892,0.002106854],"genre_scores_gemma":[0.9761972,0.00054651406,0.020641852,0.00003949179,0.000018487468,0.000071313516,0.0002845072,0.00006632674,0.0021344135],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995895,0.0000307632,0.000019904883,0.00007831962,0.00022319672,0.000058347356],"domain_scores_gemma":[0.99956137,0.00014111809,0.0000650074,0.000057673882,0.00015387802,0.000020905476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000704962,0.0005245596,0.0003446946,0.0005057703,0.00039821077,0.000329581,0.00042623165,0.0005658126,0.0016241976],"category_scores_gemma":[0.000925645,0.00020411982,0.00034825664,0.00042970793,0.00056315766,0.00054395135,0.0003975658,0.00082679954,0.00045130306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019497679,0.00008214636,0.00077686436,0.00017445268,0.0000059133586,0.00008258341,0.000072850424,0.0010329238,0.9928098,0.00026990118,0.00009021032,0.004407434],"study_design_scores_gemma":[0.0000051913617,0.00024982984,0.00079187966,0.0000056283166,0.0000067336823,0.000057856272,0.000033291657,0.002199585,0.9959454,0.000037332455,0.00065769,0.000009509689],"about_ca_topic_score_codex":0.0009706297,"about_ca_topic_score_gemma":0.0016416641,"teacher_disagreement_score":0.0016241976,"about_ca_system_score_codex":0.00031269988,"about_ca_system_score_gemma":0.00034868869,"threshold_uncertainty_score":0.0054335},"labels":[],"label_agreement":null},{"id":"W3082328996","doi":"10.3390/en13174571","title":"Optimal Selection of Integrated Electricity Generation Systems for the Power Sector with Low Greenhouse Gas (GHG) Emissions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Pakistan Institute of Engineering and Applied Sciences","keywords":"Greenhouse gas; Electricity generation; Electricity; Fossil fuel; Environmental economics; Climate change mitigation; Industrialisation; Environmental science; Natural resource economics; Environmental engineering; Engineering; Waste management; Economics; Power (physics)","score_opus":0.009793911776346932,"score_gpt":0.19084173378739347,"score_spread":0.18104782201104655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082328996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64763045,0.0013912069,0.2992084,0.0006034432,0.00008122701,0.00046638743,0.00079206243,0.00036859326,0.04945812],"genre_scores_gemma":[0.98368376,0.00021262057,0.013686026,0.000021201706,0.0000054730995,0.00008375982,0.00009214759,0.000013411366,0.002201486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997892,0.000072882634,0.000007017097,0.000039504896,0.000037291822,0.00005413513],"domain_scores_gemma":[0.999841,0.00006399163,0.000037335747,0.0000048114343,0.000033094675,0.0000197149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003203273,0.0007079267,0.00057298277,0.000505034,0.000408663,0.0014736609,0.00054090435,0.0007006587,0.0032115895],"category_scores_gemma":[0.000750339,0.00054864207,0.0005217569,0.0004824292,0.0002894654,0.0007124039,0.0004940618,0.0005990164,0.00025770403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059842405,0.00004149497,0.00057185185,0.00005191588,0.000021892145,0.00010232885,0.000020498486,0.9895219,0.0013794911,0.0016791496,0.00033020473,0.006219493],"study_design_scores_gemma":[0.00002062603,0.000096762786,0.0005630369,0.000011553174,0.000023055643,0.00001803979,0.000048756832,0.99674475,0.0006404398,0.0011495278,0.0006773317,0.0000060187563],"about_ca_topic_score_codex":0.0071646916,"about_ca_topic_score_gemma":0.013013574,"teacher_disagreement_score":0.0071646916,"about_ca_system_score_codex":0.0011498416,"about_ca_system_score_gemma":0.0013334316,"threshold_uncertainty_score":0.014245987},"labels":[],"label_agreement":null},{"id":"W3083051168","doi":"10.3390/en13184646","title":"A Novel Switching Table for a Modified Three-Level Inverter-Fed DTC Drive with Torque and Flux Ripple Minimization","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Control theory (sociology); Direct torque control; Inverter; Torque ripple; Stator; Total harmonic distortion; Torque; Vector control; Induction motor; MATLAB; Computer science; Voltage; Ripple; Engineering; Control (management); Physics; Electrical engineering","score_opus":0.03333270470218498,"score_gpt":0.2005719577904233,"score_spread":0.16723925308823834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083051168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028969629,0.00037556016,0.9572818,0.00012282986,0.00021176554,0.00022018747,0.00030511428,0.0021456676,0.010367413],"genre_scores_gemma":[0.785032,0.00028001025,0.20804925,0.00013283257,0.0000676912,0.00026150787,0.00049465796,0.00017034079,0.0055118757],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999856,0.000018627063,0.000014796363,0.000026872644,0.000076013384,0.000007704444],"domain_scores_gemma":[0.99992,0.000016823611,0.000013017177,0.000015101369,0.000028555169,0.000006453822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012534864,0.0003879189,0.00038308356,0.00034922326,0.00025622448,0.0006035112,0.00069172645,0.00037296093,0.003187258],"category_scores_gemma":[0.00020797252,0.00013807688,0.00030681118,0.00035654908,0.00013601533,0.0003529396,0.00016802979,0.00040990865,0.0006647434],"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":[0.0006429537,0.0003380917,0.0012455111,0.00093542243,0.000092390605,0.0005654138,0.00025576662,0.101070575,0.32933623,0.032419357,0.00859717,0.52450114],"study_design_scores_gemma":[0.00015773655,0.00087463553,0.00204261,0.00006846795,0.000092478156,0.0009942169,0.000026474321,0.8996486,0.044302285,0.0030870992,0.04864212,0.00006322264],"about_ca_topic_score_codex":0.0014129855,"about_ca_topic_score_gemma":0.0019408698,"teacher_disagreement_score":0.003187258,"about_ca_system_score_codex":0.00030842217,"about_ca_system_score_gemma":0.00033264773,"threshold_uncertainty_score":0.010662496},"labels":[],"label_agreement":null},{"id":"W3083181046","doi":"10.3390/en13184609","title":"Degraded Trees from Spruce Budworm Epidemics as Bioenergy Feedstock: A Profitability Analysis of Forest Operations","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Forest Management and Policy","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":true,"ca_institutions":"Queen's University; Université Laval","funders":"BioFuelNet Canada","keywords":"Bioenergy; Agroforestry; Environmental science; Forestry; Wood production; Raw material; Biomass (ecology); Taiga; Pulp and paper industry; Procurement; Renewable energy; Forest management; Agronomy; Business; Geography; Ecology; Engineering; Biology","score_opus":0.02070637274316171,"score_gpt":0.24981975015466656,"score_spread":0.22911337741150486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083181046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642664,0.00011410878,0.00021728408,0.000030773088,0.0000011691944,0.000032519045,0.00047478534,0.000005359666,0.0026973858],"genre_scores_gemma":[0.9982054,0.00013367058,0.0003730947,0.0000074755303,7.1582e-7,0.000009444271,0.0005121708,0.0000026696928,0.0007554041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99971646,0.00003148538,0.000008455236,0.000023744482,0.000107907435,0.00011196323],"domain_scores_gemma":[0.9994742,0.00015144852,0.00006907089,0.0000152388575,0.00020628411,0.00008374717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040679757,0.00040828923,0.0002357707,0.00080446684,0.000670595,0.0013471332,0.0005514399,0.00027867744,0.0014298367],"category_scores_gemma":[0.0005850066,0.00012465313,0.00040181068,0.001200005,0.00045753308,0.00044886637,0.00023806593,0.0002937224,0.00010122468],"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":[0.0011753148,0.0006479942,0.42994928,0.00026924047,0.00022553689,0.0017239058,0.0004245672,0.49504268,0.022186143,0.0045661097,0.0018426642,0.041946564],"study_design_scores_gemma":[0.000057495297,0.00077059737,0.72984,0.000046194273,0.00016911898,0.00021233242,0.0029338154,0.25623438,0.00504632,0.00076094514,0.0038673626,0.00006136006],"about_ca_topic_score_codex":0.73375946,"about_ca_topic_score_gemma":0.8886606,"teacher_disagreement_score":0.73375946,"about_ca_system_score_codex":0.014437822,"about_ca_system_score_gemma":0.0043802382,"threshold_uncertainty_score":0.53561693},"labels":[],"label_agreement":null},{"id":"W3083817465","doi":"10.3390/en13184699","title":"Experimental and Numerical Study on Energy Piles with Phase Change Materials","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation","keywords":"Pile; Heat pump; Phase-change material; Phase change; Parametric statistics; Thermal; Energy consumption; Volumetric flow rate; Computational fluid dynamics; Energy storage; Thermal energy storage; Coefficient of performance; Engineering; Environmental science; Mechanical engineering; Mechanics; Geotechnical engineering; Thermodynamics; Electrical engineering","score_opus":0.07876521237703386,"score_gpt":0.3144825767886315,"score_spread":0.23571736441159763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083817465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961338,0.000083391285,0.0022223822,0.000030215342,0.000021303373,0.000036661786,0.00022252038,0.00006911844,0.0011806573],"genre_scores_gemma":[0.99623364,0.00008042156,0.0029609501,0.0000067629935,0.0000040401437,0.000026575104,0.00010374403,0.0000059960125,0.0005779443],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995715,0.00003786542,0.000033828594,0.00006823443,0.0001868382,0.000101728365],"domain_scores_gemma":[0.9991819,0.00022964911,0.00013950326,0.00016620384,0.00019383243,0.00008888449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043840546,0.0005609008,0.0006286866,0.0006768052,0.0007802288,0.0004158405,0.0006412119,0.0009212927,0.0022150897],"category_scores_gemma":[0.0007413847,0.00025673068,0.00056396716,0.00078390626,0.00089655956,0.0005101842,0.00048646543,0.0005473402,0.00027431917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013750879,0.0011927753,0.010403537,0.00082672754,0.000042271226,0.001921961,0.00047591428,0.16986795,0.795747,0.0012633519,0.00064769015,0.01623568],"study_design_scores_gemma":[0.000112568196,0.0038844342,0.02112137,0.00005976217,0.00007881824,0.0003947329,0.0009173881,0.21971764,0.7508349,0.0004301391,0.0023419468,0.00010626807],"about_ca_topic_score_codex":0.00101588,"about_ca_topic_score_gemma":0.0013809594,"teacher_disagreement_score":0.0022150897,"about_ca_system_score_codex":0.00030179546,"about_ca_system_score_gemma":0.00030910037,"threshold_uncertainty_score":0.0074102283},"labels":[],"label_agreement":null},{"id":"W3084340700","doi":"10.3390/en13184708","title":"Machine Learning for Energy Systems","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":16,"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":"Russian Foundation for Basic Research; National Natural Science Foundation of China","keywords":"Electric power system; Computer science; Electrification; Wind power; Renewable energy; Systems engineering; Industrial engineering; Engineering; Power (physics); Electrical engineering","score_opus":0.014571597080919077,"score_gpt":0.18943626857217621,"score_spread":0.17486467149125715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084340700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038709491,0.21162207,0.42495054,0.0818178,0.03901619,0.00028308493,0.0038794344,0.0030216165,0.23153836],"genre_scores_gemma":[0.252117,0.24268457,0.20925897,0.016919328,0.044201422,0.0014866336,0.008879541,0.0011929555,0.22325958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809414,0.0007057902,0.00013242762,0.0003973018,0.0005826396,0.000087679524],"domain_scores_gemma":[0.9976851,0.0013415513,0.00015136728,0.00035091257,0.00040025284,0.00007089335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020405098,0.0012661808,0.0014245259,0.0013661309,0.00057112816,0.0036764524,0.0012860855,0.0023211485,0.024764648],"category_scores_gemma":[0.0060199737,0.00029751845,0.0007289523,0.0021045073,0.0016911535,0.0035011854,0.0016390365,0.0044975495,0.011311871],"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":[0.000029542956,0.000030247498,0.0006522696,0.00096169586,0.00011407255,0.00011446486,0.00012270476,0.010588254,0.00026131494,0.5175323,0.23056266,0.23903047],"study_design_scores_gemma":[0.000016237103,0.000038833838,0.0004134501,0.00046237142,0.00002067556,0.00012804862,0.000055637996,0.02000925,0.00021242358,0.44639483,0.53222567,0.000022566128],"about_ca_topic_score_codex":0.0012743614,"about_ca_topic_score_gemma":0.0008305229,"teacher_disagreement_score":0.024764648,"about_ca_system_score_codex":0.0013460334,"about_ca_system_score_gemma":0.001487436,"threshold_uncertainty_score":0.082846045},"labels":[],"label_agreement":null},{"id":"W3084864561","doi":"10.3390/en13184797","title":"Frequency Response Improvement of PMSG Wind Turbines Using a Washout Filter","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Manitoba Hydro; National Science Foundation","keywords":"Maximum power point tracking; Control theory (sociology); Wind power; Turbine; Inertia; Automatic frequency control; Power (physics); Controller (irrigation); Frequency grid; Engineering; Computer science; Inverter; Control (management); Electrical engineering; Voltage; Physics","score_opus":0.018093054183654943,"score_gpt":0.20688875300343246,"score_spread":0.1887956988197775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084864561","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27617854,0.0010611726,0.71405697,0.00024387262,0.00025840013,0.000095370924,0.00005922201,0.0015546457,0.0064916676],"genre_scores_gemma":[0.9771638,0.00017585304,0.020834642,0.000041065232,0.00002256135,0.000028239525,0.000025098077,0.00002049618,0.0016881659],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991083,0.000014813695,0.000007803039,0.000022157841,0.000036038517,0.000008432277],"domain_scores_gemma":[0.9998826,0.00004545108,0.000020359186,0.000013479142,0.000032826032,0.0000052630508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014766854,0.000289272,0.00026550633,0.00020648685,0.0001742304,0.00023059773,0.00028227214,0.0004653665,0.0013288492],"category_scores_gemma":[0.00034477562,0.00009547207,0.00017645535,0.00015823208,0.000104807696,0.00023112998,0.000098972865,0.00022463515,0.00026270378],"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":[0.00090014224,0.00024241713,0.0018880985,0.0005981967,0.00008705404,0.00040980618,0.0002733584,0.03745489,0.5386866,0.002287966,0.0021966565,0.4149749],"study_design_scores_gemma":[0.00019135533,0.0016587112,0.009263224,0.000051977513,0.00007679573,0.0006052308,0.00006199702,0.8009581,0.17505817,0.0009829282,0.011056837,0.000034707966],"about_ca_topic_score_codex":0.00044353015,"about_ca_topic_score_gemma":0.00052526954,"teacher_disagreement_score":0.0013288492,"about_ca_system_score_codex":0.00010638483,"about_ca_system_score_gemma":0.000084701605,"threshold_uncertainty_score":0.004445493},"labels":[],"label_agreement":null},{"id":"W3086292865","doi":"10.3390/en13184787","title":"An Artificial Neural Network for the Low-Cost Prediction of Soot Emissions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soot; Combustion; Artificial neural network; Laminar flow; Computational fluid dynamics; Combustor; Computer science; Environmental science; Mechanics; Engineering; Chemistry; Aerospace engineering; Artificial intelligence; Physics","score_opus":0.02966268311936085,"score_gpt":0.2560338605016337,"score_spread":0.22637117738227283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086292865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26297185,0.0024437797,0.72663695,0.00040081903,0.00019244864,0.00010033739,0.0003612783,0.001700294,0.0051921704],"genre_scores_gemma":[0.9194312,0.0004972692,0.07668141,0.0000659472,0.000031335334,0.00012675993,0.00039046165,0.000029752186,0.002745854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998424,0.00004287434,0.000013553064,0.000039497547,0.0000425553,0.00001906566],"domain_scores_gemma":[0.9996146,0.0002330272,0.000032028944,0.0000135792125,0.00009732147,0.000009379154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005771206,0.00072730455,0.0005041646,0.00044335367,0.0002732104,0.0005076155,0.00060858997,0.00078980724,0.0010252392],"category_scores_gemma":[0.0013442002,0.00030567747,0.0004071475,0.00046742117,0.00018402867,0.00048413535,0.00031853875,0.00071645976,0.00019351038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008759834,0.000060124155,0.0010653562,0.00003588613,0.000036204343,0.000048988164,0.000010700747,0.9472978,0.0016941453,0.00041050863,0.00044760937,0.048805185],"study_design_scores_gemma":[8.842587e-7,0.000005585602,0.00007734444,0.0000012579674,0.000001603175,0.0000013078595,8.3227167e-7,0.9996325,0.00017866811,0.00006402419,0.00003494899,0.0000010020614],"about_ca_topic_score_codex":0.011158242,"about_ca_topic_score_gemma":0.0071535474,"teacher_disagreement_score":0.011158242,"about_ca_system_score_codex":0.00053904916,"about_ca_system_score_gemma":0.0006495905,"threshold_uncertainty_score":0.022186577},"labels":[],"label_agreement":null},{"id":"W3087497664","doi":"10.3390/en13184926","title":"Synchronous Condenser’s Loss of Excitation and Its Impact on the Performance of UHVDC","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","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":"Fundamental Research Funds for the Central Universities; China Electric Power Research Institute; Electric Power Research Institute","keywords":"Overvoltage; Transient (computer programming); Fault (geology); Electrical engineering; Rectifier (neural networks); Excitation; Voltage; AC power; Direct current; Electric power system; Control theory (sociology); Engineering; Power (physics); Computer science; Physics","score_opus":0.011070617965272365,"score_gpt":0.22057784851037585,"score_spread":0.20950723054510348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087497664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98016584,0.00040790823,0.01021116,0.00013554152,0.000031828786,0.000019952184,0.00014800693,0.00031541678,0.008564491],"genre_scores_gemma":[0.9995722,0.00002927176,0.00014997226,0.0000049427617,0.0000011319626,0.0000013878146,0.000029917006,0.000009273505,0.0002018236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968123,0.000044489203,0.000011767045,0.000046945483,0.00013114931,0.000084307394],"domain_scores_gemma":[0.9992866,0.00031754046,0.000100016536,0.0000749025,0.00017386279,0.000047002686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003657467,0.00028546597,0.0003828218,0.0004146075,0.00042684193,0.00066403835,0.0004471012,0.000402689,0.0015392532],"category_scores_gemma":[0.0013844656,0.00010962915,0.00024839677,0.000438478,0.0005605272,0.0006646734,0.00033468005,0.00046289933,0.00025731832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019713894,0.00020560644,0.024340177,0.00042758213,0.000095810385,0.0010335519,0.00034705157,0.7987209,0.10355966,0.0034414856,0.0024249845,0.06343176],"study_design_scores_gemma":[0.00010743503,0.0012926621,0.03645628,0.000054746422,0.000095890275,0.00038732664,0.00034452073,0.87086076,0.08620244,0.0011309712,0.0030072469,0.000059605758],"about_ca_topic_score_codex":0.0060558426,"about_ca_topic_score_gemma":0.004068134,"teacher_disagreement_score":0.0060558426,"about_ca_system_score_codex":0.00082825194,"about_ca_system_score_gemma":0.00032222908,"threshold_uncertainty_score":0.0120411515},"labels":[],"label_agreement":null},{"id":"W3087775335","doi":"10.3390/en13195047","title":"Gas Pressure Cycling (GPC) and Solvent-Assisted Gas Pressure Cycling (SA-GPC) Enhanced Oil Recovery Processes in a Thin Heavy Oil Reservoir","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petroleum Technology Research Centre; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Petroleum Technology Development Fund; Petroleum Technology Research Centre; Australian Government","keywords":"Solvent; Oil in place; Cycling; Chemistry; Petroleum engineering; Fossil fuel; Materials science; Chromatography; Petroleum; Organic chemistry; Geology","score_opus":0.014543078402179508,"score_gpt":0.23330868371550006,"score_spread":0.21876560531332057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087775335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98187953,0.00092019245,0.015924722,0.00005801276,0.000025338508,0.00004271152,0.00006473594,0.00020279519,0.00088191836],"genre_scores_gemma":[0.98585516,0.00037187827,0.0126559185,0.00003182152,0.000006912961,0.00002475315,0.00006116569,0.000017467031,0.00097495783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971527,0.000024992994,0.000017407103,0.000060572496,0.00014266577,0.0000390754],"domain_scores_gemma":[0.99982774,0.000038103302,0.00003841903,0.000020580137,0.000057982466,0.00001720747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023539356,0.00034815143,0.0002929237,0.00030137107,0.00014550875,0.00022387033,0.0004504461,0.0003249658,0.0004060295],"category_scores_gemma":[0.00035017828,0.00016614869,0.00022091136,0.00028652363,0.00034980924,0.00046872132,0.0003218269,0.00043252303,0.00013878997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008327268,0.000015811776,0.0003244841,0.00006781374,0.0000042314164,0.00009970313,0.000024886782,0.00044919585,0.99022406,0.0000957803,0.00003242213,0.008578356],"study_design_scores_gemma":[0.0000051144093,0.00016687892,0.0009444954,0.0000022734,0.00000729603,0.000101346035,0.0000163526,0.005029899,0.99298495,0.000026224174,0.00070677634,0.000008330788],"about_ca_topic_score_codex":0.00094427215,"about_ca_topic_score_gemma":0.001614677,"teacher_disagreement_score":0.00094427215,"about_ca_system_score_codex":0.00019425871,"about_ca_system_score_gemma":0.00030256985,"threshold_uncertainty_score":0.0018775463},"labels":[],"label_agreement":null},{"id":"W3087903902","doi":"10.3390/en13225923","title":"Optimization of Spatial Configuration of Multistrand Cable Lines","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overheating (electricity); Engineering; Computer science; Structural engineering; Reliability engineering; Mechanical engineering; Electrical engineering","score_opus":0.009236266723918557,"score_gpt":0.19828442756642803,"score_spread":0.18904816084250947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087903902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5376635,0.0010722455,0.42573467,0.00021391679,0.00008160703,0.00013826648,0.0002980399,0.0008392395,0.033958483],"genre_scores_gemma":[0.9668077,0.00019211887,0.031133706,0.000013946885,0.000007527655,0.00004365288,0.00008136834,0.000059216087,0.001660624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999752,0.00007007671,0.000012635402,0.000048567574,0.00006593126,0.000050807204],"domain_scores_gemma":[0.9996019,0.00008025539,0.00010800739,0.000048167683,0.00012342032,0.000038252394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026438604,0.0011656814,0.00035886813,0.00079238054,0.00036827705,0.0007083022,0.0006169048,0.00043420316,0.003232486],"category_scores_gemma":[0.0010362456,0.00028705626,0.0002664146,0.0006585267,0.0002691828,0.00081858854,0.0005743196,0.00021430725,0.00064844615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031712803,0.00009988212,0.003748537,0.00030884708,0.000043063854,0.00035262736,0.00013113064,0.84814316,0.05821002,0.0054486534,0.0014497803,0.08174725],"study_design_scores_gemma":[0.000119182216,0.0015565988,0.0071218284,0.00011149527,0.00016847508,0.00084519584,0.0007768408,0.9022175,0.06710986,0.007653139,0.01222781,0.000092143186],"about_ca_topic_score_codex":0.00075894524,"about_ca_topic_score_gemma":0.001754855,"teacher_disagreement_score":0.003232486,"about_ca_system_score_codex":0.0004587017,"about_ca_system_score_gemma":0.00043273854,"threshold_uncertainty_score":0.010813713},"labels":[],"label_agreement":null},{"id":"W3088054581","doi":"10.3390/en13184959","title":"Special Issue “Selected Papers from the 2018 IEEE International Conference on High Voltage Engineering (ICHVE 2018)”","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Engineering; High voltage; Electrical engineering; Telecommunications; Engineering physics; Engineering management; Voltage","score_opus":0.02327246532753837,"score_gpt":0.22744102900734342,"score_spread":0.20416856367980504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088054581","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008937496,0.017014178,0.0017442111,0.027258778,0.90494746,0.00019307474,0.0017403098,0.0005745624,0.045633603],"genre_scores_gemma":[0.005438415,0.026211994,0.001449117,0.012007232,0.64626276,0.00019302174,0.0061874054,0.00093655626,0.30131355],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821955,0.00020374067,0.00016406454,0.00020861361,0.0009940783,0.00020987817],"domain_scores_gemma":[0.986187,0.0012885603,0.0007730691,0.0004103179,0.009083698,0.0022572887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024997923,0.0019611965,0.0018916811,0.0044010133,0.001770422,0.006271207,0.0018717733,0.002717799,0.14393997],"category_scores_gemma":[0.0061957957,0.0004301358,0.0011939069,0.002516208,0.0005663567,0.0035929778,0.0018336724,0.0028011147,0.06621994],"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":[0.000042636602,0.000016019236,0.00006479684,0.0002151429,0.0000080464315,0.000058301564,0.000007604403,0.00003222188,0.00027567314,0.0002360574,0.985953,0.013090535],"study_design_scores_gemma":[0.000014209291,0.0000397086,0.00056225056,0.00020613238,0.00001607733,0.00011614889,0.0000260088,0.0001348909,0.00037535,0.00044771857,0.99804974,0.000011721453],"about_ca_topic_score_codex":0.0010229435,"about_ca_topic_score_gemma":0.002888577,"teacher_disagreement_score":0.14393997,"about_ca_system_score_codex":0.0012391094,"about_ca_system_score_gemma":0.0021570534,"threshold_uncertainty_score":0.48152715},"labels":[],"label_agreement":null},{"id":"W3088901647","doi":"10.3390/en13195041","title":"Impact of Powertrain Components Size and Degradation Level on the Energy Management of a Hybrid Industrial Self-Guided Vehicle","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Energy management; Acceleration; Sizing; Driving cycle; Battery pack; Context (archaeology); Computer science; Engineering; Energy (signal processing); Power (physics); Simulation; Electric vehicle; Chemistry","score_opus":0.07666753330542754,"score_gpt":0.27749373895522966,"score_spread":0.20082620564980214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088901647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818459,0.00020056621,0.0159759,0.00003278828,0.000010186233,0.000020544678,0.00006908965,0.00013674442,0.0017082004],"genre_scores_gemma":[0.9990871,0.00003213424,0.0005864421,0.00000514265,6.77419e-7,0.0000049356304,0.000035854933,0.000008738621,0.00023896006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998406,0.000022983962,0.000009179878,0.000033748558,0.000059254577,0.00003416683],"domain_scores_gemma":[0.9996897,0.00013444187,0.000033040225,0.000031873657,0.00009681176,0.000014247115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809308,0.00040510896,0.00025161536,0.00030218586,0.00023466907,0.00043998696,0.0003884231,0.00028394672,0.0006578276],"category_scores_gemma":[0.00066500483,0.00013889032,0.00025287966,0.00015675201,0.0002428211,0.0006171633,0.0002541014,0.00022179776,0.00015108717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013002583,0.00026423557,0.039816793,0.00043845468,0.00011987232,0.00067578664,0.0002657828,0.6585448,0.19265397,0.0006784438,0.0006411388,0.1046005],"study_design_scores_gemma":[0.000037675934,0.0024506953,0.079921246,0.0000426499,0.00018192074,0.0006118853,0.000754001,0.6682339,0.24334241,0.0009840382,0.0033896572,0.00004990817],"about_ca_topic_score_codex":0.0019146738,"about_ca_topic_score_gemma":0.0028698551,"teacher_disagreement_score":0.0019146738,"about_ca_system_score_codex":0.00039798385,"about_ca_system_score_gemma":0.00019073568,"threshold_uncertainty_score":0.0038070679},"labels":[],"label_agreement":null},{"id":"W3088931144","doi":"10.3390/en13184984","title":"A Novel Data-Energy Management Algorithm for Smart Transformers to Optimize the Total Load Demand in Smart Homes","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","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":"McGill University; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Electricity; Demand response; Computer science; Smart grid; Revenue; Transformer; Energy management; Peak demand; Energy storage; Operations research; Voltage; Mathematical optimization; Power (physics); Electrical engineering; Energy (signal processing); Engineering; Business","score_opus":0.011470957994149973,"score_gpt":0.20458441286726237,"score_spread":0.1931134548731124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088931144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027908403,0.0001330137,0.96920097,0.0001427018,0.00003703149,0.000062093946,0.000042656975,0.00048301733,0.001990159],"genre_scores_gemma":[0.8018693,0.000090576956,0.19521162,0.00009681856,0.000036274254,0.00013197584,0.0001296531,0.000052663545,0.0023811767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999813,0.000027759352,0.000010843145,0.00006473222,0.00004475821,0.000038850987],"domain_scores_gemma":[0.9997992,0.00007317211,0.00003413119,0.00002028226,0.000054964643,0.000018334018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035130142,0.0005720679,0.0009180033,0.00040333753,0.00045514797,0.0006743017,0.0008568734,0.0006619264,0.0018166362],"category_scores_gemma":[0.000603466,0.00024996215,0.0003775877,0.0004700083,0.00031608803,0.00088517636,0.000529063,0.00052829506,0.00025008278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020660956,0.000188922,0.0010405149,0.0000809645,0.000035603884,0.000080797276,0.00009700492,0.79310584,0.010061153,0.0075598964,0.003005105,0.18453768],"study_design_scores_gemma":[0.0000150381575,0.000025101592,0.00006654651,0.0000015720832,0.0000032696855,0.000011624156,0.000008559589,0.99762887,0.0008817604,0.0010210185,0.00033395397,0.0000027318774],"about_ca_topic_score_codex":0.0030252738,"about_ca_topic_score_gemma":0.004184459,"teacher_disagreement_score":0.0030252738,"about_ca_system_score_codex":0.0005824519,"about_ca_system_score_gemma":0.0009826041,"threshold_uncertainty_score":0.00607723},"labels":[],"label_agreement":null},{"id":"W3089024916","doi":"10.3390/en13184986","title":"Thermal Viscous Fingering in Thermal Recovery Processes","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Heat transfer; Thermal conduction; Mechanics; Steam injection; Thermal; Viscosity; Fluid dynamics; Asphalt; Geology; Materials science; Flow (mathematics); Petroleum engineering; Thermodynamics; Composite material; Physics","score_opus":0.009726834633945193,"score_gpt":0.2017512388682473,"score_spread":0.19202440423430212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089024916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9243911,0.0021017892,0.06409757,0.00015845358,0.000041423642,0.000047106812,0.000059686976,0.00028968838,0.0088132555],"genre_scores_gemma":[0.9957884,0.00030220413,0.0031106751,0.000009105092,0.000003887248,0.0000067568767,0.000010395081,0.000013759639,0.00075481896],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991083,0.0000129878545,0.000004438818,0.000022655886,0.000027458655,0.000021729604],"domain_scores_gemma":[0.99981886,0.000082825616,0.000040168517,0.000023838084,0.000018116873,0.000016175898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013743273,0.0002347879,0.00027295863,0.000243382,0.0002962736,0.00075156736,0.00028986417,0.00033245148,0.0015069469],"category_scores_gemma":[0.0006459225,0.00022366234,0.00022031249,0.00018813563,0.0008133953,0.0010087664,0.0004978703,0.00035271523,0.00015490274],"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":[0.0004892444,0.00016670166,0.004727335,0.00045952984,0.00002981827,0.00078552664,0.00044261175,0.28949928,0.6277098,0.0375886,0.00025843328,0.03784316],"study_design_scores_gemma":[0.000060152983,0.00051450764,0.009976355,0.00005932248,0.00004267422,0.000706199,0.00022746598,0.7371308,0.23249355,0.014206818,0.0044862335,0.00009597763],"about_ca_topic_score_codex":0.00126674,"about_ca_topic_score_gemma":0.0007023675,"teacher_disagreement_score":0.0015069469,"about_ca_system_score_codex":0.0004011258,"about_ca_system_score_gemma":0.0002634005,"threshold_uncertainty_score":0.0050412416},"labels":[],"label_agreement":null},{"id":"W3089401834","doi":"10.3390/en13195143","title":"Development of a Tool for Optimizing Solar and Battery Storage for Container Farming in a Remote Arctic Microgrid","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Photovoltaic system; Microgrid; Environmental science; Renewable energy; Electricity; Photovoltaics; Engineering; Electrical engineering","score_opus":0.02325833516051189,"score_gpt":0.2370494225557861,"score_spread":0.2137910873952742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089401834","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078762844,0.00017302831,0.89527744,0.00019347231,0.00006793609,0.00022448403,0.0007724492,0.0062805633,0.018247819],"genre_scores_gemma":[0.60188085,0.000238649,0.3890832,0.000077745695,0.000022027087,0.00047888354,0.0008200974,0.00056629395,0.006832161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999175,0.000017292707,0.000004947474,0.000015948983,0.000028629185,0.00001564626],"domain_scores_gemma":[0.9998266,0.00008705784,0.000019451958,0.000015241207,0.000039606985,0.000012122563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029290668,0.00096973946,0.0006033053,0.0003540804,0.00042918537,0.00063557154,0.00093931274,0.0006152845,0.0061132973],"category_scores_gemma":[0.00070655305,0.000483129,0.00093249383,0.00033717937,0.00016814984,0.00046616036,0.00049608253,0.00061195705,0.0008055292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027572523,0.000038733524,0.00072785217,0.00006740361,0.000022843062,0.00008407104,0.000027467779,0.9815227,0.002341465,0.0012766556,0.0008479675,0.01301525],"study_design_scores_gemma":[0.000007687351,0.000012109793,0.00007543012,0.000004482911,0.0000049536616,0.000008110213,0.000009564062,0.99823254,0.00061537005,0.0003179451,0.00070891506,0.0000028572015],"about_ca_topic_score_codex":0.013163746,"about_ca_topic_score_gemma":0.017383905,"teacher_disagreement_score":0.013163746,"about_ca_system_score_codex":0.000539338,"about_ca_system_score_gemma":0.0011166912,"threshold_uncertainty_score":0.026174247},"labels":[],"label_agreement":null},{"id":"W3089969323","doi":"10.3390/en13195172","title":"Micro Nuclear Reactors: Potential Replacements for Diesel Gensets within Micro Energy Grids","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diesel fuel; Renewable energy; Process engineering; Fossil fuel; Diesel generator; Environmental science; Automotive engineering; Greenhouse gas; Particle swarm optimization; Grid; Computer science; Engineering; Waste management; Electrical engineering","score_opus":0.01641062798221772,"score_gpt":0.21964974392536313,"score_spread":0.20323911594314542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089969323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83403057,0.014082623,0.10875715,0.001236012,0.00048333246,0.00015395787,0.00029241518,0.00093977083,0.040024165],"genre_scores_gemma":[0.985021,0.0013349516,0.009890326,0.000041996496,0.00001215563,0.000018775387,0.000050920262,0.000018655393,0.003611261],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990916,0.000016820766,0.0000034701582,0.000018089744,0.000038754686,0.000013737825],"domain_scores_gemma":[0.9999312,0.000013718567,0.000018016146,0.000009387228,0.000017064243,0.000010572315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015280097,0.00024704039,0.00021873912,0.00025212782,0.00020814629,0.00046054908,0.0005581907,0.0002524706,0.0017005759],"category_scores_gemma":[0.0001872767,0.00010842567,0.00026763103,0.0003044153,0.00023013077,0.0007015601,0.00028947284,0.00025512144,0.00040729463],"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":[0.0019107353,0.000424232,0.0140990205,0.0013709666,0.00014323053,0.0025348943,0.00025242943,0.17945449,0.45977616,0.02731612,0.0040380755,0.3086797],"study_design_scores_gemma":[0.00019846942,0.004196344,0.010235748,0.00019432225,0.0002565232,0.0020781385,0.0007618232,0.43239978,0.43816915,0.0077778627,0.10362349,0.0001084545],"about_ca_topic_score_codex":0.0012363272,"about_ca_topic_score_gemma":0.0036803128,"teacher_disagreement_score":0.0017005759,"about_ca_system_score_codex":0.00040504907,"about_ca_system_score_gemma":0.00024728474,"threshold_uncertainty_score":0.005689025},"labels":[],"label_agreement":null},{"id":"W3092185379","doi":"10.3390/en13195232","title":"A Linear Relaxation-Based Heuristic for Iron Ore Stockyard Energy Planning","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Heuristic; Mathematical optimization; Linear programming; Relaxation (psychology); Computer science; Integer programming; Computation; Work (physics); Operations research; Algorithm; Mathematics; Engineering","score_opus":0.024844784342985052,"score_gpt":0.22554680980500713,"score_spread":0.2007020254620221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092185379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06038523,0.0011613434,0.9207412,0.000660247,0.000119363816,0.00032068102,0.0003533596,0.00057796814,0.015680635],"genre_scores_gemma":[0.5249118,0.0007524828,0.46764323,0.00024360185,0.0000603979,0.00045806545,0.0005385404,0.00014250126,0.0052494155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945754,0.00023972604,0.000020156647,0.0000709786,0.000080005324,0.00013172821],"domain_scores_gemma":[0.9991881,0.0005923655,0.000078575766,0.000026066866,0.00006258897,0.00005233421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010590183,0.0009286631,0.001130494,0.0009551529,0.00049846433,0.0011455237,0.0011881285,0.0012740903,0.0047093555],"category_scores_gemma":[0.0017515245,0.00091399945,0.0011802611,0.0011039312,0.0005574381,0.0009925081,0.00086844474,0.0013193281,0.0003968036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053715532,0.000057764646,0.00015068441,0.00006480751,0.000018510184,0.000061491315,0.000027091462,0.98372006,0.00037972975,0.0031146016,0.00085233134,0.011499156],"study_design_scores_gemma":[0.00002481588,0.00004128739,0.000049518316,0.000012291069,0.000009014894,0.0000131408215,0.000028127346,0.9977149,0.00021746937,0.0013138966,0.00056981266,0.000005617138],"about_ca_topic_score_codex":0.010693213,"about_ca_topic_score_gemma":0.0097802365,"teacher_disagreement_score":0.010693213,"about_ca_system_score_codex":0.0012527729,"about_ca_system_score_gemma":0.0021886951,"threshold_uncertainty_score":0.02126199},"labels":[],"label_agreement":null},{"id":"W3092221573","doi":"10.3390/en13205305","title":"Image Characteristic Extraction of Ice-Covered Outdoor Insulator for Monitoring Icing Degree","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Key Research and Development Program of China; Natural Science Foundation of Tianjin City","keywords":"Icing; Insulator (electricity); Icing conditions; Canny edge detector; Edge detection; Image processing; Computer vision; Remote sensing; Environmental science; Artificial intelligence; Computer science; Meteorology; Acoustics; Geology; Engineering; Physics; Electrical engineering; Image (mathematics)","score_opus":0.03732302654681833,"score_gpt":0.2524171548342306,"score_spread":0.21509412828741228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092221573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6582577,0.0010030842,0.32768095,0.00014282714,0.0000927531,0.00022924341,0.0018446895,0.002765173,0.007983542],"genre_scores_gemma":[0.8168001,0.0009838643,0.17665239,0.000099694815,0.00008384704,0.00013036105,0.0016162302,0.00011975089,0.0035138153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998574,0.000006961909,0.000009539844,0.000038313916,0.00005796373,0.00002986174],"domain_scores_gemma":[0.9997695,0.000031056294,0.00003760755,0.000017105536,0.000121262245,0.000023443952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014031077,0.0004157535,0.0003074891,0.0023861716,0.00014513171,0.0004114351,0.00026379534,0.000424639,0.0012951536],"category_scores_gemma":[0.0004317531,0.00014353704,0.0002961197,0.0013217995,0.00013019447,0.0004452004,0.00019216226,0.00023278335,0.00051651103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004724518,0.00011081282,0.008899795,0.0005377643,0.00005196472,0.0008738634,0.00026739007,0.0058372123,0.72203285,0.0006023757,0.0034103177,0.25690314],"study_design_scores_gemma":[0.000048882608,0.00047874337,0.19517154,0.00008148309,0.00025767027,0.0026694457,0.00061327696,0.25667185,0.5323381,0.0005982677,0.010966221,0.00010458845],"about_ca_topic_score_codex":0.0016110267,"about_ca_topic_score_gemma":0.001670588,"teacher_disagreement_score":0.0023861716,"about_ca_system_score_codex":0.00017161261,"about_ca_system_score_gemma":0.00024730642,"threshold_uncertainty_score":0.0043327212},"labels":[],"label_agreement":null},{"id":"W3092245232","doi":"10.3390/en13205306","title":"The Paradoxical Malthusian. A Promethean Perspective on Vaclav Smil’s Growth: From Microorganisms to Megacities (MIT Press, 2019) and Energy and Civilization: A History (MIT Press, 2017)","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Civilization; Context (archaeology); History; Economy; Environmental ethics; Sociology; Economics; Philosophy; Archaeology","score_opus":0.02149681748445433,"score_gpt":0.24876511707851603,"score_spread":0.2272682995940617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092245232","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022016399,0.21473722,0.015697088,0.4720452,0.0054140533,0.000029584935,0.00042265293,0.00016763694,0.26947013],"genre_scores_gemma":[0.7371827,0.11336451,0.0057264687,0.053437285,0.009825005,0.00016733175,0.0002534221,0.0003254535,0.07971783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843913,0.00072982284,0.000044214794,0.00025577494,0.00034288838,0.00018823615],"domain_scores_gemma":[0.99764794,0.0016171592,0.00023123692,0.00015638486,0.0002100232,0.0001373237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015960278,0.0007525574,0.00045916802,0.0021263135,0.0040510544,0.008804257,0.001054145,0.0033481123,0.006552984],"category_scores_gemma":[0.0046116426,0.00036032632,0.00045676698,0.0027384732,0.021872435,0.015659928,0.004551931,0.007016007,0.0015679417],"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":[0.00001037544,0.000004374366,0.00012199175,0.000064532614,0.0000028595307,0.00005093328,0.003380518,0.00007630671,0.000048289665,0.96796364,0.022833208,0.0054430375],"study_design_scores_gemma":[0.0000063927987,0.0000130681765,0.0004441771,0.00024598956,0.00000453106,0.00015204458,0.003486426,0.00036662005,0.00015453028,0.69052124,0.3045871,0.000017873343],"about_ca_topic_score_codex":0.0036757106,"about_ca_topic_score_gemma":0.005507208,"teacher_disagreement_score":0.008804257,"about_ca_system_score_codex":0.004697873,"about_ca_system_score_gemma":0.0022478728,"threshold_uncertainty_score":0.03408563},"labels":[],"label_agreement":null},{"id":"W3092651889","doi":"10.3390/en13205413","title":"Real-Time Digital Twin of a Wound Rotor Induction Machine Based on Finite Element Method","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Harmonics; Rotor (electric); Finite element method; Rotation (mathematics); Fault (geology); Harmonic; Computer science; Power (physics); Torque; Reliability (semiconductor); Process (computing); Control engineering; Electronic engineering; Engineering; Electrical engineering; Artificial intelligence; Acoustics; Voltage; Physics; Structural engineering","score_opus":0.011778560388924606,"score_gpt":0.23265638125543697,"score_spread":0.22087782086651236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092651889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062331453,0.00008404469,0.932685,0.000069375266,0.000051808758,0.000046600653,0.000064890155,0.00096675404,0.0037000775],"genre_scores_gemma":[0.74768436,0.00008647025,0.24843934,0.000022302182,0.000009302653,0.000076271455,0.00013344569,0.00009542592,0.0034530754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990034,0.000021450593,0.0000057065054,0.000015178143,0.00004991247,0.0000073365004],"domain_scores_gemma":[0.9997757,0.00009124275,0.000028693095,0.000036172263,0.000054145607,0.000014096466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021612762,0.00030267832,0.00037440512,0.00023020452,0.0001394712,0.00031112085,0.0005392961,0.00038621746,0.0020005305],"category_scores_gemma":[0.0006493565,0.00020953619,0.000258002,0.00018476817,0.00023209986,0.0004306322,0.00031353752,0.00037819022,0.0003078587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014687744,0.000059533973,0.001282893,0.000112494294,0.00002049508,0.00008467393,0.000085651285,0.9042786,0.029394155,0.0043446464,0.00045675464,0.05973327],"study_design_scores_gemma":[0.000002465141,0.00001950834,0.00006529769,0.0000019207641,0.0000014688562,0.000010528046,0.0000030067717,0.9971545,0.0021334407,0.00014044075,0.00046555029,0.0000018957613],"about_ca_topic_score_codex":0.0013269243,"about_ca_topic_score_gemma":0.0015452353,"teacher_disagreement_score":0.0020005305,"about_ca_system_score_codex":0.00021510525,"about_ca_system_score_gemma":0.00035589043,"threshold_uncertainty_score":0.006692469},"labels":[],"label_agreement":null},{"id":"W3092784051","doi":"10.3390/en13205437","title":"Longitudinal Modelling and Control of In-Wheel-Motor Electric Vehicles as Multi-Agent Systems","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle Dynamics and Control 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":"Université de Sherbrooke","funders":"University of Tokyo","keywords":"CarSim; Control theory (sociology); Control engineering; Linear-quadratic regulator; Nonlinear system; Passivity; MATLAB; Engineering; Control system; Stability (learning theory); Computer science; Control (management); Vehicle dynamics; Automotive engineering","score_opus":0.01360933093910298,"score_gpt":0.19418697723217807,"score_spread":0.18057764629307507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092784051","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019749155,0.00038671796,0.97307587,0.0001351032,0.000044952336,0.000029844756,0.000055849625,0.00022880336,0.006293743],"genre_scores_gemma":[0.9536893,0.0007215818,0.03744116,0.000043977998,0.000047336725,0.00013346355,0.00012001935,0.000028255163,0.0077750334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.000052313626,0.000009879916,0.000033515444,0.000045090153,0.00002242648],"domain_scores_gemma":[0.99985003,0.00003882083,0.000049399765,0.000011732309,0.00003876079,0.0000112734615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030705935,0.0005511782,0.00039493968,0.00023651299,0.00033262168,0.0008749291,0.0006336014,0.0005233889,0.0013360624],"category_scores_gemma":[0.00043262157,0.00021986426,0.00039280308,0.00018259646,0.00033326956,0.0006562093,0.00062304264,0.00052261946,0.00034488988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002766305,0.00002526761,0.00054390385,0.00006560179,0.000021006019,0.000077726916,0.00008056187,0.96404135,0.0041162795,0.017969063,0.00032854872,0.012703022],"study_design_scores_gemma":[0.0000028373552,0.000028714487,0.00014499023,0.000005026899,0.000004697813,0.000009243007,0.000011666052,0.99636,0.00040986118,0.0018096473,0.0012098905,0.0000034706893],"about_ca_topic_score_codex":0.0051783617,"about_ca_topic_score_gemma":0.0047419714,"teacher_disagreement_score":0.0051783617,"about_ca_system_score_codex":0.00038304506,"about_ca_system_score_gemma":0.00046622258,"threshold_uncertainty_score":0.010296464},"labels":[],"label_agreement":null},{"id":"W3092844547","doi":"10.3390/en13205401","title":"Investigation of Steam Treatment on the Sorption Behavior of Rice Straw Pellets","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Jiangsu Province","keywords":"Pellets; Steam explosion; Pulp and paper industry; Straw; Sorption; Water content; Equilibrium moisture content; Cellulose; Heat of combustion; Biomass (ecology); Moisture; Waste management; Raw material; Biofuel; Lignin; Pyrolysis; Relative humidity; Materials science; Chemistry; Agronomy; Adsorption; Composite material; Organic chemistry; Engineering","score_opus":0.027666926347549834,"score_gpt":0.20414655635751902,"score_spread":0.1764796300099692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092844547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845386,0.00043894124,0.00045416947,0.000020428788,0.0000100234,0.000007815013,0.00008207323,0.0000095960795,0.00052307616],"genre_scores_gemma":[0.99838924,0.00036531204,0.00030809556,0.000019230536,0.0000042761003,0.000006499619,0.00009745129,0.0000073442366,0.0008026961],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993277,0.000007261664,0.0000041150392,0.0000100051575,0.000025444702,0.000020412273],"domain_scores_gemma":[0.99993575,0.0000139870435,0.0000138880205,0.0000034988057,0.000025057892,0.000007789322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008621546,0.00021198357,0.00020792591,0.0001481605,0.0001468981,0.000120923425,0.000093151175,0.0001547191,0.0014856573],"category_scores_gemma":[0.00014636609,0.00010962059,0.00028547112,0.00015161825,0.00014360821,0.00017761011,0.00009282707,0.0002850773,0.00018043064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012972562,0.000021743577,0.0008261464,0.00007766494,0.000009610048,0.000060455823,0.000049035527,0.00009849063,0.9966627,0.000024385743,0.000028665663,0.0020113995],"study_design_scores_gemma":[0.00000530553,0.00035387592,0.015853267,0.0000063899934,0.00001803291,0.00006339653,0.00010135568,0.0008706335,0.98203033,0.000020225274,0.00066940126,0.000007830147],"about_ca_topic_score_codex":0.0013774636,"about_ca_topic_score_gemma":0.0023038152,"teacher_disagreement_score":0.0014856573,"about_ca_system_score_codex":0.00009917335,"about_ca_system_score_gemma":0.0001242378,"threshold_uncertainty_score":0.0049699545},"labels":[],"label_agreement":null},{"id":"W3093641434","doi":"10.3390/en13215574","title":"Heat Generated Using Luminescent Solar Concentrators for Building Energy Applications","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Photochemistry and Electron Transfer Studies","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Photovoltaic system; Solar energy; Thermal; Radiation; Materials science; Electricity generation; Optics; Optoelectronics; Thermal energy; Electricity; Engineering physics; Environmental science; Process engineering; Electrical engineering; Power (physics); Engineering; Physics; Meteorology","score_opus":0.02282067225699806,"score_gpt":0.2513839618446893,"score_spread":0.22856328958769126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093641434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582601,0.00392983,0.02718624,0.00019343874,0.00011090363,0.000048760914,0.00029944896,0.00036169353,0.009609523],"genre_scores_gemma":[0.99322367,0.00081319595,0.0040603224,0.000036572885,0.0000123925865,0.000017886541,0.0000771484,0.000025700108,0.001733146],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991524,0.00000671836,0.0000021566445,0.000016729295,0.00004077541,0.000018364111],"domain_scores_gemma":[0.9999168,0.000025148964,0.000013522401,0.000008566171,0.000028889139,0.0000071894087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015826891,0.00023599964,0.00020976106,0.00029885262,0.00022365186,0.00032413937,0.00022417748,0.00025166912,0.0017482318],"category_scores_gemma":[0.00018202436,0.00013896477,0.00025456262,0.00032394257,0.0001899868,0.00044390766,0.00017768158,0.00040559447,0.0003398455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006323926,0.000028195283,0.00075670285,0.00020181581,0.000010227347,0.000059131,0.00003670029,0.0016894946,0.983904,0.0004741996,0.00035596135,0.012420428],"study_design_scores_gemma":[0.000004498569,0.00008271914,0.0022808842,0.000009841055,0.000011985149,0.00003735612,0.000034813922,0.0041609514,0.9908263,0.000116201336,0.0024270914,0.0000074093996],"about_ca_topic_score_codex":0.00044244342,"about_ca_topic_score_gemma":0.0010410973,"teacher_disagreement_score":0.0017482318,"about_ca_system_score_codex":0.00035289736,"about_ca_system_score_gemma":0.00013291031,"threshold_uncertainty_score":0.0058484077},"labels":[],"label_agreement":null},{"id":"W3093869865","doi":"10.3390/en13205517","title":"Distributed Battery Energy Storage Co-Operation for Renewable Energy Sources Integration","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Renewable energy; Profit (economics); Profitability index; Energy storage; Ampacity; Computer science; Renewable resource; Reliability engineering; Distributed generation; Environmental economics; Operations research; Power (physics); Business; Electrical engineering; Engineering; Economics; Microeconomics; Finance","score_opus":0.007728154676465336,"score_gpt":0.18159415568537993,"score_spread":0.17386600100891458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093869865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13319331,0.0013582755,0.83938146,0.00036368825,0.00016245781,0.00016218367,0.00010599558,0.0010209143,0.024251653],"genre_scores_gemma":[0.9810994,0.0001465678,0.015514751,0.000019054969,0.000017336697,0.000044965225,0.000034078308,0.000019601484,0.0031043026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998242,0.000059858714,0.000010148655,0.000034152068,0.000052349948,0.000019348916],"domain_scores_gemma":[0.99986136,0.00003493846,0.00002109054,0.000022464836,0.00004559599,0.000014472111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029217202,0.00036215413,0.00038354634,0.00018211204,0.00036450615,0.00068087876,0.0005780799,0.00031161748,0.002360196],"category_scores_gemma":[0.00036398994,0.0001289723,0.00022671412,0.00025746238,0.00018680695,0.0007218101,0.0006003292,0.00041798182,0.0004027372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000434807,0.0002483308,0.0020982728,0.00022418436,0.00013997185,0.0005459832,0.0001358855,0.77405894,0.02299938,0.02266836,0.003323664,0.17312226],"study_design_scores_gemma":[0.000022725928,0.00011886726,0.00040132573,0.000008916337,0.000020435331,0.00007991497,0.000030951152,0.9881981,0.0032381807,0.0041617407,0.0037112383,0.000007600061],"about_ca_topic_score_codex":0.0013129001,"about_ca_topic_score_gemma":0.002673409,"teacher_disagreement_score":0.002360196,"about_ca_system_score_codex":0.0003652401,"about_ca_system_score_gemma":0.00036731194,"threshold_uncertainty_score":0.0078956485},"labels":[],"label_agreement":null},{"id":"W3093949886","doi":"10.3390/en13215538","title":"Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Mitacs; Canada Research Chairs; European Commission","keywords":"Benchmark (surveying); Energy management; Computer science; Quadratic programming; Battery (electricity); State of charge; Fuel efficiency; Power (physics); Automotive engineering; Control engineering; Energy (signal processing); Mathematical optimization; Engineering","score_opus":0.013210371531450469,"score_gpt":0.20754356026522716,"score_spread":0.1943331887337767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093949886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03848554,0.00027517043,0.95144093,0.0001680951,0.00004200807,0.000058590183,0.000025347555,0.0003744042,0.00912999],"genre_scores_gemma":[0.97029895,0.00014054304,0.025917223,0.000037522685,0.000016842525,0.00006757756,0.000031503212,0.00003882174,0.0034509993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984264,0.00004371247,0.0000060265265,0.000031488635,0.00005466253,0.000021334152],"domain_scores_gemma":[0.99982905,0.00007342525,0.00003645645,0.0000094326615,0.000042778935,0.0000088495435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043570634,0.0005218462,0.00049227406,0.00018464983,0.00031232001,0.000581493,0.0005433195,0.00031340096,0.0014094723],"category_scores_gemma":[0.0004667226,0.00021854628,0.00029009586,0.0002620501,0.00043133044,0.0004176827,0.0005831548,0.00045244806,0.00020171338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004705777,0.000033410604,0.00016929112,0.000053072814,0.000012905454,0.000034008703,0.000024688756,0.9753668,0.004015198,0.002176333,0.00035068538,0.017716594],"study_design_scores_gemma":[0.0000037836032,0.000017514638,0.000028304781,0.0000010458731,0.0000017173849,0.000002975423,0.0000033418853,0.99897826,0.0003828494,0.00035586674,0.00022299791,0.0000014924271],"about_ca_topic_score_codex":0.003863712,"about_ca_topic_score_gemma":0.0030550298,"teacher_disagreement_score":0.003863712,"about_ca_system_score_codex":0.0003748439,"about_ca_system_score_gemma":0.0005534379,"threshold_uncertainty_score":0.0076824427},"labels":[],"label_agreement":null},{"id":"W3094542584","doi":"10.3390/en14154393","title":"Bacteria Energy Recovery System Using Natural Soil Bacteria in Microbial Fuel Cells","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","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; Canada First Research Excellence Fund","keywords":"Microbial fuel cell; Capacitor; Power (physics); SIGNAL (programming language); Energy (signal processing); Materials science; Electrical engineering; Voltage; Automotive engineering; Environmental science; Computer science; Engineering; Physics; Electricity generation","score_opus":0.005750041694533425,"score_gpt":0.17708358069674818,"score_spread":0.17133353900221476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094542584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8929546,0.0029184634,0.09598806,0.00025387228,0.00024644448,0.00022931358,0.0005362526,0.0018324952,0.0050405907],"genre_scores_gemma":[0.9440389,0.0009242633,0.04520328,0.00012055017,0.000025788013,0.00013027398,0.00042482675,0.0000681475,0.009064018],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997222,0.000021274127,0.000017099834,0.00006794009,0.00013749718,0.000033977063],"domain_scores_gemma":[0.99993145,0.000008840885,0.000009254675,0.000007754948,0.000031803138,0.000010838496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015243658,0.0003868968,0.00045572213,0.00029210295,0.00020699366,0.0003729716,0.0004899274,0.0004658652,0.0010355863],"category_scores_gemma":[0.00018266663,0.00014208838,0.00021056621,0.00022013338,0.00013889877,0.00048196682,0.0004466925,0.0003012757,0.00088532944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090956084,0.000056994253,0.00039508936,0.00017697325,0.0000065589134,0.000090985326,0.000023191953,0.000723606,0.9785023,0.0002177404,0.00021181349,0.019503834],"study_design_scores_gemma":[0.0000121505545,0.0001982444,0.0007164396,0.00000944992,0.00000834554,0.00012328882,0.00001554413,0.004765835,0.9867727,0.00006226744,0.007307889,0.000007901761],"about_ca_topic_score_codex":0.000520212,"about_ca_topic_score_gemma":0.00085581787,"teacher_disagreement_score":0.0010355863,"about_ca_system_score_codex":0.00030425456,"about_ca_system_score_gemma":0.00021969934,"threshold_uncertainty_score":0.0034644008},"labels":[],"label_agreement":null},{"id":"W3095659898","doi":"10.3390/en13215680","title":"Analysis of Retrofit Solutions of a Ground Source Heat Pump System: An Italian Case Study","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Polytechnique Montréal","funders":"","keywords":"Heat pump; Hybrid heat; Sizing; Work (physics); Air source heat pumps; Thermal; Environmental science; Heat sink; Passive cooling; Engineering; Meteorology; Computer science; Mechanical engineering; Heat exchanger; Chemistry; Physics","score_opus":0.03639150455557898,"score_gpt":0.25645298313870113,"score_spread":0.22006147858312214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095659898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773266,0.00029701,0.014000462,0.00010689322,0.000028676648,0.000060368067,0.00018483236,0.0002668392,0.0077285054],"genre_scores_gemma":[0.99598026,0.00006787513,0.002938119,0.00000617747,0.0000035718576,0.000018612991,0.00006069185,0.000020428652,0.00090419425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99966526,0.00009481207,0.000016470745,0.0000449067,0.000102726015,0.00007590965],"domain_scores_gemma":[0.99953425,0.00020551005,0.00006938852,0.00006089146,0.00010118845,0.000028901562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006224194,0.00077541795,0.000567676,0.0006948443,0.00040482017,0.00084244285,0.0007493079,0.0011249144,0.0019624252],"category_scores_gemma":[0.0011306126,0.00023684268,0.0006910744,0.0005459017,0.00048490893,0.00033000013,0.00043552238,0.00039070757,0.00024416484],"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":[0.00045111604,0.00030104045,0.010136072,0.00037737004,0.000070715774,0.0010641639,0.00020873692,0.94380873,0.013196185,0.0021905138,0.0011338245,0.02706157],"study_design_scores_gemma":[0.00005402073,0.00069677026,0.0076419134,0.000023138062,0.00006912019,0.00020665709,0.00025400813,0.98122394,0.0074232803,0.00042057448,0.0019648962,0.000021646789],"about_ca_topic_score_codex":0.00674784,"about_ca_topic_score_gemma":0.004944653,"teacher_disagreement_score":0.00674784,"about_ca_system_score_codex":0.00083238474,"about_ca_system_score_gemma":0.00040470713,"threshold_uncertainty_score":0.013417125},"labels":[],"label_agreement":null},{"id":"W3096053405","doi":"10.3390/en13215735","title":"CO2 Foam and CO2 Polymer Enhanced Foam for Heavy Oil Recovery and CO2 Storage","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Enhanced oil recovery; Materials science; Petroleum engineering; Viscosity; Porous medium; Pulmonary surfactant; Polymer; Porosity; Composite material; Chemical engineering; Geology","score_opus":0.00954138536454861,"score_gpt":0.2133862155012471,"score_spread":0.2038448301366985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096053405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84959036,0.02347061,0.11137827,0.00046663533,0.00019715396,0.000100776226,0.0005147308,0.0006476808,0.013633735],"genre_scores_gemma":[0.9664092,0.004740355,0.022054229,0.00007083871,0.000026155914,0.000054183856,0.00023259636,0.00005338071,0.00635901],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977285,0.000027756012,0.000012082094,0.00004824102,0.00009951277,0.000039607046],"domain_scores_gemma":[0.99989104,0.000025481086,0.000027405265,0.000009951035,0.000038604227,0.000007499467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022966236,0.000378585,0.00019433875,0.0006575243,0.00016201878,0.0002601651,0.00022541569,0.0004655258,0.0011760455],"category_scores_gemma":[0.0002489867,0.00013005166,0.000228952,0.00045222792,0.00019114222,0.00068295543,0.0002692126,0.00030570777,0.000359233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011529096,0.0000710897,0.00051810284,0.00042828495,0.00001552578,0.00029691326,0.00003150602,0.0010432516,0.96156394,0.0012399084,0.0004390672,0.03423712],"study_design_scores_gemma":[0.0000050676726,0.00017138754,0.0008417262,0.000017240582,0.000013579604,0.00029159733,0.00002758097,0.0066631828,0.9814386,0.00019776351,0.010319967,0.0000122550055],"about_ca_topic_score_codex":0.00066868257,"about_ca_topic_score_gemma":0.0018390914,"teacher_disagreement_score":0.0011760455,"about_ca_system_score_codex":0.0002663552,"about_ca_system_score_gemma":0.00020350961,"threshold_uncertainty_score":0.003934324},"labels":[],"label_agreement":null},{"id":"W3096591327","doi":"10.3390/en13215782","title":"Power Loss-Aware Transactive Microgrid Coalitions under Uncertainty","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transactive memory; Microgrid; Enabling; Computer science; Game theory; Electricity; Environmental economics; Electric power system; Risk analysis (engineering); Distributed computing; Operations research; Power (physics); Reliability engineering; Business; Microeconomics; Economics; Engineering; Artificial intelligence; Knowledge management; Electrical engineering; Control (management)","score_opus":0.009985587206303426,"score_gpt":0.19365295916609052,"score_spread":0.18366737195978708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096591327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07515326,0.00024409199,0.919787,0.00027587856,0.000032848217,0.00008372334,0.000057148667,0.0002521436,0.0041139494],"genre_scores_gemma":[0.9654707,0.0000979478,0.03210319,0.00006333594,0.000015481475,0.00004991033,0.000048719714,0.000031635478,0.0021189214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991991,0.0002656487,0.000035630997,0.00015050046,0.00020122984,0.00014802226],"domain_scores_gemma":[0.99820125,0.00093176786,0.0002465767,0.00012509302,0.00029076316,0.00020459539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018281214,0.0007961528,0.0014212346,0.00039223972,0.00070623157,0.001252081,0.0021288423,0.0008780847,0.0016341202],"category_scores_gemma":[0.003665592,0.00039520353,0.0005152917,0.00055735843,0.00082080887,0.0019683018,0.0023339374,0.0010530972,0.00025179127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016135644,0.00005899486,0.00091421755,0.000040773997,0.00004628895,0.00012315947,0.00011302373,0.9630497,0.0012117856,0.008603249,0.00060630636,0.025071114],"study_design_scores_gemma":[0.000007651345,0.000021691829,0.000074944975,0.000002205469,0.00000562797,0.000023139795,0.000024323903,0.9960892,0.00022380926,0.0033356787,0.00018879242,0.00000289465],"about_ca_topic_score_codex":0.004426518,"about_ca_topic_score_gemma":0.0038475173,"teacher_disagreement_score":0.004426518,"about_ca_system_score_codex":0.0009963134,"about_ca_system_score_gemma":0.0012066133,"threshold_uncertainty_score":0.009668112},"labels":[],"label_agreement":null},{"id":"W3096771868","doi":"10.3390/en13215701","title":"Improving Municipal Solid Waste Management Strategies of Montréal (Canada) Using Life Cycle Assessment and Optimization of Technology Options","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Incineration; Waste management; Life-cycle assessment; Environmental science; Municipal solid waste; Food waste; Compost; Energy recovery; Material flow analysis; Sorting; Waste treatment; Waste collection; Engineering; Biodegradable waste; Anaerobic digestion; Mechanical biological treatment; Environmental engineering; Production (economics); Computer science; Mathematics; Energy (signal processing)","score_opus":0.012180068482682098,"score_gpt":0.2386996780390041,"score_spread":0.226519609556322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096771868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93700063,0.0017463744,0.031869795,0.00092911173,0.000024885336,0.00060148584,0.0026439533,0.00037404316,0.024809698],"genre_scores_gemma":[0.96828103,0.0007757732,0.024048973,0.00007824009,0.0000021151275,0.000084823194,0.0010401346,0.00004037011,0.005648563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996735,0.000054448,0.000009956122,0.00003993954,0.00010890685,0.000113209135],"domain_scores_gemma":[0.9998066,0.000023993338,0.000020495989,0.0000053911313,0.000116920084,0.000026664693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006082237,0.000949773,0.00027634122,0.001368903,0.001007071,0.0018514735,0.0007457219,0.00047692782,0.0016825732],"category_scores_gemma":[0.00067621266,0.000266455,0.00055826915,0.0017132611,0.00036113136,0.00049241324,0.0003986974,0.0002795343,0.00015171545],"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":[0.0002407515,0.0002177088,0.029945415,0.00035043305,0.00013685985,0.0003913683,0.00022136721,0.8365917,0.033527058,0.00457447,0.003249431,0.09055336],"study_design_scores_gemma":[0.00012414607,0.0005472073,0.06664298,0.00013865856,0.00031843176,0.00007815233,0.001556598,0.8498507,0.053722326,0.0021714063,0.024671663,0.00017773897],"about_ca_topic_score_codex":0.93029803,"about_ca_topic_score_gemma":0.97286737,"teacher_disagreement_score":0.06970197,"about_ca_system_score_codex":0.02874373,"about_ca_system_score_gemma":0.02163656,"threshold_uncertainty_score":0.20855135},"labels":[],"label_agreement":null},{"id":"W3097019287","doi":"10.3390/en13215625","title":"Passive Fault-Tolerant Control Strategies for Power Converter in a Hybrid Microgrid","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Photovoltaic system; Converters; Fault (geology); Distributed generation; Pulse-width modulation; Fault tolerance; Engineering; Benchmark (surveying); Wind power; Control theory (sociology); Computer science; Electronic engineering; Renewable energy; Voltage; Electrical engineering; Control (management); Reliability engineering","score_opus":0.004838799630474627,"score_gpt":0.17812949121254254,"score_spread":0.17329069158206792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097019287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23395528,0.00036699258,0.7549813,0.00016085847,0.00010717446,0.000108617794,0.00006324856,0.00077101693,0.009485457],"genre_scores_gemma":[0.99435496,0.000034407265,0.0050215675,0.000012583764,0.0000052792934,0.000019621692,0.00001021303,0.000004149436,0.00053719664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999892,0.000020147454,0.000008871658,0.000028935821,0.00003395167,0.000016132619],"domain_scores_gemma":[0.99986327,0.000032096024,0.000037619044,0.000020067162,0.000039493396,0.000007425651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022521784,0.0005350658,0.00028979898,0.00023430644,0.00024955138,0.0005748643,0.00055180344,0.0002533242,0.001010906],"category_scores_gemma":[0.00034122478,0.0000991967,0.000193071,0.00016586726,0.00027830945,0.0003649117,0.00031705204,0.00030642736,0.00011464703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042365948,0.00018571822,0.0009625324,0.0002922605,0.00006794726,0.0003175486,0.00023041436,0.7985526,0.055045627,0.010712786,0.0012251151,0.13198379],"study_design_scores_gemma":[0.000026314723,0.00022405197,0.00038451428,0.000009635559,0.0000152372595,0.000059335875,0.00002684725,0.99004364,0.0065860418,0.0018551927,0.0007638354,0.0000053448757],"about_ca_topic_score_codex":0.0014295098,"about_ca_topic_score_gemma":0.0012606183,"teacher_disagreement_score":0.0014295098,"about_ca_system_score_codex":0.00022459938,"about_ca_system_score_gemma":0.00021737193,"threshold_uncertainty_score":0.0033817887},"labels":[],"label_agreement":null},{"id":"W3097220259","doi":"10.3390/en13215685","title":"An Improved Set of Design Criteria for Slotted Liners in Steam Assisted Gravity Drainage Operation","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; RGL Reservoir Management","keywords":"Steam-assisted gravity drainage; Wellbore; Petroleum engineering; Engineering; Productivity; Drainage; Production (economics); Set (abstract data type); Environmental science; Computer science; Oil sands","score_opus":0.031052784770638713,"score_gpt":0.27956261762171286,"score_spread":0.24850983285107414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097220259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09465426,0.00041920014,0.89540577,0.00007944937,0.00004557949,0.0003514401,0.00021377423,0.0013778504,0.0074526607],"genre_scores_gemma":[0.83169097,0.00018085314,0.16550033,0.000028613813,0.000014758684,0.0002781049,0.00020476524,0.00014436812,0.0019572368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827826,0.0004038483,0.00018451404,0.00019547758,0.00081758504,0.00012040016],"domain_scores_gemma":[0.9983387,0.00053423527,0.00038758953,0.00011620236,0.0005805488,0.00004267079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012930059,0.0013555618,0.0007331878,0.0013567843,0.00035532596,0.0012432111,0.0011734718,0.00075312884,0.0031703657],"category_scores_gemma":[0.003550695,0.0004124691,0.00069052074,0.00042540193,0.00044303577,0.00079024053,0.0005978816,0.00041306182,0.00065119995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076171366,0.00016462305,0.005033103,0.0011640544,0.000057522553,0.0005815625,0.0003216119,0.6072031,0.2123656,0.007958221,0.0019569085,0.16243199],"study_design_scores_gemma":[0.000102213395,0.0018748043,0.004734587,0.00010733059,0.00011656016,0.00051863014,0.00018922487,0.8730412,0.104969375,0.003161095,0.011063598,0.000121302706],"about_ca_topic_score_codex":0.0012107516,"about_ca_topic_score_gemma":0.0015854714,"teacher_disagreement_score":0.0031703657,"about_ca_system_score_codex":0.0004990049,"about_ca_system_score_gemma":0.00067182374,"threshold_uncertainty_score":0.010605931},"labels":[],"label_agreement":null},{"id":"W3106103009","doi":"10.3390/en13225960","title":"Evaluating the Potential of Rhodosporidium toruloides-1588 for High Lipid Production Using Undetoxified Wood Hydrolysate as a Carbon Source","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement; York University","funders":"","keywords":"Hydrolysate; Chemistry; Biomass (ecology); Hardwood; Biofuel; Food science; Lignocellulosic biomass; Sugar; Raw material; Bioenergy; Pulp and paper industry; Botany; Biology; Biochemistry; Organic chemistry; Agronomy; Biotechnology; Hydrolysis; Fermentation","score_opus":0.024934885261365197,"score_gpt":0.273015911146357,"score_spread":0.24808102588499178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106103009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756265,0.00054165715,0.0007840819,0.00003951723,0.000008624835,0.00002760184,0.00023510166,0.000020655718,0.00078015146],"genre_scores_gemma":[0.9927873,0.00070550066,0.0041852845,0.00002252243,0.000004147021,0.00003486832,0.000898078,0.000018182116,0.0013440873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999859,0.000022976164,0.000015921014,0.000030832216,0.000046230554,0.00002495312],"domain_scores_gemma":[0.99993217,0.000010445148,0.000019755113,0.000008688533,0.000017170694,0.000011733699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015714455,0.0006185315,0.00032700924,0.0002489205,0.00013304537,0.00042084555,0.00030095616,0.00029829697,0.00045159814],"category_scores_gemma":[0.00018401902,0.00011312106,0.00029499765,0.00024020366,0.00010552955,0.00035301427,0.00036215392,0.0003363438,0.00031961713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005535012,0.000035398203,0.00026698128,0.000048201462,0.0000039030583,0.00006305636,0.0000065690256,0.00008957322,0.9977581,0.000010834665,0.000006289429,0.0016557581],"study_design_scores_gemma":[0.00000986802,0.0007481983,0.0038376309,0.000011394128,0.00002780677,0.00020073737,0.000089707435,0.0005096612,0.99352235,0.000018613613,0.0010169273,0.0000070869505],"about_ca_topic_score_codex":0.0006646915,"about_ca_topic_score_gemma":0.0010163806,"teacher_disagreement_score":0.0006646915,"about_ca_system_score_codex":0.00013959108,"about_ca_system_score_gemma":0.00019559058,"threshold_uncertainty_score":0.0015107393},"labels":[],"label_agreement":null},{"id":"W3106711840","doi":"10.3390/en13236203","title":"A Methodology for Long-Term Model Predictive Control of Hybrid Geothermal Systems: The Shadow-Cost Formulation","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"H2020 Energy; Horizon 2020 Framework Programme","keywords":"Model predictive control; Term (time); Shadow (psychology); Geothermal gradient; Time horizon; Discretization; Horizon; Shadow price; Heating system; Function (biology); Computer science; Control theory (sociology); Mathematical optimization; Control (management); Engineering; Mathematics; Geology; Mechanical engineering; Artificial intelligence","score_opus":0.03571757138117289,"score_gpt":0.25708829850552206,"score_spread":0.2213707271243492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106711840","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":[0.002400546,0.00034971398,0.9940367,0.00010087096,0.00004180022,0.000032014053,0.000037279995,0.00006744505,0.0029336135],"genre_scores_gemma":[0.7482563,0.0012055071,0.23828113,0.00022332305,0.0001955553,0.0007951351,0.00031370608,0.00021442324,0.010514931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973744,0.00008918114,0.000010101119,0.00003914273,0.00009449448,0.000029629868],"domain_scores_gemma":[0.9996414,0.00019844476,0.000044870656,0.000020167661,0.00008084054,0.000014289208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009563262,0.001074641,0.00079840916,0.00038744582,0.0003912853,0.0010065185,0.0010378669,0.0009173611,0.0030940291],"category_scores_gemma":[0.001107165,0.0004483421,0.00085944624,0.00049234234,0.0006425691,0.000664873,0.0008055603,0.001263181,0.00032291794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006500022,0.000009869547,0.00005593362,0.00005295062,0.000014295202,0.000020463734,0.000013183444,0.98437506,0.00046288813,0.00847583,0.00028930398,0.006223773],"study_design_scores_gemma":[0.0000018299745,0.000009086308,0.00002345204,0.000004878592,0.0000028624347,0.0000028373329,0.0000021473636,0.9980982,0.000091110334,0.0013618367,0.000399985,0.0000018181213],"about_ca_topic_score_codex":0.0074498253,"about_ca_topic_score_gemma":0.005511064,"teacher_disagreement_score":0.0074498253,"about_ca_system_score_codex":0.00082324335,"about_ca_system_score_gemma":0.0013477183,"threshold_uncertainty_score":0.014812946},"labels":[],"label_agreement":null},{"id":"W3106866663","doi":"10.3390/en14020292","title":"Numerical Simulation of Pulsed Gravel Packing Completion in Horizontal Wells","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Geotechnical engineering; Geology; Mechanics; Physics","score_opus":0.009648577041363912,"score_gpt":0.22676155502517945,"score_spread":0.21711297798381554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106866663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85557044,0.00052887,0.11806103,0.00040267414,0.000120444005,0.000084431485,0.0004884842,0.000504853,0.024238758],"genre_scores_gemma":[0.9869344,0.00012493806,0.01002886,0.000026132928,0.000006255666,0.00005786746,0.00014905233,0.000020217356,0.0026522512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998654,0.000017421977,0.000006922915,0.0000224464,0.00004130632,0.000046446814],"domain_scores_gemma":[0.9996989,0.00013981792,0.000043289492,0.000018093962,0.000063586245,0.000036363163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021709998,0.00039830286,0.00054657727,0.0003657896,0.000563623,0.0005748572,0.0006271788,0.0011228252,0.0019455771],"category_scores_gemma":[0.00064154813,0.00025876172,0.00050314394,0.00054501055,0.0006063819,0.00045355607,0.0005363045,0.00048443975,0.00015237002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053979587,0.000033944485,0.0018101213,0.000046398334,0.000009394714,0.00022183993,0.000060150105,0.98837864,0.004330213,0.0023048604,0.0002449449,0.0025054528],"study_design_scores_gemma":[0.0000071389013,0.000013415946,0.00021156437,0.0000024566177,0.0000020808857,0.0000089225205,0.00001837175,0.99885166,0.0005423526,0.00019354509,0.00014462468,0.0000038689695],"about_ca_topic_score_codex":0.011318022,"about_ca_topic_score_gemma":0.0041178474,"teacher_disagreement_score":0.011318022,"about_ca_system_score_codex":0.0005405943,"about_ca_system_score_gemma":0.0008223213,"threshold_uncertainty_score":0.02250427},"labels":[],"label_agreement":null},{"id":"W3106929965","doi":"10.3390/en13236337","title":"Control Techniques for a Single-Phase Matrix Converter","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":6,"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":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Mountain Equipment Co-operative","keywords":"Cascade; Control theory (sociology); Topology (electrical circuits); Pulse-width modulation; Matrix (chemical analysis); Computer science; Three-phase; Phase (matter); Power (physics); Electronic engineering; Control (management); Engineering; Physics; Voltage; Materials science; Electrical engineering","score_opus":0.020640904048221307,"score_gpt":0.24600586936801838,"score_spread":0.22536496531979708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106929965","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008336216,0.0012116303,0.9740883,0.00017961318,0.00016646869,0.000084998675,0.000030923395,0.00041144266,0.015490493],"genre_scores_gemma":[0.69757223,0.0031036101,0.28104302,0.00016572907,0.0002349004,0.00023614972,0.000086610984,0.00005270951,0.017505022],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998653,0.000015092768,0.0000066569396,0.000021782973,0.00008538217,0.0000058301007],"domain_scores_gemma":[0.99992967,0.00002488155,0.000011151122,0.000008083312,0.000023887083,0.0000023519449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015719341,0.0002674805,0.00020703649,0.0003124466,0.00029844802,0.0006292621,0.00048295627,0.0002911432,0.0043069515],"category_scores_gemma":[0.0003228093,0.00008829964,0.00016646665,0.00032487724,0.00020847996,0.00045174343,0.00017128354,0.0005043893,0.0006510674],"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":[0.00010476729,0.000121752375,0.00023873152,0.0009569591,0.00003272199,0.00029572894,0.00032221916,0.076390214,0.18928674,0.14105073,0.0037954862,0.58740395],"study_design_scores_gemma":[0.00008060515,0.00046884097,0.00056243106,0.00012995179,0.000038813592,0.0008051952,0.00007819011,0.84824246,0.04769107,0.041445095,0.060423117,0.000034210694],"about_ca_topic_score_codex":0.0005844098,"about_ca_topic_score_gemma":0.0006408423,"teacher_disagreement_score":0.0043069515,"about_ca_system_score_codex":0.00019363606,"about_ca_system_score_gemma":0.0002555806,"threshold_uncertainty_score":0.014408171},"labels":[],"label_agreement":null},{"id":"W3107439694","doi":"10.3390/en13236289","title":"Woody Biomass Mobilization for Bioenergy in a Constrained Landscape: A Case Study from Cold Lake First Nations in Alberta, Canada","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Bioenergy; Biomass (ecology); Greenhouse gas; Environmental science; Natural resource; Tonne; Renewable energy; Agroforestry; Natural gas; Biofuel; Environmental protection; Natural resource economics; Ecology; Waste management; Engineering; Economics","score_opus":0.009850589750943994,"score_gpt":0.19972511136373394,"score_spread":0.18987452161278995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107439694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842861,0.00042184797,0.0006126097,0.00091640995,0.000013649064,0.00011525831,0.00022294388,0.00001233189,0.013398881],"genre_scores_gemma":[0.9903672,0.0005891283,0.0015182456,0.00028530284,0.000006595464,0.000030564956,0.00017373361,0.000010365816,0.007018981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927217,0.00011963164,0.00001068204,0.0000497685,0.0001590103,0.00038869964],"domain_scores_gemma":[0.9993774,0.00011772711,0.00003972406,0.000022103168,0.00017566433,0.00026752398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532688,0.00042028888,0.00025130177,0.0009961274,0.01190232,0.002363396,0.0014923697,0.0008718947,0.0022966857],"category_scores_gemma":[0.00072886824,0.00024235874,0.00024166121,0.0024158729,0.0020913193,0.0005061207,0.0013831682,0.00079373864,0.00013781198],"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":[0.00073223904,0.0017783036,0.45579183,0.0008624133,0.00018292591,0.10828575,0.21321791,0.015948752,0.015579179,0.022500835,0.024573868,0.14054602],"study_design_scores_gemma":[0.000046011675,0.0002592888,0.21775213,0.00030007804,0.00007168074,0.003476005,0.7023375,0.006697064,0.001652312,0.0014251735,0.065878786,0.00010390688],"about_ca_topic_score_codex":0.9814353,"about_ca_topic_score_gemma":0.9973303,"teacher_disagreement_score":0.03316767,"about_ca_system_score_codex":0.03316767,"about_ca_system_score_gemma":0.035523053,"threshold_uncertainty_score":0.24064946},"labels":[],"label_agreement":null},{"id":"W3107931354","doi":"10.3390/en13236431","title":"Numerical Analysis of the Deformation Performance of Monopile under Wave and Current Load","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Science Foundation of Zhejiang Province; China University of Geosciences; Systematic Project of Guangxi Key Laboratory of Disaster Prevention and Structural Safety; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety; China Scholarship Council; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Embedment; Pile; Geotechnical engineering; Offshore wind power; Finite element method; Foundation (evidence); Geology; Slip (aerodynamics); Deflection (physics); Structural engineering; Engineering; Wind power; Physics","score_opus":0.009602682831024494,"score_gpt":0.1871925972005959,"score_spread":0.1775899143695714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107931354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95107794,0.00019499518,0.036042787,0.00025243952,0.00004170859,0.000031846543,0.00014702033,0.00022196338,0.011989356],"genre_scores_gemma":[0.9951733,0.000059784772,0.0033695342,0.000011154825,0.0000037540033,0.000011945852,0.00004235742,0.000010712666,0.0013174764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998828,0.000020422995,0.000006268713,0.000013227553,0.000044453212,0.000032695076],"domain_scores_gemma":[0.99965143,0.00015529453,0.000050508188,0.00003856727,0.0000668072,0.00003731244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002785114,0.00034979192,0.00040001594,0.00052354205,0.0004940489,0.0004392084,0.00045943903,0.0010075172,0.00202922],"category_scores_gemma":[0.0007505103,0.00022533275,0.00046437676,0.0004253484,0.0006432235,0.00043500998,0.00036550115,0.00030396375,0.00021332013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015625013,0.00006660584,0.0039622346,0.00008556561,0.000019598223,0.0003495559,0.00015214551,0.9680223,0.017256785,0.0018501341,0.00041443625,0.007664397],"study_design_scores_gemma":[0.000005137597,0.000032663265,0.0007847745,0.0000035786122,0.0000030767062,0.00002445204,0.000035496883,0.997818,0.0010596734,0.00011655052,0.000109989545,0.000006690479],"about_ca_topic_score_codex":0.0054737427,"about_ca_topic_score_gemma":0.0032383204,"teacher_disagreement_score":0.0054737427,"about_ca_system_score_codex":0.00033939886,"about_ca_system_score_gemma":0.00036908558,"threshold_uncertainty_score":0.0108837485},"labels":[],"label_agreement":null},{"id":"W3108980633","doi":"10.3390/en13236352","title":"Operation Adaptation of Moving Bed Biomass Combustors under Various Waste Fuel Conditions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Refuse-derived fuel; Pellets; Waste management; Boiler (water heating); Environmental science; Fossil fuel; Biomass (ecology); Incineration; Environmental engineering; Engineering; Ecology","score_opus":0.015535896744675433,"score_gpt":0.20593285791919191,"score_spread":0.1903969611745165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108980633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663585,0.00004018248,0.002240451,0.000011351924,0.0000052303203,0.000014150392,0.000051048817,0.00004315455,0.00095868],"genre_scores_gemma":[0.9992292,0.000024162093,0.00044064678,0.0000016929656,5.661052e-7,0.000005227717,0.00003645606,0.000004346202,0.00025782583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989855,0.000021089818,0.000004987096,0.000018709057,0.000026108695,0.000030531493],"domain_scores_gemma":[0.9998982,0.000048358273,0.000011555732,0.000011740307,0.00002063729,0.0000095214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026398906,0.00042599972,0.00039003236,0.00036267683,0.00031556204,0.00056064635,0.00044348132,0.0003636289,0.0008905806],"category_scores_gemma":[0.0003559113,0.00017909985,0.00057135976,0.00019217105,0.00032859523,0.00044487178,0.00022900857,0.00027728817,0.00013857361],"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":[0.00086793,0.0002659646,0.02205911,0.00017382836,0.00008200115,0.00062845636,0.00012984077,0.8797189,0.077578515,0.00090826274,0.00018718051,0.017399965],"study_design_scores_gemma":[0.0000248557,0.0006815117,0.016775671,0.000008077017,0.00005306793,0.00008885351,0.00020135682,0.93054044,0.05098228,0.00025004355,0.00036522848,0.000028609364],"about_ca_topic_score_codex":0.0056745606,"about_ca_topic_score_gemma":0.0044159144,"teacher_disagreement_score":0.0056745606,"about_ca_system_score_codex":0.0005486693,"about_ca_system_score_gemma":0.0003016551,"threshold_uncertainty_score":0.0112831},"labels":[],"label_agreement":null},{"id":"W3109621357","doi":"10.3390/en13236365","title":"Hybrid Renewable Hydrogen Energy Solution for Application in Remote Mines","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Renewable energy; Haulage; Wind power; Environmental economics; Grid energy storage; Fossil fuel; Energy storage; Software deployment; Environmental science; Automotive engineering; Computer science; Distributed generation; Engineering; Waste management; Power (physics); Electrical engineering","score_opus":0.016441509134844844,"score_gpt":0.2275272249533822,"score_spread":0.21108571581853736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109621357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78622824,0.003712207,0.166997,0.0007946709,0.0004031421,0.00018697658,0.0006906812,0.0015228114,0.039464295],"genre_scores_gemma":[0.9768709,0.0004247442,0.01347015,0.00005805535,0.000020455358,0.000030430705,0.00016178907,0.000024690915,0.008938829],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994457,0.0000053885333,0.0000031257962,0.000010362608,0.00002745505,0.00000914347],"domain_scores_gemma":[0.9999689,0.0000045919355,0.000004121436,0.000005413327,0.000012053042,0.000004949493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008159251,0.0001712174,0.00029707263,0.00017302664,0.00020594595,0.000334518,0.0004928208,0.0003387005,0.0045304466],"category_scores_gemma":[0.0000712065,0.000065554595,0.00021713268,0.00023931466,0.00008740209,0.00047026397,0.00037026746,0.00020646873,0.00090708886],"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":[0.000916999,0.0005252303,0.004085159,0.0009346381,0.00010870188,0.0021609922,0.00017361005,0.03281475,0.573168,0.0064950907,0.011077103,0.3675398],"study_design_scores_gemma":[0.00021795985,0.0019792991,0.0066966014,0.000100997175,0.00009920876,0.002146424,0.0005512859,0.18239261,0.71451545,0.0061908225,0.08504111,0.000068214904],"about_ca_topic_score_codex":0.00017814132,"about_ca_topic_score_gemma":0.0006488387,"teacher_disagreement_score":0.0045304466,"about_ca_system_score_codex":0.00011661069,"about_ca_system_score_gemma":0.00012246,"threshold_uncertainty_score":0.015155911},"labels":[],"label_agreement":null},{"id":"W3109929572","doi":"10.3390/en13236187","title":"A Novel Equivalent Continuum Approach for Modelling Hydraulic Fractures","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Microseismic Industry Consortium","keywords":"Hydraulic fracturing; Anisotropy; Permeability (electromagnetism); Void (composites); Computer science; Representation (politics); Effective stress; Mechanics; Geology; Mathematical optimization; Geotechnical engineering; Mathematics; Materials science; Physics","score_opus":0.028423761460864564,"score_gpt":0.23068426357344313,"score_spread":0.20226050211257857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109929572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005358528,0.0001428795,0.98828363,0.00008346089,0.000036742178,0.000024487428,0.00007844014,0.00013726596,0.005854495],"genre_scores_gemma":[0.49856386,0.00093712297,0.48171854,0.00022138523,0.00011831762,0.00038647882,0.000326276,0.00017337248,0.017554596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999801,0.000047239137,0.000010477937,0.000033500888,0.000092008864,0.000015744192],"domain_scores_gemma":[0.99984956,0.00006376708,0.000019553105,0.000018339506,0.00003600237,0.000012781263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002453227,0.00049895496,0.00048543638,0.0006647754,0.00039524856,0.0008534441,0.0012739549,0.0013707294,0.002740847],"category_scores_gemma":[0.00050766487,0.00027028093,0.00079732353,0.00059772376,0.000637156,0.00095050404,0.0008471326,0.00084605446,0.00052343233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001903286,0.000051039555,0.00031493223,0.000056979152,0.000018658342,0.0001842373,0.000050051025,0.9101147,0.0067805015,0.059899643,0.0006890038,0.02182121],"study_design_scores_gemma":[0.0000027260828,0.000008188242,0.00003531558,0.0000030313,0.0000021706655,0.00002802052,0.0000057118455,0.9921604,0.00029088103,0.0058652735,0.0015943748,0.000003918464],"about_ca_topic_score_codex":0.0026940806,"about_ca_topic_score_gemma":0.0020045263,"teacher_disagreement_score":0.002740847,"about_ca_system_score_codex":0.0003694989,"about_ca_system_score_gemma":0.00059828634,"threshold_uncertainty_score":0.009169102},"labels":[],"label_agreement":null},{"id":"W3110064260","doi":"10.3390/en13236295","title":"The Saturated Water Content of Liquid Propane in Equilibrium with the sII Hydrate","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrate; Propane; Dew point; Chemistry; Saturation (graph theory); Water content; Analytical Chemistry (journal); Thermodynamics; Dissociation (chemistry); Liquid water; Liquid phase; Chromatography; Physical chemistry; Organic chemistry","score_opus":0.018609319637493345,"score_gpt":0.213724152025412,"score_spread":0.19511483238791866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110064260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99077004,0.00031774133,0.005893483,0.000035776797,0.000010352956,0.000013492066,0.00038932188,0.000070426424,0.0024992623],"genre_scores_gemma":[0.9968966,0.00014141393,0.0016595161,0.0000098570845,0.0000013864724,0.000018202023,0.00028334445,0.000017919621,0.0009715826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989724,0.000008795709,0.0000044349745,0.00003108278,0.00004076375,0.000017644636],"domain_scores_gemma":[0.99991274,0.000032378,0.000014243501,0.0000057988364,0.000028430888,0.000006400218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010979645,0.0001717326,0.000116491006,0.00024305457,0.00022355147,0.0001687459,0.00025580588,0.00018311935,0.0016162705],"category_scores_gemma":[0.0003049466,0.00010239726,0.00012358994,0.0002523231,0.00026253602,0.00032196374,0.00017259082,0.00022823885,0.00028653728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059664373,0.000005819552,0.0012113968,0.00005184299,0.0000040627488,0.000049185503,0.00007225017,0.0003907793,0.99507385,0.0002073965,0.000065140695,0.0028086365],"study_design_scores_gemma":[0.0000013886928,0.000055697805,0.002302214,0.0000031577351,0.0000037821046,0.00004246728,0.00005680848,0.00176124,0.99491054,0.00006706435,0.0007912499,0.000004293762],"about_ca_topic_score_codex":0.0012195986,"about_ca_topic_score_gemma":0.0015096578,"teacher_disagreement_score":0.0016162705,"about_ca_system_score_codex":0.00021029373,"about_ca_system_score_gemma":0.00020756977,"threshold_uncertainty_score":0.0054069757},"labels":[],"label_agreement":null},{"id":"W3110086586","doi":"10.3390/en13236242","title":"Voltage Regulation Using Recurrent Wavelet Fuzzy Neural Network-Based Dynamic Voltage Restorer","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Voltage; Control theory (sociology); Computer science; Robustness (evolution); Voltage sag; Power quality; Voltage regulation; Voltage controller; Disturbance voltage; Compensation (psychology); Fuzzy logic; Artificial neural network; Controller (irrigation); Voltage compensation; Wavelet; Voltage optimisation; Voltage regulator; Engineering; Artificial intelligence; Electrical engineering; Control (management); Chemistry; Psychology","score_opus":0.03506834005856221,"score_gpt":0.24845887707939604,"score_spread":0.21339053702083383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110086586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10051436,0.00079679757,0.888046,0.00019194838,0.00016572252,0.00007367384,0.000063799176,0.0015694147,0.008578128],"genre_scores_gemma":[0.95997226,0.00024277881,0.037540562,0.00006630295,0.000023814559,0.00004427495,0.00006148944,0.000020899111,0.0020276988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997925,0.000027207032,0.00001781941,0.000057001227,0.00008227095,0.000023158784],"domain_scores_gemma":[0.99985325,0.000028777482,0.000030136518,0.000012773669,0.00006915569,0.0000058517044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041312998,0.00035356262,0.00045180434,0.00021468621,0.00019180804,0.0003800354,0.0007527339,0.00044659196,0.00071796414],"category_scores_gemma":[0.0006517867,0.0001535277,0.00033932427,0.00017879033,0.00019825263,0.00036960127,0.00023305007,0.00036525904,0.00018261996],"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":[0.00025779955,0.00014573547,0.0010351271,0.00019350869,0.00008526493,0.00023873746,0.00010201568,0.64058006,0.046391156,0.0036789344,0.002181645,0.30510995],"study_design_scores_gemma":[0.000010836405,0.000053686137,0.00017880078,0.000005522062,0.000012594437,0.000027794476,0.0000035817752,0.99592364,0.0031814359,0.00021939412,0.0003769136,0.0000058858327],"about_ca_topic_score_codex":0.004659022,"about_ca_topic_score_gemma":0.0044655893,"teacher_disagreement_score":0.004659022,"about_ca_system_score_codex":0.00038921816,"about_ca_system_score_gemma":0.0003384894,"threshold_uncertainty_score":0.0092638135},"labels":[],"label_agreement":null},{"id":"W3110953966","doi":"10.3390/en13246489","title":"Particle Filter-Based Electricity Load Prediction for Grid-Connected Microgrid Day-Ahead Scheduling","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Carleton University","funders":"Civil Aviation University of China; National Natural Science Foundation of China","keywords":"Microgrid; Scheduling (production processes); Electricity; Support vector machine; Computer science; Nonlinear system; Artificial neural network; Particle filter; Grid; Mathematical optimization; Real-time computing; Engineering; Filter (signal processing); Artificial intelligence; Mathematics","score_opus":0.01915145838075537,"score_gpt":0.20848151345148874,"score_spread":0.18933005507073336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110953966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03242472,0.0003040568,0.9644867,0.00013739265,0.00012467416,0.000028954388,0.000058044538,0.0006791627,0.0017562779],"genre_scores_gemma":[0.9239074,0.00024878973,0.07342108,0.00007936811,0.00008284394,0.000055352364,0.000158345,0.000040049596,0.0020067727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997689,0.000044080636,0.000015022847,0.00005378606,0.00008940988,0.000028798446],"domain_scores_gemma":[0.99962544,0.00015642786,0.00005030623,0.000027390071,0.00012145135,0.000018991828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048961415,0.00052428566,0.0007791808,0.00028350687,0.00035504103,0.0005030279,0.00061642757,0.00046152205,0.0008322642],"category_scores_gemma":[0.0012399005,0.00029563447,0.000334541,0.00036322617,0.00019833392,0.00067155523,0.00026630415,0.00067612506,0.00021749009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013107367,0.0000680939,0.0018965538,0.000054418575,0.00005370769,0.000053311793,0.00004939251,0.89057845,0.0026079807,0.0014954545,0.0017110708,0.10130048],"study_design_scores_gemma":[0.0000035939931,0.000009087016,0.00018576455,0.0000013062854,0.0000024565393,0.0000034060813,0.0000019039375,0.9992094,0.00027737606,0.0001608919,0.00014238553,0.0000023458485],"about_ca_topic_score_codex":0.014684331,"about_ca_topic_score_gemma":0.012285084,"teacher_disagreement_score":0.014684331,"about_ca_system_score_codex":0.00049976463,"about_ca_system_score_gemma":0.0008530774,"threshold_uncertainty_score":0.029197693},"labels":[],"label_agreement":null},{"id":"W3111083157","doi":"10.3390/en13246650","title":"The Ecological Footprint and Kuznets Environmental Curve in the USMCA Countries: A Method of Moments Quantile Regression Analysis","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":30,"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":"Kuznets curve; Quantile regression; Environmental degradation; Quantile; Economics; Econometrics; Ecological footprint; Ordinary least squares; Openness to experience; Panel data; Cointegration; Sustainable development; Ecology; Biology","score_opus":0.026442197806884015,"score_gpt":0.23830951269832415,"score_spread":0.21186731489144014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111083157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7769477,0.0021999367,0.20388943,0.00081044616,0.00006117752,0.00012457013,0.0041258144,0.0006231721,0.011217703],"genre_scores_gemma":[0.9831588,0.00055844133,0.012972039,0.000037396258,0.000029263776,0.00008499292,0.0017185644,0.00006964687,0.0013707661],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988807,0.00055097725,0.000051176146,0.00019233793,0.00017575375,0.00014909514],"domain_scores_gemma":[0.9957735,0.002550005,0.00079998595,0.00036776793,0.0004185439,0.000090241425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024691643,0.00030787746,0.00055615965,0.0025887622,0.0002885451,0.0012617698,0.0004346359,0.00042161488,0.0028751474],"category_scores_gemma":[0.011129048,0.0001795355,0.0010112643,0.0037001218,0.00054034265,0.0007189463,0.0008994173,0.0009906834,0.00028747777],"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":[0.00022681503,0.00013124708,0.45662856,0.00018728695,0.0007300933,0.00057145423,0.0009688694,0.28237095,0.00090879516,0.09625581,0.0074670087,0.1535531],"study_design_scores_gemma":[0.000018415863,0.00007613498,0.35874492,0.00010243108,0.00015362815,0.00020945798,0.0012288209,0.57631236,0.0011232835,0.046754476,0.015185696,0.000090324706],"about_ca_topic_score_codex":0.024403106,"about_ca_topic_score_gemma":0.008775131,"teacher_disagreement_score":0.024403106,"about_ca_system_score_codex":0.001174411,"about_ca_system_score_gemma":0.0008221466,"threshold_uncertainty_score":0.048522115},"labels":[],"label_agreement":null},{"id":"W3111529004","doi":"10.3390/en13246600","title":"New Insights for the Future Design of Composites Composed of Hydrochar and Zeolite for Developing Advanced Biofuels from Cranberry Pomace","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Pomace; Biofuel; Zeolite; Biomass (ecology); Materials science; Composite material; Chemistry; Waste management; Food science; Engineering; Biology; Agronomy; Organic chemistry; Catalysis","score_opus":0.012955369647144672,"score_gpt":0.2021945478522342,"score_spread":0.18923917820508954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111529004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6779527,0.04982991,0.25281137,0.0031001833,0.000191655,0.0003362673,0.0006650189,0.0005751342,0.01453778],"genre_scores_gemma":[0.82412946,0.030331183,0.14005204,0.0005286611,0.00005085571,0.00012742191,0.00045862352,0.00006619975,0.0042555635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992,0.000009067836,0.0000049221435,0.00001674636,0.000023851,0.000025412222],"domain_scores_gemma":[0.9999255,0.0000174059,0.000015274101,0.0000064608284,0.000018867942,0.000016556243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034951756,0.00048234512,0.00041904065,0.0002175714,0.00015416699,0.000704691,0.0003385696,0.00050859747,0.0019516969],"category_scores_gemma":[0.0001679177,0.0002726998,0.00044608949,0.00015853217,0.00031098296,0.0010387052,0.0002476377,0.0007381025,0.0006137225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013228698,0.00012014601,0.0010374865,0.00069092424,0.000027467266,0.0002817037,0.00010190058,0.0042811157,0.9450213,0.0036850784,0.0003013309,0.044319283],"study_design_scores_gemma":[0.00014183586,0.001544622,0.006361011,0.00030996036,0.00018948213,0.0009629756,0.0009904274,0.036880758,0.851848,0.010024096,0.09063759,0.000109215776],"about_ca_topic_score_codex":0.00074813777,"about_ca_topic_score_gemma":0.0021246385,"teacher_disagreement_score":0.0019516969,"about_ca_system_score_codex":0.00040306113,"about_ca_system_score_gemma":0.0006539047,"threshold_uncertainty_score":0.006529093},"labels":[],"label_agreement":null},{"id":"W3111859430","doi":"10.3390/en13236448","title":"Experimental Platform for Evaluation of On-Board Real-Time Motion Controllers for Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Controller (irrigation); Torque; Hardware-in-the-loop simulation; Traction control system; Engineering; Electric vehicle; Control system; Control engineering; Automotive engineering; Motor controller; Computer science; Simulation","score_opus":0.018194797871659767,"score_gpt":0.2406220406928779,"score_spread":0.22242724282121815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111859430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69963044,0.00020689447,0.2829048,0.000115210685,0.0002738228,0.0011809809,0.0012152379,0.005051865,0.009420797],"genre_scores_gemma":[0.97070956,0.0000744625,0.024742428,0.000028177761,0.000012230287,0.00047529122,0.0007375361,0.000099539364,0.0031206263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959224,0.00007969944,0.000029892592,0.000069162896,0.00015911252,0.00006996709],"domain_scores_gemma":[0.9993284,0.0001581905,0.000069107526,0.00015173492,0.00023415123,0.000058472804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005827506,0.000727507,0.00030158777,0.00045520935,0.00026117338,0.0003600746,0.0009846846,0.0004591166,0.006093639],"category_scores_gemma":[0.0010125075,0.00013509746,0.0002669328,0.00019469523,0.00027687816,0.00040315147,0.00032931307,0.00041779582,0.00091182976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016869716,0.0030494945,0.009279777,0.0013628107,0.00015555219,0.0005334035,0.00050374836,0.13339473,0.73160565,0.0070959562,0.0045048823,0.10682698],"study_design_scores_gemma":[0.0004312802,0.008542378,0.010334214,0.00006651631,0.00012272235,0.00020813732,0.00026084544,0.36149666,0.5974392,0.0011241072,0.019909445,0.00006444954],"about_ca_topic_score_codex":0.0009380789,"about_ca_topic_score_gemma":0.00075820857,"teacher_disagreement_score":0.006093639,"about_ca_system_score_codex":0.0003058276,"about_ca_system_score_gemma":0.00048486615,"threshold_uncertainty_score":0.020385265},"labels":[],"label_agreement":null},{"id":"W3112180522","doi":"10.3390/en13246697","title":"Energy—Water Nexus: Integration, Monitoring, KPIs Tools and Research Vision","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nexus (standard); Water-energy nexus; Energy consumption; Energy (signal processing); Computer science; Environmental economics; Risk analysis (engineering); Engineering; Business; Embedded system; Mathematics","score_opus":0.060214808356496716,"score_gpt":0.298064723465902,"score_spread":0.23784991510940529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112180522","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056545172,0.40667406,0.2625669,0.034673322,0.0011946277,0.0010562952,0.0033214372,0.0013014865,0.23266673],"genre_scores_gemma":[0.59297097,0.26725316,0.12681329,0.001863839,0.0007489384,0.00085546053,0.0018898629,0.00019595276,0.0074085244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9937118,0.0020520014,0.000766396,0.0009915283,0.0021129295,0.00036530488],"domain_scores_gemma":[0.9896852,0.0058941557,0.0015986818,0.00052176684,0.0020400898,0.00026014392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008164759,0.0024282988,0.0017494697,0.019416833,0.0009934603,0.012766476,0.0020822594,0.0019981063,0.003510052],"category_scores_gemma":[0.011997556,0.00076833175,0.00097259635,0.023493191,0.0049479245,0.018861681,0.0044730897,0.0021639657,0.00094777934],"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":[0.00009386971,0.00014347276,0.0145311095,0.010833238,0.00021148392,0.0003709724,0.0024627852,0.0070291464,0.0014223729,0.52174926,0.008306841,0.4328454],"study_design_scores_gemma":[0.000020812768,0.00031495857,0.02255797,0.01903234,0.0003375603,0.0009418502,0.02279904,0.024220357,0.0047218725,0.50713384,0.39762887,0.00029053155],"about_ca_topic_score_codex":0.0063739573,"about_ca_topic_score_gemma":0.0042723645,"teacher_disagreement_score":0.019416833,"about_ca_system_score_codex":0.0066915927,"about_ca_system_score_gemma":0.008212586,"threshold_uncertainty_score":0.048551083},"labels":[],"label_agreement":null},{"id":"W3112362997","doi":"10.3390/en13246611","title":"Impact of Stationary and Dynamic Conditions on the U-Value Measurements of Heavy-Multi Leaf Walls by Quantitative IRT","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Building envelope; Envelope (radar); Thermography; Environmental science; Thermal transmittance; Thermal; Heat flux; Quality (philosophy); Quantitative assessment; Computer science; Reliability engineering; Statistics; Mathematics; Meteorology; Infrared; Heat transfer; Engineering; Mechanics; Thermal resistance; Optics; Geography; Physics; Telecommunications","score_opus":0.033670062479585094,"score_gpt":0.2895947936806481,"score_spread":0.255924731201063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112362997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9517523,0.0005349285,0.043992396,0.00002812832,0.000038707545,0.000021317137,0.00019355933,0.00017076926,0.003267836],"genre_scores_gemma":[0.9932991,0.000094369505,0.0059675258,0.000017468528,0.0000048980696,0.00001201018,0.00007124105,0.00003466734,0.0004985919],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991792,0.00021273394,0.000032524396,0.00016834884,0.00034517088,0.00006199448],"domain_scores_gemma":[0.9988586,0.00056517124,0.00017199147,0.00015218691,0.00022444884,0.000027736342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008933694,0.00041533654,0.00028765708,0.00052863854,0.0002815843,0.00068557006,0.00036751368,0.00053098303,0.0010955016],"category_scores_gemma":[0.0015221287,0.00020255793,0.00031319904,0.0005671378,0.00060091226,0.0005803669,0.00042996978,0.00036581594,0.00035513192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000421587,0.00007143195,0.026798615,0.00024286896,0.000034521618,0.00041069454,0.00089677423,0.0059010717,0.9270123,0.0005912772,0.00022953532,0.037389252],"study_design_scores_gemma":[0.000010206818,0.000649051,0.09918112,0.00006633806,0.00005879222,0.0007027934,0.0012240189,0.021239834,0.87374735,0.0004840641,0.0025623026,0.00007422323],"about_ca_topic_score_codex":0.0005637653,"about_ca_topic_score_gemma":0.0008623452,"teacher_disagreement_score":0.0010955016,"about_ca_system_score_codex":0.00015507801,"about_ca_system_score_gemma":0.00009894616,"threshold_uncertainty_score":0.004724622},"labels":[],"label_agreement":null},{"id":"W3113056592","doi":"10.3390/en13246689","title":"A-Site Cation Engineering for Efficient Blue-Emissive Perovskite Light-Emitting Diodes","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Korea Institute of Energy Technology Evaluation and Planning; National Research Foundation of Korea; Ministry of Trade, Industry and Energy; National Research Foundation","keywords":"Formamidinium; Perovskite (structure); Halide; Electroluminescence; Quantum yield; Photoluminescence; Materials science; Light-emitting diode; Band gap; Optoelectronics; Diode; Quantum efficiency; Photochemistry; Chemistry; Inorganic chemistry; Optics; Nanotechnology; Physics; Crystallography","score_opus":0.008495017764201362,"score_gpt":0.19528116574746238,"score_spread":0.186786147983261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113056592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876061,0.00084321364,0.009057216,0.0001459424,0.00003495033,0.000044326753,0.00015153005,0.00018211668,0.0019345387],"genre_scores_gemma":[0.9861551,0.0006966453,0.010996545,0.000054217908,0.000009338699,0.000025326019,0.00010401944,0.00003128566,0.0019275119],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999242,0.0000091171005,0.000010125201,0.000017450671,0.000024646733,0.00001438992],"domain_scores_gemma":[0.99992657,0.00001590115,0.000025563946,0.0000065119552,0.000016252456,0.000009335421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013492984,0.00028148232,0.00015373748,0.00010441825,0.0001362656,0.0003333792,0.00022445939,0.00021497832,0.0009166255],"category_scores_gemma":[0.00017332239,0.00013424619,0.00012366669,0.00010146299,0.00011540187,0.00028958241,0.000211079,0.00030194107,0.00027624267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024208412,0.000015130957,0.00007754135,0.0000377106,0.0000023861876,0.000021450121,0.0000057001425,0.00012776775,0.99805886,0.00013346129,0.000028618291,0.0014671974],"study_design_scores_gemma":[0.000011323928,0.000055359025,0.00012071072,0.0000014838315,0.000004916693,0.000047556863,0.0000063514576,0.000919426,0.9979006,0.00002599118,0.0009036265,0.0000027006001],"about_ca_topic_score_codex":0.00040533993,"about_ca_topic_score_gemma":0.00091184315,"teacher_disagreement_score":0.0009166255,"about_ca_system_score_codex":0.00017660767,"about_ca_system_score_gemma":0.00020247568,"threshold_uncertainty_score":0.0030664206},"labels":[],"label_agreement":null},{"id":"W3113206998","doi":"10.3390/en14248493","title":"Performance Analysis of Mars-Powered Descent-Based Landing in a Constrained Optimization Control Framework","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Descent (aeronautics); Mars Exploration Program; Computer science; Astrobiology; Aerospace engineering; Aeronautics; Engineering; Physics","score_opus":0.003540835220952522,"score_gpt":0.18577110477548256,"score_spread":0.18223026955453003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113206998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38660964,0.0018651246,0.5706909,0.0007688083,0.000120320234,0.00017330261,0.00025948728,0.0008188723,0.03869362],"genre_scores_gemma":[0.99492836,0.00013594583,0.0036619797,0.00003111515,0.0000070170468,0.000042422216,0.00007585779,0.00001976155,0.0010975812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995204,0.00013680336,0.000017820676,0.0000697558,0.00011705619,0.00013810278],"domain_scores_gemma":[0.99887735,0.0005819005,0.00017633222,0.000041849435,0.00024932987,0.00007320511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036491,0.0010040331,0.0009513697,0.00042132378,0.0005312643,0.0012858044,0.0005268111,0.000900481,0.0023534636],"category_scores_gemma":[0.0015499133,0.00022998512,0.00053380243,0.00035957925,0.00060284603,0.00045184637,0.0009147008,0.00078313274,0.00024175202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009029013,0.000023929431,0.00039172845,0.000069391375,0.000021056374,0.000060709626,0.000017178127,0.99423414,0.0010622916,0.0013165344,0.00019082364,0.0025219575],"study_design_scores_gemma":[0.0000049320793,0.00005217411,0.0002137197,0.0000036236147,0.0000050479616,0.0000056226986,0.000008107812,0.99929416,0.00019579391,0.00016255946,0.000051315383,0.0000028995278],"about_ca_topic_score_codex":0.019677212,"about_ca_topic_score_gemma":0.0046148724,"teacher_disagreement_score":0.019677212,"about_ca_system_score_codex":0.0006489182,"about_ca_system_score_gemma":0.0013012487,"threshold_uncertainty_score":0.039125383},"labels":[],"label_agreement":null},{"id":"W3113211651","doi":"10.3390/en13246485","title":"Grid Code-Dependent Frequency Control Optimization in Multi-Terminal DC Networks","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Agencia Estatal de Investigación; Ministerio de Economía y Competitividad","keywords":"Grid code; Automatic frequency control; Computer science; Grid; Voltage droop; Power control; Particle swarm optimization; AC power; Wind power; Control theory (sociology); Power (physics); Engineering; Electronic engineering; Voltage; Control (management); Electrical engineering; Voltage source; Telecommunications","score_opus":0.014022515181676706,"score_gpt":0.2124006526550792,"score_spread":0.1983781374734025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113211651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17112906,0.0006542609,0.8126945,0.000371851,0.000084140534,0.00009061169,0.000085496285,0.00019538276,0.014694718],"genre_scores_gemma":[0.9793528,0.00012977679,0.018701797,0.000022439965,0.000014281269,0.000034522476,0.000023028793,0.00001595908,0.0017054691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998627,0.00004526901,0.000004914605,0.000026038682,0.00003844163,0.000022560662],"domain_scores_gemma":[0.999676,0.0001648355,0.000066452114,0.000015321419,0.000056539728,0.000020837047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036298833,0.000492571,0.00041413427,0.0002605362,0.00025494103,0.0006979523,0.00032427692,0.0005062126,0.00093220157],"category_scores_gemma":[0.0008835206,0.00023468607,0.00020040803,0.00029323777,0.00036548302,0.0003277227,0.00031578896,0.00045348043,0.00008665982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020794801,0.000009875001,0.0001727143,0.000015928274,0.0000048515153,0.000027989456,0.000009305094,0.9924716,0.0007815122,0.0013846552,0.000154523,0.004946328],"study_design_scores_gemma":[0.000003182175,0.000010441993,0.000063614374,0.0000013866011,0.0000011536313,0.0000029969983,0.0000026002815,0.99932706,0.00016055659,0.0003279355,0.00009822091,9.2271404e-7],"about_ca_topic_score_codex":0.005657751,"about_ca_topic_score_gemma":0.003980379,"teacher_disagreement_score":0.005657751,"about_ca_system_score_codex":0.0006263977,"about_ca_system_score_gemma":0.000437893,"threshold_uncertainty_score":0.011249661},"labels":[],"label_agreement":null},{"id":"W3114716663","doi":"10.3390/en14010162","title":"Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":41,"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":"Torrefaction; Biomass (ecology); Waste management; Environmental science; Raw material; Bioenergy; Biofuel; Hydrothermal carbonization; Combustion; Biorefinery; Pulp and paper industry; Pyrolysis; Engineering; Process engineering; Carbonization; Chemistry; Agronomy","score_opus":0.019703958844777138,"score_gpt":0.2276963076499989,"score_spread":0.20799234880522177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114716663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7456145,0.14011633,0.011392451,0.0060126735,0.00022282808,0.0008181736,0.04004946,0.00025996208,0.055513587],"genre_scores_gemma":[0.92409295,0.04838115,0.008861892,0.00030656648,0.00019713619,0.00052588707,0.016232174,0.000054433152,0.0013477488],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903161,0.0029389882,0.001658513,0.0007779341,0.003673406,0.00063509215],"domain_scores_gemma":[0.96314925,0.027401714,0.003470382,0.000882675,0.0047231005,0.00037281963],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007336573,0.0007373147,0.0015810815,0.09650457,0.0009659777,0.0053768125,0.00080156664,0.0009717381,0.0037013257],"category_scores_gemma":[0.027978301,0.00026087573,0.0022350408,0.20127621,0.0008463597,0.0042324313,0.0017021552,0.0005160024,0.00051174033],"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":[0.0008675427,0.000524796,0.31030688,0.06868449,0.007321494,0.0055158595,0.014573513,0.011976645,0.0044499035,0.04018155,0.028132828,0.50746447],"study_design_scores_gemma":[0.00017515625,0.00042543066,0.6372087,0.022041036,0.008005045,0.004867023,0.05767308,0.031309847,0.0042581162,0.029485527,0.20419389,0.00035713922],"about_ca_topic_score_codex":0.007917023,"about_ca_topic_score_gemma":0.0061998754,"teacher_disagreement_score":0.90349543,"about_ca_system_score_codex":0.0032112615,"about_ca_system_score_gemma":0.0030863495,"threshold_uncertainty_score":0.03879994},"labels":[],"label_agreement":null},{"id":"W3115376704","doi":"10.3390/en14010087","title":"Core Temperature Estimation for a Lithium ion 18650 Cell","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermocouple; Kalman filter; Control theory (sociology); Thermal; Controller (irrigation); Core (optical fiber); Battery (electricity); MATLAB; Materials science; Mechanics; Computer science; Thermodynamics; Power (physics); Physics; Composite material","score_opus":0.031096515875292594,"score_gpt":0.27021726210093405,"score_spread":0.23912074622564145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115376704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7709713,0.0006217528,0.22268608,0.000079593075,0.00003257711,0.000048458158,0.00020901601,0.00092651055,0.004424736],"genre_scores_gemma":[0.99136764,0.00011028243,0.0074170483,0.000009078469,0.0000023085775,0.000012970692,0.00012100425,0.000013512285,0.000946126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999192,0.000009755321,0.000005171741,0.000019046262,0.000039968712,0.0000069722596],"domain_scores_gemma":[0.99991226,0.000024472229,0.000011052149,0.000008380652,0.0000395127,0.000004304628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015305207,0.0003022605,0.00035965999,0.0003217591,0.00018292424,0.0003517572,0.00028150942,0.00027513006,0.000587553],"category_scores_gemma":[0.00035175736,0.00011845768,0.00023695292,0.00025155826,0.000098197306,0.00030610152,0.00021262343,0.00015930318,0.00025152328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068786414,0.000107537264,0.020467531,0.0005110052,0.00008496179,0.00035655237,0.0003551845,0.42092612,0.34058917,0.0009750217,0.0010949017,0.21384418],"study_design_scores_gemma":[0.000009663795,0.00020717115,0.010302186,0.0000138143805,0.000034058496,0.000093483606,0.00005997975,0.92073625,0.067128,0.00027685126,0.0011139489,0.000024443934],"about_ca_topic_score_codex":0.004953144,"about_ca_topic_score_gemma":0.00548713,"teacher_disagreement_score":0.004953144,"about_ca_system_score_codex":0.00035234136,"about_ca_system_score_gemma":0.0003334844,"threshold_uncertainty_score":0.009848654},"labels":[],"label_agreement":null},{"id":"W3116729241","doi":"10.3390/en14010167","title":"Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cooling tower; Compaction; Inlet; Volumetric flow rate; Particle swarm optimization; Air temperature; Relative humidity; Environmental science; Materials science; Algorithm; Simulation; Engineering; Mechanics; Mechanical engineering; Meteorology; Mathematics; Composite material; Physics","score_opus":0.033921560668251916,"score_gpt":0.2318234990113148,"score_spread":0.19790193834306288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116729241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706444,0.000255021,0.025301784,0.000048671143,0.00004490035,0.0000560381,0.00017294598,0.00024720785,0.0032291263],"genre_scores_gemma":[0.98984003,0.00008213099,0.009415628,0.000006802047,0.0000027038723,0.000031206782,0.00006134981,0.000013755093,0.0005463358],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963963,0.00007030974,0.000032858647,0.00006877521,0.00013198965,0.000056314242],"domain_scores_gemma":[0.99937075,0.00023961309,0.0000608689,0.00010915748,0.00019986047,0.000019719351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078257394,0.00051172276,0.00052875857,0.000373807,0.00031384887,0.0002793329,0.0004794268,0.00044609376,0.0011316346],"category_scores_gemma":[0.0011170172,0.00015798605,0.00032761335,0.0005494768,0.0002955922,0.00042069028,0.00020681473,0.00033572214,0.00014933391],"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":[0.0014835072,0.0010564531,0.009083381,0.0013968061,0.00011482819,0.00034995997,0.00034441875,0.29173413,0.58811444,0.0013616477,0.0010817836,0.10387865],"study_design_scores_gemma":[0.00006284074,0.0016029831,0.013279424,0.000025850168,0.000054723445,0.00007832173,0.00009237211,0.5448371,0.43858352,0.00021458877,0.0011305861,0.00003769817],"about_ca_topic_score_codex":0.0012866282,"about_ca_topic_score_gemma":0.0017101371,"teacher_disagreement_score":0.0012866282,"about_ca_system_score_codex":0.0002618371,"about_ca_system_score_gemma":0.00020415758,"threshold_uncertainty_score":0.004138708},"labels":[],"label_agreement":null},{"id":"W3117281638","doi":"10.3390/en14010093","title":"Bioenergy Conversion Potential of Decaying Hardwoods","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","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":"Canadian Forest Service; Natural Resources Canada; Institut National de la Recherche Scientifique; Université Laval","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Institut national de la recherche scientifique","keywords":"Bioenergy; Biomass (ecology); Environmental science; Pulp and paper industry; Biofuel; Raw material; Combustion; Hardwood; Lignin; Chemistry; Botany; Agronomy; Biology; Biotechnology; Ecology","score_opus":0.010851105384782947,"score_gpt":0.18420239316486467,"score_spread":0.17335128778008171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117281638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836355,0.0004931052,0.0002207206,0.0000036629565,0.0000012590909,0.0000041379035,0.0001237736,0.000003249495,0.0007864769],"genre_scores_gemma":[0.9981894,0.00026103185,0.00033622334,0.000008625317,7.5407144e-7,0.0000029986725,0.00037131697,0.0000036806296,0.00082603813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980336,0.000012848683,0.000014890382,0.000030590545,0.00007053982,0.00006777353],"domain_scores_gemma":[0.99965394,0.000049861734,0.000051465224,0.0000159942,0.00013876197,0.00009002295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533761,0.00040458,0.00022124166,0.00081459054,0.00037773477,0.0009778049,0.00025013022,0.0001560606,0.0009866308],"category_scores_gemma":[0.00025103142,0.00010193314,0.00020254751,0.0007103833,0.0002634703,0.00032446958,0.00033891658,0.00028194266,0.00015394563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004414488,0.00008973325,0.100765266,0.0001766512,0.0000535742,0.00027797202,0.00028289686,0.0007347874,0.87897944,0.00022075673,0.000025392725,0.01795217],"study_design_scores_gemma":[0.0000048690545,0.0003204169,0.7923532,0.000044478355,0.00006211124,0.00027178458,0.001245838,0.0012299657,0.20278959,0.00023701042,0.0014218008,0.00001885102],"about_ca_topic_score_codex":0.028247828,"about_ca_topic_score_gemma":0.07497623,"teacher_disagreement_score":0.028247828,"about_ca_system_score_codex":0.0006757701,"about_ca_system_score_gemma":0.00047699446,"threshold_uncertainty_score":0.056166828},"labels":[],"label_agreement":null},{"id":"W3117643290","doi":"10.3390/en14010027","title":"Cyber-Security of Smart Microgrids: A Survey","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":147,"is_retracted":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":"Cyber-physical system; Computer security; Smart grid; Cyber-attack; Computer science; Electric power system; Engineering; Power (physics); Electrical engineering","score_opus":0.014076664105344115,"score_gpt":0.20213628156418803,"score_spread":0.18805961745884392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117643290","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":[0.006084148,0.94781667,0.019052375,0.0015912369,0.00089747435,0.00006063624,0.0001855492,0.00016101573,0.024150888],"genre_scores_gemma":[0.03862006,0.9488449,0.006211399,0.0005425607,0.00106906,0.000043730077,0.00045175443,0.00003971248,0.0041766833],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994968,0.00008919855,0.00005889078,0.000088325134,0.0002104642,0.000056405945],"domain_scores_gemma":[0.9989825,0.00056445465,0.000093200855,0.000077726065,0.00021329189,0.00006882077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005697151,0.0011159222,0.00096402445,0.002926981,0.00053320266,0.001986926,0.0007582201,0.0013693412,0.003782492],"category_scores_gemma":[0.0011500836,0.00043999287,0.0006478828,0.0039661243,0.0005792748,0.0034903467,0.0012004828,0.0012825894,0.0013256157],"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":[0.00007772622,0.00012367779,0.0029868637,0.010405835,0.0001167283,0.00051330455,0.000507188,0.01023377,0.0020531155,0.04983165,0.031863928,0.89128613],"study_design_scores_gemma":[0.000009506906,0.00021899214,0.004249063,0.0054831617,0.000113623864,0.0022765966,0.00078567606,0.01011979,0.0016945066,0.030630928,0.9443299,0.00008835644],"about_ca_topic_score_codex":0.0010056932,"about_ca_topic_score_gemma":0.0006652121,"teacher_disagreement_score":0.003782492,"about_ca_system_score_codex":0.0005175082,"about_ca_system_score_gemma":0.0009132853,"threshold_uncertainty_score":0.012653649},"labels":[],"label_agreement":null},{"id":"W3118036134","doi":"10.3390/en14010077","title":"Multivariable Unconstrained Pattern Search Method for Optimizing Digital PID Controllers Applied to Isolated Forward Converter","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Control Systems Optimization","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":"Dalhousie University","funders":"King Khalid University","keywords":"PID controller; Control theory (sociology); Multivariable calculus; Digital control; Heuristic; Computer science; Control engineering; Engineering; Electronic engineering; Control (management); Temperature control; Artificial intelligence","score_opus":0.010926495863382945,"score_gpt":0.23005175501998748,"score_spread":0.21912525915660452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118036134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024338508,0.00013403149,0.97214645,0.000043604465,0.000018708459,0.000034963537,0.000011946039,0.00015446525,0.003117366],"genre_scores_gemma":[0.7783617,0.00016509656,0.21770798,0.000044746077,0.000016706312,0.00019313878,0.000036604157,0.000035707766,0.0034382725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998822,0.000029250024,0.00000642984,0.000023047587,0.000048652346,0.000010385924],"domain_scores_gemma":[0.99987364,0.00005802861,0.00001878411,0.000009463899,0.00003612981,0.0000038763533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002901888,0.00043982113,0.00042976445,0.00022705334,0.0001898524,0.00036489067,0.0003789687,0.00035237713,0.0011457987],"category_scores_gemma":[0.00058234273,0.00020948565,0.0002143565,0.00030773866,0.00024645598,0.00023052473,0.00022557889,0.00025591394,0.00012574178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006743597,0.00003776759,0.000443782,0.00012708631,0.000028924793,0.00006055492,0.00006194283,0.883093,0.011582017,0.0062069944,0.00049150607,0.09779901],"study_design_scores_gemma":[0.0000096163585,0.00003827902,0.00011586249,0.0000024444419,0.0000038675153,0.000011816293,0.0000047998706,0.9976682,0.001211237,0.00057260774,0.00035849097,0.000002632993],"about_ca_topic_score_codex":0.002078089,"about_ca_topic_score_gemma":0.0020768673,"teacher_disagreement_score":0.002078089,"about_ca_system_score_codex":0.00024941273,"about_ca_system_score_gemma":0.0005089265,"threshold_uncertainty_score":0.0041320324},"labels":[],"label_agreement":null},{"id":"W3119013047","doi":"10.3390/en14020341","title":"Amphiphilic Block Copolymers with Vinyl Caprolactam as Kinetic Gas Hydrate Inhibitors","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental 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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Caprolactam; Copolymer; Chemistry; Chain transfer; Micelle; Polymer chemistry; Methane; Raft; Hydrate; Polymer; Chemical engineering; Aqueous solution; Materials science; Organic chemistry; Radical polymerization","score_opus":0.004134414753090982,"score_gpt":0.18729174300547288,"score_spread":0.1831573282523819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119013047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884163,0.0018498919,0.007209919,0.00005208055,0.000035359615,0.00006107857,0.00017520603,0.00017618405,0.002023976],"genre_scores_gemma":[0.9924865,0.00082539715,0.0045592478,0.000025879466,0.000011761448,0.000051533723,0.00019096331,0.000025996644,0.0018229088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998869,0.000018512015,0.000008824082,0.000026089048,0.000030106392,0.000029558818],"domain_scores_gemma":[0.999884,0.00001595032,0.000049423594,0.000010087216,0.0000113213055,0.000029149132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001378873,0.0005176892,0.0002028258,0.00015839649,0.000082291226,0.00020889066,0.0001688782,0.00019944464,0.0004332712],"category_scores_gemma":[0.00012396704,0.00016048827,0.00019871136,0.0001493836,0.00014429123,0.00027376605,0.00018682725,0.00036178282,0.00024186981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050290542,0.000009483329,0.000038883132,0.00002090574,0.00000315095,0.000019929,0.000005180745,0.000112736016,0.998865,0.00007378306,0.000011542779,0.0007892058],"study_design_scores_gemma":[0.0000052543983,0.00011090867,0.00031441584,0.0000016523736,0.00000531259,0.000027314616,0.0000018914426,0.00047745602,0.99820924,0.000007930939,0.000836602,0.0000019865201],"about_ca_topic_score_codex":0.00033098977,"about_ca_topic_score_gemma":0.00043741718,"teacher_disagreement_score":0.0005176892,"about_ca_system_score_codex":0.00031404998,"about_ca_system_score_gemma":0.00014004477,"threshold_uncertainty_score":0.002278626},"labels":[],"label_agreement":null},{"id":"W3119872046","doi":"10.3390/en14020427","title":"Identifying Reservoir Features via iSOR Response Behaviour","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Oil sands; Asphalt; Petroleum engineering; Steam-assisted gravity drainage; Steam injection; Geology; Oil shale; Shale oil; Environmental science; Materials science","score_opus":0.014066511579133254,"score_gpt":0.24613624041694515,"score_spread":0.2320697288378119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119872046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9459528,0.00013810467,0.0437475,0.00010265202,0.00001973537,0.000053299776,0.0006014128,0.0011941454,0.008190461],"genre_scores_gemma":[0.99305505,0.00004879424,0.0055451626,0.000020396878,0.0000036886222,0.000017265793,0.00020620087,0.000053701315,0.0010498601],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997416,0.000027176242,0.000012914088,0.00005660516,0.00011286002,0.000048873637],"domain_scores_gemma":[0.99962676,0.00009990662,0.000058411886,0.000040977706,0.00014071284,0.000033160653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040876144,0.00028638626,0.0003640198,0.0011564239,0.00015514666,0.0006213614,0.00037495108,0.0003611114,0.002070545],"category_scores_gemma":[0.0010791164,0.00016031222,0.0002515609,0.0006986158,0.00028653836,0.00059314084,0.0004214447,0.00040283587,0.0007360279],"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":[0.00082802016,0.0003101743,0.041007996,0.00038956068,0.00004951438,0.0006372198,0.00075157854,0.026330756,0.83773243,0.0014583493,0.0011561846,0.089348115],"study_design_scores_gemma":[0.000021221345,0.0009329769,0.1240529,0.000038786646,0.000046228914,0.0009151174,0.0012921073,0.4090799,0.45756358,0.001373167,0.0045300927,0.0001538673],"about_ca_topic_score_codex":0.0007839963,"about_ca_topic_score_gemma":0.0009567856,"teacher_disagreement_score":0.002070545,"about_ca_system_score_codex":0.00019736428,"about_ca_system_score_gemma":0.00018265322,"threshold_uncertainty_score":0.006926656},"labels":[],"label_agreement":null},{"id":"W3120539057","doi":"10.3390/en14020263","title":"Ultrasonic Delignification and Microstructural Characterization of Switchgrass","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","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":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"BioFuelNet Canada","keywords":"Crystallinity; Response surface methodology; Panicum virgatum; Sonication; Lignin; Materials science; Microstructure; Bioenergy; Box–Behnken design; Composite material; Biofuel; Pulp and paper industry; Mineralogy; Chemistry; Biotechnology; Chromatography; Biology; Organic chemistry","score_opus":0.005461136063883257,"score_gpt":0.18007610640827326,"score_spread":0.17461497034439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120539057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950094,0.0006009682,0.0037752609,0.000014706174,0.0000047539497,0.000009571205,0.00024186207,0.000024740826,0.00031869792],"genre_scores_gemma":[0.993342,0.00050150143,0.0040385164,0.00004228407,0.000005943193,0.00002706152,0.00076819333,0.000022216087,0.0012523866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991727,0.000007425011,0.0000056291724,0.000020631267,0.000035813275,0.000013326977],"domain_scores_gemma":[0.99991214,0.000019052812,0.000026640997,0.0000054263132,0.000025545274,0.00001117622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015086676,0.00020956276,0.00016794233,0.0002752933,0.000102219696,0.00022414116,0.00012141678,0.00015415848,0.0006739117],"category_scores_gemma":[0.00014350624,0.000103592014,0.00017051617,0.00029276792,0.00013365455,0.00014099167,0.00011032518,0.00022983694,0.00008305712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018167948,0.0000027041792,0.00038665844,0.000015461286,0.000002573666,0.000007933772,0.000013318957,0.000062231426,0.9984982,0.000009595335,0.0000036296274,0.0009794192],"study_design_scores_gemma":[0.0000054061734,0.0003177662,0.08220325,0.000004177137,0.000029558129,0.00010294883,0.00013372672,0.0022539983,0.9133271,0.00004403707,0.0015657708,0.000012260695],"about_ca_topic_score_codex":0.0028220492,"about_ca_topic_score_gemma":0.003872945,"teacher_disagreement_score":0.0028220492,"about_ca_system_score_codex":0.00019378956,"about_ca_system_score_gemma":0.00011600946,"threshold_uncertainty_score":0.005611241},"labels":[],"label_agreement":null},{"id":"W3120802736","doi":"10.3390/en14010247","title":"Estimating Energy Forecasting Uncertainty for Reliable AI Autonomous Smart Grid Design","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","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":"Ballard Power Systems (Canada); Queen's University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gradient boosting; Smart grid; Computer science; Electrical load; Artificial intelligence; Artificial neural network; Grid; Boosting (machine learning); Term (time); Machine learning; Data mining; Engineering; Random forest; Voltage","score_opus":0.023672074551308132,"score_gpt":0.2218904303412968,"score_spread":0.19821835578998867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120802736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038266856,0.00017033494,0.9598271,0.00026875868,0.000019636784,0.000019772233,0.000047635476,0.00025901714,0.0011208877],"genre_scores_gemma":[0.9303325,0.00009432065,0.06897985,0.000048613263,0.000021462325,0.000039330433,0.000083999716,0.000054495496,0.00034533648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945134,0.0001705904,0.00002805109,0.0000693833,0.00023585136,0.00004476929],"domain_scores_gemma":[0.99702376,0.0019460003,0.00032183825,0.00020328982,0.0004197878,0.00008528727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020090884,0.00055288797,0.000741159,0.0004355743,0.00035280117,0.00089103973,0.0006591644,0.0005560181,0.00075437763],"category_scores_gemma":[0.009693213,0.0005074358,0.00027186857,0.00031772075,0.00058855605,0.0017076797,0.000941948,0.0011336975,0.00014554511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029617211,0.000008792098,0.0006782898,0.000014208732,0.000010221485,0.000012727324,0.000022626935,0.9794953,0.0007862197,0.004597952,0.00020638587,0.014137724],"study_design_scores_gemma":[0.000001104832,0.000004170499,0.00006730036,0.0000023799823,8.038613e-7,0.0000018990316,0.0000020717991,0.9961957,0.00028705742,0.0033529846,0.00008269098,0.000001927841],"about_ca_topic_score_codex":0.0038969265,"about_ca_topic_score_gemma":0.0041094725,"teacher_disagreement_score":0.0038969265,"about_ca_system_score_codex":0.0008485597,"about_ca_system_score_gemma":0.0011519804,"threshold_uncertainty_score":0.010625243},"labels":[],"label_agreement":null},{"id":"W3122962021","doi":"10.3390/en14040821","title":"Probabilistic and Risk-Informed Life Extension Assessment of Wind Turbine Structural Components","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Energistyrelsen","keywords":"Life extension; Probabilistic logic; Reliability engineering; Reliability (semiconductor); Turbine; Computer science; Risk assessment; Wind power; Calibration; Risk analysis (engineering); Engineering; Mathematics; Statistics; Artificial intelligence","score_opus":0.0664582131768938,"score_gpt":0.33840177701870716,"score_spread":0.2719435638418134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122962021","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1865386,0.0005019368,0.8078293,0.00021702249,0.000017592933,0.000085261214,0.00017287135,0.00010966387,0.0045277053],"genre_scores_gemma":[0.97591066,0.00016339248,0.022888167,0.000015755668,0.0000080562995,0.000066542554,0.000082127175,0.000011022836,0.0008542616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986203,0.00063521235,0.00005968301,0.00013900716,0.00046081495,0.00008506581],"domain_scores_gemma":[0.99712795,0.0018595731,0.0004511879,0.00014554535,0.00037107017,0.00004467276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034376464,0.00069316966,0.0004826654,0.0009740522,0.00023467152,0.00074373407,0.0007519919,0.00093590777,0.0010760962],"category_scores_gemma":[0.006479282,0.00058576016,0.0007732899,0.00051131734,0.0006683185,0.0012438394,0.00085484394,0.000559069,0.00012515478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020960337,0.000005914035,0.00043087936,0.000011946645,0.000007376051,0.00001708504,0.000008260872,0.99345845,0.00037539538,0.001906866,0.000038625967,0.003718327],"study_design_scores_gemma":[0.0000035371465,0.000042841806,0.00069222215,0.000005966531,0.00001057556,0.00002307044,0.000008243766,0.99408734,0.0005292066,0.0043656845,0.00022154624,0.000009829775],"about_ca_topic_score_codex":0.0016415007,"about_ca_topic_score_gemma":0.0021367753,"teacher_disagreement_score":0.0034376464,"about_ca_system_score_codex":0.00086844014,"about_ca_system_score_gemma":0.0008021256,"threshold_uncertainty_score":0.018180251},"labels":[],"label_agreement":null},{"id":"W3123423803","doi":"10.3390/en14030674","title":"Radial Turbine Design for Solar Chimney Power Plants","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Turbine; Chimney (locomotive); Solar chimney; Marine engineering; Computational fluid dynamics; Mechanical engineering; Renewable energy; Engineering; Environmental science; Power station; Aerospace engineering; Inlet; Electrical engineering","score_opus":0.014757406295059994,"score_gpt":0.20011916348609,"score_spread":0.18536175719102999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123423803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23865767,0.0012328017,0.6883257,0.00034462885,0.0002699472,0.0004463658,0.0006230438,0.002960484,0.06713935],"genre_scores_gemma":[0.91383064,0.0004256616,0.07489113,0.00006336574,0.000024149109,0.00018703917,0.0003341126,0.00014936729,0.010094544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984837,0.000031594547,0.0000069746116,0.000035298235,0.000056675486,0.000020893578],"domain_scores_gemma":[0.9998729,0.000020349982,0.000019328261,0.000014846736,0.000052185213,0.000020308107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021863631,0.0005094235,0.00037707473,0.00025286447,0.00044472617,0.0007103328,0.00068969605,0.0005574107,0.0055293855],"category_scores_gemma":[0.00040182777,0.00022360112,0.00034828967,0.00022762101,0.00026329554,0.00041090848,0.00032292472,0.00041497638,0.0018738179],"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":[0.00054285396,0.00014063576,0.0062268404,0.0007837729,0.000056267425,0.0015594955,0.00017585323,0.6856094,0.12741673,0.027063942,0.00903531,0.14138886],"study_design_scores_gemma":[0.00015845361,0.0010906368,0.0065084826,0.00008953423,0.00007448162,0.0012302707,0.00016429652,0.8970998,0.034178555,0.0060946485,0.053220935,0.00008995446],"about_ca_topic_score_codex":0.0016737746,"about_ca_topic_score_gemma":0.003004076,"teacher_disagreement_score":0.0055293855,"about_ca_system_score_codex":0.00039317395,"about_ca_system_score_gemma":0.00066331576,"threshold_uncertainty_score":0.018497586},"labels":[],"label_agreement":null},{"id":"W3123611888","doi":"10.3390/en14030658","title":"100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":32,"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":"Renewable energy; Natural resource economics; Electricity generation; Environmental economics; Fossil fuel; Renewable resource; Grid; Energy supply; Flexibility (engineering); Environmental science; Engineering; Economics; Power (physics); Geography; Energy (signal processing)","score_opus":0.005095653773620307,"score_gpt":0.18291437314969,"score_spread":0.1778187193760697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123611888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363873,0.0006799364,0.009049833,0.0016603922,0.0000377407,0.00006455204,0.0049814903,0.00017580212,0.04696303],"genre_scores_gemma":[0.9953597,0.00026455076,0.0012709607,0.000081524486,0.000005730176,0.000048543916,0.0009062277,0.000021845972,0.0020408821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996735,0.00019963428,0.000008249695,0.000037513357,0.000030542735,0.00005061051],"domain_scores_gemma":[0.99951005,0.00027122998,0.00005741454,0.000030443294,0.000087148874,0.00004374771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043532898,0.00071933825,0.00046694218,0.00065607106,0.0005644046,0.0011034234,0.00097294286,0.0010578113,0.0028449555],"category_scores_gemma":[0.00153085,0.00039932402,0.0005643188,0.0017239199,0.0006104317,0.0011180892,0.0008386144,0.0006767361,0.00022386627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060146554,0.000029291656,0.0030143573,0.000028392938,0.000031781274,0.00024922448,0.000035813362,0.9851848,0.00018894818,0.008258623,0.0013614148,0.0015571495],"study_design_scores_gemma":[0.00007854357,0.00006904133,0.008842152,0.000028223447,0.000045687746,0.00014705562,0.0005480724,0.9663865,0.00034481153,0.018411933,0.00506358,0.000034386132],"about_ca_topic_score_codex":0.10576845,"about_ca_topic_score_gemma":0.11391092,"teacher_disagreement_score":0.10576845,"about_ca_system_score_codex":0.0028893268,"about_ca_system_score_gemma":0.0007425305,"threshold_uncertainty_score":0.21030563},"labels":[],"label_agreement":null},{"id":"W3123705513","doi":"10.3390/en14030543","title":"Analysis of Corrosion of Hastelloy-N, Alloy X750, SS316 and SS304 in Molten Salt High-Temperature Environment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Materials science; Corrosion; Metallurgy; Alloy; Superalloy; Molten salt; X-ray photoelectron spectroscopy; Chemical engineering","score_opus":0.002965771547669727,"score_gpt":0.15599767214853752,"score_spread":0.1530319006008678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123705513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990947,0.00026360492,0.00016714587,0.000007315148,0.000004188396,0.0000048459906,0.00015638582,0.000011798471,0.00029007383],"genre_scores_gemma":[0.9956951,0.00033124723,0.0007778615,0.000011533625,0.0000030199226,0.000009345124,0.0005611386,0.000008757817,0.0026020978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998209,0.000011321421,0.00001744594,0.000027425278,0.00010369477,0.000019299368],"domain_scores_gemma":[0.9998709,0.000008605137,0.00002482671,0.0000072974103,0.00007161786,0.000016804344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013435901,0.0003611563,0.00030706928,0.00037029517,0.00024108977,0.00020015464,0.000288205,0.00036419474,0.00075093517],"category_scores_gemma":[0.00017145347,0.00015046279,0.00032907393,0.00036732855,0.00013788269,0.0001530852,0.00013633254,0.00015469462,0.00019167952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015358208,0.000013585761,0.0026439782,0.0000931701,0.000011668013,0.00017689518,0.00005411209,0.00023868155,0.9945015,0.000022212977,0.00005613228,0.0020345515],"study_design_scores_gemma":[0.000012191171,0.0015663705,0.09061914,0.000019773866,0.00006300805,0.00046006823,0.00037364534,0.0020609146,0.9027821,0.000027239783,0.00199731,0.00001823559],"about_ca_topic_score_codex":0.0047990214,"about_ca_topic_score_gemma":0.009744204,"teacher_disagreement_score":0.0047990214,"about_ca_system_score_codex":0.000298067,"about_ca_system_score_gemma":0.0001811367,"threshold_uncertainty_score":0.009542167},"labels":[],"label_agreement":null},{"id":"W3125531171","doi":"10.3390/en14030608","title":"A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deep learning; Computer science; Artificial intelligence; Energy (signal processing); Feature (linguistics); Energy modeling; Energy consumption; Data science; Machine learning; Risk analysis (engineering); Engineering","score_opus":0.038170942837335534,"score_gpt":0.2730343484977007,"score_spread":0.23486340566036518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125531171","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":[0.000908351,0.9807115,0.01197909,0.0006591381,0.00045894997,0.000028388147,0.0002792958,0.00007496605,0.004900378],"genre_scores_gemma":[0.0054217074,0.9870996,0.005419255,0.0001971103,0.0002893736,0.000023032348,0.0002595898,0.000014243126,0.0012761505],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996915,0.000051436047,0.000052700325,0.000063314685,0.00012145658,0.00001972982],"domain_scores_gemma":[0.999265,0.00045044842,0.00006141034,0.000021909316,0.00018522242,0.000015909463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061072473,0.0011375909,0.0007484019,0.0018019944,0.00018696731,0.0008704018,0.00084712164,0.0008577356,0.0034456046],"category_scores_gemma":[0.0018498676,0.00046744186,0.00087282155,0.0030596517,0.00021417999,0.0014881266,0.0005042968,0.001045238,0.0014506861],"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":[0.00003544321,0.000054363114,0.0005932943,0.017577685,0.00013365033,0.00009185004,0.00005506088,0.008152851,0.0011450414,0.0077709854,0.017554037,0.94683576],"study_design_scores_gemma":[0.000013944856,0.00020164733,0.002930541,0.0146124195,0.0004527949,0.00063628546,0.00012019022,0.015460905,0.0027846752,0.011465903,0.95122933,0.00009137706],"about_ca_topic_score_codex":0.002930848,"about_ca_topic_score_gemma":0.0034824694,"teacher_disagreement_score":0.0034456046,"about_ca_system_score_codex":0.00046155523,"about_ca_system_score_gemma":0.001027242,"threshold_uncertainty_score":0.011526644},"labels":[],"label_agreement":null},{"id":"W3126813543","doi":"10.3390/en14040950","title":"Visualization of Chemical Heavy Oil EOR Displacement Mechanisms in a 2D System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pulmonary surfactant; Enhanced oil recovery; Viscous fingering; Residual oil; Porous medium; Petroleum engineering; Polymer; Chemical engineering; Materials science; Displacement (psychology); Saturation (graph theory); Chemistry; Porosity; Geology; Composite material; Engineering","score_opus":0.005658379725601089,"score_gpt":0.22699488924151848,"score_spread":0.22133650951591738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126813543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9191127,0.0012569784,0.07026847,0.0005342616,0.00006465228,0.00011293445,0.0011188654,0.0010317415,0.0064993966],"genre_scores_gemma":[0.92189205,0.0013341793,0.07162147,0.0001483915,0.000031072144,0.00014989648,0.00054666767,0.00011615214,0.0041601416],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992037,0.000008264759,0.0000040643827,0.000015922617,0.00003143833,0.000019918612],"domain_scores_gemma":[0.9998709,0.00006231329,0.000018430266,0.00000976576,0.000021730142,0.000016877035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016191437,0.00031775286,0.00021292998,0.0004092808,0.00020365306,0.00045023038,0.0002826454,0.00053219934,0.003163187],"category_scores_gemma":[0.00021158294,0.00026151276,0.00019083191,0.00020842909,0.00022447779,0.00049344363,0.00055396644,0.00059991167,0.00031842611],"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":[0.00009916744,0.000040907737,0.00088783953,0.00020417174,0.000009613338,0.00044302185,0.00019598354,0.006026008,0.98433083,0.00088927883,0.00039012072,0.0064830687],"study_design_scores_gemma":[0.0000944895,0.0004215003,0.01419655,0.00006333987,0.00003639683,0.0010318962,0.00047984358,0.23498961,0.7332847,0.0012660461,0.014027856,0.000107751526],"about_ca_topic_score_codex":0.000928376,"about_ca_topic_score_gemma":0.001172927,"teacher_disagreement_score":0.003163187,"about_ca_system_score_codex":0.00029068752,"about_ca_system_score_gemma":0.0003425097,"threshold_uncertainty_score":0.010581911},"labels":[],"label_agreement":null},{"id":"W3127044564","doi":"10.3390/en14030706","title":"Deep Geothermal Heating Potential for the Communities of the Western Canadian Sedimentary Basin","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; University of Alberta","funders":"Helmholtz-Alberta Initiative; University of Alberta","keywords":"Geothermal gradient; Structural basin; Foreland basin; Geology; Sedimentary rock; Aquifer; Sedimentary basin; Geothermal energy; Archaeology; Hydrology (agriculture); Geomorphology; Geochemistry; Groundwater; Paleontology; Geography","score_opus":0.011847191538543621,"score_gpt":0.21518893632161262,"score_spread":0.203341744783069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127044564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9503942,0.0025720655,0.0008185712,0.00044782792,0.000011846217,0.00008945026,0.0057945643,0.00005432116,0.039817065],"genre_scores_gemma":[0.9907058,0.0015219037,0.0012435598,0.00006150961,0.000003378212,0.000026396287,0.0015990246,0.0000073955875,0.0048310747],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997342,0.0000100343195,0.0000069981534,0.000023796318,0.00008085777,0.00014413576],"domain_scores_gemma":[0.9994524,0.000018186698,0.0000392009,0.000010058497,0.00033781092,0.00014241581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018933791,0.00039554766,0.00017486568,0.0022984673,0.0031459255,0.0011073247,0.0004951752,0.00015749136,0.002803432],"category_scores_gemma":[0.0005977708,0.00013579735,0.00030150902,0.0032800385,0.00051099336,0.0003821221,0.0008593922,0.00019477692,0.000154792],"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":[0.00016754954,0.00004047791,0.8568457,0.0003667644,0.00015130822,0.00049950794,0.0054521817,0.0048723305,0.005179762,0.003539011,0.0072646854,0.11562084],"study_design_scores_gemma":[0.0000065006648,0.000020843629,0.97155917,0.000100635356,0.00007654387,0.00015386794,0.0074175103,0.001176386,0.0005259843,0.0004934713,0.018438915,0.000030208661],"about_ca_topic_score_codex":0.993212,"about_ca_topic_score_gemma":0.9989039,"teacher_disagreement_score":0.019648496,"about_ca_system_score_codex":0.019648496,"about_ca_system_score_gemma":0.021542806,"threshold_uncertainty_score":0.14256048},"labels":[],"label_agreement":null},{"id":"W3127116226","doi":"10.3390/en14030730","title":"Integration and Optimal Control of MicroCSP with Building HVAC Systems: Review and Future Directions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic 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":false,"ca_institutions":"University of Alberta","funders":"Michigan Technological University; National Science Foundation","keywords":"HVAC; Cogeneration; Air conditioning; Electricity; Engineering; Automotive engineering; Architectural engineering; Control engineering; Computer science; Electricity generation; Mechanical engineering; Electrical engineering; Power (physics)","score_opus":0.006519339822980653,"score_gpt":0.21474482862835548,"score_spread":0.20822548880537484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127116226","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":[0.0008139686,0.98825127,0.008236168,0.00019104198,0.00019775175,0.0000105462905,0.000010217762,0.000024200517,0.002264783],"genre_scores_gemma":[0.01444439,0.9768952,0.0067950045,0.00015343673,0.00070267654,0.000018952318,0.00004445472,0.000011908079,0.00093392294],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963343,0.000058020865,0.000042403495,0.00009777906,0.00013837326,0.000030014862],"domain_scores_gemma":[0.9991804,0.0004575045,0.00009988429,0.000039182938,0.00018662978,0.000036317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008586649,0.00087245443,0.001326851,0.0009179732,0.00018256808,0.0012761117,0.0011627653,0.0011437491,0.002198968],"category_scores_gemma":[0.0008561172,0.0005125204,0.0007753818,0.0023704264,0.00065965235,0.0017623184,0.00069538585,0.0010295773,0.0007519521],"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":[0.00008316235,0.00015815943,0.00048263997,0.014939709,0.0001969306,0.0001225739,0.00010149858,0.012235206,0.0020856338,0.019599311,0.0049864016,0.9450088],"study_design_scores_gemma":[0.000043158907,0.0010436879,0.0028183528,0.0074213143,0.0006341454,0.0010850878,0.00031573643,0.02741429,0.004735484,0.017825913,0.93650806,0.0001547459],"about_ca_topic_score_codex":0.0014623022,"about_ca_topic_score_gemma":0.000928503,"teacher_disagreement_score":0.002198968,"about_ca_system_score_codex":0.00043898527,"about_ca_system_score_gemma":0.0008969534,"threshold_uncertainty_score":0.007356286},"labels":[],"label_agreement":null},{"id":"W3127169836","doi":"10.3390/en14030729","title":"Role of Monovalent and Divalent Ions in Low-Salinity Water Flood in Carbonate Reservoirs: An Integrated Analysis through Zeta Potentiometric and Simulation Studies","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Oil and Natural Gas Corporation","keywords":"Potentiometric titration; Zeta potential; Dissolution; Chemistry; Dilution; Carbonate; Chemical engineering; Ion; Inorganic chemistry; Thermodynamics","score_opus":0.01953712159529134,"score_gpt":0.2856312960861604,"score_spread":0.26609417449086903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127169836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99324167,0.00024150584,0.005159754,0.00007882863,0.000008888761,0.000016949001,0.00011941106,0.000035228597,0.0010978765],"genre_scores_gemma":[0.9981046,0.00021978377,0.0012856618,0.000008584554,0.0000017612942,0.000009719499,0.00005035439,0.0000037894229,0.0003156708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999529,0.0000069371363,0.0000038028538,0.000007380755,0.000016871432,0.000012029285],"domain_scores_gemma":[0.9999254,0.000033828725,0.000012793672,0.000004908622,0.000016840346,0.0000062653703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018542614,0.00017126296,0.00022813487,0.00016299434,0.0001363458,0.00032681288,0.00027297813,0.0003081441,0.0004804843],"category_scores_gemma":[0.00026563066,0.00011420163,0.0003212595,0.0001577604,0.00015697487,0.00038522758,0.00020579068,0.00024750622,0.00006481001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004878021,0.00026384945,0.03753687,0.00056397956,0.00011395661,0.0009000454,0.00031246018,0.5399094,0.39613694,0.0029706953,0.00037101252,0.02043295],"study_design_scores_gemma":[0.000021554264,0.00022753024,0.0046249013,0.0000087828075,0.00002960271,0.00005120688,0.000108286134,0.92984307,0.06381173,0.00039019404,0.00086383265,0.000019208881],"about_ca_topic_score_codex":0.0038268424,"about_ca_topic_score_gemma":0.0028019513,"teacher_disagreement_score":0.0038268424,"about_ca_system_score_codex":0.00026195243,"about_ca_system_score_gemma":0.0003260675,"threshold_uncertainty_score":0.0076091886},"labels":[],"label_agreement":null},{"id":"W3127282465","doi":"10.3390/en14040834","title":"Economics of Grid-Tied Solar Photovoltaic Systems Coupled to Heat Pumps: The Case of Northern Climates of the U.S. and Canada","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":64,"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":"Photovoltaic system; Renewable energy; Environmental science; Renewable heat; Electricity; Greenhouse gas; Sustainability; Meteorology; Natural resource economics; Heat pump; Engineering; Economics; Electrical engineering; Mechanical engineering; Geography","score_opus":0.00386842935264196,"score_gpt":0.15855740315647132,"score_spread":0.15468897380382937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127282465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576288,0.00044449707,0.00089909375,0.0012330479,0.000020233525,0.000052692558,0.0013572688,0.000039579183,0.038324893],"genre_scores_gemma":[0.9959273,0.00025677498,0.00043422257,0.000046052755,0.0000022227973,0.000009157955,0.00018254493,0.000008295036,0.0031333202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996538,0.000063392166,0.000006886948,0.000038094706,0.000068765694,0.00016898404],"domain_scores_gemma":[0.9994906,0.00014564248,0.000040571864,0.000022282002,0.00017953308,0.000121261946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040637082,0.00043882546,0.0004402022,0.00052597973,0.0017936784,0.002463866,0.0010552498,0.00079681043,0.0035755052],"category_scores_gemma":[0.0012748142,0.00031270107,0.00094843464,0.0011063789,0.0010478228,0.00080686214,0.0008401301,0.00082428934,0.00013714969],"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":[0.00036524498,0.00015104741,0.034633934,0.00009084048,0.00010346101,0.0010624158,0.00018795946,0.9220532,0.0015004721,0.02762279,0.004933792,0.007294879],"study_design_scores_gemma":[0.00018273295,0.00019493699,0.056051258,0.000066769804,0.0001958779,0.00022044661,0.0032629478,0.92593277,0.0011861253,0.0058960295,0.0066807102,0.00012937358],"about_ca_topic_score_codex":0.9626077,"about_ca_topic_score_gemma":0.9601833,"teacher_disagreement_score":0.03739232,"about_ca_system_score_codex":0.0296606,"about_ca_system_score_gemma":0.014466787,"threshold_uncertainty_score":0.2152037},"labels":[],"label_agreement":null},{"id":"W3128053792","doi":"10.3390/en14030724","title":"Reviewing the Exergy Analysis of Solar Thermal Systems Integrated with Phase Change Materials","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Exergy; Process engineering; Exergy efficiency; Thermal energy storage; Thermal; Solar energy; Phase-change material; Thermodynamics; Heat transfer; Environmental science; Heat transfer fluid; Photovoltaic thermal hybrid solar collector; Nuclear engineering; Materials science; Engineering; Physics; Electrical engineering","score_opus":0.061732368504575696,"score_gpt":0.2894641737324711,"score_spread":0.22773180522789538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128053792","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":[0.13591534,0.4651552,0.269003,0.00086188526,0.0010839734,0.00025310132,0.0013443553,0.00033014288,0.12605305],"genre_scores_gemma":[0.6660736,0.26563036,0.032359008,0.00022007746,0.00041112784,0.0001996585,0.0010282642,0.000294692,0.033783153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998417,0.00002237231,0.00000990608,0.000027247475,0.000085232256,0.000013506475],"domain_scores_gemma":[0.99994266,0.000026006366,0.0000041675034,0.000004242116,0.000021393356,0.0000016335922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024985493,0.0005951381,0.00064838066,0.0008737473,0.00021781321,0.0006213739,0.0003765564,0.00037375963,0.0021683893],"category_scores_gemma":[0.0002786389,0.0002591617,0.00080755516,0.0011917606,0.00022355189,0.0009572406,0.00026376464,0.00052906654,0.000619616],"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":[0.00014772905,0.00016291733,0.0029831743,0.015609518,0.0005418157,0.0007414648,0.0002909017,0.2685779,0.106843,0.12073037,0.008020469,0.47535077],"study_design_scores_gemma":[0.000017987315,0.00068639795,0.019267892,0.0023057987,0.00061720586,0.001256974,0.00046869228,0.22661157,0.123581715,0.07540957,0.5496262,0.00014996114],"about_ca_topic_score_codex":0.00097652944,"about_ca_topic_score_gemma":0.001222684,"teacher_disagreement_score":0.0021683893,"about_ca_system_score_codex":0.0005456221,"about_ca_system_score_gemma":0.00043518585,"threshold_uncertainty_score":0.0072540045},"labels":[],"label_agreement":null},{"id":"W3129369310","doi":"10.3390/en14051237","title":"Research on the Transmission of Stresses by Roof Cutting near Gob Rocks","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Roof; Geology; Geotechnical engineering; Overburden; Excavation; Stress (linguistics); Overburden pressure; Coal mining; Deformation (meteorology); Mining engineering; Stress field; Coal; Engineering; Structural engineering; Finite element method","score_opus":0.02241483276500615,"score_gpt":0.25453052033828416,"score_spread":0.232115687573278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129369310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98710966,0.0003933656,0.009972652,0.00007940229,0.000018064986,0.0000132725945,0.00003320002,0.000053529686,0.0023268163],"genre_scores_gemma":[0.9982241,0.00026982315,0.0010148172,0.0000054807365,0.0000058194987,0.0000048077877,0.00002179264,0.000005050574,0.0004483296],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998797,0.000011480495,0.0000063696707,0.00002421352,0.000045964483,0.000032276337],"domain_scores_gemma":[0.9998883,0.000024721106,0.000027155225,0.000012261843,0.000032815828,0.000014724318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013486823,0.00025701648,0.00029122288,0.0005075688,0.0005491456,0.00047748137,0.00047780265,0.00039645517,0.00090104836],"category_scores_gemma":[0.00030586257,0.00023190322,0.00036346584,0.00040563103,0.00047844157,0.000512942,0.00028994874,0.00024998456,0.00014103927],"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":[0.00031655794,0.00019674472,0.13126224,0.0011261433,0.00016202418,0.005678409,0.0028785723,0.10770578,0.59589124,0.009080369,0.0007474602,0.14495447],"study_design_scores_gemma":[0.000060832146,0.000876932,0.31403983,0.00012696547,0.000178468,0.0022054901,0.005334149,0.5426238,0.12136173,0.0057236566,0.0073134876,0.00015468469],"about_ca_topic_score_codex":0.0032285366,"about_ca_topic_score_gemma":0.0027348737,"teacher_disagreement_score":0.0032285366,"about_ca_system_score_codex":0.0003265416,"about_ca_system_score_gemma":0.00035803486,"threshold_uncertainty_score":0.00641948},"labels":[],"label_agreement":null},{"id":"W3130233676","doi":"10.3390/en14041195","title":"Model Predictive Control Strategies to Activate the Energy Flexibility for Zones with Hydronic Radiant Systems","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Natural Sciences and Engineering Research Council of Canada; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Radiant heating; Electricity; Flexibility (engineering); Demand response; Environmental science; Automotive engineering; Heating system; Energy consumption; Computer science; Simulation; Engineering; Mechanical engineering; Electrical engineering; Materials science; Mathematics","score_opus":0.010238083962664471,"score_gpt":0.20084031923006906,"score_spread":0.1906022352674046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130233676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14479569,0.0005278184,0.84140325,0.00016869316,0.000083336454,0.00010586198,0.000063669744,0.00077198935,0.012079659],"genre_scores_gemma":[0.9921633,0.000080038924,0.006765842,0.000018694676,0.000008913353,0.000038489732,0.000017403965,0.000008216018,0.0008991139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998431,0.00003169412,0.000008640932,0.00003812431,0.000045735735,0.000032636766],"domain_scores_gemma":[0.9998153,0.00006623378,0.000058776433,0.000013872515,0.000036714413,0.0000091816855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031697043,0.0006845229,0.00040066548,0.0002229818,0.00026997807,0.0005692559,0.0006642966,0.00031053234,0.0013332545],"category_scores_gemma":[0.000445578,0.00021877958,0.00030235705,0.00016893522,0.0003156255,0.00026769942,0.0005301193,0.0005198068,0.00016376612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017380038,0.00009589714,0.0005243115,0.00012731222,0.000044760785,0.000092950075,0.00009652069,0.933057,0.0237002,0.0028186494,0.0005430105,0.038725555],"study_design_scores_gemma":[0.000020835701,0.00012902613,0.0004762783,0.000008772715,0.000021246366,0.00001650547,0.000020256939,0.9940036,0.004014689,0.000585536,0.000693824,0.000009331187],"about_ca_topic_score_codex":0.0031974702,"about_ca_topic_score_gemma":0.00393853,"teacher_disagreement_score":0.0031974702,"about_ca_system_score_codex":0.00028372562,"about_ca_system_score_gemma":0.00030314966,"threshold_uncertainty_score":0.0063577294},"labels":[],"label_agreement":null},{"id":"W3130745033","doi":"10.3390/en14041166","title":"New Insights into Hydrothermal Fluid Circulation Affected by Regional Groundwater Flow in the Asal Rift, Republic of Djibouti","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Kementerian Tenaga dan Sumber Asli; Islamic Development Bank","keywords":"Geology; Groundwater flow; Hydrogeology; Hydrothermal circulation; Rift; Geothermal gradient; Groundwater; Petrology; Magnetotellurics; Groundwater recharge; Aquifer; Fluid dynamics; Geomorphology; Geophysics; Hydrology (agriculture); Electrical resistivity and conductivity; Seismology; Geotechnical engineering; Structural basin; Mechanics","score_opus":0.012385937837388112,"score_gpt":0.218540767157339,"score_spread":0.20615482931995088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130745033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986772,0.00022334524,0.00023275806,0.000084505526,0.0000042711617,0.000004007112,0.00019846938,0.000015052337,0.00056040264],"genre_scores_gemma":[0.99934703,0.00012155596,0.00021146651,0.000013989412,0.000004637227,0.0000028342367,0.00016661969,0.0000030971682,0.00012870338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995124,0.000010410919,0.000003144786,0.000013597704,0.0000074824516,0.000014087153],"domain_scores_gemma":[0.99995995,0.000009790381,0.000011969794,0.000002625651,0.0000065847903,0.000009100522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011816176,0.00023415078,0.00020926444,0.00081503426,0.0002961352,0.0006176164,0.00018056815,0.00030770228,0.00068072655],"category_scores_gemma":[0.00019972074,0.00014403033,0.00024333563,0.0007894675,0.00039881523,0.00025420438,0.0002745167,0.0001834932,0.00006100013],"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":[0.0004111005,0.00023906508,0.80353105,0.00028909667,0.00030336247,0.003687336,0.0023613719,0.04348767,0.107935816,0.0012902837,0.0010784981,0.035385326],"study_design_scores_gemma":[0.000022466558,0.000030838917,0.97655845,0.000012462735,0.000032466698,0.00012437475,0.0007691415,0.020536494,0.0007966686,0.00012527303,0.0009760587,0.00001535509],"about_ca_topic_score_codex":0.028272286,"about_ca_topic_score_gemma":0.039462984,"teacher_disagreement_score":0.028272286,"about_ca_system_score_codex":0.00070511154,"about_ca_system_score_gemma":0.0003794663,"threshold_uncertainty_score":0.056215405},"labels":[],"label_agreement":null},{"id":"W3130772115","doi":"10.3390/en14051250","title":"Effect of Pore Shape and Spacing on Water Droplet Dynamics in Flow Channels of Proton Exchange Membrane Fuel Cells","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Saskatchewan","keywords":"Proton exchange membrane fuel cell; Volume of fluid method; Mechanics; Microporous material; Pressure drop; Materials science; Work (physics); Computational fluid dynamics; Drop (telecommunication); Cathode; Two-phase flow; Porosity; Volumetric flow rate; Flow (mathematics); Chemistry; Porous medium; Membrane; Composite material; Thermodynamics; Mechanical engineering","score_opus":0.0032543462920998976,"score_gpt":0.1808612849011476,"score_spread":0.17760693860904772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130772115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968927,0.000056454082,0.002533623,0.000020516905,0.000006494606,0.000007846769,0.000040153947,0.00003140393,0.00041074157],"genre_scores_gemma":[0.998857,0.000038325146,0.0009907251,0.0000035432038,7.79623e-7,0.000004043611,0.000012843549,0.000005361509,0.00008726046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988437,0.000018593764,0.00000704141,0.000022011134,0.000028180175,0.000039909613],"domain_scores_gemma":[0.9995753,0.00025515407,0.000061643026,0.000025108653,0.000045223085,0.000037537724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024710846,0.000220044,0.00030676002,0.00030873812,0.00033043642,0.000695478,0.00035847045,0.00055310037,0.0004070596],"category_scores_gemma":[0.00087842613,0.00020742377,0.00031687558,0.00022953252,0.0004566031,0.00061403314,0.00031856517,0.00031375102,0.00005083526],"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":[0.00040768395,0.00024492992,0.010047879,0.00006976064,0.000025580302,0.0003101533,0.00015657437,0.8590737,0.11881442,0.0016032151,0.00008884778,0.009157196],"study_design_scores_gemma":[0.000023706625,0.00015094256,0.0020470626,0.000006201678,0.000010765268,0.00003338519,0.000059860482,0.9421312,0.05509108,0.00021353248,0.00020969856,0.000022671169],"about_ca_topic_score_codex":0.0037965684,"about_ca_topic_score_gemma":0.0024865593,"teacher_disagreement_score":0.0037965684,"about_ca_system_score_codex":0.0006144324,"about_ca_system_score_gemma":0.0005442467,"threshold_uncertainty_score":0.0075489283},"labels":[],"label_agreement":null},{"id":"W3130792830","doi":"10.3390/en14041050","title":"Impact of Inverter Based Resources on System Protection","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Relay; Remedial education; Inverter; Computer science; Electric power system; Protective relay; Power (physics); Reliability engineering; Engineering; Electrical engineering; Voltage","score_opus":0.008875875674653897,"score_gpt":0.20978459447833106,"score_spread":0.20090871880367717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130792830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8442686,0.0012955243,0.118489996,0.00045836307,0.000087222215,0.000076572265,0.00024544846,0.0007964978,0.034281775],"genre_scores_gemma":[0.9977107,0.000102825,0.0016585186,0.000015419771,0.0000056354866,0.0000029792525,0.00002211651,0.00001207464,0.0004696378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905795,0.00031070542,0.000042281754,0.00011136911,0.00036513584,0.00011256353],"domain_scores_gemma":[0.99636805,0.0023260256,0.00039496846,0.00039614353,0.000443606,0.00007123872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072624354,0.00040924878,0.00041367934,0.00044527062,0.00023580935,0.000838939,0.00070152094,0.00061047537,0.0034045132],"category_scores_gemma":[0.004568284,0.000117797594,0.00019547572,0.0003991606,0.00051006244,0.0013478319,0.00075125153,0.00046632462,0.00045325764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002007963,0.00023605718,0.031209925,0.00095187634,0.00020544759,0.0023457315,0.00061490346,0.46536338,0.12097284,0.02699701,0.002030828,0.34706405],"study_design_scores_gemma":[0.0001335262,0.0040780175,0.04804781,0.00031216827,0.00032351134,0.0036902647,0.001379555,0.7304838,0.16716988,0.023440624,0.02084865,0.00009220793],"about_ca_topic_score_codex":0.00087811105,"about_ca_topic_score_gemma":0.0009709344,"teacher_disagreement_score":0.0034045132,"about_ca_system_score_codex":0.00063699204,"about_ca_system_score_gemma":0.00021807899,"threshold_uncertainty_score":0.0113892555},"labels":[],"label_agreement":null},{"id":"W3131373906","doi":"10.3390/en14041170","title":"Effect of Upstream Side Flow of Wind Turbine on Aerodynamic Noise: Simulation Using Open-Loop Vibration in the Rod in Rod-Airfoil Configuration","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Airfoil; Strouhal number; Turbine; Aerodynamics; Noise (video); Turbine blade; Vibration; Acoustics; Lift (data mining); Trailing edge; Wind tunnel; Structural engineering; Potential flow; Leading edge; Lift coefficient; Engineering; Mechanics; Reynolds number; Physics; Turbulence; Aerospace engineering; Computer science","score_opus":0.009851735899772873,"score_gpt":0.2573142974943203,"score_spread":0.2474625615945474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131373906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871136,0.00006270736,0.00991424,0.000056729445,0.000024408037,0.000018314977,0.000051341533,0.000078913734,0.002679712],"genre_scores_gemma":[0.99836224,0.000024194926,0.0011697303,0.0000068409713,0.000002291185,0.000006833942,0.000018454846,0.000005064306,0.00040432217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999323,0.000018826191,0.0000034032803,0.000009304516,0.00001778626,0.00001839359],"domain_scores_gemma":[0.99974674,0.00015334104,0.0000313157,0.000013847812,0.000030475749,0.000024270174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019367559,0.00027659847,0.0002663557,0.00022528505,0.0002619722,0.0003390334,0.00031851872,0.0006655517,0.000790547],"category_scores_gemma":[0.0005141363,0.00012630766,0.00035935154,0.0001245873,0.0004047499,0.00023817694,0.00022852629,0.0002919593,0.000058094207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017096191,0.000113998954,0.0036073788,0.00005103184,0.000014796161,0.000346631,0.00008734536,0.9758077,0.01514838,0.00076129875,0.00014372141,0.003746715],"study_design_scores_gemma":[0.000008754859,0.00006695432,0.0009787857,0.0000024683359,0.000004167902,0.000011413578,0.0000186228,0.9974227,0.001365549,0.00006233228,0.000054680986,0.0000036011477],"about_ca_topic_score_codex":0.0057555544,"about_ca_topic_score_gemma":0.0026058708,"teacher_disagreement_score":0.0057555544,"about_ca_system_score_codex":0.00018247966,"about_ca_system_score_gemma":0.00021789692,"threshold_uncertainty_score":0.011444092},"labels":[],"label_agreement":null},{"id":"W3133791651","doi":"10.3390/en14051329","title":"Effect of Ultrasound on Henna Leaves Drying and Extraction of Lawsone: Experimental and Modeling Study","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Lawsone; Extraction (chemistry); Ultrasound; Arrhenius equation; Chemistry; Yield (engineering); Activation energy; Materials science; Chromatography; Organic chemistry; Composite material","score_opus":0.022725150236501512,"score_gpt":0.28019760980542635,"score_spread":0.25747245956892484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133791651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872465,0.0010459838,0.009932834,0.000045901234,0.000012382825,0.000026556148,0.00031484387,0.000085103675,0.0012899934],"genre_scores_gemma":[0.99332047,0.00095410505,0.004170039,0.000014317698,0.0000037752175,0.00003122963,0.0001956142,0.000018123448,0.0012923507],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999131,0.000008290403,0.0000060720963,0.000026878562,0.000035110654,0.000010540663],"domain_scores_gemma":[0.9998708,0.000072306124,0.00002003857,0.000009562278,0.000022637614,0.0000046170053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022862674,0.00026912842,0.0004030081,0.00019023748,0.00012955298,0.00022224805,0.0002913684,0.00030580602,0.0008430552],"category_scores_gemma":[0.00033194062,0.00014702605,0.00044696932,0.0003272194,0.00013367673,0.00037842643,0.000117278556,0.00034205124,0.00020071439],"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":[0.00031165557,0.00013557074,0.002725053,0.00067603413,0.00003368083,0.00025629732,0.00015353684,0.060767274,0.92398524,0.0005117992,0.00019448747,0.010249366],"study_design_scores_gemma":[0.00002476812,0.0004675131,0.0087972805,0.000022328211,0.00006662401,0.00013576724,0.000081353624,0.27113494,0.71624124,0.00027207544,0.002717303,0.000038866703],"about_ca_topic_score_codex":0.0021975448,"about_ca_topic_score_gemma":0.0021262385,"teacher_disagreement_score":0.0021975448,"about_ca_system_score_codex":0.00021364378,"about_ca_system_score_gemma":0.00012680727,"threshold_uncertainty_score":0.004369557},"labels":[],"label_agreement":null},{"id":"W3133803916","doi":"10.3390/en14051289","title":"Impact of Tube Bundle Placement on the Thermal Charging of a Latent Heat Storage Unit","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Thermal energy storage; Phase-change material; Heat transfer; Natural convection; Thermodynamics; Latent heat; Mechanics; Heat exchanger; Streamlines, streaklines, and pathlines; Thermal; Tube (container); Bundle; Materials science; Thermal energy; Convective heat transfer; Nuclear engineering; Composite material; Physics; Engineering","score_opus":0.0496786516887285,"score_gpt":0.29172370124650426,"score_spread":0.24204504955777575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133803916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213386,0.00018858134,0.0066315653,0.000019226565,0.00003104853,0.000022448954,0.00003770192,0.00010132881,0.0008341168],"genre_scores_gemma":[0.99636745,0.000046004836,0.0033470688,0.000004720893,0.0000030162523,0.0000068978075,0.000020081778,0.000014714929,0.00019002597],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994412,0.00019817185,0.000047118225,0.000091575246,0.000120797966,0.00010120209],"domain_scores_gemma":[0.9974891,0.0013245961,0.00047897184,0.00024956744,0.00033840686,0.00011929479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007161839,0.00055861357,0.00044934117,0.00041156044,0.00038831957,0.0007658668,0.00050130306,0.0005542524,0.001691382],"category_scores_gemma":[0.0033189591,0.0003674002,0.00036696665,0.00034203674,0.00041562275,0.0006578213,0.0004048076,0.0003241233,0.0002490957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056815865,0.00052069686,0.02563824,0.00092299026,0.000120965065,0.0013581474,0.0002981383,0.24731372,0.630462,0.0014460313,0.0004649557,0.08577259],"study_design_scores_gemma":[0.00018058259,0.015147554,0.047929525,0.000087706365,0.00065910583,0.0006493333,0.0007608512,0.21635456,0.71392155,0.00047664804,0.0037008272,0.00013167654],"about_ca_topic_score_codex":0.00062757824,"about_ca_topic_score_gemma":0.0007166499,"teacher_disagreement_score":0.001691382,"about_ca_system_score_codex":0.0004000924,"about_ca_system_score_gemma":0.0004621972,"threshold_uncertainty_score":0.0056582093},"labels":[],"label_agreement":null},{"id":"W3134070977","doi":"10.3390/en14051508","title":"Latent Heat Thermal Storage of Nano-Enhanced Phase Change Material Filled by Copper Foam with Linear Porosity Variation in Vertical Direction","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Porosity; Materials science; Metal foam; Phase-change material; Copper; Composite material; Latent heat; Heat transfer; Natural convection; Thermal energy storage; Porous medium; Thermal; Thermodynamics; Metallurgy","score_opus":0.02184078944979069,"score_gpt":0.26091870045459326,"score_spread":0.23907791100480258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134070977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994326,0.000073724106,0.00027017918,0.000010391436,0.000004364529,0.0000011835492,0.000024374822,0.000012279138,0.00017086463],"genre_scores_gemma":[0.9995041,0.000038308484,0.00020863856,0.000002247966,0.0000012757833,0.0000024382573,0.0000289499,0.0000035291514,0.00021058519],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999428,0.000005514889,0.0000033841525,0.000010573648,0.000015975827,0.000021803407],"domain_scores_gemma":[0.9999217,0.000025538066,0.000020342204,0.0000074718905,0.000015071382,0.000009887051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009829782,0.00015129145,0.00024299203,0.00015932276,0.00019364714,0.00018974491,0.00020253417,0.00016970419,0.0008454379],"category_scores_gemma":[0.00018117107,0.00010001592,0.00016500612,0.00017332817,0.00029775826,0.00033365423,0.00014195283,0.00016735328,0.00006867977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003394249,0.000023044247,0.0003993661,0.000086912536,0.000005691886,0.00011076261,0.00007395019,0.0010874802,0.995329,0.00016504429,0.00006272301,0.0023165639],"study_design_scores_gemma":[0.000010580403,0.00015885194,0.0015894219,0.0000050236904,0.0000072003672,0.00003232457,0.000052211395,0.011046177,0.9867841,0.000034493765,0.00027168993,0.000008021711],"about_ca_topic_score_codex":0.0011011657,"about_ca_topic_score_gemma":0.0013267518,"teacher_disagreement_score":0.0011011657,"about_ca_system_score_codex":0.0002488723,"about_ca_system_score_gemma":0.00013868068,"threshold_uncertainty_score":0.0028282404},"labels":[],"label_agreement":null},{"id":"W3134120822","doi":"10.3390/en14051387","title":"A Methodology for the Enhancement of the Energy Flexibility and Contingency Response of a Building through Predictive Control of Passive and Active Storage","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Concordia University","funders":"","keywords":"Setpoint; Thermal energy storage; Flexibility (engineering); Demand response; Peak demand; Thermal mass; Energy storage; Computer science; Load shifting; Smart grid; Automotive engineering; Reliability engineering; Energy management; Model predictive control; Simulation; Engineering; Energy (signal processing); Thermal; Electricity; Control (management); Electrical engineering; Power (physics)","score_opus":0.024924411233179938,"score_gpt":0.26721670881102877,"score_spread":0.24229229757784884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134120822","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":[0.0014906559,0.00007782651,0.99663806,0.000021199701,0.0000135167165,0.000060133247,0.00001734009,0.00014582595,0.0015354815],"genre_scores_gemma":[0.48044407,0.0004460021,0.5150899,0.00003927954,0.000036284462,0.0006655331,0.000102998754,0.00005468752,0.0031212564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997621,0.000048759088,0.00001357241,0.0000510094,0.00010329419,0.000021234011],"domain_scores_gemma":[0.9998048,0.00007463045,0.00003973445,0.000022660248,0.000050508326,0.000007670363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056785723,0.0008717751,0.0004925308,0.00046904938,0.00029351105,0.00077948085,0.00087650184,0.00049155223,0.0025134927],"category_scores_gemma":[0.0006442128,0.00030224465,0.0006841913,0.0003481642,0.0004914039,0.00046535567,0.00041640954,0.000737235,0.00027033454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036469355,0.00007216871,0.00032101345,0.00033085103,0.000050864124,0.000111728055,0.00007041683,0.81283057,0.022811137,0.047615413,0.00059880223,0.11515062],"study_design_scores_gemma":[0.0000086618475,0.00012925878,0.00015131164,0.000024223164,0.000018927245,0.00005115003,0.000009582599,0.986652,0.0049269823,0.0055194083,0.0024960637,0.000012472656],"about_ca_topic_score_codex":0.0020524578,"about_ca_topic_score_gemma":0.0019604072,"teacher_disagreement_score":0.0025134927,"about_ca_system_score_codex":0.00052389904,"about_ca_system_score_gemma":0.0009458263,"threshold_uncertainty_score":0.008408487},"labels":[],"label_agreement":null},{"id":"W3134122414","doi":"10.3390/en14051405","title":"Pore-Scale Modelling of Solvent-Based Recovery Processes","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mass transfer; Porous medium; Viscosity; Porosity; Soil vapor extraction; Petroleum engineering; Asphalt; Materials science; Steam injection; Solvent; Mechanics; Thermodynamics; Enhanced oil recovery; Phase (matter); Process engineering; Chemistry; Geology; Engineering; Composite material; Physics","score_opus":0.014007830048631357,"score_gpt":0.20366766185443522,"score_spread":0.18965983180580387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134122414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48112804,0.0013846591,0.477134,0.00039882935,0.00012575995,0.00022774392,0.0018297662,0.00089176104,0.036879476],"genre_scores_gemma":[0.97028995,0.00075333327,0.021456752,0.000032045682,0.000014114649,0.00016063094,0.00035316925,0.000056980258,0.006883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998927,0.000015443358,0.000006267161,0.000022024797,0.00003874396,0.000024807963],"domain_scores_gemma":[0.99980146,0.00010544729,0.000025088551,0.000017806826,0.000036342488,0.000013927348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012593591,0.00030736424,0.00046728327,0.0002627356,0.0002668979,0.00070533133,0.00079232093,0.0012931469,0.0014962058],"category_scores_gemma":[0.000457871,0.0002168699,0.0005594525,0.00036473727,0.00046567494,0.000675135,0.0005097798,0.0004336652,0.00029904646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017559882,0.00002471044,0.00029053926,0.000048771726,0.000006364986,0.00006469509,0.000024185745,0.9794622,0.013468311,0.004901988,0.00009258603,0.001598036],"study_design_scores_gemma":[0.0000036065046,0.000007675262,0.000120377386,0.0000020104908,0.0000018339313,0.000011305891,0.000005240887,0.99704677,0.0018320935,0.00053026475,0.00043519374,0.000003655998],"about_ca_topic_score_codex":0.0075981603,"about_ca_topic_score_gemma":0.002679233,"teacher_disagreement_score":0.0075981603,"about_ca_system_score_codex":0.00057487935,"about_ca_system_score_gemma":0.00081709656,"threshold_uncertainty_score":0.01510787},"labels":[],"label_agreement":null},{"id":"W3134257909","doi":"10.3390/en14051500","title":"Generalized Behavioral Modelling Methodology of Switch-Diode Cell for Power Loss Prediction in Electromagnetic Transient Simulation","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro","keywords":"Insulated-gate bipolar transistor; Transient (computer programming); Gallium nitride; Power semiconductor device; Diode; Electronic engineering; Power electronics; Transistor; Silicon carbide; Switching time; Materials science; Semiconductor device; MOSFET; Parasitic extraction; Power (physics); Datasheet; Bipolar junction transistor; Electrical engineering; Computer science; Voltage; Optoelectronics; Engineering; Physics","score_opus":0.05404469511694125,"score_gpt":0.28483996669958433,"score_spread":0.23079527158264307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134257909","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":[0.0148431305,0.00024543,0.975774,0.0000852666,0.00003580754,0.00006358862,0.00023369008,0.0007137021,0.008005374],"genre_scores_gemma":[0.8633666,0.0010204556,0.1204389,0.00011018251,0.000046940597,0.0006504269,0.00079739105,0.00040083373,0.013168308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998629,0.000035294437,0.0000073548385,0.000023971726,0.000051675775,0.00001870577],"domain_scores_gemma":[0.999882,0.000041459898,0.000012812615,0.000016867727,0.000040414365,0.0000065630747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002349664,0.0007050652,0.0005307164,0.00049413554,0.0003099319,0.0006290891,0.0011098847,0.0007828544,0.0031327843],"category_scores_gemma":[0.00041671906,0.0003222506,0.0009015142,0.0004066171,0.0002606885,0.0006712612,0.00034424633,0.00064772816,0.0007304839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009403774,0.000012902094,0.000276257,0.000043208503,0.0000135707305,0.00006583982,0.000032769007,0.9838532,0.004608437,0.0046446524,0.0003590441,0.0060806805],"study_design_scores_gemma":[0.0000014754578,0.0000051587067,0.00004794265,0.0000028548402,0.000003327013,0.000011301874,0.0000042110323,0.998028,0.00048551493,0.0006470807,0.0007611405,0.0000019704455],"about_ca_topic_score_codex":0.0057208864,"about_ca_topic_score_gemma":0.0043221735,"teacher_disagreement_score":0.0057208864,"about_ca_system_score_codex":0.00052150426,"about_ca_system_score_gemma":0.00066559605,"threshold_uncertainty_score":0.011375189},"labels":[],"label_agreement":null},{"id":"W3134279748","doi":"10.3390/en14051380","title":"Emerging Challenges in Smart Grid Cybersecurity Enhancement: A Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Smart grid; Computer security; Resilience (materials science); Robustness (evolution); Computer science; Power grid; Key (lock); Cyber-attack; Grid; Cyber threats; Identification (biology); Electric power system; Power (physics); Engineering; Electrical engineering","score_opus":0.04859358648434937,"score_gpt":0.30129882746947867,"score_spread":0.2527052409851293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134279748","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":[0.00024039326,0.9969733,0.00059464487,0.00042426528,0.00020444134,0.000007518951,0.000029970779,0.000012369056,0.0015130725],"genre_scores_gemma":[0.0011888298,0.9976908,0.00042017802,0.00015492375,0.00014971555,0.00000773122,0.00002989486,0.000002616427,0.00035527424],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972266,0.00004591849,0.000043226948,0.000059363978,0.00010242699,0.000026380394],"domain_scores_gemma":[0.9984492,0.0009801262,0.00015802647,0.000039079026,0.0003189143,0.000054599677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009117971,0.0010724881,0.0013073668,0.0035010406,0.00037580795,0.0014195376,0.00088373444,0.00134411,0.0042401897],"category_scores_gemma":[0.0015197304,0.00047315852,0.0006425489,0.004399578,0.00049894926,0.002463778,0.0008085357,0.0013306412,0.001549993],"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":[0.000045820474,0.00009504514,0.00034975875,0.044529658,0.000096201,0.00020788533,0.00016282177,0.0016010351,0.0016223636,0.014396503,0.02159915,0.9152939],"study_design_scores_gemma":[0.0000073123815,0.00015259924,0.0010965299,0.013192291,0.00019741294,0.0007971782,0.00024884348,0.0005242111,0.0008365669,0.0067658573,0.9761362,0.00004506534],"about_ca_topic_score_codex":0.0012410614,"about_ca_topic_score_gemma":0.0018071058,"teacher_disagreement_score":0.0042401897,"about_ca_system_score_codex":0.0005641427,"about_ca_system_score_gemma":0.0017580147,"threshold_uncertainty_score":0.014184833},"labels":[],"label_agreement":null},{"id":"W3134429213","doi":"10.3390/en14051394","title":"A Long Short-Term Memory Neural Network for the Low-Cost Prediction of Soot Concentration in a Time-Dependent Flame","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Soot; Combustion; Computational fluid dynamics; Laminar flow; Diffusion flame; Artificial neural network; Particulates; Diffusion; Fraction (chemistry); Computer science; Environmental science; Mechanics; Chemistry; Thermodynamics; Artificial intelligence; Combustor; Physics","score_opus":0.012440528409492066,"score_gpt":0.23221368058236483,"score_spread":0.21977315217287277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134429213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20663509,0.00239956,0.7833543,0.0005934934,0.00025631898,0.00006291816,0.00020851586,0.0014928478,0.0049970313],"genre_scores_gemma":[0.8672895,0.0006848615,0.12624978,0.00012910587,0.000032042914,0.00010188347,0.0003134804,0.000039036655,0.0051602176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999441,0.000009833072,0.0000036686295,0.000016354987,0.000017667722,0.000008424431],"domain_scores_gemma":[0.9998752,0.00006675452,0.00001348331,0.0000054307507,0.00003343577,0.000005622905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031164542,0.00043641304,0.00020958993,0.00019933759,0.00025016363,0.00032592952,0.00051152677,0.00064333755,0.001139133],"category_scores_gemma":[0.0007526564,0.00019115825,0.00028835726,0.00025189476,0.00018796815,0.00051167083,0.00029786048,0.000620169,0.00020718973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014028442,0.00007606734,0.0012238672,0.00007275833,0.000047911697,0.00009058117,0.000025850119,0.8432891,0.012824434,0.001785115,0.0011083265,0.13931568],"study_design_scores_gemma":[0.000001440385,0.000011270042,0.000081658756,0.0000022587167,0.0000027731862,0.000003430367,0.0000013211904,0.9985606,0.0010389354,0.00018395382,0.00011084851,0.0000015695169],"about_ca_topic_score_codex":0.010093683,"about_ca_topic_score_gemma":0.011037197,"teacher_disagreement_score":0.010093683,"about_ca_system_score_codex":0.0005882521,"about_ca_system_score_gemma":0.0007456313,"threshold_uncertainty_score":0.020069897},"labels":[],"label_agreement":null},{"id":"W3134935879","doi":"10.3390/en14051438","title":"How Much Polish Consumers Know about Alternative Fuel Vehicles? Impact of Knowledge on the Willingness to Buy","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"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":"Narodowe Centrum Nauki","keywords":"Alternative fuel vehicle; Purchasing; Quarter (Canadian coin); Automotive industry; Business; Electric vehicle; Willingness to pay; Marketing; Empirical evidence; Battery electric vehicle; Purchasing power; Environmental economics; Alternative fuels; Engineering; Power (physics); Economics; Automotive engineering","score_opus":0.008383433248210854,"score_gpt":0.2341690607116361,"score_spread":0.22578562746342523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134935879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828595,0.00008986341,0.000032075997,0.00011447083,0.0000020291686,0.0000045403676,0.00008648907,8.6193376e-7,0.0013838052],"genre_scores_gemma":[0.99933064,0.000100529694,0.000019375859,0.000035849003,0.000002085212,0.0000031112593,0.000082645936,8.926727e-7,0.00042499218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996691,0.00005918088,0.000032185842,0.000051860654,0.00009785121,0.00008992641],"domain_scores_gemma":[0.9985506,0.0005216699,0.00049949234,0.00007059718,0.00018013667,0.00017759879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006442466,0.00015882056,0.00027346995,0.0005939906,0.00034495117,0.0014616221,0.00017763196,0.00043730086,0.00639678],"category_scores_gemma":[0.0031062209,0.00020421151,0.00044254653,0.0007713344,0.0004592133,0.0010245977,0.00051674317,0.0007031183,0.0008069621],"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":[0.00023552535,0.0002582183,0.9798956,0.00005209568,0.00010158504,0.00020955273,0.0051030577,0.00008382681,0.0004511045,0.00022188424,0.00028857778,0.013099001],"study_design_scores_gemma":[0.0000069023167,0.00010361234,0.98808414,0.000020393707,0.00005040761,0.00012909023,0.010036335,0.00022216311,0.00014880928,0.00014928234,0.0010400944,0.000008754318],"about_ca_topic_score_codex":0.010296636,"about_ca_topic_score_gemma":0.008280976,"teacher_disagreement_score":0.010296636,"about_ca_system_score_codex":0.0004420263,"about_ca_system_score_gemma":0.00029090067,"threshold_uncertainty_score":0.02139932},"labels":[],"label_agreement":null},{"id":"W3135081436","doi":"10.3390/en14051383","title":"A New Modeling Approach for Low-Carbon District Energy System Planning","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Heat pump; Cost of electricity by source; Renewable energy; Photovoltaic system; Energy modeling; Electricity; Primary energy; Automotive engineering; Environmental science; Process engineering; Engineering; Electricity generation; Efficient energy use; Mechanical engineering; Electrical engineering; Power (physics)","score_opus":0.01008898866494328,"score_gpt":0.18778473299733464,"score_spread":0.17769574433239135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135081436","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":[0.0043267915,0.00016398991,0.98279977,0.00015293137,0.000048280996,0.00007802097,0.00044490397,0.00035507762,0.011630262],"genre_scores_gemma":[0.38511267,0.0008289156,0.5935895,0.0001420304,0.0000761116,0.0008121692,0.0011616226,0.00036147045,0.017915646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996395,0.00012583566,0.000017797493,0.00006086884,0.00011165478,0.00004433073],"domain_scores_gemma":[0.9996698,0.00017797157,0.000026253287,0.000027631824,0.000080644626,0.000017681956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067839277,0.0010164547,0.0009553314,0.0008175451,0.0007531881,0.0013816317,0.0018871372,0.0011024772,0.006993632],"category_scores_gemma":[0.001071696,0.0007353328,0.0013238386,0.0017539806,0.00044511637,0.001157516,0.00083283737,0.0014554973,0.00077940064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003934294,0.000006588765,0.000093790964,0.000021234258,0.000009371706,0.000016018237,0.000010090693,0.9867135,0.00014678213,0.008496702,0.00032154683,0.004160445],"study_design_scores_gemma":[0.0000023538557,0.0000031977133,0.000031830223,0.0000034157458,0.0000032858306,0.0000049344135,0.0000056341646,0.9949827,0.00008142447,0.0030544838,0.0018238024,0.000002846167],"about_ca_topic_score_codex":0.02698029,"about_ca_topic_score_gemma":0.03993877,"teacher_disagreement_score":0.02698029,"about_ca_system_score_codex":0.0016258081,"about_ca_system_score_gemma":0.0021151376,"threshold_uncertainty_score":0.053646505},"labels":[],"label_agreement":null},{"id":"W3135388229","doi":"10.3390/en14061553","title":"Simulation of Energy Exchange between Single Prosumer Residential Building and Utility Grid","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Teadmistepõhise Ehituse Tippkeskus ZEBE; European Regional Development Fund","keywords":"Prosumer; Microgrid; Photovoltaic system; Electricity; Wind power; Environmental economics; Renewable energy; Computer science; Production (economics); Energy storage; Automotive engineering; Environmental science; Reliability engineering; Engineering; Electrical engineering; Economics; Microeconomics","score_opus":0.019531568241854383,"score_gpt":0.22777938105968762,"score_spread":0.20824781281783322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135388229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9566493,0.00012497646,0.02179559,0.00020193055,0.000042551772,0.00007601887,0.0011124344,0.00027794726,0.019719386],"genre_scores_gemma":[0.9961047,0.000047433085,0.0017262629,0.000015085512,0.000002763389,0.000038013728,0.00028966062,0.000014425273,0.0017616623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998062,0.000076249555,0.000009248355,0.000023854314,0.000026293077,0.00005806915],"domain_scores_gemma":[0.9994331,0.00034559506,0.000048154678,0.000036566784,0.00007690988,0.000059666912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036291237,0.00053906895,0.00085558224,0.00041475435,0.0004916884,0.00071092474,0.00075449946,0.0010336762,0.0043666987],"category_scores_gemma":[0.0009598987,0.00028145278,0.00066112226,0.00070785376,0.000528497,0.0005988109,0.0005689467,0.0006975759,0.00026085883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057862868,0.00002471996,0.0009936213,0.000010753699,0.000008389555,0.000047038633,0.00001884919,0.9975133,0.00022986963,0.00043151004,0.000110496374,0.0005536045],"study_design_scores_gemma":[0.000013232283,0.00003103589,0.00041972677,0.0000020654977,0.0000046014293,0.000005156729,0.000037121332,0.9989335,0.000214571,0.00020582399,0.00012991313,0.0000032597234],"about_ca_topic_score_codex":0.028513314,"about_ca_topic_score_gemma":0.013577845,"teacher_disagreement_score":0.028513314,"about_ca_system_score_codex":0.00083747966,"about_ca_system_score_gemma":0.00076034304,"threshold_uncertainty_score":0.056694686},"labels":[],"label_agreement":null},{"id":"W3135469542","doi":"10.3390/en14051355","title":"A Convolutional Neural Network-Based Model for Multi-Source and Single-Source Partial Discharge Pattern Classification Using Only Single-Source Training Set","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Pattern recognition (psychology); Partial discharge; Set (abstract data type); Multi-source; Feature (linguistics); Feature extraction; Artificial neural network; Machine learning; Voltage; Engineering; Mathematics","score_opus":0.14907783860413404,"score_gpt":0.2950637495768276,"score_spread":0.1459859109726936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135469542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13665728,0.0011063903,0.85084915,0.00033987916,0.00019209612,0.00007896687,0.00049689756,0.0027860962,0.0074931686],"genre_scores_gemma":[0.89681304,0.0004765695,0.09093703,0.0001493603,0.000036825066,0.00009134958,0.00095022196,0.00006428067,0.010481327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999006,0.000007815583,0.0000044455337,0.000034971566,0.00003132748,0.00002083692],"domain_scores_gemma":[0.9998752,0.000026890797,0.000014439279,0.00001888521,0.00005689563,0.000007746374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022493672,0.00054352847,0.0003194024,0.00033302122,0.0001728474,0.000369593,0.0009768757,0.00058657414,0.0015098513],"category_scores_gemma":[0.00044145467,0.00026712677,0.00042029348,0.00031296385,0.0001878087,0.00072436244,0.00036740035,0.000716128,0.0005148366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022459378,0.00016117842,0.0026650717,0.00011226087,0.00011875557,0.00018450282,0.000032756907,0.68728626,0.043486036,0.003271183,0.003992902,0.25846455],"study_design_scores_gemma":[0.0000016653214,0.000018626462,0.000296936,0.000003925177,0.000007648201,0.000022424261,0.0000012255445,0.995826,0.0031356649,0.00025178818,0.00043076838,0.0000033459323],"about_ca_topic_score_codex":0.008461206,"about_ca_topic_score_gemma":0.012264018,"teacher_disagreement_score":0.008461206,"about_ca_system_score_codex":0.0006447398,"about_ca_system_score_gemma":0.000587527,"threshold_uncertainty_score":0.016823888},"labels":[],"label_agreement":null},{"id":"W3135544341","doi":"10.3390/en14051263","title":"SlurryNet: Predicting Critical Velocities and Frictional Pressure Drops in Oilfield Suspension Flows","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pressure drop; Support vector machine; Approximation error; Artificial neural network; Flow (mathematics); Slurry; Range (aeronautics); Suspension (topology); Multiphase flow; Computer science; Mechanics; Simulation; Artificial intelligence; Mathematics; Engineering; Algorithm; Physics","score_opus":0.005101427186180392,"score_gpt":0.19083316806100878,"score_spread":0.18573174087482838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135544341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.889736,0.000484969,0.10423496,0.00016088955,0.000075171905,0.000059333543,0.0013416001,0.002634578,0.0012724493],"genre_scores_gemma":[0.9744308,0.000106163534,0.022105226,0.000020560141,0.0000149005,0.00004071933,0.002162865,0.000038376103,0.0010803866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987125,0.000024208466,0.000010603366,0.0000406764,0.00003301073,0.000020228938],"domain_scores_gemma":[0.9996823,0.00014683041,0.000042155174,0.000025575502,0.000080813166,0.00002229497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006462501,0.0010832126,0.00062633323,0.0009571034,0.00020205775,0.00053830777,0.0008095329,0.0009175687,0.0008265648],"category_scores_gemma":[0.0013006546,0.00033382318,0.0004999881,0.00060039875,0.00023682258,0.00082752935,0.00041493052,0.0005893613,0.0002547102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034292554,0.00035926982,0.020349145,0.00012987369,0.00007888784,0.00011409162,0.000042339492,0.8853375,0.00680926,0.00038829993,0.0015110772,0.08453745],"study_design_scores_gemma":[0.0000046036835,0.000024544326,0.0016609478,0.0000022863485,0.0000030125482,0.0000035629782,0.0000062789413,0.9967481,0.0013777224,0.00006513881,0.000100486344,0.0000032451373],"about_ca_topic_score_codex":0.018344956,"about_ca_topic_score_gemma":0.016596617,"teacher_disagreement_score":0.018344956,"about_ca_system_score_codex":0.000512497,"about_ca_system_score_gemma":0.0007693076,"threshold_uncertainty_score":0.036476374},"labels":[],"label_agreement":null},{"id":"W3135781642","doi":"10.3390/en14051318","title":"Experimental Comparison of Preferential vs. Common Delta Connections for the Star-Delta Starting of Induction Motors","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Universidade da Beira Interior","keywords":"Delta; Stator; Connection (principal bundle); Amplitude; Star (game theory); Induction motor; Transient (computer programming); Physics; Control theory (sociology); Current (fluid); Computer science; Topology (electrical circuits); Mathematics; Engineering; Electrical engineering; Geometry; Astrophysics; Artificial intelligence; Voltage; Optics","score_opus":0.030758179699286892,"score_gpt":0.2754179476463315,"score_spread":0.24465976794704458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135781642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96131724,0.00047939867,0.0300452,0.000049028382,0.000117982236,0.00010221423,0.00034505466,0.00027526612,0.007268647],"genre_scores_gemma":[0.9916835,0.00017112051,0.006001593,0.000010802273,0.0000152260955,0.00005247918,0.00017908562,0.000052707695,0.001833495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987925,0.0002717636,0.000102037484,0.00020500005,0.00049452175,0.00013419495],"domain_scores_gemma":[0.9970285,0.0011798992,0.00030881033,0.00048212244,0.0008754446,0.00012525864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011725365,0.0004307244,0.0002866851,0.00072975294,0.00039188072,0.0004768553,0.00063158583,0.0005687139,0.0042200782],"category_scores_gemma":[0.003215885,0.00023322346,0.00020564867,0.000621365,0.0006309731,0.00059515936,0.00047775594,0.0005389143,0.00076213735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023460535,0.0010222401,0.0034616173,0.000701981,0.00004579176,0.00023946373,0.00081407774,0.0066042626,0.9362685,0.0023795362,0.0006658835,0.045450527],"study_design_scores_gemma":[0.00007707444,0.009269128,0.017134042,0.00007319265,0.000080689475,0.00024861624,0.0005442614,0.016329262,0.9500893,0.000908836,0.005196639,0.000049017897],"about_ca_topic_score_codex":0.00019440471,"about_ca_topic_score_gemma":0.00044835018,"teacher_disagreement_score":0.0042200782,"about_ca_system_score_codex":0.00022576132,"about_ca_system_score_gemma":0.00015008406,"threshold_uncertainty_score":0.014117539},"labels":[],"label_agreement":null},{"id":"W3135832432","doi":"10.3390/en14051339","title":"Discrete Terminal Super-Twisting Current Control of a Six-Phase Induction Motor","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","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":"École de Technologie Supérieure","funders":"Agencia Estatal de Investigación","keywords":"Control theory (sociology); Stator; Induction motor; Robustness (evolution); Cascade; Controller (irrigation); Vector control; Rotor (electric); Inductance; Engineering; Transient (computer programming); Lyapunov function; Robust control; Three-phase; Nonlinear system; Computer science; Control system; Voltage; Physics","score_opus":0.015770735743443415,"score_gpt":0.25203264922002827,"score_spread":0.23626191347658484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135832432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08969324,0.0001541502,0.90626293,0.00007198039,0.00007683756,0.000044203705,0.000023239132,0.00019435558,0.0034790882],"genre_scores_gemma":[0.96371454,0.000107789034,0.03507767,0.00001074505,0.000016522845,0.000020184798,0.000020140993,0.0000070614883,0.0010253775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998425,0.00003538009,0.000012761953,0.000023829056,0.000073741605,0.000011680475],"domain_scores_gemma":[0.9997125,0.00007344288,0.000090321046,0.00003668439,0.000069542155,0.00001742094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034935848,0.0003149525,0.0002445947,0.00017737638,0.00016260611,0.0003564121,0.0004728044,0.0001963449,0.0008012402],"category_scores_gemma":[0.0005800923,0.00009168449,0.00014835616,0.00019332005,0.00030706666,0.00025240684,0.00021220783,0.00035993336,0.00012877777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006088229,0.000116142044,0.0010589209,0.0006577718,0.000032947763,0.00041547287,0.00040208476,0.51163393,0.2765663,0.023818886,0.0009016322,0.18378708],"study_design_scores_gemma":[0.000013008718,0.0002985686,0.0003154388,0.0000058287715,0.0000058243427,0.000044472992,0.000008376078,0.9872678,0.010350635,0.0006922356,0.000992196,0.0000055896944],"about_ca_topic_score_codex":0.00053381646,"about_ca_topic_score_gemma":0.0006217293,"teacher_disagreement_score":0.0008012402,"about_ca_system_score_codex":0.00017499512,"about_ca_system_score_gemma":0.00018227742,"threshold_uncertainty_score":0.0026804209},"labels":[],"label_agreement":null},{"id":"W3136039165","doi":"10.3390/en14061723","title":"Real-Time Implementation of the Predictive-Based Control with Bacterial Foraging Optimization Technique for Power Management in Standalone Microgrid Application","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; École de Technologie Supérieure","funders":"","keywords":"Microgrid; Model predictive control; Diesel generator; Control theory (sociology); Computer science; Voltage; Heuristic; Power (physics); Engineering; Diesel fuel; Automotive engineering; Control (management); Electrical engineering","score_opus":0.0018523602072097196,"score_gpt":0.19159390840681725,"score_spread":0.18974154819960753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136039165","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":[0.096032105,0.0005209894,0.8936153,0.00015229011,0.00008240781,0.00010237641,0.00003062372,0.0012174922,0.008246529],"genre_scores_gemma":[0.9713489,0.00009802815,0.027410617,0.000023758927,0.000009300031,0.000057390684,0.000019131914,0.000017212624,0.0010157764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986315,0.000030909774,0.000006403551,0.000024205592,0.00006125636,0.0000140351995],"domain_scores_gemma":[0.9998572,0.00004891701,0.000026545116,0.000016106536,0.00004422159,0.000006953335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811634,0.0005488822,0.00038422504,0.00018448247,0.00026053298,0.00044187676,0.0005565892,0.00027433722,0.000902386],"category_scores_gemma":[0.0005647463,0.00014735207,0.00017614856,0.00019559803,0.00021821127,0.0002748016,0.00023805414,0.0003667633,0.00016133706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021575695,0.00018353101,0.0010549129,0.00022166419,0.000069597234,0.00017298822,0.00015744613,0.79806197,0.031059552,0.0039042656,0.0011004964,0.16379786],"study_design_scores_gemma":[0.000008199263,0.00009036447,0.00026732773,0.000007093502,0.000008658678,0.000021572616,0.000011015104,0.9953811,0.0033126976,0.00035065133,0.0005372497,0.0000041313574],"about_ca_topic_score_codex":0.0030718485,"about_ca_topic_score_gemma":0.0032477952,"teacher_disagreement_score":0.0030718485,"about_ca_system_score_codex":0.00022530567,"about_ca_system_score_gemma":0.00039595962,"threshold_uncertainty_score":0.0061079264},"labels":[],"label_agreement":null},{"id":"W3136648282","doi":"10.3390/en14071795","title":"Perspectives of Convertors and Communication Aspects in Automated Vehicles, Part 1: Convertors and Condition Monitoring","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"","keywords":"Converters; Automotive industry; Network topology; Radar; Electromagnetic interference; Electronic engineering; Component (thermodynamics); Engineering; Power (physics); Electrical engineering; Computer science; Telecommunications; Aerospace engineering; Computer network","score_opus":0.011265918019042543,"score_gpt":0.2624623626431168,"score_spread":0.25119644462407426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136648282","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015583372,0.86459816,0.049854446,0.0023926494,0.000829041,0.00004185199,0.00017186682,0.00016050946,0.06636811],"genre_scores_gemma":[0.098511666,0.8473453,0.023051683,0.0009300357,0.0013677877,0.000045964778,0.00041862603,0.000053102525,0.028275922],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996644,0.00006972248,0.000025130199,0.000074644384,0.00013122856,0.000034920522],"domain_scores_gemma":[0.9995091,0.00023329433,0.00004842232,0.000023745759,0.00016207223,0.00002341586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004242019,0.00064886967,0.0004148651,0.0022718604,0.00039502687,0.0018591754,0.00054327986,0.0008956015,0.00503749],"category_scores_gemma":[0.00052446907,0.00029186718,0.0002786246,0.0027915984,0.00047880292,0.003349306,0.00048696945,0.0008194095,0.0013877955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009269041,0.00012693925,0.002238474,0.0041441624,0.00003364614,0.00037696355,0.00051434844,0.0043011215,0.013976215,0.08238165,0.015255629,0.87655824],"study_design_scores_gemma":[0.0000051164193,0.00042201346,0.0029996252,0.0016138667,0.0000519205,0.0017600153,0.0014337131,0.004312122,0.010289784,0.03234091,0.9447175,0.0000533607],"about_ca_topic_score_codex":0.00078706007,"about_ca_topic_score_gemma":0.0011288605,"teacher_disagreement_score":0.00503749,"about_ca_system_score_codex":0.0005177292,"about_ca_system_score_gemma":0.0004910804,"threshold_uncertainty_score":0.01685208},"labels":[],"label_agreement":null},{"id":"W3137030327","doi":"10.3390/en14061564","title":"Development of Hankel Singular-Hypergraph Feature Extraction Technique for Acoustic Partial Discharge Pattern Classification","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"SASTRA University","keywords":"Singular value decomposition; Pattern recognition (psychology); Feature extraction; Classifier (UML); Robustness (evolution); Singular value; Hypergraph; Embedding; Artificial intelligence; Computer science; Algorithm; Mathematics; Physics","score_opus":0.023926007655534518,"score_gpt":0.2778323143009375,"score_spread":0.253906306645403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137030327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008550794,0.00015767767,0.98991233,0.000063999956,0.000023993256,0.000030801224,0.000070443144,0.000785229,0.00040473376],"genre_scores_gemma":[0.14604132,0.000336763,0.84990466,0.00007847329,0.000051653442,0.0001033091,0.0006091408,0.0001015146,0.0027731913],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996835,0.000043442713,0.000026244159,0.00008816438,0.00012837486,0.000030379051],"domain_scores_gemma":[0.9995459,0.00015003612,0.000050147893,0.0000554143,0.00017877943,0.00001969841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034395765,0.00055873924,0.00070261257,0.0015537861,0.00033970023,0.00056775793,0.00053675065,0.0006443221,0.0012358128],"category_scores_gemma":[0.000989841,0.00025056535,0.00072001043,0.0016172426,0.00029141395,0.000841276,0.00041904647,0.0007664644,0.0007346201],"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":[0.00008353226,0.00006827066,0.00085261825,0.00009435675,0.00006182156,0.000119365504,0.00009671935,0.037066393,0.06392204,0.004328454,0.0025932966,0.89071304],"study_design_scores_gemma":[0.000009447507,0.00007629146,0.0016939443,0.000010065398,0.000028017012,0.00019465417,0.000031242747,0.9659296,0.024117772,0.004113818,0.003770425,0.000024664305],"about_ca_topic_score_codex":0.0023901227,"about_ca_topic_score_gemma":0.0025675797,"teacher_disagreement_score":0.0023901227,"about_ca_system_score_codex":0.00032076705,"about_ca_system_score_gemma":0.0006112375,"threshold_uncertainty_score":0.004752457},"labels":[],"label_agreement":null},{"id":"W3137048035","doi":"10.3390/en14071809","title":"Transformer Oil Quality Assessment Using Random Forest with Feature Engineering","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Random forest; Computer science; C4.5 algorithm; Feature selection; Decision tree; Transformer; Transformer oil; Reliability engineering; Artificial intelligence; Extreme learning machine; Data mining; Machine learning; Naive Bayes classifier; Engineering; Support vector machine; Artificial neural network","score_opus":0.01298555494098939,"score_gpt":0.2414031907440282,"score_spread":0.2284176358030388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137048035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10817765,0.0002716362,0.88714254,0.000060706836,0.000036648722,0.00012588156,0.00043953772,0.0030185098,0.0007268835],"genre_scores_gemma":[0.6995369,0.00014693555,0.29828537,0.00002764125,0.000027754095,0.00014661277,0.0012333518,0.00008151533,0.00051390537],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992968,0.00016334467,0.00006090219,0.00018487129,0.00019314536,0.00010100756],"domain_scores_gemma":[0.9990395,0.0004115963,0.00010574704,0.00007904935,0.00033835953,0.000025753743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016394538,0.00089774554,0.0009688538,0.0024902378,0.00031538968,0.00057891826,0.00048576712,0.0005456039,0.0007382639],"category_scores_gemma":[0.00257496,0.00022118619,0.0013577854,0.0014875067,0.00018001444,0.0008004683,0.00037966136,0.00040631212,0.00031280305],"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":[0.00068969745,0.00031115234,0.013505319,0.0001971795,0.00017740479,0.00023637069,0.00009068341,0.37493896,0.023890534,0.0013144686,0.0020683496,0.58257985],"study_design_scores_gemma":[0.000017709348,0.00009425483,0.0028381327,0.0000073771043,0.00003527972,0.00005577319,0.000016160291,0.9912059,0.0044781016,0.00081618497,0.0004172336,0.000017917248],"about_ca_topic_score_codex":0.005663119,"about_ca_topic_score_gemma":0.004738919,"teacher_disagreement_score":0.005663119,"about_ca_system_score_codex":0.00030147453,"about_ca_system_score_gemma":0.00053490466,"threshold_uncertainty_score":0.011260331},"labels":[],"label_agreement":null},{"id":"W3137732927","doi":"10.3390/en14061656","title":"Perspectives of Convertors and Communication Aspects in Automated Vehicles, Part 2: Printed Antennas and Sensors for Automotive Radars","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"","keywords":"Automotive industry; Radar; Antenna (radio); Computer science; Systems engineering; Engineering; Telecommunications; Automotive engineering; Aerospace engineering","score_opus":0.00889635238291485,"score_gpt":0.21971708758007621,"score_spread":0.21082073519716135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137732927","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":[0.054988187,0.49880853,0.26807314,0.0049133915,0.0019325175,0.00008400147,0.0001304499,0.00042296236,0.17064685],"genre_scores_gemma":[0.41743916,0.35893482,0.0844495,0.0014992872,0.0020716798,0.00008676769,0.00022477064,0.00012798815,0.13516599],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997353,0.00006282436,0.0000120798995,0.000046022888,0.00011607852,0.000027681324],"domain_scores_gemma":[0.99965227,0.00016078998,0.000038430462,0.000032569817,0.00010448685,0.000011518281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003236302,0.00047136933,0.00030943297,0.0006681914,0.00024902992,0.0014972093,0.00052064954,0.0011562108,0.005269788],"category_scores_gemma":[0.00036141844,0.00026428446,0.00033439588,0.0010553795,0.00060651574,0.0013822003,0.0003110073,0.00080440583,0.0017525669],"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":[0.00014772378,0.00023754565,0.002180273,0.0025769516,0.00005673342,0.0007132567,0.00049387646,0.0246285,0.11138883,0.22479844,0.0139669,0.618811],"study_design_scores_gemma":[0.00001193136,0.0010018193,0.0039822706,0.0006739078,0.00007553822,0.0030579898,0.00096567004,0.032120097,0.07169025,0.06243679,0.82388526,0.000098460674],"about_ca_topic_score_codex":0.00033815703,"about_ca_topic_score_gemma":0.00046098852,"teacher_disagreement_score":0.005269788,"about_ca_system_score_codex":0.0004950775,"about_ca_system_score_gemma":0.00023480244,"threshold_uncertainty_score":0.017629206},"labels":[],"label_agreement":null},{"id":"W3137941176","doi":"10.3390/en14061619","title":"Intensifying the Charging Response of a Phase-Change Material with Twisted Fin Arrays in a Shell-And-Tube Storage System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Fin; Phase-change material; Materials science; Taguchi methods; Tube (container); Volume (thermodynamics); Shell (structure); Thermal energy storage; Energy storage; Work (physics); Thermal; Mechanics; Mechanical engineering; Engineering; Composite material; Thermodynamics; Physics","score_opus":0.047256853551329,"score_gpt":0.2711994867582686,"score_spread":0.2239426332069396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137941176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98082066,0.00013925282,0.018029502,0.000029207744,0.000028819106,0.000013815444,0.000039196784,0.00010516808,0.0007945237],"genre_scores_gemma":[0.9930225,0.000055173743,0.0063462635,0.000007963137,0.0000027585634,0.000005370189,0.000013489753,0.000004971541,0.00054160773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995744,0.000004532901,0.000002701932,0.000008451486,0.000018130653,0.0000087453245],"domain_scores_gemma":[0.9999378,0.000017487175,0.000012749544,0.000007399792,0.000018287034,0.0000063397197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009527917,0.00014776588,0.00014493769,0.00012219684,0.00012039267,0.00016033316,0.00024122128,0.00018358,0.0005024229],"category_scores_gemma":[0.00017865622,0.00007822441,0.00012732974,0.000135762,0.00018038832,0.0002895184,0.00017564271,0.0001137056,0.00009348514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010391002,0.000014406026,0.00053875096,0.0000569551,0.0000032264459,0.000120255965,0.000033727792,0.006778011,0.98464996,0.00028272273,0.000051969702,0.0073662517],"study_design_scores_gemma":[0.000009527128,0.00039040722,0.0014600729,0.0000058086403,0.000009249169,0.0001181837,0.000044286237,0.058315717,0.93826157,0.00012310357,0.0012485265,0.000013564445],"about_ca_topic_score_codex":0.0002911443,"about_ca_topic_score_gemma":0.0005924287,"teacher_disagreement_score":0.0005024229,"about_ca_system_score_codex":0.00016171257,"about_ca_system_score_gemma":0.00012546725,"threshold_uncertainty_score":0.0016807914},"labels":[],"label_agreement":null},{"id":"W3138072722","doi":"10.3390/en14061712","title":"Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Junta de Comunidades de Castilla-La Mancha","keywords":"Control theory (sociology); Permanent magnet synchronous generator; Turbine; Robustness (evolution); Wind power; Robust control; Maximum power point tracking; Grid; Induction generator; Torque; Computer science; Rotor (electric); Engineering; Power (physics); Control system; Mathematics; Magnet; Control (management); Physics","score_opus":0.015769839966711642,"score_gpt":0.1849029528569633,"score_spread":0.16913311289025165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138072722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014829357,0.00032000482,0.9819947,0.00009546433,0.00007469551,0.000023998187,0.000021455511,0.00036588137,0.0022744322],"genre_scores_gemma":[0.9673525,0.00023608422,0.030551098,0.000040643456,0.000040265906,0.00008375905,0.000052747237,0.00002900748,0.0016138353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997707,0.00005201016,0.000014954919,0.000055702792,0.000087662134,0.000018927012],"domain_scores_gemma":[0.99970466,0.0001249888,0.0000672908,0.000022918264,0.00007036107,0.00000980138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004928328,0.00064529217,0.000468308,0.0001861938,0.00019574618,0.00062521617,0.000608273,0.0005068946,0.0008106097],"category_scores_gemma":[0.00089094846,0.00017876561,0.0004181548,0.0001682228,0.00042173083,0.0003619094,0.00038215783,0.00057771854,0.000191575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075191005,0.000024424919,0.00033084012,0.00020026074,0.00005603469,0.00017880573,0.00007038158,0.9158714,0.018744789,0.010079797,0.0007676497,0.05360044],"study_design_scores_gemma":[0.0000073834412,0.000060686623,0.000111055335,0.000005372142,0.0000053413214,0.000015700516,0.0000022664472,0.99772733,0.001063351,0.00051078486,0.0004865354,0.0000040955597],"about_ca_topic_score_codex":0.0020821027,"about_ca_topic_score_gemma":0.001404928,"teacher_disagreement_score":0.0020821027,"about_ca_system_score_codex":0.00031011782,"about_ca_system_score_gemma":0.0003883529,"threshold_uncertainty_score":0.00413996},"labels":[],"label_agreement":null},{"id":"W3139023306","doi":"10.3390/en14061654","title":"A Comparative Study of Laminar-Turbulent Displacement in an Eccentric Annulus under Imposed Flow Rate and Imposed Pressure Drop Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechanics; Annulus (botany); Laminar flow; Turbulence; Eccentricity (behavior); Pressure drop; Displacement (psychology); Bingham plastic; Newtonian fluid; Eccentric; Reynolds number; Fluid dynamics; Rheology; Geology; Materials science; Engineering; Physics; Structural engineering; Thermodynamics; Composite material","score_opus":0.01366583980853031,"score_gpt":0.2723579720607258,"score_spread":0.2586921322521955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139023306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979285,0.00007259349,0.0013175311,0.00002194291,0.000010625784,0.000011539934,0.000054469914,0.000028130416,0.0005547651],"genre_scores_gemma":[0.9983866,0.00006053695,0.0010119132,0.000011228623,0.0000035090923,0.0000103779485,0.000061199105,0.000008477758,0.00044626466],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979776,0.000021884649,0.00001872097,0.00003923333,0.000071261085,0.000051145274],"domain_scores_gemma":[0.9994764,0.00024399368,0.00006566556,0.00005337478,0.000097777134,0.00006275749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002912265,0.00022726254,0.00035643147,0.00023022755,0.0003961943,0.00045374615,0.00030846157,0.00033942342,0.0011772307],"category_scores_gemma":[0.0008835416,0.00011752069,0.00015608889,0.0001848309,0.0005791881,0.00031008324,0.00036401718,0.0004563661,0.0001433521],"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":[0.0005130371,0.00022524729,0.002708323,0.00008252198,0.000008315664,0.00023261717,0.00026798618,0.0049751513,0.98548186,0.00034861307,0.000066347304,0.0050898804],"study_design_scores_gemma":[0.000059663696,0.0027009905,0.022783712,0.000018122002,0.000021476984,0.00014980896,0.00045344277,0.04192181,0.93056315,0.0001809319,0.0011003695,0.000046481204],"about_ca_topic_score_codex":0.00094914925,"about_ca_topic_score_gemma":0.0010321956,"teacher_disagreement_score":0.0011772307,"about_ca_system_score_codex":0.00024269425,"about_ca_system_score_gemma":0.00022065746,"threshold_uncertainty_score":0.003938198},"labels":[],"label_agreement":null},{"id":"W3139060058","doi":"10.3390/en14061765","title":"Two-Step Predict and Correct Non-Intrusive Parametric Model Order Reduction for Changing Well Locations Using a Machine Learning Framework","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","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":"Energi Simulation","keywords":"Computer science; Reduction (mathematics); Parametric statistics; Representation (politics); Artificial neural network; Model order reduction; Grid; Basis (linear algebra); Algorithm; Code (set theory); Artificial intelligence; Mathematical optimization; Simulation; Projection (relational algebra); Mathematics","score_opus":0.017164041401405948,"score_gpt":0.2787555187575397,"score_spread":0.26159147735613375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139060058","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":[0.007473455,0.00003862796,0.9915834,0.000060098413,0.000010890198,0.000017431803,0.00001425479,0.00032333942,0.00047849197],"genre_scores_gemma":[0.4821896,0.00012716184,0.5138333,0.00011165649,0.000047411526,0.00016196482,0.00015615328,0.0002298253,0.003143055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996892,0.000070491624,0.000014088325,0.000059291553,0.00012815699,0.000038866332],"domain_scores_gemma":[0.9993068,0.00029114573,0.000118490556,0.00011294723,0.00014043778,0.000030119476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067617494,0.00070071843,0.00078047125,0.00038208588,0.00032154506,0.0006055367,0.0010145627,0.0007667208,0.0013041687],"category_scores_gemma":[0.0019398291,0.00050172536,0.0007208391,0.0002467301,0.0005537038,0.0007801619,0.0008349554,0.001615539,0.00038000804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025635738,0.000023623617,0.00038639343,0.00003255042,0.000013539962,0.000043864835,0.000023082957,0.962248,0.0034819846,0.0037377516,0.00024552958,0.029738022],"study_design_scores_gemma":[0.0000014469096,0.0000074504146,0.000031384294,0.0000012553285,0.0000011883579,0.0000045463407,0.0000019917163,0.9985845,0.00057008694,0.0006529531,0.00014106436,0.0000020325165],"about_ca_topic_score_codex":0.0040039406,"about_ca_topic_score_gemma":0.0042426847,"teacher_disagreement_score":0.0040039406,"about_ca_system_score_codex":0.00040788777,"about_ca_system_score_gemma":0.0013475067,"threshold_uncertainty_score":0.007961273},"labels":[],"label_agreement":null},{"id":"W3139142059","doi":"10.3390/en14071805","title":"Hydrothermal Carbonization (HTC) of Seaweed (Macroalgae) for Producing Hydrochar","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrothermal carbonization; Carbon fibers; Anoxic waters; Heat of combustion; Pulp and paper industry; Raw material; Chemistry; Coal; Slurry; Biofuel; Batch reactor; Environmental chemistry; Combustion; Chemical engineering; Waste management; Carbonization; Environmental science; Materials science; Environmental engineering; Adsorption; Organic chemistry","score_opus":0.006433584904521767,"score_gpt":0.1935822488132623,"score_spread":0.18714866390874055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139142059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868456,0.0015467164,0.0094418265,0.00008147327,0.00004762207,0.00006783485,0.00017686626,0.00005695997,0.001735113],"genre_scores_gemma":[0.99013805,0.0009769202,0.007474445,0.000034652487,0.00001079849,0.000023375533,0.00012787602,0.000012374462,0.0012016112],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999249,0.0000073390106,0.000007091782,0.000018548328,0.000027931757,0.000014278383],"domain_scores_gemma":[0.9999465,0.000006958201,0.000016669823,0.0000075703488,0.000012380532,0.000009895372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009356995,0.0002600875,0.00015322963,0.00024212731,0.00018565667,0.00019132,0.000117668715,0.00019609979,0.00051401526],"category_scores_gemma":[0.000093894596,0.000096851836,0.00038219115,0.00025798133,0.0001757615,0.00020044054,0.00020980586,0.00034476968,0.00015760945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027853494,0.000023005457,0.00046631324,0.00010584498,0.000010911268,0.00008656993,0.000016498478,0.0002689158,0.99428767,0.00010808061,0.000031446438,0.0045669205],"study_design_scores_gemma":[0.0000062265485,0.00018377668,0.0045713997,0.000010242969,0.000023428374,0.00015425819,0.000042205193,0.0009756579,0.9924132,0.00005681025,0.0015544122,0.000008237862],"about_ca_topic_score_codex":0.0014220529,"about_ca_topic_score_gemma":0.005552931,"teacher_disagreement_score":0.0014220529,"about_ca_system_score_codex":0.00024455017,"about_ca_system_score_gemma":0.0002636286,"threshold_uncertainty_score":0.0028275251},"labels":[],"label_agreement":null},{"id":"W3140173155","doi":"10.3390/en14071893","title":"Analysis of Heat Exchange Rate for Low-Depth Modular Ground Heat Exchanger through Real-Scale Experiment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Natural Resources Canada","funders":"National Research Foundation of Korea","keywords":"Modular design; Heat exchanger; Drilling; Heat pump; Petroleum engineering; Environmental science; Nuclear engineering; Scale (ratio); Mechanical engineering; Engineering; Process engineering; Materials science; Computer science; Physics","score_opus":0.025387047619292422,"score_gpt":0.2749689027560325,"score_spread":0.24958185513674006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140173155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929783,0.000087654495,0.006078474,0.000016758837,0.000017790962,0.000021918557,0.00023321783,0.00011565661,0.00045031082],"genre_scores_gemma":[0.99739695,0.00004142823,0.0020393808,0.0000049665036,0.0000024355036,0.000019666033,0.00008869736,0.000011007684,0.00039553115],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999739,0.000031656444,0.000013161655,0.00007974476,0.00009193097,0.000044655644],"domain_scores_gemma":[0.9996891,0.00012122498,0.000040049206,0.00004104891,0.00009039933,0.000018121778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004766097,0.00044334354,0.00039512556,0.0003109038,0.00021922392,0.00024247247,0.00037189457,0.00039844925,0.0011761027],"category_scores_gemma":[0.00053492707,0.00014549904,0.000344497,0.00032846275,0.000281287,0.00046580675,0.00018987413,0.00037729606,0.00019383593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010852759,0.00033750403,0.019231088,0.00032004225,0.000035743986,0.00019244324,0.00030871117,0.016876739,0.935455,0.0002754793,0.00044999164,0.025431799],"study_design_scores_gemma":[0.000106271174,0.0027060257,0.071298584,0.000018143995,0.00010118963,0.00012786042,0.00039832032,0.12062761,0.802399,0.00021375784,0.0019362724,0.00006700829],"about_ca_topic_score_codex":0.00079831487,"about_ca_topic_score_gemma":0.001040264,"teacher_disagreement_score":0.0011761027,"about_ca_system_score_codex":0.00023315697,"about_ca_system_score_gemma":0.00012601809,"threshold_uncertainty_score":0.0039343834},"labels":[],"label_agreement":null},{"id":"W3141149280","doi":"10.3390/en14071850","title":"Feedback-Linearization-Based Fuel-Cell Adaptive-Control Paradigm in a Microgrid Using a Wavelet-Entrenched NeuroFuzzy Framework","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials 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":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Microgrid; Computer science; Wavelet; PID controller; Adaptive control; Control engineering; Engineering; Control (management); Artificial intelligence","score_opus":0.01746014811440307,"score_gpt":0.2534606514716257,"score_spread":0.23600050335722264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141149280","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039474666,0.0002361932,0.95428693,0.000113011265,0.000043827895,0.000045441433,0.000032628042,0.00027842543,0.005488784],"genre_scores_gemma":[0.94448036,0.00019374226,0.05331679,0.000033858294,0.000016726994,0.00006002645,0.000026669086,0.000013253057,0.0018585754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992776,0.000013553095,0.0000050333365,0.000019036035,0.000026989226,0.000007712833],"domain_scores_gemma":[0.9999411,0.000014093541,0.000009863304,0.000005690418,0.000025904688,0.0000032889109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022469793,0.00036424733,0.00022123786,0.0001279927,0.00020643488,0.00038618193,0.00048833265,0.00032222937,0.0006249987],"category_scores_gemma":[0.00021907788,0.00008682806,0.0002873983,0.00013035187,0.00028900403,0.00027002027,0.00029003058,0.00034960403,0.00013479288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001086437,0.000070876245,0.0005637708,0.00015594493,0.000055156223,0.00020174922,0.00014497954,0.82910097,0.064287186,0.01392897,0.0007363999,0.090645365],"study_design_scores_gemma":[0.0000045195093,0.000054520762,0.00012640507,0.0000045151623,0.0000076369315,0.000020824786,0.000009805379,0.9942715,0.0037759398,0.0011756589,0.00054426864,0.000004384442],"about_ca_topic_score_codex":0.0026780292,"about_ca_topic_score_gemma":0.0025452008,"teacher_disagreement_score":0.0026780292,"about_ca_system_score_codex":0.0002668295,"about_ca_system_score_gemma":0.00036544385,"threshold_uncertainty_score":0.0053249},"labels":[],"label_agreement":null},{"id":"W3144138152","doi":"10.3390/en14071866","title":"Laplacian Matrix-Based Power Flow Formulation for LVDC Grids with Radial and Meshed Configurations","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Solver; Uniqueness; Topology (electrical circuits); Convergence (economics); Computer science; Mathematical optimization; Applied mathematics; Mathematics; Engineering; Electrical engineering; Mathematical analysis","score_opus":0.004577981768488387,"score_gpt":0.2065509549604815,"score_spread":0.20197297319199312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144138152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005381364,0.00019286867,0.985154,0.0001658723,0.000038919003,0.00005273108,0.00011539075,0.00011901789,0.008779752],"genre_scores_gemma":[0.50387573,0.0011607745,0.46702236,0.00018588887,0.0001274637,0.00044371534,0.00059290795,0.0002421705,0.026349029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989986,0.000033689845,0.0000042811002,0.000016157812,0.000037686565,0.000008299818],"domain_scores_gemma":[0.9998498,0.00006814559,0.000017013132,0.0000073803317,0.00004857529,0.000008967052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030744073,0.0006347056,0.00046028724,0.00038351896,0.00025848678,0.0007445322,0.0006003939,0.00065163116,0.0054079234],"category_scores_gemma":[0.0006063892,0.0002282504,0.00049736944,0.000510085,0.00038136862,0.00058675307,0.0005329652,0.00069649116,0.0005622941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011982183,0.000014807116,0.0001768814,0.00006183481,0.000009152551,0.00009203129,0.000035714787,0.9648202,0.001462239,0.017453399,0.001467486,0.014394201],"study_design_scores_gemma":[0.0000031627574,0.0000063192715,0.000027421094,0.000003965239,0.0000016744323,0.000011294009,0.00001015967,0.996396,0.000120934004,0.0023780866,0.0010390657,0.000001947597],"about_ca_topic_score_codex":0.0054746796,"about_ca_topic_score_gemma":0.0056659738,"teacher_disagreement_score":0.0054746796,"about_ca_system_score_codex":0.0004977083,"about_ca_system_score_gemma":0.000797104,"threshold_uncertainty_score":0.018091321},"labels":[],"label_agreement":null},{"id":"W3146635754","doi":"10.3390/en14072020","title":"Experimental Investigation of the Movement of an Offshore Floating Platform in Straight Wind, Tornadic Wind, and Downburst Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University; University of Windsor","funders":"","keywords":"Tornado; Marine engineering; Meteorology; Environmental science; Submarine pipeline; Wind speed; Ballast; Offshore wind power; Wind power; Geology; Engineering; Oceanography; Geography; Electrical engineering","score_opus":0.01078453665109516,"score_gpt":0.20651439241726519,"score_spread":0.19572985576617002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146635754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986046,0.000008845487,0.00061231153,0.000009782811,0.000015152535,0.00002739688,0.00010430202,0.00000994466,0.0006076864],"genre_scores_gemma":[0.9960723,0.00003852143,0.002351588,0.000012947833,0.0000031650666,0.000059795195,0.00023520847,0.000005504214,0.001221019],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999887,0.000014041866,0.000009409649,0.000026400636,0.000023165832,0.00004005649],"domain_scores_gemma":[0.9996488,0.00010001712,0.000054073975,0.00005342952,0.000065653716,0.0000779255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017671869,0.0003851571,0.00020153959,0.00024703564,0.00032121016,0.00019035958,0.0002592556,0.00031332893,0.0020489213],"category_scores_gemma":[0.0006227588,0.00014387303,0.00020618683,0.00012473683,0.0003497387,0.00021641112,0.00048235984,0.00035996048,0.00023173788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025828541,0.0018877074,0.017374834,0.000254159,0.00004881644,0.0008813115,0.00091452745,0.022512259,0.9352949,0.0007440698,0.0005322368,0.016972348],"study_design_scores_gemma":[0.0006629964,0.073833294,0.24726573,0.00026807896,0.00017774584,0.000788324,0.0064742537,0.17981525,0.48134008,0.0012784185,0.00790407,0.00019183109],"about_ca_topic_score_codex":0.001235076,"about_ca_topic_score_gemma":0.0027965312,"teacher_disagreement_score":0.0020489213,"about_ca_system_score_codex":0.000112670416,"about_ca_system_score_gemma":0.00028549778,"threshold_uncertainty_score":0.0068542957},"labels":[],"label_agreement":null},{"id":"W3146797162","doi":"10.3390/en14072018","title":"Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Photovoltaic system; Environmental science; Evaporation; Environmental engineering; Water resources; Process engineering; Engineering; Meteorology; Electrical engineering; Geography","score_opus":0.09446361881882648,"score_gpt":0.32911539599457484,"score_spread":0.23465177717574837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146797162","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":[0.00017136414,0.9978878,0.0003678539,0.00014316071,0.00014815204,0.000009439609,0.000023787004,0.0000065491167,0.0012418901],"genre_scores_gemma":[0.0008254816,0.99797267,0.0005158669,0.000091713,0.00009464991,0.000010409321,0.00003279347,0.0000030109784,0.00045348238],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995834,0.00006216819,0.000063277475,0.0000808947,0.00017669903,0.00003358392],"domain_scores_gemma":[0.9993425,0.00038299974,0.000075319724,0.000024143987,0.00015610525,0.000019021629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081593724,0.0013015127,0.0017612928,0.0033903439,0.00038205672,0.0013032928,0.0011953561,0.0013208827,0.0047510806],"category_scores_gemma":[0.0010053115,0.00056587864,0.0012740138,0.004105938,0.0004697333,0.0017892529,0.00067659875,0.0014554773,0.0016995311],"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":[0.00007272522,0.00013568357,0.00024452384,0.06975453,0.0002040392,0.000231727,0.00010481995,0.001563323,0.003770913,0.011306589,0.019586783,0.89302444],"study_design_scores_gemma":[0.0000098891815,0.00014662389,0.0007082263,0.00878216,0.00023329958,0.0006876627,0.00008997288,0.0002847074,0.0014075147,0.002687364,0.9849282,0.00003443345],"about_ca_topic_score_codex":0.0013080069,"about_ca_topic_score_gemma":0.0019356249,"teacher_disagreement_score":0.0047510806,"about_ca_system_score_codex":0.00064141635,"about_ca_system_score_gemma":0.0011549437,"threshold_uncertainty_score":0.015893996},"labels":[],"label_agreement":null},{"id":"W3147748526","doi":"10.3390/en14071949","title":"A Hybrid Hole Transport Layer for Perovskite-Based Solar Cells","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Perovskite Materials and Applications","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":"Institut National de la Recherche Scientifique","funders":"Pan African Materials Institute; African University of Science and Technology; Arizona State University; University of Ghana; Anhui University of Science and Technology; Carnegie Corporation of New York","keywords":"Materials science; PEDOT:PSS; Chemical engineering; Tin oxide; Nickel oxide; Glovebox; Spin coating; Polystyrene sulfonate; Nickel; Thin film; Layer (electronics); Oxide; Nanotechnology; Chemistry; Organic chemistry; Metallurgy","score_opus":0.010621701190786563,"score_gpt":0.20462310200311754,"score_spread":0.19400140081233097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147748526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95628166,0.005609452,0.029162612,0.00026013318,0.00025133727,0.0000829997,0.0006705102,0.001405866,0.006275438],"genre_scores_gemma":[0.9760549,0.0019444916,0.015408195,0.00010472278,0.000045042594,0.000048152244,0.00034663465,0.00005375994,0.0059940815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993026,0.0000042710435,0.0000039204883,0.000019780658,0.000029049379,0.000012687709],"domain_scores_gemma":[0.99997306,0.000004022745,0.000005487549,0.0000031725076,0.000008482035,0.0000058059595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006976152,0.00026367087,0.0002121516,0.00014523845,0.00016952741,0.00038349754,0.0003884625,0.000278809,0.0013771049],"category_scores_gemma":[0.00006533292,0.00016340954,0.00019307008,0.00014068521,0.00006581448,0.00039595435,0.00020121165,0.00032392127,0.00052178075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019057909,0.000010727243,0.000035527155,0.00005839684,0.000006912541,0.000037741676,0.0000062690083,0.00011737336,0.99752766,0.000077213685,0.000074877054,0.0020282976],"study_design_scores_gemma":[0.00001593942,0.00011488066,0.00037747392,0.0000059417725,0.000022851551,0.00014657577,0.000010180392,0.002666613,0.991597,0.000035301015,0.0049996707,0.000007633062],"about_ca_topic_score_codex":0.0003988,"about_ca_topic_score_gemma":0.00089347415,"teacher_disagreement_score":0.0013771049,"about_ca_system_score_codex":0.00021352546,"about_ca_system_score_gemma":0.000109237,"threshold_uncertainty_score":0.0046069026},"labels":[],"label_agreement":null},{"id":"W3152427222","doi":"10.3390/en13184950","title":"Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Cegep de Sept Iles","funders":"","keywords":"Diesel generator; Distributed generation; Renewable energy; Grid; Controller (irrigation); Computer science; Generator (circuit theory); Frequency regulation; Power (physics); Automotive engineering; Control engineering; Engineering; Electric power system; Electrical engineering; Diesel fuel","score_opus":0.00533939391743008,"score_gpt":0.16075363165027295,"score_spread":0.15541423773284288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152427222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48168793,0.00050515874,0.46548626,0.00017832466,0.00033652753,0.00051998376,0.00043987823,0.0036901291,0.047155842],"genre_scores_gemma":[0.9877973,0.00005184616,0.010664131,0.000023510036,0.000010561794,0.00007304497,0.00009706222,0.000043549557,0.0012389185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996087,0.0001411354,0.000030769428,0.000087778,0.0000763239,0.000055248125],"domain_scores_gemma":[0.9996885,0.00004704564,0.000044303313,0.000106351945,0.00008521871,0.000028573506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002538256,0.0008807959,0.00049945124,0.00046197983,0.00044418345,0.0010604459,0.0008492635,0.00037710727,0.004636861],"category_scores_gemma":[0.00044679618,0.00019046654,0.00022559287,0.0002569856,0.00032928074,0.0007039765,0.0006581866,0.00045928973,0.0009260363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031197604,0.000983381,0.0088727875,0.00078697456,0.000325106,0.0014170042,0.00058655295,0.50614864,0.1348252,0.026291173,0.0068047703,0.30983862],"study_design_scores_gemma":[0.00056163786,0.0036142664,0.009352793,0.00012574646,0.00029389982,0.0012043206,0.0004509549,0.81429267,0.12575288,0.017129902,0.027091594,0.00012934781],"about_ca_topic_score_codex":0.00071814546,"about_ca_topic_score_gemma":0.0014690575,"teacher_disagreement_score":0.004636861,"about_ca_system_score_codex":0.0003734553,"about_ca_system_score_gemma":0.0002897553,"threshold_uncertainty_score":0.015511811},"labels":[],"label_agreement":null},{"id":"W3153927929","doi":"10.3390/en14082070","title":"Compositional Simulation of Geological and Engineering Controls on Gas Huff-n-Puff in Duvernay Shale Volatile Oil Reservoirs, Canada","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":12,"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":"Stuttgart Center for Simulation Science, Universität Stuttgart; National Science and Technology Major Project","keywords":"Oil shale; Petroleum engineering; Geology; Natural gas; Tight oil; Hydraulic fracturing; Shale oil; Unconventional oil; Fossil fuel; Fracture (geology); Petrology; Geotechnical engineering; Waste management; Engineering; Paleontology","score_opus":0.007376326269125983,"score_gpt":0.1949245887048665,"score_spread":0.18754826243574052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153927929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965474,0.000032231226,0.0014198225,0.00005213366,0.0000039608526,0.000016616852,0.00020792084,0.000029382403,0.0016906182],"genre_scores_gemma":[0.99882275,0.000026077272,0.00061963114,0.000007815739,5.321696e-7,0.000011016798,0.00009738238,0.000003902858,0.00041087426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998683,0.00001790785,0.0000055500063,0.000021601485,0.00002749341,0.00005909791],"domain_scores_gemma":[0.99963605,0.0001507417,0.000050168204,0.000018212293,0.00010278702,0.000041934058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003216174,0.00051387446,0.00039754304,0.0004456698,0.00067700807,0.00061317725,0.0007688965,0.0008382134,0.001094814],"category_scores_gemma":[0.00092219684,0.00025956455,0.0006443795,0.0003372866,0.0006752168,0.00033553704,0.0005926919,0.00047575927,0.000065154425],"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":[0.00006241587,0.00003298965,0.0066284775,0.000015282776,0.00000892436,0.00007680249,0.000021654234,0.9901934,0.0018026019,0.0003272495,0.000056908448,0.0007733436],"study_design_scores_gemma":[0.000013459036,0.000040037856,0.002302683,0.0000025414574,0.0000071979293,0.0000067625833,0.00005635054,0.9962075,0.0012043872,0.000058260626,0.0000947167,0.000006170576],"about_ca_topic_score_codex":0.39432698,"about_ca_topic_score_gemma":0.25509775,"teacher_disagreement_score":0.605673,"about_ca_system_score_codex":0.0037292407,"about_ca_system_score_gemma":0.0023243355,"threshold_uncertainty_score":0.78406346},"labels":[],"label_agreement":null},{"id":"W3154276208","doi":"10.3390/en14082254","title":"A Fibonacci Wavelet Method for Solving Dual-Phase-Lag Heat Transfer Model in Multi-Layer Skin Tissue during Hyperthermia Treatment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Wavelet; Fibonacci number; Algebraic equation; Applied mathematics; Mathematics; Bioheat transfer; Collocation (remote sensing); Algebraic number; Heat transfer; Thermal conduction; Mathematical analysis; Algorithm; Computer science; Materials science; Thermodynamics; Physics; Artificial intelligence; Combinatorics; Nonlinear system","score_opus":0.027213698926530392,"score_gpt":0.2789569404908467,"score_spread":0.25174324156431627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154276208","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":[0.006475414,0.00011817898,0.99265987,0.000045384382,0.000025990921,0.000013544125,0.000008543574,0.000025627483,0.0006275544],"genre_scores_gemma":[0.3495327,0.00083643314,0.6448282,0.00008975214,0.000053874937,0.00016344074,0.000078503675,0.00007121536,0.0043459265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998658,0.000050194187,0.000007788628,0.00002159212,0.000040417413,0.000014253322],"domain_scores_gemma":[0.99988294,0.00005230706,0.000013100269,0.000010631233,0.000031460157,0.0000094819825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004942914,0.00048302606,0.00036117408,0.000246127,0.0002221095,0.00038022874,0.0004890402,0.0007261159,0.0009747921],"category_scores_gemma":[0.00056058815,0.00019759343,0.00048503056,0.00030885206,0.0003380065,0.0006065311,0.00046479638,0.0007112195,0.00024542937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013033462,0.00006813515,0.0011345445,0.00033592063,0.0000467663,0.00030644066,0.00031766767,0.7373093,0.06985051,0.07453223,0.0018797895,0.11408845],"study_design_scores_gemma":[0.0000036746999,0.000024560562,0.000060152128,0.0000043199475,0.000003255138,0.000030528478,0.000012110347,0.99574333,0.001580863,0.0016664503,0.00086554245,0.000005233756],"about_ca_topic_score_codex":0.0012805107,"about_ca_topic_score_gemma":0.001159513,"teacher_disagreement_score":0.0012805107,"about_ca_system_score_codex":0.00023104182,"about_ca_system_score_gemma":0.0005052253,"threshold_uncertainty_score":0.0032610297},"labels":[],"label_agreement":null},{"id":"W3155199389","doi":"10.3390/en14092385","title":"Assessing Insider Attacks and Privacy Leakage in Managed IoT Systems for Residential Prosumers","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer security; Computer science; Smart grid; Renewable energy; Context (archaeology); Electricity; Demand response; Insider; Internet of Things; Risk analysis (engineering); Environmental economics; Business; Engineering","score_opus":0.018215778816956588,"score_gpt":0.2609693364626158,"score_spread":0.2427535576456592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155199389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7381972,0.0025251564,0.24229658,0.0013346075,0.00008426448,0.0005486592,0.0008226686,0.00059379503,0.013597043],"genre_scores_gemma":[0.9908276,0.0003038001,0.008222587,0.00005994732,0.000018025183,0.000056002253,0.00013538911,0.000014200143,0.00036240817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99275124,0.003554968,0.00045645732,0.0005961709,0.0020963922,0.00054475904],"domain_scores_gemma":[0.96584064,0.023025515,0.0043916437,0.004333493,0.0020582294,0.00035051868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055596363,0.0006826655,0.00066676934,0.0010914905,0.00074548816,0.0026264512,0.0007694751,0.0014015804,0.0016081095],"category_scores_gemma":[0.028900763,0.0002984079,0.00067354634,0.0010944642,0.001269977,0.00467128,0.002048286,0.0011002865,0.0003135486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020992183,0.0005853114,0.14720936,0.0015451971,0.0008817771,0.0019863101,0.0019047601,0.5586493,0.011884537,0.08727203,0.003943711,0.18203855],"study_design_scores_gemma":[0.00004642419,0.0009845858,0.025286254,0.00025458247,0.00025351526,0.0015815687,0.0012249479,0.90402454,0.015307543,0.047112547,0.003836333,0.000087141874],"about_ca_topic_score_codex":0.0009374682,"about_ca_topic_score_gemma":0.00056728895,"teacher_disagreement_score":0.0055596363,"about_ca_system_score_codex":0.0010726787,"about_ca_system_score_gemma":0.0009333769,"threshold_uncertainty_score":0.029402554},"labels":[],"label_agreement":null},{"id":"W3155228116","doi":"10.3390/en14082263","title":"Evaluating the Economic Viability of Agricultural Pellets to Supplement the Current Global Wood Pellets Supply for Bioenergy Production","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia","funders":"Agriculture and Agri-Food Canada","keywords":"Pellets; Tonne; Pellet; Environmental science; Bioenergy; Agricultural economics; Agriculture; Biomass (ecology); Supply chain; Production (economics); Revenue; Agricultural engineering; Natural resource economics; Business; Waste management; Biofuel; Engineering; Economics; Agronomy; Geography; Ecology","score_opus":0.025319090426922014,"score_gpt":0.2876637422165319,"score_spread":0.26234465178960986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155228116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730199,0.00032340802,0.015619713,0.000103145365,0.000021903292,0.00007663803,0.00036107792,0.000055432745,0.010418679],"genre_scores_gemma":[0.9922816,0.00020865577,0.0060171746,0.000009759043,0.0000025311645,0.000025645782,0.0002603232,0.000016172957,0.0011781544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970657,0.00009146042,0.000010615136,0.000041500247,0.000089069086,0.00006083938],"domain_scores_gemma":[0.9991868,0.0004878595,0.000073335344,0.000046981506,0.00015892563,0.000046108184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009514521,0.0007356419,0.00032383512,0.000626427,0.00031629181,0.001502086,0.0007692094,0.00075269304,0.0024866846],"category_scores_gemma":[0.0018911716,0.00033804338,0.00065682025,0.0009888856,0.0003167143,0.0018228603,0.00061575376,0.00055126956,0.00026734208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018764552,0.00009340374,0.015137939,0.00008478981,0.00005121765,0.00027293176,0.000041413994,0.9666197,0.0023572794,0.0021863577,0.00022755943,0.012739723],"study_design_scores_gemma":[0.000021981661,0.00030484988,0.008078689,0.000027494429,0.000069067355,0.000050040406,0.00036151105,0.9860118,0.002337331,0.0010056666,0.001713322,0.00001822985],"about_ca_topic_score_codex":0.023269746,"about_ca_topic_score_gemma":0.026081638,"teacher_disagreement_score":0.023269746,"about_ca_system_score_codex":0.0018097112,"about_ca_system_score_gemma":0.0015550213,"threshold_uncertainty_score":0.046268582},"labels":[],"label_agreement":null},{"id":"W3155624495","doi":"10.3390/en14082173","title":"Impact of Lorentz Force in Thermally Developed Pulsatile Micropolar Fluid Flow in a Constricted Channel","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Prandtl number; Nusselt number; Reynolds number; Mechanics; Physics; Classical mechanics; Lorentz force; Heat transfer; Turbulence; Magnetic field","score_opus":0.010155063055614375,"score_gpt":0.2250076840375446,"score_spread":0.21485262098193023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155624495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930099,0.00012486707,0.0058352854,0.00003071106,0.000009090682,0.0000053473786,0.000011756882,0.000038659557,0.0009343626],"genre_scores_gemma":[0.9993303,0.00004077352,0.0003798807,0.000003111169,0.0000022402885,0.0000022689323,0.000005030977,0.0000036672307,0.00023272843],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991226,0.000019269644,0.0000035357277,0.000016169974,0.000027020384,0.00002165165],"domain_scores_gemma":[0.9997738,0.00012825525,0.00005006962,0.000012295143,0.000022455757,0.000013190034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016380251,0.00016337994,0.00021535541,0.00020656818,0.00024259408,0.000461783,0.00013122473,0.00021323758,0.0003351555],"category_scores_gemma":[0.0005692906,0.000080894555,0.0001563351,0.0001252798,0.000725343,0.00032151927,0.0002043085,0.00016050495,0.00004742624],"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":[0.00084050046,0.00021521871,0.018577917,0.00020221571,0.000035716825,0.0011287251,0.0006932109,0.40078726,0.54661787,0.0039025987,0.00025804332,0.026740694],"study_design_scores_gemma":[0.000026688196,0.0005099417,0.022369126,0.000014583841,0.000030932137,0.0002197086,0.0003490901,0.82238376,0.15265189,0.00057043514,0.00081912393,0.000054749544],"about_ca_topic_score_codex":0.0009465953,"about_ca_topic_score_gemma":0.00052336947,"teacher_disagreement_score":0.0009465953,"about_ca_system_score_codex":0.00025963134,"about_ca_system_score_gemma":0.00023602978,"threshold_uncertainty_score":0.0018838048},"labels":[],"label_agreement":null},{"id":"W3155990133","doi":"10.3390/en14092350","title":"Identification of Stray Gassing of Dodecylbenzene in Bushings","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Dodecylbenzene; Overheating (electricity); Flammable liquid; Materials science; Forensic engineering; Environmental science; Composite material; Engineering; Electrical engineering; Waste management; Metallurgy","score_opus":0.009429265133161967,"score_gpt":0.241354560460507,"score_spread":0.23192529532734502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155990133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826247,0.00026602764,0.00086062157,0.0000070305114,0.0000032694102,0.000003706487,0.000098417935,0.000019858733,0.00047857015],"genre_scores_gemma":[0.9984812,0.00014710674,0.0007415462,0.0000059477634,0.0000016054405,0.0000024524838,0.00012101951,0.0000075957346,0.0004915755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986935,0.000013396434,0.000008466439,0.000039722996,0.000044329503,0.000024771212],"domain_scores_gemma":[0.99984574,0.000027930984,0.000043866286,0.0000140994425,0.000048254846,0.000020025365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060483733,0.00015466129,0.00011362203,0.00061330997,0.00016553499,0.00018795095,0.00012617705,0.00021889913,0.0006989007],"category_scores_gemma":[0.00017943162,0.000089964306,0.00008650938,0.00032215044,0.00018444676,0.00015464019,0.00015810647,0.00015735762,0.00017523087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008967963,0.00001392405,0.026666336,0.000040631017,0.0000075465437,0.00024093443,0.00017378069,0.000055878205,0.96904045,0.000031500178,0.000024268162,0.0036151544],"study_design_scores_gemma":[0.0000024423057,0.00042009252,0.17788425,0.000014148894,0.00001904325,0.0017516458,0.0005781379,0.0007526718,0.81700516,0.000050989067,0.0015130495,0.000008309532],"about_ca_topic_score_codex":0.0010631992,"about_ca_topic_score_gemma":0.0020674064,"teacher_disagreement_score":0.0010631992,"about_ca_system_score_codex":0.00011490312,"about_ca_system_score_gemma":0.000069589434,"threshold_uncertainty_score":0.0023380518},"labels":[],"label_agreement":null},{"id":"W3157137927","doi":"10.3390/en14092651","title":"History, Geology, In Situ Stress Pattern, Gas Content and Permeability of Coal Seam Gas Basins in Australia: A Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Coalbed methane; Coal; Structural basin; Borehole; Coal mining; Permeability (electromagnetism); Hydraulic fracturing; Natural gas; Hydrogeology; Mining engineering; Liquefied natural gas; Petroleum engineering; Paleontology; Geotechnical engineering; Engineering","score_opus":0.10080208202831392,"score_gpt":0.2871513166015869,"score_spread":0.18634923457327296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157137927","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":[0.0029434492,0.9958307,0.00018995166,0.00014069895,0.00007876593,0.0000113851065,0.00011367547,0.0000071758145,0.0006841385],"genre_scores_gemma":[0.01008187,0.98873794,0.0003507617,0.00010581217,0.00013248084,0.000014239173,0.00014639112,0.0000049426326,0.0004255435],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995408,0.00005775768,0.00012918301,0.00012329585,0.000119558856,0.00002946684],"domain_scores_gemma":[0.9980636,0.0008305025,0.0005332318,0.000043161348,0.00044905124,0.000080413614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009813542,0.00080562633,0.0014277991,0.00682786,0.00036698155,0.001529157,0.0010947072,0.0008804653,0.0017375288],"category_scores_gemma":[0.0023368539,0.0006078532,0.0010689792,0.0060714735,0.00065920077,0.0017975244,0.0006877155,0.000705609,0.00043997102],"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":[0.00010325617,0.00010497098,0.015445937,0.078277916,0.0004626839,0.0006055948,0.0014883814,0.0009743312,0.0024070402,0.0012529424,0.00861368,0.89026326],"study_design_scores_gemma":[0.0000146577295,0.0006590974,0.15867385,0.04081759,0.0022617388,0.005851234,0.0022782467,0.0011383806,0.0023702413,0.0015879868,0.7841624,0.00018443083],"about_ca_topic_score_codex":0.014493919,"about_ca_topic_score_gemma":0.020319212,"teacher_disagreement_score":0.014493919,"about_ca_system_score_codex":0.0007304905,"about_ca_system_score_gemma":0.002291315,"threshold_uncertainty_score":0.028819084},"labels":[],"label_agreement":null},{"id":"W3157237585","doi":"10.3390/en14092421","title":"Influence of Temperature and Moisture Content on Thermal Performance of Green Roof Media","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Urban Heat Island Mitigation","field":"Environmental Science","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; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Nanjing Forestry University; University of Calgary","keywords":"Green roof; Sedum; Roof; Thermal conductivity; Water content; Moisture; Materials science; Substrate (aquarium); Thermal; Composite material; Geotechnical engineering; Meteorology; Geology; Horticulture; Structural engineering","score_opus":0.008457556302949705,"score_gpt":0.18004155052764867,"score_spread":0.17158399422469897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157237585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99896514,0.0001655206,0.00033883133,0.0000059601075,0.0000058995306,0.0000047953877,0.000092655006,0.000011523939,0.00040968574],"genre_scores_gemma":[0.9987684,0.00014091593,0.0006363529,0.000007972809,0.000001938165,0.000009587803,0.00008285395,0.000009724571,0.000342232],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997943,0.00003169387,0.000017590015,0.000043385917,0.00006555909,0.000047500474],"domain_scores_gemma":[0.99963725,0.00014809311,0.00006505692,0.00003417976,0.00008124683,0.000034156135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000236098,0.00036087254,0.00030771786,0.00023159698,0.00019768502,0.00044652878,0.00021989025,0.00022984591,0.0009857472],"category_scores_gemma":[0.00051280286,0.00019281087,0.00028611225,0.0002444984,0.00024181216,0.00029211966,0.0002297874,0.00025236208,0.00021378437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040588388,0.000031747775,0.0021175449,0.000089651716,0.000016794611,0.000097198135,0.00006293822,0.0010823625,0.9932509,0.000031270476,0.000028441913,0.002785144],"study_design_scores_gemma":[0.0000041776375,0.00034032477,0.0065769516,0.000005629426,0.000018423723,0.00003321499,0.00007508608,0.0008982377,0.99180776,0.000009958085,0.00022285641,0.0000073808737],"about_ca_topic_score_codex":0.0007084423,"about_ca_topic_score_gemma":0.0015429805,"teacher_disagreement_score":0.0009857472,"about_ca_system_score_codex":0.0001607658,"about_ca_system_score_gemma":0.000101704965,"threshold_uncertainty_score":0.003297627},"labels":[],"label_agreement":null},{"id":"W3157339165","doi":"10.3390/en14092530","title":"Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; National Research Council Canada","funders":"Transport Canada","keywords":"Microgrid; Vehicle-to-grid; State of charge; Automatic frequency control; Frequency deviation; Grid; Renewable energy; Electronic stability control; Automotive engineering; MATLAB; Electric vehicle; Engineering; Computer science; Electrical engineering; Battery (electricity); Power (physics)","score_opus":0.004846798771176247,"score_gpt":0.19903604531947153,"score_spread":0.19418924654829528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157339165","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45346987,0.00019239791,0.5242145,0.00023841542,0.000108535154,0.00028073537,0.00031324566,0.0008360111,0.020346286],"genre_scores_gemma":[0.9938148,0.000016282758,0.0057163225,0.0000069980592,0.0000016006279,0.000051412884,0.000041026888,0.000006438368,0.00034500705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961424,0.00011679073,0.000016453294,0.00006383598,0.00012980145,0.000058859234],"domain_scores_gemma":[0.9992594,0.00023498913,0.00007332858,0.000094691364,0.00031038452,0.000027067661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007463639,0.0004970976,0.00045253968,0.0003146485,0.00037905198,0.0006901083,0.00069834385,0.00041474882,0.0013783147],"category_scores_gemma":[0.0015292168,0.00016284242,0.00045743975,0.00020415407,0.00035912704,0.00044217336,0.00042471493,0.00060550985,0.00019486924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000528349,0.000031092368,0.0005632214,0.000030925432,0.000010141862,0.000043275188,0.000034732217,0.99197817,0.0015894443,0.001606069,0.00014267354,0.0039173295],"study_design_scores_gemma":[0.000017304481,0.00010161527,0.0002808324,0.0000039490797,0.0000059217728,0.000006180909,0.000016505925,0.99748373,0.0015312699,0.00028829966,0.00026091846,0.0000034823993],"about_ca_topic_score_codex":0.022392364,"about_ca_topic_score_gemma":0.007758781,"teacher_disagreement_score":0.022392364,"about_ca_system_score_codex":0.00078482146,"about_ca_system_score_gemma":0.0012058762,"threshold_uncertainty_score":0.044524074},"labels":[],"label_agreement":null},{"id":"W3157713123","doi":"10.3390/en14092568","title":"A Case Study of an Industrial Power Plant under Cyberattack: Simulation and Analysis","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"SCADA; Operability; Reliability engineering; Electric power system; Reliability (semiconductor); Redundancy (engineering); Critical infrastructure; Computer security; Process (computing); Computer science; Resilience (materials science); Risk analysis (engineering); Engineering; Power (physics); Electrical engineering","score_opus":0.031872592553904296,"score_gpt":0.26669698838359535,"score_spread":0.23482439582969106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157713123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969992,0.0001703636,0.019644521,0.0003084139,0.000065649074,0.00015606807,0.00080236275,0.00026803184,0.008592561],"genre_scores_gemma":[0.989604,0.000120375116,0.007595273,0.000027937585,0.000007696886,0.000102043705,0.00038226834,0.000018895638,0.0021416813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974483,0.000079535595,0.000016393355,0.000038857746,0.000060133796,0.000060134887],"domain_scores_gemma":[0.9986689,0.00089864584,0.000072747396,0.00008390423,0.00017465044,0.0001011588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047509966,0.0007416486,0.0006812776,0.0007087529,0.0006663767,0.0008776752,0.0010661087,0.0019871197,0.004189475],"category_scores_gemma":[0.0011254926,0.0003266671,0.0009350312,0.0005672065,0.0006843915,0.00056855555,0.00077386555,0.0013938029,0.00021772142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012112962,0.00025938463,0.0070501864,0.000106565196,0.00003554591,0.0007030125,0.0001936183,0.984886,0.0015677887,0.0014392972,0.00045190522,0.0031855023],"study_design_scores_gemma":[0.000045383633,0.00014423452,0.0024865123,0.000016687683,0.00002274044,0.000064031155,0.0002890599,0.9941403,0.0012828613,0.0006087582,0.00088532374,0.000013978322],"about_ca_topic_score_codex":0.021782534,"about_ca_topic_score_gemma":0.016418334,"teacher_disagreement_score":0.021782534,"about_ca_system_score_codex":0.00059422216,"about_ca_system_score_gemma":0.0007584723,"threshold_uncertainty_score":0.043311536},"labels":[],"label_agreement":null},{"id":"W3157771581","doi":"10.3390/en14092445","title":"An Economic, Environmental and Safety Analysis of Using Hydrogen Enriched Natural Gas (HENG) in Industrial Facilities","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Natural gas; Greenhouse gas; Environmental science; Renewable natural gas; Carbon capture and storage (timeline); Carbon footprint; Industrial gas; Power to gas; Natural gas prices; Hydrogen; Return on investment; Environmental economics; Waste management; Engineering; Economics; Turbine; Fuel gas; Production (economics); Mechanical engineering; Chemistry; Microeconomics; Climate change","score_opus":0.016149683179092995,"score_gpt":0.22393479019309176,"score_spread":0.20778510701399877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157771581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869615,0.000081948,0.0043627545,0.00016595541,0.000007264218,0.00009790164,0.00025890328,0.000019294532,0.008044515],"genre_scores_gemma":[0.99765575,0.000047461795,0.0012319989,0.0000066833527,0.0000012780681,0.00001827954,0.000050690476,0.0000034988736,0.0009843536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963,0.0001468957,0.000008967663,0.000034908397,0.0000727269,0.000106545296],"domain_scores_gemma":[0.9989304,0.000720629,0.000103868835,0.000036265144,0.00016648574,0.00004238984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012375531,0.00046240163,0.000420952,0.00078157603,0.000588194,0.00086041633,0.00060436624,0.0006760268,0.0024291074],"category_scores_gemma":[0.0020447215,0.0003543132,0.00077395514,0.0005272188,0.00076374266,0.00087123195,0.0005260056,0.00060500397,0.000090862864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017112006,0.000092605806,0.0040771123,0.00004082156,0.000018184975,0.00012208192,0.00001867732,0.989829,0.0012064909,0.0022345576,0.00011989364,0.0020694358],"study_design_scores_gemma":[0.000042195137,0.00050350354,0.006479619,0.000010862765,0.000043971802,0.000026690219,0.00020688162,0.9889158,0.002412009,0.0008897572,0.0004529756,0.000015636924],"about_ca_topic_score_codex":0.049694236,"about_ca_topic_score_gemma":0.05118963,"teacher_disagreement_score":0.049694236,"about_ca_system_score_codex":0.0048552584,"about_ca_system_score_gemma":0.0018665901,"threshold_uncertainty_score":0.09880996},"labels":[],"label_agreement":null},{"id":"W3158056464","doi":"10.3390/en14092644","title":"Novel Single-Phase Grid-Tied NPC Five-Level Converter with an Inherent DC-Link Voltage Balancing Strategy for Power Quality Improvement","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Pulse-width modulation; Space vector modulation; Capacitor; Voltage; Electronic engineering; Computer science; Topology (electrical circuits); Three-phase; Grid; Control theory (sociology); Engineering; Electrical engineering; Mathematics","score_opus":0.056263914828784595,"score_gpt":0.2820074605854626,"score_spread":0.22574354575667802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158056464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049160782,0.00079275103,0.92320895,0.00016797023,0.00016016814,0.00017768065,0.0001736771,0.0013907623,0.024767313],"genre_scores_gemma":[0.8085565,0.00057544897,0.1816132,0.00016313112,0.000066738896,0.00013024814,0.00034545464,0.000057053127,0.008492197],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997652,0.000021427575,0.000018116245,0.000048288523,0.00013200776,0.00001486191],"domain_scores_gemma":[0.9999211,0.000006725586,0.0000118259795,0.000013321106,0.00003880445,0.000008184276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012687633,0.00031087123,0.00040900172,0.0003951717,0.00037815562,0.0007991448,0.0010337299,0.00047546416,0.0035414903],"category_scores_gemma":[0.00017779395,0.00013606202,0.0002684483,0.0006137309,0.00015744887,0.0006370686,0.0003370945,0.00048504065,0.0010143806],"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":[0.00023724872,0.00033743423,0.0011060877,0.0013030762,0.00010770112,0.0007956279,0.00023311679,0.041266274,0.30133834,0.028526602,0.0065459423,0.61820257],"study_design_scores_gemma":[0.00018466548,0.0009947559,0.0023593805,0.00013723382,0.0001655937,0.002396702,0.00009389967,0.7813803,0.14229342,0.009498247,0.060421392,0.00007452378],"about_ca_topic_score_codex":0.00043596062,"about_ca_topic_score_gemma":0.001101895,"teacher_disagreement_score":0.0035414903,"about_ca_system_score_codex":0.00026095685,"about_ca_system_score_gemma":0.0003200495,"threshold_uncertainty_score":0.011847496},"labels":[],"label_agreement":null},{"id":"W3158123966","doi":"10.3390/en14092551","title":"A Substitutive Coefficients Network for the Modelling of Thermal Systems: A Mono-Zone Building Case Study","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Thermal; Computation; Thermal mass; Dimensionless quantity; Heat exchanger; Computer science; Heat transfer; Energy balance; Reliability (semiconductor); Thermal energy storage; Geothermal gradient; Environmental science; Simulation; Meteorology; Mechanics; Engineering; Mechanical engineering; Thermodynamics; Algorithm; Geology; Physics","score_opus":0.025656408961438237,"score_gpt":0.22672263761925246,"score_spread":0.20106622865781423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158123966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21698132,0.00054941897,0.7572376,0.0002649768,0.000057477202,0.00025369079,0.0009483527,0.00040665868,0.023300447],"genre_scores_gemma":[0.90634507,0.00050065556,0.08504733,0.00002667044,0.000017373119,0.00035987483,0.0004294157,0.00007405574,0.007199611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999778,0.00008452198,0.000009264259,0.000039761584,0.00005902876,0.000029435994],"domain_scores_gemma":[0.99975747,0.00013265565,0.000027488737,0.000020550448,0.00004660312,0.000015200511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039488458,0.0009124042,0.00048735001,0.0006599155,0.0005055257,0.00073708146,0.0011442412,0.001074685,0.0025003466],"category_scores_gemma":[0.0006434139,0.0003828178,0.00073105947,0.0007988788,0.0005782326,0.0006300191,0.0007014033,0.0007878255,0.00036335047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015536027,0.000011020727,0.00046213582,0.000021471451,0.000005072216,0.000063598156,0.0000273399,0.9929219,0.00080505694,0.0031389175,0.00012240827,0.0024056495],"study_design_scores_gemma":[0.0000022856932,0.000011417517,0.00011914324,0.0000031513189,0.0000033968272,0.000013661631,0.000009467413,0.9983181,0.0002715581,0.00060784206,0.0006370717,0.0000030601766],"about_ca_topic_score_codex":0.02146641,"about_ca_topic_score_gemma":0.017336043,"teacher_disagreement_score":0.02146641,"about_ca_system_score_codex":0.0009061538,"about_ca_system_score_gemma":0.0009626962,"threshold_uncertainty_score":0.042682886},"labels":[],"label_agreement":null},{"id":"W3158911356","doi":"10.3390/en14092553","title":"Performance of Reconfigurable Antenna Fabricated on Flexible and Nonflexible Materials for Band Switching Applications","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"","keywords":"Bluetooth; WiMAX; Antenna (radio); Reconfigurable antenna; Substrate (aquarium); Materials science; Relative permittivity; Optoelectronics; Computer science; Electronic engineering; Electrical engineering; Permittivity; Radiation pattern; Wireless; Engineering; Telecommunications; Antenna efficiency; Dielectric","score_opus":0.02082619636854365,"score_gpt":0.24754615040386369,"score_spread":0.22671995403532003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158911356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901799,0.00019774974,0.00701582,0.000042648633,0.00004770866,0.000006391943,0.00003718511,0.000100986625,0.002371611],"genre_scores_gemma":[0.9962048,0.000094293115,0.002708205,0.000018128467,0.00000646028,0.000005456411,0.000038079015,0.0000140485145,0.0009106729],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998727,0.00001582849,0.000009896906,0.000033174976,0.00003745869,0.000031032025],"domain_scores_gemma":[0.9997321,0.00007271956,0.00008050987,0.000055308512,0.000036587073,0.000022676606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013399706,0.00031769412,0.00017721088,0.00020324007,0.00006862544,0.0002888465,0.00030265754,0.00037733652,0.00092929864],"category_scores_gemma":[0.00032128062,0.00013353673,0.00027706643,0.00022598726,0.00016381108,0.00022618473,0.00015781187,0.00018881456,0.00026684374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026935156,0.00002715069,0.000638079,0.000055800738,0.000016570157,0.00018818512,0.000056759476,0.0015512502,0.98838615,0.0002325745,0.00012757407,0.008450486],"study_design_scores_gemma":[0.00004168055,0.0010449674,0.009203947,0.000012331419,0.000048815964,0.00051177404,0.00008352865,0.010143246,0.97629297,0.000087282766,0.0025063423,0.000023199249],"about_ca_topic_score_codex":0.00008743794,"about_ca_topic_score_gemma":0.00009383819,"teacher_disagreement_score":0.00092929864,"about_ca_system_score_codex":0.00014120855,"about_ca_system_score_gemma":0.000053223786,"threshold_uncertainty_score":0.0031087995},"labels":[],"label_agreement":null},{"id":"W3159089916","doi":"10.3390/en14092603","title":"De-Risking Wood-Based Bioenergy Development in Remote and Indigenous Communities in Canada","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","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":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Indigenous Services Canada","keywords":"Bioenergy; Business; Natural resource economics; Biomass (ecology); Supply chain; Greenhouse gas; Environmental resource management; Indigenous; Context (archaeology); Environmental planning; Environmental science; Agroforestry; Environmental protection; Renewable energy; Geography; Ecology; Economics","score_opus":0.008558501421966278,"score_gpt":0.18088569925860234,"score_spread":0.17232719783663608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159089916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98948413,0.0003977453,0.00025394815,0.0013197932,0.000012891765,0.000072792755,0.00008760675,0.000007611955,0.008363446],"genre_scores_gemma":[0.9968646,0.00040901947,0.0004455038,0.0002271402,0.0000019380568,0.000015424013,0.00005598775,0.000003885175,0.0019764171],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982199,0.00021480885,0.00003356758,0.0001157105,0.00046104175,0.0009550616],"domain_scores_gemma":[0.9972817,0.00023573134,0.00021432736,0.000055272118,0.00088923314,0.0013236533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226097,0.00031617182,0.0003071328,0.00092741684,0.012964332,0.0028340952,0.0013308426,0.0005009414,0.0020816876],"category_scores_gemma":[0.0023739936,0.00020297787,0.00033129126,0.0014857259,0.0024585146,0.00074637175,0.0034223122,0.0009864767,0.000080039754],"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":[0.00034952143,0.0006506045,0.5470576,0.0007219018,0.00018102802,0.0062829684,0.24589592,0.0025701693,0.007421448,0.010832365,0.008062003,0.1699745],"study_design_scores_gemma":[0.000023343739,0.00015048288,0.39653972,0.00039134364,0.00007601356,0.00041677567,0.5625764,0.0018618468,0.0009912908,0.0013525493,0.035527218,0.00009306211],"about_ca_topic_score_codex":0.9927192,"about_ca_topic_score_gemma":0.9984378,"teacher_disagreement_score":0.057009764,"about_ca_system_score_codex":0.057009764,"about_ca_system_score_gemma":0.132724,"threshold_uncertainty_score":0.41363674},"labels":[],"label_agreement":null},{"id":"W3159125202","doi":"10.3390/en14092410","title":"Numerical Simulation of the Thermally Developed Pulsatile Flow of a Hybrid Nanofluid in a Constricted Channel","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Nanofluid; Mechanics; Nusselt number; Laminar flow; Heat transfer; Materials science; Streamlines, streaklines, and pathlines; Thermodynamics; Reynolds number; Physics; Turbulence","score_opus":0.011168656848129352,"score_gpt":0.20708818364178788,"score_spread":0.19591952679365854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159125202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95572656,0.00025673778,0.035602972,0.0002856509,0.00007380437,0.000060341554,0.00032305732,0.00023806807,0.0074328026],"genre_scores_gemma":[0.9919499,0.000089383626,0.006190803,0.00002139423,0.00000639909,0.00005936724,0.00009371228,0.000011772748,0.00157738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999249,0.000011664106,0.0000044671806,0.000013069086,0.000023240487,0.000022738328],"domain_scores_gemma":[0.99972457,0.00015146477,0.000042659743,0.000016088943,0.0000423711,0.000022761824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020863468,0.00029455248,0.000503025,0.00033238428,0.0006134643,0.00052153686,0.00046387463,0.00089613075,0.0010181881],"category_scores_gemma":[0.0005176453,0.00018881581,0.00037714557,0.0003904968,0.0006598391,0.00035904918,0.00032980667,0.0003948985,0.00006606588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010939337,0.000064773936,0.0017212635,0.00008048756,0.000015026756,0.00018638402,0.00011739016,0.97719884,0.01563775,0.0020145385,0.00021598645,0.0026380904],"study_design_scores_gemma":[0.000007648862,0.000032186585,0.00030384134,0.000002663245,0.0000024966455,0.000008799976,0.000018628129,0.9978498,0.0015601345,0.000098084034,0.00011049108,0.0000052426076],"about_ca_topic_score_codex":0.0062375334,"about_ca_topic_score_gemma":0.0029488504,"teacher_disagreement_score":0.0062375334,"about_ca_system_score_codex":0.0005757841,"about_ca_system_score_gemma":0.0006805836,"threshold_uncertainty_score":0.012402475},"labels":[],"label_agreement":null},{"id":"W3159355787","doi":"10.3390/en14092450","title":"Hydrogen Purification Performance Optimization of Vacuum Pressure Swing Adsorption on Different Activated Carbons","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Wuhan University of Technology; Wuhan University; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Hydrogen; Adsorption; Pressure swing adsorption; Hydrogen purifier; Chemistry; Hydrogen production; Chromatography; Activated carbon; Materials science; Chemical engineering; Organic chemistry; Engineering","score_opus":0.007854910570912907,"score_gpt":0.183676526696805,"score_spread":0.1758216161258921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159355787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929213,0.000560444,0.005065817,0.00003694552,0.000012983589,0.000013267297,0.00007534909,0.00007036313,0.0012434244],"genre_scores_gemma":[0.99411964,0.000400527,0.0047613317,0.00001555315,0.000002874778,0.00001578356,0.000088545894,0.000012067136,0.00058380776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980265,0.000021089201,0.000013457731,0.000036878777,0.00009568291,0.000030210327],"domain_scores_gemma":[0.9999255,0.000021374062,0.000011393284,0.000006135194,0.000028955064,0.0000065389568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022820642,0.00030874225,0.00031393114,0.00030339308,0.00022247448,0.00031876657,0.00033509417,0.00034386915,0.0005002267],"category_scores_gemma":[0.0003306214,0.00016871147,0.00046859556,0.0004471564,0.0001418316,0.00035775255,0.00022027176,0.00028348333,0.0001118481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024868187,0.00012454277,0.0011087563,0.00034929946,0.00003776228,0.00011115899,0.000039000235,0.02347354,0.9545366,0.00038828302,0.00019179573,0.019390624],"study_design_scores_gemma":[0.000015395268,0.00036640416,0.00291051,0.0000076519,0.000030872674,0.00003913413,0.000035196623,0.09588693,0.8996196,0.000091973234,0.0009807775,0.00001554263],"about_ca_topic_score_codex":0.002694018,"about_ca_topic_score_gemma":0.00367047,"teacher_disagreement_score":0.002694018,"about_ca_system_score_codex":0.00041180255,"about_ca_system_score_gemma":0.00024307589,"threshold_uncertainty_score":0.0053566694},"labels":[],"label_agreement":null},{"id":"W3159539311","doi":"10.3390/en14092643","title":"Design and Simulation Studies of Hybrid Power Systems Based on Photovoltaic, Wind, Electrolyzer, and PEM Fuel Cells","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hydro-Québec","funders":"","keywords":"Photovoltaic system; Renewable energy; Wind power; Automotive engineering; Stack (abstract data type); Regenerative fuel cell; Electricity generation; Stand-alone power system; Proton exchange membrane fuel cell; Distributed generation; Electricity; Environmental science; Electric power system; Electrical engineering; Process engineering; Engineering; Power (physics); Fuel cells; Computer science; Physics","score_opus":0.011827419427791143,"score_gpt":0.21546370201123785,"score_spread":0.2036362825834467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159539311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8616715,0.00087739393,0.080525674,0.00044845624,0.000091880276,0.0002303822,0.0005930387,0.0003690431,0.055192716],"genre_scores_gemma":[0.9921079,0.00021924244,0.0039674095,0.00001941222,0.0000062755475,0.0001020214,0.0000908547,0.000013804343,0.0034730604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998166,0.00006095224,0.000008829758,0.000024516841,0.00004528627,0.00004381868],"domain_scores_gemma":[0.9996635,0.00017050817,0.000040661587,0.000015092558,0.000087782726,0.000022514045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038667227,0.00052095926,0.00061718654,0.00050343777,0.00059045036,0.0008331807,0.00059100887,0.000738939,0.002959585],"category_scores_gemma":[0.00062279176,0.00037719807,0.0007924425,0.00043241892,0.00042687837,0.0005122457,0.0003715956,0.0004373588,0.00021993533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047320136,0.000027207769,0.001181726,0.000046152436,0.000017230008,0.00008695392,0.000039791576,0.9949647,0.00082161644,0.00071618723,0.00016234707,0.0018887584],"study_design_scores_gemma":[0.000012938254,0.000067473426,0.0005931937,0.0000067126493,0.000012191165,0.0000127237645,0.000048697508,0.99817955,0.0004217186,0.00020911735,0.00043121862,0.000004472979],"about_ca_topic_score_codex":0.013308326,"about_ca_topic_score_gemma":0.009503085,"teacher_disagreement_score":0.013308326,"about_ca_system_score_codex":0.0007576318,"about_ca_system_score_gemma":0.0005535244,"threshold_uncertainty_score":0.02646172},"labels":[],"label_agreement":null},{"id":"W3159615113","doi":"10.3390/en14092673","title":"The Economic Performance of Hydropower Dams Supported by the World Bank Group, 1975–2015","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hydropower; Portfolio; Renewable energy; Cost overrun; Business; Electricity generation; Small hydro; Natural resource economics; Environmental economics; Environmental resource management; Engineering; Finance; Economics; Power (physics)","score_opus":0.011084467454342127,"score_gpt":0.34246019646208226,"score_spread":0.33137572900774015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159615113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472381,0.0017456642,0.00090378535,0.0010559853,0.000091079775,0.00004911244,0.012296457,0.00008983668,0.036529806],"genre_scores_gemma":[0.9845137,0.0010889099,0.00041930843,0.000044372286,0.000034938883,0.000033338183,0.0062115914,0.000015629616,0.0076381913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893576,0.00016936488,0.000080347905,0.00007904175,0.0005746148,0.00016089203],"domain_scores_gemma":[0.9967886,0.00044217624,0.0011249796,0.0001119128,0.0012121731,0.00032020544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015232372,0.0002482365,0.00014463533,0.0022060375,0.00031942368,0.0013279844,0.00029659376,0.00021085331,0.0021552632],"category_scores_gemma":[0.0058619976,0.00016995844,0.00022228852,0.0034111817,0.00041752984,0.00087043206,0.0008613803,0.0004493572,0.00062510057],"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":[0.000789758,0.00019079317,0.7615904,0.00035102645,0.0003453698,0.0005712431,0.0009785558,0.01766635,0.0017155461,0.018439496,0.060017597,0.13734388],"study_design_scores_gemma":[0.00002427236,0.00019636225,0.9288714,0.00009134158,0.00010987153,0.00021867552,0.0012710242,0.0065083606,0.0020223986,0.0010957922,0.059540737,0.000049687704],"about_ca_topic_score_codex":0.020155208,"about_ca_topic_score_gemma":0.025146728,"teacher_disagreement_score":0.020155208,"about_ca_system_score_codex":0.0024668197,"about_ca_system_score_gemma":0.0023788582,"threshold_uncertainty_score":0.04007584},"labels":[],"label_agreement":null},{"id":"W3159790404","doi":"10.3390/en14092497","title":"Validation Process for Rooftop Wind Regime CFD Model in Complex Urban Environment Using an Experimental Measurement Campaign","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computational fluid dynamics; Wind speed; Standard deviation; Meteorology; Environmental science; Computer simulation; Marine engineering; Numerical weather prediction; Computer science; Simulation; Engineering; Aerospace engineering; Mathematics; Physics","score_opus":0.0953946704468264,"score_gpt":0.2858200166539904,"score_spread":0.19042534620716403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159790404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8275003,0.000115023395,0.16621093,0.00007374152,0.00006042376,0.00031025146,0.0009654649,0.001066281,0.003697497],"genre_scores_gemma":[0.96102166,0.00009660174,0.036905568,0.000021542184,0.0000047789435,0.0002378601,0.00091386493,0.000046364123,0.0007517613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911124,0.0001575947,0.000054283748,0.00014109032,0.0004165522,0.00011924177],"domain_scores_gemma":[0.99909484,0.00022147415,0.00007477808,0.00021979591,0.0003472773,0.000041761657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014509376,0.0007228774,0.00051214756,0.00053322606,0.00083564507,0.0007908477,0.00084054685,0.000877758,0.0010305273],"category_scores_gemma":[0.0017290786,0.00024488056,0.0006464032,0.0004949985,0.0004717894,0.00056175975,0.00065202743,0.00055501447,0.0004276618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003655615,0.00088867836,0.05114279,0.00032431737,0.000068000714,0.0007404301,0.0006170922,0.7027281,0.16601183,0.0016834207,0.0015793182,0.073850505],"study_design_scores_gemma":[0.000049155427,0.00047746854,0.021593364,0.000054335844,0.000029238312,0.000096217795,0.00041448403,0.89221215,0.082025476,0.0004206506,0.0025689222,0.00005849104],"about_ca_topic_score_codex":0.008547636,"about_ca_topic_score_gemma":0.009815423,"teacher_disagreement_score":0.008547636,"about_ca_system_score_codex":0.0005162179,"about_ca_system_score_gemma":0.0009591586,"threshold_uncertainty_score":0.016995788},"labels":[],"label_agreement":null},{"id":"W3159816247","doi":"10.3390/en14092515","title":"SWIPT-Assisted Energy Efficiency Optimization in 5G/B5G Cooperative IoT Network","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Relay; Computer science; Node (physics); Wireless; Throughput; Maximization; Optimization problem; Computer network; Maximum power transfer theorem; Efficient energy use; Energy harvesting; Energy (signal processing); Wireless network; Mathematical optimization; Power (physics); Telecommunications; Electrical engineering; Engineering; Algorithm; Mathematics","score_opus":0.007614601068076479,"score_gpt":0.1958088214906282,"score_spread":0.1881942204225517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159816247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04542588,0.0011803766,0.941349,0.00044828004,0.000088375215,0.000054563454,0.00010221949,0.0001483873,0.011202877],"genre_scores_gemma":[0.94878453,0.0009196175,0.04579087,0.00018040977,0.000046079374,0.00013753586,0.000103070524,0.000035505826,0.004002415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996031,0.00014982522,0.000012841172,0.000068242975,0.000087650944,0.000078328594],"domain_scores_gemma":[0.99954563,0.00028476192,0.000055306158,0.000018058488,0.00007253804,0.000023723675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078624184,0.0007571046,0.0009286206,0.00037494802,0.0003902938,0.0010334821,0.00077070505,0.0008627529,0.0009873648],"category_scores_gemma":[0.0012067098,0.0003153512,0.00051339366,0.0008543004,0.0006375949,0.00072447874,0.00085440016,0.0006660837,0.00017416745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046378897,0.0000291905,0.00030700993,0.00006832721,0.000024657169,0.00013737616,0.00005575779,0.9753209,0.0015682665,0.010202604,0.0009717541,0.011267907],"study_design_scores_gemma":[0.0000035805647,0.000020071142,0.000053777796,0.0000042720685,0.000005332559,0.000018028084,0.000015575662,0.9964743,0.00015844175,0.0029997062,0.0002440304,0.000002820048],"about_ca_topic_score_codex":0.003947195,"about_ca_topic_score_gemma":0.0031579472,"teacher_disagreement_score":0.003947195,"about_ca_system_score_codex":0.00090518215,"about_ca_system_score_gemma":0.0009732206,"threshold_uncertainty_score":0.007848442},"labels":[],"label_agreement":null},{"id":"W3159862317","doi":"10.3390/en14092650","title":"Novel Five-Level ANPC Bidirectional Converter for Power Quality Enhancement during G2V/V2G Operation of Cascaded EV Charger","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Capacitor; Topology (electrical circuits); Electric vehicle; Grid; Voltage; Galvanic isolation; Computer science; Transformer; Electronic engineering; Power (physics); Electrical engineering; Engineering; Physics; Mathematics","score_opus":0.02875452346736888,"score_gpt":0.26641933778391336,"score_spread":0.2376648143165445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159862317","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.459338,0.0010108099,0.490167,0.00019761978,0.00016452241,0.0002884406,0.0002836491,0.002434954,0.04611504],"genre_scores_gemma":[0.98217976,0.00013344361,0.014954129,0.000027052656,0.0000133379535,0.0000286644,0.00007915341,0.000024789993,0.002559659],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986863,0.000012805151,0.000006413952,0.000023048502,0.000071463306,0.00001754664],"domain_scores_gemma":[0.9999262,0.0000063979605,0.0000093756025,0.000011869993,0.000037607635,0.000008601584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010770033,0.0002900784,0.00022674893,0.00034518278,0.00032639783,0.00044716772,0.0005947571,0.0002336,0.0026239369],"category_scores_gemma":[0.000107021275,0.000095803756,0.00016630355,0.00029385093,0.00010661161,0.00033816168,0.00024695112,0.0003313898,0.00050056627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053408445,0.000233064,0.001945796,0.0005551794,0.00004926036,0.00055289443,0.00033514458,0.012026222,0.675386,0.007650848,0.0032754694,0.2974559],"study_design_scores_gemma":[0.0002038967,0.0011938583,0.007375598,0.00012003948,0.0001138671,0.0019286656,0.00022373542,0.31836283,0.61536115,0.0030918643,0.051947653,0.000076837794],"about_ca_topic_score_codex":0.001078789,"about_ca_topic_score_gemma":0.00202864,"teacher_disagreement_score":0.0026239369,"about_ca_system_score_codex":0.0002303189,"about_ca_system_score_gemma":0.00024153359,"threshold_uncertainty_score":0.008777976},"labels":[],"label_agreement":null},{"id":"W3159969795","doi":"10.3390/en14092454","title":"Wind Farm Location Special Optimization Based on Grid GIS and Choquet Fuzzy Integral Method in Dalian City, China","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Fuzzy logic; Grid; Multiple-criteria decision analysis; Measure (data warehouse); Choquet integral; Computer science; Mathematical optimization; Fuzzy set; Geographic information system; Data mining; Operations research; Mathematics; Geography; Remote sensing; Artificial intelligence","score_opus":0.013005635535789206,"score_gpt":0.25863449844181285,"score_spread":0.24562886290602365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159969795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313152,0.00020186356,0.06404767,0.00016283507,0.000018715542,0.00006193845,0.00015814563,0.00010147521,0.0039321957],"genre_scores_gemma":[0.9913795,0.000081442624,0.007515386,0.000006230304,0.000003283487,0.000026196536,0.00009342503,0.000007115142,0.0008874547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996873,0.00008685399,0.000021838829,0.000076587436,0.000069247624,0.000058172758],"domain_scores_gemma":[0.99979097,0.00006839498,0.00003317581,0.0000123352165,0.00007308392,0.000022179285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005826204,0.0005682763,0.0005246791,0.0012413894,0.00058463763,0.0011061429,0.00057239545,0.00036722072,0.0007258401],"category_scores_gemma":[0.0008746744,0.0002960463,0.000602062,0.0014949149,0.00039718414,0.0006297568,0.00054593943,0.00018003075,0.000041849038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012883655,0.00007787438,0.029892314,0.000112163274,0.00008872727,0.00035058416,0.00020742352,0.9240408,0.0023610487,0.0035631838,0.00074625376,0.038430646],"study_design_scores_gemma":[0.000008159247,0.000016691118,0.007624424,0.000003161441,0.000019563851,0.00001355173,0.00016314044,0.99087477,0.00037247667,0.0006731113,0.00022071217,0.000010337081],"about_ca_topic_score_codex":0.098527655,"about_ca_topic_score_gemma":0.07450653,"teacher_disagreement_score":0.098527655,"about_ca_system_score_codex":0.0019759012,"about_ca_system_score_gemma":0.0017596419,"threshold_uncertainty_score":0.19590837},"labels":[],"label_agreement":null},{"id":"W3160287023","doi":"10.3390/en14102851","title":"Using Thermal Energy Storage to Relieve Wind Generation Curtailment in an Island Microgrid","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Microgrid; Wind power; Intermittency; Thermal energy storage; Flexibility (engineering); Distributed generation; Energy storage; Grid; Automotive engineering; Electricity generation; Reliability engineering; Engineering; Environmental science; Computer science; Power (physics); Renewable energy; Electrical engineering; Meteorology","score_opus":0.01390449620848058,"score_gpt":0.21634482716703332,"score_spread":0.20244033095855274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160287023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4588716,0.00068488537,0.52978945,0.0002809254,0.00005673201,0.00008278211,0.000095748735,0.00068636937,0.00945159],"genre_scores_gemma":[0.9933309,0.000060036848,0.0062391968,0.0000075028565,0.000003097072,0.000010530672,0.000008479946,0.0000057121956,0.00033451855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999331,0.000024725845,0.0000044961525,0.000013028301,0.000012434692,0.000012232514],"domain_scores_gemma":[0.9999311,0.000021684767,0.000016085072,0.0000106721345,0.000013148677,0.0000072834155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020476193,0.00045698037,0.00041822658,0.00017059538,0.00026616303,0.00037524517,0.00040327254,0.00024393701,0.00072209554],"category_scores_gemma":[0.00026256882,0.00018851952,0.00022542388,0.00021126906,0.00026418042,0.00047919582,0.00032054633,0.00021509948,0.00006962899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010277513,0.000033702476,0.0010003294,0.000058419995,0.000036003737,0.00012824722,0.00003526513,0.96083355,0.008693806,0.0020508424,0.00038350513,0.026643578],"study_design_scores_gemma":[0.0000060258117,0.000041054416,0.00020596564,0.0000036005692,0.000010436123,0.000017402857,0.00002225314,0.99736327,0.0014262423,0.00070018,0.00019904134,0.0000045094716],"about_ca_topic_score_codex":0.003343644,"about_ca_topic_score_gemma":0.0056721615,"teacher_disagreement_score":0.003343644,"about_ca_system_score_codex":0.0003134281,"about_ca_system_score_gemma":0.00042991174,"threshold_uncertainty_score":0.0066483617},"labels":[],"label_agreement":null},{"id":"W3160359874","doi":"10.3390/en14102969","title":"A Mobile Energy Storage Unit Serving Multiple EV Charging Stations","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"American University of Sharjah","keywords":"Energy storage; Unit (ring theory); Grid; Integer programming; Linear programming; Automotive engineering; Computer science; Power (physics); Electric power system; Electrical engineering; Reliability engineering; Engineering","score_opus":0.006181646844175825,"score_gpt":0.19524017646746616,"score_spread":0.18905852962329034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160359874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80829185,0.0005473986,0.17493817,0.00051538495,0.00023047617,0.00023644452,0.00031219324,0.0011773193,0.01375075],"genre_scores_gemma":[0.99043137,0.000044863824,0.006605274,0.00002042475,0.000013762732,0.00003620648,0.00003631676,0.0000040125356,0.0028077073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998559,0.000031324227,0.0000111377885,0.00004345526,0.000028139626,0.000030078081],"domain_scores_gemma":[0.9998939,0.000020768379,0.000016367334,0.000013755392,0.000026578642,0.000028695638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015180038,0.0005270811,0.0005959009,0.00029680115,0.00064005674,0.0006357242,0.0010420509,0.00070158514,0.0031027324],"category_scores_gemma":[0.00014346998,0.00017474333,0.00039360407,0.00037877331,0.00030264488,0.0005015946,0.0006390882,0.00031210567,0.00047126622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024939373,0.00040830395,0.009792168,0.0005025926,0.00014888565,0.0048387754,0.00028392067,0.7431158,0.09312646,0.009021944,0.0050061005,0.13126116],"study_design_scores_gemma":[0.00010894249,0.00081175467,0.0011883065,0.000012855827,0.000055998837,0.00048204203,0.0001282857,0.9798222,0.013181483,0.0010320151,0.0031442626,0.00003193101],"about_ca_topic_score_codex":0.0026089374,"about_ca_topic_score_gemma":0.0026929074,"teacher_disagreement_score":0.0031027324,"about_ca_system_score_codex":0.000478313,"about_ca_system_score_gemma":0.0005888012,"threshold_uncertainty_score":0.010379612},"labels":[],"label_agreement":null},{"id":"W3162961823","doi":"10.3390/en14102936","title":"A Finite-Time Robust Distributed Cooperative Secondary Control Protocol for Droop-Based Islanded AC Microgrids","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Voltage droop; Microgrid; Correctness; Computer science; Protocol (science); Distributed generation; Control theory (sociology); MATLAB; Control (management); Engineering; Voltage; Electrical engineering","score_opus":0.0077483096213642605,"score_gpt":0.2114209885066619,"score_spread":0.20367267888529766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162961823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011629306,0.00010027359,0.9859444,0.00007867,0.000056293673,0.000054150627,0.000015400861,0.0002532427,0.0018683188],"genre_scores_gemma":[0.9365524,0.00013702245,0.061081402,0.00007161727,0.00003290631,0.0001785769,0.000061375744,0.000027231865,0.0018574629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946135,0.0001121904,0.00003889447,0.00016372296,0.00018082617,0.000043036373],"domain_scores_gemma":[0.99928015,0.00023038949,0.00012556389,0.00010189248,0.00022395396,0.000038077418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007545071,0.00062473846,0.00048557983,0.00030868867,0.00041587694,0.0006753735,0.0013291701,0.00048522124,0.0012354361],"category_scores_gemma":[0.0015432913,0.0001527676,0.0003795506,0.0002375945,0.00079096755,0.00076876493,0.0010552232,0.00082191906,0.00019585351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019629791,0.00009861259,0.00036084987,0.00027720036,0.00008479544,0.00037170085,0.00035911618,0.8248095,0.03875074,0.042179834,0.0016548184,0.09085655],"study_design_scores_gemma":[0.000020417712,0.00017673959,0.000069877504,0.000008029725,0.000014575928,0.00006967308,0.00002372244,0.989518,0.004541406,0.004072412,0.0014744005,0.000010677114],"about_ca_topic_score_codex":0.0012204121,"about_ca_topic_score_gemma":0.0010968461,"teacher_disagreement_score":0.0013291701,"about_ca_system_score_codex":0.00040191243,"about_ca_system_score_gemma":0.00074691995,"threshold_uncertainty_score":0.0041329265},"labels":[],"label_agreement":null},{"id":"W3162978563","doi":"10.3390/en14102808","title":"A System Dynamics Approach to Comparative Analysis of Biomass Supply Chain Coordination Strategies","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","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":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Profitability index; Environmental economics; Bioenergy; Electricity; Profit (economics); Business; Biomass (ecology); System dynamics; Industrial organization; Mains electricity; Electricity generation; Renewable energy; Environmental resource management; Microeconomics; Economics; Computer science; Marketing; Power (physics); Ecology; Engineering","score_opus":0.012563609190644533,"score_gpt":0.2288795799557279,"score_spread":0.21631597076508338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162978563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19550395,0.0007046437,0.7199565,0.0012103169,0.00008785141,0.0008295024,0.0009990725,0.00017916202,0.08052894],"genre_scores_gemma":[0.93076843,0.0005155589,0.060751062,0.00009008505,0.000022826038,0.00090703455,0.0002543811,0.000029334127,0.006661325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989736,0.00067680253,0.000027882174,0.00008375776,0.00011167536,0.0001263211],"domain_scores_gemma":[0.9967397,0.0026136402,0.00024259202,0.00006259246,0.0002621197,0.00007929046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002587002,0.0010153764,0.0008069002,0.0018878629,0.00090625224,0.0016308321,0.0010196121,0.0013064991,0.010339984],"category_scores_gemma":[0.0054173726,0.00038973836,0.0013734833,0.0013354816,0.0010117727,0.0013208897,0.0012358138,0.0012844726,0.0003401961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046506775,0.00006384597,0.0013837933,0.000081534796,0.00008637741,0.00011353478,0.00015071042,0.9128871,0.0005564492,0.07989496,0.00035334833,0.004381851],"study_design_scores_gemma":[0.000015228808,0.000072750336,0.000530481,0.0000135799755,0.000015834321,0.000009517374,0.00017348054,0.98697424,0.0000872746,0.011065673,0.0010316225,0.000010358981],"about_ca_topic_score_codex":0.042959955,"about_ca_topic_score_gemma":0.028613087,"teacher_disagreement_score":0.042959955,"about_ca_system_score_codex":0.00420141,"about_ca_system_score_gemma":0.0029804816,"threshold_uncertainty_score":0.08541983},"labels":[],"label_agreement":null},{"id":"W3163763547","doi":"10.3390/en14092433","title":"Techno-Economic Analysis of Waste Heat Utilization in Data Centers: Application of Absorption Chiller Systems","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Waterloo; Dalhousie University","funders":"Killam Trusts; Dalhousie University","keywords":"Absorption refrigerator; Waste heat; Chiller; Payback period; Waste management; Electricity; Waste heat recovery unit; Data center; Process engineering; Greenhouse gas; Environmental science; Heat recovery ventilation; Efficient energy use; Environmental economics; Engineering; Production (economics); Computer science; Mechanical engineering; Electrical engineering; Heat exchanger; Economics","score_opus":0.02118612704610479,"score_gpt":0.23921006385342675,"score_spread":0.21802393680732196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163763547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842168,0.0006057534,0.011172356,0.00008765114,0.000011646287,0.00005891807,0.00021980779,0.000036352103,0.0035907316],"genre_scores_gemma":[0.9978575,0.00022094182,0.0015180238,0.0000034543136,0.0000023851967,0.000017159959,0.0000605182,0.0000050437916,0.0003149694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996927,0.00007482768,0.000014802216,0.000033299842,0.00012822577,0.000056202945],"domain_scores_gemma":[0.9995993,0.00024021296,0.000041362884,0.000019130408,0.00008969189,0.000010349017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005738936,0.0004530993,0.0005055994,0.0011308026,0.00028140395,0.00072031614,0.000439195,0.0004979553,0.0008874713],"category_scores_gemma":[0.0007335662,0.00014745355,0.00079618685,0.001353528,0.00028617174,0.00052506936,0.00023168443,0.0003946868,0.00009736613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011167711,0.0005691131,0.019382244,0.0006011964,0.00014126879,0.00034741615,0.00005804232,0.8386552,0.098079756,0.0022449628,0.00039901433,0.038405016],"study_design_scores_gemma":[0.00003138193,0.0008669392,0.020563701,0.000013168541,0.00007686158,0.00006948834,0.00016452571,0.89534396,0.08156213,0.00059656263,0.000683347,0.00002795906],"about_ca_topic_score_codex":0.004497816,"about_ca_topic_score_gemma":0.003686665,"teacher_disagreement_score":0.004497816,"about_ca_system_score_codex":0.0009657126,"about_ca_system_score_gemma":0.00040465503,"threshold_uncertainty_score":0.008943319},"labels":[],"label_agreement":null},{"id":"W3163785279","doi":"10.3390/en14102948","title":"Decentral Energy Generation Potential of Anaerobic Digestion of Black Water and Kitchen Refuse for Eco-District Planning","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Anaerobic digestion; Biogas; Blackwater; Bioenergy; Waste management; Environmental science; Biomass (ecology); Methane; Digestion (alchemy); Environmental engineering; Food waste; Biofuel; Engineering; Chemistry; Ecology","score_opus":0.014314707794804395,"score_gpt":0.21492836799810405,"score_spread":0.20061366020329965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163785279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99291575,0.00012131728,0.0032217286,0.000037696744,0.0000038829453,0.000012566618,0.00019271643,0.00001242706,0.003481827],"genre_scores_gemma":[0.99864286,0.00006033989,0.000423757,0.0000017476384,3.1389928e-7,0.000006514471,0.00006242937,0.0000026481073,0.0007992605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992526,0.000019529236,0.0000028026427,0.000009224237,0.000019205427,0.00002393482],"domain_scores_gemma":[0.9999187,0.000042599924,0.000008981158,0.000004062923,0.000018695755,0.0000070202623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021592513,0.0002866851,0.0002592687,0.0003728337,0.00026817023,0.00054135977,0.00024956255,0.00034525088,0.0016175321],"category_scores_gemma":[0.0002595566,0.0001522216,0.00038651194,0.0004867815,0.00016075507,0.00042518548,0.00026109122,0.00020048356,0.00021676261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010266814,0.00011640143,0.018941203,0.00022641942,0.00004532873,0.00046917697,0.000092326794,0.8980939,0.058199998,0.0023572326,0.0003023661,0.020129059],"study_design_scores_gemma":[0.0000431346,0.00047562708,0.017928217,0.00002904137,0.00007474137,0.000084516534,0.00058707356,0.9116657,0.06589616,0.0015475827,0.0016326038,0.000035583857],"about_ca_topic_score_codex":0.009952437,"about_ca_topic_score_gemma":0.019834008,"teacher_disagreement_score":0.009952437,"about_ca_system_score_codex":0.0009276823,"about_ca_system_score_gemma":0.00062800274,"threshold_uncertainty_score":0.01978898},"labels":[],"label_agreement":null},{"id":"W3163798297","doi":"10.3390/en14102824","title":"A Prediction Model for Battery Electric Bus Energy Consumption in Transit","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":83,"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":"Energy consumption; Battery (electricity); HVAC; Automotive engineering; Transit (satellite); Regression analysis; State of charge; Energy (signal processing); Simulation; Engineering; Environmental science; Public transport; Transport engineering; Statistics; Air conditioning; Power (physics); Electrical engineering; Mathematics","score_opus":0.0102025222625206,"score_gpt":0.18883023497930543,"score_spread":0.17862771271678482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163798297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5427562,0.0003143534,0.4426879,0.00029995842,0.00007687284,0.00014375344,0.00177924,0.0015040878,0.010437651],"genre_scores_gemma":[0.989665,0.000095585456,0.0062461803,0.000010139009,0.0000065571703,0.000084472216,0.00052219676,0.00002212794,0.0033477566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998472,0.000027768932,0.000009195728,0.000056539593,0.000036441437,0.000022824395],"domain_scores_gemma":[0.99979955,0.000093000475,0.000028835688,0.000009943162,0.00006318104,0.000005490884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032258718,0.00064034807,0.0003823384,0.0002935782,0.000243666,0.0005460339,0.00059751014,0.00042244262,0.001993403],"category_scores_gemma":[0.00068872556,0.00028285428,0.00044921457,0.00031419017,0.00015211843,0.00043014358,0.00026948738,0.00057605037,0.00036455097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003455295,0.000028626207,0.0016173893,0.000018848423,0.000009289387,0.000031974218,0.00001932857,0.9916442,0.0010553143,0.0005052407,0.00019893088,0.0048363153],"study_design_scores_gemma":[0.000001824683,0.000011772329,0.0003854587,0.0000010250616,0.0000033276613,0.0000034185932,0.000004305037,0.99920446,0.00019233275,0.00009306771,0.000097396645,0.0000016094266],"about_ca_topic_score_codex":0.028534932,"about_ca_topic_score_gemma":0.017449351,"teacher_disagreement_score":0.028534932,"about_ca_system_score_codex":0.00064625626,"about_ca_system_score_gemma":0.0006592086,"threshold_uncertainty_score":0.05673766},"labels":[],"label_agreement":null},{"id":"W3164327489","doi":"10.3390/en14113045","title":"On the Evaluation of Interfacial Tension (IFT) of CO2–Paraffin System for Enhanced Oil Recovery Process: Comparison of Empirical Correlations, Soft Computing Approaches, and Parachor Model","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Surface tension; Enhanced oil recovery; Thermodynamics; Particle swarm optimization; Soft computing; Scaling; Alkane; Equation of state; Biological system; Artificial neural network; Chemistry; Computer science; Materials science; Algorithm; Mathematics; Petroleum engineering; Hydrocarbon; Artificial intelligence; Physics; Engineering; Organic chemistry","score_opus":0.08215049769198811,"score_gpt":0.3298173894148577,"score_spread":0.2476668917228696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164327489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67195964,0.0042410726,0.31906825,0.00020636788,0.0000748492,0.00010646316,0.00018646789,0.00045803344,0.0036989052],"genre_scores_gemma":[0.9746309,0.0013018866,0.023359159,0.000022183507,0.000012106368,0.000047461082,0.00010879948,0.000027675434,0.00048980484],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994456,0.0001279697,0.000034019013,0.00013484788,0.0002302486,0.000027174596],"domain_scores_gemma":[0.999186,0.00045942474,0.00011462038,0.00006727782,0.00015762722,0.000015113673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001329032,0.000783073,0.00058184593,0.0011809219,0.00018819985,0.0005807545,0.00051176886,0.0006701372,0.00032977053],"category_scores_gemma":[0.001994892,0.00018248697,0.00067168294,0.0011717387,0.00038421882,0.0011171509,0.00036903826,0.00053050474,0.00012753582],"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":[0.00075000693,0.0005676547,0.038486466,0.0015382598,0.0002955596,0.00049309054,0.0005102088,0.34955963,0.24568665,0.0050454778,0.0007007771,0.35636616],"study_design_scores_gemma":[0.0000061475366,0.00020985973,0.005495172,0.00002013738,0.00003952496,0.000086695785,0.00006797079,0.93089193,0.062228195,0.0004909089,0.00043367676,0.000029808925],"about_ca_topic_score_codex":0.0015750995,"about_ca_topic_score_gemma":0.001789378,"teacher_disagreement_score":0.0015750995,"about_ca_system_score_codex":0.00030731852,"about_ca_system_score_gemma":0.00033421454,"threshold_uncertainty_score":0.007028699},"labels":[],"label_agreement":null},{"id":"W3165385864","doi":"10.3390/en14113058","title":"Review of Vibration Control Methods for Wind Turbines","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Wind power; Turbine; Marine engineering; Vibration; Offshore wind power; Engineering; Automotive engineering; Environmental science; Computer science; Mechanical engineering","score_opus":0.010388499340055963,"score_gpt":0.29143140710412946,"score_spread":0.2810429077640735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165385864","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":[0.0017288564,0.8902231,0.089560576,0.0004710267,0.0013187903,0.00006901056,0.000090723224,0.00014223931,0.016395621],"genre_scores_gemma":[0.043550067,0.88284194,0.054535795,0.0006516521,0.0022707637,0.00015667999,0.00032981538,0.00010286345,0.01556043],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993512,0.0000843233,0.0000808059,0.0001226768,0.000333675,0.000027288446],"domain_scores_gemma":[0.99939334,0.00032055634,0.000044923006,0.000030516152,0.00019661275,0.000014094152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053846196,0.0009480074,0.0009380534,0.0015025267,0.00038680775,0.0010218843,0.0009261108,0.0010155481,0.0055021336],"category_scores_gemma":[0.0012111403,0.00046370155,0.0007256399,0.0016379497,0.00045396504,0.0011897128,0.00047482576,0.0008884773,0.002075892],"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":[0.00007227915,0.00007649125,0.0001709333,0.01220101,0.00009275827,0.00016281167,0.00013227762,0.0069430945,0.008629069,0.01379041,0.012484073,0.9452448],"study_design_scores_gemma":[0.00002691387,0.00045207966,0.0023049852,0.0051098014,0.00020969892,0.001358628,0.00021910276,0.020983668,0.007138717,0.01561945,0.9464582,0.00011875817],"about_ca_topic_score_codex":0.0010701474,"about_ca_topic_score_gemma":0.00084429194,"teacher_disagreement_score":0.0055021336,"about_ca_system_score_codex":0.00038929703,"about_ca_system_score_gemma":0.00065315975,"threshold_uncertainty_score":0.01840645},"labels":[],"label_agreement":null},{"id":"W3165465320","doi":"10.3390/en14113092","title":"A Review of Antiviral and Antioxidant Activity of Bioactive Metabolite of Macroalgae within an Optimized Extraction Method","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Prince Edward Island","funders":"","keywords":"Secondary metabolite; Metabolite; Biology; Potency; Antioxidant; Chlorophyceae; Algae; Herpes simplex virus; Extraction (chemistry); Red algae; Virus; Biochemistry; Botany; Virology; Chemistry; Chromatography; In vitro; Chlorophyta","score_opus":0.06251657785131463,"score_gpt":0.3590391616135386,"score_spread":0.29652258376222396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165465320","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":[0.0006162256,0.9975434,0.00025099836,0.00009637359,0.00011397886,0.000008723837,0.00005677318,0.000008618961,0.0013048787],"genre_scores_gemma":[0.0021334414,0.99657494,0.0004514984,0.000096766795,0.000058597452,0.000009226163,0.0000696512,0.0000019571044,0.0006039046],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998275,0.000026210593,0.00003778755,0.000035206525,0.000059180773,0.00001407644],"domain_scores_gemma":[0.999726,0.00014071046,0.000049825016,0.0000083399,0.000063231724,0.000011856146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035145637,0.0007445244,0.0009328972,0.0024182377,0.0002590414,0.0006773349,0.00050759903,0.0005960975,0.0030980955],"category_scores_gemma":[0.0005608128,0.000303069,0.00070904876,0.0022957854,0.00020183614,0.0009325676,0.00036112,0.00069968984,0.0008109508],"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":[0.0001234804,0.00012375072,0.0003845033,0.13620766,0.00028751482,0.00040138332,0.00015839344,0.0007545816,0.01713678,0.003487573,0.015723942,0.82521033],"study_design_scores_gemma":[0.000015518002,0.00033106984,0.0023822482,0.011076233,0.0005622489,0.001495499,0.00011543395,0.00021379613,0.00655993,0.0011646587,0.976044,0.00003940329],"about_ca_topic_score_codex":0.0010256036,"about_ca_topic_score_gemma":0.0017164382,"teacher_disagreement_score":0.0030980955,"about_ca_system_score_codex":0.0003220838,"about_ca_system_score_gemma":0.00092447456,"threshold_uncertainty_score":0.010364175},"labels":[],"label_agreement":null},{"id":"W3165607809","doi":"10.3390/en14113068","title":"Effects of the Chromium Content in (TiVNb)100−xCrx Body-Centered Cubic High Entropy Alloys Designed for Hydrogen Storage Applications","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":59,"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":"Instituto Serrapilheira; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Hydrogen storage; Materials science; CALPHAD; Hydride; Arc melting; Chromium; Hydrogen; Thermodynamics; Alloy; Solid solution; Phase diagram; Phase (matter); Metallurgy; Chemistry; Metal","score_opus":0.010769675829498126,"score_gpt":0.20447916122719176,"score_spread":0.19370948539769364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165607809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984524,0.00038598807,0.00035453582,0.00002094273,0.000011592939,0.000008983833,0.000053177904,0.00002466798,0.000687696],"genre_scores_gemma":[0.99848074,0.00017411483,0.00076175085,0.000011025762,0.0000030451163,0.000007943642,0.00006773657,0.000020600997,0.00047305608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985874,0.000017896515,0.000014757115,0.000034582998,0.000046607576,0.00002743495],"domain_scores_gemma":[0.9998499,0.000040061725,0.000040507723,0.0000162773,0.00003698118,0.000016246962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015409323,0.00025557526,0.00023203835,0.0002373536,0.00019675907,0.00042237315,0.00031523337,0.0002525091,0.0007022671],"category_scores_gemma":[0.00045194323,0.00020324318,0.00014716729,0.00021924275,0.00020355657,0.00020595086,0.00021643568,0.00022281773,0.00016777476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000370999,0.00002272176,0.0006177473,0.0001305099,0.000015262427,0.000047777914,0.00003357815,0.00042313532,0.9963588,0.00010768017,0.000036843092,0.0018348931],"study_design_scores_gemma":[0.000011077062,0.00032175277,0.0018978138,0.0000070527967,0.000033900207,0.000040439612,0.00003311295,0.0012385785,0.99562657,0.000013426261,0.00077182153,0.0000043887844],"about_ca_topic_score_codex":0.0013050894,"about_ca_topic_score_gemma":0.002770963,"teacher_disagreement_score":0.0013050894,"about_ca_system_score_codex":0.0002724428,"about_ca_system_score_gemma":0.0001921738,"threshold_uncertainty_score":0.0025950074},"labels":[],"label_agreement":null},{"id":"W3165645754","doi":"10.3390/en14113099","title":"Seismic Velocity Structure Beneath the Tofino Forearc Basin Using Full Waveform Inversion","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Geology; Terrane; Seismology; Forearc; Subduction; Seafloor spreading; Inversion (geology); Continental shelf; Continental margin; Seismic refraction; Lithology; Geophysics; Paleontology; Tectonics; Oceanography","score_opus":0.01587364259064294,"score_gpt":0.21035593325242385,"score_spread":0.1944822906617809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165645754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848097,0.000041661577,0.0108922385,0.000039842336,0.000004765255,0.00001579577,0.00048759737,0.00022777241,0.0034805834],"genre_scores_gemma":[0.9938684,0.000044400917,0.0043338654,0.0000046653577,0.0000018955168,0.000008682477,0.00081147143,0.000016719498,0.0009097934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999639,0.0000020556836,0.0000018173919,0.000009755702,0.000009966177,0.000012512039],"domain_scores_gemma":[0.9999634,0.000004909001,0.0000049815917,0.000004092442,0.000016035261,0.000006518701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005992506,0.00043969267,0.00017578831,0.0005054486,0.00024062474,0.00047962883,0.0003890644,0.00033350443,0.0012336787],"category_scores_gemma":[0.00030282873,0.00023938084,0.0002388772,0.0004509292,0.00010198982,0.00026683838,0.00024313641,0.00019986571,0.00020581107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020618936,0.00018473812,0.105446845,0.00007478631,0.00006170515,0.0005227602,0.00037488027,0.69104725,0.06579475,0.001140975,0.00093027274,0.13421482],"study_design_scores_gemma":[0.000017990176,0.00002294464,0.043472756,0.000006343201,0.000011110583,0.000035564717,0.00010471379,0.95338744,0.0020654115,0.00020784092,0.0006523215,0.000015502084],"about_ca_topic_score_codex":0.16295844,"about_ca_topic_score_gemma":0.17643201,"teacher_disagreement_score":0.16295844,"about_ca_system_score_codex":0.00057937944,"about_ca_system_score_gemma":0.0012401645,"threshold_uncertainty_score":0.32401985},"labels":[],"label_agreement":null},{"id":"W3166115024","doi":"10.3390/en14113297","title":"Investigation of the Electrochemical Properties of Ni0.5Zn0.5Fe2O4 as Binder-Based and Binder-Free Electrodes of Supercapacitors","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"US-Pakistan Centre for Advanced Studies in Energy, University of Engineering and Technology, Peshawar; University of Engineering and Technology, Taxila","keywords":"Electrode; Cyclic voltammetry; Dielectric spectroscopy; Materials science; Supercapacitor; Scanning electron microscope; Electrochemistry; Transmission electron microscopy; Chemical engineering; Nanotechnology; Nickel; Analytical Chemistry (journal); Composite material; Chemistry; Metallurgy; Organic chemistry","score_opus":0.018796721855112476,"score_gpt":0.20085972799018023,"score_spread":0.18206300613506776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166115024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98679185,0.0041827583,0.0066541587,0.00007756563,0.00006854786,0.00003893043,0.00027878938,0.00011595046,0.0017914686],"genre_scores_gemma":[0.99067116,0.0014029179,0.005785213,0.000023483914,0.0000128831525,0.000030828185,0.00024998817,0.000016844257,0.0018067097],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993919,0.00004448184,0.00006148525,0.00008857887,0.0003394264,0.0000741059],"domain_scores_gemma":[0.9997861,0.000034609617,0.00003718719,0.000022085294,0.000093609284,0.00002653161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039854992,0.00049990945,0.0005050754,0.00069071853,0.0002177505,0.00046548233,0.001031397,0.00066435017,0.0005741625],"category_scores_gemma":[0.0006903684,0.00026556305,0.0002607867,0.0006205323,0.00021994878,0.0007310274,0.00030088788,0.000308254,0.00022030198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009396391,0.00002761791,0.00037152637,0.00017761294,0.000020765956,0.00013750346,0.00003546764,0.00021878268,0.9932153,0.00008703005,0.000042693864,0.0055717374],"study_design_scores_gemma":[0.0000050800872,0.00006454622,0.0013042396,0.000004287153,0.00001677981,0.00011479185,0.000029477276,0.0014775165,0.99592906,0.000025096517,0.0010223706,0.000006741501],"about_ca_topic_score_codex":0.0011102606,"about_ca_topic_score_gemma":0.003202121,"teacher_disagreement_score":0.0011102606,"about_ca_system_score_codex":0.00048042543,"about_ca_system_score_gemma":0.00018084452,"threshold_uncertainty_score":0.0034857392},"labels":[],"label_agreement":null},{"id":"W3166693974","doi":"10.3390/en14113223","title":"Instantaneous Electromagnetic Torque Components in Synchronous Motors Fed by Load-Commutated Inverters","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec; Université du Québec à Trois-Rivières; Université du Québec à Chicoutimi","funders":"","keywords":"Torque; Engineering; Synchronous motor; Direct torque control; Rotor (electric); Control theory (sociology); Stall torque; Harmonic; Parametric statistics; Range (aeronautics); Induction motor; Computer science; Electrical engineering; Voltage; Physics; Acoustics","score_opus":0.005560472013881379,"score_gpt":0.17560845311066814,"score_spread":0.17004798109678676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166693974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08434108,0.0007558363,0.89715016,0.000075185926,0.000058520523,0.000026453572,0.00005877753,0.00022538028,0.017308548],"genre_scores_gemma":[0.97060126,0.00055295613,0.024361162,0.000020161298,0.000021976677,0.000020558866,0.000042620537,0.00004791453,0.0043313955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999014,0.00001909685,0.000004570803,0.000012429922,0.000054786196,0.000007727274],"domain_scores_gemma":[0.99989974,0.000039890027,0.000026465506,0.000008405728,0.000021446405,0.0000040710447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001815155,0.0002654208,0.00018969191,0.00035475055,0.00013763206,0.00036797102,0.00039085976,0.00023999102,0.0013264605],"category_scores_gemma":[0.00043778346,0.000115687886,0.00020659319,0.00032819854,0.00035678028,0.0004584143,0.00012415052,0.00021015664,0.00026338844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023058147,0.00008667995,0.0023910108,0.0006468862,0.000037690872,0.00069103297,0.00058323843,0.6054389,0.08963563,0.1623361,0.0014875367,0.13643473],"study_design_scores_gemma":[0.000006675348,0.00008561329,0.0009524516,0.000019424637,0.000009838991,0.00017162392,0.00005634036,0.9772471,0.0088555645,0.008722897,0.0038617374,0.000010777539],"about_ca_topic_score_codex":0.00039236163,"about_ca_topic_score_gemma":0.000453536,"teacher_disagreement_score":0.0013264605,"about_ca_system_score_codex":0.0003663167,"about_ca_system_score_gemma":0.00014126782,"threshold_uncertainty_score":0.004437506},"labels":[],"label_agreement":null},{"id":"W3166821157","doi":"10.3390/en14123373","title":"A Comparative Study of Adaptive Filtering Strategies for Hybrid Energy Storage Systems in Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fonds de recherche du Québec – Nature et technologies; Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Emulation; Battery (electricity); Context (archaeology); Computer science; Electric vehicle; Energy storage; Energy (signal processing); Automotive engineering; Energy management; Voltage; Engineering; Electrical engineering","score_opus":0.035860269330304256,"score_gpt":0.28337872364400796,"score_spread":0.2475184543137037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166821157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43779764,0.0063586724,0.5294603,0.00032289673,0.00016572312,0.00019874697,0.00006853005,0.00034448016,0.02528308],"genre_scores_gemma":[0.9875802,0.0006295591,0.0106942,0.000025704057,0.000013549672,0.00002679363,0.000022198448,0.000007184773,0.0010006907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998466,0.00003528478,0.000016060047,0.000029130924,0.000054551816,0.000018340887],"domain_scores_gemma":[0.99965334,0.00017585531,0.000029410832,0.000024722724,0.000106783584,0.0000098213295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004986521,0.0004550295,0.00034261684,0.0003632784,0.0002125527,0.00052098633,0.00031742526,0.0003727793,0.0010644413],"category_scores_gemma":[0.0008659212,0.00009510869,0.0003602643,0.00020998679,0.0001664857,0.0004112088,0.000168091,0.00023688786,0.00013407196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007435135,0.00034124972,0.00352214,0.0007298994,0.0002139794,0.00014154684,0.00025053613,0.50592977,0.03653249,0.010193645,0.00085264526,0.44054854],"study_design_scores_gemma":[0.00002956902,0.0010559219,0.0030623442,0.000041589745,0.00008591239,0.00007254758,0.00009461012,0.98074913,0.010714813,0.0014516497,0.0026222698,0.00001963656],"about_ca_topic_score_codex":0.002419507,"about_ca_topic_score_gemma":0.001935425,"teacher_disagreement_score":0.002419507,"about_ca_system_score_codex":0.0003336762,"about_ca_system_score_gemma":0.00019598914,"threshold_uncertainty_score":0.0048108697},"labels":[],"label_agreement":null},{"id":"W3167577325","doi":"10.3390/en14113188","title":"Optimal Planning of Integrated Nuclear-Renewable Energy System for Marine Ships Using Artificial Intelligence Algorithm","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Greenhouse gas; Fossil fuel; Marine energy; Engineering; Nuclear power; Energy development; Marine engineering; Environmental science; Waste management; Electrical engineering; Oceanography; Ecology","score_opus":0.026299598252474292,"score_gpt":0.24279302806781733,"score_spread":0.21649342981534303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167577325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09206916,0.001604379,0.8790452,0.00071436726,0.00015567253,0.00026154166,0.000489444,0.00096191483,0.024698205],"genre_scores_gemma":[0.9119886,0.0005258316,0.079300135,0.0001427215,0.000037887832,0.00040787677,0.0005908454,0.00007499537,0.006931194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968743,0.00007547014,0.000017482414,0.00007312327,0.00006745708,0.000078996665],"domain_scores_gemma":[0.99949944,0.00027771256,0.000059366404,0.000012160946,0.00010742704,0.00004388523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005294225,0.0012648754,0.0014667979,0.0010343603,0.0006724406,0.0014934792,0.0009912404,0.0012729537,0.006271477],"category_scores_gemma":[0.0011024048,0.0009208452,0.0010431588,0.0009237164,0.0006512769,0.0006960598,0.0008478444,0.001076534,0.00042873007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024613875,0.00001077182,0.0001954102,0.000032732965,0.000011981896,0.000052377014,0.000011508918,0.994919,0.00012821487,0.0006619926,0.0002940538,0.0036572758],"study_design_scores_gemma":[0.0000061527803,0.000010884674,0.000048433547,0.000003040101,0.0000045082365,0.0000036489632,0.0000070457527,0.9992995,0.000046558278,0.00044050574,0.00012795831,0.0000017825906],"about_ca_topic_score_codex":0.030276055,"about_ca_topic_score_gemma":0.021528568,"teacher_disagreement_score":0.030276055,"about_ca_system_score_codex":0.0013071868,"about_ca_system_score_gemma":0.0024820052,"threshold_uncertainty_score":0.060199678},"labels":[],"label_agreement":null},{"id":"W3168395769","doi":"10.3390/en14123421","title":"An Innovative System for the Treatment of Rising Dampness in Buildings Located in Cold Climates","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Durability; Context (archaeology); Environmental science; Moisture; Frost (temperature); Building envelope; Thermal insulation; Obstacle; Thermal comfort; Ventilation (architecture); Dynamic insulation; Architectural engineering; Civil engineering; Thermal; Engineering; Materials science; Mechanical engineering; Meteorology; Layer (electronics); Composite material; Vacuum insulated panel; Geology","score_opus":0.017931153853642377,"score_gpt":0.2446593857251461,"score_spread":0.2267282318715037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168395769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57757336,0.0042624557,0.40817744,0.00033641682,0.0006500445,0.0005963082,0.00055010186,0.0037526446,0.0041012107],"genre_scores_gemma":[0.8956466,0.0009825121,0.09384086,0.00027935632,0.00011223492,0.00037436446,0.0003159664,0.00010572776,0.008342457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997125,0.000034986137,0.000016546655,0.00008956091,0.00011268295,0.00003362524],"domain_scores_gemma":[0.99982977,0.000033725475,0.000032181902,0.000028944038,0.00005347916,0.000021883912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003530668,0.0005869861,0.00057651143,0.00057259406,0.00037443513,0.00052961474,0.0007522894,0.00069043523,0.0027083135],"category_scores_gemma":[0.0003469085,0.00022174027,0.00042424595,0.00023772004,0.00022294672,0.00050428475,0.00060576614,0.00034591425,0.00092026446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028092775,0.00015582974,0.001218736,0.00043733258,0.000027732205,0.00013369933,0.00021702785,0.0015503189,0.93022615,0.0003963621,0.0008026559,0.064553306],"study_design_scores_gemma":[0.00013927012,0.0031226566,0.014901539,0.000092030605,0.00023292261,0.0009689018,0.00023850557,0.051013052,0.8901414,0.00042849727,0.03859998,0.00012130316],"about_ca_topic_score_codex":0.00029033574,"about_ca_topic_score_gemma":0.0005575346,"teacher_disagreement_score":0.0027083135,"about_ca_system_score_codex":0.00020503976,"about_ca_system_score_gemma":0.00028594074,"threshold_uncertainty_score":0.009060204},"labels":[],"label_agreement":null},{"id":"W3168705616","doi":"10.3390/en14123449","title":"A Novel Framework to Study the Role of Ground and Fumed Silica Fillers in Suppressing DC Erosion of Silicone Rubber Outdoor Insulation","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials 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":"National Research Council Canada; École de Technologie Supérieure","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Fumed silica; Materials science; Composite material; Silicone rubber; Composite number; Thermogravimetric analysis; Chemical engineering","score_opus":0.016037159888271202,"score_gpt":0.2596954173701714,"score_spread":0.24365825748190018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168705616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9216527,0.005406814,0.065277904,0.00012254006,0.000087143875,0.000119076234,0.00020036125,0.00014156048,0.0069918917],"genre_scores_gemma":[0.9571055,0.0019249154,0.038186595,0.00004620127,0.000017093249,0.000056574707,0.000109344684,0.000012817815,0.0025409465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993634,0.0000059393856,0.0000021651,0.0000174874,0.000025864034,0.000012169302],"domain_scores_gemma":[0.9999553,0.000009319321,0.0000126222285,0.000006723398,0.000008525385,0.0000074792783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053539,0.00025119924,0.00020117826,0.00017435553,0.0001363575,0.00021799063,0.0002267833,0.0002847098,0.0007458342],"category_scores_gemma":[0.00006947969,0.00012119736,0.00019915939,0.00008975129,0.000280351,0.00029220854,0.00018606514,0.00040711334,0.00017566113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015018457,0.00002082914,0.00009389186,0.000076107404,0.0000036970105,0.00005730011,0.00002043533,0.00032027994,0.9967829,0.0007592841,0.000020768506,0.0018295154],"study_design_scores_gemma":[0.000006324974,0.00042814657,0.0012444421,0.00001325413,0.000017076762,0.00026245872,0.00005373214,0.0041438304,0.9866714,0.0003777845,0.0067715244,0.0000100873085],"about_ca_topic_score_codex":0.00040152008,"about_ca_topic_score_gemma":0.00092970155,"teacher_disagreement_score":0.0007458342,"about_ca_system_score_codex":0.00015772415,"about_ca_system_score_gemma":0.00019171645,"threshold_uncertainty_score":0.0024950504},"labels":[],"label_agreement":null},{"id":"W3169563731","doi":"10.3390/en14113306","title":"Review of Recent Drilling Projects in Unconventional Geothermal Resources at Campi Flegrei Caldera, Cornubian Batholith, and Williston Sedimentary Basin","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Caldera; Geology; Geothermal exploration; Geothermal gradient; Drilling; Sedimentary basin; Context (archaeology); Geothermal energy; Sedimentary rock; Mining engineering; Petroleum engineering; Scientific drilling; Earth science; Geochemistry; Volcano; Paleontology; Engineering","score_opus":0.02080731171942519,"score_gpt":0.24862889218912024,"score_spread":0.22782158046969506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169563731","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":[0.00089280825,0.9960264,0.00031799663,0.00047603296,0.00029146526,0.000015148435,0.00013957304,0.000010453601,0.0018301434],"genre_scores_gemma":[0.0020425895,0.9965312,0.00036457673,0.00019622811,0.000110368324,0.000011430335,0.0001918672,0.0000036520446,0.0005480432],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944514,0.00008931974,0.00014635861,0.00008885704,0.00018838972,0.000041967414],"domain_scores_gemma":[0.9977215,0.00089460576,0.00053180265,0.00003934897,0.0006991692,0.00011366518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323988,0.000603695,0.0007960265,0.00545687,0.00038659765,0.0012239453,0.0009760174,0.0008628248,0.0031681603],"category_scores_gemma":[0.0022949032,0.00047129186,0.0005319516,0.012009443,0.0005001532,0.0014042218,0.00061023916,0.0005594299,0.0007179761],"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":[0.00010730678,0.000051388106,0.0012158914,0.08192442,0.0001857463,0.0003850146,0.00043834499,0.0009889634,0.0019450895,0.0018578202,0.042193018,0.86870706],"study_design_scores_gemma":[0.000010257735,0.00013337415,0.007897872,0.018242389,0.00025971283,0.00071880326,0.0005475017,0.00009646268,0.0007847321,0.00034709895,0.9709335,0.00002837916],"about_ca_topic_score_codex":0.0137363635,"about_ca_topic_score_gemma":0.038313627,"teacher_disagreement_score":0.0137363635,"about_ca_system_score_codex":0.001454128,"about_ca_system_score_gemma":0.0042808726,"threshold_uncertainty_score":0.027312815},"labels":[],"label_agreement":null},{"id":"W3170732303","doi":"10.3390/en14123579","title":"The Steady Wake of a Wall-Mounted Rectangular Prism with a Large-Depth-Ratio at Low Reynolds Numbers","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Wake; Reynolds number; Downwash; Mechanics; Prism; Drag; Vorticity; Geometry; Lift-to-drag ratio; Lift (data mining); Physics; Optics; Vortex shedding; Aspect ratio (aeronautics); Drag coefficient; Vortex; Mathematics; Turbulence","score_opus":0.0034745756623676778,"score_gpt":0.1974101779828663,"score_spread":0.19393560232049864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170732303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98804563,0.00012095088,0.0072011724,0.00006122318,0.000037278256,0.000022981256,0.00017428707,0.00008756219,0.004249008],"genre_scores_gemma":[0.99645066,0.00005338806,0.0024156938,0.00001205516,0.00000446593,0.000008797046,0.00009001433,0.000011493081,0.00095336343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994516,0.000005154297,0.000002342651,0.0000071497916,0.000016695942,0.000023417388],"domain_scores_gemma":[0.9998628,0.000039345974,0.00002511166,0.000013001965,0.000021660655,0.000037970345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012827016,0.00030472543,0.00025624942,0.00018002835,0.00026264944,0.00028390205,0.00031285285,0.00035425683,0.0013853032],"category_scores_gemma":[0.00035908786,0.00020966589,0.00038266747,0.00016506955,0.00044788505,0.00026361254,0.0005159941,0.00038443532,0.00017508256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007195364,0.00019693801,0.01372306,0.00031922525,0.00008662648,0.002202758,0.00023333955,0.695221,0.2724785,0.0041495725,0.0007286412,0.009940802],"study_design_scores_gemma":[0.00012012363,0.00077935157,0.022279989,0.000025374611,0.000037412014,0.00032170457,0.00034212827,0.95089,0.0231407,0.0009596341,0.0010585269,0.000044997545],"about_ca_topic_score_codex":0.0027059885,"about_ca_topic_score_gemma":0.002657938,"teacher_disagreement_score":0.0027059885,"about_ca_system_score_codex":0.00019826586,"about_ca_system_score_gemma":0.0004911089,"threshold_uncertainty_score":0.0053804517},"labels":[],"label_agreement":null},{"id":"W3170766863","doi":"10.3390/en14123429","title":"Oil Price Uncertainty, Globalization, and Total Factor Productivity: Evidence from the European Union","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"RUDN University","keywords":"Total factor productivity; Economics; Globalization; European union; Oil price; Volatility (finance); Productivity; International trade; Panel data; International economics; Technological change; Monetary economics; Macroeconomics; Econometrics; Market economy","score_opus":0.025536145210915556,"score_gpt":0.2165945680832722,"score_spread":0.19105842287235666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170766863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886741,0.005416145,0.0007173305,0.00038967156,0.000012826442,0.0000039046654,0.00074832037,0.000011667587,0.0040259687],"genre_scores_gemma":[0.99659306,0.0021218809,0.00013159467,0.00004785181,0.000021964386,0.0000021694204,0.0008905275,0.000004356107,0.00018667556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992355,0.00017496632,0.000105566454,0.00016543138,0.00021617308,0.00010242043],"domain_scores_gemma":[0.9895447,0.004652705,0.0040918877,0.0005723558,0.000849999,0.00028834856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019770844,0.0003314868,0.0005230972,0.0021229933,0.00030632777,0.0018338715,0.0002924588,0.00056627655,0.000984331],"category_scores_gemma":[0.007864141,0.00017946465,0.00052918005,0.0048105037,0.0006944309,0.0015501508,0.0012182031,0.00040821976,0.00016139615],"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":[0.0004154347,0.00010892982,0.94053245,0.0002459486,0.0006940584,0.00037513164,0.00075061293,0.0077171572,0.0005026595,0.005272156,0.0016966213,0.04168882],"study_design_scores_gemma":[0.000017782197,0.00006687944,0.98738724,0.00016624533,0.0002259966,0.00012814127,0.0007908031,0.0025625483,0.00085364276,0.002502237,0.0052661975,0.00003243616],"about_ca_topic_score_codex":0.010979597,"about_ca_topic_score_gemma":0.007115733,"teacher_disagreement_score":0.010979597,"about_ca_system_score_codex":0.00044178657,"about_ca_system_score_gemma":0.00034255983,"threshold_uncertainty_score":0.021831393},"labels":[],"label_agreement":null},{"id":"W3170905867","doi":"10.3390/en14123417","title":"Impacts of Reverse Global Value Chain (GVC) Factors on Global Trade and Energy Market","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; China; International trade; International economics; Economics; Global value chain; Index (typography); Value (mathematics); Energy market; World economy; Business; Comparative advantage; Macroeconomics; Geography; Renewable energy","score_opus":0.02742973878099732,"score_gpt":0.20578365788694464,"score_spread":0.1783539191059473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170905867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92622054,0.00076784275,0.024318319,0.0012760301,0.00011250037,0.0001035497,0.0009812012,0.00013284864,0.046087135],"genre_scores_gemma":[0.9962077,0.00032625624,0.0016092302,0.00008950835,0.000009646403,0.000017647846,0.00023444359,0.00001877518,0.0014867696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994246,0.00020248393,0.000023259161,0.00008799272,0.00012958291,0.00013210556],"domain_scores_gemma":[0.99879164,0.0005939736,0.00027265822,0.000084052306,0.0001732095,0.000084470485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012071696,0.0007095656,0.00033899237,0.00070614816,0.0005068627,0.0022026876,0.00046823677,0.0008405237,0.005037418],"category_scores_gemma":[0.0038251814,0.00029907038,0.001166749,0.00083468255,0.0010305297,0.0019890384,0.001115748,0.0013667842,0.0002548613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002114262,0.00017404901,0.052598324,0.00018924417,0.00016386592,0.0010673102,0.0001137541,0.840617,0.0029191943,0.082245305,0.0025362193,0.017164323],"study_design_scores_gemma":[0.000112776346,0.00034549704,0.04956276,0.00008306,0.00021929524,0.00032258668,0.0011183887,0.8636299,0.0060736537,0.06472847,0.013683327,0.00012027647],"about_ca_topic_score_codex":0.021014564,"about_ca_topic_score_gemma":0.012264827,"teacher_disagreement_score":0.021014564,"about_ca_system_score_codex":0.0021264157,"about_ca_system_score_gemma":0.0016521087,"threshold_uncertainty_score":0.041784525},"labels":[],"label_agreement":null},{"id":"W3171961868","doi":"10.3390/en14123517","title":"An Investigation into the Energy-Efficient Motion of Autonomous Wheeled Mobile Robots","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy consumption; Motion planning; Mobile robot; Energy (signal processing); Battery (electricity); Motion (physics); Efficient energy use; Robot; Computer science; Work (physics); Automotive engineering; Key (lock); Process (computing); Motion control; Simulation; Engineering; Artificial intelligence; Electrical engineering; Mechanical engineering; Power (physics)","score_opus":0.010989025784217647,"score_gpt":0.23635535440475855,"score_spread":0.2253663286205409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171961868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17331797,0.0036724617,0.8072178,0.0003521383,0.000042998137,0.00007100115,0.00005510356,0.00016585253,0.015104679],"genre_scores_gemma":[0.928165,0.002504933,0.06519158,0.00003925497,0.000020108035,0.00006163648,0.000053300428,0.000028998678,0.0039351173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998808,0.0000338048,0.00000543331,0.000024564943,0.000043102624,0.000012225145],"domain_scores_gemma":[0.99975544,0.00017173776,0.000025128174,0.000015253979,0.000027487737,0.000004944974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019066948,0.00030861393,0.0002731807,0.00027183045,0.00018201275,0.00037408635,0.00035113853,0.00034363905,0.0009817979],"category_scores_gemma":[0.0008659257,0.000211287,0.00029426502,0.0003654038,0.00029405078,0.00061387545,0.00023698772,0.00019559168,0.0001268005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006858687,0.00005151107,0.0016096258,0.00031197027,0.000043070064,0.00013231084,0.0001337434,0.843609,0.014698361,0.037603308,0.00042015253,0.10131832],"study_design_scores_gemma":[0.00000705104,0.000106768246,0.0009960769,0.000021508777,0.000013054842,0.00006028248,0.000061841296,0.98556536,0.0030223017,0.0067196125,0.003418044,0.000008114251],"about_ca_topic_score_codex":0.0014023714,"about_ca_topic_score_gemma":0.0009402891,"teacher_disagreement_score":0.0014023714,"about_ca_system_score_codex":0.00022630572,"about_ca_system_score_gemma":0.00025694544,"threshold_uncertainty_score":0.0032844543},"labels":[],"label_agreement":null},{"id":"W3173639754","doi":"10.3390/en14123629","title":"Application of Machine Learning Method of Data-Driven Deep Learning Model to Predict Well Production Rate in the Shale Gas Reservoirs","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":52,"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":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; National Research Foundation","keywords":"Artificial neural network; Principal component analysis; Hydraulic fracturing; Perceptron; Hyperparameter; Computer science; Multivariate statistics; Oil shale; Artificial intelligence; Petroleum engineering; Data mining; Machine learning; Engineering","score_opus":0.017491126883048207,"score_gpt":0.26575644535877274,"score_spread":0.24826531847572453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173639754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1392485,0.00056447886,0.8556138,0.00041572357,0.00009613503,0.000060115715,0.000224577,0.0011779963,0.0025986095],"genre_scores_gemma":[0.94156355,0.00026119166,0.055351287,0.00007275116,0.000022597456,0.000089526,0.0003124085,0.000045208166,0.0022814048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986506,0.000026745918,0.000010353961,0.00004289646,0.00003467992,0.000020192885],"domain_scores_gemma":[0.99975103,0.00010036982,0.000023409537,0.000017052806,0.00009520031,0.000012954694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054148876,0.0006538065,0.00045894744,0.00045865576,0.00026814567,0.0005247796,0.0006319538,0.0006667401,0.000715167],"category_scores_gemma":[0.0009908018,0.00034843181,0.000596245,0.0003968581,0.00022159569,0.0006011093,0.00039678844,0.001001752,0.00014690119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024140052,0.000030904528,0.0018028172,0.00002647418,0.000027048187,0.00004091788,0.000019138268,0.96231306,0.0013616635,0.0010261356,0.00044515697,0.032882504],"study_design_scores_gemma":[6.186612e-7,0.0000025934573,0.000078459656,8.201575e-7,0.0000010070096,0.0000013465797,9.758438e-7,0.9995592,0.00017736414,0.00013964859,0.000036773406,0.0000011791765],"about_ca_topic_score_codex":0.020131154,"about_ca_topic_score_gemma":0.012757632,"teacher_disagreement_score":0.020131154,"about_ca_system_score_codex":0.0008278866,"about_ca_system_score_gemma":0.0013226754,"threshold_uncertainty_score":0.040027916},"labels":[],"label_agreement":null},{"id":"W3173700394","doi":"10.3390/en14133943","title":"Modelling Morphological Changes and Migration of Large Sand Waves in a Very Energetic Tidal Environment: Banks Strait, Australia","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Renewable Energy Agency; University of Queensland; University of Tasmania; Commonwealth Scientific and Industrial Research Organisation; Bangor University; Acadia University","keywords":"Sediment; Geology; Sediment transport; Oceanography; Seabed; Current (fluid); Sorting; Tidal range; Hydrology (agriculture); Geomorphology; Geotechnical engineering; Estuary","score_opus":0.02821885827389591,"score_gpt":0.21747179169798397,"score_spread":0.18925293342408805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173700394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972615,0.000014438349,0.002200924,0.00002227435,0.0000028160812,0.000012112699,0.0000507156,0.000013044683,0.00042210336],"genre_scores_gemma":[0.9978011,0.000030338075,0.0015642535,0.0000043349814,0.0000012750012,0.000009686224,0.0000811776,0.000005366425,0.0005023956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999448,0.000010993219,0.0000039092256,0.00001642656,0.0000074907425,0.000016309625],"domain_scores_gemma":[0.99985087,0.00004588266,0.0000317742,0.000012709177,0.000031562373,0.000027145225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017313375,0.00030743837,0.00019459648,0.00032479642,0.00029363812,0.00074405136,0.00047864116,0.00048637175,0.00050096057],"category_scores_gemma":[0.00054184324,0.0003190369,0.00037238607,0.00030232532,0.00038655283,0.00033307294,0.00034454642,0.00028274296,0.00010255927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059260314,0.00016042608,0.11340797,0.00003349025,0.000050534396,0.00038486213,0.00024469965,0.8704467,0.006030025,0.0005192598,0.00021486531,0.008447885],"study_design_scores_gemma":[0.0000062571016,0.000047497924,0.044634283,0.0000047658114,0.000011684143,0.000025115873,0.00015003087,0.9545698,0.00030518736,0.00008891426,0.00014827221,0.000008179016],"about_ca_topic_score_codex":0.14161871,"about_ca_topic_score_gemma":0.13223237,"teacher_disagreement_score":0.14161871,"about_ca_system_score_codex":0.0009396367,"about_ca_system_score_gemma":0.0012428795,"threshold_uncertainty_score":0.28158885},"labels":[],"label_agreement":null},{"id":"W3173889909","doi":"10.3390/en14133777","title":"Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Microgrid; Exergy; Wind power; Cogeneration; Turbine; Battery (electricity); Engineering; Desalination; Environmental science; Automotive engineering; Reliability engineering; Process engineering; Power (physics); Electricity generation; Renewable energy; Electrical engineering","score_opus":0.009781564961339962,"score_gpt":0.2216415575446466,"score_spread":0.21185999258330662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173889909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49799553,0.000608031,0.49135464,0.00015473217,0.000040490755,0.00010121478,0.00009088388,0.00023344716,0.009421],"genre_scores_gemma":[0.971377,0.00011438468,0.026952228,0.00001542527,0.0000040030163,0.00006450131,0.00004938436,0.000015882233,0.0014071455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990153,0.000026137872,0.000004980523,0.000021127886,0.000023733277,0.000022428061],"domain_scores_gemma":[0.99984586,0.00007358871,0.000028170385,0.000008126761,0.00003106136,0.000013151969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034060157,0.0005425887,0.0005754898,0.0003124317,0.0002679586,0.00063867203,0.00044539585,0.00037050314,0.0010917083],"category_scores_gemma":[0.00064834143,0.00025658336,0.00034445577,0.00037100803,0.00021791852,0.0005439097,0.0004173888,0.00026312214,0.00009270623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049481707,0.000018384413,0.0006295725,0.000027314567,0.000017658565,0.000037042388,0.000019229436,0.9833823,0.0016269549,0.00080884516,0.000120646655,0.013262498],"study_design_scores_gemma":[0.000006871456,0.000035683286,0.00017052061,0.000002186811,0.0000056982235,0.000007835805,0.00001255335,0.99881387,0.0004628872,0.00034764066,0.00013268397,0.0000015653267],"about_ca_topic_score_codex":0.0037670776,"about_ca_topic_score_gemma":0.003832265,"teacher_disagreement_score":0.0037670776,"about_ca_system_score_codex":0.00048515445,"about_ca_system_score_gemma":0.00062322547,"threshold_uncertainty_score":0.0074902773},"labels":[],"label_agreement":null},{"id":"W3173959109","doi":"10.3390/en14133977","title":"Improved Monitoring and Diagnosis of Transformer Solid Insulation Using Pertinent Chemical Indicators","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Dissolved gas analysis; Reliability engineering; Process engineering; Computer science; Transformer oil; Electrical engineering; Engineering; Voltage","score_opus":0.010351955404808598,"score_gpt":0.23142832264860178,"score_spread":0.22107636724379318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173959109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5592869,0.00093826745,0.43663204,0.00006912187,0.000045844718,0.000057209523,0.00014710322,0.00054538663,0.0022780336],"genre_scores_gemma":[0.96576524,0.00026444564,0.03343013,0.000011520973,0.00001133389,0.000010968528,0.000053002335,0.0000063503494,0.0004471708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998128,0.000032372358,0.000012709494,0.000065114284,0.00005989326,0.000017000304],"domain_scores_gemma":[0.9998511,0.000041870102,0.00003624336,0.0000103641305,0.000051589588,0.000008748256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024141802,0.0005745564,0.00034577728,0.00085548,0.00010809718,0.00032198094,0.00021933831,0.00032330578,0.00027799624],"category_scores_gemma":[0.0004758754,0.00012552769,0.00016281015,0.0005260472,0.00015625462,0.0005081541,0.0002390843,0.00022943428,0.00010659412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000571467,0.0002735809,0.030281883,0.00029942358,0.000055443103,0.00023737927,0.00013347976,0.05730966,0.56982064,0.00091615616,0.00035532672,0.33974555],"study_design_scores_gemma":[0.00001768769,0.00035294672,0.022209287,0.000016798786,0.000080521975,0.00032502605,0.000075774806,0.7346841,0.24048728,0.000739337,0.000983465,0.000027733093],"about_ca_topic_score_codex":0.0009126354,"about_ca_topic_score_gemma":0.0013008143,"teacher_disagreement_score":0.0009126354,"about_ca_system_score_codex":0.00018871701,"about_ca_system_score_gemma":0.00012975042,"threshold_uncertainty_score":0.0018146038},"labels":[],"label_agreement":null},{"id":"W3174043923","doi":"10.3390/en14123655","title":"Common Perceptions about the Use of Fillers in Silicone Rubber Insulation Housing Composites","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","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":"National Research Council Canada","funders":"","keywords":"Filler (materials); Silicone rubber; Composite material; Materials science; Electric arc; Natural rubber; Silicone; Electrode; Chemistry","score_opus":0.040676340046078875,"score_gpt":0.2640255887592524,"score_spread":0.22334924871317355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174043923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9203584,0.036626365,0.015689436,0.009342377,0.00060054456,0.00007338981,0.000047614503,0.000091970716,0.017169857],"genre_scores_gemma":[0.97399455,0.016591184,0.0046205227,0.0014617469,0.00014090554,0.000020005384,0.000029970128,0.00004255135,0.003098505],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9943024,0.002197382,0.00039357645,0.000346941,0.0024551325,0.00030463884],"domain_scores_gemma":[0.9902772,0.0065398,0.0013548248,0.00035370767,0.0011575804,0.00031693216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067077,0.0003625467,0.00042244847,0.0007207082,0.0012294188,0.0016191192,0.0004954306,0.0011506797,0.0009003746],"category_scores_gemma":[0.009418994,0.00024107278,0.00038386625,0.00050057005,0.0035386395,0.0026087128,0.0014317817,0.0018272271,0.00017528552],"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":[0.00050057675,0.0002679218,0.04001041,0.004252343,0.00020025733,0.006664781,0.32675773,0.002233851,0.104044,0.028872749,0.0050414912,0.48115382],"study_design_scores_gemma":[0.000027099892,0.0033115793,0.05017237,0.0038230866,0.00028903052,0.03445076,0.5029347,0.0016988254,0.058217354,0.01582158,0.3286441,0.0006095276],"about_ca_topic_score_codex":0.0015158455,"about_ca_topic_score_gemma":0.0017605351,"teacher_disagreement_score":0.0067077,"about_ca_system_score_codex":0.0010704354,"about_ca_system_score_gemma":0.0010403899,"threshold_uncertainty_score":0.03547412},"labels":[],"label_agreement":null},{"id":"W3174092725","doi":"10.3390/en14123654","title":"Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Electric System Operator","keywords":"Computer science; Distributed computing; Electric power system; Field (mathematics); Artificial intelligence; Machine learning; Distributed learning; Anomaly detection; Power (physics)","score_opus":0.04011431316970091,"score_gpt":0.34112958507111935,"score_spread":0.3010152719014184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174092725","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":[0.00021638628,0.99007773,0.0056015644,0.00084266614,0.00029988989,0.000018004757,0.00002831206,0.000035092875,0.0028802569],"genre_scores_gemma":[0.002353547,0.9925436,0.0035960416,0.0002574717,0.00049243454,0.000020753849,0.00003942861,0.0000117187265,0.0006851551],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917704,0.00018485724,0.00011048788,0.00014723676,0.0003419905,0.000038293063],"domain_scores_gemma":[0.9966635,0.0024579922,0.00013619033,0.00010305814,0.00057922764,0.000059994498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019333306,0.001150996,0.0016401003,0.0029426701,0.0004488501,0.0018842922,0.0014342921,0.0015647918,0.003990121],"category_scores_gemma":[0.003571515,0.0006558654,0.00078184454,0.0066414303,0.0010011457,0.003669722,0.0009684764,0.0020157497,0.0020517567],"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":[0.000030127287,0.00008501395,0.00028946548,0.015335119,0.0000636759,0.00008819968,0.00012176059,0.0026011018,0.00045551904,0.024544664,0.016752977,0.9396324],"study_design_scores_gemma":[0.000015242656,0.00013162597,0.0008738142,0.009581161,0.00014065037,0.00063334,0.00024179842,0.0034065372,0.0006783927,0.0320819,0.95214945,0.00006622206],"about_ca_topic_score_codex":0.0017339175,"about_ca_topic_score_gemma":0.0019982764,"teacher_disagreement_score":0.003990121,"about_ca_system_score_codex":0.00077166304,"about_ca_system_score_gemma":0.0017232528,"threshold_uncertainty_score":0.013348281},"labels":[],"label_agreement":null},{"id":"W3174340958","doi":"10.3390/en14133797","title":"CFD–DEM Simulation of Sand-Retention Mechanisms in Slurry Flow","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; RGL Reservoir Management","keywords":"Computational fluid dynamics; Slurry; CFD-DEM; Mechanics; Laminar flow; Discrete element method; Particle (ecology); Flow (mathematics); Particle size; Fluid dynamics; Materials science; Engineering; Geology; Physics; Composite material; Chemical engineering","score_opus":0.009973043577544966,"score_gpt":0.20712019480371294,"score_spread":0.19714715122616797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174340958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83684987,0.00058259873,0.12805049,0.0004898988,0.00016684888,0.00020070214,0.002032839,0.0013313402,0.030295463],"genre_scores_gemma":[0.9770858,0.00016831003,0.019110177,0.00004614915,0.000016124779,0.00008636848,0.0006844808,0.000043819997,0.0027587197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999856,0.00003019915,0.0000103895545,0.00002067069,0.000043232547,0.000039529055],"domain_scores_gemma":[0.99970645,0.00014424024,0.000028730045,0.000019422154,0.00006698589,0.000034187084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033555497,0.0005657368,0.0006088847,0.0005468073,0.0004884986,0.00073783734,0.00069098186,0.0013377749,0.0017968074],"category_scores_gemma":[0.00075564324,0.00029905615,0.00054568815,0.0005432037,0.0005558194,0.0004602186,0.0005121747,0.0005356771,0.00021014422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007065491,0.00005855013,0.0028288625,0.000046354,0.000013230783,0.00014231855,0.000051656414,0.9877478,0.003907173,0.0016198503,0.00035519258,0.0031582795],"study_design_scores_gemma":[0.000009192187,0.000010674845,0.00045703165,0.000003450336,0.0000021566134,0.00000863349,0.000013812825,0.99822575,0.0008183006,0.00016644654,0.00028042367,0.000004157698],"about_ca_topic_score_codex":0.012896552,"about_ca_topic_score_gemma":0.005960535,"teacher_disagreement_score":0.012896552,"about_ca_system_score_codex":0.00079814973,"about_ca_system_score_gemma":0.0008798912,"threshold_uncertainty_score":0.025642931},"labels":[],"label_agreement":null},{"id":"W3174419877","doi":"10.3390/en14133935","title":"FEHCA: A Fault-Tolerant Energy-Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Wireless sensor network; Cluster analysis; Computer science; Fault tolerance; Efficient energy use; Key distribution in wireless sensor networks; Wireless; Distributed computing; Node (physics); Hierarchical clustering; Algorithm; Computer network; Wireless network; Engineering; Telecommunications; Electrical engineering; Artificial intelligence","score_opus":0.01060054146118589,"score_gpt":0.22561522856072597,"score_spread":0.21501468709954008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174419877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011202418,0.00069880433,0.98460984,0.00028931862,0.000091550086,0.0001728492,0.000097968754,0.0010419191,0.0017953096],"genre_scores_gemma":[0.31067404,0.0004704744,0.68316317,0.00023935684,0.00005873484,0.00038015918,0.00046819347,0.000121977595,0.0044239764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995516,0.00009416388,0.000025367443,0.00007290535,0.00020732371,0.000048646278],"domain_scores_gemma":[0.999564,0.00012502402,0.00005439844,0.0000630785,0.00016666047,0.000026754291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005842856,0.0006693473,0.0005828822,0.0009833093,0.001120721,0.0004976504,0.0015925734,0.0010967139,0.0014080905],"category_scores_gemma":[0.0022405856,0.00023398852,0.00045818734,0.0009563818,0.00044184682,0.0011434713,0.0009526369,0.0008623292,0.0005164081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018551308,0.00010064341,0.0010107415,0.0001709105,0.00008512245,0.00009363228,0.00021064431,0.5724982,0.01345454,0.014018348,0.00822253,0.38994923],"study_design_scores_gemma":[0.000031997544,0.00008125067,0.0003382427,0.000014665589,0.000011756721,0.0000916852,0.000034148794,0.9824426,0.0044371514,0.006663619,0.0058307797,0.000022127133],"about_ca_topic_score_codex":0.008803541,"about_ca_topic_score_gemma":0.010595269,"teacher_disagreement_score":0.008803541,"about_ca_system_score_codex":0.0010012015,"about_ca_system_score_gemma":0.0014314088,"threshold_uncertainty_score":0.017504632},"labels":[],"label_agreement":null},{"id":"W3174557638","doi":"10.3390/en14123623","title":"Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autoencoder; Deep learning; Convolutional neural network; Pattern recognition (psychology); Fault detection and isolation; Unsupervised learning","score_opus":0.0062447829567685385,"score_gpt":0.20725856006253335,"score_spread":0.20101377710576482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174557638","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":[0.039183408,0.0009797817,0.9564079,0.0002535143,0.000055043944,0.000023493165,0.00013802329,0.0011143541,0.0018444464],"genre_scores_gemma":[0.83304226,0.0009678473,0.15971759,0.00024251777,0.00007546593,0.000061247374,0.00063426234,0.000089193476,0.005169668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998029,0.000039297414,0.000011024171,0.000053564494,0.000059860748,0.000033472465],"domain_scores_gemma":[0.9994222,0.00030789943,0.00006277767,0.000056909517,0.00013103482,0.000019225738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064853264,0.0007801474,0.00044699872,0.00042202362,0.00015639386,0.00045680138,0.0007612496,0.00071547175,0.0010562761],"category_scores_gemma":[0.0018158123,0.00035655178,0.0003976653,0.00045076202,0.0003571735,0.0007482839,0.00049071637,0.0013243877,0.0003512033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009078338,0.00010060741,0.0016567867,0.00007164776,0.00007911179,0.00007316757,0.000034884677,0.777615,0.007627272,0.0039001664,0.0021488653,0.20660168],"study_design_scores_gemma":[0.0000012859355,0.0000070930587,0.00018636615,0.0000031121494,0.0000032416092,0.000005618514,0.0000017445011,0.998024,0.0008660275,0.00072607363,0.00017332843,0.000002116965],"about_ca_topic_score_codex":0.009550545,"about_ca_topic_score_gemma":0.009773639,"teacher_disagreement_score":0.009550545,"about_ca_system_score_codex":0.0006979317,"about_ca_system_score_gemma":0.00059813407,"threshold_uncertainty_score":0.01898992},"labels":[],"label_agreement":null},{"id":"W3174705767","doi":"10.3390/en14133875","title":"Parametric Regression Applied for Determination of Electrical Parameters of Synchronous and Induction Generators Operating in Parallel on the Electrical Energy Repowering System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Division of Graduate Education; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Goiás; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Parametric statistics; Harmonic; Generator (circuit theory); Induction generator; Control theory (sociology); Electric generator; Electrical network; Electric power system; Permanent magnet synchronous generator; Computer science; Power (physics); Control engineering; Engineering; Voltage; Electrical engineering; Mathematics","score_opus":0.019776081295489648,"score_gpt":0.23372802726857878,"score_spread":0.21395194597308914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174705767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49935317,0.0003302747,0.4938441,0.00006371139,0.00003181245,0.00009507621,0.00026680436,0.001014537,0.0050005843],"genre_scores_gemma":[0.9863131,0.0000840051,0.012972223,0.000004610377,0.000003149649,0.000042725864,0.00009541965,0.000038320188,0.00044631943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939036,0.00021479468,0.000030683306,0.0001311857,0.00018464527,0.00004824009],"domain_scores_gemma":[0.99857175,0.00085325935,0.00015494051,0.00022539133,0.00018362021,0.00001087683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079289946,0.00062906364,0.00040770348,0.0008430335,0.00020039067,0.00042383707,0.00042618086,0.00038692358,0.001306689],"category_scores_gemma":[0.0038835872,0.00022360796,0.0005434974,0.000881104,0.00021620943,0.0004997189,0.00031907004,0.0005372631,0.0003876154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003032924,0.00019919958,0.013681423,0.00034200493,0.00012462691,0.00039906215,0.0003569518,0.71491784,0.082457274,0.00278987,0.000521312,0.1839071],"study_design_scores_gemma":[0.000009453084,0.0003588479,0.009315404,0.000019878555,0.000048470716,0.00017345636,0.0001199259,0.93494123,0.052732468,0.0009045635,0.0013399189,0.000036415997],"about_ca_topic_score_codex":0.0010545097,"about_ca_topic_score_gemma":0.00070978573,"teacher_disagreement_score":0.001306689,"about_ca_system_score_codex":0.00018482756,"about_ca_system_score_gemma":0.000236749,"threshold_uncertainty_score":0.0043712854},"labels":[],"label_agreement":null},{"id":"W3175672886","doi":"10.3390/en14133840","title":"A Comparative Study on Thermochemical Valorization Routes for Spent Coffee Grounds","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrothermal liquefaction; Raw material; Coffee grounds; Biodiesel production; Extraction (chemistry); Biodiesel; Pulp and paper industry; Environmental science; Biofuel; Waste management; Yield (engineering); Chemistry; Food science; Materials science; Engineering; Organic chemistry","score_opus":0.026084556891770645,"score_gpt":0.2601700298942529,"score_spread":0.23408547300248228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175672886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987653,0.0047677443,0.0035854056,0.00006843137,0.00003548873,0.00006310865,0.00023017771,0.000049781032,0.003546799],"genre_scores_gemma":[0.987045,0.0041444376,0.0061345976,0.000038453985,0.000009964188,0.000044512042,0.00026335605,0.00003972413,0.002280022],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982446,0.000021637403,0.000015509988,0.00003902429,0.000051828465,0.00004754351],"domain_scores_gemma":[0.9999008,0.00002129435,0.00002956129,0.000011888724,0.000025726487,0.000010733522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021600894,0.00044459902,0.00029629082,0.0004675918,0.00022396022,0.0004236139,0.00027779752,0.0003105797,0.0013641228],"category_scores_gemma":[0.00032312612,0.0002036449,0.0005589022,0.00045684123,0.0001826177,0.0005930685,0.00024310256,0.00045843588,0.0003812821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002705053,0.000053145188,0.0004265749,0.00047321082,0.000029964529,0.00014061602,0.00007913484,0.0004884124,0.98537064,0.0002904623,0.00008372402,0.012293638],"study_design_scores_gemma":[0.000009013304,0.000548192,0.0020572785,0.000019714298,0.00004440919,0.00012653437,0.00006832772,0.000716319,0.99199194,0.000039493978,0.0043642744,0.000014414501],"about_ca_topic_score_codex":0.0008987714,"about_ca_topic_score_gemma":0.0031962574,"teacher_disagreement_score":0.0013641228,"about_ca_system_score_codex":0.0003164942,"about_ca_system_score_gemma":0.00024716428,"threshold_uncertainty_score":0.004563391},"labels":[],"label_agreement":null},{"id":"W3176043588","doi":"10.3390/en14133868","title":"A Physics-Based Analytical Model for Current–Voltage Characteristics of Perovskite Solar Cells Incorporating Bulk Recombination","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Perovskite (structure); Theory of solar cells; Charge carrier; Energy conversion efficiency; Voltage; Perovskite solar cell; Carrier lifetime; Current (fluid); Computational physics; Optoelectronics; Materials science; Solar cell; Physics; Power (physics); Solar cell efficiency; Chemistry; Thermodynamics; Quantum mechanics; Silicon","score_opus":0.021273903419208873,"score_gpt":0.24671165072924595,"score_spread":0.22543774731003707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176043588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01894587,0.0016358986,0.95633453,0.00040112785,0.00017235421,0.00024184868,0.0005796322,0.0007937576,0.020894974],"genre_scores_gemma":[0.78637815,0.0054966505,0.17033257,0.00046303894,0.00032578054,0.0010935769,0.0011357744,0.00038470072,0.034389697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997564,0.000025987045,0.000016830661,0.000048471775,0.00012725034,0.000025113895],"domain_scores_gemma":[0.9998362,0.000052945245,0.000017444843,0.000023829427,0.00006467572,0.0000048421425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030947753,0.0008938437,0.00095743715,0.0007005779,0.00058258616,0.0012297027,0.0025765502,0.0013078126,0.002093178],"category_scores_gemma":[0.00093974825,0.0004450536,0.0012004434,0.0007709541,0.00055801513,0.002346624,0.0003943171,0.0011911206,0.0012032344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052744093,0.00013576966,0.00044984385,0.00043784748,0.00004739543,0.00048388727,0.0002745347,0.7817571,0.088316835,0.08881722,0.002441139,0.03678561],"study_design_scores_gemma":[0.0000063164357,0.000030986364,0.00009795302,0.000014220656,0.000011767233,0.00013452585,0.000012509788,0.98471373,0.004168824,0.007555276,0.0032419602,0.000011923076],"about_ca_topic_score_codex":0.0026637488,"about_ca_topic_score_gemma":0.0023690804,"teacher_disagreement_score":0.0026637488,"about_ca_system_score_codex":0.0011660152,"about_ca_system_score_gemma":0.0011441496,"threshold_uncertainty_score":0.008460104},"labels":[],"label_agreement":null},{"id":"W3177512374","doi":"10.3390/en14134052","title":"A Study of Moist Air Condensation Characteristics in a Transonic Flow System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transonic; Condensation; Mach number; Relative humidity; Supersaturation; Nucleation; Thermodynamics; Mechanics; Nozzle; Humidity; Meteorology; Materials science; Chemistry; Aerodynamics; Physics","score_opus":0.009148019111098095,"score_gpt":0.20144388990159082,"score_spread":0.19229587079049273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177512374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98953116,0.00023330403,0.00895782,0.000014621188,0.0000069525818,0.00002889636,0.00005310031,0.00008235293,0.0010916741],"genre_scores_gemma":[0.9984189,0.00007122996,0.0011074382,0.0000038095445,0.0000024631995,0.000005744653,0.000047125544,0.00000692689,0.0003362205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999069,0.000014922874,0.00000468677,0.000021331067,0.00003231414,0.000019856401],"domain_scores_gemma":[0.999728,0.00011731286,0.000037665464,0.000018986297,0.000075253556,0.000022857766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022371714,0.0002078066,0.0002897937,0.00038821762,0.00026297342,0.00027662987,0.00017181745,0.00022486551,0.000719984],"category_scores_gemma":[0.00051471416,0.000096770505,0.00020780621,0.00025826335,0.00028694927,0.00036234994,0.00019226727,0.00022690314,0.00008955414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003566643,0.000107396416,0.015227498,0.00013104832,0.000026645344,0.0003829536,0.00031886136,0.02899366,0.93320096,0.0013524747,0.00017160915,0.019730112],"study_design_scores_gemma":[0.00003647591,0.0015405037,0.04715254,0.000013967486,0.000036056455,0.00028777585,0.00018665062,0.6232922,0.32544738,0.00036033444,0.0015915858,0.00005452702],"about_ca_topic_score_codex":0.004325949,"about_ca_topic_score_gemma":0.0018156801,"teacher_disagreement_score":0.004325949,"about_ca_system_score_codex":0.00026912484,"about_ca_system_score_gemma":0.00021164831,"threshold_uncertainty_score":0.008601546},"labels":[],"label_agreement":null},{"id":"W3178826534","doi":"10.3390/en14144111","title":"Dynamic Stability of Wind Power Flow and Network Frequency for a High Penetration Wind-Based Energy Storage System Using Fuzzy Logic Controller","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Wind power; Control theory (sociology); Electric power system; Renewable energy; Controller (irrigation); Turbine; Automatic frequency control; Energy storage; Engineering; PID controller; Dynamic demand; Automotive engineering; Computer science; Power (physics); Control engineering; Electrical engineering; Temperature control; Mechanical engineering; Control (management); Physics","score_opus":0.006330085591138533,"score_gpt":0.1852153309439635,"score_spread":0.17888524535282496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178826534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58843493,0.00040823277,0.39922845,0.00026453103,0.00010068839,0.00015059406,0.00008400172,0.00078956375,0.01053904],"genre_scores_gemma":[0.994873,0.000040383813,0.0044993046,0.000008422904,0.0000034575537,0.000023125056,0.000013043259,0.0000029732387,0.0005363362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998734,0.0000223952,0.000014573973,0.00002937209,0.000044769582,0.000015491796],"domain_scores_gemma":[0.9998136,0.00006706044,0.000039225237,0.00001169417,0.00005982937,0.000008648385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033977296,0.00039915415,0.00034989577,0.00019710645,0.00041009331,0.0005740304,0.0003551155,0.0003229463,0.0010419671],"category_scores_gemma":[0.00040021352,0.00015652349,0.0002615282,0.00015752741,0.00021454421,0.00024072571,0.00016955653,0.00029524718,0.00008684355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005919642,0.00019618124,0.002602783,0.00029595205,0.00009085645,0.00032493548,0.00024908854,0.8313765,0.078967534,0.0025687849,0.0010339726,0.08170147],"study_design_scores_gemma":[0.000023853772,0.00015621047,0.00057084544,0.0000058741525,0.00001862081,0.000025570724,0.000014008794,0.9936515,0.005190259,0.00013663163,0.00020001149,0.00000656097],"about_ca_topic_score_codex":0.0056501916,"about_ca_topic_score_gemma":0.005909139,"teacher_disagreement_score":0.0056501916,"about_ca_system_score_codex":0.00037413448,"about_ca_system_score_gemma":0.00042078536,"threshold_uncertainty_score":0.0112345815},"labels":[],"label_agreement":null},{"id":"W3179391264","doi":"10.3390/en14144149","title":"Hydrate Phase Transition Kinetic Modeling for Nature and Industry–Where Are We and Where Do We Go?","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","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 Calgary","funders":"","keywords":"Hydrate; Nucleation; Clathrate hydrate; Thermodynamics; Methane; Natural gas; Kinetic energy; Chemistry; Phase transition; Physics; Organic chemistry","score_opus":0.013253256724410321,"score_gpt":0.24532940832893466,"score_spread":0.23207615160452433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179391264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067133226,0.040820036,0.8273959,0.011282604,0.0010526407,0.00010831642,0.0011828184,0.0010022431,0.05002216],"genre_scores_gemma":[0.8185349,0.04923614,0.093182705,0.0008556335,0.0008046163,0.00043408896,0.0014610026,0.00063374423,0.034857094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998659,0.000032706805,0.000007178897,0.000024881576,0.00005114427,0.000018233044],"domain_scores_gemma":[0.9998393,0.000065383596,0.00002135857,0.00001888077,0.000033645934,0.000021473763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004404889,0.00047119302,0.00053897005,0.00039408862,0.00046131577,0.0011562614,0.0011648984,0.0010032118,0.0022175277],"category_scores_gemma":[0.00090877275,0.00029399135,0.00074583676,0.00045261715,0.0009123034,0.0021488224,0.0008666997,0.0012450088,0.00077360676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044693785,0.000043276916,0.0013202718,0.000414161,0.00004319259,0.00013708055,0.00014345108,0.5793042,0.010134789,0.36986876,0.0068521486,0.031693988],"study_design_scores_gemma":[0.0000066931366,0.00001971969,0.00037896517,0.00005492657,0.00001251459,0.000046483066,0.000049406513,0.854869,0.001765831,0.1187905,0.023982886,0.000023127011],"about_ca_topic_score_codex":0.004758193,"about_ca_topic_score_gemma":0.002584202,"teacher_disagreement_score":0.004758193,"about_ca_system_score_codex":0.0010077605,"about_ca_system_score_gemma":0.0009558944,"threshold_uncertainty_score":0.009460986},"labels":[],"label_agreement":null},{"id":"W3179548697","doi":"10.3390/en14185960","title":"A Comprehensive Review of Lithium-Ion Cell Temperature Estimation Techniques Applicable to Health-Conscious Fast Charging and Smart Battery Management Systems","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); State of health; Computer science; State of charge; Adaptability; Lithium-ion battery; Reliability engineering; Automotive engineering; Control engineering; Engineering; Power (physics)","score_opus":0.020678312933990594,"score_gpt":0.30704019018941126,"score_spread":0.28636187725542067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179548697","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011608524,0.9744815,0.015755713,0.00035329108,0.00087818486,0.000048183494,0.00013782263,0.00014089119,0.007043502],"genre_scores_gemma":[0.00910857,0.97564924,0.0090714805,0.0003727895,0.0009323987,0.00006389688,0.00030970096,0.00004419499,0.004447757],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994461,0.000079202815,0.000099995494,0.00012001691,0.00021972519,0.000035071338],"domain_scores_gemma":[0.9992508,0.00035343142,0.000070438946,0.00004193037,0.00026177804,0.00002156658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510458,0.001222907,0.0011734946,0.0022031413,0.000354398,0.0013739648,0.0012724742,0.0010199818,0.0047513833],"category_scores_gemma":[0.0013297619,0.0005513098,0.00095866807,0.0032940502,0.00036116887,0.0024387876,0.0007017824,0.0009822934,0.0025592258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000920253,0.000086609696,0.0005827005,0.02438338,0.00012768371,0.00024713643,0.00013334808,0.0038816014,0.0067242607,0.00876224,0.02594833,0.92903066],"study_design_scores_gemma":[0.000008818975,0.00025990893,0.0015054704,0.0039504347,0.00025621714,0.0012295162,0.00011757299,0.0057765977,0.0046816193,0.0038409547,0.97828406,0.00008877964],"about_ca_topic_score_codex":0.0012587371,"about_ca_topic_score_gemma":0.0010539282,"teacher_disagreement_score":0.0047513833,"about_ca_system_score_codex":0.00042678622,"about_ca_system_score_gemma":0.0009009337,"threshold_uncertainty_score":0.01589495},"labels":[],"label_agreement":null},{"id":"W3179949160","doi":"10.3390/en14144187","title":"Modeling and Analysis of Heat Dissipation for Liquid Cooling Lithium-Ion Batteries","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Battery (electricity); Battery pack; Inlet; Materials science; Heat transfer; Mechanics; Water cooling; Nuclear engineering; Computer cooling; Work (physics); Thermal; Lithium-ion battery; Volumetric flow rate; Range (aeronautics); Thermodynamics; Mechanical engineering; Thermal management of electronic devices and systems; Engineering; Composite material; Physics","score_opus":0.019782621909625354,"score_gpt":0.2786001594150072,"score_spread":0.25881753750538183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179949160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19624726,0.001779737,0.76233274,0.0005109006,0.00015330628,0.0001980169,0.0002882907,0.0004813585,0.03800838],"genre_scores_gemma":[0.97941774,0.00056369865,0.010090266,0.000040245657,0.000017353952,0.00016251777,0.00006857262,0.000056345703,0.009583317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998865,0.00002612791,0.0000058100427,0.00001553341,0.00004492782,0.000020984677],"domain_scores_gemma":[0.9998996,0.000045422654,0.000014089193,0.000008168397,0.000027804468,0.00000488476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024165682,0.0004415378,0.00048880785,0.00028032588,0.00038425674,0.00067670684,0.0007220612,0.00079084694,0.002075653],"category_scores_gemma":[0.00059263,0.0002554817,0.0006289605,0.0002947356,0.0004711238,0.0007230148,0.0003766158,0.00040379612,0.0002749877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036238664,0.000018224171,0.00050905935,0.000074906595,0.000009239824,0.0000771224,0.00006522152,0.97994584,0.0103408275,0.005213086,0.00022586809,0.0034842843],"study_design_scores_gemma":[0.0000021915064,0.000008333723,0.00009139855,0.000002814095,0.0000016147156,0.0000064044807,0.0000072140174,0.998716,0.0005936869,0.000297948,0.00027020907,0.0000022723282],"about_ca_topic_score_codex":0.006024075,"about_ca_topic_score_gemma":0.0031271114,"teacher_disagreement_score":0.006024075,"about_ca_system_score_codex":0.000785557,"about_ca_system_score_gemma":0.00069771183,"threshold_uncertainty_score":0.011977971},"labels":[],"label_agreement":null},{"id":"W3180042061","doi":"10.3390/en14134057","title":"Integrating Novel Microchannel-Based Solar Collectors with a Water-to-Water Heat Pump for Cold-Climate Domestic Hot Water Supply, Including Related Solar Systems Comparisons","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"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","keywords":"TRNSYS; Photovoltaic thermal hybrid solar collector; Photovoltaic system; Environmental science; Nuclear engineering; Thermal energy storage; Microchannel; Solar energy; Solar water heating; Solar air conditioning; Heat exchanger; Process engineering; Thermal; Renewable energy; Environmental engineering; Materials science; Engineering; Meteorology; Mechanical engineering; Thermodynamics; Electrical engineering; Physics","score_opus":0.022259814474404015,"score_gpt":0.24131004000109726,"score_spread":0.21905022552669326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180042061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9357436,0.0018206437,0.05826282,0.00007758569,0.000088973895,0.00009448217,0.00026106156,0.00060658355,0.0030441813],"genre_scores_gemma":[0.98015267,0.00044164146,0.018109001,0.000010345638,0.000008265948,0.00002802031,0.000048405334,0.0000132188015,0.0011884347],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998592,0.000010275707,0.0000071585578,0.00004281026,0.00006526889,0.000015175319],"domain_scores_gemma":[0.99991536,0.000019804485,0.000014207154,0.000012144063,0.00003254814,0.0000059706836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017551264,0.00020335792,0.0002461256,0.00022694706,0.00029243846,0.00035905652,0.00040571476,0.00025733598,0.0007880605],"category_scores_gemma":[0.00019666454,0.00022007128,0.00046430223,0.00027093754,0.00012320928,0.00040904438,0.00020852887,0.00021980557,0.00013244562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023044707,0.00010054438,0.00409917,0.00031223882,0.000054867312,0.00011532737,0.000087898916,0.016400691,0.9247712,0.0010538584,0.00049839175,0.05227535],"study_design_scores_gemma":[0.000021978765,0.0003448167,0.0072821616,0.000010170901,0.00007706481,0.00015128526,0.00004522369,0.10925741,0.8763006,0.00016462505,0.0063149375,0.000029766832],"about_ca_topic_score_codex":0.003907228,"about_ca_topic_score_gemma":0.0070301755,"teacher_disagreement_score":0.003907228,"about_ca_system_score_codex":0.0005152112,"about_ca_system_score_gemma":0.0005134191,"threshold_uncertainty_score":0.0077689886},"labels":[],"label_agreement":null},{"id":"W3181117147","doi":"10.3390/en14144241","title":"Characterization of m-GaN and a-GaN Crystallographic Planes after Being Chemically Etched in TMAH Solution","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Etching (microfabrication); Cuboid; Materials science; Plane (geometry); Crystal (programming language); Surface roughness; Gallium nitride; Surface finish; Crystallography; Optoelectronics; Analytical Chemistry (journal); Nanotechnology; Geometry; Chemistry; Layer (electronics); Composite material","score_opus":0.005408856426005981,"score_gpt":0.19982934337603384,"score_spread":0.19442048695002787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181117147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99730814,0.00031386758,0.0015282928,0.000016720818,0.0000074014,0.000008708066,0.00014403395,0.000010412682,0.00066250697],"genre_scores_gemma":[0.9956702,0.00029882422,0.0027406751,0.000015872985,0.00000406881,0.000014143976,0.00016231506,0.000007874666,0.0010860434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995315,0.0000041726857,0.000002449559,0.000009789951,0.000021025839,0.000009381464],"domain_scores_gemma":[0.99992144,0.000018781657,0.000022084323,0.0000064440587,0.000024744735,0.0000065188565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008552223,0.000120875804,0.00008891866,0.00011933884,0.000108604996,0.00013394839,0.000106657055,0.00019287762,0.0004918147],"category_scores_gemma":[0.00015599976,0.00007959388,0.00011984723,0.000118103744,0.00012049511,0.00010783917,0.00005936832,0.00020902892,0.00010568333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015274698,0.0000034583409,0.00044057023,0.000015302676,0.0000018602213,0.00002106403,0.000019871524,0.00004106335,0.99883217,0.000026601438,0.000008638422,0.00057409506],"study_design_scores_gemma":[0.000003992775,0.00009780527,0.009074598,0.0000028740756,0.000007708528,0.000101169346,0.00006628611,0.0010882348,0.98910075,0.000018811108,0.00043378465,0.000004035924],"about_ca_topic_score_codex":0.0012593991,"about_ca_topic_score_gemma":0.0015318517,"teacher_disagreement_score":0.0012593991,"about_ca_system_score_codex":0.0001048079,"about_ca_system_score_gemma":0.00009520542,"threshold_uncertainty_score":0.0025041103},"labels":[],"label_agreement":null},{"id":"W3181235032","doi":"10.3390/en14144067","title":"Balancing Health, Economy and Climate Risk in a Multi-Crisis","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sustenance; Greenhouse gas; Livelihood; Climate change; Sustainability; Index (typography); Business; Population; Natural resource economics; Environmental resource management; Sustainable development; Economics; Geography; Agriculture; Political science; Environmental health; Medicine","score_opus":0.06530545107290658,"score_gpt":0.2654562057267519,"score_spread":0.2001507546538453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181235032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96001214,0.0017818855,0.0051555084,0.00556205,0.000090850415,0.00005591957,0.00062903215,0.000049388957,0.02666323],"genre_scores_gemma":[0.9975242,0.00048688817,0.0011107197,0.000194034,0.00003234005,0.000015080135,0.00012524062,0.000005454189,0.0005059421],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987514,0.0006657221,0.000054329594,0.000087401306,0.00020191651,0.00023930024],"domain_scores_gemma":[0.9986494,0.00032606273,0.00047488793,0.00006319351,0.00024193566,0.0002445962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018712779,0.0004113706,0.00046463273,0.001824823,0.0010859965,0.0043350817,0.0003081297,0.0006470319,0.0016503],"category_scores_gemma":[0.0023126241,0.00015004829,0.000311268,0.0028530767,0.0017415613,0.0035252892,0.0035819104,0.0010354024,0.00020008365],"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":[0.0010049768,0.00041751936,0.7447828,0.00045980024,0.0003038648,0.0027417426,0.01739869,0.025642633,0.0032213328,0.07024092,0.012170158,0.121615626],"study_design_scores_gemma":[0.000031679683,0.0007205733,0.7636266,0.0005011876,0.00013441818,0.0016010259,0.11825269,0.026926361,0.0025267103,0.047401555,0.0381252,0.0001520728],"about_ca_topic_score_codex":0.0045444677,"about_ca_topic_score_gemma":0.0049818656,"teacher_disagreement_score":0.0045444677,"about_ca_system_score_codex":0.001564403,"about_ca_system_score_gemma":0.0015986406,"threshold_uncertainty_score":0.011350572},"labels":[],"label_agreement":null},{"id":"W3181536868","doi":"10.3390/en14144074","title":"A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":236,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Charge (physics); Coulomb; State (computer science); Battery (electricity); Approximation error; Physics; Statistical physics; Computational physics; Computer science; Algorithm; Quantum mechanics; Power (physics)","score_opus":0.017051738867973433,"score_gpt":0.28418944924973366,"score_spread":0.2671377103817602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181536868","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003781979,0.0026645795,0.9877807,0.0013813443,0.00029963502,0.00002417133,0.000026841888,0.0001058661,0.0039348514],"genre_scores_gemma":[0.5480635,0.013029276,0.4263686,0.0015413131,0.0014109085,0.00019801292,0.00017512424,0.00033481463,0.008878487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99630773,0.0012452615,0.0002258843,0.00049323885,0.0015842712,0.00014362707],"domain_scores_gemma":[0.9919844,0.0055079632,0.00035573138,0.00067272154,0.0013824692,0.00009669832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052966694,0.0008738276,0.0011463156,0.0014234255,0.0008978517,0.0027208521,0.0024423595,0.0017917645,0.001754232],"category_scores_gemma":[0.022929264,0.0005360822,0.0011333319,0.0014323968,0.002741557,0.0062602307,0.0021061613,0.003644366,0.0003988641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048246588,0.000047207588,0.0017958404,0.00022011713,0.00006431029,0.00028653324,0.00029353218,0.30934688,0.001787556,0.6196676,0.0030084564,0.06343373],"study_design_scores_gemma":[0.0000033109702,0.000039097406,0.00021854021,0.00010047343,0.000016709026,0.00016049868,0.000056568504,0.8189736,0.0017092418,0.17288566,0.0057904907,0.000045917688],"about_ca_topic_score_codex":0.0041366564,"about_ca_topic_score_gemma":0.0023343086,"teacher_disagreement_score":0.0052966694,"about_ca_system_score_codex":0.001767788,"about_ca_system_score_gemma":0.0013383018,"threshold_uncertainty_score":0.02801174},"labels":[],"label_agreement":null},{"id":"W3183292718","doi":"10.3390/en14154549","title":"A Robust Vector Current Controller with Negative-Sequence Current Capability for Grid-Connected Inverters","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Converters; Controller (irrigation); Islanding; Grid; Robust control; Current (fluid); Computer science; Sequence (biology); Engineering; Voltage; Mathematics; Control system; Distributed generation; Control (management)","score_opus":0.025830282882367394,"score_gpt":0.220817112111685,"score_spread":0.19498682922931762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183292718","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":[0.017370777,0.0003940251,0.9756035,0.000070808645,0.000110733934,0.000059695187,0.000032105105,0.0010345648,0.0053237113],"genre_scores_gemma":[0.92707086,0.00021115741,0.06979285,0.000082162114,0.000066848945,0.00011793415,0.00007912341,0.000050411458,0.0025287375],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996723,0.000047370195,0.000027359449,0.00008941539,0.00014024728,0.00002330721],"domain_scores_gemma":[0.9997731,0.00004346658,0.00005571158,0.00002677102,0.000090696994,0.000010338683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047842765,0.0007340183,0.00051502977,0.00028040286,0.00026069646,0.00070497516,0.00095621287,0.00041662873,0.0017690125],"category_scores_gemma":[0.0005698294,0.00016183844,0.00025560474,0.00024646116,0.0003158591,0.00047807663,0.00038013072,0.0004738024,0.00044128383],"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":[0.00045830692,0.00022665637,0.00063006114,0.0009675409,0.00012930352,0.00037156118,0.00025287684,0.37956566,0.18433863,0.029668946,0.005377655,0.3980128],"study_design_scores_gemma":[0.00008418912,0.00046458593,0.00030057275,0.000022385664,0.00002836787,0.00013519313,0.000012086148,0.97697634,0.015156574,0.0014966043,0.005299813,0.00002327117],"about_ca_topic_score_codex":0.0009791151,"about_ca_topic_score_gemma":0.0009927521,"teacher_disagreement_score":0.0017690125,"about_ca_system_score_codex":0.00029800477,"about_ca_system_score_gemma":0.00036506064,"threshold_uncertainty_score":0.0059179068},"labels":[],"label_agreement":null},{"id":"W3184235702","doi":"10.3390/en14154493","title":"Miscanthus to Biocarbon for Canadian Iron and Steel Industries: An Innovative Approach","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Pyrolysis; Miscanthus; Biomass (ecology); Hydrothermal carbonization; Coal; Carbonization; Waste management; Environmental science; Carbon fibers; Greenhouse gas; Pulp and paper industry; Biofuel; Renewable energy; Bioenergy; Materials science; Agronomy; Engineering","score_opus":0.013385840289225764,"score_gpt":0.2098390217169875,"score_spread":0.19645318142776175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184235702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7865133,0.030756919,0.09001394,0.0025686114,0.0003950929,0.0014343563,0.0012657583,0.0007352916,0.08631673],"genre_scores_gemma":[0.89276475,0.0148579,0.07034839,0.00029381615,0.000055236862,0.00022531621,0.0004993765,0.000051033203,0.020904196],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996995,0.0000136051885,0.000009545089,0.00005340472,0.00016549857,0.000058421258],"domain_scores_gemma":[0.9999218,0.0000046356745,0.000011353002,0.000004700259,0.00003966152,0.00001785538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025756672,0.0007721621,0.0003617178,0.0013689278,0.0010844325,0.0009070328,0.0006332437,0.00045196374,0.002425528],"category_scores_gemma":[0.0001383617,0.0003186159,0.0008554372,0.0010577096,0.00029409144,0.0004118002,0.0006079838,0.0004916225,0.00030514083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002685452,0.0002807783,0.002946939,0.0014316498,0.00006669419,0.00066400005,0.00024148136,0.007167071,0.803564,0.006018016,0.001226235,0.17612462],"study_design_scores_gemma":[0.00012879787,0.0016759924,0.022538688,0.00024985825,0.00058204675,0.00070446735,0.00093699316,0.042563748,0.7207963,0.003086353,0.20656545,0.00017125154],"about_ca_topic_score_codex":0.11683103,"about_ca_topic_score_gemma":0.34973195,"teacher_disagreement_score":0.883169,"about_ca_system_score_codex":0.003185112,"about_ca_system_score_gemma":0.00711214,"threshold_uncertainty_score":0.23230201},"labels":[],"label_agreement":null},{"id":"W3184529223","doi":"10.3390/en14154508","title":"Through the Eye of a Needle: An Eco-Heterodox Perspective on the Renewable Energy Transition","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Renewable energy; Civilization; Mainstream; Overshoot (microwave communication); Context (archaeology); Ecological crisis; Narrative; Economics; Sociology; Environmental ethics; Business; Political science; Ecology; Computer science; History; Law; Telecommunications","score_opus":0.01746670660828717,"score_gpt":0.2832783558365418,"score_spread":0.2658116492282546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184529223","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":[0.058328006,0.025673868,0.034763295,0.33854806,0.003486175,0.00007081206,0.00006958025,0.00006309174,0.5389971],"genre_scores_gemma":[0.93297076,0.007906986,0.004682526,0.026601462,0.0011744597,0.00010284721,0.000022583296,0.00011057038,0.026427764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973508,0.0016537908,0.00003723729,0.0002016472,0.0003673836,0.00038912616],"domain_scores_gemma":[0.99809474,0.0013370649,0.00010899181,0.00012895379,0.00015543378,0.00017485041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044830465,0.00045552818,0.00037541604,0.0017086327,0.006613945,0.010343707,0.0012636002,0.0046441774,0.003213034],"category_scores_gemma":[0.0036362163,0.00017508908,0.0003845827,0.0012035633,0.03844202,0.012405907,0.005945844,0.0064186836,0.00038064382],"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":[0.000003560462,0.0000070957503,0.0000552844,0.000011370282,6.198323e-7,0.000057905843,0.0049930178,0.00006113528,0.00003913281,0.9924468,0.0012056455,0.0011185493],"study_design_scores_gemma":[0.000006923424,0.000015935822,0.00017380614,0.00016850849,0.000003478568,0.0001058801,0.019175282,0.00043523844,0.00021526229,0.8135588,0.16613075,0.000010158787],"about_ca_topic_score_codex":0.003362203,"about_ca_topic_score_gemma":0.006059842,"teacher_disagreement_score":0.010343707,"about_ca_system_score_codex":0.0054411376,"about_ca_system_score_gemma":0.0031266836,"threshold_uncertainty_score":0.03947842},"labels":[],"label_agreement":null},{"id":"W3184538425","doi":"10.3390/en14154614","title":"Application of Graphene in Fiber-Reinforced Cementitious Composites: A Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Graphene research and applications","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of the West of England","keywords":"Graphene; Materials science; Composite material; Durability; Cementitious; Fiber; Cement; Nanotechnology","score_opus":0.032360689392050064,"score_gpt":0.3434020051530446,"score_spread":0.31104131576099453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184538425","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":[0.0005453094,0.99715936,0.0002507236,0.00018707133,0.0001869192,0.000005946838,0.000030336612,0.000009254791,0.0016250769],"genre_scores_gemma":[0.0015358786,0.9974726,0.00025371416,0.00007858829,0.00006613349,0.0000051680395,0.000026771386,0.0000013535888,0.00055988703],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998946,0.000013436578,0.000014031813,0.000024745887,0.000040673516,0.000012447513],"domain_scores_gemma":[0.99982697,0.00008716453,0.000029711526,0.000005668214,0.000037389094,0.000013157166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002949951,0.000871352,0.00068443257,0.00259024,0.00031444966,0.0007246549,0.00045714792,0.00073737797,0.002916482],"category_scores_gemma":[0.00039061654,0.0002979349,0.00049381726,0.0025410496,0.00025192118,0.0010120305,0.00048698482,0.00085496693,0.0009635882],"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":[0.000048135407,0.00010068021,0.0002748301,0.054258678,0.000121861645,0.00038145756,0.00014569581,0.00095259864,0.011002869,0.007852039,0.018552847,0.90630835],"study_design_scores_gemma":[0.000004830101,0.00011145216,0.0009200782,0.0045558275,0.00014624132,0.0009799227,0.00008714233,0.0001563951,0.0024753395,0.0017721421,0.9887658,0.000024886132],"about_ca_topic_score_codex":0.0009666599,"about_ca_topic_score_gemma":0.0019718823,"teacher_disagreement_score":0.002916482,"about_ca_system_score_codex":0.00033357026,"about_ca_system_score_gemma":0.0008904206,"threshold_uncertainty_score":0.009756625},"labels":[],"label_agreement":null},{"id":"W3185030199","doi":"10.3390/en14144281","title":"Crop Residue Management in India: Stubble Burning vs. Other Utilizations including Bioenergy","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":150,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Western University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Crop residue; Environmental science; Bioenergy; Agriculture; Crop; Biofuel; Agroforestry; Greenhouse gas; Manure; Waste management; Agronomy; Engineering; Geography; Forestry; Ecology","score_opus":0.018484880153451972,"score_gpt":0.24936696819147847,"score_spread":0.23088208803802648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185030199","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03145835,0.9422407,0.0016568566,0.0025020796,0.00033999796,0.000027649798,0.00012806419,0.00002609597,0.021620156],"genre_scores_gemma":[0.114528246,0.8787845,0.0018359884,0.0010609422,0.00017634357,0.000018091572,0.00012193418,0.000009735965,0.0034642508],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997209,0.000037677983,0.00002841275,0.00006677223,0.00008747295,0.000058840873],"domain_scores_gemma":[0.9998172,0.00005611718,0.00006685461,0.000007083502,0.000039217488,0.000013564023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028923256,0.00039033586,0.00040321084,0.0009353827,0.0003828185,0.0019670012,0.0006223064,0.0006187326,0.00187216],"category_scores_gemma":[0.00022235466,0.00014941566,0.0005113783,0.0019103767,0.00065087236,0.0007957151,0.00058854936,0.0007676105,0.0003295474],"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":[0.00021843791,0.00025930227,0.008435221,0.029677844,0.00023300987,0.0034625554,0.0023836943,0.0032074798,0.037004303,0.028070843,0.007563519,0.8794839],"study_design_scores_gemma":[0.00001722758,0.0007527529,0.043845218,0.00867592,0.0004249069,0.009868312,0.0076958495,0.0008748049,0.025471875,0.007138005,0.8950966,0.00013859969],"about_ca_topic_score_codex":0.0055934987,"about_ca_topic_score_gemma":0.010724417,"teacher_disagreement_score":0.0055934987,"about_ca_system_score_codex":0.00088559807,"about_ca_system_score_gemma":0.0017754625,"threshold_uncertainty_score":0.011121929},"labels":[],"label_agreement":null},{"id":"W3185126139","doi":"10.3390/en14144373","title":"Analysis and Adequacy Methodology for Voltage Violations in Distribution Power Grid","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Division of Graduate Education; Agência Nacional de Energia Elétrica; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Governo Brasil; Fundação de Amparo à Pesquisa do Estado de Goiás; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Australian Government","keywords":"Electric power distribution; Electricity; Voltage; Grid; Voltage regulation; Computer science; Reliability engineering; Voltage optimisation; Engineering; Electrical engineering","score_opus":0.018314393398697018,"score_gpt":0.26584060637451623,"score_spread":0.24752621297581923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185126139","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":[0.013758711,0.000064862565,0.9844215,0.000047829486,0.000006848458,0.00007473229,0.00008956729,0.00035028643,0.001185682],"genre_scores_gemma":[0.60040003,0.00014009408,0.39715007,0.000037469476,0.000041387335,0.0002553551,0.00059002347,0.00011459779,0.0012709696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99706143,0.0010619387,0.0002256027,0.0004592226,0.0010491004,0.00014273297],"domain_scores_gemma":[0.9956489,0.0027215474,0.0004065847,0.00033090255,0.00081966753,0.0000723002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025726967,0.00058736466,0.0006060745,0.0039494224,0.00060109986,0.0015746355,0.00094085286,0.00060352264,0.0031184605],"category_scores_gemma":[0.013590739,0.00026741117,0.00096527836,0.0013520232,0.00085845107,0.0016207543,0.0009927758,0.0006627464,0.00043131193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017619724,0.00016453942,0.018756246,0.00035115887,0.00011491524,0.0005515513,0.0005714957,0.5369548,0.00578728,0.11913394,0.002114388,0.3153235],"study_design_scores_gemma":[0.000009324792,0.000046572895,0.0010005948,0.00002958544,0.000017782382,0.00010608482,0.00008149543,0.96657604,0.002018133,0.028372226,0.0017318863,0.000010279529],"about_ca_topic_score_codex":0.0038221444,"about_ca_topic_score_gemma":0.002173736,"teacher_disagreement_score":0.0039494224,"about_ca_system_score_codex":0.00065681554,"about_ca_system_score_gemma":0.0014528504,"threshold_uncertainty_score":0.013605893},"labels":[],"label_agreement":null},{"id":"W3185508569","doi":"10.3390/en14154572","title":"Modeling of Interconnected Infrastructures with Unified Interface Design toward Smart Cities","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Modular design; Interface (matter); Key (lock); Process (computing); Systems engineering; Systems modeling; Systems design; Computer science; Engineering design process; System of systems; Control (management); Distributed computing; Engineering; Computer security","score_opus":0.024665633662689545,"score_gpt":0.22842390870171358,"score_spread":0.20375827503902405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185508569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016813828,0.000103903934,0.97623163,0.00007458312,0.000023387918,0.000050161783,0.000064601925,0.00027782546,0.0063601304],"genre_scores_gemma":[0.7786117,0.00051737996,0.21269937,0.00007918948,0.00003968984,0.00061514054,0.0002803869,0.00014869099,0.007008423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937445,0.00029391094,0.00002421999,0.0000988617,0.00014088194,0.00006766007],"domain_scores_gemma":[0.9997484,0.00008396025,0.00004858876,0.000030450554,0.000072184004,0.000016363862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077889126,0.001004368,0.00079958554,0.00068209285,0.00047273183,0.0017505809,0.0011230208,0.0011510119,0.0022172125],"category_scores_gemma":[0.0010121163,0.00051401014,0.0012134411,0.0006810871,0.001095714,0.001398936,0.0014468258,0.0011066662,0.00038313176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001541002,0.000012565697,0.00018074969,0.000019951613,0.000009392774,0.000023188088,0.00004198223,0.97673845,0.0010291055,0.018575313,0.00016259491,0.0031911973],"study_design_scores_gemma":[0.0000044041476,0.000014721093,0.00004146049,0.0000034051834,0.0000043127484,0.0000038982653,0.000009187378,0.9952716,0.00029541753,0.0033014922,0.0010471976,0.0000028502182],"about_ca_topic_score_codex":0.0046396083,"about_ca_topic_score_gemma":0.0029883164,"teacher_disagreement_score":0.0046396083,"about_ca_system_score_codex":0.00084888114,"about_ca_system_score_gemma":0.000842251,"threshold_uncertainty_score":0.00922519},"labels":[],"label_agreement":null},{"id":"W3185764699","doi":"10.3390/en14154515","title":"A Novel Optimization Algorithm for Solar Panels Selection towards a Self-Powered EV Parking Lot and Its Impact on the Distribution System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"TOPSIS; Photovoltaic system; Renewable energy; Ideal solution; Mathematical optimization; Payback period; Computer science; Algorithm; Power (physics); Engineering; Mathematics; Operations research; Production (economics); Electrical engineering","score_opus":0.007155060188926868,"score_gpt":0.21098286906148203,"score_spread":0.20382780887255517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185764699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075151636,0.00008923235,0.98987925,0.000060814455,0.000019437652,0.000053333195,0.000024105339,0.00020429073,0.0021543433],"genre_scores_gemma":[0.4213719,0.00020390862,0.57389367,0.00010757928,0.000037892565,0.00038466993,0.00014013225,0.000086831045,0.0037733645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993923,0.00019395738,0.000036931306,0.00011632555,0.00018809234,0.00007235447],"domain_scores_gemma":[0.99953055,0.00021328499,0.00006321984,0.000023001478,0.00014843896,0.000021479027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010981571,0.0010001151,0.00090126944,0.0008129082,0.0005067328,0.0010396602,0.0009198266,0.0010443242,0.0030410949],"category_scores_gemma":[0.0013968034,0.00041815737,0.00087327155,0.00073635206,0.0003539741,0.0008246129,0.0007311177,0.00066844176,0.00047036057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005830483,0.00006415514,0.0005400552,0.00010739959,0.000051272596,0.000056170655,0.000058157115,0.8905481,0.0030451291,0.00433318,0.0011183794,0.10001968],"study_design_scores_gemma":[0.000010864907,0.000040378884,0.000083183106,0.0000054821744,0.000008052467,0.000018925419,0.00001115878,0.9978758,0.00057016825,0.00084181066,0.0005295474,0.000004640037],"about_ca_topic_score_codex":0.0028041573,"about_ca_topic_score_gemma":0.002670493,"teacher_disagreement_score":0.0030410949,"about_ca_system_score_codex":0.00065616396,"about_ca_system_score_gemma":0.0012629915,"threshold_uncertainty_score":0.01017344},"labels":[],"label_agreement":null},{"id":"W3186136943","doi":"10.3390/en14154395","title":"Power and Spectral Range Characteristics for Optical Power Converters","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"solar cell performance optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Broadcom (Canada)","funders":"","keywords":"Converters; Power (physics); Optical power; Optoelectronics; Diode; Laser; Range (aeronautics); Electrical engineering; Wavelength; Computer science; Optics; Materials science; Physics; Engineering","score_opus":0.004979091004211108,"score_gpt":0.18858415547202143,"score_spread":0.18360506446781033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186136943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7582827,0.004812689,0.092489555,0.0008881202,0.0001493085,0.00013535908,0.0014384653,0.0011146921,0.14068903],"genre_scores_gemma":[0.9808528,0.0009690328,0.009174716,0.00010944226,0.000037121117,0.00006402978,0.00046820196,0.00018242265,0.00814227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995721,0.00002455352,0.000019050038,0.0000693252,0.00026905842,0.000045925677],"domain_scores_gemma":[0.99939394,0.00020199093,0.00006863749,0.000046902147,0.00026283425,0.000025758116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032319545,0.00034790093,0.00020665348,0.0007193431,0.00030180957,0.0010021849,0.0006114423,0.00047965214,0.0072648474],"category_scores_gemma":[0.0013151116,0.00020111036,0.0002648227,0.0011097557,0.00017761503,0.0010852483,0.0002938521,0.00056988455,0.0027835073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074156775,0.00025811442,0.0053119385,0.00044919288,0.000045369685,0.00045573045,0.00043219843,0.024979068,0.7974165,0.013298146,0.0051028705,0.15150928],"study_design_scores_gemma":[0.000042446736,0.000546802,0.008589024,0.00011814668,0.00004909194,0.0010231049,0.0003030611,0.09240123,0.85560584,0.004527527,0.03670327,0.00009048164],"about_ca_topic_score_codex":0.00080017856,"about_ca_topic_score_gemma":0.0010912005,"teacher_disagreement_score":0.0072648474,"about_ca_system_score_codex":0.0005672489,"about_ca_system_score_gemma":0.0002034619,"threshold_uncertainty_score":0.024303377},"labels":[],"label_agreement":null},{"id":"W3186488124","doi":"10.3390/en14144298","title":"Microwave Torrefaction of Oat Hull: Effect of Temperature and Residence Time","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","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":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada","keywords":"Torrefaction; Residence time (fluid dynamics); Biomass (ecology); Heat of combustion; Pulp and paper industry; Moisture; Chemistry; Microwave; Environmental science; Materials science; Agronomy; Combustion; Organic chemistry","score_opus":0.0023185363711896593,"score_gpt":0.17881562116422853,"score_spread":0.17649708479303886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186488124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996407,0.001147042,0.0018262572,0.00002306296,0.0000136236495,0.000011152251,0.00010374507,0.000016635755,0.00045149206],"genre_scores_gemma":[0.9966876,0.00090779935,0.0015079564,0.000014713931,0.0000045643965,0.000009418047,0.0001412988,0.000012475005,0.0007142472],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999892,0.000011035325,0.000009198737,0.000028583467,0.000024784249,0.000034441106],"domain_scores_gemma":[0.99991167,0.000022208866,0.00003141504,0.000005762215,0.000018000988,0.000010930529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000178177,0.00038294407,0.00039184582,0.00017747638,0.00013275971,0.0002469417,0.00014712324,0.0002102739,0.0007990942],"category_scores_gemma":[0.00019426816,0.0001051983,0.00039613122,0.00039603873,0.00014460362,0.00034148773,0.000100050165,0.00036405592,0.00011029373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021508918,0.00001310688,0.00021699084,0.00010296135,0.0000098286555,0.00004681773,0.000019250328,0.00024153419,0.99768364,0.000013323331,0.000012357253,0.0014251495],"study_design_scores_gemma":[0.000007591412,0.00027545373,0.006268736,0.000005575223,0.000028458227,0.00005225775,0.00003781218,0.0008728468,0.9918956,0.0000107215765,0.0005370009,0.000007954153],"about_ca_topic_score_codex":0.0021193125,"about_ca_topic_score_gemma":0.004488427,"teacher_disagreement_score":0.0021193125,"about_ca_system_score_codex":0.00023409721,"about_ca_system_score_gemma":0.00014184526,"threshold_uncertainty_score":0.004213929},"labels":[],"label_agreement":null},{"id":"W3186743284","doi":"10.3390/en14154454","title":"A Theoretical Optimum Tilt Angle Model for Solar Collectors from Keplerian Orbit","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Hong Kong; China Postdoctoral Science Foundation; Shanghai Jiao Tong University; Shandong University; Beijing Normal University; Harbin Institute of Technology; University of Calgary","keywords":"Tilt (camera); Solar energy; Noon; Orientation (vector space); Orbit (dynamics); Latitude; Physics; Meteorology; Aerospace engineering; Mathematics; Geometry; Atmospheric sciences; Engineering; Astronomy","score_opus":0.0172473392547947,"score_gpt":0.24004957229031906,"score_spread":0.22280223303552438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186743284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022632264,0.0013360647,0.94138837,0.00020540504,0.00006083359,0.00004959334,0.00016420418,0.00016251804,0.034000803],"genre_scores_gemma":[0.88271254,0.004070094,0.095849976,0.00009939103,0.000059937916,0.000224667,0.00039134486,0.00015641683,0.01643563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975497,0.00005646088,0.000010499451,0.000045017376,0.00010164869,0.000031459673],"domain_scores_gemma":[0.9998776,0.00005130941,0.000021273478,0.0000114118975,0.00003240046,0.0000060617263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004163829,0.0006134441,0.00049710565,0.0005681769,0.0004974787,0.0011337932,0.00084301503,0.0006448578,0.0031013298],"category_scores_gemma":[0.0010189489,0.00036698347,0.0007056375,0.0009686185,0.0005720085,0.0012809816,0.00057114824,0.0005175082,0.0011389924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027654227,0.000009661091,0.0006007181,0.000090968504,0.000009571784,0.00007717188,0.00009300134,0.93496513,0.0028058582,0.047531255,0.00085242494,0.012936534],"study_design_scores_gemma":[0.000005877462,0.000021252994,0.00025684643,0.000018920426,0.000008882942,0.000065140186,0.00003663877,0.98704463,0.0009597312,0.009105707,0.002464462,0.00001196471],"about_ca_topic_score_codex":0.0047095325,"about_ca_topic_score_gemma":0.0031238622,"teacher_disagreement_score":0.0047095325,"about_ca_system_score_codex":0.0010309053,"about_ca_system_score_gemma":0.0010621293,"threshold_uncertainty_score":0.010374963},"labels":[],"label_agreement":null},{"id":"W3187188284","doi":"10.3390/en14051357","title":"Design of Cylindrical Thermal Dummy Cell for Development of Lithium-Ion Battery Thermal Management System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Key Research and Development Program of China; Zhejiang University","keywords":"Battery (electricity); Driving cycle; Voltage; Lithium-ion battery; Thermal; Automotive engineering; Nuclear engineering; Materials science; Lithium (medication); Electrode; Internal resistance; Thermal runaway; Constant current; Ion; Computer science; Simulation; Electrical engineering; Electric vehicle; Engineering; Chemistry; Thermodynamics; Physics; Power (physics)","score_opus":0.024616737267035418,"score_gpt":0.24253862933342735,"score_spread":0.21792189206639193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187188284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3722164,0.0018681093,0.5995993,0.00051294384,0.000518683,0.0005806183,0.00090795784,0.002049378,0.021746635],"genre_scores_gemma":[0.9243322,0.0005697385,0.070753954,0.00006834577,0.000025033754,0.00032124092,0.00035669716,0.00006477478,0.0035080009],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997962,0.000025643503,0.0000144297555,0.000039248876,0.000098241624,0.00002630656],"domain_scores_gemma":[0.99983835,0.000013793509,0.000029081359,0.000022207556,0.00007943334,0.000017109323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017073337,0.0004173828,0.00043458637,0.00028063607,0.0002923827,0.00043851975,0.0011687736,0.0004247352,0.0014203665],"category_scores_gemma":[0.00033800345,0.00020716879,0.00043014827,0.0002484889,0.00021783626,0.0005591913,0.00040116615,0.00020514219,0.0005724519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005238973,0.00011225902,0.006779832,0.0013635952,0.0000885466,0.0013905627,0.00031599993,0.22052468,0.6843312,0.010815012,0.0057574483,0.067997046],"study_design_scores_gemma":[0.00011768915,0.00142753,0.003085665,0.000048390448,0.00013399644,0.0011872927,0.00018178317,0.6186885,0.3276443,0.0010619545,0.04629624,0.00012678123],"about_ca_topic_score_codex":0.0009832334,"about_ca_topic_score_gemma":0.000919721,"teacher_disagreement_score":0.0014203665,"about_ca_system_score_codex":0.00043297288,"about_ca_system_score_gemma":0.0006645426,"threshold_uncertainty_score":0.0047516227},"labels":[],"label_agreement":null},{"id":"W3187258208","doi":"10.3390/en14164954","title":"Framework for Developing a Low-Carbon Energy Demand in Residential Buildings Using Community-Government Partnership: An Application in Saudi Arabia","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Greenhouse gas; Fossil fuel; Energy consumption; Natural resource economics; Environmental science; Business; Environmental engineering; Environmental economics; Environmental resource management; Engineering; Waste management; Economics; Ecology","score_opus":0.021045975980194122,"score_gpt":0.25961836537308275,"score_spread":0.23857238939288863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187258208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08066772,0.0013432847,0.8282904,0.0057253195,0.00012330865,0.0014206667,0.0004951603,0.0002710084,0.08166309],"genre_scores_gemma":[0.59652585,0.0010290093,0.39463416,0.00016533224,0.000028424733,0.00082451175,0.00023968791,0.000027571168,0.006525383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983113,0.0010744038,0.000058104935,0.00014479976,0.00022598525,0.00018548382],"domain_scores_gemma":[0.9989655,0.00053214194,0.00007684626,0.000049084094,0.00024639184,0.00013003417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036560094,0.0007123367,0.00039171023,0.0012584997,0.001256302,0.002403013,0.0011843939,0.0015450426,0.004540097],"category_scores_gemma":[0.002566714,0.00030542666,0.0013757953,0.001582528,0.0009419915,0.001748345,0.0034357945,0.0011202028,0.00034564463],"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":[0.000057145633,0.00046793904,0.006772351,0.00032240577,0.0000830483,0.0010299049,0.0018205855,0.25804397,0.0009939206,0.6664559,0.0035542918,0.060398534],"study_design_scores_gemma":[0.0000837331,0.00019126017,0.001989625,0.00021753953,0.00006176953,0.00035350485,0.004487734,0.8512086,0.0007462773,0.10915292,0.031448152,0.000058869682],"about_ca_topic_score_codex":0.025957134,"about_ca_topic_score_gemma":0.034840122,"teacher_disagreement_score":0.025957134,"about_ca_system_score_codex":0.0038167778,"about_ca_system_score_gemma":0.006058728,"threshold_uncertainty_score":0.05161208},"labels":[],"label_agreement":null},{"id":"W3188640451","doi":"10.3390/en14154626","title":"Frequency Scan–Based Mitigation Approach of Subsynchronous Control Interaction in Type-3 Wind Turbines","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Manitoba Hydro; National Science Foundation","keywords":"Wind power; Turbine; Benchmark (surveying); Grid; Harmonic; Engineering; Induction generator; Control theory (sociology); Automatic frequency control; Electric power system; AC power; Power (physics); Voltage; Computer science; Control (management); Control engineering; Electrical engineering; Aerospace engineering","score_opus":0.00709022712153378,"score_gpt":0.20451981760094057,"score_spread":0.19742959047940678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188640451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28102216,0.000409966,0.7062735,0.00015292225,0.00005728714,0.00008654696,0.00003927601,0.000824612,0.011133753],"genre_scores_gemma":[0.9816776,0.000052658077,0.017363789,0.00002532878,0.00001026274,0.000018475434,0.000018239321,0.000012864506,0.0008207328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999001,0.000019393541,0.0000046517202,0.000020540017,0.0000345541,0.000020700483],"domain_scores_gemma":[0.9998548,0.00003316907,0.000048034897,0.000015340784,0.000035825382,0.000012724933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011843001,0.00042840585,0.00028846067,0.00032151103,0.0002587368,0.00025567372,0.00040658127,0.0003046653,0.0015237398],"category_scores_gemma":[0.00027845436,0.000120034565,0.0002163517,0.00015051085,0.00020043767,0.00032762054,0.0003680896,0.00022798612,0.00021082073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001018093,0.00039257732,0.0046827807,0.00024986608,0.00013221004,0.0007706921,0.00047968753,0.37070516,0.26308265,0.008943911,0.0021515898,0.34739068],"study_design_scores_gemma":[0.00007777286,0.000872028,0.0030655512,0.000023406741,0.000075298994,0.00040375843,0.00013513719,0.94103396,0.04785543,0.0028701087,0.003565008,0.000022425771],"about_ca_topic_score_codex":0.00084247574,"about_ca_topic_score_gemma":0.0017325026,"teacher_disagreement_score":0.0015237398,"about_ca_system_score_codex":0.00011468944,"about_ca_system_score_gemma":0.00023198791,"threshold_uncertainty_score":0.005097389},"labels":[],"label_agreement":null},{"id":"W3189206576","doi":"10.3390/en14164844","title":"Enhancement of Continuous-Feed Low-Cost Solar Distiller: Effects of Various Fin Designs","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Japan Society for the Promotion of Science; Universitas Sebelas Maret","keywords":"Seawater; Distilled water; Desalination; Materials science; Fin; Solar still; Distillation; Water desalination; Environmental science; Composite material; Chemistry; Physics; Thermodynamics","score_opus":0.016428591623854804,"score_gpt":0.26640522838735303,"score_spread":0.24997663676349824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189206576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99284005,0.00055508316,0.0054960055,0.000014257401,0.000016552223,0.000020411295,0.000044233144,0.000049316284,0.0009640658],"genre_scores_gemma":[0.98941106,0.00039134832,0.0090029,0.000015973172,0.0000053884187,0.000014263728,0.00006212158,0.000011419865,0.0010855081],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989915,0.0000090574495,0.000008054648,0.000028149487,0.00004064636,0.000014873628],"domain_scores_gemma":[0.99990916,0.000021006435,0.000027120363,0.0000060296984,0.000024650008,0.000011904129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014990043,0.00044298422,0.00018208512,0.00022080522,0.000113532675,0.0002955756,0.00029314664,0.00024557146,0.00066843955],"category_scores_gemma":[0.00025440223,0.000112557136,0.00023184066,0.00019510386,0.00012686918,0.0005023925,0.000210232,0.00023709868,0.000118517106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010664562,0.000039184717,0.00036073,0.00011168426,0.0000062283093,0.00003362166,0.000014445087,0.00028683373,0.9936372,0.000058532685,0.0000141320415,0.0053307074],"study_design_scores_gemma":[0.000010126971,0.00060490175,0.0028341538,0.000005156413,0.000024368519,0.00005633432,0.000020325082,0.0018649512,0.99368083,0.000019491375,0.0008721852,0.0000072415555],"about_ca_topic_score_codex":0.000494562,"about_ca_topic_score_gemma":0.0019576233,"teacher_disagreement_score":0.00066843955,"about_ca_system_score_codex":0.00019513791,"about_ca_system_score_gemma":0.00011406994,"threshold_uncertainty_score":0.0022361279},"labels":[],"label_agreement":null},{"id":"W3189402753","doi":"10.3390/en14164915","title":"Assessing the Energy, Indoor Air Quality, and Moisture Performance for a Three-Story Building Using an Integrated Model, Part Two: Integrating the Indoor Air Quality, Moisture, and Thermal Comfort","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Indoor air quality; Airflow; Environmental science; Infiltration (HVAC); Thermal comfort; Ventilation (architecture); Natural ventilation; Moisture; Air quality index; Relative humidity; Environmental engineering; Meteorology; Engineering; Mechanical engineering","score_opus":0.04660674446374986,"score_gpt":0.30786657652150057,"score_spread":0.2612598320577507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189402753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947904,0.000075717115,0.04811674,0.000054495864,0.000012616041,0.000050331175,0.0003466329,0.0001985294,0.0032409313],"genre_scores_gemma":[0.99332726,0.000036270016,0.0057408195,0.0000073944375,0.0000025154661,0.000035319674,0.00018037228,0.000010392752,0.0006597288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998554,0.000029676152,0.0000062498098,0.00004283076,0.000034138153,0.00003178774],"domain_scores_gemma":[0.99986696,0.00004447515,0.00001916945,0.000014796765,0.00003925813,0.000015341939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030796204,0.0010304354,0.00052010664,0.0003617359,0.00037893796,0.0007058097,0.00093916553,0.00080074865,0.0007975081],"category_scores_gemma":[0.0003913965,0.0003868321,0.0010190066,0.0003381999,0.00025373485,0.000583909,0.00047779005,0.0004276237,0.00011251453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034869474,0.000054491356,0.0050224937,0.00001463128,0.00002960356,0.00003870278,0.000023429713,0.98949105,0.002522814,0.00019778713,0.000055111814,0.0025150466],"study_design_scores_gemma":[0.00000802876,0.000041260766,0.0018159525,0.0000014711649,0.00001824855,0.0000065882623,0.000015239368,0.99707055,0.00088128966,0.000054950513,0.00008030228,0.000006114737],"about_ca_topic_score_codex":0.08518648,"about_ca_topic_score_gemma":0.06886381,"teacher_disagreement_score":0.08518648,"about_ca_system_score_codex":0.0014511627,"about_ca_system_score_gemma":0.0013087073,"threshold_uncertainty_score":0.16938126},"labels":[],"label_agreement":null},{"id":"W3189873277","doi":"10.3390/en14154617","title":"Comprehensive Review on Smart Techniques for Estimation of State of Health for Battery Management System Application","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of health; Battery (electricity); Internal resistance; Lithium-ion battery; Overvoltage; Reliability (semiconductor); Automotive engineering; Reliability engineering; Computer science; Overcurrent; Electrical engineering; Engineering; Power (physics); Voltage","score_opus":0.02451547471704246,"score_gpt":0.31641833420404575,"score_spread":0.2919028594870033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189873277","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016551521,0.9752254,0.015537541,0.00031132414,0.0005873732,0.000049512775,0.00029568403,0.00014357963,0.0061943764],"genre_scores_gemma":[0.012549323,0.9688723,0.01282079,0.00027454502,0.0005910054,0.00006970802,0.0005227984,0.000032346798,0.004267142],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955446,0.000065683154,0.00006599522,0.00009540761,0.0001948657,0.000023581686],"domain_scores_gemma":[0.999308,0.00033296,0.00006699042,0.000031224674,0.00024721338,0.000013639854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039813,0.00093612575,0.0010689578,0.0023269851,0.00020550127,0.0007888261,0.0009122624,0.0007682366,0.0040918496],"category_scores_gemma":[0.0011545352,0.0003398944,0.0009036986,0.0021989369,0.00024123026,0.001248343,0.00037581942,0.0005882302,0.0020928513],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008994874,0.00007331607,0.00079447386,0.018892301,0.0001419155,0.0002246557,0.00009415713,0.0019197833,0.010772064,0.0034736786,0.01881317,0.9447105],"study_design_scores_gemma":[0.0000136159515,0.00043337978,0.0049817935,0.0051099574,0.0005207344,0.002057709,0.00017314174,0.0045342944,0.013302448,0.0032645564,0.96549046,0.00011790081],"about_ca_topic_score_codex":0.0013143114,"about_ca_topic_score_gemma":0.001246403,"teacher_disagreement_score":0.0040918496,"about_ca_system_score_codex":0.000307238,"about_ca_system_score_gemma":0.00064739515,"threshold_uncertainty_score":0.013688624},"labels":[],"label_agreement":null},{"id":"W3190397618","doi":"10.3390/en14164916","title":"A Review of Hydrothermal Liquefaction of Biomass for Biofuels Production with a Special Focus on the Effect of Process Parameters, Co-Solvents, and Extraction Solvents","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":139,"is_retracted":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":"Hydrothermal liquefaction; Liquefaction; Biofuel; Biomass (ecology); Hydrothermal circulation; Lignocellulosic biomass; Waste management; Biorefinery; Environmental science; Process engineering; Chemistry; Pulp and paper industry; Chemical engineering; Organic chemistry; Engineering; Geology","score_opus":0.018405650187634338,"score_gpt":0.2871072470450068,"score_spread":0.26870159685737244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190397618","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":[0.0018133912,0.9917201,0.0017621877,0.00027445584,0.000563625,0.000015870377,0.0001312155,0.0000437424,0.0036754264],"genre_scores_gemma":[0.004517561,0.99058706,0.0014757802,0.00021487549,0.0003199624,0.00001948062,0.0001773358,0.000013023098,0.0026749582],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997961,0.000023043072,0.00003260058,0.000051246254,0.000076569406,0.000020452311],"domain_scores_gemma":[0.9998179,0.000065588654,0.000040539893,0.000008335815,0.000052456868,0.00001527875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029192923,0.0009698254,0.00095998595,0.0016592045,0.0003214007,0.00085901644,0.0005330114,0.0006391092,0.0036265552],"category_scores_gemma":[0.00033564024,0.00039972225,0.00074688863,0.0023667756,0.0002194929,0.0013329573,0.00034183593,0.0007589918,0.0015893475],"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":[0.00016291934,0.00023342439,0.0005959734,0.08020778,0.00022406197,0.00083402084,0.00021321398,0.0022359577,0.08819701,0.0069566,0.043580666,0.7765584],"study_design_scores_gemma":[0.0000064902442,0.00024360734,0.0012656034,0.0020904564,0.00015650502,0.0010848041,0.00006654305,0.00040280286,0.012787329,0.0009285562,0.9809287,0.000038607188],"about_ca_topic_score_codex":0.0007421892,"about_ca_topic_score_gemma":0.0012334025,"teacher_disagreement_score":0.0036265552,"about_ca_system_score_codex":0.00040671052,"about_ca_system_score_gemma":0.00078772375,"threshold_uncertainty_score":0.012132049},"labels":[],"label_agreement":null},{"id":"W3190482914","doi":"10.3390/en14164871","title":"Airflow Analysis of the Haida Plank House, a Breathing Envelope","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidad San Pablo - CEU","keywords":"Plank; Airflow; Hearth; Archaeology; Attic; Roof; Ventilation (architecture); Meteorology; Environmental science; Engineering; Geography; Structural engineering; Mechanical engineering","score_opus":0.005693671263368055,"score_gpt":0.17632035077214048,"score_spread":0.17062667950877242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190482914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793256,0.00020077672,0.016340453,0.00002552777,0.00001703207,0.00003964757,0.0002619976,0.00010025111,0.003688664],"genre_scores_gemma":[0.9966556,0.0000894571,0.0019074954,0.0000038667895,0.0000025139132,0.000014208563,0.00019643406,0.000008541434,0.0011219322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999068,0.00001128147,0.0000052475307,0.000022269054,0.000035617526,0.000018819283],"domain_scores_gemma":[0.9999293,0.000030148069,0.0000056153212,0.000005879656,0.000021931828,0.0000071379254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014646577,0.00033931798,0.00030009405,0.00042042191,0.0002630173,0.00046659427,0.00022283112,0.0003713233,0.001171043],"category_scores_gemma":[0.00021804427,0.00010945618,0.00042221256,0.00023656985,0.00022285216,0.00024264868,0.00018631633,0.00016135845,0.00018551562],"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":[0.0009554146,0.00040256674,0.068750456,0.00046101495,0.00009663592,0.0015224807,0.0009349395,0.51626337,0.31237927,0.0038458623,0.0013456774,0.0930422],"study_design_scores_gemma":[0.00002684283,0.00050963304,0.089120135,0.000030353509,0.000055798308,0.0002407901,0.0007047774,0.8669685,0.039755613,0.0004525503,0.0020956998,0.000039151517],"about_ca_topic_score_codex":0.0055883294,"about_ca_topic_score_gemma":0.0041706087,"teacher_disagreement_score":0.99441165,"about_ca_system_score_codex":0.0001965946,"about_ca_system_score_gemma":0.00020548381,"threshold_uncertainty_score":0.011111617},"labels":[],"label_agreement":null},{"id":"W3191493882","doi":"10.3390/en14164956","title":"Health Cost Estimation of Traffic-Related Air Pollution and Assessing the Pollution Reduction Potential of Zero-Emission Vehicles in Toronto, Canada","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"AERMOD; Air pollution; Environmental science; Pollutant; Pollution; Criteria air contaminants; Truck; Environmental engineering; Environmental health; Waste management; Atmospheric dispersion modeling; Engineering; Air pollutants; Medicine; Automotive engineering","score_opus":0.013797869139697848,"score_gpt":0.29354174246125697,"score_spread":0.27974387332155914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191493882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96581686,0.001167463,0.0044281925,0.00035073192,0.000017469802,0.0002435744,0.021162396,0.00008741868,0.0067259055],"genre_scores_gemma":[0.98928016,0.00041000018,0.0017405584,0.000018486826,0.0000043662276,0.00004279713,0.006365195,0.000009533971,0.0021289208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99957865,0.000055014818,0.000024106388,0.000057175537,0.00015408245,0.00013101698],"domain_scores_gemma":[0.99923134,0.00014539988,0.00007454796,0.000020177315,0.0004589746,0.00006953958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005650465,0.000762671,0.00046477644,0.0022285786,0.0005716872,0.00093694223,0.0010157301,0.00048865273,0.002579379],"category_scores_gemma":[0.00168241,0.000329089,0.000879955,0.0025505838,0.00029643832,0.00030016043,0.00040991453,0.00030984596,0.00015592466],"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":[0.0003016008,0.00019133324,0.3365296,0.00041075447,0.00035090325,0.00059025857,0.0002351171,0.6299437,0.0011445243,0.0034973428,0.0054860674,0.021318687],"study_design_scores_gemma":[0.00004487356,0.00009923783,0.40883026,0.00010569336,0.00015300002,0.00009848641,0.0010154049,0.5849771,0.0006901017,0.0005199636,0.0034089952,0.000056883357],"about_ca_topic_score_codex":0.9913857,"about_ca_topic_score_gemma":0.98533,"teacher_disagreement_score":0.03723873,"about_ca_system_score_codex":0.03723873,"about_ca_system_score_gemma":0.016465187,"threshold_uncertainty_score":0.2701872},"labels":[],"label_agreement":null},{"id":"W3191870675","doi":"10.3390/en14164947","title":"Protection Coordination Method Using Symmetrical Components in Loop Distribution System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fault (geology); Reliability (semiconductor); Reliability engineering; Relay; Power (physics); Fault indicator; Engineering; Electric power system; Distributed generation; Computer science; Renewable energy; Automotive engineering; Electronic engineering; Fault detection and isolation; Electrical engineering","score_opus":0.029992523276618884,"score_gpt":0.257015184222342,"score_spread":0.2270226609457231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191870675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010102449,0.00017500548,0.981676,0.000057337962,0.000053191077,0.00011038793,0.000023896253,0.0008171528,0.0069846613],"genre_scores_gemma":[0.84306973,0.00034188209,0.1493947,0.00006406338,0.00007748181,0.00019200794,0.000102465,0.00006452263,0.0066931327],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994905,0.000121748846,0.000033499105,0.00017117137,0.00014178768,0.00004125446],"domain_scores_gemma":[0.9997794,0.000050495677,0.0000345496,0.000031432162,0.0000901566,0.000013989139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003229943,0.00063267635,0.0004710576,0.00065616675,0.00064345804,0.0008796913,0.0008058329,0.00050675136,0.0046092593],"category_scores_gemma":[0.0006634747,0.00018287559,0.00030815616,0.00057016325,0.00050492154,0.0008012665,0.00056987314,0.0003799369,0.0007324915],"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":[0.00053647114,0.00012253497,0.0013215028,0.00044111133,0.00007917188,0.00056540413,0.0005672382,0.36485893,0.042579725,0.06714395,0.007882894,0.5139011],"study_design_scores_gemma":[0.00012160695,0.00030521996,0.0005525512,0.000030111116,0.000056165765,0.00044980226,0.0000667424,0.96327287,0.01146421,0.010976581,0.012670534,0.000033638113],"about_ca_topic_score_codex":0.0023947433,"about_ca_topic_score_gemma":0.0014723619,"teacher_disagreement_score":0.0046092593,"about_ca_system_score_codex":0.0005293379,"about_ca_system_score_gemma":0.0005595981,"threshold_uncertainty_score":0.015419483},"labels":[],"label_agreement":null},{"id":"W3193296047","doi":"10.3390/en14164958","title":"Modeling and Control of Dynamic Stall Loads on a Smart Airfoil at Low Reynolds Number","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Airfoil; Stall (fluid mechanics); Laminar flow; Control theory (sociology); Reynolds number; Mechanics; Trailing edge; NACA airfoil; Aerodynamics; Wind tunnel; Leading edge; Flow separation; Angle of attack; Aerospace engineering; Computer science; Engineering; Physics; Boundary layer","score_opus":0.003479979390829005,"score_gpt":0.18289230375367937,"score_spread":0.17941232436285037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193296047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.642262,0.0002044562,0.34935573,0.00009707154,0.00004698476,0.00008075314,0.000121770325,0.0007552067,0.00707598],"genre_scores_gemma":[0.99205655,0.00004325653,0.006822857,0.000007697294,0.0000041318062,0.000026975722,0.000030200255,0.00001686691,0.0009914023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999194,0.000012298271,0.0000044383646,0.000017736418,0.00003027789,0.000015892245],"domain_scores_gemma":[0.99987423,0.00004373061,0.000026971058,0.000022766533,0.000023662255,0.000008577268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014872698,0.00043349407,0.00031094826,0.00018091402,0.00021587449,0.0003269173,0.00040962407,0.00033824326,0.0006281227],"category_scores_gemma":[0.00036385967,0.00017868553,0.00026764942,0.000051098497,0.0004799993,0.00036236044,0.00038062021,0.00031868424,0.00012286693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051362294,0.000017418753,0.0009877995,0.000035824018,0.0000066389093,0.0000567833,0.000042022275,0.9718608,0.019201651,0.0012408181,0.00011416684,0.0063846167],"study_design_scores_gemma":[0.0000032556559,0.000022244656,0.00031186204,0.0000014366593,0.0000017903452,0.0000058797345,0.0000036333945,0.9978278,0.0015385944,0.000096038784,0.00018518405,0.0000022051233],"about_ca_topic_score_codex":0.0036407975,"about_ca_topic_score_gemma":0.002617401,"teacher_disagreement_score":0.0036407975,"about_ca_system_score_codex":0.00023540996,"about_ca_system_score_gemma":0.00033620084,"threshold_uncertainty_score":0.0072392225},"labels":[],"label_agreement":null},{"id":"W3193609825","doi":"10.3390/en14165102","title":"Passive Front Propagation in Intense Turbulence: Early Transient and Late Statistically Stationary Stages of the Front Area Evolution","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office National d'études et de Recherches Aérospatiales; Ministry of Education and Science of the Russian Federation; Canada Excellence Research Chairs, Government of Canada","keywords":"Turbulence; Front (military); Mechanics; Reynolds number; Front velocity; Scaling; Physics; Turbulence kinetic energy; Isotropy; Length scale; Kolmogorov microscales; Homogeneous isotropic turbulence; Geometry; Mathematics; Meteorology; Direct numerical simulation; Optics; K-omega turbulence model","score_opus":0.0043968001733385295,"score_gpt":0.1796536833776186,"score_spread":0.1752568832042801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193609825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474581,0.0006440919,0.047763962,0.000040799274,0.00001295196,0.000024930205,0.00007231206,0.00010986774,0.003873075],"genre_scores_gemma":[0.99737215,0.00015192073,0.002008439,0.0000038573003,0.000009244442,0.000007144879,0.00003268044,0.000011861599,0.00040265912],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999019,0.000015950423,0.0000056718504,0.000018818762,0.000022724604,0.00003486402],"domain_scores_gemma":[0.99928814,0.00030935323,0.00022122396,0.000047839298,0.00006466949,0.000068788606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033878803,0.00045917765,0.00021849232,0.00082259567,0.00028594644,0.00078795385,0.0002965528,0.00034585557,0.0007371809],"category_scores_gemma":[0.0010668366,0.0002167872,0.00040874118,0.00028947616,0.00077568775,0.00073162816,0.0004959549,0.000340387,0.0001320591],"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":[0.0018653496,0.00048720822,0.07814428,0.0005060625,0.00007295251,0.0020066116,0.0014490412,0.10080025,0.6721638,0.065833,0.0006228981,0.076048605],"study_design_scores_gemma":[0.000061525134,0.0010458091,0.1620514,0.000088599394,0.00008669107,0.001006761,0.0004848996,0.6447042,0.16159037,0.026684478,0.0020555009,0.00013979325],"about_ca_topic_score_codex":0.00076699414,"about_ca_topic_score_gemma":0.000492328,"teacher_disagreement_score":0.00082259567,"about_ca_system_score_codex":0.0005084802,"about_ca_system_score_gemma":0.00023095374,"threshold_uncertainty_score":0.0036893487},"labels":[],"label_agreement":null},{"id":"W3193915105","doi":"10.3390/en14164987","title":"Optimal Decision Making in Electrical Systems Using an Asset Risk Management Framework","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Risk analysis (engineering); Asset management; Asset (computer security); Risk management; Computer science; Business; Finance; Computer security","score_opus":0.010319420719680233,"score_gpt":0.2530279913425396,"score_spread":0.2427085706228594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193915105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061527053,0.0005703581,0.98936427,0.00031848735,0.000031742893,0.0001078409,0.000064574684,0.000074760355,0.0033151621],"genre_scores_gemma":[0.40616536,0.0015962346,0.5874066,0.00018189932,0.00019247828,0.0007278562,0.00021328511,0.00012264431,0.0033936682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99611866,0.0024443653,0.00015933192,0.00037447215,0.0005905892,0.0003124763],"domain_scores_gemma":[0.99423957,0.004774284,0.00037340395,0.00011871037,0.000349311,0.000144754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007801566,0.0020292944,0.0024583451,0.0018050384,0.0008842102,0.0034793334,0.0018530056,0.0018831152,0.004309541],"category_scores_gemma":[0.0088481875,0.0012891521,0.0023015495,0.0016605646,0.0019379854,0.0023739054,0.0021070733,0.0024958253,0.00033539184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001525173,0.000021660342,0.0001641335,0.000067521425,0.0000530451,0.000037216643,0.000041709336,0.9643613,0.00010800816,0.028460298,0.00018561247,0.0064841905],"study_design_scores_gemma":[0.000012319854,0.00002831512,0.00005198837,0.000030129422,0.000018810364,0.000012949657,0.000019372224,0.9645693,0.00012506449,0.034442432,0.0006807856,0.000008519118],"about_ca_topic_score_codex":0.0058077723,"about_ca_topic_score_gemma":0.0050972714,"teacher_disagreement_score":0.007801566,"about_ca_system_score_codex":0.0029211338,"about_ca_system_score_gemma":0.004106457,"threshold_uncertainty_score":0.04125911},"labels":[],"label_agreement":null},{"id":"W3195106844","doi":"10.3390/en14175229","title":"Elliptic Array Luminescent Solar Concentrators for Combined Power Generation and Microalgae Growth","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Photochemistry and Electron Transfer Studies","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Irradiance; Photovoltaic system; Photobioreactor; Optics; Optoelectronics; Energy conversion efficiency; Electricity generation; Radiation; Planar; Broadband; Electric power; Solar irradiance; Materials science; Power (physics); Physics; Computer science; Electrical engineering; Engineering; Meteorology","score_opus":0.009271830298745376,"score_gpt":0.21103624304090043,"score_spread":0.20176441274215506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195106844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80912435,0.0023955654,0.16598906,0.00036410382,0.000111695874,0.00008907397,0.00025993361,0.0006125746,0.021053644],"genre_scores_gemma":[0.96098936,0.0008914534,0.03439889,0.0000627608,0.0000130198705,0.00004938038,0.000097740616,0.000026502592,0.0034707668],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994624,0.000003600106,0.0000016685717,0.0000129910895,0.000026559383,0.000008956379],"domain_scores_gemma":[0.9999565,0.000009211743,0.000012554329,0.0000049816235,0.000012800257,0.000004049143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009787281,0.00021066803,0.00016568833,0.0001121852,0.00015050238,0.00026314272,0.00023722621,0.00022008157,0.0012046741],"category_scores_gemma":[0.0001149028,0.00011372109,0.00016513644,0.000188549,0.00015561661,0.00032967151,0.00026581812,0.00022745547,0.00041187793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086249594,0.000063109735,0.0009949717,0.00019530256,0.00002365796,0.0001328941,0.00006026592,0.025542913,0.94202536,0.0050210543,0.0007881134,0.025066026],"study_design_scores_gemma":[0.000023113256,0.0001668114,0.0013247113,0.000013762308,0.00002085052,0.00010263612,0.000046631405,0.11183041,0.8731276,0.00088126253,0.0124424035,0.000019890318],"about_ca_topic_score_codex":0.0003848851,"about_ca_topic_score_gemma":0.0008250944,"teacher_disagreement_score":0.0012046741,"about_ca_system_score_codex":0.00033454353,"about_ca_system_score_gemma":0.00017197462,"threshold_uncertainty_score":0.004030049},"labels":[],"label_agreement":null},{"id":"W3195748770","doi":"10.3390/en14165207","title":"Review of Wind Turbine Icing Modelling Approaches","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Icing; Wind power; Icing conditions; Marine engineering; Turbine; Environmental science; Meteorology; Turbine blade; Accretion (finance); Airfoil; Computational fluid dynamics; Wind speed; Engineering; Aerospace engineering","score_opus":0.045196962565660394,"score_gpt":0.2090033477089962,"score_spread":0.16380638514333581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195748770","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":[0.0034735734,0.8700829,0.0938746,0.0014187411,0.0020918343,0.000109412205,0.0013271411,0.0007699392,0.026851822],"genre_scores_gemma":[0.021949138,0.9259254,0.038581707,0.0004586071,0.0014765885,0.00012360388,0.0020790654,0.00025153227,0.009154294],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994797,0.00007935685,0.000085114814,0.000089786496,0.00024144413,0.00002471678],"domain_scores_gemma":[0.99911267,0.0004206663,0.000089608555,0.00006577696,0.00028472464,0.000026549695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007110544,0.0015413822,0.0010986604,0.0025255424,0.00042933755,0.0019014458,0.0018838106,0.0012986603,0.0055183023],"category_scores_gemma":[0.0016405899,0.00077403116,0.0013173065,0.0040299105,0.00033512927,0.0020525,0.0006692376,0.0010526066,0.0040330277],"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":[0.00007903545,0.00007226671,0.0010325098,0.021488143,0.00020261091,0.00042046068,0.00029978182,0.069313884,0.0041974634,0.024834938,0.061323736,0.8167352],"study_design_scores_gemma":[0.000014386999,0.00009159269,0.0016585389,0.005342425,0.0001949672,0.0006335344,0.00016071339,0.039460175,0.0017845825,0.011566682,0.93899715,0.00009522244],"about_ca_topic_score_codex":0.0035624548,"about_ca_topic_score_gemma":0.0028922628,"teacher_disagreement_score":0.0055183023,"about_ca_system_score_codex":0.0005113473,"about_ca_system_score_gemma":0.0012066764,"threshold_uncertainty_score":0.018460512},"labels":[],"label_agreement":null},{"id":"W3195959125","doi":"10.3390/en14165158","title":"Modeling of Average Current in Ideal and Non-Ideal Boost and Synchronous Boost Converters","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Converters; Control theory (sociology); MATLAB; Inductor; Transfer function; Duty cycle; Ideal (ethics); Boost converter; Electronic engineering; Computer science; Voltage; Engineering; Electrical engineering","score_opus":0.00638769545988866,"score_gpt":0.21062820315749042,"score_spread":0.20424050769760177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195959125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03290529,0.00047299592,0.94440144,0.000074627394,0.000072749055,0.000078400684,0.00013665057,0.0010414349,0.020816451],"genre_scores_gemma":[0.9519571,0.0005373053,0.037772186,0.000039315924,0.0000397832,0.00011608113,0.00012732857,0.00007997801,0.009330798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997558,0.000041084077,0.00001345356,0.000041662584,0.00012519168,0.000022862807],"domain_scores_gemma":[0.9998481,0.000048805712,0.000026278336,0.000020196585,0.000049612932,0.000007001968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032874095,0.0004562526,0.00045802767,0.0004896517,0.0002829776,0.0008825773,0.0011781367,0.00044393327,0.002270823],"category_scores_gemma":[0.00042023158,0.00019033001,0.0004812729,0.00036132248,0.00037610903,0.0008236266,0.00026700227,0.00043881583,0.00055394927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015984633,0.000108133194,0.0010800699,0.00033013994,0.000042830343,0.00025870485,0.00029322732,0.864655,0.036593344,0.04587816,0.0012210461,0.049379464],"study_design_scores_gemma":[0.000005489511,0.00004772179,0.00022646005,0.0000074750174,0.0000099534145,0.000057046156,0.000012232592,0.9882201,0.0038582839,0.0049748905,0.0025750864,0.0000052606806],"about_ca_topic_score_codex":0.0016161697,"about_ca_topic_score_gemma":0.0013155199,"teacher_disagreement_score":0.002270823,"about_ca_system_score_codex":0.0005471441,"about_ca_system_score_gemma":0.00042698276,"threshold_uncertainty_score":0.0075966716},"labels":[],"label_agreement":null},{"id":"W3196316717","doi":"10.3390/en14185665","title":"A Two-Parameter Model for Water-Lubricated Pipeline Transportation of Unconventional Crudes","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"King Faisal University; Deanship of Scientific Research, King Faisal University; Cranfield University","keywords":"Petroleum engineering; Pipeline transport; Range (aeronautics); Reliability (semiconductor); Current (fluid); Pipeline (software); Flow (mathematics); Mean squared error; Volumetric flow rate; Coefficient of determination; Environmental science; Mechanics; Mathematics; Materials science; Thermodynamics; Geology; Engineering; Statistics; Mechanical engineering; Environmental engineering","score_opus":0.013146941356343263,"score_gpt":0.22264446663827117,"score_spread":0.20949752528192792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196316717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19396524,0.0013708544,0.78519535,0.00070802995,0.00016732214,0.0002845305,0.0018199239,0.00057168066,0.015917055],"genre_scores_gemma":[0.96139383,0.000782388,0.022556057,0.00008789391,0.000032631753,0.00057693495,0.0009853505,0.00006989467,0.013514959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997652,0.000053439257,0.000017106637,0.00007732676,0.000054298253,0.000032550768],"domain_scores_gemma":[0.99963605,0.00017383324,0.000056386052,0.000022217338,0.00009574857,0.000015841322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055935734,0.0009409837,0.0010398523,0.0007422249,0.0004420425,0.0013094255,0.0019488476,0.0024962232,0.0026383407],"category_scores_gemma":[0.0013715115,0.0006078244,0.0012344115,0.0007011206,0.00058490876,0.0014021691,0.0007181605,0.0011639578,0.00054156774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002217826,0.000019869507,0.0004131851,0.00004264128,0.000011505445,0.000046806654,0.000025079018,0.99500024,0.0010745724,0.0012442804,0.00014633282,0.001953354],"study_design_scores_gemma":[0.0000042150436,0.000008488021,0.00012629741,0.0000036528916,0.0000041112185,0.0000063410134,0.000005076798,0.99908257,0.00017767902,0.0002935198,0.00028291263,0.0000052089067],"about_ca_topic_score_codex":0.012741612,"about_ca_topic_score_gemma":0.0059257695,"teacher_disagreement_score":0.012741612,"about_ca_system_score_codex":0.00088150497,"about_ca_system_score_gemma":0.0009803197,"threshold_uncertainty_score":0.025334895},"labels":[],"label_agreement":null},{"id":"W3196454038","doi":"10.3390/en14175412","title":"Decline in Share Prices of Energy and Fuel Companies on the Warsaw Stock Exchange as a Reaction to the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Economics; Quarter (Canadian coin); Stock (firearms); Pandemic; Business; Monetary economics; Financial economics; Value (mathematics); Energy policy; Econometrics; Coronavirus disease 2019 (COVID-19); Finance; Renewable energy; Engineering; Geography; Statistics","score_opus":0.10455943852451552,"score_gpt":0.29915567015497413,"score_spread":0.1945962316304586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196454038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976857,0.00009672057,0.00016764973,0.00024011487,0.000008308674,0.0000046512023,0.00043739926,0.000003636541,0.0013558392],"genre_scores_gemma":[0.9988121,0.00007440257,0.00003958091,0.0000138705345,0.000010483917,0.0000023324703,0.0003939163,0.0000013293488,0.0006520349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997992,0.000039265316,0.000024034314,0.000037824993,0.000060261245,0.000039409973],"domain_scores_gemma":[0.99751663,0.00062577805,0.0014326348,0.00007315476,0.00021113617,0.00014063882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005574182,0.00011916644,0.00014653883,0.00057471165,0.0001233347,0.00095299684,0.00016782996,0.00034568648,0.0018238617],"category_scores_gemma":[0.0036382608,0.000080417536,0.0001817403,0.000679793,0.00023024886,0.00061110494,0.0003036712,0.0005981047,0.0002510613],"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":[0.000509306,0.00008121741,0.98169863,0.000030661464,0.00009919375,0.00069271354,0.00041458814,0.0028509598,0.0012037528,0.001986427,0.001185806,0.009246651],"study_design_scores_gemma":[0.000010341484,0.000112278714,0.98830646,0.000009144449,0.0000298193,0.0002681703,0.0004550156,0.008266725,0.0009056688,0.0005031597,0.0011201386,0.000013005822],"about_ca_topic_score_codex":0.00511669,"about_ca_topic_score_gemma":0.004161485,"teacher_disagreement_score":0.00511669,"about_ca_system_score_codex":0.00047835356,"about_ca_system_score_gemma":0.00014705115,"threshold_uncertainty_score":0.010173857},"labels":[],"label_agreement":null},{"id":"W3196458727","doi":"10.3390/en14175478","title":"Optimal Sizing of Energy Storage System for Operation of Wind Farms Considering Grid-Code Constraints","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wind power; Sizing; Grid code; Grid; Energy storage; Electric power system; Constraint (computer-aided design); Computer data storage; Intermittent energy source; Computer science; Renewable energy; Mathematical optimization; Reliability engineering; Engineering; Automotive engineering; Power (physics); Distributed generation; Electrical engineering; AC power; Mathematics; Voltage","score_opus":0.008216961839436215,"score_gpt":0.19269186648487582,"score_spread":0.1844749046454396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196458727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2566312,0.0014230433,0.7162814,0.00046526932,0.00010082418,0.00034998698,0.00051422854,0.0005370939,0.02369691],"genre_scores_gemma":[0.9625828,0.00027692586,0.03566654,0.000027451426,0.00001239779,0.000114155795,0.00008519271,0.00002810598,0.0012064163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998344,0.000053318283,0.0000127299045,0.000036511898,0.000035164892,0.000027816179],"domain_scores_gemma":[0.9997795,0.0000911583,0.000056742425,0.000014304844,0.000043145385,0.000015174978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073323,0.0007955298,0.00080198806,0.0003891141,0.0002803526,0.001203466,0.00052087783,0.00048691078,0.0021635352],"category_scores_gemma":[0.0007410694,0.00037166345,0.0003391884,0.0005033673,0.0003204452,0.00078383717,0.00033395144,0.00044168535,0.00024144979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007096207,0.00003827919,0.00043258915,0.00011987653,0.000021767044,0.000071148825,0.000032965636,0.9700172,0.007099098,0.0035643508,0.0007175382,0.01781428],"study_design_scores_gemma":[0.000016369031,0.000053981883,0.0003837824,0.000011405454,0.000016813336,0.000022259692,0.000034111243,0.99578357,0.001630646,0.0016586097,0.00038232683,0.0000061156447],"about_ca_topic_score_codex":0.0031433005,"about_ca_topic_score_gemma":0.0058493754,"teacher_disagreement_score":0.0031433005,"about_ca_system_score_codex":0.0006704419,"about_ca_system_score_gemma":0.0012882364,"threshold_uncertainty_score":0.0072377324},"labels":[],"label_agreement":null},{"id":"W3196606717","doi":"10.3390/en14175421","title":"Construction Time Estimation Function for Canadian Utility Scale Power Plants","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Renewable energy; Estimation; Hydroelectricity; Function (biology); Scale (ratio); Nameplate capacity; Power station; Wind power; Solar power; Engineering; Environmental economics; Environmental resource management; Civil engineering; Power (physics); Electricity generation; Environmental science; Systems engineering; Geography; Economics; Electrical engineering","score_opus":0.0397495276972633,"score_gpt":0.305353325602522,"score_spread":0.2656037979052587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196606717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8504066,0.00070282695,0.1149726,0.0006427956,0.000038327198,0.0003906676,0.013310501,0.0010222804,0.018513484],"genre_scores_gemma":[0.9421812,0.00033421413,0.036286492,0.00004383747,0.00000777897,0.00019522296,0.011272163,0.000103186256,0.009575912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982504,0.00037673136,0.000107743545,0.0003111114,0.00065523345,0.00029884215],"domain_scores_gemma":[0.9905246,0.0047560115,0.00094351737,0.00041914114,0.003168543,0.00018819737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050854217,0.0005999915,0.00041550113,0.0025341264,0.0005332713,0.0011290422,0.0009161574,0.00054379663,0.004501097],"category_scores_gemma":[0.020382183,0.00025111207,0.0010840074,0.0034654038,0.00046305094,0.00044078354,0.0004891183,0.0009675541,0.0007364882],"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":[0.00042883918,0.00014184757,0.25633946,0.000232059,0.00014078426,0.00015257784,0.00069789606,0.5455544,0.0024238627,0.014628877,0.01044399,0.16881534],"study_design_scores_gemma":[0.000017593455,0.00010162728,0.27288938,0.00005604957,0.00005973015,0.0000848066,0.00048868055,0.7141746,0.0017770124,0.0013853165,0.008891175,0.000074048956],"about_ca_topic_score_codex":0.86600363,"about_ca_topic_score_gemma":0.8278291,"teacher_disagreement_score":0.13399637,"about_ca_system_score_codex":0.012856749,"about_ca_system_score_gemma":0.011326829,"threshold_uncertainty_score":0.26957095},"labels":[],"label_agreement":null},{"id":"W3196716206","doi":"10.3390/en14185666","title":"Anaerobic Digestion of Blood from Slaughtered Livestock: A Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Anaerobic digestion; Digestion (alchemy); Anaerobic exercise; Raw material; Pulp and paper industry; Food science; Biogas; Biotechnology; Livestock; Chemistry; Biology; Methane; Microbiology; Waste management; Chromatography; Physiology; Ecology; Engineering","score_opus":0.025184621763882843,"score_gpt":0.2630556548927865,"score_spread":0.23787103312890365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196716206","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":[0.00030806055,0.9986216,0.00021021995,0.0000648866,0.00009306088,0.000004270745,0.00002630441,0.00000635321,0.00066530996],"genre_scores_gemma":[0.0010759513,0.99808395,0.00030689215,0.00004449528,0.000051434745,0.0000046623068,0.000046924233,0.000002221696,0.0003834897],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997403,0.00003328803,0.000048057067,0.00005488907,0.00009795641,0.00002549664],"domain_scores_gemma":[0.99954754,0.00023071082,0.00008514666,0.000013996396,0.000094772615,0.000027770353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000605307,0.0010676408,0.0015126703,0.002417771,0.00022167705,0.0009747521,0.0007201391,0.00088422257,0.0026871203],"category_scores_gemma":[0.0006447616,0.00039777675,0.0007831924,0.0030591092,0.00037365206,0.001178869,0.0004911881,0.0008568983,0.0016922278],"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":[0.00012148804,0.00014297121,0.00025720688,0.057042513,0.00019404202,0.00018908466,0.00006148699,0.0008394671,0.0056336774,0.0022299823,0.011017332,0.9222708],"study_design_scores_gemma":[0.000016194897,0.00027767944,0.0016075337,0.00754684,0.00034995226,0.001025825,0.000093314025,0.00026667368,0.003168049,0.001186778,0.9844222,0.000039089173],"about_ca_topic_score_codex":0.0010760496,"about_ca_topic_score_gemma":0.0014435834,"teacher_disagreement_score":0.0026871203,"about_ca_system_score_codex":0.00035165696,"about_ca_system_score_gemma":0.0008393051,"threshold_uncertainty_score":0.008989334},"labels":[],"label_agreement":null},{"id":"W3197369889","doi":"10.3390/en14175343","title":"Temperature Control to Improve Performance of Hempcrete-Phase Change Material Wall Assemblies in a Cold Climate","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phase-change material; Range (aeronautics); Materials science; Hysteresis; Thermal; Temperature control; Phase change; Thermal energy storage; Environmental science; Phase transition; Phase (matter); Energy (signal processing); Nuclear engineering; Simulation; Mechanical engineering; Computer science; Mechanics; Composite material; Thermodynamics; Engineering; Chemistry; Engineering physics; Physics","score_opus":0.019222372868939203,"score_gpt":0.2725064449717681,"score_spread":0.25328407210282894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197369889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98846173,0.0003890827,0.009883305,0.00002099258,0.000040008934,0.000014654246,0.000065575325,0.00015257702,0.0009721786],"genre_scores_gemma":[0.99370253,0.00013402355,0.0054558674,0.0000137343795,0.0000044357594,0.000020541202,0.00007070578,0.000023796465,0.000574407],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998989,0.000010360514,0.0000068699655,0.000022635186,0.00003900989,0.000022221995],"domain_scores_gemma":[0.9998903,0.000025543013,0.00003163187,0.000011325058,0.000029164803,0.000011969896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017182923,0.0004000293,0.00022475641,0.0001726091,0.00013361493,0.0002689017,0.00024405614,0.00022184178,0.00090618356],"category_scores_gemma":[0.00029646233,0.00015232948,0.00023845394,0.00015730121,0.00013157229,0.00037800078,0.0001947574,0.0003495104,0.00024153912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013167257,0.000048205522,0.0006250979,0.00010456556,0.000006630508,0.000063775165,0.000022260067,0.00454032,0.98831475,0.00019552064,0.00010400535,0.005843206],"study_design_scores_gemma":[0.000007461352,0.00039768347,0.0018241531,0.0000066683265,0.000013287097,0.000042248383,0.000019970925,0.015448852,0.9810501,0.00003536724,0.0011462347,0.00000794481],"about_ca_topic_score_codex":0.00020885143,"about_ca_topic_score_gemma":0.0005650814,"teacher_disagreement_score":0.00090618356,"about_ca_system_score_codex":0.00015600823,"about_ca_system_score_gemma":0.00011012915,"threshold_uncertainty_score":0.0030314326},"labels":[],"label_agreement":null},{"id":"W3197534538","doi":"10.3390/en14175585","title":"A New Evaluation of Skin Factor in Inclined Wells with Anisotropic Permeability","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Anisotropy; Wellbore; Skin effect; Permeability (electromagnetism); Geology; Mechanics; Pressure drop; RADIUS; Inclination angle; Shape factor; Borehole; Petroleum engineering; Geotechnical engineering; Geometry; Engineering; Optics; Structural engineering; Mathematics; Physics","score_opus":0.012389460856870434,"score_gpt":0.24176318200798103,"score_spread":0.2293737211511106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197534538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66912585,0.000523117,0.3241016,0.000046438316,0.000026314852,0.00011160091,0.00037459866,0.00059022434,0.005100251],"genre_scores_gemma":[0.9832276,0.00013990652,0.016232463,0.000004719338,0.000003962652,0.0000145086915,0.000082445105,0.000022659153,0.00027165623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993143,0.000109601206,0.00006621392,0.00013929706,0.00027793026,0.00009262651],"domain_scores_gemma":[0.99793375,0.0008228357,0.0005219307,0.00019898225,0.00044046223,0.00008209356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008763595,0.0008041514,0.0005137427,0.0020914208,0.0002451595,0.0010309024,0.0004911302,0.00061886734,0.0010884529],"category_scores_gemma":[0.004314975,0.0002501703,0.0005707439,0.0018650921,0.00057634996,0.0016557943,0.0006606788,0.00039487405,0.00016826468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005891246,0.0002631474,0.11150372,0.00043596246,0.00014469001,0.0012026861,0.0002576664,0.621312,0.13662803,0.0069280663,0.0005299369,0.120204836],"study_design_scores_gemma":[0.000012153963,0.00027858972,0.03530055,0.000034900695,0.00006254227,0.00046940107,0.00018426724,0.9178412,0.04316907,0.0016357729,0.00092518755,0.00008635385],"about_ca_topic_score_codex":0.002452985,"about_ca_topic_score_gemma":0.0022386825,"teacher_disagreement_score":0.002452985,"about_ca_system_score_codex":0.0005553918,"about_ca_system_score_gemma":0.00052201556,"threshold_uncertainty_score":0.0048773885},"labels":[],"label_agreement":null},{"id":"W3197672705","doi":"10.3390/en14175484","title":"Design and Modeling of Metallic Bipolar Plates for a Fuel Cell Range Extender","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Coolant; Anode; Cathode; Heat exchanger; Materials science; Mechanical engineering; Nuclear engineering; Flow (mathematics); Computer science; Electrical engineering; Engineering; Mechanics; Chemistry; Electrode; Physics","score_opus":0.021827619988951986,"score_gpt":0.20558308941352652,"score_spread":0.18375546942457452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197672705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15795389,0.0022847229,0.60664093,0.0007146964,0.0003658544,0.00046326325,0.0019317922,0.0023942788,0.22725055],"genre_scores_gemma":[0.87307966,0.0013082661,0.07509407,0.00012236634,0.000051008567,0.00054431194,0.00048509063,0.00029585176,0.04901934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998747,0.000013232669,0.0000030619042,0.00002082228,0.00006570357,0.00002241835],"domain_scores_gemma":[0.99990654,0.000026201644,0.00001753837,0.000009103187,0.000028703556,0.000011922673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019956598,0.0006763445,0.00057287817,0.000450169,0.0005380184,0.0013085996,0.0013011866,0.0016918506,0.0073205745],"category_scores_gemma":[0.00035469426,0.0005096535,0.0006296569,0.00036668498,0.0004372496,0.0004378145,0.00041691633,0.00045579486,0.0023177841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008923539,0.00003149774,0.00047482157,0.00014337241,0.000016089345,0.00028230803,0.00005884974,0.9640756,0.020402404,0.007155145,0.0011304405,0.0061402163],"study_design_scores_gemma":[0.000020078049,0.00006983183,0.0002380584,0.000019375408,0.00001677915,0.00009867957,0.000027411501,0.9882208,0.0048549045,0.000984619,0.005435043,0.000014483084],"about_ca_topic_score_codex":0.004390837,"about_ca_topic_score_gemma":0.002718193,"teacher_disagreement_score":0.0073205745,"about_ca_system_score_codex":0.00086076045,"about_ca_system_score_gemma":0.0010323928,"threshold_uncertainty_score":0.02448976},"labels":[],"label_agreement":null},{"id":"W3197760633","doi":"10.3390/en14175566","title":"Consumer versus Organic Products in the COVID-19 Pandemic: Opportunities and Barriers to Market Development","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":61,"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":"Uniwersytet Przyrodniczy w Lublinie","keywords":"Marketing; Business; Purchasing; Organic product; Sample (material); Product (mathematics); Pandemic; Expiration date; Quarter (Canadian coin); Distribution (mathematics); Advertising; Coronavirus disease 2019 (COVID-19); Geography; Agriculture; Food science; Medicine","score_opus":0.06895927912880143,"score_gpt":0.24083161944087503,"score_spread":0.1718723403120736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197760633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944629,0.0002402998,0.000066396155,0.00044441695,0.000004105617,0.000015474203,0.000015645786,9.1173774e-7,0.004749742],"genre_scores_gemma":[0.99821764,0.0003274843,0.00009064472,0.000087027795,0.000004463936,0.000008032916,0.000017735267,0.0000012396944,0.0012455991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932873,0.00016724721,0.00003113279,0.000072049595,0.00017632848,0.0002245986],"domain_scores_gemma":[0.99908435,0.0003295505,0.00032982184,0.000021572861,0.00009846478,0.00013621016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009769719,0.00010392494,0.00015723583,0.00044598107,0.0007873575,0.001994408,0.00023697439,0.0005435313,0.0044715223],"category_scores_gemma":[0.0018538781,0.00013525407,0.00014460528,0.00053807173,0.0008745239,0.001467191,0.0011194944,0.00052329287,0.0002866239],"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":[0.0005552601,0.00085315807,0.7887035,0.0005592694,0.000047397152,0.0036032298,0.09756432,0.0002121923,0.0070898538,0.011636427,0.0021685476,0.087006755],"study_design_scores_gemma":[0.00001682184,0.00026258884,0.6886761,0.00018793871,0.000024867753,0.0010283269,0.28379157,0.000595041,0.0008523918,0.0009751969,0.023558969,0.000030171132],"about_ca_topic_score_codex":0.0064436253,"about_ca_topic_score_gemma":0.008349913,"teacher_disagreement_score":0.0064436253,"about_ca_system_score_codex":0.0007274429,"about_ca_system_score_gemma":0.00085614005,"threshold_uncertainty_score":0.01495868},"labels":[],"label_agreement":null},{"id":"W3197921256","doi":"10.3390/en14175362","title":"Healthy and Faulty Experimental Performance of a Typical HVAC System under Italian Climatic Conditions: Artificial Neural Network-Based Model and Fault Impact Assessment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"European Regional Development Fund; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"HVAC; TRNSYS; Artificial neural network; Transient (computer programming); Fault (geology); Engineering; Test data; Simulation; Air conditioning; Computer science; Reliability engineering; Control engineering; Energy (signal processing); Artificial intelligence; Mechanical engineering","score_opus":0.017274968730896602,"score_gpt":0.27897594089891936,"score_spread":0.26170097216802274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197921256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99243695,0.000047198482,0.006150693,0.000023229612,0.000017805905,0.000026365484,0.0004513032,0.00012870919,0.00071767514],"genre_scores_gemma":[0.99886477,0.00001708178,0.00067161943,0.0000031977656,0.000001436743,0.000019984265,0.000236306,0.0000044399967,0.00018120835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997155,0.00006777468,0.000025195437,0.000082444625,0.00005842688,0.000050661412],"domain_scores_gemma":[0.9994449,0.0002465463,0.000081191145,0.00008715616,0.00011503121,0.000025230813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045809365,0.00078442856,0.00042270325,0.00043549525,0.00023817127,0.00033999182,0.000579733,0.00061917055,0.0008353091],"category_scores_gemma":[0.0008761933,0.00016287161,0.0005911489,0.00027172992,0.00046469824,0.00026350952,0.0002832364,0.00031038464,0.00014740477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005857147,0.00029905228,0.011896431,0.00014698665,0.00007256326,0.00022013794,0.00007754537,0.9651783,0.013244681,0.00022180696,0.00037843466,0.0076784086],"study_design_scores_gemma":[0.000030533218,0.0005032049,0.02600422,0.000010378393,0.00004746912,0.000052400308,0.00006742528,0.9565518,0.016313676,0.00017819036,0.00021842126,0.000022294376],"about_ca_topic_score_codex":0.008633756,"about_ca_topic_score_gemma":0.007255627,"teacher_disagreement_score":0.008633756,"about_ca_system_score_codex":0.0007201596,"about_ca_system_score_gemma":0.00034668317,"threshold_uncertainty_score":0.017167032},"labels":[],"label_agreement":null},{"id":"W3198151891","doi":"10.3390/en14175488","title":"Impact of Fracture Topology on the Fluid Flow Behavior of Naturally Fractured Reservoirs","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Energi Simulation","keywords":"Permeability (electromagnetism); Fracture (geology); Fluid dynamics; Polygon mesh; Geology; Mechanics; Finite element method; Flow (mathematics); Topology (electrical circuits); Matrix (chemical analysis); Network model; Reservoir simulation; Relative permeability; Porous medium; Geotechnical engineering; Porosity; Geometry; Computer science; Petroleum engineering; Mathematics; Structural engineering; Engineering; Materials science; Physics; Chemistry; Artificial intelligence","score_opus":0.010664043013807877,"score_gpt":0.2568428620372425,"score_spread":0.2461788190234346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198151891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956078,0.00005445073,0.0035751238,0.000024674175,0.0000038104545,0.0000062913355,0.00004918013,0.000026738135,0.000651893],"genre_scores_gemma":[0.99922585,0.000026689848,0.0006622716,0.0000016084068,5.232146e-7,0.000002714517,0.000019757224,0.000002463712,0.0000581203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998654,0.00003448943,0.000010147854,0.000025269681,0.0000338117,0.000030802345],"domain_scores_gemma":[0.999539,0.0002710191,0.00007742179,0.000028595403,0.00005781495,0.000026148535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002725054,0.00027351637,0.0002536894,0.0005360234,0.00028828552,0.00049052504,0.00031327817,0.00040777755,0.0004197655],"category_scores_gemma":[0.0016255025,0.00016678807,0.00030233889,0.00026636687,0.00061119406,0.0004730174,0.0002818865,0.00021937951,0.000036552326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088074965,0.00006723883,0.02034241,0.000048577494,0.000021327094,0.0002393756,0.00008946826,0.9511722,0.0208912,0.0012635886,0.000055305878,0.005721329],"study_design_scores_gemma":[0.000008215465,0.00010965837,0.009376055,0.0000134615,0.000015063403,0.00008837006,0.00011121054,0.9825629,0.006921643,0.00053817173,0.00023640602,0.000018818107],"about_ca_topic_score_codex":0.007314367,"about_ca_topic_score_gemma":0.005384496,"teacher_disagreement_score":0.007314367,"about_ca_system_score_codex":0.00045400852,"about_ca_system_score_gemma":0.00037731527,"threshold_uncertainty_score":0.014543533},"labels":[],"label_agreement":null},{"id":"W3198690841","doi":"10.3390/en14185648","title":"Assessing the Energy, Indoor Air Quality, and Moisture Performance for a Three-Story Building Using an Integrated Model, Part Three: Development of Integrated Model and Applications","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"ASHRAE 90.1; Indoor air quality; Environmental science; Moisture; Efficient energy use; Air quality index; Simulation; Meteorology; Engineering; Environmental engineering","score_opus":0.04795724620052525,"score_gpt":0.2857031569005671,"score_spread":0.23774591070004183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198690841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74599904,0.00029854017,0.23894925,0.00018487788,0.000057829908,0.00020884597,0.001175671,0.00082646764,0.012299478],"genre_scores_gemma":[0.97517836,0.00019091896,0.02169255,0.000018114522,0.0000066890416,0.00014260548,0.0004986231,0.000034601548,0.0022375847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984777,0.000026419448,0.000007377755,0.000032953994,0.000060818908,0.000024679093],"domain_scores_gemma":[0.9998652,0.000036098438,0.000014638738,0.000017902928,0.000056228942,0.000009927536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027793742,0.0008268621,0.000578995,0.0004303751,0.00043183172,0.00080022577,0.0012547582,0.0009901215,0.0011676764],"category_scores_gemma":[0.00041571187,0.00036140755,0.0012357956,0.0006105574,0.00027194247,0.0006672229,0.00043334038,0.00048843457,0.00020780462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025742796,0.00004979385,0.0028516361,0.000035503246,0.000020873413,0.000051040737,0.000023752993,0.9882597,0.0035492047,0.00041127342,0.00012870748,0.0045928103],"study_design_scores_gemma":[0.0000065144322,0.000039831823,0.0011482373,0.0000039347815,0.000017850112,0.000011065645,0.000018923876,0.99704677,0.0013245322,0.0001268019,0.00024843946,0.0000071039353],"about_ca_topic_score_codex":0.052311152,"about_ca_topic_score_gemma":0.041124158,"teacher_disagreement_score":0.052311152,"about_ca_system_score_codex":0.0011528252,"about_ca_system_score_gemma":0.0012012498,"threshold_uncertainty_score":0.104013324},"labels":[],"label_agreement":null},{"id":"W3198848706","doi":"10.3390/en14175393","title":"A Novel Sooty Terns Algorithm for Deregulated MPC-LFC Installed in Multi-Interconnected System with Renewable Energy Plants","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Firefly algorithm; Control theory (sociology); Photovoltaic system; Renewable energy; Model predictive control; Algorithm; Computer science; Electric power system; Engineering; Particle swarm optimization; Power (physics); Electrical engineering; Physics","score_opus":0.01283139127916921,"score_gpt":0.19980056459288345,"score_spread":0.18696917331371424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198848706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021335792,0.00012965726,0.97380835,0.00007591218,0.00003861716,0.00005386646,0.000040209907,0.00039037058,0.00412727],"genre_scores_gemma":[0.7360013,0.00014697951,0.25935844,0.00010109,0.00003322974,0.0002632122,0.00020201321,0.000101242345,0.0037924682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998017,0.000052684027,0.000011291413,0.000041378913,0.000061822495,0.000031102405],"domain_scores_gemma":[0.9997955,0.00007670348,0.000037541733,0.000016751237,0.000059161728,0.000014434631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039876942,0.0006420696,0.0006714084,0.0004376382,0.0003843245,0.0006813006,0.0006576571,0.00073939253,0.0019503308],"category_scores_gemma":[0.00075307325,0.00028239918,0.0005091332,0.00041019087,0.00034682962,0.00045618808,0.0005573717,0.0006470001,0.00030345848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000595585,0.00002424824,0.00034469485,0.000036992387,0.000029458382,0.000033477954,0.000031403564,0.95422065,0.0013019973,0.0038552817,0.00047454683,0.03958773],"study_design_scores_gemma":[0.0000065117893,0.00001829402,0.000041420615,0.0000021595633,0.0000023751368,0.0000051452544,0.0000033261315,0.9989851,0.00022030414,0.00041370778,0.00030009032,0.0000014890097],"about_ca_topic_score_codex":0.0050659264,"about_ca_topic_score_gemma":0.004373354,"teacher_disagreement_score":0.0050659264,"about_ca_system_score_codex":0.00047185124,"about_ca_system_score_gemma":0.0009448378,"threshold_uncertainty_score":0.010072887},"labels":[],"label_agreement":null},{"id":"W3199088580","doi":"10.3390/en14185780","title":"Power Enhancement of a Vertical Axis Wind Turbine Equipped with an Improved Duct","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Duct (anatomy); Turbine; Shroud; Mechanics; Nozzle; Stall (fluid mechanics); Vortex; Wind power; Engineering; Physics; Mechanical engineering; Electrical engineering","score_opus":0.008123036199736845,"score_gpt":0.2219905099022665,"score_spread":0.21386747370252965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199088580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875257,0.00011020552,0.0075183604,0.00005186236,0.00003129758,0.000020943758,0.00012827197,0.00016976803,0.0044435537],"genre_scores_gemma":[0.9962353,0.000053895856,0.0026191315,0.000005366498,0.0000028683621,0.000009981461,0.00006476174,0.000011834776,0.0009969128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999472,0.000013822955,0.00000266034,0.00000936087,0.000015271273,0.000011799802],"domain_scores_gemma":[0.9998977,0.000034925604,0.000021673768,0.000011099711,0.00002228145,0.0000122548145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017809903,0.00035182512,0.00038869533,0.0001827534,0.00019382688,0.0003163356,0.00024144404,0.00033167744,0.0016032051],"category_scores_gemma":[0.0001786109,0.00014853266,0.0002729935,0.00019863255,0.00023877039,0.00022133977,0.00019427741,0.00019879664,0.00017887526],"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":[0.0011521042,0.00041379055,0.011280742,0.00040054065,0.000056548935,0.0012728141,0.00012235089,0.5726204,0.37467137,0.0026114222,0.0015614057,0.033836577],"study_design_scores_gemma":[0.00015201877,0.002836978,0.016884048,0.000025782934,0.000056051173,0.00014832796,0.00008254435,0.86251456,0.11413239,0.00034753216,0.0027823513,0.00003749013],"about_ca_topic_score_codex":0.00074025017,"about_ca_topic_score_gemma":0.00079109945,"teacher_disagreement_score":0.0016032051,"about_ca_system_score_codex":0.00015109034,"about_ca_system_score_gemma":0.000154054,"threshold_uncertainty_score":0.0053632855},"labels":[],"label_agreement":null},{"id":"W3199576517","doi":"10.3390/en14185705","title":"Organic Rankine Cycle-Ground Source Heat Pump with Seasonal Energy Storage Based Micro-Cogeneration System in Cold Climates: The Case for Canada","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","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":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"TRNSYS; Cogeneration; Organic Rankine cycle; Heat pump; Thermal energy storage; Heating system; Heat exchanger; Environmental science; Engineering; Process engineering; Automotive engineering; Waste management; Thermal; Mechanical engineering; Meteorology; Waste heat; Electricity generation; Thermodynamics","score_opus":0.006367768825336056,"score_gpt":0.18622429540012195,"score_spread":0.1798565265747859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199576517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869279,0.00023511566,0.0036550458,0.00018839557,0.00001878712,0.00009326212,0.00020320319,0.00015416731,0.008524076],"genre_scores_gemma":[0.9946412,0.00015496719,0.002021102,0.000013879349,0.0000012373276,0.000010519051,0.00008373065,0.000009202009,0.0030642606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977714,0.000025872547,0.0000060109105,0.00003133156,0.000072105926,0.000087601606],"domain_scores_gemma":[0.9998666,0.000016009248,0.000006693789,0.000009590944,0.00007428548,0.000026859834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002590125,0.00042575487,0.00031909224,0.00028784169,0.0014922845,0.0010546127,0.0009338421,0.0003963758,0.0018689969],"category_scores_gemma":[0.000251804,0.00019170182,0.0004600872,0.0006341898,0.00060662616,0.0005464936,0.0004945311,0.00032725747,0.00017834475],"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":[0.0033509047,0.0013079852,0.10815549,0.0009373234,0.00031486718,0.006960128,0.0017302129,0.60594827,0.092172585,0.011602037,0.008308773,0.15921137],"study_design_scores_gemma":[0.00047157877,0.0013692129,0.08915691,0.000074137526,0.00041576437,0.0005913736,0.006098605,0.8202882,0.050308097,0.0014239387,0.029593809,0.00020836967],"about_ca_topic_score_codex":0.80989665,"about_ca_topic_score_gemma":0.8874622,"teacher_disagreement_score":0.19010335,"about_ca_system_score_codex":0.007024869,"about_ca_system_score_gemma":0.00638136,"threshold_uncertainty_score":0.3824458},"labels":[],"label_agreement":null},{"id":"W3199725799","doi":"10.3390/en14185791","title":"Evaluation of Subsurface Heat Capacity through Oscillatory Thermal Response Tests","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Thermal conductivity; Volumetric heat capacity; Heat capacity; Thermal diffusivity; Thermal; Thermal effusivity; Environmental science; Heat exchanger; Thermal resistance; Soil thermal properties; Amplitude; Penetration depth; Materials science; Heat transfer; Soil science; Geotechnical engineering; Mechanics; Geology; Meteorology; Thermodynamics; Heat spreader; Soil water; Hydraulic conductivity; Composite material; Thermal contact conductance; Optics; Physics","score_opus":0.053294514869898384,"score_gpt":0.2862185928003083,"score_spread":0.23292407793040992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199725799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90954083,0.0002435429,0.08770111,0.000027712556,0.000020786887,0.00006664471,0.0004808823,0.0005613549,0.0013571084],"genre_scores_gemma":[0.99201643,0.00011420509,0.007408978,0.0000050097074,0.0000024225915,0.000047115085,0.00013644478,0.000029289957,0.00024023524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996685,0.000037147474,0.000022523414,0.00006779813,0.0001680975,0.000035892666],"domain_scores_gemma":[0.9992582,0.00035204185,0.000107888634,0.000082241255,0.00017683132,0.000022831258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055459014,0.0004850541,0.00034828138,0.00069780066,0.000120461686,0.0003984153,0.00044138145,0.00036187784,0.0011808426],"category_scores_gemma":[0.0014221465,0.00018058727,0.0003158877,0.0006143771,0.00035089877,0.0005684491,0.0003818701,0.0003210427,0.00019857234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005219238,0.00010603495,0.020320596,0.000520327,0.000047695255,0.00027551703,0.00033135497,0.058896653,0.8689073,0.0005320853,0.0002492997,0.049291242],"study_design_scores_gemma":[0.000032815253,0.00074242405,0.043411713,0.000053118016,0.000074996475,0.00020810275,0.00034184218,0.34572163,0.60728216,0.00065205956,0.0013879716,0.000091235066],"about_ca_topic_score_codex":0.0007423466,"about_ca_topic_score_gemma":0.00076386164,"teacher_disagreement_score":0.0011808426,"about_ca_system_score_codex":0.00019409726,"about_ca_system_score_gemma":0.00020130069,"threshold_uncertainty_score":0.0039503574},"labels":[],"label_agreement":null},{"id":"W3199743083","doi":"10.3390/en14185823","title":"A Hybrid Framework for Detecting and Eliminating Cyber-Attacks in Power Grids","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Kalman filter; Unsupervised learning; Process (computing); Phasor; Denial-of-service attack; Electric power system; Cluster analysis; Decision tree; Artificial intelligence; Data mining; State (computer science); Machine learning; Smart grid; Power (physics); Real-time computing; Engineering","score_opus":0.007429252373926352,"score_gpt":0.23231465114733632,"score_spread":0.22488539877340996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199743083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060124663,0.00012253692,0.9924272,0.0000505758,0.000013544903,0.000031194617,0.000027384112,0.000451132,0.0008640617],"genre_scores_gemma":[0.5432232,0.0002637329,0.45264876,0.00008429522,0.000072256335,0.00013578655,0.00014556495,0.00007506151,0.0033513731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994943,0.00013166184,0.000022724851,0.00013119422,0.00017286598,0.00004720749],"domain_scores_gemma":[0.99968696,0.0000990085,0.000055342734,0.000057174428,0.000076512144,0.0000250958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060488726,0.00060806837,0.000614176,0.0008999085,0.0003580615,0.0008580581,0.0012088439,0.00057097466,0.001077541],"category_scores_gemma":[0.0008989486,0.00024168009,0.0007375073,0.00055395876,0.0006901145,0.0012531333,0.0008990214,0.000657964,0.00020294437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010381953,0.00014591475,0.0016661334,0.00012603746,0.00014904133,0.00015490399,0.00014886603,0.7536787,0.01088595,0.07489293,0.0013744355,0.15667336],"study_design_scores_gemma":[0.000004722789,0.000048825754,0.00033002533,0.0000056611025,0.000012080347,0.00003206664,0.000016504571,0.98791444,0.0010100047,0.009645412,0.000970177,0.000010164003],"about_ca_topic_score_codex":0.0058525233,"about_ca_topic_score_gemma":0.0072907787,"teacher_disagreement_score":0.0058525233,"about_ca_system_score_codex":0.00066470355,"about_ca_system_score_gemma":0.0009746161,"threshold_uncertainty_score":0.011636913},"labels":[],"label_agreement":null},{"id":"W3200254540","doi":"10.3390/en14196007","title":"Evaluation of Reservoir Quality and Forecasted Production Variability along a Multi-Fractured Horizontal Well. Part 2: Selected Stage Forecasting","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Stage (stratigraphy); Petroleum engineering; Reservoir simulation; Current (fluid); Permeability (electromagnetism); Oil production; Reservoir engineering; Production (economics); Geology; Reservoir modeling; Environmental science; Petroleum","score_opus":0.05906840843461152,"score_gpt":0.28952876646214626,"score_spread":0.23046035802753473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200254540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927955,0.000025020394,0.0057124314,0.000020838697,0.0000015317116,0.000028692888,0.0007577116,0.000057981295,0.00060030597],"genre_scores_gemma":[0.9963707,0.000015005462,0.0029502104,0.0000016230567,5.6519247e-7,0.000008420657,0.0004224289,0.0000050900953,0.00022589146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998418,0.000017699256,0.000009753003,0.000037026934,0.00007049256,0.000023241128],"domain_scores_gemma":[0.99921536,0.00028178366,0.00015468872,0.00006408616,0.00023376665,0.000050249157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005518308,0.00028759346,0.00019099028,0.00057434477,0.000212115,0.00048676832,0.00038631874,0.0002867819,0.0005756612],"category_scores_gemma":[0.0014282403,0.00018934514,0.00033677617,0.0005243661,0.00023285151,0.00046491757,0.00019541403,0.0002847239,0.00006432727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003714134,0.0000971751,0.17715697,0.00004075031,0.000057729492,0.0001793751,0.0001105627,0.7851744,0.015743058,0.0003566104,0.00020446125,0.020507455],"study_design_scores_gemma":[0.00001219643,0.00019169803,0.2028374,0.0000058596065,0.000018347308,0.000034261368,0.000118736745,0.7840959,0.012314594,0.00012780732,0.00021141168,0.000031795105],"about_ca_topic_score_codex":0.15509342,"about_ca_topic_score_gemma":0.21684098,"teacher_disagreement_score":0.15509342,"about_ca_system_score_codex":0.0019239691,"about_ca_system_score_gemma":0.0012421506,"threshold_uncertainty_score":0.30838138},"labels":[],"label_agreement":null},{"id":"W3200877089","doi":"10.3390/en14185956","title":"A Time-Dependent Model for Predicting Thermal Environment of Mono-Slope Solar Greenhouses in Cold Regions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":18,"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":"Environmental science; Greenhouse; Meteorology; Solar energy; Relative humidity; Thermal; Cold winter; Atmospheric sciences; Geography; Engineering","score_opus":0.017642833599582266,"score_gpt":0.19551375575839508,"score_spread":0.1778709221588128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200877089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9198354,0.0002786914,0.068303555,0.00029949564,0.00010677981,0.000099691315,0.0014132448,0.00069142226,0.008971735],"genre_scores_gemma":[0.99426514,0.000088828005,0.0031183406,0.000015664995,0.000007984691,0.000052405274,0.00047673538,0.000016544016,0.0019583532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998776,0.000018710112,0.0000073801,0.000042205807,0.000021512873,0.000032676136],"domain_scores_gemma":[0.999851,0.000051190156,0.00001657991,0.000007850145,0.000057860303,0.000015561767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029525397,0.00085005036,0.00049336295,0.00028736485,0.00059993623,0.00084512826,0.0010875252,0.0008215644,0.0013690895],"category_scores_gemma":[0.00041854326,0.00038353592,0.00075219723,0.00037663107,0.0003373533,0.00043340027,0.00038496562,0.0007331368,0.00020860623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025040905,0.000025789506,0.0026576226,0.000017277605,0.00001206254,0.000037708618,0.000018385846,0.9937856,0.0012607182,0.00020783856,0.00021271537,0.0017392611],"study_design_scores_gemma":[0.0000056818867,0.00000906946,0.0010317874,0.0000013609621,0.000005147574,0.000002498837,0.000011208713,0.9986047,0.00015972438,0.0000501534,0.000114918614,0.0000037668003],"about_ca_topic_score_codex":0.28424084,"about_ca_topic_score_gemma":0.17977268,"teacher_disagreement_score":0.28424084,"about_ca_system_score_codex":0.0014495158,"about_ca_system_score_gemma":0.0023952436,"threshold_uncertainty_score":0.5651728},"labels":[],"label_agreement":null},{"id":"W3200917385","doi":"10.3390/en14185983","title":"A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"Iran National Science Foundation; Villum Fonden; National Science Foundation","keywords":"Inverter; Power (physics); Control theory (sociology); Electric power system; Electrical engineering; Engineering; Computer science; Physics; Voltage; Control (management); Thermodynamics","score_opus":0.024968990204999708,"score_gpt":0.23827740778587947,"score_spread":0.21330841758087976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200917385","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010724549,0.596134,0.33750814,0.0005629017,0.0010219279,0.0002659127,0.00022451005,0.0011097695,0.052448347],"genre_scores_gemma":[0.2102797,0.6525638,0.11002493,0.00091434823,0.0018828216,0.00037048885,0.00080494647,0.00019095372,0.02296801],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995467,0.000052527528,0.00006008961,0.00009418498,0.00021764872,0.000028759334],"domain_scores_gemma":[0.9996884,0.00015662223,0.000029438746,0.000023734532,0.000091719754,0.000010076897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041785775,0.0011611349,0.00090191845,0.001315505,0.00038344474,0.0011864455,0.0010171245,0.0011087355,0.0030266002],"category_scores_gemma":[0.00088307704,0.00045228953,0.000642967,0.0016036609,0.00031364098,0.0009999098,0.00049924135,0.0009479558,0.0011549433],"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":[0.00018673325,0.0001390528,0.0006546573,0.006008447,0.00012466799,0.0003168585,0.00019400656,0.02080951,0.010478718,0.013702035,0.00958482,0.9378004],"study_design_scores_gemma":[0.00007421315,0.0011715137,0.004068462,0.002802727,0.0003882292,0.0022866032,0.00026604976,0.109755985,0.021081464,0.015765296,0.84212756,0.0002118928],"about_ca_topic_score_codex":0.0012091001,"about_ca_topic_score_gemma":0.00076474296,"teacher_disagreement_score":0.0030266002,"about_ca_system_score_codex":0.0003530626,"about_ca_system_score_gemma":0.00049213495,"threshold_uncertainty_score":0.010124981},"labels":[],"label_agreement":null},{"id":"W3201382879","doi":"10.3390/en14185939","title":"Magnetic FEA Direct Optimization of High-Power Density, Halbach Array Permanent Magnet Electric Motors","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Halbach array; Magnet; Finite element method; Stator; Rotor (electric); Eddy current; Torque; Propulsion; Power density; Power (physics); Electric motor; Control theory (sociology); Engineering; Mechanical engineering; Electrical engineering; Automotive engineering; Computer science; Physics; Aerospace engineering; Structural engineering","score_opus":0.0038029780695011113,"score_gpt":0.1719176215758452,"score_spread":0.16811464350634409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201382879","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.315134,0.00073852576,0.64758825,0.00028661542,0.00005546028,0.00021471152,0.00021746583,0.00078773824,0.034977283],"genre_scores_gemma":[0.89768684,0.00020399819,0.09782405,0.000029038221,0.000008836365,0.00023698961,0.000097601434,0.00010908932,0.0038034143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998072,0.000055940927,0.0000065468435,0.000019368948,0.000094012874,0.000016966198],"domain_scores_gemma":[0.9996773,0.00015659166,0.000051695362,0.000022754259,0.00008166888,0.000009965754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049044186,0.0006745228,0.00045817683,0.0005152112,0.0002780755,0.00061424973,0.0003562635,0.0005560552,0.0015877298],"category_scores_gemma":[0.0013009958,0.00036496788,0.00030370158,0.000257004,0.0003952307,0.00028735472,0.00023398965,0.00028814044,0.00038505136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046545665,0.000035471487,0.00043111038,0.00008640588,0.000010775945,0.00004362922,0.00002165037,0.97784925,0.0075653316,0.001085719,0.00031836535,0.012505689],"study_design_scores_gemma":[0.000013677587,0.000053617834,0.00036487932,0.00000813653,0.000004971171,0.000013386204,0.000012710563,0.9950493,0.003240489,0.00046872735,0.0007665985,0.0000035190958],"about_ca_topic_score_codex":0.0011491195,"about_ca_topic_score_gemma":0.0018051415,"teacher_disagreement_score":0.0015877298,"about_ca_system_score_codex":0.00054906297,"about_ca_system_score_gemma":0.00050238625,"threshold_uncertainty_score":0.0053114295},"labels":[],"label_agreement":null},{"id":"W3201405706","doi":"10.3390/en14196051","title":"Evaluation of Erosion Discharge Characteristics in Inclined Plane Tracking and Erosion Tests on Silicone Rubber under AC and DC Voltages","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Manitoba Hydro","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro","keywords":"Partial discharge; Silicone rubber; Waveform; Materials science; Erosion; Voltage; Composite material; Pulse (music); Natural rubber; Vulcanization; Stress (linguistics); Amplitude; Degradation (telecommunications); SIGNAL (programming language); Acoustics; Optics; Electrical engineering; Physics; Geology; Engineering","score_opus":0.03544426836767592,"score_gpt":0.2921780439317675,"score_spread":0.2567337755640916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201405706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981571,0.00014258665,0.0013235946,0.0000061344444,0.0000030782037,0.000007393437,0.00003938275,0.000013216616,0.00030743345],"genre_scores_gemma":[0.9982901,0.00012840283,0.0010323358,0.0000073842957,0.0000025663044,0.0000053478216,0.00007662013,0.000007692011,0.00044933695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997906,0.000020383539,0.000013391023,0.000029642322,0.00011290647,0.000033191493],"domain_scores_gemma":[0.9994287,0.00021042097,0.000118805445,0.000050265782,0.00014237645,0.000049467748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024783326,0.00019057663,0.00021546775,0.00031216966,0.00016074265,0.00016315903,0.0001405939,0.00027165093,0.0010531422],"category_scores_gemma":[0.00068358285,0.00011291112,0.00018238556,0.0004053268,0.00026297418,0.00025072307,0.0001874997,0.0002574594,0.00014089223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026190074,0.000028395716,0.0030850903,0.000057882968,0.000008202162,0.00020373968,0.00016425084,0.0004663955,0.9866925,0.000032194854,0.000025641697,0.00897373],"study_design_scores_gemma":[0.000011150837,0.0015390703,0.050009694,0.0000098661385,0.00001892622,0.00070875627,0.00025212514,0.0022696883,0.9443567,0.000038277183,0.0007732369,0.00001257643],"about_ca_topic_score_codex":0.00029584256,"about_ca_topic_score_gemma":0.00042864648,"teacher_disagreement_score":0.0010531422,"about_ca_system_score_codex":0.0000999898,"about_ca_system_score_gemma":0.00008078124,"threshold_uncertainty_score":0.003523171},"labels":[],"label_agreement":null},{"id":"W3201634242","doi":"10.3390/en14185718","title":"A Machine-Learning Approach to Identify the Influence of Temperature on FRA Measurements","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Classifier (UML); Temperature measurement; Artificial intelligence; Computer science; Training set; Test set; Machine learning; Test data; Engineering; Electrical engineering; Voltage; Physics","score_opus":0.015314420208738175,"score_gpt":0.23408757733662605,"score_spread":0.21877315712788786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201634242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027016092,0.00025705385,0.97079563,0.000108409484,0.000058154725,0.00008375774,0.00007160531,0.0008190493,0.00079024077],"genre_scores_gemma":[0.6839174,0.0003277316,0.31287602,0.00013373425,0.000097484975,0.00027400974,0.00027296893,0.00007372896,0.0020268902],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990102,0.0002002397,0.00008961201,0.0003489153,0.00026586838,0.00008525417],"domain_scores_gemma":[0.99853325,0.0007430399,0.0002155577,0.00013077489,0.00035013436,0.00002729499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001559379,0.0012046874,0.0009930113,0.0016194476,0.00039503045,0.0009336935,0.0010413616,0.0013697662,0.0009008857],"category_scores_gemma":[0.004467515,0.00030439615,0.00083964836,0.00094975583,0.00051398686,0.0007781701,0.0005133944,0.0012888531,0.00054216816],"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":[0.00032261547,0.00052075693,0.0072347773,0.00027640883,0.00024148787,0.0002996476,0.00022121152,0.3917543,0.0414033,0.0033039288,0.001198255,0.5532233],"study_design_scores_gemma":[0.000006124233,0.00010705823,0.0016146906,0.000015127716,0.000019602538,0.000098014556,0.000021048108,0.9881592,0.008051712,0.0012249121,0.0006624576,0.000020151088],"about_ca_topic_score_codex":0.001602529,"about_ca_topic_score_gemma":0.0012876182,"teacher_disagreement_score":0.0016194476,"about_ca_system_score_codex":0.00048804434,"about_ca_system_score_gemma":0.0005590389,"threshold_uncertainty_score":0.008246899},"labels":[],"label_agreement":null},{"id":"W3202139043","doi":"10.3390/en14196251","title":"Model Predictive Control of Internal Combustion Engines: A Review and Future Directions","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Model predictive control; Actuator; Field (mathematics); Internal combustion engine; Combustion; Control engineering; Nonlinear system; Engineering; Automotive engineering; Computer science; Control (management); Artificial intelligence","score_opus":0.016351056135052482,"score_gpt":0.27598369998132166,"score_spread":0.25963264384626916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202139043","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":[0.00019717218,0.99689204,0.0014430886,0.00016736083,0.00019967815,0.000005225302,0.000019954652,0.000022411368,0.0010530808],"genre_scores_gemma":[0.001568282,0.9966556,0.00083161774,0.000101948506,0.00024407291,0.0000083355,0.000044466364,0.0000047848853,0.0005409257],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997975,0.000024283932,0.000025894598,0.000049095655,0.000083460065,0.00001983065],"domain_scores_gemma":[0.9996275,0.00018429986,0.000048516857,0.000015049284,0.000101759186,0.000022878805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005876357,0.0011145285,0.0014781253,0.0012747925,0.00021255552,0.0010394086,0.001124345,0.0011734404,0.0033251923],"category_scores_gemma":[0.0006466336,0.0004876263,0.00078047346,0.0023659067,0.0003678304,0.0018333923,0.0006733471,0.0016618954,0.0020205306],"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":[0.000056424404,0.00014113764,0.00017970089,0.01794018,0.00013880488,0.000121791774,0.00005292071,0.0047582993,0.0019814633,0.008186471,0.017699283,0.9487435],"study_design_scores_gemma":[0.000021261805,0.0002955601,0.000835117,0.0046601477,0.00027952105,0.0005504476,0.000067188186,0.0034575886,0.0011972411,0.0058540665,0.98271805,0.00006377298],"about_ca_topic_score_codex":0.0012861964,"about_ca_topic_score_gemma":0.0010567115,"teacher_disagreement_score":0.0033251923,"about_ca_system_score_codex":0.0003440121,"about_ca_system_score_gemma":0.00091083377,"threshold_uncertainty_score":0.011123896},"labels":[],"label_agreement":null},{"id":"W3202304473","doi":"10.3390/en14196098","title":"High Power Normally-OFF GaN/AlGaN HEMT with Regrown p Type GaN","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CMC Microsystems (Canada); Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"High-electron-mobility transistor; Materials science; Doping; Optoelectronics; Wide-bandgap semiconductor; Transistor; Molecular beam epitaxy; Epitaxy; Layer (electronics); Electrical engineering; Nanotechnology; Voltage; Engineering","score_opus":0.006976787864982775,"score_gpt":0.20932766448105544,"score_spread":0.20235087661607268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202304473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927839,0.00029112294,0.004458253,0.00006849531,0.000040303123,0.000020927439,0.0002236976,0.00018248249,0.0019307402],"genre_scores_gemma":[0.99434423,0.00011987583,0.003419181,0.00003741735,0.000017072263,0.00001295248,0.00013179766,0.000035537196,0.0018820361],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998858,0.0000104261535,0.0000057365037,0.000029031306,0.000046776757,0.00002228669],"domain_scores_gemma":[0.9998623,0.000030257428,0.000025790348,0.000028366192,0.000036710575,0.000016601172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013095324,0.00023450603,0.00028465196,0.0001005547,0.00013362781,0.0003304311,0.00060180895,0.00028421052,0.0010238405],"category_scores_gemma":[0.0001738207,0.00012307284,0.00023210031,0.00014562868,0.00016249808,0.0003173705,0.00013354386,0.00027132683,0.00038428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012614115,0.000027112827,0.00063422334,0.00005858203,0.000021346472,0.00032749397,0.000045390374,0.0006011694,0.99475276,0.00021570135,0.00026206215,0.002927905],"study_design_scores_gemma":[0.000052603104,0.0011598216,0.0076462505,0.000013585796,0.000056096353,0.0012328083,0.000053160016,0.010664342,0.97562486,0.0003107915,0.0031689622,0.000016807431],"about_ca_topic_score_codex":0.00053561357,"about_ca_topic_score_gemma":0.0009420539,"teacher_disagreement_score":0.0010238405,"about_ca_system_score_codex":0.00024069173,"about_ca_system_score_gemma":0.00012769476,"threshold_uncertainty_score":0.0034250617},"labels":[],"label_agreement":null},{"id":"W3202512885","doi":"10.3390/en14196374","title":"Canadian Oil Sands Extraction and Upgrading: A Synthesis of the Data on Energy Consumption, CO2 Emissions, and Supply Costs","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","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":"University of Alberta","funders":"","keywords":"Oil sands; Greenhouse gas; Production (economics); Fossil fuel; Energy consumption; Asphalt; Consumption (sociology); Petroleum industry; Synthetic crude; Unconventional oil; Steam-assisted gravity drainage; Environmental science; Energy supply; Natural resource economics; Engineering; Environmental economics; Waste management; Environmental engineering; Energy (signal processing); Economics; Geology","score_opus":0.02017057439758395,"score_gpt":0.28013775174140476,"score_spread":0.2599671773438208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202512885","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":[0.0929671,0.3238765,0.008958359,0.0068638218,0.0005287284,0.00067341747,0.46079332,0.000638796,0.104699954],"genre_scores_gemma":[0.38264912,0.39993992,0.021326562,0.0010834325,0.00015545894,0.00050340587,0.17306748,0.0002452017,0.021029374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99738055,0.00009982911,0.00012973133,0.00020108842,0.0019602496,0.0002285305],"domain_scores_gemma":[0.99535334,0.00047267595,0.00025832496,0.00009887381,0.0036573897,0.00015937479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017725434,0.002112397,0.0014678492,0.019438352,0.0017490949,0.0026663253,0.0012220156,0.0004749104,0.007744367],"category_scores_gemma":[0.003999794,0.0005810983,0.0025028023,0.046829052,0.00042283587,0.0010645904,0.0008324494,0.0007107886,0.00077390834],"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":[0.0008742315,0.00014771543,0.072897755,0.042572025,0.002373074,0.00052587973,0.0009723044,0.03422729,0.0026190442,0.02104985,0.19610716,0.62563366],"study_design_scores_gemma":[0.00009698291,0.00010632946,0.34895128,0.006855039,0.0035610516,0.00020146964,0.0015084868,0.008137735,0.0043524355,0.0023384432,0.6235903,0.00030055756],"about_ca_topic_score_codex":0.99253744,"about_ca_topic_score_gemma":0.9958621,"teacher_disagreement_score":0.06823081,"about_ca_system_score_codex":0.06823081,"about_ca_system_score_gemma":0.10082935,"threshold_uncertainty_score":0.4950515},"labels":[],"label_agreement":null},{"id":"W3203307606","doi":"10.3390/en14196145","title":"Modeling Dynamic Multifractal Efficiency of US Electricity Market","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Fundação para a Ciência e a Tecnologia","keywords":"Electricity; Multifractal system; Competition (biology); Econometrics; Electricity market; Quarter (Canadian coin); Index (typography); Economics; Consumption (sociology); Environmental science; Computer science; Mathematics; Engineering; Geography; Fractal","score_opus":0.013287928392070296,"score_gpt":0.2014470049384071,"score_spread":0.1881590765463368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203307606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94078326,0.00024411877,0.056811363,0.00033933838,0.000014096123,0.000024008885,0.0002105855,0.00006869722,0.0015045389],"genre_scores_gemma":[0.9969349,0.00008291879,0.002386693,0.000012312502,0.000007719912,0.000009386003,0.00009466246,0.0000073241026,0.00046410164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998004,0.00007090592,0.00001023435,0.0000505241,0.000026996187,0.000040909028],"domain_scores_gemma":[0.99928755,0.00040925827,0.0001537917,0.000050935276,0.00006292769,0.000035554993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009541892,0.00032192108,0.00028053817,0.00059178675,0.00017788891,0.00081001595,0.00038574685,0.0005407376,0.0006525537],"category_scores_gemma":[0.003766097,0.00019467909,0.0004976464,0.00043856615,0.00030855567,0.00066581555,0.0003227259,0.0005245401,0.00011024369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049987266,0.00005403871,0.037021097,0.000021591264,0.00008018732,0.00015470608,0.00012022261,0.9399504,0.0016030507,0.009673978,0.0005207236,0.010749946],"study_design_scores_gemma":[0.0000011400289,0.0000045353727,0.0043123635,0.0000013539419,0.0000026299942,0.000005739715,0.000007956245,0.99471825,0.000047920017,0.00081399607,0.00008193307,0.0000021454234],"about_ca_topic_score_codex":0.019857192,"about_ca_topic_score_gemma":0.011207427,"teacher_disagreement_score":0.019857192,"about_ca_system_score_codex":0.00073116465,"about_ca_system_score_gemma":0.0003633744,"threshold_uncertainty_score":0.03948325},"labels":[],"label_agreement":null},{"id":"W3203318578","doi":"10.3390/en14196103","title":"Review of the Heat Flow Mapping in Polish Sedimentary Basin across Different Tectonic Terrains","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Geological Formations and Processes Exploration","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geology; Geothermal gradient; Thermal conductivity; Petrology; Sedimentary basin; Geophysics; Precambrian; Geomorphology; Structural basin; Geochemistry; Thermodynamics","score_opus":0.019798728608789725,"score_gpt":0.23201231241993164,"score_spread":0.21221358381114191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203318578","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":[0.0026237832,0.9925262,0.001583784,0.00032946072,0.00028539516,0.000013112811,0.000587704,0.00004899304,0.0020015426],"genre_scores_gemma":[0.010387767,0.9863534,0.0015151302,0.00011829536,0.00025377647,0.000015254989,0.00064912956,0.000016002909,0.00069124164],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996904,0.00004568926,0.000088759414,0.000085546126,0.000073607654,0.00001588512],"domain_scores_gemma":[0.99933237,0.00023024424,0.00016014487,0.000025727315,0.000228595,0.0000229329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888641,0.0006878744,0.0008976442,0.007688382,0.00021201652,0.00090801675,0.000868707,0.0003850378,0.0020676877],"category_scores_gemma":[0.0012926544,0.00046022626,0.0005757065,0.009559512,0.00033629508,0.0013463784,0.00046348415,0.0003000989,0.0005489672],"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":[0.00005823019,0.00001536424,0.0031627854,0.035635877,0.00022535124,0.00019344185,0.00023187623,0.0010880913,0.0012075396,0.0013891717,0.018486159,0.93830615],"study_design_scores_gemma":[0.000010356883,0.00008420163,0.04799921,0.015870962,0.0006748518,0.0013585528,0.00041677107,0.00052196166,0.0018086617,0.0013182233,0.929877,0.000059210488],"about_ca_topic_score_codex":0.011295639,"about_ca_topic_score_gemma":0.013847954,"teacher_disagreement_score":0.011295639,"about_ca_system_score_codex":0.0006377207,"about_ca_system_score_gemma":0.0014698354,"threshold_uncertainty_score":0.022459805},"labels":[],"label_agreement":null},{"id":"W3203600457","doi":"10.3390/en14196291","title":"Evolution of Countermeasures against Atmospheric Icing of Power Lines over the Past Four Decades and Their Applications into Field Operations","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Icing; Wind power; Reliability (semiconductor); Engineering; Computer science; Risk analysis (engineering); Meteorology; Power (physics); Electrical engineering; Business; Geography","score_opus":0.006047076722385562,"score_gpt":0.2059800488337034,"score_spread":0.19993297211131786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203600457","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026134167,0.9359552,0.013233749,0.0018105236,0.0007803606,0.000053458905,0.00014540745,0.00010792849,0.021779235],"genre_scores_gemma":[0.15484074,0.8196966,0.013239156,0.0009957361,0.0007994592,0.000059240236,0.000353587,0.000046435798,0.009969139],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993851,0.0000668671,0.000051780353,0.0001235795,0.0003159384,0.000056600737],"domain_scores_gemma":[0.9986583,0.0003658092,0.00033397833,0.00004392443,0.00054296537,0.000055024055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090893253,0.00057012576,0.0004520019,0.0014207886,0.00029375628,0.0012299452,0.00063229504,0.00073142047,0.0019050355],"category_scores_gemma":[0.0013267335,0.00021809147,0.00032046752,0.0014170989,0.00035021966,0.0011658131,0.0004951283,0.00081248424,0.00063499267],"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":[0.00014015181,0.00014877765,0.002592936,0.008503398,0.00010268893,0.00021204373,0.00027158487,0.0041366536,0.032080553,0.011459467,0.008369014,0.93198276],"study_design_scores_gemma":[0.000015908123,0.0012668386,0.01001074,0.0029722669,0.00027108763,0.0014452472,0.0007567334,0.0056758905,0.064428225,0.0038714625,0.9091903,0.000095308475],"about_ca_topic_score_codex":0.0013286999,"about_ca_topic_score_gemma":0.0015006971,"teacher_disagreement_score":0.0019050355,"about_ca_system_score_codex":0.0005304893,"about_ca_system_score_gemma":0.0009357669,"threshold_uncertainty_score":0.0063729286},"labels":[],"label_agreement":null},{"id":"W3204080224","doi":"10.3390/en14196089","title":"Geochemical Changes Associated with High-Temperature Heat Storage at Intermediate Depth: Thermodynamic Equilibrium Models for the DeepStor Site in the Upper Rhine Graben, Germany","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermal energy storage; Dolomite; Geothermal gradient; Heat exchanger; Environmental science; Anhydrite; Heat transfer; Geology; Geochemistry; Gypsum; Thermodynamics","score_opus":0.010800559581842742,"score_gpt":0.22331589060676688,"score_spread":0.21251533102492415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204080224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928543,0.00015719101,0.0021093935,0.00028672008,0.000016774637,0.000033743294,0.0007180957,0.00005577555,0.0037679856],"genre_scores_gemma":[0.99766916,0.00006889481,0.00065061584,0.00003600851,0.0000070107035,0.000025886755,0.00030930416,0.000026602207,0.0012065327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986196,0.000029316512,0.0000074013133,0.000028990775,0.000014714806,0.00005770526],"domain_scores_gemma":[0.9994752,0.00027155387,0.000053457952,0.000025151478,0.00007066909,0.00010398091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005076789,0.0008879805,0.00076715933,0.00062342186,0.00089480786,0.0015167479,0.0014308378,0.002228643,0.0023633048],"category_scores_gemma":[0.0012538322,0.0007028064,0.0013205518,0.00054805435,0.0011003782,0.0010678545,0.0008280026,0.0009050455,0.00024679836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006877368,0.00007862048,0.0052919937,0.000019421612,0.000021591393,0.00014310883,0.000043728098,0.99182045,0.0009127732,0.000894807,0.00018602643,0.0005187294],"study_design_scores_gemma":[0.000038388123,0.0000236359,0.0020992944,0.000004632044,0.000012905673,0.000008575202,0.000069906346,0.9971521,0.00017315902,0.0002745587,0.00012952522,0.0000132647465],"about_ca_topic_score_codex":0.19400613,"about_ca_topic_score_gemma":0.098581366,"teacher_disagreement_score":0.19400613,"about_ca_system_score_codex":0.002646645,"about_ca_system_score_gemma":0.0015859952,"threshold_uncertainty_score":0.3857538},"labels":[],"label_agreement":null},{"id":"W3204348230","doi":"10.3390/en14196245","title":"Defining Uncertainty: Comparing Resource/Reserve Classification Systems for Coal and Coal Seam Gas","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Coal; Coal mining; Fossil fuel; Mining engineering; Production (economics); Computer science; Investment (military); Petroleum engineering; Environmental science; Business; Geology; Engineering; Economics; Waste management","score_opus":0.03390197419628153,"score_gpt":0.23116651678171238,"score_spread":0.19726454258543086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204348230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6384489,0.011680786,0.22584762,0.004943999,0.0009615319,0.0024382046,0.019905733,0.0013178271,0.09445546],"genre_scores_gemma":[0.9180846,0.0012974042,0.063495986,0.0005983055,0.00016020857,0.00084614166,0.0133684175,0.00032094726,0.0018279501],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9649841,0.016781155,0.003091946,0.0025332214,0.011312408,0.0012970958],"domain_scores_gemma":[0.8871437,0.07570082,0.007101193,0.006272031,0.02259454,0.0011878104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.046112325,0.00095752423,0.0013476125,0.012758238,0.0015342166,0.006806139,0.002342682,0.0017584797,0.0035049955],"category_scores_gemma":[0.15174557,0.0003166696,0.0024324153,0.009207748,0.002612322,0.007886863,0.0060187327,0.0022449624,0.00082647527],"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":[0.0052983905,0.00040067497,0.27923423,0.002977839,0.003008443,0.00027827517,0.010217021,0.08495162,0.0015048521,0.12960598,0.034712892,0.44780985],"study_design_scores_gemma":[0.00035381864,0.0016790875,0.37969616,0.003694171,0.001611357,0.0004339962,0.026749603,0.271868,0.005214848,0.22103994,0.08689816,0.00076090725],"about_ca_topic_score_codex":0.036684133,"about_ca_topic_score_gemma":0.021185929,"teacher_disagreement_score":0.046112325,"about_ca_system_score_codex":0.0076533924,"about_ca_system_score_gemma":0.004121848,"threshold_uncertainty_score":0.24386823},"labels":[],"label_agreement":null},{"id":"W3204802647","doi":"10.3390/en14196336","title":"Forecasting the CO2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":55,"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":"Artificial neural network; Climate change; Openness to experience; Greenhouse gas; Environmental science; Econometrics; Economics; Computer science","score_opus":0.10594161924325542,"score_gpt":0.23160387327463947,"score_spread":0.12566225403138404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204802647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6660252,0.001177843,0.3193874,0.0013416861,0.00014320751,0.00005093362,0.00072140276,0.00034605444,0.010806227],"genre_scores_gemma":[0.9826888,0.00036008487,0.014279666,0.000037040063,0.00002473514,0.000029347524,0.00016973556,0.000009890513,0.002400638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998468,0.00004852852,0.000009439452,0.0000377595,0.000027534383,0.00002997598],"domain_scores_gemma":[0.9997563,0.00012096634,0.00004784971,0.000010206442,0.00005193239,0.000012795143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004891099,0.00042818396,0.0003471035,0.0003464859,0.00026031522,0.0007351069,0.0005890869,0.00070056587,0.0011122667],"category_scores_gemma":[0.0011873653,0.00025424533,0.00057063974,0.000542605,0.00025541885,0.0008700901,0.000461667,0.00061232934,0.00013767275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025703855,0.000018449247,0.0024885982,0.00001485232,0.000024975261,0.000027771352,0.000015391302,0.9897221,0.00039125356,0.0008193447,0.00019248074,0.0062591643],"study_design_scores_gemma":[0.0000010973558,0.0000045733714,0.0004067903,0.000002115467,0.0000030068857,0.0000015043887,0.0000028216489,0.9991246,0.000047809255,0.00035307265,0.000050718216,0.000001935756],"about_ca_topic_score_codex":0.038509123,"about_ca_topic_score_gemma":0.02350324,"teacher_disagreement_score":0.038509123,"about_ca_system_score_codex":0.0007829376,"about_ca_system_score_gemma":0.00058007153,"threshold_uncertainty_score":0.076569974},"labels":[],"label_agreement":null},{"id":"W3204809253","doi":"10.3390/en14196159","title":"Chemical Methods for Hydrolyzing Dairy Manure Fiber: A Concise Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Hemicellulose; Cellulose; Lignin; Anaerobic digestion; Pulp and paper industry; Manure; Xylose; Hydrolysis; Enzymatic hydrolysis; Fermentation; Food science; Biochemistry; Organic chemistry; Agronomy; Methane","score_opus":0.04446493868342248,"score_gpt":0.36115198679275107,"score_spread":0.3166870481093286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204809253","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":[0.00046120503,0.9968521,0.0010480352,0.000108655004,0.0003420588,0.00001770996,0.000060216065,0.000021347909,0.0010886546],"genre_scores_gemma":[0.0016724928,0.99571747,0.0011426581,0.00012880181,0.0002505939,0.000025366526,0.00012418923,0.0000059529925,0.0009324449],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995771,0.000040854244,0.0000679062,0.00007714473,0.0001916498,0.00004535537],"domain_scores_gemma":[0.9995982,0.00016588141,0.00009184688,0.00001819504,0.00010337974,0.000022447359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007320211,0.0016155159,0.0014903268,0.0029707474,0.00035197975,0.0009893304,0.0009329568,0.0010231194,0.00370695],"category_scores_gemma":[0.0007507052,0.0005514801,0.00081078167,0.0031746454,0.00044399375,0.0022185312,0.0006674891,0.0014537964,0.0026269986],"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":[0.000112562986,0.00026469553,0.0002970772,0.08118162,0.00023227301,0.00042714193,0.00014100061,0.001601402,0.024158835,0.005225219,0.029900571,0.8564576],"study_design_scores_gemma":[0.000015833093,0.00021651897,0.00071538496,0.0025173966,0.00018238569,0.0009013617,0.000058075555,0.00028292905,0.005846659,0.0010489882,0.988172,0.000042442087],"about_ca_topic_score_codex":0.00085818925,"about_ca_topic_score_gemma":0.0012156444,"teacher_disagreement_score":0.00370695,"about_ca_system_score_codex":0.0004411764,"about_ca_system_score_gemma":0.00094914663,"threshold_uncertainty_score":0.012401044},"labels":[],"label_agreement":null},{"id":"W3204862474","doi":"10.3390/en14196154","title":"Evaluation of Reservoir Quality and Forecasted Production Variability along a Multi-Fractured Horizontal Well. Part 1: Reservoir Characterization","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Petrophysics; Reservoir modeling; Geology; Facies; Dolomite; Siltstone; Permeability (electromagnetism); Petrology; Reservoir simulation; Compaction; Tight gas; Petroleum engineering; Saturation (graph theory); Hydraulic fracturing; Well logging; Soil science; Porosity; Geotechnical engineering; Mineralogy; Geomorphology; Mathematics","score_opus":0.04247268134623283,"score_gpt":0.28530573230287576,"score_spread":0.24283305095664293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204862474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954666,0.00002862599,0.0028398347,0.000014942259,0.0000015029917,0.00002116711,0.0010295735,0.00007057177,0.0005271486],"genre_scores_gemma":[0.9960341,0.000018910696,0.0028087837,0.0000022299366,8.2954944e-7,0.000009688362,0.00087913766,0.0000074045884,0.00023894545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998344,0.00001031316,0.000011649288,0.00004727718,0.00006809153,0.000028282959],"domain_scores_gemma":[0.99943715,0.00011458273,0.00012887036,0.00004724762,0.00021454616,0.000057533234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037904183,0.00030333354,0.00018039659,0.00090186554,0.00025541958,0.0005578654,0.0004139113,0.0002784663,0.0006221647],"category_scores_gemma":[0.00083866884,0.00019226818,0.00031844917,0.0006760629,0.00025515526,0.00039091494,0.00026068155,0.00021254053,0.00009489037],"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":[0.00032922023,0.00016036621,0.67493373,0.00007563339,0.00012450114,0.00044712736,0.00024702257,0.2545171,0.03754514,0.00038847062,0.00037129404,0.030860383],"study_design_scores_gemma":[0.000014126184,0.00013537794,0.64241606,0.000010719079,0.000031175667,0.00006400743,0.00026703664,0.34690464,0.009531093,0.00009467998,0.0004942615,0.000036743444],"about_ca_topic_score_codex":0.2147914,"about_ca_topic_score_gemma":0.38806254,"teacher_disagreement_score":0.2147914,"about_ca_system_score_codex":0.0018956889,"about_ca_system_score_gemma":0.0016617632,"threshold_uncertainty_score":0.42708236},"labels":[],"label_agreement":null},{"id":"W3204976957","doi":"10.3390/en14206800","title":"Performance Enhancement of Self-Cleaning Hydrophobic Nanocoated Photovoltaic Panels in a Dusty Environment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Photovoltaic system; Materials science; Coating; Superhydrophobic coating; Composite material; Nanoparticle; Facet (psychology); Silicon dioxide; Environmental science; Nanotechnology; Engineering; Electrical engineering","score_opus":0.010462977165306248,"score_gpt":0.2085960770533191,"score_spread":0.19813309988801284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204976957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975268,0.00024700136,0.0016314206,0.000014741468,0.000011637841,0.000004430871,0.000036433397,0.000026682279,0.00050077896],"genre_scores_gemma":[0.9978563,0.0001691359,0.0014158051,0.00001021447,0.0000033801812,0.000006338686,0.000033780852,0.00000935408,0.00049566047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999267,0.0000065671875,0.0000033504762,0.000018988405,0.000027776117,0.000016609985],"domain_scores_gemma":[0.99994624,0.000010806113,0.000012166858,0.0000067521755,0.000018197332,0.0000058491296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007677117,0.0001651344,0.00018923233,0.00008656946,0.000090861555,0.000165073,0.00015856863,0.00020163089,0.0004223126],"category_scores_gemma":[0.00011337581,0.00010113187,0.00017510226,0.00009556616,0.00010121348,0.00014237754,0.00013848234,0.00016666773,0.00012449917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023570348,0.0000081023845,0.00011641443,0.000026457445,0.0000032519833,0.000027464335,0.000010927527,0.00025763488,0.9985423,0.000015077816,0.000025787369,0.0009430936],"study_design_scores_gemma":[0.0000028119648,0.00009474399,0.001287988,0.0000014886655,0.000005036609,0.000025866784,0.0000142576655,0.0020807302,0.9961743,0.000006922921,0.00030325653,0.000002676921],"about_ca_topic_score_codex":0.00035976458,"about_ca_topic_score_gemma":0.00090853334,"teacher_disagreement_score":0.0004223126,"about_ca_system_score_codex":0.00010903344,"about_ca_system_score_gemma":0.00005563167,"threshold_uncertainty_score":0.0014127493},"labels":[],"label_agreement":null},{"id":"W3205208712","doi":"10.3390/en14206710","title":"Effect of HPT on the First Hydrogenation of LaNi5 Metal Hydride","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dehydrogenation; Hydride; Hydrogen storage; Hydrogen; Particle size; Metal; Materials science; Chemistry; Kinetics; Chemical engineering; Metallurgy; Inorganic chemistry; Organic chemistry; Catalysis; Physical chemistry; Physics","score_opus":0.008139473668063647,"score_gpt":0.2325294700975101,"score_spread":0.22438999642944646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205208712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99708337,0.00080111163,0.00052618183,0.000038231345,0.000029069122,0.000011057622,0.00010575036,0.000037871367,0.0013672689],"genre_scores_gemma":[0.9982591,0.00043844545,0.0005309943,0.000017202494,0.000012793113,0.0000061903347,0.0001001672,0.000027903661,0.0006071489],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998641,0.000019351051,0.000009763188,0.000027256092,0.000035782316,0.000043785167],"domain_scores_gemma":[0.9998203,0.00009273052,0.000032760443,0.000015874946,0.000018263274,0.000020128917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017094384,0.00029744674,0.00030334046,0.00013656061,0.00019253347,0.0002482069,0.00024410267,0.00019360395,0.0027665852],"category_scores_gemma":[0.0003456878,0.00013661949,0.00020447436,0.0001496127,0.00032839354,0.0003555652,0.00021522238,0.00043833777,0.0002877303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072233664,0.000040941384,0.00031477833,0.00023908188,0.000025478266,0.00011776425,0.00008683408,0.0003368548,0.9925943,0.000091085894,0.00010052412,0.0053300285],"study_design_scores_gemma":[0.0000065702097,0.00041427105,0.0008388909,0.0000027670412,0.0000073478927,0.00003357391,0.000017811612,0.00022353245,0.9978066,0.000008699283,0.0006352919,0.0000046359023],"about_ca_topic_score_codex":0.0003869582,"about_ca_topic_score_gemma":0.0006592146,"teacher_disagreement_score":0.0027665852,"about_ca_system_score_codex":0.00017950812,"about_ca_system_score_gemma":0.00011206439,"threshold_uncertainty_score":0.009255111},"labels":[],"label_agreement":null},{"id":"W3205327225","doi":"10.3390/en14216883","title":"Numerical Simulation of Combustion of Natural Gas Mixed with Hydrogen in Gas Boilers","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; National Research Council Canada","funders":"National Natural Science Foundation of China","keywords":"Combustion; Flue gas; Flue-gas emissions from fossil-fuel combustion; Natural gas; Combustor; NOx; Industrial gas; Fuel gas; Hydrogen; Soot; Waste management; Chemistry; Environmental science; Nuclear engineering; Gas turbines; Engineering; Mechanical engineering","score_opus":0.005222554752821887,"score_gpt":0.19816410588743194,"score_spread":0.19294155113461006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205327225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952768,0.0003203588,0.030585343,0.00036741863,0.00010610197,0.0000774676,0.00044870828,0.0002613238,0.015065334],"genre_scores_gemma":[0.9926294,0.00009913218,0.0053152596,0.000026213234,0.0000063301386,0.00005293063,0.0001497948,0.000017231618,0.0017037549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997981,0.00004710871,0.0000130608,0.000026332262,0.000053778807,0.00006158254],"domain_scores_gemma":[0.999466,0.00030936993,0.000059300368,0.00002684572,0.0000894737,0.000048934213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043590058,0.0005124337,0.00082540105,0.00050542934,0.0009848478,0.00070764334,0.00069347426,0.0014104976,0.0019073143],"category_scores_gemma":[0.001157949,0.0003482311,0.0008360783,0.0006005158,0.00081299926,0.00053805095,0.0005593208,0.0006935737,0.000119983175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102113496,0.00004634063,0.0019634215,0.000044076063,0.000014848721,0.00011414029,0.00005014575,0.99297416,0.002359872,0.0010305428,0.0001275646,0.0011728317],"study_design_scores_gemma":[0.000012152373,0.000022263454,0.0003266568,0.000002853981,0.000003086054,0.000006667015,0.000020166288,0.9988815,0.00051496894,0.00010688384,0.000098750104,0.00000393262],"about_ca_topic_score_codex":0.024236534,"about_ca_topic_score_gemma":0.011045335,"teacher_disagreement_score":0.024236534,"about_ca_system_score_codex":0.00089815963,"about_ca_system_score_gemma":0.0009491751,"threshold_uncertainty_score":0.04819089},"labels":[],"label_agreement":null},{"id":"W3205515346","doi":"10.3390/en14206529","title":"Effect of Pyrolysis Temperature and Wood Species on the Properties of Biochar Pellets","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Technologique des Résidus Industriels; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pellets; Torrefaction; Biochar; Pyrolysis; Heat of combustion; Softwood; Lignin; Bioenergy; Pyrolytic carbon; Biofuel; Materials science; Pulp and paper industry; Carbon fibers; Chemistry; Oriented strand board; Composite material; Waste management; Combustion; Organic chemistry; Composite number","score_opus":0.00535253285913295,"score_gpt":0.1675922817751731,"score_spread":0.16223974891604015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205515346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808335,0.0007658041,0.00046002242,0.000008068309,0.000010066784,0.000008661706,0.000102318634,0.000009630623,0.0005520835],"genre_scores_gemma":[0.9985701,0.00041664296,0.0005044617,0.000011248738,0.0000030808462,0.000008198754,0.000086553795,0.000011338606,0.00038828174],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997912,0.000027864175,0.000022234057,0.00004709123,0.000056874796,0.000054683387],"domain_scores_gemma":[0.99979514,0.00007232568,0.00005130919,0.000014818932,0.000042208405,0.000024125222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022378155,0.00040066167,0.0002615948,0.00020262052,0.00017571927,0.00034138892,0.00013780159,0.00018244922,0.0010117713],"category_scores_gemma":[0.00032929677,0.00019232357,0.00028697582,0.00023040609,0.00015337259,0.0002707519,0.00012249737,0.00027896214,0.00021270839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038109178,0.00003093815,0.0011206802,0.000112415066,0.00001991404,0.000061645325,0.000022995424,0.00031290468,0.9955284,0.000022030326,0.000013797998,0.002373269],"study_design_scores_gemma":[0.0000046594305,0.00033436797,0.0133088045,0.000009296976,0.000029271634,0.00006724586,0.00004715976,0.00033247698,0.98543566,0.000014195678,0.00041034564,0.0000065087324],"about_ca_topic_score_codex":0.0004995484,"about_ca_topic_score_gemma":0.0011610416,"teacher_disagreement_score":0.0010117713,"about_ca_system_score_codex":0.00011119546,"about_ca_system_score_gemma":0.0001342302,"threshold_uncertainty_score":0.0033846498},"labels":[],"label_agreement":null},{"id":"W3205718592","doi":"10.3390/en14206820","title":"Decarbonizing Local Mobility and Greenhouse Agriculture through Residential Building Energy Upgrades: A Case Study for Québec","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Concordia University","funders":"Concordia University","keywords":"Electricity; Photovoltaic system; Electrification; Environmental science; Greenhouse gas; Efficient energy use; Retrofitting; Electricity generation; Fossil fuel; Zero-energy building; TRNSYS; Greenhouse; Automotive engineering; Waste management; Engineering; Electrical engineering; Power (physics); Energy (signal processing)","score_opus":0.010797021191582757,"score_gpt":0.25477046889363286,"score_spread":0.2439734477020501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205718592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823192,0.00026307107,0.0017440206,0.00045203953,0.000019425512,0.00019461827,0.0014285838,0.00007504105,0.013503976],"genre_scores_gemma":[0.9898337,0.0002253305,0.002000439,0.00007225193,0.0000033120427,0.000043039337,0.00057414797,0.000017374678,0.007230363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99969506,0.000059289752,0.0000066010257,0.00003672877,0.000068643705,0.00013372497],"domain_scores_gemma":[0.99947125,0.00009133692,0.000025734988,0.000026792304,0.0002868558,0.000097967226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034273101,0.000606444,0.00028162645,0.0005981825,0.0021458368,0.0012160578,0.0012893812,0.000821067,0.0033174262],"category_scores_gemma":[0.0005726186,0.00020129971,0.00056614325,0.0013375786,0.0007571706,0.00044896753,0.00051098655,0.00069739384,0.00020695734],"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":[0.00087968877,0.0024098807,0.24471259,0.00067988853,0.00037387502,0.013383727,0.003127165,0.58278596,0.019002674,0.012519834,0.024269348,0.09585552],"study_design_scores_gemma":[0.00033709765,0.0009089887,0.37485424,0.0002307993,0.0002445564,0.00075458275,0.017685287,0.548048,0.005950692,0.0008948228,0.0498319,0.00025900485],"about_ca_topic_score_codex":0.98606837,"about_ca_topic_score_gemma":0.99482876,"teacher_disagreement_score":0.03304689,"about_ca_system_score_codex":0.03304689,"about_ca_system_score_gemma":0.011368744,"threshold_uncertainty_score":0.23977304},"labels":[],"label_agreement":null},{"id":"W3205850702","doi":"10.3390/en14206589","title":"Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Voltage; State of charge; Electric power system; Computer science; Mathematical optimization; Optimization problem; Extreme value theory; Power (physics); Control theory (sociology); Engineering; Electrical engineering; Algorithm; Mathematics; Artificial intelligence","score_opus":0.014571760356323422,"score_gpt":0.23022533068102075,"score_spread":0.2156535703246973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205850702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9252288,0.00015411824,0.06734421,0.00017247161,0.000042015014,0.000038418315,0.00008017203,0.00023614442,0.0067036604],"genre_scores_gemma":[0.9981865,0.000020933621,0.0015664381,0.000009879784,0.0000016592967,0.0000037233374,0.000027074671,0.0000076022898,0.00017616843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946207,0.00017413727,0.000022087444,0.00006746657,0.00011195534,0.00016229505],"domain_scores_gemma":[0.99845624,0.0009600488,0.00016469198,0.00011623367,0.00020280427,0.000099877216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086034666,0.0005651669,0.00040394434,0.0003703313,0.00044225788,0.0012608891,0.0004223869,0.000733395,0.0010218755],"category_scores_gemma":[0.0034104167,0.00023568032,0.00041277905,0.00029226535,0.00047478004,0.0011191976,0.00078489515,0.0005921698,0.00011614616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037508944,0.00007649865,0.008202718,0.00005883466,0.000043632157,0.00031038112,0.00007659566,0.961506,0.0061621056,0.0020356553,0.00039750422,0.020755043],"study_design_scores_gemma":[0.000019802279,0.00021344569,0.0055911923,0.000012031669,0.000031837077,0.000117689895,0.00019513122,0.98386234,0.0076209987,0.0018851281,0.00042883755,0.000021614047],"about_ca_topic_score_codex":0.0039862683,"about_ca_topic_score_gemma":0.0031577623,"teacher_disagreement_score":0.0039862683,"about_ca_system_score_codex":0.0006468928,"about_ca_system_score_gemma":0.0003969623,"threshold_uncertainty_score":0.007926106},"labels":[],"label_agreement":null},{"id":"W3205922520","doi":"10.3390/en14206749","title":"Performance Analysis of a Solar Cooling System with Equal and Unequal Adsorption/Desorption Operating Time","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Adsorption; Desorption; Water cooling; Thermal; Thermodynamics; Coefficient of performance; Cooling capacity; Materials science; Environmental science; Nuclear engineering; Chemistry; Chemical engineering; Physics; Heat exchanger; Engineering; Physical chemistry; Heat pump","score_opus":0.006783572243296536,"score_gpt":0.18558783765215828,"score_spread":0.17880426540886174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205922520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99529713,0.00019749174,0.0036854697,0.000032373446,0.000014262933,0.000016034992,0.000068729634,0.00008439921,0.00060411583],"genre_scores_gemma":[0.9990219,0.000044797023,0.0006300841,0.000004357671,0.0000022913,0.000006742441,0.000022805143,0.0000058290284,0.00026125475],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969673,0.00004665383,0.000018315573,0.00006943449,0.0000953455,0.000073459305],"domain_scores_gemma":[0.9996723,0.00010849144,0.000036182355,0.000034714398,0.00012983561,0.000018499853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047500368,0.0003554349,0.00061146764,0.00044027917,0.00050524005,0.00042669568,0.00044944373,0.0003501796,0.0017150163],"category_scores_gemma":[0.0006237904,0.00015025561,0.00047779875,0.00030057508,0.0003633342,0.00046705906,0.00025366616,0.00022664625,0.00021745649],"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":[0.0023671559,0.00021261424,0.010067745,0.000732348,0.00013425905,0.00026642,0.00034409246,0.11799674,0.83510095,0.00071894133,0.00056530593,0.03149342],"study_design_scores_gemma":[0.00005849813,0.001910776,0.0156037845,0.00001555463,0.000114647555,0.00012744237,0.0001561933,0.31905928,0.6616506,0.00013818534,0.00111564,0.000049388032],"about_ca_topic_score_codex":0.004805165,"about_ca_topic_score_gemma":0.003135703,"teacher_disagreement_score":0.004805165,"about_ca_system_score_codex":0.000613371,"about_ca_system_score_gemma":0.0004163502,"threshold_uncertainty_score":0.009554446},"labels":[],"label_agreement":null},{"id":"W3205960902","doi":"10.3390/en14206521","title":"Hybrid Wind and Solar Photovoltaic Generation with Energy Storage Systems: A Systematic Literature Review and Contributions to Technical and Economic Regulations","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Grantová Agentura České Republiky; École nationale d'administration publique","keywords":"Photovoltaic system; Energy storage; Renewable energy; Wind power; Environmental economics; Remuneration; Hybrid system; Distributed generation; Solar energy; Electricity generation; Computer science; Reliability engineering; Business; Engineering; Risk analysis (engineering); Environmental science; Electrical engineering; Economics; Power (physics); Finance","score_opus":0.006403131236649384,"score_gpt":0.22050058013952406,"score_spread":0.2140974489028747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205960902","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":[0.0009356119,0.9970415,0.00039067457,0.00044352244,0.00009683185,0.0000640973,0.00020159582,0.00000600016,0.0008201157],"genre_scores_gemma":[0.0055839084,0.99323845,0.0005956313,0.00023134613,0.00005078042,0.000065935914,0.00013857218,0.000002801486,0.00009251397],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9968123,0.0008728099,0.0010834263,0.0003145579,0.00077962445,0.00013716916],"domain_scores_gemma":[0.9808508,0.01433198,0.0022851343,0.00029269862,0.0020702106,0.00016917461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005338273,0.0010692828,0.0024250285,0.015017645,0.00062552816,0.0023890259,0.0011364012,0.0013235008,0.0030223958],"category_scores_gemma":[0.01593641,0.00069668994,0.0031066595,0.01611784,0.0008685266,0.0022595795,0.0010932044,0.0010212862,0.00033565637],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112374284,0.00007238235,0.002497465,0.68111813,0.0017720592,0.00043885811,0.0007384203,0.00073460146,0.0005549432,0.0047161332,0.006794876,0.3004498],"study_design_scores_gemma":[0.000053437303,0.00016962139,0.008142701,0.7808336,0.012968484,0.001257463,0.0013000581,0.00036254636,0.00056247675,0.0025660954,0.19170699,0.00007647966],"about_ca_topic_score_codex":0.008086854,"about_ca_topic_score_gemma":0.021302594,"teacher_disagreement_score":0.015017645,"about_ca_system_score_codex":0.0021817903,"about_ca_system_score_gemma":0.014827205,"threshold_uncertainty_score":0.0282318},"labels":[],"label_agreement":null},{"id":"W3206585717","doi":"10.3390/en14206792","title":"Recent Advances in Cellulose Nanofibers Preparation through Energy-Efficient Approaches: A Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta; Lakehead University; Université du Québec à Trois-Rivières","funders":"","keywords":"Raw material; Renewable energy; Production cost; Production (economics); Nanofiber; Renewable resource; Cellulose; Process engineering; Biochemical engineering; Nanotechnology; Materials science; Engineering; Chemistry; Mechanical engineering; Chemical engineering","score_opus":0.09408141297927203,"score_gpt":0.37493167229026125,"score_spread":0.2808502593109892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206585717","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":[0.0003701596,0.9977569,0.00033185686,0.00015539184,0.00018308446,0.000007659596,0.000025158093,0.000010669984,0.0011591628],"genre_scores_gemma":[0.0009362568,0.998059,0.00039712363,0.000080169586,0.000090426816,0.0000074059126,0.000029724086,0.0000016047355,0.00039834992],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980456,0.000021689819,0.00003072144,0.000043161035,0.00007640775,0.000023447545],"domain_scores_gemma":[0.99960357,0.00018718414,0.00006857671,0.000012939154,0.000098509474,0.000029314275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006508106,0.0011199078,0.001032003,0.0029029327,0.00033674954,0.00082476187,0.00067646307,0.0007692035,0.0034457927],"category_scores_gemma":[0.0007075196,0.0004342104,0.0006045376,0.003191025,0.00030142738,0.0014474784,0.00058102986,0.0010913901,0.0013277112],"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":[0.00006547304,0.00014633419,0.000265798,0.054890268,0.00013505566,0.00031370448,0.0001328708,0.000731166,0.01053248,0.0045666136,0.019374678,0.90884554],"study_design_scores_gemma":[0.000011990256,0.00016220952,0.00091573823,0.0039047094,0.0002066938,0.0010175834,0.000093015406,0.00017469854,0.004176208,0.0014174177,0.98788226,0.000037465248],"about_ca_topic_score_codex":0.0009343152,"about_ca_topic_score_gemma":0.0017034748,"teacher_disagreement_score":0.0034457927,"about_ca_system_score_codex":0.00040680027,"about_ca_system_score_gemma":0.0010810549,"threshold_uncertainty_score":0.0115273595},"labels":[],"label_agreement":null},{"id":"W3206913269","doi":"10.3390/en14206782","title":"A Comparative Analysis of the ARIMA and LSTM Predictive Models and Their Effectiveness for Predicting Wind Speed","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":165,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autoregressive integrated moving average; Mean squared error; Computer science; Recurrent neural network; Artificial neural network; Wind speed; Autoregressive model; Time series; Artificial intelligence; Machine learning; Moving average; Grid; Deep learning; Statistics; Mathematics; Meteorology","score_opus":0.018426755935706522,"score_gpt":0.23088964951892343,"score_spread":0.2124628935832169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206913269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6577296,0.017263578,0.29735,0.0015805754,0.00065155077,0.00011506472,0.0013766657,0.002459174,0.021473773],"genre_scores_gemma":[0.9636974,0.002908736,0.03028411,0.00006803568,0.000093735434,0.0000554309,0.00074232806,0.00007927625,0.002071024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890053,0.00032071437,0.00008506209,0.00020799442,0.00039606186,0.000089653295],"domain_scores_gemma":[0.99571383,0.0030546621,0.00016470613,0.00022400629,0.00077664264,0.00006619094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033253517,0.0010232462,0.00090003107,0.0014041027,0.00048027022,0.0013968094,0.000823239,0.0010345253,0.0015992618],"category_scores_gemma":[0.008774902,0.0002719842,0.00086714607,0.0014418729,0.0003171016,0.0024396842,0.00045844616,0.0011195947,0.00034284865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014750211,0.00028051925,0.025561722,0.0006378512,0.00058926706,0.00026511351,0.0002676861,0.58897245,0.0048185796,0.0076510357,0.0034072169,0.36607358],"study_design_scores_gemma":[0.0000145416125,0.00017317134,0.0057403515,0.000032456242,0.00010090222,0.000048652706,0.00007892589,0.9900338,0.0016255351,0.001220424,0.00090047956,0.000030811934],"about_ca_topic_score_codex":0.021883752,"about_ca_topic_score_gemma":0.015047363,"teacher_disagreement_score":0.021883752,"about_ca_system_score_codex":0.00061403576,"about_ca_system_score_gemma":0.0009045234,"threshold_uncertainty_score":0.04351276},"labels":[],"label_agreement":null},{"id":"W3206916073","doi":"10.3390/en14206653","title":"Modelling Surface Electric Discharge Propagation on Polluted Insulators under AC Voltage","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Direction Générale de la Recherche Scientifique et du Développement Technologique; Natural Sciences and Engineering Research Council of Canada","keywords":"Electric field; Voltage; Electric arc; Mechanics; Electric discharge; Voltage drop; Electrode; RADIUS; Finite element method; Materials science; Electric discharge in gases; Acoustics; Electrical engineering; Physics; Engineering; Computer science; Structural engineering","score_opus":0.018555119710389246,"score_gpt":0.23459667003009171,"score_spread":0.21604155031970246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206916073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18207075,0.0004409555,0.80844945,0.00014936272,0.00005237088,0.00006771345,0.00018734497,0.00042704324,0.008154959],"genre_scores_gemma":[0.9739221,0.0005824453,0.01866685,0.000027273953,0.000019477098,0.00007784683,0.00013593247,0.000060066683,0.006507898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998535,0.000024506267,0.000007374189,0.0000305931,0.000059953818,0.000024019282],"domain_scores_gemma":[0.99969935,0.00016243519,0.000039147213,0.000028225897,0.000059769958,0.000011108224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021816301,0.00051216927,0.0005432286,0.00053163304,0.00025156763,0.0007873406,0.0008542756,0.0013910917,0.0010926807],"category_scores_gemma":[0.0007815325,0.0003245178,0.00069248397,0.0003701261,0.0007014504,0.0008560704,0.00040161848,0.0005583522,0.0003131002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014407911,0.000019828778,0.00040813014,0.00004108156,0.000008240756,0.0001281815,0.00004039909,0.98518836,0.008478343,0.0030616946,0.00006453226,0.0025467458],"study_design_scores_gemma":[0.0000017897595,0.000008005761,0.000068726666,0.0000016075661,0.0000018653963,0.00001440993,0.000005408715,0.9985721,0.0008235238,0.00039518077,0.000105436324,0.0000020076475],"about_ca_topic_score_codex":0.0038201641,"about_ca_topic_score_gemma":0.0015994444,"teacher_disagreement_score":0.0038201641,"about_ca_system_score_codex":0.0005884203,"about_ca_system_score_gemma":0.00060251576,"threshold_uncertainty_score":0.007595837},"labels":[],"label_agreement":null},{"id":"W3207156182","doi":"10.3390/en14216936","title":"Commercial PV Inverter IEEE 1547.1 Ride-Through Assessments Using an Automated PHIL Test Platform","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Blackout; Reliability engineering; Photovoltaic system; Engineering; Renewable energy; Grid; Electric power system; Inverter; Distributed generation; Computer science; Embedded system; Electrical engineering; Voltage; Power (physics)","score_opus":0.04808793512466507,"score_gpt":0.3201393188621432,"score_spread":0.2720513837374781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207156182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70400757,0.000105190215,0.26157406,0.0001203173,0.000088950335,0.0006042153,0.0015301197,0.011464479,0.020505084],"genre_scores_gemma":[0.9745204,0.000027225045,0.022585506,0.000023847551,0.0000038598155,0.0001372651,0.0004530585,0.00015264041,0.0020962954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991899,0.00024910408,0.000044253862,0.00009935474,0.00035474976,0.000062571],"domain_scores_gemma":[0.9987281,0.00039192758,0.0001842052,0.00028634956,0.00037434246,0.000035116667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008208424,0.0005174214,0.00024979538,0.00072957046,0.0002297782,0.00039684825,0.0007633952,0.00037644277,0.0044300244],"category_scores_gemma":[0.0018497909,0.00017533482,0.00021827764,0.0003192444,0.00026953284,0.00056667475,0.00035776803,0.0003924284,0.000755753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016738817,0.0011791771,0.038165838,0.0010180572,0.00016416232,0.0010801998,0.00090213626,0.34019724,0.26298183,0.008555319,0.0138422195,0.33023992],"study_design_scores_gemma":[0.00028354107,0.0033804302,0.018706486,0.00007424144,0.00006886409,0.000560635,0.00017905614,0.7142401,0.24632405,0.0022610663,0.013851238,0.00007032236],"about_ca_topic_score_codex":0.0010230015,"about_ca_topic_score_gemma":0.0016417908,"teacher_disagreement_score":0.0044300244,"about_ca_system_score_codex":0.00041220334,"about_ca_system_score_gemma":0.0003878126,"threshold_uncertainty_score":0.01481992},"labels":[],"label_agreement":null},{"id":"W3207616843","doi":"10.3390/en14206525","title":"An Energy Management System of Campus Microgrids: State-of-the-Art and Future Challenges","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Villum Fonden","keywords":"Microgrid; Renewable energy; Greenhouse gas; Energy management; Photovoltaic system; Energy management system; Environmental economics; Energy storage; Computer science; Demand response; Efficient energy use; Systems engineering; Risk analysis (engineering); Engineering; Power (physics); Energy (signal processing); Business; Electricity; Economics; Electrical engineering","score_opus":0.002542301201287722,"score_gpt":0.15888824648347658,"score_spread":0.15634594528218884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207616843","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.122531354,0.09357785,0.7040273,0.014561946,0.00091408443,0.00021638276,0.00064457307,0.0019499026,0.061576653],"genre_scores_gemma":[0.8595639,0.030027075,0.10165649,0.0005085707,0.00047149035,0.00010978732,0.0005271787,0.00009859769,0.0070370277],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999721,0.00009041541,0.000020675667,0.00006213994,0.000074268566,0.00003155773],"domain_scores_gemma":[0.99954176,0.00009726437,0.0000400217,0.00006170937,0.00019786469,0.00006138635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078664615,0.0005123636,0.00060723675,0.0003651358,0.00045082497,0.0024063531,0.0011471639,0.0007429935,0.0026165822],"category_scores_gemma":[0.00083250494,0.00014986184,0.0003792081,0.0011191325,0.00049934484,0.0025153833,0.0010007251,0.0007473689,0.0007453493],"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":[0.00012217966,0.00013800121,0.003935839,0.0012011458,0.0001180011,0.00020914331,0.00023625746,0.32270682,0.0063822046,0.05731161,0.012256877,0.59538186],"study_design_scores_gemma":[0.000018794686,0.00018741984,0.0024700768,0.00039682208,0.00007760061,0.00019824838,0.0014706032,0.83201414,0.00454671,0.043965235,0.114585586,0.00006873682],"about_ca_topic_score_codex":0.002574027,"about_ca_topic_score_gemma":0.0019752034,"teacher_disagreement_score":0.0026165822,"about_ca_system_score_codex":0.00068584026,"about_ca_system_score_gemma":0.001158431,"threshold_uncertainty_score":0.008753359},"labels":[],"label_agreement":null},{"id":"W3207621341","doi":"10.3390/en14206682","title":"Multiscale Decision-Making for Enterprise-Wide Operations Incorporating Clustering of High-Dimensional Attributes and Big Data Analytics: Applications to Energy Hub","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cluster analysis; Computer science; Big data; Flexibility (engineering); Scheduling (production processes); Data mining; Mathematical optimization; Machine learning; Mathematics","score_opus":0.03271652835149473,"score_gpt":0.26304259697389987,"score_spread":0.23032606862240512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207621341","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023134839,0.00044184236,0.9741424,0.00054892496,0.00004586556,0.0000408827,0.000052188636,0.00008846577,0.001504629],"genre_scores_gemma":[0.7644505,0.0008399236,0.2326593,0.0001564618,0.00010349307,0.00016180899,0.00015433384,0.00005235419,0.0014217967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991535,0.00035331256,0.000042894106,0.00017542142,0.00019722259,0.000077634315],"domain_scores_gemma":[0.99818414,0.001209658,0.00020205334,0.00007330781,0.0002138972,0.000116873714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017514328,0.0010572508,0.0012483448,0.0006704425,0.00065122044,0.0016612888,0.0009974949,0.001551228,0.0014376],"category_scores_gemma":[0.0029750552,0.0005850183,0.0012908346,0.0013136914,0.0010250434,0.0016580746,0.001490647,0.001795667,0.000137123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026137503,0.000036693364,0.0004417123,0.00006914612,0.00003776226,0.00007594179,0.000049810544,0.9746575,0.00069550105,0.01124811,0.00036582726,0.01229581],"study_design_scores_gemma":[0.0000018350315,0.000009090413,0.00008205697,0.0000036736717,0.0000042031857,0.0000043885816,0.000018649152,0.99427116,0.00015086515,0.0052821804,0.00016803856,0.000003940861],"about_ca_topic_score_codex":0.0066385744,"about_ca_topic_score_gemma":0.0058592996,"teacher_disagreement_score":0.0066385744,"about_ca_system_score_codex":0.0015943075,"about_ca_system_score_gemma":0.0016075929,"threshold_uncertainty_score":0.013199866},"labels":[],"label_agreement":null},{"id":"W3208156321","doi":"10.3390/en14217131","title":"Application of Gene Expression Programming (GEP) in Modeling Hydrocarbon Recovery in WAG Injection Process","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gene expression programming; Dimensionless quantity; Process (computing); Sensitivity (control systems); Mean squared error; Mathematics; Computer science; Petroleum engineering; Engineering; Statistics; Machine learning; Mechanics","score_opus":0.006613547136553452,"score_gpt":0.22950099430412596,"score_spread":0.2228874471675725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208156321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3078095,0.0004937737,0.68536484,0.0003732909,0.000041972806,0.00012659565,0.00026430408,0.0005392042,0.0049865292],"genre_scores_gemma":[0.8962974,0.00034844445,0.10104663,0.00006653408,0.000009554205,0.00024537323,0.00017394623,0.000056425342,0.0017557135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998387,0.000051757634,0.0000073451697,0.000044927387,0.00003652738,0.000020685637],"domain_scores_gemma":[0.9995896,0.00030464612,0.0000380598,0.0000109839075,0.000048689202,0.000007965194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053882826,0.0006859726,0.0004183077,0.00029558825,0.00028607488,0.00047130918,0.0005252903,0.000767578,0.000656901],"category_scores_gemma":[0.001212887,0.00027884566,0.0005760358,0.00043591243,0.00042616238,0.0003137301,0.00040572614,0.0008970013,0.000116371426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014364971,0.000022101272,0.0011056492,0.00003501412,0.000007885488,0.000040487652,0.000024813344,0.9895719,0.001989121,0.0007772146,0.00006063425,0.006350865],"study_design_scores_gemma":[9.775979e-7,0.000012923141,0.000108079454,0.0000018552131,0.0000018674525,0.0000037043148,0.0000056298145,0.9986504,0.00091205834,0.00019544436,0.00010549679,0.0000017024101],"about_ca_topic_score_codex":0.0066374266,"about_ca_topic_score_gemma":0.004297816,"teacher_disagreement_score":0.0066374266,"about_ca_system_score_codex":0.00051504443,"about_ca_system_score_gemma":0.00082003756,"threshold_uncertainty_score":0.013197601},"labels":[],"label_agreement":null},{"id":"W3208173517","doi":"10.3390/en14216986","title":"Three-Dimensional Thermal Simulations of 18650 Lithium-Ion Batteries Cooled by Different Schemes under High Rate Discharging and External Shorting Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Battery (electricity); Thermal runaway; Battery pack; Materials science; Nuclear engineering; Thermal; Coolant; Lithium (medication); Computer cooling; Lithium-ion battery; Ion; Composite material; Mechanical engineering; Thermodynamics; Chemistry; Thermal management of electronic devices and systems; Engineering; Physics","score_opus":0.01304098849145986,"score_gpt":0.25565309618646553,"score_spread":0.24261210769500569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208173517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769936,0.00017459731,0.010164024,0.00023346173,0.00004530962,0.000040041923,0.0006733258,0.00016568672,0.011509886],"genre_scores_gemma":[0.9953217,0.00009672403,0.002191785,0.00004080703,0.0000058048913,0.0000604114,0.00037316815,0.000028061322,0.0018814631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992955,0.0000121844905,0.0000041255407,0.000011347526,0.000021516127,0.000021128439],"domain_scores_gemma":[0.9998282,0.00007596641,0.000018180008,0.000014224461,0.000041479932,0.000021811766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014336672,0.00040713197,0.0004983487,0.00026450682,0.00051974336,0.0005596445,0.0006886664,0.00086145126,0.0028727632],"category_scores_gemma":[0.000516273,0.0002621796,0.0007028476,0.00038915433,0.00049029855,0.0005145729,0.00033154085,0.00051217584,0.00018050635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083439685,0.000046422134,0.0026810458,0.00004406878,0.000024893236,0.00014498406,0.00006873898,0.99009645,0.004152727,0.00075467007,0.00032292938,0.0015795687],"study_design_scores_gemma":[0.00001945486,0.00003522736,0.0010676357,0.0000046392897,0.000008775107,0.000017879207,0.00006623397,0.9969181,0.0013077471,0.0001853916,0.000361895,0.0000069781872],"about_ca_topic_score_codex":0.011178664,"about_ca_topic_score_gemma":0.008344845,"teacher_disagreement_score":0.011178664,"about_ca_system_score_codex":0.0004975404,"about_ca_system_score_gemma":0.0006431141,"threshold_uncertainty_score":0.022227228},"labels":[],"label_agreement":null},{"id":"W3208790524","doi":"10.3390/en14217110","title":"Hygrothermal and Mechanical Behaviors of Fiber Mortar: Comparative Study between Palm and Hemp Fibers","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Mortar; Composite material; Fiber; Porosity; Scanning electron microscope; Moisture; Absorption of water; Compressive strength; Microstructure; Synthetic fiber; Natural fiber","score_opus":0.023120474113259206,"score_gpt":0.28810749853294704,"score_spread":0.26498702441968786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208790524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781847,0.00061997416,0.0009507226,0.0000056641793,0.0000047548024,0.000011602275,0.000057116184,0.000008265362,0.00052336085],"genre_scores_gemma":[0.9974577,0.00043311177,0.0011739064,0.000011495823,0.000005801681,0.00000945177,0.00008023055,0.000009664365,0.00081866694],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998344,0.000025716243,0.000010879092,0.000041934458,0.000059535214,0.000027423192],"domain_scores_gemma":[0.99977773,0.00006530205,0.000062673105,0.00001256954,0.000046516012,0.00003522371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025328362,0.00031073965,0.00017209831,0.0003088918,0.00017842231,0.00017072719,0.00010809357,0.00020252491,0.0010551724],"category_scores_gemma":[0.0002573193,0.00012795096,0.00019274415,0.00014761167,0.00022825866,0.00029377,0.000119656645,0.00023024445,0.00014456983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008339506,0.000017744002,0.0004785353,0.000037253743,0.0000046169703,0.00004021423,0.000032745924,0.000064684624,0.9979371,0.000012366664,0.0000036978515,0.0012877091],"study_design_scores_gemma":[0.000002811122,0.0010006216,0.018064212,0.000010960696,0.000021681428,0.00016168538,0.00009203835,0.00045312283,0.9795808,0.000014134731,0.00059139315,0.000006439566],"about_ca_topic_score_codex":0.00045837628,"about_ca_topic_score_gemma":0.0016864658,"teacher_disagreement_score":0.0010551724,"about_ca_system_score_codex":0.00011415776,"about_ca_system_score_gemma":0.000076326396,"threshold_uncertainty_score":0.0035299063},"labels":[],"label_agreement":null},{"id":"W3208992818","doi":"10.3390/en14217147","title":"Economic Evaluation of the Production of Perennial Crops for Energy Purposes—A Review","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":19,"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":"Narodowe Centrum Badań i Rozwoju; Uniwersytet Warmińsko-Mazurski w Olsztynie","keywords":"Miscanthus; Willow; Energy crop; Short rotation coppice; Bioenergy; Production (economics); Perennial plant; Renewable energy; Biomass (ecology); Sustainability; Agroforestry; Environmental science; Agricultural economics; Economics; Agronomy; Engineering; Biology; Ecology","score_opus":0.035430393589242146,"score_gpt":0.2570094783394901,"score_spread":0.22157908475024796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208992818","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":[0.00048577713,0.99806756,0.00022193788,0.00012887358,0.00008079051,0.000010285289,0.00003915756,0.000002350482,0.0009633806],"genre_scores_gemma":[0.0036022908,0.9957877,0.00028664008,0.00005243334,0.00008195211,0.000010150107,0.00003930362,0.0000018590704,0.00013769376],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851364,0.0003563018,0.00027395785,0.00017796252,0.00060832856,0.00006971093],"domain_scores_gemma":[0.9945427,0.0038952415,0.000652882,0.000065257474,0.0007797396,0.00006410762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002471486,0.0011629896,0.0021082798,0.0075483946,0.0002494667,0.002603282,0.0009841312,0.0012304666,0.0027490961],"category_scores_gemma":[0.0047906837,0.00046924144,0.0014591431,0.010492521,0.0005674382,0.0020451925,0.00049353985,0.0007023454,0.0005231707],"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":[0.0001795587,0.00016200628,0.001164775,0.17300832,0.0010889389,0.0003365872,0.00016773303,0.0031977352,0.0014572475,0.012309934,0.0109155495,0.7960116],"study_design_scores_gemma":[0.000045101147,0.00056821073,0.0103151165,0.14205006,0.003067146,0.0014384296,0.0006644054,0.0018665781,0.0025594623,0.009447947,0.82783186,0.0001456419],"about_ca_topic_score_codex":0.0030929542,"about_ca_topic_score_gemma":0.0031522168,"teacher_disagreement_score":0.0075483946,"about_ca_system_score_codex":0.0015950805,"about_ca_system_score_gemma":0.0023032266,"threshold_uncertainty_score":0.013070643},"labels":[],"label_agreement":null},{"id":"W3209132923","doi":"10.3390/en14217007","title":"Experimental Study on the Effect of Temperature on the Mechanical Properties of Unconsolidated Silty Sandstones","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Universidad Nacional de Colombia; University of Alberta","keywords":"Overburden pressure; Geotechnical engineering; Cohesion (chemistry); Geology; Materials science; Outcrop; Mineralogy; Geochemistry; Chemistry","score_opus":0.011828423259745407,"score_gpt":0.20954972736349853,"score_spread":0.19772130410375313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209132923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985506,0.00013947216,0.0005298593,0.000007850799,0.0000045429833,0.0000125871975,0.00021310635,0.000012297493,0.00052975793],"genre_scores_gemma":[0.9980313,0.0001331139,0.00096308475,0.000007733386,0.0000024169876,0.000020260808,0.00019529973,0.000006796501,0.00064011227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997321,0.000020868883,0.000021882837,0.000055588825,0.00011855149,0.00005097324],"domain_scores_gemma":[0.99947864,0.00010790852,0.00009662411,0.000063188236,0.00020723227,0.00004647107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020401788,0.00035860567,0.0002682958,0.00026061395,0.00042738792,0.0001815432,0.00021098804,0.00026614373,0.0019626112],"category_scores_gemma":[0.00037013652,0.00016349369,0.00017049213,0.00036972956,0.00033263344,0.00020812744,0.0001650952,0.0002978122,0.00021600873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030793052,0.00007078586,0.002445577,0.000068860514,0.000005883201,0.00006965548,0.000098891695,0.00038120657,0.99475324,0.000026540778,0.000032001557,0.0017393564],"study_design_scores_gemma":[0.000012795784,0.0010005581,0.045281284,0.000009092401,0.000027955704,0.00007731003,0.00021132495,0.0010612848,0.9513561,0.00002256408,0.00092012907,0.000019446872],"about_ca_topic_score_codex":0.0026407698,"about_ca_topic_score_gemma":0.0075585856,"teacher_disagreement_score":0.0026407698,"about_ca_system_score_codex":0.00022888563,"about_ca_system_score_gemma":0.00020662903,"threshold_uncertainty_score":0.006565571},"labels":[],"label_agreement":null},{"id":"W3209241420","doi":"10.3390/en14216957","title":"How CO2-to-Diesel Technology Could Help Reach Net-Zero Emissions Targets: A Canadian Case Study","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Environmental economics; Diesel fuel; Renewable energy; Carbon price; Carbon neutrality; Greenhouse gas; Cost of electricity by source; Leverage (statistics); Carbon capture and storage (timeline); Natural resource economics; Environmental science; Electricity generation; Economics; Engineering; Computer science; Waste management; Climate change","score_opus":0.011227323751623022,"score_gpt":0.22098932604430366,"score_spread":0.20976200229268063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209241420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7177483,0.002527347,0.01800306,0.008780605,0.00013831382,0.0008150522,0.004462726,0.00029151127,0.24723297],"genre_scores_gemma":[0.96573037,0.0019145572,0.011714977,0.00037622146,0.000014091515,0.000087342516,0.0007922685,0.000051340143,0.019319016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890745,0.00017061384,0.00002074872,0.00008701522,0.0003564694,0.00045770284],"domain_scores_gemma":[0.9990146,0.00021547393,0.000041727686,0.000042605836,0.0005119753,0.00017360871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087354117,0.0008499399,0.000360477,0.0014718629,0.004437711,0.002178443,0.0020246808,0.0016594463,0.0038600268],"category_scores_gemma":[0.0019540258,0.00025087182,0.0008968022,0.002916902,0.0016198038,0.00086219737,0.0010299634,0.0011860727,0.0002993271],"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":[0.00048016972,0.00072143774,0.04571006,0.0009071243,0.00017105899,0.008145587,0.0020062444,0.62962717,0.007279061,0.17334424,0.0440897,0.08751824],"study_design_scores_gemma":[0.00045485518,0.00052956044,0.051249806,0.00037780055,0.00044020705,0.0011412756,0.017452648,0.6513448,0.014696004,0.024972059,0.23692709,0.0004139782],"about_ca_topic_score_codex":0.986068,"about_ca_topic_score_gemma":0.9907432,"teacher_disagreement_score":0.048677962,"about_ca_system_score_codex":0.048677962,"about_ca_system_score_gemma":0.044473585,"threshold_uncertainty_score":0.353185},"labels":[],"label_agreement":null},{"id":"W3209722456","doi":"10.3390/en14217088","title":"Differential Thermal Evolution between Oil and Source Rocks in the Carboniferous Shale Reservoir of the Qaidam Basin, NW China","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Source rock; Geology; Oil shale; Maturity (psychological); Kerogen; Vitrinite; Geochemistry; Carboniferous; Shale oil; Hydrocarbon; Total organic carbon; Mineralogy; Petrology; Structural basin; Paleontology; Sedimentary rock; Chemistry; Environmental chemistry","score_opus":0.0075560940917428045,"score_gpt":0.19622369684964594,"score_spread":0.18866760275790315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209722456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997497,0.00001909293,0.000040765237,0.0000041198373,3.4820036e-7,0.0000012029105,0.00005500083,0.0000018381667,0.00012791528],"genre_scores_gemma":[0.99963975,0.000015740094,0.00005559981,0.0000024275735,5.9780126e-7,0.0000017699991,0.00009851539,9.972828e-7,0.00018453112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994576,0.0000034141678,0.000004015425,0.000017841492,0.000013178119,0.000015684904],"domain_scores_gemma":[0.9999461,0.0000071182094,0.000014322682,0.0000034675438,0.000017353153,0.0000115829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009582276,0.00019044364,0.00013057666,0.00081963284,0.00035498993,0.00023136963,0.00017229354,0.00020379486,0.00048772647],"category_scores_gemma":[0.000110998844,0.0001676649,0.00012699398,0.0005281722,0.00027727228,0.00021537079,0.00022268244,0.00009718109,0.000073207775],"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":[0.00020604586,0.000051074207,0.8813311,0.00006516058,0.00005964953,0.00046333164,0.0011274475,0.0013520643,0.105047554,0.00015431136,0.00010718715,0.010035183],"study_design_scores_gemma":[0.000002253327,0.000014178355,0.9963337,0.0000020287032,0.0000067680153,0.000046241374,0.00020847483,0.0012532538,0.0020145664,0.000013913711,0.000101223195,0.0000033576266],"about_ca_topic_score_codex":0.041330677,"about_ca_topic_score_gemma":0.09945621,"teacher_disagreement_score":0.041330677,"about_ca_system_score_codex":0.00057674036,"about_ca_system_score_gemma":0.00042926613,"threshold_uncertainty_score":0.0821802},"labels":[],"label_agreement":null},{"id":"W3210069258","doi":"10.3390/en14217277","title":"Impacts of Environmental Agreements on Bilateral Trade of Climate Industry","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Kyoto Protocol; International trade; Climate change; Bilateral trade; International economics; Economics; Business; Political science; Ecology","score_opus":0.017102988376373324,"score_gpt":0.19957760926492982,"score_spread":0.18247462088855648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210069258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871221,0.0007781439,0.0032568828,0.001069344,0.00004875757,0.000029024653,0.0018261261,0.000027776352,0.005841762],"genre_scores_gemma":[0.9971732,0.00016348653,0.0004976717,0.00007351816,0.00003297824,0.000022598942,0.0011404793,0.0000075795506,0.000888471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9882818,0.00722964,0.0005256413,0.0015955473,0.0013303901,0.001037038],"domain_scores_gemma":[0.94302464,0.03849574,0.01326533,0.0026377535,0.0015175857,0.0010589088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010946265,0.0002780694,0.0005917371,0.0016092445,0.0007776353,0.0024183954,0.0005961813,0.00082722463,0.006550563],"category_scores_gemma":[0.041210674,0.0001752155,0.0011858343,0.0029456432,0.0014279548,0.0017143894,0.002623293,0.0020785993,0.0007361275],"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":[0.00031008088,0.00012184796,0.95942414,0.00008226699,0.0005685502,0.00038437263,0.00045090175,0.012660648,0.0003280483,0.008316356,0.0011711356,0.016181706],"study_design_scores_gemma":[0.00008598899,0.0003668977,0.94494504,0.000121728546,0.0005027549,0.00028098686,0.0023112514,0.031595726,0.0010944897,0.009663738,0.008983814,0.000047512905],"about_ca_topic_score_codex":0.010038399,"about_ca_topic_score_gemma":0.0073249624,"teacher_disagreement_score":0.010946265,"about_ca_system_score_codex":0.0012185124,"about_ca_system_score_gemma":0.0010642208,"threshold_uncertainty_score":0.057890058},"labels":[],"label_agreement":null},{"id":"W3210242289","doi":"10.3390/en14216928","title":"An Attempt to Use Machine Learning Algorithms to Estimate the Rockburst Hazard in Underground Excavations of Hard Coal Mine","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Ministerstwo Edukacji i Nauki","keywords":"Rock mass classification; Excavation; Artificial neural network; Coal mining; Mining engineering; Underground mining (soft rock); Rock burst; Decision tree; Engineering; Hazard; Random forest; Gradient boosting; Geotechnical engineering; Machine learning; Coal; Computer science","score_opus":0.025863942509708436,"score_gpt":0.2761590734549907,"score_spread":0.2502951309452823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210242289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42263162,0.0007799281,0.5736736,0.00025641505,0.000061000523,0.00010643977,0.000268193,0.00079087814,0.0014319343],"genre_scores_gemma":[0.89115614,0.00025824155,0.10745227,0.000048980288,0.000026799697,0.00008250464,0.00032865454,0.000016455042,0.0006299753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995951,0.00009103968,0.000050035713,0.00012298698,0.00008867245,0.00005217051],"domain_scores_gemma":[0.9988859,0.000559672,0.0001770286,0.000060159935,0.00028042617,0.00003674145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119152,0.0007618872,0.0007941346,0.0018796508,0.00030435465,0.00070718623,0.00066073175,0.00092597626,0.00040975373],"category_scores_gemma":[0.0031680593,0.00024602775,0.00061377016,0.0008718303,0.00018876883,0.0008804514,0.0004186029,0.00056310964,0.00015994487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016458082,0.00034938072,0.071376674,0.00014418739,0.00014894085,0.00017498348,0.00010988328,0.64483684,0.0047844625,0.0012584545,0.000984885,0.2756667],"study_design_scores_gemma":[0.000004863848,0.000043559623,0.006310919,0.00001073894,0.000016267311,0.000037147078,0.00003050645,0.9916779,0.0010578515,0.0006485529,0.00015308149,0.000008702731],"about_ca_topic_score_codex":0.0052594547,"about_ca_topic_score_gemma":0.0032386759,"teacher_disagreement_score":0.0052594547,"about_ca_system_score_codex":0.00034913706,"about_ca_system_score_gemma":0.0007062158,"threshold_uncertainty_score":0.0104576945},"labels":[],"label_agreement":null},{"id":"W3210313459","doi":"10.3390/en14217020","title":"Optimum Multi-Mini-Channels Height for Heat Enhancement under Forced Convection Condition","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Qatar Foundation","keywords":"Nusselt number; Pressure drop; Reynolds number; Mechanics; Laminar flow; Aspect ratio (aeronautics); Forced convection; Flow (mathematics); Materials science; Open-channel flow; Thermodynamics; Channel (broadcasting); Heat transfer; Physics; Engineering; Turbulence; Electrical engineering; Composite material","score_opus":0.017988404510130555,"score_gpt":0.2468253043792071,"score_spread":0.22883689986907654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210313459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818455,0.00037732426,0.016438965,0.000026960117,0.000017670493,0.00002151983,0.00007295522,0.000120160046,0.001078884],"genre_scores_gemma":[0.99280787,0.00009250905,0.0068670292,0.0000051166144,0.0000035071562,0.000016163025,0.000027885791,0.000011555292,0.00016825949],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988353,0.000013133839,0.0000067248907,0.000025153262,0.000023377099,0.00004815424],"domain_scores_gemma":[0.9997259,0.00009623514,0.00006307849,0.000025231071,0.000043342792,0.000046216468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020678002,0.00026690098,0.00029582425,0.0002709918,0.00020697292,0.000383081,0.00022007799,0.0002350706,0.0008276003],"category_scores_gemma":[0.00035793195,0.00014416168,0.0002516883,0.00018293662,0.00022202544,0.0003809021,0.0002514518,0.0001790674,0.0001364215],"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":[0.0004339757,0.000116825366,0.0020411345,0.00017059442,0.000013008988,0.00008963943,0.000047517693,0.021477891,0.9614598,0.00078865135,0.00020437271,0.013156561],"study_design_scores_gemma":[0.000051924242,0.0011537819,0.013707669,0.000020903362,0.00005502252,0.00017828454,0.00011685095,0.08300426,0.8994667,0.0005215783,0.0016621172,0.000060857696],"about_ca_topic_score_codex":0.00026147734,"about_ca_topic_score_gemma":0.0008570248,"teacher_disagreement_score":0.0008276003,"about_ca_system_score_codex":0.00018245078,"about_ca_system_score_gemma":0.00039067853,"threshold_uncertainty_score":0.0027686357},"labels":[],"label_agreement":null},{"id":"W3211461914","doi":"10.3390/en14227670","title":"Comparative Study on Quality of Fuel Pellets from Switchgrass Treated with Different White-Rot Fungi","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada","keywords":"Pellet; Phanerochaete; Pellets; Pelletizing; Trametes versicolor; Ultimate tensile strength; Fermentation; Chrysosporium; Food science; Chemistry; Pulp and paper industry; Materials science; Botany; Composite material; Biology; Laccase; Engineering; Biochemistry; Lignin","score_opus":0.03519962107989067,"score_gpt":0.2606798857737012,"score_spread":0.22548026469381055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211461914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967313,0.0008627243,0.0013055068,0.000018178742,0.000014673741,0.0000138007645,0.00043050962,0.000021132384,0.0006021425],"genre_scores_gemma":[0.99438274,0.0008712915,0.0021529389,0.00003287699,0.0000057793404,0.000023356717,0.0010510513,0.00004106791,0.00143879],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997187,0.00003259908,0.000027864891,0.000052710613,0.000109746514,0.000058270532],"domain_scores_gemma":[0.9996902,0.0000442821,0.00008850742,0.0000144908445,0.00012112353,0.000041471594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023598592,0.0006463188,0.00040732356,0.00048548402,0.00026898683,0.00060943735,0.00014724153,0.00028462106,0.0008576289],"category_scores_gemma":[0.0003200022,0.00020822907,0.00056795817,0.0005965178,0.00016983062,0.0003495464,0.00021743326,0.00042121016,0.00014712827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016513887,0.000021371505,0.0009821361,0.0000644403,0.00001933797,0.000063269894,0.000029130792,0.00010108562,0.9965911,0.000012177756,0.000012959692,0.001937868],"study_design_scores_gemma":[0.0000064137134,0.0006637305,0.035636768,0.00001478057,0.0000967677,0.00010200014,0.00015261635,0.0005843262,0.9620366,0.000015395473,0.0006766839,0.000013848931],"about_ca_topic_score_codex":0.002466854,"about_ca_topic_score_gemma":0.0047273953,"teacher_disagreement_score":0.002466854,"about_ca_system_score_codex":0.00019616824,"about_ca_system_score_gemma":0.00016439364,"threshold_uncertainty_score":0.0049049854},"labels":[],"label_agreement":null},{"id":"W3212118495","doi":"10.3390/en14227586","title":"Waste-to-Energy: An Opportunity to Increase Renewable Energy Share and Reduce Ecological Footprint in Small Island Developing States (SIDS)","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Universitas Lampung","keywords":"Renewable energy; Fossil fuel; Waste-to-energy; Incineration; Greenhouse gas; Waste management; Environmental science; Municipal solid waste; Population; Environmental engineering; Environmental protection; Engineering; Ecology","score_opus":0.033180947239478356,"score_gpt":0.2510829281483344,"score_spread":0.21790198090885604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212118495","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035407245,0.87703496,0.009600222,0.010777143,0.0007613262,0.00011729398,0.0014353894,0.00011981678,0.06474656],"genre_scores_gemma":[0.2050275,0.77773285,0.009668172,0.001409424,0.00020366153,0.00009063147,0.00080039405,0.000028187282,0.0050391676],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99976593,0.000070721944,0.00003732237,0.00002852214,0.00007235434,0.000025195508],"domain_scores_gemma":[0.99964595,0.00015880422,0.00007223143,0.000015123774,0.00009342628,0.0000144295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069680647,0.0005190062,0.00038391785,0.0030290515,0.0004952241,0.0020389694,0.00036983387,0.00058043044,0.0020478277],"category_scores_gemma":[0.0009674965,0.0001397669,0.00045184398,0.0061329976,0.00074113044,0.0017832044,0.0008304699,0.00058864075,0.00027529433],"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":[0.000062785366,0.000049703463,0.0064074215,0.026154047,0.00014337161,0.0008528462,0.0021197004,0.0017214908,0.004287959,0.07617369,0.013552887,0.8684741],"study_design_scores_gemma":[0.000007873111,0.00016997578,0.016862353,0.018212652,0.0003222705,0.0009704119,0.0073850597,0.0006565367,0.004497515,0.022398708,0.9284685,0.000048241214],"about_ca_topic_score_codex":0.006173899,"about_ca_topic_score_gemma":0.013138577,"teacher_disagreement_score":0.006173899,"about_ca_system_score_codex":0.001175593,"about_ca_system_score_gemma":0.0043235733,"threshold_uncertainty_score":0.012275934},"labels":[],"label_agreement":null},{"id":"W3212182992","doi":"10.3390/en14217318","title":"Macromodeling High-Speed Circuit Data Using Rational Krylov Fitting Method","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Convergence (economics); Applied mathematics; Algorithm; Curve fitting; Computer science; Matrix (chemical analysis); Numerical analysis; Krylov subspace; Mathematics; Mathematical optimization; Iterative method; Mathematical analysis","score_opus":0.05581307499351603,"score_gpt":0.3045267153215508,"score_spread":0.24871364032803475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212182992","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008154102,0.00003634574,0.989783,0.000027814487,0.0000110331885,0.00001771078,0.000032132375,0.00037759237,0.0015602731],"genre_scores_gemma":[0.6583455,0.00032033262,0.3358817,0.000058701,0.000029595187,0.00016380052,0.00024686576,0.00037174407,0.0045817993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979275,0.0000634806,0.000009174152,0.000031210817,0.00008289337,0.000020466661],"domain_scores_gemma":[0.99968374,0.00014079739,0.000036220677,0.000057979534,0.00007127586,0.000010059155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004686027,0.00071536365,0.00060140813,0.00047100685,0.00037296646,0.00055981975,0.0010003848,0.00073611137,0.002624265],"category_scores_gemma":[0.0012725955,0.00029508228,0.0006278265,0.0006408356,0.00045999492,0.001154985,0.0002917656,0.00075437763,0.00066409813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015861086,0.000014589945,0.0002620035,0.000035925732,0.0000103479715,0.000041397016,0.00005790341,0.96686405,0.0031350448,0.01330761,0.00027984445,0.015975477],"study_design_scores_gemma":[0.0000015532617,0.0000050305575,0.000025037147,0.0000019395081,0.0000012345583,0.000007890416,0.000005334154,0.99770254,0.00045051784,0.0013782737,0.00041768976,0.0000028997474],"about_ca_topic_score_codex":0.0041865874,"about_ca_topic_score_gemma":0.003180681,"teacher_disagreement_score":0.0041865874,"about_ca_system_score_codex":0.0005004623,"about_ca_system_score_gemma":0.00064706086,"threshold_uncertainty_score":0.008779049},"labels":[],"label_agreement":null},{"id":"W3212441087","doi":"10.3390/en14227481","title":"Cost-Optimized Microgrid Coalitions Using Bayesian Reinforcement Learning","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Reinforcement learning; Renewable energy; Scheduling (production processes); Computer science; Mathematical optimization; Engineering; Artificial intelligence; Control (management)","score_opus":0.022077355232414483,"score_gpt":0.2382437622502773,"score_spread":0.21616640701786283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212441087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07091598,0.00038485558,0.9171765,0.00042923304,0.000058902784,0.00009781016,0.00013023351,0.00033370827,0.0104728695],"genre_scores_gemma":[0.9688274,0.0001304926,0.027382582,0.000081210674,0.000017287055,0.000090620204,0.00008553394,0.00004322059,0.0033415998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994772,0.00018795607,0.000018201812,0.000100288074,0.000113588525,0.000102804785],"domain_scores_gemma":[0.99874026,0.0006900865,0.00019184049,0.00006225791,0.00018465823,0.0001309614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010958638,0.00089714624,0.001262568,0.0003918854,0.00044009456,0.00096201315,0.0013918251,0.0009675933,0.0032563782],"category_scores_gemma":[0.0029898637,0.0004863669,0.0005611345,0.00042142402,0.00078843307,0.0011111827,0.001317188,0.0013379914,0.00035389024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029304203,0.000021936934,0.00024296182,0.000013856314,0.00001654111,0.000030217989,0.000020964213,0.9887833,0.00021064989,0.005099048,0.000322135,0.0052090855],"study_design_scores_gemma":[0.0000050204735,0.000007771799,0.00002931237,0.0000018096091,0.0000026416533,0.0000033165397,0.0000039505526,0.9977701,0.00003914842,0.0020361834,0.00009917685,0.0000015887957],"about_ca_topic_score_codex":0.008589741,"about_ca_topic_score_gemma":0.00742002,"teacher_disagreement_score":0.008589741,"about_ca_system_score_codex":0.001387292,"about_ca_system_score_gemma":0.0013589206,"threshold_uncertainty_score":0.017079473},"labels":[],"label_agreement":null},{"id":"W3212719442","doi":"10.3390/en14227499","title":"Resiliency Analysis of Hybrid Energy Systems within Interconnected Infrastructures","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Electricity; Hybrid system; Interconnection; Computer science; Risk analysis (engineering); Environmental economics; Distributed computing; Environmental science; Engineering; Business; Telecommunications","score_opus":0.007045242452068096,"score_gpt":0.22856096382590424,"score_spread":0.22151572137383616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212719442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57750344,0.0009809007,0.38944775,0.00067280885,0.00006316803,0.00020143873,0.00035191717,0.00034321452,0.030435354],"genre_scores_gemma":[0.99643505,0.00015153558,0.0018957519,0.000016798072,0.000006871991,0.000037216938,0.000042551303,0.000013634795,0.001400624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997086,0.0000987225,0.000011506677,0.000055072258,0.000054453387,0.00007151185],"domain_scores_gemma":[0.99957377,0.00019390493,0.000089876594,0.000028435512,0.000081830134,0.000032196098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058609,0.00070129003,0.00043666622,0.00093990896,0.00059564604,0.001309494,0.00052149384,0.0006242168,0.002038042],"category_scores_gemma":[0.001271152,0.00026482347,0.0008716435,0.0003992681,0.0010747854,0.000997866,0.0010028052,0.0005759312,0.00012973211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004527881,0.000015343801,0.0014953099,0.00003334549,0.000046660858,0.00015765306,0.00007347969,0.9759429,0.0024816198,0.016986633,0.00019453876,0.0025272453],"study_design_scores_gemma":[0.0000029510804,0.000030328283,0.0005592399,0.0000073094993,0.000011044985,0.000019614361,0.000063860796,0.99291575,0.00029442945,0.005872808,0.00021668126,0.000005960431],"about_ca_topic_score_codex":0.006184643,"about_ca_topic_score_gemma":0.0021951757,"teacher_disagreement_score":0.006184643,"about_ca_system_score_codex":0.0013080419,"about_ca_system_score_gemma":0.00054913753,"threshold_uncertainty_score":0.012297273},"labels":[],"label_agreement":null},{"id":"W3213072429","doi":"10.3390/en14217449","title":"Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficient Wireless Sensor Networks","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":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Wireless sensor network; Knapsack problem; Computer science; Ant colony optimization algorithms; Block (permutation group theory); Coordinate descent; Data aggregator; Sensor node; Distributed computing; Key distribution in wireless sensor networks; Real-time computing; Mathematical optimization; Computer network; Wireless; Algorithm; Wireless network; Mathematics","score_opus":0.01311572507683863,"score_gpt":0.23345611020235735,"score_spread":0.2203403851255187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213072429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07579729,0.000220607,0.9211332,0.00027510026,0.00005229018,0.000076027005,0.00003976688,0.0002095015,0.0021961979],"genre_scores_gemma":[0.86266303,0.00031067315,0.13460174,0.00009251297,0.00002824911,0.0001296905,0.00011616957,0.000029712211,0.002028128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994147,0.00013793433,0.000034041426,0.00015785077,0.00018009664,0.000075320495],"domain_scores_gemma":[0.9996414,0.00013371027,0.00007443268,0.00003707636,0.00008540662,0.000027897806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007337106,0.0004897908,0.0008260734,0.00035721457,0.0007544089,0.00070480217,0.0008624278,0.00065612735,0.00052987353],"category_scores_gemma":[0.0010469512,0.000451571,0.0004995622,0.0010902538,0.00041222145,0.0012385466,0.0008012784,0.0005543642,0.00010006514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027650018,0.0002072252,0.0026001844,0.00014059735,0.000061553896,0.0003954504,0.00018800497,0.8849624,0.018859273,0.009751241,0.0017640962,0.08079354],"study_design_scores_gemma":[0.000009015317,0.000051962455,0.00041234176,0.0000021272203,0.000008301371,0.000044443557,0.000049278206,0.9943809,0.0025538686,0.0021313885,0.0003474974,0.000008895224],"about_ca_topic_score_codex":0.0022890924,"about_ca_topic_score_gemma":0.00290583,"teacher_disagreement_score":0.0022890924,"about_ca_system_score_codex":0.00049309805,"about_ca_system_score_gemma":0.0009894948,"threshold_uncertainty_score":0.0045515895},"labels":[],"label_agreement":null},{"id":"W3213153955","doi":"10.3390/en14227653","title":"Wake Expansion and the Finite Blade Functions for Horizontal-Axis Wind Turbines","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wake; Blade element momentum theory; Mechanics; Blade element theory; Trailing edge; Vortex; Physics; Axial compressor; RADIUS; Rotor (electric); Tip-speed ratio; Angle of attack; Vorticity; Finite element method; Structural engineering; Turbine; Turbine blade; Engineering; Aerodynamics; Gas compressor","score_opus":0.008786640789481095,"score_gpt":0.19972743985554678,"score_spread":0.19094079906606568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213153955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10400198,0.0028174203,0.87943745,0.00027922352,0.00020443219,0.000020284255,0.000026687061,0.00017973126,0.013032771],"genre_scores_gemma":[0.930665,0.0022481468,0.057442285,0.00009844461,0.00013283832,0.000041517324,0.0000873237,0.00024462832,0.009039766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998305,0.000073139796,0.000005241134,0.000010618405,0.0000662231,0.000014211693],"domain_scores_gemma":[0.99946195,0.00035056367,0.00007113029,0.000035191202,0.00006528048,0.000015827889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060306414,0.00052575994,0.00024636483,0.00038535486,0.0001960353,0.00042887538,0.0003259612,0.0003695153,0.00081089017],"category_scores_gemma":[0.0021867142,0.00018001547,0.000327663,0.00023665623,0.00086378393,0.0008777601,0.0003132456,0.00074027135,0.00032095148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082695944,0.00007406965,0.0013080194,0.00019582764,0.000026955964,0.0004954626,0.00017664359,0.74075884,0.027647696,0.15386654,0.001279228,0.074087985],"study_design_scores_gemma":[0.0000025262323,0.00002974848,0.00057550485,0.000016362967,0.0000026794119,0.000093520095,0.000017186618,0.9806199,0.0021505437,0.01483271,0.001649358,0.00000996571],"about_ca_topic_score_codex":0.0010698364,"about_ca_topic_score_gemma":0.00059937104,"teacher_disagreement_score":0.0010698364,"about_ca_system_score_codex":0.00025253007,"about_ca_system_score_gemma":0.00027374882,"threshold_uncertainty_score":0.0031893253},"labels":[],"label_agreement":null},{"id":"W3213381297","doi":"10.3390/en14227620","title":"Assessing Hybrid Solar-Wind Potential for Industrial Decarbonization Strategies: Global Shift to Green Development","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"King Saud University","keywords":"Renewable energy; Environmental science; Oil refinery; Fossil fuel; Greenhouse gas; Emission intensity; Coal; Refining (metallurgy); Electricity generation; Electricity; Natural resource economics; Environmental engineering; Waste management; Engineering; Chemistry","score_opus":0.02474657739661278,"score_gpt":0.25880025014792796,"score_spread":0.23405367275131517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213381297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654069,0.0023994327,0.016178448,0.0010537753,0.000047657653,0.00010106507,0.0010063093,0.000056906167,0.013749503],"genre_scores_gemma":[0.9964038,0.0005687826,0.0023405487,0.000034839497,0.000006329285,0.000020393709,0.00026988832,0.00000598931,0.0003494933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996855,0.00014704053,0.0000123073605,0.00004405116,0.00006796171,0.00004318476],"domain_scores_gemma":[0.999491,0.00026160787,0.000073208736,0.000032385396,0.00010113622,0.000040752315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011353613,0.0005831673,0.00031543418,0.000793266,0.0001659386,0.0011197446,0.00034662202,0.0006644201,0.0012359475],"category_scores_gemma":[0.0014550741,0.00015458433,0.00059967587,0.001091372,0.00022331074,0.0013466611,0.0007210541,0.00035609948,0.00013885005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041552918,0.00026850248,0.15255973,0.0006405514,0.0007387502,0.00067613355,0.00014306474,0.7215667,0.005181778,0.014124381,0.0016852171,0.10199971],"study_design_scores_gemma":[0.00011809998,0.0011594435,0.15592664,0.0001487872,0.00047447596,0.00017864548,0.001637911,0.7999479,0.007827159,0.024322795,0.008186493,0.000071650255],"about_ca_topic_score_codex":0.0043578427,"about_ca_topic_score_gemma":0.0048082103,"teacher_disagreement_score":0.0043578427,"about_ca_system_score_codex":0.0007192461,"about_ca_system_score_gemma":0.0006281326,"threshold_uncertainty_score":0.008664966},"labels":[],"label_agreement":null},{"id":"W3213576295","doi":"10.3390/en14227656","title":"Cool Roofs in the US: The Impact of Roof Reflectivity, Insulation and Attachment Method on Annual Energy Cost","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Purdue University","keywords":"Reflective surfaces; Roof; Cold climate; Reflectivity; Environmental science; Cold winter; Thermal insulation; Architectural engineering; Civil engineering; Meteorology; Engineering; Geography; Materials science","score_opus":0.014917854120594832,"score_gpt":0.3136274416877675,"score_spread":0.2987095875671727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213576295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981877,0.000031802712,0.00039048117,0.000038445734,0.0000020142934,0.0000057009656,0.00023952422,0.000011611551,0.001092682],"genre_scores_gemma":[0.9989557,0.000043282813,0.00049896573,0.00001371452,6.1650303e-7,0.00000525747,0.00022916704,0.0000056482368,0.00024774566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99981993,0.00006192813,0.0000073088645,0.000031356933,0.000029706245,0.00004987163],"domain_scores_gemma":[0.9997638,0.00011925401,0.000028311051,0.000022663358,0.000041358053,0.000024542773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004279932,0.0004244134,0.00035153847,0.00033640952,0.00033657864,0.00082025287,0.0004184557,0.00041430368,0.0011858626],"category_scores_gemma":[0.00075679045,0.00027019694,0.0006476078,0.0006553512,0.0002938319,0.0006320875,0.00041214484,0.00037416496,0.000098336546],"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":[0.00044909382,0.00034986672,0.10330877,0.000035018897,0.00012383032,0.00020070643,0.00008202156,0.8802014,0.0036605706,0.0014384747,0.0008109625,0.009339259],"study_design_scores_gemma":[0.00013533166,0.00089221675,0.2063676,0.000025339177,0.00017673669,0.00014771214,0.0008756417,0.78173834,0.0059278137,0.0013572504,0.002292409,0.00006370226],"about_ca_topic_score_codex":0.08050763,"about_ca_topic_score_gemma":0.11795924,"teacher_disagreement_score":0.08050763,"about_ca_system_score_codex":0.0013888679,"about_ca_system_score_gemma":0.0007232099,"threshold_uncertainty_score":0.16007805},"labels":[],"label_agreement":null},{"id":"W3213741484","doi":"10.3390/en14227506","title":"Spatial Model of Optimization Applied in the Distributed Generation Photovoltaic to Adjust Voltage Levels","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Agência Nacional de Energia Elétrica","keywords":"Photovoltaic system; Grid; Voltage; Distributed generation; Computer science; Process (computing); Reliability engineering; Engineering; Electrical engineering; Renewable energy; Mathematics","score_opus":0.02297483524339995,"score_gpt":0.21871675923495953,"score_spread":0.1957419239915596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213741484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010478407,0.00013728003,0.9819032,0.00016761934,0.000030154002,0.000031669795,0.00011040875,0.00010712271,0.0070340955],"genre_scores_gemma":[0.83351827,0.0006770376,0.1482327,0.000110124965,0.000064882704,0.0003007884,0.0002902588,0.0001771236,0.016628824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996151,0.00015472226,0.000014444226,0.00008317756,0.00009315329,0.000039427792],"domain_scores_gemma":[0.9996698,0.00016214112,0.000046875917,0.000026885224,0.00007980694,0.000014503821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006604374,0.0006541082,0.0005869886,0.00053076976,0.00036029622,0.0011099217,0.0009979022,0.0006567336,0.0028482908],"category_scores_gemma":[0.001337082,0.0003771844,0.0008366988,0.0010670715,0.00073134416,0.00088316156,0.00085792935,0.00067262485,0.00038079228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005992401,0.000005100207,0.00018211557,0.000012519645,0.000007102314,0.000017446042,0.000014730238,0.985391,0.00024622006,0.011818479,0.00012944987,0.0021698663],"study_design_scores_gemma":[0.0000015613505,0.000004389251,0.000051530125,0.0000013714919,0.0000020596328,0.0000036340173,0.0000040602067,0.99711215,0.00008577332,0.0024562075,0.00027565323,0.0000015941372],"about_ca_topic_score_codex":0.010838046,"about_ca_topic_score_gemma":0.007127382,"teacher_disagreement_score":0.010838046,"about_ca_system_score_codex":0.0010885902,"about_ca_system_score_gemma":0.0009985975,"threshold_uncertainty_score":0.02154988},"labels":[],"label_agreement":null},{"id":"W3213936878","doi":"10.3390/en14217436","title":"Fault-Tolerant Cooperative Control of Large-Scale Wind Farms and Wind Farm Clusters","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Offshore wind power; Wind power; Turbine; Reliability (semiconductor); Reliability engineering; Scale (ratio); Fault (geology); Marine engineering; Computer science; Engineering; Environmental science; Power (physics); Electrical engineering; Geography","score_opus":0.004534621722440879,"score_gpt":0.19691957428165982,"score_spread":0.19238495255921895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213936878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33665454,0.0001606147,0.6589629,0.000121380624,0.000070668684,0.00006773255,0.000027163505,0.00043058867,0.0035043443],"genre_scores_gemma":[0.9969465,0.0000128927295,0.0027031938,0.0000056882645,0.0000046431087,0.000011695695,0.0000050401914,0.000001968637,0.00030839996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999734,0.00004429291,0.000013108064,0.00007775509,0.00007437571,0.000056535995],"domain_scores_gemma":[0.99947685,0.00016631254,0.00012848365,0.000052874155,0.00013157507,0.000044067256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041569563,0.0004576947,0.00033306438,0.00019631811,0.0003824423,0.00045468632,0.0006861652,0.0003192115,0.0004990406],"category_scores_gemma":[0.0008157223,0.00012222913,0.00018279608,0.0002453559,0.00047737765,0.00037847098,0.00054388033,0.00038246342,0.00006933904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022125208,0.00008614476,0.00085185934,0.000055357137,0.00003259375,0.00020082621,0.00016702576,0.92942756,0.01879802,0.003969494,0.0006264362,0.045563344],"study_design_scores_gemma":[0.000011054177,0.000091271184,0.00023020733,0.0000012860343,0.000004355388,0.000013247806,0.000016012611,0.9973889,0.0013442218,0.0007054192,0.00019136799,0.0000026036669],"about_ca_topic_score_codex":0.0039874557,"about_ca_topic_score_gemma":0.0032961345,"teacher_disagreement_score":0.0039874557,"about_ca_system_score_codex":0.00031930982,"about_ca_system_score_gemma":0.00035978464,"threshold_uncertainty_score":0.007928491},"labels":[],"label_agreement":null},{"id":"W3214643040","doi":"10.3390/en14227489","title":"Natural Convection Effect on Solidification Enhancement in a Multi-Tube Latent Heat Storage System: Effect of Tubes’ Arrangement","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Natural convection; Heat exchanger; Mechanics; Shell and tube heat exchanger; Materials science; Tube (container); Latent heat; Work (physics); Thermodynamics; Phase-change material; Buoyancy; Heat transfer; Convection; Composite material; Thermal; Physics","score_opus":0.019283204146012214,"score_gpt":0.27537370388712856,"score_spread":0.25609049974111636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214643040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99523735,0.00024019036,0.004021565,0.000016674327,0.000011094242,0.000009412491,0.000021597823,0.000056499077,0.00038544036],"genre_scores_gemma":[0.99846625,0.000056620032,0.001293893,0.000002336005,0.0000015185201,0.0000038289313,0.000009945368,0.0000041755025,0.0001613967],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998913,0.000019991412,0.000010225505,0.000022270833,0.00003497598,0.000021236676],"domain_scores_gemma":[0.999747,0.00010261623,0.00006595545,0.00002070519,0.000046232737,0.0000176062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021052867,0.00023693258,0.0002426156,0.0001708547,0.00019820404,0.00030224118,0.00024306269,0.00017888805,0.0007640517],"category_scores_gemma":[0.0004460842,0.00017167284,0.00027484406,0.00014508674,0.00028572272,0.00047371298,0.00024569838,0.0001991104,0.000115519884],"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":[0.00048811178,0.00006774612,0.003233715,0.0002369294,0.000015154541,0.00013705611,0.00011987273,0.024075678,0.9599062,0.00024251913,0.000062517334,0.011414554],"study_design_scores_gemma":[0.000020130828,0.0008366303,0.009367988,0.000011484396,0.00004207706,0.000111327725,0.00008013666,0.09672078,0.8919829,0.0000672637,0.0007399851,0.00001921302],"about_ca_topic_score_codex":0.00047837227,"about_ca_topic_score_gemma":0.0007400989,"teacher_disagreement_score":0.0007640517,"about_ca_system_score_codex":0.000194807,"about_ca_system_score_gemma":0.00017700317,"threshold_uncertainty_score":0.0025559664},"labels":[],"label_agreement":null},{"id":"W3214876848","doi":"10.3390/en14237977","title":"Xerogel-like Materials from Sustainable Sources: Properties and Electrochemical Performances","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Centre Technologique des Résidus Industriels; Cégep de l'Abitibi Témiscamingue","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Supercapacitor; Carbon fibers; Context (archaeology); Materials science; Electrochemistry; Activated carbon; Porosity; Nanotechnology; Energy storage; Chemical engineering; Electrode; Chemistry; Composite material; Organic chemistry; Composite number; Engineering; Power (physics)","score_opus":0.013307913196941523,"score_gpt":0.19534561957114913,"score_spread":0.1820377063742076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214876848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759462,0.01173394,0.0048036375,0.00016471515,0.000041116553,0.000037683094,0.00077830354,0.00016763678,0.0063267453],"genre_scores_gemma":[0.98812556,0.0026450632,0.0036305839,0.000043402346,0.000008505668,0.000020371719,0.0005605138,0.000055889654,0.004910081],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998981,0.000005276038,0.000009804604,0.000019071631,0.000046857833,0.00002095842],"domain_scores_gemma":[0.9999039,0.000018419943,0.00001940814,0.000007704784,0.000033095657,0.00001742077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014076948,0.00026377194,0.0001671345,0.00041559082,0.00011925761,0.00031962263,0.00019726738,0.00037598124,0.00103983],"category_scores_gemma":[0.00024799377,0.00014778406,0.00012171875,0.0004703812,0.00012698297,0.00046282433,0.00016770678,0.00031273416,0.0005005818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000861672,0.000036181507,0.0002563245,0.00032470262,0.000008079547,0.00015069662,0.000046438214,0.00031460787,0.9875777,0.00027143015,0.00024461385,0.010683164],"study_design_scores_gemma":[0.000002735006,0.00009545449,0.0014060095,0.000015089373,0.000007085499,0.00015564064,0.000026628904,0.00042780244,0.99419457,0.00007290474,0.0035864648,0.000009665693],"about_ca_topic_score_codex":0.0005035827,"about_ca_topic_score_gemma":0.0016915101,"teacher_disagreement_score":0.00103983,"about_ca_system_score_codex":0.00016192209,"about_ca_system_score_gemma":0.00014076424,"threshold_uncertainty_score":0.0034785867},"labels":[],"label_agreement":null},{"id":"W3214959027","doi":"10.3390/en14237925","title":"Design and Implementation of an Electric Skibus Line in North Italy","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Electrification; Work (physics); Context (archaeology); Line (geometry); Service (business); Transport engineering; Plan (archaeology); Automotive engineering; Electric energy; Diesel fuel; Public transport; Environmental economics; Environmental science; Engineering; Business; Electricity; Electrical engineering; Geography; Economics; Mechanical engineering; Marketing","score_opus":0.014362792855333421,"score_gpt":0.28545923998579237,"score_spread":0.27109644713045894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214959027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82286793,0.00015586527,0.109880224,0.00037877265,0.00010819632,0.0014086379,0.0004315328,0.002546013,0.062222917],"genre_scores_gemma":[0.95896274,0.000084703075,0.023552863,0.000039591323,0.000008205598,0.00064678414,0.0002318715,0.000076333934,0.016396876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995435,0.00015067859,0.000019708246,0.00010428077,0.00009349603,0.00008831611],"domain_scores_gemma":[0.9997613,0.000023671566,0.000030532483,0.000037634763,0.00007686868,0.00006998405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004357786,0.0004991376,0.0002914987,0.00037566214,0.00047189713,0.00085210544,0.0007550461,0.0005829964,0.0069284574],"category_scores_gemma":[0.00043296028,0.00022549824,0.00028497865,0.0001987684,0.00032759336,0.00038994144,0.00050120533,0.000247877,0.0024243272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035208943,0.0030139065,0.051281165,0.0017962084,0.0001797516,0.0054521007,0.0053509725,0.3141553,0.29999343,0.01362506,0.012161123,0.28947005],"study_design_scores_gemma":[0.0015463141,0.015089366,0.102923796,0.00030076806,0.00040272053,0.0012066468,0.0077692964,0.5168035,0.094481975,0.0027314494,0.2565258,0.00021841229],"about_ca_topic_score_codex":0.00419332,"about_ca_topic_score_gemma":0.004448048,"teacher_disagreement_score":0.0069284574,"about_ca_system_score_codex":0.00088548,"about_ca_system_score_gemma":0.0011578166,"threshold_uncertainty_score":0.023177981},"labels":[],"label_agreement":null},{"id":"W3215523787","doi":"10.3390/en14237846","title":"A Modified Multiple-Mixing-Cell Method with Sub-Cells for MMP Determinations","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Computation; Robustness (evolution); Computer science; Enhanced oil recovery; Mixing (physics); Algorithm; Biological system; Mathematical optimization; Petroleum engineering; Chemistry; Mathematics; Engineering; Physics","score_opus":0.009069583343697018,"score_gpt":0.23305443871889064,"score_spread":0.22398485537519364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215523787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004626349,0.00015762974,0.99281317,0.00006538324,0.00006687015,0.00007285373,0.000049943534,0.00034036112,0.0018074339],"genre_scores_gemma":[0.09763728,0.00031899658,0.8954715,0.00010566627,0.00003920753,0.0004867788,0.00019677076,0.00021402106,0.005529813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995189,0.00009697095,0.000029270923,0.00008694658,0.00023168625,0.00003623533],"domain_scores_gemma":[0.9992091,0.00034112885,0.00007386024,0.00012098779,0.00021391743,0.000041007333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007937533,0.00094689295,0.00082539517,0.00088273553,0.0006310016,0.00069519866,0.0021406666,0.0016354222,0.0046847076],"category_scores_gemma":[0.0022468497,0.00046076707,0.000725669,0.0007990409,0.0005237215,0.0013109478,0.0011835954,0.001618206,0.0017242276],"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":[0.00026721568,0.00027252865,0.002795477,0.00069225975,0.000068759575,0.00049521844,0.00035871347,0.43588707,0.14320882,0.0619676,0.0048201014,0.34916627],"study_design_scores_gemma":[0.000007820956,0.000023043454,0.00007557481,0.0000067719207,0.000005607538,0.00004725825,0.0000089644955,0.9845279,0.009838237,0.0015884473,0.0038545397,0.000015836946],"about_ca_topic_score_codex":0.0023753557,"about_ca_topic_score_gemma":0.002865274,"teacher_disagreement_score":0.0046847076,"about_ca_system_score_codex":0.0005591188,"about_ca_system_score_gemma":0.0012283132,"threshold_uncertainty_score":0.015671909},"labels":[],"label_agreement":null},{"id":"W3215583260","doi":"10.3390/en14237975","title":"Tailor-Made Phosphorylated Polyvinyl Alcohol/Tungsten Polyoxometalate Proton Exchange Membrane for a Bio-Electrochemical Energy Storage System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Polyoxometalates: Synthesis and Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyvinyl alcohol; Polyoxometalate; Membrane; Electrochemistry; Proton exchange membrane fuel cell; Phosphate; Materials science; Chemical engineering; Chemistry; Nuclear chemistry; Electrode; Organic chemistry; Biochemistry; Catalysis","score_opus":0.01498226140787456,"score_gpt":0.23611393590663038,"score_spread":0.22113167449875581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215583260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938763,0.0013452512,0.057048235,0.00017033819,0.00010282013,0.000062958155,0.00020218555,0.0003462649,0.001958852],"genre_scores_gemma":[0.970603,0.0006145483,0.026205353,0.00003631394,0.000013213049,0.00003436191,0.0001408501,0.000028448096,0.0023239506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993837,0.0000064848505,0.0000060773764,0.000014377093,0.000025610929,0.00000901733],"domain_scores_gemma":[0.9999583,0.000006389812,0.000011522312,0.000006022524,0.0000105188155,0.000007290299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009840915,0.00020088824,0.00014355783,0.00014409435,0.00010194451,0.00017234414,0.00027041623,0.0003046255,0.000576684],"category_scores_gemma":[0.00011205615,0.000099076366,0.0001715264,0.000107812026,0.00012765189,0.0002926267,0.00016240252,0.00027363608,0.00033666895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014701618,0.0000044108133,0.00005272328,0.000041526724,0.0000025244622,0.000047062276,0.000006808116,0.000073345764,0.99745506,0.00013039273,0.000023330198,0.002148124],"study_design_scores_gemma":[0.0000030396463,0.000057349214,0.00033292867,0.0000031253207,0.000007979645,0.00019185021,0.000008351231,0.00071456743,0.9964742,0.000035617155,0.0021671664,0.0000036943752],"about_ca_topic_score_codex":0.00011608405,"about_ca_topic_score_gemma":0.00021239852,"teacher_disagreement_score":0.000576684,"about_ca_system_score_codex":0.00011777817,"about_ca_system_score_gemma":0.0001299173,"threshold_uncertainty_score":0.0019291639},"labels":[],"label_agreement":null},{"id":"W3215637171","doi":"10.3390/en14227808","title":"Concept Design of a High-Voltage Electrostatic Sanitizer to Prevent Spread of COVID-19 Coronavirus","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric field; Airflow; Voltage; Triboelectric effect; High voltage; Electrostatics; Aerosol; Environmental science; Aerospace engineering; Materials science; Electrical engineering; Physics; Engineering; Mechanical engineering; Meteorology","score_opus":0.030369159668768332,"score_gpt":0.3129800408385351,"score_spread":0.28261088116976674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215637171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1728371,0.0018095109,0.81153756,0.00065865245,0.00030625114,0.00044577857,0.00013806282,0.0007179083,0.0115491925],"genre_scores_gemma":[0.83422387,0.0010434357,0.15679513,0.0001712382,0.00005487485,0.00041263667,0.000084988256,0.000026060541,0.0071877455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998652,0.000017523165,0.000008062305,0.00003309939,0.00006443792,0.000011610782],"domain_scores_gemma":[0.9999229,0.00001135152,0.000022172906,0.000007024363,0.000027679125,0.000008932609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023612523,0.0003812016,0.0003528057,0.00022368792,0.00025582587,0.0003949555,0.0010324375,0.000743548,0.0010076425],"category_scores_gemma":[0.00013637141,0.00023646206,0.0004732172,0.00010686769,0.00027439056,0.0004214905,0.00037987332,0.00026463746,0.00030741817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002247931,0.00014497161,0.0012524091,0.0008393735,0.00008047284,0.0005134531,0.00014275916,0.07495489,0.8495778,0.009041142,0.0014889628,0.061738987],"study_design_scores_gemma":[0.00012990825,0.0026188223,0.003113929,0.000070606315,0.00013243938,0.0012106274,0.00011001286,0.5926447,0.3672157,0.00234142,0.030342666,0.00006917374],"about_ca_topic_score_codex":0.0003049745,"about_ca_topic_score_gemma":0.0003127965,"teacher_disagreement_score":0.0010324375,"about_ca_system_score_codex":0.0002677908,"about_ca_system_score_gemma":0.00046316834,"threshold_uncertainty_score":0.0033709407},"labels":[],"label_agreement":null},{"id":"W3215770559","doi":"10.3390/en14237944","title":"Adaptive Tracking Method of Distorted Voltage Using IMM Algorithm under Grid Frequency Fluctuation Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Robustness (evolution); Algorithm; Kalman filter; Tracking (education); Identifier; Computer science; Stability (learning theory); Control theory (sociology); Grid; Mathematics; Artificial intelligence","score_opus":0.022280798125917774,"score_gpt":0.3129440668273722,"score_spread":0.2906632687014544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215770559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052740066,0.0001301547,0.99300003,0.000043622065,0.00004483576,0.000014445823,0.000012278427,0.00034293765,0.0011377163],"genre_scores_gemma":[0.68060416,0.00041946297,0.3144735,0.00007980078,0.00006729904,0.000077703924,0.00015422986,0.00009125241,0.004032607],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996412,0.000060951716,0.000031256124,0.00010199834,0.00013599252,0.00002872636],"domain_scores_gemma":[0.9996624,0.00007867568,0.000059544895,0.00005275944,0.00013168312,0.00001490961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045001498,0.0005622716,0.00066002744,0.000486162,0.00042985295,0.0007319193,0.00079984305,0.0004888931,0.0011555495],"category_scores_gemma":[0.0013206789,0.00027068733,0.00053237926,0.0004617022,0.00031786345,0.0009546435,0.0005893242,0.00070834503,0.00040040395],"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":[0.00021239891,0.00005269756,0.0026652038,0.00025243426,0.000089925925,0.00021168649,0.00029052317,0.41647243,0.019528927,0.014127708,0.002322269,0.5437737],"study_design_scores_gemma":[0.000014614354,0.00004588274,0.00030995748,0.000008135463,0.000011432048,0.000085231404,0.000015847325,0.9930335,0.0031748214,0.0014320922,0.0018579803,0.000010392335],"about_ca_topic_score_codex":0.0026764008,"about_ca_topic_score_gemma":0.0020378393,"teacher_disagreement_score":0.0026764008,"about_ca_system_score_codex":0.00032253333,"about_ca_system_score_gemma":0.0004982594,"threshold_uncertainty_score":0.0053216815},"labels":[],"label_agreement":null},{"id":"W3215806251","doi":"10.3390/en14237865","title":"Hybrid Machine Learning Approaches and a Systematic Model Selection Process for Predicting Soot Emissions in Compression Ignition Engines","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Feature selection; Artificial neural network; Black box; Machine learning; Support vector machine; Artificial intelligence; Computer science; Kriging; Model selection; Data mining; Engineering","score_opus":0.027116137827524908,"score_gpt":0.2318572688211408,"score_spread":0.2047411309936159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215806251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1277156,0.0011342725,0.8678117,0.0002106542,0.000037250928,0.00016047763,0.000108501685,0.0010137944,0.0018076563],"genre_scores_gemma":[0.8206064,0.00051052874,0.17687997,0.00007025453,0.000031032607,0.00035672783,0.0002939602,0.000054825272,0.0011963213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918276,0.0003496978,0.00006238061,0.00012232868,0.00023513968,0.000047673082],"domain_scores_gemma":[0.99896383,0.0006938019,0.00009279921,0.000046133344,0.00018710768,0.000016351672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020069336,0.001186132,0.001013319,0.0011158319,0.00050108973,0.0009409541,0.00092285435,0.0008459992,0.00047322374],"category_scores_gemma":[0.0025612533,0.0006175181,0.0010704977,0.0008425339,0.00037854948,0.00075835816,0.00072476227,0.000866985,0.00014362739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007082437,0.00007381838,0.0015463321,0.00008186644,0.00010222878,0.00007284929,0.000042273135,0.95133907,0.0017854386,0.0013495545,0.00022344071,0.043312408],"study_design_scores_gemma":[0.0000035283567,0.000029543302,0.00024091682,0.0000037182526,0.000011056383,0.0000062865697,0.00000563918,0.99871695,0.00054676045,0.0003484594,0.000082544786,0.0000046130763],"about_ca_topic_score_codex":0.00666143,"about_ca_topic_score_gemma":0.0055463263,"teacher_disagreement_score":0.00666143,"about_ca_system_score_codex":0.0005620292,"about_ca_system_score_gemma":0.0010741538,"threshold_uncertainty_score":0.013245285},"labels":[],"label_agreement":null},{"id":"W3215869507","doi":"10.3390/en14238015","title":"Variation of White Spruce Carbon Content with Age, Height, Social Classes and Silvicultural Management","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Forest ecology and management","field":"Environmental Science","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":"Université du Québec en Abitibi-Témiscamingue; Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Carbon fibers; Bioenergy; Forestry; Environmental science; Thinning; Greenhouse gas; Forest management; Horticulture; Animal science; Mathematics; Pulp and paper industry; Agroforestry; Geography; Biofuel; Ecology; Biology; Engineering","score_opus":0.009612062122578978,"score_gpt":0.19026506607115853,"score_spread":0.18065300394857955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215869507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787545,0.00024682225,0.00036607677,0.0000067204414,0.000004400049,0.000018722147,0.0003725718,0.000008253176,0.0011010965],"genre_scores_gemma":[0.99822503,0.000058759215,0.00036626108,0.000015681942,0.00000238638,0.000013725807,0.00060106866,0.000005962273,0.0007111585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995028,0.000081412254,0.000040034338,0.00015297822,0.0001666814,0.0000560922],"domain_scores_gemma":[0.9991959,0.00016749951,0.00018340061,0.00010047292,0.00024010066,0.00011255106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072146894,0.0003046978,0.0002629659,0.0008135639,0.000435291,0.00042000329,0.0003272503,0.0001613363,0.0008461024],"category_scores_gemma":[0.0005325231,0.00011080268,0.00033314756,0.0006028262,0.00043561,0.0002084774,0.00018726778,0.0001746837,0.00017892609],"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":[0.00042339362,0.0000995555,0.9246618,0.00003962923,0.00022433531,0.00013350195,0.00030336998,0.00014498329,0.062126957,0.000051433668,0.00013004153,0.011660945],"study_design_scores_gemma":[8.192577e-7,0.00005905205,0.9988751,0.0000010881208,0.000009738074,0.00002508049,0.000053554304,0.000049052323,0.00079566427,0.00000818087,0.00012080578,0.0000017677312],"about_ca_topic_score_codex":0.028444728,"about_ca_topic_score_gemma":0.1119376,"teacher_disagreement_score":0.028444728,"about_ca_system_score_codex":0.00053708337,"about_ca_system_score_gemma":0.0003922947,"threshold_uncertainty_score":0.05655837},"labels":[],"label_agreement":null},{"id":"W3217073898","doi":"10.3390/en14237995","title":"Sparse Signal Reconstruction on Fixed and Adaptive Supervised Dictionary Learning for Transient Stability Assessment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete cosine transform; Discrete wavelet transform; Singular value decomposition; Computer science; Mean squared error; Algorithm; Artificial intelligence; Stability (learning theory); Pattern recognition (psychology); Mathematics; Wavelet transform; Wavelet; Machine learning; Statistics; Image (mathematics)","score_opus":0.021778692425554493,"score_gpt":0.22220830969216768,"score_spread":0.20042961726661318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217073898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009279424,0.00011760675,0.98956853,0.00004838868,0.00001929779,0.000032751377,0.00003932906,0.0003407757,0.0005538921],"genre_scores_gemma":[0.3851122,0.00036737832,0.61091405,0.00013770034,0.00007788331,0.00023793847,0.0006108933,0.00009821075,0.002443799],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949825,0.00014058746,0.000037448946,0.000114089664,0.00016912991,0.000040580417],"domain_scores_gemma":[0.99886936,0.0004259828,0.00011074097,0.00014971125,0.00040897544,0.000035201378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703963,0.0006031555,0.00080396567,0.00054990937,0.00021124489,0.0005549052,0.00090135616,0.00064598717,0.0013219002],"category_scores_gemma":[0.0024345464,0.0002652452,0.0005261051,0.00072625116,0.00044380527,0.0008545161,0.00077666773,0.0008009124,0.0006591301],"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":[0.00022152095,0.00013203485,0.0016962496,0.00017047467,0.000083117906,0.00009642655,0.00009852908,0.43065456,0.01845041,0.0062535973,0.0027395436,0.53940344],"study_design_scores_gemma":[0.000005060337,0.0000406288,0.00014461667,0.000003944649,0.000004206083,0.000016895949,0.000007078632,0.9973686,0.0015455236,0.00050421717,0.00035458655,0.0000045757597],"about_ca_topic_score_codex":0.0028745488,"about_ca_topic_score_gemma":0.0028306246,"teacher_disagreement_score":0.0028745488,"about_ca_system_score_codex":0.00030453433,"about_ca_system_score_gemma":0.0007470367,"threshold_uncertainty_score":0.005715668},"labels":[],"label_agreement":null},{"id":"W3217449169","doi":"10.3390/en14227812","title":"Archimedes Screw Design: An Analytical Model for Rapid Estimation of Archimedes Screw Geometry","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power station; Geometry; Power (physics); Mechanical engineering; Mathematics; Engineering; Physics","score_opus":0.05052148167075848,"score_gpt":0.2864542904905282,"score_spread":0.2359328088197697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217449169","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005232286,0.00006733725,0.99234843,0.00003106197,0.000012936657,0.00003965312,0.00005548591,0.0004707021,0.0017421561],"genre_scores_gemma":[0.34798983,0.0005827709,0.6405736,0.00004980415,0.00002598028,0.00050593837,0.00026370227,0.00028922118,0.009719136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996283,0.00008141332,0.000019534426,0.000071407914,0.00017817681,0.000021209291],"domain_scores_gemma":[0.9993957,0.00029156957,0.00009407533,0.00005262478,0.0001564768,0.000009558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006256588,0.0007407477,0.0005106737,0.0005734138,0.00031794497,0.0006806594,0.0011513272,0.0009383373,0.0026559934],"category_scores_gemma":[0.0018001102,0.0006260462,0.0006849366,0.0005278403,0.00044119233,0.0009067774,0.00041805216,0.0006870263,0.0011423555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055557317,0.00003186733,0.0009955303,0.00013304471,0.000014823488,0.00008536423,0.00009754564,0.9053916,0.018540496,0.010897874,0.0011252991,0.06263095],"study_design_scores_gemma":[0.000003580162,0.000020600603,0.00010738941,0.000005977277,0.000004448506,0.000027334134,0.0000056464605,0.994293,0.00279836,0.00083303335,0.0018933162,0.0000072852],"about_ca_topic_score_codex":0.0031831507,"about_ca_topic_score_gemma":0.0039465856,"teacher_disagreement_score":0.0031831507,"about_ca_system_score_codex":0.00076473237,"about_ca_system_score_gemma":0.0010793853,"threshold_uncertainty_score":0.008885145},"labels":[],"label_agreement":null},{"id":"W3217567134","doi":"10.3390/en14227800","title":"Performance-Based Navigation Flight Path Analysis Using Fast-Time Simulation","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Air traffic control; Inefficiency; Fuel efficiency; Air traffic management; Area navigation; Aviation; Computer science; Transport engineering; Air navigation; Aeronautics; Simulation; Automotive engineering; Engineering; Global Positioning System; Aerospace engineering; Telecommunications","score_opus":0.00738278602452121,"score_gpt":0.20151572967991294,"score_spread":0.19413294365539172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217567134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31993446,0.0003106541,0.6565886,0.00020263984,0.00008350783,0.0002444662,0.00089603,0.0011099407,0.02062968],"genre_scores_gemma":[0.9420282,0.00019448758,0.054694213,0.000017626619,0.0000105393865,0.00017389518,0.00045601247,0.000077533536,0.0023473345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998228,0.00006487234,0.000008870866,0.000022145285,0.00004767138,0.00003375272],"domain_scores_gemma":[0.99902666,0.0006692748,0.00007698777,0.000041522682,0.0001561092,0.000029430597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052913086,0.00063670403,0.00056051224,0.00096367864,0.00046258196,0.00065933994,0.0006125847,0.0007419413,0.004192014],"category_scores_gemma":[0.0016077843,0.00031681967,0.0008631525,0.000726973,0.00029472355,0.00047771493,0.0004295476,0.00052637747,0.0003207435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000787757,0.000009161807,0.00027496854,0.000007497007,0.0000042756064,0.0000065069366,0.0000050372905,0.99791235,0.0000857192,0.0003801145,0.000042498352,0.0012639364],"study_design_scores_gemma":[0.0000016131664,0.0000044745657,0.000063012216,0.0000010076028,0.0000011971468,0.0000017354349,0.0000026746436,0.9997476,0.000040682233,0.00007469703,0.000060315168,0.0000010272291],"about_ca_topic_score_codex":0.04770498,"about_ca_topic_score_gemma":0.022061344,"teacher_disagreement_score":0.04770498,"about_ca_system_score_codex":0.00075629767,"about_ca_system_score_gemma":0.001351783,"threshold_uncertainty_score":0.09485465},"labels":[],"label_agreement":null},{"id":"W3217766461","doi":"10.3390/en14237921","title":"A Unified Controller for Multi-State Operation of the Bi-Directional Buck–Boost DC-DC Converter","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Controller (irrigation); Computer science; Buck–boost converter; Voltage; Power (physics); Linearization; Boost converter; Engineering; Nonlinear system; Control (management); Electrical engineering; Physics","score_opus":0.017484357595755215,"score_gpt":0.23435021541695278,"score_spread":0.21686585782119755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217766461","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":[0.024928203,0.0006901963,0.95959395,0.00013062738,0.00027785733,0.00017297875,0.000056212688,0.0021285154,0.01202152],"genre_scores_gemma":[0.9350337,0.00029927978,0.059711542,0.00011664334,0.00008449885,0.00023387912,0.00007943818,0.000047029527,0.0043939725],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996637,0.000032279855,0.00002494851,0.000079944024,0.00016818698,0.00003100495],"domain_scores_gemma":[0.9998379,0.000022289956,0.000020574045,0.000021878976,0.00008685166,0.000010402622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003254197,0.000533847,0.00055803085,0.00046569956,0.0005508059,0.00097338844,0.0011459766,0.00047556634,0.0017973525],"category_scores_gemma":[0.0003345665,0.00018767087,0.00036586286,0.0002885041,0.00031935336,0.0005271743,0.0005209302,0.0008241597,0.0005336455],"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":[0.00045920373,0.0004464248,0.0010475597,0.0007404433,0.00016580264,0.00073536,0.00059754105,0.17536947,0.25478882,0.0475206,0.010296983,0.50783175],"study_design_scores_gemma":[0.00009223042,0.0003698157,0.00058756385,0.000049492966,0.000057627876,0.0003465331,0.00003202947,0.93926716,0.0424187,0.0022309963,0.01450479,0.000043100365],"about_ca_topic_score_codex":0.001512522,"about_ca_topic_score_gemma":0.0016485323,"teacher_disagreement_score":0.0017973525,"about_ca_system_score_codex":0.00038350635,"about_ca_system_score_gemma":0.00053633744,"threshold_uncertainty_score":0.0060127378},"labels":[],"label_agreement":null},{"id":"W4200036967","doi":"10.3390/en14238031","title":"Nonlinear Vibration Analysis of Curved Piezoelectric-Layered Nanotube Resonator","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Piezoelectricity; Vibration; Acoustics; Materials science; Resonator; Bimorph; Nonlinear system; Curvature; Galerkin method; PMUT; Multiple-scale analysis; Mechanics; Physics; Geometry; Optoelectronics; Mathematics","score_opus":0.009677725253891567,"score_gpt":0.2347955875089466,"score_spread":0.22511786225505503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200036967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8511175,0.00056109874,0.14318416,0.00018020079,0.000027900342,0.000023699566,0.000048981758,0.00011310302,0.0047433297],"genre_scores_gemma":[0.9907357,0.00012835677,0.007760999,0.000017494092,0.0000038591897,0.000011330617,0.000019604453,0.000011024846,0.0013115384],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990916,0.00001737674,0.0000025812558,0.00002224355,0.000037734855,0.000010746406],"domain_scores_gemma":[0.9999181,0.000030280104,0.000017701315,0.000008726384,0.00001869956,0.000006420304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013162062,0.00021903006,0.00016417826,0.00011515442,0.00011020763,0.00012320328,0.00022849382,0.00041013965,0.00070940197],"category_scores_gemma":[0.00020154285,0.000090792266,0.0002142231,0.00007755548,0.00030764155,0.0002620104,0.00020393403,0.0001786109,0.00018269641],"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":[0.00008921368,0.000034354223,0.0012612055,0.00010061682,0.000032622753,0.0005362212,0.0002168185,0.10038323,0.88155663,0.007414012,0.00021928288,0.008155805],"study_design_scores_gemma":[0.000005062961,0.000079935286,0.001785014,0.0000053731796,0.000004825972,0.00012253488,0.000048728183,0.9728047,0.02369728,0.0010162211,0.0004113353,0.000018988758],"about_ca_topic_score_codex":0.00048763535,"about_ca_topic_score_gemma":0.00038753173,"teacher_disagreement_score":0.00070940197,"about_ca_system_score_codex":0.0001557079,"about_ca_system_score_gemma":0.00012951136,"threshold_uncertainty_score":0.0023732185},"labels":[],"label_agreement":null},{"id":"W4200061738","doi":"10.3390/en14248310","title":"A Systematic Study to Assess Displacement Performance of a Naturally-Derived Surfactant in Flow Porous Systems","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","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":"Memorial University of Newfoundland","funders":"Amirkabir University of Technology","keywords":"Micromodel; Pulmonary surfactant; Enhanced oil recovery; Surface tension; Contact angle; Porous medium; Chemical engineering; Wetting; Oil in place; Residual oil; Chemistry; Drop (telecommunication); Critical micelle concentration; Salinity; Materials science; Chromatography; Petroleum engineering; Micelle; Porosity; Petroleum; Composite material; Aqueous solution; Geology; Thermodynamics; Organic chemistry","score_opus":0.011380580634099963,"score_gpt":0.2369905144740445,"score_spread":0.22560993383994454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200061738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698845,0.0064315847,0.021982748,0.000081266415,0.000039248953,0.000101086094,0.00014845251,0.00010895326,0.0012221653],"genre_scores_gemma":[0.98527235,0.0032050803,0.010555392,0.00003133457,0.000012286813,0.000050022198,0.00015245036,0.000014681121,0.0007063001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976677,0.00003707404,0.000021329744,0.00004785523,0.00009593622,0.000031091025],"domain_scores_gemma":[0.9996997,0.00007706374,0.0000712944,0.000031383315,0.00009998225,0.000020578522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046249645,0.00032453856,0.00030473122,0.00028895115,0.00020202731,0.00033098,0.00027588473,0.00031300858,0.0004482966],"category_scores_gemma":[0.00069119263,0.000084676576,0.00020253457,0.00022611293,0.00025390668,0.0006132848,0.00027192532,0.00030851626,0.0001370148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031440726,0.000044274726,0.00048820805,0.00021993429,0.000010531987,0.000044733864,0.000025141764,0.00028543378,0.99226564,0.0002213939,0.000033890938,0.0063294037],"study_design_scores_gemma":[0.0000038747876,0.0005229791,0.0010182624,0.000011769202,0.00001870339,0.00009811706,0.000025563235,0.0031223404,0.99326396,0.000044746852,0.0018636755,0.000005927721],"about_ca_topic_score_codex":0.000606525,"about_ca_topic_score_gemma":0.0007848159,"teacher_disagreement_score":0.000606525,"about_ca_system_score_codex":0.00027128574,"about_ca_system_score_gemma":0.00037978063,"threshold_uncertainty_score":0.0024459958},"labels":[],"label_agreement":null},{"id":"W4200077136","doi":"10.3390/en14248595","title":"Robust Enough? Exploring Temperature-Constrained Energy Transition Pathways under Climate Uncertainty","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change Policy and Economics","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":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Climate change; Robust optimization; Climate model; Energy transition; Computer science; Carbon capture and storage (timeline); Climate change mitigation; Greenhouse gas; Environmental science; Fossil fuel; Mathematical optimization; Engineering; Ecology; Mathematics","score_opus":0.16478382679418072,"score_gpt":0.21738642503672753,"score_spread":0.052602598242546816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200077136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6047841,0.0010558674,0.3777255,0.0022597325,0.000046351204,0.000069721355,0.00072641554,0.00018976338,0.013142583],"genre_scores_gemma":[0.99334705,0.00021127753,0.0056416513,0.000054502183,0.000010504723,0.000027496051,0.00010880998,0.00002897188,0.0005697822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957687,0.00019348806,0.000014631559,0.00008655558,0.000040042003,0.00008837981],"domain_scores_gemma":[0.99685127,0.002225107,0.0005569026,0.00013534397,0.00012353132,0.00010788423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001686717,0.00063243066,0.0007610136,0.0005914354,0.00039407995,0.0018097605,0.0006156417,0.001171481,0.0024116072],"category_scores_gemma":[0.0075883004,0.000600363,0.0011036205,0.0004705404,0.0012130181,0.002446306,0.0012026018,0.0014025203,0.000110604116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025107478,0.000014304391,0.00079759985,0.00002236524,0.000038424827,0.00005331026,0.000019922014,0.9762274,0.00026406167,0.021418175,0.00009732043,0.0010220046],"study_design_scores_gemma":[0.000011711319,0.000025299321,0.00071114354,0.000011130729,0.000020758798,0.000013385605,0.000053062155,0.942794,0.00024529584,0.05582269,0.00027591508,0.000015603115],"about_ca_topic_score_codex":0.0084547885,"about_ca_topic_score_gemma":0.002960652,"teacher_disagreement_score":0.0084547885,"about_ca_system_score_codex":0.0010753153,"about_ca_system_score_gemma":0.00089383905,"threshold_uncertainty_score":0.016811192},"labels":[],"label_agreement":null},{"id":"W4200119465","doi":"10.3390/en14248430","title":"A Typology of Attitudes towards the E-Bike against the Background of the Traditional Bicycle and the Car","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Typology; Gadget; Electric cars; Quarter (Canadian coin); Scope (computer science); Marketing; Advertising; Business; Psychology; Transport engineering; Applied psychology; Engineering; Computer science; Sociology; Geography","score_opus":0.021638863652003605,"score_gpt":0.24157596763455663,"score_spread":0.21993710398255303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200119465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974585,0.00014301839,0.0036011306,0.00027142686,0.000022463062,0.00008315334,0.00007815952,0.000011148225,0.021204477],"genre_scores_gemma":[0.9969446,0.0001538493,0.0013235416,0.00006482849,0.0000064833603,0.000058957932,0.000070796355,0.000004597693,0.0013723533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983854,0.00067972334,0.00015040356,0.00014726541,0.0004848697,0.00015228667],"domain_scores_gemma":[0.9966288,0.0013014631,0.00083399436,0.00025992747,0.00066530734,0.00031042565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016586431,0.00025621546,0.0001906006,0.0028443157,0.0010026857,0.0020998288,0.00042887492,0.0006238828,0.002985424],"category_scores_gemma":[0.0038390518,0.0001132402,0.00028738732,0.0022957276,0.002270406,0.001289345,0.0013060401,0.0005943797,0.0004399803],"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":[0.00026121872,0.00045035186,0.6943032,0.00055734604,0.00011312443,0.0010291118,0.15278019,0.00054855505,0.011267024,0.033339113,0.0014598721,0.103890926],"study_design_scores_gemma":[0.000023156026,0.00039487774,0.68860763,0.00035506007,0.000037938175,0.0017222447,0.2661485,0.0023511013,0.0013227242,0.015094158,0.023860814,0.00008176613],"about_ca_topic_score_codex":0.0018737081,"about_ca_topic_score_gemma":0.0019922184,"teacher_disagreement_score":0.002985424,"about_ca_system_score_codex":0.0007073514,"about_ca_system_score_gemma":0.0005195591,"threshold_uncertainty_score":0.009987235},"labels":[],"label_agreement":null},{"id":"W4200161548","doi":"10.3390/en14248365","title":"Co-Optimizing Battery Storage for Energy Arbitrage and Frequency Regulation in Real-Time Markets Using Deep Reinforcement Learning","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Brock University","funders":"Brock University; National Science Foundation","keywords":"Markov decision process; Flexibility (engineering); Arbitrage; Reinforcement learning; Computer science; Mathematical optimization; Electricity; Battery (electricity); Energy storage; Electricity market; Stability (learning theory); Revenue; Renewable energy; Markov process; Power (physics); Engineering; Economics; Artificial intelligence; Mathematics; Machine learning","score_opus":0.00628536237606657,"score_gpt":0.2049458746535307,"score_spread":0.19866051227746412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200161548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20422,0.0013169113,0.78592217,0.0009656051,0.00015124964,0.00007390204,0.00009637053,0.0007083782,0.0065454044],"genre_scores_gemma":[0.984327,0.00008895697,0.014281159,0.0001175071,0.000019037767,0.000036441845,0.000039634808,0.000021929143,0.0010684221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997061,0.000083911065,0.000013726025,0.000062593834,0.00005430483,0.00007936415],"domain_scores_gemma":[0.99899906,0.00063450076,0.00012376219,0.000037799837,0.00012435754,0.00008059337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008890057,0.0008266376,0.0011508925,0.0002859181,0.00027996078,0.0007423388,0.0009098228,0.0010480853,0.0014882394],"category_scores_gemma":[0.0023433664,0.00043451283,0.00044060755,0.00030059056,0.00076154893,0.00092836935,0.00081304583,0.0013764014,0.00014925988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039281207,0.000041729374,0.0004951395,0.000020152891,0.000018966823,0.00002936171,0.000014100672,0.9898595,0.00027892014,0.0014862354,0.0003161119,0.0074004275],"study_design_scores_gemma":[0.0000033106758,0.0000066581892,0.000021934537,9.769907e-7,0.0000014375387,0.0000015168455,0.0000013600637,0.99952376,0.00003762765,0.00037464555,0.000026104284,7.4777864e-7],"about_ca_topic_score_codex":0.010122621,"about_ca_topic_score_gemma":0.009372048,"teacher_disagreement_score":0.010122621,"about_ca_system_score_codex":0.00097637967,"about_ca_system_score_gemma":0.0017358499,"threshold_uncertainty_score":0.020127416},"labels":[],"label_agreement":null},{"id":"W4200198417","doi":"10.3390/en15010086","title":"Policy Insights to Accelerate Cleaner Steam-Assisted Gravity Drainage Operations","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":7,"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 Calgary","funders":"Canada First Research Excellence Fund","keywords":"Steam-assisted gravity drainage; Oil sands; Greenhouse gas; Software deployment; Environmental science; Environmental impact assessment; Environmental policy; Asphalt; Petroleum engineering; Engineering; Natural resource economics; Waste management; Environmental planning; Economics; Geology","score_opus":0.021927497510846123,"score_gpt":0.30660832986157865,"score_spread":0.28468083235073255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200198417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5438336,0.012634287,0.061392654,0.19604085,0.0013402151,0.001024957,0.005105329,0.0014471665,0.17718095],"genre_scores_gemma":[0.95624113,0.0081419265,0.020906158,0.0049903304,0.00010776075,0.00011945798,0.00076301565,0.000048839494,0.008681418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984295,0.0004340173,0.000045276305,0.000078614175,0.00045169672,0.0005609522],"domain_scores_gemma":[0.99847454,0.00050205056,0.00016557093,0.000060500723,0.0005874071,0.00020998604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019253653,0.0005777086,0.00024367319,0.0013175135,0.00071362633,0.002812344,0.0008163421,0.0018668176,0.0056546056],"category_scores_gemma":[0.003759069,0.00018897268,0.000618319,0.0014202826,0.0011516814,0.0017182073,0.0010608177,0.0011974649,0.00040942832],"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":[0.00078690896,0.0012453583,0.0674667,0.0033338303,0.000337749,0.0018059077,0.001568866,0.2859068,0.03287045,0.27183956,0.083613224,0.24922468],"study_design_scores_gemma":[0.00036084684,0.000895165,0.15979007,0.0018781422,0.00042440122,0.00042312298,0.017519189,0.13027787,0.034488443,0.12340373,0.5302303,0.00030873605],"about_ca_topic_score_codex":0.2963174,"about_ca_topic_score_gemma":0.41980907,"teacher_disagreement_score":0.2963174,"about_ca_system_score_codex":0.010066072,"about_ca_system_score_gemma":0.036177468,"threshold_uncertainty_score":0.58918524},"labels":[],"label_agreement":null},{"id":"W4200224219","doi":"10.3390/en14248415","title":"The Contributions of Biomass Supply for Bioenergy in the Post-COVID-19 Recovery","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","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":"Natural Resources Canada","funders":"International Energy Agency","keywords":"Bioenergy; Biomass (ecology); Renewable energy; Environmental economics; Futures studies; Natural resource economics; Business; Investment (military); Environmental science; Delphi method; Energy supply; Environmental resource management; Economics; Engineering; Energy (signal processing); Ecology; Computer science","score_opus":0.012927096375367498,"score_gpt":0.24460891498666457,"score_spread":0.23168181861129708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200224219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438485,0.0012531887,0.0020481905,0.0066206525,0.000077137935,0.00012434156,0.00010950648,0.000008623914,0.04590985],"genre_scores_gemma":[0.99638945,0.00081730017,0.00059625634,0.00032035483,0.000011824366,0.000025144946,0.00004608811,0.0000034245181,0.0017901651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968003,0.0014610327,0.000100170975,0.00014899335,0.00061588583,0.0008735818],"domain_scores_gemma":[0.9939466,0.0031315966,0.00097095553,0.00016305827,0.0011040879,0.0006836299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052695456,0.00026711583,0.00014754385,0.001040885,0.0016425577,0.0029408128,0.00043470407,0.0010991949,0.0054945354],"category_scores_gemma":[0.0076565365,0.00016172351,0.0002405339,0.0011173487,0.0017458592,0.0025776045,0.0035456999,0.0011380591,0.00035929983],"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":[0.0008438226,0.0006865472,0.47220302,0.0024589133,0.00018430069,0.003812515,0.07995298,0.007561576,0.014233148,0.08513575,0.005447321,0.32748014],"study_design_scores_gemma":[0.000022519933,0.0011628238,0.32913536,0.0021899191,0.000093013914,0.0008376112,0.4817857,0.003856061,0.0062842835,0.021223,0.15329267,0.00011700866],"about_ca_topic_score_codex":0.0035487602,"about_ca_topic_score_gemma":0.007824997,"teacher_disagreement_score":0.0054945354,"about_ca_system_score_codex":0.0037634983,"about_ca_system_score_gemma":0.0041992078,"threshold_uncertainty_score":0.02786833},"labels":[],"label_agreement":null},{"id":"W4200227965","doi":"10.3390/en15010063","title":"Application of Porous Materials for CO2 Reutilization: A Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Reuse; Materials science; Commercialization; Endothermic process; Coating; Porosity; Nanotechnology; Catalysis; Methane; Process engineering; Chemical engineering; Waste management; Adsorption; Chemistry; Engineering; Organic chemistry","score_opus":0.027575422125003538,"score_gpt":0.30137505705967066,"score_spread":0.27379963493466714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200227965","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":[0.00033343342,0.99758625,0.00023306946,0.00011824527,0.00012896566,0.0000072136545,0.000025913727,0.00000863587,0.0015582691],"genre_scores_gemma":[0.0012782391,0.99785197,0.00023394359,0.000057039608,0.000062631,0.000006341458,0.000023626088,0.0000013460012,0.00048485052],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998299,0.00001805009,0.000021122263,0.000033880344,0.000076174896,0.00002083664],"domain_scores_gemma":[0.9997445,0.000124326,0.000048720205,0.000008177807,0.000059657843,0.000014508391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037981302,0.0008821608,0.000927704,0.0027161941,0.00028509687,0.00096817926,0.000601887,0.0008467928,0.0028775763],"category_scores_gemma":[0.00051169714,0.00036084178,0.00060405186,0.0028580544,0.0003314227,0.0013858785,0.00046428497,0.0009326937,0.0012011261],"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":[0.00005560137,0.00014141564,0.00024418544,0.054791935,0.00013188856,0.0003269894,0.000106256266,0.0009258344,0.008605744,0.008462384,0.01979137,0.90641636],"study_design_scores_gemma":[0.000006355595,0.000117202195,0.0005760752,0.0035088707,0.00011863894,0.00090068084,0.000058596037,0.00016002203,0.0022841152,0.0013775522,0.99087244,0.000019499394],"about_ca_topic_score_codex":0.0010463977,"about_ca_topic_score_gemma":0.0016561277,"teacher_disagreement_score":0.0028775763,"about_ca_system_score_codex":0.00042098257,"about_ca_system_score_gemma":0.0010055188,"threshold_uncertainty_score":0.009626389},"labels":[],"label_agreement":null},{"id":"W4200233353","doi":"10.3390/en15010107","title":"Smart Cities and Urban Management—A Section of Energies (ISSN 1996-1073)","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Section (typography); Smart city; Energy management; Urban management; Efficient energy use; Regional science; Environmental planning; Energy (signal processing); Urban planning; Architectural engineering; Transport engineering; Geography; Business; Computer science; Civil engineering; Engineering; Computer security; Internet of Things; Advertising; Physics","score_opus":0.004992383615320679,"score_gpt":0.16818948160234068,"score_spread":0.16319709798702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200233353","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":[0.0013541669,0.26706836,0.003938964,0.061494693,0.07692832,0.00009695466,0.0007018609,0.00025364963,0.5881631],"genre_scores_gemma":[0.009385416,0.24894798,0.0014330096,0.005515505,0.022691475,0.000073894495,0.00058560586,0.00021669187,0.7111504],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993338,0.00007032765,0.00006517986,0.000107484855,0.0003654577,0.0000576629],"domain_scores_gemma":[0.9983839,0.00058954937,0.00015376975,0.00010064809,0.00058032706,0.00019184356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009358141,0.0012263486,0.00073750905,0.0020579041,0.00084501266,0.00521115,0.0004949114,0.0022797664,0.11240547],"category_scores_gemma":[0.001757336,0.0004271525,0.0003322069,0.004960569,0.0011148114,0.0040059476,0.0011573354,0.0028933494,0.04375869],"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":[0.000034065906,0.00007151802,0.00041157744,0.00051766424,0.000013506164,0.00006485624,0.00011959598,0.00044762218,0.0004983401,0.028829958,0.73368233,0.23530902],"study_design_scores_gemma":[0.00000285349,0.000022942797,0.000997375,0.00027831495,0.000004508055,0.00007022464,0.000071686845,0.0000938889,0.00010580209,0.0034827183,0.99486345,0.000006243553],"about_ca_topic_score_codex":0.0033492644,"about_ca_topic_score_gemma":0.008160265,"teacher_disagreement_score":0.11240547,"about_ca_system_score_codex":0.0017934734,"about_ca_system_score_gemma":0.0017759968,"threshold_uncertainty_score":0.37603378},"labels":[],"label_agreement":null},{"id":"W4200288851","doi":"10.3390/en14248517","title":"A Novel Mean Field Game-Based Strategy for Charging Electric Vehicles in Solar Powered Parking Lots","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Polytechnique Montréal","keywords":"Nash equilibrium; State of charge; Electric vehicle; Computer science; Population; Parking lot; Bayesian game; Battery (electricity); Automotive engineering; Simulation; Game theory; Mathematical optimization; Engineering; Sequential game; Mathematics; Mathematical economics; Physics","score_opus":0.011305964262979942,"score_gpt":0.21669983865086137,"score_spread":0.20539387438788143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200288851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033232283,0.00013603247,0.95232445,0.0004797189,0.000077804754,0.0001420439,0.00008981598,0.00013170153,0.013386207],"genre_scores_gemma":[0.8971445,0.00016924732,0.094659604,0.00030067356,0.000051340234,0.00030007283,0.000061419385,0.00003251281,0.007280546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953556,0.00018915137,0.00001721027,0.000074935444,0.00010470626,0.000078487654],"domain_scores_gemma":[0.9995284,0.00024310795,0.00006217544,0.000020400983,0.000062403014,0.00008350773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006492148,0.00077113893,0.0007746373,0.00047183776,0.00045246808,0.0010432453,0.001383767,0.0013695733,0.0029007695],"category_scores_gemma":[0.0016725385,0.00027420593,0.000695657,0.00041974353,0.0010657508,0.0009461038,0.0010123695,0.00080669834,0.0003095917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011631515,0.00012250546,0.0007999276,0.000103903505,0.00007071684,0.00031647843,0.00019904044,0.72633684,0.0048331167,0.24675849,0.0027188356,0.017623786],"study_design_scores_gemma":[0.000030359066,0.00008527885,0.00008332434,0.00000787396,0.0000083712985,0.000059327183,0.000022437907,0.9664578,0.0002748643,0.03171082,0.001245784,0.000013774902],"about_ca_topic_score_codex":0.0035126046,"about_ca_topic_score_gemma":0.0033017583,"teacher_disagreement_score":0.0035126046,"about_ca_system_score_codex":0.0012837186,"about_ca_system_score_gemma":0.0013992831,"threshold_uncertainty_score":0.009704053},"labels":[],"label_agreement":null},{"id":"W4200291254","doi":"10.3390/en14248600","title":"Blockchain-Enabled Energy Demand Side Management Cap and Trade Model","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Rimouski","funders":"","keywords":"Environmental economics; Demand response; Renewable energy; Digitization; Demand management; Business; Energy consumption; Energy management; Economics; Computer science; Telecommunications; Energy (signal processing); Engineering; Electricity","score_opus":0.008506622660414957,"score_gpt":0.20348141051093233,"score_spread":0.19497478785051736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200291254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10427237,0.0011881662,0.79528743,0.0021696687,0.00029613334,0.0003064876,0.0018189669,0.00069815794,0.093962654],"genre_scores_gemma":[0.9703226,0.00048839365,0.013022215,0.000095696036,0.00003362808,0.00019082609,0.00024389902,0.000039002967,0.01556374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996408,0.00009630535,0.000019091362,0.00007304438,0.00008853116,0.000082160856],"domain_scores_gemma":[0.99949515,0.00021868692,0.00006931762,0.000038919985,0.00012316529,0.00005469739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005034817,0.00057447376,0.00074687804,0.00038130465,0.0007880571,0.001767702,0.0014048364,0.001477388,0.0129677],"category_scores_gemma":[0.001158606,0.0002759584,0.00061353884,0.0005935868,0.00095364486,0.0016739586,0.0013696495,0.0011836902,0.0009017057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010502013,0.000038229275,0.00037290508,0.00007946076,0.000017675056,0.00024613368,0.00007932373,0.9200574,0.0015084391,0.06997628,0.0013990111,0.006120141],"study_design_scores_gemma":[0.000018685088,0.000023983297,0.000056251127,0.000008211789,0.000007758677,0.000022066128,0.000014491856,0.98384905,0.00025901318,0.0144065935,0.0013276679,0.0000062576223],"about_ca_topic_score_codex":0.007518156,"about_ca_topic_score_gemma":0.004896594,"teacher_disagreement_score":0.0129677,"about_ca_system_score_codex":0.001297581,"about_ca_system_score_gemma":0.0015534682,"threshold_uncertainty_score":0.043381274},"labels":[],"label_agreement":null},{"id":"W4200292712","doi":"10.3390/en14248501","title":"Optimal Energy Management of a Campus Microgrid Considering Financial and Economic Analysis with Demand Response Strategies","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Microgrid; Demand response; Environmental economics; Energy management; Finance; Business; Demand management; Financial management; Energy (signal processing); Economics; Engineering; Macroeconomics; Electricity; Control (management); Electrical engineering; Management; Physics","score_opus":0.0037648444852269925,"score_gpt":0.18155883171790094,"score_spread":0.17779398723267395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200292712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5120059,0.0007810504,0.43385077,0.001431156,0.000097182485,0.00021427197,0.00049438764,0.0002964591,0.050828792],"genre_scores_gemma":[0.9896814,0.0001538984,0.006853325,0.000024479747,0.000009405993,0.000049013426,0.00005049266,0.00001566889,0.0031622688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997485,0.00009935863,0.000009093124,0.000044380315,0.000037743295,0.000060874547],"domain_scores_gemma":[0.9997508,0.00010116231,0.00004242854,0.000009748991,0.0000652256,0.000030726354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053120754,0.0007835717,0.0006895028,0.00045392892,0.00049133087,0.0017705989,0.0006365515,0.0010870182,0.003128002],"category_scores_gemma":[0.0010848121,0.0004140504,0.0006155467,0.00049000495,0.00048277725,0.0009098913,0.00089117425,0.0007293838,0.00018973803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027994542,0.000017547196,0.0004423215,0.000022316937,0.0000136247,0.0001021648,0.000018338147,0.99264246,0.00041021188,0.0037173852,0.00024564523,0.0023401072],"study_design_scores_gemma":[0.0000038027924,0.000017194794,0.00015312873,0.000002614543,0.00000706791,0.000008937836,0.000038957045,0.99837303,0.00011023969,0.0010872618,0.00019419004,0.0000036060571],"about_ca_topic_score_codex":0.012581193,"about_ca_topic_score_gemma":0.009216879,"teacher_disagreement_score":0.012581193,"about_ca_system_score_codex":0.0013618928,"about_ca_system_score_gemma":0.0012408934,"threshold_uncertainty_score":0.02501595},"labels":[],"label_agreement":null},{"id":"W4200295153","doi":"10.3390/en14238148","title":"Technical Assessment of Hybrid HVDC Circuit Breaker Components under M-HVDC Faults","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Circuit breaker; High-voltage direct current; Engineering; Fault (geology); Grid; Electrical engineering; Reliability engineering; Direct current; Voltage","score_opus":0.01822938847626695,"score_gpt":0.24739406257676122,"score_spread":0.22916467410049426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200295153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822986,0.00021359416,0.013322807,0.000029776738,0.000008686218,0.00006768909,0.00026950304,0.00023050257,0.0035588692],"genre_scores_gemma":[0.9988366,0.000055099365,0.0006342711,0.000003505381,0.0000015434249,0.000009404013,0.00007594559,0.000007558096,0.00037596546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997304,0.00006171548,0.000013419889,0.000051373827,0.0001079707,0.00003500826],"domain_scores_gemma":[0.99948174,0.00016295693,0.00011392709,0.000059374524,0.00014613468,0.000035895344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039634013,0.0004339766,0.00032168365,0.00058989716,0.00026957964,0.0006753918,0.0004994246,0.0004892379,0.001367734],"category_scores_gemma":[0.00077367644,0.00015265578,0.00023813857,0.00038449123,0.00030376008,0.00063911435,0.0002979414,0.00021293078,0.00031397425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023877893,0.00034521866,0.05250575,0.00081518234,0.00014093555,0.0015647993,0.0004235001,0.6752406,0.18505746,0.0018382589,0.0012575873,0.07842304],"study_design_scores_gemma":[0.00011406589,0.005692248,0.10807121,0.00010370517,0.00019348088,0.0010106773,0.0009915034,0.728603,0.14914297,0.0013035652,0.0047043036,0.00006932309],"about_ca_topic_score_codex":0.001588365,"about_ca_topic_score_gemma":0.001414249,"teacher_disagreement_score":0.001588365,"about_ca_system_score_codex":0.0006039764,"about_ca_system_score_gemma":0.00019742583,"threshold_uncertainty_score":0.0045755506},"labels":[],"label_agreement":null},{"id":"W4200298087","doi":"10.3390/en15010113","title":"Quality Improvement and Cost Evaluation of Pellet Fuel Produced from Pruned Fruit Tree Branches","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Pellets; Pellet; Raw material; Heat of combustion; Renewable energy; Environmental science; Pulp and paper industry; Biomass (ecology); Combustion; Waste management; Pelletizing; Renewable fuels; Process engineering; Biofuel; Agricultural engineering; Materials science; Engineering; Chemistry; Agronomy; Composite material","score_opus":0.02698873237626886,"score_gpt":0.2599559571823729,"score_spread":0.23296722480610405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200298087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940317,0.0013807265,0.003100536,0.000027561908,0.000016154376,0.000029233364,0.00030003328,0.000021157432,0.0010928635],"genre_scores_gemma":[0.99280953,0.00095353473,0.004812088,0.000013839819,0.000005491084,0.000020874657,0.00046483052,0.000032280277,0.00088757573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996339,0.000029651756,0.000021559339,0.000045270313,0.00023892833,0.000030603216],"domain_scores_gemma":[0.99977404,0.000030348268,0.000046571906,0.000018292621,0.00011749259,0.000013166561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038558638,0.00039818897,0.0002786089,0.0007891843,0.00020907617,0.00038114857,0.00024480562,0.0002602909,0.0008732957],"category_scores_gemma":[0.0004472922,0.00012390914,0.0004745439,0.0007390822,0.00015241229,0.0005054737,0.00023667,0.00032266742,0.00016939185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006784633,0.000114497125,0.010555673,0.0003820666,0.00007501482,0.00025328784,0.000046024754,0.0044783745,0.9509988,0.00032628424,0.00022348393,0.031867947],"study_design_scores_gemma":[0.000021087968,0.00079818664,0.03664604,0.000035151592,0.0001749012,0.00015606289,0.00010759988,0.010936367,0.94844174,0.00012043802,0.0025369439,0.000025403879],"about_ca_topic_score_codex":0.0016927539,"about_ca_topic_score_gemma":0.0048865485,"teacher_disagreement_score":0.0016927539,"about_ca_system_score_codex":0.00043114563,"about_ca_system_score_gemma":0.00015537551,"threshold_uncertainty_score":0.0033658147},"labels":[],"label_agreement":null},{"id":"W4200314722","doi":"10.3390/en15010167","title":"Pre-Breakdown and Breakdown Behavior of Synthetic and Natural Ester Liquids under AC Stress","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"","keywords":"Curvature; Mineral oil; Mechanics; Electric field; Voltage; Breakdown voltage; Materials science; Electrical breakdown; Streamer discharge; Thermal; Dielectric strength; Transformer oil; RADIUS; Composite material; Transformer; Dielectric; Electrical engineering; Thermodynamics; Physics; Optoelectronics; Engineering; Metallurgy","score_opus":0.0044908901635178685,"score_gpt":0.2052047373019201,"score_spread":0.20071384713840223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200314722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930595,0.0029155144,0.0028455534,0.000042240576,0.000028793978,0.000015226589,0.00021969962,0.000040864434,0.00083256897],"genre_scores_gemma":[0.99656844,0.001303297,0.0010843396,0.000020418738,0.000009454986,0.000010481617,0.00018396137,0.000014150825,0.0008053752],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975985,0.000024782392,0.000020943273,0.000035565692,0.00011764599,0.000041155577],"domain_scores_gemma":[0.9995654,0.00010932982,0.000092511524,0.000025487076,0.00017246346,0.00003486868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026557493,0.00026755422,0.00023413962,0.00043616368,0.0001366277,0.00026915126,0.00017658899,0.00029331804,0.0011600107],"category_scores_gemma":[0.0008206582,0.00008715457,0.0002148232,0.00035548978,0.00024823743,0.00048774923,0.00022257163,0.00035662096,0.0002534643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024660814,0.000020616644,0.0017803183,0.0002125384,0.00000994372,0.00017442196,0.00011470519,0.00050101907,0.9859497,0.00015391129,0.000085795924,0.010750347],"study_design_scores_gemma":[0.000003270782,0.0005723867,0.006323315,0.000014605712,0.0000110467245,0.000334964,0.00019498255,0.001757931,0.98897785,0.000085161584,0.0017142511,0.000010186342],"about_ca_topic_score_codex":0.0004548769,"about_ca_topic_score_gemma":0.00054892927,"teacher_disagreement_score":0.0011600107,"about_ca_system_score_codex":0.00022313494,"about_ca_system_score_gemma":0.00012613434,"threshold_uncertainty_score":0.0038805604},"labels":[],"label_agreement":null},{"id":"W4200374229","doi":"10.3390/en14238175","title":"Research on Dynamic Modeling of KF Algorithm for Detecting Distorted AC Signal","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Kalman filter; Algorithm; SIGNAL (programming language); Harmonic; Computer science; Grid; Control theory (sociology); Sampling (signal processing); Noise (video); Filter (signal processing); Phase angle (astronomy); Mathematics; Artificial intelligence; Physics; Computer vision; Acoustics","score_opus":0.08153425531718206,"score_gpt":0.34126982511474796,"score_spread":0.2597355697975659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200374229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038341102,0.00085765816,0.99335045,0.000090074485,0.000056889774,0.000019183688,0.000017584614,0.00024613738,0.0015279993],"genre_scores_gemma":[0.7747707,0.0066934302,0.21073875,0.00019244675,0.000326603,0.00022990396,0.00039870382,0.00017472132,0.006474821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880767,0.00018228371,0.00010267598,0.00041037268,0.00041726665,0.00007988128],"domain_scores_gemma":[0.99909854,0.00030247684,0.000104865496,0.00008936629,0.00038024544,0.00002454184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009395656,0.0011587075,0.0010283882,0.0009768151,0.00068199413,0.0013873396,0.0012238894,0.0010530966,0.0015192125],"category_scores_gemma":[0.00330831,0.0004941049,0.0008805421,0.000994531,0.0008568317,0.0034039,0.0006581942,0.0013458284,0.0007062918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016462413,0.00006992703,0.0037936054,0.00048075413,0.00014091257,0.00015199128,0.00031894704,0.5971044,0.015546585,0.038223382,0.0022114445,0.34179342],"study_design_scores_gemma":[0.000011132347,0.00005900035,0.00049187784,0.000021275036,0.000026117928,0.00010414544,0.000021124235,0.99054396,0.002889598,0.0035892932,0.0022101894,0.00003238155],"about_ca_topic_score_codex":0.011064936,"about_ca_topic_score_gemma":0.0032376817,"teacher_disagreement_score":0.011064936,"about_ca_system_score_codex":0.0009592354,"about_ca_system_score_gemma":0.0012380524,"threshold_uncertainty_score":0.022001088},"labels":[],"label_agreement":null},{"id":"W4200438533","doi":"10.3390/en14238189","title":"The Impact of Government Subsidies on Single-Channel Recycling Based on Recycling Propaganda","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Subsidy; Government (linguistics); Revenue; Unit (ring theory); Business; Channel (broadcasting); Government revenue; Environmental economics; Economics; Public economics; Engineering; Finance; Market economy; Telecommunications","score_opus":0.018041524309973724,"score_gpt":0.23021083830739683,"score_spread":0.21216931399742311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200438533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93325,0.0007680354,0.030740414,0.0012276999,0.00008900989,0.00010465706,0.0001112788,0.00007679566,0.033632115],"genre_scores_gemma":[0.9974706,0.00019553321,0.00070832466,0.00004491974,0.0000048841803,0.000015700309,0.0000074276254,0.000004279428,0.0015483926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99784565,0.000935176,0.000035762427,0.00016190748,0.00029297167,0.0007284992],"domain_scores_gemma":[0.9962735,0.0022492395,0.0006280568,0.0002255829,0.00042897204,0.00019470473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018623716,0.00065267563,0.00080524944,0.00078765885,0.00087849394,0.0018676274,0.00089105923,0.0012230589,0.00418685],"category_scores_gemma":[0.0063874978,0.00026195918,0.0011362626,0.00053453667,0.0021001836,0.0023483695,0.0014712169,0.001056462,0.00015385875],"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":[0.00115775,0.0007294926,0.021589996,0.00046851256,0.0002641586,0.0014210205,0.00056365225,0.5858042,0.00842022,0.33627734,0.0026687114,0.040634967],"study_design_scores_gemma":[0.0003406375,0.0009479887,0.02113401,0.00014071353,0.0006904731,0.00041718112,0.0023317896,0.81927335,0.005179351,0.14389297,0.0054963026,0.00015519075],"about_ca_topic_score_codex":0.01688989,"about_ca_topic_score_gemma":0.012435204,"teacher_disagreement_score":0.01688989,"about_ca_system_score_codex":0.0040905303,"about_ca_system_score_gemma":0.003420163,"threshold_uncertainty_score":0.033583164},"labels":[],"label_agreement":null},{"id":"W4200442198","doi":"10.3390/en15010037","title":"Energy Recovering Using Regenerative Braking in Diesel–Electric Passenger Trains: Economical and Technical Analysis of Fuel Savings and GHG Emission Reductions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Cegep de Sept Iles","funders":"","keywords":"Train; Regenerative brake; Automotive engineering; Diesel fuel; Brake; Fuel efficiency; Brake specific fuel consumption; Greenhouse gas; Powertrain; Engineering; Energy consumption; Efficient energy use; Computer science; Electrical engineering","score_opus":0.010234848293535591,"score_gpt":0.2150868719984478,"score_spread":0.2048520237049122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200442198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8226508,0.0016073581,0.14166145,0.0002770929,0.00003729721,0.00017114471,0.0006205842,0.0001972281,0.032777105],"genre_scores_gemma":[0.99162525,0.00051133864,0.004874504,0.00000897524,0.0000043012446,0.000028923729,0.00014404824,0.00001865573,0.0027840547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99982196,0.0000319483,0.000005234421,0.000018055696,0.00009676069,0.00002605988],"domain_scores_gemma":[0.9998915,0.000048143193,0.00001614979,0.000012310789,0.000028638515,0.0000032978685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033780385,0.0005424682,0.00042746394,0.0007573741,0.00022503773,0.0006110351,0.00046892598,0.00035761783,0.002509782],"category_scores_gemma":[0.0005191386,0.00016767801,0.00052497827,0.0006725009,0.00032489366,0.000780037,0.00028866038,0.00023160291,0.00024229266],"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":[0.00025193946,0.000100565565,0.0026621316,0.00029428955,0.00002913386,0.0001578131,0.000037758367,0.9185726,0.025087612,0.0065844953,0.0003517563,0.04586984],"study_design_scores_gemma":[0.000018756227,0.00024014567,0.0077631646,0.000025224032,0.00005451395,0.00006703654,0.000102341044,0.96696657,0.020197213,0.0020897025,0.0024536215,0.00002183514],"about_ca_topic_score_codex":0.008216005,"about_ca_topic_score_gemma":0.0104509285,"teacher_disagreement_score":0.008216005,"about_ca_system_score_codex":0.0010076981,"about_ca_system_score_gemma":0.00059914053,"threshold_uncertainty_score":0.016336322},"labels":[],"label_agreement":null},{"id":"W4200444856","doi":"10.3390/en14248447","title":"A Detailed Testing Procedure of Numerical Differential Protection Relay for EHV Auto Transformer","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Relay; Protective relay; Transformer; Tripping; Reliability engineering; Retrofitting; Digital protective relay; Circuit breaker; Differential protection; Power-system protection; Electric power system; Engineering; Software; Computer science; Electrical engineering; Voltage; Power (physics)","score_opus":0.016175485847864265,"score_gpt":0.21846733249110561,"score_spread":0.20229184664324135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200444856","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":[0.11937541,0.00094966753,0.8263964,0.0005997303,0.00050385506,0.0034835527,0.0016901488,0.010088168,0.036913093],"genre_scores_gemma":[0.66848713,0.0008284465,0.3083542,0.00032132558,0.000073623945,0.001428474,0.001477076,0.0004473534,0.018582415],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985073,0.00022280164,0.0001554159,0.00028705888,0.000742801,0.00008461896],"domain_scores_gemma":[0.9987212,0.0002841729,0.00011280979,0.0003658952,0.00047272144,0.000043036624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009615614,0.0008457832,0.0004759829,0.0010105526,0.0007236352,0.0008177957,0.0012379698,0.0010634982,0.010300646],"category_scores_gemma":[0.0025027227,0.00036260526,0.00039637391,0.0004225959,0.0005722612,0.0011658496,0.0007738995,0.00078779133,0.0033692487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007160474,0.00044471843,0.0047058817,0.001379928,0.000029904386,0.002363591,0.0017449122,0.033002328,0.616058,0.017988285,0.015438002,0.30612835],"study_design_scores_gemma":[0.00020136542,0.0042377077,0.013497946,0.00031114853,0.00008684545,0.0053394246,0.0008562908,0.08977055,0.73175454,0.010018804,0.14361668,0.00030866885],"about_ca_topic_score_codex":0.0009867868,"about_ca_topic_score_gemma":0.0011589476,"teacher_disagreement_score":0.010300646,"about_ca_system_score_codex":0.00039010914,"about_ca_system_score_gemma":0.0006923371,"threshold_uncertainty_score":0.034459054},"labels":[],"label_agreement":null},{"id":"W4200540082","doi":"10.3390/en15010058","title":"Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"King Saud University","keywords":"Fuzzy logic; Fuzzy number; Fuzzy set; Fuzzy set operations; Computer science; Defuzzification; Operations research; Signed distance function; Membership function; Type-2 fuzzy sets and systems; Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.25748342406631736,"score_gpt":0.38243774262664504,"score_spread":0.12495431856032768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200540082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59855264,0.0019548142,0.28218588,0.0045729266,0.00019407681,0.00036712256,0.0003557544,0.000056962137,0.11175984],"genre_scores_gemma":[0.97501266,0.0004498238,0.022880964,0.000055189535,0.000021406318,0.000042533356,0.000037588285,0.000002506054,0.0014973814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891436,0.00047878516,0.00005320261,0.00010079112,0.00034176692,0.00011114633],"domain_scores_gemma":[0.99786913,0.0013583809,0.0002839061,0.00004697135,0.0003573223,0.000084187006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020660914,0.0003735096,0.00031724706,0.0014929425,0.0008727475,0.0030745587,0.0005643702,0.0010096384,0.0019908112],"category_scores_gemma":[0.0046393834,0.0001666005,0.0006420561,0.0010215387,0.000984777,0.001713302,0.0006843256,0.0006968636,0.00011671294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002787877,0.0002607188,0.023790546,0.00069833285,0.00017630808,0.002463527,0.002708588,0.44179377,0.009174228,0.4400705,0.0032442883,0.075340316],"study_design_scores_gemma":[0.000012950698,0.00023379395,0.010213673,0.00024392287,0.000057082554,0.0004856952,0.0075890357,0.8051629,0.0023425452,0.16654259,0.007028326,0.00008752053],"about_ca_topic_score_codex":0.004894494,"about_ca_topic_score_gemma":0.00704811,"teacher_disagreement_score":0.004894494,"about_ca_system_score_codex":0.0021448946,"about_ca_system_score_gemma":0.0013405228,"threshold_uncertainty_score":0.015562296},"labels":[],"label_agreement":null},{"id":"W4200540894","doi":"10.3390/en14248560","title":"Adaptive Smooth Variable Structure Filter Strategy for State Estimation of Electric Vehicle Batteries","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of health; Internal resistance; Control theory (sociology); Battery (electricity); Noise (video); State of charge; Filter (signal processing); Engineering; State vector; State variable; Computer science; Automotive engineering; Electronic engineering; Power (physics); Electrical engineering","score_opus":0.014862309053860072,"score_gpt":0.250420161278801,"score_spread":0.23555785222494094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200540894","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019657187,0.00020969784,0.97891474,0.00006218058,0.000033202632,0.000018867479,0.000016154116,0.00025907022,0.0008289211],"genre_scores_gemma":[0.8958016,0.00036493546,0.10017902,0.00010038625,0.000048426817,0.000117525604,0.00012471604,0.000039051007,0.00322435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.000050363393,0.000015461403,0.00005412001,0.00007118122,0.000026216616],"domain_scores_gemma":[0.9995981,0.00020783658,0.000051643026,0.0000191348,0.00011496724,0.000008331146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053951563,0.00047947388,0.00050949,0.0003173835,0.000248196,0.00054396404,0.00048738695,0.00059299386,0.0010877583],"category_scores_gemma":[0.0014009025,0.00023215299,0.00042280622,0.00024929715,0.0003427016,0.000556824,0.00031649784,0.0006111757,0.00025625626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002969641,0.00007028476,0.0011501544,0.00017151498,0.000081721926,0.00009881208,0.00019101717,0.73025316,0.030093882,0.0073925965,0.0010679539,0.22913186],"study_design_scores_gemma":[0.000010098999,0.00005114623,0.00024571692,0.000006404205,0.000007329011,0.0000088308025,0.000006183105,0.9969392,0.0018001561,0.0005140288,0.0004046712,0.0000062908625],"about_ca_topic_score_codex":0.007075789,"about_ca_topic_score_gemma":0.004856226,"teacher_disagreement_score":0.007075789,"about_ca_system_score_codex":0.0004193088,"about_ca_system_score_gemma":0.0005465194,"threshold_uncertainty_score":0.0140692},"labels":[],"label_agreement":null},{"id":"W4200557291","doi":"10.3390/en14248388","title":"Efficiency Enhancement of Switched Reluctance Generator Employing Optimized Control Associated with Tracking Technique","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Division of Graduate Education; Universidade Federal de Goiás; Fundação de Amparo à Pesquisa do Estado de Goiás; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Switched reluctance motor; Generator (circuit theory); Computer science; Electricity generation; Electricity; Magnetic reluctance; Wind power; Automotive engineering; Electric generator; Grid; Voltage; Control theory (sociology); Power (physics); Control (management); Control engineering; Engineering; Electrical engineering; Rotor (electric)","score_opus":0.007693444733358139,"score_gpt":0.2008452037146035,"score_spread":0.19315175898124534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200557291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40271452,0.0005823269,0.582849,0.00008640968,0.00004780979,0.0000962992,0.000033652825,0.000719929,0.012870076],"genre_scores_gemma":[0.97390616,0.00014967792,0.023668068,0.000009760692,0.000007810207,0.000018507688,0.000028466073,0.000034149387,0.002177481],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986374,0.00003566388,0.000007867378,0.00002511767,0.00005576219,0.0000118621],"domain_scores_gemma":[0.999845,0.000053654792,0.000035803412,0.000019705787,0.00004107677,0.0000047307917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022900767,0.0003081917,0.00024063255,0.00022128997,0.00007927294,0.00027769266,0.00026575124,0.00022770131,0.0007877376],"category_scores_gemma":[0.00027311454,0.00009909904,0.00020200922,0.00016014585,0.000174864,0.00032202792,0.00010221297,0.00014252967,0.00017637982],"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":[0.00084855413,0.00020897732,0.0018083954,0.0005071744,0.000089685236,0.0002760251,0.00020235276,0.07396192,0.7466042,0.011225569,0.00062752055,0.16363963],"study_design_scores_gemma":[0.00011294434,0.0024337224,0.0063954536,0.000033202123,0.000095221214,0.00045723424,0.000045027555,0.587035,0.39021847,0.0018461492,0.01128833,0.000039272683],"about_ca_topic_score_codex":0.00017854842,"about_ca_topic_score_gemma":0.00021551951,"teacher_disagreement_score":0.0007877376,"about_ca_system_score_codex":0.00011482722,"about_ca_system_score_gemma":0.00009122445,"threshold_uncertainty_score":0.0026352406},"labels":[],"label_agreement":null},{"id":"W4200566016","doi":"10.3390/en14238046","title":"On the Relationship between Oil and Exchange Rates of Oil-Exporting and Oil-Importing Countries: From the Great Recession Period to the COVID-19 Era","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":101,"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":"Ministry of Science and Higher Education of the Russian Federation","keywords":"China; Pandemic; Coronavirus disease 2019 (COVID-19); Recession; Economics; Development economics; Geography; Business; Economy; Macroeconomics","score_opus":0.07198973023286634,"score_gpt":0.28131736299925275,"score_spread":0.2093276327663864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200566016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901265,0.0014464927,0.0050380873,0.0010843622,0.000019747851,0.0000107522965,0.0005887023,0.000019139783,0.0016662093],"genre_scores_gemma":[0.99624264,0.0012333351,0.0009077671,0.000069684305,0.00002635893,0.000009720547,0.0008727622,0.0000104418,0.0006273376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997774,0.00007929294,0.000014959184,0.00005504533,0.000019239285,0.000054078402],"domain_scores_gemma":[0.9956383,0.0027846734,0.0010606414,0.00012845093,0.00020179918,0.000186244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017944982,0.0004618581,0.00041022841,0.0010011628,0.00025012452,0.0009918181,0.00041846267,0.00067595945,0.0017776603],"category_scores_gemma":[0.0069914865,0.00033172045,0.0006836675,0.0013099755,0.0005365704,0.001123618,0.00088889775,0.0013211577,0.00023851328],"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":[0.00041411718,0.0001246185,0.81243,0.00014956316,0.0004889175,0.0010564436,0.00038428567,0.1568083,0.0009865024,0.009227924,0.0014517762,0.01647757],"study_design_scores_gemma":[0.00004878487,0.00030975635,0.4852197,0.00014699182,0.0003250001,0.0003197354,0.0011122472,0.50154704,0.0007570137,0.0068465206,0.003290113,0.0000770289],"about_ca_topic_score_codex":0.022284975,"about_ca_topic_score_gemma":0.019853953,"teacher_disagreement_score":0.022284975,"about_ca_system_score_codex":0.00044295788,"about_ca_system_score_gemma":0.000498577,"threshold_uncertainty_score":0.04431057},"labels":[],"label_agreement":null},{"id":"W4200607764","doi":"10.3390/en14248219","title":"Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"","keywords":"Transmitter; Wireless; Wavefront; Wireless network; Computer science; Radio wave; Radio propagation; Telecommunications; Wireless sensor network; Electronic engineering; Engineering; Channel (broadcasting); Computer network; Physics","score_opus":0.048937758539634404,"score_gpt":0.2815527612720732,"score_spread":0.2326150027324388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200607764","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":[0.0062521663,0.96476614,0.010020218,0.0005463632,0.0003048218,0.000037725833,0.000125692,0.00009104494,0.01785587],"genre_scores_gemma":[0.032536365,0.95153964,0.008398929,0.000311438,0.00025260975,0.00005011942,0.00022615197,0.000030366946,0.006654337],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973994,0.00003001597,0.000028208422,0.000054589404,0.00011898976,0.00002821407],"domain_scores_gemma":[0.9996985,0.00015610458,0.000042286836,0.000018965467,0.000070703354,0.000013483177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035187392,0.0007561838,0.0006952875,0.002417053,0.0003185825,0.001297122,0.0004963079,0.001035036,0.003452004],"category_scores_gemma":[0.0005115004,0.00041312427,0.00063385715,0.0022837992,0.00028755725,0.0014717844,0.00053924776,0.0007610977,0.0012449203],"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":[0.000061012128,0.00012207995,0.00093773357,0.013892688,0.00006549355,0.0003318512,0.000251996,0.0028101655,0.020247065,0.02312729,0.011687151,0.9264655],"study_design_scores_gemma":[0.000007694217,0.000295197,0.0015215878,0.0025207973,0.00011670297,0.0017364721,0.00036688038,0.003324224,0.011206568,0.006439891,0.9723998,0.000064191074],"about_ca_topic_score_codex":0.0005457675,"about_ca_topic_score_gemma":0.00069148914,"teacher_disagreement_score":0.003452004,"about_ca_system_score_codex":0.00033039897,"about_ca_system_score_gemma":0.0004819179,"threshold_uncertainty_score":0.011548102},"labels":[],"label_agreement":null},{"id":"W4200620050","doi":"10.3390/en15010047","title":"Potential of Forest Biomass Resources for Renewable Energy Production in the Czech Republic","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Renewable energy; European union; Context (archaeology); Production (economics); Climate change; Environmental resource management; Natural resource economics; Biomass (ecology); Environmental science; Energy security; Czech; Business; Environmental protection; Forestry; Geography; Economics; Engineering; Ecology","score_opus":0.008590871892088214,"score_gpt":0.19974790787079919,"score_spread":0.19115703597871098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200620050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91876304,0.00651809,0.009957106,0.00041678036,0.00003907871,0.00008274644,0.0027419135,0.00012457848,0.061356645],"genre_scores_gemma":[0.9966718,0.0007824838,0.0010621916,0.000014442353,0.0000026283299,0.000011990224,0.00032826848,0.000012627647,0.0011134761],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995128,0.000055183536,0.000041633117,0.00007086855,0.00020222274,0.000117410935],"domain_scores_gemma":[0.99978834,0.000039137485,0.000051565297,0.000026485357,0.00006674261,0.000027683374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058163604,0.00024714143,0.0002271408,0.0020762268,0.0003970206,0.0024179607,0.0003114096,0.00019398904,0.0015762368],"category_scores_gemma":[0.000527628,0.00017224047,0.00058548775,0.0018696783,0.0004266595,0.0010383046,0.0010072744,0.00027469,0.0002851534],"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":[0.0017717459,0.00022026183,0.24050775,0.0025967236,0.0008171897,0.0032429253,0.00086161104,0.25605062,0.112116754,0.110340886,0.005284651,0.26618883],"study_design_scores_gemma":[0.00012141839,0.0005966224,0.6243341,0.0011565965,0.00052191503,0.0020157562,0.0050677657,0.07323422,0.068670854,0.039020114,0.18491139,0.0003492499],"about_ca_topic_score_codex":0.011442441,"about_ca_topic_score_gemma":0.016483845,"teacher_disagreement_score":0.011442441,"about_ca_system_score_codex":0.0014177887,"about_ca_system_score_gemma":0.0018830559,"threshold_uncertainty_score":0.022751689},"labels":[],"label_agreement":null},{"id":"W4205352353","doi":"10.3390/en15010235","title":"Design and Implementation of an Intelligent Blade Pitch Control System and Stability Analysis for a Small Darrieus Vertical-Axis Wind Turbine","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Overshoot (microwave communication); Pitch control; Pitch angle; Blade pitch; Wind power; Rotor (electric); PID controller; Engineering; Turbine; Aerodynamics; Computer science; Control engineering; Aerospace engineering; Mechanical engineering; Control (management); Artificial intelligence; Temperature control","score_opus":0.02198515348359992,"score_gpt":0.2572469972453054,"score_spread":0.2352618437617055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205352353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08388769,0.00019996494,0.9103488,0.00011750177,0.00008542983,0.00024004148,0.00004563137,0.0009139713,0.0041611004],"genre_scores_gemma":[0.8966409,0.00009991062,0.10075201,0.00003519066,0.000019945244,0.00016167863,0.000057994588,0.000019436242,0.0022129882],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998752,0.000015990052,0.000008574552,0.000038781545,0.000051608644,0.000009870406],"domain_scores_gemma":[0.9998493,0.000033103726,0.000027105398,0.000017993174,0.00006085131,0.000011623604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026385192,0.00036784826,0.00029426586,0.00016179292,0.00030275193,0.0003503307,0.0005242329,0.00039847227,0.0013826789],"category_scores_gemma":[0.00025430013,0.00018776575,0.0002535332,0.00008541466,0.00024637705,0.00028620937,0.00020136614,0.0003266375,0.00028042693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032611616,0.00017008178,0.0026804218,0.0005143071,0.00006369241,0.0005995291,0.00021174156,0.35157004,0.44016412,0.0062419283,0.0012039896,0.19625409],"study_design_scores_gemma":[0.000045771125,0.0005139298,0.0016507388,0.00001501514,0.000022839286,0.00013072188,0.000017714765,0.96701974,0.026886273,0.00039449675,0.003288768,0.000013998279],"about_ca_topic_score_codex":0.0014451685,"about_ca_topic_score_gemma":0.0012833532,"teacher_disagreement_score":0.0014451685,"about_ca_system_score_codex":0.00023562102,"about_ca_system_score_gemma":0.0004685471,"threshold_uncertainty_score":0.0046254992},"labels":[],"label_agreement":null},{"id":"W4205371229","doi":"10.3390/en15010369","title":"Improving Energy Efficiency by Utilizing Wetted Cellulose Pads in Passive Cooling Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Airflow; Cellulose; Materials science; Humidity; Environmental science; Air velocity; Porosity; Composite material; Meteorology; Mechanics; Mechanical engineering; Chemical engineering; Engineering","score_opus":0.0042823587611387475,"score_gpt":0.16858508716222997,"score_spread":0.16430272840109122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205371229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718108,0.00047690532,0.026678825,0.000019111154,0.00003607333,0.000042394004,0.00006843478,0.00011269566,0.00075470365],"genre_scores_gemma":[0.9713435,0.00037170007,0.027282031,0.000021650627,0.000013210514,0.000045079436,0.00006745722,0.00002104174,0.0008342596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998336,0.000034090885,0.000014241967,0.000033956938,0.000055744775,0.00002838394],"domain_scores_gemma":[0.99978167,0.000066224726,0.000067338544,0.000025779414,0.000045077908,0.000013930074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024619035,0.00044572674,0.00031009683,0.00026941442,0.00010136696,0.00032502998,0.0003603313,0.00019487593,0.0006795144],"category_scores_gemma":[0.00034730425,0.00016032065,0.0002504827,0.00032251276,0.00015523321,0.00049180764,0.00018564869,0.0002028732,0.00015510345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016321338,0.0000851153,0.00044975462,0.00012551773,0.000011812498,0.00004563839,0.000016084572,0.0022080739,0.98839605,0.00008817263,0.000029846044,0.008380763],"study_design_scores_gemma":[0.000013336013,0.00056668115,0.0022542286,0.0000051290126,0.000018111983,0.00004496726,0.000008488672,0.0049128598,0.9914669,0.000026015176,0.0006767505,0.0000065401487],"about_ca_topic_score_codex":0.00023029273,"about_ca_topic_score_gemma":0.00043115614,"teacher_disagreement_score":0.0006795144,"about_ca_system_score_codex":0.00011618904,"about_ca_system_score_gemma":0.00013314195,"threshold_uncertainty_score":0.002273202},"labels":[],"label_agreement":null},{"id":"W4205522919","doi":"10.3390/en15020503","title":"Quasi-Analytical Calculation of Frequency-Dependent Resistance of Rectangular Conductors Considering the Edge Effect","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical conductor; Conductor; Skin effect; Busbar; Current density; Finite element method; Boundary value problem; Mathematical analysis; Mathematics; Geometry; Electrical engineering; Physics; Engineering; Structural engineering","score_opus":0.009186360182900416,"score_gpt":0.2226479086219662,"score_spread":0.21346154843906578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205522919","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029772554,0.0006200279,0.9580985,0.000074122,0.000080465885,0.00003505572,0.000055512908,0.0006041797,0.010659698],"genre_scores_gemma":[0.79318476,0.0013881733,0.19484872,0.0000988536,0.00008072259,0.00012301684,0.000117188414,0.00025444798,0.009904059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982435,0.000035235502,0.000006916837,0.00003346865,0.00007962419,0.000020469319],"domain_scores_gemma":[0.99964416,0.00013487262,0.000039605275,0.000074147225,0.00009721118,0.000010048776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002656623,0.0003913407,0.00036426418,0.00042941843,0.00021434507,0.0004789458,0.00080836396,0.00058486476,0.0015298066],"category_scores_gemma":[0.0010074707,0.0002738783,0.00050799473,0.00026117536,0.00045732007,0.0010335954,0.00029211605,0.00038946015,0.00076674385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083393694,0.00007786428,0.0012812753,0.00059291127,0.000055586406,0.0009993706,0.00051012606,0.6685311,0.15354945,0.097199194,0.0028773323,0.07424242],"study_design_scores_gemma":[0.0000044828244,0.000027099011,0.00021846606,0.000017311704,0.000010851794,0.0001650434,0.000032283417,0.9868492,0.006093819,0.0033320691,0.003238632,0.000010844396],"about_ca_topic_score_codex":0.0009350357,"about_ca_topic_score_gemma":0.0008122509,"teacher_disagreement_score":0.0015298066,"about_ca_system_score_codex":0.00027261843,"about_ca_system_score_gemma":0.00036877012,"threshold_uncertainty_score":0.0051177144},"labels":[],"label_agreement":null},{"id":"W4205533957","doi":"10.3390/en15030673","title":"Forest Products and Circular Economy Strategies: A Canadian Perspective","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Circular economy; Reuse; Resource efficiency; Business; Software deployment; Government (linguistics); Resource (disambiguation); Industrial ecology; Marketing; Environmental economics; Sustainability; Economics; Engineering; Computer science; Waste management","score_opus":0.007433717998446428,"score_gpt":0.18562929087991664,"score_spread":0.17819557288147023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205533957","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":[0.102504276,0.03646693,0.0030692837,0.21530397,0.00047387034,0.00016334781,0.0007441687,0.00007640261,0.64119774],"genre_scores_gemma":[0.91138923,0.030323207,0.0043158266,0.011798926,0.000063831416,0.000048367652,0.0002674892,0.00005134147,0.041741718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926287,0.0012813921,0.0001604228,0.0004337542,0.0023561767,0.0031394737],"domain_scores_gemma":[0.9908116,0.0017543335,0.00046963242,0.00015732786,0.0045078755,0.0022993803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047201677,0.0008214653,0.0004658019,0.004598833,0.027669188,0.015864683,0.0024488182,0.0031366944,0.009032171],"category_scores_gemma":[0.0056477645,0.00043975926,0.0005146428,0.00797492,0.018723685,0.006014165,0.0037036953,0.0037861662,0.00040181988],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005884561,0.000099063465,0.013291462,0.000748477,0.00003651682,0.001346,0.10104629,0.0019532675,0.000803662,0.75253356,0.059316576,0.06876637],"study_design_scores_gemma":[0.000013981958,0.000033293032,0.020129243,0.001176607,0.000048313923,0.00024052664,0.21751244,0.0011413569,0.00050730264,0.02530222,0.73374623,0.00014852926],"about_ca_topic_score_codex":0.9976835,"about_ca_topic_score_gemma":0.99846363,"teacher_disagreement_score":0.28789008,"about_ca_system_score_codex":0.28789008,"about_ca_system_score_gemma":0.3988893,"threshold_uncertainty_score":0.82594657},"labels":[],"label_agreement":null},{"id":"W4205578953","doi":"10.3390/en15020665","title":"Reliability-as-a-Service Usage of Electric Vehicles: Suitability Analysis for Different Types of Buildings","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Electric System Operator","keywords":"Backup; Transport engineering; Reliability (semiconductor); Automotive engineering; Service (business); Engineering; Reliability engineering; Computer science; Business; Power (physics); Database","score_opus":0.005463982580781838,"score_gpt":0.20502093062958027,"score_spread":0.19955694804879842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205578953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884173,0.00017546439,0.00892814,0.000049623628,0.000006261906,0.000049180482,0.0006395022,0.000063691274,0.001670826],"genre_scores_gemma":[0.9978236,0.000068947025,0.0011924913,0.000003973337,0.000004536508,0.000024464516,0.00064104644,0.000012973011,0.00022804689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892503,0.00037466167,0.000069106056,0.00014399973,0.00030042505,0.00018676402],"domain_scores_gemma":[0.995685,0.0026613742,0.0005213305,0.00028384227,0.0006600921,0.00018843959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012927288,0.0007311539,0.00049384334,0.0025824795,0.00036492755,0.0010579112,0.0006022158,0.0006581459,0.0012014507],"category_scores_gemma":[0.004171098,0.00028194214,0.0015702262,0.001921215,0.00042994987,0.0010163035,0.00060327456,0.00027706882,0.0003033659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044747532,0.00018350239,0.3681777,0.00015264182,0.00025152552,0.0009934038,0.00031075033,0.59760934,0.0044992366,0.0016952038,0.000932857,0.02474632],"study_design_scores_gemma":[0.000012117082,0.00028353345,0.25048918,0.000025150146,0.00010536057,0.0006592403,0.00076749356,0.7434928,0.0020889086,0.0009444168,0.0010884019,0.00004347098],"about_ca_topic_score_codex":0.006791923,"about_ca_topic_score_gemma":0.0058507593,"teacher_disagreement_score":0.006791923,"about_ca_system_score_codex":0.0007153207,"about_ca_system_score_gemma":0.00037998,"threshold_uncertainty_score":0.013504744},"labels":[],"label_agreement":null},{"id":"W4205788710","doi":"10.3390/en15010320","title":"Design and Analysis of a 35 GHz Rectenna System for Wireless Power Transfer to an Unmanned Air Vehicle","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Rectenna; Directivity; Microwave; Electrical engineering; Microstrip; Maximum power transfer theorem; Microstrip antenna; Antenna (radio); Microwave transmission; Power (physics); Antenna gain; Wireless power transfer; Radio frequency; Energy conversion efficiency; Engineering; Voltage; Electronic engineering; Antenna efficiency; Physics; Telecommunications; Rectification","score_opus":0.011109939358555074,"score_gpt":0.20585127108498244,"score_spread":0.19474133172642738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205788710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2539054,0.0013727535,0.7139556,0.0004087726,0.00013662741,0.00023527042,0.00019104379,0.00081420137,0.028980361],"genre_scores_gemma":[0.9256395,0.00042434526,0.06480021,0.000052885385,0.00002028858,0.00011703498,0.000103948034,0.000031319243,0.008810454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999026,0.000013687921,0.000004454378,0.000024928162,0.0000431768,0.000011211032],"domain_scores_gemma":[0.99996257,0.0000061342043,0.000010094437,0.000005522693,0.000012120397,0.0000035299286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103320024,0.00023458317,0.00022379545,0.0001270795,0.00016361113,0.00032742004,0.000332192,0.00027470704,0.0018941505],"category_scores_gemma":[0.000107663574,0.000113163675,0.00027474135,0.000107509375,0.00013014743,0.00031718324,0.00015644009,0.00014671402,0.00067235157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019954337,0.000051735275,0.0018149745,0.0004956458,0.0000908515,0.00057984487,0.0003036151,0.16848147,0.7278818,0.013924541,0.0017664584,0.08440955],"study_design_scores_gemma":[0.00003657925,0.0011354462,0.0038293656,0.00004066557,0.000095085255,0.0008377391,0.00018283556,0.74751526,0.19126846,0.0020548494,0.052954376,0.000049314618],"about_ca_topic_score_codex":0.00051174837,"about_ca_topic_score_gemma":0.00065282336,"teacher_disagreement_score":0.0018941505,"about_ca_system_score_codex":0.0003110476,"about_ca_system_score_gemma":0.00029812354,"threshold_uncertainty_score":0.00633657},"labels":[],"label_agreement":null},{"id":"W4205808255","doi":"10.3390/en15020579","title":"A Review of Recent Advancements in Offshore Wind Turbine Technology","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Offshore wind power; Turbine; Wind power; Marine engineering; Engineering; Aerodynamics; Systems engineering; Environmental science; Aerospace engineering","score_opus":0.04342001879169123,"score_gpt":0.3178984895694931,"score_spread":0.2744784707778019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205808255","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":[0.0002620164,0.9970188,0.00024370775,0.00034178497,0.00029083504,0.000006702363,0.000051586216,0.000013823255,0.0017707779],"genre_scores_gemma":[0.0009374967,0.9977671,0.00027226243,0.00016275249,0.00020825474,0.0000050825456,0.000058997684,0.0000024416877,0.0005855489],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970067,0.00003905188,0.00006223534,0.00006329697,0.00011277504,0.00002209706],"domain_scores_gemma":[0.9991417,0.00044978113,0.00012983255,0.000022805269,0.00020852314,0.000047373007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065197586,0.0008709174,0.0009810625,0.0035005184,0.0003132259,0.0010818745,0.0007268064,0.00090967765,0.008254963],"category_scores_gemma":[0.001243307,0.00037616602,0.00072455365,0.004023592,0.00031116596,0.0015263421,0.0005554868,0.0010540984,0.002566503],"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":[0.000065660504,0.000081332444,0.0003672479,0.052862156,0.00010678445,0.00021705806,0.00012261873,0.00069234514,0.0024613405,0.0037901548,0.03543364,0.9037996],"study_design_scores_gemma":[0.0000064075493,0.00009602625,0.0012314126,0.008093956,0.00016352789,0.00081372086,0.00007535225,0.00010205908,0.0004710951,0.0012095481,0.98771733,0.000019588186],"about_ca_topic_score_codex":0.0010568846,"about_ca_topic_score_gemma":0.0019699193,"teacher_disagreement_score":0.008254963,"about_ca_system_score_codex":0.00044480103,"about_ca_system_score_gemma":0.0013931652,"threshold_uncertainty_score":0.027615666},"labels":[],"label_agreement":null},{"id":"W4205908413","doi":"10.3390/en15030728","title":"Experimental Studies of Low-Load Limit in a Stoichiometric Micro-Pilot Diesel Natural Gas Engine","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"Vehicle Technologies Program; Vehicle Technologies Office; National Energy Technology Laboratory; U.S. Department of Energy","keywords":"Diesel fuel; Natural gas; Diesel engine; Methane; Combustion; Ignition system; NOx; Environmental science; Homogeneous charge compression ignition; Automotive engineering; Mean effective pressure; Exhaust gas recirculation; Inlet manifold; Compression ratio; Materials science; Internal combustion engine; Waste management; Combustion chamber; Chemistry; Engineering; Thermodynamics; Physics","score_opus":0.02328281132015723,"score_gpt":0.2753691584780194,"score_spread":0.25208634715786216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205908413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781334,0.00010046652,0.0015134588,0.000011376418,0.0000073069787,0.0000218903,0.00007861716,0.000042216314,0.00041132013],"genre_scores_gemma":[0.9978236,0.00010504286,0.0014819149,0.0000066677767,0.0000032240894,0.000026517058,0.00008650657,0.000013660985,0.0004528041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995427,0.00004231377,0.000039188064,0.000094606265,0.0002100746,0.00007116902],"domain_scores_gemma":[0.99950624,0.00019292386,0.00008285832,0.00004235934,0.00014320227,0.000032453787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048729175,0.00035845186,0.00039118572,0.00032746597,0.00039025917,0.0003549067,0.00068507664,0.00039261475,0.0013375494],"category_scores_gemma":[0.00075317663,0.00020464207,0.00023873421,0.00026805289,0.00044306112,0.00055507635,0.00036462012,0.000400208,0.00030698586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089051854,0.00041124845,0.0017682213,0.00022639458,0.000010670237,0.00014917077,0.00019449746,0.0019051422,0.98985356,0.000104878396,0.00006260957,0.0044230605],"study_design_scores_gemma":[0.000022163824,0.001499156,0.0044601434,0.000007137985,0.000013637726,0.000047159567,0.00008451629,0.006227616,0.98713595,0.000050345407,0.00043710845,0.000015041898],"about_ca_topic_score_codex":0.0012905495,"about_ca_topic_score_gemma":0.0020269628,"teacher_disagreement_score":0.0013375494,"about_ca_system_score_codex":0.00036840662,"about_ca_system_score_gemma":0.00019670035,"threshold_uncertainty_score":0.0044745803},"labels":[],"label_agreement":null},{"id":"W4205942446","doi":"10.3390/en15030762","title":"Influence of Ester Liquids on Dielectric Strength of Cellulose Kraft Paper","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Wetting; Dielectric; Kraft paper; Mineral oil; Materials science; Composite material; Dielectric strength; Electrical insulation paper; Diffusion; Cellulose; Voltage; Electrical engineering; Chemistry; Thermodynamics; Organic chemistry; Metallurgy; Optoelectronics","score_opus":0.004260020985903091,"score_gpt":0.18780289758283686,"score_spread":0.18354287659693377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205942446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99728763,0.0010705859,0.0005794152,0.000016737577,0.000010983608,0.0000051165352,0.0000774459,0.000008848745,0.0009433123],"genre_scores_gemma":[0.9972984,0.0009542409,0.0008448324,0.000016808652,0.000004442379,0.000004685438,0.00009322164,0.00001042022,0.00077305903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998387,0.000024863251,0.000015194616,0.00002841122,0.000056802095,0.000036016056],"domain_scores_gemma":[0.99968004,0.00012478004,0.00006485862,0.000015876427,0.000079673686,0.00003474467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001831679,0.00024250042,0.00015160452,0.00023465967,0.0001131859,0.00028153465,0.0000976312,0.00012379847,0.0010470792],"category_scores_gemma":[0.00063296343,0.00010982042,0.00016913911,0.00024406615,0.00012687936,0.00029290357,0.00016447283,0.00030171577,0.00017797085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015932928,0.000016068456,0.00077496836,0.00007067747,0.000008842451,0.00006963085,0.00004576739,0.00018196931,0.9951433,0.000034468485,0.00001579906,0.0034791012],"study_design_scores_gemma":[0.0000017741839,0.00017933814,0.0025015748,0.000005388501,0.0000109479415,0.00006314999,0.00003771272,0.00034864448,0.9964619,0.000011085837,0.00037449782,0.000004072484],"about_ca_topic_score_codex":0.00077271124,"about_ca_topic_score_gemma":0.0008957671,"teacher_disagreement_score":0.0010470792,"about_ca_system_score_codex":0.00012573398,"about_ca_system_score_gemma":0.00015114278,"threshold_uncertainty_score":0.0035027862},"labels":[],"label_agreement":null},{"id":"W4206057491","doi":"10.3390/en15030752","title":"Feasibility of Solar Grid-Based Industrial Virtual Power Plant for Optimal Energy Scheduling: A Case of Indian Power Sector","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual power plant; Renewable energy; Distributed generation; Grid; Peaking power plant; Scheduling (production processes); Engineering; Reliability engineering; Automotive engineering; Computer science; Electrical engineering; Operations management","score_opus":0.026202412106070876,"score_gpt":0.22359333355805172,"score_spread":0.19739092145198084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206057491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9317489,0.00014055816,0.046156388,0.00042290744,0.000029364666,0.00006733412,0.00009498467,0.00014601178,0.021193523],"genre_scores_gemma":[0.9972205,0.000019793462,0.002254741,0.0000058375263,0.0000015932799,0.000004719067,0.000013924953,0.000003953912,0.00047490903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997545,0.00010991541,0.000006671365,0.000027662061,0.000037832928,0.000063497246],"domain_scores_gemma":[0.9997075,0.00014459988,0.000027894172,0.000029476281,0.00005272249,0.00003781795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005609382,0.00034291894,0.00033160378,0.00036067946,0.0005584978,0.0009963424,0.0006926176,0.00066359644,0.0018528636],"category_scores_gemma":[0.000853025,0.00018274816,0.0004982708,0.0004403831,0.0004537656,0.0005660858,0.0004466005,0.00041406642,0.000111627756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023332662,0.000103278304,0.0043923473,0.000055127162,0.000023344379,0.0012426719,0.00008710683,0.9749785,0.0025697902,0.006352484,0.00080165773,0.009160314],"study_design_scores_gemma":[0.000016627871,0.000045115095,0.0010119339,0.0000020124976,0.000008148214,0.000050641418,0.000117351454,0.99705625,0.00064817426,0.0008162579,0.00022229397,0.000005253873],"about_ca_topic_score_codex":0.021304525,"about_ca_topic_score_gemma":0.015025351,"teacher_disagreement_score":0.021304525,"about_ca_system_score_codex":0.0007409987,"about_ca_system_score_gemma":0.0008408893,"threshold_uncertainty_score":0.04236102},"labels":[],"label_agreement":null},{"id":"W4206094458","doi":"10.3390/en15020475","title":"The Current Status and Future Potential of Biogas Production from Canada’s Organic Fraction Municipal Solid Waste","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":49,"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 Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; BioFuelNet Canada","keywords":"Biogas; Anaerobic digestion; Waste management; Biodegradable waste; Municipal solid waste; Renewable energy; Digestate; Business; Renewable resource; Raw material; Environmental science; Engineering; Methane","score_opus":0.006680750246207251,"score_gpt":0.20540475438628428,"score_spread":0.19872400414007702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206094458","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5631389,0.30691412,0.0022083686,0.033732172,0.00022263025,0.00006212286,0.0048365933,0.0001772322,0.08870789],"genre_scores_gemma":[0.87226504,0.117248446,0.0028247696,0.00084869296,0.00003068313,0.000010765502,0.0013831395,0.00001529713,0.005373061],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988691,0.00009994511,0.0000401058,0.00008625648,0.0005333881,0.00037116464],"domain_scores_gemma":[0.9967859,0.00036727093,0.0002602192,0.000040365758,0.0020885218,0.000457762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022934875,0.00032858708,0.00026092475,0.0016133639,0.002438445,0.004678186,0.00087941927,0.0006589938,0.0023594655],"category_scores_gemma":[0.0017543671,0.00016208953,0.00034986093,0.003896425,0.0015518848,0.0017171337,0.0006071042,0.0006150133,0.00022149007],"study_design_candidate":"theoretical_or_conceptual","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":[0.0011743739,0.0002636136,0.1465093,0.007932322,0.00018343757,0.0011590633,0.005328938,0.007147097,0.032849446,0.03282672,0.026173599,0.7384521],"study_design_scores_gemma":[0.00005486627,0.00053013593,0.2924224,0.0036590945,0.00038672166,0.00067973405,0.03617725,0.005623465,0.031225227,0.007577606,0.6213975,0.0002659831],"about_ca_topic_score_codex":0.95483834,"about_ca_topic_score_gemma":0.9865132,"teacher_disagreement_score":0.045161664,"about_ca_system_score_codex":0.044035345,"about_ca_system_score_gemma":0.10687146,"threshold_uncertainty_score":0.31950027},"labels":[],"label_agreement":null},{"id":"W4206177703","doi":"10.3390/en15020592","title":"Variable Speed Diesel Generators: Performance and Characteristic Comparison","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Automotive engineering; Diesel generator; Diesel fuel; Diesel engine; Backup; Electrical load; Fuel efficiency; Electric power; Environmental science; Power (physics); Engineering; Electrical engineering; Mechanical engineering; Voltage","score_opus":0.013931655855201348,"score_gpt":0.23290676399069662,"score_spread":0.21897510813549528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206177703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87653214,0.023359656,0.04100597,0.00031842274,0.00024168608,0.00018428254,0.0033004328,0.0011616526,0.053895846],"genre_scores_gemma":[0.9909484,0.0023131196,0.0016700777,0.000014970657,0.000031912525,0.00001445499,0.0014144032,0.00006449158,0.0035281696],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996222,0.000043153163,0.000030205221,0.00006783632,0.00020406023,0.00003260007],"domain_scores_gemma":[0.9993444,0.00022184914,0.00006671743,0.00004820297,0.00028806692,0.000030797397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043956988,0.00054970366,0.00046762815,0.0014438096,0.00018701637,0.00074393116,0.00054148695,0.00038717242,0.0018385269],"category_scores_gemma":[0.00076437247,0.00009607374,0.00036982403,0.0014589987,0.00013216077,0.00070525706,0.00023528407,0.0002790039,0.0013566137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034139114,0.00051274884,0.056538116,0.0025764934,0.00026860263,0.0006052574,0.0002939957,0.11603539,0.09292996,0.002790242,0.009797918,0.71423733],"study_design_scores_gemma":[0.00028089088,0.013916635,0.2726391,0.00034447928,0.0006862912,0.0033185643,0.0011805202,0.31687957,0.26670247,0.0045717703,0.11912979,0.0003500193],"about_ca_topic_score_codex":0.0011271461,"about_ca_topic_score_gemma":0.000807082,"teacher_disagreement_score":0.0018385269,"about_ca_system_score_codex":0.00042142143,"about_ca_system_score_gemma":0.00015985247,"threshold_uncertainty_score":0.006150484},"labels":[],"label_agreement":null},{"id":"W4206282141","doi":"10.3390/en15030698","title":"Development of a Low-Depth Modular GHX through a Real-Scale Experiment","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Modular design; HVAC; Heat exchanger; Engineering; Efficient energy use; Lift (data mining); Environmental science; Automotive engineering; Mechanical engineering; Air conditioning; Computer science; Electrical engineering","score_opus":0.018041824895645934,"score_gpt":0.24850022952075818,"score_spread":0.23045840462511225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206282141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96431303,0.00006585493,0.03268622,0.00007641667,0.00005475809,0.00055447593,0.00035616226,0.0004265829,0.0014666405],"genre_scores_gemma":[0.95786315,0.000085624655,0.03932515,0.000043105887,0.000008923646,0.0003673829,0.00027695124,0.0000367936,0.00199295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956244,0.00007192028,0.000018924044,0.00009346972,0.00018174473,0.00007154853],"domain_scores_gemma":[0.999398,0.00010801533,0.0000747639,0.00010477075,0.00021822112,0.00009609337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011416276,0.00058961107,0.0003943186,0.0003068744,0.0003224085,0.00034819107,0.00075210654,0.00059293763,0.0016895916],"category_scores_gemma":[0.0009213133,0.00016149852,0.00038879339,0.00022479756,0.000470918,0.0007586491,0.00051535555,0.0005122594,0.00041596676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018202425,0.0039426805,0.014781056,0.00083245273,0.00007094124,0.0004882253,0.00046224135,0.033713493,0.86800843,0.0011049377,0.0012353485,0.073539965],"study_design_scores_gemma":[0.0009162225,0.04432264,0.06489747,0.00006713768,0.00023698137,0.00030356462,0.0012115494,0.11130215,0.759764,0.000996464,0.015848028,0.00013375498],"about_ca_topic_score_codex":0.0013976817,"about_ca_topic_score_gemma":0.0018258821,"teacher_disagreement_score":0.0016895916,"about_ca_system_score_codex":0.00041035222,"about_ca_system_score_gemma":0.00047850545,"threshold_uncertainty_score":0.0060375333},"labels":[],"label_agreement":null},{"id":"W4206302686","doi":"10.3390/en15020437","title":"Current Harmonic Aggregation Cases for Contemporary Loads","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Harmonics; Harmonic; Power (physics); Electronic engineering; Electrical engineering; Computer science; Inverter; Voltage; Electric power system; Limit (mathematics); Control theory (sociology); Engineering; Physics; Mathematics; Acoustics","score_opus":0.01985981813976315,"score_gpt":0.2221311839290665,"score_spread":0.20227136578930335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206302686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51218355,0.0013863371,0.35569713,0.0007199249,0.00025785743,0.00022695177,0.00037161494,0.0013257102,0.12783098],"genre_scores_gemma":[0.98657924,0.00016689289,0.009561929,0.000042228858,0.00009208354,0.000031827378,0.000114212715,0.000034086872,0.003377363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932706,0.00010555438,0.000042376716,0.00011685554,0.00026977994,0.00013832636],"domain_scores_gemma":[0.9987412,0.00048973545,0.00020196704,0.00029026144,0.00023007207,0.000046818262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006496091,0.00048161644,0.0004726843,0.00092916447,0.0007093898,0.001646962,0.00059699354,0.00096270087,0.0047258097],"category_scores_gemma":[0.0026942792,0.00011753336,0.00048439292,0.001023642,0.0007783867,0.0015346871,0.00087260286,0.0005378779,0.0006335812],"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":[0.0011110568,0.00029410791,0.017349306,0.00056609313,0.00013701015,0.011077441,0.0027769613,0.30791104,0.033145957,0.43173924,0.011892881,0.18199895],"study_design_scores_gemma":[0.000059003392,0.00016389941,0.010861311,0.000054365602,0.00007639621,0.003748287,0.0006573403,0.8742505,0.010723114,0.083247766,0.016106108,0.000051951916],"about_ca_topic_score_codex":0.0020662497,"about_ca_topic_score_gemma":0.0012187185,"teacher_disagreement_score":0.0047258097,"about_ca_system_score_codex":0.0006645417,"about_ca_system_score_gemma":0.000248174,"threshold_uncertainty_score":0.015809417},"labels":[],"label_agreement":null},{"id":"W4206405872","doi":"10.3390/en15010307","title":"A Comprehensive Study on Intermittent Operation of Horizontal Deep Borehole Heat Exchangers","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Alliance Canada","keywords":"Borehole; Heat exchanger; Thermal conductivity; Volumetric flow rate; Heat transfer; Environmental science; Materials science; Mechanics; Geology; Geotechnical engineering; Thermodynamics; Composite material","score_opus":0.022240031209280007,"score_gpt":0.25200359201237527,"score_spread":0.22976356080309526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206405872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838897,0.0012109316,0.01375625,0.00003182084,0.000015435997,0.0000128852225,0.000043818174,0.000044586723,0.0009945056],"genre_scores_gemma":[0.99779356,0.0002826651,0.0015922075,0.0000035187131,0.000005832298,0.0000039150896,0.000028114007,0.000003411026,0.00028674703],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998567,0.000025801495,0.000009023345,0.000029648665,0.000052134623,0.0000266818],"domain_scores_gemma":[0.99981683,0.00006611662,0.00003946374,0.000026183307,0.000037576745,0.000013904364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037072043,0.00019553574,0.00033734157,0.00022864397,0.0001643178,0.00030797406,0.0002775516,0.00015197389,0.0005230176],"category_scores_gemma":[0.00040511746,0.00009911964,0.00029142786,0.0002675489,0.0002147249,0.00061389914,0.00020925645,0.00018284317,0.000052116713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000807655,0.00046971685,0.03554812,0.0015607479,0.00010945376,0.0004901926,0.0003992214,0.11520014,0.6569278,0.0040741907,0.0006656048,0.18374714],"study_design_scores_gemma":[0.00008078581,0.004520399,0.07217232,0.0000669058,0.00019494825,0.00051876105,0.00044797,0.5522639,0.35894504,0.0013214637,0.009391445,0.00007604013],"about_ca_topic_score_codex":0.00078947726,"about_ca_topic_score_gemma":0.00068582135,"teacher_disagreement_score":0.00078947726,"about_ca_system_score_codex":0.0002075191,"about_ca_system_score_gemma":0.00021874205,"threshold_uncertainty_score":0.0019606352},"labels":[],"label_agreement":null},{"id":"W4206441498","doi":"10.3390/en15020667","title":"A Transformerless AC-AC Converter with Improved Power Quality Employed to Step-Down Power Frequency at Output","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Taif University","keywords":"Total harmonic distortion; Harmonics; Transformer; Converters; Engineering; Pulse-width modulation; Power factor; Electrical engineering; Electronic engineering; Voltage; Computer science; Control theory (sociology)","score_opus":0.011718669612892908,"score_gpt":0.21633019242966697,"score_spread":0.20461152281677406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206441498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067213915,0.002154587,0.8575512,0.0004663116,0.00074191537,0.0002966865,0.00051656755,0.0035625661,0.067496225],"genre_scores_gemma":[0.8352913,0.0016163081,0.120409735,0.0004984463,0.00035319984,0.00010312659,0.00062247145,0.00020478429,0.04090063],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996358,0.000027168131,0.000024116365,0.00008057908,0.00021164466,0.000020769452],"domain_scores_gemma":[0.999742,0.000028183149,0.000032244352,0.00005678198,0.00012208355,0.000018721228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018682245,0.00035794987,0.00032279544,0.00049990206,0.0003003316,0.0008434147,0.0009681411,0.00048068815,0.007070176],"category_scores_gemma":[0.00040064965,0.00018443058,0.00031143898,0.0007156105,0.00027380625,0.0011849354,0.00034154518,0.0008024609,0.003123392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029185208,0.00023407057,0.0007555469,0.0008303332,0.000045093202,0.0004538096,0.00012932395,0.0037877562,0.6742105,0.019566294,0.006923434,0.292772],"study_design_scores_gemma":[0.00023462156,0.0016650438,0.004305553,0.00016577561,0.0002212882,0.008416781,0.00010803862,0.12361923,0.6181765,0.012616295,0.23037802,0.0000928561],"about_ca_topic_score_codex":0.00047714403,"about_ca_topic_score_gemma":0.00057613355,"teacher_disagreement_score":0.007070176,"about_ca_system_score_codex":0.00031866602,"about_ca_system_score_gemma":0.00029746373,"threshold_uncertainty_score":0.023652136},"labels":[],"label_agreement":null},{"id":"W4206910610","doi":"10.3390/en15030810","title":"CBLSTM-AE: A Hybrid Deep Learning Framework for Predicting Energy Consumption","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":58,"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":"Engineering and Physical Sciences Research Council","keywords":"Overfitting; Computer science; Autoencoder; Robustness (evolution); Artificial intelligence; Deep learning; Mean squared error; Convolutional neural network; Machine learning; Energy consumption; Artificial neural network; Statistics","score_opus":0.011055219690164195,"score_gpt":0.2148248886772208,"score_spread":0.20376966898705662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206910610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048790663,0.0011395719,0.9370552,0.00040455707,0.00016710516,0.000068185145,0.0029468231,0.0059951334,0.0034327602],"genre_scores_gemma":[0.6871469,0.0009804049,0.2942049,0.00047291382,0.000108344866,0.00021695493,0.007843247,0.0003060982,0.00872023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980134,0.00003100526,0.000010539474,0.00007174365,0.00005632367,0.00002906298],"domain_scores_gemma":[0.99980277,0.000053578082,0.000019256771,0.000025633257,0.000087641034,0.000011169596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005223124,0.0013378839,0.00049803907,0.0007137906,0.000206879,0.0005993873,0.0015782199,0.0008144245,0.0017893618],"category_scores_gemma":[0.0011351802,0.0003464116,0.00062231027,0.00093604426,0.00025217328,0.0013051373,0.0007611053,0.0014426222,0.00074484583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018629653,0.0002191725,0.00395433,0.00016581031,0.00020423338,0.00012575473,0.00006459983,0.7034028,0.008121825,0.0053754887,0.0098322695,0.2683475],"study_design_scores_gemma":[0.0000032892053,0.000012576028,0.00038638752,0.000007918014,0.000007093154,0.000010474608,0.0000050274302,0.99586594,0.0012907331,0.001619155,0.0007852545,0.000006210772],"about_ca_topic_score_codex":0.026686206,"about_ca_topic_score_gemma":0.04669468,"teacher_disagreement_score":0.026686206,"about_ca_system_score_codex":0.00083031924,"about_ca_system_score_gemma":0.0009574084,"threshold_uncertainty_score":0.053061724},"labels":[],"label_agreement":null},{"id":"W4210251867","doi":"10.3390/en15031152","title":"Effective Thermal Conductivity and Borehole Thermal Resistance in Selected Borehole Heat Exchangers for the Same Geology","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","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":"Borehole; Thermal conductivity; Heat exchanger; Heat transfer; Thermal; Thermal resistance; Geology; Geotechnical engineering; Materials science; Thermodynamics; Engineering; Composite material; Mechanical engineering; Physics","score_opus":0.010977713867533828,"score_gpt":0.2274356651913116,"score_spread":0.21645795132377776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210251867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99635005,0.00009066099,0.0027532228,0.0000062318977,0.0000024321537,0.0000091474285,0.00007528249,0.00003994705,0.00067315216],"genre_scores_gemma":[0.99920684,0.000018669713,0.00058443536,8.6418555e-7,4.7098186e-7,0.000003833789,0.00004027792,0.00000491966,0.00013974549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996704,0.00006673301,0.000026367143,0.00008972872,0.00009824237,0.000048597845],"domain_scores_gemma":[0.99935395,0.00027916837,0.00014527509,0.000060190596,0.00013746042,0.000024032708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067417254,0.00024923158,0.00022417899,0.0012005618,0.00018844784,0.00045638529,0.00031033286,0.0003485506,0.00068822555],"category_scores_gemma":[0.0013457694,0.00016568264,0.00024095351,0.0007249387,0.00035482954,0.00065318216,0.00019526988,0.00012153737,0.000119344986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001601335,0.00023288911,0.16212958,0.0004845663,0.000094150455,0.00076241116,0.0015703818,0.034028582,0.7401926,0.0019203426,0.00031963768,0.05666355],"study_design_scores_gemma":[0.000053779895,0.0015780064,0.53276473,0.00004347021,0.00016562578,0.0010573366,0.0013138521,0.04307745,0.41716078,0.000872837,0.0018339435,0.00007815771],"about_ca_topic_score_codex":0.00066800584,"about_ca_topic_score_gemma":0.0014153376,"teacher_disagreement_score":0.0012005618,"about_ca_system_score_codex":0.00027502072,"about_ca_system_score_gemma":0.00016449213,"threshold_uncertainty_score":0.0035654306},"labels":[],"label_agreement":null},{"id":"W4210272792","doi":"10.3390/en15031054","title":"New Integrated Process for the Efficient Production of Methanol, Electrical Power, and Heating","year":2022,"lang":"en","type":"article","venue":"Energies","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":"Université du Québec à Rimouski","funders":"","keywords":"Exergy; Organic Rankine cycle; Methanol; Thermal efficiency; Chemistry; Distillation; Exergy efficiency; Waste heat recovery unit; Heat exchanger; Waste management; Materials science; Waste heat; Thermodynamics; Engineering; Chromatography; Organic chemistry","score_opus":0.0071349599213955325,"score_gpt":0.22979914762179193,"score_spread":0.2226641877003964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210272792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46526605,0.009748117,0.5098864,0.00033092694,0.0006625018,0.00031467964,0.00031580025,0.0016673952,0.011808046],"genre_scores_gemma":[0.8099351,0.0026877334,0.18010029,0.00013551924,0.000102114085,0.00015122372,0.00043602113,0.000077630684,0.006374344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973315,0.000009548069,0.0000135570635,0.000078508565,0.00012201928,0.00004317285],"domain_scores_gemma":[0.9999609,0.0000035821956,0.000010230128,0.0000055412493,0.00001300215,0.000006779155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016665722,0.0004573857,0.0005335374,0.00048128894,0.0002418191,0.00053557195,0.00071194005,0.00052608654,0.00080107345],"category_scores_gemma":[0.00010927961,0.0002576146,0.0005820892,0.00049280154,0.00024840885,0.00092336844,0.00064915384,0.0007109193,0.00030533495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006018347,0.00007929209,0.00031830042,0.00031858255,0.000019657993,0.0001662697,0.00002939843,0.0010073228,0.9743706,0.001962635,0.00019584429,0.021471905],"study_design_scores_gemma":[0.000048924925,0.00062683836,0.001448142,0.000016771017,0.00010549095,0.00050968886,0.00002986981,0.02968943,0.94581795,0.0005456427,0.021135604,0.000025561629],"about_ca_topic_score_codex":0.00034157562,"about_ca_topic_score_gemma":0.0007245492,"teacher_disagreement_score":0.00080107345,"about_ca_system_score_codex":0.00032259146,"about_ca_system_score_gemma":0.00036387183,"threshold_uncertainty_score":0.0026798844},"labels":[],"label_agreement":null},{"id":"W4210311670","doi":"10.3390/en15031094","title":"Detailed Analysis of the Effects of Biodiesel Fraction Increase on the Combustion Stability and Characteristics of a Reactivity-Controlled Compression Ignition Diesel-Biodiesel/Natural Gas Engine","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Diesel fuel; NOx; Biodiesel; Diesel engine; Combustion; Ignition system; Common rail; Waste management; Fraction (chemistry); Environmental science; Chemistry; Materials science; Automotive engineering; Engineering; Thermodynamics; Organic chemistry; Physics","score_opus":0.007440192069715992,"score_gpt":0.20868933851676955,"score_spread":0.20124914644705355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210311670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985298,0.0004445197,0.00043001122,0.00000953634,0.000010014807,0.000008783026,0.00018515675,0.000024030369,0.00035822496],"genre_scores_gemma":[0.9982888,0.0002836576,0.00053737353,0.000008950867,0.0000030658648,0.000011053857,0.00020658525,0.000010238856,0.00065021176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984205,0.000009294677,0.000014750621,0.000044189765,0.000054575925,0.000035100195],"domain_scores_gemma":[0.99979705,0.000058328977,0.000040520146,0.0000111638565,0.0000708687,0.0000219832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019897717,0.0004076596,0.00029072547,0.0003195367,0.00019794851,0.00020509234,0.0002303738,0.00027385977,0.0009188298],"category_scores_gemma":[0.00021940106,0.0001537111,0.0003983602,0.00025504507,0.00013983515,0.00022207583,0.00014242629,0.00035367202,0.00016442093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005966764,0.00007266282,0.0017261773,0.00013283743,0.000019197496,0.00008870942,0.000043160602,0.0011127726,0.992474,0.000027958124,0.000041559826,0.003664363],"study_design_scores_gemma":[0.000007582064,0.00044462737,0.01330098,0.0000039889487,0.000028179516,0.000028037817,0.000031631487,0.002348523,0.98339784,0.000008918021,0.0003900304,0.000009710906],"about_ca_topic_score_codex":0.0018058547,"about_ca_topic_score_gemma":0.002358174,"teacher_disagreement_score":0.0018058547,"about_ca_system_score_codex":0.00019154194,"about_ca_system_score_gemma":0.0001343945,"threshold_uncertainty_score":0.0035906434},"labels":[],"label_agreement":null},{"id":"W4210441090","doi":"10.3390/en15030916","title":"Parameters Affecting Dust Collector Efficiency for Pneumatic Conveying: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Cyclone Separators and Fluid Dynamics","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":"Université du Québec à Rimouski","funders":"","keywords":"Work (physics); Context (archaeology); Energy consumption; Electricity; Process engineering; Efficient energy use; Greenhouse gas; Environmental science; Automotive engineering; Computer science; Engineering; Mechanical engineering","score_opus":0.04433016867475202,"score_gpt":0.2942959405481624,"score_spread":0.24996577187341035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210441090","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":[0.00056903734,0.99813676,0.00027176394,0.00006411003,0.000079154066,0.000009271782,0.000037284197,0.000010209898,0.0008222762],"genre_scores_gemma":[0.0027075529,0.99633527,0.0003766656,0.000055267657,0.00007922308,0.000011315712,0.00006010781,0.0000038737617,0.00037078245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957293,0.00005793961,0.00008080024,0.00011218398,0.00014837309,0.000027769787],"domain_scores_gemma":[0.9988423,0.0007229625,0.00019326588,0.000027830589,0.00018772834,0.000025892614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009240034,0.00130787,0.0018455997,0.0028417015,0.00029977466,0.0013175093,0.0010816302,0.0012117525,0.0038066022],"category_scores_gemma":[0.001442552,0.00060871465,0.0012084178,0.002917966,0.00044006293,0.0013558517,0.00051241345,0.0007053572,0.0015310228],"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":[0.00011885052,0.00016924557,0.00059312565,0.112158656,0.0003031541,0.00017311692,0.00009867771,0.0018370223,0.004503365,0.0026098923,0.008985557,0.86844933],"study_design_scores_gemma":[0.000028038265,0.00066864956,0.0039935894,0.018536193,0.0013941284,0.0016222986,0.000210483,0.0009825799,0.0085848905,0.0019375362,0.9619281,0.00011327332],"about_ca_topic_score_codex":0.0015093359,"about_ca_topic_score_gemma":0.0016911501,"teacher_disagreement_score":0.0038066022,"about_ca_system_score_codex":0.0004607194,"about_ca_system_score_gemma":0.00119631,"threshold_uncertainty_score":0.012734294},"labels":[],"label_agreement":null},{"id":"W4210461730","doi":"10.3390/en15031002","title":"Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Model predictive control; Control theory (sociology); Controller (irrigation); Grid connection; Computer science; Wind power; Permanent magnet synchronous generator; Grid; Control engineering; Engineering; Control (management); Voltage","score_opus":0.002835894261196578,"score_gpt":0.15544341151834365,"score_spread":0.15260751725714708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210461730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4570891,0.00045820334,0.5155541,0.00016708809,0.00014376637,0.0001251192,0.00011645588,0.0021257561,0.02422051],"genre_scores_gemma":[0.9930179,0.000053743268,0.0059936545,0.000008493532,0.000007881098,0.000019198384,0.000027899036,0.000011532611,0.00085970084],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999416,0.00000845302,0.000003582345,0.000011626651,0.000027854363,0.000006822999],"domain_scores_gemma":[0.99993694,0.00001597086,0.000010356661,0.00001217934,0.000020054791,0.000004501516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012528195,0.00034002957,0.00023267641,0.00018543037,0.00017104232,0.00035456038,0.00025238446,0.00014891315,0.0015273615],"category_scores_gemma":[0.0002201038,0.00007198358,0.00013760975,0.00014050544,0.00010618568,0.00024338783,0.00019617086,0.00020467116,0.0002751419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005635223,0.00022712418,0.0018631046,0.00052525784,0.000088827655,0.00045033466,0.00021826047,0.32711765,0.3602693,0.0063359966,0.002338492,0.30000216],"study_design_scores_gemma":[0.00004695405,0.0008329229,0.002691997,0.000017968943,0.00003738476,0.00017602826,0.00003305486,0.9326689,0.05824053,0.0011017411,0.004135363,0.000017149554],"about_ca_topic_score_codex":0.00046133774,"about_ca_topic_score_gemma":0.0007912898,"teacher_disagreement_score":0.0015273615,"about_ca_system_score_codex":0.0001240704,"about_ca_system_score_gemma":0.0001429542,"threshold_uncertainty_score":0.0051095486},"labels":[],"label_agreement":null},{"id":"W4210509696","doi":"10.3390/en15031083","title":"A Review on the Estimation of Power Loss Due to Icing in Wind Turbines","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Icing; Wind power; Computational fluid dynamics; Marine engineering; Power (physics); Environmental science; Meteorology; Automotive engineering; Computer science; Engineering; Aerospace engineering; Electrical engineering","score_opus":0.03192529940089996,"score_gpt":0.28537668629944,"score_spread":0.2534513868985401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210509696","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":[0.0005977136,0.99428743,0.0025848132,0.00018875455,0.00028070057,0.0000129020955,0.00009702288,0.000020001497,0.0019306488],"genre_scores_gemma":[0.0030255334,0.9940573,0.001501663,0.000111978865,0.00025043153,0.000012261201,0.00010848655,0.0000063633815,0.0009260242],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996735,0.0000486408,0.000050690745,0.00007082204,0.00014051104,0.000015886242],"domain_scores_gemma":[0.9992269,0.00045013,0.00010875723,0.000018574026,0.00018089052,0.000014676794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006023085,0.0011004579,0.0011752107,0.0024604134,0.0002127021,0.00098763,0.0006673402,0.00095039315,0.0030602175],"category_scores_gemma":[0.0011750868,0.0004166448,0.00073337293,0.0027781758,0.00026146838,0.0013214571,0.00037929814,0.000655368,0.0013756434],"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":[0.000052979376,0.000058152727,0.00049656426,0.034921214,0.00016488043,0.00020156174,0.00006837758,0.0024602597,0.004122872,0.0030663807,0.0148786325,0.939508],"study_design_scores_gemma":[0.000011377592,0.00035737464,0.0043301387,0.0123724,0.00060471194,0.0017173861,0.00016058302,0.002097796,0.0051818797,0.0037065928,0.9693541,0.00010562382],"about_ca_topic_score_codex":0.0012854206,"about_ca_topic_score_gemma":0.0014167062,"teacher_disagreement_score":0.0030602175,"about_ca_system_score_codex":0.0002535917,"about_ca_system_score_gemma":0.00074580475,"threshold_uncertainty_score":0.010237455},"labels":[],"label_agreement":null},{"id":"W4210591073","doi":"10.3390/en15031034","title":"Jet Impingement Cooling Enhanced with Nano-Encapsulated PCM","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer Mechanisms","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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heat transfer; Heat transfer enhancement; Jet (fluid); Laminar flow; Materials science; Reynolds number; Mechanics; Thermodynamics; Heat transfer coefficient; Turbulence; Physics","score_opus":0.006208382542430385,"score_gpt":0.17859969759568117,"score_spread":0.17239131505325078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210591073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98311573,0.001038536,0.014369322,0.00004169889,0.00004197267,0.000021321792,0.00004537337,0.00010892303,0.0012170494],"genre_scores_gemma":[0.9935986,0.00032717545,0.0050471197,0.000016618302,0.000010372181,0.00001412124,0.000034966208,0.000019183779,0.0009317891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998889,0.000012372254,0.0000042239926,0.000023736644,0.00005002818,0.000020751246],"domain_scores_gemma":[0.9999181,0.000029085064,0.00001853522,0.000007830931,0.000021204194,0.000005287921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014719887,0.00025777382,0.00037408475,0.00015866873,0.00016747699,0.0003206741,0.0002603378,0.00021970166,0.0008855023],"category_scores_gemma":[0.00022733906,0.00013040706,0.0002805157,0.00016187887,0.00027848408,0.0005010102,0.00020419924,0.00029501252,0.00017813638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000773775,0.000014831084,0.00030749998,0.000111613874,0.0000043260557,0.000057494293,0.000029684143,0.0009924265,0.9940503,0.00016843487,0.0000431096,0.0041428],"study_design_scores_gemma":[0.000009918754,0.0001396293,0.0010011585,0.0000044678472,0.000008008984,0.00003807211,0.000012757729,0.009823137,0.98827493,0.000021974178,0.0006603844,0.0000055137048],"about_ca_topic_score_codex":0.00056336675,"about_ca_topic_score_gemma":0.00088468473,"teacher_disagreement_score":0.0008855023,"about_ca_system_score_codex":0.0002893266,"about_ca_system_score_gemma":0.00018678648,"threshold_uncertainty_score":0.0029623508},"labels":[],"label_agreement":null},{"id":"W4210614369","doi":"10.3390/en15031140","title":"Robust Economic MPC of the Absorption Column in Post-Combustion Carbon Capture through Zone Tracking","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Flue gas; Combustion; Model predictive control; Computer science; Absorption (acoustics); Mathematical optimization; Engineering; Control (management); Mathematics; Chemistry; Materials science; Artificial intelligence; Waste management","score_opus":0.008315032285721821,"score_gpt":0.1802517451877698,"score_spread":0.17193671290204798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210614369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16480878,0.00025603807,0.827033,0.00018230407,0.000035734323,0.00006493449,0.000052638632,0.00038037903,0.0071861944],"genre_scores_gemma":[0.99063665,0.000043474152,0.008412011,0.0000145315935,0.000004513835,0.000022076383,0.000015078838,0.000008318332,0.00084327895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998103,0.000036194113,0.000005092123,0.000039031736,0.000058873524,0.00005054354],"domain_scores_gemma":[0.9997054,0.00013664272,0.000066783425,0.00001708556,0.00005500589,0.000019101517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005104863,0.00064687897,0.0005086416,0.00022467048,0.00037275156,0.0007457394,0.0005499332,0.0004725046,0.0006567702],"category_scores_gemma":[0.00056646334,0.00023419164,0.00036700795,0.00027095486,0.0007055777,0.00041003508,0.00072183623,0.0006733477,0.00007963336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049875664,0.000016389798,0.00017650447,0.000020351696,0.000006873812,0.000031008607,0.000014326801,0.989773,0.0031192976,0.0021138492,0.00011654101,0.0045620864],"study_design_scores_gemma":[0.000003915333,0.000017775696,0.00007958632,9.945311e-7,0.0000014446681,0.000002298174,0.000002096634,0.9987124,0.000796228,0.0003033593,0.00007821419,0.0000016745598],"about_ca_topic_score_codex":0.0107362,"about_ca_topic_score_gemma":0.0063641253,"teacher_disagreement_score":0.0107362,"about_ca_system_score_codex":0.0007832286,"about_ca_system_score_gemma":0.0010077759,"threshold_uncertainty_score":0.021347404},"labels":[],"label_agreement":null},{"id":"W4210642591","doi":"10.3390/en15031107","title":"Performance Analysis and Comparative Study of a 467.2 kWp Grid-Interactive SPV System: A Case Study","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SCADA; Photovoltaic system; Grid; Computer science; Control (management); Automotive engineering; Environmental science; Real-time computing; Electrical engineering; Engineering; Geography; Artificial intelligence","score_opus":0.02767828944396925,"score_gpt":0.2844962121558293,"score_spread":0.25681792271186005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210642591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398625,0.00003421751,0.0033178402,0.000021149504,0.0000032237995,0.000034137003,0.00017643768,0.00011543555,0.0023113557],"genre_scores_gemma":[0.99866474,0.00001626703,0.0008249102,0.0000022610577,0.0000010118317,0.000007833014,0.00012386787,0.000009828333,0.00034933223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99937624,0.00014345316,0.000031849537,0.00013083288,0.0002329363,0.00008474027],"domain_scores_gemma":[0.9993843,0.00024514014,0.00005222571,0.000102294325,0.00016713151,0.000048910802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935158,0.0004624916,0.00048545306,0.0005707113,0.0004365555,0.0007802853,0.00064719375,0.0006736847,0.0019670068],"category_scores_gemma":[0.00094141107,0.00017803248,0.0004972547,0.00065606483,0.000286454,0.00062399794,0.00048703334,0.00031973264,0.00038557095],"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":[0.0018835486,0.0010381364,0.09283498,0.000625908,0.00030353537,0.0044623986,0.0009314737,0.71126163,0.09588797,0.0013684288,0.0017661713,0.087635845],"study_design_scores_gemma":[0.000108149165,0.0036678934,0.12916248,0.000023804982,0.00015613467,0.001033331,0.0015064746,0.8041964,0.056749955,0.00058120105,0.0027362993,0.00007789127],"about_ca_topic_score_codex":0.005604097,"about_ca_topic_score_gemma":0.004665353,"teacher_disagreement_score":0.005604097,"about_ca_system_score_codex":0.0006692156,"about_ca_system_score_gemma":0.00023842006,"threshold_uncertainty_score":0.0111429095},"labels":[],"label_agreement":null},{"id":"W4210645209","doi":"10.3390/en15031111","title":"A Review of Recent Best Practices in the Development of Real-Time Power System Simulators from a Simulator Manufacturer’s Perspective","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Interfacing; Real Time Digital Simulator; Real-time simulation; Hardware-in-the-loop simulation; IEC 61850; Scope (computer science); Power system simulator for engineering; Electric power system; Simulation; Computer science; Power electronics; Distribution management system; Systems engineering; Embedded system; Engineering; Power (physics); Electrical engineering; Automation; Computer hardware; Voltage","score_opus":0.05752830442539843,"score_gpt":0.3329801564177315,"score_spread":0.2754518519923331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210645209","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":[0.00020447931,0.9963342,0.0010210826,0.00029716597,0.0002267649,0.000015631875,0.00004455163,0.0000279791,0.0018280868],"genre_scores_gemma":[0.00079602865,0.9971311,0.0012063526,0.0001715886,0.00014270007,0.000015966378,0.00007724352,0.000006115132,0.0004529058],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931216,0.00011941029,0.00014062457,0.000113821094,0.00027999707,0.000034134446],"domain_scores_gemma":[0.99715567,0.001773563,0.00027571915,0.00007865808,0.00062794186,0.000088426525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017409886,0.001130107,0.0015710038,0.004874682,0.0003454641,0.0014438857,0.0015127741,0.0012277225,0.005087103],"category_scores_gemma":[0.0029001546,0.0006587056,0.0008946613,0.006064146,0.0005084048,0.0024542033,0.00077696604,0.0015501641,0.0027399058],"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":[0.00004620353,0.000099809615,0.00025102787,0.047908403,0.000098801494,0.00015277172,0.00014801692,0.0011354113,0.001575134,0.005577065,0.021609517,0.92139786],"study_design_scores_gemma":[0.00001116547,0.00014552557,0.00076278567,0.011613625,0.00024127871,0.00077006227,0.00010863425,0.00033779512,0.00094283395,0.001743809,0.9832782,0.000044178527],"about_ca_topic_score_codex":0.0015769198,"about_ca_topic_score_gemma":0.0024124782,"teacher_disagreement_score":0.005087103,"about_ca_system_score_codex":0.0006594402,"about_ca_system_score_gemma":0.0021340237,"threshold_uncertainty_score":0.01701808},"labels":[],"label_agreement":null},{"id":"W4210686959","doi":"10.3390/en15031162","title":"Towards Integration of Two-Dimensional Hexagonal Boron Nitride (2D h-BN) in Energy Conversion and Storage Devices","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Graphene research and applications","field":"Materials Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Science Foundation Ireland; Enterprise Ireland","keywords":"Nanomaterials; Boron nitride; Nanotechnology; Energy storage; Materials science; Energy transformation; Doping; Hexagonal boron nitride; Engineering physics; Optoelectronics; Graphene; Engineering; Physics","score_opus":0.015772218911898405,"score_gpt":0.27012516072939485,"score_spread":0.25435294181749646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210686959","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20938835,0.66537106,0.0826823,0.0017876768,0.0015870454,0.00018173177,0.00040101027,0.0003884859,0.038212333],"genre_scores_gemma":[0.42061216,0.4685776,0.09844132,0.0011278543,0.000327166,0.00022418267,0.00056273286,0.00007005134,0.010056991],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999058,0.000014040068,0.0000074361933,0.000019773704,0.00003739169,0.00001549425],"domain_scores_gemma":[0.99996793,0.0000082113975,0.0000057006796,0.0000021241449,0.000010060584,0.0000059875224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027664594,0.0003968218,0.0002996875,0.000328105,0.0001303597,0.00038121632,0.00036788543,0.0005689971,0.00078642135],"category_scores_gemma":[0.00013814445,0.00021577922,0.00022611722,0.00024685106,0.00016275549,0.00083888497,0.0004818621,0.0004929176,0.00042708716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010122271,0.0000979876,0.00038006168,0.0033163342,0.00004502693,0.000506553,0.00014856359,0.0025507668,0.83891785,0.01608109,0.0019917826,0.13586283],"study_design_scores_gemma":[0.00004402674,0.0007795912,0.0020054886,0.0005837,0.00009355415,0.0015101193,0.00017547862,0.01050063,0.71291137,0.0066921823,0.26462406,0.00007977247],"about_ca_topic_score_codex":0.00029838286,"about_ca_topic_score_gemma":0.00090207695,"teacher_disagreement_score":0.00078642135,"about_ca_system_score_codex":0.0002817207,"about_ca_system_score_gemma":0.00022304176,"threshold_uncertainty_score":0.0026308298},"labels":[],"label_agreement":null},{"id":"W4210696038","doi":"10.3390/en15030960","title":"A Redesign Methodology to Improve the Performance of a Thermal Energy Storage with Phase Change Materials: A Numerical Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Secretaría Nacional de Ciencia, Tecnología e Innovación","keywords":"Thermal energy storage; Phase-change material; Heat exchanger; Process engineering; Phase change; Thermal; Environmental science; Energy storage; Thermal energy; Thermal conductivity; Efficient energy use; Nuclear engineering; Materials science; Computer science; Mechanical engineering; Engineering; Meteorology; Thermodynamics; Electrical engineering; Engineering physics; Composite material","score_opus":0.09617033932353038,"score_gpt":0.30306252339066647,"score_spread":0.2068921840671361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210696038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15958774,0.00061382377,0.8252549,0.00028149024,0.00016185154,0.00035798136,0.00014641382,0.0008897142,0.012706086],"genre_scores_gemma":[0.6056113,0.00040597207,0.39032745,0.0000478154,0.000015968677,0.00038408575,0.00011371639,0.00009444599,0.002999317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999846,0.000022416509,0.000008808268,0.000024073817,0.000076304015,0.000022364278],"domain_scores_gemma":[0.9998103,0.000064079504,0.00002888317,0.000028533332,0.000060941624,0.0000074173236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043439938,0.00051719777,0.00045626872,0.0004341274,0.00035351593,0.0005439584,0.0007233491,0.0006155478,0.0019444858],"category_scores_gemma":[0.00082651665,0.00033963253,0.0006287142,0.00028932965,0.00041032053,0.00049399235,0.00034419447,0.00058907375,0.00031719985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008149639,0.00015888919,0.0012289246,0.00048513425,0.000031531985,0.000187723,0.0001330219,0.8305212,0.09603224,0.011193509,0.00062500744,0.059321363],"study_design_scores_gemma":[0.000013441036,0.00010992891,0.00016599198,0.000013406343,0.000011782099,0.00003898595,0.000022865455,0.9846836,0.011529563,0.00089025946,0.002510387,0.000009788657],"about_ca_topic_score_codex":0.0020480051,"about_ca_topic_score_gemma":0.0020097329,"teacher_disagreement_score":0.0020480051,"about_ca_system_score_codex":0.00051035034,"about_ca_system_score_gemma":0.0007382945,"threshold_uncertainty_score":0.006504953},"labels":[],"label_agreement":null},{"id":"W4210730391","doi":"10.3390/en15030974","title":"Reply to Fthenakis et al. Comment on “Seibert, M.K.; Rees, W.E. Through the Eye of a Needle: An Eco-Heterodox Perspective on the Renewable Energy Transition. Energies 2021, 14, 4508”","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rebuttal; Perspective (graphical); Energy (signal processing); Philosophy; Physics; Political science; Quantum mechanics; Law; Computer science","score_opus":0.017218035090285265,"score_gpt":0.28748427697683016,"score_spread":0.2702662418865449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210730391","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008135328,0.00050354446,0.000054103377,0.9776474,0.020974252,0.0000056635567,0.00006325506,0.00003167524,0.0006387384],"genre_scores_gemma":[0.00087702926,0.00031193986,0.000067945395,0.9828767,0.012395314,0.000022383374,0.0000242067,0.000039022038,0.0033854633],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99121195,0.0015382312,0.0006990036,0.0014488513,0.0037798393,0.0013220721],"domain_scores_gemma":[0.9767114,0.0105061,0.0013979612,0.0006769708,0.007880965,0.0028264974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010159012,0.0012884757,0.001801678,0.0013455176,0.008654587,0.0072325203,0.0050620753,0.06413298,0.014882114],"category_scores_gemma":[0.05002691,0.0012756123,0.001838374,0.0014264577,0.00725775,0.0077555003,0.0045573423,0.07749703,0.01205483],"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":[0.000010335197,0.000004194528,0.000056926314,0.000016521788,0.0000028003094,0.00005644524,0.00015394045,0.00000889224,0.00002787346,0.00068283046,0.9981396,0.0008395555],"study_design_scores_gemma":[0.000039595645,0.000021887281,0.0007887432,0.0002669205,0.000022694581,0.00022606892,0.0013255667,0.000103472674,0.0003445552,0.0045502526,0.9922273,0.00008289284],"about_ca_topic_score_codex":0.023576139,"about_ca_topic_score_gemma":0.033409674,"teacher_disagreement_score":0.06413298,"about_ca_system_score_codex":0.007257495,"about_ca_system_score_gemma":0.012777622,"threshold_uncertainty_score":0.053726673},"labels":[],"label_agreement":null},{"id":"W4210768319","doi":"10.3390/en15031141","title":"Investigating the Impact of Plumbing Configuration on Energy Savings for Falling-Film Drain Water Heat Recovery Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Solar-Powered Water Purification Methods","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":"University of Waterloo","funders":"","keywords":"TRNSYS; Heat exchanger; Work (physics); Heat recovery ventilation; Energy recovery; Electricity; Transient (computer programming); Environmental science; Energy (signal processing); Nuclear engineering; Engineering; Process engineering; Mechanical engineering; Computer science; Electrical engineering","score_opus":0.0316603515658567,"score_gpt":0.28519172277955906,"score_spread":0.2535313712137024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210768319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598867,0.00012830818,0.0019054948,0.000026989463,0.0000093443405,0.000020362262,0.00012679436,0.00005279827,0.0017412492],"genre_scores_gemma":[0.9981402,0.000071031354,0.0010443906,0.0000052575133,0.0000012650456,0.000007391697,0.00008010389,0.000011780097,0.0006385309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980515,0.000047948204,0.0000114825525,0.00003567043,0.00005594103,0.000043865675],"domain_scores_gemma":[0.99965394,0.00019980333,0.000028017845,0.00002645915,0.00007672371,0.000015030892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033481792,0.00046924505,0.0003457041,0.0003849229,0.00029820003,0.0005095947,0.000352016,0.00033360557,0.0025135763],"category_scores_gemma":[0.00074293854,0.00018088988,0.00044213142,0.00046583096,0.00014964635,0.0007436986,0.00026996466,0.00026310934,0.0002867182],"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":[0.0023564526,0.0009537605,0.023356972,0.000674568,0.00012534011,0.00043611988,0.0001636484,0.70999557,0.18102299,0.0008171853,0.001003311,0.079094075],"study_design_scores_gemma":[0.00008643031,0.005252916,0.042823184,0.000040125924,0.00021834725,0.00012794639,0.000652293,0.6803821,0.26689306,0.00054196094,0.0029127493,0.000068900634],"about_ca_topic_score_codex":0.0036234548,"about_ca_topic_score_gemma":0.0058288365,"teacher_disagreement_score":0.0036234548,"about_ca_system_score_codex":0.0004616602,"about_ca_system_score_gemma":0.00024611503,"threshold_uncertainty_score":0.008408785},"labels":[],"label_agreement":null},{"id":"W4210776654","doi":"10.3390/en15031185","title":"A Convolutional Neural Network Approach for Estimation of Li-Ion Battery State of Health from Charge Profiles","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Nvidia","keywords":"State of charge; Battery (electricity); Convolutional neural network; Computer science; Range (aeronautics); Voltage; State of health; Noise (video); Power (physics); Artificial neural network; Artificial intelligence; Algorithm; Real-time computing; Electrical engineering; Engineering; Physics","score_opus":0.02336942800946794,"score_gpt":0.26206953440424224,"score_spread":0.2387001063947743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210776654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11353051,0.0009773618,0.87967396,0.00024478324,0.00010794148,0.00005374569,0.0004151207,0.0013807565,0.0036157803],"genre_scores_gemma":[0.9294768,0.0003771884,0.06475803,0.0000934362,0.000034603985,0.000050701987,0.0005585906,0.000030606312,0.004620177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999205,0.000006557546,0.000004642136,0.00002746764,0.000023681681,0.000017147779],"domain_scores_gemma":[0.99988675,0.000027112541,0.000015230049,0.000012195501,0.000053423893,0.000005329929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023006386,0.000476048,0.00022995792,0.00033191626,0.00014389853,0.00031347026,0.0005777736,0.000373354,0.00076770596],"category_scores_gemma":[0.0006987866,0.0001904629,0.00024818254,0.00030232014,0.0001489488,0.00045704813,0.00032605694,0.0004600427,0.00019841413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016498416,0.000084858075,0.0053506866,0.00007476945,0.000093391965,0.00013930499,0.000047874175,0.68477464,0.024744367,0.0035272862,0.00207585,0.2789219],"study_design_scores_gemma":[0.0000013510305,0.000010684856,0.0007551742,0.0000033258952,0.00000749352,0.0000151182685,0.000003295497,0.9951024,0.003166418,0.0005747443,0.0003561354,0.000003820838],"about_ca_topic_score_codex":0.016794063,"about_ca_topic_score_gemma":0.020575598,"teacher_disagreement_score":0.016794063,"about_ca_system_score_codex":0.00073779584,"about_ca_system_score_gemma":0.00055023364,"threshold_uncertainty_score":0.03339261},"labels":[],"label_agreement":null},{"id":"W4210797778","doi":"10.3390/en15030970","title":"Reply to Diesendorf, M. Comment on “Seibert, M.K.; Rees, W.E. Through the Eye of a Needle: An Eco-Heterodox Perspective on the Renewable Energy Transition. Energies 2021, 14, 4508”","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Renewable energy; Perspective (graphical); Physics; Chemistry; Engineering physics; Engineering; Computer science; Electrical engineering","score_opus":0.010873370644061327,"score_gpt":0.23569770792856976,"score_spread":0.22482433728450843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210797778","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000105914834,0.0024391168,0.00006383691,0.9664041,0.030083383,0.000010544412,0.00013595558,0.000041466723,0.00071563834],"genre_scores_gemma":[0.00064581743,0.0006638499,0.00008587219,0.98468184,0.011096886,0.000026546868,0.00003344927,0.00002552812,0.0027402635],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937686,0.0011314501,0.0007661036,0.001176251,0.0024074598,0.000750174],"domain_scores_gemma":[0.9781813,0.010997136,0.0015516488,0.0004726218,0.0063610435,0.002436107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009811666,0.001585661,0.0021631091,0.0016913764,0.0069539766,0.0049376455,0.0045481706,0.055464704,0.011268443],"category_scores_gemma":[0.04135455,0.0017472378,0.0021848371,0.0017676111,0.005163744,0.00702761,0.0033864295,0.058269333,0.012423644],"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":[0.00001500808,0.0000042962847,0.000073675925,0.00003166092,0.0000051906422,0.000061350256,0.00009326469,0.000007792137,0.00003694208,0.00038508908,0.9983291,0.0009565918],"study_design_scores_gemma":[0.00004070665,0.000027304455,0.0014247707,0.00027714306,0.000025963955,0.00022556745,0.0004988237,0.00006532574,0.00029587658,0.0018205044,0.99522626,0.00007162775],"about_ca_topic_score_codex":0.036059774,"about_ca_topic_score_gemma":0.051801633,"teacher_disagreement_score":0.055464704,"about_ca_system_score_codex":0.0067282645,"about_ca_system_score_gemma":0.00966865,"threshold_uncertainty_score":0.07169974},"labels":[],"label_agreement":null},{"id":"W4210811620","doi":"10.3390/en15031081","title":"An Assessment of the Net Fluid Balance in the Alberta Basin","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Energy; University of Waterloo; University of Alberta","funders":"","keywords":"Precambrian; Geology; Structural basin; Induced seismicity; Basement; Balance (ability); Hydrology (agriculture); Geochemistry; Geomorphology; Seismology; Geotechnical engineering; Geography","score_opus":0.006669751900991935,"score_gpt":0.24371959561839085,"score_spread":0.2370498437173989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210811620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853564,0.0005528805,0.00084701716,0.00014134201,0.000007539251,0.000025827585,0.0015593842,0.000049364484,0.011460289],"genre_scores_gemma":[0.99519855,0.00047785215,0.0009762869,0.00001797287,0.0000042635197,0.0000067457236,0.0007228945,0.0000072032685,0.0025882232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984133,0.0000090093545,0.0000053233016,0.0000134650445,0.00010507575,0.000025655132],"domain_scores_gemma":[0.9998398,0.000009040894,0.000019476478,0.0000036991826,0.000098971424,0.000029075965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000252952,0.00033747312,0.00015009122,0.0022625441,0.00069613016,0.0009989548,0.00037854875,0.00023853603,0.0008799893],"category_scores_gemma":[0.00030115852,0.00012180968,0.00019387752,0.0020110235,0.0004318908,0.00034700424,0.0004858044,0.00013341925,0.00011038264],"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":[0.0006079962,0.000110393674,0.7943235,0.0002315877,0.00024205043,0.0012463534,0.0008685413,0.07477394,0.03435285,0.0031098276,0.0019683207,0.088164695],"study_design_scores_gemma":[0.000017860051,0.00007403746,0.9515145,0.000039534425,0.00006704604,0.000121333156,0.0012834638,0.031041197,0.005219075,0.0007717052,0.009809251,0.000040973242],"about_ca_topic_score_codex":0.77945054,"about_ca_topic_score_gemma":0.8935251,"teacher_disagreement_score":0.22054946,"about_ca_system_score_codex":0.0064055384,"about_ca_system_score_gemma":0.004228942,"threshold_uncertainty_score":0.44369662},"labels":[],"label_agreement":null},{"id":"W4210919327","doi":"10.3390/en15031197","title":"Estimating of Non-Darcy Flow Coefficient in Artificial Porous Media","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Darcy's law; Permeability (electromagnetism); Darcy number; Porous medium; Mechanics; Pressure drop; Flow coefficient; Inertia; Volumetric flow rate; Turbulence; Materials science; Mathematics; Porosity; Chemistry; Reynolds number; Physics; Classical mechanics; Composite material","score_opus":0.010540957109682409,"score_gpt":0.21827052456457147,"score_spread":0.20772956745488905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210919327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694064,0.00041467673,0.029616829,0.000013325911,0.000011100361,0.000033218952,0.000043681062,0.000043361888,0.00041735356],"genre_scores_gemma":[0.98304063,0.00029051348,0.016329935,0.000009523008,0.000005039422,0.000042957654,0.000060255836,0.000008828711,0.00021239526],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958426,0.00008356538,0.000028767436,0.00007934706,0.00018086204,0.00004328845],"domain_scores_gemma":[0.99878937,0.0005293687,0.0002534712,0.00005214681,0.0003343976,0.000041162664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087956345,0.0003014518,0.0003633037,0.0007264336,0.00020082772,0.0003314786,0.00022565977,0.00023765795,0.00019583278],"category_scores_gemma":[0.0018753285,0.00015712778,0.00021702959,0.0002914209,0.00043571988,0.0005189036,0.00026577833,0.00032017066,0.000049770602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009669736,0.000045885165,0.0054327706,0.00013069721,0.000012075667,0.000062092804,0.00008263308,0.0032624907,0.982431,0.00035656866,0.000025625159,0.008061431],"study_design_scores_gemma":[0.000015748936,0.0004715685,0.0328255,0.000019622348,0.000034860994,0.00018273486,0.00009294865,0.06352976,0.90171105,0.00028095618,0.0007911035,0.00004411249],"about_ca_topic_score_codex":0.0005088632,"about_ca_topic_score_gemma":0.00058134255,"teacher_disagreement_score":0.00087956345,"about_ca_system_score_codex":0.00019491327,"about_ca_system_score_gemma":0.00019850665,"threshold_uncertainty_score":0.0046516657},"labels":[],"label_agreement":null},{"id":"W4211093593","doi":"10.3390/en15031221","title":"Atmospheric Dispersion of Gaseous Amine Emitted from Absorption-Based Carbon Capture Plants in Saskatchewan, Canada","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Chulalongkorn University; University of Regina","keywords":"Amine gas treating; Environmental science; Atmosphere (unit); Dispersion (optics); Atmospheric dispersion modeling; Carbon dioxide; Air pollution; Carbon capture and storage (timeline); Environmental engineering; Power station; Environmental chemistry; Chemistry; Meteorology; Climate change; Geology; Engineering; Organic chemistry","score_opus":0.0028432804000612655,"score_gpt":0.1511266042132703,"score_spread":0.14828332381320902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211093593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290633,0.00010742051,0.00037677574,0.000071079616,0.000008199714,0.00005510871,0.0023512847,0.000037906197,0.004085878],"genre_scores_gemma":[0.994885,0.00017158556,0.0006122388,0.000037868675,0.0000021816704,0.000023608602,0.0017479474,0.0000066150074,0.0025129693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997428,0.000014119694,0.000012369042,0.00007895013,0.00008561615,0.00006615784],"domain_scores_gemma":[0.999713,0.00003441708,0.000019488443,0.000010932714,0.00018590516,0.000036192043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016187284,0.0004443452,0.00024046972,0.0006221475,0.0015666874,0.00089197623,0.0005307824,0.00045478105,0.0013180521],"category_scores_gemma":[0.00020377155,0.00022968317,0.0003686114,0.0013880995,0.00036646795,0.00029920755,0.00039332258,0.00044332558,0.000272034],"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":[0.0004279285,0.00035607658,0.8819048,0.00027011384,0.00027766044,0.002725714,0.0014575114,0.03845993,0.039183952,0.00080564496,0.0041343737,0.02999621],"study_design_scores_gemma":[0.000042797943,0.00012274928,0.9472187,0.00004529625,0.00006365853,0.00016246182,0.0032350384,0.03916031,0.00639982,0.0001447136,0.0033101954,0.00009421275],"about_ca_topic_score_codex":0.9794312,"about_ca_topic_score_gemma":0.989047,"teacher_disagreement_score":0.020568788,"about_ca_system_score_codex":0.012630663,"about_ca_system_score_gemma":0.011357484,"threshold_uncertainty_score":0.09164226},"labels":[],"label_agreement":null},{"id":"W4211217734","doi":"10.3390/en15031234","title":"State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles under Dynamic Load Conditions","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"State of health; State of charge; Computer science; Control theory (sociology); Nonlinear system; Artificial neural network; Classifier (UML); Voltage; Equivalent circuit; Battery (electricity); Engineering; Artificial intelligence; Power (physics); Electrical engineering","score_opus":0.011707942481382986,"score_gpt":0.2804423582623635,"score_spread":0.26873441578098056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211217734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87644666,0.0006217086,0.11544487,0.00016117674,0.000056946457,0.000049307124,0.00037985545,0.0013808921,0.0054585272],"genre_scores_gemma":[0.99749005,0.00008085835,0.0018026114,0.000011892431,0.0000031967104,0.000013189331,0.00010317794,0.0000074495347,0.00048756797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987066,0.000016684351,0.000010674748,0.000034629287,0.00005384229,0.000013397907],"domain_scores_gemma":[0.9997974,0.000061546394,0.000031992455,0.00002006984,0.000082175524,0.000006990391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020383508,0.00045430224,0.00031664665,0.00047538892,0.00020726639,0.0005141478,0.00040982093,0.00035529718,0.0006352536],"category_scores_gemma":[0.00073846936,0.00015697518,0.00019423166,0.00024474633,0.0001556834,0.0005547855,0.0002776953,0.00022903846,0.00029100556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008163869,0.00028545634,0.059822008,0.00031926145,0.000094860035,0.000513477,0.00041434626,0.54246277,0.09903296,0.00083310425,0.0020088125,0.29339656],"study_design_scores_gemma":[0.0000064422115,0.0000888162,0.011581597,0.000015554946,0.000013089425,0.00006294325,0.000076566765,0.95933914,0.027744595,0.00048440674,0.0005680831,0.000018733488],"about_ca_topic_score_codex":0.00442759,"about_ca_topic_score_gemma":0.0046393946,"teacher_disagreement_score":0.00442759,"about_ca_system_score_codex":0.00044224798,"about_ca_system_score_gemma":0.00023059773,"threshold_uncertainty_score":0.008803606},"labels":[],"label_agreement":null},{"id":"W4212785359","doi":"10.3390/en15041579","title":"Electrochemical Cells and Storage Technologies to Increase Renewable Energy Share in Cold Climate Conditions—A Critical Assessment","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced battery technologies research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Energy storage; Renewable energy; Environmental science; Electrolyte; Process engineering; Electrochemistry; Cold storage; Materials science; Electrical engineering; Engineering; Power (physics); Electrode; Chemistry; Thermodynamics","score_opus":0.007671938289564702,"score_gpt":0.26819394832143434,"score_spread":0.26052201003186964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212785359","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":[0.07023359,0.77035344,0.08882895,0.007218382,0.0023184728,0.00020373773,0.00075262616,0.00036432542,0.05972645],"genre_scores_gemma":[0.28369159,0.62658244,0.05363123,0.0013772354,0.001022592,0.00013117312,0.00061430346,0.00011291773,0.03283647],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994875,0.000044939025,0.000040502964,0.00006589684,0.00031986154,0.000041196312],"domain_scores_gemma":[0.99951327,0.00009806323,0.0000520724,0.00002548662,0.0002881332,0.000023034072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011658,0.00047924012,0.0007341925,0.0013074826,0.0005432749,0.0020150228,0.0008261585,0.00090317137,0.0018397814],"category_scores_gemma":[0.0006992712,0.00027341544,0.00041198652,0.0019968809,0.0004731425,0.002417956,0.00069484,0.001208136,0.00092728646],"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":[0.00015184887,0.00017066431,0.0031193923,0.0069701597,0.00012777072,0.00048741276,0.00040456865,0.00625859,0.2643219,0.050705627,0.010634496,0.6566476],"study_design_scores_gemma":[0.000017668404,0.000615479,0.00567354,0.0017192166,0.00017815955,0.0016804716,0.00096514344,0.005853299,0.3463472,0.016434643,0.62037355,0.00014162742],"about_ca_topic_score_codex":0.0025695735,"about_ca_topic_score_gemma":0.006535372,"teacher_disagreement_score":0.0025695735,"about_ca_system_score_codex":0.0010173658,"about_ca_system_score_gemma":0.0009979835,"threshold_uncertainty_score":0.007381499},"labels":[],"label_agreement":null},{"id":"W4213037965","doi":"10.3390/en15041561","title":"Bioremediation of Agriculture Soil Contaminated by Organic Pollutants","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental chemistry; Environmental science; Pollutant; Soil contamination; Bioremediation; Contamination; Organic matter; Soil water; Pollution; Environmental engineering; Chemistry; Soil science","score_opus":0.0023338787045437213,"score_gpt":0.1581637814800794,"score_spread":0.15582990277553568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213037965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973744,0.0005368534,0.0005731402,0.000024582972,0.00002278061,0.000071034076,0.00017229286,0.00002260372,0.0012021242],"genre_scores_gemma":[0.9919884,0.0013490376,0.0029956466,0.00005350344,0.000014829341,0.00006279501,0.0004777192,0.000009706065,0.0030484456],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996581,0.000039245104,0.00002109319,0.00008925413,0.000113902424,0.00007837834],"domain_scores_gemma":[0.99986887,0.000011238186,0.000040810162,0.000009638498,0.000045923058,0.000023581815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025141632,0.000737941,0.00052489573,0.0005090369,0.00033053473,0.00043978484,0.000333493,0.00026560278,0.00044372407],"category_scores_gemma":[0.00013250564,0.00015930302,0.00040521342,0.00031044384,0.00020938819,0.00017543115,0.00048057496,0.00030687495,0.00015739484],"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":[0.00015081908,0.00011774289,0.0011171807,0.000105382525,0.000012488987,0.000054975706,0.000027653436,0.00016207925,0.99326456,0.000015282545,0.000033941466,0.0049379854],"study_design_scores_gemma":[0.000013704594,0.0017192411,0.014352386,0.000021634376,0.000033822776,0.00009750304,0.000099164,0.0004972743,0.9813368,0.000021415122,0.0017987646,0.000008416392],"about_ca_topic_score_codex":0.0056574293,"about_ca_topic_score_gemma":0.009471078,"teacher_disagreement_score":0.0056574293,"about_ca_system_score_codex":0.00051307835,"about_ca_system_score_gemma":0.0006319514,"threshold_uncertainty_score":0.011249006},"labels":[],"label_agreement":null},{"id":"W4213159573","doi":"10.3390/en15041583","title":"Impacts of COVID-19 on Energy Expenditures of Local Self-Government Units in Poland","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Quarter (Canadian coin); Business; Consumption (sociology); Government (linguistics); Local government; Public economics; Coronavirus disease 2019 (COVID-19); Economics; Agricultural economics; Demographic economics; Finance; Geography","score_opus":0.01989483030894051,"score_gpt":0.28083304440379375,"score_spread":0.26093821409485324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213159573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977763,0.00010888444,0.00004936529,0.00013295989,0.0000029321598,0.000010945011,0.000450566,0.000005831624,0.0014622263],"genre_scores_gemma":[0.9986798,0.00019257066,0.00006992803,0.00001846366,0.0000024325227,0.0000073312704,0.00042251425,0.0000039531856,0.0006031066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938726,0.000108235254,0.000057200694,0.00006614793,0.00015328839,0.00022782752],"domain_scores_gemma":[0.9991358,0.000093983166,0.00041874137,0.0000433834,0.00017399363,0.00013406607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044889227,0.00016941059,0.00024072481,0.0008097135,0.00028746598,0.0009484129,0.00029304827,0.00025406916,0.0018628095],"category_scores_gemma":[0.0017354739,0.00013258273,0.00038283112,0.0014066905,0.0003021101,0.00046999953,0.0012809486,0.0003727052,0.00016925528],"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":[0.0005644554,0.00019932551,0.9484153,0.00026522286,0.00018310387,0.0019440356,0.0018302149,0.006518256,0.0025507167,0.0016344098,0.0021908553,0.03370412],"study_design_scores_gemma":[0.0000045028037,0.00006645083,0.99393207,0.000028176257,0.000017131848,0.000099640885,0.0023146067,0.0013690991,0.0002730888,0.000103546714,0.0017838487,0.000007904733],"about_ca_topic_score_codex":0.059800394,"about_ca_topic_score_gemma":0.08398902,"teacher_disagreement_score":0.059800394,"about_ca_system_score_codex":0.0022867937,"about_ca_system_score_gemma":0.0012563786,"threshold_uncertainty_score":0.11890459},"labels":[],"label_agreement":null},{"id":"W4213374262","doi":"10.3390/en15041526","title":"The Impact of Water Hammer on Hydraulic Power Units","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Water Systems and Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Hydro-Québec","funders":"","keywords":"Water hammer; Overpressure; Hydropower; Closure (psychology); Hydraulic machinery; Hydraulic structure; Transient (computer programming); Hydraulics; Environmental science; Engineering; Mechanics; Geotechnical engineering; Computer science; Mechanical engineering","score_opus":0.007770794926285383,"score_gpt":0.1921939917607903,"score_spread":0.18442319683450492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213374262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9596147,0.003990482,0.023422088,0.00018084308,0.00007690832,0.0000656165,0.0003033185,0.00029485064,0.012051263],"genre_scores_gemma":[0.9970126,0.0010874346,0.0009399083,0.000014080302,0.000012501193,0.0000083521345,0.00006925996,0.000014603129,0.0008412854],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988998,0.0002076001,0.00006999047,0.00012618222,0.00060084724,0.000095450654],"domain_scores_gemma":[0.9980259,0.0012827382,0.0002951502,0.0000845617,0.0002598962,0.000051874158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000798249,0.00038835124,0.0003993587,0.00089936284,0.00033613943,0.0010705558,0.00059066457,0.0006518976,0.0018118728],"category_scores_gemma":[0.0033437824,0.0002457197,0.0002850278,0.0010019682,0.0007140365,0.0013433415,0.0006870823,0.0003609608,0.00037615027],"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":[0.000837674,0.00016161446,0.07676115,0.0036264888,0.00017243471,0.006063503,0.0011819283,0.30344138,0.10031279,0.005079485,0.002737707,0.49962384],"study_design_scores_gemma":[0.00006786354,0.005054327,0.3601746,0.0010727905,0.0004903772,0.0029495717,0.005609346,0.3420084,0.24545503,0.010818545,0.025951711,0.0003474454],"about_ca_topic_score_codex":0.0018975305,"about_ca_topic_score_gemma":0.0028685562,"teacher_disagreement_score":0.0018975305,"about_ca_system_score_codex":0.00072498294,"about_ca_system_score_gemma":0.0004131487,"threshold_uncertainty_score":0.006061256},"labels":[],"label_agreement":null},{"id":"W4213423244","doi":"10.3390/en15051677","title":"Self-Healing Silicones for Outdoor High Voltage Insulation: Mechanism, Applications and Measurements","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","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":"National Research Council Canada; University of Waterloo","funders":"","keywords":"Silicone rubber; Materials science; Composite material; Self-healing; Natural rubber; Silicone; Elastomer","score_opus":0.023223239046357654,"score_gpt":0.24672563122988778,"score_spread":0.22350239218353013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213423244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89374495,0.022712672,0.0717115,0.00028207956,0.00015679697,0.00019562348,0.00038758654,0.00059360004,0.010215163],"genre_scores_gemma":[0.96227235,0.009020201,0.024195569,0.00005285554,0.00005475128,0.00006498299,0.00016045343,0.000034422566,0.004144379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999711,0.00004040965,0.000011696015,0.00004564377,0.0001626547,0.000028547294],"domain_scores_gemma":[0.9997174,0.0001020355,0.00006301524,0.000042831387,0.00006000681,0.000014617019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005569036,0.000356209,0.00020061241,0.00042439825,0.00022921477,0.00031016013,0.00044912167,0.0004866224,0.0013958719],"category_scores_gemma":[0.00041911218,0.00020882873,0.00020688452,0.00038444818,0.0003438721,0.00090565573,0.00023742646,0.00053639576,0.00039795312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007883974,0.000054545893,0.0005284967,0.00031256693,0.0000043812324,0.00006063566,0.00009428237,0.00041113858,0.98057896,0.0006876784,0.000104326835,0.017084237],"study_design_scores_gemma":[0.0000029585647,0.00023045171,0.0009189349,0.000009533928,0.000004381082,0.00015386043,0.000049612143,0.0011464121,0.99481225,0.00012081619,0.0025434105,0.0000073225597],"about_ca_topic_score_codex":0.00014053678,"about_ca_topic_score_gemma":0.00017128517,"teacher_disagreement_score":0.0013958719,"about_ca_system_score_codex":0.00025488852,"about_ca_system_score_gemma":0.000121701465,"threshold_uncertainty_score":0.0046696663},"labels":[],"label_agreement":null},{"id":"W4213436175","doi":"10.3390/en15051691","title":"Detection and Diagnosis of Dependent Faults That Trigger False Symptoms of Heating and Mechanical Ventilation Systems Using Combined Machine Learning and Rule-Based Techniques","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Gina Cody School of Engineering and Computer Science, Concordia University","keywords":"HVAC; Fault detection and isolation; Support vector machine; Fault (geology); Artificial neural network; Residual; Indoor air quality; Computer science; Artificial intelligence; Engineering; Reliability engineering; Air conditioning; Control engineering; Algorithm","score_opus":0.008804125185583805,"score_gpt":0.20687282792915337,"score_spread":0.19806870274356958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213436175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44372058,0.0006483516,0.55136865,0.00017280235,0.00008777715,0.000081737446,0.00015718806,0.001770102,0.0019929388],"genre_scores_gemma":[0.9708373,0.00006488409,0.028673345,0.000016840655,0.0000095166315,0.000013418477,0.000065289714,0.000008015626,0.0003114029],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938333,0.00009665683,0.00005854767,0.00014950783,0.00025087135,0.000061091996],"domain_scores_gemma":[0.99872524,0.00053144316,0.00025948696,0.00013388324,0.0003046827,0.000045150508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006102072,0.0005940789,0.0005831103,0.0008304038,0.00014296264,0.0006437451,0.0005854345,0.000814544,0.0003579717],"category_scores_gemma":[0.0027209893,0.000238897,0.00040520896,0.00032801586,0.00020111036,0.0005049452,0.00029860172,0.00045790806,0.0001320649],"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":[0.00089935306,0.00059912086,0.05724268,0.00046893983,0.00039096564,0.0018794346,0.00032090535,0.3001628,0.120091885,0.001712384,0.001651932,0.51457953],"study_design_scores_gemma":[0.000017858938,0.00024728433,0.011749326,0.00002148354,0.0000629325,0.0003626278,0.000048699203,0.9610286,0.025234746,0.0007463349,0.0004613156,0.000018890269],"about_ca_topic_score_codex":0.0016636384,"about_ca_topic_score_gemma":0.002093951,"teacher_disagreement_score":0.0016636384,"about_ca_system_score_codex":0.00026066342,"about_ca_system_score_gemma":0.000338623,"threshold_uncertainty_score":0.003307879},"labels":[],"label_agreement":null},{"id":"W4214489832","doi":"10.3390/en15051609","title":"Nickel-Based Electrocatalysts for Water Electrolysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Electrolysis; Hydrogen production; Electrolysis of water; Nickel; Water splitting; Oxygen evolution; Heteroatom; Energy carrier; Electrolytic process; Process engineering; Nanotechnology; Electrochemistry; Hydrogen; Environmental science; Materials science; Chemistry; Catalysis; Metallurgy; Engineering","score_opus":0.006816673230460811,"score_gpt":0.2100726075232635,"score_spread":0.2032559342928027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214489832","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009655088,0.9512125,0.010174065,0.0008993358,0.0010725897,0.00007048225,0.0001417005,0.00013964738,0.02663451],"genre_scores_gemma":[0.06521982,0.9093754,0.0080904355,0.00047864916,0.0004259582,0.00008393791,0.00027230295,0.000041100117,0.016012492],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996824,0.000022929864,0.000026306248,0.000064491294,0.00017626476,0.000027547452],"domain_scores_gemma":[0.9999347,0.000019088633,0.000010620818,0.0000055625096,0.000023733362,0.0000063085618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026997985,0.000715955,0.0005748207,0.001219227,0.00028669578,0.0006554717,0.0005949793,0.0008113072,0.0017278387],"category_scores_gemma":[0.00024261884,0.00038933323,0.00036211335,0.0015235374,0.00035152488,0.0010544469,0.0004902352,0.0014014989,0.0015471035],"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":[0.00009022616,0.0003321648,0.0005007879,0.020278499,0.00013199676,0.0008463536,0.00022498672,0.0025394557,0.40099725,0.05000179,0.02739574,0.49666086],"study_design_scores_gemma":[0.00001256013,0.00015300757,0.0007873207,0.0006016852,0.0000554439,0.0010748772,0.00006843431,0.0018020885,0.12354913,0.004822133,0.86702526,0.000048212223],"about_ca_topic_score_codex":0.00079579063,"about_ca_topic_score_gemma":0.0022257206,"teacher_disagreement_score":0.0017278387,"about_ca_system_score_codex":0.00059365155,"about_ca_system_score_gemma":0.00035088506,"threshold_uncertainty_score":0.00578022},"labels":[],"label_agreement":null},{"id":"W4214490675","doi":"10.3390/en15051741","title":"Towards a Rigorous Consideration of Occupant Behaviours of Residential Households for Effective Electrical Energy Savings: An Overview","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Department of Education and Knowledge; United Arab Emirates University; Advanced Technology Research Council","keywords":"Energy (signal processing); Computer science; Categorization; Work (physics); Risk analysis (engineering); Architectural engineering; Data science; Artificial intelligence; Business; Engineering","score_opus":0.01780314023986454,"score_gpt":0.2544068691783624,"score_spread":0.23660372893849788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214490675","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":[0.07850256,0.5724295,0.26591584,0.021500062,0.0009752649,0.00083654514,0.002419322,0.00039032364,0.05703071],"genre_scores_gemma":[0.41880313,0.3911235,0.17678687,0.002587936,0.0014784175,0.0009514712,0.0022969425,0.000100337034,0.00587138],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99575645,0.001898552,0.0005310819,0.0004389115,0.0011722329,0.00020282378],"domain_scores_gemma":[0.99034345,0.005805838,0.0008581916,0.0004345082,0.0023773115,0.0001806926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005889131,0.0008939629,0.0010529226,0.012226235,0.00086325576,0.005128123,0.0010309505,0.0017275623,0.002135537],"category_scores_gemma":[0.009086313,0.00048525597,0.0014498947,0.008105115,0.0013969889,0.005722634,0.0017886236,0.0012333725,0.0006952315],"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":[0.000094922834,0.00045688014,0.06273817,0.023160495,0.00040008928,0.00067284406,0.0076858546,0.0067251795,0.0062593683,0.17705595,0.013883871,0.7008664],"study_design_scores_gemma":[0.000020726919,0.0006639769,0.17950101,0.042243645,0.0009687317,0.0023166263,0.02806451,0.03301336,0.0056475555,0.15064153,0.55661005,0.00030830535],"about_ca_topic_score_codex":0.0076374924,"about_ca_topic_score_gemma":0.008199093,"teacher_disagreement_score":0.012226235,"about_ca_system_score_codex":0.0022043062,"about_ca_system_score_gemma":0.0047947257,"threshold_uncertainty_score":0.031145096},"labels":[],"label_agreement":null},{"id":"W4214534861","doi":"10.3390/en15051813","title":"Increasing Density of 3D-Printed Sandstone through Compaction","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","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; Consejo Nacional de Ciencia y Tecnología","keywords":"Compaction; Porosity; Geotechnical engineering; Geology; Permeability (electromagnetism); Compressive strength; Porous medium; Cement; Petroleum engineering; Mineralogy; Materials science; Composite material","score_opus":0.008844621064453086,"score_gpt":0.19937555125848833,"score_spread":0.19053093019403525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214534861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889059,0.00016742757,0.006952883,0.00002695321,0.000025789102,0.000014789253,0.00025555718,0.00051432516,0.003136336],"genre_scores_gemma":[0.99362445,0.000087558925,0.004550565,0.000024988203,0.0000028499387,0.000010045571,0.00014523951,0.000049460275,0.0015047771],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998344,0.000012509214,0.000015849362,0.00003897313,0.00007208131,0.00002611698],"domain_scores_gemma":[0.9995485,0.00013552394,0.00009392064,0.000096293064,0.00008464421,0.00004114542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001813861,0.00020240116,0.0001428023,0.00047067655,0.000115490046,0.00052391924,0.00020966488,0.0002294962,0.0019891027],"category_scores_gemma":[0.0006073837,0.00020914995,0.00018011747,0.00030649925,0.00029497175,0.00033503538,0.00027031984,0.00029055282,0.00040019446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004929225,0.000019922214,0.0012641099,0.000050254675,0.000007344723,0.00018295491,0.000059685564,0.0016349829,0.9883356,0.00029059016,0.00009867626,0.008006681],"study_design_scores_gemma":[0.000005017621,0.00009808798,0.007969859,0.000005264955,0.000012555846,0.00013514778,0.000040326195,0.0036416103,0.98631775,0.00006820115,0.0016951461,0.000010881361],"about_ca_topic_score_codex":0.0006003905,"about_ca_topic_score_gemma":0.0018587719,"teacher_disagreement_score":0.0019891027,"about_ca_system_score_codex":0.0002147161,"about_ca_system_score_gemma":0.00010706823,"threshold_uncertainty_score":0.006654203},"labels":[],"label_agreement":null},{"id":"W4214555376","doi":"10.3390/en15051738","title":"Framework for Mapping and Optimizing the Solar Rooftop Potential of Buildings in Urban Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"University of Alberta","keywords":"Context (archaeology); Photovoltaic system; Computer science; Solar energy; Architectural engineering; Mathematical optimization; Engineering; Geography; Mathematics","score_opus":0.008397666758937942,"score_gpt":0.19257981279315142,"score_spread":0.18418214603421348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214555376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043749847,0.0001921294,0.993109,0.000056307592,0.000013282643,0.000027591102,0.000055420773,0.00016204939,0.0020093287],"genre_scores_gemma":[0.49916917,0.00072418933,0.49555516,0.000092058755,0.00008073866,0.00031697645,0.00033905773,0.00015075685,0.003571821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973446,0.000077459146,0.000008751148,0.000052806285,0.000080832106,0.000045793044],"domain_scores_gemma":[0.9998609,0.00006147251,0.000017925762,0.000012432192,0.00003424157,0.000013152669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076270045,0.0011543685,0.00093934895,0.00080681907,0.00039250642,0.0012751203,0.0013146482,0.0008413911,0.0022947884],"category_scores_gemma":[0.0009238616,0.00057174603,0.0011151423,0.0008370489,0.0006076113,0.0006310464,0.0013427844,0.00086516526,0.00036023135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009183733,0.000014585958,0.00019701826,0.000029615047,0.000018691984,0.000022354867,0.000013190995,0.9798273,0.00061396055,0.0075694453,0.0003326453,0.01135198],"study_design_scores_gemma":[0.0000022620175,0.000008749992,0.00005563385,0.0000034964853,0.0000026996747,0.0000054443267,0.0000061970923,0.9970926,0.00013633928,0.0023193033,0.00036501494,0.0000022367667],"about_ca_topic_score_codex":0.012108129,"about_ca_topic_score_gemma":0.014972065,"teacher_disagreement_score":0.012108129,"about_ca_system_score_codex":0.0009944044,"about_ca_system_score_gemma":0.0013435687,"threshold_uncertainty_score":0.02407527},"labels":[],"label_agreement":null},{"id":"W4214630250","doi":"10.3390/en15051812","title":"Facile Route for Fabrication of Ferrimagnetic Mn3O4 Spinel Material for Supercapacitors with Enhanced Capacitance","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Supercapacitor; Materials science; Fabrication; Carbon nanotube; Electrode; Cyclic voltammetry; Capacitance; Nanotechnology; Horizontal scan rate; Electrolyte; Spinel; Chemical engineering; Electrochemistry; Chemistry; Metallurgy","score_opus":0.015309766224161976,"score_gpt":0.2265943882667229,"score_spread":0.21128462204256093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214630250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7474049,0.0037999572,0.2157506,0.0008893041,0.0003245535,0.00042735616,0.0014698281,0.0013946376,0.028538845],"genre_scores_gemma":[0.8788593,0.0015631726,0.10517078,0.0001280055,0.0000423721,0.00026735946,0.0008921446,0.00011170803,0.012965323],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989605,0.000007653139,0.0000074983604,0.000020039191,0.000056793982,0.000012043753],"domain_scores_gemma":[0.99995923,0.0000063138687,0.000009912159,0.000006614745,0.000013803441,0.0000041733397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015989578,0.00035556435,0.00014676747,0.00039363524,0.00026390853,0.00016358102,0.0004133248,0.00029987496,0.0023761867],"category_scores_gemma":[0.00014476075,0.00015191086,0.0001616213,0.000176701,0.00013540738,0.00032796958,0.00021786678,0.00037105032,0.00084862433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010160384,0.000021045558,0.000051730043,0.00008090454,0.0000039260144,0.00007313606,0.000019046722,0.000119138334,0.9931445,0.00068962405,0.0001964529,0.005590394],"study_design_scores_gemma":[0.000009835812,0.00006471819,0.00038411966,0.000004007687,0.000005651459,0.00023615205,0.000011361715,0.0017073728,0.9873798,0.00025838488,0.009931455,0.0000071145787],"about_ca_topic_score_codex":0.00036058438,"about_ca_topic_score_gemma":0.0011467957,"teacher_disagreement_score":0.0023761867,"about_ca_system_score_codex":0.0003031144,"about_ca_system_score_gemma":0.0002589177,"threshold_uncertainty_score":0.007949173},"labels":[],"label_agreement":null},{"id":"W4214632064","doi":"10.3390/en15051785","title":"Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","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 Waterloo","funders":"University of Waterloo; King Saud University","keywords":"IEC 61850; Testbed; Interoperability; Embedded system; Operating system; Engineering; Computer science; Computer network; Automation","score_opus":0.01443326525886848,"score_gpt":0.19023098140077527,"score_spread":0.17579771614190678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214632064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9129576,0.00010195028,0.079375945,0.00009500247,0.00007822922,0.00041902869,0.00031099413,0.0030180134,0.0036431332],"genre_scores_gemma":[0.9716381,0.000053114374,0.025986463,0.000040664672,0.0000071439504,0.00014286498,0.0004520732,0.000075054435,0.0016045433],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992506,0.00016372668,0.00006981589,0.00014330454,0.0002511684,0.00012135799],"domain_scores_gemma":[0.9988061,0.00020099651,0.00015109593,0.0003792481,0.00030515986,0.00015736758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009768825,0.00048005994,0.00037621087,0.00068452646,0.00022112165,0.00044900159,0.001149369,0.00033754087,0.0023693386],"category_scores_gemma":[0.0014990809,0.00020409939,0.00026211084,0.00027792813,0.00040473932,0.00080758164,0.0007551548,0.00038194604,0.0006882417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001498356,0.0013365848,0.029693708,0.0007360947,0.0001376033,0.0019214682,0.0010106146,0.031789128,0.75011104,0.004923276,0.0035153436,0.1733268],"study_design_scores_gemma":[0.00041268434,0.011044053,0.04655826,0.000094555464,0.00015112053,0.0015977446,0.0003715036,0.11400266,0.8005282,0.0007568012,0.024379844,0.00010259172],"about_ca_topic_score_codex":0.0005840718,"about_ca_topic_score_gemma":0.00048373517,"teacher_disagreement_score":0.0023693386,"about_ca_system_score_codex":0.00044480522,"about_ca_system_score_gemma":0.0005198803,"threshold_uncertainty_score":0.007926226},"labels":[],"label_agreement":null},{"id":"W4214635181","doi":"10.3390/en15051770","title":"CO2 Emissions and Economy of Co-Firing Carbonized Wood Pellets at Coal-Fired Power Plants: The Case of Overseas Production of Pellets and Use in Japan","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":21,"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":"Pellets; Carbonization; Coal; Waste management; Environmental science; Biomass (ecology); Pyrolysis; Heat of combustion; Pulp and paper industry; Materials science; Engineering; Chemistry; Combustion; Composite material; Geology","score_opus":0.008988306379001247,"score_gpt":0.20012428260032394,"score_spread":0.1911359762213227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214635181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914384,0.00013470153,0.00014442492,0.000006612012,8.4050833e-7,0.0000032275243,0.000060889623,0.0000010990663,0.00050424587],"genre_scores_gemma":[0.9994265,0.00014431568,0.00016028555,0.0000019394365,8.4424437e-7,0.0000034788752,0.00009115844,0.0000015776848,0.00017004267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981815,0.00002120054,0.00001371253,0.000048820773,0.000043457017,0.000054704058],"domain_scores_gemma":[0.9997296,0.00008540006,0.000064039814,0.000019344778,0.00007839427,0.000023226045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027567043,0.0005579479,0.0002899883,0.0011212389,0.0004141116,0.00080589927,0.00036389972,0.00039126576,0.0006522614],"category_scores_gemma":[0.00035021617,0.0001900982,0.0010191086,0.0013568378,0.00045756492,0.0007840908,0.0003538135,0.0002201737,0.00008290267],"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":[0.0011588822,0.00036186102,0.84695816,0.00034844916,0.0004695906,0.006471179,0.00042248488,0.09188513,0.031425625,0.0018434058,0.00026161864,0.018393682],"study_design_scores_gemma":[0.000037294183,0.00037152882,0.8781877,0.000041618317,0.0005440991,0.0007842862,0.0033331367,0.091967754,0.022528742,0.00043935893,0.0016749614,0.00008940882],"about_ca_topic_score_codex":0.09634196,"about_ca_topic_score_gemma":0.078289054,"teacher_disagreement_score":0.09634196,"about_ca_system_score_codex":0.0020272685,"about_ca_system_score_gemma":0.00044435027,"threshold_uncertainty_score":0.19156241},"labels":[],"label_agreement":null},{"id":"W4214711771","doi":"10.3390/en15051694","title":"CFD-Based Erosion and Corrosion Modeling of a Pipeline with CO2-Containing Gas–Water Two-Phase Flow","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Corrosion; Volume of fluid method; Computational fluid dynamics; Pipeline transport; Shear stress; Petroleum engineering; Two-phase flow; Materials science; Produced water; Erosion corrosion; Flow (mathematics); Natural gas; Multiphase flow; Geotechnical engineering; Environmental science; Fluid dynamics; Mechanics; Metallurgy; Engineering; Environmental engineering; Waste management; Composite material; Physics","score_opus":0.0120785338730377,"score_gpt":0.23764977015873207,"score_spread":0.22557123628569437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214711771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8887803,0.0003115223,0.09964535,0.00025460566,0.000062529914,0.00008912135,0.000263613,0.00028100822,0.010312007],"genre_scores_gemma":[0.9904351,0.00012878688,0.0073884674,0.000015336404,0.0000063491257,0.000028939865,0.00008068306,0.00001648447,0.0018998641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992824,0.000012943764,0.000004524757,0.000015002246,0.00002034261,0.000018870962],"domain_scores_gemma":[0.9998697,0.000055972658,0.00002229647,0.00000756248,0.00003176535,0.000012659095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014269953,0.00042639195,0.00044086695,0.0003169499,0.00040222576,0.0006147534,0.00049316336,0.0008980514,0.00075102726],"category_scores_gemma":[0.00042083606,0.00029759845,0.0005411284,0.00023735904,0.000515208,0.00033779806,0.00032675773,0.00034257746,0.00010054646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042699085,0.000031090975,0.0014371162,0.000024801271,0.000007988578,0.00015931511,0.000041606145,0.98798835,0.0076877633,0.0007802024,0.00008661556,0.0017124648],"study_design_scores_gemma":[0.000004086031,0.000008904793,0.00022011121,0.0000010628454,0.0000014553526,0.000008377101,0.0000062286113,0.9990159,0.00061593496,0.000040342526,0.00007486965,0.000002583159],"about_ca_topic_score_codex":0.027658354,"about_ca_topic_score_gemma":0.00859891,"teacher_disagreement_score":0.027658354,"about_ca_system_score_codex":0.0007206172,"about_ca_system_score_gemma":0.0009356291,"threshold_uncertainty_score":0.054994702},"labels":[],"label_agreement":null},{"id":"W4214741616","doi":"10.3390/en15051717","title":"Bioresource Technology for Bioenergy: Development and Trends","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bioenergy; Biomass (ecology); Biofuel; Biotechnology; Biology; Ecology","score_opus":0.008537963363897515,"score_gpt":0.18780133502009094,"score_spread":0.17926337165619344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214741616","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":[0.011643468,0.7795534,0.007736734,0.07664169,0.00954245,0.000089962596,0.0015580208,0.00045535318,0.11277894],"genre_scores_gemma":[0.03706573,0.88107544,0.015875116,0.01770827,0.0022193757,0.000060354832,0.0025968384,0.00017293426,0.043225892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989267,0.000095906355,0.00008478216,0.000090513204,0.0006958985,0.00010619228],"domain_scores_gemma":[0.99809366,0.0002865112,0.00018031681,0.000037172384,0.0011892593,0.00021320456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024533677,0.00073356973,0.00039110574,0.0021306288,0.00051877747,0.0038202803,0.00053418806,0.001367596,0.0044764075],"category_scores_gemma":[0.0018264733,0.00021268203,0.00037679193,0.0055759135,0.0006386851,0.004068062,0.0011993782,0.0025713155,0.003123825],"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":[0.00012008169,0.00016047542,0.0023353847,0.0036833712,0.000038210084,0.0001378651,0.0002661389,0.00042373672,0.010614393,0.058236923,0.17975439,0.744229],"study_design_scores_gemma":[0.0000036823126,0.0000643092,0.0013306381,0.00058737106,0.000012024564,0.00014492453,0.00018176674,0.000191683,0.0028343422,0.004058285,0.9905776,0.000013588619],"about_ca_topic_score_codex":0.0030679172,"about_ca_topic_score_gemma":0.0059829527,"teacher_disagreement_score":0.0044764075,"about_ca_system_score_codex":0.0021045895,"about_ca_system_score_gemma":0.0038750137,"threshold_uncertainty_score":0.015269995},"labels":[],"label_agreement":null},{"id":"W4220656609","doi":"10.3390/en15072449","title":"Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Concordia University","funders":"Concordia University; Compute Canada","keywords":"Wake; Computational fluid dynamics; Aerodynamics; Mechanics; Crosswind; Turbulence; Flow (mathematics); Fluent; Wind tunnel; Reynolds number; Physics; Meteorology","score_opus":0.0024827320554838515,"score_gpt":0.14204328991638435,"score_spread":0.1395605578609005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220656609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98208976,0.00009408999,0.013417052,0.000033296343,0.000010727736,0.000016006872,0.00010552916,0.000113047194,0.004120537],"genre_scores_gemma":[0.99789065,0.00004335211,0.0011383063,0.0000032753971,0.000002327094,0.000006474546,0.0000752446,0.00000994595,0.00083029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999131,0.000021282147,0.0000044540598,0.00001613933,0.000026480757,0.000018627097],"domain_scores_gemma":[0.99984837,0.00007090797,0.000018197841,0.000014043693,0.000035877256,0.0000125212755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017540975,0.00035245088,0.00030973903,0.0003559359,0.0003316294,0.0004140052,0.00020690169,0.00030551082,0.0013533946],"category_scores_gemma":[0.0004607879,0.00017206106,0.0002520615,0.00026593753,0.0002778174,0.000380476,0.0002883853,0.00023409408,0.00030471844],"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":[0.00011753887,0.00007895959,0.008861488,0.0000379085,0.000024107232,0.00033001107,0.00012174319,0.9558469,0.024087425,0.00082000793,0.00024056605,0.009433275],"study_design_scores_gemma":[0.000009058478,0.00016660304,0.010018889,0.00000393001,0.000004988018,0.000047632846,0.0000468393,0.98503774,0.0040440415,0.00024514672,0.00036134702,0.0000138489995],"about_ca_topic_score_codex":0.0038350457,"about_ca_topic_score_gemma":0.0021212648,"teacher_disagreement_score":0.0038350457,"about_ca_system_score_codex":0.0002799298,"about_ca_system_score_gemma":0.00017570217,"threshold_uncertainty_score":0.0076254606},"labels":[],"label_agreement":null},{"id":"W4220696591","doi":"10.3390/en15072482","title":"Investigation and Field Measurements for Demand Side Management Control Technique of Smart Air Conditioners located at Residential, Commercial, and Industrial Sites","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Thermostat; Air conditioning; Power-line communication; Transformer; Automotive engineering; Engineering; Electrical engineering; Voltage; Temperature control; Power consumption; Telecommunications; Power (physics); Control engineering; Mechanical engineering","score_opus":0.030789627629599307,"score_gpt":0.21812896500107412,"score_spread":0.18733933737147482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220696591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942468,0.000029459381,0.0042590103,0.000022318412,0.000006692562,0.00002217212,0.00021167207,0.00006486514,0.0011370842],"genre_scores_gemma":[0.99845684,0.000026287784,0.0009030017,0.00000803144,0.0000034454094,0.000011506899,0.00011885076,0.000004110705,0.0004678309],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997446,0.000038142083,0.000007485394,0.00006452189,0.000111578905,0.000033623182],"domain_scores_gemma":[0.99955255,0.00012508269,0.000060904596,0.000036566344,0.00020206654,0.000022788423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014960385,0.00022615583,0.00018917822,0.00028018374,0.00023160735,0.00015954032,0.00019657493,0.0002704152,0.0007657271],"category_scores_gemma":[0.0003808589,0.00009361074,0.00008970576,0.00024756428,0.00017359678,0.00021637276,0.00012319577,0.00018681087,0.00021946213],"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":[0.0012517743,0.00078607816,0.23698297,0.00030533745,0.00005524986,0.0007389226,0.0014896046,0.009271305,0.6488085,0.00035217637,0.001927177,0.09803086],"study_design_scores_gemma":[0.00007506895,0.0029833158,0.6740231,0.00003348188,0.00008619429,0.0011867856,0.0031635861,0.038706947,0.27504602,0.00038557357,0.00425861,0.00005137912],"about_ca_topic_score_codex":0.001227443,"about_ca_topic_score_gemma":0.0023029558,"teacher_disagreement_score":0.001227443,"about_ca_system_score_codex":0.0001475371,"about_ca_system_score_gemma":0.000095119576,"threshold_uncertainty_score":0.0025616288},"labels":[],"label_agreement":null},{"id":"W4220710663","doi":"10.3390/en15062230","title":"Health Monitoring of Lithium-Ion Batteries Using Dual Filters","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Robustness (evolution); Mean squared error; Battery (electricity); Control theory (sociology); Dual (grammatical number); Lithium-ion battery; State of charge; Extended Kalman filter; Kalman filter; State of health; Lithium titanate; Computer science; Mathematics; Chemistry; Statistics; Physics","score_opus":0.031620685755008225,"score_gpt":0.2947435504620753,"score_spread":0.2631228647070671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220710663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56486046,0.0009339651,0.42654994,0.0002671691,0.00015476547,0.000094628616,0.0004965249,0.0023263788,0.004316202],"genre_scores_gemma":[0.9770145,0.00014145907,0.021552797,0.000041536496,0.000015775402,0.00004045055,0.00020623948,0.000011303465,0.0009760193],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996568,0.000029123144,0.000025920503,0.00009848062,0.00015217219,0.000037448783],"domain_scores_gemma":[0.999617,0.000102598584,0.000048126807,0.000032197182,0.0001842881,0.00001575382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243596,0.0006080006,0.00054364814,0.0007384623,0.0002546886,0.00058870274,0.00060224533,0.0006739493,0.0007503594],"category_scores_gemma":[0.0012660862,0.00018762972,0.00035295342,0.00039362942,0.00015279528,0.00074188755,0.00039731953,0.0003477109,0.00026912792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018908897,0.0006240216,0.05071988,0.00056614383,0.0002937012,0.0003940293,0.00029973566,0.22354822,0.14724126,0.0013345471,0.0024458847,0.5706417],"study_design_scores_gemma":[0.000040118204,0.00033560555,0.015590016,0.000022189863,0.000064141845,0.00012542888,0.000060816725,0.9432011,0.038109954,0.0005990178,0.0018138513,0.000037730857],"about_ca_topic_score_codex":0.0052171354,"about_ca_topic_score_gemma":0.007008085,"teacher_disagreement_score":0.0052171354,"about_ca_system_score_codex":0.00041257683,"about_ca_system_score_gemma":0.00037952492,"threshold_uncertainty_score":0.010373533},"labels":[],"label_agreement":null},{"id":"W4220733235","doi":"10.3390/en15062067","title":"Application of the Horizontal Soil Stratification and Lateral Profiling Methods for 3D Mapping of the Soil Electrical Resistivity","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária; Fundação de Amparo à Pesquisa do Estado de Goiás; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Discretization; Electrical resistivity and conductivity; Stratification (seeds); Soil science; Soil water; Soil resistivity; Interpolation (computer graphics); Geotechnical engineering; Geology; Computer science; Mathematics; Engineering; Artificial intelligence; Mathematical analysis; Electrical engineering","score_opus":0.017097300100483475,"score_gpt":0.26411440532712344,"score_spread":0.24701710522663997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220733235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014502399,0.00006858727,0.9835165,0.000027688911,0.00001059561,0.00002738993,0.00005699978,0.00032520838,0.0014645988],"genre_scores_gemma":[0.20858869,0.00012652283,0.7900273,0.000016143034,0.000008031615,0.0000778383,0.0001286978,0.00004844765,0.0009782541],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997656,0.000050856182,0.000012484422,0.000039156075,0.0001161117,0.000015830612],"domain_scores_gemma":[0.9998342,0.00006228296,0.000024836761,0.0000341358,0.00003655091,0.000008048158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031858488,0.0002746324,0.0002529771,0.00074836984,0.00018847443,0.00040780456,0.00028616874,0.00020420877,0.0015105559],"category_scores_gemma":[0.0007213665,0.0002160178,0.00036038435,0.0005361701,0.00028074606,0.00040471964,0.0006054634,0.00025208842,0.00034567542],"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":[0.00009261043,0.000070866576,0.005885308,0.0002886097,0.000059967908,0.00015717909,0.000617551,0.11017573,0.15282571,0.03594715,0.0013271299,0.6925521],"study_design_scores_gemma":[0.000021509713,0.00008713719,0.005209461,0.000037298036,0.00002379803,0.00032630362,0.00014448301,0.91533154,0.055811487,0.009691939,0.013256042,0.00005904798],"about_ca_topic_score_codex":0.0010604161,"about_ca_topic_score_gemma":0.0019085204,"teacher_disagreement_score":0.0015105559,"about_ca_system_score_codex":0.00025105607,"about_ca_system_score_gemma":0.00038391328,"threshold_uncertainty_score":0.0050533414},"labels":[],"label_agreement":null},{"id":"W4220735171","doi":"10.3390/en15062117","title":"A Regressive Model for Periodic Dynamic Instabilities during Condensation of R1234yf and R1234ze Refrigerants","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":8,"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":"Refrigerant; Condensation; Global-warming potential; Fluorocarbon; Thermodynamics; Greenhouse gas; Environmental science; Materials science; Chemistry; Physics; Organic chemistry","score_opus":0.007923825670681265,"score_gpt":0.20799203301849062,"score_spread":0.20006820734780936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220735171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21047544,0.0035978903,0.7548846,0.0014750526,0.00042620662,0.0002605453,0.0010766052,0.0008691348,0.02693455],"genre_scores_gemma":[0.95865446,0.0012227984,0.012533408,0.00016603821,0.00013777975,0.0003174698,0.0005065412,0.00016668838,0.026294792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996891,0.00006180899,0.000014997771,0.00008985499,0.0000728458,0.000071428876],"domain_scores_gemma":[0.99904543,0.00048170058,0.00017396345,0.000027990378,0.00023007125,0.000040715662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090841093,0.0012043408,0.0011629637,0.0006916631,0.00052992656,0.0013330595,0.0016567137,0.0022200106,0.0030585187],"category_scores_gemma":[0.0024395508,0.00055178447,0.001657991,0.00031084334,0.0011130049,0.0013343209,0.000978839,0.0016807906,0.000591989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010205004,0.000051127678,0.0012000835,0.00018573842,0.000035385397,0.00028582456,0.00014815407,0.9612588,0.009259864,0.023265112,0.0006632894,0.0035445045],"study_design_scores_gemma":[0.000005387326,0.000013658789,0.00012761046,0.0000044387216,0.000007172699,0.000011455428,0.00000860193,0.9982456,0.00039266548,0.00086910266,0.00030653522,0.000007780562],"about_ca_topic_score_codex":0.02217964,"about_ca_topic_score_gemma":0.0072048744,"teacher_disagreement_score":0.02217964,"about_ca_system_score_codex":0.001197132,"about_ca_system_score_gemma":0.0013339929,"threshold_uncertainty_score":0.04410106},"labels":[],"label_agreement":null},{"id":"W4220744458","doi":"10.3390/en15062152","title":"A Review of the Status of Fossil and Renewable Energies in Southeast Asia and Its Implications on the Decarbonization of ASEAN","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Renewable energy; Fossil fuel; Hydropower; Natural resource economics; Environmental science; Energy mix; Environmental protection; Electricity generation; Economics; Waste management; Power (physics); Ecology; Engineering","score_opus":0.046839417966945435,"score_gpt":0.29014904223746224,"score_spread":0.2433096242705168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220744458","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":[0.00066316966,0.99588084,0.00012503537,0.00071364694,0.0003219688,0.000003659968,0.000103053746,0.00000778639,0.002180796],"genre_scores_gemma":[0.0020614103,0.9966049,0.00015255186,0.00025873142,0.00022172596,0.0000038836592,0.00010090209,0.0000019721522,0.0005939214],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965787,0.000060428643,0.00010033596,0.00004565985,0.00010146401,0.000034237786],"domain_scores_gemma":[0.999253,0.0002205602,0.00020783975,0.000016152318,0.00023643799,0.000065961096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006874724,0.00072503963,0.0006236765,0.0044148075,0.00051493035,0.0014703983,0.0005021648,0.00064847304,0.004374386],"category_scores_gemma":[0.0009835702,0.0002922241,0.0005841461,0.008365927,0.00035176324,0.0021074945,0.00058622006,0.000850419,0.0008397428],"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":[0.000105777355,0.00007708481,0.0031046448,0.060831334,0.0001872094,0.0009084358,0.00097519264,0.0011113336,0.0036567703,0.009340406,0.091761686,0.82794017],"study_design_scores_gemma":[0.0000029939536,0.00005848729,0.00786011,0.012395483,0.00014437926,0.0009560992,0.00051019626,0.00011457078,0.0004073177,0.001273181,0.9762467,0.000030484467],"about_ca_topic_score_codex":0.0070811575,"about_ca_topic_score_gemma":0.012166794,"teacher_disagreement_score":0.0070811575,"about_ca_system_score_codex":0.0010158869,"about_ca_system_score_gemma":0.0031883975,"threshold_uncertainty_score":0.014633775},"labels":[],"label_agreement":null},{"id":"W4220750544","doi":"10.3390/en15062288","title":"State Estimation Fusion for Linear Microgrids over an Unreliable Network","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Agencia Estatal de Investigación; Universidad Carlos III de Madrid; Ministerio de Ciencia e Innovación; Comunidad de Madrid","keywords":"Computer science; Network packet; Lossy compression; Kalman filter; Linear regression; Packet loss; Mean squared error; Perceptron; Random forest; Sensor fusion; Multilayer perceptron; Fusion; Data mining; Real-time computing; Artificial intelligence; Machine learning; Artificial neural network; Statistics; Mathematics; Computer network","score_opus":0.0065546751571475895,"score_gpt":0.2208415645724579,"score_spread":0.21428688941531032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220750544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1372693,0.00044099806,0.8598386,0.0001859234,0.000042109008,0.00003343997,0.00008270452,0.0006137468,0.001493144],"genre_scores_gemma":[0.9825851,0.00012626775,0.016698575,0.000022847253,0.00001305933,0.000022731607,0.00006238808,0.000011714627,0.0004574275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995529,0.00013792327,0.00003623573,0.00012835565,0.0000943715,0.000050144132],"domain_scores_gemma":[0.9993363,0.0003326406,0.00013919866,0.00005821809,0.00011990649,0.000013725371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253446,0.0006063814,0.0007316571,0.00033309104,0.00043288455,0.0006293347,0.00051174103,0.00035373864,0.00077468716],"category_scores_gemma":[0.0023759007,0.000243434,0.0005171201,0.000504847,0.00041602348,0.0010996751,0.0006912075,0.00062698754,0.00014051923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009991314,0.000024474892,0.0013285314,0.000067010034,0.000041574513,0.00006595685,0.00007187742,0.9508828,0.002275908,0.0012724022,0.00022887583,0.043640736],"study_design_scores_gemma":[0.000001970586,0.000017764527,0.0003235679,0.000002408911,0.000006541208,0.0000044082935,0.000009768688,0.9984285,0.0005495775,0.0005745175,0.00007770682,0.0000033260253],"about_ca_topic_score_codex":0.008844286,"about_ca_topic_score_gemma":0.005300449,"teacher_disagreement_score":0.008844286,"about_ca_system_score_codex":0.000543572,"about_ca_system_score_gemma":0.0005946587,"threshold_uncertainty_score":0.017585635},"labels":[],"label_agreement":null},{"id":"W4220785261","doi":"10.3390/en15061968","title":"Accumulation of Inert Impurities in a Polymer Electrolyte Fuel Cell System with Anode Recirculation and Periodic Purge: A Simple Analytical Model","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Anode; Purge; Cathode; Inert; Electrolyte; Chemistry; Volume (thermodynamics); Nuclear engineering; Inert gas; Chemical engineering; Analytical Chemistry (journal); Thermodynamics; Waste management; Chromatography; Organic chemistry; Electrode; Physics; Engineering","score_opus":0.011707921224297438,"score_gpt":0.21026455589235885,"score_spread":0.1985566346680614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220785261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5985735,0.003051173,0.36177322,0.001001568,0.00020461605,0.00037150306,0.0015048822,0.0012025443,0.03231693],"genre_scores_gemma":[0.9749909,0.0014447931,0.012079443,0.0001257423,0.00003576891,0.0002594922,0.00023237581,0.00007033506,0.010761223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998658,0.000022851478,0.0000068214526,0.000039904342,0.00003541795,0.000029240005],"domain_scores_gemma":[0.9997514,0.00009702145,0.000043835422,0.000019308703,0.00007801582,0.000010343508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024414528,0.00080084865,0.0008676978,0.0005226421,0.0004315011,0.00074753235,0.001411045,0.0015818246,0.0010525686],"category_scores_gemma":[0.0006853653,0.0003271361,0.0008676804,0.00044039654,0.00061234157,0.0011088252,0.0004553695,0.0006631138,0.00032284315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005746221,0.00004273235,0.00053245085,0.00012520773,0.000016400545,0.00026856884,0.00011283229,0.9706636,0.019203674,0.0052140597,0.00026155877,0.003501392],"study_design_scores_gemma":[0.0000068418217,0.000022052798,0.0000917637,0.000003585944,0.000008019615,0.000021164446,0.000007168376,0.9970305,0.0020879698,0.0004164257,0.0002987315,0.0000057838142],"about_ca_topic_score_codex":0.013716584,"about_ca_topic_score_gemma":0.0054239766,"teacher_disagreement_score":0.013716584,"about_ca_system_score_codex":0.0013688325,"about_ca_system_score_gemma":0.0010531809,"threshold_uncertainty_score":0.027273476},"labels":[],"label_agreement":null},{"id":"W4220852325","doi":"10.3390/en15062209","title":"Computational Modeling Approaches of Hydrothermal Carbonization: A Critical Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Commercialization; Hydrothermal carbonization; Process engineering; Raw material; Process (computing); Computer science; Environmental science; Biochemical engineering; Carbonization; Engineering; Business; Materials science","score_opus":0.0909046085727339,"score_gpt":0.2787093314209635,"score_spread":0.18780472284822958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220852325","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":[0.00020831489,0.9963397,0.0014125843,0.00032841644,0.00023881916,0.000008891945,0.000026751846,0.0000133817475,0.0014231972],"genre_scores_gemma":[0.0011270514,0.99722916,0.00096290186,0.00009358062,0.00014944148,0.000012967989,0.000045966488,0.0000060448747,0.0003729229],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997416,0.00005299489,0.000040253417,0.000042921114,0.00009892633,0.000023321767],"domain_scores_gemma":[0.999159,0.0005348425,0.000056012566,0.00002424996,0.00019969582,0.000026266285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008954719,0.0013241312,0.001579297,0.0019295427,0.00032198033,0.0013458438,0.001311636,0.0013510861,0.0037581765],"category_scores_gemma":[0.0014312302,0.00059980305,0.0010569209,0.0030400585,0.0004673915,0.0017387178,0.0007981677,0.0016480553,0.0015913404],"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":[0.000056013512,0.00012407861,0.00032215417,0.041487988,0.00024296658,0.00020443687,0.0001658934,0.009209899,0.0017201935,0.029797733,0.034747753,0.88192093],"study_design_scores_gemma":[0.00001754077,0.00014805551,0.0007219615,0.012528258,0.00028301295,0.00049139187,0.00013269902,0.003540757,0.00118816,0.011755344,0.9691301,0.00006264158],"about_ca_topic_score_codex":0.0018466479,"about_ca_topic_score_gemma":0.0020780654,"teacher_disagreement_score":0.0037581765,"about_ca_system_score_codex":0.000596685,"about_ca_system_score_gemma":0.0016469245,"threshold_uncertainty_score":0.0125722885},"labels":[],"label_agreement":null},{"id":"W4220901363","doi":"10.3390/en15051914","title":"A Review on the Enhancement of Mechanical and Tribological Properties of MCrAlY Coatings Reinforced by Dispersed Micro and Nanoparticles","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Tribology; Materials science; Structural material; Service life; Nanotechnology; Composite material","score_opus":0.05166686957757931,"score_gpt":0.2435321959704,"score_spread":0.19186532639282067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220901363","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":[0.000610446,0.9968309,0.00029902082,0.00013690053,0.0002210608,0.000007866137,0.0000668092,0.000015061379,0.001812002],"genre_scores_gemma":[0.0016491226,0.9965863,0.00035435238,0.00011276571,0.000093040806,0.000007979476,0.00007390153,0.0000026236296,0.0011199823],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99987245,0.000015465623,0.000021960213,0.000026903701,0.000049895847,0.000013321652],"domain_scores_gemma":[0.9998042,0.0000839772,0.000038653365,0.0000068989234,0.000053292526,0.000013039374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706125,0.00086039834,0.0008492974,0.0023778817,0.00026720954,0.00062624074,0.0005352811,0.0006100112,0.0035155467],"category_scores_gemma":[0.0004320347,0.00031336362,0.00051076256,0.002382176,0.00017719332,0.0008607247,0.0003972347,0.0006955015,0.0012831375],"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":[0.000098610864,0.00016083119,0.00032514674,0.1044059,0.00021438095,0.0003909633,0.00015616654,0.000871459,0.023898518,0.004544569,0.038195595,0.8267378],"study_design_scores_gemma":[0.0000064940564,0.00020674977,0.0011876038,0.0050858064,0.00024653596,0.0010682151,0.00006132266,0.00012765039,0.004273315,0.0008066838,0.9869019,0.000027642953],"about_ca_topic_score_codex":0.00074849144,"about_ca_topic_score_gemma":0.0015947493,"teacher_disagreement_score":0.0035155467,"about_ca_system_score_codex":0.00027070826,"about_ca_system_score_gemma":0.0008218165,"threshold_uncertainty_score":0.011760652},"labels":[],"label_agreement":null},{"id":"W4220913205","doi":"10.3390/en15072548","title":"Predicting Adsorption of Methane and Carbon Dioxide Mixture in Shale Using Simplified Local-Density Model: Implications for Enhanced Gas Recovery and Carbon Dioxide Sequestration","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Methane; Adsorption; Oil shale; Carbon dioxide; Chemistry; Carbon sequestration; Shale gas; Workflow; Petroleum engineering; Thermodynamics; Waste management; Organic chemistry; Geology; Computer science; Physics; Engineering","score_opus":0.017770482914668942,"score_gpt":0.24203879396266517,"score_spread":0.22426831104799622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220913205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8565898,0.00087256223,0.13607146,0.00036265564,0.000039207956,0.00011087673,0.0011485837,0.00094760454,0.0038571963],"genre_scores_gemma":[0.97605115,0.0004429366,0.021523912,0.000039233677,0.000006438564,0.00010052206,0.0006665611,0.00004392099,0.0011253707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998894,0.000019601324,0.000008528742,0.000026975993,0.000038926013,0.000016475477],"domain_scores_gemma":[0.9997886,0.00010211071,0.000015659409,0.000017627448,0.00006001148,0.000016045768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038593187,0.0007023796,0.0005831053,0.00039930004,0.00038752676,0.00073010667,0.0007227844,0.0008391704,0.0007880004],"category_scores_gemma":[0.0007460119,0.00029241503,0.0009350767,0.00044114064,0.00025206342,0.0006757002,0.00039906777,0.00046785802,0.00024902017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007859315,0.00010438397,0.009000457,0.00014171694,0.000033506865,0.00010119113,0.000033580312,0.9694314,0.011600548,0.00074063876,0.00027442983,0.008459627],"study_design_scores_gemma":[0.000003881046,0.000009822094,0.0005286439,0.0000014730522,0.0000046015343,0.000006352147,0.000006375622,0.99756265,0.0016284519,0.00014713366,0.0000966819,0.0000040017926],"about_ca_topic_score_codex":0.027253669,"about_ca_topic_score_gemma":0.018550118,"teacher_disagreement_score":0.027253669,"about_ca_system_score_codex":0.0008983702,"about_ca_system_score_gemma":0.0014174875,"threshold_uncertainty_score":0.05419004},"labels":[],"label_agreement":null},{"id":"W4220950360","doi":"10.3390/en15051889","title":"Voluntary Simplicity and Green Buying Behavior: An Extended Framework","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University","funders":"","keywords":"Frugality; Simplicity; Consumption (sociology); Consumerism; Green consumption; Prosperity; Context (archaeology); Turnover; Marketing; Economics; Business; Advertising; Microeconomics; Ecology; Sociology; Geography; Social science; Economic growth; Market economy","score_opus":0.011496224836697745,"score_gpt":0.2274346616547941,"score_spread":0.21593843681809635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220950360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65488017,0.0032420368,0.16972758,0.005183849,0.00014237195,0.00023516007,0.00058599,0.00012748588,0.1658753],"genre_scores_gemma":[0.9902638,0.00038825814,0.006649476,0.00009479208,0.00004923187,0.00005511868,0.00006169515,0.000010584127,0.0024269535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99765646,0.0015288368,0.00006885959,0.00028221204,0.00021779846,0.0002457969],"domain_scores_gemma":[0.99604404,0.0025269398,0.0005753294,0.00025768086,0.00030708383,0.0002890373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021318935,0.0008897285,0.00059039827,0.00178916,0.0008405749,0.002508332,0.000951434,0.0011413433,0.0071973987],"category_scores_gemma":[0.0033331048,0.00030093352,0.0015591683,0.0011526138,0.0034366208,0.002315721,0.0027565777,0.0010790721,0.00040684102],"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":[0.00013170643,0.00038170064,0.04459626,0.00019886263,0.00032232466,0.0009193197,0.00492755,0.017558293,0.00091717596,0.9064017,0.0006742279,0.022970892],"study_design_scores_gemma":[0.00009660968,0.00050959,0.07866617,0.00031725902,0.00033022065,0.00069193257,0.003161991,0.12143065,0.00029456578,0.7759521,0.018402273,0.00014659965],"about_ca_topic_score_codex":0.0077187563,"about_ca_topic_score_gemma":0.0037680818,"teacher_disagreement_score":0.0077187563,"about_ca_system_score_codex":0.0015005519,"about_ca_system_score_gemma":0.0011817428,"threshold_uncertainty_score":0.024077713},"labels":[],"label_agreement":null},{"id":"W4220954143","doi":"10.3390/en15030828","title":"Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Quality (philosophy); Comprehension; Renewable energy; Observability; Engineering management; Systems engineering; Risk analysis (engineering); Telecommunications; Engineering; Business; Electrical engineering","score_opus":0.03892611189345847,"score_gpt":0.311236992578651,"score_spread":0.27231088068519255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220954143","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":[0.00023269383,0.99665785,0.00062199065,0.00033041596,0.00023067457,0.000012897898,0.000026396006,0.000012537522,0.0018744967],"genre_scores_gemma":[0.002282887,0.99638945,0.0004994028,0.00014103335,0.00018974801,0.0000126477735,0.000035989666,0.0000026122443,0.00044634653],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996445,0.00006716276,0.000063955515,0.00007581344,0.00011962487,0.000028877088],"domain_scores_gemma":[0.9983713,0.0010476749,0.00017063858,0.000034395154,0.00033182284,0.000044198256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085267756,0.0009522249,0.0009226442,0.0029452173,0.00036415466,0.0014863054,0.0008102823,0.0012694612,0.0038708139],"category_scores_gemma":[0.0019350474,0.00042829092,0.00071244093,0.0032429395,0.00042070917,0.0024022963,0.0006749591,0.0009564165,0.001293408],"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":[0.000045038363,0.00007968009,0.00044240995,0.038667183,0.00010217942,0.00016942293,0.00020386258,0.0008124149,0.00091523596,0.008714636,0.015926901,0.933921],"study_design_scores_gemma":[0.000009022533,0.00016996027,0.0017276104,0.016201718,0.00033898468,0.0010897014,0.00029470338,0.0006268984,0.0008513329,0.0036554143,0.9749776,0.00005704527],"about_ca_topic_score_codex":0.002278681,"about_ca_topic_score_gemma":0.0025855778,"teacher_disagreement_score":0.0038708139,"about_ca_system_score_codex":0.000660886,"about_ca_system_score_gemma":0.001745806,"threshold_uncertainty_score":0.012949169},"labels":[],"label_agreement":null},{"id":"W4220968015","doi":"10.3390/en15061991","title":"Does Energy Demand Security Affect International Competitiveness? Case of Selected Energy-Exporting OECD Countries","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy Security and Policy","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Szkoła Główna Handlowa w Warszawie","keywords":"Energy security; Economic rent; Endowment; Economics; Productivity; International trade; International economics; Energy (signal processing); Resource (disambiguation); Energy policy; Business; Economic growth; Market economy; Renewable energy","score_opus":0.0050589315857831815,"score_gpt":0.23734971504792016,"score_spread":0.23229078346213697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220968015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885611,0.00033502403,0.00013626496,0.00035952913,0.000006435759,0.000009535666,0.00028457292,0.0000032042965,0.010304268],"genre_scores_gemma":[0.9987005,0.00035936412,0.000058345075,0.000023496286,0.0000042994443,0.000006075807,0.00021126986,0.0000020169048,0.00063453347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996105,0.00010329753,0.000015573598,0.000038018985,0.00005292693,0.00017975406],"domain_scores_gemma":[0.99917847,0.00028065813,0.00023551886,0.0000426401,0.00014646212,0.00011627228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009001151,0.0002478184,0.00032015814,0.0017229404,0.0009553054,0.002175203,0.0003098241,0.0005086035,0.002490667],"category_scores_gemma":[0.0016244032,0.00010473636,0.00058243045,0.0027207045,0.00092593126,0.0008878549,0.0010945215,0.00056673714,0.00018034894],"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":[0.0004990001,0.0003552059,0.9023132,0.00019971436,0.00020116982,0.013985644,0.004306337,0.02419265,0.0009431882,0.027778186,0.004801485,0.020424282],"study_design_scores_gemma":[0.000062905696,0.00024890623,0.8962439,0.00022385322,0.00026549783,0.0014746842,0.058707606,0.015939908,0.0020293817,0.0048352364,0.019891523,0.000076646844],"about_ca_topic_score_codex":0.07825288,"about_ca_topic_score_gemma":0.055042256,"teacher_disagreement_score":0.07825288,"about_ca_system_score_codex":0.0021132445,"about_ca_system_score_gemma":0.0011390949,"threshold_uncertainty_score":0.15559483},"labels":[],"label_agreement":null},{"id":"W4221103553","doi":"10.3390/en15072458","title":"Doping Colloidal Quantum Dot Materials and Devices for Photovoltaics","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Quantum Dots Synthesis And Properties","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaics; Doping; Nanotechnology; Materials science; Quantum dot; Chalcogenide; Semiconductor; Nanocrystal; Electronics; Fabrication; Engineering physics; Optoelectronics; Photovoltaic system; Electrical engineering; Physics; Engineering","score_opus":0.025745959505701677,"score_gpt":0.24284668605102402,"score_spread":0.21710072654532234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221103553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.444501,0.14574821,0.31761044,0.0038615689,0.001379926,0.0003794415,0.0010545154,0.0009709719,0.08449388],"genre_scores_gemma":[0.7873367,0.035286315,0.15826891,0.0004850441,0.00015310866,0.0001807693,0.00039896928,0.00016407514,0.017726067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998087,0.000027471908,0.0000109524835,0.000045750694,0.00008819199,0.00001894012],"domain_scores_gemma":[0.99994457,0.000014960742,0.00000775533,0.000008402579,0.000018810862,0.0000054265097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021819315,0.00025184432,0.00027778588,0.0004338705,0.00040648723,0.000716983,0.00021868657,0.0005348486,0.0018045667],"category_scores_gemma":[0.00024221551,0.00016966341,0.00027838373,0.00036501905,0.00034537056,0.0005856608,0.00037591904,0.0003988696,0.00057819067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002992292,0.000027734657,0.00044443447,0.0005404116,0.000018191347,0.00008677225,0.000070014976,0.0010690761,0.92848605,0.032129236,0.0011762576,0.035921916],"study_design_scores_gemma":[0.000014658512,0.0001833743,0.0008362199,0.00007577909,0.000047090285,0.00033311208,0.000084184096,0.01266231,0.8777529,0.008820114,0.099157035,0.000033265384],"about_ca_topic_score_codex":0.0006827742,"about_ca_topic_score_gemma":0.0017086806,"teacher_disagreement_score":0.0018045667,"about_ca_system_score_codex":0.00070291763,"about_ca_system_score_gemma":0.00044445958,"threshold_uncertainty_score":0.0060368776},"labels":[],"label_agreement":null},{"id":"W4221119619","doi":"10.3390/en15072395","title":"The Crude Oil International Trade Competition Networks: Evolution Trends and Estimating Potential Competition Links","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":19,"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":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Competition (biology); Crude oil; Restructuring; International trade; Context (archaeology); Economics; Business; International economics; Industrial organization; Engineering; Petroleum engineering; Biology","score_opus":0.009052409161527584,"score_gpt":0.20152292713719797,"score_spread":0.19247051797567039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221119619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9379293,0.0013509367,0.043206893,0.0011071247,0.000050737315,0.00010201164,0.006561841,0.00020868327,0.009482442],"genre_scores_gemma":[0.98205155,0.00071651826,0.010760353,0.000037370748,0.000026344254,0.000067816785,0.004888798,0.000017777827,0.001433368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993405,0.00021555941,0.00004447438,0.00016055706,0.00015487977,0.00008402762],"domain_scores_gemma":[0.9970891,0.0012432063,0.0007475422,0.00016023095,0.0005816869,0.00017821386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014995921,0.00054670754,0.0003011993,0.004979684,0.0005136876,0.0014564721,0.0006096529,0.0006042914,0.0017713829],"category_scores_gemma":[0.00716654,0.00023113172,0.0007016005,0.0057504866,0.00029043926,0.003442621,0.0007589596,0.00063200196,0.00043025328],"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":[0.00013056546,0.00013795591,0.72058916,0.00021579697,0.00024380944,0.00034763888,0.0005884045,0.19047888,0.0008287845,0.012910083,0.0053711613,0.06815787],"study_design_scores_gemma":[0.000009015228,0.000041956562,0.111678235,0.00005442045,0.000079733996,0.00013509854,0.00058130326,0.87531275,0.0004579278,0.0071806298,0.004437618,0.000031203504],"about_ca_topic_score_codex":0.030136302,"about_ca_topic_score_gemma":0.026523205,"teacher_disagreement_score":0.030136302,"about_ca_system_score_codex":0.0016243035,"about_ca_system_score_gemma":0.0008895527,"threshold_uncertainty_score":0.05992174},"labels":[],"label_agreement":null},{"id":"W4223493485","doi":"10.3390/en15082784","title":"Experimental Assessment of the Thermal Conductivity of Basalt Fibres at High Temperatures","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thermal conductivity; Materials science; Thermal insulation; Composite material; Thermal; Thermal stability; Range (aeronautics); Atmospheric temperature range; Thermodynamics; Chemical engineering","score_opus":0.012827958227208915,"score_gpt":0.25577536084968233,"score_spread":0.2429474026224734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223493485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99029595,0.0005989187,0.006025688,0.000032032855,0.000025613212,0.000033240074,0.0003001872,0.00005005745,0.002638407],"genre_scores_gemma":[0.99403834,0.000532341,0.00408156,0.000017070823,0.000009253837,0.00005670171,0.00024631605,0.000040978663,0.0009774197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959785,0.000050832525,0.000023900757,0.000107119944,0.00014361257,0.00007664649],"domain_scores_gemma":[0.99930584,0.00029532053,0.00009878555,0.000086474036,0.0001791085,0.00003441862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046191664,0.00043993496,0.0003017891,0.00024415646,0.00039480627,0.00033970914,0.00023293988,0.0004317058,0.0014433058],"category_scores_gemma":[0.00091020996,0.0001647838,0.00019789192,0.0003627626,0.000551221,0.0004386122,0.00024761504,0.0007141141,0.00036649522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095370604,0.00001963867,0.00021786167,0.00005237778,0.0000031473273,0.00002658293,0.00007108983,0.00015643964,0.9984762,0.00005735997,0.000014636342,0.0008093682],"study_design_scores_gemma":[0.000002808812,0.0001539707,0.0014348569,0.0000056606277,0.0000046910445,0.000036255686,0.000035516143,0.0003823755,0.9976209,0.00002990454,0.00028971198,0.0000034022494],"about_ca_topic_score_codex":0.00032253706,"about_ca_topic_score_gemma":0.00050701154,"teacher_disagreement_score":0.0014433058,"about_ca_system_score_codex":0.0002324919,"about_ca_system_score_gemma":0.00014477028,"threshold_uncertainty_score":0.004828334},"labels":[],"label_agreement":null},{"id":"W4224053637","doi":"10.3390/en15082848","title":"Feasibility Investigation of Hydrogen Refuelling Infrastructure for Heavy-Duty Vehicles in Canada","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Truck; Hydrogen vehicle; Hydrogen fuel; Greenhouse gas; Environmental science; Miles per gallon gasoline equivalent; Diesel fuel; Combustion; Green vehicle; Automotive engineering; Waste management; Business; Engineering; Fuel efficiency; Fuel cells","score_opus":0.016092153080121466,"score_gpt":0.216375225154934,"score_spread":0.20028307207481252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224053637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98692954,0.00006114294,0.0024626784,0.00020431074,0.0000063606044,0.00021168709,0.00040440392,0.00005001853,0.009669821],"genre_scores_gemma":[0.9928397,0.00018078306,0.0032930528,0.000018921226,0.0000011721289,0.000028486753,0.00025702687,0.000006121559,0.0033746967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994991,0.000038231105,0.000011081347,0.000057140296,0.00018312363,0.0002113648],"domain_scores_gemma":[0.999508,0.00007681477,0.000033649383,0.00001800409,0.00028268347,0.000080884885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005376649,0.0004644908,0.0002416635,0.0006942592,0.0019360369,0.0013994523,0.0013494954,0.0005730311,0.002313805],"category_scores_gemma":[0.00089581404,0.00036346895,0.0006221668,0.00091441633,0.00055982353,0.0008528706,0.00058819714,0.0004990308,0.00016417261],"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":[0.001196486,0.0015779088,0.32118568,0.00061076676,0.00016571856,0.0040287473,0.00221931,0.4744063,0.0519799,0.02347679,0.0048311665,0.11432127],"study_design_scores_gemma":[0.00020007743,0.002035334,0.18247344,0.00011162739,0.00024854485,0.00032300735,0.022950731,0.7357344,0.028062614,0.0022076156,0.025483625,0.000168974],"about_ca_topic_score_codex":0.94931877,"about_ca_topic_score_gemma":0.9719863,"teacher_disagreement_score":0.050681233,"about_ca_system_score_codex":0.030816665,"about_ca_system_score_gemma":0.02816449,"threshold_uncertainty_score":0.22359163},"labels":[],"label_agreement":null},{"id":"W4224125781","doi":"10.3390/en15082938","title":"Recent Advances in Small-Scale Carbon Capture Systems for Micro-Combined Heat and Power Applications","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Process engineering; Cogeneration; Environmental science; Fossil fuel; Organic Rankine cycle; Carbon capture and storage (timeline); Prime mover; Combustion; Electricity generation; Integrated gasification combined cycle; Waste heat; Combined cycle; Waste management; Turbine; Engineering; Climate change; Mechanical engineering; Heat exchanger; Power (physics); Chemistry","score_opus":0.005227259630017041,"score_gpt":0.1930197032741082,"score_spread":0.18779244364409114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224125781","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":[0.037781283,0.8477622,0.049868673,0.0020737278,0.00096753647,0.00011544009,0.00030390522,0.000381246,0.06074599],"genre_scores_gemma":[0.19643892,0.72992337,0.04921105,0.00079276366,0.0011660041,0.00013690486,0.0006367144,0.00010122814,0.02159302],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997147,0.000028788536,0.00002268322,0.00007692267,0.0001343978,0.000022573506],"domain_scores_gemma":[0.999485,0.00017235852,0.00007037111,0.00004197317,0.00019398575,0.00003620474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057723944,0.00044762724,0.00044590223,0.00073418446,0.00022862261,0.0007766807,0.00059876154,0.00058419484,0.0060259374],"category_scores_gemma":[0.0005919839,0.00033656645,0.0004602905,0.0016802768,0.00029476202,0.0013105659,0.0005587797,0.0006702045,0.0022479563],"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":[0.0002611788,0.000182211,0.0012460987,0.009416845,0.00007627843,0.00027024103,0.00016182987,0.009585123,0.09799311,0.020605734,0.012948588,0.84725267],"study_design_scores_gemma":[0.00002645831,0.00087600894,0.003283685,0.00062900846,0.00017412481,0.000856743,0.0001661086,0.017939014,0.051984034,0.0050533717,0.9189396,0.00007192725],"about_ca_topic_score_codex":0.0006359463,"about_ca_topic_score_gemma":0.00083384506,"teacher_disagreement_score":0.0060259374,"about_ca_system_score_codex":0.00042430765,"about_ca_system_score_gemma":0.00050276925,"threshold_uncertainty_score":0.020158768},"labels":[],"label_agreement":null},{"id":"W4224224596","doi":"10.3390/en15093007","title":"Lignin Pellets for Advanced Thermochemical Process—From a Single Pellet System to a Laboratory-Scale Pellet Mill","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Mitacs","keywords":"Pellets; Pellet; Pelletizing; Lignin; Raw material; Softwood; Pulp and paper industry; Torrefaction; Heat of combustion; Water content; Materials science; Chemistry; Combustion; Composite material; Pyrolysis","score_opus":0.0047582136640081825,"score_gpt":0.19225303546656564,"score_spread":0.18749482180255744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224224596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9204167,0.0010196972,0.071510784,0.000103290084,0.00014553532,0.00063012046,0.00076898735,0.001383692,0.0040212614],"genre_scores_gemma":[0.87910986,0.0009794517,0.11172507,0.000106323285,0.00006356881,0.00044146128,0.0012210642,0.00033131312,0.0060218414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963117,0.000031108433,0.000031556345,0.0000818453,0.00018070484,0.000043641627],"domain_scores_gemma":[0.99977666,0.000025128611,0.000047000096,0.000050512106,0.000056939964,0.000043836822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591367,0.00063583086,0.0005718054,0.0008537971,0.0004217763,0.00083570083,0.00055296015,0.0005033063,0.0036456976],"category_scores_gemma":[0.0003643109,0.0002797177,0.000612531,0.0006639732,0.00023252427,0.0006878184,0.00053441187,0.0010644991,0.0018003748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026344773,0.00035160515,0.0007006445,0.00020428396,0.000023071389,0.00015198073,0.000035665304,0.00039731895,0.9770725,0.0002525873,0.00018193945,0.02036487],"study_design_scores_gemma":[0.00007850883,0.0016487308,0.0060911924,0.000034682547,0.00008569975,0.00042159008,0.000058576126,0.0030517322,0.9799279,0.00014004312,0.008431244,0.000030066094],"about_ca_topic_score_codex":0.0003131435,"about_ca_topic_score_gemma":0.0010501872,"teacher_disagreement_score":0.0036456976,"about_ca_system_score_codex":0.0002599769,"about_ca_system_score_gemma":0.00036137193,"threshold_uncertainty_score":0.012196064},"labels":[],"label_agreement":null},{"id":"W4224227497","doi":"10.3390/en15093002","title":"An Overview of Extrusion as a Pretreatment Method of Lignocellulosic Biomass","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Institut national de la recherche scientifique","keywords":"Lignocellulosic biomass; Extrusion; Biorefinery; Biomass (ecology); Raw material; Plastics extrusion; Flexibility (engineering); Pulp and paper industry; Downstream (manufacturing); Upstream (networking); Environmental science; Biochemical engineering; Biotechnology; Process engineering; Biofuel; Waste management; Materials science; Computer science; Engineering; Agronomy; Chemistry; Mathematics; Operations management","score_opus":0.029715386014119376,"score_gpt":0.2826412795447033,"score_spread":0.2529258935305839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224227497","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":[0.01313617,0.9086738,0.050663613,0.0004878899,0.00050899666,0.0002411329,0.0007221872,0.00048065488,0.02508553],"genre_scores_gemma":[0.028016634,0.92031753,0.038193993,0.000372005,0.0004768298,0.00020641799,0.0010594783,0.00010517844,0.011251988],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994469,0.000057848945,0.000089861074,0.0001389464,0.00022591482,0.00004049213],"domain_scores_gemma":[0.9997906,0.000082994055,0.000044868964,0.000015669762,0.000056149413,0.000009852005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006412877,0.0013819035,0.0010426829,0.0029937197,0.00041477592,0.0011253533,0.0007010374,0.0009759189,0.0036335157],"category_scores_gemma":[0.00040517267,0.0006987033,0.0010288993,0.0026661113,0.00036223818,0.0019110853,0.00055151875,0.001242447,0.0027513313],"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":[0.0002792726,0.00036083223,0.000978012,0.02927209,0.00015547582,0.0010916397,0.00030824638,0.0052003213,0.19875795,0.018397477,0.0104092555,0.7347894],"study_design_scores_gemma":[0.000013034742,0.0006949688,0.002685602,0.0017675186,0.00015613201,0.0024839656,0.000112139605,0.0021378594,0.10403748,0.0030884128,0.8827192,0.000103549304],"about_ca_topic_score_codex":0.00060169626,"about_ca_topic_score_gemma":0.0007775023,"teacher_disagreement_score":0.0036335157,"about_ca_system_score_codex":0.0005007128,"about_ca_system_score_gemma":0.00055139785,"threshold_uncertainty_score":0.012155354},"labels":[],"label_agreement":null},{"id":"W4224247074","doi":"10.3390/en15093014","title":"Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cloud computing; Photovoltaic system; Computer science; Naive Bayes classifier; Interoperability; Fault (geology); Support vector machine; Software; Real-time computing; Artificial intelligence; Ensemble forecasting; Machine learning; Embedded system; Engineering; Operating system; Electrical engineering","score_opus":0.026322392202453488,"score_gpt":0.271535481115694,"score_spread":0.24521308891324048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224247074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1505844,0.0036806748,0.78984016,0.0023503562,0.0010381454,0.00043398843,0.0007309157,0.00959792,0.041743387],"genre_scores_gemma":[0.9230902,0.0010358285,0.06810514,0.00060497125,0.00018577742,0.00017268074,0.00049890403,0.00009359479,0.0062129293],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996045,0.00004359757,0.000027754222,0.00009685079,0.00015104849,0.00007621738],"domain_scores_gemma":[0.9997855,0.000028974904,0.000030730465,0.000032566546,0.00009180532,0.000030526586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543438,0.0004824605,0.000645013,0.00067465747,0.00071879075,0.00093988696,0.0011160935,0.0005499982,0.0023578517],"category_scores_gemma":[0.00050284166,0.00019882318,0.00053770567,0.0009351813,0.00021385023,0.0012571424,0.00069517054,0.00048721975,0.0006423909],"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":[0.0014082709,0.000860009,0.018964233,0.0006774185,0.00033324168,0.0025812725,0.00033480482,0.13175887,0.099956505,0.031468235,0.05666876,0.6549884],"study_design_scores_gemma":[0.0000576044,0.00014118067,0.003926603,0.00003940248,0.00006706341,0.0003173716,0.000076692384,0.95815504,0.01858541,0.005275919,0.013315838,0.00004195244],"about_ca_topic_score_codex":0.0035376996,"about_ca_topic_score_gemma":0.0036438932,"teacher_disagreement_score":0.0035376996,"about_ca_system_score_codex":0.0006921481,"about_ca_system_score_gemma":0.00072608126,"threshold_uncertainty_score":0.007887781},"labels":[],"label_agreement":null},{"id":"W4224258259","doi":"10.3390/en15082760","title":"Hybrid Vehicles as a Transition for Full E-Mobility Achievement in Positive Energy Districts: A Comparative Assessment of Real-Driving Emissions","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fuel efficiency; NOx; Pollutant; Energy consumption; Environmental science; Air pollution; Sustainable transport; Automotive engineering; Zero emission; Environmental engineering; Transport engineering; Engineering; Waste management; Combustion; Sustainability","score_opus":0.01336666173321021,"score_gpt":0.2739060979610239,"score_spread":0.26053943622781367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224258259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965707,0.00018928366,0.0005197134,0.000026287691,0.000005834652,0.00002714451,0.00014413818,0.00001415442,0.002502719],"genre_scores_gemma":[0.99870324,0.0001590588,0.00035743995,0.0000038786156,0.0000019571994,0.000011803378,0.00017214422,0.0000025319978,0.0005880635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972504,0.000068757014,0.000010664667,0.000043440337,0.000090006,0.000062100145],"domain_scores_gemma":[0.9998234,0.00002675427,0.000031765845,0.000014917161,0.00007864305,0.000024464409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003494596,0.00028351496,0.00015683811,0.00064085517,0.00035557162,0.00091615255,0.0003328038,0.0003197503,0.001110652],"category_scores_gemma":[0.00037700665,0.000097291886,0.00026618256,0.0008132256,0.00031828193,0.0009909874,0.0005537814,0.00019191288,0.0002778325],"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":[0.0034212456,0.0016326753,0.5846984,0.0013373562,0.00039920764,0.0015061429,0.0033784667,0.04363275,0.034483634,0.009859227,0.0030489129,0.312602],"study_design_scores_gemma":[0.00007235403,0.005167186,0.89344305,0.0001221124,0.00027559584,0.0006094753,0.023731727,0.024128474,0.018523816,0.0019542885,0.031880744,0.00009112365],"about_ca_topic_score_codex":0.0060597244,"about_ca_topic_score_gemma":0.009163741,"teacher_disagreement_score":0.0060597244,"about_ca_system_score_codex":0.00075007166,"about_ca_system_score_gemma":0.0003998097,"threshold_uncertainty_score":0.0120489},"labels":[],"label_agreement":null},{"id":"W4224260616","doi":"10.3390/en15093025","title":"Mesoscale/Microscale and CFD Modeling for Wind Resource Assessment: Application to the Andaman Coast of Southern Thailand","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","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":"Université de Moncton","funders":"Energy Policy and Planning Office; Thaksin University","keywords":"Mesoscale meteorology; Weather Research and Forecasting Model; Environmental science; Wind power; Meteorology; Computational fluid dynamics; Wind speed; Microscale chemistry; Wind resource assessment; Wind shear; Turbine; Wind direction; Geography; Engineering","score_opus":0.008333884099217712,"score_gpt":0.2278380752997101,"score_spread":0.2195041912004924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224260616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560989,0.0003439578,0.035496682,0.00028083302,0.000025226567,0.00007434837,0.00056957075,0.00020121783,0.0069092293],"genre_scores_gemma":[0.9926037,0.0001976177,0.0063470397,0.000009466454,0.000007873185,0.0000284676,0.00013831956,0.000014132996,0.00065323204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999161,0.000026484877,0.000006671273,0.000016107826,0.000018503446,0.00001621618],"domain_scores_gemma":[0.9997631,0.0001055812,0.000034458742,0.000015791988,0.000052339656,0.000028818662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021179304,0.00044220162,0.00028140235,0.00037916383,0.0004454761,0.0009640418,0.0003667626,0.0005750007,0.0008292486],"category_scores_gemma":[0.0005056158,0.00025893372,0.0006186969,0.0006071647,0.0002944424,0.00049052085,0.0005002374,0.0004303946,0.00009272711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016253774,0.000024186616,0.0077847857,0.000017255188,0.000014573292,0.00016963786,0.000032114687,0.9869991,0.00094435026,0.00034723151,0.00008564587,0.003564923],"study_design_scores_gemma":[0.0000055939413,0.000013894037,0.0022310733,0.0000039345646,0.0000051689635,0.000019218658,0.00006671785,0.996968,0.00033385018,0.000156961,0.00018880209,0.0000069096773],"about_ca_topic_score_codex":0.059245095,"about_ca_topic_score_gemma":0.034313828,"teacher_disagreement_score":0.059245095,"about_ca_system_score_codex":0.0006125155,"about_ca_system_score_gemma":0.0010812047,"threshold_uncertainty_score":0.117800534},"labels":[],"label_agreement":null},{"id":"W4224293844","doi":"10.3390/en15082961","title":"Modeling, Analysis, Design, and Simulation of a Bidirectional DC-DC Converter with Integrated Snow Removal Functionality for Solar PV Electric Vehicle Charger Applications","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Photovoltaic system; Battery (electricity); Maximum power point tracking; Automotive engineering; Grid-connected photovoltaic power system; Solar energy; Electrical engineering; Snow; Computer science; Power (physics); Environmental science; Engineering; Voltage; Meteorology; Physics","score_opus":0.019642149718791985,"score_gpt":0.24803273848947407,"score_spread":0.22839058877068208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224293844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2147885,0.00095007534,0.72231835,0.00041729587,0.00015591364,0.00042922463,0.0006956958,0.0020182854,0.058226686],"genre_scores_gemma":[0.9619015,0.0004921338,0.02694212,0.000031794036,0.000011026417,0.0002445311,0.00020587698,0.00006149578,0.010109579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998833,0.000023723363,0.000004906324,0.000017208018,0.00005406809,0.00001679949],"domain_scores_gemma":[0.9999155,0.000029921144,0.0000103013745,0.000009754494,0.000028866685,0.000005694366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019220258,0.0004869245,0.00056989485,0.00024870224,0.00044300596,0.00081431697,0.00070944935,0.00058455433,0.003695326],"category_scores_gemma":[0.00024005095,0.00025875037,0.00063867564,0.00032124753,0.00023416997,0.0003861661,0.000237859,0.0006373528,0.0006851965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007183013,0.000060555605,0.00085234974,0.00016138075,0.000033417717,0.00011696835,0.000047331563,0.9734842,0.010993055,0.0017452717,0.00052618695,0.011907396],"study_design_scores_gemma":[0.000010470914,0.000053347983,0.00024754583,0.000007708576,0.00001216639,0.000023584262,0.000013110643,0.9940556,0.0037146735,0.0002797832,0.0015775329,0.000004444408],"about_ca_topic_score_codex":0.006544679,"about_ca_topic_score_gemma":0.006319758,"teacher_disagreement_score":0.006544679,"about_ca_system_score_codex":0.00050650485,"about_ca_system_score_gemma":0.0009526073,"threshold_uncertainty_score":0.013013184},"labels":[],"label_agreement":null},{"id":"W4224299428","doi":"10.3390/en15092973","title":"Free Vibrations of Flexoelectric FGM Conical Nanoshells with Piezoelectric Layers: Modeling and Analysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanoshell; Flexoelectricity; Piezoelectricity; Conical surface; Vibration; Materials science; Material properties; Acoustics; Composite material; Physics; Nanotechnology; Nanoparticle","score_opus":0.007565959361067076,"score_gpt":0.20612916156014077,"score_spread":0.1985632021990737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224299428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6403439,0.0010538939,0.3465953,0.00034623244,0.00007008376,0.0000525663,0.00011453976,0.00010794559,0.011315504],"genre_scores_gemma":[0.9796268,0.00024167428,0.016624566,0.00004677235,0.000009991772,0.000039031267,0.00004851492,0.000020661655,0.0033418983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992824,0.000013228759,0.000003294381,0.000016562544,0.000025780957,0.000012829006],"domain_scores_gemma":[0.99993014,0.000022404054,0.000014733756,0.000011492095,0.000012103301,0.000008989693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020415973,0.0003203581,0.0002668931,0.0001953941,0.00016783812,0.0003271614,0.0005707586,0.0010452269,0.00060065434],"category_scores_gemma":[0.00026889425,0.00020242993,0.0004522855,0.0001471329,0.000572677,0.00046342076,0.00040515605,0.0002789273,0.00011116631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008881546,0.0000921803,0.0026439836,0.00015609348,0.000051868978,0.00076293113,0.00021822353,0.74505377,0.18917261,0.050203323,0.00051348505,0.011042743],"study_design_scores_gemma":[0.0000028836141,0.000013887984,0.00035859452,0.00000264197,0.0000022273878,0.000036233687,0.00001401303,0.99664956,0.001752679,0.0009883366,0.00017461824,0.000004308139],"about_ca_topic_score_codex":0.0010953742,"about_ca_topic_score_gemma":0.00094316347,"teacher_disagreement_score":0.0010953742,"about_ca_system_score_codex":0.0002653803,"about_ca_system_score_gemma":0.00021466597,"threshold_uncertainty_score":0.0021779537},"labels":[],"label_agreement":null},{"id":"W4224933804","doi":"10.3390/en15041264","title":"Energy-Based Approaches in Estimating Actual Evapotranspiration Focusing on Land Surface Temperature: A Review of Methods, Concepts, and Challenges","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Evapotranspiration; Energy balance; Aerodynamics; Energy budget; Environmental science; Range (aeronautics); Closure (psychology); Energy (signal processing); Satellite; Meteorology; Surface (topology); Computer science; Remote sensing; Mathematics; Aerospace engineering; Statistics; Engineering; Geography; Physics","score_opus":0.11399828913944407,"score_gpt":0.3278944360387861,"score_spread":0.21389614689934203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224933804","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":[0.0002364875,0.99392647,0.0034946857,0.0002514565,0.00022420101,0.00001689453,0.00006711978,0.000020890528,0.00176169],"genre_scores_gemma":[0.001663035,0.99447,0.0030919218,0.000103964216,0.00017727073,0.0000233935,0.0000862535,0.00000885009,0.00037530754],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992405,0.00013271825,0.00011772211,0.00021616055,0.00025999645,0.000032891418],"domain_scores_gemma":[0.99830985,0.0011286377,0.00014732857,0.00006505865,0.00031977973,0.000029389856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019331751,0.0016621272,0.0021331515,0.004270026,0.0003633756,0.0015585507,0.0016822113,0.001399545,0.003060472],"category_scores_gemma":[0.0023451508,0.00082539476,0.0013696756,0.0060367286,0.0008566477,0.003190499,0.0009445642,0.0018610619,0.0016801906],"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":[0.000039880946,0.000077916106,0.0006452376,0.041369926,0.00022680733,0.00011012859,0.000120072,0.0032800778,0.0018944921,0.02066837,0.010127787,0.9214393],"study_design_scores_gemma":[0.000014607482,0.0001556091,0.0023184076,0.011590717,0.00049795146,0.0007109769,0.000177336,0.0023004687,0.002031208,0.012276012,0.9677991,0.00012756744],"about_ca_topic_score_codex":0.0032948847,"about_ca_topic_score_gemma":0.0032441698,"teacher_disagreement_score":0.004270026,"about_ca_system_score_codex":0.0008980596,"about_ca_system_score_gemma":0.0018409657,"threshold_uncertainty_score":0.01023823},"labels":[],"label_agreement":null},{"id":"W4225162688","doi":"10.3390/en15093249","title":"Advances in Thermal Management Technologies of Electrical Machines","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Thermal management of electronic devices and systems; Water cooling; Armature (electrical engineering); Mechanical engineering; Thermal; Torque; Automotive engineering; Computer science; Electrical engineering; Engineering; Electromagnetic coil; Physics","score_opus":0.0030733182991420794,"score_gpt":0.188100942566737,"score_spread":0.18502762426759492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225162688","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":[0.009516845,0.9204541,0.052772228,0.0006244518,0.00039046197,0.00006704349,0.00010433412,0.000113596725,0.01595704],"genre_scores_gemma":[0.099595696,0.85786396,0.035977557,0.00031030105,0.0006475777,0.00013782413,0.00018850312,0.00007494704,0.005203604],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991986,0.00017963184,0.000098583725,0.00016854618,0.00031146302,0.000043058306],"domain_scores_gemma":[0.99908566,0.0005250315,0.00013190016,0.000046929104,0.0001982777,0.000012207842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009918181,0.00066375744,0.0007323184,0.001654384,0.00023276672,0.0011842551,0.00075068197,0.00062045956,0.0019717172],"category_scores_gemma":[0.001679598,0.00042778227,0.00072879455,0.0017895031,0.00046096102,0.0022765386,0.00044434203,0.0007263003,0.00053672283],"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":[0.00009034106,0.00008986964,0.0009775547,0.03129616,0.00014802918,0.00016024205,0.0002862932,0.011366268,0.02571453,0.03530873,0.004588775,0.8899732],"study_design_scores_gemma":[0.000028338336,0.0005649449,0.00444612,0.009117706,0.00047113415,0.0013031453,0.0003720332,0.017486164,0.04827127,0.029315734,0.888504,0.000119421435],"about_ca_topic_score_codex":0.00050148414,"about_ca_topic_score_gemma":0.00068369554,"teacher_disagreement_score":0.0019717172,"about_ca_system_score_codex":0.00061274495,"about_ca_system_score_gemma":0.00091217994,"threshold_uncertainty_score":0.0065960884},"labels":[],"label_agreement":null},{"id":"W4225642654","doi":"10.3390/en15072595","title":"Pitfalls of Using Biomarker Maturity Parameters for Organic Matter Maturity Assessment Suggested by Coal Hydrous Pyrolysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Hopanoids; Sterane; Maturity (psychological); Biomarker; Pyrolysis; Kerogen; Chemistry; Coal; Source rock; Asphaltene; Asphalt; Isomerization; Fractionation; Mineralogy; Geology; Chromatography; Organic chemistry; Materials science; Paleontology; Biochemistry","score_opus":0.01374873217207282,"score_gpt":0.26228725067512176,"score_spread":0.24853851850304895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225642654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5963639,0.031282134,0.34568357,0.0024644765,0.0012869295,0.0005349363,0.0027321342,0.0019226613,0.017729262],"genre_scores_gemma":[0.8877185,0.005605985,0.102011465,0.0008173316,0.00016171354,0.00030013514,0.0009344899,0.0003060799,0.0021442953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99370366,0.0018488965,0.0004608089,0.0013780132,0.0022796504,0.0003289801],"domain_scores_gemma":[0.9936108,0.002404375,0.00092324254,0.0009170333,0.001981028,0.00016338931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008831438,0.0014183072,0.0010017277,0.00252563,0.00071511755,0.00235175,0.0012687776,0.001122369,0.0008959348],"category_scores_gemma":[0.016586253,0.000616427,0.0006151385,0.0017235343,0.0012178632,0.0020478766,0.0017971009,0.0019781997,0.0009915503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010915541,0.0003587716,0.21637222,0.0037634221,0.00089765846,0.0010608946,0.0028693995,0.012085056,0.48689863,0.008504312,0.0056732656,0.26042482],"study_design_scores_gemma":[0.00006773882,0.001294354,0.18363625,0.0018815406,0.0008162014,0.0029980247,0.00572337,0.13380073,0.5697603,0.03714344,0.062380668,0.00049738586],"about_ca_topic_score_codex":0.0022326175,"about_ca_topic_score_gemma":0.0048048547,"teacher_disagreement_score":0.008831438,"about_ca_system_score_codex":0.0004494311,"about_ca_system_score_gemma":0.0009719298,"threshold_uncertainty_score":0.046705663},"labels":[],"label_agreement":null},{"id":"W4225893674","doi":"10.3390/en15072574","title":"Evaluation of the Effects of Yielding Rockbolts on Controlling Self-Initiated Strainbursts: A Numerical Study","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rebar; Rock bolt; Stiffness; Grout; Structural engineering; Geotechnical engineering; Materials science; Composite material; Geology; Engineering","score_opus":0.022203584821417703,"score_gpt":0.24806990099164444,"score_spread":0.22586631617022673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225893674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715493,0.00015260013,0.024914376,0.000054536707,0.00001837449,0.00003222902,0.00010886874,0.00017052892,0.0029992005],"genre_scores_gemma":[0.9941869,0.000070304224,0.005263997,0.0000075289336,0.0000018471908,0.000014397638,0.000036707846,0.00001586216,0.00040237096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998561,0.000023013117,0.000010964352,0.00002120553,0.00005445332,0.00003425895],"domain_scores_gemma":[0.99943024,0.00027601147,0.00010372565,0.00006657868,0.0000798248,0.00004350998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039973046,0.00043469618,0.00042491782,0.00041721293,0.00034368792,0.00046344593,0.000518841,0.0006967693,0.0012512911],"category_scores_gemma":[0.0010179664,0.00024967443,0.000475301,0.0002499972,0.0005023001,0.00042349825,0.00039369398,0.00031101558,0.00010104405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011192904,0.00011209002,0.0078116013,0.00012499944,0.000025717225,0.000271835,0.00012930662,0.9508387,0.032214243,0.00063771015,0.00013754764,0.007584267],"study_design_scores_gemma":[0.000007797861,0.000084828134,0.0017860413,0.000007191362,0.000010991335,0.00003336169,0.000060784874,0.99305713,0.0046506706,0.000074388015,0.00021664682,0.000010127451],"about_ca_topic_score_codex":0.0047530388,"about_ca_topic_score_gemma":0.003867809,"teacher_disagreement_score":0.0047530388,"about_ca_system_score_codex":0.00026891887,"about_ca_system_score_gemma":0.00036421922,"threshold_uncertainty_score":0.009450793},"labels":[],"label_agreement":null},{"id":"W4226083168","doi":"10.3390/en15020623","title":"Smart Core and Surface Temperature Estimation Techniques for Health-Conscious Lithium-Ion Battery Management Systems: A Model-to-Model Comparison","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Kalman filter; Online model; MATLAB; Core (optical fiber); Computer science; Process (computing); Extended Kalman filter; Lithium-ion battery; Simulation; Reliability engineering; Engineering; Power (physics)","score_opus":0.028447659831924165,"score_gpt":0.30844246584808555,"score_spread":0.2799948060161614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226083168","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2512519,0.0025106478,0.7329891,0.0004371931,0.00010645395,0.00019705875,0.00024034652,0.002472187,0.009795081],"genre_scores_gemma":[0.9736683,0.0006361738,0.023902154,0.00003891377,0.000013859843,0.00010054161,0.0001539592,0.00006951527,0.001416663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980634,0.00005636716,0.000014592438,0.00003805658,0.00006288403,0.000021815242],"domain_scores_gemma":[0.99946433,0.00028889056,0.000045804645,0.000052242147,0.0001372126,0.000011491058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060966454,0.0006909997,0.00079491374,0.00036810365,0.0002535779,0.0007661237,0.0005860441,0.00063370436,0.0015057048],"category_scores_gemma":[0.0014753317,0.00023593394,0.00070696726,0.0002534742,0.00017794456,0.00082314375,0.00044791173,0.0006435022,0.0003150594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027019612,0.000108678905,0.0014594264,0.00024889046,0.00006491215,0.000053121876,0.00009571344,0.92892253,0.006920781,0.0015775497,0.0005277978,0.059750363],"study_design_scores_gemma":[0.0000053761514,0.0000773933,0.00042374473,0.000006839336,0.000011891385,0.0000111662675,0.000013602202,0.99738044,0.00151351,0.00022387509,0.00032684006,0.0000052730725],"about_ca_topic_score_codex":0.005856331,"about_ca_topic_score_gemma":0.00334072,"teacher_disagreement_score":0.005856331,"about_ca_system_score_codex":0.0004923393,"about_ca_system_score_gemma":0.0005391691,"threshold_uncertainty_score":0.011644483},"labels":[],"label_agreement":null},{"id":"W4226399983","doi":"10.3390/en15072634","title":"Dust and Particulate Matter Generated during Handling and Pelletization of Herbaceous Biomass: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"BioFuelNet Canada","keywords":"Herbaceous plant; Biomass (ecology); Environmental science; Pellets; Straw; Particulates; Waste management; Agronomy; Engineering; Materials science; Ecology","score_opus":0.015863352144532796,"score_gpt":0.2308173881400082,"score_spread":0.2149540359954754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226399983","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":[0.0003663368,0.99860615,0.00010499399,0.00007523158,0.000090237954,0.0000050575254,0.00003603298,0.0000046868327,0.0007113462],"genre_scores_gemma":[0.0015262322,0.9976908,0.00014653457,0.000055856275,0.00006416339,0.0000053943077,0.00004660615,0.0000012499304,0.00046325935],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997918,0.000025007736,0.000037033977,0.000048835464,0.00008019933,0.000017036013],"domain_scores_gemma":[0.9995327,0.00024485195,0.000086770524,0.000009819039,0.00010824027,0.000017694121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045649603,0.0009987539,0.0011382716,0.0028892872,0.00027106208,0.0010354769,0.000614953,0.00085728616,0.0037754583],"category_scores_gemma":[0.00065634435,0.0003394045,0.00084873074,0.0024651063,0.0002353148,0.0010170504,0.0004559987,0.00059278193,0.0012239034],"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":[0.00009311759,0.00013773101,0.00078666344,0.09504522,0.00025971123,0.00032219087,0.0001177595,0.00070209964,0.0035036418,0.00209658,0.014263741,0.8826715],"study_design_scores_gemma":[0.000010978968,0.00025703743,0.0035664423,0.014258071,0.00063500745,0.0016747651,0.00019731927,0.00023153375,0.002685123,0.0014733549,0.97496617,0.000044094777],"about_ca_topic_score_codex":0.0014946815,"about_ca_topic_score_gemma":0.0021149958,"teacher_disagreement_score":0.0037754583,"about_ca_system_score_codex":0.00030506492,"about_ca_system_score_gemma":0.0009706046,"threshold_uncertainty_score":0.012630105},"labels":[],"label_agreement":null},{"id":"W4229049305","doi":"10.3390/en15072384","title":"Energy Efficiency and Industry 4.0 in Wood Industry: A Review and Comparison to Other Industries","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Efficient energy use; Manufacturing; Energy consumption; Focus (optics); Tertiary sector of the economy; Computer science; Energy (signal processing); Industrial organization; Manufacturing engineering; Engineering; Business; Marketing; Artificial intelligence; Mathematics","score_opus":0.04205103492504157,"score_gpt":0.2936721261727983,"score_spread":0.2516210912477567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229049305","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":[0.00021158441,0.99869955,0.000073343705,0.00018470672,0.00007483066,0.0000056865515,0.000019248515,0.000001973491,0.00072903984],"genre_scores_gemma":[0.0021248832,0.9973429,0.00016389403,0.00015456739,0.000066071625,0.00000899473,0.000026525753,0.0000015760663,0.00011064832],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835795,0.00040751797,0.00041759337,0.00019665832,0.0005322653,0.0000880238],"domain_scores_gemma":[0.9922271,0.0058008484,0.00088444067,0.00009142252,0.0009074546,0.000088847184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027268906,0.00088650524,0.0017074302,0.013332434,0.00048979337,0.00232754,0.0009234226,0.0014021484,0.0036074216],"category_scores_gemma":[0.0062926416,0.0005415832,0.0018330276,0.01817523,0.00075279485,0.0027547784,0.00091713865,0.0010597213,0.00069621304],"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":[0.00008852932,0.00008180263,0.0013993086,0.30460143,0.0007532286,0.00023166837,0.0004045801,0.00049579266,0.000615284,0.008896608,0.011022386,0.6714095],"study_design_scores_gemma":[0.000021686206,0.0001959127,0.010230129,0.2037211,0.0030605795,0.0011857976,0.0009675212,0.00027178883,0.00087905023,0.0035886376,0.77580994,0.000067820445],"about_ca_topic_score_codex":0.004714774,"about_ca_topic_score_gemma":0.010718489,"teacher_disagreement_score":0.013332434,"about_ca_system_score_codex":0.0017891404,"about_ca_system_score_gemma":0.004497135,"threshold_uncertainty_score":0.014421403},"labels":[],"label_agreement":null},{"id":"W4229331795","doi":"10.3390/en15093424","title":"Murree Clay Problems and Water-Based Drilling Mud Optimization: A Case Study from the Kohat Basin in Northwestern Pakistan","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Drilling fluid; Rheology; Drilling; Geology; Petroleum engineering; Environmental science; Materials science; Composite material; Metallurgy","score_opus":0.011423813389872048,"score_gpt":0.2010456640501028,"score_spread":0.18962185066023074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229331795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846727,0.00007737787,0.00062692456,0.00006392523,0.0000029873859,0.00002231415,0.00006273049,0.0000082937295,0.0006681894],"genre_scores_gemma":[0.9968286,0.00014211524,0.0021964908,0.000013191273,0.0000028215136,0.000009695767,0.00010094707,0.000005018813,0.00070100196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974316,0.00003618716,0.000018704563,0.000046393685,0.00008869318,0.00006685107],"domain_scores_gemma":[0.9996582,0.00012907748,0.00005763757,0.000018707327,0.00007838522,0.000057936377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011106,0.00043576202,0.0004351008,0.00064116396,0.001231769,0.0007085841,0.0006110001,0.0010169831,0.00055521925],"category_scores_gemma":[0.0005751824,0.00018842914,0.00031895324,0.0007822929,0.00074845296,0.00046640483,0.00060398824,0.00035588787,0.000077657314],"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":[0.0017672539,0.0025446683,0.3478674,0.00112063,0.0003006431,0.11629392,0.0064182687,0.31628326,0.092170715,0.0041600573,0.003767288,0.10730587],"study_design_scores_gemma":[0.00033490694,0.0031966525,0.39108264,0.00019527723,0.00036511687,0.010488249,0.045282446,0.45841783,0.067223564,0.004076045,0.019049006,0.0002883372],"about_ca_topic_score_codex":0.038135163,"about_ca_topic_score_gemma":0.08967571,"teacher_disagreement_score":0.038135163,"about_ca_system_score_codex":0.0009156587,"about_ca_system_score_gemma":0.0011240115,"threshold_uncertainty_score":0.07582641},"labels":[],"label_agreement":null},{"id":"W4229335382","doi":"10.3390/en15093425","title":"Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":48,"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":"Imam Abdulrahman Bin Faisal University; University of Bahrain","keywords":"Nonlinear autoregressive exogenous model; Autoregressive model; Computer science; Bayesian probability; Hyperparameter; Term (time); Algorithm; Statistics; Artificial intelligence; Mathematics","score_opus":0.027489002542927292,"score_gpt":0.20924003054195484,"score_spread":0.18175102799902754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229335382","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009036946,0.00064379215,0.98715186,0.00023828557,0.000025616673,0.000041582498,0.000085602616,0.00030194715,0.002474478],"genre_scores_gemma":[0.38150445,0.0021762196,0.609288,0.00024431085,0.00015801584,0.00045360095,0.0007796991,0.00017062465,0.0052250964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992835,0.00027114083,0.000049632556,0.000101936654,0.00025078483,0.000042977117],"domain_scores_gemma":[0.99867105,0.0008722703,0.00013068099,0.000043487253,0.00025755828,0.000025028205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016336652,0.00096616684,0.0010401852,0.0013657173,0.00036337454,0.000942185,0.0010021057,0.0009120252,0.0011811176],"category_scores_gemma":[0.004428401,0.00069859845,0.00079417625,0.0014444257,0.00049518724,0.0011554104,0.00058224844,0.0011283868,0.00038135133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011530435,0.000028377406,0.00089416956,0.00003610276,0.000053564283,0.000012157457,0.000016467136,0.94910353,0.00031978535,0.0058604674,0.00042952463,0.043234225],"study_design_scores_gemma":[0.0000018724018,0.0000048138945,0.00016946888,0.0000038198814,0.0000028578256,0.0000020488983,0.0000031964646,0.9974904,0.00006345756,0.0019529539,0.00030192404,0.000003222478],"about_ca_topic_score_codex":0.040752392,"about_ca_topic_score_gemma":0.035379007,"teacher_disagreement_score":0.040752392,"about_ca_system_score_codex":0.0013085534,"about_ca_system_score_gemma":0.002549029,"threshold_uncertainty_score":0.08103037},"labels":[],"label_agreement":null},{"id":"W4229449388","doi":"10.3390/en15103480","title":"Enhanced Reactive Power Sharing and Voltage Restoration Based on Adaptive Virtual Impedance and Consensus Algorithm","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"AC power; Voltage droop; Microgrid; Controller (irrigation); Electrical impedance; Control theory (sociology); Computer science; Voltage; Electronic engineering; Power (physics); Engineering; Voltage source; Electrical engineering; Control (management); Artificial intelligence","score_opus":0.0047871754842429585,"score_gpt":0.182422357169773,"score_spread":0.17763518168553005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229449388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015934767,0.00010679716,0.9805767,0.00008573613,0.00003501091,0.00003280869,0.000011641851,0.00031057658,0.0029059274],"genre_scores_gemma":[0.91673696,0.00012610097,0.08003428,0.000050939776,0.000028650866,0.00010345181,0.000039668157,0.000040102845,0.0028398938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996061,0.00009202541,0.000024580711,0.000100828984,0.00012920154,0.000047428435],"domain_scores_gemma":[0.99966013,0.00009972908,0.00007192305,0.00003377147,0.000111848174,0.000022438733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052990235,0.00068707706,0.00074317685,0.0003920995,0.0004480945,0.0006673656,0.001046973,0.0005888383,0.0015276733],"category_scores_gemma":[0.0009658212,0.00023198615,0.0004191048,0.0004167028,0.00048716262,0.00083105447,0.0008574537,0.0006357233,0.00024785526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001010876,0.000047886482,0.00024170599,0.000060209175,0.000029645478,0.00008783723,0.00010552759,0.92718375,0.0070268116,0.010624638,0.0007707719,0.05372022],"study_design_scores_gemma":[0.000009233138,0.00003066337,0.000033616794,0.0000016690243,0.0000032510027,0.000012121452,0.0000051310435,0.9979679,0.0005439179,0.0011345226,0.00025447764,0.0000034084383],"about_ca_topic_score_codex":0.003013379,"about_ca_topic_score_gemma":0.0020715708,"teacher_disagreement_score":0.003013379,"about_ca_system_score_codex":0.00044761994,"about_ca_system_score_gemma":0.0006515268,"threshold_uncertainty_score":0.0059916377},"labels":[],"label_agreement":null},{"id":"W4229455215","doi":"10.3390/en15093359","title":"Intelligent and Optimized Microgrids for Future Supply Power from Renewable Energy Resources: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Microgrid; Electricity generation; Environmental economics; Wind power; Distributed generation; Greenhouse gas; Fossil fuel; Reliability (semiconductor); Electric power system; Cost of electricity by source; Reliability engineering; Computer science; Engineering; Power (physics); Electrical engineering; Waste management; Economics","score_opus":0.02546406550666678,"score_gpt":0.27217499410126506,"score_spread":0.24671092859459828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229455215","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":[0.00037627434,0.9962381,0.0011872568,0.000155229,0.00017097205,0.000011692458,0.000033316177,0.000021474712,0.0018056509],"genre_scores_gemma":[0.0020256985,0.9960299,0.0010952691,0.00008241138,0.00010279107,0.000011167685,0.00005709428,0.000004737109,0.00059083453],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999846,0.000019287121,0.000021666076,0.000031640997,0.00006738798,0.00001402297],"domain_scores_gemma":[0.99968815,0.00014387025,0.00004931119,0.000013225431,0.000088448425,0.00001696667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004237405,0.00096741767,0.0010898384,0.0016262974,0.00021967903,0.00093756476,0.00089568604,0.00087770406,0.0030022657],"category_scores_gemma":[0.0006125342,0.00036597849,0.00074851036,0.002162252,0.00024100451,0.0014010053,0.0005162076,0.00084497646,0.0012852792],"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":[0.000057429523,0.00009718105,0.00021083416,0.026613412,0.0001574068,0.00014679415,0.000050877945,0.002904334,0.0027811788,0.0066335173,0.014550748,0.9457962],"study_design_scores_gemma":[0.00002050894,0.00022246296,0.0007920064,0.006141747,0.0003665577,0.00095059664,0.00008371467,0.0013784287,0.0018073972,0.0037610272,0.98442656,0.000048949136],"about_ca_topic_score_codex":0.0008890392,"about_ca_topic_score_gemma":0.0012196708,"teacher_disagreement_score":0.0030022657,"about_ca_system_score_codex":0.00030858626,"about_ca_system_score_gemma":0.0007294873,"threshold_uncertainty_score":0.010043561},"labels":[],"label_agreement":null},{"id":"W4235908737","doi":"10.3390/en13020446","title":"A Topology Synthetization Method for Single-Phase, Full-Bridge, Transformerless Inverter with Leakage Current Suppression—Part II","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Network topology; Topology (electrical circuits); Inverter; Leakage (economics); Pulse-width modulation; Computer science; Engineering; Voltage; Electrical engineering","score_opus":0.03818217000599463,"score_gpt":0.2769937354422841,"score_spread":0.23881156543628948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235908737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015277581,0.00025782257,0.9914963,0.000040015468,0.00006976326,0.000052435164,0.000037324993,0.0001791046,0.006339384],"genre_scores_gemma":[0.11600648,0.0013716948,0.8706798,0.000097425785,0.00009699674,0.00026338172,0.0003439887,0.00020567782,0.0109346295],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998267,0.000035170993,0.000016156384,0.000033473643,0.000081605795,0.0000067590345],"domain_scores_gemma":[0.9998975,0.000023106348,0.000014730886,0.000020390775,0.000039937247,0.000004310649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024098223,0.00046372943,0.0002409411,0.0006085168,0.00030808683,0.0005537719,0.00059045316,0.00034208613,0.0061106407],"category_scores_gemma":[0.00041776095,0.00023887421,0.0003515604,0.00043045965,0.00034549108,0.00097382674,0.00041156728,0.0005823103,0.0017546186],"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":[0.000040967192,0.000054474585,0.00020863829,0.0008901692,0.000033382694,0.00046119266,0.00037534267,0.035056233,0.15894836,0.2543044,0.0070852805,0.54254144],"study_design_scores_gemma":[0.00004966612,0.00028930343,0.0006437598,0.00026216483,0.00005951903,0.0024365233,0.00019552377,0.4120562,0.15559934,0.14931327,0.2790107,0.00008404149],"about_ca_topic_score_codex":0.00018923629,"about_ca_topic_score_gemma":0.00030240606,"teacher_disagreement_score":0.0061106407,"about_ca_system_score_codex":0.00028179053,"about_ca_system_score_gemma":0.0003644082,"threshold_uncertainty_score":0.020442128},"labels":[],"label_agreement":null},{"id":"W4280516541","doi":"10.3390/en15103613","title":"Investigating Long-Term Commitments to Replace Electricity Generation with SMRs and Estimates of Climate Change Impact Costs Using a Modified VENSIM Dynamic Integrated Climate Economy (DICE) Model","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","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":"Ontario Tech University","funders":"University of Ontario Institute of Technology","keywords":"Environmental science; Climate change; Climate model; Nuclear power; Dice; Electricity; Liberian dollar; Representative Concentration Pathways; Energy modeling; Natural resource economics; Meteorology; Energy consumption; Engineering; Economics","score_opus":0.11247388743461675,"score_gpt":0.3007497108506473,"score_spread":0.18827582341603052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280516541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97648484,0.00019993084,0.0061260047,0.00037808352,0.000026936917,0.00005778675,0.0020972332,0.00008460851,0.014544599],"genre_scores_gemma":[0.9940912,0.00013297486,0.0029607245,0.000045593606,0.000005023935,0.00004453106,0.000988823,0.00002786725,0.0017033179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996973,0.00012751008,0.000013168288,0.000047047488,0.000048225604,0.00006675002],"domain_scores_gemma":[0.99836224,0.001150209,0.00013975658,0.00007310905,0.00016854984,0.00010615637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012586603,0.0007198756,0.000568784,0.0006894538,0.00033269468,0.0011008338,0.0011437088,0.0011306023,0.0027433531],"category_scores_gemma":[0.002967859,0.0005126352,0.0009416815,0.00094929937,0.00041015766,0.0009374138,0.00058227003,0.0008433838,0.00018756442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056750825,0.000018999179,0.0020337414,0.000016811178,0.000021726173,0.00003192581,0.000009761145,0.9958534,0.00016366581,0.00097164157,0.00014707375,0.0006744491],"study_design_scores_gemma":[0.000036166737,0.00010524363,0.0023062716,0.0000105004365,0.00002588134,0.000011059957,0.00007733994,0.99562705,0.0004007961,0.00062745746,0.00075781305,0.000014337703],"about_ca_topic_score_codex":0.08140731,"about_ca_topic_score_gemma":0.056166124,"teacher_disagreement_score":0.08140731,"about_ca_system_score_codex":0.0024354244,"about_ca_system_score_gemma":0.001378555,"threshold_uncertainty_score":0.1618669},"labels":[],"label_agreement":null},{"id":"W4280531961","doi":"10.3390/en15103779","title":"Performance Assessment of an Air-Type BIPVT Collector with Perforated Baffles through Indoor and Outdoor Experiments","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic 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":true,"ca_institutions":"Natural Resources Canada","funders":"Korea Institute of Energy Technology Evaluation and Planning","keywords":"Baffle; Thermal; Environmental science; Solar thermal collector; Nuclear engineering; Marine engineering; Automotive engineering; Solar energy; Engineering; Mechanical engineering; Meteorology; Electrical engineering","score_opus":0.022201276958771166,"score_gpt":0.2677183266323984,"score_spread":0.24551704967362725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280531961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873225,0.00044657046,0.010535511,0.000028081475,0.000038616043,0.0000901022,0.00021461002,0.00022416504,0.0010998647],"genre_scores_gemma":[0.9936318,0.00016945433,0.005059749,0.000012859964,0.000007322441,0.000042729815,0.00009164069,0.000024824945,0.00095970597],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992644,0.00011589457,0.000045313085,0.00014152288,0.00033337343,0.000099423094],"domain_scores_gemma":[0.99898356,0.00022998637,0.00009926168,0.00012890158,0.00050354656,0.00005470084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009652794,0.00051781215,0.00060111616,0.00041538465,0.00044536064,0.000500919,0.0007000743,0.00068015687,0.000913562],"category_scores_gemma":[0.0009714475,0.00017421994,0.0004509877,0.00040004513,0.00026369753,0.0004224215,0.00038630693,0.00035778817,0.00030405505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009159175,0.00027328212,0.004774396,0.0006262626,0.00006322552,0.0002693703,0.00049660343,0.011445236,0.9548164,0.0002193261,0.00037463475,0.025725408],"study_design_scores_gemma":[0.000048409314,0.0032223177,0.01449517,0.00003835157,0.00009659539,0.00018396712,0.00032252353,0.017886965,0.960854,0.00005996663,0.0027455525,0.00004608644],"about_ca_topic_score_codex":0.0011405825,"about_ca_topic_score_gemma":0.0019108261,"teacher_disagreement_score":0.0011405825,"about_ca_system_score_codex":0.00032602772,"about_ca_system_score_gemma":0.00021479085,"threshold_uncertainty_score":0.005104959},"labels":[],"label_agreement":null},{"id":"W4280566958","doi":"10.3390/en15103774","title":"Choice of the Arch Yielding Support for the Preparatory Roadway Located near the Fault","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Excavation; Arch; Fault (geology); Reinforcement; Structural engineering; Finite element method; Deformation (meteorology); Arch dam; Engineering; Geotechnical engineering; Geology; Seismology","score_opus":0.016974732684040393,"score_gpt":0.23382774175511026,"score_spread":0.21685300907106986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280566958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7606273,0.00009512538,0.2338414,0.000050835,0.000022413491,0.00008694649,0.00010606711,0.00030081207,0.004869133],"genre_scores_gemma":[0.9477348,0.00003426162,0.05103981,0.000002316046,0.0000029181006,0.000020615309,0.000043330074,0.000016317012,0.001105638],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998185,0.000020925776,0.000011897579,0.000046129284,0.000070482056,0.000032115804],"domain_scores_gemma":[0.9997857,0.000036294918,0.00004456545,0.00005110185,0.000048415724,0.00003398953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002028227,0.00049745146,0.00023064257,0.0005601203,0.00035371483,0.0004681375,0.0005697145,0.00039107315,0.0019282209],"category_scores_gemma":[0.000657632,0.00015870656,0.0002718149,0.00020004016,0.0002330203,0.00033542668,0.00041510124,0.00019741077,0.00044603148],"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":[0.0010764353,0.00020764243,0.036707282,0.00050260185,0.000048947495,0.001940063,0.0007677523,0.16774374,0.48794076,0.009722778,0.00089987065,0.2924422],"study_design_scores_gemma":[0.00010111862,0.0029153205,0.055792402,0.00014369523,0.0002119787,0.0023170412,0.0016709915,0.58692056,0.32319343,0.0039367354,0.022647224,0.00014944664],"about_ca_topic_score_codex":0.0008972017,"about_ca_topic_score_gemma":0.0022632268,"teacher_disagreement_score":0.0019282209,"about_ca_system_score_codex":0.00015820253,"about_ca_system_score_gemma":0.00060982344,"threshold_uncertainty_score":0.006450534},"labels":[],"label_agreement":null},{"id":"W4280568347","doi":"10.3390/en15103601","title":"Inter-Provincial Electricity Trading and Its Effects on Carbon Emissions from the Power Industry","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Chinese Academy of Sciences","keywords":"Electricity; Divisia index; Greenhouse gas; Electricity generation; Natural resource economics; Renewable energy; Agricultural economics; Hydropower; Environmental science; Electricity market; Electric power industry; Carbon offset; Economics; Energy intensity; Business; Efficient energy use; Power (physics); Engineering","score_opus":0.006155251745981254,"score_gpt":0.2137006403126767,"score_spread":0.20754538856669544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280568347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929432,0.00035147637,0.0021574544,0.00029884852,0.000016193835,0.000014765228,0.00044346237,0.000036177626,0.003738365],"genre_scores_gemma":[0.9990907,0.000113129434,0.00021426509,0.000012044133,0.0000019865683,0.0000027488836,0.00015157156,0.0000043221685,0.0004092565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993017,0.00015544685,0.00003580676,0.0001058087,0.0001957814,0.00020552594],"domain_scores_gemma":[0.9988919,0.0003623224,0.00020779436,0.000092501745,0.00036410298,0.0000813566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000647589,0.00027771675,0.0002946016,0.00040575996,0.000449303,0.0009819238,0.00044739092,0.00025783354,0.0013474424],"category_scores_gemma":[0.0023184184,0.00014440478,0.00091287156,0.0009823523,0.00040841324,0.000521226,0.00080490427,0.00054012635,0.00010127546],"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":[0.0006536857,0.00018699691,0.7430667,0.00019419086,0.0005970423,0.0014780102,0.0005075936,0.19628577,0.0049965815,0.011300914,0.0017042306,0.03902837],"study_design_scores_gemma":[0.000039164453,0.000120218116,0.70097613,0.00004405671,0.00041544723,0.00020446142,0.0012524804,0.28477108,0.0033147447,0.0049561374,0.0038619922,0.000044108172],"about_ca_topic_score_codex":0.2676367,"about_ca_topic_score_gemma":0.27150887,"teacher_disagreement_score":0.2676367,"about_ca_system_score_codex":0.002336934,"about_ca_system_score_gemma":0.002739962,"threshold_uncertainty_score":0.5321578},"labels":[],"label_agreement":null},{"id":"W4280629581","doi":"10.3390/en15103721","title":"Industrial End-Users’ Preferred Characteristics for Wood Biomass Feedstocks","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Luonnonvarakeskus","keywords":"Biomass (ecology); Procurement; Business; Renewable energy; Bioenergy; Sustainability; End user; Raw material; Portfolio; Environmental science; Environmental economics; Marketing; Computer science; Engineering; Economics; Ecology","score_opus":0.03088441025207838,"score_gpt":0.22086327764051386,"score_spread":0.18997886738843547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280629581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99901867,0.0000253868,0.00021921458,0.0000307083,8.4984003e-7,0.0000063389507,0.00002392418,0.000002219171,0.0006726367],"genre_scores_gemma":[0.9990883,0.000044953777,0.00045942888,0.00003350655,0.0000011872625,0.000007774092,0.000037532176,0.0000015317822,0.00032579846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918264,0.00038129828,0.000069260466,0.00007111544,0.00014374155,0.00015191764],"domain_scores_gemma":[0.9967488,0.001797194,0.0005124922,0.000107642125,0.00045862506,0.0003751909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001786824,0.00018993733,0.0002131014,0.00060360524,0.00044806802,0.0013520136,0.00019963393,0.00039871887,0.0035912506],"category_scores_gemma":[0.00480387,0.00012484072,0.000324598,0.00043136746,0.00034138095,0.0005971353,0.0006847036,0.0002975616,0.00047000288],"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":[0.000773976,0.00046560867,0.8995516,0.00020261305,0.000049059676,0.0011235228,0.042641535,0.0006324471,0.007850682,0.0005132112,0.00053612416,0.045659624],"study_design_scores_gemma":[0.000029863837,0.000841023,0.81221545,0.00011582901,0.000044990426,0.0011300774,0.1750037,0.003523501,0.0023897402,0.00060570193,0.004022008,0.000078188685],"about_ca_topic_score_codex":0.0016588547,"about_ca_topic_score_gemma":0.002465289,"teacher_disagreement_score":0.0035912506,"about_ca_system_score_codex":0.00025934807,"about_ca_system_score_gemma":0.00021538639,"threshold_uncertainty_score":0.012013912},"labels":[],"label_agreement":null},{"id":"W4280631361","doi":"10.3390/en15103663","title":"Hydrothermal Conversion of Waste Biomass from Greenhouses into Hydrochar for Energy, Soil Amendment, and Wastewater Treatment Applications","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","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 Prince Edward Island; University of Guelph","funders":"","keywords":"Hydrothermal carbonization; Amendment; Environmental science; Nutrient; Waste management; Biomass (ecology); Sewage treatment; Environmental remediation; Soil conditioner; Wastewater; Greenhouse; Renewable energy; Greenhouse gas; Bioenergy; Pulp and paper industry; Biofuel; Agronomy; Environmental engineering; Soil water; Chemistry; Carbonization; Biology; Contamination","score_opus":0.007183672373496843,"score_gpt":0.19313269871700106,"score_spread":0.18594902634350421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280631361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949014,0.0004692883,0.0027111913,0.000034345012,0.00002079635,0.000042145413,0.0002682634,0.000040346506,0.0015121539],"genre_scores_gemma":[0.9958717,0.00043068302,0.002336506,0.000012371945,0.0000045165116,0.000020908272,0.00021912277,0.00001264113,0.0010915184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994385,0.000005899344,0.0000042251354,0.000009445357,0.00002081375,0.000015809144],"domain_scores_gemma":[0.99995756,0.00000595958,0.00000810963,0.0000048414186,0.000010631519,0.000012930559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012577031,0.00029319557,0.000207216,0.00025892953,0.00012300983,0.00022033205,0.00012301686,0.00018131571,0.0010638381],"category_scores_gemma":[0.000091385176,0.00009005581,0.00035372496,0.00021308352,0.0001229077,0.00021332929,0.00017921242,0.00030779207,0.00022483591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073526426,0.000030401268,0.00033568247,0.000103574035,0.0000084324465,0.00010366535,0.00001277046,0.00037678482,0.99579227,0.00006614467,0.000029405366,0.0030673624],"study_design_scores_gemma":[0.000008428559,0.00035908615,0.0028524776,0.000014985462,0.000015795444,0.0001036129,0.000056195837,0.0008550548,0.9943901,0.00005125294,0.0012858823,0.0000072208886],"about_ca_topic_score_codex":0.0005723349,"about_ca_topic_score_gemma":0.002672359,"teacher_disagreement_score":0.0010638381,"about_ca_system_score_codex":0.00020137632,"about_ca_system_score_gemma":0.00020885302,"threshold_uncertainty_score":0.0035588741},"labels":[],"label_agreement":null},{"id":"W4280646467","doi":"10.3390/en15103675","title":"Well-Logging-Based Lithology Classification Using Machine Learning Methods for High-Quality Reservoir Identification: A Case Study of Baikouquan Formation in Mahu Area of Junggar Basin, NW China","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Bank of Canada","funders":"National Natural Science Foundation of China","keywords":"Lithology; Identification (biology); Logging; Support vector machine; Random forest; Geology; Ensemble learning; Structural basin; Receiver operating characteristic; Conglomerate; Computer science; Artificial intelligence; Machine learning; Data mining; Pattern recognition (psychology); Petrology; Geomorphology","score_opus":0.07918405858139858,"score_gpt":0.36054565465441146,"score_spread":0.28136159607301287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280646467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967895,0.00017364514,0.0021201265,0.00012240832,0.0000056206372,0.000027794587,0.00021694136,0.000038509555,0.0005054805],"genre_scores_gemma":[0.9961002,0.000104708044,0.003013046,0.00001447907,0.000006737774,0.000015960064,0.00035932226,0.00000470046,0.0003807883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995864,0.000093295006,0.000039629507,0.00008152085,0.00011489673,0.0000842629],"domain_scores_gemma":[0.99940336,0.00020369943,0.00008366571,0.000057910675,0.00019180884,0.00005956604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009514286,0.0005890437,0.0005404173,0.001466383,0.0006038653,0.0007479809,0.0008857425,0.0007734004,0.0002838877],"category_scores_gemma":[0.00097083993,0.0001927278,0.00048437534,0.001640832,0.0005339195,0.00071075064,0.0005356799,0.0002772908,0.00010035459],"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":[0.0003122827,0.0005081966,0.7003807,0.00030324975,0.00024377061,0.00812128,0.0013847705,0.16940081,0.010007243,0.0008428285,0.0020350325,0.10645981],"study_design_scores_gemma":[0.00003212884,0.0001647998,0.3050141,0.000067207795,0.00012929093,0.00046869478,0.0032370181,0.6804908,0.007847794,0.00070704013,0.0017750915,0.00006610712],"about_ca_topic_score_codex":0.076970555,"about_ca_topic_score_gemma":0.12161591,"teacher_disagreement_score":0.076970555,"about_ca_system_score_codex":0.0013895737,"about_ca_system_score_gemma":0.0012246321,"threshold_uncertainty_score":0.15304506},"labels":[],"label_agreement":null},{"id":"W4280649516","doi":"10.3390/en15103768","title":"A Robust Kalman Filter-Based Approach for SoC Estimation of Lithium-Ion Batteries in Smart Homes","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"State of charge; Kalman filter; Battery (electricity); Voltage; Extended Kalman filter; Control theory (sociology); Engineering; Photovoltaic system; Equivalent circuit; Computer science; Power (physics); Automotive engineering; Electrical engineering; Control (management)","score_opus":0.02890142110741424,"score_gpt":0.25122081547274133,"score_spread":0.2223193943653271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280649516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006878435,0.00039832096,0.9910164,0.000040839437,0.00003759314,0.000017982631,0.000036045694,0.00063106854,0.0009433959],"genre_scores_gemma":[0.8216983,0.0012622632,0.17259897,0.00011214403,0.000109363544,0.00014804128,0.00034064095,0.000121440724,0.003608918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962294,0.000055154625,0.00003563979,0.00012148174,0.00012702434,0.00003779168],"domain_scores_gemma":[0.9996917,0.00008540855,0.00004710011,0.000023453576,0.00014376418,0.0000086196005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046648973,0.0008508401,0.0008827594,0.00063525664,0.00039351257,0.00061764463,0.00067625556,0.00054623303,0.0013692264],"category_scores_gemma":[0.0016539982,0.00040123807,0.0006243727,0.0005561803,0.00028603588,0.0010973107,0.00043960378,0.00060006836,0.00044377334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020800861,0.000054595115,0.0021698684,0.0003458787,0.00011127551,0.00016414946,0.00019523296,0.6348566,0.017280133,0.0056780097,0.0022965758,0.33663958],"study_design_scores_gemma":[0.000010606831,0.00003630497,0.00056944654,0.000013732177,0.000024619674,0.000033316202,0.000016466061,0.9939792,0.0030561762,0.0011134787,0.0011265621,0.000020043792],"about_ca_topic_score_codex":0.016068604,"about_ca_topic_score_gemma":0.01135198,"teacher_disagreement_score":0.016068604,"about_ca_system_score_codex":0.0006516556,"about_ca_system_score_gemma":0.00091526186,"threshold_uncertainty_score":0.031950176},"labels":[],"label_agreement":null},{"id":"W4281256076","doi":"10.3390/en15103793","title":"Data-Driven Calibration of Rough Heat Transfer Prediction Using Bayesian Inversion and Genetic Algorithm","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","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":"École de Technologie Supérieure","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Heat transfer; Surface finish; Algorithm; A priori and a posteriori; Computer science; Surface roughness; Turbulence; Mechanics; Mechanical engineering; Engineering; Physics; Thermodynamics","score_opus":0.0800264899519412,"score_gpt":0.2905586307128256,"score_spread":0.21053214076088442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281256076","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1519465,0.000089842244,0.8456787,0.000086160835,0.00001800416,0.000069525086,0.000075751064,0.00067377574,0.0013618344],"genre_scores_gemma":[0.8362155,0.000049408132,0.16290233,0.000036672773,0.00000834117,0.00014902004,0.00021858014,0.00007131387,0.0003488242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953103,0.00014969688,0.0000196891,0.000109045126,0.00013336034,0.000057246416],"domain_scores_gemma":[0.9986945,0.00064265373,0.00018951579,0.00014727208,0.0002826043,0.0000434981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015453722,0.00074047776,0.0006811974,0.00089046767,0.00035827214,0.00070978305,0.0008649626,0.0009076499,0.0005950627],"category_scores_gemma":[0.0042406064,0.0004506078,0.00058172754,0.0004756058,0.0006172962,0.00067173317,0.0007715719,0.0008595392,0.00021421695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003133793,0.00005315497,0.0011653475,0.000020717693,0.000021064068,0.000015722308,0.000029779416,0.97324264,0.0046484144,0.0012534356,0.00009973765,0.019418715],"study_design_scores_gemma":[0.0000038917674,0.000009524293,0.00020605608,0.0000022385227,0.0000021139506,0.000002375498,0.0000028184247,0.9980781,0.0011992736,0.00042914783,0.000059859634,0.0000045107163],"about_ca_topic_score_codex":0.005603587,"about_ca_topic_score_gemma":0.0038156158,"teacher_disagreement_score":0.005603587,"about_ca_system_score_codex":0.0007910271,"about_ca_system_score_gemma":0.0012751537,"threshold_uncertainty_score":0.011141956},"labels":[],"label_agreement":null},{"id":"W4281262286","doi":"10.3390/en15103797","title":"Investigation and Stability Assessment of Three Sill Pillar Recovery Schemes in a Hard Rock Mine","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sill; Geotechnical engineering; Stoping; Geology; Settlement (finance); Overburden; Pillar; Mining engineering; Finite element method; Engineering; Petrology; Structural engineering","score_opus":0.02770772356244407,"score_gpt":0.22005381901616405,"score_spread":0.19234609545371997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281262286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99428517,0.000040654893,0.0049407193,0.000020008474,0.0000035806836,0.000022047006,0.000025327934,0.000046024117,0.00061645254],"genre_scores_gemma":[0.9976495,0.000026107246,0.0020299647,0.0000035604637,6.6130394e-7,0.000008000776,0.000017375243,0.0000024709889,0.0002622394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976903,0.000023235512,0.00001721836,0.000043791697,0.00011335317,0.0000334451],"domain_scores_gemma":[0.9996358,0.000075196265,0.00008201101,0.00004632672,0.00012503467,0.00003566174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044095356,0.00028145572,0.00037310726,0.000773554,0.0003890989,0.0004923529,0.0005000572,0.0005986699,0.00049939245],"category_scores_gemma":[0.0006709705,0.00017516557,0.0004060668,0.000261084,0.0005695859,0.00032366137,0.00036764564,0.00023381459,0.00010731405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014463697,0.0005341773,0.1101079,0.00040948633,0.00010749198,0.0017492205,0.0008956406,0.4041925,0.38724568,0.0018067074,0.0005291269,0.09097568],"study_design_scores_gemma":[0.000056954712,0.0014560313,0.05096539,0.000016838607,0.000068802256,0.0002427852,0.00080801616,0.8710587,0.07393287,0.00040399094,0.00093655026,0.000053090258],"about_ca_topic_score_codex":0.003394429,"about_ca_topic_score_gemma":0.005072227,"teacher_disagreement_score":0.003394429,"about_ca_system_score_codex":0.00038367326,"about_ca_system_score_gemma":0.0003804559,"threshold_uncertainty_score":0.006749332},"labels":[],"label_agreement":null},{"id":"W4281566547","doi":"10.3390/en15113863","title":"Electric Vehicle Efficient Power and Propulsion Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Electrification; Propulsion; Automotive engineering; Electrically powered spacecraft propulsion; Electric vehicle; Power (physics); Engineering; Aeronautics; Aerospace engineering; Electrical engineering; Electricity","score_opus":0.006160995156364596,"score_gpt":0.2140006430300985,"score_spread":0.2078396478737339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281566547","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021405675,0.010213366,0.2775061,0.0027150188,0.0019498524,0.00037056667,0.0028942311,0.0032689283,0.6796763],"genre_scores_gemma":[0.5684425,0.015205782,0.03998919,0.00061041233,0.00058667694,0.0002933418,0.005241134,0.00030911795,0.36932176],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982256,0.0000171324,0.000007661456,0.00002901375,0.00010218296,0.000021534535],"domain_scores_gemma":[0.9998895,0.000007890032,0.0000056678227,0.00001419216,0.00007608955,0.0000065857203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018159272,0.00046000196,0.00028262357,0.0005785895,0.0004268548,0.0011495644,0.0005879337,0.00036510918,0.026689036],"category_scores_gemma":[0.0003037908,0.00014251813,0.0001963786,0.0008480283,0.00018692634,0.0010108926,0.0008524302,0.0004958636,0.010606071],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096635784,0.00009925214,0.0012063219,0.0006292515,0.000060234208,0.00016357795,0.00009049929,0.030950766,0.016627237,0.14071395,0.113345236,0.696017],"study_design_scores_gemma":[0.000026209738,0.00020586204,0.002082852,0.00019549917,0.00003330779,0.00027974043,0.00012877949,0.06575997,0.013415804,0.040473197,0.87736785,0.000031007068],"about_ca_topic_score_codex":0.0014492791,"about_ca_topic_score_gemma":0.0021317443,"teacher_disagreement_score":0.026689036,"about_ca_system_score_codex":0.00051577477,"about_ca_system_score_gemma":0.00070926844,"threshold_uncertainty_score":0.089283705},"labels":[],"label_agreement":null},{"id":"W4281665732","doi":"10.3390/en15114164","title":"Situational Awareness for Smart Distribution Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"State Grid Corporation of China","keywords":"Situation awareness; Situational ethics; Renewable energy; Internet of Things; Climate change; Risk analysis (engineering); Distribution (mathematics); Computer science; Environmental economics; Computer security; Business; Architectural engineering; Engineering; Political science; Electrical engineering; Economics; Ecology","score_opus":0.010928172196529482,"score_gpt":0.2108620478736076,"score_spread":0.19993387567707813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281665732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026038479,0.028646542,0.7005458,0.015637934,0.0028793279,0.00018750719,0.00046570617,0.0028713113,0.22272731],"genre_scores_gemma":[0.8847133,0.015051703,0.075254336,0.0012977079,0.0009126607,0.00012269164,0.0005140585,0.00010147175,0.022032024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996482,0.00010316242,0.000017036358,0.00006128713,0.00012733515,0.000042910106],"domain_scores_gemma":[0.99959034,0.00013034664,0.000041268264,0.00007117798,0.00011935413,0.00004748743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004187029,0.0004111912,0.00030177415,0.00035908134,0.0005332322,0.0017662393,0.00044713682,0.0007498154,0.0046315114],"category_scores_gemma":[0.0012714899,0.00016388265,0.00022898518,0.00047984993,0.00050403725,0.0029257496,0.0016076174,0.0013780843,0.0010667284],"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":[0.00013392961,0.00009158868,0.0012286258,0.0006336601,0.0000608383,0.0003630057,0.00054230844,0.07957904,0.007411322,0.49489886,0.047274027,0.36778274],"study_design_scores_gemma":[0.000025474179,0.0001763659,0.0012470217,0.00042965257,0.000054747125,0.0006562889,0.0007767593,0.23193827,0.0056138225,0.40480343,0.3542101,0.00006795699],"about_ca_topic_score_codex":0.0016551898,"about_ca_topic_score_gemma":0.0013351579,"teacher_disagreement_score":0.0046315114,"about_ca_system_score_codex":0.00051487633,"about_ca_system_score_gemma":0.00066255504,"threshold_uncertainty_score":0.015493989},"labels":[],"label_agreement":null},{"id":"W4281678610","doi":"10.3390/en15114176","title":"A Critical Review of Modular Multilevel Converter Configurations and Submodule Topologies from DC Fault Blocking and Ride-Through Capabilities Viewpoints for HVDC Applications","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Blocking (statistics); Fault (geology); Converters; Modular design; Capacitor; Fault current limiter; Engineering; Electrical engineering; Topology (electrical circuits); Electronic engineering; Network topology; Computer science; Voltage; Power (physics); Electric power system; Computer network; Physics","score_opus":0.05871874616620565,"score_gpt":0.3219869267730264,"score_spread":0.2632681806068208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281678610","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":[0.0015398625,0.96648794,0.016092554,0.00046550247,0.0011390729,0.000045064015,0.00012528697,0.000118319476,0.013986473],"genre_scores_gemma":[0.012272668,0.96443963,0.013386404,0.00067978975,0.0011747093,0.00006154525,0.00040011937,0.00006273082,0.007522546],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997247,0.000034085548,0.000047619673,0.000057020305,0.000116006566,0.00002060995],"domain_scores_gemma":[0.99956566,0.00015094414,0.000048796486,0.000026099304,0.00018722416,0.000021246124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004864425,0.00088724255,0.00094174925,0.0021418158,0.00033743904,0.0011405324,0.0011818548,0.0008096533,0.005558134],"category_scores_gemma":[0.0007265713,0.0005202767,0.00058930065,0.003322502,0.00030894837,0.0023008084,0.00043337137,0.0012236184,0.0027966537],"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":[0.00009412049,0.00007149235,0.00024976706,0.017996704,0.00008933289,0.0003053456,0.00010016647,0.003691875,0.011295348,0.02052911,0.03798056,0.90759605],"study_design_scores_gemma":[0.0000060581465,0.0001595215,0.00049327547,0.0017028768,0.00008107976,0.00089441857,0.000059655064,0.0012914723,0.0028480422,0.0031781297,0.989256,0.000029446748],"about_ca_topic_score_codex":0.0007006721,"about_ca_topic_score_gemma":0.0009890652,"teacher_disagreement_score":0.005558134,"about_ca_system_score_codex":0.0005769323,"about_ca_system_score_gemma":0.00070762075,"threshold_uncertainty_score":0.018593788},"labels":[],"label_agreement":null},{"id":"W4281681230","doi":"10.3390/en15114056","title":"Experimental and Theoretical Modelling of Concentrating Photovoltaic Thermal System with Ge-Based Multi-Junction Solar Cells","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"solar cell performance optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Ministry of Education, Libya","keywords":"Photovoltaic system; Photovoltaic thermal hybrid solar collector; Renewable energy; Thermal; Environmental science; Fossil fuel; Fresnel lens; Solar energy; Materials science; Engineering physics; Nuclear engineering; Automotive engineering; Process engineering; Electrical engineering; Meteorology; Engineering; Optics; Physics; Lens (geology); Waste management","score_opus":0.008224407260100132,"score_gpt":0.1711353906618358,"score_spread":0.16291098340173568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281681230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93286496,0.0011170456,0.036080144,0.00029013472,0.00008755184,0.00013483461,0.0010902099,0.0004140579,0.027921118],"genre_scores_gemma":[0.9954461,0.00021944352,0.0026345418,0.000009435965,0.000004751457,0.000058658596,0.00008136813,0.000011199225,0.0015346517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997818,0.00002730437,0.000008220258,0.000054702745,0.00009691214,0.00003111407],"domain_scores_gemma":[0.9998184,0.000073462856,0.000024354204,0.000022579226,0.000053414227,0.000007853333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606465,0.00043693584,0.0006110889,0.00024857043,0.0004903294,0.00061922485,0.0010919742,0.0009771604,0.0026883036],"category_scores_gemma":[0.0004013825,0.00026915947,0.0007345512,0.00038172907,0.0005458161,0.00069878093,0.00027197434,0.00042936477,0.00035275254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018571943,0.000091505586,0.0021224678,0.0003563041,0.000030239988,0.00037046088,0.00014576326,0.90035754,0.08883665,0.0027626974,0.0004682218,0.00427247],"study_design_scores_gemma":[0.000019672845,0.00016613006,0.0014861414,0.000014655591,0.000015333595,0.000050931172,0.000048187285,0.96844065,0.028511044,0.00044208852,0.00078516244,0.000019988729],"about_ca_topic_score_codex":0.005062654,"about_ca_topic_score_gemma":0.0035336323,"teacher_disagreement_score":0.005062654,"about_ca_system_score_codex":0.0010229611,"about_ca_system_score_gemma":0.0003988287,"threshold_uncertainty_score":0.01006633},"labels":[],"label_agreement":null},{"id":"W4281700380","doi":"10.3390/en15113969","title":"Comparison between Space Mapping and Direct FEA Optimizations for the Design of Halbach Array PM Motor","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Institut interdisciplinaire d'innovation technologique; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Finite element method; Convergence (economics); Halbach array; Computer science; Magnet; Power density; Mathematical optimization; Torque; Power (physics); Reduction (mathematics); Mathematics; Mechanical engineering; Engineering; Physics","score_opus":0.031350880038792994,"score_gpt":0.23811651717635132,"score_spread":0.20676563713755833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281700380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44607547,0.0014962798,0.51403517,0.00017713831,0.00006883655,0.00014911365,0.00009784598,0.0009053754,0.036994763],"genre_scores_gemma":[0.8572201,0.00034719778,0.13858742,0.000029426048,0.000014893323,0.00015054266,0.00008101163,0.0001906238,0.003378796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968433,0.0001181738,0.0000113297365,0.000024855975,0.00013792075,0.000023422557],"domain_scores_gemma":[0.9995024,0.00029885673,0.000040579853,0.000055751505,0.00009152515,0.000010873582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049944315,0.0008079466,0.00057334796,0.0005838633,0.0002471624,0.00041806672,0.00042101947,0.00048086344,0.002569499],"category_scores_gemma":[0.0012246128,0.00034262205,0.00061050185,0.00030738564,0.00024499078,0.00037160714,0.0003149561,0.00026322878,0.00036895933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028156047,0.00016520577,0.0012128588,0.00037696972,0.00006866707,0.00009435908,0.00012457988,0.84581655,0.025171885,0.0050522555,0.0007606049,0.1208746],"study_design_scores_gemma":[0.00002469341,0.00027953868,0.0007409387,0.000013392493,0.000021757534,0.000043740594,0.000035281657,0.9880598,0.008050308,0.0007284053,0.0019930964,0.000008980463],"about_ca_topic_score_codex":0.00096938934,"about_ca_topic_score_gemma":0.0013964355,"teacher_disagreement_score":0.002569499,"about_ca_system_score_codex":0.00027716605,"about_ca_system_score_gemma":0.0004548179,"threshold_uncertainty_score":0.008595824},"labels":[],"label_agreement":null},{"id":"W4281764544","doi":"10.3390/en15124263","title":"MTDC Grids: A Metaheuristic Solution for Nonlinear Control","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Particle swarm optimization; Controller (irrigation); Voltage source; Nonlinear system; Approximation error; Computer science; Mathematical optimization; Mathematics; Voltage; Engineering; Control (management)","score_opus":0.007975488832897433,"score_gpt":0.2011531895862199,"score_spread":0.19317770075332247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281764544","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":[0.016031034,0.0005341614,0.97302353,0.00027847066,0.00009768679,0.00009206313,0.00006590954,0.00042173962,0.009455501],"genre_scores_gemma":[0.47602803,0.0005917714,0.5145434,0.00026542402,0.00009374163,0.0004270346,0.0002183609,0.00014783762,0.007684384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982303,0.000062598105,0.000007630529,0.000028176833,0.000059313516,0.000019280904],"domain_scores_gemma":[0.9997135,0.0001575517,0.00003372689,0.000021548434,0.00006061856,0.000013009226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005286134,0.0007422447,0.00063093216,0.0005969549,0.00037897355,0.0006710207,0.0007757701,0.00096782146,0.0016028724],"category_scores_gemma":[0.00097493554,0.0003093374,0.0006476917,0.00054487475,0.00041307663,0.0003609916,0.00065458025,0.00086640485,0.00023552153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022615302,0.00002566514,0.0002219408,0.000042223797,0.00003117904,0.000030772622,0.00002103277,0.9649782,0.0005950298,0.006298598,0.0007779759,0.026954781],"study_design_scores_gemma":[0.0000075866014,0.000015027605,0.000027343522,0.0000047044146,0.0000035509904,0.00000555395,0.00000416407,0.9981579,0.00011791113,0.00096984435,0.00068463525,0.0000016839533],"about_ca_topic_score_codex":0.005539812,"about_ca_topic_score_gemma":0.004481008,"teacher_disagreement_score":0.005539812,"about_ca_system_score_codex":0.0005873179,"about_ca_system_score_gemma":0.00086825935,"threshold_uncertainty_score":0.011015117},"labels":[],"label_agreement":null},{"id":"W4281782136","doi":"10.3390/en15113967","title":"Measuring Interparticle Friction of Granules for Micromechanical Modeling","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Materials science; Shear (geology); Direct shear test; Granular material; Ball (mathematics); Mechanics; Dynamical friction; Composite material; Displacement (psychology); Geometry; Physics; Mathematics","score_opus":0.027967214168664243,"score_gpt":0.1970523077154987,"score_spread":0.16908509354683446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281782136","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37881288,0.0006456749,0.61846125,0.000040346215,0.00003768705,0.000121670135,0.00018766444,0.00041402815,0.0012788192],"genre_scores_gemma":[0.9061087,0.00025508352,0.09301797,0.000011811747,0.0000069710904,0.00008319916,0.00010759894,0.0000260457,0.0003825523],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957913,0.000048283495,0.000027711916,0.00007614468,0.00023617054,0.0000325443],"domain_scores_gemma":[0.9996057,0.00016557665,0.00006114301,0.00009411207,0.000055415505,0.000018033485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025115,0.00036964813,0.00044714366,0.00066539214,0.00022867035,0.00037249812,0.0005671354,0.0004888298,0.0006772901],"category_scores_gemma":[0.001193986,0.00017521283,0.00022738153,0.00041282212,0.00029585132,0.0005089527,0.000329537,0.0003209509,0.00020564004],"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":[0.00014448445,0.00010224096,0.003177499,0.00018008515,0.000014150844,0.0001467214,0.00012069963,0.020380257,0.9385901,0.0017244199,0.000110291374,0.035309147],"study_design_scores_gemma":[0.000020158748,0.00032095192,0.0140611185,0.000020839792,0.000016607011,0.00021506519,0.000091403745,0.35326472,0.62886167,0.0010732166,0.002019273,0.00003498833],"about_ca_topic_score_codex":0.00086077844,"about_ca_topic_score_gemma":0.0010242127,"teacher_disagreement_score":0.00086077844,"about_ca_system_score_codex":0.0003602868,"about_ca_system_score_gemma":0.00021500414,"threshold_uncertainty_score":0.0026575923},"labels":[],"label_agreement":null},{"id":"W4281971987","doi":"10.3390/en15114098","title":"Numerical Study of the Pyrolysis of Wood Chips for Biocharcoal Production: Influence of Chips Geometry and Initial Moisture Content","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Parallelepiped; Pyrolysis; Water content; Mass fraction; Materials science; Composite material; Moisture; Core (optical fiber); Green wood; Analytical Chemistry (journal); Geometry; Chemistry; Wood drying; Mathematics; Environmental chemistry; Engineering","score_opus":0.015558915891999738,"score_gpt":0.2164902459661544,"score_spread":0.20093133007415467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281971987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9458037,0.00046364448,0.042356677,0.00023286842,0.00006483195,0.000063423926,0.0003907157,0.00015032076,0.010473935],"genre_scores_gemma":[0.98938787,0.00012283877,0.009317686,0.000015511452,0.000005370624,0.00003175237,0.00009843928,0.000021827434,0.0009987997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987984,0.00002480348,0.000007404354,0.000021990178,0.000034275352,0.000031652085],"domain_scores_gemma":[0.9994475,0.00034193794,0.000064250016,0.000032293257,0.000088399654,0.0000255742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003428756,0.0004611399,0.00053679367,0.00036245908,0.00053043297,0.0006425578,0.000493685,0.0009665968,0.0013045103],"category_scores_gemma":[0.0011351359,0.00028860616,0.0006349531,0.0004133453,0.0005085284,0.00045610152,0.00034220977,0.0004285233,0.00012640959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060759547,0.000033146007,0.0019718844,0.0000734108,0.000011956656,0.00011375825,0.000036070214,0.9870106,0.008046615,0.0007100777,0.00010405886,0.0018277918],"study_design_scores_gemma":[0.000006834669,0.000021125268,0.0004569274,0.0000036567476,0.000003817549,0.0000117620875,0.000021295158,0.9974957,0.0017591199,0.00011162026,0.00010348402,0.0000047190906],"about_ca_topic_score_codex":0.008267742,"about_ca_topic_score_gemma":0.0052068583,"teacher_disagreement_score":0.008267742,"about_ca_system_score_codex":0.000529637,"about_ca_system_score_gemma":0.00063283707,"threshold_uncertainty_score":0.0164392},"labels":[],"label_agreement":null},{"id":"W4282563294","doi":"10.3390/en15124286","title":"Public Transport Decarbonization via Urban Bus Fleet Replacement in Portugal","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":27,"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":"Public transport; Greenhouse gas; Fossil fuel; Quarter (Canadian coin); Business; Sustainable transport; Sustainable development; Zero emission; Natural resource economics; Transport engineering; Engineering; Economics; Sustainability; Waste management; Geography","score_opus":0.006803394659066364,"score_gpt":0.1711209002412126,"score_spread":0.16431750558214622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282563294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94533545,0.00045233383,0.013777784,0.00046596045,0.000097817705,0.00009642461,0.00028033275,0.00027990827,0.039214067],"genre_scores_gemma":[0.99275815,0.00020478388,0.003799728,0.000020093881,0.000005698839,0.000017414997,0.00012517745,0.000018995586,0.0030499077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997758,0.00007239743,0.000008693921,0.000031643034,0.0000436345,0.000067879555],"domain_scores_gemma":[0.99985266,0.000026367146,0.00003495262,0.00003135542,0.000031377254,0.000023382398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034262892,0.00028948387,0.00020466355,0.0003118389,0.0005029576,0.0005474907,0.0004024434,0.00035697487,0.002321968],"category_scores_gemma":[0.00049903226,0.0001020842,0.00042989003,0.0005426316,0.0002500823,0.0005435577,0.0004502735,0.00022441465,0.0003902367],"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":[0.0018452285,0.001186615,0.06636435,0.0007359981,0.00017498268,0.004817624,0.0016103957,0.5186532,0.029811509,0.038133033,0.013975465,0.3226916],"study_design_scores_gemma":[0.0003690059,0.0025853342,0.09868825,0.00034130792,0.00030697373,0.0020801888,0.0085045,0.63638455,0.047997467,0.019588953,0.1829895,0.00016398935],"about_ca_topic_score_codex":0.015179806,"about_ca_topic_score_gemma":0.023978038,"teacher_disagreement_score":0.015179806,"about_ca_system_score_codex":0.00093758974,"about_ca_system_score_gemma":0.0010020536,"threshold_uncertainty_score":0.030182898},"labels":[],"label_agreement":null},{"id":"W4282832479","doi":"10.3390/en15124319","title":"A Trans-Inverse Magnetic Coupling Single-Phase AC-AC Converter","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Voltage source; Snubber; Inductor; Transformer; Buck–boost converter; Buck converter; Electronic engineering; Harmonics; Forward converter; Voltage; Engineering; Electrical engineering; Boost converter; Control theory (sociology); Computer science; Capacitor","score_opus":0.017153551838349337,"score_gpt":0.2109240978955972,"score_spread":0.19377054605724786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282832479","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07066888,0.0016885534,0.8699123,0.00029711938,0.00039573867,0.00021324876,0.00021596647,0.0021227878,0.054485448],"genre_scores_gemma":[0.8501186,0.0010771729,0.12673421,0.00023275823,0.0001516353,0.00011516458,0.0003091434,0.000104657134,0.021156719],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997398,0.000023765291,0.000015759108,0.00004617931,0.00015918943,0.000015259853],"domain_scores_gemma":[0.9998882,0.0000137940915,0.000012990533,0.000020655078,0.00005257244,0.0000117603595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012328003,0.00026267674,0.00035772982,0.00046177374,0.0002693407,0.0007340956,0.0007922967,0.00038899505,0.004839086],"category_scores_gemma":[0.00018936644,0.00015067082,0.0002564217,0.00051080366,0.00016386359,0.0007042217,0.00031861072,0.00058935734,0.0014708317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026997717,0.00022898946,0.0009287678,0.0009923322,0.000081346836,0.000743811,0.00020121461,0.010955009,0.54684573,0.03654075,0.0046855425,0.3975265],"study_design_scores_gemma":[0.00014175706,0.0015687029,0.0035557926,0.0001594976,0.00016802775,0.0099276425,0.00018491807,0.3595892,0.44411865,0.014991456,0.1655143,0.00008007708],"about_ca_topic_score_codex":0.0002091601,"about_ca_topic_score_gemma":0.00036773397,"teacher_disagreement_score":0.004839086,"about_ca_system_score_codex":0.00022738913,"about_ca_system_score_gemma":0.0002334486,"threshold_uncertainty_score":0.016188383},"labels":[],"label_agreement":null},{"id":"W4282840164","doi":"10.3390/en15124288","title":"Applying Machine Learning to Predict the Rate of Penetration for Geothermal Drilling Located in the Utah FORGE Site","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Drilling; Rate of penetration; Artificial neural network; Random forest; Geothermal gradient; Machine learning; Hyperparameter; Preprocessor; Data pre-processing; Computer science; Penetration rate; Artificial intelligence; Data mining; Engineering; Petroleum engineering; Geology; Mechanical engineering","score_opus":0.007606805115766618,"score_gpt":0.19088041479618736,"score_spread":0.18327360968042075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282840164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562419,0.00007152364,0.041248053,0.00013075148,0.00001760584,0.000042219555,0.0004962029,0.0006474613,0.0011043737],"genre_scores_gemma":[0.98529553,0.000033119606,0.013750717,0.000009750982,0.0000022558515,0.000021453072,0.00042892847,0.0000142769595,0.0004439753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998727,0.00002423955,0.000010164035,0.000033283042,0.000039713963,0.000019981817],"domain_scores_gemma":[0.9993387,0.00033033994,0.000085496205,0.000039327486,0.00018430746,0.000021816435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054195634,0.0004779732,0.00022120771,0.00074401835,0.00019403768,0.0003266702,0.00040773672,0.00052097393,0.0006431046],"category_scores_gemma":[0.0021270188,0.0002425927,0.00035118256,0.0005775999,0.00017580089,0.00057281106,0.00020875546,0.0005505161,0.00016335299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008283304,0.000120373974,0.04698185,0.00003629252,0.00002965795,0.0001495499,0.00005717603,0.9092218,0.0046194918,0.00029815244,0.0006565346,0.03774626],"study_design_scores_gemma":[0.0000023407922,0.000022476439,0.0054403497,0.0000031631166,0.0000030331735,0.0000071900013,0.000019319641,0.9926515,0.0016267173,0.000108889246,0.00010980054,0.0000052434984],"about_ca_topic_score_codex":0.02843332,"about_ca_topic_score_gemma":0.04691759,"teacher_disagreement_score":0.02843332,"about_ca_system_score_codex":0.000563239,"about_ca_system_score_gemma":0.00060092885,"threshold_uncertainty_score":0.05653566},"labels":[],"label_agreement":null},{"id":"W4282840610","doi":"10.3390/en15124328","title":"Data Mining-Based Cyber-Physical Attack Detection Tool for Attack-Resilient Adaptive Protective Relays","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Initialization; Resilience (materials science); Computer science; Relay; Software deployment; Cyber-physical system; Grid; Preparedness; Set (abstract data type); Computer security; Smart grid; Real-time computing; Reliability engineering; Data mining; Engineering","score_opus":0.03620211228038965,"score_gpt":0.27515566593775864,"score_spread":0.23895355365736898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282840610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14671658,0.00057864777,0.8007494,0.00087450526,0.00013304515,0.001016276,0.009091683,0.03694393,0.0038959177],"genre_scores_gemma":[0.5175798,0.000229907,0.47072598,0.00016706783,0.00002843781,0.00067303755,0.009004799,0.00015351886,0.0014374836],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905854,0.00014995868,0.00015111249,0.00023641047,0.00034991687,0.000054093816],"domain_scores_gemma":[0.9968148,0.0015270314,0.00043306669,0.00042953368,0.0007039933,0.0000916619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014280119,0.0013750709,0.0010779743,0.0047048563,0.00045708296,0.0013770302,0.0015263378,0.0010075177,0.0015468561],"category_scores_gemma":[0.0054262485,0.00030771724,0.0010257072,0.0017161767,0.00027206796,0.0012311126,0.000857783,0.0010104207,0.00079320814],"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":[0.00086095004,0.0021503184,0.045947287,0.0010688596,0.00051255646,0.0015034515,0.00044307578,0.22145672,0.020845732,0.0059303413,0.021207262,0.6780735],"study_design_scores_gemma":[0.000047346777,0.00024307956,0.006090432,0.00007184479,0.00005588985,0.0003574807,0.00011915245,0.9658486,0.017603688,0.0037526626,0.005775449,0.000034337114],"about_ca_topic_score_codex":0.0022161778,"about_ca_topic_score_gemma":0.00314325,"teacher_disagreement_score":0.0047048563,"about_ca_system_score_codex":0.0006032102,"about_ca_system_score_gemma":0.00091061165,"threshold_uncertainty_score":0.007552147},"labels":[],"label_agreement":null},{"id":"W4283066851","doi":"10.3390/en15124446","title":"Centralized and Distributed Optimization for Vehicle-to-Grid Applications in Frequency Regulation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Computer science; Electricity; Lagrangian relaxation; Mathematical optimization; Battery (electricity); Vehicle-to-grid; Grid; Power (physics); Relaxation (psychology); Electric vehicle; Engineering; Electrical engineering","score_opus":0.004069536186740039,"score_gpt":0.19230472465776988,"score_spread":0.18823518847102982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283066851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009399965,0.00031427728,0.98572457,0.00022578609,0.000054380467,0.000028914705,0.000038418148,0.0001293784,0.0040843096],"genre_scores_gemma":[0.93787825,0.00051945244,0.057026427,0.00011297206,0.00007377936,0.00009928097,0.00008184414,0.00006270238,0.004145358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992919,0.000283656,0.00001899931,0.00015672026,0.00015234879,0.000096404685],"domain_scores_gemma":[0.9994271,0.00028747105,0.000086888365,0.00004955332,0.00011698778,0.00003211337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010947217,0.00092866045,0.0011288088,0.0002943043,0.00047204064,0.001163188,0.0012428808,0.0008861902,0.00171908],"category_scores_gemma":[0.0015692508,0.00042031828,0.0008437314,0.0006658022,0.0007695818,0.0010182356,0.00089604716,0.0011696183,0.00021115388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010675518,0.000011370772,0.000107285654,0.0000149689795,0.000008782764,0.000019888004,0.000010213985,0.9892323,0.0001550293,0.0052915784,0.00038962768,0.0047483053],"study_design_scores_gemma":[0.0000029447197,0.000007364429,0.000034671924,0.0000014025921,0.0000025967515,0.000004317327,0.0000043270175,0.9977725,0.0000461545,0.0019082322,0.00021376171,0.0000017153906],"about_ca_topic_score_codex":0.011148433,"about_ca_topic_score_gemma":0.010032008,"teacher_disagreement_score":0.011148433,"about_ca_system_score_codex":0.0011441333,"about_ca_system_score_gemma":0.0014948061,"threshold_uncertainty_score":0.022167087},"labels":[],"label_agreement":null},{"id":"W4283071607","doi":"10.3390/en15124441","title":"Statistical Analysis of Baseline Load Models for Residential Buildings in the Context of Winter Demand Response","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"Hydro-Québec","keywords":"Baseline (sea); Context (archaeology); Consumption (sociology); Electricity; Demand response; Econometrics; Regression analysis; Sample (material); Incentive; Statistics; Regression; Matching (statistics); Multilevel model; Computer science; Environmental science; Environmental economics; Mathematics; Economics; Engineering; Geography; Microeconomics","score_opus":0.010372740828932197,"score_gpt":0.23299767830830984,"score_spread":0.22262493747937764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283071607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708202,0.0000741825,0.027375275,0.000069263566,0.000011310115,0.000037688485,0.0006620572,0.00036508037,0.00058492465],"genre_scores_gemma":[0.99369204,0.00002837136,0.004471974,0.000007775531,0.00000598152,0.000032323707,0.0014761814,0.000028351615,0.00025717367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989384,0.0005339468,0.00005439727,0.0002479801,0.00012037159,0.00010485108],"domain_scores_gemma":[0.99187464,0.0061031263,0.00048934086,0.0007434612,0.0006874692,0.00010196093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043596285,0.00071839977,0.00065989,0.00057335483,0.00024091837,0.00073853595,0.00085605076,0.0005871209,0.001252694],"category_scores_gemma":[0.010051629,0.00028312465,0.0009314242,0.0007224297,0.00036978628,0.00085908436,0.0004506065,0.0009070794,0.00033868905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003928513,0.00020718112,0.030409783,0.00004788965,0.00011025617,0.000056608143,0.00008108216,0.95083135,0.0010097399,0.0009941839,0.0004788796,0.015380245],"study_design_scores_gemma":[0.000007996134,0.00013532872,0.013867491,0.000003005278,0.000012787928,0.0000149324205,0.000048830116,0.98464,0.0005716809,0.00054629485,0.00014261414,0.000009065179],"about_ca_topic_score_codex":0.010463496,"about_ca_topic_score_gemma":0.007161134,"teacher_disagreement_score":0.010463496,"about_ca_system_score_codex":0.00085116806,"about_ca_system_score_gemma":0.0006706499,"threshold_uncertainty_score":0.02305621},"labels":[],"label_agreement":null},{"id":"W4283121050","doi":"10.3390/en15124469","title":"Harnessing Task Usage Prediction and Latency Sensitivity for Scheduling Workloads in Wind-Powered Data Centers","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Data center; Provisioning; Workload; Computer science; Server; Latency (audio); Real-time computing; Renewable energy; Scheduling (production processes); Wind power; Efficient energy use; Engineering; Computer network; Operating system; Telecommunications; Operations management; Electrical engineering","score_opus":0.023859103750534152,"score_gpt":0.24324230857447804,"score_spread":0.21938320482394388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283121050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84424627,0.00048040587,0.15219656,0.00028599004,0.000083169005,0.00010914129,0.00017852827,0.00096966256,0.0014503777],"genre_scores_gemma":[0.98911816,0.0000536926,0.010581068,0.00001768741,0.000012161573,0.000013526675,0.00006110236,0.000018515062,0.00012417362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995908,0.00008919222,0.000030665495,0.000084646344,0.00013601212,0.000068789166],"domain_scores_gemma":[0.9979804,0.0011129515,0.00028722172,0.00017282173,0.00030587014,0.00014077534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081520906,0.0007487511,0.00039564853,0.0006304053,0.00031870458,0.00049134373,0.0005736948,0.0003233486,0.00030435494],"category_scores_gemma":[0.004466236,0.00032094386,0.00015084734,0.00058127195,0.00026189376,0.0007548087,0.0003596372,0.00054515555,0.00010251997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006228982,0.0004000772,0.02407954,0.0001097974,0.000067744535,0.00013844368,0.00013910276,0.83208424,0.03321534,0.0005148565,0.0007178471,0.10791006],"study_design_scores_gemma":[0.000005780623,0.000054382057,0.0028433574,0.0000025995619,0.0000072042694,0.000013635572,0.000016629176,0.9935463,0.003109398,0.00028963393,0.00010409374,0.0000069183343],"about_ca_topic_score_codex":0.00702042,"about_ca_topic_score_gemma":0.0107112415,"teacher_disagreement_score":0.00702042,"about_ca_system_score_codex":0.0004928854,"about_ca_system_score_gemma":0.0009966299,"threshold_uncertainty_score":0.01395911},"labels":[],"label_agreement":null},{"id":"W4283121155","doi":"10.3390/en15124457","title":"Analysis of the Heat Transfer Coefficient, Thermal Effusivity and Mathematical Modelling of Drying Kinetics of a Partitioned Single Pass Low-Cost Solar Drying of Cocoyam Chips with Economic Assessments","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Solar dryer; Airflow; Thermal effusivity; Thermal diffusivity; Environmental science; Laminar flow; ASHRAE 90.1; Heat transfer coefficient; Meteorology; Thermal; Mechanics; Heat transfer; Materials science; Thermodynamics; Water content; Thermal resistance; Engineering; Geography; Geotechnical engineering; Physics","score_opus":0.034626289668344266,"score_gpt":0.2214975428651058,"score_spread":0.18687125319676154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283121155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8743304,0.00044815062,0.12228242,0.000044124034,0.000013130753,0.00003777989,0.00016474296,0.00017147181,0.0025077085],"genre_scores_gemma":[0.9914824,0.00019732819,0.0070994534,0.000004719368,0.0000020348295,0.00002898489,0.0000722527,0.00001469687,0.0010983088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990225,0.000013188911,0.0000056099984,0.000027072936,0.000040904146,0.000011025445],"domain_scores_gemma":[0.99979347,0.00011844046,0.000024655477,0.000016509784,0.000043147797,0.0000037721907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029860428,0.0003303643,0.00032131153,0.00028054192,0.00014967118,0.00037022826,0.00025948288,0.00030878227,0.0007227551],"category_scores_gemma":[0.0006106965,0.00016473148,0.0005632366,0.00028490854,0.0001657961,0.00037096013,0.00010755357,0.0002782264,0.00015491588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013550438,0.00011352595,0.008023111,0.00038420394,0.000051277482,0.0002870186,0.00014301485,0.7182679,0.24121673,0.0014585902,0.00024095226,0.029678166],"study_design_scores_gemma":[0.000003119611,0.000072926436,0.004132378,0.000005246564,0.000014435601,0.00005188361,0.000028894987,0.9644689,0.030728146,0.00014350328,0.00034203593,0.000008560832],"about_ca_topic_score_codex":0.004867697,"about_ca_topic_score_gemma":0.004075352,"teacher_disagreement_score":0.004867697,"about_ca_system_score_codex":0.00035014655,"about_ca_system_score_gemma":0.00030563844,"threshold_uncertainty_score":0.009678721},"labels":[],"label_agreement":null},{"id":"W4283276756","doi":"10.3390/en15124496","title":"A Novel Prediction Model of the Drag Coefficient of Shale Cuttings in Herschel–Bulkley Fluid","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Herschel–Bulkley fluid; Drill cuttings; Drag; Drag coefficient; Drilling fluid; Settling; Geology; Geotechnical engineering; Mechanics; Settlement (finance); Newtonian fluid; Generalized Newtonian fluid; Non-Newtonian fluid; Drilling; Rheology; Engineering; Shear rate; Physics; Mechanical engineering; Thermodynamics; Computer science","score_opus":0.007615856923328025,"score_gpt":0.16842882146406232,"score_spread":0.1608129645407343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283276756","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":[0.15297793,0.00083757774,0.83880174,0.00024977163,0.00011866782,0.000089795154,0.00024107072,0.00053565804,0.006147778],"genre_scores_gemma":[0.9724034,0.0005987604,0.021312745,0.000065805754,0.000037699112,0.00013137155,0.00024428827,0.000047796013,0.0051581245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997911,0.00002084086,0.000012651751,0.000068471476,0.000075585645,0.00003138804],"domain_scores_gemma":[0.99979264,0.00005689446,0.000036888712,0.000010230299,0.000092321876,0.00001094788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035914965,0.0007638006,0.00064081274,0.00045648686,0.00041921568,0.00073785597,0.0010204265,0.0010363247,0.00061037095],"category_scores_gemma":[0.00064219045,0.0003571257,0.00069853954,0.00034379898,0.0004460827,0.00092522224,0.0004497763,0.00071084953,0.00020816633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000222955,0.000022158587,0.0011860055,0.00004897875,0.000009790398,0.00010093461,0.000048274942,0.98127455,0.007528698,0.0021677532,0.00031054427,0.0072799306],"study_design_scores_gemma":[0.0000019762758,0.0000065335416,0.00010444658,0.00000107869,0.0000018174386,0.000005080806,0.0000021159278,0.99930227,0.0003419893,0.00012718709,0.000102341066,0.0000031607553],"about_ca_topic_score_codex":0.0241409,"about_ca_topic_score_gemma":0.00800452,"teacher_disagreement_score":0.0241409,"about_ca_system_score_codex":0.00060612685,"about_ca_system_score_gemma":0.0014259735,"threshold_uncertainty_score":0.048000753},"labels":[],"label_agreement":null},{"id":"W4283360703","doi":"10.3390/en15134595","title":"Fast DC Fault Current Suppression and Fault Ride-Through in Full-Bridge MMCs via Reverse SM Capacitor Discharge","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Fault current limiter; Fault (geology); Capacitor; Transient (computer programming); Electrical engineering; Fault indicator; Voltage; Control theory (sociology); Engineering; Computer science; Fault detection and isolation; Physics; Power (physics); Electric power system; Control (management)","score_opus":0.012860547365625764,"score_gpt":0.23396565929358817,"score_spread":0.22110511192796242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283360703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76073724,0.00093758374,0.2281983,0.00019898503,0.00011892832,0.0001312846,0.00012289957,0.0015591383,0.007995668],"genre_scores_gemma":[0.9960174,0.000050961462,0.003451497,0.000015212198,0.0000068442755,0.000010247349,0.000014724693,0.0000063293346,0.00042675264],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998795,0.000017223649,0.000008163933,0.00002415461,0.000053033196,0.00001800611],"domain_scores_gemma":[0.9998791,0.000017548731,0.000037959304,0.000022699893,0.000032487453,0.000010144433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014424542,0.00028389553,0.0003140021,0.00029866918,0.00021523796,0.0002886912,0.00059834076,0.00029161296,0.00111833],"category_scores_gemma":[0.00022507337,0.000105614316,0.0001872851,0.00023229115,0.00019114732,0.00034210586,0.00022234237,0.0002463047,0.00018568055],"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":[0.00080496335,0.00016307086,0.0013900113,0.0004173525,0.000041570118,0.0004277869,0.00040512404,0.022982374,0.7679716,0.0033856225,0.0013872212,0.20062327],"study_design_scores_gemma":[0.00018494464,0.0015508998,0.0059990115,0.000057214773,0.000052421674,0.0008128902,0.000120851364,0.58319104,0.39908287,0.0017796092,0.007122097,0.000046147576],"about_ca_topic_score_codex":0.00075169955,"about_ca_topic_score_gemma":0.0011256642,"teacher_disagreement_score":0.00111833,"about_ca_system_score_codex":0.00022637782,"about_ca_system_score_gemma":0.00016137645,"threshold_uncertainty_score":0.0037412047},"labels":[],"label_agreement":null},{"id":"W4283447181","doi":"10.3390/en15134642","title":"Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"American University of Sharjah","keywords":"Adsorption; Factorial experiment; Wastewater; Sewage treatment; Methyl orange; Fractional factorial design; Materials science; Orange (colour); Pulp and paper industry; Chemistry; Environmental engineering; Environmental science; Mathematics; Organic chemistry","score_opus":0.04442904625683905,"score_gpt":0.2902923962305308,"score_spread":0.24586334997369177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283447181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9607325,0.00045942768,0.036299378,0.000038877555,0.000046732242,0.00076589355,0.00046069612,0.000099220146,0.0010971929],"genre_scores_gemma":[0.9336727,0.0005373247,0.062330402,0.000042729687,0.000016691287,0.002121038,0.00028954752,0.000021808211,0.0009676196],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984786,0.0004002256,0.00014832008,0.00031741717,0.00042583828,0.00022963568],"domain_scores_gemma":[0.99893814,0.00051312137,0.00026170266,0.000077266915,0.00015863504,0.00005115396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025919494,0.0010276366,0.0017040084,0.0005783362,0.00050878245,0.00080451084,0.00083496736,0.00080703775,0.0012631026],"category_scores_gemma":[0.0014614564,0.00036330268,0.0020195318,0.0008135263,0.00040090294,0.00030493145,0.0004219691,0.0008222465,0.00010549434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062885094,0.005505873,0.005146931,0.0016901252,0.0004938938,0.00016056295,0.00034126412,0.055564404,0.88525635,0.0012334075,0.00024272435,0.03807597],"study_design_scores_gemma":[0.000589916,0.05091584,0.018355023,0.000045837958,0.0006979525,0.000096798256,0.00017086635,0.19810854,0.7265832,0.00068924675,0.0035276476,0.00021918968],"about_ca_topic_score_codex":0.002228394,"about_ca_topic_score_gemma":0.0019583446,"teacher_disagreement_score":0.0025919494,"about_ca_system_score_codex":0.0008153477,"about_ca_system_score_gemma":0.0009992094,"threshold_uncertainty_score":0.013707697},"labels":[],"label_agreement":null},{"id":"W4283449179","doi":"10.3390/en15134655","title":"Harvesting Local Energy: A Case Study of Community-Led Bioenergy Development in Galena, Alaska","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Energy security; Sustainability; Environmental resource management; Biomass (ecology); Business; Bioenergy; Environmental economics; Indigenous; Greenhouse gas; Environmental planning; Natural resource economics; Environmental science; Environmental protection; Renewable energy; Engineering; Ecology; Economics","score_opus":0.03382551772792781,"score_gpt":0.29900042059007775,"score_spread":0.26517490286214995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283449179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99285936,0.00009025605,0.00029624035,0.0003069869,0.0000065050695,0.000046215322,0.000015398651,0.00000587804,0.0063732034],"genre_scores_gemma":[0.99513704,0.00027773198,0.00054998044,0.00010108407,0.0000051783995,0.000056686098,0.000026537475,0.0000061832216,0.0038395356],"study_design_codex":"qualitative","study_design_gemma":"case_report","domain_scores_codex":[0.9985135,0.00090268353,0.000034868808,0.00012263806,0.00014192007,0.0002843477],"domain_scores_gemma":[0.9986921,0.0005328892,0.00011469184,0.00007889213,0.000119386044,0.00046204464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018340304,0.00043299334,0.00029031525,0.0010742929,0.010856387,0.002330935,0.001383595,0.0014682638,0.0032950712],"category_scores_gemma":[0.0018786186,0.00022645835,0.00024394468,0.0013344396,0.0041642603,0.0013715749,0.004111856,0.0013033964,0.00026450225],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015614167,0.0017302,0.093634054,0.00035698432,0.000058934074,0.044483323,0.80131173,0.0025177852,0.0031773653,0.008896897,0.0017860753,0.0418905],"study_design_scores_gemma":[0.0000061902674,0.00017761123,0.016553886,0.00009075899,0.00001143231,0.0009705437,0.97174746,0.0004609014,0.00036347625,0.00070000807,0.008901323,0.000016362368],"about_ca_topic_score_codex":0.040887304,"about_ca_topic_score_gemma":0.14835773,"teacher_disagreement_score":0.040887304,"about_ca_system_score_codex":0.00413176,"about_ca_system_score_gemma":0.003363088,"threshold_uncertainty_score":0.08129859},"labels":[],"label_agreement":null},{"id":"W4283463820","doi":"10.3390/en15134628","title":"Transient Thermo-Fluid Analysis of Free Falling CuCl and AgCl Droplets with Liquid-to-Solid Phase Change","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Quenching (fluorescence); Multiphysics; Joule effect; Wetting; Joule heating; Phase (matter); Chemistry; Hydrogen; Materials science; Inert gas; Thermodynamics; Analytical Chemistry (journal); Chemical engineering; Composite material; Chromatography; Organic chemistry","score_opus":0.014059867711308315,"score_gpt":0.24255466298743045,"score_spread":0.22849479527612213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283463820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98905295,0.00025321852,0.008820802,0.000060639402,0.00002090998,0.000035689085,0.00026551244,0.00011966957,0.0013705988],"genre_scores_gemma":[0.99658066,0.000098896926,0.0026026317,0.000012947549,0.0000035372805,0.000028635459,0.00010024484,0.000017154058,0.0005552948],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988186,0.000008177979,0.0000048064026,0.000028150667,0.00005698148,0.000020041009],"domain_scores_gemma":[0.9998976,0.00004781286,0.000016016354,0.0000075617604,0.000023397992,0.000007634664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016613633,0.0002061933,0.00028567668,0.00020466081,0.0002522952,0.00028655122,0.00037977158,0.00034793807,0.00086351245],"category_scores_gemma":[0.00028785734,0.00011094002,0.0002946339,0.0002952531,0.0004037763,0.00037998485,0.00020042466,0.00039305064,0.00012950234],"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":[0.0002332658,0.00006135449,0.0018109807,0.0000885601,0.000011828085,0.0002128695,0.00017504007,0.008582119,0.98355514,0.0007076481,0.00012872706,0.004432505],"study_design_scores_gemma":[0.00001761701,0.00020270763,0.0036888989,0.0000063922494,0.00000823677,0.000047161666,0.00009595139,0.16072139,0.8341414,0.00022865902,0.0008212604,0.000020343996],"about_ca_topic_score_codex":0.0020099452,"about_ca_topic_score_gemma":0.0016431138,"teacher_disagreement_score":0.0020099452,"about_ca_system_score_codex":0.00068341213,"about_ca_system_score_gemma":0.00020640378,"threshold_uncertainty_score":0.0049585104},"labels":[],"label_agreement":null},{"id":"W4283579108","doi":"10.3390/en15134677","title":"Construction and Calibration of a Unique Hot Box Apparatus","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Calibration; Workmanship; Envelope (radar); Point (geometry); Thermal; Mechanical engineering; Building envelope; Computer science; Environmental science; Engineering; Aerospace engineering; Physics; Mathematics","score_opus":0.004540503233665723,"score_gpt":0.1714835309996331,"score_spread":0.16694302776596737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283579108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23142868,0.00065419916,0.7506071,0.00019637257,0.0005379505,0.0025936572,0.0012806908,0.006271125,0.0064302054],"genre_scores_gemma":[0.37646243,0.00066197186,0.6127217,0.00017084785,0.00015217159,0.0025886479,0.0012916119,0.00029887134,0.005651887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978188,0.0002489811,0.00020878237,0.0005141307,0.0010228055,0.00018640426],"domain_scores_gemma":[0.99744713,0.00047665878,0.00024897142,0.0008504248,0.0008127299,0.00016406772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028928458,0.0006974868,0.00081258843,0.0018906189,0.0006108231,0.0006050143,0.001719617,0.0010836249,0.004762992],"category_scores_gemma":[0.003629778,0.00051172596,0.0006443847,0.0008650993,0.0007316139,0.0009718497,0.0017372495,0.0011140694,0.002309051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043573487,0.0004283427,0.011089215,0.0012570233,0.000057383506,0.000548144,0.0007081736,0.013156304,0.7299439,0.011208082,0.0040051094,0.22716261],"study_design_scores_gemma":[0.00013860718,0.004515425,0.021911629,0.00031078543,0.00020773635,0.0023922387,0.0003872242,0.05316185,0.8294931,0.002806303,0.08435496,0.00032013262],"about_ca_topic_score_codex":0.00022621211,"about_ca_topic_score_gemma":0.00029369412,"teacher_disagreement_score":0.004762992,"about_ca_system_score_codex":0.0002874224,"about_ca_system_score_gemma":0.00093306263,"threshold_uncertainty_score":0.015933752},"labels":[],"label_agreement":null},{"id":"W4283690461","doi":"10.3390/en15134727","title":"Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Energy storage; Renewable energy; Grid; Automotive engineering; Electric vehicle; Charging station; Electricity; Computer data storage; Electrical engineering; Engineering; Computer science; Environmental science; Power (physics); Operating system","score_opus":0.026335958868408997,"score_gpt":0.27965710059760984,"score_spread":0.25332114172920084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283690461","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03850609,0.9168161,0.0120702805,0.0009049606,0.0004293722,0.000058750516,0.00038635227,0.00009564157,0.030732436],"genre_scores_gemma":[0.17082888,0.8131434,0.0057221376,0.00032878123,0.00046409442,0.000034258333,0.0006984229,0.000029197654,0.0087508755],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984074,0.000017196391,0.000025299367,0.000032587795,0.00006975201,0.000014507477],"domain_scores_gemma":[0.9996834,0.0000922677,0.000038505546,0.000011644552,0.00015984736,0.000014461091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036639112,0.0004147838,0.000418284,0.0016687973,0.00016258069,0.001077771,0.00035597812,0.0004075933,0.0020468517],"category_scores_gemma":[0.00039660864,0.0002472791,0.0004994231,0.0027163813,0.00015238833,0.0020778687,0.00031922126,0.00040687222,0.0005247639],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028709823,0.00011645185,0.0058130575,0.011905424,0.00022755633,0.0005934353,0.0003333496,0.01580869,0.012010994,0.028492814,0.01397077,0.9104403],"study_design_scores_gemma":[0.000022279823,0.0007781594,0.013397665,0.003292817,0.0005376476,0.002578949,0.00083396817,0.02290628,0.019117553,0.009398136,0.92702925,0.00010730337],"about_ca_topic_score_codex":0.0009740192,"about_ca_topic_score_gemma":0.0012834087,"teacher_disagreement_score":0.0020468517,"about_ca_system_score_codex":0.00041124725,"about_ca_system_score_gemma":0.00047638392,"threshold_uncertainty_score":0.0068473816},"labels":[],"label_agreement":null},{"id":"W4283695140","doi":"10.3390/en15134729","title":"Back-Calculation Method for Estimation of Geomechanical Parameters in Numerical Modeling Based on In-Situ Measurements and Statistical Methods","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","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":"Convergence (economics); Rock mass classification; Set (abstract data type); Residual; Matching (statistics); Numerical analysis; Computer science; Finite element method; Computer simulation; Pillar; Applied mathematics; Geology; Algorithm; Geotechnical engineering; Mathematics; Structural engineering; Engineering; Statistics; Simulation","score_opus":0.05709357878645479,"score_gpt":0.33210724219224697,"score_spread":0.2750136634057922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283695140","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":[0.0010885093,0.000025342748,0.9980902,0.000011049446,0.00001626839,0.00003204152,0.00002380572,0.00036659458,0.00034625988],"genre_scores_gemma":[0.05347378,0.00013372317,0.94395554,0.000039869155,0.000026593912,0.00050116575,0.00014021114,0.0003404245,0.0013887179],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745077,0.0008719534,0.00015784916,0.0002992887,0.0011625151,0.00005754563],"domain_scores_gemma":[0.9946163,0.00292802,0.0005100777,0.00089105434,0.0010016358,0.000052852083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028981129,0.001112512,0.00090100145,0.0020317624,0.00059551146,0.00096231117,0.0016816973,0.00085332943,0.003808096],"category_scores_gemma":[0.0106749125,0.00072545325,0.00087891216,0.0011543235,0.0006833991,0.0011744591,0.001151195,0.0015882304,0.0019251106],"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":[0.0001639785,0.00034658858,0.008991316,0.0010368951,0.00029045227,0.00030407237,0.00068995403,0.24439774,0.055292398,0.08890755,0.0056064823,0.5939725],"study_design_scores_gemma":[0.0000253781,0.0000893632,0.0013730075,0.000055353423,0.00004100271,0.00015497403,0.000049432867,0.96130466,0.017197968,0.010470594,0.009188859,0.000049359754],"about_ca_topic_score_codex":0.0019180888,"about_ca_topic_score_gemma":0.0021447334,"teacher_disagreement_score":0.003808096,"about_ca_system_score_codex":0.00051586377,"about_ca_system_score_gemma":0.0013196013,"threshold_uncertainty_score":0.015326858},"labels":[],"label_agreement":null},{"id":"W4283697536","doi":"10.3390/en15134738","title":"Analysis of the All-Year Operation of the Solar Chimney in Polish Climatic Conditions","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":2,"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":"Solar chimney; Chimney (locomotive); Environmental science; Meteorology; Electricity; Solar energy; Solar air conditioning; Quarter (Canadian coin); Atmospheric sciences; Work (physics); Power station; Engineering; Electrical engineering; Physics; Mechanical engineering; Geography","score_opus":0.007237444900417192,"score_gpt":0.20185440764541293,"score_spread":0.19461696274499574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283697536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99665606,0.000067914836,0.001175412,0.000010306568,0.0000039005654,0.000008331076,0.0008679766,0.000030892865,0.0011790777],"genre_scores_gemma":[0.99895704,0.000043703123,0.00021197468,0.0000015719962,9.309179e-7,0.000003385469,0.00057399657,0.000009073777,0.00019825765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99987197,0.000016935805,0.000009051781,0.00003219938,0.000032043976,0.000037706184],"domain_scores_gemma":[0.999841,0.000042864795,0.00002900308,0.000019317065,0.000048548787,0.000019295929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569229,0.0002929572,0.0003077862,0.00061095966,0.0001908976,0.00057968794,0.00022958638,0.0002508142,0.0006921458],"category_scores_gemma":[0.00044002366,0.00015733241,0.0005542168,0.0008114618,0.00014020712,0.00032247647,0.00018297815,0.0001678959,0.00012924302],"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":[0.00039668402,0.00011974245,0.26984605,0.00025365775,0.00062582793,0.0019839131,0.0002618595,0.6792927,0.027575126,0.0010545816,0.0013234318,0.017266408],"study_design_scores_gemma":[0.000019778798,0.00018145157,0.72021824,0.000016707345,0.00016339764,0.00035375063,0.00051120936,0.26618013,0.0080953175,0.00030309218,0.0039115553,0.000045343168],"about_ca_topic_score_codex":0.015484308,"about_ca_topic_score_gemma":0.01544936,"teacher_disagreement_score":0.015484308,"about_ca_system_score_codex":0.00042416467,"about_ca_system_score_gemma":0.00029920443,"threshold_uncertainty_score":0.030788362},"labels":[],"label_agreement":null},{"id":"W4283743501","doi":"10.3390/en15134816","title":"Steam Cavity Expansion Model for Steam Flooding in Deep Heavy Oil Reservoirs","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China Petrochemical Corporation","keywords":"Petroleum engineering; Steam drum; Steam injection; Superheated steam; Environmental science; Mechanics; Boiler (water heating); Materials science; Geology; Waste management; Engineering","score_opus":0.01570191904226505,"score_gpt":0.23736793173218174,"score_spread":0.22166601268991667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283743501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13136695,0.001496676,0.8415341,0.0004204982,0.00015851081,0.00020743917,0.0003528013,0.00059687695,0.023866115],"genre_scores_gemma":[0.959059,0.000980691,0.02093497,0.000094044786,0.000045506204,0.00036309697,0.00019035581,0.00012651092,0.018205801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998386,0.00003242327,0.000008990139,0.00003897593,0.000047168705,0.00003386042],"domain_scores_gemma":[0.9998419,0.000063998596,0.000021589549,0.0000073597644,0.000054317752,0.000010811542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031028286,0.00062784774,0.00064373383,0.0004480078,0.00039699412,0.0006951907,0.0012576944,0.0013274843,0.0022674182],"category_scores_gemma":[0.0005960964,0.0003843102,0.00092097814,0.0002846805,0.0004716368,0.0010714531,0.0006299069,0.000809519,0.00045774202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003135535,0.00003208086,0.00065915025,0.000082344246,0.000009351104,0.00021519279,0.000093910945,0.9748948,0.012611839,0.006517002,0.00045505294,0.004397936],"study_design_scores_gemma":[0.000002446127,0.0000052521045,0.000055079207,0.0000018651616,0.000001711642,0.0000088898,0.0000054183693,0.9991818,0.00024788588,0.00027292655,0.00021382165,0.000002897546],"about_ca_topic_score_codex":0.007955455,"about_ca_topic_score_gemma":0.003928688,"teacher_disagreement_score":0.007955455,"about_ca_system_score_codex":0.0006749404,"about_ca_system_score_gemma":0.0008938864,"threshold_uncertainty_score":0.015818298},"labels":[],"label_agreement":null},{"id":"W4283770564","doi":"10.3390/en15134834","title":"Just Transitions for Oil and Gas Regions and the Role of Regional Development Policies","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Regional Development and Policy","field":"Social Sciences","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 Northern British Columbia; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; University of Victoria","keywords":"Peninsula; Petroleum industry; Fossil fuel; Transition (genetics); Business; Order (exchange); Economy; Economic growth; Economics; Natural resource economics; Geography; Engineering; Finance","score_opus":0.032040672879140565,"score_gpt":0.28771907183030854,"score_spread":0.25567839895116795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283770564","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":[0.15771808,0.28637072,0.013045672,0.25219837,0.0019137608,0.00025939883,0.0005060504,0.00027206988,0.2877159],"genre_scores_gemma":[0.9154529,0.06887324,0.0029391325,0.0071405834,0.00013505071,0.00011930636,0.00013283908,0.000036555703,0.005170289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967553,0.0017163905,0.00014290745,0.00019078681,0.00025162037,0.0009429437],"domain_scores_gemma":[0.9971258,0.0014892003,0.0003803298,0.00018459074,0.00039288859,0.000427175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005728212,0.000239574,0.00034484695,0.00095850736,0.0020449737,0.005665539,0.0010064782,0.0017109205,0.0027802691],"category_scores_gemma":[0.0074319704,0.00013691814,0.0006192759,0.0015982206,0.0053735366,0.004790716,0.0036969886,0.0022246947,0.00020438606],"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":[0.00007127839,0.000040641793,0.003176803,0.0026874975,0.000081324564,0.000342101,0.014293326,0.0058131604,0.00045550018,0.859903,0.011390971,0.10174451],"study_design_scores_gemma":[0.000039083225,0.000164964,0.015718527,0.008612922,0.00017777272,0.00023589835,0.048199967,0.0010830336,0.00084288523,0.12999494,0.79485637,0.00007367389],"about_ca_topic_score_codex":0.04639641,"about_ca_topic_score_gemma":0.06622762,"teacher_disagreement_score":0.04639641,"about_ca_system_score_codex":0.01105474,"about_ca_system_score_gemma":0.018735705,"threshold_uncertainty_score":0.09225267},"labels":[],"label_agreement":null},{"id":"W4283770617","doi":"10.3390/en15134872","title":"Numerical Modeling of Horizontal Axis Wind Turbine: Aerodynamic Performances Improvement Using an Efficient Passive Flow Control System","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Stall (fluid mechanics); Aerodynamics; Turbine; Flow separation; Reynolds-averaged Navier–Stokes equations; Computational fluid dynamics; Boundary layer; Turbulence; Tip-speed ratio; Flow control (data); Marine engineering; Control theory (sociology); Engineering; Mechanics; Aerospace engineering; Computer science; Physics","score_opus":0.007501980650215617,"score_gpt":0.20064590053666692,"score_spread":0.1931439198864513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283770617","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":[0.38363436,0.0004305674,0.6031485,0.00016104002,0.000105633175,0.00011067031,0.00022873674,0.00093049044,0.011249935],"genre_scores_gemma":[0.9578828,0.00024673334,0.038314212,0.000017854887,0.000017612874,0.00008973905,0.00010863905,0.000038283546,0.0032841288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991894,0.000018345396,0.0000059910385,0.000016915745,0.000030567717,0.000009316797],"domain_scores_gemma":[0.9999137,0.000025671332,0.000021422175,0.0000119303795,0.000022646122,0.0000045703014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015158443,0.00040483926,0.00034520664,0.00015821354,0.00023762963,0.00048398328,0.0004072558,0.0004657,0.0011365067],"category_scores_gemma":[0.00027223583,0.00017077262,0.0003652352,0.00015375932,0.0003047443,0.00035527535,0.00020450303,0.00020867608,0.00026638212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050541003,0.0000513562,0.001011008,0.0000649501,0.000009767872,0.000093210445,0.000045754143,0.9463381,0.041019455,0.0025100557,0.00019471017,0.008611154],"study_design_scores_gemma":[0.0000063870357,0.000034462362,0.00036989295,0.0000021394933,0.0000029319474,0.000014638362,0.0000040637556,0.9965486,0.0023649184,0.00015021065,0.0004986376,0.0000031053685],"about_ca_topic_score_codex":0.0020681284,"about_ca_topic_score_gemma":0.0010622153,"teacher_disagreement_score":0.0020681284,"about_ca_system_score_codex":0.0001922308,"about_ca_system_score_gemma":0.00035878725,"threshold_uncertainty_score":0.0041121244},"labels":[],"label_agreement":null},{"id":"W4283777090","doi":"10.3390/en15134862","title":"A Low-Cost, Open-Source Peer-to-Peer Energy Trading System for a Remote Community Using the Internet-of-Things, Blockchain, and Hypertext Transfer Protocol","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada); Memorial University of Newfoundland","funders":"","keywords":"Computer science; Hypertext Transfer Protocol; Blockchain; Server; Computer security; Peer-to-peer; Smart contract; The Internet; Computer network; Operating system; World Wide Web","score_opus":0.03298338954816784,"score_gpt":0.277700851015915,"score_spread":0.24471746146774717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283777090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07442674,0.00047037486,0.8910562,0.00043533728,0.00018822827,0.0012385932,0.00017240162,0.010240868,0.021771304],"genre_scores_gemma":[0.7347777,0.00032310456,0.23914991,0.00024062852,0.000088791494,0.00082299544,0.0005129151,0.00030775272,0.023776175],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992281,0.000109664936,0.000043492055,0.00011213822,0.00044140042,0.00006511594],"domain_scores_gemma":[0.99957734,0.00007067112,0.00004192324,0.00010237841,0.000121629324,0.000086007196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005197827,0.0004195757,0.0005967615,0.0004329661,0.001084025,0.00088521856,0.001826155,0.0010985422,0.0060409075],"category_scores_gemma":[0.0007555946,0.000221439,0.0003905994,0.00053696125,0.0003405397,0.0018338897,0.0020036546,0.0006324946,0.0019574491],"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":[0.0008087058,0.0013875607,0.0030369794,0.0009366964,0.000108358276,0.0033446243,0.000888856,0.030478979,0.20959325,0.025860261,0.021261422,0.70229435],"study_design_scores_gemma":[0.0006103033,0.002265036,0.005014747,0.0001357896,0.00019172243,0.0046359235,0.00056923646,0.6315538,0.13737197,0.024202166,0.19311891,0.0003303694],"about_ca_topic_score_codex":0.00063369866,"about_ca_topic_score_gemma":0.0007478936,"teacher_disagreement_score":0.0060409075,"about_ca_system_score_codex":0.00030540483,"about_ca_system_score_gemma":0.00090702967,"threshold_uncertainty_score":0.020208836},"labels":[],"label_agreement":null},{"id":"W4283792445","doi":"10.3390/en15134895","title":"A Novel Hybrid Predictive Model for Ultra-Short-Term Wind Speed Prediction","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Jiangxi Provincial Department of Science and Technology","keywords":"Computer science; Algorithm; Hilbert–Huang transform; Residual; Robustness (evolution); Wind speed; Particle swarm optimization; Artificial intelligence; Pattern recognition (psychology); White noise","score_opus":0.01930731691702135,"score_gpt":0.2131837477409643,"score_spread":0.19387643082394296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283792445","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":[0.040848464,0.0011756073,0.9519761,0.0003270034,0.00015426445,0.000041913732,0.0002534463,0.0011133299,0.004109874],"genre_scores_gemma":[0.9279942,0.00079397,0.063600525,0.00022814516,0.000107711414,0.00016256263,0.0005667487,0.000096941985,0.0064492235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997844,0.000028572433,0.000012495735,0.00007428107,0.00006287737,0.000037268284],"domain_scores_gemma":[0.99972945,0.00009031198,0.0000364146,0.000022821949,0.00010554021,0.000015323276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063197484,0.00089824316,0.0007498083,0.0006132828,0.00030730007,0.00084326725,0.0014795455,0.0008083015,0.0013248572],"category_scores_gemma":[0.0009858204,0.00043465846,0.0006403591,0.0005429079,0.00036293955,0.0012229502,0.000715317,0.0011128824,0.00041176978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063180174,0.000049704173,0.0014326684,0.00005070176,0.000072638555,0.00008970904,0.0000355195,0.9309595,0.0029328864,0.003295312,0.0014641919,0.05955403],"study_design_scores_gemma":[0.0000013434641,0.000005834261,0.000089847104,0.0000019898748,0.000004769585,0.0000055526366,0.0000012596255,0.99925905,0.0001643877,0.00031714735,0.00014655845,0.0000022682689],"about_ca_topic_score_codex":0.00989748,"about_ca_topic_score_gemma":0.010378279,"teacher_disagreement_score":0.00989748,"about_ca_system_score_codex":0.0005234146,"about_ca_system_score_gemma":0.0007223925,"threshold_uncertainty_score":0.019679725},"labels":[],"label_agreement":null},{"id":"W4283793687","doi":"10.3390/en15134901","title":"Electric Vehicle Charging Model in the Urban Residential Sector","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Electric vehicle; Automotive engineering; State of charge; Voltage; Distribution transformer; Computer science; Transformer; Power (physics); Electrical engineering; Battery (electricity); Engineering; Physics","score_opus":0.005960137195013419,"score_gpt":0.18108794657247484,"score_spread":0.17512780937746142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283793687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6181489,0.00044593387,0.33801675,0.0010445153,0.000101090765,0.00022291155,0.0029990966,0.0008285763,0.03819223],"genre_scores_gemma":[0.9825211,0.00016197657,0.005529143,0.000057082914,0.000012993188,0.00009347426,0.0006282349,0.000037175607,0.01095874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999754,0.00006285724,0.000012365974,0.00006006122,0.000048488724,0.000062148625],"domain_scores_gemma":[0.99960905,0.00014143485,0.000046708723,0.000023821083,0.00015711754,0.0000218392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004588101,0.00051185547,0.0005516412,0.0005030272,0.00048735048,0.00084778544,0.0013436888,0.0010383273,0.003031476],"category_scores_gemma":[0.0011084666,0.00033918067,0.00066165393,0.0008989341,0.000465524,0.00078615604,0.00060812314,0.0006945957,0.00062794646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012766196,0.000009064078,0.001068418,0.0000060777716,0.0000047219664,0.000045592806,0.000015501406,0.9959413,0.00012879392,0.0014056329,0.00020694103,0.0011551781],"study_design_scores_gemma":[0.0000022538336,0.0000036845931,0.0002563716,0.0000010172454,0.0000017681249,0.0000071236886,0.000013310655,0.9991328,0.000040506202,0.00039151136,0.00014755735,0.0000021326396],"about_ca_topic_score_codex":0.08558033,"about_ca_topic_score_gemma":0.040992662,"teacher_disagreement_score":0.08558033,"about_ca_system_score_codex":0.0017532719,"about_ca_system_score_gemma":0.0012505227,"threshold_uncertainty_score":0.17016435},"labels":[],"label_agreement":null},{"id":"W4283836337","doi":"10.3390/en15134921","title":"Evaluation of Gas-Based EOR Methods in Gas-Invaded Zones of Fractured Carbonate Reservoir","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","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":"Virtual Materials Group (Canada)","funders":"","keywords":"Petroleum engineering; Carbonate; Permeability (electromagnetism); Enhanced oil recovery; Fracture (geology); Geology; Geotechnical engineering; Materials science; Chemistry","score_opus":0.0307225397335191,"score_gpt":0.33295676047490835,"score_spread":0.3022342207413893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283836337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742376,0.00054018514,0.023688313,0.000054049768,0.000016432701,0.000045340825,0.00017899499,0.00035496312,0.00088411884],"genre_scores_gemma":[0.97981346,0.00034598535,0.019046899,0.000015766567,0.0000037551267,0.000027468996,0.00010006536,0.000031244876,0.00061546965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971443,0.00003685411,0.000014681645,0.00005907462,0.00013318665,0.000041670115],"domain_scores_gemma":[0.9996741,0.00012417932,0.00006340688,0.000030969277,0.00008741716,0.000019943696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067267206,0.00039416904,0.0003987607,0.0005763604,0.00015477886,0.0003307305,0.00056253857,0.0003714759,0.0006647219],"category_scores_gemma":[0.00094916654,0.00018666986,0.0003308686,0.00036269534,0.000292213,0.00058739516,0.00042250103,0.0003559712,0.00015001625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007638401,0.00024116508,0.008103025,0.000544119,0.000030061216,0.00036804998,0.00017207797,0.034042615,0.90750366,0.00048705697,0.00016314995,0.04758115],"study_design_scores_gemma":[0.000020148125,0.0010588544,0.010046835,0.000022758515,0.000034061286,0.00015500885,0.00019432974,0.26856872,0.71871656,0.00016247701,0.00096991606,0.000050373845],"about_ca_topic_score_codex":0.0021227824,"about_ca_topic_score_gemma":0.002754304,"teacher_disagreement_score":0.0021227824,"about_ca_system_score_codex":0.0003238796,"about_ca_system_score_gemma":0.00021952264,"threshold_uncertainty_score":0.0042207837},"labels":[],"label_agreement":null},{"id":"W4284896082","doi":"10.3390/en15144973","title":"Exergy Efficiency and COP Improvement of a CO2 Transcritical Heat Pump System by Replacing an Expansion Valve with a Tesla Turbine","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Exergy efficiency; Turbine; Coefficient of performance; Heat pump; Environmental science; Transcritical cycle; Process engineering; Nuclear engineering; Mechanical engineering; Thermodynamics; Engineering; Heat exchanger; Physics","score_opus":0.0038177018886810564,"score_gpt":0.18147553750823867,"score_spread":0.1776578356195576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284896082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717015,0.00006742269,0.0021078666,0.000012473287,0.0000067715137,0.000006543115,0.0000364796,0.000045426536,0.00054687663],"genre_scores_gemma":[0.9985885,0.000038255694,0.0010875806,0.0000022860593,0.0000011864015,0.0000060446578,0.000032773547,0.000006108257,0.00023722409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990237,0.000014211453,0.000009956198,0.000018978128,0.00003678926,0.000017553308],"domain_scores_gemma":[0.99987507,0.000043366093,0.000025344621,0.00001510576,0.000030086634,0.000011052728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021433647,0.00027786137,0.00034844657,0.00032049743,0.0002377071,0.00030645542,0.0002716087,0.00021987916,0.0013260981],"category_scores_gemma":[0.0003196354,0.00014669164,0.0003885753,0.0003666444,0.000276551,0.00047658946,0.00019916186,0.00022585415,0.00020077777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018595257,0.0003189527,0.0067576366,0.0002787375,0.0000477991,0.00035246427,0.00017021439,0.07454524,0.88596594,0.0009156629,0.00045500437,0.028332742],"study_design_scores_gemma":[0.00010657952,0.0023624941,0.034104627,0.0000118144635,0.00009675381,0.00018340327,0.00013984476,0.2652283,0.69568115,0.00012523487,0.0019094173,0.000050394123],"about_ca_topic_score_codex":0.0014468231,"about_ca_topic_score_gemma":0.0012727925,"teacher_disagreement_score":0.0014468231,"about_ca_system_score_codex":0.00025230457,"about_ca_system_score_gemma":0.0002532556,"threshold_uncertainty_score":0.004436195},"labels":[],"label_agreement":null},{"id":"W4284898406","doi":"10.3390/en15144986","title":"Numerical Simulation of Coastal Sub-Permafrost Gas Hydrate Formation in the Mackenzie Delta, Canadian Arctic","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":8,"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":"China Scholarship Council; Deutsche Forschungsgemeinschaft","keywords":"Permafrost; Arctic; Geology; Delta; Clathrate hydrate; Bay; Thermokarst; Geomorphology; Methane; Oceanography; Petrology; Hydrate; Hydrology (agriculture); Geotechnical engineering; Ecology","score_opus":0.00988497915171055,"score_gpt":0.21096861123956534,"score_spread":0.2010836320878548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284898406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893758,0.00011595236,0.0014950905,0.00025215343,0.000029039833,0.00003538145,0.00066357024,0.000071484494,0.0079614995],"genre_scores_gemma":[0.99653614,0.00007532255,0.0014968632,0.000045163775,0.0000054413504,0.000028534763,0.0004160835,0.000013627105,0.0013828388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986625,0.000015921312,0.000005927658,0.000022021128,0.000028502485,0.00006139404],"domain_scores_gemma":[0.99943584,0.00019814962,0.00006175822,0.000023259468,0.00015433674,0.00012674092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025900805,0.00068706594,0.00057812425,0.00061459903,0.0012932923,0.0011047433,0.0013013701,0.0016522912,0.0020033924],"category_scores_gemma":[0.0011687574,0.00034406115,0.0007068679,0.0007400742,0.0012539661,0.00030777595,0.00073698524,0.00069298275,0.00011568215],"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":[0.00007883577,0.00007682199,0.0091315685,0.000027155138,0.000026271638,0.00013380243,0.000054557036,0.9876688,0.0010131672,0.0006245432,0.0002628436,0.00090171763],"study_design_scores_gemma":[0.000041724103,0.000030051024,0.0045822696,0.000006955662,0.000014113405,0.000011214114,0.00013246191,0.9944395,0.00029755454,0.00012037893,0.000311775,0.000011960199],"about_ca_topic_score_codex":0.6185129,"about_ca_topic_score_gemma":0.45637923,"teacher_disagreement_score":0.38148707,"about_ca_system_score_codex":0.0043627406,"about_ca_system_score_gemma":0.004428433,"threshold_uncertainty_score":0.76746744},"labels":[],"label_agreement":null},{"id":"W4284962670","doi":"10.3390/en15144993","title":"Transformer-Based Model for Electrical Load Forecasting","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":157,"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","keywords":"Transformer; Computer science; Workflow; Electricity; Recurrent neural network; Architecture; Artificial intelligence; Artificial neural network; Engineering; Voltage; Electrical engineering","score_opus":0.025831570438522432,"score_gpt":0.2125115797646871,"score_spread":0.18668000932616466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284962670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029245025,0.00042950027,0.9603531,0.00030038418,0.00016045473,0.000055808712,0.0006287721,0.0018407975,0.0069862697],"genre_scores_gemma":[0.9418936,0.0004886816,0.048033506,0.00013145753,0.00007337012,0.00013624104,0.0008653399,0.00011094004,0.008266938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998115,0.000037233804,0.00001489225,0.00006119632,0.000044286924,0.000030855634],"domain_scores_gemma":[0.99976414,0.0001097381,0.000021818065,0.000016102367,0.00007689142,0.000011329625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003820276,0.00063941657,0.0006917185,0.0004733557,0.00031320172,0.00073802366,0.0012023402,0.00077817834,0.0045649325],"category_scores_gemma":[0.0010180193,0.00031485944,0.0008000558,0.00065431674,0.00032656587,0.000913505,0.00062292593,0.0010382072,0.0009741399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006556885,0.000022189111,0.0005464501,0.000025616007,0.000018972096,0.000047236204,0.00001939389,0.97188157,0.0010157482,0.0033236376,0.0010081196,0.022025533],"study_design_scores_gemma":[0.0000012180813,0.0000028046088,0.000030707146,6.4815436e-7,0.0000017861163,0.0000029467324,0.0000010859762,0.99923646,0.00007963659,0.0005302436,0.00011120475,0.0000012561734],"about_ca_topic_score_codex":0.01999184,"about_ca_topic_score_gemma":0.015572796,"teacher_disagreement_score":0.01999184,"about_ca_system_score_codex":0.0006908529,"about_ca_system_score_gemma":0.000831241,"threshold_uncertainty_score":0.039750934},"labels":[],"label_agreement":null},{"id":"W4284966409","doi":"10.3390/en15145005","title":"Deep Learning in High Voltage Engineering: A Literature Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"University of Waterloo; University of Manitoba","keywords":"Deep learning; Computer science; Artificial intelligence; High voltage; Transformer; Process (computing); Machine learning; Feature extraction; Voltage; Engineering; Electrical engineering","score_opus":0.01647636437489927,"score_gpt":0.2627871453766883,"score_spread":0.24631078100178902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284966409","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":[0.00036848075,0.99416274,0.0017307122,0.00045921016,0.00024500015,0.0000077914665,0.0000555341,0.000026988222,0.0029436252],"genre_scores_gemma":[0.0019894375,0.9955864,0.0010619636,0.0001398365,0.00020329082,0.000006552909,0.000067207904,0.0000056745916,0.0009396626],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982697,0.000026004549,0.000024272747,0.00003923059,0.00006845186,0.000015146708],"domain_scores_gemma":[0.9993044,0.00040750034,0.00006303579,0.000018625915,0.00017419152,0.000032233198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005418579,0.0008404304,0.00077518006,0.002309837,0.00023977713,0.0010361504,0.00073551503,0.0010007017,0.0063774576],"category_scores_gemma":[0.0012425819,0.00034908566,0.00053316227,0.0043125437,0.0003136864,0.0014495999,0.0007002051,0.0009953879,0.0023981552],"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":[0.000026655118,0.00007070253,0.00028316444,0.014538227,0.000059330323,0.00009537448,0.000064253254,0.0013947156,0.0007029506,0.005128174,0.02238767,0.9552488],"study_design_scores_gemma":[0.00000885571,0.00010644821,0.0011448442,0.011108101,0.00021874065,0.0006271488,0.00012629398,0.0015413698,0.00093705667,0.006351018,0.9777933,0.000036870693],"about_ca_topic_score_codex":0.0016206878,"about_ca_topic_score_gemma":0.0020085347,"teacher_disagreement_score":0.0063774576,"about_ca_system_score_codex":0.0003800968,"about_ca_system_score_gemma":0.0012639746,"threshold_uncertainty_score":0.021334708},"labels":[],"label_agreement":null},{"id":"W4285030258","doi":"10.3390/en15145071","title":"Pyrolysis of Chromated Copper Arsenate-Treated Wood: Investigation of Temperature, Granulometry, Biochar Yield, and Metal Pathways","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Technologique des Résidus Industriels; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Biochar; Chromated copper arsenate; Pyrolysis; Leaching (pedology); Toxicity characteristic leaching procedure; Arsenic; Incineration; Charcoal; Chemistry; Waste management; Chromium; Environmental chemistry; Pulp and paper industry; Copper; Metallurgy; Materials science; Environmental science; Heavy metals","score_opus":0.009846678134174799,"score_gpt":0.17985948225138723,"score_spread":0.17001280411721242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285030258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998049,0.0002103392,0.0011201926,0.0000068705695,0.0000042172255,0.0000074449567,0.00017269193,0.000015686102,0.00041361427],"genre_scores_gemma":[0.9978623,0.00025968166,0.0011463442,0.0000067525775,0.0000019856384,0.000008885277,0.00015240675,0.000015238139,0.0005463538],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987483,0.000012747038,0.0000091658185,0.000028090877,0.000052674717,0.000022454386],"domain_scores_gemma":[0.99991703,0.000022161319,0.000019631181,0.000006718142,0.000026745065,0.000007763065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017488551,0.00027485244,0.00020354008,0.00040296628,0.0001733609,0.00029792835,0.00013708627,0.00017010419,0.0005320619],"category_scores_gemma":[0.0001818998,0.00017021761,0.00030477016,0.0004027368,0.00019502259,0.00021531658,0.000121532496,0.00027903583,0.00014092863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013218037,0.000026479423,0.00212772,0.000050488812,0.000012281634,0.000053884756,0.000050390154,0.00034440708,0.99495643,0.00005530118,0.00002007607,0.002170355],"study_design_scores_gemma":[0.0000030160684,0.00010194577,0.016496476,0.0000049607384,0.00001839747,0.00007206577,0.00006824124,0.0016586552,0.9812262,0.000028800463,0.0003142748,0.0000069762887],"about_ca_topic_score_codex":0.001662552,"about_ca_topic_score_gemma":0.0031157918,"teacher_disagreement_score":0.001662552,"about_ca_system_score_codex":0.00018495608,"about_ca_system_score_gemma":0.0001440144,"threshold_uncertainty_score":0.0033057332},"labels":[],"label_agreement":null},{"id":"W4285089358","doi":"10.3390/en15145080","title":"Direct Model Reference Adaptive Control of a Boost Converter for Voltage Regulation in Microgrids","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); PID controller; Controller (irrigation); Boost converter; Voltage; Voltage controller; Photovoltaic system; Voltage reference; Computer science; Inductor; Engineering; Voltage regulator; Control engineering; Control (management); Voltage droop; Temperature control","score_opus":0.009435714470714571,"score_gpt":0.18597741589757136,"score_spread":0.1765417014268568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285089358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034984484,0.0009438039,0.9499377,0.00013656837,0.00017807422,0.00008965858,0.000030666622,0.001237793,0.012461218],"genre_scores_gemma":[0.9613931,0.0003011141,0.03472411,0.00007340844,0.000039014933,0.0000724866,0.000034902823,0.000032427943,0.0033294125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983144,0.00003057653,0.000010111573,0.000047569334,0.00006428126,0.000016067386],"domain_scores_gemma":[0.99985695,0.000037988953,0.000019388764,0.000019628373,0.000058896774,0.000007064745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031711947,0.00056863035,0.0004886495,0.00021583743,0.00033391293,0.0008312149,0.0006710012,0.0003352504,0.0019728793],"category_scores_gemma":[0.00041599417,0.0001634686,0.00031893986,0.00023571629,0.00025602887,0.00033825732,0.0003556354,0.00058083475,0.000422826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002852722,0.00017044683,0.0014343867,0.00057435,0.00013267413,0.00043784198,0.0003031377,0.6313178,0.05581126,0.013808324,0.0029843557,0.29274023],"study_design_scores_gemma":[0.000023445871,0.00014989989,0.00029006827,0.000015967515,0.000021126505,0.00008707859,0.00001638666,0.98902017,0.0059366785,0.0012118228,0.0032174592,0.000009946551],"about_ca_topic_score_codex":0.0022935935,"about_ca_topic_score_gemma":0.0019305026,"teacher_disagreement_score":0.0022935935,"about_ca_system_score_codex":0.00023886193,"about_ca_system_score_gemma":0.0003525228,"threshold_uncertainty_score":0.0065999627},"labels":[],"label_agreement":null},{"id":"W4285090396","doi":"10.3390/en15145074","title":"The Impact of Airspace Discretization on the Energy Consumption of Autonomous Unmanned Aerial Vehicles (Drones)","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy consumption; Discretization; Drone; Computer science; Automotive engineering; Engineering","score_opus":0.00763312465827937,"score_gpt":0.20585857248979406,"score_spread":0.1982254478315147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285090396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9280486,0.0002860925,0.06414102,0.00016003614,0.000043138138,0.000030898755,0.00023597309,0.00016025089,0.0068940865],"genre_scores_gemma":[0.9928415,0.00005601978,0.0067999028,0.000010683163,0.0000011543165,0.000007132264,0.000063185435,0.000013577126,0.0002068087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998197,0.00006637514,0.0000083624245,0.000024810479,0.000046789683,0.000033945686],"domain_scores_gemma":[0.9993544,0.00043742405,0.0000571274,0.000075486234,0.00005036689,0.000025079318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032163275,0.00029858548,0.00027259762,0.0001987394,0.00029079977,0.00056702754,0.00032748532,0.00030101588,0.0008555277],"category_scores_gemma":[0.0011725064,0.00013583309,0.00031411048,0.0003018654,0.0003919605,0.00056684244,0.00035701029,0.00041275876,0.000065135166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003601871,0.000020241096,0.0012502426,0.000019262741,0.0000058218748,0.000022691753,0.000015218012,0.99267995,0.001017817,0.0009873463,0.00007883659,0.003866509],"study_design_scores_gemma":[0.000008147192,0.000046124245,0.0007797568,0.0000062724625,0.0000052322994,0.000013935882,0.000055433877,0.9964226,0.001565256,0.0007490328,0.0003436097,0.0000044943226],"about_ca_topic_score_codex":0.010703984,"about_ca_topic_score_gemma":0.00850268,"teacher_disagreement_score":0.010703984,"about_ca_system_score_codex":0.0004988596,"about_ca_system_score_gemma":0.0005632623,"threshold_uncertainty_score":0.021283329},"labels":[],"label_agreement":null},{"id":"W4285092140","doi":"10.3390/en15145073","title":"A Framework for Reliability Assessment in Expansion Planning of Power Distribution Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Agência Nacional de Energia Elétrica; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Reliability (semiconductor); Reliability engineering; Automation; Interconnection; Estimation; Process (computing); Engineering; Power (physics); Computer science; Systems engineering","score_opus":0.011564352451776384,"score_gpt":0.2621501556489787,"score_spread":0.2505858031972023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285092140","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":[0.0005796472,0.00047276114,0.9959126,0.00016419898,0.000026200725,0.000052302174,0.000062610576,0.00008042785,0.0026492283],"genre_scores_gemma":[0.14956297,0.002520227,0.8438111,0.0001077038,0.00029042206,0.00071714557,0.00036900266,0.0001407768,0.0024807404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968202,0.0018360651,0.00017587948,0.00032172588,0.0007088254,0.00013728398],"domain_scores_gemma":[0.99706215,0.0017346047,0.00026168567,0.00021392571,0.000628873,0.00009871465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054513165,0.0023100104,0.0013260589,0.00283072,0.0008871978,0.0028766037,0.002400992,0.0013104472,0.002788791],"category_scores_gemma":[0.008226203,0.00080626534,0.0017057031,0.0022433428,0.0018139025,0.0022943625,0.001909226,0.0022802523,0.0007559295],"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":[0.000009323318,0.000030272153,0.00031314112,0.00016543639,0.00005143076,0.00013988027,0.00016428613,0.62228155,0.00054357597,0.3423335,0.0021041655,0.031863406],"study_design_scores_gemma":[0.000012393703,0.00004538494,0.00017707802,0.00018607434,0.00003394672,0.00009245689,0.00007684025,0.7713764,0.00027751422,0.21305788,0.014628754,0.000035301797],"about_ca_topic_score_codex":0.008464168,"about_ca_topic_score_gemma":0.005431122,"teacher_disagreement_score":0.008464168,"about_ca_system_score_codex":0.002267253,"about_ca_system_score_gemma":0.003154159,"threshold_uncertainty_score":0.028829694},"labels":[],"label_agreement":null},{"id":"W4285094045","doi":"10.3390/en15145081","title":"A Review on the Long-Term Performance of Proton Exchange Membrane Fuel Cells: From Degradation Modeling to the Effects of Bipolar Plates, Sealings, and Contaminants","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Proton exchange membrane fuel cell; Stack (abstract data type); Commercialization; Coating; Durability; Process engineering; Materials science; Computer science; Environmental science; Engineering; Fuel cells; Nanotechnology; Composite material","score_opus":0.024804719402285784,"score_gpt":0.23943214212694242,"score_spread":0.21462742272465662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285094045","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":[0.00032200792,0.99751616,0.00035455177,0.00018653976,0.00019903503,0.000006024471,0.000046098612,0.000010106936,0.0013593867],"genre_scores_gemma":[0.0010849856,0.9975374,0.00033395423,0.00012500302,0.000101973426,0.000007066036,0.000050327217,0.000002908201,0.00075645844],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997024,0.000041688614,0.000049053455,0.000055919172,0.00012654798,0.000024343879],"domain_scores_gemma":[0.9995197,0.00020605892,0.00007609428,0.00001722254,0.00015958206,0.000021337657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005070369,0.001041308,0.0012106183,0.0020656048,0.0002534056,0.00096897024,0.00077080936,0.0009761959,0.0032055597],"category_scores_gemma":[0.00072772993,0.0003834866,0.0007836732,0.0029341455,0.00025964077,0.0014873482,0.00047349196,0.001048702,0.0016022079],"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":[0.00009155012,0.0001301778,0.00027359513,0.09111672,0.00023464406,0.00024896394,0.00013359291,0.0015476497,0.014120631,0.006454608,0.03877794,0.84687],"study_design_scores_gemma":[0.000005843774,0.00014703645,0.0008133932,0.0059572575,0.00025388034,0.0005160783,0.000059958267,0.00021978932,0.0027769262,0.001182882,0.9880378,0.000029104127],"about_ca_topic_score_codex":0.0011184983,"about_ca_topic_score_gemma":0.001623794,"teacher_disagreement_score":0.0032055597,"about_ca_system_score_codex":0.0004487301,"about_ca_system_score_gemma":0.0011292713,"threshold_uncertainty_score":0.01072371},"labels":[],"label_agreement":null},{"id":"W4285496106","doi":"10.3390/en15145108","title":"Development of a Simple Experimental Setup for the Study of the Formation of Dry Bands on Composite Insulators","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials 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":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Insulator (electricity); Materials science; Relative humidity; Wetting; Voltage; Composite number; Humidity; Composite material; Current density; Optoelectronics; Electrical engineering; Engineering; Meteorology","score_opus":0.02239944519951916,"score_gpt":0.2629164372133506,"score_spread":0.24051699201383145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285496106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6486974,0.0005323963,0.34419256,0.00008712958,0.00030242364,0.00050526566,0.0012106108,0.0013226893,0.0031494147],"genre_scores_gemma":[0.78169775,0.00046186158,0.21566658,0.000028665185,0.000037471757,0.0005636858,0.0005738132,0.0001202838,0.0008498468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997031,0.000029860177,0.000017954653,0.00009805745,0.00011422934,0.000036661626],"domain_scores_gemma":[0.9995629,0.00010102502,0.000079882695,0.00014436705,0.00008092182,0.000030981373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004005935,0.00068415503,0.00048520367,0.0003318454,0.00029567338,0.0002730125,0.0007631086,0.00056614407,0.0018516576],"category_scores_gemma":[0.0005096071,0.00033086608,0.000325582,0.00020011552,0.00039334883,0.00041376296,0.00052634685,0.00069313135,0.00050162064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004506598,0.000037716603,0.0003415266,0.00012595329,0.0000053896424,0.00007703232,0.00003293298,0.0014547997,0.995533,0.0005006004,0.0000560297,0.0017899778],"study_design_scores_gemma":[0.000030693467,0.0010730067,0.0030918627,0.000010467624,0.000017966608,0.00024938874,0.00004986838,0.01002085,0.98092365,0.00026496808,0.0042405445,0.000026792031],"about_ca_topic_score_codex":0.00023694818,"about_ca_topic_score_gemma":0.00039620887,"teacher_disagreement_score":0.0018516576,"about_ca_system_score_codex":0.0002441334,"about_ca_system_score_gemma":0.00027583423,"threshold_uncertainty_score":0.006194353},"labels":[],"label_agreement":null},{"id":"W4285596949","doi":"10.3390/en15145123","title":"Quantitative Analysis of China’s Carbon Emissions Trading Policies: Perspectives of Policy Content Validity and Carbon Emissions Reduction Effect","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Divisia index; Greenhouse gas; Beijing; Environmental economics; Index (typography); Carbon fibers; China; Policy analysis; Natural resource economics; Economics; Environmental science; Public economics; Efficient energy use; Political science; Computer science; Engineering; Public administration","score_opus":0.02957571891003922,"score_gpt":0.294962863186857,"score_spread":0.26538714427681775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285596949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96085125,0.00049508485,0.016064119,0.0014521818,0.00004095235,0.00036279435,0.0019474305,0.00007104195,0.018715026],"genre_scores_gemma":[0.99679863,0.00009307173,0.0020747404,0.000055123506,0.00001345579,0.00015764748,0.00048074604,0.000008621204,0.00031796712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9859081,0.006827719,0.0014036123,0.001222137,0.0039995755,0.0006388954],"domain_scores_gemma":[0.9347008,0.041608505,0.008409214,0.0035837197,0.011187115,0.00051069015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02452351,0.00045401568,0.00056720484,0.0053248988,0.00087742315,0.0021938465,0.00065971364,0.00043675012,0.0013864065],"category_scores_gemma":[0.06140944,0.00021353299,0.00070764805,0.008322155,0.0026679477,0.0023813634,0.0013745133,0.0006923272,0.00008867412],"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":[0.00038667428,0.00021234162,0.7959245,0.0011629959,0.00081136485,0.0002412713,0.009320521,0.026393026,0.0031828107,0.08158998,0.0021565456,0.07861793],"study_design_scores_gemma":[0.00004243773,0.00020302483,0.9205755,0.00022890263,0.00024693809,0.000049659513,0.006496999,0.038153365,0.0035387618,0.022544421,0.00784471,0.00007526791],"about_ca_topic_score_codex":0.018847868,"about_ca_topic_score_gemma":0.008267211,"teacher_disagreement_score":0.02452351,"about_ca_system_score_codex":0.00693018,"about_ca_system_score_gemma":0.006067495,"threshold_uncertainty_score":0.12969428},"labels":[],"label_agreement":null},{"id":"W4285794870","doi":"10.3390/en15145219","title":"Pressurized Chemical Looping for Direct Reduced Iron Production: Carbon Neutral Process Configuration and Performance","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","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":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Direct reduced iron; Waste management; Carbon capture and storage (timeline); Production (economics); Combustion; Engineering; Environmental science; Materials science; Metallurgy; Chemistry","score_opus":0.008029516193102704,"score_gpt":0.20412977036966118,"score_spread":0.19610025417655846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285794870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822996,0.0006957589,0.010289571,0.000094311086,0.00002215161,0.00007274567,0.00031943875,0.00032534296,0.0058810236],"genre_scores_gemma":[0.9928572,0.0002348989,0.0057375007,0.0000124152875,0.000002444848,0.00001421553,0.000120779936,0.000017282779,0.0010032082],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997689,0.000021333493,0.000009764968,0.0000509041,0.000111384514,0.000037685906],"domain_scores_gemma":[0.9998097,0.00005275237,0.000038385886,0.00002671278,0.00004864668,0.000023813644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043364367,0.00031483753,0.00035729256,0.0003896477,0.00027233604,0.00067098654,0.00055697316,0.00044895685,0.0020288783],"category_scores_gemma":[0.0005770367,0.00016377673,0.0002740533,0.0003693334,0.00026060877,0.0005410629,0.00025729233,0.00054594857,0.0003934831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015301986,0.00077624165,0.0040695434,0.00064293126,0.00003128397,0.00034726367,0.00014973349,0.08070426,0.87022096,0.002815301,0.0006909115,0.038021382],"study_design_scores_gemma":[0.00015908484,0.0027619347,0.003950453,0.000015377202,0.00002565683,0.0001545917,0.00007016044,0.1358946,0.85131866,0.00039913759,0.0052135857,0.00003661049],"about_ca_topic_score_codex":0.0024682519,"about_ca_topic_score_gemma":0.0038320466,"teacher_disagreement_score":0.0024682519,"about_ca_system_score_codex":0.0007748928,"about_ca_system_score_gemma":0.00037244573,"threshold_uncertainty_score":0.0067873},"labels":[],"label_agreement":null},{"id":"W4286007775","doi":"10.3390/en15145245","title":"A Hybrid Framework Combining Data-Driven and Catenary-Based Methods for Wide-Area Powerline Sag Estimation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Catenary; Adaptability; Electric power transmission; Cluster analysis; Computer science; Data mining; Estimation; Transmission (telecommunications); Power (physics); Engineering; Artificial intelligence; Telecommunications","score_opus":0.025579245689147136,"score_gpt":0.30612209170277,"score_spread":0.28054284601362284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286007775","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030075852,0.00017631591,0.99601597,0.00004360484,0.000022590808,0.000026472253,0.00003441521,0.00037569602,0.000297346],"genre_scores_gemma":[0.29618064,0.00049210706,0.69885623,0.00027899604,0.00018308537,0.00027991657,0.00078666094,0.00021153175,0.002730812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992767,0.00017473508,0.000048068872,0.00019320578,0.00021798704,0.00008927896],"domain_scores_gemma":[0.9992404,0.0002012635,0.00009726008,0.000078698664,0.00033707125,0.00004533071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012827587,0.0010509659,0.0014957336,0.001830061,0.00049825845,0.001055292,0.001857013,0.0010923336,0.0009940298],"category_scores_gemma":[0.0018114141,0.00052802294,0.0009866087,0.0019812756,0.0005725709,0.0013689096,0.0013491401,0.000954925,0.0004673024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001580613,0.00016677225,0.0022826293,0.00021789155,0.00017386497,0.00009831103,0.00013432643,0.56290346,0.010339761,0.006114601,0.002778586,0.4146317],"study_design_scores_gemma":[0.000004645992,0.000025707239,0.00028645713,0.000007402223,0.000009064447,0.000017369242,0.000014754332,0.9967933,0.0008535587,0.0011851863,0.0007938621,0.000008645579],"about_ca_topic_score_codex":0.011023906,"about_ca_topic_score_gemma":0.010843092,"teacher_disagreement_score":0.011023906,"about_ca_system_score_codex":0.0005752153,"about_ca_system_score_gemma":0.0015924559,"threshold_uncertainty_score":0.021919489},"labels":[],"label_agreement":null},{"id":"W4286007967","doi":"10.3390/en15145247","title":"A Review of Proxy Modeling Highlighting Applications for Reservoir Engineering","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Mitacs","keywords":"Proxy (statistics); Computer science; Data mining; Categorization; Operations research; Machine learning; Artificial intelligence; Engineering","score_opus":0.06981162256958562,"score_gpt":0.3451173665449969,"score_spread":0.2753057439754113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286007967","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":[0.0019362041,0.9027751,0.07091558,0.002103392,0.0017980237,0.00007438973,0.0006885844,0.000466316,0.019242356],"genre_scores_gemma":[0.016585127,0.9505338,0.025227958,0.00082883576,0.0012107255,0.00008408694,0.0008888625,0.00017579156,0.004464831],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916136,0.00016597583,0.00015111809,0.00014996353,0.00031733295,0.00005420665],"domain_scores_gemma":[0.99792093,0.0011940871,0.00019957719,0.00012843078,0.00050028873,0.000056701363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013977168,0.0015616586,0.0014012139,0.0035776496,0.00064292504,0.0028253614,0.0020024974,0.001602893,0.006749182],"category_scores_gemma":[0.004271494,0.0007765412,0.0018693293,0.008015068,0.0007402675,0.004224874,0.0011808854,0.001655334,0.0036526846],"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":[0.00007598436,0.00009115576,0.0020999021,0.024373125,0.00017838192,0.00054609595,0.00024188531,0.021758238,0.0029050678,0.079170756,0.06406403,0.8044953],"study_design_scores_gemma":[0.000008122877,0.00009804057,0.0013715458,0.006205293,0.00018147679,0.0009974063,0.00017765537,0.016704816,0.0019780446,0.024496058,0.947669,0.00011243333],"about_ca_topic_score_codex":0.0037967819,"about_ca_topic_score_gemma":0.0030237227,"teacher_disagreement_score":0.006749182,"about_ca_system_score_codex":0.0009269932,"about_ca_system_score_gemma":0.0021728799,"threshold_uncertainty_score":0.02257824},"labels":[],"label_agreement":null},{"id":"W4286490390","doi":"10.3390/en15145299","title":"Short-Term Load Forecasting with a Novel Wavelet-Based Ensemble Method","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Term (time); Wavelet; Wavelet transform; Energy (signal processing); Data mining; Electricity; Grid; Decomposition; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Machine learning; Engineering; Statistics; Mathematics","score_opus":0.025134761923050326,"score_gpt":0.22908317012224616,"score_spread":0.20394840819919582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286490390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03590532,0.00025345437,0.96205866,0.00009886796,0.00006151211,0.0000208553,0.00013287566,0.0003697702,0.0010986455],"genre_scores_gemma":[0.70960426,0.00076640677,0.28540698,0.0000835149,0.0001592912,0.00010107008,0.0008188895,0.00010330628,0.0029563326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997341,0.000051103743,0.000018456252,0.000057682093,0.00011043674,0.000028187926],"domain_scores_gemma":[0.99967074,0.000108803775,0.000037312588,0.000041997027,0.00012570957,0.00001540281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061111426,0.0005068661,0.0007333786,0.0006802603,0.00026775533,0.00058176025,0.00073896174,0.000507482,0.00087562914],"category_scores_gemma":[0.0014264631,0.00024829188,0.0006751521,0.0009802198,0.0001188385,0.0010824285,0.00048359548,0.00082828355,0.0003459761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011216738,0.00010450853,0.0034043202,0.000053057942,0.00015214314,0.00009404059,0.00007357912,0.58036166,0.008199237,0.004043895,0.0025396687,0.40086168],"study_design_scores_gemma":[0.0000011915097,0.000005067581,0.00015499766,0.0000013693441,0.0000051510715,0.0000057378925,0.00000195825,0.99922407,0.00023209973,0.00021277597,0.0001532135,0.000002293679],"about_ca_topic_score_codex":0.0049347063,"about_ca_topic_score_gemma":0.004104632,"teacher_disagreement_score":0.0049347063,"about_ca_system_score_codex":0.00022720882,"about_ca_system_score_gemma":0.0004535587,"threshold_uncertainty_score":0.009811938},"labels":[],"label_agreement":null},{"id":"W4288067487","doi":"10.3390/en15155447","title":"Global Progress in Oil and Gas Well Research Using Bibliometric Analysis Based on VOSviewer and CiteSpace","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Fossil fuel; China; Engineering; Petroleum engineering; Environmental science; Regional science; Geography; Archaeology; Waste management","score_opus":0.04086695499072194,"score_gpt":0.32041737550657173,"score_spread":0.2795504205158498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288067487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5966781,0.15753469,0.019796051,0.0043362966,0.0007309745,0.0008415178,0.14406854,0.0023692248,0.073644616],"genre_scores_gemma":[0.87203455,0.057578143,0.019300554,0.00017745732,0.00050949864,0.0006914243,0.04698002,0.00018041335,0.002548057],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98750675,0.0022770385,0.0028201942,0.0012904614,0.0055801123,0.00052533456],"domain_scores_gemma":[0.9684808,0.018429218,0.006306347,0.0012421462,0.004900449,0.0006410109],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.010268408,0.0010906009,0.0020645692,0.23879738,0.0010419978,0.007224455,0.00072528905,0.0006421274,0.0042062365],"category_scores_gemma":[0.0300474,0.00026612167,0.0028830022,0.24869628,0.0009680317,0.006400133,0.0028242238,0.0005295272,0.0007931983],"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":[0.00032888842,0.00014078643,0.37841168,0.037542135,0.0048844754,0.0011815783,0.008577183,0.0060384637,0.0049331454,0.022242062,0.029141588,0.506578],"study_design_scores_gemma":[0.00006406213,0.00021715282,0.7721977,0.008365759,0.004479143,0.0020061655,0.013203878,0.011423447,0.004266144,0.016205395,0.16715604,0.00041493043],"about_ca_topic_score_codex":0.0069284798,"about_ca_topic_score_gemma":0.0069324016,"teacher_disagreement_score":0.9897316,"about_ca_system_score_codex":0.0021330856,"about_ca_system_score_gemma":0.0034899074,"threshold_uncertainty_score":0.054305136},"labels":[],"label_agreement":null},{"id":"W4288068532","doi":"10.3390/en15155427","title":"Optimal Design and Operation of Dual-Ejector PEMFC Hydrogen Supply and Circulation System","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Injector; Proton exchange membrane fuel cell; Automotive engineering; Piping; Hydrogen; Computational fluid dynamics; Range (aeronautics); Stack (abstract data type); Prime mover; Nuclear engineering; Environmental science; Engineering; Control theory (sociology); Mechanical engineering; Computer science; Chemistry; Fuel cells; Aerospace engineering","score_opus":0.008160394896767613,"score_gpt":0.18219270771482773,"score_spread":0.17403231281806011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288068532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4582841,0.00087537203,0.521059,0.00034706548,0.00008024577,0.0003417323,0.0002310407,0.0005259929,0.018255383],"genre_scores_gemma":[0.96971804,0.00013430485,0.028324502,0.000020747979,0.000008182545,0.00013590718,0.000050211762,0.000018294491,0.0015898412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971896,0.000050748098,0.000013035128,0.000065280154,0.00009816922,0.000053846652],"domain_scores_gemma":[0.99986124,0.00003208115,0.000032707932,0.0000071037034,0.00005278096,0.000014041009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041790676,0.00050592824,0.00069176074,0.0004037736,0.00047955292,0.0009223656,0.00051268283,0.0006094002,0.0012058199],"category_scores_gemma":[0.00048204238,0.000494728,0.00037920487,0.00023165195,0.00033753828,0.0003884762,0.00044194583,0.00035666517,0.00018236956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027383212,0.00008972134,0.0012747451,0.00018699927,0.000036847698,0.0001455574,0.00009356702,0.9191406,0.051035684,0.0027971994,0.0006530682,0.024272183],"study_design_scores_gemma":[0.00004043492,0.00022924748,0.0007877497,0.0000067031688,0.000026034817,0.00003059637,0.000032159256,0.9884339,0.008782437,0.00038115674,0.0012328426,0.000016772896],"about_ca_topic_score_codex":0.004586661,"about_ca_topic_score_gemma":0.003427105,"teacher_disagreement_score":0.004586661,"about_ca_system_score_codex":0.0008271848,"about_ca_system_score_gemma":0.0014514675,"threshold_uncertainty_score":0.009119928},"labels":[],"label_agreement":null},{"id":"W4288443117","doi":"10.3390/en15155472","title":"A Multi-Hour Ahead Wind Power Forecasting System Based on a WRF-TOPSIS-ANFIS Model","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptive neuro fuzzy inference system; Weather Research and Forecasting Model; Wind power forecasting; Wind speed; Wind power; TOPSIS; Renewable energy; Computer science; Meteorology; Electric power system; Power (physics); Engineering; Fuzzy logic; Artificial intelligence; Operations research; Fuzzy control system; Geography","score_opus":0.02480131585906165,"score_gpt":0.20627903493480818,"score_spread":0.18147771907574653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288443117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17261155,0.00054653554,0.8092293,0.000537401,0.00026496002,0.0003624397,0.00050159974,0.00163721,0.014308973],"genre_scores_gemma":[0.9383516,0.00028322547,0.05707845,0.0000448439,0.00003520127,0.00026016516,0.00022525468,0.000013623738,0.003707571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997011,0.00005923348,0.00003562382,0.00007572379,0.00009834776,0.000030008248],"domain_scores_gemma":[0.99982136,0.00006578296,0.00002486953,0.000008113196,0.00007125393,0.000008575113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054630433,0.00070787774,0.0007064032,0.00044066863,0.0006201128,0.0008141292,0.0007291933,0.0008353222,0.0019078936],"category_scores_gemma":[0.0007508364,0.00033560247,0.0006449466,0.00043725918,0.0002273462,0.00065460923,0.00034056228,0.00080244977,0.00027362746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009099143,0.00006235104,0.001017647,0.000099940735,0.00006796394,0.00018250174,0.00010219501,0.9402606,0.0035237446,0.0017968287,0.00067023654,0.05212501],"study_design_scores_gemma":[0.000005108995,0.000032062402,0.00021885992,0.000004079396,0.000009625466,0.000011845421,0.000008052676,0.99902546,0.00030629235,0.00017987119,0.00019375181,0.0000049479468],"about_ca_topic_score_codex":0.01957224,"about_ca_topic_score_gemma":0.014353691,"teacher_disagreement_score":0.01957224,"about_ca_system_score_codex":0.00053567276,"about_ca_system_score_gemma":0.00071154797,"threshold_uncertainty_score":0.038916588},"labels":[],"label_agreement":null},{"id":"W4288445924","doi":"10.3390/en15155486","title":"Hydrogen Production and Storage: Analysing Integration of Photoelectrolysis, Electron Harvesting Lignocellulose, and Atmospheric Carbon Dioxide-Fixing Biosynthesis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Photocatalysis; Hydrogen production; Materials science; Water splitting; Titanium dioxide; Chemical engineering; Hydrogen; Photochemistry; Chemistry; Catalysis; Organic chemistry; Composite material","score_opus":0.007939324802705015,"score_gpt":0.2249543532620837,"score_spread":0.2170150284593787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288445924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969715,0.0008220912,0.0011619483,0.000017889784,0.0000063208595,0.000007895283,0.00013424648,0.000025597163,0.0008526681],"genre_scores_gemma":[0.99759334,0.00036038685,0.0010094686,0.0000074201844,0.0000020495945,0.000007041387,0.00017303172,0.000008452018,0.00083886005],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999398,0.000003829678,0.0000031632846,0.000016780456,0.000020894171,0.000015520538],"domain_scores_gemma":[0.9999659,0.000008973877,0.0000055926093,0.000003459025,0.000010952157,0.000005106923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094285235,0.00018656539,0.00015373572,0.00018010612,0.00010978765,0.00033058514,0.0002110474,0.00021054833,0.00073201454],"category_scores_gemma":[0.00010708038,0.0001022388,0.00016492243,0.00025457403,0.00009677945,0.00037381076,0.00014319869,0.0002077876,0.00012464338],"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":[0.00009140206,0.000025151752,0.00055152545,0.000039620427,0.00000698948,0.000026907492,0.0000119632305,0.00022167838,0.9961345,0.000062338455,0.000024930137,0.0028029282],"study_design_scores_gemma":[0.0000028023292,0.000101310485,0.0023103305,0.000002188012,0.000009044977,0.000022265976,0.000017357603,0.00213179,0.99497664,0.000023605167,0.00040007557,0.0000026199089],"about_ca_topic_score_codex":0.0013864863,"about_ca_topic_score_gemma":0.0019737037,"teacher_disagreement_score":0.0013864863,"about_ca_system_score_codex":0.00027196007,"about_ca_system_score_gemma":0.0001467735,"threshold_uncertainty_score":0.0027567744},"labels":[],"label_agreement":null},{"id":"W4289109881","doi":"10.3390/en15155533","title":"Interaction Mechanism of the Upper and Lower Main Roofs with Different Properties in Close Coal Seams: A Case Study","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Roof; Instability; Coal mining; Geology; Weighting; Fracture (geology); Structural engineering; Coal; Stability (learning theory); Thrust; Critical load; Geotechnical engineering; Mining engineering; Mechanics; Engineering; Buckling; Computer science; Physics","score_opus":0.011935535686911056,"score_gpt":0.19975283520426595,"score_spread":0.1878172995173549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289109881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98771507,0.00012839303,0.009623322,0.000053287946,0.000010344487,0.000034872945,0.00006272104,0.00005523706,0.0023167492],"genre_scores_gemma":[0.9963379,0.000051480976,0.0023335193,0.0000055306737,0.0000039934885,0.000009755784,0.000039619972,0.0000075571415,0.0012105833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99956673,0.0000545262,0.00002491568,0.00008778729,0.00015681435,0.00010920388],"domain_scores_gemma":[0.99960536,0.00011831635,0.00007993051,0.00005810157,0.00007652217,0.00006173542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068326364,0.000519921,0.0005291402,0.0011720998,0.0014852174,0.000941712,0.0011736315,0.0016713621,0.003139487],"category_scores_gemma":[0.00072412327,0.0004968643,0.0011916653,0.00066258345,0.0008509953,0.0011264762,0.0011846252,0.0004357564,0.00028948553],"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":[0.0009801826,0.0010214609,0.36417624,0.0006974582,0.0003488277,0.059413575,0.005024439,0.40916365,0.068224095,0.013089738,0.0028508268,0.075009525],"study_design_scores_gemma":[0.00007842557,0.00058973726,0.13573109,0.00006051301,0.00025823968,0.0075038667,0.0070443046,0.816987,0.022096043,0.004910533,0.004601011,0.00013929233],"about_ca_topic_score_codex":0.01252178,"about_ca_topic_score_gemma":0.013776803,"teacher_disagreement_score":0.01252178,"about_ca_system_score_codex":0.0008094828,"about_ca_system_score_gemma":0.0005163929,"threshold_uncertainty_score":0.024897754},"labels":[],"label_agreement":null},{"id":"W4289110379","doi":"10.3390/en15155532","title":"An Integrated Experimental and Computational Platform to Explore Gas Hydrate Promotion, Inhibition, Rheology, and Mechanical Properties at McGill University: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental 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":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clathrate hydrate; Rheology; Context (archaeology); Characterization (materials science); Work (physics); Fossil fuel; Materials science; Mechanical engineering; Computer science; Nanotechnology; Process engineering; Hydrate; Chemistry; Engineering; Composite material; Organic chemistry; Geology","score_opus":0.07224073927425441,"score_gpt":0.2748172725414243,"score_spread":0.2025765332671699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289110379","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":[0.00024502794,0.9972698,0.0007616525,0.00028768583,0.0001561897,0.000012068947,0.000044556993,0.000018193836,0.0012047398],"genre_scores_gemma":[0.0020165725,0.99604875,0.000985393,0.0001639601,0.00014182676,0.000033077897,0.00006327563,0.000009764447,0.00053739554],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996351,0.000075023796,0.00003616683,0.000082425344,0.00013031506,0.000040901956],"domain_scores_gemma":[0.9989998,0.00059103424,0.00011069924,0.000041486215,0.00021140552,0.00004557956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014831334,0.0013322738,0.0014388285,0.0021862234,0.00034694784,0.001005929,0.0014960861,0.0013820675,0.0032899852],"category_scores_gemma":[0.0016075094,0.0005753606,0.00081099797,0.0026944715,0.00056794845,0.0015886297,0.00094598485,0.001451227,0.001091842],"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":[0.000105546904,0.00018463546,0.00038542412,0.07334287,0.0002974082,0.00015783252,0.00014050517,0.003661361,0.0072927764,0.028347837,0.03298706,0.8530968],"study_design_scores_gemma":[0.000021839962,0.00023452847,0.0010830626,0.010982563,0.00043268048,0.00031193247,0.00008158426,0.0012093707,0.005052164,0.0064701657,0.9740476,0.000072484116],"about_ca_topic_score_codex":0.0031638038,"about_ca_topic_score_gemma":0.0044093616,"teacher_disagreement_score":0.0032899852,"about_ca_system_score_codex":0.00094493275,"about_ca_system_score_gemma":0.0024905992,"threshold_uncertainty_score":0.011006117},"labels":[],"label_agreement":null},{"id":"W4289110626","doi":"10.3390/en15155519","title":"A Review on Geothermal Renewable Energy Systems for Eco-Friendly Air-Conditioning","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":33,"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":"Air conditioning; Renewable energy; Environmental science; Heat exchanger; Energy consumption; Environmentally friendly; Geothermal energy; Process engineering; Efficient energy use; Thermal comfort; Waste management; Environmental engineering; Geothermal gradient; Architectural engineering; Engineering; Meteorology; Mechanical engineering; Electrical engineering","score_opus":0.033792324730476414,"score_gpt":0.28768232365126595,"score_spread":0.25388999892078956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289110626","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":[0.000431916,0.9933629,0.00072663184,0.00021419098,0.00038014553,0.000017873785,0.00008670694,0.000016891216,0.0047627827],"genre_scores_gemma":[0.0022966082,0.9945808,0.0007495859,0.00015155075,0.00016473349,0.000016280706,0.00010186384,0.0000056732406,0.0019329569],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980825,0.000026477828,0.000029181467,0.000043827717,0.00007420864,0.000018030121],"domain_scores_gemma":[0.99974865,0.00012553461,0.00003778868,0.000011070021,0.00006584564,0.0000111318805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003922313,0.0009650513,0.00087702734,0.0018337606,0.0002791585,0.000888714,0.00068663625,0.00086732995,0.00961727],"category_scores_gemma":[0.00051163253,0.00035767833,0.00079258176,0.0025385127,0.00020381878,0.0011546011,0.00054618926,0.00091263064,0.0030235557],"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":[0.00006169337,0.000109378576,0.00024413633,0.0529802,0.00015623966,0.0002273644,0.00008299867,0.0013028337,0.00586387,0.010737708,0.0340791,0.8941544],"study_design_scores_gemma":[0.000003629019,0.00007173596,0.00044921643,0.0031829712,0.00010019426,0.0003488611,0.00003103983,0.00014675979,0.0011275479,0.0010476344,0.9934756,0.000014907227],"about_ca_topic_score_codex":0.0009748478,"about_ca_topic_score_gemma":0.0016002671,"teacher_disagreement_score":0.00961727,"about_ca_system_score_codex":0.000310785,"about_ca_system_score_gemma":0.0008137589,"threshold_uncertainty_score":0.032172978},"labels":[],"label_agreement":null},{"id":"W4289133143","doi":"10.3390/en15155567","title":"Multi-Pulse Rectifier Based on an Optimal Pulse Doubling Technique","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Total harmonic distortion; Rectifier (neural networks); Harmonics; Pulse-width modulation; Computer science; Electronic engineering; Diode; Power (physics); Pulse (music); Power factor; Control theory (sociology); Engineering; Electrical engineering; Detector; Voltage; Physics; Artificial neural network","score_opus":0.020391254164799692,"score_gpt":0.2355462519493613,"score_spread":0.2151549977845616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289133143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15200272,0.0025473344,0.803382,0.00036667832,0.00031992898,0.00020158205,0.00018192046,0.0012331451,0.039764635],"genre_scores_gemma":[0.82913464,0.00092276157,0.1610275,0.00009565065,0.000088255016,0.000061282124,0.00012415863,0.000055461078,0.008490182],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999705,0.000025228666,0.000020453803,0.000073142546,0.00014751252,0.000028600043],"domain_scores_gemma":[0.99988353,0.000022198228,0.00003194972,0.000020291325,0.00003386785,0.000008152747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016202325,0.0002549211,0.00034749502,0.00033031392,0.00019606877,0.0004874304,0.00058333937,0.00031051546,0.0027873367],"category_scores_gemma":[0.00023208503,0.00019011978,0.00033696435,0.0004972085,0.00020623008,0.00094557856,0.00032796332,0.00053253985,0.0008631969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022057464,0.00006650955,0.0005748722,0.00042806476,0.000032831926,0.0002478297,0.00015087139,0.005181098,0.7615098,0.023297677,0.0015152495,0.20677464],"study_design_scores_gemma":[0.00008886515,0.0011610129,0.0016415558,0.00005094489,0.00009446645,0.0025404335,0.000068556066,0.098891035,0.82317525,0.005316045,0.06691115,0.00006057072],"about_ca_topic_score_codex":0.00011591912,"about_ca_topic_score_gemma":0.00021850337,"teacher_disagreement_score":0.0027873367,"about_ca_system_score_codex":0.00028014474,"about_ca_system_score_gemma":0.00020433519,"threshold_uncertainty_score":0.009324491},"labels":[],"label_agreement":null},{"id":"W4289341662","doi":"10.3390/en15155580","title":"Data-Driven Degradation Modeling and SOH Prediction of Li-Ion Batteries","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of health; Battery (electricity); Kalman filter; Extended Kalman filter; Computer science; Automotive engineering; Process (computing); Degradation (telecommunications); Engineering; Power (physics); Artificial intelligence","score_opus":0.04098975217405092,"score_gpt":0.2612857289224992,"score_spread":0.22029597674844825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289341662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66975147,0.0011430428,0.32349917,0.000277338,0.00008050793,0.00007347611,0.0007790259,0.0008421226,0.003553871],"genre_scores_gemma":[0.9961028,0.00019198439,0.0027928425,0.0000107931755,0.000006065652,0.000026910922,0.00024027705,0.000007802093,0.0006206035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986947,0.000021542344,0.000013370053,0.000034708064,0.000046927868,0.000013953477],"domain_scores_gemma":[0.99959236,0.00015736383,0.000048703598,0.000032392887,0.0001601688,0.000008983795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035670903,0.00051826274,0.0004292183,0.00038753374,0.00015428201,0.0005323442,0.00061131554,0.00051979267,0.00031697407],"category_scores_gemma":[0.0011558789,0.00023366994,0.00046994918,0.00034371164,0.00018124831,0.0005986311,0.000243884,0.00047536765,0.00014029993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058241436,0.000038746133,0.004108503,0.00006775132,0.000025987583,0.000044148477,0.00004501571,0.9738178,0.0031989,0.00036210226,0.00026531686,0.017967483],"study_design_scores_gemma":[8.264002e-7,0.0000097281345,0.00070805283,0.0000016877256,0.0000027718042,0.0000053165904,0.0000043408436,0.9982895,0.0007931404,0.00011353233,0.000068369685,0.000002661937],"about_ca_topic_score_codex":0.012238094,"about_ca_topic_score_gemma":0.005779652,"teacher_disagreement_score":0.012238094,"about_ca_system_score_codex":0.00046310812,"about_ca_system_score_gemma":0.00038145535,"threshold_uncertainty_score":0.024333715},"labels":[],"label_agreement":null},{"id":"W4289456735","doi":"10.3390/en15103760","title":"Energy Transition Pathways for Deep Decarbonization of the Greater Montreal Region: An Energy Optimization Framework","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fossil fuel; Primary energy; Greenhouse gas; Population; Environmental science; Efficient energy use; Environmental engineering; Natural resource economics; Environmental economics; Electricity; Engineering; Waste management; Economics","score_opus":0.00766149647609171,"score_gpt":0.16881131989399561,"score_spread":0.1611498234179039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289456735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36845484,0.003969205,0.4405968,0.0071537257,0.00024693547,0.00057932525,0.006495475,0.0005617841,0.17194182],"genre_scores_gemma":[0.94817173,0.00093445793,0.034945812,0.00030920983,0.00003768093,0.0002924172,0.0009180166,0.00008580733,0.01430496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997918,0.00008176654,0.0000034813884,0.000032792803,0.000024136742,0.00006598615],"domain_scores_gemma":[0.999739,0.00009731864,0.000029676206,0.00001134637,0.000065046675,0.000057638164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160628,0.0010788641,0.00065053033,0.0007433663,0.00082661124,0.0019698958,0.0014713864,0.0014349718,0.0067632683],"category_scores_gemma":[0.001075137,0.0006317147,0.0010463414,0.0007768654,0.0008513745,0.0010872186,0.0013708619,0.0010743845,0.0002442035],"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":[0.000009733361,0.000009760663,0.00041837944,0.000012540316,0.000011431488,0.00003638738,0.000010842662,0.99040866,0.00010525222,0.007563929,0.00046154964,0.0009516212],"study_design_scores_gemma":[0.000012247421,0.00001342229,0.0004876071,0.000010822369,0.000013276256,0.0000067596056,0.000049047132,0.9926125,0.00006172328,0.0048680073,0.0018557655,0.000008799472],"about_ca_topic_score_codex":0.3316457,"about_ca_topic_score_gemma":0.3215751,"teacher_disagreement_score":0.6683543,"about_ca_system_score_codex":0.005674391,"about_ca_system_score_gemma":0.0061704363,"threshold_uncertainty_score":0.6594306},"labels":[],"label_agreement":null},{"id":"W4289994904","doi":"10.3390/en15155657","title":"Borehole Protection Technology of Screen Pipes for Gas Drainage Boreholes in Soft Coal Seams","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"China Postdoctoral Science Foundation; Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Borehole; Coal mining; Drainage; Geotechnical engineering; Geology; Petroleum engineering; Coal; Engineering; Waste management","score_opus":0.011310537321561592,"score_gpt":0.1952943745423901,"score_spread":0.1839838372208285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289994904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255145,0.0006645406,0.07208176,0.0000935303,0.000030251309,0.000058552545,0.00005650653,0.00041442062,0.0010859808],"genre_scores_gemma":[0.9899997,0.0002338365,0.008905443,0.000017728025,0.0000047514804,0.000014724912,0.000027129687,0.000014191363,0.00078245567],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999777,0.000024572375,0.000012082144,0.000045184872,0.00011289912,0.000028333276],"domain_scores_gemma":[0.99969864,0.00005893369,0.000095136325,0.000033561377,0.00008985371,0.000023995712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020091851,0.00032778454,0.00024137569,0.00039626248,0.00023802802,0.0002588755,0.00041530075,0.00031482038,0.0006303699],"category_scores_gemma":[0.0004745857,0.00021377666,0.00026080487,0.00019151912,0.00029619702,0.00078562327,0.00038301546,0.000260488,0.00013830933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016261135,0.00003409813,0.0056318473,0.00023285892,0.000010187449,0.00032671812,0.00028597785,0.001639448,0.96228355,0.00022048448,0.00013802949,0.029034171],"study_design_scores_gemma":[0.000027154925,0.0009150465,0.035474535,0.000031530017,0.000053272222,0.00095370127,0.00037798515,0.013558578,0.9438602,0.00021325094,0.004491258,0.00004353446],"about_ca_topic_score_codex":0.0009870563,"about_ca_topic_score_gemma":0.0016632321,"teacher_disagreement_score":0.0009870563,"about_ca_system_score_codex":0.0001804217,"about_ca_system_score_gemma":0.0003027808,"threshold_uncertainty_score":0.0021088123},"labels":[],"label_agreement":null},{"id":"W4289997111","doi":"10.3390/en15155662","title":"Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anode; State of charge; Battery (electricity); Battery pack; Lithium-ion battery; Electrical engineering; Electrode; Materials science; Computer science; Control theory (sociology); Engineering; Chemistry; Physics","score_opus":0.027159673519655935,"score_gpt":0.2612787882158406,"score_spread":0.23411911469618468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289997111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055353798,0.0004127009,0.940833,0.00009559213,0.000071998,0.000052825533,0.000037678146,0.00085913046,0.0022833226],"genre_scores_gemma":[0.9772076,0.00023496486,0.020676322,0.000035459165,0.000021294145,0.00008318943,0.00007025464,0.000013021717,0.0016578917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967575,0.000038978134,0.000028313767,0.00010900311,0.000116592026,0.000031391097],"domain_scores_gemma":[0.9996044,0.000094345036,0.000083879975,0.000051615534,0.00015120558,0.000014565357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031315812,0.0005999966,0.0006763783,0.00024885,0.0002739376,0.0009063515,0.00070479745,0.0005598795,0.0006319252],"category_scores_gemma":[0.0010151535,0.00022247659,0.0004075061,0.0002295901,0.00039711883,0.00086537475,0.0005952204,0.00067210523,0.00021956785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047579396,0.00015851377,0.0053051985,0.0005772003,0.00012257315,0.0003615046,0.00049149507,0.6724198,0.08311431,0.0056663547,0.0016752015,0.22963205],"study_design_scores_gemma":[0.000009722192,0.000083990846,0.00079351396,0.000009497801,0.00001539471,0.000024024752,0.000014051573,0.99039066,0.0074532577,0.000522409,0.0006704935,0.00001292646],"about_ca_topic_score_codex":0.0043068943,"about_ca_topic_score_gemma":0.002611547,"teacher_disagreement_score":0.0043068943,"about_ca_system_score_codex":0.0005485537,"about_ca_system_score_gemma":0.00048632466,"threshold_uncertainty_score":0.008563638},"labels":[],"label_agreement":null},{"id":"W4290999865","doi":"10.3390/en15165840","title":"Karlovitz Numbers and Premixed Turbulent Combustion Regimes for Complex-Chemistry Flames","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office National d'études et de Recherches Aérospatiales; Ministry of Science and Higher Education of the Russian Federation; Canada Excellence Research Chairs, Government of Canada","keywords":"Laminar flow; Combustion; Turbulence; Eddy; Flame structure; Mechanics; Premixed flame; Intermittency; Chemistry; Geology; Physics; Combustor; Physical chemistry","score_opus":0.009231867496818655,"score_gpt":0.20101570267679186,"score_spread":0.19178383517997322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290999865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92939526,0.0017643356,0.060124345,0.00012154658,0.00003172816,0.000036819245,0.00017738686,0.0001683373,0.008180355],"genre_scores_gemma":[0.9942287,0.00029204926,0.00490952,0.0000057030857,0.000006822134,0.0000110043875,0.00004964659,0.000023909592,0.0004725268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990666,0.000021437496,0.000006841597,0.000018900075,0.0000264073,0.000019772495],"domain_scores_gemma":[0.999481,0.00023531576,0.00017631717,0.000030494828,0.00002872351,0.000048083475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041857458,0.00058452203,0.00023558104,0.001144951,0.00035137177,0.000999087,0.00033075886,0.00029731856,0.0006216075],"category_scores_gemma":[0.0015230769,0.00017272038,0.00037830253,0.00045805806,0.001166729,0.0010950962,0.0007423466,0.0005069538,0.00010802515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027891976,0.00007129727,0.011735331,0.0002419962,0.0000458341,0.00018957599,0.00036316778,0.7895217,0.036039796,0.1515176,0.000228504,0.009766255],"study_design_scores_gemma":[0.00003744025,0.00008927351,0.0112352045,0.00004929771,0.000019890625,0.00009505056,0.00014783368,0.8937047,0.017721578,0.075482614,0.0013326227,0.0000845198],"about_ca_topic_score_codex":0.0013152387,"about_ca_topic_score_gemma":0.0007049856,"teacher_disagreement_score":0.0013152387,"about_ca_system_score_codex":0.00063931843,"about_ca_system_score_gemma":0.00030268412,"threshold_uncertainty_score":0.0046386123},"labels":[],"label_agreement":null},{"id":"W4291173980","doi":"10.3390/en15165812","title":"Residents’ Attitudes and Social Innovation Management in the Example of a Municipal Property Manager","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Test (biology); Property management; Business; Order (exchange); Kruskal–Wallis one-way analysis of variance; Property (philosophy); Questionnaire; Psychology; Public relations; Operations management; Management; Marketing; Sociology; Political science; Engineering; Mann–Whitney U test; Economics; Social science; Medicine; Geography; Finance","score_opus":0.09188876515268361,"score_gpt":0.3110819690295042,"score_spread":0.21919320387682056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291173980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984401,0.000031643576,0.000039576396,0.00026475673,0.0000028694567,0.0000021201472,0.0000015148022,5.7294255e-7,0.0012169521],"genre_scores_gemma":[0.99942625,0.000052411368,0.000033007393,0.000056122153,0.0000030049634,0.0000022461215,0.0000015978962,3.135388e-7,0.00042523045],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99874157,0.000777121,0.000035743167,0.000056720834,0.00017412462,0.00021472627],"domain_scores_gemma":[0.9981183,0.0007111747,0.0005061316,0.000062375984,0.00022363725,0.0003783037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017465474,0.000101023914,0.00010260417,0.00044068357,0.0018313829,0.0015588165,0.00022314832,0.00057695835,0.0017426984],"category_scores_gemma":[0.0034396285,0.000099455276,0.00017089803,0.0003226739,0.0018369412,0.0007038819,0.0011099407,0.0006948002,0.00012222702],"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":[0.000088915534,0.0005902622,0.34771073,0.000107407475,0.000035625093,0.0023514323,0.61407954,0.0001919387,0.0022307981,0.0029856388,0.0010926748,0.02853501],"study_design_scores_gemma":[0.0000049574764,0.0002906911,0.20946519,0.000058414385,0.000019925048,0.0005892264,0.7810748,0.00021191555,0.00047678093,0.0003815957,0.007401727,0.000024687826],"about_ca_topic_score_codex":0.0071061277,"about_ca_topic_score_gemma":0.01622636,"teacher_disagreement_score":0.0071061277,"about_ca_system_score_codex":0.00092206243,"about_ca_system_score_gemma":0.0010514716,"threshold_uncertainty_score":0.014129519},"labels":[],"label_agreement":null},{"id":"W4291393205","doi":"10.3390/en15165874","title":"An Exponential Solvent Chamber Geometry for Modeling the VAPEX Process","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Process Optimization and Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Exponential function; Mechanics; Process (computing); Exponential decay; Materials science; Solvent; Mathematics; Physics; Chemistry; Mathematical analysis; Computer science; Nuclear physics","score_opus":0.014257678344242946,"score_gpt":0.2454357925507029,"score_spread":0.23117811420645998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291393205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1432352,0.00070805964,0.83742505,0.00015669392,0.000075274176,0.00015927886,0.0006027223,0.00053315796,0.017104521],"genre_scores_gemma":[0.92435414,0.000841164,0.067455485,0.000041860563,0.000016346077,0.0002406078,0.00033311048,0.000065623564,0.0066517475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998079,0.00003289365,0.000010331886,0.000052185398,0.000068569665,0.000028207138],"domain_scores_gemma":[0.99982256,0.00006530485,0.000033727036,0.000020552767,0.000049633672,0.000008271221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027107864,0.00055930804,0.00034433545,0.0003060271,0.00025494516,0.000621484,0.0009104976,0.00088806386,0.0017357392],"category_scores_gemma":[0.00056110905,0.00026497224,0.00052055944,0.00034527737,0.00031059215,0.0005644342,0.00040508364,0.00047669763,0.00046536053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063300664,0.000032222957,0.0009408226,0.00008759159,0.000008444896,0.00020732937,0.000054040083,0.9493427,0.033523455,0.0072360854,0.00035949642,0.008144499],"study_design_scores_gemma":[0.0000046299165,0.000029610323,0.00022189323,0.0000041451003,0.000005081507,0.000041593936,0.0000103468465,0.9913447,0.0066701495,0.00035606488,0.0013039394,0.00000787287],"about_ca_topic_score_codex":0.00363575,"about_ca_topic_score_gemma":0.0024012374,"teacher_disagreement_score":0.00363575,"about_ca_system_score_codex":0.00057643367,"about_ca_system_score_gemma":0.0007368069,"threshold_uncertainty_score":0.007229209},"labels":[],"label_agreement":null},{"id":"W4292163989","doi":"10.3390/en15165953","title":"Analysis of the Dynamic Relationships among Renewable Energy Consumption, Economic Growth, Financial Development, and Carbon Dioxide Emission in Five Sub-Saharan African Countries","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"York University","funders":"Social Sciences and Humanities Research Council of Canada; York University","keywords":"Variance decomposition of forecast errors; Economics; Unit root; Econometrics; Ordinary least squares; Unit root test; Renewable energy; Kuznets curve; Causality (physics); Short run; Energy consumption; Cointegration; Consumption (sociology); Macroeconomics; Engineering","score_opus":0.012424460617460433,"score_gpt":0.1791236894439529,"score_spread":0.16669922882649246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292163989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829715,0.00020948892,0.00029567955,0.000062082094,0.0000034073428,0.0000050007184,0.00064314407,0.0000036423771,0.00048029108],"genre_scores_gemma":[0.9977464,0.00029684458,0.00032566013,0.000012612772,0.0000043916657,0.000010764401,0.0013308243,0.0000010510828,0.00027144092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976224,0.000104533334,0.000021291746,0.00003069285,0.000028044085,0.00005318636],"domain_scores_gemma":[0.99884206,0.00060844043,0.0003275851,0.00004343331,0.00011723774,0.00006121995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008378018,0.00024494104,0.00027581427,0.0013269256,0.0002544561,0.0006856256,0.0001469061,0.00023297897,0.0011978374],"category_scores_gemma":[0.0020739567,0.00015663441,0.0003889589,0.0024747704,0.00020108046,0.00046482496,0.00044010993,0.00033989784,0.00012840379],"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":[0.000062516025,0.000043679567,0.9856872,0.000040243955,0.00021659001,0.0002491032,0.0002512227,0.004459884,0.00030427382,0.00081423245,0.00026277918,0.007608316],"study_design_scores_gemma":[0.0000042383426,0.000065971675,0.9875278,0.000027136193,0.000109272856,0.000088602734,0.0014764201,0.0084178895,0.00042214125,0.0002253194,0.0016246632,0.0000104862775],"about_ca_topic_score_codex":0.015668208,"about_ca_topic_score_gemma":0.017354177,"teacher_disagreement_score":0.015668208,"about_ca_system_score_codex":0.00041080295,"about_ca_system_score_gemma":0.0004753753,"threshold_uncertainty_score":0.031154037},"labels":[],"label_agreement":null},{"id":"W4293008303","doi":"10.3390/en15176141","title":"A Novel Tripod Methodology of Scrutinizing Two-Phase Fluid Snap-Off in Low Permeability Formations from the Microscopic Perspective","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Capillary action; Surface tension; Carbon dioxide; Relative permeability; Mechanics; Fluid dynamics; Bubble; Permeability (electromagnetism); Tapering; Capillary pressure; Porous medium; Chemistry; Greenhouse gas; Viscous fingering; Petroleum engineering; Materials science; Chemical engineering; Porosity; Thermodynamics; Composite material; Geology; Membrane; Engineering; Physics","score_opus":0.033345754617336645,"score_gpt":0.31615614133142345,"score_spread":0.2828103867140868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293008303","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":[0.49371752,0.00089958677,0.49770012,0.000108294196,0.00011026625,0.00020026616,0.00043182573,0.0008407856,0.0059913914],"genre_scores_gemma":[0.8090307,0.00066877744,0.186397,0.00009440159,0.00002051688,0.00032952506,0.00024395196,0.00007744068,0.0031376267],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998216,0.000014223608,0.000008817146,0.000063030406,0.000067925655,0.000024386587],"domain_scores_gemma":[0.9997731,0.000054581426,0.00005704841,0.00005174915,0.000041277108,0.000022231554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001819501,0.00027775991,0.00023893184,0.0005469574,0.00029970318,0.00040483117,0.00057160296,0.000401061,0.0016101366],"category_scores_gemma":[0.00030679363,0.00019923365,0.00018963909,0.0002932294,0.00052727206,0.0005906865,0.00058758806,0.0005267848,0.0002721113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006337271,0.000045227844,0.00087810186,0.00013079912,0.0000068360255,0.0001610877,0.00011897441,0.0012502949,0.97971034,0.0035993846,0.00010014007,0.013935336],"study_design_scores_gemma":[0.000014619828,0.00032244428,0.002138862,0.000013812053,0.000016585089,0.00042332028,0.00016825885,0.049379505,0.94026744,0.0014977852,0.0057224045,0.000034927485],"about_ca_topic_score_codex":0.0006565208,"about_ca_topic_score_gemma":0.0006928846,"teacher_disagreement_score":0.0016101366,"about_ca_system_score_codex":0.0003400761,"about_ca_system_score_gemma":0.00036836692,"threshold_uncertainty_score":0.005386412},"labels":[],"label_agreement":null},{"id":"W4293009556","doi":"10.3390/en15176140","title":"Edge Computing for IoT-Enabled Smart Grid: The Future of Energy","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Smart grid; Computer science; Electricity; Grid; Telecommunications; Electrical engineering; Systems engineering; Engineering","score_opus":0.005054300197603609,"score_gpt":0.1893674899611461,"score_spread":0.1843131897635425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293009556","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018502017,0.53070027,0.23895265,0.0506957,0.009602666,0.00012673161,0.00039794733,0.0014551139,0.14956693],"genre_scores_gemma":[0.2643902,0.5859377,0.09550843,0.00883473,0.0066412017,0.00013458909,0.0007457083,0.00032388137,0.037483536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997546,0.000050250965,0.000012877706,0.00003467612,0.000110704525,0.000036912053],"domain_scores_gemma":[0.9997008,0.00011588504,0.000017365002,0.000030542225,0.000092639624,0.00004285674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003874606,0.00035544808,0.00038283205,0.0006346064,0.0005540887,0.0021352903,0.0006724006,0.0011082867,0.00399559],"category_scores_gemma":[0.0006725367,0.000165262,0.00026175124,0.0019451791,0.0007905162,0.005085221,0.0009630137,0.0017194124,0.0012651224],"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":[0.00007234682,0.000045205834,0.0008312988,0.0010366976,0.000020660453,0.00025175948,0.00023964111,0.0060989745,0.003941641,0.46095428,0.07361314,0.45289436],"study_design_scores_gemma":[0.000008270589,0.00006988604,0.0004994432,0.0004924741,0.000020282212,0.00044383414,0.00034266015,0.026862074,0.001983297,0.23178627,0.73745,0.00004152418],"about_ca_topic_score_codex":0.00059672876,"about_ca_topic_score_gemma":0.0008643648,"teacher_disagreement_score":0.00399559,"about_ca_system_score_codex":0.00055265217,"about_ca_system_score_gemma":0.0006601473,"threshold_uncertainty_score":0.01336658},"labels":[],"label_agreement":null},{"id":"W4293100756","doi":"10.3390/en15062273","title":"A Deep Learning Method Based on Bidirectional WaveNet for Voltage Sag State Estimation via Limited Monitors in Power System","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Voltage sag; Benchmark (surveying); Voltage; Convergence (economics); Computer science; Power (physics); State (computer science); Range (aeronautics); Electric power system; Engineering; Electronic engineering; Control theory (sociology); Power quality; Algorithm; Artificial intelligence; Electrical engineering","score_opus":0.012923231722876653,"score_gpt":0.24706727401240233,"score_spread":0.23414404228952568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293100756","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022232432,0.00019985958,0.97567993,0.0000939621,0.00003171637,0.00002076419,0.000050989984,0.0006038288,0.001086621],"genre_scores_gemma":[0.86757123,0.00031213544,0.12694052,0.00009494932,0.000030621657,0.000077251134,0.00026531852,0.000071493465,0.0046365135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999853,0.000023449531,0.000012389154,0.000038394217,0.000049713537,0.000023043001],"domain_scores_gemma":[0.9998147,0.00005565172,0.000034775207,0.000022284763,0.00006215548,0.0000104825385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169236,0.0006272266,0.00044603806,0.00039903558,0.00021146575,0.0004978988,0.00075191224,0.0004799922,0.0012867765],"category_scores_gemma":[0.0008855796,0.00032726026,0.00040020703,0.00046832452,0.00023916547,0.00093680085,0.0006309274,0.0008803004,0.00023997178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105761435,0.000057219557,0.0019382832,0.00006385239,0.000045876466,0.00008596917,0.000058215825,0.7303086,0.006820805,0.003936949,0.001166392,0.25541207],"study_design_scores_gemma":[0.0000017846534,0.000011458138,0.00012463477,0.0000025026816,0.0000029592525,0.0000076212955,0.0000025884813,0.99846184,0.00070982357,0.0005024036,0.00016985765,0.0000025582954],"about_ca_topic_score_codex":0.0075575667,"about_ca_topic_score_gemma":0.008063452,"teacher_disagreement_score":0.0075575667,"about_ca_system_score_codex":0.0003545523,"about_ca_system_score_gemma":0.00066805776,"threshold_uncertainty_score":0.015027165},"labels":[],"label_agreement":null},{"id":"W4293101252","doi":"10.3390/en15062275","title":"Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Context (archaeology); Quality (philosophy); Plan (archaeology); Computer science; Resource (disambiguation); Power (physics); Operations research; Engineering","score_opus":0.04489174026248697,"score_gpt":0.2869035798265288,"score_spread":0.24201183956404185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293101252","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":[0.0002246339,0.99673295,0.00092114205,0.00018043492,0.00011439188,0.000010430613,0.0000340568,0.000010905489,0.0017711051],"genre_scores_gemma":[0.001606013,0.9970361,0.00082634564,0.00006270764,0.00009680676,0.000008211352,0.00004071667,0.0000032798441,0.00031985698],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961805,0.00007071189,0.00006267487,0.00006108852,0.00016218962,0.00002525247],"domain_scores_gemma":[0.99845684,0.00092886266,0.00016952376,0.000036250924,0.00036938232,0.000039239832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009889671,0.0010937408,0.0012834625,0.0032061767,0.00030349175,0.0013434062,0.00097268895,0.0010296837,0.0036629844],"category_scores_gemma":[0.002000085,0.0005319957,0.0008201485,0.0050926595,0.00033181344,0.0017357037,0.00056844397,0.0009179014,0.0012214239],"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":[0.000038356357,0.00008543304,0.00031146183,0.05419054,0.00017427691,0.00018222204,0.000115753945,0.0039210366,0.0009334124,0.009359913,0.0192134,0.9114741],"study_design_scores_gemma":[0.000011750601,0.0001497453,0.0013448935,0.022590613,0.000459095,0.0008136121,0.00015545156,0.0011335462,0.000748092,0.00493888,0.96760434,0.000049878534],"about_ca_topic_score_codex":0.002909824,"about_ca_topic_score_gemma":0.003992494,"teacher_disagreement_score":0.0036629844,"about_ca_system_score_codex":0.0006269457,"about_ca_system_score_gemma":0.0022704925,"threshold_uncertainty_score":0.0122538805},"labels":[],"label_agreement":null},{"id":"W4293104185","doi":"10.3390/en15176192","title":"Oil Prices and the Hydrocarbon Markets: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Hydrocarbon; Economics; Crude oil; Supply and demand; Oil price; Natural gas; Fossil fuel; Petroleum; Oil supply; Demand shock; Crack spread; Monetary economics; Petroleum engineering; Microeconomics; Chemistry; Geology; Paleontology","score_opus":0.0390101455942984,"score_gpt":0.25359455688937566,"score_spread":0.21458441129507727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293104185","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":[0.00019151322,0.99869895,0.00007878703,0.0001918437,0.00007136044,0.000002630257,0.00002662225,0.0000030328229,0.0007352396],"genre_scores_gemma":[0.0008266443,0.99879336,0.000066419096,0.00006286502,0.0000871477,0.0000024632,0.000021615955,5.8214823e-7,0.00013882828],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998097,0.000037895472,0.00003549434,0.000036598496,0.00006399158,0.000016288133],"domain_scores_gemma":[0.9990715,0.00059911644,0.00013751505,0.00001629389,0.0001413999,0.00003418802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051501405,0.0008991654,0.0011194887,0.0032480499,0.00027479872,0.0012112084,0.0006624625,0.0009800531,0.004620121],"category_scores_gemma":[0.0016490457,0.0003539412,0.000621325,0.0056008426,0.0003604225,0.0016963546,0.0005683673,0.0008588392,0.0011661047],"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":[0.000099304656,0.000100380596,0.0011222197,0.05753075,0.0002257616,0.00029332028,0.00012326811,0.0011513331,0.00065637747,0.00882501,0.025108013,0.9047642],"study_design_scores_gemma":[0.000018865965,0.00013550231,0.0055037457,0.028841326,0.000462509,0.0011832678,0.00019591596,0.00032369973,0.00041711703,0.006957854,0.95591444,0.000045741555],"about_ca_topic_score_codex":0.002503456,"about_ca_topic_score_gemma":0.0033271478,"teacher_disagreement_score":0.004620121,"about_ca_system_score_codex":0.0006163729,"about_ca_system_score_gemma":0.0018973633,"threshold_uncertainty_score":0.015455902},"labels":[],"label_agreement":null},{"id":"W4293157143","doi":"10.3390/en15166070","title":"Tail Dependency and Risk Spillover between Oil Market and Chinese Sectoral Stock Markets—An Assessment of the 2013 Refined Oil Pricing Reform","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"National Natural Science Foundation of China","keywords":"Spillover effect; Downside risk; Stock market; Economics; Stock (firearms); Tail dependence; Financial economics; Portfolio; China; Monetary economics; Business; Macroeconomics","score_opus":0.012752611615975759,"score_gpt":0.24104579777627907,"score_spread":0.2282931861603033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293157143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908117,0.00040410092,0.0011276808,0.00077556266,0.000012558419,0.000022655935,0.00019630682,0.00001553354,0.0066339765],"genre_scores_gemma":[0.998618,0.00027745866,0.00015898638,0.00005624215,0.000016299795,0.0000041256103,0.00014782505,0.0000020113794,0.00071897946],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959594,0.000058658887,0.00003140473,0.000059662976,0.00018016504,0.000074069794],"domain_scores_gemma":[0.9985808,0.00033477895,0.00047809177,0.00010946771,0.00036948948,0.00012744348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198589,0.00021783127,0.00030253927,0.0010473082,0.0003919005,0.0011305995,0.000287375,0.0003455278,0.0019704239],"category_scores_gemma":[0.003010817,0.00016250118,0.0006094252,0.0009708895,0.00053465844,0.0015267222,0.00088939624,0.00057554484,0.00010452484],"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":[0.0002493226,0.00017464266,0.8690782,0.00013202989,0.00030637442,0.0014988973,0.00142519,0.024165891,0.002411953,0.044234842,0.003147325,0.053175278],"study_design_scores_gemma":[0.000014925161,0.000091178656,0.93923473,0.000035270234,0.00016298096,0.000100663725,0.0009045435,0.04759622,0.0014153497,0.007065948,0.0033231247,0.00005493485],"about_ca_topic_score_codex":0.03370214,"about_ca_topic_score_gemma":0.029632978,"teacher_disagreement_score":0.03370214,"about_ca_system_score_codex":0.001809371,"about_ca_system_score_gemma":0.0017047996,"threshold_uncertainty_score":0.06701195},"labels":[],"label_agreement":null},{"id":"W4293235275","doi":"10.3390/en15093072","title":"Application of Slow Pyrolysis to Convert Waste Plastics from a Compost-Reject Stream into Py-Char","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microplastics and Plastic Pollution","field":"Environmental 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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Politechnika Warszawska","keywords":"Char; Pyrolysis; Materials science; Polyethylene; Polypropylene; Polystyrene; Polyolefin; Polyethylene terephthalate; Biochar; Polymer; Chemical engineering; Waste management; Composite material; Organic chemistry; Chemistry","score_opus":0.004134766799987787,"score_gpt":0.18878021908559922,"score_spread":0.18464545228561144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293235275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851857,0.00059552595,0.012680525,0.000036592755,0.00002830753,0.00006155175,0.00012595415,0.00006619365,0.0012196136],"genre_scores_gemma":[0.9853755,0.00070020324,0.012252645,0.000023989145,0.000009091265,0.00003163404,0.00009649351,0.000026777067,0.0014836548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998833,0.000018700799,0.000008678155,0.000026479285,0.00003770805,0.00002516559],"domain_scores_gemma":[0.9998914,0.000030618983,0.000027482956,0.000011965116,0.000022625562,0.000015846095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021297403,0.00040087564,0.00027090474,0.00029638913,0.0001654239,0.0002666456,0.0001581493,0.00017880004,0.000892984],"category_scores_gemma":[0.00020792948,0.00015865723,0.00036141998,0.00029363082,0.00016846182,0.00023379094,0.00026736452,0.00045743954,0.00028405932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001097486,0.000027577997,0.00024721381,0.000075442855,0.000005004989,0.00004106422,0.0000137228735,0.00011897498,0.9960985,0.0000276209,0.000007888557,0.0032272171],"study_design_scores_gemma":[0.000003530598,0.00018159236,0.0008135898,0.000003158015,0.0000060139855,0.000043095864,0.00001391318,0.00039956777,0.9981502,0.00001096898,0.00037182702,0.0000024428186],"about_ca_topic_score_codex":0.0004473943,"about_ca_topic_score_gemma":0.00095336826,"teacher_disagreement_score":0.000892984,"about_ca_system_score_codex":0.00013781172,"about_ca_system_score_gemma":0.00032006323,"threshold_uncertainty_score":0.0029873848},"labels":[],"label_agreement":null},{"id":"W4293238229","doi":"10.3390/en15093199","title":"A New Adsorption Equation for Nano-Porous Shale Rocks and Its Application in Pore Size Distribution Analysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":6,"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":"University of Alberta","keywords":"Oil shale; Adsorption; Porosity; Capillary condensation; Desorption; Materials science; Chemical engineering; Mineralogy; Volume (thermodynamics); Geology; Chemistry; Composite material; Thermodynamics; Physical chemistry; Physics","score_opus":0.010365337575143541,"score_gpt":0.21901665759577987,"score_spread":0.20865132002063633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293238229","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":[0.020137813,0.0014756086,0.9752077,0.00017139762,0.00007323958,0.0001299143,0.0003744152,0.00052902795,0.0019008943],"genre_scores_gemma":[0.40888104,0.0042356253,0.57450676,0.0003913596,0.00008762303,0.0009661416,0.00087964506,0.00037019185,0.009681552],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989428,0.0000997526,0.00011267289,0.0002463839,0.00051720743,0.00008129505],"domain_scores_gemma":[0.9990408,0.00040722778,0.00008226933,0.00007438825,0.00037974946,0.00001544669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301323,0.00070013304,0.0006764141,0.0016548984,0.0003469945,0.0006515929,0.0014514192,0.0010452135,0.0012393503],"category_scores_gemma":[0.002340912,0.00044561457,0.001123816,0.0015099404,0.0005163951,0.0027031614,0.0006760848,0.0012924906,0.00072081917],"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":[0.00011691638,0.00023728628,0.0087518105,0.0016140091,0.00018274493,0.0006717597,0.00059742015,0.23007682,0.4414439,0.12721784,0.0055410187,0.18354851],"study_design_scores_gemma":[0.000008746459,0.000026389156,0.0016598322,0.000015321306,0.00002600725,0.00020844278,0.000033465,0.95168334,0.03204628,0.0066559487,0.007590476,0.00004572815],"about_ca_topic_score_codex":0.0047100955,"about_ca_topic_score_gemma":0.0043996763,"teacher_disagreement_score":0.0047100955,"about_ca_system_score_codex":0.0007817314,"about_ca_system_score_gemma":0.0011130468,"threshold_uncertainty_score":0.00936538},"labels":[],"label_agreement":null},{"id":"W4293238329","doi":"10.3390/en15093179","title":"Impact of the COVID-19 Pandemic on Biomass Supply Chains: The Case of the Canadian Wood Pellet Industry","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Pandemic; Business; Supply chain; Agricultural economics; Pellet; Production (economics); Coronavirus disease 2019 (COVID-19); Wood industry; Economic impact analysis; Supply and demand; Biomass (ecology); Economics; Geography; Forestry; Marketing","score_opus":0.03535316423092806,"score_gpt":0.27192085275812955,"score_spread":0.2365676885272015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293238329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84238905,0.0018395771,0.001141197,0.018240733,0.00009864071,0.00017757886,0.0006926395,0.000039891598,0.13538058],"genre_scores_gemma":[0.9877038,0.001344427,0.0007219805,0.001317286,0.000021546484,0.00001707985,0.00024161003,0.000012387981,0.008619892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824417,0.0002038514,0.00002437355,0.000083056824,0.00039530292,0.0010492395],"domain_scores_gemma":[0.99767286,0.00034398804,0.00017547212,0.00006624418,0.0010339102,0.00070756616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013984372,0.0005314286,0.00024748547,0.00130571,0.014105541,0.004652049,0.0012292853,0.0024229402,0.0055812644],"category_scores_gemma":[0.002749397,0.00027810148,0.0005739532,0.002502092,0.003152906,0.0017552351,0.0025573692,0.0020941643,0.00035574575],"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":[0.000920142,0.00060858345,0.4157791,0.0009461065,0.00026448682,0.06228191,0.11963113,0.04502761,0.0110341795,0.15066366,0.07993098,0.11291214],"study_design_scores_gemma":[0.00010841981,0.00029226247,0.23279569,0.00067872816,0.00019729926,0.002736476,0.4439766,0.027390642,0.0020106877,0.011510298,0.27795064,0.00035228024],"about_ca_topic_score_codex":0.9833145,"about_ca_topic_score_gemma":0.9889705,"teacher_disagreement_score":0.058687426,"about_ca_system_score_codex":0.058687426,"about_ca_system_score_gemma":0.05106984,"threshold_uncertainty_score":0.4258091},"labels":[],"label_agreement":null},{"id":"W4293238676","doi":"10.3390/en15093223","title":"Multiscale Full-Waveform Inversion with Land Seismic Field Data: A Case Study from the Jizhong Depression, Middle Eastern China","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Geology; Seismology; Inversion (geology); Geothermal gradient; Seismogram; Offset (computer science); Borehole; Algorithm; Geodesy; Geophysics; Computer science; Tectonics; Geotechnical engineering","score_opus":0.026251741439065144,"score_gpt":0.21996383709774087,"score_spread":0.19371209565867573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293238676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973821,0.000021494205,0.0019582657,0.000045275763,0.0000024065814,0.0000121573785,0.0001449116,0.00005501808,0.00037836152],"genre_scores_gemma":[0.9967783,0.000025402052,0.0026716269,0.0000068108907,0.0000027224253,0.000005066756,0.0002902388,0.000008248908,0.00021157932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999114,0.000014213915,0.0000061931405,0.000021697188,0.000022545071,0.000023901483],"domain_scores_gemma":[0.9998253,0.00005249869,0.000024275576,0.000027624845,0.000048223817,0.000021997577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003185339,0.0004773196,0.00024822037,0.0007356983,0.00027805084,0.0003603349,0.0006651091,0.0005018641,0.00054009806],"category_scores_gemma":[0.0007223925,0.00020418133,0.00036399777,0.0009192085,0.00037039278,0.0003843901,0.00033157057,0.00023127017,0.00009300233],"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":[0.0005425022,0.0010869063,0.2509317,0.0002571331,0.00021619031,0.010399434,0.0013620132,0.56596303,0.04963213,0.0019306163,0.0018592523,0.11581911],"study_design_scores_gemma":[0.00006325684,0.00009769197,0.11605572,0.000013501336,0.000047789857,0.00018497389,0.00064732175,0.87710613,0.004766781,0.00037231937,0.0006122577,0.000032249016],"about_ca_topic_score_codex":0.07675283,"about_ca_topic_score_gemma":0.0895504,"teacher_disagreement_score":0.07675283,"about_ca_system_score_codex":0.0006292663,"about_ca_system_score_gemma":0.00081007264,"threshold_uncertainty_score":0.15261221},"labels":[],"label_agreement":null},{"id":"W4293420954","doi":"10.3390/en15176211","title":"Investigations of Vertical-Axis Wind-Turbine Group Synergy Using an Actuator Line Model","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbine; Vertical axis wind turbine; Wind power; Computer science; Actuator; Tip-speed ratio; Power (physics); Marine engineering; Turbulence; Computational fluid dynamics; Aerospace engineering; Control theory (sociology); Mechanics; Engineering; Physics; Electrical engineering","score_opus":0.03478947314550391,"score_gpt":0.24639790174561094,"score_spread":0.21160842860010703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293420954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7037958,0.00019339354,0.2723568,0.00017153793,0.00004764845,0.00006892904,0.00031523273,0.00039341213,0.022657348],"genre_scores_gemma":[0.9841607,0.000054651813,0.0139789935,0.000014299601,0.0000073828933,0.000037664875,0.00008475535,0.00003019867,0.0016314035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999902,0.000021440914,0.0000047850176,0.000018387385,0.000035003683,0.000018359999],"domain_scores_gemma":[0.9997409,0.00009456026,0.000057724144,0.000029216173,0.000041807114,0.00003583312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018241582,0.0005222781,0.0004136744,0.00031589164,0.00035393238,0.00043148873,0.0006840139,0.00063916465,0.00199172],"category_scores_gemma":[0.0004588611,0.00024056304,0.00040255734,0.0004056401,0.00037063242,0.00059800385,0.00062169164,0.00042564535,0.00030205108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029849318,0.000038259615,0.0013661883,0.000022648406,0.000010035162,0.00012491648,0.00003587949,0.9868759,0.0059477724,0.0021996319,0.00020485547,0.00314409],"study_design_scores_gemma":[0.0000019891675,0.000015487332,0.00018180176,8.8481414e-7,0.0000011958504,0.000008138291,0.000007700103,0.9992488,0.00028853395,0.0001445837,0.00009907748,0.0000016977717],"about_ca_topic_score_codex":0.003082729,"about_ca_topic_score_gemma":0.0027590757,"teacher_disagreement_score":0.003082729,"about_ca_system_score_codex":0.00025941932,"about_ca_system_score_gemma":0.00043391908,"threshold_uncertainty_score":0.006662965},"labels":[],"label_agreement":null},{"id":"W4293530437","doi":"10.3390/en15176263","title":"A Review of Reliability and Fault Analysis Methods for Heavy Equipment and Their Components Used in Mining","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"North American Construction Group (Canada); University of Alberta","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Scope (computer science); Predictive maintenance; Fault (geology); Computer science; Production (economics); Engineering; Risk analysis (engineering)","score_opus":0.09080296492494415,"score_gpt":0.3835024219373902,"score_spread":0.29269945701244604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293530437","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":[0.00033191987,0.99367476,0.0031099913,0.00026456878,0.0003396029,0.000017446808,0.00009245332,0.000030772742,0.0021385495],"genre_scores_gemma":[0.002119789,0.99275994,0.0031486508,0.00019566738,0.00032087628,0.000022159282,0.00013709783,0.000010790347,0.0012849533],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9993616,0.00009574902,0.0001129224,0.00011660943,0.00028555706,0.000027618722],"domain_scores_gemma":[0.99821895,0.0010975004,0.00016845077,0.000051486073,0.00043142526,0.000032070267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009858124,0.0010924335,0.0011291659,0.0043434314,0.00035293086,0.0008929626,0.0011630158,0.0010795498,0.0043424293],"category_scores_gemma":[0.0023066313,0.00053519843,0.0010395423,0.005047085,0.00046284485,0.0017259908,0.0004451261,0.0010198978,0.0020317992],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004735575,0.00007676926,0.00041966292,0.03702818,0.00013335672,0.00016018379,0.00010264304,0.0014349152,0.002143175,0.0053397655,0.024427047,0.9286869],"study_design_scores_gemma":[0.00000849759,0.00017942478,0.0025530118,0.009993495,0.00032536793,0.0013156977,0.00009689927,0.0011589718,0.0018996733,0.0039860825,0.9784162,0.000066519686],"about_ca_topic_score_codex":0.0022508309,"about_ca_topic_score_gemma":0.0026104094,"teacher_disagreement_score":0.0043434314,"about_ca_system_score_codex":0.00053621095,"about_ca_system_score_gemma":0.0014503325,"threshold_uncertainty_score":0.014526904},"labels":[],"label_agreement":null},{"id":"W4293530473","doi":"10.3390/en15176253","title":"Techniques of Improving Infrastructure and Energy Resilience in Urban Setting","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; University of Calgary","funders":"","keywords":"Resilience (materials science); Unavailability; Vulnerability (computing); Work (physics); Sustainability; Environmental economics; Scale (ratio); Population; Electricity; Energy (signal processing); Business; Civil engineering; Environmental resource management; Computer science; Engineering; Environmental science; Reliability engineering; Geography; Computer security; Economics","score_opus":0.002439694289763077,"score_gpt":0.19188887106242689,"score_spread":0.18944917677266382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293530473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06259959,0.0003348963,0.9238447,0.00036008694,0.000039297476,0.00012555074,0.00007842107,0.00095766556,0.011659844],"genre_scores_gemma":[0.7491149,0.00037884823,0.24678889,0.00006215546,0.00002603,0.00013615638,0.00008860396,0.00010311876,0.003301316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952996,0.0001567253,0.000017494971,0.00008992443,0.00011875676,0.00008706853],"domain_scores_gemma":[0.9991605,0.00033087944,0.00014338801,0.00023369274,0.000093384035,0.00003812256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006512291,0.00069937814,0.00043044589,0.0013854073,0.000731387,0.00069596793,0.0008457603,0.00047828158,0.0031630124],"category_scores_gemma":[0.0019849676,0.0003031508,0.0006904464,0.0010791838,0.00094804436,0.0013282911,0.0021022013,0.00064186746,0.00054054405],"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":[0.00015941868,0.00021008436,0.0053291987,0.00030522453,0.0001115608,0.0006488653,0.0007623026,0.5517592,0.038946077,0.12175469,0.0026997987,0.27731356],"study_design_scores_gemma":[0.00003981553,0.0004244113,0.004725606,0.00010075073,0.00011087328,0.00090337486,0.0011768618,0.8313131,0.04451022,0.09221641,0.024378128,0.00010049011],"about_ca_topic_score_codex":0.0014531921,"about_ca_topic_score_gemma":0.0017606759,"teacher_disagreement_score":0.0031630124,"about_ca_system_score_codex":0.00056078454,"about_ca_system_score_gemma":0.0005573144,"threshold_uncertainty_score":0.010581315},"labels":[],"label_agreement":null},{"id":"W4293530484","doi":"10.3390/en15176220","title":"A Multi-Region CFD Model for Aircraft Ground Deicing by Dispersed Liquid Spray","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computational fluid dynamics; Parametric statistics; Lagrangian particle tracking; Porosity; Mechanics; Context (archaeology); Environmental science; Marine engineering; Computer science; Engineering; Geotechnical engineering; Mathematics; Physics; Geology","score_opus":0.0200413757886867,"score_gpt":0.22216568361893774,"score_spread":0.20212430783025104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293530484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18996333,0.001795869,0.7633962,0.0011762028,0.00025635038,0.00037512975,0.0012060194,0.00068669947,0.04114424],"genre_scores_gemma":[0.91891664,0.0010835503,0.05843549,0.00016663613,0.000066565735,0.0003811005,0.00049415795,0.00017520718,0.020280652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985135,0.000033552198,0.0000095128225,0.00003193742,0.000043339678,0.000030172812],"domain_scores_gemma":[0.9997683,0.00010086102,0.000030406876,0.000012485551,0.000060412447,0.000027585074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003348425,0.0006192385,0.00071558286,0.00049358193,0.0007328375,0.0011525919,0.0010963962,0.0019455225,0.0025929862],"category_scores_gemma":[0.00070307805,0.00047331984,0.0009402793,0.0004617682,0.0006954292,0.0007555435,0.00077588286,0.0008850654,0.00039483598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020941667,0.000014791928,0.00034537248,0.000018522245,0.0000049444466,0.00007578312,0.000030740335,0.9929844,0.001862237,0.0032076477,0.0001732099,0.0012614401],"study_design_scores_gemma":[0.000005913571,0.000006720153,0.00007113391,0.0000029851685,0.0000017546021,0.000010430993,0.000005424301,0.9991105,0.00016828318,0.000249817,0.00036311228,0.000003928052],"about_ca_topic_score_codex":0.027730947,"about_ca_topic_score_gemma":0.009476721,"teacher_disagreement_score":0.027730947,"about_ca_system_score_codex":0.0012220261,"about_ca_system_score_gemma":0.0016286209,"threshold_uncertainty_score":0.055139065},"labels":[],"label_agreement":null},{"id":"W4293790326","doi":"10.3390/en15166005","title":"Synthesis of 3D Nanonetwork Si Structures via Direct Ultrafast Pulsed Nanostructure Formation Technique","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials 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":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Silicon; Nanostructure; Semiconductor; Picosecond; Optoelectronics; Band gap; Ultrashort pulse; Laser; Nanotechnology; Optics","score_opus":0.005261787813000303,"score_gpt":0.2024582709383256,"score_spread":0.1971964831253253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293790326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9183762,0.001620557,0.061067216,0.0001706949,0.00014617165,0.00016710465,0.0010276921,0.00057599146,0.016848328],"genre_scores_gemma":[0.9301217,0.0007970633,0.06514,0.00005232108,0.000010209343,0.00011992484,0.00056171237,0.000050747614,0.003146328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999548,0.0000019270235,0.0000031659579,0.000011881841,0.000020315349,0.0000079444135],"domain_scores_gemma":[0.99995553,0.000007352462,0.000010989595,0.0000074613695,0.000013087908,0.000005626844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065905864,0.00018851754,0.00013296913,0.00014437987,0.00013738844,0.00016460272,0.0002985835,0.00026667104,0.0008846144],"category_scores_gemma":[0.00009885789,0.00023663547,0.0002411992,0.00011162414,0.000099855446,0.00016778515,0.00014519026,0.00031533226,0.0003230673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063486327,0.000009521478,0.00006805391,0.00006330028,0.00000388927,0.00004829018,0.000022458198,0.00053498923,0.9954934,0.00045849732,0.00012855222,0.0031626467],"study_design_scores_gemma":[0.0000073493457,0.00009740466,0.0006986574,0.000007030265,0.000006523304,0.00019147614,0.000015005051,0.006604588,0.98781896,0.00023104185,0.004314959,0.0000071134],"about_ca_topic_score_codex":0.00040726122,"about_ca_topic_score_gemma":0.0019208521,"teacher_disagreement_score":0.0008846144,"about_ca_system_score_codex":0.0002847209,"about_ca_system_score_gemma":0.00017856101,"threshold_uncertainty_score":0.0029593706},"labels":[],"label_agreement":null},{"id":"W4293790359","doi":"10.3390/en15165999","title":"Global Warming Potential of New Gaseous Refrigerants Used in Chillers in HVAC Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":13,"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":"Refrigerant; HVAC; Gas compressor; Environmental science; Refrigeration; Chiller; Air conditioning; Greenhouse gas; Global warming; Atmosphere (unit); Global-warming potential; Process engineering; Engineering; Meteorology; Thermodynamics; Climate change; Mechanical engineering","score_opus":0.0103724680869629,"score_gpt":0.2039061342240397,"score_spread":0.1935336661370768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293790359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97921675,0.0024358176,0.006133496,0.000067311994,0.00003265352,0.00003193667,0.0014653167,0.00012933303,0.010487393],"genre_scores_gemma":[0.9963243,0.00073710026,0.0009884213,0.000011159232,0.000007875122,0.000015891383,0.0007959241,0.000027273076,0.0010921676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997898,0.00003619575,0.000008396793,0.000047390673,0.00008563625,0.000032578493],"domain_scores_gemma":[0.9998559,0.00005871909,0.00001720525,0.000010806023,0.000053117936,0.0000042769943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002681454,0.0006114184,0.00028374724,0.0007514632,0.00023173877,0.0005913596,0.0003061736,0.00047034712,0.0014162733],"category_scores_gemma":[0.0003305319,0.00016229956,0.0008251809,0.00095477677,0.00025534726,0.00062947656,0.00033811317,0.00029076677,0.0002994978],"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":[0.0009624381,0.00015228317,0.0969916,0.0015918653,0.00042047832,0.0016191849,0.00028395216,0.7005799,0.11507902,0.0045114355,0.0013608559,0.07644704],"study_design_scores_gemma":[0.00011165406,0.001240493,0.4662947,0.00023820417,0.0007689779,0.0010190519,0.0010464934,0.27470946,0.21819697,0.0051929806,0.03099687,0.00018421496],"about_ca_topic_score_codex":0.003258589,"about_ca_topic_score_gemma":0.0026862386,"teacher_disagreement_score":0.003258589,"about_ca_system_score_codex":0.00055678125,"about_ca_system_score_gemma":0.00025125936,"threshold_uncertainty_score":0.0064792633},"labels":[],"label_agreement":null},{"id":"W4294162691","doi":"10.3390/en15176352","title":"A Review of Thermochemical Conversion of Waste Biomass to Biofuels","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":227,"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 Saskatchewan","funders":"Agriculture and Agri-Food Canada; BioFuelNet Canada","keywords":"Biofuel; Biomass (ecology); Biochar; Waste management; Raw material; Fossil fuel; Biodiesel; Bioenergy; Torrefaction; Renewable energy; Commercialization; Environmental science; Renewable fuels; Combustion; Lignocellulosic biomass; Renewable resource; Pyrolysis; Engineering; Business; Chemistry; Agronomy","score_opus":0.026212473584512837,"score_gpt":0.26959554631657584,"score_spread":0.243383072732063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294162691","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":[0.00030316992,0.9958812,0.0003178181,0.00017964278,0.00037617685,0.000009104335,0.00007180413,0.000017417977,0.0028436198],"genre_scores_gemma":[0.0008811696,0.9971244,0.00035884403,0.00012478336,0.00014696359,0.000008841897,0.000078253826,0.000003133029,0.0012737034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997502,0.000029174653,0.00004009748,0.00005076856,0.000101797305,0.000028056722],"domain_scores_gemma":[0.9997664,0.00009378902,0.000043887656,0.000010257277,0.00006546068,0.00002026234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038027097,0.0011516326,0.0012181016,0.0030754488,0.00035155102,0.0009992645,0.0007212692,0.0008008586,0.007146645],"category_scores_gemma":[0.00054388604,0.00039288172,0.0007974633,0.0043970854,0.00027834077,0.0014159072,0.0005424993,0.0012655316,0.0031089475],"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":[0.00009113736,0.00014458396,0.0001995251,0.08231029,0.00017172996,0.00035192035,0.00012283945,0.0008984762,0.010137282,0.0073498166,0.05012496,0.84809744],"study_design_scores_gemma":[0.000005030254,0.0000664206,0.00046828834,0.0032360805,0.00008153762,0.00053638476,0.00003235573,0.00006522419,0.0009226484,0.00094149227,0.9936307,0.00001393899],"about_ca_topic_score_codex":0.0009143536,"about_ca_topic_score_gemma":0.0014712834,"teacher_disagreement_score":0.007146645,"about_ca_system_score_codex":0.0005004363,"about_ca_system_score_gemma":0.0011794582,"threshold_uncertainty_score":0.02390796},"labels":[],"label_agreement":null},{"id":"W4294833770","doi":"10.3390/en15176468","title":"An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Relay; Overcurrent; Fault (geology); Unavailability; Electric power system; Fault detection and isolation; Node (physics); Power (physics); Power-system protection; MATLAB; Digital protective relay; Reliability (semiconductor); Real-time computing; Engineering; Fault indicator; Computer science; Protective relay; Reliability engineering; Voltage; Electrical engineering","score_opus":0.0098193108662485,"score_gpt":0.22458035428443104,"score_spread":0.21476104341818256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294833770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023140289,0.00007952524,0.9751159,0.000071806506,0.000014156486,0.000025267153,0.000030540443,0.00015566249,0.0013669002],"genre_scores_gemma":[0.7013955,0.00030448375,0.29377565,0.000050381623,0.000024658657,0.00017170221,0.00016001324,0.00009920811,0.004018409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986196,0.000024525529,0.0000061740348,0.000040004943,0.000039771487,0.000027466453],"domain_scores_gemma":[0.99983394,0.00006183604,0.000030516072,0.000010090193,0.00005457642,0.000008980637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002150632,0.00078579027,0.00051458343,0.00034989795,0.0002443537,0.0005401315,0.00060626236,0.0007312744,0.0015423615],"category_scores_gemma":[0.0007309661,0.0003176096,0.0006055352,0.00029914395,0.00031143127,0.0007071422,0.00041899053,0.00063895783,0.0002460953],"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":[0.000031233772,0.000017606804,0.0003523924,0.000038160546,0.000011974082,0.000055684148,0.000029893738,0.9747501,0.0044946466,0.0029214525,0.00032027974,0.016976578],"study_design_scores_gemma":[0.0000033717013,0.000013732284,0.000051932857,0.0000018170151,0.0000038091557,0.000008645015,0.000007017223,0.9988951,0.00045700543,0.00039648864,0.00015936072,0.0000016603067],"about_ca_topic_score_codex":0.0082115885,"about_ca_topic_score_gemma":0.0051193438,"teacher_disagreement_score":0.0082115885,"about_ca_system_score_codex":0.00049864803,"about_ca_system_score_gemma":0.0011226085,"threshold_uncertainty_score":0.01632756},"labels":[],"label_agreement":null},{"id":"W4294959713","doi":"10.3390/en15176465","title":"Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Microgrid; Sizing; Particle swarm optimization; Fuzzy logic; Scheduling (production processes); Computer science; Mathematical optimization; Engineering; Control theory (sociology); Reliability engineering; Control engineering; Control (management); Operations management; Mathematics","score_opus":0.008190286324121018,"score_gpt":0.19317532500443516,"score_spread":0.18498503868031413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294959713","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":[0.07582435,0.0003707519,0.9131707,0.00013777328,0.000043528154,0.00012313039,0.000066249,0.00039291402,0.009870536],"genre_scores_gemma":[0.925678,0.00014742534,0.07126832,0.00004283302,0.000015317071,0.00012416222,0.00006935096,0.000026765087,0.002627741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998134,0.000036191806,0.000013170068,0.000043548418,0.000060399092,0.000033385524],"domain_scores_gemma":[0.9998253,0.000060247246,0.00004168535,0.000011203679,0.00004619872,0.000015292771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004240919,0.0006413773,0.0007219603,0.00044082451,0.0003342442,0.0009420826,0.0008369532,0.0005997462,0.0014597247],"category_scores_gemma":[0.0005844081,0.00048914255,0.00062818296,0.0003745465,0.0003350686,0.00044218835,0.0004970453,0.00040134825,0.00016494871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042250053,0.000027197428,0.00031914297,0.000053512103,0.00002846892,0.000057758,0.000043673597,0.9744272,0.0027994225,0.0012870008,0.000310086,0.020604296],"study_design_scores_gemma":[0.0000045363413,0.000021797852,0.00011013684,0.0000029749258,0.0000054544494,0.0000063265843,0.000008327867,0.99904186,0.00030930943,0.00032341178,0.00016324896,0.0000025326603],"about_ca_topic_score_codex":0.008338976,"about_ca_topic_score_gemma":0.007966215,"teacher_disagreement_score":0.008338976,"about_ca_system_score_codex":0.0005170479,"about_ca_system_score_gemma":0.00073848624,"threshold_uncertainty_score":0.01658088},"labels":[],"label_agreement":null},{"id":"W4295094509","doi":"10.3390/en15186588","title":"Real-Time Simulation of a Small Modular Reactor in-the-Loop within Nuclear-Renewable Hybrid Energy Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Renewable energy; Cogeneration; Microgrid; Hardware-in-the-loop simulation; Scalability; Flexibility (engineering); Reliability engineering; Nuclear power; Emulation; Computer science; Engineering; Simulation; Electricity generation; Electrical engineering","score_opus":0.008006316955006618,"score_gpt":0.17735755055955205,"score_spread":0.16935123360454543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295094509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8246551,0.00020856618,0.15608646,0.00024396232,0.00011746571,0.00014198961,0.00046656054,0.0012162606,0.016863568],"genre_scores_gemma":[0.9923867,0.00004248059,0.0060934266,0.000014703066,0.0000039551787,0.00005647388,0.00010844892,0.00002193535,0.0012720148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986553,0.000046028705,0.0000053942263,0.0000234722,0.000033342654,0.000026214215],"domain_scores_gemma":[0.99967206,0.00017804906,0.000040045168,0.00002716979,0.00004897624,0.000033690136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030279264,0.00053253706,0.0005688762,0.0002288778,0.00030558452,0.00062135817,0.0006411869,0.0007357264,0.0024765145],"category_scores_gemma":[0.0007291374,0.00018034413,0.00050386484,0.00021615419,0.0004503308,0.00040426062,0.0005072126,0.0006066493,0.0001938182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062196224,0.000028382701,0.00047958526,0.000028226357,0.00000958083,0.00006188589,0.000036181133,0.99576306,0.0016141708,0.00060519774,0.000095676856,0.001215746],"study_design_scores_gemma":[0.000009653087,0.000034267647,0.000118977514,0.0000017660335,0.0000036088327,0.0000043238438,0.000009222291,0.99897087,0.00053508417,0.00013681213,0.000173138,0.0000023297441],"about_ca_topic_score_codex":0.0052370206,"about_ca_topic_score_gemma":0.002882776,"teacher_disagreement_score":0.0052370206,"about_ca_system_score_codex":0.0003928853,"about_ca_system_score_gemma":0.00048489205,"threshold_uncertainty_score":0.010413051},"labels":[],"label_agreement":null},{"id":"W4295206885","doi":"10.3390/en15186578","title":"Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki","keywords":"Quantile regression; Renewable energy; Greening; Panel data; Economics; Regression analysis; Quantile; Public economics; Business; Econometrics; Engineering; Political science; Mathematics; Statistics","score_opus":0.029911036269274764,"score_gpt":0.19845893127965727,"score_spread":0.1685478950103825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295206885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80647385,0.0052335258,0.16222166,0.003062708,0.00027608188,0.00018750198,0.008795245,0.0006311109,0.013118279],"genre_scores_gemma":[0.98525524,0.00094005396,0.006534282,0.00015163109,0.00010394464,0.000077805365,0.0035386812,0.000070599795,0.0033277313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982913,0.0009697077,0.00005036069,0.00027015107,0.00014897634,0.00026945816],"domain_scores_gemma":[0.9959837,0.0029773153,0.00042843499,0.00024651346,0.000249593,0.00011453362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038236768,0.0004068181,0.00077255256,0.001694534,0.00029028454,0.0015657367,0.000906741,0.0008161628,0.0060491185],"category_scores_gemma":[0.0072857654,0.00021547145,0.0013316624,0.0029225315,0.00035652018,0.00072794146,0.0010102672,0.0013782352,0.0008509414],"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":[0.0004207298,0.0005721717,0.40953466,0.00048331489,0.0016058199,0.0011218219,0.0009568284,0.381895,0.0008921379,0.05301531,0.012939632,0.13656269],"study_design_scores_gemma":[0.000047583944,0.00021743144,0.23386107,0.00021253567,0.00028790734,0.00018912548,0.0016907027,0.7177861,0.00085826125,0.027619883,0.017141718,0.000087750435],"about_ca_topic_score_codex":0.019726163,"about_ca_topic_score_gemma":0.0063898554,"teacher_disagreement_score":0.019726163,"about_ca_system_score_codex":0.00065086613,"about_ca_system_score_gemma":0.00054049253,"threshold_uncertainty_score":0.039222658},"labels":[],"label_agreement":null},{"id":"W4295598720","doi":"10.3390/en15186631","title":"Innovation in Green Building Sector for Sustainable Future","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Scope (computer science); Sustainable development; Work (physics); Environmental economics; Business; Sustainability; Productivity; Natural resource; Efficient energy use; Sustainable design; Environmental planning; Environmental resource management; Risk analysis (engineering); Engineering; Computer science; Economics; Economic growth; Environmental science","score_opus":0.009097984293709624,"score_gpt":0.2320797975359635,"score_spread":0.22298181324225388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295598720","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":[0.03483535,0.15555812,0.028288117,0.23811798,0.00453573,0.0002442695,0.00017184136,0.00025129155,0.5379973],"genre_scores_gemma":[0.6361125,0.21627977,0.030209195,0.020491041,0.002377917,0.00026218215,0.00018430165,0.000089302564,0.0939938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970739,0.0010991282,0.00011483188,0.00029158877,0.0008981352,0.0005224054],"domain_scores_gemma":[0.9947239,0.0025969665,0.00047281105,0.00039974155,0.0011348012,0.00067175814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004387737,0.00028034244,0.00032516292,0.0013445998,0.0016287612,0.0065067844,0.00085280434,0.0030248365,0.013982811],"category_scores_gemma":[0.0042533264,0.000107339125,0.00059278484,0.002074099,0.0038326436,0.0069187363,0.0026130688,0.0024654076,0.0021458769],"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":[0.000024709543,0.000073719624,0.0010373632,0.0013382806,0.00001306177,0.00022856155,0.0018638255,0.000614105,0.0010799696,0.7831595,0.020744802,0.18982215],"study_design_scores_gemma":[0.0000086029195,0.00006386575,0.0015658351,0.0022156215,0.00001569489,0.0002353815,0.003781735,0.00065180915,0.001418737,0.2074735,0.78254527,0.00002401049],"about_ca_topic_score_codex":0.0016120265,"about_ca_topic_score_gemma":0.002796324,"teacher_disagreement_score":0.013982811,"about_ca_system_score_codex":0.004484926,"about_ca_system_score_gemma":0.011562497,"threshold_uncertainty_score":0.04677713},"labels":[],"label_agreement":null},{"id":"W4295766676","doi":"10.3390/en15186711","title":"Greenhouse Gas Emissions in the Process of Landfill Disposal in China","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Greenhouse gas; European union; Environmental science; Carbon dioxide equivalent; Municipal solid waste; Per capita; Environmental engineering; Waste management; Landfill gas; Carbon dioxide; China; Environmental protection; Engineering; Business; Geography; International trade; Chemistry","score_opus":0.007182118007235921,"score_gpt":0.23611984374449804,"score_spread":0.22893772573726212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295766676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984577,0.00014956894,0.00028602342,0.000031223553,0.0000017628569,0.000007853168,0.000292031,0.000010188704,0.00076350494],"genre_scores_gemma":[0.99865496,0.00021337288,0.0002454076,0.000010154086,0.0000021734197,0.000007854017,0.0004462667,0.0000032561304,0.00041651353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968374,0.000033627293,0.00003327421,0.00004776057,0.00010621095,0.00009542869],"domain_scores_gemma":[0.99979824,0.000027615562,0.00006774184,0.00001534896,0.00007455719,0.000016484597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066392514,0.00049357745,0.00031629606,0.001954491,0.0005851134,0.00081746175,0.0003248162,0.0002918054,0.00037404016],"category_scores_gemma":[0.00031795498,0.00021427395,0.0008264317,0.0028886017,0.0003612088,0.0006776423,0.00050410524,0.00012275146,0.00007054125],"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":[0.00032595368,0.000110926696,0.9064962,0.00020034194,0.00018516042,0.0012756698,0.00078527123,0.052976575,0.009950952,0.00113338,0.0005257867,0.02603373],"study_design_scores_gemma":[0.00001394625,0.00007874392,0.9584859,0.000028626164,0.0001316575,0.00017128556,0.001026821,0.027087944,0.010488986,0.00069992256,0.0017414137,0.000044736233],"about_ca_topic_score_codex":0.12136518,"about_ca_topic_score_gemma":0.103002764,"teacher_disagreement_score":0.12136518,"about_ca_system_score_codex":0.0028647222,"about_ca_system_score_gemma":0.0018737823,"threshold_uncertainty_score":0.24131751},"labels":[],"label_agreement":null},{"id":"W4295845700","doi":"10.3390/en15186680","title":"Study on the Mechanism of Water Blocking in Tight Sandstone Gas Reservoirs Based on Centrifugal and Nuclear Magnetic Resonance Methods","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Capillary pressure; Porosity; Permeability (electromagnetism); Capillary action; Geology; Water injection (oil production); Fracture (geology); Saturation (graph theory); Porous medium; Petroleum engineering; Materials science; Geotechnical engineering; Composite material; Chemistry","score_opus":0.014996872857480307,"score_gpt":0.24100769761486962,"score_spread":0.22601082475738932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295845700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98201895,0.0009100896,0.01610278,0.00006109111,0.000008186467,0.000018745515,0.000024377985,0.000047080583,0.00080885424],"genre_scores_gemma":[0.9940779,0.0004789257,0.004988898,0.000011261706,0.000004217984,0.000009658092,0.00001624162,0.000004535039,0.00040834918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987686,0.000013206272,0.0000048444635,0.000025562455,0.00005464548,0.00002492752],"domain_scores_gemma":[0.9998379,0.000051178115,0.000055306242,0.000011956685,0.000031419702,0.000012195637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021821396,0.00022752206,0.0001947058,0.0003486877,0.00021797899,0.00013311376,0.00031065996,0.00023066258,0.0003864316],"category_scores_gemma":[0.00026941212,0.00013596346,0.0001468855,0.00029176645,0.00036717104,0.0006513871,0.00021253992,0.00023736624,0.000047672234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001163465,0.000037851867,0.009686156,0.00023123108,0.00001639986,0.00031592493,0.00019612222,0.0023330403,0.9733342,0.00083988736,0.00007267257,0.012820202],"study_design_scores_gemma":[0.000020821608,0.00047478243,0.038807586,0.000021301437,0.00008171581,0.00040505588,0.0004343034,0.08533426,0.87194675,0.0005142094,0.0019055676,0.00005370488],"about_ca_topic_score_codex":0.0031885991,"about_ca_topic_score_gemma":0.0031681815,"teacher_disagreement_score":0.0031885991,"about_ca_system_score_codex":0.00022049363,"about_ca_system_score_gemma":0.00024014435,"threshold_uncertainty_score":0.0063400865},"labels":[],"label_agreement":null},{"id":"W4295845814","doi":"10.3390/en15186676","title":"Sustainability Impact Assessment of Forest Bioenergy Value Chains in Quebec (Canada)—A ToSIA Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Bioenergy; Biomass (ecology); Sustainability; Natural resource economics; Supply chain; Greenhouse gas; Fossil fuel; Business; Environmental science; Biofuel; Agricultural economics; Environmental protection; Economics; Waste management; Engineering; Ecology","score_opus":0.004726568232768401,"score_gpt":0.22494412291108976,"score_spread":0.22021755467832135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295845814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9430246,0.00047915307,0.0051816585,0.0008549512,0.000025853731,0.00025693706,0.0055860067,0.00009984879,0.044491064],"genre_scores_gemma":[0.99262094,0.0002404268,0.0020112738,0.00006934198,0.0000030972499,0.00004643937,0.0013295604,0.000010620193,0.003668297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995591,0.00008171625,0.00000994462,0.000053242333,0.00011816721,0.00017785362],"domain_scores_gemma":[0.9992036,0.000116773605,0.000048076545,0.00002697174,0.0005148678,0.00008969846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096759,0.0006909424,0.00034533732,0.0015519637,0.0014361029,0.0021405395,0.0013077186,0.00067342824,0.0028277726],"category_scores_gemma":[0.0011157055,0.00025221054,0.0010403318,0.002055252,0.0007132687,0.0007259899,0.0006959968,0.00060971826,0.0001409859],"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":[0.00022445989,0.00023153579,0.09681962,0.00012700842,0.00021451639,0.00047084386,0.00014456346,0.86584485,0.0018763442,0.013224772,0.0043013482,0.016520122],"study_design_scores_gemma":[0.000050801675,0.00012660542,0.064954676,0.000064544445,0.00011479931,0.000046028963,0.0014093078,0.9227817,0.00072323414,0.0020342425,0.007628999,0.00006502878],"about_ca_topic_score_codex":0.991463,"about_ca_topic_score_gemma":0.9917176,"teacher_disagreement_score":0.056490757,"about_ca_system_score_codex":0.056490757,"about_ca_system_score_gemma":0.026372997,"threshold_uncertainty_score":0.40987104},"labels":[],"label_agreement":null},{"id":"W4296100674","doi":"10.3390/en15186744","title":"Investigation on Swelling Performance of Oil Sands and Its Impact on Oil Production during SAGD Processes","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Swelling; Distilled water; Materials science; Petroleum engineering; Geotechnical engineering; Steam injection; Mineralogy; Composite material; Geology; Chemistry; Chromatography","score_opus":0.009986887727139312,"score_gpt":0.2055708334464326,"score_spread":0.19558394571929327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296100674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99835396,0.00026178893,0.0007560719,0.000010996988,0.0000032175017,0.000008216108,0.000120534976,0.000015416974,0.00046978172],"genre_scores_gemma":[0.9988564,0.00018994155,0.00047039107,0.000004890761,0.0000013911338,0.0000062211348,0.000091444184,0.0000071852855,0.000372111],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99982387,0.000014411548,0.000014523512,0.000022735814,0.00009292331,0.00003145032],"domain_scores_gemma":[0.9997061,0.00007478951,0.000073497766,0.000015295323,0.00010187751,0.000028342723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021915685,0.00019474443,0.00025464076,0.00047362671,0.00019525089,0.0002480108,0.00013031719,0.00017490853,0.0005654244],"category_scores_gemma":[0.000474134,0.00011790638,0.00019989068,0.00036050036,0.00022078922,0.00041941117,0.00019570194,0.0003021288,0.00012021349],"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":[0.0001459891,0.00002714224,0.006180911,0.00012496831,0.000009025244,0.00023038892,0.0001870785,0.0007883356,0.98568046,0.00005965826,0.000038377762,0.0065277233],"study_design_scores_gemma":[0.0000032732898,0.00027623837,0.03866751,0.0000097759485,0.000019221337,0.00015758123,0.0003078158,0.004477769,0.95527565,0.000039300256,0.0007501458,0.000015677919],"about_ca_topic_score_codex":0.0014857826,"about_ca_topic_score_gemma":0.0028795705,"teacher_disagreement_score":0.99851424,"about_ca_system_score_codex":0.00019325389,"about_ca_system_score_gemma":0.00012457221,"threshold_uncertainty_score":0.0029542446},"labels":[],"label_agreement":null},{"id":"W4296306927","doi":"10.3390/en15186828","title":"Cheese Whey as a Potential Feedstock for Producing Renewable Biofuels: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales; Collège Shawinigan; York University","funders":"","keywords":"Raw material; Biofuel; Bagasse; Environmental science; Pomace; Vinasse; Biotechnology; Bioenergy; Biohydrogen; Waste management; Pulp and paper industry; Business; Food science; Engineering; Chemistry; Biology","score_opus":0.03668245163181156,"score_gpt":0.2891353582598045,"score_spread":0.25245290662799297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296306927","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":[0.00051260507,0.99677485,0.00023021636,0.00014731992,0.00014089522,0.000008579841,0.00006950092,0.000010648316,0.0021054882],"genre_scores_gemma":[0.0013030398,0.9974999,0.00029867524,0.000068898495,0.000046492252,0.0000058748656,0.000069123256,0.000001882184,0.00070618297],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984646,0.000017861272,0.000022247757,0.00003132719,0.0000643454,0.000017660708],"domain_scores_gemma":[0.9997689,0.0000985454,0.00004561378,0.000006946888,0.00006111265,0.000018811988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033073584,0.00092079915,0.0009224363,0.0027008129,0.00025095436,0.00095531944,0.0005194749,0.0007046232,0.0044575287],"category_scores_gemma":[0.00040201723,0.00028318513,0.0005857261,0.003282164,0.00019922739,0.0011037119,0.00042322016,0.0008589791,0.0017044873],"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":[0.000083669096,0.00014722144,0.00033942037,0.067920454,0.00020487115,0.0003366598,0.000097363874,0.00092485093,0.013106066,0.0046769064,0.020209778,0.89195275],"study_design_scores_gemma":[0.000006877812,0.00011467504,0.0008512406,0.0043151304,0.00018885417,0.0005666701,0.00006534498,0.00011708656,0.0017507565,0.0009083693,0.9910964,0.000018588964],"about_ca_topic_score_codex":0.0010994838,"about_ca_topic_score_gemma":0.0022052883,"teacher_disagreement_score":0.0044575287,"about_ca_system_score_codex":0.0003271954,"about_ca_system_score_gemma":0.0010076122,"threshold_uncertainty_score":0.01491195},"labels":[],"label_agreement":null},{"id":"W4296307088","doi":"10.3390/en15186803","title":"Open-Circuit Voltage Models for Battery Management Systems: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Battery (electricity); Voltage; Equivalent circuit; Computer science; Reliability engineering; A priori and a posteriori; Engineering; Power (physics); Electrical engineering","score_opus":0.13733561514085552,"score_gpt":0.351854615166841,"score_spread":0.2145190000259855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296307088","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040639413,0.9877649,0.0065766065,0.00022781888,0.0002560838,0.000043295116,0.00022032749,0.00007006271,0.0044345064],"genre_scores_gemma":[0.004628814,0.9888228,0.0040638368,0.00014442409,0.00017891098,0.000059760332,0.00041185034,0.000023394807,0.001666121],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948514,0.000079741534,0.000082381455,0.00008844725,0.00024081947,0.0000235669],"domain_scores_gemma":[0.9985172,0.00082360377,0.00016825656,0.0000655996,0.0004024093,0.000022832697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094516366,0.0017578196,0.0018828749,0.0037019397,0.00036191614,0.0015575035,0.0026925413,0.0014553561,0.007985256],"category_scores_gemma":[0.0027893719,0.00076848955,0.0014512554,0.0052439705,0.00047318247,0.0029976517,0.0008002544,0.0011997935,0.0045272238],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050663304,0.00009648513,0.0003517613,0.04289631,0.00012646195,0.00015365334,0.000087255285,0.007914693,0.0014553731,0.015293501,0.023604257,0.90796953],"study_design_scores_gemma":[0.000017002407,0.00015749982,0.00080553326,0.012033251,0.00038423407,0.00071268954,0.00011695834,0.005642801,0.0014488484,0.010407319,0.96819043,0.00008344968],"about_ca_topic_score_codex":0.0032052335,"about_ca_topic_score_gemma":0.00329799,"teacher_disagreement_score":0.007985256,"about_ca_system_score_codex":0.0007863906,"about_ca_system_score_gemma":0.0016524643,"threshold_uncertainty_score":0.026713371},"labels":[],"label_agreement":null},{"id":"W4296307097","doi":"10.3390/en15186769","title":"Experimental Characterization of Hydrodynamic Properties of a Deformable Rock Fracture","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Capillary pressure; Permeability (electromagnetism); Relative permeability; Capillary action; Porosity; Geotechnical engineering; Porous medium; Geology; Effective stress; Materials science; Overburden pressure; Fluid dynamics; Fracture (geology); Multiphase flow; Composite material; Mineralogy; Mechanics; Chemistry","score_opus":0.006690928717520072,"score_gpt":0.18161755465860946,"score_spread":0.17492662594108938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296307097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99661463,0.000054355784,0.0027013302,0.000017059252,0.0000036384029,0.0000129645105,0.00017092285,0.00002712557,0.00039788653],"genre_scores_gemma":[0.99701154,0.000049883925,0.002397924,0.000008469836,0.0000022159504,0.000015372447,0.00017536583,0.000007688251,0.0003314692],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998272,0.0000064964843,0.000006774074,0.0000397364,0.00008236228,0.000037400267],"domain_scores_gemma":[0.9998229,0.00003967935,0.000037955902,0.000023143657,0.000050098784,0.000026328746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002090397,0.00018733922,0.00017935174,0.0001810647,0.0003710231,0.00020844041,0.00033218946,0.0003270485,0.0008276823],"category_scores_gemma":[0.0003763174,0.00012505196,0.00014386451,0.00019618825,0.0006525211,0.00016239028,0.00023968915,0.00042071776,0.000069685055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027160117,0.00002020583,0.0020824035,0.000012919307,0.0000022859192,0.00004979984,0.00006031289,0.0006260538,0.9958664,0.00007788353,0.000020188727,0.0011543655],"study_design_scores_gemma":[0.000011487035,0.00027035628,0.06703152,0.000005425822,0.000011014005,0.00014436325,0.00015001828,0.01574353,0.9154637,0.000107821674,0.0010414077,0.000019338922],"about_ca_topic_score_codex":0.009782795,"about_ca_topic_score_gemma":0.011640518,"teacher_disagreement_score":0.009782795,"about_ca_system_score_codex":0.00046446486,"about_ca_system_score_gemma":0.00029484215,"threshold_uncertainty_score":0.019451678},"labels":[],"label_agreement":null},{"id":"W4296526138","doi":"10.3390/en15186860","title":"The Study for Technical Analysis on the Development Potential of Multi-Zone Oil, Gas in Crossfield, Canada","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Petroleum; Foothills; Fossil fuel; Drilling; Structural basin; Directional drilling; Mining engineering; Petroleum engineering; Geochemistry; Paleontology; Geography; Engineering","score_opus":0.012128217526540783,"score_gpt":0.2272590208757229,"score_spread":0.2151308033491821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296526138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774417,0.00017501772,0.00076748186,0.000114995804,0.0000027603035,0.000060748225,0.0015469227,0.000011217333,0.019878987],"genre_scores_gemma":[0.98587984,0.00025498157,0.0012477308,0.000021346126,9.216378e-7,0.000021836418,0.0010828349,0.000003742632,0.011486707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995105,0.000023492077,0.000012074938,0.000039171486,0.00026616722,0.0001485728],"domain_scores_gemma":[0.9989298,0.00014488144,0.00009768434,0.000030017085,0.0006981129,0.00009957281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003184777,0.00018336345,0.0000804519,0.0014358788,0.0009610563,0.0010299197,0.00037124442,0.000141422,0.0029387777],"category_scores_gemma":[0.0008895255,0.00012190914,0.00020536846,0.0018021822,0.00028204804,0.00042987446,0.00038360764,0.00019283034,0.00019378697],"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":[0.00015252412,0.00011317478,0.91861326,0.00012033762,0.000049857703,0.00089144125,0.0013064869,0.0078093507,0.00647083,0.0052402355,0.0023767822,0.0568557],"study_design_scores_gemma":[0.000004149421,0.00006597756,0.9683945,0.000037887366,0.00002741351,0.00020031448,0.00674157,0.0073774597,0.0040510455,0.00023456688,0.01284981,0.000015369214],"about_ca_topic_score_codex":0.9092853,"about_ca_topic_score_gemma":0.97818667,"teacher_disagreement_score":0.09071469,"about_ca_system_score_codex":0.010456793,"about_ca_system_score_gemma":0.018198373,"threshold_uncertainty_score":0.1824978},"labels":[],"label_agreement":null},{"id":"W4296740998","doi":"10.3390/en15196877","title":"Assessment of the Brittle–Ductile State of Major Injection and Confining Formations in the Alberta Basin","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Energy; University of Waterloo; University of Alberta","funders":"","keywords":"Geology; Brittleness; Caprock; Structural basin; Induced seismicity; Seismology; Geotechnical engineering; Overburden pressure; Hazard analysis; Mining engineering; Petrology; Geomorphology; Engineering","score_opus":0.0107494947541109,"score_gpt":0.2194403865384298,"score_spread":0.20869089178431888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296740998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988649,0.000060265826,0.0003231692,0.0000073158517,3.6058884e-7,0.0000064106184,0.00012854917,0.000011037456,0.00059798715],"genre_scores_gemma":[0.99904317,0.00006463249,0.0005400484,0.0000034827317,4.134598e-7,0.0000026105809,0.000116122676,0.0000016598055,0.00022785597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981874,0.000011582473,0.00001026906,0.000032471617,0.0000933352,0.000033673587],"domain_scores_gemma":[0.99967957,0.00003976859,0.000081432714,0.000018752295,0.00012126382,0.00005926995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030035566,0.00027979133,0.00016404211,0.0022047814,0.00056196545,0.00065307476,0.00045382185,0.00019022186,0.00042259027],"category_scores_gemma":[0.0006394589,0.00018892044,0.00015392332,0.0014716842,0.00062635355,0.00020773013,0.0004988156,0.00013886872,0.00005519239],"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":[0.000067819296,0.000020659845,0.9640806,0.000020900108,0.000031111384,0.00021337594,0.00062051456,0.0056139794,0.013924406,0.00014450494,0.000050347146,0.0152118085],"study_design_scores_gemma":[0.000001661743,0.000014701721,0.9953725,0.00000402272,0.00000922493,0.000039302628,0.00029977114,0.0028531442,0.001189258,0.000036939473,0.0001747971,0.0000048065745],"about_ca_topic_score_codex":0.6407805,"about_ca_topic_score_gemma":0.8710333,"teacher_disagreement_score":0.3592195,"about_ca_system_score_codex":0.002939127,"about_ca_system_score_gemma":0.0018211302,"threshold_uncertainty_score":0.72266996},"labels":[],"label_agreement":null},{"id":"W4296991886","doi":"10.3390/en15196905","title":"Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Reduction strategy; Environmental economics; Reduction (mathematics); Activity-based costing; Budget constraint; Economics; Computer science; Microeconomics; Mathematics","score_opus":0.01385708127525492,"score_gpt":0.2596148976606265,"score_spread":0.24575781638537159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296991886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.114708595,0.0013683295,0.8058708,0.0023364127,0.00010081158,0.0005699514,0.0012566795,0.00023224516,0.073556244],"genre_scores_gemma":[0.83039457,0.0013750577,0.15276006,0.0002759481,0.00007597813,0.0008462214,0.00046242992,0.00007558967,0.0137340445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995346,0.00025933713,0.000011925481,0.000047123976,0.00009134662,0.000055597353],"domain_scores_gemma":[0.99957424,0.0002829266,0.00004357472,0.000010915487,0.00006542283,0.00002284645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012653875,0.0013007084,0.00077691127,0.0010321682,0.00044940156,0.0019154515,0.0010852551,0.0013275943,0.002982995],"category_scores_gemma":[0.001595581,0.0006321119,0.0011178454,0.0009978818,0.00044999932,0.0009483579,0.00095036224,0.0011692017,0.00020313468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008047853,0.000014901028,0.00015098412,0.00002010493,0.000016562346,0.000014638398,0.000007248433,0.99373996,0.00008884003,0.0036133544,0.00017200602,0.0021534583],"study_design_scores_gemma":[0.0000054858588,0.000022643064,0.00013152658,0.000009955837,0.0000096120375,0.0000034823847,0.000021844717,0.9964432,0.000062678846,0.002653302,0.0006311386,0.0000050993576],"about_ca_topic_score_codex":0.026335118,"about_ca_topic_score_gemma":0.02214581,"teacher_disagreement_score":0.026335118,"about_ca_system_score_codex":0.0023550494,"about_ca_system_score_gemma":0.0032325767,"threshold_uncertainty_score":0.052363694},"labels":[],"label_agreement":null},{"id":"W4296993276","doi":"10.3390/en15196940","title":"Benchmarking Real-Time Control Platforms Using a Matlab/Simulink Coder with Applications in the Control of DC/AC Switched Power Converters","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"Office of Experimental Program to Stimulate Competitive Research; Office of Energy Efficiency; Basic Energy Sciences; Office of Electricity; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Office of Science","keywords":"Converters; Computer science; Total harmonic distortion; Context (archaeology); Real-time Control System; Power (physics); Digital control; Pulse-width modulation; Electronic engineering; Control (management); Voltage; Engineering; Electrical engineering","score_opus":0.006208191726318051,"score_gpt":0.2022718899973051,"score_spread":0.19606369827098705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296993276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40704072,0.00073763717,0.5535478,0.00036723408,0.0004072656,0.0005553511,0.001324066,0.016357763,0.01966225],"genre_scores_gemma":[0.8856969,0.00027120646,0.109371305,0.000048551432,0.0000106582875,0.00038791503,0.00077110773,0.00063255016,0.002809821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991555,0.00025149298,0.00009669527,0.00010070609,0.00031960895,0.00007605081],"domain_scores_gemma":[0.9977963,0.0010826204,0.00016035729,0.00029191608,0.0006188864,0.00004999132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014494143,0.0011059822,0.00046935686,0.00076767086,0.00028537505,0.0007856315,0.0011221569,0.00055002543,0.0048866183],"category_scores_gemma":[0.004067904,0.00021723456,0.00046088564,0.0005155197,0.0003586706,0.00070159516,0.00045276794,0.0008661881,0.0008341109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007536206,0.00045019368,0.0035162347,0.0013418042,0.000140621,0.0003980109,0.00045949014,0.8551593,0.038769856,0.005610844,0.00396549,0.089434594],"study_design_scores_gemma":[0.00008713612,0.00032946197,0.0014061648,0.00007267266,0.000033218166,0.000092524,0.00010716924,0.9467599,0.044345934,0.00096243096,0.005759349,0.000044062646],"about_ca_topic_score_codex":0.0046322104,"about_ca_topic_score_gemma":0.0031916804,"teacher_disagreement_score":0.0048866183,"about_ca_system_score_codex":0.00046318138,"about_ca_system_score_gemma":0.0007830186,"threshold_uncertainty_score":0.016347408},"labels":[],"label_agreement":null},{"id":"W4297198344","doi":"10.3390/en15196981","title":"An Optimized Fuzzy Based Control Solution for Frequency Oscillation Reduction in Electric Grids","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Automatic frequency control; Frequency deviation; Electric power system; Grid; Controller (irrigation); Computer science; Demand response; Frequency grid; Fuzzy logic; Fuzzy control system; Automatic Generation Control; Control theory (sociology); Reliability engineering; Electricity; Control engineering; Engineering; Power (physics); Electrical engineering; Control (management); Voltage; Telecommunications","score_opus":0.005095359911645519,"score_gpt":0.19425439813362658,"score_spread":0.18915903822198105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297198344","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":[0.044960056,0.0005698199,0.94367814,0.00016921449,0.00009034538,0.00009204253,0.000039601615,0.00038582904,0.0100149475],"genre_scores_gemma":[0.9524792,0.00022394712,0.0436758,0.000077326404,0.000025797786,0.00008594777,0.000034369416,0.000015540607,0.0033821492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997801,0.000035507102,0.000013554856,0.00006499769,0.000076488046,0.000029226961],"domain_scores_gemma":[0.999871,0.000041031173,0.000027839358,0.0000058809064,0.00004740189,0.000006696328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037608444,0.0006399156,0.00044771002,0.00028592764,0.00039787308,0.0006984197,0.0005770703,0.0005880363,0.0015127294],"category_scores_gemma":[0.0005187977,0.00022027806,0.0003495999,0.00028274645,0.00031111788,0.00029623206,0.0003546968,0.0004691802,0.0001760243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018278013,0.00008154943,0.00032265118,0.00016529053,0.000052034833,0.00018415925,0.000105817715,0.8933789,0.014790938,0.00597788,0.0010922167,0.083665736],"study_design_scores_gemma":[0.000019160396,0.00012150044,0.00018819056,0.000009554235,0.000014671225,0.000023719935,0.000013229343,0.99674475,0.0013735418,0.00068439584,0.00080116576,0.0000060736434],"about_ca_topic_score_codex":0.0055498644,"about_ca_topic_score_gemma":0.0052771447,"teacher_disagreement_score":0.0055498644,"about_ca_system_score_codex":0.00042759924,"about_ca_system_score_gemma":0.0005692035,"threshold_uncertainty_score":0.011035144},"labels":[],"label_agreement":null},{"id":"W4297198361","doi":"10.3390/en15196984","title":"A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Smart grid; Computer security; Software deployment; Computer science; Internet of Things; Grid; Reliability (semiconductor); Enhanced Data Rates for GSM Evolution; Telecommunications; Engineering; Power (physics); Electrical engineering","score_opus":0.015596198997630758,"score_gpt":0.21384009999454104,"score_spread":0.19824390099691028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297198361","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":[0.004409459,0.9410956,0.01208429,0.0050660344,0.0020570888,0.00009836267,0.00040145114,0.00031402384,0.034473646],"genre_scores_gemma":[0.010980737,0.97728914,0.0043938328,0.0011673801,0.001124851,0.000039453895,0.0005197815,0.000035379366,0.0044494136],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945,0.000090735164,0.00008395816,0.00007100942,0.00024905824,0.000055219083],"domain_scores_gemma":[0.99863297,0.00062794564,0.00013003849,0.00006030702,0.00045565495,0.00009310092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080621964,0.00086797064,0.0007542087,0.0033031004,0.00045604585,0.0022911776,0.0007990211,0.0011354857,0.006498239],"category_scores_gemma":[0.0016776946,0.00042625703,0.0005945516,0.0076864543,0.0003859326,0.004610408,0.0009742671,0.0011609526,0.0023148211],"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":[0.00006582057,0.00007041604,0.0023909202,0.0108671915,0.000049384475,0.0003243442,0.0002536867,0.0022836076,0.0027084898,0.02569928,0.07587488,0.879412],"study_design_scores_gemma":[0.0000053691965,0.000099997334,0.0021066815,0.0039009831,0.00006373122,0.00086861756,0.0004095029,0.0020522876,0.0006763265,0.006873543,0.9829028,0.000040077954],"about_ca_topic_score_codex":0.0011804423,"about_ca_topic_score_gemma":0.0018076848,"teacher_disagreement_score":0.006498239,"about_ca_system_score_codex":0.0005110063,"about_ca_system_score_gemma":0.0010339539,"threshold_uncertainty_score":0.021738827},"labels":[],"label_agreement":null},{"id":"W4297348293","doi":"10.3390/en15197100","title":"Capacity Enhancement for Free Space Optics Transmission System Using Orbital Angular Momentum Optical Code Division Multiple Access in 5G and beyond Networks","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Angular momentum; Attenuation; Transmission (telecommunications); Free-space optical communication; Channel (broadcasting); Range (aeronautics); Division (mathematics); Optical communication; Free space; Computer science; Optics; Bit error rate; Code (set theory); Data transmission; Electronic engineering; Physics; Telecommunications; Engineering; Computer network; Mathematics; Aerospace engineering","score_opus":0.01747683873444982,"score_gpt":0.2480312629333552,"score_spread":0.23055442419890537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297348293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56977654,0.0023711983,0.4004695,0.00085342786,0.00021566206,0.000069254515,0.00017361985,0.0014793549,0.024591431],"genre_scores_gemma":[0.99129033,0.0002619404,0.0068579554,0.000039792278,0.000023363848,0.000012095957,0.000043673892,0.000009101426,0.0014616582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977547,0.000048685997,0.0000062904182,0.000030841813,0.0000754652,0.000063258376],"domain_scores_gemma":[0.99978524,0.00006881488,0.000025646745,0.00002694588,0.00008214201,0.000011234128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002149607,0.0004569492,0.00025214226,0.00035519776,0.0005588274,0.00045866886,0.00039948188,0.00034666102,0.0013276582],"category_scores_gemma":[0.00040383614,0.00009970045,0.0002801215,0.00032583135,0.00036515394,0.0008185441,0.00051528803,0.0002934671,0.00023265333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006173182,0.00020791993,0.0085221585,0.00036460333,0.00014387188,0.0012555618,0.00070322776,0.4605497,0.23824339,0.046971716,0.00850071,0.23391984],"study_design_scores_gemma":[0.00001616546,0.00023781175,0.0014968996,0.000025723155,0.00005871939,0.00028234298,0.00012385561,0.9622605,0.027275935,0.0032972633,0.0048842756,0.000040508014],"about_ca_topic_score_codex":0.004534521,"about_ca_topic_score_gemma":0.0060885786,"teacher_disagreement_score":0.004534521,"about_ca_system_score_codex":0.00054748816,"about_ca_system_score_gemma":0.0005570087,"threshold_uncertainty_score":0.009016216},"labels":[],"label_agreement":null},{"id":"W4297349368","doi":"10.3390/en15197068","title":"Changes in Energy Sector Strategies: A Literature Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki","keywords":"Scopus; Energy transition; Sustainability; Systematic review; Energy sector; Renewable energy; Knowledge management; Identification (biology); Business; Computer science; Data science; Process management; Environmental economics; Engineering; Political science; Economics","score_opus":0.048038275648445705,"score_gpt":0.24693074673441856,"score_spread":0.19889247108597286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297349368","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":[0.0020431974,0.9923873,0.00038656642,0.0015254234,0.00024803184,0.000037510545,0.00019893516,0.000013694385,0.0031593328],"genre_scores_gemma":[0.01267301,0.9858694,0.0005061892,0.00038242343,0.00010952927,0.000032604345,0.00015816244,0.00000556822,0.00026315733],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99617046,0.000978156,0.0009862537,0.00046278464,0.0011650037,0.00023742639],"domain_scores_gemma":[0.9778958,0.016633788,0.0019012812,0.00032868286,0.0029837303,0.00025666656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046521835,0.0009894285,0.0014196667,0.020882612,0.001062401,0.004770491,0.001198218,0.0018727167,0.0047878586],"category_scores_gemma":[0.01642636,0.00066991587,0.0016174666,0.029138029,0.001043903,0.004427207,0.0014364662,0.0011399845,0.0008534709],"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":[0.0001127514,0.00010897548,0.0027288117,0.24359216,0.0005762247,0.0006924734,0.002745192,0.00094744447,0.0007169037,0.014968666,0.018545229,0.7142652],"study_design_scores_gemma":[0.000018113386,0.00016156392,0.013901828,0.3958717,0.002118114,0.002003272,0.007656949,0.0004989859,0.0009859402,0.006917655,0.5697786,0.00008726324],"about_ca_topic_score_codex":0.00654405,"about_ca_topic_score_gemma":0.012010756,"teacher_disagreement_score":0.020882612,"about_ca_system_score_codex":0.003861705,"about_ca_system_score_gemma":0.0113416035,"threshold_uncertainty_score":0.028018773},"labels":[],"label_agreement":null},{"id":"W4297516102","doi":"10.3390/en15197146","title":"Efficiency Improvement of an Electric-Grid Transformer Using the Diamagnetism Characteristics of a Bulk Superconductor","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transformer; Distribution transformer; Energy efficient transformer; Materials science; Electrical engineering; Magnetic core; Engineering; Electromagnetic coil; Voltage","score_opus":0.011795949256791203,"score_gpt":0.22786148948379295,"score_spread":0.21606554022700175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297516102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69350475,0.000495758,0.29392812,0.00010316715,0.00006376106,0.00003373032,0.00006401818,0.00082633627,0.010980374],"genre_scores_gemma":[0.9817168,0.00010489219,0.01655209,0.000009568663,0.0000074391296,0.0000050143826,0.000034788132,0.000045706947,0.0015237379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998983,0.000015722828,0.00000554666,0.000016469716,0.000051286355,0.000012617537],"domain_scores_gemma":[0.999892,0.000024476123,0.000021525046,0.000017447612,0.00003705903,0.0000074110994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015578556,0.00030951053,0.00027722682,0.00019112582,0.00011645346,0.00027903612,0.0003296888,0.00013994252,0.00077679654],"category_scores_gemma":[0.00021670289,0.00011979992,0.0001968728,0.00026116517,0.00015677144,0.0004299878,0.00016906687,0.0001606619,0.0003491259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038337964,0.0000627134,0.0014836413,0.00014563638,0.000030484454,0.00023039032,0.00009642415,0.012518285,0.92589974,0.002429815,0.000595491,0.05612409],"study_design_scores_gemma":[0.000051999006,0.0007376248,0.0026248428,0.000013621297,0.00008159757,0.00071938866,0.000038050035,0.10921245,0.8785121,0.000691609,0.0072994702,0.000017252696],"about_ca_topic_score_codex":0.0003462442,"about_ca_topic_score_gemma":0.00047620825,"teacher_disagreement_score":0.00077679654,"about_ca_system_score_codex":0.00026850434,"about_ca_system_score_gemma":0.00013806765,"threshold_uncertainty_score":0.0025986433},"labels":[],"label_agreement":null},{"id":"W4297825226","doi":"10.3390/en15165774","title":"Fault Identification and Fault Impact Analysis of The Vapor Compression Refrigeration Systems in Buildings: A System Reliability Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"HVAC; Reliability engineering; Reliability (semiconductor); Refrigeration; Vapor-compression refrigeration; Fault (geology); Identification (biology); Engineering; Computer science; Air conditioning; Refrigerant; Mechanical engineering; Gas compressor","score_opus":0.007821419547163528,"score_gpt":0.22561905591360185,"score_spread":0.2177976363664383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297825226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60876435,0.0007438419,0.3858882,0.00013356951,0.000016979158,0.00012538939,0.00019145543,0.00035200128,0.003784217],"genre_scores_gemma":[0.98577917,0.00018419305,0.0130200405,0.0000060122925,0.000007324035,0.000034292163,0.00010533016,0.000009035483,0.000854632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997348,0.00007926174,0.00001390821,0.000034179182,0.00009912113,0.000038640806],"domain_scores_gemma":[0.99960977,0.00018659569,0.000060661023,0.000019646723,0.000113030175,0.00001023233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003545325,0.0005840604,0.00042033734,0.0010832162,0.00025583027,0.0003710512,0.0002796689,0.00041992383,0.00091889896],"category_scores_gemma":[0.0007860377,0.00017450357,0.0005927108,0.0004313485,0.00025718022,0.00038368057,0.00026884093,0.00026012716,0.00010666081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013222777,0.000082043,0.0061272928,0.00017080893,0.00006362523,0.00026235465,0.00013590648,0.9257533,0.019715654,0.0017232394,0.0002837528,0.04554982],"study_design_scores_gemma":[0.0000021457704,0.000133487,0.0042689107,0.0000068355025,0.000020764928,0.00006688889,0.00005613598,0.98994446,0.004851234,0.00044578855,0.00019650644,0.0000069608877],"about_ca_topic_score_codex":0.0050874604,"about_ca_topic_score_gemma":0.003201047,"teacher_disagreement_score":0.0050874604,"about_ca_system_score_codex":0.0005258048,"about_ca_system_score_gemma":0.00048039635,"threshold_uncertainty_score":0.010115683},"labels":[],"label_agreement":null},{"id":"W4297973383","doi":"10.3390/en15197168","title":"Investigation of Steam Explosion Pretreatment of Sawdust and Oat Straw to Improve Their Quality as Biofuel Pellets","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; Canadian Light Source (Canada); Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"","keywords":"Pellets; Sawdust; Straw; Pellet; Steam explosion; Ultimate tensile strength; Biomass (ecology); Pulp and paper industry; Biofuel; Materials science; Bioenergy; Moisture; Chemistry; Agronomy; Animal science; Waste management; Composite material; Biology","score_opus":0.01597699863749307,"score_gpt":0.21713541455380153,"score_spread":0.20115841591630845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297973383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987104,0.00026979376,0.0006696712,0.000009525039,0.0000050429535,0.000009397393,0.000055816177,0.0000071248337,0.00026323175],"genre_scores_gemma":[0.9980939,0.0002779983,0.0009210237,0.0000074905015,0.00000267619,0.00000794589,0.000116919226,0.0000075907174,0.00056447095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998846,0.000015031122,0.000008165875,0.000016178614,0.00005308695,0.000022934853],"domain_scores_gemma":[0.99989855,0.000023639686,0.000030353061,0.0000055701544,0.00002917275,0.00001263076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017701078,0.0002947488,0.00033348598,0.00019201884,0.00011345779,0.00029640523,0.00011202154,0.0001424252,0.000757642],"category_scores_gemma":[0.00022727315,0.00013789517,0.0003525902,0.00028068907,0.0001388192,0.00017564054,0.00009277804,0.00025570783,0.00011679655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009734911,0.00002537022,0.0005257544,0.000038967893,0.000008776306,0.000041915075,0.000014235638,0.00017047737,0.99762493,0.000015785105,0.00000547328,0.0014307995],"study_design_scores_gemma":[0.0000064831397,0.0005335719,0.016679881,0.0000038866783,0.000021998603,0.000042488264,0.00005114941,0.0012339246,0.98106486,0.000013052586,0.0003449834,0.0000037652371],"about_ca_topic_score_codex":0.0011743059,"about_ca_topic_score_gemma":0.0028556038,"teacher_disagreement_score":0.0011743059,"about_ca_system_score_codex":0.00016078542,"about_ca_system_score_gemma":0.00016728228,"threshold_uncertainty_score":0.0025345683},"labels":[],"label_agreement":null},{"id":"W4303699931","doi":"10.3390/en15197325","title":"Challenges Facing Pressure Retarded Osmosis Commercialization: A Short Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Commercialization; Pressure-retarded osmosis; Forward osmosis; Pressure drop; Osmotic power; Concentration polarization; Environmental science; Salinity; Scale (ratio); Power density; Power (physics); Process engineering; Engineering physics; Engineering; Mechanical engineering; Reverse osmosis; Mechanics; Chemistry; Business; Physics; Membrane; Thermodynamics; Geology","score_opus":0.1442886878604341,"score_gpt":0.34472251179712887,"score_spread":0.20043382393669476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303699931","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":[0.00032855783,0.9975998,0.00024287269,0.00032835486,0.00022739358,0.000008263015,0.000036572426,0.000008661225,0.0012195419],"genre_scores_gemma":[0.0007630861,0.99833965,0.0002352776,0.00013325638,0.00009996733,0.0000068437203,0.00003743966,0.0000016181436,0.00038285702],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967706,0.000048991293,0.0000644274,0.000055739394,0.00012242493,0.000031397576],"domain_scores_gemma":[0.99909496,0.0004653954,0.00014760271,0.000018113564,0.00023213439,0.00004185895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171705,0.000902303,0.0011235296,0.002490501,0.0003486445,0.0014326641,0.00075475476,0.0012690532,0.0042441194],"category_scores_gemma":[0.001293094,0.00042675002,0.0008457691,0.0029659986,0.00031466887,0.002052874,0.00070028426,0.0012184033,0.0014560485],"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":[0.00008167918,0.00009956555,0.00027417752,0.09935871,0.00019871953,0.0003282442,0.00013738067,0.0010709299,0.005390741,0.007467224,0.027462129,0.85813046],"study_design_scores_gemma":[0.000008253962,0.00016267483,0.0006726048,0.009519489,0.00028682902,0.0005781535,0.00012563143,0.00020847801,0.0015028092,0.0018380688,0.9850662,0.000030827967],"about_ca_topic_score_codex":0.0014634493,"about_ca_topic_score_gemma":0.0025737737,"teacher_disagreement_score":0.0042441194,"about_ca_system_score_codex":0.0005375471,"about_ca_system_score_gemma":0.002036583,"threshold_uncertainty_score":0.014198005},"labels":[],"label_agreement":null},{"id":"W4303700160","doi":"10.3390/en15197239","title":"A Life-Cycle Approach to Investigate the Potential of Novel Biobased Construction Materials toward a Circular Built Environment","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Life-cycle assessment; Sustainability; Circular economy; Environmental science; Electricity; Global-warming potential; Global warming; Climate change; Production (economics); Natural resource economics; Eutrophication; Greenhouse gas; Environmental engineering; Engineering; Ecology; Economics","score_opus":0.014823869395612163,"score_gpt":0.19741095837937653,"score_spread":0.18258708898376436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303700160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74247026,0.007587057,0.19758366,0.00052349316,0.000113287475,0.001268736,0.0037258088,0.00015899383,0.046568643],"genre_scores_gemma":[0.9430874,0.0037034957,0.041014984,0.0001477459,0.000008438148,0.0010598496,0.00107322,0.000026713566,0.009878061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998103,0.000059669,0.000007707414,0.00003441912,0.000059254075,0.000028730616],"domain_scores_gemma":[0.99983954,0.000072590454,0.000026714877,0.000013484901,0.000038974627,0.00000863376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006402004,0.00066878326,0.00037466525,0.0008836965,0.00030363793,0.00084629026,0.00067967933,0.0007814718,0.003225284],"category_scores_gemma":[0.00051084044,0.00021777854,0.0010503964,0.0009311705,0.00039012826,0.00078510126,0.0004654819,0.00059523457,0.00041297267],"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":[0.00044251466,0.0007888474,0.017935282,0.0014072317,0.00030331383,0.00044188424,0.00019847883,0.63923013,0.20405099,0.057123665,0.0010888046,0.07698888],"study_design_scores_gemma":[0.00007028701,0.003384548,0.013756702,0.00016860769,0.00029470513,0.0003462777,0.0006188788,0.78431934,0.12750025,0.02848502,0.040961258,0.00009421062],"about_ca_topic_score_codex":0.00334774,"about_ca_topic_score_gemma":0.004954225,"teacher_disagreement_score":0.00334774,"about_ca_system_score_codex":0.0023685454,"about_ca_system_score_gemma":0.00089141465,"threshold_uncertainty_score":0.017185032},"labels":[],"label_agreement":null},{"id":"W4304585303","doi":"10.3390/en15207460","title":"Influence-Based Consequence Assessment of Subsea Pipeline Failure under Stochastic Degradation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Subsea; Integrity management; Probabilistic logic; Submarine pipeline; Pipeline (software); Reliability engineering; Corrosion; Asset (computer security); Life extension; Bayesian network; Pipeline transport; Computer science; Degradation (telecommunications); Asset management; Risk analysis (engineering); Engineering; Environmental science; Marine engineering; Business; Computer security; Environmental engineering; Geotechnical engineering; Materials science","score_opus":0.011261077092977138,"score_gpt":0.2427377301549917,"score_spread":0.23147665306201456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304585303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39313096,0.00027348526,0.60218173,0.0002295168,0.000027184366,0.00006205473,0.00020419934,0.00025999523,0.0036308616],"genre_scores_gemma":[0.99374145,0.0000678362,0.00565406,0.000010672359,0.0000062376303,0.000013418053,0.000060769828,0.000008044565,0.00043750185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995932,0.0000928011,0.000019338706,0.00008679944,0.00016154113,0.000046362973],"domain_scores_gemma":[0.99900085,0.000506528,0.0001825608,0.000041430318,0.00020278816,0.0000657844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007736687,0.00068152405,0.000452282,0.0008151341,0.00025480907,0.00045081787,0.00061295234,0.0005153735,0.0008533509],"category_scores_gemma":[0.0030861453,0.0002831719,0.00065566757,0.0003652683,0.00047935042,0.0007295979,0.00067833817,0.0004811883,0.00008265086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006426875,0.000015161054,0.0062728524,0.000024779227,0.000028275052,0.00012637014,0.000026782665,0.9820623,0.0016973618,0.0016833483,0.0001101809,0.007888261],"study_design_scores_gemma":[0.0000016987331,0.000020020674,0.0019210236,0.0000021488975,0.000010543024,0.000027835053,0.0000052691917,0.99636036,0.00042542108,0.0011690236,0.000051833144,0.0000048703764],"about_ca_topic_score_codex":0.0086436225,"about_ca_topic_score_gemma":0.0084816255,"teacher_disagreement_score":0.0086436225,"about_ca_system_score_codex":0.00077651866,"about_ca_system_score_gemma":0.0006053624,"threshold_uncertainty_score":0.017186642},"labels":[],"label_agreement":null},{"id":"W4306149698","doi":"10.3390/en15207553","title":"Application of Deep Learning Gated Recurrent Unit in Hybrid Shunt Active Power Filter for Power Quality Enhancement","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Quality and Harmonics","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":"Université de Moncton","funders":"","keywords":"Total harmonic distortion; Artificial neural network; Mean squared error; Control theory (sociology); Voltage; Computer science; Electric power system; Electronic engineering; Harmonic; Engineering; Power (physics); Artificial intelligence; Mathematics; Electrical engineering; Control (management); Statistics","score_opus":0.02364347833186878,"score_gpt":0.28041642510535897,"score_spread":0.25677294677349016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306149698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07813251,0.00042675567,0.9175347,0.00010533238,0.00005298354,0.000036156867,0.00003556163,0.0011594305,0.0025165875],"genre_scores_gemma":[0.93084145,0.00014621454,0.06709904,0.000053884523,0.000017814651,0.0000276251,0.00004708846,0.000028062219,0.0017387826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998425,0.00003805157,0.000009987858,0.000031166863,0.00005623496,0.00002196563],"domain_scores_gemma":[0.999838,0.0000553539,0.000024758792,0.000017794186,0.00005558936,0.000008513262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037358847,0.00046352172,0.00043772,0.0002402213,0.0001711141,0.00038988213,0.0006127771,0.0004307788,0.0010889984],"category_scores_gemma":[0.0004847557,0.00016593623,0.00033982785,0.00025565203,0.00021277493,0.00050397933,0.00025617954,0.0003642555,0.00017958276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023545677,0.00017310794,0.0018153073,0.00014715108,0.00012814895,0.00021015371,0.00008372733,0.6482171,0.044422567,0.004174536,0.0012711185,0.29912156],"study_design_scores_gemma":[0.0000048468683,0.00005348216,0.00016755042,0.0000027857602,0.000011253509,0.00001662471,0.000002537475,0.9955745,0.0035928078,0.00035725516,0.00021331765,0.0000029760902],"about_ca_topic_score_codex":0.003582627,"about_ca_topic_score_gemma":0.0054660668,"teacher_disagreement_score":0.003582627,"about_ca_system_score_codex":0.00041520596,"about_ca_system_score_gemma":0.0003128412,"threshold_uncertainty_score":0.00712353},"labels":[],"label_agreement":null},{"id":"W4306377037","doi":"10.3390/en15207616","title":"Characterization of a Non-Darcy Flow and Development of New Correlation of NON-Darcy Coefficient","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Darcy's law; Permeability (electromagnetism); Mechanics; Porosity; Compressibility; Pressure gradient; Porous medium; Darcy number; Geotechnical engineering; Geology; Materials science; Reynolds number; Chemistry; Physics","score_opus":0.005883803525442636,"score_gpt":0.19704551217288765,"score_spread":0.19116170864744503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306377037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21690984,0.0031050777,0.7749614,0.00018746186,0.00015981733,0.00021744297,0.00035889389,0.0006556601,0.003444348],"genre_scores_gemma":[0.7977668,0.0030779135,0.19565348,0.00015297259,0.00013912393,0.00033343813,0.0006937389,0.00018286085,0.0019997093],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906987,0.0001404353,0.00007799573,0.00026011944,0.00037380724,0.00007774844],"domain_scores_gemma":[0.9959572,0.0019314248,0.00065999816,0.00031358868,0.0010304111,0.00010738844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017857602,0.00066535186,0.00076053577,0.0034757191,0.0002688917,0.00095167797,0.000680734,0.00056431454,0.00061274495],"category_scores_gemma":[0.0064200466,0.00037750366,0.0005183692,0.0018753641,0.00096269534,0.0019497399,0.0005590549,0.0015818396,0.00022505363],"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":[0.00035267696,0.00042620878,0.034741458,0.0013362932,0.00010581812,0.0012112173,0.00095840567,0.07549575,0.5876499,0.080627665,0.0029913287,0.21410331],"study_design_scores_gemma":[0.000026994163,0.00030000668,0.02274608,0.000073393414,0.000048070884,0.0010593992,0.00019447034,0.7478377,0.2058209,0.013040603,0.008643794,0.00020860479],"about_ca_topic_score_codex":0.00081315,"about_ca_topic_score_gemma":0.0004082318,"teacher_disagreement_score":0.0034757191,"about_ca_system_score_codex":0.00036342582,"about_ca_system_score_gemma":0.000595482,"threshold_uncertainty_score":0.009444118},"labels":[],"label_agreement":null},{"id":"W4306758994","doi":"10.3390/en15207669","title":"Resilience Enhancement of an Urban Microgrid during Off-Grid Mode Operation Using Critical Load Indicators","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Microgrid; Unavailability; Resilience (materials science); Reliability engineering; Grid; Computer science; Integer programming; Mode (computer interface); Linear programming; Mathematical optimization; Renewable energy; Engineering; Mathematics; Electrical engineering","score_opus":0.00437799611621952,"score_gpt":0.22096112082506728,"score_spread":0.21658312470884775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306758994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8972401,0.00009201753,0.09484567,0.000118991775,0.000016312517,0.00009632131,0.00013700545,0.00027829106,0.007175237],"genre_scores_gemma":[0.997894,0.000021031305,0.001873875,0.0000022074305,8.6690324e-7,0.000008582417,0.000016722377,0.0000031474067,0.00017964744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998996,0.00003468092,0.0000035439875,0.00001459973,0.00001636699,0.000031184343],"domain_scores_gemma":[0.99979395,0.00008446773,0.00005400462,0.000013154975,0.000034905766,0.000019576868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035541964,0.00059294305,0.00029863132,0.00040202812,0.0002547107,0.0005767478,0.0002857821,0.00021072067,0.0006428635],"category_scores_gemma":[0.00056599843,0.00015235622,0.00027222338,0.00031507024,0.00028350388,0.000426034,0.00043611505,0.00024204099,0.000059559017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001084668,0.000036859685,0.0026847778,0.00003290305,0.000016924574,0.00010783383,0.00002674642,0.9864514,0.0032806254,0.00090406113,0.00015456755,0.00619494],"study_design_scores_gemma":[0.000004951246,0.00011935393,0.0015553369,0.000004087211,0.000013317731,0.000014721983,0.00007171505,0.9956612,0.0019103077,0.0005109321,0.00012897399,0.000005143833],"about_ca_topic_score_codex":0.0038562901,"about_ca_topic_score_gemma":0.004503454,"teacher_disagreement_score":0.0038562901,"about_ca_system_score_codex":0.0005565457,"about_ca_system_score_gemma":0.0005241253,"threshold_uncertainty_score":0.0076677203},"labels":[],"label_agreement":null},{"id":"W4306839737","doi":"10.3390/en15207727","title":"Reflections on the Evidentiary Basis of Indoor Air Quality Standards","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Politechnika Poznańska; Villum Fonden","keywords":"Indoor air quality; Transparency (behavior); Scope (computer science); Quality (philosophy); Context (archaeology); Documentation; Risk analysis (engineering); Architectural engineering; Computer science; Business; Environmental science; Engineering; Computer security; Geography; Environmental engineering","score_opus":0.030485651864028053,"score_gpt":0.30658864444611555,"score_spread":0.2761029925820875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306839737","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068897195,0.03082521,0.11135756,0.6452915,0.0044442085,0.00044513727,0.00041809794,0.00011186007,0.13820927],"genre_scores_gemma":[0.8973906,0.01081831,0.053545866,0.03347062,0.001247832,0.00044314456,0.00018050981,0.00008838594,0.0028147746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.80114794,0.1312047,0.019333588,0.0077263727,0.037310682,0.0032767104],"domain_scores_gemma":[0.6039345,0.32472312,0.015695898,0.01882527,0.035021756,0.0017993924],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.21123469,0.00059244933,0.001005595,0.0047148187,0.0047794096,0.019809064,0.004007285,0.008927228,0.0017027153],"category_scores_gemma":[0.22667825,0.0008213327,0.0013221388,0.0035510866,0.048656758,0.021798803,0.010289339,0.018852409,0.00034783524],"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":[0.000026716256,0.00003662704,0.0010330669,0.0005529387,0.000014431017,0.00013037381,0.025135916,0.00036727847,0.00038661985,0.95150316,0.004053285,0.016759602],"study_design_scores_gemma":[0.00003967381,0.00015333788,0.004740737,0.0056892694,0.000059671034,0.00042618482,0.053715028,0.0019341926,0.0021135386,0.74693024,0.18407634,0.00012186782],"about_ca_topic_score_codex":0.005854111,"about_ca_topic_score_gemma":0.0045880694,"teacher_disagreement_score":0.21123469,"about_ca_system_score_codex":0.012980213,"about_ca_system_score_gemma":0.017870586,"threshold_uncertainty_score":0.9726881},"labels":[],"label_agreement":null},{"id":"W4307263582","doi":"10.3390/en15207792","title":"Aerogel Product Applications for High-Temperature Thermal Insulation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Aerogel; Thermal insulation; Basalt fiber; Materials science; Pipe insulation; Composite material; Thermal; Fiber; Temperature gradient; Flue gas; Thermal conductivity; Vacuum insulated panel; Waste management; Engineering; Thermodynamics","score_opus":0.009495716734575955,"score_gpt":0.22239704653818296,"score_spread":0.21290132980360701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307263582","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976925,0.0017670913,0.016205221,0.000044925877,0.000023978457,0.000018491266,0.00017154723,0.0001339093,0.0047098105],"genre_scores_gemma":[0.9917672,0.0005874333,0.0067968545,0.000005786948,0.0000051089414,0.000008131252,0.000110550376,0.000029070019,0.0006898772],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998784,0.000008212997,0.0000040176174,0.000032832344,0.00005560773,0.000020790705],"domain_scores_gemma":[0.99988806,0.00003221292,0.0000243167,0.000012434356,0.000033574364,0.000009302233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018104276,0.00027015802,0.00018646597,0.00020723951,0.0002128287,0.00030760258,0.00017676486,0.00022733126,0.0009376683],"category_scores_gemma":[0.0002032306,0.00009942398,0.00026583613,0.00015536175,0.0001784082,0.00040462977,0.00015525038,0.00028408045,0.00018807357],"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":[0.000036033365,0.000006531433,0.00028594738,0.00008791355,0.0000039191677,0.000044778262,0.000023357661,0.00075663417,0.99663407,0.0001825524,0.000029181263,0.0019090949],"study_design_scores_gemma":[0.0000023713949,0.00012371145,0.0014185109,0.000006151106,0.000009108719,0.000099333,0.000023156761,0.0018471322,0.9944042,0.00007099139,0.0019911432,0.0000041468247],"about_ca_topic_score_codex":0.00028620774,"about_ca_topic_score_gemma":0.00066097133,"teacher_disagreement_score":0.0009376683,"about_ca_system_score_codex":0.00023388593,"about_ca_system_score_gemma":0.00011180204,"threshold_uncertainty_score":0.0031368136},"labels":[],"label_agreement":null},{"id":"W4307265882","doi":"10.3390/en15217883","title":"Non-Linear Clustering of Distribution Feeders","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Cluster analysis; Nonlinear system; Computer science; Contrast (vision); Distributed generation; Term (time); Mathematical optimization; Distribution (mathematics); Point (geometry); Data mining; Operations research; Econometrics; Mathematics; Engineering; Artificial intelligence; Electrical engineering; Physics; Renewable energy","score_opus":0.006609949469505344,"score_gpt":0.20331575347713485,"score_spread":0.1967058040076295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307265882","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17523664,0.00025050703,0.8198938,0.00014911089,0.000016420814,0.00012461722,0.00022585545,0.00047194673,0.003631126],"genre_scores_gemma":[0.86104715,0.00015566824,0.13421316,0.000026405802,0.000010612751,0.000079722726,0.00046101297,0.00006480584,0.0039414987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964905,0.00013259801,0.000014648225,0.00009504401,0.00006982475,0.000038869515],"domain_scores_gemma":[0.9991067,0.00045750436,0.00011374887,0.00009536833,0.00019896531,0.000027672153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057755806,0.00048479615,0.00040046198,0.00091381615,0.00048448547,0.0006211921,0.0006980371,0.00040094327,0.0014396084],"category_scores_gemma":[0.0020396293,0.0002462319,0.0004328272,0.0008437495,0.00038409358,0.00065233046,0.0004215156,0.000283638,0.00036692715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064108994,0.000027243568,0.002324319,0.000057316203,0.000026544743,0.0000440188,0.000090721354,0.95163995,0.0015358351,0.0027303211,0.0005750825,0.04088453],"study_design_scores_gemma":[0.0000018527803,0.000007811595,0.00064751145,0.0000022009865,0.000002440423,0.000011105142,0.000021682288,0.9974654,0.0004433335,0.0011874911,0.00020577134,0.0000034453972],"about_ca_topic_score_codex":0.012541235,"about_ca_topic_score_gemma":0.011922782,"teacher_disagreement_score":0.012541235,"about_ca_system_score_codex":0.0009331617,"about_ca_system_score_gemma":0.00066278747,"threshold_uncertainty_score":0.024936497},"labels":[],"label_agreement":null},{"id":"W4307270927","doi":"10.3390/en15217891","title":"Literature Review of Hybrid CO2 Low Salinity Water-Alternating-Gas Injection and Investigation on Hysteresis Effect","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Hibernia Management and Development Company; Natural Sciences and Engineering Research Council of Canada; Mitacs; Petroleum Research Newfoundland and Labrador","keywords":"Salinity; Petroleum engineering; Brine; Enhanced oil recovery; Environmental science; Water injection (oil production); Geology; Chemistry","score_opus":0.006229675716034171,"score_gpt":0.21067578246358368,"score_spread":0.2044461067475495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307270927","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":[0.0015323136,0.9931942,0.0015138495,0.00039138162,0.00026190246,0.00002315962,0.00015661401,0.00002978494,0.0028967808],"genre_scores_gemma":[0.006023859,0.99146175,0.0010848346,0.00021531603,0.00018595651,0.000022569713,0.00017773733,0.000008237032,0.00081985164],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995852,0.000054946802,0.000088034554,0.00009177406,0.00015168435,0.000028283246],"domain_scores_gemma":[0.99830365,0.0009044549,0.00026559827,0.000051865343,0.00042995194,0.000044371154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008011005,0.00095019204,0.0012336922,0.004198608,0.0004210821,0.0010409341,0.00092109526,0.0008610339,0.0040310975],"category_scores_gemma":[0.0016613259,0.0004577623,0.0010051405,0.0055039967,0.00037651762,0.0015698248,0.0005653277,0.0005480392,0.000837779],"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":[0.00023070684,0.00016850469,0.0010498016,0.17875145,0.00040790872,0.0005858163,0.00025468817,0.0027157543,0.0110061765,0.0062677553,0.028271321,0.77029014],"study_design_scores_gemma":[0.000020176078,0.0004036682,0.0034604084,0.023032138,0.0014550347,0.0014206574,0.0003888095,0.0013674862,0.011617511,0.0034387289,0.9533093,0.000086110995],"about_ca_topic_score_codex":0.0023320685,"about_ca_topic_score_gemma":0.0025673697,"teacher_disagreement_score":0.004198608,"about_ca_system_score_codex":0.00049935584,"about_ca_system_score_gemma":0.0021526928,"threshold_uncertainty_score":0.013485372},"labels":[],"label_agreement":null},{"id":"W4307273497","doi":"10.3390/en15207807","title":"Detection of Load-Altering Cyberattacks Targeting Peak Shaving Using Residential Electric Water Heaters","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hydro-Québec","funders":"Hydro-Québec","keywords":"Peaking power plant; Smart grid; Demand response; Energy management system; Load management; Grid; Load shifting; Peak demand; Load balancing (electrical power); Computer science; Control (management); Energy management; Peak load; Electric power system; Latency (audio); Real-time computing; Automotive engineering; Electricity; Engineering; Renewable energy; Power (physics); Energy (signal processing); Distributed generation; Electrical engineering; Telecommunications","score_opus":0.006509709957096486,"score_gpt":0.19969590724126335,"score_spread":0.19318619728416686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307273497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90182805,0.00011200963,0.09388722,0.00020154679,0.00003851984,0.000085399144,0.000065579785,0.0011979857,0.002583853],"genre_scores_gemma":[0.9968045,0.000018203637,0.0028240173,0.000016350503,0.000002374409,0.0000063091175,0.000014853352,0.0000030020035,0.00031035038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977726,0.00003890343,0.0000092932405,0.000056285375,0.00007089156,0.000047341113],"domain_scores_gemma":[0.99962044,0.00011703764,0.000101306185,0.000038587412,0.000090579175,0.000032103075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022906269,0.00050426746,0.00024980016,0.0002978565,0.00016900578,0.00025428485,0.00040040913,0.00041364366,0.0004864879],"category_scores_gemma":[0.00078650453,0.00010989144,0.0001224676,0.00014226246,0.0002564496,0.0005417128,0.00032594815,0.00033485048,0.00009984697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027796903,0.0010889401,0.06605076,0.00028065353,0.00016090929,0.0011236342,0.00028619054,0.46918136,0.17731984,0.002108539,0.0019577327,0.2776618],"study_design_scores_gemma":[0.00001766295,0.0002120849,0.006992131,0.000005187764,0.000013258214,0.00007457586,0.000045628585,0.96054757,0.031525586,0.0003644822,0.00019105097,0.000010782399],"about_ca_topic_score_codex":0.0026667921,"about_ca_topic_score_gemma":0.0037710809,"teacher_disagreement_score":0.0026667921,"about_ca_system_score_codex":0.0004111769,"about_ca_system_score_gemma":0.00022637543,"threshold_uncertainty_score":0.005302489},"labels":[],"label_agreement":null},{"id":"W4307434387","doi":"10.3390/en15217993","title":"Thermo-Hydraulic Performance of Multiple Channels and Pin Fins Forming Convergent/Divergent Shape","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pressure drop; Nusselt number; Laminar flow; Mechanics; Reynolds number; Fin; Flow (mathematics); Heat transfer; Open-channel flow; Materials science; Mathematics; Physics; Turbulence; Composite material","score_opus":0.013343891652612395,"score_gpt":0.18695943782464297,"score_spread":0.17361554617203057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307434387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981199,0.00006898467,0.0012401614,0.000006339278,0.000008547532,0.000004041729,0.000025682282,0.000028159382,0.00049811247],"genre_scores_gemma":[0.9991068,0.000024908752,0.00052104495,0.0000014457212,0.0000013894416,0.000002687212,0.00001212928,0.0000034870982,0.00032597606],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998497,0.000012659324,0.000007799913,0.00003731649,0.00004111184,0.000051487965],"domain_scores_gemma":[0.9995247,0.00017403132,0.00008595314,0.00004155923,0.00009827791,0.00007544763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030759437,0.0003200968,0.00031519734,0.0003327825,0.00021229201,0.00043597436,0.0002235504,0.00025387594,0.0014171501],"category_scores_gemma":[0.000618604,0.00014373686,0.00021739471,0.00019237326,0.00048161368,0.00043204153,0.00038285519,0.0001924461,0.0001297394],"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":[0.0012296836,0.00017612464,0.0091015175,0.00022564332,0.000023705821,0.00032855733,0.00014732349,0.035666227,0.929039,0.0009094684,0.00018734805,0.02296541],"study_design_scores_gemma":[0.000032952572,0.0019637044,0.015754037,0.000016268707,0.00004222519,0.0002146191,0.00020850314,0.071633965,0.90902245,0.00027484514,0.0007880369,0.00004846297],"about_ca_topic_score_codex":0.0003688197,"about_ca_topic_score_gemma":0.00048115067,"teacher_disagreement_score":0.0014171501,"about_ca_system_score_codex":0.00018494038,"about_ca_system_score_gemma":0.00023165859,"threshold_uncertainty_score":0.004740894},"labels":[],"label_agreement":null},{"id":"W4307551735","doi":"10.3390/en15217906","title":"Energy Performance Evaluation of a Solar PVT Thermal Energy Storage System Based on Small Size Borefield","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRNSYS; Thermal energy storage; Environmental science; Renewable energy; Energy storage; Heat pump; Solar energy; Nuclear engineering; Process engineering; Meteorology; Thermal; Engineering; Electrical engineering; Mechanical engineering; Geography; Power (physics); Thermodynamics; Physics; Heat exchanger","score_opus":0.017251115727963538,"score_gpt":0.21450211445701534,"score_spread":0.1972509987290518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307551735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944007,0.00009038952,0.004569978,0.00001862847,0.0000097033335,0.000023041777,0.0000730273,0.00007737149,0.00073704653],"genre_scores_gemma":[0.9987703,0.000024813198,0.00080219726,0.000002357248,0.0000013441689,0.0000056918484,0.000032276334,0.0000024717885,0.0003584989],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987984,0.0000278327,0.000010971829,0.000028914366,0.00003851719,0.000013913041],"domain_scores_gemma":[0.9998919,0.000034721623,0.000014388357,0.000011844132,0.000035056277,0.000012041796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281838,0.00027952576,0.0004324144,0.00021386328,0.00037009575,0.00034069055,0.0004013312,0.00023325058,0.0012696607],"category_scores_gemma":[0.00021831492,0.000115673996,0.00032096895,0.00024018144,0.00019773439,0.00051177206,0.00022672105,0.0001453228,0.00013335375],"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":[0.0033417547,0.00062382227,0.02844597,0.0005949016,0.00012215816,0.00078540866,0.00030704375,0.27457267,0.6088476,0.00084324507,0.0007822638,0.08073321],"study_design_scores_gemma":[0.00023959768,0.00636625,0.05683312,0.000026734699,0.00019348736,0.0006650713,0.00048480928,0.64752585,0.28313893,0.00048547392,0.003959393,0.00008125898],"about_ca_topic_score_codex":0.003129183,"about_ca_topic_score_gemma":0.004950755,"teacher_disagreement_score":0.003129183,"about_ca_system_score_codex":0.00039469224,"about_ca_system_score_gemma":0.00031822154,"threshold_uncertainty_score":0.00622195},"labels":[],"label_agreement":null},{"id":"W4307552289","doi":"10.3390/en15217910","title":"Ship Energy Efficiency and Maritime Sector Initiatives to Reduce Carbon Emissions","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Enforcement; Sustainability; Renewable energy; Maturity (psychological); Environmental economics; Greenhouse gas; Business; Clean technology; Efficient energy use; Scale (ratio); Natural resource economics; Engineering; Economics","score_opus":0.009851573268236434,"score_gpt":0.21810836658805102,"score_spread":0.2082567933198146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307552289","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":[0.057151746,0.1229183,0.01715611,0.06142938,0.0019097367,0.00010404809,0.00047467288,0.00029670607,0.7385593],"genre_scores_gemma":[0.68823284,0.16075808,0.010551574,0.013925434,0.00077189965,0.00010281772,0.0007851897,0.00013987719,0.12473234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919456,0.00019182985,0.000025500178,0.000079191195,0.0003506487,0.0001582164],"domain_scores_gemma":[0.9991417,0.00021319347,0.0001602087,0.00005522974,0.00035303933,0.00007658879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014797576,0.00048712874,0.0001961905,0.001098075,0.0005198058,0.0026028983,0.00045993485,0.0011681475,0.012212181],"category_scores_gemma":[0.0020840594,0.00011206385,0.00050893694,0.002262908,0.0007260612,0.001922932,0.0015122701,0.0013803192,0.0017322412],"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":[0.00011721432,0.00036161084,0.009783458,0.004059416,0.00020840904,0.00025904295,0.0010432205,0.0049864617,0.0049557416,0.4334663,0.06993725,0.47082195],"study_design_scores_gemma":[0.0000142373,0.00010558164,0.026503054,0.0016447562,0.000062880856,0.0002091095,0.0018403783,0.0013101628,0.0040882383,0.022806104,0.9413932,0.000022301563],"about_ca_topic_score_codex":0.004759702,"about_ca_topic_score_gemma":0.007367381,"teacher_disagreement_score":0.012212181,"about_ca_system_score_codex":0.001609902,"about_ca_system_score_gemma":0.0035173362,"threshold_uncertainty_score":0.040853858},"labels":[],"label_agreement":null},{"id":"W4307555329","doi":"10.3390/en15217923","title":"Exact Feedback Linearization of a Multi-Variable Controller for a Bi-Directional DC-DC Converter as Interface of an Energy Storage System","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Inductor; Feedback linearization; Buck–boost converter; Controller (irrigation); Energy storage; Converters; Boost converter; Voltage; Power (physics); Buck converter; Computer science; Engineering; Electrical engineering; Control (management); Physics","score_opus":0.005930829914131367,"score_gpt":0.20320656927196776,"score_spread":0.19727573935783638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307555329","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09350184,0.0004361315,0.8892685,0.00015019697,0.00014144432,0.00016017184,0.00006120315,0.0016511752,0.014629336],"genre_scores_gemma":[0.9760715,0.00010667738,0.020548068,0.000033340846,0.000013882451,0.00007375871,0.000024469991,0.000011570541,0.0031167672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983835,0.000025434245,0.000012475689,0.000037372232,0.000070334914,0.00001593226],"domain_scores_gemma":[0.9999057,0.000018718349,0.000019078218,0.0000151867525,0.000036135654,0.000005197848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021244897,0.00038195748,0.0002739441,0.00018997771,0.00032614803,0.0006150972,0.00059993454,0.00032007057,0.0022349323],"category_scores_gemma":[0.00020867567,0.00017813758,0.00027799173,0.00015072858,0.00025820304,0.00028276668,0.00031308827,0.00053808204,0.00044483808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052535546,0.00024121208,0.0010079502,0.0006529723,0.0001320268,0.00049157545,0.00050783093,0.5554475,0.26409236,0.019877821,0.0026793242,0.15434405],"study_design_scores_gemma":[0.00002301062,0.0002334132,0.00026463487,0.000016317921,0.000016741253,0.00006206584,0.000016502496,0.97675145,0.01963565,0.0006448612,0.002325367,0.0000100028565],"about_ca_topic_score_codex":0.0021144412,"about_ca_topic_score_gemma":0.001698018,"teacher_disagreement_score":0.0022349323,"about_ca_system_score_codex":0.0003100052,"about_ca_system_score_gemma":0.00039184245,"threshold_uncertainty_score":0.007476628},"labels":[],"label_agreement":null},{"id":"W4307555824","doi":"10.3390/en15217919","title":"Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Scheduling (production processes); Public transport; Grid; Crew scheduling; Computer science; Transport engineering; Operations research; Engineering; Operations management","score_opus":0.01464404396735422,"score_gpt":0.25546343070955163,"score_spread":0.2408193867421974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307555824","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":[0.0004086851,0.99580365,0.0011641167,0.00037201605,0.00025222977,0.000010116331,0.000036192818,0.000012176538,0.0019409459],"genre_scores_gemma":[0.0031470605,0.99508154,0.00086574134,0.00011734364,0.00031333207,0.000009675009,0.000058668327,0.0000055791515,0.00040100404],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942905,0.00013485826,0.00008846962,0.00011187993,0.00018809999,0.00004750192],"domain_scores_gemma":[0.9968352,0.0021921347,0.00029687738,0.000054564778,0.00055042084,0.00007090257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010815638,0.0010912305,0.0011229154,0.0029457074,0.00042563476,0.002048277,0.001081006,0.0012982665,0.003951224],"category_scores_gemma":[0.0031455962,0.00058086106,0.0009948607,0.006908119,0.00042768626,0.0023892291,0.00062913017,0.0009826162,0.0010317502],"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":[0.000103571314,0.00015999636,0.0012457446,0.045759033,0.00027188074,0.0002672297,0.00030043354,0.008633759,0.0006866441,0.022147754,0.0359277,0.8844963],"study_design_scores_gemma":[0.000018472627,0.00023722708,0.002865817,0.020984448,0.0006648726,0.00092886033,0.0005757978,0.0042197253,0.00067112874,0.011666563,0.9570821,0.00008499645],"about_ca_topic_score_codex":0.0060072104,"about_ca_topic_score_gemma":0.0050936528,"teacher_disagreement_score":0.0060072104,"about_ca_system_score_codex":0.0010477987,"about_ca_system_score_gemma":0.0032198464,"threshold_uncertainty_score":0.013218164},"labels":[],"label_agreement":null},{"id":"W4308120132","doi":"10.3390/en15218141","title":"Outdoor Insulation and Gas-Insulated Switchgears","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Switchgear; Forensic engineering; Environmental science; Engineering; Automotive engineering; Materials science; Electrical engineering","score_opus":0.007869631018658016,"score_gpt":0.2063226348049151,"score_spread":0.1984530037862571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308120132","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":[0.1809946,0.30889365,0.0470919,0.0074515357,0.0065439576,0.00006580606,0.00045155996,0.00056006457,0.44794688],"genre_scores_gemma":[0.7336976,0.10123753,0.0069495696,0.0014907178,0.0018234738,0.000029543386,0.00054838456,0.00011238858,0.15411082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998565,0.0000137812685,0.0000031271966,0.00004103472,0.00004582087,0.000039803712],"domain_scores_gemma":[0.99993277,0.000016871656,0.000011357317,0.0000093216,0.000016631153,0.000013052796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111959605,0.00039068022,0.00021303294,0.00037953127,0.00057821267,0.0011226161,0.00042709065,0.0008711735,0.006777614],"category_scores_gemma":[0.00017648865,0.00014204043,0.00021159687,0.0004895367,0.00068330724,0.0011626058,0.00053811225,0.0006559435,0.0015495052],"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":[0.000347047,0.00020334698,0.003650978,0.002372646,0.00009497985,0.0029313148,0.00094551616,0.009628471,0.12990928,0.43317074,0.059972268,0.35677335],"study_design_scores_gemma":[0.0000111643585,0.0003221689,0.005877268,0.00032532893,0.000039159968,0.003496272,0.00092389336,0.0035905442,0.06350062,0.066589385,0.8552836,0.000040511844],"about_ca_topic_score_codex":0.0012879733,"about_ca_topic_score_gemma":0.0015475663,"teacher_disagreement_score":0.006777614,"about_ca_system_score_codex":0.00032507363,"about_ca_system_score_gemma":0.00023828461,"threshold_uncertainty_score":0.022673368},"labels":[],"label_agreement":null},{"id":"W4308123686","doi":"10.3390/en15218078","title":"Energy and Exergy Analysis on a Blast Furnace Gas-Driven Cascade Power Cycle","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Brayton cycle; Blast furnace gas; Supercritical fluid; Rankine cycle; Exergy efficiency; Process engineering; Exergy; Organic Rankine cycle; Combined cycle; Electricity generation; Thermal efficiency; Combustion; Blast furnace; Nuclear engineering; Environmental science; Turbine; Engineering; Power (physics); Materials science; Chemistry; Mechanical engineering; Thermodynamics; Metallurgy","score_opus":0.0032620727729268583,"score_gpt":0.18539225013221056,"score_spread":0.1821301773592837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308123686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804796,0.00017465554,0.008416869,0.00003659705,0.000011902666,0.00005554219,0.00037796667,0.00008317951,0.010363662],"genre_scores_gemma":[0.9981585,0.00004938566,0.000525429,0.0000027477547,0.0000012801739,0.000013509686,0.00008572448,0.0000064506785,0.0011569478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995124,0.0000053599397,0.0000018903252,0.000009475271,0.000023205375,0.000008804324],"domain_scores_gemma":[0.9999608,0.000017076045,0.000003129247,0.0000032601022,0.000010823618,0.000004934692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007564557,0.00042387706,0.00054580934,0.00041405653,0.00044684813,0.00030981287,0.00040860928,0.00035263086,0.003457967],"category_scores_gemma":[0.00016691328,0.00015455115,0.0004352159,0.0004536181,0.0002973744,0.0003426075,0.00020630717,0.00024297304,0.00019669399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035250475,0.0001283794,0.0047274246,0.00021270761,0.000043623604,0.0006157711,0.00006599387,0.9227056,0.057068143,0.002738763,0.000438884,0.010902248],"study_design_scores_gemma":[0.000025364998,0.00014318991,0.004748813,0.000003874318,0.000012035746,0.000046014735,0.000027103371,0.9847215,0.009316933,0.0005439743,0.00040083492,0.000010312544],"about_ca_topic_score_codex":0.010640296,"about_ca_topic_score_gemma":0.0075259265,"teacher_disagreement_score":0.010640296,"about_ca_system_score_codex":0.00047696484,"about_ca_system_score_gemma":0.00043932267,"threshold_uncertainty_score":0.021156728},"labels":[],"label_agreement":null},{"id":"W4308507499","doi":"10.3390/en15218300","title":"The Comprehensive Overview of Large-Volume Surfactant Slugs Injection for Enhancing Oil Recovery: Status and the Outlook","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":32,"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":"Pulmonary surfactant; Enhanced oil recovery; Petroleum engineering; Environmental science; Fossil fuel; Chemistry; Process engineering; Waste management; Chemical engineering; Engineering","score_opus":0.01187131048198863,"score_gpt":0.24491582200856116,"score_spread":0.23304451152657252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308507499","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":[0.0026148646,0.9849978,0.0044732136,0.0007372442,0.000385644,0.000053016924,0.00010822684,0.00007694622,0.0065529],"genre_scores_gemma":[0.009282613,0.98278034,0.00424145,0.00043824906,0.00040642984,0.000045398003,0.00020423249,0.000019436355,0.0025819165],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995714,0.000064886466,0.00006115153,0.00008686828,0.00016482375,0.000050934726],"domain_scores_gemma":[0.99937844,0.00020315328,0.00010349825,0.0000259636,0.00024404377,0.000044857054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188378,0.0009684866,0.0008513275,0.0023154633,0.0003549062,0.0016068651,0.0006210024,0.0013530182,0.0030255413],"category_scores_gemma":[0.00069256284,0.0005216542,0.00081285636,0.002085615,0.0003864858,0.0026005816,0.0007211792,0.0012366663,0.0015630316],"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":[0.00019250385,0.00033122595,0.00086145895,0.024081556,0.000101787096,0.00026114815,0.00015689651,0.0019049415,0.027118595,0.012221327,0.016739842,0.9160286],"study_design_scores_gemma":[0.000023656645,0.0013102336,0.0021122182,0.0042597163,0.00031894745,0.0010015297,0.00026145534,0.0026285464,0.032785334,0.0046929303,0.95049435,0.000111234294],"about_ca_topic_score_codex":0.0010020011,"about_ca_topic_score_gemma":0.0009156443,"teacher_disagreement_score":0.0030255413,"about_ca_system_score_codex":0.00057573855,"about_ca_system_score_gemma":0.0013686664,"threshold_uncertainty_score":0.010121405},"labels":[],"label_agreement":null},{"id":"W4308507728","doi":"10.3390/en15228325","title":"Turbulence Modeling of Iced Wind Turbine Airfoils","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Rimouski","funders":"","keywords":"Airfoil; Aerodynamics; Icing conditions; Turbulence; Icing; Turbine; Computational fluid dynamics; Marine engineering; Meteorology; Aerospace engineering; Turbulence modeling; Environmental science; Mechanics; Engineering; Physics","score_opus":0.009911808647509238,"score_gpt":0.18814262230925946,"score_spread":0.17823081366175023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308507728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7654839,0.00076990394,0.22175759,0.00015892685,0.00013050096,0.00010742429,0.00045095265,0.00039369863,0.010747153],"genre_scores_gemma":[0.99301577,0.00020296172,0.0053004837,0.000011853841,0.000011536943,0.000030909574,0.00013342366,0.000017129083,0.0012759507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998913,0.000017928256,0.000009776003,0.000019641686,0.00003653031,0.00002485434],"domain_scores_gemma":[0.9998604,0.000036720732,0.0000302546,0.000013600776,0.00004679239,0.000012170583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015331354,0.00044686775,0.00044181652,0.00033728755,0.00035366527,0.0006230554,0.000627319,0.00055861304,0.00050203706],"category_scores_gemma":[0.00043779865,0.00016858298,0.0005329306,0.0002261528,0.00036592004,0.00033601787,0.00027689742,0.0003278752,0.00012685734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037995505,0.000029339039,0.001861399,0.000032958313,0.000010652815,0.0001509017,0.0000441461,0.9816798,0.011430606,0.0011091578,0.00015883074,0.0034542785],"study_design_scores_gemma":[0.0000030734066,0.000014677485,0.0006636748,0.0000027881072,0.0000019896006,0.000012126635,0.000007306308,0.9981881,0.00086960016,0.00006767333,0.00016507148,0.000003872137],"about_ca_topic_score_codex":0.014802311,"about_ca_topic_score_gemma":0.004247224,"teacher_disagreement_score":0.014802311,"about_ca_system_score_codex":0.0004511259,"about_ca_system_score_gemma":0.00047384325,"threshold_uncertainty_score":0.029432297},"labels":[],"label_agreement":null},{"id":"W4308510064","doi":"10.3390/en15228341","title":"High-Voltage Engineering and Applications in Our Modern Society","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Volt; Electrical engineering; Voltage; High voltage; Electric potential energy; Engineering physics; Engineering; Optoelectronics; Energy (signal processing); Materials science; Physics","score_opus":0.007066940961244748,"score_gpt":0.21045692305529778,"score_spread":0.20338998209405304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308510064","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":[0.012188069,0.3279048,0.014419158,0.05631777,0.013477359,0.00006207724,0.0001800487,0.0003775806,0.5750731],"genre_scores_gemma":[0.19929616,0.3095723,0.02141161,0.012490733,0.011183206,0.000073427094,0.00031151786,0.00024064086,0.44542035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950707,0.00008823376,0.000024371755,0.000054614746,0.0002668635,0.000058772886],"domain_scores_gemma":[0.9994947,0.000103573984,0.00004233559,0.00005755504,0.00019973073,0.000102181795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006634491,0.00039034514,0.00025757038,0.0006634406,0.0014353647,0.003297451,0.00047544081,0.0015313952,0.021253526],"category_scores_gemma":[0.0008623769,0.00014299659,0.0001469334,0.0013203394,0.0018172772,0.0030388273,0.0018186495,0.0020160011,0.006877036],"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":[0.000028121554,0.0000609874,0.0008328817,0.000567506,0.00001123693,0.00024980545,0.00079450716,0.0004942001,0.0062853447,0.48157856,0.17276385,0.3363331],"study_design_scores_gemma":[0.0000010401868,0.000024106328,0.00035797388,0.00025829347,0.0000020809998,0.00026223593,0.00029917626,0.00013791899,0.00066885434,0.03462034,0.96336085,0.00000725192],"about_ca_topic_score_codex":0.0005686225,"about_ca_topic_score_gemma":0.0012430666,"teacher_disagreement_score":0.021253526,"about_ca_system_score_codex":0.00093052356,"about_ca_system_score_gemma":0.0013268953,"threshold_uncertainty_score":0.071100116},"labels":[],"label_agreement":null},{"id":"W4308718594","doi":"10.3390/en15218082","title":"An Overview of Environment-Friendly Refrigerants for Domestic Air Conditioning Applications","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":34,"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":"Refrigerant; Montreal Protocol; Air conditioning; Refrigeration; Vapor-compression refrigeration; Environmental science; Global warming; Global-warming potential; HVAC; Ozone layer; Environmentally friendly; Process engineering; Environmental economics; Waste management; Greenhouse gas; Engineering; Climate change; Meteorology; Ozone; Mechanical engineering; Economics; Geography; Heat exchanger; Ecology","score_opus":0.020117838523557294,"score_gpt":0.2743809353738895,"score_spread":0.2542630968503322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308718594","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":[0.006294339,0.95946014,0.008452884,0.0005938612,0.0004223146,0.00009531453,0.0002285635,0.00011165715,0.024341045],"genre_scores_gemma":[0.027996086,0.94672346,0.012883285,0.0004554541,0.00063516694,0.00013909496,0.00043221368,0.000040642797,0.010694664],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996445,0.000044095083,0.00004619468,0.00007851807,0.00014600411,0.000040649615],"domain_scores_gemma":[0.9997727,0.00006918014,0.000039603718,0.000013906403,0.000090815105,0.000013813034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044338644,0.00091418193,0.0005067149,0.0022276498,0.0003919024,0.00090554525,0.000599691,0.0009918635,0.0046699164],"category_scores_gemma":[0.00030341826,0.00045502456,0.0007489674,0.0017866531,0.00020983968,0.0015620808,0.00061146007,0.0009716001,0.0024361832],"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":[0.00015925153,0.0002965056,0.0009506057,0.019041566,0.000077626035,0.00039626463,0.00015545408,0.0033966925,0.06607567,0.019380838,0.019115677,0.87095386],"study_design_scores_gemma":[0.000007683639,0.0005712332,0.0014096537,0.0013451094,0.000073803014,0.001117488,0.0000710627,0.0018611725,0.02015048,0.002206468,0.9711444,0.000041458683],"about_ca_topic_score_codex":0.0007938112,"about_ca_topic_score_gemma":0.0010462153,"teacher_disagreement_score":0.0046699164,"about_ca_system_score_codex":0.00044596812,"about_ca_system_score_gemma":0.0005852166,"threshold_uncertainty_score":0.015622377},"labels":[],"label_agreement":null},{"id":"W4308872798","doi":"10.3390/en15228406","title":"A Comprehensive Review on a Virtual-Synchronous Generator: Topologies, Control Orders and Techniques, Energy Storages, and Applications","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Sultan Qaboos University","keywords":"Electric power system; Permanent magnet synchronous generator; Automatic frequency control; Dynamic demand; Inertia; Computer science; Power control; Converters; Renewable energy; Grid; Software deployment; Energy storage; Distributed generation; Power (physics); Engineering; Control engineering; Electrical engineering; Physics","score_opus":0.013591014571705832,"score_gpt":0.23946308979641254,"score_spread":0.2258720752247067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308872798","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":[0.00023783506,0.99594563,0.00066624105,0.00020148796,0.00026363373,0.000010431244,0.00005552562,0.000016108086,0.002603033],"genre_scores_gemma":[0.0016411658,0.9960562,0.0007556274,0.00015072116,0.00019925216,0.000011874293,0.00009127676,0.000005214189,0.0010887445],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999826,0.00002498237,0.00003385909,0.00003962842,0.00006235627,0.000013163993],"domain_scores_gemma":[0.9996699,0.00016897934,0.00005647299,0.000013916302,0.000073683404,0.000017076924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037322467,0.0011373406,0.0011377627,0.0022524998,0.00026208686,0.0009832905,0.0008023798,0.00083648716,0.006468642],"category_scores_gemma":[0.0006901096,0.00042149896,0.0006629296,0.003012916,0.0003001175,0.0015248655,0.00048022647,0.0010200726,0.0023358425],"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":[0.00007636272,0.00009606132,0.00017962646,0.04769482,0.0001253807,0.00017724851,0.00007231298,0.00171301,0.003121717,0.008806206,0.03754293,0.9003944],"study_design_scores_gemma":[0.00000953729,0.00010795562,0.00053980795,0.005174956,0.00017240352,0.00072158617,0.00004126115,0.00027495384,0.0006993953,0.0022478164,0.9899851,0.000025153113],"about_ca_topic_score_codex":0.001021259,"about_ca_topic_score_gemma":0.0015351818,"teacher_disagreement_score":0.006468642,"about_ca_system_score_codex":0.00033206312,"about_ca_system_score_gemma":0.001013113,"threshold_uncertainty_score":0.021639824},"labels":[],"label_agreement":null},{"id":"W4308971685","doi":"10.3390/en15228441","title":"Optimizing Current Profiles for Efficient Online Estimation of Battery Equivalent Circuit Model Parameters Based on Cramer–Rao Lower Bound","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internal resistance; Battery (electricity); Voltage; Equivalent circuit; Identification (biology); Reliability (semiconductor); Open-circuit voltage; Engineering; State of charge; Control theory (sociology); Computer science; Electronic engineering; Reliability engineering; Electrical engineering; Power (physics); Physics","score_opus":0.0470414202464723,"score_gpt":0.30069224663482913,"score_spread":0.25365082638835684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308971685","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003080941,0.000373822,0.9943129,0.000076711374,0.000017407901,0.00003611204,0.00003615422,0.00057584036,0.0014901574],"genre_scores_gemma":[0.41785267,0.0013793238,0.5741283,0.00030084304,0.00010245254,0.00035851632,0.000703802,0.00042699536,0.004747095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990393,0.0002210017,0.000060213435,0.00019232352,0.0003763957,0.00011079425],"domain_scores_gemma":[0.9982054,0.0009078427,0.00013805387,0.00017870167,0.00052095624,0.00004901224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011975254,0.0017649579,0.0016176616,0.00096884737,0.00060027314,0.0016757383,0.0013227604,0.0011224584,0.003706277],"category_scores_gemma":[0.007973472,0.000760709,0.00085571595,0.001063099,0.0007214497,0.002045537,0.0011432806,0.0019400923,0.0027358124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002326834,0.00013191397,0.0009718914,0.0003620492,0.00006968084,0.000108814245,0.00019520569,0.70768315,0.016733501,0.011302328,0.004649345,0.25755936],"study_design_scores_gemma":[0.000008690081,0.00003084402,0.0002134264,0.000020173042,0.000009305011,0.00004763454,0.000015269088,0.9934864,0.0026371828,0.0024204522,0.0010972905,0.000013305647],"about_ca_topic_score_codex":0.009198046,"about_ca_topic_score_gemma":0.009025809,"teacher_disagreement_score":0.009198046,"about_ca_system_score_codex":0.00079867936,"about_ca_system_score_gemma":0.00217446,"threshold_uncertainty_score":0.01828903},"labels":[],"label_agreement":null},{"id":"W4309121639","doi":"10.3390/en15228553","title":"Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wind Energy Institute of Canada","funders":"National Aeronautics and Space Administration; Energiteknologisk udviklings- og demonstrationsprogram; Sight Research UK; Natural Environment Research Council; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Wind power; Wind speed; Aerodynamics; Precipitation; Turbine; Meteorology; Turbine blade; Computer science; Aerospace engineering; Engineering; Physics","score_opus":0.033127206609930765,"score_gpt":0.2981363502409748,"score_spread":0.265009143631044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309121639","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":[0.00027033032,0.99737155,0.0002617147,0.0012895858,0.0003561817,0.0000128973525,0.00014396568,0.000011086195,0.0002826539],"genre_scores_gemma":[0.0015576784,0.9970284,0.00029800757,0.00041974994,0.00038477703,0.000019598563,0.0001400599,0.0000035833555,0.00014812601],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931693,0.0001293608,0.00017335778,0.0001863867,0.00013307047,0.000060947816],"domain_scores_gemma":[0.9937448,0.0037508896,0.00087496534,0.00012150093,0.0013217543,0.0001861181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032024253,0.0012748756,0.0030891267,0.0036319157,0.00047514247,0.002449346,0.0019827688,0.0021019473,0.0055159167],"category_scores_gemma":[0.005566532,0.0007224139,0.0032072573,0.0042829155,0.0007140539,0.0036027795,0.0011274371,0.002126031,0.0013523175],"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":[0.00026937496,0.00017422816,0.005540943,0.20003547,0.0015500201,0.00036482755,0.00034249094,0.0019243716,0.00090919726,0.0076221838,0.049460776,0.7318061],"study_design_scores_gemma":[0.000087493674,0.00037995298,0.02165129,0.13727905,0.006068546,0.0010980389,0.0012820112,0.0015513093,0.0006487561,0.0131195085,0.81661266,0.00022138296],"about_ca_topic_score_codex":0.009168457,"about_ca_topic_score_gemma":0.009618197,"teacher_disagreement_score":0.009168457,"about_ca_system_score_codex":0.0013066734,"about_ca_system_score_gemma":0.0065872343,"threshold_uncertainty_score":0.018452525},"labels":[],"label_agreement":null},{"id":"W4309211393","doi":"10.3390/en15228497","title":"Computational Tool to Support the Decision in the Selection of Alternative and/or Sustainable Refrigerants","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","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":"Refrigerant; Sustainability; Global warming; Environmental economics; Greenhouse gas; Montreal Protocol; Environmental impact assessment; Environmental science; Sustainable development; Natural resource economics; Ozone layer; Climate change; Business; Engineering; Economics; Chemistry; Ozone","score_opus":0.010041044297629321,"score_gpt":0.2489123055007373,"score_spread":0.238871261203108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309211393","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":[0.09716369,0.00014299288,0.8762866,0.0006790232,0.00013992071,0.00030909167,0.001707318,0.0053380136,0.018233333],"genre_scores_gemma":[0.571149,0.00019593805,0.4210023,0.0002470458,0.00004319357,0.0008774235,0.0018350948,0.00020595429,0.0044441074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999671,0.000107528605,0.000032967182,0.00006675367,0.00008026201,0.000041447747],"domain_scores_gemma":[0.9984273,0.001195195,0.000078349054,0.00006180732,0.00017938965,0.000058083926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074882753,0.00095464895,0.0008319411,0.00073108834,0.0005251542,0.0014122872,0.0011542932,0.0011675433,0.010659479],"category_scores_gemma":[0.0033670908,0.00031053618,0.0008336886,0.00052198797,0.0003767668,0.0007314337,0.0010532606,0.00079498754,0.0009029073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019615084,0.00015512768,0.0019876559,0.00022782535,0.000056928046,0.0002181166,0.00009626991,0.93905056,0.0017190782,0.00870322,0.0027965799,0.04479255],"study_design_scores_gemma":[0.000022990156,0.000018581899,0.00009058889,0.000011423404,0.000009447693,0.000010601408,0.000021184816,0.9964856,0.0005003872,0.0017883796,0.001036499,0.0000042334404],"about_ca_topic_score_codex":0.005221027,"about_ca_topic_score_gemma":0.0037926948,"teacher_disagreement_score":0.010659479,"about_ca_system_score_codex":0.0005000784,"about_ca_system_score_gemma":0.0016170216,"threshold_uncertainty_score":0.03565955},"labels":[],"label_agreement":null},{"id":"W4309213926","doi":"10.3390/en15228525","title":"Microgrid Energy Management and Methods for Managing Forecast Uncertainties","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Renewable energy; Microgrid; Environmental economics; Electricity generation; Energy management; Fossil fuel; Intermittent energy source; Energy storage; Electricity; Energy engineering; Distributed generation; Environmental science; Engineering; Energy (signal processing); Economics; Power (physics); Waste management","score_opus":0.005546610083607112,"score_gpt":0.22269275175247985,"score_spread":0.21714614166887275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309213926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004686614,0.0039156293,0.9821299,0.00026335742,0.00010314582,0.00008658408,0.00009210983,0.0003293092,0.00839331],"genre_scores_gemma":[0.69023615,0.010885631,0.28822446,0.00016310292,0.00044622336,0.0003743388,0.00032144893,0.00013003462,0.00921851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966836,0.000084508116,0.000032992353,0.000060513015,0.0001285714,0.000024996636],"domain_scores_gemma":[0.99962103,0.00015877392,0.000066050605,0.000041444728,0.000102247155,0.000010451284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074009504,0.0010545886,0.000783802,0.00080230413,0.0004750347,0.0013842791,0.001012752,0.0005542369,0.0022131957],"category_scores_gemma":[0.0013236483,0.00031697768,0.0005731775,0.0009941999,0.00036386226,0.0012341153,0.0009650132,0.00078595686,0.0003552499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000605266,0.00004436878,0.00076365646,0.0005771142,0.000118476506,0.00011966155,0.00016377754,0.6338944,0.003168791,0.0349994,0.00306962,0.32302022],"study_design_scores_gemma":[0.000010866567,0.000047614958,0.0004198757,0.000086299755,0.000031279855,0.00007896844,0.00007385722,0.96948975,0.0017806771,0.018068952,0.009889647,0.000022245646],"about_ca_topic_score_codex":0.0030376704,"about_ca_topic_score_gemma":0.003365819,"teacher_disagreement_score":0.0030376704,"about_ca_system_score_codex":0.0005403725,"about_ca_system_score_gemma":0.0006746809,"threshold_uncertainty_score":0.00740391},"labels":[],"label_agreement":null},{"id":"W4309460812","doi":"10.3390/en15228613","title":"Potential Application of Canola Hull Fuel Pellets for the Production of Synthesis Gas and Hydrogen","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Memorial University of Newfoundland","funders":"BioFuelNet Canada","keywords":"Syngas; Pellets; Steam reforming; Biomass (ecology); Waste management; Carbon monoxide; Hydrogen; Water-gas shift reaction; Fuel gas; Hydrogen production; Producer gas; Chemistry; Pulp and paper industry; Chemical engineering; Materials science; Combustion; Catalysis; Organic chemistry; Engineering","score_opus":0.0058701255452469235,"score_gpt":0.1889038389128005,"score_spread":0.18303371336755356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309460812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510008,0.018256074,0.014682307,0.0008329047,0.00019065278,0.00007822352,0.00040150178,0.00028820644,0.014269195],"genre_scores_gemma":[0.9835881,0.0061039585,0.0066048484,0.00005270242,0.000024825205,0.000023241902,0.00022392964,0.000035097204,0.0033432452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993324,0.000008652968,0.000003685731,0.00001171924,0.000026607,0.000016149263],"domain_scores_gemma":[0.9999571,0.000010199394,0.000006399171,0.0000058189376,0.00001216807,0.000008325677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014403569,0.00053171744,0.00016442343,0.0006107742,0.00015462471,0.00049121614,0.0002618643,0.00033575337,0.0012415053],"category_scores_gemma":[0.00014572883,0.00013621054,0.0003237447,0.00042212,0.00014927083,0.00042533563,0.00030453026,0.00029468365,0.000477268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019585378,0.000062624895,0.00056717644,0.00033636217,0.000024477484,0.0004884918,0.00003314704,0.0007626579,0.96627533,0.0008688534,0.0002564701,0.030128697],"study_design_scores_gemma":[0.000010352316,0.00024562867,0.0011931737,0.00002369131,0.000026364714,0.0002293287,0.000058267415,0.001678012,0.98675597,0.00022834817,0.009539061,0.000011856114],"about_ca_topic_score_codex":0.0004763744,"about_ca_topic_score_gemma":0.0014810157,"teacher_disagreement_score":0.0012415053,"about_ca_system_score_codex":0.00023139369,"about_ca_system_score_gemma":0.00016729583,"threshold_uncertainty_score":0.0041532516},"labels":[],"label_agreement":null},{"id":"W4309587907","doi":"10.3390/en15238778","title":"TADA: A Transferable Domain-Adversarial Training for Smart Grid Intrusion Detection Based on Ensemble Divergence Metrics and Spatiotemporal Features","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Transfer of learning; Adversarial system; Artificial intelligence; Divergence (linguistics); Robustness (evolution); Machine learning; Grid; Data mining; Transferability; Domain (mathematical analysis); Training set; Intrusion detection system; Pattern recognition (psychology); Mathematics","score_opus":0.018522758466399426,"score_gpt":0.22082518254692168,"score_spread":0.20230242408052226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309587907","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031473435,0.0004755347,0.96450937,0.000249138,0.00009268697,0.000064568405,0.00008212565,0.0016852096,0.0013679552],"genre_scores_gemma":[0.8875193,0.0002681763,0.10874906,0.00027968595,0.000057417965,0.00012941805,0.00029524585,0.000109400375,0.0025921976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937457,0.00019533074,0.000038585793,0.00015990362,0.00015184919,0.00007972663],"domain_scores_gemma":[0.99871194,0.00065453496,0.00014207639,0.00016871715,0.00024853347,0.00007415746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015088315,0.0011083215,0.00095735193,0.0005955819,0.00028482897,0.0006142731,0.0012604449,0.0007919778,0.0011299078],"category_scores_gemma":[0.003801452,0.0003294368,0.0006863817,0.00039449194,0.00071305764,0.0013062161,0.0016949446,0.002091763,0.0003424725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016564634,0.00014877811,0.0032958842,0.00007106737,0.00013816162,0.00012510762,0.0000729333,0.78394514,0.006994683,0.0047967643,0.0028303743,0.19741544],"study_design_scores_gemma":[0.0000022383038,0.000033384633,0.0001579978,0.0000026257896,0.0000047711383,0.000018501229,0.000003405593,0.9976922,0.00089564663,0.0009860587,0.00019917727,0.000003980156],"about_ca_topic_score_codex":0.0025364922,"about_ca_topic_score_gemma":0.002175436,"teacher_disagreement_score":0.0025364922,"about_ca_system_score_codex":0.0006241716,"about_ca_system_score_gemma":0.00068739994,"threshold_uncertainty_score":0.007979572},"labels":[],"label_agreement":null},{"id":"W4309587960","doi":"10.3390/en15238783","title":"Virtual Collection for Distributed Photovoltaic Data: Challenges, Methodologies, and Applications","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Tianjin University; National Natural Science Foundation of China","keywords":"Data collection; Computer science; Photovoltaic system; Data science; Systems engineering; Risk analysis (engineering); Engineering; Electrical engineering","score_opus":0.10686710142706989,"score_gpt":0.3138752688519605,"score_spread":0.2070081674248906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309587960","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":[0.005662187,0.025155319,0.96079224,0.00181498,0.00025458372,0.00027220222,0.00046187008,0.0005234515,0.005063014],"genre_scores_gemma":[0.28479767,0.0517685,0.6556043,0.0009329062,0.0011025047,0.00070041395,0.002326056,0.00030682745,0.0024607782],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99271774,0.00359563,0.0005274312,0.0010696134,0.0019136975,0.00017582826],"domain_scores_gemma":[0.9857615,0.00907754,0.0008722678,0.0020790193,0.0020391692,0.00017043216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072793984,0.0009796629,0.001488167,0.0035932984,0.0010389665,0.0048142555,0.0036637606,0.0013330582,0.0017336913],"category_scores_gemma":[0.020789409,0.000602142,0.0013734597,0.0070575243,0.001674295,0.0066670207,0.002838871,0.0017062188,0.0006154376],"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":[0.00008653738,0.0001128615,0.00518203,0.0035543367,0.00033204025,0.00019895028,0.0007617327,0.053619195,0.0018303685,0.0953184,0.00804096,0.8309626],"study_design_scores_gemma":[0.00006292997,0.0002696597,0.007076137,0.003619252,0.0003603325,0.0011509288,0.0033447847,0.46575812,0.007826267,0.32174352,0.1885723,0.00021580842],"about_ca_topic_score_codex":0.0031451986,"about_ca_topic_score_gemma":0.0024706821,"teacher_disagreement_score":0.0072793984,"about_ca_system_score_codex":0.0011532282,"about_ca_system_score_gemma":0.002308413,"threshold_uncertainty_score":0.038497567},"labels":[],"label_agreement":null},{"id":"W4309589207","doi":"10.3390/en15238787","title":"Renewable Electricity and Hydrogen Production via Decentralized Wastewater Treatment Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wastewater; Renewable energy; Environmental science; Sewage treatment; Microbial fuel cell; Electrolysis; Electricity; Hydrogen production; Waste management; Microbial electrolysis cell; Power to gas; Environmental engineering; Process engineering; Electricity generation; Engineering; Chemistry; Hydrogen","score_opus":0.006835834747071387,"score_gpt":0.18020461621307263,"score_spread":0.17336878146600124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309589207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620132,0.0004851731,0.032106407,0.00012071756,0.00002240525,0.000045085588,0.00018444535,0.00019677538,0.0048258645],"genre_scores_gemma":[0.9954288,0.00012753198,0.002972161,0.000008871591,0.000004250223,0.000013561248,0.000055756005,0.0000032692647,0.0013857527],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998989,0.00001720338,0.000003769165,0.000023642853,0.000038385177,0.000018017232],"domain_scores_gemma":[0.9999505,0.00000998788,0.000010982667,0.0000058983596,0.000014199444,0.000008421322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011661036,0.00022405441,0.00031836657,0.00019315902,0.00025751835,0.00033944755,0.00035792153,0.0003460909,0.0008738097],"category_scores_gemma":[0.00013674005,0.00012235297,0.00022126255,0.00027502127,0.00016833015,0.0002938535,0.00024224947,0.00021521437,0.0002148736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036664712,0.00027644227,0.0036189584,0.0003117465,0.00002884545,0.00025098544,0.000053461838,0.11872207,0.8229022,0.0026671716,0.00062885013,0.05017262],"study_design_scores_gemma":[0.00024441825,0.0010531424,0.012464988,0.000021856242,0.000044362147,0.00019268734,0.0001344746,0.34633482,0.62550944,0.0030683167,0.010883643,0.00004791443],"about_ca_topic_score_codex":0.005384391,"about_ca_topic_score_gemma":0.009907382,"teacher_disagreement_score":0.005384391,"about_ca_system_score_codex":0.00072126894,"about_ca_system_score_gemma":0.00045599393,"threshold_uncertainty_score":0.010706067},"labels":[],"label_agreement":null},{"id":"W4309603512","doi":"10.3390/en15228578","title":"Formulation and Data-Driven Optimization for Maximizing the Photovoltaic Power with Tilt Angle Adjustment","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Photovoltaic system; Irradiance; Tilt (camera); Power (physics); Solar irradiance; Wind speed; Computer science; Simulation; Environmental science; Automotive engineering; Engineering; Meteorology; Optics; Electrical engineering; Mechanical engineering; Physics","score_opus":0.025421246922483584,"score_gpt":0.24959346444818784,"score_spread":0.22417221752570426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309603512","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027430391,0.00030337286,0.9653938,0.00032980033,0.000055926215,0.00006892044,0.00014093761,0.00015463313,0.0061221584],"genre_scores_gemma":[0.85297257,0.00041441334,0.13976438,0.00017043258,0.000072009025,0.0004094654,0.0002862089,0.0001442313,0.0057662763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973875,0.000079374615,0.000013284782,0.000059136593,0.000074081436,0.00003532757],"domain_scores_gemma":[0.9993678,0.00038882822,0.000053760272,0.000018050903,0.00015520013,0.000016357943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091512577,0.00089156796,0.0008355312,0.00037727953,0.00024713107,0.0009797983,0.00064927764,0.0010137033,0.0020114875],"category_scores_gemma":[0.0019769648,0.00061327807,0.00065067544,0.00053735473,0.0005097893,0.00074371847,0.0006688547,0.0010319233,0.00020260931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057765915,0.0000074059035,0.0000829287,0.000015373718,0.0000050814665,0.00001269907,0.0000054244115,0.9962936,0.00024339814,0.0011414442,0.000099370765,0.0020874983],"study_design_scores_gemma":[0.000001599024,0.0000051758943,0.000021281054,0.0000014114379,0.0000012012478,0.0000013365508,0.0000016532048,0.99936694,0.000085897715,0.0004444098,0.00006816031,9.889885e-7],"about_ca_topic_score_codex":0.0076418337,"about_ca_topic_score_gemma":0.0064502014,"teacher_disagreement_score":0.0076418337,"about_ca_system_score_codex":0.0010808953,"about_ca_system_score_gemma":0.0015457636,"threshold_uncertainty_score":0.015194654},"labels":[],"label_agreement":null},{"id":"W4309683051","doi":"10.3390/en15228668","title":"High-Performance and Parallel Computing Techniques Review: Applications, Challenges and Potentials to Support Net-Zero Transition of Future Grids","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Cloud computing; Computer science; Electrification; Smart grid; Distributed computing; Standardization; Grid; Grid computing; Data science; Renewable energy; Systems engineering; Electrical engineering; Engineering; Electricity","score_opus":0.004481900702037865,"score_gpt":0.1894756439712483,"score_spread":0.18499374326921045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309683051","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":[0.00054583116,0.9898022,0.002373402,0.0012258944,0.0016791157,0.000015184984,0.00004672899,0.00005135897,0.0042602615],"genre_scores_gemma":[0.003369499,0.99012625,0.002153291,0.00066021684,0.0015451051,0.000020093772,0.0001085587,0.000028219989,0.0019887914],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994362,0.00010540063,0.00006537032,0.00008741261,0.0002453395,0.000060185674],"domain_scores_gemma":[0.9984975,0.00075807265,0.0001061088,0.000057433335,0.0004989193,0.00008194481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075887935,0.0008427877,0.00093106396,0.0020480342,0.00048423596,0.0022119053,0.0008803634,0.0012908537,0.0064296736],"category_scores_gemma":[0.0022075106,0.00043151283,0.00077292556,0.003637872,0.0004955456,0.0029329765,0.0007470182,0.0022869261,0.003580791],"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":[0.000099773395,0.0001099176,0.0004723187,0.019248787,0.00014497989,0.00026780184,0.00020708553,0.00212396,0.005948366,0.025326235,0.103533104,0.84251773],"study_design_scores_gemma":[0.000009572813,0.00014519555,0.00065013603,0.0030719626,0.00009799008,0.0008443025,0.00011660361,0.0013829423,0.0017347985,0.00832886,0.9835787,0.000038972932],"about_ca_topic_score_codex":0.00089162105,"about_ca_topic_score_gemma":0.00096427975,"teacher_disagreement_score":0.0064296736,"about_ca_system_score_codex":0.00053897826,"about_ca_system_score_gemma":0.0015561879,"threshold_uncertainty_score":0.021509409},"labels":[],"label_agreement":null},{"id":"W4309729017","doi":"10.3390/en15238819","title":"Fly Ash-Based Geopolymers as Lower Carbon Footprint Alternatives to Portland Cement for Well Cementing Applications","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":16,"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":"Cenovus Energy; University of Texas at Austin; ConocoPhillips","keywords":"Portland cement; Fly ash; Materials science; Casing; Geopolymer; Compressive strength; Pozzolan; Cement; Ultimate tensile strength; Carbon footprint; Waste management; Composite material; Greenhouse gas; Environmental science; Petroleum engineering; Geology; Engineering","score_opus":0.010737221455755798,"score_gpt":0.2514701786322756,"score_spread":0.24073295717651982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309729017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98784953,0.0056219846,0.0025937695,0.00007255581,0.000035660007,0.0000524857,0.00023360494,0.00007300189,0.0034674858],"genre_scores_gemma":[0.99284464,0.002785282,0.002317609,0.000029072307,0.00000928684,0.000014638815,0.000098577024,0.000015775106,0.0018850188],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989915,0.000012624047,0.0000068470476,0.0000146078,0.000049527815,0.00001717496],"domain_scores_gemma":[0.999928,0.0000124556,0.00002360963,0.000004857582,0.000016422304,0.000014574324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010742524,0.00030283336,0.00013902121,0.00041705134,0.00013486836,0.0003140976,0.00015545332,0.00024579282,0.0012414284],"category_scores_gemma":[0.00013238855,0.0001249958,0.0002209185,0.00033317553,0.00011868629,0.0003661275,0.00014986626,0.0004889265,0.00023148659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006275714,0.000052505664,0.00016695276,0.00014284448,0.000006810966,0.00007823963,0.000018850445,0.0003379997,0.9918954,0.00018773241,0.00005421687,0.0069956463],"study_design_scores_gemma":[0.0000059424565,0.0004669807,0.0022209757,0.000016443677,0.000020781643,0.00010804116,0.000040411906,0.0006350731,0.9917225,0.000032816723,0.004720462,0.000009577254],"about_ca_topic_score_codex":0.00068678084,"about_ca_topic_score_gemma":0.003982762,"teacher_disagreement_score":0.0012414284,"about_ca_system_score_codex":0.00018680892,"about_ca_system_score_gemma":0.00019869999,"threshold_uncertainty_score":0.0041529536},"labels":[],"label_agreement":null},{"id":"W4309729330","doi":"10.3390/en15238823","title":"Sustainable Construction—Technological Aspects of Ecological Wooden Buildings","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Dimensioning; Modular design; Frame (networking); Engineering; Modular construction; Quality (philosophy); Civil engineering; Durability; Computer science; Mechanical engineering","score_opus":0.008590295099459725,"score_gpt":0.18413421013034448,"score_spread":0.17554391503088476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309729330","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":[0.059247144,0.46682552,0.037733406,0.0041305153,0.00061881164,0.00007313805,0.00017208952,0.00008229376,0.4311171],"genre_scores_gemma":[0.41265795,0.5268361,0.019669583,0.0008534946,0.00060849224,0.000084360305,0.00024157592,0.00004776195,0.039000697],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996859,0.00006197318,0.000016281707,0.00004780506,0.00013962714,0.000048374706],"domain_scores_gemma":[0.9999186,0.000023942535,0.000017299637,0.000010038754,0.000021086838,0.000008994271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002803256,0.00033911294,0.00015934191,0.0010895042,0.00052762276,0.0017634085,0.000365605,0.00052921,0.0022920487],"category_scores_gemma":[0.00023234896,0.00015905288,0.00024111873,0.001589092,0.0012177032,0.0015230261,0.0009613288,0.0004954873,0.0007304345],"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":[0.000026021118,0.00008394034,0.0027461196,0.0037432231,0.000031908356,0.000676275,0.0012569786,0.0057641966,0.011310841,0.45328113,0.0068316404,0.5142478],"study_design_scores_gemma":[0.0000017707428,0.00006767774,0.0032319315,0.0010299924,0.000011776453,0.001200653,0.0008737761,0.0005960104,0.0043583354,0.07389803,0.9147129,0.000017223567],"about_ca_topic_score_codex":0.00070306665,"about_ca_topic_score_gemma":0.0012588935,"teacher_disagreement_score":0.0022920487,"about_ca_system_score_codex":0.0006045797,"about_ca_system_score_gemma":0.0006282045,"threshold_uncertainty_score":0.007667601},"labels":[],"label_agreement":null},{"id":"W4309742800","doi":"10.3390/en15228719","title":"Modelling of Flow-Induced Vibration of Bluff Bodies: A Comprehensive Survey and Future Prospects","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenomenology (philosophy); Reynolds-averaged Navier–Stokes equations; Bluff; Computational fluid dynamics; Large eddy simulation; Vibration; Reynolds number; Computer science; Experimental data; Turbulence; Engineering; Mechanics; Aerospace engineering; Physics; Mathematics","score_opus":0.01913000746604062,"score_gpt":0.20705374386124858,"score_spread":0.18792373639520796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309742800","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015610254,0.2061562,0.76281756,0.0015445322,0.0006030979,0.000113251976,0.00046112709,0.0013154817,0.011378467],"genre_scores_gemma":[0.34161448,0.4513207,0.1870726,0.0007589231,0.0024223616,0.00038632427,0.002291343,0.00074286433,0.013390405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.999549,0.00009454769,0.00005159584,0.00009367629,0.0001757389,0.00003548833],"domain_scores_gemma":[0.9994167,0.00026270267,0.00009069519,0.000057763897,0.0001385228,0.00003358306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009447244,0.0016480349,0.0019374599,0.0015065623,0.0003263882,0.0020232708,0.0021652335,0.0018018084,0.0021764785],"category_scores_gemma":[0.001228267,0.00067298877,0.002033848,0.0015024644,0.00085796445,0.0021773218,0.000986082,0.0012017762,0.0012160955],"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":[0.000125744,0.00015067795,0.0037291853,0.0054596905,0.00020973117,0.00038106582,0.0003841183,0.5895381,0.014697256,0.027764678,0.008272226,0.34928745],"study_design_scores_gemma":[0.000015938862,0.000119996526,0.0015424981,0.000805911,0.00008242853,0.00027508845,0.00012924543,0.91691583,0.0024098763,0.017082116,0.060516164,0.00010492838],"about_ca_topic_score_codex":0.003309065,"about_ca_topic_score_gemma":0.0016274754,"teacher_disagreement_score":0.003309065,"about_ca_system_score_codex":0.0004726003,"about_ca_system_score_gemma":0.0008250735,"threshold_uncertainty_score":0.0072811246},"labels":[],"label_agreement":null},{"id":"W4309788335","doi":"10.3390/en15228677","title":"Geology and Geochemistry of the Hydrocarbon Compositional Changes in the Triassic Montney Formation, Western Canada","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geology; Geochemistry; Methane; Source rock; Basin modelling; Petroleum; Hydrocarbon; Sedimentary rock; Sedimentary basin; Structural basin; Petrology; Paleontology; Chemistry","score_opus":0.006471395212145751,"score_gpt":0.17834099124950376,"score_spread":0.171869596037358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309788335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97567344,0.0007185575,0.00040479773,0.0002455543,0.000010364512,0.00003684532,0.005785008,0.00010296027,0.017022612],"genre_scores_gemma":[0.99032915,0.00038905066,0.0008079986,0.000044516124,0.0000021667706,0.000009866491,0.0014704149,0.000023512102,0.0069233654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974316,0.0000045961688,0.000006815597,0.000043023552,0.00012986698,0.00007246518],"domain_scores_gemma":[0.99967206,0.000009000796,0.000024755956,0.0000064308806,0.00023415023,0.000053517408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013027916,0.00021568357,0.00017673975,0.002485748,0.002554922,0.0010664774,0.0005085696,0.00023418515,0.0028852045],"category_scores_gemma":[0.00034162088,0.00017989466,0.00021506831,0.0036368745,0.0007355476,0.00022449641,0.00052559684,0.00026762183,0.00031461788],"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":[0.00032445622,0.00006246216,0.8674454,0.00018704074,0.000088013636,0.001210217,0.006168809,0.004058402,0.03110557,0.0019055336,0.007208223,0.080235906],"study_design_scores_gemma":[0.000003993689,0.000012898846,0.98300534,0.00003167772,0.00001938201,0.00012664938,0.0028749327,0.0012615136,0.0021299708,0.000054501197,0.010460958,0.000018073843],"about_ca_topic_score_codex":0.9955004,"about_ca_topic_score_gemma":0.9986571,"teacher_disagreement_score":0.020937422,"about_ca_system_score_codex":0.020937422,"about_ca_system_score_gemma":0.017400187,"threshold_uncertainty_score":0.15191233},"labels":[],"label_agreement":null},{"id":"W4309848589","doi":"10.3390/en15238838","title":"Solar Energy Implementation in Manufacturing Industry Using Multi-Criteria Decision-Making Fuzzy TOPSIS and S4 Framework","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Photovoltaic system; TOPSIS; Solar energy; Context (archaeology); Decision support system; Automation; Manufacturing; Renewable energy; Fuzzy logic; Engineering; Computer science; Environmental economics; Risk analysis (engineering); Operations research; Business; Mechanical engineering; Artificial intelligence; Economics; Marketing; Electrical engineering","score_opus":0.10699902301563889,"score_gpt":0.45103676225951955,"score_spread":0.34403773924388065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309848589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10746845,0.0008229089,0.8663296,0.0008012027,0.000066262255,0.0010072506,0.00022959767,0.00021117911,0.023063568],"genre_scores_gemma":[0.6916786,0.0006409129,0.3046452,0.0000688547,0.000016596183,0.0004964957,0.00016573636,0.000014290738,0.002273288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945623,0.0029388003,0.00036759605,0.0003156031,0.0014835243,0.00033219068],"domain_scores_gemma":[0.9987231,0.00062597496,0.00020578908,0.000045622764,0.0003265396,0.0000729362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047796,0.0011353504,0.0010988928,0.002873622,0.0015582964,0.004000166,0.0016662817,0.0013286866,0.0028280925],"category_scores_gemma":[0.0031748775,0.00063688494,0.0021007503,0.003367371,0.0010179839,0.0015106436,0.0016173405,0.0009507803,0.0002502638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018433556,0.00021740099,0.0034509466,0.0009964781,0.0003819498,0.0010574135,0.0011052288,0.84677154,0.0062911017,0.05284149,0.0010782208,0.08562396],"study_design_scores_gemma":[0.000052283885,0.0003138191,0.0015722368,0.00023906521,0.00014009236,0.00014573499,0.0014062319,0.946082,0.0029880845,0.042475168,0.0045050536,0.00008022725],"about_ca_topic_score_codex":0.01090081,"about_ca_topic_score_gemma":0.01265962,"teacher_disagreement_score":0.01090081,"about_ca_system_score_codex":0.0034802146,"about_ca_system_score_gemma":0.003993444,"threshold_uncertainty_score":0.025277257},"labels":[],"label_agreement":null},{"id":"W4310036665","doi":"10.3390/en15238885","title":"Diagnosing Disk-Space Variation in Distribution Power Transformer Windings Using Group Method of Data Handling Artificial Neural Networks","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electromagnetic coil; Smart grid; Artificial neural network; Fault (geology); Electric power system; Engineering; Test data; Transformer; Computer science; Data-driven; Reliability engineering; Electronic engineering; Real-time computing; Artificial intelligence; Power (physics); Voltage; Electrical engineering","score_opus":0.025223307754058986,"score_gpt":0.2649316843457899,"score_spread":0.23970837659173092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310036665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32055327,0.0003271816,0.6762131,0.00014382329,0.000056378765,0.00008386443,0.000038396447,0.00062844006,0.0019556312],"genre_scores_gemma":[0.95077956,0.00010319343,0.0482648,0.000025349194,0.000011628075,0.00004258495,0.000047281905,0.00000868431,0.00071705517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998184,0.000047032412,0.000013550852,0.000050739596,0.000049931947,0.000020315094],"domain_scores_gemma":[0.9997285,0.0001226259,0.000046259756,0.000017950108,0.00007466925,0.000010002255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037213342,0.0005747739,0.00031839847,0.00038333016,0.00020098347,0.00035414268,0.00039451694,0.0004305495,0.00038143518],"category_scores_gemma":[0.000865404,0.0001518473,0.0003038409,0.00027274713,0.00019960233,0.00030294163,0.00022598726,0.00031499245,0.000060923674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036304773,0.00023796993,0.0077033243,0.0001446773,0.00009028668,0.00022816806,0.00016206967,0.5684501,0.02957092,0.0011589441,0.00088270754,0.39100784],"study_design_scores_gemma":[0.0000034694158,0.000043340886,0.0006865442,0.0000023347109,0.000007831545,0.000013581278,0.0000119738625,0.99636394,0.0025897752,0.00018814737,0.00008558432,0.0000035081603],"about_ca_topic_score_codex":0.003454942,"about_ca_topic_score_gemma":0.0029305387,"teacher_disagreement_score":0.003454942,"about_ca_system_score_codex":0.00027615397,"about_ca_system_score_gemma":0.00025892165,"threshold_uncertainty_score":0.0068696737},"labels":[],"label_agreement":null},{"id":"W4310075282","doi":"10.3390/en15238998","title":"A Survey of the Quasi-3D Modeling of Wind Turbine Icing","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Rimouski","funders":"","keywords":"Icing; Icing conditions; Turbine; Airfoil; Aerodynamics; Wind power; Computational fluid dynamics; Marine engineering; Environmental science; Turbine blade; Meteorology; Engineering; Computer science; Aerospace engineering","score_opus":0.019843621192897266,"score_gpt":0.20791332530623563,"score_spread":0.18806970411333837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310075282","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03784268,0.3775359,0.5251725,0.0015394872,0.0010078492,0.00027048218,0.004577901,0.0013856831,0.05066763],"genre_scores_gemma":[0.24754463,0.6043582,0.12924762,0.0004907582,0.0006963191,0.0003903028,0.00576495,0.000568118,0.010939186],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995241,0.00009377335,0.00006693919,0.000057863068,0.00023320642,0.000024138359],"domain_scores_gemma":[0.9991345,0.0004284472,0.00008746542,0.00006921105,0.00025384716,0.000026672904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006226698,0.0010170228,0.0010909135,0.001848588,0.00035624093,0.0019598922,0.0012089757,0.0010601145,0.0030002953],"category_scores_gemma":[0.0015313064,0.000806751,0.0014767416,0.002544914,0.00035578173,0.0011899888,0.0005640983,0.00060924457,0.0011856994],"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":[0.00010531052,0.00011140778,0.0063427356,0.012808529,0.00023641327,0.00057095126,0.0003682737,0.44989714,0.012126743,0.017496983,0.0146411685,0.4852943],"study_design_scores_gemma":[0.000030263715,0.00021601704,0.006783514,0.0031271207,0.0002725444,0.00082732056,0.00043426946,0.6157276,0.008394735,0.011008399,0.35296303,0.00021506428],"about_ca_topic_score_codex":0.0052841324,"about_ca_topic_score_gemma":0.0042829094,"teacher_disagreement_score":0.0052841324,"about_ca_system_score_codex":0.00041797032,"about_ca_system_score_gemma":0.0010496866,"threshold_uncertainty_score":0.010506749},"labels":[],"label_agreement":null},{"id":"W4310388963","doi":"10.3390/en15239032","title":"Deep Reinforcement Learning-Based Operation of Transmission Battery Storage with Dynamic Thermal Line Rating","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Electric System Operator","keywords":"Reinforcement learning; Ampacity; Battery (electricity); Computer science; Transmission line; Electric power system; Grid; Line (geometry); Power (physics); Artificial intelligence; Engineering; Electrical engineering; Telecommunications; Electrical conductor","score_opus":0.0038426707782746312,"score_gpt":0.18913280629532356,"score_spread":0.18529013551704893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310388963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47854403,0.00037822695,0.5072247,0.00054729707,0.000086253174,0.000085335494,0.00007728677,0.001296235,0.011760696],"genre_scores_gemma":[0.9944735,0.000016558091,0.004771183,0.000013816951,0.0000022388667,0.000009901801,0.000009222139,0.0000072384223,0.0006962351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998851,0.00003123615,0.000006387858,0.000020181698,0.000027756269,0.000029331257],"domain_scores_gemma":[0.99961877,0.00016232267,0.000053709304,0.00002890169,0.00009772934,0.000038506692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004883915,0.000353625,0.00039481322,0.00013753891,0.0001796117,0.00044280142,0.0007376732,0.00035480887,0.0014199655],"category_scores_gemma":[0.0013741226,0.00019077334,0.00016969304,0.00011401318,0.00038708164,0.00052962836,0.00040482305,0.0006252147,0.00015954715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011129575,0.000055917775,0.0008370686,0.000023591247,0.000014125007,0.000057510744,0.00002712194,0.97677886,0.0023386572,0.0012692568,0.00036283614,0.018123722],"study_design_scores_gemma":[0.0000035851824,0.000012331431,0.000046121684,9.053417e-7,0.0000012291633,0.000002963944,0.0000015513236,0.99934024,0.00038706054,0.00016479584,0.00003831532,9.3928736e-7],"about_ca_topic_score_codex":0.008764208,"about_ca_topic_score_gemma":0.0076399827,"teacher_disagreement_score":0.008764208,"about_ca_system_score_codex":0.00065098464,"about_ca_system_score_gemma":0.00073838775,"threshold_uncertainty_score":0.017426372},"labels":[],"label_agreement":null},{"id":"W4310803244","doi":"10.3390/en15249273","title":"FBG Sensing Technology for an Enhanced Microgrid Performance","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; EMI; Electromagnetic interference; Voltage; Power (physics); Fiber Bragg grating; Electronic engineering; Resilience (materials science); Computer science; Energy storage; Grid; Automotive engineering; Electrical engineering; Engineering; Materials science; Optical fiber; Telecommunications","score_opus":0.0072358250211464,"score_gpt":0.2033410624049372,"score_spread":0.19610523738379082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310803244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6652003,0.004666859,0.31788868,0.00081527804,0.00045900804,0.00008258614,0.00022982828,0.0013846158,0.009272867],"genre_scores_gemma":[0.93785673,0.0008647083,0.05878101,0.00011202867,0.000033497057,0.000023908555,0.000048548565,0.000020679057,0.0022588584],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999879,0.000014270295,0.000006779052,0.00003054642,0.00005712338,0.000012333868],"domain_scores_gemma":[0.9998611,0.000036150588,0.000028883922,0.00001783498,0.000050256316,0.0000057829966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022434557,0.0003427109,0.0001581425,0.00021659775,0.00012017922,0.00022629905,0.00023409408,0.0003774013,0.00060437375],"category_scores_gemma":[0.00029235566,0.00011576161,0.00013636492,0.00017310865,0.00019145888,0.0004804808,0.00015504118,0.00023199547,0.00026185033],"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":[0.000068520596,0.000027704342,0.0007121269,0.00013034472,0.000008374971,0.000092552626,0.0000820649,0.0036025443,0.96122295,0.0007921993,0.00043263545,0.032828007],"study_design_scores_gemma":[0.0000057202224,0.00018842687,0.0017152479,0.00001685444,0.000016731765,0.00022259926,0.000057873334,0.0257724,0.9654047,0.00036956632,0.0062132,0.000016627639],"about_ca_topic_score_codex":0.00070017745,"about_ca_topic_score_gemma":0.0010682344,"teacher_disagreement_score":0.00070017745,"about_ca_system_score_codex":0.00024358537,"about_ca_system_score_gemma":0.00013247607,"threshold_uncertainty_score":0.0020217896},"labels":[],"label_agreement":null},{"id":"W4311050704","doi":"10.3390/en15239094","title":"Diagnostic Fracture Injection Tests Analysis and Numerical Simulation in Montney Shale Formation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"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":"Petroleum engineering; Geology; Oil shale; Directional drilling; Hydraulic fracturing; Pressure gradient; Drilling; Geotechnical engineering; Pore water pressure; Geomechanics; Well stimulation; Reservoir engineering; Petroleum; Engineering","score_opus":0.004804163698752665,"score_gpt":0.21555887561952394,"score_spread":0.21075471192077128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311050704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98397243,0.00017656319,0.011244832,0.00018696889,0.000023673509,0.000033394328,0.00049868017,0.00020663795,0.0036567424],"genre_scores_gemma":[0.99471986,0.000056482895,0.0043360023,0.00001927657,0.0000043591463,0.00002622106,0.00027096772,0.000014586397,0.00055228535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998436,0.000024304863,0.000014308626,0.000027091959,0.000046305824,0.00004425993],"domain_scores_gemma":[0.9993456,0.00038212677,0.000071111026,0.000023591807,0.00012660724,0.000050934104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035110407,0.0005619587,0.00048334364,0.0009772591,0.00050679024,0.00080753624,0.00068229967,0.001230755,0.0013383458],"category_scores_gemma":[0.0011620627,0.0002727903,0.00085275073,0.0008433982,0.000601109,0.00042323853,0.0005012822,0.00054907554,0.000098119424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051907016,0.000097470285,0.018832434,0.0000421851,0.000022786971,0.00028553736,0.000065364795,0.97394764,0.0015543412,0.00073305314,0.00027904738,0.0040882053],"study_design_scores_gemma":[0.0000041588705,0.000007869805,0.0014294914,0.000002773345,0.0000030962244,0.000007773055,0.000025483707,0.99816066,0.00020941395,0.000081578655,0.00006326482,0.000004444634],"about_ca_topic_score_codex":0.06979147,"about_ca_topic_score_gemma":0.037452903,"teacher_disagreement_score":0.06979147,"about_ca_system_score_codex":0.00079175556,"about_ca_system_score_gemma":0.0010524297,"threshold_uncertainty_score":0.13877046},"labels":[],"label_agreement":null},{"id":"W4311160904","doi":"10.3390/en15249276","title":"Prediction of Solid Conversion Process in Direct Reduction Iron Oxide Using Machine Learning","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial neural network; Radial basis function; Reduction (mathematics); Multilayer perceptron; Process (computing); Mean squared error; Nonlinear system; Perceptron; Iron oxide; Direct reduced iron; Engineering; Computer science; Process engineering; Materials science; Machine learning; Mathematics; Metallurgy; Chemical engineering; Statistics","score_opus":0.014444834880880096,"score_gpt":0.22509052314959835,"score_spread":0.21064568826871824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311160904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7368717,0.0007881866,0.2571975,0.00013883068,0.00005283604,0.0000730436,0.00022316369,0.00064205076,0.004012666],"genre_scores_gemma":[0.9854593,0.00026735236,0.0130067775,0.000009475833,0.0000044749618,0.000027282815,0.00011905467,0.000013893537,0.0010924252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988294,0.0000130418175,0.000007973231,0.000037954527,0.000046165573,0.0000118888975],"domain_scores_gemma":[0.99976665,0.00012926692,0.00003185071,0.00001141959,0.000053792504,0.0000071488903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003218232,0.00058715366,0.00045186855,0.00042812273,0.00020264546,0.00049320876,0.0003268677,0.00059857866,0.00049531116],"category_scores_gemma":[0.00071098364,0.0002278364,0.00047022384,0.00033215273,0.00019815436,0.00042686902,0.00017221781,0.00040248872,0.00015504163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011486856,0.00010374937,0.009224498,0.00016214197,0.00002559752,0.0001401951,0.000040760675,0.9301615,0.0154103255,0.00047162583,0.0003059991,0.043838818],"study_design_scores_gemma":[0.0000018714946,0.000015289539,0.0010816273,0.0000020623795,0.0000025178551,0.000006739106,0.000004305659,0.9960967,0.002616323,0.00009619391,0.00007374127,0.0000026426808],"about_ca_topic_score_codex":0.007148584,"about_ca_topic_score_gemma":0.00622916,"teacher_disagreement_score":0.007148584,"about_ca_system_score_codex":0.00043251293,"about_ca_system_score_gemma":0.00044735425,"threshold_uncertainty_score":0.014213979},"labels":[],"label_agreement":null},{"id":"W4311376178","doi":"10.3390/en15249428","title":"A Robust Nonlinear Sliding Mode Controller for a Three-Phase Grid-Connected Inverter with an LCL Filter","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Total harmonic distortion; Harmonics; Robustness (evolution); Integral sliding mode; Grid; Inverter; Controller (irrigation); Three-phase; Computer science; MATLAB; Electrical impedance; Sliding mode control; Engineering; Electronic engineering; Nonlinear system; Voltage; Electrical engineering; Mathematics; Physics","score_opus":0.017241359027740388,"score_gpt":0.2138215278617144,"score_spread":0.19658016883397403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311376178","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":[0.038640738,0.00038658077,0.950743,0.00016027658,0.00016263548,0.00009810124,0.000054719163,0.0011104319,0.0086435415],"genre_scores_gemma":[0.9560006,0.0001862765,0.040313315,0.00006232185,0.00003450649,0.00012467122,0.000057307454,0.000023918366,0.0031969992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997831,0.000030497124,0.000014600673,0.00006638557,0.00008892287,0.000016504546],"domain_scores_gemma":[0.9998627,0.000027447435,0.000031389092,0.000014808716,0.000056007026,0.00000768958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036299127,0.0005842764,0.00043981525,0.00023587457,0.00036691123,0.0006848897,0.0007301668,0.0004394844,0.0019396242],"category_scores_gemma":[0.00046050537,0.00015327304,0.00033218786,0.00022509955,0.00044192668,0.00034439028,0.0003550182,0.0005056303,0.000399203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057274714,0.00017853787,0.0014255072,0.00070094055,0.00015528247,0.00066165376,0.0004436835,0.57652944,0.10227469,0.012987012,0.0036414484,0.30042902],"study_design_scores_gemma":[0.000040236446,0.00023289057,0.0003330402,0.000014251399,0.000021241693,0.000054197833,0.0000114938375,0.99151015,0.0055238707,0.000431869,0.001815401,0.000011387068],"about_ca_topic_score_codex":0.0037551532,"about_ca_topic_score_gemma":0.003066198,"teacher_disagreement_score":0.0037551532,"about_ca_system_score_codex":0.00047833484,"about_ca_system_score_gemma":0.0005790689,"threshold_uncertainty_score":0.0074666142},"labels":[],"label_agreement":null},{"id":"W4311628394","doi":"10.3390/en15239142","title":"Tabular Open Circuit Voltage Modelling of Li-Ion Batteries for Robust SOC Estimation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Parametric statistics; Rounding; Robustness (evolution); Voltage; Equivalent circuit; Battery (electricity); Metric (unit); Polynomial; Polynomial and rational function modeling; Computer science; Engineering; Electronic engineering; Electrical engineering; Mathematics","score_opus":0.06162409223656544,"score_gpt":0.27062064058331103,"score_spread":0.20899654834674558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311628394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02547691,0.00076336134,0.9594245,0.000130348,0.00010247536,0.00009495153,0.0009704695,0.001806915,0.011230032],"genre_scores_gemma":[0.8690385,0.0011409558,0.120157234,0.00010369196,0.000052410393,0.000275779,0.00146861,0.00031965194,0.0074431533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970204,0.0000752158,0.000025457228,0.000042523687,0.00012595952,0.000028773733],"domain_scores_gemma":[0.99940705,0.00025168926,0.000073029594,0.000095036674,0.00016444623,0.000008738867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004195121,0.0006530125,0.0004459836,0.0005133988,0.00024757395,0.001317941,0.0012467917,0.0006680195,0.005908161],"category_scores_gemma":[0.002459902,0.00021952744,0.0005186393,0.0008043212,0.00027466042,0.0010290821,0.000412357,0.0006654054,0.0012600559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048816848,0.000012662399,0.00039184184,0.0001255432,0.000010181258,0.000046681693,0.00003776089,0.95835614,0.0039701276,0.008476305,0.0011269735,0.027396983],"study_design_scores_gemma":[0.0000019582812,0.00001594283,0.00007042394,0.000008934037,0.0000029939754,0.000017461212,0.0000074864624,0.9938694,0.0019613795,0.002108398,0.0019312602,0.0000042085694],"about_ca_topic_score_codex":0.0032908064,"about_ca_topic_score_gemma":0.0034491494,"teacher_disagreement_score":0.005908161,"about_ca_system_score_codex":0.00062224147,"about_ca_system_score_gemma":0.0006076985,"threshold_uncertainty_score":0.019764781},"labels":[],"label_agreement":null},{"id":"W4311723559","doi":"10.3390/en15239251","title":"Robust Approach to Battery Equivalent-Circuit-Model Parameter Extraction Using Electrochemical Impedance Spectroscopy","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Equivalent circuit; Noise (video); Dielectric spectroscopy; Battery (electricity); Computer science; Electrical impedance; Estimation theory; Electronic engineering; Algorithm; Voltage; Engineering; Artificial intelligence; Electrical engineering; Power (physics); Chemistry; Electrode; Physics; Electrochemistry","score_opus":0.060164238225019914,"score_gpt":0.28878346093563145,"score_spread":0.22861922271061152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311723559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028776077,0.00013786597,0.9957474,0.000027266746,0.000009075512,0.000017543227,0.00003522255,0.0007585543,0.00038947992],"genre_scores_gemma":[0.34639436,0.0007077305,0.64740604,0.00013754856,0.000059903017,0.00026331726,0.0009389793,0.00038425176,0.0037078005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996892,0.00005497752,0.000025211097,0.000090251,0.00011743278,0.000022973536],"domain_scores_gemma":[0.999653,0.00013471492,0.000056425954,0.00005279599,0.00009516792,0.000007879265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044455533,0.0013872114,0.0009922539,0.0008739196,0.00033475822,0.00085370307,0.0010092902,0.0009487568,0.0021101737],"category_scores_gemma":[0.0018711578,0.00044247782,0.0008696793,0.00069234637,0.0002607733,0.0011080069,0.0007551278,0.0012527675,0.0015056711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013335326,0.0001267291,0.0009855661,0.00031525773,0.000132727,0.00023322142,0.00011279551,0.4903202,0.04642028,0.005642517,0.0026698774,0.4529075],"study_design_scores_gemma":[0.000006762491,0.000032396067,0.0003769817,0.000010485044,0.00001611751,0.00010572456,0.000016336204,0.9877601,0.00743041,0.0024359357,0.0017924896,0.000016202335],"about_ca_topic_score_codex":0.002458005,"about_ca_topic_score_gemma":0.0023468246,"teacher_disagreement_score":0.002458005,"about_ca_system_score_codex":0.0003518048,"about_ca_system_score_gemma":0.00067515887,"threshold_uncertainty_score":0.007059276},"labels":[],"label_agreement":null},{"id":"W4311789551","doi":"10.3390/en15249484","title":"Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Horizon 2020 Framework Programme; European Commission","keywords":"Wind power; Offshore wind power; Installation; Turbine; Marine engineering; Renewable energy; Power (physics); Converters; Energy (signal processing); Computer science; Engineering; Electrical engineering; Mechanical engineering; Mathematics","score_opus":0.016813366124237703,"score_gpt":0.20811078047971615,"score_spread":0.19129741435547845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311789551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2785568,0.0012786209,0.7026963,0.0007243846,0.00013830597,0.00012456982,0.00087076786,0.0010062534,0.014604002],"genre_scores_gemma":[0.9742459,0.0002273916,0.020110374,0.0000806269,0.000019621522,0.000138794,0.00034776598,0.000019227737,0.004810207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998894,0.000023323611,0.0000070393903,0.000027258342,0.000025121573,0.000027856442],"domain_scores_gemma":[0.9998192,0.00009215957,0.00002317772,0.0000072337325,0.000048260194,0.000009989283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039093412,0.00067499187,0.00046403345,0.00037454022,0.0002553894,0.00065108266,0.0006234795,0.0009888093,0.0019093016],"category_scores_gemma":[0.00064020226,0.00035847185,0.0005763082,0.00033665565,0.00034587583,0.00047333204,0.0004859049,0.0009701299,0.00024699655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001606877,0.000016610278,0.000686059,0.000017007958,0.000009587235,0.00003067605,0.000007767497,0.9926273,0.0003672507,0.00055764185,0.00018311488,0.00548095],"study_design_scores_gemma":[8.335815e-7,0.0000036567467,0.000073356096,0.0000015606165,0.0000010793954,0.0000014632002,0.0000016645331,0.9996458,0.00005896942,0.000160941,0.00004972779,7.874381e-7],"about_ca_topic_score_codex":0.017534282,"about_ca_topic_score_gemma":0.0132366475,"teacher_disagreement_score":0.017534282,"about_ca_system_score_codex":0.0006951099,"about_ca_system_score_gemma":0.0007619014,"threshold_uncertainty_score":0.034864426},"labels":[],"label_agreement":null},{"id":"W4311858744","doi":"10.3390/en15249292","title":"Financial Hazard Prediction Due to Power Outages Associated with Severe Weather-Related Natural Disaster Categories","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Revenue; Natural disaster; Electric power; Extreme weather; Natural hazard; Population; Business; Electricity; Finance; Environmental economics; Power (physics); Economics; Engineering; Climate change; Meteorology; Geography","score_opus":0.0030266350863254582,"score_gpt":0.16661082816138498,"score_spread":0.16358419307505953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311858744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99626875,0.000058199683,0.0012235168,0.000074064286,0.0000054320103,0.000017661521,0.0017222583,0.000037935166,0.00059198926],"genre_scores_gemma":[0.99705434,0.000052281648,0.00049639837,0.000004121308,0.000005896985,0.0000067291303,0.0022182511,0.0000022504107,0.00015973745],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999703,0.0000720959,0.000029841043,0.000049059938,0.00007164518,0.00007437347],"domain_scores_gemma":[0.9969915,0.00138087,0.00088721066,0.00015925342,0.0003585744,0.00022256313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080384343,0.0003648451,0.00020459408,0.0019465488,0.00016957657,0.0006142638,0.0002612105,0.00028370478,0.0014938726],"category_scores_gemma":[0.0034169222,0.000106561194,0.00044736278,0.0012307849,0.00015026907,0.00055991265,0.0005144378,0.000425376,0.00031537405],"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":[0.00018900307,0.000099426696,0.9451007,0.00003161195,0.000055017506,0.00037211625,0.00008951958,0.039660305,0.000492687,0.0003025522,0.0011600243,0.0124469735],"study_design_scores_gemma":[0.000009550922,0.00012742543,0.81078476,0.000017983677,0.0000384562,0.00021923985,0.000645231,0.18612242,0.00077529467,0.00052842224,0.000713549,0.000017612378],"about_ca_topic_score_codex":0.008970257,"about_ca_topic_score_gemma":0.007132735,"teacher_disagreement_score":0.008970257,"about_ca_system_score_codex":0.00042735046,"about_ca_system_score_gemma":0.00033362527,"threshold_uncertainty_score":0.017836094},"labels":[],"label_agreement":null},{"id":"W4311955049","doi":"10.3390/en16010001","title":"Photovoltaic Electrification and Water Pumping Using the Concepts of Water Shortage Probability and Loss of Power Supply Probability: A Case Study","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Sizing; Electricity; Electricity generation; Mains electricity; Engineering; Cost of electricity by source; Environmental engineering; Environmental science; Automotive engineering; Operations management; Process engineering; Electrical engineering; Environmental economics; Agricultural engineering; Power (physics); Economics; Voltage","score_opus":0.023536287042909224,"score_gpt":0.2704683383063125,"score_spread":0.24693205126340328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311955049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709265,0.00020415356,0.018659094,0.00021123758,0.000019466659,0.00007820928,0.00016589482,0.00003779758,0.009697692],"genre_scores_gemma":[0.9960115,0.00008518483,0.002837456,0.0000068176946,0.0000043497676,0.0000192011,0.000024058967,0.0000043950727,0.0010070218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973625,0.00011966346,0.00000905333,0.00003355051,0.000048087586,0.000053441585],"domain_scores_gemma":[0.9990163,0.00076590246,0.00007804921,0.000037359565,0.00006144203,0.00004096897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005028059,0.00044669522,0.00041280733,0.00049147184,0.00047699534,0.00083512446,0.00074876397,0.0011370128,0.002332003],"category_scores_gemma":[0.0012740059,0.0002922255,0.0007052607,0.0007260069,0.00057474046,0.0008162584,0.000492279,0.0006163759,0.00008757671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092163355,0.0001441201,0.0051206993,0.00008655833,0.000034001983,0.0015285055,0.00006282562,0.98168427,0.001661729,0.0036750576,0.0002642153,0.005645782],"study_design_scores_gemma":[0.000043070828,0.0002287794,0.0032024365,0.000010506174,0.000033528053,0.00027964314,0.0002889027,0.99194664,0.0016008975,0.0015100529,0.00083808386,0.00001743531],"about_ca_topic_score_codex":0.0067282706,"about_ca_topic_score_gemma":0.007297981,"teacher_disagreement_score":0.0067282706,"about_ca_system_score_codex":0.0008628306,"about_ca_system_score_gemma":0.0005554773,"threshold_uncertainty_score":0.013378203},"labels":[],"label_agreement":null},{"id":"W4311970729","doi":"10.3390/en15249310","title":"Numerical Modeling of Hydrothermal System Circulation Beneath Asal Rift, Republic of Djibouti","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Geology; Geothermal gradient; Rift; Petrology; Fluid dynamics; Anisotropy; Permeability (electromagnetism); Hydrothermal circulation; Geophysics; Mechanics; Seismology; Tectonics","score_opus":0.008785069279473395,"score_gpt":0.19827996044785715,"score_spread":0.18949489116838375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311970729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806121,0.00032330566,0.008572816,0.00045133685,0.000053540407,0.00004064056,0.0007527405,0.00013772592,0.009055882],"genre_scores_gemma":[0.9958431,0.00012369365,0.002329344,0.000029515715,0.000012765339,0.00003655105,0.0002528021,0.000013189825,0.0013589535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990547,0.000025257368,0.0000062133595,0.000020716669,0.000014978403,0.000027293114],"domain_scores_gemma":[0.99973375,0.00012450323,0.00004559843,0.00001347576,0.00004060678,0.000041943753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017691561,0.00048489112,0.0004909896,0.00046953568,0.0006826141,0.0011926873,0.00061953504,0.001312547,0.0011562807],"category_scores_gemma":[0.0006958486,0.0002671571,0.00050277624,0.00046920122,0.0007470324,0.00033482557,0.0006141941,0.00045514645,0.000108963286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035226916,0.000034864825,0.0040932004,0.000020839934,0.000017590251,0.00012683851,0.000036691035,0.9923773,0.0015024412,0.0007066773,0.00014291606,0.0009054021],"study_design_scores_gemma":[0.000014089875,0.000012738942,0.0014118486,0.0000027996473,0.0000051987713,0.000008341194,0.000028989176,0.9980996,0.00012817133,0.00010184619,0.00018219599,0.0000042310885],"about_ca_topic_score_codex":0.04103623,"about_ca_topic_score_gemma":0.0208243,"teacher_disagreement_score":0.04103623,"about_ca_system_score_codex":0.0012825247,"about_ca_system_score_gemma":0.0010323898,"threshold_uncertainty_score":0.081594706},"labels":[],"label_agreement":null},{"id":"W4311978990","doi":"10.3390/en15249335","title":"End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Deutsche Forschungsgemeinschaft; University of Alberta","keywords":"Model predictive control; Robustness (evolution); Diesel engine; Artificial neural network; Control theory (sociology); Computer science; Controller (irrigation); PID controller; Fuel efficiency; Engineering; Automotive engineering; Control engineering; Artificial intelligence; Temperature control","score_opus":0.0061609992571841745,"score_gpt":0.23523915638063453,"score_spread":0.22907815712345037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311978990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77184975,0.00033721444,0.20615602,0.00041591332,0.0003469895,0.00031361837,0.0007960196,0.0053016613,0.014482864],"genre_scores_gemma":[0.9813517,0.000046602032,0.016171914,0.000040150946,0.000004557282,0.00010288457,0.00022235852,0.00003814823,0.0020217178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997757,0.000025352061,0.000016373315,0.00005315944,0.00008465853,0.0000447863],"domain_scores_gemma":[0.9996644,0.000095401905,0.000029393577,0.000046611895,0.00013634788,0.000027803839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004899365,0.0006761022,0.00033287582,0.0002570361,0.00027205914,0.00041602226,0.000899596,0.0005401938,0.0027856631],"category_scores_gemma":[0.0008535502,0.00020588057,0.0002516684,0.00017954953,0.00034901343,0.00041634226,0.00042251693,0.0009367133,0.00043065028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013737497,0.0016506019,0.004545944,0.0010350216,0.00014736199,0.00058835,0.00036134434,0.664906,0.1516716,0.003569885,0.0041210465,0.16602908],"study_design_scores_gemma":[0.00006226452,0.00053058885,0.0013870666,0.000015982769,0.00001681943,0.000024814279,0.00003456755,0.92292404,0.07299841,0.00036732914,0.0016168263,0.0000213097],"about_ca_topic_score_codex":0.009945983,"about_ca_topic_score_gemma":0.008377121,"teacher_disagreement_score":0.009945983,"about_ca_system_score_codex":0.0005011086,"about_ca_system_score_gemma":0.0007519227,"threshold_uncertainty_score":0.019776165},"labels":[],"label_agreement":null},{"id":"W4312073799","doi":"10.3390/en16010091","title":"Numerical Simulation of the Oil Production Performance of Different Well Patterns with Water Injection","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Petroleum engineering; Injection well; Reservoir simulation; Water injection (oil production); Directional drilling; Computer simulation; Oil production; Oil field; Drilling; Reservoir engineering; Water well; Geology; Engineering; Geotechnical engineering; Petroleum; Simulation; Groundwater; Mechanical engineering","score_opus":0.007982190184189298,"score_gpt":0.20849824789848276,"score_spread":0.20051605771429346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312073799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98303497,0.00006213567,0.01415558,0.000054143355,0.000014720546,0.00003688944,0.00021338584,0.000115588584,0.0023125403],"genre_scores_gemma":[0.9914231,0.000060298167,0.007731643,0.0000066053426,0.0000012715512,0.00003563099,0.00014453774,0.000010823667,0.00058606575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.000026312879,0.000014953871,0.000027640664,0.000040419796,0.000052676696],"domain_scores_gemma":[0.99934536,0.0003292137,0.000094086114,0.00005076901,0.00012701086,0.000053520787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041365786,0.0005555334,0.00048442592,0.0005929464,0.000413041,0.0006095815,0.00061084115,0.00083753874,0.00098626],"category_scores_gemma":[0.0011499384,0.00034593555,0.0006440022,0.00078177796,0.0005526893,0.0006235098,0.00042073743,0.0005294495,0.000095086565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066092,0.000066657776,0.0038844517,0.000025386673,0.000010382565,0.00007412181,0.00003663568,0.9859634,0.007268588,0.00046370557,0.0000640888,0.0020764824],"study_design_scores_gemma":[0.000010129634,0.000049479622,0.00061418884,0.0000020441933,0.000005343096,0.000005621775,0.000021230991,0.99587953,0.0032343357,0.00008032101,0.000091318725,0.0000064068863],"about_ca_topic_score_codex":0.014336477,"about_ca_topic_score_gemma":0.0077400417,"teacher_disagreement_score":0.014336477,"about_ca_system_score_codex":0.000729552,"about_ca_system_score_gemma":0.0009781679,"threshold_uncertainty_score":0.02850604},"labels":[],"label_agreement":null},{"id":"W4312116792","doi":"10.3390/en16010139","title":"The Impact of Fuel Injection Timing and Charge Dilution Rate on Low Temperature Combustion in a Compression Ignition Engine","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; Simon Fraser University; Royal Academy of Engineering","keywords":"Dilution; Combustion; NOx; Diesel fuel; Exhaust gas recirculation; Ignition system; Diesel engine; Soot; Chemistry; Cold start (automotive); Materials science; Analytical Chemistry (journal); Automotive engineering; Environmental chemistry; Thermodynamics; Organic chemistry; Engineering","score_opus":0.009667800213940666,"score_gpt":0.24538455999720676,"score_spread":0.2357167597832661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312116792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991209,0.00012217398,0.0002948227,0.000011900111,0.0000074759314,0.000008621173,0.000039383955,0.000021464142,0.00037329784],"genre_scores_gemma":[0.9993476,0.00007540075,0.0003078116,0.000009405793,0.0000025660554,0.0000032563137,0.000040638974,0.0000065617073,0.00020670537],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975616,0.00002692958,0.00002439427,0.000054055443,0.000105434476,0.000032906413],"domain_scores_gemma":[0.9993754,0.00035106033,0.00010070789,0.000029488669,0.00011115797,0.000032215386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003444006,0.0003771788,0.00026222633,0.00025862115,0.00024504663,0.0005624249,0.00036314878,0.00031574862,0.0007730467],"category_scores_gemma":[0.0010631335,0.00023552602,0.00022527388,0.00022636009,0.0002790542,0.00036788176,0.00019617443,0.0002901877,0.00020624087],"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":[0.0031698165,0.00046604747,0.015478955,0.00025980087,0.000045189307,0.0003808004,0.00014184078,0.011725665,0.9490719,0.000098597535,0.00013100573,0.019030564],"study_design_scores_gemma":[0.000032044598,0.001538534,0.027357936,0.00000881219,0.000035575427,0.00009397311,0.00005969957,0.008465965,0.96204764,0.000024103929,0.00031187048,0.000024011744],"about_ca_topic_score_codex":0.0024623931,"about_ca_topic_score_gemma":0.003056044,"teacher_disagreement_score":0.0024623931,"about_ca_system_score_codex":0.00044994574,"about_ca_system_score_gemma":0.00022997195,"threshold_uncertainty_score":0.0048961043},"labels":[],"label_agreement":null},{"id":"W4312127458","doi":"10.3390/en15249365","title":"Self-Starting Characteristics and Flow-Induced Rotation of Single- and Dual-Stage Vertical-Axis Wind Turbines","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbine; Wind power; Wake; Rotor (electric); Mechanics; Rotation (mathematics); Flow (mathematics); Vertical axis wind turbine; Vortex; Angular velocity; Wind shear; Vertical axis; Turbine blade; Aerospace engineering; Wind speed; Environmental science; Physics; Meteorology; Engineering; Mechanical engineering; Geometry; Classical mechanics; Electrical engineering; Mathematics","score_opus":0.013973199109566157,"score_gpt":0.20997328312723265,"score_spread":0.1960000840176665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312127458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919729,0.00008835612,0.006018826,0.000022936034,0.0000134253005,0.000012781127,0.00005636856,0.000044747718,0.0017694834],"genre_scores_gemma":[0.998814,0.00002543396,0.0008182348,0.0000025651843,8.6950666e-7,0.000005835129,0.000044743003,0.000005610534,0.0002828317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999509,0.000006537901,0.0000033670026,0.000007226245,0.000015812935,0.000016201875],"domain_scores_gemma":[0.99981314,0.0000671992,0.000042277774,0.000017466513,0.000035322682,0.000024659064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015894677,0.00016755526,0.00020939477,0.00027568912,0.00017259542,0.00031122318,0.00017005959,0.0002613916,0.0010462492],"category_scores_gemma":[0.000409464,0.00011338402,0.0002484176,0.0001522068,0.00029223805,0.00021414751,0.00013090229,0.00017937364,0.00015813361],"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":[0.00062748167,0.00023125867,0.023582734,0.00022714808,0.000044203218,0.0007989557,0.0003198167,0.60954624,0.33726668,0.0028200722,0.0005999495,0.023935504],"study_design_scores_gemma":[0.000034284603,0.0006472659,0.023260986,0.000024627316,0.000014852761,0.00011342564,0.00021171288,0.9274456,0.046797078,0.0005507778,0.00087191473,0.000027606127],"about_ca_topic_score_codex":0.0007225488,"about_ca_topic_score_gemma":0.000815067,"teacher_disagreement_score":0.0010462492,"about_ca_system_score_codex":0.00013404511,"about_ca_system_score_gemma":0.00015104338,"threshold_uncertainty_score":0.0035000443},"labels":[],"label_agreement":null},{"id":"W4312175601","doi":"10.3390/en16010119","title":"Optimization of Urban-Scale Sustainable Energy Strategies to Improve Citizens’ Health","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Health, psychology, and well-being","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Narodowa Agencja Wymiany Akademickiej; Politechnika Poznańska","keywords":"Mental health; Downtown; Urban planning; Scale (ratio); Plan (archaeology); Built environment; Sustainable development; Public health; Health promotion; Social determinants of health; Business; Psychology; Public relations; Environmental health; Environmental planning; Political science; Geography; Engineering; Civil engineering; Medicine","score_opus":0.017459133143440466,"score_gpt":0.3605989917636808,"score_spread":0.3431398586202404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312175601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6401945,0.008734766,0.15518206,0.015890785,0.00051120564,0.0018616074,0.001670226,0.00083538337,0.17511947],"genre_scores_gemma":[0.96390456,0.0026098778,0.028519189,0.00031745734,0.000027738903,0.00032272236,0.00034078982,0.000030523297,0.003927192],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999566,0.00021665309,0.000018122242,0.000037617978,0.0000671174,0.00009455652],"domain_scores_gemma":[0.99979573,0.00003899694,0.000033212564,0.000013165766,0.00007074671,0.000048117927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088704395,0.00045359434,0.00032215688,0.0007571443,0.00059358904,0.0017626683,0.0005583743,0.0005635588,0.0052863867],"category_scores_gemma":[0.00088164356,0.0001215391,0.0003923074,0.0007713238,0.00030149551,0.00083645206,0.0012875777,0.00040400206,0.0008037822],"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":[0.00032181805,0.0022030426,0.0722272,0.0025601538,0.0003101844,0.0005275896,0.0020293163,0.10208185,0.0180835,0.05401607,0.030441176,0.7151981],"study_design_scores_gemma":[0.00031036136,0.0021042821,0.20231238,0.0027935717,0.00073304883,0.00039134227,0.05687153,0.18309712,0.026101988,0.16917592,0.35589728,0.00021117444],"about_ca_topic_score_codex":0.003570765,"about_ca_topic_score_gemma":0.010340613,"teacher_disagreement_score":0.0052863867,"about_ca_system_score_codex":0.00091999583,"about_ca_system_score_gemma":0.0030956576,"threshold_uncertainty_score":0.017684758},"labels":[],"label_agreement":null},{"id":"W4312186407","doi":"10.3390/en16010061","title":"Natural Esters for Green Transformers: Challenges and Keys for Improved Serviceability","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mineral oil; Serviceability (structure); Renewable energy; Transformer; Environmentally friendly; Engineering; Biochemical engineering; Architectural engineering; Waste management; Environmental science; Chemistry; Electrical engineering; Civil engineering; Voltage; Organic chemistry; Ecology","score_opus":0.0124222721254203,"score_gpt":0.20828751447862004,"score_spread":0.19586524235319974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312186407","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17159015,0.51428485,0.1861823,0.017453285,0.002463332,0.00020382718,0.0007211007,0.0005385389,0.106562674],"genre_scores_gemma":[0.5229026,0.38000512,0.06553393,0.0024188028,0.00092627615,0.00012494386,0.0004690105,0.00023715063,0.02738212],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950075,0.000081609374,0.000036714766,0.00006962855,0.00025243932,0.000058799593],"domain_scores_gemma":[0.99960357,0.00012988935,0.000068299705,0.00004150167,0.0001282854,0.000028445365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007778639,0.00048445223,0.00038862292,0.0007337704,0.00038311732,0.0017763975,0.00046054862,0.0009455443,0.0041855695],"category_scores_gemma":[0.0008490491,0.00023851261,0.0004369121,0.00070679275,0.00065647915,0.0039895396,0.0010056491,0.0016723536,0.0019040485],"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":[0.00024050126,0.00018391784,0.0011617355,0.0065836636,0.000041882387,0.0011180183,0.00048896525,0.0038150828,0.40859684,0.12942694,0.009962924,0.4383795],"study_design_scores_gemma":[0.000016556543,0.00052112533,0.00080925424,0.0010578411,0.000057457797,0.0019141434,0.0007645537,0.004841527,0.42597166,0.034734022,0.5292378,0.00007409662],"about_ca_topic_score_codex":0.0003806538,"about_ca_topic_score_gemma":0.0009846058,"teacher_disagreement_score":0.0041855695,"about_ca_system_score_codex":0.0005663235,"about_ca_system_score_gemma":0.0005964095,"threshold_uncertainty_score":0.014002085},"labels":[],"label_agreement":null},{"id":"W4312201494","doi":"10.3390/en16010185","title":"Review of the Li-Ion Battery, Thermal Management, and AI-Based Battery Management System for EV Application","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Battery pack; State of health; Commercialization; State of charge; Automotive engineering; Energy management; Management system; Computer science; Energy storage; Systems engineering; Engineering; Reliability engineering; Energy (signal processing); Power (physics); Operations management","score_opus":0.009344548740512573,"score_gpt":0.24107683067711227,"score_spread":0.2317322819365997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312201494","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006423199,0.9909827,0.001835874,0.00036735568,0.00054721854,0.000016275035,0.00007162832,0.00002785503,0.0055087567],"genre_scores_gemma":[0.0045145275,0.9885479,0.0015719838,0.00031075714,0.00061904226,0.000020726995,0.00012117624,0.000009305399,0.0042845104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999777,0.000027950407,0.00004001108,0.000043931588,0.00009618264,0.000014932268],"domain_scores_gemma":[0.99973685,0.00010248178,0.00003641702,0.000010581213,0.000099837314,0.000013762415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034405355,0.0007760592,0.00072206976,0.0016806088,0.00028417475,0.00089910155,0.0007708241,0.00070848415,0.005044715],"category_scores_gemma":[0.00051920686,0.00031166532,0.00059214444,0.00211143,0.00025545686,0.0015591704,0.00046622413,0.00068126,0.0020286012],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011259589,0.00012028309,0.00044013633,0.03690793,0.00013261358,0.00028709843,0.00012223555,0.0022146245,0.010375099,0.012097091,0.051132895,0.8860574],"study_design_scores_gemma":[0.0000052052355,0.00015442923,0.00074496,0.0022257988,0.00013145068,0.0007740296,0.000061472594,0.0007684474,0.002187499,0.0019435788,0.9909786,0.000024627348],"about_ca_topic_score_codex":0.001138419,"about_ca_topic_score_gemma":0.0014349772,"teacher_disagreement_score":0.005044715,"about_ca_system_score_codex":0.0004078656,"about_ca_system_score_gemma":0.0009053499,"threshold_uncertainty_score":0.01687628},"labels":[],"label_agreement":null},{"id":"W4312223819","doi":"10.3390/en16010339","title":"Seawater Intrusion Risk and Prevention Technology of Coastal and Large-Span Underground Oil Storage Cavern","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Seawater; Inflow; Hydrogeology; Water storage; Seawater intrusion; Geology; Intrusion; Petroleum engineering; Excavation; Groundwater; Permeability (electromagnetism); Environmental science; Mining engineering; Hydrology (agriculture); Geotechnical engineering; Aquifer; Oceanography; Geochemistry","score_opus":0.0034634159919184355,"score_gpt":0.18862444368627865,"score_spread":0.18516102769436021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312223819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99403197,0.00004295511,0.004642853,0.000030681775,0.0000016887631,0.000019508085,0.00005064773,0.000038815,0.0011408817],"genre_scores_gemma":[0.99844104,0.00004556123,0.0012327712,0.0000014544695,4.538932e-7,0.0000055635787,0.00002585192,0.000002711066,0.0002444162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973506,0.000039093542,0.000014890686,0.00004683581,0.000091530215,0.00007258612],"domain_scores_gemma":[0.99958104,0.00013853857,0.00013552679,0.000033201824,0.000070386326,0.000041328924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039241253,0.00050956727,0.00028775088,0.00072503515,0.00033365327,0.00071623374,0.00087344757,0.00051626365,0.0006152672],"category_scores_gemma":[0.00087576394,0.00037774953,0.0007790539,0.00045187285,0.00044740413,0.0007750342,0.0006728442,0.00021408363,0.00005312075],"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":[0.00022558955,0.00015793947,0.15458308,0.00014361215,0.000077762146,0.0019083442,0.00018507836,0.7951443,0.025142282,0.0017844541,0.00023670483,0.02041087],"study_design_scores_gemma":[0.000022294382,0.0004173766,0.059459183,0.000021090675,0.000096211996,0.00063221355,0.0005446268,0.924424,0.012951166,0.00083865394,0.0005388705,0.00005427674],"about_ca_topic_score_codex":0.02081217,"about_ca_topic_score_gemma":0.02264336,"teacher_disagreement_score":0.02081217,"about_ca_system_score_codex":0.0010666146,"about_ca_system_score_gemma":0.0014203719,"threshold_uncertainty_score":0.041382074},"labels":[],"label_agreement":null},{"id":"W4313225947","doi":"10.3390/en16010279","title":"Wide-Speed Range Sensorless Control of Five-Phase PMSM Drive under Healthy and Open Phase Fault Conditions for Aerospace Applications","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stator; Control theory (sociology); Control reconfiguration; Torque; Aerospace; Vector control; Engineering; Control engineering; Power (physics); Fault (geology); Synchronous motor; Fault tolerance; Direct torque control; Counter-electromotive force; Computer science; Control (management); Induction motor; Electrical engineering; Voltage","score_opus":0.01600339998891069,"score_gpt":0.2987886661251314,"score_spread":0.2827852661362207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313225947","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32861432,0.0005584697,0.66371936,0.00015483382,0.00018415962,0.000102292855,0.00007375702,0.0009438738,0.0056490027],"genre_scores_gemma":[0.9942835,0.00004256211,0.0052358713,0.000008558642,0.000008762389,0.0000114534705,0.000015709147,0.000004648551,0.0003889114],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999869,0.000022522861,0.000011479442,0.000027390422,0.00005534833,0.0000143152965],"domain_scores_gemma":[0.99984634,0.000048299215,0.000039957416,0.000021357459,0.000035076482,0.000008966012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020664303,0.0003147967,0.00021098743,0.00014944331,0.0001550335,0.0002766995,0.00028249936,0.00018728636,0.0006798053],"category_scores_gemma":[0.00044429206,0.0000608958,0.00012100946,0.000087321285,0.00020080073,0.00022014871,0.0001435815,0.00020425708,0.00010043568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009927177,0.0002114112,0.002957399,0.0009584002,0.000056963967,0.00053410657,0.0006718449,0.16282482,0.4587918,0.0075097056,0.0017241515,0.36276665],"study_design_scores_gemma":[0.000107223,0.0023846906,0.00934371,0.000055474513,0.0000460121,0.0004619569,0.00013492197,0.83922434,0.13778906,0.003183605,0.0072352374,0.000033804754],"about_ca_topic_score_codex":0.0003567116,"about_ca_topic_score_gemma":0.0005054291,"teacher_disagreement_score":0.0006798053,"about_ca_system_score_codex":0.00010205802,"about_ca_system_score_gemma":0.0001040118,"threshold_uncertainty_score":0.0022741556},"labels":[],"label_agreement":null},{"id":"W4313260379","doi":"10.3390/en16010235","title":"Techno-Economic Analysis of Electricity Generation by Photovoltaic Power Plants Equipped with Trackers in Iran","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electricity generation; Photovoltaic system; Electricity; BitTorrent tracker; Maximum power point tracking; Production (economics); Environmental economics; Power station; Grid parity; Stand-alone power system; National Grid; Power (physics); Automotive engineering; Computer science; Business; Environmental science; Engineering; Photovoltaics; Electrical engineering; Economics","score_opus":0.011400103760413966,"score_gpt":0.21908017708802868,"score_spread":0.2076800733276147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313260379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883388,0.00016829451,0.0046374574,0.00008246994,0.000007992913,0.000045137767,0.0004018737,0.000029089735,0.0062888027],"genre_scores_gemma":[0.99845517,0.0000855199,0.0007577124,0.0000027389212,0.0000021925018,0.000016085181,0.00023170581,0.000004992722,0.0004437891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996605,0.00009831301,0.0000128175125,0.000038518658,0.00012772444,0.0000620956],"domain_scores_gemma":[0.99931705,0.00043018526,0.00008013763,0.000025738702,0.00012215521,0.000024732231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066315994,0.00039506206,0.00027033684,0.0012470494,0.00028777198,0.0007184514,0.00047936142,0.00030094958,0.0010971455],"category_scores_gemma":[0.0010713174,0.00019170622,0.0009787645,0.0015078828,0.0002772448,0.0004920522,0.00024360327,0.000351051,0.00010911874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018629627,0.00015445091,0.038101804,0.00007038627,0.000072357114,0.00032586188,0.00007000769,0.9425851,0.0025553494,0.0034585535,0.0005616405,0.011858194],"study_design_scores_gemma":[0.000033541546,0.00023747403,0.079179294,0.000008556695,0.00007381431,0.000108682696,0.00035948827,0.91439676,0.0023654136,0.0021077765,0.0010954498,0.000033854332],"about_ca_topic_score_codex":0.02079574,"about_ca_topic_score_gemma":0.013235627,"teacher_disagreement_score":0.02079574,"about_ca_system_score_codex":0.0025137486,"about_ca_system_score_gemma":0.0007719741,"threshold_uncertainty_score":0.04134935},"labels":[],"label_agreement":null},{"id":"W4313260633","doi":"10.3390/en16010210","title":"Detection and Diagnosis of Multiple-Dependent Faults (MDFDD) of Water-Cooled Centrifugal Chillers Using Grey-Box Model-Based Method","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Gina Cody School of Engineering and Computer Science, Concordia University","keywords":"Fault (geology); Variable (mathematics); Chiller; Fault detection and isolation; Benchmarking; Residual; Reliability engineering; Automation; Dependency (UML); Engineering; Computer science; Algorithm; Artificial intelligence; Mathematics; Actuator; Mechanical engineering","score_opus":0.009872166163921142,"score_gpt":0.21308805731850716,"score_spread":0.20321589115458602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313260633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06328245,0.00030005918,0.9331551,0.00010604913,0.000023442168,0.00008412041,0.0001689403,0.0010886386,0.0017911757],"genre_scores_gemma":[0.947713,0.00011406486,0.05119036,0.000023255265,0.000005004816,0.000085336666,0.00012160081,0.000031573756,0.00071577006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999488,0.00013961016,0.000033116863,0.00013053269,0.00016429918,0.00004438763],"domain_scores_gemma":[0.9987847,0.00082667894,0.00013086598,0.000052870502,0.00018013561,0.000024727075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091004913,0.0010159996,0.0009921163,0.0008342082,0.00030169103,0.0008413238,0.0008995249,0.0009096811,0.0011217956],"category_scores_gemma":[0.0025095576,0.00041684383,0.00087308936,0.00033280315,0.0003933828,0.0006020123,0.0005024722,0.0006604833,0.00014472127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007276445,0.000026843012,0.0014435417,0.00009088905,0.00003513793,0.00007351875,0.000043052307,0.9758128,0.0028587105,0.001075748,0.00012104455,0.018345974],"study_design_scores_gemma":[0.0000034756674,0.000016040547,0.00020283525,0.000003593796,0.000004900589,0.000008788941,0.000003051918,0.998444,0.0008575518,0.00038445985,0.00006823883,0.0000031054233],"about_ca_topic_score_codex":0.0091611305,"about_ca_topic_score_gemma":0.005350801,"teacher_disagreement_score":0.0091611305,"about_ca_system_score_codex":0.0007884718,"about_ca_system_score_gemma":0.0009135616,"threshold_uncertainty_score":0.018215656},"labels":[],"label_agreement":null},{"id":"W4313260804","doi":"10.3390/en16010245","title":"A Novel Workflow for Early Time Transient Pressure Data Interpretation in Tight Oil Reservoirs with Physical Constraints","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Pressure gradient; Transient (computer programming); Permeability (electromagnetism); Mechanics; Constraint (computer-aided design); Mathematics; Mathematical optimization; Computer science; Applied mathematics; Physics; Chemistry; Geometry","score_opus":0.010166208402453409,"score_gpt":0.21876874028077747,"score_spread":0.20860253187832406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313260804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072508883,0.0002039045,0.9768092,0.00015269485,0.000080005266,0.0001631295,0.0008293554,0.012982974,0.001527926],"genre_scores_gemma":[0.13311502,0.00049019855,0.8583237,0.00022437659,0.00008648294,0.0005741614,0.0024198978,0.002031487,0.00273467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989003,0.000118569835,0.00013112875,0.00031955537,0.00043449496,0.00009597803],"domain_scores_gemma":[0.9978148,0.00063651643,0.00024093736,0.00043694823,0.0007534921,0.000117271964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016057411,0.0020747138,0.0013055352,0.002747443,0.0010317179,0.0032090445,0.002395722,0.0014831051,0.007816762],"category_scores_gemma":[0.0045507187,0.0009005836,0.001520827,0.0015849422,0.00065740925,0.002400752,0.0023636974,0.002044125,0.002899174],"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":[0.0011853471,0.00034591777,0.0128588965,0.0025382054,0.00034556712,0.0029492779,0.0018360958,0.094108954,0.25615424,0.022776479,0.019146778,0.5857543],"study_design_scores_gemma":[0.00010915034,0.00018157657,0.0043777693,0.00014962413,0.00011649017,0.0008765129,0.00056886015,0.7811643,0.15155444,0.024716007,0.035933517,0.00025166388],"about_ca_topic_score_codex":0.0033187603,"about_ca_topic_score_gemma":0.004135784,"teacher_disagreement_score":0.007816762,"about_ca_system_score_codex":0.00060911826,"about_ca_system_score_gemma":0.0024855435,"threshold_uncertainty_score":0.02614969},"labels":[],"label_agreement":null},{"id":"W4313388699","doi":"10.3390/en16010472","title":"A State-of-the-Art Review of Smart Energy Systems and Their Management in a Smart Grid Environment","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Smart grid; Distributed generation; Electricity; Energy management system; Computer science; Grid; Demand response; Automation; Electric power system; Energy management; Distributed computing; Engineering; Renewable energy; Electrical engineering; Energy (signal processing); Power (physics)","score_opus":0.019951738586446836,"score_gpt":0.22278384285322242,"score_spread":0.2028321042667756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313388699","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":[0.00028341907,0.9950949,0.00043462001,0.00052700227,0.0003202069,0.000008677984,0.000054797765,0.000013276156,0.0032630635],"genre_scores_gemma":[0.0013085124,0.9972084,0.00034366298,0.00024329078,0.00017781532,0.000006359309,0.00005944956,0.0000023979978,0.00065006147],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996618,0.000056490742,0.000055163717,0.00006166012,0.00013404866,0.000030861698],"domain_scores_gemma":[0.99905926,0.00052575994,0.0001148965,0.00003071453,0.00022807487,0.000041223964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006209346,0.0007867976,0.00097189227,0.0029979085,0.00036517027,0.0012962451,0.0006972336,0.0009616953,0.0062312945],"category_scores_gemma":[0.0014570598,0.0003344233,0.0006024055,0.00598563,0.00035847834,0.0020609421,0.0005933583,0.0011304041,0.0021384605],"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":[0.000045328314,0.000077758334,0.00047246163,0.043046355,0.00010618618,0.00021176675,0.0001761518,0.0007172905,0.0017137728,0.01018319,0.049428515,0.8938211],"study_design_scores_gemma":[0.0000035226908,0.000058074067,0.0010445385,0.007840467,0.00014604664,0.0006176081,0.00011121287,0.00014475954,0.00035590015,0.0024792156,0.9871783,0.000020413405],"about_ca_topic_score_codex":0.0013491779,"about_ca_topic_score_gemma":0.0028003638,"teacher_disagreement_score":0.0062312945,"about_ca_system_score_codex":0.00055097206,"about_ca_system_score_gemma":0.0018799315,"threshold_uncertainty_score":0.02084583},"labels":[],"label_agreement":null},{"id":"W4313389249","doi":"10.3390/en16010465","title":"A Deep Learning Method for Facies Recognition from Core Images and Its Application: A Case Study of Mackay River Oil Sands Reservoir","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Facies; Artificial intelligence; Computer science; Pattern recognition (psychology); Support vector machine; Block (permutation group theory); Identification (biology); Convolutional neural network; Similarity (geometry); Feature (linguistics); Segmentation; Preprocessor; Core (optical fiber); Transformation (genetics); Image (mathematics); Geology; Mathematics","score_opus":0.03846097420763184,"score_gpt":0.2946607310252686,"score_spread":0.25619975681763674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313389249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8961225,0.0007807644,0.09822256,0.00044743821,0.000039956667,0.00009325194,0.0004086524,0.000918538,0.002966333],"genre_scores_gemma":[0.9436262,0.00027178772,0.052959617,0.00003634968,0.000009315048,0.000027340564,0.00028216667,0.000025483285,0.0027617035],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998505,0.00002133507,0.000010927171,0.000034792047,0.000054232707,0.000028161972],"domain_scores_gemma":[0.9998288,0.000049367776,0.000014830035,0.000017031574,0.000073431824,0.000016576949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037163106,0.0005920967,0.00041191131,0.0008572817,0.00034423728,0.00036552592,0.00047553165,0.0005699198,0.0006918593],"category_scores_gemma":[0.0005572365,0.00020286391,0.0004243232,0.0007137848,0.0003100079,0.00036781636,0.0003395223,0.00029276626,0.00013150256],"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":[0.00054519053,0.0003494264,0.028665517,0.00036974566,0.000103862665,0.0040003713,0.00043825715,0.2287839,0.07537522,0.0015727675,0.0034913775,0.65630436],"study_design_scores_gemma":[0.00001589715,0.00009461366,0.011987042,0.000013243356,0.000029576551,0.0003131326,0.00020000372,0.9659954,0.019589126,0.00035761754,0.001375425,0.000028976068],"about_ca_topic_score_codex":0.05564028,"about_ca_topic_score_gemma":0.06259482,"teacher_disagreement_score":0.05564028,"about_ca_system_score_codex":0.00058206584,"about_ca_system_score_gemma":0.00064475206,"threshold_uncertainty_score":0.11063284},"labels":[],"label_agreement":null},{"id":"W4313408619","doi":"10.3390/en15249558","title":"Design and Analysis of an Offshore Wind Power to Ammonia Production System in Nova Scotia","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Environmental science; Renewable energy; Wind power; Ammonia production; Cost of electricity by source; Offshore wind power; Electricity generation; Engineering; Environmental engineering; Waste management; Ammonia; Electrical engineering; Power (physics); Chemistry; Physics","score_opus":0.01248743900081965,"score_gpt":0.22199412949751268,"score_spread":0.20950669049669304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313408619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9521359,0.00014301432,0.023549844,0.0001678197,0.000034533434,0.0005663964,0.00030074513,0.00029548228,0.022806231],"genre_scores_gemma":[0.9913288,0.00004944582,0.002978864,0.000015086338,0.0000021773908,0.00006932063,0.000083321225,0.000011012041,0.0054621254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983346,0.000028812145,0.0000048190673,0.000030171926,0.000049010127,0.000053723703],"domain_scores_gemma":[0.9998522,0.000027428883,0.000019142146,0.0000050920357,0.00006989998,0.000026244232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020783654,0.0006053621,0.00035288342,0.00030482508,0.0008584605,0.00094437785,0.00059000176,0.0004154714,0.0021222339],"category_scores_gemma":[0.00023544741,0.0003151315,0.0004291146,0.00016821254,0.00039857463,0.00020115256,0.0003860176,0.00027025462,0.00026047535],"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":[0.000705927,0.00018695556,0.010864031,0.000251719,0.00005770129,0.001974954,0.00019926879,0.92642105,0.04541971,0.0014514294,0.00087679655,0.0115905255],"study_design_scores_gemma":[0.00012451896,0.00076652487,0.010966588,0.000019241701,0.00006529198,0.00007465174,0.00033904644,0.97745687,0.008288169,0.00027436987,0.0015990369,0.000025615616],"about_ca_topic_score_codex":0.25158298,"about_ca_topic_score_gemma":0.22795619,"teacher_disagreement_score":0.748417,"about_ca_system_score_codex":0.0026824612,"about_ca_system_score_gemma":0.0027003593,"threshold_uncertainty_score":0.5002372},"labels":[],"label_agreement":null},{"id":"W4313408647","doi":"10.3390/en15249552","title":"Protection of Multi-Terminal HVDC Grids: A Comprehensive Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Grid; Reliability engineering; Computer science; Terminal (telecommunication); Reliability (semiconductor); Fault (geology); Interoperability; Engineering; Risk analysis (engineering); Systems engineering; Telecommunications","score_opus":0.09451923924672771,"score_gpt":0.3152829493625685,"score_spread":0.22076371011584078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313408647","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":[0.00039586998,0.9950393,0.0011960607,0.00016212405,0.00020089648,0.000014920954,0.000045858633,0.00002207499,0.0029228397],"genre_scores_gemma":[0.0022985153,0.9956731,0.00091405085,0.000086051776,0.00010768204,0.000009464058,0.00007266438,0.0000044087824,0.0008339892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980754,0.000026277445,0.000032446856,0.00003656465,0.00007955165,0.000017745939],"domain_scores_gemma":[0.9995759,0.0001835108,0.00006869649,0.000018056366,0.00013320743,0.000020497982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051053305,0.0009980472,0.0010497315,0.0024612409,0.0002685289,0.00094564515,0.0008842398,0.0008076602,0.004291159],"category_scores_gemma":[0.0006125703,0.0003438131,0.00063740567,0.0026253725,0.00025820994,0.0013565763,0.0005241542,0.00077626074,0.0017682096],"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":[0.0000522277,0.000081656384,0.00022879333,0.038244665,0.000109528104,0.00021466782,0.00008684521,0.0021905808,0.003064833,0.005986206,0.017653346,0.9320866],"study_design_scores_gemma":[0.000009052283,0.00015726806,0.0007842729,0.0070330366,0.00022346564,0.0010143251,0.00008540085,0.0005723945,0.0017355084,0.002078924,0.98627824,0.000028208982],"about_ca_topic_score_codex":0.0010907328,"about_ca_topic_score_gemma":0.0012927153,"teacher_disagreement_score":0.004291159,"about_ca_system_score_codex":0.00036367556,"about_ca_system_score_gemma":0.001113041,"threshold_uncertainty_score":0.014355302},"labels":[],"label_agreement":null},{"id":"W4313410916","doi":"10.3390/en15249632","title":"The Influence of Particle Size and Hydrate Formation Path on the Geomechanical Behavior of Hydrate Bearing Sands","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Hydrate; Saturation (graph theory); Stiffness; Shearing (physics); Particle size; Particle (ecology); Geotechnical engineering; Geology; Clathrate hydrate; Mineralogy; Stress path; Particle-size distribution; Materials science; Chemistry; Composite material; Petrology; Shear (geology)","score_opus":0.008086436883408125,"score_gpt":0.19991426241953505,"score_spread":0.19182782553612693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313410916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983707,0.00011707184,0.0007158727,0.000011281748,0.0000053578665,0.0000120923105,0.00008008052,0.000022710696,0.0006647629],"genre_scores_gemma":[0.9990797,0.00008175865,0.00056418154,0.0000066449825,0.0000010910039,0.000008126158,0.00004813242,0.000007395057,0.00020292393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998604,0.000011767897,0.00001347793,0.000031694304,0.000057591697,0.000025095822],"domain_scores_gemma":[0.9996209,0.00016842665,0.00006634207,0.000021044947,0.00007937275,0.000043849184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025696773,0.00018939479,0.00014903148,0.00023806615,0.00020908754,0.00033132697,0.00014815062,0.00013704367,0.00067883387],"category_scores_gemma":[0.00066394405,0.0001800371,0.00013640276,0.00011703222,0.0003289093,0.00022825322,0.00018690957,0.00022473991,0.000105709434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015342196,0.000020598523,0.0062992782,0.000077937395,0.000016114058,0.000106106,0.00009560289,0.0019401365,0.98650557,0.00012857048,0.000057903464,0.0045987894],"study_design_scores_gemma":[0.000009392334,0.00027298005,0.04676312,0.000007856439,0.00002445392,0.000076920274,0.00018070741,0.005514183,0.94611764,0.00005060658,0.000966731,0.000015425481],"about_ca_topic_score_codex":0.0028553745,"about_ca_topic_score_gemma":0.008155978,"teacher_disagreement_score":0.0028553745,"about_ca_system_score_codex":0.00035822348,"about_ca_system_score_gemma":0.00022150358,"threshold_uncertainty_score":0.0056774616},"labels":[],"label_agreement":null},{"id":"W4313411143","doi":"10.3390/en15249572","title":"Utilizing Rooftop Renewable Energy Potential for Electric Vehicle Charging Infrastructure Using Multi-Energy Hub Approach","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emmanuel Bible College; University of Waterloo","funders":"","keywords":"Renewable energy; Electric vehicle; Electricity; Environmental economics; Photovoltaic system; Wind power; Abu dhabi; Automotive engineering; Environmental science; Engineering; Electrical engineering; Economics","score_opus":0.00928745775510509,"score_gpt":0.200243425059481,"score_spread":0.19095596730437592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313411143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3185934,0.0007766848,0.6350442,0.00035773407,0.000054234653,0.00014820433,0.0004893522,0.0003650769,0.044171125],"genre_scores_gemma":[0.96549094,0.0002906798,0.030304506,0.000026369811,0.000013422976,0.000047477795,0.00012542431,0.00003403222,0.0036670647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998816,0.000031687876,0.0000027885849,0.000021654827,0.000029632527,0.00003256067],"domain_scores_gemma":[0.9999007,0.0000452353,0.000013707425,0.0000061303804,0.000023213943,0.00001095953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020315038,0.00050806155,0.0004777441,0.00085047935,0.00028388933,0.0011337104,0.0007526449,0.00074732257,0.003712796],"category_scores_gemma":[0.00033398235,0.00038455136,0.0009837024,0.0006011437,0.00020627807,0.00065912947,0.000459242,0.0003474304,0.00031900464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017056007,0.000022248618,0.0008737303,0.000028157956,0.000017417238,0.0001153016,0.000012048171,0.9876615,0.0014307804,0.0026441892,0.00017542437,0.0070022657],"study_design_scores_gemma":[0.0000014736279,0.000011845118,0.00025725935,0.0000036069077,0.0000071013624,0.000016774231,0.000020782329,0.99836,0.0001892266,0.00088275044,0.0002454299,0.0000037593643],"about_ca_topic_score_codex":0.008142958,"about_ca_topic_score_gemma":0.011638549,"teacher_disagreement_score":0.008142958,"about_ca_system_score_codex":0.0008645238,"about_ca_system_score_gemma":0.0006753815,"threshold_uncertainty_score":0.016191125},"labels":[],"label_agreement":null},{"id":"W4313472027","doi":"10.3390/en16010455","title":"In-Situ Generation of Nitrogen-Doped MoS2 Quantum Dots Using Laser Ablation in Cryogenic Medium for Hydrogen Evolution Reaction","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"2D Materials and Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"X-ray photoelectron spectroscopy; Tafel equation; Materials science; Analytical Chemistry (journal); Dopant; Quantum dot; Overpotential; Spectroscopy; Molybdenum disulfide; Photoluminescence; Doping; Nanotechnology; Chemical engineering; Electrode; Chemistry; Optoelectronics; Electrochemistry; Organic chemistry; Physical chemistry","score_opus":0.03621757525979994,"score_gpt":0.2767798926263078,"score_spread":0.24056231736650788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313472027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98510253,0.00062245753,0.011639057,0.000093473755,0.000031945132,0.0000321873,0.0003614685,0.00008548277,0.0020313282],"genre_scores_gemma":[0.9889854,0.00036065,0.0087251095,0.000020532185,0.0000041255576,0.000027887363,0.00014840113,0.000020870144,0.0017070086],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999317,0.000006233179,0.000003848377,0.000024751196,0.000022736163,0.0000107953465],"domain_scores_gemma":[0.99996734,0.000006006323,0.0000086703385,0.000005544705,0.000008505429,0.0000039890338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008832398,0.00023606986,0.0001498044,0.0000713606,0.0001330106,0.00017897233,0.00024030423,0.00027580294,0.0008118698],"category_scores_gemma":[0.000081682185,0.00013846769,0.00016865821,0.000088607674,0.000113818525,0.0002942471,0.00017903378,0.00022212962,0.00021138815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009281806,0.000004157356,0.00004188103,0.000020983825,0.0000016597144,0.0000198701,0.000010980849,0.000049061204,0.99940467,0.00006157169,0.000016817905,0.00035905637],"study_design_scores_gemma":[0.0000014478592,0.000017084869,0.00014467468,7.712112e-7,0.000001620318,0.000018250443,0.000006154795,0.0006085649,0.9987482,0.000012383599,0.00043940864,0.0000014177374],"about_ca_topic_score_codex":0.0005179232,"about_ca_topic_score_gemma":0.0012842378,"teacher_disagreement_score":0.0008118698,"about_ca_system_score_codex":0.00022187055,"about_ca_system_score_gemma":0.000103131235,"threshold_uncertainty_score":0.0027160048},"labels":[],"label_agreement":null},{"id":"W4313472747","doi":"10.3390/en16010438","title":"Analysis and Modeling of Value Creation Opportunities and Governing Factors for Electric Vehicle Proliferation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Timeline; Electric vehicle; Environmental economics; Sustainability; Market share; Market penetration; Grid; Offset (computer science); Business; Computer science; Industrial organization; Economics; Marketing","score_opus":0.014785369273531449,"score_gpt":0.21041959429783305,"score_spread":0.1956342250243016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313472747","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38609707,0.0012811257,0.5178451,0.0015033043,0.000099086836,0.00014807381,0.0005273855,0.0001115123,0.09238738],"genre_scores_gemma":[0.981389,0.0006397671,0.007834547,0.00004138128,0.00003100329,0.00008099975,0.000105387706,0.000023524506,0.009854338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997403,0.000066657405,0.000008775813,0.00004626295,0.000060932536,0.000077088116],"domain_scores_gemma":[0.99929714,0.0004338174,0.000123087,0.00002212537,0.000088094166,0.000035699737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006923114,0.0005007906,0.0003983579,0.00081543473,0.00041997686,0.0016521402,0.0008733232,0.0010799607,0.0033901893],"category_scores_gemma":[0.0019606974,0.00042457326,0.0007822292,0.000772079,0.0008483823,0.0020128435,0.00082472735,0.001126001,0.00019850835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014791545,0.000034260367,0.0024393722,0.00003287349,0.000012209597,0.0001947581,0.000056155583,0.90197116,0.001106116,0.088696875,0.000496244,0.004945156],"study_design_scores_gemma":[0.0000021759251,0.0000107342685,0.00061047915,0.000008326724,0.0000052397327,0.00003742264,0.000059484897,0.9816621,0.0001972028,0.01651292,0.00088641373,0.000007417315],"about_ca_topic_score_codex":0.006961478,"about_ca_topic_score_gemma":0.0055604014,"teacher_disagreement_score":0.006961478,"about_ca_system_score_codex":0.0015199417,"about_ca_system_score_gemma":0.0013133242,"threshold_uncertainty_score":0.013841867},"labels":[],"label_agreement":null},{"id":"W4313502480","doi":"10.3390/en16010058","title":"Heat Transfer of Buoyancy and Radiation on the Free Convection Boundary Layer MHD Flow across a Stretchable Porous Sheet","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mechanics; Nusselt number; Buoyancy; Laminar flow; Boundary layer; Heat transfer; Combined forced and natural convection; Natural convection; Magnetohydrodynamics; Thermodynamics; Materials science; Physics; Reynolds number; Magnetic field; Turbulence","score_opus":0.00914053263419842,"score_gpt":0.19998086210048877,"score_spread":0.19084032946629034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313502480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96559364,0.00078208785,0.028223041,0.00020281917,0.00007145961,0.00003493154,0.000039837112,0.000060999075,0.0049912236],"genre_scores_gemma":[0.9980458,0.0001707135,0.0010715689,0.000008121147,0.000013751195,0.000006596185,0.000007392732,0.0000034717473,0.0006724465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990237,0.0000273788,0.0000044413127,0.0000149562175,0.000031583146,0.00001934668],"domain_scores_gemma":[0.999718,0.00018606146,0.00004164655,0.000010917203,0.000026626605,0.000016795302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024723547,0.0003417222,0.0003108896,0.00035736835,0.00034867637,0.00039366714,0.00025603815,0.0004058072,0.00055706815],"category_scores_gemma":[0.0009137034,0.00012778415,0.00036962592,0.00019213221,0.0007717697,0.0005825068,0.00057583133,0.00027955027,0.00005989232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044396528,0.00014720687,0.004105325,0.0004989842,0.000044170018,0.0022800476,0.00070010667,0.6709853,0.26952016,0.016357172,0.00035268412,0.034564838],"study_design_scores_gemma":[0.000029538593,0.00016161545,0.0033872544,0.000017345397,0.000020981464,0.00014670764,0.0000828458,0.97416466,0.019533742,0.0019315215,0.00049801957,0.000025894351],"about_ca_topic_score_codex":0.0022205622,"about_ca_topic_score_gemma":0.0006365117,"teacher_disagreement_score":0.0022205622,"about_ca_system_score_codex":0.00031136328,"about_ca_system_score_gemma":0.00025988894,"threshold_uncertainty_score":0.0044152737},"labels":[],"label_agreement":null},{"id":"W4313502532","doi":"10.3390/en16010053","title":"Energy Policy for Agrivoltaics in Alberta Canada","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Software deployment; Renewable energy; Photovoltaic system; Environmental economics; Sustainability; Business; Context (archaeology); Electricity generation; Government (linguistics); Electricity; Environmental resource management; Environmental stewardship; Engineering; Economics; Power (physics)","score_opus":0.0038838805278058487,"score_gpt":0.19367624495788016,"score_spread":0.1897923644300743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313502532","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":[0.08381432,0.08211202,0.0043319883,0.08664257,0.0031575104,0.00043899525,0.005804409,0.00058372016,0.7331145],"genre_scores_gemma":[0.39721116,0.06717118,0.011017046,0.029116994,0.0002806547,0.00017364648,0.004543316,0.0001551521,0.49033087],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988549,0.000082313025,0.000021645898,0.00006592488,0.00062793575,0.00034724092],"domain_scores_gemma":[0.9983885,0.00016218661,0.000056399418,0.000031394055,0.0010828595,0.00027869182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010668824,0.0003780147,0.0002336343,0.0013129171,0.0044808956,0.0037564042,0.0010360038,0.0016392088,0.009366118],"category_scores_gemma":[0.0012820021,0.00025074603,0.00041839902,0.0025694342,0.0011489787,0.00075275183,0.0009794781,0.0015660467,0.00064628304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021413276,0.00017768786,0.016176498,0.002025451,0.0001067801,0.002049955,0.0021538497,0.010533723,0.0066406513,0.2796854,0.43905216,0.24118368],"study_design_scores_gemma":[0.000022630884,0.000024427361,0.015195926,0.0005483035,0.0000333547,0.00009157174,0.0012969582,0.0008695988,0.00070595444,0.0032681439,0.9778992,0.000043845852],"about_ca_topic_score_codex":0.989056,"about_ca_topic_score_gemma":0.9962668,"teacher_disagreement_score":0.07913633,"about_ca_system_score_codex":0.07913633,"about_ca_system_score_gemma":0.20747977,"threshold_uncertainty_score":0.5741769},"labels":[],"label_agreement":null},{"id":"W4313502747","doi":"10.3390/en16010032","title":"Charging Stations and Electromobility Development: A Cross-Country Comparative Analysis","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","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":"York University","funders":"Ministerstwo Edukacji i Nauki; Narodowe Centrum Nauki; York University","keywords":"Automotive industry; Charging station; Transport engineering; Electric vehicle; Cluster (spacecraft); Computer science; Environmental economics; Telecommunications; Engineering; Economics","score_opus":0.006751469571561288,"score_gpt":0.2333033288507147,"score_spread":0.22655185927915342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313502747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99293303,0.0011264335,0.00041043316,0.000074496,0.000011779607,0.000018984625,0.00037757054,0.000002675644,0.0050446116],"genre_scores_gemma":[0.99867684,0.00058742525,0.00014246677,0.0000072853463,0.0000057862258,0.00000817952,0.0002462147,0.0000011296033,0.00032457258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884415,0.0005218198,0.000076384385,0.00013689057,0.00016392532,0.0002567604],"domain_scores_gemma":[0.9971818,0.0014354062,0.0005463302,0.000116236624,0.0005618044,0.00015846231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013052281,0.00020584208,0.00034525566,0.0045767548,0.00055746175,0.0014185268,0.00027865777,0.00029424342,0.0046257577],"category_scores_gemma":[0.003045739,0.0001650291,0.0009224684,0.0070991777,0.0004755856,0.0010551533,0.0011763059,0.00033751866,0.000344152],"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":[0.00019576351,0.00015812056,0.9598752,0.00040281695,0.0011717997,0.0010769361,0.004569995,0.0016046218,0.00039861977,0.0056384495,0.00067376776,0.024233965],"study_design_scores_gemma":[0.000005542814,0.00022724962,0.97288394,0.00015033725,0.00048448532,0.00029490207,0.021189691,0.00094729895,0.000204006,0.00023649858,0.0033571357,0.00001898375],"about_ca_topic_score_codex":0.014632512,"about_ca_topic_score_gemma":0.0211709,"teacher_disagreement_score":0.014632512,"about_ca_system_score_codex":0.00089685636,"about_ca_system_score_gemma":0.0006806964,"threshold_uncertainty_score":0.029094696},"labels":[],"label_agreement":null},{"id":"W4313572607","doi":"10.3390/en16020640","title":"Assessment of the Performance of Phasor-Based and Transients-Based Faulted Phase Identification Techniques in the Presence of Inverter Interfaced Resources","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Phasor; Inverter; Transient (computer programming); Engineering; Identification (biology); Electric power system; Three-phase; Photovoltaic system; Control engineering; Electronic engineering; Computer science; Power (physics); Electrical engineering; Voltage","score_opus":0.011293952711361983,"score_gpt":0.278794008059193,"score_spread":0.26750005534783106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313572607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87813514,0.0006072123,0.1175377,0.000079449936,0.000043184562,0.000111040754,0.0001678875,0.0006476335,0.0026707614],"genre_scores_gemma":[0.9887074,0.00011421352,0.010756643,0.000007597982,0.0000051530437,0.000017896695,0.00007454276,0.0000136603885,0.00030295033],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941206,0.00018279154,0.00004968014,0.00010115978,0.0002097441,0.00004464517],"domain_scores_gemma":[0.99672145,0.0018612158,0.00049037323,0.00029468042,0.00057981815,0.00005249247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097080535,0.00056165614,0.0003284787,0.00062763266,0.00015892662,0.00040856042,0.00044646556,0.00068982126,0.0006974695],"category_scores_gemma":[0.004750319,0.00010524114,0.00016767655,0.00042907736,0.00028359526,0.00079584704,0.0003084989,0.00032910562,0.00026500635],"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":[0.0053761355,0.0008830106,0.02141983,0.001891229,0.00032772942,0.000549408,0.0007204146,0.31321955,0.28515783,0.0021754017,0.00085788534,0.3674215],"study_design_scores_gemma":[0.00012524419,0.0062005185,0.03401129,0.00008099369,0.00013253944,0.00074154075,0.00026486875,0.7221194,0.23374371,0.0006879981,0.0018263554,0.00006553349],"about_ca_topic_score_codex":0.00066494936,"about_ca_topic_score_gemma":0.00076816883,"teacher_disagreement_score":0.00097080535,"about_ca_system_score_codex":0.00022581949,"about_ca_system_score_gemma":0.00017771684,"threshold_uncertainty_score":0.005134225},"labels":[],"label_agreement":null},{"id":"W4313889658","doi":"10.3390/en16020762","title":"Electric Vehicle Charging Station Based on Photovoltaic Energy with or without the Support of a Fuel Cell–Electrolyzer Unit","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Council of Thailand; Agence Nationale de la Recherche; King Mongkut's University of Technology North Bangkok; Université de Lorraine","keywords":"Photovoltaic system; Automotive engineering; Electric vehicle; Renewable energy; Battery (electricity); Charging station; Engineering; Energy management; Battery pack; Electrical engineering; Power (physics); Energy (signal processing)","score_opus":0.014119548806764283,"score_gpt":0.2441799525714906,"score_spread":0.23006040376472633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313889658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7125115,0.00045326294,0.24301782,0.00013375854,0.00016652745,0.0005596436,0.0013525352,0.0019685635,0.039836355],"genre_scores_gemma":[0.97724473,0.00014974222,0.015412059,0.000020037274,0.000007398169,0.000082175466,0.0003579072,0.000031120137,0.0066948757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972755,0.000026024934,0.000020158515,0.000056980352,0.00013574628,0.00003355758],"domain_scores_gemma":[0.99989426,0.000010461061,0.00001211988,0.00002048776,0.000054925695,0.000007695164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013030999,0.00037000971,0.00039662624,0.00032127477,0.0003091148,0.0006240547,0.0010549005,0.00041577272,0.0036968782],"category_scores_gemma":[0.00021906491,0.00019097571,0.00038364308,0.00043525244,0.00016850037,0.00040917486,0.00023196469,0.00025662372,0.0009734251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013693458,0.00063334993,0.008051451,0.0011945514,0.00028040932,0.0007228422,0.00015454397,0.20692916,0.44976458,0.009496117,0.0050843414,0.31631935],"study_design_scores_gemma":[0.00034184157,0.0045195916,0.021707967,0.00007506964,0.00054561405,0.0018319897,0.00030866382,0.34881842,0.52816486,0.0030531327,0.09052516,0.00010770174],"about_ca_topic_score_codex":0.0013653914,"about_ca_topic_score_gemma":0.0026835508,"teacher_disagreement_score":0.0036968782,"about_ca_system_score_codex":0.00046380368,"about_ca_system_score_gemma":0.00055198703,"threshold_uncertainty_score":0.012367308},"labels":[],"label_agreement":null},{"id":"W4313889694","doi":"10.3390/en16020721","title":"Electricity Production and Sustainable Development: The Role of Renewable Energy Sources and Specific Socioeconomic Factors","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":33,"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":"Electricity generation; Gross domestic product; Renewable energy; Per capita; Natural resource economics; Electricity; Economics; Sustainable development; Sustainability; Environmental economics; Nuclear power; Business; Economic growth; Engineering","score_opus":0.010722641286251633,"score_gpt":0.1683830695392809,"score_spread":0.15766042825302926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313889694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9186187,0.017756255,0.0060114996,0.0050251177,0.00009065656,0.000053974167,0.008207736,0.000023303346,0.044212736],"genre_scores_gemma":[0.9887793,0.0057664495,0.00069318566,0.00011003122,0.000046669928,0.000015030816,0.0024935605,0.000005692587,0.0020900078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999754,0.000072096766,0.00001598976,0.000041254243,0.00007319701,0.000043548407],"domain_scores_gemma":[0.99951184,0.00023193598,0.00012679661,0.000026784654,0.00006591309,0.000036805413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028989042,0.00021319691,0.0003073897,0.0010783261,0.00020426176,0.0014440102,0.00016212216,0.00026073525,0.0029937355],"category_scores_gemma":[0.0011106245,0.00007427628,0.0003690214,0.003772269,0.00044792134,0.0011438832,0.0006999756,0.00051782693,0.0002894952],"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":[0.0000615903,0.0000870943,0.78518844,0.00069002894,0.00045811792,0.0012613331,0.0005047103,0.039521962,0.0005672506,0.06335126,0.006984312,0.101323865],"study_design_scores_gemma":[0.00000910035,0.000076156124,0.87938267,0.00043675245,0.00018549856,0.0002760925,0.0035681746,0.024169499,0.00073776837,0.02600619,0.06510648,0.000045503577],"about_ca_topic_score_codex":0.025408415,"about_ca_topic_score_gemma":0.035438582,"teacher_disagreement_score":0.025408415,"about_ca_system_score_codex":0.00069990294,"about_ca_system_score_gemma":0.00085970917,"threshold_uncertainty_score":0.050521076},"labels":[],"label_agreement":null},{"id":"W4313889706","doi":"10.3390/en16020732","title":"Recovery and Reuse of Valuable Chemicals Derived from Hydrothermal Carbonization Process Liquid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Hydrothermal carbonization; Solvent; Chemistry; Furfural; Acetic acid; Carbonization; Fourier transform infrared spectroscopy; Nuclear chemistry; Chemical engineering; Chromatography; Organic chemistry; Adsorption; Catalysis","score_opus":0.007348896054532617,"score_gpt":0.20385660440990194,"score_spread":0.19650770835536932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313889706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99116755,0.0011839195,0.003366803,0.000074652446,0.000016781087,0.000049505485,0.0007178931,0.00011181552,0.003311045],"genre_scores_gemma":[0.992273,0.00069949165,0.0033777468,0.00003160841,0.000007327981,0.00002614506,0.0006293018,0.00003988646,0.0029155577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987936,0.000009362583,0.000007713771,0.000021759859,0.00005483402,0.000026907224],"domain_scores_gemma":[0.9999378,0.000007878842,0.000013145705,0.000009163913,0.000019979268,0.00001198304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012713247,0.00036250244,0.00024823792,0.00058206165,0.00020909074,0.0002971273,0.00026500228,0.0003051042,0.0012688],"category_scores_gemma":[0.00017167513,0.0001071055,0.00033768197,0.00054101774,0.00013785955,0.00030217608,0.00021506341,0.00036244182,0.00051576865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005785578,0.000023718525,0.00023000066,0.000066681896,0.0000059774943,0.00016978345,0.000010915095,0.00018715495,0.9952029,0.000033057506,0.000045473404,0.003966507],"study_design_scores_gemma":[0.0000052484934,0.00015771211,0.0013599693,0.000009793534,0.000010968446,0.000110623674,0.000020172656,0.00046993207,0.99657226,0.000017846862,0.0012601558,0.0000052890828],"about_ca_topic_score_codex":0.0014557033,"about_ca_topic_score_gemma":0.003927507,"teacher_disagreement_score":0.0014557033,"about_ca_system_score_codex":0.00026954312,"about_ca_system_score_gemma":0.00029145312,"threshold_uncertainty_score":0.004244566},"labels":[],"label_agreement":null},{"id":"W4313894315","doi":"10.3390/en16020685","title":"Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Renewable energy; Energy management; Intermittent energy source; Computer science; Energy management system; Integer programming; Nuclear power; Automotive engineering; Engineering; Energy (signal processing); Electrical engineering; Distributed generation; Algorithm; Mathematics","score_opus":0.00947971950768006,"score_gpt":0.20921628152438146,"score_spread":0.1997365620167014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313894315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086438954,0.000661496,0.8843903,0.00045109293,0.00019100567,0.00026662293,0.00013814683,0.0010720473,0.026390418],"genre_scores_gemma":[0.9708339,0.00023886937,0.023299187,0.00008096409,0.000033040906,0.00027381937,0.00007073501,0.00001990095,0.005149597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999617,0.000091056776,0.000027742739,0.00009448904,0.00010712158,0.00006254212],"domain_scores_gemma":[0.99976283,0.00008142885,0.000051060153,0.000011595706,0.00007584035,0.000017381555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005619619,0.0007706775,0.00084571145,0.00027862962,0.00062639744,0.0015469174,0.0009916712,0.0007545566,0.0029068333],"category_scores_gemma":[0.0004948586,0.00037634952,0.0006354722,0.00037300325,0.00034278704,0.0005990543,0.00077428634,0.00077046495,0.0003385904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017107019,0.00012240522,0.000798843,0.00019529824,0.00006189031,0.00024170407,0.00009037413,0.9577647,0.0061169034,0.0033179335,0.0009643715,0.030154556],"study_design_scores_gemma":[0.000013342288,0.00008424989,0.00009527001,0.0000045939064,0.00001039255,0.000014678393,0.000009593095,0.9985013,0.0006054384,0.00028217453,0.0003737973,0.000005220711],"about_ca_topic_score_codex":0.0046420973,"about_ca_topic_score_gemma":0.004515017,"teacher_disagreement_score":0.0046420973,"about_ca_system_score_codex":0.00054050307,"about_ca_system_score_gemma":0.0009196891,"threshold_uncertainty_score":0.009724319},"labels":[],"label_agreement":null},{"id":"W4315574384","doi":"10.3390/en16020820","title":"Incorporation of Blockchain Technology for Different Smart Grid Applications: Architecture, Prospects, and Challenges","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Smart grid; Blockchain; Computer security; Digitization; Computer science; Architecture; Building automation; Grid; Systems engineering; Telecommunications; Engineering; Electrical engineering","score_opus":0.017337545215541098,"score_gpt":0.23203457500365582,"score_spread":0.21469702978811472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315574384","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11605969,0.07609038,0.62118196,0.021767003,0.0016168439,0.0007888585,0.00024459555,0.0016881811,0.16056253],"genre_scores_gemma":[0.7550885,0.07313846,0.12585722,0.0012463599,0.0007192838,0.00043446617,0.0004642261,0.00014650142,0.042904984],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992488,0.00022134314,0.00004740344,0.000090225614,0.0002854957,0.00010664167],"domain_scores_gemma":[0.99907875,0.00026405937,0.000058535406,0.00017675268,0.0003114806,0.0001104648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011707057,0.00046603105,0.00036584452,0.000614039,0.0007284158,0.0022081903,0.0009862563,0.0014733782,0.0036696244],"category_scores_gemma":[0.0010964443,0.0003123453,0.000384619,0.0012115383,0.0009579312,0.0053608823,0.0015604501,0.0013879712,0.0015573662],"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":[0.00021976304,0.00022821032,0.0026544433,0.0012160694,0.0000395545,0.0007243354,0.00085351145,0.026842384,0.021148877,0.41965434,0.011386236,0.5150322],"study_design_scores_gemma":[0.00008139804,0.00090148713,0.0011133116,0.0007415463,0.00006525906,0.0015956482,0.0007580727,0.19692594,0.039380644,0.30566436,0.45263556,0.00013665826],"about_ca_topic_score_codex":0.0008648168,"about_ca_topic_score_gemma":0.00079443364,"teacher_disagreement_score":0.0036696244,"about_ca_system_score_codex":0.00081797026,"about_ca_system_score_gemma":0.0010175572,"threshold_uncertainty_score":0.012276113},"labels":[],"label_agreement":null},{"id":"W4315647515","doi":"10.3390/en16020796","title":"Allocative Efficiency towards Energy Transition: The Cases of Natural Gas and Electricity Markets","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Allocative efficiency; Liberalization; Energy transition; Energy market; Economics; Context (archaeology); Electricity market; Energy policy; Electricity; Business; Emissions trading; Economic system; Renewable energy; Market economy; Greenhouse gas; Microeconomics","score_opus":0.014943866710836121,"score_gpt":0.1971069993356949,"score_spread":0.18216313262485878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315647515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9173926,0.00062670273,0.016395586,0.0018592476,0.000029201261,0.000054164466,0.000071100076,0.000015038291,0.06355634],"genre_scores_gemma":[0.9977996,0.000145146,0.0009771159,0.000022087324,0.000009914133,0.000011834429,0.000010123546,0.0000021000983,0.0010220798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986206,0.0006514258,0.0000359174,0.000097316624,0.00020560379,0.00038913218],"domain_scores_gemma":[0.9976896,0.0011654615,0.0005440056,0.00013515586,0.00019558042,0.00027020203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020829698,0.00027033247,0.00034687656,0.001191902,0.00093002367,0.002484813,0.0005102389,0.0010727906,0.002832616],"category_scores_gemma":[0.0065338677,0.00011597329,0.0009365438,0.0015568332,0.0029540465,0.0031722682,0.0024887754,0.0011356799,0.000109437395],"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":[0.00013999763,0.00018246303,0.021444695,0.00007530858,0.000045515288,0.0027449287,0.0013035769,0.045461092,0.00038184904,0.918833,0.0006948777,0.0086927125],"study_design_scores_gemma":[0.00012061051,0.00018972562,0.04599687,0.00012516035,0.00007839807,0.0016284856,0.010626061,0.29871395,0.0015493822,0.62730014,0.013585944,0.0000852457],"about_ca_topic_score_codex":0.005077565,"about_ca_topic_score_gemma":0.0037880316,"teacher_disagreement_score":0.005077565,"about_ca_system_score_codex":0.0014561054,"about_ca_system_score_gemma":0.0010022952,"threshold_uncertainty_score":0.011015952},"labels":[],"label_agreement":null},{"id":"W4315647552","doi":"10.3390/en16020813","title":"Proposal of a Simplified Tool for Early Acoustics Design Stage of Classrooms in Compliance with Speech Intelligibility Thresholds","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Noise Effects and Management","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Intelligibility (philosophy); CLARITY; Computer science; Speech recognition","score_opus":0.12322473029704566,"score_gpt":0.41736431790044715,"score_spread":0.2941395876034015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315647552","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":[0.013113614,0.00018228887,0.9775599,0.00014786678,0.000066254346,0.00058949617,0.0002770002,0.004857883,0.0032056037],"genre_scores_gemma":[0.11643812,0.0002521703,0.87963283,0.000059971204,0.000029360053,0.0010620432,0.00040937608,0.00026355567,0.0018526214],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99469584,0.001957443,0.0006035468,0.0007804571,0.0017593375,0.00020342476],"domain_scores_gemma":[0.99102,0.004579806,0.0007471517,0.0006850559,0.0027588212,0.00020919254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005148599,0.0023406146,0.0013533366,0.0052593006,0.00081714254,0.0032160287,0.002719278,0.0016642618,0.0059628887],"category_scores_gemma":[0.019638201,0.0010466654,0.0010973937,0.0016404393,0.0007777446,0.0026209573,0.0016908355,0.0010024374,0.0026573641],"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":[0.0010260862,0.0007557869,0.016387492,0.0022916866,0.00018932749,0.0010325384,0.0030181005,0.055846225,0.086672105,0.028723743,0.008795361,0.79526156],"study_design_scores_gemma":[0.00035872133,0.0020802433,0.020742612,0.0010821295,0.0006358187,0.0015362453,0.0023281537,0.7716264,0.108529486,0.020062253,0.07037215,0.00064583943],"about_ca_topic_score_codex":0.0023525702,"about_ca_topic_score_gemma":0.0020919172,"teacher_disagreement_score":0.0059628887,"about_ca_system_score_codex":0.00074550166,"about_ca_system_score_gemma":0.0020077303,"threshold_uncertainty_score":0.027228773},"labels":[],"label_agreement":null},{"id":"W4316468406","doi":"10.3390/en16020963","title":"Reliable Tools to Forecast Sludge Settling Behavior: Empirical Modeling","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Settling; Clarifier; Mean squared error; Range (aeronautics); Empirical modelling; Statistics; Computer science; Mathematics; Simulation; Environmental science; Engineering; Environmental engineering","score_opus":0.06725046196270384,"score_gpt":0.2953676884587797,"score_spread":0.22811722649607585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316468406","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11801023,0.00053327775,0.87894106,0.00020268718,0.000021259662,0.000055841767,0.00029131168,0.0007688322,0.0011754998],"genre_scores_gemma":[0.89918864,0.0006533546,0.09811252,0.000049011407,0.000026483607,0.00017142313,0.0005638503,0.00008992716,0.0011448591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995491,0.00013617815,0.000039705876,0.000106621235,0.00013352718,0.000034829325],"domain_scores_gemma":[0.9983399,0.00093551737,0.00027871356,0.00011572905,0.00030273525,0.000027299491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015690872,0.001046481,0.00060294545,0.00100144,0.00021422123,0.0008434786,0.0009317514,0.0010663896,0.0006134865],"category_scores_gemma":[0.0048914086,0.0005055199,0.00064759696,0.0008326013,0.00030738916,0.001329767,0.00048789894,0.000939183,0.00029773894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016385944,0.000029452762,0.0021089448,0.00003300299,0.000016861679,0.000027062784,0.000022328983,0.9798676,0.0010845755,0.00082230737,0.00013622313,0.015835185],"study_design_scores_gemma":[7.130511e-7,0.000004143459,0.00019675978,0.0000020665664,0.0000013885202,0.0000024358649,0.0000019950924,0.9992569,0.00022932734,0.00023331889,0.00006820685,0.0000026863213],"about_ca_topic_score_codex":0.010376183,"about_ca_topic_score_gemma":0.005786558,"teacher_disagreement_score":0.010376183,"about_ca_system_score_codex":0.00063542044,"about_ca_system_score_gemma":0.00080325425,"threshold_uncertainty_score":0.020631552},"labels":[],"label_agreement":null},{"id":"W4316663540","doi":"10.3390/en16021000","title":"Optimal Management of a Virtual Power Plant Consisting of Renewable Energy Resources and Electric Vehicles Using Mixed-Integer Linear Programming and Deep Learning","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Virtual power plant; Computer science; Benchmark (surveying); Renewable energy; Distributed generation; Energy management; Demand response; Grid; Artificial neural network; Smart grid; Electricity; Distributed computing; Automotive engineering; Mathematical optimization; Engineering; Energy (signal processing); Artificial intelligence; Electrical engineering","score_opus":0.008553499071186894,"score_gpt":0.19789795070945604,"score_spread":0.18934445163826916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316663540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09801314,0.00089909625,0.89281154,0.0006808698,0.00010199338,0.00006714319,0.00011295303,0.0007032994,0.006610035],"genre_scores_gemma":[0.9473379,0.00022722242,0.0493946,0.00016856984,0.00003538876,0.00010518986,0.00013641988,0.00005031167,0.0025443651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998017,0.000044127297,0.000009793164,0.000057951875,0.000034909033,0.000051543913],"domain_scores_gemma":[0.99958676,0.00024410816,0.000055809563,0.000014058161,0.00006502511,0.00003430061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006075638,0.0011544329,0.0008514796,0.00033972418,0.00037644006,0.0010975893,0.0007725485,0.00114829,0.0016663546],"category_scores_gemma":[0.0010099289,0.0005946182,0.0006822713,0.0003241712,0.0005465158,0.0009696475,0.0008455789,0.0014455126,0.00017937638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024454712,0.000026867061,0.0002245282,0.00002379316,0.000015099497,0.000031253516,0.000011129468,0.988593,0.00043211677,0.0009635592,0.00024937885,0.009404851],"study_design_scores_gemma":[0.0000012565084,0.000004783911,0.000014286209,8.6453576e-7,0.0000014396575,0.0000010583244,0.0000014814498,0.999647,0.00005540569,0.00024653407,0.000025164463,6.693407e-7],"about_ca_topic_score_codex":0.012070542,"about_ca_topic_score_gemma":0.012599954,"teacher_disagreement_score":0.012070542,"about_ca_system_score_codex":0.001016675,"about_ca_system_score_gemma":0.0017330749,"threshold_uncertainty_score":0.024000585},"labels":[],"label_agreement":null},{"id":"W4316690027","doi":"10.3390/en16031015","title":"Performance Evaluation of a Commercial Greenhouse in Canada Using Dehumidification Technologies and LED Lighting: A Modeling Study","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":11,"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 Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Greenhouse; Environmental science; Greenhouse gas; Refrigeration; TRNSYS; Engineering; LED lamp; Environmental engineering; Automotive engineering; Meteorology; Waste management; Mechanical engineering; Electrical engineering","score_opus":0.06508451712796653,"score_gpt":0.256337657273431,"score_spread":0.19125314014546446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316690027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877203,0.00013908869,0.003249075,0.00008559237,0.000009415597,0.00011968615,0.000635846,0.00015100354,0.007890021],"genre_scores_gemma":[0.9956208,0.00013728403,0.0018658506,0.000014202138,0.0000010947857,0.000033294393,0.00030538856,0.000012650244,0.0020095103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997832,0.000023266442,0.000005669631,0.000043567205,0.000067092435,0.00007710281],"domain_scores_gemma":[0.9996699,0.00010994899,0.000026945136,0.000017978693,0.00014656894,0.000028685328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003602569,0.0009229743,0.0004507571,0.00034433644,0.001161905,0.0010322693,0.0014175423,0.00077430706,0.0014760428],"category_scores_gemma":[0.00046977805,0.00030921237,0.0005817087,0.00054729515,0.0005093723,0.000558345,0.0003320758,0.00041568218,0.00015674903],"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":[0.00020783012,0.00019523162,0.008902884,0.000106553416,0.00002812208,0.00017888605,0.0000987426,0.9753911,0.008237094,0.00049415673,0.0004932739,0.0056661703],"study_design_scores_gemma":[0.00006198146,0.00027112509,0.009545474,0.00001009589,0.00004339744,0.000027820537,0.0002881824,0.98217416,0.006152129,0.00010710998,0.0012882792,0.000030260284],"about_ca_topic_score_codex":0.83591944,"about_ca_topic_score_gemma":0.82357216,"teacher_disagreement_score":0.16408056,"about_ca_system_score_codex":0.012532876,"about_ca_system_score_gemma":0.0060708923,"threshold_uncertainty_score":0.33009368},"labels":[],"label_agreement":null},{"id":"W4317107191","doi":"10.3390/en16031032","title":"Wind Energy Infrastructure and Socio-Spatial Conflicts","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind power; Legislature; Quarter (Canadian coin); Geography; Sea breeze; Business; Environmental planning; Turbine; Meteorology; Engineering","score_opus":0.012555562460308102,"score_gpt":0.27169228228942893,"score_spread":0.25913671982912084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317107191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7161938,0.0042004576,0.004495721,0.0096821105,0.00008386338,0.00004477169,0.00012607768,0.000018984827,0.26515424],"genre_scores_gemma":[0.99741757,0.0005695497,0.00012440742,0.00008335578,0.000011558999,0.000011453208,0.000018139428,0.0000025148734,0.0017613558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99802566,0.00089310773,0.00009545612,0.00017132964,0.00025186012,0.00056270364],"domain_scores_gemma":[0.9984463,0.0004335344,0.0006712446,0.00009387685,0.000112498165,0.00024252628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011969232,0.000212794,0.00021849002,0.0017968279,0.0032038947,0.0052137068,0.00060919666,0.0010397617,0.006384075],"category_scores_gemma":[0.003451955,0.00023606175,0.0001858194,0.002843522,0.008534997,0.003533644,0.007142197,0.0010284999,0.00037859875],"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":[0.000091937516,0.00011210343,0.059065163,0.00021024887,0.000085167085,0.0028880935,0.057346307,0.004790448,0.00042420963,0.8244246,0.004898822,0.04566289],"study_design_scores_gemma":[0.000038496997,0.00012464312,0.10843485,0.0006072428,0.0000451328,0.0021651508,0.30497152,0.003351432,0.00028578774,0.39073014,0.18916844,0.00007716302],"about_ca_topic_score_codex":0.0046687974,"about_ca_topic_score_gemma":0.006380169,"teacher_disagreement_score":0.006384075,"about_ca_system_score_codex":0.002731697,"about_ca_system_score_gemma":0.0010773923,"threshold_uncertainty_score":0.02135688},"labels":[],"label_agreement":null},{"id":"W4317402044","doi":"10.3390/en16031058","title":"Energy and Thermal Performance Analysis of PCM-Incorporated Glazing Units Combined with Passive and Active Techniques: A Review Study","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Glazing; Architectural engineering; Facade; Building envelope; Passive solar building design; Solar gain; Phase-change material; Passive cooling; Photovoltaic system; Thermal comfort; Curtain wall; Opacity; Laminated glass; Skylight; Building design; Engineering; Mechanical engineering; Environmental science; Structural engineering; Thermal; Civil engineering; Solar energy; Materials science; Phase change; Engineering physics; Meteorology; Optics; Electrical engineering","score_opus":0.024302918061414176,"score_gpt":0.2487098611745443,"score_spread":0.22440694311313011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317402044","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":[0.0022702473,0.99573946,0.00040655496,0.000056644792,0.00006938855,0.000012227897,0.000051030052,0.000005618053,0.0013887575],"genre_scores_gemma":[0.009993282,0.9882522,0.0006220138,0.000076316464,0.00010180184,0.00001606206,0.000082072,0.000003910924,0.00085236336],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996829,0.000042730357,0.000057929963,0.00007449969,0.000121017685,0.000021057216],"domain_scores_gemma":[0.9995827,0.00018941447,0.0000864782,0.000012321502,0.00011646239,0.000012590695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005661573,0.000832135,0.0016082006,0.0027455245,0.00022808982,0.0010430699,0.0006466894,0.0007438939,0.002415097],"category_scores_gemma":[0.00053462456,0.00038543053,0.0013341194,0.0034442067,0.00023616983,0.0009965621,0.0003641605,0.0005019239,0.0006498964],"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":[0.00026911029,0.00041103823,0.0016611889,0.13685545,0.0007014637,0.0005412258,0.00027219005,0.0030931102,0.026927061,0.003775766,0.010319447,0.8151729],"study_design_scores_gemma":[0.00002684674,0.0014732617,0.010312536,0.014058781,0.002341083,0.0031333219,0.00048346212,0.0020986884,0.024682332,0.0016937843,0.9395813,0.000114654445],"about_ca_topic_score_codex":0.0010647923,"about_ca_topic_score_gemma":0.0012675637,"teacher_disagreement_score":0.0027455245,"about_ca_system_score_codex":0.00028619927,"about_ca_system_score_gemma":0.00069286255,"threshold_uncertainty_score":0.00807929},"labels":[],"label_agreement":null},{"id":"W4317506068","doi":"10.3390/en16031115","title":"Oxygen Reduction at PtNi Alloys in Direct Methanol Fuel Cells—Electrode Development and Characterization","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electrocatalysts for Energy Conversion","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":false,"ca_institutions":"Queen's University","funders":"Bundesministerium für Wirtschaft und Energie; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Catalysis; Methanol fuel; Materials science; Chemical engineering; Electrolysis; Electrolyte; Catalyst support; Coating; Cathode; Methanol; Layer (electronics); Bimetallic strip; Proton exchange membrane fuel cell; Nanotechnology; Electrode; Chemistry; Engineering","score_opus":0.00996950341689635,"score_gpt":0.2085200653453026,"score_spread":0.19855056192840626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317506068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850759,0.0018345118,0.009254005,0.000091328955,0.000024107236,0.00006339072,0.0002445274,0.000089177345,0.0033230204],"genre_scores_gemma":[0.982796,0.0015807626,0.0121741155,0.000026208574,0.000013086097,0.00004492124,0.00027011876,0.000041479634,0.0030532752],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997464,0.000021249842,0.000013793215,0.000048485577,0.00014877347,0.000021323329],"domain_scores_gemma":[0.9998888,0.000033106295,0.000016198981,0.000015112423,0.00003968087,0.0000070573337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028671845,0.00023054934,0.0003203401,0.00033941618,0.00023121967,0.0005219282,0.00062524684,0.00043754064,0.0003955022],"category_scores_gemma":[0.0005147149,0.00023993036,0.0001386315,0.00031199385,0.0002072482,0.00036842012,0.0001819376,0.0002928723,0.00025697506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005314557,0.00002776709,0.00046241182,0.000086456166,0.0000049359733,0.00007220322,0.0000439489,0.00034256614,0.9929489,0.00014438255,0.00003784912,0.0057753464],"study_design_scores_gemma":[0.000003182176,0.000049702474,0.00095583854,0.0000025344016,0.0000038014139,0.00005015113,0.000016907576,0.0013474466,0.9966719,0.000027379892,0.0008686035,0.0000025112085],"about_ca_topic_score_codex":0.0012714651,"about_ca_topic_score_gemma":0.002524675,"teacher_disagreement_score":0.0012714651,"about_ca_system_score_codex":0.00040946968,"about_ca_system_score_gemma":0.0001479953,"threshold_uncertainty_score":0.002970934},"labels":[],"label_agreement":null},{"id":"W4317529036","doi":"10.3390/en16031130","title":"Deep Learning-Based Prediction of Unsteady Reynolds-Averaged Navier-Stokes Solutions for Vertical-Axis Turbines","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Angular velocity; Turbulence; Mechanics; Reynolds number; Rotor (electric); Physics; Pressure gradient; Viscosity; Mathematics; Geometry; Classical mechanics; Thermodynamics","score_opus":0.014168453376986986,"score_gpt":0.20867190055495333,"score_spread":0.19450344717796633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317529036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86946404,0.0003763856,0.1268927,0.00021944164,0.00007588714,0.000037620277,0.0002029302,0.0007697064,0.0019613253],"genre_scores_gemma":[0.98194355,0.00005595318,0.017035756,0.000025897063,0.000005207942,0.00001716723,0.00023947042,0.000015674965,0.00066140556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999198,0.000012591819,0.0000058641554,0.000021656931,0.00002045248,0.000019653338],"domain_scores_gemma":[0.99970907,0.0001227019,0.00003642115,0.0000222136,0.000089106434,0.00002032551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038292838,0.0007606221,0.0003342786,0.0002875896,0.00018059846,0.0003306375,0.00044720332,0.0005120041,0.00052663597],"category_scores_gemma":[0.0012536889,0.0003138001,0.00035004507,0.00017453817,0.00027705773,0.00051393936,0.0003326997,0.0006291404,0.000120862554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050250466,0.000043627933,0.0032692507,0.000018153334,0.000015073341,0.000029182896,0.000013634627,0.976269,0.0037312023,0.00022948807,0.00024096381,0.016090212],"study_design_scores_gemma":[0.0000011584897,0.0000062686872,0.00019912397,8.374606e-7,7.377916e-7,0.0000012996958,0.0000013695603,0.99914086,0.00059197494,0.00003801776,0.000017494165,8.278996e-7],"about_ca_topic_score_codex":0.018938309,"about_ca_topic_score_gemma":0.016678821,"teacher_disagreement_score":0.018938309,"about_ca_system_score_codex":0.00068045704,"about_ca_system_score_gemma":0.0010528007,"threshold_uncertainty_score":0.03765613},"labels":[],"label_agreement":null},{"id":"W4317619108","doi":"10.3390/en16031148","title":"The Effects of Crude Oil Price Surprises on National Income: Evidence from India","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Granger causality; Economics; Exchange rate; Rupee; Per capita; Crude oil; Oil price; Monetary economics; West Texas Intermediate; Agricultural economics; Econometrics; Engineering","score_opus":0.019895178532637305,"score_gpt":0.235253354536966,"score_spread":0.2153581760043287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317619108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950641,0.0004020552,0.00008099948,0.00036010295,0.000007263811,0.0000035150763,0.00045120425,0.000005004877,0.0036257473],"genre_scores_gemma":[0.99884003,0.0005273062,0.000030051133,0.00003063621,0.000008005726,0.0000010290095,0.00029922804,0.0000015880107,0.00026218928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997377,0.00006511778,0.0000233926,0.00003729232,0.00006948762,0.000067007786],"domain_scores_gemma":[0.996434,0.0014173428,0.0013392208,0.00021362341,0.0004188239,0.00017707622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038904493,0.00014556343,0.00016913249,0.0008448484,0.00026724624,0.0008143519,0.00023865113,0.00016740545,0.0014016872],"category_scores_gemma":[0.002607847,0.000106633765,0.00031138823,0.001890691,0.000509963,0.00039814532,0.0005344666,0.00043180765,0.00021336814],"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":[0.00020403872,0.00007432581,0.9845389,0.000095775686,0.00015133918,0.00062871666,0.0008249159,0.0006083178,0.00032140076,0.0009724242,0.00079752237,0.010782336],"study_design_scores_gemma":[0.000002977472,0.000027932338,0.99712783,0.000013340478,0.00007626382,0.000105734,0.0011099798,0.00032056312,0.0002133046,0.00011167449,0.0008835013,0.000006898182],"about_ca_topic_score_codex":0.04176328,"about_ca_topic_score_gemma":0.04405089,"teacher_disagreement_score":0.04176328,"about_ca_system_score_codex":0.00042976238,"about_ca_system_score_gemma":0.00050770433,"threshold_uncertainty_score":0.08304036},"labels":[],"label_agreement":null},{"id":"W4317619163","doi":"10.3390/en16031150","title":"Applying Energy Justice Principles to Renewable Energy Trading and Allocation in Multi-Unit Buildings","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Norges Forskningsråd","keywords":"Renewable energy; Environmental economics; Incentive; Unit (ring theory); Work (physics); Profit (economics); Energy consumption; Business; Energy storage; Economics; Microeconomics; Engineering; Power (physics); Electrical engineering","score_opus":0.03662233326452331,"score_gpt":0.2420871501321208,"score_spread":0.2054648168675975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317619163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064815484,0.00033534726,0.92878515,0.00034280727,0.00008066715,0.00008200924,0.000033845077,0.0002020686,0.0053225374],"genre_scores_gemma":[0.9372176,0.00015093377,0.06043425,0.00009922845,0.000044350163,0.00003947972,0.000024708914,0.000041938623,0.0019475318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99713504,0.0013679931,0.000110657755,0.00037209023,0.0006972561,0.00031689182],"domain_scores_gemma":[0.99698704,0.0016533412,0.00032565382,0.0005793626,0.00025633434,0.0001982072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003237874,0.00054090226,0.00091223815,0.0005317405,0.00096930494,0.002048981,0.0012468303,0.0009314371,0.0017435912],"category_scores_gemma":[0.0059387772,0.0002672562,0.00075059466,0.000695643,0.001124878,0.0030489264,0.0021701977,0.0011418173,0.00022865598],"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":[0.0004002396,0.00038770487,0.0028924607,0.00013839299,0.00012131336,0.00032306171,0.00034936832,0.7128409,0.0071474207,0.12973268,0.0017600268,0.14390647],"study_design_scores_gemma":[0.000013168039,0.000049184982,0.0003680728,0.000007149711,0.000015327916,0.000057650228,0.00005902952,0.95306593,0.0016716771,0.04349804,0.0011756162,0.000019198358],"about_ca_topic_score_codex":0.0023283672,"about_ca_topic_score_gemma":0.0031200766,"teacher_disagreement_score":0.003237874,"about_ca_system_score_codex":0.001090082,"about_ca_system_score_gemma":0.001083209,"threshold_uncertainty_score":0.0171237},"labels":[],"label_agreement":null},{"id":"W4317726571","doi":"10.3390/en16031182","title":"Heuristic Retailer’s Day-Ahead Pricing Based on Online-Learning of Prosumer’s Optimal Energy Management Model","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Prosumer; Demand response; Dynamic pricing; Heuristic; Computer science; Smart grid; Distributed generation; Key (lock); Business; Electricity; Marketing; Renewable energy; Computer security; Artificial intelligence","score_opus":0.01338292522863075,"score_gpt":0.21631928366550046,"score_spread":0.20293635843686972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317726571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19685116,0.0006273087,0.7758158,0.0012493202,0.00013545815,0.00026713425,0.00027618866,0.00039228538,0.024385426],"genre_scores_gemma":[0.98317885,0.00010500143,0.013359274,0.00007644803,0.000017014985,0.00009171664,0.000054128668,0.000017984285,0.0030995593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952745,0.00016485956,0.0000191073,0.00010070401,0.00008411599,0.00010380502],"domain_scores_gemma":[0.99861073,0.0008763715,0.00013214233,0.000059631348,0.00021359738,0.0001075671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013762697,0.0008658771,0.0019042342,0.0005675134,0.0006465791,0.0020772389,0.0015658387,0.0019472593,0.004172744],"category_scores_gemma":[0.0023760216,0.0006449048,0.00076578034,0.0005282389,0.001167018,0.0012258209,0.0010987573,0.0015508566,0.0002744701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023596162,0.000021833312,0.00016456516,0.000010229398,0.00000842541,0.00003680651,0.000012289966,0.9966156,0.00008640045,0.0016715821,0.0001525343,0.0011962339],"study_design_scores_gemma":[0.000003741341,0.0000058009227,0.000021679329,9.823781e-7,0.000002231412,0.0000023296118,0.0000034215066,0.9994916,0.000020559703,0.00041683202,0.000029293917,0.0000015592244],"about_ca_topic_score_codex":0.011990889,"about_ca_topic_score_gemma":0.010376497,"teacher_disagreement_score":0.011990889,"about_ca_system_score_codex":0.0015568228,"about_ca_system_score_gemma":0.0018657455,"threshold_uncertainty_score":0.023842156},"labels":[],"label_agreement":null},{"id":"W4317809529","doi":"10.3390/en16031234","title":"Calibration of Grid Models for Analyzing Energy Policies","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Grid; Marginal cost; Base load power plant; Electricity; Context (archaeology); Coal; Natural gas; Fossil fuel; Electricity pricing; Electricity generation; Environmental economics; Environmental science; Distributed generation; Economics; Engineering; Microeconomics; Electricity market; Power (physics); Waste management; Electrical engineering; Mathematics","score_opus":0.014434518268353921,"score_gpt":0.21610892331035034,"score_spread":0.2016744050419964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317809529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080415644,0.0007373861,0.8518333,0.001536065,0.00018407458,0.00034912798,0.003307696,0.001227933,0.06040877],"genre_scores_gemma":[0.91882783,0.0009130516,0.06746503,0.00026747433,0.000064594715,0.0005358171,0.002052917,0.00025990867,0.009613284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992254,0.00044682043,0.000024448704,0.000098415214,0.00011353499,0.00009146497],"domain_scores_gemma":[0.9980495,0.0011925214,0.0002535188,0.0002031726,0.00024473615,0.000056595753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002068603,0.0012231143,0.0008771728,0.0009390581,0.0006137164,0.0017242464,0.0017220195,0.0017870492,0.0069661536],"category_scores_gemma":[0.008237181,0.0008583512,0.0008651575,0.0014843569,0.0009734529,0.0013625168,0.0010664962,0.0025667655,0.000681187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007261887,0.000006907311,0.0004300167,0.000008351687,0.000009073767,0.000013977444,0.000009603085,0.9869516,0.000047809765,0.011051556,0.0004418793,0.0010219454],"study_design_scores_gemma":[0.0000071920626,0.0000047626113,0.00021116254,0.000007892821,0.0000057376337,0.0000053960616,0.000018644227,0.9886953,0.00006793899,0.009757378,0.001212239,0.0000064103956],"about_ca_topic_score_codex":0.07530896,"about_ca_topic_score_gemma":0.052348457,"teacher_disagreement_score":0.07530896,"about_ca_system_score_codex":0.0044118115,"about_ca_system_score_gemma":0.0033708694,"threshold_uncertainty_score":0.14974129},"labels":[],"label_agreement":null},{"id":"W4318055228","doi":"10.3390/en16031295","title":"An Enhancement Method Based on Long Short-Term Memory Neural Network for Short-Term Natural Gas Consumption Forecasting","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; China Scholarship Council","keywords":"Artificial neural network; Computer science; Robustness (evolution); Convolutional neural network; Artificial intelligence; Term (time); Support vector machine; Deep learning; Key (lock); Machine learning; Data mining","score_opus":0.03940362906696582,"score_gpt":0.29223568158276736,"score_spread":0.25283205251580154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318055228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04553745,0.0020485923,0.94332814,0.00036336153,0.00044295634,0.00007739598,0.00022781093,0.0028957664,0.0050784033],"genre_scores_gemma":[0.7778693,0.0021376656,0.20659223,0.00037608854,0.00025031378,0.00015411286,0.0008009537,0.00025793447,0.011561359],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974495,0.000021393287,0.00002110603,0.00007990875,0.00009545401,0.00003715588],"domain_scores_gemma":[0.9997631,0.000043333537,0.000020974701,0.000019282801,0.00014317746,0.00001022788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054928754,0.0009144315,0.00061766995,0.00086721464,0.00031988937,0.00058043265,0.00091391156,0.00067380065,0.0020815004],"category_scores_gemma":[0.0010273125,0.00030400374,0.0008360828,0.0008213792,0.00021284919,0.0014970589,0.00055255234,0.00078049354,0.00064428744],"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":[0.00024324901,0.0001197867,0.0040387013,0.00021690919,0.00014792726,0.00023448041,0.00012968865,0.16470918,0.031529788,0.0032887212,0.006096495,0.78924507],"study_design_scores_gemma":[0.0000096774465,0.000041424162,0.001058624,0.000012745,0.000044283785,0.000056761815,0.000016031538,0.9886975,0.007065433,0.0007715846,0.0022114764,0.000014329971],"about_ca_topic_score_codex":0.0107922,"about_ca_topic_score_gemma":0.008925204,"teacher_disagreement_score":0.0107922,"about_ca_system_score_codex":0.00050559704,"about_ca_system_score_gemma":0.0007495289,"threshold_uncertainty_score":0.021458745},"labels":[],"label_agreement":null},{"id":"W4318464159","doi":"10.3390/en16031352","title":"A Deep Learning Approach for Exploring the Design Space for the Decarbonization of the Canadian Electricity System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Electricity; Computer science; Energy system; Carbon tax; Space (punctuation); Key (lock); Artificial intelligence; Wind power; Climate change; Energy (signal processing); Environmental economics; Machine learning; Economics; Engineering; Mathematics","score_opus":0.03644981966901884,"score_gpt":0.19745091306876406,"score_spread":0.16100109339974522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318464159","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12916388,0.00038162016,0.854695,0.0008955699,0.00003573447,0.000070544105,0.0005724412,0.00040372985,0.013781532],"genre_scores_gemma":[0.9142615,0.00018163696,0.08088317,0.000110634806,0.00001987483,0.00011019202,0.00033651252,0.000044132477,0.0040523373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984777,0.00004965125,0.000003880103,0.00002266297,0.000045484707,0.000030451836],"domain_scores_gemma":[0.9996445,0.0001992253,0.0000387195,0.000021391956,0.00007744879,0.000018712852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053797255,0.0006920604,0.0004000714,0.00044300474,0.00041733208,0.00058490294,0.00066405354,0.0006690479,0.0017817197],"category_scores_gemma":[0.0017836051,0.00037871787,0.00046279898,0.0003837773,0.00069333287,0.0003728907,0.00048082814,0.0010409073,0.00008052029],"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":[0.00000428945,0.0000028432005,0.00013649192,0.0000057504217,0.0000027032413,0.0000070218252,0.0000046191885,0.99605787,0.00011635691,0.0021243456,0.00009776543,0.0014398523],"study_design_scores_gemma":[9.578347e-7,0.0000021461694,0.00004386408,0.0000010796189,7.593069e-7,8.146741e-7,0.0000016071263,0.99887973,0.000038517286,0.00092058704,0.00010910958,8.440457e-7],"about_ca_topic_score_codex":0.22629082,"about_ca_topic_score_gemma":0.2328408,"teacher_disagreement_score":0.7737092,"about_ca_system_score_codex":0.0031445262,"about_ca_system_score_gemma":0.004232353,"threshold_uncertainty_score":0.4499473},"labels":[],"label_agreement":null},{"id":"W4318464288","doi":"10.3390/en16031331","title":"Energy Modeling and Techno-Economic Feasibility Analysis of Greenhouses for Tomato Cultivation Utilizing the Waste Heat of Cryptocurrency Miners","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Greenhouse; Environmental science; Greenhouse gas; Waste management; Environmental engineering; Engineering; Ecology","score_opus":0.03857226867574543,"score_gpt":0.25893121918863093,"score_spread":0.2203589505128855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318464288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978564,0.000066905646,0.01341787,0.00007917475,0.000007812211,0.000059628514,0.0002457488,0.000057187986,0.007501536],"genre_scores_gemma":[0.9980307,0.00003758137,0.00097210833,0.0000026263724,8.0437184e-7,0.000023582505,0.000045811455,0.0000044707085,0.0008822313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999331,0.000013762268,0.0000021079375,0.000012060428,0.000018011438,0.000020898777],"domain_scores_gemma":[0.9998517,0.000090656395,0.000011568692,0.000008216358,0.000029473253,0.000008366809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025609237,0.00039009162,0.0002987438,0.00029809258,0.00043994948,0.0006047503,0.0005025355,0.00044399762,0.001254276],"category_scores_gemma":[0.00031640977,0.00021699835,0.00045309693,0.00028128913,0.00042110236,0.00039020603,0.0002202016,0.0002853027,0.00010985058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055826305,0.000027938066,0.0017196279,0.000015316626,0.00000400673,0.000048637292,0.000013244453,0.99155676,0.0048773256,0.00040917902,0.00007488481,0.0011972536],"study_design_scores_gemma":[0.0000118084245,0.00005828835,0.0018428904,0.0000017164672,0.0000063503026,0.0000062165404,0.00004032737,0.9958521,0.0018774592,0.00015177386,0.00014560482,0.0000054122797],"about_ca_topic_score_codex":0.09071529,"about_ca_topic_score_gemma":0.08271093,"teacher_disagreement_score":0.09071529,"about_ca_system_score_codex":0.0021569715,"about_ca_system_score_gemma":0.0013088281,"threshold_uncertainty_score":0.18037456},"labels":[],"label_agreement":null},{"id":"W4318481024","doi":"10.3390/en16031389","title":"Production Controls in Heavy Oil and Bitumen Markets: Surplus Transfer Due to Alberta’s Curtailment Policy","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Western University","funders":"","keywords":"Economic surplus; Economics; Agricultural economics; Production (economics); Scarcity; Barrel (horology); Natural resource economics; Welfare; Market economy; Microeconomics; Engineering","score_opus":0.008842695011006693,"score_gpt":0.2312891960681356,"score_spread":0.22244650105712893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318481024","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":[0.4005226,0.018298402,0.0146388495,0.018087516,0.000681866,0.0003102793,0.0035024604,0.00067876664,0.5432794],"genre_scores_gemma":[0.95860153,0.005034836,0.0035583004,0.0023445934,0.00011411074,0.000040926036,0.0009993763,0.00006122224,0.029245047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978676,0.00018375185,0.000033763936,0.00011721142,0.001277654,0.0005199199],"domain_scores_gemma":[0.99838305,0.00046878014,0.0002101912,0.00006814966,0.0006934183,0.00017651191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016845281,0.00042109133,0.00020075326,0.0012744525,0.0018988457,0.003499058,0.0012762697,0.0008946416,0.0051312433],"category_scores_gemma":[0.0027087117,0.000219486,0.0005413195,0.0017271602,0.002056701,0.0011213671,0.0010646305,0.001089812,0.0003093492],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008579246,0.00051918277,0.08700535,0.0020007025,0.00034625476,0.0033605655,0.0033705377,0.096470855,0.027380865,0.40490517,0.11260201,0.26118067],"study_design_scores_gemma":[0.00020103423,0.00037414586,0.2104831,0.0011486637,0.00034149268,0.0005594874,0.005911706,0.02812422,0.015313719,0.045300897,0.69190866,0.00033283964],"about_ca_topic_score_codex":0.88834506,"about_ca_topic_score_gemma":0.9164699,"teacher_disagreement_score":0.9656176,"about_ca_system_score_codex":0.03438243,"about_ca_system_score_gemma":0.03898487,"threshold_uncertainty_score":0.2494632},"labels":[],"label_agreement":null},{"id":"W4318482118","doi":"10.3390/en16031392","title":"Insights into the Application of Machine Learning in Reservoir Engineering: Current Developments and Future Trends","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machine learning; Artificial intelligence; Computer science; Scarcity; Quality (philosophy); Reservoir modeling; Well test (oil and gas); Data science; Risk analysis (engineering); Engineering; Petroleum engineering","score_opus":0.013225730978826759,"score_gpt":0.26826252647838855,"score_spread":0.2550367954995618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318482118","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":[0.007335607,0.882532,0.055674713,0.03281048,0.00076451135,0.00003630154,0.00010198832,0.00017789454,0.020566475],"genre_scores_gemma":[0.0855636,0.86740464,0.039650146,0.0023619335,0.0021816625,0.000055285745,0.00013139364,0.00006197446,0.0025893408],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990569,0.0003796386,0.00006664463,0.00014204184,0.00028703973,0.000067685345],"domain_scores_gemma":[0.99142444,0.0065309536,0.00026820228,0.00025693304,0.0012651694,0.00025432603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045351284,0.0006082924,0.0008326061,0.0019122608,0.0003855283,0.0029126117,0.0012388893,0.0018142816,0.003017546],"category_scores_gemma":[0.0066829994,0.00035387083,0.00049766037,0.0029588435,0.002142461,0.0058818827,0.0013253386,0.0027057468,0.0011334335],"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":[0.00012459312,0.0002233526,0.003919658,0.0047988687,0.00007945205,0.00015471196,0.0004856642,0.016840115,0.0014768154,0.19605939,0.01501766,0.76081973],"study_design_scores_gemma":[0.000033658376,0.00034657543,0.004196466,0.006116382,0.000074366646,0.00042826464,0.0014744515,0.08772032,0.00352355,0.40481198,0.49109644,0.00017748504],"about_ca_topic_score_codex":0.0016381728,"about_ca_topic_score_gemma":0.0016348353,"teacher_disagreement_score":0.0045351284,"about_ca_system_score_codex":0.0011941963,"about_ca_system_score_gemma":0.0016063054,"threshold_uncertainty_score":0.023984313},"labels":[],"label_agreement":null},{"id":"W4318594883","doi":"10.3390/en16031397","title":"A Preliminary Analysis of In-Situ Stress at Mount Meager by Displacement Discontinuity Method with Topography and Tectonics Considered","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada; University of Waterloo","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Tectonics; Discontinuity (linguistics); Seismology; Geothermal gradient; Thrust fault; Fault (geology); Volcano; Paleontology","score_opus":0.007949879665484726,"score_gpt":0.23242761200533085,"score_spread":0.22447773233984614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318594883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937358,0.000024607167,0.004677489,0.0000349614,0.0000055282476,0.000008846339,0.00035882558,0.00009828948,0.0010556629],"genre_scores_gemma":[0.99751914,0.00002263457,0.001809533,0.0000036212716,0.0000026056764,0.000005322869,0.0001880889,0.000007589342,0.00044148677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999362,0.00000651259,0.000003994872,0.000018384893,0.000020400747,0.000014401625],"domain_scores_gemma":[0.9998863,0.000028927681,0.000020195817,0.000023318002,0.000028446191,0.000012847309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090628695,0.00042756094,0.00021901795,0.00059779757,0.00027291517,0.00035699733,0.00052731653,0.0005321294,0.001688387],"category_scores_gemma":[0.00031902044,0.00020247741,0.00035816064,0.0006773927,0.0002152156,0.0002955274,0.00015881269,0.0002287639,0.00015286423],"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":[0.0002985994,0.00041618652,0.31481925,0.00022505438,0.00012754517,0.001872134,0.0007468627,0.45055017,0.16976011,0.001434511,0.0011126571,0.058636844],"study_design_scores_gemma":[0.00001325238,0.00011054857,0.22088288,0.000010500736,0.000029288487,0.00015566284,0.00028469064,0.76273906,0.014308375,0.000287477,0.0011496883,0.000028588609],"about_ca_topic_score_codex":0.023877548,"about_ca_topic_score_gemma":0.04833628,"teacher_disagreement_score":0.97612244,"about_ca_system_score_codex":0.00047003294,"about_ca_system_score_gemma":0.00030232966,"threshold_uncertainty_score":0.047477186},"labels":[],"label_agreement":null},{"id":"W4319030101","doi":"10.3390/en16031460","title":"Effects of Fracture Parameters on VAPEX Performance: A Numerical and Experimental Approach Utilizing Reservoir-On-The-Chip","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Petroleum engineering; Viscosity; Materials science; Fracture (geology); Drop (telecommunication); Environmental science; Composite material; Mechanical engineering; Geology; Engineering","score_opus":0.012827966855441944,"score_gpt":0.2308596183669,"score_spread":0.21803165151145806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319030101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97023016,0.00030860526,0.027965717,0.000036434976,0.000020946267,0.000034731373,0.00019864226,0.00021256968,0.0009922191],"genre_scores_gemma":[0.9740969,0.00026568846,0.0250406,0.000009887832,0.000002839484,0.00003994171,0.000115855146,0.000015115035,0.00041333382],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977463,0.000016219547,0.0000144269125,0.000042975,0.00011041425,0.000041390344],"domain_scores_gemma":[0.999634,0.00015400034,0.00005986211,0.000066411245,0.00007254135,0.000013128158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041957668,0.00033215655,0.00040236898,0.0002239867,0.00021671446,0.0004497045,0.0004949539,0.00043776215,0.00079008506],"category_scores_gemma":[0.00084426906,0.00020044686,0.00031858947,0.0002827691,0.0003431454,0.00040454685,0.00037327054,0.00048061184,0.00012743712],"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":[0.00019757403,0.00012807462,0.0028944022,0.00029252478,0.000023468954,0.0002483002,0.000097413315,0.059722565,0.9192027,0.0008331742,0.00012313691,0.016236722],"study_design_scores_gemma":[0.0000087884055,0.00043977663,0.0023439906,0.000009281848,0.000020184678,0.000088244815,0.0000671641,0.12785858,0.8682653,0.00015905788,0.0007091617,0.00003054654],"about_ca_topic_score_codex":0.0010321499,"about_ca_topic_score_gemma":0.0015249446,"teacher_disagreement_score":0.0010321499,"about_ca_system_score_codex":0.0003449755,"about_ca_system_score_gemma":0.00029435763,"threshold_uncertainty_score":0.0026431084},"labels":[],"label_agreement":null},{"id":"W4319030809","doi":"10.3390/en16031457","title":"Evaluation and Solution Suggestions for Engineering and Workmanship Failures during Design and Installation of Solar Power Plants","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Photovoltaic system; Workmanship; Renewable energy; Grid connection; Power (physics); Solar power; Grid-connected photovoltaic power system; Electricity generation; Electrical engineering; Engineering; Payback period; Reliability engineering; Power station; Solar energy; Inverter; Automotive engineering; Maximum power point tracking; Production (economics); Voltage; Operations management; Physics","score_opus":0.028531711804387745,"score_gpt":0.2570584017727584,"score_spread":0.22852668996837067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319030809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4789978,0.0026718578,0.4619124,0.002913414,0.00037709932,0.0016570587,0.0005503241,0.0028493793,0.04807071],"genre_scores_gemma":[0.7896187,0.0012216485,0.19401793,0.000098124176,0.000045414257,0.00035658642,0.00042386874,0.00018295088,0.014034812],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99730957,0.0011174177,0.0001619148,0.0002572456,0.0009292431,0.00022464963],"domain_scores_gemma":[0.99400264,0.0019290983,0.0007672727,0.00038002667,0.0027287651,0.00019221574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031499567,0.0013527748,0.0005077832,0.0019923854,0.0011802359,0.0014719653,0.0012004222,0.00096006744,0.008786336],"category_scores_gemma":[0.010800634,0.00037595758,0.00048151272,0.0008345815,0.0004093526,0.0014427779,0.0006637369,0.00062294764,0.0012066041],"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":[0.0008059957,0.0009348291,0.020214902,0.0015801359,0.000050433304,0.0009605278,0.0024607282,0.09209173,0.017871493,0.009870501,0.012183707,0.840975],"study_design_scores_gemma":[0.00024200532,0.0037933413,0.06844954,0.0016384795,0.00042529355,0.001022758,0.031057337,0.725715,0.061822053,0.017620144,0.087919794,0.00029415652],"about_ca_topic_score_codex":0.002698407,"about_ca_topic_score_gemma":0.004906963,"teacher_disagreement_score":0.008786336,"about_ca_system_score_codex":0.0012578322,"about_ca_system_score_gemma":0.0022144334,"threshold_uncertainty_score":0.029393256},"labels":[],"label_agreement":null},{"id":"W4319031857","doi":"10.3390/en16031458","title":"Impacts of Tariffs on Energy Conscious Behavior with Respect to Household Attributes in Saudi Arabia","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Electricity; Tariff; Consumption (sociology); Energy consumption; Subsidy; Sample (material); Business; Environmental economics; Economics; Agricultural economics; Engineering; International economics","score_opus":0.016710522614677967,"score_gpt":0.21785455171848486,"score_spread":0.2011440291038069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319031857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99949956,0.00003610307,0.00007284658,0.000055528377,0.0000016281923,0.0000024683995,0.000035727542,9.372491e-7,0.00029516435],"genre_scores_gemma":[0.9996958,0.000036562236,0.00006710422,0.000014140874,0.0000013711642,0.0000018861979,0.000051124352,5.6781676e-7,0.00013142856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932086,0.00031013167,0.000042426633,0.00007048138,0.00013803637,0.00011804085],"domain_scores_gemma":[0.99774784,0.0007025359,0.0006413466,0.00013762957,0.00056281773,0.00020777421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011120627,0.0001890154,0.0001704427,0.0003657706,0.00040640842,0.00085113855,0.00024911706,0.00028167854,0.0009668404],"category_scores_gemma":[0.0029086138,0.000091724,0.00037260645,0.000552456,0.00038533722,0.00038818375,0.0005554921,0.00043468105,0.0001412231],"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":[0.00025389128,0.00025472,0.97375846,0.000031438805,0.00010661963,0.00027071423,0.0028125257,0.002389604,0.00092588627,0.00068900216,0.00032424915,0.018182924],"study_design_scores_gemma":[0.000004829666,0.00015554776,0.98564535,0.000020363655,0.00002975915,0.000079777434,0.0066306884,0.005869629,0.00046934016,0.0002684827,0.0008120561,0.000014187585],"about_ca_topic_score_codex":0.040533405,"about_ca_topic_score_gemma":0.044992413,"teacher_disagreement_score":0.040533405,"about_ca_system_score_codex":0.0011987095,"about_ca_system_score_gemma":0.000689041,"threshold_uncertainty_score":0.0805949},"labels":[],"label_agreement":null},{"id":"W4319159879","doi":"10.3390/en16031501","title":"Comparison on Hydraulic Characteristics of Vertical and Horizontal Air-Cushion Surge Chambers in the Hydropower Station under Load Disturbances","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Surge; Water hammer; Hydropower; Surge tank; Marine engineering; Environmental science; Renewable energy; Flow (mathematics); Hydroelectricity; Volume of fluid method; Engineering; Geotechnical engineering; Mechanics; Mechanical engineering; Electrical engineering","score_opus":0.013260796894464064,"score_gpt":0.23809127978846797,"score_spread":0.22483048289400392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319159879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992919,0.000071358656,0.0053342003,0.000044687313,0.000012035596,0.000013204153,0.0001429345,0.00010724286,0.001355338],"genre_scores_gemma":[0.9993383,0.000029300378,0.00029001923,0.0000034033967,0.0000020098068,0.000005371782,0.00006802648,0.000004677052,0.00025891658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972767,0.00003916595,0.000014254995,0.00005624599,0.000088961366,0.00007368646],"domain_scores_gemma":[0.99939096,0.00025802554,0.00007173356,0.000057517245,0.00015576974,0.000066004875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034037206,0.000257762,0.00036732017,0.000637673,0.00037926217,0.00062405353,0.00033455246,0.00046899397,0.001308473],"category_scores_gemma":[0.0008392688,0.0001957092,0.00037018908,0.00046145916,0.0005981555,0.0005687783,0.0003344874,0.00024885402,0.00015895965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001937708,0.00034436135,0.11386242,0.00047695742,0.00008754327,0.0011274958,0.0011721106,0.52040505,0.2815757,0.0033705395,0.0026458064,0.07299432],"study_design_scores_gemma":[0.00007329214,0.0010789098,0.09976817,0.0000268447,0.00006729463,0.0001233291,0.00097044895,0.8254869,0.06977842,0.0005548002,0.0019475153,0.00012413219],"about_ca_topic_score_codex":0.0063670785,"about_ca_topic_score_gemma":0.004065032,"teacher_disagreement_score":0.0063670785,"about_ca_system_score_codex":0.00046511728,"about_ca_system_score_gemma":0.0005867749,"threshold_uncertainty_score":0.012660027},"labels":[],"label_agreement":null},{"id":"W4319288656","doi":"10.3390/en16041613","title":"Strategies of Energy Suppliers and Consumer Awareness in Green Energy Optics","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Marketing; Production (economics); Business; Homogeneous; Hierarchy; Process (computing); Consumer behaviour; Economics; Environmental economics; Microeconomics; Computer science; Mathematics; Market economy; Statistics","score_opus":0.011152232008539998,"score_gpt":0.21898110021288228,"score_spread":0.2078288682043423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319288656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885223,0.00007932696,0.00039194076,0.00032429709,0.000002893579,0.0000054244565,0.00000472065,0.0000022395593,0.010666859],"genre_scores_gemma":[0.9995497,0.000039130453,0.000078686324,0.000034161778,0.0000014516268,0.0000018075025,0.000003261874,7.649171e-7,0.00029099526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983814,0.0008577008,0.00007704186,0.00011575847,0.00037465262,0.00019345137],"domain_scores_gemma":[0.99372876,0.0038333836,0.0013596857,0.00017651565,0.0005861224,0.00031545802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022640775,0.00013372008,0.00014638744,0.00090319634,0.00085679744,0.0028220667,0.00023260099,0.00087896234,0.002540526],"category_scores_gemma":[0.006820129,0.00021082134,0.00016134552,0.0008666076,0.0013513106,0.0019292599,0.0014743832,0.00078355824,0.00014532905],"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":[0.00027112025,0.00043510913,0.72044975,0.00023498648,0.00008435562,0.0007990961,0.18872327,0.00096300355,0.0036368063,0.022609776,0.0007569215,0.0610358],"study_design_scores_gemma":[0.000021510807,0.00029733375,0.58236486,0.00017954543,0.000078494835,0.0007379631,0.38552168,0.002612229,0.0022173144,0.009970933,0.015918877,0.00007915011],"about_ca_topic_score_codex":0.0025590493,"about_ca_topic_score_gemma":0.003890213,"teacher_disagreement_score":0.0028220667,"about_ca_system_score_codex":0.0010248047,"about_ca_system_score_gemma":0.0008748727,"threshold_uncertainty_score":0.011973739},"labels":[],"label_agreement":null},{"id":"W4319317173","doi":"10.3390/en16041560","title":"Bioenergy for Community Energy Security in Canada: Challenges in the Business Ecosystem","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bioenergy; Business; Energy security; Natural resource economics; Environmental resource management; Subsidy; Ecosystem services; Renewable energy; Government (linguistics); Environmental economics; Environmental planning; Ecosystem; Economics; Environmental science; Ecology","score_opus":0.05970256262673548,"score_gpt":0.28451779406606853,"score_spread":0.22481523143933305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319317173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8533503,0.0014582374,0.0011254435,0.07032231,0.00008282193,0.00007526466,0.00013210555,0.000022937225,0.073430665],"genre_scores_gemma":[0.99143726,0.0006912629,0.00038323225,0.001840608,0.0000047382564,0.000010213933,0.00003057348,0.000008116137,0.0055941404],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714416,0.0004929303,0.000047296515,0.00015419828,0.000932688,0.0012287437],"domain_scores_gemma":[0.99663204,0.00064529595,0.00018852188,0.000067586785,0.0009745654,0.0014920074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021262304,0.00022810396,0.00023944589,0.0007144606,0.033479434,0.008614477,0.0011389685,0.0015102114,0.0041343076],"category_scores_gemma":[0.0033518234,0.00021431176,0.0002701418,0.0016599796,0.007219481,0.0025658768,0.0045531755,0.0028291326,0.00015366274],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013330317,0.00025177852,0.1563755,0.0004310057,0.000073558265,0.006255497,0.45585385,0.0020565495,0.0063792714,0.17950098,0.03613232,0.15655637],"study_design_scores_gemma":[0.000005691261,0.000026814416,0.042072468,0.00017760227,0.000014164488,0.00019970986,0.82824165,0.00085626135,0.0005611422,0.0065989667,0.12118317,0.00006241148],"about_ca_topic_score_codex":0.98505765,"about_ca_topic_score_gemma":0.9956585,"teacher_disagreement_score":0.91436994,"about_ca_system_score_codex":0.085630044,"about_ca_system_score_gemma":0.2052084,"threshold_uncertainty_score":0.62129235},"labels":[],"label_agreement":null},{"id":"W4319317300","doi":"10.3390/en16041610","title":"Guest Editorial: Special Issue of ESREL2020 PSAM15","year":2023,"lang":"en","type":"editorial","venue":"Energies","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of New Brunswick","funders":"","keywords":"Breakout; Probabilistic logic; Operations research; Reliability (semiconductor); Computer science; Library science; Political science; Engineering; Artificial intelligence; Business; Physics","score_opus":0.036227753028002144,"score_gpt":0.37115717286178507,"score_spread":0.33492941983378294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319317300","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028134873,0.0019932354,0.00009741682,0.020804921,0.97272485,0.000027694272,0.000114541,0.000073848285,0.0041353162],"genre_scores_gemma":[0.0004215042,0.0025683152,0.00010680478,0.014085541,0.9517198,0.000038514165,0.00012766449,0.000086959706,0.030844806],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953016,0.00066334417,0.0004676601,0.00050785963,0.0027152195,0.00034435638],"domain_scores_gemma":[0.98531204,0.003380201,0.0010824336,0.000387607,0.0070978967,0.0027398919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005553205,0.002838412,0.0026770832,0.003063545,0.0025897177,0.008694037,0.0023288901,0.0096970545,0.06738337],"category_scores_gemma":[0.019469196,0.00083332206,0.0022891446,0.0013677034,0.0014666127,0.0036618672,0.0014880112,0.010062576,0.053588323],"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":[0.000021384452,0.0000070669316,0.000010178652,0.00008329886,0.00000408275,0.000038724866,0.0000031560182,0.000011042786,0.000030382482,0.00012547441,0.9971064,0.0025587569],"study_design_scores_gemma":[0.000041638603,0.000020471765,0.00015080048,0.00019534586,0.000012141619,0.000104122955,0.000015186391,0.000070802016,0.00008268427,0.0005220397,0.9987754,0.000009196705],"about_ca_topic_score_codex":0.0010129648,"about_ca_topic_score_gemma":0.0031670702,"teacher_disagreement_score":0.06738337,"about_ca_system_score_codex":0.002408244,"about_ca_system_score_gemma":0.003465231,"threshold_uncertainty_score":0.22541988},"labels":[],"label_agreement":null},{"id":"W4319319301","doi":"10.3390/en16031549","title":"Developing an Appropriate Energy Trading Algorithm and Techno-Economic Analysis between Peer-to-Peer within a Partly Independent Microgrid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Prosumer; Microgrid; Profitability index; Peer-to-peer; Distributed generation; Computer science; Environmental economics; Profit (economics); Grid; Business; Distributed computing; Renewable energy; Economics; Microeconomics; Engineering","score_opus":0.017994023748854462,"score_gpt":0.23898274064992794,"score_spread":0.22098871690107347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319319301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045862067,0.00015967691,0.9448464,0.00024571145,0.00003796046,0.00018956442,0.000034276305,0.0001785495,0.008445834],"genre_scores_gemma":[0.8781899,0.00023023091,0.11767875,0.000045920016,0.000025858528,0.00023915878,0.000059271308,0.000048827653,0.0034820752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996871,0.00010499022,0.000014669585,0.00005011338,0.00009586693,0.000047310303],"domain_scores_gemma":[0.9994966,0.0002908621,0.000044922384,0.000026858474,0.00011896045,0.000021845866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000950322,0.0005580497,0.00075391267,0.00034796476,0.000529401,0.0011386864,0.0009770943,0.0010071784,0.0024152924],"category_scores_gemma":[0.001990149,0.0003433771,0.0007067227,0.00039942266,0.0004574051,0.0011043892,0.0007803306,0.0007399786,0.0002866168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015171294,0.000029688432,0.0005175731,0.000032459244,0.000013430644,0.000074802745,0.000023697125,0.9825926,0.0007078822,0.0057999115,0.00023210376,0.009960777],"study_design_scores_gemma":[0.0000012871,0.000007929544,0.0000415398,0.0000012031202,0.0000017167071,0.0000082868555,0.000010145398,0.99877447,0.00010784977,0.000930238,0.00011407241,0.0000013407844],"about_ca_topic_score_codex":0.0044297404,"about_ca_topic_score_gemma":0.0033257976,"teacher_disagreement_score":0.0044297404,"about_ca_system_score_codex":0.00082503265,"about_ca_system_score_gemma":0.0010833312,"threshold_uncertainty_score":0.008807898},"labels":[],"label_agreement":null},{"id":"W4319319456","doi":"10.3390/en16041592","title":"Electric Vehicle User Behavior: An Analysis of Charging Station Utilization in Canada","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":58,"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":"Software deployment; Electric vehicle; Grid; Baseline (sea); Service (business); Implementation; Charging station; Environmental economics; Computer science; Telecommunications; Engineering; Transport engineering; Business; Power (physics); Marketing","score_opus":0.009934859016885123,"score_gpt":0.21965873234442143,"score_spread":0.2097238733275363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319319456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953466,0.000094726776,0.00015119131,0.00007539597,0.0000025614647,0.000019557185,0.00289947,0.000014135051,0.0013962709],"genre_scores_gemma":[0.996351,0.00017420156,0.0002646774,0.00003488546,0.0000012332082,0.00001261753,0.002072985,0.000008881589,0.0010795918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938595,0.000053711337,0.000043464257,0.00009691415,0.00023809624,0.00018179446],"domain_scores_gemma":[0.99782133,0.00023141303,0.00025360688,0.00007131004,0.0013072037,0.00031509015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005635918,0.00022243525,0.00033400144,0.0018400537,0.0013633216,0.0011879286,0.0008283921,0.00033694977,0.0013880718],"category_scores_gemma":[0.002645071,0.00021457755,0.00052154384,0.0060293716,0.0005239502,0.00035899374,0.00074270746,0.0003611336,0.00025437822],"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":[0.00010966975,0.000040559396,0.9838483,0.000037595866,0.000059021626,0.00009366856,0.0019677705,0.0007125297,0.0006784416,0.00020717127,0.0010141572,0.011231116],"study_design_scores_gemma":[0.00000203054,0.000015880305,0.9951475,0.000011134662,0.000010877682,0.000037071884,0.0025589191,0.0011236578,0.00014546934,0.000011629119,0.00092311925,0.000012851876],"about_ca_topic_score_codex":0.9895865,"about_ca_topic_score_gemma":0.9940805,"teacher_disagreement_score":0.015506071,"about_ca_system_score_codex":0.015506071,"about_ca_system_score_gemma":0.015787072,"threshold_uncertainty_score":0.11250496},"labels":[],"label_agreement":null},{"id":"W4319319633","doi":"10.3390/en16041595","title":"Multi Dimension-Based Optimal Allocation of Uncertain Renewable Distributed Generation Outputs with Seasonal Source-Load Power Uncertainties in Electrical Distribution Network Using Marine Predator Algorithm","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Particle swarm optimization; Mathematical optimization; Distributed generation; Renewable energy; Computer science; Convergence (economics); Engineering; Mathematics; Electrical engineering","score_opus":0.009574231542534782,"score_gpt":0.20615269205729747,"score_spread":0.1965784605147627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319319633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17924762,0.000535074,0.8121228,0.00030219546,0.00006407122,0.00008256657,0.00005798601,0.00022447496,0.0073632277],"genre_scores_gemma":[0.9394471,0.00016327374,0.05837777,0.00005765772,0.000015321371,0.000086753986,0.00005042731,0.000020107935,0.0017815988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999841,0.000050179922,0.0000073109563,0.00003002496,0.000039962575,0.000031624277],"domain_scores_gemma":[0.99972373,0.0001677239,0.00003712389,0.0000075144194,0.000046452104,0.00001738048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059438223,0.0005990127,0.00060437754,0.00048097686,0.00027923784,0.0008556658,0.0005877368,0.0005685618,0.00085003866],"category_scores_gemma":[0.0009825779,0.0003818046,0.00061651313,0.00034276908,0.00041184848,0.00040222326,0.00057374185,0.0005142814,0.000061648956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001916759,0.00000916082,0.00028017611,0.0000142722765,0.000018493598,0.00002898957,0.000017394514,0.99301285,0.0003422318,0.0011817805,0.00010078743,0.00497469],"study_design_scores_gemma":[0.0000027198566,0.00000843215,0.000039923274,0.0000012170102,0.0000023471105,0.0000021803075,0.0000036511956,0.9996649,0.000056844026,0.00017829944,0.00003855477,9.0808425e-7],"about_ca_topic_score_codex":0.011932459,"about_ca_topic_score_gemma":0.0071063233,"teacher_disagreement_score":0.011932459,"about_ca_system_score_codex":0.00074270886,"about_ca_system_score_gemma":0.0010116792,"threshold_uncertainty_score":0.023725986},"labels":[],"label_agreement":null},{"id":"W4319319647","doi":"10.3390/en16041587","title":"Thermal Conditions in Indoor Environments: Exploring the Reasoning behind Standard-Based Recommendations","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Austrian Science Fund","keywords":"Scope (computer science); Thermal comfort; Context (archaeology); Quality (philosophy); Architectural engineering; Scientific evidence; Computer science; Management science; Risk analysis (engineering); Engineering; Business; Mathematics","score_opus":0.019037811343885755,"score_gpt":0.22433794409598562,"score_spread":0.20530013275209985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319319647","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26371002,0.030648937,0.35220385,0.16887036,0.001835366,0.0029150823,0.0030369004,0.0003330211,0.17644657],"genre_scores_gemma":[0.8590432,0.0072279614,0.12713093,0.0041937246,0.00014488038,0.00067181606,0.00056368025,0.000051892937,0.00097207486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.87154585,0.08421459,0.014836163,0.0061226,0.021637361,0.0016434278],"domain_scores_gemma":[0.56813323,0.370119,0.02007113,0.011664712,0.028910685,0.0011012104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.12507218,0.0011300957,0.0013872221,0.009058037,0.002822849,0.013544025,0.0057928767,0.0045411536,0.003971006],"category_scores_gemma":[0.30157527,0.0010925255,0.0027545544,0.006129523,0.014474444,0.012245087,0.006103197,0.007970602,0.00061272364],"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":[0.000402554,0.00047359045,0.037418425,0.013675618,0.0010298392,0.0013131489,0.10408129,0.014537301,0.0024055117,0.5418543,0.010581777,0.27222666],"study_design_scores_gemma":[0.00020068922,0.00056485366,0.026963895,0.032814484,0.0011192419,0.00063463097,0.13068809,0.019913414,0.00437806,0.6631809,0.119092,0.00044984953],"about_ca_topic_score_codex":0.014658708,"about_ca_topic_score_gemma":0.022745294,"teacher_disagreement_score":0.12507218,"about_ca_system_score_codex":0.011934653,"about_ca_system_score_gemma":0.01538718,"threshold_uncertainty_score":0.66145283},"labels":[],"label_agreement":null},{"id":"W4319320362","doi":"10.3390/en16031533","title":"Six Days Ahead Forecasting of Energy Production of Small Behind-the-Meter Solar Sites","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Photovoltaic system; Solar energy; Benchmark (surveying); Solar irradiance; Metre; Meteorology; Solar power; Engineering; Simulation; Computer science; Environmental science; Power (physics); Electrical engineering; Geography","score_opus":0.04698560343400047,"score_gpt":0.23709175131955137,"score_spread":0.1901061478855509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319320362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9519237,0.00031781936,0.04274284,0.0001412113,0.00009665712,0.000029459645,0.0016681266,0.00044962362,0.0026304843],"genre_scores_gemma":[0.9932201,0.00010436995,0.0046621743,0.000008986109,0.000012525749,0.000009596574,0.0013929425,0.0000133843605,0.0005758598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991906,0.000010802008,0.000004170865,0.000026323094,0.000022610788,0.00001700487],"domain_scores_gemma":[0.99980325,0.000067590605,0.000024377561,0.000029651152,0.000051130533,0.000024013883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002926426,0.0006140302,0.0004191767,0.00036512176,0.00020400368,0.0004068914,0.00046224895,0.00041048662,0.0006597809],"category_scores_gemma":[0.00057222747,0.00015801452,0.00039279336,0.00050948275,0.00011266677,0.0005447058,0.0002805026,0.0005251427,0.0002064961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014966658,0.00011303322,0.013313997,0.000043269294,0.00004031546,0.00009118335,0.000018917923,0.9525672,0.0024821048,0.00028129606,0.0011941096,0.02970481],"study_design_scores_gemma":[0.0000027581366,0.000022660754,0.004483596,0.0000017348515,0.00000443378,0.000006690397,0.000009040685,0.9943869,0.0008002476,0.00011702334,0.00016154718,0.0000033577455],"about_ca_topic_score_codex":0.009030276,"about_ca_topic_score_gemma":0.011763937,"teacher_disagreement_score":0.009030276,"about_ca_system_score_codex":0.00022701199,"about_ca_system_score_gemma":0.00029071103,"threshold_uncertainty_score":0.017955422},"labels":[],"label_agreement":null},{"id":"W4319440555","doi":"10.3390/en16041639","title":"An Integrated Approach to Reservoir Characterization for Evaluating Shale Productivity of Duvernary Shale: Insights from Multiple Linear Regression","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Science Foundation of China University of Petroleum, Beijing; China University of Petroleum, Beijing","keywords":"Oil shale; Total organic carbon; Petroleum engineering; Geology; Mineralogy; Reservoir modeling; Soil science; Shale gas; Quartz; Calcite; Chemistry; Environmental chemistry; Paleontology","score_opus":0.0431825285447256,"score_gpt":0.28923674872118743,"score_spread":0.24605422017646184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319440555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6537154,0.0004546906,0.34104064,0.00013143105,0.000007950882,0.00009535423,0.000660525,0.0012807335,0.0026133265],"genre_scores_gemma":[0.9415745,0.00017108524,0.057353828,0.000012517728,0.0000034858274,0.000032479573,0.00021555564,0.000041695093,0.0005947392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996344,0.000098244265,0.000028158222,0.00008753933,0.00012263763,0.000029039953],"domain_scores_gemma":[0.9994603,0.00022849216,0.0000901261,0.00004202945,0.00016174778,0.00001736334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010661113,0.0006714705,0.00055363786,0.0010873936,0.00020393326,0.0008658758,0.0005543425,0.00032587143,0.0005441873],"category_scores_gemma":[0.0017694556,0.00026954134,0.00044753615,0.0012061937,0.00015872881,0.0007604028,0.00037040794,0.00034130318,0.00017395153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036405117,0.00033843133,0.11860861,0.00027532328,0.00024023058,0.00026575965,0.00034980755,0.5175956,0.12624986,0.0017406828,0.00041692762,0.23355463],"study_design_scores_gemma":[0.0000040108657,0.00006556988,0.016817762,0.0000059154545,0.000021683962,0.000022143697,0.000068218054,0.9727621,0.009752002,0.0002446181,0.00021672768,0.000019288818],"about_ca_topic_score_codex":0.020893037,"about_ca_topic_score_gemma":0.02991264,"teacher_disagreement_score":0.020893037,"about_ca_system_score_codex":0.00066036626,"about_ca_system_score_gemma":0.00075530016,"threshold_uncertainty_score":0.041542828},"labels":[],"label_agreement":null},{"id":"W4319442476","doi":"10.3390/en16041618","title":"Design and Evaluation of a Water-Based, Semitransparent Photovoltaic Thermal Trombe Wall","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Overheating (electricity); Photovoltaic system; Environmental science; Materials science; Thermal; Voltage; Thermal energy storage; Nuclear engineering; Meteorology; Electrical engineering; Engineering","score_opus":0.034974753388047716,"score_gpt":0.23420398750127533,"score_spread":0.19922923411322763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319442476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77421767,0.0010352832,0.20912296,0.00025748028,0.00026333853,0.0004074429,0.00033960765,0.0012586022,0.013097589],"genre_scores_gemma":[0.9375718,0.0003863382,0.054672714,0.00006757024,0.000014790942,0.0003494815,0.00017238285,0.000089335306,0.0066756033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998016,0.000026392137,0.000011222468,0.000041225685,0.00008237674,0.0000373221],"domain_scores_gemma":[0.9997422,0.000027053222,0.000051183564,0.000039576986,0.00008964091,0.000050429604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026807768,0.00035543015,0.00043290973,0.00026709723,0.00027285478,0.000734695,0.0012434421,0.00065224996,0.0019073399],"category_scores_gemma":[0.000405362,0.00026514055,0.00042163942,0.0002014954,0.0002504932,0.0004932513,0.00046402702,0.0003142117,0.0008551503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041475162,0.00026846954,0.0036900556,0.00075509946,0.000073299525,0.000995166,0.0002099687,0.05757973,0.87504625,0.0023046073,0.0023562175,0.05630645],"study_design_scores_gemma":[0.00019040827,0.0046254345,0.014309725,0.00015474446,0.00024747627,0.0010200675,0.00037304385,0.2971025,0.6325568,0.0006561294,0.04861852,0.00014503163],"about_ca_topic_score_codex":0.00042219987,"about_ca_topic_score_gemma":0.0005947086,"teacher_disagreement_score":0.0019073399,"about_ca_system_score_codex":0.0002804355,"about_ca_system_score_gemma":0.00050488353,"threshold_uncertainty_score":0.006380737},"labels":[],"label_agreement":null},{"id":"W4319759209","doi":"10.3390/en16041707","title":"A Low Q Three-Phase Series Resonant Converter for PV Applications","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitor; Pulse-width modulation; Electronic engineering; Pulse-frequency modulation; Modulation (music); Voltage; Boost converter; Range (aeronautics); Photovoltaic system; Engineering; Electrical engineering; Pulse (music); Physics; Pulse-amplitude modulation; Acoustics","score_opus":0.011627396571012737,"score_gpt":0.25152334588660813,"score_spread":0.23989594931559538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319759209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0807481,0.0009842486,0.9048778,0.0002451532,0.00013232355,0.00008814917,0.0000767472,0.0008648136,0.011982795],"genre_scores_gemma":[0.8358945,0.00070466305,0.15519413,0.00020798773,0.000060095805,0.00008408114,0.00007584805,0.00008712391,0.007691497],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999119,0.000012880652,0.0000048605903,0.000020594318,0.00004397541,0.00000578883],"domain_scores_gemma":[0.9999423,0.00001455517,0.000010590475,0.0000089166615,0.00001959128,0.0000040784003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117076204,0.00020034003,0.00025909673,0.00015433277,0.00021925362,0.0004009544,0.00054486305,0.0002844382,0.0014982512],"category_scores_gemma":[0.00014054001,0.00011480828,0.00024643718,0.00019094876,0.00019598447,0.00038124793,0.00015495016,0.000470474,0.00076919544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012076775,0.00006360628,0.00040504072,0.00031250238,0.000023985409,0.00013786508,0.00007151787,0.0054648854,0.86482525,0.008965472,0.0009549061,0.11865419],"study_design_scores_gemma":[0.00013762976,0.0012417928,0.002228346,0.00007123882,0.00010262089,0.0029234544,0.00010458125,0.29603106,0.63533825,0.008969028,0.05277719,0.00007479283],"about_ca_topic_score_codex":0.00016469379,"about_ca_topic_score_gemma":0.00029118595,"teacher_disagreement_score":0.0014982512,"about_ca_system_score_codex":0.00018980082,"about_ca_system_score_gemma":0.00017564172,"threshold_uncertainty_score":0.0050121546},"labels":[],"label_agreement":null},{"id":"W4319923604","doi":"10.3390/en16041754","title":"Dynamic Control of Traction Motor for EV Fed via Dual Source Inverter with a Two Battery System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Vector control; Induction motor; Traction motor; Voltage; Battery (electricity); Z-source inverter; Control theory (sociology); Traction (geology); Inverter; Engineering; Electrical engineering; Computer science; Power (physics); Physics; Control (management)","score_opus":0.00792341600027013,"score_gpt":0.23594016078166577,"score_spread":0.22801674478139564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319923604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7804776,0.0002969959,0.2023249,0.00015635807,0.00009793247,0.00011198753,0.00012553831,0.0009094711,0.0154993115],"genre_scores_gemma":[0.9956098,0.000037498005,0.0030176765,0.00000898609,0.0000044510343,0.000026463678,0.000026408316,0.0000076072843,0.0012610928],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990964,0.000014205663,0.000007486572,0.00001719656,0.000038665778,0.0000128162455],"domain_scores_gemma":[0.9999291,0.000017155304,0.000013461372,0.000007901309,0.000027013417,0.000005311486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010984105,0.00025818063,0.00032147364,0.00018243809,0.00021153493,0.00035036544,0.00030631723,0.0002298365,0.0012199199],"category_scores_gemma":[0.00013974596,0.00007109557,0.00015851752,0.000119306635,0.000121473415,0.00012768988,0.0001615746,0.00017983808,0.00016570918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001834922,0.0005367662,0.0037103277,0.00067149097,0.00010766554,0.00083101884,0.00056207355,0.10214355,0.7123905,0.003591236,0.0015295713,0.17209086],"study_design_scores_gemma":[0.00022185103,0.0021165945,0.008953946,0.00004843267,0.00008518685,0.0003886795,0.00013063435,0.858776,0.11905407,0.0009054315,0.009278088,0.000041010655],"about_ca_topic_score_codex":0.00089161133,"about_ca_topic_score_gemma":0.0010668052,"teacher_disagreement_score":0.0012199199,"about_ca_system_score_codex":0.00019394557,"about_ca_system_score_gemma":0.00012116661,"threshold_uncertainty_score":0.0040810704},"labels":[],"label_agreement":null},{"id":"W4320496135","doi":"10.3390/en16041801","title":"On the Hydrothermal Behavior of Fluid Flow and Heat Transfer in a Helical Double-Tube Heat Exchanger with Curved Swirl Generator; Impacts of Length and Position","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Heat exchanger; Mechanics; Generator (circuit theory); Materials science; Nusselt number; Fluent; Heat transfer; Vortex generator; Conical surface; Heat transfer coefficient; Position (finance); Thermal; Flow (mathematics); Boiler (water heating); Tube (container); Thermodynamics; Computational fluid dynamics; Reynolds number; Physics; Composite material; Turbulence; Vortex; Power (physics)","score_opus":0.012942886323356223,"score_gpt":0.21396622484761763,"score_spread":0.2010233385242614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320496135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98284274,0.00021148933,0.0143961,0.0000617941,0.000010839385,0.0000126736,0.000065414,0.00006440392,0.002334476],"genre_scores_gemma":[0.9978181,0.00006264345,0.0017884542,0.0000027275166,0.0000010905931,0.0000071888394,0.000018453446,0.0000041666917,0.0002971894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999347,0.000011867898,0.000002832514,0.000017371565,0.000018529818,0.000014764823],"domain_scores_gemma":[0.9998697,0.00006389676,0.000029862078,0.000008642638,0.000020640558,0.000007220285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020819055,0.00027366268,0.0002542245,0.0002338837,0.0002326214,0.0003532653,0.0002326407,0.00032838449,0.0005942553],"category_scores_gemma":[0.0003811818,0.00015389368,0.00033232154,0.00021609833,0.00038921964,0.00033316316,0.00017292026,0.00015318186,0.00011432366],"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":[0.00028972913,0.000118302625,0.0063041835,0.00028093698,0.000026071542,0.0004253003,0.00013214564,0.70449126,0.27389956,0.002612948,0.00035158676,0.01106796],"study_design_scores_gemma":[0.000009763526,0.000119816184,0.0021020786,0.000005770691,0.000007497758,0.00003306176,0.000032780044,0.9504963,0.046802744,0.00017692187,0.00019944287,0.000013849269],"about_ca_topic_score_codex":0.0020943636,"about_ca_topic_score_gemma":0.0014121829,"teacher_disagreement_score":0.0020943636,"about_ca_system_score_codex":0.00030508122,"about_ca_system_score_gemma":0.0002529988,"threshold_uncertainty_score":0.0041643977},"labels":[],"label_agreement":null},{"id":"W4320496177","doi":"10.3390/en16041792","title":"Evaluation of Different Optimization Techniques and Control Strategies of Hybrid Microgrid: A Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Renewable energy; Microgrid; Photovoltaic system; Wind power; Reliability engineering; Distributed generation; Grid parity; Computer science; Environmental economics; Automotive engineering; Engineering; Electrical engineering","score_opus":0.02884415867496154,"score_gpt":0.29370060799975845,"score_spread":0.2648564493247969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320496177","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":[0.0073548546,0.9227827,0.05537752,0.00040367342,0.0003471251,0.0000672739,0.00012126486,0.00014927787,0.013396191],"genre_scores_gemma":[0.10007051,0.8621206,0.031564545,0.00022187579,0.0006110423,0.00012147046,0.00040396888,0.00007143543,0.0048145493],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997359,0.000053426782,0.000035248784,0.000058406124,0.000094119474,0.000022831957],"domain_scores_gemma":[0.99957234,0.00021959309,0.000044837183,0.000017993867,0.00013077234,0.000014541406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062414573,0.0012795049,0.0010767505,0.0012039732,0.00023095176,0.0012412907,0.0009019004,0.00064806006,0.002678074],"category_scores_gemma":[0.0009258086,0.0004979994,0.001120571,0.001820022,0.0002212617,0.0009813224,0.00043434245,0.00046091844,0.0005942086],"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":[0.00014955329,0.00015670568,0.0010046366,0.015641194,0.00041023447,0.00019534037,0.00012304616,0.07983618,0.0028941662,0.00992866,0.009028185,0.880632],"study_design_scores_gemma":[0.000114856586,0.002190718,0.008856283,0.012107789,0.0021950952,0.0015416875,0.00090976094,0.3244982,0.011758938,0.024314275,0.61121124,0.00030107226],"about_ca_topic_score_codex":0.0024403075,"about_ca_topic_score_gemma":0.0017187798,"teacher_disagreement_score":0.002678074,"about_ca_system_score_codex":0.00035321445,"about_ca_system_score_gemma":0.00070468895,"threshold_uncertainty_score":0.008958995},"labels":[],"label_agreement":null},{"id":"W4320919775","doi":"10.3390/en16041914","title":"Technoeconomic Feasibility of Bioenergy Production from Wood Sawdust","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"","keywords":"Sawdust; Bioenergy; Torrefaction; Pellets; Furfural; Pulp and paper industry; Biorefinery; Raw material; Environmental science; Waste management; Payback period; Pelletizing; Net present value; Heat of combustion; Renewable energy; Internal rate of return; Pellet; Biomass (ecology); Biofuel; Production (economics); Engineering; Chemistry; Materials science; Pyrolysis; Agronomy; Composite material; Economics","score_opus":0.02066176915708338,"score_gpt":0.21882299983831702,"score_spread":0.19816123068123365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320919775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858897,0.00020881195,0.0060391035,0.000066454624,0.0000144878695,0.00005595582,0.00022827002,0.000026754704,0.0074704983],"genre_scores_gemma":[0.99864453,0.00007266505,0.0006809055,0.000004681389,9.124892e-7,0.00002195744,0.000082806,0.000004896882,0.00048663054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995945,0.00012012406,0.000013608912,0.000042999724,0.00013193613,0.0000969413],"domain_scores_gemma":[0.999411,0.0003896816,0.00006318087,0.000027106384,0.000079622325,0.000029501645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008402758,0.00054318504,0.00040960143,0.0006550492,0.0003634085,0.0014460263,0.00049563916,0.0008666992,0.0027081952],"category_scores_gemma":[0.0011071438,0.00033143818,0.00069636805,0.0006153349,0.00044367628,0.0009950574,0.00036293417,0.00056030316,0.00022373952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045261873,0.0001384632,0.004730711,0.00010806061,0.000039757146,0.0006657698,0.000021119895,0.9694977,0.01672506,0.0016353041,0.00010976211,0.0058757085],"study_design_scores_gemma":[0.00011245757,0.0015693001,0.011747144,0.000043080236,0.00007827524,0.0002700814,0.00037985176,0.94632167,0.035444878,0.0025587915,0.0014193861,0.00005504022],"about_ca_topic_score_codex":0.0034457778,"about_ca_topic_score_gemma":0.00352337,"teacher_disagreement_score":0.0034457778,"about_ca_system_score_codex":0.0013215124,"about_ca_system_score_gemma":0.00080101506,"threshold_uncertainty_score":0.009588242},"labels":[],"label_agreement":null},{"id":"W4320920791","doi":"10.3390/en16041902","title":"Adaptive Neural Network Q-Learning-Based Full Recurrent Adaptive NeuroFuzzy Nonlinear Control Paradigms for Bidirectional-Interlinking Converter in a Grid-Connected Hybrid AC-DC Microgrid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Microgrid; Control theory (sociology); Total harmonic distortion; AC power; Computer science; Artificial neural network; Engineering; Voltage; Control (management); Electrical engineering; Artificial intelligence","score_opus":0.010199176582945644,"score_gpt":0.20482247169983495,"score_spread":0.1946232951168893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320920791","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06877189,0.0007500433,0.9194322,0.0002577431,0.00011882118,0.00009599126,0.000030824853,0.00040892902,0.010133583],"genre_scores_gemma":[0.9803131,0.00018760012,0.017111773,0.00007421869,0.000022527445,0.000074553245,0.000018588307,0.000008357784,0.0021892136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998097,0.000036193884,0.00001671369,0.00005410166,0.000058173886,0.000025233137],"domain_scores_gemma":[0.9998011,0.000051190094,0.000036302466,0.000014293425,0.000087719825,0.000009401414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005182474,0.000504517,0.00047142102,0.00016979258,0.00036710943,0.000585852,0.0008303508,0.00053676654,0.0010913855],"category_scores_gemma":[0.00065228256,0.00016845636,0.00035615923,0.00025485063,0.0004588978,0.00039206832,0.00049451884,0.0005244846,0.00016699701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012137396,0.0000782,0.0006315053,0.00012547687,0.00006625927,0.00018581524,0.00016341438,0.909703,0.010879772,0.009271953,0.0009211972,0.06785199],"study_design_scores_gemma":[0.000005850586,0.000034716624,0.00007370841,0.0000034569093,0.000006644502,0.000009229772,0.000004668116,0.99865496,0.00040778445,0.00059153105,0.00020421536,0.000003161577],"about_ca_topic_score_codex":0.0068913903,"about_ca_topic_score_gemma":0.004390831,"teacher_disagreement_score":0.0068913903,"about_ca_system_score_codex":0.0004297417,"about_ca_system_score_gemma":0.00043997145,"threshold_uncertainty_score":0.013702571},"labels":[],"label_agreement":null},{"id":"W4320920932","doi":"10.3390/en16041881","title":"How Applicable Are Turbulence Assumptions Used in the Tidal Energy Industry?","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; Engineering and Physical Sciences Research Council","keywords":"Turbulence; Tidal power; Turbulence modeling; Turbulence kinetic energy; K-epsilon turbulence model; K-omega turbulence model; Meteorology; Flow (mathematics); Turbine; Work (physics); Statistical physics; Mechanics; Environmental science; Physics; Marine engineering; Engineering; Aerospace engineering; Mechanical engineering","score_opus":0.02389119665453157,"score_gpt":0.22599006888531678,"score_spread":0.2020988722307852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320920932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24586014,0.0045526326,0.6970506,0.014345003,0.0023058231,0.00032166275,0.002193378,0.0021549026,0.031215914],"genre_scores_gemma":[0.92533594,0.0035909356,0.06477182,0.0020551595,0.00021691364,0.00016545584,0.0011233999,0.0005122654,0.0022282286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99371755,0.0020395482,0.0005493638,0.00081797614,0.0022213745,0.00065414567],"domain_scores_gemma":[0.9867818,0.0052782586,0.0020904345,0.0031062309,0.0024714258,0.00027186165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007298869,0.00089113944,0.0010692582,0.0011245277,0.0014849395,0.004866417,0.0037973046,0.0025137435,0.0016199271],"category_scores_gemma":[0.03536901,0.00069509965,0.001225257,0.001625877,0.0031506498,0.006381278,0.0013706114,0.0022764283,0.0016952334],"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":[0.0005876405,0.00055319665,0.18080741,0.001284147,0.0006152743,0.0020205462,0.002292238,0.36902282,0.019069621,0.16120382,0.025995895,0.2365474],"study_design_scores_gemma":[0.00016037331,0.0007346793,0.11944143,0.0022989502,0.0003328344,0.0017330827,0.0059957886,0.60716176,0.026564484,0.14395668,0.09087097,0.0007489628],"about_ca_topic_score_codex":0.048832487,"about_ca_topic_score_gemma":0.02978284,"teacher_disagreement_score":0.048832487,"about_ca_system_score_codex":0.0026800511,"about_ca_system_score_gemma":0.0021693315,"threshold_uncertainty_score":0.0970965},"labels":[],"label_agreement":null},{"id":"W4321375445","doi":"10.3390/en16042002","title":"Performance Assessment of Cellulose Paper Impregnated in Nanofluid for Power Transformer Insulation Application: A Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; Composite material; Cellulose; Electrical insulation paper; Ultimate tensile strength; Degree of polymerization; Transformer; Polymerization; Moisture; Transformer oil; Dielectric; Insulation system; Process engineering; Chemical engineering; Electrical engineering; Polymer; Engineering; Voltage","score_opus":0.024047517380084715,"score_gpt":0.30598187775261043,"score_spread":0.2819343603725257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321375445","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":[0.0009034613,0.99687034,0.000476594,0.00010204548,0.00014499438,0.000010418171,0.000036479207,0.000012739097,0.0014428338],"genre_scores_gemma":[0.0030326655,0.99509627,0.0005717401,0.000083847284,0.00008630033,0.000012630456,0.000048768055,0.0000038000944,0.0010639379],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980074,0.000021411137,0.000030321395,0.000044576493,0.00008366777,0.0000193487],"domain_scores_gemma":[0.99961877,0.00016443088,0.00007497586,0.000010964165,0.00011272236,0.000018176876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005147868,0.0010418246,0.0010641783,0.0024237172,0.00021747309,0.00071943493,0.0006698454,0.00092728826,0.002421727],"category_scores_gemma":[0.00062964996,0.00040542398,0.000696763,0.0021817072,0.00023706455,0.0011844841,0.0003845842,0.00066698133,0.001192743],"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":[0.00009234793,0.00022727613,0.0003521241,0.051947895,0.00016243746,0.0002583799,0.000111588815,0.0014363361,0.01890859,0.003740416,0.014810743,0.90795183],"study_design_scores_gemma":[0.000012256243,0.0005545897,0.001669241,0.006269395,0.0004037493,0.0014076111,0.00012637819,0.00074747857,0.015074146,0.0013280968,0.972344,0.00006301154],"about_ca_topic_score_codex":0.00079116126,"about_ca_topic_score_gemma":0.0010564891,"teacher_disagreement_score":0.0024237172,"about_ca_system_score_codex":0.00029101025,"about_ca_system_score_gemma":0.0005575468,"threshold_uncertainty_score":0.008101523},"labels":[],"label_agreement":null},{"id":"W4321497639","doi":"10.3390/en16052092","title":"Design and Implementation of Node-Red Based Open-Source SCADA Architecture for a Hybrid Power System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SCADA; Modbus; Arduino; Embedded system; Renewable energy; Supervisory control; Computer science; Power-line communication; Engineering; Real-time computing; Power (physics); Communications protocol; Electrical engineering; Control (management); Operating system","score_opus":0.019406420451443113,"score_gpt":0.2696221988791676,"score_spread":0.25021577842772447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321497639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08643179,0.0002783924,0.8807471,0.00019785912,0.00015456573,0.0009323035,0.00022186767,0.016820125,0.014215998],"genre_scores_gemma":[0.79247797,0.00015399269,0.19759947,0.00010001554,0.000038633923,0.00071418536,0.00040770337,0.00020454836,0.008303521],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942636,0.00010700754,0.000050854836,0.00014948577,0.00021076974,0.000055494984],"domain_scores_gemma":[0.99955183,0.000036132515,0.000046197398,0.00007027039,0.00024729187,0.00004821012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059118523,0.0005884001,0.0004195789,0.00057169155,0.0003854987,0.0008645242,0.0017662874,0.0004708334,0.004694643],"category_scores_gemma":[0.00052062096,0.00028392774,0.00024948025,0.00025454344,0.00027944503,0.00070773676,0.000516339,0.0005139864,0.0015409491],"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":[0.0011650047,0.0010601571,0.010798566,0.0010416624,0.00029489628,0.0012740309,0.0014854098,0.25646138,0.21412344,0.029423216,0.018809233,0.46406296],"study_design_scores_gemma":[0.00024304792,0.001197013,0.004436759,0.00006297829,0.00010278545,0.0003290458,0.000121845114,0.874528,0.07047802,0.0020716484,0.046325874,0.000103024315],"about_ca_topic_score_codex":0.0020524461,"about_ca_topic_score_gemma":0.0016107614,"teacher_disagreement_score":0.004694643,"about_ca_system_score_codex":0.0005765804,"about_ca_system_score_gemma":0.0007201905,"threshold_uncertainty_score":0.015705109},"labels":[],"label_agreement":null},{"id":"W4321498171","doi":"10.3390/en16052104","title":"Influence of Battery Energy, Charging Power, and Charging Locations upon EVs’ Ability to Meet Trip Needs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"University of California, Davis","keywords":"Battery (electricity); Automotive engineering; Sample (material); Transport engineering; Electric vehicle; Driving range; Population; Engineering; Power (physics)","score_opus":0.004967595403088396,"score_gpt":0.20230280667954714,"score_spread":0.19733521127645876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321498171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899215,0.000019324722,0.00027226002,0.000020839045,0.0000015506649,0.0000046471328,0.00014103368,0.000012477667,0.00053580146],"genre_scores_gemma":[0.9994393,0.00001362529,0.00011997353,0.0000054363827,9.535631e-7,0.0000029486912,0.0002307873,0.000005747838,0.00018124483],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994742,0.00015012827,0.000028611415,0.00009631301,0.000084316955,0.00016636397],"domain_scores_gemma":[0.9950642,0.0034566491,0.0003814994,0.00030618577,0.00051197206,0.0002795638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010762941,0.00035550504,0.00027721096,0.00044484125,0.00027682932,0.00092871796,0.00042954367,0.0004386519,0.0014717759],"category_scores_gemma":[0.0076587903,0.0002238475,0.00050980557,0.00040013,0.00033100462,0.0009143719,0.00059290207,0.00040036978,0.00036685946],"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":[0.0011036604,0.00027496408,0.7164442,0.000040172774,0.00022308537,0.0003230349,0.00015897385,0.26278895,0.0054634297,0.00040203647,0.0006506289,0.012126912],"study_design_scores_gemma":[0.000042008072,0.00090386235,0.6747867,0.000014874243,0.00015332657,0.00038969217,0.0014864176,0.31381255,0.0065590004,0.0005064525,0.0012996263,0.000045642842],"about_ca_topic_score_codex":0.015260734,"about_ca_topic_score_gemma":0.01920585,"teacher_disagreement_score":0.015260734,"about_ca_system_score_codex":0.0004964347,"about_ca_system_score_gemma":0.00042542425,"threshold_uncertainty_score":0.030343771},"labels":[],"label_agreement":null},{"id":"W4321787770","doi":"10.3390/en16052179","title":"Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université du Québec en Outaouais; Université de Sherbrooke","funders":"","keywords":"Wind power; Renewable energy; Automotive engineering; Computer science; Energy storage; Energy management; Electric power system; Grid; Smart grid; Intermittent energy source; Reliability engineering; Power (physics); Simulation; Engineering; Distributed generation; Electrical engineering; Energy (signal processing)","score_opus":0.0045058135110507685,"score_gpt":0.2194966204306643,"score_spread":0.21499080691961353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321787770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016715443,0.00018171204,0.9702889,0.00062876655,0.00014892388,0.00028758822,0.00018335042,0.00023086864,0.01133459],"genre_scores_gemma":[0.8825909,0.00032696885,0.10518445,0.00031981556,0.00010287364,0.0009565227,0.00017341055,0.000055850724,0.010289179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979824,0.0008678674,0.000097540695,0.0003482282,0.00039690686,0.00030703068],"domain_scores_gemma":[0.9972242,0.0018336492,0.00028833133,0.00011953183,0.00042004324,0.00011439119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024667038,0.0011412753,0.0009945594,0.0005549465,0.0007016222,0.0017727131,0.0019872824,0.0017557023,0.004676393],"category_scores_gemma":[0.005504114,0.00038284116,0.0007793531,0.0006137064,0.0014104499,0.0018710544,0.0014415104,0.0025182266,0.00062323804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000905612,0.00008210302,0.00036502082,0.000054334472,0.000028663642,0.00015644469,0.00007488109,0.8861452,0.00074125855,0.099693865,0.0017070227,0.010860653],"study_design_scores_gemma":[0.0000118503485,0.00002545629,0.000027466389,0.0000036613749,0.0000038019339,0.000013193117,0.0000061027717,0.9884343,0.00007661942,0.011041175,0.00035198792,0.000004298687],"about_ca_topic_score_codex":0.0076229344,"about_ca_topic_score_gemma":0.006127989,"teacher_disagreement_score":0.0076229344,"about_ca_system_score_codex":0.002087408,"about_ca_system_score_gemma":0.0025766764,"threshold_uncertainty_score":0.015644133},"labels":[],"label_agreement":null},{"id":"W4322502377","doi":"10.3390/en16052251","title":"The Impact of Battery Storage on Power Flow and Economy in an Automated Transactive Energy Market","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Prosumer; Battery (electricity); Energy storage; Energy market; Grid; Energy flow; Computer science; Environmental economics; Energy (signal processing); Power (physics); Control (management); Smart grid; Flow battery; Electricity; Reliability engineering; Economics; Engineering; Electrical engineering; Renewable energy","score_opus":0.005368360548913925,"score_gpt":0.221676151071919,"score_spread":0.21630779052300506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322502377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670233,0.00006226522,0.025404714,0.00018955886,0.000009744398,0.000051236886,0.000023526422,0.00007294059,0.007162615],"genre_scores_gemma":[0.99874556,0.000009257904,0.0010042766,0.000007815761,0.0000010831078,0.0000066427538,0.0000032056093,0.0000022075471,0.00021989222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894017,0.00062138174,0.000030543448,0.00009900665,0.00015610967,0.00015285333],"domain_scores_gemma":[0.99570054,0.0031668213,0.0004158151,0.0002843089,0.00026058717,0.00017196679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021031818,0.0005342606,0.00041298862,0.00037137393,0.0005389323,0.0014935987,0.00076453306,0.00077221694,0.0022714227],"category_scores_gemma":[0.0052801017,0.00024377079,0.00029072462,0.00030668368,0.0011985062,0.0025522301,0.001211149,0.00059920794,0.000120885255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001272435,0.000675222,0.0054100226,0.000073690826,0.000064567575,0.00045925143,0.00025909996,0.93024695,0.007999232,0.018598141,0.00028110878,0.034660295],"study_design_scores_gemma":[0.00009783095,0.00065645896,0.002085516,0.0000052416017,0.000018569486,0.000084822655,0.00033704506,0.98410195,0.0030367875,0.009123989,0.00043375907,0.000017941727],"about_ca_topic_score_codex":0.0036498082,"about_ca_topic_score_gemma":0.0027345314,"teacher_disagreement_score":0.0036498082,"about_ca_system_score_codex":0.0008682655,"about_ca_system_score_gemma":0.00079248665,"threshold_uncertainty_score":0.011122823},"labels":[],"label_agreement":null},{"id":"W4322502581","doi":"10.3390/en16052233","title":"In Situ Combustion of Heavy Oil within a Vuggy Carbonate Reservoir: Part I—Feasibility Study","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Carbonate; Combustion; Petroleum engineering; Dolomite; Enhanced oil recovery; Oil in place; Geology; Porosity; Environmental science; Mineralogy; Chemistry; Petroleum; Materials science; Geotechnical engineering; Metallurgy","score_opus":0.029388090652399876,"score_gpt":0.2674376955946297,"score_spread":0.23804960494222982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322502581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975139,0.000053808286,0.001844994,0.00001705671,0.000004609958,0.00004159945,0.00007872011,0.00001984473,0.00042531165],"genre_scores_gemma":[0.99687994,0.000085948865,0.0025140238,0.00000511027,0.0000024595083,0.000024917692,0.00004955971,0.000006122577,0.00043201586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997913,0.000022261493,0.0000096075955,0.00004256461,0.00009095305,0.0000432847],"domain_scores_gemma":[0.9998398,0.00005247733,0.000029080762,0.00001813236,0.000037873306,0.000022647948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041202345,0.00030857392,0.0003811896,0.00023341543,0.00037297606,0.00032866606,0.00047184003,0.00048943475,0.0007808904],"category_scores_gemma":[0.00035012502,0.00017356368,0.0003808293,0.0001984495,0.00042865385,0.0003930467,0.00034681556,0.0004442099,0.00015188944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043966324,0.00019256453,0.0025524271,0.00013782574,0.000007836888,0.0002114716,0.00008918902,0.0029898996,0.99069315,0.00013613068,0.000028044693,0.0025218294],"study_design_scores_gemma":[0.000040060993,0.0022250314,0.0054702503,0.000007712004,0.000015716623,0.0001155627,0.00016121224,0.012029268,0.9793418,0.000040027957,0.00053409894,0.000019281915],"about_ca_topic_score_codex":0.0032513647,"about_ca_topic_score_gemma":0.0032262634,"teacher_disagreement_score":0.0032513647,"about_ca_system_score_codex":0.00046011264,"about_ca_system_score_gemma":0.00043736966,"threshold_uncertainty_score":0.0064648986},"labels":[],"label_agreement":null},{"id":"W4322742403","doi":"10.3390/en16052355","title":"A Survey on Key Management and Authentication Approaches in Smart Metering Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Smart grid; Computer security; Computer science; Authentication (law); Key (lock); Key management; Context (archaeology); Cryptography; Reliability (semiconductor); Engineering; Power (physics)","score_opus":0.04775667979410131,"score_gpt":0.22095768309952832,"score_spread":0.173201003305427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322742403","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":[0.0053599617,0.77447426,0.17261715,0.0025001392,0.0012527243,0.0002706441,0.00021399297,0.0003652763,0.04294592],"genre_scores_gemma":[0.08953809,0.8162847,0.07919209,0.0011581038,0.0020587372,0.00033635105,0.00062595395,0.0001009857,0.010704961],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781114,0.0005398615,0.00037951162,0.00034994123,0.0007604136,0.00015910357],"domain_scores_gemma":[0.9976253,0.0013589022,0.00020498458,0.0002948371,0.00045736742,0.00005857452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018291814,0.0012604534,0.0011857529,0.0034032837,0.0010095778,0.0034003141,0.001695068,0.0017580513,0.0053849174],"category_scores_gemma":[0.0037893257,0.0008073436,0.0008595515,0.0062892935,0.0012653178,0.00755284,0.001561846,0.0020069191,0.0031548685],"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":[0.00017234485,0.00016278784,0.001103257,0.01034407,0.00009579682,0.00033668973,0.0007134461,0.006096184,0.0039323866,0.18248613,0.017579835,0.7769771],"study_design_scores_gemma":[0.000029268094,0.00037203217,0.0016161712,0.004201204,0.0001694973,0.0027052718,0.0007966135,0.018011346,0.0050812014,0.09027341,0.876606,0.00013808186],"about_ca_topic_score_codex":0.0008670461,"about_ca_topic_score_gemma":0.0004887599,"teacher_disagreement_score":0.0053849174,"about_ca_system_score_codex":0.0013781394,"about_ca_system_score_gemma":0.0016308344,"threshold_uncertainty_score":0.018014371},"labels":[],"label_agreement":null},{"id":"W4322743240","doi":"10.3390/en16052348","title":"Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microporous material; Adsorption; Porosity; Hydrogen storage; Algorithm; Carbon fibers; Volume (thermodynamics); Materials science; Random forest; Process engineering; Computer science; Environmental science; Hydrogen; Chemical engineering; Biological system; Machine learning; Chemistry; Engineering; Thermodynamics; Composite material; Organic chemistry; Physics","score_opus":0.009414622594766482,"score_gpt":0.23790450723667017,"score_spread":0.2284898846419037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322743240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26326805,0.0016659014,0.7291242,0.00043456993,0.000074035604,0.000068437665,0.00011860693,0.00057569734,0.0046704495],"genre_scores_gemma":[0.92915803,0.0005655969,0.0687294,0.000057057077,0.000030784537,0.000083335726,0.00014709833,0.00003420039,0.0011943845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981755,0.00006863857,0.000010749489,0.000031378906,0.000047470287,0.00002425697],"domain_scores_gemma":[0.99951637,0.00030178632,0.000045592606,0.000029625093,0.000095222626,0.000011342653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008405685,0.00048675181,0.0005815607,0.000464233,0.00023441658,0.00048435942,0.00044723612,0.00063213386,0.00035624043],"category_scores_gemma":[0.0015041314,0.00017573487,0.0006793626,0.00042306003,0.00025162208,0.000585119,0.00026719403,0.00044912723,0.00010914631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044884004,0.000034769942,0.0017022309,0.000058565187,0.000032641543,0.000037784554,0.000021250022,0.96360826,0.0017249705,0.0022961232,0.00029310363,0.030145345],"study_design_scores_gemma":[0.0000012792815,0.000007926634,0.000080276266,0.0000017309504,0.000002433561,0.0000033212937,0.0000013864266,0.9993175,0.0002632926,0.00026728865,0.000052133648,0.0000014699593],"about_ca_topic_score_codex":0.0067448965,"about_ca_topic_score_gemma":0.004478975,"teacher_disagreement_score":0.0067448965,"about_ca_system_score_codex":0.00036341886,"about_ca_system_score_gemma":0.0006128694,"threshold_uncertainty_score":0.0134112835},"labels":[],"label_agreement":null},{"id":"W4323044483","doi":"10.3390/en16052414","title":"The Law of Liquid–Solid Carrying in the Wellbore of Natural Gas Hydrate Gas Well under the Condition of Foam Drainage Gas Recovery","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Natural Science Foundation of Sichuan Province; Higher Education Discipline Innovation Project; National Natural Science Foundation of China; State Key Laboratory of Coal Mine Disaster Dynamics and Control; Industrial Technology Research Institute; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation","keywords":"Drainage; Petroleum engineering; Natural gas; Hydrate; Clathrate hydrate; Geology; Cabin pressurization; Environmental science; Waste management; Engineering; Chemistry","score_opus":0.006456572794859439,"score_gpt":0.2268807525159236,"score_spread":0.22042417972106415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323044483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71750176,0.0019554084,0.24560992,0.0006618968,0.00011220269,0.00009145673,0.0002522734,0.00027707935,0.03353799],"genre_scores_gemma":[0.991285,0.0003611237,0.0050374325,0.000028254146,0.000013760927,0.000024053741,0.00003466789,0.000015527892,0.0032001236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976665,0.000024196748,0.000016778366,0.00005572047,0.00010053329,0.000036044246],"domain_scores_gemma":[0.9997961,0.00006626676,0.000047341236,0.000020105063,0.000058243488,0.000011971931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022864138,0.0001794999,0.00014010955,0.0006379943,0.00039386834,0.0005875452,0.00042175537,0.0003612491,0.0016387164],"category_scores_gemma":[0.0007301829,0.00013943836,0.00023721039,0.00021085613,0.001450548,0.0013940631,0.0003185269,0.00033430726,0.00015185468],"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":[0.00018692095,0.00007218219,0.011031895,0.00035960836,0.00002221288,0.0014675532,0.0010134468,0.049670845,0.3278031,0.5647645,0.0016860919,0.041921675],"study_design_scores_gemma":[0.00004603887,0.00042345838,0.015634174,0.00006871635,0.000047386682,0.0019906012,0.0007840379,0.6462962,0.22254659,0.09324729,0.018751055,0.00016442119],"about_ca_topic_score_codex":0.0024995736,"about_ca_topic_score_gemma":0.0014014222,"teacher_disagreement_score":0.0024995736,"about_ca_system_score_codex":0.00046824903,"about_ca_system_score_gemma":0.00038518608,"threshold_uncertainty_score":0.005482018},"labels":[],"label_agreement":null},{"id":"W4323044506","doi":"10.3390/en16052420","title":"Modelling the Impacts of Hydrogen–Methane Blend Fuels on a Stationary Power Generation Engine","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Environmental science; Natural gas; Methane; Thermal efficiency; Combustion; Automotive engineering; Nuclear engineering; Waste management; Engineering; Chemistry","score_opus":0.02542739069393066,"score_gpt":0.2539449572204847,"score_spread":0.22851756652655406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323044506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862343,0.00015270345,0.0070766564,0.000048188354,0.000018323704,0.00006520113,0.00041005478,0.00009485045,0.005899715],"genre_scores_gemma":[0.9957034,0.000116284114,0.0018030639,0.000008863415,0.0000023022894,0.000040525545,0.00022325388,0.00001807154,0.002084293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998677,0.000021957409,0.000008945278,0.000022283946,0.00004167861,0.000037364738],"domain_scores_gemma":[0.99981815,0.00010542763,0.000020169035,0.000009729177,0.000037176855,0.000009415958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028345443,0.00074939465,0.00056348706,0.00041982837,0.00039672415,0.000922846,0.00076545024,0.0011337089,0.0017841859],"category_scores_gemma":[0.0005292229,0.000378412,0.0009137875,0.00037788192,0.00031735023,0.000521641,0.00037976413,0.0004965999,0.0003220313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012844281,0.000086365915,0.0019158934,0.00006690786,0.000015873304,0.00009763161,0.000025563217,0.9870056,0.00870575,0.00023948474,0.00006632902,0.001646175],"study_design_scores_gemma":[0.000018293955,0.00014643268,0.0012371122,0.0000048356924,0.000014353271,0.000011096627,0.000027388669,0.9924758,0.0057563223,0.0000871982,0.00021248261,0.00000877602],"about_ca_topic_score_codex":0.030425824,"about_ca_topic_score_gemma":0.019779209,"teacher_disagreement_score":0.030425824,"about_ca_system_score_codex":0.00093088,"about_ca_system_score_gemma":0.0008546078,"threshold_uncertainty_score":0.060497463},"labels":[],"label_agreement":null},{"id":"W4323315144","doi":"10.3390/en16052460","title":"Thermodynamic Performance of a Cogeneration Plant Driven by Waste Heat from Cement Kilns Exhaust Gases","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Cogeneration; Kiln; Waste management; Waste heat; Engineering; Environmental science; Exergy; Fossil fuel; Renewable energy; Environmental engineering; Process engineering; Petroleum engineering; Mechanical engineering; Electricity generation; Heat exchanger; Thermodynamics; Electrical engineering","score_opus":0.007035953604687012,"score_gpt":0.1750167939312085,"score_spread":0.1679808403265215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323315144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979976,0.000051021645,0.0005472668,0.000020992988,0.000010305235,0.000011489348,0.0001474098,0.000070355505,0.0011435999],"genre_scores_gemma":[0.9993999,0.000026731566,0.00015493244,0.000003037178,7.0835137e-7,0.0000055299174,0.00006800161,0.0000062695053,0.00033493052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981326,0.00003039598,0.000012960246,0.00004353475,0.000061949635,0.00003786013],"domain_scores_gemma":[0.99983335,0.00007104295,0.000010775288,0.000015728254,0.000043746466,0.000025358675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036724418,0.00050951215,0.0006972087,0.0005383208,0.000937542,0.00088924466,0.00049832684,0.0005749048,0.0027401536],"category_scores_gemma":[0.00047894215,0.00032410477,0.0006565621,0.0005851223,0.0004937544,0.00059128134,0.00045574192,0.0005556592,0.00044689374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003798387,0.0007874284,0.03014184,0.0009149988,0.00014200874,0.0012902869,0.0006626137,0.54985976,0.3813235,0.0015450299,0.0014876478,0.028046547],"study_design_scores_gemma":[0.00019904773,0.0026516458,0.038275074,0.00004773142,0.00011183394,0.00019644451,0.00065407273,0.6977798,0.25772586,0.000468019,0.0017721129,0.00011830056],"about_ca_topic_score_codex":0.0101807555,"about_ca_topic_score_gemma":0.009336447,"teacher_disagreement_score":0.0101807555,"about_ca_system_score_codex":0.0009984333,"about_ca_system_score_gemma":0.0005223827,"threshold_uncertainty_score":0.020242989},"labels":[],"label_agreement":null},{"id":"W4323317139","doi":"10.3390/en16052481","title":"Discrete-Time Sliding Mode Current Control for a Seven-Level Cascade H-Bridge Converter","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Consejo Nacional de Ciencia y Tecnología, Paraguay","keywords":"Control theory (sociology); Cascade; Total harmonic distortion; Transient (computer programming); Controller (irrigation); Voltage; Three-phase; H bridge; Current (fluid); Modulation (music); Discrete time and continuous time; Engineering; Computer science; Pulse-width modulation; Physics; Mathematics; Control (management); Electrical engineering","score_opus":0.03296915843680686,"score_gpt":0.26690833834351635,"score_spread":0.23393917990670948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323317139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2718614,0.0004633737,0.7145046,0.00014587125,0.00017417262,0.00015060494,0.000054674965,0.0009689733,0.011676253],"genre_scores_gemma":[0.98939776,0.00006860799,0.009742736,0.000012702753,0.000007380205,0.000025637664,0.000017091043,0.0000051000657,0.0007228416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998492,0.0000236417,0.000011940104,0.000024581977,0.00007755985,0.000013097991],"domain_scores_gemma":[0.9998441,0.000043363012,0.000026100573,0.000016262959,0.00006094171,0.000009226946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003069256,0.00032568318,0.00025889894,0.00023843505,0.00021766331,0.00045825675,0.00048051888,0.0002283919,0.0017831892],"category_scores_gemma":[0.00035188918,0.00010173241,0.00018204884,0.00017135573,0.00025616708,0.00018575422,0.00015015622,0.00031905176,0.00017871601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084294466,0.00037409563,0.00203292,0.00073550775,0.00012510651,0.00052879803,0.00042381245,0.41950464,0.28450406,0.013659608,0.0020357508,0.27523273],"study_design_scores_gemma":[0.000040925952,0.0005474824,0.0006924886,0.0000091719185,0.000020164534,0.000049913033,0.000016663918,0.97743636,0.01957755,0.0005312807,0.001071477,0.0000064448986],"about_ca_topic_score_codex":0.0013858032,"about_ca_topic_score_gemma":0.0013862567,"teacher_disagreement_score":0.0017831892,"about_ca_system_score_codex":0.00028106984,"about_ca_system_score_gemma":0.00025183495,"threshold_uncertainty_score":0.005965352},"labels":[],"label_agreement":null},{"id":"W4323363135","doi":"10.3390/en16052504","title":"Thermal Environment and Animal Comfort of Aviary Prototypes with Photovoltaic Solar Panel on the Roof","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Federal de Viçosa","keywords":"Photovoltaic system; Roof; Thermal comfort; Environmental science; Tile; Humidity; Thermal; Automotive engineering; Engineering; Materials science; Structural engineering; Composite material; Meteorology; Electrical engineering","score_opus":0.01189051455724377,"score_gpt":0.16652312280069934,"score_spread":0.15463260824345557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323363135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992507,0.000030301506,0.00040243057,0.0000037528846,0.0000043590517,0.000005665368,0.000052044325,0.000011992875,0.00023870148],"genre_scores_gemma":[0.9981629,0.00004937128,0.0011057751,0.000003923709,0.0000021858982,0.00001282497,0.00012823266,0.000013286884,0.0005215156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973875,0.00004035393,0.000011337358,0.000055001747,0.00009612329,0.000058425674],"domain_scores_gemma":[0.9996551,0.00007941598,0.000050976418,0.00006465574,0.0001001233,0.000049645852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020523397,0.00033675818,0.00035993493,0.00023766495,0.00026110964,0.00041982156,0.00043920483,0.0003837627,0.0022172239],"category_scores_gemma":[0.0005096571,0.00016045675,0.00048123693,0.00020193064,0.0002758111,0.00024992976,0.0003304966,0.00032024636,0.0003076404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009758518,0.0002447589,0.00668027,0.00022776428,0.000046204415,0.00028379454,0.00023131531,0.003889239,0.9784239,0.00007192557,0.00014235493,0.008782528],"study_design_scores_gemma":[0.00006716221,0.0064014834,0.17565225,0.000036857142,0.00018196892,0.00059337105,0.0010624697,0.008348643,0.8046596,0.00006516486,0.0028556548,0.00007540672],"about_ca_topic_score_codex":0.00079364557,"about_ca_topic_score_gemma":0.0012844905,"teacher_disagreement_score":0.0022172239,"about_ca_system_score_codex":0.0001923232,"about_ca_system_score_gemma":0.00011103929,"threshold_uncertainty_score":0.007417381},"labels":[],"label_agreement":null},{"id":"W4323365110","doi":"10.3390/en16062517","title":"Sustainable Buildings: A Choice, or a Must for Our Future?","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Key (lock); Scale (ratio); Architectural engineering; Sustainable development; Natural resource economics; Environmental economics; Business; Environmental resource management; Economics; Engineering; Computer science; Political science; Geography; Computer security","score_opus":0.014343266117490793,"score_gpt":0.2700797277219978,"score_spread":0.25573646160450697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323365110","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":[0.012595776,0.07726938,0.008669315,0.7466315,0.008913852,0.00001978976,0.00018554708,0.00021119589,0.14550366],"genre_scores_gemma":[0.5509114,0.15687697,0.015542707,0.15337536,0.0076418365,0.00008455499,0.00042624734,0.00049295125,0.11464793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732107,0.0009944938,0.000061447136,0.0002004733,0.0009639591,0.0004585808],"domain_scores_gemma":[0.99858344,0.0003488775,0.00009643736,0.00017362417,0.00044312014,0.00035455002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033800818,0.00056029484,0.00069230946,0.0005283303,0.00426189,0.008097023,0.0010225382,0.0032188073,0.012222925],"category_scores_gemma":[0.003476261,0.00023262251,0.00033617133,0.0011880158,0.015317245,0.012797343,0.003615443,0.0054746564,0.0036962125],"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":[0.000032194344,0.000044211538,0.00074556185,0.00037776394,0.000023653562,0.00008707002,0.0030135955,0.00023974199,0.00079533044,0.74462587,0.18100837,0.069006644],"study_design_scores_gemma":[0.000004083815,0.00002316774,0.0005287652,0.00045055783,0.00000690612,0.0001462432,0.0058681336,0.00009254864,0.00022536542,0.12651785,0.86610806,0.000028425991],"about_ca_topic_score_codex":0.0063532344,"about_ca_topic_score_gemma":0.019920385,"teacher_disagreement_score":0.012222925,"about_ca_system_score_codex":0.0030219075,"about_ca_system_score_gemma":0.0048522684,"threshold_uncertainty_score":0.04088974},"labels":[],"label_agreement":null},{"id":"W4323568147","doi":"10.3390/en16062532","title":"Estimating Sustainable Long-Term Fluid Disposal Rates in the Alberta Basin","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","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":"University of Waterloo; University of Alberta","funders":"University of Alberta; University of Waterloo; U.S. Department of Energy","keywords":"Carbon sequestration; Environmental science; Injector; Permeability (electromagnetism); Petrophysics; Injection well; Carbon dioxide; Saturation (graph theory); Structural basin; Petroleum engineering; Hydrology (agriculture); Environmental engineering; Geology; Engineering; Geotechnical engineering; Chemistry","score_opus":0.011770905376882131,"score_gpt":0.2758716499399569,"score_spread":0.26410074456307475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323568147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712986,0.000054686054,0.0017328913,0.000026471647,9.2451796e-7,0.000010205535,0.00030525494,0.000051050596,0.00068869465],"genre_scores_gemma":[0.997997,0.00004974805,0.0014902754,0.0000037656964,4.4761094e-7,0.000005113143,0.00027414085,0.0000048058414,0.00017462583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975353,0.000022788656,0.000013919324,0.00004788404,0.00010512656,0.00005673814],"domain_scores_gemma":[0.9995041,0.00010106109,0.00010522991,0.00004852498,0.00018311477,0.000057989575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071728806,0.00032751684,0.00017631592,0.0010212541,0.00049795455,0.0008107646,0.0007756227,0.0004063751,0.00031819154],"category_scores_gemma":[0.0015841835,0.00030515683,0.00027610525,0.0010600055,0.0006663983,0.0005932692,0.0004679731,0.00023261696,0.00006126719],"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":[0.0001064077,0.00006599812,0.44963232,0.00003837303,0.000056876044,0.00021632721,0.00019918299,0.52576774,0.0050515975,0.00076985214,0.0002652073,0.017830154],"study_design_scores_gemma":[0.000020110272,0.00006354596,0.33993375,0.000022558786,0.000043863587,0.00006584667,0.00056352536,0.6504033,0.0069573084,0.00066557975,0.0012092735,0.000051336043],"about_ca_topic_score_codex":0.711392,"about_ca_topic_score_gemma":0.82801527,"teacher_disagreement_score":0.288608,"about_ca_system_score_codex":0.0084786825,"about_ca_system_score_gemma":0.0046932152,"threshold_uncertainty_score":0.58061534},"labels":[],"label_agreement":null},{"id":"W4323846666","doi":"10.3390/en16062614","title":"Agent-Based Simulation and Micro Supply Chain of the Food–Energy–Water Nexus for Collaborating Urban Farms and the Incorporation of a Community Microgrid Based on Renewable Energy","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":16,"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":"Nexus (standard); Supply chain; Business; Renewable energy; Sustainability; Food waste; Agriculture; Food processing; Food energy; Food systems; Environmental economics; Agricultural economics; Food security; Waste management; Economics; Engineering; Geography","score_opus":0.017701538444371796,"score_gpt":0.21794969150290663,"score_spread":0.20024815305853483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323846666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34861305,0.0004458708,0.61793184,0.000834114,0.00015342106,0.00032576086,0.0005602444,0.0006085721,0.03052716],"genre_scores_gemma":[0.9421871,0.00025876026,0.05013191,0.000037827165,0.000013604177,0.000304756,0.0002091673,0.000029674211,0.006827337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998037,0.0000779361,0.000010335943,0.000032164648,0.000034221983,0.000041577212],"domain_scores_gemma":[0.9995913,0.0002018421,0.00006131578,0.000022382605,0.00006803799,0.00005509926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041600308,0.0005996576,0.00061958027,0.00039984784,0.00083781214,0.0013032288,0.0010126439,0.0011479285,0.0029090925],"category_scores_gemma":[0.00084287603,0.00040174345,0.00067461305,0.0006457446,0.000642259,0.00071301823,0.0010708363,0.00083128305,0.00019101796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015970016,0.000015707512,0.0004538209,0.000014721293,0.0000076242873,0.000058625792,0.000027971935,0.99479455,0.00025135206,0.0032105525,0.00010264724,0.0010464248],"study_design_scores_gemma":[0.0000057068846,0.000009452295,0.00006842664,0.0000020946438,0.0000033805047,0.000003995184,0.000018692517,0.99891067,0.000078514924,0.0005603108,0.00033644764,0.0000023483813],"about_ca_topic_score_codex":0.047964767,"about_ca_topic_score_gemma":0.040905967,"teacher_disagreement_score":0.047964767,"about_ca_system_score_codex":0.0011747681,"about_ca_system_score_gemma":0.0021778916,"threshold_uncertainty_score":0.09537113},"labels":[],"label_agreement":null},{"id":"W4323851508","doi":"10.3390/en16062589","title":"A Review of Carbon Capture and Valorization Technologies","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Fossil fuel; Greenhouse gas; Environmental science; Combustion; Waste management; Carbon capture and storage (timeline); Greenhouse gas removal; Carbon dioxide; Global warming; Bio-energy with carbon capture and storage; Carbon sequestration; Climate change mitigation; Climate change; Natural resource economics; Environmental engineering; Engineering; Chemistry; Ecology","score_opus":0.03244727650600944,"score_gpt":0.2974231765703348,"score_spread":0.26497590006432536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323851508","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":[0.000633455,0.9896548,0.0007739534,0.00031015743,0.0004893493,0.000020881718,0.00016624884,0.00002929523,0.007921893],"genre_scores_gemma":[0.0026173121,0.9930816,0.0008212511,0.00022781732,0.00031830865,0.000021706173,0.00021757605,0.000009799128,0.0026846349],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995016,0.000049944072,0.000069109294,0.00010569028,0.00021999508,0.000053723186],"domain_scores_gemma":[0.99970764,0.000118756696,0.00005184396,0.000014560695,0.00008943442,0.000017746297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047641978,0.0012198474,0.0013348713,0.0031554953,0.0005502011,0.001687888,0.0011644452,0.0012101929,0.009550352],"category_scores_gemma":[0.0006475979,0.00046947185,0.0011661579,0.0045769894,0.00037513147,0.002575428,0.0006875166,0.0012685723,0.0044908933],"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":[0.00013126395,0.00015418515,0.00048570888,0.061678518,0.00014496101,0.00064811256,0.00013902475,0.001416277,0.012000523,0.014616472,0.050696604,0.85788834],"study_design_scores_gemma":[0.0000053119,0.00008818585,0.0004617146,0.0021539086,0.00006927948,0.0007485678,0.00004132695,0.00016668331,0.0020081203,0.0013558005,0.99288094,0.000020171827],"about_ca_topic_score_codex":0.00149414,"about_ca_topic_score_gemma":0.0015770152,"teacher_disagreement_score":0.009550352,"about_ca_system_score_codex":0.0006382585,"about_ca_system_score_gemma":0.0012712714,"threshold_uncertainty_score":0.031949162},"labels":[],"label_agreement":null},{"id":"W4324056936","doi":"10.3390/en16062670","title":"An Analysis of Industrial Policy Mechanisms to Support Commercial Deployment of Bitumen Partial Upgrading in Alberta","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Calgary","funders":"Alberta Innovates","keywords":"Business; Revenue; Incentive; Investment (military); Capital cost; Finance; Public policy; Environmental economics; Economics; Economic growth","score_opus":0.03864546266682174,"score_gpt":0.33826195252013863,"score_spread":0.2996164898533169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324056936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96336967,0.0006180933,0.0038300536,0.0016926593,0.000043304688,0.00069224887,0.0016516539,0.00014487634,0.027957484],"genre_scores_gemma":[0.99294657,0.00035058823,0.0014302738,0.0001503934,0.000010810279,0.000101918995,0.00043194482,0.00000867842,0.0045689587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.99555933,0.00092524453,0.00010045718,0.0003003543,0.00075541897,0.0023592892],"domain_scores_gemma":[0.9919537,0.004340845,0.0008941138,0.0002679452,0.001666008,0.0008773788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004004956,0.0008098751,0.00088590576,0.001238851,0.0017374951,0.0033128823,0.003316334,0.0019042367,0.005882284],"category_scores_gemma":[0.009538681,0.00074836594,0.0011282939,0.0015258213,0.0015813629,0.0011361749,0.0016002198,0.0018865194,0.00022201317],"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":false,"study_design_scores_codex":[0.0018554133,0.0013671204,0.056814153,0.00044445,0.0004158214,0.00085241994,0.0003018236,0.84100205,0.005984471,0.058725223,0.0040725754,0.028164519],"study_design_scores_gemma":[0.001341456,0.00276802,0.16594139,0.00020074409,0.0013891784,0.00011608875,0.005645926,0.77446777,0.007490022,0.015802545,0.024583438,0.0002534197],"about_ca_topic_score_codex":0.84745854,"about_ca_topic_score_gemma":0.84822625,"teacher_disagreement_score":0.928513,"about_ca_system_score_codex":0.071487024,"about_ca_system_score_gemma":0.056156844,"threshold_uncertainty_score":0.5186771},"labels":[],"label_agreement":null},{"id":"W4324095492","doi":"10.3390/en16062631","title":"Optimizing Renewable Injection in Integrated Natural Gas Pipeline Networks Using a Multi-Period Programming Approach","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Process Optimization and Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Natural gas; Renewable energy; Methane; Pipeline (software); Power to gas; Pipeline transport; Renewable natural gas; Environmental science; Computer science; Process engineering; Mathematical optimization; Environmental engineering; Chemistry; Waste management; Engineering; Electrolysis; Mathematics; Fuel gas; Electrical engineering","score_opus":0.01845882114681382,"score_gpt":0.24053775511521786,"score_spread":0.22207893396840403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324095492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060914744,0.00085524225,0.9248442,0.0005633295,0.00009129341,0.00014311375,0.00024069453,0.00022990855,0.012117561],"genre_scores_gemma":[0.85648763,0.00082425977,0.13182467,0.00021967245,0.00005669497,0.00041348103,0.0002632663,0.0001238058,0.009786485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994955,0.00023399884,0.000013208036,0.00008518195,0.00007917592,0.00009278876],"domain_scores_gemma":[0.9992681,0.00050194334,0.00008745402,0.000015840265,0.000081294624,0.000045410594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011190382,0.0013190183,0.001172613,0.00053537264,0.000389156,0.0015300717,0.0011576357,0.0012846685,0.002658885],"category_scores_gemma":[0.0018036315,0.0010409247,0.0011435513,0.00067317736,0.00057724246,0.0011617705,0.0007016978,0.00114506,0.00019417817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001154826,0.000011941051,0.00008187011,0.000017866978,0.000012500396,0.000020051291,0.0000056123713,0.997163,0.00013784067,0.0012811446,0.00008921587,0.001167364],"study_design_scores_gemma":[0.0000048891807,0.000013532277,0.000034537727,0.0000031330821,0.000005446987,0.0000032599912,0.000006271764,0.99889743,0.000073529416,0.0007883039,0.00016752552,0.0000020605182],"about_ca_topic_score_codex":0.010482244,"about_ca_topic_score_gemma":0.010365529,"teacher_disagreement_score":0.010482244,"about_ca_system_score_codex":0.0016236787,"about_ca_system_score_gemma":0.002047961,"threshold_uncertainty_score":0.020842493},"labels":[],"label_agreement":null},{"id":"W4327967145","doi":"10.3390/en16062823","title":"Parallel Communication Optimization Based on Graph Partition for Hexagonal Neutron Transport Simulation Using MOC Method","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":2,"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":"Hexagonal crystal system; Parallel computing; Computation; Computer science; Node (physics); Neutron transport; Graph partition; Graph; Grid; Partition (number theory); Domain decomposition methods; Computational science; Topology (electrical circuits); Neutron; Algorithm; Theoretical computer science; Mathematics; Physics; Combinatorics; Chemistry; Geometry","score_opus":0.05202233499341002,"score_gpt":0.3320786056780519,"score_spread":0.2800562706846419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327967145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22450405,0.00039811427,0.75150555,0.00042107177,0.00011577669,0.0001662104,0.000399093,0.001396642,0.021093462],"genre_scores_gemma":[0.7612624,0.00021562175,0.23420963,0.00010090002,0.000023760536,0.00039646582,0.00039804948,0.00056111225,0.002832013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998349,0.000053368574,0.0000045609113,0.00002097805,0.00004965852,0.000036460035],"domain_scores_gemma":[0.9997423,0.00012367392,0.000022633649,0.00002799826,0.00006321238,0.000020233969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002615454,0.00045697097,0.00058197684,0.0004965762,0.00081916363,0.00038961275,0.00078645913,0.0005166801,0.0023635353],"category_scores_gemma":[0.00080883165,0.00026457413,0.00045159852,0.00058993173,0.00041356342,0.0005180708,0.00056382525,0.00041291892,0.00023610497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004640785,0.000029210396,0.0006228037,0.00005053177,0.0000147987885,0.000056415556,0.000048042366,0.9759326,0.002772332,0.011545452,0.000935244,0.007946125],"study_design_scores_gemma":[0.0000065345616,0.000005148993,0.00004968353,0.000001095291,0.000001494063,0.0000034834645,0.000007095432,0.99843603,0.00036952365,0.0008070392,0.00031116212,0.0000017990278],"about_ca_topic_score_codex":0.0111774355,"about_ca_topic_score_gemma":0.008961551,"teacher_disagreement_score":0.0111774355,"about_ca_system_score_codex":0.00068453007,"about_ca_system_score_gemma":0.0012629204,"threshold_uncertainty_score":0.022224724},"labels":[],"label_agreement":null},{"id":"W4328121256","doi":"10.3390/en16062885","title":"Oscillating-Foil Turbine Performance Improvement by the Addition of Double Gurney Flaps and Kinematics Optimization","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Trailing edge; Turbine; Airfoil; FOIL method; Reynolds-averaged Navier–Stokes equations; Kinematics; Leading edge; Mechanics; Marine engineering; Engineering; Mechanical engineering; Computational fluid dynamics; Materials science; Physics","score_opus":0.009181829800616654,"score_gpt":0.19870741043972545,"score_spread":0.1895255806391088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328121256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92717713,0.00015267855,0.06667595,0.000033912733,0.00004765789,0.00003962736,0.00006979742,0.00035329725,0.005450049],"genre_scores_gemma":[0.9811794,0.000048503338,0.017987816,0.000007838306,0.000003533237,0.000017712511,0.000078827026,0.000029618013,0.000646829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989533,0.000013123652,0.000008825376,0.000021788821,0.000034453642,0.000026416623],"domain_scores_gemma":[0.99980193,0.000049552338,0.000043374956,0.000044545097,0.000044116205,0.000016483998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023769667,0.0007655614,0.00039411924,0.0002677709,0.00013691462,0.00035015872,0.00036791226,0.0002862178,0.0014292554],"category_scores_gemma":[0.00050681294,0.00019523302,0.00032346023,0.00014865282,0.00021544904,0.00040670278,0.00046880843,0.00024936802,0.0003212742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054185244,0.00018680327,0.0047940547,0.00026082675,0.000049611077,0.0007133861,0.000053941338,0.6437601,0.2802519,0.0019817264,0.00047038225,0.066935405],"study_design_scores_gemma":[0.00008498125,0.0017815382,0.008077977,0.000036621124,0.00006743252,0.00042633503,0.00006835785,0.8872272,0.09797834,0.0006877484,0.003515874,0.000047528076],"about_ca_topic_score_codex":0.00028516646,"about_ca_topic_score_gemma":0.0004054762,"teacher_disagreement_score":0.0014292554,"about_ca_system_score_codex":0.00012497876,"about_ca_system_score_gemma":0.00023493257,"threshold_uncertainty_score":0.0047813654},"labels":[],"label_agreement":null},{"id":"W4353072056","doi":"10.3390/en16062900","title":"Optimized Hierarchical Tree Deep Convolutional Neural Network of a Tree-Based Workload Prediction Scheme for Enhancing Power Efficiency in Cloud Computing","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":23,"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":"Computer science; Workload; Cloud computing; Benchmark (surveying); Scalability; Convolutional neural network; Data mining; Artificial neural network; Redundancy (engineering); Data redundancy; Tree (set theory); Artificial intelligence; Database; Operating system","score_opus":0.013984499624835126,"score_gpt":0.24265686934504674,"score_spread":0.2286723697202116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353072056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30191213,0.0012234885,0.6837094,0.0005089785,0.00020339986,0.000094811345,0.0005517304,0.0027567402,0.009039343],"genre_scores_gemma":[0.95100987,0.00026589338,0.04360856,0.00011994359,0.000020273746,0.0000572021,0.00051169674,0.000044443506,0.004362099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990284,0.000008610444,0.000005592422,0.000030358722,0.000023258312,0.000029359737],"domain_scores_gemma":[0.9998753,0.000029905508,0.000014399883,0.000010669321,0.00005981931,0.000009892006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023158967,0.00056929927,0.0003168514,0.00031500327,0.00024424656,0.00036517793,0.0007232319,0.00034408213,0.0012043312],"category_scores_gemma":[0.0005302944,0.00020642267,0.00036311362,0.00031654767,0.00016644204,0.0006115384,0.00027949404,0.00052618084,0.00029064398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014541476,0.00015453786,0.0048617045,0.000060616447,0.00006807436,0.000083398896,0.000045184337,0.78192115,0.011665376,0.0021059755,0.003934088,0.19495443],"study_design_scores_gemma":[0.0000014662032,0.00001418199,0.000274797,0.0000021745757,0.0000055057894,0.0000050772137,0.0000025357383,0.99838614,0.000951881,0.00022325333,0.00013117693,0.0000017261092],"about_ca_topic_score_codex":0.025265284,"about_ca_topic_score_gemma":0.044179026,"teacher_disagreement_score":0.025265284,"about_ca_system_score_codex":0.00084689085,"about_ca_system_score_gemma":0.0008861105,"threshold_uncertainty_score":0.050236404},"labels":[],"label_agreement":null},{"id":"W4353090565","doi":"10.3390/en16062910","title":"Preferential Concentration of Particles in Forced Turbulent Flows: Effects of Gravity","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stokes number; Turbulence; Range (aeronautics); Physics; Mechanics; Particle (ecology); Stokes' law; Particle number; Probability density function; Number density; Vorticity; Classical mechanics; Reynolds number; Stokes flow; Vortex; Mathematics; Geology; Materials science; Thermodynamics; Flow (mathematics); Statistics","score_opus":0.007652672118803011,"score_gpt":0.21659641072521507,"score_spread":0.20894373860641205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353090565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963924,0.00008186989,0.0023705286,0.00005200564,0.000012870409,0.000010855192,0.00007794295,0.000042679487,0.00095882255],"genre_scores_gemma":[0.99910957,0.000037473965,0.00068447774,0.0000066997018,0.00000260134,0.000005181045,0.000036585494,0.000007277751,0.000110229106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987686,0.000018852528,0.000008811943,0.000021019745,0.000022690881,0.00005173034],"domain_scores_gemma":[0.9995493,0.00018303524,0.00009031982,0.000031526506,0.00006877017,0.00007706964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024444362,0.00044564367,0.00040441303,0.0005785468,0.00060677796,0.0006755624,0.000359779,0.00044501325,0.0005483062],"category_scores_gemma":[0.0010935048,0.00022705852,0.00046177884,0.0004408224,0.000909776,0.0005723889,0.00068142207,0.00035293942,0.000056732893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004430401,0.00021470254,0.021206647,0.00010390013,0.00006316188,0.00054042554,0.00019248217,0.927662,0.038846433,0.00515138,0.00048854493,0.0050872997],"study_design_scores_gemma":[0.000029325669,0.000060355585,0.006207605,0.0000070684023,0.000008535616,0.000029879835,0.0000379838,0.9887095,0.0043145856,0.000473921,0.000108036984,0.000013134526],"about_ca_topic_score_codex":0.011658619,"about_ca_topic_score_gemma":0.0057854503,"teacher_disagreement_score":0.011658619,"about_ca_system_score_codex":0.0006532494,"about_ca_system_score_gemma":0.00063144416,"threshold_uncertainty_score":0.023181498},"labels":[],"label_agreement":null},{"id":"W4360619106","doi":"10.3390/en16072936","title":"Influence of Spacers and Skid Sizes on Heat Treatment of Large Forgings within an Industrial Electric Furnace","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de Sorel-Tracy; École de Technologie Supérieure","funders":"Mitacs","keywords":"Skid (aerodynamics); Stacking; Computational fluid dynamics; Materials science; Forging; Mechanics; Work (physics); Composite material; Mechanical engineering; Metallurgy; Engineering; Chemistry","score_opus":0.014175243620449805,"score_gpt":0.23433524612557244,"score_spread":0.22016000250512263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360619106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983342,0.000055290413,0.0013575278,0.0000066924536,0.0000033748506,0.0000035118205,0.000029160574,0.000029071467,0.00018117951],"genre_scores_gemma":[0.9992042,0.000025443847,0.0006896619,0.000001485029,6.6756945e-7,0.000001970722,0.000015736221,0.000005843619,0.000054885433],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998124,0.000027494601,0.000024086583,0.00004992436,0.000047365716,0.00003874307],"domain_scores_gemma":[0.9993686,0.0003458816,0.00011484245,0.00006834548,0.00007087792,0.000031475025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028939033,0.00033422568,0.0003985505,0.00022310537,0.0002542868,0.00042920807,0.00022941439,0.00024131237,0.00043515407],"category_scores_gemma":[0.0010038237,0.00024327716,0.00020293143,0.00023674288,0.00034715148,0.0003018809,0.0002456206,0.00018887866,0.00009396938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014060364,0.000091667425,0.01636355,0.00023960644,0.000030297197,0.00030602337,0.00036197368,0.09413968,0.8667476,0.00022242738,0.00010431983,0.019986756],"study_design_scores_gemma":[0.00004509821,0.0013837058,0.036657345,0.000019184861,0.0000670087,0.00017537629,0.00023889443,0.069623664,0.89106566,0.00012506188,0.00055930146,0.000039698763],"about_ca_topic_score_codex":0.0012841234,"about_ca_topic_score_gemma":0.002573852,"teacher_disagreement_score":0.0012841234,"about_ca_system_score_codex":0.00037967018,"about_ca_system_score_gemma":0.00032206692,"threshold_uncertainty_score":0.0027546883},"labels":[],"label_agreement":null},{"id":"W4360859116","doi":"10.3390/en16072965","title":"Energy Transition and the Economy: A Review Article","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Energy transition; Renewable energy; Energy security; Fossil fuel; Sustainability; Environmental impact of the energy industry; Business; Economics; Natural resource economics; Energy policy; Engineering","score_opus":0.04641586318406547,"score_gpt":0.2582908610355465,"score_spread":0.211874997851481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360859116","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":[0.00019270257,0.9972921,0.00005265297,0.00069905893,0.00039175243,0.000002394707,0.000010726735,0.0000020455977,0.0013565453],"genre_scores_gemma":[0.0016596298,0.997212,0.00004891595,0.00025513628,0.00048766274,0.0000025792667,0.000011379423,9.491461e-7,0.00032174922],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997681,0.00004687404,0.0000290169,0.00005191612,0.00007404667,0.000030149216],"domain_scores_gemma":[0.9992648,0.0004683841,0.000103225575,0.000009326823,0.000112866466,0.00004142032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039452765,0.0006889451,0.0009150709,0.002322811,0.0005050643,0.0027508826,0.00056187034,0.0018045892,0.0058228187],"category_scores_gemma":[0.0011051544,0.00022219379,0.000508026,0.005259358,0.0006975769,0.0026377875,0.00074934145,0.0013840543,0.0010406531],"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":[0.000101398844,0.0001720312,0.0010539254,0.07846164,0.0002719818,0.0012412142,0.0010038018,0.0010893823,0.0010286849,0.037611317,0.11790769,0.7600569],"study_design_scores_gemma":[0.000007287626,0.000055548586,0.0019059133,0.026785338,0.00020253361,0.001714057,0.0007918644,0.00013511219,0.00018034286,0.006830241,0.96136385,0.000027985603],"about_ca_topic_score_codex":0.0023041165,"about_ca_topic_score_gemma":0.003251941,"teacher_disagreement_score":0.0058228187,"about_ca_system_score_codex":0.00090515194,"about_ca_system_score_gemma":0.00253852,"threshold_uncertainty_score":0.019479215},"labels":[],"label_agreement":null},{"id":"W4362449304","doi":"10.3390/en16073171","title":"Green Jobs in the Energy Sector","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Szkola Glówna Gospodarstwa Wiejskiego w Warszawie; Uniwersytet Łódzki","keywords":"Renewable energy; Scopus; Energy sector; Subject (documents); Data science; Energy transition; Sustainable development; Knowledge management; Business; Computer science; Environmental economics; Engineering; Political science; Economics; World Wide Web","score_opus":0.016560862396476254,"score_gpt":0.20903298438249038,"score_spread":0.19247212198601413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362449304","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":[0.3652966,0.16978385,0.006558252,0.021113953,0.0017382156,0.00017808679,0.0019717845,0.000098579774,0.4332606],"genre_scores_gemma":[0.9086841,0.07435616,0.0026326647,0.0010321955,0.0004230202,0.00008033589,0.00062044885,0.000036465834,0.0121347625],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99765116,0.00085609977,0.00017118648,0.00013396417,0.0008813871,0.00030627847],"domain_scores_gemma":[0.9956403,0.0028971408,0.00060254964,0.00012151602,0.00056273874,0.00017576832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018560207,0.00022110775,0.00030922887,0.011275356,0.001902656,0.0060577374,0.00028249962,0.0007338879,0.0058548297],"category_scores_gemma":[0.0053576343,0.00010391147,0.0003173003,0.022618467,0.0019518732,0.0050624283,0.0022500555,0.00043793936,0.0005578936],"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":[0.00016667513,0.00012327064,0.034867525,0.01121387,0.00010192145,0.00147238,0.037064306,0.002337008,0.001961833,0.42832378,0.024470756,0.45789665],"study_design_scores_gemma":[0.000013531182,0.00011144069,0.05772745,0.012414108,0.000089129935,0.0011488011,0.15237206,0.0011545029,0.0022696508,0.12308198,0.64953405,0.00008330546],"about_ca_topic_score_codex":0.0035152861,"about_ca_topic_score_gemma":0.0051474413,"teacher_disagreement_score":0.011275356,"about_ca_system_score_codex":0.0028715027,"about_ca_system_score_gemma":0.004321478,"threshold_uncertainty_score":0.020834267},"labels":[],"label_agreement":null},{"id":"W4362469332","doi":"10.3390/en16073175","title":"Thermal Performance Analysis of Micro Pin Fin Heat Sinks under Different Flow Conditions","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Universidade Estadual Paulista; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Subcooling; Mechanics; Heat transfer; Fin; Materials science; Pressure drop; Heat flux; Heat sink; Thermodynamics; Nucleate boiling; Annular fin; Boiling; Superheating; Heat transfer coefficient; Composite material; Physics","score_opus":0.010740679242283798,"score_gpt":0.2128399263071417,"score_spread":0.2020992470648579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362469332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480754,0.00031637802,0.0038174617,0.000022162589,0.000024294737,0.000012372687,0.00012958929,0.0001527777,0.0007174409],"genre_scores_gemma":[0.99657685,0.00015053326,0.002320259,0.000008681554,0.0000050895615,0.000018391791,0.000087266075,0.000023871442,0.00080902316],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999006,0.000008394944,0.0000049849473,0.000028665936,0.000035666522,0.000021674346],"domain_scores_gemma":[0.99982893,0.000054304717,0.000029882338,0.000016974836,0.000059112834,0.000010721661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021477118,0.00032609177,0.00023982677,0.0002393977,0.00015491825,0.00020460677,0.00022958923,0.00018887487,0.0012202192],"category_scores_gemma":[0.00038218204,0.00014176927,0.00019554843,0.00016718757,0.00016003441,0.00032244512,0.00016899193,0.00012440211,0.00020832558],"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":[0.00022571483,0.000028563236,0.0013148144,0.00016548317,0.000010701257,0.00005892696,0.00006282375,0.0052841464,0.9849531,0.00012340581,0.00012876649,0.0076435907],"study_design_scores_gemma":[0.00001225694,0.0008043712,0.006315241,0.000008150708,0.000022140692,0.00006508709,0.000051630177,0.024000661,0.9677652,0.00005077285,0.0008892326,0.000015307185],"about_ca_topic_score_codex":0.00043010214,"about_ca_topic_score_gemma":0.0005513542,"teacher_disagreement_score":0.0012202192,"about_ca_system_score_codex":0.00016413035,"about_ca_system_score_gemma":0.00014430554,"threshold_uncertainty_score":0.0040820837},"labels":[],"label_agreement":null},{"id":"W4362473310","doi":"10.3390/en16073133","title":"Assessing the Limits of Equivalent Circuit Models and Kalman Filters for Estimating the State of Charge: Case of Agricultural Robots","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Battery (electricity); State of charge; Robot; Thévenin's theorem; Extended Kalman filter; Computer science; Kalman filter; Lithium iron phosphate; Equivalent circuit; Engineering; Simulation; Automotive engineering; Electrical engineering; Voltage; Artificial intelligence","score_opus":0.08878424573560582,"score_gpt":0.3389121377716034,"score_spread":0.25012789203599756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362473310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33554423,0.0020941137,0.65311855,0.00047889803,0.00007305726,0.00009910491,0.0002464319,0.0012412658,0.007104488],"genre_scores_gemma":[0.97818863,0.00040896228,0.020229321,0.000040814386,0.000011568444,0.0000694541,0.00011205278,0.00004090463,0.0008982412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988483,0.00033232095,0.0000861972,0.00022323104,0.0003740931,0.00013580565],"domain_scores_gemma":[0.9945285,0.0037598864,0.0004084049,0.0004887937,0.000766378,0.000048038793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135961,0.0010224881,0.0008837129,0.00085671747,0.0004281468,0.0012134562,0.00090129045,0.0017831136,0.0008388998],"category_scores_gemma":[0.012775914,0.00042381344,0.00058779755,0.00043343374,0.00072559254,0.0022340075,0.0008508806,0.00088982855,0.0002972905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050726184,0.00008380111,0.0073783146,0.00045456828,0.00012505529,0.0004646179,0.0003109297,0.90031534,0.0080605475,0.0037722732,0.00059134606,0.077935904],"study_design_scores_gemma":[0.000013124762,0.00013159009,0.0022496865,0.000050940438,0.00003791248,0.00012887188,0.00011009075,0.98885965,0.0057407967,0.0016931127,0.00095843273,0.000025833484],"about_ca_topic_score_codex":0.016983207,"about_ca_topic_score_gemma":0.008699641,"teacher_disagreement_score":0.016983207,"about_ca_system_score_codex":0.0006998406,"about_ca_system_score_gemma":0.0006909552,"threshold_uncertainty_score":0.033768713},"labels":[],"label_agreement":null},{"id":"W4362475535","doi":"10.3390/en16073156","title":"Operational Wind Turbine Blade Damage Evaluation Based on 10-min SCADA and 1 Hz Data","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"SCADA; Wind speed; Turbine; Wind power; Computation; Computer science; Marine engineering; Reliability engineering; Environmental science; Simulation; Engineering; Meteorology; Aerospace engineering","score_opus":0.06317694841090567,"score_gpt":0.3337628512722492,"score_spread":0.27058590286134354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362475535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75136006,0.00040750127,0.24229178,0.000058155245,0.00006354635,0.00013656249,0.0011479702,0.00088770554,0.0036467877],"genre_scores_gemma":[0.97853273,0.00010820661,0.020209733,0.000012716333,0.000016008798,0.000046357643,0.000551864,0.000019592684,0.0005027391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994029,0.00011434869,0.00006211199,0.00012900193,0.00024266259,0.000049013976],"domain_scores_gemma":[0.9986721,0.00040495404,0.00042859276,0.00017053983,0.00026991544,0.000053903605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059574336,0.0006264929,0.00044581827,0.0013062635,0.00019087394,0.0005321895,0.00037099936,0.00040037266,0.0010284666],"category_scores_gemma":[0.00246168,0.000179161,0.0002565195,0.00076609233,0.0001896966,0.00067070354,0.00035900588,0.00027736218,0.00032709062],"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":[0.0011330509,0.0004204222,0.16901365,0.00071140536,0.00029636687,0.00091769296,0.00047569076,0.43367094,0.08539866,0.002764218,0.0018378741,0.30336004],"study_design_scores_gemma":[0.000016631993,0.0006550189,0.16418137,0.000056242236,0.00005796699,0.00046872845,0.0001891551,0.81354916,0.017484162,0.0008483473,0.0024410428,0.000052196396],"about_ca_topic_score_codex":0.0027416784,"about_ca_topic_score_gemma":0.0047198026,"teacher_disagreement_score":0.0027416784,"about_ca_system_score_codex":0.00035884095,"about_ca_system_score_gemma":0.00028193352,"threshold_uncertainty_score":0.0054515004},"labels":[],"label_agreement":null},{"id":"W4362577265","doi":"10.3390/en16073196","title":"A Comprehensive Control Strategy for a Push–Pull Microinverter Connected to the Grid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":11,"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":"Agencia Nacional de Investigación y Desarrollo; Global Affairs Canada; Lakehead University","keywords":"Solar micro-inverter; Photovoltaic system; Maximum power point tracking; Inverter; Grid; Topology (electrical circuits); Power (physics); Maximum power principle; Engineering; Grid-connected photovoltaic power system; Power optimizer; Control theory (sociology); Computer science; Voltage; Electronic engineering; Electrical engineering; Control (management); Mathematics","score_opus":0.03397643123868949,"score_gpt":0.27841627420913845,"score_spread":0.24443984297044896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362577265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09412906,0.00020607033,0.8948314,0.0001393241,0.000084223866,0.00017909012,0.00004130697,0.0014649949,0.008924518],"genre_scores_gemma":[0.94821286,0.0000778444,0.04869324,0.00004670764,0.000029379804,0.00010282998,0.00002668648,0.000021976755,0.0027884701],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998752,0.000012850867,0.0000080938635,0.00004213187,0.000051414598,0.0000102917975],"domain_scores_gemma":[0.9999256,0.00001299455,0.000017678336,0.000013936465,0.000024225348,0.000005561165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103145394,0.00041273533,0.00026318713,0.00017325381,0.00025161752,0.00042225042,0.0006892206,0.0002598384,0.0020301784],"category_scores_gemma":[0.00013830063,0.00014349761,0.00023209234,0.00011370298,0.00017172031,0.0003086004,0.0002553261,0.00031179012,0.00036483587],"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":[0.00030852808,0.0002236997,0.0011575415,0.00037650936,0.00008957469,0.0006089464,0.00022079998,0.0615249,0.6231331,0.0067749363,0.0013871006,0.30419442],"study_design_scores_gemma":[0.000118614065,0.0022243587,0.0033781996,0.000054561195,0.00012438605,0.0013033849,0.00008830644,0.7256704,0.24830858,0.0035305184,0.015146604,0.000052082665],"about_ca_topic_score_codex":0.0003269098,"about_ca_topic_score_gemma":0.00056681223,"teacher_disagreement_score":0.0020301784,"about_ca_system_score_codex":0.000103932085,"about_ca_system_score_gemma":0.00013980235,"threshold_uncertainty_score":0.0067915916},"labels":[],"label_agreement":null},{"id":"W4362584232","doi":"10.3390/en16073194","title":"Double Dual High Step-Up Power Converter with Reduced Stored Energy","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Universidad Panamericana","keywords":"Inductor; Boost converter; Ćuk converter; Power (physics); Duty cycle; Voltage; Buck–boost converter; Electrical engineering; Electronic engineering; Dual (grammatical number); Forward converter; Buck converter; Engineering; Physics","score_opus":0.007203990525715858,"score_gpt":0.19452885655733412,"score_spread":0.18732486603161827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362584232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2507934,0.0014295116,0.6951424,0.00028206917,0.00029048382,0.0002472338,0.00026226038,0.0020063408,0.049546327],"genre_scores_gemma":[0.8938415,0.00049835356,0.08701775,0.0002101939,0.00007615246,0.00010317055,0.00024128333,0.00008358114,0.017927947],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979764,0.000015803214,0.000010892115,0.000036897974,0.00011721669,0.00002169447],"domain_scores_gemma":[0.9998914,0.00001670089,0.00000891643,0.000022239932,0.000048661095,0.000012087088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011908216,0.0002731557,0.0003707667,0.0004067111,0.00023733052,0.0007775312,0.0007145798,0.0002891184,0.004481959],"category_scores_gemma":[0.0001769055,0.00018323725,0.00021687486,0.00044739517,0.00014139368,0.0005904554,0.00044783382,0.00072367454,0.0012075434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043329288,0.00033728473,0.0011865835,0.00046254174,0.00004816032,0.0005035281,0.00010556717,0.0036789032,0.67984086,0.009591681,0.0028737525,0.30093798],"study_design_scores_gemma":[0.00020925589,0.0011429157,0.005442958,0.00009578971,0.00010286501,0.0052894955,0.00014821789,0.1361384,0.79351604,0.006845338,0.051002834,0.0000660046],"about_ca_topic_score_codex":0.000116803334,"about_ca_topic_score_gemma":0.00026037975,"teacher_disagreement_score":0.004481959,"about_ca_system_score_codex":0.0001326915,"about_ca_system_score_gemma":0.00019548261,"threshold_uncertainty_score":0.014993668},"labels":[],"label_agreement":null},{"id":"W4362585521","doi":"10.3390/en16073204","title":"Tidal Turbines","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Interreg","keywords":"Tidal power; Environmental science; Marine engineering; Meteorology; Engineering; Physics","score_opus":0.008525416258169856,"score_gpt":0.19614850426582406,"score_spread":0.1876230880076542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362585521","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":[0.004187936,0.004465613,0.07489178,0.0026188847,0.0028040342,0.00026166887,0.0067144725,0.004352489,0.8997032],"genre_scores_gemma":[0.08007378,0.0077484613,0.026677819,0.001572221,0.0007566994,0.00022097028,0.0111107975,0.0009087402,0.87093055],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947816,0.000033853958,0.000022550868,0.00006496263,0.00036127356,0.000039295366],"domain_scores_gemma":[0.999395,0.00004836289,0.000032337848,0.000103538965,0.00037146686,0.00004928263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032495623,0.0004375842,0.0003685148,0.0006762565,0.00084588514,0.0020568988,0.00072430517,0.0010308488,0.10851403],"category_scores_gemma":[0.0010416463,0.00025204034,0.00027473507,0.0012962179,0.0004234488,0.0016228349,0.001167484,0.00085663656,0.097097926],"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":[0.0001069917,0.00004523868,0.0011071039,0.0004896931,0.000018263949,0.00016709046,0.00017639932,0.0033081423,0.010910973,0.103222325,0.41586462,0.46458313],"study_design_scores_gemma":[0.000005709989,0.000021368287,0.00048262705,0.00005732472,0.00000414551,0.00011099183,0.000029705432,0.0006172258,0.0014051598,0.004455443,0.9928005,0.000009770332],"about_ca_topic_score_codex":0.0017322099,"about_ca_topic_score_gemma":0.0024314113,"teacher_disagreement_score":0.10851403,"about_ca_system_score_codex":0.00045096915,"about_ca_system_score_gemma":0.0008401165,"threshold_uncertainty_score":0.36301565},"labels":[],"label_agreement":null},{"id":"W4362611760","doi":"10.3390/en16073257","title":"Chemical Elements Content and Distributions within Different Tissue Types of White Spruce","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Forest ecology and management","field":"Environmental Science","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":"Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Bark (sound); Cambium; Chemical composition; Chemistry; Nitrogen; Botany; Horticulture; Biology; Xylem; Ecology; Organic chemistry","score_opus":0.013237650464737223,"score_gpt":0.22463542776355463,"score_spread":0.21139777729881742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362611760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938655,0.000100541554,0.000096662116,0.0000020080784,8.423352e-7,0.000004128699,0.00015961438,0.000003847126,0.00024575443],"genre_scores_gemma":[0.9979772,0.000084499225,0.0004316907,0.000016853264,0.0000016272388,0.000010488478,0.0005094728,0.0000057658062,0.00096230494],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998202,0.000008600918,0.000014766668,0.000089706904,0.000037171474,0.000029559244],"domain_scores_gemma":[0.9997483,0.000026641075,0.00006889718,0.000012233916,0.00008030965,0.000063592954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001630444,0.00023397291,0.00019496142,0.0008471555,0.00041291933,0.00045937422,0.00021354298,0.00022530161,0.00036852976],"category_scores_gemma":[0.00011942934,0.00019461282,0.00015934571,0.00035348762,0.00037491551,0.00022926174,0.00018888082,0.00020749358,0.00009439616],"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":[0.00060597685,0.00006354135,0.26526898,0.000070087066,0.00006811463,0.00013937679,0.0004849907,0.00016192757,0.7274231,0.0000620089,0.00003996134,0.005611973],"study_design_scores_gemma":[0.0000027859658,0.00013734515,0.9901861,0.0000026082523,0.000019515532,0.000069816,0.00022699563,0.00008633607,0.009074027,0.000013910314,0.00017699154,0.0000036250904],"about_ca_topic_score_codex":0.03697785,"about_ca_topic_score_gemma":0.12330434,"teacher_disagreement_score":0.03697785,"about_ca_system_score_codex":0.00055085466,"about_ca_system_score_gemma":0.00024588846,"threshold_uncertainty_score":0.07352525},"labels":[],"label_agreement":null},{"id":"W4362665745","doi":"10.3390/en16073292","title":"Financial, Economic, and Environmental Analyses of Upgrading Reverse Osmosis Plant Fed with Treated Wastewater","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Reverse osmosis; Wastewater; Reuse; Electricity; Environmental science; Pollution; Water scarcity; Environmental engineering; Sewage treatment; Business; Waste management; Water resources; Engineering","score_opus":0.020226693539212217,"score_gpt":0.23204118599893295,"score_spread":0.21181449245972073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362665745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564654,0.00011035314,0.00018701122,0.000075216136,0.000007013706,0.000023194165,0.00055656757,0.0000049647806,0.0033890996],"genre_scores_gemma":[0.9986314,0.0000929824,0.00014569683,0.0000056675403,0.0000038181065,0.000008116882,0.00031633634,0.000001241498,0.00079479406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994869,0.00011176525,0.000026406362,0.00004451675,0.00022164834,0.0001086438],"domain_scores_gemma":[0.99888164,0.00040553662,0.00022040802,0.000040256593,0.00035679637,0.000095401236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088982855,0.00042401973,0.00024507326,0.0019616857,0.00044839617,0.0010071113,0.00039558747,0.000515531,0.0017479272],"category_scores_gemma":[0.00135809,0.00013310717,0.0007735706,0.0014472696,0.00043038515,0.0009230953,0.0003990546,0.00044379494,0.0001680061],"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":[0.008629629,0.0024218736,0.36144337,0.00092702283,0.0004305019,0.00677639,0.00025166923,0.39383712,0.08370759,0.011330939,0.0039662383,0.12627771],"study_design_scores_gemma":[0.00008741315,0.0045442665,0.789777,0.000058359354,0.00035918193,0.00067951373,0.0015404646,0.13536876,0.059450924,0.0021791956,0.005839082,0.00011588614],"about_ca_topic_score_codex":0.007810255,"about_ca_topic_score_gemma":0.008889948,"teacher_disagreement_score":0.007810255,"about_ca_system_score_codex":0.0034018573,"about_ca_system_score_gemma":0.0009719835,"threshold_uncertainty_score":0.024682343},"labels":[],"label_agreement":null},{"id":"W4362665811","doi":"10.3390/en16073282","title":"Acoustic Noise Reduction in an 8/6 Switched Reluctance Machine Using Structural Design","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Switched reluctance motor; Torque ripple; Multiphysics; Stator; Rotor (electric); Noise (video); Noise reduction; Torque; Reluctance motor; Computer science; Automotive engineering; Engineering; Finite element method; Reduction (mathematics); Mechanical engineering; Induction motor; Direct torque control; Electrical engineering; Structural engineering; Physics; Artificial intelligence","score_opus":0.022836887243768766,"score_gpt":0.2460891630515092,"score_spread":0.22325227580774046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362665811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56229496,0.0006623055,0.4287514,0.00014026911,0.00006399807,0.000057279867,0.00003104535,0.00046072967,0.0075379936],"genre_scores_gemma":[0.9100957,0.00017501593,0.08748332,0.000019434645,0.0000144258065,0.000034446446,0.000034046534,0.000039966082,0.002103657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996822,0.00006682233,0.000014649256,0.000034649845,0.00018717028,0.000014505619],"domain_scores_gemma":[0.999723,0.00006023706,0.00011466952,0.00002566306,0.00006688498,0.000009515411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197125,0.0004174206,0.00029807296,0.00030798788,0.00015337026,0.00025359218,0.00048117226,0.00047532615,0.0010584288],"category_scores_gemma":[0.0004429131,0.00021410057,0.00029248864,0.00014424282,0.00030389597,0.00033839856,0.00021538619,0.0002264769,0.00035111362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038811105,0.0001081713,0.00092908303,0.00045754868,0.000030533178,0.00019510684,0.00016106766,0.06168194,0.87658966,0.0031581488,0.00025798797,0.05604268],"study_design_scores_gemma":[0.00010510088,0.0039857533,0.006283071,0.00009423842,0.0001516951,0.00075148005,0.00012855609,0.5327184,0.43677205,0.0020320208,0.01692447,0.00005313382],"about_ca_topic_score_codex":0.00011716108,"about_ca_topic_score_gemma":0.0002816211,"teacher_disagreement_score":0.0010584288,"about_ca_system_score_codex":0.0001420319,"about_ca_system_score_gemma":0.00016237819,"threshold_uncertainty_score":0.003540814},"labels":[],"label_agreement":null},{"id":"W4362699760","doi":"10.3390/en16073299","title":"Application of the Calcium Looping Process for Thermochemical Storage of Variable Energy","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Natural Resources Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada; University of Ottawa","keywords":"Calcium looping; Process engineering; Calcination; Work (physics); Energy storage; Sorbent; Process (computing); Materials science; Environmental science; Power (physics); Computer science; Chemistry; Mechanical engineering; Engineering; Thermodynamics; Adsorption","score_opus":0.012262615972984803,"score_gpt":0.2375052705314934,"score_spread":0.2252426545585086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362699760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95820254,0.0012975702,0.032330133,0.00014821607,0.000057686037,0.00008670798,0.00008146906,0.00021327325,0.0075825206],"genre_scores_gemma":[0.99145824,0.0003930887,0.007201622,0.000014096721,0.000005935108,0.000008090884,0.000025704436,0.000007149678,0.00088606426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993277,0.0000047802796,0.0000033057004,0.00001726611,0.00003103513,0.000010870558],"domain_scores_gemma":[0.9999559,0.000011746101,0.000011021295,0.000007507525,0.00000965846,0.000004171026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011312958,0.00015500557,0.00011897399,0.0001828702,0.00018374059,0.00033512927,0.0003193238,0.0002343317,0.0010169491],"category_scores_gemma":[0.00017107722,0.00006571802,0.0001487464,0.0002910599,0.00021570864,0.0003514346,0.00021865549,0.00026214434,0.00011707397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009133036,0.00004936498,0.00054963294,0.00017090052,0.0000063274006,0.00010004148,0.000037157177,0.0026503173,0.9678017,0.0017708307,0.00010677214,0.026665462],"study_design_scores_gemma":[0.000016956148,0.0002173782,0.0006716316,0.0000054692873,0.000010046415,0.00012136174,0.000017745602,0.013314066,0.98174036,0.0001590831,0.0037186702,0.0000071938307],"about_ca_topic_score_codex":0.00084569975,"about_ca_topic_score_gemma":0.001894274,"teacher_disagreement_score":0.0010169491,"about_ca_system_score_codex":0.00029272272,"about_ca_system_score_gemma":0.00024467727,"threshold_uncertainty_score":0.0034019947},"labels":[],"label_agreement":null},{"id":"W4363673960","doi":"10.3390/en16083327","title":"Recent Advances in High-Temperature Steam Electrolysis with Solid Oxide Electrolysers for Green Hydrogen Production","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":115,"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":"Royal Academy of Engineering","keywords":"High-temperature electrolysis; High-pressure electrolysis; Hydrogen production; Electrolysis; Polymer electrolyte membrane electrolysis; Hydrogen; Power to gas; Energy carrier; Waste management; Steam reforming; Hydrogen fuel; Renewable energy; Hydrogen economy; Electrolysis of water; Electrolytic process; Materials science; Alkaline water electrolysis; Chemistry; Electrolyte; Electrode; Engineering; Electrical engineering","score_opus":0.007704447888643572,"score_gpt":0.259035913904544,"score_spread":0.25133146601590045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363673960","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":[0.012125991,0.96279734,0.00949896,0.000851004,0.00046285096,0.000028820023,0.000095733296,0.00010782939,0.0140314195],"genre_scores_gemma":[0.05796764,0.9288535,0.007825572,0.0003712063,0.00041473183,0.000027867327,0.00015748847,0.000020904294,0.004361065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997509,0.000026886788,0.000025317173,0.00005856719,0.000112914684,0.000025497544],"domain_scores_gemma":[0.99963295,0.00013104358,0.000065073524,0.000014896777,0.00013365547,0.000022271619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006587091,0.000532239,0.0005149424,0.0009209193,0.00019017092,0.0007310968,0.0004876379,0.0005822029,0.0025715847],"category_scores_gemma":[0.0004756432,0.00035033686,0.00062497996,0.0013196755,0.00025679776,0.0014314498,0.0004601289,0.0007620909,0.001274912],"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":[0.00023692437,0.00022088413,0.0014184946,0.026928864,0.0002180517,0.0006376189,0.00026348978,0.0034426476,0.16294776,0.016942164,0.013855394,0.7728877],"study_design_scores_gemma":[0.00002266927,0.0008434857,0.0022385751,0.0010751355,0.00032574972,0.0016659922,0.00020270173,0.0039966865,0.13830201,0.005431086,0.8458203,0.00007556848],"about_ca_topic_score_codex":0.00041286327,"about_ca_topic_score_gemma":0.0008525691,"teacher_disagreement_score":0.0025715847,"about_ca_system_score_codex":0.00032503027,"about_ca_system_score_gemma":0.00052743295,"threshold_uncertainty_score":0.008602798},"labels":[],"label_agreement":null},{"id":"W4363675507","doi":"10.3390/en16083330","title":"A Novel Analysis of Energy Density Considerations and Its Impacts on the Cost of Electrical Energy Storage (EES) Plants","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Compressed air energy storage; Energy storage; Liquid air; Renewable energy; Process engineering; Thermal energy storage; Environmental science; Computer data storage; Production (economics); Engineering; Power (physics); Computer science; Electrical engineering; Chemistry; Physics; Thermodynamics","score_opus":0.014426928395100149,"score_gpt":0.22366545510946764,"score_spread":0.2092385267143675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363675507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.294517,0.0042447792,0.60291374,0.0010948061,0.0002807433,0.00017038175,0.00086158596,0.00024772767,0.095669284],"genre_scores_gemma":[0.95623064,0.0019532929,0.02750198,0.00007751075,0.0000572196,0.00010117274,0.00020069262,0.00011727672,0.013760103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982375,0.000026760326,0.000007085481,0.000023334851,0.00009307185,0.000026123427],"domain_scores_gemma":[0.99966013,0.00019209868,0.000031027732,0.000023176284,0.00008596052,0.000007635661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034806415,0.0006113167,0.00046157988,0.0007373706,0.00028131972,0.0008069505,0.0006681857,0.0005654678,0.0027443522],"category_scores_gemma":[0.001296865,0.0002423645,0.00082835264,0.00068595953,0.00041661598,0.0014328791,0.0005226202,0.0007149442,0.00030567282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070161965,0.00008146843,0.0018173958,0.00030026652,0.00003672028,0.0003891133,0.000063482425,0.8120828,0.012344197,0.12909052,0.0022567234,0.04146712],"study_design_scores_gemma":[0.000003981257,0.000039553208,0.0011785545,0.000023614377,0.000021231192,0.00009851907,0.000029105799,0.9841579,0.003852979,0.005966629,0.00461688,0.000010937139],"about_ca_topic_score_codex":0.004312353,"about_ca_topic_score_gemma":0.0045389854,"teacher_disagreement_score":0.004312353,"about_ca_system_score_codex":0.0009283627,"about_ca_system_score_gemma":0.0009457434,"threshold_uncertainty_score":0.009180784},"labels":[],"label_agreement":null},{"id":"W4363675548","doi":"10.3390/en16083335","title":"AI-Based Scheduling Models, Optimization, and Prediction for Hydropower Generation: Opportunities, Issues, and Future Directions","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Power System Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Royal Military College of Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Hydropower; Scheduling (production processes); Renewable energy; Hydroelectricity; Computer science; Electricity generation; Artificial intelligence; Industrial engineering; Operations research; Mathematical optimization; Machine learning; Engineering; Power (physics); Operations management","score_opus":0.025892077739821412,"score_gpt":0.22875843985067928,"score_spread":0.20286636211085787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363675548","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012387466,0.36471528,0.5508054,0.044683,0.0017580133,0.00008056539,0.000283598,0.0005131258,0.024773551],"genre_scores_gemma":[0.29216766,0.45865422,0.22826555,0.0030179122,0.0063478793,0.00021836626,0.0006330951,0.00018065257,0.010514482],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99954057,0.00020246765,0.00002604996,0.00006304244,0.0001360634,0.000031737058],"domain_scores_gemma":[0.9962606,0.002725321,0.00018114316,0.00014483812,0.0005470593,0.00014110163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025352668,0.00074194657,0.001106272,0.00092783314,0.00035169013,0.002280594,0.0018552048,0.0013888393,0.0028345748],"category_scores_gemma":[0.0035164389,0.00034951806,0.00069757923,0.0022717847,0.0011558078,0.003705024,0.00094281905,0.0026568878,0.00089763146],"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":[0.00007234569,0.00028227433,0.002499459,0.0018688279,0.0001542416,0.00010621803,0.00016162942,0.31632417,0.00058708386,0.27339604,0.023467194,0.3810806],"study_design_scores_gemma":[0.0000093728795,0.00006306764,0.00051620585,0.00040032508,0.000024610506,0.00004142582,0.00018995113,0.7455846,0.0002542764,0.2111567,0.04172165,0.000037894082],"about_ca_topic_score_codex":0.0063716164,"about_ca_topic_score_gemma":0.0054931385,"teacher_disagreement_score":0.0063716164,"about_ca_system_score_codex":0.0012626948,"about_ca_system_score_gemma":0.0017032883,"threshold_uncertainty_score":0.013407946},"labels":[],"label_agreement":null},{"id":"W4365453789","doi":"10.3390/en16083410","title":"Pore Structure Characteristics and Influencing Factors of Tight Reservoirs Controlled by Different Provenance Systems: A Case Study of the Chang 7 Members in Heshui and Xin’anbian of the Ordos Basin","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Xi'an Shiyou University","keywords":"Dissolution; Compaction; Geology; Diagenesis; Permeability (electromagnetism); Mineralogy; Tight oil; Materials science; Geotechnical engineering; Chemistry","score_opus":0.008642345226299555,"score_gpt":0.20541704212100997,"score_spread":0.19677469689471042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365453789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995797,0.000023181561,0.00010657978,0.000004586215,4.9370163e-7,0.000005755683,0.0000309451,0.0000023859977,0.0002463887],"genre_scores_gemma":[0.9995881,0.000025189054,0.00018364136,0.0000018098385,6.837933e-7,0.0000034895663,0.000032814176,0.0000015667448,0.0001626586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997845,0.000023780953,0.000016427655,0.00005180129,0.00006365727,0.000059834478],"domain_scores_gemma":[0.99976474,0.000058104357,0.00007018214,0.000015666188,0.00005570878,0.000035647772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024241098,0.00023573427,0.00035434123,0.0011871295,0.00097547454,0.00075122755,0.00035960894,0.00036691068,0.0005214277],"category_scores_gemma":[0.0004526568,0.00022392371,0.00021604972,0.0013929822,0.0010695435,0.0005583248,0.0006824697,0.00019413853,0.00004331644],"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":[0.0003337185,0.0001603345,0.92435116,0.00014115841,0.0000771819,0.0075643794,0.0057566385,0.004702004,0.038770456,0.0008102634,0.00012356119,0.017209234],"study_design_scores_gemma":[0.0000097776,0.00012683037,0.97957796,0.000016260474,0.000046371722,0.0006787366,0.007501979,0.0063137547,0.004548004,0.00018127877,0.000970811,0.000028120643],"about_ca_topic_score_codex":0.041504335,"about_ca_topic_score_gemma":0.099998645,"teacher_disagreement_score":0.041504335,"about_ca_system_score_codex":0.0011693632,"about_ca_system_score_gemma":0.00086692924,"threshold_uncertainty_score":0.08252549},"labels":[],"label_agreement":null},{"id":"W4365453883","doi":"10.3390/en16083412","title":"Critical Review on Community-Shared Solar—Advantages, Challenges, and Future Directions","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Maturity (psychological); Position (finance); Production (economics); Electricity; Environmental economics; Politics; Business; Political science; Industrial organization; Public relations; Environmental resource management; Economics; Engineering","score_opus":0.06024546050932211,"score_gpt":0.35138733722134413,"score_spread":0.291141876712022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365453883","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":[0.00025554743,0.98649174,0.00038378205,0.008039895,0.0028302378,0.000051605686,0.00004657972,0.000007045442,0.0018935228],"genre_scores_gemma":[0.0050765336,0.9883717,0.000575932,0.0034198128,0.0019469579,0.00007561632,0.000049774895,0.000005899064,0.0004777766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.995475,0.001830076,0.0009002045,0.0004285998,0.0011364718,0.00022959101],"domain_scores_gemma":[0.95850646,0.027254228,0.0028544804,0.00061335013,0.010055541,0.0007158241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008347422,0.0008040886,0.0017256119,0.007597642,0.0011434626,0.0036408908,0.001615739,0.0031605077,0.0061274865],"category_scores_gemma":[0.026968174,0.00037948583,0.0015842943,0.0065611717,0.0021874916,0.0043723034,0.0016506849,0.0028632977,0.0012351825],"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":[0.00019657053,0.00007326785,0.00075843156,0.2549594,0.0006979453,0.00060909847,0.0017885267,0.00045787435,0.0008422775,0.03409161,0.11007786,0.5954472],"study_design_scores_gemma":[0.000020079793,0.000117072304,0.0014832205,0.1726262,0.00075811904,0.0006839994,0.001940296,0.00013179751,0.0003809656,0.008843076,0.81297284,0.00004233435],"about_ca_topic_score_codex":0.003396485,"about_ca_topic_score_gemma":0.006283066,"teacher_disagreement_score":0.008347422,"about_ca_system_score_codex":0.0036023823,"about_ca_system_score_gemma":0.012576797,"threshold_uncertainty_score":0.04414594},"labels":[],"label_agreement":null},{"id":"W4365453973","doi":"10.3390/en16083390","title":"Identification of Optimal Binders for Torrefied Biomass Pellets","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Office of Energy Research and Development; National Research Council Canada","keywords":"Torrefaction; Pellets; Pulp and paper industry; Biomass (ecology); Briquette; Pyrolysis; Lignin; Coal; Waste management; Materials science; Pellet; Bioenergy; Environmental science; Biofuel; Composite material; Chemistry; Agronomy; Organic chemistry","score_opus":0.011889526664262733,"score_gpt":0.2262731793680804,"score_spread":0.21438365270381765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365453973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9703972,0.010735452,0.013014215,0.00010637538,0.000059261274,0.00024282922,0.00039513243,0.00016260175,0.004887081],"genre_scores_gemma":[0.9709119,0.0059546414,0.01948484,0.00005009287,0.000023331677,0.0001629955,0.00046016774,0.00009132796,0.0028606667],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952495,0.000051124392,0.000048959042,0.00008124188,0.00021357668,0.000080248145],"domain_scores_gemma":[0.9997507,0.000042076437,0.00007049246,0.000013692591,0.00007871086,0.000044420176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004574984,0.00067355664,0.0007427637,0.0013529338,0.000359256,0.0008936045,0.00039870196,0.0005115492,0.0013400364],"category_scores_gemma":[0.0009940474,0.0002885121,0.00046903107,0.00094645633,0.00024425422,0.00078610703,0.00039276056,0.00048914086,0.000730353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020806376,0.00011737511,0.0005406236,0.00062549295,0.000019439847,0.0001689133,0.000072401715,0.0010469424,0.97816247,0.0004190564,0.0001068475,0.018512316],"study_design_scores_gemma":[0.000022938168,0.00061935093,0.004135428,0.000110143534,0.00007994984,0.00019495287,0.00017780106,0.0029689139,0.984681,0.00017282988,0.00680936,0.000027266728],"about_ca_topic_score_codex":0.0007169699,"about_ca_topic_score_gemma":0.0027099897,"teacher_disagreement_score":0.0013529338,"about_ca_system_score_codex":0.00032387557,"about_ca_system_score_gemma":0.0003831018,"threshold_uncertainty_score":0.0044828653},"labels":[],"label_agreement":null},{"id":"W4366216684","doi":"10.3390/en16083478","title":"Experimental and Numerical Analysis of the Effect of Rheological Models on Measurements of Shear-Thinning Fluid Flow in Smooth Pipes","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Turbulence; Laminar flow; Herschel–Bulkley fluid; Mechanics; Computational fluid dynamics; Shear thinning; Reynolds number; Rheology; Shear stress; Turbulence modeling; Fluid dynamics; Materials science; Thermodynamics; Mathematics; Geology; Physics","score_opus":0.01979454765414636,"score_gpt":0.25334286192606265,"score_spread":0.23354831427191627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366216684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849722,0.00044226815,0.014004803,0.00001698295,0.00001320836,0.000025223853,0.00009469447,0.00008786225,0.00034284164],"genre_scores_gemma":[0.99391323,0.00025588227,0.0055634757,0.00000529072,0.0000043534847,0.000019440646,0.000091467205,0.000013435099,0.00013328226],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991166,0.0002455161,0.00009723765,0.0001487646,0.00032954855,0.00006233622],"domain_scores_gemma":[0.9976687,0.0011757975,0.00039819072,0.00028710897,0.00042318195,0.000047007303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016192133,0.00073065894,0.00031083505,0.00056139205,0.00027866205,0.00038968597,0.00040456903,0.00054369867,0.0005461768],"category_scores_gemma":[0.0043349047,0.0002890082,0.0003723655,0.00043533708,0.00048529185,0.00063232245,0.00032289486,0.00036621475,0.00013655711],"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":[0.0010919131,0.00026481212,0.031675752,0.00050488755,0.000068855355,0.00023063908,0.00056038273,0.051838472,0.8847159,0.00034978075,0.000124497,0.028574122],"study_design_scores_gemma":[0.000027719994,0.002267233,0.055496283,0.000064168125,0.00010650967,0.0002334508,0.00022939463,0.1406605,0.79977745,0.00021840073,0.0008281959,0.00009068405],"about_ca_topic_score_codex":0.00045725555,"about_ca_topic_score_gemma":0.0004547316,"teacher_disagreement_score":0.0016192133,"about_ca_system_score_codex":0.00019823486,"about_ca_system_score_gemma":0.00013664606,"threshold_uncertainty_score":0.00856334},"labels":[],"label_agreement":null},{"id":"W4366221529","doi":"10.3390/en16083468","title":"Small Modular Reactor Deployment and Obstacles to Be Overcome","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Software deployment; Modular design; Energy security; Nuclear power; Process (computing); Identification (biology); Business; Environmental economics; Risk analysis (engineering); Computer science; Engineering; Economics; Renewable energy","score_opus":0.08395864465538407,"score_gpt":0.3167084656476659,"score_spread":0.23274982099228186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366221529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5808536,0.008794698,0.10003519,0.11867249,0.00089960865,0.0011283094,0.0004935369,0.0008444343,0.18827821],"genre_scores_gemma":[0.9391169,0.0032368181,0.031136699,0.002059235,0.00022191876,0.0003651566,0.00024491374,0.00013460207,0.02348388],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933461,0.002395424,0.00031199344,0.0007540027,0.0020391068,0.0011533701],"domain_scores_gemma":[0.97922784,0.010909301,0.0026138986,0.0018377206,0.0031789353,0.0022322747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01296205,0.00061124243,0.000313516,0.00090183294,0.0015505627,0.0037688264,0.002638188,0.0016772035,0.01702076],"category_scores_gemma":[0.023428584,0.00036181367,0.0005496214,0.00066513475,0.0017495679,0.0050969645,0.0038153548,0.0023687524,0.003889696],"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":[0.00042273497,0.00087845855,0.039025914,0.0020160184,0.00011323763,0.0029454904,0.008294844,0.017707173,0.012591628,0.25806034,0.053717364,0.60422677],"study_design_scores_gemma":[0.00017542165,0.0023675768,0.06933857,0.0025457563,0.000077400204,0.0034143163,0.047223236,0.018325076,0.011361481,0.17781226,0.6670948,0.00026415076],"about_ca_topic_score_codex":0.0045612655,"about_ca_topic_score_gemma":0.0040722974,"teacher_disagreement_score":0.01702076,"about_ca_system_score_codex":0.0028524,"about_ca_system_score_gemma":0.005124196,"threshold_uncertainty_score":0.06855065},"labels":[],"label_agreement":null},{"id":"W4366425780","doi":"10.3390/en16083520","title":"Nb2CTx-Based MXenes Most Recent Developments: From Principles to New Applications","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"United Arab Emirates University","keywords":"MXenes; Supercapacitor; Energy storage; Nanotechnology; Materials science; Flexibility (engineering); Electrochemical energy storage; Electrode; Electrochemistry; Chemistry; Power (physics)","score_opus":0.05365143372680902,"score_gpt":0.29248091365222834,"score_spread":0.2388294799254193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366425780","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":[0.080466196,0.82947135,0.01577189,0.0055458103,0.0013056147,0.00010701835,0.00041193687,0.00027881257,0.06664138],"genre_scores_gemma":[0.22058071,0.7314647,0.021666054,0.0017028718,0.00058856583,0.00016706799,0.00048877887,0.00009584543,0.023245474],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99990535,0.00001106575,0.0000067466926,0.000020031277,0.000040106148,0.000016754837],"domain_scores_gemma":[0.9999546,0.000010138505,0.0000060896473,0.0000047046155,0.000013566261,0.000010890355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032467284,0.00032250967,0.00027328124,0.0003178953,0.00027954255,0.0008951933,0.000343958,0.00044410853,0.0022780686],"category_scores_gemma":[0.00022132944,0.00032216733,0.00021140306,0.0003006823,0.00031682843,0.0012045744,0.0004563718,0.0010083858,0.00073158316],"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":[0.00027126397,0.00021253512,0.0007145797,0.010366392,0.000071486356,0.0007887883,0.0009405361,0.0030325314,0.47639677,0.15183727,0.025621403,0.3297464],"study_design_scores_gemma":[0.00002574992,0.0005527999,0.0008634987,0.0007433761,0.000035783723,0.0007653798,0.00015470773,0.002271908,0.1444332,0.010180986,0.8399259,0.00004671147],"about_ca_topic_score_codex":0.0005821893,"about_ca_topic_score_gemma":0.0009569351,"teacher_disagreement_score":0.0022780686,"about_ca_system_score_codex":0.0004666881,"about_ca_system_score_gemma":0.00029158403,"threshold_uncertainty_score":0.007620871},"labels":[],"label_agreement":null},{"id":"W4366598303","doi":"10.3390/en16083537","title":"Experimental Underperformance Detection of a Fixed-Speed Diesel–Electric Generator Based on Exhaust Gas Emissions","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Diesel fuel; Automotive engineering; Combustion; Exhaust gas; NOx; Diesel engine; Environmental science; Exhaust gas recirculation; Diesel exhaust; Diesel generator; Gas generator; Internal combustion engine; Waste management; Engineering; Chemistry; Mechanical engineering","score_opus":0.015287503192571342,"score_gpt":0.24966017809266827,"score_spread":0.23437267490009694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366598303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979982,0.00005633249,0.001164434,0.000013531394,0.000010226255,0.000020587016,0.00012486128,0.00004759014,0.0005642774],"genre_scores_gemma":[0.9981219,0.00006870111,0.0008079599,0.000010975733,0.0000026263644,0.000019003037,0.00011579297,0.00001396014,0.0008389664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955744,0.000029061017,0.000023078474,0.00010044575,0.00019929859,0.000090572765],"domain_scores_gemma":[0.99963903,0.000090446025,0.000034850036,0.000031118616,0.00016734128,0.000037230722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002901108,0.00051249156,0.00032858393,0.00035848483,0.00035886437,0.00024356564,0.0007945324,0.00045610344,0.001359865],"category_scores_gemma":[0.00046389544,0.0001636659,0.00020899365,0.00038788398,0.0004234988,0.00025516425,0.00031225005,0.0003593724,0.0002827214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006340114,0.00023356875,0.007580026,0.00018147832,0.000020285113,0.00033817906,0.00020389004,0.0012912443,0.9813757,0.00008060635,0.0001642354,0.007896945],"study_design_scores_gemma":[0.000017618488,0.0013942536,0.025996018,0.000008877198,0.000025721143,0.00015146566,0.00022637015,0.0058815964,0.96551913,0.000049541748,0.00071219116,0.000017225677],"about_ca_topic_score_codex":0.0037146765,"about_ca_topic_score_gemma":0.007099107,"teacher_disagreement_score":0.0037146765,"about_ca_system_score_codex":0.0004030081,"about_ca_system_score_gemma":0.0002621061,"threshold_uncertainty_score":0.0073860884},"labels":[],"label_agreement":null},{"id":"W4366772322","doi":"10.3390/en16083601","title":"Actualization and Adoption of Renewable Energy Usage in Remote Communities in Canada by 2050: A Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Sugar Research and Development Corporation","keywords":"Renewable energy; Business; Environmental economics; Software deployment; Feed-in tariff; Natural resource economics; Renewable energy credit; Indigenous; Subsidy; Greenhouse gas; Energy development; Wind power; Sustainable development; Environmental resource management; Energy policy; Environmental science; Economics; Engineering","score_opus":0.03799130051266398,"score_gpt":0.27465331009163285,"score_spread":0.23666200957896888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366772322","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":[0.00021769576,0.9987526,0.000031973716,0.00021536545,0.00004576247,0.000008766808,0.00013179159,0.0000028286204,0.0005931664],"genre_scores_gemma":[0.0020516021,0.99759525,0.0000777781,0.00009223017,0.000013499615,0.0000057127186,0.00006545833,0.0000011107886,0.000097353644],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988716,0.00011371647,0.00016117454,0.00014148248,0.0006101377,0.00010173046],"domain_scores_gemma":[0.9961183,0.0014404982,0.00043620286,0.000050704297,0.0017423305,0.00021194799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023878522,0.00081065105,0.0015505591,0.0064588943,0.00091535033,0.0023113075,0.0014630808,0.0009872561,0.002168999],"category_scores_gemma":[0.0047171735,0.00041388068,0.001220017,0.011685937,0.0009818564,0.0011098677,0.00070686487,0.0011797593,0.0002470571],"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":[0.000120194105,0.000049654078,0.0025962645,0.1379103,0.0006073446,0.00014496448,0.00048135448,0.0007526553,0.00040660208,0.0037700944,0.023231976,0.8299285],"study_design_scores_gemma":[0.000028601642,0.0001345696,0.021338983,0.115935184,0.0021699157,0.00065202103,0.00081797206,0.00032314696,0.00068252865,0.0010636173,0.8567416,0.000111884525],"about_ca_topic_score_codex":0.6759772,"about_ca_topic_score_gemma":0.8081288,"teacher_disagreement_score":0.32402283,"about_ca_system_score_codex":0.011930897,"about_ca_system_score_gemma":0.048306555,"threshold_uncertainty_score":0.65186214},"labels":[],"label_agreement":null},{"id":"W4366773306","doi":"10.3390/en16083572","title":"Quantum Computing and Machine Learning for Cybersecurity: Distributed Denial of Service (DDoS) Attack Detection on Smart Micro-Grid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Denial-of-service attack; Computer science; Computer security; Quantum computer; Artificial intelligence; Grid; Service (business); Distributed computing; Machine learning; Quantum; The Internet; Operating system","score_opus":0.02253328804429295,"score_gpt":0.2523901678904128,"score_spread":0.22985687984611985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366773306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1836471,0.006654737,0.7903971,0.010842864,0.0005093717,0.00007124323,0.00023696253,0.0009886182,0.0066519803],"genre_scores_gemma":[0.9598366,0.0017335969,0.036052715,0.00031892463,0.00017421048,0.00002660184,0.00012342069,0.000035330955,0.0016985071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949944,0.00020459984,0.000021946204,0.00010841725,0.0001189777,0.00004654224],"domain_scores_gemma":[0.99882096,0.00067985454,0.00010290222,0.000159346,0.00018697196,0.00005000392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009308662,0.0003648392,0.0006949158,0.00061000395,0.00056822755,0.001280368,0.0007661004,0.0009605881,0.0011199868],"category_scores_gemma":[0.0033411568,0.00016491787,0.00037801918,0.0011057156,0.00090532535,0.0018641044,0.0006868028,0.0012271315,0.0001566507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017093406,0.00013739154,0.0063140322,0.00019724925,0.000083958534,0.00018413481,0.00011180202,0.69890505,0.0041219373,0.08165847,0.007132098,0.2009829],"study_design_scores_gemma":[0.0000023772845,0.000015847727,0.00031897434,0.000006176736,0.000003928431,0.000027235787,0.00001493302,0.97850865,0.00084361754,0.019380175,0.00087319285,0.000004739035],"about_ca_topic_score_codex":0.0035739222,"about_ca_topic_score_gemma":0.0023646532,"teacher_disagreement_score":0.0035739222,"about_ca_system_score_codex":0.00097594823,"about_ca_system_score_gemma":0.00065903965,"threshold_uncertainty_score":0.0071062446},"labels":[],"label_agreement":null},{"id":"W4366827295","doi":"10.3390/en16093610","title":"Diffusion Absorption Refrigeration Systems: An Overview of Thermal Mechanisms and Models","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Université du Québec à Rimouski","funders":"","keywords":"Absorption refrigerator; Refrigeration; Renewable energy; Scope (computer science); Vapor-compression refrigeration; Process engineering; Greenhouse gas; Fossil fuel; Geothermal gradient; Environmental science; Geothermal energy; Computer science; Systems engineering; Refrigerant; Environmental economics; Engineering; Mechanical engineering; Waste management; Heat exchanger; Electrical engineering; Physics; Economics","score_opus":0.03771844708631148,"score_gpt":0.2881245231851885,"score_spread":0.250406076098877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366827295","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02681604,0.34685743,0.54594105,0.0043910993,0.000883808,0.00023680986,0.0011409719,0.0008487154,0.07288406],"genre_scores_gemma":[0.5028608,0.36196926,0.09232984,0.0008891383,0.0031070919,0.0009712807,0.0011327327,0.0006270853,0.03611283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997476,0.00006535041,0.000022416247,0.000053968648,0.00008182494,0.00002879308],"domain_scores_gemma":[0.9997464,0.00013157542,0.000033204877,0.000026012573,0.000050157567,0.000012574972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005823153,0.0010943881,0.0013276809,0.0014283546,0.000579854,0.0016374992,0.0018181102,0.0016143312,0.0023568876],"category_scores_gemma":[0.0007841718,0.000660247,0.0012267873,0.0014468617,0.0013829495,0.0029799019,0.0010850267,0.0015622079,0.00090074824],"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":[0.000057767833,0.000102973856,0.0011957417,0.0020898154,0.00010861912,0.00018460267,0.00033412085,0.30303058,0.0077508045,0.6315881,0.005955971,0.047600895],"study_design_scores_gemma":[0.000017150984,0.000101637204,0.0012037456,0.00035262908,0.00006371695,0.00033547892,0.000088085,0.6223948,0.0019424561,0.28672898,0.08669709,0.00007411165],"about_ca_topic_score_codex":0.0024568196,"about_ca_topic_score_gemma":0.0010975274,"teacher_disagreement_score":0.0024568196,"about_ca_system_score_codex":0.0011031076,"about_ca_system_score_gemma":0.00073421036,"threshold_uncertainty_score":0.0080035925},"labels":[],"label_agreement":null},{"id":"W4366828663","doi":"10.3390/en16093623","title":"Experimental Development of Calcium Looping Carbon Capture Processes: An Overview of Opportunities and Challenges","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Calcium looping; Context (archaeology); Scopus; Fluidized bed; Carbon capture and storage (timeline); European union; Scale (ratio); Environmental science; Computer science; Political science; Climate change; Sorbent; Business; Chemistry; Engineering; Waste management; Geography; Biology; MEDLINE","score_opus":0.17457502160841773,"score_gpt":0.29862598110328165,"score_spread":0.12405095949486392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366828663","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8070582,0.10570097,0.03924353,0.0015223182,0.0004401453,0.0030115223,0.002693161,0.00044046904,0.039889723],"genre_scores_gemma":[0.86178,0.083504945,0.043020476,0.00036421753,0.0001805859,0.0014508478,0.0020447613,0.0001214974,0.00753263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874336,0.0001839345,0.00010830796,0.00022430014,0.0005956072,0.00014440173],"domain_scores_gemma":[0.9992151,0.00023725389,0.00012173074,0.000108663364,0.00023855756,0.00007865362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022660452,0.0005300597,0.0006671832,0.0014644915,0.00077071716,0.0012266231,0.0008756259,0.0008842908,0.0026142683],"category_scores_gemma":[0.0017006748,0.00023612117,0.00088289735,0.0018449147,0.0006992099,0.001105543,0.00064019253,0.0011232905,0.0005092735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019077694,0.0043656644,0.004659358,0.014076626,0.0003190554,0.00048607792,0.00045422767,0.00455712,0.7825646,0.0100738015,0.0019761662,0.17455955],"study_design_scores_gemma":[0.00026096802,0.010791508,0.009371418,0.00087930344,0.0006573593,0.0005643762,0.00046377478,0.0039718184,0.87507355,0.0032157418,0.094625555,0.00012452682],"about_ca_topic_score_codex":0.0020108693,"about_ca_topic_score_gemma":0.002694369,"teacher_disagreement_score":0.0026142683,"about_ca_system_score_codex":0.0012941166,"about_ca_system_score_gemma":0.0019103268,"threshold_uncertainty_score":0.0119841695},"labels":[],"label_agreement":null},{"id":"W4366987544","doi":"10.3390/en16093675","title":"Cavitation Hydrodynamic Performance of 3-D Printed Highly Skewed Stainless Steel Tidal Turbine Rotors","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Turbine; Marine engineering; Cavitation; Tidal power; Skewness; Skew; Rotor (electric); Dynamometer; Vibration; Wind power; Torque; Environmental science; Engineering; Mechanical engineering; Acoustics; Physics","score_opus":0.006423802042256687,"score_gpt":0.20332640522406686,"score_spread":0.1969026031818102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366987544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947796,0.000092272865,0.004350377,0.000020048208,0.000028027696,0.000006438487,0.000058431448,0.00014499735,0.00051988376],"genre_scores_gemma":[0.9963529,0.000057072284,0.0028484133,0.000011867641,0.0000034134014,0.000004852685,0.000049193848,0.000014593814,0.0006576697],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996896,0.000025020925,0.00003450876,0.000045726098,0.00017385877,0.0000312226],"domain_scores_gemma":[0.9991653,0.0002526026,0.0001758825,0.00011348606,0.00023231505,0.000060403763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031654284,0.00023269859,0.00028654357,0.00029681812,0.000125308,0.00038934863,0.00027715732,0.00049415673,0.0007898551],"category_scores_gemma":[0.0008730233,0.00020921156,0.0004079307,0.00019739647,0.00038344273,0.00021307416,0.00019921313,0.00023079703,0.00035928527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021048274,0.000054756998,0.0035163458,0.0000769129,0.000015970521,0.0005571573,0.00016163701,0.01931316,0.96385527,0.00013568613,0.00018141788,0.011921152],"study_design_scores_gemma":[0.00003470569,0.0014971183,0.037016828,0.00001474221,0.00003430672,0.0005084812,0.00019622249,0.075346984,0.88368714,0.00009101727,0.0014866183,0.00008582207],"about_ca_topic_score_codex":0.00046128785,"about_ca_topic_score_gemma":0.000676525,"teacher_disagreement_score":0.0007898551,"about_ca_system_score_codex":0.00018832981,"about_ca_system_score_gemma":0.000096535194,"threshold_uncertainty_score":0.0026423335},"labels":[],"label_agreement":null},{"id":"W4367297479","doi":"10.3390/en16093795","title":"Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Instituto Tecnológico y de Estudios Superiores de Monterrey; Canada First Research Excellence Fund; University of Alberta","keywords":"Fuzzy logic; Photovoltaic system; Renewable energy; Hybrid system; Computer science; Neuro-fuzzy; Fuzzy control system; Control engineering; Systems engineering; Artificial intelligence; Engineering; Machine learning","score_opus":0.07035182910533087,"score_gpt":0.3530871383377263,"score_spread":0.2827353092323954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367297479","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":[0.00045224855,0.9973477,0.0006580981,0.000663719,0.00016936984,0.00011780733,0.00010379737,0.000007745849,0.00047941555],"genre_scores_gemma":[0.005762258,0.99062306,0.0025497773,0.00052258564,0.00009111609,0.0002243499,0.00009774538,0.0000042814845,0.00012469757],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99506444,0.0018533751,0.0016720886,0.00031624464,0.0009680953,0.00012576715],"domain_scores_gemma":[0.9676867,0.02456924,0.0031076258,0.00046043223,0.0038934278,0.00028263268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011192233,0.0011126392,0.0037084206,0.0152741335,0.0006868136,0.0026428804,0.0014880487,0.0017975724,0.004287198],"category_scores_gemma":[0.034977715,0.0007602633,0.0044284873,0.012540201,0.0009484035,0.002626705,0.001426408,0.0011879167,0.00044050443],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010540842,0.000040874536,0.0008005857,0.6883573,0.0021709162,0.00018201846,0.00043726462,0.00051572954,0.00031937042,0.0024751807,0.0050494024,0.29954588],"study_design_scores_gemma":[0.000060619474,0.0001873967,0.0023043714,0.90668243,0.01010355,0.00040234588,0.00055393804,0.00026276938,0.00027830366,0.0019660613,0.07715468,0.00004359695],"about_ca_topic_score_codex":0.00617788,"about_ca_topic_score_gemma":0.021381376,"teacher_disagreement_score":0.0152741335,"about_ca_system_score_codex":0.002404885,"about_ca_system_score_gemma":0.016360627,"threshold_uncertainty_score":0.05919087},"labels":[],"label_agreement":null},{"id":"W4367311507","doi":"10.3390/en16093808","title":"Proof of the Concept of Detailed Dynamic Thermal-Hydraulic Network Model of Liquid Immersed Power Transformers","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Transformer; Thermosiphon; Distribution transformer; Grid; Dynamic simulation; Thermal; Solver; Mechanical engineering; Computer science; Engineering; Mechanics; Voltage; Simulation; Electrical engineering; Physics; Heat exchanger; Thermodynamics; Mathematics","score_opus":0.007687548539681796,"score_gpt":0.20310604671870744,"score_spread":0.19541849817902565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367311507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005472851,0.00018164802,0.98411995,0.00018720551,0.00007373085,0.000047882873,0.00016169134,0.00022169169,0.009533418],"genre_scores_gemma":[0.7534929,0.00087160256,0.22199202,0.0001821743,0.00013161077,0.00046561786,0.00044036744,0.00024854176,0.022175157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979883,0.00003932725,0.000007748863,0.00004734141,0.000090218295,0.000016595495],"domain_scores_gemma":[0.9997893,0.000073725874,0.00003260365,0.000023470813,0.00006623824,0.000014632909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029284638,0.00064198335,0.00045918336,0.00032477936,0.00030498003,0.0007366672,0.0008731309,0.0007084703,0.0045894417],"category_scores_gemma":[0.0008273208,0.00030366337,0.0006117562,0.00021203412,0.00080820755,0.0010175189,0.00077507447,0.0011196785,0.0006599922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004253652,0.000044261873,0.0006351389,0.00020312518,0.000016898057,0.00031250963,0.00017534215,0.80394566,0.019126195,0.15376721,0.0022910598,0.019440006],"study_design_scores_gemma":[0.000007854543,0.00002025403,0.00011159995,0.000010346651,0.000004605494,0.00008010815,0.000012555689,0.98182505,0.001568844,0.01162973,0.0047220294,0.0000069629737],"about_ca_topic_score_codex":0.0039694468,"about_ca_topic_score_gemma":0.002399487,"teacher_disagreement_score":0.0045894417,"about_ca_system_score_codex":0.000578507,"about_ca_system_score_gemma":0.0008765344,"threshold_uncertainty_score":0.015353203},"labels":[],"label_agreement":null},{"id":"W4367317405","doi":"10.3390/en16093746","title":"Hydrogen Production from Supercritical Water Gasification of Model Compounds of Crude Glycerol from Biodiesel Industries","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glycerol; Oleic acid; Biodiesel; Syngas; Methanol; Raw material; Chemistry; Supercritical fluid; Biodiesel production; Yield (engineering); Response surface methodology; Hydrogen production; Organic chemistry; Catalysis; Chemical engineering; Pulp and paper industry; Chromatography; Materials science; Biochemistry","score_opus":0.03338618967800852,"score_gpt":0.23034116658829346,"score_spread":0.19695497691028493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367317405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909821,0.00051439,0.006020821,0.000056969857,0.0000114492395,0.00003056819,0.00041829605,0.000087739885,0.0018776761],"genre_scores_gemma":[0.99662906,0.00043676587,0.0018812728,0.000007959815,0.0000023411073,0.000024498137,0.00029399205,0.000008557309,0.0007156271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998888,0.000009804064,0.00000677961,0.00001438904,0.000058859172,0.000021334177],"domain_scores_gemma":[0.9999653,0.00000765488,0.0000075158196,0.0000040351856,0.000012362984,0.0000030487367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015182876,0.00039760637,0.00018822569,0.00036387998,0.00015970774,0.00021908164,0.00024633008,0.0001929304,0.000456671],"category_scores_gemma":[0.0001409504,0.00013901592,0.0004043955,0.00037333585,0.00019259921,0.00030507162,0.000251441,0.00030022053,0.0001451479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011323472,0.000030181143,0.00075295975,0.00017797461,0.000011116667,0.000091659356,0.00003833808,0.0036332086,0.9878479,0.00029639428,0.00009966034,0.0069072777],"study_design_scores_gemma":[0.0000019664928,0.00004404974,0.0005864607,0.000003734111,0.000004625096,0.0000118264325,0.000018155864,0.0037842204,0.9950422,0.000035581103,0.00046357609,0.0000035552016],"about_ca_topic_score_codex":0.005222027,"about_ca_topic_score_gemma":0.008326615,"teacher_disagreement_score":0.005222027,"about_ca_system_score_codex":0.0003901627,"about_ca_system_score_gemma":0.00035091714,"threshold_uncertainty_score":0.010383248},"labels":[],"label_agreement":null},{"id":"W4367624030","doi":"10.3390/en16093829","title":"Bubbling Phenomena in Liquid-Filled Transformers: Background and Assessment","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Insulation system; Moisture; Transformer; Materials science; Electric power system; Bubble; Environmental science; Forensic engineering; Nuclear engineering; Composite material; Electrical engineering; Engineering; Mechanics; Power (physics); Thermodynamics; Voltage","score_opus":0.024803935002080175,"score_gpt":0.267616841060228,"score_spread":0.24281290605814781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367624030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4873258,0.16923088,0.31028855,0.0007985105,0.00045489683,0.0009137261,0.0009496977,0.0013558201,0.028682182],"genre_scores_gemma":[0.89238024,0.08154117,0.021018606,0.00010637311,0.00031781383,0.00022008944,0.0005537161,0.00007430553,0.0037877103],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993007,0.000114336566,0.000056918012,0.00010986123,0.000368812,0.000049345792],"domain_scores_gemma":[0.99891627,0.00040602515,0.00021352216,0.000040129078,0.00036020853,0.00006386743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090029824,0.0010710056,0.0008506155,0.0023087075,0.0003892484,0.0017603792,0.0010546116,0.0013341206,0.0013212041],"category_scores_gemma":[0.0015978074,0.0004151525,0.0007703647,0.0018684292,0.000775653,0.0020638627,0.0009598872,0.00088170153,0.0004955012],"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":[0.0012818113,0.0014248495,0.043217786,0.013290294,0.00015402336,0.0038351552,0.002012818,0.18295702,0.28277457,0.025040388,0.0047297548,0.43928158],"study_design_scores_gemma":[0.000050896415,0.0047136648,0.033867612,0.0014303571,0.00034724973,0.004131046,0.0018163951,0.6886844,0.2056449,0.009986293,0.048896067,0.000431138],"about_ca_topic_score_codex":0.0028696272,"about_ca_topic_score_gemma":0.001117928,"teacher_disagreement_score":0.0028696272,"about_ca_system_score_codex":0.000941751,"about_ca_system_score_gemma":0.0005554836,"threshold_uncertainty_score":0.0068329573},"labels":[],"label_agreement":null},{"id":"W4367627015","doi":"10.3390/en16093825","title":"Comparing the Performance of a Straight-Channel Heat Sink with Different Channel Heights: An Experimental and Numerical Study","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Heat sink; Nusselt number; Mechanics; Pressure drop; Thermal; Volumetric flow rate; Thermodynamics; Materials science; Reynolds number; Physics","score_opus":0.020085908970535016,"score_gpt":0.2259055362451605,"score_spread":0.20581962727462547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367627015","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915202,0.00017704892,0.0065223845,0.000039465413,0.000025183637,0.000039572373,0.00017183111,0.00011028131,0.0013940752],"genre_scores_gemma":[0.9936759,0.00010305912,0.005605943,0.0000056849367,0.0000041426733,0.000034641747,0.0000630717,0.000013207289,0.0004942929],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997985,0.000020154372,0.0000131445,0.00004232855,0.00007308314,0.000052887386],"domain_scores_gemma":[0.9993723,0.00026618276,0.00009118159,0.00006464725,0.00017335384,0.000032374483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046381875,0.0003760131,0.0003676372,0.0003792618,0.00027885204,0.00036457286,0.00038032318,0.0004422564,0.0012218474],"category_scores_gemma":[0.00079233974,0.00016166475,0.00031757267,0.000400199,0.0005623399,0.0005438969,0.00026476922,0.00024194708,0.00013264343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011203666,0.00056225434,0.009324252,0.0006805802,0.000039806448,0.00028406284,0.0002564849,0.14407755,0.8205949,0.0014109355,0.00077714806,0.020871645],"study_design_scores_gemma":[0.000090601134,0.0026319916,0.01419093,0.000027338423,0.00006919257,0.0001067257,0.00023083048,0.28089893,0.6997216,0.00033965608,0.001615766,0.00007648073],"about_ca_topic_score_codex":0.0010211334,"about_ca_topic_score_gemma":0.0013057112,"teacher_disagreement_score":0.0012218474,"about_ca_system_score_codex":0.0003271776,"about_ca_system_score_gemma":0.00032181677,"threshold_uncertainty_score":0.004087448},"labels":[],"label_agreement":null},{"id":"W4376956987","doi":"10.3390/en16104093","title":"Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Hydro; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Ontario Centre of Innovation","keywords":"Randomness; Electricity; Computer science; Reliability (semiconductor); Bayesian inference; Electric vehicle; Demand forecasting; Bayesian probability; Interval (graph theory); Artificial neural network; Mains electricity; Probabilistic forecasting; Econometrics; Operations research; Economics; Artificial intelligence; Engineering; Voltage; Statistics; Probabilistic logic; Power (physics)","score_opus":0.02399711630829156,"score_gpt":0.22471896175768222,"score_spread":0.20072184544939065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376956987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94577104,0.0002201837,0.050147835,0.00027823,0.000060454793,0.000022589704,0.0009159367,0.0002973465,0.0022864388],"genre_scores_gemma":[0.9968166,0.000048130772,0.0023449291,0.000010478819,0.00000763053,0.0000065142513,0.00044255445,0.0000050273993,0.00031821313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998802,0.000029534533,0.0000077396635,0.000035638863,0.000024250368,0.000022715793],"domain_scores_gemma":[0.9994598,0.00030599738,0.00006142313,0.000034222874,0.00011177959,0.000026725902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050214597,0.00034193337,0.00037382933,0.00031739046,0.00014804117,0.0003691456,0.00053583976,0.0004758956,0.0012020144],"category_scores_gemma":[0.0019912582,0.0001348042,0.00024450565,0.00038751398,0.00010539821,0.0007380188,0.00032118932,0.000566695,0.00024923158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044880217,0.00010463368,0.028825639,0.00005619379,0.000054764896,0.00016129459,0.00008190766,0.92174655,0.0012978808,0.0010190039,0.0016039195,0.044599365],"study_design_scores_gemma":[0.0000013755999,0.000009461725,0.0018535904,0.0000022345657,0.000002955343,0.000004788338,0.000016219916,0.9975936,0.00017311066,0.0002834625,0.000056692064,0.0000025733336],"about_ca_topic_score_codex":0.014176924,"about_ca_topic_score_gemma":0.0135592725,"teacher_disagreement_score":0.014176924,"about_ca_system_score_codex":0.00043626598,"about_ca_system_score_gemma":0.00024576212,"threshold_uncertainty_score":0.028188825},"labels":[],"label_agreement":null},{"id":"W4376958079","doi":"10.3390/en16104096","title":"Entropy Generation Minimization of Two-Phase Flow Irreversibilities in Hydrocarbon Reservoirs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petroleum engineering; Capillary pressure; Wellbore; Porous medium; Multiphase flow; Entropy (arrow of time); Entropy production; Petroleum; Hydrocarbon; Oil in place; Environmental science; Thermodynamics; Porosity; Chemistry; Geology; Geotechnical engineering","score_opus":0.017465476440581506,"score_gpt":0.2893787267572286,"score_spread":0.2719132503166471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376958079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83613235,0.00048399466,0.15976338,0.00011577412,0.0000126064315,0.000036341076,0.00005736452,0.000058565147,0.0033396855],"genre_scores_gemma":[0.99665713,0.00010156873,0.0025502315,0.000004428258,0.0000017665803,0.000017210139,0.000017136474,0.0000071897393,0.00064323394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999149,0.000022248516,0.000003561518,0.000012976405,0.000023154882,0.0000231457],"domain_scores_gemma":[0.9998055,0.00011884072,0.00003302767,0.000009451069,0.00002300267,0.00001018974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003004476,0.00030250035,0.00040672737,0.00031257112,0.0001984058,0.00051378185,0.00026869873,0.00028264918,0.0003011993],"category_scores_gemma":[0.0005907783,0.0002366973,0.00046249558,0.00020859987,0.00046754527,0.0005491781,0.00043918056,0.00025791937,0.000033394655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004680576,0.000030539748,0.0008324111,0.000043092266,0.000013108252,0.00007122964,0.000023205734,0.97634614,0.015015528,0.003501575,0.00004983288,0.004026561],"study_design_scores_gemma":[0.0000022636455,0.000024246088,0.00020420342,0.0000014301515,0.0000027431363,0.000005386327,0.000005008466,0.99651307,0.0026591893,0.00053304934,0.00004660124,0.000002786547],"about_ca_topic_score_codex":0.002817906,"about_ca_topic_score_gemma":0.0016498342,"teacher_disagreement_score":0.002817906,"about_ca_system_score_codex":0.00051450275,"about_ca_system_score_gemma":0.00052244315,"threshold_uncertainty_score":0.005603075},"labels":[],"label_agreement":null},{"id":"W4377097971","doi":"10.3390/en16104186","title":"Locating and Sizing Electric Vehicle Chargers Considering Multiple Technologies","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Group for Research in Decision Analysis; HEC Montréal","funders":"European Commission","keywords":"Sizing; Solver; Heuristic; Electric vehicle; Computer science; Set (abstract data type); Time horizon; Investment (military); Order (exchange); Mathematical optimization; Operations research; Real-time computing; Automotive engineering; Engineering; Business; Finance; Power (physics); Mathematics","score_opus":0.007085067397836216,"score_gpt":0.18557372362111899,"score_spread":0.17848865622328278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377097971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42698765,0.0008422697,0.54824406,0.00052250305,0.00011637624,0.00037638648,0.00069174415,0.00047681597,0.021742336],"genre_scores_gemma":[0.9037782,0.0002527327,0.09100291,0.000045761903,0.000026607564,0.000131342,0.00025363933,0.00006535041,0.0044434234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963415,0.00011753521,0.000014261739,0.00009113166,0.000056424247,0.000086532316],"domain_scores_gemma":[0.99940217,0.00039518613,0.00008024219,0.000023039993,0.000053349137,0.000045890025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006393849,0.0013044712,0.0010875232,0.0008333391,0.00040467008,0.0016671885,0.0010651473,0.0011864292,0.003956516],"category_scores_gemma":[0.0017608847,0.0008334523,0.00097216776,0.0011922903,0.0005320546,0.0009186915,0.0007483534,0.0006732104,0.00025409608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028045597,0.0000180315,0.00048754027,0.00003947726,0.000014830257,0.00007318786,0.000012506289,0.99221146,0.0003863809,0.0010792036,0.00019143586,0.0054580183],"study_design_scores_gemma":[0.0000136430235,0.000043001608,0.000351278,0.000008567348,0.000018776986,0.000025195512,0.000059790884,0.9970049,0.00039415795,0.0015724327,0.0005028189,0.000005429362],"about_ca_topic_score_codex":0.012946977,"about_ca_topic_score_gemma":0.014437813,"teacher_disagreement_score":0.012946977,"about_ca_system_score_codex":0.0013889638,"about_ca_system_score_gemma":0.0017187897,"threshold_uncertainty_score":0.025743186},"labels":[],"label_agreement":null},{"id":"W4377104603","doi":"10.3390/en16104151","title":"Nuclear-Renewable Hybrid Energy System with Load Following for Fast Charging Stations","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Renewable energy; Greenhouse gas; Automotive engineering; Energy storage; Electricity; Grid; Wind power; Computer science; Environmental economics; Environmental science; Engineering; Electrical engineering; Power (physics)","score_opus":0.011690010291437264,"score_gpt":0.23272340538818084,"score_spread":0.22103339509674358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377104603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26171705,0.0010441359,0.6918141,0.0006604846,0.00033349503,0.00036850062,0.0005419305,0.0026450998,0.04087516],"genre_scores_gemma":[0.9934564,0.00008710964,0.003610851,0.000026280175,0.000014409935,0.0000708908,0.00006571431,0.000007831647,0.0026605504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977165,0.000041412328,0.000018251816,0.00006676078,0.000068566005,0.000033450928],"domain_scores_gemma":[0.9998586,0.000037124362,0.000029576173,0.000014445127,0.000045817513,0.000014513784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031748638,0.00060323573,0.0009141942,0.0003233924,0.00090499327,0.0011072372,0.001235122,0.00068984454,0.0041959053],"category_scores_gemma":[0.0002780506,0.00026182237,0.00053340883,0.00045031452,0.0003439534,0.0008152568,0.0008050101,0.00053457107,0.0006834949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029828274,0.00013165502,0.0012636924,0.000180097,0.000075039316,0.0003868239,0.00007503108,0.9465672,0.0077921688,0.0045029814,0.0015770453,0.037150003],"study_design_scores_gemma":[0.000023418474,0.00010489178,0.00026550266,0.000006532999,0.000019514164,0.00003895747,0.00001348875,0.9971384,0.00083805417,0.0007633685,0.0007779441,0.000010034183],"about_ca_topic_score_codex":0.00525093,"about_ca_topic_score_gemma":0.0071012382,"teacher_disagreement_score":0.00525093,"about_ca_system_score_codex":0.0006334878,"about_ca_system_score_gemma":0.0007658336,"threshold_uncertainty_score":0.014036655},"labels":[],"label_agreement":null},{"id":"W4377291845","doi":"10.3390/en16104228","title":"Optimal Inverter Control Strategies for a PV Power Generation with Battery Storage System in Microgrid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Microgrid; Photovoltaic system; Energy storage; Grid-connected photovoltaic power system; Inverter; Controller (irrigation); Engineering; Maximum power point tracking; Computer science; Renewable energy; Control theory (sociology); Power (physics); Electronic engineering; Electrical engineering; Control (management); Voltage","score_opus":0.013237248661908209,"score_gpt":0.22768840032166487,"score_spread":0.21445115165975667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377291845","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23894481,0.00066715374,0.7336016,0.0002449549,0.000052144656,0.00019589906,0.000100259385,0.0004173015,0.025775775],"genre_scores_gemma":[0.98695,0.00012506926,0.011510169,0.000014139755,0.0000058284345,0.00005057256,0.000017503964,0.00000972053,0.0013168897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999243,0.000023037699,0.0000046041314,0.0000123300515,0.00002159213,0.000014090966],"domain_scores_gemma":[0.99992204,0.00003079152,0.000018205259,0.0000042537895,0.000020000993,0.0000046172945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023703312,0.00037692397,0.00034641425,0.00024276368,0.00025159353,0.0005924236,0.00038115928,0.00031123863,0.001788032],"category_scores_gemma":[0.00035292798,0.00017048951,0.00024202044,0.00021469216,0.00024712965,0.00026001607,0.00031358027,0.0002826629,0.00015106497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008842372,0.000054122956,0.00041894015,0.000101708916,0.000028522098,0.00008987627,0.00007662367,0.9647763,0.0035224208,0.0045818407,0.00041014754,0.02585103],"study_design_scores_gemma":[0.000015949037,0.00006936024,0.00015560533,0.0000039505217,0.00000916333,0.0000073330134,0.000016524933,0.99800783,0.0004516151,0.00095038075,0.00030955882,0.0000026868015],"about_ca_topic_score_codex":0.004533146,"about_ca_topic_score_gemma":0.0051747,"teacher_disagreement_score":0.004533146,"about_ca_system_score_codex":0.00040207375,"about_ca_system_score_gemma":0.00047274918,"threshold_uncertainty_score":0.009013534},"labels":[],"label_agreement":null},{"id":"W4378085304","doi":"10.3390/en16114279","title":"Unique Symbolic Factorization for Fast Contingency Analysis Using Full Newton–Raphson Method","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Computer science; Factorization; Jacobian matrix and determinant; Solver; Matrix decomposition; Computation; Electric power system; Newton's method; Symbolic computation; Algorithm; Mathematical optimization; Power (physics); Applied mathematics; Mathematics; Nonlinear system","score_opus":0.018874208510033297,"score_gpt":0.29108621204864493,"score_spread":0.27221200353861164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378085304","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":[0.0069433935,0.00016129577,0.98725545,0.00010186087,0.00004323228,0.000041618365,0.000045511224,0.00032431696,0.0050832927],"genre_scores_gemma":[0.2997635,0.00047671888,0.69303054,0.00009284656,0.00007092635,0.00023366156,0.00019135274,0.00026233308,0.0058781765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998247,0.00005624399,0.0000065566805,0.000017307104,0.00007213983,0.000023060375],"domain_scores_gemma":[0.9997166,0.00013634576,0.000029294224,0.00003000365,0.000071601484,0.000016161846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038241546,0.0008029592,0.000604848,0.0004911705,0.00046446003,0.00051987293,0.0005362654,0.00051948434,0.006298617],"category_scores_gemma":[0.0011071112,0.00026842373,0.00059377385,0.00046209325,0.00047980738,0.0006378155,0.00059161644,0.00096251693,0.0012626088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009073485,0.00006658187,0.0007645302,0.00025761194,0.000036370155,0.00033371928,0.00022959455,0.76261413,0.010715483,0.07817977,0.004937433,0.14177404],"study_design_scores_gemma":[0.0000068747313,0.000012201818,0.000049083697,0.000006797283,0.000002717421,0.000024832549,0.00001266315,0.9929953,0.00061186455,0.0045425966,0.0017309657,0.0000040500154],"about_ca_topic_score_codex":0.004283255,"about_ca_topic_score_gemma":0.0046644052,"teacher_disagreement_score":0.006298617,"about_ca_system_score_codex":0.00039427876,"about_ca_system_score_gemma":0.0010401525,"threshold_uncertainty_score":0.021071017},"labels":[],"label_agreement":null},{"id":"W4378228208","doi":"10.3390/en16114302","title":"Optimizing Electric Vehicle Operations for a Smart Environment: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Electrification; Renewable energy; Smart grid; Incentive; Greenhouse gas; Environmental economics; Electric vehicle; Grid; Battery (electricity); Engineering; Automotive engineering; Computer science; Transport engineering; Electricity; Electrical engineering; Power (physics)","score_opus":0.031468752374355785,"score_gpt":0.26976011719407433,"score_spread":0.23829136481971855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378228208","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":[0.00023385155,0.9975593,0.00036028435,0.00016847244,0.00012233312,0.0000080129785,0.000026308398,0.000007848947,0.0015135232],"genre_scores_gemma":[0.0012676356,0.9979284,0.00029130644,0.00007026754,0.0000832918,0.00000553964,0.00003108519,0.000002083496,0.0003204276],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997353,0.000040941606,0.00004235713,0.000054494583,0.000104568404,0.00002238126],"domain_scores_gemma":[0.99928695,0.00041798997,0.00008301999,0.000021117741,0.00016672014,0.000024148585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000583527,0.0010233378,0.0013289447,0.0019474512,0.00022975894,0.0011502063,0.0007771875,0.0009539079,0.0040139784],"category_scores_gemma":[0.0010772295,0.0004004089,0.00082283554,0.0031803695,0.0002793574,0.001281726,0.00051849126,0.0008762559,0.0013111051],"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":[0.000053854314,0.00011607487,0.00037458175,0.052496456,0.00023853274,0.0001195274,0.00008233705,0.002704623,0.0010846271,0.009318494,0.019910766,0.91350013],"study_design_scores_gemma":[0.0000134342445,0.00018237453,0.0012352163,0.016006503,0.00043462595,0.0004894938,0.00011856261,0.00071885734,0.0006352818,0.0035707145,0.9765559,0.000039157505],"about_ca_topic_score_codex":0.0019462004,"about_ca_topic_score_gemma":0.0023891123,"teacher_disagreement_score":0.0040139784,"about_ca_system_score_codex":0.00047306,"about_ca_system_score_gemma":0.0015216889,"threshold_uncertainty_score":0.013428092},"labels":[],"label_agreement":null},{"id":"W4378472253","doi":"10.3390/en16114325","title":"New Insight into Enhancing Organic-Rich Shale Gas Recovery: Shut-in Performance Increased through Oxidative Fluids","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"China Scholarship Council; National Natural Science Foundation of China; Sichuan Province Youth Science and Technology Innovation Team; University of Regina","keywords":"Oil shale; Hydraulic fracturing; Dissolution; Petroleum engineering; Shut down; Geology; Oxidizing agent; Fracture (geology); Chemistry; Geotechnical engineering; Chemical engineering; Engineering; Process engineering","score_opus":0.009712737120963443,"score_gpt":0.21603917530083452,"score_spread":0.2063264381798711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378472253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800294,0.0033057714,0.01370095,0.0002182656,0.000047197893,0.000029618135,0.000159225,0.000241478,0.0022680012],"genre_scores_gemma":[0.99369836,0.0011661905,0.0041565388,0.000038454,0.000009731033,0.000012391275,0.000064003,0.000016066482,0.0008381535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989784,0.000010060437,0.0000081394855,0.000017977596,0.00003458198,0.000031465515],"domain_scores_gemma":[0.9999144,0.000019441464,0.000020771418,0.00000707084,0.000023850822,0.000014467303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019766598,0.00046054533,0.0002816439,0.00034782282,0.00014300438,0.00039883007,0.0002262147,0.00032620152,0.0009699127],"category_scores_gemma":[0.00018328548,0.00013515505,0.00029813123,0.00020574125,0.0002610947,0.00067437044,0.00033871955,0.0004292715,0.00016664564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010763127,0.000028199767,0.00042522454,0.00022162462,0.0000064484598,0.000077697165,0.00003312544,0.0004649602,0.9927021,0.00035900567,0.000064804284,0.005509071],"study_design_scores_gemma":[0.000006005213,0.00019566277,0.00095986924,0.000006531553,0.000012793308,0.000042107564,0.000047491896,0.0028273105,0.9943568,0.00008939557,0.0014482851,0.00000771139],"about_ca_topic_score_codex":0.00042260857,"about_ca_topic_score_gemma":0.00091516593,"teacher_disagreement_score":0.0009699127,"about_ca_system_score_codex":0.00022676644,"about_ca_system_score_gemma":0.00020778025,"threshold_uncertainty_score":0.003244698},"labels":[],"label_agreement":null},{"id":"W4378528475","doi":"10.3390/en16114364","title":"Reproducing Transformers’ Frequency Response from Finite Element Method (FEM) Simulation and Parameters Optimization","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Finite element method; Electromagnetic coil; Capacitive sensing; Engineering; Electrical element; Computer science; Electronic engineering; Reliability engineering; Structural engineering; Electrical engineering; Voltage","score_opus":0.020846537566275854,"score_gpt":0.26520755390583634,"score_spread":0.24436101633956048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378528475","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074484095,0.00008768712,0.9208552,0.000062644445,0.000027594133,0.000049051603,0.00021607893,0.0009838517,0.0032337494],"genre_scores_gemma":[0.74573314,0.00018446843,0.2509515,0.000026022717,0.000011391056,0.00015191351,0.00058854494,0.00021725126,0.0021359017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984026,0.00004157941,0.000009318347,0.00002475486,0.0000701778,0.000013870307],"domain_scores_gemma":[0.99960595,0.00021198214,0.00003745802,0.00006438889,0.000072070965,0.0000081549615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035578693,0.0005406118,0.00039772407,0.00059437513,0.00016728451,0.00046358356,0.00037503205,0.00069185795,0.0018891556],"category_scores_gemma":[0.001354499,0.00022746545,0.0005371788,0.00043994925,0.00023885783,0.00043157206,0.00023250187,0.00039378292,0.0005130796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052379746,0.000044291402,0.001689456,0.00011814613,0.00002337245,0.00007459865,0.000078734636,0.9258896,0.023127731,0.0023223963,0.0006127134,0.04596653],"study_design_scores_gemma":[0.0000029991738,0.000013311857,0.0002801107,0.0000052629007,0.0000034600107,0.000025369916,0.000013424685,0.99456453,0.0039858012,0.0003750938,0.00072614633,0.000004482688],"about_ca_topic_score_codex":0.002224895,"about_ca_topic_score_gemma":0.0023033943,"teacher_disagreement_score":0.002224895,"about_ca_system_score_codex":0.0002608852,"about_ca_system_score_gemma":0.00042471694,"threshold_uncertainty_score":0.0063198805},"labels":[],"label_agreement":null},{"id":"W4378808195","doi":"10.3390/en16114440","title":"A Data-Driven Approach for Generating Vortex-Shedding Regime Maps for an Oscillating Cylinder","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Reynolds number; Vortex shedding; Benchmark (surveying); Computer science; Dynamic time warping; Mathematics; Artificial intelligence; Physics; Mechanics; Turbulence","score_opus":0.05806700097690782,"score_gpt":0.2885303421751025,"score_spread":0.23046334119819467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378808195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05340527,0.000051549785,0.9438533,0.000064307766,0.000031875785,0.000082078805,0.0001760819,0.00074543094,0.0015900788],"genre_scores_gemma":[0.54652584,0.00009513551,0.45092466,0.000044355937,0.0000234346,0.00024100661,0.0006378954,0.00018323165,0.0013243865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990344,0.000012223639,0.00000437249,0.000018341982,0.000051304374,0.000010287016],"domain_scores_gemma":[0.9997627,0.00008213061,0.00002395968,0.000028690098,0.00008667527,0.000015812702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025243644,0.00040909337,0.00026795195,0.00064932805,0.00033515325,0.00039691842,0.0005695438,0.00039502257,0.0010569486],"category_scores_gemma":[0.00089675223,0.0002586739,0.00039071857,0.00036177505,0.00025981633,0.00042631087,0.000515182,0.0004465573,0.0003011189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001615429,0.000107314605,0.0016736562,0.00020884244,0.000038475555,0.00021490006,0.00025958312,0.73722714,0.096157186,0.0071616285,0.0015705033,0.15521924],"study_design_scores_gemma":[0.0000037748923,0.000021375456,0.00022951343,0.000003271923,0.000001853668,0.00002101973,0.000021652662,0.9904435,0.00746753,0.0011400129,0.0006371526,0.000009411477],"about_ca_topic_score_codex":0.001147295,"about_ca_topic_score_gemma":0.0014828319,"teacher_disagreement_score":0.001147295,"about_ca_system_score_codex":0.00021710018,"about_ca_system_score_gemma":0.0005187658,"threshold_uncertainty_score":0.0035358071},"labels":[],"label_agreement":null},{"id":"W4378904997","doi":"10.3390/en16114410","title":"Numerical Investigation of the Use of Electrically Conductive Concrete-Encased Electrodes as Potential Replacement for Substation Grounding Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Mitacs","keywords":"Ground; Rebar; Electrical conductor; Earthing system; Grid; Voltage; Software; Finite element method; Electrical engineering; Engineering; Structural engineering; Mechanical engineering; Computer science; Mathematics; Geometry","score_opus":0.03039875938207016,"score_gpt":0.23710669097114837,"score_spread":0.20670793158907821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378904997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9101084,0.0004214748,0.07223325,0.00020844529,0.000059061127,0.00006199301,0.0001838385,0.00020840076,0.016515339],"genre_scores_gemma":[0.98736364,0.000084490406,0.011652151,0.000007813053,0.0000025576453,0.000016777774,0.000028676699,0.000006610432,0.000837222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998555,0.000042539625,0.000009238374,0.00001997591,0.000047795438,0.000024907173],"domain_scores_gemma":[0.9995453,0.0002458319,0.00006791298,0.00004172044,0.00007859283,0.000020621272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031879608,0.000253495,0.00031838875,0.00037172658,0.00023099843,0.00046402126,0.00040102433,0.0006802781,0.0013121283],"category_scores_gemma":[0.0011374913,0.00014062325,0.00021377052,0.00038855584,0.0004332431,0.0003400356,0.0002984082,0.00020311764,0.00012789424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013812952,0.00006149584,0.0037893516,0.00014568237,0.000022160322,0.00029827384,0.00007331324,0.95735854,0.024345214,0.0031492836,0.00025313228,0.010365437],"study_design_scores_gemma":[0.000017927243,0.00012852436,0.0009164892,0.0000130831695,0.000015341706,0.000060896753,0.00007061601,0.99215615,0.0054928693,0.0003191559,0.0008022768,0.0000066887583],"about_ca_topic_score_codex":0.0020136915,"about_ca_topic_score_gemma":0.0019469496,"teacher_disagreement_score":0.0020136915,"about_ca_system_score_codex":0.00033916062,"about_ca_system_score_gemma":0.00027846443,"threshold_uncertainty_score":0.0043895245},"labels":[],"label_agreement":null},{"id":"W4378906501","doi":"10.3390/en16114443","title":"Integrated Demand Response Programs in Energy Hubs: A Review of Applications, Classifications, Models and Future Directions","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Université Laval","keywords":"Demand response; Renewable energy; Environmental economics; Electricity; Greenhouse gas; Computer science; Electric power system; Energy consumption; Engineering; Power (physics); Electrical engineering; Economics","score_opus":0.05837437754148273,"score_gpt":0.2849221968615805,"score_spread":0.22654781932009777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378906501","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":[0.0019065792,0.95849967,0.025757523,0.0015377812,0.0005283193,0.000047196165,0.00018879995,0.00009602396,0.011438042],"genre_scores_gemma":[0.02108295,0.963326,0.011400346,0.0004552571,0.00091058674,0.000071234565,0.00027543702,0.00004272242,0.0024355194],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937195,0.00013900186,0.000066995024,0.00017066552,0.00018278124,0.00006865654],"domain_scores_gemma":[0.9986349,0.00086773315,0.00015361843,0.000057637244,0.00023707813,0.000049166403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013950127,0.001552867,0.0015977625,0.0024192343,0.00042890458,0.0031106682,0.002175616,0.0017671982,0.00437105],"category_scores_gemma":[0.0017996304,0.0008844563,0.0014988062,0.0052792476,0.0011014018,0.0043221163,0.0012329128,0.0016949155,0.0016824604],"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":[0.000104014,0.00022355202,0.0026253164,0.01676504,0.00021373776,0.0002818566,0.00037494945,0.039687455,0.0010619297,0.28045872,0.026745073,0.6314584],"study_design_scores_gemma":[0.000032160566,0.00023645391,0.0031377033,0.008549224,0.0002941876,0.00083677314,0.0006977264,0.055745922,0.0008227618,0.14387178,0.78557926,0.00019615398],"about_ca_topic_score_codex":0.0055727013,"about_ca_topic_score_gemma":0.0035742382,"teacher_disagreement_score":0.0055727013,"about_ca_system_score_codex":0.0022067628,"about_ca_system_score_gemma":0.0019469691,"threshold_uncertainty_score":0.016011238},"labels":[],"label_agreement":null},{"id":"W4379232219","doi":"10.3390/en16114482","title":"Optimizing Integration of Fuel Cell Technology in Renewable Energy-Based Microgrids for Sustainable and Cost-Effective Energy","year":2023,"lang":"en","type":"article","venue":"Energies","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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Renewable energy; Photovoltaic system; Microgrid; Fossil fuel; Energy storage; Automotive engineering; Environmental economics; Process engineering; Computer science; Environmental science; Engineering; Reliability engineering; Electrical engineering; Waste management; Power (physics)","score_opus":0.009048484752973908,"score_gpt":0.2347845207728207,"score_spread":0.2257360360198468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379232219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41387972,0.0026643395,0.5399527,0.00036550232,0.00012734656,0.00016050469,0.000226141,0.00058831635,0.04203546],"genre_scores_gemma":[0.96777433,0.00062269176,0.028253747,0.000023206918,0.0000075496177,0.00004853417,0.000062176994,0.000022172933,0.0031856245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999155,0.000021352784,0.000004031423,0.000014020642,0.00003286997,0.000012218715],"domain_scores_gemma":[0.9999608,0.000014039796,0.0000072437592,0.0000041795197,0.000010858046,0.0000028676834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543054,0.0005155946,0.0003861886,0.00032489953,0.00027420776,0.00074748107,0.00046206833,0.00035975824,0.0011884181],"category_scores_gemma":[0.0002554956,0.00019154487,0.0003859832,0.0003492947,0.00014362985,0.0006643365,0.00033095095,0.0003025866,0.00019646737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033412856,0.000063862404,0.0009570617,0.00011487627,0.000046591515,0.00010367295,0.000021399508,0.9539632,0.0058266507,0.0025972328,0.00030173815,0.035970263],"study_design_scores_gemma":[0.000009224004,0.000117751944,0.00052606704,0.0000138540545,0.000028979075,0.000050366227,0.000035402,0.9925161,0.0034286059,0.0013281463,0.0019367773,0.000008700972],"about_ca_topic_score_codex":0.0026393975,"about_ca_topic_score_gemma":0.0061692316,"teacher_disagreement_score":0.0026393975,"about_ca_system_score_codex":0.00032550286,"about_ca_system_score_gemma":0.00049480156,"threshold_uncertainty_score":0.0052481294},"labels":[],"label_agreement":null},{"id":"W4379795936","doi":"10.3390/en16124544","title":"Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"Mitacs","keywords":"Interpretability; Autoencoder; Turbine; Computer science; Wind power; Visualization; Artificial intelligence; Condition monitoring; Data mining; Machine learning; Control engineering; Engineering; Artificial neural network","score_opus":0.01615155680820274,"score_gpt":0.2675486296846539,"score_spread":0.2513970728764512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379795936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07920412,0.00009917619,0.91932744,0.00011708111,0.000021519267,0.000024051253,0.000054496188,0.00032851368,0.0008236856],"genre_scores_gemma":[0.9338088,0.000084871936,0.06438295,0.000028825787,0.000013393748,0.000040411378,0.000088656416,0.000020926336,0.0015313342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987316,0.00003303129,0.00000787867,0.000040794035,0.000031583913,0.000013589124],"domain_scores_gemma":[0.99973553,0.00015509388,0.000033480996,0.000019475097,0.000047615285,0.00000872837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036128564,0.0003730936,0.00036307727,0.00021540734,0.000108798624,0.00045247603,0.00048529133,0.0005398456,0.00057662936],"category_scores_gemma":[0.001048713,0.00024934614,0.00041431416,0.00012400995,0.00025750336,0.00035994023,0.00035703753,0.00062235916,0.000101575875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000737242,0.000047141835,0.001404566,0.000037722784,0.000035386147,0.000084408246,0.00006948022,0.93871385,0.0119612785,0.0027847404,0.00031219484,0.044475444],"study_design_scores_gemma":[8.261773e-7,0.000005803138,0.00012473157,8.5656546e-7,0.0000014852383,0.0000043693817,0.0000012831645,0.99916494,0.00044280663,0.00021900197,0.000032661694,0.000001279296],"about_ca_topic_score_codex":0.0043712347,"about_ca_topic_score_gemma":0.004594644,"teacher_disagreement_score":0.0043712347,"about_ca_system_score_codex":0.00026657572,"about_ca_system_score_gemma":0.00038668956,"threshold_uncertainty_score":0.008691549},"labels":[],"label_agreement":null},{"id":"W4380082095","doi":"10.3390/en16124610","title":"Current Status and Future Trends of In Situ Catalytic Upgrading of Extra Heavy Oil","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China University of Geosciences; China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Catalysis; Environmental science; In situ; Automatic summarization; Waste management; Petroleum engineering; Nanotechnology; Process engineering; Materials science; Chemistry; Engineering; Computer science","score_opus":0.012572679364284283,"score_gpt":0.26135241682668503,"score_spread":0.24877973746240076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380082095","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":[0.004085429,0.98756486,0.0022717454,0.00090741867,0.00024837768,0.000012454466,0.000076722165,0.000040190553,0.004792788],"genre_scores_gemma":[0.015511557,0.98055285,0.001698915,0.00034389875,0.00020642497,0.000016344726,0.00010876078,0.000008849785,0.0015523115],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999666,0.00005838294,0.000038576953,0.00006838994,0.00011201247,0.00005663597],"domain_scores_gemma":[0.9994425,0.00026255718,0.00010645026,0.000020642821,0.00013090434,0.00003688276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011373911,0.0005868082,0.0007347668,0.0011147201,0.00025478503,0.0012609492,0.0008345986,0.0010611917,0.0039574895],"category_scores_gemma":[0.0008275838,0.0003969315,0.00059813925,0.001265499,0.00047265162,0.0021967376,0.0006442435,0.0009669298,0.0013460912],"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":[0.00021145154,0.00021638154,0.001178297,0.039260633,0.0001175846,0.00046507048,0.00027241276,0.0035186866,0.051365066,0.019489005,0.014810472,0.86909497],"study_design_scores_gemma":[0.000014261615,0.0006221254,0.0015005058,0.0028245798,0.00024654143,0.00096632284,0.0003789933,0.0019145081,0.02590263,0.006280611,0.95928997,0.000059024533],"about_ca_topic_score_codex":0.00090283324,"about_ca_topic_score_gemma":0.001541264,"teacher_disagreement_score":0.0039574895,"about_ca_system_score_codex":0.0005864688,"about_ca_system_score_gemma":0.001090269,"threshold_uncertainty_score":0.013239086},"labels":[],"label_agreement":null},{"id":"W4380536516","doi":"10.3390/en16124686","title":"Back-Analysis of Rock Mass Strength at a Radioactive Waste Disposal Site Using Acoustic Emission Monitoring Data and 3D Numerical Modelling","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap","keywords":"Rock mass classification; Acoustic emission; Geotechnical engineering; Radioactive waste; Geological Strength Index; Geology; Deformation (meteorology); Compressive strength; Modulus; Stress (linguistics); Excavation; Materials science; Composite material; Engineering","score_opus":0.03623220121248007,"score_gpt":0.25935806979404946,"score_spread":0.2231258685815694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380536516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53794235,0.00013676366,0.4564542,0.00013967538,0.000050432685,0.00010663504,0.00031291382,0.0015553728,0.003301697],"genre_scores_gemma":[0.8996023,0.000114529896,0.098873846,0.000024759805,0.000008267507,0.00008574581,0.00022424315,0.00007958822,0.0009867272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997539,0.00002924008,0.0000230105,0.000041888874,0.00013290426,0.000019052413],"domain_scores_gemma":[0.9995234,0.00019355449,0.000062994426,0.0000628129,0.00013566072,0.000021459813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045475853,0.00069009344,0.00043222363,0.0011611572,0.00024151955,0.00082257955,0.0005938423,0.00095976924,0.0009944907],"category_scores_gemma":[0.0014093542,0.00047811586,0.00073590653,0.0005356067,0.00035424583,0.00070282986,0.000507752,0.0004317093,0.0003851277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013100717,0.00017014895,0.016850902,0.00016205377,0.00005630182,0.0003409936,0.00025645242,0.81169635,0.06981395,0.0009079563,0.0002186338,0.09939523],"study_design_scores_gemma":[0.0000048635093,0.000018824685,0.0025269834,0.0000061709848,0.0000074732966,0.000027552001,0.00003319329,0.9908687,0.006145277,0.00013970166,0.00020804751,0.000013285657],"about_ca_topic_score_codex":0.0042820065,"about_ca_topic_score_gemma":0.006635959,"teacher_disagreement_score":0.0042820065,"about_ca_system_score_codex":0.00038535503,"about_ca_system_score_gemma":0.0006787058,"threshold_uncertainty_score":0.008514166},"labels":[],"label_agreement":null},{"id":"W4380630370","doi":"10.3390/en16124665","title":"Enhancing MPPT Performance in Partially Shaded PV Systems under Sensor Malfunctioning with Fuzzy Control","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","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":false,"ca_institutions":"McGill University","funders":"King Saud University","keywords":"Maximum power point tracking; Control theory (sociology); Photovoltaic system; Maximum power principle; Controller (irrigation); Tracking error; Irradiance; Fuzzy logic; Computer science; Power (physics); Convergence (economics); Tracking (education); Shading; Voltage; Control (management); Engineering; Physics; Artificial intelligence; Biology","score_opus":0.012944440124837423,"score_gpt":0.2185529854672038,"score_spread":0.2056085453423664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380630370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8469264,0.00032347877,0.14834888,0.00010358692,0.000029021003,0.000027684404,0.000034037428,0.00038742635,0.0038195152],"genre_scores_gemma":[0.9980348,0.00002702106,0.0017675265,0.0000045612433,0.000001233757,0.0000041689923,0.0000054018265,0.0000016890078,0.00015354838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986935,0.000022417973,0.000009260934,0.000028874027,0.000049467948,0.00002052642],"domain_scores_gemma":[0.99976724,0.000084925225,0.000052360345,0.0000244903,0.000060455546,0.000010577761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025758686,0.00031397425,0.00030371433,0.00017220352,0.00023229446,0.00040315956,0.00028141547,0.0002975616,0.00041078276],"category_scores_gemma":[0.0006495091,0.000096260905,0.00018406622,0.00015476129,0.00018102342,0.00021741109,0.00017797493,0.00023525287,0.00006970001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009468737,0.00018422927,0.0042708223,0.0004177636,0.00008548823,0.0006747817,0.0004979273,0.5943034,0.23916912,0.0015102094,0.0005735526,0.15736572],"study_design_scores_gemma":[0.000015453077,0.00046389218,0.0030567958,0.000010838041,0.000022380316,0.0000790461,0.00005052272,0.96751195,0.028151965,0.0003380033,0.0002885596,0.000010579761],"about_ca_topic_score_codex":0.0022102357,"about_ca_topic_score_gemma":0.0019514322,"teacher_disagreement_score":0.0022102357,"about_ca_system_score_codex":0.00020559867,"about_ca_system_score_gemma":0.00022981522,"threshold_uncertainty_score":0.0043947697},"labels":[],"label_agreement":null},{"id":"W4380991811","doi":"10.3390/en16124751","title":"Assessing Energy Performance and Environmental Impact of Low GWP Vapor Compression Chilled Water Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski; Université du Québec à Montréal","funders":"Université du Québec à Rimouski","keywords":"Refrigerant; Vapor-compression refrigeration; Chiller; Environmental science; Chilled water; Refrigeration; Air conditioning; Greenhouse gas; Global-warming potential; Efficient energy use; Global warming; Water vapor; Montreal Protocol; Process engineering; Environmental engineering; Ozone layer; Ozone; Climate change; Meteorology; Thermodynamics; Engineering; Mechanical engineering; Heat exchanger","score_opus":0.007330145737299201,"score_gpt":0.21313085804041143,"score_spread":0.20580071230311223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380991811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985019,0.00020357042,0.00048031675,0.000009968951,0.000003088443,0.00001293746,0.00020964262,0.000014331789,0.0005643633],"genre_scores_gemma":[0.99899226,0.0001477123,0.00032012776,0.0000038242247,0.0000017416615,0.000010482959,0.0002037522,0.0000059358435,0.00031410783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997178,0.00003239726,0.00001957276,0.00004758833,0.00013521484,0.000047377765],"domain_scores_gemma":[0.99980277,0.000068073925,0.000027613425,0.000012953115,0.00007985189,0.000008697729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030844452,0.00031198043,0.0002711171,0.00049818767,0.00029015893,0.00033051142,0.0003324708,0.00032703165,0.0013746591],"category_scores_gemma":[0.00048929127,0.00008965266,0.00029025687,0.0004768096,0.00018978908,0.0005219255,0.00024365437,0.0002507379,0.00024401682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015196411,0.00025767708,0.039373226,0.0005411334,0.00009212958,0.00031471002,0.00014665806,0.028685449,0.890956,0.00026899506,0.00034379688,0.03750066],"study_design_scores_gemma":[0.000020753187,0.002275938,0.073233,0.000021824884,0.00007243787,0.00011418117,0.0002465314,0.021954263,0.9009197,0.00007649695,0.0010406239,0.000024407678],"about_ca_topic_score_codex":0.003586599,"about_ca_topic_score_gemma":0.0054633305,"teacher_disagreement_score":0.003586599,"about_ca_system_score_codex":0.00043213952,"about_ca_system_score_gemma":0.00018958631,"threshold_uncertainty_score":0.0071314573},"labels":[],"label_agreement":null},{"id":"W4381432871","doi":"10.3390/en16124797","title":"Smart Contract Design in Distributed Energy Systems: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","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 Manitoba; University of Alberta","funders":"Alberta Ingenuity; Canada First Research Excellence Fund; University of Alberta","keywords":"Smart grid; Interoperability; Smart contract; Computer security; Scope (computer science); Scalability; Computer science; Risk analysis (engineering); Audit; Business; Blockchain; Engineering; Database; World Wide Web","score_opus":0.044540191226615095,"score_gpt":0.2947148698053481,"score_spread":0.250174678578733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381432871","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":[0.00026131322,0.99825186,0.00042875163,0.00029898796,0.000081661856,0.00010449881,0.00012768005,0.0000071027475,0.0004381052],"genre_scores_gemma":[0.0034554447,0.99486023,0.0009409795,0.0002858653,0.00004530532,0.00017908575,0.00012531219,0.000006869852,0.000100896774],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9922092,0.0027016771,0.0027290785,0.00053963915,0.0016225274,0.00019783081],"domain_scores_gemma":[0.95011145,0.040966906,0.004469311,0.0008396854,0.0032449365,0.0003676993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008162948,0.0012748878,0.0041417195,0.009049687,0.000685541,0.0029985285,0.0019720278,0.0023336157,0.0053399294],"category_scores_gemma":[0.04270615,0.00093713467,0.0038416479,0.011988155,0.0011053486,0.0037627567,0.0018174725,0.001535051,0.0007010988],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079103884,0.000041341063,0.00037381233,0.7700832,0.0011795571,0.000138714,0.000394435,0.00054308027,0.0001915011,0.0026207406,0.0053697387,0.21898475],"study_design_scores_gemma":[0.00006379676,0.00015662417,0.0011751032,0.8525204,0.004955713,0.0004819933,0.00038651875,0.00020311766,0.00022862082,0.0021574583,0.13762498,0.000045660938],"about_ca_topic_score_codex":0.006448258,"about_ca_topic_score_gemma":0.014683717,"teacher_disagreement_score":0.009049687,"about_ca_system_score_codex":0.0028327047,"about_ca_system_score_gemma":0.01725187,"threshold_uncertainty_score":0.043170273},"labels":[],"label_agreement":null},{"id":"W4381664032","doi":"10.3390/en16134838","title":"A Review of Cybersecurity Concerns for Transactive Energy Markets","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer security; Implementation; Software deployment; Computer science; Transactive memory; Risk analysis (engineering); Internet privacy; Business; Knowledge management; Software engineering","score_opus":0.05018868477068812,"score_gpt":0.33843479101297935,"score_spread":0.28824610624229124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381664032","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":[0.00013219043,0.9975395,0.00022045935,0.00037901034,0.00014895319,0.0000076142405,0.000023442846,0.0000067008386,0.0015420516],"genre_scores_gemma":[0.0009816216,0.9980956,0.00020818604,0.00025651517,0.00010025935,0.000009039396,0.000030258829,0.0000025296729,0.0003160605],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991055,0.00018877542,0.00017181231,0.00012011947,0.00035836603,0.000055275268],"domain_scores_gemma":[0.9941391,0.004120035,0.0006076258,0.00011228066,0.0009148071,0.00010621724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016308856,0.0010646457,0.0013753579,0.0059507983,0.00050999096,0.0017624251,0.00086862716,0.0017549028,0.0045235357],"category_scores_gemma":[0.004948493,0.00054099946,0.00094439136,0.0068997922,0.0007082209,0.0028362276,0.0007634072,0.0016437491,0.0016247784],"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":[0.00006430364,0.00007348827,0.00041479696,0.07935836,0.00019008367,0.00023282584,0.0002870662,0.00089974614,0.00079515757,0.018601945,0.043123644,0.85595846],"study_design_scores_gemma":[0.000009279097,0.000092024755,0.0011646068,0.03677038,0.00026707826,0.00072056643,0.00018853803,0.00015203444,0.0004537317,0.0047920854,0.95535517,0.000034543456],"about_ca_topic_score_codex":0.002192225,"about_ca_topic_score_gemma":0.0034643107,"teacher_disagreement_score":0.0059507983,"about_ca_system_score_codex":0.0013210544,"about_ca_system_score_gemma":0.0034874703,"threshold_uncertainty_score":0.015132785},"labels":[],"label_agreement":null},{"id":"W4381799339","doi":"10.3390/en16134866","title":"Sliding Mode with Equivalent Control for Induction Motor Drive Based on Multi-Pulse VSC","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Universidad Panamericana; Universidad de Guadalajara","keywords":"Control theory (sociology); Induction motor; Motor drive; Total harmonic distortion; Pulse-width modulation; Stationary Reference Frame; Converters; Sliding mode control; Engineering; Power electronics; Voltage source; Torque; Voltage; Computer science; Control (management); Physics; Nonlinear system; Electrical engineering","score_opus":0.026108801104114558,"score_gpt":0.2434721625688161,"score_spread":0.21736336146470153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381799339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05795307,0.0005049116,0.93349224,0.000086181055,0.00011785914,0.00005053555,0.000029981837,0.0006660976,0.007099057],"genre_scores_gemma":[0.965018,0.00023259735,0.031439606,0.000027667029,0.00002388345,0.000050843846,0.000050428982,0.000021183674,0.003135761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999765,0.00004443318,0.000016957169,0.000036982514,0.00012247762,0.000014172379],"domain_scores_gemma":[0.99988484,0.00003161565,0.000021868487,0.000019813138,0.00003701352,0.0000048051893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023332042,0.00027430008,0.00026075912,0.00023737893,0.00014387316,0.0004867458,0.00044482623,0.0002457373,0.0014793003],"category_scores_gemma":[0.0003243301,0.00008334021,0.00023119654,0.00020416499,0.00024782075,0.00027140835,0.00018908606,0.0003679312,0.00019915066],"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":[0.00052832137,0.00024119833,0.0013258093,0.0006342856,0.000104303355,0.00042349834,0.000298546,0.35448664,0.1511726,0.03558741,0.0024177441,0.4527797],"study_design_scores_gemma":[0.00002098847,0.00039196928,0.0007493032,0.000016006032,0.000017000497,0.00008871145,0.000013685854,0.97942126,0.01340317,0.0014805285,0.0043872055,0.0000102566655],"about_ca_topic_score_codex":0.0011608021,"about_ca_topic_score_gemma":0.0011398813,"teacher_disagreement_score":0.0014793003,"about_ca_system_score_codex":0.00024099025,"about_ca_system_score_gemma":0.00018957583,"threshold_uncertainty_score":0.0049487352},"labels":[],"label_agreement":null},{"id":"W4382059475","doi":"10.3390/en16134897","title":"Efficient Management of Energy Consumption of Electric Vehicles Using Machine Learning—A Systematic and Comprehensive Survey","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electricity; Popularity; Energy consumption; Consumption (sociology); Variety (cybernetics); Computer science; Field (mathematics); Order (exchange); Environmental economics; Engineering; Risk analysis (engineering); Artificial intelligence; Machine learning; Industrial engineering; Business; Electrical engineering","score_opus":0.03672707660114196,"score_gpt":0.2754523642978042,"score_spread":0.2387252876966622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382059475","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017182922,0.9355091,0.030297572,0.0014417692,0.0004529364,0.00006359898,0.0004719872,0.00017507952,0.014405104],"genre_scores_gemma":[0.09613891,0.88733035,0.011950124,0.00033353805,0.00068739196,0.00004690622,0.0009485208,0.00005400413,0.0025103036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942905,0.00011325163,0.00008330702,0.00012200671,0.0002105987,0.000041760166],"domain_scores_gemma":[0.99817824,0.0011486226,0.00015572485,0.00007188139,0.00041785877,0.000027663264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096676714,0.00081307406,0.0007557865,0.0031928152,0.00026751496,0.0014053046,0.0006937611,0.0006036378,0.0014911771],"category_scores_gemma":[0.0024472359,0.00029416714,0.000579282,0.0043798885,0.00026954853,0.002063791,0.00042085355,0.0004011809,0.00058217655],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051831692,0.00008828798,0.0064459713,0.011581036,0.00012947788,0.000120310186,0.00014919393,0.009320656,0.0015590341,0.010008607,0.011005767,0.94953996],"study_design_scores_gemma":[0.000026448037,0.00073226384,0.026524104,0.018890014,0.0011382875,0.0017469843,0.0020445052,0.06140057,0.015045032,0.04181147,0.83043635,0.00020398173],"about_ca_topic_score_codex":0.0011922335,"about_ca_topic_score_gemma":0.001308592,"teacher_disagreement_score":0.0031928152,"about_ca_system_score_codex":0.000374168,"about_ca_system_score_gemma":0.0008938578,"threshold_uncertainty_score":0.005112827},"labels":[],"label_agreement":null},{"id":"W4382202416","doi":"10.3390/en16134984","title":"Approaching the Theoretical Maximum Performance of Highly Transparent Thermochromic Windows","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Transition Metal Oxide Nanomaterials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Interreg; Vlaamse regering; Leading Edge Endowment Fund; Interreg Vlaanderen-Nederland; Brightlands Materials Center","keywords":"Glazing; Coating; Materials science; Optoelectronics; Thermochromism; Optics; Modulation (music); Transparency (behavior); Computer science; Nanotechnology; Composite material; Acoustics; Physics","score_opus":0.020799006702203048,"score_gpt":0.23799656272980713,"score_spread":0.21719755602760407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382202416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972438,0.0017108525,0.015303701,0.00015157856,0.000036013393,0.000018944436,0.00012598952,0.00020119846,0.010013668],"genre_scores_gemma":[0.9957782,0.000461263,0.0028243228,0.00001866499,0.0000070448154,0.000012152445,0.000074212374,0.000040842726,0.0007832961],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995285,0.00003086668,0.000014368624,0.000067430214,0.0002313818,0.00012740176],"domain_scores_gemma":[0.9996923,0.00012894742,0.00004126685,0.00002993507,0.00009078122,0.000016816908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048678293,0.00036962383,0.00036779634,0.00023147797,0.00025601595,0.0008595405,0.00042496138,0.00064256793,0.0017455743],"category_scores_gemma":[0.0007677989,0.00018406166,0.00028738266,0.00023509681,0.0004358223,0.0008157347,0.00033420784,0.00060134364,0.0004801798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089142464,0.00001986338,0.00063859986,0.000095030045,0.000011134528,0.00007525407,0.00005397568,0.0030563795,0.99097615,0.00083812553,0.0001753973,0.003970938],"study_design_scores_gemma":[0.000004722182,0.000218562,0.0019056574,0.000016545531,0.000012844303,0.000073004674,0.00004202862,0.009889343,0.9859051,0.00017884861,0.001744111,0.000009292751],"about_ca_topic_score_codex":0.0008103155,"about_ca_topic_score_gemma":0.0010385968,"teacher_disagreement_score":0.0017455743,"about_ca_system_score_codex":0.00043808692,"about_ca_system_score_gemma":0.00018506334,"threshold_uncertainty_score":0.0058395267},"labels":[],"label_agreement":null},{"id":"W4382202485","doi":"10.3390/en16135001","title":"Study of the Effect of Tetrabutylammonium Halide Aqueous Solutions on the Gas Storage of Methane and Carbon Dioxide","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Clathrate hydrate; Adsorption; Methane; Halide; Chemistry; Aqueous solution; Molecule; Hydrate; Inorganic chemistry; Carbon dioxide; Alkyl; Surface tension; Intermolecular force; Physical chemistry; Organic chemistry; Thermodynamics","score_opus":0.012550019544449365,"score_gpt":0.21915895939150543,"score_spread":0.20660893984705606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382202485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822146,0.000497688,0.0005606575,0.0000515814,0.00001275247,0.0000072209737,0.0000688838,0.000018610575,0.00056122243],"genre_scores_gemma":[0.99808264,0.0005104157,0.0010499405,0.000021153368,0.000003984498,0.000012140536,0.000072584975,0.000007750936,0.00023943803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999428,0.0000071193667,0.000003901132,0.000010586885,0.000018705266,0.000016881484],"domain_scores_gemma":[0.9998969,0.000047219884,0.000018949739,0.0000048502748,0.000020059935,0.000012060267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010056113,0.00025177255,0.00027357138,0.0001529081,0.00019323306,0.00025346188,0.00028517572,0.0002459262,0.00086934713],"category_scores_gemma":[0.00028907706,0.00013813667,0.00021069594,0.00015971794,0.0002055628,0.00040446184,0.00023756799,0.00033419064,0.00009254857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006103021,0.00013591912,0.0026244223,0.00042814377,0.00008514862,0.00025373284,0.00014167279,0.02000129,0.96722823,0.00059158716,0.00011854841,0.007781044],"study_design_scores_gemma":[0.000091642185,0.001058253,0.004031351,0.000023996654,0.00008225994,0.00006602766,0.00019705188,0.112727,0.87968874,0.00025623397,0.0017439568,0.000033498993],"about_ca_topic_score_codex":0.0017105817,"about_ca_topic_score_gemma":0.0015801905,"teacher_disagreement_score":0.0017105817,"about_ca_system_score_codex":0.00017519445,"about_ca_system_score_gemma":0.00022716765,"threshold_uncertainty_score":0.0034012794},"labels":[],"label_agreement":null},{"id":"W4382315008","doi":"10.3390/en16104081","title":"A Mycorrhizal Model for Transactive Solar Energy Markets with Battery Storage","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Blueprint; Prosumer; Environmental economics; Resource (disambiguation); Transactive memory; Business; Industrial organization; Environmental resource management; Renewable energy; Ecology; Environmental science; Computer science; Economics; Engineering","score_opus":0.012497595084598424,"score_gpt":0.21151451698679205,"score_spread":0.19901692190219364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382315008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47687343,0.0009214346,0.3935777,0.0046266853,0.0003641131,0.00035898123,0.0036259622,0.0004831468,0.11916858],"genre_scores_gemma":[0.9364648,0.00034445335,0.015463262,0.00022215562,0.00004420914,0.00030502444,0.00028541347,0.00005551799,0.04681514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977416,0.00007248077,0.000013290194,0.000063828404,0.000032879274,0.000043339718],"domain_scores_gemma":[0.9993531,0.00030583784,0.000116567964,0.000036079608,0.00010254313,0.00008594281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074825005,0.00061352126,0.0008907315,0.00050227303,0.00074893737,0.002064961,0.0025089837,0.0030724397,0.016213555],"category_scores_gemma":[0.0016503447,0.00044608483,0.0012974617,0.0006147367,0.0009692361,0.0017848731,0.0013489473,0.0016594478,0.001142159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014437694,0.00009474044,0.0009835878,0.00007229516,0.000034276152,0.00027347624,0.00011932922,0.89445275,0.002553801,0.097832374,0.0012084038,0.0022306524],"study_design_scores_gemma":[0.00004931639,0.000032117332,0.00019880742,0.0000057551306,0.000012419232,0.000019910654,0.000036728536,0.9914948,0.00010366336,0.007130906,0.00090620824,0.000009359458],"about_ca_topic_score_codex":0.02029733,"about_ca_topic_score_gemma":0.017818186,"teacher_disagreement_score":0.02029733,"about_ca_system_score_codex":0.0017020426,"about_ca_system_score_gemma":0.0012455056,"threshold_uncertainty_score":0.05423981},"labels":[],"label_agreement":null},{"id":"W4382459885","doi":"10.3390/en16134960","title":"Energy Efficiency and Optimization Strategies in a Building to Minimize Airborne Infection Risks","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"HVAC; Controller (irrigation); Ventilation (architecture); Energy consumption; Air conditioning; Transmission (telecommunications); Model predictive control; Energy recovery ventilation; Building automation; Efficient energy use; Airflow; Automotive engineering; Environmental science; Simulation; Computer science; Engineering; Control theory (sociology); Control (management); Mechanical engineering; Telecommunications; Electrical engineering; Artificial intelligence","score_opus":0.013392684417442952,"score_gpt":0.24076311360985148,"score_spread":0.22737042919240852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382459885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27538508,0.00084385654,0.69914424,0.00059571204,0.000047533977,0.00015303164,0.00009975123,0.00046083747,0.023269942],"genre_scores_gemma":[0.97837424,0.00017568679,0.019291805,0.00003951443,0.000005707564,0.00006736866,0.000033949476,0.00002318401,0.001988503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977726,0.0000617302,0.000007415494,0.000043200995,0.00005916629,0.00005136247],"domain_scores_gemma":[0.99983084,0.00007277746,0.000029223625,0.0000112146545,0.000041834606,0.000014075575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004183127,0.00078662485,0.00070099765,0.00050333794,0.00039037067,0.0009488889,0.00061052624,0.0006786026,0.0020325312],"category_scores_gemma":[0.0007149673,0.00040605734,0.00046350533,0.00029284105,0.00037262207,0.0007370503,0.0006730895,0.000432135,0.00021855193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024476827,0.000031098814,0.000337368,0.000030205425,0.000015080011,0.000028627857,0.000018307855,0.98846555,0.0022443472,0.0016183536,0.00015923876,0.0070273075],"study_design_scores_gemma":[0.000007755301,0.000048537615,0.00034676676,0.0000055670016,0.000011915033,0.000009200781,0.000024965657,0.99734074,0.0007452676,0.001176436,0.00027842776,0.00000440945],"about_ca_topic_score_codex":0.006697291,"about_ca_topic_score_gemma":0.0058232187,"teacher_disagreement_score":0.006697291,"about_ca_system_score_codex":0.0007717391,"about_ca_system_score_gemma":0.0011099698,"threshold_uncertainty_score":0.013316631},"labels":[],"label_agreement":null},{"id":"W4382726247","doi":"10.3390/en16135013","title":"Molecular Simulation Techniques as Applied to Silica and Carbon-Based Adsorbents for Carbon Capture","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Carbon fibers; Adsorption; Computer science; Nanotechnology; Chemisorption; Mesoporous material; Biochemical engineering; Chemistry; Process engineering; Materials science; Algorithm; Organic chemistry; Engineering; Catalysis","score_opus":0.006986275633217674,"score_gpt":0.23188568467554257,"score_spread":0.2248994090423249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382726247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07215623,0.009533817,0.82262206,0.005735115,0.0011307336,0.0010808619,0.0038371407,0.0020927046,0.08181123],"genre_scores_gemma":[0.27596417,0.019515967,0.68025064,0.0009430919,0.0003477988,0.0037068871,0.0020317403,0.0009913074,0.016248416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996793,0.00011758739,0.000023081047,0.000025457088,0.00012763806,0.000026904305],"domain_scores_gemma":[0.9994697,0.0003298487,0.000033108994,0.00004510843,0.000097363525,0.000024869654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070929417,0.00082080177,0.00093483826,0.00072288053,0.00091625046,0.0011682281,0.0012540412,0.0014593697,0.004400215],"category_scores_gemma":[0.0017589796,0.0005116189,0.001177214,0.0013014036,0.0005770843,0.0008730428,0.0009726134,0.0017396915,0.0008112268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044875924,0.000078622514,0.000698481,0.0007167778,0.000104344115,0.00012822032,0.00018154447,0.82631147,0.0074888347,0.14463453,0.0023290995,0.017283252],"study_design_scores_gemma":[0.00002957577,0.00002929606,0.00022584257,0.00010549635,0.000016050313,0.00003409875,0.000034568875,0.95697844,0.002754811,0.02274213,0.017026646,0.000023100023],"about_ca_topic_score_codex":0.007937363,"about_ca_topic_score_gemma":0.0073842183,"teacher_disagreement_score":0.007937363,"about_ca_system_score_codex":0.0010921437,"about_ca_system_score_gemma":0.0017107397,"threshold_uncertainty_score":0.015782356},"labels":[],"label_agreement":null},{"id":"W4382982340","doi":"10.3390/en16135121","title":"A Power Quality Assessment of Electric Submersible Pumps Fed by Variable Frequency Drives under Normal and Failure Modes","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","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":"Université du Québec à Trois-Rivières","funders":"","keywords":"Harmonics; Pulse-width modulation; Harmonic; Voltage; Control theory (sociology); Engineering; Harmonic analysis; Fundamental frequency; Topology (electrical circuits); Variable-frequency drive; Electric power quality; Power (physics); Electronic engineering; Computer science; Electrical engineering; Physics; Acoustics; Power quality","score_opus":0.012633422491037612,"score_gpt":0.24076807986783808,"score_spread":0.22813465737680047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382982340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33483768,0.00036740184,0.65930015,0.00012650745,0.000029229877,0.000096056574,0.00015779522,0.0005732341,0.0045119156],"genre_scores_gemma":[0.9894847,0.00013392029,0.009448879,0.0000060822076,0.0000061446135,0.000022803875,0.00006815854,0.000010219914,0.0008191174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997619,0.00006891389,0.000011249979,0.00003794834,0.00010487819,0.000015200869],"domain_scores_gemma":[0.9997985,0.000065803215,0.00003692307,0.000021599526,0.00007087495,0.0000062223003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031666932,0.0006890246,0.00043045345,0.0004241489,0.00023330619,0.00052928826,0.00043855343,0.00039614088,0.0007634799],"category_scores_gemma":[0.00071937393,0.00018190204,0.000445096,0.00021071242,0.00020401824,0.00071774586,0.00023817262,0.0002930058,0.00014092206],"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":[0.00020289345,0.000077753975,0.007730456,0.00023280091,0.000057507255,0.00035076143,0.00020883947,0.83740515,0.03977204,0.0039558117,0.00057484634,0.10943118],"study_design_scores_gemma":[0.0000053408266,0.00014323887,0.0027254133,0.000009002736,0.00001482696,0.000058431975,0.000032302578,0.9922984,0.003341473,0.00063213566,0.00073193276,0.000007391648],"about_ca_topic_score_codex":0.0024484782,"about_ca_topic_score_gemma":0.0018983949,"teacher_disagreement_score":0.0024484782,"about_ca_system_score_codex":0.0003699677,"about_ca_system_score_gemma":0.0002310718,"threshold_uncertainty_score":0.0048685074},"labels":[],"label_agreement":null},{"id":"W4382982862","doi":"10.3390/en16135085","title":"Monitoring Technologies for HVDC Transmission Lines","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Manitoba Hydro","funders":"Manitoba Hydro","keywords":"Electric power transmission; HVAC; Transmission (telecommunications); Power transmission; Electrical engineering; Engineering; Transmission system; Computer science; Electric power system; Telecommunications; Power (physics); Mechanical engineering; Air conditioning","score_opus":0.017704050010720226,"score_gpt":0.24057565143038692,"score_spread":0.2228716014196667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382982862","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057121646,0.09322792,0.7567906,0.002551536,0.0012033108,0.00031863162,0.00079494546,0.0016149028,0.086376436],"genre_scores_gemma":[0.6003106,0.096895,0.25081688,0.0010011857,0.0007721645,0.00029683553,0.0008771558,0.00018157292,0.04884859],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99958664,0.00004870141,0.000017985496,0.00009395898,0.00022809344,0.000024655574],"domain_scores_gemma":[0.99964595,0.00009034423,0.0000780544,0.00003400034,0.00013742823,0.000014274004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028960506,0.0004458336,0.0002734444,0.0007076534,0.00028300213,0.0009010856,0.00058161584,0.0006468025,0.0034220796],"category_scores_gemma":[0.0005689226,0.00023372631,0.00023046827,0.000831047,0.00024948907,0.0016616897,0.00040437622,0.00082166493,0.001562237],"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":[0.00012190048,0.000067706016,0.0013235345,0.0018494163,0.00003093334,0.0004993188,0.0002752225,0.004914026,0.53405386,0.019436765,0.012342612,0.42508474],"study_design_scores_gemma":[0.000020866199,0.0005522237,0.003999189,0.00069019763,0.000065096865,0.0029215738,0.00039952682,0.02801416,0.50066686,0.009521763,0.45304212,0.00010629797],"about_ca_topic_score_codex":0.00027356643,"about_ca_topic_score_gemma":0.0003887702,"teacher_disagreement_score":0.0034220796,"about_ca_system_score_codex":0.00044412733,"about_ca_system_score_gemma":0.00018193225,"threshold_uncertainty_score":0.011448026},"labels":[],"label_agreement":null},{"id":"W4383551377","doi":"10.3390/en16135209","title":"Optimized Control of a Hybrid Water Pumping System Integrated with Solar Photovoltaic and Battery Storage: Towards Sustainable and Green Water-Power Supply","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Photovoltaic system; Battery (electricity); Automotive engineering; Water pumping; Energy storage; Maximum power point tracking; Engineering; Power (physics); Electrical engineering; Voltage; Mechanical engineering","score_opus":0.005269443379780529,"score_gpt":0.1939364554848321,"score_spread":0.18866701210505157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383551377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25443456,0.00039561096,0.7320686,0.00016219946,0.000045738423,0.00010826805,0.00009556582,0.00044405437,0.012245369],"genre_scores_gemma":[0.98628694,0.000092714756,0.01122608,0.000012334917,0.0000056940835,0.00005638772,0.000020307187,0.00001087461,0.002288653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998976,0.000019544646,0.00000511092,0.000025353147,0.000037287755,0.000015113363],"domain_scores_gemma":[0.99993527,0.000022443946,0.000015560987,0.0000036771366,0.000019449399,0.0000035149776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019654418,0.0003654334,0.00044980078,0.00014089518,0.0002620931,0.0007166239,0.0003342018,0.00034146575,0.0008451939],"category_scores_gemma":[0.00019512582,0.00020295309,0.00027489068,0.00022910835,0.00027601104,0.0003027222,0.0003121676,0.00022941921,0.00011635856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014015948,0.00006500919,0.00068739225,0.00013765044,0.000051127518,0.00010067687,0.00006377983,0.9234191,0.038581975,0.0025671816,0.0003688624,0.03381711],"study_design_scores_gemma":[0.0000085684915,0.000077654055,0.00028589042,0.0000025203406,0.000009573896,0.000007769913,0.000007511728,0.9964669,0.0024604795,0.00022761652,0.00044206894,0.0000035708567],"about_ca_topic_score_codex":0.0037640866,"about_ca_topic_score_gemma":0.004394785,"teacher_disagreement_score":0.0037640866,"about_ca_system_score_codex":0.00029604574,"about_ca_system_score_gemma":0.00046757355,"threshold_uncertainty_score":0.0074843764},"labels":[],"label_agreement":null},{"id":"W4383552202","doi":"10.3390/en16135206","title":"Review of Cyberattack Implementation, Detection, and Mitigation Methods in Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cyber-physical system; Computer security; Critical infrastructure; Computer science; Risk analysis (engineering); Reliability (semiconductor); Cyber-attack; Component (thermodynamics); Critical infrastructure protection; Business","score_opus":0.012467314426526974,"score_gpt":0.33674303414977175,"score_spread":0.32427571972324476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383552202","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":[0.00045875346,0.99165267,0.0029804623,0.0003667367,0.00048818297,0.00002609918,0.000050270988,0.000036035904,0.0039408174],"genre_scores_gemma":[0.0030461065,0.9933001,0.0019184813,0.00023513884,0.00037471732,0.000021712936,0.00007856517,0.000008810062,0.0010163866],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990779,0.00017428845,0.00016524512,0.00013619252,0.0003890687,0.000057320034],"domain_scores_gemma":[0.9975158,0.0015577051,0.00026964094,0.000088339584,0.00051123207,0.00005730113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011820074,0.0013413324,0.0015368689,0.0030727424,0.0005021332,0.0017054952,0.0014382942,0.0013208928,0.0039142976],"category_scores_gemma":[0.0027247327,0.00063315826,0.001075509,0.0037286226,0.0006521953,0.002740547,0.0006947407,0.0012563092,0.0016990288],"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":[0.00008422714,0.000118019845,0.00058868557,0.06103058,0.00017447941,0.00027570018,0.00024348256,0.004855584,0.0025993402,0.018696466,0.031119343,0.88021404],"study_design_scores_gemma":[0.000010019991,0.00026995665,0.0015529646,0.0153947,0.0002943258,0.0009209056,0.00017619702,0.0019006708,0.0017523298,0.00613482,0.9715226,0.00007063926],"about_ca_topic_score_codex":0.0027703347,"about_ca_topic_score_gemma":0.0026049328,"teacher_disagreement_score":0.0039142976,"about_ca_system_score_codex":0.0009710921,"about_ca_system_score_gemma":0.0025501398,"threshold_uncertainty_score":0.013094604},"labels":[],"label_agreement":null},{"id":"W4383552234","doi":"10.3390/en16135193","title":"Overview of the Potential of Energy Harvesting Sources in Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy (signal processing); Electricity; Electric potential energy; Energy recovery; Automotive engineering; Efficient energy use; Energy harvesting; Energy consumption; Engineering; Computer science; Electrical engineering","score_opus":0.021730227137292696,"score_gpt":0.25643739648816427,"score_spread":0.23470716935087158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383552234","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008775427,0.8215373,0.018697971,0.0016179293,0.00062480837,0.000087351735,0.00018720108,0.00013193555,0.14834008],"genre_scores_gemma":[0.041796792,0.91268945,0.012630771,0.0005535788,0.000536448,0.00006593154,0.00024464645,0.0000305494,0.03145186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985147,0.000022290005,0.000014241256,0.000028368426,0.00006822426,0.000015510748],"domain_scores_gemma":[0.9998419,0.00007176866,0.000012377113,0.000007939655,0.000057739504,0.000008301918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031407934,0.00041456585,0.0003118466,0.0017353351,0.0003481861,0.0014223509,0.00046020543,0.0008010257,0.004697128],"category_scores_gemma":[0.00021373038,0.00034343128,0.00044992706,0.0018077365,0.00024536529,0.0016038525,0.00044836733,0.0006632908,0.0019241953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016016065,0.00018886138,0.0010537062,0.010004033,0.00006582715,0.00054754724,0.00022961677,0.007309826,0.02729887,0.102117926,0.019102823,0.83192074],"study_design_scores_gemma":[0.000004341626,0.00025353066,0.0010510279,0.0015136229,0.00004359556,0.00073328236,0.00016089974,0.0020871349,0.00641107,0.013157491,0.97455424,0.000029697483],"about_ca_topic_score_codex":0.00092803553,"about_ca_topic_score_gemma":0.0011775335,"teacher_disagreement_score":0.004697128,"about_ca_system_score_codex":0.0006617394,"about_ca_system_score_gemma":0.0004902946,"threshold_uncertainty_score":0.015713394},"labels":[],"label_agreement":null},{"id":"W4383695356","doi":"10.3390/en16145252","title":"The Evolution of Crop-Based Materials in the Built Environment: A Review of the Applications, Performance, and Challenges","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Architecture and Computational Design","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Greenhouse gas; Novelty; Environmental impact assessment; Renewable energy; Circular economy; Environmental science; Agriculture; Architectural engineering; Computer science; Engineering; Ecology; Production (economics); Economics","score_opus":0.030222077552539167,"score_gpt":0.24492685306274684,"score_spread":0.21470477551020767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383695356","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":[0.0004630356,0.9979662,0.00021238573,0.00017203654,0.00007452128,0.000004201994,0.000017762346,0.0000038293174,0.0010861012],"genre_scores_gemma":[0.0020083592,0.99714893,0.00028920508,0.0000847357,0.000044156815,0.0000055607525,0.000018840274,0.0000017065034,0.00039849983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975806,0.00004011937,0.00003157079,0.000050663522,0.00009770288,0.000021793374],"domain_scores_gemma":[0.99966323,0.00018815733,0.00004524147,0.000011452283,0.00007798328,0.000013955974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062361057,0.00067345524,0.0008979856,0.0018528848,0.00023735246,0.00088298233,0.0005651512,0.0009176531,0.001935893],"category_scores_gemma":[0.0006081017,0.0004109367,0.0005864531,0.0023520074,0.0003562764,0.001169033,0.00051281607,0.00094050285,0.00087414985],"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":[0.000057485504,0.00011895799,0.0003984782,0.051352415,0.00012970739,0.00021064814,0.00014910888,0.0021412307,0.0081328675,0.016540384,0.011980157,0.9087886],"study_design_scores_gemma":[0.000007848326,0.00017799076,0.0012393018,0.006164333,0.00015313254,0.0006458931,0.00011576702,0.0003868859,0.0027016227,0.00291549,0.9854571,0.000034694618],"about_ca_topic_score_codex":0.0014847959,"about_ca_topic_score_gemma":0.002665495,"teacher_disagreement_score":0.001935893,"about_ca_system_score_codex":0.0005019366,"about_ca_system_score_gemma":0.0009048907,"threshold_uncertainty_score":0.0064762235},"labels":[],"label_agreement":null},{"id":"W4383722855","doi":"10.3390/en16145266","title":"Numerical Study of the Impact of Transverse Ribs on the Energy Potential of Air-Based BIPV/T Envelope Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"British Columbia Institute of Technology; Western University","funders":"","keywords":"Transverse plane; Building-integrated photovoltaics; Overheating (electricity); Airflow; Materials science; Building envelope; Thermal; Heat transfer; Mechanics; Environmental science; Meteorology; Structural engineering; Electrical engineering; Photovoltaic system; Engineering; Mechanical engineering; Physics","score_opus":0.02066918668979289,"score_gpt":0.2449459280103006,"score_spread":0.2242767413205077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383722855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9487111,0.00040111743,0.022565462,0.00034835134,0.00010266682,0.00005364937,0.00053077086,0.0001473553,0.027139543],"genre_scores_gemma":[0.9956879,0.00006799668,0.0025900442,0.000023172177,0.000005744061,0.000024696219,0.000070720605,0.000013003682,0.0015166485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998492,0.000028808889,0.000006695039,0.000019336541,0.000032505817,0.00006344175],"domain_scores_gemma":[0.99958354,0.00022301263,0.000056634653,0.00002978045,0.00006731178,0.00003970634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002841027,0.00032620245,0.0005450472,0.0003601199,0.0006498645,0.0009683039,0.00040410148,0.0011186725,0.0030489536],"category_scores_gemma":[0.0011039954,0.00023767515,0.0005681103,0.00043026474,0.00084152014,0.00044683748,0.0006173089,0.0004647851,0.00025472578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072736446,0.000036719528,0.0018801448,0.000038429513,0.000009492272,0.00012973808,0.000026405847,0.99104756,0.003358733,0.0014162103,0.0002368982,0.0017469759],"study_design_scores_gemma":[0.000013659387,0.000049828202,0.0008330314,0.000008300259,0.000005351022,0.000018670686,0.00005064958,0.9977297,0.0007388894,0.00023416556,0.00031028938,0.000007455952],"about_ca_topic_score_codex":0.011726925,"about_ca_topic_score_gemma":0.006190675,"teacher_disagreement_score":0.011726925,"about_ca_system_score_codex":0.0006547584,"about_ca_system_score_gemma":0.00073550415,"threshold_uncertainty_score":0.023317337},"labels":[],"label_agreement":null},{"id":"W4383911571","doi":"10.3390/en16145289","title":"A Novel Multi-Phase Strategy for Optimizing CO2 Utilization and Storage in an Oil Reservoir","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental 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; Petroleum Technology Research Centre; Geological Survey of Canada; Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Petroleum engineering; Water injection (oil production); Phase (matter); Perforation; Environmental science; Injection well; Enhanced oil recovery; Production rate; Geothermal gradient; Completion (oil and gas wells); Oil production; Wellbore; Geology; Engineering; Process engineering; Chemistry; Mechanical engineering","score_opus":0.13776569922446566,"score_gpt":0.3751857893598151,"score_spread":0.23742009013534945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383911571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34582642,0.0013643992,0.63624644,0.0003286926,0.000110200446,0.00020766494,0.000106282765,0.00035142608,0.015458443],"genre_scores_gemma":[0.960206,0.00018965408,0.037590943,0.0000334988,0.0000062922513,0.00008045162,0.000023556855,0.00002000568,0.001849601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999137,0.000010930906,0.000004433314,0.000019113206,0.000027276792,0.000024491925],"domain_scores_gemma":[0.9999279,0.000022859547,0.000017087976,0.000005583625,0.00001674007,0.000009997764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020576005,0.0005648561,0.00054412585,0.00033778037,0.00029676664,0.00066655903,0.0007362373,0.00080033974,0.0013837472],"category_scores_gemma":[0.00027627457,0.00031215747,0.00040014027,0.00022387695,0.0003320704,0.0007049227,0.0005693321,0.00032894535,0.00015847202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012490893,0.000114490016,0.0007892612,0.00016451476,0.000033781434,0.000320111,0.000049380462,0.89724594,0.06926913,0.0057935934,0.00038793654,0.025706977],"study_design_scores_gemma":[0.000017547338,0.00010676297,0.00013959565,0.000004692873,0.000010228801,0.000033780954,0.000014124,0.9919369,0.006550439,0.00058125786,0.00059522846,0.000009468769],"about_ca_topic_score_codex":0.002234711,"about_ca_topic_score_gemma":0.002279723,"teacher_disagreement_score":0.002234711,"about_ca_system_score_codex":0.00043572503,"about_ca_system_score_gemma":0.00071509817,"threshold_uncertainty_score":0.004629135},"labels":[],"label_agreement":null},{"id":"W4384131436","doi":"10.3390/en16145335","title":"ANN-Based Method for Urban Canopy Temperature Prediction and Building Energy Simulation with Urban Heat Island Effect in Consideration","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Urban Heat Island Mitigation","field":"Environmental 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":true,"ca_institutions":"British Columbia Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Institute of Technology","keywords":"Urban heat island; Environmental science; Energy consumption; Urbanization; Thermal comfort; Canopy; Wind speed; Meteorology; Urban climate; Population; Urban area; Atmospheric sciences; Urban planning; Civil engineering; Geography; Engineering","score_opus":0.005621393086896704,"score_gpt":0.23930986186152675,"score_spread":0.23368846877463004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384131436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27578762,0.0003641665,0.7098785,0.00015699539,0.000091842216,0.00014096078,0.00035589095,0.0015144303,0.011709555],"genre_scores_gemma":[0.9239347,0.00013879877,0.07218011,0.00003440343,0.000012993127,0.00022263818,0.0002756802,0.000052859268,0.003147843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998988,0.000027490525,0.000007901521,0.000024990622,0.000026095808,0.000014704741],"domain_scores_gemma":[0.99975234,0.0001527263,0.0000177444,0.000009407772,0.0000584714,0.000009192944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002778447,0.00064536254,0.00048221197,0.0003474064,0.00040650298,0.00045444,0.00050261617,0.00072797615,0.0018445537],"category_scores_gemma":[0.0007038477,0.00040475285,0.00053076295,0.0005144221,0.00018601688,0.00036786983,0.0003204177,0.0006060049,0.00021716973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011477572,0.000013651679,0.00044524716,0.000010167431,0.000008934975,0.000019722602,0.000008268003,0.99455875,0.00035649133,0.00015362182,0.00007170091,0.0043419804],"study_design_scores_gemma":[6.9559576e-7,0.0000021450433,0.0000660661,6.4425416e-7,7.879022e-7,9.539783e-7,0.000001317863,0.99980384,0.00006133193,0.00003433205,0.000027249382,6.264116e-7],"about_ca_topic_score_codex":0.032219265,"about_ca_topic_score_gemma":0.030429939,"teacher_disagreement_score":0.032219265,"about_ca_system_score_codex":0.0006414112,"about_ca_system_score_gemma":0.0007045678,"threshold_uncertainty_score":0.06406343},"labels":[],"label_agreement":null},{"id":"W4384202061","doi":"10.3390/en16145322","title":"Testing Hypotheses for Geological Controls on Hydraulic-Fracturing-Induced Seismicity in the Montney Formation, Canada","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Microseismic Industry Consortium","keywords":"Induced seismicity; Hydraulic fracturing; Geology; Statistical hypothesis testing; Seismology; Null hypothesis; Geotechnical engineering; Statistics; Mathematics","score_opus":0.0572410284821836,"score_gpt":0.23237096631898926,"score_spread":0.17512993783680567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384202061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862206,0.000016550848,0.0006832101,0.000040099243,0.0000013091218,0.000013557012,0.00023883472,0.00001503799,0.00036938954],"genre_scores_gemma":[0.99926454,0.000008939261,0.00031272447,0.000005169529,9.2206784e-7,0.0000031307563,0.00033516026,0.0000023384082,0.00006708885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849904,0.00031486966,0.00009922944,0.00039577414,0.00035610638,0.00033497284],"domain_scores_gemma":[0.99227273,0.0046814326,0.000998308,0.00038073678,0.001106874,0.0005599922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022918514,0.00040960673,0.00034037046,0.00071410526,0.00095234055,0.0011672515,0.0012376928,0.0003922313,0.00095543324],"category_scores_gemma":[0.012042825,0.00021988209,0.00064127764,0.000978248,0.002195769,0.00046585832,0.0007332968,0.00045312743,0.0000557045],"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":[0.0005094482,0.00010324554,0.88859737,0.000033484223,0.00028735935,0.0003802528,0.00059686246,0.0934135,0.003480565,0.0024830713,0.00047550004,0.009639227],"study_design_scores_gemma":[0.00005421146,0.000081555154,0.7636561,0.000013988134,0.000065516775,0.000042134732,0.00087267946,0.2326167,0.0014852305,0.0006925976,0.00038566513,0.00003371084],"about_ca_topic_score_codex":0.9293637,"about_ca_topic_score_gemma":0.92002714,"teacher_disagreement_score":0.07063627,"about_ca_system_score_codex":0.010686985,"about_ca_system_score_gemma":0.012974686,"threshold_uncertainty_score":0.14210445},"labels":[],"label_agreement":null},{"id":"W4384202126","doi":"10.3390/en16145329","title":"Planning and Evaluation of Nuclear-Renewable Hybrid Energy Penetration for Marine and Waterfront Applications","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental 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":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Renewable energy; Environmental economics; Port (circuit theory); Cash flow; Energy planning; Net present value; Energy consumption; Carbon tax; Internal rate of return; Business; Fossil fuel; Natural resource economics; Greenhouse gas; Engineering; Economics; Waste management; Production (economics); Finance","score_opus":0.017583471020555845,"score_gpt":0.2510527541452518,"score_spread":0.23346928312469595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384202126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92404276,0.00029672554,0.035925783,0.00020105485,0.000018903638,0.00067277666,0.00092097826,0.00017967285,0.037741244],"genre_scores_gemma":[0.9915024,0.00011700357,0.0060267723,0.000008071736,0.0000012130043,0.000100746765,0.0001662742,0.000012453307,0.0020651845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995735,0.00021354164,0.000013692045,0.000039802315,0.00008772018,0.00007173045],"domain_scores_gemma":[0.99923396,0.00044827416,0.000058372454,0.000033405973,0.00017212535,0.00005383793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011241388,0.0006719992,0.00043459883,0.0009473225,0.0003732158,0.0014680051,0.0006467251,0.00067718234,0.005442888],"category_scores_gemma":[0.0019748923,0.00048404164,0.0005696771,0.0008742827,0.00038108643,0.0013359211,0.0004734148,0.00048392446,0.00035583886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017317497,0.00011332867,0.002990542,0.00007052478,0.000019385496,0.00012431061,0.000015760084,0.9823283,0.0014960156,0.0015875971,0.0001762164,0.010904815],"study_design_scores_gemma":[0.000042018717,0.00079951255,0.0042296676,0.000028732537,0.000045056553,0.000028843011,0.00023615152,0.9873333,0.0045066266,0.0014885839,0.0012438515,0.000017609736],"about_ca_topic_score_codex":0.013149965,"about_ca_topic_score_gemma":0.016589988,"teacher_disagreement_score":0.013149965,"about_ca_system_score_codex":0.0018703083,"about_ca_system_score_gemma":0.0013775292,"threshold_uncertainty_score":0.026146889},"labels":[],"label_agreement":null},{"id":"W4384341589","doi":"10.3390/en16145360","title":"Microstructure and First Hydrogenation Properties of Ti16V60Cr24−xFex + 4 wt.% Zr Alloy for x = 0, 4, 8, 12, 16, 20, 24","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Laves phase; Microstructure; Alloy; Hydrogen storage; Materials science; Vanadium; Lattice constant; Context (archaeology); Hydrogen; Zirconium alloy; Phase (matter); Solid solution; Crystallography; X-ray crystallography; Diffraction; Metallurgy; Chemistry; Intermetallic; Physics","score_opus":0.02296350815511206,"score_gpt":0.2284992306765346,"score_spread":0.20553572252142255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384341589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984571,0.00047014313,0.00016228083,0.000012259014,0.0000073027313,0.0000040557534,0.00017628945,0.000017656212,0.0006930218],"genre_scores_gemma":[0.99810994,0.00016290252,0.00023344347,0.0000052349606,0.0000027891497,0.0000057987127,0.00021942389,0.000009013588,0.0012514446],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999045,0.0000050179783,0.0000050383965,0.000020997066,0.000041940275,0.000022539327],"domain_scores_gemma":[0.999931,0.0000062595045,0.000021858616,0.000005437346,0.000027557664,0.000008013438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011637398,0.00020202674,0.00018286688,0.00026680098,0.00018705863,0.00027812374,0.0002678513,0.00022179353,0.001178827],"category_scores_gemma":[0.00017620281,0.00019044492,0.00016190912,0.00022102849,0.00019644808,0.00016685679,0.00011324809,0.00013373156,0.00019182159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022027892,0.000013109955,0.001522546,0.00007917195,0.000011632589,0.00010324501,0.000065341126,0.00047398408,0.9951597,0.00010071014,0.00008502874,0.0021652025],"study_design_scores_gemma":[0.000015909962,0.0004189343,0.03386511,0.00000812627,0.00002180511,0.00017414975,0.00010644586,0.002009239,0.9614319,0.000032590964,0.0019028225,0.000013015485],"about_ca_topic_score_codex":0.0035433623,"about_ca_topic_score_gemma":0.0035439953,"teacher_disagreement_score":0.0035433623,"about_ca_system_score_codex":0.000449712,"about_ca_system_score_gemma":0.00012806398,"threshold_uncertainty_score":0.0070455074},"labels":[],"label_agreement":null},{"id":"W4384525799","doi":"10.3390/en16145406","title":"An In-Depth Analysis of Strength and Stiffness Variability in 3D-Printed Sandstones: Implications for Geomechanics","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Compressive strength; Anisotropy; Geology; Stiffness; Geotechnical engineering; 3d printed; Materials science; Composite material; Engineering","score_opus":0.012084967736283831,"score_gpt":0.2526887867677188,"score_spread":0.24060381903143493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384525799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97825605,0.00031288367,0.02028623,0.000028291157,0.000007763814,0.000009199074,0.00035260426,0.000101009864,0.00064595375],"genre_scores_gemma":[0.9931518,0.00013853196,0.00621563,0.000011714529,0.0000044024687,0.000006946178,0.00019133148,0.000015816388,0.00026389345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973005,0.000026676997,0.000020387282,0.0000648234,0.00013850362,0.000019613663],"domain_scores_gemma":[0.9991392,0.00028265113,0.00019972671,0.00013434104,0.00021540442,0.00002871188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003568575,0.00024437398,0.00025948163,0.000901053,0.0001605302,0.00044560924,0.00023758248,0.00029243177,0.0004240836],"category_scores_gemma":[0.0009212905,0.00016991259,0.0003264837,0.0007346639,0.0002968416,0.0003152003,0.00022790853,0.00026497224,0.000112664835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104395695,0.00005825576,0.07646139,0.0002413048,0.000108392655,0.00036416572,0.00051579514,0.010928875,0.86088735,0.0003509284,0.00016314302,0.049816027],"study_design_scores_gemma":[0.000004684462,0.0002411872,0.657912,0.000026428383,0.00013018868,0.0010159388,0.0005516604,0.064735904,0.2720965,0.0005875848,0.0026263925,0.000071491566],"about_ca_topic_score_codex":0.0012802498,"about_ca_topic_score_gemma":0.0025382906,"teacher_disagreement_score":0.0012802498,"about_ca_system_score_codex":0.00017399283,"about_ca_system_score_gemma":0.00014800011,"threshold_uncertainty_score":0.0025455952},"labels":[],"label_agreement":null},{"id":"W4384557496","doi":"10.3390/en16145396","title":"Case Studies for Supplying the Alternating Current Auxiliary Systems of Substations with a Voltage Equal to or Higher than 230 kV","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Agência Nacional de Energia Elétrica; Eletrobras; Fundação Parque Tecnológico Itaipu; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade de Pernambuco; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Photovoltaic system; Reliability (semiconductor); Alternating current; Voltage; Reliability engineering; Battery (electricity); Transmission (telecommunications); Transmission system; Automotive engineering; Electrical engineering; Power (physics); Computer science; Engineering; Physics","score_opus":0.11394474301131435,"score_gpt":0.37517395490093863,"score_spread":0.2612292118896243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384557496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94917864,0.0003086933,0.03015784,0.0002625346,0.000060382034,0.00036851232,0.00055058824,0.00017631153,0.018936541],"genre_scores_gemma":[0.9873081,0.0001723389,0.009148281,0.000022344875,0.000009081868,0.000062082305,0.0001450702,0.000020753936,0.003111955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"case_report","domain_scores_codex":[0.99926966,0.00035900137,0.000035942252,0.000057824676,0.00018884371,0.000088715635],"domain_scores_gemma":[0.99842405,0.0008978487,0.000113844515,0.00012621452,0.0003316594,0.00010632486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054509245,0.0006555011,0.00038825648,0.0005967251,0.0008400092,0.00065566326,0.0008884726,0.0013585815,0.0040297993],"category_scores_gemma":[0.0019935851,0.00021096531,0.0005685401,0.0008274383,0.0004225262,0.0007466727,0.00049758377,0.0006345048,0.0005457293],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027021838,0.0020867828,0.05632219,0.0022347488,0.0003615504,0.042705655,0.0027357223,0.6650131,0.0693577,0.020479193,0.01477877,0.12122247],"study_design_scores_gemma":[0.0009606481,0.0060497564,0.046849933,0.00033896614,0.0006094865,0.016681252,0.012262756,0.67059934,0.14790198,0.014122569,0.08338529,0.00023800961],"about_ca_topic_score_codex":0.0043811384,"about_ca_topic_score_gemma":0.00952392,"teacher_disagreement_score":0.0043811384,"about_ca_system_score_codex":0.0008117329,"about_ca_system_score_gemma":0.00042494904,"threshold_uncertainty_score":0.0134810805},"labels":[],"label_agreement":null},{"id":"W4384929977","doi":"10.3390/en16145493","title":"A Systematic Heat Recovery Approach for Designing Integrated Heating, Cooling, and Ventilation Systems for Greenhouses","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pinch analysis; Heat exchanger; Heat recovery ventilation; Greenhouse; Process engineering; Ventilation (architecture); Environmental science; Heat pump; Process integration; Thermal energy storage; Energy recovery; Passive cooling; Hybrid heat; Engineering; Waste heat; Mechanical engineering; Energy (signal processing); Heat transfer; Mathematics; Thermodynamics","score_opus":0.02743871054566015,"score_gpt":0.22693746424260794,"score_spread":0.19949875369694778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384929977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013877592,0.00019177549,0.9828987,0.000022738712,0.00000874768,0.00017523984,0.00003403259,0.00019189752,0.0025993874],"genre_scores_gemma":[0.24943487,0.00034080772,0.74822855,0.00002447447,0.000008548798,0.0005954067,0.00009096153,0.00005644424,0.0012199586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955505,0.00013344611,0.000021284673,0.00007374896,0.00018064905,0.00003578398],"domain_scores_gemma":[0.99976176,0.00010340602,0.00003786118,0.00003126395,0.00005872079,0.0000069523794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069950015,0.0010610056,0.00054303056,0.0008900117,0.0004045208,0.0005737104,0.00076815055,0.00048132867,0.0014738734],"category_scores_gemma":[0.0007593293,0.00053553696,0.0009506163,0.00037697895,0.0005195106,0.00050143804,0.00042695424,0.0005155403,0.00023287014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005304979,0.00012776656,0.0009753214,0.0007939606,0.00008443131,0.00010407972,0.00017506907,0.78510344,0.09150402,0.010800263,0.00042005343,0.10985861],"study_design_scores_gemma":[0.0000578299,0.0011019729,0.0021566693,0.0001180503,0.0001527313,0.00024795608,0.00018499709,0.93217236,0.041801672,0.008199025,0.013755377,0.00005130075],"about_ca_topic_score_codex":0.0013735618,"about_ca_topic_score_gemma":0.0033234118,"teacher_disagreement_score":0.0014738734,"about_ca_system_score_codex":0.0004808295,"about_ca_system_score_gemma":0.0013919306,"threshold_uncertainty_score":0.0049306154},"labels":[],"label_agreement":null},{"id":"W4385161886","doi":"10.3390/en16145539","title":"Empowering Tomorrow’s Problem Solvers: Nexus Thinking and CLEWs Modelling as a Pedagogical Approach to Wicked Problems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Foreign, Commonwealth and Development Office; Government of the United Kingdom","keywords":"Nexus (standard); Interdependence; Enabling; Computational thinking; Systems thinking; Engineering ethics; Computer science; Work (physics); Mathematics education; Management science; Knowledge management; Sociology; Pedagogy; Engineering; Psychology; Artificial intelligence; Social science","score_opus":0.06574782408544197,"score_gpt":0.28002109532319175,"score_spread":0.21427327123774978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385161886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09274126,0.0024953894,0.6966551,0.053031683,0.0007444733,0.0006638839,0.00010598414,0.0006179551,0.15294428],"genre_scores_gemma":[0.5628893,0.0036676154,0.40272918,0.005818593,0.00018262271,0.0010469328,0.00017190995,0.00021049193,0.023283387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947319,0.0038579777,0.00014289263,0.00039077282,0.0005343391,0.00034215432],"domain_scores_gemma":[0.99272776,0.005318413,0.00039293664,0.00051030813,0.00036830627,0.00068230205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068372344,0.0008900711,0.00043613647,0.0013102383,0.0022100727,0.008222823,0.0022807037,0.0027103492,0.006233211],"category_scores_gemma":[0.008861507,0.00044181317,0.00086428743,0.0011018646,0.009226698,0.008529543,0.008754268,0.005316619,0.0012019308],"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":[0.00004915486,0.00059783075,0.003497476,0.00088578754,0.000042850206,0.00081313896,0.12508005,0.007083804,0.0033099889,0.71592045,0.017510613,0.12520885],"study_design_scores_gemma":[0.000046453864,0.00013636114,0.0014642242,0.0011322543,0.000026571448,0.0007809817,0.05787235,0.018790798,0.002837842,0.56887174,0.34795934,0.00008099744],"about_ca_topic_score_codex":0.0014258852,"about_ca_topic_score_gemma":0.0034483531,"teacher_disagreement_score":0.008222823,"about_ca_system_score_codex":0.0028040654,"about_ca_system_score_gemma":0.004574998,"threshold_uncertainty_score":0.036159158},"labels":[],"label_agreement":null},{"id":"W4385278381","doi":"10.3390/en16155596","title":"Performance Assessment of Horizontal Ground Heat Exchangers under a Greenhouse in Quebec, Canada","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Urban Heat Island Mitigation","field":"Environmental Science","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Greenhouse; Greenhouse gas; Environmental science; Heat exchanger; Climate change; Global warming; Environmental engineering; Meteorology; Engineering; Geology; Geography; Mechanical engineering","score_opus":0.01061395050071267,"score_gpt":0.21784004192494325,"score_spread":0.20722609142423057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385278381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993079,0.000094085786,0.0016217079,0.00007061661,0.000011440272,0.000051814513,0.00045696113,0.00014665406,0.0044676387],"genre_scores_gemma":[0.9976738,0.00004273682,0.00063671696,0.000012019715,8.747534e-7,0.000011096675,0.00025323976,0.000008401843,0.0013611473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99968743,0.000035967056,0.000008727841,0.00006603069,0.00007675577,0.0001251737],"domain_scores_gemma":[0.99954695,0.00011688427,0.000027921918,0.00002557406,0.00022098896,0.00006167544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058222236,0.0008207822,0.00038002976,0.00033150514,0.0014064005,0.00096396473,0.0008770846,0.0005162664,0.0025938076],"category_scores_gemma":[0.00052825327,0.00026214382,0.0005399586,0.00040097957,0.0007203402,0.00047118112,0.0003617833,0.00036671295,0.00023708762],"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":[0.00070087065,0.00029359868,0.055655144,0.00017624097,0.0000761735,0.00046732754,0.00020110121,0.89815897,0.02454444,0.0007376472,0.0020612737,0.016927266],"study_design_scores_gemma":[0.00012816484,0.00064057985,0.07019141,0.000026318381,0.00008482514,0.0000604347,0.00076186866,0.91186714,0.013456595,0.00014590086,0.0025686745,0.00006798895],"about_ca_topic_score_codex":0.87187475,"about_ca_topic_score_gemma":0.90214694,"teacher_disagreement_score":0.87187475,"about_ca_system_score_codex":0.011982643,"about_ca_system_score_gemma":0.0048978953,"threshold_uncertainty_score":0.25775957},"labels":[],"label_agreement":null},{"id":"W4385319080","doi":"10.3390/en16155611","title":"A Distributed Control Scheme for Cyber-Physical DC Microgrid Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Johannesburg","keywords":"Microgrid; Voltage droop; Distributed generation; Robustness (evolution); Control theory (sociology); Controller (irrigation); Computer science; Voltage; Scheme (mathematics); Engineering; Control (management); Voltage source; Electrical engineering","score_opus":0.00601370402964015,"score_gpt":0.19939672788926208,"score_spread":0.19338302385962192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385319080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010196004,0.000361321,0.9796159,0.00017831461,0.00024241052,0.000094565985,0.000043123175,0.00048039368,0.008788076],"genre_scores_gemma":[0.93492085,0.0003608948,0.05850292,0.0000904219,0.000102609876,0.00018817598,0.00007148126,0.000023838486,0.0057387208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998307,0.000028507426,0.000012717967,0.000050791296,0.0000624768,0.0000147489345],"domain_scores_gemma":[0.99986243,0.000017410794,0.00001817115,0.000023526583,0.000067000365,0.000011494418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002466116,0.00047139605,0.00033525133,0.00025467476,0.00045667187,0.000625482,0.0007021045,0.0002971389,0.0024936209],"category_scores_gemma":[0.00036683568,0.00010093032,0.0002493844,0.00026165938,0.0003508633,0.00042869,0.0005859349,0.0005005219,0.0003580842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029492233,0.0001487537,0.00050592487,0.00060156314,0.00007332741,0.00034220968,0.0003144878,0.45202434,0.07172075,0.089175165,0.007840627,0.37695798],"study_design_scores_gemma":[0.00005548886,0.00027508108,0.00025651185,0.000024637033,0.000022725722,0.00012115976,0.000026985608,0.96761304,0.0072153974,0.008199725,0.016171252,0.000017886241],"about_ca_topic_score_codex":0.0011458227,"about_ca_topic_score_gemma":0.0010785423,"teacher_disagreement_score":0.0024936209,"about_ca_system_score_codex":0.0003418848,"about_ca_system_score_gemma":0.0003918318,"threshold_uncertainty_score":0.008341968},"labels":[],"label_agreement":null},{"id":"W4385421360","doi":"10.3390/en16155697","title":"Life Cycle Assessment of Bioenergy Production Using Wood Pellets: A Case Study of Remote Communities in Canada","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","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":true,"ca_institutions":"École Nationale d'Administration Publique; Université du Québec à Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Life-cycle assessment; Pellets; Waste management; Renewable energy; Pelletizing; Bioenergy; Biomass (ecology); Combustion; Fossil fuel; Diesel fuel; Environmental engineering; Biofuel; Raw material; Engineering; Production (economics); Chemistry; Ecology; Materials science","score_opus":0.022930667184914336,"score_gpt":0.24986818140445416,"score_spread":0.22693751421953984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385421360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949903,0.00023144009,0.00055084884,0.000045944624,0.0000018978302,0.00011627289,0.0012139519,0.000012618095,0.0028367522],"genre_scores_gemma":[0.99478525,0.00036178587,0.0015357186,0.00001853486,0.0000010461182,0.000029766832,0.0010503643,0.0000073481738,0.0022101866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996406,0.000028649793,0.00001013738,0.000047149017,0.00013657927,0.00013686885],"domain_scores_gemma":[0.9995134,0.00008446641,0.000040851988,0.000014766262,0.00027322603,0.00007329421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036283972,0.0006886005,0.00035984706,0.0014637364,0.0019683111,0.0012076217,0.00086616713,0.00040869793,0.0010398593],"category_scores_gemma":[0.00055228174,0.0002062653,0.0007297425,0.0032182673,0.0006101874,0.0003033451,0.0005378731,0.0003399129,0.000100721685],"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":[0.0012935164,0.0012912351,0.51700413,0.0009980784,0.00044503785,0.008080655,0.0036380878,0.34009144,0.026863948,0.0045033386,0.0031652567,0.09262528],"study_design_scores_gemma":[0.00010937349,0.0010022534,0.7092204,0.00017642773,0.00035458678,0.00062258396,0.022236833,0.23613717,0.015238105,0.0011725836,0.013522132,0.00020745961],"about_ca_topic_score_codex":0.98221093,"about_ca_topic_score_gemma":0.9915314,"teacher_disagreement_score":0.027946573,"about_ca_system_score_codex":0.027946573,"about_ca_system_score_gemma":0.014120801,"threshold_uncertainty_score":0.20276755},"labels":[],"label_agreement":null},{"id":"W4385498241","doi":"10.3390/en16155761","title":"Role of a Unitized Regenerative Fuel Cell in Remote Area Power Supply: A Review","year":2023,"lang":"en","type":"review","venue":"Energies","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":"University of Ottawa","funders":"","keywords":"Unitized regenerative fuel cell; Proton exchange membrane fuel cell; Renewable energy; Regenerative fuel cell; Photovoltaic system; Hydrogen fuel; Process engineering; Solar energy; Power to gas; Automotive engineering; Engineering; Fuel cells; Electrical engineering; Electrolysis; Chemistry","score_opus":0.03667950884406364,"score_gpt":0.29182258276133094,"score_spread":0.2551430739172673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385498241","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":[0.00028110927,0.99696654,0.0003272704,0.00016800487,0.00018838799,0.0000057176126,0.000029386018,0.000007914837,0.0020257412],"genre_scores_gemma":[0.0014249209,0.9972301,0.00033148908,0.00011367044,0.000095588555,0.000006272663,0.000039280865,0.000002078562,0.00075650925],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998473,0.000020661306,0.000019918754,0.000037736445,0.000058752306,0.000015618374],"domain_scores_gemma":[0.99976534,0.00011524259,0.0000342007,0.0000071828454,0.00006461597,0.000013440505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039335186,0.00067569216,0.0008649605,0.0016868879,0.0002565506,0.00096150505,0.00067424576,0.00088438427,0.0040534968],"category_scores_gemma":[0.0005313782,0.00028735335,0.0005377034,0.0022407998,0.0002552263,0.0014860719,0.000486943,0.00096123305,0.0016780916],"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":[0.000048329537,0.00006759791,0.0002130519,0.033411734,0.00009325441,0.00023122417,0.000068424015,0.000912353,0.0041413773,0.007591867,0.020587528,0.93263334],"study_design_scores_gemma":[0.000004387722,0.00008019608,0.0003574937,0.00259985,0.000089017616,0.00059374,0.000041699877,0.00017458646,0.0009865259,0.0011646543,0.99389243,0.000015477159],"about_ca_topic_score_codex":0.0010718585,"about_ca_topic_score_gemma":0.0016845922,"teacher_disagreement_score":0.0040534968,"about_ca_system_score_codex":0.00038088538,"about_ca_system_score_gemma":0.0009163255,"threshold_uncertainty_score":0.013560295},"labels":[],"label_agreement":null},{"id":"W4385543422","doi":"10.3390/en16155781","title":"Reverse Water Gas Shift versus Carbon Dioxide Electro-Reduction: The Reaction Pathway Responsible for Carbon Monoxide Production in Solid Oxide Co-Electrolysis Cells","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Enersense, Norway","keywords":"Electrolysis; Carbon monoxide; Water-gas shift reaction; Chemistry; Electrolysis of water; Chemical engineering; Polymer electrolyte membrane electrolysis; Steam reforming; High-temperature electrolysis; Hydrogen production; Inorganic chemistry; Carbon dioxide; Electrochemical reduction of carbon dioxide; Oxide; Polarization (electrochemistry); Hydrogen; Catalysis; Organic chemistry; Electrode; Physical chemistry","score_opus":0.019313873885032126,"score_gpt":0.2777162018642852,"score_spread":0.25840232797925305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385543422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97716856,0.0014310565,0.01674421,0.00018793426,0.000046703954,0.000042738367,0.00014922277,0.0001436617,0.004085943],"genre_scores_gemma":[0.9958105,0.00067237683,0.0025930943,0.000020890047,0.0000062156523,0.000011484677,0.00006819281,0.000013289796,0.0008040297],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989235,0.0000042394154,0.000005001039,0.000028200053,0.00005354304,0.00001661314],"domain_scores_gemma":[0.99992275,0.000031211926,0.000012927667,0.0000058759965,0.000018868286,0.000008405922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001375195,0.00025682346,0.0002856195,0.00023280688,0.00021672563,0.00058680674,0.00036731805,0.00037339423,0.00077951385],"category_scores_gemma":[0.00031170723,0.00016564725,0.000167674,0.00022078691,0.00031381685,0.000581948,0.00018952937,0.0004995665,0.00026814287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006459135,0.000030014977,0.0006524472,0.00011976771,0.000005609469,0.000078034005,0.000028305036,0.0010232233,0.99217683,0.0009188709,0.000055770513,0.0048465817],"study_design_scores_gemma":[0.0000039915476,0.000045018674,0.000979937,0.0000038242524,0.0000050526273,0.000036669204,0.000024713267,0.010910496,0.9869578,0.00023083844,0.00079686707,0.0000047553117],"about_ca_topic_score_codex":0.00065438595,"about_ca_topic_score_gemma":0.0014411076,"teacher_disagreement_score":0.00077951385,"about_ca_system_score_codex":0.00034858033,"about_ca_system_score_gemma":0.00028003738,"threshold_uncertainty_score":0.0026077032},"labels":[],"label_agreement":null},{"id":"W4385636471","doi":"10.3390/en16155836","title":"A Comprehensive Analysis on the Influence of the Adopted Cumulative Peak Current Distribution in the Assessment of Overhead Lines Lightning Performance","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kinectrics (Canada)","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lightning (connector); Tower; Electric power transmission; Cumulative distribution function; Environmental science; Transmission line; Overhead (engineering); Meteorology; Monte Carlo method; Statistics; Computer science; Mathematics; Electrical engineering; Probability density function; Engineering; Telecommunications; Physics; Power (physics); Structural engineering","score_opus":0.01762378101245586,"score_gpt":0.2873132765856856,"score_spread":0.26968949557322974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385636471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79635555,0.001782199,0.1945889,0.00005633085,0.00002288463,0.00008764322,0.00044715026,0.0005209039,0.0061384803],"genre_scores_gemma":[0.991295,0.0004506128,0.0077230325,0.000008005391,0.000010464145,0.000011323354,0.00015495837,0.000027504011,0.00031899355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993766,0.0001929945,0.000027656777,0.000069336704,0.00029290895,0.00004055374],"domain_scores_gemma":[0.99766636,0.0013439079,0.00022353216,0.0002407249,0.0004901173,0.00003535467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011983213,0.00048702632,0.0003250089,0.00094802637,0.00020660598,0.00066332426,0.00032071536,0.00042126037,0.00045239757],"category_scores_gemma":[0.0034805357,0.00013210457,0.00035534275,0.00071963586,0.00021654487,0.0005462822,0.00022940584,0.00021225783,0.00013875397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023251421,0.000103879735,0.085293256,0.00031377104,0.00015064953,0.00040441228,0.00012665545,0.7288119,0.030585261,0.0018519228,0.0005250989,0.15160061],"study_design_scores_gemma":[0.000012001621,0.0007769482,0.19210342,0.00012954115,0.000246167,0.0007741399,0.00028173314,0.7669258,0.033686142,0.0012665943,0.003723152,0.00007430746],"about_ca_topic_score_codex":0.002482017,"about_ca_topic_score_gemma":0.0028487446,"teacher_disagreement_score":0.002482017,"about_ca_system_score_codex":0.00041385763,"about_ca_system_score_gemma":0.0003382178,"threshold_uncertainty_score":0.0063374043},"labels":[],"label_agreement":null},{"id":"W4385707781","doi":"10.3390/en16165887","title":"Robust Electro-Thermal Modeling of Lithium-Ion Batteries for Electrified Vehicles Applications","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Thermal runaway; Battery (electricity); Voltage; State of charge; Automotive engineering; Thermal; Electric vehicle; Range (aeronautics); Lithium-ion battery; Waveform; Computer science; Electrical engineering; Simulation; Engineering; Power (physics); Aerospace engineering","score_opus":0.03253195962046676,"score_gpt":0.26295496042149147,"score_spread":0.2304230008010247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385707781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0716964,0.0014671355,0.90892214,0.00028729817,0.0000899974,0.00008726391,0.00047168482,0.00083939655,0.016138693],"genre_scores_gemma":[0.97504574,0.00092017354,0.015651368,0.00005977462,0.000028850314,0.00016326823,0.00044239764,0.00010019142,0.0075883274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998274,0.00003375506,0.0000116615665,0.000036355497,0.000073285286,0.000017519127],"domain_scores_gemma":[0.9998659,0.000044106106,0.000023474626,0.000015538939,0.00004653631,0.000004436498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029575994,0.0007951008,0.00062045717,0.00034158022,0.00023712717,0.00085120904,0.0009699987,0.0006809131,0.0014272219],"category_scores_gemma":[0.00066920754,0.00035002857,0.0008338574,0.00032335203,0.0003073206,0.0007571201,0.0005105963,0.0005102501,0.00056437956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000196092,0.000009960677,0.00030265716,0.000034913664,0.0000135876,0.000037668106,0.00001762718,0.9912847,0.0025687653,0.0008931261,0.00021991391,0.004597518],"study_design_scores_gemma":[0.0000011130784,0.0000072950115,0.00009975145,0.0000026121438,0.0000031361214,0.0000061118403,0.0000035407988,0.9988256,0.0004636943,0.00027937835,0.00030515302,0.0000025801337],"about_ca_topic_score_codex":0.0065727998,"about_ca_topic_score_gemma":0.0047826995,"teacher_disagreement_score":0.0065727998,"about_ca_system_score_codex":0.00049288396,"about_ca_system_score_gemma":0.00052243914,"threshold_uncertainty_score":0.013069093},"labels":[],"label_agreement":null},{"id":"W4385740605","doi":"10.3390/en16165902","title":"Extensive Analysis of a Reinvigorated Solar Water Heating System Using Low-Density Polyethylene Glazing","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic 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":"University of Ottawa","funders":"VIT University","keywords":"Low-density polyethylene; Glazing; Solar energy; Exergy efficiency; Environmental science; Exergy; Photovoltaic thermal hybrid solar collector; Environmental engineering; Materials science; Polyethylene; Nuclear engineering; Process engineering; Composite material; Engineering; Electrical engineering","score_opus":0.023666655524203377,"score_gpt":0.2445394649878118,"score_spread":0.2208728094636084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385740605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975616,0.000070586946,0.0016390943,0.000010526409,0.0000036841425,0.00002805204,0.00011729712,0.00005522887,0.00051392434],"genre_scores_gemma":[0.9989643,0.00003801673,0.00050151034,0.0000025600223,7.177764e-7,0.000010670911,0.000055081404,0.000006019889,0.00042107844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981743,0.000030089748,0.000009704559,0.000037910908,0.00007393404,0.000031008654],"domain_scores_gemma":[0.99986064,0.00005792988,0.000020110407,0.0000149733605,0.00003864552,0.000007616681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025965166,0.0004014196,0.00065346423,0.00035973216,0.00036814171,0.00033169484,0.00037809467,0.0003422507,0.00078850886],"category_scores_gemma":[0.00023031978,0.00017777446,0.00048419373,0.00029242758,0.00026819628,0.00035537576,0.00016855806,0.0002255479,0.00016167494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010183294,0.00039170822,0.015221676,0.00091141014,0.00014501157,0.0011398332,0.00034980418,0.2604102,0.6871382,0.00039733946,0.0005407152,0.03233584],"study_design_scores_gemma":[0.00010224478,0.003745788,0.05964714,0.000028472668,0.00017095539,0.00021189592,0.0004772756,0.50113124,0.43178803,0.00023683411,0.0024077946,0.000052423915],"about_ca_topic_score_codex":0.002764401,"about_ca_topic_score_gemma":0.0029263145,"teacher_disagreement_score":0.002764401,"about_ca_system_score_codex":0.00044426473,"about_ca_system_score_gemma":0.00023915681,"threshold_uncertainty_score":0.005496621},"labels":[],"label_agreement":null},{"id":"W4385759475","doi":"10.3390/en16165941","title":"Large-Eddy Simulation of Utility-Scale Wind Farm Sited over Complex Terrain","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wind power; Terrain; Drag; Wind shear; Environmental science; Turbine; Large eddy simulation; Roughness length; Meteorology; Wind gradient; Wind speed; Marine engineering; Turbulence kinetic energy; Drag coefficient; Wind profile power law; Wake; Surface roughness; Renewable energy; Wind direction; Geology; Turbulence; Engineering; Aerospace engineering; Geography; Physics","score_opus":0.02449118051454925,"score_gpt":0.27560993651209026,"score_spread":0.251118755997541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385759475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938691,0.000029337887,0.0041672024,0.0000748221,0.000011299034,0.000018950292,0.00011943477,0.000075910335,0.0016339105],"genre_scores_gemma":[0.9979443,0.000016885399,0.0015928786,0.0000117529535,0.000002367649,0.000013362088,0.00009095341,0.000009940463,0.000317477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999908,0.000022612263,0.000008859701,0.000013807289,0.000019424697,0.000027294382],"domain_scores_gemma":[0.99943787,0.00029871947,0.000059312613,0.0000432317,0.00008057872,0.00008029022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026311737,0.000318783,0.00046390935,0.00029851575,0.00043122208,0.00051734125,0.0005104085,0.0007425701,0.00097323576],"category_scores_gemma":[0.0009587288,0.00021049957,0.0003761467,0.00042732153,0.000493938,0.00047595613,0.00034465746,0.00043881856,0.0000882615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092999515,0.000139064,0.007117212,0.000019087784,0.000023776347,0.00015155897,0.000042633947,0.98764193,0.0028531565,0.00044148508,0.00020437945,0.0012727509],"study_design_scores_gemma":[0.00001910839,0.000029441384,0.001749489,0.0000017182435,0.0000029919324,0.000006480367,0.00003069172,0.99768543,0.0003130302,0.00010515069,0.000052705545,0.0000037792727],"about_ca_topic_score_codex":0.014481221,"about_ca_topic_score_gemma":0.010283073,"teacher_disagreement_score":0.014481221,"about_ca_system_score_codex":0.0004824104,"about_ca_system_score_gemma":0.0005111071,"threshold_uncertainty_score":0.028793871},"labels":[],"label_agreement":null},{"id":"W4385949467","doi":"10.3390/en16166030","title":"Supporting Decision Making for Building Decarbonization: Developing Surrogate Models for Multi-Criteria Building Retrofitting Analysis","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Excellence Research Chairs, Government of Canada","keywords":"Retrofitting; Feature selection; Greenhouse gas; Surrogate model; Computer science; Multivariate adaptive regression splines; Kriging; Efficient energy use; Carbon footprint; Mathematical optimization; Engineering; Machine learning; Linear regression; Mathematics; Bayesian multivariate linear regression","score_opus":0.04168658828584603,"score_gpt":0.33936392915753844,"score_spread":0.2976773408716924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385949467","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":[0.048741087,0.00069235027,0.94547695,0.00042515062,0.000057462014,0.000074829615,0.0002558998,0.00020029875,0.004076039],"genre_scores_gemma":[0.8882878,0.0006518052,0.1078375,0.00014334067,0.000048754933,0.00032309775,0.0005396435,0.00006372538,0.002104412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999305,0.00033936495,0.00003957477,0.00007941732,0.00016160485,0.000074938755],"domain_scores_gemma":[0.9976757,0.0016194043,0.00022231968,0.000099393095,0.0003279023,0.00005532117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002232232,0.0009677076,0.0011794588,0.0006598595,0.00031899338,0.0016913796,0.0011135293,0.0015568628,0.0015263],"category_scores_gemma":[0.0048898957,0.00047916817,0.0015328104,0.0007743657,0.0005481518,0.000900168,0.0010132577,0.0015339333,0.0002543496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013155773,0.000014435624,0.00037121086,0.000027719554,0.000014058549,0.000019560663,0.000009021425,0.9935981,0.0002442483,0.0021740634,0.00011083064,0.0034035924],"study_design_scores_gemma":[0.000001575932,0.000008591198,0.00005581974,0.000005944165,0.0000020487116,0.0000032464347,0.0000028968443,0.99873596,0.00009829808,0.0009535758,0.00012978009,0.0000023205405],"about_ca_topic_score_codex":0.004797072,"about_ca_topic_score_gemma":0.0026847546,"teacher_disagreement_score":0.004797072,"about_ca_system_score_codex":0.0006280904,"about_ca_system_score_gemma":0.0012122205,"threshold_uncertainty_score":0.011805356},"labels":[],"label_agreement":null},{"id":"W4385986793","doi":"10.3390/en16166056","title":"Sand-Carrying Law and Influencing Factors in Complex Fractures of Nano-Clean Fracturing Fluid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Chinese Academy of Engineering; Henan Polytechnic University; China Postdoctoral Science Foundation; State Key Laboratory Cultivation Base for Gas Geology and Gas Control; National Natural Science Foundation of China","keywords":"Fracturing fluid; Coalbed methane; Petroleum engineering; Hydraulic fracturing; Geology; Fluid dynamics; Fracture (geology); Filtration (mathematics); Geotechnical engineering; Mechanics; Engineering; Coal mining; Coal; Waste management","score_opus":0.012790115229654963,"score_gpt":0.2361954439587264,"score_spread":0.22340532872907146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385986793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687535,0.00008618941,0.03033639,0.000024369545,0.000003181692,0.000023371771,0.00004380749,0.00007502849,0.0006540635],"genre_scores_gemma":[0.9982986,0.000045209363,0.0014113773,0.000002522711,8.0940555e-7,0.000007292345,0.00002316212,0.000004048572,0.00020704267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974304,0.000022884198,0.000019692412,0.000055199354,0.0001217529,0.000037457907],"domain_scores_gemma":[0.99950945,0.00017331366,0.00015435135,0.000036794514,0.00010410512,0.000021995578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029572356,0.00036201463,0.00022565397,0.00085267756,0.00026697095,0.00035828067,0.0003230713,0.00032050294,0.00035602378],"category_scores_gemma":[0.0011594606,0.00026571323,0.0004983969,0.00032491688,0.0005239849,0.0006338931,0.00031802774,0.00025233752,0.000054802033],"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":[0.00015474243,0.00010753137,0.14667965,0.00016548438,0.00005848627,0.00056186,0.00028430292,0.63146603,0.18651552,0.003318963,0.00018349606,0.030503916],"study_design_scores_gemma":[0.0000075867233,0.00006811636,0.035061516,0.0000068436807,0.000023308592,0.00010024111,0.00010590813,0.9186204,0.044902842,0.00081539963,0.00024946575,0.00003846739],"about_ca_topic_score_codex":0.013837928,"about_ca_topic_score_gemma":0.009313302,"teacher_disagreement_score":0.013837928,"about_ca_system_score_codex":0.0006513992,"about_ca_system_score_gemma":0.00060224073,"threshold_uncertainty_score":0.027514756},"labels":[],"label_agreement":null},{"id":"W4386029709","doi":"10.3390/en16166074","title":"Quantifying Global Greenhouse Gas Emissions in Human Deaths to Guide Energy Policy","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Greenhouse gas; Global warming; Natural resource economics; Climate change; Fossil fuel; Tonne; Work (physics); Environmental science; Order (exchange); Metric (unit); Climate change mitigation; Scale (ratio); Economics; Geography; Engineering; Ecology; Operations management","score_opus":0.09487399790124601,"score_gpt":0.39286019759436713,"score_spread":0.2979861996931211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386029709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10777376,0.0564086,0.52667904,0.04701865,0.0028557724,0.0015566173,0.026898764,0.0016066348,0.22920214],"genre_scores_gemma":[0.77842575,0.038712375,0.16412562,0.0020862853,0.0004087562,0.0006826108,0.0056082015,0.00020197793,0.00974847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982905,0.0010347229,0.00010480666,0.0001389602,0.00029457346,0.00013643774],"domain_scores_gemma":[0.9972875,0.0014837057,0.00032574544,0.00014259022,0.00069836166,0.00006214879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049779387,0.0014959944,0.00069814787,0.004100523,0.0005432863,0.0028133767,0.0010998977,0.0015510294,0.005372051],"category_scores_gemma":[0.010085944,0.00029990243,0.0009253254,0.0038749382,0.00084093906,0.003660728,0.00150089,0.0014195397,0.0012106126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020930402,0.00022729792,0.04068428,0.0023555025,0.0003954144,0.00017269657,0.00045079854,0.45240772,0.0022234914,0.22808291,0.03337203,0.23941857],"study_design_scores_gemma":[0.000044339886,0.00033486058,0.06389333,0.0050235656,0.00041246065,0.0002233786,0.008562484,0.19579418,0.0076718107,0.489134,0.22860505,0.0003005363],"about_ca_topic_score_codex":0.020005517,"about_ca_topic_score_gemma":0.034737054,"teacher_disagreement_score":0.020005517,"about_ca_system_score_codex":0.004720591,"about_ca_system_score_gemma":0.004341663,"threshold_uncertainty_score":0.039778173},"labels":[],"label_agreement":null},{"id":"W4386168744","doi":"10.3390/en16176183","title":"Strategic Analysis of the Renewable Electricity Transition: Power to the World without Carbon Emissions?","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Renewable energy; Fossil fuel; Natural resource economics; Feed-in tariff; Climate change mitigation; Energy subsidies; Energy security; Greenhouse gas; Carbon neutrality; Electricity; Energy transition; Climate change; Renewable fuels; Economics; Energy policy; Engineering; Waste management; Ecology","score_opus":0.01948792239896516,"score_gpt":0.2852943317772587,"score_spread":0.26580640937829353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386168744","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":[0.11461169,0.12928043,0.032284588,0.16743645,0.0020599416,0.00028526847,0.0009190121,0.00009091675,0.55303174],"genre_scores_gemma":[0.93356675,0.046537276,0.004686654,0.0069588623,0.00032019863,0.00012158028,0.00036257785,0.000038947328,0.007407105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99740016,0.001475276,0.00008481712,0.00016326553,0.0005181991,0.00035837552],"domain_scores_gemma":[0.9972488,0.0018861113,0.0002620196,0.000068011504,0.00028820673,0.00024683715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028658407,0.00046530817,0.0004589715,0.003125967,0.0018222356,0.00798586,0.000705212,0.0016531227,0.0074238],"category_scores_gemma":[0.005316904,0.00018776357,0.0006471642,0.005217343,0.003484714,0.009305005,0.0026812102,0.002330996,0.00047576497],"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":[0.000030400843,0.000041907017,0.001883958,0.0015253883,0.00008396656,0.00042376926,0.001968155,0.0030886375,0.00020542448,0.9444866,0.010165924,0.036095783],"study_design_scores_gemma":[0.000017439961,0.00005867509,0.0034534254,0.0032861663,0.00013109493,0.00025788005,0.0229215,0.004221924,0.00043984797,0.7556036,0.2095652,0.000043248252],"about_ca_topic_score_codex":0.0065663895,"about_ca_topic_score_gemma":0.011110104,"teacher_disagreement_score":0.00798586,"about_ca_system_score_codex":0.0056438027,"about_ca_system_score_gemma":0.008257052,"threshold_uncertainty_score":0.04094881},"labels":[],"label_agreement":null},{"id":"W4386220238","doi":"10.3390/en16176209","title":"Low-Cost Passivated Al Front Contacts for III-V/Ge Multijunction Solar Cells","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"solar cell performance 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":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Suns in alchemy; Ohmic contact; Optoelectronics; Materials science; Saturation current; Solar cell; Passivation; Triple junction; Annealing (glass); Layer (electronics); Nanotechnology; Electrical engineering; Voltage; Composite material","score_opus":0.009707991169943357,"score_gpt":0.20652896081191838,"score_spread":0.196820969641975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386220238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97420055,0.0029952188,0.017526597,0.00012397744,0.00007722303,0.00006110872,0.00035380025,0.00034280962,0.0043186923],"genre_scores_gemma":[0.9836324,0.00080852216,0.012594208,0.00002167167,0.000016125552,0.000023245211,0.00015741875,0.000045706864,0.002700639],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984753,0.000008621634,0.000009828025,0.000028396355,0.00008312029,0.00002261495],"domain_scores_gemma":[0.99990475,0.000017318229,0.000024404691,0.000018409544,0.000027130072,0.000007903219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008600722,0.00030249255,0.00031352197,0.00025734655,0.00022347283,0.00066160597,0.00063317764,0.00041467845,0.0013730328],"category_scores_gemma":[0.0001891921,0.00020281594,0.00022852934,0.00028746325,0.000108006716,0.0003582351,0.00020591021,0.00042864706,0.00065812736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033923614,0.000023116076,0.00025156827,0.00007777369,0.000006738167,0.000073747025,0.000017398816,0.00069130753,0.99393964,0.00014307923,0.000114341405,0.004627373],"study_design_scores_gemma":[0.0000066523116,0.00014782824,0.0015985309,0.0000060679145,0.000012426554,0.00010296324,0.000017552953,0.0030423761,0.99312156,0.0000479385,0.0018905707,0.000005528847],"about_ca_topic_score_codex":0.00076412334,"about_ca_topic_score_gemma":0.0027352662,"teacher_disagreement_score":0.0013730328,"about_ca_system_score_codex":0.0003511628,"about_ca_system_score_gemma":0.00015969297,"threshold_uncertainty_score":0.0045931935},"labels":[],"label_agreement":null},{"id":"W4386223800","doi":"10.3390/en16176208","title":"Smart Urban Wind Power Forecasting: Integrating Weibull Distribution, Recurrent Neural Networks, and Numerical Weather Prediction","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Numerical weather prediction; Weibull distribution; Wind speed; Wind power forecasting; Meteorology; Wind power; Computer science; Mean squared error; Renewable energy; Probabilistic forecasting; Nowcasting; Environmental science; Electric power system; Power (physics); Artificial intelligence; Engineering; Statistics; Mathematics; Geography","score_opus":0.011436513616275828,"score_gpt":0.19926503525618763,"score_spread":0.18782852163991182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386223800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55088043,0.0015339337,0.4324079,0.0014437918,0.00028131343,0.000056463665,0.0005748221,0.0030024673,0.009818941],"genre_scores_gemma":[0.98318946,0.00019103804,0.015241927,0.00005971511,0.000035839745,0.0000103888515,0.00022480114,0.000024374334,0.0010223464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991596,0.000016812539,0.0000039673796,0.000022810798,0.000021379852,0.000019129151],"domain_scores_gemma":[0.9998505,0.000048616017,0.000022380553,0.0000143698535,0.0000490111,0.000015137981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033631752,0.0006391086,0.00031425332,0.00036284473,0.0001637118,0.00048997015,0.0005998765,0.00033361954,0.00051116676],"category_scores_gemma":[0.0007914456,0.00019832939,0.00029281483,0.00040358736,0.0001636325,0.00063718576,0.00031788708,0.00046920052,0.00016903238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006698109,0.000055283253,0.0046160547,0.000017365099,0.00006226538,0.000062014056,0.000024597812,0.92816585,0.0015523977,0.00087814714,0.0010224326,0.06347667],"study_design_scores_gemma":[8.0352834e-7,0.00000313645,0.0003152993,8.545198e-7,0.0000024281537,0.0000015483422,0.0000019148158,0.99932194,0.00013526418,0.00015317548,0.00006205888,0.0000016056526],"about_ca_topic_score_codex":0.073323146,"about_ca_topic_score_gemma":0.08338407,"teacher_disagreement_score":0.073323146,"about_ca_system_score_codex":0.00073216244,"about_ca_system_score_gemma":0.0006512862,"threshold_uncertainty_score":0.14579266},"labels":[],"label_agreement":null},{"id":"W4386246494","doi":"10.3390/en16176285","title":"Advancing a New Generation of Sustainability-Based Assessments for Electrical Energy Systems: Ontario as an Illustrative Application—A Review","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sustainability; Context (archaeology); Process (computing); Electricity; Work (physics); Risk analysis (engineering); Social sustainability; Environmental economics; Environmental resource management; Computer science; Business; Systems engineering; Engineering; Ecology; Environmental science; Economics; Geography","score_opus":0.02179479758245478,"score_gpt":0.3328611812622569,"score_spread":0.3110663836798021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386246494","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":[0.0021263512,0.95569414,0.0061719073,0.008268783,0.0006908073,0.00009714441,0.00020674178,0.00003890591,0.02670515],"genre_scores_gemma":[0.02756267,0.9567453,0.008667175,0.0013177339,0.00023941715,0.000050638584,0.00018035411,0.000023399765,0.005213235],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974896,0.00037863388,0.00019174117,0.00015399286,0.0016098279,0.00017636907],"domain_scores_gemma":[0.9939896,0.0016091453,0.00034288922,0.00012902444,0.0037013467,0.00022793103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041507687,0.0010323707,0.00080630067,0.008487727,0.0015769161,0.0032928514,0.0016070765,0.0013434163,0.0016978291],"category_scores_gemma":[0.0047640563,0.00047717383,0.00062541285,0.016208392,0.0032996563,0.00312567,0.001309466,0.0014151199,0.0003273199],"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":[0.00003694378,0.0000535826,0.0037290142,0.021826006,0.00008270379,0.0005639648,0.0038805376,0.005586525,0.0018899258,0.11164202,0.06603197,0.78467673],"study_design_scores_gemma":[0.0000025487418,0.000023410405,0.003445706,0.0059725237,0.000055929297,0.00017141449,0.001079876,0.0007397063,0.00032056464,0.00620496,0.9819411,0.000042338404],"about_ca_topic_score_codex":0.7977614,"about_ca_topic_score_gemma":0.91349757,"teacher_disagreement_score":0.20223862,"about_ca_system_score_codex":0.046135925,"about_ca_system_score_gemma":0.055251267,"threshold_uncertainty_score":0.40685928},"labels":[],"label_agreement":null},{"id":"W4386283539","doi":"10.3390/en16176306","title":"In Situ Combustion: A Comprehensive Review of the Current State of Knowledge","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combustion; Enhanced oil recovery; Current (fluid); Petroleum engineering; Environmental science; Biochemical engineering; Process engineering; Computer science; Engineering; Chemistry","score_opus":0.047873945635975815,"score_gpt":0.3431710514721606,"score_spread":0.2952971058361848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386283539","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":[0.00030551082,0.9975822,0.00028171294,0.00018088838,0.000119753684,0.000008405182,0.00007133614,0.000009579084,0.0014404862],"genre_scores_gemma":[0.0012881083,0.99773103,0.00031853543,0.00010415514,0.00006278906,0.000007597342,0.00006756344,0.0000027793303,0.00041741197],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960214,0.00005679391,0.00007975338,0.00008335507,0.0001415217,0.00003638986],"domain_scores_gemma":[0.99892175,0.00062929373,0.00016743106,0.00002804243,0.00021801294,0.000035475467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009020847,0.0009108181,0.0013538097,0.0040451544,0.00036318856,0.0014276446,0.0008954953,0.00094699266,0.005301646],"category_scores_gemma":[0.0015200835,0.0004286289,0.0009631329,0.00436872,0.00035350432,0.0018088794,0.000665506,0.0009843169,0.0015076179],"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":[0.00007045909,0.000099111596,0.00039103773,0.13919808,0.00018604279,0.0002460235,0.0001885175,0.00088648364,0.004092034,0.005881766,0.018593708,0.8301668],"study_design_scores_gemma":[0.0000056235835,0.00012788638,0.0008979539,0.016035696,0.0003711974,0.00069427653,0.00016162035,0.00016372914,0.0016210995,0.00148428,0.97840655,0.00003001964],"about_ca_topic_score_codex":0.001769918,"about_ca_topic_score_gemma":0.0032656172,"teacher_disagreement_score":0.005301646,"about_ca_system_score_codex":0.00055742485,"about_ca_system_score_gemma":0.0024718964,"threshold_uncertainty_score":0.01773578},"labels":[],"label_agreement":null},{"id":"W4386372591","doi":"10.3390/en16176348","title":"A Comprehensive Review on Transient Recovery Voltage in Power Systems: Models, Standardizations and Analysis","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Siemens (Canada)","funders":"Universidade Federal de Santa Maria; Agência Nacional de Energia Elétrica; Universidade Federal do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Transient (computer programming); Circuit breaker; Interrupt; Electric power system; Transient recovery voltage; Voltage; Overvoltage; SIGNAL (programming language); Engineering; Electrical engineering; Fault (geology); Computer science; Transient voltage suppressor; Electronic engineering; Power (physics); Reliability engineering; Switched-mode power supply; Physics; Transmission (telecommunications); Constant power circuit","score_opus":0.03642233946731481,"score_gpt":0.2947753372166901,"score_spread":0.25835299774937526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386372591","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":[0.00026732677,0.99470466,0.0014423474,0.00027686838,0.0002979596,0.000013201787,0.000103971004,0.00003303752,0.002860614],"genre_scores_gemma":[0.0017214708,0.99601513,0.0010474015,0.000103235456,0.00022529911,0.000013917011,0.00012442625,0.000008285663,0.00074089866],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963844,0.00006770266,0.00006133366,0.00006796816,0.00014297024,0.000021522685],"domain_scores_gemma":[0.9989312,0.00064765336,0.00012042033,0.0000464252,0.00022698962,0.0000273116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008000775,0.0013101009,0.0013860526,0.0035308194,0.00034170153,0.0014982969,0.0011789752,0.0010889648,0.0054539233],"category_scores_gemma":[0.0018888535,0.00046272614,0.00091432704,0.005911231,0.00039879754,0.0026074527,0.00063573575,0.001080645,0.0022611711],"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":[0.00005080156,0.00009206144,0.0004280228,0.06238137,0.00015680354,0.0002123276,0.00021511913,0.0037326654,0.0016363154,0.01762179,0.047453467,0.86601925],"study_design_scores_gemma":[0.0000056241074,0.00008331252,0.0007755223,0.0111869965,0.00024944643,0.00045527716,0.00010697499,0.00066673383,0.00065155077,0.006154351,0.9796266,0.000037689526],"about_ca_topic_score_codex":0.002253665,"about_ca_topic_score_gemma":0.0027929116,"teacher_disagreement_score":0.0054539233,"about_ca_system_score_codex":0.00070606906,"about_ca_system_score_gemma":0.0022974582,"threshold_uncertainty_score":0.01824516},"labels":[],"label_agreement":null},{"id":"W4386418060","doi":"10.3390/en16176361","title":"Importance of Microalgae and Municipal Waste in Bioenergy Products Hierarchy—Integration of Biorefineries for Microalgae and Municipal Waste Processing: A Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Algal biology and biofuel production","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Biorefinery; Context (archaeology); Bioenergy; Renewable energy; Biomass (ecology); Municipal solid waste; Engineering; Biochemical engineering; Biofuel; Resource (disambiguation); Environmental economics; Waste management; Computer science; Ecology","score_opus":0.06355793267427358,"score_gpt":0.3244502395993861,"score_spread":0.26089230692511256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386418060","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":[0.00020918867,0.99878854,0.0001518938,0.00018488514,0.00011605544,0.0000022636705,0.000011063209,0.0000030662238,0.00053300674],"genre_scores_gemma":[0.0011478694,0.9982132,0.00019196374,0.00012418542,0.00007615195,0.0000029088394,0.000016233646,0.000001259492,0.00022634004],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977297,0.000037301535,0.000041758365,0.00004632181,0.000081051825,0.000020652284],"domain_scores_gemma":[0.9994531,0.00030777804,0.00009308466,0.000012160453,0.000104269755,0.000029637009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005543444,0.0006896914,0.0011176969,0.0021386386,0.00030059772,0.0015453913,0.00046742897,0.00093726773,0.0017139096],"category_scores_gemma":[0.00068070454,0.0002892527,0.0006343642,0.0035918392,0.00043418264,0.0015600162,0.00063217425,0.0011313565,0.0005735702],"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":[0.000068265836,0.00009343362,0.0004357246,0.062618725,0.00019511572,0.0003174626,0.00025827365,0.00096090796,0.005617961,0.010629114,0.01498468,0.90382034],"study_design_scores_gemma":[0.000004986965,0.00011717022,0.0011010856,0.008725515,0.00026685104,0.00073611946,0.0001853233,0.0001760907,0.0012323504,0.0029198786,0.98450863,0.000025953472],"about_ca_topic_score_codex":0.0013739824,"about_ca_topic_score_gemma":0.002740384,"teacher_disagreement_score":0.0021386386,"about_ca_system_score_codex":0.00050713046,"about_ca_system_score_gemma":0.0016012401,"threshold_uncertainty_score":0.0057335496},"labels":[],"label_agreement":null},{"id":"W4386419932","doi":"10.3390/en16176385","title":"From Lab to Fab: Development and Deployment of Direct Air Capture of CO2","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Environment Canada; Environment and Climate Change Canada","keywords":"Software deployment; Scalability; Incentive; Process engineering; Efficient energy use; Computer science; Environmental economics; Environmental science; Engineering; Electrical engineering","score_opus":0.00844541923025995,"score_gpt":0.19865207362487036,"score_spread":0.1902066543946104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386419932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53506035,0.03461713,0.31522673,0.005335464,0.0013832911,0.0016374193,0.0037174402,0.0069617573,0.096060395],"genre_scores_gemma":[0.70910126,0.016680757,0.24523282,0.0011677925,0.00011599158,0.00066192856,0.003792538,0.0005448595,0.022702124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920136,0.00007551708,0.000022376178,0.00012959103,0.00037200635,0.0001991216],"domain_scores_gemma":[0.9995931,0.000024289737,0.000029589473,0.00005900855,0.00017186944,0.00012225773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015020124,0.00064817123,0.0003804225,0.0008727122,0.00053782767,0.0012835939,0.00088289106,0.001064843,0.0024446785],"category_scores_gemma":[0.0007981437,0.00024514337,0.0006319703,0.0006523364,0.0003716392,0.0010826524,0.0010816024,0.0012185978,0.0028082512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004194164,0.00057415327,0.0037054073,0.0012092431,0.000060666272,0.0011359387,0.0005824559,0.0041951705,0.5723722,0.008026849,0.014107343,0.39361116],"study_design_scores_gemma":[0.00008534388,0.0017050212,0.0051446524,0.00025802423,0.00008930427,0.0016534477,0.00048132485,0.0074010403,0.6992068,0.0016219899,0.2822526,0.00010049687],"about_ca_topic_score_codex":0.003778722,"about_ca_topic_score_gemma":0.0039185514,"teacher_disagreement_score":0.003778722,"about_ca_system_score_codex":0.0010440686,"about_ca_system_score_gemma":0.0021093716,"threshold_uncertainty_score":0.008178294},"labels":[],"label_agreement":null},{"id":"W4386420470","doi":"10.3390/en16176359","title":"An Incentive-Based Mechanism to Enhance Energy Trading among Microgrids, EVs, and Grid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Microgrid; Grid; Incentive; Revenue; Computer science; Energy storage; Environmental economics; Automotive engineering; Reliability engineering; Business; Power (physics); Engineering; Microeconomics; Economics; Finance","score_opus":0.0032030270822661776,"score_gpt":0.20275355193992498,"score_spread":0.19955052485765878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386420470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055162016,0.00036858107,0.931219,0.0008710077,0.000261306,0.0003771039,0.00010407437,0.0005281644,0.011108743],"genre_scores_gemma":[0.9198516,0.00016659852,0.07669743,0.00012973703,0.00007545299,0.00019372914,0.000039120983,0.00001942161,0.0028269545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989492,0.0004381452,0.000061662555,0.0001753966,0.000226118,0.00014941298],"domain_scores_gemma":[0.9980971,0.00083855836,0.0003624936,0.0001901305,0.00030753753,0.00020403512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024972921,0.0008314236,0.0008481058,0.0005981606,0.000574307,0.0012220208,0.00256393,0.0014045701,0.003663519],"category_scores_gemma":[0.0048383465,0.00036276504,0.00058966107,0.00059751415,0.00063985336,0.002500991,0.0018163612,0.001167078,0.0003436515],"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":[0.00045549628,0.0009169786,0.0020486712,0.00034274315,0.0001321271,0.0006270593,0.00015893008,0.6576808,0.017031195,0.2038149,0.0050450587,0.11174609],"study_design_scores_gemma":[0.00010771169,0.00027191156,0.00036673524,0.00002452187,0.000029129329,0.0001701037,0.000027175483,0.96923023,0.001993346,0.02353342,0.0042161844,0.000029608429],"about_ca_topic_score_codex":0.0007131443,"about_ca_topic_score_gemma":0.0008949238,"teacher_disagreement_score":0.003663519,"about_ca_system_score_codex":0.00075492484,"about_ca_system_score_gemma":0.0018684542,"threshold_uncertainty_score":0.013207078},"labels":[],"label_agreement":null},{"id":"W4386457369","doi":"10.3390/en16176410","title":"Water-Cut Measurement Techniques in Oil Production and Processing—A Review","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Computer science; Process engineering; Remote sensing; Environmental science; Systems engineering; Engineering; Geology; Power (physics)","score_opus":0.016014434625783662,"score_gpt":0.22010046528329189,"score_spread":0.20408603065750822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386457369","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":[0.00081177516,0.9901202,0.005783388,0.0002569626,0.00035678447,0.000020324069,0.00004072678,0.000033006214,0.0025768988],"genre_scores_gemma":[0.0051695737,0.9875295,0.0052347872,0.00020191606,0.00040303837,0.000027955562,0.00007192209,0.000015390662,0.0013459286],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920624,0.00008953238,0.000085880696,0.00017327379,0.0004033611,0.00004180321],"domain_scores_gemma":[0.99857175,0.00079355604,0.00017336287,0.000052385192,0.0003732952,0.000035644814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012974852,0.0012662925,0.0012228359,0.0038308802,0.00043911254,0.0013548544,0.0013591264,0.0016204317,0.002670282],"category_scores_gemma":[0.0015813329,0.00071166735,0.0007658628,0.004273093,0.000927032,0.0027699869,0.0008820733,0.0013425844,0.0018888805],"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":[0.00007214824,0.00011493062,0.0006807723,0.022082249,0.00008243754,0.00027590597,0.00017039398,0.0016638506,0.012964757,0.006551539,0.011252783,0.9440882],"study_design_scores_gemma":[0.000009207989,0.00034509125,0.0020856338,0.0049223923,0.00020184432,0.0031097885,0.00032399327,0.0024039773,0.019930054,0.004373922,0.96215755,0.00013652132],"about_ca_topic_score_codex":0.0013765955,"about_ca_topic_score_gemma":0.0013782831,"teacher_disagreement_score":0.0038308802,"about_ca_system_score_codex":0.000590483,"about_ca_system_score_gemma":0.0010437086,"threshold_uncertainty_score":0.008933008},"labels":[],"label_agreement":null},{"id":"W4386476006","doi":"10.3390/en16186455","title":"Modeling and Predicting the Mechanical Behavior of Standard Insulating Kraft Paper Used in Power Transformers under Thermal Aging","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec","funders":"Mitacs; Hydro-Québec","keywords":"Transformer; Electrical insulation paper; Ultimate tensile strength; Particle swarm optimization; Kraft paper; Nonlinear system; Artificial neural network; Computer science; Materials science; Reliability engineering; Voltage; Biological system; Process engineering; Composite material; Engineering; Artificial intelligence; Machine learning; Electrical engineering; Physics","score_opus":0.012736535909105715,"score_gpt":0.23095476332335793,"score_spread":0.21821822741425223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386476006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.913382,0.0003504377,0.08478901,0.00003692656,0.000017454922,0.00002790978,0.00015582719,0.00020497969,0.0010356439],"genre_scores_gemma":[0.9929986,0.00017459321,0.0061811395,0.0000047411854,0.0000025147103,0.000015725547,0.00010807223,0.000009944516,0.00050468114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998921,0.00001951085,0.000010864219,0.00003512579,0.0000311213,0.000011302561],"domain_scores_gemma":[0.9997763,0.00010249815,0.00005124465,0.0000236698,0.00003987232,0.0000063456887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029099584,0.000659093,0.00029571765,0.00039268215,0.00011179074,0.0004060593,0.00029340782,0.0005427752,0.00026222708],"category_scores_gemma":[0.0006691011,0.00021770876,0.00032126313,0.0002700733,0.00016939428,0.00052671426,0.0001343954,0.0002292259,0.00011398644],"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":[0.00008677961,0.0000939841,0.010851157,0.00009387822,0.000026958474,0.00011727494,0.000041494928,0.9341963,0.025489243,0.00013059244,0.00010303753,0.028769257],"study_design_scores_gemma":[0.0000015559758,0.00004301506,0.0032492117,0.0000034002492,0.000008763418,0.000016291013,0.000010817487,0.98969626,0.0068259435,0.00006414221,0.00007686415,0.0000037579546],"about_ca_topic_score_codex":0.004385369,"about_ca_topic_score_gemma":0.00452546,"teacher_disagreement_score":0.004385369,"about_ca_system_score_codex":0.00026511677,"about_ca_system_score_gemma":0.00023928957,"threshold_uncertainty_score":0.008719683},"labels":[],"label_agreement":null},{"id":"W4386601715","doi":"10.3390/en16186510","title":"The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Pandemic; Energy (signal processing); Efficient energy use; Energy sector; Environmental economics; Business; Coronavirus disease 2019 (COVID-19); Energy supply; Energy transition; Energy policy; Energy engineering; Renewable energy; Risk analysis (engineering); Economics; Engineering; Medicine","score_opus":0.0329297100305805,"score_gpt":0.3699732323647692,"score_spread":0.3370435223341887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386601715","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":[0.0003711391,0.9926328,0.00036144542,0.0019327499,0.0004193346,0.0000107601945,0.000052037838,0.0000046311293,0.004214959],"genre_scores_gemma":[0.0033212255,0.9952306,0.00024946325,0.00063285587,0.00019376888,0.000010670804,0.000035095025,0.0000029862506,0.00032329402],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998838,0.0003771466,0.00017613334,0.00013411304,0.00036437632,0.00011029125],"domain_scores_gemma":[0.99505335,0.0037563446,0.0003112468,0.00007356252,0.0007343464,0.00007118815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019606797,0.00084206846,0.0009665148,0.0043817456,0.00061890716,0.002687464,0.00078204577,0.0017991842,0.0032704652],"category_scores_gemma":[0.0038920748,0.0003761709,0.0010369509,0.0051906556,0.0014177846,0.003085418,0.0012275769,0.0021074964,0.0006667198],"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":[0.00010602974,0.00009200628,0.0014099574,0.087082185,0.00036867746,0.00048613705,0.0015762473,0.0033059793,0.0015466756,0.08405239,0.039254367,0.7807193],"study_design_scores_gemma":[0.000003566132,0.00010242154,0.0022848356,0.034024354,0.000183377,0.0003971617,0.0012396985,0.00023439023,0.00058892387,0.010458914,0.9504433,0.00003891767],"about_ca_topic_score_codex":0.0063328575,"about_ca_topic_score_gemma":0.009917962,"teacher_disagreement_score":0.0063328575,"about_ca_system_score_codex":0.0023863192,"about_ca_system_score_gemma":0.0049849297,"threshold_uncertainty_score":0.017314017},"labels":[],"label_agreement":null},{"id":"W4386688089","doi":"10.3390/en16186545","title":"Interdecadal Variation Trend of Arctic Wind Energy","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ocean University of China","keywords":"Wind power; Arctic; Wind speed; Environmental science; Meteorology; Climatology; Archipelago; Renewable energy; Physical geography; Geography; Oceanography; Geology; Engineering","score_opus":0.008733365099306717,"score_gpt":0.19821842400547451,"score_spread":0.1894850589061678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386688089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610126,0.00034500565,0.00032652522,0.00007034991,0.000019457744,0.0000016873056,0.0013304147,0.000021374879,0.0017838861],"genre_scores_gemma":[0.99808925,0.00017769441,0.00014357905,0.000012600235,0.000008047447,0.0000024354329,0.00117849,0.000004580603,0.00038319326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999018,0.000014438066,0.000008463525,0.00003456596,0.000018456638,0.000022269538],"domain_scores_gemma":[0.9996873,0.000047723912,0.000087886176,0.000032757336,0.00010684038,0.000037518595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031946998,0.00011888814,0.00010566569,0.0007192615,0.00019935603,0.0003821753,0.00009370675,0.00014324539,0.00077024987],"category_scores_gemma":[0.0004405013,0.000063360836,0.00020644866,0.0008443032,0.00011057617,0.00024990021,0.00030743045,0.00020606005,0.00018260202],"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":[0.00004753859,0.000012268819,0.9832554,0.00002227324,0.00014437901,0.000110060246,0.0003767326,0.0010961104,0.0009618838,0.00040732216,0.0010753209,0.012490636],"study_design_scores_gemma":[6.4621037e-7,0.0000070450747,0.9969313,0.0000064338446,0.000015280417,0.000042204025,0.000212992,0.0009017936,0.00008898113,0.000047924008,0.0017416469,0.0000036893366],"about_ca_topic_score_codex":0.019835783,"about_ca_topic_score_gemma":0.032705445,"teacher_disagreement_score":0.019835783,"about_ca_system_score_codex":0.00022021905,"about_ca_system_score_gemma":0.00019665458,"threshold_uncertainty_score":0.039440632},"labels":[],"label_agreement":null},{"id":"W4386688281","doi":"10.3390/en16186541","title":"Integrated Geophysical and Geochemical Analyses for Assessment of Potential Coal Prospects in Tirah Area, Khyber Pakhtunkhwa, Pakistan","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"University of Peshawar; National Natural Science Foundation of China; University of Science and Technology Beijing; National Science Foundation","keywords":"Coal; Silt; Geology; Oil shale; Electrical resistivity and conductivity; Coal mining; Mineralogy; Water content; Electrical resistivity tomography; Organic matter; Khyber pakhtunkhwa; Mining engineering; Soil science; Geotechnical engineering; Geomorphology; Chemistry","score_opus":0.03683226468229928,"score_gpt":0.35530517876582934,"score_spread":0.31847291408353007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386688281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980641,0.0000722101,0.00061671546,0.000022982476,0.0000017487872,0.000015690843,0.0002528088,0.00000571488,0.000947964],"genre_scores_gemma":[0.99810445,0.00012199175,0.0012314778,0.0000073804586,0.0000025685008,0.000009100136,0.00022333086,0.0000011704307,0.00029840204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986124,0.000023491224,0.000011199562,0.000029082606,0.000046116653,0.000028815337],"domain_scores_gemma":[0.9998791,0.000021155318,0.000035034005,0.0000074300683,0.000044788583,0.000012459006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023316141,0.0002498721,0.00015557537,0.0013796687,0.00045692138,0.0005246546,0.00022198203,0.0003208533,0.00043750892],"category_scores_gemma":[0.00022468762,0.0001667041,0.00016638936,0.00094487105,0.00023115466,0.00037733273,0.00037610112,0.00015475598,0.0001199984],"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":[0.000089242734,0.00009043457,0.9209389,0.0001312702,0.00007075075,0.0017954627,0.001638227,0.0025285152,0.022943018,0.00025035115,0.0002910321,0.04923277],"study_design_scores_gemma":[0.000007387371,0.00011724254,0.98712707,0.000025330779,0.000036875754,0.0005289785,0.0050304146,0.0038009689,0.0020554683,0.00013175374,0.0011272349,0.000011295139],"about_ca_topic_score_codex":0.011567163,"about_ca_topic_score_gemma":0.030347668,"teacher_disagreement_score":0.011567163,"about_ca_system_score_codex":0.00021350734,"about_ca_system_score_gemma":0.00044994187,"threshold_uncertainty_score":0.022999704},"labels":[],"label_agreement":null},{"id":"W4386746198","doi":"10.3390/en16186594","title":"PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermostat; Computer science; Flexibility (engineering); Thermal comfort; Machine learning; Home automation; Artificial intelligence; Energy (signal processing); Efficient energy use; Engineering; Telecommunications","score_opus":0.015609315173805979,"score_gpt":0.22872584541276683,"score_spread":0.21311653023896085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386746198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008521678,0.00028428258,0.98743665,0.00019450797,0.000060125112,0.00004620436,0.000114064766,0.0021296148,0.0012128702],"genre_scores_gemma":[0.5456844,0.0004401457,0.44742018,0.00041399905,0.00010874917,0.00033224857,0.0007287325,0.00032298875,0.0045486228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968743,0.000073387266,0.000016790978,0.00010765186,0.00007962847,0.00003508991],"domain_scores_gemma":[0.99960715,0.00022788417,0.000030565618,0.00004821656,0.000067516594,0.000018548764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006289216,0.00096909254,0.0009358614,0.00031889122,0.00045550364,0.00062011345,0.001728681,0.0010631431,0.002127553],"category_scores_gemma":[0.0021113208,0.00042836994,0.00055314467,0.00054514257,0.00039071857,0.0014129397,0.0010132056,0.0017985848,0.0007295256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014573011,0.00010197166,0.0006398704,0.00008544919,0.000046771147,0.00011344775,0.000058063477,0.8332343,0.0035989983,0.0039878883,0.0063083,0.15167925],"study_design_scores_gemma":[0.0000056971726,0.000007651994,0.000029097992,0.0000013682436,0.0000017246082,0.000010770212,0.0000032400117,0.9979565,0.00041230983,0.0012003352,0.0003692095,0.0000020345556],"about_ca_topic_score_codex":0.005821681,"about_ca_topic_score_gemma":0.0063934717,"teacher_disagreement_score":0.005821681,"about_ca_system_score_codex":0.00056929,"about_ca_system_score_gemma":0.00080403493,"threshold_uncertainty_score":0.01157558},"labels":[],"label_agreement":null},{"id":"W4386838224","doi":"10.3390/en16186657","title":"Dynamic Distributed Collaborative Control for Equitable Current Distribution and Voltage Recovery in DC Microgrids","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Inyuvesi Yakwazulu-Natali","keywords":"Microgrid; Voltage droop; Distributed generation; Control theory (sociology); Robustness (evolution); Controller (irrigation); Computer science; Engineering; Voltage; Control engineering; Control (management); Voltage source; Renewable energy; Electrical engineering","score_opus":0.004462708963616311,"score_gpt":0.21601626377480754,"score_spread":0.21155355481119123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386838224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06882709,0.0003327864,0.9196717,0.00010520522,0.000073031035,0.00009523708,0.00002508341,0.00044110062,0.01042873],"genre_scores_gemma":[0.98881674,0.0000798411,0.010006637,0.00001726191,0.000013229966,0.000037340094,0.000012332236,0.000008545158,0.0010080668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997546,0.00004396078,0.0000136889885,0.000074166455,0.000079677884,0.0000338213],"domain_scores_gemma":[0.9997919,0.000050658815,0.00004797126,0.000022325055,0.00007505825,0.0000121188605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046038357,0.0006099868,0.00039582187,0.00022381658,0.000363531,0.0007154155,0.0006211119,0.00022879118,0.00089891563],"category_scores_gemma":[0.00066392357,0.000115812945,0.00022936933,0.0002729175,0.00039018257,0.0003088226,0.00063017133,0.00039714266,0.00012062675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023355939,0.00016437437,0.0005668815,0.00021146947,0.00004780899,0.00017647987,0.00023367032,0.8443455,0.0242615,0.01337172,0.0012373426,0.11514966],"study_design_scores_gemma":[0.000017427801,0.00013380358,0.00019462347,0.000006935898,0.000011741877,0.000027297505,0.000023732095,0.9933782,0.0033344422,0.0016941715,0.0011712709,0.0000062863405],"about_ca_topic_score_codex":0.0026682725,"about_ca_topic_score_gemma":0.0027517264,"teacher_disagreement_score":0.0026682725,"about_ca_system_score_codex":0.00041227194,"about_ca_system_score_gemma":0.00047858685,"threshold_uncertainty_score":0.005305469},"labels":[],"label_agreement":null},{"id":"W4386860056","doi":"10.3390/en16186684","title":"Power Quality Enhancement of Remote Gas Field Generations with Smart Power Converters","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Electricity generation; Engineering; Automotive engineering; Electric power system; Converters; Distributed generation; Electrical engineering; Renewable energy; Overvoltage; Harmonics; Voltage; Power (physics)","score_opus":0.007225578654111416,"score_gpt":0.21513130895337834,"score_spread":0.20790573029926693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386860056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56703866,0.00055397896,0.41133177,0.00010177097,0.00006116332,0.00015473236,0.00007855466,0.00129438,0.019385021],"genre_scores_gemma":[0.9910703,0.00009927463,0.008080776,0.000011507203,0.000005733038,0.000012856119,0.00001815486,0.000013037456,0.0006883426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998989,0.000020565474,0.000006274269,0.00002185612,0.000039090108,0.000013282286],"domain_scores_gemma":[0.99991643,0.000015831869,0.000025483727,0.000016990722,0.000019192148,0.0000060610255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015876211,0.00049308984,0.0003743152,0.00031168078,0.00017528684,0.0006414054,0.0003842058,0.00020088172,0.0014848526],"category_scores_gemma":[0.00021038859,0.000121231795,0.0002026325,0.0002809951,0.0002791255,0.00044221428,0.00023955276,0.00026649795,0.00020463116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008761722,0.0004529595,0.004066509,0.00056458794,0.00010938364,0.0005700891,0.0002235017,0.39157248,0.32388064,0.008624645,0.0018881792,0.26717085],"study_design_scores_gemma":[0.00023725626,0.0012860007,0.0058798315,0.000042522657,0.00008500935,0.0003477783,0.00010456867,0.8327805,0.14876108,0.0039382824,0.006500146,0.000037127],"about_ca_topic_score_codex":0.0006020809,"about_ca_topic_score_gemma":0.0009825886,"teacher_disagreement_score":0.0014848526,"about_ca_system_score_codex":0.00021131037,"about_ca_system_score_gemma":0.0001354921,"threshold_uncertainty_score":0.0049672723},"labels":[],"label_agreement":null},{"id":"W4386879145","doi":"10.3390/en16186716","title":"Polyaniline-Based Ink for Inkjet Printing for Supercapacitors, Sensors, and Electrochromic Devices","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electrochromism; Materials science; Conductive polymer; Electrochromic devices; Polyaniline; Inkwell; Supercapacitor; Nanotechnology; Conductive ink; Screen printing; Printed electronics; Electrical conductor; Polymer; Capacitance; Electrode; Composite material; Sheet resistance; Chemistry","score_opus":0.02686219683009636,"score_gpt":0.2822801874907349,"score_spread":0.2554179906606385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386879145","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.099364795,0.45103893,0.31510904,0.0016489122,0.0058380626,0.0010681793,0.002365446,0.005912673,0.11765406],"genre_scores_gemma":[0.44860604,0.23842697,0.25689834,0.0015766484,0.001090386,0.001137052,0.0021948188,0.0007549635,0.04931473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993648,0.00004803966,0.0000728135,0.00016567115,0.00030503425,0.00004373756],"domain_scores_gemma":[0.999686,0.00011625658,0.00006784951,0.000032389555,0.00007852328,0.000019042618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037322074,0.0008247741,0.0006347002,0.0012656872,0.00028204347,0.00088808505,0.0007643776,0.0010512692,0.003294025],"category_scores_gemma":[0.0006044878,0.00044080603,0.0006087297,0.0013252514,0.00027051038,0.0012597302,0.00045485373,0.0013034795,0.002550683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006683851,0.00012061512,0.00020828625,0.005421414,0.00005262074,0.0007070243,0.00009375366,0.0009091923,0.8346915,0.004022612,0.003917367,0.14978875],"study_design_scores_gemma":[0.000010815944,0.00017800169,0.00058215024,0.00019973608,0.000044519864,0.001032328,0.000026545744,0.0024198962,0.8688607,0.00071934453,0.1258763,0.00004966554],"about_ca_topic_score_codex":0.00018443937,"about_ca_topic_score_gemma":0.00042094302,"teacher_disagreement_score":0.003294025,"about_ca_system_score_codex":0.0003619606,"about_ca_system_score_gemma":0.00024256493,"threshold_uncertainty_score":0.0110195875},"labels":[],"label_agreement":null},{"id":"W4387059255","doi":"10.3390/en16196809","title":"Advances in Vehicle and Powertrain Efficiency of Long-Haul Commercial Vehicles: A Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"","keywords":"Powertrain; Truck; Automotive engineering; Fuel efficiency; Electrification; Greenhouse gas; Diesel fuel; Engineering; Electricity; Torque","score_opus":0.024043635137069093,"score_gpt":0.30338058799380907,"score_spread":0.27933695285674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387059255","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":[0.00031349034,0.998292,0.00020818216,0.000114795024,0.000104469436,0.000006069819,0.00003461526,0.000007196089,0.0009191925],"genre_scores_gemma":[0.0015453643,0.9976749,0.00023651932,0.0000676435,0.0000956684,0.0000065925005,0.000053822972,0.0000028906607,0.00031662555],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995621,0.000051707695,0.00007599459,0.00009753628,0.00017806664,0.000034647925],"domain_scores_gemma":[0.99899334,0.00048667472,0.00016348454,0.000022301925,0.00030018037,0.0000339252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009591568,0.0011347494,0.0016432131,0.003316616,0.00029376018,0.0015088775,0.0012173697,0.0011444695,0.0037005525],"category_scores_gemma":[0.0011065919,0.0005594768,0.0010206408,0.003995148,0.00033407245,0.0020660334,0.00054960937,0.0010259408,0.0015062748],"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":[0.00008510786,0.00014289674,0.0005508154,0.06626588,0.0002214955,0.00015866266,0.00008270874,0.0014214572,0.0030995086,0.0033952151,0.016549813,0.90802646],"study_design_scores_gemma":[0.00001251228,0.00025034943,0.0022593723,0.010493052,0.00050775136,0.00063863705,0.00013872523,0.00049822556,0.0020813756,0.0014828746,0.9815839,0.000053059128],"about_ca_topic_score_codex":0.002000263,"about_ca_topic_score_gemma":0.002293613,"teacher_disagreement_score":0.0037005525,"about_ca_system_score_codex":0.00058139913,"about_ca_system_score_gemma":0.0012757357,"threshold_uncertainty_score":0.012379587},"labels":[],"label_agreement":null},{"id":"W4387136707","doi":"10.3390/en16196840","title":"Comparative Evaluation of PSA, PVSA, and Twin PSA Processes for Biogas Upgrading: The Purity, Recovery, and Energy Consumption Dilemma","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biogas; Pressure swing adsorption; Adsorption; Energy recovery; Process engineering; Environmental science; Energy consumption; Chemistry; Methane; Waste management; Materials science; Pulp and paper industry; Mathematics; Energy (signal processing); Engineering; Organic chemistry; Electrical engineering","score_opus":0.057749285540025196,"score_gpt":0.2862904893000148,"score_spread":0.22854120375998963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387136707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919918,0.0011202074,0.005632383,0.000053795007,0.000015074747,0.000025143769,0.000076628996,0.00005791221,0.0010271226],"genre_scores_gemma":[0.99426985,0.0008041079,0.003987812,0.000012676188,0.000003866612,0.000018702734,0.00007352767,0.000016044065,0.0008134763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957377,0.00009375682,0.00002904714,0.00005426032,0.00019573237,0.000053335505],"domain_scores_gemma":[0.99965084,0.00015572408,0.00003761819,0.000031657637,0.00009081373,0.00003328867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006826623,0.00037104095,0.0006373449,0.0004119922,0.00025432027,0.00073591503,0.00050691783,0.0004532715,0.0008534298],"category_scores_gemma":[0.0009406651,0.00022046169,0.0006585829,0.0006585854,0.00028443683,0.0008543403,0.0004718645,0.0005732089,0.00019325408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016505162,0.00029402127,0.0017828116,0.00059429684,0.00007640764,0.00013541931,0.00008318385,0.019903537,0.93475485,0.00058445183,0.00011985513,0.040020604],"study_design_scores_gemma":[0.00004181469,0.0032420154,0.0047250246,0.000022694265,0.00008808934,0.0001416164,0.00015378988,0.06397969,0.9254269,0.00021182865,0.0019315454,0.000035084995],"about_ca_topic_score_codex":0.002287531,"about_ca_topic_score_gemma":0.0044768834,"teacher_disagreement_score":0.002287531,"about_ca_system_score_codex":0.0004319985,"about_ca_system_score_gemma":0.00047731985,"threshold_uncertainty_score":0.004548371},"labels":[],"label_agreement":null},{"id":"W4387259027","doi":"10.3390/en16196902","title":"Linear Quadratic Gaussian Control of a 6-DOF Aircraft Landing Gear","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear-quadratic-Gaussian control; Control theory (sociology); Airframe; Linear-quadratic regulator; Landing gear; Controller (irrigation); PID controller; Engineering; Kalman filter; Optimal projection equations; MATLAB; Control engineering; Computer science; Control (management); Aerospace engineering","score_opus":0.006210709884016329,"score_gpt":0.20023772647789734,"score_spread":0.194027016593881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387259027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06683834,0.00029977513,0.9255206,0.00017035463,0.00011867756,0.00005176195,0.00004190276,0.000621142,0.0063373516],"genre_scores_gemma":[0.980803,0.00012128982,0.016453011,0.000030235453,0.000016585953,0.00003936405,0.000037450987,0.000012986558,0.002485916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999522,0.00010329814,0.000021305332,0.00008820235,0.00020949406,0.00005568569],"domain_scores_gemma":[0.9996427,0.000117824195,0.00006650868,0.000022407761,0.00013762045,0.000012895336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072282745,0.0003768419,0.00038634654,0.00022148967,0.00026280724,0.0005801766,0.00056463486,0.00040215135,0.0011432165],"category_scores_gemma":[0.00091455877,0.00019601661,0.00041858654,0.00019799703,0.00044598195,0.00027213152,0.00041097685,0.00047913846,0.00024102678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019516403,0.00007742202,0.0009193904,0.00019153181,0.000045120516,0.00021194735,0.00017426202,0.9305417,0.023513459,0.0073913573,0.00074416737,0.035994504],"study_design_scores_gemma":[0.000013036898,0.000109921915,0.0002876124,0.0000034506477,0.0000072356856,0.000011033998,0.000006844399,0.9977296,0.0010523611,0.00032456266,0.00044950863,0.000004839919],"about_ca_topic_score_codex":0.009226589,"about_ca_topic_score_gemma":0.0055124573,"teacher_disagreement_score":0.009226589,"about_ca_system_score_codex":0.0003706462,"about_ca_system_score_gemma":0.0005653557,"threshold_uncertainty_score":0.018345773},"labels":[],"label_agreement":null},{"id":"W4387302813","doi":"10.3390/en16196932","title":"Pyrolysis and Combustion Behavior of Flax Straw as Biomass: Evaluation of Kinetic, Thermodynamic Parameters, and Qualitative Analysis of Degradation Products","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome Prairie; University of Saskatchewan","funders":"Mitacs","keywords":"Pyrolysis; Combustion; Thermogravimetric analysis; Straw; Thermogravimetry; Biomass (ecology); Bioenergy; Biofuel; Chemistry; Chemical engineering; Fourier transform infrared spectroscopy; Elemental analysis; Activation energy; Materials science; Waste management; Organic chemistry; Inorganic chemistry; Agronomy","score_opus":0.028868867350184367,"score_gpt":0.29762430165672027,"score_spread":0.2687554343065359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387302813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98753345,0.0024593968,0.007970966,0.00004490125,0.000016998523,0.000026515449,0.0007974851,0.000036073594,0.0011142829],"genre_scores_gemma":[0.9888137,0.002079425,0.00663846,0.000031979664,0.0000071724767,0.000033520024,0.0007884433,0.00002427033,0.0015830992],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998061,0.000026568729,0.000009928256,0.00004679833,0.000085681524,0.000024921335],"domain_scores_gemma":[0.99991035,0.000023838445,0.000020675916,0.0000053316003,0.00003281953,0.000007117588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040770232,0.0005623547,0.0004160227,0.0005638873,0.00026082873,0.0004760249,0.00020774044,0.00040672737,0.00068855984],"category_scores_gemma":[0.00027736006,0.000120823475,0.0005295241,0.00073709624,0.00017812518,0.00051906507,0.00012695536,0.00031160176,0.00020451959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012833817,0.000033717046,0.0026533934,0.00023263054,0.000021367165,0.00010047387,0.00004128354,0.0011639427,0.98811346,0.0001048825,0.000035328627,0.0073711905],"study_design_scores_gemma":[0.000003140788,0.00024520323,0.025611632,0.000024248835,0.000036745685,0.00019980637,0.00012516972,0.005926668,0.9662596,0.0001732582,0.0013709571,0.0000234993],"about_ca_topic_score_codex":0.0018065243,"about_ca_topic_score_gemma":0.0026020675,"teacher_disagreement_score":0.0018065243,"about_ca_system_score_codex":0.00038244593,"about_ca_system_score_gemma":0.00024212062,"threshold_uncertainty_score":0.0035919547},"labels":[],"label_agreement":null},{"id":"W4387400885","doi":"10.3390/en16196967","title":"Renewable Energy and Decarbonization in the Canadian Mining Industry: Opportunities and Challenges","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; École de Technologie Supérieure","funders":"","keywords":"Electrification; Renewable energy; Context (archaeology); Fossil fuel; Natural resource economics; Population; Business; Environmental economics; Engineering; Economics; Electricity; Waste management; Geography","score_opus":0.07419151485130271,"score_gpt":0.21152500261675505,"score_spread":0.13733348776545234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387400885","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048820328,0.580512,0.0035195693,0.19206221,0.0017246836,0.00011801426,0.0017375343,0.00009448292,0.17141119],"genre_scores_gemma":[0.23737495,0.7249809,0.005373035,0.010866553,0.00042310322,0.00003917712,0.0006432828,0.00005092502,0.020248145],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975865,0.00024907297,0.00008829599,0.00016135695,0.0013461824,0.00056869356],"domain_scores_gemma":[0.9971704,0.00046570427,0.00014946857,0.00005029287,0.0018234432,0.00034075568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022136413,0.0005930852,0.0005689269,0.002677287,0.006710398,0.008654927,0.0013438803,0.001639148,0.004539308],"category_scores_gemma":[0.0027391827,0.0002394388,0.0006581847,0.007335545,0.0033199955,0.002578399,0.0019430214,0.0020564115,0.00058986957],"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":[0.00011178832,0.0001320922,0.018463802,0.011688134,0.00016568405,0.0034745366,0.011189627,0.0049384255,0.004486011,0.2569972,0.14781156,0.5405412],"study_design_scores_gemma":[0.000006030755,0.000039220362,0.015614933,0.00402585,0.00009425019,0.0005909945,0.022725321,0.0011114652,0.0014087388,0.021735225,0.93251705,0.00013094855],"about_ca_topic_score_codex":0.9405719,"about_ca_topic_score_gemma":0.98130465,"teacher_disagreement_score":0.059428096,"about_ca_system_score_codex":0.03872501,"about_ca_system_score_gemma":0.15377875,"threshold_uncertainty_score":0.28097093},"labels":[],"label_agreement":null},{"id":"W4387454113","doi":"10.3390/en16196994","title":"Laboratory Investigation of Impact of Injection–Abstraction Rate and Groundwater Flow Velocity on Groundwater Heat Pump Performance","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":4,"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":"Groundwater; Plume; Groundwater flow; Heat pump; Environmental science; Volumetric flow rate; Thermal; Groundwater discharge; Mechanics; Hydrology (agriculture); Environmental engineering; Petroleum engineering; Heat exchanger; Meteorology; Geotechnical engineering; Geology; Thermodynamics; Aquifer; Geography; Physics","score_opus":0.015350519090520497,"score_gpt":0.23647949544572952,"score_spread":0.22112897635520903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387454113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959253,0.00015738308,0.002602079,0.000036712747,0.000027657476,0.000074208336,0.0005337106,0.00007294172,0.0005700048],"genre_scores_gemma":[0.9966517,0.0002370231,0.002115317,0.000019967982,0.000008930795,0.00008509687,0.00026757867,0.000012525423,0.0006019383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995913,0.000050157632,0.00004422227,0.000098866556,0.00012507205,0.0000903107],"domain_scores_gemma":[0.99933404,0.00026172798,0.00010480222,0.00006413608,0.00019350802,0.00004175986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062033953,0.0004909596,0.00040840873,0.0002616175,0.00034261958,0.00044448525,0.00039570683,0.00042009077,0.0017512568],"category_scores_gemma":[0.0010677665,0.00017712744,0.0005157858,0.0002822307,0.00040127806,0.000533919,0.00038075013,0.0007102384,0.00025626333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009379151,0.0008803229,0.0051736953,0.00027571776,0.000029482399,0.00008564126,0.00013096983,0.0047982614,0.98001766,0.00018510266,0.0002504747,0.0072348327],"study_design_scores_gemma":[0.00005369785,0.00443132,0.0077475347,0.000014307134,0.000056734843,0.000035060024,0.0001308984,0.009457124,0.9771673,0.00009919345,0.00077704765,0.00002982133],"about_ca_topic_score_codex":0.0020917342,"about_ca_topic_score_gemma":0.0018739081,"teacher_disagreement_score":0.0020917342,"about_ca_system_score_codex":0.00034942527,"about_ca_system_score_gemma":0.0004938302,"threshold_uncertainty_score":0.005858481},"labels":[],"label_agreement":null},{"id":"W4387503338","doi":"10.3390/en16207026","title":"MEVO: A Metamodel-Based Evolutionary Optimizer for Building Energy Optimization","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metaheuristic; Bayesian optimization; Metamodeling; Crossover; Particle swarm optimization; Mathematical optimization; Evolutionary algorithm; Computer science; Multi-swarm optimization; Engineering optimization; Parallel metaheuristic; Optimization problem; Evolutionary computation; Meta-optimization; Artificial intelligence; Machine learning; Algorithm; Mathematics","score_opus":0.011016741913762477,"score_gpt":0.21086469848392786,"score_spread":0.19984795657016538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387503338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008278817,0.00016636118,0.98695743,0.00008010204,0.000037513513,0.00004384766,0.00007830217,0.0006971383,0.0036604013],"genre_scores_gemma":[0.3338519,0.00032613383,0.6606063,0.00016240832,0.00003669478,0.00045690243,0.0003564492,0.00035738724,0.003845822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982184,0.00005369778,0.0000079972415,0.000025708736,0.00007394233,0.000016927288],"domain_scores_gemma":[0.9997942,0.00011706747,0.000023578908,0.000018787365,0.00003519652,0.000011187912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004950442,0.0007999704,0.00071943837,0.0004842588,0.00025782935,0.00052688224,0.00069457584,0.0009039953,0.0019463782],"category_scores_gemma":[0.0011854188,0.00042556034,0.0007590016,0.00037794997,0.00027266573,0.00042850146,0.00064439425,0.0008391856,0.00036237462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002600787,0.000024948275,0.00043310874,0.000050384453,0.000034834353,0.000026601889,0.000021695227,0.9567813,0.0032116368,0.005952336,0.0007234785,0.032713667],"study_design_scores_gemma":[0.0000058288692,0.000013860029,0.00007084147,0.0000056519257,0.00000393636,0.000009408219,0.0000034993113,0.99686843,0.0004843791,0.0011474994,0.0013834874,0.000003159978],"about_ca_topic_score_codex":0.002043422,"about_ca_topic_score_gemma":0.0025159698,"teacher_disagreement_score":0.002043422,"about_ca_system_score_codex":0.0003864491,"about_ca_system_score_gemma":0.00066970906,"threshold_uncertainty_score":0.0065113306},"labels":[],"label_agreement":null},{"id":"W4387573262","doi":"10.3390/en16207048","title":"Dual-Motor Dual-Source High Performance EV: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Dual (grammatical number); Powertrain; Electric motor; Computer science; Automotive engineering; Electric vehicle; Engineering; Electrical engineering; Torque; Power (physics)","score_opus":0.021752549079203425,"score_gpt":0.2559264200015015,"score_spread":0.23417387092229808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387573262","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":[0.00047551206,0.9960368,0.00046729512,0.00019234589,0.00014356365,0.000010756795,0.000053491534,0.000013431256,0.002606757],"genre_scores_gemma":[0.002314582,0.9962441,0.00046175215,0.00008645831,0.0000879068,0.00000841047,0.00006840883,0.0000031318962,0.0007252762],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983215,0.00002066527,0.000026971467,0.000035814286,0.00006792152,0.000016496135],"domain_scores_gemma":[0.9996101,0.00017779742,0.000059981827,0.000011729606,0.00011803584,0.000022336477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049400015,0.0009215385,0.0010607055,0.0023748768,0.00022369775,0.0009093228,0.0007319675,0.00074922753,0.0047601624],"category_scores_gemma":[0.0006267638,0.00035801044,0.00068980415,0.0025051152,0.00018890532,0.0012537349,0.00051036227,0.0007055286,0.0016592322],"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":[0.00007507636,0.0001311348,0.00038384713,0.057783436,0.00021455783,0.00019513909,0.000079015845,0.0018755911,0.0028545684,0.00808366,0.024036607,0.90428734],"study_design_scores_gemma":[0.0000075737494,0.000149011,0.000938148,0.007189197,0.00033737754,0.00054886506,0.000080662554,0.00041030758,0.0010884337,0.0018615188,0.987363,0.000026028445],"about_ca_topic_score_codex":0.0011427994,"about_ca_topic_score_gemma":0.0018861432,"teacher_disagreement_score":0.0047601624,"about_ca_system_score_codex":0.00031206524,"about_ca_system_score_gemma":0.0011936249,"threshold_uncertainty_score":0.015924394},"labels":[],"label_agreement":null},{"id":"W4387614838","doi":"10.3390/en16207080","title":"Centralized Protection of Networked Microgrids with Multi-Technology DERs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RTDS Technologies (Canada); University of Manitoba","funders":"Mitacs","keywords":"IEC 61850; Fault (geology); Grid; Distributed generation; Power-system protection; Electric power system; Computer science; Wind power; Engineering; Network topology; Distributed computing; Reliability engineering; Power (physics); Renewable energy; Electrical engineering; Computer network; Automation","score_opus":0.01120434331631933,"score_gpt":0.20183022259088967,"score_spread":0.19062587927457034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387614838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25063252,0.00045098225,0.7408626,0.00008097426,0.000043379372,0.00008013811,0.00005556641,0.0014363754,0.0063575464],"genre_scores_gemma":[0.9916319,0.00003732696,0.007897376,0.0000069842467,0.0000051206184,0.000009945719,0.000013329637,0.0000072319945,0.00039078295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999778,0.00006620333,0.00001418871,0.00006773252,0.00005025506,0.000023668506],"domain_scores_gemma":[0.99971,0.000085576445,0.00006610187,0.00007185972,0.000053444972,0.000012939149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003120411,0.00045983138,0.00038234657,0.00020630973,0.00025930902,0.000530302,0.000625589,0.00024105507,0.00070403685],"category_scores_gemma":[0.0006113543,0.00014454682,0.00021776107,0.00016004419,0.00034023257,0.00054465723,0.0004910958,0.00027063317,0.00016311562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003724106,0.00006964068,0.0025440205,0.00016603546,0.000080236845,0.00033044888,0.00021220735,0.8485895,0.026955927,0.005646996,0.0007205247,0.11431208],"study_design_scores_gemma":[0.0000311955,0.0001636552,0.0009457493,0.000013949735,0.00003926148,0.00009117753,0.00005095618,0.9831303,0.0117053725,0.0026252794,0.0011949812,0.000008035135],"about_ca_topic_score_codex":0.0011843701,"about_ca_topic_score_gemma":0.0017682826,"teacher_disagreement_score":0.0011843701,"about_ca_system_score_codex":0.0004153506,"about_ca_system_score_gemma":0.0003373086,"threshold_uncertainty_score":0.0030136108},"labels":[],"label_agreement":null},{"id":"W4387638547","doi":"10.3390/en16207094","title":"Health Prognostics Classification with Autoencoders for Predictive Maintenance of HVAC Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación","keywords":"HVAC; Prognostics; Autoencoder; Reliability engineering; Data-driven; Computer science; Machine learning; Engineering; Artificial intelligence; Turbofan; Data mining; Air conditioning; Artificial neural network; Automotive engineering","score_opus":0.015195536271538499,"score_gpt":0.22134042008174482,"score_spread":0.20614488381020632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387638547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20862812,0.0011480193,0.78538984,0.00041941472,0.00014853931,0.00007776823,0.00016662368,0.0014381397,0.002583508],"genre_scores_gemma":[0.94842386,0.00021142252,0.049609575,0.000093847804,0.000039918225,0.0000481278,0.0002471617,0.000023622635,0.001302427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997079,0.0000640609,0.000022797833,0.00007813401,0.000088163666,0.000038938586],"domain_scores_gemma":[0.9993118,0.00031848226,0.00007770884,0.000055357115,0.00021766732,0.00001903244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084150897,0.00070552895,0.00046906748,0.0004342553,0.00024101164,0.00044555703,0.0005772843,0.00059038284,0.00058468507],"category_scores_gemma":[0.001863315,0.0002766491,0.0005182002,0.0002141512,0.00028120817,0.000513377,0.0005186677,0.0010801151,0.00021102768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001972265,0.00016008517,0.004401952,0.00007103804,0.00007863532,0.00010386487,0.00008310441,0.75776994,0.010057501,0.00089995674,0.0010243907,0.22515228],"study_design_scores_gemma":[0.0000018875243,0.000021502256,0.0006903994,0.0000045039724,0.000007086575,0.000010302884,0.0000049122204,0.9973571,0.0015557307,0.00023677184,0.000106838335,0.0000029675534],"about_ca_topic_score_codex":0.005958532,"about_ca_topic_score_gemma":0.0049882135,"teacher_disagreement_score":0.005958532,"about_ca_system_score_codex":0.0005467586,"about_ca_system_score_gemma":0.00055778754,"threshold_uncertainty_score":0.011847675},"labels":[],"label_agreement":null},{"id":"W4387638646","doi":"10.3390/en16207095","title":"Hammerstein–Wiener Model Identification for Oil-in-Water Separation Dynamics in a De-Oiling Hydrocyclone System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Aalborg Universitet","keywords":"Hydrocyclone; System identification; Controller (irrigation); System dynamics; Trajectory; Computer science; Petroleum engineering; Environmental science; Engineering; Process engineering; Data modeling; Mechanics","score_opus":0.008146025475064734,"score_gpt":0.2361172918263207,"score_spread":0.22797126635125597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387638646","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14178638,0.000996701,0.8413151,0.0004238589,0.00008119555,0.00015418202,0.00025957977,0.00091385597,0.014069233],"genre_scores_gemma":[0.980246,0.00031456447,0.013433993,0.00004957384,0.000012576159,0.00019392752,0.00015417961,0.000034675842,0.005560514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997795,0.000041667623,0.000015624539,0.00006911941,0.00006247182,0.00003158523],"domain_scores_gemma":[0.9996025,0.00019125117,0.00007358216,0.000018089784,0.00010239808,0.000012256935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055021106,0.0010614262,0.0009793498,0.00036099454,0.00057206495,0.0009636079,0.00055629906,0.0010278686,0.0020268923],"category_scores_gemma":[0.0009196601,0.00043487235,0.00082332024,0.0002991919,0.0004829549,0.00051242,0.00075341243,0.0011612726,0.00035375616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000770444,0.000032701424,0.0006858594,0.000109313216,0.000045939636,0.00013139597,0.000087699955,0.9830899,0.004822017,0.002065922,0.00030556013,0.008546554],"study_design_scores_gemma":[0.0000044961944,0.000017850063,0.00014883786,0.0000039978318,0.0000051984903,0.0000050610156,0.0000061645296,0.99907696,0.00038507723,0.00021472895,0.0001272523,0.000004368747],"about_ca_topic_score_codex":0.019391332,"about_ca_topic_score_gemma":0.011007921,"teacher_disagreement_score":0.019391332,"about_ca_system_score_codex":0.00067116367,"about_ca_system_score_gemma":0.0010785938,"threshold_uncertainty_score":0.038556933},"labels":[],"label_agreement":null},{"id":"W4387775969","doi":"10.3390/en16207149","title":"Transfer Learning Prediction Performance of Chillers for Neural Network Models","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort 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":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Chiller; Artificial neural network; Transfer of learning; Air conditioning; Computer science; Machine learning; Automation; Chiller boiler system; Water chiller; Artificial intelligence; Simulation; Engineering; Mechanical engineering","score_opus":0.011305652775842346,"score_gpt":0.1788660646893792,"score_spread":0.16756041191353688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387775969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93961674,0.00077630964,0.05462287,0.00051915995,0.00007444173,0.000046178036,0.0002382642,0.00061908155,0.003486895],"genre_scores_gemma":[0.99651426,0.000052760075,0.0027080558,0.000023278293,0.000007041603,0.000015437143,0.00018285993,0.000010266316,0.00048606365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966407,0.000118313714,0.000024339184,0.00008363472,0.00005007439,0.000059668862],"domain_scores_gemma":[0.99760747,0.001620908,0.00015954647,0.00015232309,0.00038010508,0.000079573205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002067681,0.0012594237,0.00055491686,0.00042053452,0.0002748249,0.0005538769,0.0006960001,0.0011436979,0.001010545],"category_scores_gemma":[0.00609048,0.0002319375,0.00050414633,0.00029284105,0.00047393315,0.0009073936,0.00065795303,0.0013854271,0.00022718434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109952314,0.00006290051,0.0028573666,0.000023894654,0.00002353522,0.000015898626,0.0000137625275,0.98492706,0.0005017798,0.00018664266,0.00025396716,0.011023239],"study_design_scores_gemma":[0.0000020073358,0.000020914886,0.000526141,0.0000022150718,0.000002100759,0.0000014635203,0.0000041626263,0.9988562,0.00044150362,0.000124674,0.0000163674,0.0000023569764],"about_ca_topic_score_codex":0.02127198,"about_ca_topic_score_gemma":0.011618233,"teacher_disagreement_score":0.02127198,"about_ca_system_score_codex":0.0011422792,"about_ca_system_score_gemma":0.00073793053,"threshold_uncertainty_score":0.04229629},"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":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4387781793","doi":"10.3390/en16207162","title":"Overview of DC/DC Converters for Concentrating Photovoltaics (CPVs)","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"solar cell performance optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Institut National des Sciences Appliquées de Lyon; Centre National de la Recherche Scientifique; Fonds de recherche du Québec – Nature et technologies; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Canada Research Chairs; Indian National Science Academy","keywords":"Photovoltaic system; Converters; Photovoltaics; Cost of electricity by source; Electrical engineering; Computer science; Power (physics); Electronic engineering; Electricity generation; Engineering; Voltage; Physics","score_opus":0.03266778068930513,"score_gpt":0.25459077528915197,"score_spread":0.22192299459984685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387781793","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":[0.0053153685,0.88294667,0.0550378,0.0006421665,0.00048885564,0.0002137235,0.0005060903,0.00029389196,0.054555357],"genre_scores_gemma":[0.033500448,0.8966573,0.04965871,0.000418955,0.0005448782,0.0002311324,0.0010181937,0.00006465428,0.017905874],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997193,0.000031959313,0.000037075006,0.00006425474,0.0001267638,0.000020559191],"domain_scores_gemma":[0.99978465,0.00007266772,0.000022976736,0.000015313983,0.0000933776,0.000011036519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038015805,0.0010359643,0.00065827667,0.0022504753,0.00036480214,0.0013786086,0.00070861075,0.0007930797,0.00460442],"category_scores_gemma":[0.00037052398,0.0005504726,0.0006183025,0.0031245053,0.00022088586,0.0011862195,0.00044163334,0.0009810498,0.0025875128],"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":[0.00008905776,0.0001784892,0.00056984054,0.01383384,0.00010837631,0.0002770483,0.00011455632,0.008891315,0.01932059,0.03431549,0.015164334,0.90713704],"study_design_scores_gemma":[0.000010837119,0.00033188457,0.0017282615,0.0022115195,0.00012661557,0.0010893005,0.000093008915,0.0072547346,0.009503173,0.009651661,0.9679436,0.00005535599],"about_ca_topic_score_codex":0.001218155,"about_ca_topic_score_gemma":0.0013074134,"teacher_disagreement_score":0.00460442,"about_ca_system_score_codex":0.00052134675,"about_ca_system_score_gemma":0.0007741385,"threshold_uncertainty_score":0.01540333},"labels":[],"label_agreement":null},{"id":"W4387971071","doi":"10.3390/en16217304","title":"Enhanced Virtual Inertia Controller for Microgrid Applications","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Inertia; Controller (irrigation); Microgrid; Open-loop controller; Operating point; Transient (computer programming); Computer science; Engineering; Grid; Mathematics; Control engineering; Physics; Control (management); Electronic engineering","score_opus":0.004780571683559569,"score_gpt":0.1978278629314765,"score_spread":0.19304729124791692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387971071","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04176296,0.0008929231,0.94258755,0.00008348018,0.00016213952,0.00005794466,0.00006663743,0.0017624812,0.012623815],"genre_scores_gemma":[0.9773697,0.00022907951,0.019698462,0.000032524917,0.000042399177,0.00004895652,0.00006560147,0.000027910764,0.0024853603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998927,0.000015881638,0.000008830018,0.000021134954,0.000046858386,0.000014562598],"domain_scores_gemma":[0.9998938,0.000025449997,0.000021432475,0.000013528294,0.000039151466,0.0000066876987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015295723,0.00040533167,0.00028455132,0.00023636826,0.00018620392,0.000434645,0.0005250761,0.00022331264,0.0021455674],"category_scores_gemma":[0.0003186089,0.00010643496,0.0001857149,0.00014343114,0.00016758384,0.00032081202,0.00033263818,0.00034989713,0.00033337856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045814103,0.00014230768,0.0011603097,0.0006300996,0.0000903316,0.00035106798,0.0001822691,0.5926805,0.10569688,0.02097267,0.005470726,0.27216476],"study_design_scores_gemma":[0.000036203546,0.00021071044,0.00060401607,0.000017117402,0.00001633924,0.00007652825,0.000013922694,0.98272854,0.0071923113,0.0021610544,0.006929369,0.00001396558],"about_ca_topic_score_codex":0.0011214601,"about_ca_topic_score_gemma":0.0011662818,"teacher_disagreement_score":0.0021455674,"about_ca_system_score_codex":0.00017318725,"about_ca_system_score_gemma":0.00024003058,"threshold_uncertainty_score":0.0071775913},"labels":[],"label_agreement":null},{"id":"W4388005675","doi":"10.3390/en16217267","title":"Addressing Challenges in Long-Term Strategic Energy Planning in LMICs: Learning Pathways in an Energy Planning Ecosystem","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Universidad de Costa Rica","keywords":"Business; Interoperability; Agency (philosophy); Government (linguistics); Process management; Energy planning; Knowledge management; Environmental resource management; Computer science; Engineering; Economics; Sociology","score_opus":0.09432997918797052,"score_gpt":0.2755602737689155,"score_spread":0.18123029458094497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388005675","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":[0.113625415,0.005187051,0.26897484,0.3260242,0.00091157557,0.0014055073,0.00020202663,0.00087935774,0.2827901],"genre_scores_gemma":[0.68106633,0.0073222076,0.28051564,0.008232269,0.00021525424,0.0010822734,0.00029015928,0.00020163992,0.021074377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99016094,0.0062503354,0.00035724044,0.0005832727,0.0011166363,0.001531536],"domain_scores_gemma":[0.988781,0.005270325,0.0010421912,0.00077003206,0.0014656674,0.0026709014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020080633,0.0009026646,0.00048738928,0.0025463607,0.009122232,0.022982284,0.0034711475,0.0059555415,0.0069140787],"category_scores_gemma":[0.01373626,0.0005997525,0.0008726286,0.003705381,0.013358573,0.014661917,0.021454928,0.007837914,0.0019087156],"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":[0.000057776924,0.00043739539,0.0071511124,0.0012407083,0.000051963267,0.0019281147,0.043310687,0.015536408,0.0016875821,0.621293,0.021223802,0.2860814],"study_design_scores_gemma":[0.00004281326,0.00022521801,0.0023901497,0.0022063772,0.000027667,0.00053186517,0.12385259,0.010777503,0.0020577495,0.4916534,0.36612234,0.00011231391],"about_ca_topic_score_codex":0.006575556,"about_ca_topic_score_gemma":0.013898341,"teacher_disagreement_score":0.022982284,"about_ca_system_score_codex":0.016303334,"about_ca_system_score_gemma":0.071720265,"threshold_uncertainty_score":0.11828947},"labels":[],"label_agreement":null},{"id":"W4388018877","doi":"10.3390/en16217331","title":"Effects of Parameter Scaling on Archimedes Screw Generator Performance","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Range (aeronautics); Scaling; Experimental data; Scale (ratio); Envelope (radar); Mechanical engineering; Performance prediction; Power (physics); Reference data; Scale model; Engineering; Simulation; Computer science; Aerospace engineering; Mathematics; Geometry; Physics; Data mining","score_opus":0.007976473356547184,"score_gpt":0.20218177342314952,"score_spread":0.19420530006660233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388018877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98924094,0.00048753188,0.0072232564,0.00010508192,0.000043580192,0.000032819662,0.00025108273,0.00042834246,0.002187311],"genre_scores_gemma":[0.9986884,0.00008548092,0.0009748259,0.00000871016,0.0000034524192,0.000013768687,0.0000816112,0.000027519849,0.00011619663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993333,0.00013442048,0.000089188376,0.00015154463,0.00021879647,0.000072639625],"domain_scores_gemma":[0.99534947,0.002879761,0.00040045287,0.00075256784,0.00054820173,0.0000695546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008752287,0.00071213883,0.00039001968,0.0005093094,0.00022093726,0.0006022445,0.00036385658,0.00057531346,0.0011473693],"category_scores_gemma":[0.0071210237,0.0002928969,0.00029550542,0.00068146427,0.00043376358,0.0010419084,0.00034614454,0.00054320425,0.0004049869],"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":[0.0020044246,0.00058290065,0.05877173,0.0007885296,0.00014300524,0.0014603075,0.0007008423,0.44452724,0.36252627,0.0014232678,0.0017418405,0.12532966],"study_design_scores_gemma":[0.00009693365,0.003992455,0.07293157,0.00010286208,0.0001649699,0.0011033813,0.0007048899,0.30034295,0.61042666,0.0014223887,0.008523708,0.0001871575],"about_ca_topic_score_codex":0.00043479627,"about_ca_topic_score_gemma":0.000416847,"teacher_disagreement_score":0.0011473693,"about_ca_system_score_codex":0.000296873,"about_ca_system_score_gemma":0.00015087581,"threshold_uncertainty_score":0.004628718},"labels":[],"label_agreement":null},{"id":"W4388041225","doi":"10.3390/en16217370","title":"Study on Improving the Energy Efficiency of a Building: Utilization of Daylight through Solar Film Sheets","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Professional Engineers Ontario","funders":"University of Sharjah","keywords":"Daylight; Architectural engineering; Electric light; Sunlight; Daylighting; Energy consumption; Transmittance; Solar energy; Luminance; Computer science; Automotive engineering; Window (computing); Light intensity; Environmental science; Engineering; Optics; Materials science; Computer vision; Electrical engineering; Optoelectronics","score_opus":0.02378080651830568,"score_gpt":0.2452278119289528,"score_spread":0.2214470054106471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388041225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976291,0.00013190748,0.00074950216,0.00001084021,0.0000042669562,0.000036151785,0.000028164624,0.0000029739049,0.0014071997],"genre_scores_gemma":[0.9960937,0.00042813062,0.0019392221,0.000013126451,0.000008678901,0.00002068609,0.000047399637,0.0000034810305,0.0014455259],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998318,0.000054579526,0.000010418255,0.000030476744,0.00005327941,0.000019503068],"domain_scores_gemma":[0.99965525,0.00019069265,0.000037563255,0.000025596939,0.00007080238,0.00002016944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021810975,0.00021795489,0.00024804342,0.0002662691,0.00022317344,0.0003018953,0.00018939878,0.0002075769,0.0016992115],"category_scores_gemma":[0.0003917317,0.0000942962,0.00027602498,0.00038277655,0.00014400533,0.00036558724,0.00012617368,0.00019025018,0.00016545497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025479693,0.013178594,0.093716346,0.0030096346,0.00021705935,0.0014553947,0.0055089593,0.010130266,0.66554564,0.0026093803,0.0010106147,0.20107014],"study_design_scores_gemma":[0.00019775153,0.06078036,0.44293964,0.00015536342,0.0005065086,0.0015093485,0.008961865,0.014667538,0.4533052,0.00051002426,0.016362619,0.000103886145],"about_ca_topic_score_codex":0.0013137932,"about_ca_topic_score_gemma":0.0023340597,"teacher_disagreement_score":0.0016992115,"about_ca_system_score_codex":0.00016232123,"about_ca_system_score_gemma":0.00019637466,"threshold_uncertainty_score":0.0056844354},"labels":[],"label_agreement":null},{"id":"W4388082605","doi":"10.3390/en16217353","title":"Optical Interactions in Bio-Electricity Generation from Photosynthesis in Microfluidic Micro-Photosynthetic Power Cells","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Photosynthesis; Microbial fuel cell; Renewable energy; Materials science; Electricity generation; Optoelectronics; Raw material; Environmental science; Power (physics); Nanotechnology; Chemistry; Botany; Physics; Ecology; Biology; Organic chemistry","score_opus":0.01361420865266702,"score_gpt":0.22050118695494142,"score_spread":0.2068869783022744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388082605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92110103,0.015772648,0.046246227,0.0012717169,0.0006138784,0.00008837037,0.00023927154,0.00032095966,0.01434583],"genre_scores_gemma":[0.98148566,0.003190146,0.011441678,0.00025800068,0.00007625701,0.00005848389,0.000055267188,0.000014311307,0.0034200524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986327,0.000017499302,0.000005795564,0.000029279781,0.000058983594,0.000025072808],"domain_scores_gemma":[0.9998902,0.00005959216,0.000025579697,0.000004678756,0.00001024572,0.000009685671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019640275,0.0002470083,0.00015229115,0.00014193456,0.00023344658,0.000477298,0.00037321434,0.00042836604,0.0009529391],"category_scores_gemma":[0.00029348978,0.00019986552,0.00015174843,0.00013200333,0.00048057683,0.00059864426,0.00040923848,0.0003662095,0.00024254991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050702485,0.000052838415,0.0002525019,0.00017496837,0.000007391016,0.00018007746,0.00008365009,0.0018704659,0.98245215,0.0054360386,0.00041976274,0.00901945],"study_design_scores_gemma":[0.00003050138,0.000152286,0.0011976896,0.000020127445,0.000010602757,0.0002076249,0.000074011165,0.012041805,0.9723893,0.0016286472,0.012219719,0.000027707854],"about_ca_topic_score_codex":0.00032250906,"about_ca_topic_score_gemma":0.00069947715,"teacher_disagreement_score":0.0009529391,"about_ca_system_score_codex":0.00049189065,"about_ca_system_score_gemma":0.00020096317,"threshold_uncertainty_score":0.0035688877},"labels":[],"label_agreement":null},{"id":"W4388221616","doi":"10.3390/en16217406","title":"Review of Geomagnetically Induced Current Proxies in Mid-Latitude European Countries","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geomagnetically induced current; Blackout; Latitude; Electric power transmission; Power transmission; Meteorology; Geography; Climatology; Geology; Power (physics); Electric power system; Geomagnetic storm; Earth's magnetic field; Engineering; Geodesy","score_opus":0.010977078980948646,"score_gpt":0.260122422913721,"score_spread":0.24914534393277235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388221616","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":[0.0006231517,0.9983407,0.00010687631,0.00013899912,0.00008220133,0.0000038102526,0.00016661342,0.00000410654,0.0005335068],"genre_scores_gemma":[0.003420264,0.99585366,0.00019741815,0.00012223778,0.0000793284,0.0000070205865,0.00018197647,0.000002032663,0.00013613013],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928063,0.00016524806,0.0002467125,0.00012577129,0.00014539472,0.000036164074],"domain_scores_gemma":[0.99760675,0.001280148,0.00050698355,0.000049916278,0.0005094486,0.000046717294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013804887,0.00088812853,0.0016915738,0.0073048137,0.00019414852,0.0014204605,0.00086470053,0.00056590076,0.002124865],"category_scores_gemma":[0.0029752988,0.00036543322,0.0010139873,0.011873032,0.00036344887,0.001571689,0.0005407976,0.00035354865,0.00043553818],"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":[0.00021094816,0.000046932502,0.0070431186,0.11632153,0.0011204869,0.00035952617,0.00044595503,0.0009998103,0.0006641258,0.0029943348,0.026140807,0.8436524],"study_design_scores_gemma":[0.000023851857,0.00020340504,0.055838957,0.076144695,0.0019655249,0.0014780874,0.0006121555,0.00019691336,0.0006619254,0.0010558259,0.86175114,0.000067499],"about_ca_topic_score_codex":0.008442497,"about_ca_topic_score_gemma":0.011142816,"teacher_disagreement_score":0.008442497,"about_ca_system_score_codex":0.0008777196,"about_ca_system_score_gemma":0.0021654663,"threshold_uncertainty_score":0.016786695},"labels":[],"label_agreement":null},{"id":"W4388333444","doi":"10.3390/en16217440","title":"Comprehensive Review of Innovative Materials for Sustainable Buildings’ Energy Performance","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Commission","keywords":"Embodied energy; Building envelope; Sustainability; Renewable energy; Architectural engineering; Efficient energy use; Thermal insulation; Energy performance; Environmental economics; Environmental science; Civil engineering; Engineering; Thermal; Materials science; Nanotechnology; Layer (electronics)","score_opus":0.01703948828717698,"score_gpt":0.23599022701918085,"score_spread":0.21895073873200388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388333444","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":[0.00105186,0.995278,0.00039131136,0.00015217115,0.00018354872,0.0000110213605,0.000062845,0.000010111598,0.0028590437],"genre_scores_gemma":[0.004447296,0.9933202,0.00069633755,0.00010745463,0.00017614415,0.000013846964,0.00008510135,0.0000040725104,0.0011495241],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970394,0.000048569498,0.000048590537,0.000049918275,0.00011955135,0.000029376579],"domain_scores_gemma":[0.999703,0.00015146426,0.000043430056,0.000011043408,0.00007853315,0.000012591922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005606937,0.0008157581,0.0009230153,0.0022087912,0.00031447574,0.0009676246,0.00056841195,0.00072432484,0.0052166353],"category_scores_gemma":[0.0006057387,0.00031279412,0.0006820347,0.002281638,0.00022277546,0.001184474,0.0005187634,0.00062425545,0.0013092584],"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":[0.000090270645,0.00015685856,0.00033611368,0.09217332,0.00018485876,0.00028159114,0.00018947895,0.0010717089,0.01953252,0.010932942,0.023716927,0.85133344],"study_design_scores_gemma":[0.0000062157683,0.00015945522,0.0011395054,0.006229011,0.00022011514,0.0005569739,0.000086787935,0.00023615651,0.0052923895,0.0017163163,0.9843306,0.000026483267],"about_ca_topic_score_codex":0.00069611025,"about_ca_topic_score_gemma":0.0013374755,"teacher_disagreement_score":0.0052166353,"about_ca_system_score_codex":0.00034173363,"about_ca_system_score_gemma":0.0009243869,"threshold_uncertainty_score":0.017451346},"labels":[],"label_agreement":null},{"id":"W4388446554","doi":"10.3390/en16227471","title":"The Comparative Analysis of Carbon Pricing Policies on Canadian Northwest Territories’ Economy under Different Climate Change Scenarios","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Government of Northwest Territories","funders":"","keywords":"Computable general equilibrium; Climate change; Agriculture; Fossil fuel; Natural resource economics; Greenhouse gas; Precipitation; Index (typography); Economics; Population; Economic sector; Economy; Environmental science; Geography; Ecology; Macroeconomics","score_opus":0.017150322906352745,"score_gpt":0.23002971274337022,"score_spread":0.21287938983701749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388446554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98472506,0.00045050852,0.0006000857,0.00084003975,0.000021692353,0.000025679754,0.002706726,0.000031462263,0.010598686],"genre_scores_gemma":[0.9971451,0.00032925513,0.0002807082,0.000053883374,0.0000033675922,0.000007406361,0.0010274078,0.0000052390055,0.0011475864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941576,0.00012911153,0.000018525556,0.000057452227,0.000121417645,0.0002578179],"domain_scores_gemma":[0.998889,0.00026399564,0.000102881946,0.000057978432,0.00053877453,0.00014732184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010219641,0.00028647966,0.00039837274,0.00063690764,0.00096392154,0.0018632902,0.0007152113,0.00055543147,0.0018530003],"category_scores_gemma":[0.0027224997,0.0001690227,0.00075848174,0.0012170271,0.00054618565,0.0005165031,0.0004001153,0.0005972349,0.000087062035],"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":[0.00076519325,0.00020602952,0.2742515,0.00016177288,0.0005200623,0.0005890364,0.0003302322,0.66025066,0.002859808,0.030221846,0.008465327,0.021378545],"study_design_scores_gemma":[0.00009120583,0.00011387418,0.48278475,0.000050093295,0.00029753757,0.00007266509,0.0021518983,0.49863473,0.0019555122,0.0023572103,0.011351592,0.0001388523],"about_ca_topic_score_codex":0.9825065,"about_ca_topic_score_gemma":0.9818081,"teacher_disagreement_score":0.030557992,"about_ca_system_score_codex":0.030557992,"about_ca_system_score_gemma":0.022748213,"threshold_uncertainty_score":0.2217148},"labels":[],"label_agreement":null},{"id":"W4388446671","doi":"10.3390/en16227472","title":"Model-Driven Membrane Electrode Assembly Design for High-Performing Open-Cathode Polymer Electrolyte Membrane Fuel Cells","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Canada Research Chairs","keywords":"Cathode; Materials science; Electrolyte; Chemical engineering; Membrane electrode assembly; Power density; Microporous material; Electrode; Current density; Membrane; Composite material; Chemistry; Electrical engineering; Power (physics); Engineering","score_opus":0.02388925387577373,"score_gpt":0.2358574641353935,"score_spread":0.21196821025961976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388446671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5135066,0.0008360301,0.4736558,0.00019388812,0.000075050106,0.0001686458,0.00063964014,0.0011289819,0.009795396],"genre_scores_gemma":[0.92223287,0.00036777183,0.07548666,0.000019394995,0.0000066555253,0.00020724644,0.00023643064,0.000047893005,0.0013950974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999012,0.000014606076,0.0000044330554,0.000015079066,0.000048781174,0.000015991413],"domain_scores_gemma":[0.9999056,0.00002677671,0.00001761479,0.000013489702,0.000029495366,0.0000070799138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023794135,0.00046725117,0.00044451174,0.0001922088,0.00025461212,0.0005511007,0.0009301295,0.00061046897,0.0013206267],"category_scores_gemma":[0.0004129485,0.00028925436,0.0004369621,0.00017860495,0.00017719771,0.0005166536,0.0003755612,0.00042561226,0.00040780692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009184673,0.00008733272,0.0008425136,0.00023436488,0.000025501608,0.00013061275,0.000045861587,0.84770364,0.13658832,0.001962271,0.0003256799,0.011962046],"study_design_scores_gemma":[0.000014111946,0.00013400552,0.00041155954,0.000006414206,0.0000121960775,0.00003517886,0.000018198738,0.9586137,0.038830183,0.00040755197,0.0015047404,0.000012113867],"about_ca_topic_score_codex":0.0012284787,"about_ca_topic_score_gemma":0.0019221928,"teacher_disagreement_score":0.0013206267,"about_ca_system_score_codex":0.00044757285,"about_ca_system_score_gemma":0.0005531436,"threshold_uncertainty_score":0.004417956},"labels":[],"label_agreement":null},{"id":"W4388491543","doi":"10.3390/en16227486","title":"A Review and Analysis of Green Energy and the Environmental Policies in South Asia","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Renewable energy; Green growth; Environmental economics; Sustainability; Greenhouse gas; Software deployment; Energy policy; Environmental resource management; Efficient energy use; Energy transition; Green development; Environmental impact of the energy industry; Sustainable development; Natural resource economics; Business; Economics; Engineering; Political science; Ecology","score_opus":0.023914336892872742,"score_gpt":0.27255385956477984,"score_spread":0.2486395226719071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388491543","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":[0.002343542,0.97928214,0.0009062826,0.004473392,0.00052826456,0.00002200924,0.00012828862,0.000010757426,0.01230526],"genre_scores_gemma":[0.010310044,0.98794365,0.00048219677,0.0005351244,0.0001389691,0.000014550156,0.000055126366,0.0000045753723,0.0005156117],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857056,0.0004949317,0.00025648333,0.00013917772,0.0004320191,0.000106838546],"domain_scores_gemma":[0.9957159,0.002661849,0.00055739837,0.000116928786,0.00082516996,0.00012268625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027071198,0.0008794059,0.00085215125,0.0070577418,0.0009516535,0.0036671164,0.00085935165,0.0010548317,0.0031816806],"category_scores_gemma":[0.004675174,0.000417069,0.0009751762,0.018541256,0.0015782146,0.003529122,0.0017948647,0.0015552287,0.00046873],"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":[0.00007144443,0.00009349934,0.005145601,0.10068034,0.0004291652,0.0011427872,0.008907028,0.0042164642,0.001532802,0.10334867,0.048121225,0.72631085],"study_design_scores_gemma":[0.0000040664318,0.000047438665,0.008082817,0.05384487,0.00026837108,0.00055925496,0.0061965315,0.00043199927,0.0006813714,0.010800852,0.91903794,0.000044501307],"about_ca_topic_score_codex":0.012793024,"about_ca_topic_score_gemma":0.014788707,"teacher_disagreement_score":0.012793024,"about_ca_system_score_codex":0.0038439038,"about_ca_system_score_gemma":0.013974995,"threshold_uncertainty_score":0.02788961},"labels":[],"label_agreement":null},{"id":"W4388832859","doi":"10.3390/en16227656","title":"Stacked Ensemble Regression Model for Prediction of Furan","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Generalizability theory; Computer science; Machine learning; Reliability engineering; Furan; Reliability (semiconductor); Regression; Cross-validation; Training set; Data mining; Artificial intelligence; Power (physics); Engineering; Statistics; Mathematics","score_opus":0.025659562726077664,"score_gpt":0.23751118535356291,"score_spread":0.21185162262748525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388832859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25173026,0.002399125,0.7390503,0.0005538028,0.00026809992,0.00007406363,0.0013608617,0.0016744765,0.002888989],"genre_scores_gemma":[0.9432375,0.000821855,0.049362067,0.00012603986,0.00010236391,0.00010326194,0.002030583,0.00007291261,0.004143555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995135,0.00016117188,0.000026744447,0.00014316234,0.00008979407,0.00006568849],"domain_scores_gemma":[0.9990312,0.0005198243,0.000094340685,0.000079155514,0.00024730264,0.000028174072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015728149,0.0013475354,0.0011870442,0.000801841,0.0003226296,0.00083091715,0.0011313225,0.0009043533,0.0015126689],"category_scores_gemma":[0.0027490845,0.00033779113,0.0012764138,0.0008762957,0.00023932835,0.0008271501,0.00055468583,0.00156933,0.0007522663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001205951,0.000077028715,0.005015082,0.000041551382,0.00013353002,0.00007033726,0.00003067113,0.9409368,0.0017181507,0.0009088943,0.0015771562,0.04937012],"study_design_scores_gemma":[0.0000012739059,0.000011663054,0.00041723807,0.000002610405,0.000008069036,0.000004952172,0.0000035879348,0.9989931,0.00018245234,0.0002560133,0.00011459879,0.0000043886193],"about_ca_topic_score_codex":0.016385863,"about_ca_topic_score_gemma":0.011304419,"teacher_disagreement_score":0.016385863,"about_ca_system_score_codex":0.0004692473,"about_ca_system_score_gemma":0.0007163419,"threshold_uncertainty_score":0.03258097},"labels":[],"label_agreement":null},{"id":"W4389047975","doi":"10.3390/en16237805","title":"Joint Multi-Objective Allocation of Parking Lots and DERs in Active Distribution Network Considering Demand Response Programs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Renewable energy; Distributed generation; Software deployment; Demand response; Grid; Particle swarm optimization; Engineering; Computer science; Electricity; Electrical engineering","score_opus":0.013236159524633539,"score_gpt":0.21744851196146975,"score_spread":0.20421235243683622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389047975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4938445,0.00096238713,0.487034,0.00079282233,0.000101127946,0.00027477735,0.0003566651,0.00025641284,0.01637717],"genre_scores_gemma":[0.9874135,0.0001378561,0.010225905,0.0000426173,0.00001449711,0.000076543714,0.0000679452,0.00001635129,0.0020047743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995541,0.00022628967,0.000013089605,0.00006293091,0.000044968347,0.00009859661],"domain_scores_gemma":[0.99885166,0.0007575078,0.00012558201,0.000018542523,0.0001481986,0.00009842495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124914,0.0012451825,0.0011853426,0.00066183176,0.00036879827,0.0014477727,0.00081354874,0.0011723349,0.0020129967],"category_scores_gemma":[0.0016533085,0.0006329933,0.0006265022,0.00064602686,0.0006319435,0.0008019586,0.000687961,0.0006816955,0.00012812774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037660986,0.000018627296,0.00027073277,0.000019323346,0.000013180657,0.00004539703,0.000008644342,0.99747986,0.00014030143,0.00053850905,0.00010391275,0.0013238513],"study_design_scores_gemma":[0.0000057541224,0.000018718094,0.00010379813,0.0000020086034,0.0000062112795,0.0000034933116,0.00001434334,0.9994506,0.00005362079,0.0002917942,0.000047890266,0.000001643789],"about_ca_topic_score_codex":0.010219955,"about_ca_topic_score_gemma":0.007694383,"teacher_disagreement_score":0.010219955,"about_ca_system_score_codex":0.0012458379,"about_ca_system_score_gemma":0.0011485104,"threshold_uncertainty_score":0.020320952},"labels":[],"label_agreement":null},{"id":"W4389056846","doi":"10.3390/en16237774","title":"Valorisation of Cranberry Residues through Pyrolysis and Membrane Filtration for the Production of Value-Added Agricultural Products","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Institut National de la Recherche Scientifique","funders":"Institut national de la recherche scientifique; Ministry of Agriculture - Saskatchewan; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Chemistry; Pyrolysis; Acetic acid; Membrane; Phenols; Biochar; Reverse osmosis; Pulp and paper industry; Food science; Chromatography; Organic chemistry; Biochemistry","score_opus":0.014823307433080036,"score_gpt":0.21509621964582698,"score_spread":0.20027291221274696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389056846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072874,0.0014300008,0.005993191,0.000065829605,0.000017991542,0.00003669694,0.0001606307,0.000067325505,0.0014996473],"genre_scores_gemma":[0.9843647,0.0020021794,0.010016642,0.000031748823,0.0000051036873,0.00002997919,0.0003421673,0.000028727565,0.0031788677],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999088,0.00000914316,0.0000055457763,0.000019436868,0.000031204352,0.000025818174],"domain_scores_gemma":[0.9999714,0.000003414359,0.000010100968,0.0000029065193,0.0000056445406,0.0000065070576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013541422,0.00041809084,0.00027156106,0.00024223838,0.00020566299,0.00029525647,0.00020566925,0.00022348668,0.00038267495],"category_scores_gemma":[0.00010928398,0.000114812006,0.00037923286,0.00025791884,0.00012584146,0.00026919667,0.00021377135,0.0003634092,0.00020266148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018778099,0.000014265421,0.000118914286,0.0000412507,0.0000051228626,0.00004408107,0.0000133344865,0.0000951199,0.9975406,0.00003828676,0.000015391373,0.002054791],"study_design_scores_gemma":[0.00000461383,0.00007665152,0.0021047543,0.000011017454,0.000015076849,0.00013825172,0.000028219129,0.0005983198,0.9950429,0.000021403199,0.0019539848,0.000004681154],"about_ca_topic_score_codex":0.0041365502,"about_ca_topic_score_gemma":0.006047972,"teacher_disagreement_score":0.0041365502,"about_ca_system_score_codex":0.00030111088,"about_ca_system_score_gemma":0.0003575587,"threshold_uncertainty_score":0.008224964},"labels":[],"label_agreement":null},{"id":"W4389537743","doi":"10.3390/en16248007","title":"Kraft Lignin Electro-Oxidation under Ambient Temperature and Pressure","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Vanillin; Lignin; Vanillic acid; Chemistry; Catalysis; Kraft paper; Yield (engineering); Chemical engineering; Oxygen; Organic chemistry; Pulp and paper industry; Materials science; Metallurgy","score_opus":0.0036779100551699454,"score_gpt":0.18383812485483952,"score_spread":0.18016021479966957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389537743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905676,0.0011207965,0.0043204916,0.00011945162,0.000039342423,0.000019694628,0.00023842607,0.000103672464,0.0034704804],"genre_scores_gemma":[0.99642485,0.000566347,0.001278796,0.000028501798,0.000007823351,0.000010970852,0.00011893998,0.000012944068,0.0015508799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997079,0.000025084024,0.000016970824,0.00006268462,0.0001095058,0.00007786786],"domain_scores_gemma":[0.9999242,0.000014431149,0.000014881065,0.000013561257,0.000026547756,0.000006304598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021055718,0.00037139448,0.00020911625,0.00015125294,0.00020934526,0.00031437623,0.00030723767,0.000293958,0.0010142144],"category_scores_gemma":[0.00029544963,0.00016795179,0.00021030135,0.00025995038,0.00023586962,0.0004578051,0.0002822307,0.00051072455,0.00030998423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005283071,0.000012697387,0.00024528985,0.00005919434,0.000007893007,0.00005761734,0.00004824404,0.00015439256,0.9964799,0.00014471164,0.00008798852,0.002649205],"study_design_scores_gemma":[0.0000033138228,0.00007846355,0.0011629246,0.000004284338,0.000006871104,0.000049993898,0.000038136357,0.00084721245,0.9968681,0.00004218485,0.00089461106,0.000003858819],"about_ca_topic_score_codex":0.0016604419,"about_ca_topic_score_gemma":0.0034818475,"teacher_disagreement_score":0.0016604419,"about_ca_system_score_codex":0.00024680846,"about_ca_system_score_gemma":0.00016739922,"threshold_uncertainty_score":0.0033928752},"labels":[],"label_agreement":null},{"id":"W4389624797","doi":"10.3390/en16248017","title":"Experimental Study of an Air-Conditioning System in an Electric Vehicle with R1234yf","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; HVAC; Coefficient of performance; Air conditioning; Air source heat pumps; Gas compressor; Coolant; Automotive engineering; Nuclear engineering; Intercooler; Water chiller; Cooling capacity; Water cooling; Heat pump; Environmental science; Heat exchanger; Engineering; Mechanical engineering","score_opus":0.009760906259533856,"score_gpt":0.23327685256821556,"score_spread":0.2235159463086817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389624797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951633,0.00013441333,0.0030917428,0.000053277203,0.00006364708,0.00016301486,0.0003407605,0.000108054126,0.00088169094],"genre_scores_gemma":[0.99546105,0.00011991666,0.002397638,0.000022430735,0.000015447102,0.000104206854,0.00015925756,0.000018454537,0.0017015425],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992481,0.00009265094,0.00006283705,0.00022264967,0.00022855088,0.00014513895],"domain_scores_gemma":[0.9991978,0.00017955102,0.000055540364,0.00010131445,0.00036174804,0.00010414872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067911437,0.0007511743,0.0009845443,0.00051888527,0.0012101555,0.00049867725,0.00097785,0.0008235737,0.0047695106],"category_scores_gemma":[0.00085157366,0.0003236274,0.0005967055,0.0003418377,0.00061315944,0.0008688433,0.000568854,0.00059836556,0.0007905131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026557718,0.0024821402,0.008640281,0.001227328,0.00010471295,0.0007609312,0.0010282702,0.012232312,0.9494446,0.00062511873,0.0010443386,0.01975429],"study_design_scores_gemma":[0.00041189772,0.028234081,0.039347466,0.000080185935,0.00023636497,0.00035853282,0.0011513782,0.043952607,0.8791599,0.000261966,0.006690084,0.00011550057],"about_ca_topic_score_codex":0.0024340416,"about_ca_topic_score_gemma":0.0024701168,"teacher_disagreement_score":0.0047695106,"about_ca_system_score_codex":0.00045589008,"about_ca_system_score_gemma":0.00061816233,"threshold_uncertainty_score":0.015955567},"labels":[],"label_agreement":null},{"id":"W4389781398","doi":"10.3390/en16248086","title":"Comparative Analysis and Optimal Operation of an On-Grid and Off-Grid Solar Photovoltaic-Based Electric Vehicle Charging Station","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"Politechnika Bialostocka","keywords":"Photovoltaic system; Grid; Charging station; Grid-connected photovoltaic power system; Computer science; Electric vehicle; Solar power; Integer programming; Automotive engineering; Electrical engineering; Power (physics); Engineering; Maximum power point tracking; Voltage; Mathematics","score_opus":0.007389265982736923,"score_gpt":0.22593960600912316,"score_spread":0.21855034002638624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389781398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84162754,0.0005233686,0.105332114,0.0004898249,0.00008090957,0.00016721964,0.00055495225,0.00026943276,0.050954603],"genre_scores_gemma":[0.99552023,0.00006817631,0.0031581703,0.0000098444325,0.0000031016552,0.000014649037,0.000062890875,0.000012129002,0.0011507705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971205,0.00010515428,0.000009199835,0.000039122107,0.000063388004,0.000071060625],"domain_scores_gemma":[0.99961,0.00019457625,0.00003975119,0.000026349711,0.00009874346,0.000030498475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785046,0.0005576268,0.0004731351,0.00056647573,0.0003315921,0.0012892424,0.0005588356,0.0005704894,0.0027527146],"category_scores_gemma":[0.0011127096,0.0003471333,0.0005743161,0.00050628156,0.00031250794,0.0008115024,0.00048597853,0.0004827545,0.00024129741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012785356,0.00004984783,0.0015502407,0.00004788039,0.000020975964,0.00006696802,0.000012823964,0.98729604,0.0011345055,0.0026355246,0.00030944095,0.0067479885],"study_design_scores_gemma":[0.00001293269,0.000101577876,0.0007393025,0.00000454003,0.00001968897,0.00001411287,0.00004974386,0.9970283,0.00092138204,0.0007558824,0.00034829715,0.000004285603],"about_ca_topic_score_codex":0.00972263,"about_ca_topic_score_gemma":0.012344649,"teacher_disagreement_score":0.00972263,"about_ca_system_score_codex":0.0015290485,"about_ca_system_score_gemma":0.0011801735,"threshold_uncertainty_score":0.019332051},"labels":[],"label_agreement":null},{"id":"W4389815887","doi":"10.3390/en16248073","title":"Investigation of Emulsified Oil Adsorption onto Functionalized Magnetic Nanoparticles—Kinetic and Isotherm Models","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated","keywords":"Adsorption; Freundlich equation; Zeta potential; Chemical engineering; van der Waals force; Aqueous solution; Nanoparticle; Chemistry; Surface charge; Pulmonary surfactant; Contact angle; Bromide; Magnetic nanoparticles; Materials science; Chromatography; Organic chemistry; Physical chemistry; Molecule","score_opus":0.03741650928224798,"score_gpt":0.2354342234250078,"score_spread":0.19801771414275982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389815887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553045,0.0032677404,0.036150943,0.0002202977,0.00006974852,0.00012418957,0.0009997196,0.00043438622,0.003428546],"genre_scores_gemma":[0.9839569,0.002685665,0.009079113,0.000081312595,0.000020086723,0.00015760816,0.00072648074,0.000071808434,0.0032212632],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995597,0.00005619011,0.000032731547,0.00009591314,0.00017857572,0.00007681735],"domain_scores_gemma":[0.99957186,0.00019450426,0.000073997624,0.00002483908,0.00011926102,0.000015496935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062814704,0.0009560739,0.00059054804,0.00076172786,0.00020955456,0.00031462658,0.0011186156,0.0007506898,0.0008999912],"category_scores_gemma":[0.0012777317,0.0002784862,0.0008716127,0.00061732304,0.00027281814,0.00075661816,0.0002524687,0.0008689392,0.000657549],"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":[0.00013847311,0.00011611756,0.00075696176,0.0003104162,0.000046149627,0.0001317021,0.00009846305,0.0044592097,0.9875639,0.0006102046,0.00016392671,0.005604395],"study_design_scores_gemma":[0.000013874293,0.00025191295,0.0016476286,0.000014084962,0.000031203435,0.00008698359,0.00005581164,0.09544185,0.9007282,0.00023300649,0.0014707025,0.000024768462],"about_ca_topic_score_codex":0.0046052486,"about_ca_topic_score_gemma":0.0028995052,"teacher_disagreement_score":0.0046052486,"about_ca_system_score_codex":0.000867871,"about_ca_system_score_gemma":0.00027966223,"threshold_uncertainty_score":0.009156883},"labels":[],"label_agreement":null},{"id":"W4389881501","doi":"10.3390/en16248116","title":"Lithofacies Identification from Wire-Line Logs Using an Unsupervised Data Clustering Algorithm","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Identification (biology); Unsupervised learning; Data mining; Artificial intelligence; Artificial neural network; Algorithm; Machine learning; Pattern recognition (psychology)","score_opus":0.08341039727260643,"score_gpt":0.29440775567924365,"score_spread":0.21099735840663722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389881501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17952982,0.0001710499,0.81373286,0.00014884816,0.000038252387,0.0004011068,0.0012136005,0.0027477616,0.002016639],"genre_scores_gemma":[0.28324023,0.000088677334,0.71055704,0.000058258047,0.00002591764,0.00028817405,0.0039052337,0.0001046454,0.001731735],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991346,0.00009707475,0.00009636533,0.00031508872,0.00028102507,0.000075887],"domain_scores_gemma":[0.99874806,0.00027364425,0.00021550088,0.0002059242,0.000512669,0.00004417957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069735956,0.00078142044,0.00066402217,0.0027508591,0.00079278083,0.0007678208,0.0014241575,0.00079703896,0.0005217539],"category_scores_gemma":[0.0023543348,0.0002840829,0.0010000522,0.0019864938,0.00045855957,0.00069936586,0.0008545443,0.00066986197,0.00053352216],"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":[0.00039088595,0.0006228696,0.04506925,0.0002248371,0.00026897882,0.00030790202,0.0008146808,0.17367156,0.037006814,0.0036023736,0.0067857807,0.73123395],"study_design_scores_gemma":[0.000033451928,0.00007691936,0.012255886,0.000022348464,0.000044493234,0.00019402365,0.00033215684,0.9651091,0.014897735,0.0026895432,0.0043009347,0.00004332417],"about_ca_topic_score_codex":0.011429642,"about_ca_topic_score_gemma":0.017466936,"teacher_disagreement_score":0.011429642,"about_ca_system_score_codex":0.00060819474,"about_ca_system_score_gemma":0.001494278,"threshold_uncertainty_score":0.022726238},"labels":[],"label_agreement":null},{"id":"W4390176003","doi":"10.3390/en17010114","title":"Bayesian Inference-Based Energy Management Strategy for Techno-Economic Optimization of a Hybrid Microgrid","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Microgrid; Energy management; Inference; Computer science; Bayesian inference; Energy consumption; Bayesian probability; Mathematical optimization; Operations research; Artificial intelligence; Engineering; Control (management); Energy (signal processing); Mathematics","score_opus":0.011189644169557648,"score_gpt":0.21722012832774074,"score_spread":0.2060304841581831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390176003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018686885,0.000110885834,0.9733493,0.00030972288,0.000017267821,0.00007718771,0.000055868728,0.00011041235,0.007282564],"genre_scores_gemma":[0.8441672,0.00021076931,0.15061972,0.00011121474,0.00003670321,0.00031034564,0.00011626407,0.000062103616,0.004365597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991259,0.00042277412,0.000026328313,0.00009594131,0.00024797342,0.00008112252],"domain_scores_gemma":[0.99893767,0.00077376864,0.00009236864,0.000028304468,0.00012850609,0.00003937827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270591,0.0008470498,0.0011046113,0.0008365207,0.0004912756,0.001479814,0.0012574131,0.0010530986,0.00305343],"category_scores_gemma":[0.0039726114,0.00074767554,0.00093898835,0.00056461524,0.0009765662,0.0013145437,0.0012169009,0.0011397788,0.0002522721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002807699,0.000024090807,0.00019157537,0.000022840999,0.000028898685,0.000029757311,0.00002448741,0.97086346,0.0002924384,0.021871055,0.00021930296,0.0064039687],"study_design_scores_gemma":[0.0000048576535,0.000009165479,0.000036985104,0.000003127272,0.000004519957,0.000002787508,0.0000044387816,0.9948073,0.00006467607,0.004924023,0.00013524485,0.0000029801167],"about_ca_topic_score_codex":0.0073364307,"about_ca_topic_score_gemma":0.006406358,"teacher_disagreement_score":0.0073364307,"about_ca_system_score_codex":0.0016170933,"about_ca_system_score_gemma":0.0018435417,"threshold_uncertainty_score":0.014587462},"labels":[],"label_agreement":null},{"id":"W4390232222","doi":"10.3390/en17010133","title":"Technoeconomic Analysis of Torrefaction and Steam Explosion Pretreatment Prior to Pelletization of Selected Biomass","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Torrefaction; Pelletizing; Raw material; Pellet; Pellets; Pulp and paper industry; Steam explosion; Sawdust; Environmental science; Waste management; Biomass (ecology); Straw; Materials science; Pyrolysis; Engineering; Chemistry; Agronomy; Composite material","score_opus":0.00607054449016142,"score_gpt":0.20160507984144888,"score_spread":0.19553453535128745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390232222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947187,0.00008429741,0.0032968097,0.000024553947,0.000003190274,0.000046604888,0.00032365634,0.000020326721,0.0014818754],"genre_scores_gemma":[0.9983125,0.00010983886,0.0008805572,0.0000048779457,9.35051e-7,0.0000302504,0.00025693866,0.0000063483794,0.00039785856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996753,0.00006193299,0.0000150198075,0.000043593634,0.00013713585,0.000066974346],"domain_scores_gemma":[0.9994728,0.00029987254,0.0000825293,0.000021492313,0.000106072956,0.000017272903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057955756,0.0006513784,0.0005283736,0.0006979433,0.0003262718,0.00075835484,0.0004033781,0.00051656936,0.001259218],"category_scores_gemma":[0.0005925617,0.00022623605,0.0010145922,0.0007492947,0.00026661638,0.00065853144,0.00017934405,0.00046682355,0.0001538457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009942241,0.00034489128,0.019644866,0.00025448238,0.000112929316,0.00079587736,0.000043820644,0.8581107,0.100663826,0.0009496203,0.0002523619,0.017832324],"study_design_scores_gemma":[0.00006502261,0.0028544497,0.048277795,0.000022099674,0.00016475943,0.00016930234,0.00027233962,0.782128,0.16427357,0.0007631495,0.0009447502,0.000064821324],"about_ca_topic_score_codex":0.0077688983,"about_ca_topic_score_gemma":0.008073588,"teacher_disagreement_score":0.0077688983,"about_ca_system_score_codex":0.001896624,"about_ca_system_score_gemma":0.0006209766,"threshold_uncertainty_score":0.015447378},"labels":[],"label_agreement":null},{"id":"W4390234906","doi":"10.3390/en17010123","title":"Optimal Unit Commitment and Generation Scheduling of Integrated Power System with Plug-In Electric Vehicles and Renewable Energy Sources","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University; University of Calgary","funders":"Mitacs","keywords":"Wind power; Electric power system; Automotive engineering; Renewable energy; Power system simulation; Scheduling (production processes); Electric vehicle; Electricity generation; Engineering; Computer science; Electrical engineering; Power (physics); Operations management","score_opus":0.0065092381511497035,"score_gpt":0.1818047780697311,"score_spread":0.1752955399185814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390234906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2934195,0.0006021296,0.6944384,0.00036484713,0.00007150677,0.00019061763,0.00018989801,0.00050429924,0.010218802],"genre_scores_gemma":[0.96450335,0.00009272166,0.03338289,0.000025330255,0.000011194073,0.00008872895,0.000102867234,0.00003003473,0.0017628206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972147,0.00012374968,0.000010837696,0.000048122292,0.000044733755,0.00005116025],"domain_scores_gemma":[0.99952555,0.00026441185,0.00007287371,0.00002461138,0.000065571854,0.00004699161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006314122,0.0008143208,0.00087079173,0.0003637993,0.0003462107,0.0008910686,0.000868782,0.0005590018,0.001723521],"category_scores_gemma":[0.0013446292,0.00050238677,0.0003569841,0.0006119113,0.00041012187,0.0005074878,0.000564885,0.0008940971,0.00020647248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057267534,0.000013209447,0.00020769777,0.000013846154,0.000012093404,0.000019833038,0.000011556875,0.9937169,0.0002070716,0.00072154397,0.0001487234,0.0048703104],"study_design_scores_gemma":[0.000005821367,0.000012555459,0.000042003834,0.0000012375862,0.000002063648,0.0000021245753,0.00000399771,0.9995449,0.000087540335,0.0002446022,0.000052010073,0.0000011667277],"about_ca_topic_score_codex":0.012885078,"about_ca_topic_score_gemma":0.009118875,"teacher_disagreement_score":0.012885078,"about_ca_system_score_codex":0.00087410526,"about_ca_system_score_gemma":0.0010879579,"threshold_uncertainty_score":0.025620103},"labels":[],"label_agreement":null},{"id":"W4390236210","doi":"10.3390/en17010130","title":"Large-Scale Hydrogen Production Systems Using Marine Renewable Energies: State-of-the-Art","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Renewable energy; Hydrogen production; Sustainability; Hydrogen technologies; Hydrogen storage; Environmental science; Context (archaeology); Process engineering; Energy carrier; Hydrogen economy; Software deployment; Energy storage; Computer science; Environmental economics; Engineering; Hydrogen; Chemistry; Electrical engineering; Ecology; Physics","score_opus":0.015304478293330846,"score_gpt":0.22942654151374692,"score_spread":0.21412206322041608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390236210","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":[0.037477825,0.8215601,0.095014855,0.0017308566,0.00074803777,0.00015332388,0.00064681115,0.0005663381,0.042101853],"genre_scores_gemma":[0.2814343,0.67976195,0.030212142,0.0004631183,0.00060203834,0.00015125466,0.0012853226,0.00016389205,0.00592593],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943787,0.00007312203,0.000044663102,0.0001190898,0.00028182438,0.00004347091],"domain_scores_gemma":[0.9988399,0.00061284314,0.00010571866,0.00012737277,0.00026903118,0.000045222536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013748967,0.0006522792,0.0009628632,0.0009377389,0.00039263084,0.002420154,0.0011285739,0.0009734441,0.0026906903],"category_scores_gemma":[0.0018851722,0.00059481914,0.00086313114,0.0017395217,0.00059127115,0.0035893298,0.0010366238,0.0008743018,0.0012095344],"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":[0.00021895849,0.000188016,0.00229229,0.014713735,0.0001631436,0.00037146063,0.00037879677,0.052174002,0.022002341,0.06561186,0.011507979,0.83037734],"study_design_scores_gemma":[0.000025209223,0.00095353654,0.0031292615,0.0029424052,0.000352314,0.000752373,0.00060673227,0.09984644,0.04601303,0.033442166,0.81169516,0.00024144893],"about_ca_topic_score_codex":0.001406509,"about_ca_topic_score_gemma":0.0010565021,"teacher_disagreement_score":0.0026906903,"about_ca_system_score_codex":0.0009467843,"about_ca_system_score_gemma":0.00076790975,"threshold_uncertainty_score":0.009001315},"labels":[],"label_agreement":null},{"id":"W4390412226","doi":"10.3390/en17010198","title":"Oxygen Carrier Circulation Rate for Novel Cold Flow Chemical Looping Reactors","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Natural Resources Canada","funders":"Natural Resources Canada; Government of Canada","keywords":"Fluidization; Chemical looping combustion; Volumetric flow rate; Purge; Chemistry; Environmental science; Waste management; Fluidized bed; Mechanics; Nuclear engineering; Engineering; Physics","score_opus":0.017688087008817636,"score_gpt":0.2221897392830502,"score_spread":0.20450165227423256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390412226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930989,0.0002841177,0.0060945908,0.000024620613,0.000010160673,0.000014824239,0.00006052562,0.0000814671,0.000330812],"genre_scores_gemma":[0.99656904,0.00010704498,0.0029529133,0.0000037342454,0.000002736815,0.000009933252,0.00006957649,0.000006698164,0.00027834816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983764,0.00002274593,0.00001094019,0.00004431618,0.000059740836,0.000024537214],"domain_scores_gemma":[0.99962854,0.00015305309,0.00011035222,0.000018520877,0.0000699695,0.000019539219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057194306,0.00019987275,0.00020546913,0.00034949507,0.00018239825,0.00041489178,0.00050578476,0.00021613976,0.00062664464],"category_scores_gemma":[0.00074817735,0.0001120631,0.00016730413,0.00019548934,0.00020033048,0.00052668713,0.00015596942,0.00028303938,0.000097683536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005397676,0.00010913265,0.0025431663,0.000077083605,0.000005457444,0.000028932307,0.000056305664,0.0051879575,0.97862005,0.00041009075,0.00006334928,0.012358699],"study_design_scores_gemma":[0.000025577316,0.0007964545,0.0027976201,0.000003519755,0.000013659369,0.0000251717,0.000020018912,0.035442077,0.9601,0.00006630279,0.0006969311,0.000012683867],"about_ca_topic_score_codex":0.00088343804,"about_ca_topic_score_gemma":0.0009621567,"teacher_disagreement_score":0.00088343804,"about_ca_system_score_codex":0.00060429686,"about_ca_system_score_gemma":0.00021549754,"threshold_uncertainty_score":0.0043845177},"labels":[],"label_agreement":null},{"id":"W4390589358","doi":"10.3390/en17010266","title":"The Effect of Internal Combustion Engine Nozzle Needle Profile on Fuel Atomization Quality","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerstwo Edukacji i Nauki; Uniwersytet Szczeciński","keywords":"Sauter mean diameter; Nozzle; Mechanics; Spray characteristics; Flow (mathematics); Turbulence; Materials science; Spray nozzle; Chemistry; Mechanical engineering; Engineering; Physics","score_opus":0.007540492457272614,"score_gpt":0.2664325306038927,"score_spread":0.2588920381466201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390589358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918826,0.00082206813,0.006059842,0.000023569499,0.000020050595,0.000036063513,0.00015097625,0.00015226837,0.0008525006],"genre_scores_gemma":[0.99656576,0.0003000003,0.0025749677,0.000015229809,0.0000036315373,0.00000745896,0.00011274629,0.000053258944,0.0003668643],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989477,0.000102160644,0.00007565929,0.00023725125,0.0005014136,0.00013582561],"domain_scores_gemma":[0.9982116,0.00065970985,0.00038756864,0.00018399426,0.0004786236,0.000078491714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000728563,0.00044441974,0.0004306143,0.00033495965,0.0002154928,0.00074557663,0.00038725158,0.00041970008,0.0010877097],"category_scores_gemma":[0.003368304,0.00022424292,0.0002716711,0.00041063534,0.00029627894,0.00049596315,0.00031385993,0.00029606634,0.00029449546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006111698,0.000081604754,0.007046379,0.00017028388,0.000023804843,0.0002130283,0.00012523764,0.0032274951,0.9719535,0.000098199336,0.00008090232,0.016368391],"study_design_scores_gemma":[0.000018888937,0.0015740227,0.024035145,0.000015506115,0.00004799287,0.00021418091,0.00012766916,0.006277316,0.96683663,0.00003207795,0.0007992011,0.000021450029],"about_ca_topic_score_codex":0.0011664918,"about_ca_topic_score_gemma":0.0011723606,"teacher_disagreement_score":0.0011664918,"about_ca_system_score_codex":0.00039286373,"about_ca_system_score_gemma":0.00026213858,"threshold_uncertainty_score":0.003853023},"labels":[],"label_agreement":null},{"id":"W4390663692","doi":"10.3390/en17020292","title":"N − k Static Security Assessment for Power Transmission System Planning Using Machine Learning","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Hydro-Québec","funders":"Hydro-Québec","keywords":"Computer science; Transmission (telecommunications); Metric (unit); Electric power system; Perceptron; Reliability (semiconductor); Probabilistic logic; Reliability engineering; Power (physics); Mathematical optimization; Artificial neural network; Simulation; Engineering; Machine learning; Artificial intelligence; Mathematics","score_opus":0.010105689098706861,"score_gpt":0.26111755147986127,"score_spread":0.2510118623811544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390663692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035782855,0.00011919669,0.9616679,0.00009398844,0.000013028269,0.00006142395,0.00010039732,0.0003405981,0.0018206283],"genre_scores_gemma":[0.7523357,0.000125358,0.24581082,0.000041973453,0.000031690113,0.00018518126,0.00027968214,0.000057876205,0.0011316525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994087,0.00022925915,0.000039137773,0.00010880462,0.00016114407,0.000052783795],"domain_scores_gemma":[0.9986639,0.0008011474,0.00019120483,0.00009461616,0.00020411809,0.000044969016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353744,0.00079893775,0.00071146863,0.0010368772,0.00049646734,0.0007576932,0.00078186096,0.00045780616,0.0022330438],"category_scores_gemma":[0.004041429,0.00042172623,0.0006207272,0.00072033674,0.0004794393,0.000984844,0.00072144385,0.0007538279,0.00026095784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024687239,0.000022574422,0.001065623,0.000031822015,0.00002435803,0.00002270329,0.00001814501,0.9510254,0.00042596698,0.0020927915,0.00020801798,0.04503798],"study_design_scores_gemma":[0.0000010805896,0.000016013413,0.00018932755,0.000004239084,0.0000026917721,0.0000059849453,0.0000044610406,0.9979108,0.00018497405,0.0015643688,0.00011363927,0.0000024805242],"about_ca_topic_score_codex":0.00628812,"about_ca_topic_score_gemma":0.0071228147,"teacher_disagreement_score":0.00628812,"about_ca_system_score_codex":0.0011390835,"about_ca_system_score_gemma":0.00150491,"threshold_uncertainty_score":0.012503028},"labels":[],"label_agreement":null},{"id":"W4390670030","doi":"10.3390/en17020307","title":"An Empirical Mode Decomposition-Based Hybrid Model for Sub-Hourly Load Forecasting","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Hilbert–Huang transform; Series (stratigraphy); Range (aeronautics); Mode (computer interface); Context (archaeology); Computer science; Term (time); Algorithm; Decomposition; Singular spectrum analysis; Time series; Detrended fluctuation analysis; Mathematics; Singular value decomposition; Statistics; Machine learning; Engineering","score_opus":0.02728204635523143,"score_gpt":0.31008329033648135,"score_spread":0.28280124398124995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390670030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086017646,0.0012349626,0.9044281,0.0004385429,0.00020551133,0.00006460228,0.00059985975,0.0016884495,0.005322281],"genre_scores_gemma":[0.8969855,0.00077259727,0.09333634,0.00018082537,0.000088812594,0.00019685173,0.0010607324,0.00011428674,0.0072640637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981016,0.000033851837,0.0000144639325,0.00006735311,0.000047271926,0.00002692215],"domain_scores_gemma":[0.9998023,0.000079403966,0.000020577847,0.000016390419,0.00007022053,0.000011068525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005249435,0.00066430325,0.0006325241,0.00046249796,0.0002319395,0.00068769814,0.00097008556,0.00061345525,0.0018943984],"category_scores_gemma":[0.0008896438,0.00031069553,0.0008637153,0.0005121334,0.00018801296,0.0009166394,0.00054488203,0.0010689807,0.0005309081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012855683,0.000089384695,0.0030608014,0.000083472456,0.00011202536,0.000089624475,0.00010535819,0.87046325,0.005096509,0.0034270033,0.002569999,0.11477401],"study_design_scores_gemma":[0.000002084254,0.0000071360687,0.00020097691,0.0000022868926,0.000004807929,0.0000052903874,0.0000034184843,0.99896777,0.0001960283,0.00036159114,0.00024501997,0.0000035733312],"about_ca_topic_score_codex":0.012030508,"about_ca_topic_score_gemma":0.008454908,"teacher_disagreement_score":0.012030508,"about_ca_system_score_codex":0.0004366525,"about_ca_system_score_gemma":0.00055948796,"threshold_uncertainty_score":0},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"grok","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"opus","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W4390696504","doi":"10.3390/en17020346","title":"Wind Turbine Damage Equivalent Load Assessment Using Gaussian Process Regression Combining Measurement and Synthetic Data","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"SCADA; Kriging; Turbine; Wind power; Reliability engineering; Ground-penetrating radar; Computer science; Reliability (semiconductor); Engineering; Process (computing); Data mining; Machine learning; Radar","score_opus":0.05318362628082352,"score_gpt":0.3539070273160149,"score_spread":0.3007234010351914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390696504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7653587,0.00012189732,0.23149419,0.00012141515,0.000023631888,0.00005314503,0.0003787172,0.0010133606,0.0014349625],"genre_scores_gemma":[0.98771125,0.000030902436,0.011759079,0.000010679351,0.000005926023,0.0000118879925,0.0002686844,0.000021135138,0.00018035849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992366,0.00025202386,0.00004602898,0.00019017121,0.00022396278,0.000051366573],"domain_scores_gemma":[0.9982628,0.00079091213,0.00032468844,0.0002531673,0.00032565132,0.00004278538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159441,0.000754685,0.0004966446,0.0013378283,0.00016738822,0.0008106059,0.00052860356,0.0006885694,0.00048042266],"category_scores_gemma":[0.004924856,0.00024517914,0.00054599455,0.0011038838,0.00032985257,0.0011429247,0.0006983348,0.00048633837,0.00026732907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017874717,0.00020209096,0.035325184,0.00006205916,0.000109383145,0.0001610589,0.00007535645,0.890924,0.0069936477,0.0007746137,0.00045649198,0.06473734],"study_design_scores_gemma":[0.0000035973749,0.00005781017,0.006452378,0.0000032243308,0.000008066029,0.000028600076,0.000019149868,0.9919482,0.001161992,0.00020919145,0.00009951051,0.000008226686],"about_ca_topic_score_codex":0.0038528994,"about_ca_topic_score_gemma":0.003469424,"teacher_disagreement_score":0.0038528994,"about_ca_system_score_codex":0.00034290258,"about_ca_system_score_gemma":0.00033620323,"threshold_uncertainty_score":0.00843215},"labels":[],"label_agreement":null},{"id":"W4390788856","doi":"10.3390/en17020385","title":"Exploring the Impacts of Carbon Pricing on Canada’s Electricity Sector","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","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 Victoria","funders":"","keywords":"Greenhouse gas; Electricity; Renewable energy; Natural resource economics; Carbon price; Electricity pricing; Environmental economics; Fossil fuel; Business; Government (linguistics); Economics; Electric power system; Electric power industry; Electricity market; Power (physics); Engineering; Ecology","score_opus":0.1359444965895805,"score_gpt":0.23196088605303108,"score_spread":0.09601638946345059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390788856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485049,0.0007127364,0.0014101976,0.004782401,0.000044561384,0.000080035585,0.003443529,0.00006962318,0.040951967],"genre_scores_gemma":[0.99536836,0.00040900562,0.0006310587,0.00018463093,0.0000052143264,0.00001109055,0.00074582343,0.0000114537925,0.0026333136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988111,0.0002812563,0.000020438556,0.0000813958,0.00021082065,0.0005948322],"domain_scores_gemma":[0.9976482,0.0008946288,0.00016415182,0.000066261564,0.000950563,0.00027626078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012845668,0.00047626067,0.00042552868,0.00086317427,0.0018656079,0.0027507008,0.0011277926,0.0008873407,0.0035024749],"category_scores_gemma":[0.004989312,0.00029206366,0.0007470196,0.002177879,0.0009994931,0.0011104172,0.00084579125,0.0014778923,0.0001382355],"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":[0.0004447134,0.00025674692,0.09895177,0.00016813098,0.00020948038,0.0005434259,0.0003283946,0.82079417,0.00091048726,0.05002707,0.01090415,0.01646154],"study_design_scores_gemma":[0.00026182827,0.0002248623,0.11941473,0.00009232169,0.0003007471,0.00007146215,0.0041002342,0.8432435,0.0015912033,0.0153127145,0.015239335,0.00014708767],"about_ca_topic_score_codex":0.99361765,"about_ca_topic_score_gemma":0.99249274,"teacher_disagreement_score":0.06951256,"about_ca_system_score_codex":0.06951256,"about_ca_system_score_gemma":0.062296096,"threshold_uncertainty_score":0.50435126},"labels":[],"label_agreement":null},{"id":"W4390789546","doi":"10.3390/en17020376","title":"From White to Black-Box Models: A Review of Simulation Tools for Building Energy Management and Their Application in Consulting Practices","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Building energy simulation; Black box; Efficient energy use; White box; Building science; Energy (signal processing); Transparency (behavior); Energy management; Architectural engineering; White paper; Computer science; Greenhouse gas; Energy modeling; Systems engineering; Engineering; Energy performance; Software engineering","score_opus":0.05085713066911015,"score_gpt":0.32288185101180306,"score_spread":0.2720247203426929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390789546","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":[0.000569414,0.98713326,0.006707059,0.0005591135,0.00027021937,0.000054656888,0.00014053343,0.00005383189,0.004511923],"genre_scores_gemma":[0.0044013727,0.98884714,0.005506863,0.00023568321,0.00010107995,0.000070918904,0.00015433796,0.000026735186,0.00065580284],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818075,0.0006081936,0.00028267287,0.00020268779,0.00066857063,0.000057089645],"domain_scores_gemma":[0.99404943,0.0047630733,0.0002979085,0.00016354938,0.00066813634,0.000057997197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030473394,0.0014813803,0.001732468,0.0037218076,0.00042482832,0.0023073799,0.0017536558,0.0015097844,0.0049672695],"category_scores_gemma":[0.0073779086,0.00078287866,0.0017689352,0.0055057094,0.0008976896,0.0025000623,0.00094040926,0.0016383437,0.0014851615],"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":[0.000077546196,0.00013100189,0.00067289604,0.07458153,0.00031196506,0.00013660183,0.00044035743,0.010431719,0.0011730558,0.048225615,0.02151066,0.8423071],"study_design_scores_gemma":[0.000023764935,0.00016415736,0.00085483876,0.033616528,0.0004982879,0.00031958806,0.00030136085,0.004153748,0.0013023203,0.014083705,0.94458807,0.00009358651],"about_ca_topic_score_codex":0.004846226,"about_ca_topic_score_gemma":0.006341241,"teacher_disagreement_score":0.0049672695,"about_ca_system_score_codex":0.0012277395,"about_ca_system_score_gemma":0.0029852604,"threshold_uncertainty_score":0.016617179},"labels":[],"label_agreement":null},{"id":"W4391035102","doi":"10.3390/en17020497","title":"Integrated Waste-to-Energy Process Optimization for Municipal Solid Waste","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Process engineering; Raw material; Pyrolysis; Municipal solid waste; Char; Process (computing); Waste management; Environmental science; cardboard; Computer science; Engineering; Chemistry","score_opus":0.00910687245823938,"score_gpt":0.23594504838406866,"score_spread":0.22683817592582928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391035102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70117295,0.0013808649,0.29047462,0.00008311345,0.000022497148,0.00022816313,0.00069117895,0.0010595681,0.0048869806],"genre_scores_gemma":[0.947736,0.0005699929,0.04943521,0.000016925269,0.0000027054025,0.00015565539,0.00070629956,0.000066774264,0.0013103642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996457,0.000057509907,0.00002458429,0.00006861243,0.00015265147,0.000050952804],"domain_scores_gemma":[0.9998216,0.00006719131,0.000032769796,0.000020362118,0.000048596903,0.000009480515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007860591,0.0009252618,0.0012313776,0.0009373664,0.00046823634,0.0013434944,0.0007070478,0.00059212017,0.0010888298],"category_scores_gemma":[0.0006654774,0.000528854,0.0011363275,0.001275226,0.0002477976,0.0008936415,0.0005387959,0.00056108396,0.00023220036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018780759,0.00029328713,0.0015456633,0.00017188989,0.000056467125,0.000047824138,0.000021496988,0.94881016,0.021741947,0.00059560547,0.00010310133,0.026424788],"study_design_scores_gemma":[0.00001892173,0.00027063978,0.00096815726,0.000006772873,0.000041745345,0.000019754265,0.000024414254,0.967723,0.029628104,0.00055554585,0.00073208724,0.000010842401],"about_ca_topic_score_codex":0.0072486685,"about_ca_topic_score_gemma":0.009387981,"teacher_disagreement_score":0.0072486685,"about_ca_system_score_codex":0.0013564741,"about_ca_system_score_gemma":0.0014086504,"threshold_uncertainty_score":0.01441294},"labels":[],"label_agreement":null},{"id":"W4391100246","doi":"10.3390/en17020536","title":"Battery State of Health Estimation Using the Sliding Interacting Multiple Model Strategy","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; McMaster University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ames Research Center; National Aeronautics and Space Administration","keywords":"Battery (electricity); State of health; State of charge; Process (computing); Computer science; Engineering; Control theory (sociology); Power (physics); Artificial intelligence; Control (management)","score_opus":0.05925224436107771,"score_gpt":0.338930275083216,"score_spread":0.27967803072213826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391100246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04587234,0.00030257777,0.95154786,0.00013065913,0.000044019624,0.000042690717,0.00009920626,0.00066943135,0.0012912059],"genre_scores_gemma":[0.9045554,0.00023649418,0.09245625,0.00008713286,0.00003634768,0.000108547654,0.00041801564,0.000037521404,0.0020642944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997876,0.00004332402,0.000017865845,0.00007363988,0.00005250372,0.000024974932],"domain_scores_gemma":[0.99955803,0.00019805727,0.00005376512,0.000047633806,0.00012350074,0.000019060255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055735314,0.00061123515,0.0008122226,0.00052085106,0.0001906753,0.00061469246,0.0007685547,0.0005419256,0.0009905966],"category_scores_gemma":[0.0019597963,0.0002424683,0.00066589745,0.0003474478,0.00021388715,0.00072336284,0.00051910814,0.0007610309,0.00028426386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016216749,0.00010265484,0.004322129,0.00012210112,0.00012130399,0.00012517728,0.00012924965,0.7694715,0.006546588,0.0034288503,0.0015525726,0.21391569],"study_design_scores_gemma":[0.0000035092614,0.000030905023,0.00047818758,0.000003897876,0.000006942529,0.000013366628,0.000008350189,0.997719,0.0007912887,0.00071931287,0.00021967792,0.0000054747356],"about_ca_topic_score_codex":0.0071328976,"about_ca_topic_score_gemma":0.007064946,"teacher_disagreement_score":0.0071328976,"about_ca_system_score_codex":0.0003512124,"about_ca_system_score_gemma":0.00058906956,"threshold_uncertainty_score":0.014182746},"labels":[],"label_agreement":null},{"id":"W4391131361","doi":"10.3390/en17030555","title":"Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning—A Review","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Energy (signal processing); Energy management; Energy demand; Architectural engineering; Computer science; Engineering; Environmental economics; Economics","score_opus":0.005696481590750649,"score_gpt":0.18826874507949184,"score_spread":0.1825722634887412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391131361","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":[0.00091447256,0.9941391,0.0028288194,0.00029948133,0.00015733755,0.000011268157,0.000027848297,0.000019306513,0.0016023905],"genre_scores_gemma":[0.0064537926,0.99100727,0.0017913453,0.00008589351,0.0002675428,0.000011357385,0.00005214626,0.0000042822226,0.00032636637],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997465,0.000043191718,0.000032264554,0.000049456587,0.000109192384,0.000019340641],"domain_scores_gemma":[0.9995983,0.0002405887,0.000050945917,0.000010313617,0.00008572404,0.000014109093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005674141,0.000878586,0.0011349282,0.0013534958,0.00020567866,0.0009640023,0.00079572276,0.0008833446,0.001431124],"category_scores_gemma":[0.0006952046,0.00029287036,0.00056512887,0.002445695,0.00032079362,0.0013825907,0.00046751383,0.00064351474,0.0005737886],"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":[0.000044000593,0.00012599802,0.0007638811,0.01770362,0.00012099432,0.000097331045,0.00005402064,0.010081145,0.0013159444,0.007893414,0.009622014,0.95217764],"study_design_scores_gemma":[0.000029319428,0.00058835896,0.0059474083,0.015455728,0.0006317304,0.0011235905,0.00036971408,0.016298277,0.0032314367,0.016766999,0.9394046,0.0001528161],"about_ca_topic_score_codex":0.001727263,"about_ca_topic_score_gemma":0.0020543642,"teacher_disagreement_score":0.001727263,"about_ca_system_score_codex":0.00038762944,"about_ca_system_score_gemma":0.00077499764,"threshold_uncertainty_score":0.004787624},"labels":[],"label_agreement":null},{"id":"W4391137305","doi":"10.3390/en17030545","title":"Pressurized Chemical Looping for Direct Reduced Iron Production: Economics of Carbon Neutral Process Configurations","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Chemical looping combustion; Production (economics); Process (computing); Carbon fibers; Process engineering; Process integration; Chemistry; Environmental science; Materials science; Economics; Computer science; Engineering; Oxygen; Organic chemistry","score_opus":0.010031391727060496,"score_gpt":0.22877764201831027,"score_spread":0.21874625029124978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391137305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94107777,0.0019190313,0.014269145,0.0004608524,0.00004420992,0.00023980252,0.00036257473,0.00013031658,0.041496325],"genre_scores_gemma":[0.9937475,0.00034802483,0.0038605588,0.00001951121,0.000008132055,0.000029129897,0.00008221266,0.000016100916,0.001888894],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991596,0.00015861104,0.000016718071,0.00013192488,0.00042921313,0.00010399288],"domain_scores_gemma":[0.9994868,0.00020222539,0.000086473614,0.000069805355,0.00009636723,0.000058234968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010629168,0.0004239474,0.00024122014,0.0007383107,0.0003256658,0.0013185473,0.00091527094,0.00059448817,0.0059428466],"category_scores_gemma":[0.0013765653,0.00025727905,0.0003973536,0.00042369709,0.0005175523,0.0019562794,0.00057163055,0.00061773293,0.000627339],"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":[0.008525575,0.0015274184,0.015921561,0.002083138,0.00011870608,0.0026901169,0.00031426921,0.12249066,0.514443,0.06726053,0.0042609703,0.26036406],"study_design_scores_gemma":[0.00083039515,0.021084195,0.070100725,0.0004008624,0.00034584902,0.0030410937,0.0018082662,0.27631742,0.5417047,0.021414172,0.062664375,0.00028808054],"about_ca_topic_score_codex":0.0022111034,"about_ca_topic_score_gemma":0.0036838131,"teacher_disagreement_score":0.0059428466,"about_ca_system_score_codex":0.0025368049,"about_ca_system_score_gemma":0.00072385557,"threshold_uncertainty_score":0.019880831},"labels":[],"label_agreement":null},{"id":"W4391263239","doi":"10.3390/en17030604","title":"Review on Thermal Properties with Influence Factors of Solid–Liquid Organic Phase-Change Micro/Nanocapsules","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Nanocapsules; Phase change; Materials science; Phase (matter); Liquid phase; Chemical engineering; Nanotechnology; Chemistry; Organic chemistry; Engineering physics; Thermodynamics; Engineering; Physics; Nanoparticle","score_opus":0.06040150464964702,"score_gpt":0.2969323399501579,"score_spread":0.23653083530051086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391263239","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":[0.0022099467,0.99494344,0.0008961054,0.00009844712,0.00019807198,0.000012468171,0.000044376342,0.000018278395,0.0015788845],"genre_scores_gemma":[0.00766031,0.9893638,0.0011308216,0.00015796782,0.00022450791,0.00002193713,0.000081253624,0.0000083116065,0.0013510364],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978286,0.000031177635,0.00003639783,0.000053706644,0.0000729218,0.000023012572],"domain_scores_gemma":[0.9997137,0.00011925406,0.00006185262,0.000009707808,0.00008130582,0.000014134157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003889105,0.0010243274,0.0010138752,0.0017973448,0.00024411129,0.0005242232,0.0005394686,0.0005336585,0.0017630844],"category_scores_gemma":[0.00041441288,0.00040179596,0.000701271,0.0017595348,0.00020657289,0.0009116034,0.00033230855,0.00058600673,0.0007990036],"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":[0.00026314304,0.00025845828,0.00049083284,0.08561689,0.0004446595,0.0005097822,0.00016057049,0.0024380207,0.14704749,0.0037794253,0.020262415,0.73872834],"study_design_scores_gemma":[0.000026052157,0.000791382,0.0032362924,0.004849254,0.00087070535,0.0019547257,0.000117190066,0.0015552925,0.09958292,0.0013511572,0.8855586,0.000106452026],"about_ca_topic_score_codex":0.0005723204,"about_ca_topic_score_gemma":0.0006640203,"teacher_disagreement_score":0.0017973448,"about_ca_system_score_codex":0.0003335693,"about_ca_system_score_gemma":0.00048558658,"threshold_uncertainty_score":0.0058980584},"labels":[],"label_agreement":null},{"id":"W4391263261","doi":"10.3390/en17030608","title":"Surrogate-Based Multi-Objective Optimization of Flux-Focusing Halbach Coaxial Magnetic Gear","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic gear; Coaxial; Halbach array; Magnetic flux; Flux (metallurgy); Physics; Mechanical engineering; Electrical engineering; Computer science; Engineering; Magnet; Magnetic field; Materials science","score_opus":0.008913771671044271,"score_gpt":0.20835856324678698,"score_spread":0.1994447915757427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391263261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11546564,0.0013907256,0.86925006,0.00032320767,0.00008234705,0.00008646637,0.00012612618,0.00029930734,0.012976136],"genre_scores_gemma":[0.9051099,0.0004073728,0.090069935,0.00010023658,0.000020047413,0.00023410824,0.00018650202,0.000064987384,0.003806815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998011,0.00008640829,0.000007478802,0.000025315112,0.00005405174,0.000025558373],"domain_scores_gemma":[0.99958926,0.0002694747,0.000048662125,0.000014673298,0.000058108006,0.000019874527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071973394,0.0008763866,0.0008097652,0.00045172404,0.00020805502,0.0006652615,0.00048113873,0.0009124646,0.0014541044],"category_scores_gemma":[0.0011090677,0.00038097962,0.00057028496,0.00034581273,0.00039960624,0.00035569165,0.00047832716,0.00045890766,0.00020053476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002306612,0.000014582249,0.00020567808,0.000049623708,0.000015312702,0.000029692546,0.000008343359,0.9939155,0.00093089143,0.00097208325,0.00017570177,0.003659515],"study_design_scores_gemma":[0.0000050362287,0.000015142317,0.000045339937,0.0000034191673,0.0000024290289,0.000004229584,0.0000028003365,0.9993875,0.00016015736,0.00021999747,0.00015258513,0.0000014024208],"about_ca_topic_score_codex":0.0019383646,"about_ca_topic_score_gemma":0.0015460551,"teacher_disagreement_score":0.0019383646,"about_ca_system_score_codex":0.00036434096,"about_ca_system_score_gemma":0.00062283984,"threshold_uncertainty_score":0.004864514},"labels":[],"label_agreement":null},{"id":"W4391403809","doi":"10.3390/en17030672","title":"Hydrodynamic Insights on Floating Bubbling Fluidized Beds: Dynamic Solutions for Mitigating Gas Maldistribution","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canada Foundation for Innovation","keywords":"Mechanics; Environmental science; Petroleum engineering; Thermodynamics; Engineering; Physics","score_opus":0.008176389483203952,"score_gpt":0.22802726944329288,"score_spread":0.21985087996008892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391403809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8552077,0.008568431,0.12733716,0.00090373284,0.00021523464,0.00009247791,0.0001309177,0.00045736053,0.0070871143],"genre_scores_gemma":[0.97337645,0.0036090913,0.020684768,0.00011378857,0.000047040005,0.000020309966,0.000085462176,0.000021702976,0.0020413888],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992645,0.000009862162,0.000003033439,0.000017659882,0.000025653278,0.000017369735],"domain_scores_gemma":[0.999931,0.00002001487,0.000012972716,0.000003402831,0.000020450076,0.000012090298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014702325,0.00048400223,0.00034803446,0.00032768364,0.00022749082,0.00045433067,0.00031011135,0.0002699433,0.0008040323],"category_scores_gemma":[0.0001970202,0.0001582985,0.0001666445,0.00017439247,0.00035866926,0.0005613522,0.00031537315,0.0003840196,0.00013949926],"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":[0.00012049163,0.00007787905,0.0013387882,0.00027210003,0.0000126191735,0.00020350568,0.0000995245,0.010077731,0.94423485,0.002181938,0.00024413416,0.04113647],"study_design_scores_gemma":[0.00003784925,0.0008626666,0.0069912495,0.00005904838,0.000065039756,0.00031503374,0.0004764097,0.20755485,0.76943445,0.0022631837,0.01186363,0.000076602824],"about_ca_topic_score_codex":0.0017373047,"about_ca_topic_score_gemma":0.0022841513,"teacher_disagreement_score":0.0017373047,"about_ca_system_score_codex":0.0003321043,"about_ca_system_score_gemma":0.0002751406,"threshold_uncertainty_score":0.0034543872},"labels":[],"label_agreement":null},{"id":"W4391404363","doi":"10.3390/en17030676","title":"Semi-Analytical Reservoir Modeling of Non-Linear Gas Diffusion with Gas Desorption Applied to the Horn River Basin Shale Gas Play, British Columbia (Canada)","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina; Geological Survey of Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Shale gas; French horn; Petroleum engineering; Gaseous diffusion; Unconventional oil; Geology; Structural basin; Environmental science; Hydrology (agriculture); Oil shale; Geomorphology; Chemistry; Paleontology; Physics; Geotechnical engineering","score_opus":0.00965149320681036,"score_gpt":0.2019871472451401,"score_spread":0.19233565403832975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391404363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6642408,0.0007589329,0.31049,0.0004076129,0.00006484316,0.00017902696,0.0005811841,0.0009632985,0.02231431],"genre_scores_gemma":[0.98243225,0.00018853982,0.011486895,0.000020555653,0.0000037957109,0.00006353404,0.000102259306,0.000043416832,0.005658741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994123,0.000008111647,0.0000031696732,0.000011819497,0.00002105382,0.000014507413],"domain_scores_gemma":[0.999876,0.000050059367,0.000013061194,0.0000062758963,0.00004642096,0.0000081693715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016804581,0.00045715945,0.0003125127,0.0002861881,0.0005275639,0.00067832525,0.0007716914,0.0006523917,0.001028204],"category_scores_gemma":[0.00038699547,0.00031211073,0.00040433867,0.00027871173,0.00044697273,0.0003846551,0.00038856288,0.00040765727,0.00013387993],"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":[0.000035933404,0.000029214765,0.0014484099,0.000051405463,0.000007817176,0.00008056553,0.00005900335,0.98271483,0.009818331,0.0017064379,0.00018909092,0.003858932],"study_design_scores_gemma":[9.678673e-7,0.0000023658845,0.00006937939,6.0094817e-7,8.7884706e-7,0.0000026791247,0.00000446292,0.99929893,0.0004978749,0.00004158231,0.00007903799,0.0000013399617],"about_ca_topic_score_codex":0.18027222,"about_ca_topic_score_gemma":0.11757351,"teacher_disagreement_score":0.8197278,"about_ca_system_score_codex":0.0018181794,"about_ca_system_score_gemma":0.002268725,"threshold_uncertainty_score":0.35844582},"labels":[],"label_agreement":null},{"id":"W4391404558","doi":"10.3390/en17030677","title":"Lignocellulosic Biomass Valorisation by Coupling Steam Explosion Treatment and Anaerobic Digestion","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Centre Sève; CRB Innovations","keywords":"Valorisation; Lignocellulosic biomass; Anaerobic digestion; Steam explosion; Biomass (ecology); Biogas; Pulp and paper industry; Biofuel; Renewable energy; Bioenergy; Renewable resource; Environmental science; Waste management; Chemistry; Biorefinery; Methane; Engineering; Agronomy; Organic chemistry","score_opus":0.011588411399140982,"score_gpt":0.20367235452999896,"score_spread":0.19208394313085797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391404558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781757,0.0015336784,0.018220238,0.000060923794,0.000035387595,0.00005520281,0.00008657646,0.00007693333,0.0017553567],"genre_scores_gemma":[0.9853264,0.0013745312,0.01205451,0.000031413783,0.000009680276,0.00003413533,0.00012476246,0.000013710351,0.0010308773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985814,0.000021949452,0.00001490741,0.00002659658,0.000048310885,0.000030118796],"domain_scores_gemma":[0.9999608,0.0000089424175,0.000011854589,0.000004266207,0.000006851925,0.0000073666433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958003,0.00042008515,0.00038147514,0.00023827914,0.00012161608,0.00033084687,0.00018362641,0.00022435068,0.00048453515],"category_scores_gemma":[0.00014241977,0.00014404199,0.00032993438,0.00026797623,0.00018103639,0.00029782497,0.00043898716,0.0004613468,0.0001967345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059249192,0.000032506585,0.00023126247,0.000083216146,0.0000148432955,0.000033844466,0.000013404877,0.00043702804,0.9929361,0.00010259098,0.000018669509,0.006037314],"study_design_scores_gemma":[0.000007097406,0.00016699453,0.0009986545,0.000006417288,0.000014657246,0.00005579418,0.000017445378,0.0021145379,0.99540955,0.00006207165,0.0011416316,0.0000050357003],"about_ca_topic_score_codex":0.00046114562,"about_ca_topic_score_gemma":0.0012389218,"teacher_disagreement_score":0.00048453515,"about_ca_system_score_codex":0.00017246068,"about_ca_system_score_gemma":0.0002610051,"threshold_uncertainty_score":0.0016208887},"labels":[],"label_agreement":null},{"id":"W4391472430","doi":"10.3390/en17030715","title":"Networked Microgrids: A Review on Configuration, Operation, and Control Strategies","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control (management); Computer science; Control engineering; Systems engineering; Distributed computing; Engineering; Process management; Artificial intelligence","score_opus":0.010691029796855477,"score_gpt":0.25641571494972093,"score_spread":0.24572468515286544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391472430","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":[0.00035057918,0.99457043,0.0018117636,0.00024536301,0.00016500174,0.000016240001,0.000045244116,0.000018381388,0.0027768745],"genre_scores_gemma":[0.0022258044,0.9956053,0.0012945627,0.00010718354,0.00012637055,0.000015088837,0.00006133651,0.000004571004,0.0005597852],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997112,0.000056966815,0.00005259242,0.000059405946,0.00009697888,0.000022786431],"domain_scores_gemma":[0.99934584,0.00038765615,0.00008825774,0.000023835146,0.00013371995,0.000020737207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006208411,0.0014007697,0.0012891853,0.0021234045,0.0003273074,0.0012115828,0.0010683892,0.0009476822,0.0038314369],"category_scores_gemma":[0.0011720401,0.0005008137,0.00076205493,0.003388313,0.00039368085,0.001549132,0.00066193996,0.00089526834,0.0013444684],"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":[0.000053067582,0.00009139825,0.00032428934,0.046891857,0.00015532636,0.00018710259,0.00016283899,0.0058050933,0.0015135739,0.01658276,0.018845886,0.9093868],"study_design_scores_gemma":[0.000012136674,0.0002227758,0.0010307523,0.01619289,0.00029659914,0.0007737458,0.00020927348,0.0015455566,0.0009056947,0.007902488,0.97085774,0.00005039068],"about_ca_topic_score_codex":0.0022880612,"about_ca_topic_score_gemma":0.002822139,"teacher_disagreement_score":0.0038314369,"about_ca_system_score_codex":0.0006079447,"about_ca_system_score_gemma":0.0014288246,"threshold_uncertainty_score":0.012817442},"labels":[],"label_agreement":null},{"id":"W4391485991","doi":"10.3390/en17030719","title":"An Artificial Neural Network-Based Fault Diagnostics Approach for Hydrogen-Fueled Micro Gas Turbines","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Research Executive Agency; European Commission; Equinor; Universitetet i Stavanger","keywords":"Artificial neural network; Gas turbines; Fault (geology); Computer science; Artificial intelligence; Environmental science; Engineering; Mechanical engineering; Geology; Seismology","score_opus":0.01635878311058577,"score_gpt":0.2544608849230576,"score_spread":0.2381021018124718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391485991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14666842,0.0010670463,0.8464358,0.00027169657,0.00009317081,0.000090944486,0.000087007065,0.0010056327,0.0042803],"genre_scores_gemma":[0.9519413,0.00023785948,0.045577496,0.0000434829,0.000019384543,0.00008289188,0.000070056114,0.000019165613,0.002008251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988663,0.000022197723,0.0000108345985,0.000029217423,0.000035068097,0.000016055881],"domain_scores_gemma":[0.9998184,0.00007897002,0.00002838578,0.000008451375,0.00005935313,0.00000652731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002389266,0.0005691252,0.00037170565,0.00048267923,0.00021247103,0.0004472099,0.000479504,0.0006483121,0.0009109679],"category_scores_gemma":[0.0005679311,0.00023385114,0.00041480022,0.00025534997,0.00018133405,0.0003503805,0.00025787557,0.00048121467,0.00014200441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075963624,0.00005887057,0.00084685214,0.00006905921,0.00003368012,0.00013379235,0.00003459258,0.9164502,0.0062452494,0.0006663657,0.00024898225,0.075136304],"study_design_scores_gemma":[9.978187e-7,0.000012627508,0.00015313734,0.0000020378966,0.000003046801,0.000005660646,0.0000031092356,0.9991665,0.00047113697,0.00011215987,0.000067906534,0.00000174893],"about_ca_topic_score_codex":0.008721973,"about_ca_topic_score_gemma":0.006599068,"teacher_disagreement_score":0.008721973,"about_ca_system_score_codex":0.00048427982,"about_ca_system_score_gemma":0.00042964015,"threshold_uncertainty_score":0.017342448},"labels":[],"label_agreement":null},{"id":"W4391486049","doi":"10.3390/en17030722","title":"A Comprehensive Review of Compensation Control Techniques Suitable for Cascaded H-Bridge Multilevel Inverter Operation with Unequal DC Sources or Faulty Cells","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Compensation (psychology); Modularity (biology); Reliability (semiconductor); Inverter; Survivability; Control (management); Computer science; Bridge (graph theory); Scheme (mathematics); Reliability engineering; Control engineering; Engineering; Voltage; Electrical engineering","score_opus":0.06604816846132483,"score_gpt":0.3144964690667298,"score_spread":0.24844830060540496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391486049","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":[0.0008640941,0.9844738,0.0058646514,0.00020062298,0.00034539576,0.00003630065,0.000114501156,0.00007033703,0.008030282],"genre_scores_gemma":[0.0065813228,0.9839489,0.005123241,0.00020311661,0.00025034044,0.000035432964,0.0002468924,0.000016026197,0.003594821],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981064,0.000020367002,0.000032386553,0.000043179494,0.00007841998,0.000015027056],"domain_scores_gemma":[0.9997489,0.000107576474,0.000037057544,0.000013725722,0.00008287789,0.000009872352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035511618,0.00087789353,0.0008557604,0.0023317912,0.00028317055,0.0007145971,0.0008255863,0.00072998664,0.005451283],"category_scores_gemma":[0.0005634393,0.0003793276,0.0006314086,0.002666205,0.00021665703,0.001353441,0.00040086568,0.00078404445,0.0020953114],"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":[0.00006340514,0.00008686918,0.00014604063,0.0308546,0.0000869981,0.00015380369,0.000070775786,0.0016302838,0.0069632274,0.0072657582,0.014552091,0.9381261],"study_design_scores_gemma":[0.000009171884,0.00021682166,0.0009104393,0.0042537795,0.00019697471,0.0008968864,0.00005801189,0.0010459153,0.0038874187,0.0026686185,0.9858187,0.000037345435],"about_ca_topic_score_codex":0.00083695364,"about_ca_topic_score_gemma":0.0011346055,"teacher_disagreement_score":0.005451283,"about_ca_system_score_codex":0.00030832397,"about_ca_system_score_gemma":0.00068378675,"threshold_uncertainty_score":0.018236399},"labels":[],"label_agreement":null},{"id":"W4391560757","doi":"10.3390/en17040787","title":"Latent Thermal Energy Storage System for Heat Recovery between 120 and 150 °C: Material Stability and Corrosion","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Agence Nationale de la Recherche","keywords":"Latent heat; Materials science; Thermal energy storage; Reuse; Waste heat recovery unit; Waste heat; Corrosion; Sebacic acid; Adipic acid; Phase-change material; Metallurgy; Environmental science; Waste management; Phase change; Thermodynamics; Heat exchanger; Composite material; Mechanical engineering; Engineering","score_opus":0.030579582576546634,"score_gpt":0.24654730443793388,"score_spread":0.21596772186138724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391560757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875711,0.0015858547,0.008956965,0.00006919129,0.000053051055,0.000036573456,0.0002955081,0.00025985725,0.0011718778],"genre_scores_gemma":[0.9948201,0.00040084936,0.0022808625,0.000020586715,0.000008195345,0.000022310382,0.00029615776,0.000036302325,0.0021146336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998809,0.000013637344,0.000011235781,0.000020820144,0.000046309364,0.000027057775],"domain_scores_gemma":[0.9998584,0.000021708227,0.000024807205,0.000020934534,0.00005623639,0.000017853296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002194996,0.00027765613,0.00044196667,0.00033949496,0.00028411028,0.00038752213,0.00033993024,0.0002388658,0.002136204],"category_scores_gemma":[0.00022322153,0.00011591912,0.0003533692,0.00031309068,0.00016853043,0.0005598569,0.0002774021,0.0003439985,0.0006551694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028757908,0.000029759265,0.00039975205,0.00013934945,0.0000072777725,0.000048159716,0.00004183111,0.00018347139,0.99132794,0.00013532695,0.0001800295,0.0072195954],"study_design_scores_gemma":[0.00000985882,0.00024750739,0.0012421679,0.000006082955,0.000015462618,0.00010200483,0.000028925413,0.0013723416,0.9950659,0.000021614707,0.0018805403,0.000007569407],"about_ca_topic_score_codex":0.00045671625,"about_ca_topic_score_gemma":0.0009452438,"teacher_disagreement_score":0.002136204,"about_ca_system_score_codex":0.00024086048,"about_ca_system_score_gemma":0.00023360824,"threshold_uncertainty_score":0.007146299},"labels":[],"label_agreement":null},{"id":"W4391565408","doi":"10.3390/en17030736","title":"Precision Leak Detection in Supermarket Refrigeration Systems Integrating Categorical Gradient Boosting with Advanced Thresholding","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Boosting (machine learning); Thresholding; Categorical variable; Artificial intelligence; Computer science; Refrigeration; Leak detection; Leak; Process engineering; Pattern recognition (psychology); Machine learning; Engineering; Environmental engineering; Mechanical engineering","score_opus":0.006961792582425007,"score_gpt":0.21333102475328286,"score_spread":0.20636923217085784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391565408","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":[0.26746494,0.0006329865,0.72758025,0.00016096338,0.00008069938,0.000057116205,0.00009174924,0.0023725145,0.0015588093],"genre_scores_gemma":[0.95636123,0.0000723719,0.042622693,0.000046406352,0.000019114199,0.000018158713,0.00010208429,0.000038590686,0.00071931764],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945873,0.00010107115,0.00002559762,0.0001232024,0.00021211937,0.000079279765],"domain_scores_gemma":[0.9992893,0.00021166554,0.00013379441,0.00007287537,0.00024923627,0.00004315451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002246,0.00054439093,0.0011360927,0.00065665034,0.00023426466,0.0005397162,0.00071912544,0.000539807,0.00046364721],"category_scores_gemma":[0.0019746902,0.00020070063,0.00052053906,0.0004330321,0.00022599589,0.0004738762,0.00058490987,0.00056990056,0.00027800497],"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":[0.0009531523,0.0002884661,0.02138623,0.00022812627,0.000116522504,0.00027123134,0.00019638614,0.39386976,0.087024815,0.0016194782,0.0030302817,0.49101555],"study_design_scores_gemma":[0.0000058803316,0.000080092905,0.0042319233,0.000004953568,0.000013078736,0.00003833737,0.000011053384,0.98852146,0.0062505645,0.0004688332,0.00036342244,0.000010400412],"about_ca_topic_score_codex":0.0026702592,"about_ca_topic_score_gemma":0.0019826274,"teacher_disagreement_score":0.0026702592,"about_ca_system_score_codex":0.00045101196,"about_ca_system_score_gemma":0.00039715538,"threshold_uncertainty_score":0.0053094625},"labels":[],"label_agreement":null},{"id":"W4391753531","doi":"10.3390/en17040861","title":"Study of the Thermal and Hydraulic Performance of Porous Block versus Gyroid Structure: Experimental and Numerical Approaches","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gyroid; Porous medium; Materials science; Pressure drop; Porosity; Mechanics; Thermodynamics; Metal foam; Composite material; Physics","score_opus":0.018484462165202237,"score_gpt":0.21487065032983407,"score_spread":0.19638618816463183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391753531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868484,0.000704105,0.011105994,0.00003468553,0.000016879214,0.00002086994,0.00011028748,0.00008846506,0.0010703977],"genre_scores_gemma":[0.9934928,0.00028438194,0.0058928854,0.0000043542,0.0000042018823,0.000017156379,0.000049647988,0.0000059527574,0.00024876228],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978274,0.000032327265,0.000013971253,0.000043234166,0.00009483126,0.000032881282],"domain_scores_gemma":[0.9995072,0.00023237061,0.00008975173,0.0000474675,0.00010325535,0.000019887495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048126493,0.00028464192,0.00041267223,0.00038412525,0.00020687093,0.00024892308,0.00028318027,0.00037925437,0.00074514584],"category_scores_gemma":[0.00074071035,0.00014822409,0.00021778994,0.0005016297,0.0005467484,0.0004474903,0.00022477526,0.00028143454,0.00009175445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022896085,0.00013910161,0.0013215339,0.00030685775,0.000010682834,0.000073371826,0.00016554698,0.014946613,0.9724965,0.0009432066,0.00008797132,0.009279722],"study_design_scores_gemma":[0.000017105538,0.0006086489,0.0026745459,0.000014166038,0.000018581099,0.00007190343,0.000101589605,0.06448887,0.9308875,0.00020539657,0.0008884313,0.000023323575],"about_ca_topic_score_codex":0.00065013766,"about_ca_topic_score_gemma":0.0004413581,"teacher_disagreement_score":0.00074514584,"about_ca_system_score_codex":0.00021133736,"about_ca_system_score_gemma":0.00015883343,"threshold_uncertainty_score":0.002545178},"labels":[],"label_agreement":null},{"id":"W4391811388","doi":"10.3390/en17040878","title":"Cyclic Homomorphic Encryption Aggregation (CHEA)—A Novel Approach to Data Aggregation in the Smart Grid","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communitech; University of Ottawa","funders":"","keywords":"Computer science; Data aggregator; Homomorphic encryption; Smart grid; Encryption; Flexibility (engineering); Distributed computing; Context (archaeology); Computer security; Computer network; Wireless sensor network; Engineering","score_opus":0.03366936089085951,"score_gpt":0.24644795786098228,"score_spread":0.21277859697012277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391811388","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":[0.042723596,0.00077177805,0.9454013,0.0012064214,0.00019691978,0.0002479441,0.00007096032,0.00066787587,0.008713128],"genre_scores_gemma":[0.82706684,0.00063248846,0.16762643,0.0004221664,0.00019176748,0.00015591433,0.000082003426,0.000056750563,0.0037657365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980375,0.00069499,0.00013867376,0.00021544556,0.0007508122,0.00016253008],"domain_scores_gemma":[0.99617815,0.0010203137,0.0004569172,0.0018641475,0.00037661966,0.00010382011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002009729,0.0003655299,0.00044029474,0.00080893683,0.0010306431,0.0012160144,0.0009904702,0.00077048625,0.0012223858],"category_scores_gemma":[0.0026058385,0.00024067247,0.00064715085,0.0008022235,0.002126017,0.0041883313,0.0026735768,0.0015032085,0.0002922988],"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":[0.0003587862,0.00022861715,0.0028355813,0.00032979288,0.00017301209,0.0010214369,0.0011364575,0.06687246,0.059407435,0.7022293,0.006355836,0.15905133],"study_design_scores_gemma":[0.00010146195,0.000604873,0.0012618881,0.000096085336,0.00011865974,0.002544411,0.00037339778,0.62666845,0.082675256,0.23228607,0.053124584,0.00014488722],"about_ca_topic_score_codex":0.0005427752,"about_ca_topic_score_gemma":0.00048368718,"teacher_disagreement_score":0.002009729,"about_ca_system_score_codex":0.0007989256,"about_ca_system_score_gemma":0.0012467057,"threshold_uncertainty_score":0.010628641},"labels":[],"label_agreement":null},{"id":"W4391998107","doi":"10.3390/en17051002","title":"Safety Analysis of the Hydrolysis Reactor in the Cu-Cl Thermochemical Hydrogen Production Cycle—Part 1: Methodology and Selected Top Events","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen production; Thermochemical cycle; Production (economics); Hydrogen; Hydrolysis; Nuclear engineering; Environmental science; Thermodynamics; Chemistry; Process engineering; Waste management; Engineering; Economics; Physics; Macroeconomics; Organic chemistry","score_opus":0.014394670388502845,"score_gpt":0.24306857853129424,"score_spread":0.2286739081427914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391998107","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6137797,0.00078739907,0.37151977,0.000090805086,0.00002639662,0.0008551706,0.00039538502,0.00050388684,0.012041416],"genre_scores_gemma":[0.94661695,0.0004152545,0.048794333,0.000023164901,0.000008938993,0.00023603784,0.00020267749,0.000037524973,0.0036651816],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927384,0.00016840847,0.000030058796,0.00010311041,0.00037006306,0.00005456624],"domain_scores_gemma":[0.9993944,0.00020682746,0.00008282274,0.000061216495,0.00024069293,0.00001408824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010618966,0.00060471974,0.00038959086,0.0015905548,0.00047773198,0.0007362998,0.0006417475,0.0005088651,0.001950023],"category_scores_gemma":[0.0009742638,0.00023121639,0.0004088838,0.0005346569,0.00051386363,0.0005716003,0.00038876204,0.00046387815,0.00027876356],"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":[0.0013178972,0.0004643112,0.02136222,0.0011530422,0.00009838373,0.00077154185,0.0009684564,0.11565139,0.5891105,0.019102192,0.0006783002,0.24932174],"study_design_scores_gemma":[0.00005472094,0.0019110526,0.016311951,0.000059284248,0.00006645729,0.00038775193,0.00056845864,0.15013893,0.81808454,0.0051495754,0.007197687,0.00006963947],"about_ca_topic_score_codex":0.002471266,"about_ca_topic_score_gemma":0.0019145911,"teacher_disagreement_score":0.002471266,"about_ca_system_score_codex":0.0011427396,"about_ca_system_score_gemma":0.0010898712,"threshold_uncertainty_score":0.008291185},"labels":[],"label_agreement":null},{"id":"W4392375518","doi":"10.3390/en17051202","title":"Wind Turbine Blade Damage Evaluation under Multiple Operating Conditions and Based on 10-Min SCADA Data","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"SCADA; Turbine; Blade (archaeology); Turbine blade; Wind power; Marine engineering; Environmental science; Engineering; Computer science; Structural engineering; Aerospace engineering; Electrical engineering","score_opus":0.056404560329802796,"score_gpt":0.3437846910143379,"score_spread":0.2873801306845351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392375518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917854,0.00009746738,0.006861763,0.000015791193,0.000009390118,0.000025148584,0.00050005293,0.000102051374,0.00060297427],"genre_scores_gemma":[0.99690574,0.000042971544,0.0023270377,0.000004153175,0.000004572524,0.000014918393,0.0004909509,0.0000065654294,0.000203214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952984,0.00008151864,0.000049909777,0.0001304157,0.00015485006,0.00005345323],"domain_scores_gemma":[0.99881124,0.00035884898,0.00032523292,0.00017722754,0.0002494627,0.000078099976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068121165,0.0005291624,0.0004729056,0.0010272465,0.00019830669,0.00040281744,0.00031976646,0.00044786755,0.00052672677],"category_scores_gemma":[0.001985408,0.00015899587,0.00026601081,0.0006867514,0.00020551812,0.00056816364,0.00031370943,0.00024203684,0.00015285096],"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":[0.0016951399,0.00071583857,0.4037296,0.0007002669,0.00046145695,0.0015917054,0.0006857873,0.3117175,0.10942072,0.00069757376,0.0018854708,0.16669886],"study_design_scores_gemma":[0.000023288692,0.0011524205,0.60092336,0.000044886707,0.00011130394,0.0006079845,0.00033073247,0.37442026,0.020944096,0.0002481802,0.0011443447,0.00004908682],"about_ca_topic_score_codex":0.003387183,"about_ca_topic_score_gemma":0.00837856,"teacher_disagreement_score":0.003387183,"about_ca_system_score_codex":0.00029404266,"about_ca_system_score_gemma":0.00020095262,"threshold_uncertainty_score":0.0067349076},"labels":[],"label_agreement":null},{"id":"W4392649563","doi":"10.3390/en17061321","title":"Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Blackout; Distributed generation; Operability; Grid; Resilience (materials science); Flexibility (engineering); Computer science; Distributed computing; Smart grid; Microgrid; Reliability engineering; Environmental economics; Renewable energy; Risk analysis (engineering); Electric power system; Engineering; Economics; Business; Power (physics); Electrical engineering","score_opus":0.00924049927079454,"score_gpt":0.24190523525151536,"score_spread":0.23266473598072082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392649563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46591356,0.0008361315,0.44984728,0.001756204,0.00016314365,0.00023432173,0.0007440169,0.00062753446,0.07987776],"genre_scores_gemma":[0.985879,0.00024084993,0.0056748805,0.000055165096,0.000020007883,0.00009142739,0.000099877936,0.000023337398,0.007915461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997429,0.00007851352,0.000007997824,0.000049470564,0.000053490126,0.000067556364],"domain_scores_gemma":[0.9995672,0.00018237116,0.00008877421,0.000031155847,0.0000978992,0.000032531192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059473416,0.0007639541,0.00081787235,0.00067675323,0.00051263307,0.0010211227,0.0010828937,0.0012924937,0.003065331],"category_scores_gemma":[0.0015660491,0.00029833906,0.0010814386,0.0004907369,0.00082676916,0.0009539816,0.0010663153,0.0009729535,0.00028744928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024479796,0.0000151596205,0.0005376821,0.000014343139,0.00001611371,0.00006647639,0.000025612437,0.99045956,0.00027175972,0.006797176,0.00023122883,0.0015404793],"study_design_scores_gemma":[0.0000059902322,0.0000103702405,0.00019256941,0.0000028952152,0.0000057258876,0.0000073911456,0.000013185595,0.9977431,0.000049257225,0.0018131457,0.00015317622,0.000003181725],"about_ca_topic_score_codex":0.026923927,"about_ca_topic_score_gemma":0.0091594905,"teacher_disagreement_score":0.026923927,"about_ca_system_score_codex":0.0011187722,"about_ca_system_score_gemma":0.0010661895,"threshold_uncertainty_score":0.05353445},"labels":[],"label_agreement":null},{"id":"W4392649757","doi":"10.3390/en17061317","title":"Choosing to Pay More for Electricity: An Experiment on the Level of Residential Consumer Cooperation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","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":"HEC Montréal; Université de Montréal","funders":"HEC Montréal; Ecolab","keywords":"Greenhouse gas; Subsidy; Consumption (sociology); Electricity; Hydropower; Value (mathematics); Constraint (computer-aided design); Welfare; Business; Environmental economics; Economics; Natural resource economics; Efficient energy use; Electricity market; Energy consumption; Public economics; Market economy","score_opus":0.20887032364057043,"score_gpt":0.28978442406369614,"score_spread":0.08091410042312572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392649757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99409133,0.000020323629,0.0006486403,0.00029075256,0.00003668742,0.00024714094,0.00013433746,0.000018317774,0.0045124036],"genre_scores_gemma":[0.99112403,0.00003991866,0.002580338,0.0004187685,0.000027999877,0.0010578699,0.00015345556,0.000017252181,0.004580387],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9985459,0.0007369562,0.00007053453,0.00027537043,0.00014525373,0.00022598404],"domain_scores_gemma":[0.9838381,0.011828544,0.0010152082,0.0013588938,0.00042988526,0.0015294227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032901042,0.0006010016,0.0007026701,0.00022801048,0.0011573122,0.0012721501,0.0010035966,0.0018196919,0.0145669365],"category_scores_gemma":[0.008593871,0.00031253655,0.00045327167,0.00028011107,0.0016784478,0.00090419943,0.001014169,0.0021454531,0.0010412207],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.22561166,0.40063044,0.06606247,0.002118699,0.0011129996,0.0015915972,0.0168292,0.014274026,0.13756429,0.03075304,0.013033293,0.09041826],"study_design_scores_gemma":[0.11001687,0.30704063,0.26681396,0.00045017825,0.0020174666,0.0005879867,0.017813673,0.11670341,0.041177247,0.09686883,0.039689723,0.0008200416],"about_ca_topic_score_codex":0.004682427,"about_ca_topic_score_gemma":0.005626833,"teacher_disagreement_score":0.0145669365,"about_ca_system_score_codex":0.0010941551,"about_ca_system_score_gemma":0.0009623822,"threshold_uncertainty_score":0.048731208},"labels":[],"label_agreement":null},{"id":"W4392698473","doi":"10.3390/en17061353","title":"Distributed Energy Resources Management System (DERMS) and Its Coordination with Transmission System: A Review and Co-Simulation","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Université Laval","keywords":"Distributed generation; Computer science; Grid; Distributed computing; Energy management; Systems engineering; Smart grid; Transmission (telecommunications); Energy management system; Field (mathematics); Power transmission; Energy (signal processing); Power (physics); Renewable energy; Engineering; Telecommunications; Electrical engineering","score_opus":0.008116753800227132,"score_gpt":0.22935187080260414,"score_spread":0.221235117002377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392698473","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":[0.00091787655,0.9858665,0.0063917255,0.00041254825,0.00023714386,0.000028901415,0.00007870873,0.00003538469,0.0060312697],"genre_scores_gemma":[0.011118466,0.9833906,0.0039375736,0.00013301072,0.00017099042,0.000028610815,0.000108080654,0.000010233853,0.0011024049],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996611,0.00007397543,0.000058099107,0.00005959373,0.00012684736,0.000020444615],"domain_scores_gemma":[0.99928147,0.00042939265,0.000082808096,0.000030982574,0.00015540903,0.000019873487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072771223,0.00093638676,0.0010360936,0.0017513137,0.00021804322,0.0013701896,0.0008250846,0.0008207435,0.0032575007],"category_scores_gemma":[0.0013257286,0.00035038913,0.000721494,0.002991617,0.0003090388,0.0012329591,0.00059692416,0.0006004379,0.00096435513],"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":[0.000052046405,0.000077532204,0.00072748447,0.027875353,0.00021629824,0.00019542912,0.000108877815,0.012836219,0.0013255137,0.020954961,0.01256845,0.92306185],"study_design_scores_gemma":[0.000012151757,0.00023208122,0.001676299,0.009620257,0.0005138268,0.0010780224,0.00016663548,0.0074675605,0.0017763044,0.008585818,0.96880853,0.000062413135],"about_ca_topic_score_codex":0.0021564201,"about_ca_topic_score_gemma":0.0025229992,"teacher_disagreement_score":0.0032575007,"about_ca_system_score_codex":0.0005141501,"about_ca_system_score_gemma":0.0017153503,"threshold_uncertainty_score":0.010897458},"labels":[],"label_agreement":null},{"id":"W4392913528","doi":"10.3390/en17061457","title":"An Ethane-Based CSI Process and Two Types of Flooding Process as a Hybrid Method for Enhancing Heavy Oil Recovery","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cenovus Energy (Canada); University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Process (computing); Flooding (psychology); Water flooding; Environmental science; Enhanced oil recovery; Process engineering; Petroleum engineering; Computer science; Waste management; Engineering","score_opus":0.00783547497899661,"score_gpt":0.3084982785308165,"score_spread":0.3006628035518199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392913528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787209,0.0007967247,0.01878536,0.000057407382,0.00003268863,0.00009870632,0.00012405423,0.00024122527,0.0011430839],"genre_scores_gemma":[0.977967,0.0005616888,0.019844184,0.00004238364,0.000011445258,0.00008461612,0.00009917432,0.000027710432,0.0013618133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996921,0.000021235765,0.000025931258,0.00007511649,0.00013865468,0.00004695477],"domain_scores_gemma":[0.9998605,0.00003532867,0.00004157827,0.000014280623,0.000033888493,0.00001442767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029556602,0.00042562175,0.00041609153,0.0004020588,0.00017636182,0.00027895416,0.0003988504,0.0004174646,0.00074334006],"category_scores_gemma":[0.00033957767,0.00025238327,0.0004467849,0.00034751208,0.00031369418,0.0006866614,0.00048713823,0.0004634559,0.00021708298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109912995,0.00003606337,0.0002296381,0.00010941528,0.000005041125,0.00005456844,0.000029490573,0.00043698904,0.99464285,0.000111723435,0.000039025465,0.004195157],"study_design_scores_gemma":[0.000013325096,0.0003234659,0.0008666354,0.000003993893,0.000014170537,0.000056852412,0.000019889167,0.004681813,0.9931942,0.000027718488,0.00078589923,0.000011924665],"about_ca_topic_score_codex":0.0010278049,"about_ca_topic_score_gemma":0.0020435865,"teacher_disagreement_score":0.0010278049,"about_ca_system_score_codex":0.0002757606,"about_ca_system_score_gemma":0.00034330017,"threshold_uncertainty_score":0.0024867058},"labels":[],"label_agreement":null},{"id":"W4392952726","doi":"10.3390/en17061474","title":"Modelling and Design of a Novel Integrated Heat Exchange Reactor for Oxy-Fuel Combustion Flue Gas Deoxygenation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Catalytic Processes in Materials Science","field":"Materials Science","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":"Natural Resources Canada; Dalhousie University; University of Ottawa","funders":"Natural Resources Canada; Government of Canada","keywords":"Oxy-fuel; Deoxygenation; Flue gas; Combustion; Waste management; Heat exchanger; Process engineering; Chemistry; Environmental science; Nuclear engineering; Chemical engineering; Catalysis; Engineering; Mechanical engineering; Organic chemistry","score_opus":0.049441740780780376,"score_gpt":0.2728994166687484,"score_spread":0.22345767588796803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392952726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3961625,0.0011309735,0.5667469,0.00035183516,0.0001604228,0.0003386468,0.00090907514,0.0014428996,0.032756805],"genre_scores_gemma":[0.9574925,0.00039643978,0.035189364,0.000026455456,0.000010133065,0.00025217683,0.00020364084,0.000059836217,0.006369378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981993,0.000024378662,0.000006828515,0.000049835922,0.000057414545,0.000041624306],"domain_scores_gemma":[0.999899,0.000035293826,0.000018985922,0.000010598383,0.00002202271,0.000014034016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033915965,0.00060172094,0.0009138027,0.00030942942,0.0005416041,0.0013168468,0.001272376,0.0014793398,0.00218351],"category_scores_gemma":[0.00032470972,0.0005927797,0.0008194505,0.00024179857,0.00057741883,0.0005649049,0.00043377493,0.00059494615,0.0004524562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005697031,0.000027059878,0.00036400722,0.000064201384,0.000011153304,0.00005359696,0.000022690658,0.9866296,0.009454225,0.0010569984,0.000098317105,0.0021611657],"study_design_scores_gemma":[0.000011679974,0.000041406656,0.00021926544,0.0000043165855,0.0000075551006,0.000012439268,0.000006816845,0.99634343,0.0026578263,0.00013120787,0.0005580527,0.0000060221596],"about_ca_topic_score_codex":0.009589926,"about_ca_topic_score_gemma":0.0055222213,"teacher_disagreement_score":0.009589926,"about_ca_system_score_codex":0.001074599,"about_ca_system_score_gemma":0.0018980262,"threshold_uncertainty_score":0.019068241},"labels":[],"label_agreement":null},{"id":"W4392960272","doi":"10.3390/en17061472","title":"Interrelationship of Electric Double Layer Theory and Microfluidic Microbial Fuel Cells: A Review of Theoretical Foundations and Implications for Performance","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"Cape Breton University","keywords":"Microbial fuel cell; Microfluidics; Fuel cells; Layer (electronics); Engineering; Mechanical engineering; Nanotechnology; Materials science; Physics; Chemical engineering; Electricity generation; Thermodynamics; Power (physics)","score_opus":0.02830952822388665,"score_gpt":0.30137843552723226,"score_spread":0.2730689073033456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392960272","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":[0.0001906582,0.9975159,0.00045312857,0.00028837027,0.0001354036,0.000002923148,0.000014830198,0.0000049446367,0.001393735],"genre_scores_gemma":[0.001163771,0.99791855,0.0003542952,0.000109925226,0.00010651555,0.0000066110742,0.000015260492,0.0000014022477,0.0003236396],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979776,0.00004173719,0.00002624876,0.000039496757,0.00007421006,0.00002060444],"domain_scores_gemma":[0.99960285,0.0002647947,0.00003493116,0.0000122967695,0.00006889497,0.000016265112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498328,0.00092858175,0.0011967956,0.0025744787,0.0003220485,0.0011445016,0.0008194462,0.0012099082,0.0024329952],"category_scores_gemma":[0.00082880387,0.00039372174,0.00055908656,0.0030010769,0.00071904226,0.00190039,0.00070198206,0.0016989973,0.0009971847],"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":[0.00006245349,0.00012565748,0.0002910844,0.041672166,0.00014242252,0.00033604793,0.0002069281,0.0027169946,0.0043155625,0.0770941,0.022188617,0.8508479],"study_design_scores_gemma":[0.000010493413,0.00013350768,0.0010433493,0.009494224,0.00013892031,0.0010302871,0.00014284789,0.0007684251,0.0014606956,0.030500928,0.9552237,0.00005258529],"about_ca_topic_score_codex":0.001276747,"about_ca_topic_score_gemma":0.001351442,"teacher_disagreement_score":0.0025744787,"about_ca_system_score_codex":0.00087145163,"about_ca_system_score_gemma":0.0013623759,"threshold_uncertainty_score":0.008139193},"labels":[],"label_agreement":null},{"id":"W4393353234","doi":"10.3390/en17071665","title":"Using Deep Learning to Detect Anomalies in On-Load Tap Changer Based on Vibro-Acoustic Signal Features","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Mechanical Failure Analysis and Simulation","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; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Tap changer; SIGNAL (programming language); Computer science; Artificial intelligence; Acoustics; Speech recognition; Pattern recognition (psychology); Engineering; Electrical engineering; Physics; Voltage; Transformer","score_opus":0.014112417722908992,"score_gpt":0.24485156822572968,"score_spread":0.23073915050282068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393353234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7193517,0.0006914404,0.27482936,0.0003489357,0.00011109672,0.00005612679,0.0004896958,0.0021117225,0.002009927],"genre_scores_gemma":[0.97236013,0.00014052843,0.025323182,0.00007365007,0.000025670839,0.00002114199,0.0008831054,0.000036963756,0.0011357717],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996948,0.000044489043,0.00002014982,0.000088793255,0.00007925661,0.00007249423],"domain_scores_gemma":[0.9995278,0.00015889331,0.00007894482,0.000045205496,0.00015668894,0.00003245808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046282366,0.0007803689,0.0005277311,0.0011950727,0.00020321606,0.00051434146,0.00053323165,0.0006002368,0.00041568512],"category_scores_gemma":[0.001311784,0.00020587309,0.0005492653,0.00057318516,0.00027530824,0.00063962315,0.0005373478,0.00082527247,0.0002089303],"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":[0.00058966543,0.00081009284,0.042050276,0.00014393884,0.00027835628,0.00061305676,0.00021224572,0.42921054,0.04395764,0.0011836762,0.004400437,0.47655007],"study_design_scores_gemma":[0.0000045110455,0.00003268651,0.0048560607,0.000004868527,0.000012204891,0.000024996405,0.000024256058,0.99143606,0.0030739682,0.00032239882,0.0002013983,0.000006594093],"about_ca_topic_score_codex":0.009401205,"about_ca_topic_score_gemma":0.010679294,"teacher_disagreement_score":0.009401205,"about_ca_system_score_codex":0.00043870398,"about_ca_system_score_gemma":0.00042560292,"threshold_uncertainty_score":0.01869297},"labels":[],"label_agreement":null},{"id":"W4393388337","doi":"10.3390/en17071672","title":"Toward Prediction of Energy Consumption Peaks and Timestamping in Commercial Supermarkets Using Deep Learning","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Deep learning; Energy consumption; Consumption (sociology); Computer science; Energy (signal processing); Artificial intelligence; Statistics; Engineering; Electrical engineering; Mathematics; Sociology","score_opus":0.04359761656700591,"score_gpt":0.26358940129200115,"score_spread":0.21999178472499523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393388337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8216912,0.002196127,0.15683998,0.000725144,0.0002602488,0.0001074977,0.0063206186,0.006610576,0.005248514],"genre_scores_gemma":[0.9598186,0.00033952016,0.031233406,0.00009498392,0.000060779916,0.000042896594,0.0065783537,0.000055213273,0.0017762206],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997874,0.00002557753,0.000013408308,0.000071604365,0.000046950427,0.00005505622],"domain_scores_gemma":[0.9996872,0.000116499,0.000044653712,0.000027317023,0.00009312155,0.000031236435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044803382,0.000995146,0.00052849523,0.0014140677,0.00024298947,0.0006152581,0.00083475857,0.00065071514,0.0011460497],"category_scores_gemma":[0.0013487578,0.0002379654,0.0005209675,0.001166379,0.00015965367,0.0011025928,0.000620427,0.0009672965,0.00064974156],"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":[0.0010945376,0.0010475861,0.07194451,0.00024743262,0.00018946202,0.0006152401,0.0001972432,0.40081775,0.011611499,0.0015657548,0.019050391,0.49161866],"study_design_scores_gemma":[0.0000064655933,0.000027837264,0.0033841026,0.000005789257,0.000007072247,0.00001624635,0.000040362935,0.99436533,0.0013270819,0.00041598364,0.00039819465,0.000005550266],"about_ca_topic_score_codex":0.024895364,"about_ca_topic_score_gemma":0.029562522,"teacher_disagreement_score":0.024895364,"about_ca_system_score_codex":0.0006312386,"about_ca_system_score_gemma":0.00077961973,"threshold_uncertainty_score":0.049500942},"labels":[],"label_agreement":null},{"id":"W4393950544","doi":"10.3390/en17071733","title":"Performance Assessment of Venturi-Assisted Confined Tube Aerators with Varying Diameter","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"U.S. Department of Energy","keywords":"Venturi effect; Tube (container); Materials science; Composite material; Mechanical engineering; Engineering; Inlet","score_opus":0.00575240338837558,"score_gpt":0.20610924581802004,"score_spread":0.20035684242964447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393950544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994928,0.00023707552,0.0045040096,0.000015329353,0.0000074485206,0.000011255246,0.000038033617,0.00006662985,0.00019218234],"genre_scores_gemma":[0.99541324,0.00015711758,0.0040510497,0.0000051025377,0.0000028991592,0.000013193363,0.00004777629,0.0000066585185,0.00030306962],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997719,0.000052385167,0.000026355967,0.00004483262,0.00008010257,0.000024453213],"domain_scores_gemma":[0.9995028,0.0001917213,0.00009423151,0.00004090403,0.0001328031,0.000037430982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005251174,0.0003036159,0.00037697805,0.00024390958,0.00015763831,0.0003464362,0.0003361744,0.0003666219,0.0002734384],"category_scores_gemma":[0.0008777627,0.00013139538,0.00036076386,0.00021525583,0.00021514339,0.0003590372,0.00029083274,0.00019338162,0.000109246066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004773429,0.000100931364,0.0031584173,0.00012982481,0.000020159609,0.00005505439,0.00008908801,0.011491816,0.9740007,0.000113610346,0.00004562785,0.010317409],"study_design_scores_gemma":[0.000030856,0.0022852034,0.008954544,0.000007680695,0.000040411414,0.00008868812,0.00006524843,0.07883578,0.9086936,0.00004620065,0.0009151874,0.0000365311],"about_ca_topic_score_codex":0.0007436253,"about_ca_topic_score_gemma":0.00087364734,"teacher_disagreement_score":0.0007436253,"about_ca_system_score_codex":0.00026532717,"about_ca_system_score_gemma":0.00018857114,"threshold_uncertainty_score":0.0027770996},"labels":[],"label_agreement":null},{"id":"W4393979021","doi":"10.3390/en17071744","title":"Auditing and Analysis of Natural Gas Consumptions in Small- and Medium-Sized Industrial Facilities in the Greater Toronto Area for Energy Conservation Opportunities","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficiency and Management","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Audit; Energy conservation; Natural gas; Industrial area; Business; Environmental science; Waste management; Environmental economics; Engineering; Environmental protection; Economics; Accounting","score_opus":0.08836877992358992,"score_gpt":0.26346998732173443,"score_spread":0.1751012073981445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393979021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997191,0.00009571132,0.00028544734,0.000047416794,0.000002203426,0.000056929624,0.00062959135,0.000013156562,0.0016783683],"genre_scores_gemma":[0.9972615,0.000123756,0.00049321074,0.000013048006,0.0000013175467,0.000014444396,0.00047661713,0.0000036946576,0.0016124188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879324,0.00010587979,0.000055052013,0.0000887863,0.00076428143,0.0001927958],"domain_scores_gemma":[0.9949486,0.00068714644,0.0011232748,0.00018299483,0.0025954633,0.00046244322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067204115,0.00023852215,0.00016200733,0.001910856,0.0013690034,0.00064563355,0.0005555233,0.00018317942,0.0010198068],"category_scores_gemma":[0.00232202,0.00020242066,0.00014615034,0.003500274,0.00059903576,0.0002705163,0.0006659104,0.0002608628,0.0001065429],"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":[0.00024248044,0.00007199537,0.9512658,0.0001855207,0.000031517364,0.0006053357,0.005449557,0.0017483751,0.006225753,0.00021062525,0.001193114,0.03277004],"study_design_scores_gemma":[0.0000018758589,0.00004993185,0.99108446,0.000017797754,0.0000066810235,0.000055262186,0.00504013,0.000798873,0.001340584,0.000013234155,0.0015810982,0.000010015239],"about_ca_topic_score_codex":0.8254766,"about_ca_topic_score_gemma":0.9465959,"teacher_disagreement_score":0.17452341,"about_ca_system_score_codex":0.010163784,"about_ca_system_score_gemma":0.008809772,"threshold_uncertainty_score":0.3511024},"labels":[],"label_agreement":null},{"id":"W4393987487","doi":"10.3390/en17071740","title":"Hygrothermal Performance of the Hemp Concrete Building Envelope","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Building envelope; Envelope (radar); Architectural engineering; Structural engineering; Civil engineering; Engineering; Forensic engineering; Telecommunications; Geography","score_opus":0.008267002802193089,"score_gpt":0.19388773954752642,"score_spread":0.18562073674533333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393987487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757355,0.000036437777,0.0014152317,0.0000058346723,0.000002253301,0.0000053676267,0.000057094814,0.00003505454,0.0008691485],"genre_scores_gemma":[0.99899656,0.00003891964,0.000495793,0.000002179357,4.4766034e-7,0.000003697815,0.00005744703,0.000008348928,0.000396541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998098,0.00002585588,0.000008893139,0.00003186302,0.00008459522,0.0000389136],"domain_scores_gemma":[0.9998574,0.000052007534,0.000024359359,0.000021781969,0.000029582287,0.000014852284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024554195,0.00038024306,0.00031554367,0.00024738073,0.00022756547,0.00041012187,0.0002244367,0.00035054403,0.0010069017],"category_scores_gemma":[0.00039581396,0.00018197492,0.00032911284,0.00024868632,0.00035715496,0.00030876932,0.0003073273,0.00029347607,0.00024776923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038871294,0.00009917764,0.009529569,0.00010167491,0.00003629516,0.0004626508,0.00019284719,0.2941479,0.68260014,0.00039102597,0.0001245412,0.011925522],"study_design_scores_gemma":[0.000038684102,0.001293412,0.033642706,0.000028292097,0.000059890088,0.00027037517,0.0002678356,0.28631908,0.676441,0.00018627306,0.0013951693,0.000057276233],"about_ca_topic_score_codex":0.0017518655,"about_ca_topic_score_gemma":0.0017632365,"teacher_disagreement_score":0.0017518655,"about_ca_system_score_codex":0.00029577233,"about_ca_system_score_gemma":0.00023885828,"threshold_uncertainty_score":0.0034832954},"labels":[],"label_agreement":null},{"id":"W4393993100","doi":"10.3390/en17071747","title":"Detonation Cell Size Prediction Using Artificial Neural Networks (ANNs) for Hydrogen/Hydrocarbon/Ammonia/Nitrous Oxide Mixtures","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Shanghai Jiao Tong University","keywords":"Nitrous oxide; Detonation; Hydrocarbon; Ammonia; Artificial neural network; Hydrogen; Chemistry; Environmental science; Chemical engineering; Materials science; Computer science; Engineering; Organic chemistry; Artificial intelligence; Explosive material","score_opus":0.011167956102041484,"score_gpt":0.22242037277703752,"score_spread":0.21125241667499603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393993100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8398498,0.00070767436,0.15540749,0.00013307952,0.00009390991,0.000034981073,0.00029590394,0.00050985604,0.002967247],"genre_scores_gemma":[0.9850478,0.00013892511,0.013863766,0.000021061083,0.0000073849337,0.000030314748,0.00017768741,0.000012526664,0.00070052367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987483,0.000022969585,0.000011749564,0.00003613282,0.000038663915,0.000015681399],"domain_scores_gemma":[0.9996532,0.00020442145,0.000043701813,0.000019062052,0.00006896254,0.000010526663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038263062,0.0006111152,0.0003476607,0.00037822447,0.00018592183,0.0004285349,0.00040423268,0.0005618867,0.00042765733],"category_scores_gemma":[0.0008011971,0.00022383001,0.0004262737,0.0002842796,0.00017656779,0.0004576118,0.00029589166,0.0004796928,0.00012657954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112455265,0.000053059095,0.0029110862,0.000043931443,0.000024689978,0.00005774415,0.00001321408,0.96839494,0.00849344,0.00015214195,0.00014053303,0.019602748],"study_design_scores_gemma":[0.0000010394281,0.00001059598,0.0005495838,0.0000015832073,0.0000025789273,0.0000034596985,0.000002438068,0.9967955,0.0025228353,0.000060682003,0.000046600446,0.0000031350046],"about_ca_topic_score_codex":0.0044268775,"about_ca_topic_score_gemma":0.0034230344,"teacher_disagreement_score":0.0044268775,"about_ca_system_score_codex":0.00053479837,"about_ca_system_score_gemma":0.00024341219,"threshold_uncertainty_score":0.0088021755},"labels":[],"label_agreement":null},{"id":"W4394570563","doi":"10.3390/en17071763","title":"Hybrid Power System Design and Dynamic Modeling for Enhanced Reliability in Remote Natural Gas Pipeline Control Stations","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pipeline (software); Reliability (semiconductor); Natural gas; Computer science; Power (physics); Pipeline transport; Reliability engineering; Engineering; Environmental science; Control engineering; Mechanical engineering","score_opus":0.007820845164194339,"score_gpt":0.24042370970998708,"score_spread":0.23260286454579274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394570563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07700915,0.00056425,0.8900717,0.00021579671,0.00005916829,0.00020672216,0.00032746088,0.0013615016,0.030184256],"genre_scores_gemma":[0.965657,0.0002964512,0.025277441,0.000028008517,0.000015951147,0.00033291546,0.0001447691,0.000081926795,0.008165602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999772,0.0000661674,0.000008444715,0.00004390063,0.00008573091,0.000023796241],"domain_scores_gemma":[0.9998293,0.00007036878,0.000029269517,0.000014176724,0.000050076604,0.0000067386495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030837863,0.00056435564,0.0005435523,0.00033435127,0.00036474614,0.0008844188,0.0007103092,0.0007793728,0.004971535],"category_scores_gemma":[0.0004511532,0.00039928826,0.000840468,0.000283389,0.00033187892,0.0005269158,0.00044874314,0.00056958426,0.00065506424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003392581,0.00001372985,0.00024995024,0.00006796551,0.000015454576,0.00006850028,0.00004626371,0.9888785,0.0033661274,0.0014928869,0.00028756447,0.005479024],"study_design_scores_gemma":[0.0000058589603,0.000038244045,0.00013631595,0.000007015328,0.000007413367,0.00001396272,0.000009533541,0.99750024,0.00087104586,0.0004071052,0.0009995513,0.0000036776958],"about_ca_topic_score_codex":0.0052301637,"about_ca_topic_score_gemma":0.0039930046,"teacher_disagreement_score":0.0052301637,"about_ca_system_score_codex":0.0005335807,"about_ca_system_score_gemma":0.0005703994,"threshold_uncertainty_score":0.016631424},"labels":[],"label_agreement":null},{"id":"W4394572533","doi":"10.3390/en17071749","title":"Micro Photosynthetic Power Cell Array for Energy Harvesting: Bio-Inspired Modeling, Testing and Verification","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voltage; Power (physics); Maximum power principle; Computer science; Electrical engineering; Biological system; Electronic engineering; Engineering; Physics; Biology","score_opus":0.01424596429370959,"score_gpt":0.2021481414003675,"score_spread":0.1879021771066579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394572533","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37001997,0.00090836914,0.6084923,0.0005703502,0.000103931554,0.00017184464,0.0005077386,0.00052849203,0.01869698],"genre_scores_gemma":[0.9359393,0.0005385434,0.059982564,0.000044960714,0.000012133369,0.00022580592,0.00013664497,0.000022682498,0.0030972625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998567,0.000016687063,0.000004903892,0.000027003349,0.00008398561,0.000010626698],"domain_scores_gemma":[0.9998541,0.00006199017,0.000017491566,0.000023517909,0.000037948834,0.0000049379687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020830292,0.000255682,0.00031040388,0.00012428852,0.00019258892,0.00039054058,0.00064011867,0.00057415484,0.0010050677],"category_scores_gemma":[0.00043902273,0.00016611225,0.000377117,0.00023202397,0.00024010405,0.00057338155,0.00031033877,0.00031793196,0.00028130683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004415193,0.00006472971,0.001177714,0.00017569118,0.000019118708,0.00018948923,0.000075245196,0.8424027,0.13160464,0.005794866,0.00040832363,0.018043278],"study_design_scores_gemma":[0.000003486562,0.00004925812,0.00027238496,0.000004445975,0.0000034324096,0.000025018402,0.000012883505,0.97762793,0.020469125,0.0007098123,0.00081630744,0.000005921031],"about_ca_topic_score_codex":0.0010727707,"about_ca_topic_score_gemma":0.0008263651,"teacher_disagreement_score":0.0010727707,"about_ca_system_score_codex":0.0003264554,"about_ca_system_score_gemma":0.0003456021,"threshold_uncertainty_score":0.0033622384},"labels":[],"label_agreement":null},{"id":"W4394690201","doi":"10.3390/en17081807","title":"Canada’s Geothermal Energy Update in 2023","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","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":"Institut National de la Recherche Scientifique; Cenovus Energy (Canada); Geological Survey of Canada; University of Waterloo; University of Alberta; Natural Resources Canada; Alberta Energy","funders":"","keywords":"Geothermal gradient; Geothermal energy; Environmental science; Natural resource economics; Environmental protection; Geology; Economics; Geophysics","score_opus":0.0055677507407168704,"score_gpt":0.21107147691669118,"score_spread":0.20550372617597432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394690201","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":[0.0041987696,0.1144624,0.0025505386,0.19297986,0.09540826,0.0006314615,0.24265452,0.003407742,0.34370646],"genre_scores_gemma":[0.03397189,0.1026949,0.007856133,0.10756264,0.00806961,0.00052610406,0.20123291,0.0010906963,0.53699505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99611425,0.000085733496,0.00015848756,0.0001396511,0.003001163,0.000500594],"domain_scores_gemma":[0.99091315,0.00019205117,0.00016949991,0.00011807537,0.0072226436,0.0013845308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026048461,0.0013923866,0.0009653451,0.004926955,0.004059586,0.0064777806,0.0031877384,0.0044455,0.029793018],"category_scores_gemma":[0.006378836,0.00067769166,0.0010467581,0.008255146,0.0010540432,0.0026682864,0.002791204,0.004696698,0.009910964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015604262,0.000008372648,0.00034268928,0.00011465623,0.000006990614,0.000034270026,0.0000151926915,0.00007451714,0.000044323126,0.0008229988,0.9846223,0.01389803],"study_design_scores_gemma":[0.000006036407,0.000002603506,0.001419342,0.00011420308,0.000005648496,0.000024586401,0.000035588506,0.00004641647,0.00005034632,0.00015827171,0.9981274,0.000009604998],"about_ca_topic_score_codex":0.95363194,"about_ca_topic_score_gemma":0.9802337,"teacher_disagreement_score":0.046368062,"about_ca_system_score_codex":0.03689395,"about_ca_system_score_gemma":0.14554527,"threshold_uncertainty_score":0.2676856},"labels":[],"label_agreement":null},{"id":"W4394726052","doi":"10.3390/en17081828","title":"A New Method for Optimizing Water-Flooding Strategies in Multi-Layer Sandstone Reservoirs","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"PetroChina Company Limited; National Natural Science Foundation of China; University of Alberta","keywords":"Water flooding; Flooding (psychology); Petroleum engineering; Layer (electronics); Geology; Environmental science; Materials science; Nanotechnology","score_opus":0.04717402968143773,"score_gpt":0.35260097756435355,"score_spread":0.3054269478829158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394726052","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01559392,0.0001862254,0.9818278,0.00004749171,0.000017757138,0.00008492772,0.000023666873,0.0001756437,0.0020426293],"genre_scores_gemma":[0.41059735,0.0004087424,0.5850637,0.000052294432,0.0000210813,0.00042701114,0.000077893215,0.000084272775,0.003267617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998185,0.000035746885,0.000015304253,0.000042955333,0.00007164703,0.00001593535],"domain_scores_gemma":[0.9998435,0.00006948337,0.000029021578,0.00000892748,0.00004238204,0.000006657188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050111744,0.0007158404,0.0006075887,0.00053891813,0.00023823578,0.00043336165,0.00051695056,0.000501629,0.001013252],"category_scores_gemma":[0.00063560915,0.00041880368,0.00060361647,0.0003853633,0.00027875183,0.0005936561,0.00045529637,0.0004272234,0.00013970587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039886985,0.00006652787,0.00053043454,0.00025991554,0.000042375214,0.000079548525,0.00007835775,0.8772758,0.027099324,0.0061639347,0.0005295119,0.08783433],"study_design_scores_gemma":[0.000010224075,0.000046265093,0.000101461315,0.000006066056,0.000010723508,0.000015495934,0.000006918681,0.9953933,0.003000547,0.00054312294,0.00085887336,0.000006940933],"about_ca_topic_score_codex":0.0027949307,"about_ca_topic_score_gemma":0.0033599574,"teacher_disagreement_score":0.0027949307,"about_ca_system_score_codex":0.0004526954,"about_ca_system_score_gemma":0.0010887899,"threshold_uncertainty_score":0.0055572987},"labels":[],"label_agreement":null},{"id":"W4394818113","doi":"10.3390/en17081858","title":"A Water-to-Water Heat Pump Model with Experimental Validation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Condenser (optics); Evaporator; Thermal expansion valve; Gas compressor; Superheating; Heat pump; Test bench; Refrigerant; Mechanics; Engineering; Mechanical engineering; Nuclear engineering; Thermodynamics; Heat exchanger; Physics","score_opus":0.009709693764557482,"score_gpt":0.2175718104313935,"score_spread":0.20786211666683602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394818113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64134896,0.0003880551,0.31402394,0.00038936053,0.00015890606,0.0010761883,0.0054134945,0.002382858,0.034818236],"genre_scores_gemma":[0.9719759,0.00020848485,0.018690798,0.000027436183,0.000010896429,0.0007527762,0.00095990143,0.000066256565,0.0073074456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966455,0.00004946678,0.000024165383,0.000090735855,0.00012999827,0.000041071788],"domain_scores_gemma":[0.9995559,0.00016118256,0.000039863415,0.00006620169,0.00015976359,0.000017008551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057939574,0.0007461502,0.0008181569,0.0003498963,0.0006444821,0.00092205015,0.001524443,0.0010878812,0.0055568586],"category_scores_gemma":[0.0010973765,0.00042515344,0.0008116713,0.0005182405,0.00063492253,0.0011546336,0.0005336621,0.0009706291,0.0008722624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088458255,0.00013011403,0.000854096,0.000116283394,0.000011012509,0.00003852628,0.00003150505,0.98529434,0.0069559067,0.0016421976,0.0004200577,0.0044174925],"study_design_scores_gemma":[0.000035167977,0.00012410631,0.0005718835,0.0000048739953,0.000009374806,0.000007571255,0.000012088371,0.9935999,0.004489401,0.00032900317,0.00080565474,0.000010987048],"about_ca_topic_score_codex":0.012565604,"about_ca_topic_score_gemma":0.0054096263,"teacher_disagreement_score":0.012565604,"about_ca_system_score_codex":0.00076661963,"about_ca_system_score_gemma":0.001569079,"threshold_uncertainty_score":0.024984956},"labels":[],"label_agreement":null},{"id":"W4394838017","doi":"10.3390/en17081861","title":"Advances in Adsorption, Absorption, and Catalytic Materials for VOCs Generated in Typical Industries","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Adsorption; Catalysis; Catalytic combustion; Environmental remediation; Waste management; Environmental science; Process engineering; Combustion; Catalytic oxidation; Materials science; Chemical engineering; Chemistry; Contamination; Engineering; Organic chemistry","score_opus":0.013556734376391667,"score_gpt":0.27572287419800684,"score_spread":0.2621661398216152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394838017","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09796044,0.7447206,0.08251077,0.002348645,0.0014041314,0.00017971236,0.0002756571,0.0005126065,0.07008753],"genre_scores_gemma":[0.34427372,0.54816025,0.0878778,0.0009346023,0.0011472936,0.00024676207,0.00042705762,0.00015712548,0.01677546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994549,0.00006766144,0.000050951825,0.00014015581,0.0002244182,0.00006182133],"domain_scores_gemma":[0.99976987,0.000083258215,0.000035114197,0.000022712766,0.00007625616,0.000012724519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008700606,0.0010510085,0.0005870963,0.0020467571,0.0005620361,0.00078836357,0.0006979962,0.0009687962,0.002484748],"category_scores_gemma":[0.000499144,0.00052327017,0.0011624414,0.0016073266,0.00044999848,0.0020102465,0.00067656237,0.0012388321,0.0011122916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017102381,0.00049263146,0.002350935,0.016064623,0.00014522634,0.0005318936,0.000464314,0.0043916516,0.5000056,0.048110016,0.0069738794,0.4202983],"study_design_scores_gemma":[0.000029022422,0.00058240053,0.0035960781,0.00053598656,0.00024334149,0.0013738507,0.00032328334,0.009703594,0.52201873,0.008456267,0.4530125,0.00012504651],"about_ca_topic_score_codex":0.0011513634,"about_ca_topic_score_gemma":0.0019351642,"teacher_disagreement_score":0.002484748,"about_ca_system_score_codex":0.0007052308,"about_ca_system_score_gemma":0.00053911726,"threshold_uncertainty_score":0.008312285},"labels":[],"label_agreement":null},{"id":"W4394891236","doi":"10.3390/en17081913","title":"Influence of Electric Motor Manufacturing Tolerances on End-of-Line Testing: A Review","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Magna International (Canada); University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Automotive engineering; Stator; Electric motor; Traction motor; Engineering; Torque; Parametric statistics; Mechanical engineering","score_opus":0.033845075519267805,"score_gpt":0.2866441950817595,"score_spread":0.2527991195624917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394891236","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":[0.0006135499,0.99687445,0.00061884196,0.00013773405,0.00010908541,0.000012180927,0.000035234552,0.000012218822,0.0015866531],"genre_scores_gemma":[0.0032650107,0.9951546,0.0006730781,0.00009163553,0.000077848716,0.000014621693,0.000048635295,0.000005642301,0.000668957],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999241,0.00012656512,0.00012803395,0.00014621462,0.00031617825,0.0000420284],"domain_scores_gemma":[0.99711716,0.0017650175,0.0003345086,0.00007077337,0.0006682434,0.000044271954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016021469,0.0010956785,0.0013649461,0.0031930916,0.00031396677,0.0012547564,0.0012380636,0.0012704149,0.003140454],"category_scores_gemma":[0.0026215182,0.0005818118,0.0008799168,0.0033245885,0.0005080223,0.0016037989,0.0005732179,0.00074025727,0.0012938473],"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":[0.00007554407,0.000115839815,0.0007298798,0.07926442,0.00019795558,0.00020621534,0.00016076602,0.0019075539,0.0041342406,0.005842957,0.011320934,0.8960437],"study_design_scores_gemma":[0.000011888307,0.0003191868,0.0024971645,0.017865717,0.0006304302,0.0011715578,0.00023729769,0.00064415927,0.005368913,0.0022204248,0.9689691,0.00006410195],"about_ca_topic_score_codex":0.0016919434,"about_ca_topic_score_gemma":0.0022588829,"teacher_disagreement_score":0.0031930916,"about_ca_system_score_codex":0.0005896026,"about_ca_system_score_gemma":0.0017702997,"threshold_uncertainty_score":0.010505855},"labels":[],"label_agreement":null},{"id":"W4394923526","doi":"10.3390/en17081927","title":"Microporous Adsorbent-Based Mixed Matrix Membranes for CO2/N2 Separation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Membrane; Barrer; Gas separation; Chemical engineering; Microporous material; Polyacrylonitrile; Adsorption; Zeolite; Permeation; Materials science; Polyvinyl alcohol; Polymer; Chemistry; Organic chemistry; Composite material; Catalysis","score_opus":0.010425847943313159,"score_gpt":0.27252978093082725,"score_spread":0.2621039329875141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394923526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89812905,0.018656101,0.07429688,0.00036167074,0.00024988764,0.0002559002,0.00097030617,0.00082220987,0.0062580537],"genre_scores_gemma":[0.9449025,0.0062976307,0.04409427,0.00011664393,0.000041622574,0.0001538392,0.0003921583,0.000044255983,0.0039571286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999716,0.00003704424,0.00001772221,0.00007361213,0.00010749972,0.00004807405],"domain_scores_gemma":[0.9999138,0.000019469655,0.000018129844,0.00000671821,0.00002982554,0.0000120718405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000331453,0.0006084666,0.00033778584,0.0004429471,0.0003032066,0.00031809264,0.00036771485,0.00068966247,0.0006425376],"category_scores_gemma":[0.0001994625,0.00021722089,0.0005135177,0.00023663796,0.00013761579,0.0006999452,0.00029297455,0.0004427888,0.0005162612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002733859,0.000013858025,0.000042055337,0.000100296005,0.000009595284,0.000035007764,0.000008395824,0.00009402021,0.99731284,0.00011065353,0.000045711626,0.0022000931],"study_design_scores_gemma":[0.0000059227646,0.00008868541,0.00045097913,0.000006691323,0.000013483884,0.000103618615,0.000013262031,0.0017079952,0.99482805,0.000041816904,0.0027298294,0.000009637012],"about_ca_topic_score_codex":0.0010333922,"about_ca_topic_score_gemma":0.00317382,"teacher_disagreement_score":0.0010333922,"about_ca_system_score_codex":0.00046147127,"about_ca_system_score_gemma":0.00025640926,"threshold_uncertainty_score":0.0033482313},"labels":[],"label_agreement":null},{"id":"W4394931387","doi":"10.3390/en17081924","title":"Optimizing the Installation of a Centralized Green Hydrogen Production Facility in the Island of Crete, Greece","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ballard Power Systems (Canada)","funders":"Hellenic Foundation for Research and Innovation","keywords":"Production (economics); Hydrogen production; Environmental science; Waste management; Engineering; Hydrogen; Economics; Physics","score_opus":0.016622090182601676,"score_gpt":0.23442036270313216,"score_spread":0.21779827252053047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394931387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560476,0.00025327672,0.030712636,0.00034926052,0.000029627532,0.00016431721,0.00031053668,0.00014259445,0.011990161],"genre_scores_gemma":[0.99385697,0.00007654885,0.004694918,0.00003093104,0.0000021539818,0.00004393245,0.00007472064,0.000010825949,0.001209049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996793,0.00010637582,0.000009163371,0.000060536997,0.00003498157,0.00010951144],"domain_scores_gemma":[0.9995795,0.00020538493,0.000065538006,0.000026306576,0.00006486886,0.000058500103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007758027,0.0006760764,0.00060741504,0.00043021352,0.00033603594,0.0011516409,0.00070019515,0.0011266345,0.0026294633],"category_scores_gemma":[0.0013731178,0.00039729374,0.000650958,0.0004177094,0.00053545786,0.0006176514,0.00075297675,0.0005689258,0.00017031842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007504315,0.000053736432,0.0013913753,0.00005342667,0.00002535078,0.00021609449,0.000016034513,0.9925518,0.0013492852,0.0006625232,0.00024648022,0.0033588686],"study_design_scores_gemma":[0.00004536994,0.00023782285,0.0030412017,0.00001813053,0.000048852256,0.00004461593,0.0001959786,0.9939475,0.0011467353,0.0007648245,0.00049500196,0.00001391506],"about_ca_topic_score_codex":0.032294784,"about_ca_topic_score_gemma":0.024067016,"teacher_disagreement_score":0.032294784,"about_ca_system_score_codex":0.0017012537,"about_ca_system_score_gemma":0.0019692818,"threshold_uncertainty_score":0.06421363},"labels":[],"label_agreement":null},{"id":"W4394955143","doi":"10.3390/en17081948","title":"Experimental Identification of a Coupled-Circuit Model for the Digital Twin of a Wound-Rotor Induction Machine","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Rotor (electric); Identification (biology); Wound rotor motor; Control engineering; Engineering; Control theory (sociology); Computer science; Induction motor; Electrical engineering; Artificial intelligence; Voltage","score_opus":0.018423912691096812,"score_gpt":0.24676005062570058,"score_spread":0.22833613793460378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394955143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53543574,0.00016695964,0.4553598,0.00022235698,0.0001315535,0.0002009899,0.00032601398,0.0012180336,0.0069385283],"genre_scores_gemma":[0.97140366,0.00004705251,0.027429696,0.000015380569,0.000004137188,0.000052923144,0.000095966694,0.000026876192,0.00092430285],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960274,0.000045440007,0.00002302906,0.00011066617,0.00019510479,0.00002311796],"domain_scores_gemma":[0.9995732,0.00011830712,0.000052312054,0.00011028289,0.00011299382,0.00003295371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005633096,0.00034897187,0.00033856265,0.0003171893,0.00023412377,0.00047853694,0.0008105916,0.00048825372,0.0018860067],"category_scores_gemma":[0.0012041907,0.00021381049,0.00032517005,0.00026756877,0.0005666634,0.0008967864,0.00038933428,0.0005000286,0.00036678722],"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":[0.0007366554,0.0005396357,0.007458526,0.00084495137,0.00007253636,0.00065689784,0.000765106,0.14150663,0.7506122,0.019609904,0.0026077824,0.07458904],"study_design_scores_gemma":[0.00002992154,0.000933368,0.0026938252,0.00002502159,0.000039352286,0.00025586042,0.00009842844,0.78054917,0.20874602,0.0017947021,0.004807796,0.00002659684],"about_ca_topic_score_codex":0.0004149341,"about_ca_topic_score_gemma":0.00059372315,"teacher_disagreement_score":0.0018860067,"about_ca_system_score_codex":0.00041795356,"about_ca_system_score_gemma":0.00034363283,"threshold_uncertainty_score":0.0063093305},"labels":[],"label_agreement":null},{"id":"W4395034872","doi":"10.3390/en17092000","title":"Automatic Generation Control of a Multi-Area Hybrid Renewable Energy System Using a Proposed Novel GA-Fuzzy Logic Self-Tuning PID Controller","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"PID controller; Renewable energy; Fuzzy logic; Particle swarm optimization; Computer science; Control engineering; Hybrid system; Controller (irrigation); Control theory (sociology); Automatic Generation Control; Engineering; Electric power system; Power (physics); Algorithm; Control (management); Temperature control; Artificial intelligence; Electrical engineering","score_opus":0.02293256950597676,"score_gpt":0.21836981307562664,"score_spread":0.19543724356964987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395034872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07520999,0.0005373237,0.9128238,0.00015501803,0.00018562292,0.00011120695,0.000045132143,0.0012579191,0.009674026],"genre_scores_gemma":[0.9372672,0.0001407556,0.05850773,0.00006708996,0.000024036415,0.00010957354,0.00003301627,0.00001920124,0.0038313335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984086,0.000022401775,0.000010405928,0.000048662398,0.00006034007,0.00001739812],"domain_scores_gemma":[0.9998708,0.00002810652,0.00002378237,0.000011299356,0.00005699824,0.000008940581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027201194,0.0004156534,0.00042104436,0.00029360034,0.00035159793,0.0007248917,0.0006722852,0.00052982534,0.0009058003],"category_scores_gemma":[0.00035080663,0.00017241696,0.00028019148,0.00025853683,0.00023713327,0.00026005326,0.00023399277,0.0003151288,0.00022652614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002705786,0.00020681089,0.0018200263,0.00024378565,0.00015174322,0.00044775248,0.00016347035,0.6967908,0.06814539,0.0042310506,0.0021879026,0.22534071],"study_design_scores_gemma":[0.000042544154,0.000116951414,0.00047086136,0.000007696991,0.00002105024,0.00007796768,0.00000821503,0.9919871,0.005448786,0.00040259198,0.0014039625,0.000012264944],"about_ca_topic_score_codex":0.0029981595,"about_ca_topic_score_gemma":0.0036360763,"teacher_disagreement_score":0.0029981595,"about_ca_system_score_codex":0.0003271848,"about_ca_system_score_gemma":0.00043243088,"threshold_uncertainty_score":0.005961418},"labels":[],"label_agreement":null},{"id":"W4395048702","doi":"10.3390/en17091986","title":"Designing a Real-Time Implementable Optimal Adaptive Cruise Control for Improving Battery Health and Energy Consumption in EVs through V2V Communication","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Automotive engineering; Robustness (evolution); Energy consumption; Cooperative Adaptive Cruise Control; Battery (electricity); Computer science; Battery electric vehicle; Electric vehicle; Efficient energy use; Cruise control; Simulation; Engineering; Control (management); Power (physics); Electrical engineering","score_opus":0.012729823913191383,"score_gpt":0.24695576364889768,"score_spread":0.2342259397357063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395048702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0445791,0.00034497242,0.9487974,0.00015448393,0.000070800925,0.00007162444,0.000028452056,0.0005040992,0.0054490557],"genre_scores_gemma":[0.9850323,0.000115743045,0.013514247,0.000040719897,0.000019094188,0.000057632576,0.000029752955,0.000015401574,0.0011750393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980193,0.000025745738,0.000008100822,0.000053400618,0.00006433455,0.000046486497],"domain_scores_gemma":[0.9998548,0.000038934064,0.000027445021,0.000014454333,0.00005466064,0.000009685356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026129195,0.0005018177,0.00031963052,0.00022649483,0.00022610817,0.00047536808,0.00082120235,0.00043701375,0.0007441665],"category_scores_gemma":[0.00062658853,0.00015386213,0.00024919666,0.00014743808,0.00033634124,0.000430731,0.00055698137,0.00050085003,0.00017150873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017366756,0.00007690637,0.0012859602,0.00017969185,0.000041284213,0.00017260949,0.00012750532,0.85693055,0.03663917,0.0058109276,0.0012403361,0.097321436],"study_design_scores_gemma":[0.000012583836,0.00014009122,0.00037716408,0.000009955194,0.000011026691,0.000036018053,0.000028788321,0.99167585,0.005172231,0.0010776134,0.0014504697,0.000008302334],"about_ca_topic_score_codex":0.0036508227,"about_ca_topic_score_gemma":0.0030886845,"teacher_disagreement_score":0.0036508227,"about_ca_system_score_codex":0.0002397737,"about_ca_system_score_gemma":0.000600873,"threshold_uncertainty_score":0.0072591305},"labels":[],"label_agreement":null},{"id":"W4395675237","doi":"10.3390/en17092055","title":"A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Wind power; Resource (disambiguation); Natural resource economics; Rural electrification; Electricity generation; Environmental science; Environmental resource management; Environmental planning; Power (physics); Geography; Environmental economics; Engineering; Computer science; Economics; Electricity; Electrical engineering","score_opus":0.020769903095040558,"score_gpt":0.2643619628990983,"score_spread":0.24359205980405774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395675237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96460396,0.00038758852,0.015483718,0.00039416738,0.000010817147,0.00027952678,0.0024064896,0.00008527614,0.016348422],"genre_scores_gemma":[0.98550004,0.00031920907,0.011176659,0.000023961536,0.000006101192,0.0001110831,0.0012617129,0.000016484377,0.00158474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99961483,0.00014370914,0.000020051064,0.00003620723,0.00013949264,0.00004563603],"domain_scores_gemma":[0.99948126,0.00013225639,0.00006825983,0.000025541598,0.00023077453,0.000061932544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007571089,0.00067533134,0.0002745575,0.0024479656,0.0005756615,0.0011681886,0.0003870449,0.00033860753,0.0019140654],"category_scores_gemma":[0.0011461175,0.00015016436,0.00040056332,0.0025125688,0.00027511775,0.0007974196,0.0008526467,0.00029738576,0.00015421552],"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":[0.0002454275,0.0003352073,0.30307388,0.0011017581,0.0004567771,0.005634638,0.004134494,0.45124745,0.014629788,0.007901426,0.0071807825,0.2040584],"study_design_scores_gemma":[0.000034499248,0.0005399543,0.44285986,0.00043877607,0.00021423287,0.0007483611,0.026853807,0.49364626,0.0049583544,0.0053478344,0.024234211,0.00012393693],"about_ca_topic_score_codex":0.039817158,"about_ca_topic_score_gemma":0.08214119,"teacher_disagreement_score":0.039817158,"about_ca_system_score_codex":0.0012335759,"about_ca_system_score_gemma":0.0014829696,"threshold_uncertainty_score":0.07917076},"labels":[],"label_agreement":null},{"id":"W4395675428","doi":"10.3390/en17092053","title":"Efficient Modeling of Distributed Energy Resources’ Impact on Electric Grid Technical Losses: A Dynamic Regression Approach","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Grid; Distributed generation; Computer science; Regression analysis; Energy (signal processing); Regression; Econometrics; Environmental science; Renewable energy; Statistics; Electrical engineering; Engineering; Mathematics; Machine learning","score_opus":0.005314607531335087,"score_gpt":0.23177974944090995,"score_spread":0.22646514190957487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395675428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08824355,0.00031103508,0.902664,0.0004968604,0.00002663718,0.000055878703,0.00022709029,0.0003608005,0.0076142],"genre_scores_gemma":[0.9654641,0.0004613057,0.026903028,0.00006313108,0.000020957983,0.000091840644,0.00019355158,0.00011794439,0.006684178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995165,0.00022762067,0.00001473491,0.00010826339,0.00007213719,0.000060817485],"domain_scores_gemma":[0.9989021,0.0007672067,0.00014753398,0.000046342186,0.00011822545,0.00001862172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010896039,0.0009078489,0.00057432696,0.0005845084,0.0002738018,0.0010260904,0.0009935835,0.0010329369,0.0021119013],"category_scores_gemma":[0.0034115969,0.0005480332,0.00077320467,0.00071047095,0.00056847837,0.001108114,0.00068607205,0.001149507,0.00031125912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042615643,0.000008099146,0.00024209221,0.0000058531114,0.0000045727497,0.000013892623,0.0000066388484,0.996454,0.00015181446,0.0014475066,0.00007406315,0.0015872474],"study_design_scores_gemma":[5.017993e-7,0.0000023319742,0.000062663756,9.521688e-7,0.0000010931996,0.0000021686362,0.0000022458564,0.9995047,0.000036321027,0.0003176867,0.000068187524,0.0000011650451],"about_ca_topic_score_codex":0.016616864,"about_ca_topic_score_gemma":0.008506102,"teacher_disagreement_score":0.016616864,"about_ca_system_score_codex":0.0010943771,"about_ca_system_score_gemma":0.00083362777,"threshold_uncertainty_score":0.033040285},"labels":[],"label_agreement":null},{"id":"W4396230250","doi":"10.3390/en17092118","title":"Mean Field Game-Based Algorithms for Charging in Solar-Powered Parking Lots and Discharging into Homes a Large Population of Heterogeneous Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Solar powered; Parking lot; Electric vehicle; Population; Computer science; Algorithm; Photovoltaic system; Simulation; Automotive engineering; Engineering; Transport engineering; Electrical engineering; Solar energy; Physics; Civil engineering","score_opus":0.005682368206326174,"score_gpt":0.22386750179397366,"score_spread":0.2181851335876475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396230250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092765406,0.00017159562,0.89903307,0.0005057422,0.00006651977,0.00017652288,0.00011753544,0.00023466065,0.0069288434],"genre_scores_gemma":[0.92382467,0.000099758625,0.07143455,0.000180643,0.00002462173,0.00022950098,0.000117513904,0.000039575458,0.004049257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993001,0.00029249184,0.000024766556,0.00009606141,0.000086834436,0.00019967795],"domain_scores_gemma":[0.9976406,0.0016529632,0.0002098701,0.00006380989,0.00016362665,0.00026904585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015443396,0.0009040737,0.0013880506,0.00066855643,0.0006430905,0.0010438513,0.0020453394,0.0012528946,0.002670983],"category_scores_gemma":[0.004126699,0.00039908258,0.0006534748,0.0006941073,0.0010360858,0.0011397625,0.0014068272,0.0010908004,0.00022048924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009435099,0.0000549608,0.00055570976,0.000022677345,0.000025601303,0.0000552802,0.00007437998,0.9687057,0.00033535293,0.021452658,0.0009291793,0.0076942146],"study_design_scores_gemma":[0.000017003562,0.000021258365,0.000052922947,0.0000021115727,0.000002791902,0.00000914767,0.000018067036,0.9928489,0.000059769834,0.0067960573,0.00016838232,0.0000035188293],"about_ca_topic_score_codex":0.009405078,"about_ca_topic_score_gemma":0.008684763,"teacher_disagreement_score":0.009405078,"about_ca_system_score_codex":0.0022970517,"about_ca_system_score_gemma":0.0018454065,"threshold_uncertainty_score":0.01870066},"labels":[],"label_agreement":null},{"id":"W4396532662","doi":"10.3390/en17092149","title":"Low-Salinity Waterflooding for EOR in Field A of Western Offshore Basin: A Pilot Study Analysis with Laboratory and Simulation Studies—Early Observations","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Submarine pipeline; Enhanced oil recovery; Carbonate; Salinity; Seawater; Produced water; Environmental science; Oil field; Flooding (psychology); Oil in place; Geology; Petroleum; Oceanography; Chemistry","score_opus":0.0368764026411316,"score_gpt":0.30902180588864603,"score_spread":0.2721454032475144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396532662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786216,0.000025182257,0.0008184606,0.000043364314,0.0000042542338,0.000044466437,0.00016907285,0.000032620632,0.0010004003],"genre_scores_gemma":[0.9974366,0.000059537328,0.0018812427,0.000008485651,0.0000021096423,0.000038747698,0.00015721295,0.0000041407216,0.00041192034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998851,0.00001926078,0.000008640397,0.000027740232,0.000024407378,0.000034891807],"domain_scores_gemma":[0.99975663,0.00008963075,0.00002524523,0.000026013633,0.00005904726,0.000043420212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032839604,0.00026040286,0.00030201938,0.0002629398,0.00041029273,0.00048093242,0.0004300046,0.000439727,0.0006982484],"category_scores_gemma":[0.00042684807,0.00013296127,0.00034519922,0.0002471789,0.00034368658,0.00049807184,0.00025388756,0.00041266848,0.00012250859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015479897,0.005000382,0.25826374,0.00081575423,0.00015069637,0.0042439825,0.0011611633,0.42763266,0.20489705,0.0031034392,0.004183905,0.08899926],"study_design_scores_gemma":[0.00028223885,0.0038820843,0.124705486,0.000067686306,0.00012560468,0.0002677579,0.00255373,0.79338866,0.06972896,0.00088737,0.0039892523,0.00012120017],"about_ca_topic_score_codex":0.019232567,"about_ca_topic_score_gemma":0.027938357,"teacher_disagreement_score":0.019232567,"about_ca_system_score_codex":0.000648376,"about_ca_system_score_gemma":0.00076939556,"threshold_uncertainty_score":0.038241267},"labels":[],"label_agreement":null},{"id":"W4396560872","doi":"10.3390/en17092163","title":"Particle Swarm-Optimized Fuzzy Logic Energy Management of Hybrid Energy Storage in Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fuzzy logic; Particle swarm optimization; Energy storage; Energy management; Computer science; Particle (ecology); Energy (signal processing); Automotive engineering; Engineering; Artificial intelligence; Algorithm; Mathematics; Physics; Power (physics); Biology","score_opus":0.01203580983439339,"score_gpt":0.24256460145240377,"score_spread":0.23052879161801038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396560872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17330733,0.0008981737,0.8078686,0.00030902043,0.00016052843,0.00014499575,0.00009959046,0.0003757367,0.016836036],"genre_scores_gemma":[0.97975576,0.00012425176,0.01806761,0.000039775783,0.000010702558,0.000078778445,0.000043007425,0.000009174064,0.0018709496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986815,0.00003497984,0.000009919009,0.000023754994,0.00004191936,0.000021207303],"domain_scores_gemma":[0.9998598,0.000051492072,0.000024390287,0.0000071283957,0.00004948739,0.0000076175174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045051178,0.00058033806,0.00055770704,0.00029555388,0.00035865747,0.00080652116,0.0005540245,0.00055198174,0.0009586351],"category_scores_gemma":[0.0004432742,0.00027255085,0.0004149964,0.00022052706,0.00029735145,0.0003374099,0.00031923584,0.0004201843,0.000123074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059472142,0.00004019913,0.00045337752,0.000038872404,0.000033810058,0.00005187703,0.000026761343,0.98017293,0.0021791537,0.0012553277,0.00032553182,0.015362838],"study_design_scores_gemma":[0.0000075398057,0.00003421727,0.00012509643,0.00000283269,0.0000056999693,0.00000417134,0.000005944789,0.9990094,0.00041216108,0.00023798678,0.00015273043,0.0000021891713],"about_ca_topic_score_codex":0.008738897,"about_ca_topic_score_gemma":0.008160195,"teacher_disagreement_score":0.008738897,"about_ca_system_score_codex":0.0005408113,"about_ca_system_score_gemma":0.00056080025,"threshold_uncertainty_score":0.017376065},"labels":[],"label_agreement":null},{"id":"W4396596964","doi":"10.3390/en17092191","title":"Application of Machine Learning for Shale Oil and Gas “Sweet Spots” Prediction","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":15,"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":"Oil shale; Petroleum engineering; Maturity (psychological); Shale gas; Fossil fuel; Software deployment; Geology; Environmental science; Mining engineering; Engineering; Waste management","score_opus":0.006709199016001674,"score_gpt":0.2115869356536384,"score_spread":0.20487773663763673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396596964","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20286857,0.0029349078,0.7837473,0.001016435,0.00021767413,0.00012291857,0.00064835313,0.003597998,0.004845904],"genre_scores_gemma":[0.926221,0.0005755214,0.07144639,0.00010538454,0.00006300569,0.000063047104,0.00047352866,0.000046012014,0.0010059834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903286,0.00032529203,0.000070219976,0.00024095074,0.00022385562,0.00010679936],"domain_scores_gemma":[0.9981791,0.0011671358,0.00014053869,0.00011296123,0.00034986166,0.000050463772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018898463,0.0013453056,0.0009416564,0.002090173,0.00047951107,0.00088892266,0.0007274557,0.00097199174,0.0008415736],"category_scores_gemma":[0.0035838527,0.00033112327,0.001110204,0.0016045666,0.00033505325,0.0011567258,0.0005542627,0.0010176703,0.0003357793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000908086,0.00018145889,0.01894361,0.0001252363,0.00021512555,0.00015262542,0.000070784896,0.7364665,0.0019810358,0.0015102096,0.0017529367,0.23850963],"study_design_scores_gemma":[0.0000031105465,0.000013935305,0.0010233966,0.000006510377,0.00000993627,0.000010656219,0.000013237289,0.99712855,0.00063588365,0.00089990004,0.00024766847,0.000007216068],"about_ca_topic_score_codex":0.014520138,"about_ca_topic_score_gemma":0.007146638,"teacher_disagreement_score":0.014520138,"about_ca_system_score_codex":0.00086057215,"about_ca_system_score_gemma":0.0012629288,"threshold_uncertainty_score":0.028871238},"labels":[],"label_agreement":null},{"id":"W4396769383","doi":"10.3390/en17102287","title":"Solvent Exsolution and Liberation from Different Heavy Oil–Solvent Systems in Bulk Phases and Porous Media: A Comparison Study","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Petroleum Processing and Analysis","field":"Chemistry","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":"Petroleum Technology Research Centre; University of Regina","funders":"Mitacs; Petroleum Technology Research Centre","keywords":"Solvent; Porosity; Liberation; Porous medium; Chemical engineering; Chemistry; Materials science; Mineralogy; Petroleum engineering; Organic chemistry; Engineering","score_opus":0.018227660039369317,"score_gpt":0.2644921129868396,"score_spread":0.2462644529474703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396769383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98778707,0.00046002312,0.010650152,0.000018530092,0.000010053838,0.000025360603,0.00009417774,0.00006775455,0.00088688906],"genre_scores_gemma":[0.99322987,0.0003886108,0.005885932,0.000008918655,0.000006010157,0.000017035933,0.00010253682,0.000014440047,0.0003466904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977547,0.000014088936,0.000016438662,0.000044826244,0.00011420515,0.000034952285],"domain_scores_gemma":[0.99965477,0.00014375901,0.000058897276,0.000029460478,0.00009003942,0.000023011291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024820547,0.00031784677,0.00029557644,0.00040173487,0.00017808832,0.00025653347,0.00025903326,0.00025235798,0.00055761746],"category_scores_gemma":[0.00062349736,0.00013219441,0.0003626905,0.00028981362,0.00034199352,0.00070669106,0.00030956665,0.00032052983,0.00008258531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001615865,0.000052302552,0.002413005,0.00018539134,0.0000129216505,0.0001537237,0.000052179046,0.0034031877,0.9842907,0.00026694365,0.000029656925,0.008978363],"study_design_scores_gemma":[0.0000121764115,0.00019196098,0.002693782,0.000004963505,0.000013773596,0.00008420872,0.000046108125,0.021431396,0.9749249,0.00007168599,0.00051525264,0.000009707493],"about_ca_topic_score_codex":0.0013342116,"about_ca_topic_score_gemma":0.001048645,"teacher_disagreement_score":0.0013342116,"about_ca_system_score_codex":0.00025445997,"about_ca_system_score_gemma":0.00020513947,"threshold_uncertainty_score":0.002652824},"labels":[],"label_agreement":null},{"id":"W4396803554","doi":"10.3390/en17102295","title":"An Open-Source Supervisory Control and Data Acquisition Architecture for Photovoltaic System Monitoring Using ESP32, Banana Pi M4, and Node-RED","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Photovoltaic system; Node (physics); SCADA; Open source; Data acquisition; Architecture; Computer science; Engineering; Electrical engineering; Embedded system; Real-time computing; Operating system; Geography","score_opus":0.040791473407853863,"score_gpt":0.29822299709857114,"score_spread":0.25743152369071726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396803554","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":[0.09495204,0.00025249372,0.8557796,0.00012478288,0.00009379145,0.00033925747,0.00026482143,0.033466734,0.0147264665],"genre_scores_gemma":[0.76298904,0.00013752739,0.21907564,0.0001456196,0.00004257816,0.00034036374,0.00085439824,0.000635374,0.015779505],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996307,0.000051023806,0.000021334368,0.00010027718,0.0001639271,0.000032738462],"domain_scores_gemma":[0.9996642,0.00004154494,0.000031697877,0.000084386564,0.0001536173,0.000024573632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039691108,0.0005318335,0.0002921857,0.0004732722,0.00025007443,0.00036145633,0.0014411069,0.00036144824,0.0055985195],"category_scores_gemma":[0.0005403655,0.00026835693,0.00022547739,0.0003090055,0.00021239852,0.0006888772,0.00054504385,0.0005267313,0.0017166489],"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":[0.001210661,0.00053561456,0.007846868,0.00037631355,0.00011922659,0.0008098846,0.0006032331,0.022171795,0.3462913,0.009964658,0.01789269,0.59217775],"study_design_scores_gemma":[0.00036792483,0.0018659087,0.023918202,0.0000938275,0.0001629575,0.0017165443,0.00016998115,0.5138554,0.309659,0.005048797,0.14291103,0.00023049193],"about_ca_topic_score_codex":0.000877337,"about_ca_topic_score_gemma":0.0013130653,"teacher_disagreement_score":0.0055985195,"about_ca_system_score_codex":0.00028010894,"about_ca_system_score_gemma":0.00039686222,"threshold_uncertainty_score":0.018728912},"labels":[],"label_agreement":null},{"id":"W4396858198","doi":"10.3390/en17102318","title":"Optimizing High-Voltage Direct Current Transmission Corridors: Dynamic Thermal Line Rating for Enhanced Renewable Generation and Greenhouse Gas Emission Reductions","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Thermal Analysis in Power Transmission","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Electric System Operator","keywords":"Ampacity; Renewable energy; Greenhouse gas; Electric power transmission; Automotive engineering; Electricity generation; Environmental science; High-voltage direct current; Electricity; Grid; Engineering; Environmental economics; Voltage; Electrical engineering; Direct current; Power (physics); Electrical conductor; Economics","score_opus":0.010597670016097694,"score_gpt":0.2427071594617438,"score_spread":0.2321094894456461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396858198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3819268,0.0010742925,0.5939978,0.00030225818,0.000045096916,0.00020347106,0.00035252015,0.0012896981,0.020808173],"genre_scores_gemma":[0.9755534,0.0001808759,0.022714177,0.000010891757,0.0000053775657,0.000023863815,0.00007991803,0.00003647177,0.0013950632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962676,0.00015752645,0.000012992649,0.00004932999,0.000104354425,0.000048982896],"domain_scores_gemma":[0.99970335,0.00007265168,0.000084628344,0.000025698066,0.00008324855,0.000030354664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003893562,0.0007118111,0.00028667037,0.00054655457,0.000296455,0.000858101,0.00057135324,0.00041813706,0.0020841744],"category_scores_gemma":[0.0007350378,0.00019483728,0.00027294716,0.0007220416,0.00020584288,0.0009080232,0.000329068,0.00039156704,0.00043492333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014668288,0.0001414816,0.0038689494,0.00019951402,0.0000417666,0.00018109637,0.0001017896,0.8746433,0.037630495,0.0024497327,0.0010245484,0.079570554],"study_design_scores_gemma":[0.000051481515,0.00042162192,0.0054737856,0.000037803948,0.000058972142,0.00019846123,0.00032503763,0.9728476,0.014214341,0.0018480882,0.00448293,0.000039950868],"about_ca_topic_score_codex":0.006822378,"about_ca_topic_score_gemma":0.018256214,"teacher_disagreement_score":0.006822378,"about_ca_system_score_codex":0.0007700994,"about_ca_system_score_gemma":0.00071910385,"threshold_uncertainty_score":0.0135653615},"labels":[],"label_agreement":null},{"id":"W4396937408","doi":"10.3390/en17102373","title":"Experimental Investigation of Parameters Influencing the Formation of Dry Bands and Related Electric Field","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Insulator (electricity); Substrate (aquarium); Materials science; Composite material; Pollution; Layer (electronics)","score_opus":0.010372730863665853,"score_gpt":0.23030705931825887,"score_spread":0.21993432845459301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396937408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930621,0.00013334949,0.005782142,0.000017351982,0.00001727568,0.00005808637,0.00014888358,0.000054215456,0.00072652154],"genre_scores_gemma":[0.99205095,0.00022920183,0.006782751,0.000019945966,0.000011412245,0.000091007045,0.00014906967,0.00002584545,0.0006399632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995846,0.000047924783,0.000032161952,0.000120160796,0.00013079104,0.00008428703],"domain_scores_gemma":[0.99910104,0.00042008213,0.00015529401,0.00013215654,0.00015660637,0.00003482962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046045313,0.00048691494,0.00032144238,0.00023361536,0.00033495872,0.00026469523,0.00040749603,0.00048256607,0.0013146062],"category_scores_gemma":[0.0009260675,0.0002662318,0.0001942252,0.0002977554,0.0004415458,0.00035371128,0.00042461048,0.00040425558,0.00021132668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011481581,0.00007292077,0.00055806414,0.000077122146,0.0000046590912,0.000059584803,0.00008088678,0.0002925905,0.99734986,0.000057033365,0.000026504673,0.0013059065],"study_design_scores_gemma":[0.000015477635,0.000646992,0.0027534985,0.0000034996322,0.000011155268,0.000047655514,0.000057817302,0.0011087147,0.9948295,0.000028965267,0.0004889456,0.000007784299],"about_ca_topic_score_codex":0.00026647712,"about_ca_topic_score_gemma":0.0003518731,"teacher_disagreement_score":0.0013146062,"about_ca_system_score_codex":0.0001957902,"about_ca_system_score_gemma":0.00013557494,"threshold_uncertainty_score":0.0043978095},"labels":[],"label_agreement":null},{"id":"W4398141490","doi":"10.3390/en17102426","title":"An Efficient Shunt Modulated AC Green Plug–Switched Filter Compensation Scheme for Nonlinear Loads","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Power factor; Inrush current; Harmonics; Control theory (sociology); AC power; Engineering; Total harmonic distortion; Electronic engineering; Computer science; Voltage; Electrical engineering; Transformer","score_opus":0.00812464151786989,"score_gpt":0.22005553709114548,"score_spread":0.21193089557327557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398141490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29991207,0.0004500292,0.6861901,0.00017570987,0.0001062506,0.00009500774,0.00009281467,0.0010867991,0.011891148],"genre_scores_gemma":[0.9825699,0.00006074776,0.01581725,0.000023551554,0.00000946784,0.000012829058,0.000023360075,0.000007710862,0.001475149],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995553,0.000006111435,0.000002658252,0.000008461921,0.000021944454,0.000005393122],"domain_scores_gemma":[0.9999548,0.000007608599,0.000012917335,0.00000545832,0.00001569061,0.00000355139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006442703,0.00023685125,0.00014711649,0.00020521303,0.00017726632,0.00021750067,0.0003839773,0.00021536401,0.0012854977],"category_scores_gemma":[0.00010797149,0.00005393995,0.00012680353,0.00020511777,0.0001400696,0.0002847717,0.00011430678,0.00019722282,0.00013709725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076663255,0.00019382231,0.001228163,0.00034408635,0.000059455255,0.00035271098,0.00017416773,0.074931405,0.46798402,0.012326787,0.0025782369,0.43906042],"study_design_scores_gemma":[0.00009181505,0.00074957625,0.0021213086,0.000026057985,0.000060994193,0.0004248966,0.000045491943,0.80636066,0.1772091,0.0033052503,0.009575289,0.000029500716],"about_ca_topic_score_codex":0.0010306274,"about_ca_topic_score_gemma":0.0021039434,"teacher_disagreement_score":0.0012854977,"about_ca_system_score_codex":0.0002149445,"about_ca_system_score_gemma":0.00017034975,"threshold_uncertainty_score":0.0043004155},"labels":[],"label_agreement":null},{"id":"W4398204114","doi":"10.3390/en17112485","title":"Impact of Wave Energy Converters and Port Layout on Coastal Dynamics: Case Study of Astara Port","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Port (circuit theory); Wave height; Renewable energy; Wave energy converter; Context (archaeology); Marine engineering; Sustainability; Storm; Environmental science; Engineering; Energy (signal processing); Meteorology; Geology; Oceanography; Geography; Mechanical engineering; Electrical engineering","score_opus":0.010670042836425066,"score_gpt":0.2288439516247783,"score_spread":0.21817390878835324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398204114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98648953,0.00015382971,0.0034052194,0.00019207929,0.000039983177,0.000073741176,0.0005732449,0.00012790029,0.008944464],"genre_scores_gemma":[0.99316096,0.00013068567,0.0033043616,0.000021328742,0.0000041653193,0.000030095622,0.00026183898,0.000018435108,0.003068177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996159,0.00012304056,0.00001631778,0.000046612167,0.00009705688,0.00010113776],"domain_scores_gemma":[0.99914265,0.000478858,0.00007107585,0.00007355098,0.00012979789,0.00010399826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049769616,0.0010765725,0.00040770834,0.0006861688,0.0010064379,0.0011472311,0.0010085069,0.0012777993,0.0046309046],"category_scores_gemma":[0.0010089792,0.0002822027,0.00072858384,0.00092537294,0.00076698273,0.0009217295,0.00069260213,0.0008387779,0.00039682383],"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":[0.0006598538,0.00066339294,0.031706,0.0003407965,0.00010187843,0.010375069,0.00046959193,0.9123534,0.01256196,0.0032117362,0.0037286398,0.023827603],"study_design_scores_gemma":[0.00022473132,0.0018484758,0.036253177,0.00011586085,0.00026790882,0.0020719387,0.0073619764,0.91335714,0.024671702,0.0032130226,0.010470587,0.00014347734],"about_ca_topic_score_codex":0.01826902,"about_ca_topic_score_gemma":0.034544103,"teacher_disagreement_score":0.01826902,"about_ca_system_score_codex":0.0011884408,"about_ca_system_score_gemma":0.0007740002,"threshold_uncertainty_score":0.036325395},"labels":[],"label_agreement":null},{"id":"W4398206812","doi":"10.3390/en17112480","title":"Modular Dynamic Phasor Modeling and Simulation of Renewable Integrated Power Systems","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"","keywords":"Interfacing; Modular design; Computer science; Phasor; Electric power system; Graphics processing unit; Power system simulation; Graphics; Power (physics); Embedded system; Computer hardware; Parallel computing","score_opus":0.0070551541719283935,"score_gpt":0.22243280929742162,"score_spread":0.21537765512549323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398206812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023979407,0.000089703804,0.9683381,0.000053118252,0.000028622155,0.00003276143,0.00020009393,0.00095130585,0.0063269963],"genre_scores_gemma":[0.8619827,0.000340261,0.13114697,0.000035329907,0.000046682824,0.00018836212,0.00043037723,0.00023969503,0.0055896197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987316,0.000037143956,0.0000057757247,0.00002072697,0.000051425384,0.000011858841],"domain_scores_gemma":[0.9998809,0.0000409085,0.00001846951,0.000026005975,0.000023784063,0.000009882953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017877652,0.0005839919,0.0005121478,0.0003335073,0.00023411975,0.00057616044,0.0007712998,0.00047980715,0.0025859629],"category_scores_gemma":[0.00051822123,0.00029452774,0.00053774565,0.00044229225,0.00021699855,0.0006727063,0.00043954808,0.0005594301,0.00060978363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000093286,0.00000891742,0.00016585816,0.000015170012,0.0000107035685,0.000028105076,0.0000148956215,0.98928857,0.0013874974,0.0029677069,0.00017512351,0.0059281583],"study_design_scores_gemma":[0.000001717643,0.000005938329,0.00004952486,0.0000013402275,0.0000018062858,0.0000069448015,0.0000020095038,0.99851686,0.0002446743,0.00076292205,0.0004049407,0.0000012559489],"about_ca_topic_score_codex":0.003133644,"about_ca_topic_score_gemma":0.0029299578,"teacher_disagreement_score":0.003133644,"about_ca_system_score_codex":0.00029227955,"about_ca_system_score_gemma":0.00042236852,"threshold_uncertainty_score":0.008650959},"labels":[],"label_agreement":null},{"id":"W4398208522","doi":"10.3390/en17112460","title":"Modeling and Control of Ejector-Based Hydrogen Circulation System for Proton Exchange Membrane Fuel Cell Systems","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China","keywords":"Proton exchange membrane fuel cell; Injector; Controller (irrigation); Stack (abstract data type); Common rail; Anode; Control theory (sociology); Engineering; Nuclear engineering; Computer science; Automotive engineering; Fuel cells; Chemistry; Mechanical engineering; Control (management); Chemical engineering","score_opus":0.010718903793607603,"score_gpt":0.2012586899109283,"score_spread":0.1905397861173207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398208522","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08157828,0.0008947205,0.8907596,0.0003318414,0.00015425915,0.00014954363,0.00029760445,0.00088261114,0.024951573],"genre_scores_gemma":[0.9823971,0.00048661837,0.010530995,0.000044823,0.000028945948,0.00020180614,0.00013994216,0.000033173434,0.0061366824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997446,0.00004654833,0.0000145441345,0.00007469025,0.000083516956,0.00003609698],"domain_scores_gemma":[0.999858,0.00004141449,0.000033939315,0.000008150005,0.000051606727,0.000006833576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033549,0.00085740787,0.0008161736,0.000334869,0.00062261045,0.0012959545,0.000910304,0.0009192996,0.0019816803],"category_scores_gemma":[0.0003668684,0.0004184473,0.0007057455,0.00024115921,0.00047814913,0.00070498086,0.0006198514,0.00075029465,0.0003993136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059165908,0.00003192766,0.00046641717,0.00008772595,0.00002498235,0.00009848706,0.00007950345,0.97956526,0.008013924,0.0023996073,0.00040496292,0.008767953],"study_design_scores_gemma":[0.0000057392726,0.000023713583,0.00016240396,0.0000031357008,0.000005418248,0.000007573767,0.000005603244,0.99874216,0.0005016476,0.00015850426,0.0003802044,0.0000038829194],"about_ca_topic_score_codex":0.014325714,"about_ca_topic_score_gemma":0.006743252,"teacher_disagreement_score":0.014325714,"about_ca_system_score_codex":0.00074787077,"about_ca_system_score_gemma":0.0008691492,"threshold_uncertainty_score":0.028484643},"labels":[],"label_agreement":null},{"id":"W4398256118","doi":"10.3390/en17112525","title":"Analysis of the Combined Effect of Major Influencing Parameters for Designing High-Performance Single (sBHE) and Double (dBHE) U-Tube Borehole Heat Exchangers","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Borehole; Grout; Thermal conductivity; Heat exchanger; Heat transfer; Geotechnical engineering; Geology; Tube (container); Materials science; Mechanics; Composite material; Thermodynamics; Physics","score_opus":0.0121429475272321,"score_gpt":0.22814258775403481,"score_spread":0.2159996402268027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398256118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86221695,0.0006288001,0.1344271,0.00006462091,0.00003000009,0.00005247965,0.00006486474,0.00022985168,0.002285338],"genre_scores_gemma":[0.9913366,0.0000932218,0.008333405,0.0000051242123,0.000003337239,0.000010852034,0.000018657522,0.0000136198105,0.000185259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995771,0.0001077093,0.000018324527,0.000055395318,0.00018102382,0.00006046919],"domain_scores_gemma":[0.9988966,0.0006330028,0.00020870076,0.00007157769,0.00016327114,0.000026783693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061755074,0.0005272972,0.00044877693,0.00031198282,0.0002166936,0.0006104155,0.0003818117,0.0004893498,0.00061811606],"category_scores_gemma":[0.0016252279,0.00030848713,0.0003625828,0.00027900975,0.0002872153,0.00085516006,0.00036710437,0.0003065799,0.000115041046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042887774,0.00015661602,0.013411388,0.00071222987,0.00011953654,0.00031087376,0.000101908976,0.4923544,0.43820328,0.0011430501,0.00028098005,0.052776944],"study_design_scores_gemma":[0.0000307084,0.0008003228,0.015011195,0.000022737233,0.00015628661,0.00020271062,0.00016667272,0.7066002,0.2751533,0.00040422927,0.0013995105,0.000052073105],"about_ca_topic_score_codex":0.000574052,"about_ca_topic_score_gemma":0.0016214633,"teacher_disagreement_score":0.00061811606,"about_ca_system_score_codex":0.0002788587,"about_ca_system_score_gemma":0.00035166065,"threshold_uncertainty_score":0.003265977},"labels":[],"label_agreement":null},{"id":"W4398781574","doi":"10.3390/en17112538","title":"Multi-Terminal GaInP/GaInAs/Ge Solar Cells for Subcells Characterization","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"solar cell performance 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":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique; Institut National des Sciences Appliquées de Lyon; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Indian National Science Academy","keywords":"Fabrication; Optoelectronics; Materials science; Solar cell; Wafer; Characterization (materials science); Triple junction; Diode; Electroluminescence; Absorption (acoustics); Nanotechnology; Layer (electronics); Composite material","score_opus":0.010410583438855554,"score_gpt":0.21678685836054362,"score_spread":0.20637627492168806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398781574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97998834,0.00041128692,0.017039096,0.000030520485,0.000011186763,0.00002637547,0.00040165873,0.00010855655,0.0019830035],"genre_scores_gemma":[0.98746896,0.00014236252,0.011515206,0.000013710895,0.0000028723784,0.000029939634,0.00014422952,0.000016286469,0.00066636415],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998771,0.000008145063,0.000004681743,0.000035002275,0.000061387625,0.000013729826],"domain_scores_gemma":[0.99991095,0.00002269371,0.00001178162,0.000018184217,0.000030928088,0.0000055472533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013539278,0.00022697278,0.00022616918,0.0002658341,0.00023665038,0.00032178545,0.0002711443,0.00025243932,0.00090186344],"category_scores_gemma":[0.00012233686,0.00011126897,0.00016012325,0.00027394647,0.00013116731,0.00025747684,0.00020227674,0.00026974725,0.00024138785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014999109,0.000007664683,0.0006741092,0.00001756268,0.0000033552094,0.000031945136,0.000024299148,0.0004918293,0.99693906,0.00012889,0.000030764437,0.0016355152],"study_design_scores_gemma":[0.0000013097582,0.00004888099,0.005451324,0.0000028596403,0.000008381154,0.00007830477,0.000039855873,0.010144162,0.9834199,0.00006947297,0.0007303406,0.0000052876417],"about_ca_topic_score_codex":0.0008449773,"about_ca_topic_score_gemma":0.0027812887,"teacher_disagreement_score":0.00090186344,"about_ca_system_score_codex":0.00022511781,"about_ca_system_score_gemma":0.00011988517,"threshold_uncertainty_score":0.003017068},"labels":[],"label_agreement":null},{"id":"W4399044499","doi":"10.3390/en17112573","title":"A Framework to Assess and Analyze Enhancement Options for Microgrid Resiliency against Extreme Wind","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Risk analysis (engineering); Reliability (semiconductor); Resilience (materials science); Safeguarding; Incentive; Reliability engineering; Electric power system; Extreme weather; Environmental economics; Microgrid; Scale (ratio); Environmental resource management; Wind power; Computer science; Business; Engineering; Climate change; Power (physics); Environmental science; Control (management); Economics","score_opus":0.023626248039382063,"score_gpt":0.2836148898453754,"score_spread":0.25998864180599335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399044499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003629684,0.00043113102,0.9824802,0.00068141724,0.00005077521,0.00022587097,0.00023812064,0.00030493323,0.011957853],"genre_scores_gemma":[0.26898935,0.0014791355,0.72070515,0.00017834287,0.00012388677,0.0009336766,0.0004778833,0.00012859234,0.0069840737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990834,0.0003648315,0.000066903674,0.00013813908,0.00023421731,0.0001123803],"domain_scores_gemma":[0.99919456,0.0003203306,0.0001263558,0.000078795914,0.00019903063,0.000080851656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029195913,0.0016978807,0.0007637503,0.002607428,0.0008628705,0.00325255,0.002471271,0.0014564826,0.0037900857],"category_scores_gemma":[0.002463825,0.00046881064,0.0017094178,0.0011448315,0.0015783942,0.0025577547,0.0024951454,0.0016256828,0.00064840657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017080489,0.00007559919,0.0007066263,0.00013189184,0.00006123773,0.00015579817,0.0001573382,0.5595918,0.0010512698,0.41179824,0.0022653819,0.023987707],"study_design_scores_gemma":[0.000013681263,0.00008441859,0.00032850506,0.00015088198,0.00003298419,0.00008147776,0.00018292938,0.81865263,0.00047126575,0.16613615,0.013829584,0.000035509045],"about_ca_topic_score_codex":0.010571317,"about_ca_topic_score_gemma":0.010299504,"teacher_disagreement_score":0.010571317,"about_ca_system_score_codex":0.0023893656,"about_ca_system_score_gemma":0.003448176,"threshold_uncertainty_score":0.021019578},"labels":[],"label_agreement":null},{"id":"W4399044588","doi":"10.3390/en17112562","title":"Harvesting Electric Energy Using Thermoelectric Generators in a Residential Heating Application","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","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":"Simon Fraser University","funders":"Mitacs","keywords":"Thermoelectric effect; Thermoelectric generator; Electric energy; Environmental science; Energy (signal processing); Electrical engineering; Engineering physics; Materials science; Engineering; Physics; Power (physics); Thermodynamics","score_opus":0.010298190854417548,"score_gpt":0.2580466342482788,"score_spread":0.24774844339386123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399044588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396415,0.00017742711,0.013011168,0.00010575194,0.000019504765,0.000027544718,0.000057572823,0.00011379043,0.0025231647],"genre_scores_gemma":[0.99117905,0.00014442611,0.0070597217,0.000012610573,0.000004706393,0.000011143969,0.000023671924,0.00000841552,0.0015561358],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994314,0.000011920882,0.0000027798928,0.000012534924,0.000017388287,0.000012254799],"domain_scores_gemma":[0.9999559,0.000012120061,0.0000053473946,0.000007782277,0.000013097914,0.0000057098005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010829185,0.00014351473,0.00019921827,0.00016649188,0.00025774827,0.00022452467,0.00025507403,0.00020969087,0.0012974599],"category_scores_gemma":[0.00009328949,0.00008982493,0.0001536245,0.00034411278,0.00014430031,0.0002910913,0.00015873153,0.00016367667,0.00034165705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031658783,0.00015047354,0.0033727032,0.0001508356,0.000009784868,0.0004307607,0.00012502958,0.0041322177,0.9547021,0.000543228,0.00037278378,0.03569344],"study_design_scores_gemma":[0.000028006758,0.00082625105,0.008773344,0.000009720781,0.000030646443,0.00038065095,0.00031031936,0.019097645,0.96547025,0.0002889346,0.004770298,0.0000139830345],"about_ca_topic_score_codex":0.00027257268,"about_ca_topic_score_gemma":0.0010034962,"teacher_disagreement_score":0.0012974599,"about_ca_system_score_codex":0.00014129786,"about_ca_system_score_gemma":0.00013268327,"threshold_uncertainty_score":0.00434047},"labels":[],"label_agreement":null},{"id":"W4399292696","doi":"10.3390/en17112705","title":"Self-Scheduling Virtual Power Plant for Peak Management","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power management; Virtual power plant; Computer science; Environmental science; Power (physics); Electrical engineering; Engineering; Renewable energy; Physics; Distributed generation","score_opus":0.005192502602889111,"score_gpt":0.19121935819470312,"score_spread":0.186026855591814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399292696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053173266,0.00009603107,0.94136244,0.00006248832,0.00003484984,0.00005485286,0.0000516195,0.00058822235,0.004576249],"genre_scores_gemma":[0.9634188,0.000030965242,0.03554594,0.000014975542,0.000009517219,0.000026489211,0.000039667822,0.000030111742,0.00088352425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980384,0.00005955622,0.000006762658,0.000045862085,0.000052117248,0.000031877844],"domain_scores_gemma":[0.99977595,0.000078938516,0.000037950536,0.00004043699,0.000040490784,0.000026323543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003495767,0.00030350537,0.00037912064,0.00021241352,0.00029709216,0.0005512615,0.00068244204,0.00024957233,0.0020329065],"category_scores_gemma":[0.0005373514,0.00015682318,0.00023375617,0.00023194325,0.00028004698,0.0005218653,0.00046108037,0.00041668056,0.00022332798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009728066,0.00006509158,0.00063821854,0.000045672645,0.000020340034,0.000059718182,0.000043863933,0.9253199,0.009736206,0.010915682,0.0010707774,0.051987194],"study_design_scores_gemma":[0.0000042005636,0.000031290438,0.000115697425,0.0000015283205,0.000002948557,0.00001472049,0.000008408874,0.99545103,0.0014967035,0.002270679,0.0005997426,0.0000030338824],"about_ca_topic_score_codex":0.0011778157,"about_ca_topic_score_gemma":0.0021519656,"teacher_disagreement_score":0.0020329065,"about_ca_system_score_codex":0.00038961964,"about_ca_system_score_gemma":0.00074346445,"threshold_uncertainty_score":0.0068007708},"labels":[],"label_agreement":null},{"id":"W4399494398","doi":"10.3390/en17122828","title":"Skin and Proximity Effect Calculation of a System of Rectangular Conductors Using the Proper Generalized Decomposition Technique","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Electrical conductor; Skin effect; Busbar; Transformer; Finite difference method; Applied mathematics; Computer science; Mathematics; Mathematical analysis; Engineering; Structural engineering; Electrical engineering; Voltage","score_opus":0.010327056069374839,"score_gpt":0.2841275315939636,"score_spread":0.27380047552458875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399494398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03125045,0.00016222037,0.96504694,0.000035755766,0.00002318145,0.00001849574,0.000020655994,0.00022332017,0.0032189263],"genre_scores_gemma":[0.623628,0.00039092332,0.37324697,0.00004058763,0.000018108842,0.00005002692,0.00006513972,0.0001256908,0.0024345405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998783,0.00004314372,0.000005702311,0.00001879622,0.000043258136,0.000010715853],"domain_scores_gemma":[0.99979085,0.000098876204,0.000024898814,0.00003843502,0.00003793095,0.000009020385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027106414,0.00034407983,0.0003578033,0.00034469442,0.00017330586,0.00032497884,0.00031070647,0.0003509881,0.0012834473],"category_scores_gemma":[0.00070046476,0.00021673822,0.00045906473,0.00025579514,0.00038127045,0.00055626384,0.0003515187,0.0002525609,0.0002797121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008645691,0.000032833876,0.002050209,0.00043009565,0.00005648443,0.0005873261,0.00041622185,0.75497365,0.09707641,0.052439544,0.0012993079,0.09055147],"study_design_scores_gemma":[0.000005108395,0.000037231322,0.00030438497,0.000011228713,0.00000973173,0.00014878716,0.00003053748,0.987229,0.006899057,0.0026950354,0.002623327,0.000006552262],"about_ca_topic_score_codex":0.00054383057,"about_ca_topic_score_gemma":0.0005564492,"teacher_disagreement_score":0.0012834473,"about_ca_system_score_codex":0.00016319107,"about_ca_system_score_gemma":0.0002594517,"threshold_uncertainty_score":0.0042935014},"labels":[],"label_agreement":null},{"id":"W4399533235","doi":"10.3390/en17122869","title":"Energy Efficiency Trends in Petroleum Extraction: A Bibliometric Study","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":6,"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":"Bibliometrics; Sustainability; Descriptive statistics; Thematic analysis; Energy consumption; Computer science; Data science; Engineering; Sociology; Library science; Social science; Qualitative research; Mathematics","score_opus":0.021034936159610516,"score_gpt":0.33071739661597077,"score_spread":0.3096824604563603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399533235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8021401,0.055919386,0.0045920694,0.0041495585,0.00023965706,0.00069082214,0.07675954,0.0003750512,0.05513373],"genre_scores_gemma":[0.92118084,0.038911268,0.0048952377,0.00023537691,0.00040277248,0.000515258,0.031548645,0.000071239214,0.0022394427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98821044,0.0019580293,0.002749451,0.00085692736,0.005645291,0.0005799172],"domain_scores_gemma":[0.952192,0.026820756,0.008394022,0.0013258725,0.010584537,0.0006826608],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007272724,0.00044353542,0.0012154342,0.15043399,0.0010347033,0.0044875513,0.0006560039,0.00060481485,0.0027844952],"category_scores_gemma":[0.043518033,0.00024661794,0.0012223638,0.2564628,0.0006488245,0.0038459129,0.0019456937,0.00040290577,0.00071671064],"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":[0.00030700205,0.0002402995,0.5617449,0.018999588,0.001849102,0.0009984588,0.0059623686,0.002889605,0.0022478302,0.007961377,0.022991853,0.37380755],"study_design_scores_gemma":[0.000039141352,0.00017782788,0.8550539,0.004478617,0.0017671572,0.0016671643,0.011485018,0.006516244,0.0022238812,0.0038255944,0.11264987,0.000115566916],"about_ca_topic_score_codex":0.008563135,"about_ca_topic_score_gemma":0.009293977,"teacher_disagreement_score":0.849566,"about_ca_system_score_codex":0.0025387628,"about_ca_system_score_gemma":0.004769013,"threshold_uncertainty_score":0.03846228},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4399607868","doi":"10.3390/en17122896","title":"An Enhanced Ageing Model for Solid-State Batteries","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fade; Automotive industry; Battery (electricity); Automotive engineering; Void (composites); Computer science; Engineering; Materials science; Power (physics)","score_opus":0.018429728591901413,"score_gpt":0.30579982150642204,"score_spread":0.28737009291452065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399607868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09092412,0.004404158,0.8675396,0.0007537173,0.00066907477,0.00026470333,0.00080703513,0.0006920101,0.033945546],"genre_scores_gemma":[0.9466255,0.0026984657,0.023305686,0.00024235292,0.00015759202,0.00027235117,0.0005836288,0.00014391373,0.025970522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974805,0.000046631314,0.000020139387,0.00003725904,0.000118206575,0.000029642928],"domain_scores_gemma":[0.9995646,0.00014044081,0.000050414634,0.000042121275,0.00018295129,0.000019539219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055276864,0.00064826576,0.00068073306,0.00055018615,0.0002984762,0.0005792417,0.0013879217,0.0010945705,0.0018786275],"category_scores_gemma":[0.0016599629,0.00022114824,0.0008780584,0.00037640816,0.00050129276,0.0013494169,0.0006342696,0.0008191902,0.0008342428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060279017,0.000032253804,0.0006764689,0.00015073542,0.000015121048,0.00022448976,0.00013829042,0.9580433,0.012051188,0.016755322,0.000986501,0.010866104],"study_design_scores_gemma":[0.000003336884,0.000017302953,0.00009039189,0.0000065390677,0.0000049385467,0.00003528614,0.0000061803876,0.99628156,0.0007693294,0.0016180476,0.0011622472,0.000004719239],"about_ca_topic_score_codex":0.003365312,"about_ca_topic_score_gemma":0.0018402982,"teacher_disagreement_score":0.003365312,"about_ca_system_score_codex":0.0006169819,"about_ca_system_score_gemma":0.0005119745,"threshold_uncertainty_score":0.006691456},"labels":[],"label_agreement":null},{"id":"W4399627525","doi":"10.3390/en17122917","title":"An Accurate Parameter Estimation Method of the Voltage Model for Proton Exchange Membrane Fuel Cells","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada)","funders":"Fundamental Research Funds for the Central Universities; Harbin Institute of Technology; National Natural Science Foundation of China","keywords":"Proton exchange membrane fuel cell; Particle swarm optimization; Convergence (economics); Voltage; Algorithm; Swarm behaviour; Differential evolution; Computer science; Estimation theory; Mathematical optimization; Set (abstract data type); Control theory (sociology); Fuel cells; Engineering; Mathematics; Artificial intelligence; Chemical engineering","score_opus":0.017504536518186817,"score_gpt":0.2694729358606152,"score_spread":0.2519683993424284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399627525","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006733281,0.0002061985,0.9914369,0.00006281051,0.000023249842,0.000019562018,0.000056529,0.0003216025,0.0011398325],"genre_scores_gemma":[0.77326566,0.0007908457,0.22199711,0.00007391024,0.000042698644,0.00027953056,0.0005603958,0.00014022047,0.002849582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972004,0.000063655534,0.000021220892,0.000064804706,0.000113353126,0.00001689476],"domain_scores_gemma":[0.9998462,0.00004322256,0.000028758128,0.000025039262,0.00005282715,0.00000400546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037890382,0.0008213354,0.0005318431,0.00035888594,0.0003819216,0.00056669826,0.0006423741,0.00066358096,0.0008722836],"category_scores_gemma":[0.0011181377,0.00034889035,0.0006507356,0.0003588844,0.00026558887,0.0010549126,0.00043714247,0.000989872,0.00041532743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030577834,0.00002081595,0.00083244033,0.00011135607,0.000029978286,0.000044005967,0.000059667345,0.8668684,0.018272167,0.0051289513,0.00088867755,0.10771297],"study_design_scores_gemma":[0.0000023310802,0.000010258466,0.00023026748,0.0000047025837,0.0000046549744,0.000011517514,0.000006285663,0.9944484,0.0033533785,0.00075875525,0.0011619694,0.00000749181],"about_ca_topic_score_codex":0.0070775175,"about_ca_topic_score_gemma":0.003869047,"teacher_disagreement_score":0.0070775175,"about_ca_system_score_codex":0.00042899535,"about_ca_system_score_gemma":0.0007927321,"threshold_uncertainty_score":0.014072657},"labels":[],"label_agreement":null},{"id":"W4399670175","doi":"10.3390/en17122940","title":"A Review of Control Techniques for Inverter-Based Distributed Energy Resources Applications","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Voltage droop; Distributed generation; Inverter; Low voltage ride through; Grid; Computer science; Renewable energy; Engineering; Electrical engineering; AC power; Voltage; Voltage source","score_opus":0.01070911323868109,"score_gpt":0.2566985443629245,"score_spread":0.2459894311242434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399670175","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":[0.00056134263,0.9823538,0.009096479,0.000265563,0.00059949566,0.00003851798,0.00009326761,0.0000759356,0.006915598],"genre_scores_gemma":[0.0047969427,0.9844243,0.006276638,0.00026138095,0.00036599138,0.00004288327,0.00017269273,0.00001716906,0.0036419858],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997002,0.000029514404,0.00005047502,0.0000657756,0.00013551039,0.000018480443],"domain_scores_gemma":[0.9995752,0.00019479265,0.00005648525,0.000021137836,0.00013812353,0.000014328639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042372115,0.0010529216,0.0010004191,0.001971145,0.00031042783,0.001001146,0.0010388107,0.0010439164,0.0065990714],"category_scores_gemma":[0.00082209765,0.0004535468,0.0006843376,0.0023598906,0.00032027875,0.0015468996,0.00055745884,0.0012370729,0.0033057185],"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":[0.000047682457,0.000076481956,0.00010074844,0.017723707,0.000063560336,0.00014550715,0.000054907563,0.0017265731,0.0051879976,0.006265787,0.012992512,0.9556145],"study_design_scores_gemma":[0.000011488347,0.00020991305,0.0006242128,0.0046665836,0.00013853317,0.0009313668,0.000053339816,0.0014426177,0.0023424618,0.0032563342,0.9862751,0.000048081274],"about_ca_topic_score_codex":0.0008980514,"about_ca_topic_score_gemma":0.00092332886,"teacher_disagreement_score":0.0065990714,"about_ca_system_score_codex":0.00035040718,"about_ca_system_score_gemma":0.00075441465,"threshold_uncertainty_score":0.02207607},"labels":[],"label_agreement":null},{"id":"W4399852889","doi":"10.3390/en17123041","title":"Innovative Multigeneration System with Heat Exchangers for Harnessing Thermal Energy from Cement Kiln Exhaust Gases","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Université du Québec à Rimouski","funders":"","keywords":"Heat exchanger; Exergy; Waste heat; Evaporator; Waste management; Absorption refrigerator; Coefficient of performance; Exergy efficiency; Heat pump and refrigeration cycle; Thermal energy; Refrigeration; Environmental science; Process engineering; Engineering; Heat pump; Mechanical engineering; Thermodynamics","score_opus":0.009963279161661502,"score_gpt":0.21241582526737993,"score_spread":0.20245254610571842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399852889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.618916,0.0019177317,0.3604779,0.000216452,0.00016182328,0.00020183146,0.00030864682,0.0022586081,0.015541103],"genre_scores_gemma":[0.978149,0.00020053722,0.019131893,0.000011264905,0.000007991854,0.000048572052,0.00007462015,0.000019389014,0.0023566925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999157,0.000015369897,0.00000396742,0.000018954182,0.000032432363,0.000013546641],"domain_scores_gemma":[0.99997175,0.000006033746,0.000005478997,0.000004764909,0.000007093169,0.0000047965086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014051294,0.0003899468,0.0003601788,0.000268103,0.00038768636,0.00038661825,0.0006326667,0.00025223315,0.0016262013],"category_scores_gemma":[0.00008475113,0.00017360803,0.00034713114,0.00025349765,0.00016908783,0.0004808423,0.00034258596,0.0002649798,0.0002543673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005454531,0.0003243051,0.006332462,0.0005196713,0.000110349036,0.000564121,0.00015542856,0.603532,0.23655035,0.006524289,0.0023611085,0.14248046],"study_design_scores_gemma":[0.000071536546,0.00035006175,0.0026133151,0.0000127173225,0.00004949085,0.00015300023,0.00002233942,0.9342583,0.05310036,0.000723778,0.008615161,0.000029970292],"about_ca_topic_score_codex":0.0012969774,"about_ca_topic_score_gemma":0.0018600993,"teacher_disagreement_score":0.0016262013,"about_ca_system_score_codex":0.00038632905,"about_ca_system_score_gemma":0.00041979755,"threshold_uncertainty_score":0.0054401755},"labels":[],"label_agreement":null},{"id":"W4399852913","doi":"10.3390/en17123042","title":"Optimization of Flywheel Rotor Energy and Stability Using Finite Element Modelling","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","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":"Flywheel; Finite element method; Rotor (electric); Stability (learning theory); Structural engineering; Mechanical engineering; Engineering; Computer science; Control theory (sociology)","score_opus":0.01693020474310396,"score_gpt":0.20605906369029603,"score_spread":0.18912885894719206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399852913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56689644,0.00068193616,0.4063632,0.00026568427,0.00006949721,0.00026943564,0.000667892,0.0008688357,0.023917112],"genre_scores_gemma":[0.9091144,0.00024398563,0.08530246,0.000023185894,0.0000047403505,0.00035236054,0.000307623,0.00014904914,0.004502144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998228,0.00003109713,0.000009778691,0.000023798788,0.0000807907,0.000031743355],"domain_scores_gemma":[0.9997243,0.00014648218,0.000030780677,0.000027012908,0.000060045117,0.0000113377555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041817254,0.0006571994,0.0006502173,0.00053726154,0.00039766057,0.0009066534,0.0006806111,0.0011531514,0.0025151],"category_scores_gemma":[0.0008688606,0.0004267736,0.00068686035,0.00035285717,0.00036135796,0.0004464275,0.00037829226,0.0004166305,0.00056824624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039141654,0.0000313907,0.00043928035,0.00009203954,0.000011895515,0.000051211842,0.000046419005,0.97681993,0.014725541,0.0010587055,0.00013470615,0.0065498445],"study_design_scores_gemma":[0.000008602498,0.000046753335,0.0002959612,0.000015072061,0.0000072165453,0.000013725506,0.000030964755,0.9923505,0.005703243,0.00029941247,0.0012197989,0.000008734369],"about_ca_topic_score_codex":0.002601809,"about_ca_topic_score_gemma":0.003002728,"teacher_disagreement_score":0.002601809,"about_ca_system_score_codex":0.0005699918,"about_ca_system_score_gemma":0.00075261516,"threshold_uncertainty_score":0.008413851},"labels":[],"label_agreement":null},{"id":"W4399861491","doi":"10.3390/en17123036","title":"On the Necessity of Including the Dissociation Kinetics When Modelling Gas Hydrate Pipeline Plug Dissociation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dissociation (chemistry); Clathrate hydrate; Kinetics; Hydrate; Pipeline (software); Spark plug; Thermodynamics; Chemistry; Petroleum engineering; Materials science; Physical chemistry; Engineering; Physics; Mechanical engineering; Organic chemistry","score_opus":0.021255579210345182,"score_gpt":0.23322331915426922,"score_spread":0.21196773994392404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399861491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23732544,0.0026026776,0.73662096,0.0023543434,0.00046807397,0.00050827465,0.0011898279,0.0011424652,0.017787913],"genre_scores_gemma":[0.91317755,0.0021925978,0.07699894,0.0005301036,0.00013086252,0.0004398745,0.0007420522,0.00032260758,0.0054653394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992281,0.00022123326,0.00006838816,0.00012921503,0.00025543664,0.00009770177],"domain_scores_gemma":[0.9963785,0.0026492272,0.00021713789,0.00032078876,0.0003630601,0.000071337905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030498265,0.0014817232,0.0012810262,0.00067760743,0.0005966622,0.0018746778,0.0016948227,0.002408073,0.001144686],"category_scores_gemma":[0.00775685,0.0007625482,0.0021025655,0.00054327596,0.0012750687,0.002939641,0.0013790552,0.0034981088,0.0004761901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021373718,0.000049931485,0.00083045993,0.000080271886,0.000015210709,0.00006099022,0.000043622305,0.98802817,0.004528145,0.0032654498,0.00015287036,0.0029235466],"study_design_scores_gemma":[0.000003370201,0.000017029199,0.00013307197,0.0000072320963,0.00000529432,0.000011782807,0.000009571172,0.99684095,0.0015779051,0.00084421335,0.0005415663,0.000007979994],"about_ca_topic_score_codex":0.013228934,"about_ca_topic_score_gemma":0.005104158,"teacher_disagreement_score":0.013228934,"about_ca_system_score_codex":0.0008852902,"about_ca_system_score_gemma":0.0017583944,"threshold_uncertainty_score":0.026303828},"labels":[],"label_agreement":null},{"id":"W4400046206","doi":"10.3390/en17133149","title":"Enhancing Electric Shuttle Bus Efficiency: A Case Study on Timetabling and Scheduling Optimization","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Concordia University; Group for Research in Decision Analysis","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Scheduling (production processes); Computer science; Operations research; Mathematical optimization; Automotive engineering; Engineering; Mathematics","score_opus":0.005405818731516716,"score_gpt":0.21460522618954347,"score_spread":0.20919940745802676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400046206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949158,0.00039608032,0.035402697,0.00055510993,0.000048505615,0.00029792852,0.00029141223,0.00016091915,0.013689227],"genre_scores_gemma":[0.9664188,0.00030457816,0.02916827,0.000029585342,0.00001673599,0.00009136212,0.00022523542,0.00003752875,0.0037080422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921274,0.00035976333,0.000022934113,0.000061027535,0.00017282586,0.00017066844],"domain_scores_gemma":[0.9983754,0.0009489509,0.00010882997,0.000083524035,0.00031105833,0.00017216636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012728288,0.00072331144,0.00039959385,0.0006188137,0.0008838308,0.0007599841,0.000823219,0.0007523391,0.0023955149],"category_scores_gemma":[0.0021323955,0.00021782047,0.00063033355,0.001264254,0.0004571089,0.0006681045,0.0004931453,0.0006610013,0.00015705034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049002934,0.0011491386,0.011669293,0.0003796007,0.0000763601,0.0024362367,0.00070771563,0.8972109,0.0066655646,0.0101637915,0.004796841,0.064254425],"study_design_scores_gemma":[0.00017578353,0.0010101671,0.008076452,0.000032178243,0.00005952027,0.0002992047,0.0017975547,0.9705784,0.006669376,0.0017742066,0.009489651,0.000037469905],"about_ca_topic_score_codex":0.048112094,"about_ca_topic_score_gemma":0.070569456,"teacher_disagreement_score":0.048112094,"about_ca_system_score_codex":0.0026701184,"about_ca_system_score_gemma":0.0020942937,"threshold_uncertainty_score":0.095664084},"labels":[],"label_agreement":null},{"id":"W4400082998","doi":"10.3390/en17133171","title":"An Intelligent Power Transformers Diagnostic System Based on Hierarchical Radial Basis Functions Improved by Linde Buzo Gray and Single-Layer Perceptron Algorithms","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Direction Générale de la Recherche Scientifique et du Développement Technologique","keywords":"Perceptron; Transformer; Gray (unit); Computer science; Algorithm; Radial basis function; Artificial intelligence; Pattern recognition (psychology); Artificial neural network; Engineering; Voltage; Electrical engineering","score_opus":0.007535418522426233,"score_gpt":0.21066739011459162,"score_spread":0.2031319715921654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400082998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02143841,0.00047360096,0.9734753,0.00020986033,0.000077755925,0.00007768744,0.000043470118,0.0023863658,0.0018175154],"genre_scores_gemma":[0.68636906,0.0003150791,0.30842373,0.00035061708,0.000073046176,0.00019475933,0.00015910534,0.00007363621,0.004040893],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994941,0.000084725856,0.00003435577,0.0001651836,0.00015534238,0.00006632752],"domain_scores_gemma":[0.9997136,0.00007099679,0.00003427815,0.000026323281,0.00013156897,0.000023199618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091205304,0.00086676073,0.0010356037,0.00074817333,0.000481244,0.0007565157,0.001615072,0.0011655949,0.0015506276],"category_scores_gemma":[0.0011892357,0.0004960461,0.00092599425,0.00047509128,0.000362691,0.0008670651,0.00069073954,0.0010626713,0.0006043375],"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":[0.0004128846,0.0002675201,0.0021260825,0.00016363317,0.0001582734,0.00026233055,0.00012529535,0.35635704,0.038045567,0.006471506,0.00446503,0.5911449],"study_design_scores_gemma":[0.000011372514,0.000034934827,0.00024652743,0.000004273621,0.000018641023,0.000023974042,0.0000026951977,0.99651045,0.00227016,0.00056596874,0.00030194168,0.000008981055],"about_ca_topic_score_codex":0.008368851,"about_ca_topic_score_gemma":0.005413931,"teacher_disagreement_score":0.008368851,"about_ca_system_score_codex":0.0009196768,"about_ca_system_score_gemma":0.0009377903,"threshold_uncertainty_score":0.016640246},"labels":[],"label_agreement":null},{"id":"W4400119838","doi":"10.3390/en17133185","title":"Real-Time Implementable Integrated Energy and Cabin Temperature Management for Battery Life Extension in Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"HVAC; Battery (electricity); Automotive engineering; Energy consumption; State of health; Computer science; Range (aeronautics); Energy management; Driving range; Simulation; Reliability engineering; Air conditioning; Power (physics); Engineering; Energy (signal processing); Electrical engineering; Mechanical engineering","score_opus":0.00805590649518931,"score_gpt":0.24753925465155216,"score_spread":0.23948334815636285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400119838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13509513,0.00077132875,0.8518805,0.00021541589,0.00006528834,0.0000744946,0.00009255472,0.0010433401,0.010762006],"genre_scores_gemma":[0.9920088,0.00010698312,0.006882146,0.000015920177,0.000005246539,0.00002448696,0.000031860174,0.00001834503,0.0009062653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989235,0.000021487887,0.0000039701617,0.000023287943,0.000037321573,0.000021567854],"domain_scores_gemma":[0.9999051,0.000033824326,0.000019934441,0.000008319308,0.000025719679,0.0000071184736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023383576,0.00043313077,0.00031924102,0.00017530372,0.00023618467,0.0004925421,0.00047122155,0.0002810583,0.0011425507],"category_scores_gemma":[0.00041806872,0.00018173442,0.00030264142,0.000119848024,0.00024269287,0.0004040219,0.00044919166,0.00042645965,0.00019250227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006497503,0.00004533125,0.0008949613,0.00006906023,0.000012103485,0.000053474225,0.000056056702,0.9578031,0.01145267,0.002030154,0.00041254936,0.027105546],"study_design_scores_gemma":[0.000004736194,0.000046960555,0.00021911087,0.0000049159426,0.000005419148,0.000011870624,0.000011846884,0.99612254,0.0023410462,0.00052502047,0.0007019687,0.000004558869],"about_ca_topic_score_codex":0.0030125596,"about_ca_topic_score_gemma":0.0039009673,"teacher_disagreement_score":0.0030125596,"about_ca_system_score_codex":0.00031004185,"about_ca_system_score_gemma":0.0005717926,"threshold_uncertainty_score":0.005990088},"labels":[],"label_agreement":null},{"id":"W4400121093","doi":"10.3390/en17133186","title":"Control and Stability of Grid-Forming Inverters: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Grid; Stability (learning theory); Inverter; Control theory (sociology); Electronic stability control; Computer science; Engineering; Control engineering; Control (management); Voltage; Electrical engineering; Automotive engineering; Mathematics","score_opus":0.023342200794352355,"score_gpt":0.25777786341896647,"score_spread":0.23443566262461413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400121093","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":[0.00035055165,0.99616677,0.0013738042,0.00010257672,0.00012927857,0.000009945049,0.00003231514,0.000017428658,0.0018172],"genre_scores_gemma":[0.0041849073,0.99373263,0.0010843327,0.00007656271,0.00015069704,0.000011402889,0.000071048664,0.000005537115,0.0006829351],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997676,0.000030899308,0.00004347364,0.00005324755,0.0000871105,0.000017642702],"domain_scores_gemma":[0.99942255,0.0003157674,0.000083385254,0.000021157277,0.00014011574,0.000017035794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005280511,0.0011045372,0.0012726069,0.001824039,0.00026814925,0.0010295626,0.00094457495,0.0009259634,0.0039285626],"category_scores_gemma":[0.0010402482,0.00043470965,0.00076673285,0.0024195553,0.00030444897,0.0013102643,0.0005797495,0.0007328319,0.0012841962],"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":[0.0000674745,0.00008531277,0.00023581932,0.040808946,0.00015314165,0.00012911756,0.000079087185,0.0035228673,0.002012985,0.0068616536,0.0109957205,0.93504775],"study_design_scores_gemma":[0.00001806349,0.00031172796,0.0015058281,0.012224027,0.0005612905,0.00085353,0.00012721581,0.0023874345,0.002280317,0.004894827,0.97476906,0.00006661962],"about_ca_topic_score_codex":0.0016199858,"about_ca_topic_score_gemma":0.0014643046,"teacher_disagreement_score":0.0039285626,"about_ca_system_score_codex":0.00037720217,"about_ca_system_score_gemma":0.0009961938,"threshold_uncertainty_score":0.013142407},"labels":[],"label_agreement":null},{"id":"W4400201142","doi":"10.3390/en17133197","title":"EOR Technology (Patents) and Science (Articles) Assessment of BRICS and nonBRICS with Growth Rates and Specializations within Responsible Global Energy Transition: A Critical Review","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"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":"Agência Nacional do Petróleo, Gás Natural e Biocombustíveis","keywords":"Renewable energy; Diversification (marketing strategy); Natural resource economics; Energy transition; Enhanced oil recovery; Sustainable development; Fossil fuel; Sustainable growth rate; Peak oil; Environmental science; Environmental economics; Engineering; Economics; Business; Petroleum engineering; Waste management; Ecology; Climate change; Biology","score_opus":0.022456371727722194,"score_gpt":0.33465915381911293,"score_spread":0.31220278209139074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400201142","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":[0.00093881873,0.9977976,0.00014195361,0.00027757385,0.00006352156,0.000045749723,0.00008743883,0.0000041520725,0.00064311014],"genre_scores_gemma":[0.0054544816,0.99371874,0.00037073813,0.00013304844,0.00009208037,0.00005706081,0.000066626984,0.000002065174,0.00010506676],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741495,0.00048021687,0.000835478,0.00029186296,0.0008717192,0.00010575183],"domain_scores_gemma":[0.9771767,0.014880992,0.004174184,0.00022341101,0.003327001,0.00021773075],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006092986,0.00097068556,0.0022411956,0.017707247,0.00043519452,0.0026325479,0.0011370969,0.0013209166,0.0023281479],"category_scores_gemma":[0.014906147,0.0006909052,0.0029061849,0.01191971,0.00075992657,0.0031807218,0.00078783184,0.000879189,0.0004196413],"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":[0.00017816466,0.0001019398,0.004523206,0.15290493,0.0010462025,0.00021081764,0.00034503223,0.00070277444,0.0008235788,0.003185204,0.006822826,0.8291554],"study_design_scores_gemma":[0.000079833844,0.0010117326,0.051085867,0.23865117,0.012726735,0.0023288787,0.0017977448,0.0011668294,0.0038489967,0.0042398972,0.6828721,0.00019022325],"about_ca_topic_score_codex":0.0044204406,"about_ca_topic_score_gemma":0.0066539156,"teacher_disagreement_score":0.9822928,"about_ca_system_score_codex":0.002594585,"about_ca_system_score_gemma":0.0060500447,"threshold_uncertainty_score":0.032223165},"labels":[],"label_agreement":null},{"id":"W4400297315","doi":"10.3390/en17133260","title":"On the Determination of Efficiency of a Gas Compressor","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; University of Sudbury","funders":"Independent Electricity System Operator; Northern Ontario Heritage Fund Corporation","keywords":"Gas compressor; Process engineering; Environmental science; Computer science; Automotive engineering; Engineering; Mechanical engineering","score_opus":0.008298187896798263,"score_gpt":0.22243686101868365,"score_spread":0.2141386731218854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400297315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15510088,0.007577888,0.6387808,0.00089937146,0.00035283007,0.0004279235,0.000912393,0.0014460343,0.19450188],"genre_scores_gemma":[0.921163,0.004072913,0.05205762,0.00018326762,0.000086724016,0.00014746626,0.000441113,0.00053423893,0.021313569],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99689865,0.00049791497,0.00016163691,0.00039437518,0.0018841539,0.00016327109],"domain_scores_gemma":[0.9977362,0.0013943813,0.00011322847,0.0002553909,0.00046818124,0.000032626063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021384258,0.00073028373,0.00090943417,0.0019397053,0.00063767086,0.0022426855,0.0012732884,0.00081084383,0.0044855475],"category_scores_gemma":[0.008351797,0.00036226376,0.0005525624,0.0015819834,0.0018278011,0.0020962907,0.0011167566,0.0010584913,0.0024008753],"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":[0.0006582758,0.0001612379,0.0144868335,0.0012597264,0.00011379122,0.000797495,0.00056345115,0.15996313,0.21459599,0.18422493,0.005790648,0.41738442],"study_design_scores_gemma":[0.000045871726,0.00056316075,0.022458093,0.0004889756,0.00011799651,0.0013805028,0.00045716146,0.37283102,0.49836722,0.028954616,0.07408314,0.00025221056],"about_ca_topic_score_codex":0.0015737849,"about_ca_topic_score_gemma":0.00097447314,"teacher_disagreement_score":0.0044855475,"about_ca_system_score_codex":0.0008982731,"about_ca_system_score_gemma":0.0005453972,"threshold_uncertainty_score":0.015005648},"labels":[],"label_agreement":null},{"id":"W4400323912","doi":"10.3390/en17133284","title":"Response of Carbon Energy Storage to Land Use/Cover Changes in Shanxi Province, China","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Tongling University; Anhui University; National Natural Science Foundation of China","keywords":"China; Cover (algebra); Carbon fibers; Land cover; Environmental science; Environmental protection; Land use; Natural resource economics; Geography; Civil engineering; Engineering; Computer science; Economics; Archaeology","score_opus":0.006704342691625237,"score_gpt":0.20001098436652187,"score_spread":0.19330664167489664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400323912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994191,0.000034360957,0.00004896553,0.00004508116,0.0000022613656,0.000002371401,0.00020468468,0.000006988372,0.00023620839],"genre_scores_gemma":[0.9993351,0.000024703166,0.000038149738,0.000008185489,0.0000012141791,0.0000028420686,0.00033392396,0.0000013871108,0.00025444815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998103,0.000026936688,0.000016731656,0.000044912485,0.000042352553,0.000058864993],"domain_scores_gemma":[0.99947685,0.000082474005,0.00010989977,0.000040732317,0.00018770307,0.00010246256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000391196,0.00029438792,0.00019407208,0.0006630853,0.0003588062,0.0004963668,0.00035333887,0.0002606751,0.0008603525],"category_scores_gemma":[0.00083680724,0.0002031498,0.00041769445,0.0011110853,0.000342967,0.00025160817,0.00042659361,0.0001909666,0.000090393245],"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":[0.000118574266,0.000039214683,0.98364085,0.00003496085,0.0001031836,0.00031186963,0.00041296886,0.0064296774,0.002122256,0.00016055861,0.0004739889,0.006151916],"study_design_scores_gemma":[0.000004308065,0.000017525108,0.99452364,0.0000027263889,0.000010529651,0.000025383126,0.0002567591,0.0047923895,0.00012716521,0.00003663794,0.00019801994,0.0000049260257],"about_ca_topic_score_codex":0.28327525,"about_ca_topic_score_gemma":0.32677856,"teacher_disagreement_score":0.28327525,"about_ca_system_score_codex":0.0022499089,"about_ca_system_score_gemma":0.002235799,"threshold_uncertainty_score":0.5632528},"labels":[],"label_agreement":null},{"id":"W4400446536","doi":"10.3390/en17143371","title":"Review on Advanced Storage Control Applied to Optimized Operation of Energy Systems for Buildings and Districts: Insights and Perspectives","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministero dell'Università e della Ricerca; European Commission","keywords":"Flexibility (engineering); Computer science; Context (archaeology); Renewable energy; Energy storage; Control (management); Systems engineering; Resilience (materials science); Risk analysis (engineering); Component (thermodynamics); Reliability engineering; Industrial engineering; Engineering; Management science; Artificial intelligence","score_opus":0.006651571402258944,"score_gpt":0.20705471162775907,"score_spread":0.20040314022550013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400446536","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":[0.0002700443,0.9972602,0.0008065624,0.00027008523,0.00022947667,0.000012596567,0.000036883634,0.000007870463,0.0011063064],"genre_scores_gemma":[0.0030392352,0.99566454,0.00059159135,0.00018177924,0.0002032814,0.000012676282,0.000037949598,0.0000035533021,0.0002654386],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936455,0.00016741983,0.00014818153,0.00010265311,0.0001797083,0.000037545422],"domain_scores_gemma":[0.9969216,0.0023482658,0.00025257532,0.000065540014,0.00038022723,0.000031854193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012678016,0.0009717223,0.0017267311,0.0023592205,0.0002604798,0.0016649632,0.0009210517,0.0011025318,0.003575488],"category_scores_gemma":[0.003970876,0.00040062313,0.0012486118,0.0037027274,0.00038491172,0.0015388905,0.0005284044,0.0008987842,0.00073699123],"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":[0.00013516624,0.00006764937,0.0003756229,0.1808393,0.0007408925,0.00023594168,0.00022371404,0.0037030638,0.0018553968,0.016562777,0.019293185,0.7759673],"study_design_scores_gemma":[0.00003199309,0.0003969262,0.0018779415,0.068099104,0.0016674029,0.00091075146,0.00026468537,0.0013036317,0.0015241283,0.007501629,0.91635233,0.00006954294],"about_ca_topic_score_codex":0.001779239,"about_ca_topic_score_gemma":0.002354833,"teacher_disagreement_score":0.003575488,"about_ca_system_score_codex":0.00066113676,"about_ca_system_score_gemma":0.0025162653,"threshold_uncertainty_score":0.011961162},"labels":[],"label_agreement":null},{"id":"W4400457420","doi":"10.3390/en17143360","title":"Powering the Future: Advanced Battery Management Systems (BMS) for Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of New Brunswick","funders":"","keywords":"Battery (electricity); Automotive engineering; Battery electric vehicle; Engineering; Computer science; Electrical engineering; Systems engineering; Power (physics); Physics","score_opus":0.00757181072637863,"score_gpt":0.2426587385293435,"score_spread":0.23508692780296486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400457420","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05123937,0.111764126,0.6530004,0.012082677,0.0037591856,0.0003267302,0.00045719344,0.0048498875,0.16252044],"genre_scores_gemma":[0.53870094,0.071893975,0.18932945,0.0027982153,0.0022126106,0.00017831182,0.0011296674,0.00042828254,0.1933285],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998362,0.000021274585,0.0000084443545,0.00002331081,0.00009905303,0.00001172548],"domain_scores_gemma":[0.99991906,0.000009358411,0.000009047218,0.0000073669403,0.000047817033,0.000007341026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028057376,0.00037817995,0.00015540663,0.00037563374,0.00025275338,0.0010341977,0.00062488107,0.0006460367,0.008293653],"category_scores_gemma":[0.00031274222,0.00010848348,0.00012603383,0.0005208443,0.00023604959,0.0020911659,0.0004893281,0.0005243319,0.0030734115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009843604,0.00004410249,0.00062424474,0.00058899465,0.000019798632,0.00010765445,0.00013291648,0.0016358122,0.057415172,0.045112383,0.022208571,0.872012],"study_design_scores_gemma":[0.000020129473,0.00042518272,0.0010802738,0.00020673331,0.000035204084,0.0005852025,0.0001964163,0.011671253,0.043786738,0.018654432,0.92330873,0.000029619492],"about_ca_topic_score_codex":0.00036597587,"about_ca_topic_score_gemma":0.00070079527,"teacher_disagreement_score":0.008293653,"about_ca_system_score_codex":0.00035754792,"about_ca_system_score_gemma":0.00032733518,"threshold_uncertainty_score":0.027745068},"labels":[],"label_agreement":null},{"id":"W4400487570","doi":"10.3390/en17143385","title":"Linear Quadratic Gaussian Controller for Single-Ended Primary Inductor Converter via Integral Linear Quadratic Regulator Merged with an Offline Kalman Filter","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear-quadratic-Gaussian control; Optimal projection equations; Control theory (sociology); Linear-quadratic regulator; Kalman filter; Computer science; Mathematics; Optimal control; Mathematical optimization","score_opus":0.013617266836460494,"score_gpt":0.2282940593862922,"score_spread":0.21467679254983169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400487570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004470134,0.00014875938,0.9916699,0.000053014788,0.00006940786,0.0000361496,0.000012343429,0.0007389679,0.002801383],"genre_scores_gemma":[0.8701785,0.000305223,0.12209881,0.00014448573,0.00011304027,0.00015525808,0.000073803276,0.00008241826,0.006848502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904805,0.00014019056,0.000047308884,0.00021460216,0.00047258404,0.00007724669],"domain_scores_gemma":[0.9994752,0.00013711768,0.0000632319,0.000046217345,0.00025736453,0.000020846814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010096403,0.0005359143,0.0006673364,0.00032379685,0.0004426227,0.0010333483,0.001202701,0.00047817576,0.0020978225],"category_scores_gemma":[0.0010508503,0.0002446052,0.00052747165,0.00029990554,0.00052363245,0.0005795791,0.0006729978,0.0011146447,0.0006605463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049503776,0.00035318887,0.0016693717,0.0008240623,0.00016215286,0.00044830976,0.00056716724,0.45775682,0.09217195,0.025867129,0.0055589024,0.4141259],"study_design_scores_gemma":[0.00004100408,0.00031641274,0.00033311246,0.000021860606,0.0000367059,0.00007391307,0.000018039858,0.9816652,0.010704229,0.0014638641,0.0053084153,0.000017168062],"about_ca_topic_score_codex":0.002505872,"about_ca_topic_score_gemma":0.0026915977,"teacher_disagreement_score":0.002505872,"about_ca_system_score_codex":0.00052407355,"about_ca_system_score_gemma":0.0007835896,"threshold_uncertainty_score":0.0070179105},"labels":[],"label_agreement":null},{"id":"W4400573448","doi":"10.3390/en17143493","title":"Optimal Placement of Multiple Sources in a Mesh-Type DC Microgrid Using Dijkstra’s Algorithm","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Angers Loire Métropole; Campus France","keywords":"Dijkstra's algorithm; Algorithm; Microgrid; Type (biology); Computer science; Mathematics; Shortest path problem; Theoretical computer science; Artificial intelligence; Geology; Control (management); Graph","score_opus":0.008143895723293387,"score_gpt":0.2098006827762833,"score_spread":0.20165678705298992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400573448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028271373,0.0001488311,0.9644617,0.00015306675,0.0000314516,0.000100324665,0.00009572782,0.00018745636,0.006550075],"genre_scores_gemma":[0.5997358,0.00028412233,0.39297345,0.000059477803,0.00002287072,0.00017953276,0.00017654499,0.000085082786,0.0064831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982685,0.000052674404,0.000009657821,0.0000389061,0.000044381508,0.000027639671],"domain_scores_gemma":[0.9997197,0.00013555776,0.000041668463,0.000019905197,0.00006343426,0.000019681813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046030458,0.0008249116,0.00069616165,0.00075110554,0.00046580634,0.0009834081,0.0009008208,0.0007301929,0.0030993302],"category_scores_gemma":[0.0013415733,0.00040264064,0.00051899336,0.0010421849,0.00041907764,0.0008240577,0.00062755065,0.0003926529,0.00036237287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002281354,0.000013014268,0.00026152947,0.000030390142,0.000013453342,0.000025434305,0.000026373467,0.97729707,0.0006588313,0.005322415,0.00049470656,0.015833931],"study_design_scores_gemma":[0.0000075095754,0.000019122279,0.0000593646,0.00000356367,0.000004525548,0.000008460265,0.00002447578,0.99627435,0.00024331173,0.0028721197,0.00048024123,0.0000029482503],"about_ca_topic_score_codex":0.012346794,"about_ca_topic_score_gemma":0.010588182,"teacher_disagreement_score":0.012346794,"about_ca_system_score_codex":0.0011548304,"about_ca_system_score_gemma":0.0012324636,"threshold_uncertainty_score":0.024549901},"labels":[],"label_agreement":null},{"id":"W4400649029","doi":"10.3390/en17143466","title":"Numerical Simulation of Geothermal Energy Development at Mount Meager and Its Impact on In Situ Thermal Stress","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada; University of Waterloo","funders":"","keywords":"Geothermal gradient; Geothermal energy; Geothermal power; Borehole; Heat transfer; Geothermal heating; Coaxial; Thermal energy; Environmental science; Stress (linguistics); Heat exchanger; Finite element method; Mechanics; Geology; Petroleum engineering; Nuclear engineering; Geotechnical engineering; Mechanical engineering; Engineering; Geophysics; Thermodynamics; Structural engineering; Physics","score_opus":0.011988946665598984,"score_gpt":0.2631605279406545,"score_spread":0.2511715812750555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400649029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98026365,0.000107061394,0.008486662,0.0002466705,0.00003758248,0.00002690226,0.00039823307,0.000137417,0.010295793],"genre_scores_gemma":[0.9963258,0.000047625846,0.0018409609,0.000011866175,0.0000029869066,0.000020574225,0.000109439155,0.000012129572,0.001628709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990094,0.000020467294,0.0000050859257,0.000017497025,0.000023795998,0.00003214502],"domain_scores_gemma":[0.9997037,0.0001607095,0.000042678956,0.000020077876,0.00004123773,0.000031632753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023846279,0.00036536998,0.00041915494,0.00032824892,0.00054168596,0.000777426,0.000534555,0.0011134482,0.0023580694],"category_scores_gemma":[0.0006545481,0.00024643625,0.0004381884,0.0004951127,0.0007914896,0.00044358746,0.0004177301,0.00050902937,0.00017962695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006448289,0.00005992666,0.0035963457,0.000031927164,0.00000950255,0.0001439109,0.00006936939,0.9885356,0.0047046756,0.0010101439,0.00022914582,0.0015449174],"study_design_scores_gemma":[0.000010001132,0.000029779038,0.0012681318,0.000004117049,0.000003303362,0.000011834082,0.000053589185,0.9972377,0.0010069811,0.00015314769,0.00021630267,0.0000051572224],"about_ca_topic_score_codex":0.01599326,"about_ca_topic_score_gemma":0.014801037,"teacher_disagreement_score":0.01599326,"about_ca_system_score_codex":0.0008349709,"about_ca_system_score_gemma":0.0007714013,"threshold_uncertainty_score":0.03180033},"labels":[],"label_agreement":null},{"id":"W4400729190","doi":"10.3390/en17143502","title":"Transformer-Based Deep Learning Models for State of Charge and State of Health Estimation of Li-Ion Batteries: A Survey Study","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Transformer; State of health; Ion; State (computer science); Charge (physics); Electrical engineering; Engineering; Computer science; Materials science; Reliability engineering; Chemistry; Physics; Voltage; Battery (electricity); Algorithm","score_opus":0.03862203093840311,"score_gpt":0.30841730225573116,"score_spread":0.26979527131732806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400729190","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12684768,0.123320654,0.7289958,0.0013635105,0.0003061562,0.00008942478,0.0019362461,0.0012658185,0.01587459],"genre_scores_gemma":[0.81520313,0.08636964,0.08339013,0.00036511593,0.00022967,0.0001249752,0.004222014,0.00013562139,0.009959764],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997898,0.00003720343,0.000029239513,0.000060106915,0.000065243265,0.000018582079],"domain_scores_gemma":[0.99938464,0.00034254667,0.000033248718,0.000039931158,0.0001867949,0.000012870337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076283456,0.00069949677,0.0005052841,0.00075404736,0.000101922546,0.0006964052,0.0007337228,0.0004664944,0.0012720489],"category_scores_gemma":[0.0020756205,0.00029864698,0.0005945873,0.0011891339,0.00017268943,0.001242202,0.00036756712,0.0008158665,0.0006003032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015632945,0.00012389767,0.0075660427,0.00088338315,0.00015637313,0.00008124075,0.00009876231,0.23837727,0.0024897868,0.007575913,0.0057001575,0.73679084],"study_design_scores_gemma":[0.0000061945825,0.0001224415,0.0027271493,0.00017429369,0.0001019979,0.00012626968,0.00006369901,0.97431856,0.0037027008,0.004573006,0.014060771,0.000022931403],"about_ca_topic_score_codex":0.006143976,"about_ca_topic_score_gemma":0.0054614185,"teacher_disagreement_score":0.006143976,"about_ca_system_score_codex":0.00044871366,"about_ca_system_score_gemma":0.00046460037,"threshold_uncertainty_score":0.012216449},"labels":[],"label_agreement":null},{"id":"W4400768668","doi":"10.3390/en17143533","title":"Review of Various Sensor Technologies in Monitoring the Condition of Power Transformers","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Electrical engineering; Condition monitoring; Computer science; Engineering; Voltage","score_opus":0.007401744741673655,"score_gpt":0.23587899895514633,"score_spread":0.22847725421347267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400768668","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":[0.0007084041,0.99324703,0.0025945394,0.00027926225,0.00036041162,0.000019038356,0.00006922332,0.000023162705,0.0026989453],"genre_scores_gemma":[0.0032458883,0.99322814,0.0020491902,0.00016954452,0.0002715843,0.000017720247,0.00007710711,0.000005323334,0.0009354676],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938893,0.00010200995,0.00010895697,0.00010979195,0.00025184962,0.00003838013],"domain_scores_gemma":[0.99923766,0.0003625228,0.00009455359,0.000026960004,0.00025669945,0.00002156572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084500347,0.0010141631,0.0010359688,0.0031643,0.00033856474,0.0009089083,0.0010386023,0.0008889761,0.0024341643],"category_scores_gemma":[0.0011297927,0.00044672846,0.0008215781,0.003738314,0.00036893133,0.0017410086,0.00050963066,0.000795205,0.001271083],"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":[0.00009628896,0.00010740704,0.000749352,0.044670705,0.00017535666,0.00041704974,0.00017112015,0.0020503951,0.013075257,0.007139145,0.019823998,0.91152406],"study_design_scores_gemma":[0.000009839373,0.00028848802,0.0027714083,0.009610491,0.00042171162,0.0020439557,0.00019385594,0.001243533,0.010076652,0.0036380764,0.96963173,0.000070308466],"about_ca_topic_score_codex":0.0014027408,"about_ca_topic_score_gemma":0.001661621,"teacher_disagreement_score":0.0031643,"about_ca_system_score_codex":0.00048940623,"about_ca_system_score_gemma":0.0010960376,"threshold_uncertainty_score":0.008143067},"labels":[],"label_agreement":null},{"id":"W4400875263","doi":"10.3390/en17143594","title":"Correction: Meena et al. Innovation in Green Building Sector for Sustainable Future. Energies 2022, 15, 6631","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Engineering","score_opus":0.008973676568957143,"score_gpt":0.25486982904027156,"score_spread":0.2458961524713144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400875263","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010303568,0.0009214931,0.00075031794,0.08729362,0.9014247,0.000033168322,0.00482208,0.0007591335,0.0038924776],"genre_scores_gemma":[0.019974789,0.012075798,0.0059933397,0.23077966,0.3327163,0.00056227786,0.01581291,0.0055348296,0.3765501],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99150497,0.0008709052,0.0011173231,0.0013357808,0.0042766943,0.000894333],"domain_scores_gemma":[0.9336347,0.010127358,0.002512514,0.0032294022,0.048498668,0.0019973011],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005654112,0.0031309966,0.002130277,0.004727465,0.004695042,0.007462264,0.0048345923,0.010373139,0.10220219],"category_scores_gemma":[0.10633763,0.0013039974,0.0028630022,0.0044756676,0.0031314536,0.0037972252,0.003955695,0.015281859,0.07382042],"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":[0.000011125454,0.0000014554532,0.000025909329,0.00005633497,0.000004026634,0.000032147902,0.000020440255,0.000013551349,0.000012252505,0.00039947286,0.99791366,0.0015095581],"study_design_scores_gemma":[0.0000398387,0.000009243673,0.00060888624,0.00041866204,0.000027075395,0.00016774573,0.00012332763,0.00012969087,0.00023094798,0.001136129,0.9970734,0.000035001292],"about_ca_topic_score_codex":0.06314648,"about_ca_topic_score_gemma":0.046329763,"teacher_disagreement_score":0.9943459,"about_ca_system_score_codex":0.0061284797,"about_ca_system_score_gemma":0.011503425,"threshold_uncertainty_score":0.3419004},"labels":[],"label_agreement":null},{"id":"W4400875700","doi":"10.3390/en17143570","title":"A Novel Non-Isolated Bidirectional DC-DC Converter with Improved Current Ripples for Low-Voltage On-Board Charging","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current (fluid); Electrical engineering; Forward converter; Voltage; Flyback converter; Charge pump; Boost converter; Engineering; Capacitor","score_opus":0.008295049824386195,"score_gpt":0.22308323877708333,"score_spread":0.21478818895269713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400875700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19958143,0.0015186715,0.7445783,0.0002745546,0.00034646926,0.00023559469,0.0002516988,0.0022761126,0.050937198],"genre_scores_gemma":[0.9094341,0.00063390494,0.07459815,0.00015454301,0.000059104666,0.000076157834,0.00018159465,0.00013948916,0.014723068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989474,0.000008010779,0.0000053163562,0.000015298416,0.00006122909,0.000015277186],"domain_scores_gemma":[0.99991524,0.000009967916,0.000007324341,0.000012852816,0.000045333305,0.000009327467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117146774,0.00023210829,0.00031207295,0.00029112765,0.00031644836,0.00064648886,0.0008168276,0.0002458793,0.0025246153],"category_scores_gemma":[0.00014531062,0.000110645466,0.00022042828,0.00036565604,0.00012935683,0.00054478156,0.0002689968,0.00035626366,0.00082692556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037786938,0.00017808427,0.00072747405,0.00071705255,0.000051418443,0.00068229245,0.00020501889,0.005523482,0.74907714,0.010577212,0.0027956802,0.22908723],"study_design_scores_gemma":[0.00013026793,0.0008073542,0.0028237689,0.000118640965,0.000141157,0.003672505,0.00023059943,0.20891412,0.71419084,0.0063787177,0.06251523,0.00007678753],"about_ca_topic_score_codex":0.00032847997,"about_ca_topic_score_gemma":0.0008634581,"teacher_disagreement_score":0.0025246153,"about_ca_system_score_codex":0.00020746015,"about_ca_system_score_gemma":0.00029248,"threshold_uncertainty_score":0.00844568},"labels":[],"label_agreement":null},{"id":"W4400875768","doi":"10.3390/en17143566","title":"Ambient Temperature Effects on Energy Consumption and CO2 Emissions of a Plug-in Hybrid Electric Vehicle","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Automotive engineering; Powertrain; Environmental science; Internal combustion engine; Energy consumption; Electric vehicle; Combustion; Battery electric vehicle; Electric energy consumption; Spark plug; Fuel efficiency; Engineering; Electrical engineering; Chemistry; Electric energy; Mechanical engineering; Power (physics)","score_opus":0.0043701799897387615,"score_gpt":0.20514870020970064,"score_spread":0.20077852021996187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400875768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991596,0.000044552748,0.0003892417,0.000003403249,0.000004585087,0.0000034534878,0.000055362885,0.000011510036,0.0003284213],"genre_scores_gemma":[0.99947673,0.00003297389,0.00012144092,0.0000026523617,0.0000011622349,0.0000038116498,0.00009282242,0.0000046036507,0.00026374895],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983823,0.000019569632,0.00000905574,0.000040839437,0.000051146857,0.000041101022],"domain_scores_gemma":[0.9998357,0.000047496735,0.000017837998,0.000013386865,0.000072117036,0.000013358999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012546964,0.00039535633,0.00027104298,0.00019811656,0.00021387613,0.00032006874,0.00020082887,0.0001890428,0.0006909697],"category_scores_gemma":[0.00023719162,0.00016290734,0.00032287298,0.00018456252,0.00014066683,0.00025131518,0.00018113999,0.00017746654,0.00018367123],"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":[0.0032226134,0.00051003275,0.0765236,0.00023678635,0.0001937133,0.0006421164,0.00025348747,0.014882751,0.8762843,0.00008433598,0.00023812786,0.026928216],"study_design_scores_gemma":[0.000026912481,0.0023723359,0.41146776,0.000012301108,0.00018644816,0.00027337635,0.0005152038,0.0174049,0.56647956,0.00008307283,0.0011281432,0.000050049068],"about_ca_topic_score_codex":0.003360936,"about_ca_topic_score_gemma":0.0047771083,"teacher_disagreement_score":0.003360936,"about_ca_system_score_codex":0.00019602483,"about_ca_system_score_gemma":0.0001134302,"threshold_uncertainty_score":0.0066827536},"labels":[],"label_agreement":null},{"id":"W4400875811","doi":"10.3390/en17143568","title":"Enhancing Trust in Transactive Energy with Individually Linkable Pseudonymous Trading Using Smart Contracts","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communitech; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transactive memory; Business; Computer science; Energy (signal processing); Computer security; Knowledge management; Mathematics","score_opus":0.009817283567136528,"score_gpt":0.22328364703915035,"score_spread":0.2134663634720138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400875811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14059013,0.0003114764,0.8439005,0.001097676,0.00008420537,0.00029062422,0.000047246558,0.0004640312,0.013214062],"genre_scores_gemma":[0.9357723,0.0001511661,0.060388125,0.00010171145,0.000024042747,0.00012340676,0.000032867993,0.000037087015,0.0033692552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99343646,0.0033630088,0.0003994167,0.00071079563,0.0016450442,0.00044522065],"domain_scores_gemma":[0.9854165,0.006275571,0.001763532,0.0044494625,0.00142572,0.000669122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006346206,0.00044089384,0.0005851742,0.00066065835,0.0013671975,0.0024574776,0.0013693698,0.0013773357,0.0035043692],"category_scores_gemma":[0.022909567,0.00040503693,0.0005973749,0.000697801,0.0028296437,0.009312911,0.004991798,0.0017208871,0.0006872441],"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":[0.0009397218,0.0004910318,0.0059224297,0.00041821713,0.00011002409,0.0013368215,0.003906286,0.09734786,0.02919256,0.66752476,0.0024935892,0.19031675],"study_design_scores_gemma":[0.00014843323,0.00049999706,0.0011050168,0.00013090819,0.000074114025,0.0007717932,0.000734472,0.643521,0.016690496,0.319434,0.016791534,0.00009820686],"about_ca_topic_score_codex":0.00095978624,"about_ca_topic_score_gemma":0.0009643064,"teacher_disagreement_score":0.006346206,"about_ca_system_score_codex":0.0011868988,"about_ca_system_score_gemma":0.0018998266,"threshold_uncertainty_score":0.033562362},"labels":[],"label_agreement":null},{"id":"W4400875915","doi":"10.3390/en17143580","title":"Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer 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":"Lakes Environmental (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Solar irradiance; Computer science; Artificial neural network; Irradiance; Renewable energy; Data mining; Artificial intelligence; Meteorology; Machine learning; Engineering","score_opus":0.060532701515260266,"score_gpt":0.30617419804775486,"score_spread":0.2456414965324946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400875915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754887,0.0007150745,0.0043687,0.0010376354,0.00012966973,0.000083233695,0.00941608,0.0012287016,0.0075321635],"genre_scores_gemma":[0.97439754,0.00028865098,0.007291833,0.00008172402,0.000036449932,0.0000383343,0.015897062,0.000051305622,0.0019170926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967563,0.00005521569,0.000026471489,0.00010568872,0.000098944794,0.000038093865],"domain_scores_gemma":[0.9993338,0.00022149798,0.00003889103,0.000122064564,0.0002474337,0.00003635765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083701697,0.00041133372,0.00050393736,0.0007161717,0.0006233755,0.0007946429,0.0010935278,0.0006630231,0.0011878613],"category_scores_gemma":[0.0018342861,0.00013072642,0.0004466214,0.0015666158,0.00029746458,0.00081484637,0.00041021314,0.00057225575,0.00023655516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074366975,0.0012260422,0.12127332,0.0006139326,0.0003694361,0.0019424343,0.00042111453,0.6388885,0.003502429,0.003608446,0.08302394,0.14438677],"study_design_scores_gemma":[0.00012307063,0.0001453039,0.08459273,0.000030477808,0.000058901336,0.00013238905,0.00046711805,0.896863,0.0024002655,0.0016214746,0.013519714,0.00004567579],"about_ca_topic_score_codex":0.16110897,"about_ca_topic_score_gemma":0.21049483,"teacher_disagreement_score":0.16110897,"about_ca_system_score_codex":0.0016718165,"about_ca_system_score_gemma":0.000850639,"threshold_uncertainty_score":0.32034242},"labels":[],"label_agreement":null},{"id":"W4400953276","doi":"10.3390/en17153619","title":"Optimal Resilience and Risk-Driven Strategies for Pre-Disaster Protection of Electric Power Systems against Uncertain Disaster Scenarios","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"State Grid Shanghai Municipal Electric Power Company; National Natural Science Foundation of China","keywords":"Resilience (materials science); Risk analysis (engineering); Electric power system; Electric power; Computer science; Power (physics); Business","score_opus":0.006262396725675022,"score_gpt":0.2314511439100006,"score_spread":0.22518874718432558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400953276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18444034,0.0005989959,0.7896977,0.0014872915,0.000073709125,0.00020589406,0.00030804097,0.0002602191,0.022927826],"genre_scores_gemma":[0.98260087,0.00027878679,0.013879758,0.000052805102,0.000012025184,0.00011432497,0.000057425434,0.000022847184,0.0029810881],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995382,0.00019470723,0.000014623487,0.00006918277,0.00008211593,0.00010123373],"domain_scores_gemma":[0.99896157,0.0005870449,0.00021620038,0.000030202766,0.00012640936,0.00007840533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278218,0.0010862408,0.0007716921,0.0009069122,0.00046810627,0.0013908036,0.0010923877,0.0011424032,0.002493138],"category_scores_gemma":[0.0032871736,0.00059518206,0.0008347509,0.0004432005,0.0009260195,0.0015515959,0.0011866937,0.0011365414,0.00018556532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007391403,0.0000068370186,0.00010489199,0.000007702755,0.000007127065,0.000014696938,0.000014008678,0.99485886,0.00012597293,0.003883581,0.0000720128,0.000897004],"study_design_scores_gemma":[0.0000058996225,0.000026232261,0.00013902008,0.000008714514,0.000009091585,0.0000087102335,0.000032699176,0.99392515,0.00011090573,0.0054973727,0.00022933085,0.0000069036682],"about_ca_topic_score_codex":0.012130028,"about_ca_topic_score_gemma":0.009798207,"teacher_disagreement_score":0.012130028,"about_ca_system_score_codex":0.002315373,"about_ca_system_score_gemma":0.0022485082,"threshold_uncertainty_score":0.02411884},"labels":[],"label_agreement":null},{"id":"W4401103677","doi":"10.3390/en17153710","title":"Can Aqueous Na2SO4-Based Neutral Electrolyte Increase Energy Density of Monolithic Wood Biochar Electrode Supercapacitor?","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supercapacitor; Electrolyte; Capacitance; Electrochemistry; Materials science; Electrode; Energy storage; Power density; Specific energy; Chemical engineering; Chemistry; Physics; Power (physics)","score_opus":0.007867525812390891,"score_gpt":0.20857872996995597,"score_spread":0.20071120415756508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401103677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705536,0.007437238,0.01702952,0.00057757,0.00023432633,0.00005112092,0.00029981058,0.00025268816,0.0035642644],"genre_scores_gemma":[0.99167365,0.0025067157,0.0044800243,0.00006747293,0.000019870122,0.000013052386,0.00012591557,0.00001738065,0.0010958834],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985254,0.000019158537,0.000013511774,0.000035457022,0.000052808693,0.000026504948],"domain_scores_gemma":[0.99989104,0.000033170178,0.000014977272,0.000007835277,0.00004460757,0.000008391463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024434066,0.00037619492,0.00030966787,0.00024805454,0.00011517178,0.0004920466,0.00053079205,0.0004533605,0.00079635234],"category_scores_gemma":[0.00042044497,0.0001766518,0.00020928279,0.00024176123,0.00019677427,0.0008813391,0.00021586564,0.00028853107,0.00042140938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001043376,0.00003206876,0.00033465732,0.00018122798,0.000014121541,0.00008640138,0.000016049731,0.00034005695,0.98830765,0.00020422076,0.00008729172,0.010291773],"study_design_scores_gemma":[0.000004738595,0.00018498527,0.0008433534,0.0000106571015,0.000015955817,0.00007655564,0.00003691381,0.0027686823,0.9940228,0.00009116619,0.001936915,0.0000072534976],"about_ca_topic_score_codex":0.00044795356,"about_ca_topic_score_gemma":0.0011772375,"teacher_disagreement_score":0.00079635234,"about_ca_system_score_codex":0.00021890625,"about_ca_system_score_gemma":0.00014280202,"threshold_uncertainty_score":0.0026640296},"labels":[],"label_agreement":null},{"id":"W4401112704","doi":"10.3390/en17153759","title":"3D Numerical Modeling to Assess the Energy Performance of Solid–Solid Phase Change Materials in Glazing Systems","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Glazing; Materials science; Phase-change material; Environmental science; Phase (matter); Nuclear engineering; Range (aeronautics); Composite material; Structural engineering; Phase change; Thermodynamics; Engineering; Chemistry; Physics","score_opus":0.10391871160853086,"score_gpt":0.3592246274843329,"score_spread":0.2553059158758021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401112704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48937473,0.0007016255,0.4861167,0.00032756914,0.00010651964,0.00021665901,0.0010217065,0.0011144989,0.021020005],"genre_scores_gemma":[0.92048407,0.00039785635,0.07538914,0.00004399605,0.0000085355005,0.00018972275,0.0003624906,0.00008778729,0.0030363558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998311,0.000028235996,0.00000850564,0.000019435358,0.00009378864,0.00001892227],"domain_scores_gemma":[0.9997907,0.00010222024,0.00002757233,0.00002872989,0.00004286616,0.000007918741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002483693,0.00052404037,0.00039971538,0.00033186373,0.0002723932,0.0007426819,0.0005370928,0.00085472094,0.0020048344],"category_scores_gemma":[0.00063946535,0.00028878948,0.0006257655,0.00039883482,0.00028986885,0.0005250275,0.00039554085,0.00038407947,0.00035307824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027936687,0.000040406307,0.0011029793,0.000073742056,0.000011952686,0.000053757834,0.00004651483,0.97295547,0.01754607,0.0016082824,0.0001968838,0.006336061],"study_design_scores_gemma":[0.0000038125675,0.00001670292,0.0002725728,0.0000040465497,0.0000026276966,0.000014567046,0.000013395675,0.9960877,0.002792884,0.0001842966,0.0006028152,0.000004593233],"about_ca_topic_score_codex":0.0049766134,"about_ca_topic_score_gemma":0.004518887,"teacher_disagreement_score":0.0049766134,"about_ca_system_score_codex":0.0005022084,"about_ca_system_score_gemma":0.00066880777,"threshold_uncertainty_score":0.009895265},"labels":[],"label_agreement":null},{"id":"W4401162300","doi":"10.3390/en17153775","title":"Taking Advantage of Spare Battery Capacity in Cellular Networks to Provide Grid Frequency Regulation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Age of Information Optimization","field":"Computer Science","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":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Mitacs","keywords":"Spare part; Battery capacity; Battery (electricity); Frequency regulation; Grid; Computer science; Telecommunications; Electrical engineering; Engineering; Operations management; Electric power system; Power (physics)","score_opus":0.017158187086252323,"score_gpt":0.22012571542902182,"score_spread":0.2029675283427695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401162300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12058864,0.0012459714,0.8649706,0.00056106324,0.00008982012,0.00007864628,0.00032600632,0.0003128728,0.011826275],"genre_scores_gemma":[0.9807165,0.0005226191,0.017081885,0.000035494406,0.000019699453,0.000041717547,0.000077227014,0.000019522937,0.0014852537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996445,0.00013465263,0.00001262666,0.000055299082,0.00007670447,0.00007617624],"domain_scores_gemma":[0.999345,0.00040234823,0.00007015348,0.00005883945,0.0000931561,0.000030430954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006712017,0.00076585216,0.0005697357,0.0004673218,0.00047255235,0.0011122036,0.00082707364,0.0006159574,0.0017175815],"category_scores_gemma":[0.002208603,0.00029627216,0.0004884092,0.0010852354,0.00053686375,0.0011438085,0.00058282586,0.0006093302,0.00018588534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036652058,0.000014736427,0.00045809592,0.0000417235,0.000013806425,0.000055151067,0.000016777032,0.9752897,0.0010777012,0.007893508,0.00039899215,0.014703145],"study_design_scores_gemma":[0.000003741309,0.000026493888,0.00015577459,0.0000066765288,0.000012471292,0.000033195527,0.000017391512,0.9929997,0.0005904918,0.005377825,0.0007720161,0.0000042056163],"about_ca_topic_score_codex":0.007406049,"about_ca_topic_score_gemma":0.0076933247,"teacher_disagreement_score":0.007406049,"about_ca_system_score_codex":0.0010811322,"about_ca_system_score_gemma":0.00075125054,"threshold_uncertainty_score":0.014725924},"labels":[],"label_agreement":null},{"id":"W4401321302","doi":"10.3390/en17153861","title":"An Improved Cascaded Boost Converter with an Ultra-High Voltage Gain Suitable for Dielectric Quality Tests","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Electrical engineering; Boost converter; Capacitor; Voltage; Inductor; Voltage divider; Ripple; High voltage; Electronic engineering; Engineering; Materials science","score_opus":0.01012193741182153,"score_gpt":0.25708492449193904,"score_spread":0.24696298708011752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401321302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15427914,0.0017192132,0.78996986,0.0004102393,0.0005274831,0.0003687873,0.0002578597,0.0039612353,0.048506238],"genre_scores_gemma":[0.8949877,0.00053490966,0.09465513,0.00022248391,0.00014220786,0.00008941591,0.0001815042,0.00006520239,0.009121393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969256,0.000029165294,0.000017551096,0.00007503347,0.00014778596,0.00003800898],"domain_scores_gemma":[0.9998672,0.000013828601,0.000011118494,0.000024725843,0.00006805917,0.00001505651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022767787,0.0003960927,0.00052600156,0.0005084513,0.00033949528,0.0006998629,0.001113698,0.0004325527,0.0039539873],"category_scores_gemma":[0.00022924406,0.00023953973,0.0004721259,0.0006718481,0.00016455472,0.0007800712,0.00034397963,0.0006594251,0.0014500072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005437464,0.00033602034,0.0013545791,0.00067246216,0.000097981574,0.0008505706,0.00020167998,0.01043174,0.70769954,0.013393068,0.0048755016,0.2595432],"study_design_scores_gemma":[0.00032658924,0.0017297245,0.005341653,0.000112892274,0.00032835908,0.0061869365,0.0001083587,0.37402266,0.53524643,0.008399061,0.068050236,0.00014711801],"about_ca_topic_score_codex":0.00045867416,"about_ca_topic_score_gemma":0.00074163947,"teacher_disagreement_score":0.0039539873,"about_ca_system_score_codex":0.00036855327,"about_ca_system_score_gemma":0.0003859793,"threshold_uncertainty_score":0.013227403},"labels":[],"label_agreement":null},{"id":"W4401548678","doi":"10.3390/en17164001","title":"The Role of Solar Concentrators in Photocatalytic Wastewater Treatment","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"TiO2 Photocatalysis and Solar Cells","field":"Energy","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":"Université Laval","funders":"","keywords":"Photocatalysis; Wastewater; Waste management; Environmental science; Materials science; Solar energy; Sewage treatment; Environmental engineering; Engineering; Chemistry; Electrical engineering","score_opus":0.006476248342407748,"score_gpt":0.2169217346780449,"score_spread":0.21044548633563714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401548678","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032765035,0.9106334,0.023892263,0.002193808,0.0005042114,0.000039222923,0.000045937482,0.00014529287,0.029780922],"genre_scores_gemma":[0.266128,0.7097482,0.013543203,0.00074715744,0.0005081082,0.000042487223,0.00004518516,0.00003976575,0.009197786],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970716,0.00006043139,0.000011579822,0.00006792456,0.00012116995,0.000031698637],"domain_scores_gemma":[0.9998554,0.000067558736,0.000017269713,0.000008965135,0.000042063108,0.000008709335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052117556,0.00044503657,0.00051120453,0.00056971377,0.00039414913,0.0011501461,0.0005950556,0.00094810856,0.0008773332],"category_scores_gemma":[0.00031959734,0.00029792977,0.00037152937,0.00068949687,0.00064374175,0.0010389605,0.00054469774,0.001210223,0.0005924231],"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":[0.000116143354,0.00018352774,0.0010455764,0.0062270486,0.00015026942,0.0006978441,0.00032317688,0.0058113257,0.36863518,0.05839,0.0065739513,0.55184597],"study_design_scores_gemma":[0.000025216998,0.0009109922,0.0023347326,0.0010221289,0.00016456506,0.0022353544,0.00037383087,0.008589013,0.4261413,0.023877572,0.534229,0.0000963152],"about_ca_topic_score_codex":0.00054030947,"about_ca_topic_score_gemma":0.0006923038,"teacher_disagreement_score":0.0011501461,"about_ca_system_score_codex":0.0006652343,"about_ca_system_score_gemma":0.00030702888,"threshold_uncertainty_score":0.0048266053},"labels":[],"label_agreement":null},{"id":"W4401634828","doi":"10.3390/en17164083","title":"Open-Source Internet of Things-Based Supervisory Control and Data Acquisition System for Photovoltaic Monitoring and Control Using HTTP and TCP/IP Protocols","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"The Internet; Computer science; Open source; Internet Protocol; Supervisory control; Internet protocol suite; Photovoltaic system; Data acquisition; Transmission Control Protocol; Computer network; SCADA; Control (management); Communications protocol; Embedded system; Real-time computing; Operating system; Engineering; Electrical engineering","score_opus":0.05503936873968697,"score_gpt":0.31880733538371714,"score_spread":0.2637679666440302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401634828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09044682,0.00036553908,0.8205957,0.00018215137,0.00024537038,0.00082007097,0.0013032088,0.048645046,0.03739614],"genre_scores_gemma":[0.8426155,0.0002934245,0.12312565,0.0002166432,0.00006291295,0.00077178254,0.0031525358,0.0010748873,0.028686738],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995844,0.000039138158,0.000029240586,0.00007042712,0.00022797723,0.000048953127],"domain_scores_gemma":[0.9995338,0.00006841254,0.000059299862,0.00009516428,0.00021730059,0.000025991023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035155672,0.00050888164,0.00028765024,0.0005751462,0.0004254433,0.00042190676,0.0009871188,0.00037667272,0.0067009106],"category_scores_gemma":[0.00065243524,0.00019847846,0.00022038016,0.00043203984,0.0002210715,0.00075390976,0.0006497255,0.00041690184,0.0023060925],"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":[0.0012017755,0.0007937705,0.010521257,0.0008433549,0.00014252654,0.0019459976,0.0007650458,0.017526163,0.21872424,0.009727733,0.038143676,0.69966453],"study_design_scores_gemma":[0.0005618981,0.0014381815,0.03406871,0.00022309653,0.00022147862,0.0034938161,0.00046572977,0.34315607,0.34280556,0.007990183,0.26528615,0.00028907755],"about_ca_topic_score_codex":0.0010751812,"about_ca_topic_score_gemma":0.0015373228,"teacher_disagreement_score":0.0067009106,"about_ca_system_score_codex":0.00027808663,"about_ca_system_score_gemma":0.000494533,"threshold_uncertainty_score":0.02241677},"labels":[],"label_agreement":null},{"id":"W4401639746","doi":"10.3390/en17164075","title":"Optimizing Virtual Power Plant Management: A Novel MILP Algorithm to Minimize Levelized Cost of Energy, Technical Losses, and Greenhouse Gas Emissions","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Cost of electricity by source; Greenhouse gas; Power station; Environmental science; Energy (signal processing); Computer science; Greenhouse; Power (physics); Process engineering; Electricity generation; Environmental economics; Algorithm; Mathematical optimization; Engineering; Electrical engineering; Mathematics; Economics; Agronomy; Physics","score_opus":0.010701307141175474,"score_gpt":0.21659769687893632,"score_spread":0.20589638973776084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401639746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016107127,0.00020624229,0.9774425,0.0002193644,0.00004629628,0.00006597295,0.0000635707,0.00030246112,0.005546409],"genre_scores_gemma":[0.6803273,0.00025786564,0.314157,0.00017943697,0.0000659192,0.0002879291,0.00020796224,0.00012320002,0.004393442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996842,0.00011607679,0.000010951266,0.000058613685,0.00007556301,0.000054593907],"domain_scores_gemma":[0.999622,0.00022119175,0.00005267968,0.000015095745,0.00006116763,0.000027870221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007447372,0.0012208843,0.0010055159,0.0005557514,0.00045764365,0.001196391,0.001081585,0.0011448899,0.0024452077],"category_scores_gemma":[0.0011572366,0.0004944472,0.00057531486,0.0006486158,0.00063218566,0.0008472989,0.0009400925,0.0010672102,0.00033327306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023900326,0.000017178088,0.00009489017,0.000017330065,0.000011397581,0.000021616044,0.0000107919905,0.9893968,0.00036564693,0.00179156,0.0004046414,0.00784425],"study_design_scores_gemma":[0.0000049469336,0.000009227372,0.000011279314,0.0000015924194,0.0000019067162,0.0000026910918,0.0000028704774,0.999102,0.00009510684,0.00061747927,0.00014973128,0.0000011969513],"about_ca_topic_score_codex":0.0041151377,"about_ca_topic_score_gemma":0.003939694,"teacher_disagreement_score":0.0041151377,"about_ca_system_score_codex":0.00071937393,"about_ca_system_score_gemma":0.0012905606,"threshold_uncertainty_score":0.008182347},"labels":[],"label_agreement":null},{"id":"W4401645683","doi":"10.3390/en17164059","title":"A Review of Hydrogen Leak Detection Regulations and Technologies","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Office of Energy Research and Development; Natural Resources Canada; National Research Council Canada","keywords":"Leak; Leak detection; Risk analysis (engineering); Business; Computer science; Environmental science; Engineering; Environmental engineering","score_opus":0.01983112006446955,"score_gpt":0.2627951068650693,"score_spread":0.24296398680059975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401645683","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":[0.0005627126,0.9911288,0.0010219982,0.00063633325,0.00031564158,0.000029259898,0.00022456808,0.000036478625,0.0060442546],"genre_scores_gemma":[0.0016798398,0.9958254,0.00084435317,0.00026067306,0.00011271487,0.000023353025,0.0001678044,0.0000063183516,0.0010795883],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992711,0.000109496905,0.00012180398,0.000119823795,0.00032155224,0.000056183908],"domain_scores_gemma":[0.9990715,0.00046551984,0.00015074955,0.000035878555,0.00024532812,0.000031022744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011394747,0.0011391237,0.0011629963,0.0037801887,0.0005116901,0.0014733787,0.0011586407,0.0011747887,0.006013728],"category_scores_gemma":[0.0017404908,0.0005339638,0.0009941369,0.0036282819,0.00046675483,0.0019976357,0.0007568521,0.0012992376,0.0026942294],"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":[0.000072427734,0.00014257358,0.00039071738,0.10131194,0.00016559626,0.00035299856,0.0002382379,0.001273346,0.00785535,0.021042304,0.04417715,0.8229774],"study_design_scores_gemma":[0.0000036342062,0.000072897376,0.00042608485,0.0074065058,0.00012359151,0.00033194822,0.000073734445,0.00010194702,0.0015048004,0.0020188668,0.98791426,0.00002173873],"about_ca_topic_score_codex":0.0019273657,"about_ca_topic_score_gemma":0.0024833928,"teacher_disagreement_score":0.006013728,"about_ca_system_score_codex":0.0008373564,"about_ca_system_score_gemma":0.0028784478,"threshold_uncertainty_score":0.020117879},"labels":[],"label_agreement":null},{"id":"W4401685987","doi":"10.3390/en17164109","title":"The Economics of Electric Vehicles with Application to Electricity Grids","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trinity Western University; University of Victoria; Western University","funders":"University of Victoria","keywords":"Electricity; Environmental economics; Automotive engineering; Economics; Environmental science; Engineering; Electrical engineering","score_opus":0.002039131777596982,"score_gpt":0.17120497295839607,"score_spread":0.16916584118079908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401685987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5981923,0.007823542,0.017410181,0.009309715,0.00017676769,0.000086319924,0.0011935865,0.000058366004,0.3657492],"genre_scores_gemma":[0.9838383,0.0021790764,0.00068629446,0.00012024281,0.000025143427,0.000008195911,0.000114679286,0.000007144211,0.0130209355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971455,0.000084524516,0.000004473573,0.000020066818,0.00010348627,0.00007290952],"domain_scores_gemma":[0.99931073,0.00033430677,0.00007907444,0.000027518518,0.00018771485,0.00006060437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918989,0.00019909331,0.0001329486,0.00043238286,0.00047268454,0.001608491,0.00037919168,0.00046615812,0.0062445984],"category_scores_gemma":[0.0022839874,0.0001439371,0.00021183728,0.000998129,0.0009903574,0.0008831527,0.00035720892,0.0004902205,0.0001966394],"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":[0.000083211155,0.000071338596,0.030815518,0.00008188173,0.00005561156,0.00040073445,0.00011194744,0.37081134,0.00053839287,0.55563015,0.010948268,0.030451592],"study_design_scores_gemma":[0.000066304594,0.00018069772,0.092770405,0.000249214,0.000111577596,0.00051979366,0.002280284,0.42977887,0.0013806545,0.30025026,0.17230932,0.00010269349],"about_ca_topic_score_codex":0.29046017,"about_ca_topic_score_gemma":0.32678893,"teacher_disagreement_score":0.29046017,"about_ca_system_score_codex":0.0076605333,"about_ca_system_score_gemma":0.003646266,"threshold_uncertainty_score":0.57753897},"labels":[],"label_agreement":null},{"id":"W4401686017","doi":"10.3390/en17164107","title":"A Binary Expansion Approach for the Water Pump Scheduling Problem in Large and High-Altitude Water Supply Systems","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Agencia Nacional de Investigación y Desarrollo","keywords":"Desalination; Water supply; Mathematical optimization; Computer science; Scheduling (production processes); Time horizon; Process engineering; Environmental science; Engineering; Environmental engineering; Mathematics","score_opus":0.007579757625632265,"score_gpt":0.19031669037343632,"score_spread":0.18273693274780406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401686017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013474501,0.00036009145,0.97932565,0.00034621847,0.000058123802,0.00006186792,0.00007853252,0.00009962666,0.006195407],"genre_scores_gemma":[0.50443685,0.00087031105,0.48247534,0.0004131051,0.00016317508,0.0004741125,0.0003303062,0.00017366518,0.010663107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947983,0.00022844938,0.000016189391,0.0000708204,0.0001341799,0.00007051606],"domain_scores_gemma":[0.9987545,0.0009634848,0.00009702051,0.000027498007,0.00010517265,0.000052348925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011051607,0.00082589005,0.0009430121,0.0004763746,0.0004547531,0.00083218096,0.001045995,0.0011815773,0.0051176124],"category_scores_gemma":[0.0028307713,0.00053778157,0.000651272,0.0008427102,0.00071617065,0.0013476074,0.0009360219,0.0018819566,0.00048477165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003452061,0.000031032527,0.00018057777,0.000075432596,0.000009062385,0.000058403868,0.00003792628,0.9695388,0.00069670705,0.016010752,0.0008141261,0.012512611],"study_design_scores_gemma":[0.0000081633625,0.00000806598,0.00004305655,0.0000057243783,0.0000020513583,0.000006474124,0.000007940482,0.9963574,0.000096726384,0.003071012,0.00039116436,0.0000022332276],"about_ca_topic_score_codex":0.0073245433,"about_ca_topic_score_gemma":0.0067276144,"teacher_disagreement_score":0.0073245433,"about_ca_system_score_codex":0.0009945713,"about_ca_system_score_gemma":0.0011852313,"threshold_uncertainty_score":0.017120183},"labels":[],"label_agreement":null},{"id":"W4401698253","doi":"10.3390/en17164128","title":"A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Renewable energy; SCADA; Computer science; Systems engineering; Engineering; Sustainability; Environmental economics; Electrical engineering","score_opus":0.013196481047274255,"score_gpt":0.25242176688229373,"score_spread":0.23922528583501948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401698253","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":[0.0002308182,0.9954275,0.0005669727,0.0004493193,0.00031568675,0.000010501897,0.00006533453,0.000018329385,0.0029154583],"genre_scores_gemma":[0.001027621,0.99720013,0.0005359496,0.0002264919,0.00018653118,0.000008472586,0.000065560074,0.000003342663,0.0007459365],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996923,0.000050529332,0.000055359455,0.00005014816,0.0001277341,0.000023905704],"domain_scores_gemma":[0.9992138,0.00043288237,0.00010018356,0.000025976658,0.00019264498,0.000034532295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005975734,0.0009451894,0.0011200384,0.0028879617,0.0002865627,0.0011435394,0.0006388303,0.0009788027,0.006235163],"category_scores_gemma":[0.0011276959,0.00034691492,0.00073703163,0.0043372046,0.00028124783,0.0017959183,0.00053179625,0.0012402772,0.0021048116],"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":[0.00004921029,0.00007682659,0.00021886984,0.055741876,0.00012208948,0.00018102567,0.000116713214,0.0010770465,0.0027879877,0.01023543,0.04485606,0.884537],"study_design_scores_gemma":[0.000005124236,0.00008239734,0.0006487886,0.008434132,0.00014574117,0.00045937303,0.000073373754,0.00019243358,0.00045423684,0.0028250953,0.9866583,0.000020960135],"about_ca_topic_score_codex":0.0011393027,"about_ca_topic_score_gemma":0.0021512255,"teacher_disagreement_score":0.006235163,"about_ca_system_score_codex":0.0005198125,"about_ca_system_score_gemma":0.0017782908,"threshold_uncertainty_score":0.020858645},"labels":[],"label_agreement":null},{"id":"W4401731684","doi":"10.3390/en17164189","title":"Multiparametric Methods for Rapid Classification of Diesel Fuel Quality Used in Automotive Engine Systems","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Instrumentation (computer programming); Diesel fuel; Automotive industry; Quality (philosophy); Computer science; Diesel engine; Automotive engineering; Point (geometry); Process engineering; Engineering; Mathematics","score_opus":0.07317163365390938,"score_gpt":0.40023772086943965,"score_spread":0.32706608721553027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401731684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022514753,0.10939111,0.8579966,0.0006210879,0.00041041189,0.0002820359,0.0012955057,0.0011849975,0.0063035595],"genre_scores_gemma":[0.32997236,0.07474819,0.58300424,0.0012442991,0.0011676986,0.0009050013,0.0019492506,0.00040252478,0.0066064475],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974269,0.00074017636,0.00019694376,0.0006198337,0.0009211894,0.000094982075],"domain_scores_gemma":[0.99692047,0.0016564354,0.0006010083,0.0002482204,0.00051849254,0.000055453853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033679537,0.0012404786,0.0011647125,0.0053795953,0.00029672304,0.0017655839,0.0011008935,0.001291818,0.0020358532],"category_scores_gemma":[0.0053171613,0.0005535555,0.0011919985,0.0032555815,0.0008041411,0.0012384629,0.0010602969,0.0015358273,0.0013583661],"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":[0.0004210427,0.00026860958,0.018588338,0.005924334,0.00076613,0.00039179495,0.00040495687,0.0074600764,0.12365044,0.010252085,0.008200869,0.8236714],"study_design_scores_gemma":[0.00015206207,0.0014339479,0.114292145,0.00307465,0.0027288278,0.009257652,0.0010232559,0.18851769,0.38309154,0.05322367,0.24215448,0.001050026],"about_ca_topic_score_codex":0.0006217222,"about_ca_topic_score_gemma":0.0009494572,"teacher_disagreement_score":0.0053795953,"about_ca_system_score_codex":0.00052606047,"about_ca_system_score_gemma":0.00048046847,"threshold_uncertainty_score":0.017811716},"labels":[],"label_agreement":null},{"id":"W4401792894","doi":"10.3390/en17164165","title":"Thermostratigraphic and Heat Flow Assessment of the South Slave Region in the Northwest Territories, Canada","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Northwest Territories; Institut National de la Recherche Scientifique","funders":"","keywords":"Heat flow; Flow (mathematics); Environmental science; Geography; Meteorology; Mechanics; Thermal; Physics","score_opus":0.006829154894243676,"score_gpt":0.19740420680585705,"score_spread":0.19057505191161336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401792894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976361,0.00004104219,0.00020935101,0.000012405664,7.3292784e-7,0.000009590607,0.00061529456,0.000010243887,0.0014652787],"genre_scores_gemma":[0.99836665,0.00005578138,0.00044598282,0.0000027845347,3.2989166e-7,0.0000048859483,0.00037383585,0.0000033783351,0.0007463459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999411,0.0000027570811,0.0000025427873,0.000011480851,0.000024885987,0.000017249713],"domain_scores_gemma":[0.9999063,0.000008664014,0.000011468501,0.0000047042267,0.00005200878,0.000016940181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007912883,0.00014475937,0.00012848254,0.0009423722,0.00080584164,0.00055030704,0.00026531427,0.0001351213,0.00080678676],"category_scores_gemma":[0.0002191606,0.00012859433,0.00015625032,0.0013999536,0.0003185767,0.00015397675,0.00022918986,0.00014444665,0.00010010561],"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":[0.000120755096,0.00006446866,0.9459729,0.000053650863,0.00004055453,0.00051502424,0.0016328903,0.0140188085,0.012371202,0.0006461247,0.00069290504,0.023870632],"study_design_scores_gemma":[0.0000056067342,0.0000132354135,0.9798395,0.000012426646,0.000008783519,0.00006563428,0.0012286541,0.016031142,0.0015163643,0.000037635964,0.0012304715,0.000010566573],"about_ca_topic_score_codex":0.9654518,"about_ca_topic_score_gemma":0.9874765,"teacher_disagreement_score":0.034548223,"about_ca_system_score_codex":0.004618437,"about_ca_system_score_gemma":0.0052414318,"threshold_uncertainty_score":0.06950331},"labels":[],"label_agreement":null},{"id":"W4401887883","doi":"10.3390/en17174258","title":"Dual Active Bridge Converter with Interleaved and Parallel Operation for Electric Vehicle Charging","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced DC-DC Converters","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":"Memorial University of Newfoundland","funders":"","keywords":"Electric vehicle; Dual (grammatical number); Electrical engineering; Automotive engineering; Computer science; Bridge (graph theory); Engineering; Physics; Power (physics)","score_opus":0.00790549966240192,"score_gpt":0.21459057389037972,"score_spread":0.2066850742279778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401887883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09620457,0.00086684985,0.8716694,0.0001418995,0.000121226396,0.00014090189,0.00006148771,0.000690607,0.030103046],"genre_scores_gemma":[0.8988515,0.0005065994,0.09069914,0.000055056043,0.000024223931,0.000090674635,0.00009219484,0.000078947814,0.009601606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982685,0.00002031364,0.000008141998,0.000019458272,0.000103921404,0.000021405653],"domain_scores_gemma":[0.99993384,0.000008792826,0.000009543394,0.000007994652,0.000032964028,0.0000067750543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020886955,0.00033701787,0.00028693833,0.00032283145,0.0001880196,0.0006279267,0.00069867034,0.00025337175,0.002572627],"category_scores_gemma":[0.00022299543,0.00017128827,0.0002178911,0.00029343355,0.00013377696,0.0005380374,0.000286309,0.00045415526,0.0009860458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035130547,0.0003702609,0.0013246124,0.0004892569,0.00006367305,0.0003217125,0.0001406206,0.05315587,0.55491155,0.03219952,0.0029245766,0.35374698],"study_design_scores_gemma":[0.00012261851,0.00081564195,0.0010814243,0.00006839962,0.00006955386,0.0011994736,0.00010301279,0.54967624,0.3742409,0.009678434,0.06288938,0.000054967193],"about_ca_topic_score_codex":0.00022607477,"about_ca_topic_score_gemma":0.00053689827,"teacher_disagreement_score":0.002572627,"about_ca_system_score_codex":0.00026562685,"about_ca_system_score_gemma":0.0003091331,"threshold_uncertainty_score":0.008606315},"labels":[],"label_agreement":null},{"id":"W4401891912","doi":"10.3390/en17174246","title":"Experimental Study of Kinetic to Thermal Energy Conversion with Fluid Agitation for a Wind-Powered Heat Generator","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Materials science; Working fluid; Kinetic energy; Mechanics; Thermal energy; Turbine; Rotational speed; Thermodynamics; Mechanical engineering; Physics; Engineering; Classical mechanics","score_opus":0.008498241103135892,"score_gpt":0.22064948870885023,"score_spread":0.21215124760571435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401891912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801732,0.00050692935,0.01728075,0.0001040376,0.000086640146,0.00018609107,0.00012862512,0.00018367643,0.0013501687],"genre_scores_gemma":[0.98537165,0.00027181717,0.013101032,0.000029763714,0.000024057024,0.00013013218,0.000087464825,0.000027261662,0.0009567107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941766,0.00008972084,0.00004931854,0.00011959967,0.00025295647,0.00007080729],"domain_scores_gemma":[0.9993754,0.0002025773,0.00013314186,0.000068386114,0.00016863018,0.00005186129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071065786,0.0006040386,0.00050027674,0.00030357076,0.0004446683,0.00040817852,0.0005380394,0.0006229737,0.00092849944],"category_scores_gemma":[0.000958254,0.00022584424,0.00029096144,0.00034149666,0.00055963785,0.0006158832,0.00033697128,0.0006387441,0.0002803184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021278419,0.00017486233,0.0006540247,0.00020156648,0.0000062383247,0.00015828981,0.00009960561,0.00071846077,0.9924305,0.00026022474,0.0001251495,0.004958166],"study_design_scores_gemma":[0.000030153979,0.00084019714,0.0015378756,0.000007739959,0.000009960166,0.00006928167,0.000044631553,0.0053096777,0.9907197,0.000052686508,0.0013630445,0.000015093037],"about_ca_topic_score_codex":0.0002584311,"about_ca_topic_score_gemma":0.00029558688,"teacher_disagreement_score":0.00092849944,"about_ca_system_score_codex":0.0002920924,"about_ca_system_score_gemma":0.00027426583,"threshold_uncertainty_score":0.0037583113},"labels":[],"label_agreement":null},{"id":"W4401893795","doi":"10.3390/en17174238","title":"Renewable Energy Transition and the Paris Agreement: How Governance Quality Makes a Difference?","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École Nationale d'Administration Publique; Université de Hearst; Université du Québec à Montréal","funders":"","keywords":"Renewable energy; Energy transition; Corporate governance; Agreement; Quality (philosophy); Transition (genetics); Energy (signal processing); Environmental economics; Business; Political science; Economics; Physics; Chemistry; Engineering; Electrical engineering; Quantum mechanics","score_opus":0.018519190941502277,"score_gpt":0.19541894715717661,"score_spread":0.17689975621567433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401893795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436426,0.0015892487,0.0043226425,0.0087120235,0.00013040347,0.000051357623,0.0004653354,0.00005745772,0.04102892],"genre_scores_gemma":[0.9982003,0.00015471797,0.00014359859,0.0002314371,0.000034949306,0.000007919577,0.0000945368,0.000005351565,0.0011271026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980338,0.0007788651,0.00010563637,0.00022074493,0.00037505562,0.00048587445],"domain_scores_gemma":[0.9881032,0.004060182,0.0054105697,0.00047252956,0.000836904,0.0011165304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033574225,0.0001373904,0.00035473044,0.00080593466,0.0005672538,0.0033348477,0.00032184838,0.0006140671,0.006604891],"category_scores_gemma":[0.01068574,0.00009496994,0.00034683474,0.0013131122,0.0015240475,0.0019239913,0.001337889,0.0010443013,0.00037161584],"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":[0.00035880783,0.00035358814,0.74033463,0.00017149487,0.00036872833,0.0006912552,0.002103532,0.0140356645,0.0006871309,0.18659323,0.0064794216,0.04782256],"study_design_scores_gemma":[0.00011290397,0.00028601327,0.9232689,0.00020864022,0.0001449677,0.00010982234,0.0058975536,0.0071548885,0.0010364491,0.031512298,0.030206693,0.000060784332],"about_ca_topic_score_codex":0.011445353,"about_ca_topic_score_gemma":0.012319861,"teacher_disagreement_score":0.011445353,"about_ca_system_score_codex":0.0019614422,"about_ca_system_score_gemma":0.0014754379,"threshold_uncertainty_score":0.02275747},"labels":[],"label_agreement":null},{"id":"W4401926279","doi":"10.3390/en17174275","title":"Convection Heat Transfer and Performance Analysis of a Triply Periodic Minimal Surface (TPMS) for a Novel Heat Exchanger","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Heat exchanger; Heat transfer; Convection; Plate fin heat exchanger; Convective heat transfer; Materials science; Mechanics; Surface (topology); Thermodynamics; Plate heat exchanger; Physics; Mathematics; Geometry","score_opus":0.012947104700539332,"score_gpt":0.21729097709687517,"score_spread":0.20434387239633583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401926279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933588,0.00016244265,0.0060758796,0.000013111615,0.0000051739303,0.0000054048032,0.000021462205,0.000029699866,0.00032796766],"genre_scores_gemma":[0.9972331,0.000039946968,0.0025268884,0.0000010809385,0.0000010306511,0.000005256193,0.000018238996,0.0000019949307,0.00017244957],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999294,0.0000075101043,0.0000029044909,0.000013796896,0.000036839756,0.000009590119],"domain_scores_gemma":[0.9999,0.00003734172,0.000022958096,0.0000108308695,0.000020444315,0.000008298932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015108314,0.00015511853,0.0001428558,0.00016689178,0.00010632216,0.00017617896,0.00015256366,0.0001940734,0.00045307816],"category_scores_gemma":[0.00022415868,0.00007408634,0.0001760797,0.00011492898,0.00019815775,0.00018201882,0.000113598406,0.0001206195,0.00007919519],"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":[0.00011960231,0.000039950617,0.0017125077,0.00010932963,0.00000714752,0.000059180056,0.000050578175,0.015062928,0.97385514,0.00062068604,0.00009490148,0.008268106],"study_design_scores_gemma":[0.000018893941,0.0009225153,0.010322798,0.0000065270433,0.000013142858,0.00013853687,0.000049262337,0.2901008,0.69680727,0.00017192871,0.0014300055,0.00001837917],"about_ca_topic_score_codex":0.0003811747,"about_ca_topic_score_gemma":0.00043104292,"teacher_disagreement_score":0.00045307816,"about_ca_system_score_codex":0.00014876158,"about_ca_system_score_gemma":0.00012926127,"threshold_uncertainty_score":0.0015157461},"labels":[],"label_agreement":null},{"id":"W4402169432","doi":"10.3390/en17174425","title":"Positive Energy Districts: Fundamentals, Assessment Methodologies, Modeling and Research Gaps","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; Canada Excellence Research Chairs, Government of Canada; European Commission","keywords":"Environmental science; Engineering","score_opus":0.05907727620900595,"score_gpt":0.3516690659437426,"score_spread":0.29259178973473665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402169432","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027891863,0.10621471,0.77840346,0.013513883,0.00082030124,0.00087777985,0.0012018074,0.0006315749,0.07044466],"genre_scores_gemma":[0.51781785,0.15021469,0.31515962,0.0011490508,0.00095637876,0.0021096864,0.0014780109,0.0003503154,0.0107644545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99254507,0.004145778,0.00049738714,0.00093589077,0.0014361324,0.00043969208],"domain_scores_gemma":[0.98565835,0.010085221,0.001008273,0.001004298,0.0019159915,0.00032791385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012437489,0.001318727,0.001365006,0.0059708734,0.0010295754,0.011359867,0.0039842734,0.0027376385,0.0044795214],"category_scores_gemma":[0.015874023,0.001247157,0.00076463766,0.00899983,0.0043037646,0.011764529,0.004408673,0.0029559627,0.0018334368],"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":[0.00005019353,0.00032844936,0.0063053225,0.0047781835,0.000066520035,0.00025098305,0.0030458742,0.05453612,0.000680388,0.6491204,0.0074038603,0.2734337],"study_design_scores_gemma":[0.000018951456,0.0001963613,0.0058909864,0.006991317,0.00006215123,0.0006030871,0.011922627,0.09024592,0.0024070097,0.60644615,0.27500328,0.00021220556],"about_ca_topic_score_codex":0.0036666759,"about_ca_topic_score_gemma":0.0022331688,"teacher_disagreement_score":0.012437489,"about_ca_system_score_codex":0.0040128273,"about_ca_system_score_gemma":0.0053508338,"threshold_uncertainty_score":0.06577653},"labels":[],"label_agreement":null},{"id":"W4402200217","doi":"10.3390/en17174405","title":"Passive Islanding Detection of Inverter-Based Resources in a Noisy Environment","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Università degli Studi di Firenze; Office of Energy Efficiency; Division of Electrical, Communications and Cyber Systems; Manitoba Hydro; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; National Science Foundation","keywords":"Islanding; Inverter; Computer science; Electronic engineering; Electrical engineering; Distributed generation; Engineering; Voltage; Renewable energy","score_opus":0.00436721629732611,"score_gpt":0.17504848463493772,"score_spread":0.1706812683376116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402200217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8445572,0.0001136531,0.15131155,0.00006567539,0.000043041364,0.00005784402,0.00009359813,0.00078223523,0.0029751637],"genre_scores_gemma":[0.9887327,0.000042653035,0.010618473,0.00001898178,0.0000064716287,0.00001983698,0.000034071505,0.00001883275,0.0005080313],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998066,0.000028696719,0.000007741832,0.00005510871,0.000077880744,0.000024017674],"domain_scores_gemma":[0.999752,0.000077848126,0.000043149794,0.000040647585,0.00007063395,0.000015696154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592617,0.00024730855,0.00027783038,0.00028129504,0.00018435814,0.00032825893,0.0005164694,0.00028833197,0.00079550245],"category_scores_gemma":[0.00064206804,0.000104604806,0.000118172014,0.00022373229,0.0002411093,0.0005868043,0.0002650205,0.00020487851,0.00020485626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005149026,0.0001940433,0.0118475435,0.00023758637,0.000045551893,0.0007058782,0.00037164157,0.010453785,0.8619108,0.0011129146,0.00060324447,0.11200218],"study_design_scores_gemma":[0.000060338265,0.001104556,0.030144252,0.000036821344,0.00007113838,0.00073640654,0.0003608046,0.34742835,0.61608434,0.0011870879,0.0027426877,0.000043153897],"about_ca_topic_score_codex":0.0005580412,"about_ca_topic_score_gemma":0.0006237972,"teacher_disagreement_score":0.00079550245,"about_ca_system_score_codex":0.0001702728,"about_ca_system_score_gemma":0.000098164914,"threshold_uncertainty_score":0.0026612282},"labels":[],"label_agreement":null},{"id":"W4402277154","doi":"10.3390/en17174457","title":"Short-Term Campus Load Forecasting Using CNN-Based Encoder–Decoder Network with Attention","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Term (time); Encoder; Computer science; Real-time computing; Artificial intelligence","score_opus":0.02056230892530006,"score_gpt":0.22412519987706744,"score_spread":0.20356289095176738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402277154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34262368,0.002906656,0.6301078,0.001377122,0.0006058811,0.00011596629,0.001303099,0.0071673174,0.013792509],"genre_scores_gemma":[0.9489639,0.00045898667,0.042553723,0.00021802896,0.000077583674,0.00005297583,0.0011938384,0.00006786492,0.0064130905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999863,0.000013094575,0.000007862123,0.000049998645,0.000029272345,0.000036616893],"domain_scores_gemma":[0.99973935,0.00009525741,0.000025895066,0.00002325535,0.000098627665,0.000017586266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032750468,0.0009795864,0.00054620596,0.00039147318,0.000292069,0.00056099327,0.0009703694,0.00075327815,0.0019556307],"category_scores_gemma":[0.0008912545,0.00036160988,0.0004973903,0.00046821937,0.00020334436,0.0010507005,0.0004970017,0.0011537501,0.0006436786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026292814,0.00019354963,0.0029541487,0.00006903864,0.00010360202,0.00017613785,0.000040938736,0.7117877,0.009879026,0.0014811892,0.004425988,0.26862577],"study_design_scores_gemma":[0.0000026297957,0.00001413424,0.00019441171,0.0000023770804,0.0000070864594,0.000007684587,0.0000025595082,0.9982058,0.0011427889,0.0002645119,0.00015311301,0.000002951195],"about_ca_topic_score_codex":0.03534303,"about_ca_topic_score_gemma":0.041973155,"teacher_disagreement_score":0.03534303,"about_ca_system_score_codex":0.0010475029,"about_ca_system_score_gemma":0.0009045718,"threshold_uncertainty_score":0.07027459},"labels":[],"label_agreement":null},{"id":"W4402376941","doi":"10.3390/en17174511","title":"Breaking the CO2 Gridlock: Can Renewables Lead the Way for the OECD?","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Fujian University of Technology","keywords":"Gridlock; Lead (geology); Renewable energy; Natural resource economics; Business; Economics; Environmental economics; Engineering; Political science; Politics; Geology; Electrical engineering","score_opus":0.09185693052506955,"score_gpt":0.2583201491477172,"score_spread":0.16646321862264768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402376941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6490267,0.023713978,0.004408543,0.193137,0.0009645631,0.000040823576,0.00441633,0.00019520559,0.124096766],"genre_scores_gemma":[0.98410285,0.0086359475,0.0006850869,0.0030401738,0.00018309309,0.000016341395,0.0006620539,0.000027812262,0.0026466465],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999572,0.00014255094,0.000015216313,0.00004644532,0.000103471124,0.00012029767],"domain_scores_gemma":[0.9985663,0.0003945325,0.0004709716,0.00011470606,0.0002939689,0.00015948218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012153265,0.0002948576,0.00031213515,0.00074306957,0.0004455082,0.0025532478,0.00030347527,0.00063452625,0.0034764297],"category_scores_gemma":[0.004755893,0.000058084956,0.0003542232,0.0021817582,0.0010559085,0.0025609976,0.0008583594,0.0009246653,0.0003909177],"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":[0.00040248645,0.00017701679,0.4248825,0.0005538032,0.00038036902,0.0016221766,0.0017526534,0.02251312,0.00072212925,0.22014746,0.069350086,0.2574963],"study_design_scores_gemma":[0.00006242382,0.00016920285,0.46640798,0.0013631854,0.00030115683,0.00028780533,0.016905645,0.013702378,0.0028176887,0.13857089,0.35929832,0.00011328012],"about_ca_topic_score_codex":0.05232951,"about_ca_topic_score_gemma":0.042657588,"teacher_disagreement_score":0.05232951,"about_ca_system_score_codex":0.0018374177,"about_ca_system_score_gemma":0.0023435103,"threshold_uncertainty_score":0.10404986},"labels":[],"label_agreement":null},{"id":"W4402517862","doi":"10.3390/en17184600","title":"Do Structural Transformations in the Energy Sector Help to Achieve Decarbonization? Evidence from the World’s Top Five Green Leaders","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy sector; Clean energy; Energy (signal processing); Business; Economics; Industrial organization; Environmental economics; Physics","score_opus":0.030950236713244986,"score_gpt":0.23337231289757487,"score_spread":0.2024220761843299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402517862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817007,0.001257802,0.0007405217,0.0040080715,0.00005341018,0.00001539117,0.00032191913,0.000012819177,0.0118892705],"genre_scores_gemma":[0.9989152,0.00037919273,0.000081968145,0.00017895875,0.000016359783,0.0000027620356,0.00012376218,0.0000021423032,0.00029969093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990422,0.00027242015,0.000040787272,0.00012765214,0.00018876327,0.00032813827],"domain_scores_gemma":[0.99340594,0.0019828554,0.0024193632,0.00043497566,0.0008964208,0.000860353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019458345,0.00021357251,0.00020713007,0.0009692883,0.00061205216,0.0011591475,0.00039088956,0.00049726374,0.0038077522],"category_scores_gemma":[0.0070005627,0.00011214253,0.00039743012,0.0012049255,0.0012503875,0.0016433493,0.0016064881,0.0008822146,0.0003975698],"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":[0.00039835737,0.0003346061,0.8958356,0.0003319452,0.00030418776,0.0004631253,0.0032643394,0.0028660323,0.00052695925,0.01966833,0.004550788,0.07145572],"study_design_scores_gemma":[0.000056605342,0.0002427007,0.96041155,0.00018540047,0.00016301818,0.000071428505,0.011901907,0.0020127853,0.0011515801,0.0075131212,0.016264953,0.000024925279],"about_ca_topic_score_codex":0.008600801,"about_ca_topic_score_gemma":0.01569959,"teacher_disagreement_score":0.008600801,"about_ca_system_score_codex":0.00071661,"about_ca_system_score_gemma":0.000984261,"threshold_uncertainty_score":0.017101467},"labels":[],"label_agreement":null},{"id":"W4402691284","doi":"10.3390/en17184674","title":"Engineered Biochar for Metal Recycling and Repurposed Applications","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Waste management; Environmental science; Engineering; Pyrolysis","score_opus":0.010270742984115845,"score_gpt":0.23773975755712629,"score_spread":0.22746901457301044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402691284","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18444343,0.6469087,0.1299015,0.0018423114,0.0014391706,0.00018809181,0.0008339431,0.0007743726,0.033668533],"genre_scores_gemma":[0.6073926,0.31799528,0.060409322,0.0008555961,0.00026750425,0.00010098836,0.00079765834,0.00012338662,0.012057793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997923,0.000030394558,0.00001697394,0.000038884726,0.00009090241,0.000030601965],"domain_scores_gemma":[0.9999404,0.000014244451,0.000014623904,0.0000062947875,0.000018566596,0.0000057532866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023773569,0.0004773121,0.00047901043,0.00065174664,0.00016774773,0.00058188615,0.00043061332,0.00066780817,0.0010676815],"category_scores_gemma":[0.00020501824,0.00019376924,0.0005399748,0.00050540984,0.00020493186,0.0005669038,0.00043659363,0.000687508,0.00071254617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000774644,0.00007967757,0.00050413655,0.0042047957,0.000108346496,0.0004975749,0.000057622627,0.0023759883,0.8782005,0.007902879,0.0015287943,0.10446218],"study_design_scores_gemma":[0.000021137703,0.00042639088,0.0018441188,0.0005089537,0.00019144837,0.0016178656,0.00011728322,0.004607295,0.7650334,0.004363745,0.22122492,0.00004345211],"about_ca_topic_score_codex":0.00040429528,"about_ca_topic_score_gemma":0.001194577,"teacher_disagreement_score":0.0010676815,"about_ca_system_score_codex":0.00042731094,"about_ca_system_score_gemma":0.00033090205,"threshold_uncertainty_score":0.0035716891},"labels":[],"label_agreement":null},{"id":"W4402764229","doi":"10.3390/en17194756","title":"The Possibility of Using Waste from Dye Sorption for Methane Production","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":6,"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":"Uniwersytet Warmińsko-Mazurski w Olsztynie","keywords":"Sorption; Methane; Production (economics); Waste management; Environmental science; Environmental chemistry; Chemistry; Engineering; Adsorption; Organic chemistry; Economics","score_opus":0.06478417294178387,"score_gpt":0.3335777168963249,"score_spread":0.268793543954541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402764229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900984,0.0015824425,0.0064083887,0.00008909537,0.000028161125,0.000021503152,0.00012439357,0.000036658486,0.0016108005],"genre_scores_gemma":[0.9911191,0.0009462162,0.005534783,0.000041152707,0.0000067887627,0.000012317388,0.0001938763,0.000018329274,0.0021275943],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969614,0.000056251294,0.000014555002,0.00004847574,0.00010124306,0.0000833242],"domain_scores_gemma":[0.99983394,0.000045997767,0.000032674525,0.00002095098,0.00004234051,0.00002416457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002743966,0.00051272195,0.00043198097,0.0003536978,0.00037524683,0.0007592092,0.00032065116,0.0005347507,0.0008997091],"category_scores_gemma":[0.0002857088,0.00016471546,0.00049534894,0.0004063652,0.00020138535,0.00048432432,0.00043024754,0.00041492895,0.00040779446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012466648,0.000028082062,0.0016354633,0.00009463201,0.000012116107,0.0000813349,0.000020110345,0.0001565636,0.993331,0.00006586914,0.000015907879,0.0044341544],"study_design_scores_gemma":[0.0000024905903,0.00019668175,0.002855904,0.000009002931,0.000020870708,0.00010654375,0.000061041006,0.000516503,0.9947796,0.000046790024,0.0013990987,0.0000054408006],"about_ca_topic_score_codex":0.0020005172,"about_ca_topic_score_gemma":0.0061648274,"teacher_disagreement_score":0.0020005172,"about_ca_system_score_codex":0.00032505445,"about_ca_system_score_gemma":0.00033798747,"threshold_uncertainty_score":0.003977716},"labels":[],"label_agreement":null},{"id":"W4402765644","doi":"10.3390/en17184725","title":"Total Ionizing Dose and Single-Event Effect Response of the AD524CDZ Instrumentation Amplifier","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ionizing radiation; Instrumentation (computer programming); Amplifier; Event (particle physics); Electrical engineering; Physics; Computer science; Engineering; Nuclear physics; Operating system","score_opus":0.003971215085039501,"score_gpt":0.21120030810993926,"score_spread":0.20722909302489975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402765644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890675,0.0006358579,0.0074544535,0.000113656315,0.00005477129,0.0000534991,0.00029191517,0.0003037722,0.0020243977],"genre_scores_gemma":[0.9941446,0.00024292548,0.0028524632,0.000064811866,0.000011550013,0.000022808585,0.00015163909,0.00004358032,0.0024656295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949706,0.00004416837,0.000033188393,0.00012781394,0.00022615142,0.00007157811],"domain_scores_gemma":[0.9992362,0.0002637466,0.00015179589,0.000096909695,0.00021809216,0.000033317254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000354206,0.00031077754,0.00024585985,0.00043055852,0.00019401382,0.000531762,0.0006247376,0.00056376075,0.0048627956],"category_scores_gemma":[0.0009221213,0.00017062726,0.00019355003,0.0003150453,0.00032349754,0.00040124435,0.0002914006,0.0003732364,0.0006949943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020221766,0.000022839093,0.0014858593,0.00009748002,0.000019183297,0.00007758728,0.00009058304,0.0002661683,0.9910705,0.00010270063,0.000104155886,0.006460708],"study_design_scores_gemma":[0.000007522947,0.00075859856,0.009474642,0.000008369994,0.000027228449,0.00025085759,0.00009792753,0.0014530595,0.98602945,0.000032530712,0.0018486595,0.000011104906],"about_ca_topic_score_codex":0.00032002814,"about_ca_topic_score_gemma":0.00045096767,"teacher_disagreement_score":0.0048627956,"about_ca_system_score_codex":0.0004667382,"about_ca_system_score_gemma":0.00013590435,"threshold_uncertainty_score":0.016267657},"labels":[],"label_agreement":null},{"id":"W4402765719","doi":"10.3390/en17184714","title":"Advanced Machine Learning Techniques for Energy Consumption Analysis and Optimization at UBC Campus: Correlations with Meteorological Variables","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Energy consumption; Computer science; Machine learning; Energy (signal processing); Environmental science; Artificial intelligence; Meteorology; Engineering; Statistics; Mathematics; Geography; Electrical engineering","score_opus":0.006972929358970711,"score_gpt":0.21201936812361324,"score_spread":0.20504643876464254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402765719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50136125,0.0031235558,0.48511037,0.0017592997,0.00012843257,0.00009947525,0.0015911434,0.0011282256,0.005698313],"genre_scores_gemma":[0.9309656,0.0010464186,0.06528713,0.000075726806,0.000052351326,0.000049217007,0.0010413202,0.000089609166,0.0013925596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99958843,0.00014687714,0.000026648047,0.00008165095,0.00012163264,0.00003471784],"domain_scores_gemma":[0.998926,0.00059803436,0.00013550067,0.000114118775,0.00020180491,0.000024473986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010921344,0.0007446599,0.0006014475,0.0009719868,0.00025775906,0.0009731185,0.0005480857,0.00039496907,0.00098733],"category_scores_gemma":[0.0032998777,0.000248281,0.00054005533,0.002586296,0.0002222434,0.00081521564,0.00051248475,0.0012731678,0.0003546145],"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":[0.00006833967,0.00015053271,0.0633258,0.0001686935,0.0002219482,0.00013498917,0.000102786245,0.7857737,0.0022585497,0.0045191203,0.0019904203,0.14128512],"study_design_scores_gemma":[0.0000021347373,0.000015466052,0.00958859,0.000017748767,0.000011172069,0.000015399042,0.00005578496,0.9863348,0.0006602761,0.0022893185,0.0010002374,0.0000090044305],"about_ca_topic_score_codex":0.012313404,"about_ca_topic_score_gemma":0.017451582,"teacher_disagreement_score":0.012313404,"about_ca_system_score_codex":0.00051811896,"about_ca_system_score_gemma":0.0006502799,"threshold_uncertainty_score":0.024483442},"labels":[],"label_agreement":null},{"id":"W4402817180","doi":"10.3390/en17184626","title":"Energy and Economic Assessment of Oxy-Fuel Combustion CO2 Capture in Coal-Fired Power Plants","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Government of Jiangsu Province; Jiangsu Agricultural Science and Technology Innovation Fund","keywords":"Air preheater; Flue gas; Waste management; Flue-gas emissions from fossil-fuel combustion; Combustion; Boiler (water heating); Coal; Environmental science; Power station; Waste heat recovery unit; Electricity generation; Waste heat; Incineration; Economizer; Engineering; Chemistry; Heat exchanger; Power (physics); Mechanical engineering","score_opus":0.0055104878351082244,"score_gpt":0.21243809283987247,"score_spread":0.20692760500476426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402817180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98122,0.0008804162,0.0043364298,0.00011373332,0.000020623009,0.00007854221,0.0006435927,0.000023197868,0.012683447],"genre_scores_gemma":[0.99891496,0.000118260454,0.00031647718,0.0000035864605,0.0000017531531,0.000013432967,0.00012845856,0.0000032832304,0.0004997435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995741,0.000109512344,0.000015042383,0.000042204265,0.00019120616,0.0000679332],"domain_scores_gemma":[0.99959546,0.00018069081,0.00003227544,0.000024009556,0.00013654848,0.00003096005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081748364,0.00066229363,0.0004351433,0.0012742353,0.00041679773,0.0007986763,0.00052448583,0.0006375967,0.0014600515],"category_scores_gemma":[0.0007108282,0.00022339867,0.00080789614,0.0014204868,0.0004937718,0.0010415919,0.00045808248,0.00043899723,0.00017222915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002411426,0.0005857466,0.030566221,0.0005839426,0.00016272686,0.0010630176,0.00006234304,0.89593184,0.026920414,0.0076021943,0.0011350145,0.032975033],"study_design_scores_gemma":[0.00011209296,0.0022595231,0.116917305,0.000065945336,0.00021543397,0.00021744485,0.0007184716,0.83001477,0.041687027,0.0037662315,0.003918222,0.00010757445],"about_ca_topic_score_codex":0.0087098405,"about_ca_topic_score_gemma":0.007443833,"teacher_disagreement_score":0.0087098405,"about_ca_system_score_codex":0.002500043,"about_ca_system_score_gemma":0.0005689429,"threshold_uncertainty_score":0.018139184},"labels":[],"label_agreement":null},{"id":"W4402862000","doi":"10.3390/en17194825","title":"An Overview of Silica Scaling Reduction Technologies in the Geothermal Market","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"Horizon 2020 Framework Programme","keywords":"Reduction (mathematics); Geothermal gradient; Scaling; Environmental science; Process engineering; Engineering; Geology; Mathematics; Geophysics","score_opus":0.02748878400897239,"score_gpt":0.28704461209496485,"score_spread":0.2595558280859925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402862000","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":[0.0036497677,0.9650244,0.0030804886,0.00094155717,0.0004375623,0.0000518204,0.00010557699,0.00004590245,0.026662918],"genre_scores_gemma":[0.011896003,0.9782438,0.0032209083,0.0004145248,0.00034426065,0.000048153663,0.00010784659,0.000013615564,0.005710942],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969876,0.0000330971,0.000032065782,0.00006575187,0.00012553518,0.00004485868],"domain_scores_gemma":[0.9997607,0.00011025604,0.000039606715,0.000009680843,0.000062909705,0.000016832388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005478467,0.00070061965,0.0005466723,0.0022552223,0.0004401422,0.001681205,0.0005846967,0.0012063293,0.006423311],"category_scores_gemma":[0.0005284162,0.00044354456,0.0006949317,0.0026389707,0.00031689185,0.0022353684,0.0006199406,0.0010328213,0.0020227924],"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":[0.00010589475,0.00022138072,0.0008805308,0.01875308,0.00007745918,0.00071277673,0.00030964165,0.0035976276,0.01379126,0.06469576,0.025400652,0.8714539],"study_design_scores_gemma":[0.0000059861113,0.00023128686,0.0009816315,0.0029943236,0.00006135135,0.0007383903,0.00015862858,0.0009298713,0.003700957,0.0077275564,0.982437,0.000032982978],"about_ca_topic_score_codex":0.0012247097,"about_ca_topic_score_gemma":0.0018021393,"teacher_disagreement_score":0.006423311,"about_ca_system_score_codex":0.0008857137,"about_ca_system_score_gemma":0.0009561969,"threshold_uncertainty_score":0.02148819},"labels":[],"label_agreement":null},{"id":"W4402900158","doi":"10.3390/en17194848","title":"Empowering Remote and Off-Grid Renewable Energy Communities: Case Studies in Congo, Australia, and Canada","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Renewable energy; Grid; Geography; Environmental resource management; Environmental planning; Business; Environmental protection; Natural resource economics; Environmental science; Engineering; Economics; Electrical engineering","score_opus":0.03850695869088064,"score_gpt":0.30250818527679074,"score_spread":0.2640012265859101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402900158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882974,0.0001414062,0.0013516301,0.00018481932,0.000004555068,0.00015123852,0.00022451974,0.000024344869,0.009620107],"genre_scores_gemma":[0.99560934,0.00014411219,0.001799205,0.000022552444,0.0000013570688,0.00004484738,0.00009745904,0.000007557004,0.0022734983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9995425,0.00018308635,0.000010848692,0.000037134294,0.0000655876,0.00016091882],"domain_scores_gemma":[0.99941134,0.00023507643,0.000037171623,0.000029296147,0.00013472952,0.00015242893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045827642,0.00047326187,0.0003052168,0.00056606176,0.0020751453,0.0010116821,0.000899818,0.0007257485,0.0016727255],"category_scores_gemma":[0.001194264,0.00017765364,0.00035257218,0.0011770866,0.00090205425,0.00065762515,0.0008793017,0.00047030655,0.00009314754],"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":[0.0009752853,0.0015676002,0.089098856,0.00095213513,0.00021569444,0.015419827,0.008095395,0.7833975,0.007822126,0.028356321,0.0046865866,0.059412677],"study_design_scores_gemma":[0.0005310676,0.0010504705,0.14175211,0.00039841863,0.00034904774,0.0014277067,0.074176535,0.72663665,0.01202756,0.0062185717,0.035130687,0.00030121664],"about_ca_topic_score_codex":0.8376082,"about_ca_topic_score_gemma":0.9310697,"teacher_disagreement_score":0.16239178,"about_ca_system_score_codex":0.010376189,"about_ca_system_score_gemma":0.0058617946,"threshold_uncertainty_score":0.32669622},"labels":[],"label_agreement":null},{"id":"W4402900685","doi":"10.3390/en17194857","title":"How can Fossil-Energy-Free Technologies and Strategies (FEFTS) be adopted in European Farming?","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Instytut Uprawy Nawożenia i Gleboznawstwa-Państwowy Instytut Badawczy; Agricultural University of Athens; Teagasc; European Commission; Egg Farmers of Canada; National and Kapodistrian University of Athens; Aarhus Universitet","keywords":"Agriculture; Fossil fuel; Energy (signal processing); Natural resource economics; Environmental resource management; Environmental economics; Business; Environmental planning; Environmental science; Engineering; Economics; Ecology; Biology; Waste management; Mathematics","score_opus":0.005716774283934668,"score_gpt":0.191167636903444,"score_spread":0.18545086261950933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402900685","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":[0.33031222,0.030976279,0.042169128,0.19121687,0.0015168858,0.00029132958,0.00031938523,0.00021281446,0.40298513],"genre_scores_gemma":[0.9400688,0.013271008,0.01693306,0.018668167,0.000118338656,0.00016756344,0.00017847978,0.000043208835,0.010551318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99176884,0.003807758,0.00031631716,0.00072651403,0.0014589849,0.0019216835],"domain_scores_gemma":[0.9943704,0.0031962015,0.0005624378,0.00051624497,0.0008499173,0.0005048273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016600626,0.0005088429,0.00040045206,0.0010599697,0.001794242,0.012791103,0.0016306093,0.0073260753,0.0049169105],"category_scores_gemma":[0.015370233,0.00029109852,0.0006674131,0.0011801567,0.0047526574,0.013986447,0.0048415437,0.0023791648,0.00082817033],"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":[0.00018171441,0.00031557723,0.008673601,0.0014290289,0.00008324524,0.0007287149,0.008799043,0.005250094,0.004632456,0.7075033,0.014045341,0.24835788],"study_design_scores_gemma":[0.000043040203,0.0002894888,0.01686562,0.0032525142,0.00005239149,0.00036506902,0.049639232,0.0018350758,0.004877759,0.2827664,0.6398763,0.00013718907],"about_ca_topic_score_codex":0.004589668,"about_ca_topic_score_gemma":0.0057195444,"teacher_disagreement_score":0.016600626,"about_ca_system_score_codex":0.004535324,"about_ca_system_score_gemma":0.0067109317,"threshold_uncertainty_score":0.08779353},"labels":[],"label_agreement":null},{"id":"W4402930294","doi":"10.3390/en17194839","title":"Assessing the Potential of Phase-Change Materials in Energy Retrofitting of Existing Buildings in a Mediterranean Climate","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Retrofitting; Climate change; Mediterranean climate; Environmental science; Energy (signal processing); Phase (matter); Architectural engineering; Civil engineering; Engineering; Geography; Geology; Structural engineering; Archaeology; Physics","score_opus":0.1078482209612469,"score_gpt":0.3762340223303258,"score_spread":0.2683858013690789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402930294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850464,0.00011158674,0.0006362501,0.000009225435,0.00000746244,0.000022005699,0.00003268627,0.000008059516,0.00066800293],"genre_scores_gemma":[0.99778795,0.00011528734,0.0017539925,0.0000069207636,0.0000024033534,0.0000133311805,0.000027229784,0.0000054756774,0.00028739864],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996258,0.00011490586,0.000019573072,0.000048176644,0.00014117295,0.000050346847],"domain_scores_gemma":[0.9996147,0.00010453993,0.00006491243,0.00004260192,0.00013496978,0.000038166814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009058512,0.00054437254,0.0002729352,0.0005084872,0.00025966403,0.0006990583,0.00058176194,0.0005684505,0.0007888276],"category_scores_gemma":[0.0010740878,0.00016042432,0.00047913208,0.00033939982,0.0002670873,0.0005396969,0.000343308,0.0003135405,0.00019313728],"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":[0.0046946146,0.0023529327,0.08794726,0.001042627,0.00025782277,0.00082804787,0.00065273535,0.11213922,0.63701314,0.0010582979,0.00055782637,0.15145545],"study_design_scores_gemma":[0.00017799632,0.029394085,0.23966844,0.00010684624,0.0004839233,0.00060893025,0.0022464236,0.12631266,0.59174603,0.0008826474,0.008281092,0.000091017464],"about_ca_topic_score_codex":0.0012877905,"about_ca_topic_score_gemma":0.0035142028,"teacher_disagreement_score":0.0012877905,"about_ca_system_score_codex":0.0004566466,"about_ca_system_score_gemma":0.00019821651,"threshold_uncertainty_score":0.0047906637},"labels":[],"label_agreement":null},{"id":"W4402964188","doi":"10.3390/en17194880","title":"Fatty Acids as Phase Change Materials for Building Applications: Drawbacks and Future Developments","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochemical engineering; Nanotechnology; Computer science; Engineering; Materials science","score_opus":0.03070809679033118,"score_gpt":0.34597505732441125,"score_spread":0.3152669605340801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402964188","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010908964,0.97307444,0.0053318497,0.0022695344,0.00042719216,0.000028246921,0.00006132715,0.000041683783,0.007856783],"genre_scores_gemma":[0.046862617,0.93818724,0.009030959,0.0006897162,0.00040198152,0.00006042113,0.00010478357,0.00002484166,0.0046374323],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996049,0.00006661496,0.000032636242,0.00006996224,0.00017754741,0.00004842174],"domain_scores_gemma":[0.99949586,0.00022423464,0.00006767138,0.000027247303,0.0001552181,0.000029743524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011121412,0.00064397004,0.0005972827,0.0008343736,0.00041161652,0.0013835265,0.00066701433,0.0015434127,0.003448707],"category_scores_gemma":[0.0008418936,0.00038186286,0.00055421755,0.001069574,0.00044707244,0.0022164383,0.00064782356,0.001384409,0.002002503],"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":[0.00019112483,0.00030575643,0.0011037237,0.019802844,0.000078558674,0.0007623115,0.0003339003,0.0029654026,0.16550137,0.026527597,0.010644518,0.7717828],"study_design_scores_gemma":[0.000022356253,0.00085854845,0.001187385,0.002586275,0.00013032349,0.0020394425,0.0005905815,0.0035173874,0.1063314,0.014267907,0.86838275,0.00008561638],"about_ca_topic_score_codex":0.00065683713,"about_ca_topic_score_gemma":0.0017424381,"teacher_disagreement_score":0.003448707,"about_ca_system_score_codex":0.00052568404,"about_ca_system_score_gemma":0.000665965,"threshold_uncertainty_score":0.011537015},"labels":[],"label_agreement":null},{"id":"W4403065144","doi":"10.3390/en17194943","title":"Trapping of Bubbles in Oil Sands Tailing Ponds","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oil sands; Trapping; Environmental science; Petroleum engineering; Tailings; Mining engineering; Waste management; Petroleum; Environmental engineering; Geology; Geography; Engineering; Archaeology; Metallurgy; Materials science; Asphalt; Forestry; Paleontology","score_opus":0.0041143628818623365,"score_gpt":0.2073139023658993,"score_spread":0.20319953948403696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403065144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5793237,0.054929495,0.34191334,0.0011958177,0.0001717021,0.00014777527,0.0004973485,0.0011664829,0.020654358],"genre_scores_gemma":[0.941346,0.01809668,0.03200342,0.00012787853,0.000037833248,0.000059074322,0.00019212686,0.000056537738,0.008080381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991286,0.000010688053,0.0000043300593,0.00002371271,0.00003416696,0.000014173678],"domain_scores_gemma":[0.9999213,0.000034252196,0.000019193103,0.0000072708804,0.000012652072,0.0000053646277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019601439,0.00020343009,0.00025404277,0.00024236822,0.00023717193,0.00038062752,0.0003722929,0.0003895645,0.00073711906],"category_scores_gemma":[0.00030802074,0.00021493793,0.00022220756,0.0002186799,0.0004383359,0.0007086604,0.000413816,0.00031199236,0.00020191177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001553888,0.00007953516,0.004513016,0.0016367063,0.000047201098,0.0009488668,0.00046185122,0.101571016,0.7146614,0.039040513,0.002317335,0.13456713],"study_design_scores_gemma":[0.000045022512,0.00041470272,0.009707577,0.0003117692,0.00006113067,0.001211188,0.00039903805,0.31873763,0.58607423,0.022134665,0.06078364,0.00011941006],"about_ca_topic_score_codex":0.0014698802,"about_ca_topic_score_gemma":0.0017603977,"teacher_disagreement_score":0.0014698802,"about_ca_system_score_codex":0.00040692807,"about_ca_system_score_gemma":0.0001306256,"threshold_uncertainty_score":0.0029524565},"labels":[],"label_agreement":null},{"id":"W4403069949","doi":"10.3390/en17194937","title":"A Sustainable Agri-Photovoltaic Greenhouse for Lettuce Production in Qatar","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic Systems and Sustainability","field":"Environmental 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":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Photovoltaic system; Sustainable production; Greenhouse; Production (economics); Environmental science; Greenhouse gas; Business; Environmental protection; Engineering; Agronomy; Economics; Ecology; Biology; Electrical engineering","score_opus":0.007972060200091285,"score_gpt":0.2327914514407951,"score_spread":0.22481939124070383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403069949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9422438,0.00041480394,0.042214934,0.00028684796,0.00004059161,0.00020169961,0.0009709311,0.00045236276,0.013174072],"genre_scores_gemma":[0.98393804,0.00012000296,0.013457061,0.000022536902,0.000001968019,0.00004985679,0.0002943668,0.000008996438,0.0021072247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999585,0.000010040764,0.0000014056972,0.0000095789355,0.000011477875,0.000008959265],"domain_scores_gemma":[0.99995124,0.000011530235,0.0000049847436,0.000006137277,0.000017181914,0.000008970477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023402445,0.0001797774,0.00013729505,0.00012577619,0.0006705179,0.00031397396,0.00025374477,0.00024702717,0.0013100423],"category_scores_gemma":[0.00007892409,0.00007563006,0.0002709507,0.0001602566,0.00014883067,0.00027445963,0.00020374649,0.00018145132,0.00023856059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068043947,0.00021845914,0.021856599,0.00055113464,0.000055137385,0.001324786,0.00042897102,0.2292533,0.65212864,0.0068061077,0.003339232,0.08335718],"study_design_scores_gemma":[0.00022315841,0.0034243378,0.10559767,0.000112250484,0.00015321781,0.0007376764,0.0015277651,0.5135195,0.31917346,0.005064629,0.050361857,0.00010459982],"about_ca_topic_score_codex":0.0071374816,"about_ca_topic_score_gemma":0.023720099,"teacher_disagreement_score":0.0071374816,"about_ca_system_score_codex":0.0009988348,"about_ca_system_score_gemma":0.0012115643,"threshold_uncertainty_score":0.014191866},"labels":[],"label_agreement":null},{"id":"W4403072546","doi":"10.3390/en17194936","title":"CFD Simulations of a Loss of Heat Sink Experiment in the McMaster Nuclear Reactor","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Bundesministerium für Bildung und Forschung; McMaster University","keywords":"Computational fluid dynamics; Nuclear engineering; Heat sink; Environmental science; Engineering; Mechanical engineering; Aerospace engineering","score_opus":0.009792575718610808,"score_gpt":0.21991358460547658,"score_spread":0.21012100888686577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403072546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965766,0.00024974442,0.0066485303,0.0006794049,0.00009961792,0.00011736965,0.0014987203,0.00030531,0.024635274],"genre_scores_gemma":[0.9935946,0.00008297249,0.0023349652,0.000056027104,0.000006695671,0.00006125491,0.00042017625,0.0000502934,0.0033929648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996779,0.000041089497,0.000015446638,0.00005307557,0.00008359473,0.0001289485],"domain_scores_gemma":[0.9990345,0.0005492146,0.00007132753,0.000059997852,0.00016642103,0.00011856813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000471628,0.00063455803,0.00077507226,0.00047720474,0.0012772012,0.0012313084,0.00091599557,0.0015657844,0.003262679],"category_scores_gemma":[0.0015180295,0.00040191584,0.0006312335,0.0005704617,0.0012508438,0.0006028917,0.0008241739,0.0011464243,0.00033167808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005373728,0.00015592929,0.0045351777,0.00007806713,0.000018022052,0.0004356958,0.00023331292,0.97730345,0.009820074,0.002432524,0.001563378,0.0028869875],"study_design_scores_gemma":[0.00010208329,0.00018474022,0.0034220635,0.000021155003,0.000017648379,0.000036172707,0.00020003394,0.9879517,0.0061359513,0.0005115119,0.0013805233,0.000036476828],"about_ca_topic_score_codex":0.06739023,"about_ca_topic_score_gemma":0.038607664,"teacher_disagreement_score":0.06739023,"about_ca_system_score_codex":0.0021385644,"about_ca_system_score_gemma":0.0022307828,"threshold_uncertainty_score":0.13399595},"labels":[],"label_agreement":null},{"id":"W4403192323","doi":"10.3390/en17194990","title":"On the Use of the Multi-Site Langmuir Model for Predicting Methane Adsorption on Shale","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Oil shale; Methane; Adsorption; Langmuir; Langmuir adsorption model; Shale gas; Environmental science; Petroleum engineering; Chemical engineering; Chemistry; Geology; Waste management; Engineering; Physical chemistry; Organic chemistry","score_opus":0.06483458406934087,"score_gpt":0.2557841626809526,"score_spread":0.19094957861161174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403192323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6300057,0.0030660979,0.3592253,0.00074468664,0.000113002105,0.00011652671,0.0003442495,0.0005779032,0.00580648],"genre_scores_gemma":[0.9828935,0.000996551,0.0140532125,0.00007120473,0.000021728334,0.00006800062,0.00012237883,0.00002545567,0.0017480318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999806,0.00005058151,0.000012037364,0.000041373172,0.000057948924,0.000032124928],"domain_scores_gemma":[0.9996991,0.0001616262,0.000025615474,0.000015491976,0.0000844304,0.000013826962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004627919,0.00064192613,0.0005985207,0.00067729753,0.00033494085,0.0005876584,0.0007482191,0.0009338128,0.00068995735],"category_scores_gemma":[0.0009318587,0.0003190229,0.00081326626,0.0005287792,0.0002703085,0.0010056065,0.00041792326,0.00047636896,0.0002579892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000736972,0.00007971258,0.0050871926,0.00010265592,0.000047651833,0.00012657698,0.00004879759,0.96312624,0.015669605,0.0023921872,0.00040595184,0.012839684],"study_design_scores_gemma":[0.000001251587,0.000010818415,0.00017426335,0.0000014866833,0.0000028720317,0.0000045159322,0.0000056223826,0.9990903,0.0005359119,0.000108124485,0.000060885315,0.0000038830767],"about_ca_topic_score_codex":0.016394418,"about_ca_topic_score_gemma":0.01055038,"teacher_disagreement_score":0.016394418,"about_ca_system_score_codex":0.00041966693,"about_ca_system_score_gemma":0.00070195424,"threshold_uncertainty_score":0.03259796},"labels":[],"label_agreement":null},{"id":"W4403304187","doi":"10.3390/en17205023","title":"An Open-Source Tool for Composite Power System Reliability Assessment in Julia™","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Energie NB Power (Canada); University of New Brunswick","funders":"Alliance de recherche numérique du Canada; Atlantic Canada Opportunities Agency; Mitacs","keywords":"Reliability engineering; Reliability (semiconductor); Composite number; Open source; Computer science; Power (physics); Engineering; Physics; Algorithm; Operating system; Thermodynamics; Software","score_opus":0.0071087190863845665,"score_gpt":0.25814621508101393,"score_spread":0.2510374959946294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403304187","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024076335,0.0001270204,0.88445413,0.00008109072,0.00009010832,0.0001424713,0.0035001806,0.1024317,0.0067656892],"genre_scores_gemma":[0.11377553,0.0008104864,0.7838114,0.00037908164,0.00016346097,0.0013857275,0.02764044,0.04708957,0.024944331],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920076,0.00008525108,0.00007308342,0.000108467786,0.00046578085,0.00006672202],"domain_scores_gemma":[0.9982778,0.0008653415,0.00017138697,0.00020935344,0.00041714433,0.00005901707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011182256,0.0013400874,0.00067724905,0.0011672054,0.00036179417,0.0012882425,0.0024749835,0.00092705275,0.03540586],"category_scores_gemma":[0.004852715,0.0009598447,0.0015121383,0.001052743,0.00045958333,0.0015691672,0.0016314177,0.0018105383,0.014752104],"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":[0.00038500526,0.00028910898,0.004253017,0.0026907977,0.00039421473,0.0011843999,0.0006112058,0.2635328,0.020446429,0.049755834,0.23343877,0.4230185],"study_design_scores_gemma":[0.00027560507,0.00015063384,0.0016428279,0.0003487224,0.00010478866,0.0009243886,0.00006603318,0.6012242,0.019114282,0.04237651,0.3335846,0.00018741249],"about_ca_topic_score_codex":0.0020151965,"about_ca_topic_score_gemma":0.0028749588,"teacher_disagreement_score":0.03540586,"about_ca_system_score_codex":0.0004505552,"about_ca_system_score_gemma":0.0014180614,"threshold_uncertainty_score":0.11844432},"labels":[],"label_agreement":null},{"id":"W4403381111","doi":"10.3390/en17205084","title":"Unconventional Fracture Networks Simulation and Shale Gas Production Prediction by Integration of Petrophysics, Geomechanics and Fracture Characterization","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Science Foundation of China University of Petroleum, Beijing; China University of Petroleum, Beijing","keywords":"Geomechanics; Petrophysics; Petroleum engineering; Shale gas; Fracture (geology); Oil shale; Geology; Reservoir modeling; Tight gas; Production (economics); Unconventional oil; Petrology; Geotechnical engineering; Hydraulic fracturing; Porosity; Economics","score_opus":0.006009356155596239,"score_gpt":0.1999074645578581,"score_spread":0.19389810840226185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403381111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87673926,0.00009864138,0.12012023,0.00010480032,0.00001060609,0.000023821547,0.00038854504,0.00024032606,0.0022738343],"genre_scores_gemma":[0.98774105,0.00004577997,0.011518872,0.0000046159025,0.0000019347106,0.000023415929,0.00011749014,0.000010167162,0.00053675764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999527,0.000013076306,0.000003100473,0.000012366166,0.000009638203,0.000009107896],"domain_scores_gemma":[0.9998553,0.00006934808,0.000027504851,0.000015812373,0.000019040139,0.000012906593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014267041,0.000346825,0.00024542844,0.00038090846,0.00020506671,0.0004002593,0.00042548365,0.00067139615,0.00084721047],"category_scores_gemma":[0.00049353536,0.00022945201,0.00036581175,0.00036546562,0.0002570356,0.00043453192,0.0003414659,0.00024349573,0.00008404908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000990013,0.000010934006,0.0024612453,0.0000054605966,0.0000063508437,0.000020927017,0.00001019386,0.9943796,0.00073113065,0.0003851706,0.000023330153,0.0019557155],"study_design_scores_gemma":[5.745082e-7,0.0000020769094,0.00024427372,3.82794e-7,5.086741e-7,0.0000017745683,0.0000026367159,0.9995553,0.00009086821,0.00007871341,0.000022316068,6.1808845e-7],"about_ca_topic_score_codex":0.024533007,"about_ca_topic_score_gemma":0.029849492,"teacher_disagreement_score":0.024533007,"about_ca_system_score_codex":0.00051892485,"about_ca_system_score_gemma":0.0007488756,"threshold_uncertainty_score":0.04878038},"labels":[],"label_agreement":null},{"id":"W4403429613","doi":"10.3390/en17205119","title":"Assessing Carbon Dioxide Emissions in Manufacturing Industries: A Systematic Review","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs; University of Regina","keywords":"Carbon dioxide; Environmental science; Greenhouse gas; Natural resource economics; Waste management; Engineering; Chemistry; Economics; Geology","score_opus":0.041159046863880513,"score_gpt":0.309056584759146,"score_spread":0.2678975378952655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403429613","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":[0.0010938315,0.9975821,0.00018047533,0.00025277107,0.000098465076,0.00015257712,0.00030094016,0.000006510407,0.00033231077],"genre_scores_gemma":[0.009791935,0.9887911,0.00063076644,0.0002490644,0.000057889913,0.00018638575,0.00018443719,0.0000034541363,0.000105086234],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.994503,0.0014259296,0.002047481,0.00047546765,0.0013952932,0.00015286864],"domain_scores_gemma":[0.9737604,0.018882718,0.0037649975,0.0004174155,0.0028903545,0.000284187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061805034,0.0012072347,0.0034669028,0.020119874,0.0007107012,0.0024464768,0.001341351,0.0014753888,0.0026536034],"category_scores_gemma":[0.025777087,0.0007420898,0.00363398,0.018379133,0.0007982642,0.002492345,0.0013905407,0.00078451785,0.00027426318],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008361853,0.000026615442,0.00171945,0.9023489,0.0033426746,0.00024260793,0.0003819945,0.00018706748,0.00038917593,0.0004999897,0.002463414,0.08831449],"study_design_scores_gemma":[0.000056276578,0.00017369933,0.006824184,0.89911115,0.026424704,0.00073101145,0.0007147602,0.00015455991,0.00050271687,0.00058237644,0.06467772,0.00004697628],"about_ca_topic_score_codex":0.007711218,"about_ca_topic_score_gemma":0.029200649,"teacher_disagreement_score":0.020119874,"about_ca_system_score_codex":0.0027763823,"about_ca_system_score_gemma":0.01492392,"threshold_uncertainty_score":0.032686055},"labels":[],"label_agreement":null},{"id":"W4403486954","doi":"10.3390/en17205160","title":"Comprehensive Assessment of the Impact of Green Roofs and Walls on Building Energy Performance: A Scientific Review","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Erasmus+; European Commission","keywords":"Urban heat island; Architectural engineering; Sustainability; Energy consumption; Efficient energy use; Environmental economics; Environmental science; Climate change; Environmental planning; Civil engineering; Computer science; Environmental resource management; Engineering; Meteorology; Ecology; Geography; Economics","score_opus":0.03357280011989195,"score_gpt":0.3434140451326496,"score_spread":0.30984124501275767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403486954","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":[0.0002886777,0.9985518,0.00013865632,0.00014807712,0.00007697378,0.0000063883685,0.0000335491,0.000004255173,0.0007514922],"genre_scores_gemma":[0.0018551096,0.99766976,0.00016306766,0.00006649183,0.000047423728,0.00000568045,0.000029609753,0.0000016643619,0.0001611018],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945086,0.000089016154,0.000095572286,0.00010193138,0.00022091674,0.000041770956],"domain_scores_gemma":[0.9983779,0.0009587388,0.0002388827,0.00003915442,0.00034397206,0.000041383402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013451703,0.0011883604,0.0019450086,0.004539431,0.00035294966,0.0017338499,0.0009068569,0.0012850331,0.0039479355],"category_scores_gemma":[0.002117231,0.00052899495,0.0013337161,0.0050566723,0.00047437902,0.001740764,0.0008078161,0.0008810838,0.0009327844],"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":[0.00007312354,0.00009667481,0.0005345026,0.16758412,0.0005118674,0.00013592477,0.00017027908,0.0013185047,0.003002811,0.0060808514,0.0122527825,0.8082385],"study_design_scores_gemma":[0.000016142609,0.00025571857,0.0033860537,0.05069571,0.0019914708,0.00078103674,0.0003822608,0.00041183145,0.002751392,0.0036257904,0.93562824,0.000074329044],"about_ca_topic_score_codex":0.0025044705,"about_ca_topic_score_gemma":0.00386674,"teacher_disagreement_score":0.004539431,"about_ca_system_score_codex":0.0007665711,"about_ca_system_score_gemma":0.0026381034,"threshold_uncertainty_score":0.013207197},"labels":[],"label_agreement":null},{"id":"W4403545356","doi":"10.3390/en17205187","title":"A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reinforcement learning; Control reconfiguration; Power flow; Flow (mathematics); Action (physics); Space (punctuation); Computer science; Power (physics); Distribution (mathematics); Sampling (signal processing); Artificial intelligence; Topology (electrical circuits); Mathematics; Electric power system; Engineering; Electrical engineering; Physics; Telecommunications; Mathematical analysis; Embedded system; Geometry","score_opus":0.018866808043790914,"score_gpt":0.24677744244898042,"score_spread":0.2279106344051895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403545356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021174144,0.00026678055,0.9751754,0.00020501508,0.00005952128,0.000056330082,0.000082263614,0.0004671106,0.002513444],"genre_scores_gemma":[0.9073034,0.00019610874,0.08758908,0.00017500839,0.000039967606,0.00019462567,0.00018698537,0.000049363385,0.004265332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997249,0.00008304205,0.00001447389,0.000070248374,0.00006241565,0.00004484621],"domain_scores_gemma":[0.9995396,0.00024247785,0.000055928303,0.000029327472,0.00010252501,0.000030245643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008163063,0.0006344186,0.00091757835,0.0002858298,0.00020544209,0.00049874524,0.0011401208,0.00067420176,0.002477959],"category_scores_gemma":[0.0014957621,0.00030789565,0.00042166794,0.0003664096,0.0005751158,0.0005981634,0.00054921134,0.0012355255,0.000251678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029135974,0.000023127523,0.00023211697,0.000017718266,0.000011338567,0.000023345352,0.000010836767,0.97840124,0.00037924483,0.0024873477,0.0004406676,0.017943831],"study_design_scores_gemma":[0.0000023952175,0.0000045430575,0.000016674376,6.85457e-7,9.631398e-7,0.0000017205703,4.2781642e-7,0.99944144,0.000044171724,0.00043159208,0.00005462111,7.1648225e-7],"about_ca_topic_score_codex":0.009969757,"about_ca_topic_score_gemma":0.0102051385,"teacher_disagreement_score":0.009969757,"about_ca_system_score_codex":0.0009349867,"about_ca_system_score_gemma":0.001035248,"threshold_uncertainty_score":0.019823492},"labels":[],"label_agreement":null},{"id":"W4403764996","doi":"10.3390/en17215313","title":"Development of Semi-Empirical and Machine Learning Models for Photoelectrochemical Cells","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Photoelectrochemical cell; Artificial intelligence; Machine learning; Chemistry","score_opus":0.02560572774709693,"score_gpt":0.22233652990799452,"score_spread":0.19673080216089758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403764996","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":[0.008175469,0.00043851073,0.98769486,0.00019510955,0.00003516693,0.00004893977,0.00015996404,0.00024349907,0.0030083912],"genre_scores_gemma":[0.5946508,0.0015007298,0.38867474,0.00027262885,0.00012632398,0.00093375554,0.00090134726,0.0003042024,0.012635459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972934,0.00007918395,0.000018095929,0.000057958077,0.000087519,0.000027902415],"domain_scores_gemma":[0.9977724,0.0015139178,0.00013201224,0.000105168474,0.0004369851,0.0000394281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011129826,0.0008964186,0.0008987405,0.0005505605,0.0003858035,0.001070545,0.0019991582,0.001637928,0.0026494963],"category_scores_gemma":[0.004254973,0.00068448373,0.00086932804,0.00055872777,0.0006153484,0.0012318322,0.00093719136,0.0022981588,0.0008060725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005346698,0.000013542773,0.00021185915,0.000025639885,0.000008195328,0.000021092343,0.000017047105,0.98674124,0.0003441653,0.0068113874,0.0002283513,0.0055721425],"study_design_scores_gemma":[4.2871824e-7,0.0000015173805,0.000011407171,0.0000018379611,5.652835e-7,0.00000230897,9.957632e-7,0.99868315,0.00006280613,0.0010910563,0.0001428873,0.0000010162854],"about_ca_topic_score_codex":0.009011866,"about_ca_topic_score_gemma":0.006221631,"teacher_disagreement_score":0.009011866,"about_ca_system_score_codex":0.0012782186,"about_ca_system_score_gemma":0.0010883673,"threshold_uncertainty_score":0.017918825},"labels":[],"label_agreement":null},{"id":"W4403766721","doi":"10.3390/en17215303","title":"Emergency Capability Evaluation of Port-Adjacent Oil Storage and Transportation Bases: An Improved Analytic Hierarchy Process Approach","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Analytic hierarchy process; Port (circuit theory); Process (computing); Transport engineering; Computer science; Analytic network process; Hierarchy; Engineering; Operations research; Electrical engineering","score_opus":0.07980417625821082,"score_gpt":0.38616154681878717,"score_spread":0.3063573705605763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403766721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1397692,0.00040919165,0.8550533,0.00022933856,0.000019319215,0.00029723044,0.00011537017,0.00009019283,0.0040168935],"genre_scores_gemma":[0.8508876,0.00039968453,0.1478005,0.000016897298,0.000018639432,0.00017454581,0.000111120884,0.000010440448,0.0005804751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983646,0.00067899266,0.00010137392,0.00012573009,0.00061069,0.00011854333],"domain_scores_gemma":[0.9986827,0.0006450522,0.0001807556,0.00003546772,0.000391199,0.00006485295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00292191,0.0007673959,0.0007200941,0.004004051,0.0005851985,0.0018792294,0.0008016652,0.00051469554,0.0009027662],"category_scores_gemma":[0.0039926707,0.00030078838,0.0010300693,0.0022899094,0.0005293543,0.0013430038,0.001333523,0.0006388635,0.00006835028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000132122,0.00023753333,0.009366236,0.0005276324,0.00023875883,0.00030605754,0.0010380666,0.8105007,0.008174465,0.028098937,0.0006764111,0.1407031],"study_design_scores_gemma":[0.0000098108085,0.00007397063,0.0014854141,0.000023732026,0.000042200045,0.00001702961,0.00024278683,0.991093,0.0009861754,0.0056495303,0.00035885916,0.000017500035],"about_ca_topic_score_codex":0.0066138073,"about_ca_topic_score_gemma":0.0050239926,"teacher_disagreement_score":0.0066138073,"about_ca_system_score_codex":0.0013497781,"about_ca_system_score_gemma":0.002326734,"threshold_uncertainty_score":0.015452743},"labels":[],"label_agreement":null},{"id":"W4403768380","doi":"10.3390/en17215296","title":"Adaptive Variable Universe Fuzzy Droop Control Based on a Novel Multi-Strategy Harris Hawk Optimization Algorithm for a Direct Current Microgrid with Hybrid Energy Storage","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Voltage droop; Microgrid; Control theory (sociology); Computer science; Algorithm; Engineering; Voltage; Voltage regulator; Control (management); Artificial intelligence","score_opus":0.008619132305915019,"score_gpt":0.19474218483883482,"score_spread":0.1861230525329198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403768380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076086506,0.00045674696,0.9168426,0.00013906775,0.000068437934,0.00007023857,0.000022845443,0.00023761949,0.006075959],"genre_scores_gemma":[0.95369893,0.00012470467,0.043967113,0.000058020996,0.00001522136,0.00008469003,0.000024382542,0.000017395825,0.0020096262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998708,0.000029153056,0.0000068626473,0.000032023006,0.000041108324,0.000019960713],"domain_scores_gemma":[0.9998752,0.000049315997,0.000019500809,0.000008360673,0.000037614074,0.000009915864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036070764,0.00060407346,0.0005469744,0.00029978348,0.00030998216,0.00062142656,0.00072476605,0.00046843904,0.0009034941],"category_scores_gemma":[0.00064289226,0.0002308373,0.0003643227,0.0002713139,0.0004428386,0.0003820338,0.00054212246,0.00040737094,0.00009649489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005208024,0.000025523323,0.0004000714,0.000044328255,0.000038171675,0.000069531736,0.00008217992,0.94795316,0.0037096574,0.0049777776,0.00047275607,0.042174783],"study_design_scores_gemma":[0.00000731288,0.000027832573,0.000053818512,0.000002411072,0.0000043407285,0.000007370299,0.000005926422,0.99890876,0.0003066757,0.000480228,0.00019223952,0.000003167294],"about_ca_topic_score_codex":0.0053810854,"about_ca_topic_score_gemma":0.0034611202,"teacher_disagreement_score":0.0053810854,"about_ca_system_score_codex":0.0003834789,"about_ca_system_score_gemma":0.0005255605,"threshold_uncertainty_score":0.010699511},"labels":[],"label_agreement":null},{"id":"W4403768402","doi":"10.3390/en17215294","title":"Hardware-in-the-Loop Implementation of an Optimized Energy Management Strategy for Range-Extended Electric Trucks","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Argonne National Laboratory; Cummins Incorporated; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Truck; Range (aeronautics); Automotive engineering; Energy management; Energy (signal processing); Loop (graph theory); Driving range; Computer science; Engineering; Electric vehicle; Aerospace engineering; Physics; Power (physics); Mathematics","score_opus":0.011685939051386906,"score_gpt":0.267970582044892,"score_spread":0.25628464299350506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403768402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3170005,0.00015520168,0.66356003,0.00013812285,0.000059819256,0.0001839064,0.00007923903,0.0011814177,0.017641775],"genre_scores_gemma":[0.98929954,0.000020296267,0.009540025,0.000010959295,0.000002450845,0.00003353659,0.000019984727,0.000009929341,0.0010631498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999263,0.0000091045995,0.0000032691305,0.000015177871,0.000028588018,0.000017506216],"domain_scores_gemma":[0.9999293,0.000016490154,0.000015858897,0.000008915526,0.000023012015,0.000006389834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001401717,0.00031702424,0.00020983508,0.00013194016,0.00016363454,0.00035199255,0.00046349957,0.00020708721,0.0017781004],"category_scores_gemma":[0.00019943474,0.000114076356,0.00017092297,0.00006131278,0.00016825105,0.0002936202,0.00028187037,0.00028949877,0.0002171426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020291845,0.00016601286,0.0010177661,0.00015720031,0.00003114768,0.00015836225,0.000077792196,0.86334085,0.06843728,0.0032669147,0.0005434537,0.0626003],"study_design_scores_gemma":[0.00001865637,0.00025155518,0.00042090262,0.0000053632057,0.000010451352,0.000022330989,0.000020032896,0.98551047,0.011925279,0.00043781285,0.0013709192,0.00000623447],"about_ca_topic_score_codex":0.0018954644,"about_ca_topic_score_gemma":0.0026763706,"teacher_disagreement_score":0.0018954644,"about_ca_system_score_codex":0.00020130529,"about_ca_system_score_gemma":0.00046282413,"threshold_uncertainty_score":0.005948305},"labels":[],"label_agreement":null},{"id":"W4403874192","doi":"10.3390/en17215371","title":"Development of an Experimental Acoustic Noise Characterization Setup for Electric Motor Drive Applications","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Noise (video); Electric motor; Characterization (materials science); Acoustics; Automotive engineering; Computer science; Engineering; Electrical engineering; Physics; Materials science; Nanotechnology","score_opus":0.007182561720886192,"score_gpt":0.23449905156076167,"score_spread":0.22731648983987549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403874192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20883033,0.00043633528,0.7729513,0.00036762687,0.0005348873,0.0024297447,0.0010518698,0.004033264,0.009364656],"genre_scores_gemma":[0.55648154,0.0005678465,0.42750221,0.00026722244,0.00010307099,0.004171494,0.0011991061,0.00033529094,0.009372222],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898297,0.00009387761,0.000073137475,0.00018303256,0.00059263996,0.00007435125],"domain_scores_gemma":[0.9987583,0.00023857862,0.00010702712,0.00017706238,0.0006300047,0.000089065004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011370676,0.0008251801,0.0006899284,0.0007327876,0.0005658385,0.0005704519,0.001330531,0.0006714967,0.005890264],"category_scores_gemma":[0.0017216828,0.00049502065,0.00028371642,0.00040107116,0.00048798224,0.0007761184,0.00091863633,0.0008408172,0.0016730856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000218192,0.000269248,0.0013535393,0.0005091058,0.000021238004,0.00020312396,0.00020071077,0.0034502978,0.94350874,0.001980257,0.0016943697,0.046591118],"study_design_scores_gemma":[0.00011852853,0.0028041524,0.0061069317,0.000097450844,0.000048827085,0.00042204952,0.00023618746,0.022195611,0.9159238,0.0006549411,0.051304262,0.00008722684],"about_ca_topic_score_codex":0.0005512257,"about_ca_topic_score_gemma":0.0008514252,"teacher_disagreement_score":0.005890264,"about_ca_system_score_codex":0.00045925667,"about_ca_system_score_gemma":0.0009789678,"threshold_uncertainty_score":0.019704878},"labels":[],"label_agreement":null},{"id":"W4403939989","doi":"10.3390/en17215459","title":"Quantitative and Qualitative Experimental Assessment of Water Vapor Condensation in Atmospheric Air Transonic Flows in Convergent–Divergent Nozzles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":8,"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":"Transonic; Nozzle; Condensation; Environmental science; Water vapor; Meteorology; Atmospheric sciences; Aerospace engineering; Mechanics; Engineering; Physics; Aerodynamics","score_opus":0.03603938637064762,"score_gpt":0.3759849183629203,"score_spread":0.3399455319922727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403939989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99486166,0.0004197086,0.0034477897,0.0000068836857,0.000009240178,0.00002663295,0.00011440416,0.00003297021,0.0010806866],"genre_scores_gemma":[0.99543935,0.00031687864,0.0035353196,0.000009029339,0.000007034632,0.00003157867,0.00015252508,0.000013959037,0.00049437507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948007,0.000076403056,0.000035019155,0.00008232976,0.00023915256,0.00008712282],"domain_scores_gemma":[0.99926907,0.00036193314,0.00011194739,0.00004873681,0.00016817352,0.000040083807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007416331,0.0004427069,0.00026746496,0.00043869996,0.00029977233,0.00027509863,0.00036003563,0.00032001533,0.0013547442],"category_scores_gemma":[0.0008268404,0.00014281986,0.00022112862,0.00041056157,0.0007126256,0.00036868613,0.0004343617,0.0004307289,0.00009642001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001197044,0.000043035507,0.0011540214,0.00007079607,0.0000063123143,0.0000822081,0.00020554641,0.00065785577,0.99515283,0.0001499133,0.000014916567,0.0023428749],"study_design_scores_gemma":[0.000015475294,0.00091913523,0.014160244,0.000009900524,0.000016057667,0.00011962446,0.00015618885,0.0056097354,0.9784813,0.00007666941,0.00041826974,0.000017383816],"about_ca_topic_score_codex":0.001006309,"about_ca_topic_score_gemma":0.0008187262,"teacher_disagreement_score":0.0013547442,"about_ca_system_score_codex":0.00024115737,"about_ca_system_score_gemma":0.0001597941,"threshold_uncertainty_score":0.004532099},"labels":[],"label_agreement":null},{"id":"W4404039352","doi":"10.3390/en17215517","title":"Gas Pipeline Leak Detection by Integrating Dynamic Modeling and Machine Learning Under the Transient State","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Korea Institute of Energy Technology Evaluation and Planning; National Research Foundation of Korea; Ministry of Science and ICT, South Korea; Ministry of Trade, Industry and Energy; National Research Foundation","keywords":"Transient (computer programming); Pipeline (software); Leak detection; Leak; Computer science; State (computer science); Transient state; Transient analysis; Gas pipeline; Engineering; Transient response; Petroleum engineering; Electrical engineering; Operating system; Algorithm","score_opus":0.005648823596694782,"score_gpt":0.18308683067368783,"score_spread":0.17743800707699306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404039352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39337903,0.00016537191,0.6005762,0.00023871912,0.00002670039,0.00007462816,0.00010977834,0.0017447794,0.0036847843],"genre_scores_gemma":[0.98399884,0.0000454565,0.015136331,0.000016654109,0.000004580417,0.000025860276,0.00006614708,0.000021115964,0.0006849962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998505,0.000033178036,0.000009200443,0.00004521186,0.000037410773,0.000024519777],"domain_scores_gemma":[0.9995122,0.00024773454,0.00008101848,0.000037766815,0.000106486215,0.000014767145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048581412,0.0007088515,0.00046321735,0.00043983685,0.00024793018,0.00076991227,0.0004017707,0.0005291833,0.0005389358],"category_scores_gemma":[0.0015205295,0.0003612655,0.000476453,0.00025022397,0.00032814004,0.0009439614,0.00044153022,0.000572692,0.00013496303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033694938,0.000037653925,0.0028115904,0.000016594111,0.000014924996,0.000022843835,0.000021855441,0.9797005,0.0018581607,0.0003913315,0.00009659861,0.014994226],"study_design_scores_gemma":[4.4452284e-7,0.000006969288,0.00017836741,7.648592e-7,0.0000010024091,0.0000016387249,0.0000019520824,0.9993863,0.00030784082,0.00008639065,0.000026985805,0.0000013418334],"about_ca_topic_score_codex":0.019928034,"about_ca_topic_score_gemma":0.012365899,"teacher_disagreement_score":0.019928034,"about_ca_system_score_codex":0.0008251966,"about_ca_system_score_gemma":0.0010628408,"threshold_uncertainty_score":0.039624095},"labels":[],"label_agreement":null},{"id":"W4404142719","doi":"10.3390/en17225552","title":"Infill Well Placement Optimization for Polymer Flooding in Offshore Oil Reservoirs via an Improved Archimedes Optimization Algorithm with a Halton Sequence","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"China National Offshore Oil Corporation","keywords":"Infill; Flooding (psychology); Towing; Submarine pipeline; Algorithm; Computer science; Engineering; Petroleum engineering; Structural engineering; Geotechnical engineering","score_opus":0.016301926948986415,"score_gpt":0.2671681203803885,"score_spread":0.2508661934314021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404142719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12219395,0.00026919972,0.8720763,0.00017467381,0.000046966616,0.000086175,0.00005321898,0.00035206828,0.0047474722],"genre_scores_gemma":[0.62890923,0.00021361394,0.36617416,0.00010081309,0.000018376735,0.00028684473,0.00013402889,0.00006162181,0.004101231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998498,0.000044290522,0.000011730035,0.000031295105,0.000041987805,0.00002099045],"domain_scores_gemma":[0.999726,0.000136365,0.00003643316,0.00001453438,0.00006778962,0.000018862524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042815786,0.00067660876,0.0006865122,0.00042390902,0.00031449372,0.000463943,0.00059053506,0.00089912076,0.001229527],"category_scores_gemma":[0.00077529426,0.0003937441,0.00061949226,0.00030649515,0.00035389783,0.00046092915,0.00063264894,0.00057449396,0.00018169403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031029558,0.000020171512,0.00053574395,0.000033819255,0.0000105247545,0.000050906354,0.000030338233,0.98034793,0.0025165074,0.0011765212,0.00019167385,0.015054824],"study_design_scores_gemma":[0.0000057385287,0.000020201644,0.000049292914,0.0000019601282,0.000002283267,0.0000061513956,0.0000049185683,0.99903846,0.0004973622,0.00019036247,0.00018099097,0.0000022701786],"about_ca_topic_score_codex":0.0049630883,"about_ca_topic_score_gemma":0.004122087,"teacher_disagreement_score":0.0049630883,"about_ca_system_score_codex":0.00032000404,"about_ca_system_score_gemma":0.00126325,"threshold_uncertainty_score":0.009868443},"labels":[],"label_agreement":null},{"id":"W4404240149","doi":"10.3390/en17225597","title":"Flow Separation Control and Aeroacoustic Effects of a Leading-Edge Slat over a Wind Turbine Blade","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Separation (statistics); Blade (archaeology); Turbine; Turbine blade; Flow separation; Flow (mathematics); Flow control (data); Leading edge; Marine engineering; Acoustics; Enhanced Data Rates for GSM Evolution; Aerodynamics; Materials science; Engineering; Geology; Environmental science; Aerospace engineering; Mechanics; Mechanical engineering; Physics; Computer science; Telecommunications; Boundary layer","score_opus":0.002654754775295259,"score_gpt":0.20909642696354053,"score_spread":0.20644167218824527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404240149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908048,0.00013476753,0.00808088,0.000020393749,0.00003206668,0.000007978284,0.000026111778,0.000058339458,0.00083465787],"genre_scores_gemma":[0.99871767,0.000035297475,0.0010405828,0.000004555789,0.0000028589118,0.0000022502795,0.000012098556,0.000003353978,0.00018135282],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988437,0.000012067342,0.000007733896,0.00002142968,0.00005076463,0.000023562938],"domain_scores_gemma":[0.9997812,0.00007332783,0.000042341668,0.000021616008,0.00006280669,0.000018780062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018590252,0.00029098446,0.00015882617,0.00017228138,0.00019018326,0.00025029507,0.00012612292,0.00017195576,0.000721678],"category_scores_gemma":[0.00033080744,0.00009210344,0.00019211756,0.00013020329,0.00030603644,0.00017936595,0.00017726023,0.0002133592,0.00009448433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046971827,0.00008744485,0.00290139,0.00012289447,0.00000804088,0.00033173172,0.00013094682,0.025197871,0.9463218,0.00033686284,0.00015416846,0.023937088],"study_design_scores_gemma":[0.00006297289,0.0032214704,0.025744958,0.000022277027,0.00002463299,0.00032372912,0.00022303696,0.17884326,0.7895032,0.00033487467,0.0016541871,0.000041425727],"about_ca_topic_score_codex":0.0005482119,"about_ca_topic_score_gemma":0.00064805476,"teacher_disagreement_score":0.000721678,"about_ca_system_score_codex":0.00011523999,"about_ca_system_score_gemma":0.00011561566,"threshold_uncertainty_score":0.0024142265},"labels":[],"label_agreement":null},{"id":"W4404241514","doi":"10.3390/en17225600","title":"A Comparative Analysis of Efficiency and Losses in a 5 kW Hybrid and Full-SiC Converter, for PV Applications in Austria","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Bundesamt für Energie","keywords":"Photovoltaic system; Automotive engineering; Electrical engineering; Engineering","score_opus":0.019560846486878,"score_gpt":0.27214774655338253,"score_spread":0.2525869000665045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404241514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98370415,0.00052134605,0.008498453,0.000028541112,0.000008389255,0.000015605761,0.0002711068,0.000121536454,0.0068308287],"genre_scores_gemma":[0.9976527,0.0001028255,0.0008033771,0.000004440839,0.000001362115,0.000005309578,0.00015434109,0.000020412395,0.0012553144],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996544,0.000052068925,0.000016755233,0.000049045997,0.00019235845,0.00003528997],"domain_scores_gemma":[0.999739,0.00012323058,0.000025474028,0.000024244631,0.000080460224,0.0000075564167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043941988,0.0002982748,0.0004979182,0.000674327,0.00022156,0.0006974167,0.00046249645,0.00036404113,0.00161479],"category_scores_gemma":[0.000455184,0.00013905464,0.00060095865,0.0007481527,0.00021448653,0.0005718501,0.00016266442,0.0001990639,0.0005622684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046819593,0.00050683256,0.03821287,0.0012020592,0.0003812035,0.0010852737,0.0005371485,0.339566,0.37446824,0.0041163443,0.0029333706,0.23230886],"study_design_scores_gemma":[0.00011536255,0.0022641432,0.17269018,0.00007919132,0.00032514296,0.0011154636,0.0004989932,0.5301162,0.28398094,0.0015497302,0.0071804575,0.000084220854],"about_ca_topic_score_codex":0.0011861405,"about_ca_topic_score_gemma":0.0012670349,"teacher_disagreement_score":0.00161479,"about_ca_system_score_codex":0.0006094286,"about_ca_system_score_gemma":0.00012019926,"threshold_uncertainty_score":0.005401969},"labels":[],"label_agreement":null},{"id":"W4404535636","doi":"10.3390/en17225802","title":"The Pushback Against Canada’s Carbon Pricing System: A Case Study of Two Canadian Provinces, Saskatchewan and Nova Scotia","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","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":"Dalhousie University","funders":"","keywords":"Tonne; Carbon tax; Greenhouse gas; Government (linguistics); Nova scotia; Carbon price; Emissions trading; Business; Economics; Natural resource economics; Agricultural economics; Engineering; Waste management; Geography","score_opus":0.007694339655964863,"score_gpt":0.21453283140121304,"score_spread":0.20683849174524818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404535636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936726,0.0018771966,0.00049769203,0.009169475,0.000094002084,0.00022449507,0.0009041963,0.000019912988,0.050487027],"genre_scores_gemma":[0.9859139,0.001309338,0.00065350276,0.0018001244,0.0000109510975,0.000040044382,0.00032069453,0.000017539533,0.009933877],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99668115,0.0005593809,0.000083294,0.00017976205,0.00071601407,0.0017803718],"domain_scores_gemma":[0.99508625,0.0010067252,0.00033435313,0.000117620046,0.0020334856,0.0014215417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014489244,0.0006059648,0.0005021598,0.002191563,0.02326559,0.005679904,0.002251768,0.0023856983,0.0033077502],"category_scores_gemma":[0.0038076474,0.0003677606,0.0006505595,0.0061270827,0.004805776,0.0010733288,0.0028880236,0.0024770445,0.00026145318],"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":false,"study_design_scores_codex":[0.00077853404,0.0010845356,0.45515275,0.001253353,0.00048533943,0.059678935,0.23634681,0.011191542,0.0046697212,0.08541052,0.07359732,0.070350625],"study_design_scores_gemma":[0.00008467198,0.00012229086,0.1673039,0.00059653743,0.00018693725,0.0016037598,0.7249981,0.004103302,0.0009463889,0.0018028117,0.09802025,0.00023099527],"about_ca_topic_score_codex":0.99853396,"about_ca_topic_score_gemma":0.9994844,"teacher_disagreement_score":0.14164056,"about_ca_system_score_codex":0.14164056,"about_ca_system_score_gemma":0.17406537,"threshold_uncertainty_score":0.9955753},"labels":[],"label_agreement":null},{"id":"W4404593005","doi":"10.3390/en17235825","title":"A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Voltage droop; Microgrid; Particle swarm optimization; Computer science; Control theory (sociology); Artificial neural network; Distributed generation; Engineering; Electronic engineering; Voltage; Renewable energy; Voltage source; Control (management); Electrical engineering","score_opus":0.012853186694514847,"score_gpt":0.2242085960279721,"score_spread":0.21135540933345726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404593005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03819812,0.00042630458,0.94929534,0.00016004125,0.000118145734,0.00008701258,0.00003377155,0.000491702,0.011189629],"genre_scores_gemma":[0.9631791,0.00018711103,0.032968502,0.000065333865,0.000032457432,0.00007363709,0.000033234297,0.000021303527,0.0034393482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986386,0.000019681067,0.000011217593,0.000040181203,0.000049419676,0.000015603297],"domain_scores_gemma":[0.99989116,0.000026196942,0.000019578509,0.000010055065,0.00004507717,0.000008027429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002214284,0.0007082836,0.00037670287,0.00025703365,0.000348972,0.0006708314,0.00087645213,0.00041095022,0.0017102374],"category_scores_gemma":[0.00042628386,0.00022177368,0.00024609506,0.00022560448,0.000295877,0.0005175822,0.0004378352,0.0005643422,0.00025715472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014553532,0.00012306741,0.0004173765,0.00013574157,0.000058486272,0.00018912631,0.00011002338,0.77481884,0.022044674,0.0074980534,0.0017908723,0.19266826],"study_design_scores_gemma":[0.00000823469,0.00004248238,0.00006479742,0.000004252703,0.00000613198,0.00001755841,0.0000037922168,0.9975944,0.0012717932,0.0005154863,0.0004669307,0.000004090479],"about_ca_topic_score_codex":0.003917219,"about_ca_topic_score_gemma":0.004956922,"teacher_disagreement_score":0.003917219,"about_ca_system_score_codex":0.00034368577,"about_ca_system_score_gemma":0.0003692621,"threshold_uncertainty_score":0.007788837},"labels":[],"label_agreement":null},{"id":"W4404692935","doi":"10.3390/en17235905","title":"Impact of Electric Vehicles Charging on Urban Residential Power Distribution Networks","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","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 Regina","funders":"Mitacs","keywords":"Distribution (mathematics); Automotive engineering; Electric vehicle; Power (physics); Transport engineering; Environmental science; Engineering; Mathematics; Physics","score_opus":0.00301506147610702,"score_gpt":0.20706076198346957,"score_spread":0.20404570050736254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404692935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97894865,0.0001394903,0.008896998,0.00029126054,0.000023782119,0.000025184383,0.00017414303,0.000116992844,0.011383483],"genre_scores_gemma":[0.99911326,0.000051029605,0.00039327788,0.0000129557175,0.000002813757,0.0000028847362,0.00005098077,0.000006443316,0.0003662433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992415,0.00035662446,0.000018309573,0.00006178962,0.00016659715,0.00015518171],"domain_scores_gemma":[0.9986072,0.00086582196,0.00014424718,0.00007492943,0.00024774167,0.00006008531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006555279,0.0004078471,0.0002442407,0.00034996017,0.0005613337,0.0006878508,0.00038047507,0.00031819878,0.0016627111],"category_scores_gemma":[0.0026125903,0.00017498876,0.00022645922,0.00079505186,0.00058914674,0.00094291865,0.00060491345,0.00041842356,0.00013792016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001287907,0.00006378893,0.017882237,0.00003016767,0.000023129915,0.00033959578,0.0000585306,0.9630594,0.0013656585,0.0039862613,0.000747886,0.012314544],"study_design_scores_gemma":[0.000015698535,0.00017737925,0.024828216,0.000014916482,0.00003622896,0.00014670729,0.000792609,0.9631758,0.0038162314,0.00531326,0.0016596781,0.000023296938],"about_ca_topic_score_codex":0.022008887,"about_ca_topic_score_gemma":0.032054923,"teacher_disagreement_score":0.022008887,"about_ca_system_score_codex":0.002047627,"about_ca_system_score_gemma":0.0006671695,"threshold_uncertainty_score":0.04376155},"labels":[],"label_agreement":null},{"id":"W4404711241","doi":"10.3390/en17235941","title":"Grey-Box Energy Modelling of Energy-Efficient House Using Hybrid Optimization Technique of Genetic Algorithms (GA) and Quasi-Newton Algorithms with Markov Chain Monte Carlo Uncertainty Distribution","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Markov chain Monte Carlo; Algorithm; Monte Carlo method; Genetic algorithm; Energy (signal processing); Computer science; Markov chain; Mathematical optimization; Mathematics; Machine learning; Statistics","score_opus":0.008554232924500152,"score_gpt":0.19171803654737815,"score_spread":0.18316380362287799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404711241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06151677,0.00034679132,0.928636,0.00018279708,0.000040815597,0.000089667796,0.00015865895,0.00028376986,0.008744768],"genre_scores_gemma":[0.8805205,0.0003267872,0.11362433,0.000068063986,0.000019460364,0.00039441173,0.00023527457,0.000076974495,0.0047341906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974674,0.00009940555,0.000010577847,0.000046560508,0.000064275504,0.00003240515],"domain_scores_gemma":[0.99951935,0.00031710052,0.000046415866,0.000019846906,0.000084380925,0.00001282957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069155206,0.0006478809,0.0009708738,0.0006113811,0.00056653516,0.0011424331,0.001103062,0.0013574719,0.001995284],"category_scores_gemma":[0.0011580267,0.00059314055,0.0011663234,0.0008444649,0.0007170745,0.0007088995,0.00061974267,0.00074065314,0.00023392518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024888259,0.0000018471128,0.00005057109,0.000005391719,0.000002644462,0.000007059953,0.000004809977,0.9987005,0.00011270154,0.0005660376,0.000023612285,0.0005223711],"study_design_scores_gemma":[0.0000011242577,0.0000018827865,0.000022041382,0.0000011259187,0.0000011223327,0.0000010775935,0.0000012113687,0.9995983,0.00004630727,0.0002801096,0.000044541845,0.0000011053901],"about_ca_topic_score_codex":0.026267286,"about_ca_topic_score_gemma":0.015297093,"teacher_disagreement_score":0.026267286,"about_ca_system_score_codex":0.0012015725,"about_ca_system_score_gemma":0.001401134,"threshold_uncertainty_score":0.05222881},"labels":[],"label_agreement":null},{"id":"W4404822850","doi":"10.3390/en17235981","title":"Transfer Learning for the Prediction of Energy Performance of Water-Cooled Electric Chillers: Grey-Box Models Versus Deep Neural Network (DNN) Models","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; Gina Cody School of Engineering and Computer Science, Concordia University","keywords":"Chiller; Artificial neural network; Deep learning; Artificial intelligence; Computer science; Engineering; Environmental science; Machine learning; Thermodynamics; Physics","score_opus":0.011451131055985763,"score_gpt":0.1802170709117897,"score_spread":0.16876593985580393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404822850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4908826,0.0012913061,0.5007203,0.00076490024,0.00012941577,0.00011770198,0.00027824516,0.0011089317,0.004706461],"genre_scores_gemma":[0.9833802,0.00018062735,0.014839126,0.0000660886,0.000016336204,0.000044095723,0.00014828402,0.000020063771,0.0013052161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983954,0.000042667827,0.0000110407145,0.000052962998,0.000032080145,0.000021640557],"domain_scores_gemma":[0.9993074,0.0004722273,0.000062550556,0.000030598418,0.0001039569,0.000023208444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010509448,0.0009835458,0.00050155446,0.00039098348,0.00019926841,0.0006514284,0.0008635696,0.0008592162,0.00088551285],"category_scores_gemma":[0.0024882073,0.00029377895,0.00049883605,0.0003845297,0.0005209096,0.0011230385,0.00047960502,0.0014002869,0.0001865661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055272518,0.00004114409,0.00089226296,0.000022715358,0.000017170261,0.000022021626,0.000021731155,0.98309326,0.001010618,0.00051194907,0.00018822061,0.014123692],"study_design_scores_gemma":[0.0000012082921,0.000007906673,0.00014015687,0.0000016716386,0.0000014649772,8.548021e-7,0.0000020698044,0.99919564,0.00032376958,0.00030293988,0.000020492844,0.0000018009631],"about_ca_topic_score_codex":0.0142496005,"about_ca_topic_score_gemma":0.007579974,"teacher_disagreement_score":0.0142496005,"about_ca_system_score_codex":0.0011267542,"about_ca_system_score_gemma":0.00053360563,"threshold_uncertainty_score":0.028333306},"labels":[],"label_agreement":null},{"id":"W4404855979","doi":"10.3390/en17236010","title":"Experiments and Heat Transfer Correlation Validations of Low-Parameter Region of sCO2 Flow in a Long Thin Vertical Loop","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Jiangsu University; International Atomic Energy Agency; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Loop (graph theory); Mechanics; Flow (mathematics); Heat transfer; Materials science; Thermodynamics; Physics; Environmental science; Mathematics","score_opus":0.015239149034622545,"score_gpt":0.2447660874729181,"score_spread":0.22952693843829555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404855979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993375,0.00008716724,0.005350034,0.000024292513,0.000015393694,0.000026229798,0.00018220463,0.00017532344,0.0007644525],"genre_scores_gemma":[0.9973488,0.000060279228,0.0019852754,0.0000071585023,0.00000518789,0.000028405408,0.00021262327,0.000020969617,0.00033127127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996395,0.000025722953,0.000022750448,0.00008625191,0.00015273805,0.00007298663],"domain_scores_gemma":[0.99928004,0.0002673227,0.00008283263,0.00010308057,0.00022392573,0.000042850716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005600007,0.0006225019,0.00035890186,0.00070540997,0.0005777466,0.0005463491,0.00039624868,0.0006615297,0.0010381038],"category_scores_gemma":[0.001318619,0.0001522129,0.0004458672,0.0005689049,0.0007342911,0.0005748991,0.00045343005,0.0005383893,0.00017331164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082461216,0.0005336632,0.015378885,0.00021522088,0.000022930984,0.0002684095,0.00037576052,0.06899794,0.8966679,0.0009233527,0.00034661393,0.015444621],"study_design_scores_gemma":[0.000038909347,0.0009628319,0.011161731,0.000017497705,0.00002344627,0.000065201864,0.00018141534,0.20872925,0.77704394,0.00031131707,0.0014132124,0.0000512223],"about_ca_topic_score_codex":0.0031431064,"about_ca_topic_score_gemma":0.00222866,"teacher_disagreement_score":0.0031431064,"about_ca_system_score_codex":0.00033900046,"about_ca_system_score_gemma":0.0004653971,"threshold_uncertainty_score":0.0062496066},"labels":[],"label_agreement":null},{"id":"W4404960594","doi":"10.3390/en17236063","title":"Domain-Specific Large Language Model for Renewable Energy and Hydrogen Deployment Strategies","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Topic Modeling","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Software deployment; Computer science; Domain (mathematical analysis); Environmental economics; Work (physics); Engineering; Economics; Mechanical engineering; Electrical engineering","score_opus":0.017332663688469176,"score_gpt":0.2462847393560578,"score_spread":0.22895207566758863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404960594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1325761,0.0026034287,0.8286638,0.004674029,0.0004979807,0.0003342205,0.009482536,0.01016308,0.011004778],"genre_scores_gemma":[0.79014575,0.00071586075,0.18493406,0.00088963297,0.00022099506,0.0006904449,0.0130647225,0.0007824218,0.008555954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993325,0.00034252342,0.000036437163,0.00019391249,0.000048741716,0.000045842477],"domain_scores_gemma":[0.99676114,0.0026571397,0.00011547631,0.00015337304,0.00022236937,0.00009052082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016850622,0.001025506,0.00048605938,0.0010954974,0.00044742163,0.0013200645,0.0013130183,0.0015141496,0.0050444305],"category_scores_gemma":[0.0062716347,0.0004626305,0.0010980185,0.00077826506,0.00041315774,0.0022768886,0.0010491128,0.002769202,0.0028329082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005030277,0.00034163875,0.009599844,0.0005828091,0.00022881669,0.0005038177,0.0009677244,0.7113943,0.0073606204,0.024699293,0.038399283,0.20541884],"study_design_scores_gemma":[0.000016901255,0.0000200374,0.00042955342,0.000020688407,0.000018369386,0.000036819154,0.00006049098,0.9855592,0.0007325111,0.009577761,0.0035158538,0.000011801261],"about_ca_topic_score_codex":0.0072243083,"about_ca_topic_score_gemma":0.01661039,"teacher_disagreement_score":0.0072243083,"about_ca_system_score_codex":0.0012140885,"about_ca_system_score_gemma":0.0011431719,"threshold_uncertainty_score":0.016875327},"labels":[],"label_agreement":null},{"id":"W4405185970","doi":"10.3390/en17236201","title":"Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Herzberg Institute of Astrophysics; University of Victoria","funders":"","keywords":"Mean absolute percentage error; Mean squared error; Computer science; Photovoltaic system; Renewable energy; Random forest; Gradient boosting; Smart grid; Convolutional neural network; Efficient energy use; Energy consumption; Artificial neural network; Real-time computing; Artificial intelligence; Engineering; Electrical engineering; Statistics; Mathematics","score_opus":0.010601443701817693,"score_gpt":0.2054413155634418,"score_spread":0.1948398718616241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405185970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6288538,0.0013243156,0.33987868,0.00089250284,0.000094696064,0.0001151789,0.0014508665,0.0023020606,0.025087835],"genre_scores_gemma":[0.9791607,0.00010989613,0.016723154,0.00006359947,0.000006583701,0.000035273955,0.00055083743,0.000056123885,0.003293897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986756,0.000026738742,0.0000039792894,0.000029832467,0.000024213019,0.00004770339],"domain_scores_gemma":[0.99987626,0.00005646499,0.000011412536,0.000009901001,0.000027272285,0.000018665496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002613607,0.0007645673,0.00066219777,0.00034495693,0.00037412235,0.0009382497,0.0008441539,0.0007664275,0.002685652],"category_scores_gemma":[0.00050117116,0.000376014,0.00043418224,0.0005745525,0.00040717176,0.00070462585,0.00066247483,0.0006616306,0.00033221132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021430369,0.000022128488,0.0005777333,0.000011690412,0.000008320118,0.000033508113,0.0000045597044,0.9923878,0.0002621064,0.00043370455,0.00043481652,0.0058022025],"study_design_scores_gemma":[0.000002379624,0.000004674026,0.0001357213,0.0000012007099,0.0000016614782,0.000002082105,0.0000061026176,0.9993206,0.0001061167,0.00028939746,0.00012869311,0.0000013200391],"about_ca_topic_score_codex":0.08044191,"about_ca_topic_score_gemma":0.1185365,"teacher_disagreement_score":0.08044191,"about_ca_system_score_codex":0.002029369,"about_ca_system_score_gemma":0.0013113037,"threshold_uncertainty_score":0.15994734},"labels":[],"label_agreement":null},{"id":"W4405327460","doi":"10.3390/en17246270","title":"Resilient Operation Strategies for Integrated Power-Gas Systems","year":2024,"lang":"en","type":"article","venue":"Energies","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":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Power to gas; Power (physics); Reliability engineering; Computer science; Process engineering; Environmental science; Engineering; Chemistry; Physics","score_opus":0.006543139195015727,"score_gpt":0.21524214786515009,"score_spread":0.20869900867013436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405327460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050313156,0.00031723094,0.94327873,0.00017347149,0.000034167813,0.00006818892,0.00006212433,0.0003010172,0.005452027],"genre_scores_gemma":[0.9731025,0.00013111242,0.025003817,0.00003378832,0.000015277683,0.00007046646,0.00004576751,0.000029898161,0.0015673714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972445,0.00008547768,0.000009339589,0.00006078021,0.0000631934,0.00005681467],"domain_scores_gemma":[0.99974316,0.0001258114,0.00006015004,0.000013269304,0.000041416995,0.00001611535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007147909,0.0014526339,0.0006507889,0.0006322571,0.0004247617,0.0008553483,0.0006237627,0.0006319995,0.0019582121],"category_scores_gemma":[0.0012566951,0.0003918129,0.00056595256,0.0003798349,0.00071596797,0.0008203619,0.0010157257,0.00082324725,0.00016213064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011739493,0.000005314232,0.00009925665,0.000010461704,0.000010735585,0.000021421585,0.0000114939785,0.9935308,0.0004627435,0.0024129883,0.00007155409,0.0033515517],"study_design_scores_gemma":[0.000001283197,0.0000115106195,0.00003287637,0.0000017081699,0.000002788491,0.0000034156476,0.0000049797673,0.99865484,0.00012115893,0.0010858235,0.000078358615,0.0000012990783],"about_ca_topic_score_codex":0.0072748135,"about_ca_topic_score_gemma":0.004451007,"teacher_disagreement_score":0.0072748135,"about_ca_system_score_codex":0.00097559026,"about_ca_system_score_gemma":0.00079963007,"threshold_uncertainty_score":0.014464915},"labels":[],"label_agreement":null},{"id":"W4405374891","doi":"10.3390/en17246292","title":"Selective Recovery of Zinc from Alkaline Batteries via a Basic Leaching Process and the Use of a Machine Learning-Based Digital Twin for Predictive Purposes","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Leaching (pedology); Zinc; Process (computing); Computer science; Process engineering; Materials science; Engineering; Metallurgy; Environmental science; Operating system","score_opus":0.012206599385781025,"score_gpt":0.23246100991592003,"score_spread":0.220254410530139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405374891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74463797,0.00026680777,0.2526437,0.00007224439,0.000040574774,0.000046353493,0.00016809984,0.00052601256,0.0015982473],"genre_scores_gemma":[0.93088174,0.00025516533,0.067566626,0.000017837727,0.000005623391,0.000035825007,0.00011188746,0.00001691563,0.0011083321],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991,0.00000997355,0.000008260056,0.00002414443,0.000038961694,0.000008723394],"domain_scores_gemma":[0.99992335,0.000020598442,0.00001546973,0.000017219312,0.000019357421,0.0000039761812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020371967,0.00025481806,0.00024881464,0.0003416849,0.00009832239,0.00034464843,0.00040321375,0.00027121048,0.0003815575],"category_scores_gemma":[0.00047114896,0.0001855082,0.00030010976,0.0004033306,0.00025938664,0.0005087051,0.00033331817,0.0002114055,0.000099282166],"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":[0.00035327816,0.000083982006,0.0026223913,0.0001725376,0.000022594764,0.00017321917,0.000079325786,0.07088044,0.8363786,0.0013529647,0.00014208876,0.0877386],"study_design_scores_gemma":[0.000007981121,0.00020289504,0.001716034,0.000006982833,0.00002751149,0.00015386647,0.00002255529,0.4318734,0.5644094,0.0003548692,0.0012062647,0.000018241268],"about_ca_topic_score_codex":0.00076047966,"about_ca_topic_score_gemma":0.0009851299,"teacher_disagreement_score":0.00076047966,"about_ca_system_score_codex":0.00021747309,"about_ca_system_score_gemma":0.00023531726,"threshold_uncertainty_score":0.0015778542},"labels":[],"label_agreement":null},{"id":"W4405378599","doi":"10.3390/en17246285","title":"Prioritizing Research for Enhancing the Technology Readiness Level of Wind Turbine Blade Leading-Edge Erosion Solutions","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wind Energy Institute of Canada","funders":"Sandia National Laboratories; HORIZON EUROPE Framework Programme; Energiteknologisk udviklings- og demonstrationsprogram; National Science Foundation","keywords":"Turbine; Wind power; Turbine blade; Erosion; Environmental science; Cost of electricity by source; Computer science; Crew; Enhanced Data Rates for GSM Evolution; Marine engineering; Reliability engineering; Meteorology; Electricity generation; Engineering; Power (physics); Mechanical engineering; Artificial intelligence; Aeronautics; Geology","score_opus":0.14973867916073977,"score_gpt":0.3492108026750637,"score_spread":0.19947212351432395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405378599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43321955,0.027404167,0.33691928,0.06763527,0.0012793029,0.0058416906,0.002812332,0.0022944394,0.12259394],"genre_scores_gemma":[0.6499641,0.007934045,0.33293387,0.0022030827,0.00018748001,0.000972757,0.0013836817,0.000166981,0.004253987],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9832028,0.008611156,0.0011234381,0.00089308055,0.0047661974,0.0014033297],"domain_scores_gemma":[0.90647674,0.04413763,0.0070023537,0.004286734,0.033903748,0.0041928845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036779296,0.000874074,0.0008912456,0.005369916,0.0012878592,0.008493287,0.0016677013,0.001445976,0.005909206],"category_scores_gemma":[0.049915176,0.00037533982,0.001080555,0.0032422154,0.0010278666,0.00551617,0.0019286833,0.0016643862,0.0016104332],"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":[0.00047828368,0.0011706654,0.04700095,0.010326815,0.00030573277,0.00082554546,0.0053989366,0.014604096,0.041859448,0.036575038,0.016692337,0.8247622],"study_design_scores_gemma":[0.00039066354,0.007817719,0.15307778,0.015956046,0.001495711,0.0011484864,0.09168694,0.07725366,0.12917982,0.13968463,0.3815748,0.0007336768],"about_ca_topic_score_codex":0.004020217,"about_ca_topic_score_gemma":0.008644795,"teacher_disagreement_score":0.036779296,"about_ca_system_score_codex":0.003943196,"about_ca_system_score_gemma":0.02073646,"threshold_uncertainty_score":0.19450986},"labels":[],"label_agreement":null},{"id":"W4405573643","doi":"10.3390/en17246397","title":"A New Approach for Measuring and Comparing the Energy Performances in Hydraulic Systems","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic and Pneumatic 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":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Efficient energy use; Energy (signal processing); Variety (cybernetics); Computer science; Electronic circuit; Measure (data warehouse); Hydraulic machinery; Reliability engineering; Power (physics); Industrial engineering; Energy management; Control engineering; Engineering; Mechanical engineering; Electrical engineering; Mathematics; Data mining; Artificial intelligence","score_opus":0.02812977478571208,"score_gpt":0.21058331807771893,"score_spread":0.18245354329200686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405573643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03861052,0.0015247526,0.9454833,0.00024783483,0.00015244045,0.00016465476,0.00029415515,0.001082461,0.012439792],"genre_scores_gemma":[0.7402004,0.0013236036,0.253666,0.00026908016,0.0001624376,0.00047808903,0.00041137615,0.0002085925,0.0032804536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966589,0.0008076459,0.00025017842,0.00061438885,0.0014857226,0.00018314653],"domain_scores_gemma":[0.9980373,0.00077681226,0.00038558588,0.0003844539,0.00035479382,0.00006110124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020201039,0.0010888496,0.00065373204,0.003979111,0.0006022804,0.0014083345,0.001405901,0.0012422462,0.001777663],"category_scores_gemma":[0.00447478,0.00037030666,0.0007217911,0.0018964623,0.0024551128,0.003518398,0.0018955204,0.0013545352,0.0005829903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045966828,0.00034916235,0.010007302,0.0009771101,0.00018647005,0.0002808764,0.0009140453,0.085190445,0.3815776,0.19008179,0.0023464297,0.32762912],"study_design_scores_gemma":[0.00005422063,0.002155031,0.017207593,0.00020592827,0.00017070286,0.0014087273,0.00063196005,0.42598304,0.41206187,0.09060406,0.049027618,0.0004892632],"about_ca_topic_score_codex":0.00063410576,"about_ca_topic_score_gemma":0.00038840587,"teacher_disagreement_score":0.003979111,"about_ca_system_score_codex":0.000871088,"about_ca_system_score_gemma":0.00058966386,"threshold_uncertainty_score":0.010683477},"labels":[],"label_agreement":null},{"id":"W4405720626","doi":"10.3390/en17246475","title":"Load Optimization for Connected Modern Buildings Using Deep Hybrid Machine Learning in Island Mode","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Herzberg Institute of Astrophysics; University of Victoria","funders":"","keywords":"Mean absolute percentage error; Mean squared error; Photovoltaic system; Random forest; Smart grid; Computer science; Automotive engineering; Efficient energy use; Building automation; Artificial neural network; Real-time computing; Engineering; Artificial intelligence; Electrical engineering; Statistics; Mathematics","score_opus":0.008350669229516309,"score_gpt":0.21777362157982658,"score_spread":0.20942295235031028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405720626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53549814,0.0012952116,0.44501618,0.0007110795,0.0001116523,0.00007368613,0.0004761658,0.002409578,0.014408269],"genre_scores_gemma":[0.98721236,0.00007597155,0.010133599,0.00007211881,0.000013638275,0.000025265315,0.00023118222,0.000036667403,0.0021991497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990606,0.00001787604,0.000004083358,0.00002558491,0.000017604687,0.000028730383],"domain_scores_gemma":[0.9998685,0.000066134045,0.000013064759,0.0000071254267,0.00003287495,0.000012221999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002518556,0.0009470355,0.00066718506,0.00039626588,0.0003316528,0.00074866944,0.00067808153,0.0007850616,0.0019004805],"category_scores_gemma":[0.00046083098,0.00042812256,0.0006022338,0.00039428138,0.0003173829,0.00062741764,0.0005090679,0.0005957246,0.0002953618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025378626,0.000024316196,0.0006780645,0.000012715764,0.000013846392,0.00002809967,0.0000076205683,0.98682284,0.00030424318,0.00019752656,0.00029408195,0.011591309],"study_design_scores_gemma":[0.000001078452,0.000003288003,0.00008339021,6.356086e-7,0.0000010098514,0.0000010248948,0.0000022611673,0.99969745,0.000044626075,0.00013195036,0.000032598324,7.939791e-7],"about_ca_topic_score_codex":0.037797373,"about_ca_topic_score_gemma":0.040561303,"teacher_disagreement_score":0.037797373,"about_ca_system_score_codex":0.0011384051,"about_ca_system_score_gemma":0.00065843697,"threshold_uncertainty_score":0.07515472},"labels":[],"label_agreement":null},{"id":"W4405720656","doi":"10.3390/en17246465","title":"Thermophysical Modeling of the Vaporization Process in a Motive Nozzle with a Profiled Supersonic Part","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Education and Science of Ukraine","keywords":"Nozzle; Supersonic speed; Vaporization; Mechanics; Discharge coefficient; Mechanical engineering; Engineering; Thermodynamics; Physics","score_opus":0.0063924621681853465,"score_gpt":0.1967212424975789,"score_spread":0.19032878032939357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405720656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52369857,0.0012375,0.45649612,0.00017143087,0.00011155699,0.00017400419,0.00028956108,0.0005187011,0.017302582],"genre_scores_gemma":[0.9719743,0.00047102087,0.024277177,0.000013859978,0.000010707966,0.000089658664,0.0001073652,0.000034423163,0.0030215406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998311,0.000021528433,0.000010605002,0.000030677314,0.000084890075,0.000021261332],"domain_scores_gemma":[0.9999006,0.00003258521,0.000019297078,0.000015059743,0.000027209895,0.000005287143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029658672,0.00031102772,0.00042555752,0.00028031625,0.00032310394,0.00057260663,0.00054681645,0.00064318307,0.0008076175],"category_scores_gemma":[0.00034300034,0.00022412684,0.00075557805,0.00028223987,0.00034323047,0.00044152874,0.00024298854,0.00028833363,0.00018590961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005937293,0.00007013958,0.0022342657,0.00019305122,0.00001976245,0.00031517044,0.00014099543,0.83767605,0.139076,0.006569923,0.0002305436,0.013414751],"study_design_scores_gemma":[0.0000066247967,0.00006341506,0.0011351963,0.000007635995,0.000008291104,0.000066351575,0.000013888799,0.9833662,0.013891099,0.00029123144,0.001138199,0.000011959427],"about_ca_topic_score_codex":0.0019140453,"about_ca_topic_score_gemma":0.00094627246,"teacher_disagreement_score":0.0019140453,"about_ca_system_score_codex":0.00045646494,"about_ca_system_score_gemma":0.00070846593,"threshold_uncertainty_score":0.0038057566},"labels":[],"label_agreement":null},{"id":"W4405722110","doi":"10.3390/en17246445","title":"A Strategic Framework for Net-Zero Transitions: Integrating Fuzzy Logic and the DICE Model for Optimizing Ontario’s Energy Future","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Greenhouse gas; Renewable energy; Zero-energy building; Climate change; Zero emission; Electricity generation; Climate change mitigation; Energy transition; Nuclear power; Fossil fuel; Portfolio; Environmental economics; Engineering; Environmental science; Business; Economics; Power (physics)","score_opus":0.09812921447926846,"score_gpt":0.2670050425174281,"score_spread":0.16887582803815965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405722110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17001942,0.0012751864,0.56985706,0.0069423914,0.00018408282,0.0005660387,0.0027811015,0.0001936334,0.2481811],"genre_scores_gemma":[0.92432326,0.0007046524,0.057822336,0.00017642084,0.000025009795,0.00023248185,0.00045468647,0.000036493922,0.016224626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952495,0.00016465443,0.000013629421,0.00007049624,0.00013496383,0.00009137563],"domain_scores_gemma":[0.999577,0.00012628798,0.000040534647,0.00001684985,0.00016772583,0.00007153382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011106684,0.0009440366,0.0005675401,0.0009274185,0.0012405573,0.0025076426,0.0017496754,0.0014450689,0.0042367],"category_scores_gemma":[0.0015408032,0.00049798045,0.00068686984,0.00085557735,0.00152347,0.001370069,0.0014990302,0.0011135283,0.00025422158],"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":[0.000031816653,0.000017122646,0.0007571051,0.000038593622,0.00001700877,0.0001028238,0.00011167508,0.8948206,0.00023749021,0.09892325,0.0012686509,0.0036739225],"study_design_scores_gemma":[0.00001814021,0.000020736992,0.00032784633,0.0000193241,0.000013722546,0.000015252181,0.00017899614,0.9683508,0.00010303066,0.025857104,0.0050781732,0.000016909937],"about_ca_topic_score_codex":0.48882982,"about_ca_topic_score_gemma":0.52881575,"teacher_disagreement_score":0.51117015,"about_ca_system_score_codex":0.016870663,"about_ca_system_score_gemma":0.013880289,"threshold_uncertainty_score":0.971969},"labels":[],"label_agreement":null},{"id":"W4405722475","doi":"10.3390/en17246439","title":"Energy in Smart Cities: Technological Trends and Prospects","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Politechnika Bialostocka","keywords":"Renewable energy; Context (archaeology); Efficient energy use; Environmental economics; Sustainable development; Cornerstone; Energy engineering; Smart city; Business; Smart grid; Energy management; Computer science; Engineering; Political science; Energy (signal processing); Economics; Internet of Things; Computer security; Geography","score_opus":0.007439974919265274,"score_gpt":0.19412671136421902,"score_spread":0.18668673644495376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405722475","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":[0.015437646,0.824932,0.005278139,0.083387084,0.00216997,0.000039913586,0.00052570825,0.000118452386,0.068111084],"genre_scores_gemma":[0.114574365,0.8648565,0.0049843783,0.007279113,0.0025870036,0.000045900073,0.0004932262,0.00003801057,0.005141543],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936086,0.00015274629,0.000049322603,0.00011128193,0.00022782541,0.00009802958],"domain_scores_gemma":[0.99745435,0.0012243304,0.0003180944,0.00009595094,0.00069907156,0.00020822776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016608933,0.00040308133,0.00043174424,0.002900596,0.00073523854,0.004049114,0.0005710478,0.0024926388,0.005719628],"category_scores_gemma":[0.002460899,0.00020809886,0.0005267757,0.007514349,0.0014479541,0.010055491,0.0017254065,0.0022950973,0.0013903792],"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":[0.000112344576,0.0001345562,0.00815715,0.005980282,0.000059931222,0.00051150133,0.000948359,0.0024007938,0.0015489896,0.3101728,0.05495895,0.6150143],"study_design_scores_gemma":[0.0000119302495,0.00013302159,0.009319877,0.0040121926,0.00006149533,0.00088671956,0.0033182215,0.00240311,0.0009897744,0.107722245,0.87107843,0.00006291625],"about_ca_topic_score_codex":0.0014421963,"about_ca_topic_score_gemma":0.0021871252,"teacher_disagreement_score":0.005719628,"about_ca_system_score_codex":0.0017160443,"about_ca_system_score_gemma":0.002592435,"threshold_uncertainty_score":0.019134104},"labels":[],"label_agreement":null},{"id":"W4405758336","doi":"10.3390/en18010012","title":"Performance Enhancement of a Building-Integrated Photovoltaic/Thermal System Coupled with an Air Source Heat Pump","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Building-integrated photovoltaics; Photovoltaic system; Zero-energy building; Electricity; Heat pump; Emissivity; Thermal; Architectural engineering; Environmental science; Process engineering; Engineering; Automotive engineering; Solar energy; Mechanical engineering; Electrical engineering; Heat exchanger; Meteorology; Physics; Optics","score_opus":0.00897760852105276,"score_gpt":0.21428073008735732,"score_spread":0.20530312156630456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405758336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985962,0.00011827378,0.011338344,0.000025420892,0.000018272547,0.000018264689,0.00006611523,0.0003519307,0.002101389],"genre_scores_gemma":[0.9972307,0.000037170186,0.0022445596,0.0000051414577,0.0000022795396,0.0000058602604,0.000021879314,0.0000081621465,0.0004442732],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997949,0.000029878358,0.000008662389,0.000044746517,0.000088996116,0.00003275446],"domain_scores_gemma":[0.9999075,0.000019092284,0.000014668146,0.000011959684,0.0000358176,0.000010976654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020320366,0.00026844547,0.00044590075,0.00019432245,0.00031624478,0.00044620477,0.00045536476,0.00026287866,0.001597129],"category_scores_gemma":[0.00024186658,0.00019937483,0.00031244717,0.0002969993,0.00013730749,0.0003431354,0.00026591218,0.0002589967,0.00029692196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001028556,0.00025412918,0.005566691,0.00026833074,0.00011821284,0.00020678277,0.0001080896,0.0863207,0.8640336,0.00062812277,0.0005618479,0.04090504],"study_design_scores_gemma":[0.000106621206,0.0021275897,0.019497514,0.000016659811,0.0001909511,0.00020997314,0.00006848283,0.36563838,0.60910016,0.00014778755,0.0028495311,0.000046314562],"about_ca_topic_score_codex":0.0018354075,"about_ca_topic_score_gemma":0.0019685389,"teacher_disagreement_score":0.0018354075,"about_ca_system_score_codex":0.00027525288,"about_ca_system_score_gemma":0.00025900212,"threshold_uncertainty_score":0.0053429604},"labels":[],"label_agreement":null},{"id":"W4405810597","doi":"10.3390/en18010042","title":"A Survey on Using Second-Life Batteries in Stationary Energy Storage Applications","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Reuse; Energy storage; Environmental economics; Battery capacity; Process (computing); Key (lock); Business; Risk analysis (engineering); Engineering; Computer science; Waste management; Economics; Computer security","score_opus":0.029614073686039768,"score_gpt":0.2904848434072156,"score_spread":0.26087076972117584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405810597","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14567156,0.7161333,0.0166667,0.010261363,0.00095124595,0.0001824197,0.0024616458,0.00038455438,0.107287176],"genre_scores_gemma":[0.19608536,0.77177787,0.006173945,0.0031541814,0.00029403163,0.00009308031,0.0022924629,0.00013330634,0.019995771],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981166,0.00035333223,0.00025405744,0.00024920056,0.0008818689,0.0001448986],"domain_scores_gemma":[0.9928824,0.003684141,0.0007210526,0.00024669754,0.00230785,0.0001579551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024293824,0.00044241454,0.00040823375,0.0027060066,0.0005033231,0.001884633,0.00070883735,0.0008438544,0.0054638563],"category_scores_gemma":[0.005251518,0.00029984378,0.00053985155,0.006146024,0.0004854625,0.0037620023,0.0007940097,0.0008153454,0.0026533976],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016771015,0.00010269275,0.019943614,0.0059729875,0.00006356587,0.0003534325,0.0010138059,0.0009283663,0.0068724607,0.008692668,0.031655934,0.9242327],"study_design_scores_gemma":[0.0000054985485,0.00026499075,0.021103013,0.0028386093,0.00007985862,0.0022332203,0.002368012,0.0005572925,0.0065987087,0.0012816052,0.9626196,0.0000495454],"about_ca_topic_score_codex":0.002737628,"about_ca_topic_score_gemma":0.0044632093,"teacher_disagreement_score":0.0054638563,"about_ca_system_score_codex":0.00065941375,"about_ca_system_score_gemma":0.0011000868,"threshold_uncertainty_score":0.01827848},"labels":[],"label_agreement":null},{"id":"W4405832428","doi":"10.3390/en18010059","title":"Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies","year":2024,"lang":"en","type":"review","venue":"Energies","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SCADA; Turbine; Wind power; Reliability engineering; Computer science; Engineering; Environmental science; Aerospace engineering; Electrical engineering","score_opus":0.0617953506498692,"score_gpt":0.4335199169812701,"score_spread":0.37172456633140094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405832428","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":[0.000310544,0.9975594,0.0007345043,0.000224127,0.000115132614,0.00001406625,0.00005372434,0.0000111522,0.0009773821],"genre_scores_gemma":[0.0021599943,0.9965926,0.0007006275,0.000115440926,0.000100056735,0.000014306744,0.00007781629,0.000003431049,0.00023572822],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994215,0.00011390294,0.00012174334,0.00011940592,0.00019228575,0.000031161286],"domain_scores_gemma":[0.9969553,0.0020002925,0.00029998107,0.00006868445,0.00061542133,0.00006043045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001595015,0.0010787772,0.0014651798,0.003603132,0.00029403844,0.0013844228,0.0011001796,0.0010306318,0.002970441],"category_scores_gemma":[0.0033562467,0.00054688577,0.0011972449,0.0044940556,0.00039959708,0.0018658299,0.00062786025,0.0009238538,0.0009434035],"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":[0.00007257078,0.000076212025,0.0005300702,0.059795856,0.00029271387,0.00012423599,0.000121968835,0.0015940255,0.00080728147,0.0046556387,0.012328923,0.9196004],"study_design_scores_gemma":[0.000029645516,0.00039875493,0.003971888,0.03953066,0.0014723385,0.0011488375,0.00029509177,0.0015013955,0.0012826987,0.004354061,0.9459211,0.00009353697],"about_ca_topic_score_codex":0.0028928898,"about_ca_topic_score_gemma":0.0038217867,"teacher_disagreement_score":0.003603132,"about_ca_system_score_codex":0.000634318,"about_ca_system_score_gemma":0.0022858754,"threshold_uncertainty_score":0.009937048},"labels":[],"label_agreement":null},{"id":"W4406048608","doi":"10.3390/en18010180","title":"Design and Optimization of the Heatsink of a Level 1 Electric Vehicle Charger","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Electric vehicle; Automotive engineering; Heat sink; Computer science; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.01232779703988482,"score_gpt":0.1980468967314604,"score_spread":0.18571909969157557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406048608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4810612,0.00096014485,0.49513975,0.00027178586,0.0001840855,0.0004639912,0.0007371957,0.0020612264,0.01912059],"genre_scores_gemma":[0.94334906,0.00033384535,0.051728513,0.00001808732,0.000012168269,0.00024021993,0.00018291027,0.00012075066,0.0040144566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998097,0.000024615796,0.000008578489,0.00004986722,0.00007243656,0.000034754747],"domain_scores_gemma":[0.99985874,0.000030966166,0.000036551668,0.000016907858,0.000044449258,0.000012274466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031347026,0.00079768867,0.00058378937,0.00031753725,0.0002839873,0.00074447185,0.0010585494,0.0004265548,0.0021605655],"category_scores_gemma":[0.00045818687,0.00037215062,0.0005415843,0.00017404342,0.00021075783,0.0006038176,0.00033478058,0.0003645035,0.0006767507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025736718,0.00018265346,0.0032736019,0.0008645251,0.00010983906,0.00052544,0.00019302961,0.60191095,0.3441548,0.004314494,0.0015992182,0.04261403],"study_design_scores_gemma":[0.00007103523,0.0012951872,0.004329776,0.000058619476,0.00017459833,0.00036713772,0.00008630469,0.7922621,0.18710378,0.0010048365,0.013181197,0.00006544247],"about_ca_topic_score_codex":0.001215785,"about_ca_topic_score_gemma":0.0015702306,"teacher_disagreement_score":0.0021605655,"about_ca_system_score_codex":0.00068109256,"about_ca_system_score_gemma":0.00084721093,"threshold_uncertainty_score":0.007227838},"labels":[],"label_agreement":null},{"id":"W4406086295","doi":"10.3390/en18010217","title":"A Hybrid Dual-Axis Solar Tracking System: Combining Light-Sensing and Time-Based GPS for Optimal Energy Efficiency","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Global Positioning System; Tracking (education); Dual (grammatical number); Computer science; Energy (signal processing); Photovoltaic system; Physics; Engineering; Electrical engineering; Telecommunications","score_opus":0.008853887572308858,"score_gpt":0.22168087049830507,"score_spread":0.21282698292599622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406086295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26657343,0.0007845702,0.71032983,0.00020501231,0.0002971311,0.00019438445,0.00042424118,0.0077868802,0.013404532],"genre_scores_gemma":[0.86822236,0.00017386158,0.122439876,0.00010303788,0.000057111254,0.00008621017,0.00029515906,0.00010077395,0.00852158],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995859,0.000043688742,0.0000173407,0.00012730219,0.00018581329,0.00003997906],"domain_scores_gemma":[0.99979395,0.000023215183,0.000030271782,0.000039886945,0.00008886085,0.00002374338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022044635,0.00045943639,0.0004916293,0.00047723387,0.00032288962,0.0005726511,0.0008913624,0.00043024158,0.0025646908],"category_scores_gemma":[0.00027607288,0.00027227242,0.00020884823,0.00052836933,0.00015328063,0.0005939068,0.0006049417,0.00025382076,0.0010631568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066375727,0.00023269207,0.005495255,0.0003254423,0.00006450487,0.00030610725,0.00021084356,0.009819085,0.5371569,0.0017429342,0.0071843923,0.4367981],"study_design_scores_gemma":[0.000517835,0.0030872647,0.034100544,0.00010897133,0.00023998549,0.0026917525,0.00018980903,0.33951846,0.5391665,0.00149132,0.078659646,0.00022797684],"about_ca_topic_score_codex":0.0008801118,"about_ca_topic_score_gemma":0.0014131664,"teacher_disagreement_score":0.0025646908,"about_ca_system_score_codex":0.00021226956,"about_ca_system_score_gemma":0.0003032008,"threshold_uncertainty_score":0.008579791},"labels":[],"label_agreement":null},{"id":"W4406183010","doi":"10.3390/en18020240","title":"Lifecycle Management of Hydrogen Pipelines: Design, Maintenance, and Rehabilitation Strategies for Canada’s Clean Energy Transition","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pipeline transport; Rehabilitation; Clean energy; Business; Engineering; Environmental science; Environmental engineering; Medicine; Physical therapy","score_opus":0.004160443269442995,"score_gpt":0.18479888469473116,"score_spread":0.18063844142528818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406183010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59298605,0.005964565,0.2875819,0.0101064965,0.00017067647,0.0012549856,0.0008391634,0.0019692527,0.09912697],"genre_scores_gemma":[0.9126449,0.0022971134,0.064155124,0.00020460167,0.000011547273,0.00011637802,0.00040555006,0.0000928962,0.020071886],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994836,0.000041663196,0.000013803903,0.000037398222,0.0002961792,0.00012726015],"domain_scores_gemma":[0.99959975,0.000026157906,0.000037131533,0.000023804329,0.00025599363,0.00005720085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081838114,0.0003115869,0.00016904512,0.0008519109,0.0020222063,0.0014036761,0.00093357835,0.0004983724,0.0025833813],"category_scores_gemma":[0.0008017523,0.00020791599,0.00034646245,0.00050360843,0.00086553924,0.0013160236,0.0011316049,0.0003873696,0.0003718359],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035948676,0.00043024434,0.036964294,0.00076739676,0.00002988462,0.0009202395,0.0039394842,0.0796985,0.09344265,0.03880149,0.017022837,0.7276235],"study_design_scores_gemma":[0.00013985162,0.0017862023,0.108731516,0.00070081156,0.00021254068,0.0010786786,0.025602777,0.2926481,0.124123625,0.017243976,0.42742902,0.00030298196],"about_ca_topic_score_codex":0.4034881,"about_ca_topic_score_gemma":0.6092733,"teacher_disagreement_score":0.5965119,"about_ca_system_score_codex":0.0084758205,"about_ca_system_score_gemma":0.01757708,"threshold_uncertainty_score":0.80227906},"labels":[],"label_agreement":null},{"id":"W4406248180","doi":"10.3390/en18020278","title":"LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Qassim University","keywords":"Mean absolute percentage error; Benchmark (surveying); Mean squared error; Computer science; Adaptability; Electricity; Grid; Artificial intelligence; Artificial neural network; Statistics; Engineering; Mathematics; Economics","score_opus":0.007517397878145455,"score_gpt":0.21815589275927852,"score_spread":0.21063849488113306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406248180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.287936,0.002595834,0.6868873,0.0018196291,0.0006392636,0.00011740831,0.0010750688,0.0047074733,0.0142219765],"genre_scores_gemma":[0.92294234,0.0004641117,0.07183838,0.00032836178,0.0001231022,0.000051977568,0.0006591653,0.000105753286,0.0034868931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997272,0.00006164968,0.000018672148,0.00007745253,0.000069919035,0.000045026904],"domain_scores_gemma":[0.9993875,0.00035043393,0.000039753144,0.0000660355,0.00013490306,0.000021391024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010473577,0.0010025969,0.0005386185,0.0004661028,0.00036508447,0.00075126876,0.0008962132,0.0007715612,0.0013723491],"category_scores_gemma":[0.0031098821,0.00028625384,0.00040728415,0.0006548467,0.00026965857,0.0017124261,0.0008724532,0.0012294316,0.00060775666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031986734,0.00012431586,0.0032468538,0.00011347535,0.00013461364,0.00016530135,0.000107447064,0.6491507,0.007752769,0.0021786767,0.005347725,0.33135822],"study_design_scores_gemma":[0.0000054719744,0.000031546333,0.00031473505,0.00000700178,0.0000108420045,0.000019205188,0.000015064552,0.9969363,0.0011132095,0.0010627223,0.0004775899,0.0000063140815],"about_ca_topic_score_codex":0.012828011,"about_ca_topic_score_gemma":0.021104721,"teacher_disagreement_score":0.012828011,"about_ca_system_score_codex":0.00044288483,"about_ca_system_score_gemma":0.0008748527,"threshold_uncertainty_score":0.025506735},"labels":[],"label_agreement":null},{"id":"W4406709466","doi":"10.3390/en18030477","title":"Using Numerical Analysis to Design and Optimize River Hydrokinetic Turbines’ Capacity Factor to Address Seasonal Velocity Variations","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Resources Canada","keywords":"Environmental science; Marine engineering; Meteorology; Engineering; Geography","score_opus":0.03263533987051689,"score_gpt":0.265185481010561,"score_spread":0.2325501411400441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406709466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1869185,0.00040190437,0.78511226,0.0003484942,0.00011662925,0.00019258016,0.00030026957,0.0012471753,0.02536224],"genre_scores_gemma":[0.7793517,0.00025021748,0.21684435,0.0000697384,0.000010316624,0.0002861001,0.00021854619,0.0002142476,0.002754815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999841,0.00002577947,0.000008725304,0.000022542064,0.00007713912,0.000024809944],"domain_scores_gemma":[0.9997125,0.00010916462,0.000047684895,0.000022778335,0.000094782474,0.000013092329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044758883,0.0005400996,0.00048729454,0.00052364566,0.0003870508,0.0007768876,0.00044609397,0.0006612228,0.0024887114],"category_scores_gemma":[0.0012404976,0.0003986489,0.0005064474,0.00042804744,0.00035486135,0.00048498219,0.00031035653,0.00038934863,0.00057132874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020425061,0.00003235518,0.0009145859,0.00009271865,0.000010742967,0.000049078175,0.000028336872,0.97215873,0.011346982,0.0012936778,0.000550059,0.013502254],"study_design_scores_gemma":[0.000008329032,0.0000247699,0.00021474755,0.000008063904,0.0000068257696,0.000012503514,0.000017238188,0.9960486,0.0020918548,0.00036722372,0.0011941615,0.000005612979],"about_ca_topic_score_codex":0.0032432217,"about_ca_topic_score_gemma":0.005186826,"teacher_disagreement_score":0.0032432217,"about_ca_system_score_codex":0.0005266008,"about_ca_system_score_gemma":0.0012435248,"threshold_uncertainty_score":0.008325517},"labels":[],"label_agreement":null},{"id":"W4406760505","doi":"10.3390/en18030519","title":"Hydrocarbon Generation Potential and Molecular Composition of Eocene Guchengzi Formation Coals and Carbonaceous Mudstones from the Fushun Basin, NE China","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Hydrocarbon; Geology; China; Structural basin; Composition (language); Geochemistry; Paleontology; Chemistry; Organic chemistry; Geography; Archaeology","score_opus":0.004632022973544281,"score_gpt":0.19394476904677016,"score_spread":0.18931274607322587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406760505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972004,0.000036500027,0.000040293453,0.0000034167938,3.5623438e-7,0.0000015212421,0.00006976461,8.206141e-7,0.00012733167],"genre_scores_gemma":[0.99948585,0.000040813677,0.00008904449,0.0000038767907,9.844227e-7,0.0000022516947,0.00015737409,8.900594e-7,0.0002190514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992836,0.0000039283927,0.000006431437,0.000017760645,0.000025497206,0.000017996346],"domain_scores_gemma":[0.99993134,0.000009067757,0.00001529238,0.000002778397,0.000024642022,0.00001689461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011223838,0.00020918067,0.00016681924,0.0019374267,0.00047201317,0.00024104703,0.00013447001,0.00018370555,0.00040402482],"category_scores_gemma":[0.0001608492,0.00012364781,0.00016224726,0.0009308175,0.00024862398,0.00021803573,0.0002956418,0.00009639492,0.000058946855],"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":[0.00021217292,0.000045095967,0.7587999,0.000100152014,0.000072374314,0.0008051521,0.0013814778,0.0005389717,0.22382505,0.0001544529,0.00006005841,0.01400513],"study_design_scores_gemma":[0.0000023337618,0.000021807566,0.9944384,0.00000277898,0.000012245344,0.00013441539,0.0003199035,0.00038577244,0.0044054594,0.00002162975,0.00025078835,0.0000044547355],"about_ca_topic_score_codex":0.026264928,"about_ca_topic_score_gemma":0.051297534,"teacher_disagreement_score":0.026264928,"about_ca_system_score_codex":0.00038887456,"about_ca_system_score_gemma":0.00027404755,"threshold_uncertainty_score":0.0522241},"labels":[],"label_agreement":null},{"id":"W4406907868","doi":"10.3390/en18030604","title":"Regulations and Policies on the Management of the End of the Life of Lithium-Ion Batteries in Electrical Vehicles","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"New Jersey Department of Environmental Protection","keywords":"Lithium (medication); Ion; Engineering; Electrical engineering; Chemistry; Medicine; Internal medicine","score_opus":0.01118127274840503,"score_gpt":0.24858435207998425,"score_spread":0.23740307933157923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406907868","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06903589,0.01786419,0.03861544,0.034864455,0.0027071417,0.0004273569,0.0012362726,0.00086094387,0.8343883],"genre_scores_gemma":[0.68431026,0.030994304,0.061731804,0.03497477,0.0008900021,0.000927714,0.002110836,0.00037412663,0.18368614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922971,0.0010603443,0.00067917653,0.0007281832,0.004362159,0.00087299943],"domain_scores_gemma":[0.9939464,0.0019035653,0.00080401264,0.0006281361,0.0025392238,0.00017870568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004822441,0.00035142252,0.0002545308,0.0012249267,0.0031264338,0.0058535617,0.0019573933,0.002834951,0.0027449476],"category_scores_gemma":[0.008819513,0.00036450196,0.000541758,0.0014191915,0.0029147826,0.0035655082,0.0018062968,0.0028268008,0.0010079714],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041081177,0.0001647487,0.004854586,0.00041759343,0.000021087046,0.00030678825,0.0047166846,0.00352662,0.004052638,0.8195229,0.05526035,0.10711496],"study_design_scores_gemma":[0.000013013092,0.00008867412,0.01045996,0.0011213641,0.000053673815,0.0002096015,0.0025580218,0.00090183434,0.0050014234,0.028872037,0.9505955,0.00012488024],"about_ca_topic_score_codex":0.06326836,"about_ca_topic_score_gemma":0.08941295,"teacher_disagreement_score":0.06326836,"about_ca_system_score_codex":0.00629251,"about_ca_system_score_gemma":0.014582435,"threshold_uncertainty_score":0.12580019},"labels":[],"label_agreement":null},{"id":"W4407041270","doi":"10.3390/en18030657","title":"Boosting Reservoir Prediction Accuracy: A Hybrid Methodology Combining Traditional Reservoir Simulation and Modern Machine Learning Approaches","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Boosting (machine learning); Reservoir simulation; Reservoir modeling; Reservoir computing; Computer science; Machine learning; Artificial intelligence; Petroleum engineering; Engineering; Artificial neural network","score_opus":0.14052117731072716,"score_gpt":0.31070752646110417,"score_spread":0.170186349150377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407041270","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":[0.022775907,0.00025134988,0.9745935,0.00018690868,0.00003282366,0.000038455055,0.00003141368,0.00074098515,0.0013487414],"genre_scores_gemma":[0.73444897,0.00030458317,0.26327348,0.00014947874,0.000120326804,0.0001308338,0.00010868972,0.00010888197,0.0013547775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994868,0.00015896106,0.000029902583,0.00008886312,0.00019230145,0.000043084117],"domain_scores_gemma":[0.998541,0.0008331484,0.00014691422,0.00017209952,0.00025574883,0.000051022267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001819446,0.00080255145,0.0010765591,0.0010840994,0.00029075402,0.00071360526,0.0012725651,0.00090940465,0.0011306136],"category_scores_gemma":[0.0034287046,0.00047293305,0.0006402239,0.0007808536,0.00053979445,0.0015699159,0.0013491708,0.0009638247,0.000292069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041208652,0.00006015967,0.0013040293,0.00004516167,0.000055828354,0.000038055332,0.000029649793,0.910906,0.0026038869,0.00301608,0.00030970827,0.08159028],"study_design_scores_gemma":[0.0000013545451,0.00000941937,0.00005926109,0.0000015454145,0.000002503131,0.0000028344994,0.0000010865928,0.99892503,0.00032337953,0.00058637885,0.00008550501,0.00000163867],"about_ca_topic_score_codex":0.002622991,"about_ca_topic_score_gemma":0.0027428612,"teacher_disagreement_score":0.002622991,"about_ca_system_score_codex":0.0004854239,"about_ca_system_score_gemma":0.00094854494,"threshold_uncertainty_score":0.009622276},"labels":[],"label_agreement":null},{"id":"W4407223642","doi":"10.3390/en18030747","title":"Data Augmentation-Based Photovoltaic Power Prediction","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Photovoltaic system; Computer science; Power (physics); Electrical engineering; Engineering; Physics","score_opus":0.021455713977562896,"score_gpt":0.2792155514608197,"score_spread":0.2577598374832568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407223642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08029439,0.0004439467,0.9118179,0.00020795122,0.0001988435,0.000068281435,0.00027789158,0.0044114855,0.0022791661],"genre_scores_gemma":[0.8187437,0.0002655516,0.17755142,0.00012754276,0.000090836045,0.00010265212,0.0007274466,0.00010207129,0.0022888072],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963605,0.00005014075,0.000022089245,0.00013906206,0.00011505837,0.000037583497],"domain_scores_gemma":[0.99940026,0.000201585,0.000052162333,0.00010968728,0.00021831923,0.000017993292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005368763,0.00082371105,0.00079022924,0.00040113804,0.00028093214,0.00039666443,0.0007297825,0.0005017486,0.000987378],"category_scores_gemma":[0.0014271396,0.00030385598,0.0005832938,0.0006175522,0.0002936535,0.0007883053,0.00055503537,0.00095244806,0.00040283625],"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":[0.00031580738,0.0002106,0.004747409,0.00012164684,0.00007948995,0.00020767555,0.0001448196,0.4154681,0.02674278,0.0013244568,0.003517124,0.54712015],"study_design_scores_gemma":[0.0000035267394,0.000019422021,0.000573405,0.0000030014057,0.000005291921,0.000018458748,0.000005939016,0.99377006,0.004762911,0.0003284917,0.0005038626,0.00000551642],"about_ca_topic_score_codex":0.0035451876,"about_ca_topic_score_gemma":0.0027763627,"teacher_disagreement_score":0.0035451876,"about_ca_system_score_codex":0.0002608633,"about_ca_system_score_gemma":0.0004885,"threshold_uncertainty_score":0.0070491433},"labels":[],"label_agreement":null},{"id":"W4407392807","doi":"10.3390/en18040794","title":"Integrated Micro- and Nano-Grid with Focus on Net-Zero Renewable Energy—A Survey Paper","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Renewable energy; Nano-; Zero (linguistics); Focus (optics); Zero-energy building; Grid; Electrical engineering; Engineering; Physics; Mathematics; Chemical engineering; Optics","score_opus":0.0034867383896707302,"score_gpt":0.16438537688032442,"score_spread":0.1608986384906537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407392807","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":[0.0033775463,0.9533625,0.014288167,0.0016980818,0.0014935577,0.000037736772,0.00011039723,0.00012013726,0.025511883],"genre_scores_gemma":[0.025024466,0.95704496,0.0067355204,0.00088920695,0.0013442454,0.00004715695,0.00021907245,0.000043154585,0.008652275],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997409,0.000040672647,0.000023684224,0.000061169834,0.000105579566,0.000027971904],"domain_scores_gemma":[0.99950385,0.00022316248,0.000042133135,0.000030553456,0.00016874903,0.000031550273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044806226,0.0005410987,0.0006951745,0.0015434935,0.00030727955,0.0017263696,0.0004606092,0.0008405561,0.003804321],"category_scores_gemma":[0.00077044516,0.00030300432,0.00035927328,0.0032224613,0.00032542963,0.0025406012,0.00058179937,0.00084294594,0.0013660163],"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":[0.00007736094,0.00008453134,0.001517482,0.014727008,0.00009033825,0.00051961147,0.00048287856,0.0030800703,0.0044352333,0.096534975,0.043760847,0.8346897],"study_design_scores_gemma":[0.0000051623642,0.00011458216,0.0009808423,0.002451003,0.00007766307,0.0010358766,0.00044537478,0.0023992853,0.0020901149,0.015446959,0.974921,0.000032164502],"about_ca_topic_score_codex":0.00072252715,"about_ca_topic_score_gemma":0.0007677375,"teacher_disagreement_score":0.003804321,"about_ca_system_score_codex":0.00041127572,"about_ca_system_score_gemma":0.0011048659,"threshold_uncertainty_score":0.012726724},"labels":[],"label_agreement":null},{"id":"W4407392895","doi":"10.3390/en18040818","title":"Performance Evaluation of a Combined Heat and Power Generation System with Borehole Thermal Energy Storage: A Feasibility Study of a Combined Heat Pump and Organic Rankine Cycle System","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Organic Rankine cycle; Heat pump; Thermal energy storage; Rankine cycle; Degree Rankine; Environmental science; Electricity generation; Nuclear engineering; Borehole; Energy storage; Process engineering; Thermal energy; Waste management; Power (physics); Engineering; Mechanical engineering; Thermodynamics; Heat exchanger; Physics; Geotechnical engineering","score_opus":0.00777012259028903,"score_gpt":0.21262496769963865,"score_spread":0.20485484510934962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407392895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934644,0.0003902978,0.0043758936,0.00005337532,0.000026739746,0.00009162106,0.00011205849,0.00011721017,0.0013683061],"genre_scores_gemma":[0.997267,0.00013159077,0.0019827932,0.000009543974,0.000005414127,0.000026213298,0.000043433654,0.000007760557,0.0005261864],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961877,0.000067229914,0.000025235178,0.000076430275,0.00015400416,0.000058380345],"domain_scores_gemma":[0.9998356,0.000036419577,0.00002121533,0.000015508978,0.00006355577,0.000027734312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050007674,0.0005152615,0.0007384634,0.0004742463,0.00044878165,0.0007313539,0.00071978744,0.00052895135,0.001858295],"category_scores_gemma":[0.00038634008,0.00021874286,0.00045755078,0.0003647561,0.0003193503,0.0010130975,0.00047791147,0.00033499033,0.00034877664],"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":[0.0032917885,0.0009374616,0.009074201,0.0016282945,0.0001607006,0.0008878705,0.00024822095,0.04072915,0.876908,0.00073897885,0.0007382287,0.06465717],"study_design_scores_gemma":[0.0003489062,0.012562833,0.016179811,0.00004953316,0.00026276484,0.0005607083,0.00050529215,0.16341498,0.8008743,0.00028482775,0.0048439032,0.000112125505],"about_ca_topic_score_codex":0.0021384007,"about_ca_topic_score_gemma":0.002476499,"teacher_disagreement_score":0.0021384007,"about_ca_system_score_codex":0.000488755,"about_ca_system_score_gemma":0.0005766164,"threshold_uncertainty_score":0.0062165856},"labels":[],"label_agreement":null},{"id":"W4407393605","doi":"10.3390/en18040856","title":"Energy Release in Deuterium–Constantan Interactions","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Cold Fusion and Nuclear Reactions","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Deuterium; Environmental science; Chemistry; Nuclear physics; Physics","score_opus":0.006732766395744546,"score_gpt":0.21857685795323398,"score_spread":0.21184409155748943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407393605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904084,0.00089102576,0.0053126714,0.000047471614,0.000026476187,0.000027086326,0.000114055205,0.000046879057,0.0031258566],"genre_scores_gemma":[0.9961475,0.00027881828,0.0009999446,0.000026614984,0.0000054915795,0.000020965585,0.000110753936,0.000024051424,0.0023858692],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996996,0.000027788672,0.000010965731,0.00009442424,0.00011133165,0.000055907178],"domain_scores_gemma":[0.99975294,0.0001113549,0.000053345015,0.00003420543,0.000029978912,0.000018095856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447944,0.00037043056,0.00026559772,0.00014969216,0.00033681982,0.00032045008,0.00038523565,0.00029655814,0.0023236952],"category_scores_gemma":[0.00047401246,0.0002500215,0.0002022241,0.00019447407,0.00047168892,0.0006407245,0.00047734604,0.0005775424,0.00036959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025108,0.000026015245,0.0006032828,0.00011149473,0.000014589667,0.00031142932,0.00015894863,0.00060991384,0.9934581,0.00047469116,0.000101382524,0.0038792114],"study_design_scores_gemma":[0.000011242644,0.00018780553,0.0035546154,0.0000056662616,0.000008049765,0.00020277727,0.00006060271,0.0018657305,0.9924672,0.0001391142,0.0014851065,0.0000121480725],"about_ca_topic_score_codex":0.0005252468,"about_ca_topic_score_gemma":0.00057452463,"teacher_disagreement_score":0.0023236952,"about_ca_system_score_codex":0.00034562568,"about_ca_system_score_gemma":0.00012784217,"threshold_uncertainty_score":0.0077735186},"labels":[],"label_agreement":null},{"id":"W4407406085","doi":"10.3390/en18040789","title":"Development of a Comprehensive Model for Drying Optimization and Moisture Management in Power Transformer Manufacturing","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Moisture; Environmental science; Process engineering; Engineering; Electrical engineering; Materials science; Composite material; Voltage","score_opus":0.009988107709446779,"score_gpt":0.22365841915233453,"score_spread":0.21367031144288776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407406085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029825939,0.0005090415,0.9562273,0.00027941252,0.00004676252,0.0001446575,0.00036000853,0.0006940468,0.011912941],"genre_scores_gemma":[0.8281741,0.0011043721,0.15479258,0.0001596102,0.00005903708,0.0008554705,0.0006082582,0.00028584196,0.01396075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973625,0.00006745838,0.000013521933,0.000050190363,0.00008647185,0.000046097826],"domain_scores_gemma":[0.99934524,0.00041676406,0.00005690481,0.00002495179,0.00013448618,0.000021547441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095324515,0.0009984557,0.0011917425,0.00056253164,0.00058528717,0.0011409227,0.0013124526,0.0016489767,0.0031542897],"category_scores_gemma":[0.001842497,0.0006274221,0.0011043131,0.0005957979,0.00040951438,0.00081264845,0.00078932947,0.0012751762,0.000561532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067769224,0.000014254143,0.00017582014,0.000017735458,0.0000056785375,0.000021658972,0.000008459173,0.99498737,0.00036954915,0.0011848088,0.00014525131,0.0030626287],"study_design_scores_gemma":[0.0000016869069,0.0000048444836,0.000041241146,0.0000023802543,0.0000025893657,0.0000030992308,0.0000021582907,0.9992699,0.00012264156,0.00031973154,0.0002277002,0.0000019685183],"about_ca_topic_score_codex":0.022732757,"about_ca_topic_score_gemma":0.012261443,"teacher_disagreement_score":0.022732757,"about_ca_system_score_codex":0.0011161545,"about_ca_system_score_gemma":0.0020992165,"threshold_uncertainty_score":0.045200884},"labels":[],"label_agreement":null},{"id":"W4407423746","doi":"10.3390/en18040871","title":"Formation Damage in SAGD: A Review of Experimental Modelling Techniques","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petroleum engineering; Biochemical engineering; Environmental science; Computer science; Process engineering; Engineering","score_opus":0.022176166349401304,"score_gpt":0.3114094805911762,"score_spread":0.2892333142417749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407423746","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":[0.02803252,0.6294378,0.30445015,0.0013765114,0.0007502972,0.0005229718,0.0027807476,0.001442621,0.031206295],"genre_scores_gemma":[0.11294177,0.7873337,0.08967222,0.00024611718,0.000269848,0.00059050246,0.0017349451,0.0003490348,0.0068618483],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986253,0.00015535009,0.00020517246,0.0002095448,0.000723989,0.000080676924],"domain_scores_gemma":[0.9984805,0.0006533479,0.00023533548,0.00015137978,0.00044079768,0.00003865745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023413973,0.0018787741,0.0021860225,0.0061595826,0.00080123526,0.0028942423,0.003710583,0.0023267118,0.003490078],"category_scores_gemma":[0.0025421942,0.0015578171,0.002427258,0.006057677,0.001705599,0.0026621898,0.0014304986,0.0015186542,0.0016183509],"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":[0.00023419215,0.0005221222,0.006863265,0.02941029,0.00029768018,0.0007445418,0.0007345793,0.21791749,0.01956471,0.029272275,0.007411238,0.68702763],"study_design_scores_gemma":[0.0000748903,0.0010398233,0.01828791,0.0141159445,0.000807236,0.0019664806,0.0014457231,0.23135202,0.04980273,0.031922344,0.6484605,0.0007243818],"about_ca_topic_score_codex":0.018224498,"about_ca_topic_score_gemma":0.015646145,"teacher_disagreement_score":0.018224498,"about_ca_system_score_codex":0.002615981,"about_ca_system_score_gemma":0.0024467385,"threshold_uncertainty_score":0.036236882},"labels":[],"label_agreement":null},{"id":"W4407533143","doi":"10.3390/en18040890","title":"Using Investments in Solar Photovoltaics as Inflation Hedges","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaics; Inflation (cosmology); Environmental science; Renewable energy; Economics; Photovoltaic system; Natural resource economics; Physics; Engineering; Electrical engineering; Astronomy","score_opus":0.0165889492432005,"score_gpt":0.2695692166630212,"score_spread":0.2529802674198207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407533143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741445,0.00033630565,0.011809865,0.0002884495,0.00002891249,0.000037732738,0.00033656106,0.0001391647,0.0128784515],"genre_scores_gemma":[0.9967339,0.00010099892,0.0025265422,0.000019520821,0.0000035437135,0.000009775329,0.00007060051,0.0000103265975,0.00052488624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998559,0.00006444702,0.0000057288808,0.000023131115,0.000028808367,0.000021930675],"domain_scores_gemma":[0.9995586,0.0002557635,0.00007964935,0.00003083533,0.00005156191,0.00002358968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050903833,0.0003841366,0.0003999641,0.00033224552,0.00018053236,0.0011010997,0.00045131127,0.00047456985,0.001117419],"category_scores_gemma":[0.0015561611,0.00022068652,0.00039385576,0.00040242655,0.00020390954,0.00070532627,0.00028864222,0.00040787377,0.00009475148],"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":[0.00009480008,0.00004572073,0.011397518,0.00003804121,0.00007114493,0.00007360268,0.000026536893,0.97759306,0.0012545409,0.0016714637,0.00025859114,0.0074749417],"study_design_scores_gemma":[0.00003274028,0.00020702365,0.006271703,0.00001950702,0.00006437633,0.000028452168,0.00007457786,0.9886457,0.0017638736,0.0017556067,0.0011208416,0.000015654345],"about_ca_topic_score_codex":0.0074876677,"about_ca_topic_score_gemma":0.009321991,"teacher_disagreement_score":0.0074876677,"about_ca_system_score_codex":0.0005957019,"about_ca_system_score_gemma":0.00046061468,"threshold_uncertainty_score":0.014888167},"labels":[],"label_agreement":null},{"id":"W4407793074","doi":"10.3390/en18051022","title":"Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Waterloo","funders":"","keywords":"Electrocatalyst; Proton exchange membrane fuel cell; Computer science; Chemistry; Fuel cells; Chemical engineering; Electrode; Engineering; Electrochemistry","score_opus":0.00688791049506571,"score_gpt":0.2255587298807162,"score_spread":0.2186708193856505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407793074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058323152,0.0008230381,0.9216057,0.00088570075,0.00012712493,0.00018562976,0.0004925893,0.0008432737,0.016713843],"genre_scores_gemma":[0.5691226,0.0008301554,0.4218051,0.000427864,0.00009539092,0.0009932164,0.00091370754,0.00039408077,0.00541789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998252,0.00005325737,0.000008201429,0.000016546737,0.000066835964,0.000029951643],"domain_scores_gemma":[0.99960655,0.00018460296,0.000021893886,0.000030342115,0.000107177286,0.000049504823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006479177,0.0007490284,0.0009593625,0.00055304053,0.0006502365,0.0008398304,0.0018067815,0.0013631741,0.0028694745],"category_scores_gemma":[0.0014359957,0.00046481105,0.0008246369,0.0004869245,0.0006300242,0.00069531926,0.0010192367,0.0014970967,0.0004898008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015448933,0.0000427951,0.0003536325,0.00005352322,0.000020209654,0.000065656364,0.000019947858,0.9729998,0.00096001354,0.019502984,0.00040219768,0.0055637807],"study_design_scores_gemma":[0.0000023022556,0.0000025712532,0.00001226715,0.0000022528586,9.615543e-7,0.0000016874338,0.0000021304265,0.998195,0.000089562716,0.0015314633,0.00015871547,0.0000010331842],"about_ca_topic_score_codex":0.013471748,"about_ca_topic_score_gemma":0.014545096,"teacher_disagreement_score":0.013471748,"about_ca_system_score_codex":0.0013944601,"about_ca_system_score_gemma":0.0021184143,"threshold_uncertainty_score":0.026786685},"labels":[],"label_agreement":null},{"id":"W4407841067","doi":"10.3390/en18051061","title":"Enhanced Dynamic Control for Flux-Switching Permanent Magnet Machines Using Integrated Model Predictive Current Control and Sliding Mode Control","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Model predictive control; Current (fluid); Magnet; Control theory (sociology); Control (management); Flux (metallurgy); Mode (computer interface); Automotive engineering; Computer science; Control engineering; Materials science; Engineering; Electrical engineering","score_opus":0.005500167045022504,"score_gpt":0.23941595822560627,"score_spread":0.23391579118058375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407841067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045520425,0.0004989462,0.94741493,0.000104755,0.00008897201,0.000045640463,0.000019365552,0.0007558439,0.005551094],"genre_scores_gemma":[0.9693769,0.0001387525,0.02906613,0.000023982591,0.00002041636,0.00004043577,0.000029190081,0.000015263757,0.0012889431],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998374,0.000023096234,0.000008019391,0.000023776904,0.00009310082,0.00001464453],"domain_scores_gemma":[0.99980253,0.00006356367,0.000037191312,0.000020876983,0.00006769983,0.000008126253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037085725,0.0004397788,0.00031128345,0.00030906414,0.00019264732,0.00048055025,0.00048275033,0.00031957173,0.00093979656],"category_scores_gemma":[0.00052658725,0.00015714995,0.0002392672,0.00020807683,0.00029983322,0.00039907516,0.0002738091,0.00043716477,0.00016658651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035171522,0.00022016579,0.000870736,0.00036745443,0.00006433537,0.00016226222,0.00015131729,0.6380398,0.07494552,0.012585652,0.001880171,0.27036086],"study_design_scores_gemma":[0.000017190534,0.00015650823,0.000329363,0.000007825591,0.000009006074,0.000022568169,0.0000069776374,0.99027693,0.0069085136,0.0007812739,0.0014776019,0.0000061945084],"about_ca_topic_score_codex":0.0011928083,"about_ca_topic_score_gemma":0.0013696216,"teacher_disagreement_score":0.0011928083,"about_ca_system_score_codex":0.00022551567,"about_ca_system_score_gemma":0.00033368636,"threshold_uncertainty_score":0.0031439066},"labels":[],"label_agreement":null},{"id":"W4407910215","doi":"10.3390/en18051130","title":"Robust Optimal Sizing of a Stand-Alone Hybrid Renewable Energy System Using Machine Learning-Based Uncertainty Sets","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Sizing; Renewable energy; Computer science; Energy (signal processing); Artificial intelligence; Mathematical optimization; Machine learning; Engineering; Mathematics; Chemistry; Electrical engineering","score_opus":0.010464994850599981,"score_gpt":0.19958328621641305,"score_spread":0.18911829136581307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407910215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05226271,0.0003068906,0.9421223,0.00010143155,0.000029511142,0.000074546755,0.00010421521,0.00028967255,0.0047086994],"genre_scores_gemma":[0.9552043,0.00010739935,0.043517157,0.000033171982,0.00001588546,0.00008883617,0.00010237568,0.000031863903,0.0008990238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993812,0.00016977928,0.000035467558,0.00014008481,0.0002140849,0.000059373193],"domain_scores_gemma":[0.9993119,0.00038455665,0.00014204152,0.00003453002,0.000109260305,0.000017754352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009903224,0.0011335345,0.0010469556,0.0006183258,0.00028537426,0.0011470715,0.00069071754,0.00058505795,0.0007483691],"category_scores_gemma":[0.0020072707,0.0006998019,0.00072585844,0.0005252758,0.00053781003,0.0009921975,0.0006790167,0.0006636205,0.00013970707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001514417,0.000005188605,0.000085694366,0.000012431549,0.000014317593,0.000010355605,0.000006581004,0.9933606,0.0003992911,0.00067050545,0.000048595324,0.005371418],"study_design_scores_gemma":[0.0000019276636,0.000013259552,0.00005448639,0.0000021511676,0.0000034805987,0.0000023165958,0.0000025616912,0.99911326,0.000179684,0.00056682556,0.000058105103,0.0000019096112],"about_ca_topic_score_codex":0.008421423,"about_ca_topic_score_gemma":0.008739946,"teacher_disagreement_score":0.008421423,"about_ca_system_score_codex":0.0010095278,"about_ca_system_score_gemma":0.0010657102,"threshold_uncertainty_score":0.016744792},"labels":[],"label_agreement":null},{"id":"W4408089273","doi":"10.3390/en18051209","title":"A Comprehensive Review of Transformer Winding Diagnostics: Integrating Frequency Response Analysis with Machine Learning Approaches","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Computer science; Frequency response; Engineering; Electronic engineering; Machine learning; Electrical engineering; Voltage","score_opus":0.029282921925235118,"score_gpt":0.2650891575302612,"score_spread":0.23580623560502606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408089273","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":[0.00011217502,0.9985374,0.0003636199,0.00016642216,0.00013885756,0.0000057202515,0.000034789362,0.00001091305,0.00063007657],"genre_scores_gemma":[0.0008276385,0.99804676,0.00048049403,0.00013104644,0.00012850674,0.0000065869185,0.000054407836,0.0000027836243,0.00032184512],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964106,0.000064042084,0.00007130933,0.00007093844,0.00013242131,0.000020344467],"domain_scores_gemma":[0.9985299,0.00090865936,0.00016491162,0.00003744915,0.00030958254,0.000049461316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008949106,0.0010940055,0.0015751468,0.0039031766,0.00022687069,0.0010213392,0.0009962327,0.0011316302,0.004186963],"category_scores_gemma":[0.0021369888,0.00043763532,0.00095535,0.003625721,0.0003737705,0.0015820083,0.0005644377,0.0009951958,0.0020791404],"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":[0.0000479491,0.000061313214,0.00022950274,0.055681176,0.00017357725,0.00014101171,0.00005834133,0.00068334176,0.001601693,0.0024345813,0.019644175,0.9192433],"study_design_scores_gemma":[0.000014905754,0.00018559331,0.0017537822,0.01995852,0.00053887075,0.0012359349,0.0000956182,0.00037063254,0.0011593318,0.0024691874,0.972161,0.00005664904],"about_ca_topic_score_codex":0.0014235589,"about_ca_topic_score_gemma":0.0023735068,"teacher_disagreement_score":0.004186963,"about_ca_system_score_codex":0.00048701427,"about_ca_system_score_gemma":0.0014052084,"threshold_uncertainty_score":0.0140067935},"labels":[],"label_agreement":null},{"id":"W4408163200","doi":"10.3390/en18051277","title":"Parametric Study of a Fully Passive Oscillating Foil on a Swinging Arm","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parametric statistics; FOIL method; Control theory (sociology); Physics; Computer science; Mathematics; Materials science; Statistics; Artificial intelligence","score_opus":0.0051411223816138964,"score_gpt":0.22160614811891688,"score_spread":0.21646502573730297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408163200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261624,0.00005055042,0.00489134,0.000025701274,0.000010921854,0.000015651698,0.000041583193,0.000039267576,0.0023087128],"genre_scores_gemma":[0.99894506,0.00001890601,0.0006430057,0.0000024954015,0.0000011071925,0.0000052263754,0.000014174605,0.0000025687425,0.00036745114],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998728,0.000019480447,0.000007112558,0.000025225829,0.000046022196,0.000029313363],"domain_scores_gemma":[0.99973863,0.00009436671,0.000054886885,0.000043978194,0.00003682356,0.000031260603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026152746,0.0002980292,0.00039678716,0.00023595734,0.00021331832,0.00041828834,0.000433703,0.0004899447,0.0012222548],"category_scores_gemma":[0.000556694,0.00017735254,0.00029140312,0.00016151807,0.00054238446,0.00038513102,0.00037175012,0.00018142865,0.00017710566],"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":[0.0019016173,0.00026129527,0.010046032,0.0004965057,0.000088625195,0.0030072336,0.0006051577,0.30938485,0.64620936,0.003717204,0.00053142675,0.023750735],"study_design_scores_gemma":[0.00018737251,0.0049408097,0.014195477,0.00006694219,0.000091907896,0.00085423683,0.0004273307,0.87512165,0.1001616,0.0008228712,0.0030554312,0.00007438954],"about_ca_topic_score_codex":0.00052569853,"about_ca_topic_score_gemma":0.00031808746,"teacher_disagreement_score":0.0012222548,"about_ca_system_score_codex":0.00012771557,"about_ca_system_score_gemma":0.00019642897,"threshold_uncertainty_score":0.004088819},"labels":[],"label_agreement":null},{"id":"W4408201223","doi":"10.3390/en18051295","title":"Design of a Simplified Experimental Test Case to Study Rotor–Stator Interactions in Hydraulic Machinery","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Transient (computer programming); Stator; Rotor (electric); Turbine; Engineering; Mechanics; Rotation (mathematics); Flow (mathematics); Wind power; Mechanical engineering; Control theory (sociology); Computer science; Physics; Electrical engineering","score_opus":0.01919985281860799,"score_gpt":0.29710829864206156,"score_spread":0.2779084458234536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408201223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67705446,0.00045545254,0.29737067,0.00045940786,0.00042585479,0.0024460382,0.0022539045,0.001870057,0.01766414],"genre_scores_gemma":[0.95064324,0.00016521142,0.04373707,0.000071053764,0.000019806821,0.0018198882,0.00068311766,0.000058317946,0.0028023107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990821,0.00027715432,0.00005643171,0.0001843814,0.0002478252,0.00015208761],"domain_scores_gemma":[0.9988261,0.00036851855,0.00013521331,0.00020963671,0.0003183924,0.00014213356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011610516,0.0010340702,0.00077604706,0.00068981596,0.0006262285,0.0008912749,0.0017061196,0.0016147455,0.0066860234],"category_scores_gemma":[0.0017225663,0.000348831,0.00069040695,0.00036512763,0.0008598955,0.00077731005,0.0007827396,0.0006274811,0.0017110117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042601535,0.0032560956,0.019051142,0.0036549335,0.00021588274,0.0049732556,0.00061486545,0.4038006,0.43633714,0.013793562,0.0052675433,0.10477482],"study_design_scores_gemma":[0.0011347447,0.014104141,0.029630065,0.00029395183,0.00035176126,0.00091362133,0.0012036988,0.6029393,0.31567317,0.005397048,0.02812564,0.00023285193],"about_ca_topic_score_codex":0.0013614764,"about_ca_topic_score_gemma":0.0013634481,"teacher_disagreement_score":0.0066860234,"about_ca_system_score_codex":0.00062030496,"about_ca_system_score_gemma":0.00070798263,"threshold_uncertainty_score":0.022367},"labels":[],"label_agreement":null},{"id":"W4408241260","doi":"10.3390/en18061312","title":"A Comparative Analysis of Artificial Intelligence Techniques for Single Open-Circuit Fault Detection in a Packed E-Cell Inverter","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Université Libanaise","keywords":"Inverter; Fault detection and isolation; Fault (geology); Computer science; Engineering; Automotive engineering; Electronic engineering; Electrical engineering; Artificial intelligence; Voltage; Biology","score_opus":0.05193853451938995,"score_gpt":0.29956543669115215,"score_spread":0.2476269021717622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408241260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.613396,0.0094739245,0.36346492,0.00043426998,0.0001634043,0.00014044534,0.00020373167,0.0010092864,0.011713902],"genre_scores_gemma":[0.94374335,0.0017285746,0.053225208,0.000043610136,0.000026305057,0.000038735943,0.00014614986,0.000018862589,0.0010293308],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992083,0.00018956575,0.00007110044,0.000088113135,0.00038740158,0.00005566068],"domain_scores_gemma":[0.9976439,0.001496447,0.00016742956,0.000091507376,0.00056680624,0.000033905682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012771277,0.00057876325,0.00046834012,0.0019757329,0.00017873324,0.00067894324,0.0003882798,0.00052348647,0.00055588747],"category_scores_gemma":[0.0039666803,0.00010728182,0.0004972149,0.0010688214,0.00019165211,0.0007512061,0.00024103827,0.00027306093,0.0001303572],"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":[0.0006603015,0.00026965435,0.011873628,0.0006776537,0.0002518268,0.00034124893,0.00017258157,0.21480903,0.023850976,0.0026445554,0.0010876636,0.7433609],"study_design_scores_gemma":[0.000012144823,0.0008953579,0.010656845,0.00005868035,0.00011544146,0.00019041775,0.000108004024,0.9659858,0.019330569,0.0009744438,0.0016437956,0.000028473118],"about_ca_topic_score_codex":0.0016884917,"about_ca_topic_score_gemma":0.0014844877,"teacher_disagreement_score":0.0019757329,"about_ca_system_score_codex":0.00049723836,"about_ca_system_score_gemma":0.00027087427,"threshold_uncertainty_score":0.0067542195},"labels":[],"label_agreement":null},{"id":"W4408386760","doi":"10.3390/en18061397","title":"A Review of Operational Conditions of the Agroforestry Residues Biomethanization for Bioenergy Production Through Solid-State Anaerobic Digestion (SS-AD)","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Cégep de Rivière-du-Loup; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Bioenergy; Anaerobic digestion; Production (economics); Environmental science; Agroforestry; Pulp and paper industry; Biofuel; Waste management; Engineering; Ecology; Biology; Economics; Methane; Microeconomics","score_opus":0.024719560951954527,"score_gpt":0.3134680033716076,"score_spread":0.28874844241965303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408386760","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":[0.0011530733,0.9949025,0.00075720774,0.00010653282,0.00013824237,0.000019778965,0.00010170708,0.000018287703,0.0028027017],"genre_scores_gemma":[0.003860264,0.9937593,0.00088901084,0.00008804116,0.000054391534,0.00002222593,0.00011938126,0.0000052985797,0.001202088],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997305,0.000036654626,0.000050726427,0.000052418025,0.00010319955,0.000026455527],"domain_scores_gemma":[0.9997912,0.00008128646,0.00005057189,0.000009473015,0.000055279877,0.000012217757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048484677,0.0012046472,0.0012507662,0.0020626544,0.00031449253,0.0008376122,0.000659274,0.0007376429,0.0028760582],"category_scores_gemma":[0.00044381735,0.0004415885,0.00080621074,0.0024594248,0.000292608,0.0011387976,0.00043240906,0.00074651686,0.0016699639],"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":[0.00012670197,0.00017715491,0.0003017494,0.11327907,0.00025462086,0.00036066986,0.00013676813,0.0017168815,0.032192558,0.005798245,0.015227418,0.8304281],"study_design_scores_gemma":[0.000014566094,0.00033249706,0.0014945504,0.006389937,0.00037761708,0.0009540334,0.00008490994,0.0003662438,0.013146745,0.001141475,0.97564906,0.000048448834],"about_ca_topic_score_codex":0.0010477114,"about_ca_topic_score_gemma":0.00189499,"teacher_disagreement_score":0.0028760582,"about_ca_system_score_codex":0.00042526366,"about_ca_system_score_gemma":0.0010547182,"threshold_uncertainty_score":0.009621441},"labels":[],"label_agreement":null},{"id":"W4408444304","doi":"10.3390/en18061443","title":"Advancing Hybrid Cryogenic Natural Gas Systems: A Comprehensive Review of Processes and Performance Optimization","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Natural gas; Process engineering; Computer science; Biochemical engineering; Environmental science; Systems engineering; Engineering; Waste management","score_opus":0.009070640248396796,"score_gpt":0.24262288279860816,"score_spread":0.23355224255021137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408444304","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":[0.0012764357,0.99516547,0.001647146,0.00015166095,0.00006666515,0.000018782815,0.000057489615,0.000015329546,0.001600971],"genre_scores_gemma":[0.0059808893,0.9915869,0.0016008039,0.000082230756,0.00008933634,0.000027838434,0.00010149233,0.00000878712,0.00052170345],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951506,0.00006747671,0.000077361394,0.000095866984,0.00019892708,0.000045253877],"domain_scores_gemma":[0.9995654,0.00021806377,0.000078130775,0.000014695593,0.00010845874,0.000015265834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010627466,0.0014105015,0.0016818965,0.0020345207,0.00035806777,0.0014243149,0.0008243133,0.0008898676,0.0027090786],"category_scores_gemma":[0.00088431896,0.00071809,0.0014354229,0.0030667854,0.00032047942,0.0017980908,0.0007546883,0.0009965607,0.00082075567],"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":[0.00014291513,0.00023860692,0.0007748656,0.10553905,0.0004309625,0.00028358007,0.00019126419,0.017806692,0.0129127465,0.016815852,0.0144729735,0.8303905],"study_design_scores_gemma":[0.000050820527,0.0010063862,0.0026852195,0.011499249,0.0009164404,0.0007269205,0.00023778081,0.009510058,0.012483139,0.00701965,0.9537179,0.0001464841],"about_ca_topic_score_codex":0.0022329427,"about_ca_topic_score_gemma":0.0027349086,"teacher_disagreement_score":0.0027090786,"about_ca_system_score_codex":0.0007552678,"about_ca_system_score_gemma":0.0016399518,"threshold_uncertainty_score":0.009062827},"labels":[],"label_agreement":null},{"id":"W4408538007","doi":"10.3390/en18061484","title":"Thermal Comfort of Older People: Validation of the MPMV Model","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort 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":false,"ca_institutions":"National Research Council Canada","funders":"Infrastructure Canada","keywords":"Thermal comfort; Environmental science; Computer science; Architectural engineering; Engineering; Geography; Meteorology","score_opus":0.003933318033682548,"score_gpt":0.18848067345041772,"score_spread":0.18454735541673517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408538007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9292451,0.00016411857,0.06555153,0.00010333144,0.00003668779,0.00006046931,0.0010021346,0.00034629347,0.0034903877],"genre_scores_gemma":[0.9932153,0.00003966725,0.0056790463,0.000017187971,0.000003931626,0.000050740753,0.00039300125,0.00001419375,0.0005869598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998493,0.00004474374,0.000010864148,0.000044010165,0.00003124815,0.000019771438],"domain_scores_gemma":[0.99969804,0.00013144616,0.000020478174,0.000033581495,0.00010102643,0.00001540664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038720493,0.0004590387,0.00043840753,0.00023065646,0.00019393855,0.00037889552,0.00072174775,0.00068440905,0.0011083981],"category_scores_gemma":[0.0011204248,0.00014167494,0.00062893773,0.00023188618,0.0001512013,0.0003501055,0.00042978986,0.0004704639,0.00032650956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012243312,0.00009336694,0.010963861,0.000089416346,0.00002721752,0.00006604804,0.00008445272,0.9657856,0.004746539,0.00031211218,0.00044853523,0.017260438],"study_design_scores_gemma":[0.000014515042,0.00009160963,0.004033214,0.000008509833,0.000007992022,0.000019105955,0.000029305842,0.9936692,0.001594047,0.00018422541,0.0003385152,0.0000097428465],"about_ca_topic_score_codex":0.015936095,"about_ca_topic_score_gemma":0.0068335794,"teacher_disagreement_score":0.015936095,"about_ca_system_score_codex":0.00031136596,"about_ca_system_score_gemma":0.00041347533,"threshold_uncertainty_score":0.031686723},"labels":[],"label_agreement":null},{"id":"W4408688287","doi":"10.3390/en18071563","title":"Nordhaus’s Programming Model of Energy Futures Revisited","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Futures contract; Economics; Computer science; Mathematical economics; Econometrics; Financial economics","score_opus":0.012108898673512284,"score_gpt":0.2789927174120842,"score_spread":0.2668838187385719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408688287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.109114,0.00038983725,0.8063297,0.0038468954,0.00014827191,0.000061409395,0.00057223724,0.00015569528,0.07938192],"genre_scores_gemma":[0.8475343,0.0005325174,0.10958001,0.00024972853,0.00007031191,0.00018355317,0.0002037663,0.00010320172,0.041542497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999637,0.00016644977,0.00001218584,0.00006320186,0.00008406298,0.000037206435],"domain_scores_gemma":[0.9996007,0.00021700324,0.00003888106,0.000033138513,0.000066023196,0.000044270284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008255167,0.00040697286,0.00058218185,0.00035904933,0.0006588472,0.0015303362,0.0012699425,0.001452553,0.005550944],"category_scores_gemma":[0.0018913487,0.00036769573,0.00090103934,0.0007438854,0.0012995111,0.002143542,0.0008915824,0.001714516,0.00039595546],"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":[0.000014346377,0.000011288933,0.00011323485,0.000011487722,0.000006427843,0.00003905012,0.00005757111,0.69018835,0.00021277486,0.3073537,0.00043005694,0.0015616278],"study_design_scores_gemma":[0.0000108761105,0.00001550931,0.000051357794,0.000005099315,0.000003831735,0.000014671362,0.000030438385,0.9066415,0.00014547384,0.09093287,0.0021392961,0.000009160176],"about_ca_topic_score_codex":0.0127490945,"about_ca_topic_score_gemma":0.006578428,"teacher_disagreement_score":0.0127490945,"about_ca_system_score_codex":0.0016066924,"about_ca_system_score_gemma":0.0018239277,"threshold_uncertainty_score":0.025349796},"labels":[],"label_agreement":null},{"id":"W4408689456","doi":"10.3390/en18071566","title":"Enhanced IoT-Based Optimization for a Hybrid Power System in Cartwright, Labrador","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Internet of Things; Power (physics); Computer science; Embedded system; Physics","score_opus":0.0026240598024476424,"score_gpt":0.18897227070559172,"score_spread":0.18634821090314407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408689456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77362424,0.00031999536,0.19202174,0.00037732386,0.00007393456,0.00026332357,0.0005075847,0.0040188716,0.028793013],"genre_scores_gemma":[0.9855869,0.000047197955,0.00987024,0.000021772421,0.000005528437,0.0000532362,0.0001127077,0.000046332407,0.004256109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998734,0.000027908087,0.0000048519096,0.000030081075,0.000045163502,0.000018510967],"domain_scores_gemma":[0.9999399,0.000016427293,0.000008212115,0.000008619095,0.000017601807,0.000009150528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021903444,0.0005081144,0.00044464308,0.00027153827,0.00044246472,0.0010047221,0.00043386448,0.00034440815,0.0034453215],"category_scores_gemma":[0.00020127764,0.0001968193,0.00026267272,0.00028838418,0.00020202962,0.00040135684,0.000355791,0.00029453504,0.00042517713],"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":[0.0009851159,0.0003854579,0.008924412,0.0003162238,0.0001364026,0.0009808431,0.00027653368,0.77168244,0.078422226,0.0025724731,0.005297543,0.1300203],"study_design_scores_gemma":[0.00006600525,0.00038023194,0.00525117,0.000013541558,0.000031710162,0.00008629273,0.00009307443,0.975864,0.012605826,0.00067014736,0.0049151643,0.000022849363],"about_ca_topic_score_codex":0.011180714,"about_ca_topic_score_gemma":0.018500475,"teacher_disagreement_score":0.9888193,"about_ca_system_score_codex":0.00059786363,"about_ca_system_score_gemma":0.0005162403,"threshold_uncertainty_score":0.022231221},"labels":[],"label_agreement":null},{"id":"W4408771485","doi":"10.3390/en18071601","title":"Optimal Protection Coordination for Grid-Connected and Islanded Microgrids Assisted by the Crow Search Algorithm: Application of Dual-Setting Overcurrent Relays and Fault Current Limiters","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","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":"Dalhousie University","funders":"","keywords":"Overcurrent; Dual (grammatical number); Grid; Computer science; Algorithm; Limiter; Fault (geology); Current (fluid); Reliability engineering; Engineering; Electrical engineering; Mathematics; Telecommunications; Biology","score_opus":0.007886667730602355,"score_gpt":0.2472611721305623,"score_spread":0.23937450439995997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408771485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03606893,0.00042483318,0.95885444,0.00012497662,0.000048634,0.000053408803,0.000026464175,0.00021806205,0.0041802265],"genre_scores_gemma":[0.88806504,0.0003010082,0.10934814,0.00004679942,0.000026781365,0.000089360736,0.000058641213,0.00004337797,0.0020209139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997559,0.000095777395,0.000011754633,0.000048717513,0.00005547724,0.000032363012],"domain_scores_gemma":[0.9997168,0.00012940576,0.000050250885,0.00002088804,0.000059884314,0.000022787948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785589,0.0008243428,0.000694153,0.00040571572,0.00030356698,0.00090321916,0.0007673864,0.00072697195,0.000978605],"category_scores_gemma":[0.0013720447,0.00037216517,0.00037483993,0.00039675043,0.0004296684,0.0005455787,0.0007467104,0.0005644794,0.00014681045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035387042,0.000018091163,0.0001862137,0.000032659853,0.000013925795,0.000056228317,0.000034177585,0.97865784,0.0008917104,0.0056022485,0.0003035323,0.014167987],"study_design_scores_gemma":[0.0000059643826,0.000014727917,0.000026627262,0.0000018824497,0.0000028136992,0.000005023098,0.0000053240556,0.998884,0.00013595667,0.0007477617,0.00016838708,0.0000015014152],"about_ca_topic_score_codex":0.007776981,"about_ca_topic_score_gemma":0.0058207544,"teacher_disagreement_score":0.007776981,"about_ca_system_score_codex":0.0006129342,"about_ca_system_score_gemma":0.0011548008,"threshold_uncertainty_score":0.015463412},"labels":[],"label_agreement":null},{"id":"W4408772537","doi":"10.3390/en18071603","title":"Development in Photoelectrochemical Water Splitting Using Carbon-Based Materials: A Path to Sustainable Hydrogen Production","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Water splitting; Hydrogen production; Path (computing); Production (economics); Hydrogen; Carbon fibers; Sustainable development; Materials science; Environmental science; Computer science; Chemistry; Photocatalysis; Catalysis; Economics","score_opus":0.008411376973174439,"score_gpt":0.2568483838826878,"score_spread":0.2484370069095134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408772537","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":[0.004349348,0.983787,0.0032356968,0.0009109372,0.0006018866,0.000018808032,0.000051547402,0.000036197598,0.0070086187],"genre_scores_gemma":[0.017972473,0.97512734,0.0033374417,0.0004979648,0.00030051905,0.000023511728,0.000082789695,0.0000079153415,0.0026500437],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999856,0.000016712294,0.000010172166,0.00003055355,0.000065277454,0.00002125645],"domain_scores_gemma":[0.9999031,0.000042117783,0.000015674785,0.000004351593,0.000026380723,0.0000083999075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028076372,0.0006632654,0.00049183413,0.00078064454,0.00022473113,0.00066385424,0.00051778526,0.0010165224,0.0016542879],"category_scores_gemma":[0.00021313573,0.00023163606,0.0003357569,0.0011313186,0.00032517719,0.0015459659,0.00045414772,0.00100027,0.00064830214],"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":[0.00007808423,0.00015498544,0.0005254954,0.047302403,0.00016431474,0.0007492581,0.0002681496,0.0017936096,0.17805064,0.054811694,0.019785214,0.6963161],"study_design_scores_gemma":[0.000010079885,0.00030329448,0.00096438377,0.002221403,0.00011121588,0.0009897766,0.0001949498,0.0008699545,0.036003992,0.009010119,0.94928086,0.000039931823],"about_ca_topic_score_codex":0.0003728395,"about_ca_topic_score_gemma":0.00097288913,"teacher_disagreement_score":0.0016542879,"about_ca_system_score_codex":0.00043013025,"about_ca_system_score_gemma":0.00073821255,"threshold_uncertainty_score":0.005534172},"labels":[],"label_agreement":null},{"id":"W4408944777","doi":"10.3390/en18071690","title":"Enhancing the Performance of Natural Ester Insulating Liquids in Power Transformers: A Comprehensive Review on Antioxidant Additives for Improved Oxidation Stability","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"National Research Council Sri Lanka","keywords":"Antioxidant; Transformer; Biochemical engineering; Chemistry; Process engineering; Materials science; Chemical engineering; Engineering; Organic chemistry; Electrical engineering; Voltage","score_opus":0.015294973926425868,"score_gpt":0.2722446093245167,"score_spread":0.25694963539809085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408944777","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":[0.0009503072,0.99691224,0.0003358122,0.000120540346,0.00012748073,0.000009348689,0.000043329394,0.000014392455,0.0014865481],"genre_scores_gemma":[0.0040646014,0.9945538,0.00040446522,0.0000990936,0.000062264764,0.000010955724,0.000049698167,0.0000032100875,0.0007519283],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981827,0.000024412706,0.00002775881,0.00003647101,0.000070897244,0.000022237691],"domain_scores_gemma":[0.9997472,0.00012424562,0.000050965366,0.000008652234,0.00005526601,0.000013585832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047737441,0.00093619764,0.0010545825,0.0021757714,0.00026812573,0.00079360657,0.00055050297,0.0007625068,0.0032888458],"category_scores_gemma":[0.0005643707,0.00035500378,0.0008169073,0.0017087619,0.00023616171,0.0010581455,0.00044193066,0.0010563084,0.0011150137],"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":[0.00012510543,0.0002457675,0.00032483507,0.07838015,0.00024160121,0.00036904312,0.00013530334,0.0014062489,0.024001108,0.006387117,0.016232735,0.8721509],"study_design_scores_gemma":[0.00002055116,0.00040048506,0.0012651131,0.00710344,0.00044343944,0.0009938319,0.00008414533,0.0004283093,0.012148388,0.0017972646,0.97526747,0.000047561833],"about_ca_topic_score_codex":0.0006996632,"about_ca_topic_score_gemma":0.001475289,"teacher_disagreement_score":0.0032888458,"about_ca_system_score_codex":0.0002978338,"about_ca_system_score_gemma":0.00062847364,"threshold_uncertainty_score":0.011002243},"labels":[],"label_agreement":null},{"id":"W4409000362","doi":"10.3390/en18071740","title":"Combining Energy Performance and Indoor Environmental Quality (IEQ) in Buildings: A Systematic Review on Common IEQ Guidelines and Energy Codes in North America","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Facilities and Workplace Management","field":"Psychology","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Environmental quality; Architectural engineering; Energy performance; Energy (signal processing); Indoor air quality; Quality (philosophy); Environmental science; Environmental economics; Engineering; Environmental engineering; Economics; Mathematics; Ecology; Statistics; Biology; Physics","score_opus":0.03776971115855274,"score_gpt":0.33448214016798383,"score_spread":0.29671242900943107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409000362","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":[0.0011985367,0.99723464,0.00025790304,0.0004222359,0.000086563676,0.00011659908,0.00032630615,0.0000065066624,0.00035063506],"genre_scores_gemma":[0.014296591,0.9833634,0.0010006437,0.00061408116,0.000044919918,0.00031589696,0.00026172574,0.0000056305,0.000097181306],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9888095,0.003537886,0.0038877074,0.0008662999,0.002623905,0.00027459304],"domain_scores_gemma":[0.961922,0.028496284,0.004988598,0.0004428931,0.00385861,0.00029158124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010347232,0.0012589656,0.004249257,0.0108556505,0.0007199428,0.0031681876,0.0015953773,0.0017911623,0.0024812862],"category_scores_gemma":[0.04367887,0.00088471384,0.0066995053,0.013824166,0.0012170504,0.0032531668,0.0021156813,0.001554296,0.00023678038],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007603685,0.000029766295,0.0022070936,0.89094114,0.0028467264,0.00007957256,0.00089710107,0.00020846391,0.00014329414,0.0012152614,0.0030057633,0.09834978],"study_design_scores_gemma":[0.000044195156,0.0000987078,0.008641885,0.939107,0.016266875,0.00024030865,0.00095715246,0.00012336181,0.00015434514,0.000644461,0.033674724,0.000047029574],"about_ca_topic_score_codex":0.026233459,"about_ca_topic_score_gemma":0.07533609,"teacher_disagreement_score":0.026233459,"about_ca_system_score_codex":0.004967159,"about_ca_system_score_gemma":0.020223837,"threshold_uncertainty_score":0.05472207},"labels":[],"label_agreement":null},{"id":"W4409172726","doi":"10.3390/en18071811","title":"Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and Photovoltaic Power Systems for Residential Buildings","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Dimensioning; Photovoltaic system; Wind power; Power (physics); Environmental science; Hybrid power; Architectural engineering; Engineering; Computer science; Reliability engineering; Environmental economics; Electrical engineering; Aerospace engineering; Economics","score_opus":0.008795432184308742,"score_gpt":0.25282305792514037,"score_spread":0.24402762574083162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409172726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98693836,0.00011910992,0.009620199,0.000048781,0.000007968932,0.00004443132,0.00016718148,0.000032338812,0.0030214912],"genre_scores_gemma":[0.99861395,0.000028877927,0.0011005299,0.000001729387,6.146375e-7,0.0000106596835,0.000038474223,0.000002577079,0.0002025873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984705,0.0000703966,0.0000063671428,0.000014781225,0.000028364597,0.00003308295],"domain_scores_gemma":[0.999634,0.0002333978,0.000036470654,0.000024067751,0.00004969497,0.00002239428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046615262,0.0004235576,0.00045602565,0.0004399742,0.00032287484,0.00069702865,0.00025502054,0.00037891322,0.0011430939],"category_scores_gemma":[0.0008474075,0.00032074042,0.00046231397,0.00036714776,0.00036563165,0.00048890966,0.00030841393,0.00032596212,0.000064741624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054172164,0.000021351349,0.000961446,0.000015138829,0.0000114328495,0.00003277952,0.000007309108,0.9961308,0.00072113716,0.00034819276,0.00004921948,0.0016470018],"study_design_scores_gemma":[0.000017822917,0.00013242968,0.0026537133,0.0000045585584,0.000014693919,0.0000136729695,0.000057577374,0.99545926,0.0010444232,0.00045623488,0.00013863074,0.0000069302737],"about_ca_topic_score_codex":0.010316057,"about_ca_topic_score_gemma":0.014210023,"teacher_disagreement_score":0.010316057,"about_ca_system_score_codex":0.0013069398,"about_ca_system_score_gemma":0.0004880355,"threshold_uncertainty_score":0.020511985},"labels":[],"label_agreement":null},{"id":"W4409172737","doi":"10.3390/en18071819","title":"Multi-Input Modeling Approach to Assess the Impacts of Climate Change on Grand Inga Hydropower Potential","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Inga; Hydropower; Climate change; Environmental science; Natural resource economics; Economics; Ecology; Engineering; Electrical engineering","score_opus":0.039290051471219466,"score_gpt":0.2678192615695972,"score_spread":0.2285292100983777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409172737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89096826,0.0005033722,0.07988179,0.0011233623,0.00012676223,0.0002034417,0.006773986,0.00063142384,0.019787671],"genre_scores_gemma":[0.97863674,0.00019985785,0.018335573,0.00006617254,0.000016700269,0.00012199486,0.001080291,0.000044993565,0.0014975923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998006,0.000089182526,0.000011546255,0.00004408153,0.000029906067,0.000024643405],"domain_scores_gemma":[0.9996387,0.0001814242,0.000044199824,0.00004088724,0.000068186724,0.000026643032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057086145,0.0005653557,0.0003605799,0.0008390353,0.00045957413,0.0010373342,0.00094036845,0.0008170724,0.0021438184],"category_scores_gemma":[0.0011420894,0.0003423716,0.0009280518,0.0011788051,0.00024109735,0.0010677904,0.0006339484,0.00071797404,0.00014801041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039168706,0.00006142301,0.0086665945,0.000042159612,0.0001497733,0.000059249793,0.000029086927,0.9833135,0.00079847523,0.0023251409,0.00029098094,0.004224502],"study_design_scores_gemma":[0.00001563792,0.000038226102,0.003976626,0.000009725607,0.000045294983,0.000011253641,0.0000676414,0.9931016,0.00065179757,0.0010368794,0.0010291988,0.000016248525],"about_ca_topic_score_codex":0.04405391,"about_ca_topic_score_gemma":0.0531786,"teacher_disagreement_score":0.04405391,"about_ca_system_score_codex":0.0017160109,"about_ca_system_score_gemma":0.0013603437,"threshold_uncertainty_score":0.087594986},"labels":[],"label_agreement":null},{"id":"W4409173163","doi":"10.3390/en18071820","title":"Applicability of a Heat Recovery Ventilator Retrofit in a Vancouver Residential House","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"British Columbia Institute of Technology","funders":"British Columbia Institute of Technology","keywords":"Single-family detached home; Environmental science; Passive house; Architectural engineering; Engineering; Geography; Archaeology; Efficient energy use","score_opus":0.002781182016452423,"score_gpt":0.18852438677871913,"score_spread":0.18574320476226672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409173163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99690753,0.000015103993,0.00082143815,0.000024168567,0.000005471326,0.000029115763,0.00010548234,0.000035109333,0.0020565616],"genre_scores_gemma":[0.99880624,0.000018657083,0.0005355235,0.000006841456,5.658111e-7,0.00000789486,0.00006763057,0.0000035235673,0.00055306085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997656,0.000051000334,0.0000088167535,0.000049700655,0.0000586722,0.00006625443],"domain_scores_gemma":[0.99978715,0.000066363806,0.000014425112,0.000026700562,0.00007428964,0.000031177387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033575177,0.00041983539,0.0002788954,0.00023321033,0.0006535564,0.00085178105,0.0006611478,0.0005414562,0.0015391932],"category_scores_gemma":[0.0006794844,0.00022066252,0.00032347813,0.00023736875,0.00040076097,0.0003628328,0.0004528672,0.00033373822,0.00024323679],"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":[0.0015897036,0.0011471836,0.094876714,0.00021039603,0.000096578,0.0022413903,0.00044883438,0.8142843,0.04691721,0.001137092,0.0012180489,0.035832454],"study_design_scores_gemma":[0.00028457592,0.0017571056,0.06994296,0.00003584389,0.00009419682,0.00027248773,0.001831138,0.90066016,0.02217398,0.00037655735,0.002493725,0.000077235345],"about_ca_topic_score_codex":0.13514617,"about_ca_topic_score_gemma":0.18202756,"teacher_disagreement_score":0.86485386,"about_ca_system_score_codex":0.001811002,"about_ca_system_score_gemma":0.0011928969,"threshold_uncertainty_score":0.26871908},"labels":[],"label_agreement":null},{"id":"W4409246527","doi":"10.3390/en18081876","title":"Online Identification of Differential Order in Supercapacitor Fractional-Order Models: Advancing Practical Implementation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Order (exchange); Identification (biology); Supercapacitor; Computer science; Differential (mechanical device); Engineering; Economics; Chemistry; Electrochemistry; Biology; Aerospace engineering","score_opus":0.02079065462806942,"score_gpt":0.34687452042730105,"score_spread":0.32608386579923165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409246527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006832198,0.00025002105,0.9912305,0.00008480965,0.000019782263,0.000023851178,0.000023846402,0.0002770562,0.0012579841],"genre_scores_gemma":[0.72378397,0.0010519986,0.27021718,0.0001323182,0.000063872845,0.0001926901,0.00016919157,0.0001454726,0.004243296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997229,0.000056983725,0.000021886706,0.00006122015,0.000113042544,0.000023860768],"domain_scores_gemma":[0.9991936,0.00046064067,0.000106112726,0.00007705603,0.0001411434,0.000021477295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000601409,0.0009454609,0.00074411364,0.00045823032,0.00041956909,0.0010126377,0.00071372424,0.00087706913,0.0017853226],"category_scores_gemma":[0.0025405588,0.00045517398,0.0006883066,0.00034296486,0.0005191428,0.0009352628,0.00085925224,0.0014055944,0.0005145687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010038517,0.00007378083,0.0014270775,0.00039119247,0.000042905453,0.00020017412,0.00029129485,0.8103008,0.01777114,0.017358491,0.00086430507,0.1511784],"study_design_scores_gemma":[0.0000028754137,0.000014537027,0.00007280626,0.000010329848,0.0000040622676,0.00002095361,0.000010537403,0.99576855,0.0013633227,0.0020249486,0.0007006229,0.000006359763],"about_ca_topic_score_codex":0.0059159687,"about_ca_topic_score_gemma":0.005176446,"teacher_disagreement_score":0.0059159687,"about_ca_system_score_codex":0.0005283716,"about_ca_system_score_gemma":0.0008800484,"threshold_uncertainty_score":0.011763096},"labels":[],"label_agreement":null},{"id":"W4409271452","doi":"10.3390/en18071871","title":"Evaluating the Balancing Properties of Wind and Solar Photovoltaic System Production","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Eesti Maaülikool","keywords":"Photovoltaic system; Wind power; Production (economics); Environmental science; Renewable energy; Solar wind; Computer science; Engineering; Electrical engineering; Physics; Economics; Plasma","score_opus":0.02939348778796829,"score_gpt":0.27119641778225195,"score_spread":0.24180292999428366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409271452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98691297,0.0001352985,0.009254579,0.000036893503,0.000010304434,0.00002263885,0.0003144315,0.000051961484,0.003260901],"genre_scores_gemma":[0.9980882,0.000036723977,0.0012503724,0.0000029711196,0.000003427142,0.0000049066034,0.00026313626,0.000007853063,0.00034227443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996424,0.00009536169,0.000029213461,0.000060988477,0.00011773115,0.000054311207],"domain_scores_gemma":[0.9985973,0.00089085556,0.00018126008,0.000106695494,0.00018575686,0.00003812361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089181087,0.00035316477,0.00026526797,0.0007948073,0.000116297546,0.0007499094,0.00018868229,0.00030363415,0.0013395394],"category_scores_gemma":[0.0041300436,0.00016310552,0.00030764833,0.000921882,0.00012630211,0.0007710973,0.00025633076,0.00014099786,0.00020870869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005941175,0.00015389301,0.34268543,0.00021578852,0.00027780342,0.00043410476,0.00015151202,0.54008657,0.022439538,0.0014728879,0.00056948105,0.09091891],"study_design_scores_gemma":[0.000014186204,0.00042409234,0.3487526,0.000020885986,0.00008027679,0.00017210034,0.00028540543,0.63752425,0.01074448,0.0007267597,0.0012286437,0.000026272928],"about_ca_topic_score_codex":0.003570022,"about_ca_topic_score_gemma":0.0040359935,"teacher_disagreement_score":0.003570022,"about_ca_system_score_codex":0.0004079589,"about_ca_system_score_gemma":0.00021375381,"threshold_uncertainty_score":0.007098496},"labels":[],"label_agreement":null},{"id":"W4409282051","doi":"10.3390/en18081907","title":"Energy Production Based on the Chain’s Service Area Size in Biomethane Recovery","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Biogas; Production (economics); Environmental science; Process engineering; Waste management; Engineering; Economics","score_opus":0.011545901201832147,"score_gpt":0.21169647214015208,"score_spread":0.20015057093831992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409282051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86682725,0.0008169522,0.110347256,0.00053358,0.000039343387,0.00012883995,0.00035957605,0.000080220176,0.020866968],"genre_scores_gemma":[0.99096984,0.00033182232,0.0041400804,0.000016178985,0.000003970749,0.000031310796,0.00010247419,0.000019890475,0.0043844995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999416,0.00015175198,0.000015591906,0.00007565384,0.00013799661,0.00020309312],"domain_scores_gemma":[0.9985563,0.0009344245,0.00017260035,0.000065522014,0.00019347106,0.00007770802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012881603,0.00049730495,0.00039410364,0.0011368889,0.0005911306,0.0016188517,0.0007749951,0.0009292021,0.005080905],"category_scores_gemma":[0.0020464095,0.0003494819,0.000970773,0.0015223352,0.001204139,0.0025893778,0.0012381338,0.00056580716,0.00041759457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036238864,0.000106578445,0.012211713,0.00011960844,0.000042456486,0.0005014019,0.0001662245,0.93841124,0.009282746,0.017566934,0.00036314942,0.020865595],"study_design_scores_gemma":[0.000023836503,0.00038992226,0.0135179525,0.00006523648,0.000076939665,0.00021745307,0.0012717289,0.9563453,0.008685408,0.016100194,0.0032527286,0.000053200103],"about_ca_topic_score_codex":0.025502563,"about_ca_topic_score_gemma":0.02190101,"teacher_disagreement_score":0.025502563,"about_ca_system_score_codex":0.0034229937,"about_ca_system_score_gemma":0.0012850967,"threshold_uncertainty_score":0.050708234},"labels":[],"label_agreement":null},{"id":"W4409290321","doi":"10.3390/en18081913","title":"A Review and Characterization of Energy-Harvesting Resources in Buildings with a Case Study of a Commercial Building in a Cold Climate—Toronto, Canada","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Architectural engineering; Cold climate; Characterization (materials science); Climate change; Environmental science; Civil engineering; Environmental planning; Engineering; Geography; Meteorology; Geology; Materials science","score_opus":0.014458718984463454,"score_gpt":0.2585089374908432,"score_spread":0.24405021850637973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409290321","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":[0.0008479379,0.9962394,0.00020272969,0.000097312884,0.000055005858,0.00000953194,0.00011329087,0.0000043946156,0.0024304118],"genre_scores_gemma":[0.0044990303,0.9943342,0.00029337054,0.00004976829,0.000026484273,0.0000052103896,0.00010239095,0.0000019009792,0.0006876416],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995863,0.000043181706,0.00006916064,0.000052338783,0.0002093879,0.000039705086],"domain_scores_gemma":[0.9992986,0.00025647233,0.000098606375,0.000017802045,0.00029705782,0.000031363037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070768886,0.0008702509,0.0010600539,0.0057595423,0.0004880027,0.0013246206,0.0009050136,0.0005862215,0.0022913662],"category_scores_gemma":[0.0008141311,0.00033136425,0.00069586415,0.009332628,0.0005543103,0.0008179312,0.00042160446,0.00043131335,0.00041034224],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007539385,0.00006371963,0.0013266066,0.10793725,0.0002567911,0.0005207799,0.00061147753,0.00249941,0.0043136454,0.007129958,0.021280404,0.8539847],"study_design_scores_gemma":[0.000003851356,0.00009230332,0.007764415,0.017139733,0.00042429008,0.0007178639,0.00043745863,0.00029533543,0.0015916942,0.0005768881,0.97091305,0.000043089996],"about_ca_topic_score_codex":0.16016373,"about_ca_topic_score_gemma":0.29069522,"teacher_disagreement_score":0.83983624,"about_ca_system_score_codex":0.003890829,"about_ca_system_score_gemma":0.007857249,"threshold_uncertainty_score":0.31846297},"labels":[],"label_agreement":null},{"id":"W4409361758","doi":"10.3390/en18081969","title":"The Physiochemical Properties of Pellets Made from the Foliage of Vegetable Crops","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pellets; Agronomy; Environmental science; Agricultural engineering; Agroforestry; Engineering; Materials science; Biology","score_opus":0.0053035283230956284,"score_gpt":0.1761322066527169,"score_spread":0.17082867832962126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409361758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998816,0.00026680646,0.00035508204,0.0000052681175,0.0000026855535,0.0000043584437,0.00017029313,0.000005548577,0.000374033],"genre_scores_gemma":[0.99756575,0.0003233629,0.00092324294,0.000009776437,0.0000011625178,0.000008477342,0.00044211984,0.00001094412,0.0007152184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999176,0.000006936653,0.000005617494,0.000016641212,0.000038320093,0.00001490119],"domain_scores_gemma":[0.9998598,0.000032460997,0.00003473879,0.0000060886637,0.000046579098,0.00002037838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615361,0.00031116477,0.00015092634,0.00045234387,0.00017021062,0.0002901484,0.00010893545,0.00014302018,0.00071977236],"category_scores_gemma":[0.0002246977,0.00013042796,0.00021431828,0.00028567231,0.000117809504,0.00021724033,0.00014434723,0.00026706056,0.00017095443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007827242,0.000010500265,0.005674907,0.000047652615,0.000013179392,0.00006136739,0.000035967954,0.00009492829,0.99148715,0.00001215768,0.000013922005,0.0024700041],"study_design_scores_gemma":[0.000006873769,0.00068881304,0.2834177,0.00003154374,0.00005993787,0.0003265437,0.0004042237,0.0010971144,0.71251076,0.000033590113,0.0014038123,0.000019048715],"about_ca_topic_score_codex":0.0028573899,"about_ca_topic_score_gemma":0.0077671744,"teacher_disagreement_score":0.0028573899,"about_ca_system_score_codex":0.00016924995,"about_ca_system_score_gemma":0.00009916691,"threshold_uncertainty_score":0.0056815147},"labels":[],"label_agreement":null},{"id":"W4409361763","doi":"10.3390/en18081967","title":"Flocking-Inspired Solar Tracking System with Adaptive Performance in Varied Environmental Conditions","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; École de Technologie Supérieure","funders":"","keywords":"Flocking (texture); Computer science; Environmental science; Materials science","score_opus":0.008150769177748493,"score_gpt":0.20716638073449217,"score_spread":0.1990156115567437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409361763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33965707,0.0005954154,0.64210534,0.00023142488,0.00019081477,0.00013446152,0.00019950111,0.0035338176,0.013352192],"genre_scores_gemma":[0.95779926,0.000087260676,0.038434587,0.00009788496,0.000017816794,0.00007574285,0.0001276736,0.000047816,0.0033119756],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999125,0.000008630662,0.0000048358106,0.000036286918,0.000024498226,0.000013144218],"domain_scores_gemma":[0.99989116,0.000021162394,0.000017702629,0.000019122566,0.000037339723,0.000013487307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017748856,0.00032368602,0.00047219882,0.00019012869,0.00028806625,0.000341803,0.00063003955,0.00035478827,0.0011828594],"category_scores_gemma":[0.00031980092,0.00013844893,0.00023332286,0.00020172377,0.000105566796,0.00032050934,0.00041645163,0.0002845334,0.00040070942],"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":[0.0004581861,0.00030406928,0.0073660114,0.00031455103,0.00017266575,0.0005570453,0.00041793424,0.32046112,0.22355472,0.0029890595,0.007165576,0.4362391],"study_design_scores_gemma":[0.000033579898,0.00017485046,0.0025786276,0.0000101748865,0.000037168178,0.00012073088,0.00001880845,0.9796323,0.01410447,0.0006984866,0.002572217,0.000018678946],"about_ca_topic_score_codex":0.0016988955,"about_ca_topic_score_gemma":0.0024078945,"teacher_disagreement_score":0.0016988955,"about_ca_system_score_codex":0.00020334203,"about_ca_system_score_gemma":0.00020971986,"threshold_uncertainty_score":0.003957033},"labels":[],"label_agreement":null},{"id":"W4409368431","doi":"10.3390/en18081957","title":"The Strategic Selection of Concentrated Solar Thermal Power Technologies in Developing Countries Using a Fuzzy Decision Framework","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure; Concordia University","funders":"Islamic University of Madinah","keywords":"Selection (genetic algorithm); Concentrated solar power; Fuzzy logic; Power (physics); Solar power; Thermal; Environmental economics; Computer science; Business; Engineering; Renewable energy; Economics; Artificial intelligence; Electrical engineering; Geography; Physics; Meteorology; Thermodynamics","score_opus":0.015539731909314717,"score_gpt":0.27251528173914114,"score_spread":0.2569755498298264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409368431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75462127,0.0005081691,0.2186239,0.00059906824,0.000020038267,0.00043405325,0.0002491308,0.000043302432,0.024901014],"genre_scores_gemma":[0.9738913,0.00021833077,0.025202176,0.000019454023,0.000003268197,0.00008354612,0.000031696654,0.0000023177197,0.00054785435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986563,0.00084699696,0.000047624115,0.00010274729,0.00015012779,0.00019618335],"domain_scores_gemma":[0.99895155,0.0006866,0.00012357868,0.000018901048,0.00012291624,0.00009640963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026405877,0.00076593034,0.0006499475,0.0024030579,0.0011372615,0.0032460454,0.0009193776,0.00096370396,0.0010614824],"category_scores_gemma":[0.0022662177,0.0005032334,0.0009435468,0.0017118582,0.0011623396,0.0011163135,0.0010647288,0.0005741209,0.00006957211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017553571,0.00011208836,0.0037225736,0.00011940111,0.00008237196,0.0006710477,0.00040514438,0.9499908,0.0015746877,0.030848632,0.00028829245,0.01200946],"study_design_scores_gemma":[0.000031506985,0.00011262927,0.0011136323,0.00006441956,0.000047670135,0.00004588587,0.0012880411,0.98640037,0.00075188867,0.009547335,0.0005663001,0.000030375137],"about_ca_topic_score_codex":0.016610406,"about_ca_topic_score_gemma":0.019103149,"teacher_disagreement_score":0.016610406,"about_ca_system_score_codex":0.004385315,"about_ca_system_score_gemma":0.0033725982,"threshold_uncertainty_score":0.03302747},"labels":[],"label_agreement":null},{"id":"W4409455469","doi":"10.3390/en18082026","title":"Industrial Electricity Pricing and Renewable Energy: A Temporal Analysis of the Effect of Taxes","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficiency and Management","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Electricity; Economics; Environmental economics; Electricity retailing; Electricity pricing; Natural resource economics; Microeconomics; Industrial organization; Electricity market; Engineering; Electrical engineering","score_opus":0.006511278355177815,"score_gpt":0.2189959184223628,"score_spread":0.21248464006718498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409455469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99260217,0.00033416686,0.00082268054,0.00013370861,0.000013228851,0.000014042582,0.0010840655,0.00001970903,0.0049762996],"genre_scores_gemma":[0.9979176,0.00016585412,0.0001891599,0.000015512716,0.0000105053805,0.0000071660834,0.00091215514,0.0000064744863,0.00077558955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994041,0.00013270491,0.000051450694,0.0001172848,0.00017645666,0.000117991025],"domain_scores_gemma":[0.9969363,0.0012091348,0.0009991563,0.00020547067,0.0004930889,0.00015687251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000742401,0.00012333294,0.00024985662,0.0011680262,0.00020953777,0.0008776526,0.00026481994,0.0002796833,0.0027837749],"category_scores_gemma":[0.004310325,0.00009958956,0.0004989112,0.0022508372,0.00023014129,0.0005747133,0.0005434287,0.00051372434,0.00038290594],"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":[0.000222487,0.00009806477,0.974848,0.00003654661,0.00019707346,0.0004010583,0.0003268682,0.0045258133,0.000624998,0.0016351424,0.0008003435,0.016283575],"study_design_scores_gemma":[0.0000019680076,0.000038267845,0.9929941,0.000010732211,0.000031997413,0.00011654612,0.00046827944,0.0043401592,0.00020375029,0.00026042768,0.0015262301,0.0000075232797],"about_ca_topic_score_codex":0.015362737,"about_ca_topic_score_gemma":0.012691852,"teacher_disagreement_score":0.015362737,"about_ca_system_score_codex":0.0005908495,"about_ca_system_score_gemma":0.00039612516,"threshold_uncertainty_score":0.030546665},"labels":[],"label_agreement":null},{"id":"W4409479792","doi":"10.3390/en18082028","title":"Low-Temperature Performance and Durability of Electric Vehicle Battery Cells Under Isothermal Conditions","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada; National Research Council Canada","funders":"Environment and Climate Change Canada; Transport Canada","keywords":"Durability; Isothermal process; Battery (electricity); Automotive engineering; Electric vehicle; Materials science; Environmental science; Nuclear engineering; Composite material; Engineering; Thermodynamics; Physics","score_opus":0.004435007866705737,"score_gpt":0.2229940695910723,"score_spread":0.21855906172436657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409479792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963754,0.00077706156,0.00059514353,0.000044641725,0.000016358872,0.000009799165,0.00082225265,0.000053646963,0.0013057577],"genre_scores_gemma":[0.9974956,0.00037364577,0.00030541178,0.000019130535,0.000005488715,0.000015350823,0.0005634747,0.000022945478,0.0011990041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966323,0.00001786621,0.000030236723,0.000087187334,0.00014987211,0.00005153471],"domain_scores_gemma":[0.99959,0.00010218014,0.00004145862,0.000051625277,0.00019482098,0.000019974585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003426717,0.00025409608,0.00038040167,0.00042901337,0.00040935646,0.00063065835,0.0004741846,0.00039157024,0.0022243264],"category_scores_gemma":[0.0008621904,0.00014545757,0.000275753,0.0005843689,0.0003908195,0.0006864981,0.0003537698,0.0004614556,0.00060727494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053734845,0.000118743985,0.016711798,0.00042703527,0.000058961585,0.00038599863,0.0008813565,0.003952584,0.9442897,0.00036915147,0.0011253682,0.031141896],"study_design_scores_gemma":[0.000009381113,0.0006067031,0.026641807,0.000030402749,0.000033743723,0.00032102165,0.0005472125,0.004086135,0.9638342,0.00013550319,0.0037226542,0.000031109576],"about_ca_topic_score_codex":0.0020425431,"about_ca_topic_score_gemma":0.0035107343,"teacher_disagreement_score":0.0022243264,"about_ca_system_score_codex":0.00039103994,"about_ca_system_score_gemma":0.00017830478,"threshold_uncertainty_score":0.0074411035},"labels":[],"label_agreement":null},{"id":"W4409669398","doi":"10.3390/en18092151","title":"Exergy Analysis of an On-Vehicle Floating Piston Hydrogen Compression System for Direct-Injection Engines","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Piston (optics); Automotive engineering; Compression (physics); Hydrogen; Exergy; Hydrogen vehicle; Materials science; Environmental science; Engineering; Chemistry; Process engineering; Hydrogen fuel; Physics; Composite material; Organic chemistry","score_opus":0.008239064146604105,"score_gpt":0.2533044273082621,"score_spread":0.24506536316165797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409669398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898491,0.0001997137,0.006096541,0.000027863685,0.000009554531,0.000058098718,0.00047184198,0.000118131386,0.0031691403],"genre_scores_gemma":[0.99681747,0.00010920804,0.00092401827,0.0000051203892,0.0000013148992,0.000022988273,0.00042761958,0.000017877777,0.0016743629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998908,0.000008922583,0.0000057309444,0.0000141776245,0.00006498915,0.000015342552],"domain_scores_gemma":[0.9999182,0.00003011061,0.0000062722956,0.000006920204,0.00003156585,0.0000068268873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018209555,0.00040411745,0.00043349742,0.0006680268,0.0003324182,0.00044976495,0.00039410085,0.00024723852,0.0018118728],"category_scores_gemma":[0.00021796963,0.0001288838,0.00040237914,0.0003518372,0.00024159692,0.0003453457,0.00021541229,0.00024164576,0.0003082299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014545086,0.00039411738,0.015109175,0.0007623094,0.000096837546,0.0006761127,0.00033392673,0.44915098,0.44611084,0.0014481896,0.0011499453,0.08331308],"study_design_scores_gemma":[0.00005303251,0.0015687426,0.036570527,0.0000301406,0.00008158143,0.00015709104,0.00032651794,0.64106965,0.31547284,0.0005202455,0.004092218,0.000057369383],"about_ca_topic_score_codex":0.007762534,"about_ca_topic_score_gemma":0.005600396,"teacher_disagreement_score":0.007762534,"about_ca_system_score_codex":0.0006997722,"about_ca_system_score_gemma":0.00046870206,"threshold_uncertainty_score":0.015434682},"labels":[],"label_agreement":null},{"id":"W4409766410","doi":"10.3390/en18092184","title":"Enhancing Energy Sustainability in Remote Mining Operations Through Wind and Pumped-Hydro Storage; Application to Raglan Mine, Canada","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"Hatch; Fonds de recherche du Québec – Nature et technologies","keywords":"Sustainability; Environmental science; Wind power; Waste management; Energy storage; Engineering; Environmental engineering; Power (physics); Electrical engineering","score_opus":0.0037545714615038425,"score_gpt":0.21206909272527735,"score_spread":0.2083145212637735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409766410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98092264,0.00049103965,0.0063411742,0.0002834652,0.000014737437,0.00012153667,0.00042688556,0.00020351622,0.011194972],"genre_scores_gemma":[0.9939634,0.00032169785,0.0034240654,0.000010859642,0.0000020380082,0.000012527177,0.00009836356,0.000012919693,0.0021541654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999887,0.000015194306,0.0000027784752,0.000015867832,0.000048795882,0.000030411906],"domain_scores_gemma":[0.9998586,0.00004044388,0.000010862924,0.0000070641636,0.00006273427,0.000020322579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023354031,0.00052395597,0.0003713035,0.00042377043,0.0009006702,0.0007374419,0.0006780286,0.00038795092,0.0018671561],"category_scores_gemma":[0.00035715822,0.00014921676,0.00029867006,0.0008128738,0.00038110986,0.0003401353,0.00039738033,0.0002737149,0.000094262046],"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":[0.0003537091,0.00057438033,0.02376295,0.00044899492,0.00009907268,0.0019932156,0.00031568753,0.849255,0.023668464,0.0033252924,0.0034583933,0.092744835],"study_design_scores_gemma":[0.00016189808,0.0003825268,0.026242591,0.000041343363,0.00006817337,0.00013246325,0.0012978604,0.953126,0.011153026,0.0010038116,0.0063319025,0.000058452133],"about_ca_topic_score_codex":0.81439847,"about_ca_topic_score_gemma":0.8938115,"teacher_disagreement_score":0.18560153,"about_ca_system_score_codex":0.0057704058,"about_ca_system_score_gemma":0.004602672,"threshold_uncertainty_score":0.37338912},"labels":[],"label_agreement":null},{"id":"W4409893468","doi":"10.3390/en18092239","title":"A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Thematic map; Sustainable energy; Energy (signal processing); Developing country; Sustainable development; Political science; Environmental economics; Natural resource economics; Business; Economics; Economic growth; Engineering; Geography; Renewable energy; Cartography; Mathematics; Electrical engineering; Statistics","score_opus":0.02159940953923037,"score_gpt":0.32146560227533455,"score_spread":0.29986619273610415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409893468","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":[0.00009499159,0.99535733,0.00026632744,0.0009958367,0.0005050757,0.000016960028,0.000042931937,0.0000072931307,0.0027132386],"genre_scores_gemma":[0.00057621626,0.99811953,0.00031217787,0.0003191512,0.00017121443,0.000012513508,0.000031176773,0.000002382635,0.00045563572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994362,0.00016849478,0.0001007046,0.000063551284,0.00018914556,0.000041839794],"domain_scores_gemma":[0.99871385,0.0007783306,0.00014982304,0.00003233702,0.00027647967,0.000049313618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014302528,0.0009861186,0.0011347191,0.004288721,0.0005098855,0.001824222,0.00090855936,0.0012793032,0.0060284287],"category_scores_gemma":[0.002418086,0.00035940277,0.0009616292,0.0060605253,0.00058416364,0.0019408652,0.0010260356,0.0018988387,0.001642746],"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":[0.000040886454,0.00007118026,0.00021950481,0.08373743,0.00016805495,0.00016141847,0.0003497319,0.000616598,0.00084068405,0.024740675,0.07128827,0.81776553],"study_design_scores_gemma":[0.0000036107429,0.000033375556,0.00043059658,0.02738784,0.00011531277,0.00021446423,0.00012637062,0.00006463589,0.0001448871,0.0027179555,0.9687492,0.000011774539],"about_ca_topic_score_codex":0.0029239294,"about_ca_topic_score_gemma":0.0056391535,"teacher_disagreement_score":0.0060284287,"about_ca_system_score_codex":0.001313837,"about_ca_system_score_gemma":0.0050362065,"threshold_uncertainty_score":0.020167172},"labels":[],"label_agreement":null},{"id":"W4409903825","doi":"10.3390/en18092258","title":"Compressed Air Energy Storage in Salt Caverns Optimization in Southern Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Mitacs","keywords":"Compressed air energy storage; Compressed air; Energy storage; Salt (chemistry); Environmental science; Energy (signal processing); Waste management; Geology; Engineering; Chemistry; Mechanical engineering; Mathematics; Physics","score_opus":0.002962762364011119,"score_gpt":0.1623950912452121,"score_spread":0.15943232888120099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409903825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987128,0.0001792967,0.0024245996,0.00011717951,0.000009904711,0.000034253884,0.00062335015,0.000050345676,0.009433192],"genre_scores_gemma":[0.9959733,0.00008505428,0.0015913768,0.00001533946,7.3098784e-7,0.000013427632,0.00026818257,0.000008726402,0.0020439813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999157,0.000007126667,0.000002662665,0.000010219106,0.000024412457,0.00003990824],"domain_scores_gemma":[0.9998203,0.000062787825,0.000012857517,0.0000063731322,0.000078490404,0.000019170951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022028855,0.0003868035,0.0004084619,0.00036920788,0.0007896432,0.000760309,0.000606928,0.0004508888,0.0019750127],"category_scores_gemma":[0.0004643901,0.00020581853,0.00036693027,0.0005106367,0.0005543008,0.00020824732,0.0003284765,0.00021963986,0.00010643425],"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":[0.000100436584,0.000033360888,0.00632977,0.000053664506,0.000016026524,0.00019541872,0.000036030124,0.98531383,0.0024102046,0.00065530057,0.0007947027,0.004061217],"study_design_scores_gemma":[0.0000538444,0.00014176372,0.009000514,0.000015749632,0.000026662869,0.000033982207,0.00030104374,0.985642,0.002562669,0.0003830016,0.0018181353,0.000020709846],"about_ca_topic_score_codex":0.7596952,"about_ca_topic_score_gemma":0.8597195,"teacher_disagreement_score":0.24030483,"about_ca_system_score_codex":0.0053300513,"about_ca_system_score_gemma":0.006324656,"threshold_uncertainty_score":0.48344004},"labels":[],"label_agreement":null},{"id":"W4409964398","doi":"10.3390/en18092284","title":"Analysis of the Pelletability of Vegetable Crop Foliage Using a Commercial Flat Die Pellet Mill","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mill; Pellet; Die (integrated circuit); Crop; Agronomy; Environmental science; Agricultural engineering; Pulp and paper industry; Engineering; Materials science; Biology; Composite material; Mechanical engineering","score_opus":0.009115562393538078,"score_gpt":0.22450379684848,"score_spread":0.2153882344549419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409964398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980599,0.000054377168,0.0015374259,0.0000024159092,0.0000012047063,0.0000089639925,0.00018224801,0.000015273925,0.0001381706],"genre_scores_gemma":[0.9965191,0.00010703962,0.0025824548,0.0000030093297,7.2869125e-7,0.000010740349,0.00040714443,0.000012865736,0.00035695598],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999876,0.0000073455767,0.000009158096,0.000038409053,0.000056433862,0.00001265629],"domain_scores_gemma":[0.99982697,0.00006394224,0.000035692578,0.000010194585,0.000051441744,0.000011780584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085689,0.00038040205,0.00035418774,0.0005362056,0.00021428191,0.00037426525,0.00023732304,0.00021315912,0.0006647057],"category_scores_gemma":[0.00031450603,0.0001413058,0.000476029,0.00048729268,0.00011691354,0.00024770878,0.00012198856,0.000214453,0.00019699767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052450295,0.00015192658,0.07201666,0.0001287945,0.00007207822,0.00020724276,0.00009975948,0.006455824,0.89934766,0.00005956814,0.000056806937,0.020879172],"study_design_scores_gemma":[0.000023352428,0.0019334547,0.55332774,0.000019302914,0.00015177779,0.00023589435,0.0002633668,0.07757405,0.36555788,0.000059652706,0.0008162027,0.000037294267],"about_ca_topic_score_codex":0.007888364,"about_ca_topic_score_gemma":0.017641628,"teacher_disagreement_score":0.007888364,"about_ca_system_score_codex":0.00031962048,"about_ca_system_score_gemma":0.00014708564,"threshold_uncertainty_score":0.015684903},"labels":[],"label_agreement":null},{"id":"W4410037258","doi":"10.3390/en18092333","title":"A Comprehensive Review of Cable Monitoring Techniques for Nuclear Power Plants","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Electrical Fault Detection and Protection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Nuclear power; Nuclear engineering; Engineering; Environmental science; Systems engineering; Electrical engineering; Reliability engineering; Computer science; Physics; Nuclear physics","score_opus":0.023461273786838124,"score_gpt":0.3130677907824173,"score_spread":0.2896065169955792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410037258","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":[0.0006965496,0.99170154,0.0029990945,0.00023675585,0.00039428484,0.00003118819,0.0001448429,0.000074542026,0.0037212288],"genre_scores_gemma":[0.0031413527,0.9900344,0.0039177025,0.00025847668,0.00030599494,0.000033324184,0.00026988873,0.000027706295,0.002011225],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990951,0.0001304229,0.0001375057,0.00016829984,0.0004253124,0.00004331144],"domain_scores_gemma":[0.9983883,0.0008124501,0.00022249628,0.000050764622,0.00048012793,0.00004594716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010844888,0.001180747,0.001099132,0.0046723927,0.00037929832,0.0011236795,0.0011974045,0.0011298723,0.005376833],"category_scores_gemma":[0.001948957,0.00050276495,0.0009823949,0.004104714,0.0004094693,0.001988166,0.00058483187,0.0009790242,0.0028553104],"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":[0.00005136342,0.00006920027,0.00046430939,0.029020963,0.00006384189,0.00020186046,0.00010586918,0.00088477985,0.0068299808,0.0020929093,0.021476472,0.93873847],"study_design_scores_gemma":[0.00000584541,0.00018704055,0.002339233,0.0068247584,0.00014403768,0.0012487107,0.00010925222,0.0005465579,0.0040258453,0.0010519462,0.983462,0.0000546782],"about_ca_topic_score_codex":0.0017917004,"about_ca_topic_score_gemma":0.0025015573,"teacher_disagreement_score":0.005376833,"about_ca_system_score_codex":0.0005555265,"about_ca_system_score_gemma":0.0011958515,"threshold_uncertainty_score":0.01798731},"labels":[],"label_agreement":null},{"id":"W4410082744","doi":"10.3390/en18092355","title":"Techno-Economic Comparison of a Large-Scale Nuclear Power Plant, Small Modular Reactors, and Wind and Solar Power Plant Deployment","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Science Fund of the Republic of Serbia","keywords":"Cost of electricity by source; Wind power; Renewable energy; Concentrated solar power; Grid parity; Power station; Modular design; Payback period; Solar power; Electricity; Pumped-storage hydroelectricity; Electricity generation; Energy storage; Stand-alone power system; Nuclear power; Environmental science; Environmental economics; Engineering; Distributed generation; Production (economics); Power (physics); Electrical engineering; Computer science; Economics; Physics","score_opus":0.007879678713139465,"score_gpt":0.22085634378578867,"score_spread":0.2129766650726492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410082744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96899396,0.0008249488,0.0032420675,0.00018736644,0.000046777375,0.000119845245,0.0021869466,0.000061567036,0.024336537],"genre_scores_gemma":[0.9969091,0.0002455219,0.0006867545,0.000009596165,0.000009588089,0.000044449178,0.00089262595,0.000012375835,0.0011899449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904567,0.00035129662,0.000041762705,0.00007135499,0.00035372688,0.00013617541],"domain_scores_gemma":[0.994214,0.0039583994,0.0005397789,0.00024309214,0.00064847455,0.00039630398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016685391,0.00048336017,0.00030310688,0.002921692,0.00027795965,0.001317331,0.0006877702,0.00054963946,0.0035722214],"category_scores_gemma":[0.0042146114,0.0002118096,0.00089307665,0.0035173097,0.0006335045,0.0012144262,0.00062011014,0.00054732716,0.00029844034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006740115,0.0009982941,0.09454341,0.0009906864,0.00042664757,0.0016577067,0.00012690196,0.77128077,0.017571978,0.022128694,0.0030844887,0.08045028],"study_design_scores_gemma":[0.00054336974,0.0063808854,0.6224294,0.00015712394,0.0004878759,0.0012293973,0.0018708635,0.3243462,0.019328443,0.008553181,0.014476744,0.00019640326],"about_ca_topic_score_codex":0.0029637725,"about_ca_topic_score_gemma":0.0059612356,"teacher_disagreement_score":0.0035722214,"about_ca_system_score_codex":0.002503231,"about_ca_system_score_gemma":0.00069202314,"threshold_uncertainty_score":0.01816231},"labels":[],"label_agreement":null},{"id":"W4410157187","doi":"10.3390/en18092395","title":"Analysis and Diagnosis of the Stator Turn-to-Turn Short-Circuit Faults in Wound-Rotor Synchronous Generators","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"China Scholarship Council","keywords":"Turn (biochemistry); Stator; Rotor (electric); Short circuit; Wound rotor motor; Electrical engineering; Control theory (sociology); Engineering; Computer science; Physics; Induction motor; Artificial intelligence; Voltage; Nuclear magnetic resonance","score_opus":0.003676740346470709,"score_gpt":0.20238802175754947,"score_spread":0.19871128141107877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410157187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116608,0.0002628075,0.8818873,0.00007719102,0.000016308852,0.00004778313,0.000064938096,0.00034534786,0.0006902384],"genre_scores_gemma":[0.9656293,0.000099260935,0.033871066,0.000014219536,0.000012381121,0.00001795782,0.0000788555,0.000012755782,0.00026403903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971586,0.0000649836,0.000023522553,0.000057694026,0.00011408697,0.000023920613],"domain_scores_gemma":[0.9985826,0.00075295236,0.00028253166,0.00007708606,0.00026438397,0.00004047054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052459637,0.00062931614,0.0004904189,0.0009537161,0.00015571383,0.0004901343,0.00039496136,0.00048217914,0.0005507166],"category_scores_gemma":[0.0025209372,0.00016394391,0.0002493742,0.00028749474,0.0004209918,0.00067545555,0.0003161441,0.00031136032,0.00010634883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016522036,0.000045757122,0.016103366,0.00016828906,0.000057043115,0.0003714864,0.00012567012,0.8563735,0.021242984,0.0034619228,0.0004082839,0.101476505],"study_design_scores_gemma":[0.000004541616,0.000048598133,0.0033284961,0.000006908145,0.000008478247,0.00007005309,0.000024586961,0.9908434,0.0035801292,0.0019208859,0.00015713662,0.000006785852],"about_ca_topic_score_codex":0.0014913694,"about_ca_topic_score_gemma":0.0012179217,"teacher_disagreement_score":0.0014913694,"about_ca_system_score_codex":0.0004128111,"about_ca_system_score_gemma":0.00028201338,"threshold_uncertainty_score":0.0029951334},"labels":[],"label_agreement":null},{"id":"W4410212161","doi":"10.3390/en18102412","title":"A Simple Thermoelectrical Surface Approach for Numerically Studying Dry Band Formation on Polluted Insulators","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simple (philosophy); Materials science; Surface (topology); Engineering physics; Mathematics; Physics; Geometry; Philosophy; Epistemology","score_opus":0.015785954145923462,"score_gpt":0.2526118976554787,"score_spread":0.23682594350955524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410212161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027535181,0.00010012234,0.9672491,0.000051764215,0.00003312477,0.000034262088,0.0000457654,0.0003054664,0.0046451306],"genre_scores_gemma":[0.6939879,0.00042822454,0.2982747,0.00007646434,0.00004277835,0.00021790664,0.00015060535,0.00023510923,0.006586379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999058,0.000018202601,0.0000045788597,0.000014065384,0.00004711514,0.000010291122],"domain_scores_gemma":[0.9998343,0.000071437345,0.00001591827,0.000029370716,0.000039752755,0.000009072024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021877229,0.00045018256,0.0003709444,0.00038253618,0.00019681535,0.00048309742,0.0007108123,0.00077227945,0.0017589402],"category_scores_gemma":[0.0006110732,0.00024784534,0.0006124399,0.0002863677,0.0004831821,0.0007458161,0.00045132608,0.0005093519,0.00044436744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004200326,0.000050749117,0.0011349499,0.0001586289,0.000028829927,0.00017136145,0.000161219,0.8642017,0.07360382,0.033805918,0.00036471876,0.026276149],"study_design_scores_gemma":[0.0000027332758,0.000008736962,0.00006315011,0.0000023428565,0.000001967177,0.00001686464,0.000008329484,0.99650455,0.0017348238,0.0010137422,0.0006396373,0.0000031721404],"about_ca_topic_score_codex":0.0012856544,"about_ca_topic_score_gemma":0.00116139,"teacher_disagreement_score":0.0017589402,"about_ca_system_score_codex":0.00033149283,"about_ca_system_score_gemma":0.00042129407,"threshold_uncertainty_score":0.00588423},"labels":[],"label_agreement":null},{"id":"W4410301049","doi":"10.3390/en18102496","title":"Kinetic Analysis of Construction, Renovation, and Demolition (CRD) Wood Pyrolysis Using Model-Fitting and Model-Free Methods via Thermogravimetric Analysis","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Mitacs; Université du Québec à Trois-Rivières","keywords":"Thermogravimetric analysis; Pyrolysis; Demolition; Kinetic energy; Materials science; Engineering; Waste management; Chemical engineering; Civil engineering; Physics","score_opus":0.01060143590741076,"score_gpt":0.26156417640170093,"score_spread":0.2509627404942902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410301049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80503654,0.0010749123,0.18940306,0.000048828017,0.000028562921,0.00012690063,0.0014407199,0.00065565226,0.002184799],"genre_scores_gemma":[0.9284839,0.0010170104,0.067041695,0.000017550858,0.000004457189,0.00020811184,0.0014946084,0.0001513317,0.0015814727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994759,0.000066853405,0.000041432468,0.0001452435,0.0002339224,0.000036708916],"domain_scores_gemma":[0.9997354,0.000094314135,0.00003835161,0.000042066968,0.00008184766,0.000007982797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012004222,0.0008459912,0.0007885198,0.0008291553,0.00028180936,0.0005857459,0.00068287505,0.000474671,0.00089309836],"category_scores_gemma":[0.0011371629,0.00042672173,0.0012110197,0.0014134754,0.00020151575,0.0007787818,0.0002879773,0.00062662223,0.00041366238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058039144,0.00037420305,0.009178793,0.00075363927,0.00020034135,0.00024905815,0.00042355267,0.14741957,0.7798204,0.002145676,0.00040608743,0.058448352],"study_design_scores_gemma":[0.000014277822,0.00021028721,0.008863696,0.000015494172,0.00006199691,0.00014950056,0.00008030007,0.5501451,0.43801343,0.0006264103,0.0017443659,0.00007513132],"about_ca_topic_score_codex":0.0024650136,"about_ca_topic_score_gemma":0.0023213606,"teacher_disagreement_score":0.0024650136,"about_ca_system_score_codex":0.00053614785,"about_ca_system_score_gemma":0.00041865616,"threshold_uncertainty_score":0.0063484907},"labels":[],"label_agreement":null},{"id":"W4410317244","doi":"10.3390/en18102512","title":"Built Religious Heritage, Circular Economy, and Life-Cycle Assessment: A Case Study of a Convent Property in the Province of Quebec, Canada","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Religious Tourism and Spaces","field":"Social Sciences","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":"Université Laval","funders":"","keywords":"Circular economy; Property (philosophy); Life-cycle assessment; Economy; History; Religious life; Geography; Economics; Religious studies; Philosophy; Production (economics)","score_opus":0.009170001787070215,"score_gpt":0.2713045826030631,"score_spread":0.2621345808159929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410317244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805315,0.00043842226,0.0015459936,0.00045757118,0.000009695861,0.00024193857,0.0007835611,0.00001383332,0.015977412],"genre_scores_gemma":[0.9931577,0.00037221445,0.001628563,0.000050082082,0.0000027392969,0.000034735996,0.0002669772,0.000008308028,0.0044788495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949384,0.00012823218,0.000011545135,0.000045665027,0.000108480664,0.00021226563],"domain_scores_gemma":[0.99922085,0.00029112346,0.000053808584,0.000031538813,0.00026301714,0.0001396197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006600624,0.00046749046,0.00029571285,0.0013369884,0.0053924364,0.0020482936,0.0015054409,0.0008871002,0.0035256408],"category_scores_gemma":[0.0012254011,0.00017716865,0.00040853975,0.0040575797,0.0016921697,0.00053985923,0.0008739549,0.00077818386,0.00018551172],"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":[0.00078318256,0.0029508672,0.5193044,0.0012116642,0.0002900856,0.03888105,0.07698274,0.10496175,0.0062689213,0.041128974,0.014289146,0.19294743],"study_design_scores_gemma":[0.00008719068,0.0004627768,0.4690729,0.0004940351,0.0001463949,0.0013679077,0.36211875,0.092325225,0.0024440468,0.0033478157,0.067946844,0.0001861207],"about_ca_topic_score_codex":0.98527837,"about_ca_topic_score_gemma":0.99513996,"teacher_disagreement_score":0.04988373,"about_ca_system_score_codex":0.04988373,"about_ca_system_score_gemma":0.020792987,"threshold_uncertainty_score":0.36193347},"labels":[],"label_agreement":null},{"id":"W4410503909","doi":"10.3390/en18102598","title":"Evaluating Performance of Metal-Organic Complexes as Electrodes in Hydrogen Peroxide Fuel Cells","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hydrogen peroxide; Fuel cells; Electrode; Metal; Inorganic chemistry; Materials science; Chemistry; Hydrogen; Chemical engineering; Metallurgy; Organic chemistry; Engineering","score_opus":0.009691548351228825,"score_gpt":0.2417407732886031,"score_spread":0.2320492249373743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410503909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880316,0.0056132795,0.0030203485,0.00017389825,0.00012956427,0.00010114108,0.0003635215,0.00010202624,0.0024646267],"genre_scores_gemma":[0.9865649,0.0043120645,0.005786883,0.00009867246,0.000029094901,0.00010572965,0.0002648001,0.000029082199,0.002808812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994289,0.00007194374,0.000042982436,0.00010444598,0.0002795498,0.00007217284],"domain_scores_gemma":[0.9996979,0.00007963257,0.000049963415,0.00002249366,0.00012870374,0.000021311198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038890622,0.00042774458,0.00035119345,0.00044273242,0.00022696155,0.00054465386,0.00071885716,0.0008604115,0.0009984928],"category_scores_gemma":[0.00074916513,0.00024730526,0.000295073,0.0005402484,0.00021572635,0.00047490158,0.0003167049,0.00047555208,0.00032568848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017468288,0.00010755046,0.00035872724,0.0003450947,0.000026916889,0.0001328157,0.000072580704,0.0002736259,0.99316275,0.0000913652,0.00015724196,0.005096802],"study_design_scores_gemma":[0.000006105094,0.0005734905,0.0009970705,0.000012043934,0.00002272206,0.00007611188,0.00006656917,0.00080944406,0.99558544,0.000021868418,0.0018233756,0.000005832542],"about_ca_topic_score_codex":0.00044794587,"about_ca_topic_score_gemma":0.0008022609,"teacher_disagreement_score":0.0009984928,"about_ca_system_score_codex":0.0002168273,"about_ca_system_score_gemma":0.00011788996,"threshold_uncertainty_score":0.003340304},"labels":[],"label_agreement":null},{"id":"W4410519764","doi":"10.3390/en18102635","title":"Experimental Evaluation of Hybrid Renewable and Thermal Energy Storage Systems for a Net-Zero Energy Greenhouse: A Case Study of Yeoju-Si","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry; National Research Foundation of Korea; Ministry of Agriculture, Food and Rural Affairs; National Research Foundation","keywords":"Renewable energy; Zero-energy building; Greenhouse; Zero (linguistics); Environmental science; Thermal energy; Thermal energy storage; Net (polyhedron); Zero-point energy; Thermal; Engineering; Physics; Mathematics; Thermodynamics; Electrical engineering","score_opus":0.023500152793460894,"score_gpt":0.25508706498656125,"score_spread":0.23158691219310035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410519764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987482,0.000057858637,0.00047916177,0.000017349812,0.000010063158,0.000039840936,0.00013647036,0.00003620967,0.00047485338],"genre_scores_gemma":[0.9988746,0.000046672667,0.0005505235,0.0000063011285,0.00000128465,0.000033105098,0.00007909958,0.0000056174495,0.00040268843],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998313,0.00002986093,0.000014277822,0.000040386425,0.000047238223,0.00003693298],"domain_scores_gemma":[0.9996927,0.000083179264,0.000020235415,0.000034364788,0.00012766608,0.000041962194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047918304,0.00054919464,0.0006164349,0.00042275686,0.00064373773,0.000424755,0.00057143,0.0005541785,0.0014905708],"category_scores_gemma":[0.00030326817,0.00019917382,0.0006651262,0.0003462843,0.00043493533,0.0005946681,0.00040371082,0.00038718697,0.00022572455],"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":[0.0061959154,0.0033867208,0.028904323,0.0013217594,0.0003796984,0.0032023345,0.001026121,0.112734355,0.8024243,0.0011601609,0.0021548565,0.037109468],"study_design_scores_gemma":[0.0010488401,0.019919742,0.057546686,0.000083740764,0.0004341641,0.00041557662,0.0029484974,0.24647158,0.66599715,0.0005078551,0.004456291,0.00016987298],"about_ca_topic_score_codex":0.0060315295,"about_ca_topic_score_gemma":0.0113215605,"teacher_disagreement_score":0.0060315295,"about_ca_system_score_codex":0.00047281047,"about_ca_system_score_gemma":0.00048424953,"threshold_uncertainty_score":0.011992872},"labels":[],"label_agreement":null},{"id":"W4410600994","doi":"10.3390/en18112675","title":"Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":20,"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":"Chinese Academy of Sciences","keywords":"Quarter (Canadian coin); Power (physics); Computer science; Meteorology; Environmental science; Artificial intelligence; Geography; Physics","score_opus":0.006862433688610103,"score_gpt":0.18447970025946211,"score_spread":0.177617266570852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410600994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31099504,0.0019872272,0.6674791,0.0010132383,0.0004917499,0.00007873372,0.00066162524,0.00506377,0.012229418],"genre_scores_gemma":[0.9713103,0.00026003772,0.024026193,0.00015053847,0.000046581576,0.00004981732,0.00040352764,0.00004262142,0.0037105111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989927,0.0000071950653,0.0000061832684,0.000038967035,0.000022526465,0.00002583374],"domain_scores_gemma":[0.9998797,0.000030291996,0.000013555819,0.0000128052925,0.0000522517,0.000011322292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026260337,0.00079406577,0.00063887046,0.0003097931,0.00029238826,0.0005665681,0.0011265058,0.00063831237,0.0014971023],"category_scores_gemma":[0.0005538719,0.00037929343,0.0006341424,0.0003970337,0.00022426514,0.0007103687,0.00053618645,0.00096045766,0.00041668947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013810658,0.00010274276,0.0031829604,0.0000652653,0.000107847154,0.00013488626,0.000056781082,0.86023134,0.00877368,0.0017859446,0.002276172,0.12314426],"study_design_scores_gemma":[0.0000017102436,0.0000069336447,0.00019165278,0.0000018676465,0.0000054428665,0.0000054150582,0.0000015710281,0.9990246,0.000445561,0.00020822352,0.00010459835,0.0000023841044],"about_ca_topic_score_codex":0.025075303,"about_ca_topic_score_gemma":0.025454594,"teacher_disagreement_score":0.025075303,"about_ca_system_score_codex":0.00072581007,"about_ca_system_score_gemma":0.0008695667,"threshold_uncertainty_score":0.04985875},"labels":[],"label_agreement":null},{"id":"W4410600995","doi":"10.3390/en18112681","title":"Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Cascade; Hydroelectricity; Sensitivity (control systems); Voltage; Power (physics); Chain (unit); Computer science; Environmental science; Engineering; Electrical engineering; Electronic engineering; Physics","score_opus":0.005202296668934442,"score_gpt":0.22907398141028987,"score_spread":0.22387168474135544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410600995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21559596,0.0001948389,0.77774787,0.00021954052,0.000026883088,0.000096220174,0.000061129074,0.0002328325,0.00582482],"genre_scores_gemma":[0.9920141,0.000042662,0.007433463,0.000017479651,0.0000034826996,0.000037806316,0.000019495239,0.000009959207,0.00042171188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996026,0.0001278462,0.000014942739,0.00009255379,0.0000874828,0.000074619704],"domain_scores_gemma":[0.9993641,0.00039119157,0.00009963092,0.000021978709,0.00008977885,0.000033285058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089660735,0.00091857027,0.00063086965,0.00042220633,0.00032627492,0.00075059396,0.0005122486,0.00060971593,0.00094175426],"category_scores_gemma":[0.0016163551,0.00048316742,0.0005223229,0.00038908015,0.0006154622,0.00056830933,0.00086069846,0.0005748741,0.000087608285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014311711,0.000011049555,0.0001626682,0.000011041455,0.000010037294,0.000026552021,0.000011230359,0.9959408,0.00088775135,0.0007305083,0.000057316818,0.0021366728],"study_design_scores_gemma":[0.0000028323773,0.000013496161,0.00006578435,9.83629e-7,0.000002938616,0.0000018809635,0.000004928653,0.99935454,0.00018866171,0.00033391043,0.000028251705,0.0000017299204],"about_ca_topic_score_codex":0.007921728,"about_ca_topic_score_gemma":0.0042684795,"teacher_disagreement_score":0.007921728,"about_ca_system_score_codex":0.00080134295,"about_ca_system_score_gemma":0.0008402926,"threshold_uncertainty_score":0.015751243},"labels":[],"label_agreement":null},{"id":"W4410628127","doi":"10.3390/en18112714","title":"A Numerical Approach to Evaluate the Geothermal Potential of a Flooded Open-Pit Mine: Example from the Carey Canadian Mine (Canada)","year":2025,"lang":"en","type":"article","venue":"Energies","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":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Open-pit mining; Geothermal gradient; Mining engineering; Geology; Environmental science; Engineering; Petroleum engineering; Civil engineering; Paleontology","score_opus":0.016654063372140874,"score_gpt":0.2304782208714817,"score_spread":0.21382415749934083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410628127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556478,0.00020752028,0.01765762,0.00038495028,0.00003671393,0.00011660989,0.00097414164,0.00017866792,0.024795962],"genre_scores_gemma":[0.98662704,0.00014052876,0.009704524,0.000029502171,0.0000034086427,0.000046329937,0.00023429046,0.00001763642,0.0031966725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999131,0.000009301898,0.0000034855184,0.00001177796,0.000032956053,0.000029504141],"domain_scores_gemma":[0.9997986,0.00008310988,0.000018754006,0.000009606328,0.00006968637,0.000020224381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016905124,0.00043668645,0.00036352128,0.000548347,0.0011243267,0.0009099924,0.0008153283,0.0011095173,0.0021214422],"category_scores_gemma":[0.00051223714,0.00024526703,0.00044142164,0.00066961785,0.0007258498,0.00022361946,0.00045422674,0.00049052155,0.0001317796],"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":[0.00004083032,0.000054431835,0.00422337,0.00005380892,0.000008626111,0.0001980374,0.000094207324,0.9864092,0.004307332,0.0012049093,0.00036650954,0.003038765],"study_design_scores_gemma":[0.000013597094,0.00002575206,0.0024772664,0.000007662719,0.0000063848074,0.00002350703,0.00015677745,0.9955,0.0010306296,0.00017164445,0.00057580863,0.000010925905],"about_ca_topic_score_codex":0.6239554,"about_ca_topic_score_gemma":0.6079509,"teacher_disagreement_score":0.37604457,"about_ca_system_score_codex":0.0030332692,"about_ca_system_score_gemma":0.0035611975,"threshold_uncertainty_score":0.75651836},"labels":[],"label_agreement":null},{"id":"W4410721899","doi":"10.3390/en18112728","title":"Recent Developments in the CO2-Cyclic Solvent Injection Process to Improve Oil Recovery from Poorly Cemented Heavy Oil Reservoirs: The Case of Canadian Reservoirs","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Petroleum Technology Research Centre; Energi Simulation","keywords":"Petroleum engineering; Process (computing); Environmental science; Enhanced oil recovery; Solvent; Geology; Chemistry; Computer science; Organic chemistry","score_opus":0.018467132551011758,"score_gpt":0.2725026827488789,"score_spread":0.25403555019786717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410721899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82158583,0.05943758,0.05464643,0.005284236,0.00028812385,0.00025372303,0.00061569794,0.0004712987,0.05741714],"genre_scores_gemma":[0.94145936,0.027746735,0.024371965,0.00015362487,0.000037938975,0.00003424358,0.00024706125,0.00005658619,0.005892431],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933773,0.000064044514,0.000033108347,0.000086735316,0.00034160088,0.00013675056],"domain_scores_gemma":[0.9995353,0.00009771969,0.000047562728,0.00004448237,0.00022681714,0.00004806582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013430697,0.00040845567,0.00042050183,0.0006689885,0.0011117561,0.0015739234,0.00077073,0.0006659676,0.0011026469],"category_scores_gemma":[0.0009751205,0.00025954001,0.0005877371,0.0011520896,0.0011843098,0.0012879194,0.00077985047,0.0008748769,0.0002794506],"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":[0.0008164926,0.00039220415,0.0123207895,0.005852852,0.0001665563,0.004377263,0.00164867,0.14054747,0.4961575,0.026309911,0.004885114,0.3065252],"study_design_scores_gemma":[0.0000667339,0.00093966426,0.014783034,0.00051125995,0.00031927353,0.0016919718,0.0021742447,0.11262294,0.6379136,0.0037422401,0.224935,0.0003000991],"about_ca_topic_score_codex":0.11502044,"about_ca_topic_score_gemma":0.20392147,"teacher_disagreement_score":0.88497955,"about_ca_system_score_codex":0.003687359,"about_ca_system_score_gemma":0.0035633065,"threshold_uncertainty_score":0.22870195},"labels":[],"label_agreement":null},{"id":"W4410778069","doi":"10.3390/en18112784","title":"The Q-NPT: Redefining Nuclear Energy Governance for Sustainability","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sustainability; Corporate governance; Energy (signal processing); Business; Public administration; Political science; Nuclear engineering; Environmental economics; Physics; Economics; Engineering; Finance; Quantum mechanics","score_opus":0.003544989906337417,"score_gpt":0.20507089230938572,"score_spread":0.2015259024030483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410778069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029831639,0.005444075,0.41781005,0.19119738,0.001682283,0.00041216196,0.00009788323,0.00031242528,0.3532121],"genre_scores_gemma":[0.9047392,0.0037430662,0.065157026,0.010020223,0.0003715257,0.0004176447,0.00007341733,0.00009605534,0.015381787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9877006,0.007932003,0.00041642174,0.0009442791,0.0018066254,0.0012000086],"domain_scores_gemma":[0.9921801,0.0034491934,0.00081740017,0.0012213034,0.0013353889,0.00099661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017188467,0.000486734,0.00040588976,0.0010341298,0.003909552,0.00872378,0.0015161118,0.0050510378,0.0044141766],"category_scores_gemma":[0.014488307,0.0002930251,0.00074292155,0.0012209865,0.022174316,0.013226021,0.009769519,0.0055221217,0.00055724394],"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":[0.0000044977446,0.00000895863,0.00022170783,0.000043406235,0.0000025199572,0.000032816904,0.00064371526,0.0009828763,0.00008721256,0.987857,0.0017108717,0.008404485],"study_design_scores_gemma":[0.000008742172,0.00003697398,0.00033509024,0.00025244226,0.0000050352724,0.00007178175,0.0014928201,0.0023631875,0.00030380732,0.9157741,0.07933841,0.000017500619],"about_ca_topic_score_codex":0.0070389127,"about_ca_topic_score_gemma":0.0077742618,"teacher_disagreement_score":0.017188467,"about_ca_system_score_codex":0.009124059,"about_ca_system_score_gemma":0.023852618,"threshold_uncertainty_score":0.09090245},"labels":[],"label_agreement":null},{"id":"W4410899196","doi":"10.3390/en18112864","title":"Microstructure-Driven Hygrothermal Behavior of Mycelium-Based Composites for Bio-Based Insulation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Microstructure; Composite material; Materials science; Mycelium; Botany","score_opus":0.010517582345490545,"score_gpt":0.22227319550731675,"score_spread":0.2117556131618262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410899196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143815,0.0011154496,0.0062833237,0.000021154314,0.000012720794,0.00001778247,0.00011284782,0.00004906818,0.0009495841],"genre_scores_gemma":[0.9957741,0.00040147163,0.0034300806,0.000011070456,0.000002997302,0.000014289746,0.000065280154,0.000014842273,0.00028580145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989545,0.000016177537,0.0000072938747,0.00002681252,0.000036659694,0.000017580256],"domain_scores_gemma":[0.99989974,0.000024722827,0.000029404815,0.000008575327,0.000021796815,0.000015667289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012984374,0.00030634034,0.00014209679,0.00015075602,0.00009390578,0.00027180844,0.00009961246,0.00016598734,0.00031100638],"category_scores_gemma":[0.00017358238,0.00012901191,0.0001500729,0.00012081334,0.00014102341,0.00020192776,0.00013414523,0.0003553458,0.00011421482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009058968,0.0000036047527,0.0000884164,0.00002061213,0.0000014066101,0.000012382177,0.0000060873754,0.000091629176,0.9990727,0.000012668513,0.0000041917756,0.00067717384],"study_design_scores_gemma":[0.0000016902457,0.00009979243,0.0043818844,0.0000047554668,0.000007928443,0.000075706885,0.000021954316,0.0011191395,0.99376386,0.000015693871,0.0005042144,0.0000034563548],"about_ca_topic_score_codex":0.00023839825,"about_ca_topic_score_gemma":0.0010291091,"teacher_disagreement_score":0.00031100638,"about_ca_system_score_codex":0.00012254188,"about_ca_system_score_gemma":0.00009900279,"threshold_uncertainty_score":0.0010404587},"labels":[],"label_agreement":null},{"id":"W4410960494","doi":"10.3390/en18112908","title":"Long-Term Multi-Resolution Probabilistic Load Forecasting Using Temporal Hierarchies","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Probabilistic logic; Term (time); Probabilistic forecasting; Time horizon; Computer science; Econometrics; Temporal resolution; Variance (accounting); Consistency (knowledge bases); Hierarchy; Reliability (semiconductor); Electricity; Scaling; Mathematical optimization; Economics; Mathematics; Engineering; Artificial intelligence","score_opus":0.032928198040195415,"score_gpt":0.25379108711194737,"score_spread":0.22086288907175194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410960494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1939045,0.0002445158,0.79906994,0.000484163,0.000061147024,0.000047072426,0.00072073407,0.0007210531,0.0047469814],"genre_scores_gemma":[0.9355608,0.00012478525,0.06289341,0.000045583496,0.000033228007,0.000031937452,0.0005815766,0.000040502455,0.0006881669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968076,0.000093357216,0.000019558602,0.00006374178,0.00010201016,0.000040616793],"domain_scores_gemma":[0.99930847,0.00025653015,0.00013757483,0.00007451455,0.00018444992,0.000038505463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008430752,0.00034391208,0.0002953674,0.0004945101,0.0003398343,0.0006940799,0.00080323237,0.00033525997,0.00086553924],"category_scores_gemma":[0.0027925663,0.00029889194,0.00043263478,0.0009126241,0.00024365274,0.0013661953,0.00062489836,0.0006725627,0.00018590305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044126846,0.000024038894,0.0041365665,0.00001739298,0.000032133135,0.0000384599,0.00007210682,0.9475092,0.0011370808,0.0063243397,0.00092211383,0.03974237],"study_design_scores_gemma":[0.0000018260796,0.000002977869,0.0005021403,0.0000014066269,0.0000023509886,0.000002743221,0.0000070375895,0.9974757,0.00008313318,0.0017476722,0.00017007759,0.0000029283983],"about_ca_topic_score_codex":0.037365954,"about_ca_topic_score_gemma":0.045218952,"teacher_disagreement_score":0.037365954,"about_ca_system_score_codex":0.0006822899,"about_ca_system_score_gemma":0.0008923222,"threshold_uncertainty_score":0.07429689},"labels":[],"label_agreement":null},{"id":"W4410961419","doi":"10.3390/en18112891","title":"An Overview of Recent AI Applications in Combined Heat and Power Systems","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Cogeneration; Sustainability; Computer science; Electric power system; Key (lock); Electricity; Performance indicator; Efficient energy use; Electricity generation; Risk analysis (engineering); Systems engineering; Engineering; Power (physics); Business","score_opus":0.011468174539767884,"score_gpt":0.2579681769919104,"score_spread":0.24650000245214249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410961419","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":[0.005670335,0.8059921,0.10967872,0.0026143854,0.0010904623,0.00009282247,0.00017019652,0.0003884681,0.07430257],"genre_scores_gemma":[0.061433565,0.8707342,0.05418349,0.00076490914,0.0019598103,0.00010471263,0.00031883494,0.00008323123,0.010417184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964917,0.00008387693,0.000042301326,0.00006122223,0.00013751612,0.000025956148],"domain_scores_gemma":[0.99925023,0.00048941874,0.00004418442,0.000036746544,0.00015091506,0.000028486176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000672874,0.00085629994,0.0005152863,0.0017765277,0.00037568723,0.0015867256,0.0007569469,0.0009114814,0.0050070575],"category_scores_gemma":[0.0012200245,0.00040595868,0.0006842946,0.0040757298,0.0004736319,0.0017112038,0.0006602977,0.0011618205,0.001549807],"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":[0.00008472531,0.00013930394,0.0012612543,0.008227718,0.00016092582,0.00030474932,0.00020520399,0.03768855,0.0036083332,0.07415769,0.020298107,0.85386336],"study_design_scores_gemma":[0.00001550585,0.00030341023,0.002258263,0.0023885008,0.00013936021,0.00081316516,0.0002819162,0.07012128,0.0035576648,0.053046703,0.866971,0.00010313674],"about_ca_topic_score_codex":0.0017991071,"about_ca_topic_score_gemma":0.001957477,"teacher_disagreement_score":0.0050070575,"about_ca_system_score_codex":0.00077753235,"about_ca_system_score_gemma":0.0006143651,"threshold_uncertainty_score":0.016750276},"labels":[],"label_agreement":null},{"id":"W4410989701","doi":"10.3390/en18112937","title":"Critical Node Identification for Cyber–Physical Power Distribution Systems Based on Complex Network Theory: A Real Case Study","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","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":"Polytechnique Montréal","funders":"","keywords":"Cyber-physical system; Network theory; Identification (biology); Complex network; Node (physics); Computer science; Electric power system; Power network; Power (physics); Engineering; Mathematics; Physics; Statistics","score_opus":0.015232913415988886,"score_gpt":0.3285202872490714,"score_spread":0.3132873738330825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410989701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9161796,0.0003947553,0.07387129,0.00071403483,0.0000384634,0.00035881027,0.00042226503,0.00013473941,0.007886147],"genre_scores_gemma":[0.9840974,0.00018549585,0.014580018,0.000020553316,0.000009437774,0.00005331633,0.0001395316,0.000012067091,0.0009021601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992229,0.00044337468,0.000026509711,0.00008620856,0.00014861918,0.0000722643],"domain_scores_gemma":[0.9958968,0.0031861458,0.00028033537,0.00022788736,0.00026494786,0.00014387966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014307472,0.00058448245,0.00032307004,0.0011797054,0.0007359455,0.0010472419,0.0008725168,0.0011186901,0.0014116028],"category_scores_gemma":[0.0050046532,0.00018210337,0.00040969456,0.0013638684,0.00089197623,0.0010435436,0.0006926869,0.0006649839,0.00013144239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031710576,0.0003586577,0.032745067,0.00025162747,0.000093931674,0.00549196,0.00065622834,0.89838713,0.0022289408,0.018713737,0.0034455496,0.037310068],"study_design_scores_gemma":[0.00006682811,0.0001984407,0.009908571,0.000039949435,0.00005162205,0.001035643,0.0010654256,0.972375,0.0022169172,0.009802602,0.0032087958,0.000030134774],"about_ca_topic_score_codex":0.012318045,"about_ca_topic_score_gemma":0.015214662,"teacher_disagreement_score":0.012318045,"about_ca_system_score_codex":0.0018484964,"about_ca_system_score_gemma":0.0006692781,"threshold_uncertainty_score":0.024492681},"labels":[],"label_agreement":null},{"id":"W4410998187","doi":"10.3390/en18112929","title":"Economic Analysis of Nuclear Energy Cogeneration: A Comprehensive Review on Integrated Utilization","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","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":"National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Cogeneration; Energy (signal processing); Economic analysis; Environmental economics; Economic feasibility; Environmental science; Waste management; Natural resource economics; Business; Engineering; Economics; Electricity generation; Agricultural economics; Power (physics); Physics","score_opus":0.03608760146973668,"score_gpt":0.2958998613961137,"score_spread":0.259812259926377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410998187","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":[0.0006850107,0.9932827,0.0018499048,0.00039429325,0.00014196575,0.000012278362,0.000073665404,0.000007385698,0.0035528687],"genre_scores_gemma":[0.005425096,0.99314195,0.0007495301,0.0001032389,0.00014922948,0.000016851678,0.000065400214,0.000004619756,0.0003442112],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934596,0.00020534403,0.00007984609,0.0000841572,0.00023180991,0.000052916155],"domain_scores_gemma":[0.9983469,0.0012256551,0.00014897753,0.000039547842,0.00021236386,0.000026528234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013128509,0.0014519771,0.0019812249,0.003376842,0.0002753542,0.0018658291,0.00082338176,0.0011717934,0.0032635445],"category_scores_gemma":[0.0025398824,0.0005304099,0.0014046129,0.006306115,0.00057412614,0.0018851802,0.0005709594,0.0010910596,0.0006085145],"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":[0.000111789355,0.00019613733,0.0011124375,0.06225846,0.00074013654,0.00036769809,0.00013503275,0.023928957,0.0011374017,0.07977801,0.026837012,0.803397],"study_design_scores_gemma":[0.00002968155,0.00026713905,0.0047927997,0.038137283,0.00095692184,0.0007110618,0.00032112867,0.008451001,0.001366592,0.05118275,0.89367396,0.00010975803],"about_ca_topic_score_codex":0.0039006525,"about_ca_topic_score_gemma":0.0032173237,"teacher_disagreement_score":0.0039006525,"about_ca_system_score_codex":0.0015098052,"about_ca_system_score_gemma":0.0022296263,"threshold_uncertainty_score":0.01095444},"labels":[],"label_agreement":null},{"id":"W4411027934","doi":"10.3390/en18112960","title":"Leveraging AI for Sustainable Energy Development in Solar Power Plants Operating Under Shading Conditions","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec en Outaouais","funders":"","keywords":"Shading; Sustainable energy; Solar energy; Solar power; Sustainable development; Power (physics); Energy (signal processing); Environmental science; Environmental economics; Renewable energy; Photovoltaic system; Architectural engineering; Computer science; Engineering physics; Automotive engineering; Engineering; Electrical engineering; Mathematics; Economics; Physics; Computer graphics (images); Political science","score_opus":0.012299538311432543,"score_gpt":0.2687157726060315,"score_spread":0.256416234294599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411027934","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16716723,0.0010486373,0.7931937,0.00070290343,0.00006188666,0.0000950178,0.0000855389,0.0009907727,0.036654215],"genre_scores_gemma":[0.9363752,0.00039045108,0.061219636,0.000057027504,0.000010749633,0.000055524113,0.000041761465,0.000038884704,0.0018107495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998447,0.000056143715,0.0000063845296,0.00001940114,0.000058090158,0.000015258382],"domain_scores_gemma":[0.99972695,0.00017946494,0.000037600825,0.000017306864,0.000032025368,0.0000065571403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036507403,0.0004319233,0.00026890682,0.000297525,0.0002442321,0.00072507793,0.00032567637,0.00040607632,0.0012382752],"category_scores_gemma":[0.00091695564,0.00018123708,0.00033640425,0.00040693174,0.0003536142,0.0004986357,0.00042282036,0.00053625053,0.00016707329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029126215,0.00003395361,0.0006095163,0.00009697366,0.000034753957,0.000061047416,0.00004154881,0.95762587,0.005304736,0.003866196,0.00029236212,0.032004017],"study_design_scores_gemma":[0.0000075362727,0.000057152385,0.00031500641,0.0000113964825,0.000010268791,0.000022283204,0.000020504574,0.9936917,0.0019261247,0.002771363,0.0011618976,0.000004833782],"about_ca_topic_score_codex":0.0026775491,"about_ca_topic_score_gemma":0.0039254087,"teacher_disagreement_score":0.0026775491,"about_ca_system_score_codex":0.0003185852,"about_ca_system_score_gemma":0.0005417562,"threshold_uncertainty_score":0.0053239465},"labels":[],"label_agreement":null},{"id":"W4411067113","doi":"10.3390/en18112979","title":"Pyrolysis Process, Reactors, Products, and Applications: A Review","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Research Nova Scotia; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Pyrolysis; Process (computing); Process engineering; Biochemical engineering; Waste management; Environmental science; Computer science; Engineering","score_opus":0.01071303398046209,"score_gpt":0.2622019646370258,"score_spread":0.2514889306565637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411067113","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":[0.00046031972,0.9966223,0.0004384322,0.00009698713,0.00014454513,0.000010905923,0.000062086794,0.000015847894,0.0021485353],"genre_scores_gemma":[0.0016427996,0.9966114,0.0005515835,0.00007164779,0.00008181327,0.00001192366,0.000074492535,0.0000037650937,0.00095060817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965775,0.0000373041,0.00004836518,0.00007926796,0.0001425273,0.000034774726],"domain_scores_gemma":[0.9997116,0.00013683263,0.00005855478,0.000013345421,0.00006531716,0.000014397072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055054313,0.0013497762,0.0013778696,0.00267318,0.0004613595,0.0013762356,0.00086591084,0.0010037835,0.004768329],"category_scores_gemma":[0.00068150583,0.0006295074,0.0009797969,0.0038542468,0.00037745057,0.0017882014,0.0005579293,0.00136257,0.0026107372],"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":[0.000108573055,0.00018009404,0.00029098583,0.090254754,0.00015794544,0.00034812564,0.00009907189,0.0014984432,0.016241895,0.0053803413,0.017337969,0.86810184],"study_design_scores_gemma":[0.000008721977,0.00014594942,0.0005355359,0.0033875282,0.00019830409,0.0009706644,0.000052559382,0.00020305398,0.004483085,0.0014264033,0.9885611,0.000027138616],"about_ca_topic_score_codex":0.0009816521,"about_ca_topic_score_gemma":0.0017796837,"teacher_disagreement_score":0.004768329,"about_ca_system_score_codex":0.0004935622,"about_ca_system_score_gemma":0.0012602222,"threshold_uncertainty_score":0.015951693},"labels":[],"label_agreement":null},{"id":"W4411070469","doi":"10.3390/en18112975","title":"Ensemble of Artificial Neural Networks for Seasonal Forecasting of Wind Speed in Eastern Canada","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Artificial neural network; Meteorology; Wind speed; Climatology; Artificial intelligence; Environmental science; Computer science; Geography; Geology","score_opus":0.016917242063704194,"score_gpt":0.2129449475703652,"score_spread":0.196027705506661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411070469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98050416,0.00042972952,0.015232287,0.00014022079,0.00007193537,0.000029551009,0.00078973203,0.00025944755,0.002542922],"genre_scores_gemma":[0.9936241,0.00014183506,0.004287413,0.000010199667,0.00000909962,0.000010004219,0.0008683945,0.000010235543,0.0010387261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980813,0.000024792951,0.000014280964,0.000040318377,0.000057114376,0.000055398454],"domain_scores_gemma":[0.9995695,0.000073109404,0.00002951792,0.000030945932,0.0002629732,0.00003392208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081152056,0.0006320107,0.0005486301,0.00057740725,0.00066831755,0.0006664597,0.0007981224,0.00027812933,0.0005400991],"category_scores_gemma":[0.0014341624,0.00021088045,0.0004410725,0.0007988285,0.0001351222,0.00035772932,0.0004203792,0.0005532314,0.000115517025],"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":[0.00012245997,0.00007864939,0.02805885,0.000024066265,0.000138714,0.00007314685,0.000045117795,0.9167606,0.0008835468,0.00024455434,0.0012457881,0.052324448],"study_design_scores_gemma":[0.0000025810425,0.000008039805,0.005927036,0.0000024687504,0.0000142698855,0.0000028788006,0.000019263141,0.99343187,0.0003453199,0.000047711397,0.00019355946,0.0000050007575],"about_ca_topic_score_codex":0.72834265,"about_ca_topic_score_gemma":0.7263005,"teacher_disagreement_score":0.27165735,"about_ca_system_score_codex":0.0024327023,"about_ca_system_score_gemma":0.0034340154,"threshold_uncertainty_score":0.5465144},"labels":[],"label_agreement":null},{"id":"W4411217978","doi":"10.3390/en18123074","title":"A Study on Thermal Management Systems for Fuel-Cell Powered Regional Aircraft","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada","keywords":"Fuel cells; Thermal management of electronic devices and systems; Thermal; Aerospace engineering; Automotive engineering; Aeronautics; Environmental science; Engineering; Systems engineering; Nuclear engineering; Meteorology; Mechanical engineering; Chemical engineering; Physics","score_opus":0.01651558942868664,"score_gpt":0.25034577771891786,"score_spread":0.23383018829023122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411217978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.874639,0.0026429442,0.104177184,0.00018543848,0.000059448575,0.00009033388,0.00011050809,0.00025300455,0.017842172],"genre_scores_gemma":[0.99011225,0.00070062437,0.006069731,0.0000133475705,0.000009892375,0.00002004583,0.00005650011,0.000019899868,0.002997767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998956,0.000024982204,0.000003571769,0.000029238394,0.00003083714,0.000015724449],"domain_scores_gemma":[0.99990416,0.000028064282,0.0000115615785,0.000011309382,0.0000367326,0.000008181898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017810107,0.0003399375,0.0003200504,0.00012830918,0.00021009272,0.00058806734,0.00036107816,0.00027638127,0.001590034],"category_scores_gemma":[0.0002809193,0.00013201151,0.00045771975,0.0001809494,0.00017071725,0.000503061,0.00017849702,0.0002922414,0.00027229477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035704015,0.00018423128,0.0054002358,0.00089621096,0.00013409105,0.0005182169,0.00034198372,0.67486477,0.22856809,0.0084697185,0.0008273106,0.07943805],"study_design_scores_gemma":[0.000026999976,0.0018560148,0.008887957,0.00006720643,0.00017353498,0.00023471714,0.0003479321,0.8576101,0.11403931,0.0011821543,0.015537502,0.00003660301],"about_ca_topic_score_codex":0.0026007795,"about_ca_topic_score_gemma":0.0019655956,"teacher_disagreement_score":0.0026007795,"about_ca_system_score_codex":0.0004566621,"about_ca_system_score_gemma":0.000340918,"threshold_uncertainty_score":0.0053192377},"labels":[],"label_agreement":null},{"id":"W4411236958","doi":"10.3390/en18123102","title":"Sustainable Crop Irrigation with Renewable Energy: A Case Study of Lethbridge County, Alberta","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","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":"University of Lethbridge","funders":"Mitacs","keywords":"Renewable energy; Irrigation; Sustainable energy; Environmental science; Water resource management; Crop; Agroforestry; Geography; Engineering; Forestry; Agronomy","score_opus":0.006690065324704613,"score_gpt":0.21434824487011744,"score_spread":0.20765817954541282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411236958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640058,0.00029711847,0.0012916859,0.0005951682,0.00001621903,0.00014187368,0.0002940204,0.000034262026,0.03332387],"genre_scores_gemma":[0.98387897,0.0005326113,0.0020818335,0.00010695018,0.000006853476,0.000031673288,0.00023514629,0.00001534922,0.013110692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995844,0.000091621216,0.000008884496,0.000030238029,0.00014301296,0.0001418524],"domain_scores_gemma":[0.99966896,0.00010046444,0.000019213014,0.00001512643,0.00010346646,0.00009287507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003725164,0.0003516672,0.00019735299,0.0006558176,0.0036327422,0.001520517,0.0013020675,0.00087172276,0.0021593662],"category_scores_gemma":[0.0006001954,0.00017406052,0.00024054149,0.002148708,0.0009925026,0.00041210026,0.0008173395,0.00046047178,0.00016077163],"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":[0.0011447631,0.0032993928,0.2651716,0.00104408,0.00024528828,0.117917255,0.030201772,0.26614398,0.024576971,0.04938169,0.03764357,0.20322967],"study_design_scores_gemma":[0.00032599937,0.0011735362,0.29607537,0.00039964603,0.00024692892,0.0040982454,0.2705903,0.22481431,0.0099163735,0.007988452,0.18407091,0.00029980272],"about_ca_topic_score_codex":0.902315,"about_ca_topic_score_gemma":0.974071,"teacher_disagreement_score":0.09768498,"about_ca_system_score_codex":0.015705006,"about_ca_system_score_gemma":0.011124941,"threshold_uncertainty_score":0.1965205},"labels":[],"label_agreement":null},{"id":"W4411277999","doi":"10.3390/en18123119","title":"Comminution Flowsheet Energy Requirements of a New Narrow-Vein Mining Method","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Comminution; Energy requirement; Vein; Energy (signal processing); Mining engineering; Computer science; Environmental science; Geology; Materials science; Process engineering; Metallurgy; Engineering; Mathematics; Medicine; Statistics; Surgery","score_opus":0.01731249258227467,"score_gpt":0.2785076843910738,"score_spread":0.26119519180879913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411277999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8482199,0.002653937,0.1055234,0.0006188454,0.00022738015,0.00030266307,0.0008239606,0.0007248233,0.040905174],"genre_scores_gemma":[0.9362276,0.0009531854,0.048569858,0.000068465684,0.00003643996,0.00010469722,0.0005912663,0.00010083104,0.013347572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937785,0.000030389261,0.00003042052,0.0001015868,0.00040388695,0.000055841127],"domain_scores_gemma":[0.9996238,0.000113685484,0.000058158577,0.000053991822,0.00012290667,0.000027544313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039895973,0.00025335292,0.00032690231,0.00071843946,0.00046868913,0.0008942612,0.0007376693,0.0005743691,0.0059051965],"category_scores_gemma":[0.0007902563,0.00016153518,0.0002715986,0.00059757795,0.00020624306,0.000982901,0.0004668071,0.00043098355,0.0015063365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009565387,0.0004210043,0.0052200416,0.0009503357,0.000025091002,0.0007375493,0.00018425717,0.01721898,0.76211506,0.009276689,0.0028908474,0.2000036],"study_design_scores_gemma":[0.00009022899,0.0024380086,0.011708626,0.00009004022,0.000061498264,0.0011525435,0.0002461597,0.12155206,0.7841012,0.0032336598,0.075247504,0.00007845812],"about_ca_topic_score_codex":0.0011027372,"about_ca_topic_score_gemma":0.0029164737,"teacher_disagreement_score":0.0059051965,"about_ca_system_score_codex":0.0005734734,"about_ca_system_score_gemma":0.0004814163,"threshold_uncertainty_score":0.019754887},"labels":[],"label_agreement":null},{"id":"W4411485715","doi":"10.3390/en18133247","title":"Exergy-Based Sustainability Assessment of Gold Mining in Colombia: A Comparative Analysis of Open-Pit and Alluvial Mining","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Universidad Nacional de Colombia; Technische Universiteit Delft; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Exergy; Exergy efficiency; Sustainability; Environmental science; Environmental Sustainability Index; Renewable energy; Environmental engineering; Energy analysis; Process engineering; Engineering; Mathematics; Energy (signal processing)","score_opus":0.014533848013179206,"score_gpt":0.34199099307713193,"score_spread":0.32745714506395274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411485715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99043334,0.00085477176,0.001183315,0.00005750354,0.000004212242,0.000044122095,0.00067799917,0.000020584355,0.0067240447],"genre_scores_gemma":[0.9985191,0.00030288464,0.0004431799,0.0000023635178,0.0000010822912,0.0000074744785,0.00026022756,0.000004868674,0.00045890824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981135,0.00002559044,0.000012800999,0.000024076977,0.00008593574,0.00004029233],"domain_scores_gemma":[0.9998186,0.00005029254,0.00003118699,0.000010488318,0.00007133634,0.000017951075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020517097,0.00042717616,0.00032146933,0.0023934895,0.00028154242,0.0010657578,0.00025075153,0.00024916432,0.0009476091],"category_scores_gemma":[0.00048727106,0.00013794897,0.00045337304,0.0017378781,0.00037967655,0.0005687089,0.0005247079,0.00013319806,0.00008133863],"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":[0.0006505123,0.00023071405,0.6710956,0.0019133145,0.00047025149,0.0028925901,0.0015540612,0.13285339,0.029011626,0.008289808,0.001276909,0.14976119],"study_design_scores_gemma":[0.000017242955,0.00009614497,0.9370487,0.000108468186,0.00012217104,0.0002700526,0.005169058,0.045493875,0.0053192694,0.0011115726,0.0051890076,0.00005441477],"about_ca_topic_score_codex":0.093546025,"about_ca_topic_score_gemma":0.16857013,"teacher_disagreement_score":0.093546025,"about_ca_system_score_codex":0.0023656534,"about_ca_system_score_gemma":0.0009033638,"threshold_uncertainty_score":0.18600309},"labels":[],"label_agreement":null},{"id":"W4411489131","doi":"10.3390/en18133245","title":"A Review of Optimization Strategies for Energy Management in Microgrids","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université de Sherbrooke","keywords":"Environmental economics; Renewable energy; Fossil fuel; Electrification; Energy management; Greenhouse gas; Risk analysis (engineering); Climate change; Computer science; Environmental resource management; Electricity; Business; Engineering; Environmental science; Energy (signal processing); Economics; Ecology","score_opus":0.014932278476376978,"score_gpt":0.27653018459380174,"score_spread":0.2615979061174248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411489131","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":[0.0003132043,0.99118453,0.0047631734,0.00032757735,0.00026551614,0.000014259998,0.00005091554,0.00002419098,0.003056563],"genre_scores_gemma":[0.0032903543,0.99196833,0.0033734008,0.00015690223,0.00025795418,0.000020790303,0.00007989089,0.000011449732,0.00084083376],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957687,0.00009640238,0.00007309335,0.00008074386,0.0001460746,0.000026804335],"domain_scores_gemma":[0.9990207,0.0006269093,0.0000961205,0.000037743634,0.00019467215,0.000023872723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080154225,0.0016204563,0.0014629853,0.002000879,0.0003134159,0.0012953639,0.0010820883,0.0011140057,0.005039847],"category_scores_gemma":[0.0017917703,0.0005618864,0.0011687345,0.0045412807,0.00046131114,0.0015272523,0.0006158075,0.001204809,0.0017522599],"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":[0.0000656587,0.00010836931,0.00030255545,0.04234799,0.0002731866,0.00016379719,0.000109346205,0.012202093,0.0013397703,0.0263848,0.025940033,0.8907624],"study_design_scores_gemma":[0.000019451729,0.0001974623,0.0012282568,0.01403282,0.00040862107,0.0006623917,0.00013711351,0.004675818,0.0009857402,0.015602124,0.96198386,0.000066184235],"about_ca_topic_score_codex":0.0023641596,"about_ca_topic_score_gemma":0.0027163154,"teacher_disagreement_score":0.005039847,"about_ca_system_score_codex":0.0006950221,"about_ca_system_score_gemma":0.001478188,"threshold_uncertainty_score":0.016859949},"labels":[],"label_agreement":null},{"id":"W4411492757","doi":"10.3390/en18133238","title":"Unequal Energy Footprints: Trade-Driven Asymmetries in Consumption-Based Carbon Emissions of the U.S. and China","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Economics; Distributed lag; Kuznets curve; Robustness (evolution); Greenhouse gas; Short run; Energy consumption; China; Per capita; Renewable energy; International economics; Econometrics; Macroeconomics; International trade","score_opus":0.013285548495918408,"score_gpt":0.2020893363020539,"score_spread":0.1888037878061355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411492757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960294,0.00024186677,0.00025067697,0.0002601753,0.0000060901343,0.0000044397652,0.00040511202,0.0000068567188,0.0027955596],"genre_scores_gemma":[0.9990928,0.00010443525,0.00005335246,0.000029946805,0.00000415182,0.0000018019924,0.00038222945,0.0000024554374,0.00032879488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979407,0.000026565978,0.000015087865,0.00004298141,0.000050936458,0.00007039442],"domain_scores_gemma":[0.99945,0.00010761254,0.00019941253,0.00006947796,0.0001154611,0.00005798229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068289065,0.00020974585,0.000221229,0.001057004,0.0002914973,0.00077582523,0.00020501277,0.00024217255,0.001345392],"category_scores_gemma":[0.0013100597,0.00009352312,0.00043768456,0.0016774078,0.00046591894,0.0008089399,0.00076993945,0.00036838432,0.000102647144],"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":[0.00009646401,0.00004378357,0.96446365,0.000041543288,0.00016572433,0.000401507,0.00073517853,0.007271871,0.0010639154,0.00524213,0.0009686355,0.019505663],"study_design_scores_gemma":[0.0000040111654,0.000023636137,0.99085546,0.000016454545,0.000043995442,0.000047911064,0.0006144559,0.005093581,0.0005122918,0.0011586432,0.0016159194,0.000013691462],"about_ca_topic_score_codex":0.07217053,"about_ca_topic_score_gemma":0.07500831,"teacher_disagreement_score":0.07217053,"about_ca_system_score_codex":0.0011478754,"about_ca_system_score_gemma":0.0011032741,"threshold_uncertainty_score":0.14350086},"labels":[],"label_agreement":null},{"id":"W4411534960","doi":"10.3390/en18133265","title":"A Review of Phase-Change Material-Based Thermal Batteries for Sustainable Energy Storage of Solar Photovoltaic Systems Coupled to Heat Pumps in the Building Sector","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Thermal energy storage; Phase-change material; Process engineering; Energy storage; Environmental science; Renewable energy; Fossil fuel; Solar energy; Automotive engineering; Engineering; Engineering physics; Power (physics); Phase change; Electrical engineering; Waste management","score_opus":0.05801475919749535,"score_gpt":0.3374913589205506,"score_spread":0.2794765997230553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411534960","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":[0.00033458276,0.9963068,0.00031864663,0.00021130667,0.00020954752,0.00001156635,0.00007689593,0.000014118778,0.002516623],"genre_scores_gemma":[0.001223677,0.99731666,0.00034564146,0.000096187156,0.00007711384,0.000009307947,0.0000578593,0.0000026364391,0.00087095855],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997528,0.00003484795,0.000044913162,0.00005288058,0.000093656614,0.000020895925],"domain_scores_gemma":[0.9996263,0.00019453822,0.00006460888,0.000013010846,0.00008521787,0.000016368105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042241768,0.0009431676,0.0011104716,0.0027530089,0.00032984282,0.0009399098,0.0006828484,0.0009113659,0.006907769],"category_scores_gemma":[0.0007198166,0.00040888105,0.0009503568,0.0035216494,0.00026980205,0.0014934986,0.0005059707,0.00093147525,0.0022752578],"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":[0.00006395478,0.0001014674,0.00023628105,0.115255386,0.0001893301,0.00024750992,0.0001282865,0.0011737434,0.0060166,0.01015646,0.03054414,0.8358869],"study_design_scores_gemma":[0.0000056326776,0.00009460153,0.00067335326,0.008622778,0.00019543059,0.00049782405,0.000060830425,0.00013940592,0.0011321496,0.0016424123,0.98691607,0.000019549389],"about_ca_topic_score_codex":0.0012624712,"about_ca_topic_score_gemma":0.0022624624,"teacher_disagreement_score":0.006907769,"about_ca_system_score_codex":0.00043193487,"about_ca_system_score_gemma":0.0012626391,"threshold_uncertainty_score":0.02310878},"labels":[],"label_agreement":null},{"id":"W4411534979","doi":"10.3390/en18133253","title":"A Parametric Study of a Fully Passive Oscillating Foil Turbine on a Swinging Arm in a Tandem Configuration","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbine; Mechanics; Control theory (sociology); Stall (fluid mechanics); Flutter; Reynolds number; Physics; Tandem; Engineering; Mechanical engineering; Computer science; Aerospace engineering; Aerodynamics; Turbulence","score_opus":0.006746963997502469,"score_gpt":0.2187942909901163,"score_spread":0.21204732699261383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411534979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986289,0.000058365506,0.010038501,0.000045325498,0.000019679701,0.000037045065,0.000078456564,0.00007075007,0.0033629178],"genre_scores_gemma":[0.99722654,0.000025774689,0.002063606,0.0000054688194,0.0000016597716,0.00001476204,0.00003206259,0.0000054075185,0.00062475604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998648,0.000018099952,0.000008000462,0.00003154175,0.00004611972,0.000031383443],"domain_scores_gemma":[0.9998227,0.00005174683,0.000038678972,0.000035279692,0.000023170573,0.000028479913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024316006,0.00042029985,0.000558728,0.0002761779,0.00041361307,0.00044546614,0.0006261754,0.0006665505,0.0015756493],"category_scores_gemma":[0.00041791893,0.00022294461,0.00038365807,0.00025246508,0.0005772669,0.0005654659,0.0004992706,0.00027439685,0.00029138007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013737855,0.00040729137,0.01126177,0.0005282301,0.000088509776,0.0048480146,0.00038767862,0.5831625,0.3630522,0.0042593055,0.0008186914,0.02981202],"study_design_scores_gemma":[0.000207035,0.00468225,0.015387795,0.00006452222,0.00008635427,0.0012377844,0.00041366427,0.90148616,0.07180992,0.0013437631,0.0031832452,0.000097583994],"about_ca_topic_score_codex":0.00057312724,"about_ca_topic_score_gemma":0.00057830993,"teacher_disagreement_score":0.0015756493,"about_ca_system_score_codex":0.00017571241,"about_ca_system_score_gemma":0.0003229792,"threshold_uncertainty_score":0.005271077},"labels":[],"label_agreement":null},{"id":"W4411536037","doi":"10.3390/en18133272","title":"Case Study of a Greenfield Blue Hydrogen Plant: A Comparative Analysis of Production Methods","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Petroleum Technology Research Centre; Canada Foundation for Innovation; University of Regina","keywords":"Greenhouse gas; Carbon footprint; Environmental science; Hydrogen production; Sustainability; Global warming; Natural gas; Production (economics); Waste management; Environmental engineering; Refrigeration; Environmental economics; Engineering; Climate change; Hydrogen; Chemistry; Economics","score_opus":0.03179133191870361,"score_gpt":0.31986993215201753,"score_spread":0.28807860023331394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411536037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663617,0.0004421712,0.009086273,0.00031846363,0.000019381827,0.0005072773,0.0008698465,0.0000759021,0.022319011],"genre_scores_gemma":[0.97596323,0.00051892037,0.014550138,0.000037772985,0.0000045351426,0.0001429967,0.00049992924,0.00004430342,0.008238248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986981,0.00042873682,0.00003991701,0.00013672966,0.00045709268,0.00023943493],"domain_scores_gemma":[0.99784887,0.0013032701,0.00009536842,0.00012664759,0.00047683713,0.00014900067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017283264,0.0006420739,0.0004046888,0.0014998534,0.0020286823,0.0015746707,0.0012325288,0.0013050839,0.0058320817],"category_scores_gemma":[0.0020066698,0.0003205616,0.00072982843,0.0015920254,0.000690658,0.0010142182,0.00075130025,0.0006419738,0.0005245428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004656209,0.005650527,0.13662492,0.0034073347,0.00038819414,0.023130413,0.005992656,0.42948553,0.081553474,0.02236702,0.010649166,0.27609456],"study_design_scores_gemma":[0.0008155941,0.007689163,0.18049535,0.0006095087,0.00045287065,0.004581085,0.062355578,0.5341325,0.1081029,0.0058712866,0.09445157,0.00044258224],"about_ca_topic_score_codex":0.10434884,"about_ca_topic_score_gemma":0.19778647,"teacher_disagreement_score":0.10434884,"about_ca_system_score_codex":0.0057532215,"about_ca_system_score_gemma":0.0025906023,"threshold_uncertainty_score":0.20748293},"labels":[],"label_agreement":null},{"id":"W4411604501","doi":"10.3390/en18133318","title":"Prioritization of the Critical Factors of Hydrogen Transportation in Canada Using the Intuitionistic Fuzzy AHP Method","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","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":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Analytic hierarchy process; Prioritization; Fuzzy logic; Operations research; Computer science; Engineering; Management science; Artificial intelligence","score_opus":0.012878229551449917,"score_gpt":0.2673163680277327,"score_spread":0.25443813847628277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411604501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6963662,0.005847045,0.22567166,0.0021541168,0.000118973134,0.0030829087,0.004587293,0.00023266167,0.0619392],"genre_scores_gemma":[0.8356046,0.0021911513,0.15696156,0.00007700056,0.000010787296,0.0003580483,0.0011218077,0.000016079952,0.0036589394],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981792,0.00040316774,0.00013414914,0.00012496875,0.00090308994,0.0002555175],"domain_scores_gemma":[0.997635,0.00066488155,0.00013472598,0.00002742248,0.0014374115,0.00010055917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027946357,0.00063417625,0.00045671428,0.007711364,0.0026492493,0.0023276927,0.0007516877,0.00032773393,0.0019054726],"category_scores_gemma":[0.0049237018,0.0003134891,0.0010706052,0.0067215185,0.00070820225,0.0006039565,0.0007963725,0.0004300554,0.00007716524],"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":[0.0007688416,0.00032009187,0.08949554,0.0063692266,0.0006967061,0.0028647187,0.010745364,0.2620513,0.015713153,0.06916015,0.012871579,0.5289433],"study_design_scores_gemma":[0.00021274058,0.00033247992,0.119295605,0.0018683806,0.0013162892,0.00044568573,0.03577453,0.7321165,0.017213723,0.030950494,0.060046308,0.00042722057],"about_ca_topic_score_codex":0.8292157,"about_ca_topic_score_gemma":0.8969141,"teacher_disagreement_score":0.1707843,"about_ca_system_score_codex":0.023810389,"about_ca_system_score_gemma":0.049120244,"threshold_uncertainty_score":0.34358013},"labels":[],"label_agreement":null},{"id":"W4411605720","doi":"10.3390/en18133320","title":"Occupant-Centric Load Optimization in Smart Green Townhouses Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Herzberg Institute of Astrophysics; University of Victoria","funders":"","keywords":"Particle swarm optimization; Computer science; HVAC; Energy consumption; Thermal comfort; Demand response; Building automation; Energy management; Efficient energy use; Automotive engineering; Real-time computing; Simulation; Energy (signal processing); Electricity; Engineering; Machine learning; Air conditioning","score_opus":0.008771268330911379,"score_gpt":0.21118534539424574,"score_spread":0.20241407706333436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411605720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10793767,0.00027420654,0.884994,0.00016604365,0.000039563107,0.000049869996,0.00010884073,0.000707749,0.005722118],"genre_scores_gemma":[0.9490081,0.000087229826,0.04752857,0.000049798276,0.000021033416,0.00005057438,0.00012504573,0.00008475756,0.0030449629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982494,0.000038472197,0.0000050016365,0.000047228288,0.000043768883,0.000040669787],"domain_scores_gemma":[0.99990726,0.00003480617,0.00001412156,0.000009287883,0.000019068497,0.00001549328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034592365,0.0007629501,0.00086888537,0.00029818353,0.00036009846,0.00083395786,0.00084762106,0.0006390702,0.0016344712],"category_scores_gemma":[0.00039797477,0.00042750547,0.0005939467,0.00032609145,0.00044577132,0.0007784275,0.00076866127,0.0005125783,0.00022943056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002106528,0.000031807594,0.0005304705,0.000012860061,0.000016040085,0.000034967274,0.000015745585,0.9874198,0.001178412,0.0011211178,0.00023414062,0.0093835415],"study_design_scores_gemma":[0.0000013185851,0.0000054669836,0.000083669824,6.1220453e-7,0.0000014719463,0.0000019583074,0.000004824578,0.9992399,0.00013258672,0.00043914898,0.000087796594,0.000001259898],"about_ca_topic_score_codex":0.01039671,"about_ca_topic_score_gemma":0.01723545,"teacher_disagreement_score":0.01039671,"about_ca_system_score_codex":0.0007709747,"about_ca_system_score_gemma":0.0007676855,"threshold_uncertainty_score":0.02067238},"labels":[],"label_agreement":null},{"id":"W4411690759","doi":"10.3390/en18133362","title":"Experimental Evaluation of Residual Oil Saturation in Solvent-Assisted SAGD Using Single-Component Solvents","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Solvent; Residual; Component (thermodynamics); Saturation (graph theory); Chlorinated solvents; Petroleum engineering; Chromatography; Residual oil; Materials science; Organic solvent; Chemistry; Process engineering; Chemical engineering; Organic chemistry; Engineering; Computer science; Thermodynamics; Mathematics; Algorithm; Physics; Geotechnical engineering","score_opus":0.03947265372692632,"score_gpt":0.3015675894267858,"score_spread":0.2620949356998595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411690759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973556,0.00023086512,0.0013717653,0.000014275444,0.000007816794,0.000026329279,0.00023689186,0.00004866714,0.0007077683],"genre_scores_gemma":[0.99457574,0.000655066,0.0030717042,0.000018334113,0.0000037498855,0.000041307103,0.00020873647,0.000024916442,0.0014004564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969876,0.000025644626,0.000024362043,0.00004874884,0.00014416708,0.00005840395],"domain_scores_gemma":[0.9996618,0.000090527734,0.000078256584,0.000031767468,0.000107153064,0.00003053512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003279946,0.0003255823,0.00024014206,0.00024003495,0.00027069898,0.00026664053,0.0003261897,0.0003343455,0.0012030493],"category_scores_gemma":[0.00037395334,0.00015160958,0.00019889769,0.00047087285,0.00043861635,0.00027162526,0.00031362212,0.00044234388,0.0002761437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001389043,0.000040961982,0.00023606482,0.0000699544,0.0000037845562,0.000040355244,0.000051239454,0.0004172042,0.9976768,0.000035951343,0.000016620237,0.0012721536],"study_design_scores_gemma":[0.0000034983982,0.0002898206,0.0007495351,0.0000029512332,0.0000049219148,0.000013199178,0.000033941433,0.0006774427,0.99788743,0.0000059539675,0.00032650138,0.000004829673],"about_ca_topic_score_codex":0.0032975415,"about_ca_topic_score_gemma":0.006240851,"teacher_disagreement_score":0.0032975415,"about_ca_system_score_codex":0.0003816956,"about_ca_system_score_gemma":0.000283575,"threshold_uncertainty_score":0.0065566897},"labels":[],"label_agreement":null},{"id":"W4411690782","doi":"10.3390/en18133370","title":"A Method for Predicting the Remaining Life of Lithium-Ion Batteries Based on an Improved Dempster–Shafer Evidence Theory Framework","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dempster–Shafer theory; Lithium (medication); Ion; Computer science; Artificial intelligence; Chemistry; Psychology; Psychiatry","score_opus":0.025951391297390745,"score_gpt":0.3349474783590173,"score_spread":0.3089960870616265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411690782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00826339,0.00045346082,0.9901696,0.00010391404,0.00003793255,0.000024379406,0.000047501413,0.00016871176,0.00073112623],"genre_scores_gemma":[0.7510296,0.0015305673,0.24395241,0.00013781714,0.00015003215,0.00015049487,0.0003336655,0.000041206273,0.002674198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956554,0.000060102946,0.000042787975,0.00009859275,0.00020095665,0.000032031556],"domain_scores_gemma":[0.9989956,0.0004769346,0.00012551439,0.000051100047,0.00032254853,0.000028354092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008516285,0.0008166513,0.00091849244,0.0017835618,0.00031926905,0.0008095993,0.0011753422,0.0009944902,0.00096646283],"category_scores_gemma":[0.0036261345,0.00033204159,0.0008159886,0.0009129442,0.0004774832,0.0017024518,0.0006923533,0.0010435744,0.0002314056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011959426,0.00006784311,0.0043613776,0.00022662754,0.00012994952,0.0002870558,0.00008809896,0.6844869,0.006306558,0.014342822,0.001610538,0.28797266],"study_design_scores_gemma":[0.0000039711895,0.000015188438,0.00033339477,0.000008810603,0.0000117713635,0.000037161262,0.000004406728,0.9965559,0.0008526838,0.0018712527,0.00029663037,0.000008885839],"about_ca_topic_score_codex":0.0061248476,"about_ca_topic_score_gemma":0.0046482948,"teacher_disagreement_score":0.0061248476,"about_ca_system_score_codex":0.00069978216,"about_ca_system_score_gemma":0.00096670317,"threshold_uncertainty_score":0.012178421},"labels":[],"label_agreement":null},{"id":"W4411847054","doi":"10.3390/en18133471","title":"Thermal Effects on Fines Migration: Insights from Sand Pack Experiments","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Petroleum engineering; Oil sands; Permeability (electromagnetism); Wellbore; Enhanced oil recovery; Environmental science; Porous medium; Geotechnical engineering; Salinity; Porosity; Asphalt; Geology; Materials science; Chemistry; Composite material","score_opus":0.004664281519945225,"score_gpt":0.22233842351877367,"score_spread":0.21767414199882845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411847054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978011,0.000061870785,0.0014076147,0.000012411114,0.0000039133874,0.00001473016,0.00012511648,0.0000233586,0.00054977037],"genre_scores_gemma":[0.998212,0.000094802796,0.0011364768,0.000008091521,0.0000013340235,0.0000074273494,0.0000842348,0.000008632457,0.00044702692],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998988,0.000010753993,0.000007990531,0.00002088439,0.000038133378,0.000023460425],"domain_scores_gemma":[0.99984634,0.000050226634,0.000026457281,0.000020266667,0.000040394818,0.00001630359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002124368,0.00018466638,0.00025042397,0.00017599946,0.00027934328,0.00022127837,0.00019650257,0.00024318209,0.0011528692],"category_scores_gemma":[0.00039861075,0.0001219796,0.00017215182,0.00019915844,0.00023693913,0.00028061066,0.00026712654,0.00026598797,0.00018483303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002941666,0.000092194314,0.006035403,0.00009293725,0.000009449722,0.00014559274,0.00019651526,0.0018005038,0.9859007,0.00011043015,0.00007209495,0.005250109],"study_design_scores_gemma":[0.00001736006,0.000900787,0.034000248,0.00001107013,0.000024139987,0.00012534302,0.00032280936,0.0126692755,0.9507936,0.00009885245,0.0010149904,0.000021519994],"about_ca_topic_score_codex":0.0026232842,"about_ca_topic_score_gemma":0.0061179195,"teacher_disagreement_score":0.0026232842,"about_ca_system_score_codex":0.0001745708,"about_ca_system_score_gemma":0.00012650293,"threshold_uncertainty_score":0.0052160025},"labels":[],"label_agreement":null},{"id":"W4411890892","doi":"10.3390/en18133467","title":"Assessment of Climate Change Impacts on Renewable Energy Resources in Western North America","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"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":"Lawrence Livermore National Laboratory","keywords":"Renewable energy; Climate change; Natural resource economics; Environmental science; Environmental planning; Environmental resource management; Environmental protection; Economics; Engineering; Geology","score_opus":0.016852643823424107,"score_gpt":0.2673798468272251,"score_spread":0.250527203003801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411890892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977662,0.00022891781,0.000639893,0.0003839277,0.00001818097,0.000021183343,0.018431058,0.00017125183,0.002443473],"genre_scores_gemma":[0.9741193,0.00023542892,0.0015649922,0.00008266942,0.000014137217,0.00005715813,0.023241421,0.000030383972,0.00065448676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998598,0.000037004444,0.000011516718,0.000041641808,0.000026812,0.000023136568],"domain_scores_gemma":[0.99965155,0.00006561853,0.00007563645,0.000049527975,0.0001136983,0.00004389425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386452,0.0002769996,0.0002417149,0.0006152258,0.00033206947,0.0005991354,0.00043526344,0.00032650892,0.0009406184],"category_scores_gemma":[0.0010809839,0.0001715992,0.00033231615,0.0013741101,0.00019827038,0.0004598667,0.00035320382,0.0002477043,0.00014519456],"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":[0.00012660462,0.000183699,0.6495214,0.00013004562,0.000371353,0.00028971006,0.00032292368,0.31283247,0.0017946288,0.0015452832,0.016799046,0.016082829],"study_design_scores_gemma":[0.00006044179,0.000041721407,0.66002446,0.00004648211,0.00006613727,0.00009294122,0.0007419565,0.3185248,0.0010198726,0.0008899976,0.01844621,0.000044905053],"about_ca_topic_score_codex":0.34726602,"about_ca_topic_score_gemma":0.42238846,"teacher_disagreement_score":0.34726602,"about_ca_system_score_codex":0.0014253441,"about_ca_system_score_gemma":0.0011824871,"threshold_uncertainty_score":0.6904894},"labels":[],"label_agreement":null},{"id":"W4411890895","doi":"10.3390/en18133464","title":"Analysis of Mechanical Durability, Hydrophobicity, Pyrolysis and Combustion Properties of Solid Biofuel Pellets Made from Mildly Torrefied Biomass","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pellets; Pyrolysis; Torrefaction; Biomass (ecology); Biofuel; Combustion; Durability; Waste management; Materials science; Solid fuel; Bioenergy; Pulp and paper industry; Biomass fuels; Chemical engineering; Composite material; Chemistry; Engineering; Organic chemistry","score_opus":0.008956243141781457,"score_gpt":0.20970837907148546,"score_spread":0.200752135929704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411890895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833506,0.00042133607,0.0007493433,0.0000061298356,0.000005491025,0.000009098645,0.00022665349,0.000009594041,0.00023726364],"genre_scores_gemma":[0.9969896,0.0007141942,0.0010886439,0.000010742212,0.00000429431,0.000024864266,0.0005501847,0.000013857776,0.0006036799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980944,0.000016860553,0.00002092427,0.000029109651,0.00009228224,0.00003143346],"domain_scores_gemma":[0.99985635,0.000029911158,0.000041256066,0.000009541417,0.00004719762,0.000015775546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022861215,0.00046166568,0.00039199225,0.0006832972,0.00020530209,0.00026280023,0.000162753,0.00025292742,0.0006186347],"category_scores_gemma":[0.00026639504,0.00015744782,0.00041167223,0.00060314115,0.00018642528,0.0003151321,0.00017097611,0.00041573288,0.00017934012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008032035,0.0000132138175,0.0009538701,0.000063648156,0.000009460563,0.00008217211,0.000020848032,0.0001158165,0.9970554,0.000013974008,0.000009392993,0.0015817435],"study_design_scores_gemma":[0.0000048636957,0.0003434727,0.03967257,0.0000144884725,0.00004747548,0.00016441838,0.00010994392,0.00072100747,0.95833737,0.000015268197,0.0005564749,0.000012557169],"about_ca_topic_score_codex":0.000725716,"about_ca_topic_score_gemma":0.0013903287,"teacher_disagreement_score":0.000725716,"about_ca_system_score_codex":0.00011075176,"about_ca_system_score_gemma":0.00010136628,"threshold_uncertainty_score":0.0020695329},"labels":[],"label_agreement":null},{"id":"W4411896598","doi":"10.3390/en18133459","title":"Experimental Study on Heat Transfer Performance of FKS-TPMS Heat Sink Designs and Time Series Prediction","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Heat sink; Heat transfer; Series (stratigraphy); Computer science; Materials science; Nuclear engineering; Thermodynamics; Mechanical engineering; Engineering; Physics; Geology","score_opus":0.009610925858102767,"score_gpt":0.2126012790493269,"score_spread":0.20299035319122413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411896598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881639,0.000110494024,0.010442157,0.00004036035,0.000028805565,0.000024692692,0.00018561477,0.00019218944,0.00081174046],"genre_scores_gemma":[0.9923515,0.00008040506,0.0068426835,0.0000058952323,0.0000052885207,0.00003814674,0.000105244086,0.000019985258,0.00055078574],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997477,0.000033163906,0.00001857118,0.00007363364,0.00009047881,0.000036497033],"domain_scores_gemma":[0.99954385,0.000156576,0.0000755586,0.00005710091,0.00014577071,0.000021121861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005292938,0.00047007637,0.0002808507,0.00038090444,0.00022036563,0.0002309912,0.000413647,0.00032021248,0.0012293778],"category_scores_gemma":[0.0011130723,0.00017452237,0.00029301085,0.0003851694,0.00038243883,0.0005059128,0.00023901185,0.00031865994,0.00017480666],"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":[0.00076328195,0.00020687528,0.0039944747,0.00027467095,0.000016222619,0.00010255778,0.00017687051,0.031197287,0.9424553,0.0007801682,0.0004689401,0.019563386],"study_design_scores_gemma":[0.000023106064,0.0009792937,0.0042730286,0.000009328894,0.000018958845,0.000045005123,0.000056785244,0.10017227,0.89322114,0.00012351325,0.001057606,0.000019954645],"about_ca_topic_score_codex":0.0005655821,"about_ca_topic_score_gemma":0.00056800555,"teacher_disagreement_score":0.0012293778,"about_ca_system_score_codex":0.00026720524,"about_ca_system_score_gemma":0.00018723976,"threshold_uncertainty_score":0.004112661},"labels":[],"label_agreement":null},{"id":"W4412040219","doi":"10.3390/en18133535","title":"Multiclass Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Grid Search-Optimized Machine Learning","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rio Tinto (Canada); Hydro-Québec; Université du Québec à Chicoutimi","funders":"","keywords":"Dissolved gas analysis; Power grid; Transformer; Grid; Computer science; Machine learning; Reliability engineering; Artificial intelligence; Engineering; Power (physics); Electrical engineering; Mathematics; Physics","score_opus":0.007994084738928564,"score_gpt":0.234091188090269,"score_spread":0.22609710335134042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412040219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4170204,0.0007663972,0.57892406,0.00022803704,0.000038491566,0.00005880805,0.0001151095,0.001286497,0.0015622325],"genre_scores_gemma":[0.9565321,0.00008398357,0.04280504,0.000028591689,0.000006746316,0.000031516614,0.000089959896,0.000016305323,0.00040576438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997861,0.00006595526,0.000014330008,0.00005885773,0.000043244207,0.00003155021],"domain_scores_gemma":[0.99963176,0.00019166796,0.00006009478,0.000025995108,0.00007608967,0.000014320665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078869076,0.00057346164,0.0007629429,0.00072717393,0.00020315715,0.0006100821,0.00053948606,0.00047211512,0.00033803808],"category_scores_gemma":[0.0013321108,0.00023317877,0.00050981017,0.00043138617,0.00022605299,0.0005236736,0.00040977247,0.00046191574,0.000108456275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013366736,0.00007197183,0.0053271838,0.000046655852,0.00004638598,0.00006071685,0.00004624768,0.89889514,0.0036077166,0.00073944015,0.00041424675,0.090610676],"study_design_scores_gemma":[0.0000016779021,0.000011447925,0.00025550404,0.0000013467569,0.0000023190453,0.0000046217247,0.0000034648674,0.9990809,0.00044703714,0.00016151193,0.000028923434,0.000001316669],"about_ca_topic_score_codex":0.007193515,"about_ca_topic_score_gemma":0.005718769,"teacher_disagreement_score":0.007193515,"about_ca_system_score_codex":0.000593036,"about_ca_system_score_gemma":0.0006176258,"threshold_uncertainty_score":0.014303267},"labels":[],"label_agreement":null},{"id":"W4412093808","doi":"10.3390/en18133556","title":"Analysis of Infrastructure Requirements for Sustainable Transportation Technologies","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Sustainable transport; Business; Environmental planning; Transport engineering; Construction engineering; Risk analysis (engineering); Engineering; Sustainability; Environmental science","score_opus":0.004909524409780625,"score_gpt":0.2353589022213122,"score_spread":0.23044937781153157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412093808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56348103,0.0011382151,0.07849409,0.0014451417,0.00008149356,0.00040403573,0.007643852,0.00049571524,0.3468165],"genre_scores_gemma":[0.98505867,0.00060735137,0.0050449017,0.000038440667,0.000020415937,0.00013966471,0.0025423898,0.00010647467,0.0064416076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987143,0.00018654148,0.000044006432,0.00010069503,0.0004685794,0.00048575897],"domain_scores_gemma":[0.9980844,0.00080779893,0.00019867776,0.00008355418,0.0007132558,0.00011230113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052907236,0.00079574285,0.00047779328,0.0020201027,0.00071023026,0.0017080561,0.0009123916,0.00085223565,0.013464273],"category_scores_gemma":[0.0033883858,0.00043121903,0.0009455244,0.002176665,0.00039007695,0.0027461303,0.0008574471,0.000599453,0.0015472008],"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":[0.00016242363,0.00009053032,0.012372937,0.00051449455,0.00008869476,0.0009299161,0.00017752024,0.8377871,0.012892742,0.10127088,0.0056201634,0.028092675],"study_design_scores_gemma":[0.0000396754,0.00033088084,0.04427139,0.00024135812,0.00023341866,0.0011458041,0.0029828136,0.81664556,0.020305224,0.048460167,0.06521712,0.0001264868],"about_ca_topic_score_codex":0.0134636955,"about_ca_topic_score_gemma":0.013714624,"teacher_disagreement_score":0.013464273,"about_ca_system_score_codex":0.0035660858,"about_ca_system_score_gemma":0.0015841201,"threshold_uncertainty_score":0.045042455},"labels":[],"label_agreement":null},{"id":"W4412189631","doi":"10.3390/en18143629","title":"Energy Efficiency in Buildings Through the Application of Phase Change Materials: An In-Depth Analysis of the Integration of Spent Coffee Grounds (SCGs)","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Phase Change Materials Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Coffee grounds; Phase change; Efficient energy use; Energy (signal processing); Phase (matter); Environmental science; Computer science; Environmental economics; Engineering; Engineering physics; Chemistry; Agricultural engineering; Electrical engineering; Economics; Physics","score_opus":0.046871403775466856,"score_gpt":0.3407636629718064,"score_spread":0.29389225919633954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412189631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6524212,0.31088996,0.014702572,0.00038122514,0.0001310637,0.000066996734,0.00041340987,0.000077958975,0.020915627],"genre_scores_gemma":[0.88046527,0.11070639,0.0047159917,0.00008717847,0.00003750919,0.000024792866,0.00022281683,0.000025622752,0.0037145496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984276,0.00002345533,0.000007416461,0.000020063517,0.000079424826,0.00002690357],"domain_scores_gemma":[0.9999635,0.000009174275,0.000009247791,0.0000021501996,0.000012996283,0.0000028027816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019225462,0.00037992673,0.0002643525,0.0006514979,0.00013610836,0.0006331037,0.00015732806,0.00026554352,0.00061459787],"category_scores_gemma":[0.00013624222,0.00014888872,0.00038433255,0.0007720705,0.00013399195,0.000470272,0.00022610169,0.00025158585,0.00016665325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025934764,0.00018104899,0.0083071105,0.008793525,0.00018095854,0.00048252294,0.00033664692,0.009817761,0.54096454,0.008271943,0.0014560223,0.42094857],"study_design_scores_gemma":[0.000015475996,0.0017335692,0.0551055,0.0011672602,0.00061087165,0.0011429299,0.0008565636,0.0098239565,0.72652835,0.002933864,0.19998729,0.00009440221],"about_ca_topic_score_codex":0.0008803659,"about_ca_topic_score_gemma":0.002362716,"teacher_disagreement_score":0.0008803659,"about_ca_system_score_codex":0.00028728708,"about_ca_system_score_gemma":0.00020808933,"threshold_uncertainty_score":0.0020844936},"labels":[],"label_agreement":null},{"id":"W4412369208","doi":"10.3390/en18143599","title":"Optimizing Solvent-Assisted SAGD in Deep Extra-Heavy Oil Reservoirs: Mechanistic Insights and a Case Study in Liaohe","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Steam injection; Oil field; Structural basin; Solvent; Environmental science; Oil sands; Geology; Chemistry; Materials science; Asphalt","score_opus":0.01416543412444077,"score_gpt":0.25632601426013707,"score_spread":0.2421605801356963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412369208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448293,0.00019568758,0.0043173176,0.000061026298,0.000005443039,0.000020087367,0.000042306205,0.000023263918,0.000851865],"genre_scores_gemma":[0.99751663,0.00013322936,0.0019617628,0.000007895238,9.2684377e-7,0.00000844283,0.000020052357,0.000002925797,0.00034821144],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999137,0.00001643835,0.0000051241304,0.000012902756,0.000024805833,0.00002702859],"domain_scores_gemma":[0.99992645,0.00002679538,0.000011383595,0.0000059271665,0.000016508122,0.000013102637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028284165,0.00023405257,0.00033920267,0.00022478728,0.00031490295,0.00042057564,0.00025056466,0.00035137596,0.0004604757],"category_scores_gemma":[0.00025595495,0.00011488308,0.00025569517,0.00025424873,0.00042360462,0.0005008877,0.00047951547,0.00029061906,0.000076368335],"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":[0.00083328446,0.00042118298,0.020497736,0.00081856264,0.000054773063,0.0029980137,0.00031364695,0.2680074,0.6522428,0.0033168234,0.000446553,0.05004926],"study_design_scores_gemma":[0.00013706593,0.0018538007,0.010441524,0.000044415567,0.00007951255,0.0003243419,0.0010958338,0.46479005,0.51387775,0.0016870905,0.005598691,0.000069936024],"about_ca_topic_score_codex":0.0030093202,"about_ca_topic_score_gemma":0.00708216,"teacher_disagreement_score":0.0030093202,"about_ca_system_score_codex":0.00044006878,"about_ca_system_score_gemma":0.0004985701,"threshold_uncertainty_score":0.005983591},"labels":[],"label_agreement":null},{"id":"W4412513825","doi":"10.3390/en18143846","title":"Biofuels Production Using Structured Catalyst in Fischer–Tropsch Synthesis","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Commission; Université de Sherbrooke","keywords":"Fischer–Tropsch process; Catalysis; Production (economics); Biofuel; Business; Chemistry; Waste management; Engineering; Economics; Organic chemistry","score_opus":0.012290419342838928,"score_gpt":0.2558859005198894,"score_spread":0.2435954811770505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412513825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988468,0.00087329996,0.0076634013,0.00006623948,0.000023994537,0.000036637997,0.00016097874,0.000106394575,0.0026011022],"genre_scores_gemma":[0.99357104,0.00035769114,0.0049412316,0.00001442766,0.0000058698974,0.000012624658,0.00014646193,0.000009812291,0.0009407577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998771,0.00000997033,0.0000068735503,0.00003150065,0.000049207567,0.000025320853],"domain_scores_gemma":[0.99996364,0.000006377986,0.000008337826,0.000004530444,0.000010816571,0.000006314119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014224714,0.00035723977,0.00025060214,0.0003459484,0.00016006448,0.00020519091,0.0002761484,0.00045344193,0.00070625514],"category_scores_gemma":[0.00013601701,0.00011204941,0.00021228372,0.0001867747,0.00017708066,0.00027996264,0.00020182478,0.00035924264,0.0003751279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043623128,0.000027761726,0.00015092414,0.000056657413,0.0000043681553,0.00009349205,0.000010874189,0.0005735161,0.99578756,0.00019216134,0.000046441135,0.0030126765],"study_design_scores_gemma":[0.0000065520258,0.00012596996,0.00057326583,0.000004326096,0.0000057153125,0.000059078844,0.0000118097305,0.003153803,0.99524444,0.000041369025,0.0007689687,0.000004735654],"about_ca_topic_score_codex":0.0008278393,"about_ca_topic_score_gemma":0.0026787415,"teacher_disagreement_score":0.0008278393,"about_ca_system_score_codex":0.00030422004,"about_ca_system_score_gemma":0.00014837837,"threshold_uncertainty_score":0.0023626685},"labels":[],"label_agreement":null},{"id":"W4412570262","doi":"10.3390/en18153902","title":"Turning Construction, Renovation, and Demolition (CRD) Wood Waste into Biochar: A Scalable and Sustainable Solution for Energy and Environmental Applications","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Biochar; Demolition; Demolition waste; Construction waste; Waste management; Environmental science; Waste recycling; Sustainable energy; Environmental engineering; Engineering; Civil engineering; Renewable energy; Pyrolysis","score_opus":0.0030395792306299784,"score_gpt":0.2007549178360845,"score_spread":0.19771533860545454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412570262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97408867,0.00768665,0.015442681,0.0000992456,0.000058864644,0.000043007312,0.00016371325,0.00011589516,0.0023012506],"genre_scores_gemma":[0.9847148,0.0038018986,0.009838515,0.00006677008,0.000011166406,0.000020032,0.00017444108,0.000023764733,0.0013485837],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998124,0.00002238666,0.000014338231,0.000042664306,0.00006476627,0.00004356956],"domain_scores_gemma":[0.9999461,0.000010316812,0.000016097636,0.0000075050893,0.000012215024,0.000007827798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022322878,0.0004378045,0.00029978092,0.00032898362,0.00016955555,0.00036534073,0.0002522519,0.00034457206,0.00049083773],"category_scores_gemma":[0.00012650617,0.0001740416,0.00041009882,0.00035827144,0.00019867177,0.0004874676,0.00027300807,0.00034834712,0.00026843394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048410293,0.00003209284,0.0006899677,0.00014815907,0.000013449772,0.00008417926,0.000018284556,0.0007903887,0.98732716,0.00022471146,0.000038091246,0.010585227],"study_design_scores_gemma":[0.000004431414,0.00021824989,0.0028129192,0.00001115033,0.000020468677,0.00018310324,0.00004822557,0.0018680422,0.99173534,0.00011881565,0.0029686159,0.000010735629],"about_ca_topic_score_codex":0.00045260869,"about_ca_topic_score_gemma":0.0016276342,"teacher_disagreement_score":0.00049083773,"about_ca_system_score_codex":0.00022123786,"about_ca_system_score_gemma":0.00022065095,"threshold_uncertainty_score":0.0016420484},"labels":[],"label_agreement":null},{"id":"W4412573379","doi":"10.3390/en18153897","title":"How Does Energy Harvesting from a Fluttering Foil Influence Its Nonlinear Dynamics?","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Innovative Energy Harvesting Technologies","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":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Lakehead University","keywords":"FOIL method; Nonlinear system; Energy harvesting; Dynamics (music); Energy (signal processing); Environmental science; Aerospace engineering; Physics; Computer science; Engineering; Materials science; Acoustics","score_opus":0.005040837545752937,"score_gpt":0.1925302610594106,"score_spread":0.18748942351365766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412573379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889846,0.00077706535,0.0061729643,0.00028893445,0.000052395786,0.000012989687,0.000043845168,0.00004408063,0.0036231687],"genre_scores_gemma":[0.99829,0.0004082147,0.00065982644,0.000036484576,0.0000059414656,0.0000064697165,0.000025204974,0.000008567876,0.0005593331],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999274,0.00001147719,0.000003315995,0.000015149429,0.000020712067,0.000021831036],"domain_scores_gemma":[0.9998665,0.000059509195,0.000028806144,0.000010662433,0.000023178263,0.000011340276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000204215,0.0001613103,0.00021889163,0.000094265735,0.00017534972,0.00038033805,0.00017379005,0.00028183084,0.000911997],"category_scores_gemma":[0.00070451805,0.0001074567,0.000117471296,0.00006861935,0.00033088817,0.00070476753,0.00020631877,0.00020688452,0.000315686],"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":[0.00010023968,0.000038177935,0.0035315626,0.00019890547,0.000021227794,0.00020758717,0.0001047207,0.01393321,0.96512634,0.0011022964,0.00020299166,0.01543273],"study_design_scores_gemma":[0.000026043548,0.0006877044,0.029801397,0.00007330192,0.000058928403,0.0004954601,0.0008479234,0.2755793,0.68288696,0.0033514614,0.0060980455,0.00009337197],"about_ca_topic_score_codex":0.00032935452,"about_ca_topic_score_gemma":0.00037275,"teacher_disagreement_score":0.000911997,"about_ca_system_score_codex":0.0001520484,"about_ca_system_score_gemma":0.00010297577,"threshold_uncertainty_score":0.003050983},"labels":[],"label_agreement":null},{"id":"W4412603033","doi":"10.3390/en18153937","title":"A Review on the State-of-the-Art and Commercial Status of Carbon Capture Technologies","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Engineering Applied Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Palcan Energy Corporation (Canada)","funders":"","keywords":"Carbon fibers; State (computer science); Environmental science; Nanotechnology; Engineering; Computer science; Materials science","score_opus":0.02004447799164896,"score_gpt":0.28007875966914,"score_spread":0.26003428167749104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412603033","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":[0.00035914814,0.99639076,0.00019563566,0.00029332476,0.00016412749,0.000008656696,0.0000986956,0.000011522184,0.002477985],"genre_scores_gemma":[0.0011291184,0.99777156,0.00023444934,0.00013041394,0.00008917766,0.0000070836877,0.00007168456,0.0000022943805,0.00056412246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946874,0.00007611681,0.00008934451,0.00009310582,0.0002286709,0.0000440645],"domain_scores_gemma":[0.9990663,0.0005233891,0.000157018,0.000022624492,0.0001953377,0.000035468114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492593,0.000842436,0.0011137845,0.0038455531,0.00037139675,0.0015812771,0.00089996244,0.0009969334,0.007394624],"category_scores_gemma":[0.0015599605,0.00034061,0.0010786107,0.004567705,0.0003287823,0.0017886251,0.0005762024,0.0010871823,0.0019153274],"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":[0.00008609355,0.000102914884,0.00044823636,0.13883957,0.00022134991,0.00041940986,0.00020631017,0.0007071699,0.005356339,0.008390638,0.042343628,0.8028784],"study_design_scores_gemma":[0.0000057713314,0.000085585765,0.000988805,0.014017599,0.0003038582,0.00077885675,0.00009017452,0.00009286509,0.0009685028,0.001667801,0.9809792,0.000020865304],"about_ca_topic_score_codex":0.001412076,"about_ca_topic_score_gemma":0.0027618206,"teacher_disagreement_score":0.007394624,"about_ca_system_score_codex":0.0006627685,"about_ca_system_score_gemma":0.0021666216,"threshold_uncertainty_score":0.024737418},"labels":[],"label_agreement":null},{"id":"W4412699161","doi":"10.3390/en18154019","title":"Price Impacts of Energy Transition on the Interconnected Wholesale Electricity Markets in the Northeast United States","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ford Foundation","keywords":"Hydroelectricity; Renewable energy; Electricity; Electricity market; Order (exchange); Economics; Business; Agricultural economics; Natural resource economics; Engineering; Finance","score_opus":0.00357005966963644,"score_gpt":0.18419566878972338,"score_spread":0.18062560912008693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412699161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964139,0.000058435144,0.00025273502,0.00024001401,0.0000071017084,0.0000040744862,0.00031806456,0.000013082024,0.002692622],"genre_scores_gemma":[0.9992368,0.0000326804,0.0000458575,0.000029793524,0.000002887752,0.000001808754,0.00022238912,0.0000029598045,0.0004247509],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982435,0.00004891965,0.000009237321,0.000031977794,0.00003607009,0.000049395672],"domain_scores_gemma":[0.99905175,0.00036252555,0.00028922135,0.000038027498,0.00015608915,0.00010237465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039624737,0.00013770531,0.00021335819,0.00031322622,0.0002683784,0.0012674943,0.00030255687,0.00030368104,0.0039041166],"category_scores_gemma":[0.0023102984,0.0001209865,0.0003484765,0.0005268428,0.00035958661,0.000813598,0.0004893832,0.0007955529,0.000148723],"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":[0.0015266987,0.00076237734,0.7851031,0.0000791968,0.00042898225,0.0018310446,0.00063949055,0.14233471,0.0048337067,0.02100545,0.008793407,0.032661837],"study_design_scores_gemma":[0.000085413965,0.0001919415,0.8917585,0.000015755819,0.00011395651,0.00011356431,0.0014907169,0.097701795,0.0014661087,0.0038886436,0.0031323954,0.000041139487],"about_ca_topic_score_codex":0.110484414,"about_ca_topic_score_gemma":0.13877088,"teacher_disagreement_score":0.110484414,"about_ca_system_score_codex":0.0012064166,"about_ca_system_score_gemma":0.0004543393,"threshold_uncertainty_score":0.21968263},"labels":[],"label_agreement":null},{"id":"W4412710753","doi":"10.3390/en18154040","title":"Advancing Nuclear Energy Governance Through Strategic Pathways for Q-NPT Adoption","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy Security and Policy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Corporate governance; Treaty; Geopolitics; Energy security; Conceptual framework; Sustainability; Business; Timeline; Transparency (behavior); Political science; Harmonization; Environmental resource management; Economics; Sociology; Engineering; Finance; Politics","score_opus":0.015164565977175824,"score_gpt":0.24765338346954463,"score_spread":0.2324888174923688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412710753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04768766,0.0010799444,0.6488714,0.0490411,0.0004046182,0.0010909803,0.00006905447,0.00048641083,0.2512688],"genre_scores_gemma":[0.8184645,0.0010615733,0.16824694,0.0024984165,0.00006221936,0.0007204149,0.0001053081,0.0001105776,0.008730011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98430043,0.009776641,0.0006023696,0.001122745,0.0025913143,0.0016064261],"domain_scores_gemma":[0.98968655,0.0043943003,0.0011936752,0.001530368,0.0019285979,0.0012664204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020209277,0.0006329619,0.0003216214,0.001469832,0.0035281545,0.009194432,0.0016314074,0.004561461,0.005672611],"category_scores_gemma":[0.018631881,0.0004636344,0.00083997956,0.0016434174,0.010077887,0.013990332,0.01451571,0.0051505165,0.0011934101],"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":[0.000013496599,0.00007229416,0.0010484043,0.00010253273,0.0000063605485,0.0002559946,0.0027314527,0.0032637224,0.000663222,0.9585802,0.0018676962,0.031394657],"study_design_scores_gemma":[0.00003841514,0.0001623352,0.0008209361,0.00049959245,0.000010924399,0.0003535189,0.007350235,0.009356066,0.0015432246,0.8216737,0.15813828,0.000052812862],"about_ca_topic_score_codex":0.00369253,"about_ca_topic_score_gemma":0.005405446,"teacher_disagreement_score":0.020209277,"about_ca_system_score_codex":0.008427899,"about_ca_system_score_gemma":0.02532343,"threshold_uncertainty_score":0.10687816},"labels":[],"label_agreement":null},{"id":"W4412833382","doi":"10.3390/en18153990","title":"Experimental Investigation into the Mechanisms of Liquid-Phase Damage in Shale Oil Reservoirs: A Case Study from the Leijia Area","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Oil shale; Petroleum engineering; Shale oil; Hydraulic fracturing; Geology; Fracturing fluid; Shale gas","score_opus":0.014638002915546598,"score_gpt":0.26853310618988385,"score_spread":0.25389510327433723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412833382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994981,0.000018335266,0.00024651192,0.000007709315,0.0000011615327,0.000011679683,0.00003723186,0.000004213171,0.00017498026],"genre_scores_gemma":[0.9988217,0.00006379521,0.00072588614,0.000003825669,0.0000011271015,0.000019885307,0.000055449716,0.0000015121185,0.0003068432],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979943,0.000027894688,0.000015280422,0.000040975796,0.00006683889,0.000049617567],"domain_scores_gemma":[0.9995003,0.00020753383,0.00008437618,0.00005184725,0.00011522896,0.000040725812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047358673,0.00044270567,0.00046301895,0.00043608056,0.0006273497,0.00033871632,0.0005598062,0.0008505726,0.0006820708],"category_scores_gemma":[0.00048868044,0.00022658531,0.00040939316,0.0003506981,0.00064112793,0.0004858472,0.00041333697,0.0004601901,0.00010052451],"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":[0.0015357162,0.0024664938,0.07712275,0.00079816935,0.00010805015,0.0042251716,0.0013654893,0.110154815,0.7805694,0.0008209846,0.00038337035,0.020449635],"study_design_scores_gemma":[0.00023057047,0.008903354,0.15103732,0.00006542203,0.00019713116,0.0006077403,0.003554854,0.18609045,0.6468471,0.00048430782,0.001845382,0.00013642445],"about_ca_topic_score_codex":0.005875763,"about_ca_topic_score_gemma":0.017864535,"teacher_disagreement_score":0.005875763,"about_ca_system_score_codex":0.0005767662,"about_ca_system_score_gemma":0.00058709824,"threshold_uncertainty_score":0.011683106},"labels":[],"label_agreement":null},{"id":"W4412930218","doi":"10.3390/en18154056","title":"Accidents in Oil and Gas Pipeline Transportation Systems","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Petroleum engineering; Fossil fuel; Environmental science; Pipeline transport; Transport engineering; Business; Engineering; Waste management; Forensic engineering; Environmental engineering","score_opus":0.00509706948884259,"score_gpt":0.215282751800563,"score_spread":0.2101856823117204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412930218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97231007,0.0038663074,0.00560164,0.00020769986,0.000053816217,0.00010056168,0.008907292,0.00018216403,0.008770474],"genre_scores_gemma":[0.9874559,0.003409698,0.0014184682,0.00002415465,0.000024997335,0.00003952236,0.0061696917,0.00001424748,0.0014432332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979837,0.0003443416,0.00030572532,0.00019517889,0.0009948775,0.00017617395],"domain_scores_gemma":[0.9970868,0.0007637561,0.0009362373,0.00014320468,0.0009797283,0.00009012842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006779727,0.00027668287,0.00026111514,0.009879496,0.00074517995,0.000799959,0.0002849865,0.0003409159,0.0020662635],"category_scores_gemma":[0.0029104024,0.00016867253,0.00057411846,0.008678451,0.00025907476,0.0006416206,0.0005726577,0.00021169272,0.00032305406],"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":[0.00030931854,0.000094091534,0.88040185,0.0005772103,0.00022348667,0.0016554063,0.0018298819,0.02006955,0.0009832128,0.0034128285,0.0062906095,0.084152535],"study_design_scores_gemma":[0.0000051820616,0.00020230563,0.97017246,0.00013505394,0.00011165198,0.0016533331,0.0028124275,0.010963773,0.0015131449,0.0010664717,0.0113214925,0.000042644224],"about_ca_topic_score_codex":0.036526836,"about_ca_topic_score_gemma":0.030206507,"teacher_disagreement_score":0.036526836,"about_ca_system_score_codex":0.0016584558,"about_ca_system_score_gemma":0.0009807089,"threshold_uncertainty_score":0.07262844},"labels":[],"label_agreement":null},{"id":"W4412930240","doi":"10.3390/en18154058","title":"Facile SEI Improvement in the Artificial Graphite/LFP Li-Ion System: Via NaPF6 and KPF6 Electrolyte Additives","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrolyte; Graphite; Ion; Materials science; Carbon fibers; Chemistry; Electrode; Metallurgy; Organic chemistry; Composite material; Composite number","score_opus":0.00468782777975655,"score_gpt":0.2070211579545839,"score_spread":0.20233333017482735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412930240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988014,0.001821469,0.0068900585,0.000121940255,0.000059517468,0.00003408963,0.00024379922,0.0002544681,0.002560724],"genre_scores_gemma":[0.98433393,0.001332179,0.011849374,0.000051495557,0.000008481874,0.000030564977,0.00021704042,0.000023413713,0.002153554],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990356,0.0000094333645,0.000008086362,0.000017339546,0.00004363058,0.000017887216],"domain_scores_gemma":[0.99995315,0.000006345715,0.000011164067,0.0000046657983,0.000016990178,0.0000075315274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009318351,0.00041709782,0.00022230971,0.0002943882,0.00018931554,0.00028528585,0.0003609257,0.0004395734,0.0008006507],"category_scores_gemma":[0.00016693842,0.00016229879,0.0001965755,0.00024738073,0.00015286873,0.00045376495,0.00030460604,0.00034386813,0.00030546045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060290753,0.0000139250105,0.0001869589,0.0001031318,0.000004665887,0.0001304891,0.000022120961,0.0001229481,0.9940362,0.0001188374,0.000053449352,0.0051470413],"study_design_scores_gemma":[0.000004149952,0.00008312,0.00044945156,0.0000051412576,0.0000057647376,0.000138829,0.000016577107,0.0007994636,0.9971777,0.00003369082,0.0012806571,0.000005427144],"about_ca_topic_score_codex":0.00048648674,"about_ca_topic_score_gemma":0.0014199778,"teacher_disagreement_score":0.0008006507,"about_ca_system_score_codex":0.00014736992,"about_ca_system_score_gemma":0.00017348722,"threshold_uncertainty_score":0.0026783943},"labels":[],"label_agreement":null},{"id":"W4412932234","doi":"10.3390/en18154125","title":"From Policy to Prices: How Carbon Markets Transmit Shocks Across Energy and Labor Systems","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Economics; Energy (signal processing); Natural resource economics; Carbon market; Carbon fibers; Labour economics; Greenhouse gas; Computer science; Ecology","score_opus":0.00957856056679229,"score_gpt":0.20582393677761587,"score_spread":0.19624537621082358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412932234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96433043,0.0006697367,0.017103672,0.0035461064,0.000077259356,0.000034051594,0.0006578485,0.00008326011,0.013497576],"genre_scores_gemma":[0.9980124,0.0001926956,0.00085595454,0.000102294776,0.000022409868,0.0000052636074,0.000113159294,0.0000098755545,0.000685908],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995223,0.00017377002,0.000024787189,0.00011860657,0.000078258505,0.0000821816],"domain_scores_gemma":[0.9982761,0.00092789286,0.0004560885,0.00010536748,0.00015641171,0.00007812255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008532534,0.00020770915,0.0002882682,0.0006686061,0.00028624813,0.002528326,0.00035933973,0.00065299135,0.0030837287],"category_scores_gemma":[0.0061523304,0.00022357557,0.00034759525,0.0010921332,0.0006226224,0.0023878522,0.0008346996,0.00077566743,0.0003521773],"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":[0.00027906976,0.00032017956,0.6081736,0.00017859161,0.0003482703,0.0007663917,0.0028283207,0.12075288,0.0060084336,0.11413192,0.004623421,0.14158897],"study_design_scores_gemma":[0.000031795593,0.0002428111,0.59906214,0.0001178624,0.00011282937,0.00017757749,0.0042395983,0.25356916,0.0023424618,0.12870267,0.011281911,0.000119185774],"about_ca_topic_score_codex":0.013261365,"about_ca_topic_score_gemma":0.009462685,"teacher_disagreement_score":0.013261365,"about_ca_system_score_codex":0.00081363326,"about_ca_system_score_gemma":0.00076099834,"threshold_uncertainty_score":0.02636838},"labels":[],"label_agreement":null},{"id":"W4412932329","doi":"10.3390/en18154099","title":"Novel Method of Estimating Iron Loss Equivalent Resistance of Laminated Core Winding at Various Frequencies","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Core (optical fiber); Materials science; Magnetic core; Composite material; Structural engineering; Engineering; Electrical engineering; Electromagnetic coil","score_opus":0.027162414358749273,"score_gpt":0.29618581599074073,"score_spread":0.26902340163199145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412932329","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":[0.016607732,0.00025076492,0.9792565,0.000051930645,0.000071075265,0.000058850685,0.00013691862,0.0016815824,0.001884607],"genre_scores_gemma":[0.43872043,0.0006104563,0.55555314,0.00007623782,0.00005117877,0.0002598044,0.0004408271,0.00033644986,0.0039515058],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900645,0.00016248072,0.000044823937,0.00032834188,0.00042179236,0.00003615753],"domain_scores_gemma":[0.9993593,0.00020796854,0.00011784911,0.000118495314,0.00018265974,0.000013818584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060072815,0.0012135076,0.00068049144,0.0018195923,0.00027420514,0.0007409104,0.0011150541,0.000901488,0.0022519769],"category_scores_gemma":[0.0022845545,0.00038103719,0.00047824666,0.00091878953,0.00039754304,0.0012309186,0.00040250152,0.00067830103,0.0013509748],"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":[0.0003166573,0.00018563663,0.0063921404,0.001170863,0.00013085804,0.00037428312,0.0005168231,0.041513145,0.3613471,0.006209242,0.0045752916,0.57726794],"study_design_scores_gemma":[0.00004967571,0.00034083237,0.006692265,0.000111938905,0.00013554841,0.0013270015,0.00019031065,0.6983507,0.2712877,0.004074162,0.017310916,0.00012894094],"about_ca_topic_score_codex":0.00069496746,"about_ca_topic_score_gemma":0.0014588437,"teacher_disagreement_score":0.0022519769,"about_ca_system_score_codex":0.00042831787,"about_ca_system_score_gemma":0.0003416613,"threshold_uncertainty_score":0.00753361},"labels":[],"label_agreement":null},{"id":"W4412966788","doi":"10.3390/en18143813","title":"Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Deutsche Forschungsgemeinschaft","keywords":"Derating; Robustness (evolution); Artificial neural network; Computer science; Control engineering; Torque; Control theory (sociology); Automotive industry; Engineering; Artificial intelligence; Control (management); Voltage","score_opus":0.0036207432901736876,"score_gpt":0.22126748397933385,"score_spread":0.21764674068916015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412966788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023333624,0.00027439502,0.9736221,0.00013569712,0.000059321945,0.000019057417,0.00005326619,0.00065270485,0.0018498832],"genre_scores_gemma":[0.92190886,0.00014644496,0.07567726,0.00009270911,0.000028756229,0.00003857944,0.00011397023,0.00004697633,0.0019463527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987817,0.000019566141,0.000008811778,0.00004000143,0.000035395526,0.00001802148],"domain_scores_gemma":[0.9997453,0.00011254144,0.000037787366,0.000027667666,0.0000636083,0.00001309673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039694115,0.00058663957,0.0003599044,0.00022014158,0.0001913116,0.00039042294,0.00060884573,0.00048657696,0.000970989],"category_scores_gemma":[0.0011987482,0.00030983027,0.0002882308,0.00017675862,0.00027295365,0.0007187719,0.0004961629,0.00083972316,0.00019158963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065857275,0.000033979715,0.00046927558,0.000052187246,0.000031424723,0.000043264088,0.000027500431,0.9079547,0.0054209386,0.0023728625,0.00048167325,0.08304632],"study_design_scores_gemma":[8.8369814e-7,0.000009018742,0.000053790158,0.0000017884149,0.0000022697964,0.0000028420711,0.0000013266044,0.998454,0.0007679171,0.00057186827,0.00013285442,0.000001591127],"about_ca_topic_score_codex":0.0065160687,"about_ca_topic_score_gemma":0.008767374,"teacher_disagreement_score":0.0065160687,"about_ca_system_score_codex":0.0005010169,"about_ca_system_score_gemma":0.0006175758,"threshold_uncertainty_score":0.012956262},"labels":[],"label_agreement":null},{"id":"W4412973918","doi":"10.3390/en18154156","title":"Hydroprocessed Ester and Fatty Acids to Jet: Are We Heading in the Right Direction for Sustainable Aviation Fuel Production?","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Jet fuel; Heading (navigation); Aviation; Aviation biofuel; Jet (fluid); Production (economics); Sustainable production; Aerospace engineering; Aeronautics; Chemistry; Environmental science; Automotive engineering; Engineering; Waste management; Biofuel; Economics; Bioenergy","score_opus":0.008317841137511143,"score_gpt":0.24676782318890159,"score_spread":0.23844998205139045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412973918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63181466,0.24763153,0.020763006,0.051920403,0.0009475777,0.0001173753,0.001015924,0.00012943461,0.045660105],"genre_scores_gemma":[0.8897567,0.090818934,0.006797721,0.0022669984,0.00022741518,0.000031173546,0.00035498192,0.000040302843,0.00970574],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959236,0.00007940479,0.000020718124,0.00008503225,0.00013507015,0.00008735626],"domain_scores_gemma":[0.99906975,0.0002507697,0.00035437272,0.0000425668,0.00019201783,0.000090672875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015079848,0.00031541887,0.0003390368,0.00043779577,0.00028967962,0.0026137151,0.00051145046,0.00097004947,0.0074130036],"category_scores_gemma":[0.0017363739,0.00012326427,0.00023525131,0.00049824634,0.0009978827,0.0042313663,0.00047930595,0.0008357163,0.0011746701],"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":[0.0017128056,0.0004465786,0.029643023,0.003978498,0.00016861231,0.0009009873,0.00040530512,0.0040881443,0.13799345,0.041664448,0.0057082037,0.7732899],"study_design_scores_gemma":[0.00012910891,0.0042776694,0.07161624,0.0039948868,0.00041679968,0.0017832984,0.014029338,0.008498478,0.27814904,0.10050184,0.516275,0.00032839298],"about_ca_topic_score_codex":0.0027066167,"about_ca_topic_score_gemma":0.006967602,"teacher_disagreement_score":0.0074130036,"about_ca_system_score_codex":0.00093316,"about_ca_system_score_gemma":0.0018349384,"threshold_uncertainty_score":0.02479893},"labels":[],"label_agreement":null},{"id":"W4413006894","doi":"10.3390/en18154168","title":"An Integrated Bond Graph Methodology for Building Performance Simulation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Bond graph; Computer science; Bond; Graph; Business; Mathematics; Theoretical computer science; Finance","score_opus":0.023691534176935102,"score_gpt":0.2924234070954668,"score_spread":0.26873187291853173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413006894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044864076,0.0000903703,0.98945695,0.00005102417,0.00002973544,0.00005272117,0.00019650541,0.00050235586,0.0051338826],"genre_scores_gemma":[0.4201173,0.00080787897,0.56675327,0.00013440434,0.00006076687,0.0008893405,0.0012835193,0.0008534424,0.009100074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967754,0.00011278522,0.000013082485,0.000038903036,0.00012811247,0.000029531559],"domain_scores_gemma":[0.99960047,0.00021138221,0.00003381741,0.00006022141,0.00007777504,0.000016237487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067474943,0.00091315917,0.00064739515,0.0008325839,0.00043667186,0.0007625889,0.0014037404,0.001013543,0.006623577],"category_scores_gemma":[0.0014445755,0.0005645555,0.0009245049,0.0008446171,0.00047599498,0.00091486506,0.00081541494,0.0011711189,0.001122174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000091687425,0.000019382851,0.00018187113,0.000026584432,0.000017552244,0.000022352757,0.000016069376,0.9699509,0.0010642397,0.020111373,0.0003772467,0.008203142],"study_design_scores_gemma":[0.0000024235412,0.000007484972,0.00002795467,0.0000035568924,0.0000028332176,0.000004647396,0.000003724514,0.99190384,0.00029347427,0.006462306,0.001284729,0.0000030794024],"about_ca_topic_score_codex":0.005768467,"about_ca_topic_score_gemma":0.004619441,"teacher_disagreement_score":0.006623577,"about_ca_system_score_codex":0.00057810853,"about_ca_system_score_gemma":0.0009449755,"threshold_uncertainty_score":0.022158027},"labels":[],"label_agreement":null},{"id":"W4413104264","doi":"10.3390/en18164296","title":"Hybrid Adaptive Learning-Based Control for Grid-Forming Inverters: Real-Time Adaptive Voltage Regulation, Multi-Level Disturbance Rejection, and Lyapunov-Based Stability","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Key Research and Development Program of China","keywords":"Control theory (sociology); Disturbance (geology); Grid; Adaptive control; Stability (learning theory); Lyapunov stability; Lyapunov function; Adaptive learning; Computer science; Control (management); Control engineering; Engineering; Mathematics; Artificial intelligence; Nonlinear system","score_opus":0.011895454153869887,"score_gpt":0.20263725789670073,"score_spread":0.19074180374283084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413104264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02099635,0.0004033333,0.97403044,0.00011343907,0.00004965124,0.000038470134,0.000010916254,0.00035894135,0.003998489],"genre_scores_gemma":[0.9630838,0.00018771502,0.03508268,0.00006803705,0.00003409477,0.000060350707,0.000023704239,0.000021523101,0.001438042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997464,0.000051842315,0.000013162293,0.000057676527,0.00010357448,0.000027465321],"domain_scores_gemma":[0.999762,0.00008371681,0.000050346935,0.00002020814,0.000071809955,0.000011879764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047228683,0.0005237602,0.00044028234,0.00021519796,0.0002712958,0.0006185734,0.00083147193,0.00039650997,0.0008068933],"category_scores_gemma":[0.0007485386,0.00012880811,0.0002655962,0.00028955287,0.0004556174,0.00041796832,0.00053573074,0.00059298513,0.00014816347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008595601,0.000080350736,0.00063007604,0.000104204344,0.00003980086,0.000058010184,0.00008567505,0.8490342,0.0070543233,0.007541401,0.00091993256,0.13436618],"study_design_scores_gemma":[0.0000055093146,0.000034780907,0.00005901583,0.0000028970178,0.000003001347,0.000007927657,0.0000027048072,0.9983177,0.00070482754,0.0005134017,0.0003453675,0.0000028236675],"about_ca_topic_score_codex":0.0037369463,"about_ca_topic_score_gemma":0.003844616,"teacher_disagreement_score":0.0037369463,"about_ca_system_score_codex":0.00053808664,"about_ca_system_score_gemma":0.00044131227,"threshold_uncertainty_score":0.0074303746},"labels":[],"label_agreement":null},{"id":"W4413104303","doi":"10.3390/en18164286","title":"Motor Airgap Torque Harmonics Due to Cascaded H-Bridge Inverter Operating with Failed Cells","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Harmonics; Inverter; Torque; H bridge; Direct torque control; Control theory (sociology); Electrical engineering; Engineering; Induction motor; Automotive engineering; Computer science; Physics; Voltage","score_opus":0.00835926529688172,"score_gpt":0.20118567429066797,"score_spread":0.19282640899378625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413104303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6220757,0.00048740805,0.36407217,0.00013099419,0.00010831605,0.000049709884,0.00012373974,0.00052325474,0.012428775],"genre_scores_gemma":[0.99590105,0.00008681126,0.003258942,0.000009601312,0.000009493889,0.0000076069477,0.000030487832,0.00001494479,0.00068104285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998888,0.000012714242,0.000006104917,0.000013488677,0.000066536595,0.0000123803375],"domain_scores_gemma":[0.9998405,0.000057904075,0.00005069902,0.000013256492,0.0000305806,0.000007068187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014181915,0.00027753174,0.00022052771,0.00021965745,0.00013103666,0.0002688763,0.0003911632,0.00030509662,0.0013968099],"category_scores_gemma":[0.0003554552,0.000084335465,0.00022613815,0.00013351394,0.00025600937,0.00023983727,0.00014970373,0.00026481642,0.0001788149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001316629,0.00017047946,0.008012001,0.0010348661,0.00013697415,0.0057208124,0.0009615061,0.40425292,0.39999375,0.020441277,0.0021784068,0.1557804],"study_design_scores_gemma":[0.000023336941,0.00039923715,0.008418756,0.000030796007,0.000052091247,0.00077833293,0.00014258099,0.9481915,0.03685624,0.0029877722,0.0021013964,0.000017789469],"about_ca_topic_score_codex":0.00072092185,"about_ca_topic_score_gemma":0.0007070046,"teacher_disagreement_score":0.0013968099,"about_ca_system_score_codex":0.00029469008,"about_ca_system_score_gemma":0.000091227324,"threshold_uncertainty_score":0.0046727657},"labels":[],"label_agreement":null},{"id":"W4413122836","doi":"10.3390/en18164225","title":"A Review of Mycelium Bio-Composites as Energy-Efficient Sustainable Building Materials","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Mycelium; Composite material; Materials science; Biology; Botany","score_opus":0.00540484003776545,"score_gpt":0.21740705968547275,"score_spread":0.2120022196477073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413122836","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":[0.00082092243,0.9957877,0.00074578583,0.00015769798,0.00020059329,0.000013824263,0.000079656085,0.000015626238,0.0021783356],"genre_scores_gemma":[0.002673198,0.99439985,0.00120116,0.00013731014,0.00013023407,0.000016245735,0.00009442013,0.0000053170447,0.0013423422],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997867,0.000033943885,0.000046701116,0.000041646985,0.000070806826,0.000020265863],"domain_scores_gemma":[0.9997478,0.00009881831,0.0000618657,0.000008493567,0.00006215043,0.000020875064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041786072,0.00093793817,0.0010242381,0.002481663,0.00028269875,0.0008893853,0.0005424819,0.0007337906,0.003813034],"category_scores_gemma":[0.00037931945,0.00042752997,0.00057250896,0.002991634,0.00019724877,0.0011438314,0.0004781425,0.0006920577,0.0017152262],"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":[0.00013315445,0.0001743884,0.0003211739,0.090981856,0.00020744852,0.0003829963,0.00015319187,0.0016919521,0.033383466,0.005439622,0.022661854,0.84446883],"study_design_scores_gemma":[0.0000067858937,0.00014713978,0.0011454709,0.0051347776,0.00016156062,0.00063427025,0.00005813648,0.00021472818,0.0046553113,0.0010593,0.9867569,0.00002564758],"about_ca_topic_score_codex":0.0007398249,"about_ca_topic_score_gemma":0.00149557,"teacher_disagreement_score":0.003813034,"about_ca_system_score_codex":0.00034316353,"about_ca_system_score_gemma":0.0010412531,"threshold_uncertainty_score":0.012755871},"labels":[],"label_agreement":null},{"id":"W4413123447","doi":"10.3390/en18164234","title":"Decarbonization Strategies for Northern Quebec: Enhancing Building Efficiency and Integrating Renewable Energy in Off-Grid Indigenous Communities","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Renewable energy; Indigenous; Grid; Environmental economics; Efficient energy use; Natural resource economics; Business; Environmental resource management; Environmental science; Environmental protection; Geography; Environmental planning; Engineering; Economics; Ecology; Electrical engineering","score_opus":0.003248645539299043,"score_gpt":0.20694744329309372,"score_spread":0.20369879775379468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413123447","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02395479,0.89775455,0.0018374607,0.015584343,0.00086301,0.00015270355,0.0010942938,0.0000786103,0.058680255],"genre_scores_gemma":[0.17981654,0.7993778,0.004212561,0.0029862614,0.000114241055,0.00010620972,0.0006418679,0.00002247882,0.0127220685],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995888,0.00007352111,0.000020484178,0.00003542847,0.00018056383,0.000101291],"domain_scores_gemma":[0.9992931,0.0001103455,0.000046585294,0.0000115242265,0.00046701284,0.00007150177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078811304,0.00052053464,0.00043043974,0.0015556626,0.0018720271,0.0018398796,0.00095000735,0.0006342391,0.0038007987],"category_scores_gemma":[0.0010098187,0.00009743357,0.00052753324,0.0022977097,0.00077482336,0.00081482076,0.00050473196,0.0007301557,0.00018152589],"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":[0.00008350297,0.00011953176,0.007239746,0.028887061,0.00030608563,0.0015977928,0.005246551,0.0036195621,0.006753809,0.029457593,0.081412785,0.83527607],"study_design_scores_gemma":[0.000016882737,0.000064377426,0.019797806,0.011222929,0.00022578106,0.00029657592,0.004464196,0.0005700457,0.0011265737,0.0015316156,0.9606226,0.00006061945],"about_ca_topic_score_codex":0.9336723,"about_ca_topic_score_gemma":0.9783563,"teacher_disagreement_score":0.06632769,"about_ca_system_score_codex":0.01981771,"about_ca_system_score_gemma":0.046909533,"threshold_uncertainty_score":0.14378822},"labels":[],"label_agreement":null},{"id":"W4413133383","doi":"10.3390/en18154200","title":"Systems Thinking for Climate Change and Clean Energy","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Systems thinking; Causal loop diagram; Transformative learning; Leverage (statistics); Computer science; Climate change mitigation; Climate change; Process management; Risk analysis (engineering); Environmental resource management; Knowledge management; Environmental economics; System dynamics; Business; Economics; Ecology","score_opus":0.019187785236843637,"score_gpt":0.23768843318227462,"score_spread":0.21850064794543098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413133383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013615594,0.10486607,0.5244844,0.090358585,0.002551084,0.00030199433,0.00048388794,0.0006968166,0.2626416],"genre_scores_gemma":[0.7018242,0.074260496,0.19976474,0.006876401,0.0016984207,0.0008201509,0.00046062178,0.00019530488,0.014099645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962758,0.002587179,0.00012616704,0.0003624572,0.000519741,0.00012877822],"domain_scores_gemma":[0.99639064,0.0025907983,0.00022975857,0.0003186835,0.00029269324,0.00017741774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054576183,0.0011147935,0.000725448,0.0028903382,0.0018296367,0.0053743776,0.0012118772,0.0025260695,0.0068689347],"category_scores_gemma":[0.0048369328,0.00028319322,0.0010703121,0.0024311058,0.013112771,0.0057192054,0.0029861093,0.0044114892,0.0006450855],"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":[0.000003735845,0.000006279233,0.0001429838,0.00017157663,0.000016592525,0.000025170812,0.0006514467,0.0026084047,0.00007949895,0.9849747,0.001835705,0.0094840005],"study_design_scores_gemma":[0.0000031192687,0.0000069009257,0.000101955084,0.00017867722,0.0000051528696,0.00002244011,0.00035145917,0.0015306504,0.000051591167,0.96343285,0.03430859,0.0000066320945],"about_ca_topic_score_codex":0.0051652947,"about_ca_topic_score_gemma":0.0053939074,"teacher_disagreement_score":0.0068689347,"about_ca_system_score_codex":0.006558323,"about_ca_system_score_gemma":0.006677965,"threshold_uncertainty_score":0.047584236},"labels":[],"label_agreement":null},{"id":"W4413206760","doi":"10.3390/en18164245","title":"Energy Arbitrage Analysis for Market-Selection of a Battery Energy Storage System-Based Venture","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Arbitrage; Volatility (finance); Electricity market; Electricity; Renewable energy; Economics; Profitability index; Energy market; Business; Environmental economics; Econometrics; Finance; Engineering","score_opus":0.002899429282277446,"score_gpt":0.18233526748842174,"score_spread":0.1794358382061443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413206760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812983,0.00009444885,0.014531602,0.00005442799,0.0000059101503,0.00006453038,0.00034356452,0.000037820726,0.0035692435],"genre_scores_gemma":[0.997224,0.000024485282,0.0022031176,0.0000030213253,0.000001588173,0.000015802887,0.0002503804,0.0000037236405,0.00027387156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999041,0.00036954944,0.00006310541,0.00011666878,0.00025112435,0.00015844754],"domain_scores_gemma":[0.99685943,0.0020149953,0.0004740354,0.00013446048,0.0003921864,0.0001249046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029956987,0.00041266612,0.00044089134,0.0023321672,0.00028977383,0.0020189707,0.00036054073,0.000387613,0.0031525746],"category_scores_gemma":[0.008601134,0.00014256229,0.0008637975,0.001483981,0.00039906375,0.0014013548,0.0007848918,0.00032822328,0.00019748721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012888686,0.0002601148,0.33164853,0.00025175954,0.0004076189,0.001705737,0.00053409004,0.51149553,0.0059433505,0.045400534,0.0023371573,0.098726705],"study_design_scores_gemma":[0.000035825953,0.0004445427,0.091708794,0.000037057187,0.000100568126,0.00022628262,0.0009945824,0.8921067,0.0022040433,0.01053334,0.0015624432,0.00004590419],"about_ca_topic_score_codex":0.0029380848,"about_ca_topic_score_gemma":0.0025001562,"teacher_disagreement_score":0.0031525746,"about_ca_system_score_codex":0.0008773763,"about_ca_system_score_gemma":0.00065063074,"threshold_uncertainty_score":0.015842974},"labels":[],"label_agreement":null},{"id":"W4413251933","doi":"10.3390/en18154205","title":"Machine Learning-Driven Prediction of CO2 Solubility in Brine: A Hybrid Grey Wolf Optimizer (GWO)-Assisted Gaussian Process Regression (GPR) Approach","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Solubility; Kriging; Brine; Gaussian process; Hyperparameter; Computer science; Gaussian; Algorithm; Process engineering; Biological system; Materials science; Artificial intelligence; Machine learning; Thermodynamics; Engineering; Chemistry; Physics","score_opus":0.008221563664612973,"score_gpt":0.23389607666656656,"score_spread":0.2256745130019536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413251933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3313329,0.0003251808,0.66550785,0.0003558084,0.00003126713,0.000046500794,0.00011323886,0.00084321114,0.0014441767],"genre_scores_gemma":[0.938729,0.00012836678,0.05983074,0.00006153206,0.000011786941,0.000051879902,0.00015355245,0.0000878944,0.0009452635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984396,0.00004832923,0.000010015754,0.000039091054,0.000036698246,0.000021864884],"domain_scores_gemma":[0.9995616,0.00027474193,0.00004462401,0.000026421912,0.000074401694,0.00001824351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009984876,0.0006533593,0.0006456447,0.00034758713,0.00019023512,0.0005168577,0.0006606889,0.00084421877,0.0004375771],"category_scores_gemma":[0.0018334569,0.0002783495,0.0005993522,0.00037142012,0.0003935679,0.00063359627,0.0005274359,0.00090538914,0.00015275537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006277959,0.000035642934,0.0011513315,0.000037008995,0.000028772512,0.000044428416,0.000020123993,0.98107266,0.005352777,0.0010027516,0.00015631392,0.01103534],"study_design_scores_gemma":[0.0000017919934,0.0000062578756,0.00007896446,6.6582055e-7,0.0000015912227,0.0000020814346,0.0000012020071,0.99909985,0.00064871914,0.00012906395,0.000028169881,0.0000015811511],"about_ca_topic_score_codex":0.0055347136,"about_ca_topic_score_gemma":0.0039042449,"teacher_disagreement_score":0.0055347136,"about_ca_system_score_codex":0.00044784253,"about_ca_system_score_gemma":0.0012294485,"threshold_uncertainty_score":0.011004984},"labels":[],"label_agreement":null},{"id":"W4413279862","doi":"10.3390/en18164400","title":"Numerically Enhanced Interfacings for Average-Value Models of Voltage-Source Converters in Nodal-Based EMT Simulators","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Converters; NODAL; Voltage; Value (mathematics); Electrical engineering; Computer science; Electronic engineering; Mathematics; Engineering; Statistics; Medicine; Internal medicine","score_opus":0.004940558819499696,"score_gpt":0.21609417938276818,"score_spread":0.21115362056326847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413279862","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":[0.015748225,0.000045999754,0.9787813,0.000049697574,0.000021204014,0.00003065156,0.00004120325,0.00044511055,0.004836544],"genre_scores_gemma":[0.6690778,0.00018247303,0.3236679,0.000076600045,0.000023758499,0.00020557533,0.00014374375,0.00032547503,0.00629665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998116,0.00007718189,0.000009265682,0.00001183355,0.000076206125,0.0000139260555],"domain_scores_gemma":[0.99954337,0.00024992524,0.00004083319,0.00006803511,0.00007857446,0.000019259855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005467065,0.00040594145,0.00035540797,0.00026326743,0.0002661204,0.0006048215,0.0010326068,0.00067000656,0.004117057],"category_scores_gemma":[0.0020457844,0.00025645862,0.00038264613,0.00029686198,0.0003574593,0.0009597771,0.0005707401,0.0010119409,0.0005456398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047445836,0.000036372574,0.00037348305,0.000052365267,0.000009753277,0.000082231185,0.00013845191,0.9116342,0.0069594034,0.063240126,0.00053883187,0.016887328],"study_design_scores_gemma":[0.000004322732,0.000009728651,0.000016743046,0.0000036883528,0.0000013394953,0.000007720137,0.0000052871674,0.99586076,0.0008824388,0.0024030805,0.0008029974,0.0000020664168],"about_ca_topic_score_codex":0.001956909,"about_ca_topic_score_gemma":0.0024679394,"teacher_disagreement_score":0.004117057,"about_ca_system_score_codex":0.00035843253,"about_ca_system_score_gemma":0.0005146242,"threshold_uncertainty_score":0.0137729645},"labels":[],"label_agreement":null},{"id":"W4413283574","doi":"10.3390/en18164385","title":"Mechanistic Study of CO2-Based Oil Flooding in Microfluidics and Machine Learning Parametric Analysis","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Microfluidics; Flooding (psychology); Parametric statistics; Computer science; Machine learning; Artificial intelligence; Engineering; Biochemical engineering; Nanotechnology; Materials science; Mathematics; Psychology","score_opus":0.007424496744831205,"score_gpt":0.22432570640101646,"score_spread":0.21690120965618526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413283574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75417435,0.0038145042,0.2350018,0.0012960244,0.00011106945,0.00016014422,0.00026420422,0.000549011,0.0046288734],"genre_scores_gemma":[0.97485447,0.001093869,0.022910712,0.00008387403,0.000024231746,0.00007222482,0.00007080585,0.000014798436,0.0008750116],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997775,0.000037859136,0.000011374641,0.000052640768,0.000078562225,0.00004216373],"domain_scores_gemma":[0.99977094,0.0001256916,0.000041282332,0.00002018494,0.000026552574,0.000015380132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042499683,0.00032866542,0.00032783675,0.00025253056,0.00025777062,0.0003829167,0.00038298513,0.00048303755,0.0006124504],"category_scores_gemma":[0.00080803584,0.00014237428,0.0002308921,0.00021161421,0.000609856,0.0007815519,0.0005257923,0.00054425217,0.00009879389],"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":[0.00009980826,0.00008911331,0.00089092285,0.00022329325,0.000016286152,0.00029233514,0.00008513849,0.01860418,0.9533133,0.008204557,0.00022750087,0.017953526],"study_design_scores_gemma":[0.000014968238,0.00019235285,0.0012170913,0.00001812795,0.000011164109,0.00014832779,0.000051229,0.19296834,0.7988122,0.0023767736,0.0041604005,0.00002909663],"about_ca_topic_score_codex":0.00074944214,"about_ca_topic_score_gemma":0.0006768261,"teacher_disagreement_score":0.00074944214,"about_ca_system_score_codex":0.00041517467,"about_ca_system_score_gemma":0.00043259686,"threshold_uncertainty_score":0.0030122995},"labels":[],"label_agreement":null},{"id":"W4413283579","doi":"10.3390/en18164381","title":"Wellhead Choke Performance for Multiphase Flowback: A Data-Driven Investigation on Shale Gas Wells","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Wellhead; Choke; Petroleum engineering; Shale gas; Oil shale; Environmental science; Geology; Engineering; Waste management","score_opus":0.024242005827488648,"score_gpt":0.2526469156281795,"score_spread":0.22840490980069084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413283579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933287,0.00008840763,0.0044466318,0.00010512582,0.000008437898,0.000025089279,0.0013986739,0.00026202586,0.00033699858],"genre_scores_gemma":[0.9947336,0.000044385906,0.0030846247,0.000015128729,0.00000436109,0.000018735136,0.0019241598,0.000020590342,0.00015439797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997352,0.000059486058,0.000020729267,0.00008943279,0.000053935357,0.000041189465],"domain_scores_gemma":[0.9982546,0.00097642245,0.00022580977,0.00018345882,0.00029520743,0.00006446094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011466967,0.0007292097,0.00045403605,0.0010116088,0.0002724633,0.0006604553,0.00074295833,0.0007036878,0.00039294313],"category_scores_gemma":[0.0030135408,0.00028036835,0.0006887528,0.00072799664,0.00048738558,0.0011658658,0.0003698494,0.00071701943,0.00012060121],"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":[0.00042355547,0.00047851139,0.16734777,0.0001676525,0.0001122091,0.0002779621,0.00012672514,0.7970473,0.007903517,0.0008437798,0.0012794691,0.023991581],"study_design_scores_gemma":[0.000008416017,0.000063605854,0.029544704,0.0000086310665,0.000008721505,0.000022389077,0.00004866641,0.9653179,0.004383513,0.00031247255,0.00025908195,0.000021830654],"about_ca_topic_score_codex":0.017552618,"about_ca_topic_score_gemma":0.022158988,"teacher_disagreement_score":0.017552618,"about_ca_system_score_codex":0.0011602318,"about_ca_system_score_gemma":0.0006912269,"threshold_uncertainty_score":0.034900904},"labels":[],"label_agreement":null},{"id":"W4413330120","doi":"10.3390/en18164417","title":"A Review of Software and Hardware Tools for Microgrid Protection Testbeds","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Islanding Detection in Power 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":"Université Laval","funders":"Université Laval","keywords":"Microgrid; Software; Computer science; Embedded system; Computer architecture; Computer hardware; Operating system; Artificial intelligence","score_opus":0.012737121159100157,"score_gpt":0.23295872643400056,"score_spread":0.2202216052749004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413330120","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":[0.0047690724,0.74808425,0.20306852,0.0012464918,0.0010724377,0.0003569073,0.0027875993,0.0037501862,0.034864537],"genre_scores_gemma":[0.021779904,0.76907295,0.1928057,0.0008351825,0.0005264196,0.00058320764,0.0051849927,0.0012141304,0.0079975575],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771154,0.0005179184,0.00043548262,0.00023866749,0.000994573,0.00010191801],"domain_scores_gemma":[0.99397165,0.003507939,0.00055474555,0.0004342555,0.0013918929,0.00013943354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029353888,0.0015721882,0.0015265225,0.005828641,0.00045275327,0.0022691567,0.0023914534,0.0012176463,0.007222209],"category_scores_gemma":[0.007044067,0.0011002524,0.0012366829,0.006367539,0.000542171,0.003217923,0.0012223974,0.0012254396,0.004741157],"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":[0.00010168588,0.00009100792,0.0006898456,0.027769128,0.00010363866,0.0002909713,0.00031828866,0.010138183,0.007284461,0.01718017,0.032510966,0.9035217],"study_design_scores_gemma":[0.000018603572,0.00016408428,0.00095036783,0.008247342,0.00014019222,0.0006141486,0.00014097062,0.004022102,0.005157679,0.005375417,0.9750886,0.000080547856],"about_ca_topic_score_codex":0.0019226035,"about_ca_topic_score_gemma":0.002192228,"teacher_disagreement_score":0.007222209,"about_ca_system_score_codex":0.0007380261,"about_ca_system_score_gemma":0.0021980205,"threshold_uncertainty_score":0.024160683},"labels":[],"label_agreement":null},{"id":"W4413772252","doi":"10.3390/en18174561","title":"Enhanced Renewable Energy Integration: A Comprehensive Framework for Grid Planning and Hybrid Power Plant Allocation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Renewable energy; Grid; Hybrid power; Environmental economics; Power grid; Power (physics); Computer science; Environmental science; Engineering; Electrical engineering; Economics; Physics","score_opus":0.015204804049036675,"score_gpt":0.26297150642879147,"score_spread":0.2477667023797548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413772252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024650064,0.00047324598,0.9859411,0.0004029058,0.000032001608,0.00006546083,0.00015977811,0.00013348002,0.010327011],"genre_scores_gemma":[0.5244004,0.0025932554,0.45915908,0.00023853523,0.00015831064,0.0007921173,0.0005390809,0.00016215823,0.011957113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993993,0.00031956774,0.000019894682,0.000065255044,0.00013756516,0.000058342597],"domain_scores_gemma":[0.9996314,0.00018375584,0.00004941125,0.000026973097,0.00007037021,0.00003801764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013049515,0.0013567527,0.0009499386,0.00072499365,0.00049943005,0.002273322,0.0017203882,0.0012569956,0.0045560035],"category_scores_gemma":[0.0015710306,0.00081592286,0.0010111921,0.0015011001,0.00088727,0.0016165668,0.0016590307,0.0017186073,0.0005949334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050252,0.000008745977,0.0000646929,0.000023884864,0.000012340983,0.000034842535,0.000014914259,0.9488335,0.00008880628,0.045302477,0.0005438485,0.005066901],"study_design_scores_gemma":[0.0000049471855,0.000011653988,0.000032008717,0.000016728389,0.0000054520387,0.000010762965,0.000013085585,0.9704396,0.000047976228,0.027337305,0.002075054,0.0000054807742],"about_ca_topic_score_codex":0.011576566,"about_ca_topic_score_gemma":0.021049945,"teacher_disagreement_score":0.011576566,"about_ca_system_score_codex":0.0016834139,"about_ca_system_score_gemma":0.0031942164,"threshold_uncertainty_score":0.02301836},"labels":[],"label_agreement":null},{"id":"W4413806815","doi":"10.3390/en18174579","title":"Effect of Moisture and Aging of Kraft Paper Immersed in Mineral Oil and Synthetic Ester on Bubbling Inception Temperature in Power Transformers","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Mineral oil; Kraft paper; Moisture; Materials science; Water content; Electrical insulation paper; Transformer; Synthetic oil; Transformer oil; Environmental science; Composite material; Process engineering; Petroleum engineering; Pulp and paper industry; Electrical engineering; Voltage; Engineering; Geotechnical engineering","score_opus":0.0017820091608375806,"score_gpt":0.20113448373180826,"score_spread":0.19935247457097066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413806815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99796116,0.0007278377,0.0009203043,0.0000152097955,0.000021483253,0.000010267826,0.00008715559,0.00002517515,0.00023141365],"genre_scores_gemma":[0.99835384,0.0006186384,0.00064796896,0.000015318485,0.0000051150737,0.000010128648,0.0000637195,0.000009662262,0.0002756603],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997534,0.00003525431,0.00002669014,0.000064542146,0.000076672826,0.000043424294],"domain_scores_gemma":[0.9994998,0.00020335881,0.00011861995,0.000032469987,0.000096050375,0.000049698057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047064084,0.00040599215,0.00035593912,0.00024690168,0.00015003755,0.00035525806,0.00022164176,0.00028118913,0.0006833766],"category_scores_gemma":[0.0009997211,0.00021439903,0.0003632038,0.00028866477,0.00027606182,0.0005573595,0.00021438797,0.0005932494,0.00019648254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011340381,0.00020992127,0.004515129,0.00027131007,0.000038015794,0.00020980478,0.00030664078,0.0024638162,0.9793243,0.00007575277,0.00008820648,0.011363045],"study_design_scores_gemma":[0.00000947559,0.0018104075,0.014251737,0.000027869914,0.00005173183,0.00008379985,0.00022331032,0.007875817,0.97505176,0.000032608223,0.0005578301,0.000023675682],"about_ca_topic_score_codex":0.0015475758,"about_ca_topic_score_gemma":0.00213331,"teacher_disagreement_score":0.0015475758,"about_ca_system_score_codex":0.00024581695,"about_ca_system_score_gemma":0.00014219899,"threshold_uncertainty_score":0.0030771494},"labels":[],"label_agreement":null},{"id":"W4413908625","doi":"10.3390/en18174624","title":"Implementing Wireless Charging System for Semi-Autonomous Agricultural Robots","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ministère des relations internationales et de la Francophonie; CMC Microsystems","keywords":"Robot; Wireless; Agriculture; Computer science; Engineering; Electrical engineering; Telecommunications; Artificial intelligence; Geography","score_opus":0.006237880772398377,"score_gpt":0.21012914192403767,"score_spread":0.2038912611516393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413908625","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19646868,0.00031004313,0.79186875,0.00024210456,0.00016268555,0.00022500483,0.000080978876,0.0018306525,0.008811089],"genre_scores_gemma":[0.9384149,0.00014709284,0.057657328,0.000048739126,0.000018848328,0.00012592849,0.000050822924,0.000031642587,0.003504764],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998622,0.00002639107,0.000009927393,0.000026446372,0.000057378813,0.000017687738],"domain_scores_gemma":[0.99986446,0.000028316465,0.000026768155,0.000026160042,0.00004520947,0.000008997182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018090627,0.00027284233,0.00022372545,0.00022971291,0.00023599197,0.0002961993,0.0006483446,0.00034033394,0.001691734],"category_scores_gemma":[0.0003049152,0.000107862616,0.0001860708,0.00018502434,0.00023784858,0.00054275244,0.00035643793,0.0001855903,0.00060367514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004284577,0.00013600802,0.0034470847,0.00079056696,0.000051033174,0.0007109812,0.00045705793,0.05100088,0.65300584,0.007849977,0.0026391668,0.27948302],"study_design_scores_gemma":[0.00010389992,0.0018938669,0.0042995866,0.000048870486,0.0000866125,0.0010447865,0.0002296692,0.41783586,0.5166028,0.004955131,0.05282586,0.0000730113],"about_ca_topic_score_codex":0.00020315172,"about_ca_topic_score_gemma":0.00019730933,"teacher_disagreement_score":0.001691734,"about_ca_system_score_codex":0.00017697348,"about_ca_system_score_gemma":0.00020813795,"threshold_uncertainty_score":0.0056594014},"labels":[],"label_agreement":null},{"id":"W4413908657","doi":"10.3390/en18174622","title":"Real-Time Energy Management of a Microgrid Using MPC-DDQN-Controlled V2H and H2V Operations with Renewable Energy Integration","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Egg Farmers of Canada","keywords":"Microgrid; Renewable energy; Energy management; Computer science; Intermittent energy source; Energy (signal processing); Distributed generation; Engineering; Electrical engineering; Mathematics","score_opus":0.00398755118681473,"score_gpt":0.1911978517370053,"score_spread":0.18721030055019056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413908657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60439676,0.00026169553,0.37378195,0.00032528615,0.00011278271,0.00018992672,0.00016346903,0.0018996433,0.018868538],"genre_scores_gemma":[0.99688125,0.00001489305,0.0024866972,0.0000075411062,0.0000031472514,0.000012903447,0.000015473272,0.0000057293114,0.0005724249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999279,0.000015833755,0.000003859536,0.000019842393,0.00001810976,0.000014537092],"domain_scores_gemma":[0.9999138,0.000021080265,0.000019653971,0.000008867226,0.000023066785,0.000013455917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022192913,0.0004249004,0.00026951282,0.00014415164,0.00029633488,0.0005281229,0.00035098876,0.00018945729,0.0009566497],"category_scores_gemma":[0.00024290376,0.00012076406,0.00012790045,0.00012803638,0.00021676344,0.00029939675,0.00038031556,0.00024595784,0.00013778529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003883577,0.00016120076,0.0031843155,0.0001031917,0.000050490282,0.0002261825,0.00013029088,0.91348374,0.015799362,0.0016213617,0.0013920708,0.06345943],"study_design_scores_gemma":[0.000017143127,0.000066883105,0.0007705567,0.0000025570716,0.0000078091925,0.0000111555755,0.000023633793,0.9958669,0.0024230299,0.0003531875,0.00045328485,0.0000039846786],"about_ca_topic_score_codex":0.004274223,"about_ca_topic_score_gemma":0.005789159,"teacher_disagreement_score":0.004274223,"about_ca_system_score_codex":0.0003503885,"about_ca_system_score_gemma":0.00037819904,"threshold_uncertainty_score":0.008498669},"labels":[],"label_agreement":null},{"id":"W4413911250","doi":"10.3390/en18174663","title":"Integrated Experimental and Numerical Investigation on CO2-Based Cyclic Solvent Injection Enhanced by Water and Nanoparticle Flooding for Heavy Oil Recovery and CO2 Sequestration","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Water flooding; Enhanced oil recovery; Solvent; Petroleum engineering; Flooding (psychology); Carbon sequestration; Nanoparticle; Chemical engineering; Environmental science; Materials science; Chemistry; Carbon dioxide; Geology; Organic chemistry; Engineering","score_opus":0.010053312277728425,"score_gpt":0.23369307239263196,"score_spread":0.22363976011490352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413911250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869487,0.0005170991,0.010134038,0.000102647355,0.00002847401,0.000035963058,0.00022958097,0.00016588061,0.0018376332],"genre_scores_gemma":[0.99219406,0.00024929197,0.0071254484,0.00001276127,0.0000044263234,0.000036992187,0.000096132244,0.000011529859,0.00026935642],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982905,0.0000130227345,0.000012839751,0.00003165854,0.00008155806,0.000031818632],"domain_scores_gemma":[0.99975115,0.000101473095,0.00004497159,0.000022249456,0.000067853805,0.000012331832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037877707,0.00032161956,0.00041340516,0.00029233226,0.00026096852,0.0003143879,0.0003707844,0.0004343681,0.0007938748],"category_scores_gemma":[0.000598286,0.00014790939,0.00026906788,0.0003541246,0.00046924455,0.00044898083,0.0002837083,0.00043986936,0.00010008176],"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":[0.0002951079,0.00020471649,0.0025284502,0.00053718366,0.000016122929,0.00033805292,0.00014390452,0.046151508,0.93526053,0.0014584749,0.00029447733,0.012771401],"study_design_scores_gemma":[0.000032527685,0.00047665753,0.0020521304,0.000014468803,0.000021952397,0.000059765123,0.00009456752,0.34047318,0.6552902,0.00030760563,0.0011401338,0.00003685441],"about_ca_topic_score_codex":0.002156492,"about_ca_topic_score_gemma":0.0025122175,"teacher_disagreement_score":0.002156492,"about_ca_system_score_codex":0.00034167006,"about_ca_system_score_gemma":0.00034905435,"threshold_uncertainty_score":0.0042878985},"labels":[],"label_agreement":null},{"id":"W4413984151","doi":"10.3390/en18174713","title":"Development of Process Configurations and Simulation of Biofuel Production","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Defence Academy","keywords":"Biofuel; Production (economics); Process (computing); Biochemical engineering; Environmental science; Process engineering; Computer science; Engineering; Waste management; Economics; Microeconomics","score_opus":0.010772777086154898,"score_gpt":0.24344900801404232,"score_spread":0.23267623092788742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413984151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7397758,0.0007740608,0.23020364,0.00032303954,0.00012366234,0.0006088987,0.0030420772,0.0022720932,0.022876818],"genre_scores_gemma":[0.9374002,0.00045503234,0.05888548,0.000022971712,0.000006087792,0.0004068728,0.0013142246,0.00009538943,0.0014138675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968624,0.00008482284,0.000029339719,0.000058313504,0.00009126208,0.000050049053],"domain_scores_gemma":[0.9993175,0.0003532749,0.00006182822,0.00008692476,0.00013853401,0.000041898955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078956306,0.00095243164,0.00063776324,0.0007098445,0.00053566,0.0010986845,0.0010989724,0.0008905847,0.0022905716],"category_scores_gemma":[0.0017276701,0.0005241855,0.00090041274,0.0007984362,0.00043654826,0.0008680504,0.00079095433,0.00070360856,0.0003137723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000813345,0.000056142835,0.0018533693,0.000095549825,0.00001616932,0.000057255776,0.000036520993,0.98684794,0.003137657,0.0015299851,0.00013630088,0.0061518056],"study_design_scores_gemma":[0.000024880139,0.000058877667,0.0002956347,0.000011864992,0.000010048372,0.000013902267,0.00003141472,0.9902203,0.007081429,0.00091341574,0.0013284943,0.000009643062],"about_ca_topic_score_codex":0.0060770703,"about_ca_topic_score_gemma":0.0044104443,"teacher_disagreement_score":0.0060770703,"about_ca_system_score_codex":0.0011382229,"about_ca_system_score_gemma":0.0018340232,"threshold_uncertainty_score":0.012083411},"labels":[],"label_agreement":null},{"id":"W4414116877","doi":"10.3390/en18174780","title":"A Performance Evaluation and Feasibility Study of Mine Thermal Energy Storage in Glace Bay, Nova Scotia","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Dalhousie University","funders":"Nova Scotia Department of Energy; U.S. Department of Energy","keywords":"Nova scotia; Renewable energy; Flexibility (engineering); Thermal energy storage; Greenhouse gas; Sustainability; Heating system; Coal","score_opus":0.02445149634307791,"score_gpt":0.28707825570549866,"score_spread":0.26262675936242075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414116877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939063,0.000046906105,0.00053577474,0.00007019308,0.000008497385,0.00014234659,0.00028873206,0.00003303497,0.0049680476],"genre_scores_gemma":[0.99737155,0.00006004004,0.00073213177,0.000015051479,0.0000014066597,0.000028653758,0.00021587542,0.000005113102,0.0015700883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995566,0.000083540035,0.000027148211,0.00006306612,0.00015042757,0.00011922224],"domain_scores_gemma":[0.99886084,0.00025905878,0.00007008265,0.00008650949,0.0005250748,0.0001983545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009813313,0.00047979984,0.00026410562,0.00038828462,0.0008855032,0.0009143353,0.00059853296,0.00029724996,0.0019458336],"category_scores_gemma":[0.0015761348,0.0001652872,0.00027469106,0.00045058504,0.0006366683,0.0004339737,0.0005949575,0.00030750845,0.00026246268],"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":[0.008199066,0.0032008763,0.28685638,0.0015380097,0.0002886692,0.0067886095,0.002873501,0.38780564,0.15514171,0.0048646936,0.007049306,0.13539363],"study_design_scores_gemma":[0.0010918194,0.010021812,0.45923546,0.0002666766,0.00028222968,0.0008329246,0.015582198,0.39954087,0.09431652,0.0010538538,0.017575314,0.00020032997],"about_ca_topic_score_codex":0.4528775,"about_ca_topic_score_gemma":0.5932195,"teacher_disagreement_score":0.5471225,"about_ca_system_score_codex":0.0054378565,"about_ca_system_score_gemma":0.0043814294,"threshold_uncertainty_score":0.9004829},"labels":[],"label_agreement":null},{"id":"W4414179584","doi":"10.3390/en18184870","title":"Design of a Hybrid Wind and Micro-Hydro System for Sustainable Water Treatment","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Renewable energy; Wind power; Work (physics); Electricity; Resource (disambiguation); Energy security; Fossil fuel; Water quality; Electric power system","score_opus":0.00950109710728064,"score_gpt":0.217782045688239,"score_spread":0.20828094858095836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414179584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.582865,0.0004322787,0.35245344,0.00049476605,0.00016507175,0.00085204263,0.00078154873,0.0028963634,0.059059497],"genre_scores_gemma":[0.9733975,0.00007776617,0.018758178,0.000030721956,0.000005230824,0.00020306736,0.000091266054,0.000036242174,0.0074000945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989235,0.000020071862,0.0000038190506,0.000022593673,0.000034843444,0.000026355798],"domain_scores_gemma":[0.9999386,0.0000119330425,0.000007601963,0.0000051085954,0.000021392514,0.00001534093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014817153,0.0003950773,0.0004686724,0.00029223194,0.0007898836,0.00075194775,0.0008280026,0.0005656753,0.005396934],"category_scores_gemma":[0.00013484983,0.000299915,0.00046275483,0.00016022802,0.00033393074,0.00033032306,0.00040325813,0.00031850627,0.00064227835],"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":[0.00029446863,0.00017131411,0.0027952995,0.00021386772,0.00007733973,0.00049830414,0.00014163052,0.921379,0.042477842,0.002370717,0.0016848362,0.027895367],"study_design_scores_gemma":[0.00008795575,0.0002968597,0.0012746177,0.000011940991,0.00003659973,0.000051872565,0.00007522343,0.98729056,0.0068754014,0.0004230874,0.0035547065,0.000021149115],"about_ca_topic_score_codex":0.0155960955,"about_ca_topic_score_gemma":0.023313006,"teacher_disagreement_score":0.0155960955,"about_ca_system_score_codex":0.0008073097,"about_ca_system_score_gemma":0.0011767901,"threshold_uncertainty_score":0.031010628},"labels":[],"label_agreement":null},{"id":"W4414239958","doi":"10.3390/en18184920","title":"Review of Triply Periodic Minimal Surface (TPMS) Structures for Cooling Heat Sinks","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heat sink; Multiphysics; Coolant; Thermal conductivity; Heat transfer; Thermal; Heat exchanger; Heat spreader; Forced convection; Thermal conduction","score_opus":0.00948778963069121,"score_gpt":0.2449170355517695,"score_spread":0.23542924592107828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414239958","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":[0.0012700006,0.991735,0.0035867305,0.00015732978,0.00036564714,0.00001683103,0.000036291323,0.000026608484,0.0028056041],"genre_scores_gemma":[0.009043491,0.98327523,0.0048866626,0.0002005485,0.00032952192,0.000054663757,0.00010194454,0.000024836581,0.002083186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997366,0.000036771755,0.00003514878,0.00007477375,0.00008676339,0.00002993086],"domain_scores_gemma":[0.9997706,0.000112761736,0.00004131036,0.0000128580305,0.00004804303,0.000014404266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050275563,0.0010270273,0.0010968398,0.0013287214,0.00033643696,0.00082200515,0.0009546635,0.00094956765,0.0035903547],"category_scores_gemma":[0.0005200342,0.00074401085,0.0008180903,0.0016983707,0.00039353565,0.0012805089,0.0005741144,0.0010659737,0.001518579],"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":[0.00014160409,0.00014380387,0.00031599478,0.054998517,0.00026944614,0.00027742458,0.00015129587,0.007215328,0.03525154,0.031440586,0.026920192,0.8428743],"study_design_scores_gemma":[0.000017623568,0.00034197135,0.0005080212,0.0016198073,0.000167936,0.00071748317,0.00005572712,0.0018776837,0.01202383,0.002785607,0.97983974,0.000044569577],"about_ca_topic_score_codex":0.0005023755,"about_ca_topic_score_gemma":0.0006584539,"teacher_disagreement_score":0.0035903547,"about_ca_system_score_codex":0.00038032173,"about_ca_system_score_gemma":0.00055359886,"threshold_uncertainty_score":0.012010872},"labels":[],"label_agreement":null},{"id":"W4414305030","doi":"10.3390/en18184931","title":"Laboratory Investigation of Heterogeneous Metamorphic Rocks and Their Spatial Distribution of Thermal Conductivity","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre de Géomatique du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Thermal conductivity; Thermal conduction; Geothermal gradient; Heat transfer; Thermal conductivity measurement; Thermal contact conductance; Thermal; Thermal transmittance","score_opus":0.010157154241508252,"score_gpt":0.20994572819218457,"score_spread":0.1997885739506763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414305030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624205,0.000021932792,0.0031444973,0.0000053281037,0.0000018252757,0.000016035176,0.000106499996,0.00002154816,0.00044037274],"genre_scores_gemma":[0.9969267,0.00002641902,0.002700141,0.00000511345,0.0000015796211,0.000025370364,0.00008652094,0.0000070830306,0.00022117865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997843,0.00001979549,0.0000130923445,0.00008746566,0.000068383044,0.000026996422],"domain_scores_gemma":[0.9997547,0.000058569705,0.00005101121,0.00003134481,0.00008793637,0.00001644635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023936486,0.00022547715,0.00018714515,0.00022430984,0.00030066996,0.00030467488,0.00025464853,0.00019510053,0.00045125987],"category_scores_gemma":[0.00039585924,0.000120669894,0.00016328368,0.00023654143,0.00042706841,0.00015821883,0.00021985757,0.0002355258,0.00008204644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009442583,0.000085273685,0.0104038,0.00003497373,0.000011801344,0.00009722906,0.0001854553,0.0020705399,0.98440313,0.00010818534,0.000036004476,0.0024691804],"study_design_scores_gemma":[0.000019680638,0.00058023044,0.048825774,0.00000865473,0.000038860453,0.00020039419,0.00045403838,0.011565696,0.9373596,0.00010167936,0.0008289534,0.000016393637],"about_ca_topic_score_codex":0.003308469,"about_ca_topic_score_gemma":0.004879667,"teacher_disagreement_score":0.003308469,"about_ca_system_score_codex":0.00026006813,"about_ca_system_score_gemma":0.00019882392,"threshold_uncertainty_score":0.0065784454},"labels":[],"label_agreement":null},{"id":"W4414475469","doi":"10.3390/en18195076","title":"Smart Grid Systems: Addressing Privacy Threats, Security Vulnerabilities, and Demand–Supply Balance (A Review)","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"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":"Smart grid; Differential privacy; Information privacy; Smart meter; Key (lock); Cryptography; Blackout; The Internet; Renewable energy; Grid","score_opus":0.010412528539079365,"score_gpt":0.24270515715586405,"score_spread":0.23229262861678468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414475469","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":[0.00075039035,0.99080175,0.0016681752,0.0012082555,0.0003169029,0.000026242364,0.000059817605,0.000019183217,0.0051493715],"genre_scores_gemma":[0.0060217762,0.99140877,0.001074648,0.00040928397,0.00025492444,0.00002099171,0.00006198464,0.0000040131295,0.000743565],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951375,0.00010573753,0.00007507974,0.000071730465,0.00019381176,0.000039918228],"domain_scores_gemma":[0.9985285,0.0010008507,0.00015476854,0.000036127894,0.0002485321,0.000031211985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008045201,0.000952311,0.00092125405,0.0019569593,0.0003865589,0.0019236717,0.00071981177,0.0013843053,0.004070072],"category_scores_gemma":[0.0019405411,0.00038097598,0.00081455056,0.0029110666,0.00047888124,0.0027680488,0.0007147105,0.0010672244,0.000914425],"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":[0.00004889533,0.00009673201,0.0006698747,0.044996932,0.00018591747,0.00030060278,0.0002586472,0.003437793,0.0011753954,0.039308462,0.030953456,0.8785673],"study_design_scores_gemma":[0.000013435159,0.00020984141,0.0013111632,0.013307388,0.00028405953,0.0009322968,0.00030683004,0.0013154221,0.00081980217,0.012444491,0.9690103,0.00004495456],"about_ca_topic_score_codex":0.0019990373,"about_ca_topic_score_gemma":0.0026558202,"teacher_disagreement_score":0.004070072,"about_ca_system_score_codex":0.00069258094,"about_ca_system_score_gemma":0.0019307155,"threshold_uncertainty_score":0.013615727},"labels":[],"label_agreement":null},{"id":"W4414512500","doi":"10.3390/en18195100","title":"The Viability of Green Hydrogen for Electric Power Generation: Evaluating Current Practicability and Future Demand","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Natural gas; Electricity; Context (archaeology); Electricity generation; Energy carrier; Hydrogen; Power to gas; Electric power; Hydrogen fuel; Energy transition","score_opus":0.01999806739293388,"score_gpt":0.31138433955054673,"score_spread":0.29138627215761287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414512500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8463451,0.004210839,0.00508735,0.013625932,0.0000730266,0.00018365242,0.001757826,0.000050931365,0.12866542],"genre_scores_gemma":[0.9938159,0.0020237733,0.0014887211,0.00014088699,0.000015354832,0.000017289141,0.00033287657,0.00001095779,0.0021541282],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809164,0.00039094116,0.000042990796,0.00014096839,0.0010058722,0.00032764758],"domain_scores_gemma":[0.99192953,0.003135167,0.0005522227,0.00026320672,0.0037331616,0.00038670254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033378822,0.0003096649,0.00032326294,0.00073334883,0.0009315233,0.004116115,0.0015473976,0.0009727496,0.003925474],"category_scores_gemma":[0.0105917,0.00023908065,0.00035464388,0.0016642,0.0017958593,0.003662532,0.0007802671,0.0007386837,0.00040895006],"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":[0.0022432464,0.00061454286,0.3093148,0.0029585361,0.00025788846,0.003770864,0.009060659,0.12372511,0.0134135345,0.17983341,0.025421737,0.32938564],"study_design_scores_gemma":[0.00022903939,0.0015965939,0.29321772,0.001664946,0.0003722684,0.0005917263,0.094025195,0.2650507,0.017746592,0.072553806,0.25257367,0.00037772063],"about_ca_topic_score_codex":0.4482506,"about_ca_topic_score_gemma":0.66726506,"teacher_disagreement_score":0.4482506,"about_ca_system_score_codex":0.01942991,"about_ca_system_score_gemma":0.009598028,"threshold_uncertainty_score":0.891283},"labels":[],"label_agreement":null},{"id":"W4414542671","doi":"10.3390/en18195128","title":"Computational Analysis of the Effects of Power on the Electromagnetic Characteristics of Microwave Systems with Plasma","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Sudbury","funders":"","keywords":"Microwave; Plasma; Upgrade; Power (physics); Electric field; Scaling; Electromagnetic field; Reflection coefficient; Reflection (computer programming)","score_opus":0.0031727121513207023,"score_gpt":0.22200982619874093,"score_spread":0.21883711404742023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414542671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89276785,0.00029630947,0.08347673,0.0009306792,0.00006506858,0.000104842,0.0004266026,0.00024015056,0.021691773],"genre_scores_gemma":[0.9823997,0.00009479918,0.014707612,0.00008962371,0.00001841473,0.00009860263,0.00018236584,0.00004358166,0.0023652392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998771,0.00003957168,0.000004430235,0.000017872657,0.000029325174,0.00003174396],"domain_scores_gemma":[0.9987306,0.0010002255,0.000099116616,0.00005089266,0.00007543804,0.00004365894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004760367,0.00039282948,0.00057250593,0.000377861,0.0006386242,0.0009191551,0.0006619548,0.0012375189,0.002460143],"category_scores_gemma":[0.0022378338,0.00037563045,0.00059248006,0.0003503023,0.0008857665,0.0006154346,0.00053654076,0.00063273724,0.00020079153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002753232,0.000025456677,0.000697691,0.000023581802,0.000008203543,0.000041903055,0.000014409232,0.99675214,0.0004766827,0.0009223976,0.00012299209,0.0008869012],"study_design_scores_gemma":[0.0000047558974,0.00001119088,0.00014503673,0.0000016628762,0.000002039706,0.0000062010317,0.000010226747,0.99937016,0.00015152118,0.00022190563,0.00007364719,0.0000017220267],"about_ca_topic_score_codex":0.0075917128,"about_ca_topic_score_gemma":0.0051002926,"teacher_disagreement_score":0.0075917128,"about_ca_system_score_codex":0.0007582642,"about_ca_system_score_gemma":0.0010261964,"threshold_uncertainty_score":0.015095055},"labels":[],"label_agreement":null},{"id":"W4414543369","doi":"10.3390/en18195130","title":"Electricity Supply Systems for First Nations Communities in Remote Australia: Evidence, Consumer Protections and Pathways to Energy Equity","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Mains electricity; Government (linguistics); Workforce; Equity (law); Work (physics); Workforce development; Renewable energy","score_opus":0.05179109305807535,"score_gpt":0.2891236572444619,"score_spread":0.2373325641863865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414543369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964631,0.0038092735,0.00070850423,0.0057569845,0.000026029178,0.000068975096,0.00017137988,0.000006785559,0.024821008],"genre_scores_gemma":[0.9971692,0.0014995971,0.00023658438,0.00026306225,0.0000073626093,0.000016364598,0.000037539903,0.000002110268,0.00076817593],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980724,0.0008426444,0.0001346124,0.00015698285,0.00045723782,0.00033619083],"domain_scores_gemma":[0.99097013,0.003540975,0.0023206787,0.00044889748,0.0018975631,0.00082164514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002402836,0.00014254027,0.00021680517,0.0010475402,0.0011862823,0.0016235288,0.0006492507,0.00050954224,0.0035180317],"category_scores_gemma":[0.012702598,0.00018652236,0.00022497638,0.0012615871,0.0023524258,0.0022107172,0.0030839853,0.001150001,0.00015481444],"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":[0.0001759744,0.00041659438,0.6387337,0.0035817989,0.00022379051,0.0022102606,0.070769854,0.0010042591,0.000878673,0.03711007,0.004048037,0.2408469],"study_design_scores_gemma":[0.000018734661,0.00028268332,0.887184,0.003232882,0.00012446937,0.00061692455,0.068513945,0.0010997932,0.0005878174,0.0052832426,0.033019513,0.000036012058],"about_ca_topic_score_codex":0.09486268,"about_ca_topic_score_gemma":0.18369974,"teacher_disagreement_score":0.09486268,"about_ca_system_score_codex":0.0027381682,"about_ca_system_score_gemma":0.004837022,"threshold_uncertainty_score":0.18862104},"labels":[],"label_agreement":null},{"id":"W4414545117","doi":"10.3390/en18195123","title":"Identification Method for Wideband Oscillation Parameters Caused by Grid-Forming Renewable Energy Sources Based on Multiple Matching Synchrosqueezing Transformation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"Natural Science Foundation of Hubei Province","keywords":"Hilbert–Huang transform; Low-frequency oscillation; Oscillation (cell signaling); Robustness (evolution); Wideband; Hilbert transform; Control theory (sociology); Instantaneous phase; Transformation (genetics)","score_opus":0.007589236282141154,"score_gpt":0.26504358155585106,"score_spread":0.2574543452737099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414545117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014456868,0.000075516524,0.984665,0.00002843314,0.000018664772,0.000021132577,0.00001720132,0.00019596054,0.0005212094],"genre_scores_gemma":[0.70275956,0.00035183507,0.29449177,0.000044834334,0.000039510356,0.00009530303,0.00018089684,0.00007103804,0.0019653218],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982566,0.000029617846,0.000014697918,0.000046939775,0.000072220435,0.000010950235],"domain_scores_gemma":[0.99981195,0.00006565398,0.00004104589,0.000018068211,0.000056660618,0.000006715424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003086513,0.00052590785,0.00037417782,0.00054105284,0.00026347686,0.00040058146,0.00032094508,0.00036050772,0.0009775674],"category_scores_gemma":[0.0009930771,0.00016781525,0.00041868433,0.00044231376,0.00021482115,0.00060887565,0.00039657857,0.00042514977,0.00027560108],"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":[0.00021621602,0.00007144498,0.004745192,0.00026792238,0.00007873726,0.00029625677,0.00028902755,0.18341093,0.10473337,0.01076641,0.0016196558,0.69350487],"study_design_scores_gemma":[0.000011102757,0.00005593724,0.0017274518,0.0000126933455,0.000019946328,0.0002216614,0.00004270971,0.9833597,0.010409309,0.002245679,0.0018782885,0.000015597634],"about_ca_topic_score_codex":0.00090730976,"about_ca_topic_score_gemma":0.00090161123,"teacher_disagreement_score":0.0009775674,"about_ca_system_score_codex":0.00015695048,"about_ca_system_score_gemma":0.0002850561,"threshold_uncertainty_score":0.003270328},"labels":[],"label_agreement":null},{"id":"W4414548532","doi":"10.3390/en18195118","title":"Analyzing the Transient Heat Transfer Characteristics of a Drain Water Heat Recovery Device","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transient (computer programming); Thermal; Inertia; Heat transfer; Thermal inertia; Steady state (chemistry); Heat recovery ventilation; Transient response","score_opus":0.006536830317889282,"score_gpt":0.19958381173555526,"score_spread":0.19304698141766596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414548532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97717196,0.00031577318,0.019638665,0.00009754753,0.000035691803,0.000029837349,0.00017013516,0.00032666497,0.0022137908],"genre_scores_gemma":[0.99813914,0.000056602024,0.001008653,0.000008402083,0.0000024307005,0.000008106477,0.000049467948,0.000009979556,0.000717203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999863,0.000014601313,0.00000639708,0.000032364536,0.000052487558,0.000031067848],"domain_scores_gemma":[0.99978596,0.00012873903,0.000020331065,0.000022399243,0.000034533357,0.000007940165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022472918,0.00022425636,0.00040400538,0.0003114179,0.00023701866,0.0003868662,0.0003913937,0.00032857707,0.0017263801],"category_scores_gemma":[0.0004596011,0.00011754143,0.00032855858,0.00027908,0.00033804486,0.0005107864,0.00020570279,0.0003217542,0.00027623057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007897874,0.00015763918,0.006002521,0.00047883525,0.000041047726,0.0003695816,0.0004386804,0.03326353,0.92400044,0.001135641,0.00079992216,0.032522418],"study_design_scores_gemma":[0.000030313791,0.001105527,0.012849047,0.000025996698,0.00004224376,0.00023348015,0.00037436947,0.29402223,0.6876499,0.00038140605,0.003231381,0.000054177282],"about_ca_topic_score_codex":0.0007384838,"about_ca_topic_score_gemma":0.0006440191,"teacher_disagreement_score":0.0017263801,"about_ca_system_score_codex":0.0004590818,"about_ca_system_score_gemma":0.0001307925,"threshold_uncertainty_score":0.0057753325},"labels":[],"label_agreement":null},{"id":"W4414553007","doi":"10.3390/en18195116","title":"MPC Design and Comparative Analysis of Single-Phase 7-Level PUC and 9-Level CSC Inverters for Grid Integration of PV Panels","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Hydro-Québec","funders":"Saint Joseph University","keywords":"Photovoltaic system; Booster (rocketry); Maximum power point tracking; Robustness (evolution); Inverter; Grid; Voltage; Converters","score_opus":0.13268351024320962,"score_gpt":0.3011790644120411,"score_spread":0.1684955541688315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414553007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3355656,0.001197703,0.62824166,0.00021590358,0.00009701014,0.00016769028,0.00017357689,0.0010779048,0.033262935],"genre_scores_gemma":[0.98755556,0.000112872316,0.011401668,0.000009982776,0.0000058238907,0.000027935646,0.00004422724,0.000010854312,0.00083119073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983263,0.00002058279,0.000006240972,0.000024734043,0.00010017021,0.00001572721],"domain_scores_gemma":[0.9998627,0.000032048232,0.000024058612,0.00001609511,0.000057339348,0.000007813191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002243278,0.0002581762,0.00031155924,0.00020782204,0.00022628244,0.00049094536,0.00050491025,0.00029291114,0.0023718353],"category_scores_gemma":[0.00033563288,0.00012381015,0.0002761982,0.00022399888,0.00011736302,0.0002776924,0.00017612554,0.00036889335,0.0002806037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031728976,0.00022201386,0.0026146441,0.00054328307,0.00010165697,0.00018751365,0.000105449275,0.73956615,0.049166147,0.007005433,0.0016744243,0.19849604],"study_design_scores_gemma":[0.0000114857785,0.00019875828,0.0008579683,0.0000065503873,0.000025682346,0.000028200004,0.000012300745,0.98834616,0.008739196,0.00036989406,0.0013998257,0.000003943969],"about_ca_topic_score_codex":0.0019194841,"about_ca_topic_score_gemma":0.002568657,"teacher_disagreement_score":0.0023718353,"about_ca_system_score_codex":0.0003958664,"about_ca_system_score_gemma":0.00039071485,"threshold_uncertainty_score":0.00793463},"labels":[],"label_agreement":null},{"id":"W4414592846","doi":"10.3390/en18195139","title":"Enhancing Rural Energy Resilience Through Combined Agrivoltaic and Bioenergy Systems: A Case Study of a Real Small-Scale Farm in Southern Italy","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Emera; European Regional Development Fund; Regione Basilicata","keywords":"Photovoltaic system; Bioenergy; Resilience (materials science); Agriculture; Biomass (ecology); Payback period; Energy independence; Life-cycle assessment; Greenhouse gas; Reduction (mathematics)","score_opus":0.006348113383736245,"score_gpt":0.22549094214592397,"score_spread":0.2191428287621877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414592846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99685955,0.000037388858,0.0010302755,0.00006761853,0.0000037906489,0.000029982428,0.0000910128,0.00004283221,0.0018375793],"genre_scores_gemma":[0.99770445,0.000043511627,0.0013000926,0.00000870504,0.0000024592384,0.000021605405,0.000078070516,0.000009404453,0.0008316851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99980515,0.000060422102,0.0000071947175,0.00003667009,0.00003115503,0.000059531198],"domain_scores_gemma":[0.9997632,0.00010347847,0.00003311224,0.000027252638,0.000033254208,0.00003966722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038723112,0.0005667466,0.00040312187,0.000487021,0.0005676356,0.0008497856,0.0007867564,0.00080134446,0.00148955],"category_scores_gemma":[0.0005018883,0.00020454884,0.000484878,0.0008090197,0.0005757372,0.00049069413,0.0005641946,0.00028913908,0.0002291667],"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":[0.0008556665,0.001232245,0.09842075,0.00040143257,0.00019596632,0.011406156,0.0010752204,0.8068832,0.03407423,0.0022501056,0.0023081857,0.040896796],"study_design_scores_gemma":[0.00041986667,0.0026442353,0.22376442,0.00006840487,0.00023578614,0.001124157,0.0064722854,0.7434123,0.010124714,0.0022404157,0.009368779,0.00012462177],"about_ca_topic_score_codex":0.01767219,"about_ca_topic_score_gemma":0.033217657,"teacher_disagreement_score":0.01767219,"about_ca_system_score_codex":0.001385381,"about_ca_system_score_gemma":0.00057945924,"threshold_uncertainty_score":0.035138607},"labels":[],"label_agreement":null},{"id":"W4414609119","doi":"10.3390/en18195151","title":"Optimized Biogas Yield and Safe Digestate Valorization Through Intensified Anaerobic Digestion of Invasive Plant Biomass","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de La Pocatiere; Cégep de Rivière-du-Loup; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Digestate; Biogas; Anaerobic digestion; Biomass (ecology); Biofuel; Bioprocess; Phragmites; Renewable energy","score_opus":0.01315389217170376,"score_gpt":0.208053871600098,"score_spread":0.19489997942839424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414609119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944397,0.0008271233,0.003232123,0.000036030946,0.000010788009,0.000024633033,0.00022378047,0.000044004937,0.0011619254],"genre_scores_gemma":[0.9928351,0.0007343763,0.0047579445,0.000019104888,0.000002338155,0.000028792687,0.00027187687,0.000020139276,0.0013302239],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990165,0.000009092002,0.000008570781,0.000025673766,0.000027373428,0.000027583937],"domain_scores_gemma":[0.9999633,0.00000568857,0.000009762956,0.0000027592596,0.0000097781995,0.000008672114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018858821,0.0004233414,0.00029289632,0.00028872618,0.00013413065,0.0004409048,0.00017637106,0.00021941004,0.00049438333],"category_scores_gemma":[0.00012300677,0.00012427974,0.00027984736,0.0002544117,0.000117267045,0.000296455,0.0003048036,0.0004209288,0.00016390171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050191586,0.00002413479,0.00026423173,0.00006559509,0.00000439978,0.000051961342,0.000015349155,0.00018736623,0.9967141,0.00003763746,0.00001993407,0.002565071],"study_design_scores_gemma":[0.000010718265,0.00029157457,0.0074196286,0.000017946,0.000030034184,0.00010376235,0.00007550204,0.0026579928,0.9870962,0.0000594008,0.0022257837,0.000011444918],"about_ca_topic_score_codex":0.0010666476,"about_ca_topic_score_gemma":0.0032126051,"teacher_disagreement_score":0.0010666476,"about_ca_system_score_codex":0.00017142929,"about_ca_system_score_gemma":0.00025599473,"threshold_uncertainty_score":0.0021208525},"labels":[],"label_agreement":null},{"id":"W4414793528","doi":"10.3390/en18195255","title":"Modeling the Duration of Electricity Price Spikes Using Survival Analysis","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Duration (music); Bidding; Electricity market; Market price; Electricity price; Electricity; Spike (software development); Nonparametric statistics; Time series","score_opus":0.00933760819621247,"score_gpt":0.22460042378103998,"score_spread":0.21526281558482752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414793528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48430157,0.00071427284,0.50851196,0.0007912971,0.00006305362,0.00011638398,0.0013996032,0.00042551075,0.0036764077],"genre_scores_gemma":[0.984544,0.0003011279,0.012049252,0.00005466585,0.000037722257,0.000099563265,0.00068794336,0.000038780603,0.0021869582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926203,0.00022196333,0.000049939055,0.00020278915,0.00012320234,0.00014012636],"domain_scores_gemma":[0.9898651,0.007176075,0.001712046,0.0005079162,0.00049807964,0.00024070503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044302708,0.0007320505,0.0007328828,0.0014312344,0.00033440767,0.0013535107,0.0013423427,0.0014227472,0.002262203],"category_scores_gemma":[0.015386017,0.00046041142,0.0010113062,0.0015006027,0.00096350786,0.0016722583,0.0012036246,0.0015654794,0.00035206822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015005184,0.00009152598,0.034853037,0.00010346535,0.00013910733,0.0002638877,0.00045444962,0.8896098,0.0015945632,0.051672596,0.0010725948,0.01999487],"study_design_scores_gemma":[0.0000056744084,0.000033495027,0.0036160697,0.0000113582855,0.000018251752,0.000040794304,0.00005091304,0.98389935,0.0001876103,0.011757844,0.00036222217,0.000016430095],"about_ca_topic_score_codex":0.0084216455,"about_ca_topic_score_gemma":0.005370548,"teacher_disagreement_score":0.0084216455,"about_ca_system_score_codex":0.0010672163,"about_ca_system_score_gemma":0.00070192287,"threshold_uncertainty_score":0.023429751},"labels":[],"label_agreement":null},{"id":"W4414917643","doi":"10.3390/en18195293","title":"Bridging Bioenergy and Artificial Intelligence for Sustainable Technological Synergies","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","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":"Dalhousie University","funders":"Killam Trusts; Dalhousie University","keywords":"Bioenergy; Bridging (networking); Renewable energy; Raw material; Sustainable energy; Biofuel; Renewable resource","score_opus":0.01768200493544117,"score_gpt":0.29498153605711086,"score_spread":0.2772995311216697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414917643","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":[0.036054995,0.17267564,0.248337,0.1648161,0.0039552487,0.00015646705,0.00019858484,0.00062164356,0.3731842],"genre_scores_gemma":[0.705536,0.12279476,0.12768793,0.0139021175,0.0032582807,0.0003105073,0.0002644221,0.0001560798,0.026089841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989311,0.0004273312,0.000051775438,0.000120753924,0.0003454851,0.00012358594],"domain_scores_gemma":[0.9976888,0.0015936322,0.000102497004,0.00026430658,0.00021585761,0.0001349067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028916798,0.0007447774,0.00057650264,0.0011937073,0.0006851432,0.005745306,0.0011111181,0.002340679,0.0062085576],"category_scores_gemma":[0.003101588,0.00027845913,0.00040578164,0.0010071635,0.0049883793,0.009931289,0.004735497,0.0032413874,0.0013869168],"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":[0.00004048722,0.000075808064,0.00031365937,0.0006595077,0.000053538526,0.00015064333,0.0003518468,0.005002638,0.0019805082,0.8934402,0.008214825,0.08971638],"study_design_scores_gemma":[0.000011242784,0.000041768224,0.00020126124,0.00043285562,0.000017900997,0.000086390166,0.00035578012,0.008202046,0.0012313499,0.89449024,0.094907224,0.000021930708],"about_ca_topic_score_codex":0.00056131417,"about_ca_topic_score_gemma":0.00079388346,"teacher_disagreement_score":0.0062085576,"about_ca_system_score_codex":0.0014779373,"about_ca_system_score_gemma":0.0021232176,"threshold_uncertainty_score":0.020769715},"labels":[],"label_agreement":null},{"id":"W4414959713","doi":"10.3390/en18195310","title":"Evaluation of Development Performance and Adjustment Strategies for High Water-Cut Reservoirs Based on Flow Diagnostics: Application in the QHD Oilfield","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Infill; Oil field; Oil production; Drilling fluid; Reservoir engineering; Displacement (psychology); Flow (mathematics); Artificial lift","score_opus":0.020300407331855574,"score_gpt":0.277873721427009,"score_spread":0.25757331409515344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414959713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96070784,0.00014690915,0.037655085,0.000063108426,0.000007720125,0.00011699323,0.00007708262,0.00024753177,0.0009776899],"genre_scores_gemma":[0.988785,0.00005473007,0.01091837,0.000004999964,8.635518e-7,0.000019724426,0.000025561965,0.000006067789,0.0001846314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955434,0.00010755831,0.000028460516,0.000072996416,0.00016783531,0.00006875374],"domain_scores_gemma":[0.9990858,0.00038584197,0.00018133146,0.00006332588,0.00022224039,0.0000614626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013770445,0.0007966263,0.00043990646,0.00091799593,0.0003189715,0.00066983385,0.0005171467,0.00058180845,0.0005362199],"category_scores_gemma":[0.002086012,0.0002243556,0.00025462985,0.0004571224,0.00035257573,0.0007542166,0.00053291844,0.00029868056,0.000066640416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001021303,0.0010054519,0.048039824,0.00044570304,0.000051284864,0.00049884064,0.00039472905,0.5626561,0.15900193,0.001767493,0.00046571967,0.22465171],"study_design_scores_gemma":[0.000054207798,0.0012862275,0.01433473,0.000018849914,0.000035131947,0.00005873436,0.00023470612,0.8696237,0.113307826,0.00038029227,0.00061142404,0.00005408273],"about_ca_topic_score_codex":0.0066911206,"about_ca_topic_score_gemma":0.006555111,"teacher_disagreement_score":0.0066911206,"about_ca_system_score_codex":0.0011019637,"about_ca_system_score_gemma":0.0010739439,"threshold_uncertainty_score":0.013304353},"labels":[],"label_agreement":null},{"id":"W4415029529","doi":"10.3390/en18195327","title":"Higher-Order Dynamic Mode Decomposition to Identify Harmonics in Power Systems","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Harmonics; Electric power system; Microgrid; Power electronics; Fourier transform; Fast Fourier transform; Harmonic; Renewable energy; Power (physics)","score_opus":0.005279857568700018,"score_gpt":0.3458169163373302,"score_spread":0.34053705876863016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415029529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020339815,0.00019676315,0.97830576,0.00003479544,0.000021776592,0.000024125531,0.000055113775,0.00027537628,0.0007463998],"genre_scores_gemma":[0.49307504,0.0005359004,0.50380003,0.000041723644,0.00005041359,0.0000747803,0.00031796726,0.00010984207,0.0019943211],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986565,0.00003183175,0.00000785321,0.000024041185,0.000058709815,0.000011788289],"domain_scores_gemma":[0.99974936,0.00012296808,0.000034902678,0.000031558986,0.000051171435,0.000010111968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030498553,0.00046672128,0.00024513097,0.0007378043,0.00015556958,0.00032721536,0.00023022186,0.00025803273,0.0014327604],"category_scores_gemma":[0.000948478,0.00012885958,0.00032726026,0.00057654333,0.00018165351,0.00040345808,0.00025561158,0.00045582635,0.00031096724],"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":[0.00016411454,0.00012425889,0.0031056895,0.00024076227,0.000074651776,0.00017228474,0.000261808,0.2309837,0.10266181,0.013567917,0.001924711,0.64671826],"study_design_scores_gemma":[0.0000048380775,0.000038304206,0.0020763048,0.000010267756,0.000008050634,0.00007508531,0.000029862797,0.986007,0.0069022668,0.0032277561,0.0016102153,0.000010190009],"about_ca_topic_score_codex":0.0014061754,"about_ca_topic_score_gemma":0.0014807386,"teacher_disagreement_score":0.0014327604,"about_ca_system_score_codex":0.00015371914,"about_ca_system_score_gemma":0.00022205296,"threshold_uncertainty_score":0.0047929883},"labels":[],"label_agreement":null},{"id":"W4415208989","doi":"10.3390/en18205423","title":"Trust, Equity, Transparency and Inclusion in Nuclear Energy Governance: Empirical Synthesis of the Q-NPT Framework","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Transparency (behavior); Corporate governance; Legitimacy; Stakeholder; Empirical research; Energy transition; Conceptual framework; Adaptability; Stakeholder engagement","score_opus":0.020107773404150573,"score_gpt":0.3467517401135215,"score_spread":0.3266439667093709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415208989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45153508,0.008215958,0.26822358,0.047156155,0.00020390346,0.00060695986,0.00050359085,0.000058634483,0.22349602],"genre_scores_gemma":[0.99428624,0.0005963466,0.0043800585,0.00023513359,0.000018179966,0.0001166031,0.0000333304,0.000011232379,0.000322845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.981177,0.01401108,0.0006951649,0.0010847754,0.0022761433,0.00075584254],"domain_scores_gemma":[0.9001574,0.08542681,0.0070421565,0.0027510198,0.0037992212,0.0008234426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027934162,0.00049118104,0.0006894772,0.0029330659,0.0022241424,0.0055247433,0.0009357932,0.0016550338,0.0060603847],"category_scores_gemma":[0.052200984,0.00027466513,0.000664271,0.0049124705,0.015450128,0.0101992,0.0066759284,0.0025943555,0.00021229505],"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":[0.000032340122,0.000055818804,0.008166169,0.00042691466,0.000045783247,0.00015169101,0.016418776,0.0020303794,0.00008581166,0.9451446,0.00054497144,0.026896898],"study_design_scores_gemma":[0.000023707846,0.00006634278,0.014235022,0.0013889119,0.00006792007,0.00012939534,0.035048872,0.011152533,0.00030299628,0.92084837,0.01670261,0.00003338579],"about_ca_topic_score_codex":0.00504405,"about_ca_topic_score_gemma":0.0039096484,"teacher_disagreement_score":0.027934162,"about_ca_system_score_codex":0.0073388964,"about_ca_system_score_gemma":0.0067020664,"threshold_uncertainty_score":0.14773172},"labels":[],"label_agreement":null},{"id":"W4415209017","doi":"10.3390/en18205421","title":"A Data-Driven Decision-Making Tool for Prioritizing Resilience Strategies in Cold-Climate Urban Neighborhoods","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Resilience (materials science); Probabilistic logic; Prioritization; Component (thermodynamics); Urban resilience; Extreme weather; Energy (signal processing); Psychological resilience","score_opus":0.00853386597997624,"score_gpt":0.2861837507216109,"score_spread":0.27764988474163466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415209017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.108248,0.00025476652,0.84782076,0.0011180143,0.000107929875,0.001585891,0.014937485,0.012882934,0.013044276],"genre_scores_gemma":[0.33172885,0.00014045906,0.6604654,0.00013933014,0.000019928837,0.0014770355,0.005024222,0.00018352961,0.00082123873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711657,0.00119412,0.00042911133,0.00044770047,0.0006613925,0.00015117977],"domain_scores_gemma":[0.9841075,0.011588536,0.0011455138,0.0010189236,0.0016535931,0.00048608368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00784127,0.0016898721,0.0012653671,0.0054744747,0.0009465291,0.0035044644,0.0017688661,0.0011908732,0.007886938],"category_scores_gemma":[0.020982346,0.00068583834,0.0015968834,0.0029660156,0.00055917504,0.0025938954,0.0025397975,0.0012352384,0.0009944803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008731485,0.0010488009,0.02112833,0.0016290213,0.0006292625,0.00073960284,0.001904825,0.63919586,0.006103327,0.034719907,0.012658492,0.2793695],"study_design_scores_gemma":[0.00011873855,0.00018518392,0.0020234997,0.00024505527,0.0000979021,0.000081464335,0.000663812,0.9570274,0.0043052346,0.025162963,0.010008209,0.00008055388],"about_ca_topic_score_codex":0.0074509187,"about_ca_topic_score_gemma":0.014301663,"teacher_disagreement_score":0.007886938,"about_ca_system_score_codex":0.0019061782,"about_ca_system_score_gemma":0.0031980006,"threshold_uncertainty_score":0.041469097},"labels":[],"label_agreement":null},{"id":"W4415210614","doi":"10.3390/en18205368","title":"Enhancing Yazd’s Combined Cycle Power Plant Performance Through Concentrated Solar Power Integration","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Power station; Concentrated solar power; Combined cycle; Electricity generation; Solar power; Power (physics); Rankine cycle; Gas compressor; Base load power plant","score_opus":0.004812154657780601,"score_gpt":0.20119402097523004,"score_spread":0.19638186631744944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415210614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747976,0.00014093715,0.008666027,0.00012757466,0.000023628734,0.000060773702,0.0006162564,0.00015352384,0.01541369],"genre_scores_gemma":[0.9978623,0.00005621331,0.0010471686,0.000008367827,0.0000013230383,0.000011663257,0.00019867164,0.000011461747,0.00080295483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984145,0.000028053262,0.0000048420757,0.000030202396,0.00005595992,0.000039345097],"domain_scores_gemma":[0.99989116,0.00003850154,0.000010401192,0.000012495925,0.00003559595,0.000011786005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000336621,0.00047952775,0.0003870038,0.00031065612,0.00033456457,0.0011679588,0.0006130706,0.00045047892,0.0017175825],"category_scores_gemma":[0.00034219964,0.00023135463,0.00068321225,0.00045320494,0.00031838028,0.0006121058,0.0005981181,0.00045305138,0.0002772041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002608502,0.00010053719,0.01081384,0.000115532566,0.000078043624,0.0003121052,0.000038722115,0.96541035,0.010535112,0.0009670883,0.0007203862,0.010647435],"study_design_scores_gemma":[0.00024044688,0.000721187,0.03297103,0.000034627803,0.0001432359,0.00018483058,0.000493305,0.9432098,0.015936341,0.0012710206,0.0047425907,0.000051665684],"about_ca_topic_score_codex":0.023532681,"about_ca_topic_score_gemma":0.041263707,"teacher_disagreement_score":0.023532681,"about_ca_system_score_codex":0.0014123478,"about_ca_system_score_gemma":0.0008270993,"threshold_uncertainty_score":0.046791434},"labels":[],"label_agreement":null},{"id":"W4415211140","doi":"10.3390/en18205355","title":"Experimental Investigation of Hydraulic Fracturing Damage Mechanisms in the Chang 7 Member Shale Reservoirs, Ordos Basin, China","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Oil shale; Imbibition; Shale oil; Hydraulic fracturing; Tight oil; Unconventional oil; Pore water pressure; Permeability (electromagnetism)","score_opus":0.012298404000729906,"score_gpt":0.2372927128665148,"score_spread":0.2249943088657849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415211140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996655,0.000012041561,0.0001488253,0.0000032062985,7.056211e-7,0.0000062206364,0.000033438926,0.0000033082038,0.00012675855],"genre_scores_gemma":[0.9992872,0.00002854499,0.0003557898,0.000004656794,8.84762e-7,0.000012697809,0.00006811583,0.0000020505424,0.00024005598],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998826,0.000007904875,0.000008497516,0.000024156896,0.0000521885,0.0000246676],"domain_scores_gemma":[0.99983037,0.000022181513,0.00003564022,0.000012826147,0.00006654781,0.000032507625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024608616,0.0002513063,0.0001982012,0.00036043333,0.00043977753,0.00017582855,0.00024141617,0.0002598436,0.00042955024],"category_scores_gemma":[0.00022481984,0.00016414006,0.0001495415,0.00025304029,0.00048612358,0.0002757643,0.00033158134,0.00022297459,0.00004728241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033270995,0.00014973024,0.069201685,0.00012637359,0.00002048584,0.00039274548,0.0005990004,0.0031249158,0.9189213,0.0001327397,0.00007157015,0.0069267554],"study_design_scores_gemma":[0.000037129685,0.0014745133,0.45488304,0.000015294716,0.00005864652,0.00018660679,0.0011306138,0.015796605,0.52517194,0.000122026715,0.0010814304,0.000042164625],"about_ca_topic_score_codex":0.0075010397,"about_ca_topic_score_gemma":0.021007832,"teacher_disagreement_score":0.0075010397,"about_ca_system_score_codex":0.00035403855,"about_ca_system_score_gemma":0.00047838915,"threshold_uncertainty_score":0.014914751},"labels":[],"label_agreement":null},{"id":"W4415211517","doi":"10.3390/en18205348","title":"Inkjet Printing for Batteries and Supercapacitors: State-of-the-Art Developments and Outlook","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Faraday efficiency; Anode; Inkwell; Inkjet printing; Cathode; Current collector; Sintering; Silicon; Supercapacitor; Electrode","score_opus":0.0077894881433663585,"score_gpt":0.21085369256000705,"score_spread":0.2030642044166407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415211517","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":[0.0027889572,0.9870703,0.003393193,0.00042952865,0.0003654684,0.000025165498,0.0001115959,0.0000934402,0.0057223835],"genre_scores_gemma":[0.0066986955,0.98742336,0.0034955482,0.00023556974,0.00023957262,0.000037611448,0.00015442088,0.000023751869,0.0016914469],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994666,0.00006824549,0.00007495745,0.00010622313,0.00021849912,0.00006554973],"domain_scores_gemma":[0.9993862,0.00032523368,0.00006154849,0.00004309856,0.00014871621,0.00003523948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013856118,0.0011616799,0.0012128345,0.0017733417,0.00028993963,0.0016814852,0.00085482356,0.0011823424,0.0034039465],"category_scores_gemma":[0.00082841463,0.00080711505,0.0007142295,0.002424702,0.00055746787,0.0024990838,0.00084130134,0.0018067859,0.002533149],"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":[0.00009203806,0.00016969915,0.00027006926,0.02812594,0.000095123636,0.0005339365,0.00023659397,0.001983501,0.060239077,0.013466823,0.012764038,0.8820232],"study_design_scores_gemma":[0.0000211637,0.00039996678,0.000844922,0.0025881662,0.00012793469,0.0014362797,0.000129632,0.0011190074,0.038554344,0.0051113865,0.9495757,0.00009144685],"about_ca_topic_score_codex":0.00042880911,"about_ca_topic_score_gemma":0.00060335133,"teacher_disagreement_score":0.0034039465,"about_ca_system_score_codex":0.00051573786,"about_ca_system_score_gemma":0.00080911303,"threshold_uncertainty_score":0.011387289},"labels":[],"label_agreement":null},{"id":"W4415212122","doi":"10.3390/en18205359","title":"Analysis and Enhancement of HQT and ENTSO-E Synthetic Inertia Criteria Using the Unison U151 Wind Turbine","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Turbine; Inertia; Control theory (sociology); Rotor (electric); Wind power; Transient (computer programming); Tracking (education); Power (physics); Stability (learning theory)","score_opus":0.008935610688873724,"score_gpt":0.2521061839885859,"score_spread":0.2431705732997122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415212122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28665227,0.00021575873,0.6987242,0.000104760045,0.000059288916,0.00014754427,0.00010101806,0.00044120854,0.013553992],"genre_scores_gemma":[0.97029334,0.00003319668,0.028717995,0.000008583422,0.000008126915,0.0000278394,0.000063523024,0.000026000052,0.0008213125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976295,0.000050382045,0.000021592125,0.00002662488,0.00011569016,0.000022707452],"domain_scores_gemma":[0.99956197,0.0001284599,0.00009445817,0.00004083356,0.00015663364,0.000017504375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049995875,0.00043708747,0.0002593241,0.00044026956,0.00016431465,0.00036273096,0.00033874362,0.00022438384,0.0013950837],"category_scores_gemma":[0.0014372481,0.00010314677,0.0003266235,0.00025554895,0.00021248867,0.000311984,0.00027129686,0.0002661983,0.0001610991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002959843,0.000093099894,0.009968829,0.0003913058,0.000047842983,0.00041231117,0.00016082477,0.7250421,0.06930066,0.016182348,0.0013852556,0.17671946],"study_design_scores_gemma":[0.000011044966,0.00015732046,0.0037790106,0.000009031185,0.0000092876935,0.000070688286,0.000018105702,0.9875567,0.006544529,0.00040636657,0.0014269211,0.000010905903],"about_ca_topic_score_codex":0.0033923797,"about_ca_topic_score_gemma":0.0045148586,"teacher_disagreement_score":0.0033923797,"about_ca_system_score_codex":0.00029185688,"about_ca_system_score_gemma":0.00040264966,"threshold_uncertainty_score":0.006745219},"labels":[],"label_agreement":null},{"id":"W4415230187","doi":"10.3390/en18205439","title":"Transformer-Based Transfer Learning for Battery State-of-Health Estimation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Transfer of learning; Mean squared error; State of health; Battery (electricity); Predictive modelling; Battery capacity","score_opus":0.01490131475152463,"score_gpt":0.2887808043653166,"score_spread":0.273879489613792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415230187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13618402,0.0013220968,0.8548341,0.0004325792,0.00015274885,0.00009970564,0.00035403288,0.0026923015,0.0039285347],"genre_scores_gemma":[0.973498,0.00031380658,0.023058245,0.000107046675,0.00003362599,0.00006874529,0.00043516903,0.000056410765,0.0024289505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981874,0.000040221257,0.000012977781,0.000053574746,0.00004763369,0.000026855654],"domain_scores_gemma":[0.9995447,0.00023870888,0.000038669103,0.000040212766,0.00012369746,0.000014019707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075460225,0.00073409383,0.00062107545,0.0004375394,0.00017904384,0.0005156393,0.0010351958,0.00063607784,0.0013024304],"category_scores_gemma":[0.002817271,0.00023272722,0.00057909265,0.0004895871,0.00034344976,0.00094101875,0.00061232934,0.0010620154,0.0005227991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011388558,0.00008706324,0.0020969831,0.000068557754,0.00004774564,0.000061621206,0.00003889582,0.8903998,0.0025921464,0.0014106681,0.001207952,0.101874664],"study_design_scores_gemma":[0.0000019664662,0.000012089535,0.00020782548,0.000002603925,0.0000035596831,0.000008844327,0.000004037052,0.9981996,0.0006283724,0.0007838623,0.00014452255,0.000002784733],"about_ca_topic_score_codex":0.006668555,"about_ca_topic_score_gemma":0.0045907353,"teacher_disagreement_score":0.006668555,"about_ca_system_score_codex":0.00056542276,"about_ca_system_score_gemma":0.00056947645,"threshold_uncertainty_score":0.01325953},"labels":[],"label_agreement":null},{"id":"W4415239110","doi":"10.3390/en18205443","title":"Battery Energy Storage for Ancillary Services in Distribution Networks: Technologies, Applications, and Deployment Challenges—A Comprehensive Review","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced battery technologies research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Voltage droop; Flexibility (engineering); Modular design; Renewable energy; Energy storage; Distributed generation; Battery (electricity)","score_opus":0.012723799480270004,"score_gpt":0.2573389208090863,"score_spread":0.24461512132881633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415239110","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":[0.00049210497,0.9969862,0.0005451838,0.00022521701,0.00010838707,0.000009602465,0.000033832734,0.000008146996,0.001591262],"genre_scores_gemma":[0.0029622156,0.9960204,0.0004056951,0.00008769676,0.00010861115,0.000008004952,0.000045594166,0.0000027610056,0.00035905212],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997025,0.000052591357,0.00004704073,0.000044045773,0.00012770703,0.000025994988],"domain_scores_gemma":[0.99897194,0.00061458675,0.00010548467,0.00002550257,0.00025342446,0.000029078388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010344298,0.00066551106,0.0009663592,0.0021561782,0.000267813,0.0012972109,0.00072322675,0.0008418883,0.002734132],"category_scores_gemma":[0.0011131485,0.0003180044,0.00057431904,0.0031775846,0.00027798192,0.0020039587,0.00055452745,0.0007277018,0.0009113012],"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":[0.00006138164,0.00007621669,0.0004486742,0.035167903,0.00012864727,0.00014663578,0.00009863512,0.0025240814,0.0021600742,0.008624217,0.015685476,0.9348781],"study_design_scores_gemma":[0.0000137510615,0.00023414858,0.0013249515,0.010847514,0.00033383293,0.00071009825,0.00017196558,0.0013468983,0.0015424992,0.0045023393,0.9789265,0.000045489924],"about_ca_topic_score_codex":0.0016916293,"about_ca_topic_score_gemma":0.002515764,"teacher_disagreement_score":0.002734132,"about_ca_system_score_codex":0.00044025277,"about_ca_system_score_gemma":0.0014865247,"threshold_uncertainty_score":0.009146571},"labels":[],"label_agreement":null},{"id":"W4415281883","doi":"10.3390/en18205486","title":"Comprehensive Analysis of De-Icing Technologies for Wind Turbine Blades: Mechanisms, Modeling, and Performance Evaluation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Icing; Aerodynamics; Icing conditions; Turbine; Wind power; Multiphysics; Turbine blade; Cold climate","score_opus":0.016458589264292993,"score_gpt":0.2570628170160884,"score_spread":0.2406042277517954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415281883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.790083,0.0034088818,0.18882556,0.00019717844,0.0000822213,0.00025633568,0.00062951713,0.00063644006,0.015880829],"genre_scores_gemma":[0.9838712,0.00093710824,0.012882052,0.000015385458,0.000009756751,0.0000645508,0.00028414137,0.000038837272,0.0018969222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981993,0.000012519834,0.0000088583465,0.000022358108,0.000110883564,0.000025577168],"domain_scores_gemma":[0.99967897,0.000094428324,0.000054127715,0.000039972074,0.000116328745,0.000016208995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038278167,0.0005878155,0.00050506165,0.00057030865,0.0003096971,0.0005367059,0.0005382869,0.0005603384,0.0008947073],"category_scores_gemma":[0.0005941166,0.00028491943,0.0006055673,0.00039095926,0.00019720176,0.0005441085,0.00023750865,0.00037506118,0.00033003063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010769135,0.0001662563,0.0058668656,0.00058590627,0.00006155744,0.0002454343,0.000108067485,0.816883,0.109304,0.0016076776,0.0009590776,0.06410447],"study_design_scores_gemma":[0.000008581369,0.00029122888,0.0061106696,0.000025948853,0.000030252571,0.00008578304,0.000042857235,0.9541178,0.036817405,0.00026584297,0.002184929,0.000018731154],"about_ca_topic_score_codex":0.001919179,"about_ca_topic_score_gemma":0.0021347082,"teacher_disagreement_score":0.001919179,"about_ca_system_score_codex":0.0005683746,"about_ca_system_score_gemma":0.00043580524,"threshold_uncertainty_score":0.0041238666},"labels":[],"label_agreement":null},{"id":"W4415401792","doi":"10.3390/en18205537","title":"The Impact of Brine Saturation and Distribution on Lean Gas Huff-n-Puff EOR Performance of Tight Oil Reservoirs: Examples from the Montney Formation (Canada)","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Brine; Tight gas; Spark plug; Saturation (graph theory); Fossil fuel; Methane; Tight oil; Solubility","score_opus":0.009284295168785863,"score_gpt":0.2361881264982848,"score_spread":0.22690383132949893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415401792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990075,0.000073406634,0.00018528615,0.000013706234,9.88534e-7,0.000007853538,0.00019849924,0.000015999718,0.00049669796],"genre_scores_gemma":[0.99859613,0.00013628312,0.0004393684,0.000007968014,6.906709e-7,0.0000055095843,0.00020136999,0.0000098840255,0.00060277776],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99972016,0.000010306545,0.000010829934,0.000046956848,0.00013982848,0.00007192786],"domain_scores_gemma":[0.9998165,0.00003095981,0.00002699343,0.000009278124,0.00009099559,0.000025451647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020849111,0.00026848156,0.0002989746,0.00043150273,0.0007783701,0.00047365896,0.00037420332,0.00029107436,0.0007186144],"category_scores_gemma":[0.00032928798,0.00015319983,0.0002062822,0.0004260976,0.0005774375,0.00027685176,0.00037578394,0.00038159336,0.00015282734],"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":[0.0005318797,0.000101948375,0.03878812,0.00017011704,0.00002497583,0.0005578444,0.0004721883,0.0027602427,0.9416464,0.00016944572,0.00018668169,0.0145902345],"study_design_scores_gemma":[0.000025173162,0.0007204832,0.22682364,0.000028797169,0.00005143382,0.0003017893,0.0014320562,0.0070918263,0.76035744,0.00007211514,0.0030412248,0.00005398326],"about_ca_topic_score_codex":0.36758402,"about_ca_topic_score_gemma":0.5578081,"teacher_disagreement_score":0.632416,"about_ca_system_score_codex":0.0017028984,"about_ca_system_score_gemma":0.0011339379,"threshold_uncertainty_score":0.73088884},"labels":[],"label_agreement":null},{"id":"W4415649731","doi":"10.3390/en18215645","title":"Optimal Direct Parameter Extraction of a Lithium-Ion Equivalent Circuit Cell Model for Electric Vehicle Application","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Robustness (evolution); Equivalent circuit; Parametrization (atmospheric modeling); Automotive industry; Transient (computer programming); Battery pack; Battery (electricity); Control theory (sociology)","score_opus":0.020137025402329693,"score_gpt":0.2831146614267651,"score_spread":0.2629776360244354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415649731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052786816,0.00027598446,0.93402165,0.00017888485,0.000029315883,0.000095519405,0.0002438676,0.0006103354,0.011757619],"genre_scores_gemma":[0.8688801,0.0003422789,0.121648505,0.000058617352,0.000016767988,0.00027143655,0.0004400929,0.00019924417,0.008142957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989593,0.000024225485,0.0000060480656,0.00001806373,0.000046708807,0.000008936424],"domain_scores_gemma":[0.9997904,0.00009651175,0.000017893686,0.000035177898,0.00005540666,0.000004635755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454956,0.0004910965,0.000340878,0.00027981054,0.00019555942,0.0007212452,0.0005849961,0.00062682206,0.002858791],"category_scores_gemma":[0.0010985939,0.00022379393,0.00039391604,0.00028371668,0.00022617179,0.00068811077,0.00034675686,0.0005604367,0.0007220182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072126604,0.000046352747,0.00069129607,0.00016221184,0.000018812156,0.00008446121,0.000089262685,0.928535,0.023682352,0.0057317703,0.0010622739,0.039824143],"study_design_scores_gemma":[0.0000050825556,0.000023056657,0.00012195622,0.000007674225,0.0000052281043,0.000021462696,0.000015212773,0.99300086,0.0043538567,0.00089267455,0.0015473133,0.0000056859967],"about_ca_topic_score_codex":0.0030945616,"about_ca_topic_score_gemma":0.0035324958,"teacher_disagreement_score":0.0030945616,"about_ca_system_score_codex":0.00035753142,"about_ca_system_score_gemma":0.0005378731,"threshold_uncertainty_score":0.009563625},"labels":[],"label_agreement":null},{"id":"W4415649913","doi":"10.3390/en18215644","title":"Scalable Hybrid Arrays Overcome Electrode Scaling Limitations in Micro-Photosynthetic Power Cells","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scalability; Modular design; Electrode; Scaling; Software deployment; Power (physics); Voltage; Energy harvesting","score_opus":0.00838893621946613,"score_gpt":0.19691479151892632,"score_spread":0.1885258552994602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415649913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8051882,0.01301664,0.16102387,0.0012549111,0.000589021,0.00016590967,0.00057747186,0.0019624843,0.01622151],"genre_scores_gemma":[0.9368736,0.0037229415,0.05470302,0.00033080252,0.00010897854,0.00022482443,0.00041534493,0.00016142505,0.0034589788],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995921,0.000038858114,0.000025641644,0.00009855298,0.00018787912,0.000056989044],"domain_scores_gemma":[0.9995098,0.00019118056,0.000059299007,0.0000632318,0.00014542502,0.000030957133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046462897,0.0004765756,0.00044724232,0.00029150068,0.00022478664,0.0012371358,0.0008317263,0.0007284262,0.0018770886],"category_scores_gemma":[0.0010142777,0.00038200375,0.00040890326,0.00035970233,0.00033234022,0.0013723779,0.0008869637,0.0010907177,0.00086568156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027969527,0.00003650058,0.00029531302,0.00030444967,0.000028847828,0.00014244346,0.000077734345,0.0029005252,0.9691253,0.0018829311,0.0006354532,0.024542537],"study_design_scores_gemma":[0.000014174663,0.0002170536,0.00082897046,0.000025013242,0.00004512378,0.00017248721,0.000087107444,0.01877744,0.9650334,0.0013020211,0.013476279,0.0000210204],"about_ca_topic_score_codex":0.00024098268,"about_ca_topic_score_gemma":0.00066240097,"teacher_disagreement_score":0.0018770886,"about_ca_system_score_codex":0.000412591,"about_ca_system_score_gemma":0.00023787533,"threshold_uncertainty_score":0.006279528},"labels":[],"label_agreement":null},{"id":"W4415818455","doi":"10.3390/en18215794","title":"Modeling and Optimization of a Hybrid Solar–Wind Energy System Using HOMER: A Case Study of L’Anse Au Loup","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Backup; Hybrid system; Renewable energy; Electricity; Photovoltaic system; Mains electricity; Greenhouse gas; Resource (disambiguation); Electricity generation; Power (physics)","score_opus":0.01771427303256371,"score_gpt":0.2421010097212014,"score_spread":0.2243867366886377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415818455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511374,0.00018911708,0.023446122,0.00025531792,0.000015589532,0.000117461524,0.00047011217,0.00022174389,0.024147172],"genre_scores_gemma":[0.9925085,0.000048134643,0.0033897893,0.00001914412,0.0000024085136,0.000047870548,0.000102337435,0.00001738833,0.0038645142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981946,0.000064717766,0.0000053750186,0.000029200028,0.000031072126,0.000050198083],"domain_scores_gemma":[0.999795,0.00011084528,0.000022735636,0.000011497798,0.000039348593,0.000020594698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033725152,0.0006161324,0.00067896914,0.00035994864,0.00084183336,0.0012784591,0.0008146472,0.0011567908,0.002992873],"category_scores_gemma":[0.0004520691,0.0004650765,0.0006437016,0.000420143,0.0005398078,0.00038344416,0.00047760247,0.0004952087,0.00022217685],"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":[0.000037228165,0.000032999316,0.0012592355,0.000020697764,0.000013134122,0.00018961872,0.000025958361,0.9958824,0.00064537965,0.00034494267,0.00017135803,0.0013771086],"study_design_scores_gemma":[0.000016087626,0.00004505144,0.0010348505,0.0000034123614,0.00000850518,0.000014169875,0.00008523073,0.99816895,0.0002484976,0.00011135249,0.0002581038,0.0000057780453],"about_ca_topic_score_codex":0.21422681,"about_ca_topic_score_gemma":0.24773215,"teacher_disagreement_score":0.78577316,"about_ca_system_score_codex":0.0022680159,"about_ca_system_score_gemma":0.0014123229,"threshold_uncertainty_score":0.42595977},"labels":[],"label_agreement":null},{"id":"W4415819057","doi":"10.3390/en18215743","title":"Laboratory Assessment of Residual Oil Saturation Under Multi-Component Solvent SAGD Coinjection","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; China National Offshore Oil Corporation","keywords":"Naphtha; Solvent; Residual; Saturation (graph theory); Residual oil; Enhanced oil recovery; Fossil fuel; Thermal","score_opus":0.007510577999936719,"score_gpt":0.26998250512283606,"score_spread":0.26247192712289935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415819057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942924,0.0002774153,0.0042530014,0.000030651438,0.000019415147,0.000053154985,0.000365293,0.00009444774,0.00061434385],"genre_scores_gemma":[0.994011,0.0005550614,0.0040427414,0.000021338408,0.0000053704816,0.00008000526,0.000240724,0.000022407503,0.0010212541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967456,0.00003570348,0.000027473301,0.00006610116,0.00013971028,0.000056510158],"domain_scores_gemma":[0.99963164,0.00010470573,0.000080563535,0.000029988341,0.0001250152,0.000028137234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005301547,0.0004388043,0.00039003236,0.0002834547,0.00029066173,0.0004116138,0.00030566932,0.00045055494,0.0008960228],"category_scores_gemma":[0.0006703128,0.00017085372,0.00048804458,0.00032742103,0.00041244586,0.00039980988,0.0004455549,0.0006604251,0.00029013376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013647626,0.00008980068,0.00089332636,0.00010562525,0.000008939016,0.000059086018,0.000058838723,0.0012292842,0.99548495,0.00008357518,0.00004615332,0.0018041198],"study_design_scores_gemma":[0.000007107766,0.0008175654,0.0012832931,0.000007707413,0.000018026374,0.000018891333,0.000068457106,0.0057277484,0.99154156,0.000029204102,0.0004672182,0.000013231309],"about_ca_topic_score_codex":0.0022056692,"about_ca_topic_score_gemma":0.003048116,"teacher_disagreement_score":0.0022056692,"about_ca_system_score_codex":0.00032372586,"about_ca_system_score_gemma":0.00039902076,"threshold_uncertainty_score":0.00438565},"labels":[],"label_agreement":null},{"id":"W4415819116","doi":"10.3390/en18215756","title":"Techno-Economic Assessment of Net Metering and Energy Sharing in a Mixed-Use Renewable Energy Community in Montreal: A Simulation-Based Approach Using Tool4Cities","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Net metering; Renewable energy; Tariff; Metering mode; Subsidy; Key (lock); Workflow; Feed-in tariff; Micro hydro","score_opus":0.021967154445346006,"score_gpt":0.24643677305907738,"score_spread":0.22446961861373138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415819116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96514076,0.00009638674,0.01447452,0.0002998714,0.000017613278,0.00022011215,0.002472972,0.00042186293,0.016855858],"genre_scores_gemma":[0.9908716,0.00006221755,0.006434851,0.000018881936,0.0000032912828,0.000071766604,0.00064949197,0.000035913275,0.0018519871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996649,0.000102857244,0.0000082035485,0.000050137027,0.00006400264,0.00010992685],"domain_scores_gemma":[0.9993774,0.00028050315,0.000054045788,0.000049461294,0.00014957742,0.00008893953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008064939,0.0009440235,0.00048009306,0.001030973,0.0010822925,0.0017656864,0.001534389,0.00087628054,0.0035962842],"category_scores_gemma":[0.0014509009,0.00039608666,0.00073347776,0.001492484,0.0007822854,0.0006040377,0.0006555226,0.0005370188,0.00018556055],"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":[0.00005159267,0.00008176302,0.008081255,0.000022805918,0.000031786873,0.00010543027,0.000043754993,0.985927,0.0005099097,0.0015985135,0.0005494584,0.0029968498],"study_design_scores_gemma":[0.000023250686,0.000037820297,0.0042535807,0.0000047035874,0.000014939974,0.0000063591,0.0001129254,0.99445194,0.00034589393,0.00022290972,0.00050870137,0.000017018127],"about_ca_topic_score_codex":0.89766157,"about_ca_topic_score_gemma":0.89892334,"teacher_disagreement_score":0.10233843,"about_ca_system_score_codex":0.016931763,"about_ca_system_score_gemma":0.0075220177,"threshold_uncertainty_score":0.20588219},"labels":[],"label_agreement":null},{"id":"W4415819128","doi":"10.3390/en18215759","title":"Energy Management of Hybrid Energy System Considering a Demand-Side Management Strategy and Hydrogen Storage System","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Energy management; Renewable energy; Particle swarm optimization; Maximization; Multi-objective optimization; Energy storage; Grid; Smart grid; Energy management system","score_opus":0.008183261368268569,"score_gpt":0.20617250515251173,"score_spread":0.19798924378424315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415819128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25502127,0.001374706,0.7002465,0.0007643333,0.00016418584,0.00025779512,0.00031531334,0.0005673654,0.041288506],"genre_scores_gemma":[0.9899303,0.00016127179,0.005948114,0.000042381907,0.000019358438,0.000082847466,0.000046964957,0.000010731922,0.0037579907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997422,0.0000609233,0.00001640554,0.000070881775,0.000060291037,0.000049193328],"domain_scores_gemma":[0.99982953,0.000053027463,0.000033819968,0.000010384733,0.000051946594,0.000021209253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038538038,0.0006804733,0.00084755284,0.00034115466,0.0006894325,0.0016754287,0.00085005927,0.00089411496,0.0026185438],"category_scores_gemma":[0.0003252947,0.0002931145,0.0006052151,0.00048221913,0.0005022642,0.0008770082,0.0010021385,0.0004641741,0.00025217157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012133217,0.000057017227,0.0010843128,0.0001228576,0.00007632252,0.0003651973,0.00006170115,0.9722899,0.0050958674,0.005589984,0.00072026614,0.014415396],"study_design_scores_gemma":[0.000011853215,0.00006113171,0.0002533493,0.0000056346357,0.000017537524,0.00002718885,0.000027160137,0.9977047,0.00046659302,0.0010314697,0.00038746715,0.0000060626503],"about_ca_topic_score_codex":0.0052665947,"about_ca_topic_score_gemma":0.004624386,"teacher_disagreement_score":0.0052665947,"about_ca_system_score_codex":0.00075655465,"about_ca_system_score_gemma":0.0007376028,"threshold_uncertainty_score":0.01047188},"labels":[],"label_agreement":null},{"id":"W4416390610","doi":"10.3390/en18226031","title":"Feasibility and Operability of CO2 Circulation in a CO2 Storage-Enabled Geothermal System with Uncertainty Insights from Aquistore","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","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":"University of Alberta","funders":"Bundesamt für Energie; Petroleum Technology Research Centre; Eidgenössische Technische Hochschule Zürich","keywords":"Plume; Geothermal gradient; Injector; Operability; Brine; Injection well; Saturation (graph theory); Permeability (electromagnetism); Carbon capture and storage (timeline)","score_opus":0.010419829008603844,"score_gpt":0.23076007486536634,"score_spread":0.2203402458567625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416390610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959863,0.0000134035245,0.002371906,0.000027670012,0.0000018157422,0.000019374638,0.00011449056,0.000050669834,0.0014143914],"genre_scores_gemma":[0.99896,0.000009509038,0.00075389445,0.0000028660377,2.5261681e-7,0.000007381996,0.00006046114,0.000004247006,0.00020135156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998122,0.000026624439,0.000007025716,0.00003623103,0.000050531587,0.0000674206],"domain_scores_gemma":[0.99967074,0.0001385999,0.000037126454,0.00003129702,0.00009071531,0.00003145393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043820887,0.0005175484,0.00029926377,0.00026811552,0.0006900632,0.00065288064,0.00055347505,0.00031434651,0.0008229536],"category_scores_gemma":[0.0010033126,0.00023717487,0.00034618776,0.0002823833,0.00072477775,0.0005727529,0.0004840993,0.0004899526,0.000058124184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003962814,0.00010235974,0.0158801,0.00004034487,0.000018478273,0.00014098056,0.00009669531,0.9607377,0.01570869,0.0009231946,0.00017786786,0.0057772896],"study_design_scores_gemma":[0.000040889314,0.00027002522,0.0076072505,0.0000037668049,0.000019352025,0.000022333217,0.00014711838,0.97571325,0.015495438,0.00031125837,0.00034635718,0.000022856773],"about_ca_topic_score_codex":0.256297,"about_ca_topic_score_gemma":0.24287277,"teacher_disagreement_score":0.256297,"about_ca_system_score_codex":0.0037829392,"about_ca_system_score_gemma":0.003314739,"threshold_uncertainty_score":0.50961035},"labels":[],"label_agreement":null},{"id":"W4416457426","doi":"10.3390/en18236080","title":"Quantification of Gas Exsolution Dynamics for Solvent-Heavy Oil Systems Under Reservoir Conditions","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bubble; Nucleation; Viscosity; Enhanced oil recovery; Equation of state; Constant (computer programming); Population; Dilution; Solvent","score_opus":0.015817598888049907,"score_gpt":0.2721290375211201,"score_spread":0.2563114386330702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416457426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94446087,0.00047570994,0.053250916,0.000062111256,0.000018885936,0.000046094832,0.0004619544,0.0004973506,0.00072605483],"genre_scores_gemma":[0.98124045,0.00050164404,0.017048107,0.000017718055,0.000008828644,0.000108934764,0.0004058263,0.000082989776,0.0005856175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965155,0.00003104668,0.000019225896,0.00007956048,0.00016698324,0.0000516755],"domain_scores_gemma":[0.99956053,0.00018721196,0.00009502934,0.00004595498,0.00008907977,0.000022054552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041427504,0.0005349832,0.0003280753,0.00051185593,0.00020188751,0.0002407792,0.0004907568,0.00031686528,0.0011793908],"category_scores_gemma":[0.0009901008,0.00018524924,0.00022593126,0.0005090201,0.0005293261,0.0007704708,0.0005033509,0.000801768,0.00018947788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071078226,0.00002635373,0.00067278283,0.00007647217,0.0000058443966,0.00005183385,0.000069510344,0.00077952276,0.9942325,0.00023497382,0.000029866647,0.0037492837],"study_design_scores_gemma":[0.0000027378521,0.0000738844,0.00100768,0.0000025592094,0.000003822229,0.000027069165,0.000020682412,0.010231202,0.98826617,0.000061584906,0.00029682057,0.0000058663904],"about_ca_topic_score_codex":0.0007028885,"about_ca_topic_score_gemma":0.0006272225,"teacher_disagreement_score":0.0011793908,"about_ca_system_score_codex":0.000328993,"about_ca_system_score_gemma":0.00020021573,"threshold_uncertainty_score":0.00394547},"labels":[],"label_agreement":null},{"id":"W4417047886","doi":"10.3390/en18236285","title":"A Novel ANFIS-Based Approach for Optimizing Energy Efficiency in Autonomous Vehicles","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Pruning; Fuel efficiency; Efficient energy use; Microgrid; Energy consumption; Trajectory; Energy (signal processing); Energy management; Fuzzy logic; Overtaking","score_opus":0.009807726546766583,"score_gpt":0.21170727851870286,"score_spread":0.20189955197193626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417047886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03877018,0.00051513995,0.9537188,0.00021336475,0.000070715956,0.00006379691,0.00013107566,0.0008117082,0.005705294],"genre_scores_gemma":[0.86376125,0.00021623199,0.13204308,0.00009783169,0.00004873074,0.00012609355,0.00020446285,0.00004647065,0.0034559276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983585,0.000032538264,0.00001064252,0.00004400412,0.0000569549,0.000019965537],"domain_scores_gemma":[0.9998418,0.00008229588,0.000020259598,0.0000073040073,0.000041333715,0.000006912223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004195877,0.000849206,0.00047673236,0.00049933436,0.00027475838,0.0005234224,0.0006065227,0.0006889944,0.0012717152],"category_scores_gemma":[0.0007287449,0.00033197924,0.0004920724,0.00029604742,0.00025419638,0.00040864863,0.00028842213,0.00068352517,0.00019445775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028104247,0.000029953417,0.0003124449,0.000029801715,0.00002642646,0.00003249178,0.000020378393,0.9551806,0.0021022158,0.0012271685,0.0004348985,0.040575482],"study_design_scores_gemma":[0.0000027546407,0.000013316222,0.000073065305,0.000003189043,0.000004014612,0.0000042419824,0.0000029465516,0.99890363,0.00039709106,0.0003547931,0.0002393794,0.0000015320016],"about_ca_topic_score_codex":0.012607033,"about_ca_topic_score_gemma":0.016012445,"teacher_disagreement_score":0.012607033,"about_ca_system_score_codex":0.00051458075,"about_ca_system_score_gemma":0.0006693996,"threshold_uncertainty_score":0.02506733},"labels":[],"label_agreement":null},{"id":"W4417048055","doi":"10.3390/en18236259","title":"The Energy and Environmental Impacts of Free-Floating Shared E-Scooters: A Multi-City Life Cycle Assessment","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Energy consumption; Environmental impact assessment; Fossil fuel; Electricity; Consumption (sociology); Efficient energy use; Energy (signal processing)","score_opus":0.014569105286360441,"score_gpt":0.2914260696508987,"score_spread":0.2768569643645382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417048055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876686,0.00014422042,0.0066520628,0.00011450425,0.000008642932,0.00020142805,0.0021387131,0.000049828228,0.0030220996],"genre_scores_gemma":[0.99103326,0.0001693261,0.0054429267,0.000022607082,0.0000029149614,0.00014380376,0.0020488948,0.000018862516,0.0011172171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99935526,0.00022367536,0.000033081058,0.000087636734,0.00020006314,0.000100293444],"domain_scores_gemma":[0.9986298,0.0004558617,0.00018883026,0.00015971955,0.0004688283,0.00009702598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019488244,0.001043537,0.0004093311,0.0018127632,0.00053078186,0.0014633874,0.0009600971,0.0008232026,0.0013152412],"category_scores_gemma":[0.0021198108,0.00041584187,0.0018909952,0.002275877,0.000462994,0.002031222,0.0012773685,0.0005930066,0.0001769539],"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":[0.0004970679,0.0004082503,0.102318,0.00021802649,0.0004692403,0.000289277,0.0002555116,0.85346055,0.004146825,0.0030618687,0.000940811,0.03393462],"study_design_scores_gemma":[0.00005693821,0.0011811871,0.09964474,0.00005602709,0.000283074,0.00013692469,0.0011376761,0.8843155,0.005142262,0.002988968,0.004955983,0.00010071362],"about_ca_topic_score_codex":0.03094584,"about_ca_topic_score_gemma":0.038949814,"teacher_disagreement_score":0.03094584,"about_ca_system_score_codex":0.0032337136,"about_ca_system_score_gemma":0.0013259383,"threshold_uncertainty_score":0.061531425},"labels":[],"label_agreement":null},{"id":"W4417048527","doi":"10.3390/en18236316","title":"The Impact of Green Bonds and Energy Use on Carbon Dioxide Emissions: Evidence from 17 Financially Developed Countries (2014–2023)","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Katolicki Uniwersytet Lubelski Jana Pawla II","keywords":"Renewable energy; Cointegration; Per capita; Bond; Quantile regression; Unit root; Panel data; Kuznets curve; Consumption (sociology)","score_opus":0.02368376720748431,"score_gpt":0.2480780959563871,"score_spread":0.2243943287489028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417048527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993451,0.00086077856,0.00036862912,0.00015306109,0.000010687989,0.0000058633973,0.003947467,0.0000071480035,0.0011953211],"genre_scores_gemma":[0.99458176,0.00067222444,0.0001733936,0.000041718613,0.0000077438035,0.000009054779,0.0041922815,0.00000346396,0.00031849928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996644,0.00008662345,0.00003292785,0.000068928726,0.00006209235,0.00008500538],"domain_scores_gemma":[0.99822086,0.00030151158,0.0010358873,0.00010709988,0.00020710555,0.00012755654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007629814,0.00025105415,0.00022008385,0.0007054271,0.0002301707,0.0005689543,0.00020052369,0.00022851603,0.0013110646],"category_scores_gemma":[0.0016664538,0.00017142126,0.0006292909,0.0021088056,0.0004090955,0.0005527528,0.00090765697,0.0004606002,0.00019594523],"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":[0.00007154694,0.000026086023,0.99076813,0.00007086968,0.000261182,0.00013738041,0.00019885866,0.0012568322,0.0001481933,0.00047319214,0.00068007613,0.005907537],"study_design_scores_gemma":[0.0000033328079,0.000027088214,0.99660975,0.0000388421,0.0000678828,0.0000499273,0.0004980323,0.0004725929,0.00022974993,0.00008177998,0.0019134611,0.000007541044],"about_ca_topic_score_codex":0.028866107,"about_ca_topic_score_gemma":0.0334606,"teacher_disagreement_score":0.028866107,"about_ca_system_score_codex":0.00031665963,"about_ca_system_score_gemma":0.00040671226,"threshold_uncertainty_score":0.057396173},"labels":[],"label_agreement":null},{"id":"W4417122330","doi":"10.3390/en18246424","title":"An Equilibrium Analysis of Time-Varying and Flat Electricity Rates","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Tariff; Electricity; Consumption (sociology); Service (business); Value (mathematics); Electricity price; Service provider; Electricity market","score_opus":0.0045470712094060955,"score_gpt":0.22066624954097205,"score_spread":0.21611917833156596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417122330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5502992,0.0005806948,0.3449664,0.00059188175,0.000072621755,0.00025768141,0.0004892182,0.00018579558,0.10255644],"genre_scores_gemma":[0.9782536,0.00026908834,0.0072394037,0.00004475871,0.000013839748,0.00004908924,0.000110939676,0.000029534513,0.01398976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938595,0.00020022065,0.000015569638,0.00007180089,0.00011648734,0.00020982444],"domain_scores_gemma":[0.99896264,0.0005369502,0.00013615955,0.00005692329,0.0002312799,0.00007609975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012048171,0.00054503215,0.0004790209,0.00091078866,0.00049713743,0.0016325099,0.0013246287,0.0008040855,0.00687078],"category_scores_gemma":[0.0045965374,0.0003148111,0.00097408047,0.00058950315,0.00081431854,0.0011900698,0.00065272977,0.0007564905,0.0005408997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014901512,0.00012013243,0.0034425298,0.00007427915,0.00004742649,0.0005838812,0.0003081288,0.60771805,0.0038122595,0.36899143,0.0015934705,0.013159462],"study_design_scores_gemma":[0.00001862471,0.000062518884,0.0016535465,0.000010916155,0.000014776783,0.00006518977,0.00025824446,0.97429186,0.00046960457,0.021723336,0.0014090308,0.000022395097],"about_ca_topic_score_codex":0.057121135,"about_ca_topic_score_gemma":0.023661623,"teacher_disagreement_score":0.057121135,"about_ca_system_score_codex":0.0026542787,"about_ca_system_score_gemma":0.001270375,"threshold_uncertainty_score":0.113577306},"labels":[],"label_agreement":null},{"id":"W4417123378","doi":"10.3390/en18246415","title":"Methanol Production Pathways in Nova Scotia: Opportunities and Challenges for Carbon Capture, Utilization, and Storage","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Bio-energy with carbon capture and storage; Methanol; Biomass (ecology); Retrofitting; Carbon capture and storage (timeline); Carbon neutrality; Carbon fibers; Renewable energy; Natural gas; Nova scotia","score_opus":0.07411867931907701,"score_gpt":0.24375981851717493,"score_spread":0.16964113919809792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417123378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9617206,0.002668852,0.001089281,0.0019479975,0.00003757265,0.00009988529,0.0010946781,0.00003056211,0.0313105],"genre_scores_gemma":[0.9944748,0.0013491109,0.0007733463,0.00009811345,0.0000028903166,0.000011039501,0.0002261721,0.0000046727114,0.003059942],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998481,0.000020282827,0.000005262759,0.000019546103,0.000030129986,0.00007666597],"domain_scores_gemma":[0.9998018,0.000035074154,0.000036456568,0.00000768286,0.000067791014,0.000051132898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018779383,0.00027910102,0.00011643703,0.00055493566,0.0008279229,0.0013190812,0.00040007525,0.00031821974,0.0012995357],"category_scores_gemma":[0.00034867157,0.00012629405,0.0002606572,0.0008311048,0.00051434094,0.00041559758,0.00047516785,0.0002816039,0.0001224077],"study_design_candidate":"theoretical_or_conceptual","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":[0.0020514803,0.00038334102,0.5547509,0.0018495186,0.00038673502,0.026892213,0.0020422842,0.146199,0.088091746,0.027924182,0.009011617,0.140417],"study_design_scores_gemma":[0.00017431377,0.0003879599,0.80711925,0.00057343044,0.00019222597,0.0022766243,0.019219216,0.06982352,0.022518514,0.007982421,0.069546245,0.00018625353],"about_ca_topic_score_codex":0.8132878,"about_ca_topic_score_gemma":0.9240502,"teacher_disagreement_score":0.1867122,"about_ca_system_score_codex":0.0109147625,"about_ca_system_score_gemma":0.007890663,"threshold_uncertainty_score":0.37562352},"labels":[],"label_agreement":null},{"id":"W4417123437","doi":"10.3390/en18246393","title":"Pressurized Chemical Looping Flue Gas Polishing via Novel Integrated Heat Exchanger Reactor","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Chemical Looping and Thermochemical 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":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flue gas; Polishing; Heat exchanger; Packed bed; Combustion; Heat recovery ventilation; Natural gas; Air preheater; Flue","score_opus":0.008057596085381931,"score_gpt":0.21162014832434314,"score_spread":0.20356255223896122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417123437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7063432,0.0011228918,0.2756796,0.000108497545,0.00010756012,0.00024467526,0.0003665181,0.0042744726,0.011752698],"genre_scores_gemma":[0.9138912,0.0002529905,0.08126147,0.000019517594,0.000015611291,0.00008048931,0.00016773606,0.000049485134,0.004261571],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976283,0.000011897587,0.000007612066,0.00005519076,0.00013031383,0.00003221552],"domain_scores_gemma":[0.99991596,0.0000124877415,0.000027215554,0.000015098428,0.000020085587,0.000009129129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163115,0.00032625097,0.00033806142,0.00023539178,0.00014267082,0.00034419875,0.0007245481,0.00032503894,0.0015169719],"category_scores_gemma":[0.00015674169,0.00024443874,0.0002888875,0.00021275261,0.0001855648,0.0004127218,0.0002490261,0.0003881562,0.00043808547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016085657,0.00011716401,0.00063281204,0.00019007805,0.000014558084,0.000111517555,0.000034129138,0.015079118,0.9575298,0.0013306,0.0005452068,0.024254248],"study_design_scores_gemma":[0.00006693007,0.00060542906,0.0027098213,0.000007358351,0.000024027016,0.00018587305,0.00001113005,0.11600734,0.8709396,0.00016527495,0.009247984,0.000029261146],"about_ca_topic_score_codex":0.00066171004,"about_ca_topic_score_gemma":0.0010579414,"teacher_disagreement_score":0.0015169719,"about_ca_system_score_codex":0.0003563279,"about_ca_system_score_gemma":0.00029042488,"threshold_uncertainty_score":0.0050747395},"labels":[],"label_agreement":null},{"id":"W4417333760","doi":"10.3390/en18246545","title":"Pretreatment Using Auto/Acid-Catalyzed Steam Explosion and Water Leaching to Upgrade the Fuel Properties of Wheat Straw for Pellet Production","year":2025,"lang":"en","type":"article","venue":"Energies","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":"University of British Columbia","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Steam explosion; Combustion; Leaching (pedology); Pellets; Straw; Heat of combustion; Torrefaction; Biomass (ecology); Combustibility","score_opus":0.01704302735226288,"score_gpt":0.21709281936150843,"score_spread":0.20004979200924555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417333760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951422,0.00051838474,0.0034284713,0.00002549013,0.000017216524,0.000022492342,0.00007216285,0.000025243522,0.000748314],"genre_scores_gemma":[0.9955112,0.00060423824,0.002654586,0.000015986017,0.000005193678,0.0000111187455,0.00009819425,0.000008985303,0.0010904704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991024,0.000010698632,0.000008525528,0.000016808115,0.000034144843,0.000019634717],"domain_scores_gemma":[0.99997246,0.0000042133015,0.000009629684,0.0000029375208,0.000007545649,0.000003237436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011857465,0.00030337053,0.00020671182,0.00016192163,0.00010000963,0.00016382406,0.00014140771,0.0001650678,0.0007090826],"category_scores_gemma":[0.000080788865,0.000091322196,0.00028258475,0.00014587969,0.000111049565,0.00019417575,0.00013524246,0.00022629969,0.00015938445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000485851,0.000021469352,0.00023821487,0.000057304973,0.000008948119,0.000036677626,0.0000068887425,0.00016117824,0.99683326,0.000029914832,0.000017234237,0.00254028],"study_design_scores_gemma":[0.0000034468085,0.00012715811,0.0016018001,0.0000022981746,0.000012937401,0.00003435924,0.00001215317,0.00084269064,0.99678963,0.000011620516,0.0005590517,0.000002866025],"about_ca_topic_score_codex":0.00079183484,"about_ca_topic_score_gemma":0.0025232825,"teacher_disagreement_score":0.00079183484,"about_ca_system_score_codex":0.00014487219,"about_ca_system_score_gemma":0.00019345318,"threshold_uncertainty_score":0.0023721457},"labels":[],"label_agreement":null},{"id":"W4417491061","doi":"10.3390/en19010001","title":"Classification of Flow Pathways for Waterflooding Operations in a Hydrocarbon Reservoir in Terms of Displacement Constraints and Incremental Oil Recovery","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Science Foundation of China University of Petroleum, Beijing; National Natural Science Foundation of China","keywords":"Wetting; Displacement (psychology); Hydrocarbon; Permeability (electromagnetism); Relative permeability; Flow (mathematics); Volumetric flow rate; Crude oil","score_opus":0.012736322456668522,"score_gpt":0.24196291637171774,"score_spread":0.2292265939150492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417491061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7906226,0.00016553795,0.20678905,0.0000374223,0.0000055354035,0.00012218254,0.0004905969,0.00048590783,0.0012811419],"genre_scores_gemma":[0.9013112,0.00012197878,0.097509734,0.0000057426664,0.0000019443419,0.00008225861,0.0004520202,0.000027324399,0.00048783302],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998808,0.000011663925,0.000011998469,0.0000354495,0.000040540315,0.000019541634],"domain_scores_gemma":[0.999739,0.00006868326,0.000094280935,0.000020285333,0.000060397593,0.00001732218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000231924,0.0004611977,0.00026326068,0.0011152778,0.0002044987,0.00041913657,0.00024240703,0.00027090835,0.00059773034],"category_scores_gemma":[0.00065080536,0.00014350296,0.00020941156,0.0005346735,0.00021820504,0.0005316044,0.00026361705,0.00022626517,0.00012265271],"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":[0.00040600152,0.00020752058,0.04741856,0.0003811741,0.000031755495,0.00027297065,0.0002102495,0.064749725,0.6660572,0.0018330053,0.0003162498,0.21811558],"study_design_scores_gemma":[0.000009466888,0.00041162362,0.046950407,0.000023235776,0.000030863117,0.00025425022,0.00028136696,0.6674368,0.2820425,0.0011218549,0.0013782979,0.000059312115],"about_ca_topic_score_codex":0.0020709587,"about_ca_topic_score_gemma":0.0040046084,"teacher_disagreement_score":0.0020709587,"about_ca_system_score_codex":0.0002924103,"about_ca_system_score_gemma":0.0006153971,"threshold_uncertainty_score":0.0041178465},"labels":[],"label_agreement":null},{"id":"W4417503090","doi":"10.3390/en19010022","title":"Decarbonization Pathways in Underground Mining in Cold and Arctic Climates: A Review of Heat Recovery Systems with Case Studies in Canada","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenhouse gas; Cold climate; Arctic; Energy consumption; Diesel fuel; Energy recovery; Heat recovery ventilation; Climate change; Air conditioning","score_opus":0.020542417649300378,"score_gpt":0.2198107452479192,"score_spread":0.19926832759861882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417503090","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":[0.0653929,0.89383906,0.002466961,0.00082984904,0.00012439347,0.00012876092,0.00026683445,0.000027750535,0.036923464],"genre_scores_gemma":[0.2067094,0.7869171,0.0021555603,0.00014565658,0.000034672867,0.00003649842,0.0001154054,0.000012390353,0.003873269],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994981,0.00008441246,0.000044321416,0.000054591917,0.00018925291,0.00012936338],"domain_scores_gemma":[0.99946326,0.00018243951,0.000055926324,0.00001412784,0.0002516854,0.00003264497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007180883,0.00052067556,0.00046484027,0.0024570543,0.001201604,0.0018653611,0.00078028603,0.0005765532,0.0010542786],"category_scores_gemma":[0.0007808819,0.00020417898,0.0006555492,0.00654395,0.00077367056,0.00057972583,0.00044019573,0.0004067435,0.00010992288],"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":[0.00034961008,0.00029440175,0.017577743,0.034120634,0.00032320913,0.0021197037,0.0037640359,0.06468583,0.0072338274,0.046800133,0.013102659,0.8096282],"study_design_scores_gemma":[0.000033831282,0.00064397295,0.07938375,0.017620444,0.00072211126,0.0012309871,0.010762299,0.014761755,0.010812328,0.0046936967,0.85916156,0.00017333867],"about_ca_topic_score_codex":0.71660924,"about_ca_topic_score_gemma":0.819493,"teacher_disagreement_score":0.28339076,"about_ca_system_score_codex":0.016563745,"about_ca_system_score_gemma":0.013145195,"threshold_uncertainty_score":0.5701194},"labels":[],"label_agreement":null},{"id":"W6965109767","doi":"10.3390/en18143588","title":"Battery Electric Vehicles in Underground Mining: Benefits, Challenges, and Safety Considerations","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"Higher Education Discipline Innovation Project","keywords":"Battery (electricity); Greenhouse gas; Quality (philosophy); Underground mining (soft rock); Air quality index; Thermal runaway","score_opus":0.010600705193799837,"score_gpt":0.2012129494018092,"score_spread":0.19061224420800937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965109767","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3530424,0.16524248,0.12677059,0.0696118,0.001584454,0.00023101184,0.00024129586,0.00023656581,0.28303948],"genre_scores_gemma":[0.89897376,0.065387726,0.011969517,0.0008868253,0.00029847166,0.000045632816,0.000075261334,0.0000284449,0.02233436],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923956,0.00020926716,0.00002499316,0.000048584272,0.00037654585,0.00010101257],"domain_scores_gemma":[0.99946564,0.00017211144,0.000057327514,0.000023547704,0.0002515574,0.000029853367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092049775,0.000311098,0.0002154472,0.0005048941,0.0006233191,0.0018254964,0.0006576881,0.0013382458,0.002567002],"category_scores_gemma":[0.00091823906,0.00011050891,0.00021919112,0.00050758186,0.00077025715,0.002182596,0.0011840475,0.00069308776,0.0006219729],"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":[0.0002740444,0.00020947089,0.017641768,0.002981333,0.00005873275,0.0026556167,0.0015700866,0.021484552,0.035558123,0.15355532,0.012779575,0.7512314],"study_design_scores_gemma":[0.000025405985,0.001333255,0.0098774,0.0027293607,0.000098469965,0.0051972885,0.017801773,0.020396044,0.049088333,0.10461371,0.7887409,0.000097963784],"about_ca_topic_score_codex":0.0014696677,"about_ca_topic_score_gemma":0.0040969127,"teacher_disagreement_score":0.002567002,"about_ca_system_score_codex":0.0006861175,"about_ca_system_score_gemma":0.0010549754,"threshold_uncertainty_score":0.00858742},"labels":[],"label_agreement":null},{"id":"W7082661165","doi":"10.3390/en18185016","title":"A Rapid Review of Hygrothermal Performance Metrics for Innovative Materials in Building Envelope Retrofits","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"International Labor and Employment Law","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Building envelope; Envelope (radar); Relative humidity; Metric (unit); Building code; Moisture","score_opus":0.03236376561703177,"score_gpt":0.341651913049381,"score_spread":0.3092881474323492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082661165","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":[0.001020441,0.9915411,0.00071730156,0.0014557601,0.000646873,0.00015961315,0.00066408067,0.000023976396,0.0037709628],"genre_scores_gemma":[0.0045148428,0.9920581,0.0015239767,0.00052759674,0.00024375305,0.00017848393,0.00036274022,0.00001463605,0.00057595375],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9916163,0.0016932662,0.0026622487,0.0005103713,0.0032886048,0.0002292544],"domain_scores_gemma":[0.9437564,0.03308004,0.0063278307,0.0008987569,0.01542715,0.0005098177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009800326,0.0012818401,0.0025396696,0.03898311,0.0009063874,0.0036890777,0.0015472501,0.0014890664,0.004692732],"category_scores_gemma":[0.034890942,0.00073803106,0.0025618784,0.038217165,0.0011317336,0.005478786,0.0017911615,0.001303821,0.0009979816],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008600211,0.00005594908,0.0011016051,0.36003613,0.00047870717,0.0001964761,0.0008910944,0.0004795733,0.0010237036,0.006560337,0.030450571,0.5986398],"study_design_scores_gemma":[0.000017179404,0.00021035392,0.0075385473,0.40872806,0.001766814,0.0004376952,0.0012445046,0.00025401587,0.0008310595,0.0025075153,0.5763836,0.000080667625],"about_ca_topic_score_codex":0.0064013395,"about_ca_topic_score_gemma":0.012456726,"teacher_disagreement_score":0.03898311,"about_ca_system_score_codex":0.0045906855,"about_ca_system_score_gemma":0.015159348,"threshold_uncertainty_score":0.051829696},"labels":[],"label_agreement":null},{"id":"W7116759719","doi":"10.3390/en19010027","title":"Lithium-Ion Battery Open-Circuit Voltage Analysis for Extreme Temperature Applications","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voltage; Battery (electricity); Cutoff; Open-circuit voltage; State of charge; Range (aeronautics); Consistency (knowledge bases); Polarization (electrochemistry)","score_opus":0.028271849087031207,"score_gpt":0.28796233833021173,"score_spread":0.2596904892431805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116759719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5364593,0.0011209047,0.4465924,0.00017931822,0.000105799874,0.00008632425,0.0011141052,0.0041913697,0.010150465],"genre_scores_gemma":[0.97751766,0.00026704083,0.019997405,0.000034297304,0.000014496145,0.00004604177,0.00039123246,0.00013022266,0.0016015447],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984,0.000012631718,0.000008128062,0.000023927736,0.00010137832,0.00001380019],"domain_scores_gemma":[0.99970657,0.0000512489,0.00004074455,0.000047946407,0.00014399672,0.000009443602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018893395,0.00038948335,0.00024047957,0.0006452986,0.00021728179,0.0004167042,0.00055381336,0.00029482692,0.0016414977],"category_scores_gemma":[0.00085317745,0.00011956848,0.00022158555,0.00053053355,0.00015054329,0.00064024865,0.000402248,0.0003271929,0.0005453892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041391896,0.00010236852,0.017889008,0.00040787866,0.00006064753,0.00047078068,0.0003379273,0.08078756,0.6086482,0.0027883009,0.003900682,0.28419274],"study_design_scores_gemma":[0.000012742043,0.000301122,0.02175307,0.000051315135,0.0000393041,0.00060149754,0.00021040688,0.5271055,0.43733266,0.0033416501,0.009176703,0.000074113996],"about_ca_topic_score_codex":0.0008244248,"about_ca_topic_score_gemma":0.0014688161,"teacher_disagreement_score":0.0016414977,"about_ca_system_score_codex":0.00024941724,"about_ca_system_score_gemma":0.00025565055,"threshold_uncertainty_score":0.005491376},"labels":[],"label_agreement":null},{"id":"W7116774607","doi":"10.3390/en19010049","title":"A Survey of Hydrogen Electrolyzer Technologies for Canada’s Clean Energy Transition","year":2025,"lang":"en","type":"article","venue":"Energies","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":"Centre Intégré de Santé et Services Sociaux de la Gaspésie; Concordia University","funders":"Mitacs","keywords":"Renewable energy; Power to gas; Hydrogen production; Polymer electrolyte membrane electrolysis; Electrolysis; Electrolysis of water; Hydrogen economy; Clean energy; Scope (computer science)","score_opus":0.008297939285384446,"score_gpt":0.21414131130563488,"score_spread":0.20584337202025044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116774607","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":[0.10605348,0.59073985,0.008323953,0.020527745,0.00091543695,0.00033363397,0.015034936,0.0006405794,0.25743037],"genre_scores_gemma":[0.2976738,0.6267014,0.010902438,0.0027027421,0.00012848251,0.000072294024,0.007932173,0.00016419298,0.053722482],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831414,0.000052899548,0.00007270075,0.00009304848,0.0011717416,0.00029550842],"domain_scores_gemma":[0.99664587,0.000306369,0.00014519805,0.000058480808,0.0025740159,0.00027003422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012031941,0.0005185333,0.0003173617,0.005851822,0.0024090435,0.0030383768,0.0010141245,0.0007505024,0.0057462947],"category_scores_gemma":[0.0023652923,0.00025287896,0.00044133537,0.01538809,0.00074474793,0.0014662644,0.0005515805,0.0008275077,0.00088770094],"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":[0.00019257453,0.00011259651,0.017106317,0.005670424,0.00006219522,0.0005040343,0.0009151417,0.0025942903,0.009805424,0.037625,0.110688604,0.8147234],"study_design_scores_gemma":[0.000005945021,0.00006360671,0.03002718,0.0012748577,0.000054319433,0.00023115159,0.0012690842,0.00059563713,0.005609254,0.00095257006,0.9598734,0.000042967175],"about_ca_topic_score_codex":0.91630465,"about_ca_topic_score_gemma":0.96996486,"teacher_disagreement_score":0.08369535,"about_ca_system_score_codex":0.03797954,"about_ca_system_score_gemma":0.07261727,"threshold_uncertainty_score":0.27556217},"labels":[],"label_agreement":null},{"id":"W7117457698","doi":"10.3390/en19010163","title":"Displacement Experiment Characterization and Microscale Analysis of Anisotropic Relative Permeability Curves in Sandstone Reservoirs","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Microscale chemistry; Anisotropy; Relative permeability; Permeability (electromagnetism); Displacement (psychology); Residual oil; Bed; Residual; Saturation (graph theory)","score_opus":0.009737868271810848,"score_gpt":0.28019278865448205,"score_spread":0.2704549203826712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117457698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928861,0.00008323116,0.0065156887,0.000013414856,0.000003680374,0.000010191274,0.0000790206,0.00004115129,0.0003675329],"genre_scores_gemma":[0.99611133,0.00006617185,0.003574533,0.0000056035124,0.0000015256516,0.000009940361,0.000045221397,0.000005223282,0.00018050733],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990964,0.000007877034,0.000007362959,0.000020694068,0.000040206927,0.000014183517],"domain_scores_gemma":[0.9998265,0.00004346252,0.000040034967,0.000017478393,0.00005709005,0.000015468644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020431823,0.00022389147,0.00013937309,0.0003539341,0.00015639862,0.00015903165,0.00018741515,0.0001661468,0.0005147534],"category_scores_gemma":[0.00040144598,0.00013368082,0.000102194754,0.00025420994,0.0002702093,0.00025196632,0.00021125434,0.0002017857,0.00006300247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056869754,0.00002248986,0.0051424084,0.00007909548,0.00000415174,0.000075082826,0.00015487842,0.001849939,0.9845115,0.00017175716,0.000043967088,0.007887779],"study_design_scores_gemma":[0.000010537908,0.000235007,0.063985296,0.000011372873,0.00001853313,0.00015471717,0.00031495007,0.039176688,0.8949317,0.00013152535,0.0009946852,0.000034924506],"about_ca_topic_score_codex":0.002061922,"about_ca_topic_score_gemma":0.0036657266,"teacher_disagreement_score":0.002061922,"about_ca_system_score_codex":0.00015940604,"about_ca_system_score_gemma":0.0001515973,"threshold_uncertainty_score":0.0040997863},"labels":[],"label_agreement":null},{"id":"W7117468344","doi":"10.3390/en19010168","title":"Who Gets a Piece of the [Solar] PIE? An Exploratory Analysis of Participation, Inclusivity, and Equity in Halifax, Nova Scotia’s Solar Energy Transition","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","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":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Dalhousie University; Impact Fund","keywords":"Equity (law); Exploratory analysis; Exploratory research; Context (archaeology); Government (linguistics); Solar energy; Renewable energy; Photovoltaic system","score_opus":0.02822485771820461,"score_gpt":0.3419158073076364,"score_spread":0.3136909495894318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117468344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987134,0.000041336276,0.000041047737,0.00019853847,0.0000026283167,0.000026164336,0.00013765848,8.446475e-7,0.00083834305],"genre_scores_gemma":[0.9986712,0.00007718831,0.00010732819,0.00008983621,0.0000024608983,0.000045630488,0.00016305056,0.000003036677,0.00084026984],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9987834,0.0004029267,0.000046941983,0.000117876145,0.00017640309,0.0004724363],"domain_scores_gemma":[0.9980647,0.00070341775,0.00032050713,0.000084270665,0.00037920807,0.00044793365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016785805,0.00025590224,0.00032432948,0.0011248115,0.0038263754,0.0023727291,0.00084892404,0.000423517,0.0015464475],"category_scores_gemma":[0.0031461555,0.00023964069,0.0002911601,0.0014775082,0.002950964,0.00080931967,0.0024415478,0.0011701655,0.00012055765],"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":[0.00013228093,0.00016754169,0.53681165,0.00009670573,0.000029548397,0.0007306637,0.44958305,0.00013112677,0.0008826394,0.0010542173,0.0017160687,0.008664455],"study_design_scores_gemma":[0.000002803035,0.000040349514,0.3954595,0.000060257335,0.000005488992,0.000043819004,0.60241145,0.00018208726,0.000085425796,0.00005383808,0.0016438905,0.000011130892],"about_ca_topic_score_codex":0.80478,"about_ca_topic_score_gemma":0.8963303,"teacher_disagreement_score":0.19522,"about_ca_system_score_codex":0.008820492,"about_ca_system_score_gemma":0.0082508335,"threshold_uncertainty_score":0.39273936},"labels":[],"label_agreement":null},{"id":"W7117787233","doi":"10.3390/en19010195","title":"Optimization of Isolated Microgrid Sizing Considering the Trade-Off Between Costs and Power Supply Reliability","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Agência Nacional de Energia Elétrica; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Microgrid; Sizing; Photovoltaic system; Renewable energy; Wind power; Genetic algorithm; Grid; Reliability (semiconductor); Energy storage","score_opus":0.006880112279730021,"score_gpt":0.22250659726819183,"score_spread":0.21562648498846182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117787233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34690267,0.00040267676,0.6432426,0.00018678846,0.00003119956,0.00016207628,0.0001711873,0.0003879082,0.008512933],"genre_scores_gemma":[0.9405911,0.00012860424,0.057561394,0.000025220885,0.0000095502355,0.000087519,0.00008351185,0.000046094297,0.0014670107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998394,0.00005593137,0.0000063053444,0.000032483622,0.00003458256,0.00003128893],"domain_scores_gemma":[0.999582,0.00023714417,0.00008041615,0.000019341092,0.00004635949,0.000034790068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049125595,0.0011647574,0.0006291554,0.00066583615,0.00024677272,0.0007989458,0.000573033,0.0004860798,0.0015117474],"category_scores_gemma":[0.0012375419,0.00037320209,0.0004058453,0.00054539903,0.00032067744,0.0006388729,0.00046009314,0.000450275,0.0001618906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003197173,0.000023965522,0.00035379725,0.000033934582,0.000020027268,0.00003394727,0.000016727186,0.98307496,0.0014855125,0.0010393682,0.00015194768,0.013733852],"study_design_scores_gemma":[0.000009312697,0.000042966225,0.000268341,0.0000048349866,0.000011747433,0.0000129197115,0.000023962291,0.997271,0.000791417,0.0013717156,0.00018868198,0.0000030954184],"about_ca_topic_score_codex":0.0023227613,"about_ca_topic_score_gemma":0.0029630272,"teacher_disagreement_score":0.0023227613,"about_ca_system_score_codex":0.00063711713,"about_ca_system_score_gemma":0.0009816567,"threshold_uncertainty_score":0.005057335},"labels":[],"label_agreement":null}]}