{"meta":{"query_hash":"a813bce725c9","filters":{"topic":"Energy Efficiency and Management"},"cohort_total":309,"direct_labels_cover":2,"predictions_cover":309,"exported":309,"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/a813bce725c9","api":"https://metacan.xera.ac/api/v1/cohort?topic=Energy+Efficiency+and+Management"},"results":[{"id":"W102531212","doi":"10.1080/01998590709509504","title":"Reducing Energy Cost in an Industrial Chilled Water Plant","year":2007,"lang":"en","type":"article","venue":"Energy Engineering","topic":"Energy Efficiency and Management","field":"Energy","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":"Chilled water; Chiller; Water chiller; Economizer; Condenser (optics); Engineering; Waste management; Environmental science; Energy conservation; Process engineering; Water cooling; Environmental engineering; Refrigerant; Mechanical engineering; Gas compressor","score_opus":0.013683706473845187,"score_gpt":0.20141666138835101,"score_spread":0.18773295491450584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W102531212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97312975,0.00019971855,0.009762049,0.0002425567,0.000009053155,0.00016643688,0.00017281299,0.00008596818,0.016231664],"genre_scores_gemma":[0.9954483,0.00009699759,0.0025494106,0.000008401427,0.0000019432186,0.000019034966,0.00007075208,0.0000072181224,0.0017980622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996344,0.00004880561,0.0000058214882,0.000028880155,0.0001666765,0.00011537606],"domain_scores_gemma":[0.99972945,0.00012140596,0.000022143557,0.0000164383,0.00008392336,0.00002658129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034575502,0.00031156192,0.00022027678,0.0010138409,0.001108084,0.0009792113,0.0007118182,0.00046705836,0.003927354],"category_scores_gemma":[0.00076779927,0.0002613049,0.00041315774,0.0010188678,0.00050042814,0.00059001945,0.0003641446,0.00040847046,0.00016762526],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009909227,0.00054822204,0.023610326,0.00029459063,0.00005310002,0.0009865527,0.00016419817,0.78818476,0.053111926,0.012684283,0.0015659094,0.117805116],"study_design_scores_gemma":[0.00031555493,0.0011660473,0.06596242,0.000042820153,0.0001266304,0.00028924822,0.0010331424,0.83873475,0.07610496,0.0055600046,0.010557079,0.00010738243],"about_ca_topic_score_codex":0.13774851,"about_ca_topic_score_gemma":0.18058746,"teacher_disagreement_score":0.13774851,"about_ca_system_score_codex":0.007898939,"about_ca_system_score_gemma":0.0037779396,"threshold_uncertainty_score":0.27389348},"labels":[],"label_agreement":null},{"id":"W1176668349","doi":"10.1016/j.jmapro.2015.06.009","title":"Energy-efficient vector field based toolpaths for CNC pocketmachining","year":2015,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Energy Efficiency and Management","field":"Energy","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of California Berkeley","keywords":"Numerical control; Cnc milling; Component (thermodynamics); Mechanical engineering; Focus (optics); Machining; Field (mathematics); Engineering drawing; Energy (signal processing); Work (physics); Materials science; Software; Machine tool; Geometry; Computer science; Engineering; Mathematics; Physics; Optics","score_opus":0.028674745461962407,"score_gpt":0.2605058773187471,"score_spread":0.23183113185678467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1176668349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24672066,0.00053412776,0.7210486,0.00022026426,0.00010522175,0.00017712174,0.0005161731,0.005255524,0.025422314],"genre_scores_gemma":[0.824588,0.000114058545,0.16802642,0.000035943616,0.000005602765,0.000063775624,0.00034219114,0.0001282901,0.006695664],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987733,0.000013345293,0.0000054351362,0.000020536063,0.000059409867,0.000023899163],"domain_scores_gemma":[0.99978226,0.00005770424,0.000030027777,0.000054875356,0.00005824746,0.000016901533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012237455,0.0004339435,0.0003099922,0.0003970632,0.00032848466,0.00040736297,0.0010772789,0.00036833357,0.007829449],"category_scores_gemma":[0.00034249108,0.00021959632,0.00019570474,0.0005063873,0.00025508108,0.0006896096,0.000568321,0.0004317852,0.0007074768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008003888,0.00041939894,0.0016232996,0.0003134716,0.000034655597,0.00023622147,0.00017964734,0.37750453,0.14821075,0.019217445,0.008898062,0.44256216],"study_design_scores_gemma":[0.00005615356,0.0006305677,0.0014198745,0.000022321628,0.000011828851,0.00016330875,0.00006915739,0.9367148,0.042805698,0.0064896024,0.011574733,0.000041963165],"about_ca_topic_score_codex":0.0022713654,"about_ca_topic_score_gemma":0.0069208853,"teacher_disagreement_score":0.007829449,"about_ca_system_score_codex":0.0004446132,"about_ca_system_score_gemma":0.000795896,"threshold_uncertainty_score":0.026192129},"labels":[],"label_agreement":null},{"id":"W121453679","doi":"","title":"North American energy efficiency standards and labeling","year":2002,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Energy Efficiency and Management","field":"Energy","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":"Efficient energy use; Energy (signal processing); Section (typography); Special section; Energy policy; Political science; Business; Public relations; Engineering; Advertising; Renewable energy","score_opus":0.009955596736439237,"score_gpt":0.2222831121415156,"score_spread":0.21232751540507638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W121453679","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":[0.005621086,0.017994877,0.024762198,0.026408564,0.0032386286,0.0003905921,0.003888996,0.00084378873,0.9168514],"genre_scores_gemma":[0.14901222,0.041346665,0.14505045,0.028845355,0.0016398282,0.0035239193,0.018827599,0.0011362404,0.6106177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9782381,0.0035036374,0.0015286113,0.0014954178,0.01424406,0.0009902021],"domain_scores_gemma":[0.9828121,0.0030094068,0.0011090492,0.0020137923,0.010668669,0.00038697678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01044476,0.00068397773,0.0004896907,0.0073004663,0.0042491425,0.007006224,0.0025189046,0.0034857807,0.012364524],"category_scores_gemma":[0.01555402,0.00051800587,0.00065327086,0.011785593,0.0033071358,0.00391424,0.0026071388,0.0040359343,0.0048763803],"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":[0.0000396505,0.00012767983,0.0020349242,0.00043123635,0.000012426129,0.000069456255,0.0014641308,0.0007781993,0.0008336878,0.4731355,0.37985215,0.141221],"study_design_scores_gemma":[0.0000024367764,0.000008625012,0.0025217596,0.00025799565,0.0000052915366,0.000034666176,0.0003493475,0.00012895495,0.00030058683,0.01599129,0.98038405,0.000015111017],"about_ca_topic_score_codex":0.064893804,"about_ca_topic_score_gemma":0.062247578,"teacher_disagreement_score":0.9351062,"about_ca_system_score_codex":0.007339661,"about_ca_system_score_gemma":0.021810528,"threshold_uncertainty_score":0.1290322},"labels":[],"label_agreement":null},{"id":"W1481927063","doi":"10.2172/891031","title":"Energy Efficiency in Western Utility Resource Plans: Impacts onRegional Resources Assessment and Support for WGA Policies","year":2006,"lang":"en","type":"report","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Electricity; Efficient energy use; Environmental economics; Resource (disambiguation); Portfolio; Business; Electricity generation; Economics; Natural resource economics; Finance; Power (physics); Engineering; Computer science","score_opus":0.03561679843557646,"score_gpt":0.3175374148188281,"score_spread":0.2819206163832516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481927063","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5166928,0.0031107368,0.005154579,0.037686888,0.00016651677,0.0003594355,0.0015954426,0.00022385857,0.43500975],"genre_scores_gemma":[0.9741368,0.0013984337,0.003974936,0.0041096252,0.000040490573,0.00011021709,0.00080539443,0.000052264444,0.0153717],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99644804,0.0012674443,0.00014199123,0.00022349565,0.0014332102,0.00048589235],"domain_scores_gemma":[0.99516064,0.0011691948,0.0008223678,0.0003729228,0.0020478098,0.00042704868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00703659,0.00029521144,0.0002095044,0.001348411,0.001456846,0.0067682825,0.0012263989,0.0010964036,0.002963715],"category_scores_gemma":[0.014399725,0.00028164848,0.0003123721,0.003573586,0.0012562709,0.0025046684,0.0026131298,0.001186995,0.0002243924],"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":[0.00033685865,0.0004903789,0.2861901,0.00047062052,0.00029449095,0.0007024065,0.010576967,0.032983474,0.0016814446,0.29012448,0.08577049,0.2903783],"study_design_scores_gemma":[0.000071322494,0.0001894137,0.51745266,0.00086618535,0.00017116524,0.00015452786,0.023559775,0.020566812,0.0040469263,0.04001273,0.39279863,0.000109885914],"about_ca_topic_score_codex":0.23334476,"about_ca_topic_score_gemma":0.31555277,"teacher_disagreement_score":0.23334476,"about_ca_system_score_codex":0.009400993,"about_ca_system_score_gemma":0.011598122,"threshold_uncertainty_score":0.4639731},"labels":[],"label_agreement":null},{"id":"W1503681756","doi":"10.5539/ibr.v8n7p144","title":"Improving the Energy Operators Efficiency by Business Process Reengineering in Jordan","year":2015,"lang":"en","type":"article","venue":"International Business Research","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business process reengineering; Process management; Production (economics); Competition (biology); Industrial organization; Business; Business process; Process (computing); Globalization; Bureaucracy; Distribution (mathematics); Energy management; Field (mathematics); Computer science; Operations management; Energy (signal processing); Marketing; Economics; Market economy; Work in process; Microeconomics; Politics; Mathematics; Political science","score_opus":0.032438662046161186,"score_gpt":0.31679458517397646,"score_spread":0.28435592312781527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503681756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83425653,0.0047556986,0.08046049,0.0040457183,0.000065409884,0.00047713576,0.000059898703,0.00078628625,0.07509271],"genre_scores_gemma":[0.91642797,0.003148222,0.061296023,0.00033778325,0.0000361219,0.00008115461,0.00014096366,0.00010903574,0.01842267],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99772197,0.0008788945,0.00015885448,0.00021611359,0.0007869146,0.00023716994],"domain_scores_gemma":[0.9977837,0.00036800816,0.00037857308,0.00025584214,0.0009753185,0.00023854821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004952594,0.00031084273,0.0002597757,0.0009032101,0.0010628419,0.0033845662,0.00087425514,0.000791424,0.0014891955],"category_scores_gemma":[0.0029297809,0.0002371197,0.0003108416,0.0014178205,0.0008355105,0.00261891,0.0015244342,0.0006529133,0.0006890039],"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":[0.0006060395,0.0026007912,0.019147223,0.0013966445,0.00008005502,0.001563222,0.012894991,0.034015656,0.030837465,0.060195968,0.0051369364,0.831525],"study_design_scores_gemma":[0.0004455689,0.002418857,0.046948984,0.0010871646,0.00016174861,0.0016590486,0.02958655,0.1433173,0.11436311,0.04376631,0.61597127,0.00027411018],"about_ca_topic_score_codex":0.00301216,"about_ca_topic_score_gemma":0.003263445,"teacher_disagreement_score":0.004952594,"about_ca_system_score_codex":0.0018292938,"about_ca_system_score_gemma":0.0052170614,"threshold_uncertainty_score":0.026192129},"labels":[],"label_agreement":null},{"id":"W1550687944","doi":"","title":"Statistical modelling of residential electricity consumption and electricity savings by end-use","year":2008,"lang":"en","type":"article","venue":"international conference on Modelling and simulation","topic":"Energy Efficiency and Management","field":"Energy","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":"Consumption (sociology); Energy consumption; Electricity; Energy conservation; Environmental economics; Demand response; Computer science; Heating degree day; Demand management; Multivariate statistics; Engineering; Economics","score_opus":0.08913761301944022,"score_gpt":0.2937151503478701,"score_spread":0.20457753732842987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550687944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68013465,0.00067799975,0.3038584,0.00080552197,0.000043266627,0.00024545664,0.0062494935,0.000810786,0.0071743447],"genre_scores_gemma":[0.95752853,0.00067264505,0.025811596,0.000070733244,0.000037450638,0.00027744548,0.004972232,0.00016605559,0.010463325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843806,0.00072721386,0.00006687104,0.00030715976,0.00030849755,0.00015220715],"domain_scores_gemma":[0.9910994,0.0063851858,0.0009389989,0.000750292,0.0007297026,0.000096332544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032177656,0.0005674301,0.0005396221,0.0010404647,0.0002715841,0.0010106397,0.0016295555,0.00057742954,0.0030076155],"category_scores_gemma":[0.012864129,0.00050578814,0.0008720459,0.0030528419,0.00063449546,0.0010916616,0.00053260836,0.0011259404,0.0010828973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002132223,0.00021881398,0.19223388,0.00011080326,0.00038055025,0.00021487803,0.00040460017,0.6961124,0.0014313849,0.05085717,0.0031868154,0.05463554],"study_design_scores_gemma":[0.0000072703374,0.00008382433,0.07589885,0.000015646556,0.000046046942,0.00010970134,0.00012359946,0.90565056,0.0005151702,0.01489571,0.0026305872,0.000023091143],"about_ca_topic_score_codex":0.054339975,"about_ca_topic_score_gemma":0.061596736,"teacher_disagreement_score":0.054339975,"about_ca_system_score_codex":0.0017251562,"about_ca_system_score_gemma":0.0017022428,"threshold_uncertainty_score":0.108047366},"labels":[],"label_agreement":null},{"id":"W1605183480","doi":"10.5565/rev/ciencies.314","title":"Venes i artèries : del model macroscòpic al microscòpic","year":2006,"lang":"ca","type":"article","venue":"Ciències revista del professorat de ciències de Primària i Secundària","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":"Object Research Systems (Canada)","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.012470558072698019,"score_gpt":0.25793636148952054,"score_spread":0.24546580341682253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605183480","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0759303,0.005891083,0.7606392,0.012539328,0.0015491685,0.00015859521,0.0006147287,0.00093397277,0.14174366],"genre_scores_gemma":[0.8259705,0.0076243044,0.06602815,0.0013567219,0.00100399,0.0003261487,0.00024265508,0.00027747516,0.09717018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979776,0.000061697276,0.000005120918,0.00005105336,0.000055166223,0.000029224246],"domain_scores_gemma":[0.9996389,0.00013301385,0.000049753115,0.000065859946,0.00005711206,0.000055293232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042523388,0.0007867346,0.0006074364,0.0006483634,0.000593887,0.0023212172,0.0013184098,0.0022504518,0.0057501756],"category_scores_gemma":[0.0014884633,0.00057529233,0.00084718026,0.00037515792,0.0025902167,0.0024917594,0.0016217198,0.0014517868,0.00114503],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111500674,0.00012260758,0.0023045868,0.00020871506,0.00003376854,0.00030616682,0.00056706794,0.40958875,0.008841004,0.5447596,0.006772475,0.026383732],"study_design_scores_gemma":[0.00004168971,0.00010584907,0.001109487,0.00008642964,0.000027207396,0.00021943646,0.00020230247,0.84428966,0.00095527445,0.129231,0.023681317,0.000050331913],"about_ca_topic_score_codex":0.008836369,"about_ca_topic_score_gemma":0.003554397,"teacher_disagreement_score":0.008836369,"about_ca_system_score_codex":0.0010740642,"about_ca_system_score_gemma":0.0011343127,"threshold_uncertainty_score":0.019236267},"labels":[],"label_agreement":null},{"id":"W1615684352","doi":"","title":"DEVELOPMENT OF A STRATEGY FOR ENERGY EFFICIENCY IMPROVEMENT IN A KRAFT PROCESS BASED ON SYSTEMS INTERACTIONS ANALYSIS","year":2009,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Energy Efficiency and Management","field":"Energy","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":"Humanities; Political science; Physics; Philosophy","score_opus":0.011839362779317707,"score_gpt":0.2545894941148504,"score_spread":0.24275013133553267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1615684352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034825604,0.00030920503,0.9369891,0.0004871005,0.000031263196,0.00046679104,0.00007760092,0.0005604092,0.026252862],"genre_scores_gemma":[0.5588174,0.0007958298,0.42404994,0.000110716646,0.000016740665,0.0007172219,0.00019955022,0.00012536917,0.0151672745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933535,0.00019428955,0.000027825583,0.000092038135,0.00029082104,0.000059579997],"domain_scores_gemma":[0.99963045,0.00016330511,0.00003979058,0.000028196082,0.00012070152,0.000017455062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090621033,0.0008644196,0.00059714296,0.0010277447,0.00060167763,0.0017157178,0.00081701984,0.0007920125,0.0048566754],"category_scores_gemma":[0.00087617,0.00033190867,0.00096242985,0.0006091476,0.000673213,0.0011759485,0.0009797077,0.00083226775,0.00073672895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015813505,0.00022620887,0.0026318417,0.00075200544,0.000087945424,0.00040771856,0.00053173356,0.64029837,0.025529964,0.114846654,0.0016268316,0.21290258],"study_design_scores_gemma":[0.000038185437,0.00021460911,0.0008961785,0.000106139974,0.000046982503,0.000067681525,0.00034966334,0.9473891,0.012101157,0.021492885,0.01727239,0.000024994042],"about_ca_topic_score_codex":0.0069553293,"about_ca_topic_score_gemma":0.005909217,"teacher_disagreement_score":0.0069553293,"about_ca_system_score_codex":0.0015727497,"about_ca_system_score_gemma":0.003940719,"threshold_uncertainty_score":0.016247213},"labels":[],"label_agreement":null},{"id":"W1635663179","doi":"","title":"The Adoption of Residential Solar Photovoltaic Systems in the Presence of a Financial Incentive: A Case Study of Consumer Experiences with the Renewable Energy Standard Offer Program in Ontario (Canada)","year":2009,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Photovoltaic system; Incentive; Incentive program; Environmental economics; Business; Solar energy; Finance; Engineering; Economics; Electrical engineering; Microeconomics","score_opus":0.007197377682746626,"score_gpt":0.19685404232740045,"score_spread":0.18965666464465383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1635663179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448884,0.00017624395,0.00010311246,0.0010295785,0.000010022584,0.00004739915,0.0000540757,0.0000025690708,0.004088077],"genre_scores_gemma":[0.99413127,0.00061781984,0.00027828658,0.00038110136,0.0000062289046,0.000030336349,0.00004363396,0.000008140706,0.0045031053],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99814725,0.0005531956,0.0000478196,0.00014418719,0.0004383071,0.00066925056],"domain_scores_gemma":[0.99737227,0.0010744225,0.00029477497,0.000058205664,0.0006428232,0.00055751734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020087261,0.00032777266,0.00042701917,0.0006736648,0.016013483,0.0033134192,0.0014921223,0.0014085928,0.0026007772],"category_scores_gemma":[0.0034757145,0.00044387742,0.0003209469,0.0024552622,0.0057238904,0.0014605508,0.002011817,0.0017415772,0.000179906],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032161588,0.000059259073,0.008486484,0.00007772095,0.0000044308285,0.0021841908,0.9837601,0.00003928787,0.0006162403,0.000655742,0.00071078615,0.0033735675],"study_design_scores_gemma":[0.0000027925055,0.00003537423,0.009702116,0.000044921784,0.0000049716887,0.00017972381,0.9836378,0.0000594243,0.000114765295,0.000038705617,0.0061672344,0.000012208195],"about_ca_topic_score_codex":0.9360151,"about_ca_topic_score_gemma":0.9808642,"teacher_disagreement_score":0.06398487,"about_ca_system_score_codex":0.0385269,"about_ca_system_score_gemma":0.028292736,"threshold_uncertainty_score":0.2795335},"labels":[],"label_agreement":null},{"id":"W1694878828","doi":"","title":"The Evolution of Energy Service Companies (ESCOs) in Ontario: Extending the Traditional ESCO Model to Renewable Energy Contracting","year":2011,"lang":"en","type":"article","venue":"Lund University Publications Student Papers (Lund University)","topic":"Energy Efficiency and Management","field":"Energy","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":"Renewable energy; Business model; Best practice; Service (business); Business; Environmental economics; Business case; Industrial organization; Economics; Marketing; Engineering; Management; Process management","score_opus":0.034752033204535654,"score_gpt":0.19887792275362806,"score_spread":0.1641258895490924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1694878828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772106,0.00011441123,0.0003197699,0.0018428841,0.0000046553055,0.00004408839,0.00006625783,0.0000050635376,0.020392302],"genre_scores_gemma":[0.9952933,0.00013387029,0.00027302196,0.00009626686,0.0000014398141,0.000012404134,0.000030148563,0.0000036638871,0.004155844],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9978325,0.0005177659,0.00007009561,0.00013186343,0.00064685097,0.0008009298],"domain_scores_gemma":[0.99531543,0.001487075,0.00080044614,0.00019667513,0.0011513482,0.0010490086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016883719,0.000096013835,0.00014077485,0.0009889529,0.008141441,0.0027463692,0.0007206533,0.0008514078,0.0027956842],"category_scores_gemma":[0.0055497987,0.00023826235,0.00015669552,0.0029168385,0.0041733664,0.0015141468,0.0020961622,0.0006729333,0.00013060405],"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":[0.0002328318,0.00014901682,0.37154466,0.00025776433,0.00002996893,0.007762903,0.46836603,0.00332639,0.0042092237,0.06560787,0.0059618386,0.07255154],"study_design_scores_gemma":[0.00001534364,0.000092588365,0.3588364,0.00013421006,0.000013872258,0.00048329696,0.5458601,0.0034671836,0.000582565,0.0031008904,0.087364614,0.0000489219],"about_ca_topic_score_codex":0.9076526,"about_ca_topic_score_gemma":0.9642789,"teacher_disagreement_score":0.09234738,"about_ca_system_score_codex":0.060907997,"about_ca_system_score_gemma":0.048970114,"threshold_uncertainty_score":0.44192052},"labels":[],"label_agreement":null},{"id":"W1698614569","doi":"10.2172/929225","title":"Development of a performance-based industrial energy efficiency indicator for corn refining plants.","year":2006,"lang":"en","type":"report","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Argonne National Laboratory; University of Calgary; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Performance indicator; Variety (cybernetics); Environmental economics; Work (physics); Efficient energy use; Refining (metallurgy); Energy consumption; Engineering; Agricultural engineering; Computer science; Business; Marketing; Economics","score_opus":0.06509532749231128,"score_gpt":0.2649551713341262,"score_spread":0.19985984384181493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1698614569","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22841755,0.00083385897,0.55712014,0.0014993575,0.00040688872,0.006844066,0.058859926,0.006109391,0.13990879],"genre_scores_gemma":[0.32420892,0.000736033,0.6208121,0.00019263405,0.000045986006,0.0037482805,0.03255274,0.00023732825,0.017466024],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966174,0.0007830088,0.0005442012,0.00030629482,0.0016114973,0.0001376388],"domain_scores_gemma":[0.9884179,0.0028367867,0.0018831075,0.0006592641,0.0059791775,0.0002236527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062122922,0.0008006682,0.0003292136,0.0041664834,0.00041559362,0.0014444373,0.00075775094,0.00045936633,0.004710527],"category_scores_gemma":[0.016122809,0.00025512802,0.00056547154,0.005349004,0.00021398343,0.0018370802,0.0009586049,0.0010403324,0.0018401982],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002944101,0.00073042954,0.2823864,0.0008739358,0.000108113425,0.00010559961,0.0006105861,0.01856703,0.008640949,0.012322967,0.031237211,0.6441223],"study_design_scores_gemma":[0.00008271345,0.0016058524,0.62192404,0.00044749535,0.00018569839,0.00024597003,0.0019937553,0.08401588,0.052653637,0.004964568,0.23168777,0.0001926409],"about_ca_topic_score_codex":0.012285854,"about_ca_topic_score_gemma":0.015357992,"teacher_disagreement_score":0.012285854,"about_ca_system_score_codex":0.0018229038,"about_ca_system_score_gemma":0.0033178395,"threshold_uncertainty_score":0.03285414},"labels":[],"label_agreement":null},{"id":"W1760243743","doi":"","title":"Participation “pathetic” in hospital-based energy-saving program","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Service (business); Computer science; Health care; Health services; Medicine; Business; Marketing; Environmental health; Political science","score_opus":0.013285574872974203,"score_gpt":0.2271481918363824,"score_spread":0.2138626169634082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1760243743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.521742,0.0011399548,0.007262622,0.21425584,0.0019513455,0.004702574,0.0009914192,0.00048547282,0.24746883],"genre_scores_gemma":[0.88406837,0.0010756514,0.008850017,0.031152334,0.0004821898,0.0026268037,0.0009800971,0.00007589058,0.07068871],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9962525,0.0020250143,0.000072849565,0.00015448012,0.0003996415,0.0010956534],"domain_scores_gemma":[0.9959959,0.00018869662,0.00014015255,0.00011309576,0.0003152239,0.0032469714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002811598,0.00021865321,0.00013322043,0.0005606338,0.0045649395,0.0014923356,0.0011547013,0.0012293637,0.023128986],"category_scores_gemma":[0.005204159,0.00017959595,0.00028121192,0.000610732,0.0013177866,0.00074137485,0.0059285,0.0017334463,0.0016662016],"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":[0.0013871462,0.012400382,0.07580665,0.0007811483,0.00007598766,0.0012450175,0.008950719,0.00080160756,0.003387568,0.04548555,0.2858199,0.5638584],"study_design_scores_gemma":[0.0011763438,0.004542871,0.22724788,0.00094900193,0.00010527816,0.0011888142,0.02976584,0.0012234086,0.0031094619,0.017477084,0.7131043,0.00010971894],"about_ca_topic_score_codex":0.016243884,"about_ca_topic_score_gemma":0.06927433,"teacher_disagreement_score":0.023128986,"about_ca_system_score_codex":0.0044204528,"about_ca_system_score_gemma":0.027852349,"threshold_uncertainty_score":0.07737416},"labels":[],"label_agreement":null},{"id":"W1799408507","doi":"","title":"Investigating Peak Power and Energy Measurements to Identifying Process Features in CNC Endmilling","year":2015,"lang":"en","type":"article","venue":"Energy and Power","topic":"Energy Efficiency and Management","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":"University of New Brunswick","funders":"","keywords":"Machining; Process (computing); Energy consumption; Power (physics); Machine tool; Energy (signal processing); Mechanical engineering; Identification (biology); Engineering; Automotive engineering; Computer science; Electrical engineering","score_opus":0.038081155976531424,"score_gpt":0.27552970960665635,"score_spread":0.23744855363012493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1799408507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95393807,0.00020971517,0.041294467,0.000037901842,0.000019032834,0.00008168105,0.0002635618,0.00023631139,0.0039193537],"genre_scores_gemma":[0.9877379,0.0000720463,0.0104717035,0.000019798283,0.0000058404516,0.00003382708,0.00017611872,0.000059115777,0.001423643],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995566,0.000031271276,0.00001090226,0.000099531964,0.0002672073,0.000034611545],"domain_scores_gemma":[0.9992874,0.00037737747,0.000096019714,0.00006353225,0.00015460062,0.000021074151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002667809,0.00042040306,0.00039805085,0.0008625823,0.00027841373,0.00045512346,0.0006211373,0.00045409554,0.0019942343],"category_scores_gemma":[0.00092222414,0.00022742663,0.00017986157,0.00086968765,0.00040484394,0.00047801968,0.00027409615,0.0004677911,0.000303971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009188023,0.00019106305,0.027030203,0.000297411,0.000023802559,0.00055597007,0.0006499877,0.003353237,0.8866298,0.00036968806,0.0004609107,0.07951916],"study_design_scores_gemma":[0.000027076629,0.0010779983,0.3653185,0.000031541214,0.000035537832,0.000847508,0.00053942756,0.023885999,0.6048143,0.00040600172,0.0029660992,0.000049873597],"about_ca_topic_score_codex":0.00081720593,"about_ca_topic_score_gemma":0.0023743606,"teacher_disagreement_score":0.0019942343,"about_ca_system_score_codex":0.00026142874,"about_ca_system_score_gemma":0.00014338327,"threshold_uncertainty_score":0.0066713095},"labels":[],"label_agreement":null},{"id":"W1979985589","doi":"10.1680/ener.2007.160.4.151","title":"Adoption of energy efficiency innovations in new UK housing","year":2007,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Energy","topic":"Energy Efficiency and Management","field":"Energy","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":"Government (linguistics); Context (archaeology); Quarter (Canadian coin); Business; Order (exchange); Efficient energy use; Housing industry; Sociotechnical system; Marketing; Economic growth; Engineering; Economics; Finance; Management","score_opus":0.009642287591808909,"score_gpt":0.2108230125599798,"score_spread":0.20118072496817088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979985589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907924,0.00023158928,0.0002888898,0.0011095739,0.000026817792,0.000039948634,0.000014563931,0.000004305443,0.0074919527],"genre_scores_gemma":[0.9960077,0.0002752114,0.00022684324,0.00016450902,0.0000049121986,0.000020947533,0.000015193464,0.0000045953525,0.003280141],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99389815,0.003073273,0.00025104682,0.00045080233,0.0015162906,0.00081035617],"domain_scores_gemma":[0.98754996,0.0069776047,0.0018569948,0.0006297605,0.00196032,0.0010252487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00507789,0.00015315354,0.0002435315,0.00076555123,0.0023299537,0.003310995,0.0005687797,0.0010447268,0.0028672076],"category_scores_gemma":[0.016422555,0.00033410083,0.00019541125,0.0008581828,0.0026056676,0.0023889292,0.00303095,0.001212708,0.0002381506],"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":[0.00027326625,0.00039859323,0.09561709,0.00026472137,0.000022947892,0.0024840718,0.8029748,0.000369578,0.002999892,0.010824343,0.0031443832,0.08062628],"study_design_scores_gemma":[0.00004658626,0.00058380136,0.2408404,0.00037024697,0.0000242918,0.0006561818,0.66007984,0.0014139268,0.001847628,0.0011640071,0.09288441,0.000088766355],"about_ca_topic_score_codex":0.03742478,"about_ca_topic_score_gemma":0.10446949,"teacher_disagreement_score":0.03742478,"about_ca_system_score_codex":0.007974358,"about_ca_system_score_gemma":0.004119015,"threshold_uncertainty_score":0.074413896},"labels":[],"label_agreement":null},{"id":"W199880948","doi":"10.1007/bfb0006638","title":"An application of optimal control theory to the estimation of the demand for energy in canadian manufacturing industries","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Energy Efficiency and Management","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Estimation; Control (management); Energy demand; Energy (signal processing); Industrial organization; Manufacturing engineering; Economics; Business; Industrial engineering; Environmental economics; Natural resource economics; Engineering; Mathematics; Statistics; Management","score_opus":0.006283656146730653,"score_gpt":0.22082088305278236,"score_spread":0.2145372269060517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W199880948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20090191,0.012329107,0.70095426,0.0064600795,0.00052776316,0.00020949046,0.0011181246,0.00064381986,0.07685543],"genre_scores_gemma":[0.92697096,0.0027742027,0.0551345,0.00015834534,0.00007242543,0.000041622287,0.0002997788,0.00005723485,0.014490869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993424,0.000119964294,0.000025590685,0.00008157279,0.00029218025,0.00013825146],"domain_scores_gemma":[0.99923456,0.00045721678,0.000031724256,0.000024342513,0.00023219294,0.000020079231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096979854,0.0006379888,0.0008029064,0.0012657257,0.0013731649,0.0018402315,0.0014249892,0.00092805765,0.0027884992],"category_scores_gemma":[0.0049680853,0.0005647439,0.0007812064,0.002172791,0.001481348,0.00071909773,0.0006003601,0.0008557588,0.00012312578],"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":[0.00009588293,0.00006814626,0.005048863,0.00015314978,0.000060496375,0.00016659294,0.0003878977,0.7404471,0.0011159574,0.106554985,0.006880199,0.13902067],"study_design_scores_gemma":[0.000013305423,0.000019060702,0.0060083014,0.000033446388,0.000025933208,0.000018251634,0.00020667489,0.9510433,0.00064465444,0.037687365,0.004260319,0.000039356815],"about_ca_topic_score_codex":0.9560726,"about_ca_topic_score_gemma":0.9291849,"teacher_disagreement_score":0.04392737,"about_ca_system_score_codex":0.01314003,"about_ca_system_score_gemma":0.016185125,"threshold_uncertainty_score":0.09533805},"labels":[],"label_agreement":null},{"id":"W2006839294","doi":"10.4000/rei.5985","title":"Efficacité énergétique dans le bâtiment et paradoxe énergétique : quelles conséquences pour la transition énergétique ?","year":2014,"lang":"fr","type":"article","venue":"Revue d économie industrielle","topic":"Energy Efficiency and Management","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":"University of Fredericton","funders":"","keywords":"Physics","score_opus":0.016476364662819445,"score_gpt":0.22129431627314375,"score_spread":0.2048179516103243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006839294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60938364,0.011921938,0.11579268,0.084202506,0.0004625316,0.00012966526,0.0003707561,0.00012416541,0.17761217],"genre_scores_gemma":[0.986743,0.0023485166,0.004872853,0.0008258194,0.00006823538,0.00004819624,0.000040923325,0.000025319016,0.0050271377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891996,0.00042768804,0.000046407502,0.00025160547,0.00019486333,0.00015948464],"domain_scores_gemma":[0.9953165,0.0029590412,0.0007825507,0.00032664,0.00034639842,0.0002690144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002970876,0.00041715984,0.0008084652,0.00090041145,0.0011853792,0.004338646,0.0011166168,0.0018679118,0.01135265],"category_scores_gemma":[0.008084234,0.00028797262,0.00075550785,0.0010137372,0.0060049985,0.007507205,0.0023031773,0.0025468862,0.0005037863],"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":[0.00010018603,0.00015181865,0.011381059,0.000363603,0.00010686739,0.0004296084,0.0026677842,0.00795303,0.0014277129,0.95363724,0.0013988031,0.020382395],"study_design_scores_gemma":[0.000030364214,0.000059115668,0.010179041,0.00022758421,0.00004533368,0.00019109233,0.0037264305,0.009149699,0.00041314558,0.9626916,0.013237179,0.000049369064],"about_ca_topic_score_codex":0.0037298822,"about_ca_topic_score_gemma":0.004438468,"teacher_disagreement_score":0.01135265,"about_ca_system_score_codex":0.002588255,"about_ca_system_score_gemma":0.0018069536,"threshold_uncertainty_score":0.03797841},"labels":[],"label_agreement":null},{"id":"W2008740003","doi":"10.1016/j.rser.2014.07.140","title":"Strategic analysis of energy efficiency projects: Case study of a steel mill in Manitoba","year":2014,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Energy Efficiency and Management","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Payback period; Engineering; Productivity; Efficient energy use; Waste management; Environmental engineering; Environmental science; Production (economics); Economics","score_opus":0.02679892728746855,"score_gpt":0.25668677756433633,"score_spread":0.22988785027686778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008740003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819634,0.00018265165,0.0013480805,0.00067317195,0.00000507984,0.00011673073,0.000081500664,0.000010361914,0.015619033],"genre_scores_gemma":[0.9943098,0.00034102472,0.0012891378,0.000051881943,0.0000017098614,0.000022402399,0.00005341427,0.0000036003453,0.0039270823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908566,0.000355361,0.000020782862,0.00004563219,0.00016604857,0.00032656657],"domain_scores_gemma":[0.9990081,0.0003597178,0.0001152565,0.000027485637,0.0002681499,0.0002212029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010136772,0.0003658046,0.00020401496,0.0014894054,0.003501257,0.002199396,0.0009646289,0.0011930543,0.001976801],"category_scores_gemma":[0.0014193564,0.0002547967,0.0002597668,0.003289041,0.0010998312,0.00055469957,0.0011394133,0.000740831,0.0001514414],"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":[0.00078654994,0.0025573168,0.45827088,0.0011517423,0.00040557838,0.067592755,0.09015172,0.07435249,0.021983476,0.07784131,0.00897546,0.19593082],"study_design_scores_gemma":[0.00007001358,0.00086498895,0.35637143,0.0004638095,0.00015150027,0.003008227,0.5393653,0.034028646,0.004452996,0.0057997974,0.055328365,0.000094937095],"about_ca_topic_score_codex":0.33588126,"about_ca_topic_score_gemma":0.72444725,"teacher_disagreement_score":0.66411877,"about_ca_system_score_codex":0.011532215,"about_ca_system_score_gemma":0.0182261,"threshold_uncertainty_score":0.6678524},"labels":[],"label_agreement":null},{"id":"W2008741121","doi":"10.1109/pess.2002.1043191","title":"Deriving emission credits from energy efficiency projects","year":2003,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","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":"Ontario Power Generation","funders":"","keywords":"Efficient energy use; Environmental economics; Emissions trading; Flexibility (engineering); Incentive; Fossil fuel; Certification; Business; Electricity generation; Greenhouse gas; Natural resource economics; Economics; Power (physics); Engineering; Microeconomics; Electrical engineering; Waste management","score_opus":0.014142976355001167,"score_gpt":0.21988961155022158,"score_spread":0.2057466351952204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008741121","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":[0.007942962,0.0030808123,0.009502439,0.0018148316,0.0021924563,0.0009091062,0.07526502,0.0010210531,0.8982712],"genre_scores_gemma":[0.07237495,0.0053556925,0.0050454736,0.00019470918,0.00044645226,0.0003079755,0.055310242,0.00029233127,0.86067224],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910516,0.000041422154,0.00003719331,0.000049031067,0.00070678175,0.000060413324],"domain_scores_gemma":[0.99892324,0.00013393302,0.00007636996,0.00007611692,0.00074741605,0.00004284555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064006436,0.00048750686,0.0002918605,0.001187479,0.0004801203,0.0009822415,0.0007573514,0.00038236697,0.2368],"category_scores_gemma":[0.0029555412,0.0001560075,0.00023582825,0.0015937877,0.00011140413,0.00045305354,0.00039886063,0.00038827112,0.06384286],"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":[0.00011332731,0.0000689095,0.0018317628,0.00063022424,0.000011520019,0.00007666544,0.000058433397,0.002621987,0.0010566909,0.006126326,0.68925816,0.298146],"study_design_scores_gemma":[0.000020108559,0.00007500821,0.006804789,0.00014693964,0.000008943002,0.000041539854,0.00004942935,0.00083800295,0.0013624057,0.0013378969,0.98930067,0.000014269769],"about_ca_topic_score_codex":0.036248382,"about_ca_topic_score_gemma":0.0755998,"teacher_disagreement_score":0.2368,"about_ca_system_score_codex":0.001917961,"about_ca_system_score_gemma":0.0015745731,"threshold_uncertainty_score":0.79217494},"labels":[],"label_agreement":null},{"id":"W2016543931","doi":"10.6000/1929-6002.2015.04.01.2","title":"Techno-Economic Investigation of a Thermal Cure Center Excess Heat Recovery System for Producing Hot Water for a Hotel in Antsirabe Madagascar","year":2015,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Center (category theory); Waste management; Environmental engineering; Materials science; Engineering; Chemistry","score_opus":0.021904163037998525,"score_gpt":0.24431813535482158,"score_spread":0.22241397231682306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016543931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948637,0.00009706356,0.0025876297,0.0000638878,0.000010213424,0.00004751266,0.000081341,0.00003380146,0.0022147943],"genre_scores_gemma":[0.9975974,0.000072623545,0.001142846,0.0000052788087,0.00000234688,0.000018152768,0.00004349754,0.0000032108715,0.0011145363],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982506,0.00003944995,0.000007510624,0.000021819582,0.00007629208,0.000029906912],"domain_scores_gemma":[0.99991953,0.000022373688,0.000012757107,0.000008303598,0.000025233649,0.000011739706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021386206,0.00026448412,0.00021629747,0.00049138285,0.00034119614,0.00044698938,0.00036929644,0.00021470444,0.0020153604],"category_scores_gemma":[0.00020715951,0.0000882217,0.0002892229,0.00032472517,0.00021875018,0.00032659204,0.00025367463,0.00021428682,0.00013361085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024272958,0.001492066,0.03945334,0.0013984017,0.00012566437,0.0018681799,0.0003910633,0.13705339,0.6549364,0.0031609498,0.0019568314,0.1557364],"study_design_scores_gemma":[0.00017354637,0.0079006,0.11367801,0.000055357217,0.0002696238,0.0006945725,0.001946261,0.41386074,0.44879958,0.0006328764,0.011897256,0.00009150533],"about_ca_topic_score_codex":0.0033729046,"about_ca_topic_score_gemma":0.0054131015,"teacher_disagreement_score":0.0033729046,"about_ca_system_score_codex":0.00076854887,"about_ca_system_score_gemma":0.00036697663,"threshold_uncertainty_score":0.0067420006},"labels":[],"label_agreement":null},{"id":"W2017623434","doi":"10.3138/cpp.39.supplement2.s125","title":"Are There Realistic Possibilities for a Higher “Batting” Average? On Improving Residential Energy Efficiency in Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Public Policy","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":true,"route_about_ca":true,"ca_institutions":"MacEwan University; University of Alberta","funders":"","keywords":"Subsidy; Efficient energy use; Energy (signal processing); Energy policy; Business; Environmental economics; Economics; Engineering; Renewable energy","score_opus":0.014385177766842153,"score_gpt":0.21638530956205307,"score_spread":0.20200013179521092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017623434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6427985,0.009171904,0.0034314634,0.070693076,0.0003123507,0.00016837471,0.008905336,0.0002371271,0.26428184],"genre_scores_gemma":[0.9729806,0.0024166564,0.0017701067,0.002173103,0.000023343002,0.000017763177,0.0009674742,0.000030107973,0.019620858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968412,0.00025565337,0.00005570316,0.00019192525,0.0009467185,0.0017088054],"domain_scores_gemma":[0.9972995,0.00020791884,0.000103464256,0.00006307127,0.0017308447,0.00059522473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015221136,0.00025694838,0.0005286061,0.0008962738,0.0049157673,0.00250509,0.0015404036,0.00072563783,0.010052754],"category_scores_gemma":[0.0041206973,0.00016514762,0.0004926473,0.002497014,0.0010702661,0.00087353913,0.00079782703,0.0010748826,0.0003219837],"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":[0.00090781634,0.00027293395,0.2500757,0.00064758013,0.00029020963,0.00072507793,0.0067062806,0.019501502,0.0032226439,0.27004662,0.2234869,0.22411673],"study_design_scores_gemma":[0.00012320878,0.00018562077,0.7144175,0.0005005117,0.0002170638,0.00020076364,0.022059312,0.017542474,0.002075539,0.012518163,0.22993435,0.0002255914],"about_ca_topic_score_codex":0.9982686,"about_ca_topic_score_gemma":0.9994081,"teacher_disagreement_score":0.08747298,"about_ca_system_score_codex":0.08747298,"about_ca_system_score_gemma":0.114445776,"threshold_uncertainty_score":0.6346639},"labels":[],"label_agreement":null},{"id":"W2037406874","doi":"10.1115/ipc2012-90210","title":"Tools and Methods for Internal Pipe Coating Evaluation for Gas Transmission Systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","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":"Nova Chemicals (Canada)","funders":"","keywords":"Coating; Pipeline (software); Pipeline transport; Capital cost; Process engineering; Computer science; Reliability engineering; Mechanical engineering; Materials science; Automotive engineering; Environmental science; Marine engineering; Engineering; Composite material; Electrical engineering","score_opus":0.07580598090322126,"score_gpt":0.3931551558815523,"score_spread":0.31734917497833104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037406874","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":[0.003635962,0.00013591729,0.9890063,0.000022962284,0.000023325312,0.0004239603,0.0006380192,0.0024951487,0.003618393],"genre_scores_gemma":[0.08594551,0.00042629614,0.9072312,0.000026991302,0.000012272019,0.0018975427,0.0008648912,0.0005522467,0.003043098],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969374,0.0005548519,0.00022634024,0.00018474992,0.001993399,0.00010323964],"domain_scores_gemma":[0.99538475,0.0021275186,0.0005942463,0.00044185366,0.0014152159,0.000036417932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027559614,0.0018538138,0.0009623744,0.005294873,0.0005517905,0.0015527641,0.0018582881,0.00092963246,0.009195414],"category_scores_gemma":[0.010084068,0.00062960404,0.0011388621,0.0026902312,0.0006391265,0.001302106,0.0010099891,0.0010267153,0.0014858844],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010977632,0.00031320585,0.0054210867,0.0018523149,0.00010770564,0.00038653726,0.00034360323,0.39050612,0.039788455,0.043715633,0.008387259,0.50906837],"study_design_scores_gemma":[0.000039878978,0.00037483795,0.003647185,0.00030264916,0.00006592325,0.00040027982,0.00023688894,0.8766273,0.066243306,0.013214716,0.038692005,0.00015509238],"about_ca_topic_score_codex":0.0038637782,"about_ca_topic_score_gemma":0.0043471945,"teacher_disagreement_score":0.009195414,"about_ca_system_score_codex":0.0011612844,"about_ca_system_score_gemma":0.0016875025,"threshold_uncertainty_score":0.030761719},"labels":[],"label_agreement":null},{"id":"W2038829357","doi":"10.1016/j.enbuild.2012.11.006","title":"An explanation of residential energy-efficiency retrofit behavior in Canada","year":2012,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Energy Efficiency and Management","field":"Energy","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Audit; Incentive; Upgrade; Business; Incentive program; Government (linguistics); Finance; Energy (signal processing); Environmental economics; Actuarial science; Public economics; Economics; Accounting; Microeconomics; Computer science","score_opus":0.00782972395094341,"score_gpt":0.21899219164740602,"score_spread":0.2111624676964626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038829357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81230897,0.00062505045,0.0032961774,0.005882497,0.000037781956,0.00009020382,0.0014198939,0.00014858884,0.17619088],"genre_scores_gemma":[0.9850081,0.0002543388,0.0006318879,0.000100493366,0.0000025388633,0.000007525705,0.00014449145,0.000017148011,0.013833352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995999,0.00004016263,0.000012731509,0.00003920814,0.000107527114,0.00020049416],"domain_scores_gemma":[0.9990965,0.00013710718,0.00006120519,0.0000428854,0.0005655356,0.00009677821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034444005,0.00026647077,0.00028774596,0.0008489851,0.0046539963,0.0027530915,0.0014608379,0.00080006296,0.013628372],"category_scores_gemma":[0.0017264294,0.00020146043,0.0004633993,0.0021835712,0.0010808526,0.00067541306,0.0005906285,0.00088438386,0.00041764748],"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":[0.0003208913,0.00037724187,0.2765304,0.00016643963,0.000064625965,0.0020172412,0.023333354,0.044075266,0.0022850826,0.54624254,0.031150736,0.07343624],"study_design_scores_gemma":[0.00012719477,0.00009493933,0.48866767,0.00023705505,0.00013112728,0.0006835756,0.11570726,0.16288388,0.0023337004,0.049223863,0.1796726,0.00023709098],"about_ca_topic_score_codex":0.99650925,"about_ca_topic_score_gemma":0.99759537,"teacher_disagreement_score":0.04683529,"about_ca_system_score_codex":0.04683529,"about_ca_system_score_gemma":0.034670144,"threshold_uncertainty_score":0.33981538},"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":"W204654408","doi":"","title":"A comparative study of standard contract conditions for energy performance contracting in Australia, Canada and the United States","year":2014,"lang":"en","type":"article","venue":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","topic":"Energy Efficiency and Management","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":"Economics; Business","score_opus":0.04295873573868776,"score_gpt":0.30369516236192706,"score_spread":0.2607364266232393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W204654408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97481525,0.00057517434,0.00029965828,0.0006781795,0.000022563023,0.00013849155,0.0004253446,0.000012025236,0.023033276],"genre_scores_gemma":[0.9980861,0.00015828085,0.00018622477,0.00011086284,0.000003581257,0.000033770008,0.00022550675,0.000005243754,0.0011905765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99208426,0.001892922,0.0004921822,0.00029676486,0.0033867673,0.0018471092],"domain_scores_gemma":[0.9559114,0.018419206,0.0041825958,0.0012603165,0.015083553,0.005142986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008620774,0.00012556122,0.0003711651,0.0015061586,0.0034120379,0.0033089044,0.0009935409,0.00065498904,0.0038443038],"category_scores_gemma":[0.0427214,0.00021163015,0.00027670714,0.0027859518,0.0017534774,0.0011141866,0.001168364,0.0010773265,0.00016767433],"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":[0.002015885,0.0016657696,0.8205402,0.0003618035,0.00021128278,0.00051869225,0.01586072,0.0058511808,0.0013042588,0.04587208,0.015026028,0.09077206],"study_design_scores_gemma":[0.000061986575,0.0002454993,0.9726132,0.00010826178,0.000036303187,0.000057535904,0.01666871,0.0020825511,0.00028806858,0.0007751644,0.0070300307,0.000032660704],"about_ca_topic_score_codex":0.8731865,"about_ca_topic_score_gemma":0.9352516,"teacher_disagreement_score":0.12681347,"about_ca_system_score_codex":0.02804252,"about_ca_system_score_gemma":0.047086764,"threshold_uncertainty_score":0.25512058},"labels":[],"label_agreement":null},{"id":"W2048091761","doi":"10.1177/1071181311551082","title":"Energy Management in Large Enterprises","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Energy Efficiency and Management","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Energy management; Energy (signal processing); Work (physics); Knowledge management; Energy consumption; Field (mathematics); Computer science; Business; Process management; Risk analysis (engineering); Engineering","score_opus":0.015995389590457074,"score_gpt":0.21496359153847563,"score_spread":0.19896820194801856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048091761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6809731,0.0028372887,0.016783768,0.023817545,0.00014170623,0.00014366103,0.00007920108,0.00014800338,0.27507573],"genre_scores_gemma":[0.9946497,0.000290625,0.0009738186,0.00027530076,0.000019646102,0.000012439482,0.00001396243,0.000007608818,0.0037567602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800366,0.0010624386,0.00007701698,0.00025041806,0.0003098644,0.00029662985],"domain_scores_gemma":[0.9954032,0.0022217773,0.0006372533,0.00037810305,0.00044849492,0.0009111819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026776104,0.00013358373,0.00014894368,0.00063422305,0.0027091275,0.004703883,0.0006342736,0.00095436786,0.005138748],"category_scores_gemma":[0.006276998,0.00014184337,0.00011626917,0.0011381892,0.0027079952,0.0034339111,0.0027863001,0.00074754196,0.00048068268],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021284206,0.0007316658,0.0957204,0.0003768981,0.000110074405,0.0024071254,0.090349145,0.005392412,0.0044975416,0.49189097,0.02768284,0.2806281],"study_design_scores_gemma":[0.000046487658,0.00024145612,0.15377174,0.00033168413,0.000040300754,0.00057650596,0.19874614,0.013447136,0.0020134484,0.302751,0.3279358,0.000098254386],"about_ca_topic_score_codex":0.006420056,"about_ca_topic_score_gemma":0.0075853528,"teacher_disagreement_score":0.006420056,"about_ca_system_score_codex":0.0026450118,"about_ca_system_score_gemma":0.0024811258,"threshold_uncertainty_score":0.019191027},"labels":[],"label_agreement":null},{"id":"W2048736633","doi":"10.1504/ijtcs.2013.058799","title":"Price determination in the wholesale electricity markets","year":2013,"lang":"en","type":"article","venue":"International Journal of Teaching and Case Studies","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":"Université de Sherbrooke","funders":"","keywords":"Electricity; Bidding; Electricity retailing; Business; Electricity market; Commerce; Consumption (sociology); Product (mathematics); Industrial organization; Service (business); Wholesale price index; Economics; Marketing; Monetary economics; Price level; Mid price","score_opus":0.014550151624232632,"score_gpt":0.2979465297772751,"score_spread":0.28339637815304247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048736633","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":[0.2114423,0.0031533048,0.14029026,0.0075396914,0.00044391712,0.00031329336,0.00013464887,0.00014745642,0.63653517],"genre_scores_gemma":[0.9616493,0.0008550813,0.009484644,0.00022815751,0.00011716888,0.00005675153,0.000031396157,0.0000387943,0.02753866],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977754,0.00086597446,0.00007258297,0.00024126514,0.0007390131,0.0003058038],"domain_scores_gemma":[0.9983171,0.0010665733,0.00017282862,0.00012448971,0.00022599411,0.0000930665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015288222,0.00027083888,0.00040279844,0.0004421407,0.0014581493,0.0061655845,0.00093876163,0.0023487583,0.008336078],"category_scores_gemma":[0.005022136,0.00026975342,0.00036732227,0.00068471336,0.0024088568,0.005259206,0.0015406734,0.0019546275,0.00090292876],"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":[0.00005577232,0.00008146601,0.0009096614,0.000089892164,0.000011327107,0.0022338384,0.0010062895,0.012113578,0.0013484126,0.95602894,0.0034878335,0.022632994],"study_design_scores_gemma":[0.00005648994,0.00012579217,0.0022296025,0.00013133163,0.000017994535,0.0019226973,0.0038935202,0.056831215,0.003060177,0.82328653,0.10834868,0.00009596229],"about_ca_topic_score_codex":0.0020082567,"about_ca_topic_score_gemma":0.0017612895,"teacher_disagreement_score":0.008336078,"about_ca_system_score_codex":0.0016453908,"about_ca_system_score_gemma":0.001318543,"threshold_uncertainty_score":0.027886927},"labels":[],"label_agreement":null},{"id":"W205334397","doi":"","title":"The Impact of Machining Parameters on Peak Power and Energy Consumption in CNC Endmilling","year":2013,"lang":"en","type":"article","venue":"Energy and Power","topic":"Energy Efficiency and Management","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 New Brunswick","funders":"","keywords":"Machining; Machine tool; Energy consumption; Power (physics); Mechanical engineering; Power consumption; Cnc milling; Automotive engineering; Energy (signal processing); Numerical control; Engineering; Electrical engineering; Mathematics; Statistics; Physics","score_opus":0.010344305539366945,"score_gpt":0.23993258466922915,"score_spread":0.2295882791298622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W205334397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99525815,0.0002765697,0.0028423136,0.000020002437,0.00000501409,0.00001735755,0.00015045471,0.000049372127,0.0013807224],"genre_scores_gemma":[0.9975822,0.000087962275,0.0013348734,0.000010746323,0.0000023259354,0.000010198992,0.00015791845,0.000040618284,0.0007730707],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994937,0.000054564665,0.00002683515,0.000098606164,0.00025297908,0.000073322895],"domain_scores_gemma":[0.9979645,0.0014432883,0.00017530727,0.00010398158,0.00027195166,0.000040985204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005278629,0.00037890184,0.0005710854,0.0004247617,0.00034386813,0.00064462336,0.00068506325,0.0004105745,0.0015115199],"category_scores_gemma":[0.0017848153,0.00029760358,0.00019444013,0.0008488213,0.0003470891,0.0006335588,0.00019228707,0.00047522038,0.00030880168],"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":[0.0032384072,0.00039620165,0.033126354,0.0004512086,0.000049018945,0.00081654784,0.0004448351,0.029201923,0.82797354,0.0002683048,0.0006341518,0.1033995],"study_design_scores_gemma":[0.00004843253,0.0023293109,0.23792881,0.000027833157,0.00005323485,0.00050151336,0.00035880448,0.028528865,0.7281646,0.00036622843,0.0016191327,0.00007326811],"about_ca_topic_score_codex":0.0012565461,"about_ca_topic_score_gemma":0.0035641582,"teacher_disagreement_score":0.0015115199,"about_ca_system_score_codex":0.00037415908,"about_ca_system_score_gemma":0.00014224253,"threshold_uncertainty_score":0.0050565004},"labels":[],"label_agreement":null},{"id":"W2056979383","doi":"10.1016/s0166-4972(02)00116-5","title":"Energy conservation in electric utilities: an opportunity for restorative economics at SaskPower","year":2002,"lang":"en","type":"article","venue":"Technovation","topic":"Energy Efficiency and Management","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"SaskPower; Athabasca University","keywords":"Electric utility; Incentive; Business; Environmental economics; Finance; Energy conservation; Demand response; Electricity; Industrial organization; Capital cost; Economics; Microeconomics","score_opus":0.053284465809654784,"score_gpt":0.24807410041702835,"score_spread":0.19478963460737356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056979383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5931407,0.0024384055,0.03446138,0.09047686,0.0004506658,0.00006191915,0.000060620034,0.00015838652,0.27875105],"genre_scores_gemma":[0.93625283,0.0011801355,0.0036590355,0.0006432246,0.00012632777,0.000012096352,0.000012648007,0.00003026164,0.05808354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9997112,0.00009449236,0.000005657664,0.00001891084,0.000076024495,0.000093665134],"domain_scores_gemma":[0.99955386,0.00012477287,0.000030918844,0.000026687156,0.0001151276,0.00014870486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061405014,0.00014518251,0.00011866864,0.00029771114,0.0024434424,0.0032144177,0.0005182928,0.0008757748,0.0077745826],"category_scores_gemma":[0.000909858,0.000115718336,0.00012662735,0.0004911419,0.0011934908,0.0019952462,0.0011755112,0.0012882898,0.0002658004],"study_design_candidate":"qualitative","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":[0.00017939338,0.00067863736,0.019857574,0.000105350664,0.000015458445,0.0014940107,0.0032938449,0.01786452,0.0058624567,0.6581301,0.027199987,0.2653186],"study_design_scores_gemma":[0.000040637162,0.0003932408,0.028572496,0.00017234718,0.000029670508,0.0006821842,0.02968537,0.03665575,0.007294686,0.3922465,0.50414526,0.000081921564],"about_ca_topic_score_codex":0.011071205,"about_ca_topic_score_gemma":0.051643375,"teacher_disagreement_score":0.9889288,"about_ca_system_score_codex":0.0021298241,"about_ca_system_score_gemma":0.003782443,"threshold_uncertainty_score":0.026008606},"labels":[],"label_agreement":null},{"id":"W2067276823","doi":"10.4000/vertigo.3963","title":"Protocole de kyoto : Le cas du secteur résidentiel au Canada?","year":2004,"lang":"fr","type":"article","venue":"VertigO","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Art","score_opus":0.005848745343171447,"score_gpt":0.21063903564017514,"score_spread":0.20479029029700369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067276823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81358445,0.004843056,0.030258235,0.005936273,0.00031018973,0.0008124263,0.007848804,0.0006606214,0.13574602],"genre_scores_gemma":[0.95542365,0.0020883826,0.016533589,0.00094491005,0.000023749597,0.0002538347,0.0028275724,0.00013258771,0.02177162],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605113,0.00062454474,0.00017026575,0.00050394866,0.0019674704,0.0006825822],"domain_scores_gemma":[0.99249846,0.0011089307,0.00065520604,0.00044824637,0.004878478,0.00041060755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037242111,0.0004941315,0.0005147858,0.0013619044,0.0027059151,0.0030890561,0.0011012864,0.0005633692,0.002940502],"category_scores_gemma":[0.009233702,0.000262906,0.0005459972,0.0038625854,0.0016715132,0.0014977633,0.0012444953,0.0009959381,0.00024274981],"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":[0.0011880756,0.00011217535,0.48552373,0.0016656627,0.0009975556,0.0013442973,0.012845039,0.08011624,0.009723328,0.10008818,0.027440015,0.27895576],"study_design_scores_gemma":[0.00009878181,0.00033573023,0.7342264,0.00095636805,0.00052249874,0.00027515597,0.019866835,0.02437506,0.0058109257,0.009887801,0.20330575,0.0003385729],"about_ca_topic_score_codex":0.97046316,"about_ca_topic_score_gemma":0.977675,"teacher_disagreement_score":0.030061895,"about_ca_system_score_codex":0.030061895,"about_ca_system_score_gemma":0.0678528,"threshold_uncertainty_score":0.21811533},"labels":[],"label_agreement":null},{"id":"W2070081474","doi":"10.1081/qen-120018044","title":"Quality Improvement Strategy in the Electricity Supply Industry","year":2003,"lang":"en","type":"article","venue":"Quality Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Connaught Fund; Division of Mathematical Sciences; University of Patras","keywords":"Taguchi methods; Quality (philosophy); Statistical process control; Mains electricity; Quality management; Total quality management; Electricity; Reliability engineering; Process capability; Engineering; Process (computing); Process capability index; Manufacturing engineering; Voltage; Operations management; Computer science; Work in process; Management system; Electrical engineering","score_opus":0.025885518711936447,"score_gpt":0.28081910343112587,"score_spread":0.2549335847191894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070081474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31829387,0.011850405,0.54762053,0.0129062785,0.0003241103,0.00038685877,0.00007068645,0.00070214935,0.107845105],"genre_scores_gemma":[0.9431663,0.0026039304,0.04434947,0.00048671837,0.00007744907,0.0000567175,0.000044190594,0.000025252555,0.009189919],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984394,0.00043537354,0.00006707891,0.00016942639,0.0007655653,0.00012314295],"domain_scores_gemma":[0.9993168,0.00013943976,0.00012891678,0.00004438358,0.00031468787,0.000055739925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012267955,0.00025698438,0.00017804927,0.000965353,0.00048439705,0.0019350484,0.00046743627,0.0005326038,0.00089617516],"category_scores_gemma":[0.0014457137,0.00008229633,0.00015014103,0.0010620928,0.0006330829,0.0010178912,0.000802937,0.00034654734,0.00017868023],"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":[0.000061324055,0.00024412095,0.0064347675,0.00043104438,0.00004504824,0.00037923048,0.0014398324,0.02000798,0.013685799,0.17012574,0.006469247,0.78067595],"study_design_scores_gemma":[0.0003050457,0.003685566,0.03758966,0.0010315096,0.00022133027,0.0017325794,0.0070755235,0.24778819,0.0496479,0.23536216,0.41540912,0.00015151808],"about_ca_topic_score_codex":0.0024306735,"about_ca_topic_score_gemma":0.0023655219,"teacher_disagreement_score":0.0024306735,"about_ca_system_score_codex":0.0016617491,"about_ca_system_score_gemma":0.0020887146,"threshold_uncertainty_score":0.012056887},"labels":[],"label_agreement":null},{"id":"W2076360997","doi":"10.5539/mas.v3n5p158","title":"Prospective of Energy Efficiency Practice, Indicator and Power Supplies Efficiency","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Power (physics); Environmental science; Energy (signal processing); Statistics; Mathematics; Electrical engineering; Thermodynamics; Physics; Engineering","score_opus":0.004910487216282632,"score_gpt":0.22889278033122795,"score_spread":0.22398229311494533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076360997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64524686,0.0037496006,0.015066347,0.008902218,0.0002572526,0.0002744309,0.0021971585,0.00037060629,0.3239356],"genre_scores_gemma":[0.9841792,0.00067868724,0.0032088833,0.00013790918,0.000041114934,0.00006534299,0.00046892365,0.000029475741,0.0111905215],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938689,0.0021263624,0.00062184513,0.0005651178,0.002438218,0.0003796108],"domain_scores_gemma":[0.9740577,0.007904522,0.0039785434,0.0015828036,0.010349114,0.0021273901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073938845,0.00028267852,0.00032252228,0.003586573,0.001054136,0.004435106,0.0006524076,0.0005656187,0.007488579],"category_scores_gemma":[0.024315184,0.00023001232,0.00036256312,0.0069482555,0.0017104906,0.0038856356,0.0018329568,0.0009900352,0.001499732],"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":[0.00013978637,0.00046268376,0.70407766,0.0002593084,0.000053694526,0.00013115144,0.003388675,0.001505176,0.00046176184,0.07841698,0.00917418,0.20192887],"study_design_scores_gemma":[0.000010848725,0.00026854014,0.9073217,0.0003260354,0.000039749575,0.00032757365,0.011777315,0.003452683,0.0010672886,0.012684153,0.06268525,0.000038910734],"about_ca_topic_score_codex":0.0066566076,"about_ca_topic_score_gemma":0.007175907,"teacher_disagreement_score":0.007488579,"about_ca_system_score_codex":0.0042542615,"about_ca_system_score_gemma":0.0058656246,"threshold_uncertainty_score":0.03910303},"labels":[],"label_agreement":null},{"id":"W2079541384","doi":"10.1016/j.tej.2013.12.009","title":"Are Residential Customers Price-Responsive to an Inclining Block Rate? Evidence from British Columbia","year":2014,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Block (permutation group theory); Agricultural economics; Price elasticity of demand; Business; Economics; Microeconomics; Mathematics","score_opus":0.017457470181161838,"score_gpt":0.2581131267570665,"score_spread":0.24065565657590465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079541384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797234,0.0015656417,0.000065490894,0.0028469118,0.000032706575,0.000027200975,0.0012483504,0.000007937957,0.014482402],"genre_scores_gemma":[0.9936127,0.0010203569,0.000043613363,0.0007584499,0.000017094737,0.000013030302,0.00072324363,0.00000783817,0.0038037424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975368,0.0006679975,0.00011924362,0.00025929682,0.0006829184,0.0007336735],"domain_scores_gemma":[0.97255087,0.010738003,0.005546503,0.0012697572,0.007231651,0.002663163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017993709,0.0002585728,0.0005733742,0.0012302903,0.0022489072,0.0028699562,0.00219693,0.0014772754,0.008428521],"category_scores_gemma":[0.013859791,0.0005268734,0.00057447096,0.003868867,0.0016991994,0.00094804575,0.00096166215,0.0023818735,0.00107707],"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":[0.0013016772,0.00042228753,0.97546047,0.00012832349,0.0002804728,0.0007153461,0.0018626949,0.0003644921,0.00022587938,0.0009344257,0.007954128,0.010349692],"study_design_scores_gemma":[0.00007631576,0.000061659855,0.9902534,0.00012329331,0.00020509327,0.000070311326,0.005460609,0.0003870743,0.00008637874,0.00015332545,0.0030878098,0.000034660723],"about_ca_topic_score_codex":0.9653661,"about_ca_topic_score_gemma":0.9815056,"teacher_disagreement_score":0.034633875,"about_ca_system_score_codex":0.012266856,"about_ca_system_score_gemma":0.009223944,"threshold_uncertainty_score":0.08900273},"labels":[],"label_agreement":null},{"id":"W2080372891","doi":"10.1016/j.enpol.2008.09.028","title":"Enabling technologies for industrial energy demand management","year":2008,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Manchester; Natural Resources Canada; University of Oxford; UK Energy Research Centre","keywords":"Environmental economics; Emerging technologies; Secondary sector of the economy; Exergy; Energy conservation; Process (computing); Engineering; Efficient energy use; Computer science; Process engineering; Economics; Economy","score_opus":0.03366143243394105,"score_gpt":0.2526753647221262,"score_spread":0.21901393228818516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080372891","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":[0.027744122,0.0149833495,0.26661578,0.029211158,0.0017790726,0.00020337226,0.0005719572,0.0011235884,0.65776753],"genre_scores_gemma":[0.7710128,0.03377838,0.100213,0.0026245597,0.0014741033,0.00047751082,0.00064501324,0.00022396732,0.08955067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99941385,0.00016291323,0.000033161403,0.000048588576,0.00023929117,0.00010229033],"domain_scores_gemma":[0.99929404,0.00031469992,0.000068299465,0.00013504144,0.00012604652,0.00006189815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273189,0.0005429959,0.0003126206,0.0008367817,0.0008437181,0.0032396826,0.0007619318,0.0014403894,0.012820961],"category_scores_gemma":[0.0020847337,0.00023739456,0.00036676557,0.0012992475,0.0010166164,0.0055920356,0.0022790409,0.0015712596,0.0020789623],"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":[0.000014658589,0.000036890862,0.00016444505,0.00007984043,0.0000048771763,0.00005355062,0.00008014306,0.0030605863,0.0007655429,0.94815224,0.0063390946,0.041248105],"study_design_scores_gemma":[0.000013870263,0.000037280235,0.00039114256,0.00015731022,0.00001195639,0.000084444946,0.00028077525,0.007808929,0.0024848683,0.78008014,0.20862913,0.000020200907],"about_ca_topic_score_codex":0.0013186936,"about_ca_topic_score_gemma":0.0018421174,"teacher_disagreement_score":0.012820961,"about_ca_system_score_codex":0.0013239376,"about_ca_system_score_gemma":0.0016279334,"threshold_uncertainty_score":0.04289037},"labels":[],"label_agreement":null},{"id":"W2081129361","doi":"10.1108/ijshe-07-2012-0062","title":"Barriers to energy efficiency and the uptake of green revolving funds in Canadian universities","year":2015,"lang":"en","type":"article","venue":"International Journal of Sustainability in Higher Education","topic":"Energy Efficiency and Management","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Efficient energy use; Incentive; Originality; Investment (military); Business; Value (mathematics); Public relations; Finance; Economics; Political science; Sociology; Engineering; Qualitative research; Microeconomics","score_opus":0.011761530994975334,"score_gpt":0.2722962779706491,"score_spread":0.26053474697567375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081129361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96090716,0.0010628722,0.00077264337,0.008656964,0.000050064064,0.00016380001,0.0001608167,0.00002550133,0.028200159],"genre_scores_gemma":[0.99713033,0.00032506665,0.00035043893,0.00030452124,0.00000454234,0.000020561407,0.000026655272,0.0000061974797,0.0018317255],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9785259,0.004582017,0.00094738504,0.0010183498,0.0076812184,0.0072451183],"domain_scores_gemma":[0.94203705,0.01805421,0.00913864,0.0017799945,0.018294245,0.010695841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014546996,0.00032367773,0.00057856384,0.0021457758,0.0143988645,0.0072510503,0.002173611,0.0013957628,0.0047205263],"category_scores_gemma":[0.061223917,0.00044024966,0.0004649781,0.0036677173,0.0060493792,0.0019398883,0.004479209,0.0018802286,0.00020904947],"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":[0.00076204655,0.00040967454,0.4865134,0.0016752734,0.00016450985,0.00160556,0.25002757,0.003713047,0.0025199428,0.08318134,0.014129492,0.15529813],"study_design_scores_gemma":[0.000055120137,0.00019782834,0.5880282,0.0011597836,0.0001118754,0.00022798975,0.31052715,0.0022700555,0.0017530908,0.004828634,0.09056435,0.00027586592],"about_ca_topic_score_codex":0.95652634,"about_ca_topic_score_gemma":0.9639747,"teacher_disagreement_score":0.88416684,"about_ca_system_score_codex":0.115833186,"about_ca_system_score_gemma":0.18633573,"threshold_uncertainty_score":0.8404325},"labels":[],"label_agreement":null},{"id":"W2083249006","doi":"10.1177/0954405414541105","title":"Prediction of energy consumption and environmental implications for turning operation using finite element analysis","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Energy Efficiency and Management","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":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Machining; Energy consumption; Finite element method; Mechanical engineering; Energy (signal processing); Power (physics); Power consumption; Automotive engineering; Engineering; Structural engineering","score_opus":0.014738640184752289,"score_gpt":0.20826823974525907,"score_spread":0.19352959956050678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083249006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9030035,0.00011345637,0.09221465,0.000071234994,0.000016272399,0.000050761155,0.00027861877,0.0002194184,0.004032154],"genre_scores_gemma":[0.9858474,0.00008490368,0.012959558,0.0000062496647,0.000001741059,0.000048700225,0.00015958522,0.000016936843,0.00087499834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999913,0.000023103928,0.000005288973,0.000010496514,0.000033353717,0.000014747138],"domain_scores_gemma":[0.99965227,0.00025493267,0.000024297637,0.000019044663,0.000041010226,0.000008507121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702348,0.00039857332,0.0003324179,0.0005600976,0.00025512557,0.0004180163,0.00038633344,0.000742672,0.0010788086],"category_scores_gemma":[0.00065104605,0.00024703328,0.00049992325,0.00034633005,0.00021000241,0.00031957752,0.00017625776,0.00026860725,0.00019157227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043606986,0.00005655657,0.0033213699,0.000045714158,0.000008523323,0.00004368478,0.00002620171,0.98084587,0.00871825,0.00040782487,0.00006734205,0.0064149885],"study_design_scores_gemma":[0.000001537439,0.000022028144,0.0011164875,0.0000029045955,0.0000034147952,0.0000070701763,0.000018851357,0.99618477,0.0024367312,0.00012379486,0.0000789391,0.0000034834347],"about_ca_topic_score_codex":0.0033630705,"about_ca_topic_score_gemma":0.0040672086,"teacher_disagreement_score":0.0033630705,"about_ca_system_score_codex":0.00037762767,"about_ca_system_score_gemma":0.00029710095,"threshold_uncertainty_score":0.0066869855},"labels":[],"label_agreement":null},{"id":"W2083609364","doi":"10.1016/j.cirp.2011.03.002","title":"Greenhouse gases emitted in manufacturing a product—A new economic model","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Energy Efficiency and Management","field":"Energy","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Greenhouse gas; Scope (computer science); Machining; Work (physics); Sensitivity (control systems); Product (mathematics); Production (economics); Economic model; Product lifecycle; Engineering; Computer science; Manufacturing engineering; Environmental economics; Economics; New product development; Mechanical engineering; Microeconomics","score_opus":0.08237624585543134,"score_gpt":0.261037712342451,"score_spread":0.17866146648701964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083609364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067775056,0.0051365,0.7170336,0.016430765,0.0015682324,0.00019815138,0.00088113185,0.00019826402,0.1907783],"genre_scores_gemma":[0.86702204,0.009103863,0.038550682,0.0009107614,0.0011603744,0.00046787868,0.00034946614,0.00015074205,0.08228413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992086,0.0004349214,0.00002432993,0.00010392066,0.00016153396,0.00006676653],"domain_scores_gemma":[0.99858475,0.0010437493,0.00012519908,0.00005317461,0.00012844316,0.000064700005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016427619,0.0021090505,0.0011943243,0.0015139623,0.0009695146,0.003158962,0.0026155692,0.0044589574,0.0059448723],"category_scores_gemma":[0.0029386184,0.0009754996,0.0017593364,0.0017350807,0.0025802525,0.007399924,0.001850609,0.0033244432,0.00076945056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054637647,0.000087920256,0.0003298002,0.000111123496,0.00004273954,0.00016961884,0.000045301822,0.6801226,0.00045840914,0.3112873,0.0023717778,0.0049187606],"study_design_scores_gemma":[0.000027226235,0.000055815937,0.00015982287,0.000027839744,0.00003686507,0.00005379471,0.000050008373,0.8940091,0.00014646728,0.10102332,0.004384243,0.000025468902],"about_ca_topic_score_codex":0.005660402,"about_ca_topic_score_gemma":0.0048466832,"teacher_disagreement_score":0.0059448723,"about_ca_system_score_codex":0.002262554,"about_ca_system_score_gemma":0.001249031,"threshold_uncertainty_score":0.019887626},"labels":[],"label_agreement":null},{"id":"W2089591866","doi":"10.2495/wm060261","title":"Waste incineration in Swedish municipal energy systems","year":2006,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Energy Efficiency and Management","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":"Engineering Link (Canada)","funders":"","keywords":"Incineration; Waste management; Mobile incinerator; Waste-to-energy; Electricity generation; Environmental science; Electricity; Cleaner production; Coal; Fossil fuel; Refuse-derived fuel; Municipal solid waste; Engineering; Environmental engineering; Waste collection; Power (physics)","score_opus":0.0040665668569678,"score_gpt":0.16479918245115127,"score_spread":0.16073261559418348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089591866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8430249,0.008118323,0.04790617,0.00094035314,0.00008122303,0.00013565106,0.00085876696,0.0003582421,0.09857627],"genre_scores_gemma":[0.98580253,0.0015427603,0.0037613665,0.00003017287,0.0000086113405,0.000031844964,0.0003715022,0.000050139643,0.008401132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991399,0.00029326216,0.000062396255,0.000066433204,0.00026798228,0.00016999942],"domain_scores_gemma":[0.9996118,0.00017604568,0.000054862234,0.000039745875,0.000098451485,0.000019149486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045795547,0.00040722417,0.00052754226,0.0012358057,0.0010412495,0.0028036826,0.00037184882,0.00067927496,0.003908598],"category_scores_gemma":[0.0013721518,0.00035509284,0.0006745704,0.0031350844,0.0005412411,0.001061893,0.000764638,0.0004546025,0.00048065424],"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":[0.00027184724,0.00018934319,0.015598515,0.001152998,0.00014500013,0.0021817142,0.0011937143,0.6799975,0.010262651,0.15651159,0.0042494526,0.12824562],"study_design_scores_gemma":[0.0001270943,0.00042776144,0.028875526,0.00053679664,0.0002970322,0.0029702247,0.006058212,0.46538875,0.041590128,0.25295746,0.20059651,0.00017441934],"about_ca_topic_score_codex":0.024771195,"about_ca_topic_score_gemma":0.018784566,"teacher_disagreement_score":0.024771195,"about_ca_system_score_codex":0.0026607774,"about_ca_system_score_gemma":0.001521029,"threshold_uncertainty_score":0.049254},"labels":[],"label_agreement":null},{"id":"W2091514320","doi":"10.1111/1541-0064.00006","title":"Innovations to reduce residential energy use and carbon emissions: an integrated approach","year":2003,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Energy Efficiency and Management","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Impact; University of Waterloo","funders":"","keywords":"Greenhouse gas; Environmental economics; Efficient energy use; Context (archaeology); Business; Energy consumption; Sustainability; Kyoto Protocol; Government (linguistics); Ratification; Sociotechnical system; Consumption (sociology); Environmental resource management; Economics; Engineering; Political science; Sociology","score_opus":0.013771279534616265,"score_gpt":0.20547097994255106,"score_spread":0.1916997004079348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091514320","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":[0.21082819,0.037721828,0.2580677,0.051788878,0.0009995819,0.0023160812,0.00016133787,0.00077522936,0.43734124],"genre_scores_gemma":[0.8779754,0.015805129,0.088065974,0.0021440003,0.00020261323,0.0006830349,0.00007009663,0.000049709073,0.015004023],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99658006,0.0017081859,0.00011480545,0.00028911396,0.0009823366,0.00032556124],"domain_scores_gemma":[0.9991763,0.00037387008,0.00010625498,0.00006106211,0.00017955402,0.000102917824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025860611,0.0008026112,0.00071628223,0.0031463066,0.0011370936,0.005606989,0.0018370583,0.0027137992,0.0034289344],"category_scores_gemma":[0.00203021,0.00034462658,0.00081903365,0.001894202,0.0030385978,0.00336207,0.004711873,0.0015884889,0.0003496637],"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":[0.00012213376,0.002529728,0.00807591,0.0027716067,0.0005217054,0.00043094406,0.010765708,0.027447717,0.0053139306,0.3164204,0.0066219238,0.61897814],"study_design_scores_gemma":[0.00027342117,0.0023409612,0.035912268,0.0062125768,0.0013922096,0.0007626628,0.05539631,0.081648685,0.009513074,0.45619512,0.35015464,0.00019811049],"about_ca_topic_score_codex":0.0045006266,"about_ca_topic_score_gemma":0.009058255,"teacher_disagreement_score":0.9954994,"about_ca_system_score_codex":0.0064972206,"about_ca_system_score_gemma":0.008233512,"threshold_uncertainty_score":0.047140837},"labels":[],"label_agreement":null},{"id":"W2092982803","doi":"10.5547/issn0195-6574-ej-vol32-no4-6","title":"Electric Utility Demand Side Management in Canada","year":2011,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Ottawa","funders":"","keywords":"Subsidy; Electricity; Economics; Electric utility; Demand side; Government (linguistics); Consumption (sociology); Electricity demand; Natural resource economics; Public economics; Demand management; Environmental economics; Electricity generation; Macroeconomics; Market economy; Engineering","score_opus":0.015334158296385562,"score_gpt":0.1927239416228953,"score_spread":0.17738978332650973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092982803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91864645,0.0013365695,0.0009638175,0.0037585055,0.000029120369,0.000082205996,0.0065020374,0.000091220514,0.06859018],"genre_scores_gemma":[0.9703948,0.0009820464,0.0007214446,0.00029638113,0.000007745197,0.000015800157,0.0022133805,0.00001575132,0.025352696],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992163,0.00004175088,0.000018475268,0.00006348134,0.00036829902,0.0002917208],"domain_scores_gemma":[0.99866235,0.00015397879,0.00013021607,0.000029503846,0.0008016685,0.00022225511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004658037,0.00016210406,0.00022770131,0.00065836764,0.0013488722,0.0011603473,0.0007060143,0.00024471298,0.004606497],"category_scores_gemma":[0.0016354136,0.00017367359,0.00029591084,0.0021151286,0.0003678637,0.00031630992,0.0004453848,0.0005605414,0.00020650732],"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":[0.0003962195,0.0004794585,0.695081,0.00034596407,0.00017359588,0.0010223417,0.002347347,0.04454218,0.0025387954,0.03755415,0.0619454,0.1535736],"study_design_scores_gemma":[0.00004017907,0.00007946592,0.8847912,0.00011970662,0.00008695166,0.00014680027,0.0052583665,0.021750048,0.0012677595,0.0011704012,0.08522482,0.0000643507],"about_ca_topic_score_codex":0.9965624,"about_ca_topic_score_gemma":0.9987078,"teacher_disagreement_score":0.066584624,"about_ca_system_score_codex":0.066584624,"about_ca_system_score_gemma":0.06816739,"threshold_uncertainty_score":0.4831075},"labels":[],"label_agreement":null},{"id":"W2109627613","doi":"","title":"ENERGY SHADOW VALUE AS A MARGINAL ECONOMIC MEASURE OF ENERGY EFFICIENCY: AN INTUITIVE AND THEORETICAL PERSPECTIVE","year":2007,"lang":"en","type":"article","venue":"","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":"University of Calgary","funders":"","keywords":"Shadow price; Economics; Measure (data warehouse); Efficient energy use; Energy intensity; Econometrics; Energy (signal processing); Function (biology); Marginal value; Microeconomics; Computer science; Mathematics; Mathematical optimization; Statistics; Engineering","score_opus":0.0056491598162844645,"score_gpt":0.23641032163325867,"score_spread":0.2307611618169742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109627613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044572882,0.002820623,0.85234004,0.0039156126,0.00027670356,0.000055685887,0.00015994576,0.00010583754,0.095752686],"genre_scores_gemma":[0.90877956,0.0017734328,0.08127848,0.00031244583,0.00027255985,0.00010938997,0.00006725106,0.00010652903,0.0073003573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990171,0.00034636288,0.000045923734,0.00016801697,0.00033305518,0.0000893723],"domain_scores_gemma":[0.9985808,0.0007852093,0.00014833556,0.00022323299,0.00020082263,0.000061615654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015297163,0.00062996295,0.00062713365,0.0015403221,0.0006051009,0.0034162367,0.0012116301,0.00090186903,0.0050166375],"category_scores_gemma":[0.0036714065,0.00031311694,0.0008024253,0.0011420236,0.0054390226,0.0063856663,0.0017578898,0.0018507413,0.00040502902],"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":[0.0000024633284,0.0000051295688,0.00014367372,0.00001860155,0.0000037751822,0.000010456768,0.000036017558,0.0038658918,0.00019169555,0.99260473,0.0001696792,0.0029479684],"study_design_scores_gemma":[0.0000026786427,0.000019567537,0.0004588526,0.00004217162,0.0000065165336,0.00006468181,0.00008721354,0.021424195,0.00065667514,0.9669011,0.010323652,0.000012620047],"about_ca_topic_score_codex":0.00070461107,"about_ca_topic_score_gemma":0.00059057673,"teacher_disagreement_score":0.0050166375,"about_ca_system_score_codex":0.002714881,"about_ca_system_score_gemma":0.0008560234,"threshold_uncertainty_score":0.019697964},"labels":[],"label_agreement":null},{"id":"W2121996838","doi":"10.2308/apin-10359","title":"Triple Bottom Line Accounting and Energy-Efficiency Retrofits in the Social-Housing Sector: A Case Study","year":2013,"lang":"en","type":"article","venue":"Accounting and the Public Interest","topic":"Energy Efficiency and Management","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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Triple bottom line; Factoring; Accounting; Investment (military); Perspective (graphical); Accounting information system; Value (mathematics); Business; Energy (signal processing); Qualitative property; Investment decisions; Finance; Political science; Computer science","score_opus":0.02842652806738575,"score_gpt":0.2601583703820216,"score_spread":0.23173184231463587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121996838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878876,0.00013840561,0.0016836758,0.00084058166,0.000017210514,0.00013044145,0.00004318247,0.000007560203,0.009251263],"genre_scores_gemma":[0.99609107,0.00019004464,0.001567062,0.00006964587,0.0000065056556,0.000043191016,0.00001702327,0.0000038460316,0.0020116842],"study_design_codex":"qualitative","study_design_gemma":"case_report","domain_scores_codex":[0.99514776,0.0034346657,0.00008730356,0.00014899437,0.00054468855,0.0006366245],"domain_scores_gemma":[0.9944423,0.003731764,0.00053794135,0.00037218514,0.00037469628,0.00054102106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051504867,0.00043133702,0.0003584011,0.0013901296,0.0069442885,0.002553334,0.0012503797,0.0019105033,0.0036056496],"category_scores_gemma":[0.004519612,0.00027185507,0.00034073959,0.002139639,0.0042077666,0.0020544338,0.002446812,0.0014515091,0.0002914684],"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":[0.00072476536,0.005668716,0.1046962,0.0008855503,0.000098987126,0.10141117,0.57871497,0.0097773,0.005066257,0.08074643,0.007558187,0.10465149],"study_design_scores_gemma":[0.0000458095,0.0008921543,0.023239769,0.0003604662,0.00003705286,0.006668225,0.91121155,0.007908539,0.005155609,0.0050176983,0.039397605,0.00006559292],"about_ca_topic_score_codex":0.009413248,"about_ca_topic_score_gemma":0.024110645,"teacher_disagreement_score":0.009413248,"about_ca_system_score_codex":0.0035105057,"about_ca_system_score_gemma":0.0030051945,"threshold_uncertainty_score":0.027238667},"labels":[],"label_agreement":null},{"id":"W2122934910","doi":"10.1016/j.jenvman.2009.11.009","title":"A multi-period optimization model for energy planning with CO2 emission consideration","year":2010,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Energy Efficiency and Management","field":"Energy","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"Carnegie Mellon University; U.S. Department of Energy","keywords":"Electricity; Linear programming; Electricity generation; Integer programming; Electricity demand; Energy conservation; Limit (mathematics); Energy planning; Operations research; Environmental economics; Mathematical optimization; Environmental science; Engineering; Power (physics); Economics; Renewable energy; Mathematics","score_opus":0.010818576114149499,"score_gpt":0.22084635264712998,"score_spread":0.2100277765329805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122934910","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17193891,0.0020020024,0.7806386,0.0020123995,0.00036071544,0.0003156431,0.0018915212,0.00053808035,0.040302187],"genre_scores_gemma":[0.9468004,0.0006350817,0.037405502,0.00011604599,0.00005864285,0.00037572987,0.000415947,0.00008649652,0.014106126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948263,0.00022093451,0.00001984754,0.00009906674,0.00007469875,0.000102765654],"domain_scores_gemma":[0.9993424,0.0004088717,0.00007258737,0.000019310599,0.00008397595,0.00007289135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011129243,0.0011323192,0.0020249537,0.00075674074,0.00083881384,0.0021631792,0.002025635,0.0031218748,0.005926893],"category_scores_gemma":[0.0017798406,0.001366775,0.0012918893,0.0014239834,0.0007188863,0.0015576035,0.00108448,0.001683046,0.00044043598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001616674,0.000008458417,0.00006162131,0.000011106755,0.000010594836,0.000023708175,0.000005202614,0.997928,0.0000746177,0.0010642858,0.00010987439,0.0006862394],"study_design_scores_gemma":[0.000008303553,0.000011117411,0.00006116997,0.0000022937616,0.0000055728547,0.0000037621505,0.0000043280534,0.9991399,0.000028781176,0.00057241187,0.00015854713,0.00000383663],"about_ca_topic_score_codex":0.031828064,"about_ca_topic_score_gemma":0.02245619,"teacher_disagreement_score":0.031828064,"about_ca_system_score_codex":0.0020523681,"about_ca_system_score_gemma":0.0024762775,"threshold_uncertainty_score":0.06328565},"labels":[],"label_agreement":null},{"id":"W2122994438","doi":"","title":"Testing and rating non-ducted air conditioners in Malaysia: The applicability of ISO standard 5151","year":2002,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Energy Efficiency and Management","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conditioners; Air conditioning; Harmonization; Energy consumption; Electricity; Test (biology); Work (physics); Efficient energy use; Environmental economics; Consumption (sociology); Engineering; Operations management; Environmental engineering; Mechanical engineering; Economics; Electrical engineering","score_opus":0.010012158668172606,"score_gpt":0.228906260514892,"score_spread":0.2188941018467194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122994438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564326,0.0010727232,0.030861963,0.0001835563,0.00007369439,0.00036244933,0.00043003846,0.0002656944,0.010317232],"genre_scores_gemma":[0.982722,0.00047963354,0.013867352,0.000027991573,0.000007915599,0.000069299174,0.00042064514,0.000023696608,0.0023814186],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99040234,0.0024851144,0.0011237533,0.000610857,0.0050891084,0.00028881134],"domain_scores_gemma":[0.99180484,0.0017340465,0.0014510347,0.0007512421,0.004095768,0.00016298395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004537732,0.00071052474,0.00031121817,0.0011400882,0.00045639815,0.0009081751,0.0009096833,0.0005897066,0.00079216267],"category_scores_gemma":[0.007944982,0.00022015732,0.00031882283,0.0009960567,0.00062335446,0.001065963,0.00059762265,0.00029179928,0.0005746857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002129121,0.0007078545,0.43375087,0.0014456491,0.00007960326,0.0008468202,0.0026718508,0.012479027,0.18492724,0.0015481459,0.002497729,0.35691607],"study_design_scores_gemma":[0.00006382904,0.0052262247,0.66051066,0.0004016164,0.00012771269,0.0018001121,0.003951554,0.02648296,0.28670922,0.0008955745,0.013676044,0.00015458926],"about_ca_topic_score_codex":0.0062343897,"about_ca_topic_score_gemma":0.011342374,"teacher_disagreement_score":0.0062343897,"about_ca_system_score_codex":0.0007333027,"about_ca_system_score_gemma":0.0009737511,"threshold_uncertainty_score":0.023998082},"labels":[],"label_agreement":null},{"id":"W2123265807","doi":"10.1016/j.apenergy.2010.04.023","title":"Energy optimization in a pulp and paper mill cogeneration facility","year":2010,"lang":"en","type":"article","venue":"Applied Energy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Teacher Education Program; University of British Columbia","funders":"","keywords":"Cogeneration; Mill; Profit (economics); Engineering; Electricity; Purchasing; Waste management; Electricity generation; Process engineering; Operations management; Mechanical engineering; Economics; Power (physics); Electrical engineering","score_opus":0.005978770680138491,"score_gpt":0.18985985614479592,"score_spread":0.18388108546465742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123265807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824881,0.000082702696,0.008976424,0.00031098528,0.000017135391,0.000062931234,0.00018195435,0.00018465253,0.007695221],"genre_scores_gemma":[0.99484694,0.000024728764,0.0025032635,0.000013736604,0.000002941604,0.000024075565,0.00007331148,0.000018295386,0.0024926472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968636,0.00007523715,0.000010666024,0.00004188253,0.00007029915,0.00011546175],"domain_scores_gemma":[0.99973696,0.000119102486,0.000023262082,0.0000149090165,0.000055374487,0.000050394046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040757272,0.0004984523,0.0008995051,0.0005516612,0.0022680743,0.0014147379,0.0008275983,0.0012633692,0.00369011],"category_scores_gemma":[0.0005303879,0.00042054316,0.0004668274,0.0007785841,0.00044717602,0.00072441733,0.0006145261,0.00061636005,0.00032523702],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018014885,0.0008929827,0.0080859205,0.00012712879,0.000047096546,0.0010138477,0.000120211924,0.93274486,0.028280927,0.0017567186,0.0013385419,0.023790343],"study_design_scores_gemma":[0.0001777474,0.0015367814,0.012177863,0.000010404618,0.00004586995,0.00012305829,0.000644263,0.9603764,0.022213627,0.0013118351,0.0013241789,0.000057947294],"about_ca_topic_score_codex":0.010653506,"about_ca_topic_score_gemma":0.014459835,"teacher_disagreement_score":0.010653506,"about_ca_system_score_codex":0.0020493134,"about_ca_system_score_gemma":0.0013424251,"threshold_uncertainty_score":0.021182954},"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":"medium"}],"label_agreement":"agree"},{"id":"W213080541","doi":"10.15173/esr.v10i1.429","title":"Citizen and Consumer Attitudes Towards Electricity Industry Restructuring: An Ontario (Canada) Case-Study","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"CITES; Restructuring; Nothing; Sustainability; Purchasing; Notice; Ivory tower; Business; Environmental ethics; Marketing; Political science; Law; Ecology","score_opus":0.05536933471292328,"score_gpt":0.3095339184668894,"score_spread":0.2541645837539661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W213080541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756749,0.0006884805,0.0000910418,0.0025276637,0.000014359314,0.00010812431,0.0002551785,0.0000041660737,0.020636095],"genre_scores_gemma":[0.9872541,0.0020821663,0.0002667567,0.00080207695,0.000010044236,0.00006863466,0.00018813495,0.000008276903,0.009319863],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99788123,0.00046988763,0.000054186938,0.00012488666,0.0006152855,0.0008545163],"domain_scores_gemma":[0.9962084,0.0011508096,0.00045752214,0.0001240312,0.0013617885,0.00069741154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016567641,0.0003584245,0.00039413368,0.0019292964,0.018280385,0.002602137,0.0011790757,0.0021401308,0.0035547684],"category_scores_gemma":[0.0038864696,0.00035495963,0.00038048966,0.0076608886,0.004233985,0.001093409,0.002020751,0.0018331619,0.00023293433],"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":[0.00024470183,0.001048991,0.2360351,0.00037262007,0.000055093817,0.01223059,0.68583685,0.0006030312,0.00094301073,0.019360565,0.015912225,0.027357206],"study_design_scores_gemma":[0.000065006345,0.00015990362,0.20338488,0.000275137,0.00006111412,0.0010739538,0.73964405,0.00067146827,0.00029317537,0.0006185826,0.053678032,0.00007477705],"about_ca_topic_score_codex":0.9945688,"about_ca_topic_score_gemma":0.99810886,"teacher_disagreement_score":0.10376866,"about_ca_system_score_codex":0.10376866,"about_ca_system_score_gemma":0.059644848,"threshold_uncertainty_score":0.75289786},"labels":[],"label_agreement":null},{"id":"W2132129307","doi":"","title":"Making the Most of Energy Data: A Handbook for Facility Managers, Owners, and Operators","year":2012,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Energy Efficiency and Management","field":"Energy","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":"Pacific Northwest National Laboratory; Lawrence Berkeley National Laboratory; Building Technologies Program; U.S. Department of Energy","keywords":"Facility management; Energy (signal processing); Division (mathematics); Efficient energy use; Engineering; Architectural engineering; Operations research; Engineering management; Library science; Management; Aeronautics; Computer science; Business; Marketing; Economics; Mathematics; Electrical engineering","score_opus":0.03520945342968903,"score_gpt":0.2439551380096327,"score_spread":0.20874568457994366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132129307","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":[0.0044658026,0.07873445,0.33284804,0.10629319,0.012101306,0.005462762,0.05560361,0.071443655,0.3330472],"genre_scores_gemma":[0.020749196,0.10073207,0.49667826,0.024294125,0.0049581076,0.007066367,0.05809889,0.017815456,0.26960742],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919634,0.0022194737,0.0016564521,0.0003329058,0.0034939358,0.00033375729],"domain_scores_gemma":[0.9481641,0.022885393,0.0025077274,0.005280016,0.017773967,0.0033888076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010690585,0.003135873,0.002027557,0.0074521597,0.0022579902,0.007507777,0.0044521336,0.003510037,0.04703526],"category_scores_gemma":[0.032960337,0.0028142838,0.00091583765,0.009050918,0.0015033488,0.022448922,0.0052552135,0.007441875,0.067042895],"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":[0.000017829972,0.00006381511,0.00030685027,0.00025442758,0.0000060743832,0.000071078364,0.0005473657,0.00033307803,0.0004401438,0.0016617696,0.84287727,0.15342024],"study_design_scores_gemma":[0.000008177405,0.000015663312,0.00043041978,0.00039008746,0.0000037794905,0.00014368357,0.0006592617,0.00019264375,0.00017637687,0.0021360447,0.995817,0.000026870095],"about_ca_topic_score_codex":0.0057446877,"about_ca_topic_score_gemma":0.008206375,"teacher_disagreement_score":0.04703526,"about_ca_system_score_codex":0.0016989302,"about_ca_system_score_gemma":0.009287443,"threshold_uncertainty_score":0.15734857},"labels":[],"label_agreement":null},{"id":"W2141689028","doi":"","title":"Managing Energy Consumption through a Computerized Decision Supporting System","year":2002,"lang":"th","type":"article","venue":"วารสารวิจัยและพัฒนา มจธ.","topic":"Energy Efficiency and Management","field":"Energy","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":"Flexibility (engineering); Energy consumption; Order (exchange); Computer science; Energy management; Risk analysis (engineering); Decision support system; Quarter (Canadian coin); Consumption (sociology); Energy (signal processing); Operations research; Operations management; Engineering; Business; Economics; Artificial intelligence","score_opus":0.029719412541285958,"score_gpt":0.25531589947822525,"score_spread":0.2255964869369393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141689028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07690324,0.00014064234,0.88015866,0.0007979163,0.000079995094,0.00051280623,0.0012941626,0.020932475,0.019180154],"genre_scores_gemma":[0.6582747,0.00028214208,0.3302208,0.00017547327,0.00006233464,0.00060669245,0.0015302767,0.00018715906,0.008660431],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994448,0.00012579652,0.000053833883,0.00011840299,0.00021011134,0.000046956633],"domain_scores_gemma":[0.9986418,0.0008350053,0.000091022266,0.00015073446,0.00021002542,0.00007143465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011817046,0.0006651157,0.0005357639,0.0008920353,0.00059722376,0.0027428013,0.001311719,0.00080450554,0.010761893],"category_scores_gemma":[0.0023527986,0.00028615317,0.00036405885,0.0008416529,0.00040207623,0.0017113147,0.00057379843,0.00055302447,0.0018202428],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009809652,0.0007574163,0.004380288,0.00023830977,0.00009140877,0.00050742493,0.00040039184,0.4610474,0.013967022,0.03278463,0.016493779,0.46835098],"study_design_scores_gemma":[0.0001758859,0.00015175881,0.0004710887,0.000050536826,0.00005718975,0.000086377506,0.00009370138,0.9633711,0.007982738,0.0135532515,0.013971275,0.000035115572],"about_ca_topic_score_codex":0.0052894237,"about_ca_topic_score_gemma":0.0035244564,"teacher_disagreement_score":0.010761893,"about_ca_system_score_codex":0.000885813,"about_ca_system_score_gemma":0.0015538749,"threshold_uncertainty_score":0.0360021},"labels":[],"label_agreement":null},{"id":"W2149064954","doi":"10.1080/01998595.2010.10121752","title":"Measurement and Verification of Energy Efficiency Savings in Industrial Facilities: The flaw of using energy intensities to determine savings","year":2010,"lang":"en","type":"article","venue":"Energy Engineering","topic":"Energy Efficiency and Management","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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Efficient energy use; Energy intensity; Energy (signal processing); Energy accounting; Energy engineering; Environmental economics; Process (computing); Engineering; Operations management; Environmental science; Automotive engineering; Computer science; Economics; Electrical engineering; Statistics; Mathematics","score_opus":0.02418485470850167,"score_gpt":0.19900720604322686,"score_spread":0.17482235133472518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149064954","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":[0.7542835,0.00035437613,0.22674413,0.00072771776,0.00013348657,0.0005089711,0.00046416034,0.00052080455,0.016262777],"genre_scores_gemma":[0.96100557,0.000059423262,0.03810026,0.000051432828,0.000009185018,0.0001574418,0.00008247696,0.00002150461,0.0005126376],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9604657,0.0144270575,0.0027689054,0.0020960167,0.019608328,0.0006339314],"domain_scores_gemma":[0.93645984,0.029254936,0.0077572544,0.010771053,0.015417143,0.00033981042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016723905,0.0006021116,0.0006843852,0.001739458,0.0008049392,0.0017715682,0.0017992072,0.0009906339,0.00082612375],"category_scores_gemma":[0.04461558,0.0005553823,0.0005172626,0.0021702638,0.0017914763,0.0020925256,0.0013852958,0.00094429427,0.00036541824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014388002,0.0014469691,0.42197007,0.0011825206,0.0004830812,0.0005465535,0.003954511,0.06623127,0.06629453,0.02543417,0.0027001416,0.40831748],"study_design_scores_gemma":[0.00019348325,0.003994213,0.3862465,0.0007266989,0.00026430495,0.00091776403,0.006382406,0.25531876,0.28903124,0.032983884,0.023406515,0.0005342014],"about_ca_topic_score_codex":0.0052069714,"about_ca_topic_score_gemma":0.0046155266,"teacher_disagreement_score":0.016723905,"about_ca_system_score_codex":0.001961627,"about_ca_system_score_gemma":0.001775242,"threshold_uncertainty_score":0.088445485},"labels":[],"label_agreement":null},{"id":"W2157611347","doi":"","title":"The social cost of new construction residential space heating in British Columbia","year":2006,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"BC Hydro; Duke Energy","keywords":"Subsidy; Equity (law); Environmental economics; Electricity; Politics; Public economics; Greenhouse gas; Context (archaeology); Economics; Business; Finance; Natural resource economics; Engineering; Political science; Market economy","score_opus":0.006748163454172622,"score_gpt":0.20751590920919533,"score_spread":0.2007677457550227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157611347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.955479,0.0003280866,0.00015306851,0.0015441116,0.000008705506,0.000030669227,0.0004815098,0.000011086099,0.041963812],"genre_scores_gemma":[0.9885358,0.0003121425,0.0001188103,0.000053233496,0.0000016089554,0.000011911779,0.00013153684,0.0000038997355,0.01083107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992248,0.00015999681,0.000018726307,0.000037664246,0.00019986749,0.0003589534],"domain_scores_gemma":[0.9991647,0.00022596004,0.00006405065,0.00003024269,0.00035888868,0.00015620077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038965733,0.00019247289,0.00020843843,0.0006814013,0.0023689272,0.002475717,0.0006347228,0.000435173,0.0059403847],"category_scores_gemma":[0.002036741,0.00018146931,0.00017748652,0.001447034,0.001032202,0.00040979357,0.0008699106,0.000730122,0.00019114932],"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":[0.0020103527,0.000785105,0.33634424,0.0007616279,0.00030589415,0.004201236,0.0130803045,0.17611627,0.01171018,0.18286978,0.03590393,0.23591104],"study_design_scores_gemma":[0.00015842653,0.00028555474,0.7543976,0.00032559788,0.00018226593,0.00043959802,0.063838586,0.074736655,0.003933034,0.014879106,0.086631626,0.00019208975],"about_ca_topic_score_codex":0.96546805,"about_ca_topic_score_gemma":0.98652595,"teacher_disagreement_score":0.065141365,"about_ca_system_score_codex":0.065141365,"about_ca_system_score_gemma":0.022576192,"threshold_uncertainty_score":0.47263592},"labels":[],"label_agreement":null},{"id":"W2158339149","doi":"10.1109/pecon.2012.6450335","title":"Energy conservation through lighting audit","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","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":"WSP (Canada)","funders":"","keywords":"Energy conservation; Electricity; Audit; Energy management; Relocation; Energy consumption; Smart lighting; Schedule; Environmental economics; Efficient energy use; LED lamp; Computer science; Automotive engineering; Business; Architectural engineering; Energy (signal processing); Engineering; Electrical engineering; Accounting","score_opus":0.021754789134464703,"score_gpt":0.24000805760130545,"score_spread":0.21825326846684073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158339149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5557738,0.0016435338,0.2948866,0.0044186674,0.00034709432,0.001402311,0.0012484515,0.0060394434,0.13424006],"genre_scores_gemma":[0.9611323,0.00044861357,0.028529452,0.0001919865,0.000028109753,0.00009226806,0.00027819714,0.00005863304,0.009240451],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984492,0.00055733725,0.00007675851,0.00014897263,0.00056641776,0.0002013081],"domain_scores_gemma":[0.9974957,0.00060406904,0.0006021344,0.00060346816,0.00058212783,0.00011236684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001309037,0.00035214375,0.00032300755,0.0011356517,0.00061908504,0.0014864433,0.00067253294,0.00046340728,0.0039293426],"category_scores_gemma":[0.003929578,0.0001777753,0.00022940214,0.0014600536,0.00038846512,0.0014999348,0.000867387,0.0005923708,0.00087522255],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056159927,0.001056481,0.048559703,0.00039248934,0.000052193547,0.00030531528,0.00044896503,0.037996035,0.018756222,0.014521124,0.014096325,0.8632536],"study_design_scores_gemma":[0.00030351878,0.0018437299,0.19899745,0.0009249083,0.00027559692,0.0018316322,0.005519112,0.33131534,0.17071745,0.06350074,0.22449274,0.00027780188],"about_ca_topic_score_codex":0.0028127132,"about_ca_topic_score_gemma":0.004229476,"teacher_disagreement_score":0.0039293426,"about_ca_system_score_codex":0.00075148145,"about_ca_system_score_gemma":0.0024429427,"threshold_uncertainty_score":0.01314497},"labels":[],"label_agreement":null},{"id":"W2169152892","doi":"10.1109/pes.2009.5275597","title":"Proposed principles for the evaluation and funding of DSM projects","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Electricity; Efficient energy use; Margin (machine learning); Process (computing); Quarter (Canadian coin); Business; Energy policy; Electric power industry; Environmental economics; Electricity generation; Economics; Engineering; Computer science; Renewable energy","score_opus":0.10219319848635255,"score_gpt":0.3282298723929375,"score_spread":0.22603667390658494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169152892","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01541225,0.0017366572,0.48658225,0.080836385,0.0026930885,0.054967154,0.0021816501,0.0024090677,0.3531815],"genre_scores_gemma":[0.0727224,0.001220845,0.75837445,0.011841048,0.0010598443,0.03932496,0.0010392909,0.0004198008,0.1139974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.7960671,0.062434286,0.029868873,0.0098737385,0.08545323,0.016302751],"domain_scores_gemma":[0.8324723,0.038093425,0.015381486,0.014682185,0.08868906,0.010681476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1713056,0.0017344333,0.0013375991,0.01002885,0.0063130064,0.025382172,0.008593916,0.019582713,0.014540082],"category_scores_gemma":[0.14708297,0.0027693189,0.0026218176,0.005636895,0.007917049,0.009229794,0.010616273,0.01121195,0.010833292],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000124961,0.0005904289,0.0025942365,0.00094674795,0.00006608309,0.00045526205,0.0021942125,0.004554946,0.0022990862,0.8159957,0.08317229,0.08700605],"study_design_scores_gemma":[0.00066766527,0.0007797874,0.0069355695,0.002431013,0.00012155668,0.0005365908,0.0016950486,0.008047293,0.0055400645,0.21021307,0.76264435,0.00038802362],"about_ca_topic_score_codex":0.013386324,"about_ca_topic_score_gemma":0.020530712,"teacher_disagreement_score":0.1713056,"about_ca_system_score_codex":0.016379815,"about_ca_system_score_gemma":0.11235286,"threshold_uncertainty_score":0.9059614},"labels":[],"label_agreement":null},{"id":"W2169584671","doi":"10.1109/pess.2000.868797","title":"Energy and environment performance improvement program - case sudy of opportunities","year":2000,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Computer science; Energy (signal processing); Reliability engineering; Engineering","score_opus":0.0178983822262724,"score_gpt":0.2058404216442791,"score_spread":0.1879420394180067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169584671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79729646,0.00032938868,0.003536308,0.024112673,0.00043867572,0.0009852303,0.00028906026,0.00016153113,0.17285074],"genre_scores_gemma":[0.9373477,0.0002819633,0.0024827893,0.004181339,0.00014953877,0.00054306845,0.00017313515,0.000022852044,0.05481753],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984994,0.00028789195,0.000027520493,0.00008744935,0.00022187304,0.0008758728],"domain_scores_gemma":[0.9975285,0.0004902796,0.0000983467,0.00009675016,0.00019820707,0.0015878864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015609672,0.00022576674,0.00018525013,0.0008518829,0.006489481,0.0020658763,0.0010046958,0.002541551,0.014514428],"category_scores_gemma":[0.0023961347,0.00023954912,0.0003503499,0.0005564083,0.0012585195,0.0009038597,0.0024184173,0.002312348,0.0006336657],"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":[0.0029472597,0.03524552,0.2064067,0.00068281015,0.000097739874,0.07238818,0.013451344,0.0044953823,0.0072715613,0.09334533,0.09798718,0.465681],"study_design_scores_gemma":[0.0013492134,0.016576864,0.36772674,0.0006763873,0.00019513475,0.025978435,0.084319994,0.009830594,0.012038765,0.024518857,0.4565924,0.00019656097],"about_ca_topic_score_codex":0.008949235,"about_ca_topic_score_gemma":0.042481683,"teacher_disagreement_score":0.014514428,"about_ca_system_score_codex":0.0018365539,"about_ca_system_score_gemma":0.010569506,"threshold_uncertainty_score":0.048555553},"labels":[],"label_agreement":null},{"id":"W2186615853","doi":"","title":"Availability and Pricing of ENERGY STAR Room Air Conditioners","year":2005,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Star (game theory); Incentive; Energy (signal processing); Order (exchange); Economics; Business; Microeconomics; Geography; Finance; Mathematics; Statistics","score_opus":0.007482829464701724,"score_gpt":0.2125171770960348,"score_spread":0.20503434763133307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186615853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936289,0.000095413736,0.0007317345,0.00012563843,0.000004295733,0.000010554425,0.00024797153,0.000018007371,0.005137573],"genre_scores_gemma":[0.9982437,0.000032003783,0.00021134951,0.0000073269366,0.000005415529,0.0000036188114,0.00018693019,0.0000051547845,0.0013044623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988642,0.0004126868,0.00005871206,0.00014556327,0.00039577522,0.00012314918],"domain_scores_gemma":[0.993626,0.0031945382,0.0016276032,0.00054133974,0.0006746984,0.00033582238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017948,0.00012852004,0.0002318694,0.00072951865,0.0003717324,0.001210841,0.00082002545,0.00045049808,0.010485698],"category_scores_gemma":[0.007322699,0.00030165276,0.0003770458,0.0006884089,0.00030882144,0.0018392132,0.00044657793,0.0006153774,0.0008707739],"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":[0.002618904,0.0014376608,0.88450724,0.0001492565,0.00016496268,0.00082488655,0.0011388321,0.019465365,0.0084166,0.007264054,0.0034627588,0.07054943],"study_design_scores_gemma":[0.00003296895,0.0007861829,0.94224304,0.000028331275,0.000048159396,0.00039646227,0.0010094225,0.046212777,0.0030137226,0.0021925946,0.00399503,0.000041254756],"about_ca_topic_score_codex":0.008731146,"about_ca_topic_score_gemma":0.013043232,"teacher_disagreement_score":0.010485698,"about_ca_system_score_codex":0.0010597303,"about_ca_system_score_gemma":0.00028169467,"threshold_uncertainty_score":0.035078168},"labels":[],"label_agreement":null},{"id":"W2189079474","doi":"","title":"Market Transformation for Clothes Dryers: Lessons Learned from the European Experience","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","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":"Clothing; Efficient energy use; Agency (philosophy); Promotion (chess); Business; European market; Government (linguistics); Heat pump; Engineering; Environmental economics; Commerce; Mechanical engineering; Political science; Economics","score_opus":0.07003173611710826,"score_gpt":0.29011028359299484,"score_spread":0.22007854747588657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189079474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4840157,0.04508277,0.005093605,0.12105837,0.0013410668,0.0000983005,0.00023364977,0.00015620074,0.34292033],"genre_scores_gemma":[0.9215975,0.025417432,0.0029898905,0.018355714,0.00030687553,0.00003966244,0.00022084157,0.0001297872,0.030942349],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996467,0.0013028984,0.00016770446,0.00037268232,0.00095341634,0.0007362738],"domain_scores_gemma":[0.9960906,0.0018272267,0.00029023693,0.00016628881,0.00071647274,0.0009092222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009943519,0.00044064556,0.00041920508,0.0008275309,0.0029637362,0.008676851,0.00093877537,0.002811042,0.006799821],"category_scores_gemma":[0.0050810277,0.00017607785,0.0005324617,0.0015029409,0.003622785,0.008211666,0.0034959537,0.0031216226,0.0008375344],"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":[0.00061143906,0.0017511768,0.016146187,0.0014619543,0.000072537754,0.005832762,0.12762849,0.0010856363,0.0051150145,0.22920324,0.09260346,0.5184881],"study_design_scores_gemma":[0.000035219826,0.00046817033,0.015959984,0.0013426885,0.000024632718,0.0015797614,0.12303759,0.0004367911,0.0032617406,0.010081439,0.8436954,0.00007661885],"about_ca_topic_score_codex":0.006016243,"about_ca_topic_score_gemma":0.01040014,"teacher_disagreement_score":0.009943519,"about_ca_system_score_codex":0.0041169203,"about_ca_system_score_gemma":0.003958943,"threshold_uncertainty_score":0.052586973},"labels":[],"label_agreement":null},{"id":"W2196841402","doi":"10.2139/ssrn.2217029","title":"Agency for Change: The Promotion of Energy Efficiency through Institutional Innovation","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Agency (philosophy); Promotion (chess); Business; Efficient energy use; Institutional change; Industrial organization; Environmental economics; Public administration; Political science; Economics; Sociology; Engineering; Politics; Social science","score_opus":0.03507430114013168,"score_gpt":0.2798951115826955,"score_spread":0.2448208104425638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2196841402","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":[0.038335826,0.009280826,0.041092183,0.10800486,0.0020295375,0.00016077478,0.00009857402,0.00036539952,0.80063206],"genre_scores_gemma":[0.9454097,0.0052737775,0.006458145,0.0025967134,0.00078080763,0.00014975545,0.00004172725,0.00007098125,0.039218493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.991336,0.0051869024,0.00023848999,0.0008396213,0.001613998,0.0007848898],"domain_scores_gemma":[0.9786324,0.012297946,0.0022737945,0.003104526,0.0018234692,0.0018680053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009142102,0.00040961336,0.00041975913,0.0015717107,0.0024604087,0.011497208,0.0011077009,0.004836708,0.017441373],"category_scores_gemma":[0.022522708,0.000236828,0.00065499585,0.0021545035,0.007139273,0.007680398,0.005030504,0.0034778789,0.0021879016],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005823513,0.000123213,0.0011631963,0.00015596929,0.00002489186,0.00006269347,0.0008564534,0.00056143134,0.00027529782,0.9190359,0.012850128,0.06483253],"study_design_scores_gemma":[0.0001242693,0.00019872497,0.0034145373,0.0005310101,0.000057797093,0.0001423486,0.001892965,0.0033115654,0.0016866031,0.6941568,0.29443753,0.00004587448],"about_ca_topic_score_codex":0.0010020384,"about_ca_topic_score_gemma":0.0010545187,"teacher_disagreement_score":0.017441373,"about_ca_system_score_codex":0.0029935134,"about_ca_system_score_gemma":0.0064326483,"threshold_uncertainty_score":0.058347166},"labels":[],"label_agreement":null},{"id":"W2226115170","doi":"","title":"Maestria en energias renovables y eficienca energética en la universidad de Quebec","year":2011,"lang":"es","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.010864127804541615,"score_gpt":0.2236248538173662,"score_spread":0.21276072601282459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2226115170","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83793,0.02282262,0.002180857,0.010406394,0.00041487836,0.000081956896,0.0033277161,0.00017423034,0.12266136],"genre_scores_gemma":[0.8468411,0.011238995,0.0012401426,0.000485426,0.00006944664,0.000035040295,0.0010097737,0.000044912078,0.13903518],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945587,0.00008834502,0.000017302633,0.00007282006,0.00018411472,0.0001815646],"domain_scores_gemma":[0.99849594,0.0002547043,0.000093734176,0.00004256646,0.00091932464,0.00019383001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010491752,0.00028812283,0.00033809335,0.0015580597,0.00334298,0.0023968278,0.0006112526,0.0005442986,0.0067663244],"category_scores_gemma":[0.0017410617,0.00020850245,0.00034961852,0.0022639623,0.00079028384,0.00072534574,0.000723559,0.0011375183,0.0003731558],"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":[0.0007803385,0.00051292573,0.397499,0.00065085664,0.0002353412,0.0028422067,0.02174635,0.0126431305,0.004130907,0.045506164,0.08603872,0.42741397],"study_design_scores_gemma":[0.00002008233,0.00006496345,0.69986695,0.0003583166,0.000066058004,0.00018715711,0.018009415,0.0032267538,0.0010605367,0.000617066,0.27646318,0.0000595336],"about_ca_topic_score_codex":0.9923913,"about_ca_topic_score_gemma":0.99615353,"teacher_disagreement_score":0.049399063,"about_ca_system_score_codex":0.049399063,"about_ca_system_score_gemma":0.04018853,"threshold_uncertainty_score":0.35841697},"labels":[],"label_agreement":null},{"id":"W2235932414","doi":"10.55016/ojs/sppp.v7i1.42455","title":"Energy Efficiency: Finding Leadership Opportunities","year":2014,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Energy Efficiency and Management","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":"University of Calgary","funders":"Ontario Power Authority; Government of Alberta; U.S. Department of Energy","keywords":"Energy (signal processing); Efficient energy use; Business; Environmental economics; Computer science; Engineering; Economics; Physics; Electrical engineering","score_opus":0.15806431161038476,"score_gpt":0.2995112542741457,"score_spread":0.14144694266376096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235932414","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":[0.02870041,0.014563612,0.00729061,0.35408446,0.008131542,0.00015447738,0.00015223524,0.00041119513,0.5865114],"genre_scores_gemma":[0.5357041,0.012312193,0.0072443844,0.07122573,0.0016733839,0.00022714316,0.00036852524,0.00032560565,0.37091893],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938425,0.0011945864,0.000060731563,0.00033350414,0.0009978558,0.0035708204],"domain_scores_gemma":[0.98915184,0.0009304959,0.00019534446,0.00023552997,0.0014554695,0.00803127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005136801,0.00064592005,0.00033193303,0.001172656,0.0127861835,0.012098168,0.0018953155,0.0034879728,0.033950236],"category_scores_gemma":[0.0049095787,0.0003477898,0.0003381127,0.0012717649,0.008324347,0.005886184,0.007982076,0.0052689686,0.0062387246],"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":[0.00006531837,0.00026185592,0.0050570853,0.0003381778,0.000016423564,0.000483208,0.016187182,0.00024939878,0.00064659974,0.19059058,0.5686797,0.21742444],"study_design_scores_gemma":[0.000017378024,0.000044905348,0.0022852027,0.00033111934,0.000004088013,0.00005609214,0.026276875,0.00013849653,0.00015482795,0.015298834,0.9553761,0.000016137627],"about_ca_topic_score_codex":0.048846986,"about_ca_topic_score_gemma":0.18529782,"teacher_disagreement_score":0.048846986,"about_ca_system_score_codex":0.0167407,"about_ca_system_score_gemma":0.036555212,"threshold_uncertainty_score":0.12146288},"labels":[],"label_agreement":null},{"id":"W2272963283","doi":"","title":"Development of Market Penetration for High Energy Efficiency Technologies in Alberta’s Residential Sector","year":2016,"lang":"en","type":"article","venue":"World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market penetration; Penetration (warfare); Business; Efficient energy use; Engineering; Marketing; Operations research; Electrical engineering","score_opus":0.005104381534644914,"score_gpt":0.21446280699432269,"score_spread":0.20935842545967778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272963283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95469856,0.0003790333,0.0004596828,0.00033590657,0.000007747425,0.000023478457,0.00087032904,0.000034477736,0.043190885],"genre_scores_gemma":[0.99433786,0.00012934185,0.00018712964,0.000021482168,0.000002566817,0.0000035991768,0.00025157112,0.0000035470687,0.0050628106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994424,0.00005445556,0.000013104054,0.000056801786,0.00025057845,0.00018263575],"domain_scores_gemma":[0.99747074,0.0006049451,0.00031579097,0.00004676553,0.0012237856,0.00033800612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008258629,0.00017520915,0.00009501224,0.0019902238,0.00057331217,0.0023898578,0.0007215346,0.0004756987,0.0067504416],"category_scores_gemma":[0.0021891627,0.00014648266,0.00026922647,0.0020092614,0.000443998,0.0012859545,0.00059623277,0.0004223013,0.00052390597],"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":[0.0010869328,0.00039678047,0.7943201,0.00018265464,0.00007398864,0.001717301,0.003952251,0.010410614,0.015721736,0.03737525,0.008552128,0.12621027],"study_design_scores_gemma":[0.000014654704,0.00017777341,0.9607827,0.000056983958,0.000024385743,0.0001847721,0.0061185844,0.010781732,0.0031004813,0.00075703906,0.017977346,0.000023736851],"about_ca_topic_score_codex":0.5277034,"about_ca_topic_score_gemma":0.67391294,"teacher_disagreement_score":0.4722966,"about_ca_system_score_codex":0.01143058,"about_ca_system_score_gemma":0.0063965525,"threshold_uncertainty_score":0.9501561},"labels":[],"label_agreement":null},{"id":"W2286772262","doi":"10.1504/ijex.2015.069315","title":"Investigation of sustainability in machining processes: exergy analysis of turning operations","year":2015,"lang":"en","type":"article","venue":"International Journal of Exergy","topic":"Energy Efficiency and Management","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":"","keywords":"Exergy; Sustainability; Energy consumption; Process (computing); Machining; Exergy efficiency; Process engineering; Computer science; Environmentally friendly; Environmental science; Manufacturing engineering; Mechanical engineering; Engineering","score_opus":0.025034155551435143,"score_gpt":0.3002684995792066,"score_spread":0.27523434402777147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286772262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.570161,0.0017311628,0.41408247,0.0001612489,0.000025103029,0.00011235472,0.00015593777,0.00007621146,0.013494566],"genre_scores_gemma":[0.9886486,0.0005003477,0.009434393,0.000007182867,0.0000044076473,0.000032358384,0.00007187928,0.000021154669,0.0012798154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982375,0.000043032724,0.000007002491,0.000019530811,0.000080375474,0.000026409392],"domain_scores_gemma":[0.99984515,0.00009836897,0.000015601741,0.0000106799125,0.000025162133,0.0000050506965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462008,0.0005168575,0.00052798976,0.00068680313,0.00020371831,0.0006391579,0.00034179032,0.00048144197,0.00074872404],"category_scores_gemma":[0.0005770813,0.00016923637,0.00071893254,0.00052393373,0.0004581825,0.0008012536,0.00037066688,0.00034997953,0.00009576933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011359426,0.00015199387,0.0055755544,0.00045956078,0.00007726608,0.0003001562,0.00014629003,0.8463988,0.06836169,0.014954963,0.00014324726,0.06331691],"study_design_scores_gemma":[0.0000129010305,0.00030343546,0.014270272,0.000044935587,0.000051013376,0.00022792228,0.00019729714,0.9102762,0.051416084,0.020760855,0.002407882,0.00003127111],"about_ca_topic_score_codex":0.0010672549,"about_ca_topic_score_gemma":0.0011636623,"teacher_disagreement_score":0.0010672549,"about_ca_system_score_codex":0.00045333564,"about_ca_system_score_gemma":0.00043223985,"threshold_uncertainty_score":0.0032892227},"labels":[],"label_agreement":null},{"id":"W2287355940","doi":"","title":"Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes","year":2015,"lang":"en","type":"preprint","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Energy Efficiency and Management","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":"Carleton University","funders":"","keywords":"Electricity; Consumption (sociology); Per capita; Energy consumption; Leasehold estate; Environmental economics; Economics; Energy (signal processing); Agricultural economics; Business; Engineering; Electrical engineering","score_opus":0.01574790408147034,"score_gpt":0.2116093057602984,"score_spread":0.19586140167882807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287355940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96254,0.00017948549,0.0018994572,0.0018370604,0.00004762319,0.00009387114,0.02176542,0.000110404886,0.011526709],"genre_scores_gemma":[0.9709517,0.00015520763,0.00075302215,0.00027187282,0.000027183614,0.00009183303,0.02228604,0.000036444173,0.005426713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867994,0.0006098171,0.000053789197,0.00028123974,0.00018010178,0.00019500237],"domain_scores_gemma":[0.9953815,0.0020770908,0.0011397473,0.00045348363,0.00065515726,0.0002931551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011592103,0.00028562985,0.00030606796,0.0005837017,0.00032694283,0.0015585739,0.0010820816,0.0009600583,0.007657576],"category_scores_gemma":[0.0103689,0.00024815532,0.00059220346,0.0019494959,0.00052574114,0.0009849938,0.0012120364,0.0015397809,0.0016338052],"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":[0.0011535225,0.00073856674,0.8434119,0.00023228656,0.000424752,0.0003123007,0.0012577571,0.053737704,0.0008237677,0.016115643,0.054259814,0.027531924],"study_design_scores_gemma":[0.000146726,0.00025053183,0.8824505,0.00008525387,0.00011771386,0.0000679381,0.0041401354,0.07848405,0.0018767884,0.0067989244,0.025469,0.00011247792],"about_ca_topic_score_codex":0.18639898,"about_ca_topic_score_gemma":0.18258743,"teacher_disagreement_score":0.18639898,"about_ca_system_score_codex":0.0027875155,"about_ca_system_score_gemma":0.0011295585,"threshold_uncertainty_score":0.37062806},"labels":[],"label_agreement":null},{"id":"W2297676655","doi":"10.2139/ssrn.2703947","title":"Information Provision, Market Incentives, and Household Electricity Consumption: Evidence from a Large-Scale Field Trial","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Incentive; Consumption (sociology); Scale (ratio); Electricity; Business; Public economics; Economics; Microeconomics; Geography; Engineering","score_opus":0.01854027435480539,"score_gpt":0.244394591236247,"score_spread":0.22585431688144159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297676655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623305,0.02179341,0.0011180396,0.0048106033,0.00078975415,0.0019373138,0.0017982204,0.000058090845,0.005364109],"genre_scores_gemma":[0.9920368,0.003508029,0.00073732133,0.0011143433,0.00036838144,0.0009023276,0.0004923146,0.0000129450455,0.0008274418],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9862598,0.010874328,0.0008002394,0.00089543493,0.00047768257,0.00069250853],"domain_scores_gemma":[0.92419505,0.05910056,0.0092915455,0.0035473078,0.0011994621,0.0026660534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015468185,0.0011390364,0.0027881558,0.0004779315,0.0010994567,0.002300004,0.0014812519,0.004859485,0.013014126],"category_scores_gemma":[0.066707246,0.0008137073,0.00284153,0.0013856852,0.0032575144,0.0027085352,0.0011163816,0.0048452257,0.0011379931],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.88506603,0.02316612,0.022223167,0.0062422147,0.015276235,0.00014315378,0.0005571149,0.0010469126,0.0003758111,0.0011894346,0.004628418,0.040085487],"study_design_scores_gemma":[0.76473755,0.115853146,0.07175231,0.0037180171,0.02595949,0.0002479333,0.0010178137,0.0019760681,0.00089310174,0.00576601,0.007881483,0.00019703446],"about_ca_topic_score_codex":0.0035593521,"about_ca_topic_score_gemma":0.0042200177,"teacher_disagreement_score":0.015468185,"about_ca_system_score_codex":0.0013647493,"about_ca_system_score_gemma":0.0023894873,"threshold_uncertainty_score":0.081804514},"labels":[],"label_agreement":null},{"id":"W2301564705","doi":"10.14288/1.0074027","title":"Steering transformative energy efficiency and conservation in British Columbia, Canada","year":2013,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy conservation; Transformative learning; Efficient energy use; Energy (signal processing); Geography; Environmental resource management; Environmental planning; Environmental science; Engineering; Sociology; Mathematics","score_opus":0.004070142126808261,"score_gpt":0.13894335944320121,"score_spread":0.13487321731639296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301564705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7514346,0.004574461,0.0037301194,0.018482361,0.00024675694,0.0005454364,0.0016491059,0.00020217612,0.2191349],"genre_scores_gemma":[0.96428907,0.0016035672,0.00223621,0.0010768751,0.0000086835,0.00009480849,0.00043917843,0.00003647675,0.030215079],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9964504,0.00055374374,0.00009363908,0.00034240846,0.0012053605,0.0013545139],"domain_scores_gemma":[0.9930692,0.0006634279,0.0002267353,0.00021173371,0.003957846,0.0018711443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023145678,0.0003487231,0.00036808854,0.0012664914,0.010345299,0.0045366595,0.001646661,0.00075637916,0.005078119],"category_scores_gemma":[0.0063492917,0.000315782,0.00028406992,0.0034592177,0.0039801826,0.001032354,0.002629526,0.0016805257,0.00037065204],"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":[0.00068636273,0.00061051256,0.23674242,0.0014851976,0.00026425853,0.002246172,0.05006149,0.0189943,0.005226627,0.12646493,0.09904373,0.4581741],"study_design_scores_gemma":[0.00014060929,0.0002482442,0.49125636,0.0013242047,0.00014526086,0.0002800518,0.12233015,0.009807717,0.0031403422,0.008795909,0.36221346,0.00031773973],"about_ca_topic_score_codex":0.9976882,"about_ca_topic_score_gemma":0.99924517,"teacher_disagreement_score":0.16311377,"about_ca_system_score_codex":0.16311377,"about_ca_system_score_gemma":0.2784332,"threshold_uncertainty_score":0.9706694},"labels":[],"label_agreement":null},{"id":"W2318712580","doi":"","title":"TRENDS AND CHALLENGES OF ENERGY EFFICIENCY DEVELOPMENT IN SLOVENIAN INDUSTRY","year":2015,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Efficient energy use; Energy consumption; Electricity; Renewable energy; Secondary sector of the economy; Consumption (sociology); Quarter (Canadian coin); Economy; Agricultural economics; Business; Environmental economics; Economics; Engineering; Geography; Social science; Sociology; Electrical engineering","score_opus":0.04184614330052352,"score_gpt":0.24352139961705654,"score_spread":0.20167525631653302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318712580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71826607,0.18783729,0.005106926,0.0073744487,0.00051867444,0.000051490024,0.004063026,0.00025387894,0.07652813],"genre_scores_gemma":[0.9421693,0.047058742,0.0020641743,0.00031981018,0.000070217735,0.00002078798,0.0021511223,0.000053719745,0.006092062],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986896,0.00023394242,0.0001894894,0.00020153311,0.00037152675,0.00031380547],"domain_scores_gemma":[0.9990429,0.0001931289,0.00024772828,0.00004383081,0.00041909097,0.000053330466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549804,0.00030909447,0.0003320612,0.0024073778,0.00032015296,0.00400376,0.0003628778,0.00040765255,0.0021122713],"category_scores_gemma":[0.0014077271,0.00022113178,0.00040783023,0.0063284063,0.00059614156,0.0011488752,0.0008088613,0.00067115756,0.00045015017],"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":[0.0008028619,0.00016789512,0.18854955,0.006301615,0.00040171453,0.0019508494,0.0045900587,0.019428346,0.0071967216,0.08187375,0.032404944,0.65633166],"study_design_scores_gemma":[0.000017643111,0.00014831882,0.66846687,0.0018947242,0.00010787801,0.0007567771,0.008093526,0.0022597932,0.0030636657,0.0026308827,0.31249323,0.00006665252],"about_ca_topic_score_codex":0.02603591,"about_ca_topic_score_gemma":0.015370421,"teacher_disagreement_score":0.02603591,"about_ca_system_score_codex":0.0039125965,"about_ca_system_score_gemma":0.0033798122,"threshold_uncertainty_score":0.05176872},"labels":[],"label_agreement":null},{"id":"W2328868909","doi":"10.18260/1-2--15794","title":"Educational Operations Four Days A Week","year":2020,"lang":"en","type":"article","venue":"","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":"Thursday; Accreditation; Quarter (Canadian coin); Work (physics); Energy consumption; Operations management; Service (business); Names of the days of the week; Consumption (sociology); Business; Engineering; Medical education; Marketing; Medicine; Geography; Sociology","score_opus":0.03714931914928819,"score_gpt":0.24790418555441143,"score_spread":0.21075486640512325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328868909","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":[0.16855161,0.0016981051,0.011469387,0.011241866,0.005554165,0.00294674,0.014785845,0.01243156,0.77132076],"genre_scores_gemma":[0.20031962,0.0010618967,0.0053647305,0.0024324066,0.0008383447,0.00074358453,0.007726999,0.00044744325,0.781065],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989104,0.000109069755,0.000059946018,0.000117832235,0.00022390825,0.0005788766],"domain_scores_gemma":[0.9945093,0.00021402852,0.00028965127,0.0004818366,0.0008919395,0.003613363],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007301985,0.0007661862,0.00048372135,0.001687831,0.00309656,0.001939856,0.0016617815,0.0007917541,0.3642249],"category_scores_gemma":[0.002108919,0.00040981293,0.0007364475,0.0011964935,0.00063480873,0.0008823835,0.0047975294,0.001461597,0.12995538],"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":[0.0010078663,0.003924634,0.014051166,0.0004092024,0.00003461549,0.00056687807,0.00089868973,0.0005549912,0.004367226,0.0035809062,0.45236877,0.5182351],"study_design_scores_gemma":[0.00018674854,0.0011100012,0.05336181,0.00020174179,0.000022582839,0.00044763324,0.003155577,0.00033757597,0.001254183,0.0014944506,0.93836206,0.00006559248],"about_ca_topic_score_codex":0.01120676,"about_ca_topic_score_gemma":0.023262497,"teacher_disagreement_score":0.3642249,"about_ca_system_score_codex":0.0014059633,"about_ca_system_score_gemma":0.0046335477,"threshold_uncertainty_score":0.906856},"labels":[],"label_agreement":null},{"id":"W2340513254","doi":"10.14288/1.0108570","title":"Demand-side strategies for energy efficiency in University of British Columbia residences","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Energy Efficiency and Management","field":"Energy","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":"Efficient energy use; Energy consumption; Demand side; Environmental science; Business; Architectural engineering; Agricultural economics; Environmental economics; Economics; Engineering","score_opus":0.00703830752867435,"score_gpt":0.17049878254349338,"score_spread":0.16346047501481903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340513254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94097406,0.000094954594,0.0006115427,0.00096613873,0.0000066580455,0.000048329486,0.00006494333,0.000015588746,0.057217814],"genre_scores_gemma":[0.98976654,0.00004985779,0.00039316044,0.000060594324,0.0000015893322,0.0000153841,0.000031458472,0.000005620744,0.009675894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986431,0.00045092084,0.000029561466,0.00012444596,0.00026782963,0.00048412976],"domain_scores_gemma":[0.9988445,0.00020025458,0.00009649506,0.00007180546,0.00038479673,0.0004020873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094912713,0.00018536992,0.00015613265,0.00047702328,0.0033705297,0.0040012985,0.0010599232,0.00056724244,0.0074473964],"category_scores_gemma":[0.0025590055,0.00017859405,0.00015764011,0.00083379226,0.0011711401,0.0005729967,0.0019355501,0.0005316016,0.00048761],"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":[0.0009319242,0.0033653881,0.4376934,0.0003482117,0.000082685525,0.0018222921,0.08354307,0.0125877345,0.01616452,0.09958132,0.032298993,0.3115805],"study_design_scores_gemma":[0.000096837575,0.0004409832,0.5740842,0.00022900249,0.000044890312,0.00031593902,0.24513425,0.021681266,0.0037089507,0.012182032,0.14193165,0.0001500163],"about_ca_topic_score_codex":0.63574207,"about_ca_topic_score_gemma":0.8463051,"teacher_disagreement_score":0.36425793,"about_ca_system_score_codex":0.017081082,"about_ca_system_score_gemma":0.0095986705,"threshold_uncertainty_score":0.7328062},"labels":[],"label_agreement":null},{"id":"W2349311044","doi":"","title":"A Commercial Operation Method of Building Energy Efficiency Renovation","year":2010,"lang":"en","type":"article","venue":"Advanced materials research","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":"McGill University","funders":"","keywords":"Metering mode; Enthusiasm; Efficient energy use; Sustainable development; Energy (signal processing); Architectural engineering; Environmental economics; Engineering; Civil engineering; Mechanical engineering; Electrical engineering; Economics","score_opus":0.04065324407754122,"score_gpt":0.40409876268372796,"score_spread":0.36344551860618673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349311044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06676713,0.001820683,0.7000681,0.0014672199,0.0006769724,0.00065329194,0.00025769035,0.0033194595,0.22496946],"genre_scores_gemma":[0.7262354,0.0013424435,0.20029645,0.00027313412,0.00035542645,0.0006595229,0.0004362245,0.00058435084,0.06981706],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988949,0.00021838973,0.00004549426,0.00018082868,0.00058460457,0.000075926844],"domain_scores_gemma":[0.99923146,0.00014020788,0.000053562377,0.00023724782,0.00029444112,0.000042999356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008483087,0.0004497178,0.0002454233,0.0012254665,0.000831525,0.0011167348,0.0010691764,0.0005617389,0.011054559],"category_scores_gemma":[0.0010631492,0.0002061595,0.0003706729,0.001041247,0.000645705,0.0020836073,0.0009633514,0.000808176,0.001926334],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002685854,0.00036298123,0.0022701437,0.00037407482,0.000033042757,0.00031670768,0.00061596074,0.0036226886,0.049025938,0.18624105,0.020729177,0.73613966],"study_design_scores_gemma":[0.0004507486,0.00092755695,0.008839495,0.00017246451,0.0001742306,0.0032969625,0.0009479319,0.11165305,0.20039766,0.034358967,0.63850063,0.00028031383],"about_ca_topic_score_codex":0.001034013,"about_ca_topic_score_gemma":0.0013684813,"teacher_disagreement_score":0.011054559,"about_ca_system_score_codex":0.0006060055,"about_ca_system_score_gemma":0.00074362464,"threshold_uncertainty_score":0.036981165},"labels":[],"label_agreement":null},{"id":"W2409676584","doi":"","title":"Promoting Greenhouse Gas Emissions Reductions in British Columbia’s Small and Medium Sized Businesses","year":2016,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Greenhouse gas; Environmental science; Business; Geology","score_opus":0.011214855529211996,"score_gpt":0.189073644588406,"score_spread":0.177858789059194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409676584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9131244,0.0017919831,0.0005972266,0.010898665,0.000034761135,0.00034393984,0.00017748722,0.000051183146,0.07298045],"genre_scores_gemma":[0.98288095,0.0025727027,0.0017041672,0.0011728839,0.000005247029,0.00008779678,0.0001110713,0.000008630272,0.0114564635],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998806,0.00027036565,0.000038221646,0.00007487219,0.00037007823,0.00044048452],"domain_scores_gemma":[0.9961308,0.0012143529,0.00018142228,0.0000725722,0.0014928691,0.00090785045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019919588,0.00017482133,0.0001209782,0.0010918482,0.005955957,0.0036526187,0.0008211296,0.00066684367,0.0024506978],"category_scores_gemma":[0.005078514,0.00017299745,0.00010362174,0.0017698347,0.0012197009,0.0007453255,0.001554168,0.00074192014,0.00019361575],"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":[0.00065968017,0.0016681879,0.24560943,0.0030919414,0.00010896402,0.007730377,0.0678047,0.0069012647,0.03311078,0.0246119,0.06800105,0.5407018],"study_design_scores_gemma":[0.00013620008,0.0004926881,0.50123954,0.001946681,0.00013427634,0.00037776877,0.20082101,0.003766432,0.0081722345,0.002862664,0.279876,0.00017443355],"about_ca_topic_score_codex":0.9145693,"about_ca_topic_score_gemma":0.9765994,"teacher_disagreement_score":0.08543068,"about_ca_system_score_codex":0.037084818,"about_ca_system_score_gemma":0.071713425,"threshold_uncertainty_score":0.26907045},"labels":[],"label_agreement":null},{"id":"W2472565006","doi":"10.1002/aic.15393","title":"General optimization model for the energy planning of industries including renewable energy: A case study on oil sands","year":2016,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Energy Efficiency and Management","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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Renewable energy; Energy planning; Oil sands; Carbon tax; Cogeneration; Scheduling (production processes); Energy supply; Fossil fuel; Procurement; Process engineering; Production planning; Nuclear power; Engineering; Environmental science; Production (economics); Environmental economics; Energy (signal processing); Waste management; Greenhouse gas; Electricity generation; Operations management; Power (physics); Business; Economics","score_opus":0.07273527569619102,"score_gpt":0.3013903348792254,"score_spread":0.22865505918303436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472565006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10533514,0.0012289254,0.83316594,0.0015167218,0.00017021757,0.0003929905,0.002427065,0.0006490555,0.055113856],"genre_scores_gemma":[0.8780343,0.0013700848,0.07902464,0.000228928,0.000070187285,0.0009358568,0.0010897106,0.000148444,0.039097704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955374,0.00017195843,0.000017192455,0.00008674926,0.00008059721,0.000089863395],"domain_scores_gemma":[0.9994848,0.00030409519,0.000077146215,0.000019725889,0.00008419884,0.000030001871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011253378,0.0013007382,0.0012798986,0.0008015174,0.0007520026,0.0015218954,0.0019675677,0.0025754096,0.006269858],"category_scores_gemma":[0.0012936438,0.00087864755,0.0016974831,0.0015839512,0.00075320853,0.0011507937,0.0008828276,0.00167959,0.00071038026],"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":[0.000010992884,0.000009238812,0.00007520681,0.000012128889,0.000006920191,0.000033268276,0.000007819909,0.9968285,0.00012540333,0.0019850358,0.00016269524,0.00074281334],"study_design_scores_gemma":[0.000011093701,0.000014100044,0.00011923065,0.0000037077014,0.000006869296,0.000010846434,0.000011177714,0.9980373,0.000058979676,0.0011686852,0.0005523729,0.0000055732166],"about_ca_topic_score_codex":0.038616903,"about_ca_topic_score_gemma":0.029949877,"teacher_disagreement_score":0.9613831,"about_ca_system_score_codex":0.0023012343,"about_ca_system_score_gemma":0.0031139336,"threshold_uncertainty_score":0.07678425},"labels":[],"label_agreement":null},{"id":"W2495974082","doi":"10.5539/mas.v10n8p230","title":"A Combined Approach for Production Parameter Selection and On-site Energy Supply Management in Manufacturing Industry","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Production (economics); Energy supply; Computer science; Interdependence; Selection (genetic algorithm); Energy management; Site selection; Manufacturing; Energy (signal processing); Manufacturing engineering; Industrial engineering; Risk analysis (engineering); Environmental economics; Business; Engineering","score_opus":0.014393308125713997,"score_gpt":0.2208819851047543,"score_spread":0.2064886769790403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495974082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023712985,0.000056949055,0.973129,0.000042955522,0.000008842876,0.000056590594,0.00002644112,0.0002192185,0.0027470698],"genre_scores_gemma":[0.7877585,0.00014409803,0.21000436,0.000029325534,0.00001151898,0.00014200018,0.0000810795,0.000056326047,0.0017726795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995183,0.00018619254,0.000021991096,0.00007711018,0.00014861279,0.000047750073],"domain_scores_gemma":[0.9996146,0.00018844429,0.000059472135,0.000067461806,0.00005216317,0.00001786333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058020203,0.00068375876,0.00075172493,0.0005699864,0.00039232275,0.0010472104,0.0009761922,0.0008835723,0.0019618277],"category_scores_gemma":[0.0009453525,0.00051795255,0.0010636979,0.0005641456,0.0004141333,0.0009401907,0.00085250614,0.00069438625,0.00024692263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028581428,0.0000634143,0.000678408,0.000035915804,0.000028854454,0.000066238055,0.000045508907,0.9658561,0.004281411,0.0045793527,0.00011509773,0.024221143],"study_design_scores_gemma":[0.000005073963,0.00003437712,0.00015076894,0.0000046530317,0.000009158401,0.00001891354,0.000010152413,0.99591786,0.0013526157,0.0019993177,0.0004914736,0.000005707759],"about_ca_topic_score_codex":0.0032220692,"about_ca_topic_score_gemma":0.0037300084,"teacher_disagreement_score":0.0032220692,"about_ca_system_score_codex":0.0005892445,"about_ca_system_score_gemma":0.0009481899,"threshold_uncertainty_score":0.006562948},"labels":[],"label_agreement":null},{"id":"W2515003445","doi":"10.5539/jas.v8n10p165","title":"Case Study of Viability of Bioenergy Production from Landfill Gas (LFG)","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Energy Efficiency and Management","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Landfill gas; Electricity generation; Bioenergy; Biogas; Production (economics); Cogeneration; Profitability index; Environmental engineering; Waste management; Payback period; Environmental science; Agricultural economics; Natural resource economics; Engineering; Municipal solid waste; Business; Economics; Power (physics)","score_opus":0.014707364608502173,"score_gpt":0.235263249611822,"score_spread":0.22055588500331982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515003445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693471,0.00040145605,0.006602739,0.00030740924,0.000028736182,0.0001540632,0.0009984471,0.00006490409,0.022095047],"genre_scores_gemma":[0.9950281,0.00018512149,0.0021952768,0.000012080236,0.000004948673,0.000046709014,0.00015861545,0.000012120487,0.0023570678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992644,0.0002933983,0.000022439906,0.00007161265,0.00014252448,0.00020570964],"domain_scores_gemma":[0.997766,0.0016088726,0.0001376217,0.0000864521,0.00021138079,0.00018969367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010294091,0.000976422,0.0004957894,0.0012629499,0.0010477334,0.0020227819,0.0014675377,0.0025235994,0.0051217796],"category_scores_gemma":[0.0020701578,0.0003229324,0.0011375622,0.0016111817,0.00093725795,0.0011932794,0.00090680027,0.0008974343,0.00037111418],"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":[0.0011974523,0.0008595853,0.024078628,0.0006521733,0.00017612214,0.021488914,0.0004664501,0.9096096,0.008423631,0.014190613,0.0025010589,0.01635581],"study_design_scores_gemma":[0.00031957697,0.0023300918,0.026228439,0.0002349513,0.00030609017,0.0035594332,0.0071526202,0.9134101,0.023822833,0.012073449,0.010399897,0.00016247056],"about_ca_topic_score_codex":0.015229866,"about_ca_topic_score_gemma":0.0131198885,"teacher_disagreement_score":0.015229866,"about_ca_system_score_codex":0.0025481551,"about_ca_system_score_gemma":0.000963378,"threshold_uncertainty_score":0.030282438},"labels":[],"label_agreement":null},{"id":"W2520279149","doi":"10.2139/ssrn.2835888","title":"How Does Energy-Cost Lead to Energy Efficiency? Panel Evidence from Canada","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lead (geology); Efficient energy use; Energy (signal processing); Business; Natural resource economics; Environmental science; Economics; Engineering; Physics; Geology","score_opus":0.011735152173301625,"score_gpt":0.20626047998470604,"score_spread":0.1945253278114044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520279149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59685606,0.090056084,0.00084347004,0.12665318,0.0009418162,0.00025507866,0.05252043,0.00007204766,0.13180181],"genre_scores_gemma":[0.9619438,0.013839537,0.00023958684,0.0052328976,0.00012399127,0.000041432773,0.005429345,0.00003557878,0.013113848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99517965,0.00082125765,0.00023136497,0.00049000006,0.0015735413,0.0017042441],"domain_scores_gemma":[0.9723517,0.008231199,0.0037007031,0.00089988596,0.012095589,0.0027210067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047220546,0.0006515386,0.0015621908,0.0017718265,0.0031401718,0.0050275433,0.0027805085,0.0021394824,0.016806679],"category_scores_gemma":[0.016170964,0.0006330386,0.001750501,0.005497986,0.0020460102,0.0012723276,0.0020871705,0.0027881782,0.0007893852],"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":[0.0025737225,0.0003944342,0.72104436,0.0028012407,0.004588357,0.000754694,0.002756218,0.0061559714,0.00030347487,0.031578433,0.1933517,0.03369731],"study_design_scores_gemma":[0.00069818285,0.00018711446,0.8714987,0.0030469112,0.004610014,0.000092478236,0.014282709,0.0022033139,0.0006374746,0.0047897534,0.097758815,0.00019462411],"about_ca_topic_score_codex":0.9952436,"about_ca_topic_score_gemma":0.99746644,"teacher_disagreement_score":0.04378836,"about_ca_system_score_codex":0.04378836,"about_ca_system_score_gemma":0.07888794,"threshold_uncertainty_score":0.31770825},"labels":[],"label_agreement":null},{"id":"W2540271418","doi":"10.1109/epc.2008.4763303","title":"BC Hydro conservation potential review 2007 - summary of industrial sector results","year":2008,"lang":"en","type":"article","venue":"","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":"BC Hydro (Canada)","funders":"","keywords":"Energy conservation; Investment (military); Business; Environmental economics; Stakeholder; Electricity; Plan (archaeology); Natural resource economics; Environmental resource management; Engineering; Economics","score_opus":0.04633990447254173,"score_gpt":0.24311605410212384,"score_spread":0.19677614962958212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540271418","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":[0.019682191,0.78817505,0.001094878,0.0072165495,0.0009026994,0.0004600482,0.031591322,0.00023821028,0.150639],"genre_scores_gemma":[0.12413098,0.81316936,0.0035324667,0.001628277,0.00047524905,0.0002831891,0.026704853,0.00014388093,0.029931797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99623185,0.00040090608,0.0002160981,0.00014066762,0.0028393413,0.00017111044],"domain_scores_gemma":[0.98119867,0.0018412189,0.0010370779,0.00022935995,0.015405675,0.00028808322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027764817,0.00054504565,0.0008341984,0.012667639,0.0006808975,0.0026824458,0.0010035335,0.0004655378,0.009642546],"category_scores_gemma":[0.0061102267,0.00034726452,0.00044087638,0.024855165,0.0002785903,0.00063968473,0.000544637,0.0005254811,0.0022200022],"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":[0.00033514661,0.000092705435,0.007054659,0.02198522,0.00021741727,0.00030786238,0.0001944818,0.0015067783,0.0011838388,0.0024814596,0.27520713,0.6894332],"study_design_scores_gemma":[0.000029802219,0.0001376236,0.03385066,0.005644075,0.00035784958,0.0002465119,0.00032603435,0.00031892734,0.0028274576,0.0003155877,0.95591575,0.000029828067],"about_ca_topic_score_codex":0.27231926,"about_ca_topic_score_gemma":0.36537868,"teacher_disagreement_score":0.72768074,"about_ca_system_score_codex":0.009540163,"about_ca_system_score_gemma":0.020925788,"threshold_uncertainty_score":0.5414684},"labels":[],"label_agreement":null},{"id":"W2542363987","doi":"10.1109/tic-sth.2009.5444359","title":"Moving forward with building-scale alternative energy: Performance, price, and policy","year":2009,"lang":"en","type":"article","venue":"","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":"University of Toronto","funders":"","keywords":"Environmental economics; Electricity; Greenhouse gas; Work (physics); Photovoltaic system; Incentive; Revenue; Air conditioning; Government (linguistics); Business; Heat pump; Scale (ratio); Environmental science; Natural resource economics; Economics; Engineering; Finance; Microeconomics; Electrical engineering","score_opus":0.004646171067352508,"score_gpt":0.21918423801449505,"score_spread":0.21453806694714253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542363987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46946788,0.0073236497,0.051990032,0.037609745,0.00030926376,0.00036089405,0.0002602394,0.00016486527,0.4325134],"genre_scores_gemma":[0.98420864,0.0015745766,0.005716812,0.00039728053,0.00007327421,0.00004286084,0.000046736415,0.000016070377,0.007923689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974904,0.0011228473,0.000060789203,0.000170378,0.0008774043,0.00027811414],"domain_scores_gemma":[0.996558,0.0017057398,0.00045932265,0.0002815155,0.0007704001,0.00022507434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031393631,0.00043298444,0.0004367955,0.00053852354,0.00079265994,0.0061173225,0.000813417,0.0022583457,0.011983802],"category_scores_gemma":[0.008104651,0.00012831468,0.00039045623,0.0015281367,0.0011598361,0.0047166008,0.0017174402,0.0014809439,0.0010686137],"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":[0.00035728014,0.00076553185,0.014749413,0.0005640007,0.00016223169,0.00037932422,0.0004994335,0.115168706,0.0056111943,0.6326315,0.0074595814,0.22165182],"study_design_scores_gemma":[0.00016720795,0.0014354335,0.033495408,0.0007417505,0.00020700977,0.0005328907,0.00848411,0.1406278,0.013634768,0.5520269,0.24850273,0.00014399787],"about_ca_topic_score_codex":0.0033779158,"about_ca_topic_score_gemma":0.0060137715,"teacher_disagreement_score":0.011983802,"about_ca_system_score_codex":0.0031773308,"about_ca_system_score_gemma":0.0026429573,"threshold_uncertainty_score":0.040089846},"labels":[],"label_agreement":null},{"id":"W2546818920","doi":"10.1109/ccece.2016.7726669","title":"Evaluation of energetic efficiency of the industrial systems by using benchmark energy factor","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","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":"Powertech Labs (Canada)","funders":"BC Hydro","keywords":"Benchmarking; Benchmark (surveying); Certification; Computer science; Reliability engineering; Process (computing); Efficient energy use; Normalization (sociology); Manufacturing engineering; Engineering; Business; Operating system; Electrical engineering","score_opus":0.055253183362311886,"score_gpt":0.2592705140455454,"score_spread":0.20401733068323352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546818920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53432655,0.0027065852,0.3544829,0.0003364855,0.00024277608,0.00040623505,0.0040891687,0.0018041887,0.10160508],"genre_scores_gemma":[0.9679675,0.00052726467,0.026268793,0.000020869536,0.00001023524,0.000105070656,0.0016548081,0.00011462997,0.0033308025],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99579513,0.00061758095,0.00023019986,0.00031733696,0.0028153954,0.00022437246],"domain_scores_gemma":[0.9981173,0.00047947513,0.00024068769,0.00030138946,0.0007992987,0.00006179745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025723174,0.00074530486,0.00076815864,0.004106662,0.00044875406,0.0020655096,0.0006935192,0.000613283,0.0034283854],"category_scores_gemma":[0.004594513,0.00015920341,0.0008549388,0.0043757586,0.0004860663,0.0018196808,0.0009365724,0.00036764808,0.00076745654],"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":[0.00078477524,0.0004836497,0.116812244,0.0019868584,0.00037967134,0.0005830125,0.0008130643,0.30527115,0.06602808,0.044422857,0.010081895,0.45235273],"study_design_scores_gemma":[0.00006093448,0.0030423906,0.21174677,0.000585017,0.00030651924,0.0009637117,0.0028105276,0.5100146,0.16629167,0.028311478,0.07554012,0.0003262784],"about_ca_topic_score_codex":0.003574194,"about_ca_topic_score_gemma":0.0031086064,"teacher_disagreement_score":0.004106662,"about_ca_system_score_codex":0.0013332239,"about_ca_system_score_gemma":0.00075709814,"threshold_uncertainty_score":0.013603866},"labels":[],"label_agreement":null},{"id":"W2557472506","doi":"10.1109/citcon.2016.7742675","title":"The lean energy and the reduction of energy cost and GHG emissions: a proven approach","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","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":"Stantec (Canada)","funders":"","keywords":"Greenhouse gas; Reduction (mathematics); Environmental science; Cost reduction; Energy (signal processing); Environmental economics; Business; Economics","score_opus":0.009734519248670526,"score_gpt":0.20590378000525217,"score_spread":0.19616926075658164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557472506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008239221,0.07764732,0.6577628,0.03510404,0.002269448,0.00012750478,0.0002767336,0.00019642692,0.21837652],"genre_scores_gemma":[0.57630605,0.11824612,0.24836607,0.0077672787,0.005172488,0.00063689065,0.00021534774,0.0003030837,0.042986598],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99762964,0.0007024226,0.000088538436,0.00038052123,0.0010206951,0.0001781519],"domain_scores_gemma":[0.99866474,0.00075734477,0.00013699553,0.0001714804,0.00021789802,0.000051558356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002583391,0.0017008358,0.0011660107,0.0022673707,0.0012319719,0.004608999,0.0018356084,0.0032710293,0.005088945],"category_scores_gemma":[0.0030429808,0.00050276425,0.0010922332,0.0019930056,0.011352126,0.0070302524,0.0033939146,0.00431117,0.00122315],"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":[0.000017182836,0.00002951746,0.00004515032,0.00018489451,0.000016787837,0.0000410295,0.000026554226,0.0045947097,0.0002549946,0.97386044,0.0015141532,0.019414714],"study_design_scores_gemma":[0.00000890417,0.000034153756,0.000053504566,0.00020954198,0.000009532396,0.000041092168,0.000030561725,0.004328488,0.000495527,0.96916616,0.025605615,0.000016900096],"about_ca_topic_score_codex":0.0016558778,"about_ca_topic_score_gemma":0.0012563433,"teacher_disagreement_score":0.005088945,"about_ca_system_score_codex":0.0038387964,"about_ca_system_score_gemma":0.0024184485,"threshold_uncertainty_score":0.027852535},"labels":[],"label_agreement":null},{"id":"W2560367388","doi":"10.1109/epec.2016.7771712","title":"The impact of essentials of application engineering on conservation and energy efficiency projects","year":2016,"lang":"en","type":"article","venue":"","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":"Powertech Labs (Canada)","funders":"","keywords":"Energy conservation; Government (linguistics); Efficient energy use; Risk analysis (engineering); Order (exchange); Computer science; Environmental economics; Engineering; Engineering management; Systems engineering; Business; Economics; Electrical engineering; Finance","score_opus":0.007678677218460424,"score_gpt":0.23150860640951845,"score_spread":0.22382992919105804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560367388","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":[0.3226861,0.021472989,0.08201446,0.01433954,0.0015023906,0.00041109914,0.0002445379,0.00035024981,0.55697864],"genre_scores_gemma":[0.9436467,0.011079995,0.020759651,0.00093902915,0.00021622791,0.00008857167,0.00014826741,0.000063864514,0.023057695],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98382956,0.0041531613,0.0010495621,0.00071795896,0.009219096,0.001030692],"domain_scores_gemma":[0.963836,0.018638654,0.002801205,0.0020351205,0.011192218,0.0014966992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009014607,0.00040465558,0.00021751475,0.0027777255,0.0012710231,0.0067039933,0.000777685,0.00081398885,0.003969541],"category_scores_gemma":[0.014516146,0.00023378115,0.00044356356,0.0020616269,0.0019690786,0.0027888997,0.0031814398,0.0014881557,0.00048756032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013363034,0.00018008442,0.026959943,0.0025157547,0.000055795263,0.0015185867,0.0056517283,0.005723388,0.009753138,0.28355372,0.012432837,0.65152144],"study_design_scores_gemma":[0.000016409807,0.0007539882,0.09475356,0.0035022222,0.00012403565,0.002968061,0.014437845,0.0051998207,0.024371121,0.07344102,0.7803117,0.00012020136],"about_ca_topic_score_codex":0.0014775764,"about_ca_topic_score_gemma":0.0022667677,"teacher_disagreement_score":0.009014607,"about_ca_system_score_codex":0.0031707124,"about_ca_system_score_gemma":0.005385165,"threshold_uncertainty_score":0.047674358},"labels":[],"label_agreement":null},{"id":"W2561668508","doi":"","title":"Preparing for the Sunset of Incandescent Bulbs","year":2008,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Incandescent light bulb; Efficient energy use; Business; Marketing; Environmental economics; Engineering; Economics; Electrical engineering","score_opus":0.02315558262034719,"score_gpt":0.2399657504629373,"score_spread":0.2168101678425901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561668508","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54435915,0.0010503572,0.035340223,0.04498364,0.0015529611,0.0008346146,0.00029387692,0.0023426963,0.36924246],"genre_scores_gemma":[0.7612123,0.0010472857,0.045509454,0.0063120546,0.00030196036,0.00021083307,0.00031709703,0.00052905,0.18455994],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885654,0.0002951247,0.000033047116,0.000101349324,0.00045105378,0.00026280145],"domain_scores_gemma":[0.9984686,0.00026126474,0.00020629638,0.0001494987,0.0005353412,0.00037897893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015154494,0.00022351096,0.00014488489,0.0004533544,0.004181962,0.0016712467,0.0011234928,0.0013021356,0.023282778],"category_scores_gemma":[0.0034423673,0.00029400733,0.00029725564,0.00037157224,0.00077304966,0.0018186155,0.001127762,0.002700466,0.0047615836],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042368405,0.0023985598,0.024193928,0.0003930705,0.000021599486,0.0015842782,0.01508689,0.0014818207,0.035645247,0.03406429,0.24766068,0.6370459],"study_design_scores_gemma":[0.000067448695,0.0008765953,0.046887275,0.00027303543,0.000024585377,0.0006414177,0.021576287,0.0013496823,0.030278165,0.015037816,0.8828899,0.00009777285],"about_ca_topic_score_codex":0.007949895,"about_ca_topic_score_gemma":0.01825312,"teacher_disagreement_score":0.023282778,"about_ca_system_score_codex":0.0017373214,"about_ca_system_score_gemma":0.0037730504,"threshold_uncertainty_score":0.07788861},"labels":[],"label_agreement":null},{"id":"W2567042674","doi":"","title":"Best Practice Benchmarking in Energy Efficiency: Canadian Automotive Parts Industry","year":2005,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Benchmarking; Automotive industry; Efficient energy use; Best practice; Business; Productivity; Environmental economics; Operations management; Engineering; Marketing; Economics; Management","score_opus":0.011054054851908496,"score_gpt":0.2456162697209986,"score_spread":0.2345622148690901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567042674","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":[0.14214548,0.039122727,0.04846148,0.09720923,0.0022490914,0.0013208076,0.0033214667,0.0009903928,0.6651794],"genre_scores_gemma":[0.88129747,0.01673276,0.044515528,0.0060551274,0.00015038153,0.00038821928,0.0038667647,0.00035132378,0.046642475],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9588572,0.008118629,0.0013668748,0.0022422958,0.025665117,0.0037498816],"domain_scores_gemma":[0.94263184,0.0067933137,0.0015603959,0.002248728,0.043459993,0.003305747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02719983,0.0007311957,0.0005759737,0.007921556,0.0074613746,0.008931709,0.003331217,0.0017306613,0.00411261],"category_scores_gemma":[0.04581768,0.00052195357,0.0005963814,0.022166846,0.0035666146,0.0028942162,0.003677518,0.0019899928,0.00062598113],"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":[0.00016891393,0.00024356905,0.026726242,0.0016444502,0.00007786565,0.00034688137,0.013850118,0.009163509,0.0017597813,0.15429556,0.15990657,0.63181657],"study_design_scores_gemma":[0.00004697299,0.00014016898,0.12427908,0.0020107771,0.0000513036,0.00018565443,0.016094526,0.006081833,0.0022454718,0.011964782,0.83667856,0.00022080865],"about_ca_topic_score_codex":0.966289,"about_ca_topic_score_gemma":0.97019345,"teacher_disagreement_score":0.12938026,"about_ca_system_score_codex":0.12938026,"about_ca_system_score_gemma":0.22208674,"threshold_uncertainty_score":0.93872386},"labels":[],"label_agreement":null},{"id":"W2587246273","doi":"10.4324/9780203121900-12","title":"The Netherlands: Unsettled times for energy efficiency","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Environmental science","score_opus":0.012546344926871839,"score_gpt":0.2157209866451511,"score_spread":0.20317464171827926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587246273","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":[0.0014808999,0.12970833,0.0018477947,0.029051868,0.006018266,0.000042176856,0.0009080653,0.00009779422,0.8308448],"genre_scores_gemma":[0.012566578,0.045995366,0.001831172,0.003643492,0.00029633995,0.000039553805,0.00040171345,0.00036955925,0.93485624],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878854,0.00010313171,0.000035652858,0.000111944995,0.0007306675,0.00023007441],"domain_scores_gemma":[0.99977857,0.000032666856,0.000010774296,0.000016390344,0.0001234843,0.00003824176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073830754,0.0010258538,0.00059575756,0.001234392,0.003271668,0.0083611775,0.0013123745,0.0033161242,0.050216503],"category_scores_gemma":[0.0013069708,0.00067830423,0.00043090837,0.0039191693,0.002029702,0.004094417,0.0021270502,0.0032285952,0.008637197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013298921,0.000018255923,0.00011708324,0.00025148035,0.000007934258,0.00009318724,0.0008599217,0.00055450527,0.00032367778,0.1956138,0.72775584,0.074390955],"study_design_scores_gemma":[0.0000012868128,7.73703e-7,0.00013793091,0.00012888739,0.0000018036598,0.00001636325,0.00023683802,0.000052775198,0.000055055545,0.0046208557,0.99474204,0.000005487713],"about_ca_topic_score_codex":0.8136481,"about_ca_topic_score_gemma":0.9305966,"teacher_disagreement_score":0.8136481,"about_ca_system_score_codex":0.030653825,"about_ca_system_score_gemma":0.03966077,"threshold_uncertainty_score":0.37489867},"labels":[],"label_agreement":null},{"id":"W2592280594","doi":"10.1080/15567249.2011.592901","title":"Qualification of essential components of a FIT scheme","year":2016,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","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":"Dalhousie University; Nova Scotia Department of Agriculture","funders":"","keywords":"Greenhouse gas; Tariff; Environmental economics; Renewable energy; Electricity; Bureaucracy; Government (linguistics); Business; Coal; Demographics; Natural resource economics; Economics; Engineering; Waste management; Political science; International trade","score_opus":0.031045395698186144,"score_gpt":0.26898795727694924,"score_spread":0.2379425615787631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592280594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54610485,0.00020436815,0.15912305,0.0033550002,0.00020012243,0.0036932097,0.0011212152,0.0008088277,0.28538942],"genre_scores_gemma":[0.90913594,0.00007576701,0.07286435,0.00020584007,0.00002752799,0.00069689675,0.00055989693,0.00007464616,0.016359296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99084926,0.0026199361,0.0011391392,0.0006020981,0.0035733199,0.0012162259],"domain_scores_gemma":[0.964812,0.00876396,0.0036857605,0.008631473,0.012400563,0.0017062519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010829027,0.0003733172,0.0004521615,0.0026478914,0.0030852684,0.006412693,0.0016172341,0.0022269695,0.022572447],"category_scores_gemma":[0.043870732,0.00046668676,0.00081836974,0.0022488248,0.0032833433,0.0051406575,0.0031819118,0.0013471248,0.0032986812],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004315235,0.000687985,0.06639902,0.0003296623,0.00004972113,0.0004455042,0.0030286945,0.009755055,0.0048405607,0.76260716,0.00440441,0.14702065],"study_design_scores_gemma":[0.00034264344,0.003553718,0.19120783,0.0013726399,0.00022109224,0.0021023604,0.016264167,0.09843745,0.023799248,0.39857346,0.26376823,0.00035723645],"about_ca_topic_score_codex":0.0052870335,"about_ca_topic_score_gemma":0.004157882,"teacher_disagreement_score":0.022572447,"about_ca_system_score_codex":0.0029980084,"about_ca_system_score_gemma":0.008590679,"threshold_uncertainty_score":0.07551241},"labels":[],"label_agreement":null},{"id":"W25958209","doi":"10.1007/978-3-642-29069-5_55","title":"Using a New Economic Model with LCA-Based Carbon Emission Inputs for Process Parameter Selection in Machining","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Machining; Selection (genetic algorithm); Sprocket; Process (computing); Computer science; Work (physics); Process engineering; Model selection; Industrial engineering; Manufacturing engineering; Engineering; Mechanical engineering; Artificial intelligence","score_opus":0.045975355888017204,"score_gpt":0.27433786173730856,"score_spread":0.22836250584929135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W25958209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03964679,0.0007031642,0.9202782,0.0010704359,0.00032855972,0.00011806296,0.00071460055,0.0004369022,0.03670327],"genre_scores_gemma":[0.7403543,0.0013612178,0.21778578,0.00035808887,0.00019536247,0.0005838523,0.0007431394,0.00031656493,0.03830164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997507,0.0000853233,0.000013685228,0.000051808674,0.00007769961,0.00002079757],"domain_scores_gemma":[0.9995401,0.00030803386,0.000033725704,0.00002582638,0.00007760512,0.0000148294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007653298,0.00096941297,0.0010038399,0.00050476997,0.00067602645,0.0018026711,0.0015454422,0.001973469,0.0041786074],"category_scores_gemma":[0.0014564992,0.00070536154,0.0014143727,0.0010391363,0.0006879865,0.0021460452,0.00072153803,0.0016872237,0.0005244891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000120109735,0.000021651302,0.00013689084,0.000024356335,0.000021088079,0.000029275217,0.0000068786076,0.98726374,0.00041838764,0.007821324,0.00032327627,0.003921072],"study_design_scores_gemma":[0.0000053682493,0.000005974146,0.00006196866,0.0000029973958,0.000009132353,0.0000068641707,0.0000020447521,0.9953656,0.00016695262,0.003720665,0.00064701226,0.000005308501],"about_ca_topic_score_codex":0.015589185,"about_ca_topic_score_gemma":0.017509246,"teacher_disagreement_score":0.015589185,"about_ca_system_score_codex":0.0017711215,"about_ca_system_score_gemma":0.0013048763,"threshold_uncertainty_score":0.03099686},"labels":[],"label_agreement":null},{"id":"W2616773354","doi":"","title":"Utilization of Residential Energy-Saving Retrofit Programs in Canada: Who, What and Why","year":2007,"lang":"en","type":"article","venue":"Energy Markets and Sustainability in a Larger Europe,9th IAEE European Conference,June 10-31, 2007","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Architectural engineering; Environmental science; Environmental planning; Natural resource economics; Engineering; Economics","score_opus":0.01718717257310145,"score_gpt":0.2262346075075895,"score_spread":0.20904743493448805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616773354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92929536,0.0069203805,0.00033383316,0.032062992,0.00011928017,0.000083638035,0.0016453052,0.000056746896,0.029482543],"genre_scores_gemma":[0.97686356,0.0040824926,0.00035185734,0.002819598,0.000021942156,0.00001680989,0.00050978333,0.000030216193,0.015303771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982023,0.00012231708,0.000038097558,0.00011271399,0.00058822165,0.00093635824],"domain_scores_gemma":[0.99658537,0.00026257648,0.000324999,0.00004728615,0.0017682525,0.0010114218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011591585,0.00027834525,0.0005394326,0.0008887106,0.0056446246,0.0040302263,0.0020548862,0.0014190754,0.0065444345],"category_scores_gemma":[0.0029770758,0.00027812747,0.00057954603,0.0032688659,0.001993334,0.0019177491,0.0013323996,0.0018769653,0.00023807252],"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":[0.0010501139,0.0014713255,0.49697942,0.0008272667,0.0002604025,0.0015164749,0.033258777,0.0026734653,0.0026376708,0.031697534,0.07368278,0.35394484],"study_design_scores_gemma":[0.000091833215,0.0002447011,0.749378,0.0006674952,0.0002703567,0.0004386682,0.1358613,0.003504959,0.0020255242,0.0019707154,0.10536489,0.00018165713],"about_ca_topic_score_codex":0.9972145,"about_ca_topic_score_gemma":0.9992384,"teacher_disagreement_score":0.0799365,"about_ca_system_score_codex":0.0799365,"about_ca_system_score_gemma":0.163805,"threshold_uncertainty_score":0.5799826},"labels":[],"label_agreement":null},{"id":"W2621317662","doi":"","title":"Samfundsøkonomisk vurdering af trafikpolitik","year":2007,"lang":"da","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Computer science","score_opus":0.04581236739334526,"score_gpt":0.2743385091273194,"score_spread":0.22852614173397412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621317662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41591328,0.047450233,0.09948652,0.029105987,0.0049664187,0.000378117,0.018561514,0.0025102508,0.38162768],"genre_scores_gemma":[0.8659479,0.012729294,0.021285487,0.000671289,0.00048374658,0.000115956864,0.0080280695,0.000989472,0.08974876],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9932058,0.0017634985,0.0005094229,0.0010565709,0.0025219414,0.0009428239],"domain_scores_gemma":[0.99591345,0.0017868807,0.0005273297,0.00049998617,0.0010047342,0.00026755797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043813507,0.0016653911,0.0016374126,0.004024471,0.0022115905,0.020514792,0.0011198428,0.0027125916,0.045135234],"category_scores_gemma":[0.008254623,0.0016606095,0.0017782993,0.0040931012,0.001876432,0.0065540206,0.0030246023,0.0036087073,0.008989166],"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":[0.0019485186,0.00077672425,0.039352883,0.002259002,0.000859825,0.0019341924,0.0081731025,0.09174246,0.0075815693,0.32703942,0.11330798,0.40502438],"study_design_scores_gemma":[0.0001501639,0.00024652292,0.024282852,0.0022935716,0.0002888956,0.0013058721,0.014986492,0.055306926,0.008810482,0.20851462,0.683516,0.00029762075],"about_ca_topic_score_codex":0.056650944,"about_ca_topic_score_gemma":0.03580579,"teacher_disagreement_score":0.056650944,"about_ca_system_score_codex":0.006500293,"about_ca_system_score_gemma":0.005791959,"threshold_uncertainty_score":0.1509924},"labels":[],"label_agreement":null},{"id":"W2729999939","doi":"","title":"Mikrobiologisk risikovurdering af øgede temperaturer i grundvandet ved ATES (Aquifer Thermal Energy Storage)","year":2016,"lang":"da","type":"report","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kruger (Canada)","funders":"","keywords":"Aquifer; Geology; Environmental science; Groundwater; Geotechnical engineering","score_opus":0.01770136566025559,"score_gpt":0.24281896442996653,"score_spread":0.22511759876971094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729999939","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.837715,0.013414594,0.017972711,0.009137034,0.00095877924,0.0014387292,0.041620176,0.0010280135,0.076714866],"genre_scores_gemma":[0.84124076,0.012994707,0.02010365,0.0005619704,0.00024481368,0.0005462696,0.022439994,0.00013287042,0.101735026],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873394,0.00011271874,0.00008355547,0.00009960115,0.00077483396,0.0001953601],"domain_scores_gemma":[0.9989826,0.0001973307,0.00012911012,0.000048140046,0.00051888515,0.0001239392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025519328,0.0007192574,0.00056363636,0.0008585565,0.00070502993,0.0015280443,0.00067324215,0.00069965515,0.008762564],"category_scores_gemma":[0.0012982646,0.00034010608,0.0007774253,0.0006984397,0.00036451884,0.00052047434,0.0010646381,0.0007558373,0.002659975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004683975,0.0014002498,0.15173519,0.0021487088,0.00023269001,0.0016240284,0.0011796239,0.0055860016,0.1485427,0.0027488915,0.076985046,0.6031329],"study_design_scores_gemma":[0.0002398083,0.0036906619,0.27389178,0.0005370824,0.00026668474,0.0027991561,0.0030600047,0.0036240357,0.3993034,0.0021269731,0.31028578,0.00017459599],"about_ca_topic_score_codex":0.019736782,"about_ca_topic_score_gemma":0.024411185,"teacher_disagreement_score":0.019736782,"about_ca_system_score_codex":0.0013082954,"about_ca_system_score_gemma":0.0037646855,"threshold_uncertainty_score":0.039243758},"labels":[],"label_agreement":null},{"id":"W2747222616","doi":"10.1016/j.jvs.2017.07.047","title":"Temporal Trends of Aortic Custom Medical Device Use in Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Energy Efficiency and Management","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Population; Surgery; Environmental health","score_opus":0.025351319698573325,"score_gpt":0.24956530040965796,"score_spread":0.22421398071108464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747222616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9488976,0.005428864,0.00042388393,0.0035930541,0.00010543862,0.00004310573,0.026517723,0.00010281439,0.014887499],"genre_scores_gemma":[0.98664606,0.0040388023,0.0003051944,0.00043257937,0.00003146126,0.000016690921,0.0046061426,0.00003191023,0.003891121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990402,0.000032835436,0.00009915604,0.00012868692,0.00037162827,0.0003274723],"domain_scores_gemma":[0.9948573,0.00033083942,0.0016163841,0.000088663495,0.0021391402,0.00096768246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003317236,0.00025669739,0.00027910818,0.002925954,0.0013257981,0.0019248073,0.001164047,0.0008099951,0.007963765],"category_scores_gemma":[0.0030465268,0.00036291324,0.0008559529,0.007314312,0.0007698195,0.00072526175,0.00089632126,0.0015474904,0.0005278587],"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":[0.00014959417,0.000044513294,0.9848179,0.00010261091,0.0001113815,0.00029399656,0.00049832347,0.0004306919,0.000377118,0.0011014846,0.004417186,0.0076551717],"study_design_scores_gemma":[0.0000058681867,0.00003342443,0.9895327,0.00012232503,0.000051939274,0.00041090426,0.0024340686,0.0007805193,0.00018831111,0.00009150903,0.006319756,0.000028725395],"about_ca_topic_score_codex":0.9810931,"about_ca_topic_score_gemma":0.98763883,"teacher_disagreement_score":0.018906891,"about_ca_system_score_codex":0.018433284,"about_ca_system_score_gemma":0.02481641,"threshold_uncertainty_score":0.13374346},"labels":[],"label_agreement":null},{"id":"W2752211410","doi":"","title":"Energy Efficiency Building Code for Commercial Buildings in Sri Lanka","year":2000,"lang":"en","type":"article","venue":"Lawrence Berkeley National Laboratory","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":"Ceylon; Sri lanka; National laboratory; Electricity; Building code; Efficient energy use; Architectural engineering; Environmental science; Engineering; Environmental protection; Engineering physics; Ancient history; History; Environmental planning; Electrical engineering","score_opus":0.01207061536308503,"score_gpt":0.2627729317270748,"score_spread":0.25070231636398976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752211410","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":[0.03095432,0.0041726823,0.07942023,0.0030155494,0.0009911623,0.0023874722,0.09800579,0.010139362,0.7709135],"genre_scores_gemma":[0.28603947,0.009734659,0.17195003,0.0012187841,0.00030050945,0.008371618,0.14569125,0.0039081085,0.37278566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875903,0.00020279053,0.00017759115,0.000055603934,0.0005955857,0.00020941382],"domain_scores_gemma":[0.9967417,0.00033413686,0.00017296364,0.00033877464,0.0023348536,0.00007759404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072920584,0.0011148072,0.00049311755,0.002752729,0.0013637838,0.0015355634,0.0011839968,0.0009984913,0.021714011],"category_scores_gemma":[0.0034734423,0.0009401046,0.0004945441,0.005276584,0.0004575708,0.0009963424,0.0008884176,0.0020229926,0.010420477],"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":[0.0002797184,0.00019053157,0.008061355,0.0014813949,0.00004070568,0.00045139852,0.002510451,0.032656826,0.007151506,0.105478026,0.65696996,0.18472818],"study_design_scores_gemma":[0.000043240663,0.000052953303,0.01945213,0.00038115724,0.00002957764,0.00015375258,0.0007508571,0.0050365357,0.0016044658,0.0029091658,0.96953076,0.00005547543],"about_ca_topic_score_codex":0.16401553,"about_ca_topic_score_gemma":0.15503414,"teacher_disagreement_score":0.16401553,"about_ca_system_score_codex":0.00432705,"about_ca_system_score_gemma":0.008312798,"threshold_uncertainty_score":0.3261217},"labels":[],"label_agreement":null},{"id":"W2757455963","doi":"10.1016/j.jclepro.2017.09.197","title":"Towards sustainability assessment of machining processes","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Energy Efficiency and Management","field":"Energy","cited_by":158,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Weighting; Metric (unit); Sustainability; Flexibility (engineering); Energy consumption; Work (physics); Life-cycle assessment; Industrial engineering; Manufacturing engineering; Computer science; Environmental impact assessment; Engineering; Reliability engineering; Risk analysis (engineering); Mechanical engineering; Operations management; Production (economics); Mathematics; Business; Statistics","score_opus":0.01884569598221116,"score_gpt":0.33044254458797556,"score_spread":0.3115968486057644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757455963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52833515,0.002507559,0.42589265,0.0017435956,0.000076701086,0.00031269505,0.00036072725,0.0002409411,0.040529903],"genre_scores_gemma":[0.9682072,0.0006223017,0.028837891,0.00006288064,0.000019232768,0.00008077029,0.0002126322,0.000024839657,0.0019322874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972475,0.0010106276,0.00011422685,0.00017119148,0.0012595801,0.00019679661],"domain_scores_gemma":[0.99775225,0.0008027717,0.00021549266,0.00015228112,0.001011144,0.00006607851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038990001,0.0008596355,0.0006533011,0.0027321773,0.0005687878,0.0028265896,0.00086646964,0.0014410987,0.0012006739],"category_scores_gemma":[0.0065761944,0.0003283882,0.0007662253,0.0014100195,0.0008688991,0.0021567692,0.0021464466,0.00091659446,0.00018231689],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031375297,0.00049205683,0.060419925,0.0005617767,0.0003052315,0.00026406415,0.00036617057,0.5532712,0.023345307,0.08425976,0.0013263179,0.27507445],"study_design_scores_gemma":[0.000029064613,0.00046493157,0.024012273,0.00019734571,0.000103423794,0.000111022324,0.0011578505,0.7940026,0.03033669,0.13973866,0.009791226,0.000054890006],"about_ca_topic_score_codex":0.0026899455,"about_ca_topic_score_gemma":0.003404495,"teacher_disagreement_score":0.0038990001,"about_ca_system_score_codex":0.0020845425,"about_ca_system_score_gemma":0.001930916,"threshold_uncertainty_score":0.020620108},"labels":[],"label_agreement":null},{"id":"W2765324639","doi":"10.5465/ambpp.2017.11442abstract","title":"Piece-Rate Compensation and the Performance of Non-Routine Work","year":2017,"lang":"en","type":"article","venue":"Academy of Management Proceedings","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":"University of Toronto","funders":"","keywords":"Incentive; Piece work; Compensation (psychology); Work (physics); Quality (philosophy); Yield (engineering); Computer science; Empirical evidence; Operations management; Actuarial science; Operations research; Business; Economics; Microeconomics; Psychology; Engineering; Social psychology","score_opus":0.015221786087332975,"score_gpt":0.24558470998817397,"score_spread":0.230362923900841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765324639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99364966,0.00022947465,0.0011152347,0.00007555193,0.0000147360915,0.00006585861,0.0011772037,0.00004036524,0.0036319334],"genre_scores_gemma":[0.9957743,0.000080466394,0.0008645477,0.00002063218,0.00002325045,0.00004522671,0.0013732662,0.000016126818,0.0018020301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955929,0.0015741212,0.000461352,0.0005309865,0.0014154416,0.00042519494],"domain_scores_gemma":[0.92916137,0.022908462,0.032659456,0.0061331107,0.005628096,0.0035095902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00497401,0.00036843753,0.00036639618,0.0021365718,0.00044313163,0.0014226862,0.0008200188,0.00059705105,0.0070921057],"category_scores_gemma":[0.0383937,0.00019101887,0.00035099362,0.0021180543,0.0005347461,0.0005843271,0.0010707348,0.0005533902,0.002150327],"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":[0.0007889227,0.00060284795,0.9675446,0.00012594092,0.0001304633,0.00004256499,0.00073016394,0.0014096214,0.0010378087,0.00041831515,0.00088315515,0.02628549],"study_design_scores_gemma":[0.00001232377,0.00020971909,0.9982747,0.000011423327,0.000006543919,0.00002253349,0.00018386151,0.00039856543,0.00016344922,0.00010965908,0.00060013,0.0000071446643],"about_ca_topic_score_codex":0.00248372,"about_ca_topic_score_gemma":0.004003781,"teacher_disagreement_score":0.0070921057,"about_ca_system_score_codex":0.0006788976,"about_ca_system_score_gemma":0.00046673394,"threshold_uncertainty_score":0.026305377},"labels":[],"label_agreement":null},{"id":"W2768640883","doi":"10.5547/01956574.39.2.wcai","title":"Vintage Capital, Technology Adoption and Electricity Demand-Side Management","year":2018,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Energy Efficiency and Management","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":"University of Winnipeg","funders":"","keywords":"Economics; Electricity; Subsidy; Demand side; Capital (architecture); Microeconomics; Energy (signal processing); Environmental economics; Industrial organization; Engineering","score_opus":0.005826211528247168,"score_gpt":0.21276975901602463,"score_spread":0.20694354748777746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768640883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96999425,0.0006275903,0.012849665,0.0009965032,0.000025312518,0.00008170054,0.00085337384,0.00007852614,0.014493145],"genre_scores_gemma":[0.9972485,0.00021352274,0.00036846322,0.000036755355,0.000009304524,0.000012814248,0.00015989887,0.000003931991,0.0019468964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99945205,0.00012527723,0.000028396116,0.00009944593,0.00008986359,0.00020499814],"domain_scores_gemma":[0.9943516,0.0029506946,0.0018469394,0.0002992587,0.00014796392,0.00040360124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009712272,0.0003323155,0.00039778074,0.0004206879,0.00039840103,0.0020398225,0.000989296,0.0010515196,0.0062407833],"category_scores_gemma":[0.0066898023,0.00033650306,0.00041272078,0.0009280749,0.0011695509,0.0018413977,0.0009654799,0.0012630528,0.00027279314],"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":[0.0009187972,0.001267323,0.26487106,0.00025445686,0.00035266674,0.001557339,0.00073161966,0.55941296,0.005066646,0.10399708,0.0035456317,0.05802441],"study_design_scores_gemma":[0.00026492967,0.0014055659,0.44489768,0.00020677569,0.0003467312,0.0008173252,0.0014551706,0.40899122,0.0077050724,0.11326615,0.020441396,0.0002020626],"about_ca_topic_score_codex":0.0136197535,"about_ca_topic_score_gemma":0.018652335,"teacher_disagreement_score":0.0136197535,"about_ca_system_score_codex":0.0034943658,"about_ca_system_score_gemma":0.0008022487,"threshold_uncertainty_score":0.027080953},"labels":[],"label_agreement":null},{"id":"W2769008159","doi":"10.5539/ass.v13n12p125","title":"Drivers of Residential Energy Saving","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Environmental economics; Efficient energy use; Business; Energy current; Energy consumption; Economics; Engineering; Mathematics; Statistics","score_opus":0.011584600558450776,"score_gpt":0.2667847610168103,"score_spread":0.2552001604583595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769008159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912599,0.00018156957,0.00022022342,0.00060579553,0.0000067975407,0.00002082578,0.0006987272,0.000013195045,0.006992905],"genre_scores_gemma":[0.9981363,0.00016933556,0.000095482996,0.000019973537,0.000004191407,0.0000061531828,0.0002717628,0.0000031991963,0.0012935793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996973,0.000055772427,0.000027446691,0.000034378194,0.00010751308,0.00007765169],"domain_scores_gemma":[0.9989557,0.0002468768,0.000391799,0.00005076461,0.00018353849,0.0001712925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034781036,0.000112395275,0.0001765129,0.00073966,0.00029828248,0.0008457897,0.00025166984,0.00025913923,0.008184325],"category_scores_gemma":[0.0013149262,0.00014738187,0.0003774664,0.0016987748,0.00026967167,0.0004880141,0.0006850913,0.0005459688,0.00051372993],"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":[0.000022250948,0.000082013845,0.9864281,0.00005527963,0.0000464471,0.00020626577,0.00089450757,0.0004934567,0.000345252,0.0025543377,0.00083349284,0.008038707],"study_design_scores_gemma":[0.0000010733555,0.000015231071,0.99277604,0.000021276277,0.00001557253,0.0001453802,0.0030086313,0.00069384335,0.00010946947,0.00029001557,0.0029159081,0.0000075520243],"about_ca_topic_score_codex":0.012991819,"about_ca_topic_score_gemma":0.020535925,"teacher_disagreement_score":0.012991819,"about_ca_system_score_codex":0.0006605196,"about_ca_system_score_gemma":0.0007121079,"threshold_uncertainty_score":0.027379274},"labels":[],"label_agreement":null},{"id":"W2795828045","doi":"10.5465/ambpp.2016.12223symposium","title":"Human Energy in Work Organizations: A Look at the Everyday","year":2016,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Energy Efficiency and Management","field":"Energy","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":"Conversation; Everyday life; Work (physics); Energy (signal processing); Public relations; Sociology; Set (abstract data type); Theme (computing); Psychology; Social psychology; Political science; Engineering; Computer science; Communication","score_opus":0.010915400889164626,"score_gpt":0.23155123494504135,"score_spread":0.22063583405587672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795828045","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":[0.1700973,0.22260542,0.017022083,0.2942124,0.018422581,0.00012626244,0.0001638209,0.00023444722,0.27711567],"genre_scores_gemma":[0.85608286,0.08119411,0.0052663144,0.03093426,0.005583673,0.00014946701,0.00008410471,0.00023413544,0.020471146],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99367964,0.0042370493,0.00015984457,0.00040881903,0.0006231481,0.0008914343],"domain_scores_gemma":[0.99618715,0.002098316,0.0002805525,0.0002695236,0.00034521578,0.0008193203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004285888,0.00089025305,0.00073995645,0.0025888116,0.016547224,0.02442788,0.0016499261,0.0059567727,0.004938625],"category_scores_gemma":[0.0029038163,0.0005227458,0.0010227774,0.0022467931,0.032733787,0.019114655,0.012051878,0.00800399,0.0010322974],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056659246,0.00012628824,0.003580751,0.0013468087,0.000038183476,0.0009722089,0.6929629,0.0003286905,0.0012044759,0.22139122,0.033834107,0.0441577],"study_design_scores_gemma":[0.0000058474566,0.000098051176,0.0033384948,0.0014517742,0.000022584849,0.0005922365,0.5360367,0.000108318505,0.00023381886,0.04233931,0.4157153,0.000057559133],"about_ca_topic_score_codex":0.0044816677,"about_ca_topic_score_gemma":0.007643414,"teacher_disagreement_score":0.02442788,"about_ca_system_score_codex":0.0045946706,"about_ca_system_score_gemma":0.0035862578,"threshold_uncertainty_score":0.03333682},"labels":[],"label_agreement":null},{"id":"W2797020381","doi":"","title":"Energy Management and Environmental Sustainability of the Canadian Oil Sands Industry","year":2018,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Energy Efficiency and Management","field":"Energy","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":"Sustainability; Oil sands; Business; Natural resource economics; Environmental resource management; Environmental planning; Environmental science; Environmental protection; Geography; Economics; Archaeology; Ecology; Asphalt","score_opus":0.003791010554755945,"score_gpt":0.1661126176892763,"score_spread":0.16232160713452035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797020381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.607422,0.009676277,0.021857316,0.010327866,0.000115854724,0.00032317452,0.002914021,0.00030331485,0.3470602],"genre_scores_gemma":[0.96029633,0.0047307615,0.007617733,0.00013235174,0.000009448812,0.000025816089,0.0004899262,0.000026911155,0.02667068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99946266,0.000045982088,0.000008538373,0.00004891282,0.00029054898,0.00014322456],"domain_scores_gemma":[0.9998087,0.000016768785,0.00001645455,0.000006269857,0.00012790722,0.000023870145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041228882,0.00042378638,0.0001566743,0.001091201,0.0020971869,0.0022495054,0.00071636273,0.00047051013,0.0026551902],"category_scores_gemma":[0.0006278325,0.00017896412,0.00031740285,0.0019293405,0.00074606563,0.00051172543,0.0006843989,0.0004032291,0.00018792227],"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":[0.00018775533,0.00019099435,0.043776087,0.00042660296,0.00008973269,0.0006659524,0.00092101865,0.54454297,0.008330163,0.09299446,0.027182339,0.28069198],"study_design_scores_gemma":[0.000054389373,0.00014307146,0.11685319,0.0003538919,0.00015918927,0.00014617419,0.008181419,0.5444216,0.011103593,0.022493923,0.2958344,0.0002551943],"about_ca_topic_score_codex":0.9850819,"about_ca_topic_score_gemma":0.9922093,"teacher_disagreement_score":0.044674456,"about_ca_system_score_codex":0.044674456,"about_ca_system_score_gemma":0.05684081,"threshold_uncertainty_score":0.3241374},"labels":[],"label_agreement":null},{"id":"W2801768405","doi":"10.2175/193864718822846661","title":"Biotrickling Filtration of Sewage Plant Exhausts – Recirculation versus Once-through Irrigation","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Biorem Technologies (Canada)","funders":"","keywords":"Filtration (mathematics); Environmental science; Irrigation; Sewage; Pulp and paper industry; Environmental engineering; Agronomy; Biology; Mathematics; Engineering","score_opus":0.020744114533417925,"score_gpt":0.21306302178383396,"score_spread":0.19231890725041603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801768405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953099,0.00071508175,0.0028027294,0.000038360533,0.00003919898,0.000024759887,0.00003963496,0.000041349347,0.0009890567],"genre_scores_gemma":[0.99392694,0.0005814342,0.002513038,0.000036888643,0.000011324114,0.000009729142,0.000092563445,0.000017418646,0.00281058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996062,0.00007226955,0.000033361168,0.00008772849,0.00008318523,0.000117347125],"domain_scores_gemma":[0.99972504,0.0000636864,0.00006605572,0.00004265675,0.00007704204,0.000025622174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005827375,0.00030866484,0.0007916865,0.0003129125,0.0003120004,0.0013638638,0.00030459557,0.00047414596,0.001308392],"category_scores_gemma":[0.0004277668,0.00015649693,0.0008233642,0.0002970205,0.0002938302,0.00082528626,0.00045121124,0.00035800633,0.0003759278],"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":[0.0024480945,0.0003438443,0.003150309,0.00024046624,0.00007487594,0.00006570565,0.00013777139,0.00263293,0.9328849,0.0003562986,0.00021182754,0.05745296],"study_design_scores_gemma":[0.00006349259,0.0035020977,0.016132388,0.00002720045,0.000162261,0.0001378576,0.00016002775,0.0061749006,0.96989036,0.00010992475,0.003607702,0.000031749212],"about_ca_topic_score_codex":0.0039003172,"about_ca_topic_score_gemma":0.0050690183,"teacher_disagreement_score":0.0039003172,"about_ca_system_score_codex":0.0005997842,"about_ca_system_score_gemma":0.00077471184,"threshold_uncertainty_score":0.00775522},"labels":[],"label_agreement":null},{"id":"W2801810193","doi":"10.1016/j.ecolecon.2018.04.009","title":"Technological Change and Energy Efficiency in Large Chinese Firms","year":2018,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Energy Efficiency and Management","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Tsinghua University; National Natural Science Foundation of China; Tsinghua Initiative Scientific Research Program; National Science Foundation","keywords":"Technological change; Embodied energy; Efficient energy use; Economics; Consumption (sociology); Energy consumption; China; Business; Investment (military); Energy (signal processing); Industrial organization; Production (economics); Profit (economics); Commerce; Market economy; Microeconomics; Macroeconomics","score_opus":0.01647394644225012,"score_gpt":0.2250913851943549,"score_spread":0.20861743875210478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801810193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850744,0.00020542037,0.000039620532,0.00013023187,0.0000014119815,0.000003943794,0.000021902813,0.0000013553018,0.0010887104],"genre_scores_gemma":[0.9995894,0.00009150204,0.000010499012,0.000010539572,0.0000022535198,0.0000016378438,0.000026778354,3.3260727e-7,0.00026709223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995407,0.000068808484,0.00003016942,0.00006971625,0.00008032828,0.0002103047],"domain_scores_gemma":[0.99690115,0.0014855948,0.0006759756,0.00013841141,0.00034757023,0.00045126688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096140336,0.00023178806,0.00031671912,0.001970902,0.0014096133,0.0018598577,0.00044561326,0.0007230761,0.0018276976],"category_scores_gemma":[0.0026657928,0.00027930012,0.0005045492,0.0033818316,0.001459449,0.0012862558,0.0010542922,0.000549254,0.00011304407],"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":[0.00020738954,0.000282996,0.9756579,0.000057689547,0.00012821807,0.00080335245,0.00281877,0.0054437695,0.0009355927,0.006374589,0.00032313488,0.0069665466],"study_design_scores_gemma":[0.000013718692,0.000046456054,0.99240476,0.0000112031075,0.000059888163,0.00003620462,0.003041514,0.0028846376,0.0002537836,0.0006965671,0.000537743,0.000013618191],"about_ca_topic_score_codex":0.22390562,"about_ca_topic_score_gemma":0.2954138,"teacher_disagreement_score":0.22390562,"about_ca_system_score_codex":0.008378238,"about_ca_system_score_gemma":0.003886479,"threshold_uncertainty_score":0.44520468},"labels":[],"label_agreement":null},{"id":"W2810608937","doi":"10.1007/s12053-018-9702-0","title":"Are households with pro-environmental behaviours more likely to undertake residential energy efficiency audits? Evidence from Canada","year":2018,"lang":"en","type":"article","venue":"Energy Efficiency","topic":"Energy Efficiency and Management","field":"Energy","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Audit; Efficient energy use; Greenhouse gas; Business; Incentive; Energy conservation; Environmental economics; Government (linguistics); Sustainable development; Natural resource economics; Public economics; Environmental resource management; Economics; Accounting; Engineering; Ecology","score_opus":0.015021107671992046,"score_gpt":0.21994762442660484,"score_spread":0.2049265167546128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810608937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95703924,0.009758997,0.00031011493,0.007613771,0.00016643119,0.000102682745,0.006385949,0.000011928168,0.018610775],"genre_scores_gemma":[0.98970944,0.0043818657,0.00022143681,0.0012182064,0.000024041632,0.00003108653,0.0012224442,0.000008909863,0.0031825337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99623775,0.00067566073,0.0002506142,0.00048263976,0.001091907,0.0012614771],"domain_scores_gemma":[0.9712971,0.004997808,0.007662378,0.00085895124,0.011537968,0.003645818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00243469,0.00034761694,0.0007368701,0.0013012667,0.0031777977,0.0025133959,0.0022144176,0.0011270886,0.007431221],"category_scores_gemma":[0.015812445,0.0006611037,0.0012171802,0.0052521457,0.0018351132,0.00093721633,0.0014654443,0.0019238812,0.00036376534],"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":[0.00031050362,0.00013347233,0.97526133,0.00040417243,0.00031294787,0.00020132361,0.0028554387,0.00016780726,0.00006583911,0.0011705669,0.007745734,0.011370815],"study_design_scores_gemma":[0.000050078826,0.00003626105,0.9866258,0.0005910243,0.00024816446,0.000054979482,0.007332486,0.00015949752,0.000058344354,0.00013815305,0.0046797544,0.0000255141],"about_ca_topic_score_codex":0.99533683,"about_ca_topic_score_gemma":0.997755,"teacher_disagreement_score":0.021606157,"about_ca_system_score_codex":0.021606157,"about_ca_system_score_gemma":0.044241857,"threshold_uncertainty_score":0.15676439},"labels":[],"label_agreement":null},{"id":"W2887124564","doi":"10.1016/j.erss.2018.05.007","title":"Beyond technocracy: Forms of rationality and uncertainty in organizational behaviour and energy efficiency decision making in Canada","year":2018,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Energy Efficiency and Management","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Technocracy; Rationality; Negotiation; Efficient energy use; Bridging (networking); Certainty; Uncertainty reduction theory; Uncertainty; Energy (signal processing); Contingency theory; Risk analysis (engineering); Business; Environmental economics; Economics; Knowledge management; Computer science; Psychology; Social psychology; Engineering; Sociology; Political science","score_opus":0.016139234025052494,"score_gpt":0.3205145547777978,"score_spread":0.30437532075274526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887124564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96544415,0.0009209805,0.000820982,0.0068900874,0.000033768254,0.00005991303,0.0005375606,0.000016883267,0.025275754],"genre_scores_gemma":[0.99061793,0.0003135538,0.00033325687,0.00015884983,0.0000044464873,0.000014504292,0.00011406062,0.0000119719825,0.008431388],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9946444,0.001153105,0.00024589567,0.0005345034,0.0014583344,0.0019637777],"domain_scores_gemma":[0.98247576,0.006971817,0.00122278,0.0005998355,0.006110012,0.0026197913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004627361,0.0002491002,0.0007700352,0.0017726911,0.014089489,0.007634937,0.002098227,0.001351516,0.0056758607],"category_scores_gemma":[0.020982085,0.0005025386,0.00065734505,0.0039328285,0.0047643143,0.001696857,0.00261707,0.002641218,0.0002665752],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0010567806,0.00043772874,0.6399276,0.0002978976,0.00025230975,0.0011071924,0.09930892,0.012064952,0.0008071867,0.1401122,0.017836334,0.08679084],"study_design_scores_gemma":[0.0001259274,0.000106845466,0.73413527,0.00047394534,0.00014828722,0.00016934349,0.16397424,0.019557297,0.0009393354,0.021594992,0.058408126,0.00036637933],"about_ca_topic_score_codex":0.9990553,"about_ca_topic_score_gemma":0.9995592,"teacher_disagreement_score":0.83000207,"about_ca_system_score_codex":0.1699979,"about_ca_system_score_gemma":0.25398725,"threshold_uncertainty_score":0.9626848},"labels":[],"label_agreement":null},{"id":"W2894879751","doi":"10.2172/1474403","title":"Meeting Growing Energy Efficiency Challenges by Supporting the Program Administrator Industry","year":2018,"lang":"en","type":"report","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Business; Efficient energy use; Engineering management; Engineering; Physics; Electrical engineering","score_opus":0.041666832068837596,"score_gpt":0.31869836190171325,"score_spread":0.27703152983287566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894879751","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":[0.056560803,0.004141271,0.011388991,0.43161583,0.007972649,0.002710132,0.001998831,0.002310709,0.48130074],"genre_scores_gemma":[0.22381233,0.007976783,0.032315772,0.07335011,0.0034471867,0.0029851682,0.005948036,0.001740351,0.6484242],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9702471,0.0068740835,0.0007347612,0.0012845381,0.01341364,0.00744592],"domain_scores_gemma":[0.9413307,0.00646592,0.0019796167,0.0031844268,0.023419999,0.023619361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034013912,0.00091771124,0.00044660177,0.0021465959,0.007949091,0.012823242,0.0029172308,0.0056975023,0.03503864],"category_scores_gemma":[0.03125738,0.000805816,0.00061679987,0.0020596047,0.0016794988,0.0069115446,0.010961289,0.0073273033,0.009312397],"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":[0.00006501214,0.0008508906,0.008539929,0.00014098188,0.000013302191,0.00017205674,0.0014288881,0.00022506464,0.0013853417,0.0176567,0.881176,0.08834581],"study_design_scores_gemma":[0.000023914441,0.00011682783,0.0063116187,0.00014550777,0.0000076872875,0.00014695966,0.0030572312,0.00027187177,0.0009065704,0.0008704204,0.98812103,0.000020402736],"about_ca_topic_score_codex":0.041927584,"about_ca_topic_score_gemma":0.1381943,"teacher_disagreement_score":0.041927584,"about_ca_system_score_codex":0.010988052,"about_ca_system_score_gemma":0.12859891,"threshold_uncertainty_score":0.17988491},"labels":[],"label_agreement":null},{"id":"W2898479601","doi":"10.7492/ijaec.2015.015","title":"Business Models for the Integrated Use of Photovoltaics in Buildings","year":2015,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaics; Architectural engineering; Business model; Building-integrated photovoltaics; Environmental science; Engineering; Business; Photovoltaic system; Electrical engineering; Marketing","score_opus":0.01646525946473727,"score_gpt":0.2138562484532798,"score_spread":0.19739098898854254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898479601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2949096,0.0014567623,0.35832155,0.011488412,0.00021876562,0.00051955023,0.00060710305,0.0004284551,0.33204982],"genre_scores_gemma":[0.966325,0.00035277285,0.025330784,0.000111286965,0.000029306553,0.000108757115,0.0002216452,0.0000407431,0.007479827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967579,0.0018735571,0.00012973172,0.0001885279,0.0007517707,0.00029839732],"domain_scores_gemma":[0.99581534,0.0025419162,0.0003215582,0.00035888256,0.0005875777,0.00037463257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003471126,0.00045053285,0.00031364517,0.0013255652,0.0012735522,0.0074698157,0.0015250223,0.002288817,0.009578199],"category_scores_gemma":[0.008840065,0.00038888844,0.001205399,0.0016784894,0.0013678174,0.007086903,0.0021686906,0.0017745306,0.0013669989],"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":[0.00010286859,0.0002360297,0.0027619903,0.00005527276,0.000038325048,0.00030057228,0.0006309215,0.078671016,0.00071526057,0.89129335,0.0022868877,0.02290754],"study_design_scores_gemma":[0.000047759648,0.00011083132,0.0018449151,0.00012656585,0.000044557877,0.00026182586,0.0017229964,0.49020967,0.00075478404,0.48200774,0.02281837,0.00004997046],"about_ca_topic_score_codex":0.0076253656,"about_ca_topic_score_gemma":0.010882815,"teacher_disagreement_score":0.009578199,"about_ca_system_score_codex":0.004275804,"about_ca_system_score_gemma":0.0028179449,"threshold_uncertainty_score":0.032042265},"labels":[],"label_agreement":null},{"id":"W2914915552","doi":"10.12974/2311-8741.2018.06.4","title":"Benchmarking Electro-Energetic Performance of Industrial Systems by using Novel Concept of Benchmarking Energy Factor (BEF)","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Science and Engineering Technology","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":true,"ca_institutions":"Canadian Standards Association; BC Hydro (Canada)","funders":"","keywords":"Benchmarking; Benchmark (surveying); Efficient energy use; Computer science; Process (computing); Reliability engineering; Energy (signal processing); Environmental economics; Process engineering; Manufacturing engineering; Risk analysis (engineering); Engineering; Business; Statistics; Electrical engineering; Mathematics; Economics; Operating system","score_opus":0.008386567124562323,"score_gpt":0.1859245865827666,"score_spread":0.17753801945820427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914915552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034281034,0.0011505794,0.9479716,0.00026169216,0.00014156141,0.00009640354,0.00026398315,0.001127228,0.014706018],"genre_scores_gemma":[0.79954326,0.0013011643,0.19480269,0.000110490684,0.000073238276,0.00021843257,0.0005084518,0.00019551787,0.0032467386],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972421,0.0006409558,0.00014256086,0.00047007485,0.0013819577,0.00012234578],"domain_scores_gemma":[0.9990707,0.0002742992,0.00018057872,0.00016852572,0.00027776824,0.000028155686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016191569,0.0008723339,0.0007476862,0.0023292135,0.0002897998,0.0017893644,0.0007974611,0.00076627306,0.001779295],"category_scores_gemma":[0.0033691865,0.00019399439,0.0006280829,0.001894283,0.00075902545,0.0021399802,0.0010071174,0.0005231358,0.00045242152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025726418,0.00021702154,0.015369051,0.0012863786,0.0001833169,0.0003414609,0.00053063117,0.24868284,0.07190932,0.11456849,0.006140702,0.5405135],"study_design_scores_gemma":[0.000042942607,0.0009129312,0.0162656,0.00031786851,0.00010346469,0.0010115594,0.00047412296,0.757945,0.0990516,0.0676622,0.05597718,0.00023559316],"about_ca_topic_score_codex":0.0011867689,"about_ca_topic_score_gemma":0.0007222824,"teacher_disagreement_score":0.0023292135,"about_ca_system_score_codex":0.0008514216,"about_ca_system_score_gemma":0.00064817676,"threshold_uncertainty_score":0.008563042},"labels":[],"label_agreement":null},{"id":"W2914927185","doi":"10.1016/j.cie.2019.02.009","title":"Economic production quantity model with learning in production, quality, reliability and energy efficiency","year":2019,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtime; Production (economics); Rework; Quality (philosophy); Efficient energy use; Economic production quantity; Reliability (semiconductor); Sizing; Product (mathematics); Energy (signal processing); Manufacturing engineering; Reliability engineering; Environmental economics; Computer science; Risk analysis (engineering); Engineering; Business; Economics; Microeconomics","score_opus":0.018217207290515992,"score_gpt":0.21615633970829523,"score_spread":0.19793913241777925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914927185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07593504,0.001007696,0.88085866,0.0031288005,0.0002473871,0.00013626645,0.00070751633,0.00031250803,0.0376661],"genre_scores_gemma":[0.9127327,0.0007471067,0.033157505,0.00018962174,0.00018045824,0.00023187675,0.00035873454,0.00009191309,0.052310027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887985,0.0005026111,0.000045934772,0.00022044273,0.00019289767,0.00015825273],"domain_scores_gemma":[0.9964689,0.0024864175,0.00030778136,0.00016417855,0.00039600572,0.0001767337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023984155,0.0009413016,0.0016959751,0.00097523007,0.0006108738,0.0021039946,0.003004847,0.0022700096,0.009638494],"category_scores_gemma":[0.0062673506,0.0007165331,0.0012508912,0.0013277087,0.0018985576,0.0034307777,0.0014530199,0.0022240586,0.000826251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047356752,0.00007797823,0.00040638458,0.00006843576,0.0000272787,0.000062798805,0.000037275997,0.8911223,0.00019655091,0.10186784,0.0007730262,0.005312876],"study_design_scores_gemma":[0.00001934507,0.00002648425,0.00021263784,0.000006796712,0.000013065197,0.000011211636,0.000010611369,0.9627783,0.00007382199,0.036124002,0.0007142154,0.000009454875],"about_ca_topic_score_codex":0.009343633,"about_ca_topic_score_gemma":0.005062976,"teacher_disagreement_score":0.009638494,"about_ca_system_score_codex":0.002469748,"about_ca_system_score_gemma":0.0017854339,"threshold_uncertainty_score":0.032243967},"labels":[],"label_agreement":null},{"id":"W2915087562","doi":"10.32464/2618-8716-2018-1-2-73-82","title":"Automation of energy management is the key to reduce product cost","year":2019,"lang":"en","type":"article","venue":"Power and Autonomous equipment","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":"Sydney Steel (Canada)","funders":"","keywords":"Energy management; Energy consumption; Energy accounting; Automation; Efficient energy use; Energy management system; Energy conservation; Energy engineering; Risk analysis (engineering); Energy (signal processing); Computer science; Environmental economics; Operations management; Engineering; Business; Economics; Mechanical engineering; Electrical engineering","score_opus":0.009076638996407834,"score_gpt":0.23357477536732607,"score_spread":0.22449813637091823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915087562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10924189,0.016519228,0.6434133,0.013022266,0.0011994335,0.00060878956,0.000890599,0.00568488,0.2094196],"genre_scores_gemma":[0.73469985,0.008542378,0.21838579,0.0013568394,0.0009577992,0.00029615022,0.0009995018,0.00054088957,0.034220777],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843246,0.0003092375,0.0001129173,0.00016727037,0.00088420266,0.00009386883],"domain_scores_gemma":[0.997488,0.0007989577,0.0006212452,0.00046978873,0.0005597684,0.00006208031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081649807,0.00060063053,0.0003321483,0.0006731068,0.00044107693,0.0024416917,0.00065240194,0.0006406869,0.012281376],"category_scores_gemma":[0.0027295856,0.0001698447,0.0003728857,0.0010779302,0.00069099077,0.0022457575,0.0005854749,0.0007892231,0.0052602855],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019275547,0.00032385802,0.009698679,0.0013402652,0.000114770606,0.00023096621,0.00027673898,0.02236712,0.038591385,0.076580875,0.027275328,0.8230072],"study_design_scores_gemma":[0.0000787359,0.0006462371,0.030358328,0.0012942917,0.00014962381,0.001193543,0.00075177086,0.056885768,0.06272298,0.19482604,0.6509577,0.00013497482],"about_ca_topic_score_codex":0.00070965727,"about_ca_topic_score_gemma":0.0007976016,"teacher_disagreement_score":0.012281376,"about_ca_system_score_codex":0.00080302387,"about_ca_system_score_gemma":0.0013480438,"threshold_uncertainty_score":0.041085362},"labels":[],"label_agreement":null},{"id":"W2918010299","doi":"10.3386/w25576","title":"Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Consumption (sociology); Electricity; Economics; Electricity pricing; Environmental economics; Business; Econometrics; Agricultural economics; Electricity market; Engineering","score_opus":0.20061181322896765,"score_gpt":0.4712689645566296,"score_spread":0.27065715132766194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918010299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752798,0.00039127952,0.0015459727,0.0014268324,0.000109301574,0.00033562043,0.00041302593,0.000038435483,0.020459745],"genre_scores_gemma":[0.9907611,0.00051948207,0.0026551108,0.0008444726,0.00012430173,0.00051634427,0.00031355847,0.000014327516,0.004251435],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9967892,0.0020408593,0.00012902361,0.00040524732,0.00046280897,0.00017282201],"domain_scores_gemma":[0.94959927,0.039386094,0.0065928665,0.0028036279,0.0009809431,0.00063730363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031399508,0.0006126308,0.00038974243,0.00036536093,0.0006070102,0.0009066966,0.00087511784,0.0011459389,0.012855867],"category_scores_gemma":[0.016476473,0.0003764503,0.00044739473,0.0003186882,0.0018450632,0.0008916023,0.00057122234,0.0011968354,0.00084718183],"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":[0.072725944,0.37370113,0.14815566,0.0042694877,0.0024233619,0.0007201408,0.0031753718,0.013676875,0.08583822,0.04274117,0.015130254,0.2374424],"study_design_scores_gemma":[0.02200405,0.16232334,0.6147552,0.0010407655,0.0028796564,0.0005252821,0.0040345704,0.023636963,0.098566964,0.034203887,0.035660952,0.0003682403],"about_ca_topic_score_codex":0.002727167,"about_ca_topic_score_gemma":0.002481468,"teacher_disagreement_score":0.012855867,"about_ca_system_score_codex":0.0008363549,"about_ca_system_score_gemma":0.00093315734,"threshold_uncertainty_score":0.043007135},"labels":[],"label_agreement":null},{"id":"W2921362835","doi":"10.3390/wsf-00561","title":"Energy Cost of Energy Saving in Building: A Review","year":2011,"lang":"en","type":"review","venue":"","topic":"Energy Efficiency and Management","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":"École de Technologie Supérieure","funders":"","keywords":"Efficient energy use; Context (archaeology); Clearance; Energy (signal processing); Computer science; Yardstick; Architectural engineering; Environmental economics; Energy accounting; Risk analysis (engineering); Engineering; Business; Economics; Mathematics","score_opus":0.060014319540884965,"score_gpt":0.31523198273638736,"score_spread":0.2552176631955024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921362835","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014662527,0.99904937,0.00006745351,0.00007883873,0.00006125491,0.0000027940814,0.000013655845,0.0000020207478,0.0005779848],"genre_scores_gemma":[0.00083237083,0.9988733,0.000084309664,0.00003111044,0.00004096838,0.000002705608,0.000014297099,6.616134e-7,0.00012022941],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963737,0.00005982419,0.00005861759,0.00006703884,0.00015387694,0.000023253953],"domain_scores_gemma":[0.9992594,0.000450866,0.000121120065,0.000013616343,0.0001356201,0.000019278783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006520607,0.0010299879,0.0020325417,0.0037571928,0.0002755065,0.0013638163,0.001036974,0.0010586467,0.0037070028],"category_scores_gemma":[0.0010970122,0.0005147373,0.0009633899,0.006460734,0.00043057025,0.0017212763,0.00053587835,0.0009373994,0.0009929981],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009195632,0.00010277553,0.00045717173,0.086661704,0.00035667475,0.00019840186,0.000086137254,0.0012451891,0.001092191,0.0065489477,0.019037656,0.8841212],"study_design_scores_gemma":[0.00002178052,0.00017230163,0.003933896,0.03325551,0.00096993917,0.0014504271,0.00021751491,0.00038412726,0.0011724469,0.0039445334,0.9544184,0.000059100097],"about_ca_topic_score_codex":0.002450827,"about_ca_topic_score_gemma":0.0033782544,"teacher_disagreement_score":0.0037571928,"about_ca_system_score_codex":0.00093360245,"about_ca_system_score_gemma":0.0015690514,"threshold_uncertainty_score":0.012401104},"labels":[],"label_agreement":null},{"id":"W2935442462","doi":"10.2118/195208-ms","title":"Hypervolume-Based Multiobjective Optimization for Gas Lift Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","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":"Impact","funders":"","keywords":"Gas lift; Mathematical optimization; Lift (data mining); Multi-objective optimization; Genetic algorithm; Mathematics; Computer science; Engineering; Petroleum engineering","score_opus":0.008077979479941938,"score_gpt":0.20923757277373572,"score_spread":0.2011595932937938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935442462","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018654075,0.00073575653,0.9752357,0.00022611827,0.000044492008,0.00010028025,0.00007965943,0.0001888671,0.004735005],"genre_scores_gemma":[0.6633967,0.0008409027,0.32806623,0.00021513984,0.00007011864,0.00087226584,0.0003922229,0.00023003323,0.0059163515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992907,0.00034831997,0.000027930953,0.00007029546,0.00019222082,0.000070461305],"domain_scores_gemma":[0.9987686,0.0008791455,0.00010860362,0.000028613284,0.00016344138,0.000051522038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002220392,0.0015951344,0.0016426586,0.0018639652,0.00051754323,0.0018151046,0.0010973639,0.0015885109,0.0021927706],"category_scores_gemma":[0.002711592,0.0006981549,0.0013254515,0.0012146392,0.0010000732,0.00079835823,0.0016755818,0.001484817,0.0002861117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010119493,0.000010657729,0.00009322812,0.00002522931,0.000014173498,0.000016161144,0.000009550447,0.99372864,0.00031177443,0.002144971,0.000102102436,0.0035335363],"study_design_scores_gemma":[0.000002599602,0.000008008469,0.000026255428,0.000005748623,0.0000021245985,0.0000025480233,0.0000030806984,0.9984231,0.00010162864,0.0012854461,0.00013716315,0.0000023803227],"about_ca_topic_score_codex":0.005105609,"about_ca_topic_score_gemma":0.0027246496,"teacher_disagreement_score":0.005105609,"about_ca_system_score_codex":0.0017124149,"about_ca_system_score_gemma":0.0012378078,"threshold_uncertainty_score":0.012424469},"labels":[],"label_agreement":null},{"id":"W2959894625","doi":"","title":"Leveraging Customer Perceived Value within Transformation of Electric Utilities: The Case of New Brunswick","year":2017,"lang":"en","type":"article","venue":"Meeting the Energy Demands of Emerging Economies,40th IAEE International Conference,June 18-21, 2017","topic":"Energy Efficiency and Management","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Transformation (genetics); Customer value; Business; Computer science; Marketing; Economics; Microeconomics","score_opus":0.040852831433703204,"score_gpt":0.2837910310633976,"score_spread":0.24293819962969437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959894625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9117286,0.00014529486,0.0012894,0.0037287297,0.000022009945,0.000065261214,0.00004986844,0.000019181329,0.082951605],"genre_scores_gemma":[0.99569255,0.00008950781,0.0002944009,0.00012382767,0.0000025156767,0.0000064312694,0.000017459077,0.000006322282,0.0037671064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99893457,0.00038736287,0.00001869022,0.000059958787,0.00018544462,0.0004140543],"domain_scores_gemma":[0.99760485,0.00114435,0.00017725199,0.00013260175,0.00052541477,0.0004156044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015120821,0.0002611582,0.00016257077,0.0007290627,0.0036604446,0.008061927,0.0011924447,0.0014530323,0.0043870076],"category_scores_gemma":[0.0035606648,0.0001768441,0.00032269667,0.001552589,0.0028518399,0.0040767207,0.0028946593,0.0021789519,0.0002972338],"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":[0.00078016345,0.0014606756,0.24842215,0.00022542119,0.00014021268,0.03411335,0.16868688,0.020666596,0.008358266,0.32823393,0.019691426,0.16922095],"study_design_scores_gemma":[0.00010547423,0.00029072713,0.09987886,0.00030471673,0.00010867269,0.001833579,0.6975925,0.031345006,0.004781227,0.02982446,0.13372561,0.00020904881],"about_ca_topic_score_codex":0.3435121,"about_ca_topic_score_gemma":0.6112544,"teacher_disagreement_score":0.65648794,"about_ca_system_score_codex":0.018849587,"about_ca_system_score_gemma":0.0104281595,"threshold_uncertainty_score":0.68302524},"labels":[],"label_agreement":null},{"id":"W2966639325","doi":"","title":"Applicability of the Dutch ‘Energiesprong’ model to British Columbia","year":2019,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Energy Efficiency and Management","field":"Energy","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":"History; Computer science","score_opus":0.015262124109496704,"score_gpt":0.23435717973291287,"score_spread":0.21909505562341616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966639325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5034863,0.0019681614,0.024724398,0.009585448,0.0004292066,0.00016906326,0.008498803,0.0004015763,0.45073706],"genre_scores_gemma":[0.9454073,0.000598927,0.004400503,0.0002765129,0.000018606514,0.00006890358,0.0020448866,0.00017159386,0.047012776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995478,0.00017415221,0.000014588678,0.00006249726,0.000064105276,0.00013689754],"domain_scores_gemma":[0.9980698,0.000727472,0.000059924594,0.000104744526,0.000903118,0.00013479254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093499373,0.0004998003,0.00063803076,0.0006921778,0.0014691345,0.0027413187,0.0021679942,0.0012231073,0.017921649],"category_scores_gemma":[0.005704901,0.0003781165,0.00055478467,0.0015272384,0.00061985437,0.0013172865,0.0008539773,0.0014356546,0.0011505821],"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":[0.00045473597,0.0001574811,0.012755958,0.00015436902,0.00010523921,0.00048693691,0.0004312594,0.7996473,0.00040123152,0.10954955,0.049124297,0.026731674],"study_design_scores_gemma":[0.00007260309,0.000030647527,0.005563188,0.00008431259,0.00005135874,0.000035055094,0.0010200521,0.9495998,0.0002611126,0.022478921,0.020744877,0.00005812968],"about_ca_topic_score_codex":0.9655425,"about_ca_topic_score_gemma":0.9425705,"teacher_disagreement_score":0.034457505,"about_ca_system_score_codex":0.014200728,"about_ca_system_score_gemma":0.012650903,"threshold_uncertainty_score":0.10303402},"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":"W2974215121","doi":"10.1177/0954405419875344","title":"Role of energy consumption, cutting tool and workpiece materials towards environmentally conscious machining: A comprehensive review","year":2019,"lang":"en","type":"review","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Energy Efficiency and Management","field":"Energy","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":"Ontario Tech University; University of Guelph","funders":"","keywords":"Machining; Environmentally friendly; Sustainability; Energy consumption; Process (computing); Benchmarking; Environmental impact assessment; Manufacturing engineering; Cutting tool; Machine tool; Mechanical engineering; Process engineering; Computer science; Engineering; Business","score_opus":0.01800336126240698,"score_gpt":0.23966685033438379,"score_spread":0.2216634890719768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974215121","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00059301767,0.9981755,0.00020297921,0.00010236781,0.00007865604,0.0000035672947,0.000019857967,0.0000042167385,0.00081978133],"genre_scores_gemma":[0.002682664,0.99666613,0.0002013503,0.000060878323,0.00008937072,0.0000047084304,0.000025345887,0.0000020628386,0.00026746362],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964035,0.000063103544,0.000053831893,0.00008543756,0.00012623784,0.000031002393],"domain_scores_gemma":[0.99903226,0.0005952402,0.00015764643,0.000017983957,0.00017081377,0.000026042153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006863431,0.0011259243,0.0013958387,0.0034480009,0.00033257256,0.0017445799,0.0009267247,0.001252514,0.002692559],"category_scores_gemma":[0.0009435626,0.00040967175,0.0009471979,0.004555787,0.00043545556,0.0018440448,0.0006326501,0.0008139507,0.0007200842],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099259545,0.00016350731,0.001035214,0.09692275,0.00032030497,0.00026727692,0.00022097722,0.0018266648,0.0031273193,0.0060801003,0.013695088,0.8762416],"study_design_scores_gemma":[0.000009863914,0.00033218102,0.005175545,0.024072567,0.0009483863,0.0012982278,0.0004156199,0.0006883791,0.0029614654,0.0028874953,0.96113783,0.00007255366],"about_ca_topic_score_codex":0.0017090231,"about_ca_topic_score_gemma":0.0021023513,"teacher_disagreement_score":0.0034480009,"about_ca_system_score_codex":0.0005709646,"about_ca_system_score_gemma":0.0012761696,"threshold_uncertainty_score":0.009007454},"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":"W2993977778","doi":"","title":"Saving Energy in Refrigerated Warehouses","year":2000,"lang":"en","type":"article","venue":"ASHRAE journal","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":"Refrigeration; Electricity; Gas compressor; Electric power; Warehouse; Electric energy; Energy (signal processing); Efficient energy use; Electric motor; Power (physics); Automotive engineering; Engineering; Business; Electrical engineering; Mechanical engineering; Mathematics","score_opus":0.009790660859157353,"score_gpt":0.22448724686698793,"score_spread":0.21469658600783056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993977778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57800794,0.02601959,0.093870714,0.011504765,0.00050479133,0.00034112626,0.00056207896,0.00054768514,0.2886413],"genre_scores_gemma":[0.9546402,0.007139934,0.016493678,0.00036314045,0.00008715479,0.00005680044,0.00024595813,0.0000397886,0.020933265],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942756,0.00020080668,0.000018586243,0.000039692044,0.0002053083,0.00010808551],"domain_scores_gemma":[0.99983025,0.00004609702,0.000027494043,0.000024170611,0.000055714718,0.000016284119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041980896,0.00038274153,0.00029304548,0.00048701614,0.0010490088,0.0019250088,0.0008837597,0.0011445513,0.006049532],"category_scores_gemma":[0.0006026539,0.0001498337,0.00030916964,0.0013575843,0.00046956004,0.0024925133,0.0010523545,0.00035016175,0.0012975315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007543138,0.00082123035,0.009622385,0.0018833698,0.00013035008,0.0034932096,0.0033437966,0.06106214,0.062090684,0.1993757,0.047412775,0.61001],"study_design_scores_gemma":[0.00015209118,0.0020692202,0.026096025,0.0009643557,0.00017211915,0.0035119958,0.014520087,0.06774161,0.08407621,0.1309832,0.66951823,0.00019489245],"about_ca_topic_score_codex":0.0013796116,"about_ca_topic_score_gemma":0.0020977925,"teacher_disagreement_score":0.006049532,"about_ca_system_score_codex":0.00072178664,"about_ca_system_score_gemma":0.0005392223,"threshold_uncertainty_score":0.020237744},"labels":[],"label_agreement":null},{"id":"W2997177253","doi":"10.1016/j.ifacol.2019.11.540","title":"Integrating Electric Energy Cost in Lumber Production Planning","year":2019,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Energy Efficiency and Management","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":"Hydro-Québec; Université Laval","funders":"","keywords":"Profitability index; Energy consumption; Context (archaeology); Electricity; Energy planning; Production (economics); Production planning; Process (computing); Energy accounting; Consumption (sociology); Electric potential energy; Energy (signal processing); Environmental economics; Computer science; Engineering; Industrial engineering; Renewable energy; Business; Economics; Electrical engineering","score_opus":0.010058790741257583,"score_gpt":0.244384143539877,"score_spread":0.2343253527986194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997177253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3825911,0.0007689263,0.5713111,0.0009989877,0.000119100514,0.0003613289,0.001736392,0.00039276827,0.041720252],"genre_scores_gemma":[0.96065515,0.00030895727,0.032376543,0.000042225853,0.000010677782,0.00011184122,0.00042849046,0.000053885084,0.006012236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995364,0.00014012233,0.000017390037,0.00007042696,0.00016884255,0.00006678315],"domain_scores_gemma":[0.99923694,0.0005105245,0.00006835323,0.000034868255,0.00011949835,0.000029792902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006643447,0.00078901666,0.0005977084,0.0008748119,0.000318244,0.0017936049,0.00075394276,0.0006684969,0.002917331],"category_scores_gemma":[0.0019274298,0.00056005834,0.00053539715,0.0013509607,0.00032834723,0.0016761706,0.00043507759,0.0008294169,0.00026935124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020184432,0.000023103858,0.0014401928,0.000016320228,0.000008163294,0.00003181489,0.000012780035,0.98630595,0.00017496807,0.0018931672,0.00019603624,0.009877291],"study_design_scores_gemma":[0.0000047088583,0.000043886175,0.0015760906,0.0000130933295,0.000010911711,0.000019979743,0.0000572903,0.993565,0.00050095835,0.002996363,0.0011959824,0.00001564098],"about_ca_topic_score_codex":0.023280585,"about_ca_topic_score_gemma":0.03303497,"teacher_disagreement_score":0.023280585,"about_ca_system_score_codex":0.001825035,"about_ca_system_score_gemma":0.0015122318,"threshold_uncertainty_score":0.04629016},"labels":[],"label_agreement":null},{"id":"W3005182774","doi":"10.3126/qjmss.v1i2.27443","title":"Industry Willingness to Pay for Adequate Electricity Supply: A Discourse on Sustainable Industrial Development","year":2019,"lang":"en","type":"article","venue":"Quest Journal of Management and Social Sciences","topic":"Energy Efficiency and Management","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":"Quest University Canada","funders":"","keywords":"Electricity; Environmental economics; Productivity; Willingness to pay; Mains electricity; Business; Scarcity; Prosperity; Context (archaeology); Secondary sector of the economy; Work (physics); Energy management; Economics; Economic growth; Energy (signal processing); Engineering; Economy; Microeconomics","score_opus":0.028123029989425383,"score_gpt":0.2938645106724235,"score_spread":0.2657414806829981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005182774","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":[0.08743698,0.04100715,0.006897886,0.42770267,0.0009679301,0.000048036753,0.00007672775,0.000028137469,0.43583453],"genre_scores_gemma":[0.96174544,0.014405276,0.0012096263,0.012332359,0.00029915522,0.000049704715,0.00002681473,0.000012830328,0.009918912],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99584335,0.0027543707,0.00012895209,0.00036093322,0.0006042799,0.0003082168],"domain_scores_gemma":[0.99289036,0.0059340503,0.00038754827,0.00014413823,0.00044268646,0.0002012023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075029507,0.00034643026,0.0003151288,0.0016075339,0.005068304,0.008156611,0.0012192542,0.0060329246,0.002979729],"category_scores_gemma":[0.0051086955,0.0001839243,0.00026781278,0.0021148308,0.026902515,0.008019904,0.0049442356,0.0052720383,0.00034783644],"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":[0.000006107214,0.000014649245,0.00031290145,0.00015977146,0.0000030431515,0.00021224271,0.040267635,0.00015090662,0.00011195493,0.9471304,0.0038999273,0.007730428],"study_design_scores_gemma":[0.000008410999,0.000041899748,0.001986326,0.0017091794,0.0000082385195,0.00033036692,0.10296929,0.0007823437,0.0004978912,0.42008638,0.47155097,0.000028598168],"about_ca_topic_score_codex":0.0030543169,"about_ca_topic_score_gemma":0.0026954804,"teacher_disagreement_score":0.008156611,"about_ca_system_score_codex":0.006627829,"about_ca_system_score_gemma":0.004906271,"threshold_uncertainty_score":0.04808849},"labels":[],"label_agreement":null},{"id":"W3014818974","doi":"","title":"Effects of Technological Development and Electricity Price Reductions on Adoption of Residential Heat Pumps in Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON POWER SYSTEMS","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":true,"ca_institutions":"Queen's University","funders":"","keywords":"Electricity; Greenhouse gas; Heat pump; Environmental science; Natural gas; Environmental economics; Fossil fuel; Consumption (sociology); Energy consumption; Heating system; Natural resource economics; Waste management; Environmental engineering; Economics; Engineering","score_opus":0.007971521901742057,"score_gpt":0.2004355159321145,"score_spread":0.19246399403037245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014818974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467355,0.00019175593,0.00022579312,0.0003862955,0.0000040054842,0.000027373952,0.0016987385,0.000016062448,0.0027764395],"genre_scores_gemma":[0.9974548,0.00015475569,0.00015038022,0.000027583172,0.0000015402877,0.000008971076,0.00066688104,0.0000030435458,0.0015320164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991418,0.00010279666,0.000033119508,0.000103583145,0.00027311954,0.00034551547],"domain_scores_gemma":[0.996741,0.0009943849,0.0007487758,0.00009513507,0.001070679,0.00034996503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085720856,0.00026936407,0.0002715098,0.00047412855,0.00070696493,0.0011347061,0.000847374,0.00045591308,0.0029950151],"category_scores_gemma":[0.004888903,0.00023279889,0.00062633626,0.0010366298,0.0005736109,0.00046094565,0.0004915016,0.0005319985,0.00015028985],"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":[0.0006914585,0.00026958325,0.8881973,0.000121415236,0.00020370277,0.00037226442,0.001221101,0.07866771,0.0029605667,0.003057413,0.0032407765,0.020996546],"study_design_scores_gemma":[0.000044183034,0.0001500626,0.9537405,0.000018015317,0.000068961046,0.00003228596,0.0017614096,0.0400524,0.00082804845,0.00022507821,0.0030461065,0.00003308648],"about_ca_topic_score_codex":0.988184,"about_ca_topic_score_gemma":0.98834676,"teacher_disagreement_score":0.03378541,"about_ca_system_score_codex":0.03378541,"about_ca_system_score_gemma":0.020709332,"threshold_uncertainty_score":0.24513143},"labels":[],"label_agreement":null},{"id":"W3080982531","doi":"10.1051/meca/2020068","title":"An investigation of cutting parameters effect on sound level, surface roughness, and power consumption during machining of hardened AISI 4140","year":2020,"lang":"en","type":"article","venue":"Mechanics & Industry","topic":"Energy Efficiency and Management","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":"Simon Fraser University","funders":"","keywords":"Machinability; Machining; Energy consumption; Surface roughness; RADIUS; Materials science; Surface finish; Energy (signal processing); Mechanical engineering; Power (physics); Tool wear; Intensity (physics); Process engineering; Environmental science; Metallurgy; Composite material; Engineering; Computer science; Optics; Mathematics; Electrical engineering","score_opus":0.041745520622462624,"score_gpt":0.260682851608562,"score_spread":0.2189373309860994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080982531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972289,0.00023864691,0.0019797832,0.000012396937,0.0000046455807,0.0000067508786,0.00003940407,0.000019131056,0.00047038705],"genre_scores_gemma":[0.99800295,0.00014762726,0.0012356978,0.000005635772,0.0000015459327,0.000003930904,0.000048412563,0.000008285818,0.0005460175],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999819,0.000015629104,0.000009987166,0.000030404937,0.00010094427,0.00002400128],"domain_scores_gemma":[0.9997168,0.00013664662,0.00004482434,0.000021443873,0.00007168465,0.0000085180445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017762127,0.00020352087,0.00024646398,0.00022109805,0.00014521144,0.00019468518,0.00019462097,0.00025988347,0.0006933851],"category_scores_gemma":[0.0004217596,0.00014756313,0.00026842806,0.00026385393,0.00013360269,0.00022451246,0.000083429026,0.00017434191,0.000094032126],"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":[0.0003988042,0.000076373784,0.005728725,0.00021225908,0.000021928416,0.0001578444,0.000148142,0.0034231078,0.9700449,0.000075427364,0.00008548125,0.01962691],"study_design_scores_gemma":[0.000017227632,0.0020406262,0.08633212,0.000009432871,0.000084130574,0.00017444967,0.00031294153,0.023058418,0.886333,0.00008185115,0.0015225778,0.000033271444],"about_ca_topic_score_codex":0.00097067765,"about_ca_topic_score_gemma":0.0017601933,"teacher_disagreement_score":0.00097067765,"about_ca_system_score_codex":0.0001287865,"about_ca_system_score_gemma":0.00008197488,"threshold_uncertainty_score":0.0023195744},"labels":[],"label_agreement":null},{"id":"W3104350001","doi":"10.3886/e111481v1","title":"Data and Code for: Misunderstanding nonlinear prices: Evidence from a natural experiment on residential electricity demand","year":2005,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","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":"University of Calgary","funders":"","keywords":"Electricity; Natural experiment; Natural (archaeology); Code (set theory); Electricity demand; Economics; Natural resource economics; Environmental science; Econometrics; Computer science; Engineering; Electricity generation; Electrical engineering; Power (physics); Geography; Mathematics","score_opus":0.10602874413286657,"score_gpt":0.35078827092645815,"score_spread":0.2447595267935916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104350001","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024316064,0.000030774947,0.00021870718,0.00022519694,0.000020492362,0.00006595199,0.995216,0.0003218189,0.0014694933],"genre_scores_gemma":[0.0047033695,0.000031798285,0.00085425744,0.00008451529,0.000007106893,0.0003255235,0.9914916,0.00007289037,0.002428861],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990345,0.00019965135,0.00010220462,0.00015540441,0.00036276967,0.00014552854],"domain_scores_gemma":[0.99244505,0.0018592085,0.0011576102,0.0020969685,0.0019466442,0.0004944298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018090585,0.0008116888,0.00049532275,0.0019909996,0.00086035294,0.0014355637,0.0018414888,0.0014465386,0.031433508],"category_scores_gemma":[0.009803348,0.00048297495,0.00051494874,0.0043220525,0.0005184114,0.00060303364,0.0011415831,0.0015962336,0.024229392],"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":[0.00011603231,0.00012305229,0.0097902,0.00019182304,0.000024606654,0.00004341533,0.00010362763,0.0009937499,0.0000958536,0.00076001463,0.98334783,0.0044098794],"study_design_scores_gemma":[0.0008763392,0.000074111194,0.102335535,0.00026673276,0.000046711044,0.00011281289,0.00060269044,0.0040040244,0.0011014165,0.0018127218,0.8886707,0.000096203534],"about_ca_topic_score_codex":0.24582471,"about_ca_topic_score_gemma":0.4356586,"teacher_disagreement_score":0.24582471,"about_ca_system_score_codex":0.002221806,"about_ca_system_score_gemma":0.0033981204,"threshold_uncertainty_score":0.48878765},"labels":[],"label_agreement":null},{"id":"W3108303339","doi":"10.1080/1523908x.2020.1832884","title":"Industry perceptions of government interventions: generating an energy efficiency norm","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Policy & Planning","topic":"Energy Efficiency and Management","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":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Antipathy; Norm (philosophy); Psychological intervention; Government (linguistics); Efficient energy use; Public relations; Hospitality industry; Public economics; Economic interventionism; Business; Sustainability; CLARITY; Economics; Marketing; Political science; Politics; Engineering; Psychology; Law; Tourism","score_opus":0.027134132335656445,"score_gpt":0.28372128452921347,"score_spread":0.25658715219355704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108303339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9167575,0.00023656417,0.005452071,0.014132232,0.000055676413,0.00007414518,0.00002458362,0.000027177533,0.063240066],"genre_scores_gemma":[0.9987238,0.00006123746,0.00037154302,0.00056653464,0.000008037756,0.0000151441,0.000009676227,0.0000040774253,0.00023987032],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9546989,0.029157737,0.0017194175,0.0013393731,0.010559292,0.002525272],"domain_scores_gemma":[0.91397053,0.05000987,0.017658181,0.0039466806,0.011458341,0.0029563864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0278683,0.00024240336,0.00029445475,0.0018916783,0.0036755546,0.00866069,0.00085863133,0.0035377787,0.0017552177],"category_scores_gemma":[0.058789928,0.0003137603,0.00031209528,0.0010384391,0.0138215795,0.003935495,0.0054771416,0.0044589657,0.00018708645],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004121586,0.0011083334,0.30551657,0.00055808126,0.00015181793,0.00089840306,0.37826246,0.002396859,0.0065212655,0.215752,0.0051878467,0.08323418],"study_design_scores_gemma":[0.00007465221,0.000791303,0.19642854,0.0006471278,0.00007121028,0.00029689504,0.66328335,0.004567635,0.0030549767,0.06384265,0.06675576,0.00018594202],"about_ca_topic_score_codex":0.0059170565,"about_ca_topic_score_gemma":0.005881002,"teacher_disagreement_score":0.0278683,"about_ca_system_score_codex":0.006288549,"about_ca_system_score_gemma":0.006359616,"threshold_uncertainty_score":0.14738345},"labels":[],"label_agreement":null},{"id":"W3108499433","doi":"10.11575/prism/38281","title":"Examine the feasibility of electrifying a natural gas pipeline system: a case study on Enbridge’s Westcoast pipeline","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"BC Hydro","keywords":"Pipeline (software); Natural gas; Petroleum engineering; Gas pipeline; Marine engineering; Computer science; Engineering; Geology; Environmental science; Mechanical engineering; Waste management","score_opus":0.09520216129077552,"score_gpt":0.3303337156307788,"score_spread":0.23513155434000327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108499433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864791,0.000048921225,0.0023588229,0.0003187723,0.000010536882,0.00020106405,0.00013235376,0.000022568853,0.010427843],"genre_scores_gemma":[0.9929998,0.00012212474,0.0031408106,0.00002703368,0.0000034404065,0.000051964864,0.00007052907,0.00000794644,0.0035763553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992072,0.00035871507,0.000023134191,0.0000691174,0.00018574962,0.00015621664],"domain_scores_gemma":[0.9988668,0.00061739306,0.00007939378,0.00007722198,0.00025950762,0.000099773555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001293904,0.00040990044,0.00022898127,0.0005373542,0.0015490147,0.0013017916,0.00078746636,0.0011820107,0.002876221],"category_scores_gemma":[0.002152949,0.0002228494,0.000384617,0.00077857624,0.00078683626,0.0013180358,0.0007117338,0.00082789257,0.0002088825],"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":[0.0026677616,0.005152613,0.12698336,0.0014586502,0.00029086164,0.03399638,0.0077083893,0.56535476,0.064602226,0.03210258,0.008423471,0.15125895],"study_design_scores_gemma":[0.0009310114,0.0101642,0.1438818,0.00039105734,0.00043463687,0.0036207337,0.08923804,0.5704478,0.1040459,0.01226636,0.06426744,0.00031113255],"about_ca_topic_score_codex":0.056404583,"about_ca_topic_score_gemma":0.11089757,"teacher_disagreement_score":0.9435954,"about_ca_system_score_codex":0.0040194876,"about_ca_system_score_gemma":0.002497848,"threshold_uncertainty_score":0.11215258},"labels":[],"label_agreement":null},{"id":"W3111212162","doi":"10.11575/prism/35873","title":"Adoption Of Iso 50001 Energy Management Systems Standard In The Canadian Industrial Sector","year":2013,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Energy Efficiency and Management","field":"Energy","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":"Business; Risk analysis (engineering); Management system; Operations management; Environmental resource management; Engineering; Environmental science","score_opus":0.013364798822596818,"score_gpt":0.1713993439927812,"score_spread":0.1580345451701844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111212162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9329346,0.0010874583,0.0011018899,0.0055861888,0.000048627353,0.00017615565,0.00053996575,0.000068744164,0.058456402],"genre_scores_gemma":[0.99131244,0.001252694,0.0015571077,0.00042937885,0.0000039106444,0.000015660145,0.0003029235,0.000015908243,0.005109934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9897737,0.0005725254,0.0002739334,0.00050705863,0.0069058924,0.0019669256],"domain_scores_gemma":[0.98787165,0.0008125191,0.0010413668,0.00024796723,0.009074188,0.00095229485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004716612,0.00023413471,0.00023639014,0.001605404,0.0046205223,0.0028060689,0.001287148,0.0005513287,0.0017881748],"category_scores_gemma":[0.011302606,0.00028495528,0.00035501123,0.0036015713,0.0014664528,0.00085329567,0.0013734318,0.0010720372,0.0001641911],"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":[0.00041344832,0.00040953016,0.5740395,0.0008123083,0.00006206408,0.0010403481,0.040911436,0.0053072884,0.011624078,0.026365576,0.018846752,0.32016763],"study_design_scores_gemma":[0.000012880533,0.00014381207,0.90507776,0.00030450462,0.000028436812,0.0001102208,0.036298107,0.0025632826,0.002239312,0.00055753643,0.052568678,0.000095365416],"about_ca_topic_score_codex":0.99329937,"about_ca_topic_score_gemma":0.9955857,"teacher_disagreement_score":0.094141014,"about_ca_system_score_codex":0.094141014,"about_ca_system_score_gemma":0.14317405,"threshold_uncertainty_score":0.6830441},"labels":[],"label_agreement":null},{"id":"W3119828647","doi":"","title":"Development of generic energy efficiency category: An accreditation comparison of different green rating systems for a case study in Canada","year":2017,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Rating system; Accreditation; Business; Environmental economics; Medicine; Economics; Medical education","score_opus":0.0618259843103643,"score_gpt":0.3027653156838564,"score_spread":0.2409393313734921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119828647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9408294,0.0003927409,0.006652688,0.0014387557,0.000057599118,0.00074869685,0.0006736046,0.00019269211,0.049013633],"genre_scores_gemma":[0.98596895,0.00014572285,0.0071707773,0.00011063123,0.0000034565353,0.000090416856,0.00038805022,0.000046445766,0.0060757017],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99226576,0.0013246078,0.00031075723,0.00046272718,0.0042793453,0.0013567625],"domain_scores_gemma":[0.97066844,0.0023886398,0.00083328394,0.00082219316,0.023999002,0.0012883772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008685009,0.00025742137,0.00045037566,0.0032961282,0.005658886,0.00435825,0.0016748443,0.0009085022,0.0023351137],"category_scores_gemma":[0.01754424,0.00028845845,0.0006889002,0.0041508456,0.0017364622,0.0015763583,0.0017243269,0.0011345504,0.00030828253],"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":[0.0008857427,0.0014746288,0.4867787,0.0007556114,0.00012649216,0.0016135689,0.043471567,0.0097644655,0.011410547,0.029159885,0.02322238,0.39133632],"study_design_scores_gemma":[0.00008614031,0.000595529,0.85412616,0.0004593552,0.00011750215,0.0003768293,0.06516073,0.014616011,0.0065174843,0.0014973939,0.05627951,0.00016736792],"about_ca_topic_score_codex":0.9335804,"about_ca_topic_score_gemma":0.9701615,"teacher_disagreement_score":0.0664196,"about_ca_system_score_codex":0.054438993,"about_ca_system_score_gemma":0.07717811,"threshold_uncertainty_score":0.39498436},"labels":[],"label_agreement":null},{"id":"W3122489091","doi":"10.48550/arxiv.1812.09081","title":"Econometric modelling and forecasting of intraday electricity prices","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy Efficiency and Management","field":"Energy","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":"Econometrics; Lasso (programming language); Electricity market; Electricity price forecasting; Benchmark (surveying); Economics; Electricity; Multivariate statistics; Sample (material); Econometric model; Elastic net regularization; Quarter (Canadian coin); Index (typography); Computer science; Statistics; Mathematics; Engineering; Regression; Geography","score_opus":0.058574314825361413,"score_gpt":0.2880907390642105,"score_spread":0.2295164242388491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122489091","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":[0.5811852,0.0020715345,0.4067032,0.0016604549,0.00009943725,0.000021817796,0.0013329755,0.00021421874,0.0067112343],"genre_scores_gemma":[0.9853496,0.00068216294,0.010852052,0.000034507702,0.00006668816,0.00001389358,0.0005267397,0.000018702025,0.0024556578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976856,0.0001050104,0.000013263479,0.000047959893,0.00003877541,0.000026539343],"domain_scores_gemma":[0.9990814,0.000659259,0.00015306327,0.00004543784,0.000045603454,0.000015236717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073982176,0.00033695844,0.0003945329,0.00045860393,0.00011491112,0.0007619464,0.00038458657,0.000620446,0.001276688],"category_scores_gemma":[0.0029182339,0.00019209814,0.00038995632,0.0009071736,0.00031100994,0.00073402567,0.00028423162,0.00068968284,0.00018452945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033183187,0.000024302472,0.0074389176,0.000032618453,0.00006654792,0.00010190288,0.000033295655,0.94724685,0.00053821964,0.027020998,0.0008284539,0.016634658],"study_design_scores_gemma":[0.000002780654,0.0000058471437,0.0022458097,0.000002521393,0.0000062018075,0.000010420987,0.000012186657,0.99116206,0.000083669016,0.006104048,0.0003600693,0.0000043273385],"about_ca_topic_score_codex":0.009147709,"about_ca_topic_score_gemma":0.005384484,"teacher_disagreement_score":0.009147709,"about_ca_system_score_codex":0.0003936341,"about_ca_system_score_gemma":0.0002698211,"threshold_uncertainty_score":0.018188894},"labels":[],"label_agreement":null},{"id":"W3123087476","doi":"","title":"Time-Saving Innovations, Time Allocation, and Energy Use: Evidence from Canadian Households","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy Efficiency and Management","field":"Energy","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":"Time allocation; Production (economics); Time-use survey; Business; Energy (signal processing); Market penetration; Environmental economics; Economics; Natural resource economics; Agricultural economics; Labour economics; Marketing; Microeconomics; Work (physics); Engineering","score_opus":0.03272036687277658,"score_gpt":0.27608972577200946,"score_spread":0.2433693588992329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123087476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645229,0.00392879,0.0005012693,0.0019662315,0.000037036734,0.00006432678,0.018056136,0.00002553806,0.010897673],"genre_scores_gemma":[0.97943497,0.0036475908,0.00030629194,0.00018857038,0.000016250475,0.000027879249,0.008091747,0.00001727882,0.008269453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989498,0.0001356042,0.000058023783,0.0001395781,0.0003559299,0.00036110997],"domain_scores_gemma":[0.9951487,0.0010929323,0.00104702,0.0003435922,0.0017831213,0.0005845941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013378526,0.00038074254,0.0006754118,0.0015983591,0.0025783228,0.0019462401,0.0013484533,0.0006690271,0.008651912],"category_scores_gemma":[0.008030289,0.000344017,0.0007585027,0.011677562,0.00090868404,0.0007885773,0.0010146135,0.0008688602,0.00051532855],"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":[0.0007181046,0.00021866224,0.8935198,0.00043781794,0.00055143645,0.00026779564,0.01051874,0.0039687185,0.00027998126,0.009835713,0.029445019,0.050238177],"study_design_scores_gemma":[0.000039269737,0.00003397926,0.9764266,0.00017164327,0.000152768,0.00003934505,0.007540074,0.0015057456,0.00014365013,0.0005896619,0.013298403,0.00005887945],"about_ca_topic_score_codex":0.99717194,"about_ca_topic_score_gemma":0.9978588,"teacher_disagreement_score":0.028069336,"about_ca_system_score_codex":0.028069336,"about_ca_system_score_gemma":0.022144997,"threshold_uncertainty_score":0.20365822},"labels":[],"label_agreement":null},{"id":"W3124126468","doi":"10.3386/w18533","title":"Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"California Energy Commission; Resources for the Future","keywords":"Nonlinear pricing; Electricity; Economics; Econometrics; Marginal cost; Electricity pricing; Business; Microeconomics; Electricity market; Financial economics; Engineering; Electrical engineering","score_opus":0.36891650278505916,"score_gpt":0.49418201795133704,"score_spread":0.12526551516627787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124126468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98600477,0.00024026142,0.0011269319,0.0018667554,0.000009734095,0.000013742129,0.0003936623,0.000010286844,0.0103338305],"genre_scores_gemma":[0.99878424,0.00018561381,0.00016284292,0.00028732256,0.000011769422,0.0000072112775,0.00016999678,0.0000031740321,0.00038793043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947125,0.00023848336,0.00002707686,0.00010735385,0.00009675166,0.000059191065],"domain_scores_gemma":[0.9922861,0.004840265,0.0014080091,0.0007699553,0.00054505246,0.00015059223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012594908,0.00012252413,0.00025000385,0.00020941116,0.00019130301,0.0009323464,0.0003557159,0.00087122945,0.0042837416],"category_scores_gemma":[0.011379109,0.00021201692,0.00026423257,0.00056368584,0.00069239753,0.001214907,0.00050074974,0.0007731962,0.0005265172],"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":[0.001356893,0.0005194228,0.9231582,0.00017405038,0.00022456361,0.00019834629,0.0023664136,0.0024015838,0.0020422703,0.011420209,0.0042892555,0.051848803],"study_design_scores_gemma":[0.00009208285,0.00018348753,0.96571255,0.000036111163,0.00012081608,0.00014255707,0.0040605213,0.00932942,0.0008215133,0.015075607,0.004383318,0.000042117612],"about_ca_topic_score_codex":0.0032663948,"about_ca_topic_score_gemma":0.0027926697,"teacher_disagreement_score":0.0042837416,"about_ca_system_score_codex":0.0003003482,"about_ca_system_score_gemma":0.00012262617,"threshold_uncertainty_score":0.014330566},"labels":[],"label_agreement":null},{"id":"W3124336881","doi":"","title":"Technical-Economic Cost Modeling as a Technology Management Tool: A Case Study of Membranes for PEM Fuel Cells","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Proton exchange membrane fuel cell; Fuel cells; Membrane; Engineering; Business; Chemistry; Chemical engineering","score_opus":0.00959584837447152,"score_gpt":0.24796119307997666,"score_spread":0.23836534470550513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124336881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9034457,0.0006325237,0.05276971,0.0017895584,0.000047179306,0.000263569,0.0005343081,0.00011273453,0.040404744],"genre_scores_gemma":[0.9876538,0.00020557258,0.009276312,0.000020937248,0.000007458532,0.000055582066,0.00007358541,0.000026388907,0.0026803974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993181,0.0004033463,0.000026376609,0.000039247323,0.0001246868,0.00008819639],"domain_scores_gemma":[0.9965635,0.0028733364,0.00011232758,0.00011538638,0.00024666963,0.00008880607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019010603,0.0008565415,0.0005188272,0.0010690046,0.0011905154,0.0024926008,0.0014894223,0.0026147112,0.0038320504],"category_scores_gemma":[0.004644424,0.0004606823,0.0008736636,0.0014386196,0.0007659296,0.0018571643,0.0007787978,0.0015196956,0.00023349244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001744783,0.00045932538,0.0044611846,0.000121041,0.00003529811,0.0007783208,0.00022741422,0.9542151,0.0014236736,0.021475444,0.00086271105,0.015766088],"study_design_scores_gemma":[0.000032017746,0.00012627579,0.0016284735,0.00002572654,0.000028534205,0.00010154561,0.00054821844,0.9887627,0.00141673,0.0054813586,0.0018187244,0.000029768778],"about_ca_topic_score_codex":0.021822417,"about_ca_topic_score_gemma":0.020303162,"teacher_disagreement_score":0.021822417,"about_ca_system_score_codex":0.00337547,"about_ca_system_score_gemma":0.0018154737,"threshold_uncertainty_score":0.04339081},"labels":[],"label_agreement":null},{"id":"W3125255889","doi":"","title":"Impact Assessment of Time of Use Pricing for Electricity: Evidence from a Natural Experiment in Ontario","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy Efficiency and Management","field":"Energy","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":"Electricity; Economics; Agricultural economics; Consumption (sociology); Electricity demand; Peak load; Demand response; Demand side; Econometrics; Agriculture; Peak demand; Microeconomics; Electricity generation; Power (physics); Engineering; Geography","score_opus":0.06820473374025518,"score_gpt":0.3728852457856029,"score_spread":0.30468051204534774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125255889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290234,0.00015761323,0.0006090752,0.00078914093,0.00002597883,0.00020491853,0.0008012326,0.0000158553,0.004493837],"genre_scores_gemma":[0.995613,0.00019514783,0.00041095144,0.00013428133,0.000018577988,0.00011800225,0.00048911135,0.000010685456,0.003010075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949517,0.0029786143,0.0001485063,0.0004166543,0.00095659145,0.00054795237],"domain_scores_gemma":[0.9610356,0.027745934,0.004489549,0.0020916814,0.0034188158,0.0012184054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005084177,0.0004151553,0.0006319194,0.0003929214,0.0018661764,0.0013925378,0.0014252118,0.0011006308,0.004599187],"category_scores_gemma":[0.025568675,0.00031278454,0.0010174962,0.0011799274,0.003050044,0.0012020154,0.00067719293,0.0011905143,0.0003692454],"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":[0.08636409,0.02994645,0.6822779,0.0015024404,0.0036314689,0.0014530454,0.011718053,0.039589535,0.010269599,0.02416755,0.023694543,0.08538536],"study_design_scores_gemma":[0.0069503156,0.008981518,0.9209096,0.0001254226,0.001884432,0.00010553205,0.0076794727,0.025261601,0.0037406762,0.008000668,0.016179403,0.00018129969],"about_ca_topic_score_codex":0.9101451,"about_ca_topic_score_gemma":0.923442,"teacher_disagreement_score":0.089854896,"about_ca_system_score_codex":0.027259031,"about_ca_system_score_gemma":0.016548645,"threshold_uncertainty_score":0.197779},"labels":[],"label_agreement":null},{"id":"W3125421066","doi":"10.2139/ssrn.2436829","title":"Environmental and Technology Policy Options in the Electricity Sector: Interactions and Outcomes","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electricity; Business; Environmental policy; Environmental economics; Natural resource economics; Public economics; Economics; Engineering","score_opus":0.004173809140084758,"score_gpt":0.22632664459992916,"score_spread":0.2221528354598444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125421066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544405,0.0011168359,0.00030255577,0.008212729,0.000033416538,0.0000361125,0.00040044624,0.000012886235,0.03544445],"genre_scores_gemma":[0.9978759,0.00023779226,0.00004847413,0.00018114365,0.0000139296935,0.000013279591,0.00010024589,0.000004918377,0.0015243463],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950045,0.0025920668,0.00016544363,0.00020579899,0.00046297355,0.0015692558],"domain_scores_gemma":[0.96643114,0.025425984,0.004100518,0.00044346065,0.0012805713,0.0023183594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006222286,0.0003172746,0.00068330404,0.0011763166,0.0014888892,0.009991939,0.00084534124,0.0038517136,0.01651166],"category_scores_gemma":[0.02821294,0.00022169226,0.00077467866,0.0023994548,0.0019831453,0.0063810362,0.0038216526,0.0030317225,0.0007146523],"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":[0.012156883,0.008405491,0.62112796,0.0006450973,0.00090803497,0.0017371669,0.009412756,0.026839687,0.0019322518,0.21959221,0.008907387,0.08833513],"study_design_scores_gemma":[0.00091491785,0.001494182,0.6408995,0.00039666827,0.00064832333,0.00043244805,0.08979336,0.014602082,0.002747228,0.22313732,0.02473144,0.00020257784],"about_ca_topic_score_codex":0.008032713,"about_ca_topic_score_gemma":0.014705209,"teacher_disagreement_score":0.01651166,"about_ca_system_score_codex":0.0027425417,"about_ca_system_score_gemma":0.0026051397,"threshold_uncertainty_score":0.055236995},"labels":[],"label_agreement":null},{"id":"W3125431043","doi":"","title":"Residential Electricity Pricing in Texas’s Competitive Retail Market","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","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":"University of Alberta","funders":"","keywords":"Prepayment of loan; Volatility (finance); Electricity retailing; Business; Market power; Sample (material); Electricity; Economics; Electricity market; Commission; Limit price; Price level; Commerce; Monetary economics; Microeconomics; Financial economics; Finance","score_opus":0.026818436921802285,"score_gpt":0.28379971145987615,"score_spread":0.25698127453807385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125431043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976659,0.000018269897,0.000070205926,0.00018089147,0.0000022702357,0.000005884861,0.00041367515,0.000005431852,0.001637486],"genre_scores_gemma":[0.9980021,0.000022621978,0.00008237337,0.00004754982,0.0000102750955,0.0000057187995,0.00080077915,0.0000033672093,0.0010253077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996786,0.000088109475,0.000010462556,0.00006528698,0.000056215664,0.00010125877],"domain_scores_gemma":[0.9981686,0.00055321876,0.0006145413,0.00010940468,0.0002728363,0.00028138998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051824294,0.00013735202,0.00018288448,0.0005514564,0.0006019208,0.0013917065,0.0004820252,0.00041083584,0.004761647],"category_scores_gemma":[0.0016120087,0.00015783112,0.00016613983,0.0012926015,0.00037022404,0.0008472359,0.0005703828,0.0006893888,0.00067595206],"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":[0.0008047836,0.0011973649,0.9442328,0.000029319779,0.000079971076,0.0009311154,0.0016523998,0.010838403,0.0006225639,0.006040153,0.021636706,0.01193437],"study_design_scores_gemma":[0.000061815816,0.00019567058,0.94578993,0.000013264358,0.00003043266,0.00021380189,0.004795135,0.04209632,0.00047236934,0.0010345201,0.005266174,0.000030603092],"about_ca_topic_score_codex":0.049721003,"about_ca_topic_score_gemma":0.06286975,"teacher_disagreement_score":0.049721003,"about_ca_system_score_codex":0.0013696437,"about_ca_system_score_gemma":0.00050478394,"threshold_uncertainty_score":0.098863184},"labels":[],"label_agreement":null},{"id":"W3130664092","doi":"10.1596/1813-9450-9093","title":"Lights Off, Lights On : The Effects Of Electricity Shortages On Small Firms","year":2019,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Energy Efficiency and Management","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 British Columbia","funders":"Ewing Marion Kauffman Foundation; United States Agency for International Development; Brown University; National Science Foundation","keywords":"Economic shortage; Electricity; Business; Natural resource economics; Economics; Engineering; Electrical engineering","score_opus":0.009801858833612686,"score_gpt":0.2009774798066197,"score_spread":0.19117562097300703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130664092","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8777025,0.021339128,0.0010927469,0.014374994,0.00020204786,0.00004149532,0.0065184473,0.000059793394,0.078668945],"genre_scores_gemma":[0.9804432,0.0076666144,0.00007526908,0.00041970194,0.00009644734,0.000008921617,0.00079489115,0.000007750592,0.010487213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998387,0.00005777137,0.000005114471,0.000016079981,0.00004031711,0.00004199395],"domain_scores_gemma":[0.9967188,0.0023051584,0.000600688,0.000047643636,0.00014517558,0.00018247063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037176162,0.00017014395,0.00015516083,0.00051417405,0.00020745698,0.0007588403,0.00022052939,0.00023375596,0.005580116],"category_scores_gemma":[0.002499627,0.000103657425,0.00015724466,0.0012741351,0.00043184138,0.00064014585,0.0004494078,0.00053825026,0.0004472464],"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":[0.00054111256,0.00035426044,0.592636,0.00071733876,0.00019408816,0.0014029631,0.0012383739,0.030714132,0.0010720233,0.010675833,0.09647193,0.26398194],"study_design_scores_gemma":[0.000043681237,0.00023857392,0.9547488,0.00033174586,0.00011626333,0.00011696998,0.002928588,0.0040330677,0.0006677591,0.009453508,0.027298292,0.000022819844],"about_ca_topic_score_codex":0.03718597,"about_ca_topic_score_gemma":0.073138416,"teacher_disagreement_score":0.03718597,"about_ca_system_score_codex":0.00068833446,"about_ca_system_score_gemma":0.00062585826,"threshold_uncertainty_score":0.073939025},"labels":[],"label_agreement":null},{"id":"W3135451315","doi":"10.1002/cjce.24105","title":"Real‐time dynamic energy efficiency evaluation and analysis of industrial processes based on multi‐objective state transition algorithm with reference vector","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Efficient energy use; Computer science; Process (computing); Statistic; Key (lock); Energy consumption; Mathematical optimization; Reliability engineering; Algorithm; Data mining; Engineering; Mathematics; Statistics","score_opus":0.010519978965247524,"score_gpt":0.21093024572791,"score_spread":0.20041026676266246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135451315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06729824,0.00018695559,0.930291,0.00007640674,0.000026501757,0.00006588576,0.000022096048,0.0004099096,0.0016230007],"genre_scores_gemma":[0.9135795,0.00009704258,0.08516682,0.000020718326,0.000008246007,0.0001196587,0.00006316254,0.000025320478,0.00091943936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999278,0.00025251452,0.00005483408,0.00014467897,0.0002165793,0.000053471573],"domain_scores_gemma":[0.9992574,0.0003541833,0.00009575748,0.000039390423,0.0002320194,0.00002124024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808097,0.00084087654,0.00078532833,0.0010781083,0.00043809172,0.0011029661,0.0005221116,0.0005302489,0.0008302523],"category_scores_gemma":[0.001981999,0.00027716233,0.00072048814,0.0008343911,0.00041834777,0.0007459956,0.00055198127,0.0005332042,0.00013176867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001535937,0.00011058816,0.0019405995,0.00010311715,0.000058217312,0.0000367692,0.000068131776,0.8985441,0.0064377184,0.002423206,0.00030399478,0.08982002],"study_design_scores_gemma":[0.0000027321912,0.000025466348,0.00020597481,0.0000016525336,0.0000037677064,0.0000025245995,0.0000032169937,0.99901927,0.00053587736,0.00014977485,0.00004622094,0.0000035199926],"about_ca_topic_score_codex":0.0058000735,"about_ca_topic_score_gemma":0.0031422998,"teacher_disagreement_score":0.0058000735,"about_ca_system_score_codex":0.0007783722,"about_ca_system_score_gemma":0.00069819205,"threshold_uncertainty_score":0.011532605},"labels":[],"label_agreement":null},{"id":"W3137263534","doi":"10.5383/juspn.15.01.004","title":"Contribution to Multi-Energy Flow Management for Building Energy Hub","year":2021,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Renewable energy; Fossil fuel; Environmental science; Global warming; Natural resource economics; Energy development; Primary energy; Renewable fuels; Environmental impact of the energy industry; Climate change mitigation; Environmental engineering; Environmental protection; Waste management; Climate change; Energy policy; Engineering; Ecology; Economics","score_opus":0.012728543210754784,"score_gpt":0.24628148188917817,"score_spread":0.2335529386784234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137263534","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016325036,0.0010151787,0.96526515,0.00072448363,0.00033812053,0.000089939385,0.0002448278,0.00084485766,0.015152348],"genre_scores_gemma":[0.8344598,0.0013138094,0.14995864,0.00018161848,0.0002869384,0.0001212123,0.00047070842,0.00016834265,0.013038911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997588,0.000057253834,0.000013827919,0.00006382451,0.00007111167,0.000035138433],"domain_scores_gemma":[0.999726,0.00006733525,0.000027491962,0.000050952323,0.00008821026,0.000040011633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041940657,0.00085050374,0.000690786,0.0005262092,0.00062900584,0.0015802741,0.0013015282,0.00078629283,0.007278131],"category_scores_gemma":[0.00091350364,0.00027309475,0.00090679765,0.00052780757,0.00028684916,0.0017297938,0.0013022653,0.00089631137,0.0010955407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069463065,0.0001624884,0.0015304962,0.00014675768,0.00006258216,0.000116874944,0.00006067268,0.83909047,0.003928865,0.028522432,0.0037621364,0.12254679],"study_design_scores_gemma":[0.000002652297,0.000016103966,0.00017984686,0.000007930502,0.000008637128,0.000012809983,0.000014639047,0.99092406,0.0003778696,0.0054636514,0.0029859329,0.000005940957],"about_ca_topic_score_codex":0.0059585744,"about_ca_topic_score_gemma":0.0054655513,"teacher_disagreement_score":0.007278131,"about_ca_system_score_codex":0.0006619053,"about_ca_system_score_gemma":0.00092532183,"threshold_uncertainty_score":0.024347842},"labels":[],"label_agreement":null},{"id":"W3138535208","doi":"10.2139/ssrn.3534843","title":"Impact of External Assistance Programs on Supply Chain Energy Efficiency: A Behavioral Investigation","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Supply chain; Efficient energy use; Business; Energy (signal processing); Environmental economics; Industrial organization; Economics; Engineering; Marketing; Electrical engineering; Physics","score_opus":0.0153700247176613,"score_gpt":0.257583021079798,"score_spread":0.24221299636213672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138535208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99871564,0.000011173754,0.000053697328,0.00011839099,0.0000035594658,0.000029724815,0.000026137835,0.0000034445643,0.0010381372],"genre_scores_gemma":[0.998884,0.000027575792,0.00016224451,0.000079834215,0.000005231591,0.000065106186,0.00004529087,0.0000026275075,0.00072807074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974559,0.0014072653,0.00016066684,0.00021839085,0.00029341437,0.00046433732],"domain_scores_gemma":[0.9562675,0.03006956,0.0066982093,0.0017865596,0.002068211,0.0031100307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044184206,0.0003236481,0.00032875943,0.00067040126,0.0009740522,0.0010591247,0.00065233203,0.0011045592,0.006176103],"category_scores_gemma":[0.023558028,0.00038729425,0.00046453907,0.0005369894,0.0010706556,0.0014651533,0.0009287644,0.0017662974,0.00043973373],"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":[0.00704246,0.10457894,0.8048962,0.00030058832,0.00055922644,0.00041822536,0.01263738,0.0049222163,0.0038528838,0.0023085347,0.0012312595,0.05725217],"study_design_scores_gemma":[0.00045244917,0.019432673,0.9429794,0.00010564321,0.00024478714,0.00012437074,0.0254974,0.005603151,0.0020003978,0.0010418728,0.0024584166,0.000059397902],"about_ca_topic_score_codex":0.0040959613,"about_ca_topic_score_gemma":0.0055552856,"teacher_disagreement_score":0.006176103,"about_ca_system_score_codex":0.0009913273,"about_ca_system_score_gemma":0.0016651081,"threshold_uncertainty_score":0.023367107},"labels":[],"label_agreement":null},{"id":"W3145858539","doi":"10.4337/9780857933690.00017","title":"Economic analysis of feed-in tariffs for generating electricity from renewable energy sources","year":2013,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Renewable energy; Electricity; Economic analysis; Feed-in tariff; Natural resource economics; Environmental economics; Electricity retailing; Electricity generation; Economics; Environmental science; Business; Electricity market; Agricultural economics; Energy policy; Power (physics); Engineering; Electrical engineering","score_opus":0.0076448754960502276,"score_gpt":0.20702708178211227,"score_spread":0.19938220628606204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145858539","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":[0.347533,0.004030034,0.07995767,0.0044356002,0.00051925983,0.00034754883,0.004986647,0.00014173982,0.55804837],"genre_scores_gemma":[0.91498935,0.0019223182,0.0077098957,0.00014054186,0.00008425184,0.00010918201,0.0011380065,0.000086820066,0.07381973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994808,0.00017791925,0.000012095485,0.000029543464,0.00020723806,0.00009243957],"domain_scores_gemma":[0.99943846,0.00033224278,0.00004688438,0.000030883653,0.000118782365,0.00003269875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012018003,0.00062258856,0.0004737737,0.0013068545,0.00057607394,0.0020204624,0.0008685837,0.00074168685,0.0115294205],"category_scores_gemma":[0.0024878723,0.00039225526,0.0010073589,0.0014471359,0.000593347,0.0013487693,0.00049643306,0.001546186,0.00047932877],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006093055,0.0004419512,0.0035269228,0.0002580808,0.00013805708,0.0003605632,0.000073418465,0.3587044,0.0013474085,0.5654581,0.0244243,0.04465749],"study_design_scores_gemma":[0.00015904594,0.00019540964,0.008391726,0.00016691716,0.0002214543,0.00022084247,0.00064627704,0.74879575,0.0034634443,0.18551637,0.05214514,0.000077709155],"about_ca_topic_score_codex":0.02755393,"about_ca_topic_score_gemma":0.061292276,"teacher_disagreement_score":0.02755393,"about_ca_system_score_codex":0.004867168,"about_ca_system_score_gemma":0.0029828318,"threshold_uncertainty_score":0.05478704},"labels":[],"label_agreement":null},{"id":"W3158439561","doi":"10.20321/nilejbe.v7i17.01","title":"Investigating the Factors Influencing Energy Intensity in the South African Manufacturing Industry","year":2020,"lang":"en","type":"article","venue":"Nile Journal of Business and Economics","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":"Science North","funders":"","keywords":"Foreign direct investment; Energy intensity; Subsidy; Openness to experience; Manufacturing; Business; Value (mathematics); Energy (signal processing); Investment (military); Government (linguistics); Industrial organization; Economics; Efficient energy use; International economics; Market economy; Macroeconomics; Marketing; Engineering","score_opus":0.02905030042942189,"score_gpt":0.19369378952742436,"score_spread":0.16464348909800247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158439561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778867,0.00023454729,0.00014389244,0.00013179402,0.000002460849,0.0000062206627,0.000087943066,0.0000011697155,0.0016033023],"genre_scores_gemma":[0.99901104,0.00031884067,0.00010223789,0.00000921605,0.00000343324,0.0000028872646,0.000090565576,8.229638e-7,0.00046085875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981314,0.00003472856,0.000019813682,0.000021042211,0.00004460001,0.000066702334],"domain_scores_gemma":[0.99917066,0.0002420998,0.00038616406,0.00002683533,0.000113429756,0.000060837738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029120315,0.000120923425,0.00012901032,0.00082470215,0.00028599688,0.0007047488,0.00012019686,0.00016756149,0.0024280087],"category_scores_gemma":[0.0011627715,0.0001053106,0.00030780528,0.0016800922,0.00018085194,0.00044886876,0.00044012585,0.00028608224,0.00018897449],"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":[0.000035181813,0.000045605957,0.9865828,0.000076587705,0.00004553191,0.00028344928,0.00082235766,0.0008150951,0.0012736717,0.0008002794,0.0001414127,0.009078041],"study_design_scores_gemma":[5.391468e-7,0.000018320487,0.9963154,0.000023796,0.000013328833,0.000038752198,0.0019658045,0.00048711416,0.00023782672,0.00008892938,0.000807659,0.0000026587388],"about_ca_topic_score_codex":0.009841843,"about_ca_topic_score_gemma":0.017647117,"teacher_disagreement_score":0.009841843,"about_ca_system_score_codex":0.00047384188,"about_ca_system_score_gemma":0.00064489315,"threshold_uncertainty_score":0.019569099},"labels":[],"label_agreement":null},{"id":"W3185199221","doi":"","title":"Optimization and Reliability of the Power Supply Systems of a Compressor Station","year":2021,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","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":"Digital Payment Technologies (Canada)","funders":"","keywords":"Reliability engineering; Gas compressor; Schematic; Computer science; Reliability (semiconductor); Operating cost; Revenue; Energy supply; Electric power system; Operations research; Mathematical optimization; Power (physics); Engineering; Energy (signal processing); Electrical engineering","score_opus":0.028458204089497858,"score_gpt":0.2790716679513155,"score_spread":0.25061346386181765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185199221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3440773,0.0006543118,0.642302,0.00037046985,0.00003667839,0.00013576876,0.00041014783,0.00037365136,0.011639777],"genre_scores_gemma":[0.96893173,0.0002483082,0.02763407,0.000010126942,0.000008358262,0.00007472271,0.00015404302,0.000030352257,0.002908278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977344,0.000079739366,0.000008785582,0.000041517753,0.00006678905,0.000029751644],"domain_scores_gemma":[0.99973005,0.00014904031,0.00003934874,0.000014197221,0.00005751926,0.000009797936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042045818,0.0005642895,0.00031051546,0.00058605557,0.00030135154,0.00066220463,0.00030468067,0.00045470285,0.0025847221],"category_scores_gemma":[0.0013781164,0.0002590303,0.00046120497,0.0004782332,0.00026909867,0.00042623124,0.00029265098,0.00034424372,0.00027252125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047550977,0.000018611518,0.0012823547,0.00006697473,0.000024095041,0.000035773577,0.000020611938,0.9730689,0.0036807887,0.0028651718,0.00030080698,0.0185883],"study_design_scores_gemma":[0.0000085126385,0.0000766995,0.0014698082,0.000007474202,0.000020436615,0.000018617317,0.000020804287,0.9930294,0.0025543384,0.002051187,0.0007372965,0.000005259621],"about_ca_topic_score_codex":0.0058802045,"about_ca_topic_score_gemma":0.0043085404,"teacher_disagreement_score":0.0058802045,"about_ca_system_score_codex":0.00087811484,"about_ca_system_score_gemma":0.00081609003,"threshold_uncertainty_score":0.0116919875},"labels":[],"label_agreement":null},{"id":"W3194893653","doi":"","title":"Technical Progress Report First Quarter 2012ARRA: Energy Code Compliance and Effectiveness Measurement","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Quarter (Canadian coin); Computer science; Set (abstract data type); Programming language; History","score_opus":0.037596924862329476,"score_gpt":0.2724191403348751,"score_spread":0.23482221547254561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194893653","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":[0.091069795,0.000934768,0.111714,0.011015399,0.0046739895,0.008703532,0.20566778,0.011644204,0.5545765],"genre_scores_gemma":[0.19969748,0.0010431445,0.13051857,0.0014858317,0.00077384076,0.009394373,0.2507123,0.003375821,0.40299854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97368544,0.0058446755,0.0013779727,0.0014699566,0.015930662,0.0016911757],"domain_scores_gemma":[0.9158061,0.009573176,0.0024227663,0.009018244,0.061361454,0.0018182907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019527929,0.0009503165,0.001006999,0.005170595,0.002197916,0.004316026,0.0017610515,0.0017352179,0.045257337],"category_scores_gemma":[0.043211754,0.00061076024,0.0009669924,0.004137727,0.00065130636,0.0029044293,0.0027196156,0.0017021528,0.03271781],"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":[0.0007159125,0.0021218322,0.0318028,0.00077075564,0.000091425114,0.000098303106,0.0010220741,0.002612867,0.009174277,0.014256798,0.63727164,0.30006137],"study_design_scores_gemma":[0.00024381054,0.0014242292,0.1524296,0.0005498591,0.00012311514,0.00019652178,0.0020032846,0.012705263,0.058977965,0.006000216,0.7651236,0.0002226064],"about_ca_topic_score_codex":0.03176742,"about_ca_topic_score_gemma":0.029959906,"teacher_disagreement_score":0.045257337,"about_ca_system_score_codex":0.003612996,"about_ca_system_score_gemma":0.0113839265,"threshold_uncertainty_score":0.15140086},"labels":[],"label_agreement":null},{"id":"W3198652782","doi":"10.32920/ryerson.14663091.v1","title":"The economical benefits of conducting an ASHRAE Level II energy audit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"ASHRAE 90.1; Audit; Efficient energy use; Benchmarking; Energy conservation; Business; Environmental economics; Accounting; Engineering; Economics; Geography","score_opus":0.09437869527228668,"score_gpt":0.2699284205826579,"score_spread":0.17554972531037125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198652782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.736113,0.0010060995,0.023652392,0.023874877,0.00085016276,0.0024091266,0.0021729553,0.0011124013,0.20880893],"genre_scores_gemma":[0.96286005,0.00046519647,0.01437139,0.00084553234,0.00012023966,0.00019309396,0.000668196,0.000049370876,0.02042676],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.982756,0.0054733925,0.0009995976,0.0004737827,0.008486449,0.001810747],"domain_scores_gemma":[0.9308661,0.01966422,0.01169675,0.00965241,0.022720579,0.0053998563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008313577,0.00047380757,0.0003573065,0.0016323086,0.0016157888,0.003771434,0.00068011635,0.0011445284,0.009597769],"category_scores_gemma":[0.035240125,0.0003766984,0.00066314003,0.0013782032,0.000867647,0.001827509,0.0025554541,0.0014564992,0.0020972737],"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":[0.002547204,0.0019092786,0.21654513,0.0008271186,0.00015603025,0.0029702103,0.002473652,0.026562633,0.015625173,0.017146284,0.054692175,0.6585451],"study_design_scores_gemma":[0.00025250076,0.005487263,0.7930741,0.00089315826,0.00023565667,0.0038766018,0.015427227,0.016410463,0.014199336,0.0092047155,0.1404469,0.00049194944],"about_ca_topic_score_codex":0.017584017,"about_ca_topic_score_gemma":0.03178962,"teacher_disagreement_score":0.017584017,"about_ca_system_score_codex":0.004705198,"about_ca_system_score_gemma":0.009585099,"threshold_uncertainty_score":0.04396695},"labels":[],"label_agreement":null},{"id":"W3203300464","doi":"","title":"Demand-side management from a sustainable development perspective : experience from Quebec (Canada) and India","year":2003,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Energy Efficiency and Management","field":"Energy","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":"Hydroelectricity; Business; Government (linguistics); Developing country; Sustainable development; Scope (computer science); Efficient energy use; Energy policy; Economics; Economic growth; Natural resource economics; Renewable energy; Engineering; Political science","score_opus":0.006121456470616942,"score_gpt":0.20320958014261564,"score_spread":0.1970881236719987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203300464","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":[0.41061404,0.02556887,0.0014847107,0.031972803,0.00060325814,0.00035214188,0.001645445,0.00023121334,0.5275276],"genre_scores_gemma":[0.63500696,0.028287359,0.002723616,0.0049925935,0.00004356728,0.00011926709,0.0013629027,0.00017146248,0.32729223],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99846125,0.0001941872,0.000030139829,0.00008720833,0.00066833035,0.0005588862],"domain_scores_gemma":[0.9984717,0.00021835697,0.000040508054,0.000024731491,0.00075077574,0.00049396144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008946292,0.0004731671,0.0003146224,0.0008527369,0.012294994,0.0048175696,0.001594921,0.0012187265,0.007853199],"category_scores_gemma":[0.0013424634,0.0002805328,0.0002809418,0.004599984,0.002085337,0.0012172253,0.001516776,0.0013929848,0.0007822929],"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":[0.00021002236,0.0010380658,0.029216353,0.0016372922,0.00006421596,0.0074328952,0.14052524,0.0031092872,0.0039199884,0.060596988,0.32633585,0.42591393],"study_design_scores_gemma":[0.000030748266,0.00013417618,0.029579235,0.00039323358,0.000027004802,0.00075919984,0.12593633,0.0007951105,0.0011141247,0.0006806533,0.840464,0.00008627168],"about_ca_topic_score_codex":0.991772,"about_ca_topic_score_gemma":0.9970445,"teacher_disagreement_score":0.07270956,"about_ca_system_score_codex":0.07270956,"about_ca_system_score_gemma":0.091003045,"threshold_uncertainty_score":0.52754724},"labels":[],"label_agreement":null},{"id":"W3207319430","doi":"10.5430/ijfr.v12n5p180","title":"Net-Zero Emissions With Renewable Energy Certificates: A Public Policy for a Massachusetts Municipal Light Plant","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Emissions trading; Business; Environmental economics; Greenhouse gas; Climate change mitigation; Feed-in tariff; Energy policy; Economics; Finance; Natural resource economics; Engineering","score_opus":0.08004914991879714,"score_gpt":0.35798778125019404,"score_spread":0.2779386313313969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207319430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6644508,0.0014917556,0.0017385563,0.23243406,0.00035180693,0.00028018124,0.00023369267,0.0000935778,0.09892548],"genre_scores_gemma":[0.9214869,0.0009219566,0.001301286,0.015348749,0.00024310424,0.00014276282,0.00009435416,0.00001592389,0.06044493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978277,0.0005198828,0.000070557784,0.00019171729,0.0006430394,0.0007470671],"domain_scores_gemma":[0.99681735,0.001689465,0.00043622387,0.00008184594,0.0004360646,0.00053894724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00365949,0.0002450174,0.00017583693,0.0005279613,0.0097298995,0.006215767,0.0016102347,0.008792887,0.0074091484],"category_scores_gemma":[0.0072394433,0.00036302017,0.00041826547,0.00063399674,0.0022615562,0.002952665,0.0028088388,0.00427753,0.00050332333],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075644755,0.0021149078,0.060738422,0.0006945645,0.00009520567,0.038367383,0.033736367,0.011515137,0.022938512,0.612133,0.13823101,0.07867903],"study_design_scores_gemma":[0.00050917803,0.0017214654,0.13226837,0.0005452773,0.00019244594,0.0015258881,0.08245539,0.013119162,0.010806714,0.034273837,0.7222646,0.00031766546],"about_ca_topic_score_codex":0.19581799,"about_ca_topic_score_gemma":0.4153813,"teacher_disagreement_score":0.19581799,"about_ca_system_score_codex":0.01902491,"about_ca_system_score_gemma":0.025104104,"threshold_uncertainty_score":0.38935643},"labels":[],"label_agreement":null},{"id":"W3208830336","doi":"10.32920/ryerson.14649009.v1","title":"Analysis of natural gas consumption and energy saving measures for powder coating and food processing companies in the Greater Toronto Area (GTA)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficiency and Management","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":"Toronto Metropolitan University","funders":"","keywords":"Energy consumption; Energy intensity; Natural gas; Environmental science; Efficient energy use; Energy balance; Consumption (sociology); Waste management; Process engineering; Engineering","score_opus":0.03746698659533035,"score_gpt":0.265664556115618,"score_spread":0.22819756952028766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208830336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771047,0.000045292956,0.00009145651,0.0000134153615,4.3380214e-7,0.0000071465806,0.0012717966,0.0000053416693,0.0008545441],"genre_scores_gemma":[0.9966954,0.00005366486,0.0001555211,0.0000031047657,5.973607e-7,0.0000056663253,0.0013205414,0.0000021208696,0.0017634844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987555,0.00001602763,0.000005504761,0.000022695007,0.0000440742,0.00003615787],"domain_scores_gemma":[0.999754,0.00004868676,0.0000619446,0.000010212086,0.00008877776,0.000036325728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011309334,0.00016845443,0.00008250047,0.0008053696,0.00024868018,0.00028505118,0.00020915453,0.00012292845,0.0015617678],"category_scores_gemma":[0.0003284186,0.000086119406,0.00020198438,0.0015516061,0.0001374453,0.00019515038,0.00018977458,0.00009498026,0.00015332493],"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":[0.00050620723,0.00009559349,0.9520203,0.0001827895,0.00008129403,0.00041100662,0.0015962796,0.0069849007,0.013080469,0.00039358155,0.0015196801,0.023127992],"study_design_scores_gemma":[0.0000016665975,0.00004391798,0.9963971,0.0000035590951,0.000007816748,0.000024916575,0.0009020025,0.0010688198,0.0009945766,0.000007884881,0.0005444835,0.000003322292],"about_ca_topic_score_codex":0.53650695,"about_ca_topic_score_gemma":0.7672478,"teacher_disagreement_score":0.46349305,"about_ca_system_score_codex":0.0033822944,"about_ca_system_score_gemma":0.0010155322,"threshold_uncertainty_score":0.9324453},"labels":[],"label_agreement":null},{"id":"W3208897215","doi":"","title":"Energy Management Information Systems: Achieving Improved Energy Efficiency: A Handbook for Managers, Engineers and Operational Staff","year":2004,"lang":"en","type":"book","venue":"","topic":"Energy Efficiency and Management","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":"","keywords":"Energy consumption; Energy management; Efficient energy use; Energy conservation; Deliverable; Energy accounting; Process (computing); Energy engineering; Energy management system; Environmental economics; Operations management; Computer science; Energy (signal processing); Engineering; Systems engineering; Operating system","score_opus":0.004448183653935418,"score_gpt":0.182972943963872,"score_spread":0.17852476030993658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208897215","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":[0.0011530567,0.076308504,0.087622836,0.019895881,0.008986157,0.00082742603,0.0061133285,0.011568446,0.78752434],"genre_scores_gemma":[0.003212006,0.04451068,0.05351174,0.005387309,0.0015003631,0.0005858028,0.005851607,0.0021171952,0.8833233],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989423,0.00014041737,0.00006700923,0.000083108665,0.00071280316,0.000054295022],"domain_scores_gemma":[0.99854964,0.00051430834,0.00007870962,0.0001227505,0.00061436096,0.000120297445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072859635,0.0018409183,0.00097073644,0.0018799923,0.0012197061,0.005467483,0.0014467797,0.0022711386,0.056512695],"category_scores_gemma":[0.002161245,0.0012173621,0.00051667716,0.003603199,0.0007123955,0.0072479057,0.0015365815,0.0036697465,0.091157466],"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":[0.0000060907178,0.000041729574,0.000051593073,0.0002056895,0.0000040037266,0.000026526448,0.00020507487,0.00034060524,0.0004372924,0.0057593463,0.85378766,0.1391343],"study_design_scores_gemma":[0.000001988206,0.000008822908,0.00021626419,0.00018405303,0.0000014963889,0.00006369802,0.000069192625,0.00018418331,0.000097720935,0.0028199109,0.99634546,0.0000071231902],"about_ca_topic_score_codex":0.0035340488,"about_ca_topic_score_gemma":0.006587915,"teacher_disagreement_score":0.056512695,"about_ca_system_score_codex":0.0015468082,"about_ca_system_score_gemma":0.003136493,"threshold_uncertainty_score":0.18905383},"labels":[],"label_agreement":null},{"id":"W3213441577","doi":"10.11575/prism/36000","title":"Increasing Energy Efficiency In Banff Municipal Operations","year":2017,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Efficient energy use; Computer science; Business; Engineering","score_opus":0.012488944670640444,"score_gpt":0.2121922914595792,"score_spread":0.19970334678893878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213441577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601867,0.00034169163,0.00045345296,0.0006972996,0.000014197209,0.00004368521,0.000106184285,0.000024110659,0.03813277],"genre_scores_gemma":[0.99179757,0.00021880337,0.00071857625,0.00010095038,0.0000060906186,0.000017479702,0.00015072465,0.000010348384,0.0069792876],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988669,0.00022159814,0.000028943588,0.00007390201,0.0002990304,0.00050971],"domain_scores_gemma":[0.9993161,0.00009675509,0.00012154084,0.00004157093,0.00025902092,0.00016508349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005780675,0.00013115379,0.00012798732,0.00094305835,0.0021788212,0.0015946574,0.000524945,0.00041375213,0.0050899806],"category_scores_gemma":[0.0016829459,0.00012992127,0.00011790886,0.0018604269,0.0007854953,0.00072272343,0.0014507758,0.00029608948,0.0004094199],"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":[0.0006476802,0.0009627223,0.47540808,0.0006193197,0.000061358536,0.0028965124,0.019963805,0.0040283776,0.020222796,0.0242804,0.022941025,0.42796794],"study_design_scores_gemma":[0.000014830385,0.00034655564,0.84480095,0.00018260005,0.000017747683,0.00046565145,0.03940356,0.0012643988,0.0035540825,0.0017073113,0.10820253,0.000039813724],"about_ca_topic_score_codex":0.1969478,"about_ca_topic_score_gemma":0.5112738,"teacher_disagreement_score":0.8030522,"about_ca_system_score_codex":0.0061662123,"about_ca_system_score_gemma":0.005031392,"threshold_uncertainty_score":0.39160287},"labels":[],"label_agreement":null},{"id":"W32631476","doi":"10.1017/s2040174420000483","title":"The role of buildings in the energy system : Intersectoral barriers to future developments","year":2013,"lang":"en","type":"article","venue":"Journal of Developmental Origins of Health and Disease","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Energy consumption; Architectural engineering; Energy (signal processing); Consumption (sociology); Business; Engineering; Sociology","score_opus":0.0049879968541517794,"score_gpt":0.22459999933413424,"score_spread":0.21961200247998247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W32631476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6900452,0.010706082,0.007818997,0.10549944,0.00038576033,0.00014488144,0.0001770911,0.00006528064,0.18515724],"genre_scores_gemma":[0.9943427,0.0017352228,0.0010431941,0.00058556005,0.000017488832,0.000028976672,0.000020618518,0.000012018969,0.0022140956],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99130225,0.005815725,0.0002992177,0.00036827056,0.0009183955,0.001296133],"domain_scores_gemma":[0.9920184,0.0043859794,0.00064336724,0.00047379197,0.0010630339,0.0014155193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008240033,0.00018124415,0.00037542553,0.0006800476,0.007669481,0.009395706,0.0016613369,0.0016196534,0.00777477],"category_scores_gemma":[0.009091122,0.00033675868,0.00036049468,0.0014430666,0.009634076,0.0071585584,0.008646041,0.0030072553,0.0005132073],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001626823,0.00029980758,0.056286313,0.0013714891,0.00006400784,0.0018477807,0.41343257,0.0016803733,0.0012329761,0.35158443,0.010292631,0.16174486],"study_design_scores_gemma":[0.000008530996,0.000118992575,0.017931214,0.0016505751,0.000023231485,0.00043969162,0.73292714,0.0006657342,0.00026930225,0.026568748,0.21934903,0.00004769324],"about_ca_topic_score_codex":0.024809636,"about_ca_topic_score_gemma":0.043404855,"teacher_disagreement_score":0.024809636,"about_ca_system_score_codex":0.0070878863,"about_ca_system_score_gemma":0.010894843,"threshold_uncertainty_score":0.05142647},"labels":[],"label_agreement":null},{"id":"W4206288081","doi":"10.5430/ijba.v13n1p30","title":"The Role of the Environmental Sphere in Factors Affecting Performance and in Performance Dimensions in the Utility Sector: A Literature Review","year":2022,"lang":"en","type":"review","venue":"International Journal of Business Administration","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Novelty; Process (computing); Bridge (graph theory); Computer science; Management science; Risk analysis (engineering); Business; Economics; Psychology; Social psychology","score_opus":0.01925994511790596,"score_gpt":0.2678391162566985,"score_spread":0.24857917113879252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206288081","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011109976,0.99717027,0.00016458235,0.00038585873,0.00007443458,0.000010619695,0.000024663876,0.0000028964985,0.0010557487],"genre_scores_gemma":[0.0071981945,0.9922403,0.00021497624,0.000115653456,0.000064357584,0.00000963988,0.000023383916,0.0000016129516,0.00013193864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817646,0.0005782345,0.00034388294,0.00025580643,0.0005315913,0.00011407491],"domain_scores_gemma":[0.991097,0.006556506,0.0008711381,0.00010334259,0.0012422214,0.00012992496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002957443,0.00095863285,0.001774628,0.008044485,0.000634944,0.0033164646,0.0008897214,0.0014794588,0.0022737882],"category_scores_gemma":[0.007062361,0.0005586226,0.0013522608,0.0124741355,0.0008372411,0.0025420866,0.0009266355,0.0010066935,0.0005376227],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001103098,0.00016612149,0.0057742475,0.15114018,0.00062419346,0.00046466125,0.0015246092,0.0006375593,0.0006519992,0.005948084,0.008588196,0.8243698],"study_design_scores_gemma":[0.000029946892,0.00053656095,0.06328037,0.2621557,0.005358346,0.003887834,0.009518356,0.0007015167,0.0017128958,0.005957617,0.64667726,0.00018353655],"about_ca_topic_score_codex":0.008395212,"about_ca_topic_score_gemma":0.015919676,"teacher_disagreement_score":0.008395212,"about_ca_system_score_codex":0.0017857375,"about_ca_system_score_gemma":0.006693558,"threshold_uncertainty_score":0.016692698},"labels":[],"label_agreement":null},{"id":"W4206296786","doi":"10.1109/icjece.2021.3134499","title":"Smart Home Energy Visualizer: A Fusion of Data Analytics and Information Visualization","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Computer science; Energy consumption; Visual analytics; Identification (biology); Energy conservation; Cluster analysis; Analytics; Data visualization; Energy (signal processing); Human–computer interaction; Creative visualization; Energy management; Data science; Data mining; Engineering; Artificial intelligence","score_opus":0.00962641750531926,"score_gpt":0.19750643765982795,"score_spread":0.1878800201545087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206296786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016818495,0.0011838416,0.89468724,0.0011995693,0.00019164191,0.00030152383,0.0032032812,0.07306771,0.009346671],"genre_scores_gemma":[0.16820568,0.0018286437,0.8150208,0.00036679703,0.00020313227,0.00029122492,0.005496869,0.0042537563,0.00433311],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989305,0.00024751222,0.000078360594,0.00018047713,0.00049800496,0.000065157416],"domain_scores_gemma":[0.99804175,0.0006061166,0.00015147787,0.00045621893,0.00056682684,0.00017759245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002231923,0.0012979426,0.0013751698,0.004297504,0.0004285821,0.0038191935,0.0011592855,0.00074721465,0.006746057],"category_scores_gemma":[0.0035850415,0.00055448065,0.0008564718,0.0027550966,0.00044540732,0.0030699028,0.003258857,0.0011308467,0.0018969389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006585961,0.00030332102,0.0065654856,0.0009676503,0.000321645,0.00054501026,0.0018439263,0.017053505,0.044374503,0.017742055,0.053440157,0.8561841],"study_design_scores_gemma":[0.00018403346,0.00037138694,0.011841816,0.00048769364,0.00019306802,0.0011845757,0.001465297,0.6391396,0.0825512,0.053255554,0.20887959,0.00044615043],"about_ca_topic_score_codex":0.0026701842,"about_ca_topic_score_gemma":0.0028260117,"teacher_disagreement_score":0.006746057,"about_ca_system_score_codex":0.00048240277,"about_ca_system_score_gemma":0.00089427736,"threshold_uncertainty_score":0.022567809},"labels":[],"label_agreement":null},{"id":"W4214548959","doi":"10.1109/tste.2019.2925442","title":"IEEE Transactions on Sustainable Energy","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Energy (signal processing); Computer science","score_opus":0.006517135357169525,"score_gpt":0.21128135264221115,"score_spread":0.20476421728504163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214548959","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":[0.0042986283,0.028098641,0.05798961,0.01208855,0.041221827,0.000113021575,0.0008586335,0.00079210784,0.8545389],"genre_scores_gemma":[0.10761409,0.037452765,0.025879811,0.0027842077,0.004135805,0.0001841463,0.002454563,0.0004145442,0.8190801],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909186,0.00013053161,0.00004332394,0.00007545165,0.0005963002,0.00006242004],"domain_scores_gemma":[0.9989145,0.00016287423,0.0000339005,0.00021116404,0.00062466564,0.000052830997],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010620154,0.000949744,0.0009458267,0.0013648195,0.00074497255,0.0025679215,0.0008867854,0.0017691087,0.05802367],"category_scores_gemma":[0.0017412861,0.0003306608,0.0005921216,0.0015642868,0.000827521,0.001517304,0.0014614244,0.0015440977,0.023738056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074811105,0.00013521282,0.00056805246,0.0004095809,0.000053998,0.00011858819,0.00008633457,0.004653669,0.0034062448,0.11476592,0.39653856,0.479189],"study_design_scores_gemma":[0.0000043206933,0.00003324569,0.00044518654,0.000092546186,0.000018585242,0.00009024825,0.000075251715,0.0022878407,0.0013659907,0.031646006,0.9639265,0.000014324015],"about_ca_topic_score_codex":0.002247384,"about_ca_topic_score_gemma":0.004466376,"teacher_disagreement_score":0.9419763,"about_ca_system_score_codex":0.0009160143,"about_ca_system_score_gemma":0.0015273505,"threshold_uncertainty_score":0.19410849},"labels":[],"label_agreement":null},{"id":"W4220842891","doi":"10.1080/23744731.2022.2058262","title":"Classification of sequencing logic faults in multiple zone air handling units: A review and case study","year":2022,"lang":"en","type":"review","venue":"Science and Technology for the Built Environment","topic":"Energy Efficiency and Management","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":"National Research Council Canada; Carleton University","funders":"","keywords":"Setpoint; Variable air volume; Fan coil unit; Engineering; Control logic; Computer science; Reliability engineering; Control engineering; Air conditioning; Computer hardware; Artificial intelligence; Mechanical engineering","score_opus":0.10842171657519876,"score_gpt":0.3172626822371525,"score_spread":0.2088409656619537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220842891","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00094898615,0.9977701,0.00026919573,0.00018138856,0.000091553,0.00002969616,0.00006013602,0.0000071558193,0.0006417727],"genre_scores_gemma":[0.0074925674,0.99116766,0.00071217003,0.00020440023,0.000072242576,0.00003127962,0.00011301549,0.000004148231,0.00020246251],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982363,0.00032455413,0.00067257194,0.0002378659,0.0004537945,0.00007492081],"domain_scores_gemma":[0.9927441,0.0043622763,0.0013091372,0.00013439704,0.0013558599,0.000094279814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022097384,0.000932469,0.0018147902,0.011173978,0.00049039954,0.001315795,0.001473313,0.0014029244,0.0016080484],"category_scores_gemma":[0.006975488,0.00052780105,0.0017836901,0.00934974,0.00078816974,0.0015712416,0.00063373335,0.0007965132,0.0005584107],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015076381,0.00010523565,0.0030472747,0.22702315,0.0006770014,0.0024821847,0.0007595814,0.00078107644,0.0016306547,0.002423545,0.012521619,0.7483978],"study_design_scores_gemma":[0.00004506514,0.0005573207,0.015439283,0.1967933,0.0048434604,0.019827416,0.001976146,0.0006298844,0.0031204359,0.0017585055,0.75484896,0.00016025337],"about_ca_topic_score_codex":0.00558173,"about_ca_topic_score_gemma":0.009318267,"teacher_disagreement_score":0.011173978,"about_ca_system_score_codex":0.0013556915,"about_ca_system_score_gemma":0.0040172054,"threshold_uncertainty_score":0.011686325},"labels":[],"label_agreement":null},{"id":"W4224217145","doi":"10.2118/209330-ms","title":"Framework for the Prediction and Assessment of Corrosion Damages in Amine Systems Using Plant Data, Process Simulation and Data Analysis","year":2022,"lang":"en","type":"article","venue":"SPE Western Regional Meeting","topic":"Energy Efficiency and Management","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":"Corrosion; Computer science; Process (computing); Data mining; Data modeling; Reliability engineering; Engineering; Materials science","score_opus":0.12421704500023946,"score_gpt":0.38527590999112865,"score_spread":0.2610588649908892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224217145","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":[0.018829713,0.00036635462,0.97773576,0.00024760395,0.000026406778,0.00015478751,0.00026781103,0.00038205495,0.0019895697],"genre_scores_gemma":[0.7468992,0.0009714056,0.24717724,0.00009549395,0.00008023962,0.0011578547,0.00095543644,0.000075864365,0.002587204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906987,0.0003771318,0.000071125316,0.00017669516,0.00023585914,0.000069452],"domain_scores_gemma":[0.9988286,0.0006133086,0.00013413992,0.000054850887,0.00032079956,0.00004826565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022666997,0.0014857245,0.0010493641,0.0018578449,0.0004925761,0.0016315838,0.0017122037,0.0016238163,0.0013944708],"category_scores_gemma":[0.0039293296,0.00066929084,0.0015814014,0.00082767324,0.0007663428,0.00084903045,0.0015610579,0.001317141,0.0002789789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014886342,0.00003822139,0.0007937176,0.000055450273,0.000037816866,0.000058196794,0.0000304112,0.98675066,0.0005541536,0.0062908526,0.0001640279,0.005211558],"study_design_scores_gemma":[0.0000019160627,0.000011078375,0.000085553635,0.000005332817,0.0000046739187,0.000005081452,0.0000050716044,0.9984308,0.0000941352,0.0012137593,0.00013926592,0.0000032463436],"about_ca_topic_score_codex":0.021080876,"about_ca_topic_score_gemma":0.01075426,"teacher_disagreement_score":0.021080876,"about_ca_system_score_codex":0.0012605451,"about_ca_system_score_gemma":0.0023853385,"threshold_uncertainty_score":0.04191637},"labels":[],"label_agreement":null},{"id":"W4224258249","doi":"10.3390/su14074334","title":"An Energy Performance Contract Optimization Approach to Meet the Competing Stakeholder Expectations under Uncertainty: A Canadian Case Study","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Energy Efficiency and Management","field":"Energy","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Mitacs","keywords":"Profitability index; Business; Integrated project delivery; Renting; Stakeholder; Environmental economics; Actuarial science; Finance; Economics; Project management; Engineering","score_opus":0.023719670828596495,"score_gpt":0.2576349852776076,"score_spread":0.2339153144490111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224258249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63983434,0.0010529292,0.23785262,0.004114041,0.00007367804,0.0011264519,0.0008255222,0.00018851401,0.11493184],"genre_scores_gemma":[0.9403239,0.0003522428,0.051605947,0.00010267471,0.000012191058,0.00020204407,0.00014811453,0.00003913338,0.007213681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976488,0.0012681164,0.000055327695,0.00017337796,0.00039429349,0.00046017964],"domain_scores_gemma":[0.9971073,0.0019208959,0.00016784137,0.00011267671,0.00045706803,0.00023419163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035322825,0.0008635391,0.0006327363,0.001185936,0.002508405,0.0029509442,0.0016214054,0.0024070928,0.0034133028],"category_scores_gemma":[0.0055965553,0.0005113293,0.0009757055,0.0016987183,0.0016302399,0.0016386791,0.0015624736,0.0016263794,0.00015511336],"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":[0.00009328006,0.00016339342,0.00277589,0.0000609199,0.000030207422,0.0008474678,0.0002472092,0.9475843,0.0004921839,0.03634315,0.0012025383,0.010159518],"study_design_scores_gemma":[0.000041787986,0.00007392212,0.0010607825,0.00002181211,0.000017646727,0.00009381312,0.00056471006,0.98683935,0.00039328483,0.0073614437,0.0035032313,0.000028135375],"about_ca_topic_score_codex":0.34266782,"about_ca_topic_score_gemma":0.3759119,"teacher_disagreement_score":0.6573322,"about_ca_system_score_codex":0.012644502,"about_ca_system_score_gemma":0.013423784,"threshold_uncertainty_score":0.68134654},"labels":[],"label_agreement":null},{"id":"W4226175105","doi":"10.1016/j.enconman.2022.115535","title":"Development of technology-explicit energy saving bandwidths: A case study for the pulp and paper sector","year":2022,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Energy Efficiency and Management","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Efficient energy use; Environmental economics; Electricity; Energy conservation; Secondary sector of the economy; Energy accounting; Energy consumption; Natural resource; Energy engineering; Natural gas; Economics; Engineering; Waste management; Economy","score_opus":0.012320506300245481,"score_gpt":0.2163911552926921,"score_spread":0.20407064899244662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226175105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92138463,0.0003552562,0.012419625,0.000739162,0.000016424427,0.00016042098,0.000078533936,0.00007979037,0.06476607],"genre_scores_gemma":[0.9890126,0.00029878007,0.004406904,0.000030630727,0.0000036028619,0.000017321585,0.000048096837,0.000017060293,0.006164971],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991333,0.00029378533,0.000024090292,0.00005922344,0.00018753533,0.00030206042],"domain_scores_gemma":[0.99801815,0.0010056167,0.00019185449,0.00026137164,0.00020395983,0.00031908564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333664,0.0002693312,0.00014353402,0.0006849676,0.0014344422,0.0026287457,0.00070696225,0.001343772,0.0032977562],"category_scores_gemma":[0.0031459644,0.00016033027,0.00024401404,0.0011957804,0.0009939952,0.002304418,0.0016957434,0.0009922524,0.0005060592],"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":[0.0011802783,0.005306438,0.062139943,0.001137555,0.00008321371,0.024983143,0.02567291,0.06347598,0.04580145,0.30438417,0.006784432,0.4590505],"study_design_scores_gemma":[0.0003326932,0.004492054,0.083639815,0.0011729243,0.000301565,0.011257474,0.17265554,0.12793584,0.10846822,0.06717744,0.42231542,0.0002510919],"about_ca_topic_score_codex":0.004504299,"about_ca_topic_score_gemma":0.005747902,"teacher_disagreement_score":0.004504299,"about_ca_system_score_codex":0.0014982853,"about_ca_system_score_gemma":0.0023067037,"threshold_uncertainty_score":0.011032045},"labels":[],"label_agreement":null},{"id":"W4230110808","doi":"10.1109/tste.2017.2751243","title":"IEEE Transactions on Sustainable Energy","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sustainable energy; Energy (signal processing); Computer science; Environmental economics; Business; Electrical engineering; Renewable energy; Engineering; Economics","score_opus":0.011121727560811215,"score_gpt":0.23691115494080106,"score_spread":0.22578942737998986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230110808","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":[0.005572845,0.02882903,0.06444594,0.013266392,0.03961135,0.00010578497,0.00085486635,0.0007673701,0.84654635],"genre_scores_gemma":[0.1356737,0.037278596,0.027887298,0.002752556,0.0041520284,0.00017513748,0.0024231828,0.00043913128,0.7892184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917406,0.00012323546,0.000041170388,0.0000720188,0.0005293602,0.00006013255],"domain_scores_gemma":[0.9989373,0.00016558512,0.000031946343,0.00021681126,0.00059776334,0.000050568615],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010348428,0.0009097332,0.0009745187,0.0013193218,0.00071879657,0.0025484653,0.000878378,0.001778947,0.05706816],"category_scores_gemma":[0.0017063097,0.00031826555,0.0006082429,0.0015238263,0.00084999815,0.0015174017,0.0014193653,0.0014630257,0.02083591],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008349756,0.00015590995,0.00070312363,0.0004248419,0.00006261126,0.00013480084,0.00009282263,0.005930236,0.0039197383,0.13919851,0.34997433,0.49931958],"study_design_scores_gemma":[0.0000050058075,0.00003914168,0.0005326744,0.00009707598,0.000023334258,0.000112262154,0.00009740835,0.0031564808,0.0017489382,0.04309485,0.9510764,0.000016491187],"about_ca_topic_score_codex":0.0020971089,"about_ca_topic_score_gemma":0.0040895785,"teacher_disagreement_score":0.94293183,"about_ca_system_score_codex":0.00093101035,"about_ca_system_score_gemma":0.0014940347,"threshold_uncertainty_score":0.19091207},"labels":[],"label_agreement":null},{"id":"W4230512288","doi":"10.32920/ryerson.14662113","title":"A multi-country study of household energy saving behaviour","year":2021,"lang":"en","type":"preprint","venue":"","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":true,"ca_institutions":"Toronto Metropolitan University; University of Manitoba","funders":"","keywords":"Probit model; Electricity; Consumption (sociology); Czech; Energy consumption; Multivariate probit model; Economics; Ordered probit; Business; Probit; Energy (signal processing); Energy conservation; Demographic economics; Public economics; Economic growth; Econometrics","score_opus":0.03456743471178608,"score_gpt":0.2591553818960683,"score_spread":0.2245879471842822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230512288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987662,0.00010137254,0.00021091373,0.000026940605,0.0000028909594,0.000009360405,0.0002993315,0.0000010924168,0.00058201863],"genre_scores_gemma":[0.9983663,0.00021869548,0.0003183181,0.000027937813,0.0000035113942,0.0000255488,0.00047518135,0.0000017974686,0.0005626697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925894,0.0004946239,0.000026827516,0.000073001494,0.000036985304,0.00010968442],"domain_scores_gemma":[0.9981817,0.0008725341,0.00046227867,0.00016009567,0.0001257826,0.00019763221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012735837,0.00024746306,0.00034124788,0.0008269957,0.00064211275,0.00084694935,0.00018253362,0.00038002562,0.0017892604],"category_scores_gemma":[0.0016956328,0.00025172814,0.00047942172,0.0017815476,0.00025539743,0.00060432794,0.00068878033,0.0005738479,0.00039108208],"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":[0.00021577458,0.0005314155,0.98608947,0.00005136923,0.00031672348,0.00049696065,0.0027544494,0.0010901681,0.00048237212,0.00045042965,0.0004905822,0.007030367],"study_design_scores_gemma":[0.000015585845,0.00035193338,0.9873828,0.000028020055,0.00007638995,0.0002879835,0.008926748,0.0012570677,0.00022617326,0.00009277919,0.0013386859,0.000015864884],"about_ca_topic_score_codex":0.014247491,"about_ca_topic_score_gemma":0.016783413,"teacher_disagreement_score":0.014247491,"about_ca_system_score_codex":0.00034914305,"about_ca_system_score_gemma":0.00022204916,"threshold_uncertainty_score":0.028329074},"labels":[],"label_agreement":null},{"id":"W4230891054","doi":"10.18356/fcabb6f3-en","title":"Overcoming Barriers to Investing in Energy Efficiency","year":2018,"lang":"en","type":"book","venue":"ECE energy series","topic":"Energy Efficiency and Management","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":"","keywords":"Efficient energy use; Investment (military); European union; Political science; Sustainable development; Economic growth; Business; Geography; Regional science; Economy; International trade; Economics; Engineering","score_opus":0.009439048523544956,"score_gpt":0.21130510812690448,"score_spread":0.20186605960335952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230891054","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":[0.043107636,0.048287004,0.008621624,0.09943194,0.0015285721,0.00007676503,0.00015144449,0.00020622926,0.79858875],"genre_scores_gemma":[0.536362,0.08491711,0.01535333,0.015683876,0.0006342998,0.0002108439,0.00053020637,0.00050199626,0.34580633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950883,0.0015147235,0.0002140792,0.00028077266,0.002305127,0.0005969743],"domain_scores_gemma":[0.99649423,0.0019127268,0.00021900103,0.0004145032,0.0006862916,0.00027326663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050174613,0.00032011603,0.00038029236,0.00063044496,0.0012687921,0.0095858155,0.00090186164,0.0016189327,0.008428514],"category_scores_gemma":[0.009680967,0.00025075607,0.00030555454,0.0021649625,0.0022643814,0.007342632,0.004105133,0.00403612,0.0032151102],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038321585,0.000086487926,0.002243476,0.0008623364,0.000017359342,0.00024524363,0.008353282,0.0013575295,0.0012874166,0.53825873,0.14558415,0.3016657],"study_design_scores_gemma":[0.000003844853,0.000021650689,0.0013011976,0.0009702786,0.000004787388,0.00018003439,0.004487334,0.00026274088,0.0005431995,0.040567078,0.95164716,0.000010706733],"about_ca_topic_score_codex":0.0025772403,"about_ca_topic_score_gemma":0.0043761185,"teacher_disagreement_score":0.0095858155,"about_ca_system_score_codex":0.003342877,"about_ca_system_score_gemma":0.006151505,"threshold_uncertainty_score":0.028196216},"labels":[],"label_agreement":null},{"id":"W4233775692","doi":"10.5383/ijtee.14.01.004","title":"Overview of Energy Savings and Efficiency Strategies at the University of Jordan Hospital","year":2017,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Payback period; Energy consumption; Consumption (sociology); Renewable energy; Photovoltaic system; Net present value; Operations management; Business; Environmental economics; Efficient energy use; Medicine; Engineering; Accounting; Production (economics); Economics; Electrical engineering","score_opus":0.00563867586458718,"score_gpt":0.18231443695326094,"score_spread":0.17667576108867375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233775692","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":[0.31182814,0.19034845,0.01863366,0.089682706,0.001462431,0.001423444,0.0025291473,0.0011757584,0.3829163],"genre_scores_gemma":[0.6821118,0.17394558,0.027535673,0.0072645037,0.0008018861,0.00062647386,0.0023712695,0.00015646321,0.10518639],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989021,0.000364833,0.000065888904,0.00007416861,0.00033380222,0.0002592692],"domain_scores_gemma":[0.9993,0.000077070996,0.00008600088,0.000018017381,0.00027954543,0.00023930862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010575575,0.00036920595,0.00016044146,0.0019439621,0.0007973341,0.0022439384,0.0008524367,0.0006512145,0.012677745],"category_scores_gemma":[0.0008454927,0.0001644587,0.0003746479,0.0018254643,0.00021543096,0.00093065435,0.0011733762,0.00051793654,0.0017214743],"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":[0.00023299303,0.00069266174,0.018315509,0.0025379402,0.00006693076,0.0005214694,0.0007948979,0.0028677536,0.0021546285,0.01556345,0.069641605,0.8866101],"study_design_scores_gemma":[0.00007627246,0.0010493891,0.10124472,0.0031142363,0.000107762025,0.0013105749,0.0071904897,0.0021055676,0.005168554,0.003818159,0.8747426,0.00007168326],"about_ca_topic_score_codex":0.0040911147,"about_ca_topic_score_gemma":0.0068961694,"teacher_disagreement_score":0.012677745,"about_ca_system_score_codex":0.0034672255,"about_ca_system_score_gemma":0.005832317,"threshold_uncertainty_score":0.042411327},"labels":[],"label_agreement":null},{"id":"W4235664713","doi":"10.5383/ijtee.11.01.006","title":"Performance of World Health Organization as a Green Building","year":2016,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"HVAC; Energy consumption; Architectural engineering; Efficient energy use; Consumption (sociology); Greenhouse gas; Electricity; Building code; Environmental economics; Business; Green building; Civil engineering; Engineering; Air conditioning; Economics","score_opus":0.0033549648056943808,"score_gpt":0.18048143153536347,"score_spread":0.17712646672966909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235664713","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":[0.3133217,0.006405443,0.0136160385,0.011269253,0.0013424623,0.0005171852,0.0026022412,0.0008182469,0.6501074],"genre_scores_gemma":[0.9348783,0.0020322206,0.013523612,0.0009624863,0.00012670197,0.00016468288,0.0012182061,0.00013847153,0.046955273],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997577,0.00088176836,0.00005514104,0.00014353193,0.0009345356,0.00040807217],"domain_scores_gemma":[0.9980919,0.00021353485,0.00019477625,0.00015280774,0.0010079436,0.00033911286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003379367,0.00045439973,0.00021159746,0.0010924553,0.00096467626,0.0027814396,0.00045255088,0.00064323214,0.011907551],"category_scores_gemma":[0.0027039202,0.000088442306,0.00026543142,0.0012133654,0.0004899792,0.001111817,0.0015921376,0.00033349684,0.0024312679],"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":[0.00042466444,0.00085812074,0.07526569,0.00079551764,0.000081110185,0.00033172025,0.002167793,0.010323176,0.007288832,0.07825232,0.1503863,0.67382467],"study_design_scores_gemma":[0.00006648231,0.0013908059,0.13246883,0.00060502905,0.000108830216,0.000489704,0.007952498,0.017333701,0.018085847,0.017024888,0.80435944,0.000114012626],"about_ca_topic_score_codex":0.008188103,"about_ca_topic_score_gemma":0.012235367,"teacher_disagreement_score":0.011907551,"about_ca_system_score_codex":0.0016112914,"about_ca_system_score_gemma":0.003127452,"threshold_uncertainty_score":0.039834738},"labels":[],"label_agreement":null},{"id":"W4236410575","doi":"10.15173/esr.v20i3.551","title":"Special Issue Editor comments","year":2014,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.02185281872209622,"score_gpt":0.295489161371291,"score_spread":0.2736363426491948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236410575","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":[0.00007935393,0.0021419001,0.00019539792,0.16682108,0.826152,0.000056922472,0.00019718058,0.00011249335,0.004243694],"genre_scores_gemma":[0.0014988963,0.0037420448,0.00054303923,0.21158546,0.7426571,0.0001624555,0.00027826047,0.00019234254,0.039340355],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926513,0.0011650127,0.0009454015,0.0010535147,0.0035296837,0.0006551894],"domain_scores_gemma":[0.93770176,0.012260653,0.0037039912,0.0019936746,0.0394064,0.0049334066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011098862,0.0017351675,0.0016676957,0.0025733502,0.002424836,0.006844789,0.0029363362,0.01460092,0.06903784],"category_scores_gemma":[0.070244655,0.000808161,0.0020379063,0.0015468104,0.0013398584,0.004267604,0.0023427745,0.011960828,0.048390098],"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":[0.000011734555,0.0000037482255,0.000025478334,0.00006289384,0.0000028908078,0.000033522814,0.0000099078425,0.0000054778634,0.000024270801,0.00013328141,0.9965237,0.0031632446],"study_design_scores_gemma":[0.00002148596,0.000015584987,0.00019714773,0.00018457684,0.000010764808,0.00009982799,0.000047635283,0.000027429433,0.00007577771,0.0003453777,0.9989629,0.000011428609],"about_ca_topic_score_codex":0.0013987742,"about_ca_topic_score_gemma":0.0027607018,"teacher_disagreement_score":0.06903784,"about_ca_system_score_codex":0.0030501555,"about_ca_system_score_gemma":0.0049666073,"threshold_uncertainty_score":0.23095459},"labels":[],"label_agreement":null},{"id":"W4236464763","doi":"10.32920/ryerson.14663091","title":"The economical benefits of conducting an ASHRAE Level II energy audit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"ASHRAE 90.1; Audit; Efficient energy use; Benchmarking; Business; Energy conservation; Environmental economics; Accounting; Engineering; Economics; Geography","score_opus":0.09437869527228668,"score_gpt":0.2699284205826579,"score_spread":0.17554972531037125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236464763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.736113,0.0010060995,0.023652392,0.023874877,0.00085016276,0.0024091266,0.0021729553,0.0011124013,0.20880893],"genre_scores_gemma":[0.96286005,0.00046519647,0.01437139,0.00084553234,0.00012023966,0.00019309396,0.000668196,0.000049370876,0.02042676],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.982756,0.0054733925,0.0009995976,0.0004737827,0.008486449,0.001810747],"domain_scores_gemma":[0.9308661,0.01966422,0.01169675,0.00965241,0.022720579,0.0053998563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008313577,0.00047380757,0.0003573065,0.0016323086,0.0016157888,0.003771434,0.00068011635,0.0011445284,0.009597769],"category_scores_gemma":[0.035240125,0.0003766984,0.00066314003,0.0013782032,0.000867647,0.001827509,0.0025554541,0.0014564992,0.0020972737],"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":[0.002547204,0.0019092786,0.21654513,0.0008271186,0.00015603025,0.0029702103,0.002473652,0.026562633,0.015625173,0.017146284,0.054692175,0.6585451],"study_design_scores_gemma":[0.00025250076,0.005487263,0.7930741,0.00089315826,0.00023565667,0.0038766018,0.015427227,0.016410463,0.014199336,0.0092047155,0.1404469,0.00049194944],"about_ca_topic_score_codex":0.017584017,"about_ca_topic_score_gemma":0.03178962,"teacher_disagreement_score":0.017584017,"about_ca_system_score_codex":0.004705198,"about_ca_system_score_gemma":0.009585099,"threshold_uncertainty_score":0.04396695},"labels":[],"label_agreement":null},{"id":"W4237366877","doi":"10.1109/tste.2019.2921049","title":"IEEE Transactions on Sustainable Energy","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Energy (signal processing); Sustainable energy; Computer science; Environmental economics; Electrical engineering; Engineering; Renewable energy; Economics","score_opus":0.006517135357169525,"score_gpt":0.21128135264221115,"score_spread":0.20476421728504163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237366877","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":[0.0042986283,0.028098641,0.05798961,0.01208855,0.041221827,0.000113021575,0.0008586335,0.00079210784,0.8545389],"genre_scores_gemma":[0.10761409,0.037452765,0.025879811,0.0027842077,0.004135805,0.0001841463,0.002454563,0.0004145442,0.8190801],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909186,0.00013053161,0.00004332394,0.00007545165,0.0005963002,0.00006242004],"domain_scores_gemma":[0.9989145,0.00016287423,0.0000339005,0.00021116404,0.00062466564,0.000052830997],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010620154,0.000949744,0.0009458267,0.0013648195,0.00074497255,0.0025679215,0.0008867854,0.0017691087,0.05802367],"category_scores_gemma":[0.0017412861,0.0003306608,0.0005921216,0.0015642868,0.000827521,0.001517304,0.0014614244,0.0015440977,0.023738056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074811105,0.00013521282,0.00056805246,0.0004095809,0.000053998,0.00011858819,0.00008633457,0.004653669,0.0034062448,0.11476592,0.39653856,0.479189],"study_design_scores_gemma":[0.0000043206933,0.00003324569,0.00044518654,0.000092546186,0.000018585242,0.00009024825,0.000075251715,0.0022878407,0.0013659907,0.031646006,0.9639265,0.000014324015],"about_ca_topic_score_codex":0.002247384,"about_ca_topic_score_gemma":0.004466376,"teacher_disagreement_score":0.9419763,"about_ca_system_score_codex":0.0009160143,"about_ca_system_score_gemma":0.0015273505,"threshold_uncertainty_score":0.19410849},"labels":[],"label_agreement":null},{"id":"W4239822806","doi":"10.32920/ryerson.14648373.v1","title":"Analysis of natural gas consumption and energy saving measures for small and medium-sized industries in the greater Toronto area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficiency and Management","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":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Economizer; Natural gas; Boiler (water heating); Gas consumption; Waste management; Greenhouse gas; Boiler feedwater; Environmental science; Energy consumption; Engineering; Process engineering; Environmental engineering; Mechanical engineering; Electrical engineering","score_opus":0.04224654066927498,"score_gpt":0.25513403468102397,"score_spread":0.212887494011749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239822806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795485,0.00010264183,0.0001036671,0.000011613226,6.621262e-7,0.000011493416,0.0008753142,0.0000063780926,0.0009332638],"genre_scores_gemma":[0.9969326,0.00014001946,0.00020664762,0.0000034472962,8.891533e-7,0.000006550827,0.0007262271,0.0000024627036,0.0019811417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984205,0.000016395448,0.000008339182,0.000023028204,0.00007198926,0.000038191993],"domain_scores_gemma":[0.9997508,0.000038092152,0.00006569793,0.000007522847,0.000100492194,0.00003745741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010476822,0.0002086902,0.000102771126,0.0010922421,0.00040622964,0.00035757213,0.00021602644,0.00011181077,0.0013097305],"category_scores_gemma":[0.00035836475,0.000088594075,0.0002022318,0.0020809646,0.0002598478,0.00014738945,0.000242716,0.000083640516,0.000098764605],"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":[0.00040928076,0.000056359975,0.9473665,0.0003178815,0.000096540665,0.0007869743,0.0021294379,0.009783203,0.013434328,0.0003651623,0.0008297743,0.024424711],"study_design_scores_gemma":[0.0000017337629,0.000041255636,0.99630046,0.0000060561097,0.000012597916,0.000029756786,0.0011235197,0.00095490797,0.00082510576,0.000007775398,0.0006920936,0.0000046404407],"about_ca_topic_score_codex":0.7689114,"about_ca_topic_score_gemma":0.9304306,"teacher_disagreement_score":0.23108858,"about_ca_system_score_codex":0.005915562,"about_ca_system_score_gemma":0.0016452302,"threshold_uncertainty_score":0.464899},"labels":[],"label_agreement":null},{"id":"W4241121217","doi":"10.32920/ryerson.14648118","title":"A Case-Study Comparison Towards Quantifying Energy Saving Strategies in Big-Box Retail Stores","year":2021,"lang":"en","type":"preprint","venue":"","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":true,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"","keywords":"Energy (signal processing); Payback period; Business; Efficient energy use; Environmental economics; Low energy; High energy; Marketing; Operations management; Economics; Production (economics); Engineering; Mathematics; Statistics; Microeconomics","score_opus":0.12757371862077888,"score_gpt":0.3329933607099823,"score_spread":0.20541964208920344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241121217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98938304,0.00015576744,0.0025587834,0.00004717105,0.0000071279933,0.0002841099,0.0004290932,0.000028751962,0.0071062543],"genre_scores_gemma":[0.99009645,0.00014300867,0.006869819,0.000021229396,0.0000031832906,0.000089830806,0.00042884008,0.000010930303,0.0023366783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870384,0.00041576437,0.00004856276,0.00021308014,0.0004207098,0.00019804454],"domain_scores_gemma":[0.9971008,0.0014417229,0.00020257839,0.0003116969,0.00079251477,0.00015075093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013806084,0.00039407282,0.00031562912,0.0016010328,0.00084015774,0.0022465321,0.00087265315,0.0009693884,0.0034053496],"category_scores_gemma":[0.0026733847,0.00022289233,0.00052347424,0.0023262491,0.00092386256,0.0013275032,0.0008155948,0.00038807536,0.0002981616],"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":[0.00457228,0.010714519,0.50278115,0.0029708815,0.0007950074,0.0046708677,0.02004331,0.13219878,0.041705135,0.0515456,0.0059345937,0.22206783],"study_design_scores_gemma":[0.00048659148,0.007224565,0.5954529,0.00083126326,0.0008384847,0.0014440273,0.12238167,0.1866726,0.04452369,0.006922941,0.032944705,0.0002765],"about_ca_topic_score_codex":0.12156132,"about_ca_topic_score_gemma":0.2464668,"teacher_disagreement_score":0.12156132,"about_ca_system_score_codex":0.004193798,"about_ca_system_score_gemma":0.002195422,"threshold_uncertainty_score":0.2417075},"labels":[],"label_agreement":null},{"id":"W4243272647","doi":"10.2172/986683","title":"10.2172/986683","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Political science","score_opus":0.004380728523213829,"score_gpt":0.16575070846989948,"score_spread":0.16136997994668564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243272647","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":[0.00040568417,0.00027756405,0.00032145312,0.00040890207,0.00039686746,0.0000520543,0.0010191771,0.00084870105,0.9962696],"genre_scores_gemma":[0.00085849414,0.00028105482,0.00029806295,0.00038165812,0.00007885591,0.000034202185,0.0010427373,0.000363631,0.9966613],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99958974,0.00002780672,0.000039233142,0.00011686118,0.00015997024,0.00006648575],"domain_scores_gemma":[0.99886775,0.00021110644,0.00005933262,0.00025412862,0.0003193725,0.00028843823],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005936892,0.0012929296,0.0008386153,0.0019639838,0.0012566444,0.0035118123,0.0011351656,0.0021726915,0.9767229],"category_scores_gemma":[0.0015371573,0.00066828215,0.0007009195,0.002347239,0.0008843088,0.003247729,0.0026722217,0.0013485773,0.9818009],"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":[0.0001405008,0.00014368475,0.00046703737,0.0002950916,0.000011442985,0.00015141048,0.00005762843,0.00009690723,0.0015377783,0.0034099347,0.6246798,0.36900878],"study_design_scores_gemma":[0.000020120136,0.000024082552,0.00075325416,0.00011846187,0.0000046653136,0.00016917882,0.0000671119,0.00008044371,0.00022806309,0.0004907825,0.9980344,0.000009486592],"about_ca_topic_score_codex":0.0022647853,"about_ca_topic_score_gemma":0.0022210851,"teacher_disagreement_score":0.023277104,"about_ca_system_score_codex":0.0007172959,"about_ca_system_score_gemma":0.00079769205,"threshold_uncertainty_score":0.033201993},"labels":[],"label_agreement":null},{"id":"W4243391200","doi":"10.1002/div.5306","title":"Smith (A.O.) Corp","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Energy Efficiency and Management","field":"Energy","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":"Horsepower; Electricity; Engineering; Electric motor; Business; Waste management; Electrical engineering; Environmental science; Automotive engineering","score_opus":0.00742668620665351,"score_gpt":0.1991062555623108,"score_spread":0.19167956935565728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243391200","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":[0.0015006188,0.0017750806,0.0008401953,0.0011784965,0.00060231757,0.00003759238,0.0013537297,0.0008553816,0.9918567],"genre_scores_gemma":[0.0042190515,0.00069284684,0.00045084642,0.00017269363,0.000059655944,0.000012348456,0.000625454,0.00007308209,0.9936939],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996026,0.000021898415,0.000017042536,0.00012965618,0.00017977561,0.000049013393],"domain_scores_gemma":[0.9994887,0.000046719626,0.000044099226,0.00007361758,0.00022614241,0.00012071826],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025288426,0.0010863463,0.0003675878,0.0015973008,0.0017261633,0.0027023198,0.0005742386,0.0012145431,0.7364801],"category_scores_gemma":[0.00077955215,0.00033999034,0.0003053038,0.0012748137,0.00040503094,0.0016246267,0.0012727343,0.0010586204,0.56794864],"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":[0.0001191912,0.00008693941,0.0009281377,0.00015922767,0.0000069921734,0.0002654984,0.000102119244,0.00020501978,0.0021382957,0.012478859,0.5273757,0.45613408],"study_design_scores_gemma":[0.000007762366,0.000030905358,0.00076688424,0.00004779873,0.0000033001888,0.00016674378,0.000059105907,0.000096428914,0.00046188914,0.0006479073,0.99770784,0.0000032859373],"about_ca_topic_score_codex":0.0041148406,"about_ca_topic_score_gemma":0.009143769,"teacher_disagreement_score":0.7364801,"about_ca_system_score_codex":0.00095823884,"about_ca_system_score_gemma":0.0010987965,"threshold_uncertainty_score":0.3758791},"labels":[],"label_agreement":null},{"id":"W4243967042","doi":"10.1002/div.1274","title":"Smith (A.O.) Corp","year":2004,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Energy Efficiency and Management","field":"Energy","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":"Horsepower; Electricity; Engineering; Electric motor; Business; Electrical engineering; Environmental science; Waste management; Automotive engineering","score_opus":0.01303107504424716,"score_gpt":0.2226201663138496,"score_spread":0.20958909126960243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243967042","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":[0.0015083217,0.0019206192,0.0008390704,0.0012100851,0.00061114825,0.000036289865,0.0012448586,0.0008238185,0.9918058],"genre_scores_gemma":[0.0041185813,0.00070368627,0.0004317949,0.00017332326,0.00005784761,0.000011633106,0.0005718703,0.00006673533,0.9938646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996345,0.000020261039,0.000015821837,0.00011864195,0.0001631249,0.000047553614],"domain_scores_gemma":[0.99951243,0.00004621766,0.000042330325,0.00006815249,0.00021113874,0.00011978554],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023917161,0.0010756447,0.00036346895,0.0015492139,0.0016674647,0.0025760124,0.0005575797,0.0012054334,0.73461926],"category_scores_gemma":[0.0007353699,0.00033114443,0.00030208332,0.001218694,0.0003932902,0.0015651025,0.0012024941,0.0010264668,0.5652398],"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":[0.00011868553,0.000086479384,0.0009065733,0.0001620249,0.000006997677,0.00025602602,0.00009919971,0.00020311993,0.0021023506,0.011651806,0.50764304,0.47676373],"study_design_scores_gemma":[0.000007737702,0.000032356704,0.0007822344,0.000047998983,0.0000034751984,0.00017308471,0.000059035596,0.000097124794,0.00044856244,0.00065283006,0.99769247,0.0000031900188],"about_ca_topic_score_codex":0.0038455531,"about_ca_topic_score_gemma":0.008715202,"teacher_disagreement_score":0.73461926,"about_ca_system_score_codex":0.00090241263,"about_ca_system_score_gemma":0.001010761,"threshold_uncertainty_score":0.37853336},"labels":[],"label_agreement":null},{"id":"W4244075724","doi":"10.2172/986676","title":"10.2172/986676","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.004358384689323856,"score_gpt":0.16545817789094514,"score_spread":0.16109979320162127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244075724","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":[0.000392608,0.0003087637,0.00034436147,0.0004233699,0.00045665732,0.000053208558,0.0010869146,0.00087532663,0.9960588],"genre_scores_gemma":[0.00087226776,0.00031628477,0.0003234091,0.0003935541,0.000086882406,0.000034279048,0.0011426562,0.00038732015,0.99644345],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995646,0.00003101601,0.000041731113,0.000121444755,0.00017661684,0.00006459036],"domain_scores_gemma":[0.9987638,0.00022636751,0.0000636886,0.0002911013,0.0003445984,0.00031052658],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000623541,0.001258568,0.00083994115,0.0020333487,0.0012577759,0.0037178386,0.0011308339,0.002071631,0.97406965],"category_scores_gemma":[0.0016910294,0.00065045594,0.00069044775,0.0025299077,0.0008745414,0.0032703932,0.0027501502,0.0013266501,0.9798688],"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":[0.00013807723,0.00013235265,0.0004507818,0.00029999245,0.000011659743,0.00014651446,0.00005666235,0.000098891505,0.0015557433,0.0035744167,0.6189359,0.3745989],"study_design_scores_gemma":[0.000017486866,0.000022244472,0.0006745379,0.00010638814,0.000004380401,0.00015382741,0.00006049576,0.000074826065,0.00021441802,0.0004850024,0.9981774,0.000009011775],"about_ca_topic_score_codex":0.0021651408,"about_ca_topic_score_gemma":0.0021320435,"teacher_disagreement_score":0.025930345,"about_ca_system_score_codex":0.0007297599,"about_ca_system_score_gemma":0.00084159034,"threshold_uncertainty_score":0.03698647},"labels":[],"label_agreement":null},{"id":"W4245793701","doi":"10.1109/tste.2019.2898308","title":"IEEE Transactions on Sustainable Energy","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Energy (signal processing); Sustainable energy; Computer science; Environmental economics; Electrical engineering; Renewable energy; Engineering; Economics","score_opus":0.006517135357169525,"score_gpt":0.21128135264221115,"score_spread":0.20476421728504163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245793701","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":[0.0042986283,0.028098641,0.05798961,0.01208855,0.041221827,0.000113021575,0.0008586335,0.00079210784,0.8545389],"genre_scores_gemma":[0.10761409,0.037452765,0.025879811,0.0027842077,0.004135805,0.0001841463,0.002454563,0.0004145442,0.8190801],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909186,0.00013053161,0.00004332394,0.00007545165,0.0005963002,0.00006242004],"domain_scores_gemma":[0.9989145,0.00016287423,0.0000339005,0.00021116404,0.00062466564,0.000052830997],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010620154,0.000949744,0.0009458267,0.0013648195,0.00074497255,0.0025679215,0.0008867854,0.0017691087,0.05802367],"category_scores_gemma":[0.0017412861,0.0003306608,0.0005921216,0.0015642868,0.000827521,0.001517304,0.0014614244,0.0015440977,0.023738056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074811105,0.00013521282,0.00056805246,0.0004095809,0.000053998,0.00011858819,0.00008633457,0.004653669,0.0034062448,0.11476592,0.39653856,0.479189],"study_design_scores_gemma":[0.0000043206933,0.00003324569,0.00044518654,0.000092546186,0.000018585242,0.00009024825,0.000075251715,0.0022878407,0.0013659907,0.031646006,0.9639265,0.000014324015],"about_ca_topic_score_codex":0.002247384,"about_ca_topic_score_gemma":0.004466376,"teacher_disagreement_score":0.9419763,"about_ca_system_score_codex":0.0009160143,"about_ca_system_score_gemma":0.0015273505,"threshold_uncertainty_score":0.19410849},"labels":[],"label_agreement":null},{"id":"W4248134371","doi":"10.32920/ryerson.14645658","title":"Reducing the Carbon Footprint at an Electric Utility Company","year":2021,"lang":"en","type":"preprint","venue":"","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":"Toronto Metropolitan University","funders":"","keywords":"Greenhouse gas; Carbon footprint; Environmental economics; Business; Process (computing); Corporate social responsibility; Natural resource economics; Environmental resource management; Environmental science; Economics; Computer science; Political science; Ecology","score_opus":0.028356297940565944,"score_gpt":0.25602498560285974,"score_spread":0.2276686876622938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248134371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9197413,0.00023859247,0.010146013,0.0011872355,0.000016493572,0.000078938974,0.00006373072,0.000120282864,0.06840759],"genre_scores_gemma":[0.9889149,0.00023420303,0.0042908834,0.000031255524,0.000002941029,0.000009418771,0.000032388594,0.000005730682,0.0064782538],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997242,0.0000906457,0.0000054468082,0.000027703702,0.00009659552,0.000055288932],"domain_scores_gemma":[0.99984705,0.000054496988,0.000012348892,0.000017535418,0.00004996677,0.000018535566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032494072,0.00022490218,0.00009943043,0.00032808873,0.0008348607,0.0010301709,0.0002639503,0.0005580939,0.0032789474],"category_scores_gemma":[0.00044861634,0.00007492485,0.00014573704,0.00042601695,0.00030790654,0.000593917,0.0003610811,0.00035551673,0.00025861696],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008398929,0.0013791191,0.07122492,0.0005894536,0.00011282023,0.004357159,0.0036043439,0.30229506,0.061670437,0.102853835,0.012501639,0.4385713],"study_design_scores_gemma":[0.00029306623,0.0039014784,0.08129098,0.00038168038,0.0004307947,0.0023125152,0.029627074,0.47528338,0.17875646,0.053103045,0.17440237,0.00021717089],"about_ca_topic_score_codex":0.0072316,"about_ca_topic_score_gemma":0.01218843,"teacher_disagreement_score":0.0072316,"about_ca_system_score_codex":0.0011573419,"about_ca_system_score_gemma":0.0012575598,"threshold_uncertainty_score":0.0143790245},"labels":[],"label_agreement":null},{"id":"W4249486971","doi":"10.1787/9789264018419-5-en","title":"Instrument Mixes Addressing Residential Energy Efficiency","year":2007,"lang":"en","type":"book-chapter","venue":"OECD eBooks","topic":"Energy Efficiency and Management","field":"Energy","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":"Efficient energy use; Architectural engineering; Energy (signal processing); Environmental economics; Business; Environmental science; Engineering; Economics; Electrical engineering","score_opus":0.04204502854151095,"score_gpt":0.25478878844994923,"score_spread":0.21274375990843827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249486971","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":[0.008999501,0.042561408,0.03969609,0.0015235734,0.00084279326,0.0003527202,0.0005880493,0.0006246751,0.9048112],"genre_scores_gemma":[0.17106082,0.1491689,0.09484733,0.0024653678,0.0013743847,0.0013034781,0.003811209,0.001340038,0.5746285],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977222,0.00025826893,0.0001116865,0.00014961662,0.0015668657,0.00019133303],"domain_scores_gemma":[0.99910706,0.0004095572,0.000064868575,0.000097793025,0.00028116044,0.000039412153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018100551,0.0010162881,0.0006956185,0.0036302768,0.0010712184,0.004515377,0.00089623703,0.0010491427,0.025064973],"category_scores_gemma":[0.003559519,0.00048584052,0.000564019,0.0067743566,0.00081973633,0.0040851412,0.0020852578,0.002178929,0.0062558353],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003295374,0.00011524914,0.0005152606,0.00075354334,0.00001400247,0.000068707974,0.0006904135,0.0018362296,0.0019151077,0.46499568,0.04313939,0.4859235],"study_design_scores_gemma":[0.000007849859,0.00007575831,0.0019569588,0.0009921822,0.000017802848,0.00025504647,0.0005181942,0.0007116312,0.0026816027,0.049136568,0.9436111,0.000035312525],"about_ca_topic_score_codex":0.0032714223,"about_ca_topic_score_gemma":0.00595369,"teacher_disagreement_score":0.025064973,"about_ca_system_score_codex":0.003535468,"about_ca_system_score_gemma":0.0019258078,"threshold_uncertainty_score":0.08385068},"labels":[],"label_agreement":null},{"id":"W4251122907","doi":"10.1002/div.2028","title":"Smith (A.O.) Corp","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Energy Efficiency and Management","field":"Energy","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":"Horsepower; Electricity; Engineering; Electric motor; Business; Environmental science; Waste management; Electrical engineering; Operations management; Automotive engineering","score_opus":0.012781348274039235,"score_gpt":0.22808199008824098,"score_spread":0.21530064181420175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251122907","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":[0.0014636985,0.0018345432,0.00083076255,0.0011871735,0.0006063799,0.000036106852,0.0012307077,0.0008170315,0.99199367],"genre_scores_gemma":[0.004114047,0.00068565714,0.00042897183,0.00017117627,0.000058426995,0.00001154567,0.0005668034,0.00006768361,0.9938958],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996251,0.000020499812,0.00001618736,0.00012160382,0.00016871479,0.000047834623],"domain_scores_gemma":[0.999508,0.000046116496,0.00004248183,0.00006887943,0.00021473721,0.00011973339],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002436711,0.0010793332,0.00036445854,0.0015581464,0.0016738366,0.0026100818,0.00056253455,0.0012043638,0.7364646],"category_scores_gemma":[0.0007383508,0.00033449664,0.00030304072,0.0012070287,0.00039523255,0.0015589092,0.0012298094,0.0010358297,0.5663326],"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":[0.000118853415,0.0000867185,0.0008871467,0.00015796655,0.0000068553245,0.00025432312,0.000094792726,0.00020438083,0.0020754414,0.011597959,0.50672364,0.477792],"study_design_scores_gemma":[0.000007789441,0.00003218921,0.00076937745,0.000048180093,0.0000034014458,0.00016998094,0.00005769329,0.00010010777,0.0004593921,0.00064749405,0.9977011,0.0000032444632],"about_ca_topic_score_codex":0.0038323945,"about_ca_topic_score_gemma":0.00866508,"teacher_disagreement_score":0.7364646,"about_ca_system_score_codex":0.00091882324,"about_ca_system_score_gemma":0.0010437707,"threshold_uncertainty_score":0.37590122},"labels":[],"label_agreement":null},{"id":"W4251619464","doi":"10.32920/ryerson.14649009","title":"Analysis of natural gas consumption and energy saving measures for powder coating and food processing companies in the Greater Toronto Area (GTA)","year":2021,"lang":"en","type":"preprint","venue":"","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Energy consumption; Energy intensity; Natural gas; Environmental science; Efficient energy use; Energy balance; Consumption (sociology); Waste management; Process engineering; Engineering","score_opus":0.03746698659533035,"score_gpt":0.265664556115618,"score_spread":0.22819756952028766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251619464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771047,0.000045292956,0.00009145651,0.0000134153615,4.3380214e-7,0.0000071465806,0.0012717966,0.0000053416693,0.0008545441],"genre_scores_gemma":[0.9966954,0.00005366486,0.0001555211,0.0000031047657,5.973607e-7,0.0000056663253,0.0013205414,0.0000021208696,0.0017634844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987555,0.00001602763,0.000005504761,0.000022695007,0.0000440742,0.00003615787],"domain_scores_gemma":[0.999754,0.00004868676,0.0000619446,0.000010212086,0.00008877776,0.000036325728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011309334,0.00016845443,0.00008250047,0.0008053696,0.00024868018,0.00028505118,0.00020915453,0.00012292845,0.0015617678],"category_scores_gemma":[0.0003284186,0.000086119406,0.00020198438,0.0015516061,0.0001374453,0.00019515038,0.00018977458,0.00009498026,0.00015332493],"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":[0.00050620723,0.00009559349,0.9520203,0.0001827895,0.00008129403,0.00041100662,0.0015962796,0.0069849007,0.013080469,0.00039358155,0.0015196801,0.023127992],"study_design_scores_gemma":[0.0000016665975,0.00004391798,0.9963971,0.0000035590951,0.000007816748,0.000024916575,0.0009020025,0.0010688198,0.0009945766,0.000007884881,0.0005444835,0.000003322292],"about_ca_topic_score_codex":0.53650695,"about_ca_topic_score_gemma":0.7672478,"teacher_disagreement_score":0.46349305,"about_ca_system_score_codex":0.0033822944,"about_ca_system_score_gemma":0.0010155322,"threshold_uncertainty_score":0.9324453},"labels":[],"label_agreement":null},{"id":"W4251939144","doi":"10.1002/div.3244","title":"Smith (A.O.) Corp","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Energy Efficiency and Management","field":"Energy","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":"Horsepower; Electricity; Engineering; Electric motor; Business; Environmental science; Waste management; Electrical engineering; Automotive engineering","score_opus":0.012781348274039235,"score_gpt":0.22808199008824098,"score_spread":0.21530064181420175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251939144","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":[0.0014636985,0.0018345432,0.00083076255,0.0011871735,0.0006063799,0.000036106852,0.0012307077,0.0008170315,0.99199367],"genre_scores_gemma":[0.004114047,0.00068565714,0.00042897183,0.00017117627,0.000058426995,0.00001154567,0.0005668034,0.00006768361,0.9938958],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996251,0.000020499812,0.00001618736,0.00012160382,0.00016871479,0.000047834623],"domain_scores_gemma":[0.999508,0.000046116496,0.00004248183,0.00006887943,0.00021473721,0.00011973339],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002436711,0.0010793332,0.00036445854,0.0015581464,0.0016738366,0.0026100818,0.00056253455,0.0012043638,0.7364646],"category_scores_gemma":[0.0007383508,0.00033449664,0.00030304072,0.0012070287,0.00039523255,0.0015589092,0.0012298094,0.0010358297,0.5663326],"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":[0.000118853415,0.0000867185,0.0008871467,0.00015796655,0.0000068553245,0.00025432312,0.000094792726,0.00020438083,0.0020754414,0.011597959,0.50672364,0.477792],"study_design_scores_gemma":[0.000007789441,0.00003218921,0.00076937745,0.000048180093,0.0000034014458,0.00016998094,0.00005769329,0.00010010777,0.0004593921,0.00064749405,0.9977011,0.0000032444632],"about_ca_topic_score_codex":0.0038323945,"about_ca_topic_score_gemma":0.00866508,"teacher_disagreement_score":0.7364646,"about_ca_system_score_codex":0.00091882324,"about_ca_system_score_gemma":0.0010437707,"threshold_uncertainty_score":0.37590122},"labels":[],"label_agreement":null},{"id":"W4254153246","doi":"10.32920/ryerson.14648118.v1","title":"A Case-Study Comparison Towards Quantifying Energy Saving Strategies in Big-Box Retail Stores","year":2021,"lang":"en","type":"preprint","venue":"","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":true,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"","keywords":"Energy (signal processing); Payback period; Business; Efficient energy use; High energy; Environmental economics; Low energy; Marketing; Operations management; Economics; Production (economics); Engineering; Mathematics; Statistics; Microeconomics","score_opus":0.12757371862077888,"score_gpt":0.3329933607099823,"score_spread":0.20541964208920344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254153246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98938304,0.00015576744,0.0025587834,0.00004717105,0.0000071279933,0.0002841099,0.0004290932,0.000028751962,0.0071062543],"genre_scores_gemma":[0.99009645,0.00014300867,0.006869819,0.000021229396,0.0000031832906,0.000089830806,0.00042884008,0.000010930303,0.0023366783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870384,0.00041576437,0.00004856276,0.00021308014,0.0004207098,0.00019804454],"domain_scores_gemma":[0.9971008,0.0014417229,0.00020257839,0.0003116969,0.00079251477,0.00015075093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013806084,0.00039407282,0.00031562912,0.0016010328,0.00084015774,0.0022465321,0.00087265315,0.0009693884,0.0034053496],"category_scores_gemma":[0.0026733847,0.00022289233,0.00052347424,0.0023262491,0.00092386256,0.0013275032,0.0008155948,0.00038807536,0.0002981616],"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":[0.00457228,0.010714519,0.50278115,0.0029708815,0.0007950074,0.0046708677,0.02004331,0.13219878,0.041705135,0.0515456,0.0059345937,0.22206783],"study_design_scores_gemma":[0.00048659148,0.007224565,0.5954529,0.00083126326,0.0008384847,0.0014440273,0.12238167,0.1866726,0.04452369,0.006922941,0.032944705,0.0002765],"about_ca_topic_score_codex":0.12156132,"about_ca_topic_score_gemma":0.2464668,"teacher_disagreement_score":0.12156132,"about_ca_system_score_codex":0.004193798,"about_ca_system_score_gemma":0.002195422,"threshold_uncertainty_score":0.2417075},"labels":[],"label_agreement":null},{"id":"W4254561821","doi":"10.1002/div.1655","title":"Smith (A.O.) Corp","year":2004,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Energy Efficiency and Management","field":"Energy","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":"Horsepower; Electricity; Engineering; Electric motor; Business; Waste management; Environmental science; Electrical engineering; Automotive engineering","score_opus":0.01303107504424716,"score_gpt":0.2226201663138496,"score_spread":0.20958909126960243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254561821","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":[0.0015083217,0.0019206192,0.0008390704,0.0012100851,0.00061114825,0.000036289865,0.0012448586,0.0008238185,0.9918058],"genre_scores_gemma":[0.0041185813,0.00070368627,0.0004317949,0.00017332326,0.00005784761,0.000011633106,0.0005718703,0.00006673533,0.9938646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996345,0.000020261039,0.000015821837,0.00011864195,0.0001631249,0.000047553614],"domain_scores_gemma":[0.99951243,0.00004621766,0.000042330325,0.00006815249,0.00021113874,0.00011978554],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023917161,0.0010756447,0.00036346895,0.0015492139,0.0016674647,0.0025760124,0.0005575797,0.0012054334,0.73461926],"category_scores_gemma":[0.0007353699,0.00033114443,0.00030208332,0.001218694,0.0003932902,0.0015651025,0.0012024941,0.0010264668,0.5652398],"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":[0.00011868553,0.000086479384,0.0009065733,0.0001620249,0.000006997677,0.00025602602,0.00009919971,0.00020311993,0.0021023506,0.011651806,0.50764304,0.47676373],"study_design_scores_gemma":[0.000007737702,0.000032356704,0.0007822344,0.000047998983,0.0000034751984,0.00017308471,0.000059035596,0.000097124794,0.00044856244,0.00065283006,0.99769247,0.0000031900188],"about_ca_topic_score_codex":0.0038455531,"about_ca_topic_score_gemma":0.008715202,"teacher_disagreement_score":0.26538074,"about_ca_system_score_codex":0.00090241263,"about_ca_system_score_gemma":0.001010761,"threshold_uncertainty_score":0.37853336},"labels":[],"label_agreement":null},{"id":"W4255705070","doi":"10.18356/c310faa1-ru","title":"Преодоление Барьеров для Инвестиций в Энергоэффективность","year":2019,"lang":"ru","type":"book","venue":"Seriâ publikacij EÈK po ènergetike","topic":"Energy Efficiency and Management","field":"Energy","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":"Efficient energy use; Political science; European union; Investment (military); Sustainable development; Member states; Economic growth; Business; Geography; Regional science; Economy; International trade; Economics; Engineering","score_opus":0.010443283485538099,"score_gpt":0.21394064162461884,"score_spread":0.20349735813908074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255705070","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":[0.02393396,0.041668963,0.075360656,0.008448401,0.00300335,0.0002114329,0.0008313384,0.0004895349,0.8460524],"genre_scores_gemma":[0.37307563,0.075663395,0.13846353,0.0012449439,0.0010874906,0.000533077,0.00084385055,0.0006663012,0.40842184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803096,0.00036738074,0.000096840726,0.00023792313,0.0011304092,0.00013647774],"domain_scores_gemma":[0.9988201,0.00043608542,0.00016288245,0.00022320026,0.000287778,0.00006984494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013864752,0.00038708645,0.0003030075,0.0012988658,0.0013712021,0.004710239,0.0005299243,0.0008787496,0.015131119],"category_scores_gemma":[0.002580471,0.00044635663,0.00036032597,0.0028412854,0.0020323996,0.0018294888,0.0012742663,0.0016444355,0.007930754],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007998464,0.000056966797,0.0012960454,0.000655165,0.000022062373,0.00039436272,0.00315574,0.001096181,0.009037748,0.44561648,0.04632155,0.49226764],"study_design_scores_gemma":[0.000008760238,0.000031958407,0.0011992101,0.00020044977,0.000015786982,0.0005316014,0.0005894927,0.00024259882,0.0040757447,0.03663763,0.95643616,0.0000306359],"about_ca_topic_score_codex":0.0036331117,"about_ca_topic_score_gemma":0.007095726,"teacher_disagreement_score":0.015131119,"about_ca_system_score_codex":0.0015790119,"about_ca_system_score_gemma":0.0033813189,"threshold_uncertainty_score":0.05061865},"labels":[],"label_agreement":null},{"id":"W4255965055","doi":"10.32920/ryerson.14648373","title":"Analysis of natural gas consumption and energy saving measures for small and medium-sized industries in the greater Toronto area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficiency and Management","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":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Economizer; Natural gas; Boiler (water heating); Gas consumption; Waste management; Greenhouse gas; Boiler feedwater; Energy consumption; Environmental science; Engineering; Process engineering; Environmental engineering; Mechanical engineering; Electrical engineering","score_opus":0.04224654066927498,"score_gpt":0.25513403468102397,"score_spread":0.212887494011749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255965055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795485,0.00010264183,0.0001036671,0.000011613226,6.621262e-7,0.000011493416,0.0008753142,0.0000063780926,0.0009332638],"genre_scores_gemma":[0.9969326,0.00014001946,0.00020664762,0.0000034472962,8.891533e-7,0.000006550827,0.0007262271,0.0000024627036,0.0019811417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984205,0.000016395448,0.000008339182,0.000023028204,0.00007198926,0.000038191993],"domain_scores_gemma":[0.9997508,0.000038092152,0.00006569793,0.000007522847,0.000100492194,0.00003745741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010476822,0.0002086902,0.000102771126,0.0010922421,0.00040622964,0.00035757213,0.00021602644,0.00011181077,0.0013097305],"category_scores_gemma":[0.00035836475,0.000088594075,0.0002022318,0.0020809646,0.0002598478,0.00014738945,0.000242716,0.000083640516,0.000098764605],"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":[0.00040928076,0.000056359975,0.9473665,0.0003178815,0.000096540665,0.0007869743,0.0021294379,0.009783203,0.013434328,0.0003651623,0.0008297743,0.024424711],"study_design_scores_gemma":[0.0000017337629,0.000041255636,0.99630046,0.0000060561097,0.000012597916,0.000029756786,0.0011235197,0.00095490797,0.00082510576,0.000007775398,0.0006920936,0.0000046404407],"about_ca_topic_score_codex":0.7689114,"about_ca_topic_score_gemma":0.9304306,"teacher_disagreement_score":0.23108858,"about_ca_system_score_codex":0.005915562,"about_ca_system_score_gemma":0.0016452302,"threshold_uncertainty_score":0.464899},"labels":[],"label_agreement":null},{"id":"W4255992248","doi":"10.1002/div.3648","title":"Smith (A.O.) Corp","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Energy Efficiency and Management","field":"Energy","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":"Horsepower; Electricity; Engineering; Electric motor; Business; Environmental science; Waste management; Electrical engineering; Automotive engineering","score_opus":0.00742668620665351,"score_gpt":0.1991062555623108,"score_spread":0.19167956935565728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255992248","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":[0.0014982332,0.0018991614,0.00086791214,0.0012087108,0.0006274511,0.000037268157,0.0012731848,0.00083905313,0.99174905],"genre_scores_gemma":[0.004163676,0.0007011705,0.00044649126,0.00017381282,0.000060198683,0.000012007217,0.0005776698,0.000069949005,0.9937949],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961406,0.000021418982,0.000016710002,0.00012635291,0.00017236038,0.000049152324],"domain_scores_gemma":[0.99949515,0.000047660666,0.00004391577,0.00007158651,0.00021910256,0.00012251557],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024872192,0.0011066603,0.0003729323,0.0015683679,0.0016789536,0.002599637,0.00057562557,0.001229393,0.7371328],"category_scores_gemma":[0.00075697654,0.0003369846,0.00031145205,0.0012335088,0.00040274678,0.0015726059,0.0012426428,0.0010528052,0.5683081],"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":[0.00012265837,0.000087764034,0.00089948904,0.0001623596,0.0000069838084,0.00025982605,0.00009573847,0.00021058075,0.0021367741,0.011662497,0.4986406,0.48571467],"study_design_scores_gemma":[0.000008039183,0.000033516182,0.0007807795,0.000049278613,0.0000034513432,0.00017550275,0.00005778626,0.000103374645,0.0004713099,0.0006549465,0.9976586,0.0000033320262],"about_ca_topic_score_codex":0.003792412,"about_ca_topic_score_gemma":0.008454796,"teacher_disagreement_score":0.7371328,"about_ca_system_score_codex":0.0009209631,"about_ca_system_score_gemma":0.0010552829,"threshold_uncertainty_score":0.37494814},"labels":[],"label_agreement":null},{"id":"W4293116306","doi":"10.5539/ijef.v14n9p65","title":"Are There Differences between Estimate (Theoretical) and Actual MACC Approaches of Emission Reduction?","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental economics; Marginal abatement cost; Renewable energy; Consumption (sociology); Control (management); Energy consumption; Natural resource economics; Environmental resource management; Business; Economics; Engineering","score_opus":0.02539378779331312,"score_gpt":0.23775128522070926,"score_spread":0.21235749742739615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293116306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18638644,0.026172176,0.42839968,0.08630369,0.0029110636,0.0011976389,0.0072941715,0.0011366161,0.2601985],"genre_scores_gemma":[0.8275001,0.005774551,0.1560144,0.0054471823,0.00039794462,0.0009014454,0.0016307718,0.00036960136,0.0019639428],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.86665744,0.07957246,0.007691291,0.006670992,0.037359186,0.0020486093],"domain_scores_gemma":[0.7056259,0.19306798,0.016620247,0.02777084,0.055673353,0.0012416976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08751654,0.00078470143,0.0009525932,0.0059530665,0.0009983791,0.009924665,0.005070606,0.0020414714,0.0043394472],"category_scores_gemma":[0.36372092,0.000729489,0.0012943989,0.006788215,0.0037415507,0.010284534,0.003199994,0.0025699292,0.001463933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039705387,0.0004511774,0.12711428,0.0046643135,0.0013602203,0.00013562312,0.010389452,0.02520745,0.0008411781,0.36494112,0.020296294,0.44420186],"study_design_scores_gemma":[0.0002953852,0.0007885717,0.22178534,0.016771946,0.00072447583,0.0006919454,0.031386018,0.081342034,0.006949529,0.35195348,0.28664348,0.0006678049],"about_ca_topic_score_codex":0.022525989,"about_ca_topic_score_gemma":0.016465241,"teacher_disagreement_score":0.08751654,"about_ca_system_score_codex":0.0097114835,"about_ca_system_score_gemma":0.006520899,"threshold_uncertainty_score":0.46283722},"labels":[],"label_agreement":null},{"id":"W4296499191","doi":"10.5383/juspn.015.01.004","title":"Contribution to Multi-Energy Flow Management for Building Energy Hub,","year":2021,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Renewable energy; Fossil fuel; Environmental science; Global warming; Natural resource economics; Energy development; Renewable fuels; Primary energy; Environmental impact of the energy industry; Climate change mitigation; Environmental engineering; Environmental protection; Waste management; Climate change; Energy policy; Engineering; Ecology; Economics","score_opus":0.012728543210754784,"score_gpt":0.24628148188917817,"score_spread":0.2335529386784234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296499191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017485242,0.00230704,0.9563049,0.0014668681,0.0006410192,0.000104873885,0.00032922375,0.000848827,0.020511998],"genre_scores_gemma":[0.8190198,0.002864184,0.15553245,0.00030215873,0.0004600034,0.00014008147,0.0006203851,0.00018939812,0.020871585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978524,0.000047422734,0.00001201601,0.00006429422,0.00006180309,0.00002911372],"domain_scores_gemma":[0.9997842,0.000049125352,0.000021547306,0.00003451512,0.000072348965,0.000038234204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038587613,0.0009365376,0.00066389854,0.00048552567,0.00064799795,0.0017126211,0.0012491738,0.00084111886,0.0068531088],"category_scores_gemma":[0.00085764605,0.00027964998,0.0008695103,0.00046973513,0.00029924352,0.001767384,0.0012999647,0.0008909272,0.0011270891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093759656,0.00020945654,0.0021013278,0.0002575141,0.00009261185,0.00016955352,0.00009056706,0.75879824,0.0053509,0.042710293,0.009482734,0.18064296],"study_design_scores_gemma":[0.0000039408865,0.000025729856,0.00027758288,0.000015974416,0.000015645064,0.000027230493,0.000027169095,0.982825,0.0005680998,0.009287086,0.0069175297,0.000009015712],"about_ca_topic_score_codex":0.0063794735,"about_ca_topic_score_gemma":0.006059144,"teacher_disagreement_score":0.0068531088,"about_ca_system_score_codex":0.000739966,"about_ca_system_score_gemma":0.0010665775,"threshold_uncertainty_score":0.022925913},"labels":[],"label_agreement":null},{"id":"W4297727372","doi":"10.5281/zenodo.7066516","title":"MiracleWatt Reviews (USA)- Does Miracle Watt Work or Scam? See The Thruth Exposed...!!!","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Energy Efficiency and Management","field":"Energy","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":"Watt; Miracle; Work (physics); Engineering; Political science; Power (physics); Physics; Mechanical engineering; Law","score_opus":0.05347374596737566,"score_gpt":0.2506364243444128,"score_spread":0.19716267837703713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297727372","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":[0.00057268597,0.10199352,0.0027539805,0.018147668,0.035319306,0.0009993081,0.010005225,0.011188577,0.81901973],"genre_scores_gemma":[0.0027637295,0.050518658,0.0021463907,0.015141101,0.0066552483,0.0006706128,0.0063030575,0.003330467,0.9124707],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982103,0.00015338656,0.00010975035,0.00018664107,0.001231211,0.00010875699],"domain_scores_gemma":[0.9910555,0.0013372767,0.00072038703,0.0004154262,0.0055805054,0.0008909067],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016163905,0.0013306793,0.0013177941,0.0029353676,0.0010063838,0.0051112724,0.0016185474,0.003579168,0.51218086],"category_scores_gemma":[0.01003171,0.0007440779,0.001451735,0.0021111588,0.000527721,0.004544985,0.0013382776,0.0032476147,0.5217178],"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":[0.000013876892,0.000012830992,0.00001692961,0.00067078933,0.000003986906,0.000014349953,0.000013194001,0.00000872057,0.00037291387,0.0005688118,0.959267,0.039036658],"study_design_scores_gemma":[0.0000073162046,0.000014882091,0.00007350562,0.00020674225,0.00000471506,0.00002944553,0.000007946446,0.00000804191,0.00014531215,0.00012336374,0.9993734,0.000005358559],"about_ca_topic_score_codex":0.002895075,"about_ca_topic_score_gemma":0.0062777447,"teacher_disagreement_score":0.48781914,"about_ca_system_score_codex":0.0011073643,"about_ca_system_score_gemma":0.0024182044,"threshold_uncertainty_score":0.6958148},"labels":[],"label_agreement":null},{"id":"W4307712853","doi":"10.1257/pol.20200539","title":"Mandatory Energy Efficiency Disclosure in Housing Markets","year":2022,"lang":"en","type":"article","venue":"American Economic Journal Economic Policy","topic":"Energy Efficiency and Management","field":"Energy","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":"University of Calgary","funders":"","keywords":"Audit; Efficient energy use; Voluntary disclosure; Business; Energy (signal processing); Certification; Market efficiency; Market failure; Actuarial science; Accounting; Public economics; Finance; Microeconomics; Economics; Financial economics","score_opus":0.005231548396458298,"score_gpt":0.22750030089851028,"score_spread":0.222268752502052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307712853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97982967,0.001187928,0.0029460303,0.003781539,0.00006840926,0.000082319704,0.00021812208,0.00005166097,0.0118342545],"genre_scores_gemma":[0.99921906,0.00010757465,0.0001751409,0.00012349477,0.000022514596,0.000011407102,0.000021482063,0.0000016434678,0.00031770678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9920849,0.004353443,0.00048783456,0.00055635546,0.0012552955,0.0012620973],"domain_scores_gemma":[0.86620903,0.06349095,0.06028423,0.0051656654,0.002877666,0.0019725345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012779752,0.00021307416,0.0005408512,0.0005270422,0.0010242416,0.002807916,0.0010069966,0.0019006369,0.004700239],"category_scores_gemma":[0.07188891,0.0003433643,0.000400265,0.0007798686,0.0021522902,0.0034146074,0.0020018476,0.0020469334,0.00027917128],"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":[0.0028533342,0.003747551,0.52322084,0.0010785569,0.00043638688,0.0015595948,0.0036858828,0.05239037,0.0039244066,0.20160818,0.014134187,0.19136079],"study_design_scores_gemma":[0.0014085644,0.004587946,0.67331326,0.00092724455,0.00045338136,0.00095899915,0.008926732,0.097447425,0.011955032,0.17244355,0.027315952,0.00026194548],"about_ca_topic_score_codex":0.0041711554,"about_ca_topic_score_gemma":0.0043930244,"teacher_disagreement_score":0.012779752,"about_ca_system_score_codex":0.0017972197,"about_ca_system_score_gemma":0.0026477845,"threshold_uncertainty_score":0.0675866},"labels":[],"label_agreement":null},{"id":"W4309044107","doi":"10.5539/jsd.v15n6p88","title":"Investigating Drivers Stimulating Demand for Green Renovation of Existing Buildings and Systems","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Energy Efficiency and Management","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Business; Upgrade; Environmental economics; Government (linguistics); Architectural engineering; Energy conservation; Marketing; Finance; Engineering; Economics; Computer science","score_opus":0.02953962233931782,"score_gpt":0.2578476225537637,"score_spread":0.2283080002144459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309044107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969266,0.000097233205,0.00020041999,0.00018011799,0.000004315242,0.000022066193,0.00013386049,0.0000026343428,0.0024327144],"genre_scores_gemma":[0.998681,0.00017455066,0.00020519955,0.000019723415,0.0000057363,0.00001556348,0.00012363386,0.0000017822383,0.0007728148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989612,0.00030925288,0.00007463272,0.00008371679,0.00039236335,0.00017877645],"domain_scores_gemma":[0.98988986,0.0051163295,0.002254687,0.00017944835,0.0018296612,0.0007300165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015366399,0.00020329202,0.00020642976,0.0011100268,0.0004183705,0.0013573782,0.00034637444,0.000468827,0.0043347236],"category_scores_gemma":[0.005270088,0.00020085015,0.00046461212,0.0009833735,0.00035271558,0.0009457019,0.00072298135,0.00060214434,0.0004012442],"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":[0.00010017992,0.0002798197,0.9708791,0.0002762903,0.00005276694,0.000262638,0.008140536,0.0005075784,0.00094606285,0.0017634927,0.00052668876,0.016264783],"study_design_scores_gemma":[0.0000044851313,0.00021794403,0.94133973,0.00009631518,0.000038434937,0.00018386645,0.051080246,0.001566481,0.00071112,0.0005132474,0.0042219204,0.00002612276],"about_ca_topic_score_codex":0.00449772,"about_ca_topic_score_gemma":0.009221329,"teacher_disagreement_score":0.00449772,"about_ca_system_score_codex":0.0007926758,"about_ca_system_score_gemma":0.0010692899,"threshold_uncertainty_score":0.014501095},"labels":[],"label_agreement":null},{"id":"W4312495496","doi":"10.1007/978-981-19-5295-1_9","title":"Energy Consumption Analysis and Energy-Saving Improvement Methods","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chevron (Canada)","funders":"","keywords":"Energy consumption; Energy accounting; Energy balance; Energy (signal processing); Efficient energy use; Consumption (sociology); Work (physics); Electricity; Engineering; Mathematics; Mechanical engineering; Statistics; Electrical engineering","score_opus":0.020719017857429505,"score_gpt":0.2750970731460465,"score_spread":0.25437805528861696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312495496","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":[0.0035843116,0.012366302,0.51692295,0.0016057688,0.00075110974,0.00012039902,0.00048254288,0.0010703936,0.46309614],"genre_scores_gemma":[0.10243631,0.018755728,0.204601,0.00061198464,0.0004174156,0.00025555168,0.00076457305,0.0011884162,0.67096907],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994042,0.00010534309,0.00001674877,0.00006903129,0.00037638636,0.00002830068],"domain_scores_gemma":[0.99964845,0.00019927986,0.000015808393,0.00004097426,0.00009127752,0.000004188987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055536267,0.00096642546,0.00054257404,0.0014169923,0.00037099,0.0017742958,0.0010748447,0.00054808235,0.026282843],"category_scores_gemma":[0.001185631,0.00040642679,0.0005316125,0.0022232758,0.00063701544,0.0022722292,0.00045242757,0.00096045574,0.0052899304],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051000225,0.00011443229,0.00041583454,0.00046818497,0.000031160744,0.00003970762,0.00019153587,0.028682092,0.0024533828,0.36124563,0.05717532,0.5491318],"study_design_scores_gemma":[0.000012277236,0.00007221315,0.002858804,0.00042096362,0.00006369471,0.00023081536,0.00046683112,0.11842076,0.010824221,0.3901744,0.47639948,0.000055648732],"about_ca_topic_score_codex":0.0028872683,"about_ca_topic_score_gemma":0.005261696,"teacher_disagreement_score":0.026282843,"about_ca_system_score_codex":0.0012799315,"about_ca_system_score_gemma":0.0007434694,"threshold_uncertainty_score":0.0879249},"labels":[],"label_agreement":null},{"id":"W4312692154","doi":"10.2139/ssrn.4286353","title":"Assessment of a Direct Air Capture Process Scale-Up","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Scale (ratio); Process (computing); Environmental science; Computer science; Geography; Cartography","score_opus":0.004380512293416891,"score_gpt":0.2470325605522739,"score_spread":0.242652048258857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312692154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94521314,0.0017842515,0.025840081,0.0005439133,0.00027685292,0.002476929,0.0009497924,0.0006473993,0.022267627],"genre_scores_gemma":[0.9800948,0.00068048073,0.012092297,0.0001180201,0.00002973295,0.0003518985,0.00033197366,0.00003962059,0.006261315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978302,0.00031985756,0.000103380306,0.00026045955,0.0012588702,0.00022725682],"domain_scores_gemma":[0.9966684,0.00091343874,0.00018683948,0.00044149492,0.0016105272,0.00017926603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031202398,0.000911596,0.0008754251,0.0010723926,0.0011235655,0.0024291477,0.0016221127,0.0019015308,0.00774889],"category_scores_gemma":[0.004962822,0.00033542735,0.0012277055,0.0010155845,0.00071115413,0.0022681667,0.0013061806,0.0010078979,0.0014848716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010990153,0.0056205303,0.013273033,0.002426879,0.00028060068,0.00074508827,0.00039335727,0.05874325,0.5948637,0.0036816036,0.0022239054,0.3067579],"study_design_scores_gemma":[0.0012933575,0.05804625,0.058936995,0.00027303523,0.00089868595,0.00068056036,0.0018080005,0.08965104,0.75466686,0.002561935,0.03097623,0.00020714095],"about_ca_topic_score_codex":0.005861297,"about_ca_topic_score_gemma":0.006150543,"teacher_disagreement_score":0.00774889,"about_ca_system_score_codex":0.002333176,"about_ca_system_score_gemma":0.0021274448,"threshold_uncertainty_score":0.025922656},"labels":[],"label_agreement":null},{"id":"W4318676640","doi":"10.5539/jms.v13n1p31","title":"The Strategic Role of Energy Efficiency and Industry 4.0 Interventions in Manufacturing","year":2023,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Psychological intervention; Business; Reputation; Corporate social responsibility; Efficient energy use; Industrial organization; Complementarity (molecular biology); Environmental economics; Sustainable development; Sustainable business; Marketing; Economics; Public economics; Public relations","score_opus":0.014077334096803076,"score_gpt":0.26086368723378267,"score_spread":0.2467863531369796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318676640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97681695,0.0013372115,0.0027165168,0.0029185843,0.000019274508,0.000086277956,0.00018636981,0.000017807028,0.01590101],"genre_scores_gemma":[0.99918145,0.000093619616,0.00025954557,0.00005928128,0.0000054237184,0.000018308367,0.000034176297,0.0000012516595,0.00034686597],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9917746,0.005506985,0.00031244927,0.0004352658,0.00084637303,0.0011242226],"domain_scores_gemma":[0.97174305,0.015929652,0.009233485,0.0008324712,0.0010934558,0.0011679251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004671597,0.0002554878,0.0002689327,0.0009841312,0.00046531574,0.0015667388,0.00045956185,0.000847607,0.0026854964],"category_scores_gemma":[0.015293122,0.0001580727,0.00035027775,0.0013125394,0.0011785541,0.0010729306,0.0017940874,0.0008157697,0.0002049555],"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":[0.0002953134,0.0005707725,0.9248934,0.00028962473,0.00013970226,0.00020003831,0.0018658827,0.0050454973,0.0009956595,0.020476896,0.00066995784,0.044557318],"study_design_scores_gemma":[0.000014353957,0.0002702062,0.9823381,0.00016106399,0.00006796401,0.000043871907,0.0025425325,0.002495343,0.0009165075,0.004774613,0.006351463,0.000023982504],"about_ca_topic_score_codex":0.0065188543,"about_ca_topic_score_gemma":0.012502633,"teacher_disagreement_score":0.0065188543,"about_ca_system_score_codex":0.0033699886,"about_ca_system_score_gemma":0.0032117546,"threshold_uncertainty_score":0.024706125},"labels":[],"label_agreement":null},{"id":"W4319592479","doi":"10.2139/ssrn.4348993","title":"Estimates of Long-Run Energy Savings and Realization Rates from a Large Energy Efficiency Retrofit Program","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Realization (probability); Energy (signal processing); Efficient energy use; Environmental science; Computer science; Environmental economics; Economics; Engineering; Electrical engineering; Statistics; Mathematics","score_opus":0.00627577313017584,"score_gpt":0.2478684441188448,"score_spread":0.24159267098866896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319592479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716077,0.0009395676,0.007898706,0.0008989835,0.000045843477,0.000054335957,0.005824863,0.00022745247,0.01250257],"genre_scores_gemma":[0.99060833,0.0003887764,0.0012144311,0.000043646098,0.000016921565,0.000038013906,0.003445155,0.000019987745,0.004224747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992304,0.0002715938,0.000033022778,0.00006822988,0.00025139746,0.00014541388],"domain_scores_gemma":[0.9966175,0.0019724236,0.0005120026,0.00017593564,0.00058044173,0.00014166707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017357632,0.0003948885,0.0003422453,0.00063518155,0.00028921053,0.0010438254,0.00049143273,0.00060211046,0.0020913929],"category_scores_gemma":[0.004219389,0.00028302587,0.000716971,0.0010322571,0.00026971407,0.00083577883,0.00048263118,0.0013432378,0.00045203418],"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":[0.010926619,0.0010047662,0.2693127,0.0006923774,0.0009214156,0.0011451652,0.00049983873,0.4919753,0.017351039,0.04182699,0.012811916,0.15153189],"study_design_scores_gemma":[0.000383319,0.0027473683,0.70468694,0.00010184331,0.0009683934,0.0005459206,0.0012328265,0.2285662,0.027208919,0.012779679,0.020550266,0.00022834074],"about_ca_topic_score_codex":0.009619859,"about_ca_topic_score_gemma":0.012825892,"teacher_disagreement_score":0.009619859,"about_ca_system_score_codex":0.0012708403,"about_ca_system_score_gemma":0.00084769825,"threshold_uncertainty_score":0.019127727},"labels":[],"label_agreement":null},{"id":"W4320023601","doi":"10.34031/es.2022.2.001","title":"Evaluation of the reduction of the fees for the consumption of electricity when the half-hour maximum reduces","year":2022,"lang":"en","type":"article","venue":"Energy Systems","topic":"Energy Efficiency and Management","field":"Energy","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":"Electricity; Consumption (sociology); Mains electricity; Quarter (Canadian coin); Environmental economics; Production (economics); Energy consumption; Reduction (mathematics); Energy (signal processing); Business; Energy supply; Electric potential energy; Electricity generation; Electric energy consumption; Power (physics); Operations management; Electric energy; Economics; Microeconomics; Engineering; Electrical engineering; Statistics; Mathematics","score_opus":0.03973020828156261,"score_gpt":0.25791537175366547,"score_spread":0.21818516347210287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320023601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95170957,0.00045083146,0.021826385,0.000206386,0.0000338453,0.00019819179,0.00050513266,0.00018342072,0.02488613],"genre_scores_gemma":[0.9962799,0.00006576929,0.002443881,0.000005969713,0.000003827363,0.000019728492,0.00012035985,0.000009732876,0.0010508926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982083,0.00038946664,0.000049388123,0.00006596199,0.0011726525,0.00011418347],"domain_scores_gemma":[0.99733824,0.0010853303,0.00036560657,0.00022495065,0.00089078984,0.000095111136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013016156,0.00028057935,0.00027053797,0.0010542375,0.00025709762,0.00080358685,0.00054715923,0.0005320444,0.001900124],"category_scores_gemma":[0.0044648177,0.00008391542,0.0005227911,0.0007068565,0.00038420543,0.0007591408,0.00039645273,0.00030121423,0.00027937948],"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":[0.002868531,0.0010068449,0.16861989,0.001119256,0.0003049464,0.0007916133,0.00048675097,0.38461667,0.048201498,0.02178238,0.00476053,0.3654411],"study_design_scores_gemma":[0.00008206566,0.0032972833,0.46425423,0.000099461606,0.00027957815,0.0006711031,0.0009470761,0.42800787,0.084138334,0.005379334,0.012748831,0.00009474035],"about_ca_topic_score_codex":0.0029371239,"about_ca_topic_score_gemma":0.0023843346,"teacher_disagreement_score":0.0029371239,"about_ca_system_score_codex":0.0011720551,"about_ca_system_score_gemma":0.00064934726,"threshold_uncertainty_score":0.008503854},"labels":[],"label_agreement":null},{"id":"W4323338792","doi":"10.2139/ssrn.4275019","title":"Choosing to Pay More for Electricity: An Experiment on the Level of Residential Consumer Cooperation","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Electricity; Economics; Business; Public economics; Environmental economics; Marketing; Engineering; Electrical engineering","score_opus":0.04854339587358341,"score_gpt":0.31300696171294823,"score_spread":0.2644635658393648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323338792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940031,0.000026607098,0.00060473627,0.00044182016,0.00006526762,0.00018345038,0.00011811926,0.000016861111,0.004540038],"genre_scores_gemma":[0.9933222,0.000032561096,0.0011015934,0.00030396346,0.00004793196,0.0006186357,0.0001270804,0.000020701986,0.0044253888],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9972318,0.0015097255,0.00015182824,0.0004828422,0.00023010367,0.00039365928],"domain_scores_gemma":[0.94734156,0.042971153,0.002356122,0.003151538,0.0006323092,0.0035473725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049483473,0.0006709612,0.001062775,0.0003311858,0.0015469275,0.0030303479,0.0016204193,0.0034740432,0.025888696],"category_scores_gemma":[0.018817356,0.0006822362,0.0006490088,0.00045398538,0.0029221184,0.002291784,0.0016823715,0.004707977,0.0018388097],"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":[0.4484241,0.29747576,0.042795878,0.0014671147,0.0012490238,0.0011586125,0.010848083,0.021026082,0.08181481,0.03998632,0.0068969326,0.04685732],"study_design_scores_gemma":[0.17142887,0.34185612,0.16702597,0.00033427455,0.0027050097,0.0006302683,0.02071612,0.10906857,0.039760042,0.122318976,0.022991385,0.0011643363],"about_ca_topic_score_codex":0.0022346112,"about_ca_topic_score_gemma":0.0019546256,"teacher_disagreement_score":0.025888696,"about_ca_system_score_codex":0.0011427832,"about_ca_system_score_gemma":0.0013391179,"threshold_uncertainty_score":0.08660638},"labels":[],"label_agreement":null},{"id":"W4361861111","doi":"10.2139/ssrn.4404500","title":"Do Consumers Acquire Information Optimally? Experimental Evidence from Energy Efficiency","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Efficient energy use; Business; Energy (signal processing); Environmental economics; Advertising; Marketing; Economics; Engineering; Mathematics; Statistics","score_opus":0.012171907125711166,"score_gpt":0.25275465864250724,"score_spread":0.24058275151679606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361861111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745315,0.0004159977,0.0015360821,0.0018978342,0.0000262665,0.00010575956,0.00018549876,0.00002312345,0.021278027],"genre_scores_gemma":[0.99570787,0.0003784555,0.00063503586,0.0003701733,0.000024057872,0.000055618344,0.00014579756,0.000014538748,0.0026684473],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99843186,0.0009234591,0.00008791671,0.00016483913,0.00025706302,0.00013481149],"domain_scores_gemma":[0.89215434,0.09315508,0.007069754,0.005707353,0.0013788559,0.0005346147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043621957,0.0004849207,0.000569565,0.00045890376,0.00041284514,0.0016816988,0.0005794275,0.0019219393,0.019637672],"category_scores_gemma":[0.031962287,0.0006136809,0.0003388449,0.0005484941,0.0018856559,0.0030057745,0.0007544743,0.0011839512,0.0011887426],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0915542,0.05529357,0.26299685,0.004827991,0.0023189657,0.0015955538,0.01027727,0.023132252,0.06249026,0.16384746,0.017032668,0.304633],"study_design_scores_gemma":[0.022761099,0.022374902,0.4575667,0.0007687209,0.0029034612,0.001207468,0.011414385,0.048846047,0.08902371,0.3102233,0.032520484,0.00038959945],"about_ca_topic_score_codex":0.0015613172,"about_ca_topic_score_gemma":0.00092366233,"teacher_disagreement_score":0.019637672,"about_ca_system_score_codex":0.00059377437,"about_ca_system_score_gemma":0.00057932123,"threshold_uncertainty_score":0.06569457},"labels":[],"label_agreement":null},{"id":"W4384915497","doi":"10.2139/ssrn.4505225","title":"Revisit cost-benefit analysis in energy infrastructure: Current methodology, practice, and limitations toward digital investment","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Current (fluid); Investment (military); Energy (signal processing); Risk analysis (engineering); Environmental economics; Business; Computer science; Economics; Engineering; Political science; Electrical engineering; Physics; Politics","score_opus":0.04129104141461416,"score_gpt":0.3109856760520295,"score_spread":0.26969463463741533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384915497","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":[0.030254576,0.03101707,0.8415194,0.039127577,0.0011437825,0.0003933478,0.0005683005,0.00026503517,0.055710934],"genre_scores_gemma":[0.6857109,0.038015917,0.25764343,0.0060378644,0.0021892546,0.00066034315,0.0003283984,0.0003504468,0.00906352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98444945,0.010950381,0.0005736111,0.0008428286,0.0027413114,0.00044244507],"domain_scores_gemma":[0.8966696,0.09181948,0.002028537,0.003849256,0.0052060615,0.0004270515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029859954,0.0018089785,0.0021917296,0.004727918,0.0010106917,0.011829525,0.0037354361,0.0030145538,0.00758105],"category_scores_gemma":[0.08495702,0.00077118044,0.0015370336,0.006665896,0.007169329,0.014084165,0.0032283573,0.008234672,0.0012829797],"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":[0.00005164289,0.0001359439,0.0017159135,0.0011096017,0.00016252273,0.00006062152,0.00041684293,0.042736724,0.00016894935,0.80744845,0.0052507757,0.14074199],"study_design_scores_gemma":[0.000021064296,0.00005584659,0.00096812256,0.0012505382,0.000094232186,0.00005641056,0.00039327604,0.057142943,0.00028713237,0.9213539,0.018341716,0.000034886667],"about_ca_topic_score_codex":0.0071414975,"about_ca_topic_score_gemma":0.009801923,"teacher_disagreement_score":0.029859954,"about_ca_system_score_codex":0.0067158923,"about_ca_system_score_gemma":0.0058111595,"threshold_uncertainty_score":0.15791643},"labels":[],"label_agreement":null},{"id":"W4385588001","doi":"10.1007/978-3-030-97940-9_17","title":"An Integrated AI-Multiple Criteria Decision-Making Framework to Improve Sustainable Energy Planning in Manufacturing Systems: A Case Study","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Multiple-criteria decision analysis; Task (project management); Management science; Energy planning; Energy (signal processing); Sustainable development; Computer science; Engineering; Process management; Risk analysis (engineering); Operations research; Systems engineering; Business; Renewable energy","score_opus":0.017613899628390422,"score_gpt":0.30173763052940156,"score_spread":0.2841237309010111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385588001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029554728,0.0011830768,0.91518843,0.0010184869,0.00011405136,0.00024446342,0.00016315226,0.00028269363,0.05225097],"genre_scores_gemma":[0.44050142,0.00070811727,0.54726845,0.00012275888,0.000034866003,0.00020985924,0.00016487631,0.000059745907,0.010929901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987822,0.00065074785,0.000045128672,0.00007914138,0.00033953358,0.00010320919],"domain_scores_gemma":[0.9987317,0.00094524183,0.000043427106,0.00004737312,0.00017787665,0.000054415483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019075839,0.00075831043,0.00051859475,0.00081363635,0.0009320817,0.0027867614,0.0013302395,0.0012734532,0.003761602],"category_scores_gemma":[0.0022989255,0.0003103426,0.00072357274,0.0019561874,0.00079740025,0.0013399465,0.0012879494,0.0013190202,0.00033430662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111390604,0.00028779267,0.00060677214,0.0002185015,0.000065140586,0.00048876833,0.0003480067,0.6933559,0.0023048138,0.15002254,0.0039226008,0.14826775],"study_design_scores_gemma":[0.000023265196,0.00008251265,0.0002417181,0.00005408443,0.000023311768,0.000092018265,0.00026524736,0.9362411,0.0014310313,0.052311342,0.00921203,0.000022339358],"about_ca_topic_score_codex":0.009667143,"about_ca_topic_score_gemma":0.014536664,"teacher_disagreement_score":0.009667143,"about_ca_system_score_codex":0.0017542121,"about_ca_system_score_gemma":0.0023134165,"threshold_uncertainty_score":0.019221783},"labels":[],"label_agreement":null},{"id":"W4386050217","doi":"10.1007/s12053-023-10150-4","title":"A novel technology-explicit framework for predicting the efficiency of industrial device retrofits in stock turnover models with a case study of the pulp and paper sector","year":2023,"lang":"en","type":"article","venue":"Energy Efficiency","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Cenovus Energy; Alberta Innovates; Environment and Climate Change Canada; Suncor Energy Incorporated","keywords":"Upgrade; Efficient energy use; Stock (firearms); Economics; Capital cost; Environmental economics; Econometrics; Industrial organization; Computer science; Engineering; Mechanical engineering","score_opus":0.038472861668026194,"score_gpt":0.2566995459709589,"score_spread":0.2182266843029327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386050217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48382312,0.0015921535,0.48583585,0.0025547284,0.00019560434,0.00012539211,0.0012173634,0.0006214995,0.024034394],"genre_scores_gemma":[0.9790233,0.00034775218,0.015299637,0.0001048457,0.000077476645,0.00005555932,0.0002565071,0.000049405968,0.0047856662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966335,0.00013624349,0.00001867085,0.000059231585,0.000044692144,0.00007773522],"domain_scores_gemma":[0.99753004,0.0018253025,0.00024197443,0.000116207826,0.00016629309,0.000120192264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001566706,0.0008011467,0.0012855864,0.0006270957,0.0006796307,0.0021236187,0.0022665996,0.0028205786,0.0043540415],"category_scores_gemma":[0.0046438295,0.00080155715,0.0009828274,0.0008709067,0.0009481262,0.0019327456,0.0010279043,0.0019506494,0.00032716015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000975188,0.00003271641,0.00060050003,0.0000101406595,0.000013306402,0.00004091486,0.000012951733,0.9918425,0.00009346812,0.00607833,0.00017093557,0.0010944036],"study_design_scores_gemma":[0.000004554784,0.000006047763,0.00010899795,0.0000027622318,0.000005275234,0.000003845343,0.0000069525727,0.9969998,0.000027217568,0.0027345615,0.00009665288,0.0000033364597],"about_ca_topic_score_codex":0.039431203,"about_ca_topic_score_gemma":0.034566924,"teacher_disagreement_score":0.039431203,"about_ca_system_score_codex":0.0012127368,"about_ca_system_score_gemma":0.0021057152,"threshold_uncertainty_score":0.07840341},"labels":[],"label_agreement":null},{"id":"W4386199760","doi":"10.2139/ssrn.4550491","title":"The Drivers of Negative Electricity Price Occurrence: Insights from the New York Wholesale Electricity Markets","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Electricity; Electricity market; Electricity retailing; Electricity price; Business; Economics; Commerce; Industrial organization; Engineering","score_opus":0.009387904971923405,"score_gpt":0.22108278867653813,"score_spread":0.21169488370461473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386199760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863485,0.00034182667,0.0004125862,0.0018471532,0.000022699707,0.00001736405,0.000863069,0.000012137772,0.010134566],"genre_scores_gemma":[0.99762386,0.00027370144,0.000068981295,0.000045799025,0.000029407469,0.000005870107,0.00040001038,0.0000071204227,0.0015451948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998356,0.00003234692,0.00000968881,0.000028784083,0.000054943168,0.00003868818],"domain_scores_gemma":[0.9966344,0.001876488,0.00091107946,0.000067078116,0.0002830811,0.00022793002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004058211,0.000142317,0.0002542924,0.00078260154,0.0005061019,0.002198465,0.00041279852,0.00050632237,0.008235295],"category_scores_gemma":[0.0039614593,0.00023598524,0.00026350023,0.0014892841,0.0005543288,0.0018995663,0.0006742756,0.001370745,0.00044115575],"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":[0.00037741716,0.00029995668,0.92687726,0.000101278885,0.00012692223,0.0012332953,0.00278575,0.006339056,0.0012869966,0.02409323,0.016165903,0.02031298],"study_design_scores_gemma":[0.00003687861,0.00008097407,0.9482895,0.00004636647,0.000063865926,0.00019090826,0.008540337,0.025219403,0.0003204597,0.0069916104,0.010172335,0.000047340433],"about_ca_topic_score_codex":0.07543246,"about_ca_topic_score_gemma":0.14460804,"teacher_disagreement_score":0.07543246,"about_ca_system_score_codex":0.00091165816,"about_ca_system_score_gemma":0.0007232812,"threshold_uncertainty_score":0.14998674},"labels":[],"label_agreement":null},{"id":"W4387246990","doi":"10.3386/w31742","title":"Do Consumers Acquire Information Optimally? Experimental Evidence from Energy Efficiency","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Energy Efficiency and Management","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":"University of Calgary","funders":"University of Pittsburgh","keywords":"Efficient energy use; Energy (signal processing); Computer science; Business; Mathematics; Statistics; Engineering; Electrical engineering","score_opus":0.3829295128463889,"score_gpt":0.5095084939876632,"score_spread":0.1265789811412743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387246990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97753453,0.00040657134,0.0028949922,0.0027129313,0.000046606183,0.00024837165,0.00025434312,0.000029510831,0.01587211],"genre_scores_gemma":[0.99458426,0.00034415218,0.0018600238,0.00086901645,0.000028001357,0.00024002472,0.0001630641,0.000010547991,0.0019009325],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9949876,0.0032678049,0.00030895273,0.000501739,0.0006335944,0.00030022816],"domain_scores_gemma":[0.8660332,0.10632275,0.0149092395,0.0102843875,0.0016601477,0.00079019606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079745315,0.0006513663,0.0008310747,0.00039137038,0.0004544346,0.0015737992,0.00073875056,0.0029305024,0.011225386],"category_scores_gemma":[0.052959695,0.00069979584,0.00048401882,0.00038148242,0.0020392614,0.002616848,0.0011202963,0.0018517968,0.0011402463],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.07657495,0.116511114,0.26067638,0.0054428214,0.003258826,0.0011342985,0.006606591,0.041598275,0.060229257,0.12067891,0.01790239,0.28938615],"study_design_scores_gemma":[0.04212875,0.052428786,0.39198714,0.0011541117,0.002362611,0.0010578666,0.005504027,0.094126254,0.06321842,0.31376898,0.031687513,0.0005755845],"about_ca_topic_score_codex":0.0011262756,"about_ca_topic_score_gemma":0.0008675622,"teacher_disagreement_score":0.011225386,"about_ca_system_score_codex":0.00064009643,"about_ca_system_score_gemma":0.00061061326,"threshold_uncertainty_score":0.042173862},"labels":[],"label_agreement":null},{"id":"W4387909865","doi":"10.24200/sci.2023.60289.6706","title":"Investments in energy efficiency with government environmental sensitiveness: An application of geometric programming and game theory","year":2023,"lang":"en","type":"article","venue":"Scientia Iranica","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Stackelberg competition; Purchasing; Nash equilibrium; Profit (economics); Microeconomics; Game theory; Revenue; Business; Revenue management; Government (linguistics); Industrial organization; Economics; Product (mathematics); Marketing; Environmental economics; Finance","score_opus":0.0059782330315598506,"score_gpt":0.2039181261391241,"score_spread":0.19793989310756427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387909865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06316433,0.0004329902,0.8809795,0.0022725328,0.00007937927,0.00027157043,0.000078021934,0.00008289249,0.052638855],"genre_scores_gemma":[0.87781537,0.00095879036,0.11256703,0.00023113987,0.000081309765,0.00038314617,0.00004077881,0.00005193032,0.007870531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821585,0.0011991682,0.000032801145,0.00016180002,0.00018358245,0.00020666335],"domain_scores_gemma":[0.99757653,0.0019221224,0.00021596592,0.000069276924,0.00013820763,0.00007798446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022595536,0.0013993857,0.0010484707,0.0010329861,0.0008102622,0.003003753,0.0012581575,0.0019379485,0.0047314577],"category_scores_gemma":[0.0060342373,0.00069482875,0.0016393899,0.0012646888,0.0028529656,0.0028992873,0.001959769,0.0028025925,0.00019915598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022042663,0.00007889717,0.00063290034,0.00007081988,0.00003835838,0.00013946439,0.00017118115,0.5904586,0.00033613402,0.3990035,0.00075485394,0.008293276],"study_design_scores_gemma":[0.000019779587,0.000056693327,0.0002326409,0.000024510562,0.000019424207,0.000042404037,0.00016384042,0.8044243,0.00015421592,0.19315168,0.0016931307,0.000017431186],"about_ca_topic_score_codex":0.009488568,"about_ca_topic_score_gemma":0.0078829285,"teacher_disagreement_score":0.009488568,"about_ca_system_score_codex":0.0035606339,"about_ca_system_score_gemma":0.003359232,"threshold_uncertainty_score":0.025834322},"labels":[],"label_agreement":null},{"id":"W4389038799","doi":"10.1016/j.enpol.2023.113898","title":"Beyond policy impacts: Internal strategic capabilities as determinants of industrial energy efficiency implementation","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stakeholder; LEAPS; Business; Resource (disambiguation); Industrial organization; Resource efficiency; Environmental economics; Natural resource; Process management; Economics; Management; Political science; Computer science; Finance","score_opus":0.030184950213365376,"score_gpt":0.3272760695411317,"score_spread":0.29709111932776633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389038799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83458537,0.0005845852,0.0036546125,0.008037909,0.000050367387,0.000084214225,0.00023989622,0.00004934663,0.1527137],"genre_scores_gemma":[0.99923,0.00007328595,0.000108918764,0.00008991761,0.0000074721293,0.000007234001,0.000022831615,0.000005718785,0.0004546027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953011,0.0016699061,0.00019192063,0.00024106563,0.00085554976,0.00174037],"domain_scores_gemma":[0.9480034,0.03116363,0.009538776,0.0017252786,0.00432267,0.0052462122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005386213,0.00036790123,0.00032362618,0.0018996503,0.0011485296,0.0096781785,0.0005734969,0.0014036032,0.010171592],"category_scores_gemma":[0.03314491,0.00022391132,0.00036983425,0.0023796118,0.0038527772,0.005047418,0.0044031953,0.003304963,0.00061771704],"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":[0.0005645687,0.0013251755,0.65903634,0.00028913785,0.000403105,0.00058335526,0.0050497157,0.015185114,0.0011822671,0.26222634,0.003789688,0.050365165],"study_design_scores_gemma":[0.000066111956,0.00043678025,0.77403516,0.000585548,0.00023589912,0.00021132031,0.029820146,0.009408312,0.0028386903,0.16803774,0.014240586,0.00008384988],"about_ca_topic_score_codex":0.0060246633,"about_ca_topic_score_gemma":0.009704204,"teacher_disagreement_score":0.010171592,"about_ca_system_score_codex":0.0028122813,"about_ca_system_score_gemma":0.0054571987,"threshold_uncertainty_score":0.034027338},"labels":[],"label_agreement":null},{"id":"W4390056997","doi":"10.5539/jms.v14n1p21","title":"The Effect of Default Options on Choice of Electricity Utility at Grid Parity: A Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity; Default; Cost of electricity by source; Renewable energy; Purchasing power parity; Economics; Energy mix; Grid parity; Grid; Environmental economics; Econometrics; Electricity generation; Engineering; Mathematics; Distributed generation; Electrical engineering; Power (physics); Physics; Monetary economics; Finance","score_opus":0.013791712463864484,"score_gpt":0.3379304316155354,"score_spread":0.3241387191516709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390056997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588287,0.00017372279,0.00193832,0.00009471781,0.00003896969,0.0006880535,0.00030739448,0.00001345143,0.0008625874],"genre_scores_gemma":[0.9825717,0.00019737442,0.008256064,0.00035864994,0.00005246087,0.0054085236,0.00047490705,0.000019893923,0.0026603222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.982167,0.0121780895,0.0013263805,0.00177067,0.0015798713,0.000977849],"domain_scores_gemma":[0.9332854,0.053417295,0.0070300954,0.003503797,0.0016736697,0.0010898667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019226363,0.00080706045,0.0018255458,0.001085024,0.0020052285,0.0029137863,0.0021752457,0.0019755645,0.008849509],"category_scores_gemma":[0.043235525,0.0010039308,0.0022330966,0.00089572277,0.0011673416,0.0018946175,0.0013997996,0.0023442863,0.00089442177],"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":[0.037490863,0.04756375,0.7589678,0.0029596144,0.005550439,0.0008558205,0.053163994,0.0013546369,0.0057101566,0.0054362332,0.0026015388,0.078345135],"study_design_scores_gemma":[0.003961023,0.07269684,0.8327213,0.0012986815,0.0039782445,0.00073182106,0.039826784,0.025307583,0.0051236795,0.006174452,0.007733663,0.00044590185],"about_ca_topic_score_codex":0.0029978028,"about_ca_topic_score_gemma":0.004085733,"teacher_disagreement_score":0.019226363,"about_ca_system_score_codex":0.0009690528,"about_ca_system_score_gemma":0.0012696898,"threshold_uncertainty_score":0.10167992},"labels":[],"label_agreement":null},{"id":"W4391424978","doi":"10.1007/978-3-031-35471-7_40","title":"Energy Performance Evaluation and Building Energy Code Implementation of Multi-unit Residential Buildings: A Review","year":2024,"lang":"en","type":"review","venue":"Lecture notes in civil engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Architectural engineering; Unit (ring theory); Code (set theory); Energy (signal processing); Computer science; Engineering; Programming language; Mathematics","score_opus":0.02964188576280546,"score_gpt":0.3373387779621574,"score_spread":0.3076968921993519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391424978","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029688937,0.9991302,0.00009843465,0.00012050877,0.000057714195,0.000006568831,0.000035550613,0.0000032681353,0.00025091597],"genre_scores_gemma":[0.0023581958,0.997081,0.00025994994,0.0001165591,0.000046979967,0.000007490675,0.00004528044,0.0000025402192,0.00008198721],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982957,0.00030876583,0.0003346259,0.0002762519,0.00069839874,0.00008613892],"domain_scores_gemma":[0.9946779,0.0027559001,0.0010545485,0.000108825334,0.0013040678,0.0000986713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043057776,0.0011600998,0.0029881955,0.0036330754,0.0002133472,0.0015992832,0.002082402,0.0013103941,0.0020313456],"category_scores_gemma":[0.0059946105,0.0005963581,0.0015800971,0.0058655245,0.00066788675,0.0016896848,0.000833432,0.00089857745,0.0005111775],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001809151,0.00014760974,0.00080254866,0.10316474,0.00055725133,0.000054463937,0.00007312971,0.0010672897,0.0009274644,0.0019739626,0.009915669,0.881135],"study_design_scores_gemma":[0.00013412218,0.0013545117,0.012829478,0.10997002,0.0049833646,0.00079008087,0.00049089553,0.0008115051,0.0037084806,0.0021326407,0.86262316,0.00017181323],"about_ca_topic_score_codex":0.0047959182,"about_ca_topic_score_gemma":0.009066284,"teacher_disagreement_score":0.0047959182,"about_ca_system_score_codex":0.0013717584,"about_ca_system_score_gemma":0.004034058,"threshold_uncertainty_score":0.022771418},"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":"W4394218836","doi":"10.6084/m9.figshare.17821328","title":"EcoENERGY for Homes Data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Energy Efficiency and Management","field":"Energy","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":"Computer science","score_opus":0.0876326942550401,"score_gpt":0.3030447299148953,"score_spread":0.21541203565985517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394218836","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005243418,0.000013608337,0.000016113347,0.000027854514,0.000007271574,0.0000032971932,0.99935406,0.00005297703,0.00047240543],"genre_scores_gemma":[0.00024532122,0.000028971488,0.0001074692,0.000027553588,0.0000033080375,0.000029037847,0.9984529,0.00003564203,0.0010698434],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9988458,0.00011291665,0.00009951849,0.00022852141,0.0004480464,0.0002651719],"domain_scores_gemma":[0.99723464,0.00042139218,0.00023902228,0.00041971088,0.0014156457,0.00026958348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078595156,0.0017997529,0.0010741968,0.0044035735,0.0010185087,0.0020447867,0.0021928605,0.0018265846,0.09726698],"category_scores_gemma":[0.00445444,0.00062694185,0.0013276923,0.010080485,0.0003684133,0.0011367156,0.0014603094,0.001779256,0.08089093],"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":[0.00002320836,0.0000104826495,0.0005573597,0.000163548,0.000013530761,0.000009740722,0.000010883911,0.00026281734,0.00004051816,0.00047998858,0.9972199,0.0012079128],"study_design_scores_gemma":[0.00009456201,0.000009027142,0.006927007,0.00017097156,0.000020268115,0.000023140048,0.00009031056,0.0003819445,0.00018511784,0.00074352615,0.9913249,0.000029344723],"about_ca_topic_score_codex":0.30080792,"about_ca_topic_score_gemma":0.4116325,"teacher_disagreement_score":0.30080792,"about_ca_system_score_codex":0.0032547691,"about_ca_system_score_gemma":0.0054324255,"threshold_uncertainty_score":0.598114},"labels":[],"label_agreement":null},{"id":"W4394526637","doi":"10.6084/m9.figshare.17821328.v1","title":"EcoENERGY for Homes Data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Energy Efficiency and Management","field":"Energy","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":"Computer science; Geography","score_opus":0.0876326942550401,"score_gpt":0.3030447299148953,"score_spread":0.21541203565985517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394526637","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005243418,0.000013608337,0.000016113347,0.000027854514,0.000007271574,0.0000032971932,0.99935406,0.00005297703,0.00047240543],"genre_scores_gemma":[0.00024532122,0.000028971488,0.0001074692,0.000027553588,0.0000033080375,0.000029037847,0.9984529,0.00003564203,0.0010698434],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988458,0.00011291665,0.00009951849,0.00022852141,0.0004480464,0.0002651719],"domain_scores_gemma":[0.99723464,0.00042139218,0.00023902228,0.00041971088,0.0014156457,0.00026958348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078595156,0.0017997529,0.0010741968,0.0044035735,0.0010185087,0.0020447867,0.0021928605,0.0018265846,0.09726698],"category_scores_gemma":[0.00445444,0.00062694185,0.0013276923,0.010080485,0.0003684133,0.0011367156,0.0014603094,0.001779256,0.08089093],"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":[0.00002320836,0.0000104826495,0.0005573597,0.000163548,0.000013530761,0.000009740722,0.000010883911,0.00026281734,0.00004051816,0.00047998858,0.9972199,0.0012079128],"study_design_scores_gemma":[0.00009456201,0.000009027142,0.006927007,0.00017097156,0.000020268115,0.000023140048,0.00009031056,0.0003819445,0.00018511784,0.00074352615,0.9913249,0.000029344723],"about_ca_topic_score_codex":0.30080792,"about_ca_topic_score_gemma":0.4116325,"teacher_disagreement_score":0.30080792,"about_ca_system_score_codex":0.0032547691,"about_ca_system_score_gemma":0.0054324255,"threshold_uncertainty_score":0.598114},"labels":[],"label_agreement":null},{"id":"W4395059552","doi":"10.29173/alr2676","title":"Prompt Payment Movement Sweeps Across Canada: Is the Energy Industry Ready to Comply?","year":2021,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Movement (music); Business; Energy (signal processing); Energy law; Finance; Law; Political science; Statistics","score_opus":0.021500202743538047,"score_gpt":0.27024241940833515,"score_spread":0.24874221666479712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395059552","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":[0.18674135,0.035520386,0.0058082966,0.44787672,0.001572782,0.00029740078,0.0010819009,0.00024094184,0.32086027],"genre_scores_gemma":[0.8295767,0.020103721,0.0041672615,0.079232894,0.0003244521,0.000083215644,0.00044781136,0.00010142175,0.06596262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.97837114,0.0015612026,0.00056787976,0.0013505563,0.011307525,0.0068417834],"domain_scores_gemma":[0.9835692,0.0035805271,0.0010711942,0.00050117,0.008751532,0.0025262854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010826218,0.00029218846,0.00062847516,0.0026120127,0.019541796,0.016145336,0.0035844913,0.006514949,0.0050254064],"category_scores_gemma":[0.018349323,0.000637443,0.00079507957,0.0056220326,0.011573254,0.003299208,0.0032369369,0.0072221025,0.0003799014],"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":[0.000113881266,0.0001166416,0.023332372,0.0004866509,0.00007865301,0.0013016693,0.014809997,0.0018045064,0.001899633,0.69197965,0.13239339,0.13168287],"study_design_scores_gemma":[0.000103426144,0.00008601651,0.101959184,0.0010011083,0.00012648734,0.00035862916,0.026415462,0.0015942007,0.0009898593,0.02593621,0.8411199,0.00030956333],"about_ca_topic_score_codex":0.9964953,"about_ca_topic_score_gemma":0.9981712,"teacher_disagreement_score":0.2029646,"about_ca_system_score_codex":0.2029646,"about_ca_system_score_gemma":0.43960807,"threshold_uncertainty_score":0.9244481},"labels":[],"label_agreement":null},{"id":"W4396681444","doi":"10.1051/e3sconf/202452100001","title":"Preface","year":2024,"lang":"nl","type":"article","venue":"E3S Web of Conferences","topic":"Energy Efficiency and Management","field":"Energy","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":"Philosophy","score_opus":0.02089936162019563,"score_gpt":0.26078100910812607,"score_spread":0.23988164748793045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396681444","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018044636,0.012454486,0.006673428,0.057364646,0.4069252,0.0010074213,0.013037344,0.0017560893,0.4989769],"genre_scores_gemma":[0.008334648,0.007902815,0.0028249782,0.013569624,0.06804942,0.0005873031,0.011534916,0.0009609896,0.8862353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881256,0.00019317812,0.00009127289,0.00020028066,0.0005813935,0.000121245226],"domain_scores_gemma":[0.9922029,0.0011995307,0.00027228607,0.00044340568,0.004645496,0.0012364117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002254155,0.0009940279,0.0006715018,0.0022384438,0.0023500333,0.003990214,0.0013357138,0.001495768,0.43056786],"category_scores_gemma":[0.011906839,0.00027608735,0.00049189274,0.0013342942,0.0005385895,0.0028172226,0.0021252634,0.0036360212,0.26357102],"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":[0.000024706047,0.00001691702,0.00006976464,0.00008641271,0.0000010435684,0.00003865518,0.00006680914,0.00004155025,0.00012778181,0.0018700083,0.97425133,0.023404945],"study_design_scores_gemma":[0.0000029872003,0.000014427486,0.00019348774,0.000090633046,8.060808e-7,0.000043644628,0.00006588427,0.000017756201,0.000055028948,0.0008269056,0.9986852,0.0000033336073],"about_ca_topic_score_codex":0.002525188,"about_ca_topic_score_gemma":0.002546145,"teacher_disagreement_score":0.43056786,"about_ca_system_score_codex":0.0016748521,"about_ca_system_score_gemma":0.0024739737,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4399853819","doi":"10.1016/j.enpol.2024.114224","title":"Assessing the potential for energy efficiency improvements in Latin America and Caribbean","year":2024,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Latin Americans; Caribbean region; Energy (signal processing); Natural resource economics; Economics; Development economics; Geography; Political science; Physics","score_opus":0.010762541584732723,"score_gpt":0.28589593377462796,"score_spread":0.27513339218989524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399853819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86380124,0.005846644,0.0008511856,0.017245594,0.00007626355,0.00006490837,0.00083418854,0.000028432187,0.11125157],"genre_scores_gemma":[0.993469,0.0025169747,0.00053867843,0.00051363074,0.000017345936,0.00004465837,0.00019190637,0.00000881794,0.0026990375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919957,0.00030842796,0.000029639777,0.000043145454,0.00011928563,0.00030001934],"domain_scores_gemma":[0.99867815,0.00037866682,0.00018119802,0.00004740294,0.0005735986,0.00014103267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017652627,0.00038212503,0.00025217494,0.00085233146,0.0007949913,0.0031798433,0.00056621985,0.0009989286,0.0033365455],"category_scores_gemma":[0.0060280683,0.00013203593,0.00037426487,0.002238789,0.0006876391,0.0012430056,0.0015071529,0.0007488011,0.00012790143],"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":[0.0016855118,0.0005201026,0.4969113,0.0016090437,0.00088854705,0.002890837,0.008072169,0.04820622,0.009564644,0.22768676,0.017695043,0.1842699],"study_design_scores_gemma":[0.00022663912,0.00048754827,0.6722911,0.0016759753,0.0010017689,0.00035789056,0.075175986,0.021204343,0.0073306817,0.036302634,0.1838454,0.00010004657],"about_ca_topic_score_codex":0.25625545,"about_ca_topic_score_gemma":0.26862347,"teacher_disagreement_score":0.25625545,"about_ca_system_score_codex":0.006544533,"about_ca_system_score_gemma":0.0059166336,"threshold_uncertainty_score":0.50952774},"labels":[],"label_agreement":null},{"id":"W4401665171","doi":"10.1038/s41598-024-70118-x","title":"Analysis of proper ink management impact on overall environmental equipment efficiency for sustainability","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Energy Efficiency and Management","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":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Sustainability; Computer science; Business; Biology; Ecology","score_opus":0.008126192775800267,"score_gpt":0.2643698300702639,"score_spread":0.2562436372944636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401665171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95900196,0.0003948576,0.015601975,0.00017963184,0.0000202557,0.00011218113,0.0002614508,0.00010094805,0.024326796],"genre_scores_gemma":[0.99334174,0.0001865904,0.0038954613,0.000026429996,0.0000053179247,0.000025292611,0.00010815041,0.000036617228,0.002374353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838734,0.00039952892,0.00009156894,0.00015582402,0.0007546712,0.00021112467],"domain_scores_gemma":[0.9958075,0.0023673442,0.00046469335,0.00032753122,0.0009648415,0.0000679631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015730432,0.00035907706,0.00032697275,0.00093492866,0.00044113793,0.0019382945,0.000324013,0.0005094286,0.004719113],"category_scores_gemma":[0.004339816,0.00015310769,0.0006122123,0.0012824459,0.0005323498,0.0013774965,0.00047478775,0.00040387886,0.00057720806],"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":[0.0020776228,0.0016106023,0.31117752,0.0011369765,0.00039724534,0.00079498935,0.0008459527,0.12300575,0.2339584,0.016285606,0.0017167956,0.3069925],"study_design_scores_gemma":[0.000057808204,0.0020816769,0.37420997,0.00013607703,0.00045911424,0.00024055644,0.0035119408,0.12958859,0.46435764,0.009190085,0.01605982,0.00010677275],"about_ca_topic_score_codex":0.0018129582,"about_ca_topic_score_gemma":0.0026588077,"teacher_disagreement_score":0.004719113,"about_ca_system_score_codex":0.0011430978,"about_ca_system_score_gemma":0.0008996298,"threshold_uncertainty_score":0.015787005},"labels":[],"label_agreement":null},{"id":"W4401855708","doi":"10.1007/978-3-031-63901-2_61","title":"A Study on the Implementation of Dynamic Pricing Mechanisms for Sustainable Energy Management Using AI-Driven Demand Prediction","year":2024,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Dynamic pricing; Energy demand; Environmental economics; Computer science; Operations research; Economics; Microeconomics; Engineering","score_opus":0.005634556784116256,"score_gpt":0.20962004131426973,"score_spread":0.20398548453015347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401855708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3492542,0.0021081509,0.39286822,0.0031276823,0.00044984106,0.0003584196,0.00024286924,0.00045579698,0.25113484],"genre_scores_gemma":[0.9487351,0.0005510158,0.035822686,0.00020977964,0.0000504026,0.000050863597,0.0000658119,0.000048193488,0.014465998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991972,0.00034718734,0.000022581195,0.00008372538,0.00024855224,0.000100698766],"domain_scores_gemma":[0.9951592,0.0040562027,0.00008390987,0.00025208626,0.00037248293,0.00007615841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015112587,0.00028409212,0.0002740311,0.00030330027,0.00038685385,0.00178462,0.0012060266,0.0006990636,0.004838723],"category_scores_gemma":[0.005903794,0.00020461828,0.0003705289,0.0008496694,0.0007406655,0.002144055,0.0005676251,0.0012365804,0.00033889397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039012646,0.0006780228,0.0033783694,0.00023290016,0.0000748257,0.00022075078,0.0004925853,0.42725012,0.005361229,0.4021186,0.0057395156,0.15406305],"study_design_scores_gemma":[0.000025159234,0.000135381,0.0009105201,0.000021221203,0.000021640124,0.000038707858,0.00023984307,0.9509398,0.0018394632,0.04046398,0.0053516407,0.000012677876],"about_ca_topic_score_codex":0.012453851,"about_ca_topic_score_gemma":0.005698686,"teacher_disagreement_score":0.012453851,"about_ca_system_score_codex":0.0014193138,"about_ca_system_score_gemma":0.0014878255,"threshold_uncertainty_score":0.02476275},"labels":[],"label_agreement":null},{"id":"W4402079287","doi":"10.51594/estj.v5i8.1517","title":"Developing innovative software solutions for effective energy management systems in industry","year":2024,"lang":"en","type":"article","venue":"Engineering Science & Technology Journal","topic":"Energy Efficiency and Management","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":"TD Bank Group","funders":"","keywords":"Software; Energy management; Business; Engineering management; Energy (signal processing); Computer science; Engineering","score_opus":0.010767688353203585,"score_gpt":0.2470198352050101,"score_spread":0.23625214685180654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402079287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004650341,0.0029619783,0.95654064,0.0018938535,0.00036925182,0.00030383666,0.00026970648,0.012403524,0.020606782],"genre_scores_gemma":[0.049144905,0.00646842,0.92573625,0.0010471044,0.0002628604,0.0008595095,0.0018607423,0.0024109702,0.012209304],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972198,0.00059367326,0.0003576873,0.00037348815,0.001249254,0.0002060657],"domain_scores_gemma":[0.9970054,0.0012104486,0.00024565242,0.00054541085,0.00085253123,0.00014053618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035807975,0.0015926394,0.0007998823,0.0020410176,0.00065852766,0.0040321965,0.0031518554,0.0025480315,0.0079555195],"category_scores_gemma":[0.009905763,0.0012258021,0.0015426097,0.0018076152,0.0011172891,0.0059490446,0.0032713092,0.0033139216,0.005420659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008688743,0.00027550742,0.0020339428,0.0020954814,0.00017764955,0.00040062473,0.0009985777,0.04951098,0.013061795,0.14339289,0.032675657,0.75529015],"study_design_scores_gemma":[0.00013592903,0.00019983761,0.0011820226,0.0016712247,0.00013574146,0.00050518557,0.00038483026,0.17380708,0.017656181,0.14890984,0.6552671,0.00014500569],"about_ca_topic_score_codex":0.0017814195,"about_ca_topic_score_gemma":0.0012403664,"teacher_disagreement_score":0.0079555195,"about_ca_system_score_codex":0.0009837028,"about_ca_system_score_gemma":0.0022354268,"threshold_uncertainty_score":0.026613891},"labels":[],"label_agreement":null},{"id":"W4402126508","doi":"","title":"Üriner Taş Hastalığı Olan Hastalarda Malign Aritmi Riskinin Elektrokardiyografi Parametreleri ile Değerlendirilmesi","year":2023,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","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":"University of Waterloo","funders":"","keywords":"Medicine; Humanities; Art","score_opus":0.014944867179360779,"score_gpt":0.20743353095093198,"score_spread":0.1924886637715712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402126508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79493505,0.09149541,0.034193967,0.016863732,0.0021272313,0.0007711882,0.0055308077,0.0008986907,0.05318393],"genre_scores_gemma":[0.9424569,0.024048299,0.012317717,0.0016953086,0.00093110953,0.0005220845,0.0027702905,0.0001569832,0.015101196],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988084,0.0002793349,0.0001490818,0.00020576445,0.00039089707,0.00016660184],"domain_scores_gemma":[0.9975924,0.0007469821,0.00055389636,0.00013922423,0.0006977569,0.00026974452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020222417,0.0006565765,0.0012428962,0.001055481,0.0008234402,0.0025799407,0.00063826854,0.0011875113,0.011725804],"category_scores_gemma":[0.0055778567,0.00029824124,0.0017173054,0.0009742243,0.00073628256,0.0012876604,0.0009977549,0.0018326499,0.0019174818],"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":[0.0073634773,0.0011759141,0.28202897,0.004836539,0.0015190192,0.0043066633,0.0021242092,0.0033079116,0.02139187,0.007918809,0.030689387,0.6333372],"study_design_scores_gemma":[0.00062385446,0.00459733,0.75392014,0.0038897013,0.0030257786,0.016505735,0.00488308,0.008409679,0.026313227,0.015226684,0.1621591,0.00044575622],"about_ca_topic_score_codex":0.005365372,"about_ca_topic_score_gemma":0.005804626,"teacher_disagreement_score":0.011725804,"about_ca_system_score_codex":0.0012215512,"about_ca_system_score_gemma":0.0021782583,"threshold_uncertainty_score":0.03922677},"labels":[],"label_agreement":null},{"id":"W4402192831","doi":"10.2139/ssrn.4944953","title":"Split Incentives and Energy Efficiency Investment: Evidence from the Housing Market","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Incentive; Investment (military); Business; Industrial organization; Energy (signal processing); Efficient energy use; Natural resource economics; Economics; Microeconomics; Monetary economics; Market economy; Electrical engineering; Engineering; Political science","score_opus":0.011642111376438708,"score_gpt":0.23628769925379972,"score_spread":0.22464558787736102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402192831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98049116,0.0022832074,0.0008900876,0.0028488087,0.000048927,0.00002221753,0.00057440705,0.000020345688,0.012820696],"genre_scores_gemma":[0.99675226,0.00058151816,0.00008314557,0.00015598867,0.000050632934,0.0000056452504,0.0003615611,0.0000058668807,0.002003365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992964,0.00023400913,0.00003559127,0.00007206185,0.00017178092,0.00019014342],"domain_scores_gemma":[0.98077387,0.009634628,0.006808896,0.0007624761,0.0008647752,0.0011553986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020737841,0.00028683548,0.0007698345,0.0006613246,0.0006015716,0.0024095674,0.0007095798,0.0016465466,0.01566353],"category_scores_gemma":[0.01224913,0.00033375603,0.0004478938,0.00123358,0.001525753,0.002644354,0.001102168,0.0016001444,0.0010472459],"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":[0.014282851,0.00436265,0.68144256,0.0008025767,0.0012309891,0.0012350695,0.001570512,0.01955757,0.0028008635,0.13829169,0.021828704,0.11259396],"study_design_scores_gemma":[0.0013334254,0.0012383003,0.90987897,0.00015455816,0.00043705993,0.00016688248,0.0027525725,0.0129312705,0.0017328879,0.0508958,0.018397177,0.00008123854],"about_ca_topic_score_codex":0.007696277,"about_ca_topic_score_gemma":0.010600284,"teacher_disagreement_score":0.01566353,"about_ca_system_score_codex":0.0008970547,"about_ca_system_score_gemma":0.0007134747,"threshold_uncertainty_score":0.052399755},"labels":[],"label_agreement":null},{"id":"W4403512716","doi":"10.2139/ssrn.4953855","title":"Mixology: Order Flow Segmentation Design","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Order (exchange); Flow (mathematics); Computer science; Segmentation; Business; Mathematics; Artificial intelligence; Geometry","score_opus":0.01315105027742366,"score_gpt":0.2553444475239838,"score_spread":0.2421933972465601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403512716","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":[0.0068001966,0.00010284974,0.9835224,0.00018030459,0.000052129268,0.00014507236,0.0001445338,0.0015015864,0.0075508975],"genre_scores_gemma":[0.26764598,0.0002387433,0.7164029,0.00024953313,0.00009431667,0.000416735,0.00057961175,0.0009975473,0.013374617],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990459,0.00027348346,0.000059535534,0.00021631496,0.0002968015,0.00010796389],"domain_scores_gemma":[0.9987005,0.00045737633,0.00010072035,0.00035126036,0.00027152922,0.0001185286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015883293,0.0007370077,0.00065991457,0.0011412547,0.00087061257,0.0028545044,0.0013354886,0.00093668076,0.023657808],"category_scores_gemma":[0.004492004,0.00070756173,0.0007565615,0.0013121245,0.0009349777,0.0031713336,0.002063788,0.0014076674,0.002878467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008990475,0.00026409246,0.0015554086,0.0003870921,0.00007923031,0.00012450253,0.00039986885,0.08872327,0.015727913,0.37810874,0.013393333,0.5003374],"study_design_scores_gemma":[0.00016396667,0.00022071955,0.00038976545,0.00006913351,0.00006250656,0.00008258605,0.00015160287,0.6671817,0.021003418,0.27663094,0.034009106,0.00003455751],"about_ca_topic_score_codex":0.0011260428,"about_ca_topic_score_gemma":0.0017541276,"teacher_disagreement_score":0.023657808,"about_ca_system_score_codex":0.0011923492,"about_ca_system_score_gemma":0.0017367764,"threshold_uncertainty_score":0.079143226},"labels":[],"label_agreement":null},{"id":"W4403924105","doi":"10.18280/mmep.111011","title":"Integrating Energy Efficiency and Occupancy Control in Shared Public Buildings: A Data-Driven Approach","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Energy Efficiency and Management","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Regione Toscana","keywords":"Occupancy; Control (management); Post-occupancy evaluation; Efficient energy use; Computer science; Architectural engineering; Energy (signal processing); Environmental science; Engineering; Statistics; Artificial intelligence; Mathematics; Electrical engineering","score_opus":0.03336738729333206,"score_gpt":0.22573035022789956,"score_spread":0.1923629629345675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403924105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034074143,0.00033027376,0.9589181,0.0005311965,0.000056066805,0.00008964561,0.00018080801,0.00020321598,0.005616485],"genre_scores_gemma":[0.9427738,0.00022998877,0.05436252,0.00006569493,0.00006791016,0.00010732408,0.00018190504,0.00009194906,0.0021189076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848926,0.000538897,0.0000661243,0.00027657283,0.00039677988,0.00023234259],"domain_scores_gemma":[0.9980792,0.00109016,0.00019658449,0.0001785561,0.00032781006,0.00012774479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022835406,0.0009059626,0.001440875,0.0010162441,0.00053634256,0.0030768334,0.0024078542,0.0012922327,0.0025125782],"category_scores_gemma":[0.0040778224,0.00073853554,0.0013032604,0.0011125751,0.0011871742,0.0024185611,0.002220484,0.001037684,0.00024200154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047023605,0.000081817285,0.0012537506,0.00006495158,0.000052870466,0.00006164724,0.000075129035,0.96038383,0.00057747075,0.02192367,0.00031279356,0.015164946],"study_design_scores_gemma":[0.0000034562654,0.00001626471,0.00024305972,0.000007414667,0.000009351811,0.000012268411,0.00004524516,0.989881,0.00025998979,0.008995055,0.00051988265,0.0000070329716],"about_ca_topic_score_codex":0.010144001,"about_ca_topic_score_gemma":0.009199433,"teacher_disagreement_score":0.010144001,"about_ca_system_score_codex":0.0018831894,"about_ca_system_score_gemma":0.0017618529,"threshold_uncertainty_score":0.020169914},"labels":[],"label_agreement":null},{"id":"W4404450192","doi":"10.1016/j.eng.2024.11.005","title":"Dynamic Cost–Benefit Analysis of Digitalization in the Energy Industry","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Energy Efficiency and Management","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":"University of British Columbia","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Horizon 2020 Framework Programme","keywords":"Energy (signal processing); Business; Manufacturing engineering; Industrial organization; Operations management; Engineering; Computer science; Mathematics; Statistics","score_opus":0.005339099636268839,"score_gpt":0.2136934260101196,"score_spread":0.20835432637385076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404450192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35971734,0.003010698,0.5503312,0.0035777956,0.00011237572,0.00075456034,0.0005974787,0.00010855751,0.08179004],"genre_scores_gemma":[0.9684193,0.0011786947,0.028105695,0.00007921536,0.0000212222,0.00019453192,0.00008515565,0.000014570386,0.0019014372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99716514,0.0017103417,0.00008008855,0.00017951863,0.00063801307,0.00022688671],"domain_scores_gemma":[0.99130017,0.007199773,0.00050693145,0.00033846582,0.00051917596,0.00013556326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056957905,0.00088750303,0.000661869,0.0028337366,0.00072240527,0.0038971861,0.0011198369,0.0013516569,0.0045087417],"category_scores_gemma":[0.011163957,0.00051484175,0.00096663594,0.002289321,0.0017532428,0.0049217353,0.0020960695,0.0016226835,0.00017525376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010479089,0.00011511804,0.0037262426,0.00022095257,0.00010396538,0.0001565117,0.00015257849,0.6861288,0.0011594654,0.2645835,0.00050805055,0.043039963],"study_design_scores_gemma":[0.000029513027,0.0002770987,0.0038233914,0.00019975351,0.00017385084,0.00013934991,0.0006894839,0.7584046,0.0013776632,0.22932875,0.005479762,0.000076741824],"about_ca_topic_score_codex":0.0047684014,"about_ca_topic_score_gemma":0.0046296916,"teacher_disagreement_score":0.0056957905,"about_ca_system_score_codex":0.00559732,"about_ca_system_score_gemma":0.0027234138,"threshold_uncertainty_score":0.040611625},"labels":[],"label_agreement":null},{"id":"W4404598996","doi":"","title":"Modeling of the Maximum Entropy Problem as an Optimal Control Problem and its Application to Pdf Estimation of Electricity Price","year":2013,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Energy Efficiency and Management","field":"Energy","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":"Principle of maximum entropy; Estimation; Mathematical optimization; Electricity price; Optimal control; Maximum entropy method; Electricity; Control (management); Computer science; Econometrics; Mathematics; Economics; Engineering; Artificial intelligence; Electrical engineering; Statistical physics","score_opus":0.05791184435581334,"score_gpt":0.41904743141789497,"score_spread":0.3611355870620816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404598996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027779997,0.00015141797,0.9954176,0.00018645557,0.000023638862,0.000014115273,0.000011322423,0.000031110885,0.001386435],"genre_scores_gemma":[0.76383996,0.0013019532,0.22855592,0.00019261402,0.00029839657,0.00027772825,0.00013371612,0.00009257794,0.005307115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999073,0.00045621413,0.000038069746,0.00016227597,0.00021186689,0.000058512356],"domain_scores_gemma":[0.99689925,0.0025918514,0.00018465707,0.00008322288,0.0002002288,0.000040826828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021228096,0.00080533925,0.00096470147,0.00073030253,0.00054312346,0.0014178893,0.0008127232,0.0013450411,0.0019812577],"category_scores_gemma":[0.0072093885,0.000512474,0.0008755144,0.00058194215,0.0015558862,0.002179408,0.0009622639,0.0014368814,0.00017716932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019010067,0.000025788802,0.00032078236,0.00007188556,0.000025786834,0.00007468446,0.00005883916,0.90709275,0.00077662995,0.07535315,0.00045555664,0.015725054],"study_design_scores_gemma":[0.0000030825408,0.000008977266,0.00008121038,0.0000066994094,0.0000038383155,0.000013103717,0.000004926145,0.98329836,0.00020187747,0.016120162,0.0002508771,0.000006864537],"about_ca_topic_score_codex":0.004761125,"about_ca_topic_score_gemma":0.0027296203,"teacher_disagreement_score":0.004761125,"about_ca_system_score_codex":0.0010918014,"about_ca_system_score_gemma":0.0014143742,"threshold_uncertainty_score":0.011226594},"labels":[],"label_agreement":null},{"id":"W4405300596","doi":"","title":"Equitable Energy Metrics for Integration into Building Performance Standard Tracking Platforms: Preprint","year":2024,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Energy Efficiency and Management","field":"Energy","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":"Office of Energy Efficiency; Lawrence Berkeley National Laboratory; Office of Energy Efficiency and Renewable Energy; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Preprint; Computer science; Tracking (education); Database; World Wide Web; Psychology","score_opus":0.018432366406342177,"score_gpt":0.26086453620894556,"score_spread":0.24243216980260338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405300596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01852279,0.00035837555,0.35155076,0.0045914655,0.0013842583,0.0025259454,0.33269197,0.14268512,0.14568934],"genre_scores_gemma":[0.06511673,0.00065368274,0.4661865,0.0005615165,0.00034227048,0.0016034041,0.4030417,0.019380324,0.043113932],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958177,0.00055903493,0.00041585672,0.0004809878,0.0025650894,0.0001613036],"domain_scores_gemma":[0.99070287,0.0019309688,0.0005272004,0.0036099236,0.0027985205,0.00043054522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009625476,0.0009979369,0.0006415402,0.004092691,0.0009539097,0.006716834,0.0016511133,0.000901838,0.037319794],"category_scores_gemma":[0.0226563,0.000814969,0.0008010265,0.0059592775,0.00054011296,0.006344453,0.004389754,0.001677193,0.022619406],"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":[0.00019762143,0.0003578861,0.01599053,0.0003958481,0.000072046474,0.00021198651,0.0008256802,0.01063724,0.0035549204,0.052799407,0.59965956,0.31529728],"study_design_scores_gemma":[0.000093804185,0.000083193765,0.013480392,0.00030469286,0.000020883666,0.000114387054,0.00040219884,0.043200232,0.010213372,0.04988114,0.8820657,0.000139995],"about_ca_topic_score_codex":0.017008828,"about_ca_topic_score_gemma":0.017134072,"teacher_disagreement_score":0.037319794,"about_ca_system_score_codex":0.0023898135,"about_ca_system_score_gemma":0.004610452,"threshold_uncertainty_score":0.12484717},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W4405315659","doi":"10.1016/j.eneco.2024.108108","title":"Distributional effects of energy costs: Does firm ownership structure matter?","year":2024,"lang":"en","type":"article","venue":"Energy Economics","topic":"Energy Efficiency and Management","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":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Economics; Business; Industrial organization; Energy (signal processing); Microeconomics; Natural resource economics; Econometrics; Physics","score_opus":0.0032930520648317804,"score_gpt":0.18541116635413066,"score_spread":0.1821181142892989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405315659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98871255,0.00073599385,0.0019523454,0.0015781862,0.000018582776,0.00002368162,0.0002765776,0.0000119711285,0.00669009],"genre_scores_gemma":[0.9994499,0.000064880245,0.00006231796,0.000039208724,0.000011984631,0.0000023532482,0.00005686243,0.0000026980279,0.00030975227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838686,0.0005447823,0.00009092824,0.00030626066,0.000277522,0.00039368967],"domain_scores_gemma":[0.983294,0.008163567,0.0057649007,0.0009203798,0.00081017526,0.0010469215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013115236,0.00018933178,0.0004827614,0.0007059749,0.0005556928,0.001545345,0.0007978669,0.0006120498,0.00972656],"category_scores_gemma":[0.012351063,0.00012436106,0.00059505727,0.0010627907,0.0017705348,0.0023442851,0.0014360968,0.00086978875,0.00042972656],"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":[0.00017534284,0.000158657,0.96468705,0.000037414873,0.00027303628,0.0003194819,0.0004232671,0.0027766437,0.00037854695,0.011908715,0.00065990584,0.018201925],"study_design_scores_gemma":[0.000021257782,0.000118559365,0.978918,0.00005237531,0.00016229456,0.00013531385,0.0017096605,0.0046141758,0.00038570788,0.012002608,0.0018650832,0.000014945707],"about_ca_topic_score_codex":0.0102602355,"about_ca_topic_score_gemma":0.012399885,"teacher_disagreement_score":0.0102602355,"about_ca_system_score_codex":0.0008808643,"about_ca_system_score_gemma":0.000576523,"threshold_uncertainty_score":0.032538593},"labels":[],"label_agreement":null},{"id":"W4407582984","doi":"10.3390/machines13020148","title":"Comparison of Automation-Supported and Conventional Methods for Measuring Energy Consumption in Computer Numerical Control Machining","year":2025,"lang":"en","type":"article","venue":"Machines","topic":"Energy Efficiency and Management","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":"University of Calgary","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Automation; Machining; Energy consumption; Numerical control; Manufacturing engineering; Consumption (sociology); Control (management); Computer science; Industrial engineering; Engineering; Mechanical engineering; Artificial intelligence; Sociology; Electrical engineering; Social science","score_opus":0.030464001339711447,"score_gpt":0.3644555587995986,"score_spread":0.3339915574598872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407582984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5732865,0.0022589124,0.41744614,0.00012620716,0.0001712864,0.00029123214,0.00028504574,0.0005865499,0.0055482327],"genre_scores_gemma":[0.8213779,0.00077168545,0.17559126,0.000043849774,0.000037875892,0.00027953033,0.0001710237,0.000045572902,0.0016813802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963793,0.00062669674,0.00017387058,0.00029035707,0.002460795,0.000068908645],"domain_scores_gemma":[0.9976981,0.0011129515,0.00031352983,0.00024900227,0.0006009668,0.000025370002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014360489,0.0005153492,0.00037982315,0.0013507772,0.00020379797,0.00052559085,0.0008968009,0.00037284452,0.00073209545],"category_scores_gemma":[0.003219736,0.00021521252,0.00024771114,0.0016520859,0.00035768465,0.0006185984,0.0003243607,0.00032574998,0.00022390214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009136378,0.00046200637,0.019610198,0.0010708262,0.00008578967,0.000096406984,0.00039852152,0.011605142,0.5486012,0.0015996234,0.0008374256,0.41471925],"study_design_scores_gemma":[0.00009274064,0.0029508115,0.09507235,0.000076905155,0.00018645647,0.0007008277,0.0003192904,0.12263286,0.76495546,0.00087710214,0.011960302,0.00017486005],"about_ca_topic_score_codex":0.0008235482,"about_ca_topic_score_gemma":0.0026214297,"teacher_disagreement_score":0.0014360489,"about_ca_system_score_codex":0.00040281264,"about_ca_system_score_gemma":0.00032155728,"threshold_uncertainty_score":0.007594645},"labels":[],"label_agreement":null},{"id":"W4409181113","doi":"10.1016/j.jenvman.2025.125106","title":"An income-tailored energy efficiency rebate policy: Multi-dimensional benefit evaluation approach for upgrading heating furnaces in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Energy Efficiency and Management","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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Efficient energy use; Environmental economics; Business; Environmental science; Natural resource economics; Economics; Engineering","score_opus":0.010580718897060547,"score_gpt":0.23721775101698458,"score_spread":0.22663703211992403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409181113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73489666,0.0030366075,0.13576998,0.008521214,0.000111139954,0.006850397,0.005682928,0.0003506831,0.104780376],"genre_scores_gemma":[0.9586789,0.0005537234,0.033780057,0.00018927843,0.000013803531,0.000549176,0.00045982338,0.000019904874,0.005755285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964552,0.0017171998,0.000102429556,0.00018619851,0.0006529906,0.0008860284],"domain_scores_gemma":[0.9979436,0.0007473267,0.00014405813,0.000044174685,0.0008503918,0.00027050858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005460062,0.0011231562,0.0012423245,0.002297795,0.0019305099,0.0032708955,0.002210548,0.001407597,0.0036252094],"category_scores_gemma":[0.005647781,0.00069597195,0.0011860902,0.001764374,0.0013383032,0.0009788339,0.001529369,0.00094800466,0.00009296482],"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":[0.00042580214,0.0002440058,0.013597494,0.00035389763,0.00022564115,0.0004568408,0.00042980566,0.92354256,0.0009692311,0.022785267,0.004204184,0.032765288],"study_design_scores_gemma":[0.0001535702,0.0001641118,0.012648194,0.00012000986,0.00017246253,0.000029426123,0.0016028509,0.972361,0.00041776535,0.007599225,0.0046517923,0.00007946113],"about_ca_topic_score_codex":0.93276244,"about_ca_topic_score_gemma":0.94128084,"teacher_disagreement_score":0.083337866,"about_ca_system_score_codex":0.083337866,"about_ca_system_score_gemma":0.06306234,"threshold_uncertainty_score":0.60466135},"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":"W4409695106","doi":"10.3390/architecture5020029","title":"A Cloud-Based Framework for Creating Scalable Machine Learning Models Predicting Building Energy Consumption from Digital Twin Data","year":2025,"lang":"en","type":"article","venue":"Architecture","topic":"Energy Efficiency and Management","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":"University of New Brunswick","funders":"European Regional Development Fund","keywords":"Cloud computing; Computer science; Scalability; Energy consumption; Big data; Machine learning; Artificial intelligence; Distributed computing; Data science; Data mining; Database; Operating system; Engineering","score_opus":0.027299016964100697,"score_gpt":0.2688007939968865,"score_spread":0.2415017770327858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409695106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014218137,0.00031298507,0.9772478,0.0003018618,0.000096620315,0.00015465067,0.0007007257,0.0054571484,0.0015100309],"genre_scores_gemma":[0.44678137,0.00051151443,0.5473528,0.00022368522,0.00009473817,0.0003409441,0.0027004345,0.0004316459,0.0015629608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995579,0.00007748382,0.000037697,0.00012240977,0.00013899445,0.00006557823],"domain_scores_gemma":[0.99929476,0.00022492792,0.00006933829,0.00014267757,0.00018398903,0.00008428123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009018007,0.00094691594,0.00087624975,0.0006517202,0.00060274603,0.0012695743,0.0022822602,0.0007779273,0.0018883987],"category_scores_gemma":[0.0026449917,0.0004890642,0.0013349641,0.000984777,0.00044036438,0.0016106042,0.001570721,0.0015706111,0.00073122844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015545428,0.00018457873,0.0035008737,0.000121773475,0.00012618076,0.0003376653,0.00009336989,0.91199,0.004016636,0.012977432,0.0057867747,0.06070923],"study_design_scores_gemma":[0.000005578583,0.0000055066803,0.00012093562,0.0000030781168,0.000004699928,0.000010697369,0.000007389661,0.9971945,0.00037070515,0.0015832304,0.00068980095,0.0000037983505],"about_ca_topic_score_codex":0.03765922,"about_ca_topic_score_gemma":0.039859172,"teacher_disagreement_score":0.03765922,"about_ca_system_score_codex":0.0011146703,"about_ca_system_score_gemma":0.0019974816,"threshold_uncertainty_score":0.07488006},"labels":[],"label_agreement":null},{"id":"W4412490456","doi":"10.1109/tcyb.2025.3579361","title":"EKG-AC: A New Paradigm for Process Industrial Optimization Based on Offline Reinforcement Learning With Expert Knowledge Guidance","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Energy Efficiency and Management","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 Alberta","funders":"Hunan Provincial Innovation Foundation for Postgraduate; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Profitability index; Process (computing); Interdependence; Subject-matter expert; Machine learning; Adaptability; Domain knowledge; Expert system","score_opus":0.024801231871604486,"score_gpt":0.27747930292416934,"score_spread":0.25267807105256485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412490456","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":[0.002222591,0.00012204889,0.99566615,0.00009038276,0.000027914142,0.000027249653,0.000011174867,0.00018850827,0.0016438856],"genre_scores_gemma":[0.701265,0.000486791,0.2927095,0.00029446982,0.000127346,0.00030883047,0.00011078877,0.00016234159,0.0045349794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994856,0.00016446353,0.000028387756,0.00012404894,0.00015341565,0.00004400591],"domain_scores_gemma":[0.99922085,0.00043140835,0.00010431096,0.000076901175,0.00012945263,0.000037016467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011717109,0.0011537798,0.0010664694,0.0004393129,0.0002724298,0.001015628,0.0015581909,0.0010842233,0.0015972119],"category_scores_gemma":[0.0022558705,0.00045165967,0.0005450524,0.00039706926,0.001158526,0.0009536144,0.0012229512,0.0020799746,0.00038540867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004102407,0.000039833736,0.00033970262,0.0000654492,0.000037051344,0.000049646034,0.000045973575,0.94457424,0.0015244834,0.012068993,0.00071203837,0.040501595],"study_design_scores_gemma":[0.000005365722,0.000017505641,0.000026467362,0.0000038883863,0.0000026965058,0.00000709434,0.0000016841731,0.9969837,0.00020389578,0.0023658269,0.00037921246,0.0000026172745],"about_ca_topic_score_codex":0.003972547,"about_ca_topic_score_gemma":0.0030994993,"teacher_disagreement_score":0.003972547,"about_ca_system_score_codex":0.000689283,"about_ca_system_score_gemma":0.0011009024,"threshold_uncertainty_score":0.007898867},"labels":[],"label_agreement":null},{"id":"W4412621758","doi":"10.1186/s42162-026-00673-2","title":"Activating the Electrical Energy Flexibility of Residential Thermal Systems an Analysis of Non-Technical Barriers in Six Countries","year":2025,"lang":"en","type":"preprint","venue":"Energy Informatics","topic":"Energy Efficiency and Management","field":"Energy","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":"Flexibility (engineering); Thermal; Business; Environmental economics; Environmental science; Economics; Physics; Thermodynamics","score_opus":0.009462173948381813,"score_gpt":0.2667488430251802,"score_spread":0.25728666907679837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412621758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819672,0.0047662426,0.0017653229,0.0002271518,0.000008408894,0.00010243505,0.00049003866,0.000008079085,0.010665075],"genre_scores_gemma":[0.9981968,0.0009687183,0.00048843765,0.000021041556,9.570311e-7,0.000029122795,0.00011425808,0.00000294313,0.0001778358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99565804,0.0021234592,0.00038550806,0.00030319506,0.0008914493,0.00063835084],"domain_scores_gemma":[0.98015594,0.014611147,0.0028060465,0.0003830174,0.0017695066,0.00027441554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00600768,0.00027783992,0.00060025114,0.0042734416,0.0006936283,0.0029508728,0.00034683934,0.00058423635,0.0014099026],"category_scores_gemma":[0.009607991,0.00030399536,0.0007465514,0.0071969694,0.0011599483,0.0014721355,0.0014806491,0.00052470283,0.000076285214],"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":[0.0014883755,0.0005858874,0.5914969,0.022015339,0.0017076682,0.004320617,0.0660546,0.045586947,0.0060774707,0.084373094,0.0022523021,0.17404078],"study_design_scores_gemma":[0.000050097195,0.0006104764,0.791971,0.007922787,0.001016343,0.0006361544,0.14815673,0.0068106465,0.0037306948,0.004403472,0.034579884,0.00011165959],"about_ca_topic_score_codex":0.016787363,"about_ca_topic_score_gemma":0.014636466,"teacher_disagreement_score":0.016787363,"about_ca_system_score_codex":0.0035278678,"about_ca_system_score_gemma":0.0028304185,"threshold_uncertainty_score":0.033379257},"labels":[],"label_agreement":null},{"id":"W4412979833","doi":"10.1016/j.gloei.2025.07.003","title":"Renewable energy finance, policy, and building energy technologies: trends, case studies, and innovations in North America","year":2025,"lang":"en","type":"article","venue":"Global Energy Interconnection","topic":"Energy Efficiency and Management","field":"Energy","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":"Green Municipal Fund","keywords":"Renewable energy; Energy engineering; Natural resource economics; Energy policy; Economics; Feed-in tariff; Business; Environmental economics; Finance; Engineering","score_opus":0.009818003870953412,"score_gpt":0.2707016113286149,"score_spread":0.2608836074576615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412979833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9093545,0.019522516,0.00047443714,0.013111679,0.000057262187,0.000017294513,0.00058379,0.000027582286,0.05685091],"genre_scores_gemma":[0.9786466,0.015617322,0.0003505824,0.0009816024,0.00004907511,0.000020784626,0.000377714,0.000007894191,0.0039483346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958843,0.00008500426,0.000016552618,0.000043243574,0.0001308664,0.0001359611],"domain_scores_gemma":[0.99873763,0.00049431657,0.00034581058,0.000035644887,0.00023654784,0.00014996342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007012733,0.0001231603,0.00012558744,0.0017260688,0.0009190995,0.0018945534,0.00023559383,0.0004593311,0.0015650481],"category_scores_gemma":[0.0015478559,0.00010438719,0.00012451081,0.0058137192,0.0012272501,0.0015715378,0.0009160832,0.00072044076,0.00008737584],"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":[0.000156863,0.0005123857,0.42360777,0.0005642821,0.000063054846,0.0013509303,0.02011452,0.0039598877,0.0010733092,0.16881008,0.04101651,0.33877036],"study_design_scores_gemma":[0.000017709413,0.00007495953,0.7530706,0.0006366203,0.000035790446,0.00038398846,0.029805975,0.0018092152,0.00085916254,0.008794812,0.20446742,0.000043759253],"about_ca_topic_score_codex":0.20181577,"about_ca_topic_score_gemma":0.29926822,"teacher_disagreement_score":0.20181577,"about_ca_system_score_codex":0.007109786,"about_ca_system_score_gemma":0.0039004155,"threshold_uncertainty_score":0.4012822},"labels":[],"label_agreement":null},{"id":"W569549998","doi":"10.1520/stp10245s","title":"Potential Implications of Inappropriate Assumption Selection on Environmental Modelling Results: An RBCA Case Study","year":2000,"lang":"en","type":"book-chapter","venue":"","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":"Technical University of Nova Scotia; Cantox Health Sciences International","funders":"","keywords":"Selection (genetic algorithm); Computer science; Artificial intelligence","score_opus":0.024606109104656434,"score_gpt":0.238951809952474,"score_spread":0.21434570084781757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W569549998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45706132,0.0014936051,0.4040158,0.020019831,0.00019280543,0.00080189935,0.0020648986,0.0013904735,0.11295932],"genre_scores_gemma":[0.730311,0.0007653026,0.25224805,0.0012341568,0.000053337815,0.0005320784,0.0010305523,0.00045712362,0.013368345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98708993,0.008568774,0.00039084879,0.00044436072,0.0031593756,0.0003466645],"domain_scores_gemma":[0.9595281,0.034550223,0.0009623472,0.0020588383,0.0026150255,0.00028545418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018976757,0.0008153446,0.00094311143,0.0010132075,0.0018654632,0.0035258704,0.0032487696,0.003222766,0.0027568017],"category_scores_gemma":[0.03467338,0.00050304615,0.0010147773,0.0024915612,0.0016124939,0.002345008,0.003156859,0.0028256408,0.0007975967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007502068,0.0006323522,0.019702777,0.0004914152,0.00017750857,0.007853134,0.004982949,0.5978408,0.003565892,0.21272796,0.025012063,0.12626296],"study_design_scores_gemma":[0.00015349437,0.00032440142,0.0043657064,0.00033249936,0.0001321972,0.0022248598,0.0038121731,0.80231464,0.013295284,0.10373414,0.06910959,0.00020100766],"about_ca_topic_score_codex":0.017292233,"about_ca_topic_score_gemma":0.015680714,"teacher_disagreement_score":0.018976757,"about_ca_system_score_codex":0.0037093528,"about_ca_system_score_gemma":0.0019253624,"threshold_uncertainty_score":0.10035992},"labels":[],"label_agreement":null},{"id":"W577594229","doi":"","title":"Role of training in environmental management in the electricity industry of Canada","year":2002,"lang":"en","type":"book","venue":"UMI Dessertation Services eBooks","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Electricity; Electric power industry; Business; Industrial organization; Environmental resource management; Natural resource economics; Engineering; Economics; Geography; Meteorology; Electrical engineering","score_opus":0.008148189481847885,"score_gpt":0.1910313589451884,"score_spread":0.18288316946334052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W577594229","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":[0.07859807,0.036022373,0.001825931,0.06902163,0.0015533763,0.00010401987,0.00048812843,0.00017624433,0.81221026],"genre_scores_gemma":[0.35246286,0.021546058,0.00198327,0.0033989763,0.00015447041,0.000032685908,0.00032872925,0.000056883044,0.620036],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9994659,0.00006208203,0.000008516711,0.000026539383,0.00018869805,0.00024826633],"domain_scores_gemma":[0.9984586,0.00021365854,0.000036270565,0.000018581119,0.000546595,0.0007263226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006769455,0.00018596936,0.00013698149,0.0007383476,0.004223406,0.0026573667,0.00091512187,0.0011454882,0.009092676],"category_scores_gemma":[0.001339579,0.00012354163,0.00012482227,0.0013542869,0.0013121977,0.0006443417,0.00070851383,0.0010963117,0.0005211145],"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":[0.000062668114,0.00019480732,0.011222988,0.00028665861,0.000008520446,0.0006261489,0.010128835,0.0024555188,0.0009221334,0.116778634,0.40164268,0.45567042],"study_design_scores_gemma":[0.000007748836,0.0000273089,0.026744777,0.00041696738,0.000007822661,0.00016751736,0.00798549,0.0010416488,0.00043000217,0.0026463016,0.96050745,0.000017046761],"about_ca_topic_score_codex":0.97209835,"about_ca_topic_score_gemma":0.99121666,"teacher_disagreement_score":0.037984826,"about_ca_system_score_codex":0.037984826,"about_ca_system_score_gemma":0.109349996,"threshold_uncertainty_score":0.2756005},"labels":[],"label_agreement":null},{"id":"W6893524504","doi":"10.5281/zenodo.16884431","title":"Energy Management Material","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","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":"Chemistry Industry Association of Canada","funders":"","keywords":"Energy management; Renewable energy; Process (computing); Energy (signal processing); Task (project management); Energy management system; Energy conservation; Grid; Energy flow","score_opus":0.01401179881313462,"score_gpt":0.22199959939518019,"score_spread":0.20798780058204558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893524504","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":[0.0016414229,0.0034693324,0.027615124,0.0038912175,0.0041124467,0.00086840085,0.015956964,0.0049314634,0.9375136],"genre_scores_gemma":[0.014698647,0.0039182957,0.014015833,0.0017600879,0.00078528957,0.00063944317,0.01825132,0.0014300008,0.94450116],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882454,0.00013326482,0.00009889762,0.00016706818,0.00066743256,0.00010876186],"domain_scores_gemma":[0.9982796,0.0003254078,0.00009490086,0.00040820887,0.00073812116,0.00015391213],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010740319,0.0012623342,0.000988945,0.0037703575,0.0022495878,0.0038449701,0.0029632447,0.0022740935,0.67770344],"category_scores_gemma":[0.0032092258,0.00054081413,0.0006925981,0.0040999954,0.00050065335,0.0038331773,0.0031244652,0.0013958858,0.37983462],"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":[0.00012074331,0.00017995453,0.0002374666,0.0009630008,0.000011344747,0.00022413116,0.00011934241,0.001375702,0.002136744,0.03387923,0.69834244,0.26240984],"study_design_scores_gemma":[0.000009054735,0.000018859813,0.000096648604,0.00008665096,0.0000036846975,0.00008233661,0.00003741779,0.00024992926,0.0005498035,0.0041227676,0.9947353,0.000007462605],"about_ca_topic_score_codex":0.0012835902,"about_ca_topic_score_gemma":0.001934309,"teacher_disagreement_score":0.67770344,"about_ca_system_score_codex":0.0013296163,"about_ca_system_score_gemma":0.0020092805,"threshold_uncertainty_score":0.45971692},"labels":[],"label_agreement":null},{"id":"W6921312087","doi":"10.6084/m9.figshare.23167760","title":"Additional file 2 of A combination of genetically engineered oncolytic virus and melittin-CpG for cancer viro-chemo-immunotherapy","year":2023,"lang":"en","type":"other","venue":"Figshare","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":"University of British Columbia","funders":"","keywords":"Oncolytic virus; Genetically engineered; Cancer; Virus; Mutation; Genetically modified organism","score_opus":0.017359883123484104,"score_gpt":0.24519566210623853,"score_spread":0.22783577898275442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921312087","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008507759,0.000027339114,0.0002994683,0.0001088759,0.000032623047,0.000086018015,0.9963812,0.0005290453,0.002450368],"genre_scores_gemma":[0.0066513354,0.00027880137,0.004557247,0.00093822164,0.000120151126,0.0019557965,0.9598159,0.0036379946,0.022044562],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920005,0.00015026225,0.00011291524,0.00019198206,0.00022265191,0.00012220231],"domain_scores_gemma":[0.9813059,0.014354199,0.00064909575,0.000973503,0.0022171894,0.0005001312],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018729094,0.0010764392,0.0012904763,0.0019176999,0.000972663,0.0023610776,0.0019159091,0.0014976662,0.9231693],"category_scores_gemma":[0.024214316,0.0008279573,0.0011139144,0.0033810218,0.00032840544,0.0022273022,0.0011215408,0.0012711152,0.32758185],"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":[0.0003026644,0.00006273227,0.00062958716,0.0023099936,0.000029384311,0.000046289373,0.000035961366,0.00038876227,0.0000924401,0.0009970521,0.9880391,0.0070660864],"study_design_scores_gemma":[0.003050182,0.00014763774,0.005821885,0.0019360578,0.00011297293,0.00019540197,0.00016645122,0.00083506346,0.0007024509,0.010506892,0.9764396,0.00008544886],"about_ca_topic_score_codex":0.007700951,"about_ca_topic_score_gemma":0.012367093,"teacher_disagreement_score":0.9231693,"about_ca_system_score_codex":0.0013221307,"about_ca_system_score_gemma":0.0021378642,"threshold_uncertainty_score":0.10958964},"labels":[],"label_agreement":null},{"id":"W6926663808","doi":"10.25384/sage.20293814","title":"sj-mp4-1-ijj-10.1177_03064190211034165 - Supplemental material for An improved de Laval nozzle experiment","year":2022,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Energy Efficiency and Management","field":"Energy","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":"Nozzle; Work (physics); Pneumatics; Materials testing","score_opus":0.03634738946503033,"score_gpt":0.3200512342043124,"score_spread":0.2837038447392821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926663808","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028177374,0.00012217814,0.015894724,0.0010541575,0.0011726625,0.00064509944,0.81666946,0.0189682,0.14265586],"genre_scores_gemma":[0.01567199,0.00021520424,0.022343516,0.0013143253,0.00015305654,0.0014793543,0.75774485,0.026071372,0.17500633],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99792033,0.00017506829,0.000098431505,0.00025224985,0.0013117162,0.00024232364],"domain_scores_gemma":[0.9948147,0.0014777519,0.00023471958,0.0011264429,0.0017983597,0.0005480368],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025493442,0.0008340306,0.0011784728,0.0015919852,0.0022946715,0.0022478108,0.0026912265,0.0020613817,0.7238988],"category_scores_gemma":[0.005437212,0.0011175653,0.0009787859,0.0023147904,0.0006620488,0.0026878538,0.0024679478,0.0031071363,0.47386435],"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":[0.00035404103,0.0002560643,0.0009788446,0.00023459739,0.000023437902,0.00003425475,0.000047101046,0.00029653375,0.0072878734,0.001880113,0.9726553,0.015951985],"study_design_scores_gemma":[0.0002682866,0.00014816277,0.006165885,0.00010047821,0.000029175813,0.00006781905,0.00014595283,0.0012317114,0.01407984,0.0027744684,0.97490364,0.000084566775],"about_ca_topic_score_codex":0.011430687,"about_ca_topic_score_gemma":0.033150304,"teacher_disagreement_score":0.7238988,"about_ca_system_score_codex":0.0015398909,"about_ca_system_score_gemma":0.002370766,"threshold_uncertainty_score":0.39382482},"labels":[],"label_agreement":null},{"id":"W6926758304","doi":"10.25549/pcra-c14-193609","title":"Khristiaskiy vestnik = [Christian herald], vol. 20, whole no. 229-231 (1956 October-December)","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Energy Efficiency and Management","field":"Energy","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":"Slavic languages; Diaspora; Faith; China; Slavic studies; Christianity","score_opus":0.005565558968699991,"score_gpt":0.16276794736620218,"score_spread":0.1572023883975022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926758304","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028969503,0.28275687,0.00056732784,0.0080659585,0.02533092,0.00006753895,0.0015680807,0.00023649113,0.6785098],"genre_scores_gemma":[0.04142227,0.09908978,0.00042647475,0.0020120963,0.006320902,0.000086446016,0.000866064,0.00033309622,0.8494429],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997068,0.000050211915,0.000030827843,0.00006373457,0.00010485931,0.000043516957],"domain_scores_gemma":[0.99982953,0.000051535466,0.000028933766,0.000019011997,0.000047233003,0.000023715662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004203716,0.0010736515,0.00041159827,0.00181953,0.0022462662,0.003298015,0.00045551907,0.00092204096,0.08950254],"category_scores_gemma":[0.0011090735,0.00045572623,0.00019952813,0.0025907587,0.0012307216,0.0026279695,0.0015183642,0.0015817552,0.03711519],"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":[0.000107455046,0.000023878134,0.000621836,0.00053730543,0.000009632367,0.00014484719,0.00072932546,0.000103761064,0.0004950277,0.042374764,0.862615,0.09223726],"study_design_scores_gemma":[0.00000397,0.000005518963,0.00076771586,0.00009537583,0.0000013445567,0.00010408446,0.00012459168,0.000010199883,0.000059131646,0.0009855285,0.9978397,0.0000028120521],"about_ca_topic_score_codex":0.007082613,"about_ca_topic_score_gemma":0.01300859,"teacher_disagreement_score":0.08950254,"about_ca_system_score_codex":0.0014861213,"about_ca_system_score_gemma":0.0010350232,"threshold_uncertainty_score":0.29941583},"labels":[],"label_agreement":null},{"id":"W6931725839","doi":"10.5281/zenodo.5444297","title":"Figure 15 in Revision of the genus Bosmina Baird, 1845 (Cladocera: Bosminidae), based on evidence from male morphological characters and molecular phylogenies","year":2009,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Energy Efficiency and Management","field":"Energy","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":"Genus; Cladistics; Adult male; Bosmina; Morphology (biology)","score_opus":0.022257704606685517,"score_gpt":0.22982870952076156,"score_spread":0.20757100491407604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931725839","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":[0.06335126,0.027744679,0.040182818,0.005978307,0.019258225,0.0008514859,0.020132672,0.0028754154,0.8196252],"genre_scores_gemma":[0.27062723,0.018572379,0.10212355,0.0018626247,0.0023992178,0.0005753592,0.026589084,0.0016621299,0.5755884],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999796,0.000036694557,0.000022414617,0.000049599133,0.00007198622,0.000023404406],"domain_scores_gemma":[0.99982375,0.000016287277,0.00002582024,0.000024777784,0.00008437259,0.000024973167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005134715,0.00055415917,0.00022398839,0.001605579,0.0009087944,0.0006693581,0.00071857945,0.0004742588,0.046338826],"category_scores_gemma":[0.00071398687,0.00017834052,0.00026370605,0.0009634657,0.0007891249,0.0010872107,0.0006973403,0.00079150323,0.011603672],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027225658,0.000049738082,0.012307316,0.0013701898,0.00005401881,0.0008051758,0.0010050172,0.00080869306,0.011352856,0.023940358,0.38828045,0.55975395],"study_design_scores_gemma":[0.000007633812,0.000020508942,0.0148466015,0.0001859104,0.000017822726,0.0005459322,0.00013143841,0.0002760879,0.0008835512,0.00080355664,0.98227155,0.000009476562],"about_ca_topic_score_codex":0.008163091,"about_ca_topic_score_gemma":0.029255863,"teacher_disagreement_score":0.046338826,"about_ca_system_score_codex":0.0008401445,"about_ca_system_score_gemma":0.00089322944,"threshold_uncertainty_score":0.1550188},"labels":[],"label_agreement":null},{"id":"W6949707484","doi":"10.5281/zenodo.3701952","title":"Texas Electricity Rates","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","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":"Alberta Energy","funders":"","keywords":"Electricity; Leverage (statistics); Process (computing); Energy (signal processing); Procurement; Electricity retailing; Electricity generation; Efficient energy use","score_opus":0.03587063639510848,"score_gpt":0.23648293936912643,"score_spread":0.20061230297401794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6949707484","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":[0.0037313467,0.00064108305,0.0030399447,0.015129294,0.0025568646,0.00010556521,0.025499586,0.004343251,0.94495314],"genre_scores_gemma":[0.015438819,0.00092008204,0.0017778429,0.0019770348,0.00050552737,0.00008375105,0.013647663,0.0015552295,0.9640939],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99895155,0.000079308564,0.000043766613,0.00019704532,0.00059967727,0.00012855064],"domain_scores_gemma":[0.9977763,0.00022030443,0.00018342253,0.00031433313,0.0011869158,0.00031864224],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009389606,0.00070725166,0.00031744313,0.0016148699,0.0016436183,0.004296266,0.0011476633,0.0014243401,0.40647903],"category_scores_gemma":[0.0040551177,0.00047705334,0.0002693705,0.0017945947,0.00039729147,0.0028406898,0.0014345291,0.0027614357,0.21909663],"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":[0.000052854426,0.000025622403,0.00034111508,0.00002816726,0.0000026787707,0.000059659495,0.00001957422,0.00016144021,0.00024253683,0.019920079,0.95706844,0.022077728],"study_design_scores_gemma":[0.000008648492,0.000012102697,0.00046735874,0.000017682338,0.000001384008,0.000053172753,0.000026247997,0.00023946425,0.0004230346,0.001086204,0.997658,0.0000066701236],"about_ca_topic_score_codex":0.009475584,"about_ca_topic_score_gemma":0.013132718,"teacher_disagreement_score":0.40647903,"about_ca_system_score_codex":0.0027934974,"about_ca_system_score_gemma":0.003056259,"threshold_uncertainty_score":0.84658563},"labels":[],"label_agreement":null},{"id":"W6964336773","doi":"10.25549/pcra-c14-194281","title":"Put' very = Way of faith, 1939?, no. ?","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Energy Efficiency and Management","field":"Energy","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":"Gospel; Slavic languages; Field (mathematics); Slavic studies; Western europe","score_opus":0.004953497563697014,"score_gpt":0.1480408972863409,"score_spread":0.1430873997226439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964336773","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011104615,0.000105975625,0.000015332458,0.00008623509,0.000050521347,0.000007475103,0.99741083,0.00007496831,0.0021375576],"genre_scores_gemma":[0.001083025,0.00038858165,0.000116334166,0.0001715295,0.000038983013,0.00007749585,0.9934661,0.00011976757,0.0045382604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993337,0.00007350458,0.00014636463,0.00016660315,0.00015271317,0.00012708487],"domain_scores_gemma":[0.9976235,0.0005342223,0.00045623697,0.00024742185,0.0009262649,0.00021239785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005595861,0.0009846166,0.0008962571,0.004291797,0.0007980608,0.0044035153,0.0010226055,0.0009962608,0.19311084],"category_scores_gemma":[0.0057634176,0.00048717353,0.00070005906,0.012694391,0.00036199912,0.0025622377,0.0015812056,0.0013792168,0.17279814],"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":[0.0000410305,0.0000060948137,0.001060189,0.0009101361,0.000010972454,0.000015625013,0.000038009595,0.00003784834,0.000029309616,0.00034687913,0.9946391,0.0028647485],"study_design_scores_gemma":[0.00007982324,0.0000065538775,0.006770474,0.0005526161,0.000010437063,0.000028247552,0.00016446534,0.000030780382,0.000060861403,0.0002714579,0.9920106,0.000013729129],"about_ca_topic_score_codex":0.040989053,"about_ca_topic_score_gemma":0.055899154,"teacher_disagreement_score":0.19311084,"about_ca_system_score_codex":0.0011097689,"about_ca_system_score_gemma":0.0017545978,"threshold_uncertainty_score":0.6460201},"labels":[],"label_agreement":null},{"id":"W6977270342","doi":"10.6084/m9.figshare.20364760.v1","title":"Additional file 1 of Widespread alterations in microRNA biogenesis in human Huntington’s disease putamen","year":2022,"lang":"en","type":"article","venue":"Figshare","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":"Hôpital de l'Enfant-Jésus; Université Laval; Centre hospitalier de l'Université Laval","funders":"","keywords":"microRNA; Biogenesis; Disease; Gene; Human disease","score_opus":0.01887651311402406,"score_gpt":0.23146506120616211,"score_spread":0.21258854809213806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977270342","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021876514,0.000042398115,0.000289554,0.000064752756,0.000026974385,0.00003386535,0.9985605,0.00024383774,0.0005194656],"genre_scores_gemma":[0.0077101565,0.00026210843,0.0034868307,0.0004796409,0.0001124501,0.00091669103,0.9782908,0.0009092251,0.007832093],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994148,0.00007727578,0.0000979643,0.00018158156,0.00014530306,0.000083106745],"domain_scores_gemma":[0.98823357,0.008994193,0.00057284493,0.0007929214,0.0010757368,0.00033076192],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010663418,0.0011467176,0.0013692225,0.0022726755,0.0010773516,0.0017033144,0.0018078897,0.001155044,0.8765314],"category_scores_gemma":[0.015575573,0.00065116613,0.0010973258,0.003877466,0.0002854461,0.0014145015,0.00094729447,0.0009593903,0.18069744],"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":[0.0005611122,0.00009431664,0.0027038334,0.00380544,0.000090960006,0.00016354122,0.00008042679,0.00043431605,0.00070051185,0.000734107,0.9778961,0.012735256],"study_design_scores_gemma":[0.007875494,0.00062487746,0.06579243,0.0053654085,0.0005536493,0.0026198435,0.0005112758,0.0030079153,0.0047600577,0.018105673,0.89048743,0.00029596864],"about_ca_topic_score_codex":0.004917454,"about_ca_topic_score_gemma":0.008732129,"teacher_disagreement_score":0.8765314,"about_ca_system_score_codex":0.00079499435,"about_ca_system_score_gemma":0.0013247846,"threshold_uncertainty_score":0.17611295},"labels":[],"label_agreement":null},{"id":"W6982523522","doi":"","title":"Infrastructure and Energy Alternatives, Inc. Announces Third Quarter 2019 Results","year":2019,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Energy consumption; Work (physics)","score_opus":0.004467776210347255,"score_gpt":0.21067265926515347,"score_spread":0.20620488305480622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982523522","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":[0.0022517983,0.0007947982,0.0026129477,0.02289141,0.009228618,0.00026493854,0.03324548,0.002041785,0.9266683],"genre_scores_gemma":[0.01074586,0.0007812998,0.0011429535,0.006854236,0.00067051675,0.00010833662,0.015137683,0.00063472474,0.9639245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983529,0.00010843746,0.000038522056,0.00007609364,0.0011325091,0.0002915048],"domain_scores_gemma":[0.9976948,0.00028676403,0.00005745271,0.00012059011,0.0014527028,0.0003877446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021309543,0.0010269186,0.0004082476,0.0015359494,0.0018897546,0.0054601296,0.0012260918,0.004011196,0.29397172],"category_scores_gemma":[0.0037724788,0.00035019682,0.0010346471,0.0012887327,0.00056987634,0.0023740488,0.0014174384,0.0034481187,0.1255802],"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":[0.00005980283,0.000057450427,0.00014219306,0.000041938496,0.0000029148282,0.000026969801,0.000007497741,0.00009927339,0.00020023619,0.0045025423,0.98513633,0.009722904],"study_design_scores_gemma":[0.000029155839,0.00003980425,0.0010518783,0.000044520944,0.0000073421074,0.000021892283,0.000078760415,0.00041586472,0.0005901674,0.002348946,0.99535745,0.000014251383],"about_ca_topic_score_codex":0.045857064,"about_ca_topic_score_gemma":0.13132536,"teacher_disagreement_score":0.29397172,"about_ca_system_score_codex":0.0031908432,"about_ca_system_score_gemma":0.0060415748,"threshold_uncertainty_score":0.98343337},"labels":[],"label_agreement":null},{"id":"W6987493439","doi":"","title":"Tempe picked to host model house with energy-efficient construction - News from The Arizona Republic","year":2012,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tempe; Work (physics); Host (biology); Quarter (Canadian coin)","score_opus":0.012139404697432292,"score_gpt":0.20127825511052824,"score_spread":0.18913885041309594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987493439","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":[0.00250419,0.0027277807,0.00047770876,0.018946776,0.0064778086,0.00004449,0.002095323,0.0008749797,0.965851],"genre_scores_gemma":[0.0042723683,0.0006280118,0.00016076167,0.001273838,0.000285943,0.000007869085,0.0005003484,0.00012422605,0.99274665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997868,0.000013386592,0.0000033435792,0.000023395576,0.00012075564,0.000052345094],"domain_scores_gemma":[0.9997725,0.000031529515,0.0000073953593,0.00001827566,0.000093765266,0.00007657461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003392033,0.0007621501,0.00023725064,0.0005294252,0.0024870408,0.0035401778,0.00044644618,0.0022063062,0.27914345],"category_scores_gemma":[0.0006139465,0.00031911203,0.00031690337,0.00045202125,0.00038191417,0.0011370161,0.0008992592,0.0031403825,0.056103535],"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":[0.000019623554,0.000024438961,0.0001951007,0.000019712497,0.0000017617712,0.000058446487,0.000018680263,0.00005933983,0.00016467998,0.001950118,0.9864282,0.011059919],"study_design_scores_gemma":[0.000005756594,0.000013384403,0.0022586044,0.00002510385,0.0000035940282,0.000034021235,0.00014881449,0.0001349003,0.00026248625,0.0002526577,0.996854,0.000006762192],"about_ca_topic_score_codex":0.038495153,"about_ca_topic_score_gemma":0.20198235,"teacher_disagreement_score":0.27914345,"about_ca_system_score_codex":0.0013082556,"about_ca_system_score_gemma":0.0014745473,"threshold_uncertainty_score":0.9338279},"labels":[],"label_agreement":null},{"id":"W6987545146","doi":"","title":"Sustainable Energy reports revenue, product shipment growth in most recent quarter","year":2011,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Product (mathematics); Sustainable energy; Sustainability; Sustainable development; Energy (signal processing)","score_opus":0.008404929767494514,"score_gpt":0.20511577344012136,"score_spread":0.19671084367262684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987545146","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":[0.008595802,0.001515422,0.0006307178,0.0015129412,0.001075304,0.000106618936,0.28285885,0.0013604165,0.7023439],"genre_scores_gemma":[0.018531648,0.004767806,0.0008991995,0.00029659155,0.00026776572,0.00010435268,0.18548556,0.00076979457,0.78887737],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944526,0.00002851968,0.000028821125,0.000034407436,0.00041030758,0.00005266615],"domain_scores_gemma":[0.99904984,0.0000785852,0.00011069023,0.000054263644,0.00064333074,0.00006326071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003832633,0.00091307296,0.00029531503,0.0047490294,0.000566167,0.0025208702,0.00063238334,0.0005811368,0.07303931],"category_scores_gemma":[0.0015219664,0.00036433138,0.0004789631,0.007866547,0.00019609662,0.0014234472,0.0004567574,0.0011299256,0.052793916],"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":[0.000051575513,0.00008669482,0.0023054595,0.0001547545,0.000008572848,0.000033005177,0.000024493938,0.00051772065,0.00013861682,0.0024912797,0.9613914,0.03279647],"study_design_scores_gemma":[0.000012474119,0.000021253823,0.022582201,0.00011502438,0.000010414062,0.00006445794,0.00013652022,0.0004576137,0.00058478327,0.0005107314,0.9754893,0.000015146517],"about_ca_topic_score_codex":0.07391712,"about_ca_topic_score_gemma":0.08864954,"teacher_disagreement_score":0.07391712,"about_ca_system_score_codex":0.002199371,"about_ca_system_score_gemma":0.002915122,"threshold_uncertainty_score":0.24434084},"labels":[],"label_agreement":null},{"id":"W6987780526","doi":"","title":"University of Alberta Initiates Airside Efficiency Program - Commodities (COMMODIT) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Matching (statistics); Productivity","score_opus":0.010829003283109451,"score_gpt":0.21300128622463466,"score_spread":0.2021722829415252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987780526","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":[0.00076958025,0.0009013567,0.0002668806,0.0060958466,0.0038039554,0.00004440682,0.004484714,0.00069582433,0.9829374],"genre_scores_gemma":[0.001234436,0.0003097817,0.00010356486,0.00042884177,0.0001428778,0.000005073919,0.000811899,0.00010878718,0.99685466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987968,0.000033443248,0.000011705362,0.000058720478,0.0008524564,0.00024679114],"domain_scores_gemma":[0.9980489,0.00016067331,0.000039288756,0.0001064742,0.0011122719,0.0005324233],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081909343,0.00088655256,0.00047991256,0.001851877,0.0037653924,0.00816118,0.0010456902,0.0037601353,0.39366385],"category_scores_gemma":[0.0021872472,0.0005204131,0.0005801973,0.0018155875,0.0008442944,0.0013878186,0.001361979,0.003445611,0.12612706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019847064,0.000018590208,0.00012416476,0.000018136736,0.0000012001062,0.000040016155,0.000016239335,0.000047336136,0.00007338363,0.0023630122,0.98728716,0.009990944],"study_design_scores_gemma":[0.000005058403,0.00000531818,0.0006988483,0.000028699926,0.0000017441822,0.000008795239,0.000069958674,0.00007060844,0.00013252435,0.00040411903,0.9985689,0.000005412913],"about_ca_topic_score_codex":0.48322433,"about_ca_topic_score_gemma":0.78440636,"teacher_disagreement_score":0.51677567,"about_ca_system_score_codex":0.0077078333,"about_ca_system_score_gemma":0.018164035,"threshold_uncertainty_score":0.9608233},"labels":[],"label_agreement":null},{"id":"W6989414968","doi":"","title":"Ark Pro IP67 Dustproof and Waterproof Power Station for Construction: Revolutionizing Job-Site Energy Solutions – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Energy (signal processing); Power station; Renewable energy; Energy consumption","score_opus":0.008639449252743946,"score_gpt":0.2099867297826451,"score_spread":0.20134728052990114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989414968","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":[0.013303147,0.0020398914,0.003962395,0.012125094,0.0016910029,0.0009000538,0.058607623,0.0029375167,0.9044333],"genre_scores_gemma":[0.014455313,0.0012913297,0.0020021363,0.0009602376,0.00005626682,0.000075018885,0.014961555,0.0003331784,0.965865],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972583,0.000045398763,0.000024137167,0.00006775165,0.002257315,0.00034704112],"domain_scores_gemma":[0.9966724,0.000091563896,0.00004493433,0.00006729212,0.002740782,0.00038301895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013461219,0.0009342617,0.00032423704,0.0016825845,0.0031342146,0.0029343364,0.0014914364,0.0025946035,0.064041935],"category_scores_gemma":[0.0014334169,0.0005627182,0.00046870924,0.0017822651,0.00073554413,0.0009984666,0.0008416674,0.0020282876,0.019518198],"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":[0.000089458896,0.00015595854,0.0011629609,0.000107046944,0.000007771735,0.000046845606,0.00004933605,0.0005223207,0.0018774,0.002410644,0.96660376,0.026966445],"study_design_scores_gemma":[0.000035873312,0.00006549482,0.015345907,0.00006150522,0.000016513459,0.00003156512,0.00037666812,0.0009257317,0.0032111541,0.0003308105,0.97957283,0.000026009142],"about_ca_topic_score_codex":0.95445377,"about_ca_topic_score_gemma":0.9825051,"teacher_disagreement_score":0.064041935,"about_ca_system_score_codex":0.01624876,"about_ca_system_score_gemma":0.08637225,"threshold_uncertainty_score":0.21424162},"labels":[],"label_agreement":null},{"id":"W6989849083","doi":"","title":"Canadian Manufacturer Doubling Production Capacity to Meet Surge in Electrical Transformer Demands","year":2023,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Surge; Ferroresonance in electricity networks; Transformer; Production (economics); Production line","score_opus":0.01601928522093775,"score_gpt":0.22767711712933147,"score_spread":0.2116578319083937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989849083","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":[0.0060544196,0.00057952804,0.0018256566,0.0068698786,0.0012893578,0.0001351901,0.012682228,0.0015039764,0.9690597],"genre_scores_gemma":[0.032170128,0.0010374567,0.002188877,0.0014996218,0.00013553335,0.000029480187,0.0055512446,0.00040038148,0.9569873],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988575,0.00002725424,0.00001314852,0.000051920604,0.00081911247,0.00023110013],"domain_scores_gemma":[0.997624,0.000055285283,0.000030011284,0.00007780298,0.0019491831,0.00026370859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005806789,0.00077001174,0.00024860955,0.0023386087,0.0036899662,0.0024871377,0.0011715172,0.0017245265,0.14753594],"category_scores_gemma":[0.0016358326,0.00040254797,0.0007152008,0.0020336602,0.00061846286,0.0010307663,0.00076469156,0.0012678782,0.03029604],"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":[0.000047230486,0.00003172172,0.0006860196,0.000058919934,0.000003741143,0.00007288642,0.00003762466,0.0007257426,0.0011358025,0.007485367,0.94939154,0.04032343],"study_design_scores_gemma":[0.000017542912,0.000018314433,0.0056806253,0.00004763031,0.000009689596,0.00005541461,0.00023115905,0.0016438336,0.0016449463,0.0011280784,0.98950267,0.000020007104],"about_ca_topic_score_codex":0.94327575,"about_ca_topic_score_gemma":0.97527,"teacher_disagreement_score":0.14753594,"about_ca_system_score_codex":0.022568954,"about_ca_system_score_gemma":0.05188364,"threshold_uncertainty_score":0.49355686},"labels":[],"label_agreement":null},{"id":"W6990392807","doi":"","title":"Des suppléments au Code national de l'énergie pour les bâtiments sont en préparation","year":2012,"lang":"fr","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Field (mathematics); Energy (signal processing); Context (archaeology)","score_opus":0.0342055896593196,"score_gpt":0.2967720412350755,"score_spread":0.2625664515757559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990392807","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004670107,0.004274922,0.016174298,0.031040264,0.062189117,0.00144969,0.08074915,0.0048077125,0.7946447],"genre_scores_gemma":[0.010706444,0.002747007,0.017981965,0.006433823,0.0022979786,0.0016642938,0.028904209,0.003539904,0.9257244],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9891195,0.0009801993,0.0009530756,0.00045193417,0.007685442,0.000809884],"domain_scores_gemma":[0.968579,0.0056853425,0.00081536116,0.002488501,0.021879433,0.0005522813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048598335,0.0010842971,0.0013993025,0.00433237,0.0030596864,0.0047878814,0.0027894594,0.0052725812,0.15906523],"category_scores_gemma":[0.029910855,0.0010047575,0.0011192056,0.0048259734,0.0012142712,0.0030874896,0.0019924224,0.006699664,0.0931855],"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":[0.000097822376,0.00008247359,0.00022795,0.00024566756,0.000007935428,0.00003595823,0.0002070726,0.00019277282,0.0007050812,0.019089544,0.95661384,0.022493843],"study_design_scores_gemma":[0.000016254815,0.000013224273,0.0015006426,0.00012387618,0.000006153678,0.000022163269,0.00010012186,0.00010327269,0.00055672874,0.0018820425,0.9956524,0.000023230805],"about_ca_topic_score_codex":0.13833869,"about_ca_topic_score_gemma":0.12847677,"teacher_disagreement_score":0.15906523,"about_ca_system_score_codex":0.0077242767,"about_ca_system_score_gemma":0.022563512,"threshold_uncertainty_score":0.5321262},"labels":[],"label_agreement":null},{"id":"W6990603052","doi":"","title":"174. Edmonton Folk Music Festival rocks energy efficiency","year":2017,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Folk music; Energy (signal processing); Folk song","score_opus":0.013480850494444061,"score_gpt":0.2308293222119224,"score_spread":0.21734847171747834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990603052","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":[0.0006837041,0.0009839046,0.00023130293,0.00553029,0.001864709,0.00007680181,0.0053081135,0.0005026678,0.9848186],"genre_scores_gemma":[0.0019858114,0.00039354363,0.00011281195,0.0021071483,0.00029051458,0.000055359604,0.0010795983,0.00024956514,0.9937257],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908614,0.000058264606,0.000027559943,0.00005927325,0.0005100912,0.00025872438],"domain_scores_gemma":[0.9987226,0.0001803011,0.00004357016,0.00007726741,0.0006830232,0.0002931774],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011578033,0.0012996973,0.00042282217,0.0025414194,0.00598609,0.0073011536,0.0012557183,0.009838283,0.3041574],"category_scores_gemma":[0.0034818621,0.00062124187,0.000771613,0.0017386228,0.0010856501,0.0024500208,0.002484898,0.004623868,0.12890097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017478877,0.000026941441,0.00020815148,0.000037726444,0.0000018523054,0.000053574855,0.00010679373,0.000042948057,0.000056682784,0.009142317,0.9806246,0.009680886],"study_design_scores_gemma":[0.000010516379,0.0000096094855,0.0017012279,0.00009967676,0.0000036096726,0.000029961064,0.00032689425,0.00003922938,0.00006001749,0.001224125,0.99648273,0.000012475343],"about_ca_topic_score_codex":0.21817711,"about_ca_topic_score_gemma":0.56683546,"teacher_disagreement_score":0.7818229,"about_ca_system_score_codex":0.0051128054,"about_ca_system_score_gemma":0.009219074,"threshold_uncertainty_score":0.992535},"labels":[],"label_agreement":null},{"id":"W6990834406","doi":"","title":"Enphase Energy Reports Financial Results for the Fourth Quarter and Fiscal Year 2015 - Commodities (COMMODIT) News","year":2016,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Fiscal year; Duration (music); Term (time); Work (physics)","score_opus":0.01323812373735595,"score_gpt":0.2455250687235935,"score_spread":0.23228694498623756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990834406","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":[0.0015120474,0.0012091383,0.0004100764,0.008090342,0.0069559477,0.0000839671,0.022821888,0.0009133804,0.95800316],"genre_scores_gemma":[0.0039087045,0.00082948426,0.00019581571,0.0009209722,0.00043791402,0.000028257722,0.008165083,0.00043768628,0.9850761],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904245,0.000043002867,0.00003135204,0.00005890365,0.00068378233,0.00014054909],"domain_scores_gemma":[0.99889636,0.000108283755,0.00007366508,0.00009242703,0.0006394627,0.00018968956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010786852,0.00078454823,0.0004310041,0.0018954508,0.0013801004,0.0071791345,0.0008101117,0.0021672444,0.3062101],"category_scores_gemma":[0.0036402368,0.00034676451,0.0005855874,0.002051996,0.0005018823,0.0034512908,0.0015327921,0.002475889,0.16264337],"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":[0.00005185481,0.000023775394,0.00017475364,0.00004223114,0.0000020225837,0.000027451775,0.00001075549,0.000053267027,0.000091378424,0.0065633194,0.98157126,0.011388042],"study_design_scores_gemma":[0.000007434147,0.000008698181,0.000739308,0.00004988359,0.0000017392513,0.000013188033,0.000043446384,0.000081593214,0.00027267105,0.0010807402,0.9976954,0.0000058807145],"about_ca_topic_score_codex":0.025273839,"about_ca_topic_score_gemma":0.03917046,"teacher_disagreement_score":0.3062101,"about_ca_system_score_codex":0.0029363362,"about_ca_system_score_gemma":0.0043456117,"threshold_uncertainty_score":0.9896071},"labels":[],"label_agreement":null},{"id":"W6991364385","doi":"","title":"Government of Canada announces funding for energy efficiency and climate action in Alberta | Stock Market | NYSE Composite Stock Quote | NYA Company Stock Market Quotes","year":2017,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Government (linguistics); Market efficiency; Efficient energy use; Stock exchange","score_opus":0.015269372260345911,"score_gpt":0.24433630431932093,"score_spread":0.22906693205897502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991364385","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":[0.00336425,0.0011798951,0.0004908291,0.009062472,0.0025696182,0.000267374,0.05084918,0.0015884759,0.930628],"genre_scores_gemma":[0.0058702235,0.0006657429,0.00024714717,0.00070873334,0.0001724671,0.000026208494,0.011092779,0.00026169574,0.98095495],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967933,0.0000318316,0.000033820314,0.00009018855,0.0024564574,0.0005943131],"domain_scores_gemma":[0.9914199,0.0002015397,0.00012141036,0.00016726961,0.006339222,0.0017507226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013238133,0.0013795741,0.000809862,0.0036872276,0.005353362,0.007967771,0.0014745297,0.0033292293,0.1958611],"category_scores_gemma":[0.0041827844,0.00080693624,0.00092572084,0.004066158,0.0011617884,0.0012593354,0.001273389,0.0030379477,0.07968356],"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":[0.000035864337,0.00003099555,0.00052408606,0.000029785513,0.00000514039,0.000027866017,0.000015874308,0.00013683786,0.00009292456,0.0023781438,0.98915625,0.007566048],"study_design_scores_gemma":[0.000043200926,0.000022932747,0.0061509507,0.000053721575,0.000009750275,0.000015884627,0.00013238838,0.00055975805,0.00043566112,0.0007747879,0.9917721,0.000028725128],"about_ca_topic_score_codex":0.96133465,"about_ca_topic_score_gemma":0.98141176,"teacher_disagreement_score":0.1958611,"about_ca_system_score_codex":0.034257926,"about_ca_system_score_gemma":0.12867202,"threshold_uncertainty_score":0.6552206},"labels":[],"label_agreement":null},{"id":"W6991862795","doi":"","title":"Infrastructure and Energy Alternatives, Inc. Announces First Quarter 2019 Results - Dividends (DIVIDEND) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend; Quarter (Canadian coin); Energy (signal processing); High energy","score_opus":0.006081260309361057,"score_gpt":0.2148109272191827,"score_spread":0.20872966690982164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991862795","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":[0.0018700932,0.0007897782,0.00086518674,0.031131057,0.011291826,0.000076699,0.007851626,0.0014095547,0.9447141],"genre_scores_gemma":[0.0073731723,0.0005027381,0.0003209785,0.0038775112,0.0008374243,0.000023707125,0.003081796,0.00032356632,0.983659],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999106,0.00004255552,0.000017294746,0.000060813207,0.00060128426,0.00017206525],"domain_scores_gemma":[0.9986099,0.00019030765,0.00004795981,0.0000785383,0.0007957751,0.00027742385],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008137457,0.00058373366,0.00032462706,0.0009846058,0.002043527,0.005941343,0.0006501383,0.003091439,0.31307775],"category_scores_gemma":[0.002882325,0.00028383033,0.00058249483,0.00096450397,0.0004280303,0.002137055,0.0010437638,0.0037947658,0.1305516],"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":[0.00003354841,0.0000279011,0.00010648839,0.000015491316,0.0000014137196,0.000033754895,0.000007778811,0.00003143249,0.0001336433,0.004416238,0.9864849,0.008707379],"study_design_scores_gemma":[0.00001298422,0.00001562575,0.0006176946,0.000024299696,0.0000030176593,0.000020751277,0.00006505336,0.0001890304,0.00037513406,0.0014409146,0.9972277,0.00000784782],"about_ca_topic_score_codex":0.025280766,"about_ca_topic_score_gemma":0.0731053,"teacher_disagreement_score":0.68692225,"about_ca_system_score_codex":0.0024420042,"about_ca_system_score_gemma":0.0039769076,"threshold_uncertainty_score":0.97981125},"labels":[],"label_agreement":null},{"id":"W6991966766","doi":"","title":"Italy household energy bills to jump in next quarter - regulator","year":2021,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Jump; Energy (signal processing); Regulator; Control (management); Work (physics)","score_opus":0.018343124486010855,"score_gpt":0.21815534710276951,"score_spread":0.19981222261675866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991966766","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":[0.0038608294,0.0015864073,0.00082833634,0.012392083,0.0029299518,0.000094877214,0.020226808,0.0011683041,0.9569124],"genre_scores_gemma":[0.018602137,0.00060810865,0.00053159735,0.0033380527,0.00053958327,0.00011561999,0.008246225,0.00033872385,0.9676799],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992592,0.00007955201,0.000022057618,0.00008539815,0.00037058417,0.00018322919],"domain_scores_gemma":[0.99953425,0.000043886423,0.000046395842,0.000049771726,0.00024450768,0.000081316655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082113896,0.0007785395,0.00052719866,0.0012177292,0.0010937674,0.0030203464,0.0007341275,0.0033547347,0.14120227],"category_scores_gemma":[0.002174452,0.00035888166,0.00067104626,0.001163193,0.00030758,0.0012726791,0.0009798738,0.002743979,0.0692601],"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":[0.00011199166,0.000045027846,0.00065707637,0.000061557104,0.000006189455,0.00004466517,0.000025766387,0.00023718746,0.0002254581,0.017976794,0.95963925,0.020968968],"study_design_scores_gemma":[0.00003720424,0.000025010855,0.008243424,0.00007709906,0.000007663938,0.000034798824,0.00003737733,0.0003453833,0.00029500967,0.0019052406,0.98897994,0.000011899778],"about_ca_topic_score_codex":0.046552744,"about_ca_topic_score_gemma":0.05930108,"teacher_disagreement_score":0.14120227,"about_ca_system_score_codex":0.0033709095,"about_ca_system_score_gemma":0.0034066932,"threshold_uncertainty_score":0.47236866},"labels":[],"label_agreement":null},{"id":"W6992799895","doi":"","title":"$211.75 Million in Sales Expected for Clearway Energy Inc (CWEN) This Quarter","year":2019,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Energy consumption; Work (physics); Electricity","score_opus":0.009283765781309706,"score_gpt":0.2231941366516492,"score_spread":0.21391037087033948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992799895","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":[0.0011765602,0.00041542033,0.000551378,0.0013042693,0.0014415875,0.00007351278,0.0064885053,0.001477398,0.98707145],"genre_scores_gemma":[0.001661721,0.00023833901,0.00011284071,0.00025029364,0.00008383315,0.000016677053,0.002925625,0.00017776308,0.9945328],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973863,0.000014927906,0.000008332691,0.000037493985,0.00015505662,0.000045488854],"domain_scores_gemma":[0.9997148,0.00001750368,0.000013169673,0.00001676123,0.00013704477,0.00010063301],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022748172,0.0009606192,0.0003172519,0.0012248211,0.0010611882,0.0025167526,0.0005374205,0.0010912305,0.643479],"category_scores_gemma":[0.0007478744,0.0003206585,0.0004562261,0.00084471365,0.00039124893,0.0017496739,0.0013122751,0.0012978986,0.57108706],"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":[0.000031039,0.000023737994,0.00012565964,0.000033386223,0.0000011894933,0.000012837761,0.000009266068,0.00006279954,0.0002444731,0.00092882453,0.973658,0.024868686],"study_design_scores_gemma":[0.000011240237,0.00002162197,0.0007722948,0.000045677123,0.0000017768701,0.000021934251,0.00006075308,0.00015325865,0.00015654453,0.00033612413,0.9984132,0.0000055004593],"about_ca_topic_score_codex":0.018173916,"about_ca_topic_score_gemma":0.040699422,"teacher_disagreement_score":0.643479,"about_ca_system_score_codex":0.0011317801,"about_ca_system_score_gemma":0.0014822687,"threshold_uncertainty_score":0.50853395},"labels":[],"label_agreement":null},{"id":"W6992941727","doi":"","title":"Mise à jour du Code national de l'énergie pour les bâtiments","year":2010,"lang":"fr","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Field (mathematics); Energy (signal processing); National standard","score_opus":0.01698620266878984,"score_gpt":0.25735201647168726,"score_spread":0.24036581380289743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992941727","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":[0.010427372,0.02386729,0.019994484,0.23394395,0.22953978,0.0003856451,0.008671289,0.0020067685,0.47116345],"genre_scores_gemma":[0.036578722,0.006371772,0.018047906,0.024260584,0.0067681195,0.00040876618,0.0036892414,0.0016305016,0.9022444],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922295,0.0010338359,0.0007894659,0.00047883732,0.004668331,0.00080009195],"domain_scores_gemma":[0.9894303,0.0012600594,0.0004438348,0.0005584028,0.007828675,0.00047872713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040406426,0.0008014647,0.0010713668,0.0015642606,0.0032218348,0.007226087,0.001472313,0.0052902466,0.02304936],"category_scores_gemma":[0.0163228,0.0005861092,0.00073212234,0.0020152251,0.0018963233,0.0037071614,0.0018121428,0.009725178,0.012564392],"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":[0.000063391766,0.000028965433,0.0005597401,0.0001610352,0.0000075126354,0.000118427895,0.00072808086,0.0002208081,0.00079586304,0.06931804,0.89019847,0.037799627],"study_design_scores_gemma":[0.000003253999,0.0000034841762,0.00088500883,0.0000645726,0.0000021322303,0.000024815996,0.00012219779,0.000044290162,0.00017773213,0.00080026384,0.9978604,0.000011942748],"about_ca_topic_score_codex":0.17828424,"about_ca_topic_score_gemma":0.18584624,"teacher_disagreement_score":0.17828424,"about_ca_system_score_codex":0.009562045,"about_ca_system_score_gemma":0.020311886,"threshold_uncertainty_score":0.35449302},"labels":[],"label_agreement":null},{"id":"W6995479787","doi":"","title":"Opportunities and challenges in developing markets for energy service companies (ESCOs) to promote energy efficiency programs in Indonesia”","year":2017,"lang":"en","type":"dissertation","venue":"Murdoch Research Repository (Murdoch University)","topic":"Energy Efficiency and Management","field":"Energy","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":"Efficient energy use; Developing country; Service (business); Energy (signal processing); Key (lock); Emerging markets; Economic efficiency; Developed country","score_opus":0.17615606472898493,"score_gpt":0.3101074857536217,"score_spread":0.13395142102463675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995479787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85339564,0.002900315,0.0021231766,0.052021608,0.00025921728,0.00018307606,0.00014999656,0.000026039628,0.088940784],"genre_scores_gemma":[0.9856323,0.002820035,0.0023380136,0.0024944202,0.00003285354,0.000055211283,0.000061611674,0.0000093343,0.006556131],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9986222,0.0005750708,0.000059183152,0.00007533438,0.00024169039,0.00042660136],"domain_scores_gemma":[0.9977215,0.00056493987,0.0005834258,0.000061507926,0.000341707,0.00072692696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032963557,0.00021983158,0.00010542204,0.0003369364,0.0018820988,0.0042833732,0.0005142216,0.00091226946,0.004378701],"category_scores_gemma":[0.0022392299,0.00015002083,0.00022032068,0.0005214998,0.00108266,0.0035227372,0.0024369599,0.0015211464,0.00045660548],"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":[0.00033590908,0.0015894136,0.30396807,0.0018337374,0.0000862266,0.009091693,0.038030878,0.00222314,0.010562659,0.18835497,0.042431496,0.4014919],"study_design_scores_gemma":[0.000049040398,0.0007883175,0.3177161,0.0021030311,0.000064370484,0.002872197,0.25734946,0.0048995484,0.008855667,0.024633149,0.3805546,0.00011452016],"about_ca_topic_score_codex":0.0032089436,"about_ca_topic_score_gemma":0.008918963,"teacher_disagreement_score":0.004378701,"about_ca_system_score_codex":0.0014000549,"about_ca_system_score_gemma":0.0055514537,"threshold_uncertainty_score":0.017433047},"labels":[],"label_agreement":null},{"id":"W6995941807","doi":"","title":"Public review taking place for the National Energy Code for Buildings 2011","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Energy (signal processing); Building code; Public policy; Field (mathematics)","score_opus":0.056198166865389025,"score_gpt":0.29009246001893274,"score_spread":0.2338942931535437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995941807","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008455553,0.023705328,0.008544103,0.4712742,0.15220092,0.005606166,0.0104175005,0.0013701277,0.3184261],"genre_scores_gemma":[0.026917389,0.015042145,0.00886065,0.1378074,0.0130867995,0.0031710996,0.007804718,0.00086030614,0.7864496],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9678296,0.0038718847,0.0024206445,0.0012543763,0.02091555,0.0037079435],"domain_scores_gemma":[0.8331826,0.011992027,0.0037608112,0.0041652313,0.14298567,0.0039137984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026778216,0.001000627,0.0015409543,0.006957329,0.0062826397,0.008395974,0.0038941752,0.021939259,0.025920287],"category_scores_gemma":[0.07318351,0.0012754118,0.0024064516,0.0036400622,0.0031960814,0.004092508,0.00334431,0.009505545,0.015082145],"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":[0.00003925645,0.00003809459,0.00032094357,0.0004168107,0.000013265217,0.00011055418,0.00016384301,0.00007096266,0.0006457926,0.0037373025,0.9788938,0.015549479],"study_design_scores_gemma":[0.000016070904,0.000016596236,0.0021219149,0.00074793905,0.000017860315,0.000031457923,0.00022012237,0.00006275827,0.00035912596,0.0003743922,0.99600047,0.000031349206],"about_ca_topic_score_codex":0.09935834,"about_ca_topic_score_gemma":0.16407624,"teacher_disagreement_score":0.09935834,"about_ca_system_score_codex":0.013995847,"about_ca_system_score_gemma":0.090439215,"threshold_uncertainty_score":0.19756001},"labels":[],"label_agreement":null},{"id":"W6996274766","doi":"","title":"The Scarborough Hospital Receives Infrastructure Upgrades through Energy Contract with Ameresco Canada","year":2014,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Contract management; Government (linguistics); Construction contract","score_opus":0.0019550892411180055,"score_gpt":0.17223628084762002,"score_spread":0.170281191606502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996274766","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":[0.004796814,0.00048646898,0.0007603565,0.01270739,0.0012084172,0.0002581839,0.0096815135,0.0010741433,0.9690267],"genre_scores_gemma":[0.007129151,0.00020953038,0.00043947127,0.0009611966,0.00008676254,0.00003179199,0.0025163689,0.00033993358,0.98828596],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754757,0.00017470424,0.00006520959,0.0001445687,0.0012221058,0.00084583473],"domain_scores_gemma":[0.9908742,0.0005520922,0.00019243704,0.00036665157,0.004355409,0.0036592602],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014231551,0.00091262936,0.00047604897,0.0024857537,0.0026932736,0.0037430192,0.0018276185,0.0028660013,0.47962078],"category_scores_gemma":[0.0058697886,0.00058761635,0.00070078456,0.0018431277,0.0009750582,0.001063565,0.0021000258,0.0020092987,0.11553943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014328906,0.00012452151,0.0015366679,0.00004707792,0.0000067377982,0.00013334017,0.000037352707,0.00025572532,0.00018581805,0.0042221528,0.9496209,0.04368646],"study_design_scores_gemma":[0.00006970676,0.000057233286,0.005392643,0.00007565392,0.0000058203173,0.00013832498,0.00019124469,0.0006518845,0.00043822938,0.00083249644,0.9921286,0.000018059576],"about_ca_topic_score_codex":0.42596513,"about_ca_topic_score_gemma":0.75412035,"teacher_disagreement_score":0.57403487,"about_ca_system_score_codex":0.01605842,"about_ca_system_score_gemma":0.04437027,"threshold_uncertainty_score":0.8469715},"labels":[],"label_agreement":null},{"id":"W6996398540","doi":"","title":"Rogers Corporation Reports Second Quarter 2020 Results - Energy (ENERGY01) News","year":2020,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Quarter (Canadian coin); Energy (signal processing)","score_opus":0.008427297292626808,"score_gpt":0.20163690334692003,"score_spread":0.19320960605429321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996398540","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":[0.0009908479,0.0011432685,0.00056354905,0.009540327,0.01281788,0.00012236284,0.004292916,0.002175798,0.96835315],"genre_scores_gemma":[0.0020759562,0.0004185314,0.00024252624,0.0018660838,0.0003916784,0.000024290019,0.0016540306,0.0003806435,0.9929463],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813867,0.00012789501,0.000041307565,0.00011668664,0.0013194182,0.00025603935],"domain_scores_gemma":[0.99813443,0.00027149133,0.000058634323,0.00013982455,0.0009508114,0.00044480964],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001512213,0.0014210957,0.0005434811,0.0018016085,0.0015027949,0.008061904,0.00089243404,0.0050658253,0.41385153],"category_scores_gemma":[0.003723898,0.0005258732,0.0013520084,0.00087659963,0.00057007413,0.0024721834,0.0010833472,0.003480132,0.34807628],"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":[0.000036099584,0.000044460787,0.000054912372,0.000027569626,0.0000020775558,0.00002788195,0.0000049210903,0.00003248713,0.0001465495,0.0016698908,0.9858726,0.012080544],"study_design_scores_gemma":[0.00001618282,0.00003300763,0.00036293597,0.000027960445,0.0000042722604,0.00002295537,0.000033306445,0.00010251353,0.0002853296,0.0005010943,0.99860257,0.000007853042],"about_ca_topic_score_codex":0.019760175,"about_ca_topic_score_gemma":0.04166123,"teacher_disagreement_score":0.41385153,"about_ca_system_score_codex":0.0019481706,"about_ca_system_score_gemma":0.0037514556,"threshold_uncertainty_score":0.83606964},"labels":[],"label_agreement":null},{"id":"W6996841960","doi":"","title":"Technical Quarterly Progress Report Southern Energy Efficiency Center (SEEC) April-June 08","year":2008,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Energy Efficiency and Management","field":"Energy","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":"General partnership; Software deployment; Efficient energy use; Quarter (Canadian coin); Center (category theory); Energy policy","score_opus":0.033085764045193325,"score_gpt":0.3450489261844108,"score_spread":0.3119631621392175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996841960","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":[0.007552789,0.003094146,0.004734133,0.012676123,0.008587553,0.0010413871,0.0832118,0.0031251046,0.8759769],"genre_scores_gemma":[0.018849913,0.0045326827,0.004868952,0.0010039532,0.0009048121,0.0006133687,0.07149317,0.00097395893,0.89675915],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970765,0.00024792185,0.00012937837,0.00021409107,0.0021128405,0.00021930251],"domain_scores_gemma":[0.9896013,0.0005304882,0.00020188765,0.0006083516,0.00870309,0.00035485142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040284335,0.00071898394,0.00052686915,0.0026840025,0.0012347831,0.0040575797,0.0012274354,0.0010522708,0.19197898],"category_scores_gemma":[0.0054833554,0.0004774377,0.00033733304,0.002769372,0.00023918327,0.0019616885,0.0010801232,0.0012607487,0.118459925],"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":[0.00003942502,0.000078627585,0.00089706545,0.000071449766,0.0000023988528,0.00001608315,0.00004863764,0.00014448908,0.00024437485,0.0011999621,0.94969064,0.04756678],"study_design_scores_gemma":[0.000007958998,0.000042226588,0.003924272,0.00006544051,0.0000025510083,0.00001822596,0.00014190147,0.00009837977,0.0003658417,0.0002344619,0.9950938,0.0000049317464],"about_ca_topic_score_codex":0.029320827,"about_ca_topic_score_gemma":0.023732271,"teacher_disagreement_score":0.19197898,"about_ca_system_score_codex":0.0022811517,"about_ca_system_score_gemma":0.007069276,"threshold_uncertainty_score":0.64223367},"labels":[],"label_agreement":null},{"id":"W6996876122","doi":"","title":"Technical Progress Report Fourth Quarter 2011 ARRA: Energy Code Compliance and Effectiveness Measurement","year":2011,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Energy Efficiency and Management","field":"Energy","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":"Audit; Enforcement; Work (physics); Code (set theory); Energy (signal processing); Code of practice; Quarter (Canadian coin)","score_opus":0.12670608109979764,"score_gpt":0.3794028472121726,"score_spread":0.25269676611237496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996876122","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":[0.2985206,0.0011606957,0.106782466,0.012172812,0.0029829408,0.03460067,0.10125696,0.00809487,0.43442804],"genre_scores_gemma":[0.31829184,0.0010819371,0.2267813,0.0012675434,0.0006817509,0.03852761,0.11919322,0.0025069397,0.29166782],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.93555987,0.023509057,0.0046381988,0.0020621216,0.03191083,0.0023199876],"domain_scores_gemma":[0.8008765,0.021349087,0.00947174,0.014257274,0.14957286,0.0044724545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.055792436,0.00093896594,0.0009412644,0.0047022337,0.002547754,0.0042092693,0.0022275066,0.0012452762,0.023292087],"category_scores_gemma":[0.070268825,0.001098874,0.0007284234,0.0026128963,0.0007483313,0.002205008,0.0030454944,0.0017569946,0.02057087],"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":[0.001307092,0.0065325596,0.10754733,0.000913685,0.0001130502,0.00014826852,0.003936864,0.0024496538,0.009483006,0.005908681,0.41986656,0.44179326],"study_design_scores_gemma":[0.00030566222,0.006761253,0.41966048,0.00044967807,0.00010429321,0.00033598152,0.0063588577,0.008536967,0.025303073,0.0016656849,0.5303086,0.00020938144],"about_ca_topic_score_codex":0.01581436,"about_ca_topic_score_gemma":0.012848419,"teacher_disagreement_score":0.055792436,"about_ca_system_score_codex":0.004126866,"about_ca_system_score_gemma":0.016272368,"threshold_uncertainty_score":0.29506212},"labels":[],"label_agreement":null},{"id":"W6997382315","doi":"","title":"Update on the National Energy Code for Buildings","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Field (mathematics); Energy (signal processing); Building code; Energy consumption","score_opus":0.041689898943101794,"score_gpt":0.24617707847956025,"score_spread":0.20448717953645845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997382315","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":[0.016754912,0.030195126,0.030358274,0.09568888,0.070028655,0.0015318743,0.12284131,0.0042328225,0.6283681],"genre_scores_gemma":[0.05892107,0.01794158,0.046316586,0.029184941,0.00349322,0.0016495069,0.0948692,0.0020182321,0.74560565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99310017,0.0008001684,0.0007602089,0.00025695507,0.004360925,0.0007216847],"domain_scores_gemma":[0.9728012,0.0013691721,0.0009817384,0.001007153,0.023052469,0.00078817894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038478917,0.0012501362,0.0008059062,0.0039802296,0.0020697105,0.0043726563,0.0019482939,0.0033649139,0.01994193],"category_scores_gemma":[0.014479609,0.0006113514,0.00091551297,0.006029406,0.0009211488,0.0032563133,0.0019067108,0.0045045335,0.01177938],"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":[0.000042832235,0.0000527479,0.0012537546,0.00020026298,0.000010182683,0.000061923485,0.00021598233,0.0004961053,0.00041267188,0.014217894,0.94187057,0.041165013],"study_design_scores_gemma":[0.0000042848633,0.0000073644824,0.0026246782,0.00014515211,0.000004718891,0.000021880192,0.000105641004,0.0000447543,0.00009451688,0.00058656774,0.99634486,0.000015607495],"about_ca_topic_score_codex":0.30194,"about_ca_topic_score_gemma":0.40402505,"teacher_disagreement_score":0.30194,"about_ca_system_score_codex":0.009511132,"about_ca_system_score_gemma":0.027709933,"threshold_uncertainty_score":0.60036504},"labels":[],"label_agreement":null},{"id":"W6999611601","doi":"","title":"Des mesures pour améliorer la performance sont envisagées pour le prochain code de l'énergie","year":2012,"lang":"fr","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Field (mathematics); Energy (signal processing); Instrumentation (computer programming)","score_opus":0.017618366033614205,"score_gpt":0.26352094991751346,"score_spread":0.24590258388389924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999611601","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40433004,0.004714596,0.32297793,0.02749475,0.00579539,0.0010394327,0.004261763,0.0375354,0.19185075],"genre_scores_gemma":[0.68389076,0.0018100642,0.21188816,0.0024181313,0.00074291404,0.00066310336,0.0035923996,0.0061426805,0.088851705],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996754,0.00086597697,0.00014374967,0.00019728631,0.0016174668,0.00042149282],"domain_scores_gemma":[0.9899504,0.002517443,0.00047147105,0.0014536519,0.0050003636,0.00060662796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005547352,0.0015200959,0.0006456117,0.0010764202,0.0019454197,0.002312042,0.0011145746,0.0021847435,0.022650894],"category_scores_gemma":[0.013993004,0.000404314,0.0008205884,0.00081014493,0.0008962341,0.0023918457,0.0012354014,0.002615583,0.0064426],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005213063,0.0016900331,0.01702007,0.0011181255,0.00023009899,0.0006060966,0.0014979448,0.11017733,0.19304807,0.04973148,0.09118582,0.52848184],"study_design_scores_gemma":[0.0008098115,0.0057942523,0.0395223,0.0005829709,0.00030336512,0.00060487946,0.0011661547,0.21320389,0.4119114,0.020875612,0.3045942,0.0006311118],"about_ca_topic_score_codex":0.011970608,"about_ca_topic_score_gemma":0.012244919,"teacher_disagreement_score":0.022650894,"about_ca_system_score_codex":0.0018366823,"about_ca_system_score_gemma":0.002754041,"threshold_uncertainty_score":0.07577479},"labels":[],"label_agreement":null},{"id":"W7001099917","doi":"","title":"Infrastructure and Energy Alternatives, Inc. Announces Fourth Quarter and Full Year 2020 Financial Results and Issues 2021 Guidance","year":2021,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Work (physics); High energy; Financial Audit","score_opus":0.004651447801642301,"score_gpt":0.22009839660494349,"score_spread":0.21544694880330117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001099917","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":[0.001777111,0.0007456913,0.0014612826,0.047979686,0.0072010825,0.0002464854,0.009910573,0.0012909174,0.9293871],"genre_scores_gemma":[0.0043990915,0.00062825513,0.00097596535,0.008351185,0.00034177498,0.000068087465,0.0026834067,0.00028813788,0.9822641],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981213,0.00010375077,0.000035159454,0.000080597536,0.0013735079,0.0002855897],"domain_scores_gemma":[0.99714893,0.0003854494,0.000088189445,0.000087096865,0.0018347362,0.00045552966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018374196,0.0008180673,0.00043604415,0.0011624515,0.0024753734,0.004224469,0.0010226532,0.007764719,0.17497067],"category_scores_gemma":[0.0044460827,0.0005385297,0.00067057065,0.0010409743,0.0006345033,0.0017644136,0.0011521599,0.005209133,0.067240216],"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":[0.000019621722,0.00004866228,0.00009442719,0.00001828004,0.0000013205344,0.000029661136,0.000008271889,0.00006866743,0.0001279818,0.002745769,0.989248,0.0075893337],"study_design_scores_gemma":[0.00001699349,0.000020889596,0.0005567263,0.000021344513,0.0000031634481,0.000016779963,0.00005368344,0.00022785987,0.00021324503,0.00074497436,0.9981165,0.0000078562],"about_ca_topic_score_codex":0.08758026,"about_ca_topic_score_gemma":0.22735661,"teacher_disagreement_score":0.17497067,"about_ca_system_score_codex":0.0029787717,"about_ca_system_score_gemma":0.0117420275,"threshold_uncertainty_score":0.5853352},"labels":[],"label_agreement":null},{"id":"W7001315937","doi":"","title":"Infrastructure and Energy Alternatives, Inc. to Report Third Quarter 2020 Financial Results","year":2020,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Work (physics); Energy consumption; Term (time)","score_opus":0.004654461562965114,"score_gpt":0.21507014042530972,"score_spread":0.2104156788623446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001315937","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":[0.0023143513,0.0024924036,0.0013506651,0.02115185,0.010030124,0.00025734247,0.05449496,0.0011529123,0.9067554],"genre_scores_gemma":[0.008622835,0.0040411586,0.0011427117,0.004222165,0.00047119285,0.0001463938,0.02312769,0.00039685454,0.957829],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990595,0.00005121939,0.00002829618,0.000050676237,0.00065664656,0.00015356886],"domain_scores_gemma":[0.9983095,0.00012503848,0.00008093581,0.000051225423,0.0012207739,0.00021247622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001136896,0.0013144534,0.00047002645,0.0015238312,0.0009470888,0.0041584745,0.00081927644,0.0027429082,0.21046306],"category_scores_gemma":[0.0025839636,0.00026125408,0.00056729,0.0018100921,0.00027073355,0.0021431237,0.0009197141,0.0025156154,0.1319382],"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":[0.000039063205,0.000041365736,0.00016076097,0.00004028645,0.0000030420524,0.000016812799,0.0000037737693,0.00010942526,0.00010770649,0.0016338024,0.98295236,0.014891546],"study_design_scores_gemma":[0.000022377744,0.000029959985,0.0009026022,0.00007841754,0.00000787582,0.000020265154,0.00007149251,0.00045062118,0.00040375974,0.001055711,0.9969469,0.0000099842],"about_ca_topic_score_codex":0.03450704,"about_ca_topic_score_gemma":0.052749418,"teacher_disagreement_score":0.78953695,"about_ca_system_score_codex":0.0019768802,"about_ca_system_score_gemma":0.005421953,"threshold_uncertainty_score":0.7040691},"labels":[],"label_agreement":null},{"id":"W7001985827","doi":"","title":"Major investments in SOFIAC for large-scale energy efficiency retrofit projects in Quebec","year":2021,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Investment (military); Economic efficiency; Renewable energy; Energy consumption; Production (economics)","score_opus":0.012911368751817066,"score_gpt":0.24478897189132764,"score_spread":0.23187760313951059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001985827","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":[0.24837805,0.004015408,0.009069172,0.008722246,0.0006309413,0.00047241081,0.024860987,0.0023339188,0.70151687],"genre_scores_gemma":[0.34591582,0.0014488257,0.003665463,0.0006204147,0.000027566475,0.00006274541,0.006731472,0.0002356347,0.6412921],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999495,0.00003278047,0.0000061966807,0.00003369612,0.00023351541,0.00019869671],"domain_scores_gemma":[0.999424,0.000033366316,0.000023889557,0.00002467513,0.00034794572,0.00014612748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916485,0.000640955,0.00019655918,0.00072534406,0.0021441255,0.0013695739,0.0008897968,0.00078502606,0.049886186],"category_scores_gemma":[0.0007038477,0.00022318643,0.000491991,0.0009280364,0.0004579611,0.00046174557,0.0005599356,0.00068650336,0.0028968058],"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":[0.00068548205,0.0004375711,0.04554006,0.0006507683,0.00016861963,0.00094101724,0.00041805842,0.016828416,0.013307794,0.039700966,0.47299665,0.4083246],"study_design_scores_gemma":[0.00011330937,0.00020811606,0.14243683,0.00031076832,0.00004793814,0.0002438659,0.0015126023,0.021315327,0.006663903,0.0012510195,0.82584393,0.00005244824],"about_ca_topic_score_codex":0.9641093,"about_ca_topic_score_gemma":0.9808375,"teacher_disagreement_score":0.049886186,"about_ca_system_score_codex":0.026808629,"about_ca_system_score_gemma":0.036585137,"threshold_uncertainty_score":0.19451112},"labels":[],"label_agreement":null},{"id":"W7002043380","doi":"","title":"Metal Stocks Drag TSX Lower; Energy Up On OPEC Quota - Canadian Commentary","year":2011,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drag; Energy (signal processing); Renewable energy; Energy consumption; Energy expenditure","score_opus":0.01334615350489676,"score_gpt":0.20904633042875675,"score_spread":0.19570017692386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002043380","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":[0.0018236544,0.0070542837,0.00020349203,0.8535836,0.01061277,0.00004893184,0.0014719785,0.00006426549,0.12513694],"genre_scores_gemma":[0.02288866,0.005324014,0.000391122,0.76579624,0.003976558,0.00008918295,0.00027843533,0.00014341543,0.2011123],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9891805,0.0006244423,0.00037851054,0.00084832107,0.004924031,0.004044141],"domain_scores_gemma":[0.99095356,0.0018585543,0.000284368,0.00023513434,0.005567629,0.0011008482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048728758,0.0014733024,0.0016455763,0.0023468537,0.019965932,0.012818583,0.005917197,0.04735792,0.038320944],"category_scores_gemma":[0.018634316,0.0011840797,0.0025497468,0.0048310626,0.0085704485,0.0056877187,0.005629157,0.0420754,0.0032260595],"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":[0.00003966947,0.00001613721,0.00032658025,0.00014824058,0.00002387458,0.00013799236,0.0007014249,0.0002369135,0.00008769387,0.08354514,0.90992284,0.0048135],"study_design_scores_gemma":[0.00006521694,0.000009546952,0.0026394974,0.0005217259,0.000056016295,0.00004628337,0.0019210244,0.00018598078,0.00017151222,0.010403541,0.983869,0.00011053709],"about_ca_topic_score_codex":0.98681146,"about_ca_topic_score_gemma":0.99244624,"teacher_disagreement_score":0.102613986,"about_ca_system_score_codex":0.102613986,"about_ca_system_score_gemma":0.24750681,"threshold_uncertainty_score":0.74452007},"labels":[],"label_agreement":null},{"id":"W7002214196","doi":"","title":"Mise à jour sur le Code national de l'énergie pour les bâtiments 2011","year":2011,"lang":"fr","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Field (mathematics); Energy (signal processing); Context (archaeology)","score_opus":0.058222691734589466,"score_gpt":0.2501515559236714,"score_spread":0.19192886418908192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002214196","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":[0.0078646755,0.03489427,0.011612315,0.21832325,0.18970747,0.00058305374,0.02896323,0.0018962274,0.5061555],"genre_scores_gemma":[0.01945988,0.01079067,0.008717172,0.033281974,0.0050525176,0.0006275079,0.0110147,0.0011157042,0.90993994],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929254,0.00078617036,0.0007483526,0.00038178428,0.0042264243,0.00093191734],"domain_scores_gemma":[0.99117905,0.0012801236,0.0004763942,0.00031415836,0.0063835774,0.00036667133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003294147,0.0009844941,0.0011283847,0.0021225712,0.0035280474,0.007339928,0.0014467969,0.0054427898,0.030640528],"category_scores_gemma":[0.014089197,0.0006831309,0.0007942149,0.0028056204,0.0014814931,0.0036043753,0.0020870445,0.009370702,0.018533088],"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":[0.000042043946,0.000021005791,0.00031796438,0.00016552852,0.000004961702,0.000059490503,0.0003508628,0.0001487181,0.00035839967,0.019643433,0.9600106,0.018877115],"study_design_scores_gemma":[0.0000036157933,0.0000042838437,0.0012182408,0.00013201355,0.000002782313,0.000018353727,0.0001517163,0.000024063154,0.00012348984,0.00043453104,0.99786973,0.000017178065],"about_ca_topic_score_codex":0.25099802,"about_ca_topic_score_gemma":0.27780578,"teacher_disagreement_score":0.25099802,"about_ca_system_score_codex":0.010787935,"about_ca_system_score_gemma":0.02453695,"threshold_uncertainty_score":0.4990741},"labels":[],"label_agreement":null},{"id":"W7005279043","doi":"","title":"PSE&G residential electric bills to increase 2.1 percent on June 1 - The Business Journals","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Work (physics); Government (linguistics); Consumption (sociology); Quarter (Canadian coin)","score_opus":0.030020173174545747,"score_gpt":0.2859709806046608,"score_spread":0.25595080743011506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005279043","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":[0.0032639573,0.0015731215,0.00039535016,0.02166491,0.009300128,0.00010171303,0.0053391415,0.00151548,0.9568462],"genre_scores_gemma":[0.0077004433,0.0006598043,0.000152907,0.0034380937,0.0013141644,0.000016158125,0.0015702485,0.00021764304,0.9849305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992723,0.00004959509,0.000030739484,0.00007966148,0.00043965792,0.000128095],"domain_scores_gemma":[0.99859625,0.0002292533,0.00007274529,0.00012924024,0.000653995,0.00031846523],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007455027,0.0005093553,0.00028477685,0.001687949,0.0013315824,0.0040224036,0.0005997905,0.0034183073,0.3049612],"category_scores_gemma":[0.0034415873,0.00034359304,0.00052739977,0.001071374,0.0004182788,0.0013672307,0.0009181048,0.0021408724,0.19331841],"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":[0.000044434782,0.000051585863,0.00043287573,0.00003996566,0.0000034511531,0.000058193742,0.000011750241,0.0000578893,0.0003378433,0.0027599342,0.9805453,0.015656728],"study_design_scores_gemma":[0.000013946548,0.00003075751,0.0041759163,0.000053810927,0.0000036181061,0.000049148348,0.000035867793,0.00012438784,0.00048754548,0.00079077936,0.9942264,0.0000077269415],"about_ca_topic_score_codex":0.0071814293,"about_ca_topic_score_gemma":0.022030538,"teacher_disagreement_score":0.3049612,"about_ca_system_score_codex":0.0016332165,"about_ca_system_score_gemma":0.0017548833,"threshold_uncertainty_score":0.9913885},"labels":[],"label_agreement":null},{"id":"W7006358880","doi":"","title":"SustainCo Inc. Announces Work Orders of Over $550,000 for Energy Management and Related General Contracting Work at CFB Borden, Ontario - Energy (ENERGY01) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Energy (signal processing); Energy management; Energy management system; Work order; Energy policy","score_opus":0.008262722474509198,"score_gpt":0.2186713926365461,"score_spread":0.2104086701620369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006358880","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":[0.0011957033,0.00065232156,0.0007799898,0.0104599185,0.0037071535,0.00010982246,0.008603306,0.0023884617,0.9721033],"genre_scores_gemma":[0.0018138626,0.0002520996,0.0001171441,0.0008512185,0.00016649645,0.000015904356,0.0025764664,0.0003265415,0.9938803],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985902,0.000038487913,0.000023443938,0.00007577725,0.0010673921,0.0002046872],"domain_scores_gemma":[0.99763083,0.00015518932,0.000048510265,0.00012728787,0.0014906254,0.0005474769],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009980606,0.0007395895,0.00032441202,0.0012645917,0.0031676663,0.0055550695,0.00074890174,0.0032719744,0.40425453],"category_scores_gemma":[0.0028076689,0.00049898203,0.00063215947,0.0012953762,0.0006943009,0.0018810522,0.0010826379,0.0022130127,0.21046267],"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":[0.000016355138,0.000010483921,0.000088611465,0.000016352284,7.708777e-7,0.000021404909,0.000013671329,0.000014179889,0.00012990258,0.0012471201,0.9925464,0.0058947075],"study_design_scores_gemma":[0.000006047609,0.00000847348,0.00069318694,0.000017943044,0.000001240455,0.000015800862,0.00006365689,0.00006196733,0.0001881521,0.00024306559,0.99869496,0.0000054550883],"about_ca_topic_score_codex":0.15940191,"about_ca_topic_score_gemma":0.3797188,"teacher_disagreement_score":0.40425453,"about_ca_system_score_codex":0.003571162,"about_ca_system_score_gemma":0.006846955,"threshold_uncertainty_score":0.8497586},"labels":[],"label_agreement":null},{"id":"W7008490986","doi":"","title":"Canadian Solar signs one of the first private PPAs in the Italian market with Axpo Italia","year":2021,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Order (exchange); Investment (military)","score_opus":0.008808903568553518,"score_gpt":0.18497009088711025,"score_spread":0.17616118731855673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008490986","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":[0.011714846,0.0007363447,0.00066818733,0.005428945,0.00070210523,0.00014631225,0.0045501995,0.0006574793,0.9753956],"genre_scores_gemma":[0.05667753,0.000440632,0.00074065884,0.0010176895,0.00011664857,0.000026270882,0.0020704323,0.00024104446,0.9386691],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927527,0.000025120033,0.0000058236938,0.00007220484,0.0004016822,0.00021989536],"domain_scores_gemma":[0.9992341,0.00002778498,0.000022189013,0.000045344823,0.00041477155,0.00025586828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044379954,0.0005842296,0.00027221118,0.0010816802,0.0046585333,0.0044611,0.0006503316,0.0015925945,0.12996234],"category_scores_gemma":[0.0009875195,0.0002706311,0.00049582485,0.0017277359,0.00080301584,0.00079785555,0.0012462793,0.0020199232,0.0239782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021759763,0.00010880581,0.005060025,0.00012156795,0.000023652492,0.00054901204,0.00027365418,0.00038769134,0.002011746,0.094946556,0.83386153,0.06243813],"study_design_scores_gemma":[0.000014089239,0.00001546512,0.0063146367,0.0000176028,0.0000041974436,0.000049502403,0.0001919307,0.00014902712,0.00040836958,0.0005662927,0.9922597,0.000009196809],"about_ca_topic_score_codex":0.771652,"about_ca_topic_score_gemma":0.90440744,"teacher_disagreement_score":0.771652,"about_ca_system_score_codex":0.013997591,"about_ca_system_score_gemma":0.019599333,"threshold_uncertainty_score":0.45938557},"labels":[],"label_agreement":null},{"id":"W7008574113","doi":"","title":"Canada seeks feedback on clean electricity standard","year":2022,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Mains electricity; Clean technology; Government (linguistics); Production (economics)","score_opus":0.005695579248767615,"score_gpt":0.19573782656769884,"score_spread":0.1900422473189312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008574113","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":[0.0025174334,0.0015064154,0.00084456085,0.11472559,0.0079463795,0.00048601514,0.020682521,0.0011265731,0.8501644],"genre_scores_gemma":[0.006068171,0.0006442207,0.0008588621,0.026260013,0.00029781373,0.00007535485,0.0024441055,0.00027939308,0.96307206],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9896417,0.00023889207,0.00014749667,0.0002317657,0.007902947,0.0018371624],"domain_scores_gemma":[0.97834206,0.00087237003,0.00018226657,0.00034479104,0.016787132,0.003471374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044793235,0.000942338,0.0007636201,0.0029206031,0.0073255138,0.00815959,0.0025529042,0.014036024,0.14889875],"category_scores_gemma":[0.014021073,0.0007174983,0.0010893932,0.0028178187,0.0017570341,0.0016153266,0.0025794231,0.0069510196,0.030457692],"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":[0.0000110091405,0.000016999007,0.00016343196,0.00002151431,0.0000018486586,0.000027224118,0.000029504867,0.0000818611,0.000069379865,0.006509461,0.989364,0.0037037157],"study_design_scores_gemma":[0.00001648449,0.000008413738,0.0014489042,0.000050821345,0.000004084994,0.000009103253,0.00015132033,0.00017096222,0.00019372335,0.0010441326,0.99688405,0.000018116727],"about_ca_topic_score_codex":0.977426,"about_ca_topic_score_gemma":0.9882416,"teacher_disagreement_score":0.14889875,"about_ca_system_score_codex":0.05940356,"about_ca_system_score_gemma":0.2952361,"threshold_uncertainty_score":0.49811596},"labels":[],"label_agreement":null},{"id":"W7008588853","doi":"","title":"Clean Energy Records Lowest Quarter of Investment Since 2009","year":2012,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Clean technology; Clean energy; Energy (signal processing)","score_opus":0.009323458076070327,"score_gpt":0.2141293440504322,"score_spread":0.2048058859743619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008588853","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029101878,0.0020328644,0.00074810546,0.002549206,0.00066620676,0.00004608304,0.79642,0.000993471,0.16744222],"genre_scores_gemma":[0.105866164,0.0034501313,0.0010686041,0.001093331,0.00027181648,0.00009731657,0.5653768,0.0007140109,0.3220618],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990765,0.000042040683,0.00006146009,0.000115566414,0.0005229686,0.00018142661],"domain_scores_gemma":[0.99818856,0.00011579386,0.00042042256,0.00008204564,0.0010475405,0.00014575283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035328112,0.0005936575,0.00040364216,0.0034568172,0.0005777984,0.0017867992,0.0006734421,0.00055442227,0.024886655],"category_scores_gemma":[0.0028646432,0.00033037062,0.0005574554,0.0063774665,0.0002038036,0.0013097004,0.0006749527,0.0014447488,0.012690291],"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":[0.00012975925,0.00004430979,0.02652937,0.00034096363,0.00004572152,0.00005634166,0.00006552998,0.0005014394,0.00017805999,0.0045473096,0.93559045,0.03197073],"study_design_scores_gemma":[0.000017782892,0.00002185623,0.17801444,0.0001931111,0.000036682883,0.00016590589,0.0003026169,0.0006288133,0.0010201568,0.0005375515,0.8190326,0.00002859919],"about_ca_topic_score_codex":0.19757873,"about_ca_topic_score_gemma":0.25401375,"teacher_disagreement_score":0.19757873,"about_ca_system_score_codex":0.002560313,"about_ca_system_score_gemma":0.0028099008,"threshold_uncertainty_score":0.39285737},"labels":[],"label_agreement":null},{"id":"W7009071774","doi":"","title":"Day4 Energy Reports Fourth Quarter and Full Year 2011 Results","year":2016,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Energy consumption; Field (mathematics)","score_opus":0.006479652692804284,"score_gpt":0.20729686577991407,"score_spread":0.20081721308710979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009071774","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":[0.0020878017,0.0005443313,0.00071857695,0.002133133,0.0024321817,0.00028865456,0.1561188,0.0013803567,0.8342961],"genre_scores_gemma":[0.0026908712,0.00042138874,0.0003268643,0.00039375018,0.00015473821,0.00013712341,0.04592549,0.000569004,0.94938076],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975141,0.0001516751,0.000086724205,0.00012820662,0.0017915117,0.00032771914],"domain_scores_gemma":[0.99692094,0.0002350526,0.00010301666,0.0002789834,0.0021685609,0.00029347022],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017033905,0.0013179529,0.00076569564,0.003742484,0.0017919273,0.006019132,0.0015487818,0.002080918,0.37390727],"category_scores_gemma":[0.004393926,0.0006590356,0.0013206418,0.004141568,0.0004024551,0.0022440325,0.0012861841,0.0020568878,0.29746702],"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":[0.00009423803,0.000055633267,0.000312809,0.00009619995,0.000005089327,0.000013087366,0.000010951749,0.0002005855,0.000092234266,0.0015050938,0.9865406,0.0110734245],"study_design_scores_gemma":[0.00003143549,0.000028288154,0.005029029,0.000103447324,0.00001120383,0.000016598646,0.00008681581,0.00023481413,0.00062198937,0.0008563507,0.992961,0.000018999159],"about_ca_topic_score_codex":0.090090044,"about_ca_topic_score_gemma":0.13860317,"teacher_disagreement_score":0.62609273,"about_ca_system_score_codex":0.0039873286,"about_ca_system_score_gemma":0.0084929615,"threshold_uncertainty_score":0.8930453},"labels":[],"label_agreement":null},{"id":"W7009423053","doi":"","title":"Electrification of home heating in Ontario with the air-source heat pump","year":2019,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Energy Efficiency and Management","field":"Energy","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":"Heat pump; Electrification; Renewable heat; Coefficient of performance; Work (physics); Greenhouse gas; Natural gas; Fossil fuel; Storage heater; Heating system","score_opus":0.004129903006963743,"score_gpt":0.16202678963271422,"score_spread":0.15789688662575047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009423053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722401,0.00012680882,0.0004964302,0.00045662257,0.000006446943,0.00003437024,0.00056393805,0.000013354645,0.026061887],"genre_scores_gemma":[0.9896734,0.00023510643,0.00039550927,0.000037847833,0.0000024109393,0.000013113959,0.00024628252,0.0000039933952,0.009392377],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997795,0.000022641745,0.0000038286985,0.000022222604,0.000085066255,0.00008672188],"domain_scores_gemma":[0.999754,0.000040698018,0.000039701525,0.000010792563,0.00010743739,0.000047398466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014746172,0.00011813743,0.000113927425,0.00018250142,0.0010108497,0.0005015867,0.00032700485,0.00017680178,0.0031334995],"category_scores_gemma":[0.0005244661,0.000095094,0.00023557429,0.00063117093,0.00036973675,0.00030016757,0.00031858886,0.00021588313,0.00013999244],"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":[0.000634843,0.000254152,0.7936194,0.00042983206,0.00008762751,0.0036845955,0.016925344,0.0259461,0.013430818,0.017358266,0.021755712,0.10587328],"study_design_scores_gemma":[0.00003331539,0.000091063805,0.9328203,0.00005347145,0.000029051109,0.000153838,0.011333522,0.014975888,0.0014123141,0.0005123808,0.038552612,0.000032215336],"about_ca_topic_score_codex":0.9782542,"about_ca_topic_score_gemma":0.9921745,"teacher_disagreement_score":0.021745801,"about_ca_system_score_codex":0.018443221,"about_ca_system_score_gemma":0.011958388,"threshold_uncertainty_score":0.13381553},"labels":[],"label_agreement":null},{"id":"W7009536890","doi":"","title":"Energy Efficiency as a Preferred Resource: Evidence from Utility Resource Plans in the Western United States and Canada","year":2008,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Energy Efficiency and Management","field":"Energy","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":"Permitting, Siting and Analysis; Office of Electricity; Office of Electricity Delivery and Energy Reliability; U.S. Department of Energy","keywords":"Efficient energy use; Portfolio; Revenue; Renewable portfolio standard; Resource efficiency; Renewable energy; Resource (disambiguation); Energy policy","score_opus":0.01317590678547666,"score_gpt":0.1640247277091594,"score_spread":0.15084882092368274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009536890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.847309,0.011636884,0.00043976313,0.0044882367,0.000054272095,0.0001560581,0.0036650093,0.00003256023,0.13221824],"genre_scores_gemma":[0.9870947,0.007137847,0.00026438903,0.0005858521,0.000008083871,0.000023044273,0.001212914,0.000017817443,0.0036552853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.993741,0.0004900099,0.0002616431,0.000377009,0.004259304,0.0008708969],"domain_scores_gemma":[0.97640854,0.0040347413,0.0032669597,0.0010067018,0.012914762,0.0023684243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040126136,0.00022125326,0.00039574152,0.002509758,0.004181968,0.0036360316,0.0014532864,0.00048693144,0.0030151329],"category_scores_gemma":[0.020255722,0.00031057853,0.0004691764,0.0071287085,0.0023889064,0.0011779526,0.0016430357,0.0011060875,0.00016911008],"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":[0.00033910855,0.00018727513,0.8888027,0.000444034,0.00022052792,0.00028917246,0.006005872,0.0009929461,0.00014997691,0.012542102,0.012168353,0.077857986],"study_design_scores_gemma":[0.000041147203,0.00006467125,0.93898475,0.0006303822,0.00014020494,0.00011411068,0.015513797,0.0005736858,0.00042448682,0.0006192058,0.04283636,0.000057218396],"about_ca_topic_score_codex":0.99380773,"about_ca_topic_score_gemma":0.99709225,"teacher_disagreement_score":0.038191143,"about_ca_system_score_codex":0.038191143,"about_ca_system_score_gemma":0.07222658,"threshold_uncertainty_score":0.2770974},"labels":[],"label_agreement":null},{"id":"W7011800240","doi":"","title":"Nova Scotia Power and Emera to Fund Energy Saving Retrofits at No Cost to Customers | Cincinnati Enquirer | Cincinnati News","year":2014,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Power (physics); Energy (signal processing); West virginia","score_opus":0.01613068114004782,"score_gpt":0.2549878225189015,"score_spread":0.2388571413788537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011800240","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":[0.0016052354,0.0019955484,0.00021907754,0.06424626,0.013990928,0.00016588079,0.002437955,0.0006288183,0.91471034],"genre_scores_gemma":[0.0014433016,0.00032735665,0.000054729535,0.0059503815,0.0004194569,0.000019789915,0.00024272437,0.00006248783,0.99147975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889237,0.000060084585,0.000025831043,0.00008338943,0.0005899225,0.00034848275],"domain_scores_gemma":[0.99871767,0.00011931296,0.000053414024,0.00008731362,0.00055356213,0.00046870727],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008559781,0.0010021606,0.000441961,0.00076699595,0.00456148,0.00583918,0.0011664568,0.009757574,0.33072096],"category_scores_gemma":[0.0021462026,0.0006993382,0.0007333838,0.0005744663,0.00075585453,0.0015298314,0.0018634453,0.006209017,0.103018075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012674319,0.000012212149,0.00009344392,0.000012210857,0.0000012025827,0.000046701047,0.00000834029,0.000013158208,0.00005234606,0.00055520306,0.99557686,0.0036157018],"study_design_scores_gemma":[0.000011683366,0.000008170356,0.00088326994,0.000028693492,0.00000170687,0.000020788044,0.000052958934,0.000032967477,0.000058946745,0.00011067767,0.9987832,0.000006999782],"about_ca_topic_score_codex":0.15571591,"about_ca_topic_score_gemma":0.5133188,"teacher_disagreement_score":0.84428406,"about_ca_system_score_codex":0.0046514217,"about_ca_system_score_gemma":0.0073760445,"threshold_uncertainty_score":0.95464534},"labels":[],"label_agreement":null},{"id":"W7014268165","doi":"","title":"Organizational behaviours to save energy: the case of lighting controls","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Government (linguistics); Quality (philosophy); Action (physics); Set (abstract data type)","score_opus":0.012020258130039329,"score_gpt":0.21980602171211677,"score_spread":0.20778576358207745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014268165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66158783,0.00016772386,0.005985344,0.019009365,0.00026994283,0.0002130503,0.000028750574,0.000046722314,0.31269127],"genre_scores_gemma":[0.9878499,0.00004035092,0.00058745604,0.00039995476,0.000021948059,0.00001765545,0.0000073146207,0.000010546572,0.01106488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9919191,0.0036654202,0.00019783598,0.0005192242,0.0020422041,0.0016562375],"domain_scores_gemma":[0.97261333,0.012471985,0.0032189453,0.0028520098,0.0064246547,0.0024191353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062169987,0.00023815925,0.00021409363,0.00097071653,0.0058448464,0.0050843023,0.0014770469,0.0035489136,0.011275389],"category_scores_gemma":[0.028094182,0.00015261037,0.0002874465,0.00053058035,0.006691856,0.0020034658,0.0021041788,0.0019548621,0.00059138896],"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":[0.00037040602,0.0014613221,0.10440758,0.0003080005,0.00012088408,0.015564641,0.15756339,0.003881037,0.006597621,0.53062624,0.047573518,0.1315253],"study_design_scores_gemma":[0.00021752268,0.00066549476,0.1739351,0.0005136645,0.000107930086,0.0033403696,0.41870984,0.01075166,0.006856046,0.101575114,0.28303176,0.0002955087],"about_ca_topic_score_codex":0.018040061,"about_ca_topic_score_gemma":0.021302145,"teacher_disagreement_score":0.018040061,"about_ca_system_score_codex":0.0035438167,"about_ca_system_score_gemma":0.0039940705,"threshold_uncertainty_score":0.037719905},"labels":[],"label_agreement":null},{"id":"W7014697470","doi":"","title":"Rapport d'étape sur le Code national de l'énergie pour les bâtiments","year":2009,"lang":"fr","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Field (mathematics); Energy (signal processing); Government (linguistics)","score_opus":0.03463645805195495,"score_gpt":0.25944609626988646,"score_spread":0.2248096382179315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014697470","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":[0.011557567,0.029124936,0.011404662,0.105864905,0.045866385,0.0007700772,0.013799971,0.0010365517,0.780575],"genre_scores_gemma":[0.026991855,0.005507101,0.0062849657,0.008136818,0.0008906129,0.00024722997,0.0025699406,0.00045961206,0.948912],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99422413,0.00033710717,0.00022365454,0.00032455503,0.0038025945,0.001087938],"domain_scores_gemma":[0.994669,0.0006571652,0.00012615242,0.0001938896,0.0040221363,0.00033163693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024665948,0.00086862384,0.0007807014,0.0023775797,0.005957013,0.006155567,0.0013839238,0.004062022,0.0260451],"category_scores_gemma":[0.006102196,0.00057610334,0.0007670537,0.0024987818,0.0016540247,0.0020387988,0.0014876348,0.00679283,0.0066407383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005746076,0.00003575122,0.0006509397,0.0001594255,0.00000882147,0.0002575942,0.001223153,0.0003240416,0.0010131735,0.079229824,0.8845831,0.032456685],"study_design_scores_gemma":[0.0000026884845,0.000003167377,0.0012768048,0.00006642806,0.000002468377,0.00002554663,0.00023607344,0.0000503588,0.00028789337,0.00057181047,0.99746406,0.000012690549],"about_ca_topic_score_codex":0.8987183,"about_ca_topic_score_gemma":0.90562326,"teacher_disagreement_score":0.8987183,"about_ca_system_score_codex":0.02447807,"about_ca_system_score_gemma":0.062270157,"threshold_uncertainty_score":0.20375627},"labels":[],"label_agreement":null},{"id":"W7014981812","doi":"","title":"The Scarborough Hospital Receives Infrastructure Upgrades through Energy Contract with Ameresco Canada - Commodities (COMMODIT) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Government (linguistics); Contract management; Production (economics); Work (physics)","score_opus":0.0034177076406485736,"score_gpt":0.1807384322742794,"score_spread":0.17732072463363083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014981812","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":[0.001508132,0.001038903,0.00026416,0.06259379,0.0100054685,0.00009490443,0.0031899638,0.000665851,0.92063886],"genre_scores_gemma":[0.0026110325,0.0005658921,0.00008765657,0.004992828,0.00083002576,0.000015376747,0.00079793605,0.00015646439,0.9899429],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850523,0.00007400542,0.000031264346,0.000075020296,0.0008297218,0.00048473646],"domain_scores_gemma":[0.9967025,0.00029111622,0.00007729541,0.00012558734,0.0013087693,0.00149467],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009214226,0.0007621962,0.00037565466,0.00120796,0.0023071198,0.005224711,0.0010770244,0.0063993083,0.32370177],"category_scores_gemma":[0.004349455,0.00048386844,0.00086272735,0.0009215236,0.0010503883,0.0014270575,0.001408177,0.0045771087,0.08218119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011364058,0.000009694348,0.00009213544,0.000007971349,9.33002e-7,0.00004800421,0.000006641385,0.000017760187,0.000026091448,0.00073356804,0.9938731,0.0051727532],"study_design_scores_gemma":[0.000014344222,0.000013941201,0.0012793277,0.000041472158,0.000002014538,0.000047870835,0.00007597558,0.00007398071,0.00009393979,0.00032995018,0.99801767,0.000009433134],"about_ca_topic_score_codex":0.11477933,"about_ca_topic_score_gemma":0.36437014,"teacher_disagreement_score":0.88522065,"about_ca_system_score_codex":0.0058690766,"about_ca_system_score_gemma":0.012054648,"threshold_uncertainty_score":0.96465737},"labels":[],"label_agreement":null},{"id":"W7015278701","doi":"","title":"Special public review on energy efficiency requirements for housing and small buildings","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Energy (signal processing); Energy conservation; Economic efficiency; Energy policy","score_opus":0.0708728238651425,"score_gpt":0.2592852363453125,"score_spread":0.18841241248017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015278701","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072886418,0.6337098,0.003210881,0.08912948,0.13517165,0.00024885428,0.0038917263,0.00038817903,0.12696086],"genre_scores_gemma":[0.03690871,0.5629512,0.0023036737,0.022999821,0.053638235,0.0002778484,0.0075108553,0.00039925397,0.31301036],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998139,0.00019555325,0.0001979582,0.000137344,0.0010911089,0.000238944],"domain_scores_gemma":[0.9915571,0.0009050534,0.0006508773,0.0002540594,0.0063405046,0.0002923757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033828507,0.001186935,0.0012715118,0.0030455496,0.0006480325,0.0021031557,0.0013067463,0.002900367,0.019878484],"category_scores_gemma":[0.0040780664,0.00041064748,0.00074830354,0.0029633117,0.00055490655,0.0018658956,0.0012898498,0.0018555269,0.0076055457],"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":[0.00011820536,0.00011399343,0.00049345416,0.0028208345,0.000039769882,0.00014269113,0.0000735505,0.00026649903,0.0020397338,0.0027600622,0.85280806,0.13832311],"study_design_scores_gemma":[0.000006578691,0.000048858874,0.0020870601,0.00062285556,0.000023264947,0.00006400556,0.00006339829,0.00003658422,0.00035947803,0.00022788772,0.9964522,0.000007823908],"about_ca_topic_score_codex":0.014829384,"about_ca_topic_score_gemma":0.028978515,"teacher_disagreement_score":0.019878484,"about_ca_system_score_codex":0.0024375604,"about_ca_system_score_gemma":0.0074321423,"threshold_uncertainty_score":0.06650013},"labels":[],"label_agreement":null},{"id":"W7015541509","doi":"","title":"Talen Energy Schedules Fourth Quarter and Fiscal Year 2020 Results Conference Call","year":2021,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fiscal year; Energy (signal processing); Efficient energy use; Energy conservation","score_opus":0.011414965948702624,"score_gpt":0.2202225944547538,"score_spread":0.2088076285060512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015541509","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":[0.0009115403,0.00035106146,0.0006615474,0.0036893399,0.007088077,0.00030151298,0.008142924,0.0014489092,0.977405],"genre_scores_gemma":[0.0007558271,0.00013703873,0.00013621368,0.00061634416,0.00017136459,0.00006404648,0.0022433556,0.0002363447,0.99563944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991559,0.00006672877,0.000018489607,0.000051026134,0.000550003,0.00015784526],"domain_scores_gemma":[0.99852484,0.00010896425,0.000038452374,0.00006980551,0.0006444224,0.00061353855],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016031722,0.0013330671,0.00077880884,0.0018403762,0.00235158,0.005863598,0.0012376227,0.0041388925,0.70551485],"category_scores_gemma":[0.0025084312,0.00061255955,0.0010081135,0.0009874146,0.00041996388,0.0017766511,0.0019403618,0.0024479248,0.6140294],"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":[0.000035299192,0.00003767964,0.000040474504,0.000019672178,0.0000012395739,0.000010127673,0.0000041206226,0.00007072598,0.000049774713,0.00060211844,0.99122626,0.007902532],"study_design_scores_gemma":[0.00003161175,0.000030073465,0.00044251166,0.000031571803,0.000002680536,0.000009142824,0.00005772384,0.00017221704,0.00009291351,0.00054338685,0.998577,0.000009208392],"about_ca_topic_score_codex":0.022122918,"about_ca_topic_score_gemma":0.05747663,"teacher_disagreement_score":0.29448515,"about_ca_system_score_codex":0.0017022403,"about_ca_system_score_gemma":0.005144624,"threshold_uncertainty_score":0.42004728},"labels":[],"label_agreement":null},{"id":"W7016086316","doi":"","title":"Volvo Car Canada Ltd. partners with Bullfrog Power for green electricity","year":2021,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bullfrog; Electricity; Power (physics); Mains electricity; Renewable energy; Electricity generation","score_opus":0.007716968028319382,"score_gpt":0.21954298551551302,"score_spread":0.21182601748719362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7016086316","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":[0.00072821695,0.0010699284,0.0016894179,0.00418403,0.0009125076,0.00007770654,0.0037603914,0.0012194007,0.98635834],"genre_scores_gemma":[0.0030865138,0.0005229359,0.00054743193,0.00034304542,0.00002144905,0.000013600911,0.0017534142,0.0003819976,0.9933296],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884653,0.000043704833,0.000016827811,0.00012876914,0.00075988186,0.00020425006],"domain_scores_gemma":[0.99763787,0.000090912894,0.00003228881,0.00008494704,0.0017862145,0.0003678514],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067234645,0.0011280972,0.0005182207,0.001583403,0.003845169,0.0047292174,0.0010822064,0.0030311616,0.47040161],"category_scores_gemma":[0.0016024894,0.0005675309,0.00052828295,0.0021145279,0.00096353085,0.0025963401,0.0017158737,0.0025662382,0.21123487],"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":[0.000044019667,0.000046390487,0.0003716387,0.00009348811,0.000004392902,0.000059384605,0.000056344234,0.00023663964,0.0005149332,0.011711078,0.9210388,0.06582287],"study_design_scores_gemma":[0.0000052644677,0.0000066904768,0.00031352043,0.00003212026,0.000002406645,0.000024279427,0.00008825422,0.00029385014,0.00023847011,0.0007367822,0.9982526,0.0000057745856],"about_ca_topic_score_codex":0.5812387,"about_ca_topic_score_gemma":0.798397,"teacher_disagreement_score":0.47040161,"about_ca_system_score_codex":0.007611252,"about_ca_system_score_gemma":0.017172765,"threshold_uncertainty_score":0.84245497},"labels":[],"label_agreement":null},{"id":"W7017920997","doi":"","title":"Buildings in British Columbia use a lot of energy. Better energy efficiency in our building stock would reduce pollution, conserve valuable resources, save money and create jobs.","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Stock (firearms); Energy consumption; Operational efficiency; Renewable energy","score_opus":0.016123936034959114,"score_gpt":0.23378952369902212,"score_spread":0.217665587664063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017920997","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":[0.008645408,0.0019759787,0.0005334092,0.0025194641,0.00021740182,0.00010051595,0.017543137,0.00052053796,0.9679441],"genre_scores_gemma":[0.016417367,0.0018013692,0.0004933608,0.00032136528,0.00001678698,0.000035661717,0.007844977,0.00017270118,0.97289634],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994941,0.000020710637,0.000011269867,0.000035451812,0.00028642575,0.00015204372],"domain_scores_gemma":[0.9989679,0.000050154562,0.000029883295,0.000042788663,0.0006420653,0.00026720684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026449544,0.00077367015,0.00024361022,0.0020585095,0.0056501003,0.0038260336,0.0010269573,0.001229695,0.20317617],"category_scores_gemma":[0.00111047,0.00038433165,0.00030311293,0.0037857038,0.00065522693,0.0009928548,0.0016451167,0.0013320678,0.03512249],"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":[0.000039011156,0.000089964495,0.0053579584,0.00028636638,0.0000070075484,0.00018370058,0.0002438823,0.00044747975,0.00042613407,0.008123377,0.82205373,0.16274136],"study_design_scores_gemma":[0.0000065356394,0.000010563555,0.023964724,0.00020028879,0.000007325442,0.00007728098,0.0008280107,0.00032790867,0.00055757974,0.0010609033,0.9729402,0.000018617664],"about_ca_topic_score_codex":0.91414493,"about_ca_topic_score_gemma":0.9852905,"teacher_disagreement_score":0.20317617,"about_ca_system_score_codex":0.014141499,"about_ca_system_score_gemma":0.024951886,"threshold_uncertainty_score":0.67969203},"labels":[],"label_agreement":null},{"id":"W7017992648","doi":"","title":"Clean Energy Market Leading players ABB Group, Tata Power Company Limited, Renewable Energy Group, Motech Industries , Inox Wind , Hanergy Film Power Generation Group , Enel Green Power , Canadian Solar , Pacific Ethanol","year":2019,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Electricity generation; Wind power; Solar energy; Solar power; Clean energy; Photovoltaic system; Power (physics); Feed-in tariff","score_opus":0.014296895516003952,"score_gpt":0.2008034046563665,"score_spread":0.18650650914036254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017992648","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":[0.00071431685,0.00033574365,0.00045997938,0.0011594711,0.0005681049,0.00007249225,0.0053681172,0.00059683376,0.9907251],"genre_scores_gemma":[0.0030352476,0.00047993113,0.00032649524,0.00031297543,0.00013031774,0.00003397428,0.0034354408,0.00029191474,0.9919538],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995228,0.00002239388,0.000008800627,0.000050050654,0.00028494938,0.00011105091],"domain_scores_gemma":[0.9980385,0.00009249237,0.00006547567,0.000073939365,0.0008969684,0.00083277916],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004572684,0.0011162445,0.0002673816,0.0029845042,0.0019506791,0.004436772,0.000784392,0.0014997799,0.5080009],"category_scores_gemma":[0.0013072859,0.00039166916,0.00041850473,0.00261373,0.000537186,0.0027655622,0.0014399204,0.0016719191,0.3599866],"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":[0.000028744487,0.000052246436,0.00023572448,0.000047741898,0.0000010925914,0.000027960783,0.00001661352,0.0000572438,0.00023649815,0.0055079265,0.9444356,0.049352553],"study_design_scores_gemma":[0.000009154975,0.000012663564,0.0007482364,0.000041014027,0.0000013027843,0.00001886459,0.000048919355,0.00014516433,0.00028721904,0.0010250598,0.99765813,0.000004303616],"about_ca_topic_score_codex":0.014451511,"about_ca_topic_score_gemma":0.0423206,"teacher_disagreement_score":0.5080009,"about_ca_system_score_codex":0.0021090736,"about_ca_system_score_gemma":0.00443354,"threshold_uncertainty_score":0.701777},"labels":[],"label_agreement":null},{"id":"W7018712785","doi":"","title":"Enphase Energy Reports Financial Results for the Third Quarter of 2018","year":2018,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Term (time); Energy consumption; Work (physics)","score_opus":0.010860966575463392,"score_gpt":0.23806865395344712,"score_spread":0.22720768737798372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018712785","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":[0.0013584942,0.00086888834,0.00064145576,0.004914196,0.004033818,0.00013373772,0.023210784,0.001036104,0.96380246],"genre_scores_gemma":[0.003330051,0.000736484,0.00024594076,0.00046010743,0.0003144433,0.00005616498,0.008991143,0.00041372192,0.9854519],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986797,0.000076843105,0.000035644756,0.00006843594,0.0009643232,0.0001750951],"domain_scores_gemma":[0.99835134,0.0001459694,0.00010013814,0.00011789417,0.0010515573,0.00023316058],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010980923,0.0012231411,0.0006492767,0.0026743438,0.0015360483,0.006311448,0.0013795195,0.0030986215,0.36661983],"category_scores_gemma":[0.004263849,0.00033425755,0.0006210408,0.0025527633,0.000596372,0.0025084182,0.0015319196,0.0023478689,0.29253888],"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":[0.00009862103,0.00007609585,0.0002167306,0.00006294271,0.000004015202,0.000035813602,0.0000091273005,0.00014487008,0.00013845567,0.006080224,0.972038,0.021095106],"study_design_scores_gemma":[0.000026106,0.000023852712,0.00086188014,0.00007203026,0.0000041021353,0.000022177965,0.000053341882,0.00036823188,0.00045468964,0.001800293,0.996305,0.000008208407],"about_ca_topic_score_codex":0.01832066,"about_ca_topic_score_gemma":0.023805192,"teacher_disagreement_score":0.36661983,"about_ca_system_score_codex":0.0027813246,"about_ca_system_score_gemma":0.005350775,"threshold_uncertainty_score":0.90343994},"labels":[],"label_agreement":null},{"id":"W7020492587","doi":"","title":"Le Code national de l'énergie pour les bâtiments : Canada 2011 sera publié à l'automne","year":2011,"lang":"fr","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Government (linguistics); Field (mathematics); Context (archaeology)","score_opus":0.02897785160109189,"score_gpt":0.224123598904339,"score_spread":0.1951457473032471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020492587","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":[0.008725195,0.008251621,0.00610248,0.032011323,0.0091600735,0.00076627155,0.047057323,0.001949766,0.88597596],"genre_scores_gemma":[0.020141847,0.0032247168,0.0041717263,0.0030094322,0.00017038686,0.00021471301,0.006919146,0.0005640542,0.96158403],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99202204,0.00025026556,0.00028401703,0.00030394248,0.005596295,0.0015433383],"domain_scores_gemma":[0.9882284,0.0005107201,0.00018613478,0.00039419954,0.010118009,0.0005626393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002230995,0.0011654538,0.0010468988,0.0031259716,0.009048276,0.007642192,0.0021422438,0.0046939636,0.06411225],"category_scores_gemma":[0.0074664718,0.0011548277,0.0010753159,0.005528664,0.0021447702,0.0017395928,0.0017620374,0.0058967574,0.018577589],"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":[0.00006695215,0.00005584221,0.0013000239,0.00018581827,0.000013683901,0.0000661219,0.00041232738,0.0006288321,0.00083342876,0.05225844,0.9183001,0.025878385],"study_design_scores_gemma":[0.000009147983,0.0000055294263,0.0046279575,0.00010226753,0.0000075656103,0.000018728068,0.00022115417,0.00015303235,0.00037749333,0.00090144674,0.9935411,0.000034647488],"about_ca_topic_score_codex":0.98980474,"about_ca_topic_score_gemma":0.99221206,"teacher_disagreement_score":0.07101831,"about_ca_system_score_codex":0.07101831,"about_ca_system_score_gemma":0.25649008,"threshold_uncertainty_score":0.5152763},"labels":[],"label_agreement":null},{"id":"W7020767038","doi":"","title":"$211.75 Million in Sales Expected for Clearway Energy Inc (CWEN) This Quarter","year":2019,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Energy consumption; Work (physics); Electricity","score_opus":0.009283765781309706,"score_gpt":0.2231941366516492,"score_spread":0.21391037087033948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020767038","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":[0.0011765602,0.00041542033,0.000551378,0.0013042693,0.0014415875,0.00007351278,0.0064885053,0.001477398,0.98707145],"genre_scores_gemma":[0.001661721,0.00023833901,0.00011284071,0.00025029364,0.00008383315,0.000016677053,0.002925625,0.00017776308,0.9945328],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973863,0.000014927906,0.000008332691,0.000037493985,0.00015505662,0.000045488854],"domain_scores_gemma":[0.9997148,0.00001750368,0.000013169673,0.00001676123,0.00013704477,0.00010063301],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022748172,0.0009606192,0.0003172519,0.0012248211,0.0010611882,0.0025167526,0.0005374205,0.0010912305,0.643479],"category_scores_gemma":[0.0007478744,0.0003206585,0.0004562261,0.00084471365,0.00039124893,0.0017496739,0.0013122751,0.0012978986,0.57108706],"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":[0.000031039,0.000023737994,0.00012565964,0.000033386223,0.0000011894933,0.000012837761,0.000009266068,0.00006279954,0.0002444731,0.00092882453,0.973658,0.024868686],"study_design_scores_gemma":[0.000011240237,0.00002162197,0.0007722948,0.000045677123,0.0000017768701,0.000021934251,0.00006075308,0.00015325865,0.00015654453,0.00033612413,0.9984132,0.0000055004593],"about_ca_topic_score_codex":0.018173916,"about_ca_topic_score_gemma":0.040699422,"teacher_disagreement_score":0.643479,"about_ca_system_score_codex":0.0011317801,"about_ca_system_score_gemma":0.0014822687,"threshold_uncertainty_score":0.50853395},"labels":[],"label_agreement":null},{"id":"W7021265109","doi":"","title":"Nouveaux membres recherchés pour le comité responsable de la mise à jour du Code national de l'énergie pour les bâtiments","year":2010,"lang":"fr","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Context (archaeology); Selection (genetic algorithm); Field (mathematics)","score_opus":0.026831035847176707,"score_gpt":0.29192246158216967,"score_spread":0.26509142573499295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7021265109","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":[0.016353423,0.030458359,0.030085642,0.3007783,0.055434473,0.000808994,0.0046649207,0.0016910642,0.5597249],"genre_scores_gemma":[0.028461633,0.007863691,0.012131936,0.006824933,0.0020339414,0.00029212143,0.0018094649,0.0013251945,0.93925714],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9770039,0.00400587,0.0008615941,0.0012895421,0.014526816,0.0023122446],"domain_scores_gemma":[0.92472756,0.0082703065,0.0022092497,0.0029703225,0.053493477,0.008328998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019869711,0.0010908616,0.0009362431,0.0027652031,0.00607898,0.00915538,0.0026051125,0.006399914,0.07487415],"category_scores_gemma":[0.037735086,0.0006377256,0.0010055087,0.002522356,0.0024277037,0.0039204266,0.0051929587,0.0071162786,0.0256018],"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":[0.00018509972,0.0001437681,0.0017154432,0.00040930693,0.00002442239,0.00032714102,0.0034064963,0.00045809196,0.006081983,0.057902627,0.8231475,0.10619816],"study_design_scores_gemma":[0.000008064112,0.000023775434,0.0012035947,0.00017051947,0.000007030291,0.000069811875,0.0009580413,0.00016215796,0.0021288993,0.00090642914,0.99433374,0.000027908336],"about_ca_topic_score_codex":0.07219541,"about_ca_topic_score_gemma":0.08020562,"teacher_disagreement_score":0.07487415,"about_ca_system_score_codex":0.0112986695,"about_ca_system_score_gemma":0.036141813,"threshold_uncertainty_score":0.25047898},"labels":[],"label_agreement":null},{"id":"W7023900809","doi":"","title":"Partnership with Energy Optimizers, USA, expected to net nearly $73,000 savings annually for Ottawa-Glandorf Local Schools","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"General partnership; Energy (signal processing); Energy consumption; Work (physics); Net energy; Efficient energy use","score_opus":0.013968539226776672,"score_gpt":0.24141307755570998,"score_spread":0.2274445383289333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023900809","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":[0.0043396764,0.0010680914,0.0022277639,0.010414881,0.0015622402,0.00029367622,0.01678917,0.0026356848,0.9606688],"genre_scores_gemma":[0.005575501,0.00043777341,0.00076901115,0.00050855154,0.000036191268,0.000031290238,0.0030744816,0.0002845404,0.9892827],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945754,0.00004126766,0.0000088334755,0.00005884063,0.0002943769,0.00013908696],"domain_scores_gemma":[0.99906856,0.00004365147,0.000025572672,0.00003168736,0.00039080242,0.0004397729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006512664,0.0010008138,0.00028743502,0.0010840115,0.0017316575,0.0028383606,0.00088365015,0.0020570445,0.27567652],"category_scores_gemma":[0.0013147346,0.0004978668,0.0004363346,0.0010460324,0.00050692,0.0020554154,0.0014850313,0.0020251994,0.11646391],"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":[0.000067147135,0.00014330297,0.00056270446,0.00005109839,0.0000055396335,0.000028230248,0.000023366007,0.00027322723,0.00034534172,0.003101255,0.9577187,0.03768006],"study_design_scores_gemma":[0.000037790283,0.000038308048,0.002521476,0.000061610954,0.0000068717204,0.000023381692,0.0001486447,0.00051799504,0.000452716,0.0006992798,0.9954821,0.000009820106],"about_ca_topic_score_codex":0.21079981,"about_ca_topic_score_gemma":0.47515142,"teacher_disagreement_score":0.27567652,"about_ca_system_score_codex":0.0042218016,"about_ca_system_score_gemma":0.013279598,"threshold_uncertainty_score":0.9222298},"labels":[],"label_agreement":null},{"id":"W7024276488","doi":"","title":"Rogers Corporation Reports 2014 Fourth Quarter and Year-End Results - Energy (ENERGY01) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Quarter (Canadian coin); Energy (signal processing)","score_opus":0.011133740799338444,"score_gpt":0.21399215446105732,"score_spread":0.2028584136617189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024276488","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":[0.0011903145,0.00116104,0.0006353565,0.020036478,0.014248462,0.00012660814,0.0040261257,0.0026502467,0.95592546],"genre_scores_gemma":[0.0016357943,0.00029864509,0.0001474136,0.002032364,0.0004326884,0.000020488567,0.000976476,0.00030470995,0.9941514],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997038,0.00015156396,0.0000676858,0.00015070148,0.0021891273,0.0004030101],"domain_scores_gemma":[0.9973695,0.00039866514,0.00008958993,0.00023560779,0.0013835441,0.000522978],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001933477,0.0011042183,0.00061903667,0.0023472032,0.0022550302,0.009708095,0.0011429448,0.005554566,0.37266994],"category_scores_gemma":[0.0064130784,0.0005743442,0.0013874659,0.0011368981,0.00082940934,0.0029916693,0.001598534,0.004484019,0.29323468],"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":[0.000022189966,0.000029618252,0.00006852626,0.00001343599,0.0000018599728,0.000022493154,0.0000069023645,0.000020578316,0.00007241053,0.0018185562,0.9891734,0.008750002],"study_design_scores_gemma":[0.000011376899,0.000020912948,0.0005412756,0.00002819308,0.000004182837,0.000017894226,0.00004584326,0.00008091836,0.00025099717,0.00059266156,0.9983961,0.000009597245],"about_ca_topic_score_codex":0.02471287,"about_ca_topic_score_gemma":0.057655256,"teacher_disagreement_score":0.37266994,"about_ca_system_score_codex":0.0025728203,"about_ca_system_score_gemma":0.0055008368,"threshold_uncertainty_score":0.8948102},"labels":[],"label_agreement":null},{"id":"W7024466522","doi":"","title":"RGS Energy Reports Second Quarter 2015 Results | Reuters","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Energy consumption; Term (time)","score_opus":0.009949968244871642,"score_gpt":0.22897642470882443,"score_spread":0.21902645646395277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024466522","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":[0.0010523725,0.0014344616,0.0006842621,0.0036653013,0.0026091356,0.0001541643,0.05562284,0.002432229,0.9323452],"genre_scores_gemma":[0.0031750181,0.0011684853,0.0004811427,0.00057586044,0.0003531583,0.00007881237,0.02533264,0.001158759,0.9676761],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982981,0.000112018155,0.00006489905,0.00014742902,0.001185156,0.00019247227],"domain_scores_gemma":[0.9980281,0.00019415036,0.00009473103,0.0002637875,0.0010973314,0.00032197754],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001846612,0.0013604959,0.0008466489,0.00408099,0.0015031263,0.0069193747,0.0013542108,0.0018021298,0.5158775],"category_scores_gemma":[0.0040445686,0.000491723,0.0010425185,0.0038060122,0.00049940177,0.0020891053,0.0017144881,0.002052495,0.41729766],"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":[0.000049282484,0.000036182217,0.00014102746,0.0000926262,0.000004773805,0.000014182922,0.000008867967,0.00010756053,0.00007565787,0.0020801548,0.976948,0.020441696],"study_design_scores_gemma":[0.000016934076,0.000015569058,0.00090173545,0.00009653712,0.000005778186,0.00001296453,0.000027833012,0.00012668791,0.0003674075,0.0008796652,0.9975413,0.0000075768694],"about_ca_topic_score_codex":0.027755005,"about_ca_topic_score_gemma":0.037124228,"teacher_disagreement_score":0.5158775,"about_ca_system_score_codex":0.003227478,"about_ca_system_score_gemma":0.0048567145,"threshold_uncertainty_score":0.690542},"labels":[],"label_agreement":null},{"id":"W7024919923","doi":"","title":"SustainCo Inc. Announces Work Orders of Over $550,000 for Energy Management and Related General Contracting Work at CFB Borden, Ontario - Industrial Goods (INDUSGDS) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Energy management; Energy (signal processing); Work order; Order (exchange); Efficient energy use","score_opus":0.01951754928610103,"score_gpt":0.23790700366581152,"score_spread":0.2183894543797105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024919923","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":[0.0012181352,0.00071055436,0.0006677327,0.00880625,0.00409909,0.000096587064,0.008633464,0.0022012377,0.97356695],"genre_scores_gemma":[0.0018794256,0.0002645888,0.00011109077,0.0007507049,0.00020419141,0.000014495359,0.0028609703,0.00029528106,0.99361914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988605,0.000033670105,0.000020635618,0.00006756017,0.0008584546,0.00015926785],"domain_scores_gemma":[0.99794286,0.00014736067,0.000047424448,0.00011879094,0.0012397002,0.0005037963],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008816171,0.00070284825,0.00030389047,0.0012985775,0.0024067345,0.005288363,0.00065194385,0.0025675627,0.42003274],"category_scores_gemma":[0.0025120296,0.00039910217,0.0005933758,0.0012222433,0.0005884425,0.0017869174,0.0010021973,0.0020623638,0.21980666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001632738,0.000009895834,0.00009076812,0.000016029198,7.4323447e-7,0.000021760075,0.00001102972,0.000014343179,0.00012413418,0.0012089276,0.99167585,0.006810197],"study_design_scores_gemma":[0.000005860709,0.000008611957,0.0007288653,0.000019227433,0.0000011558815,0.000017178958,0.00005076495,0.000064514395,0.00017675485,0.00025701255,0.9986652,0.0000048371444],"about_ca_topic_score_codex":0.08476786,"about_ca_topic_score_gemma":0.22429162,"teacher_disagreement_score":0.9152321,"about_ca_system_score_codex":0.002719552,"about_ca_system_score_gemma":0.004523072,"threshold_uncertainty_score":0.8272529},"labels":[],"label_agreement":null},{"id":"W7028114029","doi":"","title":"Energy Vault Reports First Quarter 2022 Earnings Results","year":2022,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Vault (architecture); Quarter (Canadian coin); Energy (signal processing)","score_opus":0.005583047988082125,"score_gpt":0.2000983154019473,"score_spread":0.19451526741386518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028114029","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":[0.008505345,0.0015380832,0.000746104,0.0058938097,0.005454869,0.0002567559,0.38002068,0.0021153758,0.595469],"genre_scores_gemma":[0.012282853,0.0010524065,0.00050060323,0.0009890009,0.00036331025,0.00017785396,0.11762787,0.0005009674,0.86650515],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988939,0.000064822576,0.0000451633,0.000057137793,0.00077483314,0.00016423583],"domain_scores_gemma":[0.9980494,0.00020489657,0.00015830115,0.000078986,0.0012868547,0.00022158553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011657581,0.0013991672,0.0005781041,0.0035156738,0.000984467,0.0041092504,0.001075777,0.0017437123,0.16352999],"category_scores_gemma":[0.0033119805,0.00037023463,0.0007409599,0.003206887,0.00021103754,0.0010667609,0.00069957686,0.0014456034,0.110171065],"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":[0.000078144665,0.00003966094,0.0005574318,0.000038366208,0.0000044030025,0.000023022436,0.0000060149036,0.00021931436,0.00004324874,0.00093337713,0.98811555,0.009941477],"study_design_scores_gemma":[0.00007773644,0.000057791247,0.011930773,0.00012219771,0.000018111024,0.000026103613,0.00010829526,0.0010485857,0.000589197,0.001103109,0.9848876,0.000030546256],"about_ca_topic_score_codex":0.122613594,"about_ca_topic_score_gemma":0.12311571,"teacher_disagreement_score":0.16352999,"about_ca_system_score_codex":0.002603448,"about_ca_system_score_gemma":0.003624366,"threshold_uncertainty_score":0.54706234},"labels":[],"label_agreement":null},{"id":"W7031450072","doi":"","title":"Marietta, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Front (military); George (robot); West virginia; Quarter (Canadian coin)","score_opus":0.005845451269058716,"score_gpt":0.18672587005206526,"score_spread":0.18088041878300654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7031450072","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":[0.0015023985,0.002018327,0.00045109921,0.0015960137,0.0012665202,0.000074290576,0.004016455,0.00053679926,0.98853815],"genre_scores_gemma":[0.0037481093,0.0014810367,0.00035520582,0.0003688654,0.00011908251,0.000056701072,0.001500438,0.00019393885,0.9921766],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993747,0.00004209645,0.000027267808,0.00025459004,0.00020936954,0.00009200701],"domain_scores_gemma":[0.99918574,0.00012498841,0.0000540648,0.00007666532,0.00025542558,0.00030310737],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042336906,0.0015487449,0.0006403152,0.0012221972,0.0036977476,0.0045400453,0.001014701,0.0017821827,0.842239],"category_scores_gemma":[0.0012938831,0.00060164725,0.0005332977,0.0016310619,0.0005395403,0.0023250475,0.0021703194,0.001835681,0.58232033],"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":[0.00013204207,0.00025404754,0.0018245602,0.00023943845,0.00001440196,0.0005213575,0.0002850333,0.00012034452,0.00087272027,0.0050054328,0.7879505,0.20278014],"study_design_scores_gemma":[0.000016338288,0.000023175462,0.0020278373,0.00013371465,0.0000046356054,0.00016004159,0.0001946758,0.000076467404,0.00011287728,0.00041672235,0.9968258,0.000007821543],"about_ca_topic_score_codex":0.0118664475,"about_ca_topic_score_gemma":0.03552201,"teacher_disagreement_score":0.842239,"about_ca_system_score_codex":0.0013428676,"about_ca_system_score_gemma":0.0024156359,"threshold_uncertainty_score":0.22502679},"labels":[],"label_agreement":null},{"id":"W7034553266","doi":"","title":"Using Seismic Expression of Contourite Drifts to Understand Mud-dominated Depositional Systems: Insights from the Newfoundland Ridge, offshore Canada","year":2013,"lang":"en","type":"article","venue":"Research Padua  Archive (University of Padua)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contourite; Sedimentary depositional environment; Submarine pipeline; Expression (computer science); Palaeogeography","score_opus":0.03907186328613529,"score_gpt":0.25369425165162923,"score_spread":0.21462238836549394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034553266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839642,0.00024917172,0.001569546,0.0002266062,0.0000053540807,0.000016914195,0.0010249532,0.0000364306,0.012906787],"genre_scores_gemma":[0.9964786,0.00023473063,0.0011041663,0.000018520677,0.000001902087,0.0000045690526,0.00023868373,0.000016362828,0.0019025898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992025,0.000005267,0.0000031790335,0.000015775742,0.000022263153,0.000033203905],"domain_scores_gemma":[0.9998461,0.000022752633,0.000027311336,0.0000073206293,0.00007570646,0.000020817552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014200035,0.00028067996,0.00016918861,0.0014358438,0.0010601352,0.0013522846,0.0004078446,0.00028426253,0.0015981649],"category_scores_gemma":[0.0005099429,0.00018915784,0.00014559271,0.002501034,0.00063018966,0.00037202184,0.00042816784,0.0003476549,0.0001716987],"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":[0.00015347339,0.000079111254,0.85954523,0.00009641268,0.00010857122,0.0010568235,0.00843115,0.014910155,0.04394676,0.0026998364,0.0022580826,0.06671442],"study_design_scores_gemma":[0.0000046297173,0.000008583907,0.98471767,0.000023749011,0.000017893166,0.00007051371,0.0047293943,0.0069503943,0.000919243,0.00021090792,0.0023313274,0.00001566999],"about_ca_topic_score_codex":0.92255723,"about_ca_topic_score_gemma":0.97733545,"teacher_disagreement_score":0.077442765,"about_ca_system_score_codex":0.00446925,"about_ca_system_score_gemma":0.004125698,"threshold_uncertainty_score":0.15579766},"labels":[],"label_agreement":null},{"id":"W7035192385","doi":"","title":"ZBB Energy Corporation Reports Second Quarter 2013 Results","year":2013,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Corporation; Energy (signal processing); Energy consumption; Government (linguistics)","score_opus":0.007912068742635878,"score_gpt":0.19775372322659493,"score_spread":0.18984165448395907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7035192385","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":[0.0028186343,0.00041378447,0.001981384,0.0041730828,0.0018716414,0.000467059,0.084026545,0.0023682099,0.90187967],"genre_scores_gemma":[0.0051766885,0.00037836726,0.0009780921,0.0009861375,0.00016589541,0.00022442546,0.035206784,0.0008522317,0.9560313],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99431926,0.00029716865,0.00014089947,0.00027560352,0.0041743135,0.00079270586],"domain_scores_gemma":[0.99115515,0.00070533465,0.00021870981,0.0006793569,0.0065121036,0.0007293307],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038723934,0.0012968095,0.000883561,0.0050796373,0.0030784719,0.008105875,0.001722391,0.0021274833,0.34119567],"category_scores_gemma":[0.007559441,0.0006073033,0.001674539,0.0046371445,0.00069741806,0.0021217542,0.0018145631,0.0029356717,0.28180036],"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":[0.0000979979,0.00009246897,0.00047767404,0.000060282473,0.000005873547,0.000017511842,0.000013467859,0.00020685447,0.0001232591,0.0023424888,0.9802597,0.01630229],"study_design_scores_gemma":[0.000039098613,0.000034204917,0.005030085,0.000064919615,0.000016601036,0.000021269349,0.000115012816,0.00045341236,0.0014306965,0.001159261,0.99161446,0.000021103708],"about_ca_topic_score_codex":0.10520688,"about_ca_topic_score_gemma":0.14487772,"teacher_disagreement_score":0.34119567,"about_ca_system_score_codex":0.0059348037,"about_ca_system_score_gemma":0.012928935,"threshold_uncertainty_score":0.9397044},"labels":[],"label_agreement":null},{"id":"W7036200112","doi":"","title":"Bacterial transport in granular porous media: the effects of cell concentration and media pre-coating","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canadian Water Network","keywords":"Porous medium; Escherichia coli; Bacteria; Water column; Porosity; Cell","score_opus":0.005465107063697869,"score_gpt":0.2010083396827842,"score_spread":0.19554323261908632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036200112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961314,0.0005521566,0.0018689417,0.00006793906,0.00002655781,0.000040443105,0.00025348086,0.000029923349,0.0010290194],"genre_scores_gemma":[0.99264103,0.0008228289,0.0042748954,0.000055076547,0.000008073218,0.000030071316,0.000501268,0.000031776184,0.0016349884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996928,0.000037389498,0.000027482083,0.00006227291,0.00007755245,0.00010243908],"domain_scores_gemma":[0.9994904,0.00020515289,0.0000963923,0.000033813074,0.00012222197,0.00005203854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003257543,0.00035865317,0.00048333875,0.00013937587,0.00032955242,0.0009203557,0.00032130082,0.00037896834,0.0006093903],"category_scores_gemma":[0.00067758415,0.00025784803,0.0003772754,0.00028779038,0.00021654573,0.00043777344,0.00027579375,0.00054972304,0.0002144814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030550532,0.000049235427,0.0007773049,0.0001299521,0.000009910348,0.000046596102,0.000051016752,0.00044456776,0.9957449,0.00003527171,0.000050702496,0.0023551167],"study_design_scores_gemma":[0.000012311916,0.0005405469,0.006105202,0.000020222538,0.000028181907,0.000050693387,0.00009771415,0.00256369,0.9898459,0.00001701144,0.00070288306,0.000015749432],"about_ca_topic_score_codex":0.016021734,"about_ca_topic_score_gemma":0.0133467885,"teacher_disagreement_score":0.016021734,"about_ca_system_score_codex":0.0007691027,"about_ca_system_score_gemma":0.00070406636,"threshold_uncertainty_score":0.031856954},"labels":[],"label_agreement":null},{"id":"W7036807549","doi":"","title":"California Once Again Tops the U.S. Clean Tech Leadership Index… But Falls a Penny Short of the Highest Electricity Prices in the Lower 48","year":2017,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TOPS; Electricity; High tech; Clean technology; Quarter (Canadian coin); Work (physics)","score_opus":0.0311567903371268,"score_gpt":0.24655955415281053,"score_spread":0.21540276381568374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036807549","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":[0.004130733,0.0007484197,0.0003609897,0.008692964,0.0013944815,0.00004459743,0.012717482,0.0008688463,0.9710415],"genre_scores_gemma":[0.014894693,0.0010256966,0.00046024064,0.0017587047,0.00035828573,0.000042003994,0.008523927,0.00034889468,0.9725876],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992219,0.000017173657,0.000011880312,0.00004829207,0.00054268306,0.00015801401],"domain_scores_gemma":[0.99912006,0.00006232888,0.00004099316,0.000045199857,0.00053528603,0.00019614327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046730464,0.0004020224,0.00025608798,0.0014312767,0.0024110165,0.0046085967,0.000672078,0.0013645003,0.11786715],"category_scores_gemma":[0.0015605652,0.0002820838,0.00039343434,0.0017426776,0.00053962745,0.0015427705,0.00090450014,0.0027696574,0.03451519],"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":[0.000019306462,0.00003095925,0.0009059936,0.00003161747,0.000002655777,0.000025389778,0.000027705284,0.000050393395,0.00007230233,0.010376857,0.97337806,0.0150787905],"study_design_scores_gemma":[0.0000061691003,0.000008592576,0.0032328493,0.000025701987,0.000003459179,0.000013141684,0.00009496192,0.00008115385,0.00018743951,0.00050364825,0.99583626,0.0000066222665],"about_ca_topic_score_codex":0.2625585,"about_ca_topic_score_gemma":0.49244913,"teacher_disagreement_score":0.2625585,"about_ca_system_score_codex":0.0034349146,"about_ca_system_score_gemma":0.0075772516,"threshold_uncertainty_score":0.52206045},"labels":[],"label_agreement":null},{"id":"W7039303789","doi":"","title":"Major investments in SOFIAC for large-scale energy efficiency retrofit projects in Quebec","year":2021,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Investment (military); Economic efficiency; Renewable energy; Energy consumption; Production (economics)","score_opus":0.012911368751817066,"score_gpt":0.24478897189132764,"score_spread":0.23187760313951059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039303789","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":[0.24837805,0.004015408,0.009069172,0.008722246,0.0006309413,0.00047241081,0.024860987,0.0023339188,0.70151687],"genre_scores_gemma":[0.34591582,0.0014488257,0.003665463,0.0006204147,0.000027566475,0.00006274541,0.006731472,0.0002356347,0.6412921],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999495,0.00003278047,0.0000061966807,0.00003369612,0.00023351541,0.00019869671],"domain_scores_gemma":[0.999424,0.000033366316,0.000023889557,0.00002467513,0.00034794572,0.00014612748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916485,0.000640955,0.00019655918,0.00072534406,0.0021441255,0.0013695739,0.0008897968,0.00078502606,0.049886186],"category_scores_gemma":[0.0007038477,0.00022318643,0.000491991,0.0009280364,0.0004579611,0.00046174557,0.0005599356,0.00068650336,0.0028968058],"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":[0.00068548205,0.0004375711,0.04554006,0.0006507683,0.00016861963,0.00094101724,0.00041805842,0.016828416,0.013307794,0.039700966,0.47299665,0.4083246],"study_design_scores_gemma":[0.00011330937,0.00020811606,0.14243683,0.00031076832,0.00004793814,0.0002438659,0.0015126023,0.021315327,0.006663903,0.0012510195,0.82584393,0.00005244824],"about_ca_topic_score_codex":0.9641093,"about_ca_topic_score_gemma":0.9808375,"teacher_disagreement_score":0.049886186,"about_ca_system_score_codex":0.026808629,"about_ca_system_score_gemma":0.036585137,"threshold_uncertainty_score":0.19451112},"labels":[],"label_agreement":null},{"id":"W7042763995","doi":"","title":"Powin Corporation CFO Ronald Horne Interviewed on Companys First Quarter Achievements, New \"Green\" Energy Manufacturing and M...","year":2011,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Quarter (Canadian coin); Energy (signal processing); Manufacturing","score_opus":0.01913771065769079,"score_gpt":0.20626519241438043,"score_spread":0.18712748175668964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042763995","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":[0.034142803,0.0067064306,0.0006525906,0.20848817,0.0036792425,0.00014065373,0.00210853,0.00033150782,0.7437501],"genre_scores_gemma":[0.03501872,0.0016412449,0.00014343117,0.021819223,0.00020081688,0.00003352692,0.0002904095,0.00008411339,0.94076854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936134,0.000072677685,0.000012495261,0.000047392234,0.00020117423,0.00030492616],"domain_scores_gemma":[0.9988832,0.00028353187,0.000050026927,0.000028027662,0.00046696866,0.00028818037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075420365,0.0004969851,0.00015178404,0.0010508072,0.010040702,0.003599903,0.00037695776,0.0039238767,0.07122216],"category_scores_gemma":[0.0020757883,0.00033902872,0.00015330286,0.00087494316,0.00071985874,0.0019791864,0.0008998305,0.0030463806,0.00775793],"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":[0.000034734592,0.000032189997,0.0018678255,0.000040259147,0.0000017834748,0.0003623698,0.0016000655,0.000042535434,0.0003626049,0.0072802245,0.9681239,0.020251589],"study_design_scores_gemma":[0.000003362974,0.000013360139,0.0029399907,0.000040303323,0.000001576549,0.000101306316,0.0036087448,0.000041270265,0.0003499886,0.00023815582,0.9926488,0.000013123828],"about_ca_topic_score_codex":0.13541068,"about_ca_topic_score_gemma":0.38159448,"teacher_disagreement_score":0.13541068,"about_ca_system_score_codex":0.0042000418,"about_ca_system_score_gemma":0.0033581725,"threshold_uncertainty_score":0.26924497},"labels":[],"label_agreement":null},{"id":"W7042837680","doi":"","title":"Roadmap for harmonization of energy efficiency standards in south asia \\n- report on the second sari/energy harmonization meeting","year":2003,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Central Power Research Institute; Canada Excellence Research Chairs, Government of Canada","keywords":"Harmonization; Efficient energy use; South asia; Standardization; Production (economics); China","score_opus":0.012782562803758994,"score_gpt":0.21303629678468797,"score_spread":0.20025373398092897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042837680","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":[0.054283068,0.022490717,0.33581212,0.1554799,0.009562641,0.01209829,0.012475804,0.005151118,0.39264634],"genre_scores_gemma":[0.22380736,0.013114589,0.574248,0.013485597,0.000830087,0.008172216,0.030770443,0.0010404605,0.1345313],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9927331,0.0025005809,0.00073387736,0.00037740832,0.0027493136,0.0009057035],"domain_scores_gemma":[0.9862812,0.0016494872,0.00089706597,0.0011615586,0.008406331,0.0016042903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023536138,0.0011615615,0.00064723974,0.0025639713,0.001438579,0.004005685,0.0026740716,0.0041123442,0.0115583455],"category_scores_gemma":[0.010911617,0.00054934644,0.0010500381,0.0021854371,0.00073065306,0.0038415964,0.0037008037,0.0040971753,0.0033979816],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004413265,0.0012390944,0.009792999,0.0026290242,0.00012682972,0.0008355229,0.0026291157,0.025048524,0.012811842,0.14127329,0.3283342,0.47483835],"study_design_scores_gemma":[0.00008554611,0.00047345643,0.018089417,0.0014001739,0.0000581386,0.00027977704,0.0029335753,0.006567361,0.00585949,0.022438083,0.9417347,0.00008023556],"about_ca_topic_score_codex":0.021187842,"about_ca_topic_score_gemma":0.0121671725,"teacher_disagreement_score":0.023536138,"about_ca_system_score_codex":0.0036350486,"about_ca_system_score_gemma":0.03843133,"threshold_uncertainty_score":0.12447244},"labels":[],"label_agreement":null},{"id":"W7043408004","doi":"","title":"Technical Progress Report Third Quarter 2011 ARRA: Energy Code Compliance and Effectiveness Measurement","year":2011,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Energy Efficiency and Management","field":"Energy","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":"Audit; Work (physics); Quarter (Canadian coin); Code (set theory); Energy (signal processing); Compliance (psychology); Code of practice","score_opus":0.12276359296627075,"score_gpt":0.38058798888219364,"score_spread":0.2578243959159229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043408004","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":[0.27332067,0.0015066735,0.11468735,0.01602434,0.00372304,0.033510674,0.11501212,0.008921127,0.4332941],"genre_scores_gemma":[0.36163098,0.0014472563,0.2220559,0.0018053409,0.0007496519,0.03538632,0.13026513,0.0029949865,0.24366443],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.93702525,0.021238627,0.0044685067,0.001881683,0.032883316,0.002502605],"domain_scores_gemma":[0.7957521,0.020668935,0.00893286,0.012623212,0.15729716,0.004725694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.060438007,0.0008681142,0.00094090664,0.00426632,0.002653726,0.004379194,0.002056064,0.0012292056,0.019122368],"category_scores_gemma":[0.06862057,0.0009383793,0.00080293394,0.0027826854,0.0007108431,0.0020366313,0.0028046307,0.0019277345,0.01813726],"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":[0.0011108727,0.0055236197,0.090419255,0.0008869255,0.00011216055,0.00016415206,0.0037191445,0.0021681953,0.00894034,0.005559642,0.4552281,0.42616758],"study_design_scores_gemma":[0.0002397946,0.00556589,0.4081848,0.0005190828,0.000107757536,0.0003556901,0.0068121487,0.0075941253,0.023443352,0.0015592301,0.54540586,0.00021233941],"about_ca_topic_score_codex":0.02360086,"about_ca_topic_score_gemma":0.017571228,"teacher_disagreement_score":0.060438007,"about_ca_system_score_codex":0.0045112506,"about_ca_system_score_gemma":0.021507103,"threshold_uncertainty_score":0.31963056},"labels":[],"label_agreement":null},{"id":"W70595027","doi":"10.15173/esr.v14i2.496","title":"The Effect of Energy Audits in Danish Industry - Evaluation of a DSM Programme","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy Efficiency and Management","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity; Audit; Danish; Consumption (sociology); Energy consumption; Energy (signal processing); Environmental economics; Econometrics; Business; Economics; Accounting; Statistics; Engineering","score_opus":0.03520954578727149,"score_gpt":0.3228848344920718,"score_spread":0.2876752887048003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70595027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921186,0.0009515489,0.00024433137,0.00051359634,0.00002862625,0.00008380105,0.0002260726,0.000014841008,0.0058186464],"genre_scores_gemma":[0.9986896,0.0002509527,0.00019196216,0.000051429015,0.000008740909,0.0000124264425,0.0001163782,0.0000016467314,0.0006769655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.970289,0.019314528,0.0016791912,0.000847875,0.0062506706,0.0016187975],"domain_scores_gemma":[0.9242222,0.046438813,0.015744276,0.002900466,0.008663867,0.0020303992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017884718,0.00025483896,0.00052789965,0.0015628805,0.0006382609,0.0019139926,0.00059700356,0.00071152457,0.0013113143],"category_scores_gemma":[0.04801696,0.00021147686,0.000470701,0.0019124182,0.0007987832,0.0007144517,0.0016653825,0.0005093701,0.0001572144],"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":[0.009511937,0.0027756058,0.7268705,0.0024946409,0.00065810425,0.0008141567,0.0029062687,0.029789172,0.0042173513,0.006892464,0.0037180018,0.20935188],"study_design_scores_gemma":[0.0004318997,0.0052267923,0.9598034,0.0003961513,0.0005886363,0.00021858179,0.005997621,0.008311614,0.005438517,0.0011015008,0.012423004,0.00006223536],"about_ca_topic_score_codex":0.026530914,"about_ca_topic_score_gemma":0.024897141,"teacher_disagreement_score":0.026530914,"about_ca_system_score_codex":0.0045958264,"about_ca_system_score_gemma":0.00613489,"threshold_uncertainty_score":0.094584525},"labels":[],"label_agreement":null},{"id":"W7066947355","doi":"","title":"Koil Energy Solutions, Inc. Announces First Quarter 2023 Results","year":2023,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Energy consumption; Work (physics); Field (mathematics)","score_opus":0.016204196066731985,"score_gpt":0.22156543010704655,"score_spread":0.20536123404031456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066947355","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":[0.0013863972,0.00041832123,0.0020935659,0.01177362,0.005442945,0.000147487,0.010494023,0.0025853307,0.9656583],"genre_scores_gemma":[0.007244088,0.00043491294,0.0009693697,0.0038826335,0.0003404025,0.00007779866,0.008163267,0.00096247764,0.97792506],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843794,0.000093533534,0.000029379473,0.00007466644,0.001126607,0.00023790667],"domain_scores_gemma":[0.9979956,0.00021102351,0.000044892276,0.00011013929,0.0013156923,0.00032266788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00187583,0.0009510852,0.00037372066,0.0012211971,0.0020259002,0.006036846,0.001078207,0.0036347588,0.29430225],"category_scores_gemma":[0.003398986,0.00035219494,0.00077285594,0.0010335029,0.00050915335,0.0024616497,0.0011917708,0.0031973927,0.17514607],"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":[0.00004139364,0.000046144665,0.000106289684,0.000024793388,0.0000017459664,0.000027327818,0.000008299519,0.000078296296,0.00017774352,0.003167301,0.98646563,0.009854951],"study_design_scores_gemma":[0.00001579427,0.000023956409,0.00048311497,0.000020620208,0.0000036903418,0.000021588885,0.0000551515,0.00037711844,0.00038687346,0.0010855832,0.9975178,0.00000873605],"about_ca_topic_score_codex":0.028820768,"about_ca_topic_score_gemma":0.07179416,"teacher_disagreement_score":0.29430225,"about_ca_system_score_codex":0.001952049,"about_ca_system_score_gemma":0.0037243953,"threshold_uncertainty_score":0.98453915},"labels":[],"label_agreement":null},{"id":"W7071037895","doi":"","title":"RGS Energy Reports Third Quarter 2015 Results - Industrial Goods (INDUSGDS) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Energy (signal processing); Energy consumption; Work (physics)","score_opus":0.03177948624204178,"score_gpt":0.25830535045778835,"score_spread":0.22652586421574658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071037895","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":[0.00075757137,0.0011954191,0.00033228562,0.008305541,0.008209678,0.00010523857,0.012691339,0.0013503445,0.96705264],"genre_scores_gemma":[0.0020056076,0.00062011014,0.00016332298,0.0018040917,0.000598944,0.00003298376,0.0050673066,0.00040631686,0.98930126],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866927,0.000059947946,0.000035755103,0.000091416594,0.0009473148,0.00019638133],"domain_scores_gemma":[0.9987556,0.00015728714,0.00005845038,0.00014832558,0.0006287898,0.00025153812],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010469346,0.000943555,0.0005887459,0.0023011707,0.001513166,0.0073642186,0.0010244601,0.0036127728,0.44920093],"category_scores_gemma":[0.0031606862,0.00042266963,0.0010069396,0.0019452568,0.0005495287,0.002129896,0.0016622775,0.0030738672,0.32940495],"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":[0.000029168807,0.000020007279,0.00006449203,0.0000353374,0.0000020987263,0.000017898048,0.000005213087,0.000030317253,0.000070551265,0.001861543,0.9873038,0.010559584],"study_design_scores_gemma":[0.00000915403,0.000011195693,0.00077205506,0.000051188912,0.000002576434,0.00001277735,0.000021953387,0.00005407952,0.00021337016,0.0007267392,0.9981194,0.0000053906224],"about_ca_topic_score_codex":0.019966207,"about_ca_topic_score_gemma":0.03693802,"teacher_disagreement_score":0.44920093,"about_ca_system_score_codex":0.0025427458,"about_ca_system_score_gemma":0.0038043063,"threshold_uncertainty_score":0.785648},"labels":[],"label_agreement":null},{"id":"W7072079945","doi":"","title":"Westbridge Renewable Announces Closing of 278 MWp Alberta Georgetown Project Sale to MYTILINEOS","year":2023,"lang":"en","type":"other","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Renewable energy; Boom; Work (physics); Government (linguistics)","score_opus":0.018622270415156364,"score_gpt":0.2676688318742581,"score_spread":0.24904656145910176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072079945","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":[0.0038158821,0.00029920382,0.00057423115,0.0065720906,0.002902869,0.00014124683,0.003930435,0.0009371692,0.98082674],"genre_scores_gemma":[0.0023979594,0.0000542211,0.00009108522,0.0005410426,0.000064125394,0.000011097815,0.00051972066,0.00009418868,0.99622655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995603,0.000011332155,0.0000032692585,0.000033879543,0.0002796121,0.00011158887],"domain_scores_gemma":[0.99938345,0.00004430171,0.000009821375,0.000026822698,0.00031040082,0.00022530084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061289244,0.0005689855,0.00027162657,0.00068767974,0.0027904504,0.0033167358,0.0008022047,0.0030249215,0.27846238],"category_scores_gemma":[0.001131253,0.00031337168,0.00042837442,0.00044950694,0.0005270379,0.0006575919,0.0008812471,0.0032581154,0.07084973],"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":[0.000048510912,0.0000306805,0.00027201374,0.000015168597,0.000001653736,0.00010025261,0.000035300483,0.00008021135,0.00029591593,0.0036562718,0.98429155,0.011172566],"study_design_scores_gemma":[0.000012081519,0.0000150382175,0.00154271,0.00001423745,0.0000017452866,0.000017408624,0.00012932692,0.00013076779,0.00017385189,0.0004248386,0.997532,0.0000059931585],"about_ca_topic_score_codex":0.34145904,"about_ca_topic_score_gemma":0.74138117,"teacher_disagreement_score":0.34145904,"about_ca_system_score_codex":0.004093795,"about_ca_system_score_gemma":0.00810699,"threshold_uncertainty_score":0.9315495},"labels":[],"label_agreement":null},{"id":"W7072124822","doi":"","title":"Updating the National Energy Code for buildings","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Field (mathematics); Energy (signal processing); Building code; Key (lock)","score_opus":0.01504667282704635,"score_gpt":0.2574812791771318,"score_spread":0.24243460635008546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072124822","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":[0.038958684,0.017135303,0.049037855,0.1578187,0.09339487,0.0015188697,0.031869873,0.003915743,0.60635006],"genre_scores_gemma":[0.16228405,0.012239257,0.11788993,0.047713142,0.0042479713,0.0013539678,0.035341658,0.003142838,0.61578727],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9845392,0.0019701994,0.0018404593,0.0005437068,0.009732985,0.0013734796],"domain_scores_gemma":[0.9215972,0.004309066,0.0021027825,0.0040947115,0.065889835,0.0020063764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008305784,0.0008625227,0.0006383272,0.0038360949,0.0032290202,0.0053156554,0.0022739042,0.005101176,0.009142538],"category_scores_gemma":[0.036560565,0.000551463,0.00083697116,0.004824247,0.0016086433,0.0038754574,0.0020293563,0.00609703,0.0055093393],"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":[0.000059103008,0.000094381874,0.0040631793,0.00031052198,0.000018570207,0.00014878546,0.0007843165,0.0013170472,0.0015775699,0.059969448,0.83615494,0.095502146],"study_design_scores_gemma":[0.0000038004273,0.000008489387,0.0041151913,0.00017369102,0.0000059352633,0.000034168897,0.00020223417,0.00016590982,0.00027623714,0.0011554081,0.99383473,0.000024232771],"about_ca_topic_score_codex":0.37469766,"about_ca_topic_score_gemma":0.42730844,"teacher_disagreement_score":0.37469766,"about_ca_system_score_codex":0.01491905,"about_ca_system_score_gemma":0.045679163,"threshold_uncertainty_score":0.7450334},"labels":[],"label_agreement":null},{"id":"W7083886356","doi":"","title":"Obama's book sells 1.4 million copies in a week - NO CAPTION","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Energy Efficiency and Management","field":"Energy","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":"Memoir; Publishing; Government (linguistics); Project commissioning","score_opus":0.010178907811543693,"score_gpt":0.22298752130861857,"score_spread":0.2128086134970749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083886356","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":[0.00045667004,0.0018858968,0.0003380904,0.0010848597,0.002514842,0.00003705847,0.0021564635,0.0012924906,0.99023366],"genre_scores_gemma":[0.00169328,0.0013325019,0.00027658502,0.0003475614,0.00028800667,0.000020241461,0.001385765,0.00045944483,0.99419665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968374,0.000019496683,0.000014276137,0.00003202398,0.00022388165,0.000026478217],"domain_scores_gemma":[0.9995702,0.000062974425,0.000026186135,0.000058912967,0.0001982997,0.0000834208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022799503,0.000695301,0.00037349944,0.001490681,0.0014609289,0.0053558815,0.00043667434,0.0008995428,0.48205614],"category_scores_gemma":[0.0012341412,0.00033458756,0.00030529886,0.0021434848,0.00053340016,0.0024186934,0.0008828587,0.0013201192,0.35807425],"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":[0.000010512839,0.000016749222,0.00006406883,0.00006361191,0.0000010297313,0.000020984666,0.00002497634,0.000028392386,0.00015295851,0.0020846673,0.95870024,0.0388317],"study_design_scores_gemma":[9.446233e-7,0.0000027696797,0.00013906293,0.000020334079,4.1357993e-7,0.000014383463,0.000023318427,0.000010398445,0.000052634805,0.00020439056,0.99952984,0.0000014964231],"about_ca_topic_score_codex":0.005669559,"about_ca_topic_score_gemma":0.018083131,"teacher_disagreement_score":0.48205614,"about_ca_system_score_codex":0.0009604109,"about_ca_system_score_gemma":0.0011212816,"threshold_uncertainty_score":0.7387841},"labels":[],"label_agreement":null},{"id":"W7095565982","doi":"","title":"Benchmarking Twin Houses and Assessment of the Energy Performance of Two Gas Combo Heating Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Benchmark (surveying); Benchmarking; Energy performance; Heat exchanger; Performance improvement; Energy (signal processing); Heating system; Fan coil unit","score_opus":0.013795462086536994,"score_gpt":0.2622896831736293,"score_spread":0.2484942210870923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095565982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330336,0.000046076115,0.0049565393,0.000016023532,0.000021380069,0.00008286934,0.00021981937,0.00010326542,0.0012507087],"genre_scores_gemma":[0.9946292,0.00002902214,0.0040884907,0.0000072473954,0.0000035138414,0.00003237663,0.00035878769,0.000029854325,0.0008214757],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989033,0.0001438832,0.000042388772,0.00021826102,0.0005794593,0.000112684334],"domain_scores_gemma":[0.9988906,0.00017052607,0.000078891324,0.00020164596,0.0005536532,0.000104595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013218732,0.000487968,0.0006454133,0.00067781727,0.0005342835,0.0007912665,0.00079734554,0.00044722675,0.0012402016],"category_scores_gemma":[0.002006839,0.00028408805,0.000356102,0.000825748,0.00034723387,0.0010062419,0.00054812204,0.00035105852,0.00027659241],"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":[0.006982639,0.0017715864,0.137377,0.00051968766,0.00024365241,0.00063381204,0.00084064284,0.10535317,0.55886406,0.0014293967,0.002668876,0.1833155],"study_design_scores_gemma":[0.000303189,0.012392316,0.2455484,0.000026143392,0.00015490962,0.0004917427,0.00092152477,0.15097664,0.5814106,0.00037473996,0.0072598453,0.00013995773],"about_ca_topic_score_codex":0.0066566076,"about_ca_topic_score_gemma":0.011459005,"teacher_disagreement_score":0.0066566076,"about_ca_system_score_codex":0.0012470161,"about_ca_system_score_gemma":0.00043745863,"threshold_uncertainty_score":0.013235748},"labels":[],"label_agreement":null},{"id":"W7097345455","doi":"","title":"1 An Energy Audit at Credit Valley Conservation","year":2015,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Audit; Energy conservation; Blueprint; Incentive; Order (exchange); Energy consumption; Consumption (sociology); Audit plan","score_opus":0.02960355898288292,"score_gpt":0.24608972085793743,"score_spread":0.2164861618750545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097345455","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":[0.12689577,0.003803977,0.0062425183,0.09870347,0.007775306,0.0034367542,0.016838852,0.0034597083,0.7328437],"genre_scores_gemma":[0.21052368,0.0018714602,0.0077937325,0.011066939,0.0007551691,0.00042179838,0.006304522,0.00055482966,0.7607078],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776757,0.00030832388,0.00009277297,0.00023720092,0.0013236428,0.0002705687],"domain_scores_gemma":[0.99461305,0.0005782836,0.00028778458,0.0004122013,0.0028971618,0.0012115963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015773749,0.00033386392,0.0001529065,0.0015559411,0.0058366754,0.0020360888,0.00071651844,0.0016369692,0.06841112],"category_scores_gemma":[0.004283544,0.00042089247,0.00017582235,0.0013763503,0.00060912,0.0011327788,0.0015198541,0.002286031,0.007837484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008033928,0.00013746324,0.01569558,0.00012383243,0.0000049224286,0.0007344194,0.000648795,0.00027259055,0.0011370251,0.002204275,0.89780146,0.08115932],"study_design_scores_gemma":[0.000009968755,0.000068102185,0.0332915,0.00015681866,0.000003274162,0.0003166715,0.000675052,0.00029719473,0.0006569924,0.00046624782,0.9640334,0.00002488364],"about_ca_topic_score_codex":0.109624594,"about_ca_topic_score_gemma":0.20069979,"teacher_disagreement_score":0.8903754,"about_ca_system_score_codex":0.004733421,"about_ca_system_score_gemma":0.013069117,"threshold_uncertainty_score":0.228858},"labels":[],"label_agreement":null},{"id":"W7097895860","doi":"","title":"Bertoldi: “Major Households Appliances in New Member States and Candidate Countries: looking for energy savings","year":2006,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Electricity; Consumption (sociology); Quarter (Canadian coin); Member states; Limiting; Mains electricity; Energy consumption; Unit (ring theory)","score_opus":0.0072279543315886905,"score_gpt":0.22057628391195686,"score_spread":0.21334832958036817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097895860","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":[0.05905982,0.07785701,0.009138849,0.2074611,0.0116714,0.00024638642,0.008252298,0.00061943254,0.62569374],"genre_scores_gemma":[0.5301286,0.03879469,0.01425518,0.017485255,0.002564166,0.0001855298,0.006678503,0.00023399547,0.38967398],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99960417,0.000097875,0.000013627044,0.000053683325,0.00016179406,0.00006888416],"domain_scores_gemma":[0.9996977,0.00009808983,0.000049072965,0.000012267246,0.00011210889,0.000030756677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006876483,0.0005668541,0.00015407178,0.0010466021,0.001676058,0.0017841198,0.0005927014,0.0014523226,0.008719554],"category_scores_gemma":[0.0011397669,0.00012124994,0.0001619451,0.0018346083,0.00044226614,0.0014586672,0.0006498165,0.0011606606,0.0018103403],"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":[0.00027544133,0.000060025657,0.009254002,0.00046923547,0.000020613308,0.00059372303,0.002470768,0.0006128959,0.0010721646,0.07824501,0.78577936,0.12114678],"study_design_scores_gemma":[0.000012692248,0.000042762134,0.016487546,0.00026820935,0.000020258667,0.0003220192,0.0014627104,0.0006685695,0.0022054801,0.006147796,0.9723281,0.00003377789],"about_ca_topic_score_codex":0.043237932,"about_ca_topic_score_gemma":0.08213811,"teacher_disagreement_score":0.043237932,"about_ca_system_score_codex":0.0022981567,"about_ca_system_score_gemma":0.0017921943,"threshold_uncertainty_score":0.08597249},"labels":[],"label_agreement":null},{"id":"W7099115816","doi":"","title":"CLAIM GROUPS SUMMARY","year":2015,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Field (mathematics); Test (biology); Questions and answers; Interpretation (philosophy)","score_opus":0.027355125745135014,"score_gpt":0.23739662319205057,"score_spread":0.21004149744691555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099115816","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":[0.0007028907,0.00066961395,0.00035303578,0.015048874,0.0071845255,0.00037717886,0.0063899793,0.00092745834,0.9683464],"genre_scores_gemma":[0.0018219432,0.0003308065,0.00010940127,0.00373903,0.0005434529,0.00008226607,0.0018675167,0.00018974638,0.99131584],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969668,0.000081880076,0.000093021314,0.0003732816,0.0018927809,0.00059221033],"domain_scores_gemma":[0.99011564,0.00056228833,0.00015127119,0.0008276847,0.007182548,0.0011605733],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002059444,0.00092612795,0.0009115404,0.0023048709,0.0086602885,0.008679813,0.002722268,0.008422693,0.6248126],"category_scores_gemma":[0.010623368,0.0005972531,0.00080992765,0.0018694112,0.0010150679,0.0021234774,0.0024818906,0.0039804606,0.5334858],"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":[0.000013825564,0.00000896936,0.00011825954,0.000024291963,9.585473e-7,0.00004420966,0.000030505467,0.000012275281,0.0000983712,0.0019015393,0.9890497,0.00869709],"study_design_scores_gemma":[0.0000039937836,0.000004342026,0.00034641445,0.000038984283,0.000001228078,0.00002102068,0.00007171285,0.000020157653,0.0000509738,0.00023806571,0.99919873,0.0000043801097],"about_ca_topic_score_codex":0.19098178,"about_ca_topic_score_gemma":0.21996975,"teacher_disagreement_score":0.3751874,"about_ca_system_score_codex":0.0055990345,"about_ca_system_score_gemma":0.017780198,"threshold_uncertainty_score":0.53515923},"labels":[],"label_agreement":null},{"id":"W7099582333","doi":"","title":"RESEARCH ARTICLE Open Access","year":2013,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Ethnic group; Research article; Open research; Review article","score_opus":0.17686620823868668,"score_gpt":0.4567845244476751,"score_spread":0.27991831620898844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099582333","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":[0.2832435,0.0072024963,0.00096211396,0.0093964245,0.0028238646,0.00026455044,0.012428004,0.0005097809,0.6831692],"genre_scores_gemma":[0.36051735,0.0046157646,0.00094842253,0.0009544401,0.0005677934,0.00004318566,0.007708628,0.00021048707,0.6244338],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882823,0.00008488722,0.00004323138,0.00012528518,0.00048730944,0.00043097982],"domain_scores_gemma":[0.99518675,0.00039771353,0.0003068151,0.0003614576,0.002460169,0.001287212],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010046398,0.00030566816,0.0004311167,0.0015604723,0.002848353,0.0033025793,0.0012338002,0.0009455717,0.24461767],"category_scores_gemma":[0.0050926884,0.0001822896,0.0005906662,0.0019482939,0.0011321246,0.0007738187,0.0013627075,0.0006754191,0.0483123],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064426434,0.000546779,0.33223793,0.00033303563,0.00009289504,0.0030780016,0.00195946,0.0002991819,0.0025527654,0.004744751,0.22595085,0.42756003],"study_design_scores_gemma":[0.00009484121,0.00025692402,0.50005233,0.00032879514,0.00008002938,0.0032357126,0.0047399113,0.00030982838,0.0008529827,0.0013054032,0.48869097,0.000052306164],"about_ca_topic_score_codex":0.48070863,"about_ca_topic_score_gemma":0.56002486,"teacher_disagreement_score":0.7553823,"about_ca_system_score_codex":0.003438586,"about_ca_system_score_gemma":0.010510954,"threshold_uncertainty_score":0.95582116},"labels":[],"label_agreement":null},{"id":"W7099750788","doi":"","title":"ENERGUIDE FOR HOUSES DATABASE – AN INNOVATIVE APPROACH TO TRACK RESIDENTIAL ENERGY EVALUATIONS AND MEASURE BENEFITS","year":2015,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","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":"Efficient energy use; Measure (data warehouse); Energy (signal processing); Energy management; Software; Service (business); Data management; Energy conservation; Energy planning","score_opus":0.11560739356014403,"score_gpt":0.3266943910921259,"score_spread":0.21108699753198185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099750788","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":[0.016870499,0.0005818017,0.2190055,0.0007638233,0.00027102017,0.002379307,0.5357216,0.120702505,0.10370396],"genre_scores_gemma":[0.064675555,0.000617162,0.34300277,0.0003112435,0.00012124637,0.0015659614,0.54122704,0.008892784,0.039586287],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99709976,0.00030685982,0.0005067805,0.0005560786,0.0013524075,0.00017806033],"domain_scores_gemma":[0.9888182,0.0016239489,0.00078686915,0.0032023422,0.0050762347,0.00049241574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003088724,0.00096002355,0.0009912683,0.008628557,0.0013961663,0.0056416253,0.002833486,0.000633567,0.028328469],"category_scores_gemma":[0.008920864,0.0010245929,0.00069598254,0.01021332,0.00030098803,0.0041115438,0.002314452,0.0012015696,0.01237694],"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":[0.00051384704,0.00041874754,0.021496098,0.0006506092,0.00019614317,0.0002305498,0.00087135384,0.00445186,0.0033013981,0.021244632,0.6573672,0.28925756],"study_design_scores_gemma":[0.00016483893,0.00007177228,0.022079192,0.00015015226,0.00008246809,0.00023706604,0.00052914646,0.022690378,0.010851108,0.006597253,0.9363863,0.00016046551],"about_ca_topic_score_codex":0.12015053,"about_ca_topic_score_gemma":0.16623962,"teacher_disagreement_score":0.12015053,"about_ca_system_score_codex":0.0032632977,"about_ca_system_score_gemma":0.0057135304,"threshold_uncertainty_score":0.23890239},"labels":[],"label_agreement":null},{"id":"W7113201305","doi":"","title":"Energy Efficiency and Norm Compliance Drivers Amongst Industry Decision-makers: Evidence of Intersectionality and the Role of Morality","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Energy Efficiency and Management","field":"Energy","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":"Norm (philosophy); Compliance (psychology); Sustainability; Efficient energy use; Morality; Perspective (graphical)","score_opus":0.030107998061442487,"score_gpt":0.2841922755893522,"score_spread":0.2540842775279097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113201305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98813117,0.00020254354,0.0018977525,0.0018324105,0.000020608299,0.000038165803,0.00005285564,0.000008983929,0.007815593],"genre_scores_gemma":[0.99925834,0.0000653056,0.00035207983,0.00013411857,0.000005285102,0.000022069004,0.000029454328,0.00000412272,0.00012927232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9752421,0.0144102415,0.0015329157,0.0017367296,0.0054930076,0.0015851394],"domain_scores_gemma":[0.87106556,0.081209436,0.02681331,0.0061147227,0.0101525765,0.0046443776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026675625,0.0002445285,0.00038984237,0.0020254673,0.0028933452,0.0060823774,0.0012116936,0.0014331623,0.0031409496],"category_scores_gemma":[0.07481251,0.00045423323,0.0005390468,0.0021179707,0.0070265485,0.0036883908,0.005217217,0.0025087937,0.00020899027],"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":[0.00014089637,0.00033899938,0.8053985,0.00029657377,0.00015405499,0.00019800453,0.14690535,0.00034391496,0.0004704808,0.011074857,0.0012812524,0.03339712],"study_design_scores_gemma":[0.00001774403,0.00012422517,0.75079495,0.00045322007,0.00004852833,0.00011565518,0.22695395,0.0020430998,0.0005228375,0.010541276,0.008277222,0.00010730011],"about_ca_topic_score_codex":0.027023448,"about_ca_topic_score_gemma":0.02977018,"teacher_disagreement_score":0.027023448,"about_ca_system_score_codex":0.003814523,"about_ca_system_score_gemma":0.0063261637,"threshold_uncertainty_score":0.14107591},"labels":[],"label_agreement":null},{"id":"W7117778405","doi":"10.1108/sampj-02-2024-0086","title":"Energy efficiency and norm compliance drivers amongst industry decision-makers: evidence of intersectionality and the role of morality","year":2025,"lang":"en","type":"article","venue":"Sustainability Accounting Management and Policy Journal","topic":"Energy Efficiency and Management","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":"General Electric (Canada)","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Norm (philosophy); Compliance (psychology); Sustainability; Morality; Norm of reciprocity; Sustainable development; Efficient energy use","score_opus":0.009219391072635875,"score_gpt":0.2879908886284493,"score_spread":0.27877149755581343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117778405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993972,0.0001443974,0.0012431884,0.00069742335,0.000012156924,0.000024201567,0.000023205956,0.000005777686,0.003877548],"genre_scores_gemma":[0.9995098,0.000044452987,0.00024520597,0.0000639261,0.0000036892684,0.000011568784,0.000014498292,0.0000024358264,0.00010441458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9762683,0.013774765,0.0013130667,0.001357522,0.005611294,0.0016749449],"domain_scores_gemma":[0.90562236,0.05368872,0.022043874,0.0043934905,0.009830534,0.0044211065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023811996,0.00023797492,0.0004042369,0.0020075992,0.0024361683,0.0049225036,0.00097087515,0.001055298,0.0026078692],"category_scores_gemma":[0.055204283,0.0004023659,0.00045972288,0.0015650026,0.0059927837,0.0026749314,0.004348156,0.0020294867,0.00016247452],"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":[0.0001369101,0.00025975768,0.876412,0.00023868642,0.0001259472,0.00017514659,0.082950674,0.00029314196,0.0005149686,0.005414799,0.00053125643,0.03294673],"study_design_scores_gemma":[0.000014525035,0.0001465282,0.79792994,0.00030248906,0.00003639474,0.00012094694,0.18656895,0.0018380857,0.0004700498,0.006507823,0.0059801037,0.000084120154],"about_ca_topic_score_codex":0.017802872,"about_ca_topic_score_gemma":0.02058884,"teacher_disagreement_score":0.023811996,"about_ca_system_score_codex":0.00304939,"about_ca_system_score_gemma":0.004636555,"threshold_uncertainty_score":0.12593138},"labels":[],"label_agreement":null},{"id":"W7128493867","doi":"10.64903/1480-6800-26.3-4.358","title":"Energy Management Supported by Various Actors in Residential Rehabilitation Projects: Example of Building Rehabilitation on Tripoli Street, Municipality of Hussein-Dey, Algiers, Algeria","year":2023,"lang":"","type":"article","venue":"Arab world geographer","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Energy management; Politics; Energy policy; Energy (signal processing); Rehabilitation; Efficient energy use; Field (mathematics)","score_opus":0.013134720899039873,"score_gpt":0.26286821592643933,"score_spread":0.24973349502739944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128493867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640825,0.00023626289,0.0022329397,0.0016343807,0.000023008215,0.000067823705,0.000040746785,0.000025468671,0.031656913],"genre_scores_gemma":[0.9873827,0.00024290058,0.0014206204,0.000074623145,0.0000077371715,0.000028142653,0.000022043105,0.000012745348,0.010808398],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99868053,0.0008534853,0.000020532112,0.00006537051,0.00010380424,0.00027627381],"domain_scores_gemma":[0.9996451,0.00012233839,0.000050191196,0.000018585168,0.00006012883,0.00010361545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010418876,0.00032659923,0.00015330607,0.00071324693,0.0077573573,0.001846807,0.00064604107,0.001129522,0.0045860945],"category_scores_gemma":[0.0005880752,0.00014713431,0.00023910141,0.0010830243,0.0023669659,0.001008541,0.0023369172,0.00078648014,0.00035739064],"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":[0.00051176955,0.0012395807,0.06162578,0.00080026017,0.000072507624,0.04661756,0.6739481,0.006047716,0.01549063,0.07638592,0.01192955,0.105330564],"study_design_scores_gemma":[0.000017201422,0.00017890106,0.03778001,0.00019815387,0.000032009248,0.0014384395,0.8531097,0.0027180046,0.0028906006,0.0025358095,0.099067144,0.00003398517],"about_ca_topic_score_codex":0.018305406,"about_ca_topic_score_gemma":0.058770213,"teacher_disagreement_score":0.018305406,"about_ca_system_score_codex":0.0030008645,"about_ca_system_score_gemma":0.0020985424,"threshold_uncertainty_score":0.036397755},"labels":[],"label_agreement":null},{"id":"W7133119655","doi":"10.13140/rg.2.2.13438.86085","title":"REDUCING PROVINCIAL GHG EMISSIONS THROUGH REDUCTIONS IN ENERGY USE AND DEMAND: THE CASE OF THE RESTAURANT INDUSTRY IN TORONTO","year":2014,"lang":"en","type":"article","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Energy consumption; Production (economics); Energy (signal processing); Efficient energy use; Consumption (sociology); Energy intensity","score_opus":0.016699202708008638,"score_gpt":0.2569546804250882,"score_spread":0.24025547771707953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133119655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95600516,0.00057331804,0.00068765465,0.0059706736,0.000034144472,0.00010491213,0.00024479817,0.000038712387,0.036340576],"genre_scores_gemma":[0.99008405,0.0002842407,0.00049946085,0.00021468183,0.000007847934,0.000014089607,0.000078950376,0.0000077963805,0.008808856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985953,0.0002744682,0.000024311492,0.000053778695,0.0002031618,0.0008489908],"domain_scores_gemma":[0.9990158,0.00015449905,0.00007133564,0.000033876142,0.00029009712,0.00043436582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057008065,0.0002806813,0.00023791073,0.00039363356,0.006368876,0.0027837472,0.0011916789,0.0012816802,0.0039230324],"category_scores_gemma":[0.001578362,0.00029672106,0.0006572314,0.0011356901,0.0017046438,0.0005064136,0.0014992801,0.0014869878,0.00019095058],"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":[0.0025936035,0.0015682348,0.46258083,0.0016709971,0.0010606189,0.038973708,0.04563582,0.11885622,0.033823963,0.11999832,0.06374565,0.109492004],"study_design_scores_gemma":[0.0005401327,0.00077355426,0.68003327,0.00026041624,0.0005868083,0.00090697553,0.17601821,0.046175886,0.005409403,0.0059693013,0.08310582,0.00022028913],"about_ca_topic_score_codex":0.9854998,"about_ca_topic_score_gemma":0.9961279,"teacher_disagreement_score":0.055477075,"about_ca_system_score_codex":0.055477075,"about_ca_system_score_gemma":0.05064671,"threshold_uncertainty_score":0.40251625},"labels":[],"label_agreement":null},{"id":"W7139371972","doi":"","title":"Technical Progress Report First Quarter 2012ARRA: Energy Code Compliance and Effectiveness Measurement","year":2012,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Code (set theory); Enforcement; Energy (signal processing); Compliance (psychology); Code of practice","score_opus":0.08868160744062982,"score_gpt":0.3924450460444379,"score_spread":0.3037634386038081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139371972","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":[0.23635732,0.0008589892,0.09886425,0.009147096,0.0016716302,0.023894576,0.16260377,0.0061606015,0.46044186],"genre_scores_gemma":[0.3172711,0.0012044996,0.18682554,0.0017832827,0.00058314914,0.036834963,0.1982661,0.0017242854,0.25550717],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97792155,0.005316083,0.0012851965,0.0011627804,0.0131810745,0.0011334142],"domain_scores_gemma":[0.93114394,0.008744367,0.0032356214,0.004497031,0.050834306,0.0015447079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021244224,0.0010229587,0.0005772347,0.0040601897,0.0024795083,0.0029533822,0.0013768511,0.0010872284,0.026705101],"category_scores_gemma":[0.04058769,0.000632249,0.00063705246,0.0022642121,0.0006565493,0.0022595741,0.0018843549,0.0015455709,0.015733587],"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":[0.0007055096,0.0043504625,0.086003296,0.00074706826,0.00011674305,0.00013456587,0.002851558,0.0021584495,0.011272327,0.008260803,0.47322655,0.41017264],"study_design_scores_gemma":[0.00025178285,0.0032681026,0.36670527,0.0005535613,0.000118184165,0.00025272972,0.0043359497,0.0067069936,0.038139515,0.0019641407,0.5774842,0.00021953393],"about_ca_topic_score_codex":0.030053925,"about_ca_topic_score_gemma":0.03825303,"teacher_disagreement_score":0.030053925,"about_ca_system_score_codex":0.003389432,"about_ca_system_score_gemma":0.010535532,"threshold_uncertainty_score":0.11235154},"labels":[],"label_agreement":null},{"id":"W97028428","doi":"10.1139/tcsme-2009-0009","title":"GREENING THE UK BUILDING STOCK: Historic Trends and Low Carbon Futures 1970-2050","year":2009,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Futures contract; Greenhouse gas; Greening; Business; Efficient energy use; Low-carbon economy; Energy performance; Natural resource economics; Environmental economics; Environmental science; Engineering; Economics; Finance","score_opus":0.0071953094967302615,"score_gpt":0.19536883404714592,"score_spread":0.18817352455041567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W97028428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8089463,0.021956695,0.0029595369,0.0050166356,0.00045386533,0.000052308296,0.074727476,0.0003633659,0.085523985],"genre_scores_gemma":[0.9655894,0.008193064,0.0008528039,0.00020267788,0.0000538212,0.000023186343,0.014547067,0.00003171005,0.0105062565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997377,0.000019732914,0.000030536805,0.000033046035,0.0001145691,0.00006450821],"domain_scores_gemma":[0.9994293,0.000039190196,0.00014681286,0.000025563835,0.0003117757,0.000047337275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032222847,0.00035041437,0.00014495399,0.0014399347,0.00026218555,0.00094258005,0.00021396058,0.00045309088,0.0053704563],"category_scores_gemma":[0.0011664118,0.00018082677,0.00029040826,0.0028721811,0.0002744128,0.0012922358,0.00052943226,0.00039526267,0.00201544],"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":[0.00096210156,0.000100375364,0.4617644,0.0019813527,0.00021097636,0.0013515094,0.002533662,0.024906702,0.003614856,0.01953417,0.09981963,0.3832202],"study_design_scores_gemma":[0.00001129845,0.00011626142,0.812693,0.00031506774,0.000050846298,0.00049524877,0.001193611,0.0030167154,0.0010082436,0.0006727942,0.18038055,0.000046377085],"about_ca_topic_score_codex":0.15999824,"about_ca_topic_score_gemma":0.2975795,"teacher_disagreement_score":0.15999824,"about_ca_system_score_codex":0.0036277575,"about_ca_system_score_gemma":0.000835154,"threshold_uncertainty_score":0.3181339},"labels":[],"label_agreement":null},{"id":"W998355630","doi":"10.1007/s12053-015-9356-0","title":"Energy performance contracts in the municipal sector in Norway: overcoming barriers to energy savings?","year":2015,"lang":"en","type":"article","venue":"Energy Efficiency","topic":"Energy Efficiency and Management","field":"Energy","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"Norges Forskningsråd","keywords":"Competence (human resources); Efficient energy use; Business; Environmental economics; Energy (signal processing); Sustainable development; Finance; Economics; Industrial organization; Public economics; Engineering; Management","score_opus":0.016584545199931945,"score_gpt":0.2315818220901136,"score_spread":0.21499727689018167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W998355630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940532,0.0011764517,0.0005695555,0.014772582,0.000109527486,0.000043714186,0.00039975366,0.0000146900875,0.042381775],"genre_scores_gemma":[0.99335176,0.00028381762,0.00024984693,0.00034450906,0.000012541062,0.000015999822,0.00011714984,0.0000064749024,0.005617904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.994356,0.001617357,0.00028877374,0.00027876918,0.0010067896,0.0024522955],"domain_scores_gemma":[0.9919117,0.0030227688,0.0014037078,0.00032339434,0.001290377,0.002048086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005066273,0.0000928786,0.00031656635,0.00036844314,0.002319164,0.003641474,0.0009319001,0.0013536679,0.009161382],"category_scores_gemma":[0.012306296,0.00020966708,0.0001838589,0.0013521777,0.0013244704,0.0030122101,0.0021477777,0.0012761896,0.00033458244],"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":[0.0009370118,0.00071205583,0.37922686,0.0007617517,0.000070876114,0.002493888,0.028867563,0.010784713,0.0022930128,0.40972492,0.03627564,0.12785162],"study_design_scores_gemma":[0.000117323856,0.00028813526,0.6538863,0.000924128,0.00004671835,0.00035815456,0.122774266,0.0056865774,0.00086084654,0.016778072,0.1981952,0.00008429239],"about_ca_topic_score_codex":0.32628897,"about_ca_topic_score_gemma":0.530029,"teacher_disagreement_score":0.32628897,"about_ca_system_score_codex":0.009360177,"about_ca_system_score_gemma":0.035510838,"threshold_uncertainty_score":0.6487795},"labels":[],"label_agreement":null}]}