{"meta":{"query_hash":"c54fa8860410","filters":{"venue":"Journal of Energy - Energija"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/c54fa8860410","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Energy+-+Energija"},"results":[{"id":"W2746741631","doi":"10.37798/2009583301","title":"EXPERIMENTAL FERRORESONANT CIRCUIT AS A PHYSICAL MODEL OF A FERRORESONANT PART OF THE ELECTRICAL POWER NETWORK","year":2022,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Magnetic Properties and Applications","field":"Materials Science","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":"Ferroresonance in electricity networks; Electrical network; Electrical engineering; Engineering; Electric power system; Power (physics); Voltage; Electronic engineering; Transformer; Physics","score_opus":0.01951078786240328,"score_gpt":0.23341312527207886,"score_spread":0.21390233740967557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746741631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7867671,0.00029237347,0.1716732,0.00027036617,0.00011970341,0.0003091188,0.00094222475,0.0005784552,0.039047465],"genre_scores_gemma":[0.98023635,0.00010632076,0.016423477,0.000036799825,0.0000072233393,0.00009317972,0.0002667991,0.000019930856,0.002809853],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969983,0.00005400458,0.000013731569,0.000071117924,0.00013997508,0.000021314165],"domain_scores_gemma":[0.99973184,0.00009101792,0.000028872917,0.00006229453,0.00007602344,0.000009938222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533459,0.00023577113,0.000116048956,0.0001715673,0.00024672496,0.0002397609,0.0006621766,0.00026526747,0.0045170984],"category_scores_gemma":[0.0005600185,0.00010805296,0.00007742802,0.00023237955,0.00063935714,0.00042797707,0.00013809282,0.00043805415,0.00028358013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024732857,0.00029683934,0.002684103,0.00024459098,0.000016054862,0.00027368424,0.00014353936,0.01329921,0.9464981,0.02304637,0.0014700147,0.011780301],"study_design_scores_gemma":[0.00013217752,0.00110956,0.01089219,0.000029739986,0.000039805458,0.0006815589,0.0003035462,0.08542063,0.8712141,0.0037352403,0.026415294,0.000026137739],"about_ca_topic_score_codex":0.0017232798,"about_ca_topic_score_gemma":0.0029958698,"teacher_disagreement_score":0.0045170984,"about_ca_system_score_codex":0.00059874984,"about_ca_system_score_gemma":0.00027552198,"threshold_uncertainty_score":0.015111208},"labels":[],"label_agreement":null},{"id":"W2749339364","doi":"10.37798/2008572321","title":"PROFITABILITY OF INCENTIVE PURCHASE PRICES FOR WIND FARM PROJECTS IN CROATIA","year":2022,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Electric Power System Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physics; Humanities; Agricultural science; Environmental science; Art","score_opus":0.009383884865465953,"score_gpt":0.21622568857825775,"score_spread":0.2068418037127918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749339364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99093115,0.00025106673,0.0013673028,0.000084127205,0.0000148209265,0.000027736365,0.00037646934,0.000042012627,0.006905247],"genre_scores_gemma":[0.99756086,0.000111601265,0.00061477046,0.0000058002115,0.0000037498266,0.000008360976,0.0003098321,0.000013395965,0.0013716127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987457,0.00023567426,0.00006711312,0.00019845914,0.00052441383,0.0002285495],"domain_scores_gemma":[0.99791163,0.0009778726,0.00045306326,0.000066709574,0.00045865242,0.00013198587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014904347,0.00023074949,0.00047010463,0.0010873615,0.00038916213,0.0023134581,0.0004883526,0.00063583476,0.0030339775],"category_scores_gemma":[0.0036336745,0.00035357845,0.00054681674,0.001116303,0.00050374353,0.0009861436,0.0004667017,0.00080496754,0.00038426256],"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":[0.0014049666,0.0011501558,0.3688367,0.00036503034,0.00014046271,0.003972367,0.000686736,0.5104855,0.0067389985,0.025476065,0.005519192,0.07522388],"study_design_scores_gemma":[0.00013109556,0.00076687074,0.52553254,0.000113010356,0.00007726572,0.00072425534,0.0017827745,0.45499313,0.005746284,0.004187731,0.005785115,0.00015985924],"about_ca_topic_score_codex":0.022043511,"about_ca_topic_score_gemma":0.021093331,"teacher_disagreement_score":0.022043511,"about_ca_system_score_codex":0.002304761,"about_ca_system_score_gemma":0.0014663321,"threshold_uncertainty_score":0.043830454},"labels":[],"label_agreement":null},{"id":"W2783223033","doi":"10.37798/2015641-4157","title":"Phase shifting autotransformer, transmission switching and battery energy storage systems to ensure n-1 criterion of stability","year":2022,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Independent Electricity System Operator","funders":"","keywords":"Autotransformer; Dispatchable generation; Electric power system; Transmission system; Energy storage; Battery (electricity); Computer science; Transmission (telecommunications); Energy management system; Renewable energy; Software; Electric power transmission; Power (physics); Automotive engineering; Engineering; Electrical engineering; Energy (signal processing); Energy management; Voltage; Distributed generation; Transformer","score_opus":0.009438585863536453,"score_gpt":0.2225160497912466,"score_spread":0.21307746392771013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783223033","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07770382,0.0011882661,0.90633374,0.00011902254,0.00004770134,0.0001032316,0.00007747537,0.0004372871,0.013989484],"genre_scores_gemma":[0.8939351,0.00068958633,0.10130946,0.000028756749,0.000027383234,0.00006864464,0.00006059994,0.00004579745,0.0038346502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997924,0.00005996731,0.000013671815,0.000030441033,0.00009359087,0.000009981225],"domain_scores_gemma":[0.99972063,0.00012452369,0.00005593406,0.000029348843,0.000062541454,0.000006960027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031996684,0.00031469017,0.0002531472,0.00026732168,0.00023017047,0.0005356485,0.00036736307,0.00020577674,0.0025916782],"category_scores_gemma":[0.0006906106,0.00011605826,0.00022812813,0.0004669088,0.0002860659,0.0005508665,0.00018804219,0.00029306507,0.00026099317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020067365,0.00010933342,0.0022823918,0.00059379445,0.00007972676,0.00022836274,0.0001982824,0.5620264,0.052316803,0.07736418,0.0020285633,0.30257145],"study_design_scores_gemma":[0.000043377127,0.00023799158,0.0014943304,0.000043547858,0.00003392902,0.00031929722,0.000047937196,0.94266075,0.022517532,0.022037929,0.010544806,0.00001843447],"about_ca_topic_score_codex":0.0015291534,"about_ca_topic_score_gemma":0.002547955,"teacher_disagreement_score":0.0025916782,"about_ca_system_score_codex":0.00039395847,"about_ca_system_score_gemma":0.0005393717,"threshold_uncertainty_score":0.008669972},"labels":[],"label_agreement":null},{"id":"W2903879578","doi":"10.37798/2010591-4280","title":"Detailed Transients Simulation of a Doubly Fed Induction Generator Wind Turbine System with the EMTP-Type OVNI Simulator","year":2022,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Emtp; Turbine; Simulation; Generator (circuit theory); Steam turbine; Computer science; Control theory (sociology); Engineering; Electric power system; Physics; Power (physics); Mechanical engineering; Control (management)","score_opus":0.008811445174749612,"score_gpt":0.20031043560369832,"score_spread":0.19149899042894872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903879578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8347726,0.00013430807,0.124960646,0.00017582346,0.000047373313,0.0001256827,0.0015449662,0.001553812,0.036684725],"genre_scores_gemma":[0.98779696,0.00008543379,0.009384606,0.000018008683,0.0000028973739,0.00006333914,0.00061500183,0.00004665603,0.0019870477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991655,0.000029208713,0.0000055785636,0.000008198253,0.000027737216,0.000012693986],"domain_scores_gemma":[0.9998135,0.000088044086,0.000023970497,0.000025763868,0.000036166388,0.000012666909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019413963,0.00029764103,0.0003230608,0.00023778623,0.00020302975,0.0003604307,0.00044199344,0.00040386635,0.0015355087],"category_scores_gemma":[0.00054895337,0.00015048329,0.00026138863,0.0003488501,0.00019445701,0.0003366651,0.00020990631,0.00035172552,0.00021090537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038700968,0.000021025886,0.00077829993,0.000024259154,0.000007554989,0.00006829313,0.000042628475,0.99258727,0.0020538834,0.0011094033,0.00032637367,0.0029422808],"study_design_scores_gemma":[0.000008931662,0.00003171097,0.0004922307,0.000002837755,0.0000029126427,0.000011484273,0.0000142035715,0.9978726,0.00085167855,0.00023063965,0.00047811438,0.0000026885134],"about_ca_topic_score_codex":0.0068503246,"about_ca_topic_score_gemma":0.004757396,"teacher_disagreement_score":0.0068503246,"about_ca_system_score_codex":0.0003306397,"about_ca_system_score_gemma":0.0004184409,"threshold_uncertainty_score":0.013620913},"labels":[],"label_agreement":null},{"id":"W2916263204","doi":"10.37798/2014631-4168","title":"Structural-mechanics analysis of the 10g transformer impact","year":2022,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"ABB (Canada)","funders":"","keywords":"Transformer; Engineering; Automotive engineering; Computer science; Electrical engineering; Voltage","score_opus":0.004301174235817312,"score_gpt":0.19285567757313898,"score_spread":0.18855450333732168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916263204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.880948,0.0006115859,0.06992598,0.00028094623,0.00010012919,0.000097704535,0.0013039528,0.0003931135,0.04633863],"genre_scores_gemma":[0.99245703,0.00024442497,0.0016448249,0.000024014525,0.000010165441,0.000018447974,0.0003669166,0.000030491658,0.005203689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977905,0.000017553082,0.000005826702,0.000028657832,0.00012783792,0.000040979616],"domain_scores_gemma":[0.9999162,0.000016854941,0.000013053339,0.00001061159,0.0000344896,0.000008810281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013548603,0.00054909306,0.00036450007,0.00076159067,0.00034644577,0.00043626057,0.00050465745,0.000632544,0.0034958357],"category_scores_gemma":[0.00028235585,0.00019987373,0.0005091667,0.00064607797,0.0004800459,0.0003709548,0.0004491919,0.0003816461,0.00078000803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036953643,0.00021049529,0.043622293,0.00033810965,0.00011893096,0.0038267053,0.00076781824,0.7064097,0.14425486,0.013447335,0.0040460466,0.0825882],"study_design_scores_gemma":[0.000012363491,0.00022746589,0.097457565,0.000058507278,0.000052454787,0.0008232932,0.00091859134,0.86808085,0.019783033,0.0027291833,0.009803851,0.000052866802],"about_ca_topic_score_codex":0.010092859,"about_ca_topic_score_gemma":0.0076383958,"teacher_disagreement_score":0.010092859,"about_ca_system_score_codex":0.00043882607,"about_ca_system_score_gemma":0.00041375015,"threshold_uncertainty_score":0.020068228},"labels":[],"label_agreement":null},{"id":"W2944746072","doi":"10.37798/20196816","title":"STRATEGIC ROLE OF OIL PIPELINES IN EU ENERGY SUPPLY","year":2019,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Global Energy Security and Policy","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":"Oil refinery; Pipeline transport; Petroleum industry; Petroleum; Diversification (marketing strategy); European union; Energy security; Middle East; Business; Renewable energy; Economy; Natural resource economics; Engineering; International trade; Geography; Environmental engineering; Economics; Waste management","score_opus":0.00807153814520376,"score_gpt":0.22188907668100605,"score_spread":0.2138175385358023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944746072","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":[0.18492298,0.005804227,0.009429492,0.010673347,0.00041560587,0.0000823408,0.000342263,0.00017421957,0.7881556],"genre_scores_gemma":[0.95421475,0.002238315,0.0032579794,0.0016368804,0.0000601356,0.000033897064,0.00027383442,0.000059754577,0.03822434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987356,0.00029352674,0.000075447475,0.00022987975,0.0002789682,0.00038658464],"domain_scores_gemma":[0.99948764,0.00009744813,0.00007228042,0.00005670331,0.0001260445,0.00015978528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023034688,0.0003741254,0.00020600662,0.0011853826,0.0018694192,0.0058155055,0.000579237,0.0020094372,0.0076395124],"category_scores_gemma":[0.0024968702,0.00026281425,0.00035498047,0.0017214902,0.0018260126,0.0040355506,0.0073412172,0.0014607135,0.0009710107],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010874489,0.000046841393,0.0035727746,0.00016145238,0.000021082327,0.0010033449,0.0011801631,0.002411425,0.001087658,0.91246545,0.010324127,0.067616895],"study_design_scores_gemma":[0.000052807874,0.00014512427,0.010087499,0.0003677237,0.000027803175,0.0006594123,0.003614586,0.002280105,0.0019003261,0.109163724,0.87165016,0.000050788323],"about_ca_topic_score_codex":0.0057585263,"about_ca_topic_score_gemma":0.0033450094,"teacher_disagreement_score":0.0076395124,"about_ca_system_score_codex":0.0033930647,"about_ca_system_score_gemma":0.0043899557,"threshold_uncertainty_score":0.025556684},"labels":[],"label_agreement":null},{"id":"W4292603972","doi":"10.37798/2011601-4256","title":"Reduction of the double-circuit flashovers on a 400 kV overhead line","year":2022,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Electrical engineering; Arc flash; Engineering; Lightning (connector); Surge arrester; Line (geometry); Overhead line; Emtp; Insulator (electricity); Overvoltage; Lightning arrester; Voltage; Electric power system; Physics; Power (physics); Mathematics","score_opus":0.011347707954166357,"score_gpt":0.21046732239351823,"score_spread":0.19911961443935186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292603972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051976,0.00013676682,0.007284636,0.00001993901,0.0000058230494,0.000007717084,0.00010733701,0.0003335065,0.0015844754],"genre_scores_gemma":[0.99851483,0.000037610105,0.00091327436,0.0000018096962,0.0000011592421,0.000002072086,0.00007823004,0.000010203076,0.00044073214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993,0.000009542411,0.0000034252807,0.000012239548,0.000032871172,0.00001188184],"domain_scores_gemma":[0.9997222,0.0000940005,0.00004334061,0.000043818007,0.00007412247,0.000022519449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076149736,0.00024128042,0.00022120812,0.00038714052,0.00010062789,0.0001957962,0.00012662481,0.00017985796,0.0021303026],"category_scores_gemma":[0.0005751693,0.00004598281,0.00010957199,0.00026646594,0.00007554364,0.00023999259,0.000110326866,0.00012973261,0.00018642511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008037341,0.00024171664,0.023622986,0.0003155384,0.00007216952,0.0009276082,0.00017486484,0.12543288,0.61185795,0.00056638214,0.0011736718,0.23481056],"study_design_scores_gemma":[0.000076257274,0.0036917662,0.20431907,0.000033592663,0.00018958788,0.0014985806,0.00044113767,0.32286102,0.45895597,0.0007851892,0.0071087293,0.00003919093],"about_ca_topic_score_codex":0.00080941804,"about_ca_topic_score_gemma":0.0008465367,"teacher_disagreement_score":0.0021303026,"about_ca_system_score_codex":0.00016335346,"about_ca_system_score_gemma":0.00009136435,"threshold_uncertainty_score":0.0071265697},"labels":[],"label_agreement":null},{"id":"W4399361088","doi":"10.37798/2024732502","title":"Regression Learner Application Model-Based Short-Term Load Forecasting for Mascouche (Quebec, Canada)","year":2024,"lang":"en","type":"article","venue":"Journal of Energy - Energija","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","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":"Term (time); Computer science; Regression analysis; Econometrics; Regression; Statistics; Artificial intelligence; Machine learning; Mathematics","score_opus":0.02444436779833319,"score_gpt":0.249596026242515,"score_spread":0.2251516584441818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399361088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7275754,0.0037338743,0.11034532,0.0060322313,0.0005454848,0.0005496519,0.07897462,0.022288878,0.0499546],"genre_scores_gemma":[0.894006,0.0010120878,0.03715409,0.00021361293,0.000058268346,0.000120974204,0.0398016,0.0003342536,0.027299125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976677,0.000026642025,0.000011608731,0.000060170973,0.00007915248,0.00005573153],"domain_scores_gemma":[0.9988135,0.00018595484,0.00003884399,0.000062438485,0.0008157104,0.00008354332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065287994,0.00067545776,0.0003925382,0.0008847627,0.0008617271,0.0011157984,0.0011483693,0.00047931503,0.0062288316],"category_scores_gemma":[0.0023629789,0.00019558123,0.00034624335,0.0013663332,0.0001798072,0.000522748,0.00033880805,0.00069846195,0.0014791321],"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":[0.0004988488,0.00043134028,0.07259524,0.00026411447,0.00019774128,0.00040056038,0.0002194784,0.4541605,0.0043099015,0.0025470601,0.15163636,0.31273898],"study_design_scores_gemma":[0.000028523818,0.000023678082,0.021744965,0.000019906074,0.000020504105,0.000017329881,0.00013842667,0.96386325,0.0013580895,0.00028892723,0.012469391,0.000027076623],"about_ca_topic_score_codex":0.98539793,"about_ca_topic_score_gemma":0.9842009,"teacher_disagreement_score":0.014602065,"about_ca_system_score_codex":0.009363331,"about_ca_system_score_gemma":0.011870492,"threshold_uncertainty_score":0.06793612},"labels":[],"label_agreement":null}]}