{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"50b0a389408d","filters":{"venue":"Journal of Hyperspectral Remote Sensing"}},"results":[{"id":"W4297691281","doi":"10.29150/2237-2202.2022.254276","title":"Avaliação do índice de área foliar e índice de área da planta em floresta seca utilizando modelos simplificados em imagens de alta resolução com o uso de VANT","year":2022,"lang":"pt","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Leaf area index; Normalized Difference Vegetation Index; Physics; Forestry; Mathematics; Geography; Horticulture; Biology; Botany","authors":[{"name":"Cloves Vilas Boas dos Santos","is_ca":false},{"name":"M. S. B. de Moura","is_ca":false},{"name":"Herica Fernanda de Sousa Carvalho","is_ca":false},{"name":"Josiclêda Domiciano Galvíncio","is_ca":false},{"name":"Rodrigo de Queiroga Miranda","is_ca":true},{"name":"Adriana Aparecida Megumi Nishiwaki","is_ca":false},{"name":"Suzana Maria Gico Lima Montenegro","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05310344114836075,"gpt":0.2660901166006492,"spread":0.2129866754522885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526074,0.0009030797,0.0005682373,0.000789299,0.0002591558,0.001096721,0.0004391525,0.0005016169,0.002786757],"category_scores_gemma":[0.0009839133,0.0004415466,0.001050489,0.000896856,0.0002016866,0.0009037826,0.0003498239,0.000450491,0.0007064103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087667,"about_ca_system_score_gemma":0.0007521699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02620344,"about_ca_topic_score_gemma":0.0313315,"domain_scores_codex":[0.9997764,0.0000224909,0.000008477432,0.00008998024,0.00007501959,0.00002764421],"domain_scores_gemma":[0.9996538,0.0001434758,0.00003360471,0.00003739346,0.0001160955,0.00001563264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004764909,0.0001799887,0.06871471,0.0006268222,0.0002464377,0.0003282436,0.0005705475,0.5849903,0.1625943,0.001613232,0.00215596,0.177503],"study_design_scores_gemma":[0.00001749833,0.0001186963,0.04813139,0.00003364577,0.00007841393,0.0001443508,0.0001806911,0.9235994,0.02300338,0.0008029792,0.003837242,0.00005235388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7214765,0.0008348072,0.2632666,0.0002040176,0.00006507226,0.0001000823,0.002587111,0.004040887,0.007424965],"genre_scores_gemma":[0.8766969,0.0005048931,0.115692,0.00003895575,0.000007749431,0.00006790616,0.002152115,0.0002457871,0.004593659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02620344,"threshold_uncertainty_score":0.05210185,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008143242","doi":"10.29150/jhrs.v9.6.p361-372","title":"Downscale of future climate change scenarios applied to Recife-PE","year":2020,"lang":"en","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Universidade Federal de Alagoas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Theoretical Astrophysics","keywords":"Coupled model intercomparison project; Downscaling; Precipitation; Environmental science; Climatology; Climate change; Scale (ratio); Evapotranspiration; Climate model; Representative Concentration Pathways; Climate simulation; Atmospheric sciences; Meteorology; Geography; Ecology; Geology","authors":[{"name":"Rafaela Lisboa Costa","is_ca":false},{"name":"Heliofábio Barros Gomes","is_ca":false},{"name":"Fabrício Daniel dos Santos Silva","is_ca":false},{"name":"Rodrigo Lins da Rocha Júnior","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01834353204875824,"gpt":0.2137935827294345,"spread":0.1954500506806763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066075,0.0006444182,0.0004613648,0.0006235457,0.0003934458,0.0007655071,0.0008329823,0.0004612988,0.001623366],"category_scores_gemma":[0.002827629,0.0003827515,0.0009939451,0.001395317,0.0002880781,0.0007007195,0.0006778991,0.0009389843,0.0002712123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262999,"about_ca_system_score_gemma":0.001861395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1400698,"about_ca_topic_score_gemma":0.1074524,"domain_scores_codex":[0.9994961,0.0001348256,0.00002323116,0.0001356802,0.0001282414,0.00008188147],"domain_scores_gemma":[0.9993067,0.0001472244,0.00006766884,0.0001549537,0.000295425,0.00002807042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002359846,0.00005674177,0.04846327,0.0001095952,0.0002293844,0.0002374893,0.0001471823,0.923499,0.001365892,0.002412174,0.002653432,0.02058977],"study_design_scores_gemma":[0.0001099438,0.0001628873,0.1686737,0.00006269487,0.0001432472,0.000157102,0.0004355681,0.8032513,0.007898084,0.001448467,0.01757144,0.00008549977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688002,0.0001925084,0.009984937,0.0004673844,0.00005266697,0.0001294653,0.007188894,0.0005705249,0.01261335],"genre_scores_gemma":[0.9807613,0.0001736175,0.009372698,0.00004807158,0.00001331534,0.0001486371,0.008089124,0.0001615864,0.001231625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400698,"threshold_uncertainty_score":0.278509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989219195","doi":"10.29150/jhrs.v9.2.p80-87","title":"INTERPOLATION METHODS APPLIED TO THE POPULATION GROWTH ESTIMATE","year":2019,"lang":"en","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Population; Field (mathematics); Interpolation (computer graphics); Estimation; Population growth; Computer science; Continuation; Econometrics; Data science; Statistics; Geography; Demography; Mathematics; Sociology; Artificial intelligence; Economics","authors":[{"name":"Aline M. Damasceno","is_ca":false},{"name":"Paulo R. G. Sucupira","is_ca":true},{"name":"Ana Rita Salgueiro","is_ca":true},{"name":"Cynthia Romariz Duarte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0280395365301329,"gpt":0.2754599062549551,"spread":0.2474203697248222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005624166,0.0005564616,0.000671529,0.002542852,0.0005679991,0.0009193206,0.001033867,0.0007824666,0.003981148],"category_scores_gemma":[0.01877077,0.0003871086,0.001253627,0.00257656,0.0007467847,0.001000312,0.001327218,0.001699004,0.001061042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007453347,"about_ca_system_score_gemma":0.001236828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008033093,"about_ca_topic_score_gemma":0.005456922,"domain_scores_codex":[0.9981434,0.001224415,0.00009488168,0.0001952478,0.0002661253,0.00007585714],"domain_scores_gemma":[0.9924946,0.005889034,0.0002816712,0.0004687838,0.0008031082,0.00006272144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001240024,0.00006330761,0.007487231,0.000317216,0.000131206,0.0001794729,0.0003981371,0.527302,0.002197166,0.1342966,0.003342822,0.3241609],"study_design_scores_gemma":[0.000007532706,0.00003125252,0.001158603,0.00003518362,0.00001297537,0.0000664609,0.00005200551,0.9628366,0.0008936139,0.02784219,0.00704453,0.00001910086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002970508,0.0001928875,0.9954352,0.00009584149,0.0000521633,0.00002566986,0.00009478888,0.0001291044,0.001003877],"genre_scores_gemma":[0.1444416,0.00111938,0.8480527,0.00007783311,0.0001809607,0.0003875278,0.000684252,0.0002152097,0.004840554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008033093,"threshold_uncertainty_score":0.02974373,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390658646","doi":"10.29150/jhrs.v13.4.p512-524","title":"Avaliação da cobertura vegetal de área beneficiada pelo Eixo Leste do Projeto de Integração do Rio São Francisco, utilizando ADIVA","year":2023,"lang":"pt","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Geography; Forestry; Humanities; Art","authors":[{"name":"Juliana Patrícia Fernandes Guedes Barros","is_ca":false},{"name":"Camila Gardenea de Almeida","is_ca":false},{"name":"Gabriel Antonio Silva Soares","is_ca":false},{"name":"Joélia Natália Bezerra da Silva","is_ca":false},{"name":"Carlos José dos Santos Freitas","is_ca":false},{"name":"M. S. B. de Moura","is_ca":false},{"name":"Josiclêda Domiciano Galvíncio","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03366233682294149,"gpt":0.2719730303211217,"spread":0.2383106934981802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006994889,0.0003845975,0.0002097079,0.0009393843,0.0004645324,0.001023053,0.0003472923,0.0002575461,0.001898609],"category_scores_gemma":[0.001025544,0.0002192873,0.0003270822,0.00105859,0.000356163,0.0004555818,0.0005102424,0.0002448829,0.0002688504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00099102,"about_ca_system_score_gemma":0.0009694919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08401013,"about_ca_topic_score_gemma":0.2189003,"domain_scores_codex":[0.9997163,0.00003412624,0.00001185863,0.00009993081,0.00009530864,0.00004229659],"domain_scores_gemma":[0.9992239,0.0001947134,0.0001653896,0.00005094199,0.0002400124,0.0001250509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004335493,0.0002405306,0.8607416,0.0005571903,0.000153565,0.000435498,0.007600684,0.003924314,0.03550214,0.0004938445,0.001569337,0.08834781],"study_design_scores_gemma":[0.00001025588,0.0003288189,0.9805649,0.00006188816,0.00007148667,0.00006496681,0.005746157,0.002085921,0.00381119,0.00006317932,0.007176517,0.00001464888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99463,0.0001270815,0.0008003348,0.00005370693,0.000005334712,0.00003869546,0.0005130832,0.00008512186,0.003746646],"genre_scores_gemma":[0.985816,0.0003533997,0.006940117,0.00002225083,0.000004283524,0.00007523711,0.001015517,0.00002883109,0.005744386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08401013,"threshold_uncertainty_score":0.1670423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390658638","doi":"10.29150/jhrs.v13.3.p375-388","title":"HYDROLOGICAL MODELING USING SWAT IN THE DECISION-MAKING PROCESS FOR THE CONSERVATION OF RIVER BASINS.","year":2023,"lang":"en","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Environmental resource management; Geography; Natural resource management; Environmental planning; Natural resource; Environmental science; Ecology","authors":[{"name":"Nadja Valeria Pinheiro","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05240357003322534,"gpt":0.3140240981084849,"spread":0.2616205280752595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00526436,0.000537045,0.0007707716,0.002228227,0.0003655416,0.002329428,0.0007587105,0.0007784957,0.003378323],"category_scores_gemma":[0.01045577,0.0002798447,0.001319904,0.002986974,0.0005890387,0.002037092,0.0008990009,0.0008263091,0.0006079322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009834301,"about_ca_system_score_gemma":0.003273861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006349238,"about_ca_topic_score_gemma":0.01381554,"domain_scores_codex":[0.997375,0.001758878,0.0002084693,0.0001426313,0.0004778965,0.00003724374],"domain_scores_gemma":[0.9926771,0.005855934,0.0005982248,0.0002064856,0.0005725781,0.00008969047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001821828,0.0001172174,0.01955303,0.02507247,0.002508377,0.000430595,0.00136822,0.2168181,0.002632087,0.1017668,0.02189383,0.6076572],"study_design_scores_gemma":[0.0001281389,0.0004627331,0.01409233,0.01534128,0.002223777,0.0004654586,0.002937831,0.3410369,0.003736092,0.2050046,0.414365,0.0002059375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0535281,0.2645452,0.61409,0.01835318,0.001473083,0.0007760866,0.007751923,0.001379119,0.03810331],"genre_scores_gemma":[0.5144326,0.1518428,0.3229587,0.001569906,0.0006112123,0.0006556493,0.002706124,0.0002402979,0.004982631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006349238,"threshold_uncertainty_score":0.02784091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3006937186","doi":"10.29150/jhrs.v9.6.p353-360","title":"Empiric Forecasting of Dominant Modes to Summer Precipitation Anomaly of Northeast Brazil","year":2020,"lang":"en","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Universidade Federal de Alagoas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Theoretical Astrophysics","keywords":"Intertropical Convergence Zone; Climatology; Anomaly (physics); Precipitation; Sea surface temperature; Rossby wave; Environmental science; Linear regression; Regression analysis; Geography; Meteorology; Geology; Mathematics; Statistics","authors":[{"name":"Rodrigo Lins da Rocha Júnior","is_ca":false},{"name":"Fabrício Daniel dos Santos Silva","is_ca":false},{"name":"Rafaela Lisboa Costa","is_ca":false},{"name":"Heliofábio Barros Gomes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0338693522481941,"gpt":0.2578387861693084,"spread":0.2239694339211143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006485061,0.0002648758,0.0001977369,0.0002967177,0.0001364858,0.0003669957,0.0004020768,0.0002108573,0.0004834408],"category_scores_gemma":[0.002826368,0.0001663058,0.0002831068,0.0001968426,0.0001368723,0.0002867983,0.0001638545,0.0002371098,0.00009307934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006059431,"about_ca_system_score_gemma":0.0005536568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05979667,"about_ca_topic_score_gemma":0.06381305,"domain_scores_codex":[0.9998926,0.00004631304,0.000006363129,0.00003027436,0.000009154895,0.00001527258],"domain_scores_gemma":[0.9992392,0.0005160979,0.00008606449,0.00004357823,0.00008282711,0.00003222433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009670313,0.00005816402,0.18314,0.00003486206,0.00006399609,0.00007769996,0.00007033136,0.7902216,0.001692067,0.0006558683,0.0004792229,0.0234094],"study_design_scores_gemma":[0.000004362973,0.00001280638,0.01580814,0.000004774806,0.000006255121,0.000004426084,0.00001976132,0.9836434,0.0002362049,0.0001431181,0.0001144243,0.000002402217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936875,0.00009474219,0.004887959,0.0001120963,0.000007378061,0.000007307489,0.00018752,0.00006946072,0.0009461028],"genre_scores_gemma":[0.9989645,0.0000306084,0.000766451,0.000003885236,0.000001744908,0.000003012494,0.00009476775,0.000004259552,0.0001306449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05979667,"threshold_uncertainty_score":0.1188972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402622389","doi":"10.29150/jhrs.v13i7.261399","title":"Tailing dams’ accidents and compliance failures: A study in Brazil and Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Forensic engineering; Environmental science; Psychology; Engineering; Social psychology","authors":[{"name":"Yenê Medeiros Paz","is_ca":false},{"name":"Jadson Freire-Silva","is_ca":false},{"name":"Pedro Paulo Lima Silva","is_ca":false},{"name":"Sidney Henrique Campelo de Santana","is_ca":false},{"name":"Elisabeth Regina Alves Cavalcanti Silva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01751758453850417,"gpt":0.2557033476543702,"spread":0.238185763115866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001715301,0.0002183007,0.0006283823,0.01551026,0.003285384,0.003259034,0.0005990546,0.0004627551,0.002520157],"category_scores_gemma":[0.009142512,0.000266655,0.0005482563,0.03970924,0.001366502,0.001322675,0.001368142,0.0004873324,0.0002373242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02029198,"about_ca_system_score_gemma":0.05220594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9632938,"about_ca_topic_score_gemma":0.9819157,"domain_scores_codex":[0.9977704,0.0001279768,0.000231113,0.000279544,0.001013917,0.0005770409],"domain_scores_gemma":[0.9900951,0.002351069,0.00193405,0.0001966667,0.004425855,0.0009972462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001169676,0.0001198628,0.8720368,0.001864024,0.0001526484,0.00242012,0.06806481,0.0001162451,0.0009862664,0.003425733,0.004140319,0.04655631],"study_design_scores_gemma":[0.000006988133,0.00003221572,0.8877555,0.0007596843,0.0001314569,0.0006268316,0.09347896,0.0002595437,0.0002805847,0.0001685549,0.0164576,0.00004199607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779494,0.003774581,0.0001283577,0.001669618,0.00001607271,0.0001030576,0.005111637,0.00001800983,0.01122925],"genre_scores_gemma":[0.9898751,0.005656402,0.0002927559,0.0002649133,0.0000115635,0.00004250802,0.001844717,0.00001592674,0.001996124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670621,"threshold_uncertainty_score":0.1472293,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}