{"meta":{"query_hash":"1148446d0345","filters":{"venue":"Journal of Population Research"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"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/1148446d0345","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Population+Research"},"results":[{"id":"W1967317938","doi":"10.1007/s12546-013-9117-x","title":"Measurement models of women’s autonomy using the 1998/1999 India DHS","year":2013,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Autonomy; Sociology; Political science; Gerontology; Demography; Medicine; Law","score_opus":0.28451408666351014,"score_gpt":0.42370875522891444,"score_spread":0.1391946685654043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967317938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545076,0.00017430457,0.022963824,0.0014737309,0.000047690857,0.00049240666,0.0058561154,0.00008632405,0.014397961],"genre_scores_gemma":[0.9898106,0.00008399074,0.0066880835,0.000035558525,0.000009364997,0.00026155642,0.0021917191,0.000009293315,0.00090989197],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99440986,0.0039034488,0.0002999677,0.0004592836,0.0004806464,0.00044675585],"domain_scores_gemma":[0.98114544,0.0113298325,0.0022175247,0.0018234756,0.0031185327,0.00036528127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009393509,0.00046875907,0.0004380527,0.0017315206,0.0009424907,0.002229415,0.001658366,0.00037171558,0.0026050147],"category_scores_gemma":[0.028325634,0.0003908648,0.0008455729,0.005142633,0.0010100295,0.0012434202,0.0013383719,0.0011990578,0.00053082797],"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":[0.00009758569,0.00019185776,0.90203667,0.00010815377,0.00034309138,0.000090515336,0.008012422,0.020976689,0.00019388103,0.032887433,0.005199463,0.029862218],"study_design_scores_gemma":[0.000061020288,0.00028384378,0.82261336,0.00018732439,0.00032037921,0.00017793066,0.02509038,0.11633699,0.00077441765,0.017754074,0.016286973,0.00011334753],"about_ca_topic_score_codex":0.16106647,"about_ca_topic_score_gemma":0.10798173,"teacher_disagreement_score":0.16106647,"about_ca_system_score_codex":0.004074245,"about_ca_system_score_gemma":0.0033604586,"threshold_uncertainty_score":0.3202579},"labels":[],"label_agreement":null},{"id":"W1988424043","doi":"10.1007/s12546-013-9118-9","title":"Estimating historic population data for small geographies using census housing information","year":2013,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","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":"Census; Population; Unit (ring theory); Census tract; Geography; Quarter (Canadian coin); Sample (material); Estimation; Demography; Population statistics; Demographic analysis; Statistics; Sociology; Mathematics; Economics; Archaeology","score_opus":0.3402968571442207,"score_gpt":0.45980963887088033,"score_spread":0.11951278172665963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988424043","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":[0.84839886,0.0005003002,0.09459052,0.00023680786,0.00010395016,0.00028729657,0.0478957,0.0010756943,0.0069108484],"genre_scores_gemma":[0.8409379,0.0003615478,0.089206524,0.0000295593,0.0000315754,0.00033375405,0.0669578,0.000090622154,0.0020506359],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992009,0.00022382496,0.000093426825,0.00019646523,0.00020540312,0.00008007728],"domain_scores_gemma":[0.9955733,0.0014927638,0.00058633345,0.0010396007,0.001157957,0.00015007422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016629217,0.0004321099,0.00048078943,0.005411097,0.00047124893,0.0008660685,0.0010649038,0.00047476016,0.0035276585],"category_scores_gemma":[0.010314096,0.0007078652,0.0007389615,0.0072187055,0.00023632521,0.0016443243,0.0009353738,0.00060287706,0.0016245632],"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":[0.00018648834,0.00031411127,0.7735329,0.000206372,0.00035691465,0.00016284738,0.00047525828,0.057607297,0.0010225166,0.0038916413,0.014334212,0.14790936],"study_design_scores_gemma":[0.000120287405,0.00019800516,0.69159627,0.00017361854,0.0003766955,0.00019074141,0.0019493019,0.26972893,0.0032594,0.006316618,0.025993418,0.00009672095],"about_ca_topic_score_codex":0.11949592,"about_ca_topic_score_gemma":0.1900647,"teacher_disagreement_score":0.11949592,"about_ca_system_score_codex":0.0014629825,"about_ca_system_score_gemma":0.0015382869,"threshold_uncertainty_score":0.23760074},"labels":[],"label_agreement":null},{"id":"W2015356677","doi":"10.1007/s12546-010-9033-2","title":"Context, relationship transitions and conflict: explaining outcomes for Australian youth from non-intact families","year":2010,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":9,"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":"Australian Research Council; Australian National University","keywords":"Stepfamily; Disadvantage; Context (archaeology); Educational attainment; Psychology; Developmental psychology; Demography; Quarter (Canadian coin); Sociology; Geography; Political science","score_opus":0.2045080300116776,"score_gpt":0.4481183286814118,"score_spread":0.24361029866973422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015356677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932396,0.00017463256,0.0000294466,0.00011859615,0.0000044534395,0.000012538841,0.000057672783,8.211077e-7,0.00027791338],"genre_scores_gemma":[0.9996152,0.00011162981,0.00005192001,0.000013756515,0.0000019733911,0.000015752441,0.00006286817,9.593485e-7,0.00012601248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751866,0.0008482045,0.00018062725,0.00018852537,0.00031338495,0.00095067575],"domain_scores_gemma":[0.9944706,0.0010004404,0.0015977048,0.00026822957,0.0007168734,0.0019461773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038316716,0.00057827664,0.00095309987,0.0012463126,0.00569831,0.00323996,0.0015096025,0.000987512,0.0018280656],"category_scores_gemma":[0.013723682,0.00042459025,0.0013383395,0.0021122582,0.001443151,0.0017038796,0.0056926934,0.0030427708,0.000195535],"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":[0.00009727331,0.00019702045,0.9796373,0.000027192671,0.00006210524,0.00020425746,0.015908528,0.0000707397,0.0000394377,0.00015594937,0.00011499085,0.0034852708],"study_design_scores_gemma":[0.000004911181,0.0001677426,0.9701905,0.000059854865,0.00006211072,0.00012871824,0.028501112,0.0002991402,0.0000406219,0.00028544973,0.0002476322,0.000012046971],"about_ca_topic_score_codex":0.19379033,"about_ca_topic_score_gemma":0.2133049,"teacher_disagreement_score":0.19379033,"about_ca_system_score_codex":0.0037011465,"about_ca_system_score_gemma":0.004845492,"threshold_uncertainty_score":0.38532466},"labels":[],"label_agreement":null},{"id":"W2806322886","doi":"10.1007/s12546-019-09232-x","title":"A reformulation and assessment of the Global AgeWatch Wellbeing Index: inclusion of a gender-based domain","year":2019,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Global Health Care Issues","field":"Health Professions","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":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Index (typography); Inclusion (mineral); Ranking (information retrieval); Inequality; Domain (mathematical analysis); Financial inclusion; Social security; Demographic economics; Economic inequality; Economics; Fertility; Econometrics; Sociology; Population; Demography; Mathematics; Computer science; Social science","score_opus":0.1292022076709558,"score_gpt":0.563029140254884,"score_spread":0.43382693258392824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806322886","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":[0.8034703,0.002719039,0.07503579,0.0055087805,0.0020982323,0.0038340904,0.035929557,0.00047234606,0.070931785],"genre_scores_gemma":[0.86239237,0.0012329323,0.09997869,0.0011801737,0.00029119645,0.0054253107,0.020972967,0.00021060361,0.008315666],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995784,0.0011401001,0.0007723166,0.00042228145,0.0015968349,0.00028448272],"domain_scores_gemma":[0.9927873,0.0011991612,0.0008458164,0.0008179172,0.0040600603,0.00028971673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007492422,0.00066049467,0.00063977495,0.0031282443,0.00083725713,0.0019192785,0.0012016235,0.0005458564,0.003071057],"category_scores_gemma":[0.015326534,0.00024025289,0.0016829219,0.0035538126,0.0008202958,0.0015864847,0.002952818,0.0014739529,0.0011892318],"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":[0.00055375596,0.0004288515,0.6765219,0.000768748,0.00046729934,0.000117554744,0.0039414866,0.0017344834,0.003343103,0.014089884,0.023255441,0.27477753],"study_design_scores_gemma":[0.00005265855,0.00066495937,0.9141846,0.00051109266,0.00026096267,0.00022583942,0.003949254,0.0031106777,0.0034920282,0.004746197,0.068699226,0.00010246331],"about_ca_topic_score_codex":0.015896937,"about_ca_topic_score_gemma":0.03272471,"teacher_disagreement_score":0.015896937,"about_ca_system_score_codex":0.0018155366,"about_ca_system_score_gemma":0.0036856267,"threshold_uncertainty_score":0.039624214},"labels":[],"label_agreement":null},{"id":"W2902498611","doi":"10.1007/s12546-018-9211-1","title":"Australian migration propensities by visa class: an analysis of linked administrative data","year":2018,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":9,"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); Net migration rate; Population; Immigration; Demographic economics; Citizenship; Aggregate data; Geography; Matching (statistics); Demography; Political science; Sociology; Statistics; Economics; Law; Population growth; Mathematics","score_opus":0.34043448498528533,"score_gpt":0.5462709644428408,"score_spread":0.2058364794575555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902498611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954659,0.00012919364,0.00038398153,0.00011659858,0.0000069814982,0.000032355412,0.0031921347,0.0000102619915,0.00066269323],"genre_scores_gemma":[0.98983043,0.00014582054,0.0009220466,0.000046711524,0.000009120026,0.000092725066,0.008200286,0.000017853588,0.0007349995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9928973,0.0034814635,0.00061174267,0.00071119884,0.0014516623,0.0008465977],"domain_scores_gemma":[0.9762295,0.009570588,0.007900888,0.0026069225,0.002653503,0.0010386591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059047933,0.00036026002,0.0006838011,0.006125013,0.0012544469,0.0017686641,0.0014288797,0.0006502154,0.002076449],"category_scores_gemma":[0.028558275,0.0005567576,0.0012412138,0.015299392,0.00081867434,0.0010334197,0.003199997,0.0012652514,0.0005726429],"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":[0.00009374683,0.000076173266,0.9916609,0.00004370097,0.0003685299,0.00008902423,0.001989407,0.00041819035,0.00014483545,0.0004007338,0.0008825625,0.0038320941],"study_design_scores_gemma":[0.0000044828944,0.000026399322,0.99638003,0.000021100836,0.000064053056,0.00004402273,0.0011737974,0.0013213309,0.000040040668,0.000108081156,0.0008088877,0.000007896169],"about_ca_topic_score_codex":0.1745775,"about_ca_topic_score_gemma":0.17085555,"teacher_disagreement_score":0.1745775,"about_ca_system_score_codex":0.0016712556,"about_ca_system_score_gemma":0.0027236573,"threshold_uncertainty_score":0.34712273},"labels":[],"label_agreement":null},{"id":"W2979862621","doi":"10.1007/s12546-019-09235-8","title":"Determinants of adults’ solo living in Canada: a longitudinal perspective","year":2019,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Lakehead University","funders":"","keywords":"Panel Study of Income Dynamics; Census; Gerontology; Longitudinal study; Demography; Observational study; Independent living; Panel data; Socioeconomic status; Activities of daily living; Psychology; Medicine; Socioeconomics; Demographic economics; Sociology; Population; Economics","score_opus":0.053290761489206286,"score_gpt":0.4041197110755994,"score_spread":0.3508289495863931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979862621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98858225,0.0014220228,0.0001195467,0.0012763578,0.000033611275,0.000042688054,0.006339095,0.000013123809,0.0021712934],"genre_scores_gemma":[0.9947326,0.00092120934,0.00014359737,0.00018845047,0.000012789175,0.00002932034,0.0026607628,0.000005846021,0.0013054797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985361,0.000111190944,0.000086900116,0.00019709508,0.00027846865,0.0007903187],"domain_scores_gemma":[0.9958658,0.00018319149,0.0006042241,0.00013641824,0.0017465714,0.0014637264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013962182,0.00040748378,0.0004841508,0.002295508,0.0046403217,0.0026689782,0.0017842853,0.0013555784,0.0030733442],"category_scores_gemma":[0.003498792,0.00045021556,0.0012101826,0.0063234246,0.0010242211,0.0013747364,0.0022447545,0.0023437254,0.00031596152],"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":[0.00006576013,0.000082664454,0.99336904,0.000018855026,0.00007154537,0.00005670137,0.0018718218,0.00012251479,0.000064004176,0.00026442308,0.0010153899,0.002997202],"study_design_scores_gemma":[0.0000029814912,0.000025832956,0.993419,0.00005613967,0.00002904588,0.000027075623,0.0048004887,0.00029739973,0.000028304172,0.00007348205,0.0012229647,0.000017386084],"about_ca_topic_score_codex":0.99569404,"about_ca_topic_score_gemma":0.9965455,"teacher_disagreement_score":0.027301354,"about_ca_system_score_codex":0.027301354,"about_ca_system_score_gemma":0.055420093,"threshold_uncertainty_score":0.19808614},"labels":[],"label_agreement":null},{"id":"W3097364423","doi":"10.1007/s12546-020-09247-9","title":"Modal lifespan and disparity at older ages by leading causes of death: a Canada-U.S. comparison","year":2020,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; AXA Research Fund; Agence Nationale de la Recherche","keywords":"Gerontology; Modal; Older people; Demography; Medicine; Psychology; Sociology","score_opus":0.12080431620910495,"score_gpt":0.42863211783209165,"score_spread":0.30782780162298673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097364423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717381,0.002503823,0.0004024482,0.0006443548,0.000032609234,0.000047610778,0.01770458,0.000025551817,0.006900959],"genre_scores_gemma":[0.99392575,0.00068430137,0.00019197921,0.00006870436,0.0000065721006,0.000010021973,0.0046402123,0.000005203086,0.00046736447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928916,0.00005000685,0.000041576306,0.00012238571,0.00021510929,0.00028171553],"domain_scores_gemma":[0.99759126,0.00018188155,0.00040186514,0.00008119064,0.0012986552,0.00044528427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008148891,0.00032033707,0.00040048012,0.0036351837,0.0014926454,0.001017488,0.0007256565,0.00036362978,0.0032174797],"category_scores_gemma":[0.0027720726,0.00013822364,0.00080410123,0.008099548,0.0004499839,0.00040840797,0.0013346678,0.0005772923,0.00017861142],"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":[0.00018760182,0.000026407182,0.9817488,0.00008639445,0.00023201175,0.0001293392,0.0006940312,0.00057977636,0.00016636807,0.0012343092,0.0034384257,0.011476496],"study_design_scores_gemma":[0.0000061095834,0.000017326316,0.9968022,0.000035904417,0.00005683914,0.000047653437,0.001046839,0.0004806898,0.000043800123,0.000071421484,0.0013796162,0.00001158206],"about_ca_topic_score_codex":0.98918134,"about_ca_topic_score_gemma":0.99294406,"teacher_disagreement_score":0.011513211,"about_ca_system_score_codex":0.011513211,"about_ca_system_score_gemma":0.015606165,"threshold_uncertainty_score":0.08353466},"labels":[],"label_agreement":null},{"id":"W3155720386","doi":"10.1007/s12546-021-09259-z","title":"Continuity and changes in attitudes toward marriage in contemporary Taiwan","year":2021,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministry of Science and Technology, Taiwan","keywords":"Fertility; Autonomy; Context (archaeology); Happiness; Liberalization; Arranged Marriage; Cohort; Value (mathematics); Demographic economics; Population; Sociology; Social psychology; Psychology; Demography; Political science; Economics; Gender studies; Law; Geography; Medicine","score_opus":0.3128318048964431,"score_gpt":0.4837332890951015,"score_spread":0.17090148419865842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155720386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996766,0.000041916082,0.000007902138,0.000033647135,0.0000016234072,0.0000015051853,0.000020546357,4.5660747e-7,0.00021573661],"genre_scores_gemma":[0.9997199,0.000032454293,0.000008404601,0.000008814678,0.0000022510753,0.0000012757168,0.000042030704,4.0839663e-7,0.0001844896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998055,0.000035963516,0.00002281781,0.00003833678,0.000023573106,0.00007383726],"domain_scores_gemma":[0.99907315,0.00010822301,0.00032869496,0.000045865952,0.00010513239,0.00033886763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043891458,0.00012587266,0.00018232888,0.0012470791,0.0009821212,0.00082044053,0.00040717097,0.0005190943,0.0024038304],"category_scores_gemma":[0.0013422646,0.00019447481,0.000291028,0.0014278792,0.00071420835,0.0007342929,0.00057702983,0.0008271667,0.00019348215],"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":[0.00015460818,0.00009649588,0.98980767,0.000009106501,0.000031743733,0.00015826886,0.006402048,0.000042493208,0.00046369957,0.0001354966,0.000055303433,0.0026430495],"study_design_scores_gemma":[0.000002546886,0.00007828157,0.99303496,0.000003258275,0.000008622581,0.000070408176,0.006472887,0.00009932015,0.00003759069,0.000039098533,0.00014935152,0.0000037422415],"about_ca_topic_score_codex":0.044283602,"about_ca_topic_score_gemma":0.06373347,"teacher_disagreement_score":0.044283602,"about_ca_system_score_codex":0.00096138736,"about_ca_system_score_gemma":0.00068784034,"threshold_uncertainty_score":0.08805168},"labels":[],"label_agreement":null},{"id":"W3155743713","doi":"10.1007/s12546-021-09261-5","title":"Indigenous data sovereignty and COVID-19 data issues for American Indian and Alaska Native Tribes and populations","year":2021,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":54,"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":"Indigenous; Sovereignty; Pandemic; Population; Data quality; Racism; Geography; State (computer science); Economic growth; Political science; Socioeconomics; Development economics; Demography; Sociology; Coronavirus disease 2019 (COVID-19); Medicine; Law; Business; Biology; Politics; Economics; Ecology","score_opus":0.742646014750655,"score_gpt":0.670154864775384,"score_spread":0.07249114997527095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155743713","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":[0.14346917,0.005760196,0.041943014,0.38841212,0.006844096,0.0013090561,0.027377674,0.0007291274,0.38415554],"genre_scores_gemma":[0.70025337,0.0046880567,0.05431832,0.14415462,0.0038693296,0.0035166577,0.02154827,0.0011960057,0.0664555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.90159523,0.042696655,0.018314954,0.005929463,0.025384372,0.006079282],"domain_scores_gemma":[0.5428237,0.29929894,0.016913274,0.058742337,0.0700251,0.0121966945],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.19575469,0.0003215383,0.0012390723,0.0050908984,0.010364292,0.017767537,0.007158653,0.0066414243,0.014455385],"category_scores_gemma":[0.33474597,0.0014989518,0.0014938391,0.00745344,0.010093259,0.015247533,0.010915118,0.012356258,0.0027368704],"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":[0.000491621,0.00021911567,0.052464437,0.0012267896,0.00026618745,0.00096869405,0.047541004,0.0008292359,0.0013090759,0.63925165,0.1747754,0.080656834],"study_design_scores_gemma":[0.00015305108,0.0001593814,0.06037963,0.007577395,0.00042988677,0.0014002395,0.059856303,0.002937621,0.0039789756,0.14629391,0.7165594,0.00027426015],"about_ca_topic_score_codex":0.09076813,"about_ca_topic_score_gemma":0.08110125,"teacher_disagreement_score":0.99284136,"about_ca_system_score_codex":0.005746584,"about_ca_system_score_gemma":0.037280384,"threshold_uncertainty_score":0.99177766},"labels":[],"label_agreement":null},{"id":"W4293801838","doi":"10.1007/s12546-022-09289-1","title":"Comparing COVID-19 fatality across countries: a synthetic demographic indicator","year":2022,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"COVID-19 epidemiological studies","field":"Mathematics","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 Montréal","funders":"","keywords":"Case fatality rate; Comparability; Coronavirus disease 2019 (COVID-19); Pandemic; Demography; Medicine; Population; Environmental health; Disease; Mathematics; Infectious disease (medical specialty)","score_opus":0.585671890002815,"score_gpt":0.5809995004093036,"score_spread":0.004672389593511461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293801838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9394592,0.00064829347,0.007223727,0.0007476468,0.00016334327,0.00012097155,0.046541594,0.000096645155,0.0049984856],"genre_scores_gemma":[0.9544722,0.00023752851,0.0028719897,0.0000974579,0.000048334965,0.00016975659,0.041398894,0.000023948909,0.0006798576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995165,0.0031589933,0.000259754,0.0005241273,0.0004892663,0.0004028189],"domain_scores_gemma":[0.98836017,0.004519403,0.0032476657,0.0015698255,0.0016528515,0.0006502071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005794329,0.00043719166,0.0005072419,0.003588726,0.0003437952,0.0013504744,0.0007002074,0.0007490262,0.0032184997],"category_scores_gemma":[0.025190845,0.00023491845,0.0011480335,0.0048091775,0.0006479952,0.0010349291,0.0019617586,0.0012887507,0.00052664196],"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":[0.0019577313,0.00034813766,0.90447915,0.00040079575,0.0027182933,0.00023164421,0.00073908805,0.036758836,0.00036966475,0.0145422,0.01863099,0.018823506],"study_design_scores_gemma":[0.0003478276,0.0014121486,0.9307658,0.000247838,0.000714647,0.0006880832,0.0042455397,0.037697792,0.0008822672,0.005628545,0.017265862,0.00010371149],"about_ca_topic_score_codex":0.009626557,"about_ca_topic_score_gemma":0.005073197,"teacher_disagreement_score":0.009626557,"about_ca_system_score_codex":0.00063360203,"about_ca_system_score_gemma":0.0006413886,"threshold_uncertainty_score":0.030643702},"labels":[],"label_agreement":null},{"id":"W4387958107","doi":"10.1007/s12546-023-09321-y","title":"Indigenous fertility in Aotearoa New Zealand: How does ethnic identity affect birth spacing and timing?","year":2023,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Waikato","keywords":"Aotearoa; Indigenous; Demography; Fertility; Population; Ethnic group; Geography; National Survey of Family Growth; Gender studies; Sociology; Biology; Family planning; Anthropology; Ecology","score_opus":0.16806622434152743,"score_gpt":0.45848247366389894,"score_spread":0.29041624932237153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387958107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884677,0.00016049015,0.00003577292,0.00011621971,0.0000027357498,0.000009044371,0.000100144476,7.5503885e-7,0.0007281707],"genre_scores_gemma":[0.99924856,0.0002257468,0.0000724265,0.000017585597,0.0000019000234,0.000007666322,0.000055263525,8.51397e-7,0.00036997252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996779,0.000085304964,0.000018810671,0.000051228468,0.00007323514,0.00009348952],"domain_scores_gemma":[0.99836916,0.0003950115,0.0007174463,0.000069516165,0.0001953217,0.00025362274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011739323,0.00013345538,0.00023885783,0.00054283004,0.00093098864,0.00060064223,0.00053298497,0.00020325927,0.0020401923],"category_scores_gemma":[0.0047720145,0.00016311361,0.00030188897,0.0010974344,0.00065853016,0.00029517655,0.00053317065,0.0005230408,0.000109444285],"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":[0.0000689629,0.00007277067,0.9789752,0.000043328302,0.000055478762,0.00024918857,0.009435779,0.00011035069,0.0003916163,0.00021502408,0.00016326093,0.010219036],"study_design_scores_gemma":[0.0000019225167,0.000029820643,0.99516845,0.00001884251,0.000011703586,0.00003610873,0.004337354,0.00008486544,0.00002021938,0.00003180391,0.00025544158,0.0000035045791],"about_ca_topic_score_codex":0.6500961,"about_ca_topic_score_gemma":0.7562668,"teacher_disagreement_score":0.6500961,"about_ca_system_score_codex":0.002131288,"about_ca_system_score_gemma":0.0022881755,"threshold_uncertainty_score":0.70392907},"labels":[],"label_agreement":null},{"id":"W4405448139","doi":"10.1007/s12546-024-09359-6","title":"Exploring keys to understanding the challenges of social participation in old age from a generational baby boomer perspective: a scoping review","year":2024,"lang":"en","type":"review","venue":"Journal of Population Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Ministerio de Universidades; Fonds de Recherche du Québec - Santé","keywords":"Baby boomers; Perspective (graphical); Gerontology; Sociology; Life course approach; Psychology; Medicine; Developmental psychology; Demographic economics; Computer science; Economics","score_opus":0.8327213052438559,"score_gpt":0.6391807032037716,"score_spread":0.19354060204008428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405448139","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":[0.00014975999,0.9982887,0.0001249398,0.0010629909,0.00013724047,0.000021823544,0.00002097571,0.0000013043687,0.00019238696],"genre_scores_gemma":[0.0017836005,0.99729997,0.0003242197,0.0003805121,0.00010032494,0.000050086823,0.000018349736,0.0000010332714,0.00004204793],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9954762,0.0019579832,0.00091426144,0.0004039504,0.00096842385,0.00027914156],"domain_scores_gemma":[0.96702874,0.028804803,0.0015481549,0.0002650885,0.0019508644,0.00040226933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015296649,0.001406183,0.005082144,0.007499567,0.0011655367,0.006327177,0.0020628956,0.0040433817,0.0031104467],"category_scores_gemma":[0.03906798,0.0008196966,0.003779282,0.0076127755,0.00224263,0.0062173638,0.004397056,0.004419142,0.00036922935],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009890672,0.00007871451,0.0015049458,0.3176326,0.0022389714,0.00020798763,0.0029886237,0.00033594883,0.00022541001,0.015211612,0.009150248,0.6503261],"study_design_scores_gemma":[0.00003271724,0.000097291115,0.0035105427,0.82371795,0.004694235,0.00041841215,0.0040692785,0.00017755013,0.0001326177,0.01013283,0.15294622,0.000070341375],"about_ca_topic_score_codex":0.01478074,"about_ca_topic_score_gemma":0.03134028,"teacher_disagreement_score":0.015296649,"about_ca_system_score_codex":0.0035861507,"about_ca_system_score_gemma":0.01811415,"threshold_uncertainty_score":0.08089739},"labels":[],"label_agreement":null},{"id":"W4408486704","doi":"10.1007/s12546-025-09370-5","title":"Correction: Exploring keys to understanding the challenges of social participation in old age from a generational baby Boomer perspective: a scoping review","year":2025,"lang":"en","type":"review","venue":"Journal of Population Research","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Baby boomers; Perspective (graphical); Gerontology; Sociology; Social science; Medicine; Computer science; Demographic economics; Economics","score_opus":0.671120296358185,"score_gpt":0.6284605589558013,"score_spread":0.04265973740238371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408486704","genre_codex":"editorial","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":[0.00007646203,0.024929957,0.00050070795,0.20672053,0.76487577,0.00009067821,0.0011490649,0.0001188561,0.0015380066],"genre_scores_gemma":[0.009394971,0.15589619,0.0044854237,0.35764402,0.42605639,0.0018468896,0.00137581,0.00073961937,0.04256065],"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","domain_scores_codex":[0.9741687,0.00672962,0.0071717133,0.001976289,0.008292566,0.0016609937],"domain_scores_gemma":[0.82161367,0.054888345,0.012981366,0.0059751826,0.099632405,0.0049089664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026771918,0.002506486,0.004393444,0.006518882,0.0033719703,0.008077763,0.0067034476,0.0165679,0.029196756],"category_scores_gemma":[0.25922352,0.0014845266,0.0029534623,0.0078096567,0.005397044,0.006550672,0.0067461557,0.01843156,0.017219312],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034443197,0.0000043756386,0.0000777294,0.0036769717,0.00005054163,0.00014028353,0.00017696385,0.00002279159,0.000024351646,0.0009553405,0.98338586,0.011450308],"study_design_scores_gemma":[0.00011546291,0.000029139386,0.00088418345,0.025424905,0.00030288482,0.0005713919,0.0005892272,0.00010017835,0.00013630794,0.0023190442,0.9694308,0.00009634463],"about_ca_topic_score_codex":0.040940825,"about_ca_topic_score_gemma":0.053193644,"teacher_disagreement_score":0.040940825,"about_ca_system_score_codex":0.007875604,"about_ca_system_score_gemma":0.035803143,"threshold_uncertainty_score":0.14158511},"labels":[],"label_agreement":null},{"id":"W4415219824","doi":"10.1007/s12546-025-09397-8","title":"The effect of gender inequalities experienced by mothers on the under-five mortality in cameroon between 2011 and 2018","year":2025,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Global Maternal and Child Health","field":"Medicine","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":"Université du Québec à Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Inequality; Endogeneity; Psychological intervention; Child mortality; Autonomy; Gender inequality; Propensity score matching; Logit; Logistic regression","score_opus":0.1078110449609752,"score_gpt":0.4596989680240533,"score_spread":0.3518879230630781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415219824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965205,0.0008176872,0.000038875864,0.00091099105,0.000046020687,0.0000050571866,0.00087213144,0.0000021491853,0.0007865586],"genre_scores_gemma":[0.9992798,0.00021437496,0.000019589803,0.000054562664,0.000013262559,0.000004736611,0.00017844555,9.895542e-7,0.00023432144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999371,0.00012997125,0.000035972436,0.00006285581,0.00003178901,0.0003684161],"domain_scores_gemma":[0.99909866,0.00016294201,0.00039749144,0.00002705257,0.00011346842,0.00020038312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007209655,0.0003127115,0.00019191195,0.0007424042,0.0005708693,0.0007210576,0.00035850907,0.00043522482,0.0027958069],"category_scores_gemma":[0.0022976014,0.00021808855,0.0004308866,0.0010995269,0.00054735877,0.0009067307,0.0011533177,0.0011527702,0.00015294396],"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":[0.00030443058,0.000036793008,0.9893167,0.00005182785,0.000051213585,0.0004276497,0.002424236,0.00011601611,0.00030429388,0.0004644937,0.0007805748,0.00572165],"study_design_scores_gemma":[0.0000020937973,0.00003153113,0.99558496,0.000036689,0.000017885124,0.000082039965,0.0033501815,0.00010690206,0.00006761481,0.000047265945,0.0006668492,0.0000059321737],"about_ca_topic_score_codex":0.09875341,"about_ca_topic_score_gemma":0.14985555,"teacher_disagreement_score":0.09875341,"about_ca_system_score_codex":0.0018326925,"about_ca_system_score_gemma":0.001262399,"threshold_uncertainty_score":0.19635719},"labels":[],"label_agreement":null},{"id":"W653359933","doi":"10.1007/s12546-015-9153-9","title":"Malthusian pressures: empirical evidence from a frontier economy","year":2015,"lang":"en","type":"article","venue":"Journal of Population Research","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Frontier; CONQUEST; Granger causality; Economics; Sample (material); Order (exchange); Economy; Econometrics; History; Ancient history","score_opus":0.5128958849621715,"score_gpt":0.4243079005015383,"score_spread":0.0885879844606332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W653359933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98059684,0.0021256092,0.0050176554,0.0009098886,0.0000099547615,0.000017392915,0.00012620853,0.000027932561,0.011168529],"genre_scores_gemma":[0.99871874,0.00061080814,0.00024124212,0.000043507127,0.000020211786,0.000002198257,0.00005845218,0.0000042901515,0.00030066448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993926,0.00015507513,0.000033068354,0.000118031545,0.00014234864,0.00015872675],"domain_scores_gemma":[0.9832208,0.009390841,0.004472389,0.0009643068,0.0009953257,0.00095631083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020699843,0.0002819943,0.0005969421,0.0020033105,0.00096473604,0.002084091,0.0005065722,0.00060433056,0.0068929372],"category_scores_gemma":[0.011774447,0.00015586965,0.000511063,0.002242756,0.003060472,0.002419698,0.0013927282,0.001124029,0.00029729534],"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":[0.0006584286,0.0002546181,0.6378026,0.0003827096,0.00050896505,0.0031991454,0.0063017053,0.0201689,0.0019711168,0.2563524,0.0024344397,0.069964916],"study_design_scores_gemma":[0.00015317758,0.00029763993,0.75634784,0.00018188969,0.00031560173,0.0009625625,0.007931674,0.05138663,0.0009902266,0.16899581,0.012319562,0.000117234486],"about_ca_topic_score_codex":0.015462223,"about_ca_topic_score_gemma":0.009475651,"teacher_disagreement_score":0.015462223,"about_ca_system_score_codex":0.0009169461,"about_ca_system_score_gemma":0.00069901836,"threshold_uncertainty_score":0.030744433},"labels":[],"label_agreement":null}]}