{"meta":{"query_hash":"9b2d9fa2b3e1","filters":{"venue":"Research in labor economics"},"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/9b2d9fa2b3e1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Research+in+labor+economics"},"results":[{"id":"W1497126911","doi":"10.1016/s0147-9121(00)19009-0","title":"Measuring relative quality of life from a cross-migration regression, with an application to Canadian provinces","year":2004,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Standard of living; Regression; Regression analysis; Econometrics; Geography; Statistics; Demographic economics; Economics; Mathematics","score_opus":0.13676941716893182,"score_gpt":0.3241851995845956,"score_spread":0.18741578241566376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497126911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84671587,0.0015380933,0.0006446538,0.0075683594,0.00014132926,0.00185589,0.0053329417,0.00002606084,0.13617678],"genre_scores_gemma":[0.9913037,0.0013345522,0.0011031679,0.00017929103,0.00024101832,0.00013356356,0.00049144885,0.000090655354,0.00512262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967886,0.00004486443,0.0015286157,0.0010790343,0.00010248381,0.00045638066],"domain_scores_gemma":[0.9971333,0.00018126618,0.00093255274,0.0008338857,0.000353993,0.0005650153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021587117,0.00031236088,0.0010345358,0.0014217838,0.00017036681,0.00018727621,0.00060040376,0.0004282959,0.00022288802],"category_scores_gemma":[0.00017866556,0.00034160772,0.00013729879,0.00019904836,0.00024028229,0.0005359256,0.00008905192,0.00057660474,0.00017138703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019269876,0.000037509562,0.031104898,0.000041091153,0.00014128056,0.0000018337196,0.00038457182,0.010807573,0.0000024914889,0.95644873,0.000019021994,0.00081828906],"study_design_scores_gemma":[0.00083355594,0.0002823968,0.035272602,0.00024707662,0.0000093241815,3.3594375e-7,0.00008914882,0.007378556,0.000027041095,0.9258092,0.029274862,0.0007759117],"about_ca_topic_score_codex":0.6222554,"about_ca_topic_score_gemma":0.88025665,"teacher_disagreement_score":0.25800124,"about_ca_system_score_codex":0.0027606771,"about_ca_system_score_gemma":0.0017413754,"threshold_uncertainty_score":0.9999036},"labels":[],"label_agreement":null},{"id":"W152286995","doi":"10.1016/s0147-9121(00)19008-9","title":"Job mobility in 1990s Britain: Does gender matter?","year":2004,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":56,"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":"Layoff; Demographic economics; Quarter (Canadian coin); Promotion (chess); Labour economics; Occupational mobility; Psychology; Neglect; Social psychology; Economics; Political science; Unemployment; Geography; Economic growth","score_opus":0.08872477119396807,"score_gpt":0.3050343173973548,"score_spread":0.21630954620338674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152286995","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40220413,0.0020829926,0.000011802527,0.0018497253,0.00068604486,0.0011236762,0.0039426875,0.000033505214,0.58806545],"genre_scores_gemma":[0.9452361,0.009706825,0.0003147968,0.00049378787,0.00042373597,0.00015607059,0.00019824148,0.00024840675,0.04322207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944169,0.000095616575,0.0022884544,0.0017651658,0.00012716475,0.0013067032],"domain_scores_gemma":[0.99704677,0.00041846753,0.00050823425,0.0015931454,0.00014843253,0.000284975],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0070153363,0.00058266777,0.0014742897,0.0017024807,0.00011602819,0.00031036526,0.0010937781,0.0009746166,0.0036787766],"category_scores_gemma":[0.00016762217,0.00066915486,0.00027872465,0.00027749198,0.00042841458,0.00039598285,0.0005845777,0.002178553,0.0017558256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058104193,0.00013156941,0.13641821,0.0003009898,0.0000554913,0.00006183087,0.00015162109,0.00029377601,3.5673753e-7,0.8620218,0.00007826074,0.00042799546],"study_design_scores_gemma":[0.0008993785,0.00003066827,0.06755038,0.0001360531,0.000002509243,0.0000025456186,0.000034617817,0.00029347927,0.0000016424925,0.8861697,0.044175915,0.0007031156],"about_ca_topic_score_codex":0.0044919546,"about_ca_topic_score_gemma":0.006578331,"teacher_disagreement_score":0.5448434,"about_ca_system_score_codex":0.004026921,"about_ca_system_score_gemma":0.00048530434,"threshold_uncertainty_score":0.99979645},"labels":[],"label_agreement":null},{"id":"W1530346585","doi":"10.1016/s0147-9121(07)00006-4","title":"First- and Second-Generation Immigrant Educational Attainment and Labor Market Outcomes: A Comparison of the United States and Canada","year":2007,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Sid W. Richardson Foundation; Smith Richardson Foundation","keywords":"Immigration; Educational attainment; Demographic economics; Political science; Labour economics; Economics; Economic growth","score_opus":0.06491200314665306,"score_gpt":0.36201889627969974,"score_spread":0.29710689313304667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530346585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97659606,0.0007597292,6.11726e-7,0.011909802,0.0001533892,0.00054998446,0.000873955,0.0000034041861,0.009153081],"genre_scores_gemma":[0.7925103,0.031310644,0.00027259672,0.0012904966,0.00029114165,0.0000497224,0.00041133244,0.0000609997,0.17380276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986242,0.00014191808,0.00041265067,0.0002716398,0.00028222305,0.00026734083],"domain_scores_gemma":[0.9984489,0.0008046641,0.00017452416,0.00017695306,0.00024230624,0.00015264595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015493736,0.00014807131,0.0002785048,0.00024637536,0.00034606137,0.00010145024,0.00016346495,0.00017150129,0.0003825538],"category_scores_gemma":[0.00012602178,0.0001295764,0.00001880263,0.00010265045,0.0005275805,0.00007307172,0.00009493291,0.00035792467,4.7554946e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000480418,0.000052108262,0.25407165,0.00018217925,0.0000910743,0.0000014320173,0.01401168,0.0003061745,0.0000027664562,0.7208614,0.00932918,0.0010423154],"study_design_scores_gemma":[0.00055015256,0.000048027552,0.118023306,0.00012075472,0.000015424635,9.26642e-7,0.008740687,0.012534969,0.000005956205,0.00795838,0.8516722,0.00032922873],"about_ca_topic_score_codex":0.43227762,"about_ca_topic_score_gemma":0.99733025,"teacher_disagreement_score":0.84234303,"about_ca_system_score_codex":0.0005871095,"about_ca_system_score_gemma":0.0014591281,"threshold_uncertainty_score":0.5715029},"labels":[],"label_agreement":null},{"id":"W1595132920","doi":"10.1108/s0147-9121(2010)0000030007","title":"Why are jobs designed the way they are?","year":2010,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Job design; Job analysis; Complementarity (molecular biology); Job rotation; Ex-ante; Human multitasking; Marketing; Business; Labour economics; Job performance; Economics; Job satisfaction; Management; Psychology","score_opus":0.08508939395407553,"score_gpt":0.293724952947554,"score_spread":0.2086355589934785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595132920","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022469736,0.00014200124,0.0000066931575,0.01584634,0.00097131135,0.0009739351,0.00002309732,0.000065742715,0.97972393],"genre_scores_gemma":[0.19836955,0.0018754618,0.00034226672,0.03743715,0.01826886,0.0005312528,0.0003091617,0.0007344365,0.7421319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979341,0.000027637492,0.0005566306,0.0005629791,0.00029846837,0.0006202029],"domain_scores_gemma":[0.99771935,0.00020226986,0.00046434745,0.0008936507,0.000697984,0.000022372347],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003183719,0.00034504363,0.00040449193,0.0011640318,0.0004070189,0.00091508584,0.0011040084,0.0003699738,0.0010622871],"category_scores_gemma":[0.00017249271,0.00028132953,0.00010914816,0.00022699145,0.00024927358,0.00038768662,0.00080147106,0.0015467209,0.0031366353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003587854,0.0000323103,0.00062830845,0.00015356709,0.000045460733,0.000018383118,0.000026957692,0.000007421897,0.0000070371225,0.9756706,0.02062866,0.0027454214],"study_design_scores_gemma":[0.0003028672,0.000005223316,0.0003878857,0.00014157491,0.000011204329,3.75978e-7,0.0001943955,0.0002560195,0.000008188251,0.17993009,0.8184784,0.00028376008],"about_ca_topic_score_codex":0.00020439716,"about_ca_topic_score_gemma":0.009980333,"teacher_disagreement_score":0.7978498,"about_ca_system_score_codex":0.00024548135,"about_ca_system_score_gemma":0.00007904563,"threshold_uncertainty_score":0.9999639},"labels":[],"label_agreement":null},{"id":"W2139369827","doi":"10.1016/s0147-9121(07)00009-x","title":"Impacts of the Point System and Immigration Policy Levers on Skill Characteristics of Canadian Immigrants","year":2007,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Fluency; Demographic economics; Point (geometry); Dimension (graph theory); Percentage point; Econometrics; Economics; Psychology; Geography; Statistics; Mathematics; Mathematics education","score_opus":0.05209273910675028,"score_gpt":0.33936068380306156,"score_spread":0.2872679446963113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139369827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75721323,0.00011511044,8.650521e-7,0.0035677382,0.00028763388,0.0009252771,0.0019402355,0.000009909318,0.23593998],"genre_scores_gemma":[0.9803246,0.0058909636,0.000019968626,0.00012795787,0.00020610921,0.0000041644444,0.00003275931,0.00003012128,0.013363308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828917,0.000150579,0.00055655674,0.00023906965,0.00031447786,0.00045017278],"domain_scores_gemma":[0.99838215,0.00028455112,0.0003361016,0.0003434515,0.00036417294,0.000289589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025496979,0.00015878334,0.00035719996,0.0017466012,0.00019874655,0.00005319505,0.00034908243,0.00040141284,0.00003845086],"category_scores_gemma":[0.0002822275,0.00014363973,0.00007333398,0.0003662358,0.0005513888,0.000092377195,0.000048205686,0.00048648444,0.000009387542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032219177,0.000010618165,0.0018296355,0.00010284005,0.000022063092,0.0000027444648,0.0065320847,0.000010769387,0.000008311649,0.9888519,0.00014154142,0.0024552648],"study_design_scores_gemma":[0.002613354,0.00075682084,0.19161563,0.005951459,0.00008907154,0.000011265548,0.050628897,0.0028812175,0.00043057228,0.026399305,0.71657383,0.0020485823],"about_ca_topic_score_codex":0.5721651,"about_ca_topic_score_gemma":0.9698249,"teacher_disagreement_score":0.9624526,"about_ca_system_score_codex":0.0016673817,"about_ca_system_score_gemma":0.0030999905,"threshold_uncertainty_score":0.5857458},"labels":[],"label_agreement":null},{"id":"W2161463918","doi":"10.1016/s0147-9121(04)23010-2","title":"EARNINGS DISPERSION, RISK AVERSION AND EDUCATION","year":2004,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Economics; Risk aversion (psychology); Counterfactual thinking; Dispersion (optics); Wage; Degree (music); Econometrics; Demographic economics; Labour economics; Financial economics; Expected utility hypothesis; Psychology; Social psychology","score_opus":0.042161075630577416,"score_gpt":0.2834177314579153,"score_spread":0.2412566558273379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161463918","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47233015,0.0049394825,0.00001610632,0.0015508054,0.0006836135,0.0006926575,0.0015440866,0.00003098878,0.51821214],"genre_scores_gemma":[0.660713,0.12861696,0.00072972727,0.00028421628,0.00061860215,0.000059442227,0.00037630298,0.0002287149,0.20837304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743885,0.000049164613,0.0009139367,0.0009910555,0.000073140276,0.0005338335],"domain_scores_gemma":[0.9981478,0.0002434339,0.00056477316,0.00065886235,0.0001463132,0.00023881908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033525585,0.00032210082,0.0006629441,0.0010553488,0.00021584316,0.00020119092,0.00039643794,0.0005630098,0.0008157162],"category_scores_gemma":[0.00025296063,0.00040702784,0.000118749944,0.00013339156,0.00027230746,0.00029058027,0.00033592345,0.0013791997,0.00058628735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003707345,0.00005488512,0.020990308,0.00010422377,0.000036290265,0.0000045241804,0.00016257266,0.000066929446,3.3367917e-7,0.9720196,0.00017864452,0.00634458],"study_design_scores_gemma":[0.00041783112,0.00006141207,0.0074171023,0.00014809222,0.000004294991,0.0000018130191,0.000038047663,0.00030073305,9.2445026e-7,0.7589714,0.23227704,0.00036134827],"about_ca_topic_score_codex":0.0017830459,"about_ca_topic_score_gemma":0.00033064463,"teacher_disagreement_score":0.30983907,"about_ca_system_score_codex":0.0014807765,"about_ca_system_score_gemma":0.00046555971,"threshold_uncertainty_score":0.9998382},"labels":[],"label_agreement":null},{"id":"W4252350345","doi":"10.1108/s0147-9121(2012)0000036003","title":"Editorial Advisory Board","year":2012,"lang":"en","type":"other","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publishing; Incentive; Wage; Promotion (chess); Economics; Political science; Labour economics; Politics; Law","score_opus":0.06650033087151609,"score_gpt":0.31651412092916387,"score_spread":0.2500137900576478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252350345","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038796382,0.0065825107,0.000018429926,0.000652436,0.07333108,0.0007266844,0.0035860792,0.00011206577,0.91111106],"genre_scores_gemma":[0.026127156,0.030421188,0.001204431,0.00030971743,0.2518682,0.00042739676,0.0004519513,0.0022112522,0.6869787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964189,0.0001592149,0.0010483442,0.00093872176,0.000108032764,0.0013268183],"domain_scores_gemma":[0.9976916,0.0002603603,0.00049469894,0.0011631385,0.00007005128,0.00032015602],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0052347956,0.00039546404,0.0010198955,0.0015918349,0.00007458829,0.00018701456,0.0009114465,0.0010647589,0.0048325756],"category_scores_gemma":[0.0002823268,0.00049969746,0.00017047749,0.0005460596,0.000230783,0.00021364653,0.000381934,0.0013953847,0.0038731897],"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":[0.00002890478,0.00014543532,0.011280925,0.00012303716,0.000063514846,0.0000033154329,0.00004917227,0.000006274462,3.607081e-7,0.5515694,0.4360028,0.00072687643],"study_design_scores_gemma":[0.0005998476,0.00003185668,0.0005786152,0.000060640075,0.0000023016348,4.0677065e-7,0.000021203477,0.00008228644,7.573923e-7,0.12465718,0.8734886,0.00047632147],"about_ca_topic_score_codex":0.004570346,"about_ca_topic_score_gemma":0.0016310071,"teacher_disagreement_score":0.43748578,"about_ca_system_score_codex":0.0008141019,"about_ca_system_score_gemma":0.00020740744,"threshold_uncertainty_score":0.9997455},"labels":[],"label_agreement":null},{"id":"W4301778347","doi":"10.1108/s0147-9121(2012)0000036015","title":"Research in Labor Economics","year":2012,"lang":"en","type":"other","venue":"Research in labor economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publishing; Economics; Incentive; Wage; Promotion (chess); Labour economics; Labor relations; Political science; Law; Politics","score_opus":0.1477978702495047,"score_gpt":0.3693008153439739,"score_spread":0.22150294509446922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301778347","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18464032,0.0130604515,0.0000070271412,0.0034683119,0.0018685253,0.0017898096,0.006353399,0.00009876031,0.7887134],"genre_scores_gemma":[0.45832467,0.12905125,0.0017592196,0.0006358889,0.004650525,0.001214359,0.0007858985,0.0030348238,0.40054333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99149215,0.0007405669,0.00229661,0.0020380411,0.00017292338,0.0032597359],"domain_scores_gemma":[0.9951422,0.0010853637,0.0006753453,0.0023283833,0.00018238182,0.0005863245],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.021626597,0.00069547805,0.0018791504,0.0068373727,0.00017022571,0.00047342063,0.0020935717,0.0016011895,0.004152316],"category_scores_gemma":[0.00042948246,0.00090450677,0.00022452034,0.002362486,0.0006751406,0.0004951996,0.0010468414,0.0036876097,0.0043634535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008598852,0.0005026504,0.07086905,0.00036807932,0.000101453705,0.000036972964,0.0002275962,0.00012348621,6.5077734e-7,0.91265255,0.012204793,0.0028267568],"study_design_scores_gemma":[0.0011838373,0.000068644855,0.0074650235,0.00021772446,0.0000023993564,0.0000026736552,0.00020498324,0.00090737006,0.0000035838107,0.23152086,0.7575969,0.0008259885],"about_ca_topic_score_codex":0.015302092,"about_ca_topic_score_gemma":0.02115342,"teacher_disagreement_score":0.74539214,"about_ca_system_score_codex":0.003224161,"about_ca_system_score_gemma":0.00070431986,"threshold_uncertainty_score":0.99969494},"labels":[],"label_agreement":null}]}