{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"236dceee39c9","filters":{"venue":"Journal of Forensic Economics"}},"results":[{"id":"W2028105122","doi":"10.5085/0898-5510-18.2.125","title":"The Impact of Family Background on Educational Attainment in Canada","year":2005,"lang":"en","type":"article","venue":"Journal of Forensic Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Educational attainment; Demographic economics; Demography; Geography; Psychology; Medicine; Sociology; Economics; Economic growth","authors":[{"name":"Christopher J. Bruce","is_ca":false},{"name":"Carmen Anderson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05841536978521554,"gpt":0.3528337037134636,"spread":0.294418333928248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005444553,0.00004799408,0.0001112672,0.00003561993,0.0001433634,0.00001796291,0.0001229521,0.00001442529,0.00004904079],"category_scores_gemma":[0.00008703626,0.00003268047,0.00007855472,0.00004037592,0.0000730212,0.00009864808,0.000007932098,0.00007262195,0.000002780155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480925,"about_ca_system_score_gemma":0.004924349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4354199,"about_ca_topic_score_gemma":0.9234697,"domain_scores_codex":[0.9992781,0.00004310512,0.0003990784,0.00004144159,0.0001240679,0.0001141831],"domain_scores_gemma":[0.9990516,0.0004040356,0.0002787621,0.00004464595,0.0001756392,0.00004536831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001872009,0.0002739576,0.1093555,0.000004374243,0.0003114738,7.261414e-7,0.007730908,0.086495,0.00002828871,0.5819053,0.1985405,0.01516675],"study_design_scores_gemma":[0.0004701105,0.0001970539,0.8821161,0.00004446672,0.00001273544,0.000005770348,0.02585002,0.0005033466,0.0001293755,0.03817452,0.05231432,0.0001821975],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693881,0.0001723671,0.000001323634,0.02519901,0.0005995698,0.00003352886,0.00000797745,2.487241e-7,0.004597872],"genre_scores_gemma":[0.9979959,0.0002980932,0.0001591106,0.0003157036,0.0008785293,0.000001354615,0.000001249624,0.000002215933,0.0003478608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7727605,"threshold_uncertainty_score":0.8735584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2255301193","doi":"10.1667/0033-7587-17.2.147","title":"Personal Consumption Rates for Canada: Differentiated By Family Size and Income Level Using Survey of Household Spending (SHS) 2000 Data","year":2004,"lang":"en","type":"article","venue":"Journal of Forensic Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Spouse; Personal consumption expenditures price index; Damages; Consumption (sociology); Personal injury; Demographic economics; Personal income; Wrongful death; Position (finance); Economics; Business; Family income; Consumer spending; Actuarial science; Labour economics; Law; Economic growth; Sociology; Political science; Finance","authors":[{"name":"Cara L. Brown","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2008922247882349,"gpt":0.3534178234091347,"spread":0.1525255986208998,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079189,0.00008889706,0.0003818354,0.00004035136,0.0002153907,0.00005513184,0.0001914343,0.0000659357,0.00001279752],"category_scores_gemma":[0.0002993001,0.00008594114,0.00004598533,0.00003889624,0.0001377206,0.0003225113,0.00003988178,0.0001015544,8.377394e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005215342,"about_ca_system_score_gemma":0.002413878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6360146,"about_ca_topic_score_gemma":0.8331118,"domain_scores_codex":[0.9989607,0.00005999744,0.0005103642,0.0001136307,0.0001049034,0.0002503962],"domain_scores_gemma":[0.9985548,0.0005919047,0.0005182626,0.00008750892,0.00009226194,0.0001552199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000174522,0.0000478501,0.99281,0.0001739951,0.0004888115,0.000003536532,0.001134331,0.0003076096,0.0000753048,0.001402916,0.002560666,0.0008205231],"study_design_scores_gemma":[0.001223894,0.00003767956,0.9956632,0.00007501445,0.0001444178,0.00001024049,0.001229844,0.0005120644,0.00008634313,0.0003412544,0.0005296767,0.0001464041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961309,0.0007915664,0.0001665191,0.0005841795,0.0005025851,0.0001116672,0.001699093,0.000002200287,0.00001128717],"genre_scores_gemma":[0.9978276,0.0007019467,0.001055218,0.0002650933,0.00009105162,2.501673e-7,0.00002473928,0.00001019145,0.00002391928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1970972,"threshold_uncertainty_score":0.4282115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792436328","doi":"10.5085/jfe432.1","title":"Assessing Economic Damages in Personal Injury and Wrongful Death Litigation: The State of Iowa","year":2018,"lang":"en","type":"article","venue":"Journal of Forensic Economics","topic":"Law, Economics, and Judicial Systems","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":"Kimberly-Clark (Canada)","funders":"","keywords":"Damages; Wrongful death; Personal injury; Jury; Statute; Law; Common law; State (computer science); Plaintiff; Forensic engineering; Political science; Engineering; Computer science","authors":[{"name":"David I. Rosenbaum","is_ca":false},{"name":"Kimberly P. Knoshaug","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03258037504749762,"gpt":0.2500861851020027,"spread":0.2175058100545051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771096,0.0001628097,0.0007681591,0.000311999,0.0001111089,0.0002033516,0.0002821923,0.00009570369,0.00007967146],"category_scores_gemma":[0.00006750731,0.0001785979,0.0001720739,0.00006472169,0.0005092723,0.0009924403,0.00007312574,0.0002188246,0.00003730532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379659,"about_ca_system_score_gemma":0.0001464343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004311909,"about_ca_topic_score_gemma":0.0006408586,"domain_scores_codex":[0.9976113,0.00003476356,0.001789949,0.0002593146,0.00002355563,0.0002811098],"domain_scores_gemma":[0.9973953,0.0001436203,0.002059493,0.000226114,0.00007004303,0.0001053758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002654862,0.0001317537,0.6702521,0.000110931,0.0005081043,0.000009882905,0.008662899,0.0009309473,0.00005970415,0.280614,0.001518238,0.03693596],"study_design_scores_gemma":[0.002583839,0.00084282,0.338878,0.0002123595,0.00004270301,0.000177042,0.001960721,0.01816042,0.00129834,0.624494,0.01060804,0.0007416961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896401,0.0009401476,0.0001757826,0.0007169499,0.001376967,0.0001343032,0.00008732078,0.000004404883,0.006924049],"genre_scores_gemma":[0.9974688,0.0007991689,0.0005228604,0.0001961774,0.0009115791,0.000002279657,0.000002394888,0.00002725467,0.00006945717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3438801,"threshold_uncertainty_score":0.7283012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169894104","doi":"10.5085/0898-5510-23.2.135","title":"Personal Consumption Rates for Canada: Update of 2000 PCRs Using 2007–08 Surveys of Household Spending Data","year":2012,"lang":"en","type":"article","venue":"Journal of Forensic Economics","topic":"Health disparities and outcomes","field":"Social Sciences","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":"Consumer Expenditure Survey; Consumption (sociology); Personal consumption expenditures price index; Survey data collection; Economics; Sample (material); Personal income; Consumer spending; Survey sampling; Household income; Demographic economics; Geography; Statistics; Public economics; Environmental health; Medicine; Economic growth; Sociology","authors":[{"name":"Cara L. Brown","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1808961075664152,"gpt":0.3653762458932359,"spread":0.1844801383268207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003651255,0.00007667908,0.0003596578,0.00006622735,0.0001418799,0.00001891036,0.0002404146,0.00006016099,0.0001222247],"category_scores_gemma":[0.0002252864,0.00007457897,0.00007474024,0.0000375082,0.0001406323,0.0005760539,0.00003578809,0.00009137652,4.382275e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004238928,"about_ca_system_score_gemma":0.001831047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.150721,"about_ca_topic_score_gemma":0.3792826,"domain_scores_codex":[0.998708,0.0001110661,0.000647559,0.00007440082,0.0001219646,0.0003370494],"domain_scores_gemma":[0.9983194,0.0003875803,0.0008942074,0.0001176093,0.0001006435,0.0001805389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000475036,0.00003182021,0.9830629,0.0001447554,0.00009794204,8.528067e-7,0.001132348,0.0002552921,0.00001262675,0.004849192,0.008240648,0.0021241],"study_design_scores_gemma":[0.002531313,0.000114214,0.8833987,0.0004341624,0.00033454,0.00005557667,0.01404034,0.003858919,0.001874695,0.0009375557,0.09182153,0.0005984835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959735,0.0008282774,0.0002877698,0.0004656586,0.001739995,0.0001003645,0.0004846998,0.000001559089,0.0001181845],"genre_scores_gemma":[0.9955161,0.00103454,0.002580677,0.0001880252,0.000618495,2.293045e-7,0.00001440217,0.00001044858,0.00003714918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2285616,"threshold_uncertainty_score":0.8549344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}