{"id":"W3122956566","doi":"","title":"Distributional Outcomes in Canada During the 1990s","year":2001,"lang":"en","type":"article","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Demographic economics; Inequality; Distribution (mathematics); Position (finance); Economics; Geography; Accounting; Finance; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124432,0.0002394096,0.0004986402,0.002936264,0.0117694,0.004004686,0.001039176,0.0009930104,0.003303348],"category_scores_gemma":[0.00464137,0.0002295566,0.0004469127,0.009587775,0.002083828,0.001374125,0.002917003,0.002628166,0.0003075691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1212064,"about_ca_system_score_gemma":0.09905863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972222,"about_ca_topic_score_gemma":0.9987361,"domain_scores_codex":[0.9976043,0.00007460843,0.00005478245,0.0001152389,0.0008993983,0.001251655],"domain_scores_gemma":[0.9958839,0.0001046687,0.0003260961,0.00005604919,0.002640526,0.0009887544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006763313,0.0002948402,0.5298672,0.0003974001,0.0001727356,0.001985133,0.04186222,0.003443029,0.0007896526,0.08978216,0.1099225,0.2208068],"study_design_scores_gemma":[0.00002330203,0.0000454553,0.8406948,0.0002435686,0.00002842324,0.0002697434,0.02364518,0.0006136893,0.0003867693,0.002745111,0.1312145,0.0000896206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8530536,0.0127654,0.0004741989,0.03116709,0.0004386264,0.00008957059,0.01057381,0.00008451533,0.09135334],"genre_scores_gemma":[0.9782013,0.004826582,0.0003221899,0.001653008,0.00006914332,0.00002671546,0.002233869,0.00002218888,0.01264504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1212064,"threshold_uncertainty_score":0.8794183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283407080423972,"score_gpt":0.2888106942789933,"score_spread":0.2659766234747535,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}