{"id":"W4401809800","doi":"10.55016/ojs/sppp.v13i1.71438","title":"Social Policy Trends: Income Distribution Trends Among Men and Women in Canada","year":2020,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Demographic economics; Income distribution; Social policy; Geography; Socioeconomics; Economics; Inequality","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":[0.0007135015,0.0001772261,0.0002742211,0.002918743,0.003023517,0.001561416,0.001134702,0.0004950735,0.005605173],"category_scores_gemma":[0.003040061,0.0001978391,0.0003909169,0.007362978,0.000965203,0.0008146569,0.001159241,0.0008821381,0.0004091727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04252107,"about_ca_system_score_gemma":0.05375389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973651,"about_ca_topic_score_gemma":0.9985918,"domain_scores_codex":[0.9988443,0.00005236471,0.00005869483,0.0001012918,0.0003996237,0.0005437822],"domain_scores_gemma":[0.9970553,0.0001385375,0.0004558308,0.00004668434,0.00153971,0.0007639727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001329123,0.00004797307,0.9567866,0.00008959079,0.00004831185,0.00009529627,0.003338677,0.000266492,0.0001625174,0.002296823,0.01130171,0.02543307],"study_design_scores_gemma":[0.000003059819,0.000008229861,0.9921227,0.00003543323,0.000007151032,0.00001974384,0.003140923,0.000188133,0.00004016684,0.00007132013,0.004355702,0.000007458268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630435,0.002638691,0.0001081505,0.006184291,0.00004844832,0.00002908817,0.0143328,0.00003321245,0.01358189],"genre_scores_gemma":[0.987368,0.001726989,0.0001321579,0.0002866243,0.00001897502,0.00001331665,0.003453133,0.00001154818,0.006989212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04252107,"threshold_uncertainty_score":0.3085134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802503512312177,"score_gpt":0.3291556188517319,"score_spread":0.2911305837286101,"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."}}