{"id":"W2544224555","doi":"10.1177/0020731416676233","title":"Employment and Labor Market Results of the SOPHIE Project","year":2016,"lang":"en","type":"article","venue":"International Journal of Health Services","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prosperity; Equity (law); Inequality; Work (physics); Population; Business; Social security; Labour economics; Economics; Economic growth; Demographic economics; Political science; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007304887,0.0005310048,0.0006863526,0.003790888,0.00132963,0.001879886,0.0006538748,0.0008041082,0.009256942],"category_scores_gemma":[0.01206426,0.0002918911,0.001144996,0.002332809,0.0006469049,0.0007962498,0.003527672,0.0007702683,0.002468082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002295903,"about_ca_system_score_gemma":0.003019947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.112045,"about_ca_topic_score_gemma":0.1079543,"domain_scores_codex":[0.9958085,0.001678198,0.0002940864,0.0004933889,0.0007804431,0.0009454897],"domain_scores_gemma":[0.9919085,0.001706654,0.00177028,0.000704973,0.002750758,0.001158883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001615477,0.0006883251,0.8772699,0.0004107275,0.0004716315,0.0005415478,0.004444811,0.001129905,0.0002351195,0.004595615,0.05596409,0.05263292],"study_design_scores_gemma":[0.00003700701,0.0002550906,0.9651394,0.0001608026,0.00006878692,0.0001114001,0.001630131,0.0001688308,0.000167051,0.0002371062,0.03199635,0.00002802711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597795,0.00246501,0.001190788,0.00211633,0.0002958091,0.0004076581,0.07224216,0.0001201472,0.06138264],"genre_scores_gemma":[0.8870208,0.001783342,0.002635505,0.0009704211,0.000357133,0.0009551333,0.06584377,0.0001767642,0.04025707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.112045,"threshold_uncertainty_score":0.2227857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078520903158411,"score_gpt":0.4211703486555841,"score_spread":0.3803851396239999,"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."}}