{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001417237,0.00008927365,0.0002312329,0.0001168788,0.000216024,0.000005605509,0.0003768476,0.00004249487,0.00007008488],"category_scores_gemma":[0.00007853707,0.00004089926,0.00005811358,0.00007737787,0.00005354029,0.0001542408,0.000201866,0.0001422092,0.0000033875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054434,"about_ca_system_score_gemma":0.0003331864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008702211,"about_ca_topic_score_gemma":0.0007138782,"domain_scores_codex":[0.9978065,0.000375024,0.001022881,0.00009761814,0.0005082606,0.0001896632],"domain_scores_gemma":[0.9971811,0.0004594449,0.001486181,0.0001132405,0.0007126325,0.00004736316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001186781,0.0001212382,0.9276556,0.0004638112,0.0003275075,0.000005724327,0.01012311,4.57803e-7,0.000200856,0.001616112,0.03969248,0.01860633],"study_design_scores_gemma":[0.002699218,0.0002114932,0.8387115,0.003242419,0.00001354057,0.000008883252,0.002256543,0.000002378501,0.00006221666,0.001894493,0.1508361,0.00006123086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787074,0.001580879,0.00000728399,0.2064624,0.002361333,0.0003576259,0.0001623046,0.00001032026,0.001983842],"genre_scores_gemma":[0.9915919,0.002443642,0.00009893884,0.003673191,0.0004807391,0.000007966805,0.000001033089,0.000009570987,0.001692989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2045179,"threshold_uncertainty_score":0.1667823,"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."}}