{"id":"W2218611868","doi":"10.2139/ssrn.1311386","title":"Estimating the Determinants of Hours of Work in Quebec and Ontario","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Work (physics); Demographic economics; Geography; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001511147,0.0005585002,0.0006535278,0.00126572,0.00268139,0.002228064,0.002293227,0.0009630935,0.003810923],"category_scores_gemma":[0.005865197,0.0004348066,0.0009595352,0.003398116,0.0008592391,0.0007217082,0.001260367,0.001043752,0.0003623152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05449125,"about_ca_system_score_gemma":0.04594693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999162,"about_ca_topic_score_gemma":0.999545,"domain_scores_codex":[0.998831,0.0002560003,0.00005350692,0.0001616228,0.0002020409,0.0004958556],"domain_scores_gemma":[0.9946927,0.001319824,0.0006493625,0.0001960567,0.001933006,0.001208968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764951,0.00008868193,0.9785623,0.00003759881,0.0001922436,0.0001171608,0.001076523,0.008692322,0.0001768486,0.001062602,0.00427578,0.005541402],"study_design_scores_gemma":[0.00002832589,0.00002317812,0.9793766,0.00004346959,0.00004473644,0.0000143049,0.003068711,0.01424191,0.00006710663,0.000131204,0.002937094,0.00002337707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893414,0.0005234753,0.000489367,0.000832358,0.0000174988,0.00006631009,0.005581336,0.00002496389,0.003123405],"genre_scores_gemma":[0.9906287,0.0002845186,0.0004934896,0.0001084681,0.000009764171,0.00005056601,0.003366703,0.00001412652,0.005043652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05449125,"threshold_uncertainty_score":0.3953636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033878911794445,"score_gpt":0.3488820917044776,"score_spread":0.3150031799100326,"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."}}