{"id":"W3122651375","doi":"","title":"Impact of Individual and Institutional Factors on Wage Rate for Nurses in Canada: Is There a Monopsony Market?","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec en Outaouais","funders":"","keywords":"Monopsony; Microdata (statistics); Wage; Labour economics; Economics; Economic shortage; Efficiency wage; Incentive; Demographic economics; Microeconomics; Medicine; Population","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":[0.001195087,0.0001734293,0.0004679516,0.001096657,0.002672396,0.001502381,0.001480517,0.0004318554,0.005932787],"category_scores_gemma":[0.005727685,0.0002225761,0.0004475466,0.00279281,0.0009417753,0.0005682015,0.001196211,0.0009842714,0.0003659384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02808079,"about_ca_system_score_gemma":0.04663081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874517,"about_ca_topic_score_gemma":0.9938929,"domain_scores_codex":[0.998282,0.000123869,0.00006561142,0.0001765127,0.0006376497,0.0007145221],"domain_scores_gemma":[0.9955128,0.0004835401,0.001048351,0.0001151775,0.001269338,0.00157072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001078288,0.00006435321,0.9677327,0.000107314,0.00006073029,0.0002100936,0.003409763,0.0002682233,0.0001522336,0.001420268,0.003664395,0.02280204],"study_design_scores_gemma":[0.000002753475,0.00001218004,0.9946432,0.00004747093,0.000009035326,0.00001940619,0.003449364,0.0002541296,0.00002611221,0.00008957812,0.001438894,0.000007884171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839336,0.001512358,0.0001809586,0.004174495,0.00003523434,0.0000248157,0.001702233,0.00001176974,0.008424473],"genre_scores_gemma":[0.9971817,0.0005077583,0.00009486522,0.0001707887,0.000011055,0.000006361613,0.0004577311,0.00000741131,0.00156237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02808079,"threshold_uncertainty_score":0.2037414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054533599402643,"score_gpt":0.4388645667084988,"score_spread":0.3334112067682345,"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."}}