{"id":"W3113177343","doi":"","title":"Can Wage Setting Process for Canadian Nurses Explain Regional Shortage in this Occupation","year":2019,"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":"","funders":"","keywords":"Wage; Economic shortage; Differential (mechanical device); Economics; Labour economics; Efficiency wage; Equity (law); Process (computing); Compensating differential; Human capital; Work (physics); Wage share; Economic growth; Political science","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":[0.001976335,0.0002314958,0.0004371366,0.001496313,0.00282714,0.001790828,0.001490428,0.0005133841,0.006953413],"category_scores_gemma":[0.009470345,0.000219958,0.0005029747,0.002857385,0.002046011,0.0009379413,0.001576661,0.0007017807,0.0004298544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02808029,"about_ca_system_score_gemma":0.02446956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9579208,"about_ca_topic_score_gemma":0.9610258,"domain_scores_codex":[0.998446,0.0001512057,0.00005205208,0.0002141103,0.000468525,0.0006682167],"domain_scores_gemma":[0.9972052,0.0005113364,0.0006225646,0.0003039397,0.0009617361,0.0003952856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002254963,0.0001871239,0.850047,0.0001991173,0.00006091254,0.0004147551,0.0227658,0.004354239,0.001513459,0.04819201,0.004859258,0.06718083],"study_design_scores_gemma":[0.00001428919,0.00001963616,0.9812128,0.00004392152,0.0000158097,0.00005448665,0.007911528,0.002504087,0.0001171051,0.004411781,0.003675789,0.00001888863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725738,0.0003519347,0.002116203,0.003189335,0.00002642641,0.00007819381,0.0006563873,0.00002137312,0.02098635],"genre_scores_gemma":[0.9980863,0.0001066111,0.0004017443,0.0001069743,0.000005868053,0.000009655251,0.0001567272,0.000005099045,0.00112104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9719197,"threshold_uncertainty_score":0.2037377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013520939851121,"score_gpt":0.4506292494729368,"score_spread":0.3492771554878248,"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."}}