{"id":"W2015152496","doi":"10.7202/050433ar","title":"Lawyers' Earnings in the Canadian Private and Public Sectors","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Business; Private sector; Accounting; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005038184,0.0002314564,0.0002637815,0.004157843,0.002142069,0.001966069,0.0009928514,0.0005988614,0.00543089],"category_scores_gemma":[0.004242371,0.0001919496,0.0003903822,0.006906601,0.0007938989,0.0006948807,0.0009063774,0.0008461109,0.0006025175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03500889,"about_ca_system_score_gemma":0.02239594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940812,"about_ca_topic_score_gemma":0.9977863,"domain_scores_codex":[0.9987948,0.00003088002,0.00004050625,0.00007899556,0.0004900467,0.0005647612],"domain_scores_gemma":[0.9964959,0.0002339623,0.0008618291,0.00005992135,0.001445077,0.0009033399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002828692,0.000126941,0.9309287,0.00007117115,0.00005051697,0.00027363,0.005413007,0.0009542639,0.0003172006,0.003753242,0.01582706,0.04200131],"study_design_scores_gemma":[0.00000509248,0.00001281288,0.9925969,0.00001396231,0.000007203675,0.00003230518,0.002525639,0.0003124454,0.00006647546,0.0000726897,0.004343336,0.00001109189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804897,0.0007820354,0.00005374807,0.0008088602,0.00001757804,0.00001342815,0.008104707,0.00002009834,0.009709851],"genre_scores_gemma":[0.98725,0.0005983677,0.00006861488,0.00004503462,0.00001166807,0.000004631475,0.004023311,0.000005715243,0.007992596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03500889,"threshold_uncertainty_score":0.2540085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04155843429139627,"score_gpt":0.2248050907028985,"score_spread":0.1832466564115022,"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."}}