{"id":"W4250119953","doi":"10.2307/j.ctv1n35c8q.13","title":"AMORCER LA DÉMARCHE D’ÉQUITÉ SALARIALE ENTRE LES HOMMES ET LES FEMMES DANS LE RÉGIME QUÉBÉCOIS","year":2017,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Psychology","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":[0.001561905,0.0004078351,0.0003311773,0.0008582473,0.01612481,0.004238527,0.0008375687,0.001601711,0.01251669],"category_scores_gemma":[0.001725873,0.0002430453,0.0002417483,0.001553753,0.006865111,0.001692507,0.001620358,0.003976522,0.0004242654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06867622,"about_ca_system_score_gemma":0.06142854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740881,"about_ca_topic_score_gemma":0.9892668,"domain_scores_codex":[0.9988595,0.0002344918,0.00001405541,0.00009541913,0.0002387631,0.0005577857],"domain_scores_gemma":[0.9994181,0.0001469098,0.0000337502,0.00002686974,0.0001964458,0.0001779329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001055546,0.00006552476,0.007490064,0.0001285944,0.00002664041,0.0003920525,0.1062555,0.0005252908,0.0005935206,0.6699165,0.1021835,0.1123174],"study_design_scores_gemma":[0.00001888576,0.00003327702,0.03279251,0.000391047,0.00001446343,0.0001294915,0.05318462,0.0002866245,0.000305861,0.01336083,0.8994494,0.00003292834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2224298,0.03707844,0.00158534,0.08084075,0.001605952,0.00006187185,0.0003608218,0.00003479419,0.6560023],"genre_scores_gemma":[0.5265866,0.007080099,0.0007672379,0.003772649,0.0001841045,0.00005600504,0.00009419506,0.00003760072,0.4614215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06867622,"threshold_uncertainty_score":0.4982831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06952928378798069,"score_gpt":0.2882827222160596,"score_spread":0.2187534384280789,"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."}}