{"id":"W2115554265","doi":"10.7202/012176ar","title":"Inégalité salariale, mobilité salariale et commerce international au Québec et en Ontario","year":2006,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Humanities; Political science; Welfare economics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006212711,0.0001772631,0.0002095202,0.001783886,0.006435931,0.002311586,0.0005232991,0.0003576729,0.009195548],"category_scores_gemma":[0.002591244,0.0001298601,0.0001448541,0.004474534,0.003929843,0.0007681718,0.001085202,0.0006171989,0.0002288084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05971028,"about_ca_system_score_gemma":0.04115773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949771,"about_ca_topic_score_gemma":0.9982622,"domain_scores_codex":[0.9991865,0.00009631531,0.0000191224,0.00007521251,0.0002207699,0.0004020767],"domain_scores_gemma":[0.9979959,0.0003550543,0.0004271306,0.00006776181,0.00062647,0.0005277111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002411443,0.00009791183,0.6289828,0.000339748,0.00008100674,0.0006295495,0.1326044,0.001474107,0.001156242,0.1416744,0.01796142,0.07475723],"study_design_scores_gemma":[0.00001296305,0.00002382344,0.8783942,0.0001605529,0.00002431307,0.0000462007,0.04696993,0.0004130827,0.0001926135,0.001658757,0.07207239,0.00003109164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771641,0.002081295,0.0005127562,0.006864795,0.0000416167,0.00003462836,0.0008447663,0.00001664562,0.1124394],"genre_scores_gemma":[0.9779685,0.0009522956,0.0001754569,0.0001777032,0.000008951506,0.00001689281,0.0001723648,0.000006062966,0.02052173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05971028,"threshold_uncertainty_score":0.4332304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06192637272560896,"score_gpt":0.3528154305207847,"score_spread":0.2908890577951757,"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."}}