{"id":"W6986526734","doi":"","title":"Pourquoi et comment la médiation préventive du Ministère du travail\\naméliore-t-elle les relations du travail dans les entreprises québécoises?","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Industrial relations; Context (archaeology); Relations of production","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01777699,0.0007412459,0.0009019876,0.002180349,0.008349775,0.01419419,0.002108112,0.005326528,0.02216454],"category_scores_gemma":[0.03226286,0.0005811368,0.001298721,0.002730174,0.02057462,0.01590941,0.006866879,0.007985516,0.005113149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01054369,"about_ca_system_score_gemma":0.02218958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02396773,"about_ca_topic_score_gemma":0.03276845,"domain_scores_codex":[0.9797435,0.009962128,0.0006920787,0.003611262,0.004244247,0.001746765],"domain_scores_gemma":[0.9734764,0.009920211,0.004464046,0.002996247,0.006587577,0.002555596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001495998,0.0001991948,0.01651772,0.001224126,0.00008874318,0.0006410597,0.1386729,0.0004360869,0.00216678,0.7281253,0.03146606,0.08031241],"study_design_scores_gemma":[0.00005622207,0.0002916862,0.022745,0.00192426,0.000116657,0.001074465,0.187736,0.0009530678,0.002840624,0.2332753,0.548808,0.0001787376],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1300438,0.02455319,0.04126101,0.3449357,0.004358983,0.0004922824,0.0005351444,0.0003092389,0.4535107],"genre_scores_gemma":[0.7976063,0.01378325,0.02211415,0.01577883,0.001024294,0.0006016362,0.0004115174,0.0002738584,0.148406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9760323,"threshold_uncertainty_score":0.09401488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004559093680331611,"score_gpt":0.1552867996456463,"score_spread":0.1507277059653147,"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."}}