{"id":"W4399161364","doi":"10.1515/9782763729657-006","title":"De la compensation à l’obligation de résultats au Québec","year":2016,"lang":"fr","type":"book-chapter","venue":"","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":[0.004191212,0.0006357218,0.0005316868,0.001197185,0.007560958,0.007347833,0.00141564,0.006162744,0.01556352],"category_scores_gemma":[0.008491737,0.0004641998,0.0006573052,0.001398883,0.005379289,0.001986598,0.001668495,0.005589013,0.001307413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04627024,"about_ca_system_score_gemma":0.05949527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9253262,"about_ca_topic_score_gemma":0.9348167,"domain_scores_codex":[0.9935375,0.00140736,0.000208748,0.0006560486,0.002536575,0.001653782],"domain_scores_gemma":[0.9978738,0.0005298512,0.0001183106,0.000239871,0.001034174,0.0002038806],"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":[0.00004490271,0.00003622221,0.002233271,0.00006607072,0.00003341784,0.0003163131,0.002653808,0.001040215,0.0003652203,0.8605497,0.08549929,0.0471615],"study_design_scores_gemma":[0.00003823943,0.00003310063,0.00999642,0.0004994302,0.00003126735,0.000352957,0.001668639,0.002040898,0.0004513872,0.045243,0.9395708,0.00007382107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03366745,0.01721981,0.007905498,0.06144335,0.002462285,0.00009686443,0.0003147757,0.0001126445,0.8767773],"genre_scores_gemma":[0.3745623,0.00473361,0.003203995,0.005771986,0.0005434354,0.0000761178,0.0001308578,0.00006737609,0.6109104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07467383,"threshold_uncertainty_score":0.3357157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272272715118465,"score_gpt":0.3092237857669571,"score_spread":0.2765010586157725,"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."}}