{"id":"W2081302645","doi":"10.7202/040274ar","title":"Repenser les relations entre gouvernement et secteur bénévole","year":2008,"lang":"fr","type":"article","venue":"Politique et Sociétés","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"University of Toronto; Queen's University; McGill University","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001424454,0.0001615606,0.0002006773,0.0009221951,0.005589406,0.002979368,0.0004585983,0.0009349978,0.009566088],"category_scores_gemma":[0.003195024,0.0001429145,0.0002152382,0.001512611,0.004840926,0.001064786,0.002304512,0.00163361,0.0004332974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01745097,"about_ca_system_score_gemma":0.01634421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6747403,"about_ca_topic_score_gemma":0.8991943,"domain_scores_codex":[0.9986446,0.000304629,0.00002230044,0.0001466488,0.0002819874,0.0005998025],"domain_scores_gemma":[0.9980558,0.0004856141,0.0003787863,0.00009726085,0.0004975452,0.000484951],"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":[0.0002658477,0.00006489011,0.1285631,0.0002514436,0.0000691259,0.001663148,0.2089462,0.0007724694,0.003376163,0.5488205,0.01462691,0.09258018],"study_design_scores_gemma":[0.00002330634,0.00007103151,0.4931174,0.0003879696,0.00003297134,0.000337966,0.07258468,0.0004003496,0.0005820455,0.01318644,0.4192207,0.00005520297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.691447,0.003108481,0.001511581,0.0134091,0.00013236,0.00005067995,0.0001857131,0.00003572165,0.2901193],"genre_scores_gemma":[0.924074,0.0007708503,0.0006897299,0.001042267,0.00003097404,0.00001902494,0.00007688295,0.00001758916,0.07327864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6747403,"threshold_uncertainty_score":0.6543505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09439145788657605,"score_gpt":0.4184229010579524,"score_spread":0.3240314431713763,"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."}}