{"id":"W4401905705","doi":"10.7202/1112818ar","title":"La participation : degrés et diversions","year":2024,"lang":"fr","type":"article","venue":"Lien social et Politiques","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008950711,0.00130575,0.001231832,0.003663402,0.004251285,0.01332841,0.0009093609,0.00297386,0.01895607],"category_scores_gemma":[0.01646137,0.0004934098,0.001035768,0.006949499,0.005770548,0.007192841,0.005960359,0.005891599,0.003665472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00554166,"about_ca_system_score_gemma":0.003209288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410036,"about_ca_topic_score_gemma":0.0111159,"domain_scores_codex":[0.9845367,0.007155122,0.0006055436,0.001855439,0.003729575,0.002117672],"domain_scores_gemma":[0.9866556,0.005599422,0.001999028,0.001232264,0.002194537,0.002319103],"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":[0.0007476513,0.0005276749,0.0611163,0.0006122921,0.0002611859,0.000724965,0.03686592,0.002970628,0.00309433,0.4882903,0.01846043,0.3863284],"study_design_scores_gemma":[0.0001618533,0.0005412734,0.1718222,0.001372992,0.0000972699,0.002870624,0.04602877,0.002549013,0.002145109,0.07200025,0.7002235,0.0001871366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4883949,0.02455919,0.01971944,0.03049797,0.001720216,0.0001711972,0.002194909,0.0006358898,0.4321063],"genre_scores_gemma":[0.9297377,0.006932208,0.003173495,0.0005642089,0.001451046,0.000189821,0.0005012017,0.0001551247,0.05729515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01895607,"threshold_uncertainty_score":0.06341434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07842759874345095,"score_gpt":0.4354334711712853,"score_spread":0.3570058724278343,"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."}}