{"id":"W2275232582","doi":"","title":"Nommer, élire, tirer au sort, vendre au plus offrant? A propos du choix des juges","year":2010,"lang":"fr","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005645417,0.0006360151,0.0005633082,0.001541565,0.02633317,0.01771954,0.001731061,0.002918009,0.01381155],"category_scores_gemma":[0.01081422,0.0003938141,0.0003192794,0.001968586,0.02576494,0.009632874,0.004285556,0.005357558,0.002427438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04628929,"about_ca_system_score_gemma":0.05090781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6779881,"about_ca_topic_score_gemma":0.8040246,"domain_scores_codex":[0.9944014,0.002191358,0.00009405684,0.0006110335,0.001222597,0.001479628],"domain_scores_gemma":[0.9960687,0.0007362878,0.0002581519,0.0003389342,0.001391049,0.001206883],"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":[0.00003041256,0.00001475703,0.001685222,0.00007817488,0.00001000506,0.0003858427,0.1352165,0.00005222719,0.0003270185,0.7233465,0.1147451,0.02410811],"study_design_scores_gemma":[0.000007011391,0.000008722305,0.00176161,0.0002019038,0.0000110616,0.000121401,0.08631395,0.00007791749,0.0002592244,0.02471056,0.8864908,0.00003585078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03905644,0.01576956,0.006746671,0.3772041,0.005571396,0.00008012989,0.0002197504,0.0002184647,0.5551336],"genre_scores_gemma":[0.5724511,0.007268323,0.002632116,0.01863345,0.000868537,0.00005772749,0.00008341116,0.0002707422,0.3977346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3220119,"threshold_uncertainty_score":0.6478165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00632350719531747,"score_gpt":0.169314596062191,"score_spread":0.1629910888668736,"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."}}