{"id":"W2766649928","doi":"10.71781/19818","title":"La prévision des résultats électoraux : application au cas canadien","year":2017,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.008335088,0.0006229541,0.001344791,0.00261989,0.001264822,0.002751382,0.001359047,0.001299911,0.0162535],"category_scores_gemma":[0.04109734,0.0006200065,0.001490155,0.005355279,0.001146327,0.001522594,0.001918174,0.0024526,0.001058024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003399858,"about_ca_system_score_gemma":0.003293009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1257634,"about_ca_topic_score_gemma":0.1067421,"domain_scores_codex":[0.9960736,0.002167235,0.0001267173,0.0005385965,0.0008055183,0.0002883218],"domain_scores_gemma":[0.9788664,0.01849112,0.0007539903,0.0006127409,0.001127134,0.0001487239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006642616,0.0004046884,0.09517125,0.0009652058,0.0008502098,0.001207136,0.00656676,0.2459293,0.001023907,0.2845094,0.005572434,0.3571354],"study_design_scores_gemma":[0.0002292199,0.0007680231,0.05869305,0.0004807491,0.0006076646,0.0004663734,0.00596416,0.7697527,0.003148439,0.08185566,0.07778876,0.0002452349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6367732,0.00605162,0.2798582,0.004174419,0.0003641493,0.000444268,0.001553713,0.0006999826,0.07008045],"genre_scores_gemma":[0.9016541,0.002182456,0.06515996,0.000181403,0.0001044043,0.0001998267,0.0004349206,0.0001228317,0.0299602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8742366,"threshold_uncertainty_score":0.2500626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661227176411884,"score_gpt":0.3146377578051534,"score_spread":0.2880254860410345,"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."}}