{"id":"W7001937091","doi":"","title":"L'influence des caractéristiques socio-démographiques et civiques sur l'efficacité de la collecte sélective à Montréal","year":2002,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Work (physics); Perspective (graphical); Field (mathematics)","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":[0.001967432,0.0004352062,0.0003426108,0.002092145,0.004056246,0.00214536,0.001634019,0.0004040749,0.01945264],"category_scores_gemma":[0.007859599,0.0003393699,0.0003724072,0.003099149,0.00134312,0.0007658175,0.001675204,0.0005593101,0.0005882972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02240785,"about_ca_system_score_gemma":0.03285565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9827399,"about_ca_topic_score_gemma":0.9917351,"domain_scores_codex":[0.9985567,0.0003686812,0.0000363716,0.0001589234,0.0003893723,0.0004899721],"domain_scores_gemma":[0.9945338,0.001356347,0.0005842604,0.0003573378,0.00190591,0.001262347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001133161,0.0003276261,0.5346015,0.0006651925,0.0005476188,0.0005425639,0.01771078,0.005903193,0.003531425,0.07015087,0.07312116,0.2917649],"study_design_scores_gemma":[0.00005561575,0.0001160119,0.9471139,0.0001081149,0.0001079631,0.0000707677,0.004070585,0.0008172339,0.001297617,0.0005520729,0.04564393,0.00004618065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251657,0.003839321,0.001630212,0.007467287,0.00006944696,0.0002423521,0.009997291,0.0002378573,0.1513505],"genre_scores_gemma":[0.9435818,0.001227728,0.001033696,0.0002149665,0.00001929607,0.00009681843,0.001055952,0.00006105633,0.05270873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02240785,"threshold_uncertainty_score":0.1625811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005928147084109444,"score_gpt":0.1901042346544141,"score_spread":0.1841760875703047,"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."}}