{"id":"W2788391669","doi":"10.7202/1050581ar","title":"Cinquante ans de développement de la fonction résidentielle dans le Vieux-Montréal et les anciens faubourgs : quelles leçons en tirer ?","year":2018,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001618143,0.0003230925,0.0002369276,0.0008016859,0.004171599,0.002190022,0.001018109,0.0005350336,0.00748296],"category_scores_gemma":[0.002300463,0.0001850533,0.0002578067,0.00115911,0.003524085,0.001285516,0.001308307,0.00106273,0.0003925689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02485914,"about_ca_system_score_gemma":0.02973743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9184604,"about_ca_topic_score_gemma":0.9673703,"domain_scores_codex":[0.9988147,0.0003611342,0.00001599697,0.0001289057,0.0001616376,0.0005176311],"domain_scores_gemma":[0.9984837,0.0001742012,0.0001986025,0.00006106035,0.0004962621,0.0005862028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002509122,0.0001950779,0.4481229,0.0004755498,0.0001269098,0.001289931,0.220797,0.0008451482,0.004418026,0.05914153,0.01361677,0.2507202],"study_design_scores_gemma":[0.000006455912,0.0001422878,0.8388915,0.0002603635,0.00003305551,0.0001664795,0.06763358,0.0001457816,0.0007666249,0.0009566736,0.09094019,0.00005693805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287219,0.01171964,0.0009598474,0.02360531,0.0001445848,0.00004659905,0.000485464,0.00003907363,0.03427755],"genre_scores_gemma":[0.9779844,0.002956674,0.000464643,0.0006111679,0.00002213496,0.00002304136,0.00009353302,0.00001207559,0.01783237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08153963,"threshold_uncertainty_score":0.1803665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708286467435512,"score_gpt":0.2836743407767701,"score_spread":0.266591476102415,"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."}}