{"id":"W4416926324","doi":"10.36939/cjur/vol31no1/art388","title":"Housing policies and Montreal’s neighbourhoods: Social mix or social exclusion?","year":2022,"lang":"","type":"article","venue":"Canadian journal of urban research","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Disadvantaged; Public housing; Neighbourhood (mathematics); Politics; Zoning; Social policy; Criticism; Public policy; Technocracy","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":[0.001293584,0.0002701699,0.0002864056,0.001459693,0.01068494,0.0052414,0.001332697,0.0007625703,0.004164175],"category_scores_gemma":[0.002737728,0.0001773153,0.0003339801,0.002135809,0.007616044,0.00144471,0.003841055,0.0008919953,0.000147746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0546836,"about_ca_system_score_gemma":0.04013923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.965858,"about_ca_topic_score_gemma":0.9886619,"domain_scores_codex":[0.9978908,0.0004701088,0.00003880115,0.0001496118,0.0005238504,0.0009268604],"domain_scores_gemma":[0.9980687,0.0001432387,0.0002757186,0.0000714868,0.0004004453,0.001040401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004277014,0.0004313349,0.4574687,0.0004651479,0.0002536447,0.001098425,0.1337104,0.002883045,0.00284062,0.2555223,0.03116262,0.1137362],"study_design_scores_gemma":[0.00004033511,0.0001196619,0.7723318,0.0002546698,0.00006489001,0.0001269003,0.08952863,0.0008347771,0.0004830978,0.00727908,0.128819,0.0001172016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783885,0.002627965,0.0007698819,0.02306313,0.0001360931,0.00009722029,0.0006766302,0.00004387678,0.09419666],"genre_scores_gemma":[0.9940717,0.0003789519,0.0002349237,0.0004495264,0.00002957782,0.00003004065,0.00008725633,0.000009098519,0.004708785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0546836,"threshold_uncertainty_score":0.3967592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008635641652361,"score_gpt":0.3698678069021892,"score_spread":0.2690042427369531,"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."}}