{"id":"W2134001218","doi":"10.7202/019489ar","title":"Conditions de logement des ménages immigrants et dynamiques métropolitaines à Montréal : une analyse multiniveau exploratoire","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","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":[0.002487573,0.000662069,0.000812197,0.001775183,0.002124407,0.003166829,0.001296674,0.0005963263,0.005831514],"category_scores_gemma":[0.009349432,0.0004600186,0.001185095,0.004260666,0.00150231,0.001002091,0.001803909,0.0007247539,0.0003172873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01723824,"about_ca_system_score_gemma":0.01405685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9669858,"about_ca_topic_score_gemma":0.9673292,"domain_scores_codex":[0.998435,0.0005977317,0.00006743028,0.0002839295,0.0002999582,0.000315938],"domain_scores_gemma":[0.9937719,0.003299927,0.001110458,0.0003557187,0.001140371,0.0003216316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003389605,0.0001192896,0.9414634,0.0003441923,0.000966848,0.0004705691,0.01488915,0.007666782,0.00129591,0.00354813,0.001186061,0.02771069],"study_design_scores_gemma":[0.0000192754,0.0001465427,0.9702774,0.0001548378,0.0004528793,0.00004818627,0.01394104,0.005445067,0.0007434036,0.0004026458,0.008309565,0.00005920866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915053,0.001144155,0.001698815,0.0002855198,0.00001096137,0.0001165161,0.001872529,0.00003583371,0.003330346],"genre_scores_gemma":[0.9924378,0.0007327542,0.00139989,0.0000750648,0.000009932798,0.0001164494,0.0008846107,0.00001965157,0.004323774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03301418,"threshold_uncertainty_score":0.1250728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754150297501233,"score_gpt":0.2884325208445024,"score_spread":0.26089101786949,"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."}}