{"id":"W1915536488","doi":"10.4000/books.editionsmsh.864","title":"L’accueil des immigrants dans les logements municipaux à Montréal","year":2004,"lang":"fr","type":"book-chapter","venue":"Éditions de la Maison des sciences de l’homme eBooks","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Political science; Humanities","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":[0.0005767849,0.0002815891,0.0001711051,0.001383417,0.004090258,0.001658843,0.0008038664,0.0006751537,0.005767991],"category_scores_gemma":[0.001826909,0.0002587634,0.0002158696,0.002140745,0.00218617,0.0005354336,0.000953068,0.0005814202,0.0003001081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01333691,"about_ca_system_score_gemma":0.01092709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.972845,"about_ca_topic_score_gemma":0.9880159,"domain_scores_codex":[0.999675,0.0000650718,0.00001082971,0.00004584096,0.00008787429,0.00011538],"domain_scores_gemma":[0.9993876,0.0001447274,0.0001226797,0.00002789868,0.0001828488,0.0001341881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001841437,0.00005954202,0.5140015,0.0003606249,0.00007806472,0.004892147,0.3645748,0.0003861744,0.003042725,0.009093663,0.01164283,0.09168375],"study_design_scores_gemma":[0.0000131353,0.0000960356,0.7844706,0.0001680399,0.00006013533,0.0009134853,0.1266006,0.0002602366,0.0007598466,0.0003019892,0.08628278,0.00007310631],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826593,0.002253781,0.0001888559,0.001933312,0.00004794381,0.00002429614,0.0005047251,0.00001492282,0.01237287],"genre_scores_gemma":[0.9728472,0.00205107,0.0002515624,0.0003111484,0.00001977194,0.00002056978,0.0001581854,0.00001076621,0.02432986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715498,"threshold_uncertainty_score":0.09676653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093907703744843,"score_gpt":0.3548480527049473,"score_spread":0.245457282330463,"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."}}