{"id":"W6944908670","doi":"10.25318/3910004801-fra","title":"Population ayant des besoins impérieux de logement selon certaines caractéristiques socioculturelles, la structure de famille économique et le genre","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Domain (mathematical analysis); Population structure","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003850525,0.0006116156,0.000579005,0.0001558711,0.0008122397,0.0001610699,0.0003367726,0.0006663754,0.0003534504],"category_scores_gemma":[0.0002569093,0.0006507779,0.00006087753,0.0002020386,0.0001165202,0.0001241442,0.00008889486,0.0005792545,0.000001725018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002815374,"about_ca_system_score_gemma":0.001480214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8078182,"about_ca_topic_score_gemma":0.9603045,"domain_scores_codex":[0.9968073,0.0008022551,0.0007710189,0.0006406702,0.0002565056,0.0007222407],"domain_scores_gemma":[0.9976564,0.0008093099,0.0006219294,0.0003976478,0.0002449449,0.0002697734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008686268,0.0002940184,0.005341882,0.001932263,0.0002864983,0.0001633635,0.0009383814,0.0001086964,0.00005237901,0.03689955,0.9279011,0.02599501],"study_design_scores_gemma":[0.001664494,0.0002430719,0.5563607,0.001261102,0.0009886778,0.00007091957,0.00489142,0.0005804506,0.0004205085,0.00839704,0.4238801,0.00124155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03728848,0.002147362,0.0018183,0.0007771527,0.0008857107,0.001042571,0.9554777,0.00003047362,0.0005322222],"genre_scores_gemma":[0.1546383,0.001587542,0.003655917,0.0004817688,0.0001616963,0.0001550575,0.8334209,0.00003863947,0.005860155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5510188,"threshold_uncertainty_score":0.9995943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282642728521204,"score_gpt":0.3396816235399081,"score_spread":0.326855196254696,"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."}}