{"id":"W6945484630","doi":"10.25318/9810032701-eng","title":"Housing suitability by visible minority and immigrant status and period of immigration: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Urban agglomeration; Immigration; Population; American Community Survey","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":[0.0008486854,0.001576229,0.001446147,0.004175513,0.001570336,0.00235598,0.00355092,0.001108649,0.03297894],"category_scores_gemma":[0.005783034,0.0009951233,0.001431666,0.01550803,0.0004245036,0.001154093,0.001502861,0.001885782,0.01236173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01667542,"about_ca_system_score_gemma":0.03262644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819543,"about_ca_topic_score_gemma":0.9863704,"domain_scores_codex":[0.9989647,0.00005176069,0.0001090649,0.000159762,0.0003637832,0.0003509256],"domain_scores_gemma":[0.9944437,0.0002448743,0.0003737263,0.0002680147,0.004056976,0.0006126454],"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":[0.00005731449,0.00002279474,0.009187525,0.0004444511,0.00006188185,0.00002254727,0.00006696124,0.0003824329,0.00002613821,0.0004962581,0.9872826,0.001949045],"study_design_scores_gemma":[0.000498598,0.00002906856,0.3036985,0.001310247,0.0001422931,0.0001118667,0.001060837,0.001506588,0.0003592637,0.000822351,0.6903484,0.0001120185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004158998,0.00004465623,0.00002228245,0.00003909518,0.000009867988,0.00001463136,0.9989649,0.00002407353,0.0004646692],"genre_scores_gemma":[0.00368964,0.0001330661,0.00021556,0.00006544127,0.000007129253,0.0001515512,0.9936185,0.00003229358,0.002086891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03297894,"threshold_uncertainty_score":0.1209892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004897241351216876,"score_gpt":0.2337934137967285,"score_spread":0.2288961724455117,"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."}}