{"id":"W6945311701","doi":"10.25318/9810023501-eng","title":"Housing suitability with bedroom shortfall by tenure, with household size: Canada, provinces and territories, census metropolitan areas and census agglomerations","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; Bedroom; Metropolitan area; Urban agglomeration; 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":[0.0007974979,0.001693288,0.001500584,0.004574981,0.001572902,0.002792788,0.003624087,0.001200316,0.04727342],"category_scores_gemma":[0.006872426,0.001065946,0.00167976,0.01734395,0.0004349457,0.001538779,0.001656689,0.002201239,0.01723542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01438385,"about_ca_system_score_gemma":0.0269591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749796,"about_ca_topic_score_gemma":0.9830928,"domain_scores_codex":[0.9988421,0.00006015678,0.0001266407,0.0002134004,0.0004055569,0.0003521158],"domain_scores_gemma":[0.9942888,0.0003103505,0.000411616,0.0003107017,0.004120945,0.0005574433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003668285,0.00001541634,0.005383683,0.0003625759,0.00003958442,0.00001369861,0.00003934276,0.0003033395,0.00001402855,0.0003957781,0.9917614,0.001634337],"study_design_scores_gemma":[0.0004922608,0.00002693442,0.2150966,0.001277361,0.0001187382,0.00009442352,0.000847951,0.001359234,0.0002062264,0.0008461128,0.7795327,0.0001015536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000223811,0.00003926951,0.00002078131,0.00003726728,0.000009363682,0.00001092443,0.9991606,0.00002484014,0.000473151],"genre_scores_gemma":[0.002603393,0.0001217028,0.0002065998,0.00005496258,0.000007301396,0.0001267262,0.9949251,0.00003663309,0.001917486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04727342,"threshold_uncertainty_score":0.1581454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006414695721411269,"score_gpt":0.2280725832554811,"score_spread":0.2216578875340698,"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."}}