{"id":"W6889000953","doi":"10.25318/9810025501-eng","title":"Shelter-cost-to-income ratio by tenure including presence of mortgage payments and subsidized housing : Canada, provinces and territories, census divisions and census subdivisions","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; Residence; Payment; Subdivision; Housing tenure; Subsidy","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":[0.001119223,0.00189556,0.001950994,0.005555352,0.001672966,0.002922242,0.004309844,0.001392151,0.05566131],"category_scores_gemma":[0.008289136,0.001312828,0.00169965,0.02102698,0.000468055,0.001541925,0.001496393,0.002599459,0.01976646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02355894,"about_ca_system_score_gemma":0.04321382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829229,"about_ca_topic_score_gemma":0.985765,"domain_scores_codex":[0.9982048,0.00008726978,0.0001797366,0.0002787365,0.0007229474,0.0005265401],"domain_scores_gemma":[0.992029,0.0004251624,0.0005720133,0.0003082965,0.005985353,0.0006801557],"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":[0.00004101351,0.00001735562,0.00395794,0.0003814433,0.00004096699,0.00001438346,0.00002945088,0.000280953,0.00001375178,0.0005668959,0.9929633,0.001692571],"study_design_scores_gemma":[0.0005620511,0.00002610849,0.1413554,0.001280974,0.0001432885,0.0001020435,0.0005521863,0.001256326,0.0003091237,0.0008350376,0.85347,0.0001074784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001621626,0.00004714094,0.00002148242,0.00004887151,0.00001129542,0.00001291216,0.9991405,0.00002481712,0.0005308407],"genre_scores_gemma":[0.00215259,0.0002001973,0.0002662633,0.00008678567,0.00001113147,0.0001387268,0.9935975,0.00004735359,0.003499428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05566131,"threshold_uncertainty_score":0.1862056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208550798142716,"score_gpt":0.2846043516609913,"score_spread":0.2725188436795641,"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."}}