{"id":"W6982242587","doi":"","title":"Housing & Income as Social Determinants of Women’s Health in Canadian Cities","year":2009,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Latin American and Latino Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Social determinants of health; Poverty; Context (archaeology); Population health; Metropolitan area; Population; Census; Health equity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001153583,0.0003102947,0.0004534992,0.00282525,0.006814499,0.002532821,0.001143778,0.0003690907,0.00422776],"category_scores_gemma":[0.003257426,0.0002872301,0.0005377144,0.007199443,0.001496479,0.0006308402,0.001725086,0.0007024123,0.0001269928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07411951,"about_ca_system_score_gemma":0.07145754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985179,"about_ca_topic_score_gemma":0.9994193,"domain_scores_codex":[0.9987879,0.0001309722,0.0000300002,0.00008674011,0.0002964375,0.0006678493],"domain_scores_gemma":[0.9980137,0.0001727104,0.0002023312,0.00005011096,0.0008609763,0.0007000796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001356816,0.00007251948,0.9109161,0.0001750798,0.0001053361,0.0003289764,0.01756077,0.0009264876,0.0002102888,0.01058161,0.01711123,0.04187587],"study_design_scores_gemma":[0.000009877017,0.00001295244,0.9712995,0.0001502067,0.0000449145,0.00003663812,0.01564803,0.0004313616,0.00006867938,0.0004218595,0.01184916,0.00002683211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273277,0.006565589,0.0002215896,0.01031776,0.00009172146,0.00007318825,0.004314897,0.00002535245,0.05106222],"genre_scores_gemma":[0.9939977,0.002030657,0.0001588028,0.0002326993,0.00001494898,0.00001826442,0.000608222,0.0000082856,0.00293048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07411951,"threshold_uncertainty_score":0.5377772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234235442185023,"score_gpt":0.3062289038072828,"score_spread":0.2838865493854326,"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."}}