{"id":"W4224929163","doi":"10.2174/18749445-v15-e2202080","title":"Examining Housing as a Determinant of Health: Closing the ‘Poverty Gap’ to Improve Outcomes for Women in Affordable Housing","year":2022,"lang":"en","type":"article","venue":"The Open Public Health Journal","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; BP (Canada); University of Calgary","funders":"","keywords":"Affordable housing; Poverty; Health insurance; Demographic economics; Business; Economic growth; Closing (real estate); Subsidized housing; Public housing; Socioeconomics; Environmental health; Political science; Medicine; Economics; Health care; Finance","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":[0.002843429,0.0002472661,0.0003178589,0.0006827309,0.003045293,0.00162628,0.0008548977,0.0004717049,0.003143652],"category_scores_gemma":[0.005309485,0.0001730375,0.0004648491,0.0008775352,0.001448771,0.00122821,0.002820659,0.001222338,0.000137513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005831133,"about_ca_system_score_gemma":0.02264307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2931949,"about_ca_topic_score_gemma":0.5581918,"domain_scores_codex":[0.9987992,0.0003399317,0.00002276816,0.00003519528,0.0001328701,0.0006700061],"domain_scores_gemma":[0.998604,0.0002375492,0.0002528486,0.00002161225,0.0002350425,0.0006490202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001241555,0.0005778607,0.7745197,0.0006795863,0.0000863754,0.0003271755,0.07331792,0.0001430362,0.00028405,0.003158893,0.01170438,0.1350768],"study_design_scores_gemma":[0.00002005941,0.000307321,0.8016055,0.001575833,0.0000883114,0.00008625614,0.183683,0.0003160247,0.0002233204,0.001387025,0.01068472,0.00002255918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717063,0.003135653,0.0003900556,0.01602046,0.000130442,0.000168121,0.0002901842,0.000009126318,0.00814973],"genre_scores_gemma":[0.9967743,0.001116665,0.0005238258,0.0008078957,0.00002222524,0.00008837214,0.00007391208,0.000002958375,0.0005899766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2931949,"threshold_uncertainty_score":0.5829766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2516283422579874,"score_gpt":0.4793003599139055,"score_spread":0.2276720176559182,"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."}}