{"id":"W1545533977","doi":"10.1007/bf03403700","title":"Homelessness and Health in Canada: Research Lessons and Priorities","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":286,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"National Institute on Minority Health and Health Disparities; Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Michael Smith Health Research BC","keywords":"Scope (computer science); Psychological intervention; Equity (law); Health equity; Stakeholder; Political science; Public relations; Community engagement; Economic growth; Health care; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01097288,0.0001305629,0.0008072669,0.0007780655,0.001436602,0.0000614715,0.0002192916,0.0001155534,0.00009471169],"category_scores_gemma":[0.0004370172,0.0001232769,0.00002024619,0.0005409426,0.0001816868,0.0003144239,0.00003751458,0.001465657,0.00000242337],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007009652,"about_ca_system_score_gemma":0.1689378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967505,"about_ca_topic_score_gemma":0.9999812,"domain_scores_codex":[0.9951934,0.001554839,0.0009783928,0.0001868609,0.000358021,0.001728518],"domain_scores_gemma":[0.995012,0.0004263299,0.0003554379,0.0001461336,0.0004889611,0.003571157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003063417,0.00001049752,0.6210414,0.0003428207,0.00001280494,0.00003497694,0.08250212,0.000001937258,2.526108e-7,0.01672917,0.002947298,0.2763737],"study_design_scores_gemma":[0.0005249814,0.00007307157,0.608853,0.0003081984,7.495369e-7,0.000004539379,0.2524509,0.00001605968,1.355687e-7,0.000400174,0.1372765,0.00009177515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7606941,0.01660176,0.00001912496,0.2216453,0.0003086732,0.0002847183,0.00004736172,0.000003660709,0.0003952735],"genre_scores_gemma":[0.9930936,0.004052228,0.00009989039,0.002102146,0.0004867268,0.000009757108,0.000002825617,0.00002226246,0.0001305462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.276282,"threshold_uncertainty_score":0.9998634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2986688689875594,"score_gpt":0.4874234528810464,"score_spread":0.188754583893487,"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."}}