{"id":"W1964908941","doi":"10.1503/cmaj.051505","title":"Homelessness and harm reduction","year":2006,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm reduction; Harm; Reduction (mathematics); Medicine; Sleep (system call); Gerontology; Psychology; Computer science; Nursing; Social psychology; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002812931,0.000470496,0.000536949,0.00101606,0.005443448,0.002085471,0.001008195,0.01055049,0.01754834],"category_scores_gemma":[0.01291563,0.0001371418,0.0003882106,0.00057146,0.005200652,0.002164263,0.003879632,0.01011654,0.002489049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004727936,"about_ca_system_score_gemma":0.01248752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02216767,"about_ca_topic_score_gemma":0.06505046,"domain_scores_codex":[0.9957281,0.001676889,0.0001156357,0.0001679963,0.001640103,0.0006713582],"domain_scores_gemma":[0.9960613,0.001206199,0.0002874926,0.0001268008,0.0006806709,0.001637608],"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":[0.00002930029,0.0002279643,0.002779808,0.0003355271,0.00001651489,0.0007730689,0.001305296,0.00006702106,0.0001702615,0.02950014,0.7855408,0.1792543],"study_design_scores_gemma":[0.00006446955,0.0002760694,0.01228941,0.003006817,0.00002053105,0.00218585,0.003699128,0.0001410448,0.0001424667,0.03787807,0.9402675,0.00002859515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001591641,0.01581589,0.0001718474,0.9288687,0.003551089,0.00002564425,0.00002714238,0.0000337793,0.04991436],"genre_scores_gemma":[0.09405831,0.04668345,0.001120069,0.8140714,0.01509307,0.0001470323,0.0001013704,0.00003061084,0.0286948],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02216767,"threshold_uncertainty_score":0.05870509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089847322514288,"score_gpt":0.3321704399295092,"score_spread":0.3112719667043663,"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."}}