{"id":"W2086436034","doi":"10.1300/j013v37n03_01","title":"Meeting the Health Care Needs of Female Crack Users: A Canadian Example","year":2003,"lang":"en","type":"article","venue":"Women & Health","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Health care; Welfare; Social Welfare; Nursing; Medicine; Gerontology; Political science; Law","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":[0.0007142063,0.0004349818,0.0003491512,0.001179866,0.0224602,0.002106972,0.0009887411,0.001678397,0.004024798],"category_scores_gemma":[0.001333612,0.0002610581,0.0004654934,0.003049212,0.002447053,0.0006406817,0.001885005,0.002018036,0.0003107758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03171595,"about_ca_system_score_gemma":0.04624684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979979,"about_ca_topic_score_gemma":0.9953674,"domain_scores_codex":[0.998859,0.0001410714,0.00001455672,0.00003598434,0.0003042516,0.0006451375],"domain_scores_gemma":[0.9989904,0.0001214102,0.00005526985,0.00001960715,0.0003190378,0.000494267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000415796,0.0006612551,0.1419174,0.0008978099,0.00006394181,0.01910393,0.5396717,0.0003928674,0.004463505,0.02869086,0.09753123,0.1661897],"study_design_scores_gemma":[0.0001002344,0.0002444701,0.1790841,0.0004357332,0.00005539526,0.003319055,0.5984872,0.0004225624,0.0004470288,0.001053927,0.2162513,0.00009900449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390627,0.006177786,0.0005158293,0.04317066,0.0002968393,0.0003999482,0.0008526474,0.00002944563,0.1094941],"genre_scores_gemma":[0.9461434,0.01645502,0.001681114,0.006889913,0.0001155281,0.0001180657,0.0002883754,0.00003329349,0.02827518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03171595,"threshold_uncertainty_score":0.2301164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06648855205221367,"score_gpt":0.3944986953544992,"score_spread":0.3280101433022856,"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."}}