{"id":"W2534733046","doi":"10.17269/cjph.107.5178","title":"Unmet health care needs among sex workers in five census metropolitan areas of Canada","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Sex work and related issues","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Metropolitan area; Health care; Census; Community health; Medicine; Health equity; Equity (law); Gerontology; Environmental health; American Community Survey; Public health; Nursing; Population; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004512595,0.0004208174,0.0005536379,0.002332667,0.004819303,0.002012002,0.00195808,0.0008108179,0.002239],"category_scores_gemma":[0.001869483,0.0006413253,0.001113129,0.006261085,0.0009145453,0.000745734,0.001887808,0.001095766,0.0001907908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04564511,"about_ca_system_score_gemma":0.04990394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976684,"about_ca_topic_score_gemma":0.9992317,"domain_scores_codex":[0.9986678,0.00009728633,0.0001275275,0.0001178052,0.0003160692,0.0006734874],"domain_scores_gemma":[0.998024,0.00009009775,0.000306044,0.00002756824,0.0008207958,0.0007315774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008489589,0.00008612022,0.9878104,0.00008976496,0.0001008774,0.0001899471,0.003651291,0.0001498797,0.0001302862,0.0001941814,0.002081942,0.00543048],"study_design_scores_gemma":[0.000008178913,0.00001924081,0.9879349,0.00006206281,0.00003174474,0.00005442408,0.01064718,0.0002391319,0.00003820185,0.00002959139,0.0009193214,0.0000160271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922816,0.0008397008,0.00004250251,0.0006480844,0.00001977665,0.00004941289,0.004218449,0.000008298918,0.001892235],"genre_scores_gemma":[0.9965251,0.0006536744,0.0001119499,0.0001796976,0.000007359594,0.00002844986,0.001180582,0.000004653379,0.001308496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04564511,"threshold_uncertainty_score":0.33118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441506746640097,"score_gpt":0.2973271539751459,"score_spread":0.2729120865087449,"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."}}