{"id":"W4288057885","doi":"10.1016/j.drugpo.2022.103805","title":"Policy actor views on structural vulnerability in harm reduction and policymaking for illegal drugs: A qualitative study","year":2022,"lang":"en","type":"article","venue":"International Journal of Drug Policy","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Alexandra Hospital; University of Victoria; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Harm reduction; Vulnerability (computing); Harm; Criminology; Qualitative research; Reduction (mathematics); Political science; Computer security; Law and economics; Sociology; Law; Medicine; Computer science; Public health; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.03121811,0.0004909451,0.0006267584,0.002257457,0.02167442,0.01013461,0.00216288,0.005422307,0.007266729],"category_scores_gemma":[0.04658761,0.001031705,0.0004274061,0.00220474,0.01875224,0.008619536,0.01119081,0.008683573,0.0004045958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01630147,"about_ca_system_score_gemma":0.0170448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0240579,"about_ca_topic_score_gemma":0.0280327,"domain_scores_codex":[0.96832,0.02457478,0.0006327732,0.0008948182,0.001380033,0.004197664],"domain_scores_gemma":[0.9159318,0.07205073,0.003829472,0.0009934553,0.002805167,0.004389452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000294734,0.00004634623,0.002517125,0.00006719315,0.000005278275,0.0002060692,0.9858339,0.00003184877,0.0001802253,0.009301178,0.0002996583,0.001481758],"study_design_scores_gemma":[0.000004428866,0.00001392823,0.0007679441,0.00009338674,0.000003303011,0.00004145897,0.9948481,0.00003723663,0.00007545127,0.0007936451,0.003314946,0.000006207561],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503266,0.0007036129,0.002306071,0.02239251,0.0001581508,0.0001782001,0.0001182962,0.000009943833,0.02380667],"genre_scores_gemma":[0.9962166,0.000297613,0.0002646949,0.001510695,0.0000135405,0.0001075233,0.00001926596,0.00001263748,0.001557406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03121811,"threshold_uncertainty_score":0.1650991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08582795587479707,"score_gpt":0.4937494588051658,"score_spread":0.4079215029303687,"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."}}