{"id":"W2912188626","doi":"10.1016/j.drugpo.2018.12.014","title":"Principles, practice, and policy vacuums: Policy actor views on provincial/territorial harm reduction policy in Canada","year":2019,"lang":"en","type":"article","venue":"International Journal of Drug Policy","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Government of Alberta; Alberta Health; Canada Research Chairs; Dalhousie University; University of Toronto; British Columbia Centre on Substance Use; Royal Alexandra Hospital; University of Guelph; University of Victoria; University of Saskatchewan; University of Alberta","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Harm reduction; Harm; Political science; Reduction (mathematics); Public administration; Public relations; Law; Medicine; Nursing; Public health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007439809,0.0004088683,0.0007147982,0.002969919,0.00006156797,0.0001223115,0.0006120175,0.0001537312,0.00004866784],"category_scores_gemma":[0.005479085,0.000360741,0.0001668216,0.0008545265,0.00008419908,0.0007775718,0.0001938312,0.001004584,0.00005546121],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009425754,"about_ca_system_score_gemma":0.0279058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8448795,"about_ca_topic_score_gemma":0.1671013,"domain_scores_codex":[0.995512,0.000261975,0.001418518,0.000409487,0.001793139,0.0006048902],"domain_scores_gemma":[0.9965971,0.0003152421,0.001291369,0.0003976454,0.0008074259,0.0005912121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02863753,0.006771231,0.1036001,0.0009665745,0.004451275,0.003261175,0.128033,0.002158819,0.05906801,0.2334878,0.08871128,0.3408532],"study_design_scores_gemma":[0.01339609,0.001208169,0.07060332,0.001198128,0.0001392965,0.005127977,0.01286954,0.0002129869,0.005025911,0.00151443,0.8878884,0.0008157053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578844,0.0001356992,0.000004896807,0.1214109,0.003107321,0.000660483,0.0001718188,0.00002419427,0.01660028],"genre_scores_gemma":[0.9510773,0.0005909194,0.0003508442,0.004714552,0.03960567,0.00001194487,0.00003010378,0.00007608473,0.00354263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7991772,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312309500452609,"score_gpt":0.3792779443378444,"score_spread":0.3461548493333183,"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."}}