{"id":"W2977987495","doi":"10.1016/j.drugpo.2019.09.006","title":"The ever-changing narrative: Supervised injection site policy making in Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"International Journal of Drug Policy","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Harm reduction; Narrative; Evidence-based policy; Leverage (statistics); Harm; Law enforcement; Enforcement; Public relations; Government (linguistics); Public administration; Politics; Rhetoric; Policy analysis; Political science; Business; Public health; Medicine; Law; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0005164684,0.000164956,0.0002709959,0.000983691,0.00008813576,0.00007031654,0.0003686117,0.00005115704,0.0001651388],"category_scores_gemma":[0.0004893617,0.0001242794,0.0001092203,0.0004423412,0.00003545444,0.0002707046,0.00009627704,0.0006316551,0.00002262993],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004209082,"about_ca_system_score_gemma":0.005651007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8862441,"about_ca_topic_score_gemma":0.9580452,"domain_scores_codex":[0.9978365,0.00009114233,0.0006129774,0.0001452795,0.0009618887,0.0003522069],"domain_scores_gemma":[0.9986126,0.0002052766,0.0003713417,0.000173362,0.0005139472,0.0001234623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001589786,0.0002473094,0.6299907,0.00003933983,0.0007456985,0.0006280384,0.3184528,0.004088569,0.004896564,0.004699466,0.009932271,0.02468945],"study_design_scores_gemma":[0.01256486,0.000662007,0.6530853,0.002045547,0.0001004013,0.004442262,0.1836388,0.003312221,0.002310621,0.00245795,0.134557,0.0008230872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727581,0.00007066247,0.00001958122,0.01956357,0.00117857,0.0001668167,0.000009940793,0.000008485003,0.006224321],"genre_scores_gemma":[0.9878601,0.00002578706,0.00009072143,0.002270758,0.001484162,0.000002715808,0.000008765895,0.00002450147,0.008232429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1348141,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723568970833198,"score_gpt":0.3363677023976577,"score_spread":0.3191320126893257,"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."}}