{"id":"W6977566652","doi":"10.7910/dvn/fzstjf","title":"Replication Data for: \"Opioid Use, Mortality Risks and Crime: Insights from a Rapid Reduction in Heroin Supply\"","year":2024,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Replication (statistics); Heroin; Reduction (mathematics); Heroin dependence; Mechanism (biology)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006225536,0.00150715,0.001279036,0.002253955,0.001361482,0.002448958,0.003491538,0.002479731,0.102411],"category_scores_gemma":[0.04246502,0.0009844224,0.001872601,0.005946354,0.0005391784,0.001748684,0.002521568,0.003286578,0.06569914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905343,"about_ca_system_score_gemma":0.004228293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05656657,"about_ca_topic_score_gemma":0.07729595,"domain_scores_codex":[0.9969318,0.0008950331,0.0004803309,0.000626948,0.0007536514,0.0003121307],"domain_scores_gemma":[0.9831056,0.003425336,0.001264896,0.005215789,0.006108064,0.0008803075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000696538,0.00001505426,0.0008537089,0.0002035349,0.00003558213,0.00001166609,0.00002644227,0.0000762132,0.00003920796,0.0004574993,0.9970914,0.001120138],"study_design_scores_gemma":[0.001439659,0.00006476742,0.02191637,0.0006602376,0.0001843225,0.00009385809,0.0003139082,0.0004094935,0.0003961157,0.002785346,0.9716395,0.00009641864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003201938,0.00005178509,0.0001621518,0.0003503983,0.0001088508,0.00006559228,0.9974559,0.0001726273,0.001312414],"genre_scores_gemma":[0.001853893,0.00007236679,0.0007348919,0.0001888698,0.00003863554,0.0006581381,0.9927223,0.0001542999,0.003576485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.102411,"threshold_uncertainty_score":0.342599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06246304569240836,"score_gpt":0.2902713334681523,"score_spread":0.227808287775744,"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."}}