{"id":"W6906354061","doi":"10.17605/osf.io/udvxe","title":"Exploring Satisfaction with Canada’s Drug Policies and Interventions","year":2021,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Harm reduction; Scope (computer science); Harm; Mental health; Stigma (botany); Drug","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006061497,0.0003395999,0.0006924523,0.002556774,0.004972526,0.005116357,0.001556999,0.0006846413,0.008817108],"category_scores_gemma":[0.02066679,0.0002107896,0.0009312024,0.006115377,0.001718232,0.001218522,0.002273394,0.001946003,0.0004359943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0618178,"about_ca_system_score_gemma":0.1309439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795909,"about_ca_topic_score_gemma":0.9888865,"domain_scores_codex":[0.9958396,0.0009442973,0.0001707346,0.0003074926,0.00154629,0.001191659],"domain_scores_gemma":[0.9797162,0.004074847,0.002676467,0.0007052288,0.009607634,0.003219689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009819859,0.0005256124,0.8676781,0.000435422,0.0001761829,0.00009913758,0.009673852,0.0008457594,0.0001093057,0.01285323,0.01804244,0.0894628],"study_design_scores_gemma":[0.00002970139,0.0001468247,0.9257028,0.000898333,0.0001360577,0.00005113327,0.04268441,0.002548157,0.000255543,0.002737297,0.02473705,0.00007281371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8690965,0.001747574,0.001959712,0.0168755,0.000163154,0.0007219007,0.01547732,0.00005264689,0.09390566],"genre_scores_gemma":[0.9792417,0.001212385,0.004374292,0.002090476,0.00002880269,0.0005438456,0.003447571,0.00001683273,0.009044192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0618178,"threshold_uncertainty_score":0.4485216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282210973195973,"score_gpt":0.3543041019465379,"score_spread":0.2260830046269406,"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."}}