{"id":"W4225696771","doi":"10.2196/37632","title":"Synthetic Cannabinoids in Prisons: Content Analysis of TikToks","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; Small Business Innovation Research","keywords":"Snowball sampling; Prison; Synthetic cannabinoids; Population; Medicine; Spice; Psychology; Criminology; Environmental health; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001901113,0.0002894585,0.0002322464,0.00482019,0.0007826952,0.001301708,0.0003511362,0.0003321958,0.001386116],"category_scores_gemma":[0.01236479,0.0001107429,0.0003365469,0.003099027,0.0006318053,0.001077752,0.001279301,0.0004339005,0.0002611346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500162,"about_ca_system_score_gemma":0.001012561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009175642,"about_ca_topic_score_gemma":0.01912976,"domain_scores_codex":[0.9989207,0.0004124843,0.0001242676,0.0001596701,0.0002679242,0.0001149823],"domain_scores_gemma":[0.9919921,0.004356832,0.001662424,0.0002294916,0.00149889,0.0002603828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001120697,0.0003671186,0.4302402,0.009359877,0.0001502115,0.002546491,0.259934,0.0005428606,0.02385168,0.002142527,0.01441446,0.2553299],"study_design_scores_gemma":[0.00001729379,0.000259542,0.7957806,0.002618846,0.0001562391,0.001182504,0.1518885,0.00382369,0.004659641,0.0007551954,0.03875997,0.0000979996],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869066,0.0008452933,0.001992294,0.0002937834,0.00005114235,0.0006662625,0.005423658,0.00007006949,0.003750782],"genre_scores_gemma":[0.976866,0.001275268,0.01149377,0.0002149844,0.00005617249,0.001043936,0.006700509,0.00006387695,0.002285564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009175642,"threshold_uncertainty_score":0.01824445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504637029945688,"score_gpt":0.4417909855849632,"score_spread":0.2913272825903944,"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."}}