{"id":"W4360938284","doi":"10.1186/s12954-023-00764-3","title":"Point-of-care community drug checking technologies: an insider look at the scientific principles and practical considerations","year":2023,"lang":"en","type":"review","venue":"Harm Reduction Journal","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Health Canada; Natural Sciences and Engineering Research Council of Canada; Vancouver Foundation; Vancouver Island University; University of Victoria","keywords":"Service (business); Drug detection; Computer science; Instrumentation (computer programming); Insider; Data science; Risk analysis (engineering); Nanotechnology; Medicine; Business; Chemistry; Political science; Law; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04010824,0.001506557,0.001208932,0.004463873,0.003966878,0.01620136,0.005339907,0.008872374,0.004897424],"category_scores_gemma":[0.03544653,0.001165597,0.0009906905,0.002429318,0.01165966,0.01577357,0.005818321,0.007825083,0.002487493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006141642,"about_ca_system_score_gemma":0.006127088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008396327,"about_ca_topic_score_gemma":0.01229381,"domain_scores_codex":[0.9660423,0.01499528,0.001331398,0.001966825,0.01429369,0.001370523],"domain_scores_gemma":[0.9555448,0.02483702,0.001338331,0.002725292,0.01427567,0.00127894],"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":[0.0002614701,0.0003718511,0.01138579,0.005347405,0.00009091086,0.002258798,0.01128977,0.002094912,0.01228561,0.2955014,0.08176412,0.577348],"study_design_scores_gemma":[0.00004390902,0.001007778,0.006441556,0.007186616,0.00009591078,0.006253122,0.02013074,0.005827619,0.01469159,0.140424,0.7975625,0.0003346779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0224421,0.2207712,0.2131106,0.4532658,0.005183873,0.0008928866,0.0005310068,0.001027342,0.0827752],"genre_scores_gemma":[0.2276325,0.1883264,0.4785385,0.06489646,0.009589639,0.001367057,0.0004811586,0.0008343682,0.02833393],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04010824,"threshold_uncertainty_score":0.2121152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3562102279145125,"score_gpt":0.5077284330008225,"score_spread":0.15151820508631,"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."}}