{"id":"W4378713827","doi":"10.1002/dta.3520","title":"Toward automated infrared spectral analysis in community drug checking","year":2023,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University; Simon Fraser University; University of Victoria","funders":"Health Canada; Vancouver Foundation; University of Victoria","keywords":"Drug; Context (archaeology); Benzocaine; Harm reduction; Workflow; Computer science; Fentanyl; Automation; Artificial intelligence; Machine learning; Pharmacology; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004450367,0.001265825,0.001156177,0.002252906,0.001030402,0.002274749,0.002567644,0.002146972,0.002835449],"category_scores_gemma":[0.01224397,0.0007376461,0.001186181,0.001192761,0.0008809743,0.002078636,0.00257187,0.002207923,0.002859336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428997,"about_ca_system_score_gemma":0.00271104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131556,"about_ca_topic_score_gemma":0.01783172,"domain_scores_codex":[0.996776,0.0011032,0.0001343288,0.0006158368,0.001130536,0.0002400976],"domain_scores_gemma":[0.9912646,0.003010285,0.0008579909,0.001368694,0.00317707,0.0003213762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006706024,0.001087655,0.02159774,0.0004399218,0.00018406,0.0006584771,0.0009828389,0.1620653,0.0982829,0.004724903,0.01157657,0.6977291],"study_design_scores_gemma":[0.00002196871,0.00009033382,0.003268168,0.00005304327,0.0000165702,0.000140394,0.0002268581,0.9666134,0.02061217,0.005699068,0.003208428,0.00004963423],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04679486,0.0002287751,0.9397889,0.000663356,0.00005142766,0.0002413097,0.0002760144,0.01020109,0.001754251],"genre_scores_gemma":[0.2464433,0.0001986028,0.7503622,0.0002506634,0.00004038938,0.0001718995,0.0005619177,0.0003577415,0.001613177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0131556,"threshold_uncertainty_score":0.02615809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058941303133013,"score_gpt":0.4006175279791401,"score_spread":0.2947233976658388,"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."}}