{"id":"W1964955464","doi":"10.1002/dta.158","title":"Screening for the synthetic cannabinoid JWH‐018 and its major metabolites in human doping controls","year":2010,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Synthetic cannabinoids; Metabolite; Designer drug; Chemistry; Urine; Cannabis; Pharmacology; Cannabinoid; Chromatography; Analyte; Liquid chromatography–mass spectrometry; Drug; Substance Abuse Detection; Tandem mass spectrometry; Solid phase extraction; Medicine; Mass spectrometry; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005104578,0.0004200191,0.0003090146,0.0008571575,0.0004318136,0.0003821125,0.0002490107,0.0007875792,0.001128502],"category_scores_gemma":[0.0008178993,0.0002057562,0.000263065,0.0003646921,0.0003860454,0.0001168159,0.000274103,0.0002740674,0.0003460109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093846,"about_ca_system_score_gemma":0.0003664751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008958037,"about_ca_topic_score_gemma":0.001322102,"domain_scores_codex":[0.9994302,0.000131916,0.00003557869,0.0001274242,0.0002155899,0.00005911665],"domain_scores_gemma":[0.999696,0.00007566912,0.00006979307,0.00001819363,0.0000879812,0.0000523092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007815469,0.000498927,0.02539078,0.0002376033,0.00006837653,0.000991435,0.0003416454,0.0001201415,0.9514714,0.000104449,0.000179886,0.01981378],"study_design_scores_gemma":[0.00008678596,0.007850175,0.1526425,0.00007544051,0.0002834968,0.006694361,0.0005596795,0.001864234,0.8201872,0.0002114051,0.009494518,0.00005014722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868464,0.003947519,0.006637135,0.0001479664,0.00007108122,0.0002780841,0.0003777643,0.00009380887,0.001600142],"genre_scores_gemma":[0.9858583,0.002064381,0.008609351,0.0002583817,0.00006043661,0.0001080579,0.0006500182,0.00001770735,0.002373515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001128502,"threshold_uncertainty_score":0.003775179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511662268658591,"score_gpt":0.3117609432683638,"score_spread":0.2866443205817779,"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."}}