{"id":"W3008726142","doi":"10.1021/acssensors.9b02390","title":"Electrochemical Sensing of Cannabinoids in Biofluids: A Noninvasive Tool for Drug Detection","year":2020,"lang":"en","type":"review","venue":"ACS Sensors","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Synthetic cannabinoids; Cannabis; Drug detection; Nanotechnology; Computer science; Cannabinoid; Materials science; Chemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006571223,0.0005842883,0.002295235,0.0004664464,0.0001377062,0.00001051344,0.0002856423,0.00145457,0.000058272],"category_scores_gemma":[0.0007595609,0.0005577524,0.0008293983,0.0009526314,0.0003438304,0.00005697815,0.00008802464,0.001732955,0.0000484463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021631,"about_ca_system_score_gemma":0.0003596391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003291376,"about_ca_topic_score_gemma":0.0001308069,"domain_scores_codex":[0.9964948,0.0008387418,0.001136866,0.0007114485,0.0001502567,0.0006679132],"domain_scores_gemma":[0.9973961,0.00143277,0.000563027,0.0002889561,0.0001526763,0.0001664687],"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":[0.0004508639,0.0002230954,0.00003152232,0.008610087,0.001929228,0.0002071292,0.0009364033,0.00004122366,0.01077836,0.0001435283,0.004168385,0.9724802],"study_design_scores_gemma":[0.0008366825,0.000142701,0.000001232258,0.0006119605,0.003241146,0.00014586,0.00009440146,0.0005372142,0.06636246,0.0001369329,0.9273164,0.0005730147],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01050048,0.986107,0.0001867182,0.0004464025,0.0007300454,0.00159511,0.0001665265,0.00009763307,0.000170089],"genre_scores_gemma":[0.007449441,0.9904884,0.0003614132,0.000532052,0.0004289483,0.0001030869,0.0001657364,0.00008836007,0.0003825357],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9719071,"threshold_uncertainty_score":0.9998417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06175981468724531,"score_gpt":0.4028969317313461,"score_spread":0.3411371170441008,"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."}}