{"id":"W1970569792","doi":"10.1111/j.1556-4029.2010.01323.x","title":"DETECHIP<sup>®</sup>: A Sensor for Drugs of Abuse*","year":2010,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"Division of Chemistry; National Center for Research Resources; National Institutes of Health; National Science Foundation","keywords":"Drugs of abuse; Analyte; Suspect; Characterization (materials science); Identification (biology); Fluorescence; Computer science; Chemistry; Chromatography; Nanotechnology; Materials science; Medicine; Pharmacology; Psychology; Drug; Biology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.003572548,0.0001983503,0.0005567721,0.0004551332,0.0003885134,0.00002277634,0.0006162379,0.000367609,0.0004610963],"category_scores_gemma":[0.000661842,0.000145444,0.0004488876,0.0005804432,0.002347003,0.0002481091,0.00003774612,0.0008916907,0.00001401071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000202879,"about_ca_system_score_gemma":0.0003025758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008942396,"about_ca_topic_score_gemma":0.00004320322,"domain_scores_codex":[0.9979188,0.0001749285,0.0008331662,0.0002389301,0.0003756247,0.0004585917],"domain_scores_gemma":[0.9968547,0.001372641,0.0008532882,0.0001778587,0.0005054215,0.0002361404],"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":[0.004609293,0.002176901,0.07506205,0.0003258079,0.002929542,0.0001849958,0.0282736,0.03240935,0.4398548,0.0474263,0.06662955,0.3001179],"study_design_scores_gemma":[0.008218617,0.004166806,0.003541025,0.0001107623,0.002194913,0.001236271,0.01000318,0.06064617,0.7399909,0.03475994,0.1341527,0.0009787347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941449,0.0002563646,0.0004036433,0.001431411,0.001784619,0.0001795728,0.00002757936,0.00001699197,0.00175494],"genre_scores_gemma":[0.9840339,0.00006744749,0.01421957,0.000813224,0.0005381702,0.000005286361,0.000001237934,0.00001081677,0.0003103227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3001361,"threshold_uncertainty_score":0.8647631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06232203304908446,"score_gpt":0.4080347079243765,"score_spread":0.345712674875292,"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."}}