{"id":"W2032026807","doi":"10.1002/rcm.3142","title":"Development of a qualitative liquid chromatography/tandem mass spectrometric method for the detection of narcotics in urine relevant to doping analysis","year":2007,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Diethyl ether; Dichloromethane; Detection limit; Mass spectrometry; Extraction (chemistry); Liquid chromatography–mass spectrometry; Electrospray; Solvent; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005377399,0.0001711141,0.0007199547,0.004260072,0.0001474799,0.000004992015,0.0004329382,0.00006860846,0.000008743624],"category_scores_gemma":[0.001046192,0.0001301871,0.000241052,0.01323171,0.00017339,0.00003994044,0.0001623469,0.0003254173,7.795511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508096,"about_ca_system_score_gemma":0.00008096285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000793722,"about_ca_topic_score_gemma":0.0007487153,"domain_scores_codex":[0.9977345,0.0002543857,0.001043704,0.0003012735,0.0003577746,0.0003083107],"domain_scores_gemma":[0.9959132,0.002297865,0.0003253545,0.001093652,0.0003153723,0.00005452144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001146868,0.001200956,0.0223466,0.0003083902,0.004190846,0.000002463762,0.02995779,0.0001743371,0.9191206,0.004714285,0.000004345553,0.01683259],"study_design_scores_gemma":[0.001624245,0.001327191,0.6053616,0.0002142508,0.0007906684,0.000006619315,0.05304246,0.001404401,0.3335299,0.001591478,0.0007702309,0.000336921],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3666044,0.007220774,0.6232172,0.001287606,0.00003774676,0.0009409245,0.00000765833,0.0000204092,0.0006632193],"genre_scores_gemma":[0.5938658,0.0008614131,0.4051599,0.00001094751,0.00001677187,0.00005789074,0.000006346694,0.000009575228,0.00001133292],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5855907,"threshold_uncertainty_score":0.6357396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06992525379694205,"score_gpt":0.4066648005065785,"score_spread":0.3367395467096365,"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."}}