{"id":"W2513630786","doi":"10.1016/j.clinbiochem.2015.07.077","title":"Broad spectrum urine drug screening: The challenges of assessing qualitative cut-off performance characteristics in an LC–MS/MS System","year":2015,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; McMaster University","funders":"","keywords":"Broad spectrum; Affect (linguistics); Psychology; Computer science; Medical education; Medicine; Chemistry; Communication; Combinatorial chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03626059,0.001728363,0.002962619,0.003547872,0.001622817,0.006117363,0.003234365,0.003925269,0.001345914],"category_scores_gemma":[0.04309256,0.001212428,0.0009113602,0.001529866,0.003425566,0.0028633,0.001829873,0.003554515,0.001714516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480646,"about_ca_system_score_gemma":0.004445093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004416904,"about_ca_topic_score_gemma":0.009190541,"domain_scores_codex":[0.9657768,0.01155306,0.002111254,0.003745955,0.01616984,0.0006430571],"domain_scores_gemma":[0.9484209,0.03133163,0.004200015,0.002960496,0.01208933,0.0009975849],"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":[0.001378498,0.001595408,0.101845,0.002568392,0.001052531,0.0005676551,0.0009532499,0.007157056,0.545559,0.004437427,0.008324279,0.3245615],"study_design_scores_gemma":[0.0002566015,0.005031275,0.1052736,0.001362815,0.001057374,0.008222488,0.002829706,0.1248816,0.6923139,0.02690622,0.03114563,0.0007187944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3494968,0.03091209,0.5840324,0.01138788,0.001269844,0.001746327,0.002523466,0.00592369,0.01270746],"genre_scores_gemma":[0.5963518,0.007337427,0.3788889,0.009900191,0.0005745731,0.0008079985,0.0009565999,0.0006246318,0.004557889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03626059,"threshold_uncertainty_score":0.1917666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183319732784862,"score_gpt":0.371517704862749,"score_spread":0.2531857315842628,"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."}}