{"id":"W1691499323","doi":"10.1002/dta.1358","title":"Analytical difficulties facing today's regulatory laboratories: issues in method validation","year":2012,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; St. Mary's University","funders":"","keywords":"Scope (computer science); Accreditation; Risk analysis (engineering); Computer science; Quality assurance; Context (archaeology); Process (computing); Quality (philosophy); Traceability; Management science; Process management; Operations research; Reliability engineering; Systems engineering; Engineering; Operations management; Software engineering; Business","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":[0.001052735,0.0001425908,0.0003730505,0.00007758359,0.0002082458,0.00008485435,0.00009101369,0.00006137398,0.00005166762],"category_scores_gemma":[0.0005219018,0.00006073136,0.0001135458,0.002413149,0.00003996201,0.0001929975,0.00005034615,0.0001023721,0.000004524427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003066089,"about_ca_system_score_gemma":0.000004594316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158229,"about_ca_topic_score_gemma":0.0003495043,"domain_scores_codex":[0.9986964,0.0002163421,0.0003047877,0.0002610845,0.0002126289,0.0003087604],"domain_scores_gemma":[0.9988144,0.0007920843,0.0001034516,0.0000692003,0.00009150134,0.0001293311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002808843,0.0000384351,0.977623,0.000006390657,0.0001094467,0.000001778245,0.0002489499,0.0007062426,0.003930682,0.0003715951,0.00004375618,0.01691685],"study_design_scores_gemma":[0.00004741672,0.00001044689,0.9722871,0.00001906897,0.000484611,0.000001329954,0.001906147,0.02393906,0.0008138066,0.00006122061,0.0002532098,0.000176649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984468,0.0006023504,0.00007536304,0.0004078994,0.00001478223,0.00003200233,0.00001475994,0.000066423,0.000339637],"genre_scores_gemma":[0.9968203,0.00003002078,0.002732863,0.00003496967,0.0001665324,0.000004245127,0.000055571,9.004572e-7,0.000154623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323282,"threshold_uncertainty_score":0.3262612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760128405357281,"score_gpt":0.2842866507478818,"score_spread":0.256685366694309,"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."}}