{"id":"W2583190277","doi":"10.1093/jat/bkx002","title":"Procedure for the Selection and Validation of a Calibration Model II—Theoretical Basis","year":2017,"lang":"en","type":"article","venue":"Journal of Analytical Toxicology","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Selection (genetic algorithm); Basis (linear algebra); Model selection; Computer science; Statistics; Computational biology; Mathematics; Artificial intelligence; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007790993,0.001883674,0.001254512,0.002668596,0.001189197,0.002064966,0.002625608,0.001705735,0.009039728],"category_scores_gemma":[0.01263731,0.0008535994,0.002119039,0.0013011,0.001651426,0.001496136,0.003034463,0.003628816,0.006346738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290055,"about_ca_system_score_gemma":0.003894229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700012,"about_ca_topic_score_gemma":0.001022744,"domain_scores_codex":[0.9956305,0.001510765,0.0003018316,0.000766663,0.001640202,0.0001501281],"domain_scores_gemma":[0.9963557,0.001752072,0.0002427586,0.0005945219,0.0009994688,0.00005545574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003785399,0.0005656696,0.004265531,0.002859639,0.0003835163,0.0008771862,0.001065857,0.1161089,0.06454452,0.238301,0.01214871,0.5585009],"study_design_scores_gemma":[0.0001593112,0.001450715,0.004210619,0.001048407,0.0002694838,0.001465861,0.0003919392,0.5626485,0.127224,0.1801554,0.1205535,0.0004223793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001694728,0.0002001764,0.9955602,0.0001095189,0.00004175049,0.0004189826,0.0001515863,0.0004780342,0.001345034],"genre_scores_gemma":[0.0442781,0.0006649465,0.9483097,0.0001867344,0.00006900263,0.00295852,0.0008374698,0.0002821259,0.002413404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009039728,"threshold_uncertainty_score":0.0412032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305464912231602,"score_gpt":0.2900732695900898,"score_spread":0.2595267783669296,"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."}}