{"id":"W3192846055","doi":"10.1186/s13015-021-00198-1","title":"INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis","year":2021,"lang":"en","type":"article","venue":"Algorithms for Molecular Biology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"European and Developing Countries Clinical Trials Partnership; Foreign, Commonwealth and Development Office; Foreign and Commonwealth Office; Medical Research Council; Genome Canada","keywords":"Interpretability; Computer science; Machine learning; Artificial intelligence; Classifier (UML); Tuberculosis; Mycobacterium tuberculosis; Test set; Data mining; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009776338,0.0002358957,0.000675405,0.0001976026,0.0001017353,0.00001747968,0.0001841981,0.000321445,0.00003558069],"category_scores_gemma":[0.003022479,0.0002197376,0.0002713007,0.0002993411,0.0001443233,0.00008209826,0.00008079334,0.0003307821,0.000005129259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137721,"about_ca_system_score_gemma":0.0002296869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001548642,"about_ca_topic_score_gemma":0.0007114502,"domain_scores_codex":[0.9972901,0.0003339848,0.0005549111,0.0008118228,0.0001072298,0.0009019274],"domain_scores_gemma":[0.9981409,0.0006639702,0.00008944659,0.0005237205,0.0003254822,0.0002564475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003325186,0.001433087,0.09273923,0.001084075,0.001553247,0.0004968015,0.001521288,0.00006721335,0.7931073,0.03025883,0.01878221,0.05563151],"study_design_scores_gemma":[0.02077553,0.003629177,0.01658701,0.0008942671,0.0006986395,0.0004953375,0.001911223,0.09130501,0.2834082,0.05230581,0.5259593,0.002030459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.751792,0.007983208,0.2053337,0.02830315,0.0007655711,0.002612016,0.0003198225,0.0001747417,0.002715859],"genre_scores_gemma":[0.824704,0.000388225,0.1595093,0.007867853,0.0005626688,0.001892901,0.002029158,0.0001422054,0.002903679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5096991,"threshold_uncertainty_score":0.8960637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067170206095806,"score_gpt":0.3686188964198777,"score_spread":0.3379471943589196,"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."}}