{"id":"W6939130789","doi":"10.60692/tc5v1-fmb27","title":"Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Mycobacterium tuberculosis; Pyrazinamide; Ethambutol; Nanopore sequencing; Whole genome sequencing; Tuberculosis; Identification (biology); Mutation","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":[0.001433617,0.001288152,0.0007756522,0.002273044,0.0005124455,0.001285025,0.001480782,0.0008508575,0.005215942],"category_scores_gemma":[0.006854482,0.0009316425,0.001965526,0.001936537,0.0002440917,0.001426787,0.001308953,0.001029015,0.005924129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004688991,"about_ca_system_score_gemma":0.001078077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009811179,"about_ca_topic_score_gemma":0.01884862,"domain_scores_codex":[0.9993024,0.0001191229,0.0000553708,0.0003055267,0.0001552145,0.00006236273],"domain_scores_gemma":[0.9982888,0.0007374982,0.000270289,0.0003253605,0.0002833169,0.00009470211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004224074,0.0003918222,0.2064435,0.006317033,0.003479376,0.00146907,0.001936679,0.09542645,0.08125836,0.006668242,0.3471962,0.2451892],"study_design_scores_gemma":[0.0004036724,0.0005059663,0.09578471,0.0007856906,0.0007999279,0.002248624,0.0006445587,0.6059272,0.05825605,0.01259209,0.2215677,0.0004838676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.2874135,0.003621553,0.1611934,0.001040651,0.0003229671,0.0002033951,0.3915737,0.1473187,0.007312127],"genre_scores_gemma":[0.2464608,0.001101369,0.3637791,0.0005224279,0.00008830873,0.0003844618,0.3760323,0.009608448,0.002022787],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009811179,"threshold_uncertainty_score":0.01950818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05828671800055406,"score_gpt":0.2717272537094801,"score_spread":0.213440535708926,"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."}}