{"id":"W4412149847","doi":"10.3390/tropicalmed10070192","title":"Series 1: The Use of hsp65- and erm(41)-Targeted Amplicon Sequencing in the Diagnostic Workflow for Non-Tuberculous Mycobacteria","year":2025,"lang":"en","type":"article","venue":"Tropical Medicine and Infectious Disease","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Centre for Disease Control","funders":"British Columbia Centre for Disease Control","keywords":"Workflow; Amplicon; Medicine; Microbiology; Computational biology; Computer science; Biology; Database; Polymerase chain reaction; Gene; Genetics","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":[0.01253184,0.001943915,0.0009879486,0.002283694,0.001105134,0.002430794,0.002375964,0.001926254,0.007784483],"category_scores_gemma":[0.009890389,0.0008370872,0.001107838,0.001410439,0.00114869,0.001841855,0.002208392,0.002316842,0.01017563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118477,"about_ca_system_score_gemma":0.003391277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156983,"about_ca_topic_score_gemma":0.001848965,"domain_scores_codex":[0.9888394,0.003190672,0.0009066509,0.003029733,0.003490872,0.0005426161],"domain_scores_gemma":[0.99259,0.001648161,0.0010181,0.001511921,0.002331763,0.0009001475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001354867,0.0009849465,0.02113012,0.001821137,0.0002211478,0.00157444,0.001604446,0.003102991,0.3982524,0.003590343,0.04375486,0.5226083],"study_design_scores_gemma":[0.0001743982,0.003622718,0.02410221,0.0005945026,0.0002143651,0.008539042,0.0003757016,0.009943141,0.6983486,0.003320379,0.2504892,0.0002756582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1992792,0.01163333,0.6936301,0.004440015,0.006729821,0.006555031,0.004277261,0.01975981,0.05369547],"genre_scores_gemma":[0.3457305,0.01035982,0.5199809,0.00698131,0.004444261,0.00505377,0.02192094,0.004831191,0.08069718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01253184,"threshold_uncertainty_score":0.06627554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537223151208147,"score_gpt":0.3013855755658927,"score_spread":0.2660133440538113,"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."}}