{"id":"W4294618040","doi":"10.1101/2022.09.02.506358","title":"Understanding emergence of antimycobacterial dose dependent resistance","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; UK Research and Innovation","keywords":"Rifampicin; Drug resistance; Isoniazid; Biology; Drug; Antimycobacterial; Genotype; Antibiotics; Pharmacology; Microbiology; Medicine; Genetics; Mycobacterium tuberculosis; Tuberculosis; Gene","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":[0.0005592814,0.0002858794,0.0005404276,0.0003426333,0.0001461152,0.0005941296,0.0003905858,0.0006414849,0.001589211],"category_scores_gemma":[0.001251529,0.0002384269,0.0002943307,0.0001939482,0.0002599011,0.0007294199,0.0002789047,0.001040843,0.0006030544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004765018,"about_ca_system_score_gemma":0.0002032405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005601664,"about_ca_topic_score_gemma":0.0006291107,"domain_scores_codex":[0.9995645,0.00006881255,0.00002143864,0.0001087644,0.0001984159,0.00003807895],"domain_scores_gemma":[0.9993562,0.0002564551,0.0001251546,0.00008603419,0.0001475383,0.00002857859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008980693,0.00005073526,0.002256718,0.000209803,0.00001589019,0.00005890935,0.00004266023,0.002142577,0.9775358,0.0008931603,0.0006398176,0.01606423],"study_design_scores_gemma":[0.00000937993,0.0003308325,0.01625445,0.00002778368,0.00003089678,0.0002527373,0.00007761946,0.04798386,0.9249427,0.002973623,0.00708139,0.00003483133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8254446,0.01342795,0.1431056,0.002778294,0.0002859748,0.0001516963,0.00277906,0.001347836,0.01067893],"genre_scores_gemma":[0.9644353,0.002647968,0.02725414,0.0004260062,0.00006155291,0.00005390801,0.001059041,0.0001232685,0.003938837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001589211,"threshold_uncertainty_score":0.005316436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06115357100900295,"score_gpt":0.2787591542743956,"score_spread":0.2176055832653926,"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."}}