{"id":"W3141867322","doi":"10.3390/antibiotics10040381","title":"Repurposing Avermectins and Milbemycins against Mycobacteroides abscessus and Other Nontuberculous Mycobacteria","year":2021,"lang":"en","type":"article","venue":"Antibiotics","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Gobierno de Aragón; European Society of Clinical Microbiology and Infectious Diseases","keywords":"Nontuberculous mycobacteria; Mycobacterium ulcerans; Antimycobacterial; Mycobacterium marinum; Repurposing; Microbiology; Minimum inhibitory concentration; Mycobacterium; Mycobacterium abscessus; Biology; Antimicrobial; Medicine; Tuberculosis; Bacteria; Mycobacterium tuberculosis; Disease; Pathology","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":[0.00009603618,0.0002928718,0.0002505768,0.0003456395,0.00009963222,0.0001633505,0.0001732973,0.00021066,0.000858658],"category_scores_gemma":[0.0001379057,0.00009929598,0.0002413009,0.0001556855,0.0001326293,0.0002429517,0.0002346872,0.0003499044,0.0001753512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007824306,"about_ca_system_score_gemma":0.0001202557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002189054,"about_ca_topic_score_gemma":0.0006646354,"domain_scores_codex":[0.9999307,0.00001281215,0.000005941165,0.0000114474,0.00001965026,0.00001935088],"domain_scores_gemma":[0.999951,0.000007579153,0.00001630021,0.000004540746,0.000007302381,0.00001331394],"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":[0.0004351835,0.0001909811,0.0008697929,0.0003777842,0.00002050194,0.0004089175,0.00005020703,0.0004422125,0.9701632,0.000143677,0.0001925769,0.02670505],"study_design_scores_gemma":[0.0001218389,0.008505103,0.01690066,0.000114809,0.0001251661,0.002008724,0.0001380781,0.001145298,0.9517406,0.0001858437,0.01898886,0.00002501844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764183,0.01974711,0.001130012,0.0001281892,0.00003649363,0.00006565309,0.0003147507,0.00003943374,0.002119996],"genre_scores_gemma":[0.9909508,0.00577352,0.001578612,0.0001034652,0.00002168757,0.00003050066,0.0002691121,0.000006970928,0.001265327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000858658,"threshold_uncertainty_score":0.002872527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796001695551659,"score_gpt":0.2812527176659477,"score_spread":0.2632927007104311,"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."}}