{"id":"W2608108963","doi":"10.1038/nmicrobiol.2017.61","title":"Antimicrobials: Expressing antibiotic gene clusters","year":2017,"lang":"en","type":"letter","venue":"Nature Microbiology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gene; Drug discovery; Antibiotics; Antimicrobial; Computational biology; Biology; Microbiology; Genetics; Bioinformatics","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":[0.002223371,0.0009159921,0.0008952765,0.0003702659,0.001703623,0.003388426,0.0009559286,0.029462,0.002932539],"category_scores_gemma":[0.0131601,0.00066786,0.001005176,0.0003648621,0.002881282,0.002093954,0.001648802,0.02908839,0.003699275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00295492,"about_ca_system_score_gemma":0.001515487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034495,"about_ca_topic_score_gemma":0.001541108,"domain_scores_codex":[0.9980479,0.0005075896,0.0002521041,0.0002353372,0.000678798,0.0002782635],"domain_scores_gemma":[0.9963284,0.002439343,0.0002715296,0.0001640667,0.000419824,0.0003768101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002620035,0.0001432661,0.0008494472,0.0001163175,0.00003186183,0.007299892,0.0001782372,0.0002668257,0.003706852,0.01357549,0.9425805,0.03098929],"study_design_scores_gemma":[0.0004720967,0.0003326832,0.0006718946,0.0001541088,0.00007209645,0.007246071,0.0002972455,0.001553207,0.005673235,0.02332241,0.9601368,0.00006815631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002081279,0.002744578,0.0006389518,0.9574865,0.03207607,0.00002828098,0.00006462805,0.00007507073,0.004804632],"genre_scores_gemma":[0.02204475,0.004806981,0.001779883,0.8968834,0.05971682,0.0001712742,0.000105354,0.0000648463,0.01442664],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.029462,"threshold_uncertainty_score":0.02143949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570999208740715,"score_gpt":0.269738091656865,"score_spread":0.2540280995694578,"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."}}