{"id":"W3046975610","doi":"10.1101/2020.08.05.236711","title":"vCOMBAT: a Novel Tool to Create and Visualize a COmputational Model of Bacterial Antibiotic Target-binding","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Norges Forskningsråd; Bill and Melinda Gates Foundation","keywords":"Antibiotics; Dosing; Computer science; Antibiotic resistance; Rifampicin; Biochemical engineering; Computational biology; Bacteria; Biology; Pharmacology; Microbiology; Engineering","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":[0.001527427,0.002008158,0.0013719,0.001263964,0.0009158358,0.002262215,0.003544829,0.002265843,0.03259477],"category_scores_gemma":[0.004141544,0.0009765741,0.001976378,0.0009129121,0.000877559,0.001711505,0.002488115,0.002332869,0.005017352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029134,"about_ca_system_score_gemma":0.001994684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007912672,"about_ca_topic_score_gemma":0.0082951,"domain_scores_codex":[0.9994848,0.0001285211,0.00004133819,0.00007415132,0.0002048489,0.00006636335],"domain_scores_gemma":[0.9976467,0.001709617,0.0001038263,0.0001648333,0.0002185599,0.0001563981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009791243,0.0005503484,0.00553825,0.001827564,0.0005064879,0.001455041,0.0006953942,0.6018857,0.01201476,0.06862902,0.2213327,0.08458561],"study_design_scores_gemma":[0.0002901437,0.0000333286,0.0004644458,0.00009933244,0.00003458857,0.0001503997,0.00003910983,0.9109662,0.004519917,0.0183839,0.06494235,0.00007614194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01653177,0.0005387436,0.7945993,0.001105405,0.0004402073,0.0003179791,0.01902314,0.1518558,0.01558768],"genre_scores_gemma":[0.2335409,0.001465246,0.6469872,0.001287968,0.0002354155,0.002885476,0.04611812,0.05235276,0.01512695],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03259477,"threshold_uncertainty_score":0.1090404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731894893440726,"score_gpt":0.2438581900885793,"score_spread":0.2265392411541721,"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."}}