{"id":"W3207784675","doi":"10.1096/fasebj.30.1_supplement.100.2","title":"The Ying And Yang Of Antibiotic Discovery And Resistance","year":2016,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Antibiotics; Antibiotic resistance; Drug discovery; Resistance (ecology); Antimicrobial; Drug resistance; Biotechnology; Biology; Computational biology; Microbiology; Bioinformatics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004436949,0.0005940481,0.0009151968,0.001203448,0.001317063,0.004175432,0.0008422225,0.001975023,0.00762587],"category_scores_gemma":[0.004389724,0.000342509,0.0004756335,0.001088477,0.01013896,0.005424447,0.004140441,0.005318894,0.002057122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058172,"about_ca_system_score_gemma":0.004438716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00058772,"about_ca_topic_score_gemma":0.0009728451,"domain_scores_codex":[0.9968007,0.001296549,0.000163258,0.0003644749,0.001023991,0.0003511483],"domain_scores_gemma":[0.9962727,0.001298889,0.0004857151,0.0004906126,0.0004997193,0.0009522623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004691572,0.0001222363,0.003209162,0.0015219,0.0001704861,0.0006318068,0.001507244,0.000733448,0.0177284,0.5533076,0.08241633,0.3381823],"study_design_scores_gemma":[0.0001510482,0.0003695048,0.003239947,0.000659537,0.00006482678,0.000655376,0.0009076534,0.000703098,0.007197746,0.3199518,0.6660225,0.00007691134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.02875208,0.2892361,0.0549226,0.4919894,0.01846134,0.00013592,0.0003331843,0.0009180209,0.1152513],"genre_scores_gemma":[0.5160013,0.2656435,0.04141433,0.07355861,0.01474036,0.0003788396,0.0002497102,0.0003868843,0.08762654],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00762587,"threshold_uncertainty_score":0.02551109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007967745777223468,"score_gpt":0.2115899670704479,"score_spread":0.2036222212932245,"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."}}