{"id":"W4293242985","doi":"10.1089/ipm.09.04.05","title":"Fighting Antibiotic Resistance with Biology","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Antibiotic resistance; Resistance (ecology); Library science; Volume (thermodynamics); Download; Biology; Antibiotics; World Wide Web; Computer science; Microbiology; Physics; Ecology","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":[0.001562361,0.0006684586,0.0005902209,0.0006848798,0.0007828018,0.002597289,0.0004974764,0.002705903,0.004976307],"category_scores_gemma":[0.001726908,0.0002847676,0.000392975,0.0003658709,0.005035693,0.004174665,0.002015996,0.004142168,0.00116411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009282141,"about_ca_system_score_gemma":0.0008972235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002467042,"about_ca_topic_score_gemma":0.0004193822,"domain_scores_codex":[0.9992073,0.0002207856,0.00002677501,0.00009801106,0.0003620684,0.00008498879],"domain_scores_gemma":[0.9990478,0.0004942882,0.0001349336,0.00009521077,0.0001056614,0.000122045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003706591,0.0003125152,0.001836115,0.001897249,0.0001319418,0.0004123899,0.0006955789,0.002339157,0.1148548,0.4911585,0.04583738,0.3401537],"study_design_scores_gemma":[0.00007217998,0.0007645265,0.001576116,0.0005805937,0.00006333909,0.0006641315,0.0006814193,0.002358722,0.03048861,0.2855714,0.677119,0.00005997591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.04597072,0.5803098,0.06692523,0.1598687,0.01609829,0.00008135456,0.0001583204,0.0005477403,0.1300398],"genre_scores_gemma":[0.5935037,0.2580605,0.03604217,0.03896837,0.01387616,0.0001627307,0.0001070694,0.0001171225,0.05916221],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.004976307,"threshold_uncertainty_score":0.0166474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342206827192974,"score_gpt":0.2611564990372676,"score_spread":0.2477344307653379,"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."}}