{"id":"W4406253579","doi":"10.5376/mp.2024.15.0016","title":"Microbial Warriors: Using Predatory Bacteria to Combat Pathogens","year":2024,"lang":"en","type":"article","venue":"Molecular Pathogens","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bacteria; Biology; Microbiology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958189,0.000689534,0.0003596674,0.0004255038,0.0005204942,0.001557586,0.0005086491,0.0009448305,0.003305236],"category_scores_gemma":[0.0007769432,0.0002908219,0.0003309128,0.0002130319,0.0008462524,0.001254637,0.001255542,0.00110708,0.00125378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105882,"about_ca_system_score_gemma":0.0006056261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006748945,"about_ca_topic_score_gemma":0.001029827,"domain_scores_codex":[0.9997378,0.00007467621,0.000009259778,0.00004588399,0.00008732748,0.00004500887],"domain_scores_gemma":[0.9997621,0.00007163698,0.00003516815,0.00002335928,0.00003277298,0.00007493157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007740349,0.0003125395,0.00586179,0.0007154605,0.0001052368,0.0003716402,0.0005334577,0.003153706,0.7825593,0.01550678,0.004582694,0.1855234],"study_design_scores_gemma":[0.0002414789,0.003243265,0.008016149,0.0003807759,0.0002372604,0.00225608,0.0014594,0.04449763,0.7624844,0.03140827,0.1456507,0.0001246289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7089958,0.02435361,0.2124427,0.01397447,0.001157949,0.000440831,0.0005207,0.004798211,0.03331594],"genre_scores_gemma":[0.7988022,0.01238906,0.1654972,0.002338212,0.0001931738,0.0001854304,0.0006271756,0.0001957523,0.01977182],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003305236,"threshold_uncertainty_score":0.01105708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556292883619336,"score_gpt":0.2764762078615375,"score_spread":0.2609132790253442,"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."}}