{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004516382,0.0003265299,0.0002464128,0.000196683,0.0001189347,0.0001941868,0.0004321737,0.0003335628,0.0001066338],"category_scores_gemma":[0.0001906467,0.0003086692,0.0002633152,0.0002968061,0.0001541968,0.000007348601,0.0004829847,0.0002047371,0.0002615328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006047357,"about_ca_system_score_gemma":0.0003254437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273079,"about_ca_topic_score_gemma":0.00001529871,"domain_scores_codex":[0.9976557,0.0001232586,0.0004317329,0.0006357436,0.0004275654,0.0007259892],"domain_scores_gemma":[0.9986308,0.00001318071,0.00004276102,0.0006659147,0.0001537542,0.0004935685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003539776,0.0000489297,0.00008231415,0.0001329493,0.0000908199,0.0001556599,0.00016223,0.00004959579,0.9890106,0.0000223656,0.002977342,0.007231808],"study_design_scores_gemma":[0.0003284856,0.0004554655,0.0004497984,0.0001039314,0.00005923082,0.0001271254,0.000117367,0.001229784,0.7842036,0.00004782859,0.2123281,0.0005492795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683377,0.001362018,0.02774232,0.000244069,0.0008130569,0.0004792667,0.0005352494,0.0000591855,0.000427182],"genre_scores_gemma":[0.9811949,0.0001531847,0.01548945,0.001158976,0.0005922938,0.00003117612,0.0004836429,0.0001021819,0.0007942678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2093508,"threshold_uncertainty_score":0.9999365,"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."}}