{"id":"W4283021984","doi":"10.3390/microorganisms10061225","title":"High Throughput Screening of Antimicrobial Resistance Genes in Gram-Negative Seafood Bacteria","year":2022,"lang":"en","type":"article","venue":"Microorganisms","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency; Public Health Agency of Canada; Texas Tech University","keywords":"Biology; Plasmid; Antibiotic resistance; Bacteria; Microbiology; Antimicrobial; Mobile genetic elements; Aeromonas; Pseudomonas; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002020461,0.000168069,0.0002253051,0.0000329302,0.0001783246,0.00001612878,0.0003269185,0.00003759354,0.005526315],"category_scores_gemma":[0.00001231019,0.0001703575,0.0000540599,0.0003402577,0.0002924459,0.0001637559,0.0007080741,0.0002104893,0.00009100104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885525,"about_ca_system_score_gemma":0.000008823891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003971583,"about_ca_topic_score_gemma":0.0001159306,"domain_scores_codex":[0.9986166,0.0001193251,0.0002860842,0.0003576021,0.0002549047,0.0003654977],"domain_scores_gemma":[0.9995712,0.00003789393,0.000110438,0.0001955978,0.000002047155,0.00008279101],"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":[0.00006610993,0.0002312444,0.0111858,0.00001266017,0.00001031055,0.00002673568,0.0004101413,0.0004277653,0.9859911,0.00003454214,0.0006745291,0.0009290938],"study_design_scores_gemma":[0.0007577417,0.00006367231,0.06872994,0.000016508,0.0000113354,0.0000138005,0.0001874577,0.00001780042,0.9267125,0.0002985851,0.002978832,0.0002118139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979885,0.00004360519,0.0001902597,0.0005536618,0.0001287726,0.0002134783,0.0001166164,0.00002171691,0.0007433669],"genre_scores_gemma":[0.9877215,0.0000232065,0.01095538,0.0006205493,0.00001966997,0.000003645387,0.00001948195,0.00002424755,0.0006123051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05927855,"threshold_uncertainty_score":0.9953828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602102543983928,"score_gpt":0.2385231713614156,"score_spread":0.2225021459215764,"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."}}