{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091523,0.0008184828,0.0009033913,0.001302235,0.0003147724,0.000813902,0.0004923213,0.0006551108,0.0007278687],"category_scores_gemma":[0.001424676,0.0002962067,0.0006863617,0.001061127,0.0003177401,0.0004107446,0.0006049296,0.0004075459,0.0006221677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903866,"about_ca_system_score_gemma":0.000343709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008001522,"about_ca_topic_score_gemma":0.001374552,"domain_scores_codex":[0.9979447,0.000347326,0.0001409745,0.0004895415,0.0009306084,0.0001468909],"domain_scores_gemma":[0.999082,0.0003348198,0.0001840486,0.0000665862,0.0002849905,0.00004755721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001030174,0.00021301,0.0144737,0.0003070089,0.00006112404,0.0001130182,0.0002010783,0.0004918302,0.97233,0.00005433292,0.0001742865,0.01147758],"study_design_scores_gemma":[0.00002469947,0.002573957,0.1068897,0.00009469539,0.0002455779,0.0007259526,0.0006261434,0.009086884,0.8736572,0.0002400366,0.005744223,0.00009093861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476767,0.00174431,0.03935971,0.0001848967,0.00006461372,0.0005486164,0.007793523,0.0004878972,0.002139792],"genre_scores_gemma":[0.8939239,0.002757375,0.08520433,0.0002744105,0.00005984568,0.0009901928,0.0109676,0.00008266221,0.005739625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001302235,"threshold_uncertainty_score":0.005772591,"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."}}