{"id":"W4411429166","doi":"10.3390/microbiolres16060131","title":"Genotypic Characterisation and Risk Assessment of Virulent ESBL-Producing E. coli in Chicken Meat in Tunisia: Insights from Multi-Omics Machine Learning Perspective","year":2025,"lang":"en","type":"article","venue":"Microbiology Research","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"International Development Research Centre; United States Agency for International Development","keywords":"Virulence; Biology; Colistin; Cephalosporin; Antibiotic resistance; Escherichia coli; Microbiology; Antibiotics; MacConkey agar; Gene; Genotype; Antimicrobial; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009262763,0.0006780347,0.0007206584,0.001840141,0.0002851257,0.001504055,0.0003884899,0.0008478432,0.0003288121],"category_scores_gemma":[0.0009408488,0.0002848863,0.0006658092,0.001425887,0.0002978849,0.0004239197,0.0004699797,0.0002808965,0.000116393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008623489,"about_ca_system_score_gemma":0.0005123988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860237,"about_ca_topic_score_gemma":0.01778271,"domain_scores_codex":[0.9994534,0.0001585625,0.00005067852,0.000165876,0.00009425615,0.00007736548],"domain_scores_gemma":[0.9995342,0.0001166069,0.0001997716,0.00002334786,0.00009622909,0.00002972249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004481704,0.0002962345,0.8417469,0.0003701843,0.0004154416,0.00128363,0.0007008929,0.02294492,0.06378559,0.0001993967,0.0004530059,0.06735566],"study_design_scores_gemma":[0.00001099419,0.0003025469,0.9199038,0.0001170318,0.0001947492,0.0009886689,0.002287145,0.06540768,0.008512827,0.0005203779,0.001702158,0.00005208317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995032,0.001074458,0.002475777,0.0002225048,0.0000047898,0.0000152913,0.000825638,0.00002093424,0.0003286871],"genre_scores_gemma":[0.9935679,0.0008391495,0.004054305,0.00006753261,0.000009739968,0.00001413651,0.001038688,0.00000787558,0.0004006891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01860237,"threshold_uncertainty_score":0.0369882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178008551827336,"score_gpt":0.3410950892675451,"score_spread":0.3193150037492717,"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."}}