{"id":"W2543687813","doi":"10.1089/fpd.2016.2164","title":"Monitoring Seven Potentially Pathogenic <i>Escherichia coli</i> Serogroups in a Closed Herd of Beef Cattle from Weaning to Finishing Phases","year":2016,"lang":"en","type":"article","venue":"Foodborne Pathogens and Disease","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"Alberta Innovates; Government of Canada; U.S. Department of Agriculture","keywords":"Virulence; STX2; Pulsed-field gel electrophoresis; Feces; Microbiology; Biology; Herd; Escherichia coli; Polymerase chain reaction; Serotype; Beef cattle; Immunomagnetic separation; Shiga toxin; Weaning; Veterinary medicine; Virology; Gene; Animal science; Genotype; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109527,0.0002308413,0.0002714937,0.00006333973,0.00009403011,0.00003383221,0.000207745,0.00008551391,0.00001141386],"category_scores_gemma":[0.0006268937,0.0001924111,0.0001143579,0.0001892049,0.00007934281,0.0000142141,0.0003660876,0.00007638994,0.000003309223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002330382,"about_ca_system_score_gemma":0.0001821365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008598515,"about_ca_topic_score_gemma":0.000108569,"domain_scores_codex":[0.998367,0.0001219122,0.0003085293,0.0005501004,0.0002309583,0.0004214587],"domain_scores_gemma":[0.9989078,0.00006747554,0.00008908639,0.0003664328,0.0001075948,0.0004616299],"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":[0.0004382649,0.0001591661,0.08633278,0.00002919643,0.00006911082,0.00003425838,0.0001682618,0.00001917725,0.9026359,0.000007415282,0.0001084329,0.009998054],"study_design_scores_gemma":[0.004256765,0.001027299,0.832643,0.0006298748,0.0001677883,0.000002324438,0.0008013221,0.00004386528,0.1541953,0.0003766063,0.004926417,0.0009294198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929814,0.004639742,0.0009290433,0.0002621718,0.0001147424,0.0003201678,0.0006700032,0.00001704407,0.00006564353],"genre_scores_gemma":[0.9959058,0.0007944667,0.002689661,0.0001189552,0.0002378557,0.00009675515,0.00003342624,0.00003611398,0.00008701466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7484406,"threshold_uncertainty_score":0.7846298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146510459339021,"score_gpt":0.2610132841551669,"score_spread":0.2463622382212649,"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."}}