{"id":"W3096338498","doi":"10.1128/aem.02001-20","title":"Analysis of Campylobacter jejuni Subtype Distribution in the Chicken Broiler Production Continuum: a Longitudinal Examination To Identify Primary Contamination Points","year":2020,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chinook Regional Hospital; Public Health Agency of Canada; University of Alberta; Alberta Health Services; Agriculture and Agri-Food Canada","funders":"Genome Alberta; Agriculture and Agri-Food Canada; Alberta Livestock and Meat Agency; Government of Canada; Canadian Poultry Research Council","keywords":"Contamination; Campylobacter jejuni; Broiler; Biology; Campylobacter; Microbiology; Food science; Bacteria; Genetics; Ecology","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":[0.0005843226,0.0001728729,0.0002005055,0.000769767,0.0004750605,0.0004514093,0.0001727367,0.0002873841,0.0007677854],"category_scores_gemma":[0.0009127021,0.0001975226,0.0001563651,0.0004068523,0.0002062847,0.0003067735,0.0003801256,0.0002864744,0.0002087618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525629,"about_ca_system_score_gemma":0.0002707674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00962723,"about_ca_topic_score_gemma":0.01386188,"domain_scores_codex":[0.9996881,0.00006951552,0.0000190168,0.00008686947,0.00005421438,0.00008217643],"domain_scores_gemma":[0.9990584,0.00009119581,0.0002602033,0.00006337972,0.0002943452,0.0002324768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001729868,0.00008354866,0.9807539,0.000008094421,0.00001466253,0.0001026441,0.0003703301,0.0000414959,0.0159385,0.00001216685,0.00005133161,0.002450241],"study_design_scores_gemma":[9.176504e-7,0.0001480661,0.9988657,0.000003295667,0.000004398837,0.00008152767,0.0002466927,0.0001033866,0.0004586316,0.000004743041,0.00008110557,0.000001552231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992719,0.0000478487,0.0002999109,0.000009598183,0.000001077987,0.00001281867,0.0001443155,0.000003865341,0.000208684],"genre_scores_gemma":[0.9988835,0.0000404827,0.0004112847,0.00001546289,0.000001336759,0.00001729632,0.0002897709,0.000001978902,0.000338936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00962723,"threshold_uncertainty_score":0.01914239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499530446514408,"score_gpt":0.2097070094706398,"score_spread":0.1947117050054958,"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."}}