{"id":"W2884337696","doi":"10.3390/microorganisms6030074","title":"Variability in Characterizing Escherichia coli from Cattle Feces: A Cautionary Tale","year":2018,"lang":"en","type":"article","venue":"Microorganisms","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Alberta Innovates; Alberta Innovates Bio Solutions; Alberta Livestock and Meat Agency","keywords":"STX2; Serotype; Escherichia coli; Biology; Feces; Microbiology; Immunomagnetic separation; Polymerase chain reaction; Primer (cosmetics); Virulence; Shiga toxin; Gene; Chemistry; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018888,0.0001734601,0.000181444,0.00003264084,0.0001412103,0.00003392782,0.0002628495,0.0001527174,0.0002794517],"category_scores_gemma":[0.0004028618,0.0001749024,0.00004892778,0.000195721,0.0002829813,0.000007362807,0.0003767592,0.0001503406,0.0001041346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006401086,"about_ca_system_score_gemma":0.0001919414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003738616,"about_ca_topic_score_gemma":0.0003380385,"domain_scores_codex":[0.9986253,0.0001841479,0.0002135735,0.0004881105,0.0001248418,0.0003639705],"domain_scores_gemma":[0.9992875,0.00003950556,0.00005667978,0.0004047257,0.0001117541,0.00009977789],"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":[0.00005415396,0.0001123605,0.01765721,0.0000116762,0.0000370737,0.000003454356,0.0002858387,2.828442e-7,0.9805564,0.00001780722,0.001083427,0.0001803573],"study_design_scores_gemma":[0.0004301767,0.0001571562,0.1873868,0.00001506578,0.000008244285,0.00000227615,0.0001227064,0.00002162626,0.7884491,0.00018496,0.02299707,0.0002247696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973646,0.000251676,0.0004971369,0.0003905497,0.0001854049,0.0002212151,0.00008021642,0.00002357285,0.0009856594],"genre_scores_gemma":[0.9955817,0.00006884423,0.002755639,0.0005696528,0.000386203,0.0000404575,0.0001526117,0.00002923943,0.0004156474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1921072,"threshold_uncertainty_score":0.7132314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009948978353663,"score_gpt":0.2555636526730434,"score_spread":0.2454641628895068,"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."}}