{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04878954,0.0009123763,0.00156157,0.002601161,0.001693174,0.004643748,0.002557056,0.00231022,0.0008810741],"category_scores_gemma":[0.05845495,0.0005329278,0.001162412,0.002344614,0.003693515,0.002211674,0.003845358,0.003175768,0.0008269787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005948186,"about_ca_system_score_gemma":0.0006433796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003364188,"about_ca_topic_score_gemma":0.008288995,"domain_scores_codex":[0.9615632,0.01817227,0.005264365,0.005366785,0.008922048,0.0007113911],"domain_scores_gemma":[0.9461425,0.02853969,0.003709368,0.01384065,0.007035688,0.0007321129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001797443,0.0004773988,0.5228588,0.002679174,0.002504422,0.003371399,0.01675762,0.002630403,0.1968808,0.0036578,0.0267997,0.2195851],"study_design_scores_gemma":[0.0001107528,0.003066055,0.7750803,0.002025496,0.001092284,0.01496418,0.01100352,0.005669159,0.07552151,0.01337603,0.09753818,0.0005525125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7166031,0.02761813,0.2025589,0.02500472,0.006174925,0.001085693,0.003115589,0.001782156,0.01605676],"genre_scores_gemma":[0.8683584,0.005334122,0.1020627,0.01307673,0.002393943,0.0008464056,0.00221589,0.0008154722,0.004896367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04878954,"threshold_uncertainty_score":0.2580268,"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."}}