{"id":"W2602070473","doi":"10.4315/0362-028x.jfp-16-427","title":"Limitations of Immunomagnetic Separation for Detection of the Top Seven Serogroups of Shiga Toxin–Producing Escherichia coli","year":2017,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"Alberta Innovates; Government of Alberta","keywords":"Immunomagnetic separation; Escherichia coli; Microbiology; Biology; Toxin; Polymerase chain reaction; Shiga toxin; Gene; 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":[0.004949986,0.0005759798,0.0006102357,0.001184649,0.0008460807,0.002106776,0.001183891,0.001085469,0.0007405787],"category_scores_gemma":[0.006430853,0.0005641298,0.0003955486,0.0004814108,0.000902903,0.0005480424,0.000792094,0.001056234,0.0006938062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006080153,"about_ca_system_score_gemma":0.0009483317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399256,"about_ca_topic_score_gemma":0.004123908,"domain_scores_codex":[0.995707,0.001308467,0.0002840476,0.0003576307,0.001959895,0.0003829444],"domain_scores_gemma":[0.9932822,0.004432188,0.0003338095,0.0004153885,0.001266177,0.000270272],"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":[0.000379713,0.00008726188,0.009267163,0.0003102075,0.00006865193,0.00006555575,0.000239418,0.00025392,0.9655954,0.0006962563,0.001012565,0.02202398],"study_design_scores_gemma":[0.00004947913,0.0005788027,0.04400971,0.0001571739,0.0002937605,0.001277838,0.0006287064,0.008591603,0.9231393,0.001482511,0.01974349,0.00004761026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9097229,0.01448482,0.06329548,0.0049281,0.0008842779,0.0001760952,0.000344131,0.0004787085,0.005685485],"genre_scores_gemma":[0.9382145,0.006942373,0.04907515,0.002155968,0.000402791,0.000156028,0.0005967524,0.000111221,0.002345216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004949986,"threshold_uncertainty_score":0.02617836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05838168224485969,"score_gpt":0.3039871395551295,"score_spread":0.2456054573102698,"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."}}