{"id":"W2267337277","doi":"10.1155/2000/364050","title":"How Novel Methods Can Help Discover More Information about Foodborne Pathogens","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Foodborne pathogen; Computational biology; Computer science; Data science; Biology; Listeria monocytogenes; Bacteria; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009197513,0.001572372,0.002242162,0.004800012,0.0008946157,0.007670156,0.001776676,0.003599752,0.01420482],"category_scores_gemma":[0.02150981,0.0008447688,0.002013118,0.002172297,0.003557644,0.0111771,0.002215816,0.004509765,0.008902309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369605,"about_ca_system_score_gemma":0.001632742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336989,"about_ca_topic_score_gemma":0.001710351,"domain_scores_codex":[0.9955972,0.001964496,0.0002810928,0.0007969931,0.001189972,0.0001704035],"domain_scores_gemma":[0.9897947,0.006367956,0.0006864392,0.001563166,0.001167328,0.000420403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003070696,0.0004300272,0.005128051,0.00408043,0.0007680263,0.0008799257,0.0008182317,0.008761873,0.04431355,0.2354955,0.03751335,0.661504],"study_design_scores_gemma":[0.00009651735,0.0002670267,0.001919128,0.001349693,0.0002977884,0.002186872,0.0008289976,0.02599113,0.0164606,0.6029463,0.3473089,0.0003470209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007676767,0.03842451,0.8747114,0.04202758,0.004244471,0.000400578,0.001462799,0.003070688,0.02798129],"genre_scores_gemma":[0.05495544,0.04862455,0.8716187,0.008570029,0.001435703,0.0005606455,0.00156694,0.0002614518,0.01240644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01420482,"threshold_uncertainty_score":0.04864168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004008262495805483,"score_gpt":0.2084342605110234,"score_spread":0.2044259980152179,"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."}}