{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001152134,0.0001263316,0.0002330033,0.0001595074,0.00008346648,0.00006813246,0.00007301371,0.0001802287,0.0003193538],"category_scores_gemma":[0.0001800682,0.00009977514,0.0001040852,0.0001213969,0.000177335,0.0001458493,0.000004811412,0.0002532969,0.000003201156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009408523,"about_ca_system_score_gemma":0.0002417496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006186513,"about_ca_topic_score_gemma":0.002396215,"domain_scores_codex":[0.9993141,0.00003547562,0.0002556768,0.00007170694,0.00004915981,0.0002739223],"domain_scores_gemma":[0.9988515,0.00004363328,0.00004818438,0.00006692614,0.00006670656,0.0009230842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003344624,0.00005356683,0.006102769,0.0001851019,0.0003884917,0.0001301726,0.0004229454,0.000817019,0.01161558,0.000509876,0.005401493,0.9743395],"study_design_scores_gemma":[0.003445801,0.0008388631,0.06997441,0.0003523356,0.000449764,0.006461451,0.0004681987,0.005493984,0.00127114,0.0006514319,0.9096933,0.0008992964],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818127,0.002482192,0.01140678,0.002554821,0.0008423046,0.00009575004,0.000410248,0.00003537805,0.0003598057],"genre_scores_gemma":[0.9982297,0.0005990634,0.0001529298,0.0007054813,0.0002378016,0.000001628148,0.00002130509,0.00001043433,0.0000416291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9734402,"threshold_uncertainty_score":0.4068712,"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."}}