{"id":"W1970060902","doi":"10.1089/fpd.2006.3.36","title":"Building PulseNet International: An Interconnected System of Laboratory Networks to Facilitate Timely Public Health Recognition and Response to Foodborne Disease Outbreaks and Emerging Foodborne Diseases","year":2006,"lang":"en","type":"article","venue":"Foodborne Pathogens and Disease","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Outbreak; Public health; Warning system; Subtyping; Environmental health; Latin Americans; Disease; Early warning system; Disease surveillance; Medicine; Business; Geography; Political science; Computer science; Virology; Telecommunications; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008653962,0.0008586313,0.0005066997,0.002643489,0.001043175,0.002950149,0.002208857,0.0008664568,0.01007939],"category_scores_gemma":[0.01029372,0.0005779152,0.0003619429,0.001660548,0.0006780677,0.005735868,0.00589187,0.001109012,0.003415096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401411,"about_ca_system_score_gemma":0.006355218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378298,"about_ca_topic_score_gemma":0.00306731,"domain_scores_codex":[0.9971173,0.001015127,0.0002089355,0.0006814325,0.0006555673,0.0003216202],"domain_scores_gemma":[0.9907541,0.001756018,0.0009661096,0.001636059,0.002444873,0.00244293],"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":[0.001354671,0.001486339,0.06071688,0.0008322774,0.0002370711,0.0005879064,0.002317531,0.02966463,0.01578701,0.01531661,0.1226456,0.7490534],"study_design_scores_gemma":[0.0009158779,0.002853831,0.06109526,0.0006929277,0.000432522,0.0009728784,0.002808973,0.2406406,0.02664649,0.01955114,0.6429437,0.0004457217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1346916,0.001165259,0.7606372,0.003896507,0.001139486,0.006171793,0.004304918,0.03381961,0.05417366],"genre_scores_gemma":[0.3899831,0.001246627,0.5570484,0.00125944,0.0006869369,0.005485413,0.01776183,0.001255537,0.02527264],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01007939,"threshold_uncertainty_score":0.04576713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.046730974757969,"score_gpt":0.249176662214431,"score_spread":0.202445687456462,"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."}}