{"id":"W6960958412","doi":"10.1371/journal.pone.0235291.t003","title":"Demographic and seasonal factors for nontyphoidal <i>Salmonella enterica</i> infections with major serotypes in the city of Toronto, Ontario, Canada, 2015–2017<sup>1</sup>.","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serotype; Outbreak; Seasonality; Epidemiology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006861779,0.001216633,0.001429662,0.00308707,0.001379152,0.00155883,0.002194448,0.001235048,0.07585055],"category_scores_gemma":[0.008298988,0.000823128,0.001753841,0.009508491,0.000473295,0.0012464,0.001309865,0.001185504,0.01557374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009075426,"about_ca_system_score_gemma":0.02039064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9504973,"about_ca_topic_score_gemma":0.9671329,"domain_scores_codex":[0.999265,0.00005004295,0.0001211121,0.0001471291,0.0001889941,0.0002276214],"domain_scores_gemma":[0.9952252,0.0006680232,0.0005163014,0.0003260607,0.002769483,0.0004947903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008008986,0.000006645761,0.008152405,0.001833388,0.00008277305,0.00002219024,0.0001010078,0.000307919,0.00003638607,0.0004265616,0.9868469,0.002103623],"study_design_scores_gemma":[0.0007713118,0.00003460814,0.283626,0.005194495,0.0004705576,0.000190136,0.001057649,0.0009238739,0.0002406341,0.001019645,0.7063314,0.0001396047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001661297,0.0001161325,0.0000130968,0.00006854151,0.00001804295,0.000005627652,0.999164,0.00002115691,0.0004272896],"genre_scores_gemma":[0.005685809,0.0005463884,0.0002159606,0.0001222691,0.00002494213,0.0001174522,0.9911227,0.00004515217,0.002119188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07585055,"threshold_uncertainty_score":0.2537454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320724349146906,"score_gpt":0.2431190275416567,"score_spread":0.2199117840501876,"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."}}