{"id":"W6960891441","doi":"10.1371/journal.pone.0235291.t002","title":"Spatial and space time clusters of major nontyphoidal <i>Salmonella enterica</i> serotypes identified by the multinomial scan statistic in Toronto, Canada, 2015–2017<sup>1</sup>.","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scan statistic; Multinomial distribution; Statistic; Space (punctuation); Space time","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008838734,0.0005979423,0.0005937785,0.00004823564,0.0001768697,0.00007831721,0.0008659677,0.0004606055,0.004047507],"category_scores_gemma":[0.0002255071,0.0005695729,0.000121134,0.0001240388,0.00008957532,0.00001681317,0.0005685047,0.0003367233,0.00007093076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002969266,"about_ca_system_score_gemma":0.00056891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03073567,"about_ca_topic_score_gemma":0.4185782,"domain_scores_codex":[0.9973961,0.0001244951,0.0006054968,0.0009427923,0.0003243271,0.0006067547],"domain_scores_gemma":[0.9981764,0.00008013623,0.0005322176,0.0008391989,0.0001505585,0.0002214869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001322142,0.00005073953,0.00000171319,0.0001654484,0.00006457898,0.00001016739,0.00001620632,0.00002076858,0.1948311,0.00000125384,0.804406,0.0002997518],"study_design_scores_gemma":[0.0006477045,0.0002259564,0.00009633511,0.0002522112,0.00006965028,0.00002121399,0.00001161028,0.0003325405,0.02162469,0.000003479909,0.9761365,0.0005781169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006073589,0.002704785,0.0001795187,0.0001747318,0.00005552704,0.001129339,0.9950128,0.0000226982,0.0001133037],"genre_scores_gemma":[0.00903852,0.0004563194,0.0004655748,0.0002726192,0.0002575422,0.0004527589,0.9880381,0.00007554656,0.0009430419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3878426,"threshold_uncertainty_score":0.9996756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00609418775369711,"score_gpt":0.263015446787196,"score_spread":0.2569212590334988,"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."}}