{"id":"W6923498967","doi":"10.1371/journal.pone.0235291.t001","title":"Spatial and space-time clusters of 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":"Colonial History and Postcolonial Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serotype; Outbreak; Cluster (spacecraft); Molecular epidemiology","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":[0.0007304111,0.001028477,0.001214876,0.003478013,0.001154889,0.001734402,0.002119184,0.001117837,0.05078319],"category_scores_gemma":[0.008584374,0.0006915475,0.001591735,0.01036982,0.0005322727,0.000935187,0.001538362,0.001148199,0.01166622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007197113,"about_ca_system_score_gemma":0.01563745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9138111,"about_ca_topic_score_gemma":0.954708,"domain_scores_codex":[0.9993298,0.00006451382,0.0001045233,0.0001399686,0.0001531209,0.000208157],"domain_scores_gemma":[0.9951917,0.0008824795,0.0005816652,0.000423327,0.002394876,0.000525912],"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":[0.0001020751,0.000008436221,0.01031071,0.001877708,0.0001305344,0.00002795378,0.0001433226,0.0004097775,0.00005256386,0.0006095919,0.9844351,0.001892205],"study_design_scores_gemma":[0.0007023514,0.00003012595,0.3197129,0.003313324,0.0003786817,0.0001528217,0.001316924,0.0009158922,0.0002058325,0.001097762,0.6720481,0.0001252353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002812114,0.0001190067,0.00001297361,0.00006812315,0.00001597086,0.000004546737,0.9991508,0.00002366713,0.000323731],"genre_scores_gemma":[0.006005303,0.0003970781,0.0002150566,0.00006919728,0.00001806659,0.00007437773,0.9916934,0.00003752624,0.001489956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08618885,"threshold_uncertainty_score":0.1733928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569913384568561,"score_gpt":0.2428895777823839,"score_spread":0.2271904439366983,"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."}}