{"id":"W6908814720","doi":"10.3389/fmicb.2020.01317.s003","title":"Table_2_Source Tracking Based on Core Genome SNV and CRISPR Typing of Salmonella enterica Serovar Heidelberg Isolates Involved in Foodborne Outbreaks in Québec, 2012.DOCX","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Fluid dynamics and aerodynamics studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; CRISPR; Subtyping; Typing; Serotype; Salmonella enterica; Genome; Context (archaeology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004967969,0.001145489,0.0009011676,0.004783019,0.00153537,0.001234397,0.001601287,0.0005128217,0.3947064],"category_scores_gemma":[0.004445821,0.0005426797,0.0008112913,0.006507253,0.0003181927,0.0007888704,0.0006803439,0.000696086,0.0354437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003924657,"about_ca_system_score_gemma":0.005235563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5319977,"about_ca_topic_score_gemma":0.6527857,"domain_scores_codex":[0.9996427,0.00002533322,0.00004246605,0.00008431813,0.0001154984,0.00008976596],"domain_scores_gemma":[0.9963522,0.0008669997,0.0003773964,0.0001477595,0.002014122,0.0002415599],"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":[0.0003935068,0.0000745502,0.02731427,0.00364296,0.00008176267,0.0002100942,0.0001888109,0.0007413289,0.001469364,0.0003573069,0.9411294,0.02439671],"study_design_scores_gemma":[0.0005155646,0.0001506306,0.3037832,0.001911461,0.0001234539,0.0004580275,0.0009061369,0.001865915,0.003117333,0.0007827432,0.6862494,0.0001361727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001317254,0.00006218574,0.0001594813,0.00008250789,0.00004249605,0.00008260969,0.996031,0.0003164166,0.001906032],"genre_scores_gemma":[0.01167652,0.0002887475,0.003493256,0.0003140662,0.00004470595,0.0002854296,0.9713013,0.0003514845,0.01224452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4680023,"threshold_uncertainty_score":0.9415168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363336031065654,"score_gpt":0.2219184402667857,"score_spread":0.1982850799561292,"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."}}