{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000737829,0.0005457066,0.0008448091,0.0003363777,0.0000481123,0.00005927443,0.0003824582,0.0003146854,0.00183075],"category_scores_gemma":[0.0002872419,0.000599234,0.0001037967,0.0003950133,0.00001636989,0.00009991309,0.0002450475,0.0007513323,0.0001046957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226395,"about_ca_system_score_gemma":0.0000749735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427126,"about_ca_topic_score_gemma":0.02008418,"domain_scores_codex":[0.99818,0.00003340489,0.0006552554,0.0005130761,0.0001634092,0.0004548959],"domain_scores_gemma":[0.9990159,0.0002459851,0.0001689498,0.0004032562,0.00006324159,0.0001027127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003830729,0.00006149761,0.000146735,0.003055992,0.00007382157,0.00005693078,0.0001873901,0.07281487,0.000169712,6.427298e-7,0.9232515,0.0001426036],"study_design_scores_gemma":[0.001034077,0.0001670816,0.00472222,0.007686575,0.0000440495,0.000003012922,0.0001290366,0.5562037,0.00001594631,0.000009482103,0.4289419,0.001042976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007889995,0.003550442,0.000007722632,0.00005666526,0.00007268161,0.0003530207,0.9950473,0.00006532416,0.00005780762],"genre_scores_gemma":[0.02958288,0.0004306673,0.00007053783,0.0001440881,0.00006410683,0.0001001212,0.9695062,0.0000919281,0.00000947207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4943096,"threshold_uncertainty_score":0.9996459,"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."}}