{"id":"W6965205757","doi":"10.3389/fmicb.2020.01317.s002","title":"Table_1_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":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","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":[0.0005441,0.001152619,0.0009544902,0.005053502,0.001598545,0.001233988,0.001662432,0.0005078345,0.3844585],"category_scores_gemma":[0.00485077,0.0005505059,0.0007666156,0.007232281,0.0003248844,0.0007839103,0.0006695368,0.0007099369,0.03682858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004144248,"about_ca_system_score_gemma":0.005675901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5396782,"about_ca_topic_score_gemma":0.661893,"domain_scores_codex":[0.9996005,0.00002842684,0.00004770825,0.00009546024,0.0001277073,0.0001002428],"domain_scores_gemma":[0.9960256,0.0009330728,0.0004213867,0.0001691423,0.002191427,0.000259499],"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":[0.0003951634,0.0000826391,0.0275716,0.003611879,0.00007780598,0.0001876764,0.0001841698,0.0007098792,0.00158848,0.0003485077,0.939329,0.02591321],"study_design_scores_gemma":[0.000467311,0.0001738131,0.3117155,0.001856744,0.0001181804,0.0004367885,0.0008678148,0.001722583,0.003205585,0.0007260544,0.6785762,0.0001334151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001225795,0.00005689286,0.0001452568,0.00007250654,0.00003802313,0.00008251324,0.9964195,0.000277614,0.001681915],"genre_scores_gemma":[0.01075884,0.0002921615,0.003329328,0.0002770768,0.00004261106,0.0002899606,0.9731659,0.0003222951,0.01152185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4603218,"threshold_uncertainty_score":0.9260654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066275088904851,"score_gpt":0.2272459580114157,"score_spread":0.1765832071223672,"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."}}