{"id":"W2986185388","doi":"10.3389/fmicb.2019.02578","title":"Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases","year":2019,"lang":"en","type":"review","venue":"Frontiers in Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Subtyping; Attribution; Population; Data science; Genotyping; Computer science; Biology; Computational biology; Data mining; Biotechnology; Environmental health; Genetics; Medicine; Psychology; Genotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2813251,0.00297356,0.004751679,0.0187169,0.002726858,0.01709571,0.008915596,0.008603606,0.005231593],"category_scores_gemma":[0.3943128,0.001801286,0.004369933,0.008062655,0.01697231,0.02976592,0.008392369,0.02496708,0.00249598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008207815,"about_ca_system_score_gemma":0.01293102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968604,"about_ca_topic_score_gemma":0.00295527,"domain_scores_codex":[0.8537991,0.09679782,0.01554563,0.01002169,0.0223304,0.001505407],"domain_scores_gemma":[0.3701186,0.5326539,0.01102345,0.02156372,0.06106528,0.003575003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000618573,0.0001436373,0.005744432,0.01913837,0.0009091863,0.0003935243,0.003992568,0.002115904,0.0009752238,0.3760826,0.136396,0.4534899],"study_design_scores_gemma":[0.0001030055,0.0002130302,0.003608139,0.0446874,0.000314463,0.0008534886,0.002646659,0.003642132,0.001033186,0.4390711,0.5034895,0.0003378987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002433576,0.4855403,0.1642266,0.3144567,0.0245096,0.0006353275,0.001680703,0.0006560888,0.0058611],"genre_scores_gemma":[0.04099274,0.3786782,0.415415,0.09903113,0.05505836,0.00364535,0.002271801,0.001353783,0.003553629],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2813251,"threshold_uncertainty_score":0.8862541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390358506266017,"score_gpt":0.4069837310766857,"score_spread":0.2679478804500839,"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."}}