{"id":"W2133406453","doi":"10.1089/fpd.2014.1844","title":"Systematic Review of Expert Elicitation Methods as a Tool for Source Attribution of Enteric Illness","year":2015,"lang":"en","type":"review","venue":"Foodborne Pathogens and Disease","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Expert elicitation; Attribution; Context (archaeology); Computer science; Data science; Variety (cybernetics); Management science; Knowledge management; Psychology; Artificial intelligence; Social psychology; Engineering; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001956094,0.0002688004,0.002343887,0.0001477531,0.00004373951,0.00001397603,0.0001367721,0.0001168394,0.00006050447],"category_scores_gemma":[0.0009000878,0.0002334166,0.0005664633,0.0001348226,0.00005036842,0.0001000066,0.00006046566,0.00004846867,0.00003416252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136548,"about_ca_system_score_gemma":0.00007833004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009788128,"about_ca_topic_score_gemma":1.260054e-7,"domain_scores_codex":[0.9975075,0.0001695064,0.00171549,0.0004029053,0.00004929015,0.0001553395],"domain_scores_gemma":[0.9973789,0.0001535656,0.001852654,0.000397827,0.00005472673,0.0001622798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001180056,0.00009961591,0.00003602879,0.9012439,0.0001730494,3.267203e-7,0.00009314476,0.00000181426,6.703864e-7,0.004294085,0.0001177526,0.09392779],"study_design_scores_gemma":[0.001030361,0.0004208901,0.000178043,0.4671841,0.004037545,0.0000125529,0.0001550195,0.0005661362,0.00000405381,0.0065404,0.5186629,0.001208011],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008861636,0.965423,0.02986014,0.00001890761,0.0001237251,0.002381641,0.002048584,0.000008511066,0.00004690501],"genre_scores_gemma":[0.0001446665,0.9960186,0.001768136,0.00009148588,0.00004091174,0.0009389079,0.0008353424,0.0000378072,0.0001241202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5185452,"threshold_uncertainty_score":0.9518454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440368741202074,"score_gpt":0.3428137724320626,"score_spread":0.1987768983118553,"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."}}