{"id":"W4414201278","doi":"10.1094/phyto-06-25-0220-fi","title":"Expert Knowledge Elicitation: Accessing the Big Data in Experts’ Brains","year":2025,"lang":"en","type":"article","venue":"Phytopathology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biopterre","funders":"Animal and Plant Health Inspection Service; National Institute of Food and Agriculture; United States Agency for International Development","keywords":"Subject-matter expert; Expert elicitation; Expert system; Big data; Legal expert system; Scalability; Knowledge base; Domain knowledge","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":[],"consensus_categories":[],"category_scores_codex":[0.04706718,0.00183607,0.001648903,0.005480636,0.003538614,0.01347849,0.004557666,0.004939178,0.01843835],"category_scores_gemma":[0.1507708,0.001119882,0.001842018,0.0065328,0.008586849,0.01532585,0.01469628,0.004831918,0.005306919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004625727,"about_ca_system_score_gemma":0.00707984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785283,"about_ca_topic_score_gemma":0.00517916,"domain_scores_codex":[0.9583201,0.03029853,0.002007489,0.00315864,0.005308673,0.0009066976],"domain_scores_gemma":[0.7887821,0.1788684,0.004816369,0.0153937,0.01038766,0.001751618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005431897,0.0001922163,0.004272783,0.005610367,0.0003510245,0.001445222,0.0328925,0.01156357,0.006436923,0.232278,0.1077138,0.5967005],"study_design_scores_gemma":[0.0001161689,0.000086552,0.002349153,0.002472044,0.00008995239,0.0004074553,0.01092452,0.0291407,0.00437266,0.7673029,0.1825025,0.0002353724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01577016,0.004726282,0.865845,0.05182361,0.001245556,0.001734395,0.004382324,0.002847604,0.05162507],"genre_scores_gemma":[0.1977838,0.005812724,0.7667497,0.01136071,0.001224316,0.003415461,0.005251178,0.0008594476,0.007542657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04706718,"threshold_uncertainty_score":0.248918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218385030404854,"score_gpt":0.3629233029684759,"score_spread":0.2410847999279905,"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."}}