{"id":"W4393217639","doi":"10.1186/s42522-024-00096-7","title":"Correction: The One Health High-Level Expert Panel (OHHLEP)","year":2024,"lang":"en","type":"erratum","venue":"One Health Outlook","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"World Health Organization","keywords":"Computer science; Data science; Psychology","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":[0.01467427,0.002896781,0.003557739,0.005696333,0.004553537,0.008712954,0.006332668,0.02495508,0.07014348],"category_scores_gemma":[0.1592271,0.002059406,0.003199586,0.003615462,0.003409297,0.003199535,0.003839397,0.02698011,0.05736172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007850264,"about_ca_system_score_gemma":0.01469316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03686401,"about_ca_topic_score_gemma":0.03910217,"domain_scores_codex":[0.9855215,0.00273366,0.002307019,0.001676337,0.006419034,0.00134243],"domain_scores_gemma":[0.9228076,0.02284415,0.005068771,0.004847444,0.04090777,0.003524262],"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":[0.000008847853,0.000001701542,0.00001489462,0.00004107277,0.000005068863,0.00003416205,0.000007448465,0.000005882025,0.000004828981,0.0001161213,0.9988412,0.0009187799],"study_design_scores_gemma":[0.00008619938,0.00001051595,0.0005192549,0.0009970465,0.00006098453,0.0001472955,0.000063797,0.0001004693,0.0001084318,0.0009521,0.9969159,0.00003794952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003510942,0.0008090297,0.0002130204,0.1252878,0.8700579,0.00004331868,0.001193956,0.0001499462,0.002209977],"genre_scores_gemma":[0.003169067,0.00528325,0.002206126,0.4423606,0.4311288,0.0006576675,0.002276516,0.0008820487,0.112036],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07014348,"threshold_uncertainty_score":0.2346533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136503272280899,"score_gpt":0.3547422312713134,"score_spread":0.2410919040432234,"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."}}