{"id":"W4389430461","doi":"10.1186/s42522-023-00085-2","title":"The One Health High-Level Expert Panel (OHHLEP)","year":2023,"lang":"en","type":"letter","venue":"One Health Outlook","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"World Health Organization","keywords":"Panel data; Computer science; Econometrics; Economics","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003000153,0.0008492933,0.002381307,0.0003960001,0.00132623,0.0001604943,0.0006944652,0.0009785583,0.0007690731],"category_scores_gemma":[0.0004752704,0.0006560364,0.0004660541,0.0006576967,0.0002619644,0.00009527915,0.0002273964,0.004191197,0.002167651],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878705,"about_ca_system_score_gemma":0.01546992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02581435,"about_ca_topic_score_gemma":0.0006778216,"domain_scores_codex":[0.9900568,0.0008908489,0.002156918,0.001357982,0.002202738,0.003334769],"domain_scores_gemma":[0.9930485,0.00105419,0.001152957,0.002392325,0.0003094298,0.002042632],"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":[0.00009742023,0.0002693053,0.00001957503,0.003552187,0.0002261825,0.0001311297,0.0005586246,3.528877e-7,3.057507e-7,0.001273539,0.903781,0.09009038],"study_design_scores_gemma":[0.001759387,0.001191183,0.00665842,0.00193815,0.00006890176,0.0000421986,0.0003148978,0.00002996053,5.307033e-7,0.000526334,0.9869672,0.0005028098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0000461032,0.009857531,0.0002561134,0.9789232,0.003514032,0.003261102,0.0008770677,0.0006751606,0.002589715],"genre_scores_gemma":[0.0002933941,0.01721732,0.00106248,0.8925731,0.01619937,0.0004501995,0.003288931,0.0003879994,0.06852725],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08958757,"threshold_uncertainty_score":0.9999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2023935153019859,"score_gpt":0.3645691288151874,"score_spread":0.1621756135132014,"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."}}