{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007728093,0.001431563,0.001925426,0.001231375,0.008993772,0.009694477,0.002346433,0.1035622,0.03091603],"category_scores_gemma":[0.02908434,0.001154488,0.001889878,0.0007874761,0.002602825,0.003959065,0.003477381,0.04851354,0.01905206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007020985,"about_ca_system_score_gemma":0.01438989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195729,"about_ca_topic_score_gemma":0.02104304,"domain_scores_codex":[0.9931933,0.001342831,0.0005149099,0.0009310875,0.001741961,0.002275862],"domain_scores_gemma":[0.9817904,0.006632003,0.001138563,0.0004958347,0.003957194,0.005986007],"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":[0.0000285706,0.00001455921,0.0001897023,0.00003419202,0.000005153535,0.0004428465,0.00005600529,0.00001901331,0.0000770987,0.001116107,0.9959442,0.00207255],"study_design_scores_gemma":[0.00008498896,0.00003059221,0.001584077,0.0005833694,0.00003147376,0.0004276243,0.0005234955,0.0001940538,0.0001637484,0.003385677,0.9929323,0.00005850103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003247504,0.0008484549,0.000077251,0.9512836,0.03529795,0.00004347159,0.0001490781,0.00002364411,0.01195194],"genre_scores_gemma":[0.002359379,0.0005951761,0.0001331406,0.9321537,0.02599052,0.00009388124,0.00006562185,0.00003743773,0.03857114],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1035622,"threshold_uncertainty_score":0.1034244,"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."}}