{"id":"W3122013602","doi":"10.1016/j.jhepr.2021.100234","title":"European ‘NAFLD Preparedness Index’ — Is Europe ready to meet the challenge of fatty liver disease?","year":2021,"lang":"en","type":"article","venue":"JHEP Reports","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Allergan; European Association for the Study of the Liver; National Institute for Health and Care Research; Generalitat de Catalunya; European Social Fund; Gilead Sciences; Centres de Recerca de Catalunya; NIHR Newcastle Biomedical Research Centre; Ministerio de Ciencia, Innovación y Universidades; Instituto de Salud Carlos III; European Commission; Pfizer","keywords":"Preparedness; Epidemiology; Medicine; Fatty liver; Environmental health; Disease; Index (typography); Metabolic syndrome; Obesity; Family medicine; Political science; Pathology; Computer science","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":[0.004858763,0.0004827857,0.0005758557,0.003115759,0.0002988307,0.001567941,0.0005036982,0.000502752,0.004332008],"category_scores_gemma":[0.01170669,0.0001375621,0.0009430831,0.004184626,0.0004478257,0.001434508,0.002259082,0.0005986546,0.0006933223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777725,"about_ca_system_score_gemma":0.001113197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321173,"about_ca_topic_score_gemma":0.001766111,"domain_scores_codex":[0.9977432,0.0008134893,0.0005261922,0.0002774909,0.0004051583,0.0002345496],"domain_scores_gemma":[0.9944084,0.001404574,0.002238802,0.0003336813,0.0009758718,0.0006385868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006315718,0.0001235286,0.7170085,0.002308481,0.0007326966,0.0004015547,0.002145219,0.002263022,0.0008541195,0.006737546,0.03612819,0.2306656],"study_design_scores_gemma":[0.0000627616,0.0001963477,0.8996121,0.001588037,0.0001942169,0.0006267048,0.002271923,0.001034521,0.0007743739,0.003231897,0.09034609,0.00006101859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557872,0.01851097,0.0138751,0.01081481,0.0008938434,0.0004011534,0.05798211,0.0003237027,0.04141093],"genre_scores_gemma":[0.9181815,0.005274842,0.01947748,0.001752116,0.0003215335,0.0005583913,0.05151528,0.00008904743,0.002829742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004858763,"threshold_uncertainty_score":0.02569592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927389385093348,"score_gpt":0.2767072236782721,"score_spread":0.2474333298273386,"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."}}