{"id":"W4379745819","doi":"10.1016/j.pnpbp.2023.110807","title":"Evaluation of electroretinography (ERG) parameters as a biomarker for ADHD","year":2023,"lang":"en","type":"article","venue":"Progress in Neuro-Psychopharmacology and Biological Psychiatry","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Erg; Scotopic vision; Electroretinography; Audiology; Retina; Retinal; Ophthalmology; Medicine; Psychology; Neuroscience","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":[0.001150014,0.001060937,0.0007168159,0.001685409,0.0002605742,0.001317621,0.0005146384,0.001212423,0.001394812],"category_scores_gemma":[0.002252096,0.0002098351,0.000632572,0.0007310887,0.0003797875,0.0007418002,0.0003462785,0.0009501581,0.0003630446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004800386,"about_ca_system_score_gemma":0.0005547413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020603,"about_ca_topic_score_gemma":0.001814986,"domain_scores_codex":[0.9992498,0.0002002512,0.000109288,0.0001695497,0.0002014862,0.00006980837],"domain_scores_gemma":[0.9985839,0.000544079,0.0003823063,0.00005519986,0.0003279155,0.0001064872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002412908,0.0007965094,0.7388689,0.0009261602,0.0008330002,0.002979082,0.0002465643,0.0007826361,0.08562002,0.0006209921,0.002039925,0.1638733],"study_design_scores_gemma":[0.0001256314,0.002887327,0.9328319,0.0005094313,0.0008891776,0.01182729,0.0007088037,0.003749641,0.03882696,0.001520416,0.006044439,0.00007902192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019784,0.07093536,0.007801082,0.001516097,0.0003758732,0.000237563,0.001794291,0.0003135113,0.0150479],"genre_scores_gemma":[0.9799668,0.01016938,0.006132481,0.0006753849,0.0001553402,0.00009589615,0.0005931739,0.00003386625,0.002177696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0020603,"threshold_uncertainty_score":0.006081939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241853244316879,"score_gpt":0.4419415537392096,"score_spread":0.3177562293075216,"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."}}