{"id":"W2582402293","doi":"10.1167/tvst.6.1.3","title":"Quantifying the ON and OFF Contributions to the Flash ERG with the Discrete Wavelet Transform","year":2017,"lang":"en","type":"article","venue":"Translational Vision Science & Technology","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; McGill University Health Centre; Montreal Children's Hospital","funders":"Canadian Institutes of Health Research; Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Erg; Photopic vision; Electroretinography; Discrete wavelet transform; Stimulus (psychology); Retinal; Wavelet transform; Physics; Wavelet; Medicine; Artificial intelligence; Ophthalmology; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005493522,0.00009524155,0.00006588393,0.00006831733,0.002120281,0.0001230908,0.0007454675,0.00006303329,0.000005483695],"category_scores_gemma":[0.0001053354,0.00004019501,0.00002665763,0.0002433092,0.001559904,0.00001483228,0.0000635487,0.0001210425,0.00001124958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005760613,"about_ca_system_score_gemma":0.0001016893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004457424,"about_ca_topic_score_gemma":0.000236173,"domain_scores_codex":[0.9991377,0.00001562823,0.0001010966,0.000268995,0.0002669593,0.0002096476],"domain_scores_gemma":[0.9993591,0.00003256162,0.00004900802,0.0004176551,0.0001083979,0.00003330714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009064038,0.0000952457,0.01626244,0.00001077217,0.00008737019,0.000004243821,0.001340385,0.0008279143,0.4098526,0.2101676,0.003813088,0.356632],"study_design_scores_gemma":[0.001582995,0.001144855,0.2790243,0.00005786784,0.00004162111,0.00005908193,0.0009666042,0.00161211,0.1148892,0.006394817,0.5937408,0.0004857245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7015647,0.000216293,0.01076525,0.2847375,0.00005566319,0.0004105039,0.00002210697,0.00001434404,0.002213674],"genre_scores_gemma":[0.998992,0.00007551398,0.000233225,0.0004984332,0.00002126447,0.00003086489,0.00000681275,0.000004481138,0.0001373835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5899277,"threshold_uncertainty_score":0.9991788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397470339936698,"score_gpt":0.3273543858884079,"score_spread":0.3133796824890409,"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."}}