{"id":"W4386025080","doi":"10.1109/ainit59027.2023.10212792","title":"Long-Term Short-Term Memory Networks of Retinal OCT Images Predict the Incidence Trend of Alzheimer's Disease","year":2023,"lang":"en","type":"article","venue":"","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interpretability; Nerve fiber layer; Artificial intelligence; Term (time); Set (abstract data type); Convolutional neural network; Test set; Pattern recognition (psychology); Retinal; Medicine; Ophthalmology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004855343,0.0001643298,0.0004024896,0.000155429,0.00006222547,0.0000157124,0.0002140065,0.00003980361,0.0002649603],"category_scores_gemma":[0.0001134621,0.00009929481,0.0002979002,0.0005814133,0.0003884384,0.00007686539,0.0001153967,0.0001858235,0.000009895375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001006919,"about_ca_system_score_gemma":0.00006044635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000648055,"about_ca_topic_score_gemma":0.00001110811,"domain_scores_codex":[0.9984698,0.00008533401,0.0004518002,0.000270504,0.0004622196,0.0002603266],"domain_scores_gemma":[0.9988346,0.0001579746,0.0001352858,0.0005802767,0.0001084258,0.0001834744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002108844,0.00009587533,0.9771144,0.0001271735,0.0003869806,0.0002765755,0.0001209155,0.0002855159,0.002793357,0.00001110788,0.004656693,0.01392046],"study_design_scores_gemma":[0.0002644838,0.000106621,0.9827015,0.000401785,0.001750283,0.00002418141,0.0001389462,0.01065542,0.003834921,0.00001324543,0.000006500016,0.0001020823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928669,0.002266708,0.0005031645,0.001344564,0.00007813994,0.0001986419,0.00001889399,0.00009684874,0.002626158],"genre_scores_gemma":[0.9969173,0.0005294997,0.00006534934,0.00008998159,0.0001851274,0.00001143973,0.00008088187,0.00001908723,0.002101327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01381838,"threshold_uncertainty_score":0.4049125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384154785691815,"score_gpt":0.3103494098147517,"score_spread":0.2865078619578336,"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."}}