{"id":"W4385075993","doi":"10.1016/j.isci.2023.107454","title":"Early classification of Alzheimer's disease phenotype based on hippocampal electrophysiology in the TgF344-AD rat model","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Hippocampus; Neuroscience; Hippocampal formation; Electrophysiology; Alzheimer's disease; Artificial intelligence; Computer science; Biology; Pattern recognition (psychology); Psychology; Disease; Medicine; Pathology","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":[0.0003586487,0.000683951,0.0004841037,0.001044671,0.0001586005,0.000402704,0.0001623178,0.0003536108,0.0005712885],"category_scores_gemma":[0.0003634281,0.0001371518,0.0002634867,0.0001942628,0.0002445982,0.0004155916,0.0002149136,0.0008026172,0.0002203335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744598,"about_ca_system_score_gemma":0.0001386635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000736483,"about_ca_topic_score_gemma":0.001447512,"domain_scores_codex":[0.9998369,0.00001457788,0.00002319843,0.00004753721,0.00004517336,0.00003246793],"domain_scores_gemma":[0.999658,0.00003519485,0.0001265189,0.00003103243,0.00007840868,0.00007087547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001007795,0.0001856824,0.01839919,0.00004810018,0.00003165849,0.0001818821,0.00008728836,0.0001476638,0.9687399,0.00005936952,0.00009266657,0.01101894],"study_design_scores_gemma":[0.00005798001,0.003544186,0.4303605,0.00005474287,0.000203129,0.002055283,0.0004585269,0.007604489,0.5536657,0.0005317557,0.001385676,0.00007808331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949182,0.0002795606,0.00397306,0.00003834199,0.00002570441,0.0000392836,0.0002808138,0.0001003142,0.0003448066],"genre_scores_gemma":[0.9889016,0.000419819,0.008576256,0.00004142295,0.00001059141,0.00007157081,0.0006176091,0.00002484978,0.001336238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001044671,"threshold_uncertainty_score":0.001911104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072979569594497,"score_gpt":0.3653180665948423,"score_spread":0.2580201096353926,"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."}}