{"id":"W4395099282","doi":"10.47611/jsrhs.v12i4.5843","title":"Diagnosing Alzheimer’s Disease and Frontotemporal Dementia Using Machine Learning and EEG","year":2023,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College","funders":"","keywords":"Frontotemporal dementia; Dementia; Disease; Electroencephalography; Psychology; Neuroscience; Medicine; Cognitive psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154352,0.0000668466,0.0001109757,0.0003375578,0.0004747285,0.0002227657,0.0001234646,0.00002109869,0.00002916982],"category_scores_gemma":[0.0005558873,0.0000563676,0.00003077996,0.0003803492,0.0001357436,0.0002225707,0.0001743129,0.0004537308,0.000006759341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003685449,"about_ca_system_score_gemma":0.00004939485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001967813,"about_ca_topic_score_gemma":0.000006298288,"domain_scores_codex":[0.9981316,0.0004174916,0.0002406885,0.0001740186,0.0008107394,0.0002254525],"domain_scores_gemma":[0.9991501,0.0003525329,0.0001263467,0.0000646628,0.0000963167,0.0002100326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00012958,0.0001179934,0.7654207,0.00002672603,0.00004877376,0.0003408802,0.0007693537,0.00007617706,0.2197855,0.0001960304,0.0002872827,0.01280104],"study_design_scores_gemma":[0.000868585,0.0002602162,0.9707733,0.00008966927,0.00006945049,0.0001040205,0.001159321,0.01655017,0.006147533,0.0003671542,0.003486261,0.0001243212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969521,0.001429863,0.00004985467,0.001201042,0.0001211343,0.0001161714,0.000001142479,0.00001695083,0.000111771],"genre_scores_gemma":[0.9980733,0.001656859,0.00005631681,0.00003292454,0.00008265904,0.000002662546,3.10266e-7,0.0000110114,0.00008390284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.213638,"threshold_uncertainty_score":0.3651276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.321439091406592,"score_gpt":0.4706205892158566,"score_spread":0.1491814978092647,"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."}}