{"id":"W3168046494","doi":"10.21203/rs.3.rs-624520/v1","title":"Alzheimer's Disease Early Detection Using Machine Learning Techniques","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Logistic regression; Support vector machine; Random forest; Machine learning; Artificial intelligence; Dementia; Linear discriminant analysis; Disease; Computer science; Neuroimaging; Medicine; Psychiatry; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001211503,0.0002810768,0.0002558355,0.0006553082,0.0009233689,0.000764428,0.0004637011,0.0002895573,0.000224619],"category_scores_gemma":[0.002633668,0.0002985817,0.0002185986,0.0009679292,0.0002493425,0.0002342969,0.0009471213,0.003339515,0.00005861167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003575631,"about_ca_system_score_gemma":0.0004042666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00065737,"about_ca_topic_score_gemma":0.00006556066,"domain_scores_codex":[0.9941207,0.002339901,0.0003458254,0.001193457,0.001404436,0.0005956696],"domain_scores_gemma":[0.997865,0.0003531527,0.0001811592,0.0008066785,0.0004375729,0.0003563992],"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":[0.0001968737,0.0002344659,0.002717361,0.0004198516,0.00002619881,0.0002541101,0.0004447999,0.0003700792,0.9489918,0.0002099642,0.00001339019,0.04612112],"study_design_scores_gemma":[0.000141705,0.000129302,0.009494543,0.0004971167,0.00003795756,0.00002568323,0.0002211156,0.05055157,0.9347831,0.0006230341,0.003072386,0.0004225123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893094,0.001221758,0.004611789,0.000558287,0.0005546798,0.00157034,0.00005270365,0.0009684842,0.001152559],"genre_scores_gemma":[0.998202,0.0003727096,0.000309162,0.00005191919,0.0003130199,0.0002885834,0.00003479606,0.00008258352,0.0003452711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05018149,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1734053203540649,"score_gpt":0.4123904958240033,"score_spread":0.2389851754699384,"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."}}