{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131661,0.0007499044,0.0007256354,0.003403526,0.0003121471,0.001178446,0.0005609283,0.0008684935,0.001519406],"category_scores_gemma":[0.003003432,0.0002137667,0.0008600385,0.001507497,0.0001967399,0.0008572266,0.0004548157,0.0007180482,0.001822318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003996453,"about_ca_system_score_gemma":0.0005027872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270369,"about_ca_topic_score_gemma":0.003175177,"domain_scores_codex":[0.9991813,0.0002303142,0.00008205233,0.0001632641,0.000240418,0.0001026862],"domain_scores_gemma":[0.9987642,0.0005501304,0.0001469274,0.0001089993,0.0003859116,0.0000439323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002890175,0.0006062972,0.02273178,0.0002728394,0.0002395503,0.0004096012,0.00011068,0.05365605,0.02030979,0.001798652,0.01461041,0.8849654],"study_design_scores_gemma":[0.00002406401,0.0001777739,0.01653198,0.0000861698,0.00008458335,0.0004693132,0.00007047773,0.9469979,0.02238153,0.005490151,0.007633424,0.0000526964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2285211,0.005625478,0.7451316,0.001384112,0.0004305223,0.0003201351,0.003341717,0.00744631,0.007799072],"genre_scores_gemma":[0.6214868,0.001575962,0.3672269,0.0001924078,0.0002567968,0.0001715749,0.004125575,0.0001066213,0.004857385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003403526,"threshold_uncertainty_score":0.005984843,"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."}}