{"id":"W4407955477","doi":"10.18280/isi.300217","title":"Automatic Alzheimer's Disease Detection Based on Deep Learning Models","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Artificial intelligence; Computer science; Disease; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004827222,0.0006789316,0.0006775709,0.001063111,0.0002334326,0.0007654319,0.0006062054,0.000737618,0.0009914653],"category_scores_gemma":[0.001056437,0.0003225278,0.0006441097,0.0005143875,0.0001641665,0.0006258097,0.0004644173,0.0009210966,0.0006398162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479408,"about_ca_system_score_gemma":0.0007158588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007353069,"about_ca_topic_score_gemma":0.01228757,"domain_scores_codex":[0.9998133,0.00002674311,0.0000117983,0.00005422557,0.00004419145,0.00004978847],"domain_scores_gemma":[0.9996581,0.0001187619,0.00004160563,0.00003382307,0.0001186243,0.00002916373],"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":[0.0007643746,0.0006456307,0.02828286,0.0001748777,0.0002943036,0.0003438005,0.00006991356,0.1000759,0.03364412,0.003375657,0.01372755,0.8186011],"study_design_scores_gemma":[0.00001257255,0.0000484312,0.004367969,0.00002306689,0.0000440953,0.0001348143,0.00001109017,0.9853703,0.005829496,0.003264528,0.0008828484,0.00001089027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.363093,0.00530216,0.6196591,0.001309318,0.0002578069,0.0001079908,0.002124051,0.003461527,0.004685081],"genre_scores_gemma":[0.9245347,0.001008082,0.06739005,0.000231951,0.00009540444,0.00004812394,0.001657032,0.0000592087,0.0049753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007353069,"threshold_uncertainty_score":0.01462054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917511956705316,"score_gpt":0.2488420592444615,"score_spread":0.2196669396774083,"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."}}