{"id":"W7133211823","doi":"10.1109/icateee68170.2025.11406305","title":"A Hybrid Deep Learning and Multiclass SVM Approach for Alzheimer’s Disease Stage Classification from MRI Scans","year":2025,"lang":"","type":"article","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Discriminative model; Support vector machine; Deep learning; Pattern recognition (psychology); Feature extraction; Neuroimaging; Stage (stratigraphy)","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":[0.001013085,0.0008877487,0.001065323,0.001219892,0.0003236913,0.0006347752,0.001253579,0.001041618,0.0007981076],"category_scores_gemma":[0.001068131,0.0002492311,0.00093845,0.0007828414,0.0002033257,0.000682105,0.0008205374,0.0009983791,0.0004791654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627692,"about_ca_system_score_gemma":0.0008259581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00460529,"about_ca_topic_score_gemma":0.007296679,"domain_scores_codex":[0.9995267,0.00009318975,0.00003677817,0.0001317738,0.0001068566,0.0001045783],"domain_scores_gemma":[0.9996052,0.00009969612,0.00003414687,0.00006071631,0.0001536327,0.00004654934],"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":[0.0005795683,0.000651747,0.009668916,0.0001065637,0.0002517618,0.0001574573,0.00007730541,0.05217853,0.02132341,0.001149032,0.006521263,0.9073344],"study_design_scores_gemma":[0.00001869352,0.0001313109,0.002431681,0.00001568174,0.00004741997,0.00009600728,0.00002671745,0.9895906,0.005228751,0.001535509,0.0008604481,0.00001724814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.258384,0.00333207,0.730089,0.0007229735,0.0003355137,0.0001960125,0.0009329971,0.003599219,0.002408293],"genre_scores_gemma":[0.8557052,0.0005442038,0.1377018,0.0003222693,0.0001628065,0.0001308515,0.001644106,0.00007191692,0.003716845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00460529,"threshold_uncertainty_score":0.009157002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219232515251636,"score_gpt":0.3036570193146742,"score_spread":0.2514646941621578,"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."}}