{"id":"W4403947523","doi":"10.18280/mmep.111026","title":"A 3D CNN Model Framework for Early Identification and Classification of Alzheimer’s in Brain MRI Images","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Artificial intelligence; Pattern recognition (psychology); Computer science; Neuroscience; Psychology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004168773,0.0001153293,0.0001535862,0.0001618177,0.00004082771,0.0001154192,0.00006147128,0.00009157066,0.000001882232],"category_scores_gemma":[0.0002239661,0.00010987,0.00003170007,0.000200776,0.00005026987,0.0001614929,0.00001456011,0.0001621546,0.00000404117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001449055,"about_ca_system_score_gemma":0.00001012842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001545164,"about_ca_topic_score_gemma":1.089119e-7,"domain_scores_codex":[0.9990128,0.00001661195,0.0003620995,0.0003316489,0.0001242677,0.0001525323],"domain_scores_gemma":[0.9992831,0.0004517296,0.00004982014,0.0001457824,0.00001998222,0.00004955126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000772752,0.00004464881,0.000002580641,0.00115173,0.000007955231,3.822833e-7,0.001511993,0.3640409,0.2801537,0.3500279,0.0000148153,0.003035714],"study_design_scores_gemma":[0.00007266012,0.00001861397,0.0000459457,0.0002950197,0.00001487893,0.000004561237,0.00001459136,0.8509066,0.01080796,0.1376971,0.00002635351,0.0000957685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06445478,0.0002733587,0.9339423,0.0007436342,0.00005074597,0.0003375577,0.000007284626,0.0001261733,0.0000641692],"genre_scores_gemma":[0.9535829,0.00007902543,0.04604587,0.00001406555,0.00001724923,0.0001544701,0.000001511803,0.00002638425,0.00007849746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8891281,"threshold_uncertainty_score":0.448037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07198256818888298,"score_gpt":0.2847433305540079,"score_spread":0.2127607623651249,"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."}}