{"id":"W4321203112","doi":"10.1186/s40708-023-00184-w","title":"Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function","year":2023,"lang":"en","type":"article","venue":"Brain Informatics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nottingham Trent University; National Institute on Aging; Trent University; Ministry of Higher Education, Research and Innovation; Alzheimer's Disease Neuroimaging Initiative","keywords":"Convolutional neural network; Loss function; Disease; Medicine; Artificial intelligence; Function (biology); Pattern recognition (psychology); Computer science; Pathology; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004269373,0.0001807203,0.0001834749,0.0002203688,0.0003271496,0.00006900238,0.0001852449,0.00007584399,0.00005654614],"category_scores_gemma":[0.0005035271,0.0001625624,0.00008487031,0.001391299,0.0002222087,0.0006053508,0.00004661199,0.0001866886,0.0001006185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008042225,"about_ca_system_score_gemma":0.0001213063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003411826,"about_ca_topic_score_gemma":0.000004221745,"domain_scores_codex":[0.9981066,0.0001394435,0.0006456008,0.0001943238,0.0005702449,0.0003437602],"domain_scores_gemma":[0.9984462,0.0003392035,0.0005562548,0.0003692702,0.0001239715,0.0001651385],"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":[0.003198436,0.0004991757,0.01812424,0.0007867171,0.0002094543,0.00005038015,0.004674389,0.6859555,0.08089303,0.1080785,0.03508273,0.06244744],"study_design_scores_gemma":[0.0007153184,0.00009123236,0.08922786,0.00003402653,0.00005791811,0.00003483236,0.0004266001,0.9042224,0.0006879579,0.0006935617,0.003595742,0.0002125254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260514,0.00003828317,0.06666801,0.002568363,0.001339379,0.0009986999,0.00006127791,0.000613295,0.001661287],"genre_scores_gemma":[0.997964,0.000009651253,0.0005065005,0.001042939,0.0001523455,0.00003097941,0.00006125871,0.00002485461,0.0002075199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2182669,"threshold_uncertainty_score":0.66291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09381748725082223,"score_gpt":0.283211957057843,"score_spread":0.1893944698070207,"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."}}