{"id":"W4310518324","doi":"10.21203/rs.3.rs-2323332/v1","title":"Four-Way Classification of Alzheimer's Disease using Deep Siamese Convolutional Neural Network with Triplet-Loss Function","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nottingham Trent University; Trent University; Ministry of Higher Education, Research and Innovation; Alzheimer's Disease Neuroimaging Initiative","keywords":"Convolutional neural network; Disease; Artificial intelligence; Embedding; Pattern recognition (psychology); Representation (politics); Computer science; Loss function; Function (biology); Neuroscience; Medicine; Psychology; Pathology; Biology; Phenotype","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001666678,0.0003458666,0.000384585,0.0005785316,0.001059352,0.0001764454,0.0006274903,0.0002044881,0.0009748041],"category_scores_gemma":[0.0008642435,0.0003341726,0.000236985,0.001665725,0.0006462853,0.0002420675,0.0006389804,0.002068014,0.00002613362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007044986,"about_ca_system_score_gemma":0.0008755616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008316364,"about_ca_topic_score_gemma":0.00002978703,"domain_scores_codex":[0.9921952,0.002509349,0.0006283289,0.001296944,0.00261865,0.0007515558],"domain_scores_gemma":[0.9966455,0.0006464349,0.0005718256,0.001137859,0.0006177481,0.0003807036],"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":[0.01539372,0.002604434,0.05105166,0.002596947,0.0004433646,0.000438958,0.001005878,0.7222947,0.1100134,0.0586811,0.005016379,0.03045946],"study_design_scores_gemma":[0.001228611,0.0005728081,0.3513776,0.0002914252,0.0001808974,0.00004747592,0.0006164691,0.6341367,0.001380073,0.004468899,0.005020854,0.0006781677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676233,0.001745215,0.01650316,0.003888362,0.002310719,0.005047166,0.0005456883,0.0004688775,0.001867552],"genre_scores_gemma":[0.9978663,0.00008885239,0.000159757,0.00009951251,0.0005351057,0.0006580208,0.0002324706,0.00007995751,0.0002800177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3003259,"threshold_uncertainty_score":0.9999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2019328015557681,"score_gpt":0.3806542552004062,"score_spread":0.1787214536446381,"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."}}