{"id":"W4297990442","doi":"10.18280/ria.360413","title":"Severity Classification of Alzheimer Dementia Based on MRI Images Using Deep Neural Network","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Convolutional neural network; Alzheimer's disease; Cognitive impairment; Clinical diagnosis; Artificial intelligence; Disease; Artificial neural network; Medicine; Cognition; Psychology; Computer science; Psychiatry; Pediatrics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003588375,0.0001146922,0.0001779977,0.00008832242,0.0001741605,0.00001817823,0.0001866241,0.00002651022,0.0009004],"category_scores_gemma":[0.00002681978,0.000124613,0.0001096472,0.0005048477,0.00005541088,0.0000503331,0.00003934412,0.0002231056,0.00002264433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003234816,"about_ca_system_score_gemma":0.000009720321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002181914,"about_ca_topic_score_gemma":0.000001325794,"domain_scores_codex":[0.9989097,0.00008009757,0.0003555991,0.0002004663,0.0002197044,0.0002343972],"domain_scores_gemma":[0.9994372,0.00007647439,0.00007333314,0.0003167746,0.00003216804,0.00006407664],"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":[0.000003139967,0.00004685419,0.001090192,0.00002192854,0.00006835432,0.00000327167,0.0000771471,0.9754764,0.005791695,0.000057278,0.00062331,0.0167404],"study_design_scores_gemma":[0.00001939851,0.00001893579,0.000197222,0.00001750801,0.0001328349,0.000002258166,0.0001824304,0.9822007,0.01613055,0.00009144612,0.0008845543,0.0001221485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0860109,0.002248501,0.9081024,0.0003909908,0.0006492427,0.000182651,0.00001506404,0.0001825988,0.002217666],"genre_scores_gemma":[0.996989,0.00001671082,0.002755987,0.00008724708,0.0000743839,0.00001497222,0.00002025108,0.00001964584,0.0000218513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9109781,"threshold_uncertainty_score":0.9858749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04753141683558686,"score_gpt":0.2749540688886771,"score_spread":0.2274226520530902,"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."}}