{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005241717,0.0007171265,0.0004523685,0.001181509,0.0001772205,0.0005032202,0.0003801932,0.0004214098,0.0005035746],"category_scores_gemma":[0.001164455,0.0001985985,0.0005038785,0.0004483938,0.0001511033,0.0003984645,0.0003282574,0.0003566239,0.0001481509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347401,"about_ca_system_score_gemma":0.0004252649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259211,"about_ca_topic_score_gemma":0.01624897,"domain_scores_codex":[0.99984,0.00003126157,0.00001979808,0.00003663809,0.00003813285,0.00003412552],"domain_scores_gemma":[0.9998136,0.00005198452,0.0000313658,0.00001543972,0.00006883573,0.0000187705],"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":[0.001551802,0.0007813218,0.1062304,0.0003435815,0.0005692684,0.001125671,0.0002238408,0.3268709,0.0339883,0.001138317,0.007320319,0.5198563],"study_design_scores_gemma":[0.00002013451,0.0001316255,0.01874574,0.00003315061,0.0000709141,0.0001751786,0.00004209125,0.973097,0.006388286,0.0008637912,0.0004124005,0.00001976727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265826,0.001865528,0.06620893,0.0004841511,0.0001715649,0.0001312746,0.001064958,0.0007597326,0.002731246],"genre_scores_gemma":[0.9837098,0.0003414893,0.01442976,0.00007088957,0.00002403618,0.00002267137,0.0006682909,0.00000928597,0.0007237165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259211,"threshold_uncertainty_score":0.02503765,"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."}}