{"id":"W4402577460","doi":"10.3390/app14188287","title":"Alzheimer’s Multiclassification Using Explainable AI Techniques","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; Iran Telecommunication Research Center; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; Ministry of Science and ICT, South Korea; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759635,0.0009485802,0.0005608094,0.001229406,0.0003640035,0.001164432,0.0009088127,0.0009470801,0.001838624],"category_scores_gemma":[0.004692547,0.000298044,0.001346207,0.000586214,0.0005019069,0.0009183169,0.00101694,0.001860294,0.0002907349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009283724,"about_ca_system_score_gemma":0.0008502355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004987158,"about_ca_topic_score_gemma":0.005049085,"domain_scores_codex":[0.9994155,0.0002174258,0.00003926268,0.0001649301,0.0001029753,0.00005988283],"domain_scores_gemma":[0.9977708,0.00149048,0.0002441702,0.0002346731,0.0002062022,0.00005363348],"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":[0.0001516994,0.0001593603,0.009228374,0.0002126387,0.0003924721,0.0003697954,0.0004215935,0.6433769,0.005016897,0.03649465,0.003329526,0.3008462],"study_design_scores_gemma":[0.000005439726,0.00001922854,0.000474999,0.0000139731,0.00001919874,0.00002997647,0.00001094826,0.9791094,0.0005610273,0.01902077,0.000728338,0.000006632054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04560918,0.0008087542,0.9491575,0.001220463,0.00007649376,0.00007639417,0.0002155188,0.001216136,0.001619612],"genre_scores_gemma":[0.7910993,0.0004658212,0.2045609,0.0004173042,0.0001322894,0.000149606,0.0005758271,0.0001005283,0.002498487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004987158,"threshold_uncertainty_score":0.009916246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153169236479364,"score_gpt":0.3621408146121811,"score_spread":0.2468238909642446,"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."}}