{"id":"W4391755833","doi":"10.1016/j.isci.2024.109212","title":"Distance-weighted Sinkhorn loss for Alzheimer’s disease classification","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; Canadian Institutes of Health Research; National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Genentech; IXICO; U.S. National Library of Medicine; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; University of Southern California; Pfizer; Biogen; BioClinica; Meso Scale Diagnostics; Eli Lilly and Company; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; National Science Foundation","keywords":"Alzheimer's disease; Disease; Computer science; Medicine; Internal medicine","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":[0.0001346136,0.00007201299,0.00005157624,0.00002231513,0.00008740384,0.00005339672,0.0001854832,0.0000582561,0.000006991248],"category_scores_gemma":[0.00009662513,0.00005540736,0.00005215055,0.0001283548,0.0003086582,0.000003614466,0.0000347934,0.00003629837,0.00001587967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000707744,"about_ca_system_score_gemma":0.00009973012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001686506,"about_ca_topic_score_gemma":0.000003691244,"domain_scores_codex":[0.9992776,0.00001200644,0.00009247387,0.0003423631,0.0001027499,0.0001728322],"domain_scores_gemma":[0.9996443,0.00002301191,0.0000175151,0.000189648,0.00003271609,0.0000928578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001521838,0.0001049492,0.002333847,0.00009025668,0.00005231811,0.00002126579,0.0001516909,0.000007104603,0.1812886,0.01281457,0.04944782,0.7535353],"study_design_scores_gemma":[0.0001204685,0.0001202453,0.006792711,0.00003434639,0.00003205675,0.000004372547,0.0000527759,0.007858876,0.01312683,0.001714658,0.9699697,0.0001729008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3676231,0.06372578,0.5515678,0.01106475,0.0025211,0.0006121477,0.0002523063,0.0002872152,0.002345778],"genre_scores_gemma":[0.9965186,0.0001109718,0.002133551,0.0001614552,0.0001847968,0.00004593801,0.00006534794,0.000007089298,0.0007722691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9205219,"threshold_uncertainty_score":0.2259447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355251741955261,"score_gpt":0.3265614385781094,"score_spread":0.2830089211585568,"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."}}