{"id":"W4409316860","doi":"10.1117/12.3047109","title":"A comparison of biomarker modalities for predicting disease progression in dementia patients","year":2025,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Dementia; Biomarker; Modalities; Disease; Computer science; Medicine; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000228891,0.00006869228,0.0001302699,0.000148688,0.00006212074,0.00002739241,0.0003102115,0.0000276879,0.000004332135],"category_scores_gemma":[0.0002162827,0.00005877026,0.00003268857,0.0002518541,0.00001789707,0.0001298753,0.0002085349,0.0000606313,3.809904e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002509093,"about_ca_system_score_gemma":0.00007771352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053933,"about_ca_topic_score_gemma":0.00002987669,"domain_scores_codex":[0.999043,0.0000833133,0.0003285858,0.0002144591,0.000162531,0.0001680886],"domain_scores_gemma":[0.9993648,0.0001549491,0.0001010183,0.0002342612,0.00009965993,0.00004533472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002633103,0.0001230275,0.9512559,0.00030831,0.000006901671,1.717006e-7,0.0003346312,0.0001534378,0.000004374803,0.01005657,0.0002224939,0.03750788],"study_design_scores_gemma":[0.0002975903,0.00003752616,0.5197848,0.0001576147,0.000003227313,9.284184e-9,0.00003189055,0.4784865,0.0000731397,0.0009485279,0.0001444094,0.00003471908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7038384,0.0004051061,0.2914638,0.001449004,0.0003692528,0.0009327249,0.000006975168,0.0001297288,0.001405064],"genre_scores_gemma":[0.9753315,6.668656e-7,0.02442291,0.00006584129,0.000004417787,0.00007805579,0.00000842326,0.00000307172,0.00008503794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4783331,"threshold_uncertainty_score":0.2396581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265753162000896,"score_gpt":0.3964347535963981,"score_spread":0.3637772219763892,"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."}}