{"id":"W4407247880","doi":"10.1109/aibthings63359.2024.10863685","title":"Alzheimer’s Disease Stage Classification using Blood Data","year":2024,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Lakehead University","funders":"","keywords":"Computer science; Disease; Stage (stratigraphy); Artificial intelligence; Pattern recognition (psychology); Medicine; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001568375,0.001080116,0.0008704048,0.002270937,0.0002539033,0.0007441981,0.0004639416,0.0008083585,0.0007332622],"category_scores_gemma":[0.004752709,0.000116758,0.0005570931,0.00114725,0.0001575486,0.0004952134,0.0003332921,0.0004572579,0.0006351265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807281,"about_ca_system_score_gemma":0.0003516243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00391638,"about_ca_topic_score_gemma":0.004358745,"domain_scores_codex":[0.9991647,0.0002986207,0.00008949621,0.0001629512,0.0001893696,0.00009486659],"domain_scores_gemma":[0.9981729,0.0008941186,0.000197026,0.0001996689,0.0004342117,0.0001020509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00450915,0.002182209,0.5058198,0.0005129473,0.000734487,0.001005867,0.0002194458,0.04029568,0.04087309,0.0005339951,0.006763905,0.3965494],"study_design_scores_gemma":[0.0002104164,0.002143464,0.3443845,0.000134173,0.000516549,0.001703079,0.0003834305,0.5784064,0.06327908,0.001955128,0.006719768,0.00016398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638435,0.001631287,0.02788445,0.000247595,0.0001916223,0.0001548119,0.003498937,0.00067708,0.001870596],"genre_scores_gemma":[0.9710879,0.0004602736,0.02087668,0.0001080144,0.0001102252,0.00008702516,0.006385548,0.0000190228,0.0008652784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00391638,"threshold_uncertainty_score":0.008294463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7257174218579381,"score_gpt":0.6078478438089233,"score_spread":0.1178695780490148,"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."}}