{"id":"W4390196600","doi":"10.1002/alz.082236","title":"Evaluation of Interpretable Speech Biomarkers for Monitoring Alzheimer’s Disease and Mild Cognitive Impairment Progression","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Correlation; Montreal Cognitive Assessment; Biomarker; Cognition; Audiology; Sentence; Disease; Medicine; Psychology; Cognitive impairment; Internal medicine; Artificial intelligence; Computer science; Neuroscience; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002570598,0.001051231,0.0006974739,0.002096253,0.0002539137,0.001355948,0.0003846124,0.0007434464,0.0009798809],"category_scores_gemma":[0.005856223,0.0002015721,0.0004956077,0.0006989797,0.0002208951,0.0005275709,0.0004307882,0.0004235567,0.0004036445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916271,"about_ca_system_score_gemma":0.0003501926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290648,"about_ca_topic_score_gemma":0.001908328,"domain_scores_codex":[0.9993018,0.0002483506,0.00007913091,0.0001707519,0.000148976,0.00005099262],"domain_scores_gemma":[0.9966936,0.001369018,0.0007881618,0.00014681,0.0007736955,0.0002286564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006124799,0.0008373049,0.7478713,0.0006073439,0.0008952097,0.0003833763,0.0005594047,0.008620556,0.08437286,0.0003379986,0.001010363,0.1483794],"study_design_scores_gemma":[0.00009721882,0.002772326,0.8952974,0.00009785012,0.0006649234,0.0007937725,0.0003781494,0.0641322,0.03367652,0.0008664961,0.001123789,0.00009935388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985897,0.001030091,0.0104924,0.00008395637,0.00004485113,0.00009699586,0.001303448,0.0002111404,0.0008401384],"genre_scores_gemma":[0.9881307,0.0002484721,0.01036046,0.00004011055,0.00004918742,0.00008989654,0.0007336985,0.00001704731,0.0003304368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002570598,"threshold_uncertainty_score":0.01359481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1606901321885949,"score_gpt":0.4833421213406427,"score_spread":0.3226519891520478,"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."}}