{"id":"W4405708633","doi":"10.1007/978-3-031-76469-1_17","title":"Artificial Intelligence and Aging","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Psychology; Computer science; Artificial intelligence; Cognitive science","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":[0.0003526848,0.0008069375,0.0005124582,0.001406422,0.0008249418,0.002448529,0.0004559742,0.00141388,0.03932208],"category_scores_gemma":[0.0009732322,0.0002097233,0.0002039148,0.001471777,0.001259133,0.002927087,0.001151939,0.002273152,0.01990121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000982431,"about_ca_system_score_gemma":0.001120338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001653,"about_ca_topic_score_gemma":0.005719078,"domain_scores_codex":[0.9998478,0.00003620168,0.000005412965,0.00001913914,0.00007586516,0.0000157472],"domain_scores_gemma":[0.9998187,0.00009029025,0.00001092151,0.00001601185,0.00003944398,0.00002453369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000890214,0.00003478352,0.000114899,0.0002057416,0.000005338572,0.00003827015,0.0003939619,0.0001754427,0.0001264737,0.150867,0.6121477,0.2358814],"study_design_scores_gemma":[0.000001518825,0.000007795695,0.0002359219,0.000226347,0.000002679174,0.00007242618,0.00008707302,0.00008175012,0.00003815951,0.05165292,0.9475905,0.000002872428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006868666,0.2260642,0.002768162,0.01475117,0.006320923,0.0000376982,0.0001244065,0.0001007009,0.7491458],"genre_scores_gemma":[0.006568736,0.0946353,0.001409982,0.00554671,0.002631445,0.00006132197,0.0001266528,0.00006706289,0.8889527],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03932208,"threshold_uncertainty_score":0.1315455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0559391018604232,"score_gpt":0.3138761248733068,"score_spread":0.2579370230128836,"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."}}