{"id":"W4390083510","doi":"10.1093/geroni/igad104.2745","title":"DEVELOPMENT AND EVALUATION OF COGNITIVE IMPAIRMENT SCREENING TOOL BASED ON EYE-TRACKING TECHNOLOGY","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Set (abstract data type); Demographics; Decision tree; Cognitive impairment; Test (biology); Psychology; Medicine; Artificial intelligence; Computer science; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169127,0.000063787,0.0001266766,0.001625714,0.00004285432,0.00000992034,0.00001948471,0.00003162066,0.00001020296],"category_scores_gemma":[0.0005284235,0.0000619433,0.0000111633,0.002766156,0.00002861874,0.00004337841,0.0000162696,0.0001071054,0.000003306184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006351464,"about_ca_system_score_gemma":0.00007751639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005219873,"about_ca_topic_score_gemma":8.659754e-7,"domain_scores_codex":[0.9990332,0.00002675488,0.0003404451,0.0001512726,0.0003410949,0.0001072844],"domain_scores_gemma":[0.9993036,0.00006158995,0.0001219348,0.00006604464,0.000438825,0.000008022573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004013593,0.00005391861,0.5771883,0.00006848428,0.00003507934,0.00001004759,0.001104253,0.001486048,0.009245992,0.0001713906,0.0000126673,0.4105838],"study_design_scores_gemma":[0.001770947,0.00004720332,0.7085671,0.002155492,0.00006020674,0.000002251272,0.002984457,0.2434743,0.04066976,0.0001302537,0.00004448117,0.00009355677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941741,0.00001319698,0.003763854,0.001515273,0.00001728861,0.0001758874,4.708227e-7,0.00005589564,0.000284052],"genre_scores_gemma":[0.9958904,0.000001250421,0.003811464,0.0001689896,0.00001244648,0.00003219075,0.00005350313,0.000007051615,0.0000226856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4104902,"threshold_uncertainty_score":0.2525975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728315986474922,"score_gpt":0.3813310985464566,"score_spread":0.3240479386817074,"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."}}