{"id":"W4362565645","doi":"10.18103/mra.v11i3.3594","title":"Measuring Executive Function Using Eye Movements on a Computerized Trail Making Test: A Pilot Study","year":2023,"lang":"en","type":"article","venue":"Medical Research Archives","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital; University of British Columbia, Okanagan Campus","funders":"","keywords":"Wisconsin Card Sorting Test; Test (biology); Trail Making Test; Eye movement; Psychology; Eye tracking; Card sorting; Cognition; Computer science; Artificial intelligence; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002618265,0.0001890857,0.0002679998,0.0009844387,0.0006008412,0.00006279327,0.0003355851,0.00004715298,0.001232943],"category_scores_gemma":[0.002640539,0.0001649458,0.00007294858,0.001015957,0.000375118,0.00005995702,0.0003974713,0.001025051,0.0006673607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005983764,"about_ca_system_score_gemma":0.0001890401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001618232,"about_ca_topic_score_gemma":0.00006462388,"domain_scores_codex":[0.994768,0.001449256,0.000336702,0.0006756152,0.001836256,0.0009342029],"domain_scores_gemma":[0.9956685,0.003461376,0.00005110695,0.0003604338,0.00009948859,0.0003590422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008067697,0.01233141,0.034951,0.0001047526,0.000973642,0.002388505,0.01855625,0.00002592621,0.02972864,0.001887668,0.002924076,0.8880605],"study_design_scores_gemma":[0.007803464,0.01743501,0.9362006,0.0008441908,0.00004682155,0.00001560072,0.01764904,0.007121248,0.0001261563,0.004513273,0.007821751,0.0004228843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492317,0.00006020749,0.009360055,0.0002690522,0.0008727156,0.001155657,0.00002107811,0.0002306825,0.03879887],"genre_scores_gemma":[0.9946123,0.00001699921,0.00007059678,0.0001953964,0.0005008479,0.0002874524,0.00001382399,0.0000408203,0.00426176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9012496,"threshold_uncertainty_score":0.99968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3554081884309074,"score_gpt":0.4696716203050164,"score_spread":0.114263431874109,"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."}}