{"id":"W4390031802","doi":"10.1159/000535756","title":"Examining Eye Tracking Metrics and Cognitive Function in Post-Stroke Individuals: A Comparison of Visual Searching Tasks between Those with and without Cognitive Impairment","year":2023,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eye tracking; Cognition; Saccade; Stroke (engine); Eye movement; Medicine; Rehabilitation; Gaze; Smooth pursuit; Physical medicine and rehabilitation; Montreal Cognitive Assessment; Audiology; Cognitive impairment; Psychology; Physical therapy; Artificial intelligence; Psychiatry; Ophthalmology; Computer science","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":[0.0005162462,0.0002950058,0.0002731492,0.00118076,0.0001964713,0.0003968742,0.000145105,0.0003201078,0.001245082],"category_scores_gemma":[0.001973725,0.00008470662,0.0002751508,0.0007378809,0.000189638,0.0003685615,0.0002810372,0.0001997314,0.0002568815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635877,"about_ca_system_score_gemma":0.0002114805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002232259,"about_ca_topic_score_gemma":0.002472073,"domain_scores_codex":[0.9998098,0.00003062997,0.00003518123,0.00004251003,0.00004967168,0.00003224497],"domain_scores_gemma":[0.9989004,0.0002882953,0.0004350544,0.0000407993,0.0002052991,0.0001301299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005763469,0.0001481358,0.986101,0.00003802413,0.0000718556,0.00007350252,0.0002321804,0.00009341593,0.001508244,0.00001605252,0.00007128513,0.01107],"study_design_scores_gemma":[0.00000393551,0.0004447974,0.998795,0.000005246729,0.0000167521,0.0001359271,0.0001019141,0.0001578214,0.0002650034,0.00001453487,0.00005604281,0.000003013655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999127,0.0002059817,0.0001751419,0.000008939665,0.000002214502,0.00001171073,0.0001137413,0.000005280045,0.0003500582],"genre_scores_gemma":[0.9994086,0.0000907809,0.0001742273,0.000007773722,0.000002893605,0.00001386703,0.0001362207,9.507988e-7,0.0001646467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002232259,"threshold_uncertainty_score":0.004438519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915750365858325,"score_gpt":0.3247427771036374,"score_spread":0.2855852734450541,"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."}}