{"id":"W3136070868","doi":"10.2196/24151","title":"Application of Eye Tracking in Puzzle Games for Adjunct Cognitive Markers: Pilot Observational Study in Older Adults","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Bern","keywords":"Eye tracking; Laptop; Gaze; Tracking (education); Cognition; Computer science; Psychology; Set (abstract data type); Cognitive psychology; Human–computer interaction; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001084908,0.0007270118,0.0006669047,0.0009453781,0.0008759951,0.0005289408,0.0004230622,0.0007891268,0.0008243301],"category_scores_gemma":[0.002951605,0.0003599349,0.00056092,0.0003274145,0.0004451295,0.0005249585,0.0007175759,0.0006812568,0.0003495019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003833121,"about_ca_system_score_gemma":0.0005467841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006346958,"about_ca_topic_score_gemma":0.010782,"domain_scores_codex":[0.9995481,0.0001199077,0.00004795947,0.0001217559,0.00008787897,0.00007427826],"domain_scores_gemma":[0.9985819,0.0002594336,0.0002876701,0.0001326384,0.000467165,0.0002711875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001347454,0.01153011,0.9149624,0.0003562391,0.0001628898,0.002923017,0.02402889,0.0002083067,0.01689638,0.00006235847,0.0005463971,0.02697551],"study_design_scores_gemma":[0.0001284103,0.009888878,0.9800799,0.00003544668,0.0001145013,0.001582136,0.005195241,0.0006533578,0.001395707,0.00007964642,0.000809962,0.00003664453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994674,0.00005742726,0.0001849143,0.000006688941,0.000001715763,0.00008880151,0.00005754387,0.00000382934,0.0001315978],"genre_scores_gemma":[0.9985656,0.00009500286,0.0006862572,0.00003398368,0.00000669988,0.0001529021,0.0001060454,0.000002616574,0.0003509303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006346958,"threshold_uncertainty_score":0.01262003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523049141854444,"score_gpt":0.3286203805497299,"score_spread":0.2933898891311855,"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."}}