{"id":"W3081692704","doi":"10.1007/s11357-020-00254-5","title":"A short digital eye-tracking assessment predicts cognitive status among adults","year":2020,"lang":"en","type":"article","venue":"GeroScience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognition; Cognitive test; Audiology; Medicine; Cognitive Assessment System; Eye tracking; Cognitive impairment; Psychology; 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":[0.0001934292,0.0001552982,0.0001954644,0.00007291097,0.0001509835,0.0002274725,0.000139862,0.0000420733,0.0001456957],"category_scores_gemma":[0.0005047446,0.0001324973,0.00007364841,0.0005195821,0.0003873628,0.0006222279,0.0001786232,0.0002715728,0.00007393191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006295488,"about_ca_system_score_gemma":0.0002554365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009529886,"about_ca_topic_score_gemma":0.000001651068,"domain_scores_codex":[0.9974993,0.0000296921,0.000214531,0.0005517233,0.00104799,0.0006567778],"domain_scores_gemma":[0.9988521,0.00006637788,0.00004218361,0.0001189703,0.0002683304,0.0006520423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001458905,0.0001767809,0.9562163,0.00005117609,0.00001816213,0.0001398731,0.0006920271,6.700062e-7,0.003635597,0.00001038764,0.0001028002,0.03881032],"study_design_scores_gemma":[0.001075836,0.001176289,0.9894991,0.0002350247,0.00003303273,0.000006299666,0.001619792,0.002360216,0.003579541,0.000007732268,0.0002678088,0.0001393586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772013,0.00002793448,0.006310892,0.0004365055,0.00008145791,0.0007354474,0.000051672,0.0001063573,0.01504846],"genre_scores_gemma":[0.9984942,0.0000245948,0.0001469512,0.0007614206,0.00009955594,0.00005291919,0.00004515809,0.00001490564,0.0003602619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03867096,"threshold_uncertainty_score":0.5403082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884291596445839,"score_gpt":0.3564744458896481,"score_spread":0.3276315299251897,"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."}}