{"id":"W4229041866","doi":"10.2196/37014","title":"Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sam and Rose Stein Institute for Research on Aging; National Institute of Mental Health; Japan Society for the Promotion of Science; University of California, San Diego","keywords":"Montreal Cognitive Assessment; Cognition; Dementia; Process (computing); Psychology; Artificial intelligence; Computer science; Cognitive impairment; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002161074,0.00009520366,0.0001866852,0.0008415426,0.0002390923,0.00005875862,0.0003466784,0.00002710698,0.0004223],"category_scores_gemma":[0.0003332483,0.00007222354,0.00003376303,0.002310584,0.0001043796,0.0003268713,0.0007574757,0.0003512986,0.00001174979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090722,"about_ca_system_score_gemma":0.0001270867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000679654,"about_ca_topic_score_gemma":0.00002331779,"domain_scores_codex":[0.9970782,0.0004320383,0.0002940932,0.000302289,0.001587997,0.0003053902],"domain_scores_gemma":[0.9988065,0.0002582325,0.00007340138,0.0002733309,0.0004992385,0.00008924414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01124836,0.004785844,0.8846186,0.0008355303,0.002168843,0.00009279305,0.03231296,0.00119669,0.0006921302,0.0004407807,0.00436719,0.05724032],"study_design_scores_gemma":[0.001174163,0.001048535,0.797328,0.0002205835,0.0000711962,0.000008763994,0.007125042,0.1923493,0.0005151159,0.0000627009,0.00003748912,0.00005917859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993582,0.0000149045,0.00005012027,0.001940838,0.00002274672,0.001476416,0.0004592359,0.0000318787,0.002421911],"genre_scores_gemma":[0.9974296,0.000006890232,0.00002890739,0.0001039852,0.000008985561,0.0006070625,0.001773692,0.000006997753,0.00003388682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1911526,"threshold_uncertainty_score":0.4623889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653348211323,"score_gpt":0.4650661917158212,"score_spread":0.4185327096025912,"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."}}