{"id":"W3041172827","doi":"10.1177/0300060520936881","title":"Mild cognitive impairment, dementia, and cognitive dysfunction screening using machine learning","year":2020,"lang":"en","type":"article","venue":"Journal of International Medical Research","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Medicine; Cognition; Neuropsychology; Kappa; Receiver operating characteristic; Cohen's kappa; Cognitive impairment; Montreal Cognitive Assessment; Clinical psychology; Machine learning; Psychiatry; Internal medicine; Computer science; Disease","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":[0.003921058,0.0005564963,0.0004916131,0.001780187,0.0002247772,0.0006097991,0.000370022,0.0004546519,0.0006047011],"category_scores_gemma":[0.01558741,0.0001095531,0.0004622478,0.0005832093,0.0002568612,0.0005686223,0.0003168429,0.0004190171,0.0002324702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961129,"about_ca_system_score_gemma":0.0008001309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538966,"about_ca_topic_score_gemma":0.002015661,"domain_scores_codex":[0.9986915,0.0007129852,0.0001276139,0.0001687415,0.0002349264,0.00006429871],"domain_scores_gemma":[0.996197,0.002365992,0.000547302,0.0001634474,0.0006148826,0.0001113426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006561104,0.0006516692,0.7748213,0.0001924039,0.0003324638,0.0002308563,0.000114699,0.02061384,0.00228106,0.0005658591,0.001085894,0.1984539],"study_design_scores_gemma":[0.0001560199,0.002121708,0.509927,0.0003422613,0.0003308162,0.002375838,0.0002586416,0.4711543,0.006278915,0.003977114,0.00299303,0.00008426827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168545,0.00174896,0.07777113,0.0004682813,0.00006191795,0.0003142939,0.0004911833,0.0002452644,0.002044398],"genre_scores_gemma":[0.9549676,0.0002457402,0.04393618,0.0001175331,0.00003202953,0.0001090999,0.0003019285,0.000005476455,0.0002843788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003921058,"threshold_uncertainty_score":0.02073681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09346019124265421,"score_gpt":0.4312330658531173,"score_spread":0.3377728746104631,"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."}}