{"id":"W7073700956","doi":"","title":"Impact of the Prevalence of Cognitive Impairment on the Accuracy of the Montreal Cognitive Assessment: The Advantage of Using two MoCA Thresholds to Identify Error-prone Test Scores.","year":2020,"lang":"en","type":"article","venue":"Utrecht University Repository (Utrecht University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognitive impairment; Predictive value; Cognition; Cutoff; Test (biology); Odds ratio; Odds; Training set","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":[0.0004378119,0.0002427087,0.0005161669,0.0002156999,0.0005015316,0.00002011622,0.001307082,0.00008528438,0.0002933073],"category_scores_gemma":[0.0003133026,0.000167383,0.0005432835,0.001089297,0.0009698013,0.0003012229,0.0009493388,0.0002830423,0.00001499962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000370596,"about_ca_system_score_gemma":0.0002420721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800577,"about_ca_topic_score_gemma":0.00005870887,"domain_scores_codex":[0.9983984,0.0001705097,0.0004614643,0.0005047219,0.0001883939,0.0002765263],"domain_scores_gemma":[0.9967359,0.0009919627,0.001360853,0.0005748886,0.0002422331,0.00009417294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009525251,0.0008761858,0.9670978,0.0002615486,0.001605128,0.0000309069,0.01255241,0.001855389,0.001729922,0.01025496,0.002424119,0.0003591432],"study_design_scores_gemma":[0.003694913,0.0008100047,0.9386256,0.0009701041,0.0009455541,0.000009278249,0.04179573,0.002092716,0.009664308,0.0002314477,0.0006393042,0.000520979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186692,0.00007043628,0.0001095334,0.0002703894,0.0003435797,0.0008650696,0.001781404,0.00001182434,0.0778786],"genre_scores_gemma":[0.9899233,0.00008108796,0.00002430687,0.00004601617,0.00002337754,4.836597e-7,0.000002281089,0.00001102007,0.009888113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07125415,"threshold_uncertainty_score":0.6825682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793532985029802,"score_gpt":0.2655898066270051,"score_spread":0.2176544767767071,"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."}}