{"id":"W2376099042","doi":"","title":"Application of Montreal cognitive assessment cut-off in screening mild cognitive impairment","year":2012,"lang":"en","type":"article","venue":"Zhonghua laonian xin-nao-xueguanbing zazhi","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Medicine; Cognitive impairment; Youden's J statistic; Kappa; Internal medicine; Receiver operating characteristic; Disease; Mathematics","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":[0.006050785,0.0009053819,0.0008209324,0.002587285,0.000348279,0.0008675341,0.0006296542,0.0008614772,0.0005847672],"category_scores_gemma":[0.02216794,0.0002089287,0.000529208,0.0009442358,0.0003667925,0.0006451529,0.0004481462,0.000487617,0.0001477855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006823504,"about_ca_system_score_gemma":0.001007949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057153,"about_ca_topic_score_gemma":0.01089886,"domain_scores_codex":[0.9972169,0.001076657,0.0002360129,0.0003581843,0.0008698825,0.0002423897],"domain_scores_gemma":[0.9960477,0.001591008,0.000730095,0.000105645,0.001123569,0.000401907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001197771,0.0001409612,0.9376806,0.0002186558,0.0003168404,0.0002489643,0.0001476102,0.0008503521,0.0008951211,0.0001997748,0.001428647,0.05667456],"study_design_scores_gemma":[0.0001297156,0.001569919,0.9841591,0.000132545,0.0003363707,0.001132988,0.0002564272,0.00904316,0.0009301657,0.0006452785,0.00162513,0.00003912952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969632,0.01771882,0.006907272,0.0005032367,0.0001582003,0.0003228443,0.0007821108,0.0001569141,0.003818616],"genre_scores_gemma":[0.9929582,0.0009044871,0.005298201,0.00007200462,0.00006195571,0.0001261425,0.000396474,0.000006637397,0.000175964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01057153,"threshold_uncertainty_score":0.03199995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231601326697122,"score_gpt":0.3472088292215137,"score_spread":0.3248928159545426,"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."}}