{"id":"W7084080821","doi":"10.6084/m9.figshare.30076411","title":"Prognostic utility of the Montreal Cognitive Assessment","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Receiver operating characteristic; Logistic regression; Odds; Cognition; Baseline (sea); Multinomial logistic regression; Cognitive impairment","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":[0.002909356,0.0006352275,0.000465629,0.001835259,0.0002703399,0.0008123612,0.0005107353,0.0004964311,0.001063478],"category_scores_gemma":[0.01655479,0.0001536808,0.0006757582,0.0009772955,0.0002373624,0.0006400168,0.0005366927,0.0005106034,0.0002044433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000642763,"about_ca_system_score_gemma":0.0006604195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165924,"about_ca_topic_score_gemma":0.02035309,"domain_scores_codex":[0.9988605,0.0003766975,0.0001519229,0.0002210346,0.0002727426,0.0001170914],"domain_scores_gemma":[0.9954115,0.001097158,0.001545585,0.000275427,0.001217567,0.0004527538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003061222,0.00001632002,0.9912238,0.00001328825,0.0001713968,0.00003001458,0.00002050705,0.0003376382,0.00007221732,0.00005528382,0.0003992432,0.007354104],"study_design_scores_gemma":[0.00002507393,0.0002987019,0.9933479,0.00002529352,0.0001668613,0.0002555235,0.00004350463,0.00476794,0.0002188052,0.000254122,0.0005711286,0.00002513254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907389,0.002435731,0.001050224,0.0003029498,0.00005406717,0.00003577782,0.002825724,0.00006621088,0.002490328],"genre_scores_gemma":[0.9981397,0.0001811183,0.0004071924,0.00003103466,0.0000281298,0.000011437,0.001038737,0.000002853586,0.0001598162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165924,"threshold_uncertainty_score":0.03299165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648016258301005,"score_gpt":0.2487095483495693,"score_spread":0.2322293857665593,"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."}}