{"id":"W4389442196","doi":"10.1212/wnl.92.15_supplement.p1.1-024","title":"Using the Montreal Cognitive Assessment (MoCA): to Predict Three Month Recovery Following a Stroke (P1.1-024)","year":2019,"lang":"en","type":"article","venue":"Neurology","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Stroke (engine); Cognition; Medicine; Physical medicine and rehabilitation; Cognitive impairment; Psychology; Gerontology; Psychiatry; Engineering","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":[0.001203263,0.001002086,0.0005414645,0.001142121,0.000424485,0.0007407435,0.0006823016,0.0008521716,0.001810613],"category_scores_gemma":[0.004256846,0.000167383,0.0008065588,0.0006614333,0.0002739365,0.0007403761,0.0006693046,0.0007440088,0.0007218905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006472003,"about_ca_system_score_gemma":0.0009337967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060993,"about_ca_topic_score_gemma":0.02108334,"domain_scores_codex":[0.9995418,0.0001396884,0.00004958775,0.00005632683,0.0001412521,0.00007148867],"domain_scores_gemma":[0.9989107,0.0001912026,0.0003511175,0.0000441689,0.0002406251,0.0002621266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002913022,0.0005709725,0.9836094,0.00003204575,0.0003249873,0.00007802479,0.00004341462,0.0004276966,0.000282183,0.00003389273,0.0009848773,0.01069949],"study_design_scores_gemma":[0.0002295962,0.002899536,0.9921934,0.00001629888,0.0001653377,0.0002463776,0.00008037631,0.003138229,0.0003950839,0.00009999723,0.0005112914,0.00002442509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995641,0.0003417546,0.0003255937,0.0001560102,0.00003492076,0.0001943052,0.001345935,0.00003520737,0.001925213],"genre_scores_gemma":[0.9966289,0.0001477034,0.0006122069,0.00005061615,0.00002338386,0.0001054118,0.00149919,0.000006827375,0.0009256628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02060993,"threshold_uncertainty_score":0.04097992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012820070800685,"score_gpt":0.3046471757570062,"score_spread":0.2845189750489993,"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."}}