{"id":"W2397435752","doi":"10.3969/cjcnn.v16i5.1397","title":"Analysis on executive dysfunction of patients with multiple system atrophy and Parkinson's disease","year":2016,"lang":"en","type":"article","venue":"Zhongguo xiandai shenjing jibing zazhi","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digit symbol substitution test; Medicine; Montreal Cognitive Assessment; Parkinson's disease; Trail Making Test; Atrophy; Internal medicine; Parkinsonism; Audiology; Neuropsychology; Neuropsychological test; Cognition; Cardiology; Dementia; Psychiatry; Disease; Pathology","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":[0.0002400258,0.0003800359,0.0003516787,0.0008743407,0.0003100179,0.0003358375,0.0001261354,0.0002232673,0.001100312],"category_scores_gemma":[0.001094506,0.00008684148,0.0002762738,0.0005243064,0.0001597472,0.0002432104,0.0002354088,0.0002185323,0.0001868638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251894,"about_ca_system_score_gemma":0.0001478565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532073,"about_ca_topic_score_gemma":0.001896756,"domain_scores_codex":[0.9998502,0.00003038113,0.00002736599,0.00003482795,0.00003140088,0.00002590937],"domain_scores_gemma":[0.9995179,0.00007207197,0.0001901674,0.00002203982,0.00008386432,0.0001139244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001868052,0.00003492806,0.9972197,0.00001134157,0.00003991703,0.0002687082,0.0000460716,0.00002669147,0.0003313042,0.000005475754,0.00004729049,0.001781669],"study_design_scores_gemma":[0.000008532226,0.0001829145,0.998329,0.000004611499,0.00002257289,0.001084763,0.00009209464,0.00007752801,0.00006444601,0.00001612077,0.000115353,0.000002038955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992034,0.0002623867,0.00003403345,0.00001525673,0.0000030641,0.000004918893,0.0001132043,0.000002079012,0.0003616476],"genre_scores_gemma":[0.9995359,0.00008138584,0.00004366565,0.00001361933,0.000007233903,0.00000471616,0.0002061916,6.289514e-7,0.0001066529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001532073,"threshold_uncertainty_score":0.003680885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006718422221793482,"score_gpt":0.221033032867948,"score_spread":0.2143146106461545,"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."}}