{"id":"W2895568409","doi":"10.1017/s1355617718000759","title":"Automated Indices of Clustering and Switching of Semantic Verbal Fluency in Parkinson’s Disease","year":2018,"lang":"en","type":"article","venue":"Journal of the International Neuropsychological Society","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Western Hospital; University Health Network","funders":"","keywords":"Verbal fluency test; Semantic memory; Psychology; Construct validity; Neuropsychology; Context (archaeology); Cognitive psychology; Cognition; Executive functions; Concurrent validity; Neuropsychological assessment; Clinical psychology; Audiology; Medicine; Psychometrics; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001293034,0.0002995995,0.0002402341,0.002033845,0.000197448,0.0005695886,0.0002904584,0.0002540469,0.0005125317],"category_scores_gemma":[0.005409532,0.0001220434,0.000270087,0.0007039232,0.0004384115,0.0004250876,0.0004907075,0.0002376532,0.000121853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394953,"about_ca_system_score_gemma":0.0002071925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595468,"about_ca_topic_score_gemma":0.002353691,"domain_scores_codex":[0.9994491,0.0002234137,0.00005569842,0.0001100846,0.0001350144,0.00002676586],"domain_scores_gemma":[0.9974101,0.001300085,0.0006401166,0.0002826497,0.0003012092,0.00006577349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009476461,0.000168128,0.8210018,0.0001176485,0.0002730827,0.0001702591,0.0008555281,0.03219987,0.01664923,0.001450845,0.0004742928,0.1256917],"study_design_scores_gemma":[0.00002349855,0.0003139903,0.8679922,0.000017857,0.00004535714,0.0005258772,0.0002366004,0.1203838,0.007201683,0.002731395,0.0004694178,0.00005830124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863224,0.00005905916,0.01260408,0.00001365666,0.000002910688,0.00002834868,0.0002863945,0.00006674885,0.0006163203],"genre_scores_gemma":[0.9946749,0.00001275133,0.004922114,0.0000036095,0.00000298332,0.00002766955,0.0002655802,0.000006663619,0.00008362863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002033845,"threshold_uncertainty_score":0.006838322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015122114258837,"score_gpt":0.3073057754919325,"score_spread":0.2871545543493441,"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."}}