{"id":"W7108000850","doi":"","title":"A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study","year":2023,"lang":"en","type":"article","venue":"DZNE Pub","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sächsische Aufbaubank; Bundesministerium für Gesundheit; Bundesministerium für Bildung und Forschung","keywords":"Verbal fluency test; Cognition; Semantic memory; Fluency; Neuropsychology; Latent semantic analysis; Word (group theory); Set (abstract data type)","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":[0.01026265,0.0009077945,0.0006566585,0.001315521,0.0005722182,0.0008535043,0.0009554869,0.0007057646,0.001369237],"category_scores_gemma":[0.01441171,0.0003336663,0.001301961,0.0006256418,0.0004722592,0.001124735,0.0007318049,0.00064995,0.0005920809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844976,"about_ca_system_score_gemma":0.0006662682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009858817,"about_ca_topic_score_gemma":0.007663324,"domain_scores_codex":[0.9981384,0.00125542,0.00007222443,0.0003219213,0.0001383307,0.00007365419],"domain_scores_gemma":[0.993707,0.003420764,0.000700836,0.0007784034,0.001059949,0.0003330341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005786887,0.00411411,0.8968648,0.0001176585,0.001038851,0.000182517,0.001357717,0.02184118,0.002908581,0.0004757488,0.001317086,0.0639948],"study_design_scores_gemma":[0.0003321044,0.004245244,0.4565014,0.0000428167,0.0005122317,0.0002739771,0.0009571924,0.5340276,0.001351033,0.001129849,0.0005497249,0.00007675056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878917,0.00006103754,0.01122298,0.00003705794,0.00001125769,0.0002312023,0.0002781794,0.00005952367,0.0002070416],"genre_scores_gemma":[0.9906467,0.00003125215,0.008044051,0.0000155774,0.00001442919,0.0002377308,0.0008041592,0.00001877377,0.0001872405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026265,"threshold_uncertainty_score":0.05427474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556048083275246,"score_gpt":0.276797417420287,"score_spread":0.2612369365875346,"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."}}