{"id":"W2467963511","doi":"10.1007/s12311-016-0810-0","title":"Can Latent Class Analysis Be Used to Improve the Diagnostic Process in Pediatric Patients with Chronic Ataxia?","year":2016,"lang":"en","type":"article","venue":"The Cerebellum","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"George & Fay Yee Centre for Healthcare Innovation; Children's Hospital of Winnipeg; University of Manitoba","funders":"Manitoba Medical Service Foundation","keywords":"Ataxia; Medicine; Hypotonia; Medical diagnosis; Cohort; Latent class model; Pediatrics; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001299164,0.0002247207,0.000202457,0.0001508321,0.0001863175,0.00005470353,0.0007341323,0.00002897261,0.00006838104],"category_scores_gemma":[0.0008844942,0.00009550547,0.00007438155,0.001512929,0.0001492283,0.00006698082,0.000156257,0.0001145564,0.00005641747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166457,"about_ca_system_score_gemma":0.0001651298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006895223,"about_ca_topic_score_gemma":0.002115582,"domain_scores_codex":[0.997852,0.0002994716,0.0002343833,0.000602083,0.0005356834,0.0004763655],"domain_scores_gemma":[0.9979866,0.0009251375,0.0001316805,0.0007399817,0.00007986836,0.0001366902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007825021,0.0002673069,0.9766085,0.00002482446,0.00003594663,0.000008080589,0.0009931009,0.00462934,0.01635903,0.0000634719,0.0002619801,0.0006701638],"study_design_scores_gemma":[0.001093168,0.0003385994,0.8581814,0.0000123014,0.0003513021,3.349517e-7,0.0000257567,0.00020585,0.1393363,0.0000982705,0.00008897896,0.0002677829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933908,0.00002959923,0.00005074719,0.005160169,0.0001207751,0.001040753,0.0001417595,0.00003057631,0.00003482666],"genre_scores_gemma":[0.998347,0.00002397835,0.000002068311,0.0009172892,0.00009503623,0.0002336947,0.000003291003,0.00002944266,0.0003481273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229773,"threshold_uncertainty_score":0.38946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572257429779618,"score_gpt":0.2371562286892251,"score_spread":0.2214336543914289,"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."}}