{"id":"W2232780360","doi":"10.1007/s12311-015-0755-8","title":"Nonneurological Involvement in Late-Onset Friedreich Ataxia (LOFA): Exploring the Phenotypes","year":2016,"lang":"en","type":"article","venue":"The Cerebellum","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ataxia; Medicine; Scoliosis; Internal medicine; Surgery","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":[0.0004583457,0.0007823801,0.0003474379,0.001393675,0.0002622856,0.000643321,0.0004890913,0.0004754589,0.001364893],"category_scores_gemma":[0.0005186771,0.0001248787,0.0002922264,0.000584678,0.0008966809,0.000666721,0.0005360919,0.0002655433,0.0001307476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004507324,"about_ca_system_score_gemma":0.000397681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004415172,"about_ca_topic_score_gemma":0.01077555,"domain_scores_codex":[0.9998916,0.00002433196,0.000009868518,0.00003212964,0.00002040252,0.00002165762],"domain_scores_gemma":[0.9997717,0.00004856293,0.00008983277,0.00001698885,0.00002858242,0.0000442893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002698795,0.0004119941,0.5545042,0.0006900055,0.0003789366,0.02039665,0.001404047,0.0008548935,0.3456694,0.002769467,0.0007529157,0.06946859],"study_design_scores_gemma":[0.00003779575,0.0006081802,0.9691645,0.00009406173,0.0001644978,0.01592071,0.0008563872,0.0007613332,0.008823088,0.002263462,0.001286842,0.00001928368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929194,0.003394579,0.0011535,0.0001395725,0.000005086658,0.00001382665,0.0001847722,0.00002316646,0.002166089],"genre_scores_gemma":[0.9973807,0.001047643,0.0008634004,0.00004426001,0.000009634799,0.00000544805,0.0001213787,0.000006796768,0.0005206132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004415172,"threshold_uncertainty_score":0.008778989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07650568030467132,"score_gpt":0.2580701196961568,"score_spread":0.1815644393914855,"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."}}