{"id":"W2038256128","doi":"10.1002/ana.20917","title":"Genotype–phenotype correlations in tuberous sclerosis: Who and how to treat","year":2006,"lang":"en","type":"letter","venue":"Annals of Neurology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Tuberous sclerosis; Medicine; Pathology; Chromophobe cell; Subependymal giant cell astrocytoma; Angiomyolipoma; Epilepsy; Malignancy; Angiofibroma; Dermatology; Renal cell carcinoma; Clear cell; Kidney; Astrocytoma; Glioma; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002399052,0.0003746795,0.001018976,0.0009206684,0.00006450385,0.00003076718,0.0002599199,0.000888686,0.00008909033],"category_scores_gemma":[0.0002660126,0.0003691476,0.0001328094,0.0005024612,0.000274117,0.00005915015,0.0002095598,0.001911675,0.00008104287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001966103,"about_ca_system_score_gemma":0.0001109677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007861606,"about_ca_topic_score_gemma":0.000319632,"domain_scores_codex":[0.9971626,0.0003313134,0.000464707,0.0007656937,0.0004667769,0.0008088591],"domain_scores_gemma":[0.9981292,0.0005156186,0.0001599628,0.0007400646,0.0003004365,0.0001547542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002313187,0.00009220539,0.0112159,0.0001799359,0.00003847526,0.0004361555,0.00008357888,0.00004150873,0.001873998,0.00003325191,0.9831691,0.002604608],"study_design_scores_gemma":[0.001402789,0.003357798,0.6967003,0.0002435448,0.0001057695,0.000222396,0.000004250466,0.0001335436,0.0003088927,0.000367657,0.2967459,0.0004071246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3768595,0.0006655359,0.00001418948,0.620784,0.00009646449,0.0005704328,0.00005781811,0.00003399338,0.0009181256],"genre_scores_gemma":[0.3082625,0.0002613337,0.0001535766,0.6860365,0.0009944693,0.00008451125,0.0002055395,0.0001338564,0.003867638],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6864232,"threshold_uncertainty_score":0.999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271110890632373,"score_gpt":0.3238283108008711,"score_spread":0.1967172217376338,"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."}}