{"id":"W4361244019","doi":"10.1158/0008-5472.c.6495792","title":"Data from Gene Expression Profiling of Childhood Adrenocortical Tumors","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Cancer Institute; National Institutes of Health; American Lebanese Syrian Associated Charities; Association pour la Recherche sur le Cancer","keywords":"Adrenocortical carcinoma; Gene expression profiling; Adrenal cortex; Gene expression; Microarray; Gene; Biology; Cancer research; Microarray analysis techniques; Northern blot; Epigenetics; Disease; Pathology; Bioinformatics; Medicine; Endocrinology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002395481,0.0002971143,0.0007683771,0.0001326678,0.00003486593,0.00001332201,0.0006167268,0.0003156479,0.0008680866],"category_scores_gemma":[0.0003613881,0.0002174539,0.0001476538,0.0001367467,0.00008229704,0.00004392677,0.002971424,0.0008943942,0.0002714937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002475707,"about_ca_system_score_gemma":0.0004310517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002873217,"about_ca_topic_score_gemma":0.00001353592,"domain_scores_codex":[0.9975566,0.00005398814,0.0007088252,0.000891605,0.0005082273,0.0002807508],"domain_scores_gemma":[0.9973279,0.0001473552,0.0002451673,0.001994726,0.00008325938,0.0002016558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008043597,0.01444457,0.2683414,0.01210921,0.007776072,0.06180156,0.006997951,0.003271707,0.4265037,0.002875583,0.1689587,0.01887593],"study_design_scores_gemma":[0.002463584,0.000235001,0.2095318,0.005059015,0.0008249874,0.0004838311,0.0004351808,0.006285425,0.7678908,0.005845219,0.0001336114,0.0008115845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890755,0.0005316015,0.004698019,0.0003488626,0.0005299428,0.0008775244,0.001980515,0.0003236853,0.001634342],"genre_scores_gemma":[0.947543,0.0000300661,0.03849063,0.0001495937,0.0009728199,0.00003528957,0.0115295,0.00008313697,0.001165993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3413871,"threshold_uncertainty_score":0.9504939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101728494581747,"score_gpt":0.3371513929275348,"score_spread":0.2354228983457878,"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."}}