{"id":"W2743921188","doi":"10.1016/j.celrep.2017.06.008","title":"Integrative Genomic Analysis of Cholangiocarcinoma Identifies Distinct IDH-Mutant Molecular Profiles","year":2017,"lang":"en","type":"erratum","venue":"Cell Reports","topic":"Cholangiocarcinoma and Gallbladder Cancer Studies","field":"Medicine","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; University of Calgary","funders":"National Cancer Institute; National Institutes of Health; National Human Genome Research Institute; Novo Nordisk Fonden; Cholangiocarcinoma Foundation","keywords":"Intrahepatic Cholangiocarcinoma; Biology; Computational biology; Epigenetics; Mutant; Genetics; ATRX; Gene; Bioinformatics; Mutation; Medicine; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003648997,0.0007391933,0.002574295,0.0008913694,0.0002206433,0.0001068526,0.0003374317,0.0005182713,0.0002137515],"category_scores_gemma":[0.0003918433,0.0005861734,0.001695276,0.0004771497,0.0004445011,0.0000876362,0.000361017,0.0009353642,0.00001349654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002833855,"about_ca_system_score_gemma":0.0008151381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007565317,"about_ca_topic_score_gemma":0.0002044722,"domain_scores_codex":[0.9961973,0.00006820318,0.001230987,0.001178823,0.0008218096,0.0005028615],"domain_scores_gemma":[0.9946749,0.00005394928,0.002131491,0.002291294,0.0006303668,0.0002180542],"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":[0.0002152907,0.0004360734,0.2497231,0.003037187,0.02048921,0.02817811,0.003396769,0.000005019888,0.04715399,0.00001614222,0.6464955,0.0008536624],"study_design_scores_gemma":[0.000539423,0.0002809489,0.8576698,0.000949889,0.02879735,0.0003726589,0.0006398297,0.00004927564,0.0260553,0.0001106618,0.08364013,0.0008947508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6289136,0.06481779,0.0001040102,0.0002482618,0.01393824,0.001654263,0.0003537232,0.0001357954,0.2898343],"genre_scores_gemma":[0.8186834,0.0007135122,0.00006090083,0.00005568648,0.0006305332,0.0001042243,0.002188807,0.00009562526,0.1774672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6079468,"threshold_uncertainty_score":0.9996589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543092488106295,"score_gpt":0.2750118089089577,"score_spread":0.2595808840278948,"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."}}