{"id":"W2999160028","doi":"10.1038/s41467-019-14050-z","title":"Intratumoral heterogeneity and clonal evolution in liver cancer","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":356,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Cancer Institute; Deutsche Forschungsgemeinschaft; U.S. Department of Defense; European Commission; Icahn School of Medicine at Mount Sinai; Generalitat de Catalunya; Asociación Española para el Estudio del Hígado; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institutes of Health; Cancer Research UK; American Association for the Study of Liver Diseases; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Science Foundation","keywords":"Biology; Immune system; Transcriptome; Cancer; Liver cancer; Somatic evolution in cancer; Antigen; Single cell sequencing; Phenotype; Epitope; Gene; Computational biology; Genetics; Gene expression; Exome sequencing","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":[0.00003972347,0.00005838842,0.00005829011,0.00001405809,0.0000538876,0.00001319843,0.0002250874,0.0001313369,0.000003015868],"category_scores_gemma":[0.0000811353,0.00006309379,0.00002117949,0.00007618829,0.00006528342,0.00000242579,0.0002592973,0.0002410367,0.000001499588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002207024,"about_ca_system_score_gemma":0.0000692933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000856652,"about_ca_topic_score_gemma":0.005550284,"domain_scores_codex":[0.999634,0.00003161066,0.00008375394,0.0001345754,0.00003634985,0.00007970672],"domain_scores_gemma":[0.9995459,0.00001626482,0.00002756454,0.0003152977,0.00004134548,0.00005367533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002128855,0.0002480406,0.626797,0.00004580624,0.00009098049,0.000005119818,0.0004308273,0.0003987705,0.3168563,0.02463372,0.02138954,0.008891013],"study_design_scores_gemma":[0.0009777176,0.0001699934,0.7428814,0.00002138214,0.00003334737,0.00001058457,0.00007997928,0.004209689,0.01534619,0.0002282733,0.2356799,0.0003615362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302447,0.06266,0.000147401,0.006236614,0.00006737986,0.0001256082,0.00009352075,0.000007123455,0.0004176581],"genre_scores_gemma":[0.9896907,0.007352874,0.001035767,0.001680443,0.0001042339,0.00002285675,0.0001015013,0.000006616609,0.000004988701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3015101,"threshold_uncertainty_score":0.3097189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800220443703083,"score_gpt":0.2913314333770202,"score_spread":0.2733292289399894,"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."}}