{"id":"W4231879507","doi":"10.21417/bl2020nc","title":"Intratumoral heterogeneity and clonal evolution in liver cancer","year":2020,"lang":"en","type":"dataset","venue":"immuneACCESS","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":18,"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; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation; Agència de Gestió d'Ajuts Universitaris i de Recerca; American Association for the Study of Liver Diseases","keywords":"Somatic evolution in cancer; Cancer; Biology; Liver cancer; Evolutionary biology; Computational biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017732,0.0007588241,0.0008081144,0.001042226,0.0004084923,0.0008992355,0.001436651,0.0009369181,0.005590423],"category_scores_gemma":[0.002568035,0.0002822999,0.000860956,0.001808485,0.0003034594,0.0003187265,0.000871555,0.0006770458,0.00412258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029587,"about_ca_system_score_gemma":0.000783288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852207,"about_ca_topic_score_gemma":0.03552998,"domain_scores_codex":[0.9994799,0.0001167674,0.00005768602,0.0002026541,0.00007482003,0.00006816574],"domain_scores_gemma":[0.9993904,0.0002634911,0.00009462306,0.0001217173,0.00007714547,0.00005258677],"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":[0.001603713,0.0001869325,0.1006165,0.004530372,0.001013531,0.0006022398,0.0001838186,0.01392692,0.004675613,0.00217041,0.8340773,0.03641267],"study_design_scores_gemma":[0.001513419,0.0002699688,0.2444863,0.0008559211,0.0007499729,0.002036922,0.0003296712,0.01963375,0.004415354,0.006334065,0.7192065,0.0001681817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01486712,0.001165368,0.0004769957,0.0002990107,0.00003489339,0.00002029921,0.9820276,0.0003070041,0.0008015231],"genre_scores_gemma":[0.01467435,0.0002784489,0.0008865339,0.0001380769,0.000008686657,0.0000807281,0.9833887,0.0000328146,0.0005117006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01852207,"threshold_uncertainty_score":0.03682852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568317876661977,"score_gpt":0.3187131386462183,"score_spread":0.2930299598795986,"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."}}