{"id":"W4308108258","doi":"10.1016/j.ccell.2022.10.002","title":"Selective advantage of epigenetically disrupted cancer cells via phenotypic inertia","year":2022,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; Merck Sharp and Dohme; Fonds de recherche du Québec; Wellcome Trust; Francis Crick Institute; Cancer Research UK","keywords":"Phenotype; Biology; Cancer cell; Cancer; Cell biology; Genetics; Computational biology; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007183394,0.0001716132,0.0002004908,0.0000273858,0.0001062266,0.000007768002,0.0002619309,0.00006568924,0.0008505702],"category_scores_gemma":[0.000009539775,0.0001888789,0.0001030867,0.0001426579,0.00007149178,0.000002454819,0.0002706954,0.0001241658,0.000003251848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001507651,"about_ca_system_score_gemma":0.0003448965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009789262,"about_ca_topic_score_gemma":0.0006103138,"domain_scores_codex":[0.9988642,0.00004701831,0.0002503484,0.0003909376,0.0001558645,0.0002916322],"domain_scores_gemma":[0.9993103,0.00002200807,0.0001460105,0.0003142851,0.0001089857,0.00009839366],"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":[0.0002047292,0.0001303328,0.002761807,0.00004131508,0.00005695466,0.000002324087,0.0001324563,0.0072514,0.9808474,0.00002895944,0.004672744,0.00386964],"study_design_scores_gemma":[0.0007095634,0.000352157,0.001414789,0.000005743004,0.0000579928,0.000001087276,0.0001239706,0.0002582606,0.9199182,0.00006817035,0.07682375,0.0002662545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967009,0.02441566,0.001814425,0.0001273451,0.001039866,0.0004160202,0.0009514935,0.00001364361,0.004212558],"genre_scores_gemma":[0.9938372,0.003763533,0.0002370495,0.0006669101,0.0002573196,0.0002600874,0.00009107158,0.00004373771,0.0008431353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07215101,"threshold_uncertainty_score":0.9313147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004714068063583013,"score_gpt":0.2378002136815178,"score_spread":0.2330861456179348,"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."}}