{"id":"W3198820242","doi":"10.1371/journal.pcbi.1009348","title":"The role of memory in non-genetic inheritance and its impact on cancer treatment resistance","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; U.S. Department of Energy","keywords":"Population; Biology; Drug resistance; Phenotype; Genetic heterogeneity; Cancer; Disease; Phenotypic plasticity; Genetics; Medicine; Gene; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006020663,0.0002311381,0.0007259996,0.0002794498,0.0003303293,0.001029249,0.0009524213,0.0009790909,0.002051686],"category_scores_gemma":[0.00356126,0.0002802497,0.0006219699,0.000239808,0.0007949814,0.001280533,0.0007901667,0.0006467233,0.000139561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008391064,"about_ca_system_score_gemma":0.0009791474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00370745,"about_ca_topic_score_gemma":0.001842754,"domain_scores_codex":[0.9998022,0.00007399033,0.000009875354,0.00003942535,0.00002889746,0.00004570404],"domain_scores_gemma":[0.9992381,0.0004127797,0.0001404816,0.0000843247,0.00004191768,0.00008244268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009764526,0.00005987327,0.004085895,0.0000694676,0.00004471038,0.0001902449,0.00006909139,0.9398035,0.00722757,0.041075,0.000367582,0.00690942],"study_design_scores_gemma":[0.00003957448,0.00007065821,0.001431354,0.000008133149,0.00002735094,0.0000696389,0.00002959523,0.9773263,0.001076961,0.01932103,0.0005837008,0.00001569182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901555,0.0007681046,0.09918755,0.002098637,0.00007397559,0.00003675324,0.0001694374,0.0001860136,0.007324086],"genre_scores_gemma":[0.9937648,0.0002645385,0.004182072,0.0001230838,0.0000113883,0.00003896622,0.00003795678,0.00002904369,0.001548226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00370745,"threshold_uncertainty_score":0.007371724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00713372349474717,"score_gpt":0.276069120215488,"score_spread":0.2689353967207408,"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."}}