{"id":"W3138312570","doi":"10.1103/physreve.103.032407","title":"Roles of phenotypic heterogeneity and microenvironment feedback in early tumor development","year":2021,"lang":"en","type":"article","venue":"Physical review. E","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tumor microenvironment; Epigenetics; Phenotype; Cancer; Cancer cell; Biology; Tumor progression; Epigenesis; Cell biology; Cancer research; Genetics; DNA methylation; Gene","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":[0.0004243545,0.0002380898,0.0004964979,0.0002601301,0.0002718854,0.0008852037,0.0007478726,0.0007288043,0.0005269719],"category_scores_gemma":[0.0007104469,0.000215785,0.0003526174,0.0001387782,0.001558673,0.0008480327,0.0006485515,0.0007114201,0.00008402344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025564,"about_ca_system_score_gemma":0.0005674476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073073,"about_ca_topic_score_gemma":0.00138025,"domain_scores_codex":[0.9998114,0.00005792454,0.000007803594,0.00004515476,0.00004054988,0.0000373673],"domain_scores_gemma":[0.9996991,0.0001665436,0.00005009473,0.00002334049,0.00001752441,0.00004349024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002567488,0.00007061633,0.009674286,0.0008811275,0.00009604415,0.001958559,0.0003789509,0.1112727,0.2041358,0.5843635,0.001928646,0.08498292],"study_design_scores_gemma":[0.00008290327,0.0006334026,0.03598579,0.0002461875,0.0001469027,0.003828723,0.0005987652,0.1883718,0.0749012,0.6357623,0.05927625,0.0001658187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6683578,0.1142651,0.1686841,0.01220872,0.0004893878,0.00005587022,0.0001605086,0.0002249312,0.03555352],"genre_scores_gemma":[0.9767568,0.01769848,0.003577007,0.0002177844,0.00008043566,0.00001915353,0.00001964746,0.00001556605,0.001615171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001073073,"threshold_uncertainty_score":0.007440984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100056144222074,"score_gpt":0.2772962985230285,"score_spread":0.2662957370808078,"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."}}