{"id":"W4388424935","doi":"10.1103/physreve.108.054105","title":"Intercellular competitive growth dynamics with microenvironmental feedback","year":2023,"lang":"en","type":"article","venue":"Physical review. E","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Multicellular organism; Cancer cell; Tumor microenvironment; Biology; Cell biology; Cancer; Mechanism (biology); Cell; Genetics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002704131,0.0003901314,0.0003481803,0.0003981901,0.0004389546,0.0008603069,0.0007040852,0.0007387481,0.001636786],"category_scores_gemma":[0.00129456,0.0001963202,0.0004606617,0.0002175405,0.0009030005,0.0009307851,0.0007857812,0.0004751928,0.0002132965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361387,"about_ca_system_score_gemma":0.0005055541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344996,"about_ca_topic_score_gemma":0.00124853,"domain_scores_codex":[0.9997957,0.00004441252,0.000006857847,0.00005285008,0.00006275796,0.00003730914],"domain_scores_gemma":[0.9994635,0.0002255339,0.0001327434,0.00003650747,0.00006598808,0.00007572977],"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":[0.0001506002,0.0001166279,0.007900606,0.0003563648,0.0001201521,0.001412371,0.000504904,0.3201039,0.1848156,0.4302729,0.003938611,0.05030725],"study_design_scores_gemma":[0.00004467734,0.0001318403,0.00511337,0.00002115032,0.00006055356,0.0006049853,0.0001702968,0.8897973,0.01135609,0.08478577,0.007859527,0.00005433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7548673,0.007358289,0.1887412,0.003328869,0.0003830483,0.00006155525,0.0001939163,0.000340759,0.04472507],"genre_scores_gemma":[0.9928792,0.001185699,0.003254063,0.0000980726,0.00004925956,0.00002567072,0.00002102746,0.00001298631,0.002474108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002344996,"threshold_uncertainty_score":0.009877563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006093249283291278,"score_gpt":0.2435947014628931,"score_spread":0.2375014521796018,"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."}}