{"id":"W2020685534","doi":"10.1371/journal.pone.0110714","title":"Nonequilibrium Population Dynamics of Phenotype Conversion of Cancer Cells","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; National Science Foundation","keywords":"Cancer cell; Cell sorting; Carcinogenesis; Biology; Population; Cancer; Dynamics (music); Cell; Phenotype; Cell growth; Evolutionary dynamics; Genetics; Physics; Gene; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146839,0.00009125203,0.0003859774,0.00004905674,0.00001381691,0.000001936641,0.0001293741,0.00008544778,0.0002975855],"category_scores_gemma":[0.0003124817,0.00008008668,0.00004589473,0.00009090563,0.00006589335,0.00003686963,0.00005508852,0.00007243321,0.00001718242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003514745,"about_ca_system_score_gemma":0.00001078155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008558678,"about_ca_topic_score_gemma":0.00002625901,"domain_scores_codex":[0.9991221,0.00005808151,0.0003487595,0.0001231073,0.0002237454,0.0001241623],"domain_scores_gemma":[0.9989347,0.0003579248,0.0002828944,0.0002688601,0.0001174618,0.00003811634],"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":[0.0001444759,0.003361288,0.05879371,0.009688313,0.0004618289,6.581322e-7,0.0004201424,0.00001040499,0.6360311,0.2905717,0.0002382309,0.0002781182],"study_design_scores_gemma":[0.0007349646,0.0002719936,0.005177279,0.00063439,0.0005582953,2.667942e-7,0.00003122404,0.0824305,0.7593817,0.1505373,0.000004152059,0.0002379512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967144,0.00001658155,0.0008018804,0.00009435361,0.00003663361,0.0001899914,0.00002675815,0.00003127774,0.002088173],"genre_scores_gemma":[0.9839928,0.000005943587,0.01569387,0.00001384253,0.00003049891,0.000005684485,0.0000152863,0.00001661415,0.0002255347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400345,"threshold_uncertainty_score":0.326584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03924542832962427,"score_gpt":0.2624761839403852,"score_spread":0.2232307556107609,"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."}}