{"id":"W2966910324","doi":"10.3389/fonc.2019.00842","title":"A Model-System to Address the Impact of Phenotypic Heterogeneity and Plasticity on the Development of Cancer Therapies","year":2019,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenotype; Phenotypic plasticity; Cancer; Biology; Genetic heterogeneity; Computational biology; Cancer stem cell; Cancer cell; Neuroscience; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002625452,0.00009325649,0.000387883,0.00006681865,0.00002623036,0.000002042143,0.00009590353,0.00005492083,0.00002602594],"category_scores_gemma":[0.00001807516,0.00004540619,0.00005557963,0.0001051703,0.00007616811,0.00001009942,0.00004282508,0.0001037616,0.000001065137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003546401,"about_ca_system_score_gemma":0.0003768437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003174406,"about_ca_topic_score_gemma":0.0007450987,"domain_scores_codex":[0.9992994,0.0000708681,0.0002298455,0.0001382842,0.000113573,0.0001480488],"domain_scores_gemma":[0.9995516,0.00009762298,0.0001049887,0.0001591152,0.00004461274,0.00004208329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008069862,0.0005817486,0.7291868,0.0005545437,0.001705459,0.000004364519,0.03010205,0.02596559,0.02911055,0.0004859641,0.008696794,0.1655363],"study_design_scores_gemma":[0.006649386,0.003292031,0.8864291,0.0007814022,0.0002918422,0.00001069328,0.009316197,0.02459192,0.0589412,0.0001349644,0.009188285,0.0003730108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960658,0.0008739057,0.001136128,0.0003143773,0.0002451501,0.0005824849,0.00002467821,0.000003981081,0.0007534777],"genre_scores_gemma":[0.9970335,0.00005793093,0.002630407,0.0001356436,0.00002185413,0.00006389301,7.777443e-7,0.000007894397,0.00004812322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1651633,"threshold_uncertainty_score":0.1851611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539486921590852,"score_gpt":0.3361031693221213,"score_spread":0.3007083001062127,"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."}}