{"id":"W2945884255","doi":"10.3390/cancers11050714","title":"Targeting the Interplay between Epithelial-to-Mesenchymal-Transition and the Immune System for Effective Immunotherapy","year":2019,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Rural Affairs; Cancer Moonshot; Rexanna's Foundation; Moonshot Research and Development Program; LUNGevity Foundation; University of Texas MD Anderson Cancer Center; Cancer Prevention and Research Institute of Texas; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Immunotherapy; Medicine; Epithelial–mesenchymal transition; Lung cancer; Cancer; Breast cancer; Melanoma; Metastasis; Cancer research; Cancer immunotherapy; Oncology; Cancer stem cell; Immunology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001717125,0.0005194066,0.002144462,0.0001344939,0.0003008663,0.00007726702,0.0003361899,0.0002771466,0.00002035422],"category_scores_gemma":[0.00005926723,0.0002504251,0.0009897299,0.0003506349,0.0003297598,0.00005045309,0.00004151507,0.0004726991,0.00002101264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948369,"about_ca_system_score_gemma":0.0006786588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005544859,"about_ca_topic_score_gemma":0.000004970897,"domain_scores_codex":[0.9976757,0.0004066883,0.0007642074,0.0005060213,0.0002391878,0.0004082182],"domain_scores_gemma":[0.9972633,0.001481138,0.0004620068,0.0006185817,0.0001063507,0.00006865905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002695712,0.000003698707,0.000001771018,0.01656463,0.002443141,0.000001795668,0.001505996,0.000007137108,0.0001390435,0.00009277428,0.0004424629,0.9761018],"study_design_scores_gemma":[0.004744035,0.00040628,0.00001721863,0.02392114,0.002280629,0.0000511563,0.0006099744,0.00004950684,0.0001197985,0.000006082762,0.9674472,0.0003469711],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009534755,0.9844093,0.001359705,0.0005431375,0.001339816,0.0116789,0.0003198879,0.00005873546,0.0001951276],"genre_scores_gemma":[0.002164718,0.9930611,0.00005920635,0.000384357,0.0009838532,0.002670909,0.0001510089,0.0001210911,0.0004037046],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9757549,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783223860640144,"score_gpt":0.328580706908164,"score_spread":0.3107484683017626,"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."}}