{"id":"W2999626196","doi":"10.1016/j.immuni.2019.08.004","title":"The Immune Landscape of Cancer","year":2019,"lang":"en","type":"erratum","venue":"Immunity","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":801,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University of Calgary; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; Cancer Research Institute; Henry M. Jackson Foundation; U.S. Department of Defense","keywords":"Biology; Immune system; Cancer; Computational biology; Immunology; Cancer research; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002924581,0.001313048,0.001029991,0.002170351,0.002167641,0.005474114,0.001592863,0.007937295,0.01739106],"category_scores_gemma":[0.01836743,0.000614214,0.0006738372,0.001092873,0.003190599,0.003937084,0.001581182,0.01283395,0.01063538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764171,"about_ca_system_score_gemma":0.003740698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005198578,"about_ca_topic_score_gemma":0.0126711,"domain_scores_codex":[0.9984261,0.0004208175,0.0001798001,0.0001836349,0.0006639961,0.0001256115],"domain_scores_gemma":[0.9891167,0.006622442,0.0004322239,0.0004531653,0.002655487,0.0007199082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001811084,0.000004072715,0.00003767391,0.00009815149,0.000004416634,0.0001083393,0.00002021437,0.00002033225,0.00003445211,0.003299857,0.9841499,0.01220449],"study_design_scores_gemma":[0.00001189458,0.000007077355,0.0001691748,0.0002354539,0.000008587875,0.0002638924,0.00003898795,0.00004068847,0.00004487002,0.005265033,0.9939056,0.000008637394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00009632767,0.01665271,0.0003255294,0.1831034,0.7904447,0.00001105296,0.0001534608,0.00007388918,0.009138945],"genre_scores_gemma":[0.003875148,0.0390834,0.001359893,0.2304993,0.6204317,0.00004995316,0.0002441289,0.0001451666,0.1043114],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01739106,"threshold_uncertainty_score":0.0581789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556997708612299,"score_gpt":0.2981671059169952,"score_spread":0.2825971288308722,"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."}}