{"id":"W3158602815","doi":"10.1093/bib/bbab164","title":"ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes","year":2021,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Immune system; Biology; Tumor microenvironment; Proportional hazards model; Cell type; Immunotherapy; Computational biology; Cancer; Cell; Cancer research; Immunology; Medicine; Internal medicine; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139937,0.0006878134,0.0007814413,0.001662733,0.0003494881,0.0009820028,0.0004307301,0.0005336636,0.002809742],"category_scores_gemma":[0.002954721,0.0002622416,0.0009078679,0.001250703,0.0003234183,0.0005491127,0.0008377104,0.0006761688,0.001060379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004102681,"about_ca_system_score_gemma":0.0006717002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002962945,"about_ca_topic_score_gemma":0.003873162,"domain_scores_codex":[0.999552,0.00011399,0.00003391709,0.0001601827,0.00007544724,0.00006442142],"domain_scores_gemma":[0.9990609,0.0003671272,0.000202816,0.0001684306,0.0001232349,0.00007739826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003450681,0.0002373086,0.7079725,0.001203466,0.001203384,0.0007062625,0.0004677558,0.05041822,0.1048144,0.00398429,0.02647326,0.09906837],"study_design_scores_gemma":[0.0002445823,0.0006165083,0.5219342,0.0002509013,0.00121545,0.001489687,0.000825785,0.3705257,0.05583358,0.01754062,0.0293303,0.0001927459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8371664,0.00485081,0.08019014,0.001549343,0.000187241,0.0001345578,0.06849978,0.003536236,0.003885502],"genre_scores_gemma":[0.924792,0.001123306,0.03410428,0.0003733802,0.0001131471,0.0001696879,0.03746128,0.000362168,0.001500748],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002962945,"threshold_uncertainty_score":0.009399474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007960249719776684,"score_gpt":0.252850860079909,"score_spread":0.2448906103601323,"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."}}