{"id":"W2611919322","doi":"10.1016/j.cell.2017.04.016","title":"An Immune Atlas of Clear Cell Renal Cell Carcinoma","year":2017,"lang":"en","type":"article","venue":"Cell","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":1037,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of General Medical Sciences; National Cancer Institute; European Research Council; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Biology; Mass cytometry; Immune system; Tumor microenvironment; Immunotherapy; Clear cell renal cell carcinoma; Phenotype; Cancer research; Cancer immunotherapy; Renal cell carcinoma; Cell; Immunology; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789775,0.0002822781,0.0002693389,0.0022937,0.0005337321,0.001164299,0.0003726341,0.0005383401,0.00686341],"category_scores_gemma":[0.0001965852,0.0001505002,0.0002591931,0.001018131,0.000533325,0.0008806452,0.0005626185,0.000902989,0.00146355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007990882,"about_ca_system_score_gemma":0.0006406438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898724,"about_ca_topic_score_gemma":0.00434146,"domain_scores_codex":[0.9999086,0.00001584183,0.000005170651,0.00001430924,0.00002651743,0.00002972563],"domain_scores_gemma":[0.9999009,0.000018262,0.00001253435,0.0000113689,0.00002791972,0.00002896816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001070025,0.00009528035,0.01807937,0.00191976,0.0001737738,0.005555452,0.001046361,0.008392472,0.4928225,0.2082001,0.04381052,0.2188344],"study_design_scores_gemma":[0.00007190384,0.0002860645,0.07669101,0.0003733682,0.0002371525,0.01761677,0.001890594,0.01519285,0.09238093,0.07180562,0.7233558,0.00009783987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4762913,0.1020548,0.1273781,0.01643727,0.002840909,0.0002732976,0.0101448,0.004892264,0.2596874],"genre_scores_gemma":[0.9093565,0.01691133,0.03134469,0.00245457,0.0009631639,0.0001026384,0.001524367,0.0003194627,0.03702319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00686341,"threshold_uncertainty_score":0.02296042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075961670165134,"score_gpt":0.234860162938136,"score_spread":0.2241005462364846,"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."}}