{"id":"W4308377062","doi":"10.1136/jitc-2022-sitc2022.0009","title":"9 A pan-cancer multi-omic immune single-cell atlas for cancer immunotherapy: focus on CD4+ T cells","year":2022,"lang":"en","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"National Cancer Institute; Society for Immunotherapy of Cancer; Parker Institute for Cancer Immunotherapy; AstraZeneca; Bristol-Myers Squibb","keywords":"Immunotherapy; Cancer immunotherapy; T cell; Immune system; Computational biology; CD8; Metadata; Cancer; Transcriptome; Biology; Computer science; Immunology; Gene expression; World Wide Web; Gene; 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":[0.001889881,0.0007019838,0.001082048,0.003356169,0.001217995,0.002919822,0.001362129,0.001020286,0.01601798],"category_scores_gemma":[0.002474011,0.0004669894,0.001327456,0.004926803,0.0003981229,0.001046184,0.002883451,0.001206036,0.009272143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404147,"about_ca_system_score_gemma":0.004003821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00583415,"about_ca_topic_score_gemma":0.01243541,"domain_scores_codex":[0.9987202,0.0002154809,0.0001053836,0.0003915998,0.0003743955,0.0001929572],"domain_scores_gemma":[0.9984123,0.0002621565,0.0001985322,0.0003945909,0.0005108353,0.0002216361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001318178,0.0001022262,0.0320021,0.009788249,0.00141114,0.0007230468,0.0008821379,0.007018046,0.2212042,0.02052952,0.5400855,0.1649356],"study_design_scores_gemma":[0.0000920095,0.0001188369,0.03322303,0.0005474788,0.0004417117,0.0006592183,0.0003256711,0.00415589,0.03265517,0.00873412,0.9189578,0.00008909494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03634208,0.009252248,0.06649049,0.003034082,0.001135585,0.0004546023,0.8326893,0.02042402,0.03017747],"genre_scores_gemma":[0.06266934,0.003979183,0.08695592,0.002480086,0.0003388586,0.00114555,0.8320281,0.001964894,0.008438053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01601798,"threshold_uncertainty_score":0.05358547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084014766086725,"score_gpt":0.2421016212652757,"score_spread":0.2212614736044084,"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."}}