{"id":"W4250351764","doi":"10.1101/2021.08.01.21260883","title":"Immunogenomic intertumor heterogeneity across primary and metastatic sites in a patient with lung adenocarcinoma","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Foundation Medicine; EMD Serono; Genentech; National Institutes of Health; Sierra Oncology; Mirati Therapeutics; Innovent Biologics; Adaptive Biotechnologies; Cancer Prevention and Research Institute of Texas; U.S. Department of Defense; Sanofi; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; American Society of Clinical Oncology; GlaxoSmithKline; University of Texas MD Anderson Cancer Center; Pfizer; Amgen; Conquer Cancer Foundation","keywords":"Epigenomics; Biology; Adenocarcinoma; DNA methylation; Cancer research; Exome sequencing; Lung cancer; T-cell receptor; Mutation; T cell; Immunology; Cancer; Pathology; Medicine; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009539181,0.0002556279,0.0003517681,0.0007779945,0.000648656,0.0003621249,0.0001614768,0.0005169336,0.001076577],"category_scores_gemma":[0.0004118781,0.0002035249,0.0001742897,0.0003248695,0.0002566076,0.0001755398,0.0002946626,0.0003939951,0.000180409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689653,"about_ca_system_score_gemma":0.000139053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824489,"about_ca_topic_score_gemma":0.001783643,"domain_scores_codex":[0.9999001,0.00000813941,0.000006330685,0.00004092657,0.00001596289,0.00002854213],"domain_scores_gemma":[0.9997987,0.00005861352,0.00002812498,0.00001227289,0.00001589278,0.00008641501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008671415,0.000137685,0.6186745,0.00005691201,0.00004815292,0.3213493,0.001146413,0.0007329679,0.04537836,0.0002492125,0.0005065133,0.01085285],"study_design_scores_gemma":[0.00002496359,0.0005946792,0.5380455,0.00001166123,0.00008333506,0.4468337,0.0006282843,0.003130997,0.009289883,0.0003577312,0.0009752482,0.00002397839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989769,0.0001187494,0.0002258835,0.00009009498,0.000003725461,0.000006827971,0.00009720997,0.00001281783,0.0004677486],"genre_scores_gemma":[0.9996436,0.0000355716,0.0001105975,0.00002918008,0.000008904024,0.000001155598,0.00004530513,0.000003630026,0.0001220817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001824489,"threshold_uncertainty_score":0.003627777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183553192870138,"score_gpt":0.2543683597602442,"score_spread":0.2425328278315428,"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."}}