{"id":"W3175349549","doi":"10.1101/2021.06.29.449991","title":"Spatial epitope barcoding reveals subclonal tumor patch behaviors","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Science and Technology Laboratory; Parker Institute for Cancer Immunotherapy; Cancer Research Institute; Celgene; Tobacco-Related Disease Research Program; Hamilton Health Sciences Foundation; Bill and Melinda Gates Foundation; Cancer Research UK; U.S. Department of Health and Human Services; Kenneth Rainin Foundation; U.S. Department of Defense","keywords":"PTEN; Biology; Phenotype; Somatic cell; Cancer research; Cancer; Cell; Tumour heterogeneity; Epitope; Computational biology; Cell biology; Genetics; PI3K/AKT/mTOR pathway; Gene; Antigen; Signal transduction","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":[0.0001000879,0.0001304332,0.0001054115,0.0002025042,0.00008443258,0.000320341,0.0001148009,0.0001917634,0.000657118],"category_scores_gemma":[0.0001323323,0.0001399927,0.00008095196,0.0001581612,0.0002087811,0.0001629317,0.0002465921,0.000426304,0.0002580997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018702,"about_ca_system_score_gemma":0.00009646176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003783146,"about_ca_topic_score_gemma":0.0008446146,"domain_scores_codex":[0.9999032,0.000007106102,0.000004240529,0.00003483535,0.00002745659,0.00002310965],"domain_scores_gemma":[0.9998232,0.00004735205,0.00005348824,0.00002636453,0.00001946845,0.0000302208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001024497,0.000002261703,0.0002387849,0.000003454446,7.706522e-7,0.000007984418,0.000009914635,0.00005248555,0.999109,0.0000522162,0.000008734529,0.0005042311],"study_design_scores_gemma":[0.000001431401,0.00002918651,0.005234103,9.164375e-7,0.000003056374,0.00008316612,0.00001611881,0.002084784,0.9919559,0.00004184249,0.0005471703,0.000002348638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899639,0.0002063197,0.008794111,0.00003093802,0.000004639913,0.000008030082,0.0001746398,0.00008707046,0.0007303908],"genre_scores_gemma":[0.9936953,0.0001324593,0.004656894,0.00002510203,0.000001972747,0.00001136592,0.0002287216,0.00004355327,0.001204432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000657118,"threshold_uncertainty_score":0.002198279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002984492303344,"score_gpt":0.2237430979602732,"score_spread":0.2137132530372397,"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."}}