{"id":"W4327734791","doi":"10.1101/2023.03.15.532870","title":"Germline-mediated immunoediting sculpts breast cancer subtypes and metastatic proclivity","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Immunoediting; Germline; Biology; Somatic cell; Breast cancer; Context (archaeology); Cancer; Germline mutation; Genetics; Disease; Cancer research; Gene; Medicine; Internal medicine; Mutation; Immunotherapy","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":[0.0001201195,0.00009845327,0.0001198477,0.0002032527,0.0001182531,0.0002529412,0.0001304609,0.0001761447,0.001559114],"category_scores_gemma":[0.0002594831,0.00007495144,0.000101768,0.0001213542,0.0001491773,0.00009133604,0.0002051667,0.0002559225,0.0001578722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001570905,"about_ca_system_score_gemma":0.00008614117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003836426,"about_ca_topic_score_gemma":0.0005306835,"domain_scores_codex":[0.9998888,0.00001712678,0.000005338588,0.00002513052,0.00002658591,0.00003699006],"domain_scores_gemma":[0.9997558,0.00004012946,0.00009800961,0.00002225121,0.0000188391,0.00006500138],"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":[0.001013973,0.0001422604,0.1521375,0.00003461496,0.00004587053,0.0007409436,0.0001028985,0.000348175,0.8348156,0.0004876636,0.0002249595,0.009905512],"study_design_scores_gemma":[0.00002160807,0.0009982438,0.8953404,0.000009777174,0.00004835732,0.003961947,0.000246006,0.002001151,0.09509038,0.0004408074,0.001830087,0.00001127457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992597,0.0001253156,0.0001183012,0.00001580244,0.000001804753,0.000002643022,0.00003874829,0.000005409235,0.0004323902],"genre_scores_gemma":[0.9996201,0.000036981,0.000042726,0.000009682103,0.000001943266,0.00000164472,0.00003345977,0.000002244998,0.0002512965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001559114,"threshold_uncertainty_score":0.005215764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360056474262942,"score_gpt":0.2396658543518562,"score_spread":0.2260652896092268,"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."}}