{"id":"W3003155131","doi":"10.1101/2020.01.30.926527","title":"Germline genetic contribution to the immune landscape of cancer","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Calgary","funders":"National Cancer Institute; Associazione Italiana per la Ricerca sul Cancro; Fonds National de la Recherche Luxembourg; Qatar National Research Fund; Society for Immunotherapy of Cancer","keywords":"Biology; Genome-wide association study; Immune system; Germline; Genetics; Quantitative trait locus; Genetic association; Locus (genetics); Heritability; Expression quantitative trait loci; Single-nucleotide polymorphism; Gene; Genotype","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":[0.0002468409,0.0001663608,0.0002347877,0.0005715071,0.0001587836,0.0003751894,0.0001511161,0.0002146021,0.002138814],"category_scores_gemma":[0.0007732799,0.00009287524,0.0001452325,0.00046058,0.0002929555,0.00009932515,0.0002868423,0.00030007,0.0001648193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068496,"about_ca_system_score_gemma":0.0001974046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152248,"about_ca_topic_score_gemma":0.0009707526,"domain_scores_codex":[0.999809,0.00003805653,0.000009681883,0.00007080624,0.00004438503,0.00002816714],"domain_scores_gemma":[0.9996469,0.0001293918,0.0001127092,0.00004287393,0.00002282638,0.00004526097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006046591,0.00004703078,0.7902991,0.0001546477,0.0005278238,0.001503809,0.0001475253,0.001996021,0.1573965,0.002964014,0.001499227,0.04285956],"study_design_scores_gemma":[0.00003422152,0.00007361064,0.9649932,0.00003167981,0.0002518811,0.003918678,0.00009356994,0.002851976,0.01872445,0.004814506,0.004194762,0.00001747636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934863,0.0016865,0.001883539,0.0002497995,0.00001671466,0.000005933686,0.001075195,0.00006988634,0.001526146],"genre_scores_gemma":[0.9986777,0.0002974357,0.0004789736,0.00004057592,0.00001826444,0.000003240403,0.0002646708,0.00001312313,0.0002061126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002138814,"threshold_uncertainty_score":0.007155061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009975297986662609,"score_gpt":0.2413048122798206,"score_spread":0.231329514293158,"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."}}