{"id":"W2896543401","doi":"10.1038/s41418-018-0213-5","title":"Consensus report of the 8 and 9th Weinman Symposia on Gene x Environment Interaction in carcinogenesis: novel opportunities for precision medicine","year":2018,"lang":"en","type":"review","venue":"Cell Death and Differentiation","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"National Cancer Institute; Medical Research Council; National Institute of General Medical Sciences; University of Hawaiʻi Foundation; International Association for the Study of Lung Cancer","keywords":"Disease; Cancer; Carcinogenesis; Precision medicine; Germline; Bioinformatics; Gene selection; Biology; Computational biology; Genetics; Medicine; Gene; Pathology; Microarray analysis techniques","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":[0.00483087,0.001191186,0.001733788,0.003309077,0.0005975264,0.002254672,0.001594939,0.004451343,0.00906165],"category_scores_gemma":[0.006389422,0.0003761388,0.001484576,0.002077585,0.0006905079,0.002238481,0.002604315,0.004421706,0.004298461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062849,"about_ca_system_score_gemma":0.005501455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788861,"about_ca_topic_score_gemma":0.003773567,"domain_scores_codex":[0.9985902,0.0002538507,0.0002095856,0.0001628755,0.0005439924,0.0002393997],"domain_scores_gemma":[0.996064,0.001091983,0.0004114043,0.0000769245,0.001817108,0.0005385184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000248718,0.00005384061,0.0002311688,0.007401264,0.0001312793,0.0002414714,0.00008360841,0.000261631,0.001068319,0.003558318,0.7353052,0.2514152],"study_design_scores_gemma":[0.00003364441,0.00005518696,0.0003939918,0.002293936,0.0001099956,0.0001714631,0.00003643836,0.00006098064,0.000333039,0.0008461162,0.9956456,0.00001965271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002984206,0.8665792,0.00153087,0.03710436,0.08842367,0.00009344325,0.0004858347,0.00009132818,0.005392738],"genre_scores_gemma":[0.003744044,0.8983124,0.002392723,0.03593168,0.04206466,0.0001950834,0.00106996,0.0000565455,0.01623292],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00906165,"threshold_uncertainty_score":0.03031427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07970692285181719,"score_gpt":0.3110816110938794,"score_spread":0.2313746882420622,"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."}}