{"id":"W2154339166","doi":"10.1186/bcr3434","title":"COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration","year":2013,"lang":"en","type":"letter","venue":"Breast Cancer Research","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Cancer Institute; National Breast Cancer Foundation; Susan G. Komen; National Health and Medical Research Council; Breast Cancer Research Foundation","keywords":"Breast cancer; Missing heritability problem; Heritability; Genetic architecture; Genetic association; Genetics; Positional cloning; Candidate gene; Genetic variation; Allele; Genome-wide association study; Biology; Surgical oncology; Genetic testing; Cancer; Bioinformatics; Medicine; Oncology; Gene; Genotype; Genetic variants; Single-nucleotide polymorphism; Quantitative trait locus; Phenotype","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":[0.003609036,0.0006239512,0.001311512,0.0005969939,0.001704314,0.002160003,0.001140093,0.01559058,0.003613789],"category_scores_gemma":[0.0186199,0.0004887175,0.0006821592,0.0004801633,0.001839887,0.002128044,0.001081051,0.01769858,0.003436118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223357,"about_ca_system_score_gemma":0.001188851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967185,"about_ca_topic_score_gemma":0.00332327,"domain_scores_codex":[0.9967572,0.001482938,0.0002801612,0.0003702783,0.0007877725,0.0003215654],"domain_scores_gemma":[0.9905947,0.006657994,0.0004076933,0.0004101396,0.0009373222,0.0009921493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004515362,0.00008034341,0.00546584,0.000183913,0.0001017932,0.01502802,0.0002192928,0.0002403197,0.001647942,0.008969339,0.8928686,0.07474311],"study_design_scores_gemma":[0.0008079421,0.0003964919,0.009701581,0.0006767339,0.0002175718,0.04992995,0.0005633671,0.007281225,0.002177184,0.06477253,0.8632737,0.00020178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002034692,0.004119894,0.001856848,0.9720694,0.01685864,0.00004498762,0.0001141852,0.0001143303,0.002787077],"genre_scores_gemma":[0.03777621,0.009755155,0.004848453,0.8261561,0.1078498,0.0002833123,0.0001812879,0.0001294642,0.01302026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01559058,"threshold_uncertainty_score":0.0190866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211058081385211,"score_gpt":0.4025293785426623,"score_spread":0.2814235704041411,"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."}}