{"id":"W2086678943","doi":"10.1634/theoncologist.2009-0042","title":"Studying Genetic Variations in Cancer Prognosis (and Risk): A Primer for Clinicians","year":2009,"lang":"en","type":"review","venue":"The Oncologist","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Candidate gene; Single-nucleotide polymorphism; Computational biology; Genome-wide association study; Genetic association; Primer (cosmetics); Bioinformatics; Gene; Genetic variation; Genetics; Genotype; Biology","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":[0.007285472,0.00129564,0.003172957,0.003291435,0.0006020493,0.002428651,0.002074348,0.004710992,0.002315082],"category_scores_gemma":[0.01436284,0.0005190832,0.0007368806,0.002210206,0.002612363,0.006997971,0.001548544,0.008836231,0.002582642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307907,"about_ca_system_score_gemma":0.002486046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388079,"about_ca_topic_score_gemma":0.002794188,"domain_scores_codex":[0.9983583,0.000749759,0.0002375209,0.0001334056,0.0004723105,0.00004862556],"domain_scores_gemma":[0.9914643,0.005954001,0.0003037047,0.0002411802,0.001598136,0.0004385635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001224786,0.0001664451,0.004755885,0.003482356,0.0001144092,0.001289288,0.0004295374,0.0003595699,0.001027014,0.008923066,0.1581959,0.821134],"study_design_scores_gemma":[0.0001170847,0.0003320675,0.01476642,0.02043876,0.0002705837,0.01538654,0.002354519,0.001013686,0.0008211182,0.1045342,0.8397505,0.0002144899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005228241,0.9034368,0.006515513,0.08374315,0.002638671,0.00003664371,0.0001218246,0.0001114485,0.002873121],"genre_scores_gemma":[0.00513062,0.9569311,0.01458624,0.0151374,0.006210681,0.0001031355,0.0001219885,0.00002909703,0.001749758],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007285472,"threshold_uncertainty_score":0.03852975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09955752394625256,"score_gpt":0.4293655560473131,"score_spread":0.3298080321010605,"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."}}