{"id":"W2149541861","doi":"10.1371/journal.pone.0045484","title":"The Genomic Landscape of TP53 and p53 Annotated High Grade Ovarian Serous Carcinomas from a Defined Founder Population Associated with Patient Outcome","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University Health Centre; Jewish General Hospital; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Lady Davis Institute for Medical Research; McGill University Health Centre; Canadian Institutes of Health Research; Jewish General Hospital; Terry Fox Research Institute; McGill University","keywords":"Biology; Founder effect; Genetics; Serous fluid; Mutation; Population; Comparative genomic hybridization; Gene; Mutant; Genome; Medicine; Allele","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001631676,0.0001265505,0.0002100529,0.0009661341,0.0004425465,0.0004326717,0.0001728537,0.0002268473,0.00143129],"category_scores_gemma":[0.0007769302,0.00007117215,0.0001322257,0.0006951602,0.0002992067,0.00009193873,0.0002267381,0.0001579243,0.0001269362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367719,"about_ca_system_score_gemma":0.0003541516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01762863,"about_ca_topic_score_gemma":0.0236842,"domain_scores_codex":[0.9998257,0.00001985706,0.00001243305,0.00005827182,0.00003761889,0.00004618525],"domain_scores_gemma":[0.9996694,0.00008146288,0.00009582,0.00003044809,0.00006262455,0.00006013144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002414302,0.00001497539,0.978446,0.00001319935,0.00005310725,0.0005008095,0.0002969243,0.00006625921,0.01689773,0.00004222474,0.00006917659,0.003358183],"study_design_scores_gemma":[0.000002477387,0.00003344728,0.9984202,0.000001668456,0.00002196122,0.0006442898,0.0001676663,0.00008746244,0.0004145964,0.00002253667,0.0001817465,0.000001815644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996372,0.00009335422,0.00004825537,0.000007713521,6.517839e-7,0.00000181087,0.0001077195,0.000002019767,0.0001012439],"genre_scores_gemma":[0.9996505,0.00004421266,0.00002970671,0.0000076282,0.000001678441,0.000001876517,0.0001831309,0.000001499963,0.0000798092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01762863,"threshold_uncertainty_score":0.03505206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286495767393179,"score_gpt":0.2054158996186638,"score_spread":0.182550941944732,"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."}}