{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007463995,0.000112426,0.0001641805,0.00001798627,0.00008433442,0.00002146548,0.00006436369,0.00008459137,0.000004717834],"category_scores_gemma":[0.00009330231,0.00008507929,0.00002498343,0.00005074867,0.00003391088,0.000003758881,0.00006125447,0.00005425002,0.000001115648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002705539,"about_ca_system_score_gemma":0.00002394648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008457101,"about_ca_topic_score_gemma":0.0006446586,"domain_scores_codex":[0.9992944,0.0000377639,0.0001997521,0.00015514,0.0001160477,0.0001968682],"domain_scores_gemma":[0.99944,0.00006301377,0.0001504565,0.000212454,0.00006781551,0.00006631907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001351602,0.000327204,0.9163694,0.00000843336,0.0003322708,7.223703e-7,0.0001325597,0.00002691589,0.08235363,0.0001093504,0.00004467806,0.0001597118],"study_design_scores_gemma":[0.0009472509,0.0002694278,0.9865626,0.00001628341,0.0001929289,0.000001021029,0.00005032455,0.0001122548,0.01148231,0.0001370782,0.00008232489,0.0001462651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981912,0.001202704,0.00003285672,0.0001234906,0.00005116739,0.0002027217,0.0001512886,0.000007199297,0.00003740602],"genre_scores_gemma":[0.9983872,0.0001171825,0.0006105137,0.0001025706,0.00009064211,0.00001658869,0.0006266083,0.00002162404,0.00002709221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07087132,"threshold_uncertainty_score":0.3469433,"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."}}