{"id":"W2908744276","doi":"10.1038/s41375-018-0351-2","title":"TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups","year":2019,"lang":"en","type":"article","venue":"Leukemia","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":259,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Medical Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; Blood Cancer UK; Deutsche Forschungsgemeinschaft; National Cancer Institute; Washington University in St. Louis; Vanderbilt University; National Institute for Health and Care Research; Associazione Italiana per la Ricerca sul Cancro; Celgene","keywords":"Myelodysplastic syndromes; International Prognostic Scoring System; Internal medicine; Monosomy; Karyotype; Biology; Oncology; Chromosome 7 (human); Genetics; Medicine; Chromosome; Bone marrow; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002436928,0.0003894188,0.0006026832,0.0002876187,0.0001604849,0.00009502913,0.0002441709,0.0001627452,0.0008092702],"category_scores_gemma":[0.0005191443,0.0002928454,0.00009227268,0.0006422842,0.0002835987,0.0002347276,0.000150525,0.0005305617,0.001367504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198819,"about_ca_system_score_gemma":0.001362258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007053813,"about_ca_topic_score_gemma":0.0002531776,"domain_scores_codex":[0.9970568,0.0001063721,0.0004070989,0.0006748218,0.0008797717,0.0008751194],"domain_scores_gemma":[0.9978065,0.0007490672,0.0001476693,0.0006304902,0.0002446223,0.0004216203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001603174,0.0001547783,0.971988,0.001439447,0.0004109018,0.001266689,0.001218228,0.0003547427,0.007338852,0.001225923,0.003219278,0.009780047],"study_design_scores_gemma":[0.00476724,0.002014955,0.9744233,0.0004898484,0.0002720272,0.0007785914,0.0003747453,0.009795966,0.0007331371,0.0004282929,0.005434689,0.0004872131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893731,0.0001640095,0.000806413,0.0004363204,0.0001333728,0.001391094,0.00002250721,0.0002763481,0.007396808],"genre_scores_gemma":[0.9925908,0.00002567593,0.003793968,0.0002440605,0.0001545722,0.0001049045,0.0005427871,0.0001028715,0.002440394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009441223,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787749074314261,"score_gpt":0.2753827537101337,"score_spread":0.2575052629669911,"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."}}