{"id":"W2943902055","doi":"10.1111/ijlh.13022","title":"Genomic testing in myeloid malignancy","year":2019,"lang":"en","type":"review","venue":"International Journal of Laboratory Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Genetic testing; Computational biology; Disease; DNA sequencing; Biology; Genomics; Genetics; Genome; Cytogenetics; Bioinformatics; Gene; Medicine; Chromosome; Pathology","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":[0.0009959058,0.0005639177,0.0008806062,0.002378772,0.0001958789,0.0008289496,0.0007598722,0.001191008,0.002707386],"category_scores_gemma":[0.002567295,0.0001774084,0.0004893767,0.001654456,0.000608022,0.0009687098,0.0007039318,0.001714344,0.001349795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745071,"about_ca_system_score_gemma":0.00105186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001317746,"about_ca_topic_score_gemma":0.001794299,"domain_scores_codex":[0.9996494,0.00009903367,0.00004967953,0.00005151267,0.0001256784,0.00002460167],"domain_scores_gemma":[0.9989766,0.0006963171,0.00008641496,0.00002772074,0.0001694135,0.00004352064],"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":[0.00003630355,0.00001829902,0.0005039799,0.006633308,0.00006300316,0.0003338697,0.00005299643,0.0002570903,0.0004939498,0.00313908,0.02572441,0.9627437],"study_design_scores_gemma":[0.00001812904,0.00006092123,0.002377189,0.009179709,0.0001434884,0.00606674,0.0001018296,0.000131528,0.0005344193,0.004478607,0.9768835,0.00002394914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001234168,0.9976636,0.0001754477,0.0006709612,0.0002186704,0.000003970844,0.00002089777,0.000007198407,0.00111588],"genre_scores_gemma":[0.001256188,0.9974788,0.0002461197,0.0003974878,0.0002435411,0.000004658791,0.00004021117,0.000001835613,0.0003311912],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002707386,"threshold_uncertainty_score":0.009057105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07841812897691511,"score_gpt":0.3982507409140998,"score_spread":0.3198326119371847,"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."}}