{"id":"W2956168677","doi":"10.1182/blood.2019000239","title":"Combining gene mutation with gene expression analysis improves outcome prediction in acute promyelocytic leukemia","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; Fundação de Amparo à Pesquisa do Estado de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; American Society of Hematology","keywords":"Acute promyelocytic leukemia; Myeloid leukemia; Anthracycline; Oncology; Medicine; Retinoic acid; Internal medicine; Mutation; Tretinoin; Daunorubicin; Gene; Leukemia; Malignancy; Cancer research; Bioinformatics; Genetics; Biology; Cancer","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":[0.0014453,0.0006385168,0.0007455503,0.001518126,0.0001572562,0.0008616733,0.0002884631,0.0004041839,0.0005115004],"category_scores_gemma":[0.002653466,0.0001836486,0.0004429889,0.0007822832,0.0002395546,0.0002511154,0.0003799847,0.0005044491,0.0002563144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002431853,"about_ca_system_score_gemma":0.0001868618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009467035,"about_ca_topic_score_gemma":0.001360268,"domain_scores_codex":[0.9994367,0.0002413076,0.00003843438,0.00009545515,0.0001425961,0.00004548101],"domain_scores_gemma":[0.9990354,0.0004302461,0.0001675407,0.00007804475,0.0001989568,0.00008985535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004542085,0.0005505932,0.7674725,0.0000897557,0.0004371277,0.0002337962,0.00006896065,0.003760957,0.06157961,0.0002954864,0.001019897,0.1599492],"study_design_scores_gemma":[0.0003460479,0.002811517,0.8065344,0.0000806602,0.000909798,0.001064922,0.0002613655,0.1153791,0.06688859,0.002245696,0.003387668,0.00009032643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870854,0.001977994,0.008511549,0.0004945273,0.00006147759,0.00003884701,0.000256196,0.0001326395,0.001441488],"genre_scores_gemma":[0.9935682,0.0003402124,0.005418465,0.00007956242,0.00004650187,0.00001207955,0.0001391875,0.00001006613,0.0003856503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001518126,"threshold_uncertainty_score":0.007643521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004782189312045509,"score_gpt":0.2202746933664957,"score_spread":0.2154925040544502,"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."}}