{"id":"W2911244264","doi":"10.1182/blood-2018-99-118938","title":"Impact of Genetic Profile on Clinical Outcomes in Adults ≥60 with AML: The Princess Margaret Cancer Centre Experience","year":2018,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Myeloid leukemia; Internal medicine; Oncology; Acute promyelocytic leukemia; Leukemia; Cancer; Bone marrow; Myeloid; Gene; Genetics; Biology","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":[0.00066911,0.0001333796,0.000311152,0.0004675428,0.0004895875,0.0006601989,0.0002309326,0.000253343,0.001466049],"category_scores_gemma":[0.002900237,0.0001185458,0.000143919,0.000888606,0.0002208817,0.0004341928,0.0008066703,0.0003387443,0.0002586993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005909298,"about_ca_system_score_gemma":0.0004188031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00779192,"about_ca_topic_score_gemma":0.01016476,"domain_scores_codex":[0.9994747,0.0001349542,0.0000640225,0.0001067407,0.0001375186,0.0000821925],"domain_scores_gemma":[0.9982893,0.0003423741,0.0005240332,0.00006509486,0.0002657001,0.0005135117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002029787,0.00004049914,0.9844798,0.00003070482,0.00002928159,0.001024531,0.0005686974,0.00009476283,0.000506926,0.00004115386,0.00139092,0.01158969],"study_design_scores_gemma":[0.000009394429,0.0002001464,0.9949555,0.00002722636,0.00001975408,0.002031104,0.0007617831,0.0002159423,0.0001495075,0.00003400343,0.001585806,0.000009841643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974692,0.0005445048,0.00006285842,0.0003649364,0.000006237993,0.00001601764,0.0003091914,0.000005316418,0.001221822],"genre_scores_gemma":[0.9984064,0.0004695137,0.0001331469,0.0002270608,0.00002190599,0.00001368511,0.0004815313,0.000005348791,0.0002414087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00779192,"threshold_uncertainty_score":0.01549309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980271563787774,"score_gpt":0.3853389585908751,"score_spread":0.3555362429529974,"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."}}