{"id":"W6892765261","doi":"10.5281/zenodo.1189363","title":"Using Deep Learning To Predict The Mortality Of Leukemia Patients","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Leukemia; MEDLINE; Disease; Myeloid leukemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007480205,0.0003809796,0.000426786,0.0006826135,0.0003449548,0.0008425544,0.0005615727,0.0005484228,0.0016002],"category_scores_gemma":[0.00324652,0.000201255,0.0003375122,0.0005726489,0.000160206,0.0002389239,0.0004616534,0.001051069,0.0006142433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431473,"about_ca_system_score_gemma":0.00277065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2563663,"about_ca_topic_score_gemma":0.360582,"domain_scores_codex":[0.9998031,0.00003934021,0.00001461031,0.00003130922,0.00005334525,0.00005816402],"domain_scores_gemma":[0.9988068,0.0003433801,0.000106788,0.00006625392,0.0004339922,0.0002427796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001245903,0.0002976315,0.8551352,0.00005699416,0.0002157857,0.0001687015,0.00006896281,0.03182386,0.0009056344,0.0005005354,0.02472901,0.0848516],"study_design_scores_gemma":[0.0002028892,0.0003083396,0.4619289,0.0001473952,0.0003096058,0.0002253379,0.0004111269,0.5177055,0.003161448,0.005270553,0.01024926,0.00007972186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698604,0.001783484,0.00760784,0.003963219,0.0002479806,0.00004131221,0.01225284,0.0002453179,0.003997505],"genre_scores_gemma":[0.9824598,0.0007009737,0.002920053,0.0002132644,0.00006909158,0.00002111618,0.009370931,0.00002596554,0.004218854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2563663,"threshold_uncertainty_score":0.5097482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331044284925789,"score_gpt":0.2703197011546357,"score_spread":0.2270092583053778,"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."}}