{"id":"W2586319235","doi":"10.1182/blood.v108.11.2990.2990","title":"Predictors of Blood Transfusion Requirements in Patients Undergoing Autologous Stem Cell Transplantation for Multiple Myeloma.","year":2006,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Multiple myeloma; Transplantation; Platelet transfusion; Autologous stem-cell transplantation; Blood transfusion; Population; Univariate analysis; Hematopoietic stem cell transplantation; Surgery; Internal medicine; Multivariate analysis; Platelet","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":[0.0004151167,0.0001794121,0.0002374036,0.0004870419,0.0002479006,0.0004405563,0.0002236632,0.0003796137,0.001463289],"category_scores_gemma":[0.003753626,0.0001204461,0.000218204,0.0009740312,0.0001350103,0.0003168454,0.0001982214,0.0007325219,0.0001767371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258498,"about_ca_system_score_gemma":0.0003839149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363751,"about_ca_topic_score_gemma":0.001279941,"domain_scores_codex":[0.9996461,0.00008539325,0.00007130098,0.00003847041,0.00011353,0.00004518602],"domain_scores_gemma":[0.9963013,0.001013922,0.001956753,0.00006052469,0.0002583651,0.0004092079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008822442,0.00002089322,0.9978716,0.00001317526,0.00001716387,0.0001498803,0.00002112549,0.00005654585,0.00009383651,0.00000711566,0.0001974392,0.001462818],"study_design_scores_gemma":[0.00001235176,0.0002077479,0.9963075,0.00002088378,0.00004132878,0.002091002,0.00009773221,0.0005584571,0.0001773801,0.00002859367,0.0004516761,0.000005438359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978881,0.0009414292,0.0000882454,0.0001978392,0.00001513559,0.000008630521,0.0003623557,0.000007960391,0.0004902483],"genre_scores_gemma":[0.9992484,0.0001709216,0.00009511162,0.00005906319,0.00002395848,0.000007398648,0.0003126881,0.000002004369,0.00008039974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463289,"threshold_uncertainty_score":0.00489521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652051748870765,"score_gpt":0.2538974040890719,"score_spread":0.2373768866003643,"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."}}