{"id":"W4387241670","doi":"10.1159/000533665","title":"Machine Learning for the Prediction of Survival Post-Allogeneic Hematopoietic Cell Transplantation: A Single-Center Experience","year":2023,"lang":"en","type":"article","venue":"Acta Haematologica","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Polytechnique Montréal; University of Toronto","funders":"","keywords":"Hematopoietic cell; Transplantation; Hematopoietic stem cell transplantation; Single Center; Center (category theory); Haematopoiesis; Immunology; Medicine; Oncology; Internal medicine; Biology; Stem cell; Genetics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002972844,0.0001971171,0.0004289035,0.0001163684,0.0001889967,0.00001684419,0.0001720007,0.0001410701,0.0001444232],"category_scores_gemma":[0.0001261833,0.0001326213,0.0001752294,0.0003753535,0.0001275385,0.00007379711,0.00001969897,0.0001625549,0.00003020758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002175446,"about_ca_system_score_gemma":0.00004135495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001550066,"about_ca_topic_score_gemma":0.000008964775,"domain_scores_codex":[0.9983798,0.00009295195,0.0005146263,0.0003244801,0.0003645653,0.0003236354],"domain_scores_gemma":[0.9983435,0.0009626076,0.0001782824,0.0002786708,0.0001562618,0.0000806223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002862034,0.001092573,0.3100857,0.007997763,0.0003151303,0.0004651953,0.03156143,0.0002984262,0.6422951,0.001107706,0.0005145815,0.001404315],"study_design_scores_gemma":[0.01997213,0.006030113,0.2516869,0.002033671,0.002273245,0.009712399,0.02152597,0.01468373,0.6574191,0.000442665,0.01293094,0.001289018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892327,0.000199801,0.005449549,0.001573153,0.0003455998,0.001334146,0.0001261991,0.0002830389,0.001455802],"genre_scores_gemma":[0.9978268,0.0004825801,0.0005193038,0.0001144396,0.00003884826,0.0002354773,0.0004208728,0.00003063434,0.0003310015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0583988,"threshold_uncertainty_score":0.5408141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04920303040806177,"score_gpt":0.2765602911903972,"score_spread":0.2273572607823354,"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."}}