{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01012592,0.0004799702,0.0005452587,0.000809832,0.0002382122,0.0009440495,0.0007769142,0.0004448508,0.0006560833],"category_scores_gemma":[0.0150437,0.0001631797,0.0004813032,0.0007765131,0.0003495774,0.0007534311,0.0006003496,0.001031993,0.000273409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005518768,"about_ca_system_score_gemma":0.0009924949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700837,"about_ca_topic_score_gemma":0.001719357,"domain_scores_codex":[0.9979018,0.001179213,0.0001849789,0.000266081,0.0003901942,0.0000777231],"domain_scores_gemma":[0.9909032,0.006149049,0.0006402521,0.000603759,0.001016871,0.0006869728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009747636,0.001056864,0.4344877,0.0003191793,0.0004622347,0.0004527393,0.0006352815,0.01341158,0.00115411,0.0005825494,0.005182545,0.5412804],"study_design_scores_gemma":[0.0005645963,0.008828623,0.6549255,0.001591435,0.0006773567,0.005688883,0.002173503,0.2873021,0.01136303,0.005880733,0.02082033,0.0001839974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628623,0.01364341,0.01763375,0.002644274,0.0001072956,0.0001855448,0.0004869666,0.0001591766,0.002277269],"genre_scores_gemma":[0.9679881,0.006716935,0.02386363,0.0002710112,0.0001665666,0.00006214388,0.0006440124,0.00004050589,0.0002471525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01012592,"threshold_uncertainty_score":0.05355161,"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."}}