{"id":"W338138668","doi":"10.20381/ruor-19134","title":"Donor selection for patients undergoing allogeneic hematopoietic stem cell transplantation: Assessment of the priorities of Canadian hematopoietic stem cell transplant physicians","year":2009,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stem cell; Hematopoietic stem cell transplantation; Haematopoiesis; Transplantation; Selection (genetic algorithm); Hematopoietic stem cell; Medicine; Hematopoietic cell; Oncology; Internal medicine; Biology; Computer science; Genetics","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":[0.002881828,0.0001112059,0.000302717,0.001343431,0.0020847,0.00099293,0.000569527,0.0003373641,0.001425227],"category_scores_gemma":[0.01725122,0.000130242,0.0003671833,0.003708315,0.0004228746,0.0003853872,0.0006571468,0.0004247471,0.00007208916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009911792,"about_ca_system_score_gemma":0.0377775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6286592,"about_ca_topic_score_gemma":0.8410509,"domain_scores_codex":[0.9980906,0.0005275232,0.0001561996,0.00009780447,0.0008165906,0.0003112645],"domain_scores_gemma":[0.9905185,0.00230084,0.002619009,0.00007713091,0.002616704,0.00186782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001800175,0.00005329423,0.9216334,0.001051031,0.0001443787,0.0002703948,0.005291611,0.0001017037,0.0001402696,0.0003312731,0.006247845,0.0645548],"study_design_scores_gemma":[0.00005095528,0.0001024011,0.9709183,0.001114805,0.0002232863,0.0004146951,0.01877584,0.0001664011,0.0001059956,0.0001467896,0.007952672,0.00002782061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522482,0.02483685,0.0001394326,0.01238961,0.00009081321,0.0001173876,0.001024966,0.00000445697,0.009148322],"genre_scores_gemma":[0.9884546,0.01005814,0.0002960733,0.0006258563,0.00002500782,0.0000234343,0.0002816086,0.00000132221,0.0002338901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3713408,"threshold_uncertainty_score":0.7470553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781702509853894,"score_gpt":0.2895720857505724,"score_spread":0.2617550606520335,"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."}}