{"id":"W2756599346","doi":"10.1111/trf.14327","title":"The Stem Cell Club: a model for unrelated stem cell donor recruitment","year":2017,"lang":"en","type":"article","venue":"Transfusion","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Canadian Blood Services; University Health Network; Ottawa Hospital; University of Manitoba; University of Ottawa; Simon Fraser University; Saskatchewan Science Centre; University of Saskatchewan; University of Regina; University of Toronto; Western University; University of British Columbia; Stem Cell Network; McMaster University","funders":"University of British Columbia; Stem Cell Network; Canadian Blood Services; Doctors of BC; University of Ottawa","keywords":"Stem cell; Ethnic group; Club; Medicine; Immunology; Demography; Family medicine; Biology; Political science; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005348212,0.0001253944,0.0001760595,0.00002829763,0.0008656306,0.00004803852,0.0001571316,0.0002916691,0.00001192968],"category_scores_gemma":[0.000002183231,0.00007139351,0.0001363211,0.00003659335,0.0002141905,0.00004672741,0.00002246311,0.000262231,0.000012478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005089851,"about_ca_system_score_gemma":0.0001101378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003888011,"about_ca_topic_score_gemma":0.00005925891,"domain_scores_codex":[0.9989567,0.00002827591,0.0002549117,0.0002342902,0.0003004245,0.0002253586],"domain_scores_gemma":[0.9990868,0.00008761304,0.0001022289,0.0004829447,0.00009653016,0.0001439028],"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":[0.002453529,0.0007275383,0.0001542466,0.001010209,0.00009033422,0.00001273544,0.00603828,0.0004639156,0.184743,0.005485058,0.00239497,0.7964261],"study_design_scores_gemma":[0.01220675,0.001151777,0.001959023,0.0004781347,0.0004649059,0.000009158674,0.0005719685,0.8370019,0.07030418,0.00406237,0.07139239,0.0003974472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051649,0.001721141,0.1170351,0.05881551,0.001325708,0.006239105,0.00004670581,0.0001639861,0.009487834],"genre_scores_gemma":[0.9730915,0.001735852,0.0003987283,0.0001814359,0.00008914783,0.00009839726,0.00001893979,0.00002535319,0.02436057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.836538,"threshold_uncertainty_score":0.6657819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003996454120161,"score_gpt":0.326678232532636,"score_spread":0.2262785871206199,"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."}}