{"id":"W2077682394","doi":"10.1038/sj.leu.2402948","title":"Stem cells and diversity","year":2003,"lang":"en","type":"article","venue":"Leukemia","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Stem cell; Diversity (politics); Biology; Medicine; Computational biology; Genetics; Anthropology; Sociology","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":[0.0002041117,0.00006218655,0.0001194294,0.00003738389,0.0001038394,0.000009831073,0.00004371411,0.00005785739,0.0003535457],"category_scores_gemma":[0.00001647241,0.00005230377,0.00002506645,0.00009414867,0.00004814697,0.00002916164,0.0001087849,0.0001482776,0.0002123344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982417,"about_ca_system_score_gemma":0.0001072664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008014851,"about_ca_topic_score_gemma":0.000004522666,"domain_scores_codex":[0.9992971,0.00004053474,0.0000689272,0.0001599316,0.0002420709,0.0001913822],"domain_scores_gemma":[0.9995425,0.00005391331,0.0000143968,0.0001683476,0.00003354018,0.0001872463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003014338,0.0001338218,0.7569659,0.0008613436,0.0001596852,0.001341782,0.001949189,0.00001140744,0.1349424,0.008779954,0.04514707,0.04940606],"study_design_scores_gemma":[0.00685056,0.0007301955,0.1372828,0.0001669977,0.0001421198,0.0003430907,0.001065136,0.0005556349,0.4664306,0.0006285955,0.3852653,0.0005389602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101034,0.0002361716,0.00004756987,0.00006058797,0.00005883685,0.0001535679,0.000001181214,0.00002344767,0.0893152],"genre_scores_gemma":[0.9728481,0.00006447395,0.0002443051,0.0001601098,0.00002430557,0.000001517472,5.431814e-7,0.000006701616,0.02664991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6196831,"threshold_uncertainty_score":0.3871078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822925441677991,"score_gpt":0.2715909743111523,"score_spread":0.2333617198943724,"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."}}