{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006603644,0.0001618532,0.0003996306,0.0006393943,0.0006069231,0.002059666,0.0003658372,0.0006185899,0.004552789],"category_scores_gemma":[0.0007392502,0.00009800291,0.00011492,0.0004174266,0.002400675,0.001683361,0.001437755,0.001436183,0.0007687741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007444042,"about_ca_system_score_gemma":0.0004712609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001533093,"about_ca_topic_score_gemma":0.0002710972,"domain_scores_codex":[0.9997453,0.00005124165,0.00001067135,0.00004311178,0.0001137672,0.00003578222],"domain_scores_gemma":[0.9996603,0.0001129474,0.00003285487,0.00004979732,0.000044764,0.00009925666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009818788,0.00002309967,0.001098146,0.000126623,0.00001652403,0.0002517988,0.0008653369,0.0005783759,0.0255224,0.8417066,0.009358398,0.1203546],"study_design_scores_gemma":[0.00002671682,0.00008146179,0.0009567303,0.00006727995,0.00001571289,0.0008064364,0.0005229769,0.0004471808,0.0116926,0.5928615,0.3925105,0.00001096633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2651228,0.223601,0.05372481,0.06455158,0.006823206,0.00007159181,0.0005115987,0.0003327405,0.3852606],"genre_scores_gemma":[0.907446,0.03318172,0.007485555,0.004443564,0.003125098,0.00005892959,0.0002164365,0.00004451999,0.04399813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004552789,"threshold_uncertainty_score":0.0152306,"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."}}