{"id":"W1998678821","doi":"10.1016/j.cjca.2014.07.236","title":"GENERATION AND UTILIZATION OF HUMAN UMBILICAL VEIN ENDOTHELIAL CELLS-DERIVED-IPS FOR STUDYING ENDOTHELIAL GENE REGULATION","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Hospital Edmonton","funders":"","keywords":"Umbilical vein; Medicine; Induced pluripotent stem cell; Endothelial dysfunction; Phenotype; Endothelial stem cell; Vascular endothelial growth factor B; Cell biology; Function (biology); Gene; In vitro; Human Induced Pluripotent Stem Cells; Bioinformatics; Cancer research; Embryonic stem cell; Vascular endothelial growth factor A; Genetics; Vascular endothelial growth factor; Biology; Internal medicine; VEGF receptors","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004019446,0.0002738522,0.0002235583,0.0003501689,0.0002731487,0.0003653362,0.0003746295,0.0003027877,0.001334811],"category_scores_gemma":[0.0001751826,0.0001902505,0.0003214439,0.0002249206,0.0001734244,0.0002694833,0.0002744822,0.0006705573,0.0004389884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181466,"about_ca_system_score_gemma":0.000321355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007220006,"about_ca_topic_score_gemma":0.0009592546,"domain_scores_codex":[0.9998158,0.00001711063,0.00002897092,0.00004021922,0.00006439909,0.00003361419],"domain_scores_gemma":[0.9999058,0.00001797258,0.00001647612,0.00002560365,0.00002040989,0.00001379657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000304159,0.00002494004,0.0001756613,0.00002787027,0.000005120134,0.00009901998,0.00004024283,0.0001399671,0.9953011,0.0008713846,0.00005763833,0.003226715],"study_design_scores_gemma":[0.000008588262,0.00004126094,0.001221755,0.000005061298,0.00002363585,0.0002146761,0.00001676084,0.0007880198,0.9922826,0.0001389523,0.005255001,0.000003705271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8162993,0.002158953,0.159386,0.0001918205,0.0002311107,0.000761712,0.0037953,0.0005609291,0.01661492],"genre_scores_gemma":[0.9202201,0.001677383,0.06088421,0.0001406846,0.00002846612,0.0004803697,0.004503953,0.0001803116,0.0118846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001334811,"threshold_uncertainty_score":0.004465401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04791003189690537,"score_gpt":0.2828759087155637,"score_spread":0.2349658768186584,"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."}}