{"id":"W2416614701","doi":"10.1007/978-1-4939-1047-2_3","title":"Preparation and Characterization of Circulating Angiogenic Cells for Tissue Engineering Applications","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Peripheral blood mononuclear cell; Bone marrow; Flow cytometry; Population; Cell; Angiogenesis; Immunology; Fibronectin; Cord blood; Tissue engineering; Pathology; Biology; Cell biology; Medicine; Cancer research; In vitro; Biomedical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007678768,0.0003120709,0.0002470041,0.0002838376,0.0003022957,0.0004187071,0.0002971658,0.0003093961,0.002237128],"category_scores_gemma":[0.0008841282,0.0001535317,0.0001580501,0.0003279168,0.0002203136,0.0002846135,0.0001629914,0.0005047204,0.0007266042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238514,"about_ca_system_score_gemma":0.0004054615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005035292,"about_ca_topic_score_gemma":0.0007580995,"domain_scores_codex":[0.9997112,0.00005623991,0.00003510688,0.00005682802,0.00009351278,0.0000469455],"domain_scores_gemma":[0.9996158,0.0001394849,0.00003798059,0.00005818996,0.0001033519,0.00004522875],"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":[0.00005257592,0.00003011199,0.0001006268,0.00002815789,0.000001804147,0.00002913865,0.00003968775,0.0001103371,0.9956276,0.0002017212,0.000111603,0.003666522],"study_design_scores_gemma":[0.00002603064,0.0001311371,0.0005749572,0.000005830515,0.000006987136,0.00008208372,0.00001413648,0.000883451,0.9936566,0.00009429576,0.004520905,0.000003581066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7485387,0.003354588,0.2389038,0.0004387234,0.0002328698,0.001175983,0.001422118,0.0003375809,0.005595623],"genre_scores_gemma":[0.7692583,0.001751564,0.2154701,0.0002714685,0.0000817437,0.001251705,0.002985115,0.0002478197,0.008682195],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002237128,"threshold_uncertainty_score":0.007483959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172993956812901,"score_gpt":0.3566602213378096,"score_spread":0.3449302817696805,"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."}}