{"id":"W4304778195","doi":"10.1038/s41596-022-00743-1","title":"Isolation of ready-made rat microvessels and its applications in effective in vivo vascularization and in angiogenic studies in vitro","year":2022,"lang":"en","type":"review","venue":"Nature Protocols","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; Heart and Stroke Foundation; University Health Network; Toronto General Hospital; University of Toronto; Stem Cell Network","funders":"Canadian Institutes of Health Research; Juvenile Diabetes Research Foundation Canada; Canada First Research Excellence Fund; Breakthrough T1D Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"In vivo; In vitro; Isolation (microbiology); Cell biology; Biology; Computational biology; Biomedical engineering; Medicine; Bioinformatics; Biochemistry; Biotechnology","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":[0.00130976,0.001402959,0.0009416277,0.001787818,0.0002544736,0.0008952811,0.001084658,0.0009615696,0.002562958],"category_scores_gemma":[0.0007980696,0.0005304173,0.0005001911,0.001507754,0.0006281727,0.00138397,0.000862185,0.002254601,0.002953902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685758,"about_ca_system_score_gemma":0.0009538629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052317,"about_ca_topic_score_gemma":0.001768676,"domain_scores_codex":[0.9997327,0.00003301859,0.0000251243,0.00003824296,0.0001400766,0.00003084497],"domain_scores_gemma":[0.9997821,0.00009033905,0.00003226977,0.00001444446,0.00005995921,0.00002083982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008595057,0.0001737049,0.0001254669,0.008415868,0.00004671947,0.0002116503,0.00006020529,0.0008004812,0.03435745,0.01276391,0.03321362,0.909745],"study_design_scores_gemma":[0.00002410555,0.0001451367,0.0004918787,0.000935517,0.00006601738,0.0006332204,0.0000235199,0.0002781045,0.01890622,0.002536811,0.9759242,0.00003531705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0006609938,0.9865001,0.005901994,0.0005021867,0.0009149333,0.0000576316,0.0001190885,0.00006066808,0.005282424],"genre_scores_gemma":[0.002078783,0.9890458,0.003717287,0.0002979268,0.0002454805,0.0000733239,0.0002071272,0.00001955497,0.00431466],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002562958,"threshold_uncertainty_score":0.008574009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006248714275103,"score_gpt":0.3826195267461501,"score_spread":0.352557039603399,"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."}}