{"id":"W2776084560","doi":"10.1016/j.cobme.2017.12.003","title":"The use of microfabrication technology to address the challenges of building physiologically relevant vasculature","year":2017,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"CIHR Skin Research Training Centre; Canadian Institutes of Health Research; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Microfabrication; Microscale chemistry; Tissue engineering; Computer science; Nanotechnology; Biochemical engineering; Biomedical engineering; Materials science; Engineering; Pathology; Medicine","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":[0.001331944,0.0008394083,0.001364111,0.001678691,0.0002419385,0.001714571,0.001205357,0.001769749,0.002217574],"category_scores_gemma":[0.001391895,0.0003735637,0.0006792668,0.001339782,0.00100916,0.00211827,0.001011195,0.002769022,0.001441514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605518,"about_ca_system_score_gemma":0.0008799206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006931128,"about_ca_topic_score_gemma":0.001190713,"domain_scores_codex":[0.9995986,0.00004943003,0.00003159901,0.0000727557,0.0002104812,0.00003730378],"domain_scores_gemma":[0.9989862,0.0006186038,0.0001283543,0.0000455348,0.0001791185,0.00004212461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004725163,0.00008927441,0.0002424282,0.01374494,0.00008662754,0.0003415931,0.00009960856,0.001180138,0.03437326,0.01850403,0.01251434,0.9187765],"study_design_scores_gemma":[0.00002135466,0.00016187,0.0009523284,0.001766336,0.0001514604,0.002157335,0.00008805125,0.0009342553,0.01915393,0.007138245,0.9674174,0.0000573208],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005084344,0.993607,0.002916784,0.0006108584,0.0003614287,0.000008688095,0.00001855766,0.00002054187,0.001947634],"genre_scores_gemma":[0.003923237,0.992088,0.002062939,0.0003971819,0.0003411393,0.0000140052,0.00004528994,0.000006980785,0.001121362],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002217574,"threshold_uncertainty_score":0.007418454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035736584243108,"score_gpt":0.4227895435094909,"score_spread":0.2192158850851801,"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."}}