{"id":"W4225494940","doi":"10.2139/ssrn.4068146","title":"Microfluidic-Based 3D Bioprinting of Vascular Endothelial Networks Using Alginate-Collagen Based Biomaterials","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"","keywords":"3D bioprinting; Microfluidics; Biomedical engineering; Tissue engineering; Materials science; Chemistry; Nanotechnology; Medicine","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":[0.000198831,0.0002530466,0.0001767492,0.0001911253,0.0001372528,0.0004276404,0.0002048672,0.000333729,0.0005082519],"category_scores_gemma":[0.0001989652,0.0001850699,0.0002527587,0.00012391,0.0001885587,0.0002420514,0.0002658967,0.0003067173,0.0001745144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003716351,"about_ca_system_score_gemma":0.0002203888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005790146,"about_ca_topic_score_gemma":0.001595065,"domain_scores_codex":[0.9998566,0.00001311349,0.00001045251,0.00003883738,0.00004003972,0.00004095544],"domain_scores_gemma":[0.9998498,0.00005589297,0.00004368278,0.00001775766,0.0000137284,0.00001915147],"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":[0.0000180888,0.00001210507,0.00004669029,0.00002435529,0.000002261382,0.00002825093,0.00001900535,0.0003384615,0.9979253,0.00009106215,0.00003471244,0.001459706],"study_design_scores_gemma":[0.000008386653,0.00004812177,0.001020548,0.000004888389,0.000005891705,0.00006271434,0.00000992004,0.005192898,0.992669,0.00004073096,0.000927978,0.000008835915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674223,0.001610669,0.02638744,0.0001064878,0.0001493955,0.00005641815,0.0002058159,0.0002548891,0.003806511],"genre_scores_gemma":[0.9836068,0.0005207983,0.01412422,0.00005821805,0.00002131947,0.00004509614,0.0000632435,0.00002581137,0.00153444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005790146,"threshold_uncertainty_score":0.002696395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088979608466789,"score_gpt":0.2426028810872756,"score_spread":0.2317130850026077,"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."}}