{"id":"W4400211458","doi":"10.1089/ten.tec.2024.0083","title":"Single-Step 3D Bioprinting of Alginate–Collagen Type I Hydrogel Fiber Rings to Promote Angiogenic Network Formation","year":2024,"lang":"en","type":"article","venue":"Tissue Engineering Part C Methods","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ansys (Canada); Carleton University; National Research Council Canada","funders":"","keywords":"Collagen fiber; 3D bioprinting; Fiber; Self-healing hydrogels; Chemistry; Biomedical engineering; Cell biology; Materials science; Tissue engineering; Anatomy; Biology; Medicine; Composite material; Polymer chemistry","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":[0.0002357023,0.0003040498,0.000157924,0.0001946837,0.00009753294,0.0002029225,0.0002314248,0.0002272814,0.000469413],"category_scores_gemma":[0.0001799818,0.0001921637,0.0002819343,0.00009900808,0.000126029,0.0001481876,0.0001664386,0.0002993773,0.0002520687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111718,"about_ca_system_score_gemma":0.0001490292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002828594,"about_ca_topic_score_gemma":0.0009865828,"domain_scores_codex":[0.9998566,0.00001447672,0.00001291947,0.00003669482,0.00004754504,0.00003177383],"domain_scores_gemma":[0.9998061,0.00005527543,0.00008006261,0.00002485687,0.00001400493,0.00001964739],"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":[0.000008559426,0.000007448667,0.0000324453,0.00001658193,0.000002033732,0.00002059754,0.00001042567,0.0001901794,0.9985531,0.00004206798,0.00001755481,0.001098908],"study_design_scores_gemma":[0.000002172422,0.00003517619,0.0003119228,0.000001392282,0.000002373873,0.00005008268,0.000002458441,0.001192938,0.9979166,0.00000680478,0.0004745453,0.000003470858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543102,0.001584208,0.04066747,0.00007759639,0.00007939837,0.00009606553,0.0002386611,0.0003348143,0.002611632],"genre_scores_gemma":[0.9526455,0.0006354389,0.04498821,0.00003985999,0.0000142905,0.00007410999,0.000117419,0.00004711046,0.001438001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000469413,"threshold_uncertainty_score":0.001570344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170996282340004,"score_gpt":0.3363357817118934,"score_spread":0.3046258188884933,"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."}}