{"id":"W2066438682","doi":"10.1002/mabi.201200060","title":"Mechanical and Biological Performances of New Scaffolds Made of Collagen Hydrogels and Fibroin Microfibers for Vascular Tissue Engineering","year":2012,"lang":"en","type":"article","venue":"Macromolecular Bioscience","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Foreign Affairs and International Trade Canada","keywords":"Fibroin; Microfiber; Tissue engineering; Self-healing hydrogels; Scaffold; Materials science; Adhesion; Biomedical engineering; Chemistry; SILK; Composite material; Polymer chemistry","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":[0.000282281,0.0002955415,0.00009546451,0.0002143007,0.00009872421,0.0001747575,0.00008770725,0.0002220168,0.0002986253],"category_scores_gemma":[0.0002488009,0.0001445046,0.000133822,0.00007726008,0.0001620555,0.0001906769,0.00008087658,0.0001697345,0.00006640924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548032,"about_ca_system_score_gemma":0.000106058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977372,"about_ca_topic_score_gemma":0.001010365,"domain_scores_codex":[0.9998977,0.00001565004,0.000007326741,0.00001435512,0.00004675568,0.00001832064],"domain_scores_gemma":[0.9997857,0.00006653735,0.00005939474,0.000009837489,0.0000279944,0.00005051975],"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":[0.00003049586,0.00001243794,0.0001404669,0.00001613622,0.000002472933,0.00001646199,0.000008904473,0.00006274709,0.9991717,0.0000136131,0.000005032828,0.0005195412],"study_design_scores_gemma":[0.00001292018,0.0005093647,0.00544551,0.000004361784,0.00001808555,0.000193233,0.00001369861,0.0009439875,0.9919996,0.0000183146,0.0008338084,0.000007106433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966457,0.001350078,0.001586593,0.00002171279,0.00001837041,0.000009104028,0.00005042995,0.00001668245,0.0003011443],"genre_scores_gemma":[0.9962544,0.0005796722,0.002649209,0.00001912865,0.00001259015,0.0000118862,0.00008888493,0.000007380477,0.0003768411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0002986253,"threshold_uncertainty_score":0.001492918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492432819907744,"score_gpt":0.2469376812406117,"score_spread":0.2320133530415342,"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."}}