{"id":"W2159185781","doi":"10.3390/ma3031863","title":"Collagen-Based Biomaterials for Tissue Engineering Applications","year":2010,"lang":"en","type":"article","venue":"Materials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":1225,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital du Saint-Sacrement","funders":"","keywords":"Tissue engineering; Biocompatible material; Regenerative medicine; Biomedical engineering; Nanotechnology; Materials science; Biomaterial; Chemistry; Engineering; Biochemistry","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":[0.0002761708,0.000527352,0.0002530649,0.0006750459,0.0002199773,0.0003510179,0.0002074801,0.0005212208,0.003767078],"category_scores_gemma":[0.0002038936,0.0001464659,0.0002347566,0.0005426508,0.0001377438,0.0003965992,0.0002283915,0.0005013485,0.002607645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219941,"about_ca_system_score_gemma":0.0002062515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002084782,"about_ca_topic_score_gemma":0.0005092453,"domain_scores_codex":[0.9998263,0.00002056151,0.00001462876,0.00002249363,0.0001003578,0.00001570295],"domain_scores_gemma":[0.9999137,0.00001974787,0.00002317704,0.000006675801,0.00002052306,0.00001622957],"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":[0.00006081879,0.00005455298,0.000152163,0.001499445,0.00002215632,0.0003316576,0.00003104573,0.0004155039,0.8998695,0.002060205,0.00255605,0.09294684],"study_design_scores_gemma":[0.00003849842,0.0004422678,0.002903942,0.0003758077,0.00006658683,0.00361857,0.00005430198,0.001530681,0.5628417,0.00206849,0.4260186,0.00004055407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1049057,0.7516745,0.07737733,0.00180025,0.002560247,0.0005206371,0.002118602,0.0006680473,0.05837477],"genre_scores_gemma":[0.3736322,0.4803595,0.09465125,0.001336844,0.001253078,0.0003822434,0.002295563,0.0001240526,0.04596534],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003767078,"threshold_uncertainty_score":0.01260209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005552920567891715,"score_gpt":0.2545360736687609,"score_spread":0.2489831531008691,"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."}}