{"id":"W1992022516","doi":"10.1016/j.biomaterials.2005.05.086","title":"Semi-synthetic collagen/poloxamine matrices for tissue engineering","year":2005,"lang":"en","type":"article","venue":"Biomaterials","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Materials science; Self-healing hydrogels; Dynamic mechanical analysis; Polymer; Surface modification; Tissue engineering; Polymer chemistry; Copolymer; Biomedical engineering; Biophysics; Chemical engineering; Composite material","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":[0.0006805505,0.0004642571,0.0001827436,0.0004878162,0.0001937502,0.0002757188,0.0001743865,0.000334953,0.0009905838],"category_scores_gemma":[0.0004782544,0.0002632416,0.0002038032,0.0003021412,0.0002559054,0.0004176337,0.000214745,0.0004599195,0.0004655316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300849,"about_ca_system_score_gemma":0.0002846056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002710737,"about_ca_topic_score_gemma":0.001211887,"domain_scores_codex":[0.999747,0.00005342865,0.00002904735,0.00003296196,0.0001081465,0.00002948672],"domain_scores_gemma":[0.9994454,0.0002157614,0.0001340033,0.00005447057,0.00008047742,0.00006996535],"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":[0.00003207224,0.000008786864,0.00007235551,0.00006076604,0.000003191394,0.00004187691,0.00001192512,0.00003909281,0.9978256,0.000064764,0.00002066839,0.0018189],"study_design_scores_gemma":[0.000008830253,0.0001270821,0.001556454,0.00001557217,0.00001592553,0.0004847565,0.00002022798,0.0003713521,0.9942748,0.00006643178,0.003053293,0.000005269135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416251,0.01915547,0.131294,0.0002817205,0.0002341879,0.0003559543,0.00151737,0.000223243,0.005312988],"genre_scores_gemma":[0.8890966,0.01030743,0.09226371,0.0001934276,0.00007326366,0.0002683211,0.001860065,0.00010446,0.005832703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009905838,"threshold_uncertainty_score":0.003599167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396335291676213,"score_gpt":0.2579556896708585,"score_spread":0.2439923367540964,"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."}}