{"id":"W1999965093","doi":"10.1016/j.biomaterials.2014.10.019","title":"Fabrication of injectable, cellular, anisotropic collagen tissue equivalents with modular fibrillar densities","year":2014,"lang":"en","type":"article","venue":"Biomaterials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Ministère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie; Ministère du Développement Économique, de l’Innovation et de l’Exportation; McGill University","keywords":"Regenerative medicine; Materials science; Fibroin; Tissue engineering; Extracellular matrix; Drug delivery; Biomedical engineering; Decellularization; Mesenchymal stem cell; Biophysics; Nanotechnology; Cell; Chemistry; Cell biology; Biochemistry; Composite material; SILK","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":[0.000288686,0.0003506409,0.0001478087,0.0002764703,0.00009723587,0.0003235447,0.0002737872,0.0002896755,0.0004956852],"category_scores_gemma":[0.0003070599,0.0002193381,0.000206593,0.000154233,0.0001603132,0.0002400114,0.0002179879,0.0003327381,0.0002374215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612559,"about_ca_system_score_gemma":0.000138035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001986769,"about_ca_topic_score_gemma":0.0007407855,"domain_scores_codex":[0.9998651,0.0000126855,0.00001532956,0.00002641769,0.0000531576,0.00002727968],"domain_scores_gemma":[0.9997116,0.00005835632,0.0001122954,0.00004392678,0.00003305179,0.00004081838],"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":[0.0000154954,0.00001357869,0.00008735616,0.00002312519,0.000003281007,0.00003270967,0.00001545593,0.0002736071,0.9978939,0.000157657,0.00002417988,0.001459663],"study_design_scores_gemma":[0.00001002048,0.0001064757,0.001337615,0.000004506192,0.00001251035,0.0001432956,0.00001003068,0.001450646,0.9951924,0.00004476704,0.001682083,0.000005746604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942633,0.0008307475,0.05221855,0.00005295619,0.00007356243,0.00008703931,0.0003707544,0.0002656551,0.00346763],"genre_scores_gemma":[0.9570257,0.0005328816,0.04012903,0.00004434643,0.00001829706,0.00009292083,0.000278579,0.00006114971,0.001817118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004956852,"threshold_uncertainty_score":0.001658201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008305010745433643,"score_gpt":0.1968609665816602,"score_spread":0.1885559558362265,"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."}}