{"id":"W2068674603","doi":"10.1016/j.biomaterials.2007.11.011","title":"Recombinant human collagen for tissue engineered corneal substitutes","year":2008,"lang":"en","type":"article","venue":"Biomaterials","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":241,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; CooperVision; University of Ottawa","keywords":"Self-healing hydrogels; Carbodiimide; Materials science; Tissue engineering; Recombinant DNA; Cornea; Type I collagen; Biomedical engineering; Regeneration (biology); Corneal epithelium; Ophthalmology; Chemistry; Cell biology; Pathology; Medicine; Biochemistry; Polymer chemistry; Biology","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":[0.0007791036,0.0004720868,0.0002187135,0.0006967036,0.0001789297,0.0003574121,0.0002337684,0.0003887991,0.001512997],"category_scores_gemma":[0.0006311733,0.0002173433,0.000284133,0.0003595796,0.0002156155,0.0003516451,0.0001781255,0.0003783269,0.0006155854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014673,"about_ca_system_score_gemma":0.0003165983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000879913,"about_ca_topic_score_gemma":0.001597574,"domain_scores_codex":[0.9996437,0.0001031195,0.00004058996,0.00003827589,0.0001257698,0.00004860086],"domain_scores_gemma":[0.9995586,0.0001620378,0.00007547178,0.00005958626,0.00008864367,0.00005561693],"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":[0.0001491147,0.00003039711,0.0001913297,0.00008974798,0.000007130458,0.000113901,0.00001783939,0.00008253303,0.9947423,0.0001386382,0.0001097858,0.004327342],"study_design_scores_gemma":[0.00001876767,0.0001743842,0.001492679,0.00002796698,0.00003826401,0.0006234478,0.00002309679,0.0005563079,0.9904715,0.00006202408,0.006505424,0.000006145224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816592,0.03845641,0.06665395,0.0005168496,0.0005187499,0.0006702382,0.00262023,0.0003495406,0.008554754],"genre_scores_gemma":[0.9153184,0.01106239,0.06202877,0.000156573,0.00009042275,0.0002072444,0.002529606,0.0001147761,0.008491782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001512997,"threshold_uncertainty_score":0.005061507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04468830867687798,"score_gpt":0.2842197016406259,"score_spread":0.239531392963748,"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."}}