{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002750162,0.0001717224,0.0002802118,0.00008286563,0.0003955179,0.0001218691,0.0001775319,0.0001124445,0.001965085],"category_scores_gemma":[0.00006395145,0.0001620985,0.00004842695,0.0001201429,0.00006661328,0.0002202525,0.00003244018,0.000004010592,0.0003796219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006151347,"about_ca_system_score_gemma":0.00005655642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004559373,"about_ca_topic_score_gemma":0.00001171278,"domain_scores_codex":[0.9987827,0.00005739553,0.0004217743,0.000302196,0.0001500967,0.0002858157],"domain_scores_gemma":[0.9993399,0.00004139691,0.0001772231,0.0002390724,0.0001103874,0.00009204248],"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":[0.00006201717,0.00006537464,0.00003019246,0.00003634944,0.000005509529,0.00001384631,0.0001673664,0.00000175346,0.9949965,0.0004506852,0.004077422,0.00009293764],"study_design_scores_gemma":[0.0005594072,0.0001116373,0.004757412,0.00001342705,0.00001262445,0.00006239021,0.00001553474,0.000008869818,0.9453745,0.00007251403,0.0488037,0.0002079751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940588,0.00002888866,0.0008764385,0.0001083235,0.003659517,0.0006356302,0.0001799187,0.0002658273,0.0001866185],"genre_scores_gemma":[0.9957458,0.00002084869,0.001212031,0.00005869739,0.000408132,0.0001515326,0.0002451839,0.00002901252,0.002128762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04962204,"threshold_uncertainty_score":0.9989473,"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."}}