{"id":"W2793294193","doi":"10.1016/j.actbio.2018.01.011","title":"Short peptide analogs as alternatives to collagen in pro-regenerative corneal implants","year":2018,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal; University of Ottawa","funders":"Medical Research Council; Department of Biotechnology, Government of West Bengal; Vlaamse regering; Universiteit Antwerpen; Linköpings Universitet; Fonds Wetenschappelijk Onderzoek","keywords":"PEG ratio; Polyethylene glycol; Regeneration (biology); Self-healing hydrogels; Tissue engineering; Cornea; Biomedical engineering; Materials science; In vitro; In vivo; Biophysics; Recombinant DNA; Peptide; Cell biology; Biochemistry; Chemistry; Medicine; Biology; Polymer chemistry; Ophthalmology","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":[0.0002283131,0.0002787216,0.0001158977,0.0001894983,0.00006326164,0.0002762999,0.0001755876,0.0003297907,0.0007343132],"category_scores_gemma":[0.0001868649,0.0001014831,0.0001472685,0.0001358852,0.0001857965,0.0003085383,0.0001855963,0.0003408834,0.000230665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182799,"about_ca_system_score_gemma":0.0001222611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001516334,"about_ca_topic_score_gemma":0.0002091214,"domain_scores_codex":[0.9998572,0.0000311892,0.00001427864,0.00002538466,0.00005180308,0.0000200195],"domain_scores_gemma":[0.9998159,0.00004067749,0.00007622645,0.00001372921,0.00001989092,0.00003356989],"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":[0.00009163716,0.00001465589,0.00007979933,0.00006652209,0.000002724314,0.00003873356,0.000007741326,0.00008072881,0.9974842,0.00005133442,0.00001077979,0.002071058],"study_design_scores_gemma":[0.00001710259,0.0007982873,0.001344886,0.0000114879,0.00001756156,0.0003542108,0.00001709614,0.0004032126,0.9944293,0.00004146592,0.002559554,0.000005849653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867855,0.005560419,0.005922926,0.00007632364,0.00006494532,0.00006978889,0.0001818868,0.00005165976,0.001286604],"genre_scores_gemma":[0.9882505,0.002244149,0.007923299,0.00008198753,0.00001891772,0.00003562396,0.000156993,0.00001705954,0.001271459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007343132,"threshold_uncertainty_score":0.002456486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787690807975815,"score_gpt":0.3420576217305512,"score_spread":0.3041807136507931,"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."}}