{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001411642,0.0002138345,0.0003597515,0.0001721045,0.00007643776,0.00004902107,0.0001014478,0.00008172902,0.000495392],"category_scores_gemma":[0.00005033317,0.0001708237,0.0000491644,0.0002877526,0.00008285258,0.0001013039,0.00008319587,0.00002315172,0.0005279525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221222,"about_ca_system_score_gemma":0.00007751078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008205614,"about_ca_topic_score_gemma":0.0004528303,"domain_scores_codex":[0.9987021,0.00007141488,0.0002925082,0.0003869606,0.0001895917,0.0003574169],"domain_scores_gemma":[0.9993739,0.00002199253,0.00004972137,0.000256234,0.00008448832,0.000213715],"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":[0.001729812,0.0003026288,0.1691035,0.00002061649,0.0001883072,0.000735842,0.001301413,5.73039e-8,0.8175335,0.00005476269,0.006558736,0.002470876],"study_design_scores_gemma":[0.000780833,0.0007990978,0.4351267,0.00009119583,0.00003742301,0.0001370234,0.00006424385,0.000006110471,0.5583689,0.00005098887,0.004373143,0.0001644364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954603,0.00001229468,0.000003231983,0.0003517644,0.001110916,0.0006465194,0.0001199907,0.0000580705,0.002236925],"genre_scores_gemma":[0.9971502,0.000008409284,0.0001712278,0.0003455484,0.0004255707,0.00007169271,0.0001528319,0.00002306244,0.001651423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2660232,"threshold_uncertainty_score":0.696599,"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."}}