{"id":"W4255664933","doi":"10.1016/j.actbio.2019.01.046","title":"Corrigendum to “Short peptide analogs as alternatives to collagen in pro-regenerative corneal implants” [Acta Biomater. 69 (2018) 120–130]","year":2019,"lang":"en","type":"erratum","venue":"Acta Biomaterialia","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal; University of Ottawa","funders":"","keywords":"Materials science; Biomedical engineering; Peptide; Regenerative medicine; Cell biology; Engineering; Biology; Biochemistry; Stem cell","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004598863,0.001372598,0.002532895,0.001162757,0.0001775962,0.0003096249,0.0006780691,0.0009985084,0.001821372],"category_scores_gemma":[0.0001911209,0.001158463,0.0003458909,0.0009308232,0.0001135744,0.0002478497,0.0005562814,0.00024827,0.002998514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007947502,"about_ca_system_score_gemma":0.0009914353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004953237,"about_ca_topic_score_gemma":0.001350587,"domain_scores_codex":[0.9939448,0.0003099207,0.00147577,0.001897293,0.0009295688,0.001442658],"domain_scores_gemma":[0.9968479,0.0000539923,0.0004719718,0.001383954,0.0002672717,0.0009749081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002513885,0.0004911394,0.00910672,0.0003302363,0.0008372301,0.002532408,0.0009859682,1.893498e-7,0.2188277,0.00001033976,0.7637509,0.000613224],"study_design_scores_gemma":[0.002547019,0.002993957,0.1197876,0.002210237,0.0005318014,0.0005949521,0.000250056,0.00001784144,0.1640872,0.00002873673,0.7050634,0.001887264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917466,0.0001354362,0.000002922588,0.0008800007,0.08907174,0.004004942,0.003545567,0.0002120399,0.01040075],"genre_scores_gemma":[0.7195007,0.0001282294,0.0001483232,0.0008797005,0.002190998,0.0004444073,0.007685493,0.0002097334,0.2688124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2584116,"threshold_uncertainty_score":0.9999025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445804313926953,"score_gpt":0.3174816968658074,"score_spread":0.2729012654731121,"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."}}