{"id":"W4406591723","doi":"10.1111/aos.17264","title":"In‐situ printing of GelMa‐based hydrogels for cornea regeneration","year":2025,"lang":"en","type":"article","venue":"Acta Ophthalmologica","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Self-healing hydrogels; Regeneration (biology); Cornea; In situ; Biomedical engineering; Materials science; Ophthalmology; Chemistry; Medicine; Biology; Cell biology; Polymer chemistry","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":[0.0001545597,0.0003142761,0.0001314992,0.0001727312,0.00009110605,0.000305542,0.0001760904,0.0002014979,0.0009798836],"category_scores_gemma":[0.0001132761,0.0001202493,0.0002708205,0.00009641744,0.0001285834,0.0002149146,0.0001577402,0.0002831635,0.0002406656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890304,"about_ca_system_score_gemma":0.0001240148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001957587,"about_ca_topic_score_gemma":0.0003819147,"domain_scores_codex":[0.9999115,0.000007949944,0.000008085162,0.00001873464,0.00003661476,0.00001701277],"domain_scores_gemma":[0.9999264,0.00001771428,0.00002815187,0.000008740491,0.000008411503,0.00001044774],"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":[0.00001027743,0.000008433999,0.00002789263,0.00003139603,0.000001567469,0.00002728796,0.00001027963,0.00009300854,0.9986948,0.00002174332,0.00001113973,0.00106219],"study_design_scores_gemma":[0.000002529622,0.00005718219,0.0002977717,0.000002950852,0.000004926436,0.00005559398,0.000004127032,0.0006697062,0.998385,0.00001085434,0.0005072129,0.000002344208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630303,0.002450132,0.03088675,0.00007706982,0.00006845872,0.00007739854,0.0002837825,0.0003163151,0.002809842],"genre_scores_gemma":[0.9806207,0.0008990976,0.0160768,0.00004039466,0.000014291,0.00003980668,0.000098943,0.00005103939,0.002158906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009798836,"threshold_uncertainty_score":0.003278017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472672244827233,"score_gpt":0.3257088668915835,"score_spread":0.2809821444433112,"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."}}