{"id":"W4403457769","doi":"10.3390/gels10100662","title":"Advancements in Hydrogels for Corneal Healing and Tissue Engineering","year":2024,"lang":"en","type":"review","venue":"Gels","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke","funders":"","keywords":"Self-healing hydrogels; Tissue engineering; Economic shortage; Nanotechnology; Biocompatibility; Drug delivery; Cornea; Computer science; Materials science; Biomedical engineering; Medicine; 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":[0.0001267428,0.0002693486,0.001085314,0.0001872749,0.00001868374,0.0000166262,0.00003349093,0.0001341545,0.00001482322],"category_scores_gemma":[0.00003480557,0.0002135976,0.0001449838,0.000180639,0.000008717547,0.00003405666,0.00004053838,0.000181901,0.00004015128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313778,"about_ca_system_score_gemma":0.00007751318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001063846,"about_ca_topic_score_gemma":0.000002847619,"domain_scores_codex":[0.9989287,0.00001103899,0.0003676474,0.0003410912,0.00008678681,0.0002647885],"domain_scores_gemma":[0.9995546,0.0001270974,0.00005577223,0.000149819,0.00001034168,0.0001023136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008755632,0.00003294947,0.00002256471,0.0254338,0.0001477524,0.0003142934,0.00001953368,0.000001370125,0.000001342482,0.00003784957,0.00005671636,0.9739231],"study_design_scores_gemma":[0.0003509674,0.00009072672,0.000004965109,0.02137544,0.0008691884,0.0001749,0.000001587812,0.00003948999,0.000008623667,0.00003685407,0.9768974,0.0001498318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002451105,0.9978138,0.00008598298,0.00001690013,0.000351964,0.001270048,0.00008032016,0.00004557993,0.00009025193],"genre_scores_gemma":[0.0003095942,0.9976002,0.0004833989,0.00002132975,0.0001592556,0.0003466682,0.0001975769,0.00005626749,0.0008256843],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9768407,"threshold_uncertainty_score":0.8710258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06087951549572282,"score_gpt":0.3828293623922668,"score_spread":0.321949846896544,"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."}}