{"id":"W4402976249","doi":"10.1002/adfm.202470212","title":"Multipurpose On‐the‐Spot Peptide‐Based Hydrogels for Skin, Cornea, and Heart Repair (Adv. Funct. Mater. 37/2024)","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; University of Ottawa","funders":"","keywords":"Self-healing hydrogels; Materials science; Cornea; Biomedical engineering; Nanotechnology; Medicine; Ophthalmology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003741365,0.0004484562,0.0004463947,0.000111049,0.0002292718,0.0002238604,0.000110678,0.0001387804,0.000877402],"category_scores_gemma":[0.000185742,0.000358101,0.0001459805,0.0001618454,0.0001047925,0.0003233331,0.00003805426,0.000122502,0.0002101316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009000437,"about_ca_system_score_gemma":0.00002765532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008122087,"about_ca_topic_score_gemma":0.000003355625,"domain_scores_codex":[0.9980725,0.00006443431,0.000548742,0.0005699855,0.000239215,0.0005051111],"domain_scores_gemma":[0.9985384,0.0008177952,0.00005432449,0.0003827681,0.000077827,0.0001288364],"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":[0.0003407167,0.00002515746,0.000006762331,0.0005066167,0.00009894843,0.00001502119,0.00003253738,0.1075073,0.8775782,0.004890829,0.008322952,0.0006749091],"study_design_scores_gemma":[0.0008067929,0.0002291137,0.0005469111,0.0003785889,0.0000656913,0.00005475273,0.00004172852,0.006048178,0.8230372,0.003594041,0.1645708,0.0006261666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792824,0.0005562198,0.007273571,0.0002950972,0.008401734,0.0008208303,0.0007164275,0.002024597,0.0006290909],"genre_scores_gemma":[0.9862568,0.00006850384,0.008244769,0.0006770781,0.0008892982,0.0007236006,0.0002230206,0.0001931098,0.002723808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1562479,"threshold_uncertainty_score":0.9998871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971006393221904,"score_gpt":0.2330428872018566,"score_spread":0.2133328232696375,"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."}}