{"id":"W4388809111","doi":"10.1016/j.actbio.2023.11.021","title":"Electrospun methacrylated natural/synthetic composite membranes for gingival tissue engineering","year":2023,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Periodontal Regeneration and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite number; Membrane; Biomedical engineering; Biocompatible material; Tissue engineering; Composite material; Medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000800045,0.0001728157,0.0002616649,0.0001385012,0.00008118064,0.00006185651,0.00006424814,0.00007739243,0.00009502236],"category_scores_gemma":[0.00003959678,0.0001420498,0.00007101621,0.0002371046,0.00001774102,0.00007011755,0.00002433406,0.00002916771,0.0001718275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005665878,"about_ca_system_score_gemma":0.00002179016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003238015,"about_ca_topic_score_gemma":0.0000023043,"domain_scores_codex":[0.9991411,0.00001432622,0.0001860497,0.0002270117,0.0001323667,0.0002991716],"domain_scores_gemma":[0.9996241,0.00002386697,0.00003969228,0.0001773938,0.00004329539,0.0000916821],"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":[0.0001377938,0.00003097036,0.00007754243,0.0001383224,0.0001360582,0.00004308372,0.00006366318,0.000001314097,0.9977742,0.00003287005,0.001066004,0.0004982026],"study_design_scores_gemma":[0.001265525,0.0001434604,0.003315115,0.00004753326,0.00009757168,0.00007720027,0.00000519524,0.002025322,0.9515278,0.00001011121,0.04134416,0.0001410459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963258,0.0001582283,0.00008228499,0.0008980173,0.001502589,0.0004369301,0.00005901706,0.0004954242,0.00004173726],"genre_scores_gemma":[0.9944422,0.00002515823,0.001414092,0.00007380117,0.0001623441,0.00006945311,0.0008669027,0.00004243499,0.002903559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04624641,"threshold_uncertainty_score":0.5792624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150094658643749,"score_gpt":0.2881435239576157,"score_spread":0.2731340580932408,"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."}}