{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003016807,0.0002430754,0.0001315912,0.000242742,0.0001659726,0.0001772303,0.000147424,0.0003477328,0.0008936142],"category_scores_gemma":[0.0001843646,0.0001453376,0.000193706,0.0001026581,0.0001487142,0.0003606827,0.0002444952,0.0003187666,0.0002046011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367008,"about_ca_system_score_gemma":0.0001981937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336882,"about_ca_topic_score_gemma":0.0006025675,"domain_scores_codex":[0.9998926,0.00001053764,0.000009931709,0.00002248804,0.00004511082,0.00001947953],"domain_scores_gemma":[0.9998953,0.00002649256,0.00003194504,0.00001061424,0.00002020584,0.00001530301],"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":[0.00002266755,0.000009177237,0.00003131319,0.00005214255,0.000001908767,0.00003252391,0.00001002274,0.00004124411,0.9977559,0.00006818901,0.00002677401,0.001947989],"study_design_scores_gemma":[0.000009320651,0.0001126684,0.001475826,0.000009248698,0.00001402182,0.0002008176,0.00002845734,0.0006797201,0.9944361,0.0001007741,0.00292691,0.000005965381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676898,0.007270392,0.02006947,0.0001408469,0.0001933797,0.00007988805,0.0001782062,0.0001588379,0.004219168],"genre_scores_gemma":[0.9827534,0.001753304,0.01167546,0.00005483734,0.00003324429,0.00005888132,0.00009011733,0.00002100658,0.003559651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008936142,"threshold_uncertainty_score":0.002989471,"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."}}