{"id":"W2890580254","doi":"10.1016/j.dental.2018.08.297","title":"Functionalized epigallocatechin gallate copolymer inhibit dentin matrices degradation: Mechanical, solubilized telopeptide and proteomic assays","year":2018,"lang":"en","type":"article","venue":"Dental Materials","topic":"Dental Erosion and Treatment","field":"Dentistry","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Shanghai Jiao Tong University; Shanghai Educational Development Foundation; Saudi Arabian Cultural Bureau","keywords":"Dentin; Copolymer; Chemistry; Nuclear chemistry; Chromatography; Materials science; Organic chemistry; Polymer; Composite material","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":[0.000279518,0.0004861333,0.0002207187,0.0002232153,0.0001835362,0.0001988222,0.0001706626,0.0003479729,0.001377405],"category_scores_gemma":[0.0001569241,0.0002428281,0.0003506292,0.0002293317,0.0002037612,0.0002542975,0.000139915,0.0004907898,0.0003509674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974693,"about_ca_system_score_gemma":0.0001827964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004187685,"about_ca_topic_score_gemma":0.001181221,"domain_scores_codex":[0.9997826,0.00003108017,0.00001834332,0.00004216708,0.00006641669,0.00005941869],"domain_scores_gemma":[0.9998753,0.00003182796,0.00003846269,0.00001020141,0.00002319158,0.00002093866],"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":[0.0001188231,0.00002771468,0.00004935802,0.00001583143,0.000005261146,0.000009079676,0.000006366563,0.0000165408,0.9994416,0.00001244506,0.000008695491,0.0002882983],"study_design_scores_gemma":[0.00001038229,0.0001871208,0.002259095,0.000001692151,0.00001356293,0.00004607609,0.0000119342,0.0002288419,0.9969317,0.00001224473,0.0002942755,0.00000307419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921904,0.002281045,0.00381479,0.0000653279,0.00003606232,0.00003578468,0.0002710528,0.00002809838,0.001277395],"genre_scores_gemma":[0.9826152,0.002097866,0.006884099,0.0001322107,0.00002726132,0.00008880794,0.001010591,0.00002367398,0.007120321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001377405,"threshold_uncertainty_score":0.004607856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733837489712746,"score_gpt":0.26929703155371,"score_spread":0.2519586566565825,"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."}}