{"id":"W2944348514","doi":"10.1016/j.joen.2019.03.021","title":"Impact of Dentin Substrate Modification with Chitosan-Hydroxyapatite Precursor Nanocomplexes on Sealer Penetration and Tensile Strength","year":2019,"lang":"en","type":"article","venue":"Journal of Endodontics","topic":"Dental materials and restorations","field":"Dentistry","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; Sinai Health System; University of Toronto","funders":"University of Toronto; Ontario Centres of Excellence","keywords":"Ultimate tensile strength; Materials science; Chitosan; Dentin; Penetration (warfare); Composite material; Substrate (aquarium); Dentistry; Chemical engineering; Medicine; Engineering","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":[0.000326097,0.0003199519,0.0003172183,0.0001337758,0.0001662122,0.0005466788,0.0001831904,0.0004257253,0.001543851],"category_scores_gemma":[0.0008818444,0.0002872359,0.0002238057,0.0001731821,0.000275749,0.000476206,0.0002388615,0.0004096617,0.0002292631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746541,"about_ca_system_score_gemma":0.0003796346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280726,"about_ca_topic_score_gemma":0.002113866,"domain_scores_codex":[0.9996033,0.00004927796,0.00005004176,0.0001036344,0.0001011868,0.00009252041],"domain_scores_gemma":[0.9993211,0.0003031883,0.0001523392,0.00003704589,0.0001210097,0.00006523189],"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":[0.000380436,0.00003459554,0.0002018619,0.00006620383,0.00001004493,0.00005187713,0.00003621974,0.00007499616,0.9974418,0.0000199328,0.00001837653,0.001663706],"study_design_scores_gemma":[0.00002040622,0.0005101287,0.002422157,0.000005903121,0.00003341196,0.0000365221,0.00005950155,0.0004599299,0.9959383,0.000008882888,0.0004951812,0.00000978763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983088,0.0006212514,0.0003810469,0.00001616993,0.00002344831,0.0000186351,0.00004975311,0.00001154595,0.0005693444],"genre_scores_gemma":[0.9979306,0.0003470119,0.0008764222,0.00003594479,0.000004926679,0.00001865659,0.00004605944,0.00000974666,0.0007306615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001543851,"threshold_uncertainty_score":0.005164683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764168632381364,"score_gpt":0.2879583067951565,"score_spread":0.2703166204713429,"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."}}