{"id":"W3147715360","doi":"10.3390/polym13071093","title":"Dentin Bond Integrity of Filled and Unfilled Resin Adhesive Enhanced with Silica Nanoparticles—An SEM, EDX, Micro-Raman, FTIR and Micro-Tensile Bond Strength Study","year":2021,"lang":"en","type":"article","venue":"Polymers","topic":"Dental materials and restorations","field":"Dentistry","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Deanship of Scientific Research, King Saud University; King Saud University","keywords":"Materials science; Adhesive; Dentin; Bond strength; Fourier transform infrared spectroscopy; Scanning electron microscope; Ultimate tensile strength; Raman spectroscopy; Composite material; Energy-dispersive X-ray spectroscopy; Chemical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002993068,0.0003957972,0.0002793334,0.0003131946,0.0001798064,0.0001974861,0.0001757282,0.0003770262,0.0009698924],"category_scores_gemma":[0.0002454804,0.0002934072,0.0003368653,0.0001824901,0.0001993644,0.0003399343,0.0001865044,0.0003515034,0.0001782305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383996,"about_ca_system_score_gemma":0.0001522053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004567783,"about_ca_topic_score_gemma":0.0009700629,"domain_scores_codex":[0.9997818,0.00001679064,0.00002377499,0.00005219857,0.00009887087,0.00002661401],"domain_scores_gemma":[0.9997533,0.00003738752,0.00006132292,0.00001572418,0.0001081839,0.00002400801],"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":[0.00004144923,0.0000190971,0.0003041201,0.00006678064,0.000008754836,0.00003800977,0.00003061747,0.0000443876,0.9980757,0.00002841272,0.00002050878,0.00132211],"study_design_scores_gemma":[0.000005494175,0.0004464284,0.01282684,0.00001028504,0.00005652624,0.0001897949,0.0001074489,0.0007900917,0.9842684,0.00003703523,0.001244778,0.00001673044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954748,0.001852821,0.001623951,0.00002169437,0.00002917277,0.00001435055,0.0001219688,0.00002282384,0.0008385151],"genre_scores_gemma":[0.991906,0.001135033,0.004266213,0.0000543895,0.0000150429,0.00004314981,0.0001819418,0.0000153472,0.002382827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009698924,"threshold_uncertainty_score":0.003244579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228827100332902,"score_gpt":0.2635503995019466,"score_spread":0.2512621284986176,"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."}}