{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001537359,0.0002485726,0.0004547627,0.00007930211,0.0001958486,0.0001894786,0.0001188591,0.0001075872,0.0002677201],"category_scores_gemma":[0.00007811339,0.0002094633,0.00004933251,0.000231516,0.000232975,0.0001705873,0.0001521253,0.0001581751,0.00001781654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002570364,"about_ca_system_score_gemma":0.00009268763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005803742,"about_ca_topic_score_gemma":0.002515758,"domain_scores_codex":[0.998316,0.0001825375,0.0004391639,0.0005167355,0.0002463871,0.0002991433],"domain_scores_gemma":[0.9989675,0.00009399356,0.0002077573,0.0003947586,0.000154446,0.0001815412],"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":[0.0003294989,0.000612318,0.01084578,0.00005252803,0.0001271504,0.0001553438,0.001197076,3.983332e-7,0.9858394,0.00004661784,0.0004126406,0.0003812296],"study_design_scores_gemma":[0.002311392,0.0003612103,0.06004756,0.00006645613,0.0001332584,0.0001259809,0.01163096,0.000004901607,0.9249476,0.00001992277,0.0001042576,0.0002465456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99779,0.0009998422,0.000002149349,0.00008938835,0.0002423589,0.0003947862,0.0001821917,0.00004007389,0.0002592342],"genre_scores_gemma":[0.9980271,0.00003531613,0.0006530094,0.00005899358,0.00004602488,0.00002675783,0.00006049813,0.00003301302,0.001059246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06089186,"threshold_uncertainty_score":0.8541664,"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."}}