{"id":"W3159839665","doi":"10.1002/jemt.23764","title":"Synergistic effect of graphene oxide/calcium phosphate nanofiller in a dentin adhesive on its dentin bond integrity and degree of conversion. A scanning electron microscopy, energy dispersive X‐ray spectroscopy, Fourier transform infrared, <scp>micro‐Raman</scp>, and bond strength study","year":2021,"lang":"en","type":"article","venue":"Microscopy Research and Technique","topic":"Dental materials and restorations","field":"Dentistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Adhesive; Fourier transform infrared spectroscopy; Scanning electron microscope; Raman spectroscopy; Graphene; Dentin; Composite material; Composite number; Bond strength; Energy-dispersive X-ray spectroscopy; Chemical engineering; Nanotechnology; Layer (electronics); Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001272217,0.0004619992,0.0008857175,0.0006653662,0.0003544369,0.0002896738,0.0002962314,0.0003417072,0.00002917218],"category_scores_gemma":[0.0003859325,0.0004135089,0.0001187836,0.0008480468,0.0007038982,0.0002515161,0.0003858061,0.0007962905,0.00000303772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446378,"about_ca_system_score_gemma":0.000213196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675271,"about_ca_topic_score_gemma":0.0007292167,"domain_scores_codex":[0.9964298,0.000538765,0.0007413576,0.0008763789,0.0005795527,0.0008341699],"domain_scores_gemma":[0.9979925,0.0007148969,0.0002434741,0.0004260887,0.0003645724,0.0002584817],"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":[0.0006864021,0.0006557889,0.0343507,0.0006611155,0.0001297401,0.000345825,0.0004029417,2.914585e-7,0.9615871,0.0003162225,0.0007829898,0.00008092236],"study_design_scores_gemma":[0.002561207,0.002363714,0.01378837,0.0007324038,0.00006752553,0.00006396309,0.001300796,0.00001160144,0.9783024,0.0003667533,0.0002431128,0.0001981243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993972,0.003410513,0.0004323577,0.00002232645,0.0001190596,0.001437826,0.0002308723,0.00003333911,0.000341703],"genre_scores_gemma":[0.9961641,0.001076105,0.001641735,0.00001493976,0.00002502324,0.0002503717,0.00006926011,0.00005827414,0.0007002198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02056233,"threshold_uncertainty_score":0.9998317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488497059814284,"score_gpt":0.3372369188893963,"score_spread":0.3123519482912535,"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."}}