{"id":"W3113193423","doi":"10.3390/polym12122948","title":"Influence of Hydroxyapatite Nanospheres in Dentin Adhesive on the Dentin Bond Integrity and Degree of Conversion: A Scanning Electron Microscopy (SEM), Raman, Fourier Transform-Infrared (FTIR), and Microtensile Study","year":2020,"lang":"en","type":"article","venue":"Polymers","topic":"Dental materials and restorations","field":"Dentistry","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Deanship of Scientific Research, King Saud University; King Saud University","keywords":"Dentin; Adhesive; Fourier transform infrared spectroscopy; Scanning electron microscope; Materials science; Raman spectroscopy; Nuclear chemistry; Bond strength; Composite material; Chemistry; Chemical engineering; Layer (electronics)","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":[0.0002282713,0.0002458188,0.0001844464,0.0001408957,0.0001065747,0.0001960504,0.0001236747,0.0002614796,0.000542499],"category_scores_gemma":[0.000237845,0.0002067398,0.0001825033,0.0001058485,0.0001613681,0.0001775898,0.00009783409,0.0002230056,0.000092734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175334,"about_ca_system_score_gemma":0.0001266201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005687659,"about_ca_topic_score_gemma":0.001364277,"domain_scores_codex":[0.9998578,0.00001730801,0.00001407963,0.00003212273,0.00005594045,0.00002279232],"domain_scores_gemma":[0.9997661,0.00008064877,0.00005065919,0.00001357526,0.00005685455,0.00003228587],"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":[0.00003432425,0.00001165472,0.000105435,0.0000397125,0.000003074095,0.00002803939,0.00001453075,0.0000284116,0.9990916,0.000009473177,0.000005086857,0.0006286218],"study_design_scores_gemma":[0.000004397464,0.0002719126,0.005194978,0.000004236375,0.00001910075,0.00007087604,0.0000391374,0.0003019363,0.9936495,0.00001154204,0.0004274293,0.000004910893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974577,0.001264138,0.0007071936,0.00001177692,0.00001072944,0.00001499763,0.00005891125,0.00001090175,0.000463683],"genre_scores_gemma":[0.9970071,0.0005949708,0.001611601,0.00002120553,0.000004975511,0.00002639101,0.0000515803,0.000004599929,0.0006775975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005687659,"threshold_uncertainty_score":0.001814842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857874303761465,"score_gpt":0.2681080292563425,"score_spread":0.2495292862187278,"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."}}