{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001633421,0.0001647254,0.0003019094,0.00005501611,0.00009780686,0.00005347976,0.0001579793,0.00007938469,0.00006397736],"category_scores_gemma":[0.00008209185,0.0001288811,0.000048612,0.0002072548,0.0002130528,0.0001413733,0.00007325262,0.0002003557,0.000006141787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001930099,"about_ca_system_score_gemma":0.00004593022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369829,"about_ca_topic_score_gemma":0.0004947124,"domain_scores_codex":[0.9988311,0.0001180383,0.0003905648,0.0002556042,0.0002087163,0.0001959733],"domain_scores_gemma":[0.9994357,0.00009749522,0.0001912521,0.0001549277,0.00004869335,0.00007189538],"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":[0.0004157524,0.0001295881,0.1069795,0.0001203391,0.00006514029,0.00003256947,0.004041728,0.000008844718,0.8876412,0.00004099267,0.0003472697,0.0001770349],"study_design_scores_gemma":[0.001196777,0.0003863849,0.2132692,0.0001372007,0.00004904797,0.00001271233,0.003595784,0.00005303715,0.7810569,0.0000338469,0.00007211679,0.0001369747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982058,0.0007468178,0.000004536706,0.0002393152,0.00007409151,0.0005536119,0.00004619244,0.00001174305,0.0001178419],"genre_scores_gemma":[0.9995677,0.00004270206,0.00007080653,0.0001580061,0.00001487338,0.00001632472,0.000004890755,0.0000152358,0.0001094133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1065843,"threshold_uncertainty_score":0.5255618,"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."}}