{"id":"W2898428721","doi":"10.1016/j.jmbbm.2018.10.029","title":"Dentin pretreatment with 45S5 and niobophosphate bioactive glass: Effects on pH, antibacterial, mechanical properties of the interface and microtensile bond strength","year":2018,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Dental materials and restorations","field":"Dentistry","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bioactive glass; Bond strength; Materials science; Dentin; Composite material; Streptococcus mutans; Elastic modulus; Young's modulus; Molar; Distilled water; Ultimate tensile strength; Antibacterial activity; Phosphoric acid; Dentistry; Adhesive; Chemistry; Chromatography; Medicine; Layer (electronics); Bacteria","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":[0.0003422301,0.0006486505,0.00051257,0.0001629959,0.0003527556,0.0003109545,0.0002643656,0.0006840142,0.004347072],"category_scores_gemma":[0.0004408958,0.0005084353,0.000428023,0.0002200591,0.0003305716,0.000437156,0.0002404754,0.0004620122,0.0004659542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615527,"about_ca_system_score_gemma":0.0009264228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137391,"about_ca_topic_score_gemma":0.004870739,"domain_scores_codex":[0.9997186,0.00002999272,0.00002954621,0.00007483205,0.00004293867,0.0001040594],"domain_scores_gemma":[0.9997986,0.00005657363,0.00003785979,0.00001957194,0.0000371453,0.00005019063],"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":[0.002113307,0.0001012472,0.0005076501,0.00009516742,0.00001136121,0.00007544527,0.00007196917,0.0000251179,0.9947833,0.00003853643,0.00004180191,0.002135038],"study_design_scores_gemma":[0.00007971091,0.001439258,0.01399165,0.00001124003,0.00007247497,0.0001017292,0.0002389728,0.0001964016,0.9828015,0.00002720695,0.001025201,0.00001462064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965566,0.001719673,0.0003985444,0.00007332885,0.00006320004,0.00003368837,0.0001169663,0.00002040347,0.001017627],"genre_scores_gemma":[0.9956234,0.0007967926,0.001059587,0.0000664289,0.00001893476,0.00002824437,0.0001869127,0.000009814124,0.002209835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004347072,"threshold_uncertainty_score":0.01454246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259338972626585,"score_gpt":0.2635800668788398,"score_spread":0.2509866771525739,"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."}}