{"id":"W4281481783","doi":"10.1038/s41598-022-13081-9","title":"Effect of an enamel matrix derivative (Emdogain) on the microhardness and chemical composition of human root dentin: an in vitro study","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Dental Erosion and Treatment","field":"Dentistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Dentin; Enamel matrix derivative; Dentistry; Knoop hardness test; Fourier transform infrared spectroscopy; Enamel paint; Root canal; Scanning electron microscope; Materials science; Indentation hardness; Nuclear chemistry; Chemistry; Composite material; Microstructure; Medicine; 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":[0.001870275,0.000133853,0.0002683352,0.0001465434,0.0003300632,0.00008840603,0.0001623505,0.00002660854,0.00012675],"category_scores_gemma":[0.00002717921,0.00009876164,0.00006680564,0.0003357979,0.0002071025,0.0001026729,0.0002091901,0.0001344318,0.000002531944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008595348,"about_ca_system_score_gemma":0.00001941468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001139062,"about_ca_topic_score_gemma":0.00003427831,"domain_scores_codex":[0.9976839,0.0005359937,0.0004654734,0.0005286981,0.0006347959,0.0001510919],"domain_scores_gemma":[0.9988514,0.00007575825,0.0003553551,0.0006115358,0.00004541161,0.00006055594],"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":[0.0002418222,0.001922838,0.02895129,0.00002522535,0.00002190269,0.0007087404,0.001066069,0.00001134215,0.9663476,0.00001650964,0.00008252064,0.0006041832],"study_design_scores_gemma":[0.0008305488,0.0006769221,0.03060273,0.00001731284,0.00003872274,0.0002210612,0.001142599,0.00004690152,0.96618,0.0001416603,0.00001378449,0.00008776267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980778,0.00002273788,9.22811e-7,0.000006956244,0.0009455801,0.0008187251,0.00002055003,0.00001638288,0.00009037013],"genre_scores_gemma":[0.9995113,5.618885e-8,0.00001044806,0.000004490264,0.00000798001,0.00008543696,0.0001734862,0.00001172973,0.0001950892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001843096,"threshold_uncertainty_score":0.4027383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341366014062937,"score_gpt":0.3134890574686234,"score_spread":0.300075397327994,"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."}}