{"id":"W2912879596","doi":"10.1177/0022034518822826","title":"Impact of Carbamide Peroxide Whitening Agent on Dentinal Collagen","year":2019,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Dental Erosion and Treatment","field":"Dentistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dentinal Tubule; Chemistry; Raman spectroscopy; Tooth whitening; Hydrogen peroxide; Carbamide peroxide; Dentin; Raman microspectroscopy; Dentistry; Remineralisation; Nuclear chemistry; Materials science; Enamel paint; Biochemistry; Medicine; Organic chemistry","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":[0.0003165956,0.0003612956,0.0001709458,0.0001123632,0.0001338857,0.0002454062,0.0001013199,0.0002421384,0.0009871334],"category_scores_gemma":[0.0002553899,0.0001611464,0.0002429429,0.00006916219,0.0002053195,0.0001705267,0.0001602691,0.0003143502,0.0001023129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472898,"about_ca_system_score_gemma":0.0002081012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028267,"about_ca_topic_score_gemma":0.002205938,"domain_scores_codex":[0.9997663,0.00005812207,0.00001887509,0.00004888016,0.00006134841,0.00004648076],"domain_scores_gemma":[0.999725,0.00009049747,0.00006610021,0.00002384963,0.00005261381,0.00004185349],"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":[0.0001132881,0.00001924946,0.0001882904,0.00004800771,0.00000625431,0.00003138469,0.000019282,0.00002029731,0.998803,0.000008055646,0.000006023833,0.0007368047],"study_design_scores_gemma":[0.000009340421,0.001019214,0.006622767,0.00001164094,0.00002628126,0.0001004837,0.0000715182,0.0001949071,0.9912518,0.00001211282,0.0006758533,0.000004115792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967746,0.001831702,0.0005828587,0.00002245459,0.00002032571,0.00002356271,0.00003905499,0.000007612459,0.0006978162],"genre_scores_gemma":[0.996662,0.001040233,0.001126722,0.000050295,0.00000889165,0.00001977085,0.00006989863,0.000008188224,0.001013966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028267,"threshold_uncertainty_score":0.003302336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07350293739848518,"score_gpt":0.4420498774653529,"score_spread":0.3685469400668677,"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."}}