{"id":"W2126468389","doi":"10.1007/s00216-006-0856-9","title":"Precision of Raman depolarization and optical attenuation measurements of sound tooth enamel","year":2006,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Manitoba; National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research; University of Manitoba","keywords":"Optical coherence tomography; Enamel paint; Raman spectroscopy; Demineralization; Repeatability; Reproducibility; Attenuation; Materials science; Dentin; Optics; Anisotropy; Birefringence; Polarization (electrochemistry); Depolarization ratio; Biomedical engineering; Chemistry; Physics; Medicine; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004677298,0.0005420129,0.0004848151,0.0007427312,0.0007725621,0.001344371,0.001289561,0.001597224,0.0008788732],"category_scores_gemma":[0.01282418,0.0006498168,0.000386958,0.0003262102,0.001263991,0.0007329583,0.001375928,0.000947457,0.0005053691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00072376,"about_ca_system_score_gemma":0.0008004303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575722,"about_ca_topic_score_gemma":0.003622169,"domain_scores_codex":[0.9944656,0.001172599,0.0002386029,0.001462652,0.00240347,0.0002569761],"domain_scores_gemma":[0.9870682,0.008117891,0.0005513512,0.00161965,0.002445048,0.0001978121],"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":[0.001373459,0.00009351219,0.01399828,0.0001779327,0.0001095012,0.0000604425,0.0006970178,0.001306241,0.9427162,0.0009863881,0.0001494748,0.0383314],"study_design_scores_gemma":[0.00007351408,0.0006540552,0.04202044,0.00005595158,0.0002106586,0.0005339403,0.0003821016,0.009626543,0.9440629,0.000729271,0.001583282,0.0000673175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305912,0.001856986,0.06447894,0.0001453271,0.0001878032,0.00004307121,0.0001814684,0.0003848165,0.002130305],"genre_scores_gemma":[0.9802491,0.0003074887,0.01820158,0.00007944326,0.00002971189,0.00002087656,0.0001546512,0.00005307371,0.0009041489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004677298,"threshold_uncertainty_score":0.02473623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675135201481354,"score_gpt":0.3029868731518608,"score_spread":0.2862355211370473,"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."}}