{"id":"W2118822995","doi":"10.1117/1.1915488","title":"Ex vivo detection and characterization of early dental caries by optical coherence tomography and Raman spectroscopy","year":2005,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Manitoba; National Research Council Canada","funders":"National Research Council Canada; Manitoba Medical Service Foundation","keywords":"Optical coherence tomography; Demineralization; Raman spectroscopy; Enamel paint; Materials science; Dentistry; Imaging spectroscopy; Ex vivo; Spectroscopy; Dentin; Biomedical engineering; Medicine; In vivo; Optics; Radiology; Biology","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":[0.0004796076,0.0003180444,0.0002358714,0.0003855921,0.000186208,0.0003025658,0.000276508,0.0005289377,0.0008431146],"category_scores_gemma":[0.0008368244,0.0003359522,0.0001679463,0.000202307,0.000339576,0.000577642,0.0003436116,0.0003362459,0.0002143383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594337,"about_ca_system_score_gemma":0.0002328031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005129055,"about_ca_topic_score_gemma":0.001040315,"domain_scores_codex":[0.9997507,0.00007437447,0.00001153124,0.00004240637,0.00009133841,0.00002973514],"domain_scores_gemma":[0.9995657,0.0001851881,0.0001082168,0.00003747513,0.00007362373,0.00002982465],"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":[0.00008019229,0.00004135334,0.001185633,0.00005380155,0.000006218539,0.00002266371,0.00002756085,0.0001259436,0.9904525,0.0001786985,0.00004697118,0.007778369],"study_design_scores_gemma":[0.00002877605,0.0009522496,0.02566866,0.00001728237,0.00004754428,0.001433938,0.0001404587,0.01252991,0.9551142,0.0004630187,0.003569009,0.00003480352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878127,0.005304509,0.104747,0.0002109457,0.000037649,0.00007943869,0.0002201775,0.0001560714,0.001431427],"genre_scores_gemma":[0.8247501,0.002651952,0.1702103,0.0001061695,0.00003757707,0.0001729002,0.0002247267,0.00003394692,0.001812261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008431146,"threshold_uncertainty_score":0.002820492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004653529110233583,"score_gpt":0.2690968401593729,"score_spread":0.2644433110491393,"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."}}