{"id":"W4386568309","doi":"10.1117/1.jbo.28.10.102906","title":"Spatial analysis of polarimetric images to enhance near-surface sampling sensitivity: feasibility in demineralized teeth and other tissue-like media","year":2023,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Université Laval","keywords":"Polarimetry; Optics; Scattering; Materials science; Polarization (electrochemistry); Spatial frequency; Demineralization; Microscopy; Light scattering; Surface roughness; Linear polarization; Mueller calculus; Physics; Chemistry; Laser","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":[0.0004239411,0.0003659591,0.0002074732,0.0003088082,0.0001132992,0.0004308735,0.0003010839,0.0002988389,0.000841329],"category_scores_gemma":[0.0009454552,0.0002355714,0.0002285185,0.0002721704,0.0003070251,0.0003068366,0.0003261763,0.0003271056,0.0001595873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002548312,"about_ca_system_score_gemma":0.0002895267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006717123,"about_ca_topic_score_gemma":0.0009038916,"domain_scores_codex":[0.9998848,0.00002662744,0.000004079729,0.0000243733,0.00004752507,0.0000125559],"domain_scores_gemma":[0.9994393,0.0003123192,0.00006693102,0.00005378638,0.0001069388,0.00002062044],"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":[0.0001555456,0.00003981582,0.001026421,0.0001640124,0.00001373448,0.0001081326,0.00007761028,0.01238756,0.9614214,0.0007535174,0.0001167902,0.02373547],"study_design_scores_gemma":[0.00001465264,0.0001631842,0.002571215,0.00001442403,0.00002110172,0.0002270847,0.0000667803,0.1602243,0.8350096,0.0005780145,0.001083718,0.00002594842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.657615,0.001011526,0.3379276,0.000285288,0.00002700241,0.00009821672,0.0001884962,0.0005936867,0.002253201],"genre_scores_gemma":[0.7487881,0.0008742143,0.2492578,0.00005385859,0.00001262402,0.00004731382,0.0001181456,0.00007302672,0.0007750192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000841329,"threshold_uncertainty_score":0.002814472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298669523421973,"score_gpt":0.3183579698399196,"score_spread":0.2953712746056998,"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."}}