{"id":"W2793637720","doi":"10.1117/12.2283016","title":"Swept source optical coherence tomography of objects with arbitrary reflectivity profiles","year":2018,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"","keywords":"Optical coherence tomography; Optics; Fourier transform; Fourier domain; Tomography; Optical tomography; Coherence (philosophical gambling strategy); Computer vision; Computer science; Physics; Materials science; Artificial intelligence","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":[0.00008928523,0.0001808569,0.0002082103,0.0001431005,0.00005989439,0.00002383809,0.0002222138,0.0000944836,0.0002506379],"category_scores_gemma":[0.00001546235,0.0001468658,0.00006861382,0.00105604,0.0005362567,0.0001451676,0.00003068459,0.0002014101,0.00005655393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001297484,"about_ca_system_score_gemma":0.00003004203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002000813,"about_ca_topic_score_gemma":0.00007972757,"domain_scores_codex":[0.998997,0.00001627618,0.0002035477,0.000249524,0.000225823,0.0003077741],"domain_scores_gemma":[0.9991801,0.0001090482,0.00002946342,0.0004153138,0.0001304069,0.0001356102],"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":[0.0004307128,0.00168827,0.1395153,0.00104933,0.001131048,0.0000173769,0.002495544,0.00158298,0.6456437,0.1468769,0.005391553,0.0541773],"study_design_scores_gemma":[0.0006478035,0.001298288,0.08335645,0.000142099,0.00009946536,0.00002436174,0.0003468724,0.006644293,0.9008086,0.004584981,0.001180577,0.0008662497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7035912,0.00006282576,0.04980408,0.00003530615,0.00003709221,0.0004352306,0.000007905435,0.00071385,0.2453125],"genre_scores_gemma":[0.9557856,0.000002823278,0.04391535,0.0000333178,0.00005594581,0.0001047925,0.000002840806,0.00002858951,0.00007071513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2551648,"threshold_uncertainty_score":0.5989012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009773322572434713,"score_gpt":0.2276032053828244,"score_spread":0.2178298828103897,"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."}}