{"id":"W1990688910","doi":"10.1117/12.764074","title":"Propagation properties of 1300-nm light in blood-saline mixtures determined through optical coherence tomography","year":2008,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Optical coherence tomography; Coherence (philosophical gambling strategy); Optics; Monte Carlo method; Scattering; Tomography; Light scattering; SIGNAL (programming language); Optical tomography; Materials science; Biomedical engineering; Physics; Computer science; Statistics; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003644361,0.0004263972,0.0006062632,0.0002147887,0.00007563797,0.00005373123,0.0009951367,0.0002846418,0.00001080412],"category_scores_gemma":[0.000369206,0.0003581047,0.0005924638,0.001003227,0.0005341359,0.000682499,0.0001188527,0.0004500369,0.000001302832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008009734,"about_ca_system_score_gemma":0.00003945389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001697752,"about_ca_topic_score_gemma":8.620817e-7,"domain_scores_codex":[0.9971772,4.372111e-8,0.001120813,0.0004276011,0.0007741999,0.0005000929],"domain_scores_gemma":[0.998062,0.0001192355,0.0002739487,0.0001152294,0.001304136,0.0001254156],"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":[0.00007563821,0.0002772982,0.001852359,0.0008996684,0.0003214508,3.040968e-7,0.0004508574,0.0004777556,0.8673381,0.1278235,0.000361725,0.0001213765],"study_design_scores_gemma":[0.001107184,0.0003268325,0.003250777,0.0005998958,0.0001725475,0.00002999055,0.0003960793,0.02058694,0.9717121,0.001055913,0.0002816138,0.0004801032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950132,0.0003753735,0.0001131211,0.0006315109,0.0001229573,0.001032326,0.00003391233,0.0001918552,0.002485785],"genre_scores_gemma":[0.9311941,0.0002035378,0.06783652,0.0000239858,0.0001631123,0.0004660654,0.000006545899,0.00006959982,0.00003647774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1267675,"threshold_uncertainty_score":0.9998871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474636047037341,"score_gpt":0.2171736139479009,"score_spread":0.2024272534775275,"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."}}