{"id":"W1977355833","doi":"10.1117/12.695302","title":"Optical coherence tomography for industrial and biomedical applications","year":2006,"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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; National Research Council Canada","funders":"","keywords":"Optical coherence tomography; Speckle pattern; Interferometry; Optics; Coherence (philosophical gambling strategy); Speckle imaging; Materials science; Speckle noise; Autocorrelation; Laser; Computer science; Physics; Mathematics","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":[0.0004318474,0.0003571055,0.0004319847,0.0001815179,0.000117791,0.0001378828,0.0007918819,0.0003478587,0.000009380379],"category_scores_gemma":[0.0001816279,0.000323051,0.0005415048,0.0007216758,0.0005969432,0.0003413707,0.0001036901,0.0003811561,0.000001361826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008292684,"about_ca_system_score_gemma":0.00002795994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007323007,"about_ca_topic_score_gemma":3.242464e-7,"domain_scores_codex":[0.9977183,1.312342e-8,0.0007959445,0.0004345191,0.0005524505,0.0004987665],"domain_scores_gemma":[0.9982763,0.0003342514,0.0001762489,0.00008567127,0.0009291437,0.0001983872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003826046,0.0001568956,0.0005146331,0.0004025968,0.0002625891,2.790899e-8,0.00003058803,0.0001148961,0.2975588,0.6942972,0.005320756,0.00130277],"study_design_scores_gemma":[0.01239188,0.002470127,0.01159082,0.001367114,0.002182214,0.0001018857,0.002955863,0.2149067,0.4793926,0.089834,0.1784199,0.004386902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917362,0.0001881397,0.001691603,0.001156828,0.0001487161,0.001618314,0.0002005229,0.0002591008,0.003000581],"genre_scores_gemma":[0.7385821,0.00007452836,0.257029,0.00004779728,0.001084993,0.002931511,0.00005796838,0.000114927,0.00007717292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6044632,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253062936747217,"score_gpt":0.2252661156244731,"score_spread":0.2127354862570009,"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."}}