{"id":"W1980072196","doi":"10.1117/12.842402","title":"Signal processing with unequally spaced data in Fourier-domain optical coherence tomography","year":2010,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; National Research Council Canada","funders":"National Research Council Canada","keywords":"Optical coherence tomography; Oversampling; Fourier transform; Optics; Computer science; Algorithm; Optical tomography; Fast Fourier transform; Coherence (philosophical gambling strategy); Physics; Mathematics; Telecommunications; Mathematical analysis","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":[0.001939415,0.0006808105,0.0004881684,0.0007152287,0.0003359546,0.001078783,0.001005396,0.0008284521,0.001194993],"category_scores_gemma":[0.006613807,0.0003146554,0.0004420482,0.001112487,0.0008763566,0.001559286,0.0007800798,0.0009587689,0.0003925171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466537,"about_ca_system_score_gemma":0.0005774252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000619831,"about_ca_topic_score_gemma":0.001034745,"domain_scores_codex":[0.9993519,0.0002109911,0.00005514488,0.00006651939,0.000270739,0.00004466241],"domain_scores_gemma":[0.9974743,0.001835811,0.0001158148,0.0002971519,0.0002413902,0.00003552976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001329388,0.0002724644,0.001557963,0.0004978299,0.0001243378,0.0003309748,0.0003100755,0.2645893,0.2236847,0.04587261,0.001532971,0.4598974],"study_design_scores_gemma":[0.00008132958,0.0002243859,0.0009001083,0.00004395917,0.00003342968,0.0004297554,0.00006889351,0.8540202,0.1252414,0.01582851,0.003057567,0.00007044432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02157033,0.0002161048,0.9776213,0.00008485185,0.00002154708,0.00002801599,0.00002384294,0.0001537522,0.0002802902],"genre_scores_gemma":[0.06899482,0.0002656995,0.9300693,0.00003806915,0.00001720038,0.00009080728,0.00008450901,0.00006185772,0.000377828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001939415,"threshold_uncertainty_score":0.01025671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131574035062495,"score_gpt":0.2347934625853782,"score_spread":0.2216360590791287,"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."}}