{"id":"W2043597371","doi":"10.1109/omems.2006.1708319","title":"Focus Tracking in Time Domain Optical Coherence Tomography using Membrane Mirrors Operated Near Snap-Down","year":2006,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optical coherence tomography; Focus (optics); Tracking (education); Distortion (music); Optics; Time domain; Coherence (philosophical gambling strategy); Microelectromechanical systems; Physics; Computer science; Computer vision; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003199867,0.0002515233,0.0002243483,0.000120939,0.0003586805,0.0004041483,0.0004168059,0.0005607399,0.0003812419],"category_scores_gemma":[0.0006950039,0.0002122902,0.0001348608,0.0001145633,0.0003987511,0.0005583939,0.0003706664,0.0003101034,0.000180558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005247433,"about_ca_system_score_gemma":0.0002912476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009516395,"about_ca_topic_score_gemma":0.001320683,"domain_scores_codex":[0.9998136,0.00003072354,0.00001071111,0.00002827132,0.00009301917,0.00002367434],"domain_scores_gemma":[0.9996895,0.0001325381,0.00006299504,0.00004440826,0.0000482903,0.00002232341],"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":[0.00005041855,0.00000820377,0.0002496027,0.00001993241,0.00000243105,0.00006082184,0.00005496525,0.0003855721,0.9960443,0.0003935527,0.0000371175,0.002693106],"study_design_scores_gemma":[0.00000971927,0.0001191992,0.0006125892,0.000004429998,0.000004761799,0.0001144433,0.00002374003,0.007236755,0.9911936,0.00008575855,0.0005850016,0.00001011858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720094,0.0004105404,0.02627436,0.0001896094,0.00003202376,0.0000486863,0.00004084963,0.0001302147,0.0008644058],"genre_scores_gemma":[0.9666718,0.0003043881,0.03162365,0.00005293479,0.00001050243,0.0000618884,0.00003337212,0.0000199784,0.00122145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009516395,"threshold_uncertainty_score":0.003807306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142250179644145,"score_gpt":0.2434206124571888,"score_spread":0.2291955944927743,"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."}}