{"id":"W2034413859","doi":"10.1117/12.835363","title":"Complex swept source optical coherence tomography with ultra-small fiber probe for biomedical imaging","year":2009,"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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Interferometry; Optical coherence tomography; Optics; Computer science; Astronomical interferometer; Mach–Zehnder interferometer; Optical tomography; Coherence (philosophical gambling strategy); Optical fiber; Physics","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":[0.0004703568,0.0005326419,0.0005862717,0.0002114006,0.0001368057,0.0001934382,0.001236894,0.0002354886,0.00003160792],"category_scores_gemma":[0.0002291832,0.0004421054,0.0007513845,0.0008569668,0.000579662,0.000445227,0.00006219625,0.000490678,0.000003611471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226608,"about_ca_system_score_gemma":0.00003576904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003536786,"about_ca_topic_score_gemma":2.132859e-7,"domain_scores_codex":[0.9970258,2.450908e-8,0.0008578636,0.0005741534,0.0007643267,0.0007778103],"domain_scores_gemma":[0.9976029,0.0002799807,0.0002282281,0.000123098,0.001447187,0.0003186427],"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":[0.000142628,0.0003369829,0.0004795784,0.0007138135,0.0005375091,1.886964e-7,0.0001913706,0.0005811888,0.6894644,0.2981507,0.005495357,0.00390628],"study_design_scores_gemma":[0.01108124,0.004735408,0.01547533,0.002719288,0.002042612,0.0002498013,0.004128056,0.3745555,0.4796547,0.02049858,0.07970654,0.005152993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982591,0.0001274542,0.006238931,0.002794598,0.0001015015,0.00172261,0.000107545,0.000494746,0.005821629],"genre_scores_gemma":[0.5648609,0.00002630223,0.4336317,0.0001811809,0.0003710459,0.000683383,0.00003836154,0.0001138703,0.00009322134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4273928,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157779224229856,"score_gpt":0.2223137410323794,"score_spread":0.2107359487900809,"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."}}