{"id":"W2007912614","doi":"10.1364/ol.30.003263","title":"Fast scanning transmissive delay line for optical coherence tomography","year":2005,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nanoacademic Technologies","funders":"","keywords":"Optics; Optical coherence tomography; Coherence (philosophical gambling strategy); Grating; Diffraction grating; Fourier transform; Dispersion (optics); Diffraction; Line (geometry); Materials science; 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":[0.0001027081,0.0002461961,0.0002142451,0.0001578878,0.0001101524,0.00008314295,0.0002996154,0.0001100724,0.00004562179],"category_scores_gemma":[0.00001729297,0.0002642395,0.0001855564,0.0004454161,0.0001562339,0.0001710912,0.00001554979,0.0002677982,0.00004404248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004264038,"about_ca_system_score_gemma":0.00001216898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001343432,"about_ca_topic_score_gemma":0.0000055657,"domain_scores_codex":[0.9986818,0.00000683603,0.0003166265,0.0002858015,0.0001925371,0.0005163656],"domain_scores_gemma":[0.9991896,0.0001690369,0.00002920216,0.0003159742,0.0000723702,0.0002237919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004591043,0.0001904895,0.0003597373,0.0002079136,0.0003284607,0.00001342402,0.0006813093,0.4798404,0.4139439,0.01807028,0.006416164,0.07990198],"study_design_scores_gemma":[0.002429011,0.0003387009,0.001395274,0.0002072316,0.0004046224,0.00004447061,0.0002125557,0.845892,0.1094032,0.0008661579,0.03661674,0.002190103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2516993,0.0002193327,0.7370859,0.004204768,0.0001470419,0.0007961261,0.00006626357,0.0006252928,0.005155957],"genre_scores_gemma":[0.6863446,0.00001630749,0.3123839,0.0006205904,0.0002434684,0.0002874619,0.00002580043,0.00005490277,0.00002292633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4346453,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155205571945279,"score_gpt":0.2345538915477541,"score_spread":0.2230018358283013,"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."}}