{"id":"W1969867013","doi":"10.1364/ol.32.003312","title":"Linear and quadratic dispersion characterization of millimeter-length fibers and waveguides using common-path interferometry","year":2007,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optics; Millimeter; Interferometry; Dispersion (optics); Path length; Optical path length; Materials science; Optical fiber; Path (computing); Physics; Computer science","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":[0.0004054874,0.0004575342,0.0002099988,0.0005344605,0.0002857053,0.0002774754,0.0005060594,0.0003707294,0.0004285533],"category_scores_gemma":[0.001120512,0.0002124846,0.0001474493,0.0005152352,0.0005094563,0.0006686603,0.0004418614,0.0003445881,0.0001197899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006948095,"about_ca_system_score_gemma":0.0003939756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030124,"about_ca_topic_score_gemma":0.004156329,"domain_scores_codex":[0.99939,0.00004884131,0.00001791462,0.0001229922,0.0003600019,0.00006019191],"domain_scores_gemma":[0.9991295,0.0002657817,0.0001744612,0.00008707158,0.0003066107,0.0000366182],"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":[0.0001024005,0.00004055203,0.005139798,0.00005074155,0.00001313234,0.0000506958,0.0002048095,0.002056737,0.9821501,0.001503213,0.00009633876,0.008591451],"study_design_scores_gemma":[0.00002522511,0.0004625816,0.01373839,0.00001282265,0.00002209663,0.0002214957,0.0001113407,0.04894231,0.9342068,0.0006115524,0.001607955,0.00003739317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847758,0.0001422484,0.01355355,0.00005004956,0.000009526289,0.00001799277,0.00009467352,0.00006472288,0.001291339],"genre_scores_gemma":[0.9837416,0.000103838,0.01556336,0.00001614191,0.000007113176,0.00002040516,0.000089393,0.00001577432,0.0004422184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002030124,"threshold_uncertainty_score":0.005041242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163120890239707,"score_gpt":0.2310805244824226,"score_spread":0.2194493155800255,"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."}}