{"id":"W2039784081","doi":"10.1109/lpt.2014.2330758","title":"Microwave Interferometric Technique for Characterizing Few Mode Fibers","year":2014,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Interference (communication); Interferometry; Microwave; Optical fiber; SIGNAL (programming language); Fiber; Physics; Mode (computer interface); Photodetector; Materials science; Computer science; Telecommunications","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":[0.0004154148,0.000656103,0.0002770429,0.0009950356,0.0002494363,0.0002413262,0.0006484233,0.000406341,0.0006985036],"category_scores_gemma":[0.0006896309,0.000257708,0.0001821294,0.0005151675,0.0004074453,0.0005631882,0.0003587534,0.0005813495,0.0002128281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390734,"about_ca_system_score_gemma":0.0003053664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004697604,"about_ca_topic_score_gemma":0.0006771288,"domain_scores_codex":[0.999705,0.00005146658,0.00001044329,0.00006667057,0.0001479923,0.00001827859],"domain_scores_gemma":[0.9995846,0.0001736564,0.00008035763,0.00007542827,0.0000678623,0.00001805618],"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":[0.00007064603,0.00005538353,0.002295737,0.00009888023,0.0000212611,0.00005032236,0.00005443189,0.003752542,0.9576173,0.004388629,0.0001574961,0.03143739],"study_design_scores_gemma":[0.00003522009,0.000537353,0.006022081,0.00002499022,0.00004496529,0.0006669423,0.00005435832,0.1835813,0.7991506,0.003630329,0.006183675,0.00006820213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2341883,0.001803803,0.7589074,0.0001304407,0.0001215973,0.00009121629,0.0002210646,0.0006061397,0.003930028],"genre_scores_gemma":[0.6168608,0.0009006837,0.3813059,0.00004937734,0.0000454855,0.00009526584,0.00010784,0.00003373027,0.0006009631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009950356,"threshold_uncertainty_score":0.002835035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050693489928677,"score_gpt":0.2418414414848526,"score_spread":0.2313345065855658,"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."}}