{"id":"W4206631261","doi":"10.1109/cleo.2007.4453376","title":"Free Spectral Range Matched Scanning Interrogator","year":2007,"lang":"en","type":"article","venue":"2007 Conference on Lasers and Electro-Optics (CLEO)","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Institute for Microstructural Sciences","funders":"","keywords":"Materials science; Wavelength; Optics; Resolution (logic); Optoelectronics; Free spectral range; Range (aeronautics); Spectral resolution; Spectral line; 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":[0.0008648295,0.0005970528,0.0006230753,0.0007409271,0.0005389099,0.0008231822,0.002201851,0.001350702,0.00430851],"category_scores_gemma":[0.001145512,0.0006842786,0.0003425964,0.0002817019,0.0007021193,0.001374284,0.001225778,0.0006552478,0.001842002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005620067,"about_ca_system_score_gemma":0.0004865477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003365717,"about_ca_topic_score_gemma":0.000560321,"domain_scores_codex":[0.9982285,0.0002060005,0.0000869783,0.0004356393,0.0009139851,0.0001289194],"domain_scores_gemma":[0.9988525,0.0002750287,0.0001969741,0.000237885,0.00035092,0.00008669031],"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":[0.0002561518,0.00006033419,0.000523466,0.0001044941,0.0000276984,0.0001994431,0.0001155178,0.0005705146,0.9553949,0.005193299,0.001739776,0.03581443],"study_design_scores_gemma":[0.0000365209,0.0003221371,0.0009881582,0.00001581858,0.00002958834,0.001106028,0.00003877895,0.027499,0.9559126,0.0006635521,0.01330174,0.00008609765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3109651,0.002630738,0.6559547,0.001069273,0.0008841387,0.0005612927,0.0005413809,0.005975395,0.02141798],"genre_scores_gemma":[0.5923144,0.0005004758,0.3876204,0.0008353117,0.0002323963,0.0002918468,0.0003304763,0.0001942137,0.01768058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00430851,"threshold_uncertainty_score":0.01441342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419641800203532,"score_gpt":0.2368523257664826,"score_spread":0.2226559077644473,"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."}}