{"id":"W2035934372","doi":"10.1364/oic.2001.me3","title":"Effects of monitoring accuracy on thin film filter performance","year":2001,"lang":"en","type":"article","venue":"Optical Interference Coatings","topic":"Optical Coatings and Gratings","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"JDSU (Canada)","funders":"","keywords":"Ripple; Filter (signal processing); Standard deviation; Transmission (telecommunications); Band-pass filter; Computer science; Measure (data warehouse); Low-pass filter; Electronic engineering; Engineering; Telecommunications; Mathematics; Electrical engineering; Statistics; Voltage; Computer vision; Data mining","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":[0.007133769,0.001301904,0.001013846,0.001063681,0.0007779563,0.001455473,0.001045969,0.001376246,0.0008542191],"category_scores_gemma":[0.03894752,0.001067727,0.0004527878,0.001224201,0.0007161733,0.0009460544,0.000697303,0.001242901,0.0004823018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000664176,"about_ca_system_score_gemma":0.000348627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991591,"about_ca_topic_score_gemma":0.00231295,"domain_scores_codex":[0.9892893,0.001709717,0.001155984,0.002158748,0.00511188,0.0005743594],"domain_scores_gemma":[0.962715,0.02456166,0.002826393,0.003858909,0.005750448,0.0002876049],"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":[0.001614857,0.0001134985,0.01594331,0.0003051041,0.0002569055,0.0003283666,0.0005014117,0.006177253,0.9428656,0.0001775085,0.0002295543,0.03148665],"study_design_scores_gemma":[0.00001378707,0.0005960672,0.0143918,0.00001743291,0.0001329092,0.0003210994,0.00004514272,0.007382948,0.976314,0.0000830933,0.0006708466,0.00003097484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916025,0.003920484,0.07578643,0.0002543429,0.0002232272,0.0001367889,0.0003443981,0.001740729,0.001568686],"genre_scores_gemma":[0.95591,0.001046856,0.04047938,0.000193637,0.00005158193,0.0001134835,0.0003406812,0.0005811047,0.001283373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007133769,"threshold_uncertainty_score":0.03772742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023205039416894,"score_gpt":0.2771125350515769,"score_spread":0.2539074956346829,"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."}}