{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003583641,0.0002717602,0.0003715589,0.00006968348,0.0001467376,0.0001489221,0.0005168865,0.0001237567,0.000459423],"category_scores_gemma":[0.002378436,0.0002144329,0.00009203242,0.0002156139,0.0002184864,0.000388025,0.0002289527,0.0003619968,0.000500987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004283119,"about_ca_system_score_gemma":0.00003027837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002875203,"about_ca_topic_score_gemma":0.000001025496,"domain_scores_codex":[0.9980006,0.00005402741,0.0005474577,0.0004552755,0.0004222147,0.0005204318],"domain_scores_gemma":[0.9976075,0.001480557,0.0002271006,0.0003118943,0.0001989268,0.0001739643],"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":[0.0001409438,0.0001674887,0.002725272,0.0001823441,0.000004412044,0.0000139403,0.0006032383,0.0001299065,0.9875787,0.002430875,0.0001580125,0.005864827],"study_design_scores_gemma":[0.0003340508,0.0009880732,0.005043209,0.0008948238,0.00001780917,0.000009128646,0.00009785866,0.003331795,0.988616,0.000272643,0.0001322885,0.0002622694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855733,0.0000233703,0.001322991,0.0001878123,0.0004170039,0.0002111813,0.000002813324,0.00009942782,0.01216212],"genre_scores_gemma":[0.9916423,0.00002540885,0.00721366,0.0001781559,0.0001569215,0.00004038647,0.000001558156,0.00002381902,0.0007178063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01144432,"threshold_uncertainty_score":0.8744321,"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."}}