{"id":"W2018159744","doi":"10.1364/ao.47.004140","title":"Optical filters with prescribed optical thickness and refined refractive indices","year":2008,"lang":"en","type":"article","venue":"Applied Optics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"","keywords":"Optics; Refractive index; Optical filter; Narrowband; Materials science; Filter (signal processing); Enhanced Data Rates for GSM Evolution; Computer science; Telecommunications; Physics","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":[0.00009236206,0.0002725564,0.0003280022,0.0000627424,0.0001247584,0.00004876217,0.0001768203,0.0001970503,0.00002274754],"category_scores_gemma":[0.00002649466,0.0002207444,0.00002914454,0.0001833313,0.0003784076,0.0001549576,0.00007291506,0.0004479092,0.00004896531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004129902,"about_ca_system_score_gemma":0.00003506681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003731751,"about_ca_topic_score_gemma":0.000007398855,"domain_scores_codex":[0.9987069,0.000007929113,0.0002371355,0.0003125902,0.0002985972,0.0004368572],"domain_scores_gemma":[0.9991557,0.0002504934,0.00003116021,0.0002727377,0.00004029856,0.0002496333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002806691,0.001080427,0.00192832,0.001515551,0.002310392,0.001695132,0.01155597,0.03200382,0.08332153,0.8308046,0.003313922,0.02766364],"study_design_scores_gemma":[0.02358705,0.002981195,0.1503493,0.000854074,0.002090812,0.003210332,0.006776099,0.4154797,0.3175988,0.009288163,0.05652277,0.01126163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781079,0.0002351135,0.005559855,0.0001501892,0.00009428756,0.0003291634,0.00001009122,0.000399387,0.2151141],"genre_scores_gemma":[0.9616004,0.0002293502,0.03772905,0.0001704809,0.0000697911,0.00005431187,0.00001347371,0.00005133579,0.00008175932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8215165,"threshold_uncertainty_score":0.9001695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009311713923493,"score_gpt":0.1942805612730813,"score_spread":0.1841874441338463,"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."}}