{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003830755,0.0009791926,0.0004960754,0.0005856376,0.000257441,0.0008305795,0.0008101179,0.0006213916,0.0005874512],"category_scores_gemma":[0.0008300811,0.0006334459,0.0004163016,0.0004760512,0.0005948549,0.0009874047,0.0003808707,0.0006004846,0.0003665658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017196,"about_ca_system_score_gemma":0.0006567658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009978039,"about_ca_topic_score_gemma":0.002959086,"domain_scores_codex":[0.9996774,0.00002229663,0.0000282438,0.00009440225,0.0001166975,0.00006097375],"domain_scores_gemma":[0.9992144,0.0001106764,0.000346425,0.0001467387,0.0001362236,0.00004555128],"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":[0.0001045984,0.00003437974,0.000517351,0.00007356768,0.00002931493,0.00004767568,0.00004443802,0.009695195,0.9793319,0.002788041,0.0001240575,0.00720952],"study_design_scores_gemma":[0.00007230724,0.0002474237,0.001410644,0.0000175831,0.00007243271,0.0002332459,0.0000271237,0.04636385,0.9457591,0.00133412,0.004406916,0.00005532822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.656701,0.001158004,0.3340844,0.0001806089,0.0001289511,0.0001123214,0.0003077477,0.000688831,0.006638203],"genre_scores_gemma":[0.6417182,0.000789867,0.3533785,0.0001229233,0.00004877885,0.0001514059,0.0002059067,0.0001671064,0.003417223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001017196,"threshold_uncertainty_score":0.007380307,"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."}}