{"id":"W2095661619","doi":"10.1364/ao.45.001544","title":"Optical Interference Coatings Design Contest 2004","year":2006,"lang":"en","type":"article","venue":"Applied Optics","topic":"Optical Coatings and Gratings","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences; JDSU (Canada)","funders":"","keywords":"Optics; Interference (communication); Coating; Materials science; Broadband; CONTEST; Interference filter; Optical coating; Optical filter; Filter (signal processing); Optoelectronics; Computer science; Telecommunications; Physics; Nanotechnology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004679191,0.0002372224,0.0002839587,0.00003782225,0.0001800108,0.0002681298,0.0003496443,0.0001237566,0.0002083533],"category_scores_gemma":[0.0001759913,0.0002071595,0.00004684017,0.0001643754,0.0002707148,0.000108061,0.0001357866,0.0002080292,0.0009647358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004389388,"about_ca_system_score_gemma":0.00005466523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004364161,"about_ca_topic_score_gemma":0.000009574404,"domain_scores_codex":[0.9982694,0.00002333034,0.0004658621,0.0004170524,0.0003051209,0.0005192769],"domain_scores_gemma":[0.9988853,0.0004287119,0.0001429239,0.0002907848,0.0001261698,0.0001261021],"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":[0.00002818382,0.0001130968,0.00003915508,0.00001286637,0.000001461964,0.00000631103,0.00005944652,0.0004673064,0.7470005,0.2502188,0.001633786,0.0004191234],"study_design_scores_gemma":[0.0007577887,0.0003440401,0.0002354229,0.00004797653,0.00003912714,0.00001712028,0.0001778362,0.002659068,0.9707533,0.02360972,0.0007830537,0.0005756242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5641611,0.00005508105,0.3215966,0.0004298981,0.0002741744,0.000556372,0.00001390562,0.0003839878,0.1125289],"genre_scores_gemma":[0.7967794,0.000001225106,0.2022278,0.0002895467,0.0001595834,0.00003734374,0.00000712113,0.00002512798,0.0004728769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2326183,"threshold_uncertainty_score":0.9998131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910511173262202,"score_gpt":0.2312759865614979,"score_spread":0.2121708748288759,"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."}}