{"id":"W4311141708","doi":"10.1364/ao.477250","title":"2022 Optical Interference Coatings Conference: Manufacturing Problem Contest [Invited]","year":2022,"lang":"en","type":"article","venue":"Applied Optics","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"CONTEST; Transmittance; Interference (communication); Filter (signal processing); Optics; Materials science; Optical filter; Optical coating; Interference filter; Deposition (geology); Optoelectronics; Computer science; Telecommunications; Coating; Physics; Engineering; Nanotechnology; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01181405,0.002006422,0.001096327,0.001467447,0.007120626,0.00716364,0.002188153,0.009996119,0.03452169],"category_scores_gemma":[0.008789468,0.0006946622,0.001254459,0.000784694,0.001660787,0.002071209,0.003721891,0.006399256,0.01154941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004786766,"about_ca_system_score_gemma":0.008566941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009553821,"about_ca_topic_score_gemma":0.02619251,"domain_scores_codex":[0.9904433,0.001347693,0.0003328723,0.001011004,0.004976892,0.001888311],"domain_scores_gemma":[0.9887099,0.001327187,0.0004401238,0.000342606,0.006001273,0.003178946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003718528,0.000159154,0.0009048248,0.0001320546,0.0000347575,0.000822233,0.0003272287,0.0004364646,0.00602426,0.002286357,0.9606854,0.02781541],"study_design_scores_gemma":[0.00004059389,0.0001781372,0.001272914,0.00005186257,0.00001774148,0.0001876987,0.0005778737,0.0006599654,0.002850736,0.0009316253,0.9931833,0.00004747323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04120211,0.02273695,0.01556634,0.414452,0.3530844,0.00205528,0.001803471,0.001133621,0.1479657],"genre_scores_gemma":[0.1471605,0.006429475,0.01289172,0.07182569,0.07321218,0.001246169,0.002847181,0.001434428,0.6829526],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03452169,"threshold_uncertainty_score":0.1154866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031864429665907,"score_gpt":0.2087395368612746,"score_spread":0.1884208925646155,"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."}}