{"id":"W2095281715","doi":"10.1117/12.2072288","title":"Use of very low departure aspheric surfaces in high quality camera lenses","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Raytheon Technologies (Canada)","funders":"","keywords":"Optics; Computer science; Quality (philosophy); Computer graphics (images); 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":[0.0004640335,0.0006696721,0.0003192897,0.0004497493,0.0003555642,0.001338365,0.0007891855,0.0009528719,0.002674916],"category_scores_gemma":[0.001102298,0.0004787614,0.00037137,0.0003814884,0.0004547132,0.00101686,0.000587923,0.0008020507,0.00145397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006362109,"about_ca_system_score_gemma":0.0003632405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005504201,"about_ca_topic_score_gemma":0.001004091,"domain_scores_codex":[0.9991783,0.00009728206,0.00004920602,0.000121041,0.0004643795,0.00008974454],"domain_scores_gemma":[0.9981813,0.0004068959,0.0004085959,0.0003614002,0.0005163117,0.0001254156],"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":[0.0002097603,0.00006161015,0.001765504,0.0002354369,0.0000190806,0.0002919597,0.0001200041,0.001618707,0.9602081,0.006119338,0.001229817,0.02812063],"study_design_scores_gemma":[0.00006773206,0.0007660346,0.006193542,0.00003579598,0.00003103946,0.001375477,0.0001310545,0.008840969,0.9544888,0.001468795,0.02652576,0.00007498128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5713885,0.001962404,0.3821871,0.0006858397,0.0003265929,0.0002024179,0.0004269117,0.001950854,0.04086937],"genre_scores_gemma":[0.7364314,0.0005612042,0.2511714,0.0001684281,0.00007342509,0.00006161563,0.0002739999,0.0003356115,0.01092293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002674916,"threshold_uncertainty_score":0.008948445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156419590510115,"score_gpt":0.233301200303727,"score_spread":0.2176592412527155,"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."}}