{"id":"W2498327851","doi":"10.1117/12.2232952","title":"The Infrared Imaging Spectrograph (IRIS) for TMT: the ADC optical design","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced optical system design","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; National Astronomical Observatory of Japan; Association of Canadian Universities for Research in Astronomy; National Institutes of Natural Sciences; California Institute of Technology; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Spectrograph; IRIS (biosensor); Residual; Pupil; Passband; Infrared; Displacement (psychology); Adaptive optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007839563,0.0004662821,0.0003712083,0.0009247864,0.0007439039,0.001517842,0.001072776,0.0009232633,0.009896101],"category_scores_gemma":[0.001086007,0.0004220447,0.0002395822,0.0007373727,0.0005072445,0.001168245,0.0006283988,0.001304964,0.004775678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299617,"about_ca_system_score_gemma":0.001035763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813051,"about_ca_topic_score_gemma":0.002359243,"domain_scores_codex":[0.9989855,0.00008397815,0.00005409006,0.0001917586,0.0006053413,0.00007943789],"domain_scores_gemma":[0.9992636,0.00006354182,0.00008763689,0.00009417994,0.0004118427,0.00007922151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007479428,0.0001297724,0.005332178,0.0007647129,0.00005972374,0.0005119076,0.0004433166,0.002414397,0.5250785,0.04694532,0.02493253,0.3926396],"study_design_scores_gemma":[0.0001016438,0.0006613881,0.004845771,0.0001108928,0.00009470257,0.005596875,0.0001080106,0.03021074,0.5405117,0.002270786,0.4153441,0.0001433775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04958317,0.005247201,0.8258496,0.002552078,0.000997791,0.000626036,0.001357172,0.0127601,0.1010268],"genre_scores_gemma":[0.2668525,0.001611512,0.6751542,0.001006022,0.0003176628,0.0002563385,0.0008849509,0.0007901941,0.05312667],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009896101,"threshold_uncertainty_score":0.03310573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096925466318981,"score_gpt":0.2217929861449268,"score_spread":0.2108237314817369,"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."}}