{"id":"W2069253351","doi":"10.1117/12.390431","title":"<title>The large adaptive reflector: a 200-m diameter wideband centimeter- to meter-wave radio telescope</title>","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia; University of Alberta; University of Victoria; University of Calgary; National Research Council Canada; Herzberg Institute of Astrophysics","funders":"","keywords":"Optics; Parabolic reflector; Feed horn; Telescope; Radio telescope; Focal length; Wideband; Physics; Reflector (photography); Parabolic antenna; Offset dish antenna; Cassegrain reflector; Cassegrain antenna; Wavelength; Antenna (radio); Periscope antenna; Electrical engineering; Engineering; Omnidirectional antenna; Microwave","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":[0.0003268858,0.0004055148,0.0002634907,0.0003939117,0.0004118273,0.001269283,0.0007783841,0.0009988034,0.09421297],"category_scores_gemma":[0.0003218772,0.0001987322,0.0002420131,0.0003628563,0.000486251,0.0013175,0.0005557195,0.000961746,0.06512506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087258,"about_ca_system_score_gemma":0.0006752618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017969,"about_ca_topic_score_gemma":0.003076324,"domain_scores_codex":[0.9997638,0.00001724782,0.000007078039,0.00006529297,0.000108565,0.00003812572],"domain_scores_gemma":[0.9997615,0.00002085259,0.00002224672,0.00003529453,0.00009819522,0.00006183428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005287484,0.00009275671,0.0009000879,0.000411078,0.00001396673,0.0003989958,0.00005378836,0.0006205169,0.07151175,0.03262441,0.606546,0.2862978],"study_design_scores_gemma":[0.00005173273,0.0002373828,0.001200052,0.00002783183,0.000004140831,0.0002475182,0.00002023473,0.0005790645,0.01212441,0.0009780204,0.9845126,0.0000170375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01827656,0.005869131,0.03814004,0.01123674,0.01348793,0.001006399,0.007692853,0.01006105,0.8942294],"genre_scores_gemma":[0.05942204,0.002756134,0.01619869,0.002711207,0.001193421,0.0001765894,0.004129951,0.001403267,0.9120086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09421297,"threshold_uncertainty_score":0.3151738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268668040350749,"score_gpt":0.2120887819829964,"score_spread":0.199402101579489,"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."}}