{"id":"W2037521452","doi":"10.1117/12.788128","title":"Performance of the pre-production band 3 (84-116 GHz) receivers for ALMA","year":2008,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Herzberg Institute of Astrophysics","funders":"","keywords":"Millimeter; Submillimeter Array; Frequency band; Computer science; Extremely high frequency; Telecommunications; Remote sensing; Physics; Bandwidth (computing); Optics; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003066587,0.0002264193,0.0003027659,0.00004225779,0.0001847689,0.00001893175,0.0006079127,0.00008589937,0.00002427219],"category_scores_gemma":[0.0001662269,0.0001660038,0.0005707248,0.0002362453,0.0003413178,0.0005053045,0.00006708939,0.0002180633,4.437092e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008249964,"about_ca_system_score_gemma":0.00004895395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007541457,"about_ca_topic_score_gemma":4.478846e-8,"domain_scores_codex":[0.9984801,1.357219e-8,0.000486119,0.0002901795,0.0004603772,0.0002831976],"domain_scores_gemma":[0.9980484,0.00006748441,0.0004029426,0.0000663607,0.001358374,0.00005640951],"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":[0.0004313941,0.0002287278,0.01026652,0.0006995349,0.0007756083,1.853473e-8,0.0008421407,0.001635062,0.5722883,0.4034649,0.00782722,0.001540517],"study_design_scores_gemma":[0.001915233,0.0004839543,0.005270842,0.0004974603,0.0002383476,0.00001051173,0.001205192,0.0134991,0.9598429,0.005333859,0.01121903,0.0004835373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928745,0.00003503272,0.00008642852,0.0007727554,0.0003985784,0.0006160802,0.0001168426,0.0000239434,0.005075821],"genre_scores_gemma":[0.9730766,0.00005025609,0.02489771,0.00001840594,0.0009209306,0.0001329538,0.000007717077,0.00003676792,0.0008586215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.398131,"threshold_uncertainty_score":0.676944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009363107731436188,"score_gpt":0.2214378060501113,"score_spread":0.2120746983186751,"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."}}