{"id":"W2893674440","doi":"10.23919/ursi-at-rasc.2018.8471584","title":"A Software-Defined Spectral Line Observing System for the DVA1 Telescope","year":2018,"lang":"en","type":"article","venue":"2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC)","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dominion Astrophysical Observatory","funders":"","keywords":"Firmware; Upgrade; Telescope; Software; Observatory; Field-programmable gate array; Computer science; Radio telescope; Computer hardware; Remote sensing; Embedded system; Physics; Astronomy; Operating system; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001528498,0.0003706312,0.0004690301,0.0001975238,0.00283845,0.0002674248,0.001566618,0.00008716977,0.0001667157],"category_scores_gemma":[0.000167678,0.0002756409,0.0002090407,0.000988184,0.001360417,0.0003310328,0.0003543837,0.0002156369,0.0001524802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004311334,"about_ca_system_score_gemma":0.0002760016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009665909,"about_ca_topic_score_gemma":0.0001041554,"domain_scores_codex":[0.9968226,0.00004995039,0.0005954864,0.0008764412,0.0004540274,0.001201496],"domain_scores_gemma":[0.9976404,0.0004309844,0.0004230807,0.001051876,0.0002624233,0.0001912617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001753058,0.0002854657,0.8606569,0.0001495879,0.0003760486,0.000008368792,0.001491215,0.001400538,0.04748599,0.03867538,0.01936173,0.02993351],"study_design_scores_gemma":[0.009216284,0.002645698,0.3008638,0.001958947,0.001255155,0.0003236798,0.006649654,0.2134737,0.2349815,0.004180349,0.2197675,0.004683839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951103,0.0001438395,0.04198432,0.001074439,0.001419399,0.0008637325,0.0000307623,0.0002729048,0.003107601],"genre_scores_gemma":[0.9694023,0.000002783504,0.02755918,0.00004972446,0.001625175,0.0001186596,0.00002284632,0.00004516916,0.001174204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5597931,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755620519767268,"score_gpt":0.243617434986982,"score_spread":0.2260612297893093,"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."}}