{"id":"W4285489911","doi":"10.1117/12.2630496","title":"The SKA Mid SPFRx receiver/digitizer qualification model testing","year":2022,"lang":"en","type":"article","venue":"Ground-based and Airborne Telescopes IX","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Firmware; Field-programmable gate array; Gigabit Ethernet; Computer science; Computer hardware; Ethernet; Software-defined radio; Radio frequency; Gigabit; Chip; Electrical engineering; Electronic engineering; Embedded system; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003135816,0.0001850226,0.0001741577,0.00007013353,0.001424389,0.0001473664,0.0003141915,0.00002859819,0.00009316121],"category_scores_gemma":[0.00001582842,0.0001581134,0.00006521645,0.0003463026,0.0001541087,0.0001500384,0.0001081264,0.0002959186,0.000008676707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006078292,"about_ca_system_score_gemma":0.0001581053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002706874,"about_ca_topic_score_gemma":0.000008626711,"domain_scores_codex":[0.9987721,0.00006993594,0.00030165,0.0003478077,0.0001674312,0.0003411194],"domain_scores_gemma":[0.9991179,0.0001939103,0.0001719085,0.0003886003,0.00006645123,0.00006122009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007425599,0.0003332658,0.02849477,0.00001873268,0.00009811894,0.000002466354,0.0001797542,0.03834042,0.001759519,0.1369879,0.003426681,0.7902841],"study_design_scores_gemma":[0.004252778,0.0008041231,0.02241751,0.00008187066,0.0001716385,0.00001229294,0.005313876,0.5478604,0.005225722,0.0692219,0.342911,0.001726813],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939356,0.0002588875,0.05286127,0.002670601,0.0001562028,0.0004144564,0.0001372409,0.0001951904,0.003950217],"genre_scores_gemma":[0.9928454,0.000002633971,0.005922162,0.0001572519,0.000113104,0.0002332449,0.0001089593,0.00002594566,0.0005913007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7885573,"threshold_uncertainty_score":0.9998756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282983595301539,"score_gpt":0.2333686112083847,"score_spread":0.2105387752553693,"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."}}