{"id":"W3041116676","doi":"10.1017/pasa.2020.24","title":"MWA tied-array processing III: Microsecond time resolution via a polyphase synthesis filter","year":2020,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of Australia","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Government of Western Australia; Curtin University of Technology; Australian Government; Astronomy Australia Limited; National Science Foundation","keywords":"Polyphase system; Microsecond; Filter (signal processing); Computer science; Bandwidth (computing); Physics; Electronic engineering; Optics; Telecommunications; Engineering","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":[0.0002509269,0.0003556674,0.0001786036,0.0004083437,0.000277904,0.000850637,0.0004391079,0.0003248518,0.008468923],"category_scores_gemma":[0.0006027251,0.0002602209,0.0001413038,0.0003579064,0.0001961138,0.0005296877,0.0003961537,0.0004602879,0.002184261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031525,"about_ca_system_score_gemma":0.000353119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009896967,"about_ca_topic_score_gemma":0.002617625,"domain_scores_codex":[0.9997665,0.00002520713,0.00001206014,0.00006143349,0.0001007531,0.0000340819],"domain_scores_gemma":[0.9996954,0.0001001271,0.00003035879,0.00007902977,0.00007398214,0.00002109776],"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":[0.0004560801,0.00005542137,0.00150322,0.00006301938,0.00002475257,0.00008982455,0.0001167783,0.002372821,0.7041944,0.004135794,0.002252027,0.2847358],"study_design_scores_gemma":[0.00005341409,0.0004151399,0.01027092,0.0000177192,0.00002768947,0.0004663868,0.00008105746,0.1331224,0.8071206,0.002502984,0.04587176,0.0000499311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1122809,0.0002260344,0.8732158,0.0001992024,0.0001187749,0.0001039914,0.000368655,0.00441944,0.009067104],"genre_scores_gemma":[0.4073508,0.0001260868,0.5710661,0.0001349393,0.00008250089,0.0001589246,0.0008494317,0.0004602919,0.01977089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008468923,"threshold_uncertainty_score":0.0283314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737918207215967,"score_gpt":0.2459030359814306,"score_spread":0.2185238539092709,"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."}}