{"id":"W2894940371","doi":"10.3847/1538-3881/aade8a","title":"Concentric Circles and Spiral Configurations for Large Correlator Arrays in Radio Astronomy","year":2018,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"National Supercomputing Center, Korea Institute of Science and Technology Information; European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Giant Metrewave Radio Telescope; Physics; Radio telescope; Radio astronomy; Spiral (railway); Spiral antenna; Optics; Cover (algebra); Antenna (radio); Radio frequency; Astrophysics; Omnidirectional antenna; Telecommunications; Computer science; Radio galaxy; Galaxy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001763712,0.00007777446,0.0001061921,0.00003551301,0.000133088,0.00006278103,0.00008871757,0.00003451505,0.00006785477],"category_scores_gemma":[0.00001468751,0.00006234146,0.00003545263,0.00004530432,0.00006668662,0.0001226389,0.000009072115,0.0001633402,0.00001349217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005287911,"about_ca_system_score_gemma":0.0000249167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.372578e-7,"about_ca_topic_score_gemma":0.00000171968,"domain_scores_codex":[0.9994577,0.00002291429,0.0001914959,0.00006636187,0.00003567017,0.0002258716],"domain_scores_gemma":[0.9997514,0.00005546624,0.00003611545,0.00006047548,0.00002501897,0.00007153573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00133142,0.0004738453,0.3331045,0.00007579725,0.0008564516,0.000007920734,0.00934132,0.381263,0.03687613,0.05275452,0.02856101,0.1553541],"study_design_scores_gemma":[0.003311376,0.0001942944,0.0998524,0.00003849744,0.00004494641,0.00005033678,0.0007057242,0.8847665,0.0006813702,0.0003634816,0.009743739,0.0002473518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3604128,0.00009133884,0.6390461,0.0000816908,0.0001685884,0.0001060062,0.000006113284,0.00001501276,0.00007232747],"genre_scores_gemma":[0.989683,0.00001019326,0.009776665,0.00001948718,0.0004690413,0.000007062429,0.000004184152,0.00001282698,0.00001758317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6292702,"threshold_uncertainty_score":0.2542211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008535483265296902,"score_gpt":0.2055716409180081,"score_spread":0.1970361576527112,"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."}}