{"id":"W2802851734","doi":"10.22323/1.277.0032","title":"A Large Sky Survey with MeerKAT","year":2018,"lang":"en","type":"article","venue":"","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Universities Space Research Association; Jet Propulsion Laboratory; Claude Leon Foundation; National Research Foundation; University of Portsmouth; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Redshift; Physics; Large Synoptic Survey Telescope; Intensity mapping; Galaxy; Dark energy; Sky; Telescope; Astrophysics; Universe; Reionization; Astronomy; Baryon acoustic oscillations; Cosmology; Remote sensing; Geography","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":[0.001606315,0.0005082313,0.0004157691,0.003103127,0.0006039948,0.001283337,0.0008705399,0.0005196609,0.02674947],"category_scores_gemma":[0.00232739,0.0004497795,0.0005179595,0.002711271,0.0002713279,0.001915444,0.002192509,0.001188561,0.02054927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005860863,"about_ca_system_score_gemma":0.000784995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006203896,"about_ca_topic_score_gemma":0.009628999,"domain_scores_codex":[0.9990903,0.0001609519,0.00002831748,0.0002495593,0.0003374429,0.0001334735],"domain_scores_gemma":[0.9989054,0.0001196571,0.0001230138,0.000450401,0.0001980481,0.0002035185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005682089,0.0001458733,0.04625054,0.0003303339,0.0002551338,0.0003086533,0.0007500079,0.003392343,0.008566465,0.01905624,0.6291723,0.2912039],"study_design_scores_gemma":[0.0001333495,0.00006228706,0.07676473,0.0000729243,0.00004641331,0.0003090035,0.0001331084,0.008075292,0.002356277,0.008207689,0.9037713,0.00006779095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1228946,0.003828099,0.1164003,0.006983463,0.0007889048,0.001117289,0.39864,0.0465166,0.3028308],"genre_scores_gemma":[0.2145677,0.001809723,0.2427087,0.002555903,0.000754868,0.001381446,0.4397649,0.006031384,0.09042539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02674947,"threshold_uncertainty_score":0.08948588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092851711146908,"score_gpt":0.2313284055882938,"score_spread":0.2203998884768247,"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."}}