{"id":"W2963891109","doi":"10.1088/1538-3873/ab5bfd","title":"Data Analysis for Precision 21 cm Cosmology","year":2020,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of the Pacific","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Herzberg Institute of Astrophysics; University of British Columbia; McGill University","funders":"Division of Astronomical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Cosmology; Physics; Timeline; Observational cosmology; Telescope; Astronomy; Pipeline (software); Field (mathematics); Computer science; Astrophysics; Dark energy; Geography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01134844,0.001384222,0.00160852,0.007510339,0.001067945,0.005772349,0.002440691,0.001243188,0.01405797],"category_scores_gemma":[0.04689385,0.0008017947,0.001880151,0.009938478,0.001567546,0.005872238,0.004381764,0.003749211,0.01018417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478277,"about_ca_system_score_gemma":0.00383847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003007508,"about_ca_topic_score_gemma":0.001901482,"domain_scores_codex":[0.9940516,0.001685575,0.0005782747,0.001185112,0.002285823,0.0002135656],"domain_scores_gemma":[0.9767294,0.008708603,0.002135512,0.00561012,0.006336921,0.0004795078],"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":[0.0001129843,0.00005102352,0.015481,0.003808549,0.0006111857,0.0003051949,0.0009298198,0.00459012,0.004050363,0.1787938,0.1018263,0.6894397],"study_design_scores_gemma":[0.00003401529,0.00006786044,0.02149259,0.00310841,0.0002043548,0.0006449469,0.0008766528,0.01082262,0.004184557,0.2887489,0.6696517,0.0001634156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004998634,0.03136728,0.9034997,0.00585399,0.001404592,0.0005174103,0.02128943,0.007588324,0.02348063],"genre_scores_gemma":[0.05521384,0.03769284,0.8622224,0.002965484,0.002423448,0.001631938,0.02944061,0.003097914,0.005311609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01405797,"threshold_uncertainty_score":0.06001699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689246332466712,"score_gpt":0.2644787386742147,"score_spread":0.2175862753495476,"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."}}