{"id":"W2604803781","doi":"","title":"Advancing Precision Cosmology with 21 cm Intensity Mapping","year":2013,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Astronomical Observatories, Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research; California Institute of Technology; Gordon and Betty Moore Foundation; John Templeton Foundation; National Science Foundation","keywords":"Cosmology; Intensity mapping; Intensity (physics); Geodesy; Physics; Computer science; Astronomy; Geography; Optics; Redshift; Galaxy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007465856,0.0002944545,0.0004455865,0.0001711188,0.000153895,0.00004292475,0.0002363125,0.0001804148,0.0008029522],"category_scores_gemma":[0.000008358859,0.0002624434,0.0000807251,0.000208517,0.00004089783,0.0001166782,0.00003728675,0.0004878339,0.0001987888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005492937,"about_ca_system_score_gemma":0.0001144104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009315555,"about_ca_topic_score_gemma":0.00007162299,"domain_scores_codex":[0.9988473,0.00002228675,0.0002383881,0.0004108374,0.0001143813,0.0003667996],"domain_scores_gemma":[0.9989288,0.0000462933,0.0003066893,0.0004329688,0.0002188449,0.00006634949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005797009,0.0007928084,0.1647411,0.0003499431,0.001924651,0.00005798228,0.01014162,0.0008095935,0.014706,0.05259284,0.05876476,0.6945391],"study_design_scores_gemma":[0.005451661,0.001193539,0.2541948,0.002452133,0.0007867296,0.00007276272,0.1779323,0.003358083,0.05121695,0.03896051,0.458797,0.005583566],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667694,0.00007710358,0.01533493,0.0002827437,0.0003618089,0.0004289427,0.000005109367,0.00009882473,0.01664113],"genre_scores_gemma":[0.9534613,0.0000043597,0.0142474,0.00003041451,0.0002336206,0.0001581685,0.0009884986,0.00006063321,0.03081556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6889555,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009762410227230749,"score_gpt":0.2656048572854923,"score_spread":0.2558424470582615,"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."}}