{"id":"W2781486474","doi":"10.3847/1538-4365/aab5b0","title":"The NANOGrav 11-year Data Set: High-precision Timing of 45 Millisecond Pulsars","year":2018,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":600,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Jet Propulsion Laboratory; University of Toronto; Chinese Academy of Sciences; Flatiron Health; California Institute of Technology; National Aeronautics and Space Administration; Universities Space Research Association; National Science Foundation","keywords":"Pulsar; Millisecond pulsar; Observatory; Gravitational wave; Green Bank Telescope; Noise (video); Telescope; Binary pulsar","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005555089,0.0001669914,0.0002072464,0.0000365769,0.001062387,0.00024576,0.001292885,0.00001874185,0.00116398],"category_scores_gemma":[0.0000222691,0.00008871563,0.0001174061,0.0001871113,0.000516123,0.0003935589,0.0006169177,0.0003012335,0.0000519693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001899744,"about_ca_system_score_gemma":0.00008113227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000858728,"about_ca_topic_score_gemma":0.00001481161,"domain_scores_codex":[0.9981183,0.0001685938,0.0004093034,0.0002059685,0.000663374,0.0004344527],"domain_scores_gemma":[0.9985255,0.000236995,0.0002284508,0.0006472406,0.000246765,0.0001150582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002570827,0.0009259079,0.009545882,0.00004076718,0.001882933,0.0000183415,0.003026037,0.000268074,0.169991,0.4152899,0.3058614,0.090579],"study_design_scores_gemma":[0.002280817,0.001793031,0.03366426,0.0001297037,0.0001815953,0.00001897509,0.01028645,0.001141079,0.03266817,0.7014329,0.2158253,0.0005777294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759069,0.00007571361,0.005863632,0.009595581,0.0006014624,0.000430999,0.007384723,0.000003889134,0.0001371015],"genre_scores_gemma":[0.9873337,0.00002302399,0.008438104,0.00002892536,0.001601782,0.000007681912,0.0008092271,0.00002059824,0.001737023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.286143,"threshold_uncertainty_score":0.9997491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840576371724022,"score_gpt":0.3431520976838538,"score_spread":0.3147463339666136,"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."}}