{"id":"W3024602437","doi":"10.3847/1538-4365/abc6a0","title":"The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars","year":2020,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; University of British Columbia; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Jet Propulsion Laboratory; Eötvös Loránd Tudományegyetem; National Science Foundation; University of Central Florida; California Institute of Technology; National Aeronautics and Space Administration; Magyar Tudományos Akadémia; Chinese Academy of Sciences","keywords":"Millisecond pulsar; Pulsar; Observatory; Gravitational wave; Noise (video); Telescope; Gravitational-wave observatory; Neutron star; Narrowband","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":[0.0002788629,0.0001335278,0.0001750496,0.00001516899,0.0008243421,0.0002242857,0.0006537001,0.00001200095,0.0002301356],"category_scores_gemma":[0.0000276844,0.0000756013,0.00007576851,0.0001273763,0.0002803731,0.0003809871,0.0003763416,0.0002931633,0.000003595467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009524708,"about_ca_system_score_gemma":0.00008496475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000279206,"about_ca_topic_score_gemma":0.000005999745,"domain_scores_codex":[0.9986557,0.0001024385,0.0003230872,0.0001661694,0.0004690483,0.0002835063],"domain_scores_gemma":[0.9991022,0.0001859433,0.0001644919,0.0002753204,0.0001333509,0.0001386762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001975581,0.0006532848,0.0344903,0.0001658815,0.003215156,0.00003042928,0.01422593,0.001373249,0.310316,0.2967829,0.2851418,0.05162949],"study_design_scores_gemma":[0.003704259,0.00198352,0.08873235,0.0001492064,0.0004005216,0.00003306069,0.03307912,0.009765214,0.01085663,0.4156111,0.4347396,0.0009455073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662222,0.0005116837,0.005803143,0.1071674,0.0002249655,0.0007142479,0.0192361,0.000005901944,0.0001144093],"genre_scores_gemma":[0.9924574,0.00006392506,0.005112192,0.0001453553,0.0006429518,0.00001054327,0.0009474937,0.00001727307,0.0006027969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994594,"threshold_uncertainty_score":0.6340256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07547178775662675,"score_gpt":0.3359622368819968,"score_spread":0.26049044912537,"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."}}