{"id":"W2181312162","doi":"10.3847/0004-637x/818/1/92","title":"THE NANOGRAV NINE-YEAR DATA SET: ASTROMETRIC MEASUREMENTS OF 37 MILLISECOND PULSARS","year":2016,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; McGill University; University of British Columbia","funders":"","keywords":"Millisecond pulsar; Physics; Pulsar; Astrophysics; Population; Astronomy; Proper motion; Parallax; Neutron star; Green Bank Telescope; Stars","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":[0.000692282,0.0002475874,0.000275981,0.002153465,0.0003400753,0.0004477122,0.0004541193,0.0002277578,0.001101874],"category_scores_gemma":[0.001636207,0.0001626537,0.0001754265,0.002266728,0.0001723034,0.0004502973,0.0008508052,0.0003044292,0.0007464233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261514,"about_ca_system_score_gemma":0.0002719813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009063174,"about_ca_topic_score_gemma":0.02352421,"domain_scores_codex":[0.9995338,0.00004091131,0.00004943885,0.0001130954,0.0002252574,0.00003759449],"domain_scores_gemma":[0.9979194,0.0002058181,0.0004499916,0.0005343667,0.000683801,0.0002066708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002867521,0.0001063946,0.9388419,0.00007574083,0.00009700091,0.0001425954,0.0003616623,0.001392831,0.01727828,0.000415645,0.005741634,0.03525966],"study_design_scores_gemma":[0.00001761016,0.00004234315,0.9862003,0.000007042165,0.00001832178,0.00009003516,0.00006928747,0.001270883,0.002125145,0.0000799839,0.01006633,0.00001281086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9617018,0.0002041693,0.002156114,0.00007489182,0.000035449,0.00005207759,0.02987915,0.0001955261,0.005700883],"genre_scores_gemma":[0.888501,0.00020803,0.0077486,0.00009514947,0.00005544803,0.0001256368,0.101049,0.00009251802,0.002124619],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.009063174,"threshold_uncertainty_score":0.01802087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05419685408200407,"score_gpt":0.3418706933966991,"score_spread":0.287673839314695,"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."}}