{"id":"W4393457451","doi":"10.5281/zenodo.3707821","title":"A NICER View of PSR J0030+0451: Nested Samples for Millisecond Pulsar Parameter Estimation","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"European Commission","keywords":"Millisecond pulsar; Physics; Pulsar; Astrophysics; Estimation; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002957038,0.0002454707,0.0003627157,0.0001665324,0.0004952461,0.0004037714,0.0007942975,0.0001604557,0.005975047],"category_scores_gemma":[0.0006948491,0.0002644714,0.00009221569,0.0003485599,0.00008538061,0.0001752729,0.0003084052,0.0002247188,0.002470834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007189572,"about_ca_system_score_gemma":0.000004811845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003404711,"about_ca_topic_score_gemma":9.464703e-7,"domain_scores_codex":[0.9985375,0.0001104856,0.000480745,0.0003794938,0.0002104036,0.0002813729],"domain_scores_gemma":[0.9987956,0.00008597678,0.0001319814,0.0005518093,0.0003103666,0.000124237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001408589,0.00003786047,3.598903e-8,0.001059195,0.00007530714,8.841031e-7,0.0001116511,0.0004391784,0.005379195,0.00007521539,0.9793532,0.01345417],"study_design_scores_gemma":[0.0002774725,0.00008780023,0.000008099551,0.00009161951,0.00007582634,0.00001812323,0.00006305073,0.001304999,0.00148579,0.0001349393,0.9962004,0.0002518389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001260776,0.0001588048,0.004110316,0.0001414539,0.0001977038,0.0009785646,0.9924093,0.000426875,0.0003161358],"genre_scores_gemma":[0.001984611,0.0003403307,0.001995764,0.00007014332,0.0001932318,0.000001041998,0.9942835,0.001097911,0.00003346098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01684722,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06042687846176557,"score_gpt":0.2604582381569792,"score_spread":0.2000313596952136,"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."}}