{"id":"W4393481860","doi":"10.5281/zenodo.7096886","title":"A NICER View of the Massive Pulsar PSR J0740+6620 Informed by Radio Timing and XMM-Newton Spectroscopy: Nested Samples for Millisecond Pulsar Parameter Estimation","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Millisecond pulsar; Pulsar; Astrophysics; Physics; Millisecond; Astronomy","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":[0.001217074,0.001292518,0.0009168836,0.001916005,0.0006620889,0.001825423,0.002241592,0.001671864,0.07037076],"category_scores_gemma":[0.005308551,0.0006573848,0.001074464,0.003144789,0.0003754502,0.001344213,0.001941533,0.001919618,0.07277835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039207,"about_ca_system_score_gemma":0.001708082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01623672,"about_ca_topic_score_gemma":0.0363383,"domain_scores_codex":[0.9993393,0.0001091403,0.00007126891,0.0002232441,0.0001749963,0.00008212557],"domain_scores_gemma":[0.9980125,0.0006358556,0.0001564551,0.0007142258,0.0003117972,0.0001690471],"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":[0.00007164726,0.00002468947,0.001530933,0.0003948635,0.00003956334,0.00003583161,0.00002788855,0.0005371887,0.0003098131,0.0008699092,0.9923722,0.003785531],"study_design_scores_gemma":[0.0003752586,0.00002154574,0.0108815,0.0002493642,0.00004363806,0.0001597216,0.00006277938,0.001440555,0.000865729,0.003890179,0.9819614,0.00004837812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002697937,0.00003891536,0.0003022258,0.00007843161,0.00002967614,0.000009320305,0.997767,0.0007858712,0.0007187697],"genre_scores_gemma":[0.0008507965,0.00003527777,0.000987766,0.00005291973,0.000008939834,0.00005155245,0.9973131,0.0001850995,0.0005146118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07037076,"threshold_uncertainty_score":0.2354137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742295551656079,"score_gpt":0.3006289273728936,"score_spread":0.2732059718563328,"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."}}