{"id":"W4406366174","doi":"10.3847/2041-8213/ad9f2e","title":"Predicting the Rate of Fast Radio Bursts in Globular Clusters from Binary Black Hole Observations","year":2025,"lang":"en","type":"article","venue":"The Astrophysical Journal Letters","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Globular cluster; Astrophysics; Gravitational wave; Redshift; Chandrasekhar limit; Coalescence (physics); White dwarf; Neutron star; Binary black hole; Population; Astronomy; Stars; Galaxy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006406997,0.0004256624,0.0002487985,0.002005718,0.0002550774,0.0006640707,0.0004439337,0.0005055064,0.0005447748],"category_scores_gemma":[0.00227806,0.000269436,0.0003157007,0.0008998965,0.0001996056,0.0003842596,0.0004582681,0.0002357149,0.0003820005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006389201,"about_ca_system_score_gemma":0.0002126678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251039,"about_ca_topic_score_gemma":0.009846434,"domain_scores_codex":[0.9998933,0.00001596611,0.000005368602,0.00004283361,0.00002113513,0.00002136616],"domain_scores_gemma":[0.9987144,0.0004035888,0.0004265008,0.0001401258,0.0001207486,0.0001946943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000592468,0.00001925933,0.9638799,0.00001094698,0.00004641009,0.00005490287,0.00003648043,0.02717857,0.002764546,0.0002098844,0.0001241946,0.005615755],"study_design_scores_gemma":[0.0000129324,0.00003210636,0.6936053,0.0000075428,0.00003592211,0.00004634312,0.00005047582,0.3035381,0.001979628,0.0004621233,0.0002158132,0.00001375374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972241,0.00005730525,0.002098489,0.00001406261,0.000002294747,0.000007350568,0.0002317099,0.00006615165,0.0002985477],"genre_scores_gemma":[0.9982968,0.00003182127,0.001243662,0.000003243828,0.000003513806,0.000003536057,0.0003177437,0.00000763947,0.00009193748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251039,"threshold_uncertainty_score":0.02487516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288687586119401,"score_gpt":0.2805091007467548,"score_spread":0.2676222248855608,"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."}}