{"id":"W7106784029","doi":"","title":"Fast Radio Bursts from White Dwarf Binary Mergers: Isolated and Triple-Induced Channels","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Advanced Scientific Computing Research; Alfred P. Sloan Foundation; Office of Science; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"White dwarf; Galaxy; Neutron star; Redshift; Magnetar; Binary number; Population; Stars","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":[0.0001958606,0.0003632888,0.0002238023,0.0003633357,0.0001599064,0.0006519918,0.0003368368,0.00028885,0.001135858],"category_scores_gemma":[0.0006869583,0.0001641964,0.0004403518,0.0002816055,0.0002672424,0.0003280587,0.0005826803,0.000241044,0.0001301752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489339,"about_ca_system_score_gemma":0.0001716854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735191,"about_ca_topic_score_gemma":0.001895396,"domain_scores_codex":[0.9999008,0.00001231126,0.000004826208,0.00003407813,0.00001695546,0.00003104065],"domain_scores_gemma":[0.9996111,0.0001249644,0.000102768,0.00002867877,0.00002502679,0.0001076098],"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":[0.002707902,0.0005018259,0.5927683,0.0002125065,0.0003620581,0.001872216,0.0005243846,0.2418895,0.110935,0.007761984,0.0009848427,0.03947944],"study_design_scores_gemma":[0.0002063357,0.0006790208,0.3823527,0.00002929668,0.0001920839,0.001132042,0.0002647059,0.5867605,0.02352142,0.003454707,0.001331949,0.00007521368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980314,0.00006054907,0.001297135,0.00001165802,0.000003460258,0.000007228873,0.00008263205,0.00004150427,0.0004643767],"genre_scores_gemma":[0.999119,0.00003246907,0.0004646234,0.000005062155,0.000003520972,0.000006279512,0.0001861501,0.00001099992,0.0001718618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001735191,"threshold_uncertainty_score":0.003799796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455703089680902,"score_gpt":0.3201798010977532,"score_spread":0.2956227702009442,"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."}}