{"id":"W4386977199","doi":"10.48550/arxiv.2309.11522","title":"Modeling Current and Future High-Cadence Surveys of Repeating FRB Populations","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West Virginia Space Grant Consortium; National Aeronautics and Space Administration; West Virginia University; National Science Foundation","keywords":"Poisson distribution; Redshift; Physics; Cadence; Population; Repeater (horology); Estimator; Astrophysics; Sample (material); Pipeline (software); Monte Carlo method; Sky; Statistical physics; Statistics; Computer science; Mathematics; Artificial intelligence; Acoustics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001663592,0.0003867314,0.0003984265,0.0007637936,0.0006119084,0.001084678,0.001757053,0.001157888,0.001447323],"category_scores_gemma":[0.00532881,0.0005924722,0.0006752978,0.0009839418,0.0009415819,0.001576723,0.0006229628,0.0006890975,0.0003412871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831714,"about_ca_system_score_gemma":0.001040092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07966106,"about_ca_topic_score_gemma":0.05655923,"domain_scores_codex":[0.9995989,0.00009413216,0.00001242266,0.0001747893,0.00004604413,0.00007381587],"domain_scores_gemma":[0.9979018,0.0009620996,0.0004387791,0.0002191903,0.0002247625,0.0002534276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001219907,0.00009414701,0.199603,0.00004335223,0.00009032744,0.0001975512,0.0003362271,0.7813643,0.001538483,0.009961206,0.001242003,0.005407475],"study_design_scores_gemma":[0.00004377625,0.00005506903,0.04092963,0.00001043329,0.00003184253,0.00009657269,0.0001127766,0.9526754,0.0004548281,0.004709803,0.0008490814,0.00003064469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798532,0.0001007548,0.01679508,0.0002833926,0.000007571655,0.00006201812,0.001114203,0.000218414,0.001565371],"genre_scores_gemma":[0.9880233,0.0001301638,0.009070423,0.0000924567,0.000008845317,0.00008269511,0.001486919,0.00005500477,0.001050236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07966106,"threshold_uncertainty_score":0.1583948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491621790757333,"score_gpt":0.2918007418377302,"score_spread":0.1426385627619969,"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."}}