{"id":"W2580073214","doi":"10.1103/physrevlett.118.161101","title":"Black Hole Spectroscopy with Coherent Mode Stacking","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; Canadian Institute for Advanced Research","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Government of Canada; Simons Foundation; Japan Society for the Promotion of Science; National Aeronautics and Space Administration; Institut Périmètre de physique théorique; Innovation, Science and Economic Development Canada","keywords":"Physics; Gravitational wave; LIGO; Superposition principle; Mode (computer interface); SIGNAL (programming language); Waveform; Event (particle physics); Black hole (networking); Computational physics; Binary number; Stacking; A priori and a posteriori; Astrophysics; Computer science; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001200674,0.0004865913,0.0002440559,0.0008890782,0.00026876,0.0007108353,0.0006785447,0.0006454708,0.0008785797],"category_scores_gemma":[0.001912767,0.00040415,0.0003746233,0.001073352,0.0006148664,0.001058577,0.001365371,0.0005032502,0.0001840692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540874,"about_ca_system_score_gemma":0.0002541717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003743562,"about_ca_topic_score_gemma":0.000956585,"domain_scores_codex":[0.9994274,0.0002231039,0.00001569571,0.0001008848,0.0001804094,0.00005249081],"domain_scores_gemma":[0.9991014,0.0002974437,0.0002426086,0.0002342557,0.00007284791,0.00005142496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001164115,0.000639522,0.05293479,0.0002428149,0.0004984119,0.0005495654,0.0005194195,0.1060085,0.5786059,0.0317116,0.001633308,0.225492],"study_design_scores_gemma":[0.0001930481,0.0007747588,0.03323393,0.00003362143,0.000120838,0.0006025461,0.00009826019,0.7629842,0.1731177,0.02626711,0.002427194,0.000146753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7223973,0.0005233018,0.2696088,0.0002028089,0.00004019956,0.0001242075,0.0001894925,0.0007198894,0.006193823],"genre_scores_gemma":[0.851066,0.0001368619,0.1479413,0.00005652789,0.00002673695,0.00006619017,0.0001112017,0.00004080616,0.000554315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001200674,"threshold_uncertainty_score":0.006349862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360755622713098,"score_gpt":0.3907166260489495,"score_spread":0.3671090698218186,"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."}}