{"id":"W2952360299","doi":"10.1103/physrevd.99.044002","title":"Probing microstructure of black hole spacetimes with gravitational wave echoes","year":2019,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Physics; Black hole (networking); Gravitational wave; LIGO; Dispersion relation; Horizon; Astrophysics; Quantum electrodynamics; Quantum mechanics; Astronomy","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":[0.00029973,0.0002259655,0.0001806245,0.0008608436,0.0002270566,0.0005391922,0.0002323211,0.0003635357,0.001568592],"category_scores_gemma":[0.0008483423,0.0001553477,0.000166136,0.0004347264,0.0007274142,0.0007691291,0.0005823849,0.0005281307,0.000205711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002753012,"about_ca_system_score_gemma":0.0001222571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003518404,"about_ca_topic_score_gemma":0.0005326188,"domain_scores_codex":[0.9999391,0.00001585341,0.000001868297,0.00001571121,0.00001475464,0.00001271212],"domain_scores_gemma":[0.9996209,0.00007896482,0.0001663295,0.00004871158,0.00004486777,0.00004012986],"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":[0.000586585,0.0001749691,0.07390416,0.001267423,0.0003059975,0.001430598,0.001662988,0.006623854,0.6205197,0.1467453,0.004890069,0.1418883],"study_design_scores_gemma":[0.0001088163,0.000996615,0.5306245,0.0003337476,0.0002671328,0.00367089,0.002010473,0.03314448,0.172108,0.1950977,0.06138359,0.0002540438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496821,0.01169642,0.02307047,0.0005358679,0.0001178554,0.00003847328,0.0004403667,0.0001502282,0.01426832],"genre_scores_gemma":[0.986149,0.00461646,0.007250061,0.0001003554,0.00006573128,0.00001608321,0.0001774822,0.00002181885,0.00160304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001568592,"threshold_uncertainty_score":0.005247414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00747776197146226,"score_gpt":0.3350750912265649,"score_spread":0.3275973292551027,"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."}}