{"id":"W3123767473","doi":"10.1103/physrevd.103.103018","title":"Formation rate of extreme mass ratio inspirals in active galactic nuclei","year":2021,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Perimeter Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Innovation, Science and Economic Development Canada","keywords":"Physics; Astrophysics; Gravitational wave; Accretion (finance); Mass ratio; Black hole (networking); Active galactic nucleus; Astronomy; Galaxy","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":[0.0004473108,0.0003313289,0.0001758022,0.0004929237,0.0001979991,0.0004410681,0.0006339741,0.0004643912,0.0008645629],"category_scores_gemma":[0.00237734,0.0001778435,0.0004231117,0.000226567,0.0003106268,0.0006473739,0.0003837384,0.000301251,0.0002006069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004376603,"about_ca_system_score_gemma":0.000250857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317502,"about_ca_topic_score_gemma":0.001757086,"domain_scores_codex":[0.9998925,0.00002120824,0.00000654045,0.00002910957,0.00002160285,0.00002903117],"domain_scores_gemma":[0.9994282,0.0001893169,0.0002095222,0.00004133877,0.00006573896,0.00006579485],"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":[0.0002336888,0.0001141026,0.4680562,0.0001541219,0.0001340773,0.001454023,0.0002880585,0.476068,0.01088011,0.02035732,0.001424076,0.02083611],"study_design_scores_gemma":[0.00002886871,0.00006951094,0.05810972,0.00003237498,0.00004266485,0.0005867658,0.0001443446,0.9301018,0.0061165,0.003561821,0.001170122,0.00003560712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804671,0.0006082006,0.01271335,0.0001159282,0.00002268808,0.00001671277,0.0001955431,0.0001473635,0.005713101],"genre_scores_gemma":[0.9977555,0.0001257227,0.001371696,0.00001439406,0.000006198155,0.000006764074,0.0001423731,0.00001829548,0.0005590149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003317502,"threshold_uncertainty_score":0.006596386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322132889402111,"score_gpt":0.380432051136107,"score_spread":0.3482187621958959,"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."}}