{"id":"W3132903898","doi":"10.1093/mnras/stab468","title":"Dynamical model of an obscuring clumpy torus in AGNs – I. Velocity and velocity dispersion maps for interpretation of ALMA observations","year":2021,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Astronomical Observatories, Chinese Academy of Sciences; Institut sur la Nutrition et les Aliments Fonctionnels; Neurosciences Research Foundation; National Institutes of Natural Sciences; National Astronomical Observatory of Japan; Chinese Academy of Sciences; National Radio Astronomy Observatory; Istituto Nazionale di Astrofisica; National Natural Science Foundation of China; Volkswagen Foundation; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Physics; Torus; Astrophysics; Supermassive black hole; Velocity dispersion; Active galactic nucleus; Galaxy; Astronomy; Geometry","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":[0.0001747443,0.0002991365,0.000259358,0.0003739769,0.0005164401,0.0006077393,0.0007785859,0.0004459313,0.001708164],"category_scores_gemma":[0.0006901898,0.0002294726,0.0004968615,0.0001491094,0.0006133529,0.0006041699,0.0003584575,0.0003515086,0.0001668574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008796338,"about_ca_system_score_gemma":0.0002931399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004272,"about_ca_topic_score_gemma":0.003513032,"domain_scores_codex":[0.9999386,0.000020385,0.000002340974,0.00001245103,0.00001135941,0.00001485669],"domain_scores_gemma":[0.9997808,0.0000620311,0.00006029446,0.00002484591,0.0000223243,0.00004974879],"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":[0.00006083546,0.00003633046,0.01526478,0.00001362674,0.00002624828,0.0002836851,0.000130695,0.9672856,0.006950087,0.008568183,0.0002570268,0.001122929],"study_design_scores_gemma":[0.00001573901,0.00002963784,0.004553594,0.000003404906,0.000004920161,0.00005839463,0.0000345278,0.9928036,0.0003289898,0.001900803,0.0002585723,0.000007875648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96743,0.00007658921,0.02830119,0.0001381616,0.00001580708,0.00002339354,0.00016094,0.00009326912,0.003760544],"genre_scores_gemma":[0.9971821,0.00002739048,0.002168332,0.00001210035,0.000008204483,0.0000169324,0.00005739253,0.00001718053,0.0005105016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01004272,"threshold_uncertainty_score":0.01996857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185194159433607,"score_gpt":0.2136473108505198,"score_spread":0.2017953692561837,"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."}}