{"id":"W4364379132","doi":"10.48550/arxiv.2304.03826","title":"Rotation in Event Horizon Telescope Movies","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"History and Developments in Astronomy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; Argonne National Laboratory; Office of Science; University of Illinois at Urbana-Champaign; National Science Foundation; Government of Canada; U.S. Department of Energy; Ministero dello Sviluppo Economico; Institut Périmètre de physique théorique; Innovation, Science and Economic Development Canada","keywords":"Rotation (mathematics); Astronomy; Horizon; Event (particle physics); Event horizon; Telescope; Rotation period; Physics; Geodesy; Astrophysics; Geology; Computer science; Artificial intelligence; Stars","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":[0.0003174625,0.0001724538,0.0001409143,0.0005679457,0.0002032465,0.0005421746,0.0002627115,0.000274366,0.003007787],"category_scores_gemma":[0.00178029,0.0002007529,0.000204069,0.0005813212,0.0001570851,0.0004221804,0.0002347291,0.0003325789,0.0006327213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003723887,"about_ca_system_score_gemma":0.0001832019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00449905,"about_ca_topic_score_gemma":0.006056023,"domain_scores_codex":[0.9998677,0.00002058836,0.000005559973,0.00003701236,0.00004731123,0.00002178394],"domain_scores_gemma":[0.9994133,0.0001517102,0.00009368511,0.0001377969,0.0001295845,0.00007402159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002321777,0.0003008091,0.1646284,0.0006243463,0.0003248817,0.001226554,0.001794163,0.1383051,0.2713051,0.04363489,0.1029626,0.2725715],"study_design_scores_gemma":[0.0001151521,0.0002136695,0.3423458,0.00009604543,0.00005746128,0.0007891186,0.0003416139,0.5248392,0.04841848,0.01181358,0.07086017,0.0001097418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8208134,0.0004779568,0.1097129,0.0007023765,0.0002494656,0.0001615079,0.02872742,0.006545667,0.03260918],"genre_scores_gemma":[0.9312916,0.0001694615,0.05465313,0.00007893576,0.00006321332,0.00003061055,0.009989103,0.0005900178,0.0031339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00449905,"threshold_uncertainty_score":0.0100621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05404404751671363,"score_gpt":0.1960082861354684,"score_spread":0.1419642386187548,"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."}}