{"id":"W4409820307","doi":"10.1051/0004-6361/202452837","title":"Quantifying jet–interstellar medium interactions in Cyg X-1: Insights from dual-frequency bow shock detection with MeerKAT","year":2025,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ASTRON; University of Cape Town; Institut sur la Nutrition et les Aliments Fonctionnels; Universiteit Stellenbosch; HORIZON EUROPE Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of the Western Cape; Royal Astronomical Society; University of Pretoria; University of Warwick; European Commission; Cape Peninsula University of Technology","keywords":"Physics; Astrophysics; Interstellar medium; Bow shock (aerodynamics); Jet (fluid); Shock (circulatory); Shock wave; Astronomy; Dual (grammatical number); Galaxy; Mechanics; Medicine","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":[0.0005481398,0.0002766473,0.0002091444,0.001752363,0.0002540769,0.0007623353,0.0003705136,0.0003649364,0.001298975],"category_scores_gemma":[0.0008232947,0.0001775018,0.0002803571,0.0006621302,0.0002306129,0.0005448394,0.0006423328,0.000431599,0.0003037002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004279257,"about_ca_system_score_gemma":0.0001879925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002754828,"about_ca_topic_score_gemma":0.006527662,"domain_scores_codex":[0.9998404,0.00001486487,0.000006036856,0.0000617785,0.00003542448,0.00004148934],"domain_scores_gemma":[0.9995552,0.00009357874,0.0001795503,0.00004957002,0.00003529488,0.00008681766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005851151,0.0001515578,0.8167812,0.0001244127,0.0001975311,0.0003994321,0.0004305026,0.01199688,0.1249506,0.001074845,0.001197338,0.04211074],"study_design_scores_gemma":[0.00001989338,0.00009240368,0.9443716,0.00001461563,0.00009938563,0.0002913886,0.0001558663,0.04230756,0.0110573,0.0004883188,0.001078155,0.00002332206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941425,0.00017473,0.003597825,0.00006536031,0.000009168898,0.00001486528,0.0005199205,0.0001835526,0.001292137],"genre_scores_gemma":[0.9914574,0.00007128236,0.007382292,0.00003785637,0.00001343403,0.00001312405,0.0005719427,0.00003399636,0.0004186378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002754828,"threshold_uncertainty_score":0.005477548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422999127139074,"score_gpt":0.2350350067548457,"score_spread":0.220805015483455,"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."}}