{"id":"W2976949284","doi":"10.1051/0004-6361/201936749","title":"The transitional gap transient AT 2018hso: new insights into the luminous red nova phenomenon","year":2019,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Jet Propulsion Laboratory; National Aeronautics and Space Administration; China Scholarship Council; Liverpool John Moores University; Queen's University; University of Edinburgh; Horizon 2020 Framework Programme; Queen's University Belfast; California Institute of Technology; Science Foundation Ireland; UK Research and Innovation; Villum Fonden; National Science Foundation","keywords":"Physics; Nova (rocket); Astrophysics; Transient (computer programming); Phenomenon; Astronomy; Aerospace engineering","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":[0.0001854321,0.000152146,0.0002228768,0.001060406,0.0004776264,0.0006028785,0.0002396108,0.0003070541,0.001076759],"category_scores_gemma":[0.0002812068,0.00007548732,0.0001563177,0.0005026775,0.0005285136,0.0007473297,0.0006002036,0.0003911074,0.0001429669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003605146,"about_ca_system_score_gemma":0.0002016286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006703748,"about_ca_topic_score_gemma":0.001128583,"domain_scores_codex":[0.9999273,0.000003908516,0.000005032974,0.00002690564,0.0000182402,0.00001862821],"domain_scores_gemma":[0.9997696,0.0000208136,0.0000850457,0.00001899871,0.00002342661,0.00008194544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003716596,0.0001963946,0.8157019,0.0003313917,0.00007271612,0.004987483,0.00265266,0.0006202896,0.1035534,0.006266759,0.001606718,0.06363866],"study_design_scores_gemma":[0.000005756724,0.00008818806,0.9795606,0.00003765221,0.00002432387,0.002923243,0.001059837,0.0009875393,0.003143101,0.002315685,0.009840759,0.00001329443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932024,0.001069533,0.0009854786,0.0001609042,0.00003213147,0.00001131776,0.0002170974,0.000036284,0.004284999],"genre_scores_gemma":[0.9980889,0.0002981477,0.0006661388,0.00005200741,0.00006266535,0.000005278992,0.0003570664,0.000008113223,0.0004616212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001076759,"threshold_uncertainty_score":0.003602087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009223438957778904,"score_gpt":0.1998518072624677,"score_spread":0.1906283683046888,"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."}}