{"id":"W4327525862","doi":"10.1093/mnras/stad1375","title":"SKA Science Data Challenge 2: analysis and results","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"H2020 European Research Council; European Social Fund; Center for Advanced Study, University of Illinois at Urbana-Champaign; National Astronomical Observatories, Chinese Academy of Sciences; National Key Research and Development Program of China; Science and Technology Facilities Council; Seventh Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Institut sur la Nutrition et les Aliments Fonctionnels; Fundação para a Ciência e a Tecnologia; Chinese Academy of Sciences; Grand Équipement National De Calcul Intensif; Ministry of Electronics and Information technology; European Commission; ASTRON; Ministerio de Ciencia e Innovación; China Scholarship Council; European Regional Development Fund; Indian Institute of Technology Kharagpur; National Science Foundation; Indo-French Centre for the Promotion of Advanced Research; National Supercomputing Centre Singapore; Deutsche Forschungsgemeinschaft; Software Sustainability Institute; Vetenskapsrådet; National Natural Science Foundation of China; Department of Science and Technology, Ministry of Science and Technology, India; Agencia Estatal de Investigación; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Centro Svizzero di Calcolo Scientifico; Ministério da Ciência, Tecnologia e Ensino Superior","keywords":"Multidisciplinary approach; Data science; Cyberinfrastructure; Complementarity (molecular biology); Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006046296,0.0001338166,0.0002586204,0.00006249493,0.0003069782,0.00005386602,0.001266669,0.00004397094,0.00002275488],"category_scores_gemma":[0.00002325044,0.0001009784,0.0001971316,0.0009129213,0.0006083599,0.0001841128,0.001264947,0.0001807435,0.000008105449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002669346,"about_ca_system_score_gemma":0.00006541191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000640679,"about_ca_topic_score_gemma":0.00002894181,"domain_scores_codex":[0.9986306,0.00002347798,0.0003524724,0.0004840479,0.000170361,0.0003389964],"domain_scores_gemma":[0.9985458,0.00008916561,0.0002298164,0.001019749,0.00004163006,0.00007380571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001980826,0.0001460569,0.549244,0.000008767507,0.0009079824,5.218442e-8,0.0003426147,0.4239962,0.00002933603,0.001851263,0.001638422,0.02181556],"study_design_scores_gemma":[0.000257192,0.00001722481,0.4330874,0.000004290365,0.0001722249,5.948008e-10,0.0004774343,0.5645685,0.00013758,0.00006814252,0.001127983,0.00008210851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963201,0.0000226552,0.0002209737,0.001944559,0.00007793358,0.0001279753,0.0004583706,0.00004196572,0.0007854459],"genre_scores_gemma":[0.995481,1.466361e-7,0.00413526,0.000005963526,0.0000915062,0.000008206111,0.00009658302,0.000007874874,0.0001734313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405723,"threshold_uncertainty_score":0.4117779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194010108657277,"score_gpt":0.2479542670665993,"score_spread":0.2260141659800265,"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."}}