{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03943199,0.003428765,0.002601107,0.003640282,0.003306446,0.007081409,0.004765081,0.005431745,0.007863356],"category_scores_gemma":[0.100398,0.0008746414,0.0043835,0.003587579,0.002493657,0.004340102,0.009208548,0.005455705,0.01337088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003932063,"about_ca_system_score_gemma":0.008165725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159309,"about_ca_topic_score_gemma":0.01928638,"domain_scores_codex":[0.949056,0.01694457,0.002628793,0.007725252,0.02091554,0.002729897],"domain_scores_gemma":[0.9197936,0.03003331,0.002210392,0.01719211,0.02559449,0.005176099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003056736,0.002382679,0.03226284,0.002526476,0.001425379,0.0005328658,0.0007038597,0.03415195,0.005537153,0.006336483,0.8495843,0.06149922],"study_design_scores_gemma":[0.002470857,0.002077647,0.05789251,0.0006558893,0.0006237459,0.0009764814,0.002721835,0.2329647,0.02547175,0.02891804,0.6446604,0.0005661728],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2688933,0.008033145,0.06928235,0.03566028,0.006831999,0.006164826,0.5316644,0.02835766,0.04511206],"genre_scores_gemma":[0.1860311,0.0007029096,0.08506793,0.004528887,0.001051427,0.004238709,0.7026463,0.00383124,0.01190148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03943199,"threshold_uncertainty_score":0.2085388,"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."}}