{"id":"W4364382606","doi":"10.1093/mnras/stad1021","title":"Radio galaxy zoo EMU: towards a semantic radio galaxy morphology taxonomy","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Lawrence Berkeley National Laboratory; Fermilab; Natural Sciences and Engineering Research Council of Canada; Integrated Electronics Engineering Center, Binghamton University; University of Illinois at Urbana-Champaign; Financiadora de Estudos e Projetos; Deutsche Forschungsgemeinschaft; Science and Technology Facilities Council; University College London; National Science Foundation; European Space Agency; Bundesministerium für Bildung und Forschung; University of Edinburgh; Alan Turing Institute; Carl-Zeiss-Stiftung; Ohio State University; University of Cambridge; Commonwealth Scientific and Industrial Research Organisation; Argonne National Laboratory; U.S. Department of Energy; University of Chicago","keywords":"Terminology; Taxonomy (biology); Radio galaxy; Physics; Galaxy; Set (abstract data type); Astronomy; Astrophysics; Feature (linguistics); Computer science; Linguistics; Biology; Ecology","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":[0.0003033544,0.0002683164,0.0004060705,0.00002623814,0.0001600845,0.00003441495,0.000715024,0.0002487451,0.00009157412],"category_scores_gemma":[0.00006907152,0.0002033092,0.0009330458,0.0002108338,0.0004071848,0.00001034745,0.0004806172,0.0002292167,0.00006377229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006114642,"about_ca_system_score_gemma":0.0001056057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005567336,"about_ca_topic_score_gemma":0.00004321347,"domain_scores_codex":[0.9982721,0.00009810636,0.0004044095,0.0005131798,0.0001956254,0.0005166064],"domain_scores_gemma":[0.9989377,0.00003581535,0.0002347377,0.0005983281,0.00005775412,0.0001357228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002243912,0.0002173308,0.1172179,0.000104395,0.001346686,0.000003883189,0.000258018,0.7954248,0.03765808,0.00002693396,0.04396484,0.003552777],"study_design_scores_gemma":[0.002143611,0.0006261228,0.5852001,0.00006307869,0.0006571207,7.056447e-7,0.0009708605,0.305932,0.07532134,0.00007890505,0.02795613,0.00105008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975824,0.0003087003,0.0001446339,0.001002049,0.0002347672,0.000245743,0.00005518558,0.0000328532,0.0003936043],"genre_scores_gemma":[0.9958614,0.000004567833,0.001811514,0.00009923624,0.000345479,0.0000511846,0.0001100264,0.00002797181,0.001688665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4894928,"threshold_uncertainty_score":0.8290707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172256953581889,"score_gpt":0.2161885246042461,"score_spread":0.2044659550684272,"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."}}