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Natural Sciences and Engineering Research Council of Canada; Narodowa Agencja Wymiany Akademickiej; Centre National pour la Recherche Scientifique et Technique; Centre National de la Recherche Scientifique; Israel Science Foundation; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat Valenciana; Austrian Science Fund; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; H2020 Marie Skłodowska-Curie Actions; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Education, Culture, Sports, Science and Technology; Agence Nationale de la Recherche; National Science Foundation; Alexander von Humboldt-Stiftung; TRIUMF; Compute Canada; Max-Planck-Gesellschaft; Royal Society; Danmarks Grundforskningsfond; British Columbia Knowledge Development Fund; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Agencia Nacional de Investigación y Desarrollo; Generalitat de Catalunya; Canarie; Deutsche Forschungsgemeinschaft; Centres de Recerca de Catalunya; CERN; Leverhulme Trust; Ministerio de Ciencia e Innovación; European Commission","keywords":"Algorithm; Physics; Database; 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":[0.0008880407,0.0004313012,0.0005983688,0.00007555543,0.0005757244,0.00014996,0.0004774355,0.00001866061,0.000006779145],"category_scores_gemma":[0.00001671227,0.0002284488,0.0002000842,0.0008023134,0.0006317836,0.0002257781,0.0002461613,0.0006823645,0.00003428816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007824013,"about_ca_system_score_gemma":0.0001143182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002143692,"about_ca_topic_score_gemma":0.00002491569,"domain_scores_codex":[0.9970563,0.0008017631,0.0004722601,0.000389332,0.000476499,0.0008038667],"domain_scores_gemma":[0.9983764,0.0007319806,0.0002472809,0.0002756186,0.00006948196,0.0002992732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01134158,0.007002824,0.01666114,0.0004039991,0.003603672,0.0002317278,0.1052028,0.02505581,0.5540429,0.05880024,0.004087661,0.2135657],"study_design_scores_gemma":[0.05689292,0.01079698,0.03428356,0.006426607,0.001971065,0.0000739336,0.08543362,0.02931343,0.3201805,0.4454669,0.004814155,0.004346315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931428,0.0003843809,0.0007997589,0.003067136,0.00005624658,0.0006851527,0.00007404498,0.00001721685,0.001773256],"genre_scores_gemma":[0.9986507,0.00008159238,0.00006888712,0.00001288221,0.000923943,0.00002400133,0.000007881119,0.00007889311,0.0001512059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3866666,"threshold_uncertainty_score":0.931587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896041724607613,"score_gpt":0.2818574767698347,"score_spread":0.2528970595237586,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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