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Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; U.S. Department of Energy; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; National Science Foundation; Baden-Württemberg Stiftung; H2020 European Research Council; Norges Forskningsråd; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; CERN; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación","keywords":"Algorithm; Physics; 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":[0.001570921,0.0006165583,0.0007593275,0.001261196,0.001144731,0.003095709,0.0008662047,0.0005993013,0.004905808],"category_scores_gemma":[0.002446413,0.0007390886,0.0008034154,0.002366732,0.0007542511,0.0013231,0.001577048,0.0009025648,0.0005461528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611323,"about_ca_system_score_gemma":0.0002994824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002205095,"about_ca_topic_score_gemma":0.002351369,"domain_scores_codex":[0.9988412,0.00039969,0.00006416426,0.0001828004,0.0003154808,0.0001966359],"domain_scores_gemma":[0.9980976,0.0008157148,0.0002925782,0.0002342133,0.0003139534,0.0002459197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01979682,0.001432355,0.2651607,0.001110945,0.001109167,0.01930476,0.003756782,0.05454024,0.4094698,0.1728335,0.005588654,0.04589638],"study_design_scores_gemma":[0.00111914,0.003937043,0.3466271,0.0001337579,0.0007190615,0.007356939,0.001903539,0.2694998,0.3042691,0.05220487,0.0115983,0.0006313245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645063,0.0002621824,0.008016866,0.00009563233,0.00002191486,0.00003957721,0.0005062893,0.0001795796,0.0263716],"genre_scores_gemma":[0.997727,0.00006984519,0.0007543043,0.00002641586,0.00001395535,0.00001069214,0.0003532478,0.00005048591,0.0009940829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004905808,"threshold_uncertainty_score":0.0164116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340116949336169,"score_gpt":0.301776878154075,"score_spread":0.2683757086607133,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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