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Austrian Science Fund; Ministerstvo Školství, Mládeže a Tělovýchovy; 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; 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":"Physics; Algorithm; Analytical Chemistry (journal); Materials science; Chemistry; 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":[0.0004384789,0.0001739846,0.0001678402,0.000008862055,0.0006994083,0.000124159,0.0002704029,0.000006066153,0.000006706853],"category_scores_gemma":[0.000005636023,0.00006394118,0.0001472264,0.000184303,0.0004878429,0.00007518572,0.0002729533,0.0003271718,0.00001798482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005043579,"about_ca_system_score_gemma":0.00002570846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000121431,"about_ca_topic_score_gemma":2.055731e-7,"domain_scores_codex":[0.9986158,0.0003916738,0.000167752,0.0001577238,0.0004329226,0.0002340995],"domain_scores_gemma":[0.9994837,0.00008332284,0.00009745036,0.0001933906,0.0000655667,0.00007654136],"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":[0.0001130123,0.0001423467,0.001512574,0.00003091693,0.0003086329,0.000004182605,0.001522028,0.000196629,0.9849617,0.004698884,0.0002091643,0.006299943],"study_design_scores_gemma":[0.0003149852,0.0001596597,0.0003413813,0.0002588598,0.0001601987,0.00001037682,0.0004297801,0.001094736,0.9755938,0.02071739,0.0007739313,0.0001448977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913522,0.0002810039,0.0005292534,0.0008466477,0.00006427385,0.0005423324,0.000008668455,0.00001272614,0.006362871],"genre_scores_gemma":[0.9992278,0.000004284472,0.00002570821,0.000006099794,0.0006563179,0.00002297544,1.770614e-7,0.0000282069,0.00002839045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01601851,"threshold_uncertainty_score":0.5379354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369307297877418,"score_gpt":0.2615772881725328,"score_spread":0.2378842151937586,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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