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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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361397,0.0005379833,0.0003778661,0.00173263,0.0006339765,0.0008919665,0.0009075414,0.0006667617,0.002631653],"category_scores_gemma":[0.0008852409,0.0004533955,0.0005914391,0.001994046,0.000305344,0.0006777431,0.001073194,0.0005824313,0.001202271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006034574,"about_ca_system_score_gemma":0.0003556703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143154,"about_ca_topic_score_gemma":0.002737467,"domain_scores_codex":[0.9991688,0.0001413332,0.00005773861,0.0002050861,0.000341197,0.00008580838],"domain_scores_gemma":[0.9993937,0.0001198826,0.0001323874,0.0001342069,0.0001597616,0.00006013057],"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":[0.002901555,0.0003591966,0.1505105,0.0003527187,0.0006551745,0.001221114,0.0003896548,0.009026426,0.7761812,0.01436248,0.008470337,0.03556967],"study_design_scores_gemma":[0.000156148,0.0006435131,0.1896358,0.00003133504,0.000270816,0.001261112,0.0001407718,0.02554208,0.7657728,0.002443853,0.01387297,0.0002286127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328356,0.0007094205,0.04037886,0.0002300225,0.00009780022,0.00006281345,0.007831446,0.0009882287,0.01686574],"genre_scores_gemma":[0.9804781,0.0001678594,0.01277892,0.00008895925,0.00003255609,0.00005239359,0.004059996,0.0001088944,0.00223223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002631653,"threshold_uncertainty_score":0.008803785,"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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