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Javna Agencija za Raziskovalno Dejavnost RS; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Section (typography); Cross section (physics); Mathematics; Combinatorics; Physics; Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006497976,0.001724521,0.0008625268,0.001794968,0.0006880885,0.001093778,0.00275996,0.001691102,0.01569619],"category_scores_gemma":[0.002126818,0.0004333592,0.001184955,0.002634534,0.0003438703,0.0007973061,0.001333251,0.001331998,0.01948909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374695,"about_ca_system_score_gemma":0.001311331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03217178,"about_ca_topic_score_gemma":0.0689634,"domain_scores_codex":[0.9995735,0.00005428205,0.00003679589,0.0001325775,0.0001266148,0.00007614744],"domain_scores_gemma":[0.999087,0.0002473018,0.0001351139,0.0001909619,0.0002447673,0.00009500334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003390187,0.0001339022,0.01415204,0.001329644,0.0002176393,0.0001397552,0.00005328238,0.00226386,0.0007526131,0.001601672,0.9731948,0.005821831],"study_design_scores_gemma":[0.001073841,0.00007564866,0.07491218,0.0004270961,0.0001870398,0.0002679577,0.0001941123,0.004392323,0.00259395,0.003991205,0.9118047,0.00008003177],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001793028,0.0001368538,0.0001051152,0.00009459797,0.00002275389,0.00001133067,0.9963811,0.0004627097,0.0009924473],"genre_scores_gemma":[0.002603457,0.00006993756,0.0003900532,0.00004297336,0.000008183374,0.00004239291,0.9962474,0.00004650806,0.0005491617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03217178,"threshold_uncertainty_score":0.06396908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980638791786586,"score_gpt":0.2559409003831661,"score_spread":0.2361345124653002,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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