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Department of Science and Technology, Ministry of Science and Technology, India; Institut National de Physique Nucléaire et de Physique des Particules; University of Petroleum and Energy Studies; Instituto Nazionale di Fisica Nucleare; United States-Israel Binational Science Foundation; Thailand Center of Excellence in Physics; Helmholtz-Gemeinschaft; Istituto Nazionale di Fisica Nucleare Sezione di Padova; Natural Science Foundation of Shandong Province; Compute Canada; University of Tabuk; Vietnam Academy of Science and Technology; Agencia Estatal de Investigación; Secretaría de Educación Pública; Ministry of Education and Science; Canarie; Ikerbasque, Basque Foundation for Science; National Science and Technology Council; National Science Foundation; University of Victoria; Ministerio de Ciencia e Innovación; European Commission; U.S. Department of Energy","keywords":"Computer science","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":[0.002450617,0.00086084,0.0004954077,0.001853807,0.001232393,0.002028852,0.001603334,0.00169079,0.02347008],"category_scores_gemma":[0.002970751,0.0007439024,0.0005764944,0.001285551,0.0007231737,0.002166962,0.001228403,0.0022044,0.002918954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640434,"about_ca_system_score_gemma":0.0008886348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003742022,"about_ca_topic_score_gemma":0.006184599,"domain_scores_codex":[0.9984341,0.0001940855,0.00004221737,0.0003981111,0.0005189838,0.0004125119],"domain_scores_gemma":[0.9980198,0.0004177821,0.0004104453,0.000232787,0.0005710878,0.0003481119],"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":[0.005322011,0.001641684,0.06388974,0.0007388158,0.0006765384,0.001568048,0.00238607,0.005066998,0.7451622,0.07568548,0.03082005,0.0670424],"study_design_scores_gemma":[0.0007737966,0.002371367,0.1612338,0.000287835,0.0004175138,0.001601374,0.001275627,0.04766498,0.7331269,0.01089827,0.03980721,0.0005413376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500754,0.001352971,0.03257765,0.002445776,0.0005640355,0.0001823019,0.006925122,0.003370396,0.1025063],"genre_scores_gemma":[0.9707333,0.0003893086,0.006692299,0.0006146407,0.00007339801,0.0001193748,0.002893373,0.0005259382,0.01795847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347008,"threshold_uncertainty_score":0.07851523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618091361884397,"score_gpt":0.2906307564082457,"score_spread":0.2744498427894018,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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