{"id":"W4415516724","doi":"10.22323/1.483.0084","title":"Recent results from GlueX","year":2025,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Nuclear Physics; Natural Sciences and Engineering Research Council of Canada; GSI Helmholtzzentrum für Schwerionenforschung; China Scholarship Council; Office of Science; Russian Foundation for Basic Research; National Natural Science Foundation of China; National Energy Research Scientific Computing Center; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; National Science Foundation","keywords":"Meson; Particle identification; Hadron; Range (aeronautics); Detector; Baryon","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":[0.01011782,0.00169342,0.001044308,0.006223622,0.001110416,0.005304951,0.001303596,0.0009802567,0.008683453],"category_scores_gemma":[0.0240314,0.0008409687,0.001272261,0.008879635,0.001676732,0.005057025,0.004948751,0.001788495,0.004313694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002948353,"about_ca_system_score_gemma":0.002493762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140207,"about_ca_topic_score_gemma":0.009431704,"domain_scores_codex":[0.9910816,0.001784744,0.0006746446,0.001283055,0.004309064,0.0008669856],"domain_scores_gemma":[0.9727381,0.009638867,0.001583954,0.004636677,0.008999647,0.002402638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003209701,0.0003980297,0.04263063,0.00459684,0.0009483962,0.001282488,0.001960665,0.01360202,0.009483094,0.05212522,0.2132636,0.6564994],"study_design_scores_gemma":[0.0001142588,0.0005581579,0.04798805,0.001564454,0.0005519357,0.001038148,0.001128208,0.006460451,0.0237424,0.02189016,0.8947373,0.0002263887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2837594,0.1846209,0.07057225,0.02800598,0.003298394,0.0007820302,0.1050508,0.006754721,0.3171554],"genre_scores_gemma":[0.4877542,0.1437777,0.1533972,0.00560828,0.003660678,0.0007602963,0.1685624,0.004229491,0.03224962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01140207,"threshold_uncertainty_score":0.05350876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1835216800435651,"score_gpt":0.4227465756766076,"score_spread":0.2392248956330424,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}