{"id":"W7048920979","doi":"","title":"Measurement of the total width, the electronic width, and the mass of the Î¥(10580) resonance","year":2005,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Institute of High Energy Physics; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; SLAC National Accelerator Laboratory; Alexander von Humboldt-Stiftung; Alfred P. Sloan Foundation; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; National Science Foundation","keywords":"Resonance (particle physics); Detector; Measure (data warehouse); Linear particle accelerator; Collider","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":[0.000780848,0.0007568745,0.0005218203,0.002784462,0.0005142451,0.0006480396,0.000672564,0.0006671494,0.002807881],"category_scores_gemma":[0.001238114,0.0003988021,0.0004298499,0.002104374,0.0004347256,0.0006835597,0.0008661911,0.0006270401,0.00150399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548045,"about_ca_system_score_gemma":0.0002043617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102078,"about_ca_topic_score_gemma":0.001574989,"domain_scores_codex":[0.999478,0.00005991719,0.0000255041,0.0001937755,0.0001530826,0.00008972455],"domain_scores_gemma":[0.9986328,0.0002281248,0.0004666219,0.0002711794,0.0002225415,0.0001786391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002242466,0.0005634745,0.3839663,0.0005671713,0.0009570692,0.0007572405,0.0006206316,0.006103726,0.5017143,0.006532433,0.01806486,0.07791025],"study_design_scores_gemma":[0.0002318149,0.0006478333,0.7568662,0.00005775956,0.0004543094,0.00275148,0.0002981944,0.0162346,0.1849704,0.004006675,0.03322199,0.0002587676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590217,0.0004535295,0.007725354,0.000128723,0.00002476238,0.00003046179,0.01732375,0.0008793299,0.01441229],"genre_scores_gemma":[0.9632893,0.0002728076,0.006429299,0.0001005714,0.00005561622,0.00006749559,0.02834808,0.0001772067,0.001259761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002807881,"threshold_uncertainty_score":0.009393334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007353046152701953,"score_gpt":0.1935034487851878,"score_spread":0.1861504026324858,"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."}}