{"id":"W7005815389","doi":"","title":"Search for prompt production of Ïc and X(3872) in e+e- annihilations","year":2007,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SLAC National Accelerator Laboratory; Institut National de Physique Nucléaire et de Physique des Particules; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; European Commission; Alfred P. Sloan Foundation; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; Ministerio de Economía y Competitividad; National Science Foundation","keywords":"Production (economics); Detector; Momentum (technical analysis); Limit (mathematics); Electron–positron annihilation; SIGNAL (programming language)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724265,0.0000942746,0.00009258137,0.00009381755,0.00004368471,0.00006430264,0.00007134321,0.0001106116,0.00001149205],"category_scores_gemma":[0.00009719252,0.00008930523,0.00004349403,0.0001519274,0.0000589964,0.00006782725,0.00005786834,0.00009456062,0.000007177785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005029165,"about_ca_system_score_gemma":0.00002978091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001088401,"about_ca_topic_score_gemma":0.000003204435,"domain_scores_codex":[0.9992761,0.00001352081,0.0002019054,0.0002478626,0.00008378905,0.0001768336],"domain_scores_gemma":[0.9996921,0.0000150495,0.00004452958,0.0001495623,0.00003593782,0.00006278375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001127231,0.0001867301,0.6940186,0.0001671566,0.00004513334,0.000002528933,0.00006181892,0.00002901071,0.2606989,0.001241062,0.002203204,0.04021864],"study_design_scores_gemma":[0.0009100583,0.0005151646,0.2029653,0.0000456636,0.00001335127,0.00002218129,0.0001043316,0.00003282079,0.5845072,0.002612499,0.2079526,0.0003188622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965415,0.0001399498,0.0005371344,0.0002238261,0.00008239489,0.00030942,0.0001873481,0.00001663241,0.001961793],"genre_scores_gemma":[0.9976151,0.00001183684,0.001160779,0.00006158685,0.0001706135,0.000006498368,0.0004999812,0.00002460749,0.0004490108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4910533,"threshold_uncertainty_score":0.3641762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086623157525513,"score_gpt":0.2305035964616104,"score_spread":0.2196373648863553,"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."}}