{"id":"W1676605438","doi":"10.48550/arxiv.0712.1941","title":"Multiple Scattering, Underlying Event, and Minimum Bias","year":2007,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Unitarity; Event (particle physics); Cascade; Physics; Scattering; Pomeron; Statistical physics; Relation (database); Field (mathematics); Diffraction; Particle physics; Computer science; Theoretical physics; Algorithm; Mathematics; Optics; Data mining; Quantum mechanics; Engineering; Pure mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146685,0.00009126297,0.00008927732,0.00005621431,0.0001774493,0.00009014328,0.0001075189,0.00001766211,0.0002722532],"category_scores_gemma":[0.00003556138,0.00008003658,0.00004676883,0.0001211082,0.0001158367,0.0001993212,0.00009224397,0.00008248527,0.0001272842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009687194,"about_ca_system_score_gemma":0.00002696942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002702828,"about_ca_topic_score_gemma":0.00004609103,"domain_scores_codex":[0.9991326,0.00001568383,0.0001409147,0.0002253859,0.0001422525,0.0003431482],"domain_scores_gemma":[0.9994752,0.0001291736,0.00004127808,0.0001861926,0.00002617729,0.0001419316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001249984,0.00003254523,0.9818034,0.000005190893,0.00001496978,0.000002467967,0.000193321,0.000002267976,0.01271986,0.0003483766,0.0006654945,0.004199569],"study_design_scores_gemma":[0.0004760466,0.00003104735,0.9712414,0.00002369392,0.000005398113,8.614225e-7,0.00177784,0.00010868,0.01954208,0.0006637494,0.005980182,0.0001490483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901333,0.00005808599,0.003715242,0.0001110264,0.0001580136,0.00009301281,0.000009248927,0.00001902703,0.005703003],"genre_scores_gemma":[0.9974813,0.00000178618,0.0001095196,0.00004262428,0.0001247263,0.000005347121,0.0000163639,0.000009291504,0.002209028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056206,"threshold_uncertainty_score":0.3263797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140114535145312,"score_gpt":0.3417545382982836,"score_spread":0.2277430847837524,"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."}}