{"id":"W1837055870","doi":"10.48550/arxiv.0906.0075","title":"Monte Carlo tuning and generator validation","year":2009,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Monte Carlo method; Generator (circuit theory); Computer science; Statistical physics; Reliability engineering; Physics; Mathematics; Engineering; Statistics; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008643495,0.0008577234,0.0007758355,0.001128219,0.0008023172,0.001368719,0.002091407,0.001096748,0.008878184],"category_scores_gemma":[0.03321261,0.0004896445,0.0005837949,0.001217828,0.0007178635,0.0009782345,0.001300896,0.001993836,0.001473551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049433,"about_ca_system_score_gemma":0.001478069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773846,"about_ca_topic_score_gemma":0.002447835,"domain_scores_codex":[0.9947901,0.002790561,0.0002441722,0.0004399822,0.001259188,0.0004760569],"domain_scores_gemma":[0.9815769,0.01068,0.0004833596,0.004517348,0.002471863,0.0002704841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001058668,0.0003613035,0.008611509,0.0002578247,0.0001797268,0.000258556,0.0002294838,0.840566,0.007436587,0.05364937,0.009751814,0.07763909],"study_design_scores_gemma":[0.0002065122,0.0001132763,0.001119881,0.00003233835,0.00002415951,0.00009282412,0.00003568043,0.9597047,0.0110265,0.02059088,0.007019079,0.00003414695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2194732,0.0004438488,0.7436037,0.0004617978,0.0003139137,0.00107744,0.002981092,0.00857514,0.02306985],"genre_scores_gemma":[0.7360151,0.0001058718,0.2535654,0.000269546,0.00006014104,0.00109916,0.003248117,0.002323429,0.003313211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008878184,"threshold_uncertainty_score":0.0457117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441296863063008,"score_gpt":0.2560781264355483,"score_spread":0.2116651578049183,"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."}}