{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001671494,0.0002236191,0.0002428003,0.0001084924,0.00004500443,0.00001968473,0.000110713,0.0002590208,0.000007387919],"category_scores_gemma":[0.0000287471,0.0002408115,0.00004732235,0.00004964286,0.00002173572,0.00008649394,0.00007760186,0.000428076,0.000005745855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007114893,"about_ca_system_score_gemma":0.00001317858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007833932,"about_ca_topic_score_gemma":0.000005917127,"domain_scores_codex":[0.9992316,0.00002404048,0.0001938622,0.0002535032,0.00009642777,0.0002005497],"domain_scores_gemma":[0.9995585,0.00001122301,0.0000510123,0.0002719711,0.00004700732,0.00006028459],"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":[0.00002578754,0.00004596813,0.6023199,0.000452369,0.0003141753,0.00004140561,0.0005814597,0.06118428,0.2964349,0.0001457645,0.003731236,0.0347227],"study_design_scores_gemma":[0.001296328,0.0002287975,0.2927338,0.0007396285,0.0004716912,0.00001965846,0.00007876346,0.02574425,0.6364204,0.003196995,0.03645248,0.002617213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753201,0.002931762,0.01939129,0.00005074455,0.0003699576,0.0002007172,0.000004412849,0.0008002468,0.0009307492],"genre_scores_gemma":[0.9910203,0.001122765,0.007329002,0.00007539922,0.0002490007,0.00004466749,0.00001608868,0.00003836816,0.0001043717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3399854,"threshold_uncertainty_score":0.9820008,"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."}}