{"id":"W4301280249","doi":"10.48550/arxiv.1306.6329","title":"The International Linear Collider Technical Design Report - Volume 4: Detectors","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"International Linear Collider; Collider; Physics; Luminosity; Higgs boson; Detector; Nuclear physics; Linear particle accelerator; Particle physics; Factory (object-oriented programming); Beam (structure); Computer science; Optics; Astronomy","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":[0.0002937261,0.0002183283,0.0001745446,0.00005969212,0.0002512079,0.0001127437,0.0007645197,0.0001185757,0.0005405209],"category_scores_gemma":[0.0000189514,0.0001914914,0.0001496633,0.0001640082,0.0001142935,0.0001428759,0.0006040482,0.0004750006,0.0003952086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141257,"about_ca_system_score_gemma":0.0001986253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323714,"about_ca_topic_score_gemma":0.000008591989,"domain_scores_codex":[0.9988604,0.00004957028,0.0002394934,0.0004673334,0.0001009487,0.0002823063],"domain_scores_gemma":[0.9988847,0.00009763567,0.0002409435,0.0005227881,0.0001528402,0.0001010958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002515284,0.000228639,0.7811083,0.00002660279,0.001037759,0.0003498155,0.0001972938,0.1785566,0.001464083,0.01313968,0.02014266,0.003497087],"study_design_scores_gemma":[0.001108985,0.00006924653,0.06269731,0.0001052578,0.0002035772,0.0000163797,0.0001657518,0.8322236,0.009733117,0.02595389,0.06628226,0.001440661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361606,0.00001232204,0.05818591,0.00009746372,0.0008771048,0.0003636157,0.00001234653,0.0000896172,0.004201082],"genre_scores_gemma":[0.9899332,0.0000196157,0.00080659,0.0000138636,0.000223127,0.000008565563,0.00003260549,0.0000184394,0.008944001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7184109,"threshold_uncertainty_score":0.7808794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156186270124642,"score_gpt":0.198204844645798,"score_spread":0.1366429819445516,"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."}}