{"id":"W2050026377","doi":"10.1016/s0168-9002(00)00443-5","title":"Monte-Carlo simulations of neutron shielding for the ATLAS forward region","year":2000,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Monte Carlo method; Electromagnetic shielding; Neutron; Atlas (anatomy); Physics; Extrapolation; Large Hadron Collider; Nuclear physics; Nuclear engineering; Engineering","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":[0.00136315,0.0001841059,0.0003262956,0.0003186504,0.0007124823,0.0001568567,0.0001950717,0.0001461768,0.00008518017],"category_scores_gemma":[0.0001831219,0.0001492541,0.00008492856,0.0007673046,0.0003167138,0.0002256904,0.0001271684,0.0003822313,0.000001238145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184746,"about_ca_system_score_gemma":0.00001957064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001696708,"about_ca_topic_score_gemma":0.00004286931,"domain_scores_codex":[0.9979429,0.0004011163,0.0003925993,0.000410505,0.0003584311,0.0004944347],"domain_scores_gemma":[0.9988633,0.0005870227,0.0001657639,0.0002166562,0.00009136394,0.00007594228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000291924,0.000310952,0.007710234,0.00005961736,0.0002524682,0.000001145855,0.002963543,0.000551338,0.7430914,0.0007782116,0.0001881968,0.243801],"study_design_scores_gemma":[0.01626009,0.008501546,0.2459276,0.0007073974,0.0005052991,0.00002474086,0.01985765,0.1829137,0.4536995,0.03517783,0.03365835,0.002766228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985052,0.0001063469,0.000126361,0.0001976738,0.000199894,0.0006767026,0.00002363392,0.00005690865,0.0001072805],"genre_scores_gemma":[0.9951079,0.0007598998,0.003904085,0.00003518754,0.00006016749,0.00005614296,0.00000149529,0.00003193823,0.0000431705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2893918,"threshold_uncertainty_score":0.6086404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06588115212349688,"score_gpt":0.3797486703186434,"score_spread":0.3138675181951465,"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."}}