{"id":"W4311170273","doi":"10.1088/1742-6596/2374/1/012035","title":"Mechanical design of water cherenkov test experiment (WCTE) at CERN","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Cherenkov radiation; Large Hadron Collider; Photomultiplier; Ultrapure water; Piping; Granularity; Detector; Cherenkov detector; Physics; Optics; Nuclear physics; Materials science; Mechanical engineering; Engineering; Computer science; Nanotechnology","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":[0.0009329253,0.00082664,0.0005056457,0.0008461859,0.0005924239,0.0005195388,0.001325842,0.0009284119,0.003966541],"category_scores_gemma":[0.0009156064,0.0003869376,0.000326199,0.0003456181,0.0005534795,0.0004876247,0.0006937608,0.0004049251,0.001349704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005188789,"about_ca_system_score_gemma":0.001054326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000562438,"about_ca_topic_score_gemma":0.000771919,"domain_scores_codex":[0.9987601,0.0001136413,0.00005381722,0.000180879,0.0007253273,0.0001662521],"domain_scores_gemma":[0.9991291,0.00008242991,0.0001597959,0.0001376451,0.0003538715,0.0001371463],"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":[0.001196492,0.000175711,0.007972954,0.0006302057,0.00003588159,0.0007153197,0.0002253781,0.01508121,0.8873518,0.004103685,0.004635499,0.07787585],"study_design_scores_gemma":[0.0006476453,0.01006371,0.04834327,0.0001056304,0.0001382783,0.001742988,0.0003784735,0.08171254,0.747739,0.001903918,0.1069985,0.0002261426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5748022,0.0005258907,0.3971409,0.0008520351,0.0003981037,0.00265865,0.001799888,0.003111587,0.01871073],"genre_scores_gemma":[0.8491973,0.0002012513,0.1361829,0.0002166851,0.00006729834,0.002215068,0.001117289,0.0002006328,0.01060168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003966541,"threshold_uncertainty_score":0.01326942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465155294928994,"score_gpt":0.2270604360453295,"score_spread":0.2024088830960395,"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."}}