{"id":"W1963995059","doi":"10.1016/j.nuclphysbps.2011.10.011","title":"Calibrating the Heavy Water Cherenkov Detector in Phase III of the SNO Experiment","year":2011,"lang":"en","type":"article","venue":"Nuclear Physics B - Proceedings Supplements","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Carleton University","funders":"","keywords":"Physics; Cherenkov radiation; Cherenkov detector; Detector; Nuclear physics; Phase (matter); Calibration; Particle physics; Optics; Quantum mechanics","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":[0.003057864,0.0007952417,0.0008618918,0.0008310482,0.001250757,0.001653946,0.001052871,0.001463715,0.001782624],"category_scores_gemma":[0.002269325,0.0005727679,0.0005964694,0.0009481414,0.000691082,0.000833463,0.001587976,0.001193246,0.001419079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124091,"about_ca_system_score_gemma":0.001726983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004475079,"about_ca_topic_score_gemma":0.0102786,"domain_scores_codex":[0.9983955,0.0003410517,0.00004498695,0.0004605985,0.000500458,0.0002573183],"domain_scores_gemma":[0.9989256,0.0002095251,0.0001730767,0.0002450748,0.0003015976,0.0001450829],"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":[0.007594467,0.0008748875,0.2216163,0.000341643,0.0006081575,0.0005414877,0.001165574,0.02650388,0.6101611,0.01476454,0.009296642,0.1065313],"study_design_scores_gemma":[0.001402398,0.002184453,0.1482472,0.000153264,0.0005433817,0.0007891415,0.0006509296,0.1155718,0.6579031,0.008535409,0.06376095,0.0002579349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675096,0.0004644239,0.09856234,0.000616158,0.0002751171,0.0004070385,0.002292782,0.00296469,0.02690777],"genre_scores_gemma":[0.9583414,0.00009057813,0.03564904,0.0003736293,0.00002135017,0.0001168277,0.001574533,0.0007441242,0.003088621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004475079,"threshold_uncertainty_score":0.01617175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661437586150815,"score_gpt":0.2529919459948582,"score_spread":0.2263775701333501,"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."}}