{"id":"W2034818342","doi":"10.1016/j.nima.2008.01.101","title":"Wavelength shifters for water Cherenkov detectors","year":2008,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Atomic Energy of Canada Limited","keywords":"Cherenkov radiation; Cherenkov detector; Photomultiplier; Detector; Optics; Physics; Wavelength; Silicon photomultiplier; Neutrino; Monte Carlo method; Ultraviolet; Photon; Optoelectronics; Nuclear physics; Scintillator","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001154448,0.0004037083,0.0005414357,0.0003388709,0.0009164449,0.0002147892,0.0002222522,0.0001204936,0.0001365755],"category_scores_gemma":[0.00002399341,0.0003432373,0.0001655117,0.0005406156,0.0002726787,0.0003607488,0.0002798911,0.0007584005,0.000004088638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004068429,"about_ca_system_score_gemma":0.00005966441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003459963,"about_ca_topic_score_gemma":0.00000615618,"domain_scores_codex":[0.9967154,0.00043076,0.0004910988,0.0007521684,0.0004806661,0.001129902],"domain_scores_gemma":[0.9990022,0.0001674453,0.0001450849,0.00025216,0.0001356812,0.0002974902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003512012,0.001045255,0.02410343,0.00007228548,0.0008775495,0.000005797009,0.006338365,0.00001577598,0.2834508,0.002771463,0.0002208442,0.6807472],"study_design_scores_gemma":[0.02643514,0.008415163,0.06117765,0.0004926816,0.0003151911,0.00001950666,0.01385816,0.02951845,0.6519421,0.1840741,0.01827575,0.005476143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956155,0.00001560072,0.002007217,0.00005836727,0.0003413607,0.0008030632,0.00003715245,0.00005134777,0.001070337],"genre_scores_gemma":[0.9914956,0.0000880798,0.007618071,0.00005099658,0.0003382521,0.0001854099,0.00002749094,0.00008239941,0.0001137146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6752711,"threshold_uncertainty_score":0.999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05663195659464646,"score_gpt":0.3541111222907092,"score_spread":0.2974791656960627,"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."}}