{"id":"W2005584577","doi":"10.1088/1742-6596/587/1/012031","title":"The LED and fiber based calibration system for the photomultiplier array of SNO+","year":2015,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Laurentian University","funders":"Science and Technology Facilities Council","keywords":"Photomultiplier; Optical fiber; Calibration; Optics; Materials science; Detector; Optoelectronics; Light-emitting diode; Physics","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":[0.0002206829,0.00006866123,0.0001351756,0.00001752318,0.0001350511,0.00009005704,0.0001226187,0.00002132444,0.000007261406],"category_scores_gemma":[0.00002785772,0.00003614776,0.00006748571,0.00006919882,0.0001232681,0.0002030837,0.000009539835,0.00008467196,5.627707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001106141,"about_ca_system_score_gemma":0.0001190655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009804659,"about_ca_topic_score_gemma":0.000002570071,"domain_scores_codex":[0.9994967,0.00002860603,0.0002250325,0.00004962705,0.0001289512,0.00007106872],"domain_scores_gemma":[0.9989458,0.0001679921,0.0003768252,0.0001139978,0.0003667889,0.00002860471],"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":[0.001304259,0.0001667757,0.01604925,0.0001721614,0.0009000342,7.678797e-7,0.004569951,0.01678253,0.04578782,0.4290757,0.006029519,0.4791613],"study_design_scores_gemma":[0.001491937,0.0003354733,0.001126267,0.00007169341,0.00008766369,0.000003659763,0.01970554,0.02051475,0.922645,0.01408017,0.01976968,0.0001681023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5868115,0.0002638027,0.40465,0.004428498,0.001202793,0.0007532251,0.00006789647,0.00005579534,0.00176641],"genre_scores_gemma":[0.9992635,0.000003354339,0.0004209196,0.000006653645,0.0001366666,0.000009367269,4.238948e-7,0.000004717194,0.0001544451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8768572,"threshold_uncertainty_score":0.1474063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560480746776156,"score_gpt":0.2441908345560242,"score_spread":0.2185860270882626,"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."}}