{"id":"W4381620383","doi":"10.1016/j.nima.2023.168477","title":"An integrated online radioassay data storage and analytics tool for nEXO","year":2023,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; TRIUMF; Carleton University; Snolab; McGill University","funders":"SLAC National Accelerator Laboratory; Pacific Northwest National Laboratory; Lawrence Livermore National Laboratory; Natural Sciences and Engineering Research Council of Canada; Nuclear Physics; Fonds de recherche du Québec – Nature et technologies; Oak Ridge National Laboratory; National Natural Science Foundation of China; Laboratory Directed Research and Development; Brookhaven National Laboratory; U.S. Department of Energy; Office of Science; Canada First Research Excellence Fund; Russian Foundation for Basic Research; National Science Foundation","keywords":"Computer science; Detector; Analytics; Event (particle physics); Data science; Data mining; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002175425,0.002944642,0.001364285,0.002929863,0.0005868043,0.003445451,0.002831388,0.00074053,0.0378812],"category_scores_gemma":[0.006569743,0.001032331,0.0009845172,0.001961068,0.0005470348,0.003569006,0.003800829,0.001309921,0.01700823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032587,"about_ca_system_score_gemma":0.001405145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002784826,"about_ca_topic_score_gemma":0.00255472,"domain_scores_codex":[0.9984144,0.0001089931,0.0002000352,0.0004331986,0.0006957234,0.0001476188],"domain_scores_gemma":[0.9967114,0.001073997,0.0003067157,0.001042212,0.000603579,0.0002621918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004474573,0.0008885065,0.02166769,0.001934208,0.0007092883,0.001326388,0.001433492,0.009439075,0.07865892,0.01303491,0.2588127,0.6076202],"study_design_scores_gemma":[0.0008528259,0.0004993549,0.02117226,0.0005560102,0.0004181755,0.001411064,0.0005390156,0.2420817,0.2477883,0.03666728,0.4473742,0.0006397814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01179359,0.0004601166,0.266455,0.0003586835,0.0002781701,0.0005477946,0.03561793,0.6733837,0.01110508],"genre_scores_gemma":[0.2570778,0.001387081,0.4537269,0.002629077,0.0003524822,0.003118481,0.1405455,0.09211086,0.04905179],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0378812,"threshold_uncertainty_score":0.1267252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09928869167186549,"score_gpt":0.4126016566722655,"score_spread":0.3133129650004,"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."}}