{"id":"W2104860700","doi":"10.1109/tns.2006.876319","title":"Performance Support System for$hbox I^125$Monitoring in the McMaster University Nuclear Reactor","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Systems engineering; Interface (matter); Software; Human–machine system; Computer science; Engineering; Embedded system; Operating system; Artificial intelligence","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":[0.0005108163,0.0003184917,0.0001829021,0.0002922213,0.0004001443,0.0009856715,0.0008884608,0.0002880871,0.007659224],"category_scores_gemma":[0.001064984,0.0001340165,0.0001536075,0.0001999059,0.0003439836,0.0003548246,0.0003302796,0.0002620484,0.001388906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091382,"about_ca_system_score_gemma":0.001367323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01379731,"about_ca_topic_score_gemma":0.008339355,"domain_scores_codex":[0.9996111,0.00007077866,0.00002255382,0.00007714846,0.0001731776,0.00004541006],"domain_scores_gemma":[0.9996231,0.0001022887,0.00004630912,0.00006296623,0.0001315464,0.0000337205],"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":[0.002103541,0.0004222314,0.01295348,0.0003435727,0.0000579304,0.001047031,0.001666579,0.09111741,0.2581209,0.02073269,0.02610065,0.5853339],"study_design_scores_gemma":[0.000550909,0.002843247,0.02170616,0.00008832425,0.0001799018,0.0007492462,0.0004926195,0.5280747,0.2890211,0.003289409,0.152832,0.0001724044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3554941,0.0001936112,0.5545656,0.0007700419,0.00009429267,0.0008997092,0.0007733747,0.04623515,0.04097418],"genre_scores_gemma":[0.8952567,0.00006522198,0.08682302,0.0001255931,0.00002037806,0.0002154744,0.0005040596,0.0002893094,0.0167002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01379731,"threshold_uncertainty_score":0.02743399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349408576270202,"score_gpt":0.2807107977934474,"score_spread":0.2372167120307454,"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."}}