{"id":"W7155389882","doi":"10.13182/t133-49198","title":"A Scenario-driven Automated Testing Framework for Plant Protection System","year":2025,"lang":"","type":"article","venue":"Transactions of the American Nuclear Society","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Automation; Materials testing; System testing; Control system; Systems analysis; Reliability (semiconductor)","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004995328,0.0003233753,0.000563591,0.0001048318,0.001484361,0.0001817668,0.001353142,0.0001817502,0.000002062244],"category_scores_gemma":[0.0003657099,0.0002833859,0.0007535602,0.002870482,0.000745515,0.0001670238,0.00009985567,0.0006565333,0.000003369724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991629,"about_ca_system_score_gemma":0.0003451807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319559,"about_ca_topic_score_gemma":0.000003330514,"domain_scores_codex":[0.9977762,0.0002055116,0.0006042636,0.0006077229,0.0003253277,0.0004809973],"domain_scores_gemma":[0.9965995,0.0009545522,0.000808735,0.001197029,0.0003646011,0.00007561124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007840167,0.002753133,0.003132881,0.0107465,0.004391153,0.000006053965,0.02930505,0.0548543,0.01130715,0.02453192,0.08305814,0.7751297],"study_design_scores_gemma":[0.0002367168,0.0004120312,0.001651967,0.002697654,0.0002318935,0.00002782147,0.0004906578,0.9914328,0.0004720844,0.001597391,0.0004750861,0.0002739082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008227338,0.00004440628,0.9740219,0.001928865,0.0009211946,0.001287062,0.00006204263,0.01343687,0.0000703663],"genre_scores_gemma":[0.5562293,0.000008462866,0.4433176,0.0002701471,0.00003602596,0.00007318454,3.743382e-7,0.00002934724,0.0000355489],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9365785,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727401457666356,"score_gpt":0.2735241818869985,"score_spread":0.2462501673103349,"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."}}