{"id":"W4410807744","doi":"10.1080/00295639.2025.2494187","title":"Development of a TRACE Critical Break LOCA Model for D-PSA Applications with RAVEN","year":2025,"lang":"en","type":"article","venue":"Nuclear Science and Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"CANDU Owners Group","keywords":"TRACE (psycholinguistics); Nuclear engineering; Nuclear physics; Computer science; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001791926,0.001015864,0.001152419,0.0009696844,0.0005949317,0.00151311,0.002746027,0.002032098,0.00785078],"category_scores_gemma":[0.004835469,0.0009451116,0.001694022,0.0005164613,0.0009597141,0.001198888,0.001523597,0.002263553,0.001042149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594809,"about_ca_system_score_gemma":0.001875509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02699558,"about_ca_topic_score_gemma":0.01703426,"domain_scores_codex":[0.9994861,0.0001418968,0.00002423665,0.0001133759,0.0001536733,0.00008072699],"domain_scores_gemma":[0.9978735,0.001366338,0.0002045093,0.00008679485,0.0003785169,0.00009031832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001192582,0.000008093138,0.0001955121,0.00001701856,0.000005924026,0.00003266063,0.00001887766,0.9939293,0.0001390546,0.0039763,0.0001397671,0.00152565],"study_design_scores_gemma":[0.000002245239,0.000006315005,0.00002715137,0.000005222612,0.000003004186,0.000005910735,0.000005871017,0.998262,0.00007190306,0.001212069,0.0003950984,0.000003193554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03534608,0.0005597285,0.9431505,0.0004382588,0.00008077277,0.0001849186,0.0005339551,0.0008539832,0.01885175],"genre_scores_gemma":[0.7478718,0.000563989,0.2259858,0.0003163508,0.00006384129,0.0006133515,0.00114562,0.000501417,0.02293799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02699558,"threshold_uncertainty_score":0.0536769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673209602684505,"score_gpt":0.3315783778631586,"score_spread":0.2948462818363136,"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."}}