{"id":"W4319003275","doi":"10.3390/pr11020449","title":"Editorial for Special Issue on “Intelligent Technologies and Processes for Advanced Nuclear Power and Energy Engineering”","year":2023,"lang":"en","type":"article","venue":"Processes","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Nuclear power; Energy (signal processing); Systems engineering; Computer science; Power (physics); Engineering management; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003879986,0.003253404,0.003476086,0.002558408,0.002160216,0.006620042,0.002644089,0.008088373,0.03059151],"category_scores_gemma":[0.01159753,0.0009731455,0.002802141,0.0009252751,0.00155383,0.003472764,0.001139518,0.01270676,0.02207639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835937,"about_ca_system_score_gemma":0.002076225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000787215,"about_ca_topic_score_gemma":0.001997887,"domain_scores_codex":[0.9966456,0.000356373,0.0003717522,0.0006590874,0.001681547,0.0002856795],"domain_scores_gemma":[0.987531,0.003117755,0.0007748798,0.0003411597,0.00608059,0.002154606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007415331,0.00001804381,0.00003338965,0.0001806076,0.00001541138,0.00007177411,0.000006845028,0.00002268246,0.0001541916,0.0002810311,0.9946384,0.004503386],"study_design_scores_gemma":[0.00008323031,0.00007853477,0.0005071795,0.000234498,0.00005253612,0.0002275406,0.00003332019,0.0002241549,0.0003671872,0.00084362,0.9973296,0.00001864607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004581396,0.001382718,0.0001171397,0.01338646,0.9833191,0.00001958743,0.00005372181,0.00005623911,0.001619153],"genre_scores_gemma":[0.0003607177,0.001597757,0.00006986206,0.008080079,0.9802722,0.00001726016,0.00004849414,0.00004489553,0.009508695],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03059151,"threshold_uncertainty_score":0.1023389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008116090285973916,"score_gpt":0.2451569493452665,"score_spread":0.2370408590592926,"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."}}