{"id":"W1993442637","doi":"10.1016/j.anucene.2009.12.020","title":"Evaluation of the proximity effect on flow-accelerated corrosion","year":2010,"lang":"en","type":"article","venue":"Annals of Nuclear Energy","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"King Fahd University of Petroleum and Minerals; CANDU Owners Group","keywords":"Piping; Upstream (networking); Nuclear power plant; Environmental science; Corrosion; Volumetric flow rate; Power station; Degradation (telecommunications); Carbon steel; Computer science; Process (computing); Flow (mathematics); Power (physics); Reliability engineering; Process engineering; Nuclear engineering; Materials science; Engineering; Mathematics; Environmental engineering; Composite material; Mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004861504,0.0002622031,0.0003234349,0.0002965039,0.0002382117,0.0003771402,0.0002956427,0.0004602406,0.001950081],"category_scores_gemma":[0.00161547,0.0001890163,0.0003170454,0.0002167779,0.0002449835,0.0004584724,0.0002717413,0.0003530575,0.0002119124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551935,"about_ca_system_score_gemma":0.0001688384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012925,"about_ca_topic_score_gemma":0.001038425,"domain_scores_codex":[0.9996094,0.00007846277,0.00001638798,0.00006720749,0.0001744156,0.00005406813],"domain_scores_gemma":[0.9990761,0.0004062817,0.0001302121,0.00007626141,0.0002609149,0.00005019192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003099836,0.0001734774,0.002301462,0.0001628215,0.00003207464,0.0001796028,0.00008478772,0.002462968,0.9785066,0.0002314761,0.00006710543,0.01269791],"study_design_scores_gemma":[0.00005434542,0.003816982,0.01193785,0.000007443984,0.00008435876,0.0002620524,0.00004901639,0.007135282,0.9757785,0.00006160828,0.0008001729,0.00001244164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950305,0.0007284711,0.002816726,0.00001555191,0.00002518589,0.0000247875,0.00003485774,0.00002641722,0.001297543],"genre_scores_gemma":[0.9973224,0.0003046362,0.001227075,0.00001091085,0.00001429557,0.00000532987,0.00004147676,0.000008621293,0.001065404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001950081,"threshold_uncertainty_score":0.006523669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05042001435153175,"score_gpt":0.3048540877026814,"score_spread":0.2544340733511496,"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."}}