{"id":"W2051113128","doi":"10.1115/icem2009-16250","title":"OXIPROBE: A Non Destructive Tool for Determining Steam Generator Oxide Characteristics","year":2009,"lang":"en","type":"article","venue":"ASME 2009 12th International Conference on Environmental Remediation and Radioactive Waste Management, Volume 2","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Boiler (water heating); Coolant; Piping; Nuclear engineering; Fouling; Materials science; Heat transfer; Oxide; Feedwater heater; Corrosion; Leakage (economics); Heat recovery steam generator; Surface condenser; Environmental science; Waste management; Thermal power station; Metallurgy; Mechanical engineering; Engineering; Superheated steam; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000522411,0.0005692559,0.0002416783,0.001700125,0.0002881064,0.0004777447,0.0005420031,0.0004232341,0.004248579],"category_scores_gemma":[0.0005767511,0.0003348218,0.0001783242,0.0004670902,0.0002827748,0.0003033277,0.0003851866,0.0004159563,0.0008370127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842368,"about_ca_system_score_gemma":0.0004307324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145303,"about_ca_topic_score_gemma":0.0170383,"domain_scores_codex":[0.9994429,0.00003469736,0.00002377038,0.00010198,0.0003632613,0.00003335209],"domain_scores_gemma":[0.9993935,0.0001642913,0.0001362127,0.00003230802,0.0002211378,0.00005262386],"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":[0.0001613728,0.00004512488,0.009629318,0.0003062391,0.00002074588,0.0001846475,0.0001935552,0.0001560415,0.9592085,0.0002634709,0.0008455918,0.02898551],"study_design_scores_gemma":[0.00002874811,0.0005443394,0.06372462,0.000100349,0.00007501271,0.001285983,0.0004230919,0.003336443,0.9086951,0.0001773917,0.02156669,0.00004241542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8306285,0.004448778,0.1254425,0.0002488842,0.00009955389,0.000626275,0.006210893,0.003031382,0.02926323],"genre_scores_gemma":[0.6617472,0.004786966,0.2870162,0.0003696177,0.00003874456,0.000481471,0.005236972,0.0004380383,0.03988493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004248579,"threshold_uncertainty_score":0.01421297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008999253004663815,"score_gpt":0.2063284293940045,"score_spread":0.1973291763893407,"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."}}