{"id":"W2360635227","doi":"","title":"LP cylinder offset regularity of a N200MW steam turbine and its prevention measures","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Offset (computer science); Cylinder; Steam turbine; Turbine; Engineering; Mechanical engineering; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003167893,0.0001052432,0.0001675821,0.0001117621,0.0000511359,0.0000325131,0.0004074764,0.00007524959,0.00004057998],"category_scores_gemma":[0.00016829,0.00008811099,0.00004539623,0.0002677294,0.00003039711,0.00049924,0.0002675977,0.00009364993,0.000008297568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002179278,"about_ca_system_score_gemma":0.00001051559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004993962,"about_ca_topic_score_gemma":0.000007872406,"domain_scores_codex":[0.9988698,0.0000629995,0.0002305815,0.0003155818,0.0003785354,0.0001424798],"domain_scores_gemma":[0.9990802,0.00007773345,0.0001194112,0.0005039436,0.0001669585,0.00005169471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002294975,0.0005037755,0.0002369143,0.00004274407,0.00003382469,0.00001505727,0.0003723323,0.00009572136,0.01230487,0.1125778,0.00777201,0.866022],"study_design_scores_gemma":[0.001286544,0.0007628094,0.008506247,0.0003001332,0.00002415072,0.0001295286,0.00001629036,0.3737616,0.1990148,0.4077651,0.00774881,0.0006839955],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04393358,0.0007040614,0.9516428,0.0004256355,0.00006044442,0.0002280544,0.000001468179,0.0003084167,0.002695542],"genre_scores_gemma":[0.8137102,0.00007123729,0.1850159,0.0000561803,0.00001295689,0.000005626883,2.920823e-7,0.000005335397,0.001122248],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.865338,"threshold_uncertainty_score":0.3593062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05449953760186885,"score_gpt":0.2934473082990175,"score_spread":0.2389477706971486,"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."}}