{"id":"W2148521998","doi":"10.1115/ipc2002-27403","title":"Evaluation of Pipeline Control Center Operator Skills Utilizing High Fidelity Pipeline Simulation Technology","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Diverse Research and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Metso (Canada)","funders":"","keywords":"Pipeline (software); Operator (biology); Automation; Computer science; Control (management); Fidelity; Pipeline transport; High fidelity; Simulation; Control system; Engineering; Operating system; Mechanical engineering; Artificial intelligence; Telecommunications; Electrical engineering","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":[0.001553523,0.0003929223,0.0002128293,0.0007166011,0.0002834525,0.0004904809,0.0003424324,0.0003783853,0.002080457],"category_scores_gemma":[0.005252649,0.0001626495,0.0002186613,0.0004359964,0.0002051628,0.0004830398,0.000529231,0.000292569,0.000308679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006912892,"about_ca_system_score_gemma":0.001349898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008768066,"about_ca_topic_score_gemma":0.01302145,"domain_scores_codex":[0.9986933,0.0005039887,0.00007333234,0.00008506845,0.0005623183,0.00008202155],"domain_scores_gemma":[0.9968649,0.001161509,0.0001814883,0.0002193658,0.001412886,0.0001599812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002527285,0.003273144,0.1180027,0.0004184567,0.0001188509,0.000336352,0.002041815,0.176629,0.204544,0.0026127,0.006052127,0.4834436],"study_design_scores_gemma":[0.0002824928,0.007265846,0.1883691,0.00006801316,0.0000790429,0.0003113025,0.000859819,0.6180999,0.175536,0.001021925,0.007975038,0.0001315361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882942,0.00004661561,0.1075875,0.0001162209,0.00001892952,0.0004569745,0.0004984192,0.0006988919,0.007634461],"genre_scores_gemma":[0.9685308,0.00005870962,0.02912592,0.00002082937,0.000003101903,0.0001208853,0.0003782132,0.00002403334,0.001737543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008768066,"threshold_uncertainty_score":0.01743406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05799239177029782,"score_gpt":0.3293614502278615,"score_spread":0.2713690584575636,"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."}}