{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005629,0.000185731,0.0002569535,0.0003372742,0.0001234499,0.0001604935,0.0006299625,0.0001051733,0.0007886019],"category_scores_gemma":[0.0006076407,0.0001651418,0.00006104919,0.0003422954,0.0001438906,0.0004858229,0.0002177476,0.0001794302,0.00007968993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006129397,"about_ca_system_score_gemma":0.0001068164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003926479,"about_ca_topic_score_gemma":0.00002412965,"domain_scores_codex":[0.9975106,0.0001280279,0.0005768994,0.0004874126,0.001018383,0.0002787121],"domain_scores_gemma":[0.9961846,0.0001345486,0.0002166972,0.0004017941,0.002929675,0.0001326661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005064601,0.001770737,0.006187005,0.0000352792,0.000145568,0.00001037345,0.0004533071,0.01199797,0.002422147,0.1809982,0.01261921,0.7833096],"study_design_scores_gemma":[0.002114162,0.00004467257,0.000872341,0.00004761865,0.00002563259,0.000006205041,0.00004441828,0.9726276,0.0007790896,0.00534371,0.01793531,0.0001592598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07026187,0.0003842821,0.9011104,0.01090688,0.0005458795,0.000969505,0.0002810401,0.0001811701,0.01535901],"genre_scores_gemma":[0.9965007,0.0001411123,0.001931898,0.0002643744,0.0001627232,0.00006053684,0.00006084818,0.000007943926,0.0008698682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9606296,"threshold_uncertainty_score":0.8634638,"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."}}