{"id":"W2512696704","doi":"","title":"Developing And Implementing a 'Full Scope' Operator Trainer Simulator For the TransCanada Keystone Pipeline","year":2010,"lang":"en","type":"article","venue":"PSIG Annual Meeting","topic":"Power Systems and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Trainer; Pipeline (software); Scope (computer science); Computer science; Simulation; Operator (biology); Keystone species; Engineering; Operating system","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":[0.0006623158,0.0004609228,0.0002540234,0.0002165391,0.0004577935,0.0005876172,0.001304543,0.0005808145,0.0073605],"category_scores_gemma":[0.001224481,0.0003796653,0.0002821013,0.0001348749,0.0002936014,0.0009544148,0.001101442,0.0007448902,0.001373496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005810413,"about_ca_system_score_gemma":0.002785005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008582053,"about_ca_topic_score_gemma":0.009093326,"domain_scores_codex":[0.9996729,0.0000574044,0.00001788138,0.00005942577,0.0001284599,0.00006399553],"domain_scores_gemma":[0.9993852,0.00008682046,0.00002632606,0.0001001967,0.0002469146,0.0001544557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009149567,0.001273195,0.02173871,0.000315841,0.00009952093,0.0006212085,0.002469615,0.3714509,0.2496934,0.004766313,0.01195926,0.3346972],"study_design_scores_gemma":[0.0002508439,0.002114659,0.009694658,0.00006703357,0.00006758471,0.0003131995,0.0009894872,0.8452805,0.07244542,0.001270977,0.06738973,0.000115831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5107961,0.00005548881,0.4528577,0.000333199,0.0001484485,0.001193371,0.0004468806,0.009785513,0.02438325],"genre_scores_gemma":[0.7407601,0.00008004088,0.2420128,0.00007205345,0.00001043645,0.0003122984,0.0007066975,0.0005648609,0.01548067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008582053,"threshold_uncertainty_score":0.02462327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159468222390787,"score_gpt":0.2449156656524424,"score_spread":0.2333209834285345,"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."}}