{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006119724,0.0001862912,0.000205395,0.00005951167,0.0003138991,0.00008488064,0.0002029605,0.00009211731,0.000008797829],"category_scores_gemma":[0.0002052814,0.0001374764,0.00004563467,0.0001386965,0.00005271032,0.0001302356,0.00004732133,0.0002189169,0.000001491403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002226004,"about_ca_system_score_gemma":0.00003244058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000207065,"about_ca_topic_score_gemma":0.001885944,"domain_scores_codex":[0.9988905,0.00001004556,0.0003250907,0.0001990037,0.0001142273,0.0004611232],"domain_scores_gemma":[0.9993999,0.0002535437,0.00004005916,0.0001762953,0.00007682099,0.00005339216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005738915,0.00003759209,0.001939539,0.001625126,0.0005361839,0.00002397685,0.01222664,0.009834471,0.5924847,0.01721362,0.009957085,0.3540637],"study_design_scores_gemma":[0.002285939,0.0001033524,0.0005608358,0.0004301528,0.0001167711,0.00007413082,0.01154819,0.2366145,0.09848669,0.0002730362,0.6481845,0.001321888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214573,0.002163896,0.07230116,0.0008797831,0.001062885,0.0007166262,0.0001102749,0.0006479698,0.0006600941],"genre_scores_gemma":[0.9921665,0.00002665872,0.007316637,0.00006036926,0.0002514079,0.00008504838,0.000003530348,0.00004448564,0.00004532616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6382274,"threshold_uncertainty_score":0.5606126,"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."}}