{"id":"W1549726720","doi":"10.1002/etep.153","title":"Assessing mid‐continent area power pool capacity adequacy including transmission limitations","year":2007,"lang":"en","type":"article","venue":"European Transactions on Electrical Power","topic":"Electric Power System Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Electric power system; Environmental science; Transmission (telecommunications); Margin (machine learning); Transmission system; Computer science; Power (physics); Engineering; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008721106,0.0004368823,0.000348104,0.0006969614,0.000429049,0.0001946393,0.0002896247,0.0001593385,0.0002296061],"category_scores_gemma":[0.00007191908,0.0004458009,0.0002476951,0.001572171,0.00004222885,0.0006465926,0.000003627758,0.0009401711,0.0002045048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004630999,"about_ca_system_score_gemma":0.00003687917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004835293,"about_ca_topic_score_gemma":0.00000462642,"domain_scores_codex":[0.997081,0.0002404696,0.0008169695,0.0004885842,0.0005215849,0.0008513322],"domain_scores_gemma":[0.9985729,0.000431866,0.0001027127,0.0003952299,0.0001414791,0.0003557398],"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":[0.0003896236,0.002774088,0.0001974388,0.000159869,0.0008574313,0.00042568,0.006429346,0.383772,0.2464913,0.001231285,0.006221962,0.35105],"study_design_scores_gemma":[0.0106476,0.003389404,0.03714935,0.001748908,0.0009021217,0.0007335233,0.0009770528,0.3638301,0.3379688,0.00038335,0.2338354,0.008434477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02271465,0.0002424219,0.9060776,0.0001788233,0.0004978756,0.0004698808,0.000005226854,0.00107164,0.06874187],"genre_scores_gemma":[0.9949118,0.00007393215,0.004274088,0.0001568389,0.00005721657,0.00001637961,0.00001258091,0.0001689981,0.0003281081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9721972,"threshold_uncertainty_score":0.9997994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045538329922824,"score_gpt":0.2490393205174133,"score_spread":0.2085839372181851,"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."}}