{"id":"W1031890203","doi":"10.1139/tcsme-2009-0003","title":"DECENTRALISED GENERATION IN VICTORIA, AUSTRALIA: IMPLICATIONS FOR ELECTRICITY SUPPLY RELIABILITY","year":2009,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Mains electricity; Renewable energy; Electricity generation; Reliability (semiconductor); Wind power; Nameplate capacity; Environmental economics; Fossil fuel; Electricity demand; Environmental science; Reliability engineering; Business; Engineering; Economics; Power (physics); Electrical engineering; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137222,0.0001392805,0.0001718587,0.00006694679,0.0001216341,0.00001985634,0.0001787396,0.000227547,0.000007193345],"category_scores_gemma":[0.00004864031,0.0001399824,0.0003255048,0.0004567239,0.000009191897,0.0001090149,7.487751e-7,0.0001778025,2.174797e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009928149,"about_ca_system_score_gemma":0.00009977329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003329372,"about_ca_topic_score_gemma":0.02597056,"domain_scores_codex":[0.9990722,0.000007853605,0.0003584478,0.0001544844,0.00006740585,0.0003396044],"domain_scores_gemma":[0.9994523,0.0000509944,0.00002979279,0.0002373313,0.0001139532,0.0001156535],"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":[0.000002443316,0.00001117644,0.00000565252,0.00003388276,0.00002684688,1.170123e-8,0.00006334022,0.9610719,0.0321557,0.00597764,0.0004019513,0.0002494396],"study_design_scores_gemma":[0.0003910101,0.00003500715,0.0003932757,0.00002130061,0.00004520435,0.000001334668,0.00001023656,0.9517174,0.04545823,0.0004266549,0.00133439,0.0001659979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03138174,0.00003423992,0.9658177,0.0008692063,0.0005471176,0.0009687473,0.0002589271,0.0001083632,0.00001394394],"genre_scores_gemma":[0.9767976,0.00001309714,0.02278827,0.00003543921,0.00006754424,0.0001838626,0.00005469169,0.00002515837,0.0000343226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9454159,"threshold_uncertainty_score":0.9918029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316500356019645,"score_gpt":0.2188993345940468,"score_spread":0.2057343310338504,"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."}}