{"id":"W7072018647","doi":"","title":"Weather-Driven Modeling of Future Renewable Power Systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Renewable energy; Electric power system; Power (physics); Production (economics); Electricity generation","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":[0.00004437024,0.0001110507,0.0001580723,0.00007472183,0.00001703627,0.00002889948,0.00009637349,0.000126247,0.0002319951],"category_scores_gemma":[0.000003216477,0.00009071546,0.00003420174,0.0001337523,0.000004951932,0.0001802073,0.000008035445,0.00006127414,0.00007690237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004612236,"about_ca_system_score_gemma":0.000007963191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204223,"about_ca_topic_score_gemma":0.00003288748,"domain_scores_codex":[0.9993913,0.00001404895,0.000248107,0.00009063131,0.0001051599,0.0001507991],"domain_scores_gemma":[0.9995784,0.000005946589,0.00002384567,0.0002022967,0.0001518018,0.00003773098],"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":[4.778474e-7,0.000003615515,0.00002032323,0.00003442947,0.00002665949,2.067996e-7,0.0001199514,0.9914305,0.004514439,0.001223761,0.002608762,0.00001684809],"study_design_scores_gemma":[0.00007941201,0.000009497126,0.000002269155,0.00005083317,0.000003934995,0.000002734674,0.0007760119,0.9969649,0.001139559,0.00001438493,0.0008535898,0.0001029002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06676426,0.0006776836,0.6780865,0.0000327987,0.001673415,0.0003349059,0.000003862136,0.00068938,0.2517373],"genre_scores_gemma":[0.9940163,0.00002866023,0.003179542,0.000005795972,0.00007186431,0.0000325627,0.000007533995,0.0000385696,0.002619143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9272521,"threshold_uncertainty_score":0.3699269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004802254297677984,"score_gpt":0.1650528729581227,"score_spread":0.1602506186604448,"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."}}