{"id":"W2523134030","doi":"10.1109/tste.2016.2612121","title":"Power Ramp Limitation Capabilities of Large PV Power Plants With Active Power Reserves","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Power (physics); Electrical engineering; AC power; Electricity generation; Base load power plant; Engineering; Environmental science; Automotive engineering; Distributed generation; Renewable energy; Voltage; Physics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000318353,0.000396806,0.0004780613,0.0006474293,0.0002545079,0.00004341613,0.0003171326,0.000282818,0.001191122],"category_scores_gemma":[0.00006521537,0.0002897213,0.0001691962,0.0005103378,0.000210082,0.0008742355,0.000006121182,0.0001530701,0.00001844797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005097422,"about_ca_system_score_gemma":0.0002648348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002077439,"about_ca_topic_score_gemma":0.0006016421,"domain_scores_codex":[0.9973006,0.0002651913,0.0005728814,0.0005545045,0.0005982341,0.0007085771],"domain_scores_gemma":[0.9973819,0.0005419151,0.0002945728,0.0007933146,0.0008323166,0.0001560204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01822474,0.009096393,0.0005372525,0.001002615,0.004058009,0.000613123,0.02783483,0.1910568,0.1520753,0.5718762,0.01607878,0.007546019],"study_design_scores_gemma":[0.00214822,0.001181424,0.0001934347,0.0002801074,0.00003764952,0.00002258968,0.01884684,0.00008484744,0.9441996,0.002693305,0.02969456,0.000617396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2226142,0.00008129359,0.7405035,0.0003246354,0.0002953174,0.0005854006,0.0002344939,0.0007184329,0.03464276],"genre_scores_gemma":[0.9681694,0.00006570083,0.000595969,0.0001034601,0.00001466462,0.0003663119,0.00001209277,0.0001032225,0.03056918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7921243,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0075231008415805,"score_gpt":0.2270849054885987,"score_spread":0.2195618046470182,"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."}}