{"id":"W2067318858","doi":"10.3390/electronics3010001","title":"Compressed Air Energy Storage System Control and Performance Assessment Using Energy Harvested Index","year":2014,"lang":"en","type":"article","venue":"Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Compressed air energy storage; Energy storage; Renewable energy; Wind power; Energy (signal processing); Index (typography); Compressed air; Automotive engineering; Process engineering; Computer science; Engineering; Reliability engineering; Environmental science; Power (physics); Electrical engineering; Mechanical engineering; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001162414,0.0001708508,0.0002314244,0.00007123635,0.00009875862,0.00005052953,0.00009346251,0.00008952714,0.000003348054],"category_scores_gemma":[0.00000228194,0.0001741259,0.00002964985,0.0001033719,0.00001529766,0.0001517415,0.00001454863,0.0001244161,6.103932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160876,"about_ca_system_score_gemma":0.00003844817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002390993,"about_ca_topic_score_gemma":0.00006302408,"domain_scores_codex":[0.9991262,0.00005603571,0.0001954762,0.0001610093,0.0001203941,0.0003409108],"domain_scores_gemma":[0.9996355,0.00003147106,0.00005154121,0.0001715313,0.00004392628,0.00006607388],"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":[0.00002235418,0.00001202778,0.0004892516,0.00007946644,0.00007628063,0.000001054839,0.00001452352,0.9660194,0.0113788,0.004548248,0.00006991253,0.01728868],"study_design_scores_gemma":[0.001100055,0.00007133557,0.001405444,0.00002892071,0.00003032218,0.00001190135,0.000004847246,0.9742469,0.0008466889,0.000009280027,0.0220593,0.0001850468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1313989,0.007138956,0.8602244,0.00001809697,0.0001962104,0.00007985847,0.000003997814,0.0003324242,0.0006072434],"genre_scores_gemma":[0.9986414,0.0006007519,0.0004328618,0.00008201211,0.0001291056,0.00001627967,0.00001661373,0.00003776945,0.00004319536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8672425,"threshold_uncertainty_score":0.7100647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002926805550302088,"score_gpt":0.1726362889265179,"score_spread":0.1697094833762158,"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."}}