{"id":"W2909010331","doi":"10.5539/mas.v13n2p116","title":"Candidate Sites for Pumped Hydroelectric Energy Storage System in Jordan","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydroelectricity; Wind power; Pumped-storage hydroelectricity; Renewable energy; Environmental science; Intermittent energy source; Energy storage; Grid; Structural basin; Energy source; Computer science; Distributed generation; Power (physics); Engineering; Geology; Electrical engineering","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":[0.0002081121,0.0001013004,0.000137278,0.0001991607,0.00006078873,0.00006535187,0.0002358858,0.00003438089,0.00000505859],"category_scores_gemma":[0.000003355285,0.00009882096,0.00001906481,0.0004917979,0.00002412919,0.0001194577,0.00002050579,0.00004944943,0.00001504301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711765,"about_ca_system_score_gemma":0.00003701433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002133106,"about_ca_topic_score_gemma":0.00006522102,"domain_scores_codex":[0.999131,0.000003590339,0.0001382779,0.0002443055,0.0001491461,0.0003337446],"domain_scores_gemma":[0.999701,0.00001920958,0.00002368509,0.000183462,0.00002094052,0.00005170724],"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":[0.000009536451,0.000004862085,0.00003217104,0.00003530893,0.000002153066,4.542229e-7,0.0001469419,0.5212817,0.4706683,0.0020251,0.00001631305,0.005777091],"study_design_scores_gemma":[0.0003950569,0.00001008407,0.0000511795,0.000006956373,0.000002607418,0.000001083323,0.00001831779,0.9843277,0.01462489,0.0001987729,0.0002405826,0.0001228143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4686054,0.000399459,0.5249993,0.000009430762,0.0001812672,0.0004452651,0.000006689901,0.0002258034,0.00512734],"genre_scores_gemma":[0.9990419,0.00001335951,0.0007177162,0.00002577124,0.00002558841,0.00007620381,0.000006963949,0.00001604096,0.00007645555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5304365,"threshold_uncertainty_score":0.4029802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003708688643217003,"score_gpt":0.1719848993631864,"score_spread":0.1682762107199694,"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."}}