{"id":"W2017910313","doi":"10.1016/j.apenergy.2014.08.028","title":"Parameters affecting scalable underwater compressed air energy storage","year":2014,"lang":"en","type":"article","venue":"Applied Energy","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Ontario Centres of Excellence","keywords":"Compressed air energy storage; Compressed air; Gas compressor; Hydraulic accumulator; Air compressor; Engineering; Parametric statistics; Underwater; Energy storage; Process engineering; Sensitivity (control systems); Mechanical engineering; Environmental science; Geology; Electronic engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004074473,0.0002799656,0.0003386044,0.0003123968,0.0004119478,0.0008389605,0.0002555414,0.0004020835,0.002006056],"category_scores_gemma":[0.004075909,0.0001688945,0.000100753,0.0003743578,0.0004740754,0.001108583,0.0003616097,0.0003080149,0.0002920581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006284329,"about_ca_system_score_gemma":0.0003914687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009739324,"about_ca_topic_score_gemma":0.00118463,"domain_scores_codex":[0.9997767,0.00002786959,0.00001651773,0.00003239487,0.0001003653,0.00004613237],"domain_scores_gemma":[0.9979417,0.00143422,0.0001824488,0.00009358365,0.0002998512,0.00004816304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002992218,0.0001478999,0.01134684,0.0006600476,0.00006498265,0.001031779,0.0004235106,0.1987066,0.7371124,0.0054494,0.003282885,0.03878137],"study_design_scores_gemma":[0.00008692444,0.0007764777,0.01211531,0.0001035603,0.00009741446,0.0004088719,0.0008471094,0.2789176,0.6982505,0.00352405,0.00477857,0.00009364381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781146,0.0009275923,0.009345792,0.0004177144,0.0001114501,0.00006296472,0.0004607967,0.0002864024,0.01027276],"genre_scores_gemma":[0.9993289,0.00008994331,0.0002279257,0.00001173245,0.000005739983,0.000008015091,0.00005107908,0.00001932414,0.0002574555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002006056,"threshold_uncertainty_score":0.006710947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007514975992508917,"score_gpt":0.1732832720034268,"score_spread":0.1657682960109179,"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."}}