{"id":"W4281716105","doi":"10.1071/aj21305","title":"Concurrent 2. Presentation for: Feasibility study of adiabatic compressed air energy storage in porous reservoirs","year":2022,"lang":"en","type":"article","venue":"The APPEA Journal","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Compressed air energy storage; Energy storage; Environmental science; Renewable energy; Wind hybrid power systems; Compressed air; Pumped-storage hydroelectricity; Petroleum engineering; Process engineering; Waste management; Engineering; Distributed generation; Electrical engineering; Mechanical engineering; Power (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006248823,0.0002697779,0.0002755472,0.0002676282,0.00081381,0.0008967287,0.0007904273,0.0006834786,0.1255961],"category_scores_gemma":[0.0004858349,0.0001554333,0.0003972015,0.0001530624,0.0001823285,0.0005598328,0.0007103172,0.0004785702,0.01309732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847703,"about_ca_system_score_gemma":0.0006387293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655813,"about_ca_topic_score_gemma":0.0027297,"domain_scores_codex":[0.9998404,0.00001894767,0.000003930003,0.00002427911,0.00007541455,0.00003697007],"domain_scores_gemma":[0.9996607,0.00007112328,0.00001247196,0.00002891012,0.0001473225,0.00007944309],"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":[0.01708803,0.004144651,0.01059246,0.001226288,0.00008283785,0.003085376,0.001201578,0.01957857,0.3649466,0.01169997,0.3081455,0.2582081],"study_design_scores_gemma":[0.002048613,0.02440971,0.03128685,0.0002858247,0.0001314207,0.0006883047,0.002604985,0.06007694,0.3123748,0.00815597,0.5577356,0.0002010046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5182302,0.0005791453,0.03214481,0.003432485,0.002587657,0.003848549,0.008050312,0.002938944,0.4281878],"genre_scores_gemma":[0.7167051,0.0002253004,0.007673253,0.0002727496,0.0002351846,0.0005856092,0.002213217,0.0002833931,0.2718061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255961,"threshold_uncertainty_score":0.4201607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318169366031258,"score_gpt":0.2548201864631281,"score_spread":0.2316384928028155,"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."}}