{"id":"W2324278523","doi":"10.2514/6.2008-5703","title":"Method and Devices for Accumulation and Conversion of the Compressible Gas Energy","year":2008,"lang":"en","type":"article","venue":"6th International Energy Conversion Engineering Conference (IECEC)","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Civil Aviation Organization","funders":"","keywords":"Compressibility; Energy (signal processing); Energy transformation; Environmental science; Computer science; Petroleum engineering; Materials science; Mechanics; Geology; Thermodynamics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00006185439,0.0001587753,0.0001714655,0.0001408493,0.00006786792,0.0000191337,0.000232426,0.0001182898,0.00001847193],"category_scores_gemma":[0.00003308125,0.0001371374,0.00005268006,0.0000979301,0.00007071866,0.000172694,0.0001158518,0.00007599795,3.649208e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003600296,"about_ca_system_score_gemma":0.00002018664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008960538,"about_ca_topic_score_gemma":0.000008484134,"domain_scores_codex":[0.9993141,0.00001026291,0.000185204,0.0001769546,0.0001697526,0.0001437086],"domain_scores_gemma":[0.9994928,0.0001478288,0.0000636242,0.0001384575,0.0001136623,0.00004366661],"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":[0.0001963828,0.00008251299,0.0187599,0.0006961635,0.0008480243,0.00001111437,0.0009953126,0.2123321,0.5693675,0.1576176,0.004188396,0.03490496],"study_design_scores_gemma":[0.0006169178,0.00002785953,0.006851734,0.0000692076,0.00001891863,0.00002327197,0.00008321419,0.8712215,0.08247311,0.000247122,0.03817886,0.00018825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4862349,0.0007387193,0.5105442,0.0004248025,0.000948186,0.0001127627,0.00002944439,0.000342033,0.0006248723],"genre_scores_gemma":[0.99532,0.0006950657,0.003669483,0.00003461001,0.00003664468,0.0000174693,0.00001589199,0.00001775056,0.0001930422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6588894,"threshold_uncertainty_score":0.55923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685408770763307,"score_gpt":0.239948260858803,"score_spread":0.2130941731511699,"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."}}