{"id":"W2320284590","doi":"10.2514/6.2011-804","title":"Multiple-Stage Pulse Tube Cryocoolers for Very Low Temperature Cooling","year":2011,"lang":"en","type":"article","venue":"49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Cryocooler; Pulse tube refrigerator; Stage (stratigraphy); Tube (container); Pulse (music); Materials science; Cryogenics; Physics; Optics; Regenerative heat exchanger; Thermodynamics; Geology; Composite material","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007021328,0.0004624782,0.0003811523,0.0001366707,0.001684522,0.0002569995,0.0004527749,0.0001996142,0.000009618706],"category_scores_gemma":[0.0001686867,0.0003597829,0.0001457992,0.0005733072,0.0003020751,0.0007116151,0.0001413968,0.0003112467,0.000007403528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222111,"about_ca_system_score_gemma":0.00004970611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002201195,"about_ca_topic_score_gemma":0.0002676912,"domain_scores_codex":[0.9977363,0.00005423739,0.000377609,0.0005606416,0.0003360082,0.0009352069],"domain_scores_gemma":[0.9989018,0.000294818,0.0001566799,0.0003418843,0.00007556544,0.0002292826],"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":[0.0002403213,0.00006754991,0.003801861,0.000391639,0.0001458196,0.00000859311,0.007861753,0.2212142,0.752653,0.004721844,0.004873,0.004020379],"study_design_scores_gemma":[0.005045512,0.00173266,0.002408314,0.003580809,0.0002489162,0.0001476383,0.04376996,0.6376449,0.2931183,0.002834391,0.005817629,0.003650949],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422172,0.001593321,0.05035417,0.0006497027,0.002192414,0.0009926147,0.00004704184,0.0007173482,0.001236174],"genre_scores_gemma":[0.9873577,0.0002053893,0.01119128,0.00008323634,0.0004240921,0.0001026534,0.00001351286,0.00008174514,0.0005403751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4595347,"threshold_uncertainty_score":0.9998854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072632228719934,"score_gpt":0.2360573981912859,"score_spread":0.2153310759040866,"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."}}