{"id":"W4403438129","doi":"10.2514/1.t6885","title":"Pulsating Heat Pipe Performance Modeling with Liquid Metal Coolants Under Hypersonic Aerothermal Heating","year":2024,"lang":"en","type":"article","venue":"Journal of Thermophysics and Heat Transfer","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Lockheed Martin","keywords":"Coolant; Materials science; Liquid metal; Hypersonic speed; Heat pipe; Mechanics; Nuclear engineering; Thermodynamics; Heat transfer; Aerospace engineering; Physics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001652481,0.0003778797,0.0003349996,0.0001869627,0.0002521963,0.0004612025,0.0005118452,0.0006835131,0.001414561],"category_scores_gemma":[0.0004289745,0.0002373794,0.0004507706,0.0001539823,0.0004778748,0.0003449472,0.0003032445,0.0002829042,0.0002567936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005651612,"about_ca_system_score_gemma":0.0004914538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006569021,"about_ca_topic_score_gemma":0.002732849,"domain_scores_codex":[0.9999342,0.00001284496,0.000002504678,0.00001392627,0.00001997325,0.00001654007],"domain_scores_gemma":[0.9998696,0.00006637668,0.0000222839,0.000008573841,0.00002526234,0.000007870066],"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":[0.0000692835,0.00002107759,0.001074914,0.00004949033,0.000007699005,0.0001039365,0.00007751803,0.977071,0.01822846,0.0006986737,0.0001238893,0.002473993],"study_design_scores_gemma":[0.000003478882,0.00002064594,0.0002302262,0.000002151666,0.000002424969,0.000006785045,0.000008558046,0.9970305,0.002498904,0.00005405397,0.0001397131,0.000002466431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9130271,0.0002332483,0.07290954,0.000149439,0.00002694546,0.00006657728,0.0001543655,0.0003876146,0.01304512],"genre_scores_gemma":[0.9965498,0.00006597516,0.001703788,0.000005495788,0.000002252561,0.00002758641,0.00002494015,0.00002188507,0.001598174],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006569021,"threshold_uncertainty_score":0.01306158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607733899107531,"score_gpt":0.2136366797304807,"score_spread":0.1975593407394054,"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."}}