{"id":"W3034666851","doi":"10.1016/j.applthermaleng.2020.115577","title":"Numerical and experimental investigation of the steady-state performance characteristics of loop heat pipes","year":2020,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control volume; Discretization; Steady state (chemistry); Sensitivity (control systems); Transient (computer programming); Mechanics; Control theory (sociology); Heat transfer; Conservation of mass; Loop (graph theory); Materials science; Engineering; Mathematics; Computer science; Physics; Control (management); Mathematical analysis","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":[0.000815289,0.0003421771,0.0004946284,0.0003965384,0.0005471519,0.0005103462,0.0006929794,0.0006477407,0.002540248],"category_scores_gemma":[0.002789287,0.0003131002,0.0003321021,0.000456688,0.0009507925,0.0008265884,0.0003532096,0.0003846489,0.0002861625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685587,"about_ca_system_score_gemma":0.0001635122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007169535,"about_ca_topic_score_gemma":0.0005103871,"domain_scores_codex":[0.9995357,0.00009607269,0.00002697617,0.00007868162,0.0001860948,0.00007657845],"domain_scores_gemma":[0.9975185,0.00136176,0.0002139732,0.0002692991,0.000563163,0.00007332211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002179882,0.0007022893,0.004243077,0.0002648647,0.00002578563,0.0001134892,0.000568006,0.03450426,0.9437491,0.0008260806,0.0004659348,0.01235735],"study_design_scores_gemma":[0.0001348816,0.004152836,0.01994933,0.00001966878,0.00004609945,0.0001158043,0.000229315,0.1685785,0.805331,0.0002944191,0.001072085,0.00007614538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935824,0.00009921032,0.004795762,0.0000366478,0.00001617955,0.00001506829,0.0001316491,0.0001498176,0.00117315],"genre_scores_gemma":[0.9987434,0.00003327962,0.0005984178,0.000003896505,0.000005260671,0.000009638287,0.00007329245,0.00001549348,0.0005174468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002540248,"threshold_uncertainty_score":0.008498013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009222544686035507,"score_gpt":0.1736924166238566,"score_spread":0.1644698719378211,"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."}}