{"id":"W1985702696","doi":"10.1080/01457630802125740","title":"Development of Composite Wicks for Heat Pipe Performance Enhancement","year":2008,"lang":"en","type":"article","venue":"Heat Transfer Engineering","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Heat pipe; Materials science; Composite number; Loop heat pipe; Heat transfer; Micro-loop heat pipe; Composite material; Thermal; Capillary action; Mechanics; Thermodynamics","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"],"consensus_categories":[],"category_scores_codex":[0.0001011463,0.0002831577,0.0003808483,0.0001161816,0.0001344328,0.000006136137,0.0001191358,0.0000734525,0.00001237175],"category_scores_gemma":[0.000001844179,0.0002895249,0.0001049269,0.0001530205,0.00002952655,0.000101635,0.000006626295,0.0001348378,0.000006499512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007744829,"about_ca_system_score_gemma":0.00002937213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003048225,"about_ca_topic_score_gemma":0.000003523427,"domain_scores_codex":[0.9986968,0.000003351818,0.0004668987,0.0001929966,0.0001942035,0.0004457306],"domain_scores_gemma":[0.9996659,0.00004248933,9.323652e-7,0.0001535165,0.00004784752,0.00008927688],"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":[0.00003299378,0.00006070316,0.0004089171,0.001742713,0.0002017335,0.000003178853,0.005326639,0.1041141,0.8856616,0.00004198891,0.0000351481,0.002370263],"study_design_scores_gemma":[0.0007438156,0.00006948226,0.002865625,0.0002126875,0.00002689757,0.00001221284,0.00002184051,0.05503308,0.9354802,4.666558e-7,0.005175893,0.0003577548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6026476,0.0005226507,0.3959557,0.000009652606,0.0002061782,0.0002220488,0.000006155952,0.0002003802,0.0002296236],"genre_scores_gemma":[0.9835293,0.0005381355,0.01562632,0.00001252791,0.00005907142,0.0001434406,0.00001608542,0.00005938533,0.00001575571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3808817,"threshold_uncertainty_score":0.9999557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905092460339119,"score_gpt":0.2050065376106323,"score_spread":0.1859556130072411,"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."}}