{"id":"W4362469332","doi":"10.3390/en16073175","title":"Thermal Performance Analysis of Micro Pin Fin Heat Sinks under Different Flow Conditions","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Universidade Estadual Paulista; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Subcooling; Mechanics; Heat transfer; Fin; Materials science; Pressure drop; Heat flux; Heat sink; Thermodynamics; Nucleate boiling; Annular fin; Boiling; Superheating; Heat transfer coefficient; Composite material; 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":[0.00002539306,0.00007872294,0.000143006,0.0002117976,0.00004008521,0.00001078619,0.00005244791,0.00004256967,0.0001686041],"category_scores_gemma":[0.000001515941,0.00007034316,0.00007194136,0.0005330559,0.00002118232,0.00006086197,0.000007108804,0.00004745171,0.00001167006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001705539,"about_ca_system_score_gemma":0.000005248715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001342516,"about_ca_topic_score_gemma":0.00003728225,"domain_scores_codex":[0.999611,0.00001070128,0.0001247607,0.00006072436,0.0000692352,0.0001236364],"domain_scores_gemma":[0.9998172,0.00003284492,0.000002816367,0.0001097495,0.00001502401,0.00002234296],"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":[0.000001552765,0.000006920086,0.001070258,0.00002260556,0.0001896928,3.138944e-7,0.0004323895,0.9624313,0.03533648,0.00007123891,0.000185816,0.0002514262],"study_design_scores_gemma":[0.0001052852,0.000009298943,0.134221,0.00001094045,0.0001296731,9.913659e-8,0.00009792491,0.7938425,0.07143974,0.000007422117,0.00005186183,0.00008421238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938629,0.00007924567,0.005039704,0.00005179149,0.0001002874,0.00002871341,0.00004923222,0.0002077354,0.00058037],"genre_scores_gemma":[0.9991502,0.0002859247,0.0001184545,0.00001599505,0.0000202987,0.00001100902,0.0002581062,0.00001289431,0.0001270799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1685888,"threshold_uncertainty_score":0.2868511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107406792422838,"score_gpt":0.2128399263071417,"score_spread":0.2020992470648579,"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."}}