{"id":"W2066936056","doi":"10.1115/fedsm-icnmm2010-30878","title":"Reduced-Order Fluidic Model for Flow Instabilities in Two-Phase Microfluidic Heat Exchangers","year":2010,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Advanced Micro Devices","keywords":"Microchannel; Mechanics; Materials science; Fluidics; Heat exchanger; Heat flux; Two-phase flow; Critical heat flux; Micro heat exchanger; Thermal resistance; Heat transfer; Boiling; Thermodynamics; Flow (mathematics); Engineering; Physics; Heat transfer coefficient; Electrical engineering","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":[0.0003671035,0.0009788376,0.001038722,0.0007116439,0.0006074214,0.0009877684,0.001881119,0.002001891,0.002140064],"category_scores_gemma":[0.001082302,0.0006401083,0.001231688,0.0003259149,0.0008222841,0.0009587041,0.0006164784,0.001243843,0.0004750976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556743,"about_ca_system_score_gemma":0.001479317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157524,"about_ca_topic_score_gemma":0.006101568,"domain_scores_codex":[0.9997709,0.00004599232,0.000009595634,0.00004655062,0.00009415293,0.00003271468],"domain_scores_gemma":[0.9996414,0.0001727355,0.00006464672,0.00002504493,0.00007442907,0.00002176132],"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":[0.0000125492,0.00002340464,0.0002016414,0.00002650073,0.000008941041,0.0000351675,0.00003501551,0.9911156,0.003565707,0.003764782,0.0001410553,0.001069658],"study_design_scores_gemma":[0.000002676039,0.000003908473,0.00002151013,8.193368e-7,0.000001296407,0.00000197752,0.000001254813,0.999388,0.0001658174,0.0002872255,0.0001238624,0.000001667578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09659643,0.0007525324,0.8841671,0.000568317,0.0001290514,0.0002811638,0.0006091499,0.001105616,0.01579067],"genre_scores_gemma":[0.9210668,0.000863437,0.05409055,0.0002091313,0.000112628,0.001237664,0.0006775899,0.0003218164,0.02142035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01157524,"threshold_uncertainty_score":0.02301574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225571918054843,"score_gpt":0.2867825740129182,"score_spread":0.2642253822074339,"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."}}