{"id":"W2174628321","doi":"10.1615/ichmt.2000.thersieprocvol2thersieprocvol1.60","title":"THERMAL MANAGEMENT OF HIGH-HEAT-FLUX DEVICES EDIFICE: EMBEDDED DROPLET IMPINGEMENT FOR INTEGRATED COOLING OF ELECTRONICS","year":2000,"lang":"en","type":"article","venue":"","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Heat flux; Materials science; Electronics; Computer cooling; Coolant; Electronics cooling; Mechanical engineering; Microelectromechanical systems; Radiative cooling; Jet (fluid); Heat pipe; Latent heat; Active cooling; Heat sink; Heat transfer; Optoelectronics; Aerospace engineering; Water cooling; Thermal management of electronic devices and systems; Mechanics; Electrical engineering; Engineering; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002795772,0.0003800225,0.0004025731,0.0002218369,0.0002517982,0.0008041494,0.0006241978,0.0004582417,0.001661479],"category_scores_gemma":[0.0003621103,0.0001782858,0.0001570554,0.0001709988,0.000363026,0.0006813941,0.0004248623,0.0003859366,0.0002322123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007037709,"about_ca_system_score_gemma":0.0002762817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000363536,"about_ca_topic_score_gemma":0.0006519523,"domain_scores_codex":[0.9997416,0.00002582678,0.000009917566,0.00006027565,0.0001238981,0.00003848793],"domain_scores_gemma":[0.9998968,0.00002629782,0.00002057447,0.00001339135,0.00003221769,0.00001071692],"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":[0.0001255186,0.00004404725,0.0003167878,0.0003464027,0.0000177845,0.0001705773,0.000112333,0.006858335,0.9496632,0.002055769,0.0009961342,0.03929303],"study_design_scores_gemma":[0.00002598628,0.0003359376,0.001303936,0.00002465654,0.00001583089,0.0002129716,0.00004687985,0.0276628,0.9514857,0.0002785395,0.01857877,0.00002790379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7215361,0.01805257,0.2350003,0.0006355675,0.000441325,0.0002624876,0.000195472,0.001201228,0.02267498],"genre_scores_gemma":[0.9160409,0.00469973,0.06132045,0.000129718,0.0001024261,0.00008809225,0.0001360421,0.000167141,0.01731545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001661479,"threshold_uncertainty_score":0.005558193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808631032581906,"score_gpt":0.2211768122565994,"score_spread":0.2130905019307804,"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."}}