{"id":"W3085162363","doi":"10.1109/itherm45881.2020.9190618","title":"Experimental Validation of a Smart Microfluidic Cell Cooling Solution","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Microfluidics; Coolant; Materials science; Microelectronics; Heat flux; Flow (mathematics); Water cooling; Volumetric flow rate; Nanotechnology; Mechanical engineering; Mechanics; Heat transfer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006301195,0.0001538463,0.0001921473,0.0000647764,0.00002047341,0.00002093138,0.00008747304,0.0001741165,0.0001247272],"category_scores_gemma":[0.00000251603,0.0001769465,0.00008102324,0.00006749504,0.00001097629,0.00005388346,0.00005149229,0.0001798701,0.00002026568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006802345,"about_ca_system_score_gemma":0.00002870525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004133271,"about_ca_topic_score_gemma":5.139805e-7,"domain_scores_codex":[0.9992875,0.0000194506,0.0002812513,0.0001686411,0.000112007,0.0001311838],"domain_scores_gemma":[0.9997635,0.000009582128,0.00001414569,0.0001324598,0.00003021273,0.00005002356],"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":[0.00001518251,0.00003217427,0.00002323612,0.0005509192,0.0000269139,8.075669e-7,0.0008909834,0.1024923,0.8940594,0.00003783497,0.001756886,0.0001133582],"study_design_scores_gemma":[0.0001712633,0.00001985309,0.00001509277,0.00004236937,0.00002166285,4.171655e-7,0.0000462904,0.1054683,0.8939191,0.00002257493,0.0001291825,0.0001438536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1475315,0.002318079,0.8430246,0.00003469841,0.0005657302,0.0003110848,0.00002552354,0.0003593386,0.00582948],"genre_scores_gemma":[0.9963662,0.0003461459,0.002916977,0.0000165822,0.00006610296,0.00001934989,0.0002174609,0.0000350748,0.00001609802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8488348,"threshold_uncertainty_score":0.7215669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195334785234674,"score_gpt":0.2331572594828443,"score_spread":0.2112039116304975,"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."}}