{"id":"W3118735542","doi":"10.31438/trf.hh2006.108","title":"TEMPERATURE REGULATED NONLINEAR MICROVALVES FOR SELF-ADAPTIVE MEMS COOLING","year":2006,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Microelectromechanical systems; Materials science; Microfabrication; Nonlinear system; Thermal; Mechanical engineering; Heat exchanger; Microfluidics; Volumetric flow rate; Mechanics; Fabrication; Optoelectronics; Nanotechnology; 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":[0.0001282046,0.0001695483,0.0001348379,0.00008673042,0.0001396462,0.0002003517,0.0003343879,0.0001342304,0.000559509],"category_scores_gemma":[0.0002363775,0.0001245695,0.0001504882,0.00004745945,0.0001874452,0.0002335675,0.0001857686,0.0001900649,0.0001425626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295128,"about_ca_system_score_gemma":0.0001653849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003998102,"about_ca_topic_score_gemma":0.0007021145,"domain_scores_codex":[0.9999245,0.000008693406,0.000003173758,0.00001451303,0.00003815731,0.00001094072],"domain_scores_gemma":[0.9999155,0.00002449325,0.00002055425,0.0000155851,0.00001811582,0.000005849987],"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":[0.00003805017,0.0000120106,0.0003238879,0.00005113173,0.000005988172,0.0000319043,0.00003538496,0.006635023,0.981699,0.001766176,0.0001137124,0.009287688],"study_design_scores_gemma":[0.00001579166,0.0002108899,0.001311012,0.000007309672,0.00001570062,0.000167253,0.00002100909,0.125897,0.8650252,0.0005287851,0.006781299,0.00001878195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8147774,0.001154511,0.1801543,0.0001142907,0.00006857796,0.00004613187,0.00006876126,0.0005743962,0.003041576],"genre_scores_gemma":[0.9715798,0.0001869202,0.02649609,0.00002180673,0.00000839829,0.00002420714,0.00002905938,0.00002953857,0.001624075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000559509,"threshold_uncertainty_score":0.001871765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005065258367803144,"score_gpt":0.1921570048086358,"score_spread":0.1870917464408327,"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."}}