{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004578104,0.0001115371,0.0001085062,0.00004335173,0.00005215744,0.00003178634,0.00004613926,0.0001095747,0.00002190298],"category_scores_gemma":[0.000001392005,0.0001018537,0.00005309782,0.0001269422,0.000006621749,0.00008684101,0.000002362645,0.00006850262,0.000006906931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002919458,"about_ca_system_score_gemma":0.00001106191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001998771,"about_ca_topic_score_gemma":0.00002728922,"domain_scores_codex":[0.9995144,0.000004188058,0.0001442671,0.0001112018,0.00005244496,0.0001734979],"domain_scores_gemma":[0.9998013,0.00002356063,0.000003364124,0.00008094474,0.00006145891,0.00002931498],"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":[0.00004135324,0.00005934386,0.00004470592,0.0001199244,0.0001034458,0.000002333728,0.000273256,0.7711048,0.2178031,0.001835735,0.008087887,0.0005240885],"study_design_scores_gemma":[0.0005807894,0.00002954145,0.0002725001,0.00001741068,0.00002877904,0.000003542415,0.00003298198,0.6685465,0.3256392,0.00005923282,0.004573084,0.0002164483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3348387,0.0007470298,0.6395831,0.0001633299,0.0007061195,0.001110695,0.0001042729,0.003361504,0.01938526],"genre_scores_gemma":[0.8624849,0.00003457053,0.1363657,0.00005280897,0.000308527,0.00002046551,0.0001688927,0.00005652977,0.0005076987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5276461,"threshold_uncertainty_score":0.4153472,"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."}}