{"id":"W2018335811","doi":"10.1115/icnmm2008-62071","title":"Flow Boiling Heat Transfer in a Silicon Microchannel Heat Sink Using Liquid Crystal Thermography","year":2008,"lang":"en","type":"article","venue":"ASME 2008 6th International Conference on Nanochannels, Microchannels, and Minichannels","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microchannel; Heat sink; Heat transfer coefficient; Materials science; Heat transfer; Pressure drop; Boiling; Silicon; Nucleate boiling; Micro heat exchanger; Thermodynamics; Heat spreader; Mechanics; Optoelectronics; Nanotechnology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004105702,0.001132285,0.00112654,0.001208466,0.0004745262,0.0001288206,0.000679268,0.0005379702,0.0001766816],"category_scores_gemma":[0.00004126317,0.001165336,0.0004147779,0.0006485185,0.000410343,0.0005811726,0.0001118871,0.0008287774,0.00004220621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021299,"about_ca_system_score_gemma":0.0001624746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003401689,"about_ca_topic_score_gemma":0.0002426455,"domain_scores_codex":[0.9953663,0.000124456,0.001229404,0.001234146,0.0006509974,0.00139475],"domain_scores_gemma":[0.9985871,0.0001751648,0.00002948124,0.0004271631,0.0003794165,0.0004016846],"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":[0.001347475,0.0006727555,0.0002049779,0.0004004128,0.0008640978,0.0004716209,0.02308517,0.07166246,0.898612,0.0005828766,0.0008547101,0.001241492],"study_design_scores_gemma":[0.008619664,0.00192247,0.0003860345,0.00276468,0.0001948178,0.001427959,0.005822442,0.4611771,0.5105187,0.0009470178,0.001863154,0.004355963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974786,0.004158028,0.01422182,0.0005698341,0.002504985,0.0007954359,0.0005011,0.0004381374,0.002024692],"genre_scores_gemma":[0.98918,0.008743846,0.0003354611,0.0004424621,0.0006912328,0.0001224106,0.0001227246,0.0001738286,0.0001880394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3895147,"threshold_uncertainty_score":0.9990796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367509260834103,"score_gpt":0.2515225254785767,"score_spread":0.2078474328702357,"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."}}