{"id":"W4390912973","doi":"10.3390/app14020759","title":"Water Flow Boiling in Micro/Mini Channels Using Volume of Fluid Model","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Volume of fluid method; Mechanics; Computational fluid dynamics; Heat transfer; Heat exchanger; Materials science; Boiling; Micro heat exchanger; Adiabatic process; Thermodynamics; Mechanical engineering; Flow (mathematics); Heat transfer coefficient; Engineering; 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":[0.0002567768,0.0001028184,0.0001534792,0.0001475995,0.0000667964,0.00005085926,0.0001350891,0.00003896327,0.000007913251],"category_scores_gemma":[0.00000198661,0.00007507456,0.00003291733,0.0002744486,0.0001265239,0.0001011462,0.00002271408,0.00008129502,0.00001501497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002168675,"about_ca_system_score_gemma":0.00002306729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001705485,"about_ca_topic_score_gemma":0.00001135896,"domain_scores_codex":[0.99918,0.000003662127,0.0001946592,0.0001914186,0.0001422681,0.0002879495],"domain_scores_gemma":[0.9998787,0.00002086901,0.000001964871,0.00006590696,0.000009114342,0.0000234601],"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":[7.708149e-7,0.000003504225,0.0000359711,0.0000863469,0.000005929357,0.000001246912,0.002023344,0.5373208,0.459638,0.0001415951,0.00002877817,0.0007137277],"study_design_scores_gemma":[0.00003794539,0.000005628519,0.000007009477,0.00005095824,0.000005112766,9.5395e-7,0.0002180823,0.7430142,0.255955,0.000561634,0.00005709604,0.00008641028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790523,0.0007237262,0.01671592,0.00003790389,0.000300487,0.00007849753,0.000004682963,0.0001154507,0.002971037],"genre_scores_gemma":[0.9958542,0.00004242073,0.003994806,0.00001279272,0.00004625216,0.000007880537,8.233104e-7,0.000010914,0.00002991363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2056934,"threshold_uncertainty_score":0.3061452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167166275286262,"score_gpt":0.2497306957582605,"score_spread":0.2180590330053979,"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."}}