{"id":"W2076208480","doi":"10.1115/icnmm2008-62235","title":"Effect of Wetting on Adiabatic Gas-Liquid Two-Phase Flow in a Microchannel","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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microchannel; Wetting; Materials science; Two-phase flow; Slug flow; Pressure drop; Adiabatic process; Mechanics; Composite material; Analytical Chemistry (journal); Flow (mathematics); Thermodynamics; Chemistry; Chromatography; Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006926266,0.00088928,0.001150375,0.0009868371,0.0002259883,0.00004854575,0.0005961423,0.0002999597,0.0001316842],"category_scores_gemma":[0.0001790002,0.0008479731,0.0002784924,0.0004399982,0.000289289,0.0002843064,0.0001020902,0.0006370733,0.00009261502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481307,"about_ca_system_score_gemma":0.00009491044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009109749,"about_ca_topic_score_gemma":0.00006541916,"domain_scores_codex":[0.9962517,0.0001825089,0.001126154,0.0008889759,0.0005830879,0.0009675999],"domain_scores_gemma":[0.9983883,0.0005331595,0.0001387539,0.000385637,0.0002737583,0.0002803967],"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":[0.01271318,0.003176995,0.0003328771,0.003035001,0.002571879,0.001563296,0.04870368,0.06202662,0.7834103,0.003832264,0.009190373,0.06944359],"study_design_scores_gemma":[0.01459668,0.008016549,0.00004932069,0.00284796,0.0001156077,0.0003447186,0.001049414,0.1073557,0.8625574,0.0005978286,0.0006456182,0.001823278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879977,0.001411121,0.002223144,0.0004418496,0.002129446,0.0008447084,0.0004035401,0.0002493277,0.004299185],"genre_scores_gemma":[0.9950107,0.003467747,0.0001926755,0.0002142003,0.0004462681,0.0001838744,0.0001036103,0.0001124111,0.000268483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07914711,"threshold_uncertainty_score":0.9993971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251147752863668,"score_gpt":0.2868764886366283,"score_spread":0.2617617133502615,"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."}}