{"id":"W1967645990","doi":"10.1080/10893950490477518","title":"ADIABATIC GAS–LIQUID FLOW IN MICROCHANNELS","year":2004,"lang":"en","type":"article","venue":"Microscale Thermophysical Engineering","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microchannel; Materials science; Slug flow; Adiabatic process; Pressure drop; Two-phase flow; Mechanics; Flow (mathematics); Hydraulic diameter; Thermodynamics; Flow coefficient; Reynolds number; Nanotechnology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001131846,0.000292526,0.0002891144,0.0002163482,0.00002937366,0.0000249587,0.0002206497,0.0001268215,0.0000197106],"category_scores_gemma":[0.00001402473,0.0003183093,0.00007331737,0.0007994773,0.00005035817,0.0001623014,0.00004432553,0.0003789998,0.00008215784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401428,"about_ca_system_score_gemma":0.00001860049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009221979,"about_ca_topic_score_gemma":3.689796e-7,"domain_scores_codex":[0.9987961,0.000005664752,0.0003609348,0.0002386045,0.0001208846,0.0004777952],"domain_scores_gemma":[0.9996151,0.00001935955,0.00002229298,0.0002509218,0.00003711275,0.00005519063],"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":[0.000009328485,0.00004136197,0.00000197757,0.00006515515,0.00001476884,0.00001310254,0.000273125,0.03591145,0.9591213,0.002260682,0.00006748117,0.002220207],"study_design_scores_gemma":[0.0005368392,0.00005808699,0.0001329487,0.0001415327,0.000005538082,0.00001297888,0.00001847276,0.01484917,0.9825457,0.0006241397,0.000692005,0.0003825357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6157096,0.0001916548,0.3825737,0.00004581999,0.0002044538,0.0001805948,0.00001339006,0.0006015546,0.0004792319],"genre_scores_gemma":[0.9955156,0.00001106816,0.004045948,0.00007422668,0.0001530531,0.00005812286,0.00003220509,0.00009103303,0.00001876996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379806,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004672845861249782,"score_gpt":0.1895035575342564,"score_spread":0.1848307116730067,"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."}}