{"id":"W2062101612","doi":"10.1002/aic.690460318","title":"Double‐slit model for partially wetted trickle flow hydrodynamics","year":2000,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Wetting; Pressure drop; Trickle-bed reactor; TRICKLE; Mechanics; Drop (telecommunication); Contact angle; Two-phase flow; Flow (mathematics); Materials science; Slip (aerodynamics); Chemistry; Thermodynamics; Composite material; Catalysis; Engineering; Mechanical engineering","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":[0.0003058758,0.0001685559,0.0002087354,0.00006921931,0.0001131695,0.00006931907,0.0001895129,0.0001315617,0.0003361236],"category_scores_gemma":[0.000007804282,0.0001557866,0.0001433075,0.0001125404,0.00001754726,0.0001953795,0.000003877225,0.0003689786,0.00005496488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007427121,"about_ca_system_score_gemma":0.00006825338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002623824,"about_ca_topic_score_gemma":0.00004324471,"domain_scores_codex":[0.998872,0.00001199055,0.0003531763,0.0001135925,0.0001998419,0.0004494358],"domain_scores_gemma":[0.9995188,0.00003941239,0.00001341445,0.0001533356,0.00004665272,0.000228433],"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":[0.00009871364,0.00003350285,0.000029208,0.00003206571,0.00008045768,0.000014948,0.0007033772,0.9395555,0.001336488,0.00008102525,0.01238992,0.04564482],"study_design_scores_gemma":[0.001766409,0.00003739783,0.00003875618,0.00001718022,0.00005757821,0.00006861056,0.000009378349,0.9704927,0.0006001329,0.0009297982,0.02578522,0.0001968165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4414989,0.0004828638,0.5437191,0.0007776496,0.001115026,0.0003599975,0.00004014782,0.0003557761,0.01165052],"genre_scores_gemma":[0.9799549,0.0008691471,0.01528626,0.0002250799,0.0008603244,0.00003446808,0.00002310817,0.00008466491,0.002662033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.538456,"threshold_uncertainty_score":0.6352795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596045989349184,"score_gpt":0.2270169270266316,"score_spread":0.2110564671331398,"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."}}