{"id":"W4320018327","doi":"10.1039/d2lc01033j","title":"The 2D microfluidics cookbook – modeling convection and diffusion in plane flow devices","year":2023,"lang":"en","type":"review","venue":"Lab on a Chip","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Flow (mathematics); Diffusion; Plane (geometry); Convection; Nanotechnology; Engineering; Mechanics; Computer science; Materials science; Physics; Mathematics; Geometry; Thermodynamics","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":[0.000490609,0.0003466103,0.0005723328,0.0002892625,0.0001247862,0.00006680469,0.0001853043,0.0003087517,0.000005231742],"category_scores_gemma":[0.00003175001,0.0002529066,0.00006213905,0.0006627813,0.00004625513,0.00004912663,0.00006518905,0.0006207566,0.00004856752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984049,"about_ca_system_score_gemma":0.00004127367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001317531,"about_ca_topic_score_gemma":0.000006592267,"domain_scores_codex":[0.9986759,0.00004769269,0.0005958027,0.0002688693,0.0001462731,0.0002654428],"domain_scores_gemma":[0.9994455,0.0001385394,0.00009161831,0.0002599139,0.00004088952,0.00002354496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007232,0.00001103601,0.000002464087,0.005299241,0.00006114857,0.000009997934,0.0001113509,0.00001893003,0.0002911591,0.002754012,0.002097848,0.9893356],"study_design_scores_gemma":[0.0001660265,0.0000293007,0.000002552236,0.007553027,0.00005442159,0.00002310244,0.00003097814,0.01276339,0.0002389559,0.0003305567,0.9784463,0.0003614056],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003051409,0.9898725,0.00735626,0.00002202244,0.0004296535,0.0006664667,0.00004795423,0.0004758101,0.0008241802],"genre_scores_gemma":[0.0002917587,0.9986402,0.00007718574,0.00006299723,0.0001215742,0.000115501,0.0002976412,0.0000953084,0.0002978308],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9889742,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798726416146096,"score_gpt":0.2823918272254423,"score_spread":0.2444045630639813,"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."}}