{"id":"W3211388247","doi":"10.1115/1.4053041","title":"Mass Advection–Diffusion in Creeping Flow Through an Orifice Plate: A Model for Nanoporous Atomically Thin Membranes","year":2021,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Body orifice; Mechanics; Mass transfer; Advection; Nanopore; Molecular diffusion; Membrane; Reynolds number; Stokes flow; Materials science; Diffusion; Physics; Flow (mathematics); Chemistry; Thermodynamics; Nanotechnology; Turbulence; Mechanical engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002758063,0.0002265074,0.0005203448,0.000129384,0.0001105268,0.00002471388,0.0001287901,0.0001663626,0.00002558963],"category_scores_gemma":[0.00001045948,0.0002031645,0.0002363335,0.0002390559,0.00002219724,0.0005806133,0.00000380569,0.0003232585,0.000001130116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008026796,"about_ca_system_score_gemma":0.00009007557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001385823,"about_ca_topic_score_gemma":0.0002954771,"domain_scores_codex":[0.9984832,0.0000279098,0.0007183724,0.0001871303,0.0002545855,0.0003288196],"domain_scores_gemma":[0.9995031,0.00006869673,0.00001244957,0.0001341334,0.0001942594,0.00008733173],"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":[0.0003559134,0.0001472875,0.0001227617,0.0003734356,0.0001329302,0.0001892164,0.005056782,0.7483252,0.2445067,0.0001514063,0.00009383269,0.0005445692],"study_design_scores_gemma":[0.004275704,0.0002752255,0.000160573,0.0005494581,0.0001941039,0.0002468641,0.0007712991,0.8140956,0.1741736,0.00270991,0.002037173,0.0005105837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4979013,0.00393131,0.4969041,0.0002732951,0.0005714649,0.0001649261,0.00002640886,0.0000548722,0.000172347],"genre_scores_gemma":[0.9736541,0.007498868,0.01835668,0.0001230993,0.0002287679,0.00001424037,0.00001401031,0.00006257584,0.00004765017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785475,"threshold_uncertainty_score":0.828481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205774522081249,"score_gpt":0.2373020984267055,"score_spread":0.2167246462185806,"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."}}