{"id":"W4400097742","doi":"10.1002/cjce.25375","title":"Introducing a novel method for determining the effective thermal conductivity at moderate and high Péclet numbers","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Mitacs; Energi Simulation; ConocoPhillips","keywords":"Thermal conductivity; Materials science; Thermal; Mechanics; Mathematics; Process engineering; Computer science; Physics; Composite material; Thermodynamics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005878822,0.0001525012,0.0002069497,0.00006810906,0.00008431972,0.00009945056,0.0001508961,0.00007344349,0.000006607296],"category_scores_gemma":[0.0001431752,0.0000986235,0.00008015794,0.00009467826,0.00005029734,0.0001169845,0.00001027901,0.0004508372,6.267863e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392007,"about_ca_system_score_gemma":0.00008422271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002426677,"about_ca_topic_score_gemma":0.0002109532,"domain_scores_codex":[0.9992832,0.00001493513,0.000194963,0.0001027833,0.00009496925,0.0003091738],"domain_scores_gemma":[0.9989296,0.0006893018,0.00001337225,0.0000994369,0.00004247202,0.0002257702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003315134,0.00000361158,0.00003930072,0.0003334914,0.0003931668,0.0000280145,0.004224627,0.2614535,0.7077181,0.0008830177,0.0005387998,0.02435126],"study_design_scores_gemma":[0.0006275586,0.0000377832,0.0001782964,0.0002566192,0.0001521505,0.0003638508,0.0000257945,0.6407706,0.3546079,0.0002366579,0.002453779,0.0002890129],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033869,0.0007535231,0.09391816,0.0006379264,0.0009783498,0.0002065981,0.00002298855,0.00004286891,0.00005266602],"genre_scores_gemma":[0.9950258,0.000003447574,0.004316798,0.00004502936,0.0005359899,0.00001782708,0.000001466695,0.0000468638,0.000006793952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379317,"threshold_uncertainty_score":0.4021749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008793805762436073,"score_gpt":0.2177664136098169,"score_spread":0.2089726078473809,"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."}}