{"id":"W1537181493","doi":"10.1002/cjce.22156","title":"Effective mass diffusion and dispersion in random porous media","year":2015,"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":"","funders":"","keywords":"Porous medium; Anisotropy; Randomness; Dispersion (optics); Materials science; Diffusion; Mechanics; Thermal diffusivity; Statistical physics; Isotropy; Porosity; Physics; Mathematics; Statistics; Optics; Thermodynamics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003632388,0.000113542,0.000205656,0.0001325815,0.00001422707,0.00002363206,0.0001269299,0.00008316419,0.000004854524],"category_scores_gemma":[0.0002151151,0.00008411,0.00003449379,0.0001183491,0.0000371414,0.00008079269,0.000004936084,0.0003849548,0.000001414739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246498,"about_ca_system_score_gemma":0.00009652589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004026769,"about_ca_topic_score_gemma":0.0005200894,"domain_scores_codex":[0.999343,0.00001369229,0.0002060503,0.00005353006,0.0001397218,0.0002439764],"domain_scores_gemma":[0.9991692,0.0001598461,0.00001203594,0.00006898157,0.00003269266,0.0005572971],"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":[0.0003187234,0.00003385773,0.008353923,0.0004372025,0.0002584876,0.001598537,0.03054489,0.1873004,0.7190918,0.0009751863,0.002721218,0.04836581],"study_design_scores_gemma":[0.03483843,0.0004217953,0.01308306,0.002722676,0.0004272319,0.002761493,0.001193328,0.3884639,0.5308114,0.004476893,0.01791992,0.002879876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963087,0.001702095,0.0008891217,0.0001871325,0.0005776001,0.00009212563,0.000002563802,0.00001750826,0.0002231413],"genre_scores_gemma":[0.9995611,0.00002255974,0.000181125,0.00001623235,0.0001913394,0.000003019589,0.000001253901,0.00002151403,0.000001860834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2011635,"threshold_uncertainty_score":0.3429906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00581261170217326,"score_gpt":0.1732524132022444,"score_spread":0.1674398015000711,"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."}}