{"id":"W1994927669","doi":"10.1016/j.amc.2013.06.052","title":"Semi-analytical solutions to one-dimensional advection–diffusion equations with variable diffusion coefficient and variable flow velocity","year":2013,"lang":"en","type":"article","venue":"Applied Mathematics and Computation","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; Petroleum Technology Research Centre","funders":"Petroleum Technology Research Centre","keywords":"Diffusion; Advection; Molecular diffusion; Mechanics; Flow (mathematics); Mass transfer; Diffusion process; Thermodynamics; Viscosity; Fick's laws of diffusion; Chemistry; Physics","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":[0.0001534417,0.0001588065,0.000195942,0.0001098321,0.0002239423,0.00009128688,0.00004439734,0.00008300143,0.00004555449],"category_scores_gemma":[0.00002398073,0.0001462722,0.00001354066,0.0002814186,0.00003223008,0.00009653473,0.00007175435,0.0001163565,0.00002267296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000705101,"about_ca_system_score_gemma":0.00002028417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002478273,"about_ca_topic_score_gemma":0.000005719451,"domain_scores_codex":[0.9991082,0.000006965451,0.0002467792,0.0002110991,0.0002190678,0.0002079049],"domain_scores_gemma":[0.9993953,0.0002192248,0.00004351721,0.0001228716,0.0001042427,0.0001149024],"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":[0.000009055272,0.0002716791,0.000005415743,0.0002305616,0.00005671899,2.968491e-7,0.0005947624,0.8325213,0.03184262,0.1137917,0.0009211611,0.01975479],"study_design_scores_gemma":[0.0002201704,0.00005470368,0.0001401384,0.00008735587,0.00004223294,0.000005326482,0.00005743876,0.9593915,0.000442377,0.0393069,0.000073619,0.0001782547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1001078,0.00001690291,0.8958371,0.00004669739,0.00003336767,0.0004955612,0.000006253665,0.0002545933,0.003201709],"genre_scores_gemma":[0.5246439,0.00000976227,0.4750312,0.00005688248,0.00001873034,0.0001457358,0.00003043285,0.00002453033,0.0000387752],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4245361,"threshold_uncertainty_score":0.5964808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183702636093279,"score_gpt":0.2135341534532024,"score_spread":0.2016971270922696,"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."}}