{"id":"W1995312757","doi":"10.1002/cjce.5450820307","title":"Development of Two‐point Dynamic Method for Evaluating Extraction Columns","year":2004,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Sieve (category theory); Mass transfer; Extraction (chemistry); Mixing (physics); Point (geometry); Position (finance); Column (typography); Mechanics; Diffusion; Materials science; Computer science; Chromatography; Mathematics; Chemistry; Geometry; Physics; Thermodynamics","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":[0.000707921,0.0001090156,0.00019718,0.000106173,0.00004054946,0.00001651154,0.0001627944,0.00006036505,0.00001014993],"category_scores_gemma":[0.0001252691,0.00009602397,0.00008368404,0.0001047653,0.00001665386,0.00007262416,0.000002974293,0.0002610153,7.50117e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974526,"about_ca_system_score_gemma":0.0004907725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001400673,"about_ca_topic_score_gemma":0.0008020963,"domain_scores_codex":[0.9990948,0.000005784301,0.000433482,0.00005444051,0.000151854,0.0002596844],"domain_scores_gemma":[0.9994286,0.0001107872,0.00004027228,0.00008202135,0.0000930899,0.000245266],"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":[0.000004036049,0.000003131264,0.000001668828,0.00008764256,0.00006057304,0.000003668076,0.001073098,0.3490925,0.640197,0.0002221332,0.00001609663,0.009238468],"study_design_scores_gemma":[0.00110294,0.0000362791,0.00004865141,0.0002762344,0.00007993748,0.0001610226,0.00006063063,0.1755263,0.8208652,0.0006697061,0.0009562169,0.0002168165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5293569,0.00022519,0.4696507,0.0001116391,0.000452562,0.0001220235,0.000004349359,0.0000193511,0.00005724103],"genre_scores_gemma":[0.7941514,0.000001567339,0.2057295,0.000009173476,0.00007171128,0.000007763209,0.000001578,0.00002522321,0.000002104284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647945,"threshold_uncertainty_score":0.3915744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192992879716642,"score_gpt":0.2859790995452456,"score_spread":0.2666798115735814,"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."}}