{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001589858,0.000876111,0.0006606666,0.002259097,0.0004285433,0.0009837482,0.001099845,0.0009054344,0.001530602],"category_scores_gemma":[0.00255034,0.0005705658,0.0002771999,0.001241175,0.0004841739,0.001161033,0.0007812298,0.0008342278,0.0005600247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822575,"about_ca_system_score_gemma":0.000902906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904738,"about_ca_topic_score_gemma":0.002189617,"domain_scores_codex":[0.9982551,0.0002739248,0.0000764775,0.0002701742,0.001060736,0.00006358062],"domain_scores_gemma":[0.9983395,0.0005304302,0.000112506,0.00007885428,0.0008753201,0.00006339238],"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":[0.0001480735,0.0001320509,0.00243589,0.0005646568,0.00003674903,0.00008658145,0.0001935381,0.01279872,0.7932352,0.004347838,0.000803683,0.1852169],"study_design_scores_gemma":[0.00005255772,0.0003480082,0.004385564,0.0000315813,0.00004226427,0.0002315722,0.0001256737,0.4393679,0.5469697,0.001888604,0.006377909,0.0001786442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03698701,0.0006526607,0.9592052,0.00006867417,0.00005058464,0.0002516253,0.0001822179,0.001013798,0.001588162],"genre_scores_gemma":[0.2508307,0.0005794172,0.7457188,0.00004334251,0.00002026257,0.0006615259,0.0001601395,0.00007225534,0.001913521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002259097,"threshold_uncertainty_score":0.008408129,"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."}}