{"id":"W2090143239","doi":"10.1021/je900700g","title":"Measurement of Ternary Mutual Diffusion Coefficients from Ill-Conditioned Taylor Dispersion Profiles in Cases of Identical or Nearly Identical Eigenvalues of the Diffusion Coefficient Matrix","year":2009,"lang":"en","type":"article","venue":"Journal of Chemical & Engineering Data","topic":"Diffusion Coefficients in Liquids","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Taylor dispersion; Ternary operation; Eigenvalues and eigenvectors; Diffusion; Dispersion (optics); Thermodynamics; Chemistry; Taylor series; Matrix (chemical analysis); Mathematical analysis; Mathematics; Physics; Chromatography; Optics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009062035,0.0003200696,0.0007714769,0.0002093811,0.00004821501,0.00003188658,0.001706745,0.0002215171,0.0002623595],"category_scores_gemma":[0.004572555,0.0002186815,0.0002502155,0.0004211167,0.0002252166,0.0002337813,0.0008833306,0.0006345075,0.000001910125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028995,"about_ca_system_score_gemma":0.0001264489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003135549,"about_ca_topic_score_gemma":8.39738e-7,"domain_scores_codex":[0.9949017,0.00007479221,0.002017299,0.0003894721,0.002264764,0.0003519444],"domain_scores_gemma":[0.9970666,0.0004459868,0.0008539579,0.00100825,0.0004417465,0.0001834949],"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":[0.0007667626,0.002311064,0.001825318,0.0002249097,0.00006000091,0.00004781182,0.0002548476,0.001589557,0.991864,0.00003460397,0.0002598824,0.0007612415],"study_design_scores_gemma":[0.002559942,0.0002637606,0.005000252,0.002819289,0.0002252162,0.00008342041,0.00021867,0.06539867,0.9229882,0.00002870229,0.0001373056,0.0002765199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937458,0.0003671954,0.004775719,0.00009988862,0.0004288048,0.000165224,0.0003860343,0.00001803161,0.00001331108],"genre_scores_gemma":[0.9982356,0.00003361663,0.001416343,0.00001524792,0.0001707605,0.000001631774,0.00008369476,0.00002945678,0.00001358814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06887575,"threshold_uncertainty_score":0.8917571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332095944891278,"score_gpt":0.278863973323618,"score_spread":0.2555430138747052,"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."}}