{"id":"W1988191738","doi":"10.1103/physreve.80.011201","title":"Dynamic thermodiffusion model for binary liquid mixtures","year":2009,"lang":"en","type":"article","venue":"Physical Review E","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Space Agency; National Science Council; European Space Agency","keywords":"Thermodynamics; Non-equilibrium thermodynamics; Diffusion; Viscosity; Binary number; Enthalpy; Materials science; Thermophoresis; Thermal diffusivity; Activation energy; Component (thermodynamics); Thermal; Chemistry; Physics; Physical chemistry; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004810188,0.0009143039,0.001261884,0.001037771,0.0007171828,0.001345063,0.002739304,0.001917376,0.002876906],"category_scores_gemma":[0.001262639,0.0005713944,0.001089009,0.0006984397,0.001383162,0.002762021,0.001154725,0.00107702,0.0006968845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473784,"about_ca_system_score_gemma":0.001045685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004359355,"about_ca_topic_score_gemma":0.001476517,"domain_scores_codex":[0.999611,0.00006490178,0.00001999653,0.0001110497,0.0001355898,0.00005744318],"domain_scores_gemma":[0.9997506,0.00007814145,0.00005169708,0.00002047195,0.00007276642,0.00002632863],"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":[0.00007247856,0.00008197199,0.0004116604,0.00009598424,0.00002489315,0.0002229397,0.0001338789,0.8219033,0.0173139,0.154319,0.000694513,0.004725449],"study_design_scores_gemma":[0.000008397627,0.00001011638,0.00004683789,0.000002725223,0.000003773688,0.00002854056,0.000003305017,0.9936323,0.0006773924,0.004879664,0.0006998746,0.000007238751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0624785,0.001772489,0.9117137,0.0009178417,0.0002358996,0.0002106292,0.000348191,0.0005513013,0.02177147],"genre_scores_gemma":[0.8903666,0.001876697,0.065887,0.0003903603,0.0001457858,0.0007764785,0.0003929849,0.0001493238,0.04001471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004359355,"threshold_uncertainty_score":0.01069313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331735510612849,"score_gpt":0.3015967796544229,"score_spread":0.2882794245482945,"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."}}