{"id":"W1987084165","doi":"10.1002/mats.200800074","title":"The Ludwig‐Soret Effect on the Thermally Induced Phase Separation Process in Polymer Solutions: A Computational Study","year":2008,"lang":"en","type":"article","venue":"Macromolecular Theory and Simulations","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Thermophoresis; Dimensionless quantity; Thermodynamics; Binary number; Polymer; Phase (matter); Separation process; Temperature gradient; Thermal; Statistical physics; Materials science; Chemistry; Physics; Chromatography; Mathematics; Quantum mechanics; Organic chemistry","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":[0.0004103538,0.000311968,0.0006713076,0.0005107771,0.0005520252,0.000581648,0.0005781064,0.0006720742,0.001945925],"category_scores_gemma":[0.0008095294,0.0002442633,0.0004779721,0.0005562209,0.0005746624,0.0007784917,0.0003626955,0.0005032478,0.00009458935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006943654,"about_ca_system_score_gemma":0.0008848301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005448373,"about_ca_topic_score_gemma":0.002888732,"domain_scores_codex":[0.9999493,0.00001487321,0.000002250117,0.000006683205,0.00001125655,0.00001562278],"domain_scores_gemma":[0.999642,0.0002530579,0.00002871321,0.00002376297,0.00002894705,0.00002348471],"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":[0.00008424142,0.00007020226,0.001199956,0.0000691587,0.00001821255,0.0001123554,0.00003964586,0.9789509,0.002860841,0.01367541,0.0001770753,0.002741917],"study_design_scores_gemma":[0.00001727463,0.00001577512,0.0001619962,0.000002017634,0.000003779131,0.000004780696,0.00000734285,0.9982589,0.0007822666,0.0006573777,0.00008511185,0.000003369277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794472,0.0002291565,0.01496782,0.0001438966,0.00001734531,0.00002727182,0.00008556848,0.00005584953,0.005025828],"genre_scores_gemma":[0.9945899,0.0001418054,0.004371892,0.00002725997,0.00000554148,0.00003416239,0.00004720141,0.00001284943,0.0007693286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005448373,"threshold_uncertainty_score":0.01083332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573798909594114,"score_gpt":0.3033670155188117,"score_spread":0.2876290264228706,"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."}}