{"id":"W3194646877","doi":"10.1021/acs.langmuir.1c01274","title":"Phase Separation of an Evaporating Ternary Solution in a Hele-Shaw Cell","year":2021,"lang":"en","type":"article","venue":"Langmuir","topic":"Fluid Dynamics and Thin Films","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"H2020 European Research Council; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canada Research Chairs","keywords":"Ternary operation; Instability; Nucleation; Marangoni effect; Evaporation; Thermodynamics; Separation process; Chemistry; Hele-Shaw flow; Viscous fingering; Phase (matter); Work (physics); Materials science; Chemical physics; Chemical engineering; Chromatography; Surface tension; Porous medium; Mechanics; Organic chemistry; Physics; Reynolds number","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006060828,0.00005181732,0.00007812298,0.00003551893,0.00001328626,0.00001049722,0.00003696437,0.00004108616,0.00002197459],"category_scores_gemma":[0.000003916735,0.000057571,0.00001834267,0.0001122699,0.000004773327,0.0001041423,0.00001133009,0.0000621583,0.000007420951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002073533,"about_ca_system_score_gemma":0.000009180651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004294114,"about_ca_topic_score_gemma":0.0001465886,"domain_scores_codex":[0.9996331,0.00001421712,0.000128168,0.00007540075,0.00006158128,0.00008756073],"domain_scores_gemma":[0.9998508,0.000006346205,0.00001680842,0.00009106133,0.00001714168,0.00001782671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001034924,0.0002675969,0.0007173152,0.0001615907,0.000008640589,0.0000772454,0.00125785,0.02358695,0.9688538,0.0006710358,0.000305851,0.004081774],"study_design_scores_gemma":[0.00056837,0.00003713823,0.0006399659,0.00001719148,0.000003046485,0.000004069277,0.00006516888,0.9583557,0.03984682,0.0001299814,0.0002626009,0.0000699138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922833,0.0002276663,0.002742214,0.00001461089,0.0001102555,0.0000404686,0.00001614237,0.00005109863,0.004514253],"genre_scores_gemma":[0.9977313,0.000008555042,0.001919574,0.00001322275,0.00003860769,0.000004048141,0.0001369947,0.00001128776,0.0001364104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9347688,"threshold_uncertainty_score":0.2347677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009356160254519666,"score_gpt":0.2589922818616777,"score_spread":0.249636121607158,"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."}}