{"id":"W3082415335","doi":"10.1103/physrevfluids.5.084006","title":"Retarding spreading of surfactant drops on solid surfaces: Interplay between the Marangoni effect and capillary flows","year":2020,"lang":"en","type":"article","venue":"Physical Review Fluids","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Marangoni effect; Capillary action; Pulmonary surfactant; Drop (telecommunication); Marangoni number; Solid surface; Mechanics; Materials science; Contact angle; Surface tension; Chemistry; Chemical physics; Composite material; Thermodynamics; Convection; Physics","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":[0.0001738716,0.0003683153,0.0002562462,0.0002133799,0.0001584953,0.0005107535,0.0001747163,0.0002703064,0.0006382302],"category_scores_gemma":[0.0004808541,0.0001573753,0.0001609525,0.0001373368,0.0003901402,0.0003829147,0.0002724578,0.0004306691,0.0001161046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186424,"about_ca_system_score_gemma":0.0002386247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005009341,"about_ca_topic_score_gemma":0.0005403282,"domain_scores_codex":[0.9998934,0.00002048909,0.00000476915,0.00001473687,0.00003697372,0.00002961615],"domain_scores_gemma":[0.9997415,0.0001306895,0.00005205092,0.00001049337,0.00002849958,0.00003672753],"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":[0.00003894083,0.00001176705,0.0001766235,0.00004054055,0.000003545679,0.00008856829,0.00002770458,0.0003917615,0.9956655,0.0006293044,0.00002215172,0.00290364],"study_design_scores_gemma":[0.00002054091,0.0002046521,0.001697176,0.000003964394,0.00001143567,0.0001495449,0.00002175519,0.01626547,0.9802642,0.0005347567,0.000811407,0.00001510061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897549,0.001557109,0.007109586,0.0001147805,0.00001992128,0.00001519701,0.00001641568,0.00004276152,0.001369378],"genre_scores_gemma":[0.997377,0.0008314994,0.001394813,0.00002360939,0.00001343915,0.00000691544,0.000009089524,0.00000709919,0.0003364662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006382302,"threshold_uncertainty_score":0.002135038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539267841550847,"score_gpt":0.3183512967151211,"score_spread":0.2929586182996127,"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."}}