{"id":"W2989303993","doi":"10.3390/pr7110798","title":"Numerical Simulations of Polymer Solution Droplet Impact on Surfaces of Different Wettabilities","year":2019,"lang":"en","type":"article","venue":"Processes","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wetting; Viscoelasticity; Polystyrene; Materials science; Rheology; Hysteresis; Contact angle; Newtonian fluid; Volume of fluid method; Polymer; Mechanics; Non-Newtonian fluid; Phase (matter); Substrate (aquarium); Thermodynamics; Composite material; Chemistry; Flow (mathematics); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002535912,0.0004274537,0.0006406674,0.0004919413,0.0004816293,0.0006026602,0.0007259899,0.001477744,0.001870833],"category_scores_gemma":[0.0009897315,0.0002581211,0.0005865322,0.0004807495,0.0005261909,0.0004286812,0.0004764755,0.0005966062,0.0001788664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007935702,"about_ca_system_score_gemma":0.0006697614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006620908,"about_ca_topic_score_gemma":0.003415067,"domain_scores_codex":[0.9998599,0.00002441621,0.000008550275,0.00001937145,0.00004850542,0.00003918746],"domain_scores_gemma":[0.9995479,0.0002605981,0.00004733467,0.00003408153,0.00006949052,0.00004065441],"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":[0.00005424693,0.00005835274,0.0008951615,0.00004038188,0.00001402856,0.0001147157,0.00006702116,0.9866471,0.008155483,0.001947283,0.00009998969,0.001906244],"study_design_scores_gemma":[0.000007073578,0.00001971716,0.0001362052,0.00000216883,0.000002036177,0.000008319013,0.000009697154,0.9984202,0.001069482,0.0001799288,0.0001415095,0.000003603986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8883696,0.0003430749,0.09449135,0.0003122179,0.0001049768,0.0001919308,0.0006899373,0.0002938406,0.01520305],"genre_scores_gemma":[0.9716413,0.0001912966,0.02352918,0.00005739318,0.00001332142,0.0002610857,0.0003490352,0.00004389879,0.00391347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006620908,"threshold_uncertainty_score":0.01316476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007218290129921015,"score_gpt":0.227194932948212,"score_spread":0.219976642818291,"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."}}