{"id":"W2898565081","doi":"10.1115/fedsm2018-83282","title":"Numerical Analysis of Droplet Impact on a Smooth Slippery Surface","year":2018,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lubricant; Volume of fluid method; Wetting; Materials science; Dimple; Oil droplet; Mechanics; Viscosity; Volume (thermodynamics); Air layer; Composite material; Layer (electronics); Thermodynamics; Chemistry; Flow (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":[0.0002775884,0.0005160858,0.0006588154,0.000525875,0.0006395119,0.0008207154,0.0007423374,0.001733594,0.002176262],"category_scores_gemma":[0.001285499,0.0002617353,0.0005882381,0.0004579467,0.0007931046,0.0004663297,0.0007386623,0.0006409052,0.000149417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007764617,"about_ca_system_score_gemma":0.0008811594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01384564,"about_ca_topic_score_gemma":0.005740876,"domain_scores_codex":[0.9998438,0.00002834939,0.000007778904,0.00002261676,0.0000430102,0.00005439027],"domain_scores_gemma":[0.9994664,0.000298777,0.00006403437,0.00002512973,0.00008275102,0.00006299263],"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":[0.00007103766,0.00005767075,0.002759746,0.00006187109,0.00002317466,0.0003539589,0.00007413777,0.9876609,0.004006604,0.002865132,0.0002442645,0.001821437],"study_design_scores_gemma":[0.000005759386,0.00001383269,0.0003151844,0.000002952478,0.000002174311,0.000008665797,0.00002099944,0.9991273,0.0002261972,0.0001743676,0.00009904437,0.000003517367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408333,0.0005124661,0.04109027,0.0004839868,0.0001262574,0.0001083952,0.0004884561,0.0002290169,0.01612786],"genre_scores_gemma":[0.9888337,0.0001240577,0.00823049,0.00005851364,0.00001742183,0.00007849024,0.0002038818,0.00003314421,0.002420183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01384564,"threshold_uncertainty_score":0.02753013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007325728159067576,"score_gpt":0.2410591076229385,"score_spread":0.2337333794638709,"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."}}