{"id":"W1969072796","doi":"10.1115/1.4001695","title":"Maximum Spread of Droplet on Solid Surface: Low Reynolds and Weber Numbers","year":2010,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dissipation; Reynolds number; Mechanics; Drop (telecommunication); Kinetic energy; Weber number; Solid surface; Physics; Volume (thermodynamics); Viscous liquid; Classical mechanics; Materials science; Thermodynamics","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":[0.0002287838,0.000468812,0.000436916,0.0005694241,0.0002825128,0.0007383233,0.000754658,0.0008463322,0.0006956619],"category_scores_gemma":[0.00114095,0.0002278034,0.000562117,0.0002460226,0.0007317453,0.001603353,0.0004496929,0.0003703289,0.0001578126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005305745,"about_ca_system_score_gemma":0.000352777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009471014,"about_ca_topic_score_gemma":0.0004617672,"domain_scores_codex":[0.9998566,0.00001779979,0.000005821161,0.00003037226,0.00005888558,0.00003050745],"domain_scores_gemma":[0.9997141,0.0001484597,0.00004503232,0.00002404774,0.00004905809,0.00001924497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009639614,0.0000778549,0.003492712,0.0001837763,0.00001753849,0.0009884496,0.0001822999,0.802642,0.1162959,0.06163789,0.0004744897,0.01391068],"study_design_scores_gemma":[0.000005526609,0.00002612875,0.0003432911,0.000004873002,0.000003449313,0.0000899614,0.00001356221,0.9869028,0.007859694,0.004595706,0.0001473712,0.000007644845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6001509,0.000831111,0.388059,0.0002316738,0.00003899658,0.00004965081,0.00006550878,0.0002407359,0.01033246],"genre_scores_gemma":[0.9930112,0.0002505366,0.005609718,0.00001416742,0.00001532576,0.00001728129,0.00002722036,0.00001717138,0.001037491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009471014,"threshold_uncertainty_score":0.003849566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003329247420835528,"score_gpt":0.1943836651053448,"score_spread":0.1910544176845092,"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."}}