{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002349789,0.0001923369,0.0003444886,0.000162539,0.00001971974,0.00002704089,0.0001428327,0.0001477584,0.00004568965],"category_scores_gemma":[0.00002453504,0.0001811142,0.0001110196,0.0001236802,0.00002583311,0.0001450939,0.0000130127,0.0005930703,0.000004082167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438826,"about_ca_system_score_gemma":0.00001856734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005259831,"about_ca_topic_score_gemma":0.000006925695,"domain_scores_codex":[0.9989747,0.000004905875,0.0004535992,0.00009152667,0.0002310231,0.000244193],"domain_scores_gemma":[0.9995146,0.00005972311,0.00002658466,0.0001715612,0.0000767232,0.0001508489],"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":[0.00001640745,0.0000241182,0.000497713,0.0001939795,0.00006846142,0.00002860167,0.0001527354,0.2349077,0.7623586,0.0008025165,0.0004322105,0.000516944],"study_design_scores_gemma":[0.001865179,0.0003985596,0.0112076,0.0006045834,0.000102819,0.0004106378,0.00003774333,0.8163985,0.1644207,0.0001452998,0.003740493,0.000667887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889933,0.0002818345,0.008764252,0.00006070023,0.001138597,0.00005685453,0.00001082605,0.000047279,0.0006463092],"genre_scores_gemma":[0.9950302,0.0003367318,0.00435765,0.00001216881,0.0001740249,6.387222e-7,0.0000010037,0.00005779694,0.00002981591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5979379,"threshold_uncertainty_score":0.7385624,"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."}}