{"id":"W2248118266","doi":"10.36884/jafm.5.01.11955","title":"Numerical Investigation of Head-on Binary Drop Collisions in a Dynamically Inert Environment","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Fluid Mechanics","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Head (geology); Binary number; Drop (telecommunication); Mechanics; Inert; Inert gas; Materials science; Environmental science; Computer science; Geology; Physics; Composite material; Mathematics; Geomorphology; Telecommunications; Arithmetic","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":[0.0003587937,0.0001498937,0.000317282,0.0002168148,0.00002068802,0.00000642223,0.0001312428,0.0001339788,0.00002824367],"category_scores_gemma":[0.000006953783,0.0001358271,0.00008393162,0.0001909203,0.00001428785,0.00008731873,0.00001545879,0.0003357484,0.00001229545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052147,"about_ca_system_score_gemma":0.00002994793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002134603,"about_ca_topic_score_gemma":0.000001085937,"domain_scores_codex":[0.9987446,0.00001633443,0.0006010341,0.00007951764,0.000317257,0.0002412577],"domain_scores_gemma":[0.9995501,0.00005408303,0.00005166266,0.0001424444,0.00002198728,0.0001797233],"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":[0.0001377193,0.0002033951,0.0001759505,0.00005968417,0.00004384555,0.000006589919,0.0004925625,0.1982355,0.7558925,0.04395496,0.000165183,0.0006320995],"study_design_scores_gemma":[0.001299275,0.0004769631,0.002531708,0.0001210611,0.00004916737,0.0000218783,0.00008313343,0.9685476,0.02297559,0.002545944,0.001070664,0.0002770135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418982,0.0002624807,0.05673399,0.0001406322,0.0002998257,0.000179559,0.00001006224,0.00001864715,0.000456567],"genre_scores_gemma":[0.994651,0.0005697487,0.004555407,0.00009699834,0.00007759946,0.000007014589,0.00000523493,0.00003429725,0.000002728796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7703121,"threshold_uncertainty_score":0.553887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009978973104666085,"score_gpt":0.2020889701655638,"score_spread":0.1921099970608977,"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."}}