{"id":"W2094316534","doi":"10.1016/j.ijmultiphaseflow.2013.06.004","title":"Coalescence of sessile droplets of varying viscosities for line printing","year":2013,"lang":"en","type":"article","venue":"International Journal of Multiphase Flow","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Education, Science and Technology","keywords":"Breakup; Coalescence (physics); Dimensionless quantity; Materials science; Viscosity; Fabrication; Mechanics; Nanotechnology; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856431,0.00008396019,0.0002108404,0.0001652511,0.00001332874,0.00002646141,0.0003372119,0.00004802694,0.00004956248],"category_scores_gemma":[0.0001807143,0.00007330901,0.00009618174,0.00003738794,0.00004038099,0.0002027746,0.0000493045,0.00007579396,0.000001467096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002590147,"about_ca_system_score_gemma":0.00001858467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001789458,"about_ca_topic_score_gemma":8.630287e-7,"domain_scores_codex":[0.999106,0.000008842423,0.0005484599,0.00005230077,0.0001872233,0.00009714934],"domain_scores_gemma":[0.9990007,0.0001347584,0.0002607798,0.0000741325,0.0005077568,0.00002188952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004351699,0.00006316572,0.0008250739,0.000133553,0.0001425936,0.000005962755,0.0001586592,0.0779821,0.8836529,0.00007323057,0.0001517771,0.03676749],"study_design_scores_gemma":[0.0007747673,0.00007117659,0.0005792589,0.0004096885,0.00001176655,0.00003018774,0.00005354083,0.1597463,0.8377684,0.0002943344,0.0001852526,0.00007538422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972573,0.0001590688,0.1015757,0.00008266237,0.0007248622,0.00009383728,0.00002923738,0.00003583374,0.00004155941],"genre_scores_gemma":[0.9032212,0.00006212232,0.09654169,0.000005955034,0.0001417395,0.000004724736,0.000002452585,0.00001186896,0.00000818056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08176417,"threshold_uncertainty_score":0.2989455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371130514971042,"score_gpt":0.2546071427304083,"score_spread":0.2408958375806979,"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."}}