{"id":"W1999888586","doi":"10.1145/2767003","title":"Double bubbles sans toil and trouble","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Intel Corporation; Adobe Systems; National Science Foundation","keywords":"Soap bubble; Surface tension; Curvature; Soap film; Bubble; Discretization; Mechanics; Physics; Geometry; Mathematics; Mathematical analysis","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":[0.0005340765,0.0006460937,0.0005655274,0.0007684449,0.001202407,0.002071054,0.0006949535,0.001271123,0.01589196],"category_scores_gemma":[0.004277504,0.0004585578,0.0005074319,0.0003270931,0.001679167,0.003254613,0.002622125,0.001805276,0.003113899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005252333,"about_ca_system_score_gemma":0.0005131392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071846,"about_ca_topic_score_gemma":0.003223742,"domain_scores_codex":[0.9995914,0.00006832956,0.00002231845,0.00007863537,0.0001892184,0.00005010481],"domain_scores_gemma":[0.9987862,0.0003951091,0.00009875584,0.0002643847,0.0002781139,0.0001775868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005171257,0.00006901344,0.005837786,0.0005969617,0.00005935463,0.001980227,0.002804637,0.03602087,0.0264291,0.5967282,0.06341056,0.2655463],"study_design_scores_gemma":[0.00008035508,0.0001601061,0.001380518,0.0003383291,0.00004477708,0.002077313,0.001347984,0.1947428,0.02095397,0.2469203,0.5318258,0.0001278857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1451504,0.009890616,0.6464943,0.01474416,0.006055837,0.0001666312,0.0009812083,0.008856549,0.1676602],"genre_scores_gemma":[0.7008595,0.003100364,0.1899149,0.001797712,0.0007747851,0.0001376127,0.0006826023,0.0032485,0.09948398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01589196,"threshold_uncertainty_score":0.05316395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05415141585764779,"score_gpt":0.3021380790099223,"score_spread":0.2479866631522746,"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."}}