{"id":"W7000537633","doi":"","title":"Fast Marching-Cubes-Style Volume Evaluation for Level Set Surfaces","year":2022,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Marching cubes; Fast marching method; Computation; Volume (thermodynamics); Isosurface; Set (abstract data type); Surface (topology)","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":[0.0007758319,0.00009627184,0.0001415223,0.0002496519,0.0005163267,0.00005048557,0.000875955,0.00002990708,0.00007177576],"category_scores_gemma":[0.00000680425,0.0001233447,0.0001024816,0.0003652505,0.00004501297,0.0002777675,0.0007233614,0.00008156578,0.000002945663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006442538,"about_ca_system_score_gemma":0.00007869049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290257,"about_ca_topic_score_gemma":0.0009391824,"domain_scores_codex":[0.9988459,0.0001522031,0.00009045866,0.0003196396,0.0004135848,0.0001781927],"domain_scores_gemma":[0.9992389,0.00003561272,0.0001255637,0.0003494883,0.0001995946,0.0000508264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002111143,0.0008101078,0.01280349,0.0003040711,0.000328484,0.00002349774,0.4120424,0.02153582,0.004291702,0.2475212,0.1057385,0.1943896],"study_design_scores_gemma":[0.0005506978,0.0003393346,0.003355265,0.000009160282,0.00001843208,0.000005823754,0.005364539,0.9812927,0.0003788055,0.003196426,0.005297042,0.0001917995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5111818,0.00002566058,0.4867781,0.001263484,0.0001460812,0.0003744635,0.00007622745,0.0001247957,0.00002939364],"genre_scores_gemma":[0.9251285,0.00001137344,0.05186498,0.00006575257,0.00001896102,0.000004821669,0.00009953129,0.00001187134,0.02279421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9597569,"threshold_uncertainty_score":0.5029851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189927068517935,"score_gpt":0.261576345454565,"score_spread":0.2196770747693857,"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."}}