{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220067,0.001157632,0.0008688701,0.001150497,0.0006479455,0.002511435,0.00245162,0.001039134,0.009509272],"category_scores_gemma":[0.006702286,0.0006267211,0.00116687,0.001132534,0.0008485125,0.001691194,0.002217765,0.002103725,0.004363211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003233,"about_ca_system_score_gemma":0.00150793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198213,"about_ca_topic_score_gemma":0.004429766,"domain_scores_codex":[0.9985726,0.0002024223,0.00005947108,0.00007878728,0.001000949,0.00008570829],"domain_scores_gemma":[0.9981177,0.0007225907,0.0001111593,0.0003042764,0.0006607707,0.00008357115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001619296,0.00008450763,0.00125257,0.000541786,0.0001176403,0.0002789408,0.0003572075,0.4886633,0.01684517,0.1326365,0.02538901,0.3336713],"study_design_scores_gemma":[0.00002262149,0.00001816059,0.00007776016,0.00002655398,0.000006891465,0.00007679268,0.00002488969,0.9539977,0.008979388,0.02500983,0.01174105,0.00001839056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002118651,0.0001070203,0.9926175,0.00008624396,0.00005245713,0.00004883712,0.000181058,0.002409035,0.002379165],"genre_scores_gemma":[0.09990248,0.0003422751,0.890875,0.0001375344,0.00006776475,0.0003310285,0.0009352083,0.003928114,0.003480557],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009509272,"threshold_uncertainty_score":0.03181165,"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."}}