{"id":"W2962930898","doi":"10.1145/3306346.3323004","title":"Surface2Volume","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Partition (number theory); Robustness (evolution); Computer science; Segmentation; Surface (topology); Topology (electrical circuits); Algorithm; Computational science; Theoretical computer science; Mathematics; Geometry; Artificial intelligence; Combinatorics","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":[0.0009413666,0.002003205,0.001446992,0.001721392,0.001326562,0.005104589,0.004683031,0.002365191,0.1717125],"category_scores_gemma":[0.003335631,0.00128244,0.002622679,0.001708904,0.0009995169,0.004375209,0.004554777,0.002413825,0.05853299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012561,"about_ca_system_score_gemma":0.001505143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106766,"about_ca_topic_score_gemma":0.005270358,"domain_scores_codex":[0.9988289,0.0001184917,0.00007621085,0.0002464536,0.0005954847,0.0001344156],"domain_scores_gemma":[0.9990286,0.0002439886,0.00004837781,0.0003455704,0.0002520949,0.00008139661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003660856,0.0001433708,0.001375625,0.001136188,0.000120392,0.0003274487,0.0003414637,0.05490989,0.01149974,0.1854225,0.367626,0.3767314],"study_design_scores_gemma":[0.0001114233,0.0000551222,0.0003825398,0.0001053094,0.00002790922,0.0003254462,0.00009284469,0.1852951,0.009708287,0.09889028,0.7049418,0.00006394287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003536401,0.0008634466,0.7818154,0.0007159976,0.0005690342,0.0003703143,0.007814246,0.0904597,0.1138555],"genre_scores_gemma":[0.08563382,0.001629997,0.7356114,0.001055513,0.0002758053,0.001159766,0.0409648,0.04979798,0.0838709],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1717125,"threshold_uncertainty_score":0.5744356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102531356278288,"score_gpt":0.2018709403881403,"score_spread":0.1916178047603115,"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."}}