{"id":"W3186966533","doi":"10.1145/3450626.3459780","title":"Swept volumes via spacetime numerical continuation","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Autodesk","keywords":"Spacetime; Lift (data mining); Representation (politics); Continuation; Computer science; Algorithm; Constructive; Moment (physics); Set (abstract data type); Trajectory; Mathematics; Mathematical optimization; Geometry; Classical mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006380711,0.0001255914,0.0001583495,0.0001393153,0.000117006,0.00003674071,0.0001051703,0.00009948274,0.0002899025],"category_scores_gemma":[0.00001764159,0.0001383523,0.0001861676,0.0006075432,0.00002114124,0.00007847176,0.000001711994,0.0002610972,0.0001074607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002143086,"about_ca_system_score_gemma":0.00001188539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001549654,"about_ca_topic_score_gemma":0.0000501513,"domain_scores_codex":[0.9992898,0.000026638,0.0001656458,0.0001743414,0.0001736937,0.0001699105],"domain_scores_gemma":[0.999392,0.00006364927,0.00001427433,0.0003797185,0.00008091114,0.00006941681],"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":[0.00001146732,0.0002421,0.0002759727,0.0000495998,0.000574354,0.00002752721,0.0004519163,0.8209867,0.005628764,0.0001986316,0.001519636,0.1700334],"study_design_scores_gemma":[0.0002819378,0.00002853891,0.000349335,0.00002709254,0.0001836891,0.0000126851,0.00008951386,0.9838669,0.009927865,0.002014094,0.002924861,0.0002935051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02060991,0.0002744253,0.9773969,0.0007498531,0.0002025714,0.00003291856,0.0000119192,0.0003351956,0.0003863253],"genre_scores_gemma":[0.9948369,0.0002672155,0.004241589,0.0001817306,0.00003602561,0.00001219069,0.00002120035,0.0000283576,0.0003747878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.974227,"threshold_uncertainty_score":0.5641844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158228658487209,"score_gpt":0.2180971367990008,"score_spread":0.2065148502141287,"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."}}