{"id":"W4311802607","doi":"10.1145/3550454.3555510","title":"Progressive Simulation for Cloth Quasistatics","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Computer science; Polygon mesh; Computer graphics; Intersection (aeronautics); Folding (DSP implementation); Graphics; Computer graphics (images); Fidelity; High fidelity; Sequence (biology); Computer simulation; Simulation; Computational science; Algorithm; Mechanical engineering; Engineering","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":[0.00009627314,0.00009326015,0.00009831848,0.0001919593,0.0003697911,0.00001848035,0.0001324745,0.00003165486,0.00006009892],"category_scores_gemma":[0.00001256125,0.000104454,0.0001481956,0.0003799188,0.00001468651,0.00004300829,0.000001750249,0.0001918748,0.000002218932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003760663,"about_ca_system_score_gemma":0.000009096329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003142917,"about_ca_topic_score_gemma":0.000006537233,"domain_scores_codex":[0.9994077,0.00001782188,0.0001553341,0.00012013,0.000162017,0.0001369713],"domain_scores_gemma":[0.9994723,0.0001824739,0.00002227137,0.0002463314,0.00004154012,0.00003506308],"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":[0.00001632381,0.00005234767,0.000005977528,0.00002082176,0.00008148295,8.915339e-7,0.0002081671,0.9898766,0.00002032511,0.0001172332,0.00009776781,0.009502006],"study_design_scores_gemma":[0.0003388573,0.00008125867,0.000008843476,0.00000444133,0.00009582414,0.000001139584,0.000176112,0.99372,0.0001272418,0.00323542,0.002085237,0.0001256111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0157603,0.0001399511,0.9831009,0.0001674705,0.0002266341,0.0001824763,0.0001246039,0.0002641925,0.00003345531],"genre_scores_gemma":[0.9937973,0.0000256711,0.005697275,0.00008298646,0.00002081345,0.0002438187,0.0000364191,0.00003163407,0.00006410458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.978037,"threshold_uncertainty_score":0.425951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807424702678372,"score_gpt":0.27308272246014,"score_spread":0.2450084754333563,"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."}}