{"id":"W4200152982","doi":"10.1145/3478513.3480539","title":"FrictionalMonolith","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Quadratic growth; Quadratic equation; Inviscid flow; Minification; Computer science; Quadratic programming; Augmented Lagrangian method; Applied mathematics; Mathematical optimization; Algorithm; Mathematics; Classical mechanics; Physics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003601453,0.0006457824,0.0008815079,0.0003572018,0.0006751579,0.00133125,0.002150386,0.001481206,0.006777884],"category_scores_gemma":[0.001142526,0.000488217,0.0007772971,0.0003711609,0.0007352413,0.00128813,0.002193762,0.001264241,0.001158509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609289,"about_ca_system_score_gemma":0.002026714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003419129,"about_ca_topic_score_gemma":0.0047319,"domain_scores_codex":[0.9996886,0.00004307133,0.0000116471,0.00005660766,0.0001497145,0.00005041776],"domain_scores_gemma":[0.9997725,0.00006132697,0.00002851496,0.00004946797,0.0000479077,0.00004037381],"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":[0.00009175902,0.0000998656,0.001152797,0.0002091957,0.00006187623,0.0002841048,0.0001746441,0.8410475,0.01021736,0.09095233,0.007138837,0.0485697],"study_design_scores_gemma":[0.00001173752,0.00001488795,0.00006566672,0.000007911018,0.000003909432,0.00004296355,0.0000117612,0.9901358,0.001315809,0.004219449,0.004162753,0.000007336772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01948262,0.0001673584,0.9615319,0.0002663961,0.0001015614,0.00006949497,0.0002671347,0.001546791,0.01656672],"genre_scores_gemma":[0.4440392,0.0003371607,0.5346634,0.0003481788,0.00007623167,0.0003312542,0.0007710265,0.001159285,0.0182742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006777884,"threshold_uncertainty_score":0.02267426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575304495430186,"score_gpt":0.2270566887119022,"score_spread":0.2113036437576003,"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."}}