{"id":"W3107258788","doi":"10.1145/3414685.3417798","title":"Monolith","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inviscid flow; Solver; Linear complementarity problem; Computer science; Slip (aerodynamics); Newtonian fluid; Minification; Viscosity; Monolith; Mathematical optimization; Mechanics; Materials science; Algorithm; Mathematics; Physics; Chemistry; Thermodynamics; Composite material","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":[0.00002860572,0.0001453366,0.0001173545,0.0001107278,0.0001890908,0.00002688481,0.0001764417,0.00009156408,0.0002782985],"category_scores_gemma":[0.00001515133,0.0001510608,0.0001282204,0.0004928405,0.0000273532,0.000181735,0.000001421301,0.0003683059,0.0002241897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002527117,"about_ca_system_score_gemma":0.00001167742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000146719,"about_ca_topic_score_gemma":0.00003424757,"domain_scores_codex":[0.9993364,0.00001552209,0.0001738169,0.0001622613,0.0001352792,0.0001767865],"domain_scores_gemma":[0.9994137,0.00008670862,0.00001326105,0.0002977243,0.00003898032,0.0001496494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002254917,0.0007417678,0.003418615,0.0003585027,0.001339466,0.0000525804,0.0122513,0.8356141,0.01598942,0.006454527,0.05057038,0.07298385],"study_design_scores_gemma":[0.00186438,0.0007764807,0.009593516,0.0001121203,0.0003632125,0.0000613525,0.002442626,0.2700895,0.05109844,0.009212364,0.6523272,0.002058789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.123624,0.000189991,0.8644599,0.004084612,0.001268451,0.0002132149,0.00007431145,0.001961531,0.004123955],"genre_scores_gemma":[0.9969029,0.0006544522,0.001639805,0.0005643367,0.00006433193,0.00002138339,0.000004578435,0.00003807434,0.0001101112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.873279,"threshold_uncertainty_score":0.6160081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543811302523735,"score_gpt":0.2218710829785127,"score_spread":0.1964329699532753,"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."}}