{"id":"W3210980152","doi":"","title":"A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC).","year":2021,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational fluid dynamics; Polyhedron; Bottleneck; Piecewise linear function; Position (finance); Computational complexity theory; Volume fraction; Algorithm; Computer science; Mathematics; Geometry; Physics; Mechanics","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":[0.0007177586,0.001100602,0.001131524,0.0006627379,0.0005274683,0.001038107,0.002842825,0.001688246,0.005570685],"category_scores_gemma":[0.002435727,0.0006575251,0.001021076,0.0008012902,0.0006689685,0.001883921,0.001957158,0.003278112,0.001813126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315639,"about_ca_system_score_gemma":0.002201478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009131374,"about_ca_topic_score_gemma":0.01167393,"domain_scores_codex":[0.9996551,0.00005955412,0.00001977982,0.00009754573,0.0001068404,0.00006106037],"domain_scores_gemma":[0.9994897,0.0001878674,0.00004885563,0.00007005779,0.0001498738,0.00005366018],"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":[0.0001763972,0.0001599102,0.001431771,0.0002181522,0.0001191954,0.0001096104,0.00008651506,0.5004139,0.003371204,0.02763805,0.02419458,0.4420807],"study_design_scores_gemma":[0.000008840491,0.00001826763,0.00003784206,0.000009380798,0.00000632069,0.00001638449,0.000005042168,0.9929804,0.0005238635,0.004874928,0.001515068,0.000003665461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006583958,0.000834182,0.9871764,0.000431775,0.0001451876,0.00006582185,0.0002376062,0.002106521,0.002418642],"genre_scores_gemma":[0.2607392,0.001268545,0.7187052,0.001141933,0.0001720029,0.0006027727,0.00248524,0.0005866904,0.01429852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009131374,"threshold_uncertainty_score":0.01863581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09301818647450365,"score_gpt":0.3453158350330443,"score_spread":0.2522976485585406,"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."}}