{"id":"W2073290147","doi":"10.1145/2601097.2601147","title":"From capture to simulation","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Deblurring; Fluid dynamics; Flow (mathematics); Tracking (education); Fluid queue; Operator (biology); Modular design; Algorithm; Computer vision; Artificial intelligence; Computational science; Image (mathematics); Image processing; Mathematics; Image restoration; Geometry; Physics","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":[0.0001604665,0.0001415975,0.0001228378,0.00039433,0.0001957295,0.000183862,0.0008812229,0.0001020979,0.00001491168],"category_scores_gemma":[0.00002987415,0.0001422974,0.0001006518,0.001037732,0.00001968311,0.0002340728,0.00002061072,0.0001738331,0.00002492447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001337839,"about_ca_system_score_gemma":0.00001469498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009450661,"about_ca_topic_score_gemma":0.00003138561,"domain_scores_codex":[0.9989261,0.00006933983,0.0001903381,0.0003862588,0.0002656082,0.0001623676],"domain_scores_gemma":[0.9983509,0.0002886065,0.00004338192,0.001073609,0.0001200335,0.000123429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001516729,0.0003009207,0.0001840794,0.0000100123,0.00005518896,0.000002059519,0.002324957,0.03374384,0.0001692226,0.8087174,0.001260394,0.1532168],"study_design_scores_gemma":[0.0001845535,0.0001695613,0.0007717206,0.00002636289,0.000009794361,7.940625e-7,0.000007887246,0.8026933,0.001663617,0.1586235,0.03557773,0.0002711632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0039373,0.000007349628,0.993409,0.001338447,0.0004868361,0.0001459414,0.000006776762,0.0005744261,0.00009396915],"genre_scores_gemma":[0.9467341,0.00001009311,0.04996712,0.003153548,0.00006418802,0.00002052889,0.000005780717,0.00001250551,0.00003211317],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9434418,"threshold_uncertainty_score":0.580272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270619986561468,"score_gpt":0.2973210179069352,"score_spread":0.2746148180413205,"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."}}