{"id":"W3116000608","doi":"","title":"Simulation and rendering for millions of grass blades.","year":2015,"lang":"es","type":"article","venue":"Didáctica Lengua y Literatura","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Shader; Computer graphics (images); Computer science; Animation; Rendering (computer graphics); OpenGL; Vertex (graph theory); Frame rate; Computer animation; Computational science; Simulation; Artificial intelligence; Visualization; Graph; Theoretical computer science","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":[0.0001842921,0.0005404091,0.0003980041,0.0003835523,0.0003483456,0.0006200691,0.0006553558,0.0007041415,0.008452893],"category_scores_gemma":[0.0007130784,0.0002699394,0.000458283,0.0005627134,0.0002772496,0.0006640077,0.0007522574,0.0005344768,0.0014826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015817,"about_ca_system_score_gemma":0.0003034556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002061949,"about_ca_topic_score_gemma":0.003625032,"domain_scores_codex":[0.9998875,0.00002119786,0.000008786065,0.00001817957,0.00005201058,0.00001239485],"domain_scores_gemma":[0.9998533,0.00007133147,0.000009117194,0.00003480568,0.00001782727,0.00001364672],"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":[0.000229181,0.0001579765,0.003893885,0.001391304,0.0002589224,0.0009526272,0.001185493,0.58275,0.08858551,0.07433134,0.05641421,0.1898496],"study_design_scores_gemma":[0.00007513205,0.00004576339,0.001685542,0.00009002872,0.00003318174,0.0005273262,0.0001471011,0.8395027,0.01027202,0.03091526,0.1166699,0.00003599653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04754626,0.001867236,0.9095449,0.0005941382,0.0004250684,0.0001159093,0.002401956,0.006015148,0.03148937],"genre_scores_gemma":[0.2764194,0.001612345,0.7060651,0.0001813554,0.00006000576,0.0002000929,0.00305923,0.001233658,0.01116882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008452893,"threshold_uncertainty_score":0.02827775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06154602476685226,"score_gpt":0.356652273537346,"score_spread":0.2951062487704937,"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."}}