{"id":"W1851634808","doi":"10.1111/cgf.12622","title":"Compressive Volume Rendering","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Rendering (computer graphics); Pixel; Volume rendering; Computer vision; Compressed sensing; Artificial intelligence; Tiled rendering; Image-based modeling and rendering; 3D rendering; Algorithm; Computer graphics (images); Computer graphics; Software rendering","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":[0.0007381999,0.0007078335,0.0006722619,0.0006011322,0.0003485524,0.001618512,0.0007730161,0.0007551389,0.006500429],"category_scores_gemma":[0.004710525,0.0002409103,0.0004703639,0.0004923543,0.0009732832,0.001065708,0.001438426,0.001038586,0.0007953331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565289,"about_ca_system_score_gemma":0.0006076136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824421,"about_ca_topic_score_gemma":0.001626774,"domain_scores_codex":[0.9992068,0.0001338319,0.00002153792,0.00008456832,0.0004869398,0.00006623445],"domain_scores_gemma":[0.9984529,0.0008837997,0.0001021867,0.000288775,0.0002159292,0.00005634967],"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":[0.0007598643,0.0002204604,0.001646382,0.0004561204,0.00008901599,0.0004587789,0.0003303477,0.4756811,0.1868594,0.05155204,0.01016354,0.271783],"study_design_scores_gemma":[0.0001029878,0.0002036295,0.0005833228,0.00005059721,0.00002202445,0.0004868641,0.00006158217,0.9220509,0.05071005,0.01534216,0.0103416,0.00004441024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05758141,0.000711459,0.9205245,0.0004634307,0.0001761368,0.0002032614,0.0002603719,0.002339124,0.0177403],"genre_scores_gemma":[0.681107,0.0007138134,0.3114287,0.000216209,0.0001319972,0.0001159026,0.0003792005,0.0002733109,0.005633792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006500429,"threshold_uncertainty_score":0.0217461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654488222403422,"score_gpt":0.2199995201014553,"score_spread":0.1934546378774211,"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."}}