{"id":"W2951510002","doi":"10.1007/978-3-030-22514-8_6","title":"Improved Volume Scattering","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Volume (thermodynamics); Computer graphics (images); Physics; Thermodynamics","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":[0.000506243,0.00137691,0.001316214,0.001479863,0.0007911639,0.001801479,0.00110337,0.001003071,0.02052265],"category_scores_gemma":[0.001023018,0.0006123407,0.0009425549,0.001530462,0.000826703,0.001746823,0.002383139,0.002397171,0.0060669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006567871,"about_ca_system_score_gemma":0.0003952043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004303376,"about_ca_topic_score_gemma":0.0004780648,"domain_scores_codex":[0.9991547,0.0001450168,0.00002520949,0.0001319938,0.0004690239,0.00007394544],"domain_scores_gemma":[0.9995121,0.0001089363,0.00002630726,0.0001658698,0.0001316638,0.00005507787],"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":[0.0004841911,0.000183749,0.0004825391,0.0003484827,0.0001029991,0.0002480205,0.0002210046,0.02770522,0.1950488,0.4787909,0.03569123,0.2606929],"study_design_scores_gemma":[0.0001047999,0.0001932395,0.001292294,0.00011488,0.0001177873,0.001626156,0.0001159632,0.2838743,0.2329016,0.2991091,0.1803683,0.0001816396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03180007,0.004549217,0.7557987,0.001148358,0.002491763,0.00008418429,0.0004403082,0.003572156,0.2001153],"genre_scores_gemma":[0.3839091,0.005036415,0.3607337,0.0008140887,0.001419979,0.0001455673,0.00150314,0.003634359,0.2428037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02052265,"threshold_uncertainty_score":0.06865513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505881675681403,"score_gpt":0.2603575716939293,"score_spread":0.2452987549371153,"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."}}