{"id":"W2120294815","doi":"10.1111/j.1467-8659.2009.01695.x","title":"A Multidirectional Occlusion Shading Model for Direct Volume Rendering","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Norges Forskningsråd","keywords":"Rendering (computer graphics); Computer science; Opacity; Volume rendering; Computer graphics (images); Shading; Computation; Computer vision; Real-time rendering; Visualization; Artificial intelligence; Global illumination; Optics; Algorithm; Physics","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":[0.0004183791,0.0004883461,0.000368831,0.0003634224,0.0003029304,0.0008873541,0.000842782,0.0005484071,0.002089141],"category_scores_gemma":[0.001048351,0.0003340505,0.0006027541,0.0002845242,0.0005108465,0.0005982087,0.0007089796,0.0006727253,0.0003953503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007276789,"about_ca_system_score_gemma":0.0006601439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004647163,"about_ca_topic_score_gemma":0.004083341,"domain_scores_codex":[0.9997012,0.00005351943,0.000008883638,0.00002968643,0.0001801897,0.0000264601],"domain_scores_gemma":[0.9996986,0.0001195088,0.00003143783,0.00005336303,0.00006786927,0.00002912433],"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":[0.0001253427,0.00007465846,0.0006604418,0.00006573788,0.0000184651,0.000168107,0.0003402884,0.8664476,0.03002549,0.05790965,0.00172401,0.04244018],"study_design_scores_gemma":[0.000004114288,0.000006769021,0.00003936757,0.000001510785,0.000001498446,0.00001566769,0.00000272031,0.9967536,0.001008289,0.00138954,0.0007739498,0.000002917067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0171481,0.0001001936,0.9794591,0.0000581488,0.00002492662,0.00003026849,0.0000362535,0.0003678496,0.002775128],"genre_scores_gemma":[0.7349395,0.0003770701,0.2553251,0.00007240325,0.00007968118,0.0001198882,0.0001555788,0.0004541078,0.00847673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004647163,"threshold_uncertainty_score":0.00924021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108702833833186,"score_gpt":0.2798838550543775,"score_spread":0.2587968267160456,"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."}}