{"id":"W4232737280","doi":"10.1109/vg.2005.194102","title":"Volume rendering for high dynamic range displays","year":2005,"lang":"en","type":"article","venue":"Volume graphics ...","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Michael G. DeGroote Institute for Infectious Disease Research, McMaster University","keywords":"Rendering (computer graphics); Volume rendering; Computer science; High dynamic range; Tone mapping; Computer graphics (images); Real-time rendering; Dynamic range; Computer vision; 3D rendering; Transfer function; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105014,0.0004437158,0.0003808565,0.0003291765,0.0003431485,0.001539559,0.0006272434,0.0004771067,0.006472753],"category_scores_gemma":[0.002114546,0.0002783508,0.0004922823,0.000330868,0.0006602989,0.000925168,0.0008041008,0.00124487,0.001187505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394888,"about_ca_system_score_gemma":0.0001941285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002546835,"about_ca_topic_score_gemma":0.0002929636,"domain_scores_codex":[0.9995623,0.0001101447,0.00001225622,0.00004348735,0.0002312925,0.00004047889],"domain_scores_gemma":[0.9993854,0.000377732,0.00003196256,0.0000916936,0.00008116386,0.00003210339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002300104,0.00008406954,0.0004602564,0.0003117696,0.00003101514,0.0003792928,0.0004239509,0.06590658,0.4215656,0.2035135,0.005976297,0.3011177],"study_design_scores_gemma":[0.0000709539,0.0001962687,0.001224452,0.00007212689,0.00003600539,0.001528423,0.00009162095,0.6142781,0.1699522,0.1520429,0.06042588,0.00008105486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01050045,0.0007506899,0.9801135,0.0001767248,0.00006390388,0.00003281873,0.00002186922,0.001285286,0.007054848],"genre_scores_gemma":[0.3893326,0.001786365,0.5987683,0.0001791402,0.0002311217,0.00009453658,0.0001299791,0.0009298314,0.008548088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006472753,"threshold_uncertainty_score":0.02165353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472528393600484,"score_gpt":0.2682188604999005,"score_spread":0.2534935765638957,"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."}}