{"id":"W2023758054","doi":"10.1145/1111411.1111440","title":"Variance shadow maps","year":2006,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":211,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Variance (accounting); Shadow (psychology); Computer science; Computer graphics (images); Computer vision; Artificial intelligence; Economics; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009490217,0.00005969372,0.0000557567,0.00007620934,0.00005403733,0.0001626185,0.0004774674,0.00002538293,0.00001793153],"category_scores_gemma":[0.000001770709,0.00005348453,0.00003087242,0.0003636991,0.00001137928,0.0002235148,0.0001393826,0.00003217413,0.00002387236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006378026,"about_ca_system_score_gemma":0.00001340925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122293,"about_ca_topic_score_gemma":0.00001359991,"domain_scores_codex":[0.9994513,0.00001409022,0.0001137234,0.0001920632,0.0001139167,0.0001149052],"domain_scores_gemma":[0.9995727,0.00001545836,0.00002784565,0.0003112876,0.00004924136,0.00002348238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[1.00704e-7,0.0000200442,0.000397987,0.000001258047,7.748145e-7,0.000001733664,0.000007598717,0.000002553239,0.00004904068,0.9761779,0.02033457,0.003006439],"study_design_scores_gemma":[0.0001107526,0.00003541614,0.004853529,0.000006626747,8.23707e-7,0.000008528368,6.616375e-7,0.1750553,0.005524016,0.7191205,0.09509815,0.0001857191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001228165,0.00003166842,0.965228,0.0003695301,0.0001077504,0.00004803335,4.278787e-7,0.0006837744,0.03340801],"genre_scores_gemma":[0.7650319,0.000009179872,0.2314766,0.001013664,0.0001020116,0.00001009495,0.000004316169,0.000006060407,0.002346178],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7649091,"threshold_uncertainty_score":0.2181036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152939271094596,"score_gpt":0.2557991643127615,"score_spread":0.2442697716018155,"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."}}