{"id":"W2753339267","doi":"","title":"Exploiting Coherence and Data-driven Models for Real-time Global Illumination","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coherence (philosophical gambling strategy); Computer science; Remote sensing; Geography; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000964492,0.0005586258,0.0004369152,0.0004946138,0.0003157023,0.001345497,0.001157364,0.000886564,0.002515284],"category_scores_gemma":[0.003438612,0.0004499738,0.0007133934,0.0005114741,0.001077731,0.001775453,0.00109279,0.001243956,0.000407639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391352,"about_ca_system_score_gemma":0.00103544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005040349,"about_ca_topic_score_gemma":0.004377128,"domain_scores_codex":[0.9996383,0.00009404138,0.00001691468,0.000067662,0.0001456372,0.00003744984],"domain_scores_gemma":[0.9985517,0.0009143316,0.0001567751,0.0001666141,0.0001626327,0.00004799947],"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":[0.00004453509,0.00004351062,0.0006374203,0.00008298086,0.00002383364,0.00007286115,0.0001428493,0.8663574,0.006261377,0.1127632,0.0006979008,0.0128721],"study_design_scores_gemma":[0.000003293438,0.00000772326,0.00003741889,0.000002443786,0.000002101347,0.000007393196,0.000005803296,0.9936939,0.0004356027,0.005425213,0.0003761208,0.000002950808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01249734,0.0001136041,0.9841972,0.0002605323,0.00002451688,0.00003723234,0.00007701144,0.0001813277,0.002611222],"genre_scores_gemma":[0.7515749,0.0005700852,0.2387179,0.0002199787,0.00005622575,0.0003252052,0.0002629462,0.0002594666,0.008013288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9949597,"threshold_uncertainty_score":0.010095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059437548003463,"score_gpt":0.2187048385589488,"score_spread":0.2081104630789141,"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."}}