{"id":"W4247426574","doi":"10.1145/1882261.1866165","title":"Optical computing for fast light transport analysis","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Krylov subspace; Computer science; Subspace topology; Subroutine; Computer graphics (images); Eigenvalues and eigenvectors; Matrix (chemical analysis); Computer vision; Generalized minimal residual method; Computation; Algorithm; Computational science; Artificial intelligence; Physics; Iterative method","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845279,0.0002095441,0.0002721062,0.0009940659,0.0004321285,0.0001441285,0.001238127,0.0001790758,0.00001445833],"category_scores_gemma":[0.00001446362,0.0002076606,0.0005406119,0.00277986,0.0000702683,0.0002495246,0.0000138688,0.0004270556,0.000001971561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008215936,"about_ca_system_score_gemma":0.0000433919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001120065,"about_ca_topic_score_gemma":0.0001743668,"domain_scores_codex":[0.9984542,0.00002394517,0.000371608,0.000541335,0.000301265,0.0003076118],"domain_scores_gemma":[0.9981238,0.0002466124,0.00008244489,0.001158726,0.0002320075,0.0001564303],"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":[0.00001022559,0.0003970141,0.001474785,0.00001997806,0.0003690606,0.000003461109,0.0004424692,0.0002400225,0.0006220156,0.96452,0.00007434978,0.03182667],"study_design_scores_gemma":[0.0008552722,0.0005233622,0.01791511,0.00002802008,0.0006077539,0.00001962936,0.00002522888,0.8812853,0.02504821,0.05980238,0.01292356,0.0009661972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0150702,0.000006595326,0.9823642,0.001143223,0.0004414478,0.0002590141,0.00001537038,0.0005920042,0.0001079415],"genre_scores_gemma":[0.8488814,0.00002056462,0.1504833,0.0004878778,0.0000439153,0.00003206474,0.00001225356,0.00001558476,0.00002307186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9047176,"threshold_uncertainty_score":0.8468152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763915069764635,"score_gpt":0.2945532454092734,"score_spread":0.276914094711627,"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."}}