{"id":"W1511002530","doi":"10.1109/sbac-pad.2004.13","title":"Combining a Shared-Memory High Performance Computer and a Heterogeneous Cluster for the Simulation of Light Interaction with Human Skin","year":2004,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cluster (spacecraft); Graphics; Shared memory; Computer graphics; Parallel computing; Computer cluster; Supercomputer; Software; Process (computing); Computational science; Human–computer interaction; Distributed computing; Computer architecture; Computer graphics (images); Operating system","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":[0.0001463034,0.0001064153,0.0001212947,0.0001114071,0.0001850032,0.0001493731,0.0002570456,0.00003401831,0.000002017814],"category_scores_gemma":[0.000001627046,0.00006996754,0.00003255274,0.0001715788,0.00003139613,0.0003767386,0.0001497708,0.00005520086,3.09011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001673016,"about_ca_system_score_gemma":0.00001349684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003377527,"about_ca_topic_score_gemma":0.00002419657,"domain_scores_codex":[0.9993094,0.00001714796,0.0002103217,0.0002232624,0.0001295281,0.0001103017],"domain_scores_gemma":[0.9993559,0.0000976635,0.0001260187,0.0002562428,0.0001379869,0.00002618385],"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":[0.0001679953,0.0004098903,0.001325774,0.0002989802,0.0001778733,0.000003084238,0.009491691,0.6312082,0.0005204781,0.2447135,0.0002000646,0.1114825],"study_design_scores_gemma":[0.000707649,0.0006675755,0.002207066,0.00008160686,0.000007445477,0.00001478305,0.000008607607,0.9832403,0.01175756,0.001027337,0.0001657899,0.0001142933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2669986,0.00001041458,0.7323884,0.0001611786,0.00006069271,0.0002737576,5.669573e-7,0.00008731261,0.00001904239],"genre_scores_gemma":[0.9753659,0.000005472154,0.02422703,0.0003119856,0.00004031987,0.000026231,0.000003779323,0.000008461592,0.00001085138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7083673,"threshold_uncertainty_score":0.2853194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711393198123868,"score_gpt":0.2831875598758999,"score_spread":0.2660736278946613,"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."}}