{"id":"W2161859773","doi":"10.1109/hpcs.2006.40","title":"Seismic Tomography as a High Performance Application","year":2006,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Visualization; Java; Ray tracing (physics); Tomography; Reflection (computer programming); Computer graphics (images); Code (set theory); Domain decomposition methods; Computational science; Artificial intelligence; Programming language; Engineering; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000344438,0.0004815921,0.0002927941,0.000428671,0.0004521527,0.001291424,0.0008712922,0.000627331,0.0073758],"category_scores_gemma":[0.001069254,0.0002285675,0.0002104859,0.001203689,0.0003947244,0.001080803,0.001069001,0.0006126235,0.002088431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359528,"about_ca_system_score_gemma":0.0004329692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094842,"about_ca_topic_score_gemma":0.001102578,"domain_scores_codex":[0.9996206,0.00009110157,0.00001500276,0.00006211728,0.0001817246,0.00002949759],"domain_scores_gemma":[0.999619,0.0001732617,0.0000167898,0.00006230859,0.00008910622,0.00003945468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009946789,0.0001962048,0.00686944,0.000536792,0.0001150597,0.001500194,0.0006115464,0.10961,0.182059,0.1147043,0.04843476,0.534368],"study_design_scores_gemma":[0.0001276767,0.0002368459,0.003671836,0.00007510995,0.00008752131,0.001356218,0.0002955744,0.6837177,0.07880368,0.04933581,0.1822344,0.00005756771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05619795,0.0008276858,0.9023258,0.00141746,0.0001583296,0.00009647087,0.0003512182,0.0100798,0.02854524],"genre_scores_gemma":[0.5222067,0.001435919,0.46281,0.0002826446,0.000195774,0.0001143583,0.000733282,0.0005806763,0.01164064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0073758,"threshold_uncertainty_score":0.02467453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006306123226558689,"score_gpt":0.262592193543465,"score_spread":0.2562860703169063,"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."}}