{"id":"W1503648253","doi":"10.1007/978-3-540-31965-8_38","title":"Arbitrary 3D Resolution Discrete Ray Tracing of Implicit Surfaces","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Octree; Computer science; Rendering (computer graphics); Ray tracing (physics); Tree traversal; Ray casting; Algorithm; Subdivision; Floating point; Rounding; Distributed ray tracing; Computer graphics (images); Computational science; Physics","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":[0.0003989736,0.0004460868,0.000756846,0.000510302,0.000327679,0.001306743,0.001101448,0.0006544321,0.003021971],"category_scores_gemma":[0.002147006,0.000569356,0.0004856986,0.0007988863,0.0008488399,0.001025562,0.001605168,0.001858951,0.0006839865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000565329,"about_ca_system_score_gemma":0.0003772304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213653,"about_ca_topic_score_gemma":0.001561941,"domain_scores_codex":[0.9996403,0.00006972239,0.00001256238,0.00002544998,0.0002196277,0.00003231453],"domain_scores_gemma":[0.9993253,0.0003348535,0.00003727395,0.0001888899,0.00008351361,0.00003016637],"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":[0.0003775444,0.00008560317,0.0007336271,0.0003205471,0.00003724197,0.0002005014,0.0008868568,0.3381927,0.06685684,0.29628,0.003231297,0.2927972],"study_design_scores_gemma":[0.00002137511,0.00002335807,0.00009420334,0.00001918636,0.000005184159,0.0001036546,0.00003227514,0.9620429,0.01332327,0.01916908,0.005152153,0.00001342982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02241077,0.0002653959,0.9701262,0.00006738161,0.00003801699,0.00001683527,0.00003275763,0.0006517402,0.006390997],"genre_scores_gemma":[0.3770251,0.000548584,0.6131289,0.0000405969,0.00002594656,0.00004636599,0.0001228291,0.0004624925,0.008599234],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003021971,"threshold_uncertainty_score":0.01010954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654608491639984,"score_gpt":0.2756584222084578,"score_spread":0.2591123372920579,"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."}}