{"id":"W4407404911","doi":"10.1109/icsidp62679.2024.10868240","title":"An Efficient and Precise Parallel Implementation Scheme for 3D Stolt Interpolation","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Interpolation (computer graphics); Computer science; Scheme (mathematics); Parallel computing; Computational science; Algorithm; Computer graphics (images); Mathematics; Animation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003589379,0.0004189119,0.0003896547,0.0004799348,0.0005036002,0.0005671637,0.0009818415,0.000362036,0.002640824],"category_scores_gemma":[0.001119466,0.0002783511,0.0005359851,0.00069874,0.0003606617,0.0009861501,0.0009833926,0.001025254,0.0009659243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606007,"about_ca_system_score_gemma":0.00102213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685576,"about_ca_topic_score_gemma":0.002442988,"domain_scores_codex":[0.9996771,0.00003605683,0.00002356008,0.00003641339,0.000199822,0.00002701534],"domain_scores_gemma":[0.999632,0.00006498397,0.00003611268,0.0001041188,0.0001396466,0.00002309015],"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":[0.0003298975,0.000160466,0.002924681,0.0002450806,0.00008393821,0.0003270168,0.0004243561,0.3256959,0.1258143,0.07182224,0.006618295,0.4655538],"study_design_scores_gemma":[0.0000188949,0.00004812991,0.0001840839,0.000006742152,0.000007304584,0.0001165543,0.00001518617,0.9704993,0.01898116,0.003442558,0.006658919,0.00002110163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005930809,0.00003593108,0.991516,0.00003883183,0.00002975889,0.00003107459,0.00003292558,0.0006755344,0.001709042],"genre_scores_gemma":[0.1285172,0.0001052961,0.8690147,0.00004422723,0.00002326847,0.00009892895,0.000209445,0.0001895476,0.00179737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002640824,"threshold_uncertainty_score":0.008834422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009038658073765414,"score_gpt":0.3243279734350411,"score_spread":0.3152893153612756,"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."}}