{"id":"W167307853","doi":"10.1007/978-3-642-31401-8_44","title":"A Feasibility Study of Levels-of-Detail in Point-Based Haptic Rendering","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Rendering (computer graphics); Finite element method; Computer graphics (images); Computation; Representation (politics); Haptic technology; Computer vision; Computational science; Artificial intelligence; Algorithm","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":[0.001631713,0.0004726697,0.0004977503,0.0004411497,0.0003337825,0.001491651,0.0009972051,0.00084844,0.007671898],"category_scores_gemma":[0.01194068,0.0003720371,0.0004875073,0.000423174,0.0005746221,0.00169643,0.0008875939,0.0006042361,0.0004676366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278799,"about_ca_system_score_gemma":0.000374484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067993,"about_ca_topic_score_gemma":0.000448567,"domain_scores_codex":[0.9986564,0.0004015822,0.00004894094,0.0001099556,0.0006670269,0.0001160393],"domain_scores_gemma":[0.9884384,0.009616172,0.0003090076,0.0005756172,0.0009002713,0.0001606652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007144191,0.000924785,0.004083297,0.001753227,0.00007898575,0.001201599,0.001601792,0.07607092,0.7394863,0.02109975,0.001138993,0.1454162],"study_design_scores_gemma":[0.000489613,0.004831797,0.006624795,0.0001646508,0.0001437429,0.001662335,0.0006643741,0.7555199,0.2206293,0.004573571,0.004584929,0.0001109525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.559988,0.001213938,0.4227849,0.0002460344,0.00009067631,0.0004758138,0.0002281606,0.000801746,0.0141707],"genre_scores_gemma":[0.9469002,0.0001971903,0.05161384,0.00001682619,0.00001116678,0.00004195669,0.00005292919,0.00006914599,0.001096755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007671898,"threshold_uncertainty_score":0.02566504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716966931053727,"score_gpt":0.2772039070924904,"score_spread":0.2400342377819531,"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."}}