{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000553853,0.0003291543,0.0007159481,0.0007049137,0.00002429613,0.00001540459,0.0007010677,0.0001538639,0.0000244616],"category_scores_gemma":[0.00008587684,0.0003083192,0.00009892098,0.0005923882,0.0002989279,0.0001750861,0.0002127343,0.000542662,0.000001499723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003451,"about_ca_system_score_gemma":0.0000562926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003613907,"about_ca_topic_score_gemma":0.0002572959,"domain_scores_codex":[0.9979459,0.00002450265,0.0006632613,0.0005198815,0.0005029698,0.0003434689],"domain_scores_gemma":[0.9986324,0.000266659,0.0001735755,0.0007659825,0.00009213111,0.00006920676],"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":[0.00001401178,0.000214434,0.004195516,0.0002424549,0.00002584707,0.00001614405,0.0008461686,0.7020473,0.00391458,0.0001041251,4.856212e-7,0.288379],"study_design_scores_gemma":[0.0007322133,0.0004872837,0.008468643,0.0008388688,0.00005639782,0.00000558742,0.000003035106,0.9364645,0.02272268,0.02922671,0.00002327585,0.0009707776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01577616,0.0003618344,0.9829715,0.00001211227,0.0001189855,0.0003839075,0.000004288763,0.0001244759,0.0002467539],"genre_scores_gemma":[0.8874325,0.000005368049,0.1124714,0.00001936784,0.00003109964,0.000006560095,7.231316e-7,0.00002822595,0.000004697716],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8716564,"threshold_uncertainty_score":0.9999369,"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."}}