{"id":"W2161343533","doi":"10.1109/icegic.2009.5293575","title":"Haptic display of 3D liquids for interactive applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Haptic technology; Computer science; Visualization; Rendering (computer graphics); Fluid simulation; Focus (optics); Computer graphics (images); Virtual reality; Stereotaxy; Human–computer interaction; Computer graphics; Simulation; Artificial intelligence; Mechanics","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":[0.0006656525,0.0007865851,0.0004845778,0.000503219,0.0003346765,0.001648355,0.0009665056,0.0009710774,0.01493976],"category_scores_gemma":[0.002327984,0.0003186323,0.0005449028,0.0003126754,0.000502234,0.001392335,0.002822691,0.0006362221,0.001609647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002322615,"about_ca_system_score_gemma":0.0002073217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002294279,"about_ca_topic_score_gemma":0.0002477024,"domain_scores_codex":[0.999621,0.0001068722,0.00001628757,0.00002241655,0.0001967391,0.00003660611],"domain_scores_gemma":[0.999267,0.0004461331,0.00004261875,0.00009898673,0.00008310912,0.00006201075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008612045,0.0001045403,0.0005671309,0.001199948,0.00006190444,0.002188436,0.001619598,0.02369487,0.7158902,0.02800919,0.02445417,0.2013489],"study_design_scores_gemma":[0.0005899601,0.001492809,0.0029072,0.0005031103,0.0001842212,0.00540622,0.0007377893,0.3336594,0.3200684,0.03391844,0.3001592,0.0003733511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04380231,0.002987897,0.928638,0.001616141,0.0004568697,0.0001410642,0.0003147633,0.008720559,0.01332235],"genre_scores_gemma":[0.608803,0.004096909,0.3653515,0.001595345,0.0006761039,0.0003982031,0.0005236757,0.001315199,0.01724011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01493976,"threshold_uncertainty_score":0.04997844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008926591783151654,"score_gpt":0.2495164409349437,"score_spread":0.2405898491517921,"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."}}