{"id":"W2057905323","doi":"10.1109/icsmc.2011.6083974","title":"Haptic and gesture-based interactions for manipulating geological datasets","year":2011,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Haptic technology; Rendering (computer graphics); Stereoscopy; Gesture; Terrain; Architecture; Virtual reality; Human–computer interaction; Virtual machine; Gesture recognition; Artificial intelligence; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005029449,0.0004026654,0.0002530292,0.0003188234,0.0002164633,0.0006831599,0.0006665543,0.0004824287,0.005187946],"category_scores_gemma":[0.001953887,0.0002230864,0.0003261166,0.0002713654,0.0004511173,0.001091544,0.001133624,0.0002746031,0.0004982831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008841811,"about_ca_system_score_gemma":0.0001528555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003141288,"about_ca_topic_score_gemma":0.0007113778,"domain_scores_codex":[0.9995017,0.0001125035,0.00002380022,0.00006281956,0.0002608899,0.0000382315],"domain_scores_gemma":[0.9991302,0.0005418942,0.0000754909,0.0001464853,0.00005822862,0.00004767854],"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":[0.0007518684,0.0001296337,0.001422469,0.0007745221,0.00008190924,0.0008870747,0.001129644,0.01266366,0.5594693,0.00778275,0.00241692,0.4124904],"study_design_scores_gemma":[0.0005926152,0.002375717,0.04073282,0.0004089595,0.0003188241,0.006426679,0.001263684,0.4181715,0.3798715,0.0194607,0.1299301,0.0004468199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09923184,0.0007259269,0.8903511,0.0001605935,0.0001089924,0.0001533369,0.0001741046,0.002335392,0.006758673],"genre_scores_gemma":[0.6315178,0.0005451543,0.3619569,0.000122132,0.00007581964,0.0001957133,0.0002162879,0.0001897232,0.005180408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005187946,"threshold_uncertainty_score":0.01735544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07548385023237532,"score_gpt":0.2571271968534051,"score_spread":0.1816433466210298,"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."}}