{"id":"W1972332889","doi":"10.1177/0278364905057856","title":"Local Model of Interaction for Haptic Manipulation of Rigid Virtual Worlds","year":2005,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Haptic technology; Computer science; Virtual machine; Contact force; Kinesthetic learning; Human–computer interaction; Rigid body; Simulation; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001078131,0.00005891345,0.000139517,0.0003378931,0.0000281059,0.00003166061,0.00037988,0.00004011334,0.00003150274],"category_scores_gemma":[0.000113106,0.00004439075,0.00008687848,0.00009585149,0.00006539343,0.0001867223,0.00003022987,0.0002251575,0.000005783761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804931,"about_ca_system_score_gemma":0.0000673422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009150809,"about_ca_topic_score_gemma":0.00003217251,"domain_scores_codex":[0.9984708,0.00004045342,0.000556933,0.00004664271,0.0007792273,0.0001059074],"domain_scores_gemma":[0.9981746,0.0003012653,0.0001354237,0.00009437406,0.001257809,0.00003652589],"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":[0.00009204332,0.00003850154,0.00003087395,0.00001503773,0.0001062191,4.721871e-7,0.0005625573,0.9577817,0.01927316,0.01436068,0.0007431973,0.006995569],"study_design_scores_gemma":[0.0004007705,0.00008536704,0.00007491167,0.00008409526,0.000007943153,0.00002530283,0.0004735258,0.9880962,0.009626541,0.0005669245,0.0005214887,0.00003688097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.112374,0.00008428575,0.8850406,0.001062842,0.0005309226,0.0001303771,0.000006948674,0.000007405507,0.0007626227],"genre_scores_gemma":[0.9939098,0.00004924936,0.005378411,0.00001207431,0.0003125768,0.000002607367,0.000002614296,0.00001319828,0.0003195181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8815357,"threshold_uncertainty_score":0.1810202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224265546929753,"score_gpt":0.3792892516574808,"score_spread":0.2568626969645055,"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."}}