{"id":"W3135248361","doi":"10.47839/ijc.6.2.443","title":"HAPTIC HUMAN INTERFACES FOR ROBOTIC TELEMANIPULATION","year":2014,"lang":"en","type":"article","venue":"International Journal of Computing","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Haptic technology; Stylus; Computer science; Virtual reality; Human–computer interaction; Artificial intelligence; Set (abstract data type); Interface (matter); Telerobotics; Computer vision; Modalities; Tactile sensor; Robot; Mobile robot","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332602,0.00007433126,0.0001259706,0.0001887947,0.0001119914,0.0001216334,0.0003298626,0.00002138471,0.00002605889],"category_scores_gemma":[0.000755952,0.00006731287,0.000106114,0.0000448504,0.00002424888,0.0002733906,0.00003312419,0.0001449295,0.00001028905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005608119,"about_ca_system_score_gemma":0.00001334129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003622263,"about_ca_topic_score_gemma":0.000002549293,"domain_scores_codex":[0.9990242,0.00005709759,0.000428166,0.0001070981,0.0002760856,0.0001073502],"domain_scores_gemma":[0.998531,0.0006439934,0.0004714417,0.00006098322,0.0002532522,0.0000393489],"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":[0.00005829367,0.0001045455,0.0004330397,0.000008370331,0.00004342126,0.0000111993,0.000569801,0.05557784,0.9086584,0.01598892,0.0004489198,0.01809726],"study_design_scores_gemma":[0.001612189,0.0005859763,0.005043204,0.0003316991,0.00004869446,0.001133099,0.0002116559,0.5021212,0.4692031,0.009573672,0.009845728,0.0002898047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7529475,0.000001416867,0.2430445,0.0004878241,0.002120744,0.00004954205,5.788841e-7,0.00001644016,0.001331381],"genre_scores_gemma":[0.9971412,0.000001141468,0.001437089,0.0003384379,0.0009456695,4.375452e-7,8.129924e-7,0.0000101581,0.0001250911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4465433,"threshold_uncertainty_score":0.2744939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06930091849334949,"score_gpt":0.3583709956554827,"score_spread":0.2890700771621332,"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."}}