{"id":"W4285228733","doi":"10.1109/lra.2022.3189190","title":"Reduced Interface Models for Haptic Interfacing With Virtual Environments","year":2022,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interfacing; Haptic technology; Computer science; Interface (matter); Virtual machine; Rendering (computer graphics); Simulation; Computation; Virtual reality; Human–computer interaction; Computer graphics (images); Computer hardware; Algorithm","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":[0.0005181415,0.0006467797,0.0004954384,0.0004298114,0.0002214324,0.0008903773,0.001374823,0.0009458434,0.003166578],"category_scores_gemma":[0.002179225,0.0003657525,0.0009303945,0.0002094247,0.0004652131,0.001074502,0.0008281881,0.001111537,0.0009548095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696737,"about_ca_system_score_gemma":0.0004663648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799988,"about_ca_topic_score_gemma":0.001620761,"domain_scores_codex":[0.9994443,0.0001511504,0.00002473706,0.00005281271,0.0002926186,0.00003427094],"domain_scores_gemma":[0.9994512,0.0002492127,0.00006541982,0.0001024326,0.0001113767,0.00002036021],"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":[0.0001348732,0.0000807707,0.0003994527,0.000200996,0.00004093225,0.0001436895,0.0003331146,0.8721827,0.02643104,0.04866154,0.001419269,0.04997152],"study_design_scores_gemma":[0.000005181717,0.00002830831,0.00004568227,0.000004319935,0.000003901876,0.00001969723,0.000008299192,0.9955923,0.0009378169,0.001855429,0.001493256,0.000005798386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006415873,0.0001174457,0.9912726,0.0000406404,0.00003006514,0.0000275047,0.00003022518,0.0004301405,0.001635418],"genre_scores_gemma":[0.6389062,0.0005435352,0.3495553,0.0001111234,0.00005293294,0.0004082704,0.0003085398,0.0003774923,0.009736471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003166578,"threshold_uncertainty_score":0.0105933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309304969888212,"score_gpt":0.2019718164107318,"score_spread":0.1888787667118496,"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."}}