{"id":"W2047676578","doi":"10.1109/haptics.2008.4479972","title":"Evaluating ALPHAN: A Communication Protocol for Haptic Interaction","year":2008,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; University of Ottawa","funders":"","keywords":"Computer science; Haptic technology; Protocol (science); XML; Communications protocol; Layer (electronics); Human–computer interaction; Computer network; Simulation; World Wide Web","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":[0.01545887,0.001510658,0.0007190076,0.001520411,0.0007353033,0.001761175,0.002022861,0.001139276,0.002230874],"category_scores_gemma":[0.05397799,0.0004370083,0.0004000007,0.0008678871,0.001092702,0.004001678,0.001677674,0.001403986,0.0005637752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702803,"about_ca_system_score_gemma":0.00177635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458349,"about_ca_topic_score_gemma":0.001313937,"domain_scores_codex":[0.9857125,0.006278187,0.001200787,0.000688776,0.005402989,0.0007167426],"domain_scores_gemma":[0.9572026,0.02681963,0.00274201,0.002885063,0.009118528,0.001232081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01276637,0.00838848,0.03163086,0.007257998,0.0006369286,0.001369761,0.002928972,0.1434145,0.2221189,0.01936751,0.01063524,0.5394844],"study_design_scores_gemma":[0.001500092,0.03317131,0.01622722,0.0005404696,0.0006418444,0.001674619,0.001894232,0.6640095,0.2445156,0.005017318,0.03045889,0.00034902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7330619,0.001382966,0.2446547,0.0004588046,0.0005183981,0.005052681,0.0005594885,0.003188338,0.01112273],"genre_scores_gemma":[0.8591659,0.0008242601,0.1322206,0.000157986,0.00007822897,0.001735982,0.0009304307,0.0004633479,0.004423262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01545887,"threshold_uncertainty_score":0.08175528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852607177650135,"score_gpt":0.4083728617657182,"score_spread":0.2231121440007046,"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."}}