{"id":"W2524241018","doi":"10.1177/1729881416658167","title":"Modeling of physical human–robot interaction","year":2016,"lang":"en","type":"article","venue":"International Journal of Advanced Robotic Systems","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval","funders":"","keywords":"Admittance; Computer science; Payload (computing); Robot; Controller (irrigation); Transparency (behavior); Simulation; Human–robot interaction; Vibration; Control engineering; Human–computer interaction; Artificial intelligence; Engineering","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":[0.0001550577,0.0001152769,0.0003018192,0.0002129978,0.00001766643,0.00003102346,0.0002552246,0.00003913773,0.00001523367],"category_scores_gemma":[0.00005947486,0.00007899733,0.0001312004,0.00005488849,0.00001849466,0.0004334514,0.00001502205,0.00009045305,0.00001494705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784782,"about_ca_system_score_gemma":0.00001911817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009411986,"about_ca_topic_score_gemma":0.000002508791,"domain_scores_codex":[0.9986184,0.00003134604,0.0007157568,0.00008030846,0.0004474215,0.0001067664],"domain_scores_gemma":[0.9989884,0.00008783394,0.0002210949,0.0001048799,0.000537423,0.00006034192],"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":[0.0000162922,0.00002767769,0.00009764907,0.00002024662,0.000131803,0.000007434136,0.0002094042,0.8416519,0.15395,0.00161925,0.00003037024,0.002237987],"study_design_scores_gemma":[0.001719347,0.0001752865,0.0001595993,0.001766812,0.00003170555,0.0004404667,0.0009792552,0.9859129,0.007759272,0.0001789557,0.0006630442,0.0002133942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3759681,0.0003190934,0.6144392,0.0001061808,0.007627615,0.0001197143,0.000004765309,0.00005665255,0.001358699],"genre_scores_gemma":[0.9983956,0.00003140856,0.0004996031,0.000004869245,0.000930862,0.000003644066,0.000001005786,0.0000213398,0.0001117068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6224275,"threshold_uncertainty_score":0.3221417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950290453300785,"score_gpt":0.2832351581452705,"score_spread":0.2637322536122627,"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."}}