{"id":"W2114823921","doi":"10.1109/iros.2011.6095047","title":"Experimental investigation of human-robot cooperative carrying","year":2011,"lang":"en","type":"article","venue":"2011 IEEE/RSJ International Conference on Intelligent Robots and Systems","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robot; Human–computer interaction; Task (project management); Computer science; Object (grammar); Human–robot interaction; Domain (mathematical analysis); Artificial intelligence; Controller (irrigation); Simulation; Engineering; Systems 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":[0.0001609852,0.0001956282,0.0002320092,0.0001865719,0.00008181296,0.00006904727,0.0001791269,0.00008904262,0.0008971211],"category_scores_gemma":[0.000008030768,0.0001825992,0.00004728664,0.00005058139,0.00008204018,0.0001881064,0.00002233439,0.0001704308,0.00008458365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006720085,"about_ca_system_score_gemma":0.00001702164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003336727,"about_ca_topic_score_gemma":0.00001077006,"domain_scores_codex":[0.9988387,0.00005999127,0.0004654211,0.0002190728,0.0002658132,0.0001510525],"domain_scores_gemma":[0.9994248,0.00002365267,0.0001265091,0.0001366381,0.0001914639,0.00009691915],"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":[0.00007060063,0.0001233381,0.01102423,0.0001638217,0.0003886594,0.00001372487,0.0191906,0.2737596,0.4103837,0.282657,0.001222898,0.001001821],"study_design_scores_gemma":[0.0005679194,0.0004633732,0.006806663,0.000611151,0.00002497548,0.00002397078,0.006037338,0.6792225,0.3051011,0.0002915544,0.0002009299,0.0006485201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418282,0.0005295326,0.06124655,0.0000452838,0.004328747,0.0006592701,0.000009390976,0.0002581711,0.09109485],"genre_scores_gemma":[0.9987927,0.00005311761,0.0001393379,0.00002178446,0.0001135168,0.00003595794,0.0000249602,0.00002368829,0.0007949471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.405463,"threshold_uncertainty_score":0.9822847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947359131917058,"score_gpt":0.3105763779885645,"score_spread":0.1158404647968587,"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."}}