{"id":"W2020916873","doi":"10.1115/imece2010-40717","title":"J-Strips: Haptic Joint Limit Warnings for Human-Robot Interaction","year":2010,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robot; STRIPS; Limit (mathematics); Computer science; Haptic technology; Human–robot interaction; Human–computer interaction; Domain (mathematical analysis); Simulation; Artificial intelligence; Mathematics","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":[0.0005484706,0.0005388768,0.0002023834,0.0002276785,0.0002204398,0.0004687492,0.0006831117,0.0007566336,0.0085101],"category_scores_gemma":[0.002609208,0.0001717098,0.0001527484,0.000107798,0.0006416677,0.0007939988,0.0007552879,0.0004652379,0.0008831052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173581,"about_ca_system_score_gemma":0.0002498356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000180501,"about_ca_topic_score_gemma":0.0003257593,"domain_scores_codex":[0.9997726,0.00007706002,0.00001160545,0.00002671833,0.00009284219,0.00001919204],"domain_scores_gemma":[0.9989945,0.0006479119,0.0001257955,0.00007685654,0.0000735433,0.00008133478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003789126,0.0007694134,0.002920633,0.001316332,0.00005284847,0.001674176,0.001350768,0.005720217,0.5123643,0.00995755,0.01058223,0.4495024],"study_design_scores_gemma":[0.002913918,0.02393744,0.05545396,0.0008937501,0.0004758682,0.01143346,0.002707521,0.2663232,0.4004201,0.04883472,0.1858622,0.0007439633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3018472,0.001866036,0.6582807,0.001439254,0.0005186851,0.0007483669,0.0003395443,0.01041609,0.0245441],"genre_scores_gemma":[0.8277515,0.0005430523,0.1643099,0.0005096305,0.0001153442,0.0003230134,0.000145057,0.0001519201,0.006150584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0085101,"threshold_uncertainty_score":0.02846915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0866948827010737,"score_gpt":0.414610749038152,"score_spread":0.3279158663370783,"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."}}