{"id":"W2611366544","doi":"10.14288/1.0344007","title":"Data-driven design of expressive robot hands and hand gestures : applications for collaborative human-robot interaction","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gesture; Human–computer interaction; Human–robot interaction; Robot; Computer science; Social robot; Artificial intelligence; Communication; Psychology; Robot control; Mobile robot","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":[0.0002137381,0.00004904468,0.000269532,0.00004900894,0.0009036982,0.0004860799,0.001082122,0.00008649538,0.000004600977],"category_scores_gemma":[0.0000488852,0.0001349626,0.00003930419,0.0001056113,0.0003279604,0.001218124,0.0004343491,0.00007226874,0.000002001631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002261385,"about_ca_system_score_gemma":0.0000821416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004183107,"about_ca_topic_score_gemma":0.02816749,"domain_scores_codex":[0.9990413,0.00007398066,0.0001433548,0.000451563,0.0001570071,0.0001328392],"domain_scores_gemma":[0.9979796,0.0001420258,0.0004838857,0.0007844281,0.000532299,0.00007773826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005826713,0.0004458452,0.004227292,0.0004785828,0.0003862676,0.00004555055,0.00391768,0.0006061574,0.02483903,0.0001201468,0.01672335,0.9481518],"study_design_scores_gemma":[0.004248585,0.0004759674,0.9737352,0.0006554075,0.0001320849,0.00007739749,0.002606837,0.01220053,0.0002611868,0.001580049,0.003548233,0.0004785786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06247174,0.0001255509,0.9353549,0.0001219694,0.00009655485,0.000984621,0.000465353,0.00003378691,0.0003455006],"genre_scores_gemma":[0.9768038,0.00005429739,0.02280607,0.000008203285,0.00003941109,0.0000108184,0.00004680677,0.0000065342,0.0002240398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9695079,"threshold_uncertainty_score":0.9895659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05795255809722117,"score_gpt":0.2678073932160098,"score_spread":0.2098548351187886,"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."}}