{"id":"W2159709716","doi":"10.1109/haptic.2012.6183776","title":"Conductive fur sensing for a gesture-aware furry robot","year":2012,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gesture; Computer science; Gesture recognition; Human–computer interaction; Robot; Set (abstract data type); Context (archaeology); Artificial intelligence; Motion (physics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001171152,0.00009781754,0.0001336039,0.00004514556,0.0001032315,0.00001563563,0.00004607571,0.0001208129,0.004494725],"category_scores_gemma":[0.00004531637,0.00008767818,0.00009792581,0.00006302436,0.0000298568,0.0001300531,0.0000142058,0.0001271928,0.0009494761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004191783,"about_ca_system_score_gemma":0.0000118334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398524,"about_ca_topic_score_gemma":0.00002924259,"domain_scores_codex":[0.9993032,0.00005054482,0.0001265493,0.000146515,0.00006186451,0.0003112838],"domain_scores_gemma":[0.9994345,0.0001929957,0.00005446823,0.0001359194,0.00008710981,0.00009506175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006436823,0.0008267614,0.008604199,0.00003176739,0.0007941046,0.00001049532,0.05954348,0.00001454901,0.009500003,0.2193101,0.640284,0.06043678],"study_design_scores_gemma":[0.003138544,0.0002868901,0.0759242,0.00003087531,0.0001514498,0.0002186748,0.1003804,0.0001567247,0.004040558,0.002391119,0.8123388,0.0009417432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1443218,0.0005086173,0.11578,0.006127787,0.0236631,0.001218532,0.00002637514,0.0006074325,0.7077464],"genre_scores_gemma":[0.9644446,0.000001011153,0.002061697,0.002367623,0.0009584425,0.00001989404,0.000009637349,0.00002232779,0.03011474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8201228,"threshold_uncertainty_score":0.9998284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303520631992835,"score_gpt":0.4412041899223449,"score_spread":0.3108521267230614,"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."}}