{"id":"W2295533521","doi":"10.1109/iros.1994.407384","title":"Deictic teleassistance","year":2002,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; University of Rochester","keywords":"Computer science; Teleoperation; Artificial intelligence; Robot; Computer vision; Context (archaeology); Voice command device; Task (project management); Human–computer interaction; Utterance; Speech recognition; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006205132,0.00004728321,0.00005802639,0.00003227566,0.0000419054,0.00008069645,0.0002714113,0.00002160888,0.0002864751],"category_scores_gemma":[0.00001736814,0.00003717453,0.00002442378,0.0002156064,0.000008235356,0.0002174723,0.00002931119,0.00003718764,0.002604295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001081064,"about_ca_system_score_gemma":0.000003179123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001756451,"about_ca_topic_score_gemma":0.000003645746,"domain_scores_codex":[0.9994854,0.00002395677,0.00008984218,0.0001510838,0.0001309084,0.0001188067],"domain_scores_gemma":[0.9995819,0.00004956602,0.00002154077,0.0002544851,0.00003756036,0.00005499442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.67717e-7,0.0001752809,0.001764246,0.00003085124,0.00002938725,0.00007287307,0.001170262,0.00008649113,0.0003669991,0.1174221,0.05950338,0.8193772],"study_design_scores_gemma":[0.000438027,0.00005735419,0.002938452,0.00003337234,0.000003496959,0.0001233888,0.00003851724,0.2216775,0.001325087,0.002134689,0.7708341,0.0003959419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004453863,0.000175405,0.7661535,0.0007599508,0.000220376,0.00004310048,1.55382e-7,0.000220192,0.2319819],"genre_scores_gemma":[0.9742388,0.000006390161,0.01513693,0.0004936467,0.00005199423,0.000007450415,5.659293e-8,0.000002439423,0.01006229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9737934,"threshold_uncertainty_score":0.9981723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643036749550389,"score_gpt":0.19943055602492,"score_spread":0.1730001885294161,"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."}}