{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002761571,0.0007090864,0.0003769606,0.0005159169,0.0006503775,0.00191614,0.0009926519,0.0008703085,0.03964553],"category_scores_gemma":[0.001412932,0.0001611051,0.0002594205,0.0007563903,0.0009998817,0.001996435,0.00173534,0.001100551,0.009783659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363101,"about_ca_system_score_gemma":0.0007407841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219653,"about_ca_topic_score_gemma":0.001397945,"domain_scores_codex":[0.9994177,0.0001128646,0.00007581127,0.0001017804,0.0002161527,0.00007585206],"domain_scores_gemma":[0.9994167,0.00008792877,0.00008273744,0.0002069337,0.0001582124,0.00004756457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000522962,0.0001654586,0.001793963,0.0008998805,0.00002434506,0.001316098,0.001822454,0.007181583,0.05130509,0.4135458,0.1525289,0.3688934],"study_design_scores_gemma":[0.00006514852,0.0001689537,0.000809143,0.0001033114,0.00001428129,0.001433768,0.0003511904,0.01350135,0.02885,0.02321814,0.9314296,0.00005506424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06566682,0.001684872,0.4627137,0.004005992,0.004715528,0.0004014044,0.005968254,0.01322285,0.4416206],"genre_scores_gemma":[0.5950118,0.001587619,0.1842784,0.001610395,0.0004920358,0.0004622601,0.006444581,0.001938476,0.2081744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03964553,"threshold_uncertainty_score":0.1326275,"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."}}