{"id":"W2034104715","doi":"10.1145/1957656.1957736","title":"Exploring sketching for robot collaboration","year":2011,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Affordance; Robot; Human–computer interaction; Task (project management); Computer science; Human–robot interaction; Task analysis; Artificial intelligence; Engineering; Systems engineering","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":[0.001597736,0.0008412309,0.0007247308,0.0006430632,0.0008564171,0.002057592,0.001352766,0.001339039,0.005992224],"category_scores_gemma":[0.007058497,0.0007155723,0.001089115,0.0005808934,0.002228146,0.004525636,0.004533572,0.001232922,0.0009201558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004596903,"about_ca_system_score_gemma":0.0006522848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007407527,"about_ca_topic_score_gemma":0.0009565841,"domain_scores_codex":[0.9985032,0.0007389451,0.0001006474,0.0003131882,0.0002741426,0.00006984868],"domain_scores_gemma":[0.9965916,0.002202937,0.0001730001,0.0006933223,0.0001815929,0.0001575387],"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":[0.0003848015,0.0001359301,0.001591718,0.001281765,0.0001636273,0.0008127778,0.004659432,0.2038487,0.04556099,0.3310895,0.003707565,0.4067631],"study_design_scores_gemma":[0.0001097171,0.0002530188,0.0005428244,0.0001547051,0.00007921376,0.0007921652,0.00108309,0.5421388,0.01555926,0.3750286,0.06416789,0.00009069577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01631286,0.0008452538,0.9774294,0.000318528,0.00003446404,0.00004444578,0.00004291717,0.0007052248,0.004266927],"genre_scores_gemma":[0.3469413,0.001203644,0.6482433,0.00007538277,0.00003667905,0.0001438513,0.0001877117,0.0001838516,0.002984281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005992224,"threshold_uncertainty_score":0.020046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3447951611985202,"score_gpt":0.2892048689617702,"score_spread":0.05559029223675005,"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."}}