{"id":"W2105798359","doi":"10.1109/icar.2005.1507488","title":"Real-time safety for human - robot interaction","year":2006,"lang":"en","type":"article","venue":"ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–robot interaction; Human–computer interaction; Robot; Artificial intelligence","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":[0.0007274724,0.0007748628,0.0003978979,0.0004459928,0.0005048629,0.0007675751,0.0008972505,0.0007883756,0.002483914],"category_scores_gemma":[0.002373395,0.0002114837,0.0003161127,0.0002201189,0.000794473,0.001029813,0.001415567,0.0007548508,0.0007318527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353213,"about_ca_system_score_gemma":0.0008258487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007733318,"about_ca_topic_score_gemma":0.0007419059,"domain_scores_codex":[0.9992669,0.0002001602,0.00003456213,0.0001117878,0.0003269896,0.00005961473],"domain_scores_gemma":[0.9987302,0.0005719363,0.0002076987,0.000133576,0.0002790029,0.00007751977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004574487,0.0001439289,0.0009834775,0.0002667742,0.0000432888,0.0003835047,0.0005838389,0.4984697,0.06749971,0.05688875,0.002660116,0.3716195],"study_design_scores_gemma":[0.00003643866,0.0004232156,0.0004275588,0.00003128118,0.00001993243,0.0002655163,0.00009929872,0.9380379,0.01856688,0.03410219,0.007961266,0.0000286284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01020828,0.0001825855,0.9870474,0.0001074091,0.00002579202,0.00002985399,0.000009609258,0.0003857248,0.002003353],"genre_scores_gemma":[0.7031233,0.0003278058,0.2914574,0.00009896429,0.00006269364,0.0001639257,0.00007757905,0.0001081247,0.004580202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002483914,"threshold_uncertainty_score":0.008309484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320424239163981,"score_gpt":0.3124402767305434,"score_spread":0.2792360343389036,"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."}}