{"id":"W2156396274","doi":"10.1109/tsmcb.2010.2058103","title":"Applications of Artificial Intelligence in Safe Human–Robot Interactions","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Workspace; Robot; Computer science; Artificial intelligence; Artificial neural network; Rendering (computer graphics); Set (abstract data type); Human–robot interaction; Robotics; Control engineering; 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":[0.001025536,0.0006903523,0.0005297821,0.0006364044,0.0005819245,0.001864781,0.0009005934,0.001773643,0.00276121],"category_scores_gemma":[0.002593978,0.0003126265,0.0005107209,0.0005931049,0.003076045,0.001848685,0.001521188,0.001315694,0.0005995401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006456117,"about_ca_system_score_gemma":0.0005855126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008379702,"about_ca_topic_score_gemma":0.0006196059,"domain_scores_codex":[0.9990973,0.0004224789,0.00004453205,0.00009532524,0.0002981155,0.00004223921],"domain_scores_gemma":[0.9987311,0.0009045294,0.00008197562,0.0001257048,0.0001182122,0.00003842534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009797703,0.00008917321,0.001312654,0.001038878,0.0001705952,0.0007064199,0.0007312742,0.1672636,0.009007918,0.5321644,0.006105514,0.2813117],"study_design_scores_gemma":[0.00002939497,0.0001393482,0.0009321084,0.0002479055,0.00003909159,0.0004143168,0.0003575504,0.2992755,0.004369879,0.6385598,0.05557615,0.00005898383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01526316,0.0218545,0.8907427,0.005256083,0.0006907768,0.0001013074,0.00004408574,0.0004105577,0.0656369],"genre_scores_gemma":[0.6737205,0.02284493,0.2906107,0.001247646,0.0008572208,0.000320557,0.00009569061,0.00009424202,0.01020864],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00276121,"threshold_uncertainty_score":0.00923717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249108356343648,"score_gpt":0.2669714836888807,"score_spread":0.2420606480545159,"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."}}