{"id":"W2115282423","doi":"10.1109/robot.2009.5152595","title":"A flexible robot skin for safe physical human robot interaction","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Robot; Robustness (evolution); Electrical conductor; Materials science; Fabrication; Computer science; Mechanical engineering; Engineering; Artificial intelligence; Composite material","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":[0.00018129,0.0002757401,0.0001702825,0.0002167748,0.0002089331,0.0003187809,0.0002664761,0.0005157544,0.001486591],"category_scores_gemma":[0.0003673212,0.0001714536,0.0002185194,0.00009564475,0.0003595455,0.0005094633,0.0003981041,0.0003649376,0.0005148388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069766,"about_ca_system_score_gemma":0.0002329303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006469354,"about_ca_topic_score_gemma":0.0001248608,"domain_scores_codex":[0.9998387,0.00002585682,0.0000067107,0.00003311554,0.00008101829,0.00001461666],"domain_scores_gemma":[0.9998099,0.00004593783,0.00003265642,0.00003714912,0.00004177354,0.00003267863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003884071,0.00002135006,0.0001391343,0.000118548,0.000004972062,0.0003439074,0.00005269959,0.001205879,0.9604685,0.001492719,0.0004247882,0.03568877],"study_design_scores_gemma":[0.00007112925,0.001607415,0.004856524,0.00009369178,0.00003603968,0.006433707,0.0001536742,0.0284033,0.8927227,0.00313369,0.06241716,0.00007099372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3283943,0.005442955,0.6399971,0.000984511,0.0008076555,0.0002986442,0.0001720567,0.001350209,0.02255269],"genre_scores_gemma":[0.7671425,0.001165515,0.2226986,0.0003127208,0.0000613828,0.00009576486,0.00005704317,0.00004956455,0.008416862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001486591,"threshold_uncertainty_score":0.004973173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513571617759505,"score_gpt":0.2968630328146858,"score_spread":0.2717273166370908,"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."}}