{"id":"W2047318227","doi":"10.1109/robot.1995.525654","title":"An electrorheological fluid damper for robots","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Electrorheological fluid; Damper; Robot; Computer science; Control theory (sociology); Control engineering; Physics; Engineering; Artificial intelligence; Electric field; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002145863,0.0003151967,0.0002838314,0.0001929223,0.0002626196,0.0003336189,0.0004768912,0.0006874927,0.001512071],"category_scores_gemma":[0.0005286479,0.0001668593,0.0001774285,0.0001019053,0.0003982484,0.0006252203,0.0003185178,0.00042356,0.0003517136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881417,"about_ca_system_score_gemma":0.0002272157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013775,"about_ca_topic_score_gemma":0.0002857489,"domain_scores_codex":[0.9998891,0.00001700332,0.000005076387,0.00002233517,0.00005910444,0.000007225344],"domain_scores_gemma":[0.999879,0.00004854322,0.0000269876,0.00001425915,0.00002169237,0.000009517324],"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":[0.0002073824,0.0001181975,0.0004225263,0.0005028683,0.00003549144,0.0002459736,0.0001755526,0.0787918,0.6356688,0.04222185,0.002248153,0.2393615],"study_design_scores_gemma":[0.0001280944,0.0007851726,0.001289848,0.0001299128,0.00005694013,0.0007103916,0.00003625415,0.7243121,0.1468027,0.01429039,0.1113736,0.00008456444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04156281,0.005306324,0.9449124,0.0004548812,0.0002473854,0.00007208352,0.00002277125,0.001166064,0.006255267],"genre_scores_gemma":[0.6600466,0.00348244,0.3218566,0.0002528107,0.0001273957,0.0001879831,0.0000431564,0.00007892583,0.01392404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001512071,"threshold_uncertainty_score":0.005058408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720563296667365,"score_gpt":0.2407633660548307,"score_spread":0.203557733088157,"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."}}