{"id":"W1975401432","doi":"10.1109/iros.2014.6943165","title":"Bimanual telerobotic surgery with asymmetric force feedback: A daVinci&lt;sup&gt;&amp;#x00AE;&lt;/sup&gt; surgical system implementation","year":2014,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haptic technology; Teleoperation; Kinematics; Computer science; Simulation; Torque; Robot; Surgical robot; Mechatronics; Control engineering; Engineering; 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":[0.00032812,0.0004076077,0.0002791947,0.0003080525,0.0001624093,0.0003795376,0.001397967,0.0003574554,0.01033921],"category_scores_gemma":[0.0004124256,0.0002090206,0.0001914569,0.0001125572,0.0001498338,0.0003455504,0.0005970792,0.000457922,0.002673978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103154,"about_ca_system_score_gemma":0.0003789436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117778,"about_ca_topic_score_gemma":0.001178197,"domain_scores_codex":[0.9996661,0.00003225335,0.00001899573,0.00007000824,0.0001707314,0.00004189359],"domain_scores_gemma":[0.9998797,0.00001759038,0.000008898317,0.0000244572,0.00004224214,0.00002708061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004781,0.001264317,0.002497756,0.0003358985,0.00005242318,0.0004918293,0.0004157285,0.01192811,0.2510287,0.005504061,0.008056644,0.7179464],"study_design_scores_gemma":[0.0008108572,0.004632257,0.02360537,0.0002334062,0.0001415617,0.007488362,0.0002808993,0.4113328,0.3581705,0.003549229,0.1894632,0.000291498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06009996,0.0001795628,0.915359,0.0001954291,0.0001036012,0.000788303,0.0002040741,0.005892184,0.01717797],"genre_scores_gemma":[0.3329036,0.0002284774,0.6459295,0.0002793081,0.00004223941,0.0006804637,0.0004187736,0.000263314,0.01925434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01033921,"threshold_uncertainty_score":0.0345881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455273595828286,"score_gpt":0.2281372052079213,"score_spread":0.2135844692496385,"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."}}