{"id":"W3129528580","doi":"10.1109/lra.2021.3060402","title":"Parallelism in Autonomous Robotic Surgery","year":2021,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Intuitive Surgical","keywords":"Computer science; Parallelism (grammar); Task (project management); Automation; Robot; Robotic surgery; Artificial intelligence; State (computer science); Data parallelism; Motion (physics); Distributed computing; Human–computer interaction; Parallel computing; Programming language","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":[0.001187418,0.0007622852,0.0005891308,0.0003662422,0.0006323538,0.001015507,0.001046947,0.0008198735,0.002332596],"category_scores_gemma":[0.002696072,0.000627638,0.0008323348,0.000413618,0.00205309,0.001874022,0.001544647,0.001377132,0.0005851597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055809,"about_ca_system_score_gemma":0.001760079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619301,"about_ca_topic_score_gemma":0.002525403,"domain_scores_codex":[0.9987991,0.0003819881,0.00006319756,0.0002290437,0.0004081783,0.0001185266],"domain_scores_gemma":[0.9985654,0.0007641402,0.000150072,0.0003180117,0.0001309384,0.00007142231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001320892,0.00005025962,0.0007917305,0.0002195296,0.0000419341,0.0001472787,0.0001764973,0.8394539,0.005384283,0.1158564,0.001208277,0.03653778],"study_design_scores_gemma":[0.00004646576,0.0001267695,0.0003765115,0.00002856893,0.00001467935,0.00007469512,0.00003281351,0.851423,0.001974382,0.1370834,0.008794259,0.00002447056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03937687,0.002088451,0.9396243,0.001111026,0.0002033174,0.0001322405,0.00009471228,0.0008599831,0.01650901],"genre_scores_gemma":[0.8029947,0.001802914,0.1877157,0.0002239247,0.0001652808,0.0003575332,0.0001642877,0.0002129755,0.006362644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003619301,"threshold_uncertainty_score":0.007803321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356445174310811,"score_gpt":0.2105486440149476,"score_spread":0.1969841922718395,"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."}}