{"id":"W4294338704","doi":"10.1109/marss55884.2022.9870511","title":"Evaluating Miniature Robot Surgical Scissors","year":2022,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Computer science; Surgical robot; Human–computer interaction; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001177325,0.00005065115,0.00005473235,0.00002575776,0.0001347117,0.00001420463,0.0000982333,0.00001564311,0.0015038],"category_scores_gemma":[0.000005770917,0.00005065151,0.00003029649,0.0001844069,0.00000596337,0.00001516621,0.00004868304,0.0001330776,0.00003735827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003056199,"about_ca_system_score_gemma":0.000007344449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003426704,"about_ca_topic_score_gemma":0.000001203302,"domain_scores_codex":[0.9995625,0.00000942759,0.00008435947,0.00008458928,0.0001460533,0.0001130929],"domain_scores_gemma":[0.9997752,0.00004939057,0.000006795333,0.0001242539,0.000009104182,0.00003521244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.887032e-7,0.00001293829,0.0001232143,0.000003292348,0.000007998195,0.00000262219,0.00006453413,0.9849975,0.0013776,0.004546,0.005630944,0.003232571],"study_design_scores_gemma":[0.0003221233,0.00003407313,0.000907031,0.000001877077,0.0000133245,0.00003384376,0.00019735,0.8747842,0.0006514833,0.0007194231,0.1221189,0.000216375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8663747,0.0007575604,0.007200325,0.001407601,0.0007799049,0.0004185787,0.00002208734,0.001472729,0.1215665],"genre_scores_gemma":[0.9889208,0.000003461347,0.009185931,0.00004219628,0.00006483201,0.00007835127,0.00001327629,0.00001602337,0.001675133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1225461,"threshold_uncertainty_score":0.999409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777052548430656,"score_gpt":0.3094710466043,"score_spread":0.2717005211199935,"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."}}