{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003012459,0.000665926,0.0004081962,0.00197638,0.0002840436,0.0006524296,0.000547346,0.0008050718,0.003935912],"category_scores_gemma":[0.008547826,0.000326167,0.0004471826,0.0006135383,0.0008682444,0.001143035,0.0009513411,0.0003568026,0.0007788549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003386482,"about_ca_system_score_gemma":0.0003299001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004188422,"about_ca_topic_score_gemma":0.0008212548,"domain_scores_codex":[0.9966684,0.0005051384,0.0002082253,0.0003193739,0.002144869,0.0001539247],"domain_scores_gemma":[0.9897987,0.004735601,0.001332355,0.0007713371,0.002858949,0.0005030371],"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":[0.00105585,0.0001931752,0.01971499,0.002127802,0.0001904958,0.0002750282,0.0004187323,0.004542603,0.7529399,0.0006837929,0.0007668614,0.2170909],"study_design_scores_gemma":[0.00008142619,0.01775069,0.1700896,0.0003287104,0.0004126818,0.003545025,0.001096959,0.02283021,0.7585011,0.0009199959,0.0241856,0.0002578618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8718568,0.00841701,0.1087406,0.0002840879,0.0001844436,0.00077829,0.0007334481,0.0007367935,0.008268573],"genre_scores_gemma":[0.8704376,0.004436571,0.1188742,0.0001680958,0.00008212632,0.0003681998,0.0007778564,0.0001190395,0.004736356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003935912,"threshold_uncertainty_score":0.01593161,"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."}}