{"id":"W2195931883","doi":"10.1109/mra.2015.2486579","title":"Surgical Robot Challenge 2015 [Competitions]","year":2015,"lang":"en","type":"article","venue":"IEEE Robotics & Automation Magazine","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Engineering and Physical Sciences Research Council","keywords":"Robot; Surgical robot; Medical robotics; Computer science; Artificial intelligence; Human–computer interaction; Engineering","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":[0.007205506,0.002463535,0.001265593,0.001649193,0.002980161,0.005129252,0.003238476,0.004392284,0.09002619],"category_scores_gemma":[0.007474837,0.000524992,0.001530888,0.0008091685,0.000865519,0.00205574,0.00564698,0.003265797,0.07150567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002820405,"about_ca_system_score_gemma":0.007339004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00998762,"about_ca_topic_score_gemma":0.04506881,"domain_scores_codex":[0.9959689,0.0005713984,0.0001733375,0.000402752,0.002054749,0.0008288946],"domain_scores_gemma":[0.9904076,0.0003390611,0.0002509719,0.0002356031,0.002953641,0.005813104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008389799,0.00006968494,0.0000982866,0.00007944393,0.000008426826,0.00002947282,0.00001529272,0.0002702386,0.0001608449,0.000505304,0.9831297,0.01554943],"study_design_scores_gemma":[0.0001033594,0.0002311594,0.001989483,0.0001142909,0.000006202451,0.0000919067,0.00008354994,0.0008716015,0.0002951236,0.00140002,0.9947726,0.00004058969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02134261,0.01907254,0.02387193,0.1550815,0.2445246,0.003472846,0.05864245,0.01280745,0.461184],"genre_scores_gemma":[0.06197035,0.007610054,0.01728753,0.02633999,0.03011523,0.003055404,0.1783414,0.003033862,0.6722462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09002619,"threshold_uncertainty_score":0.3011677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0658782550964089,"score_gpt":0.3367299615218125,"score_spread":0.2708517064254036,"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."}}