{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004165284,0.0001982243,0.0003604054,0.0001783251,0.00007535458,0.00004363304,0.00008109903,0.0001522409,0.0005979819],"category_scores_gemma":[0.0001390543,0.0001787556,0.000121403,0.0003638522,0.0000731267,0.000170808,0.00002456674,0.0002338727,0.002408545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220701,"about_ca_system_score_gemma":0.0001333103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003235111,"about_ca_topic_score_gemma":0.000005740718,"domain_scores_codex":[0.9982804,0.00008289643,0.0004688945,0.0002806688,0.0005885636,0.000298579],"domain_scores_gemma":[0.9985638,0.0001475117,0.0001168275,0.0003059785,0.000383413,0.0004824832],"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":[0.001039661,0.003538178,0.009442293,0.0003654641,0.0004878287,0.001967653,0.001921496,0.7845045,0.0008187628,0.08691967,0.03690147,0.07209301],"study_design_scores_gemma":[0.02386963,0.0009635317,0.03016539,0.0002943506,0.0002877817,0.0006555095,0.0001922367,0.5804703,0.0002176814,0.002484648,0.3595581,0.0008408105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1287216,0.001954594,0.1302313,0.06455459,0.005688433,0.002514505,0.00004351937,0.004975656,0.6613159],"genre_scores_gemma":[0.9843852,0.00003823489,0.01135544,0.0003323434,0.0006204051,0.00001389527,0.0001611063,0.00003724877,0.003056164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8556636,"threshold_uncertainty_score":0.9983682,"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."}}