{"id":"W7024476657","doi":"","title":"SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery","year":2023,"lang":"en","type":"other","venue":"UCL Discovery (University College London)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; University College London; Wellcome / EPSRC Centre for Interventional and Surgical Sciences; Cancer Research UK; Wellcome Trust; Knight Cancer Institute, Oregon Health and Science University; Oregon Health and Science University; Microsoft Research","keywords":"Rendering (computer graphics); Polygon mesh; Automation; Task (project management); Invasive surgery; 3d model; Human anatomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008083062,0.001629078,0.0006497793,0.001268799,0.0004049499,0.001565136,0.002599764,0.001308753,0.01489715],"category_scores_gemma":[0.004046148,0.0007486009,0.001729994,0.001316387,0.0005685992,0.00100636,0.002617584,0.002007463,0.009724393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847954,"about_ca_system_score_gemma":0.001122197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005304833,"about_ca_topic_score_gemma":0.01261258,"domain_scores_codex":[0.9992148,0.0001625044,0.00006296831,0.000146505,0.0003376748,0.00007555202],"domain_scores_gemma":[0.9990346,0.000360789,0.00006447557,0.0003011852,0.0001133674,0.0001256219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001133246,0.0004668489,0.01192081,0.002358374,0.0004114713,0.0007037752,0.0005641766,0.2099912,0.0145039,0.01758264,0.5810479,0.1593157],"study_design_scores_gemma":[0.000378849,0.0003216047,0.008180091,0.0005396971,0.0001021527,0.000968486,0.0002145659,0.4200276,0.01845401,0.02278189,0.527869,0.0001619216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.06999453,0.003092189,0.3227635,0.002195521,0.001324446,0.001098285,0.3755882,0.176586,0.04735722],"genre_scores_gemma":[0.1770876,0.001709256,0.1955111,0.0006855712,0.0001535686,0.0009682328,0.6014659,0.01484733,0.0075715],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01489715,"threshold_uncertainty_score":0.04983592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882299368841481,"score_gpt":0.2390208839927967,"score_spread":0.2101978903043819,"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."}}