{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003784762,0.0008081479,0.001360395,0.002209637,0.0004027645,0.0001549177,0.0004753375,0.0008232741,0.0002999004],"category_scores_gemma":[0.0006820007,0.001030237,0.0005805051,0.001557112,0.000311941,0.001280748,0.0003788103,0.0003231612,0.0009733358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008127916,"about_ca_system_score_gemma":0.0008136693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000619862,"about_ca_topic_score_gemma":0.01547533,"domain_scores_codex":[0.9965898,0.0002959616,0.0003692574,0.001311098,0.0006344062,0.0007994679],"domain_scores_gemma":[0.9946336,0.003300549,0.0008511984,0.0007465231,0.0001851729,0.000282947],"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":[0.001259745,0.0002790655,0.00282422,0.0008792572,0.001363201,0.001012267,0.0001247066,0.003000454,0.0002038072,0.001636333,0.9871025,0.0003144473],"study_design_scores_gemma":[0.01767834,0.0007603142,0.138889,0.006862238,0.006119045,0.0001040928,0.005203742,0.04268352,0.00007097945,0.0005398354,0.7723725,0.008716364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3254654,0.005350599,0.02230345,0.002933597,0.01340842,0.03812929,0.2300861,0.02472893,0.3375943],"genre_scores_gemma":[0.1062009,0.0002305239,0.0006872714,0.00006919662,0.0002658095,0.0000127196,0.001512486,0.002617961,0.8884032],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5508089,"threshold_uncertainty_score":0.9998045,"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."}}