{"id":"W2004242787","doi":"10.1109/icra.2013.6631196","title":"The application of force sensing to skills assessment in Minimally Invasive Surgery","year":2013,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"Imperial College London","keywords":"Haptic technology; Computer science; Invasive surgery; Set (abstract data type); Work (physics); Simulation; Measure (data warehouse); Human–computer interaction; Medical physics; Engineering; Surgery; Medicine; Data mining; Mechanical 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":[0.0009455415,0.0005050126,0.0002547335,0.0007052852,0.000164229,0.0004954903,0.0004357473,0.0007908748,0.00111429],"category_scores_gemma":[0.006078311,0.0002026536,0.0002082019,0.0003619996,0.0005868258,0.0006013087,0.0005885729,0.0002694717,0.0001762033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486538,"about_ca_system_score_gemma":0.0002157646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004515884,"about_ca_topic_score_gemma":0.0005772466,"domain_scores_codex":[0.998974,0.000392625,0.00005052963,0.0001095057,0.000428377,0.00004508029],"domain_scores_gemma":[0.9968484,0.002266144,0.0002637575,0.000149934,0.0003622794,0.0001094208],"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":[0.0009766667,0.0003949552,0.02367267,0.000823599,0.00007605823,0.0002569295,0.0006432227,0.01291851,0.5802591,0.0008216797,0.0004872276,0.3786694],"study_design_scores_gemma":[0.0001359381,0.01792292,0.2714888,0.0005022365,0.0002887206,0.005202842,0.001010878,0.2321893,0.4574921,0.005189782,0.008136317,0.0004401909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6939921,0.003397232,0.2978894,0.000324225,0.0001695475,0.0002795194,0.0001447265,0.0003351893,0.003468041],"genre_scores_gemma":[0.9375627,0.0007660695,0.06106913,0.00007969581,0.00005704278,0.00004803264,0.00004884864,0.00001770146,0.0003508042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00111429,"threshold_uncertainty_score":0.005000532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211700998377584,"score_gpt":0.3147207100643593,"score_spread":0.2935506102266008,"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."}}