{"id":"W2160347493","doi":"10.1016/j.amjsurg.2005.04.006","title":"Quantification of motion characteristics and forces applied to tissues during suturing","year":2005,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Wrist; Rotation (mathematics); Movement (music); Process (computing); Computer science; Physical medicine and rehabilitation; Simulation; Medicine; Artificial intelligence; Biomedical engineering; Surgery; Physics; Acoustics","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":[0.0003313588,0.0002709611,0.0002478184,0.0008613622,0.0002032389,0.0003826804,0.0001919,0.000398912,0.0007252625],"category_scores_gemma":[0.001366686,0.000205141,0.0001803828,0.0004775697,0.0002431849,0.0003485116,0.0002481657,0.0002320565,0.0001235058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603427,"about_ca_system_score_gemma":0.0002521819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007540994,"about_ca_topic_score_gemma":0.001112705,"domain_scores_codex":[0.9998299,0.00002953057,0.00001225955,0.00003254794,0.00007378275,0.00002199537],"domain_scores_gemma":[0.9991111,0.0004521439,0.0001469294,0.00005456464,0.0001564721,0.00007864955],"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":[0.001214625,0.0001634589,0.02587805,0.0001697676,0.0000355594,0.0001587007,0.0002231759,0.01269252,0.8460744,0.0002080776,0.0001587495,0.1130228],"study_design_scores_gemma":[0.00005064222,0.00267512,0.4620254,0.00004978221,0.0001045998,0.001382775,0.0004792325,0.1940631,0.3373363,0.0004000599,0.001349878,0.00008308465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726866,0.0001977411,0.02638577,0.0000201063,0.00001017913,0.00003431,0.00007360759,0.00005490581,0.0005367432],"genre_scores_gemma":[0.9896079,0.0001273128,0.009676409,0.000009051852,0.000006509894,0.00002140066,0.00008809513,0.00001435006,0.0004490133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008613622,"threshold_uncertainty_score":0.002426267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221192592941842,"score_gpt":0.2975008968454504,"score_spread":0.255288970916032,"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."}}