{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004543391,0.00005168931,0.0002908011,0.0001242243,0.00003765907,0.0000089594,0.00002950574,0.000009240023,0.00001963657],"category_scores_gemma":[0.0001062146,0.00003431004,0.0000523183,0.0001528877,0.00007309681,0.00004645156,0.000009009527,0.00007532604,0.000002213568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001473163,"about_ca_system_score_gemma":0.000013355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003491534,"about_ca_topic_score_gemma":1.707346e-7,"domain_scores_codex":[0.9993328,0.000026191,0.0003515237,0.00005215924,0.0001564175,0.00008094245],"domain_scores_gemma":[0.9991035,0.0002495474,0.0004235489,0.00007338998,0.00007668624,0.00007336203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001335424,0.00007376484,0.1314339,0.00004811783,0.00008939645,0.000009984012,0.001453028,0.0007408881,0.03461633,0.0001261582,0.00001556281,0.8300575],"study_design_scores_gemma":[0.0002532009,0.00003650265,0.987714,0.000101933,0.00003766091,0.00006815558,0.0006231965,0.0001251203,0.01019942,0.000008639788,0.0007861081,0.00004603932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980884,0.00005337839,0.0005828216,0.001049627,0.00005403826,0.0000413432,6.732567e-7,0.000006654929,0.0001230909],"genre_scores_gemma":[0.9991308,0.0000900549,0.000305914,0.000144032,0.0003017432,6.107824e-7,0.000001001807,0.000006986395,0.00001883512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8562801,"threshold_uncertainty_score":0.1399123,"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."}}