{"id":"W1748064802","doi":"10.1002/rcs.1568","title":"Forces exerted during microneurosurgery: a cadaver study","year":2014,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Imperial College London; National Institute for Health and Care Research; Wellcome Trust; Wellcome","keywords":"Cadaver; Magnification; Dissection (medical); Microsurgery; Robotics; Neurosurgery; Medicine; Extracorporeal; Computer science; Surgery; Anatomy; Physical medicine and rehabilitation; Robot; Artificial intelligence","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":[0.00054912,0.0001300542,0.0003030342,0.0002213681,0.00004745807,0.000120254,0.0003057592,0.00007570708,0.00002350896],"category_scores_gemma":[0.0001090738,0.0001131194,0.0001206374,0.0001035142,0.00003916174,0.00008163905,0.00008432849,0.0002671792,0.000002788504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003017674,"about_ca_system_score_gemma":0.00003719695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005553525,"about_ca_topic_score_gemma":0.000003828599,"domain_scores_codex":[0.998238,0.00004815254,0.0005951744,0.0001160709,0.0008480267,0.0001545537],"domain_scores_gemma":[0.9987828,0.0005752248,0.0001346534,0.000102303,0.0001870681,0.0002180134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001699913,0.002685749,0.2787362,0.0002287234,0.003607347,0.002060691,0.001198511,0.2244464,0.00215987,0.003082252,0.03252787,0.4490964],"study_design_scores_gemma":[0.001581662,0.00009366046,0.440254,0.0004341944,0.00009302038,0.001356911,0.00008207666,0.5496667,0.0001745566,0.0002656076,0.005556436,0.0004411812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8570133,0.0001363971,0.1381592,0.001167038,0.003372314,0.00005531266,0.000001931637,0.00005013458,0.00004434474],"genre_scores_gemma":[0.9979029,0.0001914103,0.0009260047,0.000171559,0.0007696204,0.000002205917,0.000003033403,0.00002009789,0.00001321017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4486552,"threshold_uncertainty_score":0.4612876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303528749196315,"score_gpt":0.2411676160966295,"score_spread":0.2281323286046663,"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."}}