{"id":"W3124295941","doi":"10.3389/frobt.2020.586707","title":"Deep Learning-Based Haptic Guidance for Surgical Skills Transfer","year":2021,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Creatures; Patient safety; Haptic technology; Quality (philosophy); Simulation; Health care; Natural (archaeology)","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":[0.0004551275,0.0005795222,0.000454863,0.0004342636,0.0002080669,0.00043715,0.0008647829,0.0009697474,0.002340958],"category_scores_gemma":[0.001605828,0.0003268422,0.0005537719,0.0003008228,0.0003759378,0.0005742821,0.001085065,0.00130285,0.0004233006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004045609,"about_ca_system_score_gemma":0.0007864052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005172499,"about_ca_topic_score_gemma":0.005148711,"domain_scores_codex":[0.9997453,0.00004680035,0.0000150969,0.00005050946,0.00009394854,0.0000483625],"domain_scores_gemma":[0.9995552,0.000213001,0.00004447392,0.00003476459,0.0001129647,0.00003960228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002158102,0.0001766485,0.001190639,0.0001286577,0.0000517892,0.0001625862,0.0001167317,0.5991644,0.01868021,0.002881033,0.003868372,0.3733632],"study_design_scores_gemma":[0.000005506442,0.00004162384,0.0001399531,0.000005875647,0.000003484597,0.00002273109,0.000004417576,0.9974118,0.001309355,0.0006604017,0.0003907848,0.000004118741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02697786,0.0005876238,0.9684211,0.0003171284,0.0001196623,0.00004291137,0.0000659163,0.001176621,0.002291147],"genre_scores_gemma":[0.8586153,0.0005715938,0.1327502,0.0004552471,0.00009636054,0.0001508889,0.0002151246,0.0001092482,0.007036002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005172499,"threshold_uncertainty_score":0.01028478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289202497575355,"score_gpt":0.2730148379085052,"score_spread":0.2601228129327516,"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."}}