{"id":"W4200232909","doi":"10.1109/iros51168.2021.9636627","title":"Deep Neural Skill Assessment and Transfer: Application to Robotic Surgery Training","year":2021,"lang":"en","type":"article","venue":"2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Foundation for Innovation; Health Research","keywords":"Computer science; Transfer of learning; Artificial neural network; Training (meteorology); Artificial intelligence; Robot; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003912835,0.0002544698,0.0005247464,0.0002046579,0.0001226148,0.0002406132,0.00008823902,0.000118,0.0005905659],"category_scores_gemma":[0.00008827484,0.0002261344,0.0001250716,0.0001956726,0.00005721144,0.0001027433,0.0000268979,0.000267474,0.00003543639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128579,"about_ca_system_score_gemma":0.000128512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005662632,"about_ca_topic_score_gemma":0.00003541143,"domain_scores_codex":[0.9978086,0.000112538,0.0006329184,0.0005938453,0.0005723691,0.0002797675],"domain_scores_gemma":[0.9985999,0.0003450633,0.00008377484,0.0002109871,0.0003942272,0.0003659845],"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":[0.0005530168,0.0009084713,0.04445709,0.0004447399,0.0009174615,0.0005084012,0.005975271,0.1017621,0.01397724,0.2199965,0.0002018793,0.6102979],"study_design_scores_gemma":[0.001529374,0.0002669279,0.0340398,0.0009593599,0.000127903,0.0003695317,0.005443497,0.948767,0.001014621,0.0002961636,0.006570812,0.0006149761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4501671,0.000622782,0.5192655,0.005471409,0.003216622,0.001105477,0.0000268378,0.0001111133,0.02001312],"genre_scores_gemma":[0.997315,0.0003059797,0.000223074,0.0006247185,0.0003330881,0.00008971043,0.0001192424,0.00002479046,0.0009643488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8470049,"threshold_uncertainty_score":0.9221492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121132261599617,"score_gpt":0.359077710568045,"score_spread":0.2469644844080833,"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."}}