{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006243843,0.0006282479,0.0002843555,0.0004325612,0.0001651116,0.0003288842,0.0005771164,0.0006592916,0.001333946],"category_scores_gemma":[0.001910766,0.0001671995,0.0002964117,0.0004346556,0.0002646324,0.0004108245,0.0007626979,0.0006705007,0.0002386721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000562408,"about_ca_system_score_gemma":0.0006118736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00591201,"about_ca_topic_score_gemma":0.004697104,"domain_scores_codex":[0.9998109,0.00004671191,0.00001049936,0.00004000954,0.00005643782,0.00003541222],"domain_scores_gemma":[0.9996562,0.0001600242,0.00003303546,0.00004074339,0.00007787764,0.00003208301],"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":[0.0002947373,0.0003874973,0.004318167,0.0001223334,0.00008927366,0.000230749,0.0001278106,0.4359621,0.02291926,0.001363665,0.002008492,0.5321759],"study_design_scores_gemma":[0.000009783434,0.0001182861,0.00186418,0.000008546887,0.000009989599,0.00004337641,0.00001823428,0.9882569,0.007739905,0.001291035,0.0006311926,0.000008539474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3541844,0.001485332,0.6340455,0.0006102223,0.0001916674,0.0001909912,0.000341231,0.003956868,0.004993652],"genre_scores_gemma":[0.9281167,0.0002507064,0.06866036,0.0001012481,0.00002465275,0.00006894164,0.0002296637,0.00004775557,0.002499944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00591201,"threshold_uncertainty_score":0.01175517,"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."}}