{"id":"W2096100084","doi":"10.1109/robot.2007.363951","title":"A Haptic-based Ultrasound Training/Examination System (HUTES)","year":2007,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Haptic technology; Kinesthetic learning; Computer science; Workstation; Interface (matter); Modular design; Modality (human–computer interaction); Ultrasound; Training system; Simulation; Software; Medical imaging; Medical physics; Artificial intelligence; Radiology; Medicine; Operating system","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":[0.000624907,0.000437473,0.0004601247,0.0004604678,0.0002005153,0.000418777,0.00109621,0.0007379914,0.01699088],"category_scores_gemma":[0.001608628,0.0003323773,0.000337547,0.0001901617,0.0002085808,0.0005294136,0.001294666,0.0003699859,0.002555317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644139,"about_ca_system_score_gemma":0.0004538724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000389349,"about_ca_topic_score_gemma":0.0003058276,"domain_scores_codex":[0.9995883,0.00009077931,0.0000352419,0.00006662618,0.0001844307,0.00003459251],"domain_scores_gemma":[0.9992755,0.0002669088,0.00005891324,0.0001299679,0.0001335045,0.0001351602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001929386,0.0007491054,0.004899082,0.001061194,0.00009994466,0.001308117,0.0004265556,0.01268553,0.4489397,0.002951153,0.01296712,0.5119832],"study_design_scores_gemma":[0.001319941,0.008178498,0.0433859,0.000356776,0.0003998889,0.01423875,0.0002446074,0.3685252,0.3371276,0.002805696,0.2229031,0.0005141001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1250886,0.0006561221,0.8370174,0.0003756961,0.0004746717,0.001034256,0.001144607,0.02240846,0.01180021],"genre_scores_gemma":[0.6397386,0.0005562392,0.3255568,0.000697801,0.000208148,0.0009873458,0.001614098,0.0006384102,0.03000256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01699088,"threshold_uncertainty_score":0.05684012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04695749575862961,"score_gpt":0.3029627594196659,"score_spread":0.2560052636610363,"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."}}