{"id":"W3012148601","doi":"10.1117/12.2547388","title":"Miniature C-arm simulator using wireless accelerometer based tracking","year":2020,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials","funders":"","keywords":"Simulation; Computer science; Accelerometer; Tracking (education); Tracking system; Training system; Artificial intelligence; 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":[0.0004664422,0.0006641282,0.0003914672,0.0004399081,0.000105885,0.0002608926,0.000960544,0.0005569267,0.00345572],"category_scores_gemma":[0.001067873,0.0002351437,0.000490092,0.0002393284,0.0001972576,0.0003914765,0.0006197406,0.0003338171,0.001084443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086128,"about_ca_system_score_gemma":0.0003755023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004719434,"about_ca_topic_score_gemma":0.0005075214,"domain_scores_codex":[0.9995742,0.00007862008,0.00004215857,0.00008148131,0.0001890438,0.00003444034],"domain_scores_gemma":[0.9994211,0.0001859683,0.00009023265,0.0001122186,0.0001240094,0.00006654982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006765403,0.001331067,0.009951572,0.0007577969,0.00009733567,0.0006144756,0.0003431415,0.01335157,0.7819188,0.0004317241,0.00269756,0.1878285],"study_design_scores_gemma":[0.0006161425,0.03357032,0.09468991,0.0002395657,0.0006058334,0.007562262,0.0003250307,0.2212238,0.5913111,0.0006549372,0.04881751,0.0003835679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5448841,0.0004189275,0.4453055,0.0002514697,0.0002160954,0.001290078,0.000618148,0.003600835,0.003414718],"genre_scores_gemma":[0.7714491,0.0005381754,0.2205351,0.0002065887,0.00005029134,0.0008659087,0.0006842322,0.000117577,0.005552976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00345572,"threshold_uncertainty_score":0.01156056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283022083028531,"score_gpt":0.3391418749022564,"score_spread":0.2108396665994033,"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."}}