{"id":"W2080768102","doi":"10.1007/s11606-012-2314-z","title":"Hybrid Simulation for Knee Arthrocentesis: Improving Fidelity in Procedures Training","year":2013,"lang":"en","type":"article","venue":"Journal of General Internal Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Wilson Centre; Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"University of Toronto","keywords":"Medicine; Arthrocentesis; Fidelity; Training (meteorology); Medical physics; Physical therapy; Pathology; Alternative medicine; Osteoarthritis","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":[0.001146352,0.0005117362,0.0003414609,0.0003567116,0.0002013957,0.0008907226,0.0009677555,0.000824281,0.004323633],"category_scores_gemma":[0.006108079,0.0002831192,0.0003594816,0.0001813444,0.0002487195,0.0005668889,0.001180431,0.0006704025,0.0004416266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003531976,"about_ca_system_score_gemma":0.0008408109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002094187,"about_ca_topic_score_gemma":0.002099254,"domain_scores_codex":[0.9994442,0.0002999618,0.00003457143,0.00005869385,0.000119869,0.00004279249],"domain_scores_gemma":[0.9975586,0.001813641,0.0001006556,0.0001845686,0.0001498704,0.0001927294],"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":[0.007258506,0.009772542,0.02057808,0.0008644447,0.0002889172,0.000658706,0.003041934,0.4327312,0.05546075,0.005295924,0.004761877,0.4592871],"study_design_scores_gemma":[0.0008596192,0.004624466,0.01248601,0.0002478918,0.0001646157,0.0007948017,0.00044447,0.9557878,0.01528795,0.003152573,0.006021257,0.0001285699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7122397,0.0003627131,0.2774524,0.000433689,0.0001630933,0.000532617,0.0002101043,0.001167544,0.007438177],"genre_scores_gemma":[0.9191682,0.0002356913,0.07855051,0.0001134532,0.00002823044,0.0003930013,0.000149274,0.00008760664,0.00127388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004323633,"threshold_uncertainty_score":0.01446396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0589045846290737,"score_gpt":0.3836258539380484,"score_spread":0.3247212693089747,"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."}}