{"id":"W2919563849","doi":"10.1016/s0735-1097(19)33608-3","title":"INEXPENSIVE, HIGH FIDELITY MODEL TO SIMULATE ULTRASOUND-GUIDED PERICARDIOCENTESIS FOR CARDIOLOGY RESIDENT TRAINING","year":2019,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Pericarditis and Cardiac Tamponade","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre","funders":"","keywords":"Pericardiocentesis; Medicine; Medical physics; Fidelity; Simulation training; Ultrasound; Radiology; Cardiology; Pericardial effusion; Simulation","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":[0.0003738525,0.0005991463,0.0003295687,0.0004606972,0.0002705302,0.0007239067,0.00115801,0.001329423,0.008826556],"category_scores_gemma":[0.001473738,0.0003961539,0.0005620128,0.0002051469,0.0003339712,0.0003600853,0.0005415037,0.0005622376,0.001549675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281146,"about_ca_system_score_gemma":0.001321668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004496776,"about_ca_topic_score_gemma":0.005549746,"domain_scores_codex":[0.9997652,0.00004676461,0.0000181179,0.00003250498,0.0001107272,0.00002663396],"domain_scores_gemma":[0.9995627,0.0001865115,0.00003494061,0.0000654275,0.00009135277,0.00005906813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004796776,0.001129077,0.005325463,0.0005212194,0.00005519957,0.0007602961,0.000245191,0.8643199,0.05594314,0.003850433,0.006944895,0.06042559],"study_design_scores_gemma":[0.0002547594,0.00133371,0.005803598,0.0001253236,0.0001178455,0.0008029268,0.0001504182,0.9534448,0.01535757,0.001498271,0.02098423,0.0001264181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3945098,0.0006896799,0.5624436,0.001183407,0.001091184,0.001958329,0.004260502,0.002542787,0.03132073],"genre_scores_gemma":[0.8309482,0.0006827618,0.1520443,0.000375197,0.00005013645,0.001179124,0.001839499,0.0002576078,0.01262317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008826556,"threshold_uncertainty_score":0.02952778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941225895651889,"score_gpt":0.3046057054731645,"score_spread":0.2751934465166456,"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."}}