{"id":"W2032578179","doi":"10.1111/acem.12590","title":"The Development and Validation of Hand Motion Analysis to Evaluate Competency in Central Line Catheterization","year":2015,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Central line; Medical physics; Intensive care medicine","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":[0.01814869,0.0006674633,0.000331648,0.001385182,0.0002958705,0.0006623019,0.0009401683,0.0007889505,0.000544495],"category_scores_gemma":[0.03415788,0.000279188,0.0004236442,0.0004674394,0.0006997462,0.000692852,0.0008595958,0.0004138233,0.0002991291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570023,"about_ca_system_score_gemma":0.001161042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104749,"about_ca_topic_score_gemma":0.001800802,"domain_scores_codex":[0.9905345,0.005130363,0.0008639738,0.0009861726,0.002272818,0.0002121079],"domain_scores_gemma":[0.9755327,0.01153364,0.002784084,0.001517791,0.008100405,0.0005315851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00196255,0.001537714,0.6062233,0.000510522,0.0002785914,0.0001509223,0.00149899,0.003439079,0.07153757,0.0004654855,0.0006383352,0.311757],"study_design_scores_gemma":[0.0002909481,0.01522533,0.9170381,0.0002318893,0.0002120974,0.001161217,0.0007175282,0.03139673,0.03038989,0.0003561406,0.002900667,0.00007936059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373604,0.0008281607,0.0570819,0.0001064081,0.00007241611,0.00151786,0.0002272232,0.0001449557,0.002660721],"genre_scores_gemma":[0.9419351,0.0002005741,0.0563645,0.00008660728,0.00003372586,0.000712625,0.0002327524,0.00001975036,0.0004144199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01814869,"threshold_uncertainty_score":0.09598058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187069856980859,"score_gpt":0.4240394901657514,"score_spread":0.3053325044676655,"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."}}