{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557895,0.0001216495,0.0002794889,0.0004076413,0.00008522499,7.629935e-7,0.00008172679,0.0001018497,0.00009675891],"category_scores_gemma":[0.0009376886,0.0000870634,0.00002670312,0.00140885,0.00006715743,0.00006439588,0.00002088974,0.0001939071,0.000004994142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977576,"about_ca_system_score_gemma":0.0003177123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002787866,"about_ca_topic_score_gemma":0.00006834828,"domain_scores_codex":[0.9977289,0.0001343516,0.001154466,0.0002346861,0.0005290576,0.0002185502],"domain_scores_gemma":[0.9985415,0.0001216755,0.0002683988,0.0002121024,0.0005939779,0.0002623323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008298215,0.00002613803,0.9738113,0.00005273344,0.00006672872,1.777926e-7,0.0198147,0.002790038,0.001357116,0.00009601512,0.0001861903,0.001715871],"study_design_scores_gemma":[0.001011742,0.0001824796,0.9819852,0.0001403385,0.0003313876,0.000001223353,0.00265947,0.009322419,0.00358609,0.0003527356,0.0003291956,0.00009773884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873142,0.001118392,0.003562503,0.006657235,0.000665269,0.0005637993,0.000001903269,0.0000154514,0.0001012583],"genre_scores_gemma":[0.998496,0.0003454331,0.0004015663,0.0001039472,0.0002361168,0.0000448555,0.0002072363,0.00001126374,0.0001535634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01715523,"threshold_uncertainty_score":0.3550342,"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."}}