{"id":"W2328628974","doi":"10.1097/sih.0000000000000033","title":"An Innovative Pediatric Chest Tube Insertion Task Trainer Simulation","year":2014,"lang":"en","type":"article","venue":"Simulation in Healthcare The Journal of the Society for Simulation in Healthcare","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Western Ontario; Toronto Public Health","funders":"","keywords":"Trainer; Usability; Curriculum; Task (project management); Medical education; Likert scale; Medicine; Psychology; Computer science; Engineering; Pedagogy; Human–computer interaction","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":[0.00448816,0.0003105545,0.0006128424,0.0003696811,0.0004935829,0.00004125739,0.0002649439,0.0004427706,0.000004645454],"category_scores_gemma":[0.001528697,0.0002119322,0.0006243957,0.002229424,0.0001016717,0.0005841237,0.00003466318,0.001041987,0.000001784548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009418967,"about_ca_system_score_gemma":0.0005950207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003603717,"about_ca_topic_score_gemma":0.0002304144,"domain_scores_codex":[0.9952441,0.001086718,0.00192401,0.000322186,0.0009340208,0.0004889705],"domain_scores_gemma":[0.9922957,0.003003402,0.001389312,0.0005322816,0.0025758,0.0002035204],"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":[0.0007586753,0.00008939869,0.2415403,0.0005085102,0.00002686778,3.169544e-7,0.005655698,0.7475127,0.00006294493,0.0002188502,0.00001988647,0.003605864],"study_design_scores_gemma":[0.002182225,0.0003187693,0.4331574,0.0001826234,0.00006776866,0.00000216597,0.0006693374,0.5609687,0.000008809593,0.001936385,0.0003711417,0.0001347425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531637,0.0004825085,0.01704887,0.02489616,0.001851718,0.002478363,0.00002879366,0.00004109381,0.00000874092],"genre_scores_gemma":[0.9949145,0.00009453321,0.0006194888,0.002421805,0.001763264,0.00003021268,0.00008370372,0.00006086681,0.00001160206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1916171,"threshold_uncertainty_score":0.8642344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312659519640333,"score_gpt":0.3716020094932557,"score_spread":0.3384754142968524,"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."}}