{"id":"W2968517286","doi":"10.7759/cureus.5362","title":"Prompting Paramedics: The Effect of Simulation on Paramedics’ Identification of Learning Objectives","year":2019,"lang":"en","type":"article","venue":"Cureus","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; William Osler Health System; Western University","funders":"","keywords":"Medicine; Identification (biology); Session (web analytics); Set (abstract data type); Learning curve; Emergency medical services; Medical education; Medical emergency; Computer science","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":[0.01105386,0.0003957981,0.0003026417,0.000532841,0.0007683783,0.001601973,0.0008230386,0.0008933592,0.00499326],"category_scores_gemma":[0.1024255,0.0002834039,0.0004775124,0.0002170006,0.0008700514,0.001341006,0.002825528,0.001235204,0.0004225242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140223,"about_ca_system_score_gemma":0.001924453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005092099,"about_ca_topic_score_gemma":0.0007657777,"domain_scores_codex":[0.9885811,0.009007539,0.0005513157,0.000453186,0.0008243621,0.0005825601],"domain_scores_gemma":[0.8450044,0.1383985,0.007666477,0.00186817,0.003781627,0.003280863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006296817,0.01004826,0.2917024,0.005333161,0.0002324861,0.001222675,0.2237214,0.006976987,0.01831605,0.001332911,0.003420516,0.4313964],"study_design_scores_gemma":[0.0009954701,0.03754075,0.6746978,0.004391091,0.0005223984,0.001425746,0.2157748,0.01310003,0.02374462,0.003164691,0.02429719,0.0003454258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951392,0.00009114491,0.001417405,0.0003391444,0.00002945724,0.000260879,0.00003230244,0.00006225782,0.002628187],"genre_scores_gemma":[0.9958159,0.0001396198,0.003194844,0.0001191474,0.00001055903,0.0002966698,0.00003348926,0.000008383334,0.0003813277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105386,"threshold_uncertainty_score":0.0584591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771006995478884,"score_gpt":0.3689143303864863,"score_spread":0.3512042604316974,"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."}}