{"id":"W4389164291","doi":"10.22215/ff/v3.i1.13","title":"Simulated solutions: Using a clinical simulation exercise to prepare journalism students for trauma-intensive interviews","year":2023,"lang":"en","type":"article","venue":"Facts & Frictions Emerging Debates Pedagogies and Practices in Contemporary Journalism","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa; Carleton University","keywords":"Journalism; Context (archaeology); Harm; Psychology; Medical education; Public relations; Sociology; Political science; Medicine; Social psychology; Media studies; History","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003053425,0.0003711468,0.0007655596,0.001263419,0.0009439522,0.0003220236,0.0002493518,0.0002649144,0.00009455541],"category_scores_gemma":[0.004755161,0.0003540438,0.0002580185,0.001263103,0.00007345498,0.001315373,0.0001576877,0.0007028492,0.00001796041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782813,"about_ca_system_score_gemma":0.0005636186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008876271,"about_ca_topic_score_gemma":0.00006724972,"domain_scores_codex":[0.9956758,0.000501477,0.001970282,0.0006697726,0.0005875691,0.0005951267],"domain_scores_gemma":[0.9912498,0.004175778,0.001556573,0.0004995357,0.002026312,0.0004919759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002022304,0.0005179383,0.5939274,0.000505925,0.0004896061,0.0001039498,0.04145328,0.3400862,0.00008880095,0.00003900557,0.01058863,0.01017694],"study_design_scores_gemma":[0.005853639,0.0007842682,0.1649101,0.003947783,0.0005911808,0.0001778879,0.09578437,0.6635757,0.00003865868,0.001003766,0.06250869,0.0008239582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690636,0.005165902,0.002962664,0.01762559,0.002432001,0.002357122,0.00006387521,0.0002592329,0.00007003242],"genre_scores_gemma":[0.994428,0.001814001,0.001236113,0.001241818,0.0005967838,0.00009815811,0.000157382,0.00007412626,0.0003536491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290173,"threshold_uncertainty_score":0.9998912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5016605308792987,"score_gpt":0.5750868861246311,"score_spread":0.07342635524533236,"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."}}