{"id":"W2048606573","doi":"10.1186/1748-717x-9-189","title":"Evaluation of high-fidelity simulation training in radiation oncology using an outcomes logic model","year":2014,"lang":"en","type":"article","venue":"Radiation Oncology","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Radiation oncology; Medical physics; Radiation therapy; Oncology; Internal 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":[0.009212856,0.0005730469,0.0002793886,0.00047976,0.0002677941,0.0009931783,0.001431737,0.0005740214,0.002681961],"category_scores_gemma":[0.03103798,0.0002565861,0.0004030026,0.0003023732,0.0003887053,0.0008152851,0.000954876,0.0006501194,0.0001791364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215726,"about_ca_system_score_gemma":0.002173429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003858346,"about_ca_topic_score_gemma":0.002962529,"domain_scores_codex":[0.9949082,0.003800096,0.0002038924,0.0001828172,0.000679902,0.0002250934],"domain_scores_gemma":[0.9765762,0.01829201,0.001710253,0.0006739428,0.001698975,0.0010486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0173053,0.03647656,0.08103821,0.001340762,0.0003967435,0.0003983761,0.003361834,0.5711187,0.01177274,0.004269024,0.001064515,0.2714572],"study_design_scores_gemma":[0.002124073,0.0457479,0.02557579,0.0002797179,0.0002733573,0.0001632861,0.001027211,0.9102572,0.01042971,0.001451563,0.002579138,0.00009107319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776216,0.00003776309,0.01864783,0.0001289181,0.00001707779,0.0008216714,0.00004817143,0.0001208354,0.002556066],"genre_scores_gemma":[0.9789075,0.00004451376,0.02026069,0.00003550243,0.000005451836,0.0003673226,0.00006752081,0.000008554804,0.0003027706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009212856,"threshold_uncertainty_score":0.0487228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2882614832973402,"score_gpt":0.5223613682007195,"score_spread":0.2340998849033794,"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."}}