{"id":"W2050773096","doi":"10.1177/1534765613496646","title":"Development of a critical incident stress inventory for the emergency medical services.","year":2013,"lang":"en","type":"article","venue":"Traumatology An International Journal","topic":"Disaster Response and Management","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Medical emergency; Emergency medical services; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009127085,0.00009209209,0.0001525391,0.0001157042,0.000391414,0.00001289179,0.0008171195,0.0001159604,0.008895388],"category_scores_gemma":[0.000202663,0.00006186446,0.00006749522,0.00003384386,0.0000855288,0.0002432334,0.0001579317,0.0003617043,0.0001475524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006177917,"about_ca_system_score_gemma":0.000301673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007360128,"about_ca_topic_score_gemma":0.0005665756,"domain_scores_codex":[0.9980271,0.0002529238,0.0008086432,0.0001217407,0.0005220213,0.0002675096],"domain_scores_gemma":[0.9986519,0.0002980863,0.000236717,0.0001322653,0.0005103446,0.0001707271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001386537,0.002849533,0.3142448,0.001346836,0.002275481,0.0001270282,0.1829892,0.00002562128,0.0002157041,0.3469408,0.04027169,0.1073268],"study_design_scores_gemma":[0.006843848,0.0003156421,0.5840672,0.001283814,0.0001999744,0.0003969798,0.1270874,0.009142704,0.0001979906,0.03491679,0.2348966,0.0006509461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725661,0.0001106046,0.01468392,0.006856063,0.003644567,0.0004088404,0.000007507646,0.00001821799,0.001704237],"genre_scores_gemma":[0.9960186,0.00006805376,0.00142644,0.001441829,0.0003239336,0.0002638689,0.00001373565,0.00001209723,0.0004314067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.312024,"threshold_uncertainty_score":0.9920106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08617694487176034,"score_gpt":0.4784315711250668,"score_spread":0.3922546262533065,"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."}}