{"id":"W2569900316","doi":"10.12968/jpar.2017.9.1.6","title":"Equipping paramedics to look after their mental health and wellbeing","year":2017,"lang":"en","type":"article","venue":"Journal of Paramedic Practice","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada","funders":"","keywords":"Emergency Care Practitioner; Combat Medical Technician; Major trauma; Ambulance service; Mental health; Continuing professional development; Mental healthcare; Mental health care; Psychology; Health care; Medical emergency; Nursing; Medicine; Psychiatry; Medical education; Professional development; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002962246,0.0001716422,0.0004651656,0.000108863,0.001883704,0.00006051039,0.0002994875,0.0001018942,0.00007398734],"category_scores_gemma":[0.005833115,0.0001223634,0.00006835117,0.00004965266,0.0001578787,0.0008541578,0.0003693854,0.001033142,0.00004880051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175526,"about_ca_system_score_gemma":0.0005383599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001655396,"about_ca_topic_score_gemma":0.00004514285,"domain_scores_codex":[0.997541,0.0004563608,0.0008241244,0.000171939,0.0004958797,0.0005107307],"domain_scores_gemma":[0.9956935,0.001294379,0.001872143,0.0003233412,0.0002548728,0.0005617827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003212858,0.0004256977,0.2739444,0.0006548777,0.001028529,0.0004642487,0.1859497,0.000002526926,0.0001673593,0.001321985,0.4092528,0.1235751],"study_design_scores_gemma":[0.001690437,0.0007653316,0.03424997,0.001870498,0.00006848837,0.0001528541,0.04123771,0.00002206679,0.000005119387,0.0006691883,0.9190842,0.0001841577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4539155,0.009394056,0.001214143,0.5210359,0.005041411,0.0007744214,0.00001237216,0.00002934275,0.00858291],"genre_scores_gemma":[0.9511434,0.007271853,0.002875554,0.03550525,0.001931884,0.00002786981,0.000001536428,0.00003165054,0.001211018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5098314,"threshold_uncertainty_score":0.9994157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06652270562099209,"score_gpt":0.4698530651451967,"score_spread":0.4033303595242046,"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."}}