{"id":"W4390651760","doi":"10.56068/mhce4982","title":"Navigating Paramedics' Safety","year":2024,"lang":"en","type":"article","venue":"International Journal of Paramedicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"","keywords":"Odds; Odds ratio; Logistic regression; Incidence (geometry); Medicine; Medical emergency; Injury prevention; Demography; Poison control; Emergency medicine; Emergency medical services; Injury Severity Score; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004208446,0.0001216258,0.0003070305,0.0001082985,0.00002813565,0.0000219897,0.0001615911,0.00005333362,0.0004795978],"category_scores_gemma":[0.0004507223,0.00008211019,0.0002074772,0.0001612825,0.0001154441,0.0001194395,0.00003015225,0.0006490012,0.00005197454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298663,"about_ca_system_score_gemma":0.000157273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002385266,"about_ca_topic_score_gemma":0.00000233776,"domain_scores_codex":[0.9981484,0.00001790574,0.0006689643,0.0001216034,0.0008925275,0.0001505505],"domain_scores_gemma":[0.9988993,0.0001678665,0.0001261741,0.00008435488,0.0005757515,0.000146484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000832815,0.0001732813,0.01515998,0.0001641005,0.002691671,0.008686995,0.003868385,0.00007282404,0.002996269,0.002812936,0.04589994,0.9166408],"study_design_scores_gemma":[0.005242611,0.001852088,0.06065153,0.01280799,0.0008871547,0.01904394,0.003329348,0.002238923,0.001777436,0.002868426,0.8889273,0.0003732885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952925,0.03615303,0.01115994,0.1035791,0.02748666,0.0002338147,0.00002675037,0.0001530064,0.02591514],"genre_scores_gemma":[0.9920206,0.001945212,0.001109701,0.0009166797,0.003682673,0.000001529563,0.00001155565,0.00001665955,0.0002954049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9162675,"threshold_uncertainty_score":0.525126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027536563029226,"score_gpt":0.3989588604155518,"score_spread":0.3786834947852596,"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."}}