{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009470225,0.0002536824,0.000145674,0.001011128,0.0008023576,0.001060953,0.0006047901,0.000615693,0.009394565],"category_scores_gemma":[0.008754081,0.0001678252,0.0002611248,0.0005977557,0.0002811693,0.0008625388,0.001382815,0.0005155739,0.002164893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009004072,"about_ca_system_score_gemma":0.002551219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009119826,"about_ca_topic_score_gemma":0.01083903,"domain_scores_codex":[0.9987392,0.0004481304,0.0001061055,0.0001684515,0.0003495836,0.0001885731],"domain_scores_gemma":[0.9953203,0.0007498428,0.001749187,0.0002138332,0.001171736,0.0007951781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006955954,0.0001273819,0.8971731,0.0003720119,0.00005812799,0.0008277987,0.002784136,0.0005764157,0.0007119895,0.0003298046,0.01074,0.08622967],"study_design_scores_gemma":[0.00002552731,0.0008594908,0.8999715,0.0007240078,0.00006632075,0.005446871,0.0135926,0.001315025,0.0006004626,0.0007849386,0.07655849,0.0000548166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611545,0.002381062,0.003746306,0.005142429,0.0002657317,0.0002208243,0.002585745,0.0001823787,0.02432108],"genre_scores_gemma":[0.9928377,0.001317759,0.001757015,0.0005708963,0.0001273262,0.00006730155,0.0006706459,0.00001008489,0.002641276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009394565,"threshold_uncertainty_score":0.03142792,"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."}}