{"id":"W4407753564","doi":"10.3233/shti250023","title":"Innovating Pediatric Trauma Care with Digital Tools","year":2025,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Telehealth; Health care; Emergency department; Medical emergency; Digital health; Medicine; Nursing; Telemedicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01035016,0.0004935408,0.0003085015,0.001853375,0.0008382893,0.006038795,0.001481081,0.001002901,0.007810533],"category_scores_gemma":[0.03095994,0.0002596598,0.0007773483,0.001294647,0.001377446,0.005802186,0.006218065,0.001602232,0.001453956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112607,"about_ca_system_score_gemma":0.003735179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000685317,"about_ca_topic_score_gemma":0.001874201,"domain_scores_codex":[0.9927455,0.00500564,0.0004264279,0.0003224874,0.001099041,0.0004009812],"domain_scores_gemma":[0.9817761,0.01327354,0.0009033419,0.001280999,0.001381127,0.001384919],"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":[0.0001356732,0.001178363,0.01585201,0.002294877,0.0001255578,0.000455605,0.01273008,0.0009431659,0.001409444,0.02172056,0.02905205,0.9141026],"study_design_scores_gemma":[0.0003666363,0.002552465,0.02851905,0.0136076,0.0004687678,0.002378081,0.04118634,0.003915415,0.006546108,0.06802939,0.8322337,0.000196427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3558213,0.0261357,0.184181,0.1128336,0.003258381,0.002830928,0.001318615,0.003726632,0.3098938],"genre_scores_gemma":[0.5873948,0.02837904,0.3533098,0.0133067,0.00113397,0.001885333,0.0008332792,0.0002844013,0.01347275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035016,"threshold_uncertainty_score":0.05473757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187054912619931,"score_gpt":0.3625274256983636,"score_spread":0.3306568765721643,"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."}}