{"id":"W4412488824","doi":"10.1002/wjs.70009","title":"Establishing an Essential Dataset for Trauma Registry in LMICs: Insights From a Delphi Survey","year":2025,"lang":"en","type":"article","venue":"World Journal of Surgery","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Delphi method; Medical emergency; Computer 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1639384,0.0006192904,0.0005921163,0.002984479,0.004268277,0.003572107,0.001959821,0.001853634,0.003940115],"category_scores_gemma":[0.1291785,0.0006691132,0.0006677302,0.00222427,0.00313922,0.004955591,0.01013371,0.002531335,0.000521389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007876621,"about_ca_system_score_gemma":0.02428381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004837497,"about_ca_topic_score_gemma":0.004461761,"domain_scores_codex":[0.8719764,0.1074118,0.006478627,0.00205512,0.006906214,0.005171868],"domain_scores_gemma":[0.8688017,0.09087145,0.005710469,0.004333862,0.02469928,0.0055832],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004146782,0.000551731,0.06196697,0.007940725,0.0001220308,0.002248175,0.7278368,0.002341946,0.005879126,0.01999722,0.02442995,0.1462706],"study_design_scores_gemma":[0.00009070581,0.0006375348,0.03138011,0.006246272,0.00006340625,0.0007049871,0.873924,0.004385143,0.001695103,0.008421225,0.07227623,0.0001752124],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8697106,0.001882092,0.0420603,0.04856246,0.0003449618,0.01681723,0.001877978,0.0001339086,0.01861057],"genre_scores_gemma":[0.9283599,0.001402622,0.05190556,0.004915626,0.00006206785,0.01163,0.0006335807,0.00004271479,0.001047942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8360617,"threshold_uncertainty_score":0.8669993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07362380429098472,"score_gpt":0.3468517696088009,"score_spread":0.2732279653178161,"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."}}