{"id":"W1991603070","doi":"10.1097/01.ta.0000127764.98514.99","title":"Centers for Disease Control and Prevention Injury Research Agenda: Identification of Acute Care Research Topics of Interest to the Centers for Disease Control and Prevention???National Center for Injury Prevention and Control","year":2004,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delphi method; Medicine; Disease control; Ranking (information retrieval); Delphi; Control (management); Identification (biology); Family medicine; Medical education; Medical emergency; Computer science; Environmental health; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1849966,0.001780097,0.003319087,0.01451954,0.005364611,0.01068171,0.005458418,0.008573687,0.01383041],"category_scores_gemma":[0.2455215,0.001383453,0.00140053,0.01599078,0.003257154,0.004454451,0.009795339,0.01020373,0.002745996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01938474,"about_ca_system_score_gemma":0.1697371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0737275,"about_ca_topic_score_gemma":0.03366919,"domain_scores_codex":[0.8166832,0.1282974,0.01851011,0.005641883,0.02429907,0.0065684],"domain_scores_gemma":[0.603943,0.1746974,0.02786614,0.01309469,0.1614718,0.01892697],"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":[0.0009336867,0.001237177,0.07343315,0.03182932,0.000412946,0.0003574549,0.007529721,0.001421681,0.00142918,0.03334523,0.6002056,0.2478649],"study_design_scores_gemma":[0.001049859,0.0009685867,0.1155413,0.08160811,0.0009020926,0.0004015309,0.01756771,0.00620215,0.001632852,0.01782328,0.7559583,0.0003442038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01535146,0.06732682,0.06612309,0.5690961,0.01503552,0.07982759,0.04087395,0.001741247,0.1446242],"genre_scores_gemma":[0.1733709,0.08017016,0.3288979,0.1181585,0.007084094,0.2109712,0.06511809,0.0005770375,0.01565216],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1849966,"threshold_uncertainty_score":0.9783671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08099880897270645,"score_gpt":0.4491748988210077,"score_spread":0.3681760898483012,"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."}}