{"id":"W4391848629","doi":"10.1016/j.burns.2024.02.009","title":"Routinely collected burn clinical data in Canada: Determining the knowledge gap","year":2024,"lang":"en","type":"review","venue":"Burns","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; SickKids Foundation; University of Ottawa; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Burn injury; Thematic map; Burn center; Knowledge translation; Bridge (graph theory); Medical emergency; Poison control; Geography; Cartography; Surgery; Knowledge management","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":[0.001070505,0.0004390944,0.002089997,0.0002224169,0.00006267084,0.00006495667,0.001042478,0.0002187428,0.0001675754],"category_scores_gemma":[0.0007768404,0.0002448077,0.0003147838,0.0009477571,0.0000737447,0.00004586187,0.001039288,0.001269726,0.0002321177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005579951,"about_ca_system_score_gemma":0.00540089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05550629,"about_ca_topic_score_gemma":0.6262197,"domain_scores_codex":[0.9969089,0.0002598483,0.001394304,0.0006906296,0.0003090597,0.0004372735],"domain_scores_gemma":[0.9972636,0.0007318687,0.0002548013,0.001559726,0.00005394014,0.0001360589],"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":[0.000009737411,0.00006134528,0.003286093,0.009288464,0.0004360655,0.0003638021,0.00003578209,1.625365e-8,1.526964e-9,0.0001009813,0.1882853,0.7981324],"study_design_scores_gemma":[0.0004486559,0.0000392706,0.003249258,0.01094715,0.003168611,0.00002505345,0.00004116684,0.0001145875,4.231721e-9,0.00000633353,0.9817103,0.0002496047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004194673,0.9818363,0.00000277958,0.0003811742,0.001765925,0.001216489,0.0001205608,0.00005611575,0.0145787],"genre_scores_gemma":[0.0002017303,0.9796124,0.0000368365,0.0002952944,0.0009189391,0.00004836406,0.000637792,0.00008094457,0.01816767],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7978828,"threshold_uncertainty_score":0.9982966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3124327202337999,"score_gpt":0.4628583376891411,"score_spread":0.1504256174553413,"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."}}