{"id":"W2742035694","doi":"10.1017/dmp.2017.52","title":"Diagnostic Imaging in Disasters: A Bibliometric Analysis","year":2017,"lang":"en","type":"review","venue":"Disaster Medicine and Public Health Preparedness","topic":"Disaster Response and Management","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Preparedness; Medicine; Emergency management; Disaster medicine; MEDLINE; Public health; Terrorism; China; Outbreak; Medical emergency; Poison control; Suicide prevention; Political science; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.007031511,0.0009231819,0.005187455,0.08616013,0.0009650628,0.0001705866,0.001139854,0.0003738762,0.0005851353],"category_scores_gemma":[0.004997299,0.0006680459,0.0004427123,0.05008346,0.000390648,0.0006641923,0.001109783,0.001173686,0.0001622597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000669398,"about_ca_system_score_gemma":0.002194951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003235249,"about_ca_topic_score_gemma":0.001932109,"domain_scores_codex":[0.9882551,0.004137196,0.003194,0.001460116,0.0008293389,0.002124188],"domain_scores_gemma":[0.9894739,0.004675136,0.002305577,0.002114479,0.0001803942,0.001250524],"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":[0.00001098358,0.0001210803,0.002406657,0.03312405,0.0004419699,0.00007054532,0.0915518,8.881018e-8,8.812179e-10,0.0001787981,0.01204915,0.8600449],"study_design_scores_gemma":[0.0009970026,0.00008583842,0.0007805925,0.02790021,0.001274185,0.000007812717,0.06506957,0.0000188722,4.300494e-11,0.00003792625,0.903353,0.0004750348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006697726,0.9774281,0.0005328481,0.002283453,0.001422612,0.004071393,0.0001351032,0.0001208083,0.01333587],"genre_scores_gemma":[0.001129656,0.9900699,0.0000186785,0.003054326,0.000672491,0.002156948,0.0007997577,0.0001086976,0.001989586],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8913038,"threshold_uncertainty_score":0.9995771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4103893026117218,"score_gpt":0.569077636771543,"score_spread":0.1586883341598212,"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."}}