{"id":"W4403816215","doi":"10.1093/eurpub/ckae144.136","title":"National early warning systems for emerging AMR in high-income countries: a systematic review","year":2024,"lang":"en","type":"review","venue":"European Journal of Public Health","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warning system; High income countries; Early warning system; Business; Economic growth; Economics; Developing country; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.09060797,0.0004918264,0.004342292,0.001590153,0.000338403,0.0001750823,0.0008942529,0.00009106155,0.00004777685],"category_scores_gemma":[0.00295739,0.000332999,0.0006125976,0.0008904448,0.00002612116,0.0003339018,0.0002464763,0.00166672,0.0007789651],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122782,"about_ca_system_score_gemma":0.006500359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002858107,"about_ca_topic_score_gemma":0.000006992294,"domain_scores_codex":[0.9604127,0.02947539,0.007440947,0.000418854,0.001208395,0.001043748],"domain_scores_gemma":[0.9910982,0.00137818,0.00587972,0.0004076981,0.0007468304,0.0004893341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002700814,0.00002344726,0.000001097669,0.9529943,0.0003523947,0.0001075611,0.001602844,9.520663e-7,4.946018e-10,0.00435137,0.02821067,0.01235263],"study_design_scores_gemma":[0.0002154853,0.000113293,0.000002324407,0.4876384,0.0003544939,0.00003515476,0.0003753333,0.000005743623,2.202484e-11,0.00000831111,0.5111319,0.0001195577],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001751425,0.9822507,0.003504286,0.003083634,0.0030272,0.006374785,0.00009642172,0.00005219093,0.001609051],"genre_scores_gemma":[0.00003272091,0.9921519,0.0000972909,0.001554688,0.001111234,0.0003733776,0.00003861174,0.0001734046,0.004466748],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4829212,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070114821425852,"score_gpt":0.4877897039893338,"score_spread":0.2807782218467486,"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."}}