{"id":"W4231138537","doi":"10.3201/eid2307.c12307","title":"Correction: Vol. 23, No. 4","year":2017,"lang":"en","type":"erratum","venue":"Emerging infectious diseases","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Computer science; Data science; Medicine; Information retrieval; Library 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":[],"consensus_categories":[],"category_scores_codex":[0.004752594,0.002057296,0.001614815,0.003093041,0.003325177,0.004239002,0.003864366,0.007031461,0.08261175],"category_scores_gemma":[0.08995934,0.0009995579,0.001516083,0.001855798,0.002223295,0.002688674,0.002115856,0.01100635,0.06180544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005104253,"about_ca_system_score_gemma":0.006518882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0246184,"about_ca_topic_score_gemma":0.02037102,"domain_scores_codex":[0.9943491,0.0008737429,0.001042132,0.0006671418,0.002615564,0.0004523014],"domain_scores_gemma":[0.9688722,0.006261521,0.00152667,0.001929676,0.02045614,0.0009537677],"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":[0.000007067812,0.000002322003,0.00004194793,0.00003966395,0.000003822323,0.000107695,0.00001340614,0.00001449925,0.000009899357,0.0003447635,0.9966973,0.002717635],"study_design_scores_gemma":[0.00002102061,0.000007096869,0.0003817322,0.0003650237,0.00001505587,0.0004104585,0.00004478315,0.000106042,0.0001137059,0.0009891049,0.9975274,0.00001851762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001541834,0.0008205047,0.0004098375,0.08127942,0.9075075,0.00003340042,0.001745562,0.0003989641,0.00765063],"genre_scores_gemma":[0.01639887,0.008556952,0.003697251,0.2091509,0.4022561,0.0003278023,0.005452754,0.002470238,0.351689],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08261175,"threshold_uncertainty_score":0.2763638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994983921825405,"score_gpt":0.2247837533299166,"score_spread":0.2048339141116625,"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."}}