{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000274094,0.0004812652,0.001044591,0.0004801003,0.001123779,0.0005391929,0.0005750427,0.0003084649,0.01983391],"category_scores_gemma":[0.001720409,0.0005932055,0.0007358852,0.0001320286,0.0002686746,0.0004009957,0.00031684,0.0005194155,0.1141503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000323872,"about_ca_system_score_gemma":0.0001089203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005043447,"about_ca_topic_score_gemma":0.00006453085,"domain_scores_codex":[0.9974746,0.00001502956,0.0007389942,0.001112165,0.00007469823,0.0005844876],"domain_scores_gemma":[0.997313,0.00005049796,0.00117826,0.001054242,0.000196383,0.00020762],"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":[0.000005915531,0.0001087817,0.009304407,0.0001673428,0.0003205656,0.000009776736,0.00008395055,0.00003235285,1.655536e-8,0.001195106,0.9883881,0.0003837189],"study_design_scores_gemma":[0.0003438667,0.00004184324,0.003119294,0.000202299,0.00008276402,0.000003300423,0.00004036229,0.0005638708,1.406226e-7,0.001442145,0.9934844,0.0006756817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001775358,0.0104164,0.00003472941,0.00004678011,0.3646345,0.0001557324,0.001103167,0.0002023069,0.6233886],"genre_scores_gemma":[0.001050502,0.004604221,0.000007171921,0.0001934172,0.007648678,0.00008187272,0.0004346039,0.00007915146,0.9859004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3625118,"threshold_uncertainty_score":0.9996519,"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."}}