{"id":"W2313725962","doi":"10.1017/s1049023x15000072","title":"Mass-gathering Health Research Foundational Theory: Part 1 - Population Models for Mass Gatherings—CORRIGENDUM","year":2015,"lang":"en","type":"erratum","venue":"Prehospital and Disaster Medicine","topic":"Travel-related health issues","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Content (measure theory); Action (physics); Population; Computer science; Medicine; Mathematics; Environmental health; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.003708597,0.0005745051,0.00128058,0.0004231308,0.000375955,0.00005643635,0.0002250303,0.0006449469,0.0002822865],"category_scores_gemma":[0.0005649599,0.0004439867,0.0001165664,0.0002870089,0.0004221266,0.0002752469,0.0001036834,0.001569388,0.0000314298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263462,"about_ca_system_score_gemma":0.0006944456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004145832,"about_ca_topic_score_gemma":0.00004415945,"domain_scores_codex":[0.9950679,0.0002657663,0.001089468,0.0009800738,0.001506441,0.001090333],"domain_scores_gemma":[0.9971313,0.0002533788,0.000410157,0.0006049378,0.0006010885,0.0009991506],"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":[0.001106107,0.0002175519,0.001125815,0.005072413,0.0003105055,0.00002292957,0.01782735,0.00002429485,0.00002415791,0.0142565,0.9451742,0.0148382],"study_design_scores_gemma":[0.006917167,0.00706172,0.004724185,0.01077711,0.0003883245,0.00006838158,0.006796421,0.008468824,0.000002740894,0.2717673,0.6821062,0.0009216301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02078088,0.240297,0.06787041,0.135926,0.1548904,0.03401878,0.002371289,0.001945485,0.3418997],"genre_scores_gemma":[0.08304956,0.007461165,0.0116024,0.004524948,0.04773965,0.002000453,0.02511635,0.0009990461,0.8175064],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4756067,"threshold_uncertainty_score":0.9998012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2440086171551391,"score_gpt":0.4133197712343906,"score_spread":0.1693111540792515,"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."}}