{"id":"W2301591175","doi":"10.1017/s1049023x1600011x","title":"International Consensus on Key Concepts and Data Definitions for Mass-gathering Health: Process and Progress","year":2016,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Travel-related health issues","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Columbian Hospital; University of Victoria; University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Delphi method; Process (computing); Standardization; Mass gathering; Data collection; Public relations; Data science; Computer science; Medicine; Political science; Sociology; Public health; Nursing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.7020351,0.003634258,0.007144338,0.02777361,0.01283315,0.03754412,0.02157561,0.02020537,0.006005724],"category_scores_gemma":[0.6329589,0.004511756,0.007687746,0.02579677,0.03678349,0.04230896,0.04858385,0.04327277,0.003411467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04682603,"about_ca_system_score_gemma":0.2001908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122305,"about_ca_topic_score_gemma":0.005893898,"domain_scores_codex":[0.3334399,0.4261371,0.1146868,0.02498912,0.09055702,0.01019013],"domain_scores_gemma":[0.2293683,0.4907835,0.03550057,0.05396299,0.1697748,0.02060985],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002832914,0.0004560884,0.004104105,0.03055939,0.0004035909,0.0006550562,0.1254569,0.002644418,0.001590592,0.4768127,0.07509194,0.281942],"study_design_scores_gemma":[0.0001998723,0.0003529124,0.003568853,0.08017155,0.0002803929,0.000583161,0.07558527,0.003233349,0.0023771,0.3628763,0.4702254,0.0005459239],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0108761,0.04067541,0.4115826,0.4532839,0.01829411,0.01833048,0.001998031,0.0009845514,0.04397466],"genre_scores_gemma":[0.09927415,0.02680237,0.795114,0.03566977,0.002150479,0.0314863,0.004431333,0.0007784934,0.004293148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7020351,"threshold_uncertainty_score":0.3674439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09893427872912337,"score_gpt":0.4043589779070548,"score_spread":0.3054246991779314,"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."}}