{"id":"W2944491260","doi":"10.1017/s1049023x19002280","title":"Collaborative Relationships for Mass Gathering Events","year":2019,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Travel-related health issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health","funders":"","keywords":"Mass gathering; Medical emergency; Acute care; Service (business); Mass-casualty incident; Health care; Event (particle physics); Medicine; Local community; Harm; Public health; Nursing; Psychology; Business; Poison control; Suicide prevention; Political 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":[0.03006866,0.0008614858,0.0008046412,0.001305104,0.00299851,0.004538606,0.002141971,0.001813782,0.03550695],"category_scores_gemma":[0.07384,0.0003744744,0.001540605,0.00119921,0.001660138,0.003924943,0.007774284,0.002440367,0.00253014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003606897,"about_ca_system_score_gemma":0.008775214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771353,"about_ca_topic_score_gemma":0.002792874,"domain_scores_codex":[0.9648126,0.02896063,0.001283325,0.001300551,0.002612287,0.001030545],"domain_scores_gemma":[0.9540126,0.03064581,0.00514726,0.002910457,0.002493732,0.004790166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007924034,0.006543026,0.006626631,0.01339188,0.001195705,0.0003782787,0.01172117,0.003878018,0.0006356259,0.02610613,0.03313097,0.8884686],"study_design_scores_gemma":[0.02517964,0.0431519,0.0304426,0.02936541,0.00338421,0.001100215,0.02645984,0.009248102,0.002921786,0.1225085,0.7059846,0.0002532644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3765246,0.05601017,0.08517309,0.07260879,0.006086995,0.04202894,0.002604988,0.001798782,0.3571637],"genre_scores_gemma":[0.9123732,0.01246193,0.04091708,0.006525021,0.001011627,0.01583908,0.0007803013,0.0001174174,0.009974311],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03550695,"threshold_uncertainty_score":0.1590202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023160919120396,"score_gpt":0.2959498783396367,"score_spread":0.2757182691484327,"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."}}