{"id":"W2941234011","doi":"10.1089/hs.2018.0062","title":"The Role and Function of the Liaison Officer: Lessons Learned and Applied after Superstorm Sandy","year":2019,"lang":"en","type":"article","venue":"Health Security","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"","keywords":"Officer; Staffing; Agency (philosophy); Public health; Emergency management; Public relations; Engineering; Medicine; Nursing; Political science; Business; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006271754,0.00004946292,0.00008283466,0.00001298852,0.0004904843,0.00004677616,0.000101677,0.00003568434,0.00002772122],"category_scores_gemma":[0.00001162402,0.00002894329,0.00001782588,0.0001011997,0.0002446224,0.00006954174,0.00007466726,0.00008825245,0.000006411998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002082558,"about_ca_system_score_gemma":0.0000636274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009229816,"about_ca_topic_score_gemma":0.005607319,"domain_scores_codex":[0.9992758,0.0001038104,0.00009996322,0.0001371462,0.0001979708,0.0001852961],"domain_scores_gemma":[0.9996693,0.00006174763,0.00006458542,0.0001349137,0.00001503439,0.0000544554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004962586,0.0001430077,0.2286069,0.000386587,0.00003288624,1.667114e-7,0.1793377,0.000003393203,0.0001283019,0.3512847,0.002024389,0.2375557],"study_design_scores_gemma":[0.0004245496,0.00009325561,0.4405424,0.00003842434,0.00001383515,1.227079e-7,0.05315272,0.00006448436,0.00002114137,0.00968999,0.4958529,0.0001061584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608866,0.001597023,0.000002302839,0.007510103,0.0002251083,0.0004063766,0.000002070695,0.00001315759,0.02935728],"genre_scores_gemma":[0.9979942,0.0008298989,0.000002480099,0.0003300195,0.00003999341,0.000008852121,3.374456e-7,0.000002809418,0.0007914008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4938286,"threshold_uncertainty_score":0.3772458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473687061884987,"score_gpt":0.2930222686669283,"score_spread":0.2782853980480784,"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."}}