{"id":"W2997361729","doi":"10.1371/journal.pone.0226489","title":"Are we prepared? The development of performance indicators for public health emergency preparedness using a modified Delphi approach","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Disaster Response and Management","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health; University of Ottawa; Government of British Columbia; Public Health Ontario; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Delphi method; Preparedness; Resilience (materials science); Public health; Emergency management; Psychology; Environmental resource management; Medicine; Political science; Computer science; Nursing; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001509759,0.0001629853,0.0003826025,0.0002025819,0.0005858715,0.000007958832,0.0004007277,0.0000805193,0.0001521865],"category_scores_gemma":[0.00007515631,0.0001204417,0.00005394305,0.0003657745,0.00002663764,0.0001551119,0.0002815678,0.0001734387,0.0000278763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974081,"about_ca_system_score_gemma":0.0007605624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000100853,"about_ca_topic_score_gemma":0.0000317147,"domain_scores_codex":[0.9975237,0.0002840645,0.0008299227,0.000325264,0.000449185,0.0005878249],"domain_scores_gemma":[0.9982008,0.00008026663,0.0008929101,0.0005567769,0.0001423027,0.0001269528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001085713,0.008387997,0.1091098,0.03918298,0.002232102,3.447114e-7,0.8183985,0.0003499015,0.0009808936,0.004094957,0.005248731,0.0109281],"study_design_scores_gemma":[0.01031325,0.00104084,0.05889751,0.009749636,0.000688952,0.000001263787,0.6898388,0.1131547,0.001189136,0.0005698614,0.1121133,0.002442656],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849706,0.0001692141,0.005334321,0.0005561795,0.0001573478,0.0044246,0.00002150934,0.00006051461,0.004305748],"genre_scores_gemma":[0.9897254,0.00007366503,0.006117057,0.0002260055,0.00005174092,0.001188423,0.00002975725,0.00003448695,0.002553471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285597,"threshold_uncertainty_score":0.491147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4044467542674063,"score_gpt":0.403842593219711,"score_spread":0.0006041610476952841,"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."}}