{"id":"W2029987409","doi":"10.1097/01.hp.0000258923.98751.b3","title":"Exercise Maritime Response (EXMR): Lessons Learned for Population Monitoring and Communications","year":2007,"lang":"en","type":"article","venue":"Health Physics","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Emergency response; Terrorism; Population; Radiological weapon; Aeronautics; Radioactive contamination; Test (biology); Medical emergency; Environmental health; Engineering; Operations management; Public relations; Business; Medicine; Political science; Contamination","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009615227,0.0009879401,0.0005184638,0.0008811539,0.00359544,0.004090913,0.003627504,0.004151571,0.005288644],"category_scores_gemma":[0.01457705,0.0003620245,0.0004755745,0.0006247518,0.003098922,0.004491061,0.004140229,0.005054413,0.001497857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003382102,"about_ca_system_score_gemma":0.007495661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02455215,"about_ca_topic_score_gemma":0.04229694,"domain_scores_codex":[0.9957431,0.00231239,0.0001305987,0.0003317804,0.0009990992,0.0004830697],"domain_scores_gemma":[0.9877474,0.006151893,0.0002813604,0.0004868596,0.002381463,0.002950999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000806516,0.000907245,0.004978126,0.001331241,0.00003670752,0.001674485,0.02848187,0.004050717,0.001871602,0.01093042,0.1580693,0.7875876],"study_design_scores_gemma":[0.0001145768,0.0008881091,0.009782548,0.002575685,0.00004073689,0.002175491,0.1052158,0.006380075,0.002826892,0.04568964,0.8241032,0.0002072838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1030432,0.02546165,0.1258365,0.6262186,0.006562497,0.001376837,0.0005181396,0.002087897,0.1088947],"genre_scores_gemma":[0.5221721,0.04482111,0.3034209,0.05729008,0.004142072,0.001114512,0.0006230386,0.0006218597,0.06579435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02455215,"threshold_uncertainty_score":0.05085081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08101874792204783,"score_gpt":0.3914017524071116,"score_spread":0.3103830044850637,"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."}}