{"id":"W20151848","doi":"10.3109/09687681003588020","title":"Effectiveness Evaluation Model for Public Alert Systems","year":2014,"lang":"en","type":"article","venue":"Molecular Membrane Biology","topic":"Information and Cyber Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Risk analysis (engineering); Perspective (graphical); Population; Computer science; Action (physics); Computer security; Channel (broadcasting); Operations research; Management science; Business; Engineering; Telecommunications; Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001824154,0.0001097573,0.0001661779,0.00009843801,0.00009280411,0.00008587517,0.0004599744,0.0001187399,0.000002741007],"category_scores_gemma":[0.000182759,0.00009793495,0.00007062689,0.0001314695,0.00002838837,0.0002287698,0.00007637974,0.00005708952,0.00002648454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004352077,"about_ca_system_score_gemma":0.00008413139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008089593,"about_ca_topic_score_gemma":0.000001464519,"domain_scores_codex":[0.9987318,0.0004248764,0.0001921099,0.0002594668,0.0001473374,0.0002444058],"domain_scores_gemma":[0.9990583,0.00009657959,0.00008340643,0.000408642,0.000290559,0.00006250456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007262416,0.00002209595,0.00002194569,0.0000713552,0.00001905066,1.647067e-7,0.0001419254,0.006796786,0.0300313,0.9514867,0.00003291241,0.0113685],"study_design_scores_gemma":[0.0006937006,0.00008347297,0.00006894649,0.000006788268,0.00000702124,0.000005863502,0.00000306965,0.9800666,0.009368395,0.006534579,0.003035689,0.0001259023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04443488,0.00009105352,0.952041,0.0002395448,0.0005047161,0.0005881037,0.000002903291,0.00009762554,0.002000143],"genre_scores_gemma":[0.9959738,0.000001670986,0.003269142,0.0003874911,0.00002535982,0.00027173,0.00004936455,0.000006095125,0.00001536011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9732698,"threshold_uncertainty_score":0.3993671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272689683327587,"score_gpt":0.2772386613268845,"score_spread":0.2499696929941257,"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."}}