{"id":"W2473918726","doi":"10.1080/10410236.2016.1196414","title":"Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study","year":2016,"lang":"en","type":"article","venue":"Health Communication","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme; Queen's University; Queen's University Belfast; European Commission","keywords":"Stakeholder; Crisis communication; Health communication; Government (linguistics); Models of communication; Agent-based model; Computer science; Public health; Management science; Knowledge management; Public relations; Process management; Data science; Psychology; Business; Political science; Engineering; Medicine; Artificial intelligence; Nursing","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":[0.007893248,0.0001760782,0.0005770777,0.00005807918,0.001222769,0.00001337953,0.0008624359,0.00005861919,0.00001616898],"category_scores_gemma":[0.003706163,0.0001002193,0.0001139058,0.000192303,0.0001718726,0.00007824271,0.0003756949,0.0001911639,0.000004559774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003915149,"about_ca_system_score_gemma":0.0002786636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004117232,"about_ca_topic_score_gemma":0.004817619,"domain_scores_codex":[0.9949924,0.002956902,0.001258918,0.0002341516,0.0002185537,0.0003391015],"domain_scores_gemma":[0.9796872,0.01610024,0.0009603907,0.002856185,0.0002971037,0.00009888929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001691739,0.02145015,0.07562406,0.01034084,0.001416844,0.00001294921,0.1394619,0.01146377,0.0001389811,0.3024999,0.133178,0.302721],"study_design_scores_gemma":[0.01969921,0.008338332,0.01009736,0.005381375,0.0005028578,0.0001444131,0.08860178,0.3867381,0.0001335929,0.4137009,0.06434823,0.00231389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3490448,0.01653148,0.2618713,0.363675,0.000087887,0.008216108,0.00009918948,0.0003454653,0.0001287623],"genre_scores_gemma":[0.9633909,0.002025277,0.02869665,0.005263689,0.00001777922,0.0005467047,0.00001011438,0.00002448252,0.00002439592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6143461,"threshold_uncertainty_score":0.9404675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6205770756235665,"score_gpt":0.5490264370480592,"score_spread":0.07155063857550725,"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."}}