{"id":"W2508985924","doi":"10.1093/acrefore/9780199389407.013.21","title":"Old Media, New Media, and the Complex Story of Disasters","year":2016,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Natural Hazard Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Natural disaster; Social media; Terrorism; Nothing; Emergency management; News media; Media studies; Political science; Public relations; Geography; Engineering; Sociology; Meteorology","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":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01033468,0.0003864293,0.0008547862,0.001023226,0.001592865,0.0002246282,0.004718983,0.0002961239,0.0002477043],"category_scores_gemma":[0.009040264,0.0002158192,0.0002255891,0.002404897,0.03171601,0.0009183035,0.001740947,0.001626402,0.00002024321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002597114,"about_ca_system_score_gemma":0.003393682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427057,"about_ca_topic_score_gemma":0.003778155,"domain_scores_codex":[0.9886175,0.001494749,0.0006854056,0.0009772258,0.006695591,0.001529525],"domain_scores_gemma":[0.9909765,0.00603619,0.0005339831,0.0008789646,0.000917586,0.0006568187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000380311,0.00007416048,0.0006587994,0.0003271489,0.00005666079,0.00001089183,0.0307661,6.126859e-7,0.00001855207,0.05769568,0.176483,0.733528],"study_design_scores_gemma":[0.001462699,0.0001138952,0.004415475,0.0008835702,0.00005282303,0.000001438174,0.0143939,0.0000211542,0.000009906102,0.01041355,0.9677949,0.0004367225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0170434,0.00843365,0.00002058657,0.008050985,0.00398254,0.001383535,0.0001217319,0.00004014748,0.9609234],"genre_scores_gemma":[0.1443629,0.572119,0.0004156909,0.0001038467,0.00181913,0.00004221063,0.00002246872,0.00003760234,0.2810772],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7913118,"threshold_uncertainty_score":0.9997069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06126532193109242,"score_gpt":0.3590627529421293,"score_spread":0.2977974310110369,"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."}}