{"id":"W2528198869","doi":"","title":"Crisis Crowdsourcing in Government: Characterising efforts by North American Agencies to Inform Emergency Management Operations","year":2016,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Government (linguistics); Crisis management; Emergency management; Political science; Public administration; Business; Public relations; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000294306,0.0001646021,0.0002622694,0.0002656131,0.0009307942,0.00005895471,0.0005848419,0.00009595232,0.0002945468],"category_scores_gemma":[0.00002058518,0.0001855269,0.00009881747,0.000807686,0.00006482992,0.0006440327,0.0001072009,0.0001360531,0.00004297927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005440835,"about_ca_system_score_gemma":0.0000654582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1039416,"about_ca_topic_score_gemma":0.540508,"domain_scores_codex":[0.9985482,0.00009224963,0.0002338444,0.0002630977,0.0005584037,0.0003041906],"domain_scores_gemma":[0.9991076,0.00001667124,0.0002504714,0.0003722256,0.0001319753,0.0001210608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000782969,0.0001444134,0.02173614,0.0001025048,0.0001713639,0.000006815915,0.9067888,0.00009479146,0.0005147996,0.002326333,0.009673381,0.05836241],"study_design_scores_gemma":[0.0002092646,0.00004531718,0.1596037,0.0001163207,0.0000729251,8.472362e-8,0.8046533,0.0000377418,0.0000612269,0.00002807331,0.03480194,0.0003700292],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844921,0.00003527255,0.0000764674,0.00387592,0.0001610414,0.0004205397,0.00006496802,0.00003443584,0.01083931],"genre_scores_gemma":[0.7508407,0.001698829,0.000640625,0.00002866659,0.00002074961,0.000004873339,0.0003067013,0.00001461733,0.2464443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4365663,"threshold_uncertainty_score":0.9020253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009288228864686075,"score_gpt":0.2405458425339171,"score_spread":0.2312576136692311,"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."}}