{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00312801,0.0003336342,0.0002782696,0.002888534,0.006939374,0.003726866,0.001110881,0.001021426,0.002256403],"category_scores_gemma":[0.01291008,0.0002960821,0.0002083315,0.004085923,0.002754539,0.00186741,0.003478247,0.001213127,0.0005074777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01497427,"about_ca_system_score_gemma":0.02600165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6767044,"about_ca_topic_score_gemma":0.8099338,"domain_scores_codex":[0.9965206,0.001211868,0.0001684409,0.0003550676,0.001092891,0.0006511343],"domain_scores_gemma":[0.9855547,0.0042734,0.002008217,0.0007491253,0.005483329,0.001931137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004209996,0.0004221136,0.4030207,0.0006102279,0.00006355367,0.0009046398,0.4752181,0.001468955,0.002779459,0.003457875,0.02533835,0.08629503],"study_design_scores_gemma":[0.000009723629,0.0000703671,0.2563613,0.0001482058,0.00001640907,0.00008076519,0.7019466,0.0009907698,0.0002988233,0.0003060758,0.03971606,0.00005485984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812982,0.000299165,0.0005891119,0.00180803,0.0000334965,0.0002583626,0.000425644,0.00004331009,0.01524467],"genre_scores_gemma":[0.9938672,0.0004745152,0.0009825284,0.0003989909,0.00001301706,0.0001777114,0.0003599481,0.00001775761,0.003708264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6767044,"threshold_uncertainty_score":0.6503991,"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."}}