{"id":"W1143816795","doi":"10.1177/028072701403200103","title":"Putting it All Together: Integrating Ordinary People into Emergency Response","year":2014,"lang":"en","type":"article","venue":"International Journal of Mass Emergencies & Disasters","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Emergency response; Disaster response; Emergency management; Scale (ratio); Public relations; Business; Political science; Medicine; Medical emergency; Law; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006855718,0.0006874753,0.0005019914,0.001165244,0.007180107,0.008703486,0.001747224,0.003307158,0.006713571],"category_scores_gemma":[0.008077939,0.0004838136,0.0006677411,0.0008216215,0.01199271,0.01027989,0.02235972,0.004790391,0.001709932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002411238,"about_ca_system_score_gemma":0.01034165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003748106,"about_ca_topic_score_gemma":0.007201205,"domain_scores_codex":[0.9915729,0.0057788,0.0002661067,0.0004108943,0.0008385122,0.001132833],"domain_scores_gemma":[0.9953598,0.001057317,0.0002972621,0.0003346903,0.0005583187,0.002392707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000160342,0.000834112,0.01481376,0.00148985,0.00008989336,0.002677711,0.5977167,0.001271062,0.004196387,0.09253176,0.02776879,0.2564496],"study_design_scores_gemma":[0.00004455067,0.0006064576,0.01184564,0.001668304,0.00007371845,0.001509212,0.4934114,0.001061946,0.001246399,0.07729563,0.4110767,0.0001601018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3432575,0.008174795,0.08420906,0.1387291,0.004250233,0.001247258,0.0001030901,0.001124582,0.4189043],"genre_scores_gemma":[0.9106236,0.004145625,0.05164843,0.0130913,0.0005494549,0.0003666729,0.00009318849,0.000168039,0.0193136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008703486,"threshold_uncertainty_score":0.03625691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168676589112079,"score_gpt":0.3280515169625832,"score_spread":0.3111838580513753,"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."}}