{"id":"W1986726438","doi":"10.1145/1042091.1042097","title":"Intelligent mobile crisis response systems","year":2005,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Crisis response; Property (philosophy); Computer science; Order (exchange); Computer security; Risk analysis (engineering); Business; Public relations; Political science","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":[0.000609372,0.0009653019,0.0004711744,0.001089845,0.0007780156,0.002232259,0.001195768,0.001567312,0.01675831],"category_scores_gemma":[0.00187636,0.0002541055,0.0002497244,0.0007111676,0.0004324227,0.002020684,0.002106691,0.0006962579,0.008155917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005366371,"about_ca_system_score_gemma":0.0006461882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380758,"about_ca_topic_score_gemma":0.001840119,"domain_scores_codex":[0.9994997,0.00008964651,0.00003599286,0.0001072241,0.0001677906,0.00009969234],"domain_scores_gemma":[0.9992678,0.0001329598,0.0001129628,0.000127769,0.0002595626,0.00009900389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007707574,0.0002962076,0.005583857,0.001073813,0.0002220893,0.0008308377,0.001081283,0.02111992,0.05471496,0.06500238,0.2177121,0.6315918],"study_design_scores_gemma":[0.0002479947,0.0008707197,0.004661565,0.0003876418,0.0002165872,0.000913277,0.0008188101,0.1128078,0.01915691,0.04468816,0.8151059,0.0001247238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06205226,0.008956968,0.713456,0.008938028,0.003493521,0.00183136,0.00438439,0.02742015,0.1694673],"genre_scores_gemma":[0.7586149,0.00580881,0.1351773,0.004169573,0.001221219,0.0009610851,0.006277306,0.0004092219,0.08736067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01675831,"threshold_uncertainty_score":0.05606216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744141799195383,"score_gpt":0.368114031192712,"score_spread":0.3106726132007582,"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."}}