{"id":"W1967784797","doi":"10.1109/pacificvis.2014.55","title":"Revisiting Crisis Maps with Geo-temporal Tag Visualization","year":2014,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Visualization; Computer science; Representation (politics); Geovisualization; Data visualization; Social media; Data science; State (computer science); Key (lock); Point (geometry); Information visualization; Information retrieval; Data mining; World Wide Web; Computer security","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":[0.004078483,0.0008868246,0.0004317986,0.003883257,0.0008543794,0.005066131,0.001032178,0.0009792915,0.004203389],"category_scores_gemma":[0.02332193,0.0004767981,0.0005320201,0.004334863,0.001008427,0.005052895,0.003516499,0.001242685,0.001095129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006525817,"about_ca_system_score_gemma":0.00103576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006641679,"about_ca_topic_score_gemma":0.008498601,"domain_scores_codex":[0.9977466,0.001202422,0.0001138133,0.0002000887,0.0006180576,0.0001189985],"domain_scores_gemma":[0.9881599,0.006793427,0.000726569,0.002093117,0.002018401,0.0002086027],"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":[0.00119345,0.0004581257,0.0343879,0.003635454,0.0002120436,0.002936937,0.09956508,0.0546358,0.0395024,0.06000473,0.0761975,0.6272706],"study_design_scores_gemma":[0.0002000751,0.0003533039,0.03630447,0.001272334,0.0002074219,0.001802712,0.04934363,0.3120272,0.04288183,0.08267786,0.4724852,0.0004439153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3668975,0.00188984,0.5519625,0.006393979,0.0008873491,0.0006551522,0.01313218,0.02335568,0.03482593],"genre_scores_gemma":[0.7044647,0.001311851,0.2835461,0.0002176818,0.0001507067,0.0003952193,0.00464209,0.001810493,0.003461164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006641679,"threshold_uncertainty_score":0.02156931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516279055311636,"score_gpt":0.289416221978354,"score_spread":0.2742534314252377,"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."}}