{"id":"W2483332504","doi":"10.4018/978-1-4666-4309-3.ch013","title":"From Data-Centered to Activity-Centered Geospatial Visualizations","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in data mining and database management book series","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Geospatial analysis; Computer science; Visualization; Popularity; Geovisualization; Data science; Data visualization; Human–computer interaction; Focus (optics); Information visualization; World Wide Web; Data mining; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006988558,0.0003853159,0.0004955077,0.0003347355,0.0005982349,0.0003698007,0.001934363,0.0001232128,0.002395292],"category_scores_gemma":[0.000210168,0.0004275685,0.00003603691,0.0001388154,0.0004245481,0.005990415,0.00318572,0.0001851512,0.0001237476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000926453,"about_ca_system_score_gemma":0.00009070876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005508378,"about_ca_topic_score_gemma":0.1386907,"domain_scores_codex":[0.9968714,0.0001458222,0.0005171289,0.001516366,0.0005552612,0.0003940205],"domain_scores_gemma":[0.9961293,0.000245884,0.0002794166,0.003082545,0.00006492107,0.0001978862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00035741,0.0004206613,0.0006007078,0.0007312256,0.0008861275,0.0001354999,0.008982106,0.00008611747,0.000006672224,0.1055015,0.1458398,0.7364521],"study_design_scores_gemma":[0.0002968693,0.0000253374,0.00003950098,0.0006105956,0.0002279701,1.836932e-7,0.002919259,0.0007066466,0.000001408712,0.0007381589,0.9939805,0.0004536294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001112013,0.01949262,0.06934506,0.006365958,0.002305103,0.005439389,0.1194467,0.0006822243,0.775811],"genre_scores_gemma":[0.006007701,0.1226286,0.03044091,0.002111998,0.001797673,0.0002532942,0.2634005,0.000185361,0.573174],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8481406,"threshold_uncertainty_score":0.9998176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06919051318874063,"score_gpt":0.3541098565831341,"score_spread":0.2849193433943935,"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."}}