{"id":"W4221121500","doi":"10.3390/ijgi11040223","title":"Perspective Charts in a Multi-Foci Globe-Based Visualization of COVID-19 Data","year":2022,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Bar chart; Perspective (graphical); Computer science; Zoom; Geospatial analysis; Projection (relational algebra); Readability; Scale (ratio); Data visualization; Globe; Data science; Chart; Pie chart; Data mining; Artificial intelligence; Cartography; Geography; Statistics; Mathematics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001255862,0.0001000779,0.000166792,0.0009956012,0.00009605485,0.0001818391,0.002092762,0.00003223445,0.0001352911],"category_scores_gemma":[0.0009806849,0.0001033568,0.00006583556,0.0006090243,0.00003318707,0.004970542,0.0005491444,0.0001567038,0.000009829806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006780645,"about_ca_system_score_gemma":0.0007720097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714594,"about_ca_topic_score_gemma":0.00002097352,"domain_scores_codex":[0.9975944,0.0001403199,0.0008664509,0.0001176521,0.001162727,0.000118508],"domain_scores_gemma":[0.9973562,0.00008232988,0.001161282,0.0003169597,0.0009887307,0.00009454712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006373793,0.001824963,0.015136,0.0001447117,0.0003793531,0.000103058,0.03095642,0.295643,0.0002644518,0.5985609,0.03703856,0.01931113],"study_design_scores_gemma":[0.002579495,0.0001572392,0.001405133,0.00003306218,0.0000119026,0.00007403364,0.0022621,0.9372463,0.0001707786,0.0009665191,0.05494584,0.0001475602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001436735,0.0000393487,0.9934301,0.003574931,0.0008114708,0.0001194622,0.0003040362,0.00002203496,0.0002619075],"genre_scores_gemma":[0.9827976,0.00005135647,0.01131753,0.004886742,0.00007148118,0.000005386215,0.0008327768,0.000006351722,0.00003076191],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9821125,"threshold_uncertainty_score":0.4214766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05323685806349747,"score_gpt":0.3881288464438666,"score_spread":0.3348919883803691,"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."}}