{"id":"W1983283514","doi":"10.3138/carto.48.1.1228","title":"Designing Effective Legends and Layouts with a Focus on Nigerian Topographic Maps","year":2013,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legend; Workflow; Topographic map (neuroanatomy); Focus (optics); Colonialism; Independence (probability theory); Cartography; Computer science; Geography; Archaeology; Database; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001755884,0.0002551491,0.000227964,0.001396759,0.002355892,0.001493516,0.0003381582,0.0001490715,0.00003714494],"category_scores_gemma":[0.0002355701,0.0001767916,0.0001556409,0.0008724135,0.0005923096,0.002272433,0.0000576114,0.0002629935,0.00001055633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003883584,"about_ca_system_score_gemma":0.00006384005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007888802,"about_ca_topic_score_gemma":0.000473146,"domain_scores_codex":[0.9976726,0.0001848056,0.0006255797,0.0001773496,0.0009403792,0.0003993016],"domain_scores_gemma":[0.9967665,0.0003931613,0.0005770023,0.000142761,0.00192295,0.0001976206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005829527,0.0001091399,0.1888169,0.0001087589,0.001503026,0.000003950951,0.07071147,0.0002620018,0.00006711288,0.640897,0.00608761,0.09085009],"study_design_scores_gemma":[0.009749779,0.002336914,0.2574957,0.0008732129,0.0003997451,0.0005117422,0.1597648,0.002071944,0.0002402554,0.1096078,0.4549313,0.002016785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533059,0.001140536,0.06727609,0.03999322,0.004471326,0.009259534,0.0001501952,0.0005540743,0.02384912],"genre_scores_gemma":[0.9961987,0.001034738,0.0002895571,0.001620028,0.0002552097,0.0004561999,0.00006118375,0.00001427748,0.00007007365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5312892,"threshold_uncertainty_score":0.999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009277344472887698,"score_gpt":0.2736437718148167,"score_spread":0.264366427341929,"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."}}