{"id":"W3092465449","doi":"10.5194/ica-abs-2-47-2020","title":"Design strategies for airline route maps, learning from the past","year":2020,"lang":"en","type":"article","venue":"Abstracts of the ICA","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Projection (relational algebra); Map projection; Clutter; Geography; Artificial intelligence; Telecommunications; Algorithm; Radar","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003858435,0.00007586266,0.0001146662,0.00001038055,0.0005942134,0.00005978876,0.0005280653,0.00006544704,0.00003501953],"category_scores_gemma":[0.000238421,0.00004541939,0.0002007911,0.0003033385,0.0002676714,0.0001096817,0.00002923164,0.0001871686,0.000006927888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008901291,"about_ca_system_score_gemma":0.00009439532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800513,"about_ca_topic_score_gemma":0.0002660179,"domain_scores_codex":[0.9990678,0.0001691457,0.0001743683,0.0001342749,0.0002655861,0.0001887699],"domain_scores_gemma":[0.9989067,0.0006786651,0.0001451776,0.0001318265,0.00006398431,0.00007364539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001277648,0.0006730367,0.04035778,0.0001439897,0.001118077,0.00001367935,0.3061522,0.06685117,0.01623299,0.1224952,0.3743234,0.07036082],"study_design_scores_gemma":[0.0002688795,0.0001487634,0.01969962,0.00002611263,0.00009955878,8.518005e-8,0.0169449,0.00004914724,0.0005074145,0.01850493,0.9435686,0.0001819544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4671762,0.006736678,0.03463657,0.2966026,0.003716642,0.004834707,0.0003256333,0.0008348227,0.1851362],"genre_scores_gemma":[0.9981576,0.00004396735,0.0006603274,0.0005820802,0.0004200681,0.00001105592,0.000004052315,0.000006577945,0.0001143221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5692452,"threshold_uncertainty_score":0.4570269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04262205328985394,"score_gpt":0.2581997835332464,"score_spread":0.2155777302433925,"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."}}