{"id":"W2165940373","doi":"10.3138/carto.42.3.219","title":"Map Projections Minimizing Distance Errors","year":2007,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Azimuth; Logarithm; Projection (relational algebra); Mathematics; Map projection; Geometry; Mercator projection; Atlas (anatomy); Combinatorics; Geodesy; Mathematical analysis; Algorithm; Computer science; Geography; Artificial intelligence; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001522774,0.002417353,0.001285032,0.001433312,0.0008303785,0.002179587,0.001061475,0.00153168,0.006470662],"category_scores_gemma":[0.01104165,0.0008045205,0.001049589,0.001281116,0.001050899,0.002352885,0.003552271,0.002081542,0.003361152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007738106,"about_ca_system_score_gemma":0.001754607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111172,"about_ca_topic_score_gemma":0.002069482,"domain_scores_codex":[0.9983347,0.0003607825,0.00008790967,0.0003346658,0.0007527776,0.0001291357],"domain_scores_gemma":[0.9966942,0.001172657,0.0001994385,0.0005450674,0.001238056,0.0001504883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003670362,0.000115733,0.002009464,0.0004349794,0.0001125799,0.0002197247,0.0004237611,0.5281956,0.01516498,0.04889643,0.01473139,0.3893284],"study_design_scores_gemma":[0.00007108255,0.0003196295,0.001321389,0.00008577358,0.00005918058,0.0004674351,0.0002544775,0.8915335,0.02542456,0.05819123,0.0222038,0.00006791088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01970611,0.0003061657,0.9713486,0.000247618,0.000147506,0.0001207444,0.0002634983,0.001573362,0.006286377],"genre_scores_gemma":[0.1740503,0.0006071012,0.8113628,0.0001565466,0.0001243545,0.0003833163,0.001162142,0.001189913,0.01096348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006470662,"threshold_uncertainty_score":0.0216465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440339024750708,"score_gpt":0.3202914776252863,"score_spread":0.3058880873777792,"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."}}