{"id":"W4411586169","doi":"10.1007/s40314-025-03297-6","title":"Two maps of Georgia based on solving semi-discrete optimal transport problems: congressional districts and power plants maps","year":2025,"lang":"en","type":"article","venue":"Computational and Applied Mathematics","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Power (physics); Computer science; Mathematical optimization; Operations research; Geography; Mathematics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003360038,0.0004812534,0.0005125956,0.00152434,0.0006053065,0.001712853,0.0006044763,0.0008544971,0.004119373],"category_scores_gemma":[0.002284426,0.000334168,0.0005961066,0.001692959,0.0007340631,0.0008287478,0.0007387171,0.0007076821,0.0002457589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171541,"about_ca_system_score_gemma":0.001800901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1420986,"about_ca_topic_score_gemma":0.1695694,"domain_scores_codex":[0.9997893,0.00009278532,0.000005152481,0.00003687209,0.00004196001,0.00003400696],"domain_scores_gemma":[0.9994059,0.0003095216,0.00003736465,0.00006571136,0.0001374396,0.00004399077],"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":[0.0001719955,0.00008008065,0.005192729,0.0001116695,0.00003499319,0.000133078,0.0002699788,0.9245999,0.000837335,0.04109428,0.003728105,0.02374574],"study_design_scores_gemma":[0.00002609819,0.00003498925,0.008941637,0.00002984894,0.0000210863,0.00003208762,0.0005227134,0.9685752,0.000826403,0.01543704,0.005520456,0.0000323328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423156,0.0003301286,0.09351555,0.001154218,0.0001291615,0.0001980326,0.004689225,0.0009318697,0.05673632],"genre_scores_gemma":[0.9525878,0.0001266831,0.04100771,0.0000274507,0.00001314742,0.00004847954,0.001894687,0.00007424656,0.004219846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1420986,"threshold_uncertainty_score":0.2825429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006787889457023079,"score_gpt":0.2034118854398156,"score_spread":0.1966239959827925,"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."}}