{"id":"W4415008118","doi":"10.2139/ssrn.5581632","title":"Spatial Network Design for Public Services","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Kellogg's (Canada); University of Waterloo","funders":"","keywords":"Service (business); Optimal design; Service provider; Service system; Level of service; Service level; Set (abstract data type)","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009321982,0.000318929,0.000364736,0.000186669,0.0001946035,0.0002140614,0.0007969636,0.0004618019,0.00001314942],"category_scores_gemma":[0.00002556526,0.0003093241,0.0002276632,0.0001272243,0.00002568271,0.00008270537,0.000238263,0.003365835,0.000004322342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009114028,"about_ca_system_score_gemma":0.001362579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005331448,"about_ca_topic_score_gemma":0.001322281,"domain_scores_codex":[0.9966024,0.00003175382,0.0003404293,0.0002257242,0.0001505946,0.002649079],"domain_scores_gemma":[0.9993317,0.0001048623,0.0001100645,0.000310572,0.00009646387,0.00004637382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007071508,0.00003301412,0.0005816895,0.0008115141,0.002508083,0.000004370169,0.0001201648,0.5788292,0.00001541687,0.1956988,0.007459032,0.2138679],"study_design_scores_gemma":[0.000399452,0.0001306947,0.00003450149,0.0002007978,0.0001097823,0.0000468163,0.0004495541,0.0652599,0.0000872254,0.9027166,0.0301309,0.0004337881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003986599,0.02254372,0.9677008,0.0006971635,0.002971425,0.0004907614,0.00002349201,0.0008266909,0.0007593896],"genre_scores_gemma":[0.9449132,0.03983634,0.00998834,0.0001037828,0.003532593,0.0002777777,0.00006490499,0.0001135693,0.00116947],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9577124,"threshold_uncertainty_score":0.9999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478144839934949,"score_gpt":0.2177403061460368,"score_spread":0.2029588577466873,"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."}}