{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393248,0.0005401861,0.0006289677,0.0009561996,0.001037746,0.002412861,0.001081135,0.001144015,0.01716021],"category_scores_gemma":[0.00537961,0.0005551401,0.0007519277,0.00152898,0.001122196,0.003054264,0.00186498,0.0007863808,0.001554502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926592,"about_ca_system_score_gemma":0.001861958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009670207,"about_ca_topic_score_gemma":0.01152693,"domain_scores_codex":[0.998897,0.000505209,0.00004141214,0.0001848647,0.000225022,0.000146466],"domain_scores_gemma":[0.9981895,0.0008031818,0.0001478987,0.000275015,0.0004632992,0.0001211011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008861164,0.00005334187,0.001172721,0.000119222,0.00003168864,0.00009115649,0.0002729873,0.231206,0.001527679,0.7232838,0.005878469,0.03627429],"study_design_scores_gemma":[0.00002375573,0.0000463418,0.0003223398,0.00003229963,0.00003162811,0.00008482918,0.000320208,0.6106278,0.0009789709,0.3682179,0.0192992,0.00001460825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02602921,0.000279986,0.9428785,0.001059201,0.00008006302,0.0001215597,0.0003445733,0.0001939205,0.02901303],"genre_scores_gemma":[0.7393463,0.0009333496,0.2138741,0.0002195734,0.0001384997,0.0003014069,0.0005527177,0.0002334117,0.04440064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01716021,"threshold_uncertainty_score":0.0574066,"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."}}