{"id":"W2060798327","doi":"10.1002/net.20408","title":"Big segment small segment global optimization algorithm on networks","year":2010,"lang":"en","type":"article","venue":"Networks","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facility location problem; 1-center problem; Computer science; Cover (algebra); Mathematical optimization; Algorithm; Function (biology); Optimization problem; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001032952,0.001027858,0.001214716,0.0009257853,0.0005407608,0.00081126,0.001298641,0.001049122,0.005583303],"category_scores_gemma":[0.001876785,0.0004870549,0.0005440486,0.001340857,0.0007873261,0.001471517,0.001377921,0.0008869172,0.0006681848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121341,"about_ca_system_score_gemma":0.0008942841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006144471,"about_ca_topic_score_gemma":0.005523421,"domain_scores_codex":[0.9996013,0.0001644485,0.00001269433,0.00008518893,0.0000809301,0.00005538102],"domain_scores_gemma":[0.999353,0.0003721903,0.00005639853,0.00006159217,0.0001144842,0.00004241861],"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":[0.0001137064,0.00003269726,0.0002857197,0.00003701387,0.00002215537,0.00002651784,0.00003541592,0.9520563,0.0007187172,0.006966734,0.001487789,0.03821727],"study_design_scores_gemma":[0.000009407516,0.00002302573,0.00004576036,0.000002208937,0.000002595576,0.000004239992,0.000005813495,0.9961848,0.0001635612,0.003264633,0.0002921509,0.000001783751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0208273,0.0001887729,0.9749945,0.000154201,0.00002263127,0.00004716356,0.00007594552,0.0004644541,0.003224988],"genre_scores_gemma":[0.4774168,0.000210227,0.5125094,0.0001428729,0.00007206052,0.0003382471,0.0005208018,0.000338782,0.008450746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006144471,"threshold_uncertainty_score":0.01867807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670503028694023,"score_gpt":0.2133981429654627,"score_spread":0.1966931126785224,"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."}}