{"id":"W2053173245","doi":"10.1002/net.21531","title":"Minisum multipurpose trip location problem on trees","year":2013,"lang":"en","type":"article","venue":"Networks","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Facility location problem; Type (biology); Computer science; Node (physics); Type of service; Service (business); Tree (set theory); Mathematical optimization; Flow network; Transportation theory; 1-center problem; Fixed cost; Operations research; Mathematics; Combinatorics; Engineering; Business","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002029961,0.000160452,0.0001226353,0.0001342906,0.0001458158,0.000217332,0.0001994638,0.00008012654,0.001310336],"category_scores_gemma":[0.00005616319,0.00014386,0.00004545989,0.0005718193,0.00002808408,0.0006222829,0.00006940902,0.0001208057,0.00422653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002647069,"about_ca_system_score_gemma":0.000007741017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166961,"about_ca_topic_score_gemma":0.0007353209,"domain_scores_codex":[0.9989566,0.00001091921,0.0002710864,0.0002771406,0.0002071248,0.0002771312],"domain_scores_gemma":[0.9993867,0.00001931639,0.00006624086,0.0002930391,0.0002184143,0.0000163122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005805683,0.0004984564,0.006274294,0.0003032848,0.00005693508,0.00000188505,0.00009797146,0.2800055,0.00003456198,0.02054416,0.4700326,0.2220923],"study_design_scores_gemma":[0.0007401966,0.00002632313,0.05045835,0.000076859,0.00003410455,1.549331e-7,0.000195937,0.6309195,0.000007379345,0.001056172,0.3161045,0.0003805245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3479547,0.0009568112,0.07526094,0.03201766,0.006838154,0.00820828,0.000003179535,0.002377701,0.5263826],"genre_scores_gemma":[0.9909881,0.00002666387,0.0002192573,0.003669466,0.0009312682,0.0002028074,0.00007084265,0.00001899745,0.003872598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6430334,"threshold_uncertainty_score":0.9996026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796952139596357,"score_gpt":0.2092997124606246,"score_spread":0.1913301910646611,"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."}}