{"id":"W1504960282","doi":"10.1111/j.1475-3995.2012.00847.x","title":"The capacitated transshipment location problem with stochastic handling utilities at the facilities","year":2012,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"Canada Research Chairs","keywords":"Transshipment (information security); Heuristics; Mathematical optimization; Facility location problem; Computer science; Operations research; Stochastic programming; Expected utility hypothesis; Probability distribution; Expected value; Mathematics; Mathematical economics; Statistics","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":[0.001182346,0.001180566,0.001295172,0.0008766477,0.0005386028,0.001620908,0.001934815,0.001761112,0.003744572],"category_scores_gemma":[0.003460045,0.0008932758,0.001144186,0.002246684,0.0008563453,0.001717477,0.001036597,0.001029052,0.0003098752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690177,"about_ca_system_score_gemma":0.001301302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007306439,"about_ca_topic_score_gemma":0.004912437,"domain_scores_codex":[0.9987715,0.0006541379,0.00005246267,0.0002075465,0.0001245729,0.0001897431],"domain_scores_gemma":[0.9981815,0.001191305,0.0002100942,0.00009811402,0.000147668,0.0001713435],"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":[0.00004874629,0.00002212534,0.0002564056,0.00003031203,0.0000245924,0.0001044462,0.00002115832,0.9907469,0.0002645551,0.005190849,0.0003206067,0.002969319],"study_design_scores_gemma":[0.00001791859,0.0000257148,0.0001345141,0.000005379361,0.00001024277,0.00005719094,0.00002465539,0.9932561,0.0002624441,0.005951706,0.0002445194,0.000009488715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3033318,0.0003837427,0.6873217,0.0007037005,0.00005940699,0.0001432856,0.00092099,0.0003440438,0.006791353],"genre_scores_gemma":[0.9521327,0.0001793657,0.04343025,0.00003803508,0.00003447481,0.0001365671,0.0004349901,0.00005154329,0.003561983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007306439,"threshold_uncertainty_score":0.0145278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09919106409238046,"score_gpt":0.329836112089345,"score_spread":0.2306450479969646,"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."}}