{"id":"W2408645284","doi":"10.1080/03155986.2006.11732743","title":"Steiner Tree Problems With Profits","year":2006,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; HEC Montréal","funders":"","keywords":"Steiner tree problem; Revenue; Travelling salesman problem; Combinatorics; Profit (economics); Computer science; Graph; Mathematics; Tree (set theory); Mathematical optimization; Mathematical economics; Economics; Microeconomics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254362,0.0001076766,0.0001169888,0.0002967197,0.000229933,0.0005965007,0.00008941373,0.00007932145,0.00001729192],"category_scores_gemma":[0.00005215361,0.00008295275,0.00001222179,0.0004135336,0.00005464646,0.00169039,0.0000255371,0.0001894694,0.00007894445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007464411,"about_ca_system_score_gemma":0.00007620849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001426599,"about_ca_topic_score_gemma":0.00001919543,"domain_scores_codex":[0.9984705,0.00005610855,0.0004297417,0.00007585448,0.0007164709,0.0002513534],"domain_scores_gemma":[0.9989555,0.0001022447,0.00003537508,0.0001263351,0.0007141487,0.00006643394],"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":[0.00001085851,0.000005597348,0.002167605,0.0002413063,0.00001448765,4.482913e-7,0.0003922063,0.9494909,0.0001485632,0.04068779,0.003483122,0.003357087],"study_design_scores_gemma":[0.0006809959,0.00007252287,0.004399111,0.00008867571,0.000002350135,0.00003291721,0.0003318668,0.8510604,0.0003100941,0.00002923968,0.1428051,0.0001867589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1890781,0.0006618318,0.3104,0.0005418963,0.0004411456,0.003907038,0.0001093544,0.0008242627,0.4940364],"genre_scores_gemma":[0.9902385,0.00001801068,0.00732342,0.00002748245,0.0001487154,0.0002761601,0.0001703954,0.00001714637,0.00178016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8011605,"threshold_uncertainty_score":0.575207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667131125969007,"score_gpt":0.3026544600794135,"score_spread":0.2659831488197235,"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."}}