{"id":"W1606603715","doi":"10.6000/2371-1647.2015.01.02","title":"A Unified Framework for Integer Programming Formulation of Graph Matching Problems","year":2015,"lang":"en","type":"article","venue":"Journal of Advances in Management Sciences & Information Systems","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Integer programming; Computer science; Matching (statistics); Graph; Mathematical optimization; Theoretical computer science; Mathematics; Algorithm; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003992043,0.0001009644,0.000226498,0.0007330405,0.00005113586,0.0001342675,0.0002779467,0.00004700394,7.692457e-7],"category_scores_gemma":[0.0001409748,0.00008525608,0.00005334936,0.0009282145,0.00003720414,0.004354178,0.00002464484,0.0001128787,9.878885e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078076,"about_ca_system_score_gemma":0.00002159504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002820641,"about_ca_topic_score_gemma":9.785603e-7,"domain_scores_codex":[0.9980484,0.00004657208,0.001138814,0.0000590667,0.0005255229,0.0001816407],"domain_scores_gemma":[0.998666,0.0001236329,0.0007912333,0.00009086165,0.0002789042,0.00004939923],"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":[0.00001157638,0.000007430826,0.0005454489,0.0006413705,0.00001245178,1.797821e-7,0.002203651,0.945204,0.000003488815,0.03681244,0.00001567008,0.01454228],"study_design_scores_gemma":[0.001329599,0.0003124615,0.0001925135,0.002246317,0.00003100215,0.00001857069,0.02518431,0.9102798,0.00009708108,0.04307241,0.01694715,0.0002887683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004960278,0.0004981274,0.9905933,0.00002196705,0.00101333,0.0005546404,0.000001180682,0.00003603392,0.002321193],"genre_scores_gemma":[0.5502371,0.0001216373,0.4495691,0.000007116407,0.00003141705,0.0000212513,0.000001588445,0.000005366357,0.00000540589],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5452768,"threshold_uncertainty_score":0.3476642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932313171098583,"score_gpt":0.3159201788342862,"score_spread":0.2865970471233004,"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."}}