{"id":"W2963435180","doi":"10.1287/ijoc.2021.1085","title":"A Progressive Approximation Approach for the Exact Solution of Sparse Large-Scale Binary Interdiction Games","year":2021,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; Université du Québec à Montréal","funders":"","keywords":"Interdiction; Binary number; Scale (ratio); Mathematics; Computer science; Physics; Arithmetic; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007909348,0.0001360775,0.0002443814,0.0001534157,0.0002252569,0.00006564619,0.0001233534,0.00006800036,0.00001212482],"category_scores_gemma":[0.00007233137,0.00009360228,0.0002341089,0.0002924802,0.00002048553,0.000253508,0.00004098547,0.0002796058,0.00000276668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001161741,"about_ca_system_score_gemma":0.00003128392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002720392,"about_ca_topic_score_gemma":0.000001979479,"domain_scores_codex":[0.9987658,0.00003554685,0.0005949555,0.0001082077,0.0002586065,0.0002368593],"domain_scores_gemma":[0.9991574,0.0001175578,0.0002549626,0.0001877557,0.0002336884,0.00004869332],"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":[0.00003711126,0.00007031764,0.0003248254,0.0002922649,0.0003454837,0.000007565426,0.003459933,0.9522533,0.001030268,0.0001560133,0.0009302229,0.04109268],"study_design_scores_gemma":[0.0003967646,0.00007331162,0.0007597399,0.0001923683,0.00005548084,0.0002506349,0.002564416,0.9937182,0.001160798,0.0000453646,0.000679929,0.0001029635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2275471,0.0009069277,0.7701095,0.00003732177,0.000374422,0.0002225001,0.000006509515,0.00005941982,0.0007362886],"genre_scores_gemma":[0.985628,0.00002462946,0.01392724,0.00002001221,0.0003195227,0.00001023957,0.00002505163,0.00001854615,0.00002677261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7580809,"threshold_uncertainty_score":0.381699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406419898970773,"score_gpt":0.2373382557113664,"score_spread":0.2232740567216587,"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."}}