{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":94,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":94,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"cdb363bde66a","filters":{"topic":"Military Defense Systems Analysis"}},"results":[{"id":"W2303402080","doi":"10.1109/tsmca.2010.2089511","title":"An Efficient Rule-Based Constructive Heuristic to Solve Dynamic Weapon-Target Assignment Problem","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Alberta","keywords":"Heuristic; Computer science; Mathematical optimization; Computation; Monte Carlo method; Weapon target assignment problem; Constructive; Process (computing); Domain (mathematical analysis); Function (biology); Optimization problem; Algorithm; Artificial intelligence; Mathematics; Generalized assignment problem","retraction":null,"screen_n_in":null,"score":{"opus":0.006151736174587952,"gpt":0.2078694357718172,"spread":0.2017176995972293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005003423,0.0005431235,0.0007738703,0.0004281275,0.0004054323,0.0003246436,0.0001853121,0.0002525478,0.00004568038],"category_scores_gemma":[0.000002233326,0.0005199044,0.0001339002,0.0002245384,0.000155784,0.00008189314,0.000002856506,0.0004673342,0.00005816575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309368,"about_ca_system_score_gemma":0.00003963181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006828428,"about_ca_topic_score_gemma":0.00088856,"domain_scores_codex":[0.9972319,0.0001286544,0.0008793356,0.0007216422,0.0004880702,0.0005503814],"domain_scores_gemma":[0.9983997,0.00009280421,0.00011956,0.0007028541,0.0001286021,0.00055645],"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":[0.00003481435,0.0002174598,0.0001171929,0.001022066,0.0003824479,0.00002391763,0.002522834,0.9844259,0.008505275,0.002046088,0.0002582369,0.0004437404],"study_design_scores_gemma":[0.001281109,0.0005292131,0.0003681121,0.0006767232,0.0003434863,0.0001281186,0.003087533,0.9834276,0.0004890439,0.00003516887,0.008456522,0.001177405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5786147,0.000653338,0.4143561,0.00002225538,0.002671835,0.001683271,0.0004206947,0.0003560267,0.001221701],"genre_scores_gemma":[0.9980878,0.00002351315,0.000618774,0.00001643527,0.0001436907,0.0004524265,0.00001719898,0.00009670909,0.0005435094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.419473,"threshold_uncertainty_score":0.9997253,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991646626","doi":"10.1049/ip-rsn:20010385","title":"Simulator for advanced fighter radar EPM development","year":2001,"lang":"en","type":"article","venue":"IEE Proceedings - Radar Sonar and Navigation","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada; Department of National Defence","funders":"","keywords":"Radar; Computer science; Electronic countermeasure; Radar jamming and deception; Clutter; Pulse-Doppler radar; Electronic warfare; Real-time computing; Simulation; Radar imaging; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.008033912800456608,"gpt":0.2125965319378759,"spread":0.2045626191374194,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001795724,0.0001963259,0.0002336115,0.00009158724,0.0001508134,0.00003795786,0.00007198323,0.000094235,0.00002454746],"category_scores_gemma":[0.00001692093,0.0001940782,0.00006204447,0.0002108714,0.00001635681,0.0003416647,0.00001300719,0.00008622375,0.00001484763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000969641,"about_ca_system_score_gemma":0.00001577442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005862063,"about_ca_topic_score_gemma":0.000004055354,"domain_scores_codex":[0.9989548,0.000002881505,0.0003281398,0.000264489,0.0001939154,0.0002557571],"domain_scores_gemma":[0.999618,0.00002647775,0.00005142948,0.00006438616,0.0001192262,0.0001204581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006456851,0.0002388481,0.01589467,0.006032382,0.001487288,0.00003936417,0.02678872,0.006801344,0.3086669,0.004247695,0.02532431,0.6038328],"study_design_scores_gemma":[0.003185915,0.0001723544,0.004070096,0.0005847638,0.000184664,0.0001037996,0.001336342,0.09581624,0.05775059,0.001527476,0.8338806,0.00138715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903798,0.001344566,0.006843449,0.00008065587,0.0001354472,0.0004505459,0.00001131919,0.0002439407,0.0005102382],"genre_scores_gemma":[0.9818493,0.0000770937,0.01737476,0.00003287057,0.000156575,0.00007165134,0.00005415785,0.00004298586,0.0003406192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8085563,"threshold_uncertainty_score":0.791428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1484312206","doi":"","title":"The Generalized Weapon Target Assignment Problem","year":2005,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Weapon target assignment problem; Computer science; Mathematical optimization; Resource allocation; Integer programming; Assignment problem; Branch and bound; Set (abstract data type); Operations research; Greedy algorithm; Linear programming; Process (computing); Weapon system; Generalized assignment problem; Engineering; Algorithm; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.007205546554934107,"gpt":0.2039806821859266,"spread":0.1967751356309925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005819095,0.0002538494,0.0002643502,0.0001423824,0.0001960576,0.0001438444,0.0003122943,0.0001459101,0.0001956881],"category_scores_gemma":[0.00004835838,0.0001852674,0.0002061814,0.0002850913,0.00005528301,0.0007341875,0.00007895351,0.000276424,0.001094244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987266,"about_ca_system_score_gemma":0.00001568382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001344491,"about_ca_topic_score_gemma":0.00004476997,"domain_scores_codex":[0.9978696,0.00006172062,0.0009987009,0.0001377397,0.0004729114,0.0004593243],"domain_scores_gemma":[0.9990175,0.00006245916,0.0001085672,0.0005684016,0.00009443683,0.0001486242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000141587,0.0002294238,0.000856596,0.0003851383,0.000755366,0.000009340189,0.002269863,0.3279886,0.003355518,0.03785941,0.5573658,0.06878341],"study_design_scores_gemma":[0.0005988432,0.0000246259,0.0002269821,0.00002889968,0.00002885287,0.00003262622,0.00008337427,0.09181499,0.0005140463,0.0002352604,0.906132,0.0002795222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08930994,0.004074923,0.5215527,0.01055691,0.002415193,0.005802996,0.0004968466,0.009515302,0.3562752],"genre_scores_gemma":[0.9874253,0.0001978184,0.01104811,0.0005467862,0.000157454,0.0001740947,0.0001631926,0.0000321038,0.0002551231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8981154,"threshold_uncertainty_score":0.9996835,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120057998","doi":"10.1287/opre.1040.0195","title":"A Stochastic Salvo Model for Naval Surface Combat","year":2005,"lang":"en","type":"article","venue":"Operations Research","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Offensive; Navy; Battle; Operations research; Variance (accounting); Computer science; Position (finance); Stochastic modelling; Econometrics; Aeronautics; Economics; Mathematics; Engineering; Statistics; History; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.07946203718585708,"gpt":0.3598228002710684,"spread":0.2803607630852114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007353937,0.00009485713,0.0001478655,0.0001618215,0.0002946897,0.00008294268,0.000173343,0.00006047103,0.0001296776],"category_scores_gemma":[0.0001075246,0.00009404531,0.00006531432,0.0003499515,0.00003966322,0.0001762145,0.00003213167,0.000207137,0.0003346248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681834,"about_ca_system_score_gemma":0.0000735638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001520473,"about_ca_topic_score_gemma":0.002587854,"domain_scores_codex":[0.9988253,0.00005849502,0.000218602,0.0001880298,0.0003481428,0.0003614427],"domain_scores_gemma":[0.999123,0.0001185015,0.000002617196,0.0003551634,0.0002988146,0.0001019522],"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":[0.000003161021,0.00001763194,0.00000265748,0.00002121807,0.00003550127,2.812507e-7,0.000593378,0.9826679,0.00589065,0.001382393,0.008994592,0.0003906419],"study_design_scores_gemma":[0.0001897145,0.00001691455,0.000007351643,0.00001004038,0.000007523767,0.000001930793,0.0001390721,0.997911,0.000209035,0.00003476925,0.00137476,0.00009786106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3455555,0.0007883229,0.6504147,0.0005353466,0.00005359045,0.0007362417,0.00009930568,0.0001472175,0.001669741],"genre_scores_gemma":[0.9755352,0.00001641753,0.01435423,0.000009530802,0.0001207485,0.0001453691,0.00003903156,0.00003528802,0.009744147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6360605,"threshold_uncertainty_score":0.4301037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3118773768","doi":"10.31374/sjms.53","title":"Fighting the Locusts: Implementing Military Countermeasures Against Drones and Drone Swarms","year":2021,"lang":"en","type":"article","venue":"Scandinavian Journal of Military Studies","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Drone; Software deployment; Computer security; Context (archaeology); Aeronautics; Computer science; Engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01492127042522688,"gpt":0.2424630554037346,"spread":0.2275417849785077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148734,0.0003595072,0.0008276846,0.000187221,0.0004876325,0.00001407209,0.0002496339,0.00006079056,0.00003729949],"category_scores_gemma":[0.0003311813,0.0002446075,0.0003160202,0.0004104712,0.0002337555,0.0003289984,0.0001545648,0.0004083437,0.000004990844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854536,"about_ca_system_score_gemma":0.00004009344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000788168,"about_ca_topic_score_gemma":0.001106397,"domain_scores_codex":[0.9973437,0.0002281264,0.001114855,0.000265819,0.000521119,0.0005263831],"domain_scores_gemma":[0.9985406,0.0003388676,0.0001270394,0.0003591209,0.0004965423,0.0001378085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002729268,0.0002760287,0.5396155,0.006153795,0.03285144,0.005029507,0.1130907,0.07182854,0.01883187,0.000117019,0.1549935,0.05693919],"study_design_scores_gemma":[0.006646637,0.0009500813,0.2451665,0.008363703,0.003387729,0.004700488,0.6582562,0.02102994,0.003267427,0.003621981,0.04119514,0.003414164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6062011,0.3925187,0.00009818655,0.000379081,0.0004522184,0.00007760536,0.00002507984,0.00002844123,0.0002196691],"genre_scores_gemma":[0.9672558,0.03146135,0.000515549,0.0001027722,0.0004770768,0.000006513902,0.00000634412,0.00003801436,0.0001365926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5451655,"threshold_uncertainty_score":0.9974805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1495972231","doi":"10.1023/a:1022525529778","title":"A Tabu Search Heuristic for Resource Management in Naval Warfare","year":2003,"lang":"en","type":"article","venue":"Journal of Heuristics","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Lockheed Martin (Canada)","funders":"Advanced Research Projects Agency","keywords":"Tabu search; Survivability; Computer science; Operations research; Scheduling (production processes); Heuristic; Mathematical optimization; Probabilistic logic; Computation; Artificial intelligence; Engineering; Algorithm; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01359630341022536,"gpt":0.2387723471679834,"spread":0.225176043757758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009166587,0.0001487049,0.0003711809,0.000369767,0.00003906924,0.00002326933,0.0001762925,0.00006168561,0.00003586531],"category_scores_gemma":[0.0001923567,0.0001407356,0.0001601852,0.0003039734,0.00001931322,0.00004849807,0.00001497738,0.0002691916,0.00001124889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697848,"about_ca_system_score_gemma":0.00002399877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005698332,"about_ca_topic_score_gemma":0.00001296195,"domain_scores_codex":[0.9984207,0.0000845591,0.0007279103,0.0001125852,0.0003499259,0.0003042783],"domain_scores_gemma":[0.9992948,0.000156864,0.0000855304,0.0002187965,0.0001296626,0.0001143812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001620252,0.000269904,0.004274916,0.002603024,0.001202353,0.001991926,0.002185209,0.8971522,0.0003637949,0.008385688,0.07595003,0.005458869],"study_design_scores_gemma":[0.006565845,0.0006913514,0.006320441,0.0009566469,0.0009488515,0.001149055,0.008894376,0.1997723,0.0006965099,0.00343606,0.7692126,0.001355914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6410129,0.01288345,0.3131069,0.0002050873,0.00184417,0.001159691,0.000104624,0.0001267134,0.02955647],"genre_scores_gemma":[0.9849179,0.0001931221,0.01418601,0.00002102639,0.0001381569,0.000005476236,0.000002861402,0.00004453395,0.0004909317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6973799,"threshold_uncertainty_score":0.573903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400371458","doi":"10.1038/s41467-024-49896-5","title":"tracerDB: a crowdsourced fluorescent tracer database for target engagement analysis","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Genentech; Deutschen Konsortium für Translationale Krebsforschung; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; McGill University; Bayer; Pfizer; Deutsche Forschungsgemeinschaft; Deutsches Krebsforschungszentrum; Bristol-Myers Squibb","keywords":"Crowdsourcing; Data science; TRACER; Fluorescence; Computer science; Computational biology; World Wide Web; Biology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02100939750111206,"gpt":0.29520593904939,"spread":0.2741965415482779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006854756,0.0002074374,0.0003153593,0.0005803637,0.000230081,0.00009853471,0.000790415,0.0001984626,0.0001779109],"category_scores_gemma":[0.00009683041,0.000200031,0.0004700794,0.001638533,0.00004211478,0.0001560205,0.0001210859,0.0009152947,0.00005119504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564205,"about_ca_system_score_gemma":0.00002778946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003915916,"about_ca_topic_score_gemma":0.000947763,"domain_scores_codex":[0.9987118,0.0001350067,0.0004029596,0.0002854699,0.0002136728,0.0002510606],"domain_scores_gemma":[0.9968961,0.0004342964,0.00002572588,0.002445076,0.00009949329,0.00009933941],"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":[0.000039004,0.0005653267,0.001692193,0.001952215,0.03300137,0.00002600232,0.0106934,0.2117171,0.02684681,0.06481334,0.6371982,0.01145502],"study_design_scores_gemma":[0.00009593976,0.00000595264,0.0003698163,0.00003072304,0.001196649,0.000001359015,0.0001835735,0.5258491,0.000315493,0.00004683673,0.4717208,0.0001837173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02450658,0.5533963,0.3816079,0.01000709,0.001987531,0.003572588,0.00576705,0.004814375,0.01434049],"genre_scores_gemma":[0.9597729,0.0008192472,0.03700718,0.00006237674,0.0000994108,0.0003280454,0.001489369,0.00005500801,0.000366465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9352663,"threshold_uncertainty_score":0.8157029,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125429580","doi":"10.1287/opre.2014.1309","title":"Modeling Short-Range Ballistic Missile Defense and Israel's Iron Dome System","year":2014,"lang":"en","type":"article","venue":"Operations Research","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Ballistic missile; Interception; Missile; Range (aeronautics); Dome (geology); Imperfect; Missile defense; Computer science; Civil defense; Computer security; Aeronautics; Operations research; Law; Aerospace engineering; Engineering; Geology; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.04171082980221792,"gpt":0.2979147721873167,"spread":0.2562039423850987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353067,0.0001425164,0.0002373847,0.0003305299,0.0004021797,0.0001851731,0.0001611141,0.00009570338,0.00005683786],"category_scores_gemma":[0.0001524202,0.0001349457,0.00004954235,0.0004041707,0.00004854082,0.0001631136,0.00005516969,0.0002885089,0.0002144012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552336,"about_ca_system_score_gemma":0.00002390112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648225,"about_ca_topic_score_gemma":0.001822237,"domain_scores_codex":[0.9982533,0.0002687256,0.0003195944,0.0003011806,0.0004674058,0.000389739],"domain_scores_gemma":[0.9989594,0.0001085707,0.00000266213,0.0005047834,0.0002321149,0.0001924236],"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":[0.000003180917,0.000009848681,0.0001662256,0.0003070815,0.00003426257,0.0000075328,0.0003861176,0.9894468,0.002898155,0.005729951,0.0003683319,0.0006425115],"study_design_scores_gemma":[0.000110607,0.00002242857,0.0000649607,0.00006406489,0.00001734945,0.00001659362,0.0007971476,0.9979768,0.00003379013,0.000009554444,0.0007474416,0.0001392482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157363,0.001900887,0.06695955,0.0000744625,0.0001034584,0.0004099533,0.00002695179,0.000225292,0.01456319],"genre_scores_gemma":[0.9975818,0.00007345519,0.001253987,0.000004733695,0.0001648805,0.00009929486,0.00002426163,0.00004064425,0.0007569275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08184556,"threshold_uncertainty_score":0.5502927,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990317354","doi":"10.1002/nav.10102","title":"Effects of lethality in naval combat models","year":2003,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lethality; Offensive; Context (archaeology); Operations research; Computer science; Balance (ability); Engineering; Psychology; History; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.07271698726149724,"gpt":0.3260009417933172,"spread":0.25328395453182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003549782,0.0002088426,0.0005340491,0.0004767526,0.00006290363,0.00002439312,0.0003522755,0.0002172926,0.00004677538],"category_scores_gemma":[0.00319683,0.000206743,0.000127761,0.00100339,0.0002583619,0.0001001016,0.00008258447,0.0008369238,0.00007154827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003248079,"about_ca_system_score_gemma":0.0001067322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738385,"about_ca_topic_score_gemma":0.0004698335,"domain_scores_codex":[0.996354,0.0008319619,0.0005683067,0.0003437027,0.001138887,0.0007630698],"domain_scores_gemma":[0.9972777,0.001565042,0.00003400424,0.0006023918,0.0003245743,0.0001963375],"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":[0.00009369884,0.0005061803,0.004304287,0.004137533,0.0003794803,0.0006185962,0.001489322,0.7066799,0.03809538,0.2365372,0.00541033,0.001748036],"study_design_scores_gemma":[0.003340333,0.0005407406,0.008068021,0.0006194714,0.0001129873,0.00002957207,0.0007449739,0.8256535,0.05340937,0.1011666,0.005096116,0.001218328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.851338,0.007693418,0.07137793,0.00003623921,0.0005143802,0.00120696,0.00007533478,0.0002032959,0.0675545],"genre_scores_gemma":[0.9983292,0.0002664674,0.0009447371,0.000004933235,0.00004320217,0.00003919788,0.000008212926,0.0000414955,0.0003225424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1469913,"threshold_uncertainty_score":0.8430735,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145172950","doi":"10.1109/aero.2008.4526429","title":"Modeling and Interpretation of Multifunction Radars with Stochastic Grammar","year":2008,"lang":"en","type":"article","venue":"Proceedings - IEEE Aerospace Conference","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Radar; SIGNAL (programming language); Estimator; Markov chain; Statistical signal processing; Artificial intelligence; Hidden Markov model; Representation (politics); Markov process; Algorithm; Signal processing; Machine learning; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.01393836891402717,"gpt":0.1865086889118206,"spread":0.1725703199977934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015434,0.0001843616,0.0002883975,0.0001222028,0.00006612314,0.00002148033,0.00007736743,0.00006555675,0.000006521571],"category_scores_gemma":[0.00003706356,0.0001698516,0.00003470076,0.0002255491,0.00007767469,0.0003313871,0.00001237834,0.0001354539,0.000003758935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003908764,"about_ca_system_score_gemma":0.00001993921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001900189,"about_ca_topic_score_gemma":0.00007685349,"domain_scores_codex":[0.9991124,0.000004325794,0.0002447304,0.0002410249,0.0002138524,0.0001837065],"domain_scores_gemma":[0.9994465,0.00001876321,0.00005871126,0.0000879369,0.0003113902,0.00007668336],"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":[0.0001472009,0.00002891704,0.003513991,0.0007346383,0.0002341901,0.00000351259,0.0154594,0.9090642,0.06795727,0.000458474,0.0001358072,0.002262433],"study_design_scores_gemma":[0.0002716887,0.00007148962,0.0002229822,0.0001707598,0.00005221544,0.00003713289,0.0008805203,0.9965786,0.001495111,0.0000351526,0.000003147699,0.000181167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6761037,0.0001452534,0.3232593,0.00001064323,0.0000527684,0.0001298944,0.000001986223,0.0001087642,0.0001876993],"genre_scores_gemma":[0.9972724,0.00007822493,0.002510241,0.000003989459,0.00002357494,0.00002247777,0.000002318358,0.00002715399,0.00005967718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3211686,"threshold_uncertainty_score":0.6926349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061851585","doi":"10.1002/nav.20187","title":"Effective attacks in the salvo combat model: Salvo sizes and quantities of targets","year":2006,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Adversary; Offensive; Context (archaeology); Operations research; Firepower; Set (abstract data type); Computer science; Balance (ability); Power (physics); Computer security; Engineering; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.04052352846155263,"gpt":0.3245015184196571,"spread":0.2839779899581045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002541864,0.0001883825,0.0004143447,0.0003549721,0.0001071356,0.0000507773,0.0003216109,0.0001374752,0.00001381646],"category_scores_gemma":[0.0009460381,0.0001437501,0.00008284402,0.0005391868,0.0004553402,0.00007992606,0.0001031761,0.0005882175,0.00001687021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259117,"about_ca_system_score_gemma":0.00004102135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004615179,"about_ca_topic_score_gemma":0.003266765,"domain_scores_codex":[0.997482,0.000448583,0.0004175593,0.0002619241,0.000861611,0.000528335],"domain_scores_gemma":[0.9971966,0.002024264,0.00003350351,0.0004335448,0.0002512752,0.0000607911],"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":[0.0001112453,0.0001890735,0.0138933,0.001148572,0.0002094539,0.0001316841,0.002569125,0.8350443,0.009190567,0.1199618,0.01656455,0.0009863578],"study_design_scores_gemma":[0.0006997802,0.0002561191,0.0231235,0.0001346918,0.00004722743,0.000009816516,0.001437009,0.9393001,0.001575336,0.03214324,0.0009329,0.000340318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938606,0.01199595,0.02207562,0.0001377342,0.0001380222,0.001105454,0.000201483,0.0001245768,0.02561517],"genre_scores_gemma":[0.9987805,0.0002926085,0.000510116,0.00000673834,0.0000845304,0.00005673509,0.00001969581,0.00003232384,0.0002167667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042558,"threshold_uncertainty_score":0.6976801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403977202","doi":"10.1109/tim.2024.3488155","title":"A Cooperative Heterogeneous System Design of Unmanned Aerial and Surface Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Remotely operated underwater vehicle; Aerospace engineering; Computer science; Systems engineering; Engineering; Mobile robot; Robot; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02699298996663426,"gpt":0.2198348922725117,"spread":0.1928419023058774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002362882,0.0001284304,0.0001674306,0.000108267,0.00006943649,0.00003858148,0.00002373287,0.000041636,0.00001696679],"category_scores_gemma":[8.727804e-7,0.000121154,0.00003916677,0.0001364077,0.00002898345,0.00009202243,3.671465e-7,0.0000623068,0.00000593529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434945,"about_ca_system_score_gemma":0.00002125071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007164833,"about_ca_topic_score_gemma":0.00005831122,"domain_scores_codex":[0.999153,0.00007785457,0.0002614397,0.0001646946,0.0002466823,0.00009630557],"domain_scores_gemma":[0.9997646,0.0000229941,0.00001619927,0.00008273478,0.0000566739,0.00005678726],"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":[0.00006548351,0.00002680912,0.000005081512,0.0006806913,0.0005850421,0.000005100648,0.001998517,0.8099092,0.1745129,0.0000838706,0.00004989066,0.01207747],"study_design_scores_gemma":[0.0008814404,0.0002732335,0.00002871779,0.0005023748,0.000279152,0.0000447359,0.002057972,0.5689496,0.4265879,0.000007285002,0.0001350763,0.000252493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5074093,0.0008313099,0.4906896,0.00001779852,0.0004958019,0.0003238496,0.00003353249,0.0001419498,0.00005681751],"genre_scores_gemma":[0.9992039,0.0001816996,0.0005263981,0.000005473305,0.00001334844,0.0000315816,0.00000132344,0.00001715256,0.00001914667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4917945,"threshold_uncertainty_score":0.4940516,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2149463069","doi":"10.1109/simsym.1994.283113","title":"The resolution of an open-loop resource allocation problem using a neural network approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Asynchronous communication; Resource allocation; Artificial neural network; Scheduling (production processes); Constraint satisfaction; Context (archaeology); Artificial intelligence; Mathematical optimization; Greedy algorithm; Strengths and weaknesses; Resource management (computing); Distributed computing; Algorithm; Mathematics; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.03209665360038017,"gpt":0.2215743617637245,"spread":0.1894777081633443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005394648,0.0001061027,0.000164064,0.0000397009,0.0001616793,0.000054451,0.0003043317,0.00005412659,0.00002786971],"category_scores_gemma":[0.00001043816,0.00007922408,0.00003936494,0.0004294216,0.000028447,0.0002145931,0.00005617679,0.00009018512,0.000004839566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050214,"about_ca_system_score_gemma":0.000003346959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005741784,"about_ca_topic_score_gemma":0.0002326923,"domain_scores_codex":[0.9989693,0.0001292867,0.0003473666,0.0001655766,0.0001655291,0.0002229011],"domain_scores_gemma":[0.9993688,0.00003171285,0.00005191447,0.0004581783,0.00004209911,0.00004723295],"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":[0.00000398655,0.00001659587,0.0000385817,0.00002676161,0.00004067371,2.850419e-7,0.0002284775,0.9936231,0.0005665699,0.0007339426,0.002757139,0.001963887],"study_design_scores_gemma":[0.0001086677,0.00002199574,0.00009573545,0.00001272614,0.00002775915,0.000008854866,0.0002617704,0.9967551,0.00003124847,0.00003729781,0.002545858,0.00009300017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8227872,0.004702014,0.05493882,0.0001579569,0.0001626258,0.001505259,0.000004415714,0.0004588361,0.1152829],"genre_scores_gemma":[0.9843529,0.00001671653,0.01435571,0.00001382638,0.0001113077,0.00001985285,0.00001070956,0.00002745277,0.001091505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1615657,"threshold_uncertainty_score":0.3230664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2193486152","doi":"10.1142/s0219622015500388","title":"Solving Dynamic Multi-Criteria Resource-Target Allocation Problem Under Uncertainty: A Comparison of Decomposition and Myopic Approaches","year":2015,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada; University of Victoria; Université du Québec à Rimouski","funders":"","keywords":"Computer science; Decomposition; Multiple-criteria decision analysis; Context (archaeology); Operations research; Compromise; Resource allocation; Metric (unit); Mathematical optimization; Survivability; Resource (disambiguation); Decision tree; Flexibility (engineering); Data mining; Operations management; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02510176443355526,"gpt":0.3104506412298646,"spread":0.2853488767963093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007245719,0.0001454215,0.0003364724,0.001612776,0.00004194016,0.00007008417,0.0003598185,0.000175053,0.00001144081],"category_scores_gemma":[0.0002085209,0.000136874,0.00007876568,0.0003219181,0.00006248379,0.000937095,0.0000890607,0.000252449,0.000006313764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002973804,"about_ca_system_score_gemma":0.00004170229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005646132,"about_ca_topic_score_gemma":0.00001797737,"domain_scores_codex":[0.9978748,0.00003766785,0.001342472,0.00008856587,0.0005282956,0.0001281912],"domain_scores_gemma":[0.9983168,0.00009923614,0.000675038,0.000150393,0.0007078418,0.00005071898],"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":[0.0001081032,0.00005016535,0.002876073,0.00005427964,0.0003318913,0.000003426406,0.002616554,0.8553685,0.001235292,0.001526541,0.0004550433,0.1353741],"study_design_scores_gemma":[0.0008915181,0.00007912598,0.001147057,0.0004592984,0.00003661693,0.000193103,0.005666636,0.9839994,0.0005192152,0.005918815,0.0009510372,0.0001381236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3669987,0.0006699486,0.6315613,0.0002133281,0.0002393225,0.0000969709,0.00000640279,0.00005837462,0.0001556287],"genre_scores_gemma":[0.868174,0.00002210424,0.1317196,0.00002321063,0.00002415807,0.000004516403,0.00002019911,0.000009884906,0.000002312742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5011753,"threshold_uncertainty_score":0.5581562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111241440","doi":"10.1109/icnsurv.2012.6218397","title":"Distributing non-cooperative surveillance data: A preliminary model and evaluation of potential use cases","year":2012,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Raytheon Technologies (Canada); University of Waterloo","funders":"","keywords":"Computer science; Ambiguity; Key (lock); Reliability (semiconductor); Computer security; Clutter; Operator (biology); Risk analysis (engineering); Systems engineering; Radar; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.05766817829071123,"gpt":0.2817916829131257,"spread":0.2241235046224145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008493155,0.00009696688,0.0001795931,0.0000387283,0.00003479823,0.00001307632,0.00006706212,0.00003722375,0.00002452781],"category_scores_gemma":[0.0002088556,0.00008618963,0.00002163686,0.00009946705,0.00001873667,0.0006003263,0.00007652974,0.00004416996,0.000002565377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003254507,"about_ca_system_score_gemma":0.00001492944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000386891,"about_ca_topic_score_gemma":0.0002226719,"domain_scores_codex":[0.9991915,0.00006788214,0.0002250014,0.000137041,0.0002238051,0.0001547637],"domain_scores_gemma":[0.9993322,0.00009464521,0.00002851339,0.0003555397,0.0001386148,0.00005041005],"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":[0.00001256479,0.00002668734,0.01572757,0.00008555438,0.0001525885,0.000001576665,0.0005352083,0.9770701,0.003985467,0.00003572889,0.001096277,0.001270705],"study_design_scores_gemma":[0.0001500131,0.00001128828,0.0262283,0.00001184377,0.00008996067,0.00001559621,0.0001867095,0.9728983,0.0003042723,0.000001786424,0.000008747843,0.0000931735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687233,0.0010307,0.02952458,0.000004803359,0.00005895983,0.00016695,0.0002795328,0.00003397158,0.0001772356],"genre_scores_gemma":[0.9987316,0.00002578026,0.0009243871,0.000001806635,0.00004707291,0.000007391238,0.0002207948,0.000009481296,0.00003164582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03000837,"threshold_uncertainty_score":0.3514711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2325674833","doi":"10.2514/6.2008-1965","title":"Comparison of the Tumbling Behavior and Pressure Evolution of Several API Projectiles in a Hydrodynamic Ram Environment","year":2008,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"","keywords":"Projectile; Computer science; Astrobiology; Mechanics; Aerospace engineering; Materials science; Engineering; Physics; Metallurgy","retraction":null,"screen_n_in":null,"score":{"opus":0.01070843887285769,"gpt":0.2155943899805285,"spread":0.2048859511076709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007695406,0.00007711057,0.0002199598,0.00008094993,0.00002052251,0.000001163348,0.00006015334,0.00004449396,0.00001727822],"category_scores_gemma":[0.000004817554,0.00005926554,0.00004886292,0.0001146756,0.00004345287,0.00004511084,0.00002761066,0.00007601506,5.630276e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004953356,"about_ca_system_score_gemma":0.000006939254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430953,"about_ca_topic_score_gemma":0.0004474892,"domain_scores_codex":[0.9993567,0.00002042148,0.0002936962,0.0000996587,0.0001424154,0.00008703517],"domain_scores_gemma":[0.9997472,0.00001386203,0.00004085707,0.0001774075,0.00000684968,0.00001385922],"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":[0.000002755132,0.00006302373,0.33169,0.0001001712,0.00003667329,3.777726e-7,0.001290731,0.6509052,0.01581977,0.00002178151,0.00002077972,0.0000487654],"study_design_scores_gemma":[0.0001439336,0.00001138944,0.3319762,0.00002179957,0.00004527735,0.000005818199,0.0003018207,0.6665089,0.0009072642,0.000001920029,0.00002271074,0.00005297995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968711,0.001037188,0.001633757,0.000002772592,0.00002633099,0.0002528092,0.000006536593,0.00001810987,0.0001514495],"genre_scores_gemma":[0.999498,0.00001882073,0.0003338908,3.342811e-7,0.000005725232,0.00001659502,0.000001229491,0.000008164378,0.0001172762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560373,"threshold_uncertainty_score":0.2416779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3089479308","doi":"10.1007/s40070-020-00117-6","title":"Construction and application of hyper-inverse conflict models based on the sequential stability","year":2020,"lang":"en","type":"article","venue":"EURO Journal on Decision Processes","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Graduate Research and Innovation Projects of Jiangsu Province; National Natural Science Foundation of China","keywords":"Stability (learning theory); Inverse; Computer science; Mathematics; Machine learning; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.03861149002174379,"gpt":0.2346503570379948,"spread":0.196038867016251,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003915553,0.0001294652,0.0002126033,0.0000881904,0.00009372499,0.00003967045,0.0001396057,0.00004354842,0.0000906887],"category_scores_gemma":[0.0004633024,0.0000881728,0.00006577874,0.0003639513,0.00005829787,0.0001499457,0.00001380571,0.0002263402,0.00001321771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002761572,"about_ca_system_score_gemma":0.00003957061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003310565,"about_ca_topic_score_gemma":0.000003713031,"domain_scores_codex":[0.9988054,0.00007835773,0.0004259142,0.0001779148,0.0004151498,0.00009726018],"domain_scores_gemma":[0.9989114,0.0004214114,0.0001241763,0.0001938681,0.0002390333,0.0001101265],"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":[0.000342856,0.00004405833,0.0005780429,0.0002987517,0.00006386743,0.000007346526,0.0006651111,0.964792,0.006726888,0.0004158072,0.001248676,0.02481666],"study_design_scores_gemma":[0.0004667122,0.000158753,0.0001424955,0.00008446338,0.00004551213,0.00003234842,0.000320335,0.9834865,0.009884084,0.0008578266,0.004391978,0.0001290354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6908606,0.0002646341,0.3075009,0.0003873251,0.00008728613,0.0001638536,0.000017673,0.00004769867,0.0006700268],"genre_scores_gemma":[0.9983349,0.0001567401,0.001195561,0.0002181302,0.0000698562,0.000004709957,0.000001601925,0.00001658435,0.000001861883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3074743,"threshold_uncertainty_score":0.3595582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1591701304","doi":"","title":"An optimal sequential optimization approach in application to dynamic weapon allocation in naval warfare","year":2008,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Linear subspace; Curse of dimensionality; Computer science; Decomposition; Mathematical optimization; Optimization problem; Weapon system; Sequence (biology); Algorithm; Mathematics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01436966886957641,"gpt":0.2473676880060903,"spread":0.2329980191365139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000263906,0.0001847472,0.0001756743,0.00100798,0.00005728631,0.00005760485,0.0002873063,0.0001335016,0.0001677202],"category_scores_gemma":[0.0000250708,0.000206731,0.00004056994,0.0004880147,0.00001747235,0.001461783,0.00003001533,0.0001849269,0.0001196315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000512303,"about_ca_system_score_gemma":0.00004933541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002434851,"about_ca_topic_score_gemma":0.0001541972,"domain_scores_codex":[0.9983884,0.00005193242,0.0006770275,0.0002127694,0.0004877236,0.000182218],"domain_scores_gemma":[0.9993284,0.00001193731,0.00009300372,0.0002532425,0.0002336674,0.00007976288],"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":[0.0000651763,0.00005011419,0.0003432686,0.00001918649,0.000008005894,0.000001156657,0.002226572,0.9899356,0.00155685,0.001395778,0.00003465489,0.004363645],"study_design_scores_gemma":[0.0004367201,0.00004452685,0.004638432,0.00004494213,0.000002654944,0.00001102837,0.0006318613,0.9935949,0.0001959574,0.00001619959,0.0001801919,0.0002025322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4365906,0.000006476776,0.5543979,0.0001271978,0.0002124817,0.0004549655,0.00002867585,0.0001337202,0.008047914],"genre_scores_gemma":[0.9894079,0.00006795197,0.00843845,0.00006916099,0.00003626729,0.000169153,0.001770817,0.00001448588,0.00002582106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5528173,"threshold_uncertainty_score":0.8430246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2051991318","doi":"10.1117/12.852704","title":"Semi-autonomous UAV/UGV for dismounted urban operations","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Situation awareness; Payload (computing); Search and rescue; Computer science; Unmanned ground vehicle; Urban search and rescue; Aeronautics; Battlespace; Terrain; Global Positioning System; Computer security; Mobile robot; Robot; Engineering; Telecommunications; Aerospace engineering; Artificial intelligence; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.007055213763674783,"gpt":0.2119343533557984,"spread":0.2048791395921236,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006397199,0.0004328316,0.0005859223,0.0001719275,0.000137663,0.0001467687,0.0009728738,0.0003021466,0.0000291393],"category_scores_gemma":[0.000560727,0.000384792,0.0009768589,0.0004107883,0.0001800967,0.000601913,0.00009980575,0.0004819822,0.000004079874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697005,"about_ca_system_score_gemma":0.00003583312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002926591,"about_ca_topic_score_gemma":0.000004174806,"domain_scores_codex":[0.9975285,1.182993e-8,0.0009650093,0.0004402607,0.0005509875,0.0005152493],"domain_scores_gemma":[0.9977236,0.0001562636,0.0001644497,0.0001182317,0.001655456,0.0001820305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002585882,0.00006941633,0.0002320006,0.0006080341,0.0008028754,5.978401e-8,0.0003502844,0.004507632,0.673792,0.3098783,0.009619548,0.000114026],"study_design_scores_gemma":[0.001508236,0.0002556121,0.000680833,0.000236055,0.000495189,0.00002885385,0.001494219,0.8517348,0.108938,0.0007225403,0.03305,0.0008556294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944698,0.000136642,0.0004414979,0.0009498381,0.000676416,0.0009078803,0.0002129251,0.0002815812,0.001923427],"genre_scores_gemma":[0.9063612,0.00004933553,0.0911173,0.00005742943,0.00101035,0.0005931619,0.00004707812,0.0001559387,0.0006081626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8472272,"threshold_uncertainty_score":0.9998604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049534631","doi":"10.1016/j.eswa.2009.03.010","title":"Designing a fuzzy system for controlling the armament fire in dynamic siege","year":2009,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Siege; Battle; Adversary; Computer science; Component (thermodynamics); Fuzzy logic; Operations research; Resource allocation; Resource (disambiguation); Order (exchange); Computer security; Engineering; Business; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.006947324024968044,"gpt":0.2205752504288825,"spread":0.2136279264039145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004061508,0.0002369134,0.0004171751,0.0001165328,0.0002065897,0.00005907378,0.0002527425,0.00007755715,0.000001172364],"category_scores_gemma":[0.000006348703,0.0001671557,0.00009515691,0.0004460128,0.00001994771,0.00007904645,0.000006614183,0.0001186188,0.00002148365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932074,"about_ca_system_score_gemma":0.00002364663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002262831,"about_ca_topic_score_gemma":0.0001005282,"domain_scores_codex":[0.9985152,0.00004723712,0.0005705055,0.0003062099,0.0002080192,0.0003527606],"domain_scores_gemma":[0.9989763,0.0001707793,0.00009092411,0.0006094332,0.00007277263,0.00007976463],"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":[0.00004954344,0.00008471076,0.0001383739,0.0006577251,0.0003694182,0.000008908911,0.004626747,0.9559976,0.02123072,0.01149032,0.001610716,0.003735156],"study_design_scores_gemma":[0.001047342,0.00006028969,0.00009704904,0.0004594356,0.00006052748,0.00005401529,0.008840413,0.977108,0.0002302048,0.00004849605,0.01159362,0.0004005841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01284083,0.0180049,0.9609433,0.0002513407,0.0001551541,0.005603857,0.00003753186,0.0006340423,0.001529093],"genre_scores_gemma":[0.9893087,0.00003351923,0.002223039,0.00003240713,0.0001584092,0.008080936,0.00002267013,0.00004224095,0.00009815058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9764678,"threshold_uncertainty_score":0.6816412,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2969507328","doi":"","title":"Threat Evaluation In Air Defense Systems Using Analytic Network Process","year":2019,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Analytic network process; Process (computing); Asset (computer security); Order (exchange); Function (biology); Computer science; Domain (mathematical analysis); Component (thermodynamics); Value (mathematics); Risk analysis (engineering); Operations research; Computer security; Process management; Business; Machine learning; Engineering; Mathematics; Analytic hierarchy process","retraction":null,"screen_n_in":null,"score":{"opus":0.04884438091814441,"gpt":0.2913282467564668,"spread":0.2424838658383224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610059,0.0001913813,0.0006960065,0.0002178407,0.00005334783,0.000004471078,0.00007981986,0.00006608177,0.00001107398],"category_scores_gemma":[0.00003077202,0.0001496013,0.0001069589,0.0003841435,0.0000363685,0.0002398443,0.00001301956,0.0002032833,0.000002900003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555793,"about_ca_system_score_gemma":0.00005300856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009440534,"about_ca_topic_score_gemma":0.0001899309,"domain_scores_codex":[0.9983264,0.0001569255,0.0007581225,0.0001520031,0.0003750132,0.0002315077],"domain_scores_gemma":[0.9992681,0.0001219933,0.000105462,0.0001436231,0.0003028578,0.00005793148],"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":[0.00002998564,0.00001130796,0.02069638,0.0005683934,0.0006308508,0.0000326629,0.001421305,0.9763487,0.0000606578,0.0001027779,0.00005183159,0.00004516802],"study_design_scores_gemma":[0.001019033,0.0002084119,0.0130433,0.001077127,0.0005561842,0.0002696745,0.04686899,0.9318774,0.000005056326,0.004765922,0.00001247124,0.0002964567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729067,0.2257243,0.00002068676,0.00001185992,0.0004339967,0.0001810808,0.000001714153,0.000009931905,0.0007097154],"genre_scores_gemma":[0.9965876,0.003063447,0.0001003596,0.000006046535,0.0002059586,0.000003867916,9.086275e-7,0.00001302285,0.00001883856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2236808,"threshold_uncertainty_score":0.6100564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W315752426","doi":"","title":"Using A Priori Databases for Identity Estimation through Evidential Reasoning in Realistic Scenarios","year":2004,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Suite; Database; Benchmarking; A priori and a posteriori; Computer science; Identity (music); Avionics; Sensor fusion; Data mining; Salient; Engineering; Artificial intelligence; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.04741660953134894,"gpt":0.3162374366322791,"spread":0.2688208271009301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005449506,0.0002533859,0.0003722515,0.000336343,0.0001212442,0.0001365036,0.0002089687,0.0001339507,0.00002302482],"category_scores_gemma":[0.0006424254,0.000272257,0.0001690347,0.0005786213,0.00004796811,0.004305016,0.00008233074,0.0002299098,0.00006290314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006587919,"about_ca_system_score_gemma":0.00005108141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009242913,"about_ca_topic_score_gemma":0.0009532584,"domain_scores_codex":[0.9978367,0.00003558837,0.001115911,0.0002054534,0.0004008051,0.0004055579],"domain_scores_gemma":[0.9990751,0.00007254297,0.0001618214,0.0004698242,0.0001333087,0.00008742576],"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":[0.00006526568,0.00008198404,0.0006777007,0.0008120912,0.00008064438,0.00001092199,0.001255156,0.966383,0.0006134406,0.02862259,0.0006552839,0.0007418706],"study_design_scores_gemma":[0.002942145,0.00005620975,0.002082925,0.00134324,0.0002097418,0.0001790589,0.0003864011,0.9850717,0.0003760714,0.003030933,0.003564956,0.0007565921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09825281,0.00009849263,0.8993744,0.00004688039,0.0002867607,0.0007762933,0.0001746641,0.0004519196,0.0005377611],"genre_scores_gemma":[0.9049345,0.00003138746,0.09419492,0.00009925201,0.00006471152,0.00007206543,0.0005732188,0.00002775701,0.000002147515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8066818,"threshold_uncertainty_score":0.9999729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W115772811","doi":"","title":"Army Aviation Fusion of Sensor-Pushed and Agent-Pulled Information","year":2001,"lang":"en","type":"article","venue":"AHS International Forum 57","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Aviation; Battle; Sensor fusion; Aeronautics; Systems engineering; Engineering; Computer science; Artificial intelligence; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.004737141012470132,"gpt":0.1982530663050954,"spread":0.1935159252926252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001147435,0.00009140785,0.0001275606,0.0002202446,0.00002926099,0.00001741558,0.00008241928,0.00005514901,0.0002428283],"category_scores_gemma":[0.00005436228,0.00009145593,0.00005927281,0.0001209399,0.00001370748,0.0004040412,0.00003077659,0.00005648658,0.00007910484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005941103,"about_ca_system_score_gemma":0.000004315867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001602916,"about_ca_topic_score_gemma":0.00007488152,"domain_scores_codex":[0.999208,0.00001303521,0.0003539671,0.00007760309,0.0002414979,0.000105934],"domain_scores_gemma":[0.99962,0.00002853011,0.00007064555,0.0001165563,0.0001301771,0.00003413808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005291453,0.0002650499,0.3652662,0.0008010007,0.003402863,0.00005337525,0.01445528,0.2284075,0.09486231,0.05305453,0.06435749,0.1745452],"study_design_scores_gemma":[0.00218997,0.00008880399,0.08724302,0.0001480493,0.0001002793,0.0001210636,0.002314813,0.7168969,0.003315383,0.00171981,0.1852877,0.0005742181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729714,0.0001344114,0.01122531,0.0003084248,0.0006188593,0.0001319118,0.00003580675,0.00009109096,0.0144828],"genre_scores_gemma":[0.9986903,0.0001832088,0.0004507342,0.00005736651,0.00005082738,0.00000779367,0.000152487,0.000008452277,0.0003988327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884893,"threshold_uncertainty_score":0.3729464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137815074","doi":"","title":"A probabilistic planner for the Combat Power Management problem","year":2008,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Planner; Probabilistic logic; Computer science; Domain (mathematical analysis); Exploit; Plan (archaeology); Set (abstract data type); Process (computing); Component (thermodynamics); Operations research; Mathematical optimization; Artificial intelligence; Computer security; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01090443670551505,"gpt":0.183969877048733,"spread":0.173065440343218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001234544,0.0001104903,0.0001310848,0.00004479367,0.00009406544,0.000009053699,0.0001319302,0.00002705456,0.0001933521],"category_scores_gemma":[0.000004994728,0.00006732264,0.00009212959,0.0001259198,0.00002412951,0.00003587362,0.00001974795,0.00004460804,0.0000929646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003529179,"about_ca_system_score_gemma":0.000002968552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003393785,"about_ca_topic_score_gemma":0.00005991256,"domain_scores_codex":[0.999359,0.000008904918,0.0001889265,0.0001311574,0.0001225857,0.0001894188],"domain_scores_gemma":[0.9995471,0.00007103144,0.00001062323,0.000312595,0.0000250962,0.0000335517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002204694,0.00007562235,0.0004154581,0.0007851759,0.001482198,0.00004036554,0.001981449,0.4449004,0.00007443415,0.04343864,0.5052147,0.001569511],"study_design_scores_gemma":[0.001154178,0.000102102,0.004580816,0.00005809708,0.0003023605,0.00008613869,0.001065536,0.4630081,0.00006034646,0.001890333,0.5270071,0.0006849122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1410632,0.004722496,0.3329978,0.001177419,0.001233633,0.009387681,0.00008123463,0.002444811,0.5068917],"genre_scores_gemma":[0.985355,0.00003276689,0.003219013,0.00005725173,0.00003298217,0.0003524045,0.000006380997,0.00002669413,0.01091755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8442917,"threshold_uncertainty_score":0.2745337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009911757","doi":"10.1117/12.2067066","title":"Coordinating UAV information for executing national security-oriented collaboration","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Defence Research and Development Canada","funders":"National Aeronautics and Space Administration","keywords":"Computer science; Computer security; Information flow; Geospatial analysis; Navy; Information exchange; Geographic information system; Software; Information system; Remote sensing; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.005459230365181997,"gpt":0.2093733644873609,"spread":0.2039141341221788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001398635,0.00033225,0.0004594943,0.0002263462,0.000140054,0.000144256,0.0005258286,0.0002161181,0.000007363327],"category_scores_gemma":[0.001813409,0.0003170767,0.0005418104,0.0006310919,0.00009304762,0.001336029,0.00007574807,0.0002420209,0.00000238286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222543,"about_ca_system_score_gemma":0.00003378282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019343,"about_ca_topic_score_gemma":7.364286e-7,"domain_scores_codex":[0.9973854,3.150469e-8,0.001076484,0.0002765465,0.0008675522,0.000393975],"domain_scores_gemma":[0.9949688,0.0002702213,0.0004095966,0.00005835237,0.004186385,0.0001066569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005069002,0.00004479258,0.000197604,0.001775317,0.0006218009,1.146962e-8,0.0008898824,0.008240096,0.1629685,0.8147253,0.01013254,0.0003535319],"study_design_scores_gemma":[0.00134541,0.0001855554,0.0001467839,0.0003563568,0.0001706833,0.000007120506,0.003300631,0.9303726,0.03925076,0.002987668,0.02141691,0.000459544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889016,0.00006061586,0.002038821,0.0005893291,0.0004197053,0.000808057,0.000151287,0.0002170405,0.006813509],"genre_scores_gemma":[0.9119159,0.00002286827,0.08674564,0.0000815877,0.000633601,0.0003691117,0.00008799853,0.00007019221,0.00007311784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9221325,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2326379691","doi":"10.2514/6.2003-2857","title":"Mission Battle Management System Fighter Engagement Manager Concept","year":2003,"lang":"en","type":"article","venue":"AIAA International Air and Space Symposium and Exposition: The Next 100 Years","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Battle; Computer science; Process management; Engineering management; Systems engineering; Knowledge management; Aeronautics; Engineering; History","retraction":null,"screen_n_in":null,"score":{"opus":0.008548029051349687,"gpt":0.2016230800501209,"spread":0.1930750509987712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002178721,0.0001659506,0.0001504044,0.0001057282,0.0001502942,0.000092923,0.0001208746,0.00005250469,0.0001785385],"category_scores_gemma":[0.000002608153,0.0001323133,0.00007059664,0.00009245623,0.00004514579,0.0001788437,0.0000527487,0.0001079597,0.00006497246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007695228,"about_ca_system_score_gemma":0.000002981064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003638832,"about_ca_topic_score_gemma":0.000003738213,"domain_scores_codex":[0.99904,0.00007820001,0.0002158432,0.000235104,0.0002538974,0.0001769296],"domain_scores_gemma":[0.9996055,0.00004778813,0.00003267424,0.0002023581,0.00003171597,0.00007995365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002049267,0.0003495516,0.003104853,0.002572944,0.006866102,0.0008187605,0.02444778,0.1411919,0.02973253,0.5348624,0.2370571,0.01879119],"study_design_scores_gemma":[0.002596,0.0001914613,0.008374343,0.0007962255,0.0005524468,0.000430499,0.01465514,0.06736256,0.004663615,0.0006564294,0.8984548,0.001266431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6767832,0.00787714,0.02022401,0.006681064,0.005233743,0.001368659,0.0000875164,0.0006746989,0.28107],"genre_scores_gemma":[0.9949546,0.000569322,0.0004262863,0.0001398537,0.0001327054,0.00002830888,0.0000218902,0.00002160257,0.003705388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6613978,"threshold_uncertainty_score":0.5395579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2774434626","doi":"10.1109/smc.2017.8123191","title":"Arms race analysis using capability-based graph model for conflict resolution","year":2017,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Waterloo; Wilfrid Laurier University","keywords":"Computer science; Conflict resolution; Graph; Conflict analysis; Race (biology); Graph theory; Operations research; Artificial intelligence; Machine learning; Mathematics; Theoretical computer science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.04485237929956017,"gpt":0.2791826761369739,"spread":0.2343302968374137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532311,0.0001856442,0.0004485935,0.0003461737,0.0002793245,0.00007658673,0.0002441351,0.0001067902,0.00004097816],"category_scores_gemma":[0.00008391832,0.0001772744,0.0005459195,0.000249658,0.00005944045,0.0001894849,0.00001868277,0.00007723701,0.000006210531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113863,"about_ca_system_score_gemma":0.00002247073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350886,"about_ca_topic_score_gemma":0.002011156,"domain_scores_codex":[0.9988204,0.00002644775,0.0003675931,0.0003135178,0.0001812975,0.0002907905],"domain_scores_gemma":[0.9984077,0.00005448904,0.00008260294,0.001231645,0.0001255371,0.00009803646],"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":[0.000008763902,0.00001007439,0.002284557,0.00007474504,0.000615943,5.063562e-7,0.0002478729,0.9942136,0.002137251,0.0001200216,0.0002305108,0.00005616575],"study_design_scores_gemma":[0.0002791595,0.000006304374,0.0006947444,0.000007895703,0.0009308778,3.122452e-7,0.00008306413,0.9969806,0.0004730752,0.0001429867,0.0001890223,0.0002119334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2823381,0.0001346791,0.7165704,0.00004783286,0.00005762371,0.0002063035,0.00004637746,0.0001489575,0.0004497725],"genre_scores_gemma":[0.9649057,0.000006400351,0.03466656,0.00002008188,0.0000442294,0.0000306203,0.00003036769,0.00002729169,0.0002687485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6825677,"threshold_uncertainty_score":0.7229042,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158536858","doi":"10.1109/icassp.2006.1660852","title":"Optimal Threshold Policies for Hard-Kill of Enemy Radars With High Speed Anti-Radiation Missiles (HARMS)","year":2006,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Partially observable Markov decision process; Adversary; Markov decision process; Computer science; Radar; Missile; Optimal control; Drone; Markov process; Latency (audio); Software deployment; Operations research; Mathematical optimization; Markov model; Computer security; Engineering; Markov chain; Aerospace engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.007199073623702938,"gpt":0.1951826890946106,"spread":0.1879836154709077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001047876,0.0001767978,0.0003518488,0.0001822096,0.00003766681,0.0000192247,0.0001028839,0.00006579404,0.00009069654],"category_scores_gemma":[0.000006200475,0.000142677,0.0001161721,0.0002241176,0.00003126015,0.000126102,0.000008545127,0.00004435397,0.000006966025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004336725,"about_ca_system_score_gemma":0.00001443997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003175328,"about_ca_topic_score_gemma":0.0002422625,"domain_scores_codex":[0.9990419,0.000008955401,0.0003459206,0.0001712471,0.0001967263,0.0002352079],"domain_scores_gemma":[0.999551,0.00004054637,0.00005362768,0.0002417358,0.00006695012,0.00004611605],"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":[0.00001562578,0.00002832765,0.005955128,0.0001934372,0.0002183428,0.000001909769,0.000152626,0.9491518,0.02984186,0.002265984,0.01203654,0.000138426],"study_design_scores_gemma":[0.003154367,0.0002729295,0.1118321,0.0001608283,0.0005679627,0.00002804458,0.0008867935,0.5732217,0.2913091,0.0002434388,0.01704063,0.001282034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864205,0.0006629137,0.009368629,0.00008672178,0.00006921302,0.0002657014,0.00007898521,0.0001838276,0.00286351],"genre_scores_gemma":[0.989358,0.00003034844,0.00925976,0.00001219369,0.0001519681,0.000007746616,0.00006066418,0.00003896145,0.001080368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.37593,"threshold_uncertainty_score":0.5818197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224311079","doi":"10.2478/amns.2021.2.00159","title":"Radioactive source search problem and optimisation model based on meta-heuristic algorithm","year":2022,"lang":"en","type":"article","venue":"Applied Mathematics and Nonlinear Sciences","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Heuristic; Process (computing); Search algorithm; Radioactive source; Algorithm; Search theory; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02739454344388444,"gpt":0.2342371313136684,"spread":0.206842587869784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008945463,0.0001334835,0.0002565323,0.0001524899,0.0003340298,0.00005241217,0.0001163161,0.0000217792,0.00003389404],"category_scores_gemma":[0.000006670141,0.0001082941,0.0000421531,0.000285647,0.0001018133,0.0000410537,0.00005352279,0.0001245797,0.000002339158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002648492,"about_ca_system_score_gemma":0.00002490979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001560185,"about_ca_topic_score_gemma":0.000001450873,"domain_scores_codex":[0.9989689,0.00001585044,0.0001966138,0.000242335,0.0004073598,0.0001689126],"domain_scores_gemma":[0.9995896,0.0001553973,0.00003547579,0.000142051,0.00001577427,0.0000617054],"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":[0.000001544277,0.00003431425,0.000001124053,0.0000829434,0.00008224616,6.623541e-7,0.001089739,0.9923413,0.0002691706,0.002444632,0.00003404829,0.003618319],"study_design_scores_gemma":[0.0001109069,0.00004234998,7.747581e-7,0.000003900846,0.0001333288,0.00000359973,0.0009657361,0.9966875,0.0001648984,0.001676914,0.00008728022,0.0001228241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04932224,0.0004478695,0.9393748,0.000110578,0.0000292388,0.0005832157,0.00007510637,0.000144549,0.009912391],"genre_scores_gemma":[0.2480213,0.00002287923,0.7517025,0.00003606989,0.00001809191,0.00009612558,0.000006503699,0.00001809114,0.00007834019],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1986991,"threshold_uncertainty_score":0.4416103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320031147","doi":"10.1109/milcom55135.2022.10017791","title":"Joint Energy and Correlation Based Anti-Intercepts for Ground Combat Vehicles","year":2022,"lang":"en","type":"article","venue":"MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Reinforcement learning; Computer science; Interception; Mathematical optimization; Tactical communications; Joint (building); Wireless; Power (physics); Energy (signal processing); Adversary; Convex optimization; Regular polygon; Artificial intelligence; Engineering; Computer network; Mathematics; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03426739035269603,"gpt":0.2318310991208483,"spread":0.1975637087681522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001062496,0.000562954,0.0008497402,0.0006701805,0.001552734,0.00006413252,0.001596452,0.0001517088,0.001073806],"category_scores_gemma":[0.00006215039,0.0006841723,0.0003798175,0.000896915,0.0003277327,0.0003534483,0.0007325968,0.0007594555,0.00001894992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004911295,"about_ca_system_score_gemma":0.0001356118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722015,"about_ca_topic_score_gemma":0.003561376,"domain_scores_codex":[0.9960114,0.0009125149,0.001164158,0.0007234736,0.0005752111,0.0006132888],"domain_scores_gemma":[0.9955721,0.0007075081,0.000151791,0.00311726,0.000220122,0.0002312161],"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":[0.0003609383,0.001761564,0.007454516,0.001534237,0.002925558,0.00005291925,0.01529943,0.5623114,0.1265622,0.04702505,0.1662201,0.06849208],"study_design_scores_gemma":[0.001102763,0.0002097103,0.002727684,0.00006392605,0.0002025207,0.00002727861,0.00431484,0.9249141,0.000362176,0.001140679,0.06416005,0.0007742438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8085734,0.05281845,0.1205536,0.003930626,0.002619482,0.002578342,0.00358318,0.001456812,0.003886081],"genre_scores_gemma":[0.9901083,0.00191042,0.003261392,0.0002897337,0.00008058452,0.001270821,0.002145649,0.0001200422,0.0008130337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3626027,"threshold_uncertainty_score":0.9998394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281639233","doi":"10.21810/jicw.v5i1.4185","title":"Deep learning small arms recognition","year":2022,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Disarmament; Identification (biology); Artificial intelligence; Deep learning; Field (mathematics); Context (archaeology); Perspective (graphical); Computer science; Process (computing); Machine learning; Law; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.02862420181818372,"gpt":0.2216288623001881,"spread":0.1930046604820044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000834181,0.00009613772,0.0001797198,0.0001200815,0.0001836798,0.00001682566,0.0001874466,0.00002260671,0.0004243306],"category_scores_gemma":[0.00005023896,0.00006951248,0.0000833757,0.0001900394,0.00002873782,0.00006223988,0.00004146709,0.0004902825,0.00001229523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004261503,"about_ca_system_score_gemma":0.000007984603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004499933,"about_ca_topic_score_gemma":0.00001878326,"domain_scores_codex":[0.9991302,0.0001390703,0.000364801,0.00005408253,0.0001810546,0.0001307998],"domain_scores_gemma":[0.9995092,0.0001273579,0.0001120592,0.00009737351,0.00009754622,0.0000564909],"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":[0.00007918575,0.00001936856,0.0009994167,0.00008458317,0.0003522973,0.00004699096,0.03029755,0.7370462,0.00232986,0.00004548737,0.0003389428,0.2283601],"study_design_scores_gemma":[0.0005476459,0.001480964,0.002108813,0.000290278,0.0008478955,0.004788502,0.1896577,0.6188919,0.01034097,0.001652745,0.1682883,0.001104336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326677,0.02164292,0.04408012,0.0001903011,0.0003918355,0.0001003072,0.000004406813,0.00004538956,0.0008770492],"genre_scores_gemma":[0.9966945,0.002879715,0.0001437101,0.00004213716,0.00009230101,0.000002572901,0.00000251103,0.0000147968,0.0001277367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2272557,"threshold_uncertainty_score":0.4646123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2079082313","doi":"10.1109/cisda.2014.7035638","title":"Analysis of maritime air defence scenarios","year":2014,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"RAID; Computer science; Annihilation; Mathematical optimization; Operations research; Engineering; Mathematics; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.004473377680983347,"gpt":0.1833787279838643,"spread":0.178905350302881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002240396,0.0001019391,0.000380272,0.0003905767,0.00001673079,0.000004237163,0.0001326235,0.00004989514,0.0008234063],"category_scores_gemma":[0.00003167113,0.00009394239,0.0002426243,0.0010994,0.00002056223,0.00005716047,0.00001897759,0.00005125173,0.00009082345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002138191,"about_ca_system_score_gemma":0.000003415363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006052922,"about_ca_topic_score_gemma":0.001127345,"domain_scores_codex":[0.9992099,0.00003089516,0.0002999356,0.0001428709,0.0001646882,0.00015174],"domain_scores_gemma":[0.999375,0.00006443285,0.00002324634,0.0004293769,0.00004804722,0.00005991044],"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":[0.000001711856,0.0000155456,0.03769977,0.00009386788,0.002544034,0.000001401066,0.0001935441,0.9517471,0.002221594,0.002053572,0.00143641,0.00199145],"study_design_scores_gemma":[0.00006176047,0.000009081217,0.02838492,0.000007187218,0.0007724524,7.019032e-7,0.00004665505,0.9683011,0.0004415813,0.00003039706,0.00181385,0.0001303174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7570855,0.0002759445,0.16159,0.00003233826,0.00009335265,0.00008921381,0.00001568372,0.0003647377,0.08045322],"genre_scores_gemma":[0.997817,0.000007547816,0.001415652,0.00002976556,0.00001925668,0.000003748428,0.00001086793,0.00001216636,0.000683996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2407315,"threshold_uncertainty_score":0.9015722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2539107019","doi":"10.1109/wssc.2010.5730264","title":"Collateral damage risk: Quantifying the water surface bullet ricochet problem","year":2010,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Projectile; Collateral damage; Computer science; Surface (topology); Engineering; Marine engineering; Forensic engineering; Materials science; Mathematics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.008120467675807562,"gpt":0.2015589349771056,"spread":0.193438467301298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005946459,0.0001906385,0.0002185143,0.00004776267,0.0001920028,0.00008085536,0.0002450981,0.00009780155,0.001544719],"category_scores_gemma":[0.000008599362,0.00008982949,0.000114233,0.0001620768,0.00003594516,0.00009583274,0.00005753111,0.0004021589,0.0008826779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001827598,"about_ca_system_score_gemma":0.000005425745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002078633,"about_ca_topic_score_gemma":0.004143775,"domain_scores_codex":[0.9988832,0.00006170349,0.0003010388,0.000205169,0.000184131,0.0003647946],"domain_scores_gemma":[0.9992256,0.00005559877,0.00002109017,0.0005834101,0.00004298297,0.00007127964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001696523,0.00006158371,0.05032811,0.0003666375,0.001016677,0.00004781011,0.01103082,0.3309203,0.5221239,0.001304484,0.0813897,0.001393028],"study_design_scores_gemma":[0.0008227549,0.00004143495,0.007057282,0.00003423845,0.0002504532,0.00005821044,0.001789579,0.550746,0.08686444,0.0003525679,0.3507839,0.001199167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864592,0.00005849348,0.0007237957,0.0002662907,0.0003647558,0.0002392222,0.00001317133,0.0003547769,0.01152029],"genre_scores_gemma":[0.9947157,0.00001432759,0.002069194,0.00003117537,0.00009016915,0.00001039939,0.00001206828,0.00004110773,0.003015892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4352595,"threshold_uncertainty_score":0.9998953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2569302311","doi":"10.1177/1541931215591251","title":"Capturing Non-linear Judgment Policies Using Decision Tree Models of Classification Behavior","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Thales (Canada)","funders":"","keywords":"Decision tree; Computer science; Machine learning; Linear model; Linear regression; Artificial intelligence; Decision tree learning; Task (project management); Data mining; Decision support system; Tree (set theory); Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05013970516342199,"gpt":0.2535325368421959,"spread":0.2033928316787739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004291153,0.0001926478,0.0003476552,0.00006195681,0.0001544621,0.00002532661,0.0002131922,0.0001126075,6.245604e-7],"category_scores_gemma":[0.00002722895,0.00015483,0.000226329,0.0001434191,0.00008697151,0.00031721,0.0001384536,0.0001378681,1.571222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739068,"about_ca_system_score_gemma":0.00001510354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007031774,"about_ca_topic_score_gemma":0.00002452082,"domain_scores_codex":[0.9988582,0.000004176316,0.000538411,0.0001894896,0.000206813,0.0002029246],"domain_scores_gemma":[0.9993019,0.00002756679,0.000249617,0.0001153143,0.0002229817,0.00008268894],"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":[0.00004485618,0.0001346146,0.1947962,0.001001723,0.0005033082,1.049177e-7,0.1392532,0.3332774,0.3279705,0.001365713,0.001046186,0.0006062567],"study_design_scores_gemma":[0.0006002595,0.00005766203,0.03645056,0.0004760138,0.0003621254,0.000003266938,0.08477314,0.8425483,0.03364571,0.000556331,0.00004081946,0.0004858855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99894,0.0001876844,0.0002348963,0.000005110545,0.00009896604,0.0001730342,0.00002604793,0.00003465541,0.0002996143],"genre_scores_gemma":[0.9966373,0.00003499174,0.003201054,0.000003388374,0.00006958689,0.000005339074,0.000002219586,0.00003119681,0.00001492107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5092708,"threshold_uncertainty_score":0.6313782,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W332789483","doi":"10.21236/ada460418","title":"Multi-UAV Collaborative Sensor Management for UAV Team Survivability","year":2006,"lang":"en","type":"report","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Survivability; Computer science; Aeronautics; Engineering; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.02036021664826064,"gpt":0.2648512803215854,"spread":0.2444910636733248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001297383,0.0007103681,0.00135778,0.000379895,0.00009618107,0.00005423347,0.0002644398,0.0004865348,0.0002401228],"category_scores_gemma":[0.0001096185,0.0006616468,0.0005736544,0.0006145073,0.00004822599,0.00007919218,0.00007385107,0.0002768939,0.000102867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205109,"about_ca_system_score_gemma":0.0001540089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003459122,"about_ca_topic_score_gemma":0.008960449,"domain_scores_codex":[0.9964375,0.0000958481,0.001225356,0.0008465737,0.000830478,0.0005642023],"domain_scores_gemma":[0.9973577,0.0001677615,0.0001717663,0.001206542,0.0009671121,0.0001290644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001538858,0.0001765659,0.001242058,0.008688289,0.004114466,0.00004667355,0.0001747365,0.05174157,0.00008502386,0.00007777978,0.9313927,0.002244751],"study_design_scores_gemma":[0.0006156172,0.00003306834,0.002066784,0.0001420853,0.000728029,0.000008192666,0.0007847373,0.03531726,0.00008802165,0.00001968803,0.9591236,0.001072992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002059851,0.004646594,0.116185,0.00003595194,0.003728456,0.006539367,0.003462418,0.001767428,0.8615749],"genre_scores_gemma":[0.07600047,0.002236482,0.1579497,0.00003596356,0.002105869,0.002748949,0.004183783,0.0008253985,0.7539134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1076615,"threshold_uncertainty_score":0.9995835,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W48147084","doi":"10.1007/978-1-4020-8883-4_22","title":"Issues with Developing Situation and Threat Assessment Capabilities","year":2009,"lang":"en","type":"book-chapter","venue":"NATO science for peace and security series. C, Environmental security","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Threat assessment; Key (lock); Computer security; Risk analysis (engineering); Situation awareness; Resource (disambiguation); Computer science; Engineering; Political science; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.006421369584617982,"gpt":0.2132150094817077,"spread":0.2067936398970897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006126867,0.0005696937,0.0006402333,0.0002247444,0.0005663437,0.0001587222,0.0002271627,0.0002715572,0.00009088864],"category_scores_gemma":[0.00001020952,0.0005386938,0.0000947964,0.00008472541,0.001040115,0.0009103855,0.0001208086,0.0003674889,0.000006192108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964211,"about_ca_system_score_gemma":0.00007153477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001097608,"about_ca_topic_score_gemma":0.0007055572,"domain_scores_codex":[0.9974764,0.00001730277,0.0004272161,0.0008446057,0.0007543379,0.0004801306],"domain_scores_gemma":[0.9991925,0.00004515504,0.0001156262,0.0003984114,0.00003716825,0.0002110808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007064633,0.000573312,0.0143395,0.01249546,0.002776423,0.000250973,0.2235449,0.001832749,0.01153645,0.6585051,0.005395893,0.06804273],"study_design_scores_gemma":[0.003367203,0.002824632,0.01109518,0.001645564,0.001224971,0.0006371024,0.02052774,0.02614112,0.004785142,0.2197232,0.6996595,0.008368742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186208,0.02870953,0.0004773206,0.0006692261,0.0002985444,0.002814604,0.0008571596,0.0003952917,0.0471575],"genre_scores_gemma":[0.9797183,0.009507734,0.002159742,0.00006261376,0.0001234504,0.00005361726,0.0001900055,0.00007105648,0.008113444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6942636,"threshold_uncertainty_score":0.9997064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133762525","doi":"10.1111/ssqu.12178","title":"Refighting Pickett's Charge: Mathematical Modeling of the Civil War Battlefield*","year":2015,"lang":"en","type":"article","venue":"Social Science Quarterly","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"US-UK Fulbright Commission","keywords":"Infantry; Artillery; Battle; Victory; Battlefield; Charge (physics); Spanish Civil War; Position (finance); Operations research; Political science; Computer science; Engineering; Law; History; Physics; Economics; Ancient history; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02081867881966288,"gpt":0.234882207381395,"spread":0.2140635285617321,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001008943,0.0001054345,0.0002103279,0.00007016718,0.00019651,0.00002495257,0.0004360652,0.00006243023,0.00009326038],"category_scores_gemma":[0.00007913206,0.00007670168,0.000113259,0.0006780133,0.0001849878,0.0002288218,0.00001797572,0.0001366471,0.00009653767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009645035,"about_ca_system_score_gemma":0.00007185739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007361817,"about_ca_topic_score_gemma":0.00004040136,"domain_scores_codex":[0.9985214,0.0000389322,0.0003250423,0.0001729738,0.0006324689,0.0003091928],"domain_scores_gemma":[0.9994462,0.00002363834,0.00004598392,0.000263162,0.0001258898,0.00009514792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003135463,0.0002646721,0.001358558,0.001012269,0.0003412862,0.00001526472,0.7366166,0.04449366,0.06697564,0.09224467,0.01190361,0.04474244],"study_design_scores_gemma":[0.0002065181,0.00007810582,0.00007854523,0.00006351432,0.00003944457,0.000005569948,0.01644935,0.9749677,0.0004985643,0.007104082,0.0002361459,0.0002724586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725232,0.0001692957,0.008746562,0.0002749367,0.0005270112,0.0001781033,0.000006694601,0.0001658181,0.1174084],"genre_scores_gemma":[0.9994786,3.565912e-7,0.0001898844,0.00001378098,0.0001522216,0.000005818994,3.275608e-7,0.00001090343,0.0001480551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.930474,"threshold_uncertainty_score":0.3127804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054331069","doi":"10.1109/cisda.2014.7035639","title":"Maritime air defence firing tactics","year":2014,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Defence Research and Development Canada","funders":"","keywords":"RAID; Shoot; Computer science; Annihilation; Variable (mathematics); Function (biology); Mathematics; Particle physics; Operating system; Botany; Physics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.003677033030676786,"gpt":0.1659277035803318,"spread":0.1622506705496551,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001439998,0.00009653894,0.0001417217,0.00006044717,0.00003118364,0.00001087373,0.00009830888,0.00004427581,0.0003747597],"category_scores_gemma":[0.00003851654,0.00009348952,0.00006184269,0.0001371572,0.000009898614,0.00009055411,0.00002026503,0.00007914265,0.0006148278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002985398,"about_ca_system_score_gemma":0.000002528199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009904947,"about_ca_topic_score_gemma":0.0001751865,"domain_scores_codex":[0.9994062,0.00001749606,0.0001649976,0.0001178363,0.0001137803,0.0001796987],"domain_scores_gemma":[0.9995553,0.00005818702,0.000009460399,0.0002911955,0.00002089681,0.00006498839],"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":[0.000006034425,0.00005050226,0.02458708,0.0008584583,0.0006007021,0.00003380403,0.0008908428,0.8118976,0.01168614,0.03032157,0.0700847,0.0489826],"study_design_scores_gemma":[0.0001343901,0.00001444374,0.004536001,0.00002550098,0.00003828256,0.00001658742,0.00005899524,0.9217885,0.001556422,0.0005081977,0.07100174,0.0003209167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2446457,0.0005610572,0.335628,0.000113424,0.0004519326,0.0001248416,0.00000399825,0.001399306,0.4170718],"genre_scores_gemma":[0.994225,0.000009186653,0.00385061,0.00006323996,0.00008930005,0.000004327285,0.000002200483,0.00002078393,0.001735367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7495793,"threshold_uncertainty_score":0.7902572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1586227918","doi":"","title":"Strategic Developments In The Western Pacific: Anti-Access/Area Denial And The Airsea Battle Concept","year":2012,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Battle; Denial; Navy; China; Context (archaeology); Action (physics); Political science; Submarine; Military strategy; Computer security; Law; Aeronautics; Operations research; Computer science; Engineering; History; Marine engineering; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.05365424681550897,"gpt":0.2763278382982536,"spread":0.2226735914827446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250366,0.0002192254,0.0005531115,0.0001029567,0.0001574547,0.00002912316,0.0002116945,0.00005545418,0.000009564233],"category_scores_gemma":[0.00003098985,0.0001108491,0.0000899393,0.0001964087,0.0002753747,0.0003771508,0.00004728076,0.0002998235,0.000001655666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002991384,"about_ca_system_score_gemma":0.00002225401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008071,"about_ca_topic_score_gemma":0.0001757313,"domain_scores_codex":[0.9984723,0.000241854,0.0006165815,0.0001110907,0.0002713123,0.0002868984],"domain_scores_gemma":[0.9991713,0.0004550917,0.00008468024,0.0001412721,0.00007611761,0.00007160674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005329362,0.0003043415,0.7373247,0.001053971,0.006848853,0.0004683287,0.2334249,0.008077851,0.0002766006,0.005346684,0.004692633,0.001648242],"study_design_scores_gemma":[0.006294911,0.0003033909,0.470312,0.000546329,0.000796536,0.001619801,0.5097243,0.002023292,0.0000529969,0.006040713,0.001365888,0.000919874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449568,0.1524356,0.00001032789,0.0002094195,0.0003626613,0.000116559,0.000006326109,0.00000811102,0.001894172],"genre_scores_gemma":[0.9872246,0.01243136,0.00004801373,0.00003578606,0.0002139795,0.000007226215,0.00000113539,0.000009474621,0.0000283912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2762994,"threshold_uncertainty_score":0.4520294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211147247","doi":"10.23977/acss.2021.050113","title":"Multi-Agent Unmanned Swarm Combat Architecture Based on Ooda Loop","year":2021,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Swarm behaviour; Architecture; Engineering; Computer science; Systems engineering; Control engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01122587273625266,"gpt":0.2273126481167158,"spread":0.2160867753804631,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002644036,0.0002785074,0.0005602712,0.0001781987,0.00005648391,0.00007221338,0.0001437817,0.00008871948,0.00001478218],"category_scores_gemma":[0.000009631542,0.0002501703,0.0001065107,0.000336674,0.00002538408,0.0001053107,0.0000387766,0.0002008539,0.00001735488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005599678,"about_ca_system_score_gemma":0.00001475733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004588722,"about_ca_topic_score_gemma":0.0001760173,"domain_scores_codex":[0.9982859,0.00020324,0.0005081603,0.0004318242,0.0002594252,0.000311427],"domain_scores_gemma":[0.9991318,0.0002229822,0.00005378074,0.0004200139,0.00005808645,0.0001133208],"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":[0.000005705256,0.00004480501,0.0009192624,0.000491495,0.00005039978,0.0001373352,0.00020397,0.9912981,0.0005274191,0.00003994564,0.0001570952,0.006124435],"study_design_scores_gemma":[0.0006710505,0.00006310308,0.000364091,0.0005263385,0.0000141774,0.00002438663,0.00008397713,0.989971,0.0003378048,0.0000227881,0.007629004,0.0002922312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1325863,0.05255188,0.8117466,0.000060011,0.001982284,0.0003933203,0.00003664537,0.0002099487,0.0004330147],"genre_scores_gemma":[0.9942229,0.0003554097,0.004888218,0.0001226956,0.0002174042,0.00003755744,0.00002329073,0.00003564745,0.00009685003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8616366,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417187398","doi":"10.23977/acss.2025.090403","title":"Research on Optimization of UAV Smoke Screen Jamming Bomb Deployment Strategy","year":2025,"lang":"","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Software deployment; Electromagnetic shielding; Duration (music); Detonation; Jamming; Survivability; Sensitivity (control systems)","retraction":null,"screen_n_in":null,"score":{"opus":0.04040698111847105,"gpt":0.3288040286647692,"spread":0.2883970475462981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002709574,0.0004136791,0.001121013,0.001332604,0.0001673463,0.0001693035,0.0003832323,0.0002388822,0.00002254793],"category_scores_gemma":[0.00002357091,0.0004158359,0.0001365513,0.001603895,0.0001238186,0.0004291595,0.0001727944,0.0004765301,0.00000463517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270394,"about_ca_system_score_gemma":0.00007505685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656673,"about_ca_topic_score_gemma":0.0002084374,"domain_scores_codex":[0.9951611,0.0009311896,0.001712242,0.000797266,0.0007547628,0.0006434909],"domain_scores_gemma":[0.9977584,0.0008821457,0.0002073179,0.0006719895,0.0003534312,0.0001267242],"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":[0.00004243007,0.00008481922,0.001389414,0.002299144,0.0002481489,0.00002239904,0.0003786512,0.9637164,0.00006192867,0.003419242,0.0001921808,0.02814527],"study_design_scores_gemma":[0.0006726808,0.0004488461,0.0004018603,0.005225732,0.0000430039,0.000004115868,0.0009260226,0.9903513,0.0001438603,0.0001291394,0.001343446,0.0003100176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07090334,0.1675324,0.754594,0.00005831846,0.001629314,0.00139771,0.00004863648,0.00006701465,0.003769296],"genre_scores_gemma":[0.9901618,0.007437903,0.001835661,0.00001815753,0.0002605787,0.00006152235,0.00001220209,0.00003974476,0.0001724003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9192585,"threshold_uncertainty_score":0.9998294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037575266","doi":"10.1109/ccece.2012.6334977","title":"The discussion of applications of the fuzzy average to matrix game theory","year":2012,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thales (Canada)","funders":"","keywords":"Fuzzy logic; Mathematics; Differentiable function; Game theory; Nash equilibrium; Matrix (chemical analysis); Normal-form game; Zero-sum game; Stochastic game; Fuzzy set; Value (mathematics); Fuzzy number; Mathematical economics; Repeated game; Mathematical optimization; Computer science; Pure mathematics; Artificial intelligence; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.003769626497947724,"gpt":0.2128977389100625,"spread":0.2091281124121148,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003876199,0.000061536,0.0001065043,0.00003229034,0.00004006109,0.000002997093,0.000194449,0.000025257,0.00007144245],"category_scores_gemma":[0.00001907192,0.00002347664,0.00009881403,0.0002620238,0.00002440609,0.0000358555,0.00004845615,0.00004622347,0.00004815547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590248,"about_ca_system_score_gemma":0.000003640318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004391018,"about_ca_topic_score_gemma":0.0000406039,"domain_scores_codex":[0.9994292,0.00005158908,0.0002194395,0.00005041846,0.0001292801,0.0001201044],"domain_scores_gemma":[0.9992858,0.00008588767,0.00002832272,0.0005370536,0.0000231677,0.00003980758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002510838,0.0001365287,0.0106262,0.0004822725,0.00064031,1.248039e-7,0.01179867,0.1013198,0.07361063,0.7451473,0.01608735,0.04012569],"study_design_scores_gemma":[0.0008827318,0.00007889682,0.1074745,0.0002930771,0.0007135093,0.00001927544,0.01739365,0.02463689,0.08971774,0.03519142,0.7222409,0.001357383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3177212,0.00698927,0.4856358,0.001166902,0.0007598351,0.002500266,0.00009299785,0.000316592,0.1848171],"genre_scores_gemma":[0.9943481,0.00001539301,0.0001608455,0.00000799656,0.00004492171,0.00003772974,7.227263e-7,0.00001043949,0.005373843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7099559,"threshold_uncertainty_score":0.09573494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2966667151","doi":"10.4050/f-0075-2019-14656","title":"Speed and Maneuverability Benefits of Sikorsky's X2 Technology versus Air-Defense Artillery","year":2019,"lang":"en","type":"article","venue":"","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Survivability; Radar; Artillery; Vulnerability (computing); Computer science; Aeronautics; Acceleration; Key (lock); Computer security; Aerospace engineering; Simulation; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007831395856146662,"gpt":0.1886421218827332,"spread":0.1808107260265865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001750474,0.0001647849,0.0004129747,0.0002441391,0.00001729395,0.000004556682,0.0001174931,0.0001589139,0.0004032427],"category_scores_gemma":[0.00003879382,0.0001551104,0.00008207061,0.0003593519,0.00005672997,0.00008155221,0.00006377565,0.0001230415,0.0001609419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004185135,"about_ca_system_score_gemma":0.000006685088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001408819,"about_ca_topic_score_gemma":0.0002172571,"domain_scores_codex":[0.9989912,0.00001885547,0.0003460904,0.0002627576,0.0001583823,0.0002227355],"domain_scores_gemma":[0.999188,0.0000863956,0.00003350026,0.000575372,0.00005830295,0.00005841757],"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":[0.0007024329,0.0003177129,0.3049496,0.003370896,0.002859638,0.00003786064,0.001883943,0.5258176,0.08815818,0.04006035,0.005483767,0.0263581],"study_design_scores_gemma":[0.02225046,0.002773189,0.2999576,0.0006329797,0.001389798,0.0002542199,0.01379644,0.4616576,0.1502835,0.004425122,0.03627713,0.006302023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847972,0.0007744779,0.00004520435,0.00006663366,0.0002638748,0.0001915452,0.00001162148,0.0002741409,0.01357529],"genre_scores_gemma":[0.9990369,0.00004853348,0.00035955,0.000008174612,0.00001873197,0.000002913469,0.000003397434,0.00002216123,0.0004996232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06416003,"threshold_uncertainty_score":0.6325218,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407422884","doi":"10.48550/arxiv.2502.06794","title":"Predicted Multi-Messenger Signatures of a Compact Nuclear K-Isomer Propulsion Source: The Case of Hf-178m2","year":2025,"lang":"en","type":"preprint","venue":"Open MIND","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Aerospace; Engineering; Aerospace engineering; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.02231316251744274,"gpt":0.2786359317650076,"spread":0.2563227692475648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005088018,0.0003624296,0.0009352892,0.0002478094,0.00007003461,0.0000537944,0.0009010123,0.000410401,0.001473433],"category_scores_gemma":[0.00009359207,0.0002631407,0.0003176899,0.0003330511,0.0001013788,0.00007031366,0.0007387432,0.0007595214,0.00002245431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006556232,"about_ca_system_score_gemma":0.0000752531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584745,"about_ca_topic_score_gemma":0.0007392027,"domain_scores_codex":[0.9980609,0.0002176924,0.0008296726,0.0004326031,0.0002340667,0.0002250832],"domain_scores_gemma":[0.9981008,0.0001304558,0.0002721358,0.001238239,0.0001848669,0.00007351149],"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":[0.0001571128,0.0004006538,0.0004437192,0.00357214,0.004555226,0.0003966931,0.02175849,0.8936487,0.03626935,0.00001235614,0.01685121,0.02193434],"study_design_scores_gemma":[0.001520602,0.00009238024,0.002475703,0.00328433,0.00171068,0.0001177363,0.005901127,0.9415164,0.008574662,0.00001620451,0.03379564,0.0009945034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910648,0.001987041,0.0001884158,0.00005387554,0.0003277752,0.001676712,0.001060211,0.00001691556,0.003624197],"genre_scores_gemma":[0.9956643,0.00004434816,0.002147646,0.000004849167,0.00005047315,0.00001797817,0.00008505589,0.00004677686,0.001938579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04786773,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031861914","doi":"10.1117/12.544176","title":"&lt;title&gt;Defence R&amp;amp;D Canada's autonomous intelligent systems program&lt;/title&gt;","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Work (physics); Control (management); Path (computing); Operations research; Independence (probability theory); Systems engineering; Engineering management; Aeronautics; Artificial intelligence; Engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01133358631369725,"gpt":0.2161266406141407,"spread":0.2047930543004435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002873653,0.0002878971,0.0003785901,0.00009554125,0.00004965346,0.00007632353,0.0005980053,0.0001546414,0.00007599396],"category_scores_gemma":[0.0001570929,0.0002561347,0.0003869185,0.0003123622,0.0000895502,0.0001564644,0.00007230008,0.0002388449,0.00005258711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005255411,"about_ca_system_score_gemma":0.00008657801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008275071,"about_ca_topic_score_gemma":0.0001018201,"domain_scores_codex":[0.9981551,1.905486e-8,0.0005912165,0.0002823609,0.000605678,0.0003655931],"domain_scores_gemma":[0.9989301,0.00004177767,0.0001422575,0.00009017924,0.0006604487,0.0001352246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002070666,0.0001317596,0.00008193438,0.001863344,0.001466381,7.979862e-7,0.0003172652,0.01666418,0.1260021,0.7446038,0.1072031,0.001644662],"study_design_scores_gemma":[0.0006418805,0.0001197809,0.0001734776,0.0007090076,0.0003129167,0.00006284895,0.0004634661,0.0653002,0.01071452,0.0007732291,0.9197766,0.0009520209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619921,0.001074795,0.0002722325,0.0003912923,0.0008966558,0.0005951371,0.00007709471,0.0002825113,0.03441821],"genre_scores_gemma":[0.9169941,0.0004009366,0.0760396,0.00006729391,0.00115748,0.00037393,0.00004690424,0.0002115425,0.004708205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8125736,"threshold_uncertainty_score":0.9999891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390667953","doi":"10.1177/15485129231220681","title":"Renormalization theory and wargaming: multi-layered wargames","year":2024,"lang":"en","type":"article","venue":"The Journal of Defense Modeling and Simulation Applications Methodology Technology","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Variety (cybernetics); Overhead (engineering); Domain (mathematical analysis); Imperfect; Scale (ratio); Artificial intelligence; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.05222689399049785,"gpt":0.320943781542418,"spread":0.2687168875519201,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003237272,0.000142702,0.000300601,0.000672792,0.000141472,0.00002152264,0.0001353699,0.0002158486,0.000004594434],"category_scores_gemma":[0.000290853,0.0001049435,0.00005276291,0.0005134619,0.0001313954,0.0001036447,0.00003796865,0.0003410102,0.000003436161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000299941,"about_ca_system_score_gemma":0.00001729519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004546162,"about_ca_topic_score_gemma":0.000004377456,"domain_scores_codex":[0.9985853,0.0004637122,0.0005712375,0.0001449494,0.00009066951,0.0001441065],"domain_scores_gemma":[0.9981347,0.001319457,0.00009210874,0.0002513563,0.0001605663,0.00004176354],"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":[0.00001872568,0.000006223081,0.00005820758,0.00005375838,0.0001573488,0.000001487084,0.0008863667,0.9524072,0.003500686,0.02021677,0.000009338504,0.02268392],"study_design_scores_gemma":[0.000153649,0.00002431997,0.00001013961,0.00003081124,0.0002086558,0.0002591601,0.0009844925,0.9610205,0.0002003292,0.03614307,0.0008695276,0.00009535748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1393015,0.02282322,0.8371199,0.0003013449,0.0000899829,0.0001423166,0.000002785054,0.0001951228,0.00002383372],"genre_scores_gemma":[0.946537,0.001651159,0.05164609,0.0000217685,0.00006619874,0.00001379167,0.000002277611,0.00002640302,0.00003527372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8072355,"threshold_uncertainty_score":0.4279473,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145369059","doi":"10.5539/ijps.v4n3p43","title":"Insurgency Decision-making under Conditions of Risk","year":2012,"lang":"en","type":"article","venue":"International Journal of Psychological Studies","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Chechen; Insurgency; Tamil; Spanish Civil War; Prospect theory; Risk aversion (psychology); Political science; Psychology; Social psychology; Expected utility hypothesis; Criminology; Law; Economics; Financial economics; Politics; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.04615905100979147,"gpt":0.3921136205633764,"spread":0.3459545695535849,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796188,0.00009840896,0.0002936375,0.0002040756,0.00002960435,0.000005751817,0.0002293489,0.00004813999,0.0003672823],"category_scores_gemma":[0.000613328,0.00006911331,0.0002272275,0.0001398212,0.00006737117,0.0001621328,0.00003667168,0.0001687948,0.00002825552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000703417,"about_ca_system_score_gemma":0.000002637231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002757771,"about_ca_topic_score_gemma":0.000005694277,"domain_scores_codex":[0.9986814,0.00005377738,0.0006685818,0.00006380913,0.0004047518,0.0001276871],"domain_scores_gemma":[0.9985734,0.0006122048,0.0002395817,0.00008852678,0.0004333787,0.00005294745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003232562,0.001607537,0.7053801,0.00007063575,0.01698925,0.0001637623,0.007468571,0.1201593,0.00332756,0.01534588,0.05933354,0.06983053],"study_design_scores_gemma":[0.0006044086,0.0001018331,0.9662418,0.000358368,0.000184289,0.0002841927,0.002473884,0.0002099966,0.00009444965,0.02628227,0.002937307,0.000227136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700891,0.01197677,0.01347223,0.00005239651,0.002905523,0.00002664353,0.00003268451,0.00001717551,0.001427479],"genre_scores_gemma":[0.9949986,0.002298055,0.002228214,0.00003456607,0.0004253434,0.000001314737,7.3522e-7,0.000007098567,0.000006018279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2608617,"threshold_uncertainty_score":0.4021484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117251599","doi":"10.5267/j.ijiec.2025.12.006","title":"Bayesian evaluation of multi-grade damage efficiency of ammunition using multi-stage binomial distribution","year":2025,"lang":"","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Multinomial distribution; Identifiability; Markov chain Monte Carlo; Prior probability; Bayesian probability; Gibbs sampling; Fisher information; Ammunition; Uncertainty quantification","retraction":null,"screen_n_in":null,"score":{"opus":0.08501191574315461,"gpt":0.3374429335165788,"spread":0.2524310177734241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002419959,0.0003844082,0.0008247869,0.001995916,0.00009362713,0.00007621125,0.0006808075,0.0003610791,0.00007152373],"category_scores_gemma":[0.001764589,0.0004530339,0.0005874655,0.001393892,0.0001044585,0.0004909129,0.0001081643,0.0007835765,0.00000135063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424351,"about_ca_system_score_gemma":0.0008576717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005472555,"about_ca_topic_score_gemma":0.00002894993,"domain_scores_codex":[0.9946399,0.0003756875,0.002989671,0.0002451779,0.001461967,0.0002875916],"domain_scores_gemma":[0.9940451,0.0004415815,0.00140294,0.0002966342,0.003688149,0.0001256312],"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":[0.0000576883,0.0004384383,0.0008110046,0.000121658,0.001684771,0.000009668602,0.000582248,0.9752167,0.01806952,0.0004364458,0.00003551661,0.002536272],"study_design_scores_gemma":[0.005458349,0.00008487101,0.002119579,0.001943491,0.001042713,0.00002291794,0.0005162163,0.9821259,0.006314991,0.00002133262,0.00008885274,0.0002607312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4448852,0.0005166259,0.5502697,0.00004719018,0.003532413,0.0002977965,0.0004183506,0.00001789569,0.00001478894],"genre_scores_gemma":[0.9899596,0.00004540963,0.009287518,0.00000267058,0.0004645373,0.000005053919,0.0001805474,0.00003640164,0.00001828146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5450743,"threshold_uncertainty_score":0.9997922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01406419898970773,"gpt":0.2373382557113664,"spread":0.2232740567216587,"validation_status":"score_only:v0-immature-baseline"},"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"},"labels":[],"label_agreement":null},{"id":"W2980140223","doi":"","title":"Improving Civilian Protection during War through Conflict-Specific Behavioural Regulation of Combatants","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Government of Canada; U.S. Department of Justice","keywords":"Political science; Criminology; Computer security; Law; Law and economics; Political economy; Psychology; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.06369615289117166,"gpt":0.2485194980045999,"spread":0.1848233451134282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002323741,0.00032995,0.0004779513,0.000475911,0.0001297954,0.00005510925,0.000403425,0.0002417102,0.00009720981],"category_scores_gemma":[0.000008429004,0.0004002064,0.0001987179,0.0006277532,0.00005633974,0.001947175,0.0001281905,0.0004463619,0.0002117517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622638,"about_ca_system_score_gemma":0.00002069331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005478456,"about_ca_topic_score_gemma":0.0007566345,"domain_scores_codex":[0.9980776,0.0001453143,0.0004622944,0.0004860655,0.0004173712,0.0004113411],"domain_scores_gemma":[0.9987453,0.00002483567,0.0002077712,0.0007496827,0.0001553175,0.0001171493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006165227,0.00003061834,0.8246613,0.0004021262,0.0001101898,0.0000285141,0.0009501885,0.002579378,0.1709326,0.0000203636,3.027571e-7,0.0002228424],"study_design_scores_gemma":[0.00118398,0.00007556654,0.9505832,0.0002907186,0.00009158962,0.000031699,0.0005758649,0.00008797427,0.04625733,0.000009764844,0.0003441452,0.0004681457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965962,0.0002458438,0.001586107,0.000008919145,0.0003751431,0.0006237327,0.00003771098,0.0003304756,0.0001959113],"genre_scores_gemma":[0.998038,0.00005100547,0.00004799571,0.000004369392,0.00005130672,0.000001991957,0.00003018792,0.00006642596,0.001708743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.125922,"threshold_uncertainty_score":0.999845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}