{"meta":{"query_hash":"e7983ccd4b82","filters":{"venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)"},"cohort_total":36,"direct_labels_cover":0,"predictions_cover":36,"exported":36,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e7983ccd4b82","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Transactions+on+Systems+Man+and+Cybernetics+Part+C+%28Applications+and+Reviews%29"},"results":[{"id":"W2025543203","doi":"10.1109/tsmcc.2011.2130523","title":"Information Flow Control for Collaborative Distributed Data Fusion and Multisensor Multitarget Tracking","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Sensor fusion; Redundancy (engineering); Fusion; Tracking (education); Data redundancy; Data mining; Process (computing); Information flow; Distributed computing; Real-time computing; Artificial intelligence; Database","score_opus":0.03760157142865022,"score_gpt":0.2747721772599405,"score_spread":0.2371706058312903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025543203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004702687,0.009113399,0.9856795,0.00021651686,0.00041686863,0.0019299402,0.0020549223,0.00007812973,0.000040469957],"genre_scores_gemma":[0.9401555,0.025833163,0.03167032,0.00025566714,0.0002532145,0.0011346457,0.000558854,0.000021393316,0.0001172209],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986061,0.00012200464,0.0005402653,0.00032117052,0.00014312768,0.0002673438],"domain_scores_gemma":[0.9984887,0.0002524033,0.00021939215,0.0006740347,0.00014859313,0.00021682984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060087134,0.0002136831,0.0003397759,0.00008103257,0.00056373916,0.00030455497,0.0002476999,0.00011798393,0.000003262539],"category_scores_gemma":[0.0000138707455,0.00017536001,0.00003548434,0.00023868792,0.00008120527,0.0008382211,0.000013042135,0.0001454894,0.00001468679],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050882016,0.00037451065,0.00020894957,0.0007229923,0.00011258317,4.0121674e-7,0.0017739782,0.0027096716,0.0002204901,0.010418537,0.011278989,0.97212803],"study_design_scores_gemma":[0.0007837649,0.000049626542,0.00021858104,0.00014607047,0.00008094296,0.000023061593,0.00018840742,0.22255668,0.00005205496,0.000023636834,0.7756347,0.00024246545],"about_ca_topic_score_codex":0.000015477939,"about_ca_topic_score_gemma":0.000008992496,"teacher_disagreement_score":0.97188556,"about_ca_system_score_codex":0.00001603661,"about_ca_system_score_gemma":0.000014996962,"threshold_uncertainty_score":0.71509737},"labels":[],"label_agreement":null},{"id":"W2049878117","doi":"10.1109/tsmcc.2012.2187188","title":"Verification and Validation of Hierarchical Fault Diagnosis in Satellites Formation Flight","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fault (geology); Computer science; Geology; Seismology","score_opus":0.017522838784117638,"score_gpt":0.23837083262001113,"score_spread":0.22084799383589349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049878117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5954835,0.084603064,0.31176344,0.00021739128,0.0008169305,0.0045908503,0.000104793595,0.00022507345,0.00219499],"genre_scores_gemma":[0.9571353,0.04136543,0.000110785164,0.000010766451,0.000052250507,0.0012125429,0.000008698134,0.00001369243,0.00009052938],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897146,0.00010860802,0.0005312079,0.0001466295,0.000098294404,0.00014379312],"domain_scores_gemma":[0.9995236,0.00007952769,0.000087847846,0.0001800967,0.000026803655,0.00010217143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003632558,0.00014062965,0.00027326163,0.00014596673,0.00009844659,0.00004143613,0.000039757215,0.000100123376,0.00000626256],"category_scores_gemma":[0.0000029666855,0.00012721038,0.000035831534,0.00019839742,0.000051192997,0.00016743178,9.924578e-7,0.00013444996,0.000014158207],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049219623,0.00067689636,0.0038908734,0.006012224,0.00016587162,4.5977018e-7,0.005458825,0.008847871,0.022525446,0.010172634,0.00065541285,0.9415443],"study_design_scores_gemma":[0.0016495356,0.00018992559,0.0050210804,0.0012664623,0.00026779893,0.00010498527,0.0010414371,0.078133635,0.03915422,0.00016748992,0.87207466,0.00092874473],"about_ca_topic_score_codex":0.00002018165,"about_ca_topic_score_gemma":0.000011648024,"teacher_disagreement_score":0.94061553,"about_ca_system_score_codex":0.000026290432,"about_ca_system_score_gemma":0.0000029698401,"threshold_uncertainty_score":0.5187489},"labels":[],"label_agreement":null},{"id":"W2049950845","doi":"10.1109/tsmcc.2012.2205680","title":"Wireless Sensor Network Reliability and Security in Factory Automation: A Survey","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Western University","funders":"National Research Council Canada; U.S. Food and Drug Administration; University of Calgary","keywords":"Factory (object-oriented programming); Reliability (semiconductor); Wireless sensor network; Automation; Computer science; Productivity; Wireless; Computer security; Risk analysis (engineering); Reliability engineering; Engineering; Telecommunications; Power (physics); Computer network; Business","score_opus":0.023128259114634835,"score_gpt":0.25221022655290376,"score_spread":0.22908196743826892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049950845","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19050169,0.01880364,0.7875375,0.00017967977,0.0006531106,0.0016947871,0.00003057715,0.0001613473,0.00043766008],"genre_scores_gemma":[0.98436767,0.01378556,0.0010733024,0.00006986617,0.000106532956,0.00036342605,0.000005687653,0.000014891533,0.00021308781],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782634,0.0005407544,0.0005885138,0.00049975567,0.00017660474,0.0003680557],"domain_scores_gemma":[0.9986012,0.00029205935,0.00017752805,0.0006224299,0.00006593044,0.00024082516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001320848,0.00024433335,0.0004327047,0.000088086956,0.00028541195,0.00013939566,0.00017866615,0.0001542472,0.0000036210326],"category_scores_gemma":[0.0000041090825,0.00021410387,0.00004783728,0.00048282012,0.00014154107,0.00020160063,0.000010734218,0.00026377168,0.0000137742245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010434817,0.0046454505,0.10064597,0.0046685906,0.00032006323,0.000010115143,0.01170075,0.18151246,0.00028156847,0.112268366,0.0060093463,0.577833],"study_design_scores_gemma":[0.0015962856,0.00022564013,0.09159933,0.0014193391,0.00014336298,0.00020952018,0.0002663304,0.53706825,0.00016542019,0.00032178563,0.3649899,0.001994856],"about_ca_topic_score_codex":0.00014548743,"about_ca_topic_score_gemma":0.0001599585,"teacher_disagreement_score":0.793866,"about_ca_system_score_codex":0.00004164652,"about_ca_system_score_gemma":0.000016900622,"threshold_uncertainty_score":0.87309027},"labels":[],"label_agreement":null},{"id":"W2081245261","doi":"10.1109/tsmcc.2012.2213809","title":"Agent-Based Decision Support and Simulation for Wood Products Manufacturing","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mill; Decision support system; Doors; Steel mill; Computer science; Production (economics); Manufacturing engineering; Negotiation; Industrial engineering; Ontology; Engineering; Artificial intelligence; Mechanical engineering","score_opus":0.027431891209747733,"score_gpt":0.26618805332561174,"score_spread":0.238756162115864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081245261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006953839,0.007166966,0.98370343,0.000039857405,0.00036541236,0.0015050774,0.000035021905,0.00010468497,0.00012572546],"genre_scores_gemma":[0.9715447,0.006721968,0.02010386,0.000053683576,0.00017677323,0.0009690427,0.000023537594,0.000039221366,0.0003672175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999135,0.000023931956,0.00035324518,0.0002143378,0.00008906442,0.00018439261],"domain_scores_gemma":[0.99943656,0.00010386677,0.00006114362,0.00021291409,0.000039425577,0.00014611866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027574375,0.00017289781,0.00022463412,0.000092535825,0.00020701892,0.00007448631,0.000040797735,0.00008532342,0.0000079573565],"category_scores_gemma":[0.000003405202,0.00015204541,0.00003869402,0.00009029388,0.000032713964,0.000087353605,0.0000010273521,0.00008787062,0.000014661499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022053222,0.00015170092,0.000040023613,0.0013549377,0.000063126594,1.7015735e-7,0.00031196375,0.5461475,0.00016412915,0.00027415907,0.0004148541,0.45105535],"study_design_scores_gemma":[0.0010696128,0.00007362887,0.00014059327,0.0002552866,0.00019467689,0.000016733804,0.000094361894,0.5105834,0.002852266,0.000018794195,0.48427135,0.0004293083],"about_ca_topic_score_codex":0.0000020260898,"about_ca_topic_score_gemma":0.0000015517717,"teacher_disagreement_score":0.96459085,"about_ca_system_score_codex":0.000018951481,"about_ca_system_score_gemma":0.0000062335043,"threshold_uncertainty_score":0.6200232},"labels":[],"label_agreement":null},{"id":"W2094069839","doi":"10.1109/tsmcc.2011.2174982","title":"Application-Oriented Intelligent Middleware for Distributed Sensing and Control","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Middleware (distributed applications); Computer science; Automation; Wireless sensor network; Software deployment; Distributed computing; Embedded system; Factory (object-oriented programming); Industrial control system; Task (project management); Control (management); Computer network; Software engineering; Systems engineering; Engineering; Artificial intelligence","score_opus":0.018251195137013784,"score_gpt":0.24485761557719515,"score_spread":0.22660642044018137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094069839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009611247,0.012940217,0.9836734,0.00020473829,0.00025254165,0.0017691546,0.00006232326,0.00008489821,0.000051617055],"genre_scores_gemma":[0.98626304,0.007383136,0.0049348352,0.00013538584,0.00013687022,0.00087484095,0.000020822186,0.000019793408,0.00023128634],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857575,0.00009417388,0.0004719216,0.00042701437,0.00012504577,0.00030608862],"domain_scores_gemma":[0.99878514,0.0001948632,0.00017752966,0.00048664137,0.00010405269,0.00025178443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036740655,0.00022185873,0.00034476162,0.00007866233,0.0004174929,0.00012224936,0.00013192551,0.00010454352,9.491528e-7],"category_scores_gemma":[0.0000033541903,0.00019084728,0.000065144806,0.00026506302,0.0001037211,0.00010375119,0.0000053245453,0.00012559876,0.000009279121],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003143023,0.0006938587,0.00038197215,0.0010154529,0.00020551725,6.7009586e-7,0.0010844244,0.015039882,0.0010537446,0.09920994,0.0009696113,0.8803135],"study_design_scores_gemma":[0.0005373876,0.00006950735,0.000110036955,0.0002170784,0.00012478892,0.00006148335,0.000103532504,0.29513633,0.00048962765,0.000056812896,0.7027177,0.0003756947],"about_ca_topic_score_codex":0.000023016877,"about_ca_topic_score_gemma":0.000011319928,"teacher_disagreement_score":0.9853019,"about_ca_system_score_codex":0.000028968678,"about_ca_system_score_gemma":0.000009850422,"threshold_uncertainty_score":0.7782526},"labels":[],"label_agreement":null},{"id":"W2100361444","doi":"10.1109/tsmcc.2010.2059013","title":"Decision-Making Assistance in Engineering-Change Management Process","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Process (computing); Product data management; Computer science; Process management; Concurrent engineering; Change management (ITSM); Collaborative engineering; Product (mathematics); Engineering design process; Engineering management; Product design; New product development; Knowledge management; Systems engineering; Engineering; Work in process; Manufacturing engineering; Product lifecycle; Operations management; Business","score_opus":0.014773493717201264,"score_gpt":0.24128230813964469,"score_spread":0.22650881442244342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100361444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19999032,0.014805069,0.75039375,0.0012513654,0.00453804,0.013041662,0.000028352553,0.00058955804,0.015361887],"genre_scores_gemma":[0.9943625,0.0026486465,0.00057377084,0.00019716291,0.00024950967,0.0016175853,0.0000052464156,0.00002297989,0.00032261087],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989199,0.000006703598,0.0003937272,0.0003575846,0.00014402313,0.00017803055],"domain_scores_gemma":[0.9995081,0.000024237448,0.00013790907,0.0002515016,0.000055983306,0.000022300626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033889912,0.00018483025,0.00023216491,0.0002534548,0.00018088556,0.00022909997,0.0001189096,0.00007303433,0.000024548792],"category_scores_gemma":[0.0000042399893,0.00016398313,0.000032169355,0.00048400197,0.00003306604,0.00028470438,0.0000046543023,0.00017511715,0.00006182794],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000444376,0.00045527,0.002684124,0.004481631,0.00006503823,0.000007120506,0.00030699457,0.0010918673,0.00019826616,0.055759966,0.0009629058,0.9339424],"study_design_scores_gemma":[0.00060181966,0.00000957869,0.0042389506,0.0014378729,0.000117784,0.00001321771,0.00015599636,0.014709675,0.00002558418,0.00079207495,0.97729576,0.00060167554],"about_ca_topic_score_codex":0.000013061376,"about_ca_topic_score_gemma":0.0000782135,"teacher_disagreement_score":0.97633284,"about_ca_system_score_codex":0.000013542245,"about_ca_system_score_gemma":0.0000049000614,"threshold_uncertainty_score":0.6687038},"labels":[],"label_agreement":null},{"id":"W2100975384","doi":"10.1109/tsmcc.2010.2084571","title":"A Multifaceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Waterloo","funders":"","keywords":"Computer science; Vehicular ad hoc network; Context (archaeology); Wireless ad hoc network; Computer security; Order (exchange); Trustworthiness; Risk analysis (engineering); Intelligent transportation system; Human–computer interaction; Wireless; Transport engineering; Business; Engineering; Telecommunications","score_opus":0.012577171545020964,"score_gpt":0.24156684517287094,"score_spread":0.22898967362784997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100975384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05229033,0.018294094,0.9215524,0.0000234279,0.00007531711,0.007551989,0.000024678893,0.000047868216,0.00013985958],"genre_scores_gemma":[0.9638863,0.01324305,0.0029360738,0.000028450251,0.000041928586,0.01977348,0.000034156426,0.000031868414,0.000024699653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998787,0.00011144111,0.00051661354,0.0002801591,0.000109209854,0.00019561549],"domain_scores_gemma":[0.99898905,0.00011580203,0.00008861507,0.00065337436,0.000064784275,0.00008839208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007283269,0.00020259194,0.00035900236,0.00009163577,0.00017195956,0.000051269762,0.00020295643,0.00014977365,7.545134e-7],"category_scores_gemma":[0.0000023904233,0.00016220585,0.0000816707,0.00031647328,0.000055580495,0.000044459706,0.000003158581,0.00032699652,0.000003918539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063692655,0.00010312303,0.000003300367,0.0002588085,0.000025115323,4.9820155e-8,0.00045135376,0.90160865,0.00053453527,0.00036455962,0.000041005947,0.09660316],"study_design_scores_gemma":[0.00027561348,0.000040524188,0.000022819326,0.00010597568,0.00007343723,0.000014317325,0.00021213821,0.89216065,0.0000544251,0.000018080336,0.10686834,0.00015367063],"about_ca_topic_score_codex":0.000020603073,"about_ca_topic_score_gemma":0.00008545565,"teacher_disagreement_score":0.91861635,"about_ca_system_score_codex":0.00002691581,"about_ca_system_score_gemma":0.000005808875,"threshold_uncertainty_score":0.6614562},"labels":[],"label_agreement":null},{"id":"W2102374601","doi":"10.1109/tsmcc.2007.900653","title":"Business-to-Consumer Mobile Agent-Based Internet Commerce System (MAGICS)","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Hong Kong Polytechnic University","keywords":"Computer science; Mobile commerce; The Internet; Mobile device; Product (mathematics); E-commerce; Mobile agent; World Wide Web; Computer network","score_opus":0.020638029886018948,"score_gpt":0.2543265161206414,"score_spread":0.23368848623462243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102374601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014868489,0.0059242486,0.9868939,0.00017730429,0.00057477626,0.0032385706,0.000018554696,0.00019708554,0.001488705],"genre_scores_gemma":[0.9804842,0.0044510975,0.0066007613,0.0010014491,0.00014701534,0.003753765,0.000013286264,0.00004901817,0.0034994292],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975295,0.00015843396,0.00084161124,0.00076224376,0.00029037462,0.00041784483],"domain_scores_gemma":[0.9979907,0.0001388995,0.00024038681,0.001114991,0.00014198372,0.00037299658],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010009129,0.00035364414,0.00048563,0.00027646185,0.00030875445,0.0003001484,0.0005184719,0.00010524534,0.000014643599],"category_scores_gemma":[0.0000017039916,0.00031085196,0.00010093533,0.0008472967,0.00009793408,0.0001125771,0.000018251434,0.00019883593,0.00030885552],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046324665,0.0008196667,0.00025165483,0.003196005,0.00021485353,0.000028700197,0.00054949516,0.015937734,0.0002324481,0.045500923,0.020122396,0.9130998],"study_design_scores_gemma":[0.0004314872,0.00011323609,0.00022570198,0.0006199744,0.000101362166,0.000034325687,0.000106992804,0.0225796,0.00016198767,0.000008397019,0.9751953,0.00042165036],"about_ca_topic_score_codex":0.00012420202,"about_ca_topic_score_gemma":0.00006240871,"teacher_disagreement_score":0.98029315,"about_ca_system_score_codex":0.00012527959,"about_ca_system_score_gemma":0.000030515312,"threshold_uncertainty_score":0.9999344},"labels":[],"label_agreement":null},{"id":"W2103414007","doi":"10.1109/tsmcc.2010.2048428","title":"Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":280,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Intrusion detection system; Anomaly detection; Anomaly-based intrusion detection system; Variety (cybernetics); Constant false alarm rate; Computer science; Anomaly (physics); Data mining; Field (mathematics); Data science; Mainstream; Computer security; Artificial intelligence; Mathematics","score_opus":0.04866288168365428,"score_gpt":0.3191304410893022,"score_spread":0.27046755940564793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103414007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010316324,0.0027330583,0.98396903,0.00014880166,0.0008966768,0.0012891412,0.000007473977,0.00007039429,0.0005691104],"genre_scores_gemma":[0.9822419,0.0036201833,0.012937755,0.00006649781,0.00012592284,0.0008872,0.0000025129093,0.000013159906,0.00010483761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998108,0.0003913721,0.0005814321,0.0004441642,0.00031136285,0.00016361855],"domain_scores_gemma":[0.9985921,0.00012301243,0.0002809692,0.0006063779,0.00026357098,0.0001340094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053872,0.00018795904,0.00032594972,0.00020950793,0.00032770366,0.000119739576,0.00021350784,0.00016635918,0.00003699288],"category_scores_gemma":[0.000011647266,0.00016256205,0.00009302516,0.0005264733,0.000116524134,0.00017004747,0.000006418253,0.00030241688,0.00001638156],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008677761,0.000160808,0.0000069948833,0.00020535468,0.000022117796,1.2070126e-7,0.00018130115,0.0009559747,0.012467814,0.004974943,0.00008406614,0.9809318],"study_design_scores_gemma":[0.0008084333,0.00032450492,0.00020352806,0.0002357808,0.00024131448,0.000064285,0.000057739082,0.62417656,0.038432926,0.0015723553,0.33344802,0.0004345349],"about_ca_topic_score_codex":0.00006556383,"about_ca_topic_score_gemma":0.00006646986,"teacher_disagreement_score":0.9804973,"about_ca_system_score_codex":0.000023631195,"about_ca_system_score_gemma":0.00004999009,"threshold_uncertainty_score":0.6629088},"labels":[],"label_agreement":null},{"id":"W2103478177","doi":"10.1109/tsmcc.2004.843205","title":"C–Fuzzy Decision Trees","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Decision tree; Decision stump; Decision tree learning; Incremental decision tree; Data mining; ID3 algorithm; Mathematics; Computer science; Cluster analysis; Partition (number theory); Cardinality (data modeling); Artificial intelligence; Combinatorics","score_opus":0.018314617797385312,"score_gpt":0.24677101968662482,"score_spread":0.22845640188923952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103478177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008942691,0.028827546,0.95667803,0.0005888641,0.00042266786,0.001393557,0.000013720996,0.00013642415,0.011044937],"genre_scores_gemma":[0.965058,0.025593234,0.0038389922,0.00032173953,0.00030080843,0.0011257051,0.0000017311062,0.00001655023,0.0037432145],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836546,0.00010693134,0.0005745495,0.00051180326,0.00020637906,0.00023485262],"domain_scores_gemma":[0.99878997,0.00011446114,0.00015024637,0.00066881627,0.00007259973,0.00020391631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040240338,0.00022861359,0.00039842012,0.00010775677,0.0003630627,0.00024497832,0.00031913363,0.0001083782,0.0000051057646],"category_scores_gemma":[0.0000026518285,0.00017329148,0.000097168566,0.00026492839,0.00007553392,0.0001771226,0.0000059784434,0.00015044378,0.00021092489],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005718143,0.00015908861,0.000022360176,0.00008548182,0.00003003265,8.802848e-7,0.00018227534,0.00063925167,0.00012562762,0.06236221,0.0028379199,0.93354917],"study_design_scores_gemma":[0.00047236128,0.00009984275,0.00015653844,0.0002220889,0.000045049394,0.00006988515,0.00004656377,0.0058194804,0.000054633703,0.0012187394,0.9914868,0.00030802193],"about_ca_topic_score_codex":0.000029052724,"about_ca_topic_score_gemma":0.000051293995,"teacher_disagreement_score":0.9886489,"about_ca_system_score_codex":0.000028436727,"about_ca_system_score_gemma":0.00001864429,"threshold_uncertainty_score":0.7066621},"labels":[],"label_agreement":null},{"id":"W2104257868","doi":"10.1109/tsmcb.2002.804369","title":"Self-localizing dynamic microphone arrays","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microphone; Microphone array; Orientation (vector space); Observability; Computer science; Acoustics; Estimator; Speech recognition; Mathematics; Physics; Sound pressure; Geometry","score_opus":0.01819342294778886,"score_gpt":0.23456508668737358,"score_spread":0.21637166373958472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104257868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078178337,0.036393825,0.9602203,0.00038193126,0.00021952167,0.0006717246,0.0000070384226,0.00015467948,0.0011692094],"genre_scores_gemma":[0.76069015,0.17189123,0.060465176,0.00061978155,0.00016076687,0.0010714111,0.0000027943431,0.000048647948,0.005050032],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986662,0.00006671436,0.00041774625,0.00046834565,0.0001392756,0.00024167595],"domain_scores_gemma":[0.9991151,0.00003986266,0.00014153421,0.00048583944,0.000047155532,0.00017050924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020057465,0.00020767824,0.00030369323,0.00010310801,0.0004544242,0.00028313833,0.00024174938,0.00008229547,0.0000124280195],"category_scores_gemma":[9.962562e-7,0.00017662311,0.000067048444,0.00036682253,0.00006805633,0.0001456597,0.0000047190906,0.00017130635,0.00015959376],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027211747,0.0005497461,0.000022958136,0.0012277154,0.00009418584,0.0000059441077,0.001209847,0.00035327743,0.006595099,0.001683514,0.002045447,0.9862096],"study_design_scores_gemma":[0.00041779285,0.00008870101,0.000016278007,0.000420667,0.00007818998,0.00021936353,0.00007944938,0.045968395,0.004105989,0.00014175099,0.94797295,0.00049044983],"about_ca_topic_score_codex":0.0000073736333,"about_ca_topic_score_gemma":0.0000068660065,"teacher_disagreement_score":0.9857191,"about_ca_system_score_codex":0.000028737979,"about_ca_system_score_gemma":0.000010077175,"threshold_uncertainty_score":0.72024816},"labels":[],"label_agreement":null},{"id":"W2106406799","doi":"10.1109/tsmcc.2003.809356","title":"The internationalization of engineering education: a tale of two countries","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Internationalization; Study abroad; Medical education; Order (exchange); Academic year; Audit; Political science; Pedagogy; Public relations; Sociology; Engineering; Psychology; Medicine; Business; Mathematics education; Accounting","score_opus":0.007918079448124038,"score_gpt":0.23430290627702802,"score_spread":0.22638482682890398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106406799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020338343,0.06446684,0.90794986,0.00010563476,0.001717449,0.0016514072,0.000034791905,0.000109845256,0.0036258013],"genre_scores_gemma":[0.9676357,0.030067688,0.0006953352,0.000011641938,0.000029551766,0.00062314817,0.0000042139395,0.000016375665,0.00091637333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993421,0.000019644309,0.0003731398,0.00009656785,0.000091670576,0.00007687933],"domain_scores_gemma":[0.99959,0.00005126918,0.000070587615,0.00016110725,0.0000795118,0.000047565838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017250577,0.00010415087,0.00015324276,0.00006528281,0.00007529917,0.000027570657,0.00005753042,0.000031283416,0.000010463619],"category_scores_gemma":[0.0000034158397,0.000083206345,0.00002966297,0.00015946262,0.00004278914,0.000033493518,6.4489797e-7,0.00006003511,0.000004606386],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071034547,0.00056995865,0.0006501788,0.006737201,0.0004444164,2.0583153e-7,0.0024165106,0.14354268,0.0027496729,0.7302241,0.005961712,0.106696315],"study_design_scores_gemma":[0.00017857853,0.000018641958,0.00017563901,0.00042779787,0.000049843275,0.000020238382,0.00020790749,0.006430545,0.002942574,0.00007816073,0.9892902,0.00017990156],"about_ca_topic_score_codex":0.0000054264583,"about_ca_topic_score_gemma":0.000004510364,"teacher_disagreement_score":0.98332846,"about_ca_system_score_codex":0.000021926173,"about_ca_system_score_gemma":0.000028175078,"threshold_uncertainty_score":0.33930564},"labels":[],"label_agreement":null},{"id":"W2109010302","doi":"10.1109/tsmcc.2010.2049262","title":"Hardware/Software Codesign for a Fuzzy Autonomous Road-Following System","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Software portability; Flexibility (engineering); Computer science; Fuzzy logic; Software; Embedded system; Controller (irrigation); Fuzzy control system; Field (mathematics); Programmable logic controller; Genetic algorithm; Control engineering; Computer hardware; Computer architecture; Artificial intelligence; Engineering; Operating system","score_opus":0.024599577440127036,"score_gpt":0.2609709071260643,"score_spread":0.23637132968593727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109010302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004167029,0.003206881,0.99211824,0.00011866361,0.0011621471,0.002252549,0.00005005081,0.00028853148,0.00038620955],"genre_scores_gemma":[0.6914974,0.002496695,0.28915605,0.0002497895,0.00052943785,0.010259305,0.000025145599,0.00010798014,0.0056782262],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981276,0.00009889181,0.0006130116,0.0006513833,0.00018891884,0.00032022182],"domain_scores_gemma":[0.9984636,0.00016719151,0.00021375628,0.00081921066,0.00008820225,0.00024807156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070172077,0.0002866915,0.00051059993,0.00012909544,0.00060555286,0.0003243995,0.0003968734,0.00016348051,0.000001323975],"category_scores_gemma":[0.0000074666623,0.00024816082,0.00015558703,0.0002624973,0.00006913969,0.00015165289,0.000006228717,0.00027059735,0.00005099716],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001806952,0.00057895586,0.00012624793,0.0034236698,0.00038291598,0.000021288224,0.0017844511,0.0062588044,0.0023864014,0.06398842,0.0039622188,0.91706854],"study_design_scores_gemma":[0.0015095089,0.0003553239,0.0002259249,0.0014645546,0.00041608288,0.0005727675,0.00024621692,0.24535762,0.00055116724,0.00027519974,0.7476614,0.0013642415],"about_ca_topic_score_codex":0.000035989447,"about_ca_topic_score_gemma":0.0000064549845,"teacher_disagreement_score":0.9157043,"about_ca_system_score_codex":0.00003607104,"about_ca_system_score_gemma":0.000054655568,"threshold_uncertainty_score":0.9999971},"labels":[],"label_agreement":null},{"id":"W2114436241","doi":"10.1109/tsmcc.2007.900622","title":"Hierarchical Fault Diagnosis: Application to an Ozone Plant","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computation; Fault (geology); Ozone; Complex system; State (computer science); Algorithm; Theoretical computer science; Artificial intelligence; Meteorology; Physics","score_opus":0.013617341514493295,"score_gpt":0.24824652907356828,"score_spread":0.234629187559075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114436241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016075248,0.0067731524,0.9721916,0.00014749334,0.0004356146,0.002739665,0.00009876306,0.00032994334,0.0012085335],"genre_scores_gemma":[0.98699236,0.008021261,0.0002382968,0.00014403665,0.00023608957,0.0037900407,0.0000142557765,0.00004101081,0.0005226635],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984913,0.000061338644,0.00062103185,0.00038316337,0.00016815677,0.00027502913],"domain_scores_gemma":[0.99900603,0.00005907827,0.000064696964,0.00043116626,0.000039395298,0.00039965648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047051176,0.0002490069,0.00037333198,0.00017321427,0.00024492055,0.00009977798,0.000117948366,0.00014522592,0.00000949936],"category_scores_gemma":[0.0000016842436,0.00022189012,0.000063826024,0.00029708512,0.000050012142,0.00007106305,0.0000016342494,0.0002209178,0.00012802325],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005419019,0.00043521027,0.000116596166,0.00091590564,0.00014458454,0.0000034302407,0.00086176,0.013599794,0.0050458657,0.0055974587,0.002748167,0.97047704],"study_design_scores_gemma":[0.00032074738,0.0001284213,0.00021607347,0.00016411833,0.0000649744,0.00006165543,0.00019357227,0.022295624,0.00060783135,0.000026806209,0.9755721,0.0003480513],"about_ca_topic_score_codex":0.000058194106,"about_ca_topic_score_gemma":0.00022374406,"teacher_disagreement_score":0.972824,"about_ca_system_score_codex":0.000044194327,"about_ca_system_score_gemma":0.000006207319,"threshold_uncertainty_score":0.90484166},"labels":[],"label_agreement":null},{"id":"W2114555853","doi":"10.1109/tsmcc.2008.919168","title":"Roles in Information Systems: A Survey","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Information system; Point (geometry); Data science; Knowledge management; Field (mathematics); Computer science; Management science; Engineering","score_opus":0.02056170647093147,"score_gpt":0.23379562251469488,"score_spread":0.2132339160437634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114555853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016779663,0.016895521,0.96187854,0.00026056092,0.00042444764,0.002036553,0.0000598827,0.00012672284,0.0015381294],"genre_scores_gemma":[0.9745506,0.023569956,0.0004535232,0.00027467406,0.000045098266,0.0008346155,0.000017249891,0.000009646793,0.00024460425],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985363,0.00020294319,0.0005836222,0.0003000207,0.00017930986,0.00019779119],"domain_scores_gemma":[0.9990444,0.00009639756,0.00016622266,0.00048366957,0.000083102714,0.00012618254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044762806,0.00019124857,0.00032601375,0.00021566635,0.00028321767,0.00016313102,0.00026943954,0.000088740846,0.0000018437643],"category_scores_gemma":[0.0000011136298,0.00015557918,0.000041712003,0.000543948,0.000053789507,0.0003263703,0.000006485158,0.00016650428,0.000063280495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012070736,0.00198945,0.010254408,0.007147589,0.00038932986,0.00002467556,0.032694794,0.033252757,0.00035064702,0.1588554,0.003984423,0.75093585],"study_design_scores_gemma":[0.0008472762,0.0001552238,0.0073436787,0.00069295487,0.000038882823,0.00029095105,0.0004216874,0.031780567,0.0000936983,0.00010424102,0.95759445,0.00063639175],"about_ca_topic_score_codex":0.00069336535,"about_ca_topic_score_gemma":0.0005267112,"teacher_disagreement_score":0.961425,"about_ca_system_score_codex":0.000019193845,"about_ca_system_score_gemma":0.00002813877,"threshold_uncertainty_score":0.6344335},"labels":[],"label_agreement":null},{"id":"W2115919109","doi":"10.1109/tsmcc.2007.900670","title":"Toward Real-Time Distributed Intelligent Control: A Survey of Research Themes and Applications","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Real-time Control System; Distributed manufacturing; Control (management); Computer science; Key (lock); Scheduling (production processes); Intelligent control; Supply chain; Distributed computing; Process management; Systems engineering; Manufacturing engineering; Engineering; Operations management; Computer security; Artificial intelligence; Business","score_opus":0.051481716987064656,"score_gpt":0.308105615226717,"score_spread":0.2566238982396523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115919109","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023993177,0.013051029,0.9819478,0.00003536427,0.000066721565,0.0015405962,0.0002627249,0.00009930853,0.0005971813],"genre_scores_gemma":[0.91357225,0.08298509,0.0018953228,0.000012377214,0.00007548864,0.00090050563,0.000059934056,0.000037727146,0.00046127735],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986529,0.000118551136,0.00057989324,0.00026564358,0.00016643014,0.00021658663],"domain_scores_gemma":[0.9988747,0.00035072753,0.00007961709,0.00031506288,0.00020323573,0.00017663046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012957802,0.00016752932,0.00035757443,0.00016165686,0.00019511823,0.000061906336,0.00009648034,0.00011277246,0.0000112772],"category_scores_gemma":[0.000007197155,0.00014652724,0.00003944568,0.0004930404,0.00019067383,0.00003496448,0.0000025728236,0.00019182227,0.000021317373],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016860114,0.001482654,0.0018788278,0.005764333,0.0010706016,0.0000045808633,0.003730909,0.08060139,0.00383312,0.017985376,0.0028914185,0.8805882],"study_design_scores_gemma":[0.003961958,0.00066572544,0.011017438,0.0021813586,0.00080641865,0.00020681169,0.003022623,0.334797,0.0063050925,0.000579449,0.6339157,0.0025403944],"about_ca_topic_score_codex":0.00012207283,"about_ca_topic_score_gemma":0.00004021534,"teacher_disagreement_score":0.9800524,"about_ca_system_score_codex":0.000025881296,"about_ca_system_score_gemma":0.000013531008,"threshold_uncertainty_score":0.5975207},"labels":[],"label_agreement":null},{"id":"W2121931511","doi":"10.1109/tsmcc.2003.809360","title":"A decision support system for interactive decision making-part II: analysis and output interpretation","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Interpretation (philosophy); Decision support system; Management science; Operations research; Decision analysis; Engineering; Computer science; Mathematics; Artificial intelligence; Statistics","score_opus":0.04684681912570904,"score_gpt":0.3549809404086376,"score_spread":0.30813412128292855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121931511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02057722,0.0020865619,0.9729696,0.00007436499,0.00036204717,0.0023081147,0.00017610657,0.00005226041,0.0013937193],"genre_scores_gemma":[0.9889361,0.002184918,0.004221595,0.00008947924,0.00005124258,0.0021036551,0.000010908318,0.00002390243,0.0023781797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965848,0.00032967963,0.0014190377,0.0009651091,0.0004342898,0.0002671324],"domain_scores_gemma":[0.9961863,0.0018186312,0.0005641453,0.0008593121,0.00033266636,0.00023890611],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026273846,0.0003318868,0.0008140372,0.000581621,0.00094541284,0.0004270419,0.00026573,0.00016009204,0.00005243539],"category_scores_gemma":[0.000107775864,0.00025119574,0.00026381077,0.0011112486,0.00018525778,0.00021479746,0.00001107308,0.00018917932,0.00008568941],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020656927,0.00036084699,0.00019862328,0.00021567493,0.00035067185,9.963231e-7,0.0013752023,0.0015195855,0.00010317333,0.03985824,0.0021810455,0.9536294],"study_design_scores_gemma":[0.001041184,0.00041181067,0.00044908508,0.000849818,0.0015923892,0.00014104921,0.0027026467,0.020295633,0.000355104,0.008727289,0.9627363,0.00069766864],"about_ca_topic_score_codex":0.000007833157,"about_ca_topic_score_gemma":0.000059070273,"teacher_disagreement_score":0.96874803,"about_ca_system_score_codex":0.000055623983,"about_ca_system_score_gemma":0.00003262386,"threshold_uncertainty_score":0.99999404},"labels":[],"label_agreement":null},{"id":"W2122653760","doi":"10.1109/tsmcc.2004.826284","title":"Roles for agent assistants in field science: understanding personal projects and collaboration","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Traverse; Variety (cybernetics); Cognitive reframing; Field (mathematics); Computer science; Work (physics); Identity (music); Human–computer interaction; Knowledge management; Engineering; Psychology; Artificial intelligence","score_opus":0.05974344415421538,"score_gpt":0.3026806430822677,"score_spread":0.24293719892805232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122653760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017170835,0.0033457475,0.97651136,0.00053986016,0.0002241605,0.0020218403,0.000015036698,0.00002882871,0.00014232824],"genre_scores_gemma":[0.9930342,0.0045180465,0.00142103,0.00007181079,0.00003698385,0.00073070417,0.0000017095379,0.0000068051663,0.00017872537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988273,0.000043481614,0.00035823687,0.0004196919,0.0001749877,0.0001763269],"domain_scores_gemma":[0.99945146,0.000056911013,0.00013233123,0.00019486509,0.000062389736,0.00010204843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056065735,0.00013621738,0.00021608654,0.00018666005,0.00046580724,0.00031163936,0.000109137734,0.00006621422,9.259292e-7],"category_scores_gemma":[0.0000048506,0.00011579217,0.00002669175,0.00044365283,0.00008066845,0.00024247283,0.0000038418502,0.00007676564,0.0000029694588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088739456,0.0013350729,0.0013378226,0.00436473,0.0001357163,0.000005951861,0.031694688,0.002924319,0.011176161,0.6962295,0.00081063615,0.24989663],"study_design_scores_gemma":[0.022210406,0.0046049897,0.00920722,0.013058179,0.00069297606,0.00056040153,0.03504218,0.46641558,0.022329211,0.013671764,0.40592524,0.0062818574],"about_ca_topic_score_codex":0.000049444487,"about_ca_topic_score_gemma":0.00021376698,"teacher_disagreement_score":0.97586334,"about_ca_system_score_codex":0.000118758486,"about_ca_system_score_gemma":0.00007754888,"threshold_uncertainty_score":0.47218677},"labels":[],"label_agreement":null},{"id":"W2124189150","doi":"10.1109/5326.971659","title":"Deregulated electricity market data representation by fuzzy regression models","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; BC Hydro","keywords":"Fuzzy logic; Econometrics; Electricity market; Flexibility (engineering); Regression analysis; Computer science; Electricity; Fuzzy set; Mathematical optimization; Economics; Mathematics; Statistics; Artificial intelligence; Engineering","score_opus":0.03784609290652268,"score_gpt":0.2631781714748144,"score_spread":0.22533207856829174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124189150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012789007,0.06088815,0.9056012,0.00011401489,0.000381536,0.0014481217,0.00019496439,0.00034246585,0.01824054],"genre_scores_gemma":[0.8425986,0.15321694,0.00033585267,0.000036358528,0.00007718432,0.00031294106,0.000109656765,0.000038941875,0.0032735183],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880594,0.00007480619,0.00043108876,0.00036385463,0.0001250069,0.00019928942],"domain_scores_gemma":[0.9991143,0.000056334164,0.00008210212,0.0005865426,0.000031865893,0.00012887664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023308644,0.00020597271,0.00028330364,0.00007901269,0.00023230715,0.00008454089,0.00014837488,0.00011241311,0.000019587189],"category_scores_gemma":[0.0000016172119,0.00017406879,0.000036477333,0.00031210022,0.000042154912,0.00016937389,0.0000036680085,0.00016827902,0.000010458133],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048017977,0.00032573444,0.00013599303,0.0011222084,0.00026000896,0.000004938238,0.0003820974,0.066171736,0.004712906,0.0020266455,0.08903955,0.8357702],"study_design_scores_gemma":[0.00031420734,0.00003161551,0.000025217898,0.0004309547,0.00011229403,0.00008306859,0.00004793899,0.411488,0.0006255915,0.00016094075,0.58634007,0.0003400969],"about_ca_topic_score_codex":0.000046906614,"about_ca_topic_score_gemma":0.000023487157,"teacher_disagreement_score":0.90526533,"about_ca_system_score_codex":0.00002021978,"about_ca_system_score_gemma":0.0000061030773,"threshold_uncertainty_score":0.7098319},"labels":[],"label_agreement":null},{"id":"W2128178088","doi":"10.1109/tsmcc.2005.848193","title":"An Appearance Model Constructed on 3-D Surface for Robust Face Recognition Against Pose and Illumination Variations","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Face recognition and analysis","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University","keywords":"Artificial intelligence; Silhouette; Computer vision; Pose; Computer science; Face (sociological concept); Residual; Subspace topology; Active appearance model; Pattern recognition (psychology); Surface (topology); Image (mathematics); Object (grammar); Facial recognition system; Polygon mesh; A priori and a posteriori; Mathematics; Algorithm; Geometry; Computer graphics (images)","score_opus":0.034207741571340065,"score_gpt":0.2601863096235063,"score_spread":0.22597856805216623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128178088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006353033,0.0017065622,0.98924446,0.00065849576,0.00008035813,0.0013872965,0.00016467953,0.000096000505,0.00030908795],"genre_scores_gemma":[0.94501686,0.019080523,0.034060102,0.00039464928,0.00007558126,0.0007301324,0.000053212472,0.00002178132,0.00056715164],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985269,0.00011741067,0.0004668931,0.00055091374,0.000147845,0.00019004682],"domain_scores_gemma":[0.99900496,0.00007217502,0.0001922605,0.00037747892,0.0001665682,0.00018658396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000358248,0.00022036633,0.0003108418,0.00013987537,0.0005193504,0.000258921,0.00013880302,0.000119326316,0.000003881892],"category_scores_gemma":[0.00000424224,0.00020412651,0.00007123442,0.00030239366,0.00009644549,0.00031238332,0.0000027952449,0.00014282111,0.000027165557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011376419,0.0004460097,0.0000063881494,0.00025599304,0.00006281624,2.0555689e-7,0.00052811904,0.068407685,0.0009437046,0.009590691,0.00023567738,0.9195113],"study_design_scores_gemma":[0.00050886837,0.00009158634,0.00002296783,0.00021438592,0.000090320995,0.000014378424,0.00012539112,0.98272735,0.00034301454,0.00029960054,0.015261892,0.0003002617],"about_ca_topic_score_codex":0.000008557225,"about_ca_topic_score_gemma":0.000027177364,"teacher_disagreement_score":0.9551844,"about_ca_system_score_codex":0.000031566153,"about_ca_system_score_gemma":0.000024807094,"threshold_uncertainty_score":0.8324037},"labels":[],"label_agreement":null},{"id":"W2128566405","doi":"10.1109/tsmcc.2006.887007","title":"Distributed Simulation of Differential Algebraic Systems Using Optimal Sliding-Mode Control","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Algebraic number; Bandwidth (computing); Differential (mechanical device); Mathematical optimization; Constraint (computer-aided design); Optimal control; Time division multiple access; Control theory (sociology); Control (management); Mathematics; Engineering; Computer network; Artificial intelligence","score_opus":0.015052054522558459,"score_gpt":0.2591705130649274,"score_spread":0.24411845854236894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128566405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01367819,0.0071639414,0.97651386,0.000004581187,0.00036833214,0.0019266767,0.00016603706,0.00010948969,0.000068895344],"genre_scores_gemma":[0.9970671,0.0020265372,0.00038215224,0.0000044813273,0.00012452914,0.00026472588,0.000023524286,0.00004055339,0.0000664025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983015,0.00007455822,0.00092207605,0.00027932684,0.00017317897,0.00024934663],"domain_scores_gemma":[0.99905795,0.00014072483,0.00023787317,0.0003099382,0.00011079117,0.00014270298],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028778167,0.0002636234,0.00056701765,0.00014772189,0.00018266299,0.000067324516,0.00008297316,0.00015262258,0.0000039417905],"category_scores_gemma":[0.000003466218,0.00024562227,0.00008320359,0.00024335469,0.000055568213,0.00010978771,0.0000014763177,0.00014728164,0.0000047646754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014612012,0.000041348867,0.000019525176,0.00048067118,0.00007024879,3.4048702e-7,0.00006330604,0.99078864,0.0031609128,0.0007440163,0.000010160895,0.0046062316],"study_design_scores_gemma":[0.00071621535,0.000044537905,0.000042866075,0.00035805238,0.00018372212,0.000018773622,0.000087398395,0.9878279,0.00029233255,0.0000072181206,0.010167487,0.000253499],"about_ca_topic_score_codex":0.00003278999,"about_ca_topic_score_gemma":0.000009035435,"teacher_disagreement_score":0.9833889,"about_ca_system_score_codex":0.00007157806,"about_ca_system_score_gemma":0.000008579735,"threshold_uncertainty_score":0.9999996},"labels":[],"label_agreement":null},{"id":"W2130844701","doi":"10.1109/tsmcc.2003.818475","title":"An intelligent-agent architecture for flexible service integration on the web","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Interoperation; Web service; Workflow; World Wide Web; Service-oriented architecture; Software engineering; XML; Database; Interoperability","score_opus":0.029490526987217283,"score_gpt":0.26860701384696883,"score_spread":0.23911648685975156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130844701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002071094,0.0026922591,0.9898042,0.0017446018,0.00031316458,0.0021966225,0.000030497024,0.0001066059,0.0010409373],"genre_scores_gemma":[0.96955264,0.010847198,0.007349397,0.0062863436,0.00021409812,0.0046375953,0.00002456677,0.00005045304,0.0010377113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846196,0.00021924858,0.00040721172,0.00051686366,0.0001672393,0.00022748313],"domain_scores_gemma":[0.99859315,0.00018016729,0.0001445091,0.00081760937,0.00010792936,0.00015660713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004641013,0.000256238,0.0002605623,0.00011686983,0.000554436,0.00027145664,0.00040266584,0.00008921249,0.000009392923],"category_scores_gemma":[0.0000016436403,0.00016186947,0.00008121482,0.00046070703,0.000043069977,0.000094544426,0.0000036283577,0.00021815664,0.000037312977],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032404667,0.0006568515,0.0000105990475,0.0007739127,0.000112634676,6.246047e-7,0.0042848666,0.0064189853,0.0026252465,0.5481112,0.0009431758,0.4360295],"study_design_scores_gemma":[0.0002361048,0.00025302454,0.000010305757,0.00025325283,0.0000637172,0.000031472093,0.0004485273,0.016800452,0.003885361,0.0019112058,0.9758213,0.0002852445],"about_ca_topic_score_codex":0.00003668953,"about_ca_topic_score_gemma":0.00023217664,"teacher_disagreement_score":0.98245484,"about_ca_system_score_codex":0.000017902485,"about_ca_system_score_gemma":0.000030096326,"threshold_uncertainty_score":0.66008455},"labels":[],"label_agreement":null},{"id":"W2133118325","doi":"10.1109/tsmcc.2007.897499","title":"Neurofuzzy-Based Approach to Mobile Robot Navigation in Unknown Environments","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Fuzzy logic; Mobile robot; Trajectory; Artificial intelligence; Obstacle avoidance; Robot; Artificial neural network; State (computer science); Control engineering; Control theory (sociology); Control (management); Engineering; Algorithm","score_opus":0.02259140461650461,"score_gpt":0.2612784282424843,"score_spread":0.2386870236259797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133118325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013089173,0.0016635347,0.99414045,0.000057655587,0.00016956165,0.0020352474,0.0000069498287,0.000047047215,0.0005706586],"genre_scores_gemma":[0.9051428,0.0021485265,0.08598121,0.00039432436,0.00010109488,0.004509718,0.000019977026,0.000039198247,0.0016631846],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837273,0.000102841164,0.00052475405,0.00053974637,0.00020010717,0.00025982145],"domain_scores_gemma":[0.9990414,0.00007637417,0.000119028984,0.00053617894,0.000020190011,0.00020687308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006610413,0.00019958646,0.00028819317,0.00017604945,0.00018100778,0.000101946556,0.0002453288,0.00008864426,8.7547016e-7],"category_scores_gemma":[0.0000015189955,0.00018136801,0.000044331064,0.00046039306,0.000054624335,0.00008955817,0.000005039465,0.00018672689,0.000051162246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020637824,0.0016430893,0.00026367122,0.0006766677,0.0000408378,0.000011318297,0.001352463,0.39398125,0.0022757517,0.0073269755,0.00039947874,0.5920079],"study_design_scores_gemma":[0.001304413,0.00051160477,0.0019707533,0.00088370865,0.000082253224,0.00013207404,0.00017727952,0.31598973,0.0014212438,0.000103987426,0.6763421,0.0010807924],"about_ca_topic_score_codex":0.00002617755,"about_ca_topic_score_gemma":0.0000029867947,"teacher_disagreement_score":0.9081592,"about_ca_system_score_codex":0.000046708257,"about_ca_system_score_gemma":0.000015286381,"threshold_uncertainty_score":0.73959726},"labels":[],"label_agreement":null},{"id":"W2133172642","doi":"10.1109/tsmcc.2006.886967","title":"Review and Preview: Disocclusion by Inpainting for Image-Based Rendering","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Inpainting; Artificial intelligence; Computer vision; Rendering (computer graphics); Computer science; 3D reconstruction; View synthesis; Iterative reconstruction; Object (grammar); Image (mathematics); Image-based modeling and rendering; Texture synthesis; Computer graphics (images); Image texture; Image processing","score_opus":0.016720967249610502,"score_gpt":0.29388606303637954,"score_spread":0.27716509578676907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133172642","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018407241,0.21596093,0.7816769,0.0005480196,0.00006565726,0.00152222,0.000011197419,0.00005250171,0.0001441674],"genre_scores_gemma":[0.030643027,0.8813264,0.08168749,0.0033851743,0.000090249436,0.0016262115,0.000014547164,0.00005001632,0.0011768811],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852824,0.00006842434,0.0005840142,0.00048049062,0.00010497787,0.00023387649],"domain_scores_gemma":[0.99898255,0.00014847737,0.00021042473,0.0004124035,0.00007527025,0.0001708855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000983617,0.00020707522,0.00040543225,0.000072235656,0.00045161878,0.00013282418,0.00016439943,0.000049410544,0.000002839241],"category_scores_gemma":[0.000009184238,0.00016949483,0.000071730494,0.0002459339,0.0000791084,0.00017764542,0.000008653749,0.00013464397,0.0000058510223],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025012753,0.00007948288,0.0000068211375,0.0041878284,0.000012673236,3.2064395e-7,0.00006402146,0.0000111837635,0.0008695982,0.0012834526,0.003054431,0.9904277],"study_design_scores_gemma":[0.00029562617,0.000058240974,0.000010945245,0.0025849673,0.00008710968,0.00002802108,0.000023880937,0.011515385,0.0003770029,0.00007934219,0.9846767,0.00026276632],"about_ca_topic_score_codex":0.0000055220103,"about_ca_topic_score_gemma":0.0000033249084,"teacher_disagreement_score":0.99016494,"about_ca_system_score_codex":0.000020457503,"about_ca_system_score_gemma":0.000011664873,"threshold_uncertainty_score":0.6911799},"labels":[],"label_agreement":null},{"id":"W2148710623","doi":"10.1109/tsmcc.2007.893276","title":"Multiagent Coordination Techniques for Complex Environments: The Case of a Fleet of Combat Ships","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Context (archaeology); Task (project management); Coordination game; Redundancy (engineering); Command and control; Computer security; Risk analysis (engineering); Process management; Operations research; Systems engineering; Engineering; Business","score_opus":0.04891234676063081,"score_gpt":0.29708494654599826,"score_spread":0.24817259978536746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148710623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026295055,0.002089705,0.99239147,0.00012546495,0.000094116534,0.002501324,0.000042390468,0.00002049305,0.000105508254],"genre_scores_gemma":[0.9917437,0.0023839655,0.004859747,0.000037341048,0.00003197862,0.0006383046,0.0000056399786,0.000009182984,0.00029017986],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872875,0.000102068785,0.00067761296,0.00025329634,0.000111620735,0.00012662337],"domain_scores_gemma":[0.998875,0.00018180336,0.00038225652,0.00043367973,0.00006096783,0.00006626673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096609694,0.00013772052,0.00029002817,0.0000927137,0.00023818572,0.000035285397,0.00016232493,0.00006871695,0.0000027469753],"category_scores_gemma":[0.00000285891,0.000098275144,0.000079265745,0.00016584135,0.000101206635,0.00007523096,0.000004657194,0.00006794061,0.0000022459262],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032808457,0.0011069863,0.000119329125,0.0023113743,0.00018449748,0.0000042270094,0.0024475378,0.00045136985,0.025640884,0.08703849,0.0017034911,0.878959],"study_design_scores_gemma":[0.0015205439,0.0006237957,0.00093763066,0.0007823216,0.00029739394,0.00042648573,0.0009971062,0.102680564,0.029022746,0.00031943436,0.8617567,0.0006353081],"about_ca_topic_score_codex":0.000098341836,"about_ca_topic_score_gemma":0.00006212588,"teacher_disagreement_score":0.98911417,"about_ca_system_score_codex":0.000021595832,"about_ca_system_score_gemma":0.0000072725406,"threshold_uncertainty_score":0.40075442},"labels":[],"label_agreement":null},{"id":"W2149940869","doi":"10.1109/tsmcc.2003.813148","title":"Virtual assembly with biologically inspired intelligence","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Windsor","funders":"","keywords":"Computer science; Planner; Robot; Product (mathematics); Virtual reality; Assembly modelling; Human–computer interaction; Artificial intelligence; Manufacturing engineering; Engineering","score_opus":0.018623962940551082,"score_gpt":0.22407085296528328,"score_spread":0.2054468900247322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149940869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004865852,0.005435569,0.9862588,0.000018228844,0.000106517306,0.000711248,0.000011052448,0.00011495795,0.0024777977],"genre_scores_gemma":[0.9636111,0.034003146,0.0010704526,0.0000356799,0.00002285983,0.0005733092,0.0000040169552,0.000020369667,0.0006590493],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920076,0.00004034414,0.00030354405,0.00023397608,0.00007672202,0.00014464275],"domain_scores_gemma":[0.99957454,0.000032621225,0.000053140626,0.0002036521,0.000034008863,0.00010205619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014439777,0.00017948671,0.00023445631,0.000060104834,0.00016058575,0.00007841647,0.00006337013,0.00008509903,0.00001872151],"category_scores_gemma":[0.0000014015648,0.00012996442,0.00002838775,0.0001565497,0.000061771716,0.000052119416,6.961621e-7,0.00012525075,0.00002393312],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024492432,0.00033554714,0.00009866021,0.0015719342,0.00019037732,0.0000028072213,0.00055746414,0.44607735,0.00061842165,0.035753448,0.00043661264,0.5143329],"study_design_scores_gemma":[0.00041393132,0.0004112836,0.00012232913,0.00055654853,0.0001629209,0.00009394413,0.00026180598,0.028751597,0.005978385,0.00015064966,0.96225977,0.0008368497],"about_ca_topic_score_codex":0.0000047346193,"about_ca_topic_score_gemma":0.000008580893,"teacher_disagreement_score":0.9851883,"about_ca_system_score_codex":0.0000137698835,"about_ca_system_score_gemma":0.000007672783,"threshold_uncertainty_score":0.5299795},"labels":[],"label_agreement":null},{"id":"W2161182372","doi":"10.1109/tsmcc.2005.855525","title":"Active-vision-based multisensor surveillance - an implementation","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Toronto; University of British Columbia","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence; Feature (linguistics); Orientation (vector space); Trajectory; Position (finance); Object (grammar); Sensor fusion; Process (computing); Overhead (engineering); Tracking system; Real-time computing; Kalman filter; Mathematics","score_opus":0.01258488461875953,"score_gpt":0.2593927330014686,"score_spread":0.24680784838270906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161182372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027503783,0.003143511,0.9665022,0.00008035546,0.00025195297,0.0016406681,0.00017077166,0.00019282155,0.00051397627],"genre_scores_gemma":[0.99422485,0.0042286674,0.00064753304,0.000038578986,0.000095252544,0.00042422005,0.000097939075,0.00003696938,0.00020597655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888444,0.00008344475,0.000446313,0.00028224415,0.00012545813,0.00017811544],"domain_scores_gemma":[0.9994176,0.00004970624,0.00007897296,0.00028710449,0.000059121943,0.000107519656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015249205,0.00020433344,0.00026307357,0.00009923723,0.00022817904,0.000104432904,0.000057902173,0.00008500152,0.0000224359],"category_scores_gemma":[5.3875345e-7,0.0001882402,0.000049235783,0.0001825578,0.000055838595,0.00007785867,6.0915335e-7,0.000101860845,0.000021440888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020220716,0.00037085527,0.0003954702,0.00087194116,0.000059130216,0.0000017927148,0.00013202442,0.70296365,0.0050260304,0.0032151854,0.0018808406,0.28506285],"study_design_scores_gemma":[0.0012957526,0.00019789778,0.0033277054,0.00020830042,0.00011740452,0.000017356935,0.00019602796,0.6029974,0.0034118856,0.00007571874,0.38737625,0.0007782866],"about_ca_topic_score_codex":0.00012674698,"about_ca_topic_score_gemma":0.00025882953,"teacher_disagreement_score":0.96672106,"about_ca_system_score_codex":0.000035658086,"about_ca_system_score_gemma":0.000009495843,"threshold_uncertainty_score":0.7676213},"labels":[],"label_agreement":null},{"id":"W2161358529","doi":"10.1109/tsmcc.2004.843224","title":"iShopFloor : An Internet-Enabled Agent-Based Intelligent Shop Floor","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Distributed manufacturing; Architecture; The Internet; Intelligent agent; Scheduling (production processes); Job shop; Multi-agent system; Markup language; Software engineering; Distributed computing; Manufacturing engineering; World Wide Web; Job shop scheduling; XML; Engineering; Flow shop scheduling; Embedded system; Artificial intelligence","score_opus":0.02305979237163171,"score_gpt":0.2490010170002898,"score_spread":0.22594122462865807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161358529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044969264,0.010646202,0.982331,0.00012814747,0.00035704774,0.0010163466,0.000030934196,0.0002670699,0.0007263591],"genre_scores_gemma":[0.9486717,0.02440194,0.018768722,0.00034856674,0.00041410062,0.0018350156,0.00005088218,0.000105730585,0.005403349],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998699,0.00006488996,0.0005437457,0.00033985512,0.00013062595,0.00022189436],"domain_scores_gemma":[0.9992053,0.00002974078,0.00006745094,0.0003882947,0.000061043305,0.0002481694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024482096,0.00026013667,0.00033001206,0.00013656473,0.00015884289,0.00015569614,0.00012966731,0.00012081764,0.00010914987],"category_scores_gemma":[0.000001634092,0.00023281871,0.00007676376,0.00022104797,0.00006401952,0.00009537345,0.0000015458717,0.00020219394,0.00019066139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001234163,0.00033622616,0.000013073106,0.00056253775,0.00009808343,0.0000011288383,0.0004717101,0.38472196,0.00016977577,0.0005269828,0.0011066463,0.61197954],"study_design_scores_gemma":[0.0003117732,0.000056482593,0.000007661774,0.0001793883,0.000091504306,0.000015052819,0.00013527404,0.6362661,0.0014015313,0.000005014065,0.3612292,0.0003009654],"about_ca_topic_score_codex":0.00001607803,"about_ca_topic_score_gemma":0.000034214132,"teacher_disagreement_score":0.96356225,"about_ca_system_score_codex":0.00004666138,"about_ca_system_score_gemma":0.000013536967,"threshold_uncertainty_score":0.9494071},"labels":[],"label_agreement":null},{"id":"W2166674691","doi":"10.1109/tsmcc.2007.900651","title":"Optimal Advertising Campaign Generation for Multiple Brands Using MOGA","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greedy algorithm; Mathematical optimization; Heuristic; Genetic algorithm; Computer science; Variety (cybernetics); Encoding (memory); Pareto optimal; Set (abstract data type); Pareto principle; Optimization problem; Multi-objective optimization; Key (lock); Mathematics; Artificial intelligence","score_opus":0.03964088752379955,"score_gpt":0.29618822251481386,"score_spread":0.2565473349910143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166674691","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014820013,0.0029704887,0.99319726,0.000035747806,0.00031676303,0.0018219675,0.000023202592,0.000076228156,0.000076315104],"genre_scores_gemma":[0.4895667,0.0057685636,0.50225973,0.00016799566,0.0003044168,0.00089723116,0.000016939677,0.000046172507,0.00097225513],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850714,0.00006065236,0.0005311278,0.000510823,0.00013911353,0.00025117074],"domain_scores_gemma":[0.99897367,0.00012769479,0.00019458831,0.0003871888,0.0001577509,0.00015912483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000505291,0.00021205208,0.00029377674,0.00014429125,0.00059028744,0.00015945591,0.0001464556,0.00009705738,0.000002454445],"category_scores_gemma":[0.0000064498067,0.00019585981,0.00007566232,0.00031298533,0.000071270675,0.00025200433,0.000004506417,0.000112001006,0.00000538085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003829784,0.0004906736,0.0000776511,0.0004680369,0.00011386228,0.0000026183975,0.0013883772,0.37767318,0.012976073,0.007624625,0.000247323,0.5988993],"study_design_scores_gemma":[0.00073671056,0.00007457729,0.000028913564,0.00010752371,0.000050448005,0.000055450568,0.00008412928,0.9379947,0.0023877285,0.000024807643,0.058150053,0.0003049426],"about_ca_topic_score_codex":0.000016907166,"about_ca_topic_score_gemma":0.000022301852,"teacher_disagreement_score":0.59859437,"about_ca_system_score_codex":0.00006212857,"about_ca_system_score_gemma":0.000024100102,"threshold_uncertainty_score":0.7986931},"labels":[],"label_agreement":null},{"id":"W2304300407","doi":"10.1109/tsmcc.2010.2049994","title":"Hierarchical Fault Diagnosis and Health Monitoring in Satellites Formation Flight","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unavailability; Computer science; Fault (geology); Fault detection and isolation; Domain knowledge; Component (thermodynamics); Real-time computing; Telemetry; Reliability engineering; Data mining; Artificial intelligence; Engineering","score_opus":0.021714163947939215,"score_gpt":0.26678479241134656,"score_spread":0.24507062846340735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304300407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5526409,0.17364503,0.252175,0.0021398051,0.004138487,0.010974863,0.00016438993,0.00089255424,0.0032289363],"genre_scores_gemma":[0.9235737,0.07428617,0.00016753326,0.000028464834,0.00011344683,0.0016386199,0.00000279038,0.000018955821,0.00017036541],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988881,0.000070794806,0.00052954815,0.00022303424,0.00009879019,0.00018975692],"domain_scores_gemma":[0.9994706,0.000063859196,0.00006684046,0.00020886087,0.000019781528,0.00017004187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038701878,0.00017923632,0.0003303425,0.00014321269,0.00021665618,0.000109828135,0.00005419113,0.00011085427,0.000005017271],"category_scores_gemma":[0.0000017749063,0.00015693896,0.000039119535,0.00018144409,0.000051746818,0.00009945737,0.0000013270954,0.00036272052,0.00001746453],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000797124,0.00014192046,0.0011526407,0.0019583867,0.00004899569,0.0000010737288,0.0012623266,0.0015312199,0.0034880042,0.0019020962,0.00035955923,0.9881458],"study_design_scores_gemma":[0.0008155136,0.000112911934,0.0022454136,0.0008014851,0.000046605684,0.000112674716,0.00039679732,0.040605552,0.0018946616,0.000084670406,0.9523837,0.0005000054],"about_ca_topic_score_codex":0.00006326772,"about_ca_topic_score_gemma":0.00017487412,"teacher_disagreement_score":0.9876458,"about_ca_system_score_codex":0.000027834018,"about_ca_system_score_gemma":0.000006504635,"threshold_uncertainty_score":0.6399785},"labels":[],"label_agreement":null},{"id":"W2305540842","doi":"10.1109/tsmcc.2006.871126","title":"A layered reference model of the brain (LRMB)","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":356,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subconscious; Cognition; Cognitive science; Set (abstract data type); Perception; Psychology; Variety (cybernetics); Cognitive psychology; Cognitive model; Computer science; Metacognition; Artificial intelligence; Neuroscience","score_opus":0.03321764109395486,"score_gpt":0.24830725401247353,"score_spread":0.21508961291851866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305540842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023615093,0.004618913,0.98966604,0.00033653356,0.00010396308,0.0006645379,0.000017425322,0.000039653358,0.0021914234],"genre_scores_gemma":[0.9935804,0.0025577233,0.00083890423,0.000132165,0.000043414177,0.0002211928,0.0000012071871,0.000007770402,0.002617246],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998926,0.00011191589,0.0003813659,0.00031145374,0.00012653026,0.00014274314],"domain_scores_gemma":[0.999113,0.000102241196,0.00016287321,0.0004878228,0.000078369485,0.000055648998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028009756,0.00013810913,0.00023278983,0.00004667423,0.0002612852,0.00007391187,0.00026071398,0.00006423966,0.0000014747156],"category_scores_gemma":[0.0000016242712,0.00009614945,0.00006644886,0.00026990598,0.000098681565,0.00004420114,0.0000088179595,0.00014835373,0.0000075968414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001424594,0.0007475392,0.00015524184,0.00080278836,0.00008701849,8.055756e-7,0.00062280224,0.053031836,0.0034783946,0.30596805,0.011816784,0.6232745],"study_design_scores_gemma":[0.0006610521,0.00010962517,0.00047004363,0.0010167802,0.0000976259,0.00005197285,0.0000404181,0.68505526,0.0013196773,0.0036078778,0.30702332,0.00054635364],"about_ca_topic_score_codex":0.000041141135,"about_ca_topic_score_gemma":0.000033621738,"teacher_disagreement_score":0.99121886,"about_ca_system_score_codex":0.0000099976305,"about_ca_system_score_gemma":0.000023459334,"threshold_uncertainty_score":0.3920861},"labels":[],"label_agreement":null},{"id":"W2306172304","doi":"10.1109/tsmcc.2010.2052041","title":"Optimizing Operator&amp;#x2013;Agent Interaction in Intelligent Adaptive Interface Design: A Conceptual Framework","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University; Defence Research and Development Canada","funders":"","keywords":"Interface (matter); Workload; Sociotechnical system; Computer science; Conceptual design; Systems engineering; User interface; Operator (biology); Control (management); Intelligent agent; Conceptual framework; Human–computer interaction; Knowledge management; Engineering; Artificial intelligence","score_opus":0.08370662716168095,"score_gpt":0.3698764251082972,"score_spread":0.28616979794661623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306172304","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008849932,0.0032893831,0.9811988,0.00019735568,0.0020799586,0.0020050097,0.000027192522,0.000088413515,0.002263939],"genre_scores_gemma":[0.9836686,0.004512288,0.004827323,0.00022777845,0.00017169585,0.0023730423,0.000007151665,0.00003851656,0.0041735885],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977709,0.00036406342,0.0008921115,0.00056376297,0.00014493061,0.00026424084],"domain_scores_gemma":[0.9986475,0.00028363906,0.000253615,0.0005077767,0.0001032879,0.00020419035],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005402679,0.00030576813,0.000446367,0.00023179928,0.00027879173,0.00014553283,0.00015425465,0.0002496995,0.001188705],"category_scores_gemma":[0.000009905472,0.00027225312,0.0000975193,0.00025648077,0.00019709708,0.00013580409,0.0000053442427,0.00086401147,0.0007659269],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009238349,0.0046693706,0.00025000816,0.00064787973,0.0009794632,0.000012861135,0.08634903,0.020202812,0.009719433,0.21865514,0.0129135465,0.6446766],"study_design_scores_gemma":[0.0005070789,0.00019305162,0.00011161551,0.0005471279,0.00008285162,0.00011396565,0.0052576573,0.0031827479,0.0004460232,0.000107695836,0.98898095,0.00046922042],"about_ca_topic_score_codex":0.00009982718,"about_ca_topic_score_gemma":0.00018767721,"teacher_disagreement_score":0.97637147,"about_ca_system_score_codex":0.0000674907,"about_ca_system_score_gemma":0.000022825365,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W2307344796","doi":"10.1109/tsmcc.2006.875423","title":"Understanding representational sensitivity in the iterated prisoner's dilemma with fingerprints","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Prisoner's dilemma; Computer science; Representation (politics); Artificial intelligence; Markov chain; Theoretical computer science; Dilemma; Iterated function; Machine learning; Finite-state machine; Algorithm; Mathematics","score_opus":0.06409947645518549,"score_gpt":0.28845355672436396,"score_spread":0.22435408026917847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307344796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14119293,0.0029081833,0.82907814,0.0027573442,0.00019529491,0.0039126994,0.00005183666,0.00009293799,0.019810658],"genre_scores_gemma":[0.9961688,0.0020301626,0.000084398765,0.000071956136,0.00009341773,0.00038892077,0.000010215951,0.0000061466976,0.0011459871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870765,0.00048563056,0.00025880098,0.0002282449,0.00018141892,0.00013824669],"domain_scores_gemma":[0.9994936,0.00017219558,0.000084217376,0.00015911282,0.000048736427,0.00004211523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095612137,0.000104142426,0.00014664122,0.00006126351,0.0007694168,0.00014739718,0.00005450685,0.000057914083,0.0000140687525],"category_scores_gemma":[0.0000028197794,0.00007397445,0.00002521522,0.00032155088,0.0002271988,0.00011532611,9.585988e-7,0.00012979347,0.000011378294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056298766,0.00048450366,0.0029890512,0.00013206292,0.000035699373,0.000007724691,0.0047493703,0.008393584,0.00020378802,0.9750786,0.000949281,0.006920033],"study_design_scores_gemma":[0.0020658819,0.00030146475,0.019104492,0.0012907597,0.00032335322,0.00026120082,0.015992079,0.010123725,0.0001462683,0.013744095,0.9352939,0.0013527393],"about_ca_topic_score_codex":0.00062253786,"about_ca_topic_score_gemma":0.0031710535,"teacher_disagreement_score":0.9613345,"about_ca_system_score_codex":0.000054861423,"about_ca_system_score_gemma":0.00003364575,"threshold_uncertainty_score":0.59178096},"labels":[],"label_agreement":null},{"id":"W2309390906","doi":"10.1109/tsmcc.2006.871120","title":"Editorial Recent Advances in Cognitive Informatics","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Calgary","funders":"","keywords":"Informatics; Cognition; Computer science; Cognitive science; Data science; Psychology; Political science; Neuroscience","score_opus":0.015501918060986481,"score_gpt":0.26444893648031514,"score_spread":0.24894701841932868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309390906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041055455,0.028511252,0.962617,0.000073836396,0.004482514,0.00091995246,0.000013203256,0.000061397935,0.0029103227],"genre_scores_gemma":[0.5687045,0.4162874,0.002553674,0.00028582138,0.009182707,0.0017105364,0.000022414108,0.000031203857,0.0012217375],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987791,0.000086257736,0.000529442,0.00025806561,0.00015441429,0.00019272743],"domain_scores_gemma":[0.9992875,0.00015325529,0.00015664194,0.00021158818,0.000113168215,0.00007789007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003516279,0.00016604853,0.0002651298,0.00010520493,0.00020547186,0.00014723642,0.00013557154,0.00008355224,0.0000027049755],"category_scores_gemma":[0.000002792819,0.000142867,0.000039366954,0.00037061,0.0000729247,0.0001698452,0.0000055970268,0.00020116236,0.000022868444],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007788932,0.00019100153,0.000052497675,0.00015515121,0.000010230467,5.43391e-7,0.0002383215,0.0009037698,0.000005676794,0.0040734885,0.0054027806,0.9889588],"study_design_scores_gemma":[0.00040384487,0.00006301841,0.000061282175,0.00041895494,0.000021807242,0.0000133126305,0.00007043325,0.010106785,0.000030385796,0.00033326805,0.98827165,0.0002052558],"about_ca_topic_score_codex":0.000016991002,"about_ca_topic_score_gemma":0.000045837234,"teacher_disagreement_score":0.9887535,"about_ca_system_score_codex":0.000020814876,"about_ca_system_score_gemma":0.000020277226,"threshold_uncertainty_score":0.5825947},"labels":[],"label_agreement":null},{"id":"W2312015575","doi":"10.1109/tsmcc.2006.871151","title":"Cognitive informatics models of the brain","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":238,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cognitive science; Cognition; Computer science; Cognitive psychology; LIDA; Cognitive neuropsychology; Psychology; Cognitive model; Neuroscience; Neuropsychology","score_opus":0.022378130484133903,"score_gpt":0.24482990780512032,"score_spread":0.22245177732098642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312015575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025141186,0.0045623304,0.9889148,0.00017638471,0.00013819757,0.00081389106,0.00001785919,0.000033992077,0.002828447],"genre_scores_gemma":[0.9945175,0.0031916143,0.00072993233,0.00018407381,0.000053309526,0.00021300482,0.000001870896,0.0000074557784,0.0011012506],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896955,0.00010080547,0.0004761218,0.0001830548,0.00013386582,0.0001365973],"domain_scores_gemma":[0.9991326,0.0001798607,0.0002107519,0.00031876384,0.0001050566,0.000053007716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002993284,0.00013653368,0.00023080823,0.000054615994,0.00026344508,0.00008438744,0.00019645976,0.000058683327,0.0000013944599],"category_scores_gemma":[0.0000018068768,0.00009508142,0.00007352195,0.00030641665,0.00012265422,0.000086594,0.000008777562,0.00013918646,0.000006539889],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009256684,0.00045920254,0.00009686479,0.00077205175,0.0000910849,5.413703e-7,0.0014590544,0.012883052,0.000097461976,0.121994436,0.004870244,0.8572667],"study_design_scores_gemma":[0.0013127832,0.00021375492,0.0007734899,0.0027028897,0.00024449837,0.00013382506,0.00039010806,0.6478079,0.0009856402,0.006144998,0.33846486,0.0008252582],"about_ca_topic_score_codex":0.000034705907,"about_ca_topic_score_gemma":0.000017266491,"teacher_disagreement_score":0.9920034,"about_ca_system_score_codex":0.00000854893,"about_ca_system_score_gemma":0.000017967066,"threshold_uncertainty_score":0.38773078},"labels":[],"label_agreement":null},{"id":"W4241638056","doi":"10.1109/tsmcc.2003.809363","title":"Guest editorial","year":2003,"lang":"en","type":"editorial","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; European Commission","keywords":"Computer science","score_opus":0.018733835780624788,"score_gpt":0.26339474238066823,"score_spread":0.24466090660004344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241638056","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012937288,0.008919795,0.021862786,0.00001275921,0.96467876,0.0014682767,0.00025344413,0.0001978855,0.0025933278],"genre_scores_gemma":[0.00022809283,0.10553093,0.000050576386,0.000016896847,0.88194764,0.001792109,0.00013547896,0.00009557542,0.01020271],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978194,0.00015584841,0.00077414385,0.00050062774,0.00048066207,0.00026931538],"domain_scores_gemma":[0.9988015,0.00013377852,0.00015915927,0.000525166,0.00015260777,0.00022778634],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054797716,0.00046998993,0.00065712957,0.00017154923,0.00032265828,0.00021670225,0.00014108309,0.00079659285,0.00030837953],"category_scores_gemma":[0.00000847154,0.00044303638,0.00012906926,0.00016788689,0.00011288583,0.000078506564,0.0000016401095,0.00077051565,0.0016189098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026460064,0.00004061609,1.547527e-7,0.0006580656,0.000045641023,2.121093e-7,0.00007005858,0.0004583161,0.000034456672,0.000014376509,0.99446446,0.004210986],"study_design_scores_gemma":[0.00031883628,0.00005099057,9.0429967e-7,0.00035051155,0.00021342764,0.0000043786517,0.000031538108,0.0003957723,0.000011934541,0.000011657792,0.9981681,0.00044196198],"about_ca_topic_score_codex":0.0000045988686,"about_ca_topic_score_gemma":0.000026923735,"teacher_disagreement_score":0.096611135,"about_ca_system_score_codex":0.00010596605,"about_ca_system_score_gemma":0.000044270568,"threshold_uncertainty_score":0.9998021},"labels":[],"label_agreement":null}]}