{"meta":{"query_hash":"20dc0b6dce09","filters":{"venue":"Automatica"},"cohort_total":243,"direct_labels_cover":0,"predictions_cover":243,"exported":243,"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/20dc0b6dce09","api":"https://metacan.xera.ac/api/v1/cohort?venue=Automatica"},"results":[{"id":"W1964729920","doi":"10.1016/j.automatica.2007.01.015","title":"LMI-based sensor fault diagnosis for nonlinear Lipschitz systems","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":142,"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 Alberta","funders":"","keywords":"Lipschitz continuity; Control theory (sociology); Observer (physics); Nonlinear system; Residual; Convex optimization; Fault detection and isolation; Fault (geology); Regular polygon; Software; Constant (computer programming); Mathematics; Mathematical optimization; Computer science; Algorithm; Control (management); Artificial intelligence","score_opus":0.009932264919021628,"score_gpt":0.23753692605411997,"score_spread":0.22760466113509834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964729920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011874354,0.0004250934,0.98120004,0.00029131022,0.000114666625,0.00006296386,0.000107536216,0.0023332227,0.003590807],"genre_scores_gemma":[0.8804742,0.0003024787,0.114919,0.00022906817,0.00007444617,0.00018454551,0.00029002668,0.00012434638,0.0034018767],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995802,0.00009853,0.000035528992,0.000079628735,0.00015635918,0.0000497361],"domain_scores_gemma":[0.99895966,0.00056215405,0.000121312245,0.00010159321,0.00023580166,0.000019478737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073879387,0.0008422345,0.0009899008,0.0006378882,0.00046209036,0.00074864586,0.0007104926,0.0009090677,0.0036943953],"category_scores_gemma":[0.0027812556,0.00034159012,0.0003635057,0.00032292193,0.00054682064,0.00083973154,0.0006257008,0.0012747226,0.00075911224],"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":[0.0009376735,0.00017041448,0.0011163037,0.0008839583,0.00013985632,0.00036017154,0.00033255096,0.4468862,0.038656212,0.01766297,0.008215941,0.48463774],"study_design_scores_gemma":[0.00003222652,0.00008129036,0.00037062357,0.000024479801,0.000016376447,0.000047978196,0.000014866382,0.9859606,0.008229096,0.004164701,0.001044858,0.000012866309],"about_ca_topic_score_codex":0.0031475304,"about_ca_topic_score_gemma":0.004146738,"teacher_disagreement_score":0.0036943953,"about_ca_system_score_codex":0.0008601668,"about_ca_system_score_gemma":0.00079519476,"threshold_uncertainty_score":0.0123589635},"labels":[],"label_agreement":null},{"id":"W1964922145","doi":"10.1016/s0005-1098(02)00076-6","title":"Stabilization with control networks","year":2002,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":104,"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 Toronto","funders":"","keywords":"Simple (philosophy); Measure (data warehouse); Class (philosophy); Control theory (sociology); Control (management); Computer science; Transmission (telecommunications); Networked control system; Control engineering; Engineering; Artificial intelligence; Telecommunications","score_opus":0.008462744270786882,"score_gpt":0.17499610803684193,"score_spread":0.16653336376605504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964922145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012625029,0.0029194758,0.93423593,0.00094283046,0.00047226186,0.000057343736,0.000079672915,0.00032977335,0.048337758],"genre_scores_gemma":[0.85677713,0.0039197914,0.07852279,0.00040565815,0.000529322,0.00028185136,0.00023425784,0.000099113466,0.059230052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99965155,0.00010134403,0.000012046688,0.000105499676,0.000100812984,0.000028776918],"domain_scores_gemma":[0.9997657,0.00008582469,0.000036422312,0.000038758997,0.000059468246,0.000013776508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037484852,0.00081726006,0.00048249637,0.0006354619,0.0005194274,0.0011481893,0.0005343548,0.0008195341,0.0060910434],"category_scores_gemma":[0.001267119,0.00023688967,0.00029212996,0.0005792254,0.00089315453,0.0012136671,0.0013101695,0.0008801344,0.0008544942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016375793,0.000044875236,0.00026210255,0.000194179,0.000047494254,0.00008811553,0.00008229108,0.3119959,0.007039492,0.51443344,0.006235853,0.15941255],"study_design_scores_gemma":[0.000027138829,0.0000602362,0.00017045494,0.00003645912,0.000021651536,0.000052637548,0.000026309577,0.6301117,0.002809946,0.34849665,0.018172178,0.000014633239],"about_ca_topic_score_codex":0.0012460016,"about_ca_topic_score_gemma":0.0007993459,"teacher_disagreement_score":0.0060910434,"about_ca_system_score_codex":0.00062412873,"about_ca_system_score_gemma":0.00033962948,"threshold_uncertainty_score":0.020376503},"labels":[],"label_agreement":null},{"id":"W1972827511","doi":"10.1016/j.automatica.2009.04.020","title":"Fault Detection and Isolation of discrete-time Markovian jump linear systems with application to a network of multi-agent systems having imperfect communication channels","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unobservable; Imperfect; Fault detection and isolation; Discrete time and continuous time; Subspace topology; Computer science; Network packet; Control theory (sociology); Jump; Fault (geology); Noise (video); Mathematics; Artificial intelligence; Computer network","score_opus":0.004824574526625434,"score_gpt":0.21452245292156896,"score_spread":0.20969787839494353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972827511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09662215,0.00050759665,0.90075326,0.0003242196,0.00008456193,0.00004113284,0.00001878336,0.00041636438,0.0012319863],"genre_scores_gemma":[0.9772882,0.00016689644,0.021773068,0.000031782653,0.000032288204,0.00002777684,0.00001817348,0.000011656778,0.00065022585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955016,0.00009884231,0.00002800671,0.000092117465,0.00013550802,0.0000954122],"domain_scores_gemma":[0.9924077,0.006173969,0.00053132995,0.00019019392,0.0005210412,0.00017578794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011060839,0.00077060406,0.0011708082,0.0007688796,0.00051307835,0.000821762,0.00079312536,0.00122516,0.0009949588],"category_scores_gemma":[0.0073339064,0.00038030668,0.0004853739,0.00044118438,0.0010690708,0.0008846384,0.0008914647,0.0009940417,0.00007491627],"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":[0.00049103214,0.00011980226,0.0015381714,0.0002294213,0.000064085245,0.00035793375,0.00023039411,0.91387355,0.007902472,0.012928422,0.00031867516,0.061945982],"study_design_scores_gemma":[0.000009061593,0.000028383383,0.00015516997,0.0000027232395,0.00000692147,0.000016374957,0.0000062263975,0.99747974,0.0008312314,0.0014249331,0.000036051973,0.0000031999746],"about_ca_topic_score_codex":0.0041290456,"about_ca_topic_score_gemma":0.0025474266,"teacher_disagreement_score":0.0041290456,"about_ca_system_score_codex":0.0006196482,"about_ca_system_score_gemma":0.0009998388,"threshold_uncertainty_score":0.008210063},"labels":[],"label_agreement":null},{"id":"W1973140758","doi":"10.1016/s0005-1098(01)00225-4","title":"A decomposition approach for the solution of the unit loading problem in hydroplants","year":2002,"lang":"en","type":"article","venue":"Automatica","topic":"Electric Power System Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Decomposition; Mathematical optimization; Unit (ring theory); Decomposition method (queueing theory); Computer science; Dynamic programming; Mathematics","score_opus":0.015391325571477476,"score_gpt":0.21347009335455436,"score_spread":0.19807876778307687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973140758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030723945,0.00019971699,0.99455404,0.00010532298,0.000041046012,0.000023967968,0.000046042183,0.00005148107,0.0019060846],"genre_scores_gemma":[0.12782423,0.0008282554,0.86626977,0.00013393446,0.00009637714,0.00029869162,0.00024133713,0.00019710818,0.0041102483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969304,0.00014059662,0.000013577713,0.000029924759,0.00007981496,0.000043081214],"domain_scores_gemma":[0.9995092,0.0003092293,0.00002897151,0.000031709715,0.00008776575,0.000033108125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084809976,0.0010149847,0.00096911605,0.00066752534,0.0004990251,0.00087823195,0.00089425256,0.0011172242,0.00386705],"category_scores_gemma":[0.00192191,0.0006075317,0.0012896347,0.00086254824,0.00061048643,0.00085124874,0.0011851444,0.0017079869,0.0008325712],"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":[0.00006570054,0.000085493506,0.00021449223,0.00019028349,0.000052642656,0.00009630342,0.0000718921,0.860903,0.003227721,0.053150717,0.004116726,0.07782496],"study_design_scores_gemma":[0.000012520202,0.000014869924,0.00004143716,0.000015280704,0.0000066649836,0.000012895677,0.000013566543,0.979334,0.000263674,0.01909536,0.0011845205,0.000005094994],"about_ca_topic_score_codex":0.0039272457,"about_ca_topic_score_gemma":0.004538983,"teacher_disagreement_score":0.0039272457,"about_ca_system_score_codex":0.0004409323,"about_ca_system_score_gemma":0.00108326,"threshold_uncertainty_score":0.012936592},"labels":[],"label_agreement":null},{"id":"W1975383903","doi":"10.1016/j.automatica.2013.04.042","title":"On finite-horizon <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si6.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-induced norms of discrete-time switched linear systems","year":2013,"lang":"lv","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Norm (philosophy); Monotonic function; Mathematics; Horizon; Exponential function; Finite volume method; Algorithm; Law; Applied mathematics; Computer science; Discrete mathematics; Mathematical analysis; Geometry; Physics","score_opus":0.013719688446688617,"score_gpt":0.22636957403651264,"score_spread":0.21264988558982403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975383903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033975452,0.0010647546,0.9219119,0.0006851808,0.00017586193,0.00006673745,0.00051363645,0.00018365326,0.041422796],"genre_scores_gemma":[0.907056,0.0011821216,0.057944708,0.00021262387,0.00016013502,0.00022528063,0.0008292356,0.00018312759,0.032206815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990858,0.00026068834,0.00003665888,0.00016628584,0.00032234794,0.00012815282],"domain_scores_gemma":[0.9966577,0.002061713,0.00031926608,0.00016163655,0.00054416974,0.00025552514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484743,0.0011000135,0.00086483604,0.0005177633,0.0004986863,0.0014318929,0.0010295586,0.00062240165,0.009844519],"category_scores_gemma":[0.0050224653,0.00029981838,0.0007378303,0.00034155638,0.0014598103,0.0012458996,0.0014348774,0.0019430261,0.0006029886],"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":[0.0002484957,0.000062112726,0.0006227225,0.00033165305,0.00006053552,0.00019711824,0.00024190458,0.4937987,0.0029602314,0.4730721,0.0041009947,0.024303371],"study_design_scores_gemma":[0.000017788718,0.000059958704,0.00020461698,0.000031831467,0.000009643789,0.000024864034,0.00003521971,0.85477924,0.0005733532,0.1425467,0.0017018104,0.000014964482],"about_ca_topic_score_codex":0.008016718,"about_ca_topic_score_gemma":0.007959784,"teacher_disagreement_score":0.009844519,"about_ca_system_score_codex":0.0024127902,"about_ca_system_score_gemma":0.0018325591,"threshold_uncertainty_score":0.032933176},"labels":[],"label_agreement":null},{"id":"W1977377218","doi":"10.1016/j.automatica.2013.08.017","title":"Discrete time mean-field stochastic linear-quadratic optimal control problems","year":2013,"lang":"en","type":"article","venue":"Automatica","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":194,"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 Calgary","funders":"","keywords":"Mathematics; Algebraic Riccati equation; Optimal control; Linear-quadratic-Gaussian control; Linear-quadratic regulator; Stochastic control; Riccati equation; Operator (biology); Applied mathematics; Discrete time and continuous time; Linear system; Mathematical optimization; Mathematical analysis; Differential equation","score_opus":0.011081478904974748,"score_gpt":0.20851004260400205,"score_spread":0.1974285636990273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977377218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029992027,0.0017165645,0.9507526,0.0035387625,0.00044349168,0.00010100362,0.00041749852,0.00018405697,0.012853949],"genre_scores_gemma":[0.8971873,0.0016684337,0.058440614,0.00076198386,0.0005531425,0.00043053032,0.000657491,0.00016714429,0.04013338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980476,0.00085217645,0.00008296053,0.00048250798,0.0003466168,0.00018817365],"domain_scores_gemma":[0.99325573,0.0047731814,0.00062823447,0.00014001605,0.0008073959,0.00039537603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003832225,0.0019260516,0.0031990937,0.0015006191,0.0008133597,0.0038173923,0.0020088665,0.004868519,0.0058830595],"category_scores_gemma":[0.012240393,0.0012237378,0.0011790172,0.0017912409,0.0036058894,0.0024882476,0.0029749973,0.0024845458,0.00042511715],"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":[0.00016617781,0.00011265619,0.0005819013,0.00024226947,0.00011155321,0.00011590343,0.00009844555,0.8181686,0.0005580512,0.16758879,0.0022688343,0.009986781],"study_design_scores_gemma":[0.000038521073,0.000027587352,0.00012541548,0.000011486517,0.000013099686,0.000012586894,0.000013714169,0.95894825,0.00010344739,0.040297907,0.00039284298,0.000015094809],"about_ca_topic_score_codex":0.010040759,"about_ca_topic_score_gemma":0.0060280226,"teacher_disagreement_score":0.010040759,"about_ca_system_score_codex":0.0029031648,"about_ca_system_score_gemma":0.0034119391,"threshold_uncertainty_score":0.021064043},"labels":[],"label_agreement":null},{"id":"W1979189365","doi":"10.1016/j.automatica.2007.03.025","title":"Adaptive stepsize selection for tracking in a regime-switching environment","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":9,"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":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Selection (genetic algorithm); Tracking (education); Computer science; Adaptation (eye); Artificial intelligence; Psychology; Control (management); Neuroscience","score_opus":0.009612646574404526,"score_gpt":0.23056711926960788,"score_spread":0.22095447269520335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979189365","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024769273,0.00014365443,0.9731277,0.0001477891,0.000043685042,0.000032233114,0.00002673068,0.000259105,0.0014498148],"genre_scores_gemma":[0.89351934,0.00020599377,0.10156257,0.0001466759,0.000059840844,0.00021669127,0.00009724186,0.000105373794,0.004086132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995516,0.00020282432,0.00001616812,0.000077179844,0.00008984452,0.0000623319],"domain_scores_gemma":[0.99816626,0.0013605924,0.00009526375,0.0001107631,0.00018729738,0.00007981681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014923107,0.00074892776,0.0011889848,0.0005335977,0.0004258531,0.00083845103,0.0011294128,0.001157397,0.0019821122],"category_scores_gemma":[0.005253399,0.00046127112,0.00046101923,0.00047827812,0.000922835,0.000848413,0.001219328,0.0012368278,0.00029867375],"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":[0.0005527676,0.00014488299,0.00091934175,0.00011283562,0.00012296387,0.000117181764,0.00011048489,0.85899144,0.004422157,0.051322415,0.0022083889,0.08097516],"study_design_scores_gemma":[0.000020215906,0.000026797823,0.00006537093,0.000002991063,0.0000043628793,0.000005736822,0.0000028406912,0.9947897,0.00025859586,0.0047054887,0.000112849404,0.0000050089684],"about_ca_topic_score_codex":0.0026656864,"about_ca_topic_score_gemma":0.001914396,"teacher_disagreement_score":0.0026656864,"about_ca_system_score_codex":0.00047375748,"about_ca_system_score_gemma":0.00076412264,"threshold_uncertainty_score":0.007892191},"labels":[],"label_agreement":null},{"id":"W1979540922","doi":"10.1016/j.automatica.2009.07.017","title":"Robust controllability and observability degrees of polynomially uncertain systems","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Observability; Controllability; Control theory (sociology); Mathematics; Algebraic number; Controllability Gramian; LTI system theory; Singular value; Robust control; Linear system; Gramian matrix; Measure (data warehouse); Mathematical optimization; Robustness (evolution); Computer science; Control system; Control (management); Applied mathematics; Engineering","score_opus":0.025090179404994417,"score_gpt":0.2083595055969222,"score_spread":0.1832693261919278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979540922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5118035,0.00084153406,0.4674298,0.00083597115,0.00006288269,0.00004264882,0.00043562055,0.00027211368,0.018275892],"genre_scores_gemma":[0.99265224,0.00020281642,0.0060467427,0.000022225828,0.000042048294,0.000019371852,0.00008647733,0.000018409577,0.00090977096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921036,0.0001484442,0.0000454077,0.00014629004,0.0002911204,0.00015840249],"domain_scores_gemma":[0.995375,0.0028978607,0.00080109655,0.0003232432,0.00035974098,0.00024316585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085101,0.00058226177,0.00048885006,0.00091734447,0.00048124677,0.0014985108,0.0009283004,0.0005509626,0.0044195047],"category_scores_gemma":[0.00783523,0.00029444465,0.0006227045,0.00049244915,0.0012662086,0.0027081424,0.000977046,0.0012375042,0.00023081087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086694374,0.00014592416,0.0016301691,0.00027144855,0.00006504559,0.00023361931,0.0006541832,0.31151763,0.02046764,0.6127047,0.00086570816,0.050576873],"study_design_scores_gemma":[0.000074484975,0.00018736614,0.001963464,0.00003297955,0.000023022516,0.00010173736,0.00009756815,0.6111952,0.0064348574,0.37887013,0.00097291777,0.000046303365],"about_ca_topic_score_codex":0.0011560643,"about_ca_topic_score_gemma":0.00081518106,"teacher_disagreement_score":0.0044195047,"about_ca_system_score_codex":0.00068483216,"about_ca_system_score_gemma":0.0005283205,"threshold_uncertainty_score":0.014784694},"labels":[],"label_agreement":null},{"id":"W1982156151","doi":"10.1016/j.automatica.2004.03.022","title":"Diagnosis of poor control-loop performance using higher-order statistics","year":2004,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":270,"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 Alberta","funders":"University of Oxford","keywords":"Bicoherence; Bispectrum; Higher-order statistics; Cumulant; Nonlinear system; Index (typography); Computer science; Loop (graph theory); Statistics; Data mining; Control theory (sociology); Control (management); Mathematics; Artificial intelligence; Signal processing; Telecommunications","score_opus":0.009346724329274329,"score_gpt":0.22119508035560378,"score_spread":0.21184835602632945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982156151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71075445,0.00031714665,0.28313294,0.00025867287,0.00006863437,0.00005316221,0.0003238813,0.003014619,0.0020764105],"genre_scores_gemma":[0.99164796,0.00004013246,0.0079063885,0.000018867937,0.0000149105135,0.00000680364,0.00011659443,0.000036082565,0.00021227926],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991431,0.00016477937,0.00010160537,0.00011461174,0.00034281742,0.00013306028],"domain_scores_gemma":[0.9897371,0.005868772,0.001634441,0.0010637194,0.0013406236,0.00035520433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013718244,0.0009044567,0.0011027372,0.0023912669,0.00038144246,0.0009907703,0.00049145456,0.00085385365,0.0013878015],"category_scores_gemma":[0.008710034,0.00019105256,0.00042900682,0.0008240309,0.00047622275,0.0010886686,0.0004759611,0.00077741523,0.00044640858],"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":[0.0035053901,0.0009201955,0.3087475,0.00055785215,0.00047348996,0.002896964,0.00077122846,0.26381427,0.12636103,0.007818367,0.0032248788,0.28090885],"study_design_scores_gemma":[0.000045354944,0.00052541983,0.068204746,0.000023017494,0.00007301667,0.0009901844,0.00011568389,0.90058386,0.025027335,0.003908467,0.0004414207,0.0000615761],"about_ca_topic_score_codex":0.002309316,"about_ca_topic_score_gemma":0.0027546594,"teacher_disagreement_score":0.0023912669,"about_ca_system_score_codex":0.00036775187,"about_ca_system_score_gemma":0.00069707487,"threshold_uncertainty_score":0.0072550178},"labels":[],"label_agreement":null},{"id":"W1982473171","doi":"10.1016/j.automatica.2010.05.016","title":"Performance assessment of advanced supervisory–regulatory control systems with subspace LQG benchmark","year":2010,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":35,"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 Alberta","funders":"","keywords":"Linear-quadratic-Gaussian control; Optimal projection equations; Control theory (sociology); Subspace topology; Cascade; Controller (irrigation); Supervisory control; Optimal control; Benchmark (surveying); Parametric statistics; Engineering; Control engineering; Computer science; Control (management); Mathematics; Mathematical optimization; Artificial intelligence","score_opus":0.0037412605911197475,"score_gpt":0.1970322159131305,"score_spread":0.19329095532201074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982473171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8502042,0.0014605096,0.12829927,0.00054602406,0.00015903653,0.00008929551,0.00038749303,0.0007733979,0.018080818],"genre_scores_gemma":[0.996271,0.00003456159,0.0031785523,0.000012564788,0.000008858519,0.000010103643,0.00013543727,0.0000098942455,0.00033896294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990765,0.00041699104,0.000044253396,0.00009696141,0.00019310058,0.00017221611],"domain_scores_gemma":[0.9965095,0.0018044394,0.0002575536,0.00028159848,0.0009829005,0.00016407456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026475212,0.000784093,0.0008256504,0.0007691383,0.0004051024,0.0009564174,0.0005020662,0.000884236,0.0015428733],"category_scores_gemma":[0.0046387427,0.00013464567,0.0003401048,0.00046860045,0.00059130776,0.00059269357,0.0007561579,0.0004962367,0.00016783668],"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":[0.0011812062,0.00013513741,0.0010418274,0.0001471827,0.00007141971,0.000049311875,0.000034938857,0.9737949,0.0038974679,0.0037379328,0.000705645,0.015202997],"study_design_scores_gemma":[0.000028575736,0.00037744697,0.0012898379,0.000006769013,0.000011430485,0.000010876538,0.000019830793,0.9951624,0.0018820765,0.0010478711,0.00015241315,0.000010515615],"about_ca_topic_score_codex":0.007018532,"about_ca_topic_score_gemma":0.0030463862,"teacher_disagreement_score":0.007018532,"about_ca_system_score_codex":0.00063298456,"about_ca_system_score_gemma":0.00072809623,"threshold_uncertainty_score":0.014001608},"labels":[],"label_agreement":null},{"id":"W1983523909","doi":"10.1016/j.automatica.2009.06.006","title":"Multi-agent team cooperation: A game theory approach","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":242,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematical optimization; Bargaining problem; Game theory; Pareto principle; Nash equilibrium; Minification; Cooperative game theory; Controller (irrigation); Computer science; Set (abstract data type); Function (biology); Complete information; Mathematics; Mathematical economics","score_opus":0.01761174270293917,"score_gpt":0.24883323577717423,"score_spread":0.23122149307423506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983523909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010298046,0.00059737056,0.9591606,0.0011020252,0.000120242585,0.000106091145,0.000038919658,0.000038498085,0.028538162],"genre_scores_gemma":[0.78341246,0.0017452957,0.19877188,0.0004083963,0.00029200592,0.0005917681,0.00007239294,0.000048287002,0.014657497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781954,0.0013518531,0.000073969975,0.00021322713,0.0003832631,0.00015816421],"domain_scores_gemma":[0.9979724,0.0014332922,0.0001540395,0.00008273859,0.00021267243,0.00014470312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022637802,0.0012201761,0.001611375,0.0010967421,0.0012614807,0.0031968593,0.0029769877,0.0029910025,0.0041698897],"category_scores_gemma":[0.0043709525,0.0006332998,0.0015195878,0.0013105196,0.0030796488,0.0038424488,0.0021542616,0.0019017725,0.000455414],"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":[0.000026878723,0.00004761036,0.00015954464,0.00009209234,0.000070468646,0.00012978139,0.00027207713,0.13182892,0.00047218954,0.8601177,0.001123491,0.005659319],"study_design_scores_gemma":[0.000035884088,0.00004980102,0.0000968173,0.000029351379,0.000039469935,0.00007129981,0.00016329951,0.553258,0.0001499231,0.44378495,0.0023002827,0.000020925334],"about_ca_topic_score_codex":0.0026378941,"about_ca_topic_score_gemma":0.0020196317,"teacher_disagreement_score":0.0041698897,"about_ca_system_score_codex":0.0018204264,"about_ca_system_score_gemma":0.0016624549,"threshold_uncertainty_score":0.013949633},"labels":[],"label_agreement":null},{"id":"W1983915728","doi":"10.1016/j.automatica.2012.06.072","title":"A control-theoretic approach to disseminating values and overcoming malicious links in wireless networks","year":2012,"lang":"en","type":"article","venue":"Automatica","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":31,"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 Waterloo","funders":"","keywords":"Node (physics); Dissemination; Computer science; Bounded function; Computer network; Wireless network; Resilience (materials science); Set (abstract data type); Vertex (graph theory); Wireless; Mathematics; Theoretical computer science; Graph; Telecommunications","score_opus":0.015007285221209398,"score_gpt":0.26614775906939014,"score_spread":0.2511404738481807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983915728","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012113148,0.00039665453,0.9769686,0.001698208,0.00017643538,0.00005724479,0.000049409362,0.000078581914,0.008461749],"genre_scores_gemma":[0.91163665,0.0009464791,0.07640703,0.0006245812,0.0006019564,0.00027108754,0.000051903568,0.00007356849,0.00938677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99728215,0.001249574,0.00011781284,0.0003128556,0.00082072325,0.00021697345],"domain_scores_gemma":[0.9903768,0.007250374,0.0006395514,0.0006041313,0.0008979204,0.00023131359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003995653,0.0010746757,0.0010277579,0.0018982169,0.001047895,0.0026835368,0.0032313524,0.0024801146,0.0025209903],"category_scores_gemma":[0.015752073,0.00070010003,0.0010066667,0.0016680419,0.0056996103,0.004399426,0.0027595626,0.002389883,0.00023092951],"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":[0.00004753936,0.00005826216,0.00020828121,0.0000902679,0.00003536648,0.00008640821,0.0001937547,0.29462808,0.0015804346,0.68940854,0.0014075759,0.0122554945],"study_design_scores_gemma":[0.000018394456,0.000047036076,0.000054649154,0.000015560887,0.000016833435,0.000033967623,0.000033379987,0.73168004,0.0005921695,0.26659065,0.00089692196,0.000020358419],"about_ca_topic_score_codex":0.0025732424,"about_ca_topic_score_gemma":0.001580864,"teacher_disagreement_score":0.003995653,"about_ca_system_score_codex":0.0021500539,"about_ca_system_score_gemma":0.001632224,"threshold_uncertainty_score":0.021131277},"labels":[],"label_agreement":null},{"id":"W1984091852","doi":"10.1016/s0005-1098(03)00022-0","title":"Two-dimensional loop shaping","year":2003,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Honeywell (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Constructive; Controller (irrigation); Actuator; Control engineering; Basis (linear algebra); Computer science; Control theory (sociology); Distributed control system; Loop (graph theory); Software; Field (mathematics); Feedback loop; Distributed parameter system; Distributed computing; Engineering; Control (management); Mathematics; Process (computing)","score_opus":0.012452769804577978,"score_gpt":0.23038167069602242,"score_spread":0.21792890089144443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984091852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011112839,0.00012411634,0.9693786,0.00018970948,0.00013102837,0.000026507927,0.000033532753,0.0005574325,0.018446267],"genre_scores_gemma":[0.8296894,0.00033870823,0.12431203,0.0003562765,0.00008470553,0.00014543874,0.00013406099,0.00012634008,0.04481303],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99981886,0.000030103025,0.000007493778,0.00003969433,0.00008821114,0.000015689824],"domain_scores_gemma":[0.99978584,0.00006797067,0.000018903811,0.000059142993,0.000049192193,0.000018865847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018349513,0.00045046973,0.00036192924,0.00019216628,0.00030678956,0.0009062406,0.00032997903,0.00071311544,0.0065355366],"category_scores_gemma":[0.0008863739,0.0001682071,0.00026711635,0.0002305654,0.0005227213,0.0006410201,0.0011468158,0.0006269559,0.0012682411],"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":[0.00045439776,0.0001393818,0.0005627126,0.0002501316,0.000053838034,0.00021706353,0.00035710336,0.24379295,0.11437142,0.2759902,0.005655015,0.35815576],"study_design_scores_gemma":[0.00004559207,0.00015536994,0.00036631065,0.000020257869,0.000014635093,0.00018554623,0.00003431746,0.8970711,0.028663328,0.056891117,0.016510818,0.00004152853],"about_ca_topic_score_codex":0.00033137342,"about_ca_topic_score_gemma":0.00030408258,"teacher_disagreement_score":0.0065355366,"about_ca_system_score_codex":0.00022801917,"about_ca_system_score_gemma":0.0003110218,"threshold_uncertainty_score":0.02186352},"labels":[],"label_agreement":null},{"id":"W1989760660","doi":"10.1016/j.automatica.2006.04.004","title":"Piecewise-linear <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si15.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mo>∞</mml:mo></mml:mrow></mml:msub></mml:math> controller synthesis with applications to inventory control of switched production systems","year":2006,"lang":"lv","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"","keywords":"Piecewise linear function; Algorithm; Production (economics); Mathematics; Computer science; Stock (firearms); Control theory (sociology); Artificial intelligence; Control (management); Mathematical analysis; Engineering; Economics","score_opus":0.010573318523167364,"score_gpt":0.21902772916291596,"score_spread":0.2084544106397486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989760660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057261446,0.00043042874,0.951153,0.00017717281,0.00011743399,0.00005113508,0.0012281669,0.0031427508,0.037973724],"genre_scores_gemma":[0.5329366,0.0016886665,0.3325615,0.00022873949,0.00011769667,0.00028033997,0.004083867,0.0012891776,0.12681352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984384,0.000023219838,0.00000788725,0.000032101525,0.00007445031,0.000018406547],"domain_scores_gemma":[0.9997981,0.000061280654,0.00002448781,0.000034517077,0.000071325296,0.000010427317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015261516,0.00062625686,0.0002759129,0.0003904715,0.00033703572,0.0008206477,0.0006567978,0.00035714818,0.039184324],"category_scores_gemma":[0.0008256713,0.00028624674,0.00038278496,0.0005870216,0.00024991782,0.0006574841,0.00046396954,0.0008146402,0.009571104],"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":[0.0003860936,0.00008600969,0.00079342694,0.0010095915,0.00005135962,0.00029072337,0.00025220323,0.4096934,0.050002266,0.105058625,0.04811891,0.38425747],"study_design_scores_gemma":[0.000055475288,0.00017653515,0.00074647856,0.00008229149,0.000045893405,0.00023361227,0.00007273302,0.85692453,0.025675438,0.03237717,0.08356381,0.00004601858],"about_ca_topic_score_codex":0.0033549292,"about_ca_topic_score_gemma":0.0047273682,"teacher_disagreement_score":0.039184324,"about_ca_system_score_codex":0.00053453055,"about_ca_system_score_gemma":0.00048594014,"threshold_uncertainty_score":0.13108462},"labels":[],"label_agreement":null},{"id":"W1990302961","doi":"10.1016/j.automatica.2006.05.004","title":"Optimal genetic manipulations in batch bioreactor control","year":2006,"lang":"en","type":"article","venue":"Automatica","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"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 Toronto","funders":"Army Research Office; Institute for Collaborative Biotechnologies; National Science Foundation","keywords":"Bioreactor; Optimal control; Control (management); Computer science; Biochemical engineering; Control theory (sociology); Process engineering; Mathematics; Biology; Engineering; Mathematical optimization; Artificial intelligence","score_opus":0.0030484005289869893,"score_gpt":0.195181279310771,"score_spread":0.192132878781784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990302961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18470307,0.0006311894,0.81105334,0.00024016714,0.000068361645,0.000049156468,0.00008433024,0.0006812861,0.002489089],"genre_scores_gemma":[0.81574124,0.0003607407,0.18243346,0.00004101694,0.00003213797,0.00012002939,0.00005937739,0.00007724062,0.0011348543],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993819,0.00012420282,0.00003345087,0.00012579508,0.00027138408,0.00006322129],"domain_scores_gemma":[0.99922097,0.0005003941,0.00011463575,0.000065229586,0.00007376875,0.000025113952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005691756,0.00049784494,0.0005180533,0.00032658956,0.0003020784,0.0006052791,0.0007046967,0.00030820552,0.00044320532],"category_scores_gemma":[0.0018825603,0.0003965858,0.00020943831,0.00037786298,0.0006198256,0.00052178797,0.00050707656,0.0006348057,0.00014587844],"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":[0.0006279755,0.000200364,0.00068335945,0.00017949809,0.0000384817,0.00007130836,0.000093686234,0.2108553,0.65588063,0.026715955,0.00076314306,0.10389027],"study_design_scores_gemma":[0.000055288074,0.00023072337,0.0010395466,0.000011413495,0.00002399181,0.000045753186,0.000020596945,0.765942,0.21624987,0.014354426,0.001980944,0.00004542922],"about_ca_topic_score_codex":0.0011608071,"about_ca_topic_score_gemma":0.0013625097,"teacher_disagreement_score":0.0011608071,"about_ca_system_score_codex":0.0007237228,"about_ca_system_score_gemma":0.00055791653,"threshold_uncertainty_score":0.0052509904},"labels":[],"label_agreement":null},{"id":"W1990465469","doi":"10.1016/s0005-1098(03)00146-8","title":"The nature of data pre-filters in MPC relevant identification—open- and closed-loop issues","year":2003,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":32,"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 Alberta","funders":"","keywords":"Model predictive control; Control theory (sociology); Identification (biology); Computer science; Closed loop; Control (management); Control engineering; Engineering; Artificial intelligence","score_opus":0.014712222369679747,"score_gpt":0.2812595739136648,"score_spread":0.26654735154398507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990465469","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010030161,0.0016850384,0.9769952,0.0012541478,0.0002590077,0.000059987255,0.00005535225,0.00023269457,0.009428445],"genre_scores_gemma":[0.7471265,0.0039476445,0.23112854,0.0008910957,0.0012313985,0.00023864738,0.00015301249,0.00027532296,0.015007852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980925,0.00050602155,0.00015504185,0.00033506897,0.00073057064,0.00018090292],"domain_scores_gemma":[0.98065484,0.013446539,0.00064808904,0.0025844658,0.002522634,0.00014333961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037482188,0.00078172766,0.0012643214,0.0006031417,0.0013100535,0.005117309,0.0012488908,0.0029514048,0.004198291],"category_scores_gemma":[0.021031985,0.0008664634,0.0004813002,0.00065231585,0.002093165,0.010551584,0.0011074761,0.0034803436,0.0012454962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077514176,0.0003816395,0.0014122959,0.00092506263,0.00006908131,0.000293954,0.00046672433,0.06722466,0.021858228,0.4629416,0.0025015548,0.44115013],"study_design_scores_gemma":[0.00007967152,0.00034677342,0.0023666462,0.00035558548,0.00006976758,0.00045313002,0.00029276987,0.5266379,0.08490988,0.36889946,0.015475005,0.00011340974],"about_ca_topic_score_codex":0.0010068091,"about_ca_topic_score_gemma":0.00088279945,"teacher_disagreement_score":0.005117309,"about_ca_system_score_codex":0.00088366115,"about_ca_system_score_gemma":0.0012376697,"threshold_uncertainty_score":0.019822717},"labels":[],"label_agreement":null},{"id":"W1992113628","doi":"10.1016/j.automatica.2014.12.043","title":"Parametrization of optimal fault detection filters","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Parametrization (atmospheric modeling); Fault detection and isolation; Filter (signal processing); Upper and lower bounds; Sensitivity (control systems); Invariant (physics); Linear system; Fault (geology); Mathematics; Mathematical optimization; Computer science; Engineering; Mathematical analysis","score_opus":0.012385040097733144,"score_gpt":0.21758375906871436,"score_spread":0.20519871897098121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992113628","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017387766,0.00024432517,0.97777677,0.00020583977,0.000036438505,0.00001650648,0.000057407546,0.00032259166,0.003952333],"genre_scores_gemma":[0.9018177,0.00036494815,0.09145581,0.00010595538,0.000055869987,0.00011554966,0.00017049338,0.0002298468,0.005683826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994142,0.00019952122,0.000034414406,0.00016477205,0.0001189071,0.0000682075],"domain_scores_gemma":[0.9987746,0.00067553425,0.00014250966,0.0002051685,0.00014760366,0.00005455224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010127622,0.0009025387,0.0007591383,0.00068438036,0.00029277042,0.0018062864,0.00075928844,0.0013128171,0.003543894],"category_scores_gemma":[0.0059367847,0.00057634746,0.00047695462,0.00047452486,0.00079784147,0.0013034095,0.0008607961,0.0011570344,0.00066660286],"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":[0.00027242347,0.000048700786,0.0004632113,0.000102588674,0.000049938113,0.000069484646,0.00013745474,0.75357515,0.010717307,0.16167471,0.0013792043,0.07150984],"study_design_scores_gemma":[0.000025365156,0.000029932782,0.0002175063,0.0000146852935,0.000012314089,0.000027108636,0.000014187885,0.9426602,0.0021525354,0.053534638,0.0012959876,0.000015499407],"about_ca_topic_score_codex":0.001694951,"about_ca_topic_score_gemma":0.0010860949,"teacher_disagreement_score":0.003543894,"about_ca_system_score_codex":0.0011992668,"about_ca_system_score_gemma":0.0006496258,"threshold_uncertainty_score":0.011855483},"labels":[],"label_agreement":null},{"id":"W1992199776","doi":"10.1016/j.automatica.2006.08.013","title":"Simultaneous LQ control of a set of LTI systems using constrained generalized sampled-data hold functions","year":2006,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Piecewise; Linear matrix inequality; Control theory (sociology); Controller (irrigation); Set (abstract data type); Mathematical optimization; Function (biology); Polynomial; Quadratic equation; Constant (computer programming); Matrix (chemical analysis); Control (management); Computer science","score_opus":0.02917378244050601,"score_gpt":0.24434471397014124,"score_spread":0.21517093152963523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992199776","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060272124,0.00019603937,0.9375418,0.00010614927,0.00004151703,0.000042419622,0.00005999168,0.00026095702,0.0014790004],"genre_scores_gemma":[0.9835329,0.000080697915,0.01542125,0.00003257836,0.000022847624,0.000102260296,0.00005449816,0.000017617229,0.00073523563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993156,0.00018500406,0.000048583614,0.00018198807,0.00016063257,0.00010821613],"domain_scores_gemma":[0.9987501,0.00063413853,0.00020193936,0.00012285933,0.00023681624,0.000054207336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011744642,0.0008602332,0.0010557405,0.00036217947,0.00042609638,0.0014356019,0.0008181565,0.00055017904,0.001001668],"category_scores_gemma":[0.0023017162,0.00036582936,0.0008024887,0.0005162255,0.0009953992,0.0010876879,0.0012940457,0.0007701625,0.00011364944],"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":[0.0006373694,0.00016628297,0.00094611145,0.000375632,0.00023584762,0.00022583728,0.0004976852,0.8800914,0.030802302,0.016355207,0.00079951657,0.0688668],"study_design_scores_gemma":[0.000024754774,0.00011688305,0.00037311227,0.0000074346804,0.000024175104,0.000010792481,0.000022492173,0.9941918,0.0022701565,0.0026858859,0.0002631424,0.000009230558],"about_ca_topic_score_codex":0.005165589,"about_ca_topic_score_gemma":0.0036876532,"teacher_disagreement_score":0.005165589,"about_ca_system_score_codex":0.0005584736,"about_ca_system_score_gemma":0.00063038943,"threshold_uncertainty_score":0.010271013},"labels":[],"label_agreement":null},{"id":"W1995066200","doi":"10.1016/j.automatica.2010.02.030","title":"On asymptotic stability of semi-linear distributed parameter dissipative systems","year":2010,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":20,"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 Alberta","funders":"","keywords":"Dissipative system; Banach space; Mathematics; Exponential stability; Stability (learning theory); Regular polygon; Nonlinear system; Class (philosophy); State space; Distributed parameter system; Parameter space; Space (punctuation); State (computer science); Applied mathematics; Linear system; Mathematical analysis; Control theory (sociology); Control (management); Computer science; Physics; Partial differential equation; Geometry","score_opus":0.012498456174511481,"score_gpt":0.23092648886059067,"score_spread":0.2184280326860792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995066200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26245886,0.003233797,0.68850636,0.0011955942,0.00027691288,0.000053418386,0.00011087797,0.00023375468,0.043930385],"genre_scores_gemma":[0.9906647,0.0007533004,0.0032735064,0.000057987327,0.000105571205,0.000034854285,0.000052841282,0.000034784283,0.005022567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964535,0.00013297006,0.000016522632,0.00005209135,0.000117064,0.000036026406],"domain_scores_gemma":[0.99811125,0.0011565202,0.00013727914,0.00009046951,0.00045524756,0.000049192906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000961922,0.0005930487,0.00068112666,0.00066152064,0.00038940282,0.0009955984,0.0005985581,0.00059570704,0.002551456],"category_scores_gemma":[0.0042836783,0.00017011166,0.00040468454,0.0004681406,0.0015040502,0.00090064795,0.0013213583,0.0007807911,0.00024463132],"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":[0.00026666652,0.000090821435,0.0012166088,0.000378453,0.00011609195,0.00034661446,0.0005413396,0.6819939,0.0211148,0.25259018,0.0020691515,0.03927544],"study_design_scores_gemma":[0.000008768884,0.00003623143,0.00032751216,0.000013946884,0.000010221036,0.000039049253,0.0000337583,0.94933933,0.0007389337,0.048936192,0.0005076694,0.00000847158],"about_ca_topic_score_codex":0.0016904201,"about_ca_topic_score_gemma":0.0009154432,"teacher_disagreement_score":0.002551456,"about_ca_system_score_codex":0.00053635665,"about_ca_system_score_gemma":0.00037926558,"threshold_uncertainty_score":0.008535504},"labels":[],"label_agreement":null},{"id":"W1995535481","doi":"10.1016/j.automatica.2008.09.013","title":"Multi-agent stabilisation of the psychological dynamics of one-dimensional crowds","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":19,"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 Waterloo","funders":"","keywords":"Crowds; Control (management); Queue; Computer science; Dynamics (music); Action (physics); Suggestibility; Psychological control; Control theory (sociology); Psychology; Computer security; Social psychology; Artificial intelligence; Computer network","score_opus":0.03657442194597277,"score_gpt":0.2985265518476667,"score_spread":0.2619521299016939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995535481","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4397199,0.00035532392,0.5505266,0.0011804928,0.00013104534,0.000052492243,0.0000674734,0.00030765406,0.0076589775],"genre_scores_gemma":[0.99382234,0.000052179555,0.0050314628,0.000024844248,0.00002301189,0.00002348127,0.000018843886,0.000017649938,0.0009862527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999485,0.0002117302,0.000018188297,0.00013413199,0.000070801056,0.00008010326],"domain_scores_gemma":[0.99491656,0.0034171792,0.0006583447,0.00030266197,0.0004040189,0.00030124836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00158608,0.00053520454,0.0009968152,0.00071665365,0.000708474,0.0016304082,0.0010076079,0.000900502,0.0016936024],"category_scores_gemma":[0.010430074,0.0003624876,0.00069208606,0.0002922425,0.0017712564,0.0016946872,0.001932922,0.0012293602,0.0001726387],"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":[0.00023998287,0.000060810693,0.0014365772,0.000105805906,0.00011196282,0.00012885183,0.0004694086,0.85568136,0.007830303,0.11465174,0.0010132188,0.018269975],"study_design_scores_gemma":[0.000009103743,0.000013053338,0.00026008813,0.0000023992795,0.0000033883152,0.0000059690537,0.000018278964,0.9758648,0.00018875765,0.02354372,0.00008366626,0.0000067647916],"about_ca_topic_score_codex":0.003405249,"about_ca_topic_score_gemma":0.0021477789,"teacher_disagreement_score":0.003405249,"about_ca_system_score_codex":0.00085493806,"about_ca_system_score_gemma":0.0007925561,"threshold_uncertainty_score":0.008388102},"labels":[],"label_agreement":null},{"id":"W1997214638","doi":"10.1016/j.automatica.2009.11.019","title":"Multi-rate stochastic <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si7.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> filtering for networked multi-sensor fusion","year":2009,"lang":"lv","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Estimator; Computer science; Fusion center; Kalman filter; Algorithm; Observer (physics); Bounded function; Control theory (sociology); Mathematics; Artificial intelligence; Statistics","score_opus":0.020171236095344314,"score_gpt":0.24368825114798082,"score_spread":0.2235170150526365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997214638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038938841,0.0002712439,0.987189,0.00047073868,0.00016617341,0.000045951027,0.0012175231,0.00051779137,0.0062276805],"genre_scores_gemma":[0.6402864,0.0031060632,0.2578266,0.0007519114,0.00063492707,0.00049268076,0.0073741106,0.00086934795,0.08865799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894184,0.00022299362,0.00006128624,0.00023043319,0.00043946726,0.00010401385],"domain_scores_gemma":[0.99823606,0.0007208571,0.00024240538,0.00031661696,0.00040098676,0.00008303794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016281139,0.0010114218,0.000883457,0.00070569274,0.0004985596,0.0014433456,0.0012447531,0.0009972303,0.015374997],"category_scores_gemma":[0.0063249585,0.00046032015,0.0011790943,0.00091638573,0.0005626034,0.0021101506,0.001254472,0.0016367129,0.0038342425],"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":[0.00028310003,0.00005285533,0.0015854876,0.00035871012,0.000102850914,0.0002670942,0.00007922019,0.6504661,0.0064841253,0.25722143,0.022197368,0.060901627],"study_design_scores_gemma":[0.000011308404,0.000020921965,0.00052098144,0.000018629335,0.000013713961,0.00006833297,0.000009855073,0.97294205,0.0018258134,0.020337125,0.004204624,0.000026708609],"about_ca_topic_score_codex":0.005672686,"about_ca_topic_score_gemma":0.005533018,"teacher_disagreement_score":0.015374997,"about_ca_system_score_codex":0.0011465378,"about_ca_system_score_gemma":0.0008995775,"threshold_uncertainty_score":0.051434457},"labels":[],"label_agreement":null},{"id":"W2000932936","doi":"10.1016/j.automatica.2008.02.027","title":"Control for discrete singular hybrid systems","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Beijing Institute of Technology; National Natural Science Foundation of China","keywords":"Control theory (sociology); Discrete time and continuous time; Class (philosophy); Full state feedback; Controller (irrigation); Mathematics; State (computer science); Set (abstract data type); Stability (learning theory); Output feedback; Hybrid system; Control (management); Computer science; Algorithm","score_opus":0.010822507847386597,"score_gpt":0.20385781383105223,"score_spread":0.19303530598366564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000932936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038061216,0.003319687,0.9402027,0.00063091243,0.00056864467,0.000050288374,0.00008463933,0.000288149,0.016793756],"genre_scores_gemma":[0.9772899,0.0011523477,0.012219956,0.00010164163,0.00024155556,0.00007266896,0.000088252884,0.000025229043,0.00880849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998067,0.000043443095,0.000012284144,0.000039226536,0.00007560327,0.000022796019],"domain_scores_gemma":[0.9996861,0.000121859106,0.000039801293,0.00003222042,0.000095314586,0.000024705574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043651057,0.00055520947,0.0006789332,0.00036898867,0.00040150378,0.0014580332,0.0005448109,0.00053279445,0.0023324136],"category_scores_gemma":[0.0010141303,0.00019476503,0.00031381563,0.0004211112,0.00090205553,0.00061357155,0.00080507185,0.0008687091,0.00026534792],"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":[0.00033408575,0.000104972365,0.00051489956,0.00044730792,0.000114087336,0.00023685583,0.00034762634,0.56163454,0.01461674,0.2734194,0.004184268,0.14404519],"study_design_scores_gemma":[0.000030237708,0.0000758229,0.00015786612,0.000009283483,0.000010618868,0.000020088308,0.000022281476,0.96300757,0.0005192465,0.03401518,0.0021241372,0.000007659477],"about_ca_topic_score_codex":0.0041478504,"about_ca_topic_score_gemma":0.0020829223,"teacher_disagreement_score":0.0041478504,"about_ca_system_score_codex":0.0005130759,"about_ca_system_score_gemma":0.0003586383,"threshold_uncertainty_score":0.008247435},"labels":[],"label_agreement":null},{"id":"W2002142656","doi":"10.1016/j.automatica.2007.04.027","title":"Control of continuous-time LTI systems by means of structurally constrained controllers","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); LTI system theory; Controller (irrigation); Linear system; Mathematics; Diagonal; Computer science; Control (management)","score_opus":0.0028018427005844313,"score_gpt":0.18140794356464204,"score_spread":0.17860610086405762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002142656","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040057022,0.00029184695,0.95191747,0.0001518559,0.000099753604,0.000042624048,0.000061464154,0.0004552826,0.006922655],"genre_scores_gemma":[0.9829044,0.00016927953,0.015519378,0.0000543052,0.000038423856,0.0001030281,0.00004610291,0.000020291558,0.0011447169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998024,0.00004436604,0.000013894858,0.000038078902,0.00006849465,0.000032718614],"domain_scores_gemma":[0.9995963,0.00017271799,0.00009741199,0.00003936746,0.0000760499,0.000018252358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034115923,0.0006054588,0.00047148732,0.00022386074,0.00037517204,0.0009032514,0.00057936955,0.00045343657,0.0017552177],"category_scores_gemma":[0.0011846849,0.00019007575,0.00028685218,0.00024406705,0.00061102543,0.00060000375,0.00066036754,0.0006019361,0.00022741492],"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":[0.00027242507,0.000114885326,0.00028931597,0.00034587842,0.000059527993,0.00017878582,0.0002774491,0.81060445,0.046841342,0.063050605,0.0015025849,0.076462656],"study_design_scores_gemma":[0.000026322352,0.00010336081,0.0001859739,0.000011314822,0.000012801164,0.00001687158,0.000010654806,0.9878405,0.0040064557,0.0069540804,0.00082285056,0.000008796148],"about_ca_topic_score_codex":0.001725299,"about_ca_topic_score_gemma":0.0020429816,"teacher_disagreement_score":0.0017552177,"about_ca_system_score_codex":0.000266007,"about_ca_system_score_gemma":0.00046360766,"threshold_uncertainty_score":0.0058717728},"labels":[],"label_agreement":null},{"id":"W2003002102","doi":"10.1016/j.automatica.2015.01.018","title":"LPV system identification under noise corrupted scheduling and output signal observations","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":52,"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":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Providence Health Care","keywords":"Scheduling (production processes); Control theory (sociology); Noise (video); Computer science; System identification; Variable (mathematics); Mathematics; Mathematical optimization; Data modeling; Artificial intelligence","score_opus":0.03910648210034031,"score_gpt":0.22300835591823817,"score_spread":0.18390187381789785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003002102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12858593,0.00013238094,0.8690338,0.00018266951,0.000057355315,0.000041116415,0.000130968,0.00038367484,0.0014520753],"genre_scores_gemma":[0.97808444,0.00007258267,0.019815933,0.00002314472,0.000019184643,0.00004838277,0.00018403203,0.000039144026,0.0017130042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993037,0.00021927901,0.000032207114,0.00017920411,0.00016011874,0.0001055336],"domain_scores_gemma":[0.9978928,0.0012685275,0.00026598593,0.00020591627,0.00032623205,0.000040656665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012153874,0.0006018689,0.00073230895,0.00024179302,0.00039018423,0.0009101467,0.00057796144,0.0009693109,0.0007187843],"category_scores_gemma":[0.00789746,0.00034236428,0.00030591773,0.00035800584,0.00081306515,0.0007860737,0.00070653216,0.0010485691,0.00023115268],"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":[0.00051749917,0.000042651805,0.0011477476,0.0001575644,0.000050766237,0.0002564495,0.00014144469,0.9544032,0.008569324,0.005002155,0.0003567611,0.029354358],"study_design_scores_gemma":[0.000010190087,0.000036077967,0.0005523313,0.0000051546576,0.0000055747473,0.000018827426,0.000014722084,0.9952295,0.002663274,0.0013439453,0.00011499019,0.000005445411],"about_ca_topic_score_codex":0.006636421,"about_ca_topic_score_gemma":0.0038173976,"teacher_disagreement_score":0.006636421,"about_ca_system_score_codex":0.00047834765,"about_ca_system_score_gemma":0.0013376762,"threshold_uncertainty_score":0.013195574},"labels":[],"label_agreement":null},{"id":"W2005001458","doi":"10.1016/j.automatica.2009.02.025","title":"Direct adaptive fuzzy control of nonlinear strict-feedback systems","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":704,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Shandong Province","keywords":"Control theory (sociology); Backstepping; Fuzzy logic; Fuzzy control system; Controller (irrigation); Adaptive control; Nonlinear system; Bounded function; Adaptive neuro fuzzy inference system; Computer science; Mathematics; Control engineering; Control (management); Engineering; Artificial intelligence","score_opus":0.010336846209097967,"score_gpt":0.21293099011430655,"score_spread":0.20259414390520858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005001458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20281552,0.0010486634,0.77385014,0.00032462817,0.00040979867,0.00007036073,0.00006962953,0.00035247213,0.021058789],"genre_scores_gemma":[0.98225695,0.00024797957,0.011111062,0.000036740286,0.000039563867,0.00003927612,0.000026088148,0.00000899479,0.0062333085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990964,0.000017177186,0.000006274049,0.000013078237,0.00004078222,0.000013065471],"domain_scores_gemma":[0.9997404,0.00008084839,0.000029800296,0.000024443723,0.000108821325,0.000015704161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027730508,0.00030682056,0.00032861184,0.00022526445,0.00041425432,0.00069593947,0.00046422076,0.00032639378,0.0014497892],"category_scores_gemma":[0.00093951006,0.00015247015,0.00016690373,0.00017975099,0.00047651795,0.00028563367,0.00058010913,0.00042838912,0.000184988],"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":[0.000669874,0.00013547562,0.000999077,0.0005098877,0.00007729156,0.00034727098,0.00058263,0.61565125,0.052991956,0.057649758,0.003212514,0.26717305],"study_design_scores_gemma":[0.000032256878,0.000120971774,0.00050406205,0.000011431241,0.00001204006,0.000029455125,0.000027275748,0.9848584,0.0030349414,0.009578297,0.0017793208,0.000011541715],"about_ca_topic_score_codex":0.004521612,"about_ca_topic_score_gemma":0.006803071,"teacher_disagreement_score":0.004521612,"about_ca_system_score_codex":0.00029684897,"about_ca_system_score_gemma":0.00047869593,"threshold_uncertainty_score":0.008990586},"labels":[],"label_agreement":null},{"id":"W2005642238","doi":"10.1016/j.automatica.2004.01.017","title":"Multirate versions of sampled-data stabilization of nonlinear systems","year":2004,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":61,"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 Alberta; Lakehead University","funders":"","keywords":"Control theory (sociology); Emulation; Nonlinear system; Controller (irrigation); Constraint (computer-aided design); Scheme (mathematics); Stability (learning theory); State (computer science); Computer science; Channel (broadcasting); Stability theory; Mathematics; Control (management); Algorithm","score_opus":0.03631176380790868,"score_gpt":0.2544747546404098,"score_spread":0.21816299083250112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005642238","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080289684,0.0008048003,0.9129221,0.0002467679,0.00044108418,0.00003983619,0.00014154884,0.00022866348,0.004885515],"genre_scores_gemma":[0.9431802,0.00067233015,0.049806654,0.00007978889,0.0002110594,0.00007314881,0.00017533705,0.00007292098,0.005728636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995472,0.00015733301,0.00003870532,0.00007342443,0.00014202134,0.000041327294],"domain_scores_gemma":[0.9990958,0.00033459495,0.00014415185,0.00022139814,0.0001704858,0.000033667886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119846,0.000775782,0.0006671844,0.00043116498,0.00024898766,0.0013162474,0.00058027974,0.00078114273,0.0027809672],"category_scores_gemma":[0.0039475663,0.0003271767,0.0004574646,0.000317062,0.00064485596,0.0014132007,0.0010060128,0.0012054094,0.00034122705],"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":[0.0012209952,0.000127446,0.000720449,0.0004499686,0.0001144271,0.0001427247,0.00029853525,0.6847799,0.026534013,0.17167489,0.0023136104,0.11162304],"study_design_scores_gemma":[0.000016478136,0.00006047217,0.00014106728,0.000017084181,0.000008836824,0.000012209864,0.000009617985,0.9843353,0.0017085184,0.013008536,0.00067233905,0.000009474328],"about_ca_topic_score_codex":0.0008601111,"about_ca_topic_score_gemma":0.0010180838,"teacher_disagreement_score":0.0027809672,"about_ca_system_score_codex":0.00035591488,"about_ca_system_score_gemma":0.0003210381,"threshold_uncertainty_score":0.009303272},"labels":[],"label_agreement":null},{"id":"W2010954562","doi":"10.1016/j.automatica.2011.05.007","title":"Parameter estimation with scarce measurements","year":2011,"lang":"gl","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":259,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Lemma (botany); Estimation theory; Kronecker delta; Mathematics; Convergence (economics); Estimation; Applied mathematics; Representation (politics); Mathematical optimization; Algorithm; Engineering","score_opus":0.05071877027501033,"score_gpt":0.21395662190835968,"score_spread":0.16323785163334936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010954562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027326455,0.0011415044,0.96885395,0.00026517356,0.000097989476,0.000016607886,0.00022473396,0.0004633061,0.0016101822],"genre_scores_gemma":[0.85955477,0.0017678096,0.13205971,0.00025018104,0.000414701,0.00014272759,0.0011213111,0.00020051986,0.0044882162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99797887,0.0007096331,0.000110277964,0.0005227152,0.00053426484,0.00014423134],"domain_scores_gemma":[0.99533445,0.0028277135,0.0002969536,0.0010563768,0.00038379134,0.000100631616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016290568,0.0015493887,0.0031782058,0.001301377,0.0006927543,0.0020386386,0.0012311079,0.0024073366,0.0020260687],"category_scores_gemma":[0.0137889115,0.0014640563,0.00092067575,0.001450327,0.0017927993,0.005260129,0.003146751,0.0020397778,0.0014433084],"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":[0.0020020427,0.00015240493,0.003730702,0.0011205231,0.00044385393,0.0008635518,0.00028302704,0.6379285,0.041663833,0.03637956,0.004702663,0.2707293],"study_design_scores_gemma":[0.000033521257,0.00008475602,0.0015765505,0.000063733125,0.000050009246,0.00020107422,0.00003164728,0.9608991,0.011495005,0.02382405,0.001700539,0.000040013918],"about_ca_topic_score_codex":0.001549537,"about_ca_topic_score_gemma":0.0015250026,"teacher_disagreement_score":0.0031782058,"about_ca_system_score_codex":0.00035544793,"about_ca_system_score_gemma":0.0006508677,"threshold_uncertainty_score":0.008615375},"labels":[],"label_agreement":null},{"id":"W2012551661","doi":"10.1016/j.automatica.2011.07.006","title":"Optimal hybrid fault recovery in a team of unmanned aerial vehicles","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Fault (geology); Controller (irrigation); Event (particle physics); Fault tolerance; Scheme (mathematics); Control engineering; Supervisory control; Engineering; Control (management); Computer science; Real-time computing; Distributed computing; Embedded system; Artificial intelligence","score_opus":0.009780773690753445,"score_gpt":0.19887112795753523,"score_spread":0.18909035426678178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012551661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5828748,0.00022271217,0.41100147,0.0005700937,0.0001101094,0.000052718282,0.000050907056,0.0002684935,0.0048486805],"genre_scores_gemma":[0.993826,0.00001789737,0.004949641,0.000015882752,0.000007827817,0.000014321242,0.000015218968,0.000006473874,0.0011467482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963343,0.00008245862,0.000017217864,0.00008304355,0.00007004154,0.00011386605],"domain_scores_gemma":[0.99887246,0.00048375165,0.0002125717,0.00007967304,0.00020795329,0.00014365527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065711484,0.00054768985,0.0009866746,0.00040718805,0.00066511444,0.00078291853,0.0008278267,0.0011188479,0.0013862943],"category_scores_gemma":[0.0019505398,0.0003943156,0.00044843205,0.00030487275,0.00089660136,0.0007184319,0.0011991577,0.00058540294,0.0001427168],"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":[0.00024899837,0.00005248945,0.0006570746,0.000025650743,0.000035225534,0.00019338712,0.00008365693,0.98557407,0.0019357194,0.0029087577,0.00035848754,0.007926564],"study_design_scores_gemma":[0.000012992654,0.000052971187,0.00013682956,0.0000013132318,0.000005180121,0.000010262893,0.000022839818,0.99842477,0.00022238668,0.0010588754,0.00004864736,0.0000029579633],"about_ca_topic_score_codex":0.01013153,"about_ca_topic_score_gemma":0.0037533913,"teacher_disagreement_score":0.01013153,"about_ca_system_score_codex":0.0006494113,"about_ca_system_score_gemma":0.0007587463,"threshold_uncertainty_score":0.020145118},"labels":[],"label_agreement":null},{"id":"W2015498585","doi":"10.1016/j.automatica.2012.06.059","title":"Two-stage energy-optimal formation reconfiguration strategy","year":2012,"lang":"en","type":"article","venue":"Automatica","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control reconfiguration; Stage (stratigraphy); Control theory (sociology); Energy (signal processing); Computer science; Mathematics; Control (management); Geology; Artificial intelligence; Statistics; Embedded system","score_opus":0.008068543623716418,"score_gpt":0.21201537224087819,"score_spread":0.20394682861716176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015498585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095057465,0.00028281083,0.8804905,0.00035151895,0.00010201853,0.00013594372,0.00007672394,0.00039632665,0.023106718],"genre_scores_gemma":[0.9592974,0.00006282909,0.035205066,0.000068112386,0.0000147789515,0.00009654068,0.0000480139,0.000014921637,0.005192313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998005,0.00003873382,0.000009217354,0.000047530222,0.000047795224,0.000056259527],"domain_scores_gemma":[0.999884,0.000024337924,0.000017291532,0.000023538047,0.000031463038,0.000019355259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026611888,0.00081762613,0.0008562571,0.000372632,0.00049392413,0.0006347319,0.0010419164,0.00084049243,0.0034585095],"category_scores_gemma":[0.00037451633,0.00032636855,0.00047422934,0.00034899497,0.00042018728,0.00062817754,0.0011858755,0.00039137877,0.00033634988],"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":[0.0008239351,0.00017154006,0.0007279826,0.00021627014,0.00012312646,0.0003998429,0.00017891283,0.83308685,0.0345753,0.017878557,0.00257891,0.1092388],"study_design_scores_gemma":[0.000103123624,0.00019908675,0.00042468938,0.0000061506294,0.000025187654,0.000102665654,0.000024076116,0.9913181,0.0030196144,0.0041119955,0.0006444326,0.000020859086],"about_ca_topic_score_codex":0.0014255457,"about_ca_topic_score_gemma":0.0018272793,"teacher_disagreement_score":0.0034585095,"about_ca_system_score_codex":0.00044377608,"about_ca_system_score_gemma":0.00058832945,"threshold_uncertainty_score":0.011569858},"labels":[],"label_agreement":null},{"id":"W2015546704","doi":"10.1016/j.automatica.2014.05.017","title":"Strategic price subsidies for new technologies","year":2014,"lang":"en","type":"article","venue":"Automatica","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Higher Education Commission, Pakistan","keywords":"Subsidy; Economics; Budget constraint; Microeconomics; Point (geometry); Government budget; Industrial organization; Macroeconomics; Public finance; Market economy; Mathematics","score_opus":0.16283022383360585,"score_gpt":0.3751157986791983,"score_spread":0.21228557484559246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015546704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40417886,0.004020973,0.16650802,0.022472095,0.0029315033,0.00031565133,0.0012126387,0.001545633,0.39681458],"genre_scores_gemma":[0.9781405,0.00041645623,0.004731367,0.0005185694,0.00028421546,0.000042805525,0.00010572789,0.000033622484,0.015726842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840957,0.0003822257,0.000052364543,0.00018218029,0.0006948478,0.00027886545],"domain_scores_gemma":[0.99386543,0.003744559,0.00054461946,0.00066204055,0.00083801063,0.00034534922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022180132,0.00043783122,0.0006923262,0.0009188386,0.0007443843,0.0029651073,0.0008379603,0.0029438972,0.025697568],"category_scores_gemma":[0.01870681,0.00037536488,0.00059999945,0.0008378357,0.0008487967,0.0029272984,0.0009973244,0.0024994726,0.0017834702],"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":[0.00050523126,0.00036662866,0.005083244,0.00035405648,0.00010272088,0.00029543534,0.00018302043,0.030820837,0.0059346454,0.7326521,0.036861222,0.18684079],"study_design_scores_gemma":[0.0004016449,0.00040065523,0.012313899,0.00012949693,0.00014470336,0.00036053624,0.00027596924,0.1808301,0.0048702112,0.7331309,0.06706103,0.000080939484],"about_ca_topic_score_codex":0.0018549177,"about_ca_topic_score_gemma":0.0035507393,"teacher_disagreement_score":0.025697568,"about_ca_system_score_codex":0.0017993734,"about_ca_system_score_gemma":0.0024482114,"threshold_uncertainty_score":0.085966885},"labels":[],"label_agreement":null},{"id":"W2015569921","doi":"10.1016/j.automatica.2013.10.005","title":"Event-triggered maximum likelihood state estimation","year":2013,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":180,"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 Alberta","funders":"","keywords":"Kalman filter; Estimator; Parameterized complexity; Control theory (sociology); Mathematics; Riccati equation; LTI system theory; Moving horizon estimation; Event (particle physics); Estimation theory; Maximum likelihood; Mathematical optimization; Maximum likelihood sequence estimation; Computer science; Extended Kalman filter; Applied mathematics; Linear system; Algorithm; Statistics; Partial differential equation; Control (management); Artificial intelligence","score_opus":0.0037009519284555864,"score_gpt":0.19845334205934995,"score_spread":0.19475239013089435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015569921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017039014,0.000100931444,0.98050755,0.00013070433,0.000035514604,0.00003296168,0.00010156874,0.0010695297,0.0009821578],"genre_scores_gemma":[0.90406495,0.00006918245,0.09328379,0.0000946008,0.00004239477,0.00007576788,0.00035655833,0.000121923746,0.0018908707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915576,0.00028297707,0.000050666713,0.00022143696,0.0001998632,0.00008940013],"domain_scores_gemma":[0.99615127,0.0030045477,0.00024663444,0.0002745325,0.00024197157,0.00008100628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014044102,0.0008735271,0.0012487706,0.0004924766,0.00038933428,0.001133866,0.0015408722,0.0013109142,0.003484749],"category_scores_gemma":[0.0071211895,0.00060626573,0.00059380574,0.0005501935,0.00056838384,0.0014588402,0.0017207733,0.0014054499,0.0007244332],"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":[0.0019441873,0.00025527517,0.003229753,0.00024145331,0.00018454873,0.0005607034,0.00018542798,0.78850436,0.013897841,0.017452683,0.0029694973,0.1705742],"study_design_scores_gemma":[0.000017423703,0.00002020323,0.00027970865,0.000003443058,0.0000050247395,0.000029781146,0.000003792543,0.99403137,0.0018344185,0.0036111767,0.00015697745,0.0000066933844],"about_ca_topic_score_codex":0.0015133346,"about_ca_topic_score_gemma":0.0017880262,"teacher_disagreement_score":0.003484749,"about_ca_system_score_codex":0.00041824454,"about_ca_system_score_gemma":0.0007177845,"threshold_uncertainty_score":0.011657655},"labels":[],"label_agreement":null},{"id":"W2020652262","doi":"10.1016/j.automatica.2013.06.011","title":"On optimal policies for control and estimation over a Gaussian relay channel","year":2013,"lang":"en","type":"article","venue":"Automatica","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Seventh Framework Programme; European Commission","keywords":"Relay; Channel (broadcasting); Control theory (sociology); Gaussian; Estimation; Control (management); Computer science; Optimal control; Linear-quadratic-Gaussian control; Mathematical optimization; Mathematics; Engineering; Telecommunications; Artificial intelligence; Physics","score_opus":0.01777633166114852,"score_gpt":0.2757596521927528,"score_spread":0.2579833205316043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020652262","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016559476,0.0014591711,0.9733655,0.0015179164,0.0002104469,0.00009715661,0.00017523099,0.00012984277,0.0064852755],"genre_scores_gemma":[0.83306855,0.005324379,0.14552924,0.001003134,0.0007582277,0.0006225465,0.0004874806,0.00031772951,0.012888801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961075,0.0018316509,0.0001950994,0.0005896787,0.000703729,0.00057231996],"domain_scores_gemma":[0.9759567,0.020687222,0.00078131526,0.0007057471,0.0013964494,0.00047254568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076107155,0.0032769612,0.004015998,0.0024386994,0.0013219223,0.0035270734,0.0025093714,0.004449522,0.004489872],"category_scores_gemma":[0.029075634,0.0018431707,0.0014503062,0.0026331937,0.0057231225,0.0047167796,0.005231923,0.0038375456,0.00048024664],"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":[0.00018290535,0.000062127176,0.00030311517,0.00013154579,0.000065819804,0.000099139856,0.0001877048,0.8091746,0.000502837,0.17592837,0.001914579,0.011447262],"study_design_scores_gemma":[0.000035655703,0.000029621928,0.00007503935,0.000032992746,0.000014437387,0.0000179627,0.00003282033,0.913401,0.00018108048,0.085775636,0.00038546615,0.000018292421],"about_ca_topic_score_codex":0.016141366,"about_ca_topic_score_gemma":0.0077363066,"teacher_disagreement_score":0.016141366,"about_ca_system_score_codex":0.004941869,"about_ca_system_score_gemma":0.0049638203,"threshold_uncertainty_score":0.040249765},"labels":[],"label_agreement":null},{"id":"W2023384722","doi":"10.1016/j.automatica.2015.02.035","title":"Flow functions, control flow functions, and the reach control problem","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polytope; Mathematics; Lyapunov function; Flow (mathematics); Affine transformation; Scalar (mathematics); Piecewise; State space; State (computer science); Function (biology); Control theory (sociology); Applied mathematics; Mathematical optimization; Control (management); Computer science; Mathematical analysis; Discrete mathematics; Pure mathematics; Algorithm; Nonlinear system; Geometry","score_opus":0.005521658670832954,"score_gpt":0.18389207693008772,"score_spread":0.17837041825925476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023384722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08491578,0.003112094,0.86642766,0.0042304704,0.00016847857,0.000094853465,0.00033438977,0.00018448565,0.040531743],"genre_scores_gemma":[0.9058362,0.0038115762,0.058954686,0.00046106635,0.0003269126,0.0003352938,0.0003607821,0.00016873286,0.029744785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994444,0.0002727235,0.000013401113,0.00007122014,0.00011691498,0.000081342856],"domain_scores_gemma":[0.99801993,0.001400956,0.00021489183,0.000054511493,0.00015429722,0.00015547135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019580538,0.001209633,0.0011902178,0.001562403,0.00093768624,0.002148206,0.0010243694,0.0021356673,0.0064361626],"category_scores_gemma":[0.007260014,0.0006441778,0.0008123244,0.0016197436,0.0028711243,0.0044633597,0.0021865924,0.001990851,0.00035130174],"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":[0.000133899,0.00006708112,0.00038344067,0.00012411535,0.000026625426,0.00005164462,0.00007846677,0.29511458,0.00044089326,0.68257177,0.0028491004,0.018158332],"study_design_scores_gemma":[0.000032348147,0.000041469426,0.00022619408,0.000031648146,0.000010956567,0.000020865626,0.00004896303,0.40210214,0.00012475396,0.59583104,0.0015157298,0.000013848537],"about_ca_topic_score_codex":0.006182159,"about_ca_topic_score_gemma":0.0027833553,"teacher_disagreement_score":0.0064361626,"about_ca_system_score_codex":0.001591767,"about_ca_system_score_gemma":0.0018890538,"threshold_uncertainty_score":0.021531105},"labels":[],"label_agreement":null},{"id":"W2023683113","doi":"10.1016/j.automatica.2008.07.010","title":"Experience-consistent modeling: Regression and classification problems","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":3,"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 Alberta","funders":"","keywords":"Regression; Regression analysis; Computer science; Econometrics; Mathematics; Statistics","score_opus":0.07952636708770153,"score_gpt":0.2569148717365534,"score_spread":0.1773885046488519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023683113","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027473075,0.002929853,0.9648358,0.0027150852,0.00011187594,0.000053876058,0.00022955275,0.00015526183,0.0014955614],"genre_scores_gemma":[0.8107225,0.005587082,0.17138773,0.00085829775,0.00143981,0.00048561295,0.0011623737,0.00014429192,0.008212315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99503577,0.0027153268,0.00020684814,0.0011910766,0.000615219,0.0002357021],"domain_scores_gemma":[0.9549206,0.037838902,0.0025990189,0.0024678423,0.0015820126,0.00059172773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011114159,0.001473475,0.0036215563,0.0015265703,0.0007402397,0.0032048041,0.0042474256,0.004684436,0.0035143492],"category_scores_gemma":[0.06039465,0.0011613325,0.0019418824,0.0029626035,0.003073724,0.0068628746,0.0021381686,0.004591627,0.0005916906],"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":[0.000413866,0.0004129704,0.008978889,0.0005220306,0.00045125964,0.0005092175,0.0005209553,0.45619056,0.00063382817,0.35236245,0.008501192,0.17050277],"study_design_scores_gemma":[0.000041323157,0.00005286129,0.0006938215,0.000039563234,0.000040665243,0.0000753509,0.00003702683,0.76941866,0.00015609527,0.22848518,0.0009355263,0.00002392082],"about_ca_topic_score_codex":0.0053209155,"about_ca_topic_score_gemma":0.0034780507,"teacher_disagreement_score":0.011114159,"about_ca_system_score_codex":0.0014237766,"about_ca_system_score_gemma":0.0012393261,"threshold_uncertainty_score":0.058778048},"labels":[],"label_agreement":null},{"id":"W2026298324","doi":"10.1016/j.automatica.2007.10.007","title":"Cross-estimator design for coordinated systems: Constraints, covariance, and communications resource assignment","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":6,"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 British Columbia","funders":"","keywords":"Covariance; Estimator; Computer science; Mathematical optimization; Resource (disambiguation); Mathematics; Statistics; Computer network","score_opus":0.042872335424401393,"score_gpt":0.2629514977712355,"score_spread":0.2200791623468341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026298324","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045543294,0.00016021395,0.994649,0.00006899738,0.000020837364,0.0000119797405,0.000014724643,0.00006652286,0.00045349755],"genre_scores_gemma":[0.75240165,0.0006273278,0.24287705,0.00032109584,0.00023058578,0.00026317453,0.0003144942,0.00020068385,0.0027638737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99721295,0.0012760963,0.00015347506,0.00050398486,0.0006087157,0.0002446922],"domain_scores_gemma":[0.99291104,0.0039736778,0.00065197836,0.00050644414,0.0017948131,0.0001621477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055422373,0.0013043663,0.0018036093,0.0008439763,0.0007489877,0.0021125437,0.0012523243,0.0016127564,0.002313871],"category_scores_gemma":[0.015503626,0.0011547232,0.00069579686,0.00096745125,0.00096949004,0.0022713135,0.0019133886,0.001496094,0.0005344776],"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":[0.00032443146,0.00009579403,0.0012798619,0.00019311014,0.00023460756,0.000061424646,0.00016044517,0.88891566,0.0039066076,0.023273578,0.0015798293,0.07997469],"study_design_scores_gemma":[0.000038875667,0.00012185168,0.00035078742,0.000020566002,0.00004600641,0.000037729318,0.000016695567,0.9923626,0.0020453467,0.0042693233,0.0006715813,0.0000186144],"about_ca_topic_score_codex":0.0028519512,"about_ca_topic_score_gemma":0.003166396,"teacher_disagreement_score":0.0055422373,"about_ca_system_score_codex":0.0006444633,"about_ca_system_score_gemma":0.0021695287,"threshold_uncertainty_score":0.029310465},"labels":[],"label_agreement":null},{"id":"W2026562287","doi":"10.1016/j.automatica.2004.03.021","title":"Nonlinear tension observers for web machines","year":2004,"lang":"en","type":"article","venue":"Automatica","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":49,"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 Alberta","funders":"","keywords":"Nonlinear system; Tension (geology); Estimator; Control theory (sociology); Computer science; Observer (physics); Measure (data warehouse); Control engineering; Engineering; Mathematics; Artificial intelligence; Data mining; Statistics; Compression (physics)","score_opus":0.009271769435401549,"score_gpt":0.22340443462369106,"score_spread":0.2141326651882895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026562287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059302434,0.00030511434,0.9328583,0.00020041244,0.00011192034,0.000021156762,0.000024018376,0.00024175877,0.0069348495],"genre_scores_gemma":[0.9648082,0.00021155742,0.022749892,0.000059249258,0.000050084524,0.00005784022,0.000046418914,0.000036844947,0.011980019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998522,0.00003386721,0.0000070487613,0.00003182055,0.000052116637,0.000023031249],"domain_scores_gemma":[0.9995578,0.00014820835,0.0000857944,0.000049799248,0.0001302749,0.000028121876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029125842,0.00032969855,0.00041647343,0.00023652134,0.00021970269,0.00056686817,0.00051253435,0.00076011044,0.002414245],"category_scores_gemma":[0.0014194788,0.00018466954,0.00020271327,0.00014997034,0.000449111,0.0008915238,0.000878573,0.00078434416,0.00042951546],"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":[0.0007855427,0.00017988968,0.0011980209,0.00037893065,0.000061262814,0.0002755335,0.00044370722,0.5230182,0.09947608,0.118785255,0.005854185,0.2495434],"study_design_scores_gemma":[0.000012744643,0.000041772655,0.00023208061,0.0000064719025,0.0000042652014,0.000014519362,0.000019521825,0.9871181,0.0016547644,0.009974393,0.00091492076,0.000006346029],"about_ca_topic_score_codex":0.0013183898,"about_ca_topic_score_gemma":0.0012158105,"teacher_disagreement_score":0.002414245,"about_ca_system_score_codex":0.00036497068,"about_ca_system_score_gemma":0.0001873528,"threshold_uncertainty_score":0.008076489},"labels":[],"label_agreement":null},{"id":"W2026586100","doi":"10.1016/j.automatica.2011.03.014","title":"Solving a modified consensus problem of linear multi-agent systems","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":89,"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 Saskatchewan","funders":"","keywords":"Consensus; Multi-agent system; Matrix (chemical analysis); State (computer science); Protocol (science); Mathematics; Linear system; Directed graph; State-transition matrix; Network topology; Mathematical optimization; Graph; Control theory (sociology); Laplacian matrix; Spanning tree; Computer science; Topology (electrical circuits); Symmetric matrix; Algorithm; Control (management); Discrete mathematics; Artificial intelligence","score_opus":0.06412674146181026,"score_gpt":0.2562315195572753,"score_spread":0.19210477809546506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026586100","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07878952,0.0001814219,0.91684234,0.00035064277,0.00010465055,0.00007377326,0.000031598913,0.0001252692,0.0035007526],"genre_scores_gemma":[0.8702445,0.00011916199,0.12370462,0.0001094005,0.00009005736,0.0001475349,0.00008662119,0.00005885493,0.0054391753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993393,0.00025522374,0.000034364242,0.00018766901,0.00011571527,0.0000678494],"domain_scores_gemma":[0.99823594,0.0011197235,0.00016599092,0.00013409613,0.00025573044,0.000088506284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269405,0.00073852355,0.0012546399,0.0003530663,0.00045604195,0.00085130066,0.0013898317,0.0019015381,0.0025192783],"category_scores_gemma":[0.004736877,0.00041294628,0.0005507494,0.0003989432,0.0006742988,0.0012959767,0.0013481338,0.0011092732,0.0002460817],"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":[0.00014554874,0.00006022494,0.00030992762,0.00012953336,0.00007036297,0.00012385174,0.00009058354,0.95770794,0.0037331735,0.011076323,0.00078638224,0.02576626],"study_design_scores_gemma":[0.000020731848,0.000038129197,0.00004751346,0.0000021942967,0.0000067942924,0.000009027281,0.000011474749,0.995184,0.0003790582,0.0041185915,0.0001788637,0.000003643923],"about_ca_topic_score_codex":0.002206618,"about_ca_topic_score_gemma":0.0014637944,"teacher_disagreement_score":0.0025192783,"about_ca_system_score_codex":0.0004935295,"about_ca_system_score_gemma":0.00072289875,"threshold_uncertainty_score":0.008427858},"labels":[],"label_agreement":null},{"id":"W2027255096","doi":"10.1016/j.automatica.2012.10.003","title":"Dissipativity of nonlinear multirate sampled-data systems under emulation design","year":2012,"lang":"en","type":"article","venue":"Automatica","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":21,"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 Alberta","funders":"","keywords":"Emulation; Control theory (sociology); Nonlinear system; Controller (irrigation); Sampled data systems; Scheme (mathematics); Dissipation; Sampling (signal processing); Computer science; Digital control; Control (management); Control engineering; Mathematics; Control system; Engineering; Electronic engineering; Filter (signal processing)","score_opus":0.06542646397910373,"score_gpt":0.27322351014228186,"score_spread":0.20779704616317812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027255096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10780878,0.00020464609,0.8869721,0.00027638566,0.00005475154,0.000041327803,0.00005398742,0.00008480407,0.0045031523],"genre_scores_gemma":[0.9877484,0.00012859295,0.00978263,0.000044078082,0.000024195031,0.000056650464,0.000029768262,0.000018729648,0.0021670933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907863,0.00036962784,0.0000656688,0.00016763646,0.00021837991,0.00010002224],"domain_scores_gemma":[0.9978047,0.0011060606,0.00037201817,0.00020252893,0.00044665262,0.00006798131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023697894,0.0006481879,0.0007975948,0.00037317324,0.00040361253,0.0017609735,0.00067779794,0.0006542952,0.0014507517],"category_scores_gemma":[0.00588713,0.00032893967,0.00059682375,0.00020615182,0.0013788647,0.0013657972,0.0015250331,0.00069648057,0.00012063583],"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":[0.00057213294,0.00009647804,0.0016925328,0.000294726,0.00015966497,0.00030100966,0.00038864306,0.72948635,0.021216625,0.22217956,0.0004941511,0.023118084],"study_design_scores_gemma":[0.000009121617,0.000052687687,0.00018429909,0.00000801399,0.000013040395,0.00002072908,0.00001449496,0.98839754,0.001691755,0.009489827,0.000110462504,0.000008027765],"about_ca_topic_score_codex":0.0008582008,"about_ca_topic_score_gemma":0.0006395272,"teacher_disagreement_score":0.0023697894,"about_ca_system_score_codex":0.00074455945,"about_ca_system_score_gemma":0.0007194894,"threshold_uncertainty_score":0.01253283},"labels":[],"label_agreement":null},{"id":"W2028641788","doi":"10.1016/j.automatica.2003.07.011","title":"Analysis of the Kalman filter based estimation algorithm: an orthogonal decomposition approach","year":2003,"lang":"en","type":"article","venue":"Automatica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Kalman filter; Covariance intersection; Algorithm; Subspace topology; Covariance matrix; Mathematics; Covariance; Extended Kalman filter; Orthogonal matrix; Decomposition; Fast Kalman filter; Matrix (chemical analysis); Tracking (education); Invariant extended Kalman filter; Control theory (sociology); Computer science; Mathematical optimization; Artificial intelligence; Orthogonal basis; Statistics","score_opus":0.014088080466896604,"score_gpt":0.261488105443886,"score_spread":0.2474000249769894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028641788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029218262,0.00033368682,0.99540305,0.000082136445,0.000030375042,0.0000103414095,0.00002051534,0.00005217968,0.0011458464],"genre_scores_gemma":[0.43211955,0.0033154453,0.5539126,0.00015711984,0.00028593096,0.00026065437,0.0005723857,0.00037511025,0.009001294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912304,0.0002471221,0.000051159524,0.000112930764,0.00040325557,0.00006236201],"domain_scores_gemma":[0.9977355,0.0013224786,0.0001680043,0.0001375448,0.0006101291,0.000026188298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019529373,0.000712739,0.00074178365,0.00073181256,0.00035330674,0.0011083917,0.0006829538,0.0007188188,0.0032514604],"category_scores_gemma":[0.007415477,0.000507579,0.00073680974,0.00091204734,0.0005406708,0.0019940112,0.0008468667,0.0011889538,0.000835585],"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":[0.00009997771,0.00005193839,0.0010531194,0.00021978562,0.000098396355,0.00008217443,0.000109988076,0.62805265,0.0051773717,0.15699023,0.0024897363,0.20557457],"study_design_scores_gemma":[0.000003251603,0.000013796749,0.00029692907,0.000013040407,0.000010438804,0.000029128663,0.0000067619453,0.98800826,0.0007678777,0.009877057,0.0009622847,0.000011099572],"about_ca_topic_score_codex":0.003837227,"about_ca_topic_score_gemma":0.0020768256,"teacher_disagreement_score":0.003837227,"about_ca_system_score_codex":0.0006000549,"about_ca_system_score_gemma":0.0012349748,"threshold_uncertainty_score":0.010877252},"labels":[],"label_agreement":null},{"id":"W2028741162","doi":"10.1016/j.automatica.2012.02.033","title":"A generalized framework for robust nonlinear <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si3.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> filtering of Lipschitz descriptor systems with parametric and nonlinear uncertainties","year":2012,"lang":"lv","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":74,"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 Alberta","funders":"","keywords":"Lipschitz continuity; Nonlinear system; Robustness (evolution); Mathematics; Parametric statistics; Norm (philosophy); Applied mathematics; Control theory (sociology); Filter (signal processing); Bounded function; Robust control; Semidefinite programming; Computer science; Mathematical optimization; Mathematical analysis; Physics; Artificial intelligence; Statistics","score_opus":0.02120444552588709,"score_gpt":0.23536532371708113,"score_spread":0.21416087819119403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028741162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00073680934,0.0001880199,0.9973748,0.00005951417,0.000029733297,0.000013950316,0.00003010617,0.000064414744,0.001502719],"genre_scores_gemma":[0.26798916,0.001961899,0.70697314,0.0002927855,0.00047537897,0.00038627847,0.0005785202,0.0002744423,0.021068443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990146,0.00030650818,0.0000590148,0.00023812788,0.00030676843,0.000074846415],"domain_scores_gemma":[0.99938655,0.00017888138,0.000076234996,0.00014089172,0.0001708499,0.000046557143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018100067,0.0011527351,0.0010315276,0.00082243414,0.00047474136,0.0017392361,0.0018581013,0.0012592028,0.0044611483],"category_scores_gemma":[0.002011637,0.00038040767,0.0017690698,0.0007646716,0.0012059491,0.0016882265,0.0022602407,0.0019082787,0.0014145155],"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":[0.000069871545,0.000035182136,0.00020737627,0.00023663066,0.0001058088,0.0002033606,0.00015414644,0.23733327,0.006981154,0.6935632,0.003107602,0.058002364],"study_design_scores_gemma":[0.00001718411,0.00012418178,0.00013718089,0.000039677292,0.000041766772,0.00008578865,0.000036287496,0.84580433,0.0011578033,0.13797463,0.014552409,0.000028725104],"about_ca_topic_score_codex":0.003987649,"about_ca_topic_score_gemma":0.004989821,"teacher_disagreement_score":0.0044611483,"about_ca_system_score_codex":0.0011514028,"about_ca_system_score_gemma":0.0014436645,"threshold_uncertainty_score":0.01492399},"labels":[],"label_agreement":null},{"id":"W2028875588","doi":"10.1016/j.automatica.2007.06.023","title":"Further results on adaptive iterative learning control of robot manipulators","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Tracking error; A priori and a posteriori; Controller (irrigation); Revolute joint; Robot; Convergence (economics); Computer science; Mathematics; Control engineering; Artificial intelligence; Control (management); Engineering","score_opus":0.00980276965030569,"score_gpt":0.22448450295184463,"score_spread":0.21468173330153895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028875588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01425447,0.002111759,0.95206296,0.0006489864,0.00040262178,0.000048497306,0.000040087103,0.00030616415,0.030124474],"genre_scores_gemma":[0.63890475,0.006268818,0.2907501,0.0011292043,0.0013865713,0.00028487397,0.00030357955,0.00041224883,0.06055983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955136,0.00009122011,0.000024544348,0.00006982146,0.00021988584,0.000043173895],"domain_scores_gemma":[0.9989936,0.00057133706,0.000058627513,0.00012229677,0.0002101477,0.00004403066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481664,0.0009831149,0.0006244146,0.0007070336,0.000450707,0.0007486252,0.0010419273,0.0008856497,0.008717568],"category_scores_gemma":[0.0038187706,0.00025687146,0.0010624501,0.0007282426,0.00101663,0.001378463,0.0012121801,0.001971996,0.0009247401],"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":[0.00025242224,0.00020685104,0.00048374795,0.00085161964,0.00016372176,0.00033848317,0.0005732327,0.29247245,0.029208394,0.3343403,0.008208554,0.33290014],"study_design_scores_gemma":[0.000050732728,0.00019520143,0.0005225779,0.00008582595,0.00005848173,0.00013693004,0.000051005467,0.7120592,0.009176634,0.26090956,0.016708292,0.000045560308],"about_ca_topic_score_codex":0.001691771,"about_ca_topic_score_gemma":0.0013787164,"teacher_disagreement_score":0.008717568,"about_ca_system_score_codex":0.00042902053,"about_ca_system_score_gemma":0.00045329114,"threshold_uncertainty_score":0.029163182},"labels":[],"label_agreement":null},{"id":"W2029399628","doi":"10.1016/j.automatica.2008.03.009","title":"Delay-range-dependent control synthesis for time-delay systems with actuator saturation","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Actuator; Time domain; Saturation (graph theory); Range (aeronautics); Controller (irrigation); Upper and lower bounds; Mathematics; Computer science; Control (management); Engineering; Mathematical analysis","score_opus":0.007742349735436343,"score_gpt":0.1848988685705638,"score_spread":0.17715651883512748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029399628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030910991,0.00043596083,0.9619648,0.000106467895,0.00007698924,0.000040815903,0.000028619748,0.0001933078,0.0062420345],"genre_scores_gemma":[0.9540296,0.00029145702,0.04304257,0.000056694647,0.000032233038,0.000099641125,0.000051662137,0.000021245029,0.0023748486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99983704,0.000027710636,0.000012194534,0.00004068859,0.00006111017,0.000021240241],"domain_scores_gemma":[0.99970967,0.00013425313,0.000052969852,0.000024496574,0.00006742616,0.000011196252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034771024,0.00060428074,0.00042181447,0.00022712478,0.00036252823,0.0006003226,0.00044163736,0.0004185969,0.0017574915],"category_scores_gemma":[0.0009885898,0.00030388148,0.0003737338,0.00022004127,0.0003719362,0.0004234506,0.0005158984,0.00046304517,0.00022683045],"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":[0.00026829346,0.000077330995,0.0003359256,0.00053572305,0.000067437846,0.00025192555,0.00038495788,0.78464943,0.07757496,0.034478176,0.0009967124,0.10037912],"study_design_scores_gemma":[0.000025630667,0.00011409557,0.00011734366,0.000016757062,0.00001728594,0.000030505254,0.000017562774,0.98510414,0.009352171,0.003926905,0.0012672893,0.000010306738],"about_ca_topic_score_codex":0.0015529719,"about_ca_topic_score_gemma":0.0020658781,"teacher_disagreement_score":0.0017574915,"about_ca_system_score_codex":0.00038153626,"about_ca_system_score_gemma":0.0004677831,"threshold_uncertainty_score":0.005879402},"labels":[],"label_agreement":null},{"id":"W2029646873","doi":"10.1016/j.automatica.2009.01.002","title":"Overlapping control systems with optimal information exchange","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bipartite graph; Control theory (sociology); Decentralised system; Simple (philosophy); Controller (irrigation); Invariant (physics); LTI system theory; Mathematics; Information exchange; Information flow; Information structure; Observable; Mathematical optimization; Control (management); Linear system; Computer science; Graph; Discrete mathematics; Artificial intelligence","score_opus":0.004346392074501088,"score_gpt":0.17659883689853118,"score_spread":0.1722524448240301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029646873","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09187185,0.00064926466,0.8908281,0.00047583078,0.00015341023,0.00009770962,0.0001254004,0.0003077044,0.01549074],"genre_scores_gemma":[0.9768967,0.00017811955,0.019117743,0.00006200324,0.000063683154,0.00011966766,0.00005197311,0.00001607094,0.0034940266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980647,0.0005301201,0.00012589492,0.0003938125,0.00048562494,0.0003997935],"domain_scores_gemma":[0.9969632,0.0015236479,0.00050319673,0.00040691046,0.0004417249,0.0001612174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017239397,0.0011904128,0.0019047871,0.0006978638,0.0011022798,0.002343061,0.001678972,0.0015755788,0.003224752],"category_scores_gemma":[0.0056911935,0.00062978046,0.0006286846,0.0009867868,0.0018112237,0.0020670148,0.0029373388,0.001086559,0.0003571783],"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":[0.00064517773,0.000106473766,0.00041666973,0.00015771034,0.00008213568,0.00027666942,0.000330556,0.7846986,0.0032984447,0.16633818,0.0011591292,0.042490173],"study_design_scores_gemma":[0.00006945793,0.00009478458,0.00016999149,0.000009902405,0.000025150719,0.00003879156,0.000026421323,0.9568428,0.00063572574,0.04134829,0.0007176778,0.00002097975],"about_ca_topic_score_codex":0.0038202314,"about_ca_topic_score_gemma":0.0019093187,"teacher_disagreement_score":0.0038202314,"about_ca_system_score_codex":0.0011585023,"about_ca_system_score_gemma":0.0012666911,"threshold_uncertainty_score":0.010787904},"labels":[],"label_agreement":null},{"id":"W2031729762","doi":"10.1016/j.automatica.2007.09.005","title":"Stabilization of decentralized control systems by means of periodic feedback","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Quotient; LTI system theory; Mathematics; Decentralised system; Observable; Sampling (signal processing); Controller (irrigation); Discrete time and continuous time; Control system; Mode (computer interface); Linear system; Control (management); Computer science; Engineering; Pure mathematics; Mathematical analysis; Physics","score_opus":0.007866528042605035,"score_gpt":0.23055450573193345,"score_spread":0.2226879776893284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031729762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.122729845,0.00042299717,0.8647758,0.00021655904,0.0001540737,0.00003519506,0.00003291261,0.00047547944,0.0111571355],"genre_scores_gemma":[0.98345137,0.00012426416,0.014329854,0.000022461038,0.0000428172,0.000050975545,0.000021461454,0.000016309863,0.0019406244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998473,0.000045922025,0.0000062705176,0.000033905922,0.00004525338,0.000021230291],"domain_scores_gemma":[0.99976677,0.00008433399,0.000048158265,0.00003610067,0.000052418978,0.000012213415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028525727,0.0003818903,0.00037491514,0.00019363107,0.00032373078,0.00036550727,0.00043560672,0.00031829256,0.0013962089],"category_scores_gemma":[0.00095949316,0.00016120404,0.00022379545,0.00012089195,0.0004560676,0.00032163947,0.00053164875,0.00030204907,0.00016017977],"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":[0.0006104732,0.00010442307,0.00083546224,0.00027045148,0.00009827487,0.00043633152,0.00029807797,0.65555155,0.06498963,0.13178274,0.0030777722,0.14194477],"study_design_scores_gemma":[0.000058792695,0.00020791308,0.00038483445,0.000010638415,0.000019950186,0.0000684621,0.000016584458,0.9652919,0.0055243196,0.027038908,0.0013686258,0.000009094608],"about_ca_topic_score_codex":0.00034658634,"about_ca_topic_score_gemma":0.00031084454,"teacher_disagreement_score":0.0013962089,"about_ca_system_score_codex":0.00017541459,"about_ca_system_score_gemma":0.0002425712,"threshold_uncertainty_score":0.004670799},"labels":[],"label_agreement":null},{"id":"W2033656162","doi":"10.1016/j.automatica.2006.06.023","title":"Trajectory tracking of leader–follower formations characterized by constant line-of-sight angles","year":2006,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; McGill University; Defence Research and Development Canada","funders":"","keywords":"Control theory (sociology); Mathematics; Jacobian matrix and determinant; Kinematics; Nonlinear system; Computer science; Applied mathematics; Control (management)","score_opus":0.01427781561536468,"score_gpt":0.22785223956535963,"score_spread":0.21357442394999496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033656162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6980919,0.00028606452,0.29776224,0.00015964416,0.000022231683,0.00004237122,0.00013274417,0.00017087885,0.0033319187],"genre_scores_gemma":[0.9943963,0.00006700483,0.004595967,0.0000047637877,0.0000045756833,0.000008418811,0.000077071425,0.00000615378,0.0008397671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985254,0.000043153148,0.0000059359545,0.00003486087,0.00003551618,0.000027926355],"domain_scores_gemma":[0.99865544,0.00058310817,0.00044074547,0.00007618213,0.00016166484,0.00008280493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057001953,0.0003719724,0.00035628624,0.00049859623,0.0002968968,0.00051859475,0.0005226334,0.0005585214,0.000499461],"category_scores_gemma":[0.0031538727,0.00030979986,0.00021694745,0.00044111625,0.00054526236,0.0006009298,0.0005123219,0.00036117595,0.00011307824],"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":[0.00017587516,0.000022227583,0.0022751938,0.000020857475,0.000021793714,0.00008449928,0.000081090846,0.98489237,0.0017402071,0.0043007517,0.00023331092,0.0061517735],"study_design_scores_gemma":[0.0000104019855,0.000026191372,0.00054342835,0.0000014743476,0.0000035191595,0.000010985963,0.000013346317,0.9978859,0.0003225429,0.0011174873,0.00006176444,0.0000029580078],"about_ca_topic_score_codex":0.0063847047,"about_ca_topic_score_gemma":0.0038717126,"teacher_disagreement_score":0.0063847047,"about_ca_system_score_codex":0.0005410381,"about_ca_system_score_gemma":0.00039784575,"threshold_uncertainty_score":0.012695074},"labels":[],"label_agreement":null},{"id":"W2034114456","doi":"10.1016/j.automatica.2008.04.016","title":"Optimal consensus algorithms for cooperative team of agents subject to partial information","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Robustness (evolution); Computer science; Adaptability; Multi-agent system; Minification; Fault tolerance; Information exchange; Consensus algorithm; Mathematical optimization; Control (management); Control theory (sociology); Distributed computing; Algorithm; Mathematics; Artificial intelligence; Economics","score_opus":0.03212601730101935,"score_gpt":0.28064173251831354,"score_spread":0.24851571521729418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034114456","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044828236,0.00025088654,0.95113367,0.00032512823,0.000050108403,0.00007175726,0.00004112876,0.00017147837,0.0031276073],"genre_scores_gemma":[0.87075824,0.00026914402,0.123992346,0.00014963787,0.00006704247,0.00035776212,0.00017979437,0.000082231905,0.004143807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989071,0.00037309286,0.00007777314,0.00024143884,0.00023994272,0.00016072836],"domain_scores_gemma":[0.9955161,0.0030417964,0.00043090858,0.00022489479,0.0006042925,0.00018196736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028166787,0.0011682983,0.002071497,0.0010838216,0.0010194785,0.0014604874,0.0022032084,0.0023073766,0.0019386034],"category_scores_gemma":[0.0094578415,0.0010296691,0.0007361462,0.0010291458,0.0016629589,0.0024086654,0.0030187282,0.0013779885,0.00029529983],"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":[0.00011913875,0.000036970592,0.00015709529,0.000051022434,0.000032618747,0.000025954943,0.00011424315,0.96880484,0.00044107623,0.014948202,0.0005403167,0.014728485],"study_design_scores_gemma":[0.000032890366,0.00002286015,0.000031363143,0.000003480878,0.0000062024483,0.000004088472,0.000014191616,0.98842305,0.00012910289,0.0112380255,0.0000905056,0.0000042567176],"about_ca_topic_score_codex":0.0068768794,"about_ca_topic_score_gemma":0.004102204,"teacher_disagreement_score":0.0068768794,"about_ca_system_score_codex":0.0016559298,"about_ca_system_score_gemma":0.0022968373,"threshold_uncertainty_score":0.014896214},"labels":[],"label_agreement":null},{"id":"W2034312826","doi":"10.1016/j.automatica.2012.08.044","title":"On consensus algorithms design for double integrator dynamics","year":2012,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":179,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Double integrator; Integrator; Ideal (ethics); Control theory (sociology); Consensus; Consensus algorithm; Multi-agent system; Computer science; State (computer science); Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Control (management); Law","score_opus":0.04103071042194741,"score_gpt":0.28439554467257916,"score_spread":0.24336483425063174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034312826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002889751,0.00017353799,0.9953778,0.00006378282,0.000039849918,0.000025742147,0.000007208497,0.00003933205,0.0013830208],"genre_scores_gemma":[0.5887298,0.001354901,0.3996354,0.00028259508,0.00021926113,0.00050501165,0.00014719696,0.00014261526,0.008983282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928147,0.00023210952,0.000046844034,0.00018484677,0.00020084456,0.000053960775],"domain_scores_gemma":[0.99841845,0.00096747733,0.00010130372,0.00011381142,0.00034947417,0.000049567887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017385788,0.0011600096,0.0013230949,0.0006789215,0.00073608087,0.0011857783,0.0012937007,0.0015202999,0.0030592983],"category_scores_gemma":[0.005323265,0.00051023625,0.00066776393,0.0008369688,0.00088683097,0.0017610153,0.0017605234,0.0014862544,0.00051303854],"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":[0.00013709701,0.00008348815,0.0002512234,0.00026570892,0.00006966057,0.00007836317,0.00020031206,0.83143336,0.0043895715,0.06551136,0.001484791,0.09609505],"study_design_scores_gemma":[0.000015390027,0.000058774745,0.00003458941,0.000012749246,0.000008862377,0.000014039091,0.000012412445,0.98149866,0.0006055256,0.01693978,0.0007926412,0.0000065851436],"about_ca_topic_score_codex":0.001699101,"about_ca_topic_score_gemma":0.0012347638,"teacher_disagreement_score":0.0030592983,"about_ca_system_score_codex":0.00069736055,"about_ca_system_score_gemma":0.0008927746,"threshold_uncertainty_score":0.010234356},"labels":[],"label_agreement":null},{"id":"W2036279699","doi":"10.1016/j.automatica.2005.01.005","title":"Nonsmooth Mechanics, Bernard Brogliato, Springer, New York, Heidelberg, Berlin, 1999, Communications and Control Engineering, ISBN 1-85233-143-7 124.95 Euro; 552pp.","year":2005,"lang":"en","type":"article","venue":"Automatica","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Prospecting; Borehole; Geology; Drilling; Excavation; Geophysical prospecting; Geophysics; Mining engineering; Engineering; Geotechnical engineering; Mechanical engineering","score_opus":0.011047865139933149,"score_gpt":0.19997691697227324,"score_spread":0.1889290518323401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036279699","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00248064,0.874503,0.06828555,0.007988989,0.013332256,0.00004544725,0.001148438,0.0011137476,0.031101977],"genre_scores_gemma":[0.04267749,0.6870726,0.0384155,0.0026695372,0.020938067,0.000171259,0.0019480016,0.001936545,0.20417096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956685,0.00005853759,0.00003152922,0.00015428383,0.00016251049,0.000026256617],"domain_scores_gemma":[0.9993155,0.00030790412,0.00006919606,0.0000680065,0.00016985412,0.00006955161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010598329,0.002917561,0.002314886,0.0022683588,0.0006749404,0.0016576493,0.0010774112,0.0013751725,0.021814896],"category_scores_gemma":[0.001722942,0.001331433,0.0007261086,0.0022248228,0.0011290885,0.004038607,0.001320474,0.0028672607,0.01739034],"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":[0.0002679429,0.000097658194,0.0004409836,0.0015898506,0.00012657077,0.0001854233,0.00023165205,0.004027095,0.0035343496,0.033131212,0.74356765,0.21279968],"study_design_scores_gemma":[0.000052210158,0.000112029484,0.00303723,0.0005207985,0.00009855728,0.0014844199,0.00017260856,0.009041223,0.0026634103,0.06840494,0.9143181,0.000094440904],"about_ca_topic_score_codex":0.0025543605,"about_ca_topic_score_gemma":0.0028901787,"teacher_disagreement_score":0.021814896,"about_ca_system_score_codex":0.0008811682,"about_ca_system_score_gemma":0.00045151156,"threshold_uncertainty_score":0.07297808},"labels":[],"label_agreement":null},{"id":"W2041660125","doi":"10.1016/j.automatica.2008.11.007","title":"Games with coupled propagated constraints in optical networks with multi-link topologies","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":55,"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 Toronto","funders":"","keywords":"Convexity; Network topology; Computer science; Mathematical optimization; Link (geometry); Nash equilibrium; Convergence (economics); Extension (predicate logic); Optical link; Graph; Topology (electrical circuits); Mathematics; Theoretical computer science; Telecommunications; Computer network; Optical fiber","score_opus":0.008068633447978129,"score_gpt":0.22012874467536564,"score_spread":0.21206011122738752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041660125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42026356,0.000873603,0.52072674,0.0049997675,0.00033292972,0.00030019064,0.00049844396,0.00014901755,0.051855832],"genre_scores_gemma":[0.9567087,0.00040642027,0.024565838,0.0003341496,0.0001313585,0.0002418501,0.00012848752,0.000049677616,0.017433329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982889,0.0010128396,0.000053730877,0.00016423501,0.00023319271,0.00024711515],"domain_scores_gemma":[0.98799103,0.009644747,0.00071134086,0.00027918915,0.00038631525,0.0009873414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025162545,0.0013546661,0.001924623,0.00093064725,0.0012991719,0.0031778673,0.0023866256,0.0033108837,0.0054632346],"category_scores_gemma":[0.013077997,0.0011898329,0.0009311137,0.0009380731,0.002575701,0.0046518613,0.0028637212,0.002854746,0.00024714074],"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":[0.00026141747,0.00010507666,0.00038972194,0.00010023876,0.00007796149,0.00026844474,0.0001772223,0.56490237,0.0005965314,0.42699096,0.0021418422,0.0039882115],"study_design_scores_gemma":[0.00012634684,0.000041155407,0.00010957655,0.000015701946,0.000021686898,0.000028734967,0.000060423263,0.76529026,0.00012236838,0.2334867,0.0006765797,0.000020519432],"about_ca_topic_score_codex":0.0071688946,"about_ca_topic_score_gemma":0.0081009,"teacher_disagreement_score":0.0071688946,"about_ca_system_score_codex":0.0024284811,"about_ca_system_score_gemma":0.0018038746,"threshold_uncertainty_score":0.018276393},"labels":[],"label_agreement":null},{"id":"W2042877078","doi":"10.1016/s0005-1098(01)00194-7","title":"On the linearizability of nonisothermal continuous stirred-tank reactors","year":2002,"lang":"en","type":"article","venue":"Automatica","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flatness (cosmology); Linearizability; Continuous stirred-tank reactor; Control theory (sociology); Heat transfer; Chemical reactor; Class (philosophy); Mathematics; Process engineering; Mechanics; Engineering; Thermodynamics; Computer science; Physics; Chemical engineering; Control (management); Algorithm","score_opus":0.015837839997613328,"score_gpt":0.20482645488924459,"score_spread":0.18898861489163127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042877078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25612587,0.0008436026,0.7215771,0.0011667517,0.000126565,0.000066591405,0.00010102744,0.0003978714,0.019594666],"genre_scores_gemma":[0.987653,0.00039246512,0.0060997717,0.000111693946,0.00008637906,0.00006639292,0.00006763722,0.000060556224,0.0054620905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989507,0.00033679634,0.000041189815,0.00025387504,0.00031304482,0.0001043106],"domain_scores_gemma":[0.9937499,0.00412883,0.000884202,0.00043630786,0.00065178133,0.00014895317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018845837,0.0008202036,0.0007001638,0.0006038216,0.00036403403,0.001354746,0.0008957453,0.0007023236,0.002431498],"category_scores_gemma":[0.007233346,0.00041625078,0.0005105179,0.0003855257,0.0022413565,0.0018096769,0.0017145544,0.0015121526,0.00032062794],"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":[0.00080494693,0.0002735387,0.002244636,0.00038923984,0.000120640456,0.0003948092,0.0010531719,0.4988575,0.11710474,0.3265007,0.0015961822,0.05065988],"study_design_scores_gemma":[0.00006647153,0.00029172903,0.0012112053,0.000016292704,0.00003023141,0.00006332556,0.00011651229,0.83502036,0.013856289,0.14839889,0.00089274964,0.0000359468],"about_ca_topic_score_codex":0.0014743753,"about_ca_topic_score_gemma":0.0007303516,"teacher_disagreement_score":0.002431498,"about_ca_system_score_codex":0.00059797504,"about_ca_system_score_gemma":0.00046121067,"threshold_uncertainty_score":0.009966731},"labels":[],"label_agreement":null},{"id":"W2047608312","doi":"10.1016/j.automatica.2010.06.009","title":"Stabilization of sets with application to multi-vehicle coordinated motion","year":2010,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Lyapunov function; Control theory (sociology); Control-Lyapunov function; Nonlinear system; Exponential stability; Dynamical systems theory; Lyapunov redesign; State vector; Computer science; LTI system theory; Mathematics; Linear system; Control (management); Artificial intelligence","score_opus":0.007494929443777977,"score_gpt":0.24154574888244357,"score_spread":0.2340508194386656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047608312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018792631,0.00016213003,0.97737736,0.000091098096,0.000081754086,0.000032421394,0.00002733696,0.00018683454,0.0032484399],"genre_scores_gemma":[0.82983387,0.00046823564,0.16228727,0.00007492319,0.00012768613,0.00024273958,0.00014335848,0.00014947708,0.0066724624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995912,0.00012493267,0.000023304785,0.000095892574,0.0001270163,0.000037598045],"domain_scores_gemma":[0.9990164,0.0005849044,0.00008738889,0.00007241291,0.00018289856,0.000055931556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007097273,0.000752085,0.001316727,0.001018319,0.00089055335,0.0010333483,0.0011473726,0.0011756652,0.0023711538],"category_scores_gemma":[0.00252331,0.0003511121,0.0010257888,0.0009860069,0.0010578699,0.0007601489,0.001954237,0.001208902,0.00034797454],"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":[0.0001699921,0.00006548762,0.00042672676,0.00014370562,0.00005862457,0.00012075035,0.00037045014,0.8080769,0.008559368,0.09396081,0.0013468062,0.08670036],"study_design_scores_gemma":[0.0000073855826,0.000052313248,0.00006548155,0.000007673539,0.000006995297,0.0000119146625,0.000019099918,0.97669834,0.0009765682,0.021394564,0.0007523092,0.0000073438],"about_ca_topic_score_codex":0.002448073,"about_ca_topic_score_gemma":0.0013480482,"teacher_disagreement_score":0.002448073,"about_ca_system_score_codex":0.0005565762,"about_ca_system_score_gemma":0.00041499085,"threshold_uncertainty_score":0.007932305},"labels":[],"label_agreement":null},{"id":"W2048997511","doi":"10.1016/j.automatica.2009.01.005","title":"A stability analysis with time-delay of primal–dual power control in optical links","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Optical Network Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Computer science; Stability (learning theory); Power control; Power (physics); Control (management)","score_opus":0.003717070565717748,"score_gpt":0.1939689540034019,"score_spread":0.19025188343768415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048997511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060950257,0.00065105397,0.9207473,0.00068957685,0.0001502079,0.000047761536,0.000050195154,0.000058461876,0.01665523],"genre_scores_gemma":[0.9701441,0.0004059953,0.020868834,0.00007671616,0.000088482855,0.00006442903,0.000028673625,0.000048409565,0.008274255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963355,0.00014163565,0.000011591875,0.00007382125,0.00008984786,0.00004961785],"domain_scores_gemma":[0.9988186,0.0006470248,0.00011737818,0.000053060197,0.00030438675,0.00005953607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553704,0.00081076927,0.0006037318,0.0006560983,0.00054476183,0.0017104946,0.0007884654,0.00079104933,0.0032632698],"category_scores_gemma":[0.0034667726,0.00038576577,0.00060366077,0.0004077647,0.001479809,0.001232531,0.0011859207,0.0010363361,0.00023692017],"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":[0.00033266653,0.00009201327,0.00059091725,0.00020367968,0.00008207419,0.00020720882,0.000286727,0.65274894,0.013689963,0.30648187,0.002121948,0.023162024],"study_design_scores_gemma":[0.0000055925175,0.000024000612,0.00006258196,0.0000045751003,0.000006074286,0.000013959436,0.000014275097,0.9845978,0.00050332415,0.014497928,0.0002646431,0.0000052758105],"about_ca_topic_score_codex":0.0023328797,"about_ca_topic_score_gemma":0.0010959598,"teacher_disagreement_score":0.0032632698,"about_ca_system_score_codex":0.0011962958,"about_ca_system_score_gemma":0.00086450117,"threshold_uncertainty_score":0.01091671},"labels":[],"label_agreement":null},{"id":"W2049024242","doi":"10.1016/j.automatica.2014.05.004","title":"Markovian jump guaranteed cost congestion control strategies for large scale mobile networks with differentiated services traffic","year":2014,"lang":"en","type":"article","venue":"Automatica","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Network congestion; Computer science; Markov process; Quality of service; Network traffic control; Jump; Mathematical optimization; Control (management); Computer network; Distributed computing; Control theory (sociology); Mathematics","score_opus":0.0035480493626202886,"score_gpt":0.20442591446152045,"score_spread":0.20087786509890015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049024242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08706404,0.0005289359,0.9075093,0.0004939967,0.00014036059,0.000082750616,0.00007433637,0.0003182048,0.0037880235],"genre_scores_gemma":[0.9910884,0.00010030998,0.007213742,0.00006193903,0.00003228535,0.000034219294,0.0000191315,0.000019672461,0.0014303622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991559,0.000226038,0.000035688357,0.00013760118,0.00019851509,0.00024623438],"domain_scores_gemma":[0.9974355,0.0016305528,0.00025660772,0.00011400676,0.00042810736,0.00013526944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001845756,0.0010801989,0.0012001782,0.00056003215,0.0006375466,0.0013018617,0.0016964363,0.00097161176,0.0021855598],"category_scores_gemma":[0.004519631,0.0004700159,0.00047453822,0.0006710162,0.0011878461,0.0011033714,0.001434622,0.0013796089,0.00014984011],"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":[0.00023766469,0.000080016434,0.00022681628,0.000070571245,0.000044881985,0.00006259621,0.00007180868,0.960496,0.0021161472,0.018603133,0.0010524881,0.016937932],"study_design_scores_gemma":[0.000015128985,0.000025979547,0.00004835904,0.0000021506019,0.000008230902,0.0000047086396,0.000004409408,0.9968958,0.00012862065,0.0028015922,0.00006128531,0.0000036502222],"about_ca_topic_score_codex":0.0101546645,"about_ca_topic_score_gemma":0.008194244,"teacher_disagreement_score":0.0101546645,"about_ca_system_score_codex":0.0020000888,"about_ca_system_score_gemma":0.0015833541,"threshold_uncertainty_score":0.020191133},"labels":[],"label_agreement":null},{"id":"W2054191858","doi":"10.1016/j.automatica.2013.06.023","title":"Structural controllability of multi-agent networks: Robustness against simultaneous failures","year":2013,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Controllability; Network controllability; Robustness (evolution); Digraph; Computer science; Cardinality (data modeling); Graph; Observability; Multi-agent system; Graph theory; Mathematical optimization; Distributed computing; Topology (electrical circuits); Mathematics; Theoretical computer science; Discrete mathematics; Data mining; Artificial intelligence; Applied mathematics; Betweenness centrality","score_opus":0.012027463637504059,"score_gpt":0.23030457553903952,"score_spread":0.21827711190153545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054191858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17102379,0.00029584812,0.8199995,0.0006298198,0.00009943761,0.000055409957,0.00008946898,0.00040028096,0.007406569],"genre_scores_gemma":[0.9942537,0.00012899411,0.0047653425,0.000030471847,0.000035419907,0.000040052957,0.000034392215,0.000016066573,0.0006954943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992446,0.00019652744,0.00003444613,0.0001935542,0.00021358338,0.00011731139],"domain_scores_gemma":[0.99595624,0.0019543557,0.00092181354,0.00049447466,0.0004748745,0.00019823582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009994493,0.0007130645,0.0004887839,0.0006287142,0.0005801553,0.0009906528,0.0012125531,0.0008516147,0.0016256054],"category_scores_gemma":[0.007636086,0.00032435884,0.00059057673,0.0003488887,0.001566542,0.0017157993,0.0015006412,0.0010083349,0.0001731184],"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":[0.00028828156,0.00006597515,0.0011413632,0.00016345867,0.00008085904,0.00023047606,0.00018966346,0.8516499,0.020534672,0.09247591,0.00071181654,0.0324677],"study_design_scores_gemma":[0.000031952088,0.00010641853,0.00044283707,0.000008379322,0.000021869495,0.00006918151,0.00004137128,0.9386121,0.003968319,0.0562255,0.00046243164,0.000009623795],"about_ca_topic_score_codex":0.0013969664,"about_ca_topic_score_gemma":0.00085053284,"teacher_disagreement_score":0.0016256054,"about_ca_system_score_codex":0.0005596813,"about_ca_system_score_gemma":0.0007203481,"threshold_uncertainty_score":0.005438149},"labels":[],"label_agreement":null},{"id":"W2054395524","doi":"10.1016/j.automatica.2011.08.017","title":"Ineluctability of oscillations in systems with digital implementation of derivative feedback","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Oscillation (cell signaling); Amplitude; Feedback control; Mathematics; Linear system; Self-oscillation; Physics; Upper and lower bounds; Control (management); Mathematical analysis; Computer science; Engineering; Quantum mechanics; Control engineering; Chemistry","score_opus":0.010338450407459766,"score_gpt":0.19984367353105967,"score_spread":0.1895052231235999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054395524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76545197,0.00050061004,0.22218694,0.00046613155,0.000058209735,0.00001854168,0.00006074401,0.00041258958,0.01084431],"genre_scores_gemma":[0.9970932,0.000041082458,0.0022548481,0.000014864641,0.0000044735684,0.000007287861,0.000011857072,0.000013710036,0.0005586101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997321,0.000052069492,0.000015988768,0.000039655282,0.00010656695,0.00005372164],"domain_scores_gemma":[0.99813604,0.0011354969,0.00021797966,0.00025926513,0.00019470576,0.000056473305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006301095,0.00028562575,0.0002428667,0.00031635395,0.00032238333,0.00058140437,0.00037053457,0.00044720224,0.0025353224],"category_scores_gemma":[0.0057027917,0.00016618974,0.00023606018,0.00014010955,0.00086241757,0.00053062156,0.0005498834,0.0005907419,0.00021188517],"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":[0.0020032541,0.00031530386,0.016271515,0.00073848345,0.00016915875,0.0012406755,0.0011422164,0.3253661,0.26946563,0.18003426,0.0016019546,0.20165145],"study_design_scores_gemma":[0.000073459734,0.0003433599,0.007390792,0.00005435603,0.000042032978,0.00044610066,0.00008610423,0.91462946,0.03468802,0.041291833,0.00093446585,0.000020131249],"about_ca_topic_score_codex":0.00058296305,"about_ca_topic_score_gemma":0.0005551404,"teacher_disagreement_score":0.0025353224,"about_ca_system_score_codex":0.00030019248,"about_ca_system_score_gemma":0.00027477907,"threshold_uncertainty_score":0.008481443},"labels":[],"label_agreement":null},{"id":"W2055631888","doi":"10.1016/j.automatica.2014.08.007","title":"Continuous-time norm-constrained Kalman filtering","year":2014,"lang":"en","type":"article","venue":"Automatica","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Norm (philosophy); Control theory (sociology); Mathematical optimization; Kalman filter; Mathematics; Optimization problem; Constrained optimization; Observer (physics); State (computer science); Constraint (computer-aided design); State observer; Computer science; Algorithm; Nonlinear system; Statistics","score_opus":0.0029857597940896713,"score_gpt":0.17736823054573653,"score_spread":0.17438247075164687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055631888","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025911373,0.00024146595,0.9956181,0.000073594936,0.000107430744,0.000009107295,0.000049770475,0.00024539907,0.0010640179],"genre_scores_gemma":[0.6389512,0.001553519,0.342472,0.00027940405,0.00043284436,0.00017859702,0.0012934072,0.00033900925,0.014500021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987214,0.00025160486,0.00008531833,0.00038183766,0.00046438142,0.00009526748],"domain_scores_gemma":[0.9977823,0.0008859342,0.00018515899,0.00031108235,0.00077675004,0.00005880725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113956,0.0010521946,0.0014102397,0.0005437352,0.0005946559,0.0015149047,0.0012180802,0.0010705037,0.0025671707],"category_scores_gemma":[0.0064181243,0.0004912007,0.0006455385,0.0010205455,0.0011316059,0.0020242562,0.001284633,0.0015960817,0.0010435903],"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":[0.0005909271,0.00014217499,0.00094868784,0.00037651556,0.0001863585,0.0000770672,0.00012250875,0.5656087,0.008235292,0.04547559,0.006007182,0.37222907],"study_design_scores_gemma":[0.0000120219,0.000035417157,0.00025925893,0.000012411326,0.000013339647,0.000020827203,0.00000674498,0.99005497,0.0020084186,0.0057569384,0.0018037006,0.0000160289],"about_ca_topic_score_codex":0.011462804,"about_ca_topic_score_gemma":0.008015645,"teacher_disagreement_score":0.011462804,"about_ca_system_score_codex":0.00065757567,"about_ca_system_score_gemma":0.0020572336,"threshold_uncertainty_score":0.02279216},"labels":[],"label_agreement":null},{"id":"W2055849894","doi":"10.1016/j.automatica.2015.01.024","title":"PDE backstepping control of one-dimensional heat equation with time-varying domain","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":45,"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 Alberta","funders":"","keywords":"Backstepping; Partial differential equation; Heat equation; Control theory (sociology); Parabolic partial differential equation; Mathematics; Kernel (algebra); Domain (mathematical analysis); Applied mathematics; Work (physics); Mathematical analysis; Computer science; Control (management); Adaptive control; Engineering","score_opus":0.01983419515595583,"score_gpt":0.21150987385903927,"score_spread":0.19167567870308344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055849894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19833459,0.000509506,0.78790665,0.0004135948,0.00038682937,0.00008110473,0.00006812906,0.00019360504,0.012106013],"genre_scores_gemma":[0.9850937,0.00018192244,0.009954175,0.00004095651,0.00002539693,0.000047182977,0.000034144,0.000010558833,0.0046118614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998727,0.00003326933,0.000005601813,0.000033514538,0.00003724056,0.000017745842],"domain_scores_gemma":[0.99969757,0.00014110153,0.000039917883,0.00002026394,0.00007508997,0.000026152582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003673142,0.00057088595,0.0005193311,0.00024965635,0.0003107604,0.0006749176,0.00072996295,0.00060419523,0.0012895457],"category_scores_gemma":[0.0008958158,0.0001742525,0.00045479578,0.00019552773,0.0007305215,0.00038608606,0.0008929763,0.000606158,0.000075836244],"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":[0.00029351277,0.00015647388,0.0009316874,0.00029757564,0.000074776726,0.00034651576,0.00019009656,0.90228087,0.028885944,0.033760224,0.0011911059,0.031591296],"study_design_scores_gemma":[0.000008932302,0.00004605681,0.00008192072,0.0000021108203,0.0000034932127,0.000007622678,0.0000049816363,0.99797934,0.00077355845,0.0009046199,0.00018376733,0.0000035868927],"about_ca_topic_score_codex":0.0074355593,"about_ca_topic_score_gemma":0.0036679737,"teacher_disagreement_score":0.0074355593,"about_ca_system_score_codex":0.0004362244,"about_ca_system_score_gemma":0.00064608967,"threshold_uncertainty_score":0.0147845745},"labels":[],"label_agreement":null},{"id":"W2056288278","doi":"10.1016/j.automatica.2010.01.006","title":"A Zakai equation derivation of the extended Kalman filter","year":2010,"lang":"en","type":"article","venue":"Automatica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Calgary","funders":"","keywords":"Kalman filter; Filtering problem; Mathematics; Convolution (computer science); Extended Kalman filter; Applied mathematics; Invariant extended Kalman filter; Fast Kalman filter; Filter (signal processing); Ensemble Kalman filter; Nonlinear filter; Alpha beta filter; Noise (video); Control theory (sociology); Computer science; Filter design; Moving horizon estimation; Statistics; Artificial intelligence","score_opus":0.015267859637867896,"score_gpt":0.23657079382253277,"score_spread":0.22130293418466487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056288278","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021999022,0.0016275792,0.9784775,0.0003807098,0.00044715044,0.00003317071,0.0002270381,0.00014818733,0.016458832],"genre_scores_gemma":[0.2657076,0.008533597,0.59226125,0.0008390786,0.00075826305,0.00036946754,0.001168985,0.00039332578,0.12996848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997613,0.000039006383,0.000019431369,0.00007373245,0.00008838373,0.000018159451],"domain_scores_gemma":[0.9997578,0.00004144443,0.000023951292,0.000031107746,0.00013811109,0.0000075274284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041937057,0.00046321825,0.0005586226,0.00048385415,0.00046623035,0.0009987621,0.0006110484,0.00078230526,0.0074417344],"category_scores_gemma":[0.0011055314,0.0003669102,0.000875391,0.00076673686,0.00044406785,0.0015384575,0.0009001177,0.0015321801,0.0037449969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039395552,0.0000296885,0.0008124624,0.00028621283,0.0000673991,0.000230084,0.00031328417,0.07016219,0.009393498,0.79127,0.009126963,0.11826883],"study_design_scores_gemma":[0.000026237687,0.00008581554,0.0023894208,0.00017800141,0.0001087273,0.0005502724,0.00009712218,0.5577057,0.006239901,0.28770065,0.14479132,0.0001267321],"about_ca_topic_score_codex":0.005765908,"about_ca_topic_score_gemma":0.004285906,"teacher_disagreement_score":0.0074417344,"about_ca_system_score_codex":0.0005978463,"about_ca_system_score_gemma":0.0010200527,"threshold_uncertainty_score":0.024895072},"labels":[],"label_agreement":null},{"id":"W2056615320","doi":"10.1016/j.automatica.2006.07.024","title":"Performance analysis of multi-innovation gradient type identification methods","year":2006,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":337,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Convergence (economics); Rate of convergence; Identification (biology); Gradient method; Computer science; Algorithm; Forgetting; Mathematical optimization; Mathematics; Key (lock)","score_opus":0.017019927671369194,"score_gpt":0.28264085961797675,"score_spread":0.2656209319466076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056615320","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032157697,0.001315046,0.9628565,0.00022855135,0.00007869178,0.000035017245,0.000038481114,0.00017589475,0.003114063],"genre_scores_gemma":[0.83693093,0.0010325795,0.15522893,0.0001287278,0.0001786401,0.0001312467,0.00019588777,0.00020320366,0.0059698373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974675,0.0014238091,0.00009101275,0.00021870916,0.0006510969,0.00014786977],"domain_scores_gemma":[0.98491085,0.011967733,0.00067819183,0.00054288236,0.0017082162,0.00019214243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006932855,0.0009843521,0.0010944881,0.0011073337,0.0004608758,0.0015445938,0.0010354064,0.0018139413,0.0020074015],"category_scores_gemma":[0.017747818,0.00037304804,0.0006729714,0.0007077108,0.0011162455,0.0016697191,0.0017691576,0.0011764001,0.00042118988],"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":[0.0011643915,0.00011367932,0.0013874305,0.00048743957,0.00017852453,0.00008888946,0.00014424662,0.8139659,0.0063355365,0.07055623,0.001121513,0.104456335],"study_design_scores_gemma":[0.000006520552,0.000056966117,0.00024226661,0.000008714867,0.000009160842,0.000018607272,0.0000052175105,0.99495476,0.0011828023,0.003344783,0.00016068622,0.000009408175],"about_ca_topic_score_codex":0.0014975814,"about_ca_topic_score_gemma":0.0006903556,"teacher_disagreement_score":0.006932855,"about_ca_system_score_codex":0.00084749394,"about_ca_system_score_gemma":0.00096246245,"threshold_uncertainty_score":0.036664903},"labels":[],"label_agreement":null},{"id":"W2059499223","doi":"10.1016/s0005-1098(00)00163-1","title":"Manufacturing systems with random breakdowns and deteriorating items","year":2001,"lang":"en","type":"article","venue":"Automatica","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mathematical optimization; Production (economics); Bounded function; Optimization problem; Class (philosophy); Production control; Markov process; Mathematics; Computer science; Statistics; Economics; Artificial intelligence","score_opus":0.011162727667919614,"score_gpt":0.18809097471517736,"score_spread":0.17692824704725774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059499223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71124285,0.0013041489,0.27835488,0.00059404655,0.00018341329,0.00018498971,0.001117426,0.0014915135,0.0055267797],"genre_scores_gemma":[0.98729205,0.0003161661,0.00910172,0.00005716503,0.000075145595,0.00003664337,0.0003624962,0.00005252942,0.002706199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970619,0.0006557203,0.0002471468,0.000756042,0.00054057705,0.000738684],"domain_scores_gemma":[0.9808915,0.008838055,0.0045939945,0.0026750562,0.0022573585,0.00074400613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035581598,0.0012231009,0.0019068398,0.001527778,0.0013374144,0.002572621,0.0016966228,0.0022681141,0.002991809],"category_scores_gemma":[0.020324893,0.0013725171,0.0010192848,0.0032037424,0.0018998645,0.0031029063,0.0011586695,0.0013888876,0.0007257046],"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":[0.00083007093,0.00015567994,0.013706547,0.0002958033,0.0001737363,0.0026403815,0.00039001266,0.9388279,0.0040186495,0.0147792315,0.0020907465,0.022091338],"study_design_scores_gemma":[0.0001061014,0.00041424547,0.008612368,0.000034849196,0.00018419391,0.0017529931,0.00023530984,0.9619486,0.0025374594,0.022698164,0.0014064313,0.00006927346],"about_ca_topic_score_codex":0.0031686164,"about_ca_topic_score_gemma":0.0028508287,"teacher_disagreement_score":0.0035581598,"about_ca_system_score_codex":0.0012695761,"about_ca_system_score_gemma":0.0009223124,"threshold_uncertainty_score":0.018817544},"labels":[],"label_agreement":null},{"id":"W2062184689","doi":"10.1016/j.automatica.2014.07.015","title":"A novel approach to unknown input filter design for discrete-time linear systems","year":2014,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":33,"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 Alberta","funders":"","keywords":"Control theory (sociology); Filter (signal processing); Filter design; Linear system; Lyapunov function; Computer science; Mathematics; Linear filter; Nonlinear system; Artificial intelligence","score_opus":0.016052314174487325,"score_gpt":0.22130103182396477,"score_spread":0.20524871764947744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062184689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030745222,0.000052627922,0.99921906,0.00002119962,0.000028105322,0.000007512875,0.0000050032318,0.000046608686,0.00031245893],"genre_scores_gemma":[0.19331531,0.001155157,0.7937412,0.00032135434,0.00049288804,0.00038210096,0.00018440378,0.0001498596,0.010257765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99942124,0.000115610375,0.000040373518,0.00013862955,0.00023932946,0.000044805616],"domain_scores_gemma":[0.9992938,0.00033227392,0.000056386583,0.00006212162,0.00023304507,0.000022382152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008355579,0.0014371243,0.0012275939,0.0005031907,0.0005087885,0.0012801418,0.0011446521,0.0018789717,0.0038908916],"category_scores_gemma":[0.0022195375,0.000604959,0.0010154296,0.00045964928,0.00062917033,0.0011741929,0.0009665176,0.0016161536,0.0014046329],"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":[0.00025933076,0.0002077072,0.00042886028,0.0008519726,0.0002779925,0.00035864447,0.00031885813,0.4930711,0.05463014,0.07568414,0.0040351353,0.36987603],"study_design_scores_gemma":[0.000027844762,0.00012113359,0.00009074927,0.000023329625,0.00003399014,0.00006436425,0.000010843811,0.98541254,0.0036063571,0.0064588566,0.0041319286,0.000018052322],"about_ca_topic_score_codex":0.0019188519,"about_ca_topic_score_gemma":0.002876943,"teacher_disagreement_score":0.0038908916,"about_ca_system_score_codex":0.0004499672,"about_ca_system_score_gemma":0.00078176823,"threshold_uncertainty_score":0.013016343},"labels":[],"label_agreement":null},{"id":"W2065287869","doi":"10.1016/j.automatica.2011.02.015","title":"Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Bayesian probability; Dependency (UML); Computer science; Fractionating column; Bayesian inference; Process (computing); Machine learning; Data mining; Artificial intelligence; Distillation","score_opus":0.029778590259623233,"score_gpt":0.3045871062290796,"score_spread":0.2748085159694563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065287869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003882192,0.0006355981,0.9946824,0.00015297337,0.000021725098,0.000015686446,0.000028817389,0.00007377709,0.00050679926],"genre_scores_gemma":[0.6320595,0.0026616354,0.35955468,0.00028478814,0.0004085327,0.00027951083,0.00039789593,0.00012463762,0.0042289044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789524,0.0008752252,0.00012658224,0.0002911246,0.00065998774,0.00015178444],"domain_scores_gemma":[0.9805814,0.016600877,0.0008575916,0.0005522678,0.0011909308,0.00021705242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051608304,0.0011559564,0.0022414972,0.002147084,0.0006402862,0.0021291887,0.0020320206,0.0020573766,0.0017485105],"category_scores_gemma":[0.028983757,0.0011714988,0.0010328551,0.0013957097,0.001727184,0.0033390897,0.0019557897,0.0024618683,0.00033313455],"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":[0.00049257406,0.00010115222,0.0012998444,0.00036700457,0.00031653195,0.00018007673,0.0001751134,0.7107033,0.0021385977,0.15072659,0.0012005328,0.13229865],"study_design_scores_gemma":[0.000031306536,0.000024539902,0.00017526199,0.000025315696,0.000028283477,0.000026263775,0.000008121408,0.9535476,0.00034036118,0.045388523,0.00038799024,0.00001645568],"about_ca_topic_score_codex":0.005694851,"about_ca_topic_score_gemma":0.0054671867,"teacher_disagreement_score":0.005694851,"about_ca_system_score_codex":0.0012341283,"about_ca_system_score_gemma":0.001830798,"threshold_uncertainty_score":0.027293384},"labels":[],"label_agreement":null},{"id":"W2066095457","doi":"10.1016/j.automatica.2013.02.064","title":"Robustness of nonlinear systems with respect to delay and sampling of the controls","year":2013,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Nonlinear system; Lyapunov function; Mathematics; Stability theory; Sampling (signal processing); Computer science; Control (management); Artificial intelligence","score_opus":0.012777180389272363,"score_gpt":0.2159489223094722,"score_spread":0.20317174192019985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066095457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4955826,0.0012941797,0.49557453,0.0005106174,0.0001514953,0.00006410293,0.0004257617,0.00048269145,0.005913984],"genre_scores_gemma":[0.9974922,0.00017447345,0.0016229085,0.00001682507,0.000021878872,0.000016745704,0.0000640547,0.000020026506,0.0005708817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914134,0.00020115488,0.00006348342,0.00024320345,0.00018764024,0.00016318646],"domain_scores_gemma":[0.99317014,0.0045082024,0.0010571382,0.00051714136,0.0005880424,0.00015927368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018682211,0.0008683157,0.0007012606,0.0007644759,0.0004089023,0.0014999934,0.00059042167,0.000946667,0.0010605226],"category_scores_gemma":[0.01271119,0.00032658706,0.0007681107,0.00034017322,0.0011709102,0.0008321901,0.0008858281,0.00074911944,0.00013492198],"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":[0.0012094412,0.00006983503,0.0018452016,0.00020722399,0.0001657215,0.00026836732,0.00018285082,0.9373336,0.02739231,0.013762939,0.00027541694,0.01728716],"study_design_scores_gemma":[0.0000318697,0.0002006826,0.0024268255,0.000015743835,0.000037832604,0.00006186091,0.000024911351,0.98582155,0.005271901,0.0058858227,0.00019927265,0.00002170189],"about_ca_topic_score_codex":0.0039837607,"about_ca_topic_score_gemma":0.0014543177,"teacher_disagreement_score":0.0039837607,"about_ca_system_score_codex":0.0010509698,"about_ca_system_score_gemma":0.0007477714,"threshold_uncertainty_score":0.009880185},"labels":[],"label_agreement":null},{"id":"W2066575158","doi":"10.1016/j.automatica.2005.03.030","title":"Extremum-seeking control of state-constrained nonlinear systems","year":2005,"lang":"en","type":"article","venue":"Automatica","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":191,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Nonlinear system; State (computer science); Control (management); Nonlinear control; Computer science; Mathematics; Artificial intelligence; Physics; Algorithm","score_opus":0.006032489905000156,"score_gpt":0.1979843153044662,"score_spread":0.19195182539946604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066575158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.091663584,0.0006650282,0.8937901,0.00037525818,0.00012262557,0.000038083028,0.000037650545,0.00020317176,0.013104564],"genre_scores_gemma":[0.9810589,0.00024189793,0.015472287,0.000052305917,0.000034616634,0.000038801532,0.000023089535,0.000029256938,0.0030488246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999759,0.000115197254,0.000010020014,0.00003106195,0.000049066053,0.00003561936],"domain_scores_gemma":[0.99964046,0.00018760387,0.0000597151,0.000020518553,0.000067779365,0.000023953553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074757263,0.0006649697,0.0008801856,0.00033259223,0.00038348057,0.0010293797,0.00061665144,0.0006499004,0.001738228],"category_scores_gemma":[0.0018884292,0.00029183936,0.00031834625,0.00032904948,0.0008235517,0.0005477124,0.001146148,0.00070984423,0.00017107005],"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":[0.00037860393,0.000073397896,0.0003430725,0.000242874,0.00008914085,0.00016342125,0.0002213389,0.7758547,0.019315647,0.13414204,0.002061136,0.06711459],"study_design_scores_gemma":[0.000014766752,0.000052537293,0.000083254956,0.000008587567,0.0000055856285,0.000010828302,0.00001091681,0.98606795,0.0007261197,0.012600278,0.00041136143,0.000007855798],"about_ca_topic_score_codex":0.0017914326,"about_ca_topic_score_gemma":0.0012561077,"teacher_disagreement_score":0.0017914326,"about_ca_system_score_codex":0.00037089825,"about_ca_system_score_gemma":0.00038615655,"threshold_uncertainty_score":0.00581491},"labels":[],"label_agreement":null},{"id":"W2067708449","doi":"10.1016/j.automatica.2004.01.002","title":"Adaptive extremum seeking control of continuous stirred tank bioreactors with unknown growth kinetics","year":2004,"lang":"en","type":"article","venue":"Automatica","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":167,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Queen's University","funders":"","keywords":"Control theory (sociology); Lyapunov function; Controller (irrigation); Stability (learning theory); Adaptive control; Bioreactor; Control (management); Set (abstract data type); Engineering; Mathematical optimization; Mathematics; Computer science; Nonlinear system; Artificial intelligence","score_opus":0.005398605730449767,"score_gpt":0.17487356167235538,"score_spread":0.16947495594190562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067708449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2650504,0.0007217948,0.7278061,0.000574177,0.00014801872,0.000055239394,0.000045958735,0.00023141892,0.0053668655],"genre_scores_gemma":[0.9859715,0.00013882019,0.011915354,0.000040114763,0.000018577513,0.000050081282,0.00001646996,0.000014985619,0.0018340743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996296,0.00015543945,0.000017929959,0.00006959171,0.00007919357,0.00004817375],"domain_scores_gemma":[0.99910456,0.00051173,0.00017947829,0.0000305347,0.00013579165,0.00003786325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013106507,0.0008269338,0.00076873304,0.00032294285,0.0003776651,0.0010364584,0.0009821502,0.00097079657,0.00067726173],"category_scores_gemma":[0.002360468,0.00041035237,0.00051631685,0.00028919615,0.000849524,0.00049346715,0.00095931767,0.00079401734,0.000114456096],"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":[0.0005461157,0.00011809477,0.0006397046,0.00022287322,0.000084332554,0.00018471395,0.00019569517,0.86685735,0.08185096,0.019633815,0.00064785156,0.02901849],"study_design_scores_gemma":[0.000021329102,0.000068922534,0.00014475254,0.000004029199,0.000007199194,0.00000792014,0.0000081044045,0.9951631,0.0026372035,0.0017837057,0.00014521186,0.000008493781],"about_ca_topic_score_codex":0.0024429057,"about_ca_topic_score_gemma":0.001401481,"teacher_disagreement_score":0.0024429057,"about_ca_system_score_codex":0.00069402234,"about_ca_system_score_gemma":0.00049420877,"threshold_uncertainty_score":0.006931424},"labels":[],"label_agreement":null},{"id":"W2070221063","doi":"10.1016/j.automatica.2011.02.051","title":"Leader localization in multi-agent systems subject to failure: A graph-theoretic approach","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Controllability; Graph; Undirected graph; Multi-agent system; Network controllability; Information flow; Computer science; Mathematical optimization; Link (geometry); Graph theory; Subject (documents); Theoretical computer science; Mathematics; Distributed computing; Artificial intelligence; Combinatorics; Computer network; Applied mathematics","score_opus":0.04198307313938692,"score_gpt":0.24223171052033476,"score_spread":0.20024863738094784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070221063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043072335,0.0008244913,0.9463643,0.0015365797,0.00010088376,0.000067547604,0.00009557259,0.00015048964,0.007787909],"genre_scores_gemma":[0.93139654,0.0020181106,0.055936996,0.000352381,0.00031025562,0.00019642532,0.00016880406,0.00013720454,0.009483239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992617,0.00037317796,0.000026069682,0.000120791134,0.0001295645,0.00008864896],"domain_scores_gemma":[0.99489284,0.0035646693,0.00064869423,0.00016443101,0.00046434227,0.0002650088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001615622,0.0012229781,0.0018630445,0.0025902449,0.0012916445,0.001966404,0.0027066204,0.0023659044,0.0034169173],"category_scores_gemma":[0.006878961,0.00079373136,0.0011113499,0.0017276247,0.0031011,0.0034182959,0.002329545,0.0013068807,0.00037729516],"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":[0.000065431654,0.000052610416,0.0005135297,0.00016900887,0.00008156438,0.00020846476,0.00020594649,0.693539,0.0009434994,0.29332602,0.0021642398,0.0087305745],"study_design_scores_gemma":[0.000017299826,0.00002749596,0.0001295436,0.000012664346,0.000020230738,0.00002603099,0.000069973685,0.8553945,0.00013662071,0.14373666,0.00041540916,0.000013628153],"about_ca_topic_score_codex":0.003974317,"about_ca_topic_score_gemma":0.002711325,"teacher_disagreement_score":0.003974317,"about_ca_system_score_codex":0.0015345761,"about_ca_system_score_gemma":0.0011112896,"threshold_uncertainty_score":0.01143074},"labels":[],"label_agreement":null},{"id":"W2073992666","doi":"10.1016/j.automatica.2009.01.008","title":"Transfer functions of distributed parameter systems: A tutorial","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":279,"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 Waterloo","funders":"","keywords":"Transfer function; Irrational number; Variety (cybernetics); Controller (irrigation); Rational function; Boundary (topology); Control theory (sociology); Mathematics; Function (biology); Boundary value problem; Applied mathematics; Computer science; Mathematical optimization; Mathematical analysis; Control (management); Engineering; Geometry; Artificial intelligence","score_opus":0.009632352710123897,"score_gpt":0.2043103482349594,"score_spread":0.1946779955248355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073992666","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002911915,0.42956495,0.5339482,0.0015055886,0.0029862388,0.00007854249,0.00023321091,0.000460803,0.02831051],"genre_scores_gemma":[0.054126207,0.58022493,0.30614203,0.0020681098,0.0136050135,0.00041508971,0.00080436864,0.0004416166,0.042172577],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970055,0.0000765153,0.000032124823,0.0000746147,0.00009498122,0.000021251868],"domain_scores_gemma":[0.9994444,0.00040266349,0.000020246565,0.000042725547,0.00006935358,0.000020617952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010991959,0.0020241654,0.0016088302,0.0023443901,0.0002654466,0.0016398076,0.00093149836,0.0021317108,0.003821215],"category_scores_gemma":[0.0013516156,0.0008632306,0.0011380174,0.0033893725,0.0012293017,0.0027470812,0.0008561694,0.0035669112,0.0031704532],"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":[0.00008166784,0.0002616738,0.00043299838,0.003454125,0.00018117247,0.0003443858,0.00049423374,0.03124504,0.006924496,0.37753052,0.046501,0.53254867],"study_design_scores_gemma":[0.000042719406,0.00023666474,0.0012764848,0.00094382575,0.00012634102,0.0009843453,0.00012204168,0.04874314,0.0019939786,0.48338795,0.46204367,0.00009889978],"about_ca_topic_score_codex":0.000715619,"about_ca_topic_score_gemma":0.0006141736,"teacher_disagreement_score":0.003821215,"about_ca_system_score_codex":0.0005759032,"about_ca_system_score_gemma":0.0004276441,"threshold_uncertainty_score":0.012783289},"labels":[],"label_agreement":null},{"id":"W2075215032","doi":"10.1016/s0005-1098(03)00082-7","title":"A differential game of retailer promotions","year":2003,"lang":"en","type":"article","venue":"Automatica","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis","funders":"Management and Science University","keywords":"Differential game; Order (exchange); Business; Marketing; Differential (mechanical device); Brand image; Incentive; Distribution (mathematics); Game theory; Advertising; Microeconomics; Economics; Mathematics; Engineering","score_opus":0.020490433567764553,"score_gpt":0.23206802784260316,"score_spread":0.2115775942748386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075215032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57910424,0.00086143817,0.22174184,0.009641828,0.00033138253,0.0004058486,0.0014601406,0.00059023907,0.18586294],"genre_scores_gemma":[0.97741663,0.00016534119,0.004145602,0.00020755368,0.00006306247,0.00007245236,0.0000857333,0.000019273322,0.017824376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99695206,0.001403719,0.00009649215,0.00048244878,0.00040524182,0.0006599748],"domain_scores_gemma":[0.99031234,0.007123149,0.0004675156,0.00045150542,0.0005053249,0.0011402842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034994355,0.0010653076,0.0024754757,0.000981536,0.0012454464,0.004297447,0.0031592231,0.0048259413,0.015614993],"category_scores_gemma":[0.012929391,0.0012477961,0.0010794732,0.0011750136,0.0028987415,0.0063582812,0.0021408766,0.003447878,0.0010476665],"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":[0.0015974506,0.00055903214,0.002508849,0.0002698121,0.000120373414,0.0007752663,0.00056244555,0.1225424,0.0046580397,0.83801556,0.009389785,0.01900104],"study_design_scores_gemma":[0.0004813106,0.00038014934,0.0019362663,0.000042122963,0.000093588016,0.00039603875,0.00031468095,0.61181283,0.00064152136,0.37978885,0.0040067565,0.000105885905],"about_ca_topic_score_codex":0.009880667,"about_ca_topic_score_gemma":0.0071027074,"teacher_disagreement_score":0.015614993,"about_ca_system_score_codex":0.0045984755,"about_ca_system_score_gemma":0.002493572,"threshold_uncertainty_score":0.052237332},"labels":[],"label_agreement":null},{"id":"W2078093848","doi":"10.1016/j.automatica.2014.12.047","title":"Small-time local controllability of spacecraft attitude using control moment gyros","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Controllability; Control theory (sociology); Moment (physics); Spacecraft; Attitude control; Control (management); Control moment gyroscope; Controller (irrigation); Computer science; Aerospace engineering; Control engineering; Physics; Engineering; Mathematics; Classical mechanics; Artificial intelligence; Applied mathematics","score_opus":0.023051389854812407,"score_gpt":0.21667304874407017,"score_spread":0.19362165888925775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078093848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3558033,0.00023332429,0.63629323,0.00016687464,0.0000924788,0.000017787519,0.0000341374,0.0004500148,0.006908932],"genre_scores_gemma":[0.9972682,0.00002637932,0.0018583117,0.000008428275,0.000013233363,0.0000068787867,0.000007646534,0.000009780719,0.00080120587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990547,0.000021496779,0.000003262565,0.000032011725,0.000023978873,0.0000138037385],"domain_scores_gemma":[0.9997099,0.000116149095,0.000072674826,0.00003274068,0.00004000057,0.000028477707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017678711,0.0003420822,0.00022629731,0.0001761341,0.00020039544,0.00044496806,0.0001971809,0.00014288361,0.000970313],"category_scores_gemma":[0.0009060054,0.00008136571,0.00017930027,0.00010891041,0.0005084496,0.000365249,0.00034655546,0.00031003953,0.0000903991],"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":[0.0015096323,0.00014569456,0.003002145,0.00026186148,0.0001017271,0.00043122735,0.00060725614,0.44474277,0.33173978,0.09300735,0.0016841246,0.12276651],"study_design_scores_gemma":[0.00004858515,0.0004534911,0.00197443,0.000005683433,0.000015985372,0.00004568093,0.000044165703,0.9718704,0.014982059,0.009608514,0.00093609025,0.000014772143],"about_ca_topic_score_codex":0.0011451363,"about_ca_topic_score_gemma":0.001316176,"teacher_disagreement_score":0.0011451363,"about_ca_system_score_codex":0.00016842874,"about_ca_system_score_gemma":0.00013955329,"threshold_uncertainty_score":0.0032460093},"labels":[],"label_agreement":null},{"id":"W2082249535","doi":"10.1016/j.automatica.2011.01.037","title":"A simple proof of the Pontryagin maximum principle on manifolds","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":24,"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 Waterloo","funders":"","keywords":"Pontryagin's minimum principle; Maximum principle; Mathematics; Simple (philosophy); Manifold (fluid mechanics); Optimal control; Control theory (sociology); Pure mathematics; Applied mathematics; Mathematical analysis; Calculus (dental); Control (management); Mathematical optimization; Computer science; Engineering","score_opus":0.020923139986389616,"score_gpt":0.24132800114512676,"score_spread":0.22040486115873714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082249535","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030380215,0.0020567107,0.7787853,0.007945832,0.0014317556,0.00013276545,0.0006488908,0.00083852344,0.17778005],"genre_scores_gemma":[0.679817,0.003075757,0.24599059,0.0037872638,0.0020368337,0.00044150866,0.0005502787,0.00087008765,0.06343066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99961853,0.00008285483,0.000018379826,0.000083116,0.00015854201,0.00003858491],"domain_scores_gemma":[0.9994223,0.00025664063,0.000042281405,0.00009866901,0.00011650913,0.00006355992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073711947,0.001090791,0.0009759366,0.0012857144,0.0010410175,0.0012795525,0.0013712465,0.0016005017,0.017433105],"category_scores_gemma":[0.0024466235,0.0005363641,0.001474626,0.00074720685,0.0022801147,0.0034106667,0.003794479,0.0034920454,0.0025665492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014731927,0.000020498637,0.00006579487,0.0001173482,0.000019364088,0.00013910467,0.000083594205,0.0019269135,0.0029208774,0.97725487,0.0057942187,0.011642734],"study_design_scores_gemma":[0.00000894544,0.000014218864,0.0001285525,0.000013784051,0.000005439859,0.000099487,0.000013099481,0.004381941,0.0005144516,0.98578656,0.009022443,0.000010908679],"about_ca_topic_score_codex":0.0005087672,"about_ca_topic_score_gemma":0.00052721275,"teacher_disagreement_score":0.017433105,"about_ca_system_score_codex":0.0007014879,"about_ca_system_score_gemma":0.00047841537,"threshold_uncertainty_score":0.05831957},"labels":[],"label_agreement":null},{"id":"W2085726513","doi":"10.1016/j.automatica.2007.04.020","title":"A new delay system approach to network-based control","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1135,"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 Alberta","funders":"","keywords":"Network delay; Control theory (sociology); Networked control system; Computer science; Network packet; Quantization (signal processing); Processing delay; Transmission delay; State (computer science); Control system; Stability (learning theory); Controller (irrigation); End-to-end delay; Control (management); Engineering; Algorithm; Artificial intelligence; Computer network","score_opus":0.006462386885272099,"score_gpt":0.19303731403113622,"score_spread":0.18657492714586413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085726513","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022901306,0.00051536213,0.99110866,0.00013469963,0.00022909026,0.000018127468,0.000030085661,0.00006044143,0.0056133573],"genre_scores_gemma":[0.68414104,0.0036275194,0.27066392,0.00044202385,0.0010831073,0.00031148794,0.00017478282,0.0001516768,0.039404318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997882,0.00004234919,0.000011942132,0.00005671782,0.00008140561,0.000019442792],"domain_scores_gemma":[0.999801,0.000079900274,0.000019705129,0.000020642485,0.00006279476,0.000015961807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033590128,0.00070941885,0.00055291696,0.0004922722,0.00040298048,0.0010487535,0.0012127351,0.0007327463,0.0037283269],"category_scores_gemma":[0.0009880188,0.00021524639,0.00037449505,0.0005520197,0.00060606847,0.0013126989,0.0009114818,0.0009412514,0.00050127914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009484026,0.000051867075,0.00023698728,0.00018169642,0.00006493501,0.00013549697,0.00012153181,0.38178155,0.010797092,0.5363783,0.0026340839,0.06752157],"study_design_scores_gemma":[0.000018356395,0.000070596325,0.00006611735,0.00001317062,0.000023304277,0.000047835787,0.000011061831,0.9024003,0.0012263532,0.08387538,0.012232346,0.000015081541],"about_ca_topic_score_codex":0.0016747429,"about_ca_topic_score_gemma":0.0016228718,"teacher_disagreement_score":0.0037283269,"about_ca_system_score_codex":0.000692987,"about_ca_system_score_gemma":0.0004782293,"threshold_uncertainty_score":0.01247251},"labels":[],"label_agreement":null},{"id":"W2085744412","doi":"10.1016/j.automatica.2013.03.020","title":"Lagrangian methods for approximating the viability kernel in high-dimensional systems","year":2013,"lang":"en","type":"article","venue":"Automatica","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Institute for Computing, Information and Cognitive Systems; Princeton University; National Science Foundation","keywords":"Reachability; Kernel (algebra); Mathematics; Linear system; Mathematical optimization; Kernel method; Connection (principal bundle); Algorithm; Computer science; Applied mathematics; Support vector machine; Discrete mathematics; Artificial intelligence","score_opus":0.011430880203756844,"score_gpt":0.2853689838813966,"score_spread":0.27393810367763977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085744412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063865483,0.0004199802,0.9913737,0.00033805706,0.000048441736,0.000022628526,0.000041104788,0.00010376662,0.0012656881],"genre_scores_gemma":[0.43293214,0.0015104545,0.54854846,0.0002986258,0.00026006444,0.0005181952,0.00046056678,0.0004955381,0.014975941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937445,0.00034645837,0.000029944222,0.000054354834,0.00014192787,0.000052964264],"domain_scores_gemma":[0.9938642,0.0046152524,0.00033623073,0.00027698392,0.0005923169,0.00031504515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030549269,0.001064161,0.0014731818,0.0015290478,0.000851803,0.0018321727,0.001815153,0.0022654524,0.002585],"category_scores_gemma":[0.010100351,0.0009013509,0.0010153378,0.00097619824,0.0029807677,0.0020920895,0.0030728388,0.0030596445,0.00062915415],"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":[0.0000692567,0.00006263919,0.0005211122,0.0001978917,0.00004608161,0.00007073617,0.00014665432,0.7568229,0.0014298103,0.21798389,0.002078335,0.020570755],"study_design_scores_gemma":[0.0000049639457,0.000005254404,0.000021791948,0.0000058853325,0.0000016470043,0.000003522248,0.0000067212927,0.97809416,0.0000741584,0.0214915,0.00028628358,0.000004065481],"about_ca_topic_score_codex":0.0076088794,"about_ca_topic_score_gemma":0.0071942373,"teacher_disagreement_score":0.0076088794,"about_ca_system_score_codex":0.0017631458,"about_ca_system_score_gemma":0.0021105523,"threshold_uncertainty_score":0.016156197},"labels":[],"label_agreement":null},{"id":"W2087276939","doi":"10.1016/j.automatica.2011.01.061","title":"Input-to-state stability of impulsive and switching hybrid systems with time-delay","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":328,"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 Waterloo","funders":"","keywords":"Dwell time; Control theory (sociology); Stability (learning theory); State (computer science); Upper and lower bounds; SIGNAL (programming language); Mathematics; Exponential stability; Computer science; Control (management); Nonlinear system; Algorithm; Physics; Mathematical analysis","score_opus":0.00942103544328496,"score_gpt":0.17987456342948704,"score_spread":0.17045352798620209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087276939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5406341,0.00094766077,0.43440285,0.0005733392,0.00015467347,0.0000573033,0.00020216664,0.00030741122,0.022720477],"genre_scores_gemma":[0.9971367,0.00008077661,0.0011021097,0.000017355402,0.000009428565,0.000017249384,0.000025075122,0.0000066060456,0.0016046885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997032,0.00006462292,0.000015795124,0.00006314278,0.00009181493,0.000061323124],"domain_scores_gemma":[0.99870396,0.0008062663,0.00020860719,0.000048104223,0.00017558046,0.00005746954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007342978,0.00053973164,0.0005712387,0.00056690467,0.00060273317,0.0013681555,0.0006953932,0.00070823566,0.0021397471],"category_scores_gemma":[0.0020217781,0.00026085708,0.00048683953,0.0004216547,0.0011210254,0.000618903,0.0008679963,0.0006209012,0.00016133551],"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":[0.00082137896,0.000102395985,0.0018940667,0.0001795413,0.0001789896,0.00049275527,0.0005724519,0.8651858,0.011447958,0.09866235,0.0007070284,0.019755337],"study_design_scores_gemma":[0.000030966345,0.000067134875,0.00050242065,0.0000062769486,0.000018512746,0.00003186251,0.00004185373,0.9845563,0.00095852447,0.013549996,0.00022547935,0.00001057179],"about_ca_topic_score_codex":0.004880637,"about_ca_topic_score_gemma":0.0030514288,"teacher_disagreement_score":0.004880637,"about_ca_system_score_codex":0.00086281577,"about_ca_system_score_gemma":0.00053040637,"threshold_uncertainty_score":0.009704471},"labels":[],"label_agreement":null},{"id":"W2088218212","doi":"10.1016/s0005-1098(00)00093-5","title":"A directional forgetting algorithm based on the decomposition of the information matrix","year":2000,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Forgetting; Algorithm; Matrix (chemical analysis); Decomposition; Estimator; Exponential function; Computer science; Mathematics; Mathematical optimization; Statistics","score_opus":0.004969112480956901,"score_gpt":0.26186489218936443,"score_spread":0.25689577970840755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088218212","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033230002,0.00041655242,0.9950395,0.000041880554,0.00017039529,0.000019572364,0.000047675625,0.00060676545,0.00033463043],"genre_scores_gemma":[0.053979963,0.00083887565,0.94005424,0.00013193308,0.00028299406,0.00008253972,0.0005196797,0.0002522509,0.0038575144],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994481,0.00008242085,0.00004137217,0.00013017493,0.00024306709,0.000054883967],"domain_scores_gemma":[0.99830365,0.00041866503,0.00011282115,0.00036573858,0.0006915735,0.00010756192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091512146,0.0011396045,0.0011999736,0.0014031663,0.0005205572,0.0011643675,0.00124377,0.0008053949,0.0036198415],"category_scores_gemma":[0.00327532,0.00045046458,0.0008862034,0.0013729975,0.00049539027,0.0014736125,0.0008335706,0.0016192256,0.00207056],"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":[0.000432512,0.00012863187,0.0010074996,0.00024727423,0.00014328424,0.000121750774,0.00011231803,0.027210996,0.06166377,0.020331254,0.008022841,0.8805778],"study_design_scores_gemma":[0.00012232525,0.0004508761,0.002010935,0.00006280032,0.00025143783,0.00081122265,0.00006421103,0.86740285,0.0823123,0.01719104,0.029174272,0.00014576191],"about_ca_topic_score_codex":0.0038273698,"about_ca_topic_score_gemma":0.0058051404,"teacher_disagreement_score":0.0038273698,"about_ca_system_score_codex":0.00035696774,"about_ca_system_score_gemma":0.0010465757,"threshold_uncertainty_score":0.012109578},"labels":[],"label_agreement":null},{"id":"W2088705620","doi":"10.1016/j.automatica.2004.06.018","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mo>∞</mml:mo></mml:mrow></mml:msub></mml:math> output feedback control for uncertain stochastic systems with time-varying delays","year":2004,"lang":"lv","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":152,"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 Alberta","funders":"","keywords":"Computer science; Control theory (sociology); Algorithm; Controller (irrigation); Norm (philosophy); Stability (learning theory); Exponential function; Applied mathematics; Mathematics; Artificial intelligence; Control (management); Mathematical analysis; Machine learning","score_opus":0.014055268116126377,"score_gpt":0.22385494255721686,"score_spread":0.2097996744410905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088705620","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017246887,0.0006663551,0.20563824,0.0053647733,0.0017697692,0.0004488418,0.114085324,0.09816074,0.57214135],"genre_scores_gemma":[0.023645569,0.0024087448,0.10587078,0.0018789815,0.0009365369,0.0007803101,0.1264631,0.081459396,0.65655655],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99959236,0.000061170664,0.000042864438,0.00005688838,0.00020585784,0.000040812927],"domain_scores_gemma":[0.9984951,0.0004013816,0.000096330485,0.0003534433,0.00053557835,0.000118100885],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00070192484,0.0015026274,0.0011753853,0.0018703449,0.00064723566,0.004989932,0.0024135215,0.0016384864,0.66229725],"category_scores_gemma":[0.0035603093,0.0008748698,0.00085767836,0.003099246,0.0005259607,0.0032926353,0.0014996857,0.0020361354,0.5911158],"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":[0.000092397735,0.00003955209,0.00015246909,0.0002604328,0.0000119716415,0.000051660085,0.00007220002,0.0007409983,0.0015869449,0.02552113,0.90078163,0.070688605],"study_design_scores_gemma":[0.00004326142,0.000018904202,0.0005555136,0.00007662418,0.0000076104457,0.00011503552,0.000042556123,0.005408158,0.0045490055,0.017121358,0.97202975,0.000032209246],"about_ca_topic_score_codex":0.006794648,"about_ca_topic_score_gemma":0.006004566,"teacher_disagreement_score":0.66229725,"about_ca_system_score_codex":0.0015314332,"about_ca_system_score_gemma":0.00096494,"threshold_uncertainty_score":0.48169196},"labels":[],"label_agreement":null},{"id":"W2094387729","doi":"10.1016/j.automatica.2009.07.008","title":"Natural actor–critic algorithms","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":569,"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 Alberta","funders":"","keywords":"Temporal difference learning; Reinforcement learning; Computer science; Function approximation; Convergence (economics); Bellman equation; Mathematical proof; Function (biology); Stochastic gradient descent; Variance (accounting); Mathematics; Mathematical optimization; Artificial intelligence; Applied mathematics; Algorithm; Artificial neural network","score_opus":0.009214446772915929,"score_gpt":0.2557505181836024,"score_spread":0.24653607141068645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094387729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004533079,0.0004114238,0.98612994,0.0002477291,0.00012222941,0.000034443063,0.00002717905,0.0005410488,0.0079528615],"genre_scores_gemma":[0.43471128,0.0006529115,0.5399045,0.000430031,0.00018860263,0.0003064238,0.00018646615,0.00028601987,0.02333382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994937,0.00018848712,0.000025879966,0.00015673411,0.000101092424,0.000034174038],"domain_scores_gemma":[0.99873406,0.00077697396,0.000075842254,0.0001853443,0.00018275902,0.00004504412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013363397,0.0008623444,0.000780511,0.0004885596,0.00057269126,0.00089771603,0.0012789469,0.0016165391,0.0069444003],"category_scores_gemma":[0.0038922394,0.0005689578,0.00050473295,0.0003782699,0.0012135209,0.0012508513,0.0010124308,0.0015519542,0.0016027221],"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":[0.00011022417,0.00010961889,0.0005981494,0.00020552584,0.00009454824,0.00009158626,0.00009331269,0.62110186,0.0034029773,0.165495,0.009209668,0.19948755],"study_design_scores_gemma":[0.000014674232,0.00001632886,0.000051143863,0.000008618609,0.000008045756,0.000024941508,0.0000049695977,0.9583105,0.0004703049,0.038647376,0.00243715,0.000005869494],"about_ca_topic_score_codex":0.0012351996,"about_ca_topic_score_gemma":0.0021751772,"teacher_disagreement_score":0.0069444003,"about_ca_system_score_codex":0.0005894248,"about_ca_system_score_gemma":0.0008228104,"threshold_uncertainty_score":0.023231268},"labels":[],"label_agreement":null},{"id":"W2094787710","doi":"10.1016/j.automatica.2015.01.007","title":"Node-consistent core for games played over event trees","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Core (optical fiber); Node (physics); Stochastic game; Event (particle physics); Mathematical economics; Computer science; Tree (set theory); Class (philosophy); Game tree; Repeated game; Mathematical optimization; Decomposition; Game theory; Mathematics; Engineering; Artificial intelligence; Combinatorics; Telecommunications","score_opus":0.23512545238992996,"score_gpt":0.43569168008557313,"score_spread":0.20056622769564317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094787710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0655527,0.00019898334,0.92643946,0.0005392652,0.000046264984,0.0001460889,0.0005303915,0.0004073018,0.0061395555],"genre_scores_gemma":[0.7626461,0.00041490464,0.22499004,0.0004986064,0.0001845423,0.00061517,0.0015322944,0.0004839471,0.008634394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957638,0.0013742134,0.00026234123,0.0011259197,0.0008206452,0.0006531501],"domain_scores_gemma":[0.9745983,0.017479349,0.0018232225,0.0019100468,0.0025230898,0.0016659532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060410597,0.0011227679,0.0029518295,0.0025266248,0.0017336378,0.0053332984,0.0034468214,0.002233867,0.006422027],"category_scores_gemma":[0.028154857,0.0015887121,0.0022448227,0.0026521224,0.0037927453,0.008738831,0.0035880012,0.0047692163,0.00084772403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002130451,0.00014569581,0.0007629747,0.00013856578,0.000074567935,0.00007487278,0.00046928783,0.017659752,0.0010565217,0.96520376,0.0015680859,0.012632855],"study_design_scores_gemma":[0.000042290536,0.00003169107,0.00016722914,0.000021691776,0.000021889904,0.0000322811,0.000049380116,0.085961476,0.00031967708,0.9128723,0.0004657146,0.000014381553],"about_ca_topic_score_codex":0.004008905,"about_ca_topic_score_gemma":0.0043286667,"teacher_disagreement_score":0.006422027,"about_ca_system_score_codex":0.0024539721,"about_ca_system_score_gemma":0.0037299301,"threshold_uncertainty_score":0.031948566},"labels":[],"label_agreement":null},{"id":"W2096106274","doi":"10.1016/s0005-1098(01)00175-3","title":"Robust performance assessment of feedback control systems","year":2002,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Control (management); Computer science; Feedback control; Control engineering; Engineering; Artificial intelligence","score_opus":0.014358546515382707,"score_gpt":0.20358912926172182,"score_spread":0.1892305827463391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096106274","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08960647,0.0024759786,0.89776015,0.0003289877,0.00012061042,0.00011092413,0.0001612461,0.0008920615,0.008543536],"genre_scores_gemma":[0.98233634,0.00034422145,0.015393481,0.00003262635,0.00007950665,0.00006914987,0.00017216483,0.00009058425,0.0014819154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966935,0.0013885895,0.0001422344,0.000370673,0.0011671182,0.00023793922],"domain_scores_gemma":[0.9925075,0.0049276217,0.00066294393,0.00042842716,0.0013516957,0.0001218302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038218452,0.0012812939,0.0009444126,0.0011793543,0.00029644,0.0016917315,0.00089403114,0.0013525004,0.0024855328],"category_scores_gemma":[0.015677065,0.00033096326,0.0005608158,0.00044503596,0.00076363096,0.0010104433,0.0011331199,0.00072841684,0.0005221233],"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":[0.00083899783,0.0000900708,0.00070178893,0.00042924375,0.0001577319,0.0001315205,0.000081695725,0.88765097,0.014726683,0.021058258,0.0010271894,0.07310586],"study_design_scores_gemma":[0.00001426183,0.0002316769,0.0005642495,0.00001239198,0.000019859139,0.000021194084,0.000010302167,0.9908931,0.0037106292,0.004232792,0.00027352595,0.000015932024],"about_ca_topic_score_codex":0.001680037,"about_ca_topic_score_gemma":0.00046457292,"teacher_disagreement_score":0.0038218452,"about_ca_system_score_codex":0.000834965,"about_ca_system_score_gemma":0.0006561436,"threshold_uncertainty_score":0.020212114},"labels":[],"label_agreement":null},{"id":"W2096228075","doi":"10.1016/j.automatica.2011.08.062","title":"On nonoscillation and stability for systems of differential equations with a distributed delay","year":2012,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":10,"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 Calgary","funders":"","keywords":"Stability (learning theory); Mathematics; Distributed parameter system; Delay differential equation; Differential equation; Mathematical analysis; Matrix (chemical analysis); Control theory (sociology); Type (biology); Applied mathematics; Computer science; Control (management); Materials science","score_opus":0.01703877632950247,"score_gpt":0.22182975210428682,"score_spread":0.20479097577478436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096228075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21461292,0.007004616,0.73582137,0.0025229594,0.00086330425,0.00012818124,0.00016133623,0.0001230351,0.03876233],"genre_scores_gemma":[0.9682406,0.0032421048,0.015071149,0.00029056703,0.00052963116,0.00013581237,0.00012662134,0.00008469032,0.012278743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900585,0.00037781912,0.000059165537,0.00020017561,0.00024322892,0.0001137682],"domain_scores_gemma":[0.99266654,0.0055746445,0.00048373645,0.00025021497,0.00080842205,0.00021641997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029166802,0.0016565125,0.001500727,0.0012069833,0.0011263324,0.0021878558,0.0012615739,0.001122554,0.0027979666],"category_scores_gemma":[0.008979915,0.0004347784,0.0010764202,0.0009813593,0.003992955,0.0029694964,0.0025325515,0.0021964053,0.00016162777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058443274,0.00015194471,0.0008969767,0.00041260393,0.00017615157,0.00037095865,0.00051679777,0.22260438,0.009178347,0.74419385,0.0015382948,0.01937532],"study_design_scores_gemma":[0.0000562401,0.00009904881,0.00038896146,0.000023368375,0.000031541338,0.000044893113,0.000041811312,0.8251756,0.00099142,0.17207305,0.0010445794,0.000029492092],"about_ca_topic_score_codex":0.0030637048,"about_ca_topic_score_gemma":0.0022027944,"teacher_disagreement_score":0.0030637048,"about_ca_system_score_codex":0.0014810876,"about_ca_system_score_gemma":0.001133861,"threshold_uncertainty_score":0.015425026},"labels":[],"label_agreement":null},{"id":"W2096827855","doi":"10.1016/j.automatica.2009.03.013","title":"Robust guaranteed cost control for uncertain stochastic systems with multiple decision makers","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":40,"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":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Karush–Kuhn–Tucker conditions; Mathematical optimization; Mathematics; Linear matrix inequality; Control theory (sociology); Controller (irrigation); Riccati equation; Upper and lower bounds; Stochastic control; Cost control; Optimal control; Computation; Control (management); Computer science","score_opus":0.01650515444694709,"score_gpt":0.22015611773019955,"score_spread":0.20365096328325247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096827855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039611492,0.0013584822,0.9531565,0.0007337465,0.00018689857,0.0000626598,0.00014494131,0.00025468142,0.0044906656],"genre_scores_gemma":[0.97605,0.0004073656,0.020245874,0.00009047557,0.00013085025,0.00012263581,0.000110573725,0.000046336125,0.0027958243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731666,0.00094708154,0.00014447185,0.00051621045,0.00064736494,0.00042825335],"domain_scores_gemma":[0.9941963,0.0037520875,0.0009010172,0.00024703084,0.0007195987,0.00018394542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003839785,0.0021304737,0.003171493,0.000938209,0.0010018307,0.0033826982,0.00245367,0.0022009716,0.0026149487],"category_scores_gemma":[0.010646824,0.0012901764,0.0011208636,0.0011113426,0.002323743,0.001980006,0.0021958211,0.0021222571,0.00030230574],"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":[0.00014252547,0.000027660937,0.00015343705,0.00008579903,0.00008819337,0.000092502574,0.000044987966,0.97339964,0.0005038644,0.018889805,0.0004211517,0.006150417],"study_design_scores_gemma":[0.000021575186,0.000023139975,0.000066690016,0.0000037791872,0.000009463628,0.000006044298,0.000003886477,0.9931443,0.00010011606,0.0064954143,0.000118891556,0.0000067413007],"about_ca_topic_score_codex":0.01577589,"about_ca_topic_score_gemma":0.008223655,"teacher_disagreement_score":0.01577589,"about_ca_system_score_codex":0.0026305267,"about_ca_system_score_gemma":0.0024817442,"threshold_uncertainty_score":0.031368136},"labels":[],"label_agreement":null},{"id":"W2097017393","doi":"10.1016/j.automatica.2008.03.004","title":"A stochastic control model for optimal timing of climate policies","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"HEC Montréal; Natural Sciences and Engineering Research Council of Canada; Université de Genève","keywords":"Optimal control; Greenhouse gas; Stochastic programming; Stochastic control; Sensitivity (control systems); Dynamic programming; Piecewise; Set (abstract data type); Mathematical optimization; Control (management); Stochastic modelling; Jump; Climate change; Computer science; Economics; Mathematics; Engineering","score_opus":0.13763180221600976,"score_gpt":0.277890314921619,"score_spread":0.1402585127056092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097017393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07662697,0.0009793866,0.89795834,0.0055926093,0.00039432972,0.00009199893,0.0009954293,0.0006092809,0.01675169],"genre_scores_gemma":[0.9542778,0.0006912573,0.022492355,0.0004064537,0.0002993137,0.00019538759,0.00041472414,0.00014768701,0.021075018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985669,0.00048255816,0.00006312205,0.00039257164,0.0002201126,0.00027473253],"domain_scores_gemma":[0.99420774,0.004005856,0.0006705767,0.00020005609,0.0005403889,0.00037529552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031055433,0.0012499313,0.0029568132,0.0014113965,0.001056169,0.0037795047,0.0026468993,0.004818692,0.010007096],"category_scores_gemma":[0.012639913,0.0016991824,0.0015345169,0.0014258119,0.0024841465,0.0027264669,0.001945916,0.0033329418,0.0008797583],"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":[0.00006959517,0.000038135226,0.00037549794,0.00004081955,0.00004962144,0.00007557121,0.000058589467,0.81256294,0.0005541501,0.18146756,0.0013987945,0.003308724],"study_design_scores_gemma":[0.000034923218,0.000011657577,0.00011657838,0.000005013168,0.000013506283,0.00001062513,0.0000063408775,0.9618861,0.00005435101,0.03750669,0.00034030082,0.000013916187],"about_ca_topic_score_codex":0.028023496,"about_ca_topic_score_gemma":0.011488811,"teacher_disagreement_score":0.028023496,"about_ca_system_score_codex":0.0031233751,"about_ca_system_score_gemma":0.0032765297,"threshold_uncertainty_score":0.055720747},"labels":[],"label_agreement":null},{"id":"W2097527372","doi":"10.1016/j.automatica.2007.05.009","title":"Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":99,"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 Alberta","funders":"","keywords":"Kalman filter; Control theory (sociology); Fault detection and isolation; Alpha beta filter; Convergence (economics); Stability (learning theory); Fast Kalman filter; Actuator; Benchmark (surveying); Process (computing); Invariant extended Kalman filter; Control engineering; Engineering; Computer science; Extended Kalman filter; Moving horizon estimation; Control (management); Artificial intelligence","score_opus":0.007570166427601533,"score_gpt":0.22858842061633444,"score_spread":0.22101825418873292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097527372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0141477045,0.008361607,0.9709552,0.0012068868,0.00034290546,0.000008849768,0.00004973807,0.0001291358,0.0047979592],"genre_scores_gemma":[0.8263528,0.01636446,0.1350422,0.0005028185,0.0010874881,0.000046204073,0.00013838946,0.00009465474,0.02037092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997379,0.00007165916,0.000017455823,0.0000703512,0.000072374256,0.00003035415],"domain_scores_gemma":[0.99878305,0.0006467911,0.00012151888,0.00019211766,0.00022392283,0.000032490734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008524704,0.0004853984,0.00065622333,0.0003419386,0.00022878945,0.0012350025,0.00047841307,0.0011016284,0.0021030828],"category_scores_gemma":[0.0037205066,0.0003196202,0.00041914897,0.00042579972,0.0009192685,0.0032461088,0.00078324205,0.0014217691,0.00033087525],"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":[0.00013866491,0.000030625677,0.0012488962,0.00036581748,0.00005941304,0.00013021816,0.000196166,0.18634766,0.0043981695,0.66554755,0.002750486,0.1387864],"study_design_scores_gemma":[0.0000106601,0.00003494519,0.0006129041,0.000064479595,0.000024157789,0.000048036633,0.000029452434,0.8332814,0.0013221506,0.15918398,0.005363992,0.000023840234],"about_ca_topic_score_codex":0.0028921596,"about_ca_topic_score_gemma":0.0020833544,"teacher_disagreement_score":0.0028921596,"about_ca_system_score_codex":0.0006142925,"about_ca_system_score_gemma":0.00048122476,"threshold_uncertainty_score":0.0070355535},"labels":[],"label_agreement":null},{"id":"W2098279832","doi":"10.1016/j.automatica.2005.03.024","title":"Integrity of systems under decentralized integral control","year":2005,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decentralised system; Control theory (sociology); Controller (irrigation); Flexibility (engineering); Block (permutation group theory); Fault tolerance; Computer science; Representation (politics); Stability (learning theory); Action (physics); Control engineering; Control (management); Mathematics; Engineering; Distributed computing","score_opus":0.011654202640027018,"score_gpt":0.22700305201845747,"score_spread":0.21534884937843046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098279832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43005055,0.00050550705,0.5441591,0.001628557,0.00017634114,0.000052458174,0.00030976062,0.0005553257,0.022562392],"genre_scores_gemma":[0.9924191,0.00013064037,0.0057411036,0.000039354134,0.00009522834,0.0000239625,0.000106039435,0.0000356281,0.0014088756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731785,0.00049430755,0.00013404118,0.0004549388,0.0011803767,0.00041855665],"domain_scores_gemma":[0.98946685,0.0036355674,0.0021907154,0.0018565359,0.0023896687,0.0004606277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025093188,0.0004510575,0.0013284885,0.0010238561,0.0011576109,0.0034023505,0.001392622,0.0010802024,0.0022643327],"category_scores_gemma":[0.013242703,0.0003542286,0.00051436207,0.0006780131,0.0036456091,0.0042874753,0.0020575204,0.0020484994,0.0003300237],"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":[0.0013792926,0.00012867159,0.0028171195,0.00017554242,0.00011882939,0.00039667517,0.0010987873,0.16449142,0.015411899,0.7740493,0.001462926,0.038469654],"study_design_scores_gemma":[0.0000740724,0.00018344227,0.0014268701,0.000023800216,0.00003939493,0.00012261569,0.00014653584,0.5281055,0.0066711493,0.46175632,0.0014169116,0.00003344498],"about_ca_topic_score_codex":0.001437561,"about_ca_topic_score_gemma":0.0004979966,"teacher_disagreement_score":0.0034023505,"about_ca_system_score_codex":0.0011649833,"about_ca_system_score_gemma":0.0014310348,"threshold_uncertainty_score":0.013270736},"labels":[],"label_agreement":null},{"id":"W2102643044","doi":"10.1016/j.automatica.2014.04.004","title":"An event-triggered approach to state estimation with multiple point- and set-valued measurements","year":2014,"lang":"en","type":"article","venue":"Automatica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Estimator; Event (particle physics); Covariance; Optimal estimation; Set (abstract data type); Covariance intersection; Algorithm; Covariance matrix; Computer science; Gaussian; Sensor fusion; Monte Carlo method; Mathematics; Mathematical optimization; Extended Kalman filter; Statistics; Artificial intelligence; Machine learning","score_opus":0.02307214856833501,"score_gpt":0.2565125328443505,"score_spread":0.2334403842760155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102643044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021969886,0.00004707941,0.99725705,0.000029425488,0.000026768512,0.000013486059,0.000018183302,0.00012210084,0.0002889026],"genre_scores_gemma":[0.62577206,0.00028653714,0.37033448,0.00015157039,0.00015255448,0.00014798134,0.00020369318,0.000102005084,0.0028491379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986084,0.00032222926,0.000088093926,0.0003788936,0.00051328534,0.00008912784],"domain_scores_gemma":[0.99834514,0.0010334734,0.00016506299,0.00018702587,0.00021550948,0.00005380908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287948,0.0008578426,0.0010890783,0.0005766642,0.0004066539,0.0015747704,0.0025013776,0.0012346508,0.0018898156],"category_scores_gemma":[0.0041851504,0.0006450539,0.00090842735,0.0009224473,0.00073987216,0.0019678785,0.0019175839,0.0015719353,0.0003686357],"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":[0.0008991878,0.0002709404,0.0013812188,0.0002696964,0.00028952502,0.0008452841,0.00029358655,0.623978,0.030200629,0.08239844,0.0017836472,0.25738987],"study_design_scores_gemma":[0.000010879943,0.000032963108,0.00013357357,0.000004125321,0.0000110687015,0.000050619143,0.0000064522665,0.9893119,0.0018026286,0.008202206,0.00042442064,0.000009243988],"about_ca_topic_score_codex":0.0014649176,"about_ca_topic_score_gemma":0.0016263562,"teacher_disagreement_score":0.0025013776,"about_ca_system_score_codex":0.0005005312,"about_ca_system_score_gemma":0.000592804,"threshold_uncertainty_score":0.00681144},"labels":[],"label_agreement":null},{"id":"W2110469502","doi":"10.1016/j.automatica.2013.03.004","title":"Pareto optimality in infinite horizon linear quadratic differential games","year":2013,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Mathematics; Pareto principle; Mathematical optimization; Optimal control; Transversality; Quadratic equation; Scalar (mathematics); Minification; Pareto optimal; Applied mathematics; Multi-objective optimization","score_opus":0.009988373953563707,"score_gpt":0.2409104974390513,"score_spread":0.2309221234854876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110469502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1163646,0.0012300726,0.82212746,0.002201595,0.00015434525,0.00009205975,0.0002546952,0.00011683036,0.057458322],"genre_scores_gemma":[0.9589292,0.0010523859,0.019740632,0.00023399034,0.00007812769,0.00018183536,0.00015608597,0.00006443418,0.019563511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99860257,0.00065250957,0.000050846993,0.00012406408,0.0003213065,0.00024879957],"domain_scores_gemma":[0.99578357,0.0032714796,0.0002947509,0.000080848135,0.00031653477,0.00025273536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028196364,0.0012415047,0.0017964476,0.000874002,0.0009909959,0.0028164443,0.0012826376,0.001526164,0.0039428966],"category_scores_gemma":[0.0077718757,0.0008644525,0.0007865851,0.00084923033,0.002519343,0.0022564179,0.0019707587,0.0022590258,0.00030032074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010307322,0.00007177412,0.00044458147,0.00014322069,0.000058643494,0.00012999169,0.00015713432,0.42087278,0.00066436955,0.56749976,0.0015941154,0.008260569],"study_design_scores_gemma":[0.000034106506,0.00004492559,0.00020560826,0.000028725268,0.00001263475,0.000019190014,0.00006187375,0.56638265,0.00017815162,0.43231645,0.0007013033,0.000014331705],"about_ca_topic_score_codex":0.0071399724,"about_ca_topic_score_gemma":0.0057465946,"teacher_disagreement_score":0.0071399724,"about_ca_system_score_codex":0.0028825882,"about_ca_system_score_gemma":0.0031166775,"threshold_uncertainty_score":0.020914733},"labels":[],"label_agreement":null},{"id":"W2115036670","doi":"10.1016/j.automatica.2011.05.012","title":"Dynamic switching surfaces for output sliding mode control: An<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si8.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi mathvariant=\"script\">H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math>approach","year":2011,"lang":"lv","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Riccati equation; Sliding mode control; Control theory (sociology); Robustness (evolution); Scroll; Mathematics; Manifold (fluid mechanics); Controller (irrigation); Computer science; Mathematical analysis; Control (management); Engineering; Physics; Partial differential equation; Artificial intelligence","score_opus":0.022803909426785486,"score_gpt":0.24035292777524245,"score_spread":0.21754901834845697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115036670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018628013,0.0004592196,0.98319304,0.00017128425,0.00009984749,0.000028363953,0.00005810699,0.00029180173,0.013835476],"genre_scores_gemma":[0.5461699,0.003183188,0.36024916,0.00038949124,0.00047737348,0.00064851687,0.0008511446,0.0007103361,0.08732097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996927,0.00007878416,0.000015339732,0.000049227212,0.000144208,0.00001979024],"domain_scores_gemma":[0.99975353,0.000102023034,0.000013335371,0.00003668289,0.0000837165,0.000010768911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005414839,0.0007066672,0.0005021591,0.0005187332,0.00029056612,0.001387555,0.0007158393,0.0006604069,0.0134314075],"category_scores_gemma":[0.0013887712,0.0002046296,0.0006159331,0.00043170393,0.0005553666,0.0008905589,0.000888614,0.0014465214,0.0023893577],"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":[0.00011468739,0.00009443362,0.00024835306,0.00043795197,0.000046283974,0.00009412881,0.00032492095,0.16987559,0.007405729,0.48714688,0.014660847,0.31955016],"study_design_scores_gemma":[0.000017522503,0.00008047778,0.00018241793,0.000056330246,0.000013909708,0.000034217963,0.000052982556,0.85406476,0.002471127,0.12056863,0.02244061,0.000017127324],"about_ca_topic_score_codex":0.0012660542,"about_ca_topic_score_gemma":0.00081943255,"teacher_disagreement_score":0.0134314075,"about_ca_system_score_codex":0.00057799503,"about_ca_system_score_gemma":0.0004469962,"threshold_uncertainty_score":0.044932485},"labels":[],"label_agreement":null},{"id":"W2118053528","doi":"10.1016/j.automatica.2006.11.019","title":"Simulation-based optimal sensor scheduling with application to observer trajectory planning","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":58,"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 British Columbia","funders":"","keywords":"Scheduling (production processes); Mathematical optimization; Computer science; Hidden Markov model; Trajectory; Observer (physics); Job shop scheduling; Sequence (biology); Control theory (sociology); Mathematics; Artificial intelligence; Control (management)","score_opus":0.01973599593844678,"score_gpt":0.28049665230813503,"score_spread":0.26076065636968826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118053528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0174214,0.00017202825,0.9795503,0.0001419288,0.000072979296,0.000047112866,0.000038302118,0.0006108198,0.0019451636],"genre_scores_gemma":[0.82515,0.00021620051,0.1729233,0.000053419968,0.000042087897,0.00017408552,0.000104938714,0.00016179425,0.0011740574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950314,0.00019259531,0.000029115612,0.00006904293,0.00015772463,0.00004838266],"domain_scores_gemma":[0.99625885,0.0026514605,0.00022540969,0.00021307766,0.0005116051,0.00013961692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001441509,0.0008429824,0.0016516006,0.0007337099,0.000729947,0.0009836167,0.0010687017,0.0011178603,0.002347314],"category_scores_gemma":[0.005956668,0.0009046049,0.000721404,0.0008235006,0.0009396489,0.0007229146,0.00082129036,0.0010866253,0.00024826062],"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":[0.00004742799,0.000016139178,0.00010485506,0.000010494694,0.000007714878,0.000012740661,0.000011233894,0.99309736,0.0002763759,0.0021911487,0.00011765663,0.00410683],"study_design_scores_gemma":[0.0000044291714,0.0000032295052,0.000010336929,7.219778e-7,9.976367e-7,0.000001274112,6.9119363e-7,0.9993748,0.00007911481,0.00048120794,0.000042379626,8.800369e-7],"about_ca_topic_score_codex":0.015791222,"about_ca_topic_score_gemma":0.007953823,"teacher_disagreement_score":0.015791222,"about_ca_system_score_codex":0.0013106313,"about_ca_system_score_gemma":0.0018735924,"threshold_uncertainty_score":0.031398654},"labels":[],"label_agreement":null},{"id":"W2122995702","doi":"10.1016/j.automatica.2003.10.021","title":"Robust adaptive control of a class of nonlinear systems with unknown dead-zone","year":2003,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":558,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dead zone; Nonlinear system; Control theory (sociology); Adaptive control; Scheme (mathematics); Class (philosophy); Computer science; Control (management); Mathematics; Artificial intelligence; Physics; Geology","score_opus":0.01488188231979591,"score_gpt":0.19631308555539378,"score_spread":0.1814312032355979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122995702","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10080977,0.0013838311,0.89157563,0.00024224071,0.00014662478,0.000045546385,0.000086581415,0.0004036531,0.0053060697],"genre_scores_gemma":[0.9826916,0.00043268412,0.013200324,0.000039965114,0.00007389791,0.000060395847,0.00007454421,0.000028145183,0.0033983537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962425,0.0000562236,0.000022859276,0.00008378243,0.00014084476,0.00007193817],"domain_scores_gemma":[0.99923444,0.00033000324,0.00015796217,0.00007727908,0.00016925823,0.000031028838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007021306,0.001008908,0.0010946884,0.0005309079,0.00052789337,0.00115269,0.0013877235,0.0010768044,0.0012526541],"category_scores_gemma":[0.002409533,0.00032017403,0.0005830717,0.0003601951,0.0010754397,0.00085227104,0.0009905215,0.0009658819,0.00027527884],"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":[0.00070254045,0.000094127325,0.00075790804,0.0004373182,0.0001750153,0.000581716,0.0003318797,0.8399402,0.028869871,0.062140193,0.0015486011,0.06442065],"study_design_scores_gemma":[0.000025849558,0.000071149334,0.00028058508,0.000007882452,0.000015281697,0.00006338553,0.000012209059,0.9929792,0.001356502,0.00458012,0.000598785,0.000008988335],"about_ca_topic_score_codex":0.0022047206,"about_ca_topic_score_gemma":0.001314327,"teacher_disagreement_score":0.0022047206,"about_ca_system_score_codex":0.00036292066,"about_ca_system_score_gemma":0.00037883126,"threshold_uncertainty_score":0.004383743},"labels":[],"label_agreement":null},{"id":"W2124824913","doi":"10.1016/j.automatica.2006.10.025","title":"Robust computationally efficient control of cooperative closed-chain manipulators with uncertain dynamics","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":71,"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 Ottawa","funders":"","keywords":"Control theory (sociology); Payload (computing); Controller (irrigation); Lyapunov function; Position (finance); Computer science; Orientation (vector space); Robust control; Fuzzy logic; Control engineering; Sliding mode control; Control (management); Control system; Mathematics; Engineering; Artificial intelligence; Nonlinear system; Physics","score_opus":0.013228189703257117,"score_gpt":0.21943897536623522,"score_spread":0.2062107856629781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124824913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061693553,0.00027701954,0.9322048,0.00020151564,0.00006587112,0.00005849944,0.0000308154,0.000330995,0.005137005],"genre_scores_gemma":[0.97468466,0.00007000853,0.022795172,0.00003231626,0.000022564001,0.000095307616,0.00003246181,0.000024876279,0.0022426052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993874,0.00012690735,0.000031489337,0.000106406325,0.00024221028,0.00010568707],"domain_scores_gemma":[0.99901175,0.00049610477,0.00017714566,0.00010019923,0.00016642691,0.000048514634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222341,0.0010514465,0.0009203811,0.0004105858,0.0006838568,0.0013410016,0.0012498373,0.0012646382,0.0020443392],"category_scores_gemma":[0.002634251,0.0005931564,0.00037712327,0.0003334965,0.0011627022,0.0010386265,0.0018145216,0.0008351364,0.00034269146],"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":[0.00017402651,0.000042469743,0.00012663788,0.00006684513,0.000020206138,0.000096146534,0.00007740931,0.9673149,0.004017812,0.00686899,0.00032112512,0.020873548],"study_design_scores_gemma":[0.000020867566,0.000060863786,0.000059599945,0.0000033117317,0.0000037500004,0.000008903911,0.000007264832,0.99708873,0.0006509918,0.0019329794,0.00015938474,0.0000034844747],"about_ca_topic_score_codex":0.0056504915,"about_ca_topic_score_gemma":0.004927009,"teacher_disagreement_score":0.0056504915,"about_ca_system_score_codex":0.0005765886,"about_ca_system_score_gemma":0.0010668844,"threshold_uncertainty_score":0.0112351775},"labels":[],"label_agreement":null},{"id":"W2128172800","doi":"10.1016/j.automatica.2005.11.007","title":"Advertising an event","year":2006,"lang":"en","type":"article","venue":"Automatica","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Advertising; Ticket; Revenue; Control (management); Event (particle physics); Business; Relation (database); State (computer science); Marketing; Computer science; Computer security; Finance","score_opus":0.06282908545102525,"score_gpt":0.37631121021772,"score_spread":0.3134821247666948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128172800","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19988577,0.0033929262,0.03743992,0.013440804,0.005878527,0.00035218557,0.0067570317,0.0017865471,0.7310663],"genre_scores_gemma":[0.8270365,0.0015494396,0.0041764313,0.0010254296,0.0028426233,0.000046326393,0.0020825616,0.00008999759,0.16115056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933285,0.0001261801,0.000034841487,0.00015868426,0.00026311737,0.00008432062],"domain_scores_gemma":[0.9983772,0.0007273811,0.00014943654,0.00028827842,0.00030071876,0.00015685869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069250504,0.0005831779,0.00035998193,0.0015795918,0.0006222602,0.0034015148,0.00039617126,0.0015009679,0.044045165],"category_scores_gemma":[0.0055155004,0.00024435393,0.00045640054,0.0013172238,0.0004078588,0.0022653511,0.00044538078,0.001075801,0.006983357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018457647,0.00079116656,0.030315248,0.0005364104,0.00024007096,0.0020491946,0.00091122405,0.005485001,0.019130832,0.38536495,0.1681864,0.38514382],"study_design_scores_gemma":[0.00023651813,0.0007135427,0.073310584,0.0001634284,0.0005719136,0.0053821527,0.00086967973,0.08540716,0.016240088,0.18555246,0.631325,0.00022746224],"about_ca_topic_score_codex":0.002349452,"about_ca_topic_score_gemma":0.0018901511,"teacher_disagreement_score":0.044045165,"about_ca_system_score_codex":0.00079661875,"about_ca_system_score_gemma":0.0003386981,"threshold_uncertainty_score":0.14734578},"labels":[],"label_agreement":null},{"id":"W2130180074","doi":"10.1016/j.automatica.2015.10.036","title":"Direct adaptive controller for uncertain MIMO dynamic systems with time-varying delay and dead-zone inputs","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":96,"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":"Concordia University","keywords":"Control theory (sociology); Dead zone; MIMO; Parameterized complexity; Controller (irrigation); Convergence (economics); Nonlinear system; Computer science; Stability (learning theory); Dead time; Adaptive control; Dynamic positioning; Mathematics; Engineering; Control (management); Artificial intelligence; Algorithm; Channel (broadcasting)","score_opus":0.01633322380881329,"score_gpt":0.23069756052803744,"score_spread":0.21436433671922414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130180074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04726243,0.0011926541,0.9396049,0.00018706667,0.00047652397,0.00008267362,0.00006512748,0.00056510716,0.010563635],"genre_scores_gemma":[0.9748403,0.0004466113,0.016317008,0.000106726984,0.000085039064,0.00012951608,0.000068096226,0.000022680533,0.007983993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981016,0.000020912832,0.000011081921,0.000048702965,0.0000794236,0.000029828534],"domain_scores_gemma":[0.9996013,0.00013702217,0.000047870082,0.000030951436,0.00016868341,0.000014085044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028585567,0.00075201655,0.00049647846,0.00027780308,0.0004443914,0.0008647619,0.0007971203,0.00058485946,0.0025215994],"category_scores_gemma":[0.00092859275,0.0002925115,0.00032334554,0.00022436737,0.00045370698,0.00040719777,0.0008825929,0.00081696454,0.00039548165],"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":[0.0007133633,0.00017436927,0.00092908344,0.00096911,0.0001878128,0.00047397087,0.000478971,0.71150684,0.048852105,0.012297439,0.0042931614,0.21912374],"study_design_scores_gemma":[0.00007277977,0.0002503491,0.00046134158,0.000018095183,0.000029690378,0.000061620594,0.00002575155,0.99042636,0.004545037,0.0016197964,0.002474576,0.000014772281],"about_ca_topic_score_codex":0.0058220453,"about_ca_topic_score_gemma":0.007830879,"teacher_disagreement_score":0.0058220453,"about_ca_system_score_codex":0.00040236092,"about_ca_system_score_gemma":0.00061766995,"threshold_uncertainty_score":0.011576295},"labels":[],"label_agreement":null},{"id":"W2131062657","doi":"10.1016/j.automatica.2010.01.009","title":"Path following using transverse feedback linearization: Application to a maglev positioning system","year":2010,"lang":"en","type":"article","venue":"Automatica","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quanser (Canada); University of Toronto; University of Waterloo","funders":"","keywords":"Maglev; Control theory (sociology); Feedback linearization; Linearization; Controller (irrigation); Path (computing); Transverse plane; Engineering; Control engineering; Magnetic levitation; Stability (learning theory); Transversal (combinatorics); Control (management); Computer science; Nonlinear system; Mathematics; Physics; Magnet; Mechanical engineering; Structural engineering","score_opus":0.002657404298458156,"score_gpt":0.19503336126248033,"score_spread":0.19237595696402218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131062657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2502369,0.00020703948,0.73807365,0.00021172504,0.00006574636,0.000080834325,0.000037196536,0.0014210447,0.009665804],"genre_scores_gemma":[0.9772799,0.00007867745,0.020355564,0.0000119561655,0.000006705407,0.000021819746,0.000010395426,0.0000144566175,0.0022204497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999423,0.000015603926,0.0000029483722,0.000011573359,0.000019987172,0.0000075357425],"domain_scores_gemma":[0.99979407,0.000090981404,0.000029242372,0.000019998775,0.000054491036,0.000011257521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017838352,0.0003395838,0.00030608635,0.00014677126,0.0005126643,0.00030735513,0.00023837619,0.0005084067,0.0013652744],"category_scores_gemma":[0.00043802155,0.00016916104,0.00021537983,0.00022513692,0.00026778213,0.00020786961,0.0004273356,0.00028433328,0.00018446997],"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":[0.00030724955,0.00009875838,0.0013710033,0.00019654408,0.000051228963,0.0004910232,0.0005651916,0.76399773,0.112396844,0.006530339,0.00093674136,0.11305739],"study_design_scores_gemma":[0.00002447226,0.00036206358,0.0006120662,0.000006375392,0.000019175643,0.00007116711,0.0000418785,0.9843239,0.012649741,0.00065175426,0.0012226315,0.000014918746],"about_ca_topic_score_codex":0.0068132374,"about_ca_topic_score_gemma":0.0057021235,"teacher_disagreement_score":0.0068132374,"about_ca_system_score_codex":0.0002323463,"about_ca_system_score_gemma":0.00049712794,"threshold_uncertainty_score":0.0135471225},"labels":[],"label_agreement":null},{"id":"W2133109179","doi":"10.1016/j.automatica.2007.04.019","title":"A graph-theoretic method to find decentralized fixed modes of LTI systems","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Directed graph; Linear system; LTI system theory; Decentralised system; Gramian matrix; Control theory (sociology); Topology (electrical circuits); Discrete mathematics; Computer science; Combinatorics; Control (management); Eigenvalues and eigenvectors","score_opus":0.00704122624492035,"score_gpt":0.2556290112818025,"score_spread":0.24858778503688214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133109179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003963392,0.000068253205,0.993646,0.00006256419,0.000024419125,0.000028331113,0.00004999253,0.0001224576,0.002034612],"genre_scores_gemma":[0.5342823,0.00039708838,0.45532015,0.00019367009,0.000076889104,0.00041655402,0.00034835192,0.00027651465,0.008688491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99980015,0.00007904898,0.000008810888,0.000044763652,0.0000483091,0.000019003137],"domain_scores_gemma":[0.99887604,0.0007842446,0.00008595833,0.000074212236,0.0001393869,0.000040088944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057749945,0.0012694787,0.00085492944,0.0012922519,0.0006669435,0.00071452494,0.0010877427,0.00094353204,0.0047784504],"category_scores_gemma":[0.0028110165,0.00059973303,0.0009368633,0.0007769072,0.0011429572,0.0010930483,0.0010531197,0.001437552,0.00065460335],"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":[0.000083800915,0.00005148408,0.00029458845,0.00015469246,0.00007617153,0.000078749195,0.00012078833,0.78722936,0.003561165,0.15582299,0.002563621,0.049962614],"study_design_scores_gemma":[0.000012117521,0.000021142807,0.00004681664,0.000011013417,0.000009026464,0.000011136355,0.000011591579,0.9474791,0.00028474058,0.051533367,0.0005706187,0.000009348142],"about_ca_topic_score_codex":0.0033060594,"about_ca_topic_score_gemma":0.0045739533,"teacher_disagreement_score":0.0047784504,"about_ca_system_score_codex":0.0006990327,"about_ca_system_score_gemma":0.000776502,"threshold_uncertainty_score":0.015985489},"labels":[],"label_agreement":null},{"id":"W2135678437","doi":"10.1016/j.automatica.2010.09.007","title":"Preservation of exponential stability for linear non-autonomous functional differential systems","year":2010,"lang":"en","type":"article","venue":"Automatica","topic":"Nonlinear Differential Equations Analysis","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential stability; Mathematics; Exponential function; Linear system; Perturbation (astronomy); Applied mathematics; Differential equation; Exponential growth; Control theory (sociology); Stability (learning theory); Mathematical analysis; Nonlinear system; Computer science; Physics","score_opus":0.06696311019589919,"score_gpt":0.31455286245618885,"score_spread":0.24758975226028967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135678437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41600335,0.0005106922,0.56388867,0.0006672049,0.00009832852,0.000053608044,0.0001282622,0.0002775403,0.018372418],"genre_scores_gemma":[0.9903334,0.00014549433,0.00487867,0.00005024233,0.000026742708,0.000021158652,0.000043189342,0.000030954114,0.004470157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995683,0.00010995176,0.000028004919,0.00009956483,0.000121034165,0.0000731451],"domain_scores_gemma":[0.998108,0.00084525975,0.0002760899,0.00023228225,0.00043105162,0.00010729918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009897428,0.0005378769,0.0004966086,0.0005544852,0.00055818673,0.001323071,0.00066679827,0.00054310716,0.0021317322],"category_scores_gemma":[0.00434137,0.00024801906,0.00048859266,0.00030630792,0.001285595,0.0017011954,0.0018159454,0.001003782,0.0002611465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000593793,0.00020184263,0.0033936664,0.00034588118,0.00016040662,0.0007070732,0.0013585305,0.1393895,0.07447935,0.6936516,0.00210683,0.08361146],"study_design_scores_gemma":[0.000050803155,0.00025346645,0.0015360505,0.000017284787,0.000024963836,0.00030160777,0.00016409002,0.6477462,0.011382959,0.33680123,0.0016938464,0.00002752792],"about_ca_topic_score_codex":0.00067607866,"about_ca_topic_score_gemma":0.00035364117,"teacher_disagreement_score":0.0021317322,"about_ca_system_score_codex":0.0005387112,"about_ca_system_score_gemma":0.00047529262,"threshold_uncertainty_score":0.007131338},"labels":[],"label_agreement":null},{"id":"W2140947684","doi":"10.1016/j.automatica.2005.08.001","title":"Pursuit formations of unicycles","year":2005,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":199,"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":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Modulo; Simple (philosophy); Control theory (sociology); Stability (learning theory); Control (management); Computer science; Mathematics; Artificial intelligence; Epistemology; Philosophy; Discrete mathematics","score_opus":0.010356150581613058,"score_gpt":0.2368769162883277,"score_spread":0.22652076570671464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140947684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5990423,0.00052994484,0.36612546,0.0007121272,0.00022086743,0.00010236842,0.00014763803,0.00030750665,0.03281174],"genre_scores_gemma":[0.9749347,0.00021344177,0.013489916,0.000044936824,0.000031612813,0.000043636377,0.00011742338,0.00004649726,0.011077813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978095,0.000048417016,0.000008518705,0.000050386174,0.00006207566,0.00004966877],"domain_scores_gemma":[0.9993537,0.00014154968,0.000119504104,0.000059728667,0.000113593436,0.00021190196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031368193,0.00041510558,0.00071088644,0.0008500358,0.0010759275,0.0011608569,0.00084916316,0.0007906382,0.00475307],"category_scores_gemma":[0.0022776807,0.00053021556,0.00050615903,0.0005327122,0.0011102912,0.0009383672,0.0027566063,0.00091985776,0.00059913774],"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":[0.00091182196,0.00014737295,0.0048399423,0.00020357805,0.00012356386,0.0006441927,0.0021232427,0.37982586,0.023786431,0.5006468,0.005151119,0.08159612],"study_design_scores_gemma":[0.000067134926,0.00023736001,0.0013343578,0.000032843564,0.00002202192,0.00017319502,0.00063546735,0.8575756,0.002142184,0.13364254,0.0041047973,0.000032449596],"about_ca_topic_score_codex":0.0027401692,"about_ca_topic_score_gemma":0.001999513,"teacher_disagreement_score":0.00475307,"about_ca_system_score_codex":0.00054371863,"about_ca_system_score_gemma":0.00056851574,"threshold_uncertainty_score":0.015900671},"labels":[],"label_agreement":null},{"id":"W2143546539","doi":"10.1016/j.automatica.2008.03.025","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si13.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> model reduction for uncertain switched linear discrete-time systems","year":2008,"lang":"lv","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Algorithm; Vertex (graph theory); Regular polygon; Mathematics; Set (abstract data type); Order (exchange); Computer science; Applied mathematics; Discrete mathematics; Geometry","score_opus":0.019497112753825582,"score_gpt":0.23889193852222831,"score_spread":0.21939482576840275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143546539","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015983215,0.0005476256,0.29101133,0.0041985693,0.0016935837,0.00046746072,0.13262011,0.12634045,0.4415225],"genre_scores_gemma":[0.026836982,0.0021302796,0.14974289,0.0020770258,0.00094100554,0.0010427019,0.18611193,0.09179315,0.5393241],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995346,0.000073277595,0.000048698366,0.000063884116,0.00023671266,0.000042750762],"domain_scores_gemma":[0.99860567,0.00038085427,0.00008654103,0.00032687729,0.0005094146,0.00009063957],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065967906,0.001418984,0.0010908325,0.0019113382,0.00061064557,0.0041944254,0.0025097271,0.001594293,0.6223688],"category_scores_gemma":[0.0033325804,0.0008759913,0.00083976507,0.0028299463,0.00048547014,0.0032473463,0.0014399814,0.002215208,0.51112705],"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":[0.00008840835,0.00003664992,0.00013274918,0.00029718687,0.000012609312,0.00005092085,0.00006438067,0.0010315259,0.0018541747,0.024985926,0.90369415,0.06775132],"study_design_scores_gemma":[0.000052184092,0.000020026413,0.00044833307,0.00007628959,0.000008649983,0.00012421285,0.000038674443,0.008208873,0.006696961,0.01698038,0.9673072,0.00003827691],"about_ca_topic_score_codex":0.0062407567,"about_ca_topic_score_gemma":0.005615234,"teacher_disagreement_score":0.6223688,"about_ca_system_score_codex":0.0015102624,"about_ca_system_score_gemma":0.0010877288,"threshold_uncertainty_score":0.538645},"labels":[],"label_agreement":null},{"id":"W2145357881","doi":"10.1016/j.automatica.2011.09.027","title":"Connectivity preservation for multi-agent rendezvous with link failure","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Alberta","keywords":"Rendezvous; Computer science; Protocol (science); Robustness (evolution); Distributed computing; Topology (electrical circuits); Multi-agent system; Mathematics; Engineering; Artificial intelligence","score_opus":0.07094940301142548,"score_gpt":0.2613204244344225,"score_spread":0.190371021422997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145357881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21244684,0.00058591366,0.77719223,0.00033179458,0.00008181017,0.00008572921,0.0001923244,0.0008622244,0.008221183],"genre_scores_gemma":[0.9648734,0.00017375984,0.03202188,0.00003555831,0.000033923316,0.00004829837,0.00015965245,0.00009534211,0.002558223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994618,0.00012134302,0.00002979114,0.0001254998,0.00012552495,0.00013592909],"domain_scores_gemma":[0.9974366,0.0011071946,0.00031942507,0.00069916714,0.00024782203,0.00018993148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082043937,0.0005952343,0.0009644304,0.00090735045,0.0012761768,0.0010214687,0.0017426452,0.0006586328,0.0020786854],"category_scores_gemma":[0.0040099067,0.00030955186,0.00042034115,0.0009292349,0.0011670942,0.002113735,0.0020735136,0.0008839862,0.00032001015],"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":[0.0014838247,0.00013580994,0.0025103728,0.00026982618,0.00011942432,0.0006431775,0.0006789111,0.7394338,0.019302607,0.09872506,0.0039616153,0.13273561],"study_design_scores_gemma":[0.00006875931,0.0001514978,0.00052949734,0.00001580139,0.000047211408,0.00020322898,0.00017757858,0.9370452,0.006552043,0.05363369,0.0015562467,0.00001917194],"about_ca_topic_score_codex":0.0027633037,"about_ca_topic_score_gemma":0.0023438178,"teacher_disagreement_score":0.0027633037,"about_ca_system_score_codex":0.00057864323,"about_ca_system_score_gemma":0.0006204004,"threshold_uncertainty_score":0.006953895},"labels":[],"label_agreement":null},{"id":"W2158124100","doi":"10.1016/j.automatica.2012.02.034","title":"Infinite chains of kinematic points","year":2012,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":42,"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 Toronto","funders":"","keywords":"Kinematics; Bounded function; Banach space; Hilbert space; Space (punctuation); Chain (unit); State space; Mathematics; Mathematical analysis; Classical mechanics; Physics; Computer science","score_opus":0.01256168211308898,"score_gpt":0.2194101995494929,"score_spread":0.20684851743640392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158124100","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2241649,0.0005212859,0.6898654,0.00047890114,0.00020484545,0.00009973169,0.0004225659,0.0004525028,0.08378991],"genre_scores_gemma":[0.84046465,0.0007416617,0.10221641,0.00021086098,0.00013660245,0.00029730774,0.001108942,0.0002505806,0.054573078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989858,0.00015032478,0.00006624785,0.00029867038,0.00034512745,0.00015383135],"domain_scores_gemma":[0.9972772,0.000969767,0.00042186672,0.00054145645,0.0005465782,0.00024303602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006308213,0.0008972312,0.0008678309,0.0025863133,0.0022698143,0.0029683597,0.0015807624,0.0020804757,0.018100021],"category_scores_gemma":[0.0044060936,0.0010400568,0.0010537454,0.0015806818,0.0030652871,0.0045041274,0.003395678,0.0028727711,0.002638244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052135372,0.000064406595,0.0008134197,0.00010151905,0.000034005334,0.0003796481,0.00034309537,0.021797497,0.0038526095,0.95394903,0.0007294199,0.017883284],"study_design_scores_gemma":[0.000014297103,0.000040084255,0.00040215187,0.00006486757,0.000017973538,0.00014481554,0.0001617603,0.04244711,0.0018481264,0.9484656,0.0063677263,0.00002546664],"about_ca_topic_score_codex":0.0008295485,"about_ca_topic_score_gemma":0.00090788875,"teacher_disagreement_score":0.018100021,"about_ca_system_score_codex":0.0006360557,"about_ca_system_score_gemma":0.0005263341,"threshold_uncertainty_score":0.06055063},"labels":[],"label_agreement":null},{"id":"W2170693876","doi":"10.1016/j.automatica.2008.10.032","title":"A duality-based convex optimization approach to L2 -gain control of piecewise affine slab differential inclusions","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Differential inclusion; Duality (order theory); Mathematics; Convex optimization; Regular polygon; Controller (irrigation); Affine transformation; Control theory (sociology); Convex analysis; Function (biology); Differential (mechanical device); Relaxation (psychology); Dual (grammatical number); Piecewise; Applied mathematics; Mathematical optimization; Mathematical analysis; Computer science; Pure mathematics; Control (management); Engineering; Geometry","score_opus":0.007867422545796709,"score_gpt":0.21170373786491128,"score_spread":0.20383631531911459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170693876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052126874,0.0001776396,0.98946804,0.00013237714,0.000039008028,0.000022309392,0.000022762904,0.000041597672,0.0048836595],"genre_scores_gemma":[0.77518386,0.0006772337,0.20955525,0.00023300365,0.00014743154,0.0002752971,0.00014853488,0.00017031946,0.01360907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99959546,0.0001702738,0.0000141690025,0.000050511528,0.000121174555,0.000048413203],"domain_scores_gemma":[0.9993988,0.00034796586,0.00004619249,0.00003052456,0.00013537437,0.00004109409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013157192,0.0010488769,0.001452912,0.0007608975,0.00044921628,0.0012914317,0.0011596427,0.0010307889,0.0024446854],"category_scores_gemma":[0.0023473597,0.0005586689,0.00088683184,0.0006556242,0.0012123707,0.0010317354,0.002132425,0.0017031125,0.00025345536],"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":[0.00009018679,0.00006459395,0.00013281238,0.00012241551,0.00003577345,0.00005738539,0.00010110637,0.8484621,0.0036016204,0.121557966,0.001485816,0.02428819],"study_design_scores_gemma":[0.0000032408157,0.00002091575,0.000017595197,0.000003936111,0.0000025193278,0.0000058257456,0.000004479449,0.9895504,0.00018989807,0.009834614,0.0003629377,0.0000036645586],"about_ca_topic_score_codex":0.0035152514,"about_ca_topic_score_gemma":0.0020440551,"teacher_disagreement_score":0.0035152514,"about_ca_system_score_codex":0.0011134968,"about_ca_system_score_gemma":0.0011049444,"threshold_uncertainty_score":0.008178294},"labels":[],"label_agreement":null},{"id":"W2174744382","doi":"10.1016/j.automatica.2015.09.021","title":"Errors-in-variables identification in dynamic networks — Consistency results for an instrumental variable approach","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":56,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Instrumental variable; Identification (biology); Variable (mathematics); Noise (video); Consistency (knowledge bases); Computer science; Errors-in-variables models; Control theory (sociology); Observational error; Algorithm; Mathematics; Artificial intelligence; Machine learning; Statistics; Control (management)","score_opus":0.019160483942798397,"score_gpt":0.2396350919331151,"score_spread":0.2204746079903167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174744382","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059865504,0.00030806393,0.9914954,0.00044555904,0.000043004293,0.00002548372,0.0000713263,0.00005584191,0.0015688526],"genre_scores_gemma":[0.72525066,0.0026507042,0.2543384,0.00071052124,0.00062405085,0.00062047894,0.0008899618,0.0005109868,0.014404168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99126774,0.005034408,0.00044191474,0.0015135942,0.001191454,0.00055083365],"domain_scores_gemma":[0.9119595,0.07381695,0.0041331374,0.004526369,0.004893971,0.0006700908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024876833,0.0024051904,0.0027135154,0.0030512835,0.001189076,0.0029090687,0.0045749475,0.0030748623,0.0030456726],"category_scores_gemma":[0.08973182,0.0014968051,0.0027635572,0.0023989356,0.0058269612,0.007270848,0.0064555206,0.0068713003,0.00053367123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030166475,0.000127614,0.0033881778,0.00034754482,0.00072833063,0.00024815084,0.0003749214,0.47599173,0.0014887644,0.4895014,0.0013690058,0.026132619],"study_design_scores_gemma":[0.000033085566,0.000039541555,0.0005819029,0.000056256024,0.00006599571,0.000032059495,0.000045638746,0.77491605,0.0012064262,0.22228526,0.00070346904,0.000034262357],"about_ca_topic_score_codex":0.0037957088,"about_ca_topic_score_gemma":0.0024706528,"teacher_disagreement_score":0.024876833,"about_ca_system_score_codex":0.0013043309,"about_ca_system_score_gemma":0.0023752474,"threshold_uncertainty_score":0.13156283},"labels":[],"label_agreement":null},{"id":"W2180051414","doi":"10.1016/j.automatica.2004.01.026","title":"Adaptive iterative learning control for robot manipulators","year":2004,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":459,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Trajectory; Variable (mathematics); Computer science; Controller (irrigation); Robot; Iterative method; Mathematics; Control (management); Mathematical optimization; Artificial intelligence","score_opus":0.009313447169104387,"score_gpt":0.2157647180613055,"score_spread":0.2064512708922011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180051414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020945901,0.00059823727,0.97282267,0.00017000418,0.00007066845,0.000022510889,0.000010172109,0.00025380313,0.0051060608],"genre_scores_gemma":[0.8632804,0.00070797105,0.11867911,0.00010842313,0.00013654225,0.00017840647,0.000058538044,0.00007442253,0.01677611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996939,0.000072671224,0.000013760038,0.000048027345,0.00013989363,0.000031800555],"domain_scores_gemma":[0.9994591,0.00024573898,0.000085375985,0.000042544016,0.00014458186,0.000022697845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025103,0.0005139366,0.00043929592,0.00033140593,0.0004787244,0.0005545346,0.0009264391,0.0008944643,0.0026543632],"category_scores_gemma":[0.0020652402,0.00029452745,0.0003328739,0.0004226946,0.0009180173,0.0006228381,0.00085189915,0.0008809558,0.00043001547],"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":[0.00012872426,0.000065464505,0.00030149965,0.00015312078,0.00004721391,0.00013371237,0.0002698479,0.75795823,0.014650952,0.04914872,0.0022727577,0.17486966],"study_design_scores_gemma":[0.000019065894,0.00006861912,0.00013940295,0.000007356785,0.0000065471418,0.0000292022,0.000010897204,0.978933,0.001067616,0.018419689,0.0012876109,0.000011001037],"about_ca_topic_score_codex":0.0041310326,"about_ca_topic_score_gemma":0.0029386126,"teacher_disagreement_score":0.0041310326,"about_ca_system_score_codex":0.00046704744,"about_ca_system_score_gemma":0.0005219541,"threshold_uncertainty_score":0.008879781},"labels":[],"label_agreement":null},{"id":"W2180149114","doi":"10.1016/s0005-1098(03)00090-6","title":"Limiting performance of optimal linear discrete filters","year":2003,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":4,"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 Toronto","funders":"","keywords":"Control theory (sociology); Mathematics; Noise (video); Transmission (telecommunications); Filter (signal processing); Dimension (graph theory); Limiting; Zero (linguistics); Discrete time and continuous time; Statistics; Mathematical analysis; Computer science; Engineering; Telecommunications","score_opus":0.007275777251321337,"score_gpt":0.1980830373887023,"score_spread":0.19080726013738097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180149114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18154258,0.0015058124,0.7874747,0.00080926367,0.00015354686,0.00003046766,0.00006144004,0.0008965719,0.02752559],"genre_scores_gemma":[0.9716784,0.000666698,0.02117462,0.00012704947,0.00010573773,0.00004016924,0.00006978794,0.00009074527,0.006046792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858224,0.0003867535,0.000059732552,0.00019404244,0.00054376636,0.00023339406],"domain_scores_gemma":[0.99263823,0.0056353626,0.00042047637,0.0005571632,0.0005873599,0.00016146993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021374025,0.0008560887,0.0007025412,0.0005208572,0.00047725684,0.0029256218,0.0006314089,0.0015595958,0.0035038048],"category_scores_gemma":[0.013647904,0.00046155878,0.00028446506,0.00044635963,0.0018124742,0.0020237986,0.0012184706,0.0009850806,0.0009178442],"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":[0.0020737704,0.00025501064,0.0016649483,0.0005732166,0.00010106466,0.0002609953,0.00056813075,0.5375081,0.06996323,0.23470679,0.00259825,0.14972652],"study_design_scores_gemma":[0.00006165845,0.00015695878,0.0004868012,0.000038553313,0.000029801267,0.00010385072,0.00007195292,0.905677,0.026679335,0.06507155,0.0015860879,0.000036324094],"about_ca_topic_score_codex":0.0012075825,"about_ca_topic_score_gemma":0.00046073235,"teacher_disagreement_score":0.0035038048,"about_ca_system_score_codex":0.0011389311,"about_ca_system_score_gemma":0.0007245188,"threshold_uncertainty_score":0.011721373},"labels":[],"label_agreement":null},{"id":"W2181123679","doi":"10.1016/j.automatica.2015.10.011","title":"Leader–follower stochastic differential game with asymmetric information and applications","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":125,"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":"Program for New Century Excellent Talents in University; Fundo para o Desenvolvimento das Ciências e da Tecnologia; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Stackelberg competition; Differential game; Mathematical economics; Complete information; Stochastic differential equation; Computer science; Newsvendor model; Extensive-form game; Stochastic game; Bayesian game; Mathematical optimization; Mathematics; Representation (politics); Repeated game; Game theory; Applied mathematics; Supply chain","score_opus":0.019461224182486053,"score_gpt":0.20738375755418026,"score_spread":0.1879225333716942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181123679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.119454026,0.0023784689,0.84816885,0.0033194371,0.00036669182,0.000090530135,0.00032376588,0.00012607918,0.025772205],"genre_scores_gemma":[0.9469569,0.0019466559,0.029539159,0.00041402687,0.00043776623,0.00014750156,0.00018232991,0.00004366617,0.020331942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983525,0.00079717167,0.00007609143,0.0002658244,0.00033167168,0.00017674553],"domain_scores_gemma":[0.99155104,0.0061295456,0.0008559425,0.00021394715,0.00078399014,0.000465523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002934303,0.0010328955,0.002258595,0.001046626,0.00086273596,0.0021361734,0.0019132657,0.0032508546,0.003388345],"category_scores_gemma":[0.011221682,0.00059539254,0.0010324661,0.0014920144,0.0019634985,0.0026297874,0.0016552978,0.0020095606,0.0003492406],"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":[0.00012971413,0.00012074185,0.00074088166,0.00014555028,0.00008154476,0.0004936838,0.0001880502,0.22179498,0.0013604201,0.7622724,0.0029544625,0.00971747],"study_design_scores_gemma":[0.00004165397,0.000033944496,0.00020921664,0.000010256544,0.000020905258,0.00011333894,0.000037538783,0.7379117,0.00013725854,0.26055816,0.000898779,0.000027178734],"about_ca_topic_score_codex":0.0028442251,"about_ca_topic_score_gemma":0.0014503587,"teacher_disagreement_score":0.003388345,"about_ca_system_score_codex":0.0013922282,"about_ca_system_score_gemma":0.001391003,"threshold_uncertainty_score":0.015518308},"labels":[],"label_agreement":null},{"id":"W2191559405","doi":"10.1016/j.automatica.2015.10.032","title":"Low-complexity control of hybrid systems using approximate multi-parametric MILP","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":9,"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; University of Toronto; Eidgenössische Technische Hochschule Zürich; Connaught Fund; Sharif University of Technology","keywords":"Reduction (mathematics); Computational complexity theory; Mathematical optimization; Parametric statistics; Mathematics; Monotonic function; Function (biology); Computer science; Algorithm","score_opus":0.04592226976395154,"score_gpt":0.2565841537840232,"score_spread":0.2106618840200717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191559405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012927877,0.00013720262,0.98172957,0.0001386876,0.000033253265,0.000029416427,0.00002501275,0.00015521553,0.0048237853],"genre_scores_gemma":[0.9318705,0.00012642109,0.06528164,0.00006738588,0.00004253648,0.00017569316,0.000058293157,0.000060687133,0.0023167394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995369,0.00017311588,0.000016705655,0.000052219737,0.00015387907,0.00006734575],"domain_scores_gemma":[0.998757,0.0008469762,0.000110965724,0.00009119126,0.00014577965,0.000048077796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012072973,0.0009406396,0.0013020396,0.00049419556,0.0006468688,0.0015743873,0.0009067691,0.0008997935,0.0024872203],"category_scores_gemma":[0.003260191,0.0006372559,0.0006278729,0.00044949492,0.0010519124,0.0010275,0.001787547,0.0014268279,0.00032438946],"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":[0.000031189782,0.000009802665,0.000070386806,0.000026051392,0.000010993896,0.000014582364,0.000022088896,0.9900956,0.0003923415,0.004356219,0.00013398711,0.004836678],"study_design_scores_gemma":[0.0000024804292,0.000006315444,0.000011313604,0.0000016034309,0.0000010500385,0.0000012414517,0.0000024296967,0.9986332,0.00006773238,0.001205549,0.00006590176,0.0000011387259],"about_ca_topic_score_codex":0.0043079862,"about_ca_topic_score_gemma":0.0036202627,"teacher_disagreement_score":0.0043079862,"about_ca_system_score_codex":0.00060438353,"about_ca_system_score_gemma":0.00096256786,"threshold_uncertainty_score":0.008565843},"labels":[],"label_agreement":null},{"id":"W2199063378","doi":"10.1016/j.automatica.2015.10.002","title":"Stability of nonlinear differential systems with state-dependent delayed impulses","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":342,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Exponential stability; Stability (learning theory); State dependent; State (computer science); Mathematics; Differential (mechanical device); Constant (computer programming); Delay differential equation; Differential equation; Computer science; Control (management); Mathematical analysis; Physics; Algorithm","score_opus":0.015457281890387259,"score_gpt":0.21224182443180498,"score_spread":0.19678454254141772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2199063378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47411492,0.001509264,0.50543463,0.0007130193,0.00020478768,0.000047760386,0.00018377825,0.00022161525,0.017570136],"genre_scores_gemma":[0.9958753,0.00016363322,0.0013983542,0.000017234366,0.000018429428,0.000015625197,0.00003138918,0.0000071614636,0.002473026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996966,0.00006920945,0.000013744652,0.000060105038,0.000110218374,0.000050181676],"domain_scores_gemma":[0.9988049,0.0007447726,0.00015623316,0.00005307891,0.00020460163,0.000036393136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052290945,0.0004280707,0.00046918602,0.0004573508,0.00034415527,0.0010273351,0.00044035833,0.00059815805,0.0011721434],"category_scores_gemma":[0.0027038122,0.00024898598,0.00034319004,0.00023580846,0.0010409843,0.000468067,0.0007919865,0.0005745512,0.00013232557],"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":[0.00045983936,0.0000612116,0.0013484352,0.00016993917,0.00009719785,0.00034473368,0.000325322,0.9112453,0.02002066,0.051984727,0.00046446445,0.013478143],"study_design_scores_gemma":[0.000012519274,0.00003509497,0.00038120087,0.000006876148,0.000006293862,0.000021798029,0.000015551526,0.9902699,0.0010557921,0.007984985,0.00020147802,0.000008442013],"about_ca_topic_score_codex":0.0035201504,"about_ca_topic_score_gemma":0.0015581532,"teacher_disagreement_score":0.0035201504,"about_ca_system_score_codex":0.00084101874,"about_ca_system_score_gemma":0.00048433055,"threshold_uncertainty_score":0.006999314},"labels":[],"label_agreement":null},{"id":"W2245236370","doi":"10.1016/j.automatica.2017.03.018","title":"Supervisor localization of discrete-event systems under partial observation","year":2017,"lang":"en","type":"article","venue":"Automatica","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Supervisor; Observability; Supervisory control; Observable; Control theory (sociology); Event (particle physics); Control (management); Computer science; Set (abstract data type); Control engineering; Distributed computing; Mathematics; Engineering; Artificial intelligence; Physics","score_opus":0.05339843828038662,"score_gpt":0.2989616506565377,"score_spread":0.24556321237615106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245236370","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060123887,0.00006606698,0.9385223,0.00007523623,0.000015901578,0.000012654073,0.000026521455,0.0003320911,0.00082534907],"genre_scores_gemma":[0.96749395,0.00006771505,0.031168383,0.000013065936,0.000014873633,0.00004060345,0.000062929124,0.000027619995,0.0011107937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999405,0.00013976761,0.000028526774,0.00016216838,0.00017524968,0.00008931514],"domain_scores_gemma":[0.996855,0.0020320783,0.00040630368,0.00018740432,0.00037577125,0.0001434647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008411802,0.00045333285,0.0008120261,0.00053515326,0.00036006,0.0010499291,0.0007296702,0.000443579,0.0010797632],"category_scores_gemma":[0.003940603,0.00031694837,0.00044971952,0.00033918762,0.0011771758,0.000992589,0.0012237991,0.0006946748,0.00012151164],"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":[0.00046878666,0.000073438765,0.0023705158,0.00016121198,0.00007339171,0.00029037616,0.0003396054,0.880296,0.014675187,0.058716506,0.0003774887,0.04215755],"study_design_scores_gemma":[0.000010716666,0.000036006993,0.0002975179,0.000004654102,0.000009265945,0.000009666626,0.000016942111,0.984166,0.0018169741,0.013524605,0.00010251903,0.0000050411854],"about_ca_topic_score_codex":0.0036249168,"about_ca_topic_score_gemma":0.0029847412,"teacher_disagreement_score":0.0036249168,"about_ca_system_score_codex":0.00066071155,"about_ca_system_score_gemma":0.0013092285,"threshold_uncertainty_score":0.007207632},"labels":[],"label_agreement":null},{"id":"W2249032529","doi":"10.1016/j.automatica.2015.09.013","title":"Local optimization of dynamic programs with guaranteed satisfaction of path constraints","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":70,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Karush–Kuhn–Tucker conditions; Path (computing); Solver; Mathematical optimization; Mathematics; Bounded function; Convergence (economics); Point (geometry); Interior point method; Computer science","score_opus":0.010686258319215164,"score_gpt":0.21893277117581308,"score_spread":0.20824651285659793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2249032529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054124888,0.00018077504,0.93832284,0.00025757198,0.000032255703,0.000047263882,0.00010707532,0.00029588531,0.00663145],"genre_scores_gemma":[0.8469721,0.00024840058,0.14350428,0.00010241679,0.00004392591,0.00029694746,0.00027034586,0.00041623868,0.008145362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885356,0.0005222165,0.00003136522,0.0002009894,0.00022295308,0.00016904598],"domain_scores_gemma":[0.9957846,0.0031384558,0.0003776316,0.00024209113,0.00026977822,0.00018743622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020796133,0.0010364875,0.0015480127,0.000794443,0.0005721339,0.0015786241,0.00147814,0.0011827282,0.00435673],"category_scores_gemma":[0.008169236,0.0008100395,0.0009893676,0.0008020587,0.001788781,0.0018567524,0.002735015,0.002046456,0.00046039565],"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":[0.00015684136,0.000058371937,0.00026327677,0.00012745555,0.000045523542,0.00006953451,0.00008920645,0.89115316,0.0016118032,0.093407586,0.0011335748,0.011883627],"study_design_scores_gemma":[0.000020256371,0.00005249175,0.00005743891,0.000009057974,0.0000071607546,0.000010864294,0.000018550641,0.9629884,0.00049374916,0.036032833,0.00030253213,0.0000067508004],"about_ca_topic_score_codex":0.0028193695,"about_ca_topic_score_gemma":0.0031484251,"teacher_disagreement_score":0.00435673,"about_ca_system_score_codex":0.0015792714,"about_ca_system_score_gemma":0.0017567129,"threshold_uncertainty_score":0.014574766},"labels":[],"label_agreement":null},{"id":"W2292984388","doi":"10.1016/j.automatica.2015.12.029","title":"Distributed finite-time velocity-free attitude coordination control for spacecraft formations","year":2016,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":246,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Angular velocity; Spacecraft; Observer (physics); Control theory (sociology); Angular acceleration; Attitude control; Acceleration; Computer science; Control (management); Engineering; Physics; Control engineering; Aerospace engineering; Classical mechanics","score_opus":0.010700409752214679,"score_gpt":0.2342283388769796,"score_spread":0.22352792912476493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292984388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037185647,0.0001324223,0.9596636,0.00013783194,0.00009081753,0.000012240458,0.00002111888,0.00021745161,0.0025387914],"genre_scores_gemma":[0.97954845,0.000053571923,0.018489337,0.000028453624,0.00002267383,0.00003523385,0.000028665632,0.000025516418,0.0017680894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996735,0.00007772695,0.000011751579,0.00007871934,0.00010842972,0.000049836945],"domain_scores_gemma":[0.99917966,0.00037125472,0.00011634961,0.000082659855,0.00018095218,0.00006916033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005394498,0.00046713854,0.0006353974,0.00027575117,0.0004903848,0.00071614335,0.00097004353,0.00051162136,0.0012589799],"category_scores_gemma":[0.0020324306,0.00027488387,0.0003137983,0.00026998756,0.0009979944,0.0005898912,0.0010546397,0.00074520934,0.00016335485],"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":[0.00016679267,0.000032063184,0.00017002299,0.00003359901,0.000019391726,0.000035970483,0.000068379144,0.96165955,0.0037568463,0.010893698,0.0005929196,0.02257081],"study_design_scores_gemma":[0.000015910868,0.00002492654,0.00004857543,0.0000014796461,0.0000026146627,0.0000049310297,0.0000046005666,0.9963546,0.00047911334,0.0028772613,0.00018300297,0.0000029973537],"about_ca_topic_score_codex":0.0050955233,"about_ca_topic_score_gemma":0.003847528,"teacher_disagreement_score":0.0050955233,"about_ca_system_score_codex":0.0006274356,"about_ca_system_score_gemma":0.00085342786,"threshold_uncertainty_score":0.010131717},"labels":[],"label_agreement":null},{"id":"W2310684275","doi":"10.1016/j.automatica.2016.02.031","title":"Event-based state estimation of linear dynamic systems with unknown exogenous inputs","year":2016,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Universitatea Tehnică „Gheorghe Asachi” din Iaşi; Université de Lorraine","keywords":"Estimator; Control theory (sociology); Mathematics; Event (particle physics); Covariance; Path (computing); Bounded function; Covariance matrix; Linear system; Computer science; Mathematical optimization; Algorithm; Statistics; Artificial intelligence; Control (management)","score_opus":0.003570664205855453,"score_gpt":0.20226222131635238,"score_spread":0.19869155711049694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310684275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053835116,0.00018154281,0.9450665,0.000048381622,0.000028549595,0.00001783813,0.000078491816,0.00029405297,0.00044945822],"genre_scores_gemma":[0.962478,0.00017105446,0.035981536,0.00002390634,0.000025357465,0.000032330594,0.00023740383,0.000019091614,0.0010313119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996118,0.000105568746,0.000035952777,0.0000986784,0.000104503444,0.000043483575],"domain_scores_gemma":[0.9987336,0.0008637211,0.0001382864,0.000092507194,0.00014529795,0.000026550306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060103193,0.00047902297,0.0006823279,0.0005021773,0.00021119496,0.0006820614,0.0006223465,0.0006788866,0.0010352801],"category_scores_gemma":[0.002688461,0.0003291982,0.0003157471,0.00033558262,0.00033078663,0.00089809374,0.00063573424,0.0006982111,0.00024669012],"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":[0.0008739975,0.00017060766,0.0022589401,0.00019319479,0.000108226,0.00018253518,0.000073693445,0.85371196,0.011164992,0.00418958,0.00046094306,0.12661125],"study_design_scores_gemma":[0.000006351593,0.000023495933,0.0004671671,0.0000030301078,0.0000047724643,0.000011138436,0.0000034983923,0.9967644,0.0019458244,0.0006672404,0.00009978655,0.0000032668956],"about_ca_topic_score_codex":0.0022365875,"about_ca_topic_score_gemma":0.0017558335,"teacher_disagreement_score":0.0022365875,"about_ca_system_score_codex":0.00020897533,"about_ca_system_score_gemma":0.00027408937,"threshold_uncertainty_score":0.004447162},"labels":[],"label_agreement":null},{"id":"W2463409156","doi":"10.1016/j.automatica.2018.05.005","title":"Inversion-based output tracking and unknown input reconstruction of square discrete-time linear systems","year":2018,"lang":"en","type":"preprint","venue":"Automatica","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Minimum phase; Control theory (sociology); Inversion (geology); Unit circle; Tracking (education); Observer (physics); Computer science; Filter (signal processing); Mathematics; Phase (matter); Upper and lower bounds; Algorithm; Control (management); Artificial intelligence","score_opus":0.015063547042502439,"score_gpt":0.24443402173483275,"score_spread":0.22937047469233032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463409156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01874351,0.00012945267,0.9793881,0.000092239374,0.000029904815,0.000020182537,0.000020394597,0.0001722721,0.0014039181],"genre_scores_gemma":[0.829381,0.00023279956,0.16528535,0.00009326607,0.000040012827,0.00007438329,0.00014280593,0.000080731144,0.004669599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997173,0.00006632937,0.000013681666,0.00006832345,0.00010156706,0.00003283119],"domain_scores_gemma":[0.99932766,0.00038859705,0.000059860777,0.00007096356,0.00013298703,0.000020084837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006508609,0.0005309208,0.0005495028,0.00024341614,0.00024692735,0.000694065,0.00050060253,0.0010125403,0.0015538578],"category_scores_gemma":[0.0031674844,0.00037539116,0.00037113114,0.00030923655,0.00063734583,0.0007254301,0.00081379147,0.0011860377,0.00035585635],"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":[0.00044667328,0.00010534179,0.0008529467,0.00032694277,0.00007522639,0.00014289081,0.00032252973,0.7199928,0.03431964,0.020358978,0.0012917871,0.22176427],"study_design_scores_gemma":[0.000007998005,0.00002684857,0.000113610455,0.0000047344693,0.0000051441602,0.0000199987,0.000006191257,0.99441963,0.003623788,0.0015291647,0.00023784349,0.000005028687],"about_ca_topic_score_codex":0.0029162436,"about_ca_topic_score_gemma":0.002206934,"teacher_disagreement_score":0.0029162436,"about_ca_system_score_codex":0.00028936027,"about_ca_system_score_gemma":0.0006994688,"threshold_uncertainty_score":0.005798459},"labels":[],"label_agreement":null},{"id":"W2475538231","doi":"10.1016/j.automatica.2016.06.001","title":"Synchronization of linear dynamical networks on time scales: Pinning control via delayed impulses","year":2016,"lang":"en","type":"article","venue":"Automatica","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":171,"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 Waterloo","funders":"","keywords":"Synchronization (alternating current); Control theory (sociology); Computer science; Discrete time and continuous time; Generalization; Scheme (mathematics); Dynamical systems theory; Node (physics); Topology (electrical circuits); Control (management); Mathematics; Physics; Mathematical analysis; Artificial intelligence","score_opus":0.004363506759280477,"score_gpt":0.21319313919353441,"score_spread":0.20882963243425393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475538231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20939837,0.000674968,0.7802065,0.00033612066,0.0002437995,0.00003694358,0.000046977966,0.00023733542,0.008818998],"genre_scores_gemma":[0.9882504,0.00022564798,0.009380263,0.000031732867,0.00003435804,0.000021979164,0.000012420207,0.00001913006,0.002024026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998436,0.000038874372,0.000009804828,0.00005474642,0.00003019814,0.000022884493],"domain_scores_gemma":[0.9994925,0.00024400018,0.000107472406,0.00005877842,0.000051644416,0.0000455763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004181008,0.0003713725,0.00036218239,0.00031564117,0.00026227208,0.0007911982,0.00050812063,0.00041897138,0.0015684785],"category_scores_gemma":[0.002176111,0.00020168531,0.0002501603,0.00027629695,0.0008609839,0.00092645985,0.0008843283,0.0005649888,0.000113102506],"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":[0.00037540443,0.00007632355,0.00094494823,0.00014182343,0.00007501869,0.00024385507,0.00025762714,0.6821677,0.04077378,0.2093857,0.000910287,0.06464754],"study_design_scores_gemma":[0.000016165128,0.000055130444,0.00031922624,0.00000796552,0.000011289835,0.000021210193,0.00002325657,0.9645689,0.0024100023,0.032025974,0.0005280818,0.000012752911],"about_ca_topic_score_codex":0.0010281334,"about_ca_topic_score_gemma":0.0007126263,"teacher_disagreement_score":0.0015684785,"about_ca_system_score_codex":0.00036634866,"about_ca_system_score_gemma":0.0002677127,"threshold_uncertainty_score":0.0052470565},"labels":[],"label_agreement":null},{"id":"W2491284563","doi":"10.1016/j.automatica.2016.05.018","title":"Exponential convergence of a nonlinear attitude estimator","year":2016,"lang":"en","type":"article","venue":"Automatica","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Estimator; Minimum-variance unbiased estimator; Stein's unbiased risk estimate; Efficient estimator; Mathematics; Control theory (sociology); Convergence (economics); Minimax estimator; Rate of convergence; Nonlinear system; Invariant estimator; Bias of an estimator; Trimmed estimator; Exponential function; Extremum estimator; Mean squared error; Applied mathematics; Computer science; Statistics; M-estimator; Mathematical analysis; Physics; Artificial intelligence; Key (lock)","score_opus":0.0060794232211052145,"score_gpt":0.20823031867949499,"score_spread":0.20215089545838977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491284563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049913563,0.00024364059,0.94596267,0.00030778034,0.000095108146,0.00001918653,0.000035074027,0.000093601666,0.0033293832],"genre_scores_gemma":[0.8976912,0.0005997533,0.07989893,0.00014884843,0.00013872757,0.00006917845,0.00017984983,0.00013269721,0.02114091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995024,0.00014663093,0.000023801103,0.00012118131,0.00017019465,0.000035754023],"domain_scores_gemma":[0.9968604,0.0020448908,0.0001500586,0.00015026022,0.00071445276,0.00007993347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016840984,0.0006206139,0.00046645774,0.000432963,0.00022868322,0.0008414994,0.00062857755,0.0010732025,0.0023157783],"category_scores_gemma":[0.01000465,0.0003591414,0.00038016512,0.00028068584,0.0011098344,0.0013075616,0.0016181067,0.0011261603,0.0004844587],"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":[0.00045868917,0.000113541006,0.0034793615,0.0004546476,0.00012385086,0.00034358507,0.00049771817,0.7552651,0.040972196,0.107000604,0.0022041663,0.08908652],"study_design_scores_gemma":[0.000007692319,0.000028656468,0.00038002068,0.000007940905,0.0000057313046,0.000044345423,0.0000120660725,0.99303716,0.0014477188,0.0046547637,0.0003656018,0.000008407649],"about_ca_topic_score_codex":0.0031088444,"about_ca_topic_score_gemma":0.0013967715,"teacher_disagreement_score":0.0031088444,"about_ca_system_score_codex":0.0005828561,"about_ca_system_score_gemma":0.0006390836,"threshold_uncertainty_score":0.008906484},"labels":[],"label_agreement":null},{"id":"W2515477780","doi":"10.1016/j.automatica.2016.06.027","title":"Economic model predictive control with extended horizon","year":2016,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":51,"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 Alberta","funders":"","keywords":"Horizon; Model predictive control; Control theory (sociology); Controller (irrigation); Terminal (telecommunication); Stability (learning theory); Convergence (economics); Dissipative system; Bounded function; Time horizon; Construct (python library); Exponential stability; Extension (predicate logic); Mathematical optimization; Control (management); Mathematics; Computer science; Economics; Nonlinear system","score_opus":0.002895208801592849,"score_gpt":0.18056762176481977,"score_spread":0.17767241296322692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515477780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02644462,0.0010533134,0.9558813,0.0005761326,0.00031846875,0.000039761715,0.00018695013,0.00022193957,0.015277495],"genre_scores_gemma":[0.96135974,0.0006083151,0.02792235,0.00010042193,0.00012048493,0.00011102939,0.0001698112,0.00004775278,0.009560089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956065,0.00016531565,0.00001927441,0.00007309085,0.00012976071,0.000051821313],"domain_scores_gemma":[0.99918264,0.00048792583,0.00009058588,0.00008210198,0.0001307443,0.000025940595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010592747,0.0009562643,0.0013385275,0.0004063778,0.00044796767,0.0013210098,0.001204159,0.0010236888,0.0035710502],"category_scores_gemma":[0.00292438,0.0005663389,0.0006188582,0.0007268812,0.00091476657,0.0019392661,0.001248207,0.0016288217,0.00035838626],"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":[0.000050943476,0.000018410288,0.00009283209,0.00004752341,0.000031380816,0.00004537216,0.000012948662,0.9617644,0.00014560092,0.029082164,0.00061068975,0.008097743],"study_design_scores_gemma":[0.0000055770497,0.000008763411,0.00004598351,0.0000035513635,0.00000376828,0.0000039761667,0.000001434176,0.98700815,0.000065144544,0.012564918,0.0002853854,0.0000032343337],"about_ca_topic_score_codex":0.005201538,"about_ca_topic_score_gemma":0.0038581481,"teacher_disagreement_score":0.005201538,"about_ca_system_score_codex":0.00088303495,"about_ca_system_score_gemma":0.0008456321,"threshold_uncertainty_score":0.01194638},"labels":[],"label_agreement":null},{"id":"W2519129141","doi":"10.1016/j.automatica.2017.07.064","title":"Distributed Nash equilibrium seeking for aggregative games with coupled constraints","year":2017,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":322,"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 Toronto","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Nash equilibrium; Convergence (economics); Lyapunov function; Mathematical optimization; Distributed algorithm; Computer science; Information exchange; Simple (philosophy); Variational inequality; Multi-agent system; Best response; Mathematics; Topology (electrical circuits); Distributed computing; Nonlinear system; Economics","score_opus":0.02008389679764252,"score_gpt":0.2691156533546784,"score_spread":0.24903175655703588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519129141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0663314,0.00016550334,0.92458785,0.00033071183,0.000038700375,0.00009741035,0.00005313168,0.00007387248,0.008321428],"genre_scores_gemma":[0.9385086,0.00013809858,0.054934807,0.00009374028,0.000028766339,0.0002197958,0.00006206026,0.00004606643,0.0059680035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870706,0.0006070299,0.000057760877,0.00022179732,0.00020430784,0.00020212603],"domain_scores_gemma":[0.99443203,0.004343291,0.00042182917,0.00014898946,0.00039775015,0.00025618705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003144465,0.001645299,0.0025753297,0.00095385796,0.0011404537,0.002439363,0.0020139683,0.002133184,0.0027600203],"category_scores_gemma":[0.008410269,0.0013505142,0.0009159423,0.0011096448,0.0021272646,0.0018895854,0.003941655,0.0017794956,0.0002668417],"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":[0.00009128168,0.0000620782,0.00033187168,0.000070609036,0.00007349338,0.000120277015,0.00012195286,0.9595552,0.0006814918,0.03349784,0.00041321677,0.0049807797],"study_design_scores_gemma":[0.00001572294,0.000016506125,0.000034598535,0.000003631313,0.000007831117,0.000007785031,0.000018867924,0.98516786,0.000085516804,0.014546317,0.00009021734,0.0000051810503],"about_ca_topic_score_codex":0.0077600437,"about_ca_topic_score_gemma":0.0073434836,"teacher_disagreement_score":0.0077600437,"about_ca_system_score_codex":0.0017250025,"about_ca_system_score_gemma":0.0016718579,"threshold_uncertainty_score":0.016629696},"labels":[],"label_agreement":null},{"id":"W2528323437","doi":"10.1016/j.automatica.2018.09.019","title":"On the construction of safe controllable regions for affine systems with applications to robotics","year":2016,"lang":"en","type":"preprint","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dynamic Systems Analysis (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Controllability; Affine transformation; Soundness; Block (permutation group theory); Bounded function; Robot; Construct (python library); Computer science; Algorithm; Robotics; Acceleration; Topology (electrical circuits); Mathematics; Artificial intelligence","score_opus":0.010560179085253172,"score_gpt":0.2219164581162014,"score_spread":0.21135627903094822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528323437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011196139,0.00053019455,0.98308575,0.00019237274,0.000032993365,0.0000514333,0.00006685851,0.0001003269,0.004743912],"genre_scores_gemma":[0.4657764,0.002425422,0.51908654,0.00038583085,0.00020412174,0.0003424721,0.00053057,0.000446047,0.0108026005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879396,0.00050999655,0.000049884544,0.00019579729,0.0003488476,0.00010145805],"domain_scores_gemma":[0.99680305,0.0022382606,0.00025510587,0.00022622,0.00031452195,0.00016281867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019714236,0.0013607492,0.0013188274,0.001475454,0.0008813638,0.0012833636,0.0013609682,0.0009990213,0.0038489448],"category_scores_gemma":[0.0069621443,0.00089845405,0.001632785,0.0007401028,0.0029490523,0.0023096893,0.0045854505,0.0032006693,0.00068686105],"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":[0.00023622466,0.00007889568,0.0006339945,0.0004368219,0.0000657076,0.00022226665,0.0007040931,0.20540278,0.009892589,0.7038804,0.0030567276,0.07538953],"study_design_scores_gemma":[0.00003411365,0.00018163097,0.00025780252,0.00007409922,0.000022592176,0.000109164415,0.0000957537,0.3626943,0.0034649149,0.6269725,0.0060600876,0.000033049928],"about_ca_topic_score_codex":0.0013917151,"about_ca_topic_score_gemma":0.001034898,"teacher_disagreement_score":0.0038489448,"about_ca_system_score_codex":0.0006165848,"about_ca_system_score_gemma":0.00081560685,"threshold_uncertainty_score":0.012875974},"labels":[],"label_agreement":null},{"id":"W2580079015","doi":"10.1016/j.automatica.2016.12.027","title":"Planning for optimal control and performance certification in nonlinear systems with controlled or uncontrolled switches","year":2017,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":14,"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":"Agence Universitaire de la Francophonie; Agence Nationale de la Recherche; Pacific Institute for Climate Solutions","keywords":"Mathematical optimization; Computer science; Time horizon; Constraint (computer-aided design); Optimal control; Dwell time; Nonlinear system; Consistency (knowledge bases); Control (management); Convergence (economics); Upper and lower bounds; Control theory (sociology); Mathematics; Economics","score_opus":0.01572758106045713,"score_gpt":0.24649822408924613,"score_spread":0.230770643028789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580079015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025402928,0.00020872439,0.96404415,0.00023239454,0.000052657906,0.00008320364,0.00006200755,0.0002047529,0.009709192],"genre_scores_gemma":[0.9328926,0.00015222088,0.06361277,0.000045658817,0.000024076528,0.000113526236,0.00007361125,0.000053162617,0.0030324722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952006,0.0001911311,0.00001753313,0.000086994965,0.00010530388,0.000079023],"domain_scores_gemma":[0.99892884,0.00074757996,0.000088550325,0.000066874185,0.00012464478,0.000043367298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013167916,0.00075474905,0.0007682842,0.0004696827,0.0005981549,0.0012076676,0.0007550904,0.0007967785,0.003458036],"category_scores_gemma":[0.0034001088,0.00045392953,0.00044252296,0.00037683398,0.0015897137,0.0010296518,0.0011563975,0.0010390972,0.0002600845],"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":[0.0002037188,0.000044854994,0.00025032356,0.000102426864,0.000018334726,0.000078487734,0.00008895971,0.8797037,0.0013165926,0.09361195,0.00093523244,0.023645407],"study_design_scores_gemma":[0.000011890845,0.000029264967,0.000071823975,0.000009032354,0.0000038452904,0.000005220073,0.0000130129165,0.9705402,0.00055976456,0.028460339,0.00029022153,0.000005477825],"about_ca_topic_score_codex":0.0072180424,"about_ca_topic_score_gemma":0.0053637186,"teacher_disagreement_score":0.0072180424,"about_ca_system_score_codex":0.0009968318,"about_ca_system_score_gemma":0.0017803132,"threshold_uncertainty_score":0.014352024},"labels":[],"label_agreement":null},{"id":"W2582646431","doi":"10.1016/j.automatica.2016.12.025","title":"Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms","year":2017,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":162,"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 Waterloo","funders":"Intel Corporation","keywords":"Submodular set function; Greedy algorithm; A priori and a posteriori; Kalman filter; Mathematical optimization; Algorithm; Covariance; Linear dynamical system; Greedy randomized adaptive search procedure; Dynamical systems theory; Selection (genetic algorithm); Set (abstract data type); TRACE (psycholinguistics); Computer science; Mathematics; Linear system; Machine learning; Artificial intelligence","score_opus":0.07720441144447505,"score_gpt":0.30114362645509596,"score_spread":0.22393921501062092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582646431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064348704,0.0008185574,0.99122626,0.00046365015,0.000037419668,0.00003945902,0.000043157677,0.0001248486,0.00081174675],"genre_scores_gemma":[0.51843256,0.0035629882,0.47148955,0.0005072679,0.00046297853,0.00053623837,0.0003887487,0.00024068491,0.0043790303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99640876,0.0017330927,0.00019005993,0.0005151027,0.00093599147,0.00021697827],"domain_scores_gemma":[0.9696315,0.027242422,0.0008242432,0.0011168261,0.0009944186,0.00019054726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005812793,0.0013306114,0.0022920978,0.001282262,0.0009552731,0.0024562927,0.0017315017,0.0016247181,0.0018551808],"category_scores_gemma":[0.029464684,0.0010125885,0.00094799564,0.0021589755,0.0025393916,0.005803297,0.0023904287,0.0024812592,0.00055583636],"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":[0.00053220376,0.00010441764,0.0015205556,0.00041769765,0.00016666426,0.00007762399,0.00024199791,0.6797283,0.002601318,0.13144359,0.0030490903,0.18011647],"study_design_scores_gemma":[0.00003122201,0.000031848438,0.00025050907,0.000019420904,0.000018823133,0.000027171256,0.000020277103,0.91705555,0.00075672043,0.08114533,0.0006251053,0.00001796637],"about_ca_topic_score_codex":0.006151648,"about_ca_topic_score_gemma":0.0052302703,"teacher_disagreement_score":0.006151648,"about_ca_system_score_codex":0.002152659,"about_ca_system_score_gemma":0.0027904275,"threshold_uncertainty_score":0.030741334},"labels":[],"label_agreement":null},{"id":"W2604292427","doi":"10.1016/j.automatica.2017.09.016","title":"Distributed Nash equilibrium seeking in networked graphical games","year":2017,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nash equilibrium; Best response; Mathematical optimization; Graph; Computer science; Correlated equilibrium; Convergence (economics); Epsilon-equilibrium; Game theory; Adjacency matrix; Gossip; Distributed algorithm; Mathematical economics; Theoretical computer science; Equilibrium selection; Mathematics; Repeated game; Distributed computing; Economics","score_opus":0.01672577432875929,"score_gpt":0.2643119245474964,"score_spread":0.24758615021873712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604292427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17291178,0.00022283396,0.8024273,0.0009932035,0.00007208182,0.00010748481,0.00005424194,0.0001670688,0.023043973],"genre_scores_gemma":[0.971619,0.00011557013,0.019625723,0.00008121663,0.00002179692,0.00010754255,0.000027419937,0.00002965611,0.008371988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890935,0.0005778842,0.0000278211,0.0001689426,0.00017316236,0.00014277363],"domain_scores_gemma":[0.99669135,0.0024132626,0.00032942495,0.000101953134,0.00021201734,0.00025198582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015635005,0.0009042645,0.001343962,0.0006959046,0.0008551042,0.0017259634,0.0015319336,0.0016781299,0.0037015753],"category_scores_gemma":[0.007444919,0.0006045812,0.0006008046,0.0005443111,0.0023440477,0.002041894,0.002571165,0.0012263557,0.00032080864],"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":[0.00019419573,0.000101121856,0.0006396708,0.000102893515,0.00006058959,0.00018523162,0.0003481203,0.74420375,0.002033974,0.24077186,0.0012038383,0.010154674],"study_design_scores_gemma":[0.000047203237,0.0000341715,0.00008056234,0.0000063436173,0.00000899202,0.000017616538,0.000044777007,0.9020164,0.00020264885,0.09726418,0.00026786103,0.000009225544],"about_ca_topic_score_codex":0.0045687067,"about_ca_topic_score_gemma":0.004182012,"teacher_disagreement_score":0.0045687067,"about_ca_system_score_codex":0.0015144013,"about_ca_system_score_gemma":0.0012296706,"threshold_uncertainty_score":0.012382984},"labels":[],"label_agreement":null},{"id":"W2607930369","doi":"10.1016/j.automatica.2017.03.009","title":"Accurate clock synchronization in wireless sensor networks with bounded noise","year":2017,"lang":"en","type":"article","venue":"Automatica","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":50,"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 Victoria","funders":"General Research Fund of Shanghai Normal University; National Key Research and Development Program of China; Research Grants Council, University Grants Committee; National Natural Science Foundation of China","keywords":"Clock synchronization; Self-clocking signal; Synchronization (alternating current); Computer science; Clock skew; Clock drift; Bounded function; Noise (video); Skew; Wireless sensor network; Real-time computing; Algorithm; Control theory (sociology); Jitter; Mathematics; Clock signal; Channel (broadcasting); Telecommunications; Artificial intelligence; Computer network","score_opus":0.009321948145984532,"score_gpt":0.2371457139023825,"score_spread":0.22782376575639798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607930369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022502312,0.00058412383,0.97537154,0.00024816694,0.0000970451,0.000009487812,0.000030979667,0.00013824509,0.001018108],"genre_scores_gemma":[0.9306127,0.0011150552,0.06517995,0.00012343176,0.00017491354,0.00007827833,0.00009078125,0.00009402883,0.0025307855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981949,0.0005216214,0.00010452016,0.0003589086,0.0006596164,0.00016059799],"domain_scores_gemma":[0.99423295,0.0038476507,0.00074154796,0.000496135,0.00056821003,0.00011349471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019281573,0.00063497794,0.0007885995,0.00078292715,0.0004820548,0.0012495677,0.0010610921,0.00091972976,0.0006812201],"category_scores_gemma":[0.014825331,0.00041614682,0.00025205116,0.0011428822,0.0014098268,0.002678702,0.0012763882,0.0012308143,0.00020504912],"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":[0.00037302446,0.00004208826,0.0007883437,0.00017631153,0.00004449949,0.00015909321,0.00023653581,0.7837617,0.0150271,0.13356057,0.0010144771,0.06481632],"study_design_scores_gemma":[0.000016547532,0.000030622512,0.0001483377,0.000013693079,0.0000099102,0.000027750988,0.000017535978,0.96813756,0.0021730815,0.02885021,0.00056618353,0.0000085845495],"about_ca_topic_score_codex":0.0017674109,"about_ca_topic_score_gemma":0.0014172123,"teacher_disagreement_score":0.0019281573,"about_ca_system_score_codex":0.0008071674,"about_ca_system_score_gemma":0.001003445,"threshold_uncertainty_score":0.010197163},"labels":[],"label_agreement":null},{"id":"W2771039244","doi":"10.1016/j.automatica.2019.108691","title":"A Lie bracket approximation approach to distributed optimization over directed graphs","year":2019,"lang":"en","type":"preprint","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Kingston Health Sciences Centre","funders":"","keywords":"Computation; Saddle point; Mathematical optimization; Simple (philosophy); Computer science; Bracket; Lie group; Topological graph theory; Invariant (physics); Graph; Mathematics; Topology (electrical circuits); Theoretical computer science; Algorithm; Voltage graph; Pure mathematics; Combinatorics","score_opus":0.016292493982032447,"score_gpt":0.2423224211310963,"score_spread":0.22602992714906386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771039244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068833814,0.00020620949,0.98743314,0.00027774333,0.000081345876,0.000019605703,0.00003928014,0.00007170141,0.0049875323],"genre_scores_gemma":[0.5521647,0.0012372594,0.41634107,0.00040314227,0.00041839445,0.00033692262,0.0002996219,0.00036160176,0.02843734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993074,0.0003300352,0.000020758667,0.00007462008,0.00021542466,0.000051866715],"domain_scores_gemma":[0.9990387,0.0005405971,0.00005834608,0.000101273115,0.00017561569,0.00008548498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014155734,0.00078493555,0.0015471014,0.00096376904,0.00064121315,0.0012895358,0.0017954842,0.0011441283,0.0037076895],"category_scores_gemma":[0.0034715976,0.0005183867,0.0008012165,0.0014259197,0.0012653308,0.0019469887,0.0018509924,0.0020563859,0.00069095165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029776527,0.000055372053,0.00014218639,0.000044930566,0.000038394588,0.000046482142,0.00007135527,0.36687145,0.0006060024,0.6182746,0.0018530616,0.011966365],"study_design_scores_gemma":[0.0000049802,0.000006848194,0.000015845742,0.000003110775,0.0000034381362,0.0000042210418,0.000007500676,0.85248756,0.00008095239,0.14671327,0.00066931394,0.0000030146182],"about_ca_topic_score_codex":0.006010309,"about_ca_topic_score_gemma":0.0047301175,"teacher_disagreement_score":0.006010309,"about_ca_system_score_codex":0.0013383687,"about_ca_system_score_gemma":0.0010996279,"threshold_uncertainty_score":0.012403429},"labels":[],"label_agreement":null},{"id":"W2789401778","doi":"10.1016/j.automatica.2017.12.010","title":"Priority-free conditionally-preemptive scheduling of modular sporadic real-time systems","year":2018,"lang":"en","type":"article","venue":"Automatica","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Science and Technology Development Fund; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Modular design; Automaton; Computer science; Scheduling (production processes); Preemption; Distributed computing; Real-time operating system; Real-time computing; Fixed-priority pre-emptive scheduling; Supervisory control theory; Dynamic priority scheduling; Rate-monotonic scheduling; Supervisory control; Theoretical computer science; Embedded system; Control (management); Programming language; Mathematics; Mathematical optimization; Schedule; Operating system; Artificial intelligence","score_opus":0.010231371481794389,"score_gpt":0.2439742486604671,"score_spread":0.2337428771786727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789401778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4349648,0.00027625664,0.55833894,0.00017953302,0.000113497204,0.00006056666,0.0001036082,0.001359412,0.0046034018],"genre_scores_gemma":[0.96879834,0.000047585858,0.02972408,0.000027295004,0.000025581881,0.00002435162,0.000077376084,0.00007270023,0.0012026048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955744,0.000093176975,0.000024021698,0.000059829672,0.00012149208,0.00014391249],"domain_scores_gemma":[0.9985877,0.00051788084,0.00019822348,0.00020274702,0.0002918182,0.0002016529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010957076,0.0004524625,0.00039016342,0.0003986645,0.0005252273,0.00057308766,0.00088041706,0.00021741235,0.0022744364],"category_scores_gemma":[0.002877062,0.00029306868,0.00028317244,0.00029046394,0.00045144875,0.000549907,0.00060210755,0.0006349846,0.00026601664],"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":[0.0027666842,0.00037436484,0.0029608852,0.0003634576,0.00007785879,0.00043448026,0.0005027721,0.6238936,0.113454044,0.083994895,0.004078702,0.16709816],"study_design_scores_gemma":[0.00009897607,0.00024013725,0.0008081756,0.000011413276,0.000028392,0.000059368347,0.000021625754,0.9682311,0.012383213,0.01694741,0.0011527089,0.000017386295],"about_ca_topic_score_codex":0.0019729808,"about_ca_topic_score_gemma":0.0029734587,"teacher_disagreement_score":0.0022744364,"about_ca_system_score_codex":0.0005284245,"about_ca_system_score_gemma":0.001616149,"threshold_uncertainty_score":0.0076087117},"labels":[],"label_agreement":null},{"id":"W2794165757","doi":"10.1016/j.automatica.2018.11.029","title":"An integral control formulation of mean field game based large scale coordination of loads in smart grids","year":2018,"lang":"en","type":"preprint","venue":"Automatica","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Robustness (evolution); Nash equilibrium; Computer science; Smoothing; Piecewise; Control theory (sociology); Mathematics; Control (management); Mathematical analysis","score_opus":0.006519868595403304,"score_gpt":0.23225839388576028,"score_spread":0.22573852529035698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794165757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030684086,0.0003528409,0.95062363,0.0010427973,0.00019123056,0.00007451147,0.00009652143,0.00009399229,0.016840363],"genre_scores_gemma":[0.9487536,0.00026975505,0.036523536,0.00023493946,0.00010755892,0.00016100238,0.00006998037,0.00007044065,0.013809232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943715,0.00022904934,0.000015325648,0.000109566914,0.00011549221,0.00009338441],"domain_scores_gemma":[0.99855,0.00093395484,0.00011830488,0.00004393948,0.0001994474,0.00015429071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017824906,0.0011088849,0.0016988695,0.00050058967,0.0005139058,0.0019139069,0.001794575,0.0022232092,0.0053495443],"category_scores_gemma":[0.0040633664,0.0006398439,0.0006592825,0.00048633027,0.0018350711,0.0015244358,0.0017354072,0.0018325007,0.0002438761],"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":[0.00006088259,0.00004998732,0.00019611877,0.000064693086,0.000028129776,0.0000778349,0.00006659801,0.89407265,0.00075855426,0.09912,0.0015076025,0.0039970567],"study_design_scores_gemma":[0.000007704306,0.000011506938,0.000024657073,0.000002246158,0.000003422262,0.0000044906774,0.0000070271235,0.9902934,0.000036329817,0.009463819,0.00014253192,0.000002852108],"about_ca_topic_score_codex":0.008045021,"about_ca_topic_score_gemma":0.006093737,"teacher_disagreement_score":0.008045021,"about_ca_system_score_codex":0.0017725992,"about_ca_system_score_gemma":0.0015441711,"threshold_uncertainty_score":0.017895997},"labels":[],"label_agreement":null},{"id":"W2802186695","doi":"10.1016/j.automatica.2018.04.003","title":"Variational Bayesian approach for ARX systems with missing observations and varying time-delays","year":2018,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; Qinglan Project of Jiangsu Province of China; University of Alberta; Alberta Innovates - Technology Futures","keywords":"Bayesian probability; Missing data; Kalman filter; Computer science; Sampling (signal processing); Mathematics; Control theory (sociology); Algorithm; Filter (signal processing); Artificial intelligence; Machine learning; Computer vision","score_opus":0.01443761097336302,"score_gpt":0.1977412773617475,"score_spread":0.18330366638838447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802186695","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040761763,0.0006114769,0.9935546,0.0003387232,0.00004932712,0.00002172809,0.000093261944,0.000069316375,0.001185531],"genre_scores_gemma":[0.6771478,0.0037938096,0.28677237,0.0006138725,0.00065438874,0.00051710306,0.0012511002,0.00043141513,0.028818162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987685,0.00045917497,0.00006822697,0.00024288398,0.00031183648,0.00014938452],"domain_scores_gemma":[0.9948224,0.00398777,0.00032479432,0.00018445135,0.00053454115,0.000146062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037706152,0.0015487256,0.0030916943,0.0012399015,0.0007660737,0.0020694742,0.0033873937,0.0030593113,0.003473213],"category_scores_gemma":[0.009129316,0.002548492,0.0019661589,0.0016434009,0.0022128304,0.0026496928,0.002589177,0.0031735545,0.00048255804],"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":[0.000042720214,0.000023402898,0.00028467394,0.00010952782,0.00011868708,0.00007233702,0.00008030471,0.91859674,0.0004631483,0.071234494,0.00060835824,0.008365616],"study_design_scores_gemma":[0.000006663428,0.000007952689,0.00008078515,0.0000065187296,0.000010857666,0.000008980109,0.000007861971,0.9823302,0.000056963177,0.017173512,0.0002995333,0.000010069673],"about_ca_topic_score_codex":0.029751318,"about_ca_topic_score_gemma":0.023496155,"teacher_disagreement_score":0.029751318,"about_ca_system_score_codex":0.0024919014,"about_ca_system_score_gemma":0.0032108922,"threshold_uncertainty_score":0.0591563},"labels":[],"label_agreement":null},{"id":"W2886676842","doi":"10.1016/j.automatica.2018.07.029","title":"Boundary feedback stabilization of a flexible wing model under unsteady aerodynamic loads","year":2018,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Wing; Boundary (topology); Aerodynamics; Lyapunov function; Timoshenko beam theory; Bending; Euler's formula; Boundary value problem; Beam (structure); Stability (learning theory); Bernoulli's principle; Mathematics; Structural engineering; Engineering; Computer science; Mechanics; Physics; Mathematical analysis; Control (management); Aerospace engineering","score_opus":0.014681294976997383,"score_gpt":0.2367975244831709,"score_spread":0.22211622950617352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886676842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7499909,0.0003556673,0.22715819,0.0006969703,0.00013389144,0.00006118818,0.00020651503,0.00041152322,0.020985167],"genre_scores_gemma":[0.9958668,0.000043479144,0.0010405224,0.000019726482,0.000008670076,0.000021324959,0.000034736677,0.000014136627,0.0029507116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999045,0.000024006997,0.0000031772347,0.0000242017,0.000020511274,0.00002349206],"domain_scores_gemma":[0.9997569,0.00009645166,0.000051414547,0.000015930187,0.00005107436,0.000028201153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146336,0.00074641017,0.00082796434,0.00038686712,0.0006734109,0.00083080155,0.0006871484,0.0017192054,0.0021941587],"category_scores_gemma":[0.0006502009,0.0002997092,0.000509652,0.0001835928,0.0012691765,0.0005019105,0.0012951178,0.0006220153,0.00018306365],"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":[0.00010465299,0.000036915517,0.0004036158,0.00004599673,0.000026661313,0.00015125102,0.00009033471,0.9837008,0.007055466,0.0061639743,0.00025547293,0.0019647875],"study_design_scores_gemma":[0.00001293545,0.000024285471,0.0001194001,0.000002366687,0.0000038286817,0.0000037589778,0.000010443069,0.9987764,0.00031256452,0.0006652329,0.000065420805,0.0000032977234],"about_ca_topic_score_codex":0.013814424,"about_ca_topic_score_gemma":0.005808105,"teacher_disagreement_score":0.013814424,"about_ca_system_score_codex":0.00048000773,"about_ca_system_score_gemma":0.000609336,"threshold_uncertainty_score":0.027468026},"labels":[],"label_agreement":null},{"id":"W2889215878","doi":"10.1016/j.automatica.2018.01.023","title":"Transmit power control and remote state estimation with sensor networks: A Bayesian inference approach","year":2018,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":30,"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 Alberta","funders":"","keywords":"Estimator; Control theory (sociology); Transmitter power output; Network packet; Controller (irrigation); Power control; Minimum-variance unbiased estimator; Computer science; Maximum a posteriori estimation; Wireless sensor network; Kalman filter; Mathematical optimization; Mathematics; Power (physics); Statistics; Control (management); Artificial intelligence; Telecommunications","score_opus":0.0054433876710756135,"score_gpt":0.21642639946614753,"score_spread":0.21098301179507192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889215878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021298649,0.00023909473,0.9967648,0.00016981168,0.000017647546,0.000011106088,0.000021678303,0.00005581476,0.0005903351],"genre_scores_gemma":[0.6813084,0.0025280777,0.3059237,0.00033743598,0.00066207256,0.00032244335,0.00030311686,0.00020948578,0.008405304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983602,0.000623633,0.00008184966,0.00044184388,0.00038317795,0.00010918301],"domain_scores_gemma":[0.9942602,0.004764826,0.00036144996,0.00022339853,0.00032533228,0.00006469477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003331306,0.0014853835,0.0023276962,0.0012740326,0.00073222036,0.0020033885,0.002598265,0.0019446977,0.0024035412],"category_scores_gemma":[0.013186034,0.0015577482,0.0014775123,0.001603686,0.0023621325,0.004025297,0.0017391391,0.0029762434,0.0004661986],"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":[0.00007502743,0.00007037159,0.00046629837,0.00011172893,0.000118545286,0.00005706452,0.00008343257,0.89942735,0.00081764074,0.060133554,0.000730569,0.037908383],"study_design_scores_gemma":[0.0000098419,0.000011536585,0.0001280787,0.000010750213,0.000018262852,0.000013342949,0.000005464531,0.96880096,0.00025023817,0.03051875,0.00022065484,0.000012124552],"about_ca_topic_score_codex":0.0077489894,"about_ca_topic_score_gemma":0.006612132,"teacher_disagreement_score":0.0077489894,"about_ca_system_score_codex":0.0014715372,"about_ca_system_score_gemma":0.0015146105,"threshold_uncertainty_score":0.017617822},"labels":[],"label_agreement":null},{"id":"W2898617185","doi":"10.1016/j.automatica.2018.02.003","title":"Analysis and synthesis for a class of stochastic switching systems against delayed mode switching: A framework of integrating mode weights","year":2018,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; State Key Laboratory of Robotics and System; Natural Science Foundation of Heilongjiang Province","keywords":"Control theory (sociology); Controller (irrigation); Lyapunov function; Mode (computer interface); Stability (learning theory); Computer science; Markov chain; Discrete time and continuous time; Mathematics; Control (management); Nonlinear system; Artificial intelligence","score_opus":0.008344019858706617,"score_gpt":0.24688432141855204,"score_spread":0.23854030155984543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898617185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024754826,0.000168565,0.9707267,0.000093324656,0.000033755114,0.000024050873,0.00003152149,0.000052523064,0.0041147135],"genre_scores_gemma":[0.94029796,0.00036873316,0.054750327,0.000053121657,0.000049962513,0.00009481011,0.000066543245,0.000034319808,0.004284224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997533,0.00005116251,0.000013032145,0.000051348554,0.00010026146,0.000031028198],"domain_scores_gemma":[0.99960595,0.00016133272,0.000082959734,0.000028839288,0.00010359954,0.000017356237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086943206,0.00071809784,0.0005459894,0.00036195407,0.00028805254,0.00089424156,0.0007054412,0.0006153138,0.0017646521],"category_scores_gemma":[0.0016529245,0.0002578001,0.00072325463,0.0003589617,0.0005145062,0.00056416175,0.0005696974,0.0006173924,0.00017923446],"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":[0.00006781792,0.00004106157,0.00038387717,0.00013978578,0.00006967577,0.00009251188,0.00013425566,0.6688199,0.01283271,0.2833127,0.00064373773,0.03346196],"study_design_scores_gemma":[0.000004254413,0.000025270165,0.00008109513,0.0000059783965,0.000010408507,0.0000130194585,0.0000062544104,0.9820433,0.0005525813,0.0168742,0.00037915425,0.0000045609377],"about_ca_topic_score_codex":0.0017224917,"about_ca_topic_score_gemma":0.0015591392,"teacher_disagreement_score":0.0017646521,"about_ca_system_score_codex":0.00055013347,"about_ca_system_score_gemma":0.00066866825,"threshold_uncertainty_score":0.005903363},"labels":[],"label_agreement":null},{"id":"W2903998267","doi":"10.1016/j.automatica.2018.11.027","title":"Stabilization of hidden semi-Markov jump systems: Emission probability approach","year":2018,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Heilongjiang Province; China Scholarship Council","keywords":"Control theory (sociology); Mode (computer interface); Mathematics; Stability (learning theory); Markov chain; Lyapunov function; Jump; Controller (irrigation); Discrete time and continuous time; Hidden Markov model; Markov process; Kernel (algebra); Computer science; Control (management); Nonlinear system; Statistics; Discrete mathematics; Artificial intelligence; Physics","score_opus":0.013337698930644114,"score_gpt":0.2144363365468999,"score_spread":0.20109863761625577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903998267","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021233045,0.00039577778,0.973438,0.0006179047,0.00007485305,0.0000253055,0.00006104471,0.000102482096,0.0040515126],"genre_scores_gemma":[0.9592461,0.00088103424,0.027644606,0.00018321477,0.00019847907,0.00015594604,0.00013768004,0.00009562737,0.011457292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992718,0.00029137995,0.000031011543,0.00017103848,0.00013912359,0.00009564879],"domain_scores_gemma":[0.9965126,0.0026060191,0.00031358132,0.00012935168,0.00031815007,0.00012034709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020209055,0.001369641,0.0015167805,0.0007663446,0.00058720034,0.0013013082,0.0017533796,0.0015801657,0.0037644694],"category_scores_gemma":[0.0049202177,0.0005241255,0.0013423682,0.0004901904,0.0021345946,0.0018618761,0.0025202022,0.0019672737,0.0002996155],"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":[0.00013235553,0.00006189663,0.00057619857,0.00018315107,0.00011582697,0.00011385977,0.00015103862,0.75832003,0.0029941935,0.22400531,0.00074138097,0.012604872],"study_design_scores_gemma":[0.0000071727336,0.000015450993,0.000074645795,0.000007527958,0.000010328254,0.0000064328415,0.000006698334,0.972815,0.00019676116,0.02673866,0.000114609196,0.0000067533356],"about_ca_topic_score_codex":0.0027704728,"about_ca_topic_score_gemma":0.0017229018,"teacher_disagreement_score":0.0037644694,"about_ca_system_score_codex":0.0011096764,"about_ca_system_score_gemma":0.0010885799,"threshold_uncertainty_score":0.012593448},"labels":[],"label_agreement":null},{"id":"W2908091926","doi":"10.1016/j.automatica.2018.12.016","title":"Simultaneous stabilization of discrete-time delay systems and bounds on delay margin","year":2019,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Research Grants Council, University Grants Committee; National Natural Science Foundation of China; University of Victoria; University of Saskatchewan; City University of Hong Kong","keywords":"Control theory (sociology); Elmore delay; LTI system theory; Group delay and phase delay; Mathematics; Context (archaeology); Discrete time and continuous time; Upper and lower bounds; Eigenvalues and eigenvectors; Linear system; Computer science; Control (management); Propagation delay; Bandwidth (computing); Delay calculation","score_opus":0.0038564180193436303,"score_gpt":0.19457046213782092,"score_spread":0.19071404411847728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908091926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07606069,0.0021377192,0.9137326,0.00036464815,0.0002070792,0.000050732277,0.00007861451,0.00023450358,0.0071334075],"genre_scores_gemma":[0.98208666,0.00043807653,0.015268407,0.000044631754,0.00007898906,0.00006317654,0.00003765137,0.000027913862,0.0019545732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920183,0.0001670728,0.000059634905,0.00024692348,0.00020482723,0.00011966544],"domain_scores_gemma":[0.99733424,0.0017083997,0.00033957668,0.00016632072,0.0003425903,0.00010884698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015177397,0.0014363595,0.00084365025,0.0007472432,0.00044751054,0.0017703106,0.0008080324,0.000904162,0.0021514057],"category_scores_gemma":[0.004864208,0.00044779494,0.0005543808,0.0005385915,0.0010138492,0.0018349148,0.002244684,0.0013685478,0.00021573312],"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":[0.0019073596,0.00013807684,0.00077778264,0.0010359858,0.00020908138,0.00018138006,0.0005249415,0.7553444,0.06256446,0.09399676,0.001153684,0.08216605],"study_design_scores_gemma":[0.000038620983,0.00021098906,0.00023891324,0.00003246623,0.00003438837,0.000016868333,0.00002485306,0.9728132,0.008201459,0.017616123,0.00075809116,0.000014072396],"about_ca_topic_score_codex":0.0010281383,"about_ca_topic_score_gemma":0.0010561278,"teacher_disagreement_score":0.0021514057,"about_ca_system_score_codex":0.00083353446,"about_ca_system_score_gemma":0.000678743,"threshold_uncertainty_score":0.0080266595},"labels":[],"label_agreement":null},{"id":"W2917280923","doi":"10.1016/j.automatica.2019.02.010","title":"Zero dynamics for networks of waves","year":2019,"lang":"en","type":"article","venue":"Automatica","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Hamiltonian system; Hamiltonian (control theory); Zero (linguistics); Mathematics; Constructive; Invertible matrix; Classical mechanics; Control theory (sociology); Mathematical analysis; Physics; Computer science; Control (management)","score_opus":0.002924215638957607,"score_gpt":0.17939674643213177,"score_spread":0.17647253079317415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917280923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34134573,0.0019481671,0.6004837,0.0024988735,0.0003717369,0.000060854538,0.00021881628,0.00018945224,0.052882668],"genre_scores_gemma":[0.96241206,0.0013649851,0.013071693,0.00014006803,0.000115144976,0.00007772042,0.00013028162,0.000054711938,0.022633273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998406,0.00004199423,0.0000058584146,0.00003460098,0.00004097084,0.000035864727],"domain_scores_gemma":[0.9993794,0.00028529295,0.000100796686,0.000034479173,0.00010643014,0.000093673436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041418817,0.00044464096,0.0004329213,0.0011835869,0.000613229,0.0015867725,0.0008162269,0.00079490687,0.004472824],"category_scores_gemma":[0.0025479149,0.00027519278,0.00038394824,0.00043347382,0.0015646592,0.002169961,0.0012048435,0.0010145342,0.0003232817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002722374,0.000018596254,0.00029020384,0.000031122734,0.0000130402495,0.000044875287,0.000108817825,0.036064655,0.0017254252,0.9558498,0.0010191179,0.0048070797],"study_design_scores_gemma":[0.000014101983,0.000014488538,0.0002336849,0.000013081941,0.000006266496,0.000037788603,0.00008651769,0.283699,0.0003163509,0.7140697,0.0014973737,0.000011621722],"about_ca_topic_score_codex":0.0023950748,"about_ca_topic_score_gemma":0.0017058484,"teacher_disagreement_score":0.004472824,"about_ca_system_score_codex":0.0007864438,"about_ca_system_score_gemma":0.00048859266,"threshold_uncertainty_score":0.01496309},"labels":[],"label_agreement":null},{"id":"W2921563978","doi":"10.1016/j.automatica.2019.01.035","title":"Identification of symmetric noncausal processes","year":2019,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Honeywell (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Estimation theory; Identification (biology); System identification; Covariance; Applied mathematics; Process (computing); Maximum likelihood; Covariance matrix; Mathematical optimization; Algorithm; Control theory (sociology); Computer science; Statistics; Data modeling; Artificial intelligence","score_opus":0.004483659233669542,"score_gpt":0.2076584847583842,"score_spread":0.20317482552471466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921563978","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08974035,0.00011920266,0.90743446,0.00008227348,0.000030568142,0.000024060168,0.000057283367,0.00011072311,0.0024010749],"genre_scores_gemma":[0.96681887,0.00014617179,0.029917149,0.000017291786,0.000021641772,0.000026031648,0.00007851063,0.0000211923,0.0029531051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995726,0.00010085887,0.000021161944,0.000088158464,0.00016443254,0.000052714367],"domain_scores_gemma":[0.998703,0.0006732503,0.00024433745,0.00015641266,0.00018848732,0.000034519475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007737568,0.0004499672,0.00056712644,0.0005284068,0.00028857784,0.00064374175,0.0005899188,0.00044632325,0.0012848453],"category_scores_gemma":[0.0034678387,0.00025974747,0.0003250306,0.00036086753,0.0005320804,0.00074449636,0.0006820994,0.00058659876,0.000166679],"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":[0.000390105,0.00013427988,0.002392174,0.0002140258,0.000093374416,0.0004008258,0.00023495514,0.60571873,0.026948152,0.24144636,0.0007370534,0.12129],"study_design_scores_gemma":[0.0000075113385,0.000013787063,0.00029232606,0.0000027629194,0.0000045410093,0.00002903646,0.00000783561,0.97711676,0.0018720273,0.020470772,0.00017887761,0.0000036794738],"about_ca_topic_score_codex":0.0011817197,"about_ca_topic_score_gemma":0.0012210307,"teacher_disagreement_score":0.0012848453,"about_ca_system_score_codex":0.00034954422,"about_ca_system_score_gemma":0.0010017477,"threshold_uncertainty_score":0.00429821},"labels":[],"label_agreement":null},{"id":"W2957710976","doi":"10.1016/j.automatica.2019.05.042","title":"Open-loop and feedback Nash equilibria in constrained linear–quadratic dynamic games played over event trees","year":2019,"lang":"en","type":"article","venue":"Automatica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nash equilibrium; Class (philosophy); Quadratic equation; Mathematics; Mathematical optimization; Computer science; Mathematical economics; Event (particle physics); State variable","score_opus":0.015121399839434954,"score_gpt":0.24574692997097777,"score_spread":0.23062553013154283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957710976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42686415,0.00024971217,0.5491058,0.0011840533,0.000052879146,0.00012409766,0.00027323066,0.00017180163,0.021974286],"genre_scores_gemma":[0.9846369,0.00009254508,0.00853853,0.000060226503,0.00001687718,0.000069104564,0.00006974307,0.000030815267,0.0064852885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99851316,0.0007044386,0.000064935084,0.00024726798,0.00021236863,0.00025778118],"domain_scores_gemma":[0.9865602,0.01069269,0.0011071527,0.00022678409,0.00064127945,0.0007718549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022564693,0.0007391358,0.001246727,0.0006782664,0.0008031096,0.002580741,0.001579906,0.0016478812,0.0076178173],"category_scores_gemma":[0.01598233,0.0006414641,0.00071325985,0.0007267718,0.0021491938,0.0036562248,0.0021739625,0.0015917033,0.0003960644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003848188,0.00016731292,0.0011046645,0.00013913866,0.0000605385,0.00024211728,0.0004620356,0.27242088,0.0014647441,0.7142642,0.0011598135,0.0081297215],"study_design_scores_gemma":[0.00005074924,0.0000449405,0.00030567846,0.0000142165145,0.000012184546,0.000028431985,0.00011094902,0.6572986,0.00021422499,0.34165436,0.0002483639,0.000017396125],"about_ca_topic_score_codex":0.0045115035,"about_ca_topic_score_gemma":0.0037430548,"teacher_disagreement_score":0.0076178173,"about_ca_system_score_codex":0.0018538126,"about_ca_system_score_gemma":0.0014444084,"threshold_uncertainty_score":0.025484204},"labels":[],"label_agreement":null},{"id":"W2962862651","doi":"10.1016/j.automatica.2018.08.007","title":"Input-to-state stability with respect to boundary disturbances for a class of semi-linear parabolic equations","year":2018,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Boundary (topology); Stability (learning theory); Class (philosophy); Parabolic partial differential equation; Partial differential equation; State (computer science); Boundary value problem; Control theory (sociology); Applied mathematics; Lyapunov function; Mathematical analysis; Nonlinear system; Computer science; Control (management); Algorithm; Physics","score_opus":0.021194496010969913,"score_gpt":0.2645173955729923,"score_spread":0.2433228995620224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962862651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6255945,0.00086852245,0.35423493,0.0013869415,0.00013677405,0.00008761481,0.00018894648,0.00025271886,0.01724907],"genre_scores_gemma":[0.9939413,0.000169378,0.0020068726,0.000039307175,0.000021886064,0.000043568416,0.000053900672,0.00001975707,0.0037039649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99970406,0.000080901824,0.000014824847,0.00006699403,0.00008322766,0.000050047274],"domain_scores_gemma":[0.9991596,0.00039637316,0.00015626954,0.000045032975,0.00017568484,0.000067093315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007562505,0.0009855115,0.000910341,0.000551484,0.0009344105,0.0018275506,0.00074517634,0.0012577908,0.0013429667],"category_scores_gemma":[0.0026049167,0.00032054816,0.00082216697,0.00039226832,0.0015911805,0.00084376155,0.0018809994,0.0012806455,0.00011702017],"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":[0.0007870115,0.00024013806,0.0038112872,0.00034403094,0.000244976,0.0011105523,0.00091627345,0.756075,0.055341754,0.15833528,0.0018020131,0.020991534],"study_design_scores_gemma":[0.000021789527,0.000040717434,0.00044025062,0.0000063877033,0.000011608187,0.000028822256,0.000035369212,0.9880144,0.00095081254,0.010299444,0.00014152312,0.000008752281],"about_ca_topic_score_codex":0.006010332,"about_ca_topic_score_gemma":0.0020709666,"teacher_disagreement_score":0.006010332,"about_ca_system_score_codex":0.0008602209,"about_ca_system_score_gemma":0.00092135114,"threshold_uncertainty_score":0.011950672},"labels":[],"label_agreement":null},{"id":"W2979126997","doi":"10.1016/j.automatica.2019.108576","title":"Secure analysis of dynamic networks under pinning attacks against synchronization","year":2019,"lang":"en","type":"article","venue":"Automatica","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Synchronization (alternating current); Computer science; Computer security; Computer network","score_opus":0.003518968582905533,"score_gpt":0.25529104123042,"score_spread":0.2517720726475145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979126997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34648645,0.00021003702,0.64826626,0.00073812174,0.000066922585,0.00006415904,0.00015108156,0.00042372217,0.0035932756],"genre_scores_gemma":[0.9947701,0.00006453853,0.0042738724,0.000022636992,0.000031426345,0.000019223275,0.00004684231,0.000022263563,0.00074908894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988224,0.00030749931,0.000043491396,0.00023995624,0.000364032,0.00022273615],"domain_scores_gemma":[0.99160284,0.0054442715,0.0012580774,0.0007012239,0.000698002,0.00029551037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016676045,0.000604625,0.0008408068,0.0010468414,0.00060729776,0.0014341316,0.0009629169,0.0008873148,0.0019152582],"category_scores_gemma":[0.012363943,0.00030401448,0.0005086147,0.0005611005,0.0017906484,0.00210652,0.0019286346,0.001029592,0.00021232948],"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":[0.0006085108,0.0000652641,0.0036440485,0.00010840653,0.000111613735,0.00047517856,0.0002849814,0.7359932,0.01402396,0.21840972,0.0012533683,0.025021758],"study_design_scores_gemma":[0.000006060408,0.000018520934,0.00025678423,0.0000032672722,0.0000057980847,0.000016952334,0.000017050263,0.97497785,0.0009017572,0.02368631,0.00010523028,0.000004386234],"about_ca_topic_score_codex":0.0013885187,"about_ca_topic_score_gemma":0.00081843295,"teacher_disagreement_score":0.0019152582,"about_ca_system_score_codex":0.0010457529,"about_ca_system_score_gemma":0.0009382273,"threshold_uncertainty_score":0.008819222},"labels":[],"label_agreement":null},{"id":"W2994810758","doi":"10.1016/j.automatica.2022.110424","title":"Self-triggered adaptive model predictive control of constrained nonlinear systems: A min–max approach","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Model predictive control; Parametric statistics; Estimator; Nonlinear system; Aperiodic graph; Mathematical optimization; Mathematics; Discrete time and continuous time; Leverage (statistics); Computer science; Control (management)","score_opus":0.006666910496241724,"score_gpt":0.1869708765608331,"score_spread":0.1803039660645914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994810758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01227829,0.00037954893,0.9815901,0.00022843225,0.000089235014,0.00003189036,0.000033444085,0.0001760289,0.0051930165],"genre_scores_gemma":[0.9486718,0.00032294093,0.046130404,0.00017242202,0.00013714809,0.00012540858,0.000053923515,0.00012684318,0.0042590313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954504,0.00019279707,0.000020721493,0.00010967817,0.00008284124,0.000048925016],"domain_scores_gemma":[0.99910885,0.00060075836,0.0000962474,0.00006184497,0.000101278296,0.0000310837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014654177,0.0011835339,0.0013875609,0.000447273,0.0003873572,0.0014100516,0.0012841076,0.0008564901,0.002664253],"category_scores_gemma":[0.0023397596,0.0007153572,0.0007467898,0.0005061535,0.0010487884,0.0014007298,0.0016464901,0.0011967045,0.00023980024],"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":[0.00016109302,0.000058410336,0.00016234658,0.00014674317,0.00010802121,0.00006803041,0.00008009316,0.9305159,0.0028951995,0.034473814,0.0009987634,0.030331487],"study_design_scores_gemma":[0.0000031378981,0.000017211743,0.00002906783,0.0000027203885,0.0000042697143,0.0000030940669,0.0000016556105,0.9958275,0.00019810983,0.003775465,0.00013456438,0.0000031355287],"about_ca_topic_score_codex":0.0015573632,"about_ca_topic_score_gemma":0.0013657478,"teacher_disagreement_score":0.002664253,"about_ca_system_score_codex":0.0006305532,"about_ca_system_score_gemma":0.0006792111,"threshold_uncertainty_score":0.008912742},"labels":[],"label_agreement":null},{"id":"W2997441864","doi":"10.1016/j.automatica.2019.108774","title":"Linear quadratic mean field games with a major player: The multi-scale approach","year":2019,"lang":"en","type":"article","venue":"Automatica","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Zhengzhou University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Applied mathematics; Limit (mathematics); Scaling; Scale (ratio); Field (mathematics); Quadratic equation; Set (abstract data type); Property (philosophy); Minor (academic); Mean field theory; Mathematical optimization; Mathematical analysis; Computer science; Pure mathematics","score_opus":0.01893840291327007,"score_gpt":0.20585807091199632,"score_spread":0.18691966799872625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997441864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04828982,0.001180943,0.9189485,0.002905653,0.00026071566,0.00008361742,0.00020074642,0.00015661636,0.027973436],"genre_scores_gemma":[0.8749164,0.0013454165,0.06362666,0.0009480452,0.00075083965,0.0003375437,0.00017130583,0.00017170786,0.057732128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998072,0.0010000804,0.000053149743,0.00034261818,0.00025740697,0.00027471056],"domain_scores_gemma":[0.9914772,0.005862876,0.0007508579,0.00033663746,0.00058067276,0.0009916647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036608344,0.002110968,0.0038399838,0.001171736,0.0010521986,0.0030748423,0.0035979932,0.0039319806,0.008684935],"category_scores_gemma":[0.009915818,0.0011912851,0.0017440377,0.000936666,0.0038056548,0.0048032245,0.0039284676,0.003936841,0.00077278446],"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":[0.000104967134,0.00010105485,0.0004838565,0.00014364955,0.00011950024,0.000255684,0.00013172383,0.19879402,0.0009076217,0.7882668,0.0042765676,0.006414598],"study_design_scores_gemma":[0.000039366143,0.000044044205,0.00016404393,0.00001408089,0.00002311662,0.000041754334,0.000052436033,0.7357007,0.00005827885,0.26307738,0.0007543096,0.000030558032],"about_ca_topic_score_codex":0.004000337,"about_ca_topic_score_gemma":0.003893526,"teacher_disagreement_score":0.008684935,"about_ca_system_score_codex":0.00200888,"about_ca_system_score_gemma":0.0015999966,"threshold_uncertainty_score":0.029053986},"labels":[],"label_agreement":null},{"id":"W2998188121","doi":"10.1016/j.automatica.2019.108792","title":"Fixed-time attitude tracking control for rigid spacecraft","year":2019,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Shantou University","keywords":"Backstepping; Control theory (sociology); Integrator; Spacecraft; Bounded function; Tracking (education); Attitude control; Control (management); Invertible matrix; Scheme (mathematics); Computer science; Tracking error; Mathematics; Control engineering; Engineering; Adaptive control; Artificial intelligence; Aerospace engineering","score_opus":0.006167485528525405,"score_gpt":0.21118961556322796,"score_spread":0.20502213003470254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998188121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1276035,0.00043617733,0.86047024,0.00019541233,0.00022241297,0.000024274837,0.00004154815,0.00023958179,0.010766837],"genre_scores_gemma":[0.98497504,0.00012774901,0.009730633,0.000030115218,0.000030211699,0.00001824691,0.000036309433,0.000014288168,0.0050374134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993193,0.000010268263,0.0000023369992,0.000016048616,0.000027752088,0.000011639741],"domain_scores_gemma":[0.9999112,0.000019145176,0.000020662646,0.000009579414,0.000031684915,0.000007696232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014701637,0.0002573495,0.00015950213,0.00019750716,0.00028083092,0.00037936686,0.0004135804,0.0003141979,0.0012379239],"category_scores_gemma":[0.0005030272,0.00011858992,0.0001813287,0.00021220683,0.0003740211,0.00025577782,0.00035749035,0.00031736805,0.00019205053],"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":[0.00035320353,0.00008545097,0.0008107192,0.00014418429,0.00005667745,0.0001879718,0.0002516502,0.75791925,0.03874323,0.040088806,0.0025309152,0.15882784],"study_design_scores_gemma":[0.00001496022,0.00010559224,0.00041486337,0.0000041454537,0.000006609486,0.00001840765,0.000014133259,0.991521,0.0018707848,0.005049845,0.0009731116,0.00000647805],"about_ca_topic_score_codex":0.0061420174,"about_ca_topic_score_gemma":0.003529422,"teacher_disagreement_score":0.0061420174,"about_ca_system_score_codex":0.00023386384,"about_ca_system_score_gemma":0.0002687274,"threshold_uncertainty_score":0.012212515},"labels":[],"label_agreement":null},{"id":"W3003430042","doi":"10.1016/j.automatica.2020.108834","title":"A unitary distributed subgradient method for multi-agent optimization with different coupling sources","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subgradient method; Unitary state; Coupling (piping); Multi-agent system; Mathematical optimization; Computer science; Mathematics; Distributed computing; Artificial intelligence; Engineering; Mechanical engineering","score_opus":0.037732034239152265,"score_gpt":0.2709853742062979,"score_spread":0.23325333996714565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003430042","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001963137,0.00008377864,0.9968508,0.000042515865,0.00004381111,0.000017898097,0.000008663988,0.00006952856,0.0009199157],"genre_scores_gemma":[0.20203368,0.00030368543,0.7920017,0.00012780594,0.00010669341,0.00026398365,0.00011370634,0.00021374541,0.0048350277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995995,0.00019052422,0.000019303747,0.00004814635,0.0001122012,0.00003026771],"domain_scores_gemma":[0.9994723,0.00023705348,0.0000269993,0.000053772565,0.00016709253,0.00004274972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010766884,0.0009524894,0.0011121463,0.00042009316,0.0004580978,0.0006714384,0.0013636377,0.0011539183,0.002592275],"category_scores_gemma":[0.001895662,0.00043711686,0.00068447395,0.00066303415,0.0006236706,0.0010127197,0.0013692421,0.0012294515,0.00062240224],"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":[0.0002516776,0.00018578897,0.0002783687,0.0002566197,0.0001236596,0.00011506355,0.00015516383,0.7116545,0.009985441,0.09290721,0.005769438,0.17831708],"study_design_scores_gemma":[0.000010115375,0.000019492058,0.000018069946,0.0000022572217,0.0000042237666,0.0000056586478,0.0000027041363,0.9969447,0.00029833915,0.0022881087,0.00040290822,0.0000034972072],"about_ca_topic_score_codex":0.0031294804,"about_ca_topic_score_gemma":0.003124581,"teacher_disagreement_score":0.0031294804,"about_ca_system_score_codex":0.00050176913,"about_ca_system_score_gemma":0.0010620523,"threshold_uncertainty_score":0.008671999},"labels":[],"label_agreement":null},{"id":"W3006129553","doi":"10.1016/j.automatica.2020.108863","title":"Distributed implementation of nonlinear model predictive control for AUV trajectory tracking","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Robustness (evolution); Control theory (sociology); Computer science; Trajectory; Nonlinear system; Stability (learning theory); Control engineering; Engineering; Control (management); Artificial intelligence","score_opus":0.012800296741791535,"score_gpt":0.2539415797570737,"score_spread":0.24114128301528218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006129553","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023163026,0.0001113351,0.9715898,0.00018357244,0.00013462968,0.000019001829,0.000019287616,0.000524248,0.004254997],"genre_scores_gemma":[0.9373117,0.00006255451,0.058689006,0.00006364585,0.000043365922,0.00006127209,0.000043344626,0.000040552335,0.0036844658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999728,0.00007759751,0.00001018318,0.00005872424,0.00008993711,0.000035569374],"domain_scores_gemma":[0.99965596,0.00011951677,0.000027969581,0.000081032296,0.00009981849,0.000015664484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038545698,0.00039357538,0.00046432606,0.00015165527,0.00038082493,0.0005677985,0.0008034479,0.00058881583,0.003224378],"category_scores_gemma":[0.0013042408,0.00018980191,0.00020753413,0.00018613132,0.00031581032,0.0006422841,0.0007899043,0.0010129672,0.00048071996],"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":[0.0003544778,0.00022424773,0.00069720356,0.000111912945,0.00004539441,0.00011772415,0.000112346235,0.76307964,0.01919345,0.020102734,0.0026551501,0.19330566],"study_design_scores_gemma":[0.000016863782,0.000036551635,0.00006063298,0.0000026669532,0.0000030870856,0.000008396483,0.000006110116,0.99561125,0.001899521,0.001892879,0.00045980272,0.0000023069267],"about_ca_topic_score_codex":0.0021789675,"about_ca_topic_score_gemma":0.00365045,"teacher_disagreement_score":0.003224378,"about_ca_system_score_codex":0.00032089217,"about_ca_system_score_gemma":0.0005716583,"threshold_uncertainty_score":0.010786593},"labels":[],"label_agreement":null},{"id":"W3008451164","doi":"10.1016/j.automatica.2020.108895","title":"Distributed bearing vector estimation in multi-agent networks","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":5,"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 Waterloo","funders":"National Research Foundation of Korea","keywords":"Spanning tree; Graph; Enhanced Data Rates for GSM Evolution; Exponential growth; Bearing (navigation); Minimum spanning tree; Mathematics; Mathematical optimization; Computer science; Algorithm; Artificial intelligence; Theoretical computer science; Combinatorics; Mathematical analysis","score_opus":0.0301609344595697,"score_gpt":0.2571757547332516,"score_spread":0.22701482027368192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008451164","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018344263,0.00035537922,0.9799801,0.00019373409,0.00006678155,0.000017309769,0.000024094124,0.00015228597,0.00086615694],"genre_scores_gemma":[0.93363243,0.00041661202,0.06289161,0.00005392751,0.000115702016,0.00006947906,0.00008167925,0.00002866539,0.0027097715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925715,0.00026535167,0.000047190755,0.00019595871,0.000166753,0.00006762626],"domain_scores_gemma":[0.99760854,0.0013758378,0.00039632255,0.00017090057,0.00037904107,0.000069279944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012620534,0.0005790408,0.0010695053,0.00064194447,0.0004740969,0.0011301931,0.0010733738,0.00087340426,0.0008042951],"category_scores_gemma":[0.0053325086,0.00049924327,0.00029971232,0.00087163725,0.00073652924,0.0017726313,0.0009203035,0.00084174954,0.00022226138],"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":[0.00010044747,0.000025873422,0.00057012454,0.000034670935,0.000030565556,0.00003910837,0.00003570447,0.95603275,0.0010868722,0.006386188,0.00045096624,0.035206694],"study_design_scores_gemma":[0.0000045989927,0.0000074907184,0.00007936944,0.0000015268558,0.0000025669024,0.0000045819284,0.0000035655928,0.997255,0.00018331865,0.002324409,0.00013132743,0.0000021839808],"about_ca_topic_score_codex":0.0058864793,"about_ca_topic_score_gemma":0.0034113717,"teacher_disagreement_score":0.0058864793,"about_ca_system_score_codex":0.00071321224,"about_ca_system_score_gemma":0.00064902543,"threshold_uncertainty_score":0.011704385},"labels":[],"label_agreement":null},{"id":"W3008936904","doi":"10.1016/j.automatica.2020.108883","title":"Dynamic signaling games with quadratic criteria under Nash and Stackelberg equilibria","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Stackelberg competition; Mathematical optimization; Mathematical economics; Nash equilibrium; Computer science; Mathematics; Sequential game; Affine transformation; Applied mathematics; Game theory; Pure mathematics","score_opus":0.07699215175101645,"score_gpt":0.37367931859605985,"score_spread":0.29668716684504337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008936904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2768524,0.00045779848,0.6291493,0.0039057164,0.00014018088,0.00029985962,0.00044464844,0.00025373604,0.0884963],"genre_scores_gemma":[0.9456901,0.0002714207,0.033741,0.00025948466,0.00012885408,0.00022981242,0.00013398666,0.000047302874,0.019498143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943756,0.0026855934,0.00026805975,0.0006891931,0.0012544186,0.0007272523],"domain_scores_gemma":[0.9875507,0.00787544,0.0015036699,0.00047140993,0.0016639491,0.00093489105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00588101,0.0012826144,0.0022187603,0.0016629582,0.0017985223,0.005969203,0.0021971515,0.0030051728,0.0065355026],"category_scores_gemma":[0.020277489,0.00089652964,0.0011571342,0.0016333775,0.0041109305,0.007597031,0.0032366877,0.0023633474,0.0007393485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019209414,0.00006204966,0.00033583288,0.00006758281,0.000033702243,0.00009472637,0.00014380082,0.027321383,0.0007752949,0.9653135,0.00097244186,0.0046877065],"study_design_scores_gemma":[0.00007444764,0.000084664964,0.0002095616,0.000016618313,0.000017982993,0.000058253452,0.000081270766,0.14084056,0.0002921823,0.8575331,0.00076575315,0.000025669742],"about_ca_topic_score_codex":0.0032227996,"about_ca_topic_score_gemma":0.0023866564,"teacher_disagreement_score":0.0065355026,"about_ca_system_score_codex":0.0031843495,"about_ca_system_score_gemma":0.0029609716,"threshold_uncertainty_score":0.03110212},"labels":[],"label_agreement":null},{"id":"W3014811706","doi":"10.1016/j.automatica.2020.108916","title":"Closed-form H-infinity optimal control for a class of infinite-dimensional systems","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":11,"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 Waterloo","funders":"Vetenskapsrådet; Stiftelsen för Strategisk Forskning","keywords":"Infinity; H-infinity methods in control theory; Mathematics; Optimal control; Estimator; Bounded function; Class (philosophy); Controller (irrigation); State (computer science); Control theory (sociology); Applied mathematics; Maximum principle; Mathematical optimization; Control (management); Computer science; Mathematical analysis; Algorithm","score_opus":0.01879107463631377,"score_gpt":0.22323965711407168,"score_spread":0.2044485824777579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014811706","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29835373,0.0006479989,0.6652018,0.0005728895,0.000109807064,0.00006169012,0.00014441909,0.00028289855,0.03462476],"genre_scores_gemma":[0.9911101,0.00015502716,0.0048904996,0.000039764596,0.00003120028,0.00003345275,0.000047439193,0.000009731823,0.0036828679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99981886,0.00003653115,0.0000074647055,0.0000481593,0.000055102395,0.000033900917],"domain_scores_gemma":[0.99972814,0.00011385849,0.0000552493,0.000019652722,0.000058361795,0.000024686076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037292627,0.00066641485,0.00078557833,0.00037459595,0.0006100418,0.0012490085,0.0005434093,0.0007526453,0.002095805],"category_scores_gemma":[0.00084420067,0.0001588404,0.00038427374,0.00022562643,0.0009656528,0.00068275916,0.00081876566,0.0006738472,0.00015745577],"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":[0.00023734,0.00023096085,0.0012854061,0.00023908666,0.000108742664,0.00049865135,0.0003433647,0.66619676,0.017124228,0.26192686,0.002990502,0.048818074],"study_design_scores_gemma":[0.000014116669,0.0000569551,0.00031094308,0.000006152782,0.000006983261,0.000035880184,0.000026369813,0.9750811,0.00054290995,0.023336548,0.0005730456,0.000008903662],"about_ca_topic_score_codex":0.0018485396,"about_ca_topic_score_gemma":0.0014105607,"teacher_disagreement_score":0.002095805,"about_ca_system_score_codex":0.0005023171,"about_ca_system_score_gemma":0.0005488979,"threshold_uncertainty_score":0.0070112348},"labels":[],"label_agreement":null},{"id":"W3017161861","doi":"10.1016/j.automatica.2020.108963","title":"Stabilization of non-homogeneous hidden semi-Markov Jump systems with limited sojourn-time information","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":69,"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 Victoria","funders":"National Defense Basic Scientific Research Program of China","keywords":"Markov chain; Hidden Markov model; Lyapunov function; Markov process; Homogeneous; Computer science; Control theory (sociology); Mode (computer interface); Probability density function; Controller (irrigation); Jump; Mathematics; Markov model; Stability (learning theory); Statistical physics; Control (management); Artificial intelligence; Statistics; Machine learning; Physics; Combinatorics","score_opus":0.004919156893252298,"score_gpt":0.16965257326560104,"score_spread":0.16473341637234876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017161861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47450995,0.00076581485,0.5147579,0.00073830393,0.00020654837,0.000054338103,0.00017084184,0.00024228897,0.008554126],"genre_scores_gemma":[0.99689204,0.00008376893,0.0010627997,0.00001924331,0.000018386716,0.000014712879,0.00002923919,0.0000065996146,0.0018732892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995765,0.000101231904,0.00001960418,0.000114316645,0.00007827148,0.00011000657],"domain_scores_gemma":[0.99853337,0.00079788134,0.0002981459,0.00006013234,0.00022291052,0.00008746801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009775497,0.00083654816,0.001133495,0.00049026584,0.0005135559,0.0010656299,0.0010005407,0.0008463782,0.0016126996],"category_scores_gemma":[0.002242949,0.00035665836,0.0005604337,0.0003330053,0.0014181046,0.00072375935,0.0013918172,0.0007128528,0.00012700948],"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":[0.00076529966,0.00011374485,0.001293409,0.0002109317,0.0001549768,0.00027957506,0.00020888864,0.93153185,0.01577199,0.03936111,0.00063422095,0.009673952],"study_design_scores_gemma":[0.000011699095,0.000038803075,0.00020026039,0.0000029164876,0.000009904569,0.000003982296,0.00000895294,0.99665916,0.00039791455,0.0026195024,0.000042840675,0.0000041074695],"about_ca_topic_score_codex":0.007448408,"about_ca_topic_score_gemma":0.0046651512,"teacher_disagreement_score":0.007448408,"about_ca_system_score_codex":0.0008986361,"about_ca_system_score_gemma":0.0008911599,"threshold_uncertainty_score":0.014810085},"labels":[],"label_agreement":null},{"id":"W3026364537","doi":"10.1016/j.automatica.2020.109033","title":"Robust attitude alignment in multispacecraft systems with stochastic links failure","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Quaternion; Spacecraft; Robustness (evolution); Attitude control; Control theory (sociology); Nonlinear system; Computer science; Convergence (economics); Control (management); Mathematics; Engineering; Control engineering; Aerospace engineering; Physics; Artificial intelligence","score_opus":0.024371214290219552,"score_gpt":0.21536828598294386,"score_spread":0.1909970716927243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026364537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14474307,0.0002902572,0.8514054,0.0004143923,0.00006610244,0.000038028822,0.00009888763,0.00030658583,0.0026373216],"genre_scores_gemma":[0.9949115,0.000049404855,0.0034634154,0.000026802662,0.000017989652,0.000020489979,0.000043250762,0.000019531604,0.0014476847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902236,0.00021682827,0.000049775994,0.0002722498,0.00022309711,0.00021571122],"domain_scores_gemma":[0.99678206,0.0014349477,0.0010227098,0.00019139754,0.00040074915,0.00016803386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013327199,0.00095837534,0.0012942608,0.00056522584,0.00071495405,0.0012462467,0.00077974197,0.0014045627,0.0014462852],"category_scores_gemma":[0.005641866,0.0006574086,0.0004537561,0.0006272329,0.0013106444,0.0011937846,0.0018388378,0.0010359036,0.0003052331],"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":[0.00007088502,0.00001053465,0.0004747108,0.000022904831,0.000026258542,0.000065863234,0.000026638272,0.99171805,0.00081357436,0.0023731554,0.00015020333,0.004247149],"study_design_scores_gemma":[0.000006104503,0.00002986871,0.00031061642,0.0000025847896,0.000004494607,0.000013144608,0.000008778723,0.99795294,0.00022460961,0.0013887275,0.000053806973,0.000004368508],"about_ca_topic_score_codex":0.009408904,"about_ca_topic_score_gemma":0.0039024595,"teacher_disagreement_score":0.009408904,"about_ca_system_score_codex":0.00068353035,"about_ca_system_score_gemma":0.0008656189,"threshold_uncertainty_score":0.018708229},"labels":[],"label_agreement":null},{"id":"W3037710185","doi":"10.1016/j.automatica.2021.109513","title":"A nonlinear navigation observer using IMU and generic position information","year":2021,"lang":"en","type":"preprint","venue":"Automatica","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertial measurement unit; Observability; Global Positioning System; Observer (physics); Position (finance); Computer science; Inertial frame of reference; Control theory (sociology); Acceleration; Nonlinear system; Angular velocity; Accelerometer; Inertial navigation system; Computer vision; Artificial intelligence; Mathematics; Physics; Telecommunications","score_opus":0.014636506329688612,"score_gpt":0.23033382989036127,"score_spread":0.21569732356067267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037710185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009795809,0.00017072499,0.9867163,0.000088519875,0.00017955517,0.000026099833,0.000054874152,0.00038408127,0.0025839983],"genre_scores_gemma":[0.733474,0.0006741022,0.2448185,0.00017697645,0.00028040836,0.00013732426,0.00034896453,0.00009495597,0.019994836],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981517,0.000025150248,0.000011528488,0.00006025537,0.00007140818,0.000016554353],"domain_scores_gemma":[0.9997633,0.000024725066,0.00003962548,0.000040612904,0.00011756128,0.000014277832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003240881,0.0006155487,0.00064428645,0.0002537392,0.00029667636,0.0005857607,0.00044572353,0.000714351,0.0009476922],"category_scores_gemma":[0.00061928213,0.00024815957,0.00037904436,0.0002468793,0.00043467505,0.0008058033,0.00097029307,0.00069749344,0.0007264629],"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":[0.0005220586,0.00008859875,0.0042831176,0.0008093234,0.00026050094,0.00058884243,0.00050554355,0.34449208,0.19104424,0.08015792,0.007666573,0.36958122],"study_design_scores_gemma":[0.000043165885,0.00023101519,0.001879217,0.000032019598,0.00006911288,0.00012615901,0.000034878543,0.9626346,0.015583774,0.0062227,0.013106494,0.00003692371],"about_ca_topic_score_codex":0.0025387602,"about_ca_topic_score_gemma":0.0034429205,"teacher_disagreement_score":0.0025387602,"about_ca_system_score_codex":0.00028248562,"about_ca_system_score_gemma":0.00044557318,"threshold_uncertainty_score":0.0050479174},"labels":[],"label_agreement":null},{"id":"W3047501977","doi":"10.1016/j.automatica.2020.109172","title":"Synthesis of sensor deception attacks at the supervisory layer of Cyber–Physical Systems","year":2020,"lang":"en","type":"preprint","venue":"Automatica","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":12,"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 Toronto","funders":"National Science Foundation","keywords":"Supervisor; Deception; Supervisory control; Context (archaeology); Cyber-physical system; Computer science; Computer security; Class (philosophy); Security controls; Control (management); Event (particle physics); Artificial intelligence; Psychology","score_opus":0.06866852878900963,"score_gpt":0.28990567266021783,"score_spread":0.2212371438712082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047501977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0664293,0.0002809346,0.91646355,0.00036161597,0.00012477065,0.00008424366,0.000066016924,0.0006321951,0.015557368],"genre_scores_gemma":[0.96783555,0.00010164188,0.029826188,0.0000342893,0.000020582638,0.00004708255,0.00004143466,0.00004381304,0.0020495232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996792,0.00006710669,0.000018875964,0.000057079294,0.00012853295,0.000049227303],"domain_scores_gemma":[0.9993162,0.00033395618,0.000105041094,0.00012902482,0.00009067518,0.00002512413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046638795,0.0005205793,0.00048355677,0.00021740321,0.00027176982,0.0008411169,0.00044334162,0.00061558245,0.0035564308],"category_scores_gemma":[0.0017667027,0.00031227473,0.0005920883,0.00010777019,0.0006301912,0.00053341186,0.0006922926,0.0008957693,0.00030357394],"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":[0.00021151964,0.000053042193,0.000335081,0.00026846517,0.00005687906,0.00025449015,0.00018127605,0.8559349,0.028942917,0.08060553,0.0009106908,0.032245252],"study_design_scores_gemma":[0.000016815018,0.00005952228,0.000113862356,0.000016221602,0.00001169909,0.000024435465,0.000012250769,0.9765272,0.0069217747,0.01547589,0.00081474165,0.0000055560204],"about_ca_topic_score_codex":0.00085614616,"about_ca_topic_score_gemma":0.0009942771,"teacher_disagreement_score":0.0035564308,"about_ca_system_score_codex":0.0004669558,"about_ca_system_score_gemma":0.00064284174,"threshold_uncertainty_score":0.011897445},"labels":[],"label_agreement":null},{"id":"W3047893912","doi":"10.1016/j.automatica.2020.109185","title":"Design of data-driven PID controllers with adaptive updating rules","year":2020,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Cabinet Office, Government of Japan","keywords":"PID controller; Control theory (sociology); Stability (learning theory); Linearization; Convergence (economics); Nonlinear system; Adaptive control; Computer science; Set (abstract data type); Lyapunov function; Feedback linearization; Control engineering; Mathematics; Control (management); Engineering; Artificial intelligence; Temperature control","score_opus":0.033628615566826336,"score_gpt":0.2281974491613242,"score_spread":0.19456883359449786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047893912","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062730215,0.00017640974,0.99105376,0.00004008222,0.000055007673,0.0000650492,0.000018189878,0.00030159904,0.0020168116],"genre_scores_gemma":[0.6912057,0.00027694905,0.30456468,0.00011794504,0.000052155778,0.00043327757,0.000106525404,0.00007917307,0.0031635528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996623,0.000049162383,0.000022551925,0.000078167264,0.00015011744,0.000037764126],"domain_scores_gemma":[0.9994765,0.00015708787,0.00006478027,0.000049873757,0.00022954294,0.000022171464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078136165,0.00064515625,0.00062954077,0.000424837,0.00032740788,0.0010983224,0.0013197786,0.00088525604,0.0014332338],"category_scores_gemma":[0.001943028,0.0005213152,0.00039647726,0.00030721366,0.00041244077,0.0004600315,0.0006803494,0.0009059,0.00049198954],"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":[0.00025224595,0.00014970999,0.0007025092,0.00034909975,0.000085157255,0.00015335149,0.00013886706,0.71524113,0.033700787,0.016902486,0.0017608557,0.23056382],"study_design_scores_gemma":[0.000031176085,0.00006430203,0.00012085122,0.000008823365,0.000011617334,0.000025614561,0.000005370958,0.9911342,0.0056544794,0.0016833426,0.0012515369,0.000008673658],"about_ca_topic_score_codex":0.0014728226,"about_ca_topic_score_gemma":0.0015925431,"teacher_disagreement_score":0.0014728226,"about_ca_system_score_codex":0.00042895038,"about_ca_system_score_gemma":0.00093223754,"threshold_uncertainty_score":0.0047945976},"labels":[],"label_agreement":null},{"id":"W3084158465","doi":"10.1016/j.automatica.2022.110478","title":"Smooth converse Lyapunov-barrier theorems for asymptotic stability with safety constraints and reach-avoid-stay specifications","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs","keywords":"Lyapunov function; Converse; Mathematics; Lyapunov redesign; Lyapunov equation; Control-Lyapunov function; Dynamical systems theory; Control theory (sociology); Lyapunov optimization; Stability (learning theory); Lyapunov exponent; Control (management); Computer science; Nonlinear system; Chaotic","score_opus":0.013292268888488093,"score_gpt":0.19709622831182722,"score_spread":0.18380395942333913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084158465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035092965,0.00032131159,0.9397466,0.00080465863,0.00010325605,0.00009813749,0.00020169448,0.00025218353,0.023379214],"genre_scores_gemma":[0.9138324,0.0007715686,0.061779693,0.00056403264,0.00013496552,0.00057765254,0.00036270558,0.00026538817,0.021711517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879825,0.00038656686,0.000058580896,0.00016481489,0.00040948647,0.00018232474],"domain_scores_gemma":[0.9954491,0.002540578,0.00044333763,0.00027363191,0.001056338,0.0002369953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034264356,0.0026750343,0.0013652614,0.0018685209,0.0009754113,0.0020530801,0.00204385,0.0019284033,0.005394365],"category_scores_gemma":[0.01197757,0.00079615694,0.0022554337,0.0008161137,0.0021806518,0.003739328,0.004667005,0.0038279735,0.0007129208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026754185,0.000078577825,0.00037138644,0.00030421288,0.00008576085,0.0002939858,0.00045327542,0.13654345,0.009294353,0.83852386,0.0029594535,0.01082408],"study_design_scores_gemma":[0.0000548583,0.00015259067,0.0002800369,0.00004794633,0.000048542235,0.00009905913,0.00015151977,0.71344113,0.0028840527,0.28108767,0.0017133577,0.000039227263],"about_ca_topic_score_codex":0.0026437154,"about_ca_topic_score_gemma":0.0017503026,"teacher_disagreement_score":0.005394365,"about_ca_system_score_codex":0.0016708497,"about_ca_system_score_gemma":0.0021092794,"threshold_uncertainty_score":0.018120944},"labels":[],"label_agreement":null},{"id":"W3095396796","doi":"10.1016/j.automatica.2021.109788","title":"On the lack of monotonicity of Newton–Hewer updates for Riccati equations","year":2021,"lang":"en","type":"preprint","venue":"Automatica","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monotonic function; Riccati equation; Algebraic Riccati equation; Mathematics; Counterexample; Contrast (vision); Applied mathematics; Set (abstract data type); Algebraic equation; Mathematical analysis; Computer science; Discrete mathematics; Differential equation; Physics","score_opus":0.07040166394093642,"score_gpt":0.329290619989698,"score_spread":0.2588889560487616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095396796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08412213,0.0024633047,0.8747391,0.006945751,0.00041946326,0.00009879362,0.00037356358,0.00048229715,0.030355632],"genre_scores_gemma":[0.8081288,0.0029885853,0.16532694,0.0019533841,0.00084253115,0.00028990363,0.00073460035,0.0009048471,0.018830363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974855,0.0013157555,0.00012899128,0.00035473332,0.0004978492,0.00021702245],"domain_scores_gemma":[0.95857316,0.034818523,0.001385254,0.002310608,0.002294622,0.0006176986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0082463985,0.0011004139,0.0019537115,0.0013874948,0.0011881397,0.0021525894,0.0027026911,0.0024080388,0.0060386634],"category_scores_gemma":[0.05245333,0.0012309971,0.0013155595,0.00087608525,0.0045298333,0.009662648,0.0030905118,0.007662031,0.00077215995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019058102,0.00010784682,0.0014306349,0.00034733076,0.00005836895,0.00021205627,0.00025650492,0.037448477,0.0035211826,0.9208246,0.0064724763,0.029129906],"study_design_scores_gemma":[0.000025890471,0.00004511113,0.00078068726,0.000044524044,0.000018351217,0.000108963366,0.00003785072,0.4078757,0.00160243,0.58757293,0.0018605131,0.000027016275],"about_ca_topic_score_codex":0.0036805754,"about_ca_topic_score_gemma":0.0031008818,"teacher_disagreement_score":0.0082463985,"about_ca_system_score_codex":0.00093895575,"about_ca_system_score_gemma":0.0015806404,"threshold_uncertainty_score":0.043611586},"labels":[],"label_agreement":null},{"id":"W3104498582","doi":"10.1016/j.automatica.2020.109348","title":"Meta-sequence-dependent H∞ filtering for switched linear systems under persistent dwell-time constraint","year":2020,"lang":"lv","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":24,"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 Victoria","funders":"Japan Society for the Promotion of Science; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Sequence (biology); Dwell time; Filter (signal processing); Algorithm; Stability (learning theory); Regular polygon; Computer science; Noise (video); Mathematics; Image (mathematics); Artificial intelligence","score_opus":0.10817310494405522,"score_gpt":0.2614004134019943,"score_spread":0.1532273084579391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104498582","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01751731,0.00022329457,0.9800085,0.000073477175,0.000054157237,0.000015127704,0.000036972127,0.00016883858,0.0019023402],"genre_scores_gemma":[0.93973243,0.00040282565,0.055643365,0.000118842116,0.0000959128,0.00008825383,0.00016558281,0.000045487355,0.003707275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994905,0.00008675743,0.000040330564,0.00014741097,0.00016518806,0.00006992815],"domain_scores_gemma":[0.9993293,0.00028185506,0.00010131813,0.000100346995,0.00016313189,0.000024141918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064528786,0.00067062274,0.00089139934,0.00035985737,0.0003647559,0.0011064222,0.0008107287,0.00091195176,0.0013513035],"category_scores_gemma":[0.0013934497,0.00030188813,0.00084787916,0.0003904406,0.00056358374,0.000928537,0.0009244551,0.0009739,0.0002922843],"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":[0.00078533584,0.00016178208,0.0010364333,0.00071190903,0.0003113605,0.00034791202,0.00044744718,0.59747773,0.07578109,0.12666555,0.0016154288,0.19465803],"study_design_scores_gemma":[0.000017541633,0.00015771852,0.00024658447,0.000021024804,0.000034639983,0.000037244314,0.000018577022,0.97597665,0.006091006,0.016567377,0.00081518834,0.000016393666],"about_ca_topic_score_codex":0.0019310253,"about_ca_topic_score_gemma":0.0018115279,"teacher_disagreement_score":0.0019310253,"about_ca_system_score_codex":0.00058924477,"about_ca_system_score_gemma":0.000801949,"threshold_uncertainty_score":0.0045205355},"labels":[],"label_agreement":null},{"id":"W3138139098","doi":"10.1016/j.automatica.2021.109555","title":"Optimal stealthy integrity attacks on remote state estimation: The maximum utilization of historical data","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Encryption; Data integrity; State (computer science); Computer science; Compressed sensing; Constraint (computer-aided design); Sequence (biology); Computer security; Mathematical optimization; Covariance; Real-time computing; Engineering; Algorithm; Mathematics","score_opus":0.06433341720941231,"score_gpt":0.3022962683659009,"score_spread":0.23796285115648858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138139098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.109297335,0.00060110533,0.8873725,0.0005523691,0.00006925113,0.000030139827,0.00007469481,0.00029543528,0.0017072201],"genre_scores_gemma":[0.9671001,0.00023242083,0.03154782,0.00006226761,0.00008805619,0.000022516055,0.00006397091,0.000040513056,0.0008422736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982286,0.0006382422,0.00010413962,0.0003860129,0.00034677045,0.0002962534],"domain_scores_gemma":[0.9945365,0.003140309,0.000577662,0.0011815677,0.00038205148,0.00018205965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023145117,0.0011170965,0.0015631231,0.00071698223,0.0004882514,0.001186306,0.000999244,0.0010414758,0.0008735607],"category_scores_gemma":[0.012082153,0.00071676803,0.000584395,0.00077599153,0.0014719365,0.0043587387,0.0026032038,0.00148388,0.00018766477],"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":[0.0015057598,0.00015302314,0.001993104,0.00011788872,0.0001981075,0.00016242397,0.00016279181,0.8373607,0.0144079495,0.022857107,0.001198146,0.11988303],"study_design_scores_gemma":[0.000008971917,0.00006803908,0.0002909665,0.00000915122,0.000015153913,0.00003281581,0.000010969635,0.99032366,0.0027293204,0.0063429317,0.00016026825,0.000007756369],"about_ca_topic_score_codex":0.0012079702,"about_ca_topic_score_gemma":0.0011445382,"teacher_disagreement_score":0.0023145117,"about_ca_system_score_codex":0.0005688385,"about_ca_system_score_gemma":0.0010520157,"threshold_uncertainty_score":0.01224041},"labels":[],"label_agreement":null},{"id":"W3160261777","doi":"10.1016/j.automatica.2021.109693","title":"On the convergence of reinforcement learning with Monte Carlo Exploring Starts","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Government of Canada; Pacific Institute for the Mathematical Sciences","keywords":"Reinforcement learning; Mathematical optimization; Convergence (economics); Bellman equation; Monte Carlo method; Computer science; Markov decision process; Complement (music); Function (biology); Mathematics; Markov process; Artificial intelligence; Economics","score_opus":0.035769155301195114,"score_gpt":0.22203931889189224,"score_spread":0.18627016359069712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160261777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026467154,0.0010868764,0.9608256,0.0007551044,0.000097546865,0.0000826936,0.00004849933,0.00025232983,0.010384256],"genre_scores_gemma":[0.796362,0.0015100077,0.18978377,0.00050954544,0.0002567123,0.00054056733,0.00022968413,0.00069516274,0.010112668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959268,0.0026703684,0.00013325039,0.00035226176,0.0005759687,0.00034146078],"domain_scores_gemma":[0.9170799,0.07612112,0.0015813321,0.0014380811,0.0024996696,0.001279769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010816423,0.0018558865,0.0031899712,0.0020768938,0.0012229361,0.0020500624,0.003037529,0.0028018993,0.006262085],"category_scores_gemma":[0.064814,0.0016450298,0.0017673722,0.0013205134,0.005905518,0.004203607,0.005131861,0.0051557035,0.00067827967],"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":[0.00023219937,0.00005901518,0.0006578363,0.0001428269,0.00007764349,0.000049101527,0.0001668851,0.8439585,0.0003456118,0.14032257,0.0010261709,0.012961648],"study_design_scores_gemma":[0.000024047868,0.00003314058,0.000064769134,0.000030795705,0.00001007205,0.00000887341,0.000010086554,0.9442423,0.000098066324,0.055280596,0.0001884953,0.00000872812],"about_ca_topic_score_codex":0.008811167,"about_ca_topic_score_gemma":0.004314342,"teacher_disagreement_score":0.010816423,"about_ca_system_score_codex":0.0025204998,"about_ca_system_score_gemma":0.0027392989,"threshold_uncertainty_score":0.057203412},"labels":[],"label_agreement":null},{"id":"W3160871609","doi":"10.1016/j.automatica.2021.109691","title":"Adaptive control of a class of discrete-time nonlinear systems yielding linear-like behavior","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Bounded function; Mathematics; Adaptive control; Estimator; Linear system; Exponential stability; Nonlinear system; Discrete time and continuous time; Computer science; Control (management); Mathematical analysis","score_opus":0.008739940650590366,"score_gpt":0.2155275997026735,"score_spread":0.20678765905208313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160871609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4473082,0.00068689627,0.52466273,0.0004183197,0.00013042305,0.00007465235,0.00011749336,0.00045816536,0.026143111],"genre_scores_gemma":[0.9911146,0.00012909666,0.005749943,0.000025574805,0.00002899028,0.000028552915,0.00004202626,0.000009191341,0.0028719846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999167,0.000013217004,0.0000036074744,0.000018515797,0.000034544923,0.000013446822],"domain_scores_gemma":[0.99978024,0.000096748074,0.00004247351,0.00002183255,0.000040402778,0.000018320196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013764977,0.00033257162,0.0002732044,0.00020929976,0.00027050675,0.00054360385,0.00032380703,0.00041139862,0.0012754131],"category_scores_gemma":[0.00081529375,0.00009493707,0.0002263176,0.0001387844,0.00039907877,0.00023451853,0.00026229257,0.00037820713,0.00013988689],"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":[0.0003978054,0.00027747703,0.0031729636,0.0003723805,0.00014365045,0.0010490341,0.0005616237,0.50678056,0.17757693,0.20662673,0.003482847,0.09955803],"study_design_scores_gemma":[0.000018500572,0.00008394014,0.0010437133,0.000006881335,0.000009272945,0.000100814956,0.000021113288,0.9848157,0.0024270087,0.010559635,0.0009044112,0.000008909178],"about_ca_topic_score_codex":0.0013077459,"about_ca_topic_score_gemma":0.0010644398,"teacher_disagreement_score":0.0013077459,"about_ca_system_score_codex":0.00021583293,"about_ca_system_score_gemma":0.00020794,"threshold_uncertainty_score":0.0042666793},"labels":[],"label_agreement":null},{"id":"W3175147250","doi":"10.1016/j.automatica.2021.109754","title":"Trajectory planning under environmental uncertainty with finite-sample safety guarantees","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":16,"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":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission; National Aeronautics and Space Administration","keywords":"Trajectory; Constraint (computer-aided design); Gaussian; Mathematical optimization; Sample (material); Finite set; Set (abstract data type); Computer science; Gaussian process; Trajectory optimization; Mathematics; Control theory (sociology); Control (management); Optimal control; Artificial intelligence","score_opus":0.05288281988581145,"score_gpt":0.29461471303344156,"score_spread":0.2417318931476301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175147250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018153714,0.00013728412,0.9799716,0.00024073257,0.000010128465,0.000024023066,0.000067268804,0.00018981993,0.0012054032],"genre_scores_gemma":[0.87468994,0.00034648948,0.12249357,0.00012485494,0.000049483355,0.00021533121,0.00029290013,0.00013235981,0.0016549798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978783,0.0006455378,0.00009739501,0.00043196813,0.0006401023,0.00030663787],"domain_scores_gemma":[0.9815398,0.01431633,0.0018656331,0.0006781584,0.0011091535,0.00049103785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027975568,0.0013745603,0.001319325,0.000862404,0.0007411329,0.001611942,0.0020231428,0.0014947569,0.0014473681],"category_scores_gemma":[0.02010887,0.00079190684,0.0009752686,0.0011316582,0.0024937452,0.0024526396,0.0029536744,0.002334747,0.00023941873],"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":[0.000035286193,0.000012342719,0.00025442019,0.00003073279,0.000013603638,0.000057782858,0.00004463223,0.9818601,0.00041063805,0.013317761,0.00012564767,0.0038371212],"study_design_scores_gemma":[0.0000048655893,0.000025309058,0.0000618647,0.000006575425,0.000002795667,0.000011776462,0.000010479877,0.98333436,0.0004694322,0.015963044,0.000104944156,0.0000046192076],"about_ca_topic_score_codex":0.006429887,"about_ca_topic_score_gemma":0.0044276444,"teacher_disagreement_score":0.006429887,"about_ca_system_score_codex":0.001755494,"about_ca_system_score_gemma":0.0026576298,"threshold_uncertainty_score":0.014795065},"labels":[],"label_agreement":null},{"id":"W3205437656","doi":"10.1016/j.automatica.2021.109953","title":"Distributed control under compromised measurements: Resilient estimation, attack detection, and vehicle platooning","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":39,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; International Federation of Automatic Control; Vetenskapsrådet; Stiftelsen för Strategisk Forskning","keywords":"Observer (physics); Control theory (sociology); Detector; Controller (irrigation); Computer science; Fault tolerance; Real-time computing; Engineering; Control (management); Distributed computing; Artificial intelligence","score_opus":0.015869897892561272,"score_gpt":0.22912230754503726,"score_spread":0.213252409652476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205437656","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01521267,0.00014107805,0.9835903,0.00012612696,0.000026666354,0.000020769796,0.0000078783205,0.000104611,0.0007699571],"genre_scores_gemma":[0.9672474,0.00017531111,0.031542134,0.000041798034,0.00003921364,0.00005262394,0.000016853757,0.000015007808,0.000869779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990024,0.00023995597,0.000049226073,0.0002968214,0.00027379306,0.00013783785],"domain_scores_gemma":[0.9978969,0.0010718834,0.0004082174,0.0002618231,0.0002931779,0.000067871246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001272376,0.00093354145,0.0007142046,0.00038237666,0.00032172812,0.00077820465,0.000929962,0.0007820391,0.0006462175],"category_scores_gemma":[0.0049862424,0.0002851042,0.0005449948,0.0003535712,0.0012897238,0.0013059095,0.0012935047,0.0011332905,0.00011548927],"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":[0.000118328484,0.000044568565,0.0008069648,0.00008416528,0.000049639526,0.00015168298,0.000118688105,0.94194615,0.009177938,0.017361151,0.00025905579,0.029881632],"study_design_scores_gemma":[0.000008786509,0.00006790786,0.00009963349,0.00000402481,0.000009204328,0.00001703561,0.000009540804,0.9940156,0.002170828,0.003377732,0.00021404838,0.0000056933973],"about_ca_topic_score_codex":0.0023440665,"about_ca_topic_score_gemma":0.0011407492,"teacher_disagreement_score":0.0023440665,"about_ca_system_score_codex":0.00066439575,"about_ca_system_score_gemma":0.00070926175,"threshold_uncertainty_score":0.0067290664},"labels":[],"label_agreement":null},{"id":"W3207158177","doi":"10.1016/j.automatica.2021.109933","title":"Event-triggered smoothing for hidden Markov models: Risk-sensitive and MMSE results","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Beijing Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Event (particle physics); Smoothing; Computer science; Markov chain; Hidden Markov model; Markov model; Mathematics; Statistics; Speech recognition; Machine learning; Physics","score_opus":0.01822051902666068,"score_gpt":0.24995650299867914,"score_spread":0.23173598397201844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207158177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010246793,0.0007425088,0.98728895,0.00036146463,0.000067997295,0.000027173806,0.00010189231,0.00028975942,0.0008734253],"genre_scores_gemma":[0.63560253,0.0036069888,0.34342816,0.0005716277,0.0007325859,0.0002470593,0.0014002478,0.00079299137,0.013617795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975406,0.0011031392,0.00014692248,0.00046561222,0.0004692439,0.00027439935],"domain_scores_gemma":[0.9489355,0.04402186,0.0011609258,0.0026561962,0.002607269,0.00061824266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014190732,0.0023746216,0.0028891908,0.0017254864,0.0009843666,0.0023681305,0.0027155255,0.0026168209,0.003989852],"category_scores_gemma":[0.061223723,0.0014857939,0.0024443446,0.0014411042,0.0023435883,0.0055016247,0.0035672295,0.004475823,0.00078547804],"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":[0.00060628244,0.00016434862,0.0016565729,0.00030108768,0.00033544007,0.00022266479,0.0002389371,0.829508,0.0026116488,0.110670716,0.0023534356,0.051330894],"study_design_scores_gemma":[0.0000061984606,0.000016656184,0.00022762603,0.000011768906,0.000022322409,0.00002464502,0.00000745556,0.9746581,0.00048449225,0.02436251,0.000162867,0.00001537828],"about_ca_topic_score_codex":0.0071063675,"about_ca_topic_score_gemma":0.004891299,"teacher_disagreement_score":0.014190732,"about_ca_system_score_codex":0.0017992879,"about_ca_system_score_gemma":0.0027479879,"threshold_uncertainty_score":0.075048685},"labels":[],"label_agreement":null},{"id":"W3217004556","doi":"10.1016/j.automatica.2021.110015","title":"Single-dimensional encryption against innovation-based stealthy attacks on remote state estimation","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Encryption; Computer security; Computer science; Countermeasure; Watermarking attack; Scheme (mathematics); Computer network; 40-bit encryption; 56-bit encryption; Engineering; Mathematics","score_opus":0.014601384884124232,"score_gpt":0.2385386564774574,"score_spread":0.22393727159333315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217004556","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22070752,0.00037267362,0.7701507,0.00054200634,0.00011031539,0.000050260103,0.00007534287,0.0004088166,0.0075823152],"genre_scores_gemma":[0.98968947,0.000069091184,0.008840388,0.000033222503,0.000018445297,0.000013772741,0.000021455562,0.0000076032893,0.0013066882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983082,0.00039651612,0.00009214191,0.00024422546,0.00060866406,0.0003503664],"domain_scores_gemma":[0.9963492,0.0016772624,0.00045593394,0.00092396734,0.0004588202,0.00013472658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015171343,0.0005159712,0.0008525057,0.0004348657,0.00040513734,0.0008235419,0.0005301114,0.001014712,0.0015699406],"category_scores_gemma":[0.005966745,0.00022928623,0.0004594708,0.00037388186,0.0011728276,0.0017709681,0.002698562,0.000992851,0.00039095068],"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":[0.0015485438,0.00016884353,0.0029387125,0.00018240538,0.00021126847,0.00043756524,0.00025311235,0.5915458,0.073452465,0.17482416,0.002211824,0.15222529],"study_design_scores_gemma":[0.00001545403,0.0001197624,0.00053134386,0.000011858332,0.000015647238,0.00014543544,0.000017328024,0.97084844,0.011529565,0.016311996,0.0004373674,0.000015818596],"about_ca_topic_score_codex":0.0003350063,"about_ca_topic_score_gemma":0.00036082198,"teacher_disagreement_score":0.0015699406,"about_ca_system_score_codex":0.00045169843,"about_ca_system_score_gemma":0.00069643406,"threshold_uncertainty_score":0.008023441},"labels":[],"label_agreement":null},{"id":"W4206913881","doi":"10.1016/j.automatica.2022.110157","title":"Stochastic event-based LQG control: An analysis on strict consistency","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":8,"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 Alberta","funders":"","keywords":"Linear-quadratic-Gaussian control; Consistency (knowledge bases); Transmission (telecommunications); Mathematical optimization; Protocol (science); Event (particle physics); Computer science; Mathematics; Stochastic control; Quadratic equation; Gaussian; Control theory (sociology); Optimal control; Control (management); Discrete mathematics","score_opus":0.00835838316107947,"score_gpt":0.2209446867937137,"score_spread":0.21258630363263423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206913881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009013045,0.00028271874,0.9881138,0.0005004637,0.00005587151,0.000031850235,0.000039359886,0.00005334847,0.0019095249],"genre_scores_gemma":[0.8889752,0.0009442612,0.10261317,0.00071659486,0.00032780142,0.00029281017,0.0002244319,0.00026934114,0.005636407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99629253,0.0015789347,0.00022525055,0.0005206094,0.0011123887,0.0002702045],"domain_scores_gemma":[0.9744324,0.020084502,0.0016451388,0.0009783482,0.0024773192,0.000382162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011398983,0.0010568303,0.0020147734,0.0013174671,0.00063498394,0.002112043,0.0024088626,0.0018023195,0.002520736],"category_scores_gemma":[0.034455292,0.001008041,0.002235782,0.0012140804,0.0034961614,0.0035781937,0.00374068,0.0034557644,0.00016063127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024193022,0.000073080184,0.0012367298,0.00027194203,0.00019646497,0.00025192197,0.00022722385,0.3435356,0.0038931484,0.6309431,0.001175587,0.01795323],"study_design_scores_gemma":[0.000021664478,0.00007156724,0.0004304617,0.000020971915,0.000024324878,0.0000470836,0.000013052294,0.91724837,0.00055614236,0.081199385,0.00034399808,0.000022942906],"about_ca_topic_score_codex":0.0025535855,"about_ca_topic_score_gemma":0.0010584757,"teacher_disagreement_score":0.011398983,"about_ca_system_score_codex":0.0012067207,"about_ca_system_score_gemma":0.0019264844,"threshold_uncertainty_score":0.060284317},"labels":[],"label_agreement":null},{"id":"W4225759778","doi":"10.1016/j.automatica.2022.110244","title":"A class of hybrid LQG mean field games with state-invariant switching and stopping strategies","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; HEC Montréal","funders":"","keywords":"Linear-quadratic-Gaussian control; Control theory (sociology); Class (philosophy); Mathematics; Invariant (physics); State (computer science); Applied mathematics; Computer science; Mathematical optimization; Optimal control; Control (management); Algorithm; Artificial intelligence; Mathematical physics","score_opus":0.0136314260485588,"score_gpt":0.20821798277345044,"score_spread":0.19458655672489164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225759778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25941896,0.001214311,0.70546234,0.0011040549,0.00024873676,0.0001900647,0.00051445165,0.00028738435,0.031559728],"genre_scores_gemma":[0.9615223,0.0005718295,0.019921439,0.0002772012,0.00014862946,0.00020362761,0.00025495433,0.000043356227,0.017056573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993291,0.00020783536,0.00003216367,0.0001640664,0.0001363695,0.00013048704],"domain_scores_gemma":[0.99853706,0.00077967485,0.00023035322,0.000072432515,0.0001380858,0.000242438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011934731,0.0012630017,0.0015738657,0.00083409145,0.0005629213,0.0023053852,0.0013509819,0.0018470304,0.0041240016],"category_scores_gemma":[0.0023315162,0.00041003624,0.0012293409,0.0005662059,0.0015219179,0.0012500446,0.0013871276,0.001345872,0.00025822225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017531276,0.00015973601,0.0013736449,0.00016044795,0.00018809407,0.00047256233,0.00017813688,0.17329146,0.004534693,0.80289847,0.0031221109,0.013445369],"study_design_scores_gemma":[0.000075155134,0.00009888335,0.00056448445,0.000015761638,0.000033674532,0.00012286895,0.000050943276,0.79698855,0.0002508901,0.20007321,0.0016998397,0.000025803945],"about_ca_topic_score_codex":0.0027452582,"about_ca_topic_score_gemma":0.0014091663,"teacher_disagreement_score":0.0041240016,"about_ca_system_score_codex":0.0010637647,"about_ca_system_score_gemma":0.0009922718,"threshold_uncertainty_score":0.01379621},"labels":[],"label_agreement":null},{"id":"W4226193816","doi":"10.1016/j.automatica.2022.110264","title":"A unified framework of convex stability conditions for 2-D switched systems with stable or unstable modes","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":10,"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 Victoria","funders":"","keywords":"Sequence (biology); Lyapunov function; Stability (learning theory); Concatenation (mathematics); Control theory (sociology); Mathematics; Regular polygon; Convex combination; Convex optimization; Function (biology); Computer science; Control (management); Arithmetic","score_opus":0.02286269079785804,"score_gpt":0.23796401695860014,"score_spread":0.2151013261607421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226193816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021191353,0.00028259098,0.9910507,0.00012273922,0.000075237054,0.000039426453,0.00009852812,0.000050729544,0.0061609247],"genre_scores_gemma":[0.6718248,0.0024346663,0.30756736,0.00055251963,0.00070401287,0.0006699305,0.0007842559,0.00028840118,0.015174028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909735,0.0003199084,0.000055065626,0.00017904944,0.00025153425,0.00009719572],"domain_scores_gemma":[0.9989637,0.0004132265,0.000100264864,0.00008075424,0.00038688464,0.000055070126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015708812,0.0020578583,0.0011494549,0.001146403,0.0005818171,0.002320665,0.0015841856,0.0010173798,0.0057249027],"category_scores_gemma":[0.0028127492,0.00045308852,0.0013958737,0.00095988857,0.0011877567,0.0026360229,0.0023036825,0.0019096995,0.0009778901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010710686,0.000050894952,0.00022705815,0.000290391,0.00007511041,0.00027337333,0.00027415773,0.33127204,0.010382803,0.6197104,0.00482332,0.03251349],"study_design_scores_gemma":[0.000010148146,0.000080476864,0.00013,0.000029741563,0.000016837816,0.000040460407,0.000045175213,0.8956483,0.0010528594,0.09918348,0.0037388047,0.000023717583],"about_ca_topic_score_codex":0.0033540875,"about_ca_topic_score_gemma":0.0031735846,"teacher_disagreement_score":0.0057249027,"about_ca_system_score_codex":0.0012031472,"about_ca_system_score_gemma":0.0012722537,"threshold_uncertainty_score":0.019151747},"labels":[],"label_agreement":null},{"id":"W4229042095","doi":"10.1016/j.automatica.2022.110349","title":"A note on the equivalence of a strongly convex function and its induced contractive differential equation","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Mathematical analysis; First-order partial differential equation; Convex function; Differential equation; Regular polygon; Smoothness; Vector field; Lipschitz continuity; Equivalence (formal languages); Function (biology); Partial differential equation; Universal differential equation; Pure mathematics; Exact differential equation; Geometry","score_opus":0.01893033945468749,"score_gpt":0.21893691707108792,"score_spread":0.20000657761640042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229042095","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10333067,0.0045629656,0.7099168,0.00815302,0.003969183,0.00008319626,0.00038734876,0.00015624266,0.16944052],"genre_scores_gemma":[0.8255253,0.0050977124,0.11396482,0.0023058543,0.0026911008,0.0001463265,0.00042213048,0.00030930206,0.04953739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992392,0.0001964353,0.000055908666,0.00019252204,0.0002404367,0.000075638876],"domain_scores_gemma":[0.99813193,0.0010201002,0.00013344256,0.00017862003,0.00033772446,0.00019832698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017853915,0.0007501724,0.00084050244,0.0013626561,0.0011318598,0.0018701311,0.0010137917,0.0016376926,0.0041690427],"category_scores_gemma":[0.005172062,0.00033741008,0.0015458431,0.0010284211,0.0034523765,0.00525312,0.0035256275,0.005392886,0.0003736832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013699648,0.000013302782,0.00008912776,0.000024432607,0.0000081555145,0.00010188335,0.000147828,0.00093417655,0.00091975974,0.99246573,0.0007891852,0.0044928417],"study_design_scores_gemma":[0.000010451634,0.00006201805,0.0005393942,0.000017733986,0.0000142391855,0.00016016868,0.00005026151,0.01609748,0.0006537806,0.9709491,0.011423861,0.00002139884],"about_ca_topic_score_codex":0.0021981283,"about_ca_topic_score_gemma":0.001194198,"teacher_disagreement_score":0.0041690427,"about_ca_system_score_codex":0.0011276207,"about_ca_system_score_gemma":0.00066547235,"threshold_uncertainty_score":0.013946831},"labels":[],"label_agreement":null},{"id":"W4252300871","doi":"10.1016/s0005-1098(04)00218-3","title":"Output feedback nonlinear control for a linear motor in suspension mode☆","year":2004,"lang":"en","type":"article","venue":"Automatica","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Feedback linearization; Integrator; Nonlinear system; Controller (irrigation); Nonlinear control; Lyapunov function; Control engineering; Sliding mode control; Engineering; Linearization; Computer science; Control (management); Voltage; Physics","score_opus":0.008098360345168455,"score_gpt":0.22408589679140276,"score_spread":0.2159875364462343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252300871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29617473,0.0008416753,0.66851497,0.0013039168,0.00042266608,0.00007028897,0.000057801364,0.00037729813,0.032236636],"genre_scores_gemma":[0.9824346,0.00013903837,0.0062536667,0.00004220484,0.000034629757,0.000027875327,0.000017278895,0.000009675661,0.011040993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999552,0.000010111339,0.0000023890734,0.000009578154,0.000016023801,0.000006757177],"domain_scores_gemma":[0.99992096,0.000026034464,0.000014519908,0.0000030189406,0.000030194717,0.000005274921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019409892,0.0002884711,0.00015186437,0.00010910001,0.00037897643,0.00040922203,0.00025542203,0.00031261492,0.0021164143],"category_scores_gemma":[0.00037271282,0.00009043203,0.00011161498,0.00009275549,0.0003382557,0.00023908386,0.00031507172,0.00024117781,0.00021852693],"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":[0.0012765111,0.00023596041,0.0014609015,0.00058746367,0.000069801805,0.00048296768,0.0006466071,0.5947609,0.17486674,0.06216209,0.004700725,0.15874933],"study_design_scores_gemma":[0.000032074244,0.00022870775,0.0005517868,0.000007946188,0.000011732555,0.000021124179,0.000032818174,0.9905319,0.0038141084,0.0031724067,0.0015873928,0.000008010252],"about_ca_topic_score_codex":0.004950341,"about_ca_topic_score_gemma":0.005510544,"teacher_disagreement_score":0.004950341,"about_ca_system_score_codex":0.00042719202,"about_ca_system_score_gemma":0.00026391583,"threshold_uncertainty_score":0.009843051},"labels":[],"label_agreement":null},{"id":"W4285725498","doi":"10.1016/j.automatica.2022.110461","title":"Stochastic detection against deception attacks in CPS: Performance evaluation and game-theoretic analysis","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Liaoning Revitalization Talents Program; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Deception; Game theory; Computer security; Computer science; Psychology; Artificial intelligence; Mathematical economics; Mathematics; Social psychology","score_opus":0.006214187479888459,"score_gpt":0.2227324356399929,"score_spread":0.21651824816010443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285725498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29325223,0.0010171592,0.69184846,0.001580525,0.00019207472,0.00045246884,0.0001827653,0.0006064341,0.010867888],"genre_scores_gemma":[0.98693395,0.00013391841,0.012115049,0.00007868567,0.00003395825,0.00005569856,0.00004258429,0.000019276868,0.00058681454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99223083,0.0036352868,0.00024444665,0.0008345565,0.0018096394,0.0012452055],"domain_scores_gemma":[0.94583565,0.04332862,0.003545013,0.002175598,0.0038714386,0.0012435523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011437128,0.0017912869,0.0025244134,0.001551929,0.0009338426,0.0029193317,0.0021291613,0.0020846734,0.0019778626],"category_scores_gemma":[0.039279655,0.0004476507,0.000931766,0.0010119674,0.0024207744,0.0031320117,0.0032076645,0.0018045212,0.0002159632],"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":[0.00045146578,0.00020032296,0.00086080795,0.0001060277,0.00009426856,0.00004489611,0.00004296205,0.96575993,0.0013345252,0.017463187,0.00065476075,0.012986834],"study_design_scores_gemma":[0.000013964532,0.00013914978,0.00015153493,0.0000070356555,0.0000141341,0.000025193489,0.00001516855,0.9946865,0.00045355808,0.0044234516,0.00006252825,0.000007742071],"about_ca_topic_score_codex":0.005262844,"about_ca_topic_score_gemma":0.0024790342,"teacher_disagreement_score":0.011437128,"about_ca_system_score_codex":0.0035841083,"about_ca_system_score_gemma":0.0038597886,"threshold_uncertainty_score":0.06048608},"labels":[],"label_agreement":null},{"id":"W4306828915","doi":"10.1016/j.automatica.2022.110638","title":"Event-triggered robust model predictive control with stochastic event verification","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aperiodic graph; Markov chain; Control theory (sociology); Model predictive control; Bounded function; Discrete time and continuous time; Computer science; Event (particle physics); Ergodicity; Linear matrix inequality; Mathematics; Stability (learning theory); Mathematical optimization; Control (management); Artificial intelligence; Machine learning","score_opus":0.005606243216257154,"score_gpt":0.18964728572969722,"score_spread":0.18404104251344006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306828915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007262889,0.000052699288,0.9905556,0.00004770528,0.000045086494,0.000032571512,0.000060341605,0.0007429605,0.0012001614],"genre_scores_gemma":[0.950677,0.00006873088,0.047603477,0.00006422027,0.000029967425,0.00009459414,0.00016000417,0.00013019542,0.0011718632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978853,0.0005352977,0.00010875393,0.00039929035,0.0008537558,0.00021762292],"domain_scores_gemma":[0.9967629,0.0017661125,0.00045168196,0.0004723994,0.00046933172,0.00007760331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023033482,0.0012751076,0.0013180478,0.0005304739,0.00036877661,0.001401152,0.0017913618,0.0008607977,0.0030589404],"category_scores_gemma":[0.006433806,0.00051801035,0.0011750706,0.00041306246,0.0009008818,0.0013282362,0.0018015871,0.0016895209,0.00047032692],"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":[0.0005541479,0.000088215296,0.0003775095,0.0001620364,0.00008824256,0.0002345336,0.000049722003,0.91542655,0.007115512,0.040986054,0.0008848024,0.034032706],"study_design_scores_gemma":[0.000012139832,0.00001862724,0.000036524205,0.000002898494,0.0000042840643,0.0000096408185,0.0000011307276,0.99402386,0.0013117447,0.004454096,0.000121375444,0.0000035692126],"about_ca_topic_score_codex":0.0018245964,"about_ca_topic_score_gemma":0.0013296277,"teacher_disagreement_score":0.0030589404,"about_ca_system_score_codex":0.00056012534,"about_ca_system_score_gemma":0.0014675544,"threshold_uncertainty_score":0.012181401},"labels":[],"label_agreement":null},{"id":"W4308902993","doi":"10.1016/j.automatica.2022.110685","title":"Model-free optimal control of discrete-time systems with additive and multiplicative noises","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":45,"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 Alberta","funders":"National Natural Science Foundation of China","keywords":"Algebraic Riccati equation; Multiplicative function; Reinforcement learning; Optimal control; Discrete time and continuous time; Mathematics; Stochastic control; Mathematical optimization; Convergence (economics); Iterative learning control; Markov decision process; Controller (irrigation); Control theory (sociology); Riccati equation; Computer science; Control (management); Markov process; Artificial intelligence","score_opus":0.005472723485347404,"score_gpt":0.20316843514690344,"score_spread":0.19769571166155603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308902993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03863682,0.0005982552,0.952022,0.0004742424,0.0001921443,0.000031601463,0.000063429216,0.00017629059,0.0078051533],"genre_scores_gemma":[0.9814462,0.00033810016,0.012291175,0.000083214836,0.000055107976,0.0000751233,0.000061474275,0.00003653314,0.005613243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920577,0.0002596502,0.000030445028,0.00016833228,0.00020421072,0.00013162561],"domain_scores_gemma":[0.99909806,0.00054523797,0.00012332812,0.00004580542,0.0001444723,0.000043195203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009935404,0.0013905487,0.0012872822,0.0005590799,0.0004948308,0.0016566552,0.0010326334,0.0013158526,0.0012255161],"category_scores_gemma":[0.0033624761,0.0006727929,0.00078625686,0.00047916707,0.0013847629,0.0010130946,0.0014911729,0.00118406,0.00019485975],"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":[0.00010772996,0.000046255667,0.00013865477,0.00010137827,0.000048249894,0.000047318736,0.00005549103,0.9625023,0.001847138,0.025915204,0.00041660407,0.008773654],"study_design_scores_gemma":[0.000009707629,0.000026540485,0.00008845133,0.0000048021475,0.000008387379,0.000005681618,0.0000052702458,0.9937742,0.0003227067,0.0055673844,0.00018117458,0.0000057405164],"about_ca_topic_score_codex":0.0071589,"about_ca_topic_score_gemma":0.004760858,"teacher_disagreement_score":0.0071589,"about_ca_system_score_codex":0.00091083895,"about_ca_system_score_gemma":0.0015190026,"threshold_uncertainty_score":0.014234483},"labels":[],"label_agreement":null},{"id":"W4313459893","doi":"10.1016/j.automatica.2022.110811","title":"Justification of the geometric solution of a target defense game with faster defenders and a convex target area using the HJI equation","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Guidance and Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Regular polygon; Differential game; Curse of dimensionality; Range (aeronautics); Computer science; Function (biology); Nonlinear system; Game theory; Bellman equation; Mathematics; Mathematical optimization; Mathematical economics; Applied mathematics; Artificial intelligence; Geometry; Engineering","score_opus":0.03056235255719991,"score_gpt":0.21235166293400035,"score_spread":0.18178931037680043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313459893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05293291,0.00073439506,0.69257396,0.009235239,0.0006751643,0.00012681703,0.00043717175,0.00013345764,0.2431509],"genre_scores_gemma":[0.8215925,0.00096780143,0.12198661,0.001415933,0.0007874881,0.0003335484,0.0003667194,0.00023711838,0.05231229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930406,0.0002963379,0.00003271606,0.000098371536,0.00018193774,0.00008652519],"domain_scores_gemma":[0.9989293,0.00052773743,0.00015155473,0.00006965209,0.00023825222,0.00008340318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013984318,0.0007808748,0.0009406512,0.000874364,0.0009102963,0.001592471,0.0014148504,0.0029077525,0.014726552],"category_scores_gemma":[0.004978548,0.00037165266,0.0010138192,0.00059664826,0.003150945,0.0020628101,0.0019316053,0.002606503,0.0011040006],"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":[0.0000056492295,0.00000488853,0.000038426922,0.000019600011,0.0000046595496,0.000030838466,0.000022957935,0.012966534,0.00015481916,0.984853,0.0009092075,0.0009892082],"study_design_scores_gemma":[0.000027744347,0.000024473957,0.00015475765,0.000023122957,0.0000060408147,0.000036739064,0.000047800702,0.104277626,0.00008886483,0.8925164,0.002782559,0.000013991733],"about_ca_topic_score_codex":0.0021392177,"about_ca_topic_score_gemma":0.0015818216,"teacher_disagreement_score":0.014726552,"about_ca_system_score_codex":0.0013267702,"about_ca_system_score_gemma":0.0018690875,"threshold_uncertainty_score":0.049265206},"labels":[],"label_agreement":null},{"id":"W4320085883","doi":"10.1016/j.automatica.2023.110873","title":"From drinking philosophers to asynchronous path-following robots","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Optimization and Search Problems","field":"Computer Science","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":"Office of Naval Research; National Sleep Foundation; Defense Advanced Research Projects Agency; University of Southern California; National Aeronautics and Space Administration; Simon Fraser University; National Science Foundation","keywords":"Asynchronous communication; Robot; Asynchrony (computer programming); Deadlock; Computer science; Distributed computing; Path (computing); State (computer science); Deadlock prevention algorithms; Motion planning; Resource allocation; Collision avoidance; Resource (disambiguation); Control (management); Mathematical optimization; Collision; Artificial intelligence; Algorithm; Computer security; Computer network; Mathematics","score_opus":0.02461861265299646,"score_gpt":0.28312572606627223,"score_spread":0.25850711341327576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320085883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06443761,0.001240564,0.8774003,0.00533389,0.00032580443,0.000051520303,0.00012795653,0.00034748143,0.050735045],"genre_scores_gemma":[0.764716,0.0012758435,0.19188966,0.0010649635,0.00036773074,0.00015184713,0.00015736057,0.00025588638,0.040120687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993267,0.0003177762,0.000028442366,0.0001691001,0.00009931765,0.00005864991],"domain_scores_gemma":[0.99760145,0.0016368807,0.00015270177,0.0002786748,0.00015797318,0.00017235836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011439213,0.0004929745,0.0005775493,0.000571166,0.001308751,0.002191834,0.0013753742,0.0021768224,0.0107646035],"category_scores_gemma":[0.0067607383,0.00068495097,0.0007667223,0.00079330796,0.0041162656,0.005293977,0.0030164677,0.003071533,0.0008035298],"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":[0.000041483912,0.00002362314,0.0002392944,0.000052644216,0.000010544258,0.00004014781,0.0002530518,0.019681046,0.0004212847,0.9674356,0.0012841157,0.010517178],"study_design_scores_gemma":[0.000019293999,0.000017521475,0.00008598224,0.00001212733,0.000008039339,0.000020096191,0.00009524085,0.06095779,0.00023739347,0.93542624,0.003111638,0.0000087160815],"about_ca_topic_score_codex":0.0022111423,"about_ca_topic_score_gemma":0.0026594049,"teacher_disagreement_score":0.0107646035,"about_ca_system_score_codex":0.0009538306,"about_ca_system_score_gemma":0.0009972132,"threshold_uncertainty_score":0.03601116},"labels":[],"label_agreement":null},{"id":"W4321196310","doi":"10.1016/j.automatica.2023.110875","title":"Virtual constraint generators for motion control of robots with degree of underactuation one","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Holonomic constraints; Constraint (computer-aided design); Underactuation; Robot; Mechanical system; Bounded function; Computer science; Control engineering; Engineering; Mathematics; Control (management); Artificial intelligence; Mechanical engineering; Physics; Mathematical analysis","score_opus":0.024528828434685485,"score_gpt":0.22305127063926478,"score_spread":0.1985224422045793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321196310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023972757,0.00014277363,0.9691609,0.00012628286,0.00007822722,0.00004385271,0.000073123236,0.00021517997,0.0061868313],"genre_scores_gemma":[0.8721492,0.0001789897,0.118888885,0.000121770754,0.000063847845,0.0002283816,0.00017337644,0.00017861066,0.008016907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965,0.0001336385,0.0000169061,0.00005095078,0.00010872559,0.000039856794],"domain_scores_gemma":[0.99929464,0.00034164885,0.00009873265,0.00009533642,0.000104913786,0.000064592314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075290824,0.00054936897,0.0006061603,0.0005020464,0.0003675277,0.0010043579,0.0009487732,0.00049791875,0.003672223],"category_scores_gemma":[0.0021237603,0.00027544977,0.00029221716,0.0004007039,0.0008653615,0.0008396015,0.0012981453,0.0007600869,0.00041492167],"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":[0.00020426797,0.000073398645,0.0002592879,0.00013874844,0.00004149144,0.0001808475,0.00014592291,0.43210822,0.014448556,0.4686681,0.003126054,0.08060518],"study_design_scores_gemma":[0.000030419807,0.00008199081,0.00008536255,0.000009591782,0.0000048035145,0.000033813245,0.000014479804,0.91697955,0.001872703,0.07860516,0.002269483,0.000012639365],"about_ca_topic_score_codex":0.0006286504,"about_ca_topic_score_gemma":0.0011418985,"teacher_disagreement_score":0.003672223,"about_ca_system_score_codex":0.00038543515,"about_ca_system_score_gemma":0.0005363837,"threshold_uncertainty_score":0.012284756},"labels":[],"label_agreement":null},{"id":"W4321769938","doi":"10.1016/j.automatica.2023.110907","title":"Fault-tolerant control for full-state error constrained attitude tracking of uncertain spacecraft","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Victoria","funders":"National Natural Science Foundation of China; Japan Society for the Promotion of Science London","keywords":"Control theory (sociology); Fault tolerance; Spacecraft; Tracking (education); Attitude control; Control (management); State (computer science); Computer science; Tracking error; Control engineering; Engineering; Artificial intelligence; Distributed computing; Aerospace engineering; Algorithm; Psychology","score_opus":0.02879699858184591,"score_gpt":0.2800737804080534,"score_spread":0.2512767818262075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321769938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1899219,0.00049715006,0.80276763,0.00035104193,0.00030366014,0.00004498439,0.00011689291,0.00048448247,0.0055123074],"genre_scores_gemma":[0.9948456,0.00004416444,0.004076552,0.000030282561,0.000017613804,0.000019696785,0.000040909952,0.000009344259,0.0009156458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997335,0.00004222134,0.000018846733,0.00006157886,0.00008777405,0.00005613325],"domain_scores_gemma":[0.9995603,0.00014678843,0.0001135463,0.000042081585,0.000110558416,0.000026636471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004181066,0.0006920739,0.00057430676,0.00028613955,0.00042859884,0.0007484708,0.00074156804,0.00060419494,0.0013196322],"category_scores_gemma":[0.0014785166,0.00024207168,0.00031148116,0.0003035479,0.0005913092,0.0006622763,0.0009811106,0.00058355596,0.00015261996],"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":[0.00049762725,0.0000749004,0.0005260464,0.00020131245,0.00005652749,0.00018161014,0.00020034601,0.91852564,0.012262398,0.006376101,0.0012913877,0.05980608],"study_design_scores_gemma":[0.000015262765,0.000121561905,0.00028127176,0.0000045915845,0.0000049512487,0.00001655003,0.0000095782125,0.9969446,0.0012634858,0.0011250682,0.0002078869,0.000005189988],"about_ca_topic_score_codex":0.0057183164,"about_ca_topic_score_gemma":0.0029466192,"teacher_disagreement_score":0.0057183164,"about_ca_system_score_codex":0.0003504299,"about_ca_system_score_gemma":0.0005007638,"threshold_uncertainty_score":0.011370063},"labels":[],"label_agreement":null},{"id":"W4323041602","doi":"10.1016/j.automatica.2023.110949","title":"Comments on “Pose localization of leader–follower networks with direction measurements” [Automatica 120 (2020) 109125]","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Observer (physics); Control theory (sociology); Mathematics; Stability (learning theory); Computer science; Artificial intelligence; Physics; Control (management); Machine learning","score_opus":0.025092439669759704,"score_gpt":0.24888204692109664,"score_spread":0.22378960725133692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323041602","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041088436,0.0026036366,0.0037390245,0.8272156,0.15401419,0.000056484292,0.0007501599,0.0003675598,0.010842519],"genre_scores_gemma":[0.0058778273,0.0022435375,0.002020636,0.86503184,0.09214911,0.0001867608,0.00031650116,0.00020108676,0.031972717],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9885011,0.002733909,0.0012292166,0.0022750788,0.0042168195,0.0010438749],"domain_scores_gemma":[0.95787984,0.018017398,0.0025212988,0.0016711559,0.018326238,0.001584046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009426965,0.0023773422,0.0023747955,0.0026245173,0.007135674,0.0046234448,0.0069975564,0.051467925,0.019036941],"category_scores_gemma":[0.06585008,0.0015273948,0.002857353,0.003068216,0.005581087,0.0069177495,0.0033899122,0.029727885,0.01651582],"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":[0.00004456983,0.000009111798,0.00010679549,0.000060711463,0.000012822531,0.00011390242,0.00009227794,0.00027722315,0.00014839577,0.0034315607,0.99365956,0.0020430784],"study_design_scores_gemma":[0.00006128632,0.000039547016,0.0015827379,0.00026683946,0.000044459666,0.00013598366,0.0001962242,0.0014657719,0.00044945322,0.010602263,0.9849673,0.00018814487],"about_ca_topic_score_codex":0.099033475,"about_ca_topic_score_gemma":0.059844203,"teacher_disagreement_score":0.099033475,"about_ca_system_score_codex":0.005693353,"about_ca_system_score_gemma":0.006381532,"threshold_uncertainty_score":0.19691408},"labels":[],"label_agreement":null},{"id":"W4323868075","doi":"10.1016/j.automatica.2023.110957","title":"Cyber–physical systems subject to false data injections: A model predictive control framework for resilience operations","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Model predictive control; Computer science; Cyber-physical system; Resilience (materials science); Set (abstract data type); Control (management); Artificial intelligence","score_opus":0.025194645817886323,"score_gpt":0.29480053866234074,"score_spread":0.2696058928444544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323868075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013849834,0.00032532337,0.9800341,0.0004906506,0.000112109265,0.000026374086,0.000048145175,0.00022446296,0.0048890444],"genre_scores_gemma":[0.9739822,0.00033654092,0.022424346,0.000090239395,0.000102360886,0.00006454669,0.000048430127,0.000059802027,0.0028913822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993494,0.00023046655,0.000023712324,0.000115865085,0.00018261212,0.000097950615],"domain_scores_gemma":[0.99868757,0.00064112875,0.00021511514,0.00015116921,0.00024328665,0.00006165069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017951209,0.0014691995,0.0012050075,0.0006788549,0.00062115747,0.002044239,0.0018390679,0.001333899,0.002120195],"category_scores_gemma":[0.004150008,0.00055530126,0.0008108002,0.0006005186,0.0021778583,0.0028328516,0.0019262037,0.0024700076,0.00025723272],"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":[0.00002618105,0.000014732601,0.000109745524,0.000027775019,0.000015469288,0.000049823586,0.000041616822,0.95974874,0.0002743247,0.034943886,0.00033618786,0.0044114846],"study_design_scores_gemma":[0.0000015808807,0.0000048189754,0.000018089875,0.0000020805946,0.0000025610964,0.000002256152,0.0000031304874,0.99377704,0.00004023056,0.006087421,0.000058750094,0.0000021201138],"about_ca_topic_score_codex":0.0101074,"about_ca_topic_score_gemma":0.004650757,"teacher_disagreement_score":0.0101074,"about_ca_system_score_codex":0.0008814709,"about_ca_system_score_gemma":0.0014809234,"threshold_uncertainty_score":0.020097136},"labels":[],"label_agreement":null},{"id":"W4361282449","doi":"10.1016/j.automatica.2023.111009","title":"A novel theorem for prescribed-time control of nonlinear uncertain time-delay systems","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":66,"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":"Ontario Ministry of Research and Innovation; Universität Duisburg-Essen; National Natural Science Foundation of China; Hebei Province Graduate Innovation Funding Project; Carleton University; Liuzhou Science and Technology Project; Alexander von Humboldt-Stiftung","keywords":"Control theory (sociology); Nonlinear system; Controller (irrigation); Stability (learning theory); Mathematics; Lyapunov function; Control (management); Computer science","score_opus":0.014995295823049282,"score_gpt":0.2344681514888845,"score_spread":0.21947285566583521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361282449","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004045196,0.0004343023,0.9840216,0.00035808096,0.00047053237,0.000038245893,0.00009756879,0.00016286522,0.010371668],"genre_scores_gemma":[0.7073909,0.0021062037,0.26262525,0.0011753418,0.0011909588,0.0004120851,0.00028444163,0.00028525063,0.024529561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994106,0.00009254969,0.000032028638,0.00014990098,0.00025889775,0.00005597594],"domain_scores_gemma":[0.9990538,0.00045609634,0.000087638706,0.00009006711,0.00024749886,0.000064924774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285257,0.0008628117,0.0006607021,0.0006002763,0.0006526458,0.0012239255,0.0014297991,0.0010152599,0.0040135514],"category_scores_gemma":[0.0034725463,0.00026777037,0.00092134107,0.00045017654,0.0012022394,0.0017838546,0.001965244,0.0020963466,0.00055541215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013650124,0.00007424899,0.00026992962,0.00043607847,0.000071847055,0.00031698166,0.0003660635,0.07401765,0.022268973,0.82980496,0.0062834695,0.0659533],"study_design_scores_gemma":[0.00008038213,0.0002624541,0.0002847853,0.00005445363,0.000041787414,0.0003236448,0.000044305292,0.7127715,0.00519507,0.25617623,0.024728108,0.00003729097],"about_ca_topic_score_codex":0.0012235973,"about_ca_topic_score_gemma":0.00079461525,"teacher_disagreement_score":0.0040135514,"about_ca_system_score_codex":0.0007467289,"about_ca_system_score_gemma":0.0007861789,"threshold_uncertainty_score":0.013426602},"labels":[],"label_agreement":null},{"id":"W4362467188","doi":"10.1016/j.automatica.2023.111014","title":"Spatiotemporal learning-based stochastic MPC with applications in aero-engine control","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Japan Society for the Promotion of Science London; Victoria University; University of Saskatchewan","keywords":"Computer science; Model predictive control; Kalman filter; Global Positioning System; Control theory (sociology); Stability (learning theory); Hyperparameter; Controller (irrigation); Mathematical optimization; Control (management); Mathematics; Artificial intelligence; Machine learning","score_opus":0.0036884569220074393,"score_gpt":0.19549799227545825,"score_spread":0.1918095353534508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362467188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017834457,0.0008644987,0.97918016,0.00021797209,0.000080228834,0.000012328191,0.00003977013,0.00016525784,0.0016052761],"genre_scores_gemma":[0.9262423,0.0011445371,0.06973899,0.00006999729,0.000123288,0.000046879224,0.000098553486,0.00006365744,0.0024717192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998259,0.000039723618,0.000012194677,0.000039454048,0.00006568119,0.0000171635],"domain_scores_gemma":[0.9993697,0.0003504228,0.00009244649,0.000035844525,0.00012213823,0.000029461571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521872,0.0005608115,0.0007449332,0.00031502548,0.00029953293,0.0005046045,0.000618574,0.00057252665,0.0007742071],"category_scores_gemma":[0.0021201274,0.00029410937,0.00044761697,0.0007257215,0.00053216866,0.00053693337,0.00075725396,0.0008099071,0.00009721084],"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":[0.000019273422,0.000012853288,0.00017141836,0.000031774354,0.000014020938,0.000016973705,0.000012426603,0.976004,0.0008664402,0.0058851633,0.00020530283,0.016760418],"study_design_scores_gemma":[6.9112633e-7,0.0000038349413,0.000025716063,7.233443e-7,0.0000010058859,0.0000015523731,5.087446e-7,0.9991068,0.0001094977,0.00067986816,0.00006885738,9.4949695e-7],"about_ca_topic_score_codex":0.009057049,"about_ca_topic_score_gemma":0.0050944476,"teacher_disagreement_score":0.009057049,"about_ca_system_score_codex":0.00049065694,"about_ca_system_score_gemma":0.0008356996,"threshold_uncertainty_score":0.01800865},"labels":[],"label_agreement":null},{"id":"W4365140163","doi":"10.1016/j.automatica.2023.111004","title":"Set-theoretic output feedback control: A bilinear programming approach","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Control theory (sociology); Bounded function; Bilinear interpolation; Lemma (botany); Linear system; Mathematical optimization; Model predictive control; Computer science; Controller (irrigation); Robust control; Optimal control; Set (abstract data type); Simple (philosophy); Trajectory; Mathematics; Control (management); Control system; Engineering","score_opus":0.010508780750488141,"score_gpt":0.21903402692138987,"score_spread":0.20852524617090173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365140163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027541134,0.00020672177,0.9915046,0.00022925132,0.000073241405,0.000021979986,0.000034980112,0.000025335097,0.0051497305],"genre_scores_gemma":[0.7782627,0.0018238416,0.1906713,0.0004919512,0.00035999948,0.00046778677,0.00021202063,0.00022157846,0.027488925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99924076,0.00035964462,0.000028764243,0.00010641345,0.00019563638,0.000068859306],"domain_scores_gemma":[0.9989249,0.00059897196,0.000099001365,0.000065022105,0.00024402817,0.00006816598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016347638,0.0013788372,0.0014310906,0.0008951302,0.0006186819,0.0022490367,0.001487268,0.0011094597,0.0039560087],"category_scores_gemma":[0.0026530016,0.00063318457,0.0012929018,0.0007705541,0.0017279595,0.0020204075,0.0025633506,0.002540758,0.0005070778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000901146,0.00010865004,0.00014754113,0.0002661906,0.00006450508,0.00007088762,0.00020360014,0.36322594,0.0039252914,0.6076191,0.0017008365,0.02257728],"study_design_scores_gemma":[0.000010660144,0.000063635605,0.000043405398,0.000021773692,0.0000132412815,0.000015841393,0.000024758292,0.8406361,0.00066266645,0.15688816,0.0016056575,0.000014194432],"about_ca_topic_score_codex":0.0020261025,"about_ca_topic_score_gemma":0.0010992949,"teacher_disagreement_score":0.0039560087,"about_ca_system_score_codex":0.0010604732,"about_ca_system_score_gemma":0.0014190259,"threshold_uncertainty_score":0.013234198},"labels":[],"label_agreement":null},{"id":"W4365506121","doi":"10.1016/j.automatica.2023.111015","title":"A multi-rate hierarchical fault-tolerant adaptive model predictive control framework: Theory and design for quadrotors","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Control theory (sociology); Inner loop; Controller (irrigation); Fault tolerance; Adaptive control; Model predictive control; Estimator; Computer science; Control system; Mathematics; Engineering; Artificial intelligence; Control (management)","score_opus":0.019697199281056912,"score_gpt":0.25710552889016,"score_spread":0.23740832960910307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365506121","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008051534,0.00031331644,0.98902345,0.00007722858,0.000041006446,0.000024591514,0.00002398079,0.00010600566,0.0023390187],"genre_scores_gemma":[0.91614264,0.00039338742,0.08067157,0.00008020053,0.000041998534,0.00011062133,0.000054898737,0.000033390304,0.0024712551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979454,0.000041330815,0.000010876304,0.000053445412,0.0000718658,0.00002800955],"domain_scores_gemma":[0.99982446,0.000047606034,0.000035262936,0.000021701777,0.000056083023,0.000014832063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004721689,0.00050657894,0.00063572,0.0002460193,0.00038099993,0.00060442876,0.0011525134,0.0005798059,0.0017251495],"category_scores_gemma":[0.0006682004,0.0002774201,0.00039620526,0.00031118878,0.000423664,0.0006759682,0.0008247587,0.0006459284,0.00032831467],"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":[0.00007462373,0.000037766644,0.0002849761,0.00012668455,0.000028926637,0.00008425564,0.00006585445,0.90528405,0.0107463095,0.023000108,0.0009120535,0.05935443],"study_design_scores_gemma":[0.0000038294306,0.000043655447,0.000057781148,0.000004293481,0.000003840373,0.000011327298,0.000004122328,0.99754566,0.0005052264,0.0014587004,0.00035786338,0.0000037074974],"about_ca_topic_score_codex":0.0025535221,"about_ca_topic_score_gemma":0.0023946033,"teacher_disagreement_score":0.0025535221,"about_ca_system_score_codex":0.00036907644,"about_ca_system_score_gemma":0.00053719623,"threshold_uncertainty_score":0.00577116},"labels":[],"label_agreement":null},{"id":"W4378895617","doi":"10.1016/j.automatica.2023.111068","title":"Characterizing oscillations in heterogeneous populations of coordinators and anticoordinators","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Brock University","funders":"Alberta Environment and Parks","keywords":"Population; Invariant (physics); Action (physics); Stability (learning theory); Mathematical economics; Mathematics; Statistical physics; Computer science; Control theory (sociology); Pure mathematics; Physics; Artificial intelligence; Control (management); Sociology; Machine learning; Demography; Quantum mechanics; Mathematical physics","score_opus":0.034429930324856216,"score_gpt":0.3241573937355668,"score_spread":0.2897274634107106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378895617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8678934,0.000079465884,0.12991835,0.00017677015,0.00002261458,0.000023962237,0.000036177724,0.000073928575,0.0017752768],"genre_scores_gemma":[0.9964792,0.000015996375,0.0030811997,0.0000144329815,0.000008285761,0.00001571084,0.000015697871,0.000010525211,0.0003589436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995096,0.00017535695,0.00002467936,0.00014916653,0.000057936602,0.000083364845],"domain_scores_gemma":[0.99025106,0.0073811547,0.0011292525,0.00036309287,0.0004458331,0.00042955688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018736351,0.00037711355,0.0006734032,0.00081742555,0.00044541922,0.0013098546,0.0012438536,0.00089891785,0.0009985694],"category_scores_gemma":[0.013085649,0.00039518657,0.00038642425,0.00045886828,0.001401983,0.001205434,0.0009925072,0.0007514252,0.00011536698],"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":[0.00069989386,0.00035399717,0.04170997,0.00016773785,0.00031357014,0.00094456214,0.0013928998,0.6877452,0.058821596,0.181741,0.0014881002,0.024621401],"study_design_scores_gemma":[0.000035598405,0.00005808402,0.0031390255,0.0000048831926,0.000023535573,0.00009660984,0.00014793397,0.9615386,0.0009189929,0.033899076,0.000121656776,0.000015960848],"about_ca_topic_score_codex":0.000790917,"about_ca_topic_score_gemma":0.000667028,"teacher_disagreement_score":0.0018736351,"about_ca_system_score_codex":0.0005662998,"about_ca_system_score_gemma":0.00032747534,"threshold_uncertainty_score":0.009908915},"labels":[],"label_agreement":null},{"id":"W4381059941","doi":"10.1016/j.automatica.2023.111124","title":"On the regularization and optimization in quantum detector tomography","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":6,"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":"Office of Naval Research; National Natural Science Foundation of China; Alberta Conservation Association; Office of Naval Research Global; Australian Research Council; Alexander von Humboldt-Stiftung","keywords":"Regularization (linguistics); Quantum; Detector; Quantum state; Mathematics; Algorithm; Semidefinite programming; Quantum tomography; Computer science; Mathematical optimization; Applied mathematics; Artificial intelligence; Quantum mechanics; Physics","score_opus":0.007653301447235548,"score_gpt":0.2078865654507442,"score_spread":0.20023326400350863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381059941","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060387724,0.0022915679,0.98629874,0.002052827,0.00014482767,0.000028408376,0.00005552953,0.00010950948,0.0029798143],"genre_scores_gemma":[0.28106698,0.005103937,0.6926486,0.0011998954,0.00109307,0.00031249455,0.00027591764,0.00063431077,0.01766481],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805766,0.0012818795,0.000076654826,0.00019019662,0.00031217167,0.0000813881],"domain_scores_gemma":[0.99312145,0.00580062,0.00019588466,0.00029272752,0.00042591724,0.00016332099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004924494,0.0011242995,0.0017401874,0.0012510301,0.00090149225,0.0019509122,0.0015902157,0.0023947149,0.0017821608],"category_scores_gemma":[0.012969008,0.0011415809,0.0010579433,0.0013729444,0.005064566,0.0030475133,0.003051149,0.0034618373,0.00034653727],"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":[0.00014192908,0.00007684472,0.00039607374,0.00028520747,0.000091355694,0.000055427256,0.00016749157,0.24877627,0.0032603429,0.6771986,0.005446957,0.06410347],"study_design_scores_gemma":[0.000015176921,0.000019629497,0.00015952787,0.000025362564,0.000009126196,0.0000131163915,0.000013094833,0.7693833,0.0005943833,0.22741309,0.002326895,0.000027256912],"about_ca_topic_score_codex":0.0069710836,"about_ca_topic_score_gemma":0.006452029,"teacher_disagreement_score":0.0069710836,"about_ca_system_score_codex":0.0019647775,"about_ca_system_score_gemma":0.0018054207,"threshold_uncertainty_score":0.026043534},"labels":[],"label_agreement":null},{"id":"W4382045382","doi":"10.1016/j.automatica.2023.111142","title":"Robustness of dynamics in games: A contraction mapping decomposition approach","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; University of Alberta","funders":"Air Force Office of Scientific Research; University of Illinois at Urbana-Champaign; National Science Foundation","keywords":"Cournot competition; Mathematics; Contraction (grammar); Nash equilibrium; Fixed point; Mathematical economics; Dynamics (music); Mathematical optimization; Applied mathematics; Computer science; Mathematical analysis","score_opus":0.08281243963399137,"score_gpt":0.3842369678540809,"score_spread":0.3014245282200895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382045382","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024083424,0.00036591955,0.9654319,0.00053243566,0.00006530419,0.00006986702,0.00008219057,0.000063964806,0.009304903],"genre_scores_gemma":[0.76895875,0.0015917193,0.20879239,0.0003825653,0.00060058536,0.0006610224,0.00033564956,0.00031384177,0.018363485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99779654,0.0011975731,0.00010587768,0.00037860975,0.00032576628,0.0001956469],"domain_scores_gemma":[0.9891773,0.008352831,0.0006689473,0.0005899671,0.0006933037,0.0005177026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052896747,0.0019492937,0.0022661004,0.002675574,0.0007641394,0.0025379756,0.0018259682,0.001695926,0.005823067],"category_scores_gemma":[0.012056732,0.0011094786,0.003510237,0.0012600409,0.003085434,0.0050361305,0.0031720162,0.003376184,0.00042958034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085040985,0.00009612964,0.00048539697,0.00014422774,0.00013660952,0.00013422634,0.00030931487,0.14703256,0.0028582937,0.83284575,0.0012863954,0.014586114],"study_design_scores_gemma":[0.000015976946,0.000060820705,0.00020348706,0.000025095602,0.000032176835,0.000028113756,0.000052288913,0.5514322,0.0003507418,0.44707066,0.00071132317,0.000017174305],"about_ca_topic_score_codex":0.0015821017,"about_ca_topic_score_gemma":0.0006868479,"teacher_disagreement_score":0.005823067,"about_ca_system_score_codex":0.0014861567,"about_ca_system_score_gemma":0.0011983755,"threshold_uncertainty_score":0.027974784},"labels":[],"label_agreement":null},{"id":"W4382133123","doi":"10.1016/j.automatica.2023.111173","title":"Topology identification of sparse network: A stochastic variational Bayesian approach","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"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 Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Alexander von Humboldt-Stiftung","keywords":"Inference; Bayesian network; Computer science; Bayesian inference; Computation; Bayesian probability; Algorithm; Approximate inference; Mathematics; Mathematical optimization; Artificial intelligence","score_opus":0.01633447129011303,"score_gpt":0.26929255931642404,"score_spread":0.25295808802631103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382133123","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056919577,0.000089820365,0.9934675,0.00015503532,0.000009117425,0.000025118547,0.00007351823,0.00013615981,0.00035181508],"genre_scores_gemma":[0.51229036,0.0006582406,0.47782588,0.000313196,0.00019278323,0.0005325947,0.001249908,0.0004690478,0.006467938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990682,0.00042833402,0.00003617694,0.00020433785,0.00018139226,0.00008152685],"domain_scores_gemma":[0.99481237,0.004056756,0.0003135964,0.00021801052,0.00042908947,0.0001702211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002460568,0.000938991,0.0023218356,0.002341297,0.00091972586,0.0016866062,0.0028508082,0.002465641,0.0027248324],"category_scores_gemma":[0.0089580575,0.0018934103,0.002085879,0.0014989246,0.0016022789,0.0023770423,0.0020666686,0.0023747594,0.0005916359],"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":[0.000055073804,0.00004151563,0.0006069937,0.000079869,0.000076509816,0.00004964389,0.00007744123,0.92816657,0.0013887838,0.0385381,0.0011638246,0.02975559],"study_design_scores_gemma":[0.0000028600675,0.000003446825,0.000038792507,0.000002773331,0.000003259578,0.0000057041007,0.0000026383077,0.98986685,0.000059850136,0.009922413,0.00008805677,0.0000033849094],"about_ca_topic_score_codex":0.014073079,"about_ca_topic_score_gemma":0.013053382,"teacher_disagreement_score":0.014073079,"about_ca_system_score_codex":0.0018641967,"about_ca_system_score_gemma":0.002026006,"threshold_uncertainty_score":0.027982295},"labels":[],"label_agreement":null},{"id":"W4382243275","doi":"10.1016/j.automatica.2023.111161","title":"Data-driven fault detection for Lipschitz nonlinear systems: From open to closed-loop systems","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada","keywords":"Lipschitz continuity; Nonlinear system; Nonparametric statistics; Fault detection and isolation; Control theory (sociology); Fault (geology); Computer science; Mathematics; Control (management); Artificial intelligence; Statistics; Mathematical analysis","score_opus":0.03899788462429426,"score_gpt":0.2918829046308404,"score_spread":0.2528850200065461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382243275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032240696,0.0005838932,0.96539825,0.00021802502,0.000069999965,0.00003735846,0.00007598329,0.00026770926,0.0011080895],"genre_scores_gemma":[0.9440088,0.0005135967,0.0531243,0.00010738784,0.000077704186,0.000056690744,0.00014378745,0.0000616249,0.0019061444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943715,0.00011074877,0.000039702227,0.00015573073,0.0001968302,0.000059817794],"domain_scores_gemma":[0.99571425,0.0026565304,0.00033334643,0.00036236798,0.0008410625,0.00009237665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103469,0.00084082485,0.00093340274,0.0007935321,0.00029156095,0.0012685915,0.0010241341,0.0009439016,0.0015048276],"category_scores_gemma":[0.0079238275,0.00039859154,0.0005198524,0.0005261212,0.0011009686,0.0018983218,0.0015551213,0.0013991465,0.00023936486],"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":[0.0007728422,0.0001902971,0.0033096096,0.0007883422,0.000111823596,0.000562986,0.000579051,0.6584489,0.011860434,0.06151195,0.0016704411,0.26019335],"study_design_scores_gemma":[0.0000090913845,0.00008298212,0.00034410457,0.0000208333,0.000010626685,0.00003614515,0.00002309051,0.977418,0.002431036,0.0192434,0.0003693608,0.000011313353],"about_ca_topic_score_codex":0.0023493806,"about_ca_topic_score_gemma":0.0013195028,"teacher_disagreement_score":0.0023493806,"about_ca_system_score_codex":0.00064277987,"about_ca_system_score_gemma":0.0007551008,"threshold_uncertainty_score":0.005472064},"labels":[],"label_agreement":null},{"id":"W4383506070","doi":"10.1016/j.automatica.2023.111162","title":"Model-free policy iteration approach to NCE-based strategy design for linear quadratic Gaussian games","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Applied mathematics; Mathematical optimization; Ode; Algebraic equation; Nonlinear system","score_opus":0.05972795425387742,"score_gpt":0.3052582785002979,"score_spread":0.2455303242464205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383506070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025676314,0.00008660287,0.99460816,0.00014580872,0.000027692007,0.00004144095,0.00001547189,0.00006943344,0.0024378474],"genre_scores_gemma":[0.81671286,0.00029519704,0.17355923,0.0003635639,0.000099044715,0.00062348734,0.0001174049,0.00014779493,0.008081486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824154,0.0008466363,0.00006556036,0.0002436188,0.00040593356,0.00019666973],"domain_scores_gemma":[0.9938997,0.0045649647,0.00030070866,0.00017820188,0.00086571684,0.00019070126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003722644,0.0016755596,0.0024370607,0.0009685524,0.0006686756,0.001567735,0.0019391296,0.0022105093,0.003787159],"category_scores_gemma":[0.010825396,0.0012284116,0.0010115366,0.00059115223,0.0021809808,0.0012710976,0.0025596786,0.0027089342,0.0005579216],"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":[0.00006302449,0.000047926438,0.00014478219,0.00006566078,0.000037032423,0.00003387379,0.000057273464,0.966614,0.00043925532,0.022363588,0.00048656316,0.009646993],"study_design_scores_gemma":[0.0000073201745,0.000017638398,0.000014431217,0.00000455333,0.0000033613237,0.0000040774707,0.000002744966,0.99553585,0.00010835849,0.0041702995,0.0001277858,0.000003481733],"about_ca_topic_score_codex":0.008634915,"about_ca_topic_score_gemma":0.0067830444,"teacher_disagreement_score":0.008634915,"about_ca_system_score_codex":0.0018539125,"about_ca_system_score_gemma":0.0031503951,"threshold_uncertainty_score":0.019687414},"labels":[],"label_agreement":null},{"id":"W4384997514","doi":"10.1016/j.automatica.2023.111196","title":"Data-driven designs of observers and controllers via solving model matching problems","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; University of Alberta","keywords":"Control theory (sociology); Computer science; Observer (physics); Data-driven; Realization (probability); Matching (statistics); Controller (irrigation); Control engineering; Kernel (algebra); Optimization problem; Control (management); Artificial intelligence; Engineering; Algorithm; Mathematics","score_opus":0.06027279366069063,"score_gpt":0.24940882827131156,"score_spread":0.18913603461062092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384997514","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018142541,0.000027557688,0.99758685,0.00002640308,0.000011161051,0.000022125556,0.000007684731,0.000059752165,0.00044415964],"genre_scores_gemma":[0.6003217,0.00023443332,0.39540142,0.00014894932,0.000042972006,0.0004931411,0.00016867292,0.000121606456,0.0030672632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991542,0.00026430408,0.00005632765,0.00018667188,0.000255993,0.0000824779],"domain_scores_gemma":[0.9980369,0.0009837089,0.00026517024,0.00019958954,0.00045881458,0.00005586436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025421036,0.0010737783,0.0012371229,0.0007021875,0.00039617126,0.0012504195,0.0014239583,0.0018588974,0.002537996],"category_scores_gemma":[0.007958764,0.0008825828,0.0010713266,0.0005323726,0.0008841404,0.0015015698,0.0019849732,0.0016186876,0.0006400778],"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":[0.0001923824,0.000118877004,0.0003727293,0.0003072235,0.000073850926,0.00008371048,0.00020367395,0.8201376,0.010881377,0.078287855,0.00090693845,0.08843381],"study_design_scores_gemma":[0.000020925943,0.000046781348,0.00003999769,0.000013354442,0.000007703153,0.000011434061,0.000011728307,0.98277515,0.0021880178,0.014366694,0.00051090075,0.000007289116],"about_ca_topic_score_codex":0.0012643129,"about_ca_topic_score_gemma":0.0011050454,"teacher_disagreement_score":0.0025421036,"about_ca_system_score_codex":0.00059129595,"about_ca_system_score_gemma":0.0013379998,"threshold_uncertainty_score":0.013444126},"labels":[],"label_agreement":null},{"id":"W4385128256","doi":"10.1016/j.automatica.2023.111180","title":"Signaling games in multiple dimensions: Geometric properties of equilibrium solutions","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Nash equilibrium; Independent and identically distributed random variables; Mathematical optimization; Gaussian; Scalar (mathematics); Signaling game; Mathematics; Generalization; Mathematical economics; Game theory; Distortion (music); Computer science; Applied mathematics; Random variable; Mathematical analysis; Statistics","score_opus":0.22453505193948228,"score_gpt":0.35496557311833554,"score_spread":0.13043052117885326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385128256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23998974,0.0010914375,0.68842053,0.0032115313,0.00012535686,0.00025979028,0.00041823974,0.00023136656,0.06625204],"genre_scores_gemma":[0.92170626,0.0015053313,0.06251343,0.00043579977,0.00017825988,0.00042404342,0.000264495,0.00012929781,0.012843057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861765,0.00053577306,0.00006218684,0.00026312296,0.00025752262,0.00026382378],"domain_scores_gemma":[0.9940455,0.00359833,0.0010280904,0.0002946127,0.0005442991,0.00048913364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019917844,0.0015734364,0.0019329793,0.0021134405,0.001793598,0.0048027504,0.0020333168,0.0032789565,0.008932364],"category_scores_gemma":[0.012684737,0.0011144663,0.0016736392,0.0020167313,0.0037027767,0.006954052,0.003169317,0.00351549,0.00096599286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028708368,0.000034885026,0.00019496797,0.000043718253,0.00001837318,0.000046430916,0.00010611937,0.0176247,0.00088275323,0.97629094,0.0011492798,0.003579103],"study_design_scores_gemma":[0.000030647876,0.000025290565,0.00018373282,0.000021693791,0.000010307789,0.000066284185,0.00011228546,0.088675134,0.00023655631,0.9098585,0.0007597498,0.00001991152],"about_ca_topic_score_codex":0.0015391449,"about_ca_topic_score_gemma":0.0013213004,"teacher_disagreement_score":0.008932364,"about_ca_system_score_codex":0.002353309,"about_ca_system_score_gemma":0.0020051263,"threshold_uncertainty_score":0.029881716},"labels":[],"label_agreement":null},{"id":"W4385823704","doi":"10.1016/j.automatica.2023.111229","title":"Event-triggered adaptive prescribed-time control for nonlinear systems with uncertain time-varying parameters","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":81,"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":"Universität Duisburg-Essen; Ontario Ministry of Research and Innovation; National Natural Science Foundation of China; Carleton University; Alexander von Humboldt-Stiftung","keywords":"Control theory (sociology); Interval (graph theory); Nonlinear system; Control (management); Event (particle physics); Computer science; Stability (learning theory); Adaptive control; Mathematics; Artificial intelligence","score_opus":0.017431366336333604,"score_gpt":0.23240381992356032,"score_spread":0.21497245358722672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385823704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067550674,0.00020317608,0.92776287,0.00011352018,0.00015259067,0.000041582112,0.000030681083,0.000366339,0.0037786153],"genre_scores_gemma":[0.9928958,0.000050077804,0.0061103767,0.0000276125,0.000013692651,0.000019248893,0.000014581437,0.000010443417,0.000858203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971265,0.00006235253,0.000015153543,0.000065051405,0.00010045818,0.00004436265],"domain_scores_gemma":[0.99947506,0.0002590651,0.00009521007,0.000041410352,0.00009948722,0.000029744637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004689758,0.0004548422,0.00038958824,0.00016285811,0.00027240693,0.0005939847,0.00065421197,0.0005010114,0.0014328641],"category_scores_gemma":[0.0015466278,0.00014046686,0.00028425007,0.00017007824,0.000538445,0.00042969786,0.0006722906,0.0005950352,0.0001084693],"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":[0.0007404366,0.00010781491,0.00064696657,0.00017670442,0.00006402691,0.0003753746,0.00021053162,0.88797516,0.023436254,0.02660475,0.0009842353,0.058677714],"study_design_scores_gemma":[0.00001256747,0.000044733777,0.00013394184,0.0000027822186,0.0000041901735,0.0000128468755,0.0000036618794,0.99678016,0.0010709105,0.0016993403,0.00023141816,0.000003411916],"about_ca_topic_score_codex":0.0020306236,"about_ca_topic_score_gemma":0.0016798347,"teacher_disagreement_score":0.0020306236,"about_ca_system_score_codex":0.0003104986,"about_ca_system_score_gemma":0.00039036415,"threshold_uncertainty_score":0.0047934055},"labels":[],"label_agreement":null},{"id":"W4385871710","doi":"10.1016/j.automatica.2023.111231","title":"Confidence set-membership FIR filter for discrete time-variant systems","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; Higher Education Discipline Innovation Project; National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China; Alexander von Humboldt-Stiftung","keywords":"Finite impulse response; Control theory (sociology); Robustness (evolution); Mathematics; Filter (signal processing); Digital filter; Filter design; Algorithm; Bounded function; Confidence region; Gaussian; Impulse (physics); Confidence interval; Computer science; Statistics; Artificial intelligence","score_opus":0.019575547309370275,"score_gpt":0.2386000773481391,"score_spread":0.21902453003876882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385871710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0120287435,0.00012510519,0.9863067,0.00011571675,0.00004767943,0.000010103545,0.000032289063,0.00014417988,0.0011894343],"genre_scores_gemma":[0.82682276,0.00038176437,0.16521135,0.00015866419,0.00014708449,0.000093968854,0.0002433316,0.00007419383,0.006866891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990741,0.00016995824,0.00004615987,0.00020890235,0.00041338275,0.00008746949],"domain_scores_gemma":[0.996618,0.0021942253,0.00024192892,0.00029912952,0.0005693958,0.00007738054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014606613,0.00037630717,0.0005693704,0.00037315316,0.0003571039,0.0012132146,0.0007460724,0.0012073243,0.0027369289],"category_scores_gemma":[0.009620876,0.00027807232,0.0004068406,0.00042468536,0.0006428013,0.0010402234,0.0006528968,0.0015005935,0.0006018594],"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":[0.0008208812,0.00024031912,0.0014096806,0.00047580327,0.00013386314,0.00020266775,0.00043654002,0.4803052,0.04323444,0.11602102,0.0044896216,0.35223],"study_design_scores_gemma":[0.000009347655,0.00004525124,0.00037085812,0.000012501055,0.000007546809,0.00003593308,0.00000986526,0.98968166,0.0032126978,0.0060181497,0.0005837214,0.000012542804],"about_ca_topic_score_codex":0.0022668247,"about_ca_topic_score_gemma":0.0014771656,"teacher_disagreement_score":0.0027369289,"about_ca_system_score_codex":0.00060870737,"about_ca_system_score_gemma":0.00072023855,"threshold_uncertainty_score":0.009155929},"labels":[],"label_agreement":null},{"id":"W4386435322","doi":"10.1016/j.automatica.2023.111264","title":"Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":40,"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 Ottawa","funders":"Air Force Research Laboratory; National Science Foundation","keywords":"Computer science; Adversarial system; Robustness (evolution); Theoretical computer science; Distributed computing; Resilience (materials science); Graph; Complex network; Graph theory; Data science; Artificial intelligence; Mathematics","score_opus":0.01941589060554748,"score_gpt":0.22147048625309046,"score_spread":0.20205459564754297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386435322","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052544484,0.0950249,0.8805994,0.0026302075,0.00046948786,0.00007958518,0.00022713107,0.00026338722,0.01545144],"genre_scores_gemma":[0.3264093,0.31255797,0.34072736,0.002255696,0.00676741,0.00034954603,0.0009963643,0.00046478232,0.009471696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989002,0.00037423865,0.000066727465,0.00023070636,0.00033269305,0.000095452335],"domain_scores_gemma":[0.99639314,0.00278853,0.00018385009,0.0002536011,0.0002794597,0.00010136748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022141584,0.0025117765,0.0021020293,0.005549754,0.0008196072,0.0025224532,0.0028232841,0.0021967867,0.0032469325],"category_scores_gemma":[0.0050719795,0.0011796947,0.0020576017,0.0069534956,0.003484858,0.0052748322,0.0017282638,0.0034696732,0.0008421567],"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":[0.000037322687,0.0001410264,0.0011496235,0.0015351516,0.00024120697,0.00018367823,0.00023505464,0.17577809,0.001080404,0.67497516,0.008573005,0.13607024],"study_design_scores_gemma":[0.00000969766,0.00005646212,0.00050066505,0.00027499223,0.00006866549,0.0001776933,0.00009732074,0.17023249,0.00042594748,0.8057917,0.022328015,0.00003626062],"about_ca_topic_score_codex":0.0033298193,"about_ca_topic_score_gemma":0.0024269624,"teacher_disagreement_score":0.005549754,"about_ca_system_score_codex":0.0019462521,"about_ca_system_score_gemma":0.0010229099,"threshold_uncertainty_score":0.014121115},"labels":[],"label_agreement":null},{"id":"W4387128349","doi":"10.1016/j.automatica.2023.111301","title":"Event-triggered risk-sensitive smoothing for linear Gaussian systems","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Smoothing; Gaussian; Measure (data warehouse); Event (particle physics); Linear system; Mathematics; Property (philosophy); Algorithm; Computer science; State (computer science); Gaussian random field; Gaussian process; Mathematical optimization; Applied mathematics; Data mining; Statistics; Mathematical analysis","score_opus":0.010329858902964133,"score_gpt":0.24361403014394262,"score_spread":0.23328417124097847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387128349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017140254,0.00025120526,0.9815244,0.00014766918,0.000042413776,0.000016719496,0.000041840478,0.00026745762,0.0005679424],"genre_scores_gemma":[0.95120174,0.00036711156,0.044157714,0.00009606735,0.00008026911,0.00004649281,0.00016698678,0.000101266276,0.0037823196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867,0.0004487177,0.00007385926,0.0003008156,0.0002960855,0.000210605],"domain_scores_gemma":[0.99423766,0.0041308682,0.00045266672,0.00039976777,0.0005930203,0.00018613655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037377242,0.0011041763,0.0015275162,0.00057849055,0.00039201954,0.0012907049,0.0011740029,0.0010451319,0.0018172987],"category_scores_gemma":[0.013053112,0.00065776147,0.0008104753,0.000628524,0.0010915415,0.0011783128,0.0016644266,0.0020299426,0.0002609643],"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":[0.00039555057,0.00006672097,0.0008616555,0.00014890677,0.00010358672,0.0001507504,0.00013622349,0.9104521,0.0037212975,0.044128668,0.0011813204,0.038653158],"study_design_scores_gemma":[0.0000044291546,0.000015284846,0.00014972432,0.0000035600767,0.000006312129,0.000010992403,0.0000031304933,0.9921955,0.00033791966,0.007158916,0.00010847633,0.000005830832],"about_ca_topic_score_codex":0.0056528472,"about_ca_topic_score_gemma":0.0029949467,"teacher_disagreement_score":0.0056528472,"about_ca_system_score_codex":0.0009511576,"about_ca_system_score_gemma":0.0012410891,"threshold_uncertainty_score":0.019767165},"labels":[],"label_agreement":null},{"id":"W4387166018","doi":"10.1016/j.automatica.2023.111306","title":"Approximate moving horizon estimation for switching conservative linear infinite-dimensional systems","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Jenny ja Antti Wihurin Rahasto; Natural Sciences and Engineering Research Council of Canada; American Automatic Control Council; American Heart Association","keywords":"Observability; Mathematics; Discretization; Control theory (sociology); Estimator; Applied mathematics; Linear system; Partial differential equation; Boundary (topology); Bounded function; Horizon; Mathematical optimization; Mathematical analysis; Computer science","score_opus":0.029871872324840794,"score_gpt":0.2907421074828031,"score_spread":0.2608702351579623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387166018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020077141,0.00033843235,0.9775245,0.00017072553,0.00004303029,0.000019729358,0.000053026786,0.00016089992,0.0016125723],"genre_scores_gemma":[0.9590307,0.00034580508,0.035426516,0.00009738367,0.000060011047,0.00011849313,0.0001907189,0.00005932366,0.004671005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99962807,0.000113612274,0.000022294846,0.000085930886,0.000092416965,0.00005762446],"domain_scores_gemma":[0.9977763,0.0016271279,0.00022413723,0.00008615406,0.00023257583,0.000053777036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012996255,0.0009529137,0.0017962807,0.00058859785,0.0005464999,0.0012112049,0.0009805906,0.0012103025,0.0022693144],"category_scores_gemma":[0.0047095683,0.0006982144,0.0005635319,0.00057013443,0.0011637028,0.0010720841,0.0011427413,0.0015731863,0.00024091077],"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":[0.00006384796,0.000017100041,0.00019199718,0.00005695069,0.000028539818,0.000020884758,0.000033339325,0.98178333,0.00049017655,0.005506976,0.00025347128,0.0115532605],"study_design_scores_gemma":[0.000001697035,0.0000045819374,0.00003455785,0.0000024358703,0.0000017320084,0.0000014153184,0.0000018133937,0.9982628,0.000064089756,0.0015774788,0.00004551901,0.0000018059848],"about_ca_topic_score_codex":0.015076026,"about_ca_topic_score_gemma":0.011345689,"teacher_disagreement_score":0.015076026,"about_ca_system_score_codex":0.0011526373,"about_ca_system_score_gemma":0.0011231893,"threshold_uncertainty_score":0.029976606},"labels":[],"label_agreement":null},{"id":"W4387215437","doi":"10.1016/j.automatica.2023.111304","title":"Enhancing prescribed performance of tracking control using monotone tube boundaries","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Key Research and Development Program of China; China Academy of Space Technology; National Natural Science Foundation of China","keywords":"Monotone polygon; Control theory (sociology); Overshoot (microwave communication); Boundary (topology); Convergence (economics); Nonlinear system; Mathematics; Constructive; Tracking (education); Mathematical optimization; Tracking error; Computer science; Control (management); Mathematical analysis; Artificial intelligence; Process (computing); Geometry","score_opus":0.01205061407014197,"score_gpt":0.2313539595511513,"score_spread":0.21930334548100933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387215437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077680424,0.00021366954,0.91409105,0.00018231978,0.00008201347,0.00004698194,0.000014846521,0.0002878352,0.0074008396],"genre_scores_gemma":[0.92293704,0.00016570505,0.07310079,0.000070480884,0.000029265057,0.00007882441,0.00002274976,0.00007665145,0.0035184477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927694,0.00030543798,0.000027909746,0.000085715925,0.00022854331,0.00007543764],"domain_scores_gemma":[0.99729866,0.001793456,0.00023617076,0.00016446435,0.00038011445,0.00012717258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012665717,0.00091377134,0.0006597755,0.0005149041,0.00040172224,0.00090553146,0.0007026641,0.0017001939,0.0017747469],"category_scores_gemma":[0.007828234,0.0003236228,0.00042447165,0.00026540586,0.0013556909,0.0014035358,0.0021736326,0.0010548738,0.00029312316],"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":[0.00050767,0.0001578666,0.00057101576,0.00026809907,0.00003163444,0.00020573805,0.00029616532,0.7481367,0.075344995,0.11065078,0.00089774805,0.06293161],"study_design_scores_gemma":[0.0000142458575,0.00017291353,0.000087648536,0.000014239474,0.000004631794,0.000028739438,0.000010883416,0.97960943,0.008798819,0.010834955,0.00041399457,0.000009433733],"about_ca_topic_score_codex":0.00076850055,"about_ca_topic_score_gemma":0.00041298015,"teacher_disagreement_score":0.0017747469,"about_ca_system_score_codex":0.0006108045,"about_ca_system_score_gemma":0.0007970823,"threshold_uncertainty_score":0.0066983104},"labels":[],"label_agreement":null},{"id":"W4387993834","doi":"10.1016/j.automatica.2023.111367","title":"Saturated adaptive pose tracking control of spacecraft on SE(3) under attitude constraints and obstacle-avoidance constraints","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":22,"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 Toronto","funders":"National Natural Science Foundation of China","keywords":"Spacecraft; Control theory (sociology); Obstacle avoidance; Obstacle; Kinematics; Computer science; Controller (irrigation); Nonlinear system; Perturbation (astronomy); Control engineering; Attitude control; Engineering; Artificial intelligence; Control (management); Aerospace engineering; Mobile robot; Physics; Robot; Law","score_opus":0.02767257521632592,"score_gpt":0.25671725728163464,"score_spread":0.2290446820653087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387993834","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44515815,0.000100456884,0.5412096,0.00016576858,0.00004989889,0.000031134994,0.000052158113,0.00031299583,0.012919942],"genre_scores_gemma":[0.99715745,0.000018578561,0.0016919274,0.000012528563,0.0000051891407,0.0000097949405,0.000015782254,0.0000055146534,0.0010832234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999186,0.00001720843,0.0000032032772,0.000016931006,0.00001999665,0.000024057297],"domain_scores_gemma":[0.9998022,0.00006902533,0.00004223951,0.000014718263,0.000052938798,0.000018973005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001658883,0.00037306585,0.00038260766,0.00020979327,0.00028782908,0.0004974477,0.0003863202,0.00034972554,0.0011153053],"category_scores_gemma":[0.0005676424,0.00016530674,0.00021371937,0.00023721695,0.0005333849,0.00034732395,0.0009634037,0.00027545792,0.00015813707],"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":[0.00036769724,0.00004715982,0.0010864928,0.0000998443,0.00004569344,0.000196602,0.00024299086,0.9299815,0.029687392,0.009295832,0.0005771099,0.028371625],"study_design_scores_gemma":[0.000013310118,0.00008265674,0.00039022596,0.000002959806,0.000005317524,0.000010475646,0.000023622995,0.99626094,0.0012900787,0.0017391765,0.00017739327,0.0000038522458],"about_ca_topic_score_codex":0.0071155373,"about_ca_topic_score_gemma":0.0046756025,"teacher_disagreement_score":0.0071155373,"about_ca_system_score_codex":0.00026620895,"about_ca_system_score_gemma":0.00041995043,"threshold_uncertainty_score":0.014148235},"labels":[],"label_agreement":null},{"id":"W4388473479","doi":"10.1016/j.automatica.2023.111357","title":"Cooperative concurrent targeting for planar arrays of point sources","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Key Research and Development Program of China; Brock University; National Natural Science Foundation of China","keywords":"Intersection (aeronautics); Planar; Orientation (vector space); Point (geometry); Boundary (topology); Geometry; Convergence (economics); Plane (geometry); Coordinate system; Topology (electrical circuits); Mathematics; Computer science; Mathematical analysis; Combinatorics; Engineering; Aerospace engineering","score_opus":0.022644044143961567,"score_gpt":0.26926562877331567,"score_spread":0.2466215846293541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388473479","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067782395,0.00015214198,0.9268274,0.00013416857,0.000047117188,0.00003204178,0.000012636822,0.00022339485,0.004788849],"genre_scores_gemma":[0.93892056,0.00013002518,0.055827618,0.00004893217,0.000027187418,0.0000662056,0.00002505733,0.000035416862,0.00491904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995963,0.000079733974,0.000011462147,0.00008518858,0.00014700371,0.00008033819],"domain_scores_gemma":[0.9988681,0.00053632975,0.00018274972,0.00011353294,0.0002151054,0.00008423866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004390087,0.00056214514,0.0005722282,0.00042104797,0.0005693161,0.00074306707,0.0010161918,0.00076633587,0.001310368],"category_scores_gemma":[0.0020790019,0.0004642124,0.00042064942,0.0005775388,0.00073251035,0.00085046195,0.0023530258,0.00073771994,0.0003072658],"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":[0.00023800683,0.00008576119,0.0010627147,0.000085655665,0.000052047355,0.00035482182,0.0002759838,0.8681749,0.046839274,0.014604436,0.00089083123,0.067335635],"study_design_scores_gemma":[0.000016104426,0.00007832374,0.00017639506,0.0000027206247,0.00001130504,0.000063695334,0.00003663256,0.9887067,0.0034764968,0.006849429,0.0005746845,0.0000075150106],"about_ca_topic_score_codex":0.0018565914,"about_ca_topic_score_gemma":0.002269244,"teacher_disagreement_score":0.0018565914,"about_ca_system_score_codex":0.0004978326,"about_ca_system_score_gemma":0.0005513064,"threshold_uncertainty_score":0.0043836236},"labels":[],"label_agreement":null},{"id":"W4388626130","doi":"10.1016/j.automatica.2023.111408","title":"Towards invariant extended Kalman filter-based resilient distributed state estimation for moving robots over mobile sensor networks under deception attacks","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":21,"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 Victoria","funders":"Major Science and Technology Projects in Anhui Province; Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Extended Kalman filter; Computer science; Covariance intersection; Kalman filter; Jacobian matrix and determinant; Covariance; Wireless sensor network; Control theory (sociology); Linearization; Invariant extended Kalman filter; Covariance matrix; Mobile robot; Robot; Artificial intelligence; Algorithm; Nonlinear system; Mathematics","score_opus":0.021637429270822482,"score_gpt":0.28845617594711853,"score_spread":0.26681874667629607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388626130","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074406294,0.000116829346,0.99148774,0.00005242131,0.000034372963,0.00001150439,0.000017536748,0.00027806955,0.0005609044],"genre_scores_gemma":[0.79670006,0.0002839839,0.19869585,0.00016704667,0.0000902305,0.000089960275,0.00022470721,0.00010874196,0.0036394137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989334,0.00024811583,0.00006151256,0.00028555098,0.0003462305,0.0001252618],"domain_scores_gemma":[0.998207,0.0007111402,0.00024790372,0.0004035896,0.00037492096,0.000055471533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013842119,0.0009650762,0.0012502392,0.00060261134,0.00040731192,0.0008988065,0.0014218837,0.0010908295,0.0011096013],"category_scores_gemma":[0.0055388194,0.00051869714,0.00066684914,0.0006250973,0.000841679,0.0015548748,0.0019955938,0.0013158257,0.0006182041],"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":[0.00027801088,0.0000642104,0.00085033657,0.00010098391,0.000106721825,0.000145909,0.00017791186,0.83024585,0.012796608,0.013504335,0.001549575,0.14017956],"study_design_scores_gemma":[0.000004290874,0.000026825743,0.00010881546,0.0000032969756,0.0000062386557,0.000013163224,0.0000066366083,0.99671835,0.0007814297,0.0020977259,0.000228286,0.0000049866667],"about_ca_topic_score_codex":0.0045501166,"about_ca_topic_score_gemma":0.003502543,"teacher_disagreement_score":0.0045501166,"about_ca_system_score_codex":0.00050290686,"about_ca_system_score_gemma":0.00089363166,"threshold_uncertainty_score":0.00904727},"labels":[],"label_agreement":null},{"id":"W4388812385","doi":"10.1016/j.automatica.2023.111354","title":"Evolutionary matrix-game dynamics under imitation in heterogeneous populations","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of Alberta","funders":"Alberta Environment and Parks","keywords":"Imitation; Mathematical economics; Stochastic game; Population; Singleton; Outcome (game theory); Set (abstract data type); Normal-form game; Invariant (physics); Mathematics; Evolutionary game theory; Matrix (chemical analysis); Evolutionary dynamics; Repeated game; Computer science; Game theory; Psychology; Social psychology","score_opus":0.03991907481556687,"score_gpt":0.3560194485693559,"score_spread":0.316100373753789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388812385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.512876,0.0002906421,0.4596566,0.0020014718,0.00008121545,0.000113508584,0.00011879533,0.00018905987,0.024672784],"genre_scores_gemma":[0.98252594,0.000121750534,0.0114982445,0.000058027428,0.000027745251,0.000070114766,0.0000302237,0.000022690325,0.0056452467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990637,0.0005065504,0.000029829127,0.00013084487,0.00015494679,0.00011417064],"domain_scores_gemma":[0.9937226,0.0045719403,0.0005988942,0.00021803645,0.00044829535,0.00044021962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019073461,0.00058356207,0.0012330948,0.00088565005,0.00088859914,0.002499091,0.00149319,0.001830899,0.00402364],"category_scores_gemma":[0.012037112,0.0004119582,0.0006549069,0.00057621126,0.0024701003,0.0029832388,0.0015536486,0.001271226,0.0003716052],"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":[0.00011046652,0.00007643952,0.0011886162,0.00007615785,0.00008113149,0.00046941845,0.0004614597,0.3381231,0.004207878,0.6477207,0.0011351616,0.0063495487],"study_design_scores_gemma":[0.000025750634,0.000027626924,0.00031415513,0.000004814751,0.000008821754,0.00006769143,0.0000627104,0.8878402,0.00016058792,0.11125623,0.00021752717,0.0000138717805],"about_ca_topic_score_codex":0.0047687115,"about_ca_topic_score_gemma":0.0024300271,"teacher_disagreement_score":0.0047687115,"about_ca_system_score_codex":0.0015257943,"about_ca_system_score_gemma":0.0009806163,"threshold_uncertainty_score":0.013460398},"labels":[],"label_agreement":null},{"id":"W4389067938","doi":"10.1016/j.automatica.2023.111420","title":"A mean field game approach for a class of linear quadratic discrete choice problems with congestion avoidance","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Nash equilibrium; Mathematical optimization; Population; Finite set; Set (abstract data type); Computer science; Upper and lower bounds; Fictitious play; Quadratic equation; Class (philosophy); Mathematics; Artificial intelligence","score_opus":0.015414125259249388,"score_gpt":0.24890623864187322,"score_spread":0.23349211338262382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389067938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039381713,0.0010844144,0.9324883,0.002618055,0.000278147,0.00011783393,0.00021235549,0.000071159906,0.023748081],"genre_scores_gemma":[0.809465,0.001625408,0.12789088,0.00093310745,0.0006685936,0.0005030237,0.00026987412,0.00012224163,0.05852184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987984,0.0006463025,0.00003216852,0.00018195096,0.0001827572,0.00015841117],"domain_scores_gemma":[0.9968759,0.0022176807,0.00023357302,0.000074016825,0.00023680933,0.00036206006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025614933,0.0016436833,0.0026912445,0.0014317817,0.0011294557,0.0026850419,0.0031183995,0.0036235133,0.006282262],"category_scores_gemma":[0.006011836,0.0010247852,0.0022111097,0.0011018305,0.0030030822,0.0024908562,0.0027862526,0.0033765803,0.0003192246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005659882,0.000111635476,0.00038878864,0.00010490883,0.000093932744,0.00015827005,0.00011297165,0.3525597,0.00064247235,0.63933355,0.0024579288,0.00397922],"study_design_scores_gemma":[0.000029942445,0.000032778324,0.00008984735,0.0000107423975,0.000015785845,0.000021557831,0.000024736479,0.8707824,0.00003882242,0.12815635,0.00078144675,0.000015610001],"about_ca_topic_score_codex":0.010340974,"about_ca_topic_score_gemma":0.007943896,"teacher_disagreement_score":0.010340974,"about_ca_system_score_codex":0.0027710896,"about_ca_system_score_gemma":0.0023557586,"threshold_uncertainty_score":0.0210163},"labels":[],"label_agreement":null},{"id":"W4389215222","doi":"10.1016/j.automatica.2023.111417","title":"Resilient and constrained consensus against adversarial attacks: A distributed MPC framework","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robustness (evolution); Subsequence; Consensus; Adversarial system; Convergence (economics); Resilience (materials science); Distributed computing; Mathematical optimization; Multi-agent system; Mathematics; Artificial intelligence","score_opus":0.015372967291396193,"score_gpt":0.2615588138102654,"score_spread":0.2461858465188692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389215222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018289898,0.00013959639,0.97664183,0.00022912251,0.0000387863,0.000025537693,0.00003206109,0.00027099714,0.00433224],"genre_scores_gemma":[0.9563112,0.00011073942,0.040409286,0.00006232985,0.000061114486,0.000056286008,0.000034684737,0.000048802754,0.0029056012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992243,0.0002231903,0.000026497239,0.00019248301,0.00022062183,0.00011299618],"domain_scores_gemma":[0.99885035,0.00051233434,0.0001553254,0.00022848933,0.00017035908,0.000083154206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011284003,0.0007810527,0.0010780821,0.00045854147,0.0006214449,0.0010513114,0.0017342237,0.0010807023,0.0019067135],"category_scores_gemma":[0.0033213005,0.0003803627,0.0005459202,0.00051910913,0.0012533112,0.0013956918,0.0023138346,0.0012855772,0.00025670032],"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":[0.00005547452,0.000019505134,0.00007866403,0.000018874867,0.000021679307,0.000039465423,0.000025333498,0.970688,0.0009779806,0.019065391,0.00029901767,0.00871065],"study_design_scores_gemma":[0.0000045022753,0.000010606338,0.000019075484,0.000001021772,0.0000028544036,0.0000036638935,0.0000023039386,0.9931456,0.00013119199,0.0065623876,0.00011475138,0.0000020177924],"about_ca_topic_score_codex":0.0027629526,"about_ca_topic_score_gemma":0.0022324391,"teacher_disagreement_score":0.0027629526,"about_ca_system_score_codex":0.0007023909,"about_ca_system_score_gemma":0.0010026805,"threshold_uncertainty_score":0.0063786507},"labels":[],"label_agreement":null},{"id":"W4390496261","doi":"10.1016/j.automatica.2023.111489","title":"Adaptive output observers-based distributed tracking","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","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":"Dalhousie University","funders":"Beijing Institute of Technology Research Fund Program for Young Scholars; Beijing Association for Science and Technology; National Natural Science Foundation of China","keywords":"Control theory (sociology); Observer (physics); Tracking (education); Computer science; Controller (irrigation); State observer; Dimension (graph theory); Adaptive control; Multi-agent system; Control engineering; Control (management); Engineering; Mathematics; Artificial intelligence; Nonlinear system","score_opus":0.037408914206249075,"score_gpt":0.2617055551027377,"score_spread":0.2242966408964886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390496261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033183894,0.000076110744,0.9952232,0.000025864845,0.0000429965,0.00001157786,0.0000074265117,0.00021950383,0.0010748593],"genre_scores_gemma":[0.8537907,0.00037058792,0.13789958,0.00009163855,0.00011260753,0.00018840846,0.00014118518,0.00007310145,0.007332255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995547,0.000065529006,0.000027277089,0.00012203054,0.00019479495,0.000035598972],"domain_scores_gemma":[0.99950635,0.00013069452,0.00007484613,0.000057640085,0.00020560743,0.000024825446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005076056,0.0005169878,0.0006435421,0.00026664027,0.00025027385,0.0006862803,0.0009926884,0.0005125871,0.0010691498],"category_scores_gemma":[0.0012323986,0.00020905743,0.0003547514,0.0002646299,0.00045142314,0.0007767614,0.0008371566,0.00096128526,0.00029299993],"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":[0.00029258686,0.00011751405,0.0015879896,0.00028656036,0.0001004166,0.00025522278,0.0003273154,0.5804489,0.061862294,0.04589021,0.0028418635,0.30598906],"study_design_scores_gemma":[0.000020267918,0.00005365219,0.00013121536,0.000005965961,0.000009809219,0.000018193774,0.000007708756,0.9932372,0.003265986,0.0016250714,0.0016180275,0.0000069903977],"about_ca_topic_score_codex":0.0019408652,"about_ca_topic_score_gemma":0.0015621396,"teacher_disagreement_score":0.0019408652,"about_ca_system_score_codex":0.000370516,"about_ca_system_score_gemma":0.0005480416,"threshold_uncertainty_score":0.0038591027},"labels":[],"label_agreement":null},{"id":"W4390569937","doi":"10.1016/j.automatica.2023.111497","title":"Protocol selection for second-order consensus against disturbance","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":14,"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":"Natural Science Basic Research Program of Shaanxi Province; Young Scientists Fund; Program for New Century Excellent Talents in University; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; University of Alberta","keywords":"Disturbance (geology); Protocol (science); Laplacian matrix; Control theory (sociology); Position (finance); Computer science; Transformation (genetics); Eigenvalues and eigenvectors; Selection (genetic algorithm); Graph; Signed graph; Order (exchange); Topology (electrical circuits); Mathematics; Control (management); Theoretical computer science; Physics; Artificial intelligence; Combinatorics","score_opus":0.017515244184434335,"score_gpt":0.29196886353997265,"score_spread":0.2744536193555383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390569937","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026776195,0.00013167909,0.96817076,0.00023514981,0.0000635946,0.0001412666,0.000020510552,0.00033298627,0.0041279155],"genre_scores_gemma":[0.92572564,0.00015756133,0.07048125,0.00012290225,0.000034529734,0.000372471,0.000064879976,0.000044504857,0.0029962414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978301,0.00072131096,0.00012142945,0.00036758767,0.0007439456,0.00021560877],"domain_scores_gemma":[0.9971923,0.0013645049,0.00037233913,0.00038158862,0.0005175711,0.00017175091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002241078,0.0006794704,0.0006034462,0.00075604225,0.0005671597,0.0010633563,0.0011672487,0.0008168187,0.0019339905],"category_scores_gemma":[0.006047313,0.00022574604,0.00047125408,0.00059805374,0.0011163444,0.0013957708,0.0016210404,0.0009786143,0.00029800247],"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":[0.00041714773,0.00014330022,0.0012786378,0.00048255236,0.00011727935,0.0006126867,0.0009881351,0.50075144,0.058711834,0.33486775,0.0031361333,0.09849311],"study_design_scores_gemma":[0.000056546753,0.00018452202,0.00018111913,0.000015720596,0.000017894441,0.00013141033,0.000079113466,0.94968784,0.007877367,0.03976909,0.0019718327,0.000027537037],"about_ca_topic_score_codex":0.00063156,"about_ca_topic_score_gemma":0.00054160855,"teacher_disagreement_score":0.002241078,"about_ca_system_score_codex":0.00069005694,"about_ca_system_score_gemma":0.0012563702,"threshold_uncertainty_score":0.011852086},"labels":[],"label_agreement":null},{"id":"W4390911693","doi":"10.1016/j.automatica.2024.111524","title":"Model predictive control for asynchronously switched linear systems with mode-dependent dwell time","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China; Japan Society for the Promotion of Science; Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Asynchronous communication; Dwell time; Set (abstract data type); Model predictive control; Exponential stability; Linear system; Constraint (computer-aided design); Mathematics; Stability (learning theory); Invariant (physics); Stability theory; Computer science; Control (management); Nonlinear system","score_opus":0.007754650418853921,"score_gpt":0.21643175766053813,"score_spread":0.2086771072416842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390911693","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07735308,0.0007295798,0.9145055,0.0003638128,0.00021206627,0.000032633077,0.00009572935,0.0003703987,0.006337237],"genre_scores_gemma":[0.9923171,0.00018072355,0.005178382,0.00003764977,0.00003499442,0.000035392677,0.000036787333,0.000012712683,0.0021661299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997203,0.000053742835,0.000012425086,0.00007019809,0.00009251897,0.0000509192],"domain_scores_gemma":[0.99941945,0.00028727506,0.00009989961,0.000044898614,0.00013002231,0.000018484294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050841185,0.0006602045,0.0006250783,0.0003026945,0.0004062293,0.0010426905,0.00089315115,0.00063960854,0.0016833649],"category_scores_gemma":[0.0015925203,0.00035372714,0.00038982733,0.00036280393,0.0006929361,0.0006479152,0.00068144477,0.0010362852,0.0001902237],"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":[0.0002180766,0.00006675184,0.00035775662,0.00013884495,0.0000539729,0.00011209274,0.0001475832,0.93630046,0.0064653475,0.01786362,0.0011102083,0.037165273],"study_design_scores_gemma":[0.0000085052425,0.000029739003,0.00009504064,0.0000030314143,0.000005915917,0.0000059969534,0.000003724801,0.9974995,0.0003528431,0.00183619,0.0001564572,0.000002978491],"about_ca_topic_score_codex":0.008109084,"about_ca_topic_score_gemma":0.008964092,"teacher_disagreement_score":0.008109084,"about_ca_system_score_codex":0.0006514439,"about_ca_system_score_gemma":0.0007910501,"threshold_uncertainty_score":0.016123772},"labels":[],"label_agreement":null},{"id":"W4391055620","doi":"10.1016/j.automatica.2024.111514","title":"Distributed empirical risk minimization with differential privacy","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":11,"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 Victoria","funders":"Knut och Alice Wallenbergs Stiftelse; Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science London; International Federation of Automatic Control; Vetenskapsrådet; Stiftelsen för Strategisk Forskning","keywords":"Differential privacy; Benchmark (surveying); Computer science; Mathematical optimization; Convergence (economics); Noise (video); Minification; Empirical risk minimization; Dual (grammatical number); Convex optimization; Optimization problem; Constraint (computer-aided design); Class (philosophy); Fraction (chemistry); Regular polygon; Algorithm; Mathematics; Artificial intelligence","score_opus":0.02200699237123229,"score_gpt":0.28478322942240536,"score_spread":0.2627762370511731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391055620","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077618775,0.00016342229,0.9910439,0.00022030188,0.000013339213,0.000018468954,0.000023986484,0.00009231634,0.00066236925],"genre_scores_gemma":[0.7233941,0.00040624585,0.27241457,0.0002761288,0.0001465712,0.0001565823,0.00017277325,0.000097861936,0.0029351164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966875,0.0016007212,0.00011119199,0.000730123,0.0006731121,0.0001973518],"domain_scores_gemma":[0.99483913,0.003350131,0.00040771865,0.00092829124,0.00034691978,0.00012785198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003864529,0.00080732355,0.0014702764,0.0004236658,0.00042316047,0.0014383099,0.0016741618,0.0012480267,0.0010730947],"category_scores_gemma":[0.011065897,0.00042956683,0.0007291718,0.0008709622,0.0014080724,0.0022452255,0.0022968396,0.0019732916,0.00029101525],"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":[0.00018490182,0.000106740605,0.0010353848,0.00012319243,0.00009144404,0.00013690325,0.000088041066,0.83488804,0.0034490186,0.08546374,0.0017354097,0.072697215],"study_design_scores_gemma":[0.000012864134,0.000038920116,0.00009615566,0.000004520618,0.000006314163,0.000046137793,0.000007646917,0.9715191,0.00093350885,0.026893076,0.00043666165,0.0000050806416],"about_ca_topic_score_codex":0.00063721277,"about_ca_topic_score_gemma":0.00053787616,"teacher_disagreement_score":0.003864529,"about_ca_system_score_codex":0.0010058556,"about_ca_system_score_gemma":0.0009611521,"threshold_uncertainty_score":0.020437837},"labels":[],"label_agreement":null},{"id":"W4391554342","doi":"10.1016/j.automatica.2024.111546","title":"Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"University of Toronto","keywords":"Observable; Scale (ratio); Computer science; Physics; Geography; Cartography","score_opus":0.007157800798922264,"score_gpt":0.2119638239944722,"score_spread":0.20480602319554994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391554342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033363078,0.0010930911,0.9579093,0.0012093808,0.000094328476,0.00003424398,0.0002831797,0.00011081525,0.0059025763],"genre_scores_gemma":[0.9337436,0.0011159198,0.05748878,0.00021799645,0.00025415543,0.00013112479,0.00026333588,0.0000618049,0.0067232703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993793,0.0002489701,0.00003107462,0.0001409521,0.00013481168,0.00006484566],"domain_scores_gemma":[0.99647456,0.0024963503,0.0003552441,0.0001886885,0.00031569978,0.00016937332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013356368,0.000985402,0.0014820604,0.0008914613,0.00061018043,0.0012730132,0.0010521855,0.0012190643,0.0020672579],"category_scores_gemma":[0.0045688218,0.0004439819,0.0014538101,0.00080255454,0.002038625,0.0016006274,0.0018063113,0.0018007392,0.0001806038],"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":[0.000055780798,0.00003839279,0.00073326216,0.00015777761,0.000085298285,0.00017355505,0.00012848274,0.6066718,0.0016127717,0.379696,0.0011654434,0.009481435],"study_design_scores_gemma":[0.000008207152,0.000016985126,0.00019493267,0.0000069351795,0.00001421707,0.000018450653,0.000010166026,0.8831864,0.000134872,0.11605075,0.0003476645,0.000010453779],"about_ca_topic_score_codex":0.0042392435,"about_ca_topic_score_gemma":0.003531994,"teacher_disagreement_score":0.0042392435,"about_ca_system_score_codex":0.0013030017,"about_ca_system_score_gemma":0.0012711763,"threshold_uncertainty_score":0.009454012},"labels":[],"label_agreement":null},{"id":"W4391916513","doi":"10.1016/j.automatica.2024.111564","title":"Distributed state estimation for jointly observable linear systems over time-varying networks","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social connectedness; Observable; State (computer science); Observer (physics); Control theory (sociology); Computer science; Network topology; Linear system; Telecommunications network; Markov process; Exponential stability; Topology (electrical circuits); Mathematics; Control (management); Algorithm; Artificial intelligence","score_opus":0.016126672266512192,"score_gpt":0.25872735605169034,"score_spread":0.24260068378517816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391916513","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020832855,0.00025625766,0.977879,0.00020157984,0.00003349586,0.000027100074,0.000056516106,0.00014389015,0.00056931505],"genre_scores_gemma":[0.93796676,0.0004448327,0.057111584,0.00008536911,0.000114206654,0.00015241624,0.0003128312,0.000052299583,0.0037597483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987167,0.00036923203,0.00008705471,0.0004222835,0.00023766852,0.00016714113],"domain_scores_gemma":[0.9931837,0.0051126042,0.0007613005,0.00031096226,0.0005147875,0.00011674103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019219767,0.0012113123,0.0017466564,0.0007050544,0.0006602681,0.0014100637,0.0012983178,0.0016065578,0.0013106551],"category_scores_gemma":[0.011219115,0.0011721501,0.0007959609,0.0010503768,0.0014462349,0.0020920658,0.0018852046,0.0018599321,0.00028237494],"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":[0.00009456858,0.000024065834,0.0005088454,0.000040982988,0.000049614773,0.000039468923,0.00004691218,0.9811453,0.0005536815,0.0032152033,0.00018903412,0.014092365],"study_design_scores_gemma":[0.0000073476504,0.000009067921,0.00011428537,0.0000024506899,0.0000053335016,0.000004708797,0.000004946962,0.9975453,0.00015387419,0.0020910439,0.00005849837,0.0000031674206],"about_ca_topic_score_codex":0.015564801,"about_ca_topic_score_gemma":0.012113189,"teacher_disagreement_score":0.015564801,"about_ca_system_score_codex":0.0012716365,"about_ca_system_score_gemma":0.0015004941,"threshold_uncertainty_score":0.0309484},"labels":[],"label_agreement":null},{"id":"W4393103270","doi":"10.1016/j.automatica.2024.111642","title":"Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Honeywell (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Modular design; Stability (learning theory); Reinforcement; Control (management); Computer science; Control theory (sociology); Control engineering; Engineering; Artificial intelligence; Machine learning; Structural engineering","score_opus":0.017381132492226135,"score_gpt":0.2899690171600185,"score_spread":0.2725878846677924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393103270","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016355109,0.000041697556,0.9968899,0.00006629479,0.000011674082,0.000016970467,0.000011470852,0.00014090785,0.0011855367],"genre_scores_gemma":[0.5991974,0.00032892768,0.39487752,0.00026352363,0.00009860521,0.000524994,0.000092709946,0.00022162839,0.0043947087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936193,0.0001668459,0.000031652475,0.00016556929,0.00020569107,0.00006821603],"domain_scores_gemma":[0.9993198,0.00026825428,0.00009671117,0.000115617055,0.00014254922,0.000057005687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001782557,0.0012218021,0.00089620677,0.0004945056,0.00035007665,0.0012254226,0.0018886018,0.0011072878,0.0029194898],"category_scores_gemma":[0.002628082,0.0004657815,0.0007414246,0.00035861594,0.001987974,0.0011587196,0.0018865266,0.0021089069,0.0006060982],"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":[0.000040606155,0.00003676975,0.00018289394,0.00007265803,0.000040096427,0.000045353383,0.00006949309,0.8412629,0.0044823675,0.12331071,0.0009295395,0.02952664],"study_design_scores_gemma":[0.000009109641,0.000029027871,0.000019130799,0.000007412438,0.0000046599475,0.0000060630305,0.0000032963464,0.97325146,0.00056495634,0.025557498,0.0005416706,0.0000057427383],"about_ca_topic_score_codex":0.0016426594,"about_ca_topic_score_gemma":0.0018930709,"teacher_disagreement_score":0.0029194898,"about_ca_system_score_codex":0.0010285631,"about_ca_system_score_gemma":0.0014594357,"threshold_uncertainty_score":0.009766698},"labels":[],"label_agreement":null},{"id":"W4394837265","doi":"10.1016/j.automatica.2024.111683","title":"A uniform approach to compare architectures in decentralized discrete-event systems","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Architecture; Morphism; Computer science; Event (particle physics); Distributed computing; Systems architecture; Theoretical computer science; Mathematics; Discrete mathematics","score_opus":0.0222672452524075,"score_gpt":0.2860801202133918,"score_spread":0.2638128749609843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394837265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011550214,0.00024488522,0.9755161,0.00025124778,0.0002289634,0.00046890564,0.00045664838,0.00070743787,0.010575612],"genre_scores_gemma":[0.26521656,0.00038303502,0.7263799,0.00028685975,0.00012298976,0.0026682978,0.0008729884,0.00034451677,0.003724903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98121476,0.008885335,0.0022717544,0.001733214,0.0052181412,0.00067681435],"domain_scores_gemma":[0.98085105,0.0064282324,0.001128855,0.0070500714,0.0040077497,0.00053404656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013231821,0.0011217806,0.0015942035,0.0035722042,0.0014802206,0.00573729,0.003542901,0.0024340658,0.006846588],"category_scores_gemma":[0.048935693,0.00052257936,0.0016297245,0.0035203963,0.0032352235,0.006624154,0.0052772895,0.0038753634,0.0013322968],"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":[0.00063223735,0.00044529737,0.0035061832,0.00072329206,0.00047646285,0.00018207583,0.00040691622,0.06455841,0.013094867,0.7375371,0.0038924818,0.17454474],"study_design_scores_gemma":[0.00039170223,0.0016425238,0.0035746174,0.0005729397,0.00053870823,0.00040677446,0.00091383135,0.30212167,0.031357136,0.608867,0.04942597,0.00018718113],"about_ca_topic_score_codex":0.00095808733,"about_ca_topic_score_gemma":0.0011129741,"teacher_disagreement_score":0.013231821,"about_ca_system_score_codex":0.0012870424,"about_ca_system_score_gemma":0.0021374351,"threshold_uncertainty_score":0.06997746},"labels":[],"label_agreement":null},{"id":"W4395069367","doi":"10.1016/j.automatica.2024.111691","title":"Back-and-forth nudging moving horizon estimation for discrete-time linear systems","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete time and continuous time; Horizon; Control theory (sociology); Linear system; Estimation; Computer science; Time horizon; Moving horizon estimation; Mathematics; Mathematical optimization; Kalman filter; Control (management); Engineering; Statistics; Artificial intelligence; Mathematical analysis; Extended Kalman filter","score_opus":0.004981022547115704,"score_gpt":0.22631126580086036,"score_spread":0.22133024325374465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395069367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020227823,0.00017229869,0.9973711,0.000028903276,0.00003009581,0.000011261084,0.000006591864,0.0000889284,0.00026806124],"genre_scores_gemma":[0.44584644,0.0006623687,0.5497885,0.00013941419,0.0001256104,0.0001775016,0.00013400748,0.000078570134,0.0030475657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927396,0.00018287227,0.000054030297,0.00016389565,0.0002740603,0.000051103078],"domain_scores_gemma":[0.998899,0.0006186421,0.00013848327,0.000108273714,0.00020797644,0.000027606571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011834466,0.00089424115,0.0009494138,0.0004928715,0.00048819304,0.00062684173,0.0011229733,0.00096439646,0.0012625939],"category_scores_gemma":[0.0037414248,0.00043713435,0.0005485106,0.00052596896,0.00067801983,0.001318911,0.00080084783,0.0013428759,0.000336611],"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":[0.00022416686,0.00005916851,0.0007938917,0.00037367255,0.00008070419,0.0001178801,0.00021044824,0.664246,0.014787626,0.027805157,0.0012711702,0.2900301],"study_design_scores_gemma":[0.0000061315345,0.000046463494,0.000098332544,0.000008491647,0.0000068983354,0.000020440242,0.0000053827575,0.9942538,0.0025386869,0.0020303598,0.0009742097,0.000010690854],"about_ca_topic_score_codex":0.0033407547,"about_ca_topic_score_gemma":0.002288598,"teacher_disagreement_score":0.0033407547,"about_ca_system_score_codex":0.00049665524,"about_ca_system_score_gemma":0.00089037226,"threshold_uncertainty_score":0.0066426396},"labels":[],"label_agreement":null},{"id":"W4396650127","doi":"10.1016/j.automatica.2024.111695","title":"Learning nonlinear dynamics in synchronization of knowledge-based leader-following networks","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality","keywords":"Synchronization (alternating current); Dynamics (music); Nonlinear system; Computer science; Control theory (sociology); Artificial intelligence; Control (management); Physics; Computer network","score_opus":0.009116314538915461,"score_gpt":0.24767737052997246,"score_spread":0.238561055991057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396650127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2752859,0.00037894974,0.7164767,0.0004982348,0.00006632274,0.000044915338,0.000070260656,0.00020243108,0.00697624],"genre_scores_gemma":[0.9911048,0.00009627319,0.006860148,0.000026805405,0.000013563424,0.000024578558,0.000025908514,0.00000853644,0.0018393802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975497,0.0000642376,0.000014739016,0.00007517755,0.000053471187,0.000037314094],"domain_scores_gemma":[0.99874264,0.0007657135,0.00019684879,0.00007759484,0.00015946318,0.000057883426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007995067,0.00030174825,0.0005580878,0.00027248642,0.00039959443,0.00080621464,0.0006974526,0.0006237348,0.0015560944],"category_scores_gemma":[0.004631905,0.00027048303,0.0002572109,0.0002814225,0.000763711,0.0010691651,0.0009291649,0.00062835927,0.00016933694],"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":[0.00016021889,0.000057190697,0.0012566971,0.000062636136,0.000058041373,0.00008542334,0.00016785895,0.93102235,0.0036061094,0.033954762,0.00039541995,0.029173346],"study_design_scores_gemma":[0.000009653013,0.000024758867,0.00021855491,0.000003905831,0.000006684853,0.000009757098,0.00000955512,0.99030674,0.00041173308,0.0088951355,0.000099107085,0.000004395244],"about_ca_topic_score_codex":0.0038213674,"about_ca_topic_score_gemma":0.003114292,"teacher_disagreement_score":0.0038213674,"about_ca_system_score_codex":0.0006413507,"about_ca_system_score_gemma":0.0006814597,"threshold_uncertainty_score":0.007598281},"labels":[],"label_agreement":null},{"id":"W4398759594","doi":"10.1016/j.automatica.2024.111726","title":"Parameter tuning of modified adaptive backstepping controller for strict-feedback nonlinear systems","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Backstepping; Control theory (sociology); Nonlinear system; Control engineering; Controller (irrigation); Strict-feedback form; Output feedback; Adaptive control; Computer science; Mathematics; Engineering; Control (management); Physics; Artificial intelligence","score_opus":0.026684059844510357,"score_gpt":0.24789328684368683,"score_spread":0.22120922699917647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398759594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15483029,0.00040103737,0.83810985,0.0000977298,0.000114401635,0.00011175196,0.00003759148,0.0007370383,0.0055602854],"genre_scores_gemma":[0.9826819,0.000063881416,0.0161592,0.000028688082,0.000008591443,0.000053689655,0.000028509547,0.000016924758,0.00095870794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998086,0.000043103868,0.000018346138,0.00003547738,0.00007378188,0.000020709806],"domain_scores_gemma":[0.9996494,0.00011064432,0.00003805652,0.000044882396,0.0001444572,0.000012603381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040753584,0.00046311758,0.00039663567,0.00028835202,0.00027146554,0.0005399354,0.000553789,0.0005347665,0.0012041935],"category_scores_gemma":[0.0013349507,0.00017728932,0.00020716009,0.0001758143,0.00025503826,0.00027242381,0.000407001,0.00032845492,0.0002465359],"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":[0.0008128789,0.00018708789,0.0019120765,0.00062991894,0.00014247619,0.00034646533,0.0004995652,0.56405354,0.16577369,0.0056432197,0.0020112884,0.25798786],"study_design_scores_gemma":[0.000038354327,0.00017003933,0.0010443097,0.000011002781,0.000015762982,0.000056628796,0.000016734859,0.9875072,0.009630372,0.00067493384,0.0008169064,0.000017727614],"about_ca_topic_score_codex":0.002154119,"about_ca_topic_score_gemma":0.0018860481,"teacher_disagreement_score":0.002154119,"about_ca_system_score_codex":0.00016747907,"about_ca_system_score_gemma":0.0003437659,"threshold_uncertainty_score":0.00428313},"labels":[],"label_agreement":null},{"id":"W4399413488","doi":"10.1016/j.automatica.2024.111747","title":"Nonlinear stealthy attacks on remote state estimation","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Commission of Shanghai Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Nonlinear system; State (computer science); Computer science; Estimation; Control theory (sociology); Computer security; Engineering; Algorithm; Physics; Artificial intelligence; Control (management); Systems engineering","score_opus":0.007916436910877395,"score_gpt":0.25389041296645526,"score_spread":0.24597397605557786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399413488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21315148,0.00017904297,0.7781395,0.00056543853,0.00010036985,0.000031351465,0.00006415894,0.00054529356,0.007223408],"genre_scores_gemma":[0.9818741,0.000069795475,0.014503229,0.00006423952,0.000033760512,0.000013243533,0.000040202136,0.000032139476,0.0033693626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910885,0.0002669068,0.000032944186,0.0001587413,0.00027367735,0.00015873766],"domain_scores_gemma":[0.9972773,0.0016589708,0.0002458924,0.0005341684,0.00021338295,0.000070323294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092428166,0.0007384986,0.0006283227,0.00031460111,0.0004056333,0.00053423486,0.00040870256,0.0009531348,0.0018317107],"category_scores_gemma":[0.0065641184,0.00035181188,0.00039768007,0.00030211586,0.001191217,0.0018544056,0.0029623006,0.0013303326,0.0003964646],"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":[0.0013042939,0.000118825126,0.003485557,0.00007830915,0.00015105082,0.00046052612,0.00022547241,0.7754933,0.04887101,0.04748436,0.0017562628,0.12057101],"study_design_scores_gemma":[0.0000070093997,0.000040069805,0.00051632104,0.0000038191924,0.0000063699513,0.000051140792,0.000008794038,0.9892889,0.004324092,0.0055334605,0.00021331194,0.0000066444973],"about_ca_topic_score_codex":0.0014728177,"about_ca_topic_score_gemma":0.0015677433,"teacher_disagreement_score":0.0018317107,"about_ca_system_score_codex":0.00040317184,"about_ca_system_score_gemma":0.00041535418,"threshold_uncertainty_score":0.0061276555},"labels":[],"label_agreement":null},{"id":"W4399461022","doi":"10.1016/j.automatica.2024.111758","title":"Online dynamic submodular optimization","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Submodular set function; Mathematical optimization; Computer science; Mathematics","score_opus":0.004172722539743211,"score_gpt":0.20440403039712743,"score_spread":0.20023130785738422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399461022","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068743816,0.00028924027,0.98707587,0.00038098698,0.00006342354,0.00008408883,0.0001179261,0.0008306697,0.004283413],"genre_scores_gemma":[0.4592415,0.00048452234,0.5314827,0.0007104885,0.00016159921,0.0005120747,0.00065493194,0.00039914338,0.0063530477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987691,0.00042331594,0.0000386895,0.00028150744,0.00028606545,0.0002012741],"domain_scores_gemma":[0.9980551,0.0011295523,0.00020369136,0.00032963103,0.00016461939,0.000117426796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013558458,0.0015918146,0.001647409,0.0005594168,0.000538396,0.001336875,0.0020812291,0.0015305242,0.00436771],"category_scores_gemma":[0.0044293725,0.0006376034,0.0007685668,0.0011461672,0.0010598147,0.0019585374,0.0020268278,0.0024726395,0.0010527074],"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":[0.0001779409,0.00025888596,0.00047050856,0.0001641886,0.000054896365,0.00009248848,0.00005707111,0.8165149,0.001800896,0.05638361,0.011407339,0.11261725],"study_design_scores_gemma":[0.00001990338,0.000026086138,0.00003893078,0.0000055448345,0.0000030459632,0.000017059336,0.0000057197767,0.9835451,0.00028428022,0.015123907,0.00092642725,0.0000039791043],"about_ca_topic_score_codex":0.0021204585,"about_ca_topic_score_gemma":0.003159381,"teacher_disagreement_score":0.00436771,"about_ca_system_score_codex":0.0012327196,"about_ca_system_score_gemma":0.0018211838,"threshold_uncertainty_score":0.014611423},"labels":[],"label_agreement":null},{"id":"W4399989390","doi":"10.1016/j.automatica.2024.111798","title":"Sampled-data event-triggered control with sampling-independent positive guarantees on inter-event times","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":8,"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 Alberta","funders":"","keywords":"Event (particle physics); Event data; Sampling (signal processing); Control (management); Computer science; Statistics; Real-time computing; Mathematics; Control theory (sociology); Artificial intelligence; Telecommunications; Physics","score_opus":0.017294682618111522,"score_gpt":0.2623574792746292,"score_spread":0.2450627966565177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399989390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007445644,0.00016729828,0.98971915,0.0001220976,0.000093896946,0.00005056205,0.00007482962,0.00032975784,0.0019968883],"genre_scores_gemma":[0.9483204,0.00023898679,0.048604354,0.00019402713,0.00014658595,0.00018362114,0.00013780015,0.00013275612,0.002041436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99715304,0.0006743069,0.00018382823,0.0005794166,0.0011427035,0.00026672625],"domain_scores_gemma":[0.9890543,0.0063859415,0.0012252298,0.0012187167,0.0017170801,0.00039869623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038213513,0.0020660423,0.0013960088,0.0006918405,0.00052808615,0.0024450747,0.0021547833,0.0013112181,0.0034476076],"category_scores_gemma":[0.017323343,0.00056827004,0.0008374793,0.00079381943,0.0015477652,0.002010585,0.0024407047,0.0031714283,0.000523891],"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":[0.0026324089,0.00030434848,0.0007584117,0.0008718637,0.0001496594,0.00043222372,0.00049318327,0.6545911,0.022829512,0.21053754,0.0034154754,0.10298429],"study_design_scores_gemma":[0.000056631612,0.00011589308,0.00014000869,0.000018960063,0.000013883389,0.000042810694,0.000010418269,0.9768024,0.0028151523,0.01949886,0.00047080003,0.000014143693],"about_ca_topic_score_codex":0.0010368298,"about_ca_topic_score_gemma":0.0008783181,"teacher_disagreement_score":0.0038213513,"about_ca_system_score_codex":0.00093510066,"about_ca_system_score_gemma":0.0019450142,"threshold_uncertainty_score":0.020209491},"labels":[],"label_agreement":null},{"id":"W4401454816","doi":"10.1016/j.automatica.2024.111836","title":"Data-driven model reduction for port-Hamiltonian and network systems in the Loewner framework","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":16,"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":"Centre For Medical Engineering, King’s College London; Ministero dell'Istruzione e del Merito; Ontario Ministry of Research and Innovation; FP7 Coordination of Research Activities; Invention for Innovation Programme; Engineering and Physical Sciences Research Council","keywords":"Reduction (mathematics); Port (circuit theory); Hamiltonian system; Mathematics; Computer science; Control theory (sociology); Engineering; Mathematical analysis; Control (management); Electronic engineering; Artificial intelligence; Geometry","score_opus":0.04239005516934742,"score_gpt":0.3108275662128872,"score_spread":0.2684375110435398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401454816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023434082,0.00013462959,0.9727749,0.00022450883,0.000024588584,0.000039263115,0.00013612215,0.00012804013,0.0031038008],"genre_scores_gemma":[0.73042136,0.0004647795,0.25690022,0.00017281593,0.0000604488,0.00043358712,0.0008592761,0.00021443228,0.010473063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942833,0.00021020949,0.000029991566,0.00013195472,0.00013830213,0.00006115409],"domain_scores_gemma":[0.9992894,0.00034360363,0.00008162871,0.00012465019,0.000103828206,0.000056892295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001336651,0.0008566656,0.001141806,0.0006590648,0.00051384507,0.0010963363,0.0014261262,0.00085147267,0.0024252245],"category_scores_gemma":[0.002668747,0.00036603273,0.0015479863,0.00051531993,0.0014931309,0.0017467263,0.0020792363,0.0018087297,0.0003470294],"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":[0.000054118635,0.000054962442,0.00048119677,0.00010632568,0.000055603905,0.00013082573,0.00016740528,0.657598,0.0036324821,0.32769346,0.00051169813,0.009513937],"study_design_scores_gemma":[0.000005042154,0.000015353236,0.00005641479,0.000004193341,0.000004725656,0.0000086988275,0.000015630183,0.9035355,0.0005008102,0.09543745,0.00040885157,0.0000073238684],"about_ca_topic_score_codex":0.004525662,"about_ca_topic_score_gemma":0.004381301,"teacher_disagreement_score":0.004525662,"about_ca_system_score_codex":0.0013734663,"about_ca_system_score_gemma":0.0011859897,"threshold_uncertainty_score":0.009965241},"labels":[],"label_agreement":null},{"id":"W4402087542","doi":"10.1016/j.automatica.2024.111878","title":"On a class of linear quadratic Gaussian quantilized mean field games","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Army Research Office; Institut de Valorisation des Données","keywords":"Class (philosophy); Mathematics; Gaussian; Quadratic equation; Applied mathematics; Field (mathematics); Pure mathematics; Computer science; Artificial intelligence; Physics; Geometry","score_opus":0.024460686571176962,"score_gpt":0.2618872908910014,"score_spread":0.23742660431982443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402087542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25158396,0.0015728545,0.67917365,0.0039864574,0.0003105112,0.00022140575,0.0007071618,0.00030341835,0.062140662],"genre_scores_gemma":[0.93024117,0.0011809488,0.025602516,0.00077746634,0.00033508355,0.00028641365,0.00039492658,0.00008787083,0.041093547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872845,0.0004804491,0.000045177658,0.00021253742,0.00028210468,0.00025133276],"domain_scores_gemma":[0.9965217,0.0022274582,0.0003614844,0.00011833805,0.00032443172,0.00044661976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001917822,0.0014913375,0.0025222446,0.0011645744,0.0011389051,0.0032619627,0.0021706035,0.0025783228,0.0071017933],"category_scores_gemma":[0.0054303156,0.00067723583,0.0010982367,0.0011425501,0.0030402523,0.0030731806,0.00216345,0.0025771225,0.00044311327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055907727,0.000051385294,0.00016691507,0.000050348903,0.00002733449,0.000078959165,0.00009341378,0.04800923,0.00054342655,0.94696456,0.0016735123,0.0022851243],"study_design_scores_gemma":[0.00006421469,0.000038713435,0.00017435549,0.0000151216,0.000009515905,0.00003526243,0.00003688813,0.42160854,0.000081008555,0.5770603,0.0008535114,0.0000224648],"about_ca_topic_score_codex":0.006915205,"about_ca_topic_score_gemma":0.0038522296,"teacher_disagreement_score":0.0071017933,"about_ca_system_score_codex":0.003098178,"about_ca_system_score_gemma":0.0021767395,"threshold_uncertainty_score":0.023757875},"labels":[],"label_agreement":null},{"id":"W4402508865","doi":"10.1016/j.automatica.2024.111895","title":"On vulnerability of Kalman filtering with holistic estimation performance loss","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Commission of Shanghai Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Kalman filter; Vulnerability (computing); Estimation; Moving horizon estimation; Control theory (sociology); Computer science; Extended Kalman filter; Engineering; Artificial intelligence; Computer security; Control (management); Systems engineering","score_opus":0.009841786107534984,"score_gpt":0.23858715932473493,"score_spread":0.22874537321719995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402508865","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14386716,0.001967159,0.8409001,0.0017855794,0.00017202982,0.000045808276,0.00023528516,0.0005697291,0.010457039],"genre_scores_gemma":[0.98704964,0.00076670037,0.008885136,0.00016028104,0.0001412037,0.00002951126,0.000106885,0.00012225313,0.0027384162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978263,0.0006188029,0.0000992199,0.0005080681,0.0005574564,0.00039017992],"domain_scores_gemma":[0.9805479,0.015264829,0.0013363985,0.0015042092,0.0010456329,0.0003010568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043745562,0.0012216311,0.001546005,0.001308645,0.0006875369,0.0013896908,0.0010186062,0.002010673,0.0023976362],"category_scores_gemma":[0.03249716,0.0007337365,0.0010838386,0.00090857066,0.0021825691,0.004893554,0.003936396,0.0019564228,0.00032048248],"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":[0.00049498194,0.00006678408,0.0076139844,0.0003282735,0.00028357463,0.00081968616,0.0004031698,0.7541412,0.0061250287,0.17013806,0.0027354327,0.056849916],"study_design_scores_gemma":[0.000009534347,0.00006728796,0.0017666843,0.000033286135,0.00005279478,0.00024469354,0.000048737355,0.92835176,0.0014634907,0.06752068,0.00041091177,0.000030019974],"about_ca_topic_score_codex":0.0027816722,"about_ca_topic_score_gemma":0.0008235352,"teacher_disagreement_score":0.0043745562,"about_ca_system_score_codex":0.0012629668,"about_ca_system_score_gemma":0.00080108334,"threshold_uncertainty_score":0.023135126},"labels":[],"label_agreement":null},{"id":"W4402738060","doi":"10.1016/j.automatica.2024.111933","title":"Further results on fixed-time control for nonlinear systems with asymmetric output constraints","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Nonlinear control; Mathematics; Control (management); Computer science; Physics","score_opus":0.010899486181902947,"score_gpt":0.22359762464449606,"score_spread":0.2126981384625931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402738060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020548569,0.003259393,0.88628566,0.0013055587,0.0012783414,0.0001257354,0.00020877896,0.00020090217,0.08678708],"genre_scores_gemma":[0.78554004,0.0070372685,0.1228835,0.002196565,0.0015512708,0.00043018736,0.0006945889,0.00040747115,0.07925909],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99944824,0.00012678419,0.000026811931,0.00014091762,0.00016290005,0.00009433462],"domain_scores_gemma":[0.99861705,0.0008035614,0.00008403457,0.00015462928,0.00025350286,0.0000873109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015449771,0.0025772036,0.0011434092,0.0011959192,0.0008579178,0.0013476516,0.0016482312,0.0016009575,0.017335035],"category_scores_gemma":[0.004205014,0.0003909516,0.0024291442,0.0011839162,0.0014916246,0.0031729906,0.0019492343,0.003296985,0.0011191608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004351444,0.0003163339,0.0004128708,0.0014197424,0.00023828977,0.0007645439,0.00059428427,0.2451032,0.020545842,0.5881113,0.009916827,0.1321417],"study_design_scores_gemma":[0.00006229533,0.0002739901,0.0006457807,0.00013836398,0.000088304914,0.00015381438,0.000111306625,0.5860148,0.0043091476,0.3959421,0.012189863,0.00007024066],"about_ca_topic_score_codex":0.003274842,"about_ca_topic_score_gemma":0.002660661,"teacher_disagreement_score":0.017335035,"about_ca_system_score_codex":0.0007928541,"about_ca_system_score_gemma":0.00072559394,"threshold_uncertainty_score":0.057991445},"labels":[],"label_agreement":null},{"id":"W4403450801","doi":"10.1016/j.automatica.2024.111985","title":"Time-extended consensus for multi-agent non-interactive collaboration","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"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 Toronto","funders":"","keywords":"Computer science; Multi-agent system; Distributed computing; Artificial intelligence","score_opus":0.018109268880266514,"score_gpt":0.3045253320873736,"score_spread":0.28641606320710705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403450801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022859536,0.00011500558,0.97281253,0.00014313057,0.00006748803,0.000058870108,0.0000316703,0.00017872633,0.0037330086],"genre_scores_gemma":[0.89953613,0.00019154995,0.089906216,0.000098257704,0.0000753623,0.00026233483,0.00012584683,0.00007611101,0.009728237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981129,0.00057525677,0.00010838586,0.0004551897,0.0004967392,0.00025152686],"domain_scores_gemma":[0.99636465,0.0017838049,0.00038733735,0.0004060004,0.0007297171,0.00032842532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019848298,0.00087521004,0.0015507553,0.00062421913,0.0011347813,0.0012550659,0.002078918,0.0014354666,0.0027900138],"category_scores_gemma":[0.006087064,0.00036168622,0.00093073235,0.00080010906,0.0014311199,0.0020993364,0.0034454013,0.0017294547,0.00043958158],"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":[0.00037357074,0.00010767398,0.0003818663,0.00018010789,0.00011452494,0.0004218478,0.000519703,0.7859311,0.0076024993,0.17025186,0.0015134783,0.03260173],"study_design_scores_gemma":[0.000025401187,0.000050109986,0.00006244716,0.000004822784,0.00001118139,0.000026495809,0.000028253691,0.9537688,0.0005834345,0.044908706,0.0005209034,0.000009530825],"about_ca_topic_score_codex":0.0026953057,"about_ca_topic_score_gemma":0.0019574286,"teacher_disagreement_score":0.0027900138,"about_ca_system_score_codex":0.0009974284,"about_ca_system_score_gemma":0.0013689187,"threshold_uncertainty_score":0.010496914},"labels":[],"label_agreement":null},{"id":"W4404954330","doi":"10.1016/j.automatica.2024.112021","title":"Distributed control of DC microgrids: A relaxed upper bound for constant power loads","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":14,"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 Alberta","funders":"","keywords":"Constant (computer programming); Control theory (sociology); Power (physics); Upper and lower bounds; Control (management); Mathematics; Computer science; Physics; Mathematical analysis; Thermodynamics","score_opus":0.003525780563016087,"score_gpt":0.19991253901655814,"score_spread":0.19638675845354206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404954330","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0133513175,0.0017208363,0.9565305,0.0008395132,0.0002490025,0.000063286134,0.00033371753,0.0002329496,0.026678799],"genre_scores_gemma":[0.92258877,0.0019704718,0.0621201,0.0005214831,0.00047736513,0.00024758672,0.00042586023,0.00031190773,0.011336525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99801093,0.000509603,0.00008651044,0.0004639944,0.00048578545,0.0004432324],"domain_scores_gemma":[0.9968755,0.0016584789,0.00016891454,0.0005350133,0.00060312863,0.00015904641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027423343,0.002050323,0.0022751887,0.00085343956,0.0008712465,0.0043220096,0.0028970013,0.0016622032,0.010898846],"category_scores_gemma":[0.007848801,0.000678973,0.0014504693,0.0013506847,0.0013501425,0.0033304272,0.0025263133,0.0037625548,0.0011627222],"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":[0.00033619316,0.000093068295,0.00024460346,0.000516653,0.00012576238,0.00015455236,0.00017053648,0.82707155,0.004093305,0.12674278,0.0062879366,0.034163103],"study_design_scores_gemma":[0.000016806194,0.000052040203,0.00009211024,0.000036534733,0.000020959855,0.000026652919,0.00002312503,0.97293764,0.0005646194,0.024773771,0.0014453069,0.000010387336],"about_ca_topic_score_codex":0.0039122025,"about_ca_topic_score_gemma":0.002644417,"teacher_disagreement_score":0.010898846,"about_ca_system_score_codex":0.0016048584,"about_ca_system_score_gemma":0.0012493327,"threshold_uncertainty_score":0.03646034},"labels":[],"label_agreement":null},{"id":"W4404976080","doi":"10.1016/j.automatica.2024.112005","title":"Generalized Lyapunov functionals for the input-to-state stability of infinite-dimensional systems","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Lyapunov equation; Lyapunov function; Stability (learning theory); Control theory (sociology); Applied mathematics; State (computer science); Lyapunov redesign; Mathematical analysis; Computer science; Nonlinear system; Control (management); Physics; Algorithm","score_opus":0.02593247377406418,"score_gpt":0.2496524454032899,"score_spread":0.22371997162922572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404976080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18117487,0.0024580841,0.798381,0.0009220835,0.00031410062,0.000067869514,0.00014972196,0.0002216458,0.016310742],"genre_scores_gemma":[0.9692304,0.0009840433,0.018974533,0.0001479657,0.00017387244,0.00011286626,0.00012042173,0.00008404419,0.010171841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996124,0.0001841908,0.000020878766,0.00003773769,0.00010697389,0.00003782737],"domain_scores_gemma":[0.99920434,0.00030950553,0.000108096,0.000052538686,0.00025610576,0.00006956304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123078,0.0012362354,0.00088418974,0.0011148672,0.00047934684,0.0011367985,0.00081887876,0.000757534,0.0018561834],"category_scores_gemma":[0.002111363,0.00022597755,0.0006965359,0.0005378349,0.0011550874,0.0014870075,0.0014240647,0.0011461874,0.00023547145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008567335,0.000043265285,0.0003168095,0.000177103,0.000098970835,0.00019672944,0.00029724214,0.20221682,0.011518474,0.7679199,0.001176406,0.015952567],"study_design_scores_gemma":[0.000012628619,0.00004524514,0.00024999696,0.000019564026,0.000012496867,0.00002666751,0.000042489406,0.8191612,0.00065336213,0.17888863,0.0008663133,0.000021395233],"about_ca_topic_score_codex":0.0016310565,"about_ca_topic_score_gemma":0.0014523655,"teacher_disagreement_score":0.0018561834,"about_ca_system_score_codex":0.001083834,"about_ca_system_score_gemma":0.0009408994,"threshold_uncertainty_score":0.00786382},"labels":[],"label_agreement":null},{"id":"W4406066985","doi":"10.1016/j.automatica.2024.112079","title":"Distributed state estimation for discrete-time uncertain linear systems over jointly connected switching networks","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Key Research and Development Program of China; China National Funds for Distinguished Young Scientists; Natural Science Foundation of Beijing Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"State (computer science); Discrete time and continuous time; Computer science; Estimation; Control theory (sociology); Linear system; Distributed computing; Mathematics; Control (management); Engineering; Algorithm; Artificial intelligence; Statistics","score_opus":0.005839109609738922,"score_gpt":0.23805446902293212,"score_spread":0.23221535941319318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406066985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07396496,0.00029624993,0.9239255,0.00021549086,0.00004305512,0.000033367236,0.00007163904,0.00018616856,0.0012636622],"genre_scores_gemma":[0.9885339,0.00012688813,0.010286205,0.000025099864,0.000029266152,0.000038384354,0.00008946035,0.000012681197,0.0008581493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912554,0.00024292839,0.000067746965,0.00024829115,0.00020744058,0.000108055734],"domain_scores_gemma":[0.9959705,0.0028548776,0.0005629613,0.00019469157,0.00035286412,0.00006407523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012395297,0.0008116118,0.001286765,0.00058798917,0.0004832874,0.0013048839,0.00085644645,0.0010048485,0.0010655462],"category_scores_gemma":[0.005928371,0.0006603776,0.0005864425,0.000780021,0.0011387082,0.0015494794,0.0010672549,0.0011303384,0.00012915641],"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":[0.00015616136,0.000024569867,0.00062819547,0.000049423343,0.000057822257,0.00003930052,0.000051221967,0.97855914,0.0009676367,0.0026358515,0.00015247754,0.016678147],"study_design_scores_gemma":[0.0000056206154,0.000011696642,0.00015683088,0.0000026116115,0.0000060052375,0.0000038354647,0.000004311465,0.99822026,0.00024471033,0.0012985857,0.00004258495,0.0000029294974],"about_ca_topic_score_codex":0.012164107,"about_ca_topic_score_gemma":0.0077594384,"teacher_disagreement_score":0.012164107,"about_ca_system_score_codex":0.0010922232,"about_ca_system_score_gemma":0.00092782284,"threshold_uncertainty_score":0.024186611},"labels":[],"label_agreement":null},{"id":"W4406067028","doi":"10.1016/j.automatica.2024.112090","title":"Fault diagnosability evaluation for interconnected large-scale cyber–physical systems","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"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 Victoria","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Japan Society for the Promotion of Science; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Cyber-physical system; Scale (ratio); Computer science; Distributed computing; Fault (geology); Reliability engineering; Computer security; Engineering; Operating system; Geology; Geography; Seismology","score_opus":0.008219536336249689,"score_gpt":0.27051450109999714,"score_spread":0.2622949647637475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406067028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62788755,0.00052588765,0.3665386,0.0003694306,0.000044627443,0.000087344044,0.00021717955,0.0005345524,0.003794919],"genre_scores_gemma":[0.9954567,0.000037091646,0.004194383,0.000008185595,0.0000062095755,0.000009737725,0.000056343793,0.000006588334,0.00022482817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942386,0.0001839684,0.000030266896,0.000095974225,0.00018812662,0.00007786608],"domain_scores_gemma":[0.9947674,0.0043216837,0.00034609213,0.00018935946,0.00028647535,0.00008892968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011093657,0.0006633028,0.00046456364,0.0010638848,0.0002534179,0.0006763187,0.00046505232,0.0005631593,0.0015887718],"category_scores_gemma":[0.0069933534,0.00015782645,0.00043720042,0.00038138224,0.00065248157,0.00085553626,0.0005578559,0.0005070519,0.00007156545],"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":[0.00029707636,0.0000793914,0.0040294696,0.0001232953,0.000073924326,0.00015670284,0.000055305907,0.9584354,0.0064911954,0.0035404798,0.00022117447,0.026496643],"study_design_scores_gemma":[0.000010604719,0.000074873315,0.0012324742,0.000004771596,0.000011208275,0.000028188942,0.000016790445,0.9941094,0.0017316975,0.0027190682,0.00005776328,0.000003214117],"about_ca_topic_score_codex":0.0032714617,"about_ca_topic_score_gemma":0.0024118195,"teacher_disagreement_score":0.0032714617,"about_ca_system_score_codex":0.00085767143,"about_ca_system_score_gemma":0.00069380645,"threshold_uncertainty_score":0.0065048337},"labels":[],"label_agreement":null},{"id":"W4406067032","doi":"10.1016/j.automatica.2024.112073","title":"Performance analysis for stochastic anomaly detectors with on/off-delay timers","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Commission of Shanghai Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Anomaly (physics); Anomaly detection; Detector; Computer science; Control theory (sociology); Real-time computing; Physics; Telecommunications; Artificial intelligence; Control (management)","score_opus":0.0042413080625025475,"score_gpt":0.20321469772940998,"score_spread":0.19897338966690742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406067032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1642221,0.00073764677,0.8314459,0.00041347856,0.000089260844,0.000057072695,0.00011644828,0.00085242203,0.0020656765],"genre_scores_gemma":[0.97725755,0.00013532222,0.02159286,0.00005061722,0.00005771039,0.000024761823,0.000084554566,0.000053086063,0.0007436269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960401,0.0011381101,0.00017628017,0.00070572604,0.001166185,0.0007734816],"domain_scores_gemma":[0.98003495,0.015057225,0.0012208198,0.0009880034,0.0023076616,0.00039134303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060648015,0.0012193832,0.0015045789,0.0011093487,0.00061910064,0.001993907,0.0016634484,0.0011849937,0.0013482319],"category_scores_gemma":[0.025563408,0.00048256078,0.00063207425,0.00084144046,0.0012604587,0.0014769272,0.0013966165,0.0013564405,0.0001963505],"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":[0.0009036361,0.00010188929,0.0037688655,0.00009627366,0.00013450824,0.00009330691,0.00007440338,0.93096364,0.0056338417,0.018045655,0.00064443256,0.039539658],"study_design_scores_gemma":[0.000006823059,0.00004914941,0.00028381965,0.0000029087491,0.000013261112,0.000027457543,0.000006459456,0.9968845,0.0009501149,0.0017139515,0.00005589508,0.000005663786],"about_ca_topic_score_codex":0.008300493,"about_ca_topic_score_gemma":0.0032066843,"teacher_disagreement_score":0.008300493,"about_ca_system_score_codex":0.0024253987,"about_ca_system_score_gemma":0.0028818867,"threshold_uncertainty_score":0.032074153},"labels":[],"label_agreement":null},{"id":"W4406855374","doi":"10.1016/j.automatica.2025.112138","title":"A high performance globally exponentially convergent sensorless observer for the IPMSM: Theoretical and experimental results","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":2,"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":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; Polytechnique Montréal","keywords":"Control theory (sociology); Observer (physics); Exponential growth; Computer science; Mathematics; Physics; Control (management); Mathematical analysis; Artificial intelligence","score_opus":0.005723604441334362,"score_gpt":0.21716635243249935,"score_spread":0.211442747991165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406855374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10711756,0.00035057135,0.8857488,0.00032628048,0.00010150123,0.00017346186,0.00004377796,0.0010635043,0.0050745364],"genre_scores_gemma":[0.88671196,0.0001789015,0.110467665,0.000068871974,0.000017937497,0.00015874997,0.00007531693,0.000040667222,0.0022798763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938273,0.00011923664,0.000033360964,0.000087675755,0.00033015513,0.000046894645],"domain_scores_gemma":[0.99870276,0.00038383802,0.00016495526,0.00019398297,0.00050244457,0.000051948213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016931994,0.0005375274,0.00066028134,0.00026652566,0.00027847267,0.00049695146,0.00068977225,0.0009913349,0.0013353068],"category_scores_gemma":[0.0024039312,0.0001775368,0.00021615563,0.00013799187,0.00086787227,0.00090044626,0.0005529425,0.00074600475,0.00040374164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010600421,0.00069528806,0.0021275673,0.001545792,0.00009276159,0.0005256419,0.001011751,0.20685078,0.49697566,0.022039866,0.0034682644,0.26360664],"study_design_scores_gemma":[0.00011081307,0.0017279547,0.0012244593,0.000036013356,0.00002458996,0.0001366512,0.000076324955,0.79275244,0.19536525,0.0019022464,0.006602081,0.000041211308],"about_ca_topic_score_codex":0.0006165451,"about_ca_topic_score_gemma":0.000394494,"teacher_disagreement_score":0.0016931994,"about_ca_system_score_codex":0.00037504293,"about_ca_system_score_gemma":0.00035561976,"threshold_uncertainty_score":0.008954644},"labels":[],"label_agreement":null},{"id":"W4407021093","doi":"10.1016/j.automatica.2025.112162","title":"Integrity attacks on state estimation with varying data access: From visibility to full restriction","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visibility; Estimation; State (computer science); Computer science; Computer security; Engineering; Algorithm; Geography; Systems engineering","score_opus":0.030108169468543538,"score_gpt":0.3172691492569253,"score_spread":0.28716097978838173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407021093","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16181518,0.0006862433,0.8254066,0.0031879465,0.00022048528,0.000088397,0.00020269948,0.0014384771,0.0069539878],"genre_scores_gemma":[0.9846843,0.00020245006,0.013637065,0.00018212417,0.00012293676,0.000025879302,0.00007030015,0.00012009696,0.0009549326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9872968,0.004096544,0.0008336145,0.0019243669,0.0036400058,0.0022086196],"domain_scores_gemma":[0.89630526,0.056757126,0.0059839184,0.035566162,0.0037395193,0.0016479648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008690405,0.0012340947,0.0021477013,0.0013106344,0.0012349525,0.003759996,0.0020576955,0.0024414107,0.0019283583],"category_scores_gemma":[0.079908624,0.0011718527,0.0012392817,0.0013888355,0.0062945737,0.012028921,0.011881392,0.0057954313,0.00045454767],"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":[0.0056819855,0.0005217329,0.012543812,0.00034940758,0.000497467,0.0018980536,0.0014095812,0.39290485,0.021917515,0.32463637,0.0060122088,0.23162703],"study_design_scores_gemma":[0.00007477338,0.00020790064,0.001449412,0.000048382037,0.000060536,0.00043643528,0.00011472124,0.82029986,0.008823373,0.1675228,0.0009045867,0.000057096768],"about_ca_topic_score_codex":0.0020839325,"about_ca_topic_score_gemma":0.00085620204,"teacher_disagreement_score":0.008690405,"about_ca_system_score_codex":0.0012766673,"about_ca_system_score_gemma":0.0021047625,"threshold_uncertainty_score":0.04595977},"labels":[],"label_agreement":null},{"id":"W4407056844","doi":"10.1016/j.automatica.2025.112154","title":"Boundary control and observer design via backstepping for a coupled parabolic–elliptic system","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":4,"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 Waterloo","funders":"","keywords":"Backstepping; Control theory (sociology); Observer (physics); Boundary (topology); Control engineering; Control (management); Computer science; Mathematics; Mathematical analysis; Engineering; Physics; Adaptive control; Artificial intelligence","score_opus":0.011310238470853436,"score_gpt":0.21965577215346005,"score_spread":0.2083455336826066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407056844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09056923,0.00021625095,0.9016617,0.0003487934,0.00014609222,0.000093604474,0.000035266192,0.00023358388,0.0066954824],"genre_scores_gemma":[0.97964203,0.000088695655,0.017024517,0.000058704758,0.000017886005,0.000108204964,0.000028057253,0.000012227697,0.0030197143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99979264,0.00004653237,0.000010939853,0.00006116646,0.00006248396,0.00002627317],"domain_scores_gemma":[0.9996177,0.00014980714,0.0000567069,0.000033232624,0.00011725395,0.000025297439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005463447,0.0006205113,0.00062283635,0.000261618,0.00045823643,0.00096396473,0.00061667524,0.0014209659,0.0017483201],"category_scores_gemma":[0.001062446,0.00039617767,0.000461014,0.00013894145,0.00079197704,0.00047498214,0.0012858411,0.0007724418,0.0001941613],"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":[0.0005490813,0.00015709973,0.0012391321,0.0003509142,0.00010216583,0.0004641619,0.00040848838,0.8696865,0.07680674,0.012362575,0.0008751806,0.03699801],"study_design_scores_gemma":[0.000026862468,0.000074108066,0.0001423895,0.00000633308,0.00000866447,0.000010911984,0.000011952009,0.996621,0.002072925,0.0007615127,0.0002566002,0.000006686859],"about_ca_topic_score_codex":0.0055267224,"about_ca_topic_score_gemma":0.0032511607,"teacher_disagreement_score":0.0055267224,"about_ca_system_score_codex":0.00037870323,"about_ca_system_score_gemma":0.0006733577,"threshold_uncertainty_score":0.01098913},"labels":[],"label_agreement":null},{"id":"W4407240373","doi":"10.1016/j.automatica.2025.112179","title":"Distributed fault-tolerant control of multi-UAV formation for dynamic leader tracking: A Lyapunov-based MPC framework","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Guelph","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Fault tolerance; Lyapunov function; Computer science; Control (management); Model predictive control; Tracking (education); Control engineering; Fault detection and isolation; Lyapunov stability; Distributed computing; Engineering; Nonlinear system; Artificial intelligence; Actuator; Psychology","score_opus":0.018801980689333784,"score_gpt":0.2920917937293816,"score_spread":0.2732898130400478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407240373","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023787405,0.00022461008,0.9722943,0.00014330489,0.000065136446,0.000021379987,0.000023683731,0.00017850356,0.0032617056],"genre_scores_gemma":[0.9756654,0.00010817771,0.022347752,0.000025957996,0.000030377738,0.00004322586,0.000026900227,0.000017711069,0.001734678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983406,0.000039781564,0.000006475127,0.000038006056,0.000056243338,0.000025393929],"domain_scores_gemma":[0.9997774,0.00007145631,0.000053831467,0.000020783551,0.000059727096,0.000016784785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003404532,0.0005722675,0.0005448052,0.00027692172,0.00039117213,0.00060008094,0.00086655555,0.000441218,0.001119567],"category_scores_gemma":[0.00076176925,0.00020166302,0.00037559916,0.00025454126,0.00041489792,0.0005150727,0.0007822094,0.0005414235,0.00015147477],"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":[0.000042464268,0.00002299158,0.00015840441,0.00003928693,0.000018691097,0.000053247193,0.000037274272,0.97404927,0.0027282462,0.0057079643,0.00031308518,0.016829023],"study_design_scores_gemma":[0.000003409391,0.000018180082,0.00003848837,0.0000013536088,0.0000022453182,0.0000037693992,0.0000028864351,0.9985964,0.00025418928,0.0009640785,0.00011391315,0.0000011809348],"about_ca_topic_score_codex":0.0039624735,"about_ca_topic_score_gemma":0.0028776503,"teacher_disagreement_score":0.0039624735,"about_ca_system_score_codex":0.000442636,"about_ca_system_score_gemma":0.000610569,"threshold_uncertainty_score":0.00787884},"labels":[],"label_agreement":null},{"id":"W4407424530","doi":"10.1016/j.automatica.2025.112193","title":"Physics-informed neural network Lyapunov functions: PDE characterization, learning, and verification","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":17,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lyapunov function; Artificial neural network; Characterization (materials science); Applied mathematics; Physics; Computer science; Artificial intelligence; Mathematics; Quantum mechanics; Optics; Nonlinear system","score_opus":0.007685554052186502,"score_gpt":0.25169097227062165,"score_spread":0.24400541821843513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407424530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022131918,0.00011421407,0.9731886,0.0002894347,0.000026132004,0.000042397543,0.00006630571,0.0001707533,0.0039702184],"genre_scores_gemma":[0.8446707,0.00023693437,0.15213245,0.00011292361,0.000026944743,0.00021237101,0.00015081852,0.00009885856,0.0023579695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966085,0.000103964216,0.000019829378,0.000056677178,0.00012872304,0.00002997395],"domain_scores_gemma":[0.99832326,0.0010161212,0.00017698205,0.0001918579,0.00025390775,0.00003781323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014748366,0.0008165171,0.00054235035,0.0004786699,0.00042183863,0.00085928326,0.0010690205,0.0009314477,0.0026865273],"category_scores_gemma":[0.007032217,0.000417167,0.00058032264,0.00029019377,0.0012135186,0.0015742591,0.0014162773,0.0018443028,0.00027378273],"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":[0.000015889646,0.000015641315,0.00039862667,0.000049162063,0.0000123859545,0.000046035602,0.000032848366,0.9285279,0.0019455752,0.060169432,0.00022673458,0.008559826],"study_design_scores_gemma":[0.0000012172164,0.0000038031362,0.000021003605,0.0000033501224,6.6140996e-7,0.0000032536586,0.0000018622142,0.9912725,0.00032591462,0.008290585,0.000074289186,0.0000014698082],"about_ca_topic_score_codex":0.0035520836,"about_ca_topic_score_gemma":0.003926058,"teacher_disagreement_score":0.0035520836,"about_ca_system_score_codex":0.0011895723,"about_ca_system_score_gemma":0.0016201115,"threshold_uncertainty_score":0.008987367},"labels":[],"label_agreement":null},{"id":"W4407987138","doi":"10.1016/j.automatica.2025.112215","title":"Flexible-step model predictive control based on generalized Lyapunov functions","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Lyapunov function; Control theory (sociology); Model predictive control; Lyapunov equation; Lyapunov redesign; Mathematics; Lyapunov exponent; Applied mathematics; Computer science; Control (management); Nonlinear system; Artificial intelligence; Physics; Chaotic","score_opus":0.005175212329196909,"score_gpt":0.21638832895172633,"score_spread":0.21121311662252942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407987138","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025276333,0.0005214812,0.9691947,0.00012091649,0.00016128976,0.000038395734,0.000040706298,0.0004404064,0.0042058052],"genre_scores_gemma":[0.95769703,0.00026231198,0.039205465,0.000043720454,0.000044150263,0.000090027024,0.000065541106,0.000044187163,0.0025475922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998313,0.000058497546,0.0000076079928,0.000026458496,0.000054492906,0.000021576969],"domain_scores_gemma":[0.99978906,0.00008344487,0.000025582403,0.00003206684,0.000057667003,0.00001209422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004378617,0.0007996259,0.00082527054,0.00036452644,0.00034903025,0.00074212375,0.00084323186,0.0005699839,0.001317491],"category_scores_gemma":[0.0008648632,0.00024007591,0.0004990601,0.00055227755,0.00048671468,0.0007203704,0.0007074215,0.000769253,0.00027923222],"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":[0.00011961251,0.00003227326,0.00017783417,0.00010635859,0.000061639985,0.000092417664,0.000054614167,0.90937775,0.0045560035,0.026637428,0.0009160394,0.05786803],"study_design_scores_gemma":[0.000006011801,0.0000314882,0.00006461736,0.000003604008,0.0000041538415,0.000006511494,0.000002068353,0.9961951,0.00029630022,0.0031512026,0.00023412782,0.0000048300694],"about_ca_topic_score_codex":0.0027026038,"about_ca_topic_score_gemma":0.0030193413,"teacher_disagreement_score":0.0027026038,"about_ca_system_score_codex":0.00030944182,"about_ca_system_score_gemma":0.00045182827,"threshold_uncertainty_score":0.0053737164},"labels":[],"label_agreement":null},{"id":"W4408071711","doi":"10.1016/j.automatica.2025.112221","title":"Emergent homeomorphic curves in swarms","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Mathematics","score_opus":0.004622300079402257,"score_gpt":0.24558523053105288,"score_spread":0.24096293045165063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408071711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6577007,0.0008934842,0.28166655,0.0020357794,0.00018853045,0.00013291113,0.00024985135,0.00050665473,0.05662548],"genre_scores_gemma":[0.9753553,0.00041829117,0.014368274,0.000094350566,0.00007600254,0.00008846763,0.00014634136,0.00014259206,0.009310313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996687,0.00012648327,0.000014050199,0.000049745726,0.000079466234,0.00006157199],"domain_scores_gemma":[0.99733055,0.0012015786,0.00042243156,0.00018193324,0.0003310069,0.00053248124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007192848,0.0006034393,0.0009530663,0.0019192795,0.0016237863,0.0024830122,0.0011019155,0.0016121792,0.005281033],"category_scores_gemma":[0.006928477,0.00045923848,0.0006754614,0.00064243167,0.0027500077,0.0024445946,0.002072337,0.0014427972,0.00057718356],"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":[0.00008625205,0.00005008446,0.0012098292,0.00009908509,0.00003988457,0.00037701882,0.00083429064,0.110072196,0.002202356,0.87187,0.0032042991,0.009954806],"study_design_scores_gemma":[0.000040483123,0.000045526165,0.000659818,0.000029091376,0.000007894695,0.00017793728,0.00031580424,0.3855437,0.00033641173,0.6097702,0.003050453,0.000022782726],"about_ca_topic_score_codex":0.002196675,"about_ca_topic_score_gemma":0.0010673174,"teacher_disagreement_score":0.005281033,"about_ca_system_score_codex":0.0016477047,"about_ca_system_score_gemma":0.00055699865,"threshold_uncertainty_score":0.017666817},"labels":[],"label_agreement":null},{"id":"W4408098347","doi":"10.1016/j.automatica.2025.112235","title":"Event-triggered learning-based control for output tracking with unknown cost functions","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":2,"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 Victoria","funders":"National Natural Science Foundation of China; Japan Society for the Promotion of Science London","keywords":"Control theory (sociology); Control (management); Event (particle physics); Computer science; Tracking (education); Control engineering; Artificial intelligence; Engineering; Psychology; Physics","score_opus":0.007586072589444045,"score_gpt":0.22484467154630514,"score_spread":0.2172585989568611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408098347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024751825,0.00017284008,0.9727923,0.00007372842,0.00006712409,0.000026635116,0.000021595297,0.00022486103,0.0018691018],"genre_scores_gemma":[0.97474515,0.00008630847,0.023117244,0.00005280436,0.000023312099,0.00004507895,0.00003062845,0.000028080203,0.0018713942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967027,0.00008485626,0.000019751991,0.000084572865,0.00009556465,0.000044927874],"domain_scores_gemma":[0.9994179,0.00032550248,0.000091421454,0.000036768062,0.00010487281,0.000023679147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078239915,0.00060237624,0.0006795012,0.00023259189,0.00027397336,0.0006781591,0.0008142534,0.0006870981,0.001834328],"category_scores_gemma":[0.0018519494,0.00020659358,0.00034932184,0.00028576222,0.0005384848,0.0005405608,0.0008070616,0.00083083916,0.00018891937],"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":[0.00066321564,0.00017117038,0.0004935467,0.0002765675,0.00007484323,0.00019529826,0.00014706414,0.825163,0.019977435,0.029902296,0.0016961594,0.1212394],"study_design_scores_gemma":[0.000008946016,0.000037908165,0.00008817074,0.0000036889544,0.000003458624,0.000011020359,0.0000018422946,0.9970933,0.0010655788,0.0015232075,0.00015918526,0.0000036311426],"about_ca_topic_score_codex":0.0015925856,"about_ca_topic_score_gemma":0.0013766978,"teacher_disagreement_score":0.001834328,"about_ca_system_score_codex":0.00046130168,"about_ca_system_score_gemma":0.00042465382,"threshold_uncertainty_score":0.006136477},"labels":[],"label_agreement":null},{"id":"W4408595065","doi":"10.1016/j.automatica.2025.112254","title":"Extremum seeking nonlinear regulator with concurrent uncertainties in exosystems and control directions","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Fonds De La Recherche Scientifique - FNRS; Institut national de la recherche scientifique","keywords":"Regulator; Control theory (sociology); Nonlinear system; Control (management); Control engineering; Computer science; Engineering; Chemistry; Physics; Artificial intelligence","score_opus":0.0036526244714713356,"score_gpt":0.19865660277075867,"score_spread":0.19500397829928734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408595065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06037643,0.00084545475,0.9232724,0.00041691726,0.00018458215,0.000037376856,0.000024346788,0.00008868621,0.014753827],"genre_scores_gemma":[0.94673043,0.0005032119,0.044041328,0.000093885574,0.00009177932,0.00006633845,0.000020976333,0.000023498114,0.008428517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996507,0.00012849754,0.000015772137,0.00007322267,0.000099902434,0.00003197669],"domain_scores_gemma":[0.9992867,0.0003467264,0.00011671316,0.000043396492,0.00016767984,0.000038690214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010944653,0.00072155177,0.0006121682,0.00036621722,0.00046797036,0.0012641702,0.00083046005,0.0010213996,0.0017845376],"category_scores_gemma":[0.0027160186,0.0003795215,0.00051541283,0.0003761689,0.00097246334,0.0012644256,0.0013089355,0.0012152217,0.00015201548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036488374,0.00010814041,0.000781621,0.00031150808,0.000091023765,0.00042299737,0.00031499285,0.42506352,0.020256542,0.5022728,0.0014871414,0.048524812],"study_design_scores_gemma":[0.000020064903,0.00012225368,0.00019368512,0.000018064897,0.000015218468,0.0000605337,0.000034983706,0.9375314,0.0014452202,0.059626784,0.0009133359,0.000018537086],"about_ca_topic_score_codex":0.0010617373,"about_ca_topic_score_gemma":0.0011127611,"teacher_disagreement_score":0.0017845376,"about_ca_system_score_codex":0.0005374623,"about_ca_system_score_gemma":0.00054100255,"threshold_uncertainty_score":0.005969882},"labels":[],"label_agreement":null},{"id":"W4409200114","doi":"10.1016/j.automatica.2025.112290","title":"Algorithms enhancement for optimal triggering control in logical dynamic systems: Leveraging data structure storage","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"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 Alberta","funders":"Innovation and Technology Commission; National Natural Science Foundation of China","keywords":"Computer science; Control (management); Algorithm; Artificial intelligence","score_opus":0.019753706924003616,"score_gpt":0.2931144804648437,"score_spread":0.27336077354084004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409200114","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03328884,0.00021190498,0.9631895,0.00017181647,0.00006900534,0.000040510906,0.00002855601,0.0005656229,0.0024342013],"genre_scores_gemma":[0.8182513,0.00016230941,0.17966643,0.0000994252,0.000041064635,0.00007995281,0.000066104556,0.00010574465,0.0015276065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995671,0.00009312297,0.00003568286,0.00009797251,0.00013420942,0.00007195601],"domain_scores_gemma":[0.99897873,0.00044389456,0.00007840347,0.00023725638,0.00021301299,0.00004867908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007495068,0.0005268325,0.00067907263,0.0005069255,0.0005083832,0.0012452768,0.0010002352,0.00064173527,0.0027084295],"category_scores_gemma":[0.0029933196,0.00026716472,0.00040432054,0.0004726672,0.0005539202,0.001384606,0.0011058631,0.0009184097,0.0003227985],"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":[0.0003264551,0.00018880442,0.0012310608,0.00011516458,0.00005284373,0.000114850125,0.00014997218,0.6854799,0.020281255,0.044927195,0.0018048545,0.24532762],"study_design_scores_gemma":[0.000008470363,0.000022219303,0.000057213383,0.0000030919734,0.0000059038116,0.00001280858,0.0000067341457,0.9925113,0.0017372353,0.005255586,0.00037614588,0.0000032893713],"about_ca_topic_score_codex":0.0020934518,"about_ca_topic_score_gemma":0.0023456295,"teacher_disagreement_score":0.0027084295,"about_ca_system_score_codex":0.0004919021,"about_ca_system_score_gemma":0.0014485264,"threshold_uncertainty_score":0.009060621},"labels":[],"label_agreement":null},{"id":"W4409289916","doi":"10.1016/j.automatica.2025.112286","title":"Compressed gradient tracking algorithms for distributed nonconvex optimization","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":4,"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 Victoria","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Australian Research Council; Science and Technology Commission of Shanghai Municipality; Knut och Alice Wallenbergs Stiftelse; National University's Basic Research Foundation of China; National Natural Science Foundation of China; Vetenskapsrådet; Japan Society for the Promotion of Science; Stiftelsen för Strategisk Forskning","keywords":"Algorithm; Tracking (education); Compressed sensing; Computer science; Mathematical optimization; Optimization algorithm; Mathematics","score_opus":0.021443967923992367,"score_gpt":0.2817025295125486,"score_spread":0.2602585615885562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409289916","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053498815,0.00020749845,0.9922389,0.00024151524,0.0000816919,0.000035633726,0.00004623342,0.00026977912,0.0015289066],"genre_scores_gemma":[0.43422067,0.00059301907,0.5526733,0.00042646448,0.00033161184,0.0004558454,0.0006694997,0.00045209206,0.01017747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993154,0.00020153483,0.000031003045,0.00011449493,0.00027729967,0.00006028047],"domain_scores_gemma":[0.9969765,0.0018530198,0.00019366835,0.00037132425,0.00049914035,0.00010624707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015210776,0.0010540521,0.0013514986,0.0008428808,0.0006540044,0.0010314392,0.0016209439,0.0017124017,0.0041710543],"category_scores_gemma":[0.008726319,0.0007366286,0.0004721826,0.0014261691,0.0014241488,0.002413106,0.002449728,0.0025062726,0.00068073825],"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":[0.00021507435,0.00010249489,0.00026012535,0.00011241091,0.000041037012,0.00005101161,0.00008576927,0.83755606,0.0016733995,0.04552678,0.004657413,0.109718546],"study_design_scores_gemma":[0.000016831933,0.0000129535065,0.00002623229,0.0000039751158,0.000002018691,0.0000063847046,0.0000038489584,0.9888614,0.0002623378,0.010395663,0.00040529715,0.0000030572273],"about_ca_topic_score_codex":0.008124516,"about_ca_topic_score_gemma":0.007855083,"teacher_disagreement_score":0.008124516,"about_ca_system_score_codex":0.0011838356,"about_ca_system_score_gemma":0.0019127376,"threshold_uncertainty_score":0.016154468},"labels":[],"label_agreement":null},{"id":"W4410832690","doi":"10.1016/j.automatica.2025.112387","title":"False Noise Attack Detection for differentially-private distributed control of microgrids","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; Clinical Special Fund of Jiangsu Province; Shenzhen Science and Technology Innovation Program; Compute Canada","keywords":"Noise (video); Control (management); Computer science; Control theory (sociology); Computer security; Artificial intelligence","score_opus":0.005575079578411376,"score_gpt":0.2264718661736664,"score_spread":0.22089678659525502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410832690","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1024269,0.00026556166,0.89466316,0.00038076934,0.000100337296,0.000030697574,0.000077882665,0.0005153937,0.0015393198],"genre_scores_gemma":[0.9828628,0.00004438173,0.016259992,0.00005285395,0.000027685235,0.000012691723,0.0000395874,0.000015216277,0.00068489474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764794,0.00068378967,0.00009250363,0.00047743085,0.0007118008,0.00038654773],"domain_scores_gemma":[0.99361247,0.004150173,0.0004864124,0.00089057954,0.0006905619,0.00016977194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002478566,0.00072209246,0.0011410796,0.00045392587,0.0005955336,0.001306126,0.0009883337,0.0011361344,0.0010563311],"category_scores_gemma":[0.014792738,0.000350541,0.00035477156,0.00039752468,0.0012472663,0.001593916,0.0019171825,0.001253175,0.00024177322],"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":[0.0042524883,0.00021216358,0.0056276494,0.0002443834,0.00018861135,0.0005091657,0.0003923109,0.681929,0.034350276,0.07004867,0.0030426744,0.19920267],"study_design_scores_gemma":[0.000019396784,0.00009841213,0.00034911546,0.00000730094,0.000010764795,0.000064829626,0.000016738844,0.9846294,0.0050683985,0.00951373,0.0002124796,0.000009410485],"about_ca_topic_score_codex":0.0010450368,"about_ca_topic_score_gemma":0.0008666814,"teacher_disagreement_score":0.002478566,"about_ca_system_score_codex":0.0009822939,"about_ca_system_score_gemma":0.0009800919,"threshold_uncertainty_score":0.013108075},"labels":[],"label_agreement":null},{"id":"W4411255100","doi":"10.1016/j.automatica.2025.112434","title":"Robust MPC with event-triggered learning for unknown linear time-varying systems","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Linear system; Computer science; Event (particle physics); Mathematics; Artificial intelligence; Control (management); Physics","score_opus":0.006953914180152483,"score_gpt":0.2137063889036541,"score_spread":0.2067524747235016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411255100","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01847128,0.00022969393,0.9791784,0.000067476525,0.000028526545,0.000031188974,0.00002549141,0.0003466311,0.0016212747],"genre_scores_gemma":[0.96107835,0.00015461886,0.037324373,0.000038315477,0.000022932452,0.00007313729,0.00005839115,0.00002674382,0.0012231091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945,0.00013919009,0.000030255076,0.0001410612,0.00016949087,0.0000698682],"domain_scores_gemma":[0.9993548,0.0003098711,0.00014879863,0.000084176405,0.00008088391,0.000021532282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008932034,0.0008482517,0.0007035868,0.00023294744,0.00026898962,0.00070693664,0.0009748385,0.0007325222,0.0012246812],"category_scores_gemma":[0.0016676848,0.00023795225,0.00055120495,0.00036457807,0.00061548623,0.00069170166,0.00093121047,0.0010840095,0.00015261647],"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":[0.000065912944,0.000031393363,0.00010580004,0.00006264931,0.000016751927,0.000068411406,0.000028287042,0.9738313,0.0029461049,0.0045230426,0.00017020835,0.018150197],"study_design_scores_gemma":[0.000004640803,0.00003036681,0.000050445273,0.0000016946487,0.0000021252556,0.0000061274436,0.0000016841282,0.9981377,0.00083235576,0.00076863065,0.00016200752,0.000002228887],"about_ca_topic_score_codex":0.0025457442,"about_ca_topic_score_gemma":0.0014232987,"teacher_disagreement_score":0.0025457442,"about_ca_system_score_codex":0.00047054017,"about_ca_system_score_gemma":0.00054218416,"threshold_uncertainty_score":0.0050619245},"labels":[],"label_agreement":null},{"id":"W4411673408","doi":"10.1016/j.automatica.2025.112463","title":"Optimal stochastic event-triggered attack on remote state estimation","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"State (computer science); Event (particle physics); Computer science; Estimation; Control theory (sociology); Algorithm; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.009707711804800087,"score_gpt":0.2669530865644664,"score_spread":0.25724537475966636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411673408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067477725,0.00014582525,0.92964756,0.00030692367,0.00007640699,0.000033890334,0.00006907953,0.0002498884,0.0019927062],"genre_scores_gemma":[0.9783416,0.00006336684,0.01977796,0.000048937247,0.000044011173,0.000029916197,0.000085227046,0.000022710907,0.0015863677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871814,0.00045202085,0.000053818865,0.00031646944,0.00025048453,0.0002090784],"domain_scores_gemma":[0.99607253,0.0029698699,0.00025296066,0.00023344488,0.00033464798,0.00013658208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001899974,0.0009935327,0.0014645262,0.0003746413,0.0003892794,0.00092276244,0.0008462628,0.0011419544,0.0022352736],"category_scores_gemma":[0.007509099,0.00052915356,0.0006114003,0.0004128009,0.0012002965,0.0015603855,0.0021568523,0.0016319039,0.00021597701],"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":[0.00039830816,0.00004145653,0.00046342303,0.000038247825,0.000040817933,0.00005901401,0.000026194852,0.971723,0.0016877213,0.010134661,0.00041407716,0.014972974],"study_design_scores_gemma":[0.0000048600436,0.000011139837,0.000065128945,0.0000012926325,0.0000024252836,0.000004211785,0.0000016010332,0.9984397,0.00020529793,0.001239453,0.00002292566,0.0000019186307],"about_ca_topic_score_codex":0.0042238147,"about_ca_topic_score_gemma":0.002991516,"teacher_disagreement_score":0.0042238147,"about_ca_system_score_codex":0.00081339915,"about_ca_system_score_gemma":0.001323294,"threshold_uncertainty_score":0.010048151},"labels":[],"label_agreement":null},{"id":"W4412910125","doi":"10.1016/j.automatica.2025.112493","title":"Authors’ reply to ‘Comment on “Saturated adaptive pose tracking control of spacecraft on SE(3) under attitude constraints and obstacle-avoidance constraints” [Automatica 159 (2024) 111367]’","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"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 Toronto","funders":"","keywords":"Control theory (sociology); Spacecraft; Obstacle avoidance; Tracking (education); Control (management); Obstacle; Computer science; Attitude control; Artificial intelligence; Control engineering; Engineering; Psychology; Aerospace engineering; Political science; Law; Mobile robot","score_opus":0.013485568562695482,"score_gpt":0.25317550586793813,"score_spread":0.23968993730524266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412910125","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002576992,0.000827296,0.00051016366,0.9300977,0.066956855,0.000012371283,0.00013216905,0.00009567153,0.0011099948],"genre_scores_gemma":[0.0028662903,0.0003788457,0.0002331569,0.96448386,0.02899529,0.000045106386,0.00003325679,0.00004524679,0.0029188897],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9916693,0.001314697,0.0014076534,0.0016789888,0.002531583,0.0013978423],"domain_scores_gemma":[0.9763297,0.011304644,0.002685024,0.00086568063,0.0075509287,0.0012640397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008360774,0.0017014091,0.0021586283,0.001402728,0.006317147,0.0057150503,0.0046036094,0.069479026,0.009652761],"category_scores_gemma":[0.059999432,0.0018692726,0.00267661,0.0013911799,0.005520365,0.004821343,0.0034617567,0.049725365,0.008897001],"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":[0.000063970234,0.0000121561525,0.00023872346,0.000095344374,0.000030031899,0.0002177656,0.0002906704,0.00016180743,0.0001577822,0.001758868,0.9948933,0.0020795972],"study_design_scores_gemma":[0.00017860108,0.00007377687,0.0034461492,0.0003910531,0.00011803877,0.0003727702,0.0009543117,0.0009866793,0.00083470804,0.007284489,0.98513144,0.00022797311],"about_ca_topic_score_codex":0.030765684,"about_ca_topic_score_gemma":0.03116639,"teacher_disagreement_score":0.069479026,"about_ca_system_score_codex":0.005202708,"about_ca_system_score_gemma":0.005772234,"threshold_uncertainty_score":0.0611732},"labels":[],"label_agreement":null},{"id":"W4413143600","doi":"10.1016/j.automatica.2025.112499","title":"Distributed mirror descent for online bandit saddle point problem","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"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 Victoria","funders":"National Natural Science Foundation of China","keywords":"Saddle point; Descent (aeronautics); Saddle; Computer science; Mathematical optimization; Point (geometry); Mathematics; Control theory (sociology); Distributed computing; Artificial intelligence; Engineering; Geometry; Control (management); Aerospace engineering","score_opus":0.10802154007385688,"score_gpt":0.46627725848189344,"score_spread":0.35825571840803655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413143600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020124698,0.00029746373,0.9755225,0.000605398,0.00008450239,0.00004913137,0.00006608814,0.00019560833,0.0030546945],"genre_scores_gemma":[0.77908397,0.00062772987,0.20128727,0.00049306906,0.00024813836,0.0005286313,0.0003733514,0.00039311452,0.016964702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913496,0.0003961242,0.00003761255,0.00015418336,0.00016969714,0.00010739708],"domain_scores_gemma":[0.99392915,0.0046410025,0.00034712907,0.00035362213,0.00048503143,0.00024397603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026748537,0.0014459381,0.002394651,0.00075473427,0.0008784839,0.002097572,0.0019315354,0.0028053108,0.0052812537],"category_scores_gemma":[0.013795721,0.0010043781,0.00083036156,0.0007512745,0.0018174846,0.0023507334,0.0026173561,0.0027297358,0.0008583046],"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":[0.00037207638,0.00022866717,0.0008959839,0.00030708264,0.000120276054,0.00019783665,0.00014197713,0.7976206,0.0025831312,0.14240694,0.0064246138,0.048700772],"study_design_scores_gemma":[0.000015221026,0.000018401817,0.00003828785,0.0000061025917,0.0000048272987,0.000008773195,0.000005923838,0.97781914,0.00013323344,0.021811694,0.00013445652,0.000003893401],"about_ca_topic_score_codex":0.0037673032,"about_ca_topic_score_gemma":0.0035138654,"teacher_disagreement_score":0.0052812537,"about_ca_system_score_codex":0.0011966588,"about_ca_system_score_gemma":0.0021730205,"threshold_uncertainty_score":0.017667532},"labels":[],"label_agreement":null},{"id":"W4413474661","doi":"10.1016/j.automatica.2025.112535","title":"Consensus control for two-time-scale multi-agent systems under DoS attacks: An asynchronous sampling framework","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"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 Victoria","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Asynchronous communication; Scale (ratio); Computer science; Sampling (signal processing); Distributed computing; Multi-agent system; Control (management); Artificial intelligence; Computer network; Telecommunications; Geography","score_opus":0.027459158250430715,"score_gpt":0.3202344270724543,"score_spread":0.2927752688220236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413474661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028022826,0.00012537293,0.96942073,0.00017900295,0.000042539028,0.00003647763,0.000020382091,0.00009016702,0.0020624667],"genre_scores_gemma":[0.97580963,0.000136074,0.022122333,0.00004512422,0.00005846239,0.00007945025,0.00002718821,0.000025909447,0.0016957504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992531,0.0002724436,0.000035820933,0.00016000851,0.0001857771,0.000092717164],"domain_scores_gemma":[0.9978033,0.0013210431,0.000309921,0.0001261399,0.00031583986,0.00012379666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020152847,0.0007735404,0.0010039093,0.00048795665,0.0005044436,0.0011633886,0.0013828172,0.00085278,0.0011107298],"category_scores_gemma":[0.00457933,0.0003446793,0.00067335286,0.0004069628,0.0014165167,0.0012478812,0.001579403,0.0010919867,0.00010132309],"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":[0.00013597656,0.00004744883,0.00040417252,0.0000656606,0.000045812787,0.00009082948,0.0001061895,0.9402794,0.002253003,0.04589586,0.00030057845,0.010375052],"study_design_scores_gemma":[0.0000050829267,0.000009578781,0.000032437558,9.172327e-7,0.000002751033,0.0000023388027,0.0000034870366,0.9969477,0.00006570815,0.0028946802,0.000033890006,0.0000014270402],"about_ca_topic_score_codex":0.004487032,"about_ca_topic_score_gemma":0.0027839802,"teacher_disagreement_score":0.004487032,"about_ca_system_score_codex":0.0009785304,"about_ca_system_score_gemma":0.0009475522,"threshold_uncertainty_score":0.0106579065},"labels":[],"label_agreement":null},{"id":"W4414910353","doi":"10.1016/j.automatica.2025.112639","title":"A conditional invertible neural network-based particle filter","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Shanghai Academy of Spaceflight Technology","keywords":"Particle filter; Invertible matrix; Artificial neural network; Computation; Particle (ecology); Filter (signal processing); Conditional probability distribution; Key (lock)","score_opus":0.013811765648435165,"score_gpt":0.24924601409165564,"score_spread":0.23543424844322047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414910353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001974747,0.00011699564,0.99650854,0.000068562535,0.00009153715,0.000013336312,0.000026337844,0.0003875574,0.0008123485],"genre_scores_gemma":[0.2573441,0.000426994,0.7300272,0.00032050844,0.0002422081,0.00014408017,0.00039120106,0.0001661381,0.010937579],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994398,0.000083298386,0.000028133763,0.00017128793,0.00022444093,0.00005304674],"domain_scores_gemma":[0.9993393,0.00025233475,0.000042830743,0.00007862281,0.00025614057,0.000030776657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090888405,0.00049258996,0.0008612207,0.00043142974,0.00042697013,0.00073840114,0.0013949317,0.0013279432,0.0034191178],"category_scores_gemma":[0.0022470423,0.00039532222,0.00057168823,0.000739115,0.0005300109,0.0009391525,0.0011645672,0.0014890189,0.0011970191],"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":[0.0002782803,0.00014709643,0.0010005916,0.00017706452,0.000128923,0.000101532416,0.000086715176,0.35393295,0.019289851,0.028147466,0.0065046926,0.5902048],"study_design_scores_gemma":[0.000009973761,0.000018367818,0.0001469139,0.0000040808322,0.000011082913,0.000023647133,0.0000020470868,0.99592257,0.0015412288,0.0013521577,0.0009607153,0.0000072512576],"about_ca_topic_score_codex":0.009844551,"about_ca_topic_score_gemma":0.008631218,"teacher_disagreement_score":0.009844551,"about_ca_system_score_codex":0.0005207597,"about_ca_system_score_gemma":0.0014105728,"threshold_uncertainty_score":0.019574463},"labels":[],"label_agreement":null},{"id":"W4415183496","doi":"10.1016/j.automatica.2025.112643","title":"On linear quadratic potential games","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Nash equilibrium; Potential game; Action (physics); Class (philosophy); Convergence (economics); Quadratic equation; Best response; Set (abstract data type)","score_opus":0.03962225223216166,"score_gpt":0.4028065365741275,"score_spread":0.36318428434196587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415183496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063585944,0.00092939584,0.8673157,0.0017896004,0.0000994864,0.00017949152,0.0003375569,0.000091544774,0.0656713],"genre_scores_gemma":[0.9390576,0.0008207584,0.046859775,0.0005522674,0.00022114844,0.00036905328,0.0003176345,0.00006733348,0.01173443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99737835,0.0013305136,0.00011420709,0.00034172242,0.0004985307,0.00033661837],"domain_scores_gemma":[0.9923097,0.0057493984,0.00048512258,0.00023990349,0.00077224895,0.000443703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002468899,0.0010857225,0.0010373303,0.0009450661,0.0008178237,0.0019859616,0.0013124545,0.0015196544,0.007633258],"category_scores_gemma":[0.013186748,0.0004356075,0.00093292975,0.0008565366,0.002888735,0.004388645,0.0024538916,0.0020070195,0.0007362622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023669192,0.000025473282,0.00025098823,0.00007755946,0.000013320995,0.0001316935,0.00012799473,0.046582725,0.00076256954,0.9472728,0.0010559148,0.0036753188],"study_design_scores_gemma":[0.000018306355,0.00003363078,0.00012744132,0.000024968875,0.000003834089,0.00007968247,0.00007200496,0.22988933,0.00014006118,0.76782787,0.0017693687,0.000013455421],"about_ca_topic_score_codex":0.002013997,"about_ca_topic_score_gemma":0.0011404211,"teacher_disagreement_score":0.007633258,"about_ca_system_score_codex":0.0015978257,"about_ca_system_score_gemma":0.0010388275,"threshold_uncertainty_score":0.025535822},"labels":[],"label_agreement":null},{"id":"W4416219098","doi":"10.1016/j.automatica.2025.112685","title":"Integrity attacks on multi-level secured channels: A structured fusion approach","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fusion; Sensor fusion; Key (lock); Cryptography; Data integrity","score_opus":0.04598907361626403,"score_gpt":0.2997079245115547,"score_spread":0.25371885089529067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416219098","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068220543,0.000100425365,0.9914603,0.00015543612,0.00002217299,0.000026203168,0.000024567802,0.00012770692,0.0012610642],"genre_scores_gemma":[0.7302838,0.0006101204,0.2644403,0.00028797326,0.0002067063,0.00011403155,0.00015740495,0.00011653706,0.0037831035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99636036,0.0010859597,0.0001637385,0.0004484399,0.0014331805,0.00050831796],"domain_scores_gemma":[0.9951853,0.0019928452,0.00055378117,0.0014838584,0.0006387058,0.00014547042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029805978,0.0010677497,0.001489992,0.0012891404,0.00088275346,0.0022244186,0.0013284101,0.0018297622,0.0020530985],"category_scores_gemma":[0.005848455,0.0006673173,0.0016435237,0.001060938,0.0022462865,0.0049748006,0.004644532,0.0028934798,0.0005828381],"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":[0.0005804615,0.00018556627,0.001043492,0.00018723843,0.00027662574,0.00046481844,0.00038818282,0.4952037,0.042528357,0.322487,0.0023809841,0.13427354],"study_design_scores_gemma":[0.00001182584,0.00007359002,0.00017271741,0.00001664122,0.00003302877,0.00009338435,0.000038556107,0.8996134,0.005611914,0.093512535,0.0008006539,0.000021868773],"about_ca_topic_score_codex":0.00061603205,"about_ca_topic_score_gemma":0.0005205463,"teacher_disagreement_score":0.0029805978,"about_ca_system_score_codex":0.0008843299,"about_ca_system_score_gemma":0.0010295601,"threshold_uncertainty_score":0.015763104},"labels":[],"label_agreement":null},{"id":"W4416571715","doi":"10.1016/j.automatica.2025.112700","title":"Composite anti-disturbance control with disturbance prediction and utilization: A tube MPC approach","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"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 Victoria","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Control theory (sociology); Composite number; Disturbance (geology); Model predictive control; Tube (container); Stability (learning theory)","score_opus":0.004971658328703475,"score_gpt":0.1951766595424498,"score_spread":0.19020500121374634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416571715","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015955681,0.00015544791,0.9799305,0.000082623446,0.00005045654,0.000019100144,0.000025568277,0.00030306246,0.0034775324],"genre_scores_gemma":[0.89202845,0.000216708,0.101862736,0.000068566136,0.000085726715,0.00009736239,0.00006918851,0.00008973268,0.005481544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997273,0.000068507994,0.000011109254,0.00005753391,0.0000973266,0.000038242968],"domain_scores_gemma":[0.99967504,0.000120844554,0.000049784954,0.000039749568,0.00009138848,0.00002311886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042764714,0.0008968269,0.001053353,0.00048158795,0.00041669345,0.00083408464,0.0011077815,0.0010325582,0.0024814068],"category_scores_gemma":[0.0007752233,0.00043606706,0.0006031782,0.0004915939,0.00067729235,0.00092988845,0.0010248238,0.0008101275,0.00033562983],"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":[0.00015382483,0.00006119225,0.00023210158,0.00007461467,0.000041372536,0.000076301905,0.000031601856,0.94917536,0.005448677,0.008820966,0.0005381275,0.035345767],"study_design_scores_gemma":[0.00000222792,0.000024499936,0.000034185523,0.0000015326164,0.0000027493672,0.0000035922685,0.0000010541296,0.9988776,0.00036267034,0.0005744114,0.00011347232,0.0000020051823],"about_ca_topic_score_codex":0.0024604918,"about_ca_topic_score_gemma":0.0017290341,"teacher_disagreement_score":0.0024814068,"about_ca_system_score_codex":0.00034580828,"about_ca_system_score_gemma":0.0005432721,"threshold_uncertainty_score":0.008301139},"labels":[],"label_agreement":null},{"id":"W7091283671","doi":"10.1016/j.automatica.2025.112655","title":"EF21-RR: Fast <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" id=\"d1e437\" altimg=\"si9.svg\"> <mml:mrow> <mml:mi mathvariant=\"script\">O</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mn>1</mml:mn> <mml:mo>/</mml:mo> <mml:mi>T</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> rate for non-convex federated optimization with error feedback","year":2025,"lang":"lv","type":"article","venue":"Automatica","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"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 Victoria","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Control theory (sociology); Control (management); Minification; Output feedback; Scheme (mathematics); Feedback control","score_opus":0.015211168880792474,"score_gpt":0.2411077985792404,"score_spread":0.22589662969844793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7091283671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029514993,0.00033156396,0.6001756,0.0018376495,0.0010305739,0.00022612464,0.039205246,0.22842099,0.1258207],"genre_scores_gemma":[0.07114521,0.00065957266,0.42851105,0.0012087007,0.0004983575,0.0008487629,0.09064667,0.11586295,0.2906187],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905986,0.00013411508,0.00006933509,0.00018406528,0.0004225062,0.0001300586],"domain_scores_gemma":[0.99792635,0.0006443673,0.00008821191,0.00051675463,0.0006964472,0.00012778235],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001748564,0.0016167777,0.0009665802,0.0013364798,0.0005826448,0.0028836534,0.002343838,0.0018902492,0.35122356],"category_scores_gemma":[0.007123843,0.00068343885,0.00085388817,0.0014143122,0.0005182894,0.0025197554,0.0019368449,0.001814868,0.26057014],"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":[0.00032012723,0.00008521171,0.0003253379,0.00034185467,0.000029603863,0.000093413044,0.000062216655,0.0076934216,0.0034311821,0.030993568,0.82735085,0.12927319],"study_design_scores_gemma":[0.00038628408,0.0000765516,0.0008881712,0.00015033096,0.00002164193,0.00027913053,0.000051107843,0.15420614,0.034889754,0.040980846,0.76798403,0.00008604252],"about_ca_topic_score_codex":0.004554507,"about_ca_topic_score_gemma":0.0053594513,"teacher_disagreement_score":0.35122356,"about_ca_system_score_codex":0.0015534593,"about_ca_system_score_gemma":0.0014883314,"threshold_uncertainty_score":0.92540085},"labels":[],"label_agreement":null},{"id":"W7113901064","doi":"10.1016/j.automatica.2025.112728","title":"Performance evaluation of feedback control systems under strictly stealthy attacks","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"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 Victoria","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Feed forward; Control theory (sociology); Robustness (evolution); Feedback loop; Control system; Residual; Control (management); Feedback control","score_opus":0.017295569916947452,"score_gpt":0.25893326398978184,"score_spread":0.2416376940728344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113901064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393864,0.0004674365,0.055210717,0.00019469751,0.000058249047,0.000049923932,0.00008112694,0.0002544146,0.004297064],"genre_scores_gemma":[0.99929845,0.000020857704,0.0003991658,0.00000530205,0.0000027873946,0.0000044638837,0.000018742121,0.000004397281,0.00024587507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831617,0.00048476114,0.0000945375,0.00019169449,0.00042662723,0.00048624072],"domain_scores_gemma":[0.99094045,0.0057259905,0.0010019526,0.00043724832,0.0016296325,0.00026474916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026549667,0.0007354922,0.0008812274,0.0005978964,0.0005689716,0.0012417933,0.00037722266,0.0011859281,0.0013485382],"category_scores_gemma":[0.009397818,0.0001639508,0.00035173807,0.00026769075,0.001117063,0.0007258661,0.0011044771,0.000525651,0.0001737985],"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":[0.0021049432,0.000087120214,0.00173592,0.00018802627,0.000084187486,0.00015316547,0.00014629976,0.9648923,0.016270287,0.0022499687,0.0002110819,0.0118766185],"study_design_scores_gemma":[0.000031264375,0.0011323147,0.0026422334,0.000014184506,0.000034262324,0.000043361106,0.0000700754,0.98699933,0.008330912,0.0005903567,0.000093746574,0.000017938799],"about_ca_topic_score_codex":0.004918215,"about_ca_topic_score_gemma":0.0015623047,"teacher_disagreement_score":0.004918215,"about_ca_system_score_codex":0.00097317056,"about_ca_system_score_gemma":0.0006854887,"threshold_uncertainty_score":0.014041007},"labels":[],"label_agreement":null},{"id":"W7116207748","doi":"10.1016/j.automatica.2025.112746","title":"Information-triggered learning with application to learning-based predictive control","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"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 Victoria","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Parametric statistics; Model predictive control; Stability (learning theory); Controller (irrigation); Set (abstract data type); Key (lock); Control theory (sociology); Selection (genetic algorithm); Robust control","score_opus":0.0011396620261766794,"score_gpt":0.1751153401855142,"score_spread":0.1739756781593375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116207748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01187014,0.00027502998,0.98440164,0.00012911485,0.00011322538,0.00003586026,0.000027489428,0.0004983269,0.0026492155],"genre_scores_gemma":[0.8948004,0.00029091843,0.10115044,0.00009097117,0.000099956116,0.000084571715,0.000062136,0.00009000002,0.003330619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996126,0.00008936521,0.00002478848,0.000081201055,0.00015182469,0.00004026124],"domain_scores_gemma":[0.99874425,0.00082791405,0.00007932289,0.00010519203,0.00020185037,0.000041534622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000705492,0.00051106594,0.00065564294,0.00042661352,0.0003972311,0.0009789856,0.0009043226,0.000916622,0.0025116522],"category_scores_gemma":[0.0040995185,0.00019501218,0.00044304464,0.000753825,0.0006632806,0.0007737074,0.0009166818,0.001204883,0.0002940808],"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":[0.0002718577,0.00018223173,0.00045043422,0.00014777883,0.00003856821,0.00021378542,0.00011940271,0.68229073,0.0069091874,0.04608967,0.0016693802,0.26161703],"study_design_scores_gemma":[0.000004849527,0.00002181248,0.000040545197,0.000002242654,0.0000025864688,0.00001193618,0.0000017692938,0.9929755,0.0010543427,0.00559377,0.00028686778,0.000003838868],"about_ca_topic_score_codex":0.0022228463,"about_ca_topic_score_gemma":0.0014064929,"teacher_disagreement_score":0.0025116522,"about_ca_system_score_codex":0.0005248277,"about_ca_system_score_gemma":0.0006405453,"threshold_uncertainty_score":0.008402288},"labels":[],"label_agreement":null},{"id":"W7117456787","doi":"10.1016/j.automatica.2025.112801","title":"Constrained output regulation for linear systems performing iterative tasks via robust learning MPC","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"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 Alberta","funders":"National Key Research and Development Program of China; Natural Science Foundation of Hunan Province; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Linear system; Iterative method; Model predictive control; Linear programming; Robustness (evolution); State (computer science)","score_opus":0.008391331204369449,"score_gpt":0.22575774961360554,"score_spread":0.2173664184092361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117456787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019794133,0.00019594032,0.9754185,0.00008661612,0.000029380779,0.00003183179,0.000019307434,0.0002275242,0.0041968487],"genre_scores_gemma":[0.9568906,0.00013688703,0.04010487,0.000044676384,0.000029826808,0.000099737415,0.000046790054,0.00005536589,0.0025913338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948573,0.00015393035,0.0000218226,0.00009355546,0.00017248822,0.00007247347],"domain_scores_gemma":[0.99921334,0.0004153733,0.00013295394,0.00008116243,0.00013846741,0.00001876492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000946296,0.0008210787,0.000833407,0.0003211036,0.00029672077,0.0009113885,0.00075868703,0.0007124966,0.0014514923],"category_scores_gemma":[0.002558525,0.000364164,0.00047464608,0.00035769353,0.0008037098,0.0006702777,0.0013463058,0.0007883061,0.00027617527],"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":[0.00008467878,0.00004337518,0.00014761933,0.000095622025,0.000031612828,0.000037450198,0.00006817121,0.9574396,0.0045926925,0.007651612,0.0004999623,0.029307561],"study_design_scores_gemma":[0.0000043292357,0.00002033932,0.000059664224,0.000003123958,0.0000025627376,0.0000026305663,0.0000023628372,0.9979851,0.0005622535,0.0012275998,0.00012749007,0.0000024575922],"about_ca_topic_score_codex":0.004479215,"about_ca_topic_score_gemma":0.0032908297,"teacher_disagreement_score":0.004479215,"about_ca_system_score_codex":0.00047585953,"about_ca_system_score_gemma":0.00067177194,"threshold_uncertainty_score":0.008906305},"labels":[],"label_agreement":null}]}