{"meta":{"query_hash":"ca4e701d2add","filters":{"venue":"Journal of the Franklin Institute"},"cohort_total":84,"direct_labels_cover":0,"predictions_cover":84,"exported":84,"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/ca4e701d2add","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+the+Franklin+Institute"},"results":[{"id":"W1969898186","doi":"10.1016/j.jfranklin.2005.09.005","title":"Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms","year":2005,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Neural Networks and Applications","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":"University of Alberta","funders":"Ministry of Economy","keywords":"Artificial neural network; Genetic algorithm; Computer science; Algorithm; Layer (electronics); Polynomial; Development (topology); Artificial intelligence; Mathematics; Machine learning; Materials science; Nanotechnology","score_opus":0.034706062788815994,"score_gpt":0.2295474382526359,"score_spread":0.1948413754638199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969898186","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":[0.029646939,0.0021514245,0.96227163,0.00038370516,0.000094459945,0.000045714445,0.000019751787,0.00016496761,0.0052213967],"genre_scores_gemma":[0.4431806,0.0019810644,0.5512423,0.00006677566,0.00007911632,0.000111055866,0.000039279093,0.00007833536,0.003221466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984527,0.00006022748,0.000007685194,0.000030268571,0.000042928146,0.0000137168645],"domain_scores_gemma":[0.99929476,0.000421939,0.000059494225,0.000057224424,0.00014391955,0.000022698572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010396284,0.00028230145,0.00031919265,0.00047615173,0.00028236688,0.00072359486,0.0009706606,0.0008280389,0.00083173113],"category_scores_gemma":[0.0034479515,0.00039550543,0.00041368348,0.0005548111,0.0007816126,0.0011765895,0.0005374331,0.0009295142,0.00019298357],"study_design_candidate":"bench_or_experimental","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":[0.000049028502,0.000048793227,0.0011032302,0.000108271706,0.000045286903,0.00007736715,0.00021706826,0.6998152,0.003876719,0.15735112,0.0009097419,0.1363981],"study_design_scores_gemma":[0.000008277984,0.000018206469,0.00013757947,0.0000130395265,0.000008500889,0.00003603465,0.000010628584,0.96874624,0.0012189186,0.028093092,0.0017022336,0.000007120773],"about_ca_topic_score_codex":0.0018907819,"about_ca_topic_score_gemma":0.002265749,"teacher_disagreement_score":0.0018907819,"about_ca_system_score_codex":0.00064581906,"about_ca_system_score_gemma":0.00067672005,"threshold_uncertainty_score":0.0054981112},"labels":[],"label_agreement":null},{"id":"W1970260435","doi":"10.1016/j.jfranklin.2012.03.001","title":"Probability of outlier analysis in weak GPS signal acquisition","year":2012,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"GNSS positioning and interference","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 Calgary","funders":"","keywords":"Outlier; Global Positioning System; GPS signals; SIGNAL (programming language); Computer science; Anomaly detection; Monte Carlo method; Range (aeronautics); Set (abstract data type); Detector; Assisted GPS; Algorithm; Statistics; Data mining; Artificial intelligence; Mathematics; Engineering; Telecommunications","score_opus":0.018624912455376844,"score_gpt":0.22905125376441696,"score_spread":0.21042634130904012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970260435","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":[0.7736051,0.0007541013,0.22182427,0.0005923547,0.00011268668,0.000046951325,0.0003343902,0.0005378796,0.0021922714],"genre_scores_gemma":[0.9946163,0.00011017337,0.0046028164,0.00002711035,0.000075000986,0.000009032919,0.0002442208,0.000032159292,0.00028318958],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937716,0.0016524118,0.00047370003,0.00085175544,0.0025398803,0.00071059685],"domain_scores_gemma":[0.89458466,0.08599625,0.00797006,0.0041505387,0.005881444,0.0014170726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057021184,0.00052359124,0.0011312966,0.0022933597,0.0007252915,0.0017226146,0.0011559108,0.0017508627,0.0010074688],"category_scores_gemma":[0.062883765,0.0005650976,0.0006777085,0.001865236,0.0017087107,0.0020096526,0.0017697656,0.0014612852,0.00025229013],"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":[0.0038621593,0.00031037274,0.53831726,0.00029832602,0.0004374981,0.0021791153,0.00050786615,0.31607774,0.014234324,0.020421589,0.0026494134,0.10070435],"study_design_scores_gemma":[0.00005103763,0.0003952239,0.09953142,0.000045716468,0.00018723331,0.0024753103,0.00023855575,0.8784602,0.00806018,0.009574033,0.0009128034,0.00006822832],"about_ca_topic_score_codex":0.0014006477,"about_ca_topic_score_gemma":0.0011205017,"teacher_disagreement_score":0.0057021184,"about_ca_system_score_codex":0.0007147166,"about_ca_system_score_gemma":0.0007390041,"threshold_uncertainty_score":0.030156076},"labels":[],"label_agreement":null},{"id":"W1973091847","doi":"10.1016/j.jfranklin.2006.08.001","title":"A time-varying stochastic framework for modeling wireless channels","year":2006,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Satellite Communication Systems","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":"Western University","funders":"","keywords":"Computer science; Wireless; Computer network; Telecommunications","score_opus":0.029446273532324492,"score_gpt":0.2559435037745805,"score_spread":0.22649723024225604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973091847","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":[0.0047495705,0.00034032724,0.99357295,0.00020481342,0.000056075223,0.000015128987,0.00008449448,0.00007189031,0.00090486277],"genre_scores_gemma":[0.7665592,0.0038848156,0.21347998,0.00030306666,0.00071930804,0.00033146108,0.0006380756,0.00018995437,0.013894114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988171,0.0005496648,0.00005983738,0.0002059278,0.00023153175,0.00013589351],"domain_scores_gemma":[0.99744546,0.0017478609,0.00024184042,0.00014677878,0.00030014288,0.000117943884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025631678,0.0015133165,0.00147399,0.0008500678,0.0007545232,0.0018517458,0.0026271371,0.0021681315,0.0016922648],"category_scores_gemma":[0.005305397,0.0009922902,0.0014975765,0.0014467584,0.0015772397,0.0021505328,0.0013923933,0.0024865924,0.0004697469],"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":[0.000015854537,0.000019565497,0.00015121157,0.000025135345,0.000031311287,0.000059073845,0.000029309953,0.8994536,0.00045126866,0.09590705,0.0004582811,0.0033983546],"study_design_scores_gemma":[0.000003594145,0.000005883235,0.000024948975,0.00000249443,0.000007170922,0.00000770687,0.0000031166046,0.9882676,0.00003635071,0.011366458,0.00026940834,0.000005225546],"about_ca_topic_score_codex":0.013794392,"about_ca_topic_score_gemma":0.010792985,"teacher_disagreement_score":0.013794392,"about_ca_system_score_codex":0.0014253584,"about_ca_system_score_gemma":0.0015070208,"threshold_uncertainty_score":0.02742821},"labels":[],"label_agreement":null},{"id":"W1974228091","doi":"10.1016/j.jfranklin.2009.03.006","title":"Generic two-degree-of-freedom linear and fuzzy controllers for integral processes","year":2009,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Control Systems in Engineering","field":"Engineering","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 Ottawa","funders":"","keywords":"Control theory (sociology); Overshoot (microwave communication); Settling time; Fuzzy logic; Fuzzy control system; Servo; Servomechanism; Controller (irrigation); Degree (music); Stability (learning theory); Variable (mathematics); Control engineering; Computer science; Mathematics; Control (management); Engineering; Step response; Artificial intelligence; Physics","score_opus":0.018581407399190668,"score_gpt":0.23411514916931525,"score_spread":0.21553374177012458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974228091","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":[0.060340136,0.0005138806,0.92409956,0.00017554848,0.00013470491,0.000070012065,0.000075590426,0.00035677373,0.014233789],"genre_scores_gemma":[0.9560105,0.00019547205,0.04059585,0.000053720785,0.00003411277,0.000046549674,0.000046257774,0.000018812128,0.002998788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997515,0.00002816085,0.000016290884,0.000057097364,0.00009635589,0.000050566166],"domain_scores_gemma":[0.99980813,0.000034287994,0.00003274162,0.00004916641,0.000054169624,0.000021506989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006739339,0.00071042427,0.00077873166,0.00051421864,0.0007692299,0.0010883071,0.0010434656,0.001189361,0.002453986],"category_scores_gemma":[0.00097302726,0.0001907504,0.0006350526,0.00044266044,0.0009350913,0.00090273604,0.0011270102,0.00070987263,0.00030157054],"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":[0.0006754821,0.00017027388,0.0005840338,0.00038075668,0.00006245969,0.00042046362,0.0005048685,0.3954969,0.05068056,0.43108645,0.001900375,0.118037336],"study_design_scores_gemma":[0.00004811992,0.000122027086,0.0002802826,0.000018718189,0.000021486681,0.00008904497,0.000026717513,0.9427789,0.004966927,0.04918012,0.0024437094,0.000024041392],"about_ca_topic_score_codex":0.00097434415,"about_ca_topic_score_gemma":0.0012530204,"teacher_disagreement_score":0.002453986,"about_ca_system_score_codex":0.0007840583,"about_ca_system_score_gemma":0.0005499814,"threshold_uncertainty_score":0.008209407},"labels":[],"label_agreement":null},{"id":"W1974484534","doi":"10.1016/j.jfranklin.2014.08.014","title":"On the method of energy shaping via static output feedback for stabilization of mechanical systems","year":2014,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Output feedback; Control theory (sociology); Energy (signal processing); Mechanical system; Computer science; Control engineering; Engineering; Mechanical engineering; Physics; Control (management); Artificial intelligence","score_opus":0.02053864464751039,"score_gpt":0.23642357155845364,"score_spread":0.21588492691094324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974484534","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":[0.0048404904,0.00042393728,0.98899734,0.00015089872,0.00011212696,0.000026789125,0.000013302719,0.00012117897,0.005313892],"genre_scores_gemma":[0.68388176,0.0017207792,0.2951353,0.00042900973,0.00038685568,0.0002202575,0.000064088745,0.00029521395,0.017866733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99968576,0.00013641322,0.000013869963,0.000046299177,0.00009560477,0.000022095845],"domain_scores_gemma":[0.99967813,0.00020666078,0.000023606748,0.000032877902,0.00004603347,0.000012794437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080187956,0.00070996705,0.0006581854,0.00058922113,0.00041928404,0.0006326549,0.0006847193,0.00083014823,0.0031774894],"category_scores_gemma":[0.0015223657,0.00022809528,0.0007774756,0.0003938276,0.0013021351,0.00075951783,0.001295396,0.0011162971,0.00040594628],"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":[0.0004939677,0.00013460327,0.00028731316,0.00053099665,0.0001387394,0.0001479604,0.00035669663,0.29245108,0.04208866,0.39712685,0.0036863429,0.2625568],"study_design_scores_gemma":[0.000024103003,0.00016287327,0.00010998435,0.000021821004,0.000019885936,0.00005178899,0.000018588767,0.9144724,0.0026146292,0.078936584,0.0035458952,0.000021482967],"about_ca_topic_score_codex":0.00071202585,"about_ca_topic_score_gemma":0.0007272783,"teacher_disagreement_score":0.0031774894,"about_ca_system_score_codex":0.00043663877,"about_ca_system_score_gemma":0.00039573602,"threshold_uncertainty_score":0.010629773},"labels":[],"label_agreement":null},{"id":"W1979493360","doi":"10.1016/j.jfranklin.2004.10.002","title":"A fast exact weighted subband adaptive algorithm and its application to mono and stereo acoustic echo cancellation","year":2004,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Adaptive Filtering Techniques","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":"University of Ottawa","funders":"","keywords":"Algorithm; Sample matrix inversion; Computer science; Sample (material); Adaptive filter; Inversion (geology); Signal processing; Echo (communications protocol); Covariance matrix; Digital signal processing","score_opus":0.009652264343098403,"score_gpt":0.22798666875094722,"score_spread":0.21833440440784882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979493360","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":[0.0033546123,0.000084506784,0.9957487,0.000032414304,0.000043161635,0.000014905782,0.000011351936,0.00018727689,0.00052304217],"genre_scores_gemma":[0.026655067,0.0002008148,0.9696353,0.000050287315,0.000039735343,0.000059680428,0.00005763402,0.000081773025,0.0032196867],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996706,0.00006354789,0.000018072393,0.000034594897,0.00019256034,0.000020581496],"domain_scores_gemma":[0.9991543,0.00034262222,0.000036811656,0.00014083453,0.00029637263,0.000029056751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097049,0.0006533674,0.0004618332,0.00067936716,0.0003193159,0.0005479201,0.00072186923,0.0010958727,0.0037760178],"category_scores_gemma":[0.0027494465,0.0003865591,0.00039746155,0.00090569764,0.00040705595,0.0009631371,0.00076665106,0.0007027994,0.0015324127],"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":[0.0002992324,0.00010861438,0.00039427736,0.00010684289,0.000052505704,0.00012422726,0.00012290882,0.06366409,0.09445572,0.024159858,0.0027637128,0.81374806],"study_design_scores_gemma":[0.00002554414,0.00008295408,0.00035527674,0.000009709138,0.000017175154,0.00024403358,0.00001728449,0.9658996,0.021892013,0.0055836006,0.0058464482,0.000026310347],"about_ca_topic_score_codex":0.0013733885,"about_ca_topic_score_gemma":0.0030047728,"teacher_disagreement_score":0.0037760178,"about_ca_system_score_codex":0.00021384514,"about_ca_system_score_gemma":0.00066432415,"threshold_uncertainty_score":0.012632012},"labels":[],"label_agreement":null},{"id":"W1987217601","doi":"10.1016/j.jfranklin.2010.12.006","title":"New results on BIBO stability analysis for a class of neutral delay systems","year":2010,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","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 Waterloo","funders":"Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"BIBO stability; Stability (learning theory); Class (philosophy); Mathematics; Control theory (sociology); Computer science; Artificial intelligence; Physics; Control (management); Machine learning; Nonlinear system","score_opus":0.020142366815430822,"score_gpt":0.2365081501315779,"score_spread":0.21636578331614706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987217601","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":[0.02830305,0.003545976,0.90388435,0.0006261079,0.000560173,0.000071650225,0.00017842645,0.00022416665,0.06260608],"genre_scores_gemma":[0.81927633,0.0076116566,0.13474064,0.0012316434,0.0012824232,0.0002944062,0.0005053345,0.0002497683,0.03480776],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996952,0.00003763324,0.000017188528,0.000054689815,0.00016341508,0.00003194306],"domain_scores_gemma":[0.9995577,0.00021119343,0.000050650277,0.000028158076,0.000108184555,0.00004413719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078726973,0.0011077013,0.00065608235,0.0016926022,0.00074860983,0.0013342059,0.0008350863,0.00055275543,0.005727772],"category_scores_gemma":[0.0020777213,0.0002727037,0.00069489994,0.000833145,0.0012851084,0.0020336166,0.0015771337,0.0015725513,0.00068127207],"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":[0.00019284459,0.00006594385,0.0006126987,0.0004782887,0.000087449764,0.00033443698,0.00046192596,0.055613022,0.02265919,0.83844334,0.004574415,0.07647639],"study_design_scores_gemma":[0.000040690295,0.00011708912,0.0005579647,0.00009709057,0.00005324332,0.00022949482,0.00010940187,0.41180843,0.0036212294,0.56994534,0.013359999,0.000060033788],"about_ca_topic_score_codex":0.00069022435,"about_ca_topic_score_gemma":0.0006451962,"teacher_disagreement_score":0.005727772,"about_ca_system_score_codex":0.00068822555,"about_ca_system_score_gemma":0.0003484898,"threshold_uncertainty_score":0.019161284},"labels":[],"label_agreement":null},{"id":"W2000155136","doi":"10.1016/j.jfranklin.2014.04.018","title":"Powertrain architectures of electrified vehicles: Review, classification and comparison","year":2014,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":168,"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":"Powertrain; Electrification; Automotive engineering; Computer science; Work (physics); Electric vehicle; Power (physics); Electricity; Engineering; Electrical engineering; Torque; Mechanical engineering","score_opus":0.02125721633536427,"score_gpt":0.285582439955627,"score_spread":0.26432522362026273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000155136","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":[0.0131589845,0.96768004,0.010024866,0.0006755143,0.00040381218,0.00007154943,0.00020853562,0.000058368827,0.0077184197],"genre_scores_gemma":[0.059694786,0.93010855,0.0065045296,0.0002721408,0.00042284568,0.00006404117,0.00064928096,0.000018917412,0.002264853],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973315,0.000024784686,0.00005116451,0.000055505294,0.00010907997,0.000026415008],"domain_scores_gemma":[0.9992508,0.00030788334,0.000117116724,0.000029898461,0.00026939966,0.000024806228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760951,0.00090371585,0.00090906164,0.0025960724,0.0001632678,0.0011407825,0.0014625404,0.0006733362,0.0019395096],"category_scores_gemma":[0.0013387653,0.00033035706,0.0004229048,0.0035257747,0.0003169886,0.0023293465,0.00043864816,0.0005821538,0.00055672345],"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":[0.00018130546,0.00013476665,0.001990673,0.013259793,0.00020702713,0.00011462514,0.00010158693,0.007496868,0.0029375758,0.0069023953,0.0057963026,0.9608771],"study_design_scores_gemma":[0.00013355422,0.0017134749,0.01254069,0.017178312,0.0014305522,0.0034444465,0.0010384211,0.017109018,0.014268857,0.020945612,0.9100029,0.00019414687],"about_ca_topic_score_codex":0.0010143685,"about_ca_topic_score_gemma":0.0014747026,"teacher_disagreement_score":0.0025960724,"about_ca_system_score_codex":0.00055318844,"about_ca_system_score_gemma":0.00080063427,"threshold_uncertainty_score":0.0064882636},"labels":[],"label_agreement":null},{"id":"W2001069173","doi":"10.1016/s0016-0032(00)00021-1","title":"A new forced LMS-based adaptive algorithm utilizing the principle of potential energy","year":2000,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Adaptive Filtering Techniques","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 Ottawa","funders":"","keywords":"Computer science; Energy (signal processing); Algorithm; Mathematics","score_opus":0.012393010005467914,"score_gpt":0.23340966979773622,"score_spread":0.2210166597922683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001069173","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":[0.0018024034,0.00015834904,0.99628735,0.0000775759,0.00018035733,0.000018883853,0.00001460824,0.0002698596,0.0011905844],"genre_scores_gemma":[0.043862257,0.0002885537,0.94736254,0.00016514321,0.00015675233,0.00013691609,0.000090017784,0.00010200964,0.007835839],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974304,0.000042114494,0.00001603075,0.000056556783,0.00012888055,0.000013389275],"domain_scores_gemma":[0.999653,0.00013507114,0.000023720318,0.00003808058,0.00013054203,0.000019712772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043794746,0.00060108356,0.000545832,0.0004314783,0.00038351657,0.0006501913,0.001071048,0.0011963249,0.005629403],"category_scores_gemma":[0.0012416992,0.00025259895,0.00044243308,0.0004988665,0.00035626962,0.00092376536,0.00062847935,0.000909503,0.0023646555],"study_design_candidate":"bench_or_experimental","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":[0.00024932073,0.000091861606,0.00054381066,0.00021120805,0.00010235255,0.00011046324,0.00009326169,0.060654387,0.10490378,0.024666565,0.005772056,0.80260104],"study_design_scores_gemma":[0.000057584693,0.000093792776,0.00029490096,0.00002320766,0.000033435128,0.0001827007,0.000008970264,0.9684738,0.013456893,0.0034458581,0.013898341,0.00003045918],"about_ca_topic_score_codex":0.0010104039,"about_ca_topic_score_gemma":0.0025840227,"teacher_disagreement_score":0.005629403,"about_ca_system_score_codex":0.00026862006,"about_ca_system_score_gemma":0.00066567725,"threshold_uncertainty_score":0.018832207},"labels":[],"label_agreement":null},{"id":"W2008758058","doi":"10.1016/j.jfranklin.2011.12.005","title":"Stability criteria of a class of nonlinear impulsive switching systems with time-varying delays","year":2011,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Neural Networks Stability and Synchronization","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":"Control theory (sociology); Nonlinear system; Stability (learning theory); Class (philosophy); Lyapunov function; Computer science; Mathematics; Control (management); Artificial intelligence; Physics","score_opus":0.02628509337259743,"score_gpt":0.23303446618756338,"score_spread":0.20674937281496594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008758058","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":[0.277971,0.0012292588,0.69157696,0.00044287706,0.00012746663,0.00014345378,0.00017578002,0.00026695317,0.028066177],"genre_scores_gemma":[0.9909638,0.0002411129,0.0061833956,0.000025649731,0.00003695753,0.000057040186,0.00007076413,0.000017321066,0.0024038702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996793,0.000058135858,0.00002215812,0.000059927544,0.00013943209,0.00004103113],"domain_scores_gemma":[0.9990522,0.00044675323,0.00015519759,0.000025415657,0.0002738796,0.000046521953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007397058,0.0008407263,0.0007689441,0.00097404013,0.0005591774,0.0018244713,0.0008566905,0.0008606956,0.00174843],"category_scores_gemma":[0.0015799383,0.00025231877,0.0004745235,0.0005759954,0.0007146775,0.0005365865,0.0007158714,0.0005732365,0.0001912808],"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":[0.00043810668,0.000120869365,0.0019896287,0.0004744351,0.00016431979,0.00096647046,0.00067239144,0.7077438,0.04557408,0.18989652,0.002487852,0.04947154],"study_design_scores_gemma":[0.000015935662,0.00006189319,0.00036894975,0.000011276631,0.000016280508,0.000070803595,0.000037110727,0.9853629,0.0014536304,0.012041582,0.00054952514,0.000010251286],"about_ca_topic_score_codex":0.0021455502,"about_ca_topic_score_gemma":0.001501544,"teacher_disagreement_score":0.0021455502,"about_ca_system_score_codex":0.0010011146,"about_ca_system_score_gemma":0.0005435013,"threshold_uncertainty_score":0.0072636604},"labels":[],"label_agreement":null},{"id":"W2013330433","doi":"10.1016/j.jfranklin.2008.04.010","title":"A multi-dimensional transfer function approach to photo-acoustic signal analysis","year":2008,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Photoacoustic and Ultrasonic Imaging","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 Ottawa","funders":"","keywords":"Transfer function; Acoustics; SIGNAL (programming language); Computer science; Function (biology); Physics; Engineering; Electrical engineering","score_opus":0.017552227763003074,"score_gpt":0.20570946791749012,"score_spread":0.18815724015448704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013330433","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":[0.0010914896,0.00028449282,0.99772245,0.00006474334,0.000027155827,0.000007029697,0.00001112414,0.00006302182,0.00072845403],"genre_scores_gemma":[0.17005433,0.0025664202,0.81188804,0.00018045463,0.00037156424,0.0002113121,0.00020421082,0.00022709345,0.014296603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978215,0.00007010422,0.0000146580005,0.000034209894,0.00008343411,0.00001543426],"domain_scores_gemma":[0.9995968,0.00020802449,0.000028932216,0.00004859135,0.000099103294,0.000018523046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046644924,0.0007340302,0.00064217794,0.00085287297,0.0003841853,0.0011927009,0.0011184951,0.0010684619,0.0026122301],"category_scores_gemma":[0.0013048105,0.00044338134,0.00088366406,0.00076299306,0.000634065,0.0012140984,0.00096396747,0.001136301,0.0013497068],"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":[0.000079861326,0.0001811709,0.00036398743,0.00029510254,0.00013614206,0.00025440168,0.00014261417,0.48613238,0.03408763,0.14387223,0.0042087436,0.33024567],"study_design_scores_gemma":[0.0000030548872,0.000014469962,0.00008649268,0.0000060732195,0.000008691948,0.000045053017,0.000009284634,0.97863173,0.0014192403,0.018016497,0.0017482735,0.000011119916],"about_ca_topic_score_codex":0.0015144893,"about_ca_topic_score_gemma":0.0014814946,"teacher_disagreement_score":0.0026122301,"about_ca_system_score_codex":0.0003827523,"about_ca_system_score_gemma":0.00045360817,"threshold_uncertainty_score":0.008738816},"labels":[],"label_agreement":null},{"id":"W2019989461","doi":"10.1016/j.jfranklin.2014.11.021","title":"Distributed formation control of networked Euler–Lagrange systems with fault diagnosis","year":2014,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","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":"York University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Nonlinear system; Bounded function; Workspace; Fault (geology); Computer science; Noise (video); Tracking (education); Fault tolerance; Control engineering; Control (management); Mathematics; Engineering; Distributed computing; Artificial intelligence","score_opus":0.011353518631305121,"score_gpt":0.20864618200044796,"score_spread":0.19729266336914283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019989461","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":[0.09775872,0.00028813118,0.8947708,0.000573834,0.00023960655,0.00006518987,0.000039877792,0.0002876189,0.005976181],"genre_scores_gemma":[0.9869538,0.000054289412,0.011202811,0.000021845324,0.00002072177,0.00003692206,0.000017378916,0.000007423487,0.0016848538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997365,0.000067793175,0.0000138068435,0.000072386785,0.000069264366,0.000040211893],"domain_scores_gemma":[0.99933296,0.00022892522,0.00017489429,0.00007118083,0.00014783906,0.00004418403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066988653,0.0005338847,0.00059914344,0.0003246252,0.00060156954,0.0007629276,0.0007274338,0.0005295259,0.0013136857],"category_scores_gemma":[0.0021226348,0.0003040371,0.00034684778,0.00024945624,0.0010167786,0.0006712126,0.0012331753,0.00064978894,0.0001702788],"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":[0.0001362279,0.000035795405,0.00050721783,0.000037997397,0.000025373254,0.00006978967,0.000101601494,0.9658183,0.0021602064,0.008186118,0.00038499103,0.022536332],"study_design_scores_gemma":[0.000027233222,0.000050862298,0.00012295508,0.0000032489236,0.0000054363018,0.000013077251,0.000009839506,0.9964199,0.00071921875,0.002271371,0.0003525229,0.0000043174446],"about_ca_topic_score_codex":0.0055109616,"about_ca_topic_score_gemma":0.0040305727,"teacher_disagreement_score":0.0055109616,"about_ca_system_score_codex":0.0006464223,"about_ca_system_score_gemma":0.001127299,"threshold_uncertainty_score":0.0109577775},"labels":[],"label_agreement":null},{"id":"W2029929198","doi":"10.1016/j.jfranklin.2009.07.002","title":"Cyclic DNA codes over the ring <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>F</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub><mml:mo stretchy=\"false\">[</mml:mo><mml:mi>u</mml:mi><mml:mo stretchy=\"false\">]</mml:mo><mml:mo>/</mml:mo><mml:mo stretchy=\"false\">(</mml:mo><mml:msup><mml:mrow><mml:mi>u</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mo>-</mml:mo><mml:mn>1</mml:mn><mml:mo stretchy=\"false\">)</mml:mo></mml:math> based on the deletion distance","year":2009,"lang":"lv","type":"article","venue":"Journal of the Franklin Institute","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","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":"Concordia University","funders":"","keywords":"Ring (chemistry); Set (abstract data type); Mathematics; DNA; Similarity (geometry); Minimum distance; Combinatorics; Genetics; Discrete mathematics; Computer science; Biology; Artificial intelligence; Chemistry; Image (mathematics)","score_opus":0.0160574690519091,"score_gpt":0.2378533661460158,"score_spread":0.2217958970941067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029929198","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":[0.13957143,0.0021411625,0.2913718,0.003699405,0.0024248187,0.00047996826,0.020270303,0.013324871,0.52671623],"genre_scores_gemma":[0.5602995,0.0023037004,0.11612925,0.001224866,0.00083559955,0.00053285324,0.017953893,0.0032280234,0.2974923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994568,0.000077436314,0.00004022764,0.00011655783,0.00017558919,0.00013333696],"domain_scores_gemma":[0.99881446,0.00026728737,0.00018960438,0.000175434,0.00043107747,0.00012230751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038232232,0.0006215353,0.0003250374,0.0008817494,0.00077334733,0.0011498058,0.00053505483,0.00048774853,0.054224107],"category_scores_gemma":[0.002248936,0.00025482292,0.0004161248,0.0011962929,0.00069248525,0.0011554264,0.0009141545,0.00075375533,0.025290973],"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":[0.0008789361,0.00010413375,0.0014475984,0.0006382452,0.000028758215,0.00058873603,0.0006287656,0.007823942,0.043672964,0.5593507,0.15812916,0.2267081],"study_design_scores_gemma":[0.00016097247,0.00031150144,0.0022195366,0.0002547778,0.000034510445,0.00073384476,0.00030607075,0.014421725,0.07941116,0.14976361,0.75224584,0.00013648013],"about_ca_topic_score_codex":0.004069175,"about_ca_topic_score_gemma":0.003808065,"teacher_disagreement_score":0.054224107,"about_ca_system_score_codex":0.0012888464,"about_ca_system_score_gemma":0.0014142718,"threshold_uncertainty_score":0.18139768},"labels":[],"label_agreement":null},{"id":"W2031237518","doi":"10.1016/j.jfranklin.2013.05.031","title":"Robust cooperative control for a group of mobile robots with quantized information exchange","year":2013,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","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":"École de Technologie Supérieure","funders":"","keywords":"Mobile robot; Trajectory; Backstepping; Centroid; Controller (irrigation); Information exchange; Group (periodic table); Computer science; Robot; Control theory (sociology); Graph theory; Graph; Topology (electrical circuits); Control (management); Mathematics; Artificial intelligence; Theoretical computer science; Adaptive control; Combinatorics; Telecommunications","score_opus":0.018103186338360007,"score_gpt":0.2217331640133125,"score_spread":0.2036299776749525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031237518","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":[0.097551756,0.00021555228,0.8973842,0.00057647104,0.0001247509,0.00006361403,0.000044041466,0.0002414923,0.0037979647],"genre_scores_gemma":[0.98628867,0.000058499838,0.011627993,0.000041772953,0.000027839924,0.0000844423,0.000021790958,0.000010877637,0.0018381013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914837,0.0002104976,0.000045608864,0.0002324873,0.0002316039,0.00013145873],"domain_scores_gemma":[0.9983588,0.0007252104,0.0003905315,0.00012544586,0.00030066588,0.000099427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013196114,0.0010592636,0.0013585706,0.0006355797,0.0009803515,0.0015083504,0.0017701968,0.001498142,0.0012538597],"category_scores_gemma":[0.00356892,0.0005693964,0.0006334749,0.00062304083,0.002077897,0.0012788409,0.002639046,0.0009266748,0.00020090415],"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":[0.0001869816,0.000053756135,0.00031427664,0.00006412505,0.000048493624,0.00017563152,0.00018663544,0.9707671,0.0037357647,0.014351453,0.00045090273,0.009664986],"study_design_scores_gemma":[0.00002111541,0.000053830994,0.00006874578,0.0000020817733,0.000007131805,0.000006676659,0.000010683393,0.99737823,0.00019739424,0.0021713402,0.00007777572,0.0000050834633],"about_ca_topic_score_codex":0.008786651,"about_ca_topic_score_gemma":0.004900362,"teacher_disagreement_score":0.008786651,"about_ca_system_score_codex":0.0010828401,"about_ca_system_score_gemma":0.0010841391,"threshold_uncertainty_score":0.017471015},"labels":[],"label_agreement":null},{"id":"W2039443968","doi":"10.1016/j.jfranklin.2013.02.025","title":"Decentralized asymptotic fault tolerant control of near space vehicle with high order actuator dynamics","year":2013,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":46,"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":"Backstepping; Control theory (sociology); Actuator; Fault tolerance; Fault (geology); Reentry; Filter (signal processing); Computer science; Mode (computer interface); Engineering; Control engineering; Control (management); Distributed computing; Adaptive control; Artificial intelligence","score_opus":0.004435406073530143,"score_gpt":0.18342087359664289,"score_spread":0.17898546752311273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039443968","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":[0.3430913,0.00023168878,0.6492664,0.00041618836,0.00015851184,0.00003965563,0.000053557957,0.00034868997,0.006393958],"genre_scores_gemma":[0.99699605,0.000023718403,0.0020949594,0.000011743712,0.000010379744,0.000012347381,0.000012877051,0.0000037485936,0.000834193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978083,0.000044520286,0.000010484173,0.00004589752,0.00007599201,0.00004229052],"domain_scores_gemma":[0.9994635,0.00015136287,0.00014745198,0.000049621616,0.00015121729,0.000036872418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037922148,0.00045357615,0.00064217305,0.00027909223,0.00057646557,0.00058697094,0.0006145824,0.0005034817,0.00080865325],"category_scores_gemma":[0.0009596605,0.00023944862,0.00025243618,0.00022532589,0.00064406544,0.0005145619,0.00082593365,0.00041586332,0.000115393166],"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":[0.00024622175,0.000043233606,0.000639869,0.00008472572,0.000033761877,0.00018675538,0.0001303806,0.95648044,0.0135649415,0.006577264,0.00058093265,0.021431427],"study_design_scores_gemma":[0.00001495948,0.00011420479,0.00028079338,0.0000022226823,0.000004493437,0.000018978395,0.000013373717,0.99713767,0.00081953953,0.0013932365,0.00019717583,0.0000033623905],"about_ca_topic_score_codex":0.003904352,"about_ca_topic_score_gemma":0.0032528592,"teacher_disagreement_score":0.003904352,"about_ca_system_score_codex":0.00039645142,"about_ca_system_score_gemma":0.0006343104,"threshold_uncertainty_score":0.007763207},"labels":[],"label_agreement":null},{"id":"W2040638822","doi":"10.1016/j.jfranklin.2011.07.015","title":"Developing a road performance index using a Bayesian belief network model","year":2011,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":34,"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; Canadian Natural Resources; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian network; Ranking (information retrieval); Performance indicator; Computer science; Rank (graph theory); Key (lock); Probabilistic logic; Index (typography); Bayesian probability; Data mining; Operations research; Risk analysis (engineering); Artificial intelligence; Engineering; Business; Mathematics; Computer security","score_opus":0.029194212585091056,"score_gpt":0.22208121727321556,"score_spread":0.1928870046881245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040638822","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":[0.013828979,0.000100622645,0.98461086,0.000081284044,0.000017456217,0.00002544709,0.000051288873,0.00017706993,0.0011070297],"genre_scores_gemma":[0.62217003,0.0002764501,0.3742168,0.00006355336,0.000057326706,0.00014353172,0.0003959621,0.0000937873,0.0025825242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992151,0.00021797694,0.00005221597,0.00020034952,0.0002443138,0.000069990536],"domain_scores_gemma":[0.99836653,0.001014055,0.0001410306,0.00006874555,0.00036010717,0.00004952595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001841743,0.0007236307,0.0009938125,0.0017753502,0.00039950584,0.0014732365,0.0014080488,0.0013955162,0.0017281626],"category_scores_gemma":[0.0049886657,0.0006891257,0.00076895655,0.0012905943,0.00046450653,0.002677305,0.0008661556,0.0010747889,0.0005728673],"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":[0.00004051318,0.000065705215,0.0016695075,0.000036966838,0.00006019418,0.000038212962,0.000023693363,0.9298109,0.0014473703,0.0073954337,0.0005893899,0.05882203],"study_design_scores_gemma":[0.0000015179289,0.0000058080886,0.000109819826,0.0000019631289,0.000004552591,0.0000040355726,0.0000023950256,0.9981927,0.00017443471,0.0014186737,0.000081114405,0.000002933115],"about_ca_topic_score_codex":0.012755068,"about_ca_topic_score_gemma":0.0085728355,"teacher_disagreement_score":0.012755068,"about_ca_system_score_codex":0.001254729,"about_ca_system_score_gemma":0.0011777276,"threshold_uncertainty_score":0.025361657},"labels":[],"label_agreement":null},{"id":"W2042139905","doi":"10.1016/j.jfranklin.2013.01.009","title":"Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed","year":2013,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":236,"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); Concordia University","funders":"Northwestern Polytechnical University; Northwestern University","keywords":"Testbed; Actuator; Fault detection and isolation; Computer science; Control engineering; Fault (geology); Rotor (electric); Engineering; Fault tolerance; Real-time computing; Embedded system; Aerospace engineering; Artificial intelligence; Distributed computing; Electrical engineering","score_opus":0.004929190922084576,"score_gpt":0.21401214825663167,"score_spread":0.2090829573345471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042139905","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":[0.17794265,0.00020487445,0.80975854,0.00026023042,0.00017344241,0.0003935407,0.00023490001,0.0045438926,0.006487993],"genre_scores_gemma":[0.49702245,0.000095821844,0.49999475,0.00003433982,0.000015620006,0.00013476497,0.00017623526,0.00009936907,0.0024265884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982077,0.000025804431,0.0000083408495,0.0000265805,0.000093924806,0.000024603698],"domain_scores_gemma":[0.9994887,0.00012815438,0.000041864983,0.000094761075,0.00020067826,0.000045839497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044724214,0.0004218798,0.00028598597,0.00038043704,0.0003111271,0.00037200362,0.0006064198,0.00044790466,0.0025447977],"category_scores_gemma":[0.00083356583,0.00015419743,0.00016643602,0.00019752544,0.00025080628,0.00045265706,0.0002992244,0.00038874353,0.00036012387],"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":[0.0004514125,0.00043676276,0.0026145892,0.00032531327,0.00004313552,0.0005869024,0.00031934018,0.121584676,0.51740223,0.0064319437,0.0047534965,0.34505028],"study_design_scores_gemma":[0.00013539898,0.00093558506,0.0019850822,0.000022534023,0.00001794278,0.00033449117,0.000073264404,0.7548649,0.22423372,0.0010786324,0.016285187,0.000033240172],"about_ca_topic_score_codex":0.0013598592,"about_ca_topic_score_gemma":0.0016363615,"teacher_disagreement_score":0.0025447977,"about_ca_system_score_codex":0.0002530415,"about_ca_system_score_gemma":0.0005074145,"threshold_uncertainty_score":0.008513153},"labels":[],"label_agreement":null},{"id":"W2049662542","doi":"10.1016/j.jfranklin.2014.09.007","title":"Laplace type integral expressions for a certain three-parameter family of generalized Mittag–Leffler functions with applications involving complete monotonicity","year":2014,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fractional Differential Equations Solutions","field":"Mathematics","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":"University of Victoria","funders":"Hrvatska Zaklada za Znanost","keywords":"Mathematics; Monotonic function; Laplace transform; Function (biology); Type (biology); Pure mathematics; Mathematical analysis; Representation (politics); Applied mathematics","score_opus":0.08339620915050146,"score_gpt":0.3147582361945345,"score_spread":0.23136202704403308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049662542","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":[0.29630205,0.0028205386,0.6357353,0.0021965727,0.00032136615,0.00007629433,0.00018430392,0.00036406738,0.06199959],"genre_scores_gemma":[0.9221056,0.0015724972,0.059496325,0.00037285112,0.00030581062,0.00009288387,0.00015665092,0.00015811068,0.015739186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997136,0.00010442532,0.00001742169,0.000042347525,0.00006903224,0.000053169824],"domain_scores_gemma":[0.9987778,0.00046871693,0.00016120245,0.000097864344,0.0003045355,0.0001898692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020203355,0.001122491,0.0009231111,0.0031288008,0.001336399,0.0023720542,0.0013408555,0.0021112172,0.0034264273],"category_scores_gemma":[0.004782668,0.00044093293,0.0012679682,0.0015598179,0.0024265076,0.0038464626,0.00135443,0.0021141698,0.0005541843],"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":[0.000021816486,0.000023872455,0.0003030834,0.000039897102,0.000012745363,0.00020687106,0.00020718537,0.003490996,0.0025173782,0.9888011,0.0006941959,0.0036808252],"study_design_scores_gemma":[0.00001875344,0.000026649743,0.0004751173,0.000030138044,0.000028072007,0.00084990426,0.00018767729,0.19482632,0.0016059144,0.7987453,0.0031515511,0.000054615535],"about_ca_topic_score_codex":0.0007291426,"about_ca_topic_score_gemma":0.0005733881,"teacher_disagreement_score":0.0034264273,"about_ca_system_score_codex":0.001419992,"about_ca_system_score_gemma":0.00079858914,"threshold_uncertainty_score":0.011462569},"labels":[],"label_agreement":null},{"id":"W2050469967","doi":"10.1016/j.jfranklin.2013.02.014","title":"Dissipative performance control with output regulation for continuous-time descriptor systems","year":2013,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Stability and Control of Uncertain Systems","field":"Engineering","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":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Dissipative system; Control theory (sociology); Controller (irrigation); Mathematics; Set (abstract data type); Control (management); Matrix (chemical analysis); Tracking (education); Computer science; Applied mathematics; Physics; Artificial intelligence","score_opus":0.007263130318411816,"score_gpt":0.17231259310927796,"score_spread":0.16504946279086616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050469967","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":[0.056060094,0.00045413067,0.9324492,0.00029464313,0.00017733392,0.000047208454,0.000034350152,0.00024067712,0.010242366],"genre_scores_gemma":[0.99248767,0.00011114209,0.0049935495,0.000047565198,0.000038593596,0.00004797553,0.000022222863,0.000017105158,0.0022342952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995383,0.00013658393,0.000031074025,0.00008609887,0.00012851667,0.00007942821],"domain_scores_gemma":[0.99928004,0.00029003856,0.00012827801,0.00007294382,0.0002035271,0.00002515002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012729429,0.00073681603,0.0006774305,0.00032991046,0.00039317436,0.001577815,0.0007464578,0.0005596098,0.0015467567],"category_scores_gemma":[0.0022028375,0.00022857946,0.00041894082,0.00028416715,0.0010812831,0.00064260315,0.0014161471,0.00063055375,0.00021932553],"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":[0.0005801641,0.00023229205,0.0006394446,0.00046394762,0.000121287834,0.00019194778,0.00040817363,0.8303026,0.027714085,0.06956161,0.002088066,0.06769636],"study_design_scores_gemma":[0.000030981337,0.00019908024,0.00020956574,0.000010877505,0.000016491735,0.000014016604,0.000020183195,0.98978466,0.0030167785,0.006075062,0.0006094077,0.000012907221],"about_ca_topic_score_codex":0.0012710474,"about_ca_topic_score_gemma":0.0011025813,"teacher_disagreement_score":0.001577815,"about_ca_system_score_codex":0.0006240573,"about_ca_system_score_gemma":0.0005474793,"threshold_uncertainty_score":0.0067320466},"labels":[],"label_agreement":null},{"id":"W2061233749","doi":"10.1016/s0016-0032(03)00017-6","title":"A frequency domain approach to state estimation","year":2003,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":44,"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":"Robustness (evolution); Control theory (sociology); State observer; Frequency domain; Observer (physics); Computer science; Estimation; State (computer science); Mathematics; Algorithm; Artificial intelligence; Engineering; Control (management); Nonlinear system","score_opus":0.00837581729262628,"score_gpt":0.208340897064465,"score_spread":0.19996507977183872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061233749","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":[0.00092062564,0.00028661545,0.9975974,0.000086498025,0.000053600386,0.0000066032508,0.000015862448,0.00006472073,0.0009680854],"genre_scores_gemma":[0.29545486,0.0029180867,0.68485683,0.0003329326,0.00076071534,0.00018526081,0.00034972286,0.0001184958,0.015023088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999605,0.00012784287,0.000026195616,0.00008589809,0.00012812995,0.000026921889],"domain_scores_gemma":[0.99918276,0.00046562144,0.00004166162,0.00010711999,0.00018770818,0.0000151291115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056865584,0.0006937945,0.00089898374,0.0009920539,0.0005287928,0.0011263696,0.0009612344,0.0010718458,0.003046382],"category_scores_gemma":[0.002613822,0.00050607364,0.0007825531,0.0008381879,0.000663828,0.0012468618,0.0009843826,0.0013648155,0.0010293154],"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":[0.00008371309,0.00011701844,0.00054435525,0.00019968842,0.00016283737,0.00012896185,0.000101400125,0.4855693,0.007831475,0.117703445,0.003474384,0.3840834],"study_design_scores_gemma":[0.000008094121,0.000028309592,0.00019296087,0.000012634129,0.000022078715,0.00004410001,0.000014483194,0.9605278,0.00081630866,0.035842553,0.002478703,0.000011977231],"about_ca_topic_score_codex":0.0037642582,"about_ca_topic_score_gemma":0.0030098497,"teacher_disagreement_score":0.0037642582,"about_ca_system_score_codex":0.00033643792,"about_ca_system_score_gemma":0.0005973968,"threshold_uncertainty_score":0.010191202},"labels":[],"label_agreement":null},{"id":"W2068048725","doi":"10.1016/j.jfranklin.2012.08.016","title":"Comparison principle and stability of differential equations with piecewise constant arguments","year":2012,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Piecewise; Constant (computer programming); Mathematics; Stability (learning theory); Mathematical analysis; Applied mathematics; Differential equation; Constant coefficients; Calculus (dental); Computer science","score_opus":0.06066382513328593,"score_gpt":0.33906667607851787,"score_spread":0.27840285094523193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068048725","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":[0.061768156,0.004001731,0.8974287,0.0037726297,0.0003338472,0.00007222534,0.0002248947,0.00018015974,0.032217722],"genre_scores_gemma":[0.88698184,0.0034259844,0.0801821,0.00050986174,0.00072175876,0.00028953742,0.00029119835,0.0002013895,0.027396351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988028,0.0006133182,0.000048038793,0.00017364144,0.00026077608,0.00010156176],"domain_scores_gemma":[0.9898807,0.008222993,0.0005768905,0.0002498278,0.0007131681,0.00035635204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043112664,0.001363115,0.0014123593,0.0023428805,0.0011611322,0.0029242435,0.0024893142,0.0021038745,0.0050287214],"category_scores_gemma":[0.014952858,0.00054987345,0.0016462166,0.0014168223,0.003342011,0.005047883,0.003268686,0.0033952922,0.00039735436],"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":[0.000052533822,0.000016740707,0.00017947085,0.00008037878,0.000046762125,0.00004606213,0.000103638326,0.016570317,0.00093491835,0.9764589,0.00076840987,0.0047418918],"study_design_scores_gemma":[0.000035006175,0.000042717915,0.00020027014,0.000026241956,0.000020798469,0.00006053471,0.000046865112,0.12977593,0.00037332124,0.8674242,0.001974812,0.000019363873],"about_ca_topic_score_codex":0.0013874671,"about_ca_topic_score_gemma":0.00049305364,"teacher_disagreement_score":0.0050287214,"about_ca_system_score_codex":0.002172975,"about_ca_system_score_gemma":0.0014859042,"threshold_uncertainty_score":0.022800386},"labels":[],"label_agreement":null},{"id":"W2071754954","doi":"10.1016/j.jfranklin.2011.10.010","title":"Joint power control and beamforming codebook design for MISO channels under the outage criterion","year":2011,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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 Toronto","funders":"","keywords":"Codebook; Beamforming; Power control; Computer science; Power (physics); Transmitter power output; Channel state information; Rayleigh fading; Control theory (sociology); Channel (broadcasting); WSDMA; Wireless; Electronic engineering; Mathematical optimization; Precoding; Telecommunications; Algorithm; Control (management); MIMO; Mathematics; Fading; Engineering; Artificial intelligence","score_opus":0.03663351161167785,"score_gpt":0.23011440621658066,"score_spread":0.1934808946049028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071754954","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":[0.01587761,0.00038195436,0.9799116,0.00040117363,0.000047229456,0.000048991387,0.00014431057,0.00016274292,0.0030243893],"genre_scores_gemma":[0.843438,0.0009305965,0.1498875,0.0002489732,0.00020222837,0.00021797288,0.00036592083,0.000109471715,0.004599386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865746,0.00043952616,0.00006609893,0.00019066261,0.00042595743,0.0002202493],"domain_scores_gemma":[0.9960437,0.0026061856,0.0002839161,0.00025109592,0.0006518774,0.00016327066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001978852,0.0014854388,0.0014199723,0.0005261091,0.00042357537,0.0014443136,0.0010373604,0.0010418226,0.003071685],"category_scores_gemma":[0.009678595,0.00066575245,0.00034068665,0.0010310124,0.0012727269,0.0018247319,0.0014812378,0.001016641,0.0006940392],"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":[0.00069793296,0.00010981844,0.0010851247,0.00029574137,0.00006918016,0.00016371484,0.00021134735,0.782686,0.0083232615,0.0794561,0.0043065073,0.12259522],"study_design_scores_gemma":[0.00006143653,0.000085520966,0.00026202103,0.000022473047,0.000019013367,0.00006155697,0.000033819342,0.9743266,0.0017816632,0.022712344,0.00061350624,0.000020085205],"about_ca_topic_score_codex":0.0025756594,"about_ca_topic_score_gemma":0.003349185,"teacher_disagreement_score":0.003071685,"about_ca_system_score_codex":0.00073531875,"about_ca_system_score_gemma":0.002547228,"threshold_uncertainty_score":0.010465324},"labels":[],"label_agreement":null},{"id":"W2074951395","doi":"10.1016/s0016-0032(00)00020-x","title":"On control of a base-excited inverted pendulum using neural networks","year":2000,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear 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 Manitoba","funders":"","keywords":"Inverted pendulum; Excited state; Artificial neural network; Base (topology); Control theory (sociology); Control (management); Computer science; Physics; Mathematics; Artificial intelligence; Atomic physics; Mathematical analysis; Nonlinear system; Quantum mechanics","score_opus":0.016136845838819063,"score_gpt":0.2170671650624821,"score_spread":0.20093031922366306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074951395","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":[0.21218993,0.0029410236,0.7215542,0.0010453656,0.00088607665,0.00016137332,0.00007720877,0.00030900538,0.060835786],"genre_scores_gemma":[0.9846334,0.00049844297,0.008327062,0.00010046951,0.00006460233,0.0000580912,0.000025452237,0.000014684421,0.006277959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987805,0.000030351457,0.000007953446,0.000023432101,0.000032202643,0.000027971339],"domain_scores_gemma":[0.99977106,0.00012292936,0.000022374526,0.000009795527,0.00006267024,0.000011082344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051055226,0.0005856923,0.00063614454,0.0002679563,0.00052144914,0.0009509846,0.0005238596,0.00089624175,0.0019297493],"category_scores_gemma":[0.0011060411,0.00026034872,0.000335389,0.00030308953,0.0006437123,0.00043546385,0.00081234606,0.0005306013,0.00018652022],"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":[0.00014579117,0.000040219755,0.00027204535,0.00009920944,0.00005035007,0.000108724525,0.000083359206,0.9367334,0.0056097484,0.0089007905,0.0007950369,0.047161307],"study_design_scores_gemma":[0.00000834649,0.0000418717,0.00010469408,0.000007801285,0.0000069198327,0.0000063283105,0.000006417676,0.9979944,0.00041295215,0.0010725653,0.00033379672,0.0000038117578],"about_ca_topic_score_codex":0.009584162,"about_ca_topic_score_gemma":0.007553072,"teacher_disagreement_score":0.009584162,"about_ca_system_score_codex":0.0003572895,"about_ca_system_score_gemma":0.00034492734,"threshold_uncertainty_score":0.019056737},"labels":[],"label_agreement":null},{"id":"W2076251164","doi":"10.1016/j.jfranklin.2014.12.016","title":"Fault-tolerant filter design with quantized measurements","year":2015,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fault Detection and Control Systems","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 Alberta","funders":"","keywords":"Control theory (sociology); Quantization (signal processing); Residual; Filter (signal processing); Filter design; Actuator; Offset (computer science); Computer science; Fault detection and isolation; Mathematics; Algorithm","score_opus":0.06866170785599467,"score_gpt":0.24117229331038698,"score_spread":0.1725105854543923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076251164","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":[0.008067116,0.00016487988,0.99029845,0.00015990417,0.00009379425,0.000021041458,0.00003155286,0.00021804283,0.00094537425],"genre_scores_gemma":[0.8899647,0.00035565323,0.1056843,0.00018195002,0.00014384456,0.00013645634,0.00013193426,0.000051862084,0.003349346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924004,0.0001579614,0.00005441183,0.00020784557,0.00026227653,0.000077395445],"domain_scores_gemma":[0.99895203,0.00046355292,0.0001555397,0.00012645747,0.00026613168,0.00003629167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007396868,0.0010053867,0.0011328976,0.00037928132,0.00057370134,0.0016097142,0.0009888898,0.0014582651,0.0022323774],"category_scores_gemma":[0.0034015474,0.00048068905,0.0004493013,0.00045704487,0.0007145563,0.0015070366,0.00082895433,0.0010784098,0.00048115067],"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":[0.0009962455,0.00016401432,0.00080473133,0.0005675332,0.00018625303,0.00025184095,0.00034249044,0.6717765,0.045031358,0.04685974,0.0035139231,0.22950538],"study_design_scores_gemma":[0.00005121441,0.0001608328,0.0001722086,0.000017424993,0.000028505032,0.000044112545,0.000013398867,0.98559594,0.00654018,0.00654628,0.00081066287,0.00001918128],"about_ca_topic_score_codex":0.00222976,"about_ca_topic_score_gemma":0.002015398,"teacher_disagreement_score":0.0022323774,"about_ca_system_score_codex":0.00060463476,"about_ca_system_score_gemma":0.00090324145,"threshold_uncertainty_score":0.0074680448},"labels":[],"label_agreement":null},{"id":"W2080294529","doi":"10.1016/j.jfranklin.2011.03.008","title":"Cascade design for formation control of nonholonomic systems in chained form","year":2011,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Cascade; Control theory (sociology); Nonholonomic system; Constructive; Stability (learning theory); Synchronization (alternating current); Controller (irrigation); Computer science; Interconnection; Mobile robot; Control (management); Robot; Engineering","score_opus":0.04787372521155335,"score_gpt":0.23869230436896888,"score_spread":0.1908185791574155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080294529","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":[0.021422679,0.00016307512,0.9723084,0.00008795171,0.00008536482,0.000106038824,0.000028244287,0.00018349286,0.005614664],"genre_scores_gemma":[0.96189517,0.00019036041,0.033613417,0.000051763265,0.00003396833,0.00020387003,0.000054940258,0.000027979768,0.0039285533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996443,0.00008075562,0.00002281365,0.00008886941,0.00010821994,0.000055140237],"domain_scores_gemma":[0.99956566,0.00013556686,0.00008587113,0.00003852257,0.00014019941,0.00003411596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007560865,0.0009960291,0.0007651942,0.00044741717,0.00076954777,0.0008573956,0.0010269842,0.0008508964,0.005942224],"category_scores_gemma":[0.0011422695,0.0005000562,0.00063746487,0.00030818436,0.0006867831,0.000794518,0.0015125998,0.00075731496,0.0005654303],"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":[0.0005343093,0.00017859438,0.00059361267,0.00030710202,0.00008780036,0.0002608559,0.00031823578,0.85296327,0.026472706,0.04665547,0.001947903,0.069680125],"study_design_scores_gemma":[0.000038609112,0.0003069576,0.00012961443,0.00001145157,0.000017592334,0.000019376314,0.000015373207,0.99017566,0.0025691404,0.0058914106,0.0008155373,0.000009177372],"about_ca_topic_score_codex":0.0016694814,"about_ca_topic_score_gemma":0.002416597,"teacher_disagreement_score":0.005942224,"about_ca_system_score_codex":0.00054574304,"about_ca_system_score_gemma":0.00070412445,"threshold_uncertainty_score":0.019878745},"labels":[],"label_agreement":null},{"id":"W2085889198","doi":"10.1016/j.jfranklin.2013.08.015","title":"Preservation of relevant properties of interconnected dynamical systems over complex networks","year":2013,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Neural Networks 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":"Canadian Nautical Research Society","funders":"","keywords":"Computer science; Distributed computing","score_opus":0.03010828103074449,"score_gpt":0.23052496594928587,"score_spread":0.20041668491854137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085889198","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":[0.548363,0.0011216658,0.4274943,0.00082054175,0.00012757846,0.000056683533,0.00059120596,0.00036231213,0.021062814],"genre_scores_gemma":[0.98877966,0.00043748505,0.00856872,0.000056849636,0.00007965489,0.000024801164,0.00017283756,0.00006381216,0.0018160943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995634,0.00012246554,0.000039215345,0.00012403516,0.00009459803,0.00005622039],"domain_scores_gemma":[0.99559754,0.0019071967,0.0008488458,0.000892449,0.00047533587,0.00027870925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011911375,0.0005164667,0.0004650415,0.0011890512,0.0005958416,0.0021603084,0.0007284891,0.0004674744,0.0030207224],"category_scores_gemma":[0.006288126,0.00030517022,0.000595516,0.00087507913,0.0013048582,0.0038010115,0.0012596155,0.0013520863,0.00022599932],"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":[0.00025809297,0.00011101066,0.003340384,0.00022697632,0.000117232616,0.00050818134,0.00044995436,0.049653314,0.017109886,0.8937977,0.0012767467,0.03315056],"study_design_scores_gemma":[0.000025973934,0.000103166974,0.0018590017,0.000023942688,0.00004201612,0.00022328208,0.000120932535,0.12872954,0.0046941754,0.86277544,0.0013863199,0.000016165337],"about_ca_topic_score_codex":0.00040262105,"about_ca_topic_score_gemma":0.0003888184,"teacher_disagreement_score":0.0030207224,"about_ca_system_score_codex":0.00054832373,"about_ca_system_score_gemma":0.00044068712,"threshold_uncertainty_score":0.0101053715},"labels":[],"label_agreement":null},{"id":"W2086416046","doi":"10.1016/j.jfranklin.2012.12.008","title":"Reliable stabilization of switched system with average dwell-time approach","year":2012,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Stability and Control of Uncertain Systems","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":"Concordia University","funders":"","keywords":"Dwell time; Actuator; Control theory (sociology); Nonlinear system; Representation (politics); Computer science; Class (philosophy); Controller (irrigation); Control engineering; Control (management); Engineering; Artificial intelligence; Law","score_opus":0.008211984120623857,"score_gpt":0.17958224816825497,"score_spread":0.17137026404763112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086416046","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":[0.07663551,0.00064225995,0.9187658,0.00019186045,0.000113802846,0.000022871847,0.00004368773,0.00031510487,0.0032691155],"genre_scores_gemma":[0.9908221,0.00013500954,0.007915527,0.000028536539,0.000027927112,0.000021742337,0.000025225783,0.000013977259,0.0010100472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999634,0.00006664486,0.000022893882,0.00009296009,0.00012771327,0.000055765067],"domain_scores_gemma":[0.9994005,0.00025682602,0.00009101899,0.0000595515,0.00016568703,0.00002637536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453884,0.0006140355,0.0007870957,0.00044576326,0.000501444,0.00079182157,0.0008967483,0.00065812265,0.0015546903],"category_scores_gemma":[0.0013839463,0.00023386585,0.0005026497,0.0004042743,0.00068228046,0.0006320721,0.000707614,0.00069049606,0.000114391056],"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":[0.00054588343,0.00006287812,0.001024789,0.00024339095,0.00013396803,0.00016041982,0.0002955299,0.87062854,0.020416917,0.047787245,0.0012132976,0.05748705],"study_design_scores_gemma":[0.0000120815475,0.00006714618,0.00014347406,0.0000038445114,0.000012421897,0.000010380506,0.0000062903937,0.99493873,0.00087590714,0.0037251692,0.00019889427,0.0000055946107],"about_ca_topic_score_codex":0.004288114,"about_ca_topic_score_gemma":0.00342321,"teacher_disagreement_score":0.004288114,"about_ca_system_score_codex":0.00076278835,"about_ca_system_score_gemma":0.0006268994,"threshold_uncertainty_score":0.008526266},"labels":[],"label_agreement":null},{"id":"W2091690907","doi":"10.1016/j.jfranklin.2015.03.037","title":"Stochastic dynamics of HIV models with switching parameters and pulse control","year":2015,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","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":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Lemma (botany); Human immunodeficiency virus (HIV); Stochastic modelling; Stability (learning theory); Control theory (sociology); Pulse (music); Dynamics (music); Stochastic process; Control (management); Stochastic dynamics; Computer science; Mathematics; Statistical physics; Virology; Biology; Physics; Statistics; Artificial intelligence; Telecommunications; Ecology","score_opus":0.03149630907246568,"score_gpt":0.2645553246052887,"score_spread":0.23305901553282302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091690907","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":[0.41224545,0.0035881686,0.5459499,0.009085398,0.0006039944,0.00014211891,0.0009053149,0.00037751076,0.027102146],"genre_scores_gemma":[0.97567683,0.0010955489,0.0053825104,0.0002786706,0.00024160552,0.00009967644,0.00016283445,0.00004583059,0.017016543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992631,0.00033547316,0.000028128175,0.00011208078,0.000120043354,0.00014114972],"domain_scores_gemma":[0.99432546,0.0040963185,0.0006115538,0.00021535324,0.0003985947,0.00035265627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002454404,0.0009245392,0.0018713671,0.0011743652,0.00074375176,0.0026092788,0.0024023445,0.0032393222,0.0054875175],"category_scores_gemma":[0.011228779,0.0007972422,0.0010623842,0.00088092056,0.0024365284,0.0030659984,0.0016393242,0.002950504,0.00042910417],"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":[0.00012188576,0.00008937139,0.0018721278,0.00008786272,0.00010059341,0.00036258638,0.0002240934,0.5004874,0.00100312,0.4875224,0.0025600696,0.005568408],"study_design_scores_gemma":[0.000029413668,0.000027232347,0.00037204832,0.000012152328,0.000023672195,0.00007311785,0.000045606903,0.921749,0.00008656221,0.07713026,0.00042864954,0.00002236955],"about_ca_topic_score_codex":0.006764966,"about_ca_topic_score_gemma":0.0040657003,"teacher_disagreement_score":0.006764966,"about_ca_system_score_codex":0.0014936321,"about_ca_system_score_gemma":0.0012621231,"threshold_uncertainty_score":0.018357635},"labels":[],"label_agreement":null},{"id":"W2094059457","doi":"10.1016/j.jfranklin.2015.03.030","title":"Global stability of general cholera models with nonlinear incidence and removal rates","year":2015,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","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":"University of Victoria","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National Natural Science Foundation of China","keywords":"Basic reproduction number; Uniqueness; Nonlinear system; Cholera; Stability theory; Lyapunov function; Applied mathematics; Mathematics; Exponential stability; Stability (learning theory); Control theory (sociology); Mathematical optimization; Computer science; Biology; Control (management); Mathematical analysis; Population; Artificial intelligence; Physics; Demography","score_opus":0.05214049032955623,"score_gpt":0.3139608069154178,"score_spread":0.2618203165858616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094059457","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":[0.7210845,0.0015685182,0.24845807,0.006194843,0.00021168799,0.00011933039,0.0007236043,0.00037376108,0.021265622],"genre_scores_gemma":[0.98782617,0.00053718843,0.0025446184,0.00016176129,0.000072225004,0.0000834962,0.00019709443,0.00006589967,0.008511577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942684,0.0002481182,0.00002152562,0.000120182965,0.0000476885,0.00013569574],"domain_scores_gemma":[0.99490696,0.0031877223,0.00082730834,0.00016976536,0.0005014841,0.00040681715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023591826,0.0015115767,0.001998303,0.0017032681,0.0010456572,0.0027315242,0.0018995246,0.002081763,0.0036351022],"category_scores_gemma":[0.010359946,0.00080737623,0.0021420545,0.0006625626,0.0034743538,0.0025551063,0.0031980628,0.0018400967,0.00034574792],"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":[0.0001547424,0.000046899804,0.0023780756,0.00007840079,0.0001348276,0.0002201423,0.00025994403,0.83476335,0.0016012908,0.15623239,0.0019186978,0.0022112832],"study_design_scores_gemma":[0.000038931055,0.00003165688,0.00058201404,0.000012233341,0.00003218007,0.000031819025,0.00009061026,0.9268962,0.00009000421,0.071900316,0.00027128242,0.00002268512],"about_ca_topic_score_codex":0.015340082,"about_ca_topic_score_gemma":0.008014215,"teacher_disagreement_score":0.015340082,"about_ca_system_score_codex":0.0025562954,"about_ca_system_score_gemma":0.0018441105,"threshold_uncertainty_score":0.030501604},"labels":[],"label_agreement":null},{"id":"W2121488833","doi":"10.1016/j.jfranklin.2010.04.003","title":"Frequency dependent dynamic properties from resonant column and cyclic triaxial tests","year":2010,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","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 Waterloo; Western University","funders":"","keywords":"Shear modulus; Materials science; Extrapolation; Soil water; Sweep frequency response analysis; Geotechnical engineering; Damping ratio; Shear (geology); Dynamic modulus; Modulus; Bentonite; Triaxial shear test; Composite material; Dynamic mechanical analysis; Geology; Mathematics; Soil science; Acoustics; Physics; Mathematical analysis","score_opus":0.007062767876491959,"score_gpt":0.18856921610395805,"score_spread":0.1815064482274661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121488833","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":[0.9867747,0.00014056025,0.0073136073,0.000040565865,0.000015370702,0.000016382404,0.0011567873,0.00015542719,0.004386618],"genre_scores_gemma":[0.99798155,0.00004442597,0.0006930654,0.000008377435,0.0000026086027,0.000008084015,0.0005334537,0.000035042394,0.0006933682],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955064,0.000042855372,0.00002540579,0.00008371923,0.00022546794,0.00007197467],"domain_scores_gemma":[0.9985104,0.0006707511,0.00016542457,0.00016941583,0.00042899483,0.000054983226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033358045,0.00038010368,0.00034694356,0.0010251963,0.0002668114,0.0003551832,0.0006708017,0.000604072,0.005150321],"category_scores_gemma":[0.0017978204,0.00028942703,0.00031997444,0.0009677809,0.0005031284,0.0008138674,0.00039644327,0.0004313261,0.0012308852],"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":[0.0010474664,0.0002363801,0.012404884,0.00020257127,0.000035926343,0.000382649,0.00034872635,0.023391562,0.9267291,0.0007289809,0.0010285343,0.033463206],"study_design_scores_gemma":[0.000066109016,0.0014818228,0.13918541,0.000047993566,0.00012732376,0.00095823605,0.00052053,0.11980313,0.733784,0.00062775443,0.0032220513,0.00017549291],"about_ca_topic_score_codex":0.001983235,"about_ca_topic_score_gemma":0.0037428678,"teacher_disagreement_score":0.005150321,"about_ca_system_score_codex":0.00025991147,"about_ca_system_score_gemma":0.0002546068,"threshold_uncertainty_score":0.017229557},"labels":[],"label_agreement":null},{"id":"W2204219700","doi":"10.1016/j.jfranklin.2015.05.029","title":"Special issue on advances in nonlinear dynamics and control","year":2015,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Chaos control and synchronization","field":"Physics and Astronomy","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 Waterloo","funders":"","keywords":"Differentiable function; Dimension (graph theory); Scaling; Chaotic; Synchronization (alternating current); Nonlinear system; Function (biology); Lorenz system; State (computer science); Mathematics; Applied mathematics; Control theory (sociology); Computer science; Pure mathematics; Topology (electrical circuits); Control (management); Algorithm; Physics; Quantum mechanics","score_opus":0.006409070924636216,"score_gpt":0.2368570962247584,"score_spread":0.23044802530012218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204219700","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006839196,0.031655215,0.0012971249,0.015556767,0.88309467,0.00009175499,0.0004305926,0.00022576601,0.0669641],"genre_scores_gemma":[0.0036175728,0.020256212,0.0006507217,0.0031932595,0.815529,0.00008631957,0.0005243472,0.00022762401,0.15591492],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820673,0.00017561876,0.00015300616,0.0003211975,0.0009383997,0.00020502231],"domain_scores_gemma":[0.9953875,0.0010299822,0.00038106184,0.00038183868,0.0014396107,0.0013801112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002485976,0.003193544,0.0035875088,0.005381532,0.0018469327,0.0056286743,0.0020181464,0.004063982,0.097532764],"category_scores_gemma":[0.0044406448,0.0006817465,0.0014604205,0.0018687102,0.0012685028,0.0033330147,0.0022618985,0.0035719494,0.031026755],"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":[0.00006925285,0.00006295785,0.00016340289,0.00048584194,0.000033512577,0.00009798552,0.000017930157,0.00018798394,0.00038637943,0.0059751435,0.955488,0.037031543],"study_design_scores_gemma":[0.000024742983,0.0000945124,0.00084605836,0.00020783876,0.00003769384,0.00017586286,0.000019808323,0.0004963528,0.00018385523,0.0055528185,0.99234515,0.00001533585],"about_ca_topic_score_codex":0.00058243965,"about_ca_topic_score_gemma":0.0020246694,"teacher_disagreement_score":0.097532764,"about_ca_system_score_codex":0.0018491853,"about_ca_system_score_gemma":0.0021870795,"threshold_uncertainty_score":0.32627958},"labels":[],"label_agreement":null},{"id":"W2284475787","doi":"10.1016/j.jfranklin.2016.02.001","title":"Recursive estimation for Markov jump linear systems with unknown transition probabilities: A compensation approach","year":2016,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Target Tracking and Data Fusion in Sensor Networks","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":"National Natural Science Foundation of China","keywords":"Estimator; Kalman filter; Jump; Compensation (psychology); Residual; Computer science; Control theory (sociology); Mathematics; Algorithm; Markov chain; Minimum mean square error; Markov model; Artificial intelligence; Statistics; Control (management)","score_opus":0.0167042427813876,"score_gpt":0.22778375594131234,"score_spread":0.21107951315992474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284475787","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":[0.0036542169,0.00013600987,0.99565434,0.00008289746,0.000021150074,0.000009012472,0.00001093862,0.00008663329,0.0003447688],"genre_scores_gemma":[0.63062954,0.00092060183,0.35878605,0.00021818001,0.00023874974,0.00019471826,0.00027930408,0.00014087067,0.008592008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999405,0.00019018838,0.00003815863,0.00014537317,0.00015289632,0.000068397596],"domain_scores_gemma":[0.99763525,0.0017330182,0.00017212816,0.00015315045,0.0002683441,0.000038163522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013746258,0.0008618507,0.0011543917,0.0005511349,0.00046158058,0.0008713798,0.0011588875,0.0014475425,0.0018387632],"category_scores_gemma":[0.006216807,0.0008589468,0.00088454265,0.00058965065,0.000850494,0.001426283,0.0011513721,0.001421751,0.00036694744],"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":[0.00011487871,0.000077448014,0.0007220553,0.00015150633,0.00010477756,0.00010491054,0.0001287834,0.8503196,0.0043861647,0.03977726,0.0011263255,0.10298627],"study_design_scores_gemma":[0.000004826103,0.000009365161,0.0001388124,0.0000045610163,0.000009210203,0.000011448071,0.0000029587056,0.99513584,0.00039014153,0.004084029,0.00020152563,0.000007339682],"about_ca_topic_score_codex":0.0084715905,"about_ca_topic_score_gemma":0.009203046,"teacher_disagreement_score":0.0084715905,"about_ca_system_score_codex":0.0007303965,"about_ca_system_score_gemma":0.0016651129,"threshold_uncertainty_score":0.016844511},"labels":[],"label_agreement":null},{"id":"W2334339248","doi":"10.1016/j.jfranklin.2016.03.014","title":"Analysis and synthesis of input strictly passive gain-scheduled controllers","year":2016,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Stability and Control of Uncertain Systems","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gain scheduling; Control theory (sociology); Passivity; Scheduling (production processes); Computer science; Automatic gain control; Nonlinear system; Bounded function; Controller (irrigation); Control engineering; Mathematical optimization; Engineering; Mathematics; Control (management); Bandwidth (computing)","score_opus":0.006863579519840962,"score_gpt":0.1963049610124971,"score_spread":0.18944138149265613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334339248","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":[0.017585304,0.00021837103,0.973265,0.00007625414,0.000056706074,0.00005202878,0.00004284058,0.00024121406,0.008462288],"genre_scores_gemma":[0.93499106,0.00032105882,0.05918292,0.000060064223,0.00003336039,0.00013926794,0.000092295995,0.00005898393,0.0051210467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99983966,0.000023160781,0.0000091451275,0.0000269834,0.00008070434,0.00002027469],"domain_scores_gemma":[0.99966764,0.00016653443,0.00004757238,0.000023900986,0.00008612988,0.00000825629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000410913,0.00076386787,0.00048634273,0.00033665518,0.0003363475,0.0011144074,0.0005574235,0.00055726385,0.003267165],"category_scores_gemma":[0.0009883469,0.0003627737,0.0004488805,0.00022448077,0.00046212008,0.00037440687,0.00041227846,0.00058653194,0.00039945103],"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":[0.0001331578,0.00007963676,0.00023490719,0.00028991775,0.00004067983,0.00020047849,0.00019517979,0.82802045,0.03625059,0.07392825,0.0009763058,0.05965045],"study_design_scores_gemma":[0.000012791486,0.000059756163,0.0000974684,0.0000104183055,0.000010566165,0.00001550864,0.000008207236,0.9898671,0.0032926835,0.005978461,0.00064191077,0.0000051746442],"about_ca_topic_score_codex":0.0024768158,"about_ca_topic_score_gemma":0.002925085,"teacher_disagreement_score":0.003267165,"about_ca_system_score_codex":0.0005602583,"about_ca_system_score_gemma":0.0008943634,"threshold_uncertainty_score":0.010929763},"labels":[],"label_agreement":null},{"id":"W2533005128","doi":"10.1016/j.jfranklin.2016.10.014","title":"Discrete-time consensus strategy for a class of high-order linear multiagent systems under stochastic communication topologies","year":2016,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","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":"Network topology; Consensus; Multi-agent system; Computer science; Protocol (science); Discrete time and continuous time; Class (philosophy); Mathematical optimization; Set (abstract data type); Topology (electrical circuits); Order (exchange); Distributed computing; Mathematics; Computer network; Artificial intelligence","score_opus":0.03410171097240233,"score_gpt":0.2815524195197168,"score_spread":0.2474507085473145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533005128","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":[0.23489328,0.00029037875,0.7533667,0.00086286507,0.000081464335,0.00008813579,0.00014147072,0.00019833332,0.010077405],"genre_scores_gemma":[0.9924621,0.00010082708,0.0053004827,0.000036151752,0.000025714198,0.00004257597,0.000052358602,0.000007963692,0.0019718667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944335,0.00015345658,0.00003066285,0.00013778143,0.00014529821,0.000089431065],"domain_scores_gemma":[0.9983051,0.00080846855,0.00035308747,0.000081312915,0.00028440333,0.00016759486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010256012,0.0007526496,0.0010326013,0.00050503685,0.00074716663,0.0015571074,0.001161791,0.0012446578,0.0011564431],"category_scores_gemma":[0.0022952633,0.00026008696,0.00057349005,0.00042755707,0.0009657297,0.001077884,0.0009987307,0.0009226684,0.00015099556],"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":[0.000111223206,0.00006829357,0.0009484707,0.00009127306,0.00007796715,0.00055745034,0.00016641735,0.8892725,0.0043534287,0.094094075,0.000935845,0.00932302],"study_design_scores_gemma":[0.000009519625,0.000025876405,0.00013398274,0.0000018458082,0.0000047865483,0.00002675309,0.000013313681,0.99200374,0.00013092974,0.0075335056,0.000111994836,0.0000037644359],"about_ca_topic_score_codex":0.0032797751,"about_ca_topic_score_gemma":0.002022929,"teacher_disagreement_score":0.0032797751,"about_ca_system_score_codex":0.0010395161,"about_ca_system_score_gemma":0.0008930818,"threshold_uncertainty_score":0.0075422525},"labels":[],"label_agreement":null},{"id":"W2556999286","doi":"10.1016/j.jfranklin.2016.10.040","title":"Event triggered model predictive control: A less conservative result","year":2016,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Control Systems Optimization","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 Victoria","funders":"","keywords":"Model predictive control; Control theory (sociology); Computer science; Stability (learning theory); SIGNAL (programming language); Computation; Optimization problem; Control (management); Control system; State (computer science); Engineering; Algorithm","score_opus":0.013150315266356162,"score_gpt":0.22105161085180622,"score_spread":0.20790129558545006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556999286","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":[0.024468811,0.0010388251,0.9403214,0.0018069049,0.0006680711,0.000071569026,0.00019867189,0.0005319058,0.030893896],"genre_scores_gemma":[0.92252284,0.0007638371,0.052492388,0.001170591,0.00041571047,0.00017936244,0.00021207046,0.00031118368,0.021932004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922764,0.00021951024,0.000031857955,0.000159589,0.00026443595,0.00009699606],"domain_scores_gemma":[0.9966047,0.0025778683,0.00012062434,0.0003966236,0.0002334153,0.00006675526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019387087,0.0016375085,0.0014412737,0.0006293404,0.0008898765,0.0019005609,0.0014916756,0.0015614622,0.010903927],"category_scores_gemma":[0.0064336415,0.0005441811,0.0011872839,0.0005672521,0.0013426719,0.003009289,0.0022688997,0.003374548,0.00059069495],"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":[0.0011316129,0.0002710291,0.0004800515,0.0005447717,0.00016649273,0.0005360505,0.00023218611,0.5812512,0.011700956,0.33652568,0.008320715,0.05883922],"study_design_scores_gemma":[0.000030507925,0.00007322953,0.000112289505,0.000018189441,0.000029506902,0.000032052354,0.000013827732,0.930132,0.0010864801,0.06757406,0.0008869143,0.000011018911],"about_ca_topic_score_codex":0.0016053711,"about_ca_topic_score_gemma":0.0013062541,"teacher_disagreement_score":0.010903927,"about_ca_system_score_codex":0.0006569977,"about_ca_system_score_gemma":0.0009999474,"threshold_uncertainty_score":0.036477268},"labels":[],"label_agreement":null},{"id":"W2557674609","doi":"10.1016/j.jfranklin.2016.11.013","title":"Bearing fault diagnosis with morphological gradient wavelet","year":2016,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":28,"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","funders":"","keywords":"Wavelet; Haar wavelet; Fault (geology); Wavelet packet decomposition; Pattern recognition (psychology); Noise (video); Algorithm; Computer science; Second-generation wavelet transform; Artificial intelligence; Lifting scheme; Bearing (navigation); Stationary wavelet transform; Vibration; SIGNAL (programming language); Wavelet transform; Discrete wavelet transform; Acoustics; Physics","score_opus":0.012450281829362688,"score_gpt":0.23878062426010777,"score_spread":0.22633034243074507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557674609","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":[0.11818339,0.0002976351,0.8793859,0.00022940573,0.000088509856,0.000024635794,0.000023099441,0.00028758426,0.0014799214],"genre_scores_gemma":[0.7548307,0.00029280855,0.2427655,0.00004912563,0.00005100055,0.00001831686,0.000049581613,0.000038416954,0.001904545],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998616,0.000025635132,0.000011095858,0.000022534876,0.0000642183,0.000014855689],"domain_scores_gemma":[0.99967754,0.00012147702,0.000039295224,0.00004342158,0.000099032026,0.000019249072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045985178,0.0003089607,0.00038105188,0.000777513,0.00017501997,0.00046663897,0.00028915785,0.0005380172,0.0006924203],"category_scores_gemma":[0.001418872,0.0002234611,0.0002843951,0.0004692294,0.00029602315,0.00082637335,0.00044495898,0.0004934229,0.00026289848],"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":[0.0007488927,0.0001431468,0.003951639,0.00015917089,0.000067747045,0.00042258282,0.00017781572,0.05329874,0.16021174,0.010977864,0.0017374664,0.7681032],"study_design_scores_gemma":[0.000024392215,0.00012466151,0.0026883485,0.000012682399,0.00003621524,0.00032003288,0.000034494657,0.95727277,0.033352353,0.0049545136,0.0011671802,0.000012370902],"about_ca_topic_score_codex":0.00037380826,"about_ca_topic_score_gemma":0.00037522445,"teacher_disagreement_score":0.000777513,"about_ca_system_score_codex":0.00012695946,"about_ca_system_score_gemma":0.0002922255,"threshold_uncertainty_score":0.002431929},"labels":[],"label_agreement":null},{"id":"W2606059557","doi":"10.1016/j.jfranklin.2017.04.004","title":"Direction of arrival tracking for signals with known waveforms based on block least squares techniques","year":2017,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","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":"Concordia University","funders":"","keywords":"Least-squares function approximation; Algorithm; Block (permutation group theory); Waveform; Sensor array; Computer science; Direction of arrival; QR decomposition; Total least squares; Tracking (education); Antenna array; Non-linear least squares; Mathematics; Estimation theory; Antenna (radio); Estimator; Statistics; Singular value decomposition; Telecommunications","score_opus":0.024631157177232358,"score_gpt":0.2896053300689138,"score_spread":0.26497417289168146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606059557","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":[0.0032002518,0.00012589307,0.99618137,0.00003141698,0.000025558295,0.0000072410953,0.00001274905,0.00011553215,0.0003000213],"genre_scores_gemma":[0.108975716,0.00082166924,0.8868784,0.00005606828,0.00006676184,0.00008775277,0.00022677529,0.00012756075,0.0027593141],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953246,0.00013194066,0.000027124084,0.00006959537,0.00020856313,0.000030341947],"domain_scores_gemma":[0.99851054,0.0006623313,0.00019105244,0.00018513482,0.00041501844,0.000035851986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077653123,0.0008220385,0.0007159205,0.00090679637,0.00036859227,0.00083420036,0.0007193287,0.0009599915,0.0012288638],"category_scores_gemma":[0.0055389847,0.0006135283,0.00046974223,0.0011811964,0.00041127016,0.0017808549,0.0007116297,0.0013820456,0.0012580071],"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":[0.00046536158,0.00012266467,0.0014347028,0.00031206568,0.00013395709,0.000093315866,0.00023238029,0.33714548,0.08624364,0.02819542,0.003280707,0.5423404],"study_design_scores_gemma":[0.0000148732415,0.000053083608,0.00041388976,0.000018739584,0.000018341285,0.00007319127,0.000015754838,0.9844683,0.007968537,0.0049261143,0.0020112416,0.000017970862],"about_ca_topic_score_codex":0.0015318926,"about_ca_topic_score_gemma":0.0022511787,"teacher_disagreement_score":0.0015318926,"about_ca_system_score_codex":0.00033491178,"about_ca_system_score_gemma":0.00094900135,"threshold_uncertainty_score":0.004110992},"labels":[],"label_agreement":null},{"id":"W2639424157","doi":"10.1016/j.jfranklin.2017.06.009","title":"A new sensor selection scheme for Bayesian learning based sparse signal recovery in WSNs","year":2017,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Sparse and Compressive Sensing Techniques","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":"Concordia University","funders":"Graduate Research and Innovation Projects of Jiangsu Province; Jiangsu University of Science and Technology; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Compressed sensing; Wireless sensor network; Overhead (engineering); Computer science; Selection (genetic algorithm); Estimator; Reduction (mathematics); Bayesian probability; SIGNAL (programming language); Algorithm; Energy (signal processing); Bayesian inference; Mathematical optimization; Machine learning; Artificial intelligence; Mathematics; Statistics","score_opus":0.02146587888860297,"score_gpt":0.25196157926871504,"score_spread":0.23049570038011208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2639424157","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":[0.002159407,0.00010452815,0.9970553,0.00006797886,0.00003943954,0.000022844233,0.000019107707,0.00008476322,0.00044659944],"genre_scores_gemma":[0.17005628,0.0004561814,0.82506377,0.00017314314,0.00014075766,0.00014492018,0.00014243998,0.00006745626,0.0037550689],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990004,0.00025517785,0.00006235215,0.0001649517,0.00045580434,0.00006140204],"domain_scores_gemma":[0.9992262,0.0002778284,0.00007892709,0.00016109527,0.00021232195,0.000043616248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011800729,0.0006339312,0.0009896717,0.0005785622,0.0005803677,0.0006463141,0.0013359147,0.0008937007,0.0015481815],"category_scores_gemma":[0.0024776445,0.0004016847,0.00053101545,0.0010628403,0.0006157485,0.0012575304,0.0016928577,0.0011082644,0.0005837765],"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":[0.00053203723,0.00020223517,0.00073092576,0.00028764803,0.00013329845,0.00020838714,0.00023465643,0.30280253,0.108108625,0.053277012,0.0063781943,0.52710444],"study_design_scores_gemma":[0.000028511206,0.00008419851,0.00018834452,0.000009214327,0.000020266274,0.00013853764,0.000012025888,0.98548514,0.006159155,0.0050274925,0.0028255305,0.000021535843],"about_ca_topic_score_codex":0.0013818016,"about_ca_topic_score_gemma":0.0031549782,"teacher_disagreement_score":0.0015481815,"about_ca_system_score_codex":0.0005505733,"about_ca_system_score_gemma":0.0009102724,"threshold_uncertainty_score":0.0062408447},"labels":[],"label_agreement":null},{"id":"W2759598203","doi":"10.1016/j.jfranklin.2017.09.019","title":"Higher-order stochastic averaging for a SDOF fractional viscoelastic system under bounded noise excitation","year":2017,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","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":"Lakehead University","funders":"","keywords":"Lyapunov exponent; Bounded function; Viscoelasticity; Mathematical analysis; Mathematics; Moment (physics); Noise (video); Second moment of area; Applied mathematics; Statistical physics; Physics; Classical mechanics; Nonlinear system; Geometry; Computer science","score_opus":0.09222700924308079,"score_gpt":0.34646625225108946,"score_spread":0.25423924300800865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759598203","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":[0.2302539,0.0005244284,0.7562104,0.00077326666,0.00016560289,0.000044996534,0.000085547355,0.00017875843,0.011763077],"genre_scores_gemma":[0.98863447,0.00021087826,0.0068691904,0.00007172876,0.000049407085,0.000021280834,0.000037787773,0.000019238285,0.0040860623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995939,0.00008390637,0.000027328857,0.00010696588,0.0001191952,0.00006874963],"domain_scores_gemma":[0.99901295,0.00042879916,0.00021363715,0.00007547354,0.00017772714,0.00009143881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009848502,0.00060560333,0.0012425001,0.0007560015,0.00074275734,0.0013899873,0.00062892516,0.0014816568,0.0015414021],"category_scores_gemma":[0.0020982698,0.00031159967,0.001047203,0.00042473376,0.0014783632,0.0011475781,0.0011728248,0.0008103201,0.00008891247],"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":[0.00011359732,0.00010873378,0.0020476019,0.000163031,0.00017314752,0.0008427651,0.00024557786,0.79707867,0.022856792,0.16359967,0.00066306663,0.012107374],"study_design_scores_gemma":[0.0000018947592,0.000015108939,0.00027961764,0.000002654291,0.0000098832315,0.00003741867,0.000007475516,0.9944988,0.00027413407,0.0047713197,0.00009308015,0.000008715154],"about_ca_topic_score_codex":0.0048814015,"about_ca_topic_score_gemma":0.003499567,"teacher_disagreement_score":0.0048814015,"about_ca_system_score_codex":0.0008757067,"about_ca_system_score_gemma":0.0009413532,"threshold_uncertainty_score":0.00970602},"labels":[],"label_agreement":null},{"id":"W2789350723","doi":"10.1016/j.jfranklin.2018.02.023","title":"An improved particle filtering-based approach for health prediction and prognosis of nonlinear systems","year":2018,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":16,"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":"Particle filter; Resampling; Nonlinear system; Mahalanobis distance; Control theory (sociology); Computer science; Term (time); Mathematical optimization; Algorithm; Kalman filter; Mathematics; Artificial intelligence","score_opus":0.014490905520431419,"score_gpt":0.24754447977706034,"score_spread":0.23305357425662893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789350723","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":[0.0070804344,0.00035992352,0.99152035,0.000098043594,0.00014907734,0.000022688318,0.000026892243,0.00019602072,0.0005465321],"genre_scores_gemma":[0.5442255,0.00097093964,0.44750676,0.0003008036,0.00048188487,0.0002322211,0.0003321551,0.000075717195,0.00587395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996693,0.000059397902,0.0000359827,0.00007395503,0.00012742431,0.000034001907],"domain_scores_gemma":[0.99936086,0.00027755758,0.000039617466,0.00005364641,0.0002418521,0.000026389615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008597428,0.00072753715,0.0013448623,0.00067909306,0.00047240502,0.0008302326,0.00092036487,0.0013137283,0.0014112573],"category_scores_gemma":[0.0019203869,0.00047363326,0.00086088834,0.0005961694,0.00034624603,0.00079333165,0.0007110423,0.0010521951,0.0005581686],"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":[0.00023660371,0.00018725579,0.0013401081,0.00017354987,0.00017914006,0.0001277249,0.00009124256,0.6343776,0.012290167,0.0047013517,0.0024740857,0.34382117],"study_design_scores_gemma":[0.0000070909277,0.000024149067,0.00022371917,0.0000032306132,0.000012289238,0.000012171342,0.0000020983643,0.9987048,0.00039856284,0.00036692494,0.00023950345,0.000005493247],"about_ca_topic_score_codex":0.011701896,"about_ca_topic_score_gemma":0.009464885,"teacher_disagreement_score":0.011701896,"about_ca_system_score_codex":0.0004326542,"about_ca_system_score_gemma":0.0011140519,"threshold_uncertainty_score":0.023267567},"labels":[],"label_agreement":null},{"id":"W2800071905","doi":"10.1016/j.jfranklin.2018.04.038","title":"Backstepping-based decentralized adaptive neural H∞ tracking control for a class of large-scale nonlinear interconnected systems","year":2018,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear 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":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Nonlinear system; Artificial neural network; Bounded function; Computer science; Tracking (education); Adaptive control; Decentralised system; Interconnection; Control engineering; Control (management); Mathematics; Engineering; Artificial intelligence","score_opus":0.019033684997100665,"score_gpt":0.25372625910336843,"score_spread":0.23469257410626776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800071905","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":[0.19695789,0.00040497255,0.791421,0.00034630336,0.0000769082,0.000064009364,0.00007020894,0.00033214982,0.010326623],"genre_scores_gemma":[0.99141324,0.00008986985,0.006165265,0.00002628281,0.00001622641,0.00004034347,0.000035213918,0.000007609932,0.002205932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984264,0.000032556116,0.000007066921,0.00003784406,0.000058692956,0.000021285783],"domain_scores_gemma":[0.99967253,0.00012019956,0.00005548796,0.000026626256,0.00010632529,0.000018779418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000381912,0.00049895496,0.00052782317,0.00018129652,0.00039067352,0.00053325604,0.0005664352,0.0005749804,0.0011799638],"category_scores_gemma":[0.0009120078,0.00018317856,0.00027048407,0.00022238477,0.00055265694,0.00036607584,0.0005074711,0.0005320196,0.00013306185],"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":[0.0001762681,0.00009817284,0.00071889505,0.00015219915,0.000055253986,0.00022215433,0.00012384837,0.9328084,0.013370829,0.0146402,0.0013292986,0.036304384],"study_design_scores_gemma":[0.000008545449,0.000035209043,0.0001832827,0.0000014689459,0.0000031060567,0.000010503216,0.0000041927824,0.99858296,0.0002567454,0.0007960496,0.00011572279,0.0000022288225],"about_ca_topic_score_codex":0.0040903245,"about_ca_topic_score_gemma":0.004735193,"teacher_disagreement_score":0.0040903245,"about_ca_system_score_codex":0.00036516262,"about_ca_system_score_gemma":0.00053985976,"threshold_uncertainty_score":0.008133054},"labels":[],"label_agreement":null},{"id":"W2808817487","doi":"10.1016/j.jfranklin.2018.05.065","title":"A cyclic pursuit framework for networked mobile agents based on vector field approach","year":2018,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","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":"Concordia University","funders":"","keywords":"Centroid; Integrator; Vector field; Polygon (computer graphics); Double integrator; Field (mathematics); Topology (electrical circuits); Computer science; Swarm behaviour; Control theory (sociology); Angular velocity; Algorithm; Multi-agent system; Mathematics; Artificial intelligence; Control (management); Physics; Geometry; Telecommunications","score_opus":0.026811147245137126,"score_gpt":0.28673276806942377,"score_spread":0.25992162082428666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808817487","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":[0.0027822661,0.00014498108,0.9950171,0.00007860302,0.000038531518,0.000014626645,0.000013596203,0.00005586241,0.0018544167],"genre_scores_gemma":[0.46084177,0.0013240557,0.5254472,0.00015076027,0.0002468429,0.00026085446,0.00016565342,0.000130905,0.011431965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996941,0.00010037042,0.000012076626,0.000045059605,0.000107735155,0.000040711104],"domain_scores_gemma":[0.99969137,0.0001254348,0.000025278467,0.000032727432,0.00008883013,0.000036478483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006387828,0.0006228043,0.00088986085,0.00060312793,0.0005395884,0.0008680335,0.0013411843,0.001046448,0.002178869],"category_scores_gemma":[0.0011480531,0.00030218472,0.00070529635,0.0008434766,0.00080611964,0.0011737702,0.0016298898,0.0012335435,0.0004668841],"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":[0.000070544214,0.000052289546,0.00019098415,0.00007996467,0.000039632905,0.00009201921,0.00008292125,0.69302344,0.0047195703,0.25039628,0.0021472855,0.04910506],"study_design_scores_gemma":[0.0000039217234,0.000021738715,0.0000130138005,0.0000024165693,0.0000032433354,0.0000091387565,0.0000054516327,0.9858721,0.00017903373,0.013182131,0.00070375024,0.0000040854134],"about_ca_topic_score_codex":0.0044675274,"about_ca_topic_score_gemma":0.0027671682,"teacher_disagreement_score":0.0044675274,"about_ca_system_score_codex":0.000612114,"about_ca_system_score_gemma":0.0012201709,"threshold_uncertainty_score":0.008882999},"labels":[],"label_agreement":null},{"id":"W2888382725","doi":"10.1016/j.jfranklin.2018.07.032","title":"Data-driven subspace predictive control: Stability and horizon tuning","year":2018,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Control Systems Optimization","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":"Toronto Metropolitan University","funders":"","keywords":"Model predictive control; Robustness (evolution); Subspace topology; Control theory (sociology); Stability (learning theory); Horizon; Computer science; Mathematical optimization; Closed loop; Mathematics; Control (management); Control engineering; Engineering; Artificial intelligence; Machine learning","score_opus":0.018181797079565725,"score_gpt":0.2369844840205689,"score_spread":0.2188026869410032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888382725","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":[0.024819385,0.00058270025,0.970951,0.0002622012,0.00012477032,0.000036981855,0.000092347,0.0002712793,0.0028592546],"genre_scores_gemma":[0.9363541,0.0003386542,0.060933728,0.000083211016,0.00007738284,0.00010988758,0.00016033257,0.00007078129,0.0018720257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964654,0.00009369446,0.000023724668,0.000071694376,0.00012781745,0.000036539383],"domain_scores_gemma":[0.99843854,0.000764014,0.00013094246,0.0001905801,0.00043547447,0.000040446223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011329883,0.00067715097,0.00088722614,0.00032453175,0.00046823142,0.0009938461,0.00081849186,0.00069203234,0.0017351626],"category_scores_gemma":[0.006203435,0.00043528498,0.00032812817,0.0004598222,0.00068473455,0.0016025405,0.0012480435,0.0012792062,0.0003220445],"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":[0.00045429324,0.00012999865,0.0005651566,0.0002826811,0.000065919325,0.000044658664,0.00011477594,0.8104723,0.0073714396,0.026514255,0.0022871573,0.15169741],"study_design_scores_gemma":[0.000007049478,0.000023351067,0.000078569115,0.0000056335243,0.0000030629992,0.0000056878,0.000004004287,0.99483454,0.0010542439,0.003750987,0.00022751318,0.0000053070153],"about_ca_topic_score_codex":0.0032870094,"about_ca_topic_score_gemma":0.0028217365,"teacher_disagreement_score":0.0032870094,"about_ca_system_score_codex":0.00041728077,"about_ca_system_score_gemma":0.0012547935,"threshold_uncertainty_score":0.0065357685},"labels":[],"label_agreement":null},{"id":"W2897192864","doi":"10.1016/j.jfranklin.2018.10.010","title":"Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control","year":2018,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Iterative Learning Control Systems","field":"Engineering","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 Alberta","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Linearization; Computer science; Nonlinear system; Affine transformation; MIMO; Iterative method; Trajectory; Feedback linearization; Algorithm; Mathematics; Mathematical optimization; Control (management); Artificial intelligence","score_opus":0.019627069498302407,"score_gpt":0.25839863413417896,"score_spread":0.23877156463587657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897192864","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":[0.02064928,0.00017408756,0.97552454,0.000111107154,0.00009529245,0.000033201435,0.000040678395,0.00028800813,0.0030837369],"genre_scores_gemma":[0.9277921,0.00013834478,0.068740174,0.00007040359,0.000033142922,0.00011231069,0.00011762921,0.000038688,0.0029570982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996772,0.000069550966,0.000025255695,0.000075450145,0.000117344156,0.00003512685],"domain_scores_gemma":[0.9992379,0.00026539085,0.00009293857,0.00007188116,0.00030447272,0.00002743557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082097854,0.00067878276,0.00071095076,0.00029605645,0.00051163964,0.000801734,0.00092262094,0.0006095341,0.0017878966],"category_scores_gemma":[0.0019390724,0.0003699677,0.0005169003,0.00034287758,0.0006009157,0.00077625754,0.0013547963,0.0008872138,0.0003646902],"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":[0.0002392616,0.00008488682,0.0008359106,0.00027093565,0.00007843608,0.00011404875,0.00022993353,0.9042433,0.012059232,0.013351046,0.0013830606,0.06711003],"study_design_scores_gemma":[0.0000056886615,0.000039811646,0.00007366307,0.0000044193916,0.0000042642,0.000009658788,0.000003640608,0.99793786,0.0009988027,0.0006858189,0.00023185559,0.000004445252],"about_ca_topic_score_codex":0.003491468,"about_ca_topic_score_gemma":0.004149462,"teacher_disagreement_score":0.003491468,"about_ca_system_score_codex":0.00048051888,"about_ca_system_score_gemma":0.0010428921,"threshold_uncertainty_score":0.006942272},"labels":[],"label_agreement":null},{"id":"W2909860276","doi":"10.1016/j.jfranklin.2019.01.019","title":"Mixed rectilinear sources localization under unknown mutual coupling","year":2019,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","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":"Concordia University","funders":"Natural Science Foundation of Ningbo Municipality; National Natural Science Foundation of China","keywords":"Coupling (piping); Range (aeronautics); Mutual information; Cramér–Rao bound; Computer science; Algorithm; Field (mathematics); Mathematics; Topology (electrical circuits); Estimation theory; Artificial intelligence; Engineering; Combinatorics","score_opus":0.019506729722482283,"score_gpt":0.24940449232402387,"score_spread":0.2298977626015416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909860276","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":[0.039481074,0.00029474258,0.9579521,0.00020042332,0.000035447298,0.0000073176143,0.00004396741,0.00011948116,0.0018655114],"genre_scores_gemma":[0.71375954,0.0008480578,0.2793189,0.00008923958,0.000096413634,0.000048928177,0.00019247223,0.00007556674,0.00557088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950385,0.0001674743,0.000020002792,0.00011108133,0.00015953969,0.000038077804],"domain_scores_gemma":[0.998919,0.00053633715,0.00022293218,0.0001248689,0.00016580014,0.00003113131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067359133,0.0008175954,0.00064174016,0.00064326584,0.00030483177,0.000925291,0.0005568924,0.0008655921,0.0008367961],"category_scores_gemma":[0.0035503372,0.000552693,0.00040491685,0.0009787313,0.0007207161,0.0016458365,0.0017512551,0.0006621381,0.00039771627],"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":[0.000918821,0.00007241582,0.0050686905,0.00030707577,0.00027444877,0.00082632207,0.0004947878,0.5647835,0.09412019,0.12323839,0.0025821186,0.20731322],"study_design_scores_gemma":[0.000018276969,0.000044037522,0.0007479517,0.000012880627,0.000032237345,0.00026285838,0.000045631525,0.97569126,0.008238252,0.013754622,0.0011248556,0.000027075364],"about_ca_topic_score_codex":0.00075557624,"about_ca_topic_score_gemma":0.0010688656,"teacher_disagreement_score":0.000925291,"about_ca_system_score_codex":0.00030093206,"about_ca_system_score_gemma":0.0004385806,"threshold_uncertainty_score":0.0035623312},"labels":[],"label_agreement":null},{"id":"W2957387704","doi":"10.1016/j.jfranklin.2019.06.043","title":"Backstepping-based decentralized bounded-H∞ adaptive neural control for a class of large-scale stochastic nonlinear systems","year":2019,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":14,"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":"University of Science and Technology Liaoning; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Backstepping; Bounded function; Control theory (sociology); Nonlinear system; Artificial neural network; Controller (irrigation); Computer science; Adaptive control; Stochastic neural network; Mathematics; Mathematical optimization; Control (management); Artificial intelligence; Recurrent neural network","score_opus":0.011657652175965861,"score_gpt":0.23283779978834468,"score_spread":0.2211801476123788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957387704","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":[0.17677939,0.0004411522,0.8138199,0.00042520903,0.00009286493,0.000063456064,0.000080286,0.00029040876,0.008007237],"genre_scores_gemma":[0.99013793,0.00011737461,0.0072183763,0.00003708303,0.000019391862,0.00004329347,0.000046783643,0.000010587729,0.0023692297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997652,0.000048922357,0.000009479563,0.000052717434,0.000090256915,0.000033345925],"domain_scores_gemma":[0.99954456,0.00018740099,0.00006961845,0.00003097714,0.00013796857,0.000029485447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056101626,0.000622189,0.0006462252,0.00020425006,0.0004474888,0.00060289144,0.00073374034,0.0007478035,0.0010929893],"category_scores_gemma":[0.0013433069,0.00023767629,0.00036172452,0.00024017229,0.0007499955,0.00041058075,0.0006636762,0.0007502389,0.00011811794],"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":[0.00012230853,0.00008676803,0.0006647186,0.000108599554,0.000053274747,0.00018269438,0.000076882476,0.9506223,0.008351924,0.015693214,0.0009978518,0.023039397],"study_design_scores_gemma":[0.000004599573,0.00001931271,0.00012214639,0.0000011542012,0.0000019153952,0.000007718416,0.0000024002634,0.99899906,0.00017849241,0.0005975441,0.00006383996,0.0000018300165],"about_ca_topic_score_codex":0.0057432475,"about_ca_topic_score_gemma":0.0061407075,"teacher_disagreement_score":0.0057432475,"about_ca_system_score_codex":0.0004973967,"about_ca_system_score_gemma":0.0009153725,"threshold_uncertainty_score":0.011419594},"labels":[],"label_agreement":null},{"id":"W2976711637","doi":"10.1016/j.jfranklin.2019.09.029","title":"Stabilization analysis for fuzzy systems with a switched sampled-data control","year":2019,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Elasticity and Wave Propagation","field":"Engineering","cited_by":73,"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":"Control theory (sociology); Fuzzy logic; Fuzzy control system; Sampled data systems; Interval (graph theory); Sampling (signal processing); Computer science; Control (management); Membership function; Sampling interval; Function (biology); Mathematics; Data mining; Control system; Artificial intelligence; Statistics; Engineering","score_opus":0.019745802189418512,"score_gpt":0.22332942774292605,"score_spread":0.20358362555350754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976711637","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":[0.0741925,0.000526821,0.9179809,0.00047720122,0.00016956315,0.00006113892,0.00010314709,0.00016714522,0.006321473],"genre_scores_gemma":[0.98773974,0.00019651715,0.00872058,0.00006255946,0.00004397739,0.00006381371,0.00005795833,0.000017553391,0.0030973356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996685,0.00009294591,0.000019473866,0.00007976384,0.00010178433,0.000037616737],"domain_scores_gemma":[0.99902713,0.0005286644,0.00009304169,0.00004712503,0.00027705822,0.000027019749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011862563,0.0008583496,0.0007133734,0.00058566604,0.00035792685,0.0012242316,0.00061722304,0.00081756077,0.003094438],"category_scores_gemma":[0.0023594731,0.00023986655,0.0007865806,0.00033122083,0.0009946579,0.00078133517,0.000754872,0.0008136014,0.0001558664],"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":[0.00042927908,0.00011020747,0.0008994061,0.00032284515,0.00017336928,0.00016117391,0.0002136016,0.887694,0.010272246,0.06512054,0.0010245487,0.033578783],"study_design_scores_gemma":[0.000011190099,0.00004832438,0.00015212403,0.0000056504923,0.000012669309,0.0000061523624,0.0000112386,0.9940469,0.00047622458,0.0051004807,0.00012445188,0.0000045346897],"about_ca_topic_score_codex":0.007256791,"about_ca_topic_score_gemma":0.0035630388,"teacher_disagreement_score":0.007256791,"about_ca_system_score_codex":0.0012516285,"about_ca_system_score_gemma":0.0008907541,"threshold_uncertainty_score":0.014429152},"labels":[],"label_agreement":null},{"id":"W2992240879","doi":"10.1016/j.jfranklin.2019.11.056","title":"Decentralized finite-time adaptive fault-tolerant synchronization tracking control for multiple UAVs with prescribed performance","year":2019,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":91,"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; National Natural Science Foundation of China","keywords":"Differentiator; Control theory (sociology); Computer science; Synchronization (alternating current); Tracking error; Actuator; Fault tolerance; Controller (irrigation); Tracking (education); Bounded function; Control engineering; Control (management); Engineering; Mathematics; Distributed computing; Artificial intelligence; Bandwidth (computing); Channel (broadcasting)","score_opus":0.009933976583574651,"score_gpt":0.19491240606580415,"score_spread":0.1849784294822295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992240879","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":[0.21373259,0.00014711857,0.78075397,0.00030755153,0.00009072567,0.00004748336,0.000055133853,0.0002399123,0.004625573],"genre_scores_gemma":[0.9947596,0.000021600552,0.0044451794,0.000015125807,0.000008125105,0.000031299878,0.000017509567,0.00000496421,0.0006964075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960977,0.00008537256,0.000021772066,0.000096433236,0.0001232423,0.000063386346],"domain_scores_gemma":[0.9989334,0.00038735598,0.0002992857,0.0000831639,0.00024131905,0.000055631783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005836469,0.00062706735,0.0006515051,0.00027322158,0.00051861233,0.00067027163,0.0008192483,0.000742418,0.0008333677],"category_scores_gemma":[0.0021048707,0.00023950046,0.00033763787,0.0002673872,0.00075019064,0.0005482921,0.0010344189,0.0005431302,0.00012504063],"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":[0.00025441768,0.000052215295,0.00069273054,0.00009346116,0.000041423333,0.00013607366,0.00013913379,0.9611451,0.012098528,0.0089379195,0.00044802163,0.015961066],"study_design_scores_gemma":[0.000018549044,0.000071867806,0.00019968647,0.0000028640316,0.0000047701074,0.000008468253,0.0000075246994,0.99789244,0.0007333138,0.0009797245,0.00007767191,0.0000032119744],"about_ca_topic_score_codex":0.0039145374,"about_ca_topic_score_gemma":0.0028937042,"teacher_disagreement_score":0.0039145374,"about_ca_system_score_codex":0.00077432697,"about_ca_system_score_gemma":0.00083011587,"threshold_uncertainty_score":0.0077834725},"labels":[],"label_agreement":null},{"id":"W2992450457","doi":"10.1016/j.jfranklin.2019.11.077","title":"Adaptive output-feedback time-varying formation tracking control for multi-agent systems with switching directed networks","year":2019,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":43,"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; Multi-agent system; Controller (irrigation); Nonlinear system; Tracking (education); Stability (learning theory); Control (management); Lyapunov function; Lyapunov stability; Artificial intelligence","score_opus":0.02609756996839924,"score_gpt":0.2357798248837969,"score_spread":0.20968225491539766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992450457","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":[0.07522477,0.0003026601,0.91742533,0.00031221323,0.00017583069,0.0000595652,0.000046442146,0.0002950271,0.0061581386],"genre_scores_gemma":[0.98748916,0.00010055461,0.009981069,0.000046130208,0.000022326307,0.0000528141,0.000029058021,0.000010665389,0.0022682312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970645,0.00007343767,0.000015997512,0.00008172666,0.00007777846,0.000044514516],"domain_scores_gemma":[0.9992436,0.00033778866,0.00015178444,0.000042792635,0.00018581255,0.00003823227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069629704,0.0006654559,0.00054132496,0.00035957122,0.00043435424,0.00081434456,0.00087077933,0.0006354967,0.0010814458],"category_scores_gemma":[0.0018965553,0.00028922566,0.0003908633,0.000381999,0.0007312267,0.000525007,0.00094210106,0.0006805638,0.00016350149],"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":[0.00013826368,0.00006454219,0.00047969096,0.000068710964,0.000044647713,0.00007411034,0.00009831705,0.9576372,0.004681388,0.008268408,0.0006131124,0.027831582],"study_design_scores_gemma":[0.000010864097,0.000037330075,0.000110162604,0.0000022710358,0.000005503609,0.0000059196377,0.0000045814536,0.9983011,0.0003342928,0.0010324299,0.00015298721,0.0000026116038],"about_ca_topic_score_codex":0.007295474,"about_ca_topic_score_gemma":0.0064525944,"teacher_disagreement_score":0.007295474,"about_ca_system_score_codex":0.00080594386,"about_ca_system_score_gemma":0.0006803676,"threshold_uncertainty_score":0.014505982},"labels":[],"label_agreement":null},{"id":"W2993302253","doi":"10.1016/j.jfranklin.2019.11.069","title":"Fixed-time consensus for uncertain multi-agent systems with actuator faults","year":2019,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","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":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Actuator; Consensus; Tracking (education); Singularity; Scheme (mathematics); Computer science; Multi-agent system; Upper and lower bounds; Euler's formula; Discrete time and continuous time; Control (management); Mathematics; Mathematical optimization; Artificial intelligence","score_opus":0.01878917869233907,"score_gpt":0.24362230808628346,"score_spread":0.2248331293939444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993302253","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":[0.08579842,0.00047807686,0.907495,0.00045677726,0.00019529155,0.000059296457,0.000074705174,0.00021701596,0.005225311],"genre_scores_gemma":[0.9829827,0.00015148347,0.014676669,0.000035176028,0.000043259253,0.000068453686,0.00007272396,0.000020729152,0.0019487747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991585,0.00021192484,0.0000645467,0.00022939048,0.00022931962,0.00010631503],"domain_scores_gemma":[0.9974432,0.0014133481,0.0003609904,0.0001680094,0.00051696127,0.00009749833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012966847,0.00090863905,0.0012287274,0.000685869,0.000854228,0.0013185159,0.0014693281,0.001315594,0.001441982],"category_scores_gemma":[0.005049454,0.0004479704,0.00073280255,0.0006205613,0.001348883,0.0013821904,0.00138473,0.0012108703,0.00018315653],"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":[0.00013582763,0.000028843104,0.0003375091,0.00009098786,0.00006229451,0.00019729038,0.00013707609,0.96455306,0.0021879477,0.017215986,0.0004814497,0.014571776],"study_design_scores_gemma":[0.00001647226,0.000039259397,0.00015216353,0.0000042955994,0.000009082282,0.000016063159,0.000015871066,0.99057406,0.00042285107,0.008550746,0.00019165908,0.000007558038],"about_ca_topic_score_codex":0.008713184,"about_ca_topic_score_gemma":0.005616512,"teacher_disagreement_score":0.008713184,"about_ca_system_score_codex":0.0011635597,"about_ca_system_score_gemma":0.001317126,"threshold_uncertainty_score":0.017324924},"labels":[],"label_agreement":null},{"id":"W3035330354","doi":"10.1016/j.jfranklin.2020.05.018","title":"Distributed hunting problem of multi-quadrotor systems via bearing constraint method subject to time delays","year":2020,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","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 Defense Basic Scientific Research Program of China; National Natural Science Foundation of China","keywords":"Constraint (computer-aided design); Computer science; Bearing (navigation); Control theory (sociology); Observer (physics); Lipschitz continuity; Protocol (science); Artificial intelligence; Engineering; Mathematics; Control (management)","score_opus":0.027387218059469004,"score_gpt":0.26487356044523885,"score_spread":0.23748634238576985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035330354","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":[0.028635897,0.0006040952,0.9617547,0.00041350524,0.00011686521,0.00010499443,0.00013428365,0.00006137561,0.008174297],"genre_scores_gemma":[0.92027366,0.0007229888,0.064231016,0.00015784713,0.00015411267,0.00044132135,0.00028502257,0.00011644114,0.0136176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964535,0.000106508836,0.000014618614,0.00009597938,0.00007736787,0.000060131828],"domain_scores_gemma":[0.9984952,0.0010069028,0.00014611776,0.00004399862,0.00021619345,0.00009152286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013161477,0.0013924596,0.0021234986,0.00070030557,0.0006435651,0.0017056284,0.0013402745,0.0018805949,0.0039627277],"category_scores_gemma":[0.0024546678,0.0008207674,0.00079967204,0.0007505124,0.0012658577,0.0015195662,0.001985782,0.0014337165,0.0002806639],"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":[0.00006770946,0.000032275664,0.00026735416,0.00014568002,0.000048388014,0.00012684293,0.00006383619,0.9798449,0.001106587,0.010225882,0.00087062095,0.0071998825],"study_design_scores_gemma":[0.000011165131,0.000030375106,0.000065993205,0.0000046936693,0.0000062068802,0.000010317218,0.00001732538,0.9973074,0.00009893508,0.0022341646,0.0002093625,0.0000040714795],"about_ca_topic_score_codex":0.0072224755,"about_ca_topic_score_gemma":0.0049749115,"teacher_disagreement_score":0.0072224755,"about_ca_system_score_codex":0.00088268414,"about_ca_system_score_gemma":0.001339401,"threshold_uncertainty_score":0.014360845},"labels":[],"label_agreement":null},{"id":"W3084071890","doi":"10.1016/j.jfranklin.2020.09.001","title":"Continuous PID-SMC based on improved EHGO for robot manipulators with limited state measurements","year":2020,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","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":"York University","funders":"China Scholarship Council","keywords":"Control theory (sociology); PID controller; Sliding mode control; Computer science; Lyapunov stability; Singular perturbation; Convergence (economics); Control engineering; Lyapunov function; State observer; Stability (learning theory); Engineering; Mathematics; Control (management); Nonlinear system; Artificial intelligence; Physics; Temperature control","score_opus":0.04079231953017787,"score_gpt":0.22265081166322892,"score_spread":0.18185849213305105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084071890","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":[0.062412716,0.000658936,0.93080145,0.000083476436,0.00015226398,0.00003593507,0.000032175027,0.000501119,0.005321938],"genre_scores_gemma":[0.939511,0.0001497012,0.056019053,0.000044865494,0.000044604058,0.00006033951,0.000049036866,0.000019353762,0.004102059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970454,0.00005225859,0.000017084765,0.00006528269,0.00012778954,0.000033151468],"domain_scores_gemma":[0.9996854,0.00010869295,0.000027840111,0.000052934836,0.00011144384,0.000013675646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047702424,0.0003858419,0.0006274541,0.00026705803,0.00029288878,0.00051505724,0.00067756866,0.0005758066,0.0016672029],"category_scores_gemma":[0.0007490652,0.000228717,0.0003243372,0.0002205523,0.0003907778,0.00044534658,0.0006871524,0.0005086016,0.00031100283],"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":[0.0012616225,0.00023929586,0.0027871598,0.00074615015,0.00018233617,0.00045674012,0.00034636882,0.4763826,0.094067305,0.0132063385,0.0017054953,0.4086185],"study_design_scores_gemma":[0.00003592115,0.00017393948,0.0010411353,0.000012422581,0.000025640467,0.00004394374,0.000011902339,0.9924906,0.0039651142,0.00096841867,0.0012198339,0.000011071623],"about_ca_topic_score_codex":0.0019617856,"about_ca_topic_score_gemma":0.0037810132,"teacher_disagreement_score":0.0019617856,"about_ca_system_score_codex":0.00019474405,"about_ca_system_score_gemma":0.0003769856,"threshold_uncertainty_score":0.005577326},"labels":[],"label_agreement":null},{"id":"W3089121886","doi":"10.1016/j.jfranklin.2020.09.018","title":"Stabilization of supply networks with a varying manager-reaction time delay","year":2020,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","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":"Wilfrid Laurier University","funders":"National Natural Science Foundation of China","keywords":"Business; Computer science; Control theory (sociology); Control (management); Artificial intelligence","score_opus":0.010766635972598693,"score_gpt":0.20205565241311654,"score_spread":0.19128901644051785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089121886","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":[0.4125424,0.00049605797,0.5770143,0.0017804054,0.0002038497,0.000077463206,0.00020964393,0.00040064644,0.0072752535],"genre_scores_gemma":[0.99238354,0.00010643958,0.004134213,0.0000444812,0.000026477932,0.000022956845,0.0000306555,0.000020468793,0.0032307354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946934,0.00017565637,0.000016816764,0.00015006255,0.000060679053,0.00012757075],"domain_scores_gemma":[0.99428743,0.003822845,0.00079573214,0.00013809552,0.0006452651,0.00031066456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018337021,0.00057178666,0.0010658599,0.0006945298,0.00066486915,0.0014090515,0.001108293,0.0012704434,0.0026210644],"category_scores_gemma":[0.0089848,0.00058032176,0.0004879311,0.00052227906,0.0012939114,0.0012166447,0.0010791838,0.00096160447,0.00021528969],"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":[0.0002777467,0.000053061638,0.00085793977,0.000048182086,0.000036544632,0.00009733764,0.00009966255,0.9637306,0.004328655,0.025014525,0.00088470866,0.0045710555],"study_design_scores_gemma":[0.000011502333,0.000026172986,0.0001450698,0.00000255816,0.000006346494,0.0000050640033,0.000016885886,0.99639446,0.00024621046,0.0030549986,0.000086565255,0.0000042006045],"about_ca_topic_score_codex":0.0075455736,"about_ca_topic_score_gemma":0.0043216217,"teacher_disagreement_score":0.0075455736,"about_ca_system_score_codex":0.0023115561,"about_ca_system_score_gemma":0.0012386687,"threshold_uncertainty_score":0.016771615},"labels":[],"label_agreement":null},{"id":"W3092682343","doi":"10.1016/j.jfranklin.2020.09.047","title":"Adoption of hybrid time series neural network in the underwater acoustic signal modulation identification","year":2020,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":37,"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":"Polit National Laboratory for Marine Science and Technology; Chinese Academy of Medical Sciences","keywords":"Computer science; SIGNAL (programming language); Artificial neural network; Modulation (music); Underwater acoustic communication; Interference (communication); Identification (biology); Series (stratigraphy); Underwater; Artificial intelligence; Deep learning; Pattern recognition (psychology); Speech recognition; Channel (broadcasting); Telecommunications; Acoustics","score_opus":0.0263174013326708,"score_gpt":0.232521066950891,"score_spread":0.2062036656182202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092682343","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":[0.11297418,0.0010643854,0.8802206,0.00035931505,0.00023871349,0.0000447828,0.00004903848,0.00044379092,0.0046052174],"genre_scores_gemma":[0.90332514,0.00040414624,0.09260375,0.00010463673,0.00008465107,0.000036505007,0.0000714116,0.000023670635,0.003346063],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973744,0.00008281887,0.000020148625,0.0000612288,0.000076472454,0.000021898171],"domain_scores_gemma":[0.9995365,0.00015061836,0.000028539127,0.000042649564,0.00022568183,0.000016025298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006898814,0.00033011247,0.00028278338,0.0003141084,0.0002234982,0.0004800942,0.0004237268,0.0005701567,0.00081420294],"category_scores_gemma":[0.0012977947,0.00013600716,0.00027189034,0.00039324947,0.00020866294,0.00074501266,0.00037057305,0.00048816417,0.00027853003],"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":[0.00031082085,0.00027598088,0.0064635854,0.00012683534,0.00019452377,0.00017015537,0.00009044161,0.28040266,0.05488303,0.01053954,0.0015805067,0.64496183],"study_design_scores_gemma":[0.0000028918726,0.000049890918,0.0007353615,0.000003935389,0.000016680397,0.000026696358,0.000007824298,0.99400383,0.003972181,0.00064654934,0.0005289056,0.0000051618586],"about_ca_topic_score_codex":0.0024956795,"about_ca_topic_score_gemma":0.0034410148,"teacher_disagreement_score":0.0024956795,"about_ca_system_score_codex":0.00024371943,"about_ca_system_score_gemma":0.00035118658,"threshold_uncertainty_score":0.0049623847},"labels":[],"label_agreement":null},{"id":"W3132131652","doi":"10.1016/j.jfranklin.2021.02.015","title":"Convergent under-approximations of reachable sets and tubes: A piecewise constant approach","year":2021,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Optimization and Variational Analysis","field":"Computer Science","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 Waterloo","funders":"","keywords":"Piecewise; Constant (computer programming); Mathematics; Applied mathematics; Mathematical analysis; Mathematical optimization; Computer science","score_opus":0.02095563314685304,"score_gpt":0.23925266442724405,"score_spread":0.21829703128039102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132131652","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":[0.039275944,0.00045724405,0.95059186,0.0002875484,0.00005061165,0.000051822546,0.000119743905,0.00015196062,0.009013253],"genre_scores_gemma":[0.7000355,0.0013029955,0.2777197,0.00019858665,0.00014802685,0.00021027385,0.00038563466,0.0005418113,0.019457422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99903524,0.00040361876,0.000044187804,0.00016253113,0.0002416412,0.000112786634],"domain_scores_gemma":[0.9946296,0.0033477023,0.0005079411,0.00044480097,0.0007063836,0.0003634198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002632812,0.0017121035,0.0016805425,0.0027140845,0.0011483036,0.0027781865,0.003698784,0.0017357648,0.0036503302],"category_scores_gemma":[0.014288817,0.0012736323,0.0017393758,0.001331864,0.002574741,0.003608189,0.0045360927,0.0038351608,0.00036292936],"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":[0.00015196178,0.000067396686,0.0011280456,0.0002513026,0.00006418868,0.00018990783,0.00046278152,0.3261893,0.003489955,0.64434516,0.0009848039,0.022675185],"study_design_scores_gemma":[0.000004658641,0.000044106855,0.00013047695,0.000040074432,0.000024100113,0.0000403701,0.000067222994,0.90935373,0.0007267377,0.08851533,0.0010392767,0.000013936519],"about_ca_topic_score_codex":0.005841027,"about_ca_topic_score_gemma":0.003739106,"teacher_disagreement_score":0.005841027,"about_ca_system_score_codex":0.002666805,"about_ca_system_score_gemma":0.0013399675,"threshold_uncertainty_score":0.019349098},"labels":[],"label_agreement":null},{"id":"W3197385921","doi":"10.1016/j.jfranklin.2021.07.056","title":"Advances on modeling and control of semi-Markovian switching systems: A Survey","year":2021,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Taishan Scholar Project of Shandong Province; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Computer science; Control (management); Markov process; Stability (learning theory); Filter (signal processing); Control system; Engineering; Artificial intelligence; Mathematics; Machine learning","score_opus":0.01332985474072927,"score_gpt":0.21747625498830514,"score_spread":0.20414640024757588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197385921","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":[0.008318489,0.31793612,0.65779454,0.0017006388,0.0006542811,0.00004409224,0.00030997352,0.00030150035,0.012940295],"genre_scores_gemma":[0.2074294,0.6380647,0.1439526,0.00071138015,0.002881476,0.00012533511,0.001148519,0.00012919852,0.005557467],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992717,0.00013469101,0.0000797128,0.00016154355,0.000304454,0.00004790128],"domain_scores_gemma":[0.9987962,0.00073004485,0.00007709395,0.00012835195,0.00022990312,0.000038385726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015040053,0.0012558611,0.0019125873,0.0014259476,0.00033971804,0.001956476,0.0016849866,0.0011295629,0.0017897987],"category_scores_gemma":[0.0021484504,0.0007008286,0.0011067458,0.0032220127,0.0007169231,0.0027112516,0.0010564649,0.0017801878,0.0008618219],"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":[0.000109669956,0.00023016435,0.0020515567,0.0035933615,0.00021103995,0.00014879268,0.00023081929,0.1882453,0.003178535,0.23146921,0.0077545024,0.56277704],"study_design_scores_gemma":[0.000025639474,0.00025385336,0.0013545904,0.0007737669,0.0001722405,0.00034975447,0.00013887681,0.628206,0.0022044312,0.22579749,0.14063843,0.00008488624],"about_ca_topic_score_codex":0.0030959991,"about_ca_topic_score_gemma":0.0022211168,"teacher_disagreement_score":0.0030959991,"about_ca_system_score_codex":0.00089343544,"about_ca_system_score_gemma":0.0013354117,"threshold_uncertainty_score":0.007954001},"labels":[],"label_agreement":null},{"id":"W4285678450","doi":"10.1016/j.jfranklin.2022.07.015","title":"Hierarchical estimation of vehicle state and tire forces for distributed in-wheel motor drive electric vehicle without previously established tire model","year":2022,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","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":"Concordia University","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"CarSim; Estimator; Control theory (sociology); Tire balance; Observer (physics); Slip angle; Nonlinear system; Torque; Electric vehicle; Vehicle dynamics; Engineering; Computer science; Automotive engineering; Steering wheel; Mathematics; Power (physics); Control (management)","score_opus":0.0057897240453253325,"score_gpt":0.20914851807996854,"score_spread":0.20335879403464321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285678450","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":[0.30787978,0.00015063724,0.69014865,0.00006623802,0.000020583828,0.00003282715,0.000122594,0.00036653632,0.0012121306],"genre_scores_gemma":[0.9872799,0.00003235213,0.011924926,0.000008552309,0.0000072713447,0.000018400002,0.00011154053,0.0000069786597,0.0006101301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983656,0.000021130947,0.000008992685,0.00005691715,0.000037283102,0.00003906788],"domain_scores_gemma":[0.99964607,0.00012666218,0.000056723868,0.00005634877,0.00009226381,0.000021920721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026933095,0.00058388815,0.0007426933,0.0003182977,0.00043348645,0.00033842388,0.000576659,0.0005576135,0.0006450336],"category_scores_gemma":[0.0008631389,0.0005172108,0.00046070514,0.0002079854,0.00029524072,0.0006576997,0.00063096045,0.00046999464,0.00018567099],"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":[0.0001907545,0.00010973934,0.004119181,0.000066934816,0.0000562872,0.00009239066,0.00009200361,0.93103325,0.010850238,0.0009821294,0.00028326057,0.052123815],"study_design_scores_gemma":[0.0000034656487,0.000017640967,0.0009935402,9.914668e-7,0.00000425641,0.0000033890656,0.000007247161,0.99822503,0.00047749272,0.00023544002,0.000029089226,0.0000024997935],"about_ca_topic_score_codex":0.019123772,"about_ca_topic_score_gemma":0.029552942,"teacher_disagreement_score":0.019123772,"about_ca_system_score_codex":0.00041141018,"about_ca_system_score_gemma":0.0008233838,"threshold_uncertainty_score":0.038024902},"labels":[],"label_agreement":null},{"id":"W4302012974","doi":"10.1016/j.jfranklin.2023.08.044","title":"Efficient bayes inference in neural networks through adaptive importance sampling","year":2023,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","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":"École de Technologie Supérieure","funders":"Army Research Office; Agence Nationale de la Recherche; Leverhulme Trust","keywords":"Computer science; Machine learning; Artificial intelligence; Curse of dimensionality; Artificial neural network; Bayes' theorem; Inference; Bayesian probability; Convergence (economics); Bayesian inference; Adaptation (eye); Bayesian network; Importance sampling; Monte Carlo method; Mathematics","score_opus":0.1356838686056046,"score_gpt":0.38337042920619624,"score_spread":0.24768656060059163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302012974","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":[0.0066910153,0.00038124545,0.99172264,0.0003215314,0.00005182404,0.000028478456,0.000031773016,0.00014211853,0.0006292575],"genre_scores_gemma":[0.44366583,0.001059175,0.5479013,0.0004375301,0.00051863876,0.0004391697,0.0004199452,0.00030968536,0.0052487347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961118,0.0023930664,0.0001677493,0.00040482034,0.00072286953,0.00019961988],"domain_scores_gemma":[0.9537176,0.042224925,0.00088278705,0.001229935,0.0015182103,0.0004265178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008833203,0.001015215,0.0027296336,0.0017706975,0.0009674172,0.0020979983,0.0028900523,0.0020895894,0.0033138648],"category_scores_gemma":[0.053489763,0.0020745934,0.0010933888,0.001385073,0.002942182,0.004192291,0.002893374,0.004698004,0.00051710807],"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":[0.00018126881,0.00012845563,0.0012971511,0.00017649683,0.0001446322,0.00007231482,0.00011399863,0.80735064,0.0005653665,0.13437977,0.0021182178,0.05347167],"study_design_scores_gemma":[0.000015286967,0.00000568703,0.0000670366,0.000010365621,0.0000066209204,0.0000062152667,0.0000031569673,0.9459612,0.00011711656,0.053668216,0.00013411981,0.0000049889613],"about_ca_topic_score_codex":0.009380531,"about_ca_topic_score_gemma":0.011957531,"teacher_disagreement_score":0.009380531,"about_ca_system_score_codex":0.0022075935,"about_ca_system_score_gemma":0.0030273702,"threshold_uncertainty_score":0.04671496},"labels":[],"label_agreement":null},{"id":"W4320038642","doi":"10.1016/j.jfranklin.2023.02.008","title":"Controller design for discrete-time nonlinear feed-forward cascades with application to bacterial quorum sensing","year":2023,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","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":"McGill University","funders":"","keywords":"Control theory (sociology); Cascade; Nonlinear system; Lyapunov function; Exponential stability; Discretization; Controller (irrigation); Computer science; Stability (learning theory); Mathematics; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.01150392175967347,"score_gpt":0.2521115530684574,"score_spread":0.24060763130878393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320038642","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":[0.01656517,0.0004655124,0.97620094,0.00023100378,0.00016824936,0.00012303729,0.0000312859,0.00022932746,0.005985489],"genre_scores_gemma":[0.92037946,0.00053987914,0.07404782,0.0001171648,0.000067721114,0.00032170472,0.000055149154,0.00003764434,0.0044335276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995227,0.000091002,0.000031670792,0.000117891635,0.00018916192,0.00004754467],"domain_scores_gemma":[0.99904364,0.00045038448,0.000104878134,0.000035064502,0.00034220814,0.000023761428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013301135,0.0011958691,0.00090465747,0.00032887512,0.00058792945,0.0015425304,0.001093134,0.0015086562,0.0029279052],"category_scores_gemma":[0.0021939676,0.00045950996,0.0006694538,0.00027491665,0.00082692713,0.00053702196,0.0009247189,0.0011829737,0.00044166725],"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":[0.00028526082,0.00018127802,0.0003573106,0.00054507825,0.00009941765,0.0002264936,0.00032660417,0.87585473,0.03289398,0.012626115,0.0009859877,0.07561771],"study_design_scores_gemma":[0.000024305302,0.00011043177,0.000059453432,0.000009818516,0.000015275997,0.000012654878,0.000010192286,0.9959228,0.0024458305,0.0009037689,0.00047821246,0.0000072190087],"about_ca_topic_score_codex":0.0041890214,"about_ca_topic_score_gemma":0.005081042,"teacher_disagreement_score":0.0041890214,"about_ca_system_score_codex":0.0006763477,"about_ca_system_score_gemma":0.0010102508,"threshold_uncertainty_score":0.009794772},"labels":[],"label_agreement":null},{"id":"W4365458679","doi":"10.1016/j.jfranklin.2023.03.059","title":"Observer-based adaptive dynamic surface control of time-delayed non-strict systems with input nonlinearities","year":2023,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","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":"University of Windsor","funders":"","keywords":"Control theory (sociology); Observer (physics); Bounded function; Nonlinear system; Controller (irrigation); Backstepping; Computer science; Fuzzy logic; Lyapunov function; Stability (learning theory); Adaptive control; Control (management); Mathematics; Artificial intelligence","score_opus":0.010882177565553685,"score_gpt":0.20720781746474684,"score_spread":0.19632563989919316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365458679","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":[0.083399,0.0002120033,0.9119342,0.00013175655,0.00015345601,0.00003254933,0.000025138,0.0003210557,0.0037909027],"genre_scores_gemma":[0.98929065,0.000091244416,0.008381767,0.000020644387,0.000017120496,0.000034140547,0.00003358814,0.000015028066,0.0021158822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986255,0.000030653806,0.0000095668065,0.00003045252,0.00004211744,0.00002472792],"domain_scores_gemma":[0.99959284,0.00015379746,0.000052562475,0.000030676703,0.00015296793,0.000017139253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042959774,0.00047474433,0.0007734022,0.00023423227,0.00023309852,0.0009023998,0.0005301741,0.00060367346,0.001298914],"category_scores_gemma":[0.00089398975,0.00022171784,0.0003809199,0.00022551761,0.00054795906,0.0005275239,0.0006658784,0.00066752435,0.00016338522],"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":[0.00049704325,0.00009001265,0.00097330834,0.00025008974,0.00009046282,0.00017673559,0.00030611086,0.8732709,0.028644605,0.014246615,0.0013323659,0.08012179],"study_design_scores_gemma":[0.000009574915,0.000047619033,0.00012189739,0.0000023668406,0.0000035844891,0.0000037856612,0.000005323543,0.9985012,0.0006978293,0.0004289886,0.00017526193,0.0000026009088],"about_ca_topic_score_codex":0.0052613365,"about_ca_topic_score_gemma":0.003837276,"teacher_disagreement_score":0.0052613365,"about_ca_system_score_codex":0.00032354347,"about_ca_system_score_gemma":0.00047647476,"threshold_uncertainty_score":0.01046139},"labels":[],"label_agreement":null},{"id":"W4381384260","doi":"10.1016/j.jfranklin.2023.06.022","title":"Barrier function-based prescribed-performance adaptive attitude tracking control for spacecraft with uncertainties","year":2023,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":16,"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":"Sichuan Province Science and Technology Support Program","keywords":"Control theory (sociology); Spacecraft; Convergence (economics); Compensation (psychology); Attitude control; Tracking (education); Function (biology); Bounded function; Adaptive control; Disturbance (geology); Computer science; Control (management); Control engineering; Engineering; Mathematics; Aerospace engineering; Artificial intelligence","score_opus":0.02004077403805053,"score_gpt":0.22093959656237414,"score_spread":0.20089882252432362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381384260","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":[0.06219243,0.00033512467,0.9318458,0.0001723359,0.00009530961,0.000021881713,0.000026854817,0.0002933781,0.0050169234],"genre_scores_gemma":[0.9859655,0.00009951616,0.012039787,0.000038807862,0.0000161845,0.00004271586,0.000031983396,0.00003110927,0.0017343112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998528,0.00003833819,0.0000060347897,0.00002091843,0.000052144507,0.000029802566],"domain_scores_gemma":[0.99960846,0.00017938345,0.00004844191,0.000019809133,0.00012301994,0.000020887208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005210238,0.0006325937,0.0007323749,0.0003324537,0.00026277016,0.00062387006,0.0007722018,0.00065285974,0.0011224989],"category_scores_gemma":[0.0012124717,0.00025050231,0.00028317972,0.00029074072,0.0005167575,0.00045095844,0.0008245921,0.0007059059,0.00020871346],"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":[0.00015196449,0.00004469917,0.0002152752,0.00007973969,0.000026580594,0.00004857322,0.000054200627,0.96298903,0.005424714,0.010372595,0.0006613487,0.019931408],"study_design_scores_gemma":[0.000004233946,0.000019438816,0.000035300367,0.000001560475,0.0000011741646,0.0000022969916,0.0000016182082,0.9991072,0.00022882178,0.000518917,0.00007815241,0.0000013284488],"about_ca_topic_score_codex":0.004330211,"about_ca_topic_score_gemma":0.0021557463,"teacher_disagreement_score":0.004330211,"about_ca_system_score_codex":0.000398507,"about_ca_system_score_gemma":0.0006876732,"threshold_uncertainty_score":0.00861001},"labels":[],"label_agreement":null},{"id":"W4390811581","doi":"10.1016/j.jfranklin.2024.01.009","title":"Hybrid protocols for leader–follower consensus of multi-agent systems with distributed delays","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consensus; Multi-agent system; Computer science; Distributed computing; Artificial intelligence","score_opus":0.04121331711846778,"score_gpt":0.2902255774758158,"score_spread":0.24901226035734803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390811581","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":[0.02827814,0.00025979776,0.9680071,0.000122025376,0.000058479,0.00007473403,0.00001639908,0.00009506537,0.003088298],"genre_scores_gemma":[0.92208934,0.00033677416,0.07482619,0.000064540254,0.000037058533,0.00022537616,0.00004156911,0.000013977617,0.0023652534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995357,0.00012407666,0.00003603915,0.00008979358,0.00018236402,0.000032239117],"domain_scores_gemma":[0.9993437,0.00034707173,0.00009803724,0.00007009053,0.000113115566,0.000027954606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080239354,0.0004720951,0.00035041018,0.00034580167,0.00032534523,0.00068256404,0.0008786011,0.00062495226,0.0011123986],"category_scores_gemma":[0.0015273192,0.00014395427,0.00037391146,0.0002715533,0.00080146204,0.00088492077,0.0009681429,0.0007607956,0.00009997531],"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":[0.00009578847,0.00006419298,0.0004901819,0.00024937128,0.00006858397,0.00033273848,0.00036993565,0.75649446,0.024391698,0.1797903,0.000527913,0.037124883],"study_design_scores_gemma":[0.00002280198,0.000080059086,0.00006957259,0.000008284851,0.000011833111,0.000040150684,0.000031861735,0.9755544,0.0026082909,0.020218052,0.0013457501,0.000008969498],"about_ca_topic_score_codex":0.00078697834,"about_ca_topic_score_gemma":0.0005809272,"teacher_disagreement_score":0.0011123986,"about_ca_system_score_codex":0.00054700306,"about_ca_system_score_gemma":0.00059385586,"threshold_uncertainty_score":0.0042435527},"labels":[],"label_agreement":null},{"id":"W4392654438","doi":"10.1016/j.jfranklin.2024.106717","title":"Asynchronous deep reinforcement learning with gradient sharing for State of Charge balancing of multiple batteries in cyber–physical electric vehicles","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Battery Technologies Research","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchronous communication; Reinforcement learning; Cyber-physical system; Asynchronous learning; Computer science; Reinforcement; Charge (physics); State (computer science); Electrical engineering; Engineering; Computer network; Artificial intelligence; Psychology; Physics; Synchronous learning; Mathematics education; Cooperative learning","score_opus":0.010459388923613781,"score_gpt":0.24458355878056545,"score_spread":0.23412416985695167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392654438","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":[0.17255813,0.0008662224,0.8189573,0.000643411,0.00020840392,0.000064744454,0.00006142381,0.0005109942,0.0061292616],"genre_scores_gemma":[0.9887016,0.000042463253,0.009788214,0.00005374912,0.000018913404,0.000023787083,0.000021179945,0.000015370535,0.0013347508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997788,0.000065795895,0.00001036684,0.00004863734,0.000044402794,0.000051939704],"domain_scores_gemma":[0.9993098,0.00043222387,0.000056755696,0.00003218072,0.000120046105,0.000049038397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009105899,0.0006424883,0.00088345195,0.0002547814,0.0003683785,0.000710344,0.0011391639,0.000845751,0.00215793],"category_scores_gemma":[0.0019620117,0.00043683883,0.00032884028,0.000213678,0.00064616546,0.0008337049,0.0009974721,0.0011136296,0.00018477082],"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":[0.000086535736,0.000056301174,0.00041601073,0.000029469717,0.00001873243,0.000030707284,0.000027161412,0.9730218,0.0006510175,0.0024295065,0.00062482065,0.022607982],"study_design_scores_gemma":[0.000003186312,0.000008122259,0.000025064028,9.291126e-7,0.0000012942074,0.0000012744695,0.0000015960461,0.9993387,0.00008011567,0.0005066966,0.00003213093,8.2210306e-7],"about_ca_topic_score_codex":0.009977977,"about_ca_topic_score_gemma":0.010932129,"teacher_disagreement_score":0.009977977,"about_ca_system_score_codex":0.0009325733,"about_ca_system_score_gemma":0.0010041748,"threshold_uncertainty_score":0.019839764},"labels":[],"label_agreement":null},{"id":"W4392983226","doi":"10.1016/j.jfranklin.2024.106742","title":"Sensor fault detection and compensation with performance prescription for robotic manipulators","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fault Detection and Control Systems","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Fault detection and isolation; Medical prescription; Compensation (psychology); Robot manipulator; Computer science; Fault (geology); Control engineering; Artificial intelligence; Control theory (sociology); Robot; Engineering; Medicine; Psychology; Control (management); Pharmacology; Actuator; Biology","score_opus":0.011274605004813587,"score_gpt":0.20750882038236357,"score_spread":0.19623421537754998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392983226","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":[0.076701224,0.00020148045,0.9183992,0.00032008247,0.00005014819,0.00004056151,0.000040026258,0.00048439196,0.0037628405],"genre_scores_gemma":[0.95279586,0.000075414326,0.045241084,0.00003167424,0.000033267872,0.000027347562,0.000043106465,0.000033585377,0.0017187424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992737,0.00015848581,0.00003373283,0.000102329446,0.0003469971,0.00008479349],"domain_scores_gemma":[0.99924845,0.0002838699,0.00011903463,0.00010919295,0.00021068781,0.000028682776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094551133,0.00054992846,0.00042588075,0.0003193156,0.00035528242,0.0005403385,0.00053160463,0.00060894527,0.0007903467],"category_scores_gemma":[0.0038692164,0.00015436603,0.0002314601,0.00021510154,0.00062012224,0.00046395382,0.00047754718,0.00047295,0.00018045542],"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":[0.0009883445,0.00016707781,0.002146739,0.00020083075,0.00006206336,0.00028420772,0.00021506734,0.5904612,0.072514735,0.0717906,0.0023958667,0.25877336],"study_design_scores_gemma":[0.000013085235,0.00019456388,0.0010464755,0.00000633313,0.000009973099,0.00007515154,0.000015049726,0.9781739,0.011960075,0.007912697,0.00058134174,0.000011276112],"about_ca_topic_score_codex":0.0015901604,"about_ca_topic_score_gemma":0.001323105,"teacher_disagreement_score":0.0015901604,"about_ca_system_score_codex":0.0005421395,"about_ca_system_score_gemma":0.0007733377,"threshold_uncertainty_score":0.0050004125},"labels":[],"label_agreement":null},{"id":"W4394935676","doi":"10.1016/j.jfranklin.2024.106840","title":"A Hierarchical approach for isolating sensor faults from un-stealthy attacks in large-scale systems","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fault Detection and 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":"Carleton University","funders":"","keywords":"Scale (ratio); Computer science; Computer security; Distributed computing; Geography; Cartography","score_opus":0.011929425802966727,"score_gpt":0.2425689830134769,"score_spread":0.2306395572105102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394935676","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":[0.014790138,0.00017057505,0.9829243,0.000099297045,0.000025604746,0.000046775996,0.000033288205,0.00045001737,0.0014599793],"genre_scores_gemma":[0.7435739,0.00020127409,0.2523429,0.00015271117,0.00006753639,0.00011228731,0.00011785917,0.000111678804,0.0033199084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993844,0.00012369179,0.000034891633,0.00013046515,0.00019516711,0.00013137421],"domain_scores_gemma":[0.99847573,0.000591799,0.00015008032,0.00037735657,0.00026678373,0.00013830108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008620035,0.00070384704,0.00082836644,0.00094236404,0.00080223684,0.00080215203,0.001460452,0.0007835739,0.002265031],"category_scores_gemma":[0.0026028436,0.00044188934,0.00067477993,0.0006032012,0.0009651511,0.0013979838,0.0021708584,0.0009820851,0.00039501407],"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":[0.0002063052,0.00015713893,0.001468924,0.00017424842,0.00010333904,0.00016216851,0.00025311875,0.80541205,0.024843486,0.02691491,0.0026744755,0.13762985],"study_design_scores_gemma":[0.000007125295,0.000049743787,0.00022995657,0.00000444039,0.000015968162,0.000018464081,0.0000265043,0.98954624,0.0013693242,0.008327197,0.00039782413,0.0000072055054],"about_ca_topic_score_codex":0.0048009595,"about_ca_topic_score_gemma":0.010074838,"teacher_disagreement_score":0.0048009595,"about_ca_system_score_codex":0.0008658263,"about_ca_system_score_gemma":0.001488335,"threshold_uncertainty_score":0.009545982},"labels":[],"label_agreement":null},{"id":"W4395686000","doi":"10.1016/j.jfranklin.2024.106874","title":"2D and 3D compatible chaotic image encryption system based on checkers rules and shift register","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","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":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Encryption; Register (sociolinguistics); Shift register; Chaotic; Image (mathematics); Computer science; Arithmetic; Theoretical computer science; Algorithm; Artificial intelligence; Computer vision; Computer security; Mathematics; Linguistics; Philosophy; Telecommunications","score_opus":0.014157254685328127,"score_gpt":0.23915138744128497,"score_spread":0.22499413275595684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395686000","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":[0.6486912,0.00038904816,0.32213417,0.00038799553,0.00031842783,0.00014801775,0.00024955935,0.0014045261,0.026277108],"genre_scores_gemma":[0.9663992,0.00006505047,0.030564032,0.000060823557,0.0000151487,0.000029565055,0.00005649069,0.000018823723,0.002790884],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998011,0.00003701603,0.0000139289505,0.000040124196,0.00008469241,0.000023044551],"domain_scores_gemma":[0.99984133,0.000035525532,0.000023245482,0.00004337079,0.000040605035,0.00001586464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013101244,0.00021583024,0.00028131544,0.00026667636,0.00043538562,0.0005142054,0.00033148399,0.00039273078,0.0019541625],"category_scores_gemma":[0.00029091426,0.00016672986,0.0002547656,0.00021032382,0.00026459937,0.00045664355,0.00031230127,0.00018564142,0.00025880712],"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":[0.0018382329,0.00027790602,0.004935397,0.00018765849,0.00011709327,0.0017240419,0.00042569666,0.057828568,0.67984474,0.06601621,0.0037275353,0.18307695],"study_design_scores_gemma":[0.00032841612,0.0013138549,0.006296822,0.000038082027,0.00015933854,0.0025610025,0.00010765942,0.69240487,0.2650223,0.013162397,0.01840815,0.0001971855],"about_ca_topic_score_codex":0.00072221225,"about_ca_topic_score_gemma":0.001071915,"teacher_disagreement_score":0.0019541625,"about_ca_system_score_codex":0.00022519915,"about_ca_system_score_gemma":0.00045543877,"threshold_uncertainty_score":0.006537318},"labels":[],"label_agreement":null},{"id":"W4396780329","doi":"10.1016/j.jfranklin.2024.106884","title":"Online composite optimization with time-varying regularizers","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","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":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Regret; Metric (unit); Path (computing); Convex optimization; Upper and lower bounds; Function (biology); Regular polygon; Variation (astronomy); Convex function; Mathematical optimization; Mathematics; Computer science; Optimization problem; Online algorithm; Combinatorics; Statistics; Mathematical analysis; Physics; Engineering","score_opus":0.0543017719601523,"score_gpt":0.3727089263373512,"score_spread":0.3184071543771989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396780329","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":[0.016098894,0.00046400487,0.97894627,0.00045650714,0.00021081527,0.00003530129,0.00008092886,0.00024518682,0.0034621859],"genre_scores_gemma":[0.7113846,0.0008106426,0.26951647,0.000396293,0.0008119251,0.00022252114,0.00033511303,0.0002757895,0.016246641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99794704,0.00084761035,0.000107210784,0.00046244884,0.00041015205,0.00022557256],"domain_scores_gemma":[0.98824024,0.009355126,0.0005426573,0.0008252154,0.0007303526,0.0003064043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039452664,0.0017892256,0.0022502441,0.000809236,0.0005908298,0.0025097309,0.0017000693,0.0021714082,0.004470748],"category_scores_gemma":[0.015686162,0.0009431105,0.0008514719,0.0014080469,0.0018565526,0.003560563,0.0025892747,0.0032684759,0.0009788483],"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":[0.001045106,0.00029748157,0.0005557354,0.0002522318,0.00012252487,0.00013216853,0.000060952145,0.8345932,0.0025628991,0.084802285,0.0044085826,0.07116677],"study_design_scores_gemma":[0.000020585192,0.000047714348,0.000048272137,0.000006437549,0.000009074798,0.000012262475,0.000004897933,0.98618686,0.00049205427,0.012909168,0.00025598088,0.000006709113],"about_ca_topic_score_codex":0.0015754896,"about_ca_topic_score_gemma":0.0022005024,"teacher_disagreement_score":0.004470748,"about_ca_system_score_codex":0.0010110274,"about_ca_system_score_gemma":0.0018172209,"threshold_uncertainty_score":0.020864785},"labels":[],"label_agreement":null},{"id":"W4399563344","doi":"10.1016/j.jfranklin.2024.106994","title":"The impact of vaccination and social distancing on COVID-19: A compartmental model and an evolutionary game theory approach","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social distance; Coronavirus disease 2019 (COVID-19); Game theory; Distancing; 2019-20 coronavirus outbreak; Vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Evolutionary game theory; Mathematical economics; Virology; Economics; Biology; Medicine; Outbreak","score_opus":0.18096607895827949,"score_gpt":0.4490180547220401,"score_spread":0.2680519757637606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399563344","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":[0.57246983,0.0018452263,0.3657647,0.0052425223,0.00038307643,0.0003345689,0.0010235001,0.0001401502,0.05279637],"genre_scores_gemma":[0.9723154,0.00079711626,0.01034291,0.000233942,0.00006332988,0.00022701481,0.00013417014,0.00002390121,0.01586229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902296,0.00047959265,0.000028488332,0.00015230969,0.000084210435,0.00023246213],"domain_scores_gemma":[0.99808645,0.0011592803,0.0003312669,0.000044028788,0.00016894161,0.00021012513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012489056,0.0012981996,0.001242547,0.00089060003,0.00089013047,0.0021653809,0.0018863551,0.002471089,0.005193629],"category_scores_gemma":[0.004147262,0.0005346901,0.0016356355,0.00053881336,0.0012339137,0.0021931764,0.0016829129,0.0019300339,0.00038599313],"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":[0.00017138036,0.00016971375,0.0054758126,0.000119044445,0.00013604888,0.0007722424,0.0003462315,0.8897714,0.0017015131,0.096031606,0.0012255252,0.0040794373],"study_design_scores_gemma":[0.00003443417,0.00009744525,0.0010063422,0.000021831174,0.000074445794,0.00009659614,0.00015841033,0.9839676,0.0001165382,0.013522743,0.0008741111,0.00002944561],"about_ca_topic_score_codex":0.018665506,"about_ca_topic_score_gemma":0.009265746,"teacher_disagreement_score":0.018665506,"about_ca_system_score_codex":0.0022387113,"about_ca_system_score_gemma":0.001632119,"threshold_uncertainty_score":0.037113667},"labels":[],"label_agreement":null},{"id":"W4400036904","doi":"10.1016/j.jfranklin.2024.107036","title":"Adaptive-neural command filtered synchronization control of tele-robotic systems using disturbance observer with safety enhancement","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Teleoperation and Haptic Systems","field":"Engineering","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":"McGill University","funders":"","keywords":"Disturbance (geology); Control theory (sociology); Synchronization (alternating current); Computer science; Control engineering; Adaptive control; Observer (physics); Control (management); Artificial intelligence; Engineering; Telecommunications; Physics","score_opus":0.019756688638121554,"score_gpt":0.21810129786937016,"score_spread":0.1983446092312486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400036904","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":[0.083617136,0.00023993419,0.9111672,0.0001298502,0.00014966835,0.000043112086,0.000020826279,0.00025657777,0.004375752],"genre_scores_gemma":[0.98209053,0.00008006725,0.01558087,0.000027196993,0.00002549165,0.00003392062,0.000021882302,0.0000117569125,0.0021282726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998267,0.000034322333,0.000015620479,0.000038273778,0.000061788145,0.000023357608],"domain_scores_gemma":[0.9997017,0.00008781288,0.00005667398,0.000022875265,0.00011884516,0.000012082616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038898856,0.00036617793,0.00034497338,0.00015461085,0.00026432905,0.00046546635,0.00042816866,0.00036772082,0.0012202198],"category_scores_gemma":[0.000741737,0.00015624137,0.00021125679,0.00017158102,0.00032964698,0.00038308505,0.0004501287,0.00041731738,0.00014405273],"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":[0.0012937156,0.0003670039,0.001574793,0.00053131155,0.00013150393,0.00028835752,0.00040889878,0.556826,0.1504363,0.016682051,0.0023145035,0.26914546],"study_design_scores_gemma":[0.000033585464,0.00021590364,0.0006911875,0.00000779635,0.000013982199,0.000018373259,0.000010698565,0.99144167,0.0065302574,0.0004727057,0.0005565852,0.000007197131],"about_ca_topic_score_codex":0.0031555942,"about_ca_topic_score_gemma":0.0049679107,"teacher_disagreement_score":0.0031555942,"about_ca_system_score_codex":0.00028057455,"about_ca_system_score_gemma":0.00048300484,"threshold_uncertainty_score":0.0062744617},"labels":[],"label_agreement":null},{"id":"W4400556681","doi":"10.1016/j.jfranklin.2024.107059","title":"Adaptive tracking control for nonlinear multi-agent systems with stuck failures and unknown control directions","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear 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":"Concordia University","funders":"","keywords":"Nonlinear system; Control theory (sociology); Control (management); Tracking (education); Computer science; Adaptive control; Control engineering; Artificial intelligence; Psychology; Engineering; Physics","score_opus":0.019817623479351894,"score_gpt":0.24136240257065342,"score_spread":0.22154477909130152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400556681","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":[0.074466966,0.00041056905,0.92015845,0.0003429427,0.0001699323,0.00004400306,0.00003945613,0.00026347005,0.0041042482],"genre_scores_gemma":[0.9831256,0.00011591143,0.013901733,0.00003906067,0.000034761393,0.00005606495,0.000028652796,0.000016243095,0.0026819173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966383,0.00008241175,0.000024978937,0.00008719155,0.00009019528,0.000051378884],"domain_scores_gemma":[0.9983772,0.00075986865,0.00031243215,0.00011146775,0.00036038482,0.00007869227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011326359,0.0009784782,0.00083803054,0.000609686,0.00072741654,0.0011831552,0.0011666574,0.0012323862,0.0015388305],"category_scores_gemma":[0.0041487194,0.0005182753,0.0005001573,0.00045310086,0.0015187784,0.0010369034,0.00153529,0.0010279763,0.00021500538],"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":[0.0001455281,0.000024776908,0.0004894867,0.000068220405,0.00004426732,0.000116625524,0.00009915046,0.96719724,0.002073746,0.008616424,0.00042613404,0.020698419],"study_design_scores_gemma":[0.000011970441,0.00003885179,0.000117881005,0.000004450603,0.000005453689,0.00001025342,0.000007421666,0.9971361,0.00022864513,0.0023017037,0.00013286038,0.0000042961415],"about_ca_topic_score_codex":0.008387498,"about_ca_topic_score_gemma":0.005237301,"teacher_disagreement_score":0.008387498,"about_ca_system_score_codex":0.0007420686,"about_ca_system_score_gemma":0.00081385154,"threshold_uncertainty_score":0.01667738},"labels":[],"label_agreement":null},{"id":"W4400624347","doi":"10.1016/j.jfranklin.2024.107090","title":"Self-attention CNN based indoor human events detection with UWB radar","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced SAR Imaging Techniques","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":"Concordia University","funders":"","keywords":"Radar; Computer science; Remote sensing; Artificial intelligence; Geography; Telecommunications","score_opus":0.0068920208746960174,"score_gpt":0.2350494700520398,"score_spread":0.2281574491773438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400624347","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":[0.31062365,0.0015722679,0.6724719,0.00037197553,0.00045606002,0.00005635498,0.0005737347,0.0029546025,0.010919491],"genre_scores_gemma":[0.9301077,0.0004939121,0.05929882,0.0002693538,0.00015016981,0.000020353706,0.0006958641,0.0000836048,0.008880275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981135,0.00001954885,0.000005781264,0.00006970766,0.0000444628,0.000049069185],"domain_scores_gemma":[0.9998684,0.000035690384,0.000016249076,0.000025222686,0.000042691685,0.0000117800055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023645957,0.0005487099,0.000510471,0.00050571247,0.00013326781,0.0003716856,0.0005994567,0.00046573795,0.0013288694],"category_scores_gemma":[0.0004302024,0.00027491638,0.00040716885,0.00039342084,0.00014957816,0.00044276027,0.00058697484,0.00041895983,0.000726292],"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":[0.0004834287,0.00024996517,0.0069886823,0.00011457794,0.00016901543,0.00039071334,0.00009705592,0.06222714,0.0992122,0.0014447898,0.007010846,0.82161146],"study_design_scores_gemma":[0.000008059342,0.00011627482,0.008455287,0.000010649651,0.0000744459,0.0003207452,0.000034176584,0.96004593,0.0276956,0.0011254625,0.0020968518,0.000016430116],"about_ca_topic_score_codex":0.0019848703,"about_ca_topic_score_gemma":0.0043153786,"teacher_disagreement_score":0.0019848703,"about_ca_system_score_codex":0.00020767646,"about_ca_system_score_gemma":0.00023850008,"threshold_uncertainty_score":0.004445493},"labels":[],"label_agreement":null},{"id":"W4401433585","doi":"10.1016/j.jfranklin.2024.107154","title":"Comparison-based method to stability of positive 2-D continuous-time Roesser systems with time-varying delays","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":2,"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":"Ministry of Advanced Education, Skills and Training; Bộ Giáo dục và Ðào tạo","keywords":"Differentiable function; Stability (learning theory); Mathematics; Class (philosophy); Exponential function; Exponential stability; Control theory (sociology); Applied mathematics; Mathematical optimization; Computer science; Nonlinear system; Mathematical analysis; Control (management); Artificial intelligence","score_opus":0.012945209753393588,"score_gpt":0.25692813265248904,"score_spread":0.24398292289909546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401433585","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":[0.010642008,0.0002955716,0.9860232,0.000054592245,0.00012185493,0.000044489676,0.000017339527,0.00018243879,0.002618438],"genre_scores_gemma":[0.78020567,0.000450845,0.21349916,0.00010332692,0.0001336789,0.0002027,0.00007636759,0.000120426776,0.0052078376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993907,0.00026150205,0.000035613168,0.00011264517,0.00016403114,0.00003547087],"domain_scores_gemma":[0.9985482,0.0009226635,0.00007772629,0.000049877977,0.0003694288,0.000032095042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001970587,0.0008066926,0.0011327934,0.0011283724,0.0006145428,0.0008151217,0.0010515272,0.0009183812,0.004507648],"category_scores_gemma":[0.0031145804,0.00023299208,0.00065506203,0.000693739,0.00057332887,0.0009843844,0.0008664222,0.0008791232,0.00040335231],"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":[0.0008869106,0.00016371811,0.00079516333,0.00055616477,0.00020147141,0.00014638233,0.00021917201,0.66804194,0.02155164,0.048362963,0.001834671,0.2572398],"study_design_scores_gemma":[0.00001147023,0.000080403195,0.000101014535,0.000006623138,0.00000901877,0.00001249683,0.0000070311035,0.9965126,0.00085495965,0.0018733309,0.00052304147,0.000007994508],"about_ca_topic_score_codex":0.0027701713,"about_ca_topic_score_gemma":0.0018509403,"teacher_disagreement_score":0.004507648,"about_ca_system_score_codex":0.0006895964,"about_ca_system_score_gemma":0.00064927054,"threshold_uncertainty_score":0.0150796175},"labels":[],"label_agreement":null},{"id":"W4402328514","doi":"10.1016/j.jfranklin.2024.107264","title":"A randomized algorithm based approach to fault detection for uncertain systems subject to deception attack","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Smart Grid Security and Resilience","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":"Carleton University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Deception; Subject (documents); Computer science; Algorithm; Fault (geology); Artificial intelligence; Psychology; Machine learning; Social psychology","score_opus":0.021436050835045503,"score_gpt":0.2639857763408155,"score_spread":0.24254972550576998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402328514","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":[0.0045590834,0.00014352238,0.99401134,0.00019312918,0.000066808105,0.00004530251,0.000021759546,0.00017339102,0.00078553864],"genre_scores_gemma":[0.57661533,0.00032829333,0.4167714,0.00041313205,0.00033884466,0.00035440808,0.00016538014,0.00011392596,0.0048992033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976387,0.0009081025,0.00012175506,0.00051510107,0.00056987535,0.0002463771],"domain_scores_gemma":[0.98954237,0.008185419,0.0005652323,0.0005357195,0.0009792143,0.000192004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035762442,0.001299456,0.0024436484,0.0013011724,0.00080608093,0.0018476397,0.0025074934,0.0022818053,0.0032699364],"category_scores_gemma":[0.014305073,0.0007951584,0.0010703319,0.0009167298,0.0020002555,0.0023662613,0.0022489491,0.0025185642,0.0004579991],"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":[0.0002966771,0.00009335591,0.0003162201,0.000096236705,0.00007969239,0.00007390281,0.000046403104,0.926775,0.0015927128,0.027775915,0.0012812485,0.04157271],"study_design_scores_gemma":[0.000012596684,0.00002465213,0.000023706185,0.000003311836,0.000004818211,0.000009132707,0.0000025011882,0.9958734,0.00017975413,0.003770605,0.000091791306,0.0000037021189],"about_ca_topic_score_codex":0.0039612143,"about_ca_topic_score_gemma":0.0033806248,"teacher_disagreement_score":0.0039612143,"about_ca_system_score_codex":0.0016735053,"about_ca_system_score_gemma":0.0029015848,"threshold_uncertainty_score":0.01891321},"labels":[],"label_agreement":null},{"id":"W4404351876","doi":"10.1016/j.jfranklin.2024.106981","title":"Special issue on monitoring and control of time-varying systems with cyber-physical interactions","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Smart Grid Security and Resilience","field":"Engineering","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 Alberta","funders":"National Natural Science Foundation of China; Alexander von Humboldt-Stiftung","keywords":"Cyber-physical system; Control (management); Computer security; Computer science; Artificial intelligence; Operating system","score_opus":0.006673733321202586,"score_gpt":0.22831700993022008,"score_spread":0.2216432766090175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404351876","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014921994,0.038276006,0.009024096,0.012183274,0.8956062,0.00016868148,0.00044589982,0.0003299991,0.04247361],"genre_scores_gemma":[0.007350496,0.024619978,0.0017668222,0.002253706,0.8725503,0.00010829815,0.0006900922,0.00026380486,0.090396404],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977603,0.00026763295,0.00021619839,0.0005529545,0.0009842468,0.00021864321],"domain_scores_gemma":[0.9934777,0.002249576,0.00042774845,0.00055220816,0.0022138115,0.0010788186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002929299,0.0027861944,0.0034415447,0.0031650732,0.0012564348,0.004961866,0.002176753,0.0038369354,0.07349414],"category_scores_gemma":[0.004188759,0.0006938451,0.0018771681,0.0018196995,0.0014183809,0.00313383,0.0018574664,0.0033840567,0.017839188],"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":[0.00017880298,0.00015730086,0.0003150982,0.0009030695,0.00010565546,0.0002861605,0.00003309545,0.0011609502,0.0013573023,0.006072125,0.92435044,0.065079994],"study_design_scores_gemma":[0.00005787713,0.00036525648,0.001947662,0.0004265165,0.000096838914,0.0005911816,0.000045287692,0.0050731134,0.00083380233,0.0088195,0.9816975,0.000045381512],"about_ca_topic_score_codex":0.0007542677,"about_ca_topic_score_gemma":0.0014925794,"teacher_disagreement_score":0.07349414,"about_ca_system_score_codex":0.0013264107,"about_ca_system_score_gemma":0.0015416346,"threshold_uncertainty_score":0.24586236},"labels":[],"label_agreement":null},{"id":"W4406418893","doi":"10.1016/j.jfranklin.2025.107517","title":"Dynamic sliding mode control for ball screw drive systems under a disturbance observer scheme","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Iterative Learning Control Systems","field":"Engineering","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":"Ministry of Education and Child Care","funders":"National Major Science and Technology Projects of China; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Control theory (sociology); Sliding mode control; Ball screw; Disturbance (geology); Observer (physics); Ball (mathematics); Scheme (mathematics); Control engineering; Mode (computer interface); Computer science; Engineering; Control (management); Physics; Mechanical engineering; Mathematics; Geology; Artificial intelligence; Nonlinear system","score_opus":0.008616737717376956,"score_gpt":0.24417716209558002,"score_spread":0.23556042437820307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406418893","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":[0.0617523,0.0002370079,0.93284327,0.0001270736,0.00011313935,0.000043022912,0.000027918624,0.00029295642,0.004563377],"genre_scores_gemma":[0.9856485,0.00010796752,0.011783342,0.00001879405,0.000018043562,0.000044321278,0.000024345234,0.000011531636,0.0023431873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999783,0.000052937427,0.000015195507,0.0000428776,0.00007884149,0.000027225384],"domain_scores_gemma":[0.99972683,0.00008095385,0.000049745107,0.00003140974,0.000099630684,0.000011442301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050939363,0.00052620214,0.0006304558,0.00023299808,0.00031423327,0.0007977244,0.00060548366,0.00051816937,0.0014442282],"category_scores_gemma":[0.0009020533,0.00018312773,0.00025503486,0.00025109533,0.00064325694,0.0005727627,0.0006106709,0.00046396285,0.00020995874],"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":[0.0009295731,0.00016051262,0.0009524858,0.00040513626,0.00009598092,0.000286542,0.0005374797,0.7616992,0.050271258,0.04871467,0.002262804,0.13368429],"study_design_scores_gemma":[0.000024934747,0.00015220931,0.00019969812,0.000004970388,0.000007537052,0.000013513673,0.000009327551,0.9959254,0.0016228075,0.0015815526,0.0004521779,0.0000058315413],"about_ca_topic_score_codex":0.004373333,"about_ca_topic_score_gemma":0.003669987,"teacher_disagreement_score":0.004373333,"about_ca_system_score_codex":0.0003527275,"about_ca_system_score_gemma":0.0005224917,"threshold_uncertainty_score":0.008695781},"labels":[],"label_agreement":null},{"id":"W4406661623","doi":"10.1016/j.jfranklin.2025.107528","title":"Fuzzy Logic based adaptive control of robot manipulators driven by BLDC Motors","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear Systems","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":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Robot manipulator; Control theory (sociology); Fuzzy logic; Control engineering; Computer science; Artificial intelligence; Robot; Control (management); Engineering","score_opus":0.011785639727446034,"score_gpt":0.22184759827392045,"score_spread":0.21006195854647441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406661623","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":[0.15110114,0.0008670237,0.8280781,0.00030560532,0.000312741,0.00014200619,0.00005943061,0.000654261,0.018479763],"genre_scores_gemma":[0.9822757,0.00014288058,0.014763017,0.000050140545,0.000023910054,0.000051993426,0.000020457497,0.000008989053,0.0026630345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998398,0.000028784065,0.000010785196,0.000029443177,0.00006855171,0.000022699],"domain_scores_gemma":[0.9997148,0.0000796627,0.00006618602,0.000012446105,0.000111130204,0.000015906457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037029534,0.0003860095,0.00034844992,0.00033043016,0.00045573604,0.00069398625,0.0005763024,0.000509131,0.001558464],"category_scores_gemma":[0.0005796034,0.00019143586,0.000192626,0.000221206,0.0003770733,0.00022343341,0.0002440566,0.0003700074,0.00023930713],"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":[0.0007974919,0.00019231951,0.00070042093,0.00042381432,0.00006282045,0.0003565472,0.00021656124,0.7760592,0.07851376,0.0057232887,0.0016931825,0.13526057],"study_design_scores_gemma":[0.00004267931,0.00023788493,0.00055419415,0.000017966302,0.000015210331,0.000026571399,0.000018621895,0.99332654,0.0041539064,0.00066212314,0.00093529583,0.000009065854],"about_ca_topic_score_codex":0.005427368,"about_ca_topic_score_gemma":0.006716748,"teacher_disagreement_score":0.005427368,"about_ca_system_score_codex":0.00038921981,"about_ca_system_score_gemma":0.00037531674,"threshold_uncertainty_score":0.01079154},"labels":[],"label_agreement":null},{"id":"W4408549400","doi":"10.1016/j.jfranklin.2025.107650","title":"Robust Rao-type tests for step-stress accelerated lifetests with interval-censored data and Weibull lifetime distributions","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia, Innovación y Universidades","keywords":"Weibull distribution; Statistics; Interval (graph theory); Stress (linguistics); Mathematics; Reliability engineering; Econometrics; Engineering; Combinatorics","score_opus":0.1197921529426134,"score_gpt":0.3786472770385548,"score_spread":0.25885512409594136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408549400","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":[0.008959888,0.00032149183,0.98921275,0.00009085856,0.000026368449,0.00011042443,0.00013276444,0.00033790423,0.0008075377],"genre_scores_gemma":[0.3643826,0.00093622616,0.62851125,0.00028859792,0.00021963642,0.0013550301,0.001365926,0.00032083638,0.0026200092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98182756,0.011066367,0.0007850826,0.0017952629,0.004158437,0.0003672327],"domain_scores_gemma":[0.82853585,0.146333,0.007915917,0.010074647,0.0062768394,0.0008636624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024393085,0.001487072,0.0019062554,0.0034433014,0.0005279872,0.0015827738,0.0035739427,0.0019790942,0.004509311],"category_scores_gemma":[0.16162895,0.00064614904,0.0018420848,0.002482044,0.0034110586,0.003354078,0.0026691,0.0034227788,0.001452681],"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":[0.00083967514,0.00032052584,0.016713656,0.0010318076,0.00097533374,0.0007568877,0.00055271253,0.32481796,0.010327654,0.3563325,0.0037775154,0.28355378],"study_design_scores_gemma":[0.00012046357,0.0007953887,0.0068932744,0.00016306306,0.000124447,0.0006331415,0.0001603592,0.81259435,0.0068680104,0.16625348,0.0052562733,0.00013770982],"about_ca_topic_score_codex":0.00076395227,"about_ca_topic_score_gemma":0.00073301105,"teacher_disagreement_score":0.024393085,"about_ca_system_score_codex":0.00078076916,"about_ca_system_score_gemma":0.0021642179,"threshold_uncertainty_score":0.12900448},"labels":[],"label_agreement":null},{"id":"W4409382651","doi":"10.1016/j.jfranklin.2025.107688","title":"Multi-agent control synthesis from global temporal logic tasks with synchronous satisfaction requirements","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Logic, Reasoning, and Knowledge","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":"National Natural Science Foundation of China","keywords":"Control (management); Computer science; Temporal logic; Linear temporal logic; Distributed computing; Artificial intelligence; Theoretical computer science","score_opus":0.01958216101172061,"score_gpt":0.26598155602445417,"score_spread":0.24639939501273356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409382651","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":[0.03630432,0.0000557631,0.9570968,0.00013090072,0.000025450181,0.000114138034,0.00005098064,0.0003680712,0.0058536255],"genre_scores_gemma":[0.8397362,0.00007266686,0.15671751,0.00006619246,0.000020948042,0.00022944447,0.00014593267,0.0001155092,0.0028956656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992555,0.00018389671,0.0000541672,0.00017071806,0.00022140205,0.00011424964],"domain_scores_gemma":[0.9983576,0.0010781294,0.00014815934,0.00014630647,0.00020353054,0.00006622772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012777067,0.0008241876,0.00088953867,0.0005598339,0.0005827797,0.0015167486,0.0008667206,0.00070559117,0.0032168054],"category_scores_gemma":[0.0039572413,0.00050515216,0.0009253184,0.00045425634,0.00090311543,0.001159223,0.0017272516,0.0009533473,0.00030651092],"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":[0.00022269302,0.00009552549,0.00034280267,0.00016368073,0.000048573158,0.0002607939,0.0002298962,0.91001505,0.007772788,0.043205716,0.0007119526,0.036930513],"study_design_scores_gemma":[0.000029675384,0.00004163058,0.000062679464,0.000008160521,0.000014534471,0.000012196397,0.000034023902,0.9835873,0.0019325146,0.013785926,0.00048681835,0.00000454249],"about_ca_topic_score_codex":0.0037568016,"about_ca_topic_score_gemma":0.0056895283,"teacher_disagreement_score":0.0037568016,"about_ca_system_score_codex":0.0008376094,"about_ca_system_score_gemma":0.0016063099,"threshold_uncertainty_score":0.010761261},"labels":[],"label_agreement":null},{"id":"W4411177140","doi":"10.1016/j.jfranklin.2025.107766","title":"Reliable truncation parameter selection and model order estimation for stochastic subspace identification","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Structural Health Monitoring Techniques","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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truncation (statistics); Subspace topology; Identification (biology); Selection (genetic algorithm); Estimation; Estimation theory; Mathematics; Applied mathematics; Truncation selection; Computer science; Mathematical optimization; Statistics; Artificial intelligence; Engineering; Biology","score_opus":0.015983231526164515,"score_gpt":0.29677409201596655,"score_spread":0.28079086048980206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411177140","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":[0.0018792195,0.000107906984,0.9975599,0.000039294977,0.000013222773,0.0000109823,0.000023526687,0.00010243667,0.0002634398],"genre_scores_gemma":[0.33749706,0.001330468,0.6561131,0.00019764449,0.0001642,0.0003614332,0.00089143834,0.00032708416,0.0031175802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998252,0.00064602465,0.000116543066,0.00030335682,0.0005966848,0.00008547706],"domain_scores_gemma":[0.99725926,0.001430052,0.00036644362,0.00042696358,0.00043898614,0.0000783122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022188385,0.0017222802,0.0014153537,0.0010315705,0.0005783152,0.00096838136,0.0009814748,0.0009781986,0.0014224064],"category_scores_gemma":[0.009205686,0.0005920508,0.0013720191,0.0009298176,0.0010474105,0.0017372294,0.0018978223,0.0023651314,0.00082463573],"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":[0.0000999582,0.000053510856,0.0014763215,0.0002761822,0.00012126253,0.00013427172,0.00015045264,0.7992951,0.012647649,0.044172015,0.0020042714,0.13956897],"study_design_scores_gemma":[0.0000039213796,0.00002646996,0.00016422734,0.000015404288,0.00000729146,0.00003293335,0.000010521073,0.9867159,0.0021720647,0.009865605,0.0009676295,0.000017957916],"about_ca_topic_score_codex":0.0022578333,"about_ca_topic_score_gemma":0.0020556336,"teacher_disagreement_score":0.0022578333,"about_ca_system_score_codex":0.00052385335,"about_ca_system_score_gemma":0.0016351327,"threshold_uncertainty_score":0.011734486},"labels":[],"label_agreement":null},{"id":"W4411329789","doi":"10.1016/j.jfranklin.2025.107781","title":"Guaranteed finite-time <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si5.svg\" display=\"inline\" id=\"d1e309\"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> stability for uncertain nonlinear singular systems: A dynamic output feedback approach","year":2025,"lang":"lv","type":"article","venue":"Journal of the Franklin Institute","topic":"Stability and Control of Uncertain Systems","field":"Engineering","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":"Dalhousie University","funders":"","keywords":"Scalable Vector Graphics; Computer science; World Wide Web","score_opus":0.01734083202719697,"score_gpt":0.23565957788054998,"score_spread":0.218318745853353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411329789","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":[0.017006062,0.00047696274,0.9675382,0.00048735546,0.00010871477,0.000052358333,0.00037576823,0.0009562872,0.01299829],"genre_scores_gemma":[0.9221404,0.00041657113,0.06392312,0.00026662915,0.00012624059,0.00021751679,0.0006945362,0.00044812768,0.011766924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844474,0.000234223,0.00007802405,0.0003528953,0.000669715,0.00022039379],"domain_scores_gemma":[0.99167144,0.00519158,0.0007368115,0.0008443921,0.0013155219,0.0002402328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766865,0.0013569322,0.0012876998,0.0007099207,0.0010112604,0.0024115853,0.0016531675,0.0013185643,0.010895368],"category_scores_gemma":[0.010660745,0.0005537112,0.0010822187,0.0004949119,0.0015380863,0.002042067,0.0026620266,0.0025250774,0.0017832748],"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":[0.00066507136,0.00011561694,0.0011632623,0.00081345945,0.0001407217,0.0003925628,0.00056029414,0.5895155,0.011905237,0.29261866,0.012201112,0.089908496],"study_design_scores_gemma":[0.000051256833,0.00007330596,0.0002395968,0.0000496713,0.000019936175,0.00008134141,0.0000334392,0.9209152,0.003101506,0.07277861,0.0026319593,0.000024263421],"about_ca_topic_score_codex":0.0039001617,"about_ca_topic_score_gemma":0.003668807,"teacher_disagreement_score":0.010895368,"about_ca_system_score_codex":0.001661307,"about_ca_system_score_gemma":0.0025733574,"threshold_uncertainty_score":0.036448658},"labels":[],"label_agreement":null},{"id":"W4413403244","doi":"10.1016/j.jfranklin.2025.107987","title":"Dwell-time-based robust <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.svg\"> <mml:msub> <mml:mi>H</mml:mi> <mml:mi>∞</mml:mi> </mml:msub> </mml:math> control for networked cascade switched nonlinear systems subject to actuator saturation","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Stability and Control of Uncertain Systems","field":"Engineering","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":"McMaster University","funders":"China Scholarship Council; Department of Education of Liaoning Province; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Computer science; Algorithm","score_opus":0.01347509656854257,"score_gpt":0.22526245123528227,"score_spread":0.2117873546667397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413403244","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":[0.044431396,0.0006418428,0.9466226,0.00035000758,0.00017066784,0.00006308306,0.00013423266,0.0007332409,0.006852842],"genre_scores_gemma":[0.98509884,0.00019000591,0.009823265,0.00006926667,0.000046039,0.000049429393,0.00012308086,0.00005343771,0.004546693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993838,0.00007750653,0.000036060937,0.00020390496,0.0002010888,0.000097544835],"domain_scores_gemma":[0.9986234,0.0006804919,0.00021453876,0.0000964712,0.00031136387,0.00007377668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010383041,0.0011460623,0.00094006606,0.00038810345,0.00052860886,0.0011769924,0.001505471,0.0010793523,0.0046839914],"category_scores_gemma":[0.0023041614,0.00043371314,0.00059457764,0.00027210687,0.0010490672,0.0011131126,0.001552827,0.001797456,0.0005853499],"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":[0.001560751,0.00017835617,0.00074903504,0.0006060476,0.00013356528,0.00022502555,0.0004567497,0.82670105,0.028111286,0.026465248,0.0046420707,0.110170886],"study_design_scores_gemma":[0.000031637413,0.00022955207,0.00019002787,0.000011902073,0.0000149332145,0.000021407945,0.000014731815,0.993457,0.003377924,0.002132848,0.00050386507,0.000014166205],"about_ca_topic_score_codex":0.0069711264,"about_ca_topic_score_gemma":0.006214495,"teacher_disagreement_score":0.0069711264,"about_ca_system_score_codex":0.0011501833,"about_ca_system_score_gemma":0.0012867851,"threshold_uncertainty_score":0.015669525},"labels":[],"label_agreement":null},{"id":"W4415939337","doi":"10.1016/j.jfranklin.2025.108164","title":"Vision-based prescribed-time guidance control for uncooperative tracking of nonholonomic vehicle using quadrotor UAV","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Adaptive Control of Nonlinear 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":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Nonholonomic system; Estimator; Lyapunov function; Convergence (economics); Backstepping; Tracking (education); Noise (video); Adaptive control","score_opus":0.013785874870102417,"score_gpt":0.26607668283159824,"score_spread":0.25229080796149583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415939337","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":[0.25208864,0.0006601459,0.73993754,0.00019682874,0.0002745509,0.000054712174,0.000029184112,0.00044101232,0.0063174297],"genre_scores_gemma":[0.9909881,0.000059996666,0.008118358,0.000022505637,0.000011185301,0.000013457738,0.000012447062,0.0000060573684,0.00076793606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998739,0.000016912822,0.00000608385,0.00003858019,0.000041993262,0.000022579254],"domain_scores_gemma":[0.9998105,0.000035479516,0.000044186854,0.000015071675,0.00007590533,0.000018765984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002141024,0.00043371727,0.00045062925,0.00024676824,0.00038728703,0.00043738008,0.00043518769,0.00035964543,0.00058485975],"category_scores_gemma":[0.00042852346,0.00019853297,0.00027920667,0.00019182285,0.00033507435,0.0003107909,0.0004939648,0.0003498526,0.00009788308],"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":[0.00075893756,0.00020179023,0.0023016713,0.00022547509,0.0000947375,0.0004322626,0.00028482015,0.7367886,0.09891713,0.0048014843,0.0018229508,0.15337023],"study_design_scores_gemma":[0.000017231394,0.00020942905,0.00052654574,0.00000377968,0.000008806149,0.00003141911,0.000012254983,0.99641126,0.0022407419,0.00026112306,0.0002718183,0.000005662004],"about_ca_topic_score_codex":0.0061084144,"about_ca_topic_score_gemma":0.005152794,"teacher_disagreement_score":0.0061084144,"about_ca_system_score_codex":0.00030341683,"about_ca_system_score_gemma":0.0005536521,"threshold_uncertainty_score":0.012145698},"labels":[],"label_agreement":null},{"id":"W4416146205","doi":"10.1016/j.jfranklin.2025.107936","title":"Delayed state fragmentation approach for descriptor modeling of half vehicle suspension under retarded sampled data control: An admissibility analysis","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Vibration Control and Rheological Fluids","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 Waterloo","funders":"Defence Science and Technology Group; Prince Sultan University; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Control theory (sociology); Stability (learning theory); Suspension (topology); State (computer science); Lyapunov function; Vehicle dynamics; Sampling (signal processing)","score_opus":0.048802613255196185,"score_gpt":0.2847253271656398,"score_spread":0.23592271391044362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416146205","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":[0.032508053,0.00014139783,0.96536946,0.000102023616,0.00003199563,0.00002923204,0.000045220062,0.00007647311,0.0016960533],"genre_scores_gemma":[0.9694398,0.0002688374,0.022751302,0.00007312105,0.000034633482,0.000112954614,0.00014801402,0.00004890331,0.0071223117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998227,0.00005357828,0.000010811922,0.000038129783,0.00005029744,0.000024465464],"domain_scores_gemma":[0.9991997,0.00040792828,0.00011029426,0.000060059636,0.0001931699,0.000028807806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008463999,0.000727731,0.0007412481,0.00052783726,0.0003513264,0.00096066674,0.0008186467,0.0009962645,0.002375157],"category_scores_gemma":[0.0015708071,0.0003306318,0.00073725014,0.00027833332,0.00075438555,0.0011194876,0.0010589084,0.0010677476,0.00026163645],"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":[0.000084775456,0.0000426216,0.00046112304,0.00008041005,0.000041321495,0.000091971735,0.00009650743,0.9611039,0.0038695193,0.021058159,0.00028690058,0.012782897],"study_design_scores_gemma":[0.0000015733697,0.000015256001,0.000030161285,0.0000013641543,0.0000025359295,0.0000026057407,0.0000035301093,0.9987557,0.00015073338,0.0009705423,0.000064459295,0.0000014996484],"about_ca_topic_score_codex":0.0050606346,"about_ca_topic_score_gemma":0.0030499871,"teacher_disagreement_score":0.0050606346,"about_ca_system_score_codex":0.00067956274,"about_ca_system_score_gemma":0.00073146855,"threshold_uncertainty_score":0.0100623965},"labels":[],"label_agreement":null},{"id":"W4417436708","doi":"10.1016/j.jfranklin.2025.108337","title":"Bridge-AE with knowledge embedding transfer and optimal input design for nonlinear predictive control","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","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":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; Science and Technology Program of Hunan Province; National Natural Science Foundation of China","keywords":"Interconnectivity; Embedding; Model predictive control; Nonlinear system; Process (computing); Control theory (sociology); Control (management); Industrial production; State (computer science)","score_opus":0.00940764102073363,"score_gpt":0.24150587452223446,"score_spread":0.23209823350150083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417436708","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":[0.006163196,0.00008393548,0.9919831,0.00007229649,0.000026919244,0.000017930748,0.0000125162,0.00007786831,0.0015621919],"genre_scores_gemma":[0.8540462,0.00021769412,0.1387073,0.00016725397,0.000069875656,0.00026598267,0.000120533325,0.00008228412,0.006322841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996394,0.00012312565,0.000019227788,0.00007565473,0.000094874915,0.00004774024],"domain_scores_gemma":[0.99924076,0.0004427372,0.00005174291,0.0000736227,0.00016367262,0.000027505414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013109554,0.0008274348,0.0010790357,0.0004195827,0.0004077517,0.00083020487,0.0011362789,0.001926952,0.0045567886],"category_scores_gemma":[0.003684188,0.0004904105,0.000593825,0.0004212634,0.0009399922,0.0016549495,0.0024771756,0.001351906,0.0006569984],"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":[0.0001767034,0.00011501842,0.00019321937,0.00014807426,0.00006054626,0.00007363608,0.00009217132,0.85748774,0.004663084,0.04336642,0.0011934268,0.09242993],"study_design_scores_gemma":[0.000005793849,0.000045080717,0.00002626753,0.0000057571883,0.0000035691467,0.0000065704025,0.0000037037767,0.991855,0.0005055621,0.007328962,0.00021018302,0.0000036341382],"about_ca_topic_score_codex":0.0015058495,"about_ca_topic_score_gemma":0.0012793117,"teacher_disagreement_score":0.0045567886,"about_ca_system_score_codex":0.0003268294,"about_ca_system_score_gemma":0.00076273206,"threshold_uncertainty_score":0.0152439475},"labels":[],"label_agreement":null}]}